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The Clarity Project

About Us

About Us

The Clarity Project is a 5-year UKRI-funded research project involving four UK Universities and associated industrial partners. Our aim is to organise open evaluations for hearing aid algorithms and to champion novel machine learning approaches to hearing aid speech-in-noise processing.

Currently more than 1.5 billion people live with hearing loss, and this number is set to increase as the global population ages. Yet only a small fraction of people who could benefit from hearing aids have them, and most people who have the devices don't use them often enough. A major reason for this low uptake is the perception that hearing aids do not perform well enough.

We aim to stimulate progress in hearing aid signal processing by organising open machine learning challenges. These challenges will focus on speech-in-noise listening, a situation in which hearing aid users report the most dissatisfaction. For each challenge, we will be providing simulation tools, datasets and baseline systems. Our data and code will all be open-sourced, with the aim of lowering barriers that currently prevent speech and audio researchers from considering hearing impairment. Our funding is also allowing us to evaluate challenge submissions by running listening tests with hearing impaired listeners.

The Clarity Team

Michael Akeroyd
Michael AkeroydUniversity of Nottingham
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Jianyuan Sun
Jianyuan SunUniversity of Sheffield
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Jon Barker
Jon BarkerUniversity of Sheffield
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Trevor Cox
Trevor CoxUniversity of Salford
Learn More
John Culling
John CullingUniversity of Cardiff
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Simone Graetzer
Simone GraetzerUniversity of Salford
Learn More
Graham Naylor
Graham NaylorUniversity of Nottingham
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Zehai Tu
Zehai TuUniversity of Sheffield
Learn More

The Clarity Steering Committee

Peter Derleth
Peter DerlethSonova AG
Christine Evers
Christine EversUniversity of Southampton
Ralph Holme
Ralph HolmeRoyal National Institute for the Deaf
Daniel Korzekwa
Daniel KorzekwaAmazon TTS Research

Our Clarity Partners

RNID logo.RNID logo.RNID logo.

Thanks to our funders

EPSRC logo.
+
Skip to main content

The Clarity Project

About Us

About Us

The Clarity Project is a 5-year UKRI-funded research project involving four UK Universities and associated industrial partners. Our aim is to organise open evaluations for hearing aid algorithms and to champion novel machine learning approaches to hearing aid speech-in-noise processing.

Currently more than 1.5 billion people live with hearing loss, and this number is set to increase as the global population ages. Yet only a small fraction of people who could benefit from hearing aids have them, and most people who have the devices don't use them often enough. A major reason for this low uptake is the perception that hearing aids do not perform well enough.

We aim to stimulate progress in hearing aid signal processing by organising open machine learning challenges. These challenges will focus on speech-in-noise listening, a situation in which hearing aid users report the most dissatisfaction. For each challenge, we will be providing simulation tools, datasets and baseline systems. Our data and code will all be open-sourced, with the aim of lowering barriers that currently prevent speech and audio researchers from considering hearing impairment. Our funding is also allowing us to evaluate challenge submissions by running listening tests with hearing impaired listeners.

The Clarity Team

Michael Akeroyd
Michael AkeroydUniversity of Nottingham
Learn More
Jianyuan Sun
Jianyuan SunUniversity of Sheffield
Learn More
Jon Barker
Jon BarkerUniversity of Sheffield
Learn More
Trevor Cox
Trevor CoxUniversity of Salford
Learn More
John Culling
John CullingUniversity of Cardiff
Learn More
Simone Graetzer
Simone GraetzerUniversity of Salford
Learn More
Graham Naylor
Graham NaylorUniversity of Nottingham
Learn More
Zehai Tu
Zehai TuUniversity of Sheffield
Learn More

The Clarity Steering Committee

Peter Derleth
Peter DerlethSonova AG
Christine Evers
Christine EversUniversity of Southampton
Ralph Holme
Ralph HolmeRoyal National Institute for the Deaf
Daniel Korzekwa
Daniel KorzekwaAmazon TTS Research

Our Clarity Partners

RNID logo.RNID logo.RNID logo.

Thanks to our funders

EPSRC logo.
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Here, 0 dB FS corresponds to approximately 100 dB, given the capabilities of the reproduction equipment. These signals will be played as is to the listener panel."]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"We also encourage you to submit your simulated hearing aid code."}),"\n",(0,t.jsx)(n.p,{children:"See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. 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We need a prediction model that takes the audio produced by a hearing aid and the listener's characteristics (e.g. audiogram) and estimates the speech intelligibility score that the listener would achieve in a listening test."}),"\n",(0,r.jsxs)(t.p,{children:["Last year we ran the ",(0,r.jsx)(t.a,{href:"https://claritychallenge.org/docs/cpc1/cpc1_intro",children:"CPC1 Challenge"})," to develop such models. The challenge was presented at an online workshop and a special session of Interspeech 2022. 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If you have questions, please contact us directly using the contact details found ",(0,r.jsx)(t.a,{href:"https://claritychallenge.org/contact",children:"here"}),"."]})]})}function d(e={}){const{wrapper:t}={...(0,a.a)(),...e.components};return t?(0,r.jsx)(t,{...e,children:(0,r.jsx)(h,{...e})}):h(e)}},11151:(e,t,n)=>{n.d(t,{Z:()=>s,a:()=>o});var r=n(67294);const a={},i=r.createContext(a);function o(e){const t=r.useContext(i);return r.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function s(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:o(e.components),r.createElement(i.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/07388163.c6508762.js b/assets/js/07388163.c6508762.js new file mode 100644 index 000000000..79d186f84 --- /dev/null +++ b/assets/js/07388163.c6508762.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[3424],{56232:(e,t,n)=>{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>o,default:()=>d,frontMatter:()=>i,metadata:()=>s,toc:()=>c});var r=n(17624),a=n(4552);const i={slug:"Announcing CPC2",title:"Announcing the 2nd Clarity Prediction Challenge (CPC2)",authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",image_url:"https://avatars.githubusercontent.com/jonbarker68"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["clarity","announcement","CPC2"]},o=void 0,s={permalink:"/blog/Announcing CPC2",source:"@site/blog/2023-03-17-announcing-CPC2.mdx",title:"Announcing the 2nd Clarity Prediction Challenge (CPC2)",description:"The 2nd Clarity Prediction Challenge - Register Now",date:"2023-03-17T00:00:00.000Z",formattedDate:"March 17, 2023",tags:[{label:"clarity",permalink:"/blog/tags/clarity"},{label:"announcement",permalink:"/blog/tags/announcement"},{label:"CPC2",permalink:"/blog/tags/cpc-2"}],readingTime:1.72,hasTruncateMarker:!1,authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",image_url:"https://avatars.githubusercontent.com/jonbarker68",imageURL:"https://avatars.githubusercontent.com/jonbarker68"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"Announcing CPC2",title:"Announcing the 2nd Clarity Prediction Challenge (CPC2)",authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",image_url:"https://avatars.githubusercontent.com/jonbarker68",imageURL:"https://avatars.githubusercontent.com/jonbarker68"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["clarity","announcement","CPC2"]},unlisted:!1,prevItem:{title:"Clarity-2023 Workshop @ Interspeech, Dublin",permalink:"/blog/Clarity-2023 Workshop @ Interspeech, Dublin"},nextItem:{title:"ICASSP 2023 evaluation data released",permalink:"/blog/ICASSP 2023 evaluation data released"}},l={authorsImageUrls:[void 0,void 0]},c=[{value:"Register now to take part",id:"register-now-to-take-part",level:3},{value:"Important Dates",id:"important-dates",level:3},{value:"What will be provided",id:"what-will-be-provided",level:3},{value:"For further information",id:"for-further-information",level:3}];function h(e){const t={a:"a",h3:"h3",li:"li",p:"p",ul:"ul",...(0,a.M)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsxs)(t.p,{children:["The 2nd Clarity Prediction Challenge - ",(0,r.jsx)(t.a,{href:"https://claritychallenge.org/docs/cpc2/taking_part/cpc2_registration",children:"Register Now"})]}),"\n",(0,r.jsx)(t.p,{children:"To allow the development of better hearing aids, we need ways to evaluate the speech intelligibility of audio signals automatically. We need a prediction model that takes the audio produced by a hearing aid and the listener's characteristics (e.g. audiogram) and estimates the speech intelligibility score that the listener would achieve in a listening test."}),"\n",(0,r.jsxs)(t.p,{children:["Last year we ran the ",(0,r.jsx)(t.a,{href:"https://claritychallenge.org/docs/cpc1/cpc1_intro",children:"CPC1 Challenge"})," to develop such models. The challenge was presented at an online workshop and a special session of Interspeech 2022. We are now running the 2nd round of this challenge (CPC2), which builds on the first by using more complex signals and a larger set of listening test data for training and evaluating the prediction systems."]}),"\n",(0,r.jsxs)(t.p,{children:["The outputs of the new challenge will be presented at an ",(0,r.jsx)(t.a,{href:"https://claritychallenge.org/clarity2023-workshop/",children:"ISCA workshop"})," that is being run as a satellite event to Interspeech 2023 in Dublin on 19th August 2023."]}),"\n",(0,r.jsx)(t.p,{children:"Full details can be found on the Challenge Website."}),"\n",(0,r.jsx)(t.h3,{id:"register-now-to-take-part",children:"Register now to take part"}),"\n",(0,r.jsxs)(t.p,{children:["If you are interested in participating please register now via the ",(0,r.jsx)(t.a,{href:"https://claritychallenge.org/docs/cpc2/taking_part/cpc2_registration",children:"online registration form"}),"."]}),"\n",(0,r.jsx)(t.h3,{id:"important-dates",children:"Important Dates"}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"March - Launch of challenge, release of training data + baseline system."}),"\n",(0,r.jsx)(t.li,{children:"1st July - Release of evaluation data and opening of submission window."}),"\n",(0,r.jsx)(t.li,{children:"31st July - Submission deadline."}),"\n",(0,r.jsx)(t.li,{children:"19th August - ISCA Clarity 2023 workshop @ Interspeech"}),"\n",(0,r.jsx)(t.li,{children:"19th September - Deadline for submission of finalised Workshop papers"}),"\n"]}),"\n",(0,r.jsx)(t.h3,{id:"what-will-be-provided",children:"What will be provided"}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"Audio produced by a variety of (simulated) hearing aids for speech-in-noise;"}),"\n",(0,r.jsx)(t.li,{children:"The corresponding clean reference signals (the original speech);"}),"\n",(0,r.jsx)(t.li,{children:"Characteristics of the listeners (pure tone audiograms, etc);"}),"\n",(0,r.jsx)(t.li,{children:"The measured speech intelligibility scores from listening tests, where hearing-impaired listeners were asked to say what they heard after listening to the hearing aid processed signals."}),"\n",(0,r.jsx)(t.li,{children:"Software tools including a baseline system based on HASPI scores."}),"\n"]}),"\n",(0,r.jsx)(t.h3,{id:"for-further-information",children:"For further information"}),"\n",(0,r.jsxs)(t.p,{children:["To be kept up to date please join our ",(0,r.jsx)(t.a,{href:"https://groups.google.com/g/clarity-challenge",children:"Clarity Challenge Google group"}),". If you have questions, please contact us directly using the contact details found ",(0,r.jsx)(t.a,{href:"https://claritychallenge.org/contact",children:"here"}),"."]})]})}function d(e={}){const{wrapper:t}={...(0,a.M)(),...e.components};return t?(0,r.jsx)(t,{...e,children:(0,r.jsx)(h,{...e})}):h(e)}},4552:(e,t,n)=>{n.d(t,{I:()=>s,M:()=>o});var r=n(11504);const a={},i=r.createContext(a);function o(e){const t=r.useContext(i);return r.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function s(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:o(e.components),r.createElement(i.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/07d79545.3afbd2a4.js b/assets/js/07d79545.3afbd2a4.js deleted file mode 100644 index f7241bca6..000000000 --- a/assets/js/07d79545.3afbd2a4.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[9556],{62724:(e,a,i)=>{i.r(a),i.d(a,{assets:()=>l,contentTitle:()=>o,default:()=>c,frontMatter:()=>s,metadata:()=>r,toc:()=>d});var n=i(85893),t=i(11151);const s={id:"icassp2023_submission",title:"ICASSP 2023 Submission",sidebar_label:"Submission",sidebar_position:14},o=void 0,r={id:"icassp2023/taking_part/icassp2023_submission",title:"ICASSP 2023 Submission",description:"- All teams are required to register for the challenge prior to submission. Please register as early as possible.",source:"@site/docs/icassp2023/taking_part/icassp2023_submission.mdx",sourceDirName:"icassp2023/taking_part",slug:"/icassp2023/taking_part/icassp2023_submission",permalink:"/docs/icassp2023/taking_part/icassp2023_submission",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:14,frontMatter:{id:"icassp2023_submission",title:"ICASSP 2023 Submission",sidebar_label:"Submission",sidebar_position:14},sidebar:"tutorialSidebar_icassp2023",previous:{title:"Find A Team",permalink:"/docs/icassp2023/taking_part/icassp2023_find_a_team"},next:{title:"FAQ",permalink:"/docs/icassp2023/taking_part/icassp2023_faq"}},l={},d=[{value:"What evaluation data is provided?",id:"what-evaluation-data-is-provided",level:2},{value:"What audio do I need to submit?",id:"what-audio-do-i-need-to-submit",level:2},{value:"Naming and packaging signals",id:"naming-and-packaging-signals",level:2},{value:"Using head rotation data and/or extended training data",id:"using-head-rotation-data-andor-extended-training-data",level:2},{value:"Technical report",id:"technical-report",level:2},{value:"How will intellectual property be handled?",id:"how-will-intellectual-property-be-handled",level:2},{value:"Where do I submit the signals?",id:"where-do-i-submit-the-signals",level:2}];function h(e){const a={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,t.a)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(a.admonition,{type:"info",children:(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:["All teams are ",(0,n.jsx)(a.a,{href:"./icassp2023_registration",children:"required to register"})," for the challenge prior to submission. Please register as early as possible."]}),"\n",(0,n.jsxs)(a.li,{children:["Evaluation data now available! ",(0,n.jsx)(a.a,{href:"https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO",children:"Download Now"}),"."]}),"\n"]})}),"\n",(0,n.jsx)(a.p,{children:"Submissions will be evaluated using a combination of HASPI and HASQI to give a combined speech intelligibility and speech quality metric."}),"\n",(0,n.jsx)(a.p,{children:"Key dates."}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"2nd Feb 2023"}),": Release of evaluation data."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"10th Feb 2023"}),": Submission by teams."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"14th Feb 2023"}),": Results released.Top 5 ranked teams invited to submit papers to ICASSP-2023"]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"20th Feb 2023"}),": Invited papers submitted to ICASSP-2023"]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"4-9th June 2023"}),": Overview paper and invited papers presented at dedicated ICASSP session"]}),"\n"]}),"\n",(0,n.jsx)(a.h2,{id:"what-evaluation-data-is-provided",children:"What evaluation data is provided?"}),"\n",(0,n.jsxs)(a.p,{children:["There will be two sets of evaluation data: i) the simulate set consisting of 1500 scenes generated in the same way as the training and development data (",(0,n.jsx)(a.code,{children:"eval1"}),"), ii) the real data consisting of real acoustic mixtures (",(0,n.jsx)(a.code,{children:"eval2"}),"). For details see ",(0,n.jsx)(a.a,{href:"../data/icassp2023_data",children:"the data description page"}),"."]}),"\n",(0,n.jsx)(a.p,{children:"For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of"}),"\n",(0,n.jsxs)(a.ol,{children:["\n",(0,n.jsx)(a.li,{children:"the audiograms for a set of listeners and"}),"\n",(0,n.jsx)(a.li,{children:"a mapping of which listeners will listen to which scenes."}),"\n"]}),"\n",(0,n.jsx)(a.p,{children:"There will also be some clean example utterances from the target talker, that are not the same as the target utterance, but which can be used to identify the target talker, i.e., to disambiguate scenes in which other speakers are present."}),"\n",(0,n.jsx)(a.p,{children:"For HASPI/HASQI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams."}),"\n",(0,n.jsx)(a.h2,{id:"what-audio-do-i-need-to-submit",children:"What audio do I need to submit?"}),"\n",(0,n.jsx)(a.p,{children:"You must submit the stereo audio signals produced at the output of your enhancement stage, which the organisers will process by the hearing aid amplification stage and the HASPI/HASQI evaluation metric. Signals should be submitted as stereo, floating point wav format signals, at the same sampling rate as the signals provided"}),"\n",(0,n.jsx)(a.h2,{id:"naming-and-packaging-signals",children:"Naming and packaging signals"}),"\n",(0,n.jsxs)(a.p,{children:["Your processed signals should be named using the conventions used by the baseline system, i.e., ",(0,n.jsx)(a.code,{children:"__enhanced.wav"})," and explained on the ",(0,n.jsx)(a.a,{href:"../data/icassp2023_data#d6-enhanced-signals",children:"data page"}),"."]}),"\n",(0,n.jsxs)(a.p,{children:["Place the processed signals for the two sets into separate directories named ",(0,n.jsx)(a.code,{children:"eval1"})," and ",(0,n.jsx)(a.code,{children:"eval2"}),"."]}),"\n",(0,n.jsxs)(a.p,{children:["These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., ",(0,n.jsx)(a.code,{children:"ICASSP2023_E001"})," and then packaged using ",(0,n.jsx)(a.code,{children:"zip"})," or ",(0,n.jsx)(a.code,{children:"tar"})," or any standard packaging tool, e.g., to make a packaged file called ",(0,n.jsx)(a.code,{children:".zip"})]}),"\n",(0,n.jsx)(a.p,{children:"The packaged file will have the following structure,"}),"\n",(0,n.jsx)(a.pre,{children:(0,n.jsx)(a.code,{className:"language-txt",children:"ICASSP2023_E001\n\u251c\u2500\u2500 eval1 (1500 processed signals)\n\u2514\u2500\u2500 eval2 (1500 processed signals)\n"})}),"\n",(0,n.jsx)(a.p,{children:"The resulting file should be about 4 GB."}),"\n",(0,n.jsx)(a.p,{children:"Upload the packaged data to the Google Drive link that you will have been sent."}),"\n",(0,n.jsx)(a.h2,{id:"using-head-rotation-data-andor-extended-training-data",children:"Using head rotation data and/or extended training data"}),"\n",(0,n.jsx)(a.p,{children:"We would like to be able to separately evaluate the benefit of using the head rotation and extra training data, so in accordance with the challenge rules,"}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:["\n",(0,n.jsx)(a.p,{children:"If you have trained on data which was not included in the core database, then please also provide outputs of a system trained only with the standard data."}),"\n"]}),"\n",(0,n.jsxs)(a.li,{children:["\n",(0,n.jsx)(a.p,{children:"If you have made use of the head rotation data you should also provide outputs of an equivalent system that does not use the head rotation data."}),"\n"]}),"\n"]}),"\n",(0,n.jsx)(a.p,{children:"If you have used extra training data and/or the head rotation data, then please package the outputs separately using the following naming convention,"}),"\n",(0,n.jsxs)(a.p,{children:[(0,n.jsx)(a.code,{children:"\u2039TEAM_ID\u203a.zip"})," - standard training data and no head rotation (all teams)"]}),"\n",(0,n.jsxs)(a.p,{children:[(0,n.jsx)(a.code,{children:"\u2039TEAM_ID\u203a_hr.zip"})," - standard data and using head rotation"]}),"\n",(0,n.jsxs)(a.p,{children:[(0,n.jsx)(a.code,{children:"\u2039TEAM_ID\u203a_data.zip"})," - extended training data without using head rotation"]}),"\n",(0,n.jsxs)(a.p,{children:[(0,n.jsx)(a.code,{children:"\u2039TEAM_ID\u203a_hr_data.zip"})," - extended training data and using head rotation"]}),"\n",(0,n.jsx)(a.h2,{id:"technical-report",children:"Technical report"}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:["For every entry, a technical report needs to be uploaded to the Google Drive along with your evaluation signals - see ",(0,n.jsx)(a.a,{href:"../icassp2023_dates",children:"here"})," for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules."]}),"\n",(0,n.jsx)(a.li,{children:"Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used."}),"\n",(0,n.jsx)(a.li,{children:"The report can be placed in the Google Drive alongside your data."}),"\n",(0,n.jsx)(a.li,{children:"The top five systems will be invited to submit a paper to the ICASSP 2023 special session."}),"\n"]}),"\n",(0,n.jsx)(a.h2,{id:"how-will-intellectual-property-be-handled",children:"How will intellectual property be handled?"}),"\n",(0,n.jsxs)(a.p,{children:["See ",(0,n.jsx)(a.a,{href:"./icassp2023_rules#intellectual-property",children:"here"})," under Intellectual Property."]}),"\n",(0,n.jsx)(a.h2,{id:"where-do-i-submit-the-signals",children:"Where do I submit the signals?"}),"\n",(0,n.jsx)(a.p,{children:"When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. We also encourage you to submit your enhancement code via this link."}),"\n",(0,n.jsx)(a.p,{children:"Materials uploaded will be visible to the Clarity Team but not to other entrants."}),"\n",(0,n.jsx)(a.admonition,{type:"warning",children:(0,n.jsx)(a.p,{children:"Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar."})})]})}function c(e={}){const{wrapper:a}={...(0,t.a)(),...e.components};return a?(0,n.jsx)(a,{...e,children:(0,n.jsx)(h,{...e})}):h(e)}},11151:(e,a,i)=>{i.d(a,{Z:()=>r,a:()=>o});var n=i(67294);const t={},s=n.createContext(t);function o(e){const a=n.useContext(s);return n.useMemo((function(){return"function"==typeof e?e(a):{...a,...e}}),[a,e])}function r(e){let a;return a=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:o(e.components),n.createElement(s.Provider,{value:a},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/07d79545.8ff38776.js b/assets/js/07d79545.8ff38776.js new file mode 100644 index 000000000..e71c0fbeb --- /dev/null +++ b/assets/js/07d79545.8ff38776.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[5276],{84676:(e,a,i)=>{i.r(a),i.d(a,{assets:()=>l,contentTitle:()=>o,default:()=>c,frontMatter:()=>s,metadata:()=>r,toc:()=>d});var n=i(17624),t=i(4552);const s={id:"icassp2023_submission",title:"ICASSP 2023 Submission",sidebar_label:"Submission",sidebar_position:14},o=void 0,r={id:"icassp2023/taking_part/icassp2023_submission",title:"ICASSP 2023 Submission",description:"- All teams are required to register for the challenge prior to submission. Please register as early as possible.",source:"@site/docs/icassp2023/taking_part/icassp2023_submission.mdx",sourceDirName:"icassp2023/taking_part",slug:"/icassp2023/taking_part/icassp2023_submission",permalink:"/docs/icassp2023/taking_part/icassp2023_submission",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:14,frontMatter:{id:"icassp2023_submission",title:"ICASSP 2023 Submission",sidebar_label:"Submission",sidebar_position:14},sidebar:"tutorialSidebar_icassp2023",previous:{title:"Find A Team",permalink:"/docs/icassp2023/taking_part/icassp2023_find_a_team"},next:{title:"FAQ",permalink:"/docs/icassp2023/taking_part/icassp2023_faq"}},l={},d=[{value:"What evaluation data is provided?",id:"what-evaluation-data-is-provided",level:2},{value:"What audio do I need to submit?",id:"what-audio-do-i-need-to-submit",level:2},{value:"Naming and packaging signals",id:"naming-and-packaging-signals",level:2},{value:"Using head rotation data and/or extended training data",id:"using-head-rotation-data-andor-extended-training-data",level:2},{value:"Technical report",id:"technical-report",level:2},{value:"How will intellectual property be handled?",id:"how-will-intellectual-property-be-handled",level:2},{value:"Where do I submit the signals?",id:"where-do-i-submit-the-signals",level:2}];function h(e){const a={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,t.M)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(a.admonition,{type:"info",children:(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:["All teams are ",(0,n.jsx)(a.a,{href:"./icassp2023_registration",children:"required to register"})," for the challenge prior to submission. Please register as early as possible."]}),"\n",(0,n.jsxs)(a.li,{children:["Evaluation data now available! ",(0,n.jsx)(a.a,{href:"https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO",children:"Download Now"}),"."]}),"\n"]})}),"\n",(0,n.jsx)(a.p,{children:"Submissions will be evaluated using a combination of HASPI and HASQI to give a combined speech intelligibility and speech quality metric."}),"\n",(0,n.jsx)(a.p,{children:"Key dates."}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"2nd Feb 2023"}),": Release of evaluation data."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"10th Feb 2023"}),": Submission by teams."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"14th Feb 2023"}),": Results released.Top 5 ranked teams invited to submit papers to ICASSP-2023"]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"20th Feb 2023"}),": Invited papers submitted to ICASSP-2023"]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsx)(a.strong,{children:"4-9th June 2023"}),": Overview paper and invited papers presented at dedicated ICASSP session"]}),"\n"]}),"\n",(0,n.jsx)(a.h2,{id:"what-evaluation-data-is-provided",children:"What evaluation data is provided?"}),"\n",(0,n.jsxs)(a.p,{children:["There will be two sets of evaluation data: i) the simulate set consisting of 1500 scenes generated in the same way as the training and development data (",(0,n.jsx)(a.code,{children:"eval1"}),"), ii) the real data consisting of real acoustic mixtures (",(0,n.jsx)(a.code,{children:"eval2"}),"). For details see ",(0,n.jsx)(a.a,{href:"../data/icassp2023_data",children:"the data description page"}),"."]}),"\n",(0,n.jsx)(a.p,{children:"For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of"}),"\n",(0,n.jsxs)(a.ol,{children:["\n",(0,n.jsx)(a.li,{children:"the audiograms for a set of listeners and"}),"\n",(0,n.jsx)(a.li,{children:"a mapping of which listeners will listen to which scenes."}),"\n"]}),"\n",(0,n.jsx)(a.p,{children:"There will also be some clean example utterances from the target talker, that are not the same as the target utterance, but which can be used to identify the target talker, i.e., to disambiguate scenes in which other speakers are present."}),"\n",(0,n.jsx)(a.p,{children:"For HASPI/HASQI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams."}),"\n",(0,n.jsx)(a.h2,{id:"what-audio-do-i-need-to-submit",children:"What audio do I need to submit?"}),"\n",(0,n.jsx)(a.p,{children:"You must submit the stereo audio signals produced at the output of your enhancement stage, which the organisers will process by the hearing aid amplification stage and the HASPI/HASQI evaluation metric. Signals should be submitted as stereo, floating point wav format signals, at the same sampling rate as the signals provided"}),"\n",(0,n.jsx)(a.h2,{id:"naming-and-packaging-signals",children:"Naming and packaging signals"}),"\n",(0,n.jsxs)(a.p,{children:["Your processed signals should be named using the conventions used by the baseline system, i.e., ",(0,n.jsx)(a.code,{children:"__enhanced.wav"})," and explained on the ",(0,n.jsx)(a.a,{href:"../data/icassp2023_data#d6-enhanced-signals",children:"data page"}),"."]}),"\n",(0,n.jsxs)(a.p,{children:["Place the processed signals for the two sets into separate directories named ",(0,n.jsx)(a.code,{children:"eval1"})," and ",(0,n.jsx)(a.code,{children:"eval2"}),"."]}),"\n",(0,n.jsxs)(a.p,{children:["These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., ",(0,n.jsx)(a.code,{children:"ICASSP2023_E001"})," and then packaged using ",(0,n.jsx)(a.code,{children:"zip"})," or ",(0,n.jsx)(a.code,{children:"tar"})," or any standard packaging tool, e.g., to make a packaged file called ",(0,n.jsx)(a.code,{children:".zip"})]}),"\n",(0,n.jsx)(a.p,{children:"The packaged file will have the following structure,"}),"\n",(0,n.jsx)(a.pre,{children:(0,n.jsx)(a.code,{className:"language-txt",children:"ICASSP2023_E001\n\u251c\u2500\u2500 eval1 (1500 processed signals)\n\u2514\u2500\u2500 eval2 (1500 processed signals)\n"})}),"\n",(0,n.jsx)(a.p,{children:"The resulting file should be about 4 GB."}),"\n",(0,n.jsx)(a.p,{children:"Upload the packaged data to the Google Drive link that you will have been sent."}),"\n",(0,n.jsx)(a.h2,{id:"using-head-rotation-data-andor-extended-training-data",children:"Using head rotation data and/or extended training data"}),"\n",(0,n.jsx)(a.p,{children:"We would like to be able to separately evaluate the benefit of using the head rotation and extra training data, so in accordance with the challenge rules,"}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:["\n",(0,n.jsx)(a.p,{children:"If you have trained on data which was not included in the core database, then please also provide outputs of a system trained only with the standard data."}),"\n"]}),"\n",(0,n.jsxs)(a.li,{children:["\n",(0,n.jsx)(a.p,{children:"If you have made use of the head rotation data you should also provide outputs of an equivalent system that does not use the head rotation data."}),"\n"]}),"\n"]}),"\n",(0,n.jsx)(a.p,{children:"If you have used extra training data and/or the head rotation data, then please package the outputs separately using the following naming convention,"}),"\n",(0,n.jsxs)(a.p,{children:[(0,n.jsx)(a.code,{children:"\u2039TEAM_ID\u203a.zip"})," - standard training data and no head rotation (all teams)"]}),"\n",(0,n.jsxs)(a.p,{children:[(0,n.jsx)(a.code,{children:"\u2039TEAM_ID\u203a_hr.zip"})," - standard data and using head rotation"]}),"\n",(0,n.jsxs)(a.p,{children:[(0,n.jsx)(a.code,{children:"\u2039TEAM_ID\u203a_data.zip"})," - extended training data without using head rotation"]}),"\n",(0,n.jsxs)(a.p,{children:[(0,n.jsx)(a.code,{children:"\u2039TEAM_ID\u203a_hr_data.zip"})," - extended training data and using head rotation"]}),"\n",(0,n.jsx)(a.h2,{id:"technical-report",children:"Technical report"}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:["For every entry, a technical report needs to be uploaded to the Google Drive along with your evaluation signals - see ",(0,n.jsx)(a.a,{href:"../icassp2023_dates",children:"here"})," for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules."]}),"\n",(0,n.jsx)(a.li,{children:"Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used."}),"\n",(0,n.jsx)(a.li,{children:"The report can be placed in the Google Drive alongside your data."}),"\n",(0,n.jsx)(a.li,{children:"The top five systems will be invited to submit a paper to the ICASSP 2023 special session."}),"\n"]}),"\n",(0,n.jsx)(a.h2,{id:"how-will-intellectual-property-be-handled",children:"How will intellectual property be handled?"}),"\n",(0,n.jsxs)(a.p,{children:["See ",(0,n.jsx)(a.a,{href:"./icassp2023_rules#intellectual-property",children:"here"})," under Intellectual Property."]}),"\n",(0,n.jsx)(a.h2,{id:"where-do-i-submit-the-signals",children:"Where do I submit the signals?"}),"\n",(0,n.jsx)(a.p,{children:"When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. We also encourage you to submit your enhancement code via this link."}),"\n",(0,n.jsx)(a.p,{children:"Materials uploaded will be visible to the Clarity Team but not to other entrants."}),"\n",(0,n.jsx)(a.admonition,{type:"warning",children:(0,n.jsx)(a.p,{children:"Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar."})})]})}function c(e={}){const{wrapper:a}={...(0,t.M)(),...e.components};return a?(0,n.jsx)(a,{...e,children:(0,n.jsx)(h,{...e})}):h(e)}},4552:(e,a,i)=>{i.d(a,{I:()=>r,M:()=>o});var n=i(11504);const t={},s=n.createContext(t);function o(e){const a=n.useContext(s);return n.useMemo((function(){return"function"==typeof e?e(a):{...a,...e}}),[a,e])}function r(e){let a;return a=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:o(e.components),n.createElement(s.Provider,{value:a},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/08762a6e.5547c5ab.js b/assets/js/08762a6e.5547c5ab.js new file mode 100644 index 000000000..f4836152e --- /dev/null +++ b/assets/js/08762a6e.5547c5ab.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[808],{66416:(e,t,n)=>{n.r(t),n.d(t,{assets:()=>s,contentTitle:()=>i,default:()=>u,frontMatter:()=>r,metadata:()=>l,toc:()=>c});var a=n(17624),o=n(4552);const r={slug:"Latency, computation time and real-time operation",title:"Latency, computation time and real-time operation",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["challenge","computation","enhancement","latency","real-time"]},i=void 0,l={permalink:"/blog/Latency, computation time and real-time operation",source:"@site/blog/2021-03-05-latency-computation-time-and-real-time-operation.mdx",title:"Latency, computation time and real-time operation",description:"An explanation of the time and computational limits for the first round of the enhancement challenge.",date:"2021-03-05T00:00:00.000Z",formattedDate:"March 5, 2021",tags:[{label:"challenge",permalink:"/blog/tags/challenge"},{label:"computation",permalink:"/blog/tags/computation"},{label:"enhancement",permalink:"/blog/tags/enhancement"},{label:"latency",permalink:"/blog/tags/latency"},{label:"real-time",permalink:"/blog/tags/real-time"}],readingTime:2.125,hasTruncateMarker:!0,authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"Latency, computation time and real-time operation",title:"Latency, computation time and real-time operation",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["challenge","computation","enhancement","latency","real-time"]},unlisted:!1,prevItem:{title:"Baseline speech intelligibility model in round one",permalink:"/blog/baseline"},nextItem:{title:"Clarity Challenge pre-announcement",permalink:"/blog/Clarity Challenge pre-announcement"}},s={authorsImageUrls:[void 0]},c=[{value:"The 1st Clarity Enhancement Challenge",id:"the-1st-clarity-enhancement-challenge",level:2}];function m(e){const t={h2:"h2",li:"li",p:"p",ul:"ul",...(0,o.M)(),...e.components};return(0,a.jsxs)(a.Fragment,{children:[(0,a.jsx)(t.p,{children:"An explanation of the time and computational limits for the first round of the enhancement challenge."}),"\n",(0,a.jsx)(t.h2,{id:"the-1st-clarity-enhancement-challenge",children:"The 1st Clarity Enhancement Challenge"}),"\n",(0,a.jsx)(t.p,{children:"For a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. 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\ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[4852],{89440:a=>{a.exports=JSON.parse('{"label":"CEC2","permalink":"/blog/tags/cec-2","allTagsPath":"/blog/tags","count":6,"unlisted":false}')}}]); \ No newline at end of file diff --git a/assets/js/0e75a8e6.792aafca.js b/assets/js/0e75a8e6.5c838321.js similarity index 72% rename from assets/js/0e75a8e6.792aafca.js rename to assets/js/0e75a8e6.5c838321.js index f8ed4ac26..7dea0691a 100644 --- a/assets/js/0e75a8e6.792aafca.js +++ b/assets/js/0e75a8e6.5c838321.js @@ -1 +1 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[2365],{38050:a=>{a.exports=JSON.parse('{"label":"clarity","permalink":"/blog/tags/clarity","allTagsPath":"/blog/tags","count":15,"unlisted":false}')}}]); \ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6504],{10286:a=>{a.exports=JSON.parse('{"label":"clarity","permalink":"/blog/tags/clarity","allTagsPath":"/blog/tags","count":15,"unlisted":false}')}}]); 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-exports.id = 765; -exports.ids = [765]; +exports.id = 100; +exports.ids = [100]; exports.modules = { -/***/ 41644: +/***/ 32304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - bK: () => (/* reexport */ layout) + cn: () => (/* reexport */ layout) }); // UNUSED EXPORTS: acyclic, normalize, rank // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/uniqueId.js -var uniqueId = __webpack_require__(66749); +var uniqueId = __webpack_require__(41696); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); +var map = __webpack_require__(92696); // EXTERNAL MODULE: ./node_modules/lodash-es/range.js + 2 modules -var range = __webpack_require__(74379); +var range = __webpack_require__(52264); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); +var graphlib = __webpack_require__(95536); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/data/list.js /* * Simple doubly linked list implementation derived from Cormen, et al., @@ -101,7 +101,7 @@ function filterOutLinks(k, v) { */ -var DEFAULT_WEIGHT_FN = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FN = constant/* default */.c(1); function greedyFAS(g, weightFn) { if (g.nodeCount() <= 1) { @@ -111,8 +111,8 @@ function greedyFAS(g, weightFn) { var results = doGreedyFAS(state.graph, state.buckets, state.zeroIdx); // Expand multi-edges - return flatten/* default */.Z( - map/* default */.Z(results, function (e) { + return flatten/* default */.c( + map/* default */.c(results, function (e) { return g.outEdges(e.v, e.w); }) ); @@ -148,7 +148,7 @@ function doGreedyFAS(g, buckets, zeroIdx) { function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { var results = collectPredecessors ? [] : undefined; - forEach/* default */.Z(g.inEdges(entry.v), function (edge) { + forEach/* default */.c(g.inEdges(entry.v), function (edge) { var weight = g.edge(edge); var uEntry = g.node(edge.v); @@ -160,7 +160,7 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { assignBucket(buckets, zeroIdx, uEntry); }); - forEach/* default */.Z(g.outEdges(entry.v), function (edge) { + forEach/* default */.c(g.outEdges(entry.v), function (edge) { var weight = g.edge(edge); var w = edge.w; var wEntry = g.node(w); @@ -174,17 +174,17 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { } function buildState(g, weightFn) { - var fasGraph = new graphlib/* Graph */.k(); + var fasGraph = new graphlib/* Graph */.M(); var maxIn = 0; var maxOut = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { fasGraph.setNode(v, { v: v, in: 0, out: 0 }); }); // Aggregate weights on nodes, but also sum the weights across multi-edges // into a single edge for the fasGraph. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var prevWeight = fasGraph.edge(e.v, e.w) || 0; var weight = weightFn(e); var edgeWeight = prevWeight + weight; @@ -193,12 +193,12 @@ function buildState(g, weightFn) { maxIn = Math.max(maxIn, (fasGraph.node(e.w)['in'] += weight)); }); - var buckets = range/* default */.Z(maxOut + maxIn + 3).map(function () { + var buckets = range/* default */.c(maxOut + maxIn + 3).map(function () { return new List(); }); var zeroIdx = maxIn + 1; - forEach/* default */.Z(fasGraph.nodes(), function (v) { + forEach/* default */.c(fasGraph.nodes(), function (v) { assignBucket(buckets, zeroIdx, fasGraph.node(v)); }); @@ -223,12 +223,12 @@ function assignBucket(buckets, zeroIdx, entry) { function run(g) { var fas = g.graph().acyclicer === 'greedy' ? greedyFAS(g, weightFn(g)) : dfsFAS(g); - forEach/* default */.Z(fas, function (e) { + forEach/* default */.c(fas, function (e) { var label = g.edge(e); g.removeEdge(e); label.forwardName = e.name; label.reversed = true; - g.setEdge(e.w, e.v, label, uniqueId/* default */.Z('rev')); + g.setEdge(e.w, e.v, label, uniqueId/* default */.c('rev')); }); function weightFn(g) { @@ -244,13 +244,13 @@ function dfsFAS(g) { var visited = {}; function dfs(v) { - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return; } visited[v] = true; stack[v] = true; - forEach/* default */.Z(g.outEdges(v), function (e) { - if (has/* default */.Z(stack, e.w)) { + forEach/* default */.c(g.outEdges(v), function (e) { + if (has/* default */.c(stack, e.w)) { fas.push(e); } else { dfs(e.w); @@ -259,12 +259,12 @@ function dfsFAS(g) { delete stack[v]; } - forEach/* default */.Z(g.nodes(), dfs); + forEach/* default */.c(g.nodes(), dfs); return fas; } function undo(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var label = g.edge(e); if (label.reversed) { g.removeEdge(e); @@ -278,13 +278,13 @@ function undo(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/merge.js + 6 modules -var merge = __webpack_require__(59236); +var merge = __webpack_require__(89064); // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseExtremum.js @@ -307,7 +307,7 @@ function baseExtremum(array, iteratee, comparator) { current = iteratee(value); if (current != null && (computed === undefined - ? (current === current && !(0,isSymbol/* default */.Z)(current)) + ? (current === current && !(0,isSymbol/* default */.c)(current)) : comparator(current, computed) )) { var computed = current, @@ -336,7 +336,7 @@ function baseGt(value, other) { /* harmony default export */ const _baseGt = (baseGt); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/max.js @@ -362,7 +362,7 @@ var identity = __webpack_require__(69203); */ function max(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseGt) + ? _baseExtremum(array, identity/* default */.c, _baseGt) : undefined; } @@ -391,11 +391,11 @@ function last(array) { /* harmony default export */ const lodash_es_last = (last); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseAssignValue.js -var _baseAssignValue = __webpack_require__(74752); +var _baseAssignValue = __webpack_require__(78848); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/mapValues.js @@ -431,10 +431,10 @@ var _baseIteratee = __webpack_require__(74765); */ function mapValues(object, iteratee) { var result = {}; - iteratee = (0,_baseIteratee/* default */.Z)(iteratee, 3); + iteratee = (0,_baseIteratee/* default */.c)(iteratee, 3); - (0,_baseForOwn/* default */.Z)(object, function(value, key, object) { - (0,_baseAssignValue/* default */.Z)(result, key, iteratee(value, key, object)); + (0,_baseForOwn/* default */.c)(object, function(value, key, object) { + (0,_baseAssignValue/* default */.c)(result, key, iteratee(value, key, object)); }); return result; } @@ -442,7 +442,7 @@ function mapValues(object, iteratee) { /* harmony default export */ const lodash_es_mapValues = (mapValues); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseLt.js /** * The base implementation of `_.lt` which doesn't coerce arguments. @@ -484,14 +484,14 @@ function baseLt(value, other) { */ function min(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseLt) + ? _baseExtremum(array, identity/* default */.c, _baseLt) : undefined; } /* harmony default export */ const lodash_es_min = (min); // EXTERNAL MODULE: ./node_modules/lodash-es/_root.js -var _root = __webpack_require__(66092); +var _root = __webpack_require__(43936); ;// CONCATENATED MODULE: ./node_modules/lodash-es/now.js @@ -512,7 +512,7 @@ var _root = __webpack_require__(66092); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { - return _root/* default */.Z.Date.now(); + return _root/* default */.c.Date.now(); }; /* harmony default export */ const lodash_es_now = (now); @@ -529,7 +529,7 @@ var now = function() { function addDummyNode(g, type, attrs, name) { var v; do { - v = uniqueId/* default */.Z(name); + v = uniqueId/* default */.c(name); } while (g.hasNode(v)); attrs.dummy = type; @@ -542,11 +542,11 @@ function addDummyNode(g, type, attrs, name) { * associated with multi-edges. */ function simplify(g) { - var simplified = new graphlib/* Graph */.k().setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M().setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { simplified.setNode(v, g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var simpleLabel = simplified.edge(e.v, e.w) || { weight: 0, minlen: 1 }; var label = g.edge(e); simplified.setEdge(e.v, e.w, { @@ -558,13 +558,13 @@ function simplify(g) { } function asNonCompoundGraph(g) { - var simplified = new graphlib/* Graph */.k({ multigraph: g.isMultigraph() }).setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M({ multigraph: g.isMultigraph() }).setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { if (!g.children(v).length) { simplified.setNode(v, g.node(v)); } }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { simplified.setEdge(e, g.edge(e)); }); return simplified; @@ -636,13 +636,13 @@ function intersectRect(rect, point) { * function will produce a matrix with the ids of each node. */ function buildLayerMatrix(g) { - var layering = map/* default */.Z(range/* default */.Z(util_maxRank(g) + 1), function () { + var layering = map/* default */.c(range/* default */.c(util_maxRank(g) + 1), function () { return []; }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); var rank = node.rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { layering[rank][node.order] = v; } }); @@ -655,13 +655,13 @@ function buildLayerMatrix(g) { */ function normalizeRanks(g) { var min = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); - if (has/* default */.Z(node, 'rank')) { + if (has/* default */.c(node, 'rank')) { node.rank -= min; } }); @@ -670,13 +670,13 @@ function normalizeRanks(g) { function removeEmptyRanks(g) { // Ranks may not start at 0, so we need to offset them var offset = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); var layers = []; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank - offset; if (!layers[rank]) { layers[rank] = []; @@ -686,11 +686,11 @@ function removeEmptyRanks(g) { var delta = 0; var nodeRankFactor = g.graph().nodeRankFactor; - forEach/* default */.Z(layers, function (vs, i) { - if (isUndefined/* default */.Z(vs) && i % nodeRankFactor !== 0) { + forEach/* default */.c(layers, function (vs, i) { + if (isUndefined/* default */.c(vs) && i % nodeRankFactor !== 0) { --delta; } else if (delta) { - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { g.node(v).rank += delta; }); } @@ -711,9 +711,9 @@ function addBorderNode(g, prefix, rank, order) { function util_maxRank(g) { return lodash_es_max( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { return rank; } }) @@ -727,7 +727,7 @@ function util_maxRank(g) { */ function partition(collection, fn) { var result = { lhs: [], rhs: [] }; - forEach/* default */.Z(collection, function (value) { + forEach/* default */.c(collection, function (value) { if (fn(value)) { result.lhs.push(value); } else { @@ -765,10 +765,10 @@ function addBorderSegments(g) { var children = g.children(v); var node = g.node(v); if (children.length) { - forEach/* default */.Z(children, dfs); + forEach/* default */.c(children, dfs); } - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { node.borderLeft = []; node.borderRight = []; for (var rank = node.minRank, maxRank = node.maxRank + 1; rank < maxRank; ++rank) { @@ -778,7 +778,7 @@ function addBorderSegments(g) { } } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); } function add_border_segments_addBorderNode(g, prop, prefix, sg, sgNode, rank) { @@ -817,10 +817,10 @@ function coordinate_system_undo(g) { } function swapWidthHeight(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapWidthHeightOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { swapWidthHeightOne(g.edge(e)); }); } @@ -832,14 +832,14 @@ function swapWidthHeightOne(attrs) { } function reverseY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { reverseYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, reverseYOne); - if (has/* default */.Z(edge, 'y')) { + forEach/* default */.c(edge.points, reverseYOne); + if (has/* default */.c(edge, 'y')) { reverseYOne(edge); } }); @@ -850,14 +850,14 @@ function reverseYOne(attrs) { } function swapXY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapXYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, swapXYOne); - if (has/* default */.Z(edge, 'x')) { + forEach/* default */.c(edge.points, swapXYOne); + if (has/* default */.c(edge, 'x')) { swapXYOne(edge); } }); @@ -893,7 +893,7 @@ function swapXYOne(attrs) { */ function normalize_run(g) { g.graph().dummyChains = []; - forEach/* default */.Z(g.edges(), function (edge) { + forEach/* default */.c(g.edges(), function (edge) { normalizeEdge(g, edge); }); } @@ -941,7 +941,7 @@ function normalizeEdge(g, e) { } function normalize_undo(g) { - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var origLabel = node.edgeLabel; var w; @@ -992,7 +992,7 @@ function normalize_undo(g) { */ function minBy(array, iteratee) { return (array && array.length) - ? _baseExtremum(array, (0,_baseIteratee/* default */.Z)(iteratee, 2), _baseLt) + ? _baseExtremum(array, (0,_baseIteratee/* default */.c)(iteratee, 2), _baseLt) : undefined; } @@ -1029,13 +1029,13 @@ function longestPath(g) { function dfs(v) { var label = g.node(v); - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return label.rank; } visited[v] = true; var rank = lodash_es_min( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return dfs(e.w) - g.edge(e).minlen; }) ); @@ -1052,7 +1052,7 @@ function longestPath(g) { return (label.rank = rank); } - forEach/* default */.Z(g.sources(), dfs); + forEach/* default */.c(g.sources(), dfs); } /* @@ -1096,7 +1096,7 @@ function slack(g, e) { * edges. */ function feasibleTree(g) { - var t = new graphlib/* Graph */.k({ directed: false }); + var t = new graphlib/* Graph */.M({ directed: false }); // Choose arbitrary node from which to start our tree var start = g.nodes()[0]; @@ -1119,7 +1119,7 @@ function feasibleTree(g) { */ function tightTree(t, g) { function dfs(v) { - forEach/* default */.Z(g.nodeEdges(v), function (e) { + forEach/* default */.c(g.nodeEdges(v), function (e) { var edgeV = e.v, w = v === edgeV ? e.w : edgeV; if (!t.hasNode(w) && !slack(g, e)) { @@ -1130,7 +1130,7 @@ function tightTree(t, g) { }); } - forEach/* default */.Z(t.nodes(), dfs); + forEach/* default */.c(t.nodes(), dfs); return t.nodeCount(); } @@ -1147,15 +1147,15 @@ function findMinSlackEdge(t, g) { } function shiftRanks(t, g, delta) { - forEach/* default */.Z(t.nodes(), function (v) { + forEach/* default */.c(t.nodes(), function (v) { g.node(v).rank += delta; }); } // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createFind.js @@ -1171,9 +1171,9 @@ var keys = __webpack_require__(17179); function createFind(findIndexFunc) { return function(collection, predicate, fromIndex) { var iterable = Object(collection); - if (!(0,isArrayLike/* default */.Z)(collection)) { - var iteratee = (0,_baseIteratee/* default */.Z)(predicate, 3); - collection = (0,keys/* default */.Z)(collection); + if (!(0,isArrayLike/* default */.c)(collection)) { + var iteratee = (0,_baseIteratee/* default */.c)(predicate, 3); + collection = (0,keys/* default */.c)(collection); predicate = function(key) { return iteratee(iterable[key], key, iterable); }; } var index = findIndexFunc(collection, predicate, fromIndex); @@ -1184,9 +1184,9 @@ function createFind(findIndexFunc) { /* harmony default export */ const _createFind = (createFind); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toInteger.js @@ -1217,7 +1217,7 @@ var toFinite = __webpack_require__(94099); * // => 3 */ function toInteger(value) { - var result = (0,toFinite/* default */.Z)(value), + var result = (0,toFinite/* default */.c)(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; @@ -1277,7 +1277,7 @@ function findIndex(array, predicate, fromIndex) { if (index < 0) { index = nativeMax(length + index, 0); } - return (0,_baseFindIndex/* default */.Z)(array, (0,_baseIteratee/* default */.Z)(predicate, 3), index); + return (0,_baseFindIndex/* default */.c)(array, (0,_baseIteratee/* default */.c)(predicate, 3), index); } /* harmony default export */ const lodash_es_findIndex = (findIndex); @@ -1327,14 +1327,14 @@ var find = _createFind(lodash_es_findIndex); /* harmony default export */ const lodash_es_find = (find); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/dijkstra.js -var DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function dijkstra_dijkstra(g, source, weightFn, edgeFn) { return runDijkstra( @@ -1416,7 +1416,7 @@ function dijkstraAll(g, weightFunc, edgeFunc) { -var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function floydWarshall(g, weightFn, edgeFn) { return runFloydWarshall( @@ -1469,15 +1469,15 @@ function runFloydWarshall(g, weightFn, edgeFn) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseKeys.js + 1 modules -var _baseKeys = __webpack_require__(39473); +var _baseKeys = __webpack_require__(61376); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetTag.js + 2 modules -var _baseGetTag = __webpack_require__(93589); +var _baseGetTag = __webpack_require__(67724); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isString.js @@ -1505,13 +1505,13 @@ var stringTag = '[object String]'; */ function isString(value) { return typeof value == 'string' || - (!(0,isArray/* default */.Z)(value) && (0,isObjectLike/* default */.Z)(value) && (0,_baseGetTag/* default */.Z)(value) == stringTag); + (!(0,isArray/* default */.c)(value) && (0,isObjectLike/* default */.c)(value) && (0,_baseGetTag/* default */.c)(value) == stringTag); } /* harmony default export */ const lodash_es_isString = (isString); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_asciiSize.js @@ -1522,7 +1522,7 @@ var _baseProperty = __webpack_require__(54193); * @param {string} string The string inspect. * @returns {number} Returns the string size. */ -var asciiSize = (0,_baseProperty/* default */.Z)('length'); +var asciiSize = (0,_baseProperty/* default */.c)('length'); /* harmony default export */ const _asciiSize = (asciiSize); @@ -1656,14 +1656,14 @@ function size(collection) { if (collection == null) { return 0; } - if ((0,isArrayLike/* default */.Z)(collection)) { + if ((0,isArrayLike/* default */.c)(collection)) { return lodash_es_isString(collection) ? _stringSize(collection) : collection.length; } - var tag = (0,_getTag/* default */.Z)(collection); + var tag = (0,_getTag/* default */.c)(collection); if (tag == mapTag || tag == setTag) { return collection.size; } - return (0,_baseKeys/* default */.Z)(collection).length; + return (0,_baseKeys/* default */.c)(collection).length; } /* harmony default export */ const lodash_es_size = (size); @@ -1681,20 +1681,20 @@ function topsort_topsort(g) { var results = []; function visit(node) { - if (has/* default */.Z(stack, node)) { + if (has/* default */.c(stack, node)) { throw new topsort_CycleException(); } - if (!has/* default */.Z(visited, node)) { + if (!has/* default */.c(visited, node)) { stack[node] = true; visited[node] = true; - forEach/* default */.Z(g.predecessors(node), visit); + forEach/* default */.c(g.predecessors(node), visit); delete stack[node]; results.push(node); } } - forEach/* default */.Z(g.sinks(), visit); + forEach/* default */.c(g.sinks(), visit); if (lodash_es_size(visited) !== g.nodeCount()) { throw new topsort_CycleException(); @@ -1737,7 +1737,7 @@ function isAcyclic(g) { * Order must be one of "pre" or "post". */ function dfs(g, vs, order) { - if (!isArray/* default */.Z(vs)) { + if (!isArray/* default */.c(vs)) { vs = [vs]; } @@ -1745,7 +1745,7 @@ function dfs(g, vs, order) { var acc = []; var visited = {}; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (!g.hasNode(v)) { throw new Error('Graph does not have node: ' + v); } @@ -1756,13 +1756,13 @@ function dfs(g, vs, order) { } function doDfs(g, v, postorder, visited, navigation, acc) { - if (!has/* default */.Z(visited, v)) { + if (!has/* default */.c(visited, v)) { visited[v] = true; if (!postorder) { acc.push(v); } - forEach/* default */.Z(navigation(v), function (w) { + forEach/* default */.c(navigation(v), function (w) { doDfs(g, w, postorder, visited, navigation, acc); }); if (postorder) { @@ -1790,7 +1790,7 @@ function preorder(g, vs) { } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); +var graph = __webpack_require__(58048); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/prim.js @@ -1930,7 +1930,7 @@ function networkSimplex(g) { function initCutValues(t, g) { var vs = postorder(t, t.nodes()); vs = vs.slice(0, vs.length - 1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { assignCutValue(t, g, v); }); } @@ -1962,7 +1962,7 @@ function calcCutValue(t, g, child) { cutValue = graphEdge.weight; - forEach/* default */.Z(g.nodeEdges(child), function (e) { + forEach/* default */.c(g.nodeEdges(child), function (e) { var isOutEdge = e.v === child, other = isOutEdge ? e.w : e.v; @@ -1993,8 +1993,8 @@ function dfsAssignLowLim(tree, visited, nextLim, v, parent) { var label = tree.node(v); visited[v] = true; - forEach/* default */.Z(tree.neighbors(v), function (w) { - if (!has/* default */.Z(visited, w)) { + forEach/* default */.c(tree.neighbors(v), function (w) { + if (!has/* default */.c(visited, w)) { nextLim = dfsAssignLowLim(tree, visited, nextLim, w, v); } }); @@ -2041,7 +2041,7 @@ function enterEdge(t, g, edge) { flip = true; } - var candidates = filter/* default */.Z(g.edges(), function (edge) { + var candidates = filter/* default */.c(g.edges(), function (edge) { return ( flip === isDescendant(t, t.node(edge.v), tailLabel) && flip !== isDescendant(t, t.node(edge.w), tailLabel) @@ -2069,7 +2069,7 @@ function updateRanks(t, g) { }); var vs = preorder(t, root); vs = vs.slice(1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var parent = t.node(v).parent, edge = g.edge(v, parent), flipped = false; @@ -2153,9 +2153,9 @@ function networkSimplexRanker(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/nesting-graph.js @@ -2188,13 +2188,13 @@ var reduce = __webpack_require__(92344); function nesting_graph_run(g) { var root = addDummyNode(g, 'root', {}, '_root'); var depths = treeDepths(g); - var height = lodash_es_max(values/* default */.Z(depths)) - 1; // Note: depths is an Object not an array + var height = lodash_es_max(values/* default */.c(depths)) - 1; // Note: depths is an Object not an array var nodeSep = 2 * height + 1; g.graph().nestingRoot = root; // Multiply minlen by nodeSep to align nodes on non-border ranks. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { g.edge(e).minlen *= nodeSep; }); @@ -2202,7 +2202,7 @@ function nesting_graph_run(g) { var weight = sumWeights(g) + 1; // Create border nodes and link them up - forEach/* default */.Z(g.children(), function (child) { + forEach/* default */.c(g.children(), function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); }); @@ -2229,7 +2229,7 @@ function nesting_graph_dfs(g, root, nodeSep, weight, height, depths, v) { g.setParent(bottom, v); label.borderBottom = bottom; - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); var childNode = g.node(child); @@ -2261,20 +2261,20 @@ function treeDepths(g) { function dfs(v, depth) { var children = g.children(v); if (children && children.length) { - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { dfs(child, depth + 1); }); } depths[v] = depth; } - forEach/* default */.Z(g.children(), function (v) { + forEach/* default */.c(g.children(), function (v) { dfs(v, 1); }); return depths; } function sumWeights(g) { - return reduce/* default */.Z( + return reduce/* default */.c( g.edges(), function (acc, e) { return acc + g.edge(e).weight; @@ -2287,7 +2287,7 @@ function cleanup(g) { var graphLabel = g.graph(); g.removeNode(graphLabel.nestingRoot); delete graphLabel.nestingRoot; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.nestingEdge) { g.removeEdge(e); @@ -2296,7 +2296,7 @@ function cleanup(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); +var _baseClone = __webpack_require__(48492); ;// CONCATENATED MODULE: ./node_modules/lodash-es/cloneDeep.js @@ -2323,7 +2323,7 @@ var CLONE_DEEP_FLAG = 1, * // => false */ function cloneDeep(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); + return (0,_baseClone/* default */.c)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); } /* harmony default export */ const lodash_es_cloneDeep = (cloneDeep); @@ -2337,7 +2337,7 @@ function addSubgraphConstraints(g, cg, vs) { var prev = {}, rootPrev; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var child = g.parent(v), parent, prevChild; @@ -2421,13 +2421,13 @@ function addSubgraphConstraints(g, cg, vs) { */ function buildLayerGraph(g, rank, relationship) { var root = createRootNode(g), - result = new graphlib/* Graph */.k({ compound: true }) + result = new graphlib/* Graph */.M({ compound: true }) .setGraph({ root: root }) .setDefaultNodeLabel(function (v) { return g.node(v); }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v), parent = g.parent(v); @@ -2436,14 +2436,14 @@ function buildLayerGraph(g, rank, relationship) { result.setParent(v, parent || root); // This assumes we have only short edges! - forEach/* default */.Z(g[relationship](v), function (e) { + forEach/* default */.c(g[relationship](v), function (e) { var u = e.v === v ? e.w : e.v, edge = result.edge(u, v), - weight = !isUndefined/* default */.Z(edge) ? edge.weight : 0; + weight = !isUndefined/* default */.c(edge) ? edge.weight : 0; result.setEdge(u, v, { weight: g.edge(e).weight + weight }); }); - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { result.setNode(v, { borderLeft: node.borderLeft[rank], borderRight: node.borderRight[rank], @@ -2457,12 +2457,12 @@ function buildLayerGraph(g, rank, relationship) { function createRootNode(g) { var v; - while (g.hasNode((v = uniqueId/* default */.Z('_root')))); + while (g.hasNode((v = uniqueId/* default */.c('_root')))); return v; } // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseZipObject.js /** * This base implementation of `_.zipObject` which assigns values using `assignFunc`. @@ -2509,19 +2509,19 @@ function baseZipObject(props, values, assignFunc) { * // => { 'a': 1, 'b': 2 } */ function zipObject(props, values) { - return _baseZipObject(props || [], values || [], _assignValue/* default */.Z); + return _baseZipObject(props || [], values || [], _assignValue/* default */.c); } /* harmony default export */ const lodash_es_zipObject = (zipObject); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseMap.js -var _baseMap = __webpack_require__(21018); +var _baseMap = __webpack_require__(90360); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSortBy.js /** * The base implementation of `_.sortBy` which uses `comparer` to define the @@ -2546,7 +2546,7 @@ function baseSortBy(array, comparer) { /* harmony default export */ const _baseSortBy = (baseSortBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_compareAscending.js @@ -2563,12 +2563,12 @@ function compareAscending(value, other) { var valIsDefined = value !== undefined, valIsNull = value === null, valIsReflexive = value === value, - valIsSymbol = (0,isSymbol/* default */.Z)(value); + valIsSymbol = (0,isSymbol/* default */.c)(value); var othIsDefined = other !== undefined, othIsNull = other === null, othIsReflexive = other === other, - othIsSymbol = (0,isSymbol/* default */.Z)(other); + othIsSymbol = (0,isSymbol/* default */.c)(other); if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) || (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) || @@ -2658,23 +2658,23 @@ function compareMultiple(object, other, orders) { */ function baseOrderBy(collection, iteratees, orders) { if (iteratees.length) { - iteratees = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { - if ((0,isArray/* default */.Z)(iteratee)) { + iteratees = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { + if ((0,isArray/* default */.c)(iteratee)) { return function(value) { - return (0,_baseGet/* default */.Z)(value, iteratee.length === 1 ? iteratee[0] : iteratee); + return (0,_baseGet/* default */.c)(value, iteratee.length === 1 ? iteratee[0] : iteratee); } } return iteratee; }); } else { - iteratees = [identity/* default */.Z]; + iteratees = [identity/* default */.c]; } var index = -1; - iteratees = (0,_arrayMap/* default */.Z)(iteratees, (0,_baseUnary/* default */.Z)(_baseIteratee/* default */.Z)); + iteratees = (0,_arrayMap/* default */.c)(iteratees, (0,_baseUnary/* default */.c)(_baseIteratee/* default */.c)); - var result = (0,_baseMap/* default */.Z)(collection, function(value, key, collection) { - var criteria = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { + var result = (0,_baseMap/* default */.c)(collection, function(value, key, collection) { + var criteria = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { return iteratee(value); }); return { 'criteria': criteria, 'index': ++index, 'value': value }; @@ -2688,9 +2688,9 @@ function baseOrderBy(collection, iteratees, orders) { /* harmony default export */ const _baseOrderBy = (baseOrderBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/sortBy.js @@ -2726,17 +2726,17 @@ var _isIterateeCall = __webpack_require__(50439); * _.sortBy(users, ['user', 'age']); * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]] */ -var sortBy = (0,_baseRest/* default */.Z)(function(collection, iteratees) { +var sortBy = (0,_baseRest/* default */.c)(function(collection, iteratees) { if (collection == null) { return []; } var length = iteratees.length; - if (length > 1 && (0,_isIterateeCall/* default */.Z)(collection, iteratees[0], iteratees[1])) { + if (length > 1 && (0,_isIterateeCall/* default */.c)(collection, iteratees[0], iteratees[1])) { iteratees = []; - } else if (length > 2 && (0,_isIterateeCall/* default */.Z)(iteratees[0], iteratees[1], iteratees[2])) { + } else if (length > 2 && (0,_isIterateeCall/* default */.c)(iteratees[0], iteratees[1], iteratees[2])) { iteratees = [iteratees[0]]; } - return _baseOrderBy(collection, (0,_baseFlatten/* default */.Z)(iteratees, 1), []); + return _baseOrderBy(collection, (0,_baseFlatten/* default */.c)(iteratees, 1), []); }); /* harmony default export */ const lodash_es_sortBy = (sortBy); @@ -2776,14 +2776,14 @@ function twoLayerCrossCount(g, northLayer, southLayer) { // their head in the south layer. var southPos = lodash_es_zipObject( southLayer, - map/* default */.Z(southLayer, function (v, i) { + map/* default */.c(southLayer, function (v, i) { return i; }) ); - var southEntries = flatten/* default */.Z( - map/* default */.Z(northLayer, function (v) { + var southEntries = flatten/* default */.c( + map/* default */.c(northLayer, function (v) { return lodash_es_sortBy( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return { pos: southPos[e.w], weight: g.edge(e).weight }; }), 'pos' @@ -2796,13 +2796,13 @@ function twoLayerCrossCount(g, northLayer, southLayer) { while (firstIndex < southLayer.length) firstIndex <<= 1; var treeSize = 2 * firstIndex - 1; firstIndex -= 1; - var tree = map/* default */.Z(new Array(treeSize), function () { + var tree = map/* default */.c(new Array(treeSize), function () { return 0; }); // Calculate the weighted crossings var cc = 0; - forEach/* default */.Z( + forEach/* default */.c( // @ts-expect-error southEntries.forEach(function (entry) { var index = entry.pos + firstIndex; @@ -2843,30 +2843,30 @@ function twoLayerCrossCount(g, northLayer, southLayer) { */ function initOrder(g) { var visited = {}; - var simpleNodes = filter/* default */.Z(g.nodes(), function (v) { + var simpleNodes = filter/* default */.c(g.nodes(), function (v) { return !g.children(v).length; }); var maxRank = lodash_es_max( - map/* default */.Z(simpleNodes, function (v) { + map/* default */.c(simpleNodes, function (v) { return g.node(v).rank; }) ); - var layers = map/* default */.Z(range/* default */.Z(maxRank + 1), function () { + var layers = map/* default */.c(range/* default */.c(maxRank + 1), function () { return []; }); function dfs(v) { - if (has/* default */.Z(visited, v)) return; + if (has/* default */.c(visited, v)) return; visited[v] = true; var node = g.node(v); layers[node.rank].push(v); - forEach/* default */.Z(g.successors(v), dfs); + forEach/* default */.c(g.successors(v), dfs); } var orderedVs = lodash_es_sortBy(simpleNodes, function (v) { return g.node(v).rank; }); - forEach/* default */.Z(orderedVs, dfs); + forEach/* default */.c(orderedVs, dfs); return layers; } @@ -2877,12 +2877,12 @@ function initOrder(g) { function barycenter(g, movable) { - return map/* default */.Z(movable, function (v) { + return map/* default */.c(movable, function (v) { var inV = g.inEdges(v); if (!inV.length) { return { v: v }; } else { - var result = reduce/* default */.Z( + var result = reduce/* default */.c( inV, function (acc, e) { var edge = g.edge(e), @@ -2936,7 +2936,7 @@ function barycenter(g, movable) { */ function resolveConflicts(entries, cg) { var mappedEntries = {}; - forEach/* default */.Z(entries, function (entry, i) { + forEach/* default */.c(entries, function (entry, i) { var tmp = (mappedEntries[entry.v] = { indegree: 0, in: [], @@ -2944,7 +2944,7 @@ function resolveConflicts(entries, cg) { vs: [entry.v], i: i, }); - if (!isUndefined/* default */.Z(entry.barycenter)) { + if (!isUndefined/* default */.c(entry.barycenter)) { // @ts-expect-error tmp.barycenter = entry.barycenter; // @ts-expect-error @@ -2952,16 +2952,16 @@ function resolveConflicts(entries, cg) { } }); - forEach/* default */.Z(cg.edges(), function (e) { + forEach/* default */.c(cg.edges(), function (e) { var entryV = mappedEntries[e.v]; var entryW = mappedEntries[e.w]; - if (!isUndefined/* default */.Z(entryV) && !isUndefined/* default */.Z(entryW)) { + if (!isUndefined/* default */.c(entryV) && !isUndefined/* default */.c(entryW)) { entryW.indegree++; entryV.out.push(mappedEntries[e.w]); } }); - var sourceSet = filter/* default */.Z(mappedEntries, function (entry) { + var sourceSet = filter/* default */.c(mappedEntries, function (entry) { // @ts-expect-error return !entry.indegree; }); @@ -2978,8 +2978,8 @@ function doResolveConflicts(sourceSet) { return; } if ( - isUndefined/* default */.Z(uEntry.barycenter) || - isUndefined/* default */.Z(vEntry.barycenter) || + isUndefined/* default */.c(uEntry.barycenter) || + isUndefined/* default */.c(vEntry.barycenter) || uEntry.barycenter >= vEntry.barycenter ) { mergeEntries(vEntry, uEntry); @@ -2999,16 +2999,16 @@ function doResolveConflicts(sourceSet) { while (sourceSet.length) { var entry = sourceSet.pop(); entries.push(entry); - forEach/* default */.Z(entry['in'].reverse(), handleIn(entry)); - forEach/* default */.Z(entry.out, handleOut(entry)); + forEach/* default */.c(entry['in'].reverse(), handleIn(entry)); + forEach/* default */.c(entry.out, handleOut(entry)); } - return map/* default */.Z( - filter/* default */.Z(entries, function (entry) { + return map/* default */.c( + filter/* default */.c(entries, function (entry) { return !entry.merged; }), function (entry) { - return pick/* default */.Z(entry, ['vs', 'i', 'barycenter', 'weight']); + return pick/* default */.c(entry, ['vs', 'i', 'barycenter', 'weight']); } ); } @@ -3042,7 +3042,7 @@ function mergeEntries(target, source) { function sort(entries, biasRight) { var parts = partition(entries, function (entry) { - return has/* default */.Z(entry, 'barycenter'); + return has/* default */.c(entry, 'barycenter'); }); var sortable = parts.lhs, unsortable = lodash_es_sortBy(parts.rhs, function (entry) { @@ -3057,7 +3057,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); - forEach/* default */.Z(sortable, function (entry) { + forEach/* default */.c(sortable, function (entry) { vsIndex += entry.vs.length; vs.push(entry.vs); sum += entry.barycenter * entry.weight; @@ -3065,7 +3065,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); }); - var result = { vs: flatten/* default */.Z(vs) }; + var result = { vs: flatten/* default */.c(vs) }; if (weight) { result.barycenter = sum / weight; result.weight = weight; @@ -3111,17 +3111,17 @@ function sortSubgraph(g, v, cg, biasRight) { var subgraphs = {}; if (bl) { - movable = filter/* default */.Z(movable, function (w) { + movable = filter/* default */.c(movable, function (w) { return w !== bl && w !== br; }); } var barycenters = barycenter(g, movable); - forEach/* default */.Z(barycenters, function (entry) { + forEach/* default */.c(barycenters, function (entry) { if (g.children(entry.v).length) { var subgraphResult = sortSubgraph(g, entry.v, cg, biasRight); subgraphs[entry.v] = subgraphResult; - if (has/* default */.Z(subgraphResult, 'barycenter')) { + if (has/* default */.c(subgraphResult, 'barycenter')) { mergeBarycenters(entry, subgraphResult); } } @@ -3133,11 +3133,11 @@ function sortSubgraph(g, v, cg, biasRight) { var result = sort(entries, biasRight); if (bl) { - result.vs = flatten/* default */.Z([bl, result.vs, br]); + result.vs = flatten/* default */.c([bl, result.vs, br]); if (g.predecessors(bl).length) { var blPred = g.node(g.predecessors(bl)[0]), brPred = g.node(g.predecessors(br)[0]); - if (!has/* default */.Z(result, 'barycenter')) { + if (!has/* default */.c(result, 'barycenter')) { result.barycenter = 0; result.weight = 0; } @@ -3151,8 +3151,8 @@ function sortSubgraph(g, v, cg, biasRight) { } function expandSubgraphs(entries, subgraphs) { - forEach/* default */.Z(entries, function (entry) { - entry.vs = flatten/* default */.Z( + forEach/* default */.c(entries, function (entry) { + entry.vs = flatten/* default */.c( entry.vs.map(function (v) { if (subgraphs[v]) { return subgraphs[v].vs; @@ -3164,7 +3164,7 @@ function expandSubgraphs(entries, subgraphs) { } function mergeBarycenters(target, other) { - if (!isUndefined/* default */.Z(target.barycenter)) { + if (!isUndefined/* default */.c(target.barycenter)) { target.barycenter = (target.barycenter * target.weight + other.barycenter * other.weight) / (target.weight + other.weight); @@ -3204,8 +3204,8 @@ function mergeBarycenters(target, other) { */ function order(g) { var maxRank = util_maxRank(g), - downLayerGraphs = buildLayerGraphs(g, range/* default */.Z(1, maxRank + 1), 'inEdges'), - upLayerGraphs = buildLayerGraphs(g, range/* default */.Z(maxRank - 1, -1, -1), 'outEdges'); + downLayerGraphs = buildLayerGraphs(g, range/* default */.c(1, maxRank + 1), 'inEdges'), + upLayerGraphs = buildLayerGraphs(g, range/* default */.c(maxRank - 1, -1, -1), 'outEdges'); var layering = initOrder(g); assignOrder(g, layering); @@ -3229,17 +3229,17 @@ function order(g) { } function buildLayerGraphs(g, ranks, relationship) { - return map/* default */.Z(ranks, function (rank) { + return map/* default */.c(ranks, function (rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { - var cg = new graphlib/* Graph */.k(); - forEach/* default */.Z(layerGraphs, function (lg) { + var cg = new graphlib/* Graph */.M(); + forEach/* default */.c(layerGraphs, function (lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); - forEach/* default */.Z(sorted.vs, function (v, i) { + forEach/* default */.c(sorted.vs, function (v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); @@ -3247,8 +3247,8 @@ function sweepLayerGraphs(layerGraphs, biasRight) { } function assignOrder(g, layering) { - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, i) { g.node(v).order = i; }); }); @@ -3262,7 +3262,7 @@ function assignOrder(g, layering) { function parentDummyChains(g) { var postorderNums = parent_dummy_chains_postorder(g); - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var edgeObj = node.edgeObj; var pathData = findPath(g, postorderNums, edgeObj.v, edgeObj.w); @@ -3334,16 +3334,16 @@ function parent_dummy_chains_postorder(g) { function dfs(v) { var low = lim; - forEach/* default */.Z(g.children(v), dfs); + forEach/* default */.c(g.children(v), dfs); result[v] = { low: low, lim: lim++ }; } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); return result; } // EXTERNAL MODULE: ./node_modules/lodash-es/_castFunction.js -var _castFunction = __webpack_require__(68882); +var _castFunction = __webpack_require__(12176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forOwn.js @@ -3377,15 +3377,15 @@ var _castFunction = __webpack_require__(68882); * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forOwn(object, iteratee) { - return object && (0,_baseForOwn/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee)); + return object && (0,_baseForOwn/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee)); } /* harmony default export */ const lodash_es_forOwn = (forOwn); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFor.js + 1 modules -var _baseFor = __webpack_require__(61395); +var _baseFor = __webpack_require__(19004); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forIn.js @@ -3422,7 +3422,7 @@ var keysIn = __webpack_require__(32957); function forIn(object, iteratee) { return object == null ? object - : (0,_baseFor/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee), keysIn/* default */.Z); + : (0,_baseFor/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee), keysIn/* default */.c); } /* harmony default export */ const lodash_es_forIn = (forIn); @@ -3469,13 +3469,13 @@ function findType1Conflicts(g, layering) { prevLayerLength = prevLayer.length, lastNode = lodash_es_last(layer); - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var w = findOtherInnerSegmentNode(g, v), k1 = w ? g.node(w).order : prevLayerLength; if (w || v === lastNode) { - forEach/* default */.Z(layer.slice(scanPos, i + 1), function (scanNode) { - forEach/* default */.Z(g.predecessors(scanNode), function (u) { + forEach/* default */.c(layer.slice(scanPos, i + 1), function (scanNode) { + forEach/* default */.c(g.predecessors(scanNode), function (u) { var uLabel = g.node(u), uPos = uLabel.order; if ((uPos < k0 || k1 < uPos) && !(uLabel.dummy && g.node(scanNode).dummy)) { @@ -3492,7 +3492,7 @@ function findType1Conflicts(g, layering) { return layer; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3501,10 +3501,10 @@ function findType2Conflicts(g, layering) { function scan(south, southPos, southEnd, prevNorthBorder, nextNorthBorder) { var v; - forEach/* default */.Z(range/* default */.Z(southPos, southEnd), function (i) { + forEach/* default */.c(range/* default */.c(southPos, southEnd), function (i) { v = south[i]; if (g.node(v).dummy) { - forEach/* default */.Z(g.predecessors(v), function (u) { + forEach/* default */.c(g.predecessors(v), function (u) { var uNode = g.node(u); if (uNode.dummy && (uNode.order < prevNorthBorder || uNode.order > nextNorthBorder)) { addConflict(conflicts, u, v); @@ -3519,7 +3519,7 @@ function findType2Conflicts(g, layering) { nextNorthPos, southPos = 0; - forEach/* default */.Z(south, function (v, southLookahead) { + forEach/* default */.c(south, function (v, southLookahead) { if (g.node(v).dummy === 'border') { var predecessors = g.predecessors(v); if (predecessors.length) { @@ -3536,7 +3536,7 @@ function findType2Conflicts(g, layering) { return south; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3568,7 +3568,7 @@ function hasConflict(conflicts, v, w) { v = w; w = tmp; } - return has/* default */.Z(conflicts[v], w); + return has/* default */.c(conflicts[v], w); } /* @@ -3587,17 +3587,17 @@ function verticalAlignment(g, layering, conflicts, neighborFn) { // We cache the position here based on the layering because the graph and // layering may be out of sync. The layering matrix is manipulated to // generate different extreme alignments. - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, order) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, order) { root[v] = v; align[v] = v; pos[v] = order; }); }); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var prevIdx = -1; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var ws = neighborFn(v); if (ws.length) { ws = lodash_es_sortBy(ws, function (w) { @@ -3669,7 +3669,7 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { iterate(pass2, blockG.successors.bind(blockG)); // Assign x coordinates to all nodes - forEach/* default */.Z(align, function (v) { + forEach/* default */.c(align, function (v) { xs[v] = xs[root[v]]; }); @@ -3677,13 +3677,13 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { } function buildBlockGraph(g, layering, root, reverseSep) { - var blockGraph = new graphlib/* Graph */.k(), + var blockGraph = new graphlib/* Graph */.M(), graphLabel = g.graph(), sepFn = sep(graphLabel.nodesep, graphLabel.edgesep, reverseSep); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var u; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var vRoot = root[v]; blockGraph.setNode(vRoot); if (u) { @@ -3702,7 +3702,7 @@ function buildBlockGraph(g, layering, root, reverseSep) { * Returns the alignment that has the smallest width of the given alignments. */ function findSmallestWidthAlignment(g, xss) { - return lodash_es_minBy(values/* default */.Z(xss), function (xs) { + return lodash_es_minBy(values/* default */.c(xss), function (xs) { var max = Number.NEGATIVE_INFINITY; var min = Number.POSITIVE_INFINITY; @@ -3725,18 +3725,18 @@ function findSmallestWidthAlignment(g, xss) { * coordinate of the smallest width alignment. */ function alignCoordinates(xss, alignTo) { - var alignToVals = values/* default */.Z(alignTo), + var alignToVals = values/* default */.c(alignTo), alignToMin = lodash_es_min(alignToVals), alignToMax = lodash_es_max(alignToVals); - forEach/* default */.Z(['u', 'd'], function (vert) { - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + forEach/* default */.c(['l', 'r'], function (horiz) { var alignment = vert + horiz, xs = xss[alignment], delta; if (xs === alignTo) return; - var xsVals = values/* default */.Z(xs); + var xsVals = values/* default */.c(xs); delta = horiz === 'l' ? alignToMin - lodash_es_min(xsVals) : alignToMax - lodash_es_max(xsVals); if (delta) { @@ -3753,7 +3753,7 @@ function balance(xss, align) { if (align) { return xss[align.toLowerCase()][v]; } else { - var xs = lodash_es_sortBy(map/* default */.Z(xss, v)); + var xs = lodash_es_sortBy(map/* default */.c(xss, v)); return (xs[1] + xs[2]) / 2; } }); @@ -3761,16 +3761,16 @@ function balance(xss, align) { function positionX(g) { var layering = buildLayerMatrix(g); - var conflicts = merge/* default */.Z(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); + var conflicts = merge/* default */.c(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); var xss = {}; var adjustedLayering; - forEach/* default */.Z(['u', 'd'], function (vert) { - adjustedLayering = vert === 'u' ? layering : values/* default */.Z(layering).reverse(); - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + adjustedLayering = vert === 'u' ? layering : values/* default */.c(layering).reverse(); + forEach/* default */.c(['l', 'r'], function (horiz) { if (horiz === 'r') { - adjustedLayering = map/* default */.Z(adjustedLayering, function (inner) { - return values/* default */.Z(inner).reverse(); + adjustedLayering = map/* default */.c(adjustedLayering, function (inner) { + return values/* default */.c(inner).reverse(); }); } @@ -3799,7 +3799,7 @@ function sep(nodeSep, edgeSep, reverseSep) { var delta; sum += vLabel.width / 2; - if (has/* default */.Z(vLabel, 'labelpos')) { + if (has/* default */.c(vLabel, 'labelpos')) { switch (vLabel.labelpos.toLowerCase()) { case 'l': delta = -vLabel.width / 2; @@ -3818,7 +3818,7 @@ function sep(nodeSep, edgeSep, reverseSep) { sum += (wLabel.dummy ? edgeSep : nodeSep) / 2; sum += wLabel.width / 2; - if (has/* default */.Z(wLabel, 'labelpos')) { + if (has/* default */.c(wLabel, 'labelpos')) { switch (wLabel.labelpos.toLowerCase()) { case 'l': delta = wLabel.width / 2; @@ -3861,13 +3861,13 @@ function positionY(g) { var layering = buildLayerMatrix(g); var rankSep = g.graph().ranksep; var prevY = 0; - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var maxHeight = lodash_es_max( - map/* default */.Z(layer, function (v) { + map/* default */.c(layer, function (v) { return g.node(v).height; }) ); - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { g.node(v).y = prevY + maxHeight / 2; }); prevY += maxHeight + rankSep; @@ -3996,7 +3996,7 @@ function runLayout(g, time) { * attributes can influence layout. */ function updateInputGraph(inputGraph, layoutGraph) { - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var inputLabel = inputGraph.node(v); var layoutLabel = layoutGraph.node(v); @@ -4011,12 +4011,12 @@ function updateInputGraph(inputGraph, layoutGraph) { } }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var inputLabel = inputGraph.edge(e); var layoutLabel = layoutGraph.edge(e); inputLabel.points = layoutLabel.points; - if (has/* default */.Z(layoutLabel, 'x')) { + if (has/* default */.c(layoutLabel, 'x')) { inputLabel.x = layoutLabel.x; inputLabel.y = layoutLabel.y; } @@ -4049,24 +4049,24 @@ var edgeAttrs = ['labelpos']; * attributes can influence layout. */ function buildLayoutGraph(inputGraph) { - var g = new graphlib/* Graph */.k({ multigraph: true, compound: true }); + var g = new graphlib/* Graph */.M({ multigraph: true, compound: true }); var graph = canonicalize(inputGraph.graph()); g.setGraph( - merge/* default */.Z({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.Z(graph, graphAttrs)) + merge/* default */.c({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.c(graph, graphAttrs)) ); - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var node = canonicalize(inputGraph.node(v)); - g.setNode(v, defaults/* default */.Z(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); + g.setNode(v, defaults/* default */.c(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); g.setParent(v, inputGraph.parent(v)); }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var edge = canonicalize(inputGraph.edge(e)); g.setEdge( e, - merge/* default */.Z({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.Z(edge, edgeAttrs)) + merge/* default */.c({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.c(edge, edgeAttrs)) ); }); @@ -4084,7 +4084,7 @@ function buildLayoutGraph(inputGraph) { function makeSpaceForEdgeLabels(g) { var graph = g.graph(); graph.ranksep /= 2; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); edge.minlen *= 2; if (edge.labelpos.toLowerCase() !== 'c') { @@ -4104,7 +4104,7 @@ function makeSpaceForEdgeLabels(g) { * label's position. */ function injectEdgeLabelProxies(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.width && edge.height) { var v = g.node(e.v); @@ -4117,7 +4117,7 @@ function injectEdgeLabelProxies(g) { function assignRankMinMax(g) { var maxRank = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.borderTop) { node.minRank = g.node(node.borderTop).rank; @@ -4130,7 +4130,7 @@ function assignRankMinMax(g) { } function removeEdgeLabelProxies(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'edge-proxy') { g.edge(node.e).labelRank = node.rank; @@ -4159,12 +4159,12 @@ function translateGraph(g) { maxY = Math.max(maxY, y + h / 2); } - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { getExtremes(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { getExtremes(edge); } }); @@ -4172,22 +4172,22 @@ function translateGraph(g) { minX -= marginX; minY -= marginY; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); node.x -= minX; node.y -= minY; }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, function (p) { + forEach/* default */.c(edge.points, function (p) { p.x -= minX; p.y -= minY; }); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { edge.x -= minX; } - if (has/* default */.Z(edge, 'y')) { + if (has/* default */.c(edge, 'y')) { edge.y -= minY; } }); @@ -4197,7 +4197,7 @@ function translateGraph(g) { } function assignNodeIntersects(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); var nodeV = g.node(e.v); var nodeW = g.node(e.w); @@ -4216,9 +4216,9 @@ function assignNodeIntersects(g) { } function fixupEdgeLabelCoords(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { if (edge.labelpos === 'l' || edge.labelpos === 'r') { edge.width -= edge.labeloffset; } @@ -4235,7 +4235,7 @@ function fixupEdgeLabelCoords(g) { } function reversePointsForReversedEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.reversed) { edge.points.reverse(); @@ -4244,7 +4244,7 @@ function reversePointsForReversedEdges(g) { } function removeBorderNodes(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.children(v).length) { var node = g.node(v); var t = g.node(node.borderTop); @@ -4259,7 +4259,7 @@ function removeBorderNodes(g) { } }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.node(v).dummy === 'border') { g.removeNode(v); } @@ -4267,7 +4267,7 @@ function removeBorderNodes(g) { } function removeSelfEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { if (e.v === e.w) { var node = g.node(e.v); if (!node.selfEdges) { @@ -4281,12 +4281,12 @@ function removeSelfEdges(g) { function insertSelfEdges(g) { var layers = buildLayerMatrix(g); - forEach/* default */.Z(layers, function (layer) { + forEach/* default */.c(layers, function (layer) { var orderShift = 0; - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var node = g.node(v); node.order = i + orderShift; - forEach/* default */.Z(node.selfEdges, function (selfEdge) { + forEach/* default */.c(node.selfEdges, function (selfEdge) { addDummyNode( g, 'selfedge', @@ -4307,7 +4307,7 @@ function insertSelfEdges(g) { } function positionSelfEdges(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'selfedge') { var selfNode = g.node(node.e.v); @@ -4331,12 +4331,12 @@ function positionSelfEdges(g) { } function selectNumberAttrs(obj, attrs) { - return lodash_es_mapValues(pick/* default */.Z(obj, attrs), Number); + return lodash_es_mapValues(pick/* default */.c(obj, attrs), Number); } function canonicalize(attrs) { var newAttrs = {}; - forEach/* default */.Z(attrs, function (v, k) { + forEach/* default */.c(attrs, function (v, k) { newAttrs[k.toLowerCase()] = v; }); return newAttrs; @@ -4353,39 +4353,39 @@ function canonicalize(attrs) { /***/ }), -/***/ 52544: +/***/ 58048: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - k: () => (/* binding */ Graph) + M: () => (/* binding */ Graph) }); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/isFunction.js -var isFunction = __webpack_require__(73234); +var isFunction = __webpack_require__(59680); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); // EXTERNAL MODULE: ./node_modules/lodash-es/isEmpty.js -var isEmpty = __webpack_require__(79697); +var isEmpty = __webpack_require__(28796); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsNaN.js /** * The base implementation of `_.isNaN` without support for number objects. @@ -4442,7 +4442,7 @@ function strictIndexOf(array, value, fromIndex) { function baseIndexOf(array, value, fromIndex) { return value === value ? _strictIndexOf(array, value, fromIndex) - : (0,_baseFindIndex/* default */.Z)(array, _baseIsNaN, fromIndex); + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); } /* harmony default export */ const _baseIndexOf = (baseIndexOf); @@ -4491,9 +4491,9 @@ function arrayIncludesWith(array, value, comparator) { /* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); // EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js -var _Set = __webpack_require__(93203); +var _Set = __webpack_require__(61268); ;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js /** * This method returns `undefined`. @@ -4514,7 +4514,7 @@ function noop() { /* harmony default export */ const lodash_es_noop = (noop); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js @@ -4530,8 +4530,8 @@ var INFINITY = 1 / 0; * @param {Array} values The values to add to the set. * @returns {Object} Returns the new set. */ -var createSet = !(_Set/* default */.Z && (1 / (0,_setToArray/* default */.Z)(new _Set/* default */.Z([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { - return new _Set/* default */.Z(values); +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); }; /* harmony default export */ const _createSet = (createSet); @@ -4571,11 +4571,11 @@ function baseUniq(array, iteratee, comparator) { else if (length >= LARGE_ARRAY_SIZE) { var set = iteratee ? null : _createSet(array); if (set) { - return (0,_setToArray/* default */.Z)(set); + return (0,_setToArray/* default */.c)(set); } isCommon = false; - includes = _cacheHas/* default */.Z; - seen = new _SetCache/* default */.Z; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; } else { seen = iteratee ? [] : result; @@ -4611,7 +4611,7 @@ function baseUniq(array, iteratee, comparator) { /* harmony default export */ const _baseUniq = (baseUniq); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js -var isArrayLikeObject = __webpack_require__(836); +var isArrayLikeObject = __webpack_require__(19724); ;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js @@ -4634,16 +4634,16 @@ var isArrayLikeObject = __webpack_require__(836); * _.union([2], [1, 2]); * // => [2, 1] */ -var union = (0,_baseRest/* default */.Z)(function(arrays) { - return _baseUniq((0,_baseFlatten/* default */.Z)(arrays, 1, isArrayLikeObject/* default */.Z, true)); +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); }); /* harmony default export */ const lodash_es_union = (union); // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js @@ -4672,18 +4672,18 @@ var EDGE_KEY_DELIM = '\x01'; // we're going to get to a performant hashtable in JavaScript. class Graph { constructor(opts = {}) { - this._isDirected = has/* default */.Z(opts, 'directed') ? opts.directed : true; - this._isMultigraph = has/* default */.Z(opts, 'multigraph') ? opts.multigraph : false; - this._isCompound = has/* default */.Z(opts, 'compound') ? opts.compound : false; + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; // Label for the graph itself this._label = undefined; // Defaults to be set when creating a new node - this._defaultNodeLabelFn = constant/* default */.Z(undefined); + this._defaultNodeLabelFn = constant/* default */.c(undefined); // Defaults to be set when creating a new edge - this._defaultEdgeLabelFn = constant/* default */.Z(undefined); + this._defaultEdgeLabelFn = constant/* default */.c(undefined); // v -> label this._nodes = {}; @@ -4734,8 +4734,8 @@ class Graph { } /* === Node functions ========== */ setDefaultNodeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultNodeLabelFn = newDefault; return this; @@ -4744,24 +4744,24 @@ class Graph { return this._nodeCount; } nodes() { - return keys/* default */.Z(this._nodes); + return keys/* default */.c(this._nodes); } sources() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._in[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); }); } sinks() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._out[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); }); } setNodes(vs, value) { var args = arguments; var self = this; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (args.length > 1) { self.setNode(v, value); } else { @@ -4771,7 +4771,7 @@ class Graph { return this; } setNode(v, value) { - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { if (arguments.length > 1) { this._nodes[v] = value; } @@ -4796,11 +4796,11 @@ class Graph { return this._nodes[v]; } hasNode(v) { - return has/* default */.Z(this._nodes, v); + return has/* default */.c(this._nodes, v); } removeNode(v) { var self = this; - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { var removeEdge = function (e) { self.removeEdge(self._edgeObjs[e]); }; @@ -4808,15 +4808,15 @@ class Graph { if (this._isCompound) { this._removeFromParentsChildList(v); delete this._parent[v]; - forEach/* default */.Z(this.children(v), function (child) { + forEach/* default */.c(this.children(v), function (child) { self.setParent(child); }); delete this._children[v]; } - forEach/* default */.Z(keys/* default */.Z(this._in[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); delete this._in[v]; delete this._preds[v]; - forEach/* default */.Z(keys/* default */.Z(this._out[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); delete this._out[v]; delete this._sucs[v]; --this._nodeCount; @@ -4828,12 +4828,12 @@ class Graph { throw new Error('Cannot set parent in a non-compound graph'); } - if (isUndefined/* default */.Z(parent)) { + if (isUndefined/* default */.c(parent)) { parent = GRAPH_NODE; } else { // Coerce parent to string parent += ''; - for (var ancestor = parent; !isUndefined/* default */.Z(ancestor); ancestor = this.parent(ancestor)) { + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { if (ancestor === v) { throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); } @@ -4860,14 +4860,14 @@ class Graph { } } children(v) { - if (isUndefined/* default */.Z(v)) { + if (isUndefined/* default */.c(v)) { v = GRAPH_NODE; } if (this._isCompound) { var children = this._children[v]; if (children) { - return keys/* default */.Z(children); + return keys/* default */.c(children); } } else if (v === GRAPH_NODE) { return this.nodes(); @@ -4878,13 +4878,13 @@ class Graph { predecessors(v) { var predsV = this._preds[v]; if (predsV) { - return keys/* default */.Z(predsV); + return keys/* default */.c(predsV); } } successors(v) { var sucsV = this._sucs[v]; if (sucsV) { - return keys/* default */.Z(sucsV); + return keys/* default */.c(sucsV); } } neighbors(v) { @@ -4913,13 +4913,13 @@ class Graph { copy.setGraph(this.graph()); var self = this; - forEach/* default */.Z(this._nodes, function (value, v) { + forEach/* default */.c(this._nodes, function (value, v) { if (filter(v)) { copy.setNode(v, value); } }); - forEach/* default */.Z(this._edgeObjs, function (e) { + forEach/* default */.c(this._edgeObjs, function (e) { // @ts-expect-error if (copy.hasNode(e.v) && copy.hasNode(e.w)) { copy.setEdge(e, self.edge(e)); @@ -4940,7 +4940,7 @@ class Graph { } if (this._isCompound) { - forEach/* default */.Z(copy.nodes(), function (v) { + forEach/* default */.c(copy.nodes(), function (v) { copy.setParent(v, findParent(v)); }); } @@ -4949,8 +4949,8 @@ class Graph { } /* === Edge functions ========== */ setDefaultEdgeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultEdgeLabelFn = newDefault; return this; @@ -4959,12 +4959,12 @@ class Graph { return this._edgeCount; } edges() { - return values/* default */.Z(this._edgeObjs); + return values/* default */.c(this._edgeObjs); } setPath(vs, value) { var self = this; var args = arguments; - reduce/* default */.Z(vs, function (v, w) { + reduce/* default */.c(vs, function (v, w) { if (args.length > 1) { self.setEdge(v, w, value); } else { @@ -5003,19 +5003,19 @@ class Graph { v = '' + v; w = '' + w; - if (!isUndefined/* default */.Z(name)) { + if (!isUndefined/* default */.c(name)) { name = '' + name; } var e = edgeArgsToId(this._isDirected, v, w, name); - if (has/* default */.Z(this._edgeLabels, e)) { + if (has/* default */.c(this._edgeLabels, e)) { if (valueSpecified) { this._edgeLabels[e] = value; } return this; } - if (!isUndefined/* default */.Z(name) && !this._isMultigraph) { + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { throw new Error('Cannot set a named edge when isMultigraph = false'); } @@ -5053,7 +5053,7 @@ class Graph { arguments.length === 1 ? edgeObjToId(this._isDirected, arguments[0]) : edgeArgsToId(this._isDirected, v, w, name); - return has/* default */.Z(this._edgeLabels, e); + return has/* default */.c(this._edgeLabels, e); } removeEdge(v, w, name) { var e = @@ -5077,11 +5077,11 @@ class Graph { inEdges(v, u) { var inV = this._in[v]; if (inV) { - var edges = values/* default */.Z(inV); + var edges = values/* default */.c(inV); if (!u) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.v === u; }); } @@ -5089,11 +5089,11 @@ class Graph { outEdges(v, w) { var outV = this._out[v]; if (outV) { - var edges = values/* default */.Z(outV); + var edges = values/* default */.c(outV); if (!w) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.w === w; }); } @@ -5134,7 +5134,7 @@ function edgeArgsToId(isDirected, v_, w_, name) { v = w; w = tmp; } - return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.Z(name) ? DEFAULT_EDGE_NAME : name); + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); } function edgeArgsToObj(isDirected, v_, w_, name) { @@ -5159,14 +5159,14 @@ function edgeObjToId(isDirected, edgeObj) { /***/ }), -/***/ 45625: +/***/ 95536: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ k: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.k) +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) /* harmony export */ }); /* unused harmony export version */ -/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(52544); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); // Includes only the "core" of graphlib @@ -5178,17 +5178,17 @@ const version = '2.1.9-pre'; /***/ }), -/***/ 63001: +/***/ 34528: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _SetCache) + c: () => (/* binding */ _SetCache) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules -var _MapCache = __webpack_require__(37834); +var _MapCache = __webpack_require__(86320); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; @@ -5243,7 +5243,7 @@ function SetCache(values) { var index = -1, length = values == null ? 0 : values.length; - this.__data__ = new _MapCache/* default */.Z; + this.__data__ = new _MapCache/* default */.c; while (++index < length) { this.add(values[index]); } @@ -5258,11 +5258,11 @@ SetCache.prototype.has = _setCacheHas; /***/ }), -/***/ 76579: +/***/ 56812: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.forEach` for arrays without support for @@ -5290,11 +5290,11 @@ function arrayEach(array, iteratee) { /***/ }), -/***/ 68774: +/***/ 46091: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.filter` for arrays without support for @@ -5325,11 +5325,11 @@ function arrayFilter(array, predicate) { /***/ }), -/***/ 74073: +/***/ 1304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.map` for arrays without support for iteratee @@ -5356,11 +5356,11 @@ function arrayMap(array, iteratee) { /***/ }), -/***/ 58694: +/***/ 25072: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Appends the elements of `values` to `array`. @@ -5386,25 +5386,25 @@ function arrayPush(array, values) { /***/ }), -/***/ 48451: +/***/ 48492: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseClone) + c: () => (/* binding */ _baseClone) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js -var _arrayEach = __webpack_require__(76579); +var _arrayEach = __webpack_require__(56812); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js -var _copyObject = __webpack_require__(31899); +var _copyObject = __webpack_require__(58904); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js @@ -5419,13 +5419,13 @@ var keys = __webpack_require__(17179); * @returns {Object} Returns `object`. */ function baseAssign(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keys/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); } /* harmony default export */ const _baseAssign = (baseAssign); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js @@ -5440,17 +5440,17 @@ var keysIn = __webpack_require__(32957); * @returns {Object} Returns `object`. */ function baseAssignIn(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keysIn/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); } /* harmony default export */ const _baseAssignIn = (baseAssignIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js -var _cloneBuffer = __webpack_require__(91050); +var _cloneBuffer = __webpack_require__(86656); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js -var _copyArray = __webpack_require__(87215); +var _copyArray = __webpack_require__(32488); // EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js -var _getSymbols = __webpack_require__(95695); +var _getSymbols = __webpack_require__(10772); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js @@ -5464,17 +5464,17 @@ var _getSymbols = __webpack_require__(95695); * @returns {Object} Returns `object`. */ function copySymbols(source, object) { - return (0,_copyObject/* default */.Z)(source, (0,_getSymbols/* default */.Z)(source), object); + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); } /* harmony default export */ const _copySymbols = (copySymbols); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js -var _getPrototype = __webpack_require__(12513); +var _getPrototype = __webpack_require__(75388); // EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js -var stubArray = __webpack_require__(60532); +var stubArray = __webpack_require__(41716); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js @@ -5491,11 +5491,11 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(object) { +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { var result = []; while (object) { - (0,_arrayPush/* default */.Z)(result, (0,_getSymbols/* default */.Z)(object)); - object = (0,_getPrototype/* default */.Z)(object); + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); } return result; }; @@ -5515,15 +5515,15 @@ var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(objec * @returns {Object} Returns `object`. */ function copySymbolsIn(source, object) { - return (0,_copyObject/* default */.Z)(source, _getSymbolsIn(source), object); + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); } /* harmony default export */ const _copySymbolsIn = (copySymbolsIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js -var _baseGetAllKeys = __webpack_require__(63327); +var _baseGetAllKeys = __webpack_require__(30176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js @@ -5538,13 +5538,13 @@ var _baseGetAllKeys = __webpack_require__(63327); * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { - return (0,_baseGetAllKeys/* default */.Z)(object, keysIn/* default */.Z, _getSymbolsIn); + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); } /* harmony default export */ const _getAllKeysIn = (getAllKeysIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js /** Used for built-in method references. */ var objectProto = Object.prototype; @@ -5574,7 +5574,7 @@ function initCloneArray(array) { /* harmony default export */ const _initCloneArray = (initCloneArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js -var _cloneArrayBuffer = __webpack_require__(41884); +var _cloneArrayBuffer = __webpack_require__(40976); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js @@ -5587,7 +5587,7 @@ var _cloneArrayBuffer = __webpack_require__(41884); * @returns {Object} Returns the cloned data view. */ function cloneDataView(dataView, isDeep) { - var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.Z)(dataView.buffer) : dataView.buffer; + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); } @@ -5613,12 +5613,12 @@ function cloneRegExp(regexp) { /* harmony default export */ const _cloneRegExp = (cloneRegExp); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -5635,7 +5635,7 @@ function cloneSymbol(symbol) { /* harmony default export */ const _cloneSymbol = (cloneSymbol); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js -var _cloneTypedArray = __webpack_require__(12701); +var _cloneTypedArray = __webpack_require__(70552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js @@ -5681,7 +5681,7 @@ function initCloneByTag(object, tag, isDeep) { var Ctor = object.constructor; switch (tag) { case arrayBufferTag: - return (0,_cloneArrayBuffer/* default */.Z)(object); + return (0,_cloneArrayBuffer/* default */.c)(object); case boolTag: case dateTag: @@ -5693,7 +5693,7 @@ function initCloneByTag(object, tag, isDeep) { case float32Tag: case float64Tag: case int8Tag: case int16Tag: case int32Tag: case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: - return (0,_cloneTypedArray/* default */.Z)(object, isDeep); + return (0,_cloneTypedArray/* default */.c)(object, isDeep); case mapTag: return new Ctor; @@ -5716,13 +5716,13 @@ function initCloneByTag(object, tag, isDeep) { /* harmony default export */ const _initCloneByTag = (initCloneByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules -var _initCloneObject = __webpack_require__(73658); +var _initCloneObject = __webpack_require__(1684); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js @@ -5738,22 +5738,22 @@ var _baseIsMap_mapTag = '[object Map]'; * @returns {boolean} Returns `true` if `value` is a map, else `false`. */ function baseIsMap(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsMap_mapTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; } /* harmony default export */ const _baseIsMap = (baseIsMap); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); // EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js -var _nodeUtil = __webpack_require__(98351); +var _nodeUtil = __webpack_require__(17576); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js /* Node.js helper references. */ -var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; /** * Checks if `value` is classified as a `Map` object. @@ -5772,12 +5772,12 @@ var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; * _.isMap(new WeakMap); * // => false */ -var isMap = nodeIsMap ? (0,_baseUnary/* default */.Z)(nodeIsMap) : _baseIsMap; +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; /* harmony default export */ const lodash_es_isMap = (isMap); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js @@ -5793,7 +5793,7 @@ var _baseIsSet_setTag = '[object Set]'; * @returns {boolean} Returns `true` if `value` is a set, else `false`. */ function baseIsSet(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsSet_setTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; } /* harmony default export */ const _baseIsSet = (baseIsSet); @@ -5804,7 +5804,7 @@ function baseIsSet(value) { /* Node.js helper references. */ -var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; /** * Checks if `value` is classified as a `Set` object. @@ -5823,7 +5823,7 @@ var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; * _.isSet(new WeakSet); * // => false */ -var isSet = nodeIsSet ? (0,_baseUnary/* default */.Z)(nodeIsSet) : _baseIsSet; +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; /* harmony default export */ const lodash_es_isSet = (isSet); @@ -5929,24 +5929,24 @@ function baseClone(value, bitmask, customizer, key, object, stack) { if (result !== undefined) { return result; } - if (!(0,isObject/* default */.Z)(value)) { + if (!(0,isObject/* default */.c)(value)) { return value; } - var isArr = (0,isArray/* default */.Z)(value); + var isArr = (0,isArray/* default */.c)(value); if (isArr) { result = _initCloneArray(value); if (!isDeep) { - return (0,_copyArray/* default */.Z)(value, result); + return (0,_copyArray/* default */.c)(value, result); } } else { - var tag = (0,_getTag/* default */.Z)(value), + var tag = (0,_getTag/* default */.c)(value), isFunc = tag == funcTag || tag == genTag; - if ((0,isBuffer/* default */.Z)(value)) { - return (0,_cloneBuffer/* default */.Z)(value, isDeep); + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); } if (tag == objectTag || tag == argsTag || (isFunc && !object)) { - result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.Z)(value); + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); if (!isDeep) { return isFlat ? _copySymbolsIn(value, _baseAssignIn(result, value)) @@ -5960,7 +5960,7 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } } // Check for circular references and return its corresponding clone. - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); var stacked = stack.get(value); if (stacked) { return stacked; @@ -5978,17 +5978,17 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } var keysFunc = isFull - ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.Z) - : (isFlat ? keysIn/* default */.Z : keys/* default */.Z); + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); var props = isArr ? undefined : keysFunc(value); - (0,_arrayEach/* default */.Z)(props || value, function(subValue, key) { + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { if (props) { key = subValue; subValue = value[key]; } // Recursively populate clone (susceptible to call stack limits). - (0,_assignValue/* default */.Z)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); }); return result; } @@ -5998,19 +5998,19 @@ function baseClone(value, bitmask, customizer, key, object, stack) { /***/ }), -/***/ 49811: +/***/ 92816: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseEach) + c: () => (/* binding */ _baseEach) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js @@ -6027,7 +6027,7 @@ function createBaseEach(eachFunc, fromRight) { if (collection == null) { return collection; } - if (!(0,isArrayLike/* default */.Z)(collection)) { + if (!(0,isArrayLike/* default */.c)(collection)) { return eachFunc(collection, iteratee); } var length = collection.length, @@ -6057,18 +6057,18 @@ function createBaseEach(eachFunc, fromRight) { * @param {Function} iteratee The function invoked per iteration. * @returns {Array|Object} Returns `collection`. */ -var baseEach = _createBaseEach(_baseForOwn/* default */.Z); +var baseEach = _createBaseEach(_baseForOwn/* default */.c); /* harmony default export */ const _baseEach = (baseEach); /***/ }), -/***/ 21692: +/***/ 16428: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.findIndex` and `_.findLastIndex` without @@ -6098,30 +6098,30 @@ function baseFindIndex(array, predicate, fromIndex, fromRight) { /***/ }), -/***/ 10626: +/***/ 40571: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseFlatten) + c: () => (/* binding */ _baseFlatten) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules -var isArguments = __webpack_require__(29169); +var isArguments = __webpack_require__(59636); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js /** Built-in value references. */ -var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatSpreadable : undefined; +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; /** * Checks if `value` is a flattenable `arguments` object or array. @@ -6131,7 +6131,7 @@ var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatS * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { - return (0,isArray/* default */.Z)(value) || (0,isArguments/* default */.Z)(value) || + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } @@ -6166,7 +6166,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { - (0,_arrayPush/* default */.Z)(result, value); + (0,_arrayPush/* default */.c)(result, value); } } else if (!isStrict) { result[result.length] = value; @@ -6180,14 +6180,14 @@ function baseFlatten(array, depth, predicate, isStrict, result) { /***/ }), -/***/ 2693: +/***/ 79985: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(61395); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -6200,7 +6200,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { * @returns {Object} Returns `object`. */ function baseForOwn(object, iteratee) { - return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z); + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); @@ -6208,14 +6208,14 @@ function baseForOwn(object, iteratee) { /***/ }), -/***/ 13317: +/***/ 60604: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -6228,13 +6228,13 @@ function baseForOwn(object, iteratee) { * @returns {*} Returns the resolved value. */ function baseGet(object, path) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = 0, length = path.length; while (object != null && index < length) { - object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index++])]; + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; } return (index && index == length) ? object : undefined; } @@ -6244,14 +6244,14 @@ function baseGet(object, path) { /***/ }), -/***/ 63327: +/***/ 30176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(58694); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -6268,7 +6268,7 @@ function baseGet(object, path) { */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); - return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(result, symbolsFunc(object)); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); @@ -6276,19 +6276,19 @@ function baseGetAllKeys(object, keysFunc, symbolsFunc) { /***/ }), -/***/ 74765: +/***/ 91312: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseIteratee) + c: () => (/* binding */ _baseIteratee) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js /** * A specialized version of `_.some` for arrays without support for iteratee @@ -6315,7 +6315,7 @@ function arraySome(array, predicate) { /* harmony default export */ const _arraySome = (arraySome); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js @@ -6354,7 +6354,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { } var index = -1, result = true, - seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.Z : undefined; + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; stack.set(array, other); stack.set(other, array); @@ -6379,7 +6379,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { // Recursively compare arrays (susceptible to call stack limits). if (seen) { if (!_arraySome(other, function(othValue, othIndex) { - if (!(0,_cacheHas/* default */.Z)(seen, othIndex) && + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { return seen.push(othIndex); } @@ -6403,11 +6403,11 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalArrays = (equalArrays); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js -var _Uint8Array = __webpack_require__(84073); +var _Uint8Array = __webpack_require__(91392); // EXTERNAL MODULE: ./node_modules/lodash-es/eq.js -var eq = __webpack_require__(79651); +var eq = __webpack_require__(73048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js /** * Converts `map` to its key-value pairs. @@ -6429,7 +6429,7 @@ function mapToArray(map) { /* harmony default export */ const _mapToArray = (mapToArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js @@ -6457,7 +6457,7 @@ var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]'; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -6489,7 +6489,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case arrayBufferTag: if ((object.byteLength != other.byteLength) || - !equalFunc(new _Uint8Array/* default */.Z(object), new _Uint8Array/* default */.Z(other))) { + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { return false; } return true; @@ -6499,7 +6499,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case numberTag: // Coerce booleans to `1` or `0` and dates to milliseconds. // Invalid dates are coerced to `NaN`. - return (0,eq/* default */.Z)(+object, +other); + return (0,eq/* default */.c)(+object, +other); case errorTag: return object.name == other.name && object.message == other.message; @@ -6516,7 +6516,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case setTag: var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; - convert || (convert = _setToArray/* default */.Z); + convert || (convert = _setToArray/* default */.c); if (object.size != other.size && !isPartial) { return false; @@ -6545,7 +6545,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalByTag = (equalByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js @@ -6573,9 +6573,9 @@ var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; */ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, - objProps = (0,_getAllKeys/* default */.Z)(object), + objProps = (0,_getAllKeys/* default */.c)(object), objLength = objProps.length, - othProps = (0,_getAllKeys/* default */.Z)(other), + othProps = (0,_getAllKeys/* default */.c)(other), othLength = othProps.length; if (objLength != othLength && !isPartial) { @@ -6639,13 +6639,13 @@ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalObjects = (equalObjects); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules -var isTypedArray = __webpack_require__(18843); +var isTypedArray = __webpack_require__(93416); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js @@ -6685,10 +6685,10 @@ var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnPropert * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. */ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { - var objIsArr = (0,isArray/* default */.Z)(object), - othIsArr = (0,isArray/* default */.Z)(other), - objTag = objIsArr ? arrayTag : (0,_getTag/* default */.Z)(object), - othTag = othIsArr ? arrayTag : (0,_getTag/* default */.Z)(other); + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); objTag = objTag == argsTag ? objectTag : objTag; othTag = othTag == argsTag ? objectTag : othTag; @@ -6697,16 +6697,16 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { othIsObj = othTag == objectTag, isSameTag = objTag == othTag; - if (isSameTag && (0,isBuffer/* default */.Z)(object)) { - if (!(0,isBuffer/* default */.Z)(other)) { + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { return false; } objIsArr = true; objIsObj = false; } if (isSameTag && !objIsObj) { - stack || (stack = new _Stack/* default */.Z); - return (objIsArr || (0,isTypedArray/* default */.Z)(object)) + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); } @@ -6718,21 +6718,21 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other; - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); } } if (!isSameTag) { return false; } - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); } /* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js @@ -6755,7 +6755,7 @@ function baseIsEqual(value, other, bitmask, customizer, stack) { if (value === other) { return true; } - if (value == null || other == null || (!(0,isObjectLike/* default */.Z)(value) && !(0,isObjectLike/* default */.Z)(other))) { + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { return value !== value && other !== other; } return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); @@ -6810,7 +6810,7 @@ function baseIsMatch(object, source, matchData, customizer) { return false; } } else { - var stack = new _Stack/* default */.Z; + var stack = new _Stack/* default */.c; if (customizer) { var result = customizer(objValue, srcValue, key, object, source, stack); } @@ -6828,7 +6828,7 @@ function baseIsMatch(object, source, matchData, customizer) { /* harmony default export */ const _baseIsMatch = (baseIsMatch); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js @@ -6841,13 +6841,13 @@ var isObject = __webpack_require__(77226); * equality comparisons, else `false`. */ function isStrictComparable(value) { - return value === value && !(0,isObject/* default */.Z)(value); + return value === value && !(0,isObject/* default */.c)(value); } /* harmony default export */ const _isStrictComparable = (isStrictComparable); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js @@ -6860,7 +6860,7 @@ var keys = __webpack_require__(17179); * @returns {Array} Returns the match data of `object`. */ function getMatchData(object) { - var result = (0,keys/* default */.Z)(object), + var result = (0,keys/* default */.c)(object), length = result.length; while (length--) { @@ -6921,7 +6921,7 @@ function baseMatches(source) { /* harmony default export */ const _baseMatches = (baseMatches); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); ;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js @@ -6951,18 +6951,18 @@ var _baseGet = __webpack_require__(13317); * // => 'default' */ function get(object, path, defaultValue) { - var result = object == null ? undefined : (0,_baseGet/* default */.Z)(object, path); + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); return result === undefined ? defaultValue : result; } /* harmony default export */ const lodash_es_get = (get); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js @@ -6985,13 +6985,13 @@ var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, * @returns {Function} Returns the new spec function. */ function baseMatchesProperty(path, srcValue) { - if ((0,_isKey/* default */.Z)(path) && _isStrictComparable(srcValue)) { - return _matchesStrictComparable((0,_toKey/* default */.Z)(path), srcValue); + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); } return function(object) { var objValue = lodash_es_get(object, path); return (objValue === undefined && objValue === srcValue) - ? (0,hasIn/* default */.Z)(object, path) + ? (0,hasIn/* default */.c)(object, path) : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); }; } @@ -6999,9 +6999,9 @@ function baseMatchesProperty(path, srcValue) { /* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js @@ -7014,7 +7014,7 @@ var _baseProperty = __webpack_require__(54193); */ function basePropertyDeep(path) { return function(object) { - return (0,_baseGet/* default */.Z)(object, path); + return (0,_baseGet/* default */.c)(object, path); }; } @@ -7049,7 +7049,7 @@ function basePropertyDeep(path) { * // => [1, 2] */ function property(path) { - return (0,_isKey/* default */.Z)(path) ? (0,_baseProperty/* default */.Z)((0,_toKey/* default */.Z)(path)) : _basePropertyDeep(path); + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); } /* harmony default export */ const lodash_es_property = (property); @@ -7075,10 +7075,10 @@ function baseIteratee(value) { return value; } if (value == null) { - return identity/* default */.Z; + return identity/* default */.c; } if (typeof value == 'object') { - return (0,isArray/* default */.Z)(value) + return (0,isArray/* default */.c)(value) ? _baseMatchesProperty(value[0], value[1]) : _baseMatches(value); } @@ -7090,14 +7090,14 @@ function baseIteratee(value) { /***/ }), -/***/ 21018: +/***/ 90360: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(49811); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(92816); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -7111,9 +7111,9 @@ function baseIteratee(value) { */ function baseMap(collection, iteratee) { var index = -1, - result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? Array(collection.length) : []; + result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? Array(collection.length) : []; - (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(collection, function(value, key, collection) { + (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(collection, function(value, key, collection) { result[++index] = iteratee(value, key, collection); }); return result; @@ -7124,11 +7124,11 @@ function baseMap(collection, iteratee) { /***/ }), -/***/ 54193: +/***/ 60472: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.property` without support for deep paths. @@ -7148,11 +7148,11 @@ function baseProperty(key) { /***/ }), -/***/ 59548: +/***/ 5960: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if a `cache` value for `key` exists. @@ -7171,13 +7171,13 @@ function cacheHas(cache, key) { /***/ }), -/***/ 68882: +/***/ 12176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69203); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); /** @@ -7188,7 +7188,7 @@ function cacheHas(cache, key) { * @returns {Function} Returns cast function. */ function castFunction(value) { - return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z; + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); @@ -7196,21 +7196,21 @@ function castFunction(value) { /***/ }), -/***/ 22823: +/***/ 58356: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _castPath) + c: () => (/* binding */ _castPath) }); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js -var memoize = __webpack_require__(42454); +var memoize = __webpack_require__(30528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js @@ -7226,7 +7226,7 @@ var MAX_MEMOIZE_SIZE = 500; * @returns {Function} Returns the new memoized function. */ function memoizeCapped(func) { - var result = (0,memoize/* default */.Z)(func, function(key) { + var result = (0,memoize/* default */.c)(func, function(key) { if (cache.size === MAX_MEMOIZE_SIZE) { cache.clear(); } @@ -7269,7 +7269,7 @@ var stringToPath = _memoizeCapped(function(string) { /* harmony default export */ const _stringToPath = (stringToPath); // EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules -var lodash_es_toString = __webpack_require__(50751); +var lodash_es_toString = __webpack_require__(68019); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js @@ -7285,10 +7285,10 @@ var lodash_es_toString = __webpack_require__(50751); * @returns {Array} Returns the cast property path array. */ function castPath(value, object) { - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { return value; } - return (0,_isKey/* default */.Z)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.Z)(value)); + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); } /* harmony default export */ const _castPath = (castPath); @@ -7296,15 +7296,15 @@ function castPath(value, object) { /***/ }), -/***/ 1808: +/***/ 22980: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(63327); -/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95695); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -7317,7 +7317,7 @@ function castPath(value, object) { * @returns {Array} Returns the array of property names and symbols. */ function getAllKeys(object) { - return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z); + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); @@ -7325,14 +7325,14 @@ function getAllKeys(object) { /***/ }), -/***/ 95695: +/***/ 10772: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(68774); -/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(60532); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); @@ -7352,12 +7352,12 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z : function(object) { +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { if (object == null) { return []; } object = Object(object); - return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(nativeGetSymbols(object), function(symbol) { + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { return propertyIsEnumerable.call(object, symbol); }); }; @@ -7367,18 +7367,18 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ /***/ }), -/***/ 16174: +/***/ 18872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(29169); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27771); -/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(56009); -/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(1656); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -7396,14 +7396,14 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ * @returns {boolean} Returns `true` if `path` exists, else `false`. */ function hasPath(object, path, hasFunc) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = -1, length = path.length, result = false; while (++index < length) { - var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index]); + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); if (!(result = object != null && hasFunc(object, key))) { break; } @@ -7413,8 +7413,8 @@ function hasPath(object, path, hasFunc) { return result; } length = object == null ? 0 : object.length; - return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(key, length) && - ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .Z)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .Z)(object)); + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); @@ -7422,14 +7422,14 @@ function hasPath(object, path, hasFunc) { /***/ }), -/***/ 99365: +/***/ 27544: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72714); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); @@ -7446,12 +7446,12 @@ var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, * @returns {boolean} Returns `true` if `value` is a property name, else `false`. */ function isKey(value, object) { - if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return false; } var type = typeof value; if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value)) { + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { return true; } return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || @@ -7463,11 +7463,11 @@ function isKey(value, object) { /***/ }), -/***/ 6545: +/***/ 68872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Converts `set` to an array of its values. @@ -7491,13 +7491,13 @@ function setToArray(set) { /***/ }), -/***/ 62281: +/***/ 32128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(72714); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); /** Used as references for various `Number` constants. */ @@ -7511,7 +7511,7 @@ var INFINITY = 1 / 0; * @returns {string|symbol} Returns the key. */ function toKey(value) { - if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return value; } var result = (value + ''); @@ -7523,16 +7523,16 @@ function toKey(value) { /***/ }), -/***/ 3688: +/***/ 12804: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69581); -/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(79651); -/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(50439); -/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32957); +/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(34880); +/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(73048); +/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(15552); +/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(97000); @@ -7565,20 +7565,20 @@ var hasOwnProperty = objectProto.hasOwnProperty; * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 }); * // => { 'a': 1, 'b': 2 } */ -var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(function(object, sources) { +var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(function(object, sources) { object = Object(object); var index = -1; var length = sources.length; var guard = length > 2 ? sources[2] : undefined; - if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(sources[0], sources[1], guard)) { + if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(sources[0], sources[1], guard)) { length = 1; } while (++index < length) { var source = sources[index]; - var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(source); + var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(source); var propsIndex = -1; var propsLength = props.length; @@ -7587,7 +7587,7 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) var value = object[key]; if (value === undefined || - ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { + ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { object[key] = source[key]; } } @@ -7601,19 +7601,19 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) /***/ }), -/***/ 13445: +/***/ 55720: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_filter) + c: () => (/* binding */ lodash_es_filter) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js -var _arrayFilter = __webpack_require__(68774); +var _arrayFilter = __webpack_require__(46091); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js @@ -7627,7 +7627,7 @@ var _baseEach = __webpack_require__(49811); */ function baseFilter(collection, predicate) { var result = []; - (0,_baseEach/* default */.Z)(collection, function(value, index, collection) { + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { if (predicate(value, index, collection)) { result.push(value); } @@ -7638,9 +7638,9 @@ function baseFilter(collection, predicate) { /* harmony default export */ const _baseFilter = (baseFilter); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js @@ -7689,8 +7689,8 @@ var isArray = __webpack_require__(27771); * // => objects for ['fred', 'barney'] */ function filter(collection, predicate) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayFilter/* default */.Z : _baseFilter; - return func(collection, (0,_baseIteratee/* default */.Z)(predicate, 3)); + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); } /* harmony default export */ const lodash_es_filter = (filter); @@ -7698,13 +7698,13 @@ function filter(collection, predicate) { /***/ }), -/***/ 27961: +/***/ 9552: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(10626); +/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(40571); /** @@ -7723,7 +7723,7 @@ function filter(collection, predicate) { */ function flatten(array) { var length = array == null ? 0 : array.length; - return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(array, 1) : []; + return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(array, 1) : []; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (flatten); @@ -7731,16 +7731,16 @@ function flatten(array) { /***/ }), -/***/ 70870: +/***/ 50080: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(76579); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(49811); -/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(68882); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -7777,8 +7777,8 @@ function flatten(array) { * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forEach(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); @@ -7786,13 +7786,13 @@ function forEach(collection, iteratee) { /***/ }), -/***/ 17452: +/***/ 7248: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_has) + c: () => (/* binding */ lodash_es_has) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js @@ -7817,7 +7817,7 @@ function baseHas(object, key) { /* harmony default export */ const _baseHas = (baseHas); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js @@ -7850,7 +7850,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function has(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHas); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); } /* harmony default export */ const lodash_es_has = (has); @@ -7858,13 +7858,13 @@ function has(object, path) { /***/ }), -/***/ 75487: +/***/ 73556: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_hasIn) + c: () => (/* binding */ lodash_es_hasIn) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js @@ -7883,7 +7883,7 @@ function baseHasIn(object, key) { /* harmony default export */ const _baseHasIn = (baseHasIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js @@ -7915,7 +7915,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function hasIn(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHasIn); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); } /* harmony default export */ const lodash_es_hasIn = (hasIn); @@ -7923,14 +7923,14 @@ function hasIn(object, path) { /***/ }), -/***/ 72714: +/***/ 46380: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(93589); -/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(18533); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); @@ -7956,7 +7956,7 @@ var symbolTag = '[object Symbol]'; */ function isSymbol(value) { return typeof value == 'symbol' || - ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value) == symbolTag); + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); @@ -7964,11 +7964,11 @@ function isSymbol(value) { /***/ }), -/***/ 49360: +/***/ 60372: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if `value` is `undefined`. @@ -7996,15 +7996,15 @@ function isUndefined(value) { /***/ }), -/***/ 17179: +/***/ 62420: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(87668); -/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(39473); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -8038,7 +8038,7 @@ function isUndefined(value) { * // => ['0', '1'] */ function keys(object) { - return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(object); + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); @@ -8046,16 +8046,16 @@ function keys(object) { /***/ }), -/***/ 43836: +/***/ 92696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(74073); -/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(74765); -/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(21018); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(1304); +/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(91312); +/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(90360); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8104,8 +8104,8 @@ function keys(object) { * // => ['barney', 'fred'] */ function map(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee, 3)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee, 3)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (map); @@ -8113,27 +8113,27 @@ function map(collection, iteratee) { /***/ }), -/***/ 61666: +/***/ 95108: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_pick) + c: () => (/* binding */ lodash_es_pick) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_castPath.js + 2 modules -var _castPath = __webpack_require__(22823); +var _castPath = __webpack_require__(58356); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIndex.js -var _isIndex = __webpack_require__(56009); +var _isIndex = __webpack_require__(748); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSet.js @@ -8152,10 +8152,10 @@ var _toKey = __webpack_require__(62281); * @returns {Object} Returns `object`. */ function baseSet(object, path, value, customizer) { - if (!(0,isObject/* default */.Z)(object)) { + if (!(0,isObject/* default */.c)(object)) { return object; } - path = (0,_castPath/* default */.Z)(path, object); + path = (0,_castPath/* default */.c)(path, object); var index = -1, length = path.length, @@ -8163,7 +8163,7 @@ function baseSet(object, path, value, customizer) { nested = object; while (nested != null && ++index < length) { - var key = (0,_toKey/* default */.Z)(path[index]), + var key = (0,_toKey/* default */.c)(path[index]), newValue = value; if (key === '__proto__' || key === 'constructor' || key === 'prototype') { @@ -8174,12 +8174,12 @@ function baseSet(object, path, value, customizer) { var objValue = nested[key]; newValue = customizer ? customizer(objValue, key, nested) : undefined; if (newValue === undefined) { - newValue = (0,isObject/* default */.Z)(objValue) + newValue = (0,isObject/* default */.c)(objValue) ? objValue - : ((0,_isIndex/* default */.Z)(path[index + 1]) ? [] : {}); + : ((0,_isIndex/* default */.c)(path[index + 1]) ? [] : {}); } } - (0,_assignValue/* default */.Z)(nested, key, newValue); + (0,_assignValue/* default */.c)(nested, key, newValue); nested = nested[key]; } return object; @@ -8208,10 +8208,10 @@ function basePickBy(object, paths, predicate) { while (++index < length) { var path = paths[index], - value = (0,_baseGet/* default */.Z)(object, path); + value = (0,_baseGet/* default */.c)(object, path); if (predicate(value, path)) { - _baseSet(result, (0,_castPath/* default */.Z)(path, object), value); + _baseSet(result, (0,_castPath/* default */.c)(path, object), value); } } return result; @@ -8220,7 +8220,7 @@ function basePickBy(object, paths, predicate) { /* harmony default export */ const _basePickBy = (basePickBy); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePick.js @@ -8236,18 +8236,18 @@ var hasIn = __webpack_require__(75487); */ function basePick(object, paths) { return _basePickBy(object, paths, function(value, path) { - return (0,hasIn/* default */.Z)(object, path); + return (0,hasIn/* default */.c)(object, path); }); } /* harmony default export */ const _basePick = (basePick); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/_overRest.js + 1 modules -var _overRest = __webpack_require__(81211); +var _overRest = __webpack_require__(10648); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToString.js + 2 modules -var _setToString = __webpack_require__(27227); +var _setToString = __webpack_require__(99669); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_flatRest.js @@ -8261,7 +8261,7 @@ var _setToString = __webpack_require__(27227); * @returns {Function} Returns the new function. */ function flatRest(func) { - return (0,_setToString/* default */.Z)((0,_overRest/* default */.Z)(func, undefined, flatten/* default */.Z), func + ''); + return (0,_setToString/* default */.c)((0,_overRest/* default */.c)(func, undefined, flatten/* default */.c), func + ''); } /* harmony default export */ const _flatRest = (flatRest); @@ -8296,13 +8296,13 @@ var pick = _flatRest(function(object, paths) { /***/ }), -/***/ 74379: +/***/ 52264: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_range) + c: () => (/* binding */ lodash_es_range) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseRange.js @@ -8336,9 +8336,9 @@ function baseRange(start, end, step, fromRight) { /* harmony default export */ const _baseRange = (baseRange); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createRange.js @@ -8353,18 +8353,18 @@ var toFinite = __webpack_require__(94099); */ function createRange(fromRight) { return function(start, end, step) { - if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.Z)(start, end, step)) { + if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.c)(start, end, step)) { end = step = undefined; } // Ensure the sign of `-0` is preserved. - start = (0,toFinite/* default */.Z)(start); + start = (0,toFinite/* default */.c)(start); if (end === undefined) { end = start; start = 0; } else { - end = (0,toFinite/* default */.Z)(end); + end = (0,toFinite/* default */.c)(end); } - step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.Z)(step); + step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.c)(step); return _baseRange(start, end, step, fromRight); }; } @@ -8422,13 +8422,13 @@ var range = _createRange(); /***/ }), -/***/ 92344: +/***/ 90460: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_reduce) + c: () => (/* binding */ lodash_es_reduce) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js @@ -8460,9 +8460,9 @@ function arrayReduce(array, iteratee, accumulator, initAccum) { /* harmony default export */ const _arrayReduce = (arrayReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js /** * The base implementation of `_.reduce` and `_.reduceRight`, without support @@ -8489,7 +8489,7 @@ function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { /* harmony default export */ const _baseReduce = (baseReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js @@ -8535,10 +8535,10 @@ var isArray = __webpack_require__(27771); * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) */ function reduce(collection, iteratee, accumulator) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayReduce : _baseReduce, + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, initAccum = arguments.length < 3; - return func(collection, (0,_baseIteratee/* default */.Z)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.Z); + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); } /* harmony default export */ const lodash_es_reduce = (reduce); @@ -8546,11 +8546,11 @@ function reduce(collection, iteratee, accumulator) { /***/ }), -/***/ 60532: +/***/ 41716: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * This method returns a new empty array. @@ -8579,13 +8579,13 @@ function stubArray() { /***/ }), -/***/ 94099: +/***/ 92400: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toFinite) + c: () => (/* binding */ lodash_es_toFinite) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_trimmedEndIndex.js @@ -8631,9 +8631,9 @@ function baseTrim(string) { /* harmony default export */ const _baseTrim = (baseTrim); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toNumber.js @@ -8681,12 +8681,12 @@ function toNumber(value) { if (typeof value == 'number') { return value; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return NAN; } - if ((0,isObject/* default */.Z)(value)) { + if ((0,isObject/* default */.c)(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = (0,isObject/* default */.Z)(other) ? (other + '') : other; + value = (0,isObject/* default */.c)(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; @@ -8747,23 +8747,23 @@ function toFinite(value) { /***/ }), -/***/ 50751: +/***/ 68019: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toString) + c: () => (/* binding */ lodash_es_toString) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js @@ -8774,7 +8774,7 @@ var isSymbol = __webpack_require__(72714); var INFINITY = 1 / 0; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolToString = symbolProto ? symbolProto.toString : undefined; /** @@ -8790,11 +8790,11 @@ function baseToString(value) { if (typeof value == 'string') { return value; } - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { // Recursively convert values (susceptible to call stack limits). - return (0,_arrayMap/* default */.Z)(value, baseToString) + ''; + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return symbolToString ? symbolToString.call(value) : ''; } var result = (value + ''); @@ -8836,13 +8836,13 @@ function toString_toString(value) { /***/ }), -/***/ 66749: +/***/ 41696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50751); +/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(68019); /** Used to generate unique IDs. */ @@ -8867,7 +8867,7 @@ var idCounter = 0; */ function uniqueId(prefix) { var id = ++idCounter; - return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(prefix) + id; + return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(prefix) + id; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (uniqueId); @@ -8875,17 +8875,17 @@ function uniqueId(prefix) { /***/ }), -/***/ 34148: +/***/ 36: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_values) + c: () => (/* binding */ lodash_es_values) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js @@ -8900,7 +8900,7 @@ var _arrayMap = __webpack_require__(74073); * @returns {Object} Returns the array of property values. */ function baseValues(object, props) { - return (0,_arrayMap/* default */.Z)(props, function(key) { + return (0,_arrayMap/* default */.c)(props, function(key) { return object[key]; }); } @@ -8908,7 +8908,7 @@ function baseValues(object, props) { /* harmony default export */ const _baseValues = (baseValues); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js @@ -8940,7 +8940,7 @@ var keys = __webpack_require__(17179); * // => ['h', 'i'] */ function values(object) { - return object == null ? [] : _baseValues(object, (0,keys/* default */.Z)(object)); + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); } /* harmony default export */ const lodash_es_values = (values); @@ -8948,19 +8948,19 @@ function values(object) { /***/ }), -/***/ 29765: +/***/ 79100: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(45625); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(22424); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95536); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(57776); @@ -9720,7 +9720,7 @@ const addElement = (name) => { type: latestElement.type, docRef: latestElement.docRef }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Added new requirement: ", name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Added new requirement: ", name); } latestElement = {}; return elements[name]; @@ -9750,24 +9750,24 @@ const clear = () => { requirements = {}; latestElement = {}; elements = {}; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.t)(); }; const db = { RequirementType, RiskLevel, VerifyType, Relationships, - getConfig: () => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().req, + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().req, addRequirement, getRequirements, setNewReqId, setNewReqText, setNewReqRisk, setNewReqVerifyMethod, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.g, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.b, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.a, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.g, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.b, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.a, addElement, getElements, setNewElementType, @@ -9906,7 +9906,7 @@ const addEdgeLabel = (parentNode, svgPath, conf2, txt) => { }; const drawRelationshipFromLayout = function(svg, rel, g, insert, diagObj) { const edge = g.edge(elementString(rel.src), elementString(rel.dst)); - const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(function(d) { + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(function(d) { return d.x; }).y(function(d) { return d.y; @@ -9915,13 +9915,13 @@ const drawRelationshipFromLayout = function(svg, rel, g, insert, diagObj) { if (rel.type == diagObj.db.Relationships.CONTAINS) { svgPath.attr( "marker-start", - "url(" + _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.e.getUrl(conf.arrowMarkerAbsolute) + "#" + rel.type + "_line_ending)" + "url(" + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.e.getUrl(conf.arrowMarkerAbsolute) + "#" + rel.type + "_line_ending)" ); } else { svgPath.attr("stroke-dasharray", "10,7"); svgPath.attr( "marker-end", - "url(" + _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.e.getUrl(conf.arrowMarkerAbsolute) + "#" + markers.ReqMarkers.ARROW + "_line_ending)" + "url(" + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.e.getUrl(conf.arrowMarkerAbsolute) + "#" + markers.ReqMarkers.ARROW + "_line_ending)" ); } addEdgeLabel(svg, svgPath, conf, `<<${rel.type}>>`); @@ -9931,7 +9931,7 @@ const drawReqs = (reqs, graph, svgNode) => { Object.keys(reqs).forEach((reqName) => { let req = reqs[reqName]; reqName = elementString(reqName); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Added new requirement: ", reqName); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Added new requirement: ", reqName); const groupNode = svgNode.append("g").attr("id", reqName); const textId = "req-" + reqName; const rectNode = newRectNode(groupNode, textId); @@ -10006,16 +10006,16 @@ const elementString = (str) => { return str.replace(/\s/g, "").replace(/\./g, "_"); }; const draw = (text, id, _version, diagObj) => { - conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().requirement; + conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().requirement; const securityLevel = conf.securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); const svg = root.select(`[id='${id}']`); markers.insertLineEndings(svg, conf); - const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .k({ + const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .M({ multigraph: false, compound: false, directed: true @@ -10035,7 +10035,7 @@ const draw = (text, id, _version, diagObj) => { drawReqs(requirements2, g, svg); drawElements(elements2, g, svg); addRelationships(relationships, g); - (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__/* .layout */ .bK)(g); + (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__/* .layout */ .cn)(g); adjustEntities(svg, g); relationships.forEach(function(rel) { drawRelationshipFromLayout(svg, rel, g, id, diagObj); @@ -10044,7 +10044,7 @@ const draw = (text, id, 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You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(e){this.unput(this.match.slice(e))},pastInput:function(){var e=this.matched.substr(0,this.matched.length-this.match.length);return(e.length>20?"...":"")+e.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var e=this.match;return e.length<20&&(e+=this._input.substr(0,20-e.length)),(e.substr(0,20)+(e.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var e=this.pastInput(),t=new Array(e.length+1).join("-");return e+this.upcomingInput()+"\n"+t+"^"},test_match:function(e,t){var i,s,n;if(this.options.backtrack_lexer&&(n={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(n.yylloc.range=this.yylloc.range.slice(0))),(s=e[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=s.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:s?s[s.length-1].length-s[s.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+e[0].length},this.yytext+=e[0],this.match+=e[0],this.matches=e,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(e[0].length),this.matched+=e[0],i=this.performAction.call(this,this.yy,this,t,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),i)return i;if(this._backtrack){for(var r in n)this[r]=n[r];return!1}return!1},next:function(){if(this.done)return this.EOF;var e,t,i,s;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var n=this._currentRules(),r=0;rt[0].length)){if(t=i,s=r,this.options.backtrack_lexer){if(!1!==(e=this.test_match(i,n[r])))return e;if(this._backtrack){t=!1;continue}return!1}if(!this.options.flex)break}return t?!1!==(e=this.test_match(t,n[s]))&&e:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var e=this.next();return e||this.lex()},begin:function(e){this.conditionStack.push(e)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(e){return(e=this.conditionStack.length-1-Math.abs(e||0))>=0?this.conditionStack[e]:"INITIAL"},pushState:function(e){this.begin(e)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(e,t,i,s){switch(i){case 0:return 10;case 1:return e.getLogger().debug("Found space-block"),31;case 2:return e.getLogger().debug("Found nl-block"),31;case 3:return e.getLogger().debug("Found space-block"),29;case 4:e.getLogger().debug(".",t.yytext);break;case 5:e.getLogger().debug("_",t.yytext);break;case 6:return 5;case 7:return t.yytext=-1,28;case 8:return t.yytext=t.yytext.replace(/columns\s+/,""),e.getLogger().debug("COLUMNS (LEX)",t.yytext),28;case 9:case 77:case 78:case 100:this.pushState("md_string");break;case 10:return"MD_STR";case 11:case 35:case 80:this.popState();break;case 12:this.pushState("string");break;case 13:e.getLogger().debug("LEX: POPPING STR:",t.yytext),this.popState();break;case 14:return e.getLogger().debug("LEX: STR end:",t.yytext),"STR";case 15:return t.yytext=t.yytext.replace(/space\:/,""),e.getLogger().debug("SPACE NUM (LEX)",t.yytext),21;case 16:return t.yytext="1",e.getLogger().debug("COLUMNS (LEX)",t.yytext),21;case 17:return 43;case 18:return"LINKSTYLE";case 19:return"INTERPOLATE";case 20:return this.pushState("CLASSDEF"),40;case 21:return this.popState(),this.pushState("CLASSDEFID"),"DEFAULT_CLASSDEF_ID";case 22:return this.popState(),this.pushState("CLASSDEFID"),41;case 23:return this.popState(),42;case 24:return this.pushState("CLASS"),44;case 25:return this.popState(),this.pushState("CLASS_STYLE"),45;case 26:return this.popState(),46;case 27:return this.pushState("STYLE_STMNT"),47;case 28:return this.popState(),this.pushState("STYLE_DEFINITION"),48;case 29:return this.popState(),49;case 30:return this.pushState("acc_title"),"acc_title";case 31:return this.popState(),"acc_title_value";case 32:return this.pushState("acc_descr"),"acc_descr";case 33:return this.popState(),"acc_descr_value";case 34:this.pushState("acc_descr_multiline");break;case 36:return"acc_descr_multiline_value";case 37:return 30;case 38:case 39:case 41:case 42:case 45:return this.popState(),e.getLogger().debug("Lex: (("),"NODE_DEND";case 40:return this.popState(),e.getLogger().debug("Lex: ))"),"NODE_DEND";case 43:return this.popState(),e.getLogger().debug("Lex: (-"),"NODE_DEND";case 44:return this.popState(),e.getLogger().debug("Lex: -)"),"NODE_DEND";case 46:return this.popState(),e.getLogger().debug("Lex: ]]"),"NODE_DEND";case 47:return this.popState(),e.getLogger().debug("Lex: ("),"NODE_DEND";case 48:return this.popState(),e.getLogger().debug("Lex: ])"),"NODE_DEND";case 49:case 50:return this.popState(),e.getLogger().debug("Lex: /]"),"NODE_DEND";case 51:return this.popState(),e.getLogger().debug("Lex: )]"),"NODE_DEND";case 52:return this.popState(),e.getLogger().debug("Lex: )"),"NODE_DEND";case 53:return this.popState(),e.getLogger().debug("Lex: ]>"),"NODE_DEND";case 54:return this.popState(),e.getLogger().debug("Lex: ]"),"NODE_DEND";case 55:return e.getLogger().debug("Lexa: -)"),this.pushState("NODE"),36;case 56:return e.getLogger().debug("Lexa: (-"),this.pushState("NODE"),36;case 57:return e.getLogger().debug("Lexa: ))"),this.pushState("NODE"),36;case 58:case 60:case 61:case 62:case 65:return e.getLogger().debug("Lexa: )"),this.pushState("NODE"),36;case 59:return e.getLogger().debug("Lex: ((("),this.pushState("NODE"),36;case 63:return e.getLogger().debug("Lexc: >"),this.pushState("NODE"),36;case 64:return e.getLogger().debug("Lexa: (["),this.pushState("NODE"),36;case 66:case 67:case 68:case 69:case 70:case 71:case 72:return this.pushState("NODE"),36;case 73:return e.getLogger().debug("Lexa: ["),this.pushState("NODE"),36;case 74:return this.pushState("BLOCK_ARROW"),e.getLogger().debug("LEX ARR START"),38;case 75:return e.getLogger().debug("Lex: NODE_ID",t.yytext),32;case 76:return e.getLogger().debug("Lex: EOF",t.yytext),8;case 79:return"NODE_DESCR";case 81:e.getLogger().debug("Lex: Starting string"),this.pushState("string");break;case 82:e.getLogger().debug("LEX ARR: Starting string"),this.pushState("string");break;case 83:return e.getLogger().debug("LEX: NODE_DESCR:",t.yytext),"NODE_DESCR";case 84:e.getLogger().debug("LEX POPPING"),this.popState();break;case 85:e.getLogger().debug("Lex: =>BAE"),this.pushState("ARROW_DIR");break;case 86:return t.yytext=t.yytext.replace(/^,\s*/,""),e.getLogger().debug("Lex (right): dir:",t.yytext),"DIR";case 87:return t.yytext=t.yytext.replace(/^,\s*/,""),e.getLogger().debug("Lex (left):",t.yytext),"DIR";case 88:return t.yytext=t.yytext.replace(/^,\s*/,""),e.getLogger().debug("Lex (x):",t.yytext),"DIR";case 89:return t.yytext=t.yytext.replace(/^,\s*/,""),e.getLogger().debug("Lex (y):",t.yytext),"DIR";case 90:return t.yytext=t.yytext.replace(/^,\s*/,""),e.getLogger().debug("Lex (up):",t.yytext),"DIR";case 91:return t.yytext=t.yytext.replace(/^,\s*/,""),e.getLogger().debug("Lex (down):",t.yytext),"DIR";case 92:return t.yytext="]>",e.getLogger().debug("Lex (ARROW_DIR end):",t.yytext),this.popState(),this.popState(),"BLOCK_ARROW_END";case 93:return e.getLogger().debug("Lex: LINK","#"+t.yytext+"#"),15;case 94:case 95:case 96:return e.getLogger().debug("Lex: LINK",t.yytext),15;case 97:case 98:case 99:return e.getLogger().debug("Lex: START_LINK",t.yytext),this.pushState("LLABEL"),16;case 101:return e.getLogger().debug("Lex: Starting string"),this.pushState("string"),"LINK_LABEL";case 102:return this.popState(),e.getLogger().debug("Lex: LINK","#"+t.yytext+"#"),15;case 103:case 104:return this.popState(),e.getLogger().debug("Lex: LINK",t.yytext),15;case 105:return e.getLogger().debug("Lex: COLON",t.yytext),t.yytext=t.yytext.slice(1),27}},rules:[/^(?:block-beta\b)/,/^(?:block\s+)/,/^(?:block\n+)/,/^(?:block:)/,/^(?:[\s]+)/,/^(?:[\n]+)/,/^(?:((\u000D\u000A)|(\u000A)))/,/^(?:columns\s+auto\b)/,/^(?:columns\s+[\d]+)/,/^(?:["][`])/,/^(?:[^`"]+)/,/^(?:[`]["])/,/^(?:["])/,/^(?:["])/,/^(?:[^"]*)/,/^(?:space[:]\d+)/,/^(?:space\b)/,/^(?:default\b)/,/^(?:linkStyle\b)/,/^(?:interpolate\b)/,/^(?:classDef\s+)/,/^(?:DEFAULT\s+)/,/^(?:\w+\s+)/,/^(?:[^\n]*)/,/^(?:class\s+)/,/^(?:(\w+)+((,\s*\w+)*))/,/^(?:[^\n]*)/,/^(?:style\s+)/,/^(?:(\w+)+((,\s*\w+)*))/,/^(?:[^\n]*)/,/^(?:accTitle\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*\{\s*)/,/^(?:[\}])/,/^(?:[^\}]*)/,/^(?:end\b\s*)/,/^(?:\(\(\()/,/^(?:\)\)\))/,/^(?:[\)]\))/,/^(?:\}\})/,/^(?:\})/,/^(?:\(-)/,/^(?:-\))/,/^(?:\(\()/,/^(?:\]\])/,/^(?:\()/,/^(?:\]\))/,/^(?:\\\])/,/^(?:\/\])/,/^(?:\)\])/,/^(?:[\)])/,/^(?:\]>)/,/^(?:[\]])/,/^(?:-\))/,/^(?:\(-)/,/^(?:\)\))/,/^(?:\))/,/^(?:\(\(\()/,/^(?:\(\()/,/^(?:\{\{)/,/^(?:\{)/,/^(?:>)/,/^(?:\(\[)/,/^(?:\()/,/^(?:\[\[)/,/^(?:\[\|)/,/^(?:\[\()/,/^(?:\)\)\))/,/^(?:\[\\)/,/^(?:\[\/)/,/^(?:\[\\)/,/^(?:\[)/,/^(?:<\[)/,/^(?:[^\(\[\n\-\)\{\}\s\<\>:]+)/,/^(?:$)/,/^(?:["][`])/,/^(?:["][`])/,/^(?:[^`"]+)/,/^(?:[`]["])/,/^(?:["])/,/^(?:["])/,/^(?:[^"]+)/,/^(?:["])/,/^(?:\]>\s*\()/,/^(?:,?\s*right\s*)/,/^(?:,?\s*left\s*)/,/^(?:,?\s*x\s*)/,/^(?:,?\s*y\s*)/,/^(?:,?\s*up\s*)/,/^(?:,?\s*down\s*)/,/^(?:\)\s*)/,/^(?:\s*[xo<]?--+[-xo>]\s*)/,/^(?:\s*[xo<]?==+[=xo>]\s*)/,/^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/,/^(?:\s*~~[\~]+\s*)/,/^(?:\s*[xo<]?--\s*)/,/^(?:\s*[xo<]?==\s*)/,/^(?:\s*[xo<]?-\.\s*)/,/^(?:["][`])/,/^(?:["])/,/^(?:\s*[xo<]?--+[-xo>]\s*)/,/^(?:\s*[xo<]?==+[=xo>]\s*)/,/^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/,/^(?::\d+)/],conditions:{STYLE_DEFINITION:{rules:[29],inclusive:!1},STYLE_STMNT:{rules:[28],inclusive:!1},CLASSDEFID:{rules:[23],inclusive:!1},CLASSDEF:{rules:[21,22],inclusive:!1},CLASS_STYLE:{rules:[26],inclusive:!1},CLASS:{rules:[25],inclusive:!1},LLABEL:{rules:[100,101,102,103,104],inclusive:!1},ARROW_DIR:{rules:[86,87,88,89,90,91,92],inclusive:!1},BLOCK_ARROW:{rules:[77,82,85],inclusive:!1},NODE:{rules:[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,78,81],inclusive:!1},md_string:{rules:[10,11,79,80],inclusive:!1},space:{rules:[],inclusive:!1},string:{rules:[13,14,83,84],inclusive:!1},acc_descr_multiline:{rules:[35,36],inclusive:!1},acc_descr:{rules:[33],inclusive:!1},acc_title:{rules:[31],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,5,6,7,8,9,12,15,16,17,18,19,20,24,27,30,32,34,37,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,93,94,95,96,97,98,99,105],inclusive:!0}}};function S(){this.yy={}}return b.lexer=x,S.prototype=b,b.Parser=S,new S}());d.parser=d;const g=d;let y={},p=[],b={};const x="color",S="fill";let L={};const f=function(e,t=""){void 0===L[e]&&(L[e]={id:e,styles:[],textStyles:[]});const i=L[e];null!=t&&t.split(",").forEach((e=>{const t=e.replace(/([^;]*);/,"$1").trim();if(e.match(x)){const e=t.replace(S,"bgFill").replace(x,S);i.textStyles.push(e)}i.styles.push(t)}))},m=function(e,t=""){const i=y[e];null!=t&&(i.styles=t.split(","))},_=function(e,t){e.split(",").forEach((function(e){let i=y[e];if(void 0===i){const t=e.trim();y[t]={id:t,type:"na",children:[]},i=y[t]}i.classes||(i.classes=[]),i.classes.push(t)}))},k=(e,t)=>{const i=e.flat(),s=[];for(const n of i)if("classDef"!==n.type)if("applyClass"!==n.type)if("applyStyles"!==n.type)if("column-setting"===n.type)t.columns=n.columns||-1;else if("edge"===n.type)b[n.id]?b[n.id]++:b[n.id]=1,n.id=b[n.id]+"-"+n.id,p.push(n);else{n.label||("composite"===n.type?n.label="":n.label=n.id);const e=!y[n.id];if(e?y[n.id]=n:("na"!==n.type&&(y[n.id].type=n.type),n.label!==n.id&&(y[n.id].label=n.label)),n.children&&k(n.children,n),"space"===n.type){const e=n.width||1;for(let t=0;t(0,r.E)().block,typeStr2Type:function(e){switch(r.l.debug("typeStr2Type",e),e){case"[]":return"square";case"()":return r.l.debug("we have a round"),"round";case"(())":return"circle";case">]":return"rect_left_inv_arrow";case"{}":return"diamond";case"{{}}":return"hexagon";case"([])":return"stadium";case"[[]]":return"subroutine";case"[()]":return"cylinder";case"((()))":return"doublecircle";case"[//]":return"lean_right";case"[\\\\]":return"lean_left";case"[/\\]":return"trapezoid";case"[\\/]":return"inv_trapezoid";case"<[]>":return"block_arrow";default:return"na"}},edgeTypeStr2Type:function(e){return r.l.debug("typeStr2Type",e),"=="===e?"thick":"normal"},edgeStrToEdgeData:function(e){switch(e.trim()){case"--x":return"arrow_cross";case"--o":return"arrow_circle";default:return"arrow_point"}},getLogger:()=>console,getBlocksFlat:()=>[...Object.values(y)],getBlocks:()=>E||[],getEdges:()=>p,setHierarchy:e=>{w.children=e,k(e,w),E=w.children},getBlock:e=>y[e],setBlock:e=>{y[e.id]=e},getColumns:e=>{const t=y[e];return t?t.columns?t.columns:t.children?t.children.length:-1:-1},getClasses:function(){return L},clear:()=>{r.l.debug("Clear called"),(0,r.t)(),w={id:"root",type:"composite",children:[],columns:-1},y={root:w},E=[],L={},p=[],b={}},generateId:()=>(v++,"id-"+Math.random().toString(36).substr(2,12)+"-"+v)},$=(e,t)=>{const i=o.c,s=i(e,"r"),n=i(e,"g"),r=i(e,"b");return a.c(s,n,r,t)},N=e=>`.label {\n font-family: ${e.fontFamily};\n color: ${e.nodeTextColor||e.textColor};\n }\n .cluster-label text {\n fill: ${e.titleColor};\n }\n .cluster-label span,p {\n color: ${e.titleColor};\n }\n\n\n\n .label text,span,p {\n fill: ${e.nodeTextColor||e.textColor};\n color: ${e.nodeTextColor||e.textColor};\n }\n\n .node rect,\n .node circle,\n .node ellipse,\n .node polygon,\n .node path {\n fill: ${e.mainBkg};\n stroke: ${e.nodeBorder};\n stroke-width: 1px;\n }\n .flowchart-label text {\n text-anchor: middle;\n }\n // .flowchart-label .text-outer-tspan {\n // text-anchor: middle;\n // }\n // .flowchart-label .text-inner-tspan {\n // text-anchor: start;\n // }\n\n .node .label {\n text-align: center;\n }\n .node.clickable {\n cursor: pointer;\n }\n\n .arrowheadPath {\n fill: ${e.arrowheadColor};\n }\n\n .edgePath .path {\n stroke: ${e.lineColor};\n stroke-width: 2.0px;\n }\n\n .flowchart-link {\n stroke: ${e.lineColor};\n fill: none;\n }\n\n .edgeLabel {\n background-color: ${e.edgeLabelBackground};\n rect {\n opacity: 0.5;\n background-color: ${e.edgeLabelBackground};\n fill: ${e.edgeLabelBackground};\n }\n text-align: center;\n }\n\n /* For html labels only */\n .labelBkg {\n background-color: ${$(e.edgeLabelBackground,.5)};\n // background-color:\n }\n\n .node .cluster {\n // fill: ${$(e.mainBkg,.5)};\n fill: ${$(e.clusterBkg,.5)};\n stroke: ${$(e.clusterBorder,.2)};\n box-shadow: rgba(50, 50, 93, 0.25) 0px 13px 27px -5px, rgba(0, 0, 0, 0.3) 0px 8px 16px -8px;\n stroke-width: 1px;\n }\n\n .cluster text {\n fill: ${e.titleColor};\n }\n\n .cluster span,p {\n color: ${e.titleColor};\n }\n /* .cluster div {\n color: ${e.titleColor};\n } */\n\n div.mermaidTooltip {\n position: absolute;\n text-align: center;\n max-width: 200px;\n padding: 2px;\n font-family: ${e.fontFamily};\n font-size: 12px;\n background: ${e.tertiaryColor};\n border: 1px solid ${e.border2};\n border-radius: 2px;\n pointer-events: none;\n z-index: 100;\n }\n\n .flowchartTitleText {\n text-anchor: middle;\n font-size: 18px;\n fill: ${e.textColor};\n }\n`;function I(e,t,i=!1){var s,n,l;const o=e;let a="default";((null==(s=null==o?void 0:o.classes)?void 0:s.length)||0)>0&&(a=((null==o?void 0:o.classes)||[]).join(" ")),a+=" flowchart-label";let c,h=0,u="";switch(o.type){case"round":h=5,u="rect";break;case"composite":h=0,u="composite",c=0;break;case"square":case"group":default:u="rect";break;case"diamond":u="question";break;case"hexagon":u="hexagon";break;case"block_arrow":u="block_arrow";break;case"odd":case"rect_left_inv_arrow":u="rect_left_inv_arrow";break;case"lean_right":u="lean_right";break;case"lean_left":u="lean_left";break;case"trapezoid":u="trapezoid";break;case"inv_trapezoid":u="inv_trapezoid";break;case"circle":u="circle";break;case"ellipse":u="ellipse";break;case"stadium":u="stadium";break;case"subroutine":u="subroutine";break;case"cylinder":u="cylinder";break;case"doublecircle":u="doublecircle"}const d=(0,r.k)((null==o?void 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e=new Set(this.getAllNodes()),t=this.nodesWithGravity.filter((function(t){return e.has(t)}));this.graphManager.setAllNodesToApplyGravitation(t),this.graphManager.updateBounds(),this.updateGrid(),this.coolingFactor=u.DEFAULT_COOLING_FACTOR_INCREMENTAL}else this.isTreeGrowing=!1,this.isGrowthFinished=!0;this.growTreeIterations++}if(this.isGrowthFinished){if(this.isConverged())return!0;this.afterGrowthIterations%10==0&&(this.graphManager.updateBounds(),this.updateGrid()),this.coolingFactor=u.DEFAULT_COOLING_FACTOR_INCREMENTAL*((100-this.afterGrowthIterations)/100),this.afterGrowthIterations++}var n=!this.isTreeGrowing&&!this.isGrowthFinished,r=this.growTreeIterations%10==1&&this.isTreeGrowing||this.afterGrowthIterations%10==1&&this.isGrowthFinished;return this.totalDisplacement=0,this.graphManager.updateBounds(),this.calcSpringForces(),this.calcRepulsionForces(n,r),this.calcGravitationalForces(),this.moveNodes(),this.animate(),!1},m.prototype.getPositionsData=function(){for(var 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e=this,t={};this.memberGroups={},this.idToDummyNode={};for(var n=[],r=this.graphManager.getAllNodes(),i=0;i1){var r="DummyCompound_"+n;e.memberGroups[r]=t[n];var i=t[n][0].getParent(),a=new o(e.graphManager);a.id=r,a.paddingLeft=i.paddingLeft||0,a.paddingRight=i.paddingRight||0,a.paddingBottom=i.paddingBottom||0,a.paddingTop=i.paddingTop||0,e.idToDummyNode[r]=a;var s=e.getGraphManager().add(e.newGraph(),a),l=i.getChild();l.add(a);for(var u=0;u=0;e--){var t=this.compoundOrder[e],n=t.id,r=t.paddingLeft,i=t.paddingTop;this.adjustLocations(this.tiledMemberPack[n],t.rect.x,t.rect.y,r,i)}},m.prototype.repopulateZeroDegreeMembers=function(){var e=this,t=this.tiledZeroDegreePack;Object.keys(t).forEach((function(n){var r=e.idToDummyNode[n],i=r.paddingLeft,a=r.paddingTop;e.adjustLocations(t[n],r.rect.x,r.rect.y,i,a)}))},m.prototype.getToBeTiled=function(e){var t=e.id;if(null!=this.toBeTiled[t])return this.toBeTiled[t];var n=e.getChild();if(null==n)return this.toBeTiled[t]=!1,!1;for(var 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0===t.sweep?2*Math.PI-2*Math.PI/a.length:t.sweep)/Math.max(1,a.length-1),h=0,d=0;d1&&t.avoidOverlap){h*=1.75;var v=Math.cos(c)-Math.cos(0),y=Math.sin(c)-Math.sin(0),m=Math.sqrt(h*h/(v*v+y*y));o=Math.max(m,o)}return r.nodes().layoutPositions(this,t,(function(e,n){var r=t.startAngle+n*c*(i?1:-1),a=o*Math.cos(r),s=o*Math.sin(r);return{x:l+a,y:u+s}})),this};var bo,xo={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(e){return e.degree()},levelWidth:function(e){return e.maxDegree()/4},animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(e,t){return!0},ready:void 0,stop:void 0,transform:function(e,t){return t}};function wo(e){this.options=Q({},xo,e)}wo.prototype.run=function(){for(var e=this.options,t=e,n=void 0!==t.counterclockwise?!t.counterclockwise:t.clockwise,r=e.cy,i=t.eles,a=i.nodes().not(":parent"),o=ft(t.boundingBox?t.boundingBox:{x1:0,y1:0,w:r.width(),h:r.height()}),s=o.x1+o.w/2,l=o.y1+o.h/2,u=[],c=0,h=0;h0)Math.abs(m[0].value-x.value)>=v&&(m=[],y.push(m));m.push(x)}var w=c+t.minNodeSpacing;if(!t.avoidOverlap){var E=y.length>0&&y[0].length>1,_=(Math.min(o.w,o.h)/2-w)/(y.length+E?1:0);w=Math.min(w,_)}for(var T=0,D=0;D1&&t.avoidOverlap){var L=Math.cos(A)-Math.cos(0),k=Math.sin(A)-Math.sin(0),S=Math.sqrt(w*w/(L*L+k*k));T=Math.max(S,T)}C.r=T,T+=w}if(t.equidistant){for(var I=0,M=0,O=0;O=e.numIter)&&(ko(r,e),r.temperature=r.temperature*e.coolingFactor,!(r.temperature=e.animationThreshold&&a(),oe(t)):(Xo(r,e),s())}()}else{for(;u;)u=o(l),l++;Xo(r,e),s()}return this},_o.prototype.stop=function(){return this.stopped=!0,this.thread&&this.thread.stop(),this.emit("layoutstop"),this},_o.prototype.destroy=function(){return this.thread&&this.thread.stop(),this};var To=function(e,t,n){for(var r=n.eles.edges(),i=n.eles.nodes(),a=ft(n.boundingBox?n.boundingBox:{x1:0,y1:0,w:e.width(),h:e.height()}),o={isCompound:e.hasCompoundNodes(),layoutNodes:[],idToIndex:{},nodeSize:i.size(),graphSet:[],indexToGraph:[],layoutEdges:[],edgeSize:r.size(),temperature:n.initialTemp,clientWidth:a.w,clientHeight:a.h,boundingBox:a},s=n.eles.components(),l={},u=0;u0){o.graphSet.push(w);for(u=0;ur.count?0:r.graph},Co=function e(t,n,r,i){var a=i.graphSet[r];if(-10)var s=(u=r.nodeOverlap*o)*i/(f=Math.sqrt(i*i+a*a)),l=u*a/f;else{var u,c=Po(e,i,a),h=Po(t,-1*i,-1*a),d=h.x-c.x,p=h.y-c.y,g=d*d+p*p,f=Math.sqrt(g);s=(u=(e.nodeRepulsion+t.nodeRepulsion)/g)*d/f,l=u*p/f}e.isLocked||(e.offsetX-=s,e.offsetY-=l),t.isLocked||(t.offsetX+=s,t.offsetY+=l)}},Oo=function(e,t,n,r){if(n>0)var i=e.maxX-t.minX;else i=t.maxX-e.minX;if(r>0)var a=e.maxY-t.minY;else a=t.maxY-e.minY;return i>=0&&a>=0?Math.sqrt(i*i+a*a):0},Po=function(e,t,n){var r=e.positionX,i=e.positionY,a=e.height||1,o=e.width||1,s=n/t,l=a/o,u={};return 0===t&&0n?(u.x=r,u.y=i+a/2,u):0t&&-1*l<=s&&s<=l?(u.x=r-o/2,u.y=i-o*n/2/t,u):0=l)?(u.x=r+a*t/2/n,u.y=i+a/2,u):0>n&&(s<=-1*l||s>=l)?(u.x=r-a*t/2/n,u.y=i-a/2,u):u},Ro=function(e,t){for(var n=0;n1){var g=t.gravity*h/p,f=t.gravity*d/p;c.offsetX+=g,c.offsetY+=f}}}}},Fo=function(e,t){var n=[],r=0,i=-1;for(n.push.apply(n,e.graphSet[0]),i+=e.graphSet[0].length;r<=i;){var a=n[r++],o=e.idToIndex[a],s=e.layoutNodes[o],l=s.children;if(0n)var i={x:n*e/r,y:n*t/r};else i={x:e,y:t};return i},Yo=function e(t,n){var r=t.parentId;if(null!=r){var i=n.layoutNodes[n.idToIndex[r]],a=!1;return(null==i.maxX||t.maxX+i.padRight>i.maxX)&&(i.maxX=t.maxX+i.padRight,a=!0),(null==i.minX||t.minX-i.padLefti.maxY)&&(i.maxY=t.maxY+i.padBottom,a=!0),(null==i.minY||t.minY-i.padTopg&&(h+=p+t.componentSpacing,c=0,d=0,p=0)}}},Vo={fit:!0,padding:30,boundingBox:void 0,avoidOverlap:!0,avoidOverlapPadding:10,nodeDimensionsIncludeLabels:!1,spacingFactor:void 0,condense:!1,rows:void 0,cols:void 0,position:function(e){},sort:void 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i,a=n._private,o=g;i=r?r+"-":"",n.boundingBox();var s=a.labelBounds[r||"main"],l=n.pstyle(i+"label").value;if("yes"===n.pstyle("text-events").strValue&&l){var u=b(a.rscratch,"labelX",r),c=b(a.rscratch,"labelY",r),h=b(a.rscratch,"labelAngle",r),d=n.pstyle(i+"text-margin-x").pfValue,p=n.pstyle(i+"text-margin-y").pfValue,f=s.x1-o-d,y=s.x2+o-d,m=s.y1-o-p,x=s.y2+o-p;if(h){var w=Math.cos(h),E=Math.sin(h),_=function(e,t){return{x:(e-=u)*w-(t-=c)*E+u,y:e*E+t*w+c}},T=_(f,m),D=_(f,x),C=_(y,m),N=_(y,x),A=[T.x+d,T.y+p,C.x+d,C.y+p,N.x+d,N.y+p,D.x+d,D.y+p];if(Lt(e,t,A))return v(n),!0}else if(Et(s,e,t))return v(n),!0}}n&&(l=l.interactive);for(var w=l.length-1;w>=0;w--){var E=l[w];E.isNode()?y(E)||x(E):m(E)||x(E)||x(E,"source")||x(E,"target")}return u},getAllInBox:function(e,t,n,r){for(var i,a,o=this.getCachedZSortedEles().interactive,s=[],l=Math.min(e,n),u=Math.max(e,n),c=Math.min(t,r),h=Math.max(t,r),d=ft({x1:e=l,y1:t=c,x2:n=u,y2:r=h}),p=0;p0?Math.max(e-t,0):Math.min(e+t,0)},N=C(T,E),A=C(D,_),L=!1;"auto"===v?f=Math.abs(N)>Math.abs(A)?i:r:v===l||v===s?(f=r,L=!0):v!==a&&v!==o||(f=i,L=!0);var k,S=f===r,I=S?A:N,M=S?D:T,O=lt(M),P=!1;(L&&(m||x)||!(v===s&&M<0||v===l&&M>0||v===a&&M>0||v===o&&M<0)||(I=(O*=-1)*Math.abs(I),P=!0),m)?k=(b<0?1+b:b)*I:k=(b<0?I:0)+b*O;var R=function(e){return Math.abs(e)=Math.abs(I)},B=R(k),F=R(Math.abs(I)-Math.abs(k));if((B||F)&&!P)if(S){var z=Math.abs(M)<=h/2,G=Math.abs(T)<=d/2;if(z){var Y=(u.x1+u.x2)/2,X=u.y1,V=u.y2;n.segpts=[Y,X,Y,V]}else if(G){var U=(u.y1+u.y2)/2,j=u.x1,q=u.x2;n.segpts=[j,U,q,U]}else n.segpts=[u.x1,u.y2]}else{var H=Math.abs(M)<=c/2,W=Math.abs(D)<=p/2;if(H){var $=(u.y1+u.y2)/2,K=u.x1,Z=u.x2;n.segpts=[K,$,Z,$]}else if(W){var Q=(u.x1+u.x2)/2,J=u.y1,ee=u.y2;n.segpts=[Q,J,Q,ee]}else n.segpts=[u.x2,u.y1]}else if(S){var te=u.y1+k+(g?h/2*O:0),ne=u.x1,re=u.x2;n.segpts=[ne,te,re,te]}else{var ie=u.x1+k+(g?c/2*O:0),ae=u.y1,oe=u.y2;n.segpts=[ie,ae,ie,oe]}},is.tryToCorrectInvalidPoints=function(e,t){var n=e._private.rscratch;if("bezier"===n.edgeType){var r=t.srcPos,i=t.tgtPos,a=t.srcW,o=t.srcH,s=t.tgtW,l=t.tgtH,u=t.srcShape,c=t.tgtShape,h=!I(n.startX)||!I(n.startY),d=!I(n.arrowStartX)||!I(n.arrowStartY),p=!I(n.endX)||!I(n.endY),g=!I(n.arrowEndX)||!I(n.arrowEndY),f=3*(this.getArrowWidth(e.pstyle("width").pfValue,e.pstyle("arrow-scale").value)*this.arrowShapeWidth),v=ut({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.startX,y:n.startY}),y=vd.poolIndex()){var p=h;h=d,d=p}var g=s.srcPos=h.position(),f=s.tgtPos=d.position(),v=s.srcW=h.outerWidth(),y=s.srcH=h.outerHeight(),m=s.tgtW=d.outerWidth(),b=s.tgtH=d.outerHeight(),x=s.srcShape=n.nodeShapes[t.getNodeShape(h)],w=s.tgtShape=n.nodeShapes[t.getNodeShape(d)];s.dirCounts={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0};for(var E=0;E0){var X=u,V=ct(X,at(t)),U=ct(X,at(Y)),j=V;if(U2)ct(X,{x:Y[2],y:Y[3]})0){var ie=c,ae=ct(ie,at(t)),oe=ct(ie,at(re)),se=ae;if(oe2)ct(ie,{x:re[2],y:re[3]})=u||m){c={cp:f,segment:y};break}}if(c)break}var b=c.cp,x=c.segment,w=(u-d)/x.length,E=x.t1-x.t0,_=s?x.t0+E*w:x.t1-E*w;_=gt(0,_,1),t=pt(b.p0,b.p1,b.p2,_),i=function(e,t,n,r){var i=gt(0,r-.001,1),a=gt(0,r+.001,1),o=pt(e,t,n,i),s=pt(e,t,n,a);return hs(o,s)}(b.p0,b.p1,b.p2,_);break;case"straight":case"segments":case"haystack":for(var T,D,C,N,A=0,L=r.allpts.length,k=0;k+3=u));k+=2);var S=(u-D)/T;S=gt(0,S,1),t=function(e,t,n,r){var i=t.x-e.x,a=t.y-e.y,o=ut(e,t),s=i/o,l=a/o;return n=null==n?0:n,r=null!=r?r:n*o,{x:e.x+s*r,y:e.y+l*r}}(C,N,S),i=hs(C,N)}o("labelX",n,t.x),o("labelY",n,t.y),o("labelAutoAngle",n,i)}};u("source"),u("target"),this.applyLabelDimensions(e)}},us.applyLabelDimensions=function(e){this.applyPrefixedLabelDimensions(e),e.isEdge()&&(this.applyPrefixedLabelDimensions(e,"source"),this.applyPrefixedLabelDimensions(e,"target"))},us.applyPrefixedLabelDimensions=function(e,t){var n=e._private,r=this.getLabelText(e,t),i=this.calculateLabelDimensions(e,r),a=e.pstyle("line-height").pfValue,o=e.pstyle("text-wrap").strValue,s=Re(n.rscratch,"labelWrapCachedLines",t)||[],l="wrap"!==o?1:Math.max(s.length,1),u=i.height/l,c=u*a,h=i.width,d=i.height+(l-1)*(a-1)*u;Be(n.rstyle,"labelWidth",t,h),Be(n.rscratch,"labelWidth",t,h),Be(n.rstyle,"labelHeight",t,d),Be(n.rscratch,"labelHeight",t,d),Be(n.rscratch,"labelLineHeight",t,c)},us.getLabelText=function(e,t){var n=e._private,r=t?t+"-":"",i=e.pstyle(r+"label").strValue,a=e.pstyle("text-transform").value,o=function(e,r){return r?(Be(n.rscratch,e,t,r),r):Re(n.rscratch,e,t)};if(!i)return"";"none"==a||("uppercase"==a?i=i.toUpperCase():"lowercase"==a&&(i=i.toLowerCase()));var s=e.pstyle("text-wrap").value;if("wrap"===s){var l=o("labelKey");if(null!=l&&o("labelWrapKey")===l)return o("labelWrapCachedText");for(var u=i.split("\n"),c=e.pstyle("text-max-width").pfValue,h="anywhere"===e.pstyle("text-overflow-wrap").value,d=[],p=/[\s\u200b]+/,g=h?"":" ",f=0;fc){for(var b=v.split(p),x="",w=0;wT)break;D+=i[N],N===i.length-1&&(C=!0)}return C||(D+="\u2026"),D}return i},us.getLabelJustification=function(e){var t=e.pstyle("text-justification").strValue,n=e.pstyle("text-halign").strValue;if("auto"!==t)return t;if(!e.isNode())return"center";switch(n){case"left":return"right";case"right":return"left";default:return"center"}},us.calculateLabelDimensions=function(e,t){var n=fe(t,e._private.labelDimsKey),r=this.labelDimCache||(this.labelDimCache=[]),i=r[n];if(null!=i)return i;var a=e.pstyle("font-style").strValue,o=e.pstyle("font-size").pfValue,s=e.pstyle("font-family").strValue,l=e.pstyle("font-weight").strValue,u=this.labelCalcCanvas,c=this.labelCalcCanvasContext;if(!u){u=this.labelCalcCanvas=document.createElement("canvas"),c=this.labelCalcCanvasContext=u.getContext("2d");var h=u.style;h.position="absolute",h.left="-9999px",h.top="-9999px",h.zIndex="-1",h.visibility="hidden",h.pointerEvents="none"}c.font="".concat(a," ").concat(l," ").concat(o,"px ").concat(s);for(var d=0,p=0,g=t.split("\n"),f=0;f1&&void 0!==arguments[1])||arguments[1];if(t.merge(e),n)for(var r=0;r=e.desktopTapThreshold2}var C=i(t);v&&(e.hoverData.tapholdCancelled=!0);n=!0,r(f,["mousemove","vmousemove","tapdrag"],t,{x:u[0],y:u[1]});var N=function(){e.data.bgActivePosistion=void 0,e.hoverData.selecting||o.emit({originalEvent:t,type:"boxstart",position:{x:u[0],y:u[1]}}),g[4]=1,e.hoverData.selecting=!0,e.redrawHint("select",!0),e.redraw()};if(3===e.hoverData.which){if(v){var A={originalEvent:t,type:"cxtdrag",position:{x:u[0],y:u[1]}};m?m.emit(A):o.emit(A),e.hoverData.cxtDragged=!0,e.hoverData.cxtOver&&f===e.hoverData.cxtOver||(e.hoverData.cxtOver&&e.hoverData.cxtOver.emit({originalEvent:t,type:"cxtdragout",position:{x:u[0],y:u[1]}}),e.hoverData.cxtOver=f,f&&f.emit({originalEvent:t,type:"cxtdragover",position:{x:u[0],y:u[1]}}))}}else if(e.hoverData.dragging){if(n=!0,o.panningEnabled()&&o.userPanningEnabled()){var L;if(e.hoverData.justStartedPan){var k=e.hoverData.mdownPos;L={x:(u[0]-k[0])*s,y:(u[1]-k[1])*s},e.hoverData.justStartedPan=!1}else L={x:b[0]*s,y:b[1]*s};o.panBy(L),o.emit("dragpan"),e.hoverData.dragged=!0}u=e.projectIntoViewport(t.clientX,t.clientY)}else if(1!=g[4]||null!=m&&!m.pannable()){if(m&&m.pannable()&&m.active()&&m.unactivate(),m&&m.grabbed()||f==y||(y&&r(y,["mouseout","tapdragout"],t,{x:u[0],y:u[1]}),f&&r(f,["mouseover","tapdragover"],t,{x:u[0],y:u[1]}),e.hoverData.last=f),m)if(v){if(o.boxSelectionEnabled()&&C)m&&m.grabbed()&&(d(x),m.emit("freeon"),x.emit("free"),e.dragData.didDrag&&(m.emit("dragfreeon"),x.emit("dragfree"))),N();else if(m&&m.grabbed()&&e.nodeIsDraggable(m)){var S=!e.dragData.didDrag;S&&e.redrawHint("eles",!0),e.dragData.didDrag=!0,e.hoverData.draggingEles||c(x,{inDragLayer:!0});var M={x:0,y:0};if(I(b[0])&&I(b[1])&&(M.x+=b[0],M.y+=b[1],S)){var O=e.hoverData.dragDelta;O&&I(O[0])&&I(O[1])&&(M.x+=O[0],M.y+=O[1])}e.hoverData.draggingEles=!0,x.silentShift(M).emit("position drag"),e.redrawHint("drag",!0),e.redraw()}}else!function(){var t=e.hoverData.dragDelta=e.hoverData.dragDelta||[];0===t.length?(t.push(b[0]),t.push(b[1])):(t[0]+=b[0],t[1]+=b[1])}();n=!0}else if(v){if(e.hoverData.dragging||!o.boxSelectionEnabled()||!C&&o.panningEnabled()&&o.userPanningEnabled()){if(!e.hoverData.selecting&&o.panningEnabled()&&o.userPanningEnabled()){a(m,e.hoverData.downs)&&(e.hoverData.dragging=!0,e.hoverData.justStartedPan=!0,g[4]=0,e.data.bgActivePosistion=at(h),e.redrawHint("select",!0),e.redraw())}}else N();m&&m.pannable()&&m.active()&&m.unactivate()}return g[2]=u[0],g[3]=u[1],n?(t.stopPropagation&&t.stopPropagation(),t.preventDefault&&t.preventDefault(),!1):void 0}}),!1),e.registerBinding(t,"mouseup",(function(t){if(e.hoverData.capture){e.hoverData.capture=!1;var a=e.cy,o=e.projectIntoViewport(t.clientX,t.clientY),s=e.selection,l=e.findNearestElement(o[0],o[1],!0,!1),u=e.dragData.possibleDragElements,c=e.hoverData.down,h=i(t);if(e.data.bgActivePosistion&&(e.redrawHint("select",!0),e.redraw()),e.hoverData.tapholdCancelled=!0,e.data.bgActivePosistion=void 0,c&&c.unactivate(),3===e.hoverData.which){var p={originalEvent:t,type:"cxttapend",position:{x:o[0],y:o[1]}};if(c?c.emit(p):a.emit(p),!e.hoverData.cxtDragged){var g={originalEvent:t,type:"cxttap",position:{x:o[0],y:o[1]}};c?c.emit(g):a.emit(g)}e.hoverData.cxtDragged=!1,e.hoverData.which=null}else if(1===e.hoverData.which){if(r(l,["mouseup","tapend","vmouseup"],t,{x:o[0],y:o[1]}),e.dragData.didDrag||e.hoverData.dragged||e.hoverData.selecting||e.hoverData.isOverThresholdDrag||(r(c,["click","tap","vclick"],t,{x:o[0],y:o[1]}),x=!1,t.timeStamp-w<=a.multiClickDebounceTime()?(b&&clearTimeout(b),x=!0,w=null,r(c,["dblclick","dbltap","vdblclick"],t,{x:o[0],y:o[1]})):(b=setTimeout((function(){x||r(c,["oneclick","onetap","voneclick"],t,{x:o[0],y:o[1]})}),a.multiClickDebounceTime()),w=t.timeStamp)),null!=c||e.dragData.didDrag||e.hoverData.selecting||e.hoverData.dragged||i(t)||(a.$(n).unselect(["tapunselect"]),u.length>0&&e.redrawHint("eles",!0),e.dragData.possibleDragElements=u=a.collection()),l!=c||e.dragData.didDrag||e.hoverData.selecting||null!=l&&l._private.selectable&&(e.hoverData.dragging||("additive"===a.selectionType()||h?l.selected()?l.unselect(["tapunselect"]):l.select(["tapselect"]):h||(a.$(n).unmerge(l).unselect(["tapunselect"]),l.select(["tapselect"]))),e.redrawHint("eles",!0)),e.hoverData.selecting){var f=a.collection(e.getAllInBox(s[0],s[1],s[2],s[3]));e.redrawHint("select",!0),f.length>0&&e.redrawHint("eles",!0),a.emit({type:"boxend",originalEvent:t,position:{x:o[0],y:o[1]}});var v=function(e){return e.selectable()&&!e.selected()};"additive"===a.selectionType()||h||a.$(n).unmerge(f).unselect(),f.emit("box").stdFilter(v).select().emit("boxselect"),e.redraw()}if(e.hoverData.dragging&&(e.hoverData.dragging=!1,e.redrawHint("select",!0),e.redrawHint("eles",!0),e.redraw()),!s[4]){e.redrawHint("drag",!0),e.redrawHint("eles",!0);var y=c&&c.grabbed();d(u),y&&(c.emit("freeon"),u.emit("free"),e.dragData.didDrag&&(c.emit("dragfreeon"),u.emit("dragfree")))}}s[4]=0,e.hoverData.down=null,e.hoverData.cxtStarted=!1,e.hoverData.draggingEles=!1,e.hoverData.selecting=!1,e.hoverData.isOverThresholdDrag=!1,e.dragData.didDrag=!1,e.hoverData.dragged=!1,e.hoverData.dragDelta=[],e.hoverData.mdownPos=null,e.hoverData.mdownGPos=null}}),!1);var _,T,D,C,N,A,L,k,S,M,O,P,R,B=function(t){if(!e.scrollingPage){var n=e.cy,r=n.zoom(),i=n.pan(),a=e.projectIntoViewport(t.clientX,t.clientY),o=[a[0]*r+i.x,a[1]*r+i.y];if(e.hoverData.draggingEles||e.hoverData.dragging||e.hoverData.cxtStarted||0!==e.selection[4])t.preventDefault();else if(n.panningEnabled()&&n.userPanningEnabled()&&n.zoomingEnabled()&&n.userZoomingEnabled()){var s;t.preventDefault(),e.data.wheelZooming=!0,clearTimeout(e.data.wheelTimeout),e.data.wheelTimeout=setTimeout((function(){e.data.wheelZooming=!1,e.redrawHint("eles",!0),e.redraw()}),150),s=null!=t.deltaY?t.deltaY/-250:null!=t.wheelDeltaY?t.wheelDeltaY/1e3:t.wheelDelta/1e3,s*=e.wheelSensitivity,1===t.deltaMode&&(s*=33);var l=n.zoom()*Math.pow(10,s);"gesturechange"===t.type&&(l=e.gestureStartZoom*t.scale),n.zoom({level:l,renderedPosition:{x:o[0],y:o[1]}}),n.emit("gesturechange"===t.type?"pinchzoom":"scrollzoom")}}};e.registerBinding(e.container,"wheel",B,!0),e.registerBinding(t,"scroll",(function(t){e.scrollingPage=!0,clearTimeout(e.scrollingPageTimeout),e.scrollingPageTimeout=setTimeout((function(){e.scrollingPage=!1}),250)}),!0),e.registerBinding(e.container,"gesturestart",(function(t){e.gestureStartZoom=e.cy.zoom(),e.hasTouchStarted||t.preventDefault()}),!0),e.registerBinding(e.container,"gesturechange",(function(t){e.hasTouchStarted||B(t)}),!0),e.registerBinding(e.container,"mouseout",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),e.registerBinding(e.container,"mouseover",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var F,z,G,Y,X,V,U,j=function(e,t,n,r){return Math.sqrt((n-e)*(n-e)+(r-t)*(r-t))},q=function(e,t,n,r){return(n-e)*(n-e)+(r-t)*(r-t)};if(e.registerBinding(e.container,"touchstart",F=function(t){if(e.hasTouchStarted=!0,E(t)){g(),e.touchData.capture=!0,e.data.bgActivePosistion=void 0;var n=e.cy,i=e.touchData.now,a=e.touchData.earlier;if(t.touches[0]){var o=e.projectIntoViewport(t.touches[0].clientX,t.touches[0].clientY);i[0]=o[0],i[1]=o[1]}if(t.touches[1]){o=e.projectIntoViewport(t.touches[1].clientX,t.touches[1].clientY);i[2]=o[0],i[3]=o[1]}if(t.touches[2]){o=e.projectIntoViewport(t.touches[2].clientX,t.touches[2].clientY);i[4]=o[0],i[5]=o[1]}if(t.touches[1]){e.touchData.singleTouchMoved=!0,d(e.dragData.touchDragEles);var l=e.findContainerClientCoords();S=l[0],M=l[1],O=l[2],P=l[3],_=t.touches[0].clientX-S,T=t.touches[0].clientY-M,D=t.touches[1].clientX-S,C=t.touches[1].clientY-M,R=0<=_&&_<=O&&0<=D&&D<=O&&0<=T&&T<=P&&0<=C&&C<=P;var u=n.pan(),p=n.zoom();N=j(_,T,D,C),A=q(_,T,D,C),k=[((L=[(_+D)/2,(T+C)/2])[0]-u.x)/p,(L[1]-u.y)/p];if(A<4e4&&!t.touches[2]){var f=e.findNearestElement(i[0],i[1],!0,!0),v=e.findNearestElement(i[2],i[3],!0,!0);return f&&f.isNode()?(f.activate().emit({originalEvent:t,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=f):v&&v.isNode()?(v.activate().emit({originalEvent:t,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=v):n.emit({originalEvent:t,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!0,e.touchData.cxtDragged=!1,e.data.bgActivePosistion=void 0,void e.redraw()}}if(t.touches[2])n.boxSelectionEnabled()&&t.preventDefault();else if(t.touches[1]);else if(t.touches[0]){var y=e.findNearestElements(i[0],i[1],!0,!0),m=y[0];if(null!=m&&(m.activate(),e.touchData.start=m,e.touchData.starts=y,e.nodeIsGrabbable(m))){var b=e.dragData.touchDragEles=n.collection(),x=null;e.redrawHint("eles",!0),e.redrawHint("drag",!0),m.selected()?(x=n.$((function(t){return t.selected()&&e.nodeIsGrabbable(t)})),c(x,{addToList:b})):h(m,{addToList:b}),s(m);var w=function(e){return{originalEvent:t,type:e,position:{x:i[0],y:i[1]}}};m.emit(w("grabon")),x?x.forEach((function(e){e.emit(w("grab"))})):m.emit(w("grab"))}r(m,["touchstart","tapstart","vmousedown"],t,{x:i[0],y:i[1]}),null==m&&(e.data.bgActivePosistion={x:o[0],y:o[1]},e.redrawHint("select",!0),e.redraw()),e.touchData.singleTouchMoved=!1,e.touchData.singleTouchStartTime=+new Date,clearTimeout(e.touchData.tapholdTimeout),e.touchData.tapholdTimeout=setTimeout((function(){!1!==e.touchData.singleTouchMoved||e.pinching||e.touchData.selecting||r(e.touchData.start,["taphold"],t,{x:i[0],y:i[1]})}),e.tapholdDuration)}if(t.touches.length>=1){for(var I=e.touchData.startPosition=[null,null,null,null,null,null],B=0;B=e.touchTapThreshold2}if(n&&e.touchData.cxt){t.preventDefault();var x=t.touches[0].clientX-S,w=t.touches[0].clientY-M,L=t.touches[1].clientX-S,O=t.touches[1].clientY-M,P=q(x,w,L,O);if(P/A>=2.25||P>=22500){e.touchData.cxt=!1,e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var B={originalEvent:t,type:"cxttapend",position:{x:s[0],y:s[1]}};e.touchData.start?(e.touchData.start.unactivate().emit(B),e.touchData.start=null):o.emit(B)}}if(n&&e.touchData.cxt){B={originalEvent:t,type:"cxtdrag",position:{x:s[0],y:s[1]}};e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),e.touchData.start?e.touchData.start.emit(B):o.emit(B),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxtDragged=!0;var F=e.findNearestElement(s[0],s[1],!0,!0);e.touchData.cxtOver&&F===e.touchData.cxtOver||(e.touchData.cxtOver&&e.touchData.cxtOver.emit({originalEvent:t,type:"cxtdragout",position:{x:s[0],y:s[1]}}),e.touchData.cxtOver=F,F&&F.emit({originalEvent:t,type:"cxtdragover",position:{x:s[0],y:s[1]}}))}else if(n&&t.touches[2]&&o.boxSelectionEnabled())t.preventDefault(),e.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,e.touchData.selecting||o.emit({originalEvent:t,type:"boxstart",position:{x:s[0],y:s[1]}}),e.touchData.selecting=!0,e.touchData.didSelect=!0,i[4]=1,i&&0!==i.length&&void 0!==i[0]?(i[2]=(s[0]+s[2]+s[4])/3,i[3]=(s[1]+s[3]+s[5])/3):(i[0]=(s[0]+s[2]+s[4])/3,i[1]=(s[1]+s[3]+s[5])/3,i[2]=(s[0]+s[2]+s[4])/3+1,i[3]=(s[1]+s[3]+s[5])/3+1),e.redrawHint("select",!0),e.redraw();else if(n&&t.touches[1]&&!e.touchData.didSelect&&o.zoomingEnabled()&&o.panningEnabled()&&o.userZoomingEnabled()&&o.userPanningEnabled()){if(t.preventDefault(),e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),ee=e.dragData.touchDragEles){e.redrawHint("drag",!0);for(var z=0;z0&&!e.hoverData.draggingEles&&!e.swipePanning&&null!=e.data.bgActivePosistion&&(e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),e.redraw())}},!1),e.registerBinding(t,"touchcancel",G=function(t){var n=e.touchData.start;e.touchData.capture=!1,n&&n.unactivate()}),e.registerBinding(t,"touchend",Y=function(t){var i=e.touchData.start;if(e.touchData.capture){0===t.touches.length&&(e.touchData.capture=!1),t.preventDefault();var a=e.selection;e.swipePanning=!1,e.hoverData.draggingEles=!1;var o,s=e.cy,l=s.zoom(),u=e.touchData.now,c=e.touchData.earlier;if(t.touches[0]){var h=e.projectIntoViewport(t.touches[0].clientX,t.touches[0].clientY);u[0]=h[0],u[1]=h[1]}if(t.touches[1]){h=e.projectIntoViewport(t.touches[1].clientX,t.touches[1].clientY);u[2]=h[0],u[3]=h[1]}if(t.touches[2]){h=e.projectIntoViewport(t.touches[2].clientX,t.touches[2].clientY);u[4]=h[0],u[5]=h[1]}if(i&&i.unactivate(),e.touchData.cxt){if(o={originalEvent:t,type:"cxttapend",position:{x:u[0],y:u[1]}},i?i.emit(o):s.emit(o),!e.touchData.cxtDragged){var p={originalEvent:t,type:"cxttap",position:{x:u[0],y:u[1]}};i?i.emit(p):s.emit(p)}return e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!1,e.touchData.start=null,void e.redraw()}if(!t.touches[2]&&s.boxSelectionEnabled()&&e.touchData.selecting){e.touchData.selecting=!1;var g=s.collection(e.getAllInBox(a[0],a[1],a[2],a[3]));a[0]=void 0,a[1]=void 0,a[2]=void 0,a[3]=void 0,a[4]=0,e.redrawHint("select",!0),s.emit({type:"boxend",originalEvent:t,position:{x:u[0],y:u[1]}});g.emit("box").stdFilter((function(e){return e.selectable()&&!e.selected()})).select().emit("boxselect"),g.nonempty()&&e.redrawHint("eles",!0),e.redraw()}if(null!=i&&i.unactivate(),t.touches[2])e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);else if(t.touches[1]);else if(t.touches[0]);else if(!t.touches[0]){e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var f=e.dragData.touchDragEles;if(null!=i){var v=i._private.grabbed;d(f),e.redrawHint("drag",!0),e.redrawHint("eles",!0),v&&(i.emit("freeon"),f.emit("free"),e.dragData.didDrag&&(i.emit("dragfreeon"),f.emit("dragfree"))),r(i,["touchend","tapend","vmouseup","tapdragout"],t,{x:u[0],y:u[1]}),i.unactivate(),e.touchData.start=null}else{var y=e.findNearestElement(u[0],u[1],!0,!0);r(y,["touchend","tapend","vmouseup","tapdragout"],t,{x:u[0],y:u[1]})}var m=e.touchData.startPosition[0]-u[0],b=m*m,x=e.touchData.startPosition[1]-u[1],w=(b+x*x)*l*l;e.touchData.singleTouchMoved||(i||s.$(":selected").unselect(["tapunselect"]),r(i,["tap","vclick"],t,{x:u[0],y:u[1]}),X=!1,t.timeStamp-U<=s.multiClickDebounceTime()?(V&&clearTimeout(V),X=!0,U=null,r(i,["dbltap","vdblclick"],t,{x:u[0],y:u[1]})):(V=setTimeout((function(){X||r(i,["onetap","voneclick"],t,{x:u[0],y:u[1]})}),s.multiClickDebounceTime()),U=t.timeStamp)),null!=i&&!e.dragData.didDrag&&i._private.selectable&&w2){for(var A=[u[0],u[1]],L=Math.pow(A[0]-e,2)+Math.pow(A[1]-t,2),k=1;k0)return f[0]}return null},d=Object.keys(c),p=0;p0?l:Tt(i,a,e,t,n,r,o)},checkPoint:function(e,t,n,r,i,a,o){var s=Xt(r,i),l=2*s;if(kt(e,t,this.points,a,o,r,i-l,[0,-1],n))return!0;if(kt(e,t,this.points,a,o,r-l,i,[0,-1],n))return!0;var u=r/2+2*n,c=i/2+2*n;return!!Lt(e,t,[a-u,o-c,a-u,o,a+u,o,a+u,o-c])||(!!Mt(e,t,l,l,a+r/2-s,o+i/2-s,n)||!!Mt(e,t,l,l,a-r/2+s,o+i/2-s,n))}}},bs.registerNodeShapes=function(){var e=this.nodeShapes={},t=this;this.generateEllipse(),this.generatePolygon("triangle",zt(3,0)),this.generateRoundPolygon("round-triangle",zt(3,0)),this.generatePolygon("rectangle",zt(4,0)),e.square=e.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle();var n=[0,1,1,0,0,-1,-1,0];this.generatePolygon("diamond",n),this.generateRoundPolygon("round-diamond",n),this.generatePolygon("pentagon",zt(5,0)),this.generateRoundPolygon("round-pentagon",zt(5,0)),this.generatePolygon("hexagon",zt(6,0)),this.generateRoundPolygon("round-hexagon",zt(6,0)),this.generatePolygon("heptagon",zt(7,0)),this.generateRoundPolygon("round-heptagon",zt(7,0)),this.generatePolygon("octagon",zt(8,0)),this.generateRoundPolygon("round-octagon",zt(8,0));var r=new Array(20),i=Yt(5,0),a=Yt(5,Math.PI/5),o=.5*(3-Math.sqrt(5));o*=1.57;for(var s=0;s=e.deqFastCost*f)break}else if(i){if(p>=e.deqCost*l||p>=e.deqAvgCost*s)break}else if(g>=e.deqNoDrawCost*Ts)break;var v=e.deq(t,h,c);if(!(v.length>0))break;for(var y=0;y0&&(e.onDeqd(t,u),!i&&e.shouldRedraw(t,u,h,c)&&r())}),i(t))}}},Cs=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:_e;f(this,e),this.idsByKey=new Fe,this.keyForId=new Fe,this.cachesByLvl=new Fe,this.lvls=[],this.getKey=t,this.doesEleInvalidateKey=n}return y(e,[{key:"getIdsFor",value:function(e){null==e&&Ce("Can not get id list for null key");var t=this.idsByKey,n=this.idsByKey.get(e);return n||(n=new Ge,t.set(e,n)),n}},{key:"addIdForKey",value:function(e,t){null!=e&&this.getIdsFor(e).add(t)}},{key:"deleteIdForKey",value:function(e,t){null!=e&&this.getIdsFor(e).delete(t)}},{key:"getNumberOfIdsForKey",value:function(e){return null==e?0:this.getIdsFor(e).size}},{key:"updateKeyMappingFor",value:function(e){var t=e.id(),n=this.keyForId.get(t),r=this.getKey(e);this.deleteIdForKey(n,t),this.addIdForKey(r,t),this.keyForId.set(t,r)}},{key:"deleteKeyMappingFor",value:function(e){var t=e.id(),n=this.keyForId.get(t);this.deleteIdForKey(n,t),this.keyForId.delete(t)}},{key:"keyHasChangedFor",value:function(e){var t=e.id();return this.keyForId.get(t)!==this.getKey(e)}},{key:"isInvalid",value:function(e){return this.keyHasChangedFor(e)||this.doesEleInvalidateKey(e)}},{key:"getCachesAt",value:function(e){var t=this.cachesByLvl,n=this.lvls,r=t.get(e);return r||(r=new Fe,t.set(e,r),n.push(e)),r}},{key:"getCache",value:function(e,t){return this.getCachesAt(t).get(e)}},{key:"get",value:function(e,t){var n=this.getKey(e),r=this.getCache(n,t);return null!=r&&this.updateKeyMappingFor(e),r}},{key:"getForCachedKey",value:function(e,t){var n=this.keyForId.get(e.id());return this.getCache(n,t)}},{key:"hasCache",value:function(e,t){return this.getCachesAt(t).has(e)}},{key:"has",value:function(e,t){var n=this.getKey(e);return this.hasCache(n,t)}},{key:"setCache",value:function(e,t,n){n.key=e,this.getCachesAt(t).set(e,n)}},{key:"set",value:function(e,t,n){var r=this.getKey(e);this.setCache(r,t,n),this.updateKeyMappingFor(e)}},{key:"deleteCache",value:function(e,t){this.getCachesAt(t).delete(e)}},{key:"delete",value:function(e,t){var n=this.getKey(e);this.deleteCache(n,t)}},{key:"invalidateKey",value:function(e){var t=this;this.lvls.forEach((function(n){return t.deleteCache(e,n)}))}},{key:"invalidate",value:function(e){var t=e.id(),n=this.keyForId.get(t);this.deleteKeyMappingFor(e);var r=this.doesEleInvalidateKey(e);return r&&this.invalidateKey(n),r||0===this.getNumberOfIdsForKey(n)}}]),e}(),Ns={dequeue:"dequeue",downscale:"downscale",highQuality:"highQuality"},As=Me({getKey:null,doesEleInvalidateKey:_e,drawElement:null,getBoundingBox:null,getRotationPoint:null,getRotationOffset:null,isVisible:Ee,allowEdgeTxrCaching:!0,allowParentTxrCaching:!0}),Ls=function(e,t){var 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g=t.pan(),f={x:g.x*l,y:g.y*l};l*=t.zoom(),d.translate(f.x,f.y),d.scale(l,l),this.drawElements(d,p),d.scale(1/l,1/l),d.translate(-f.x,-f.y)}e.bg&&(d.globalCompositeOperation="destination-over",d.fillStyle=e.bg,d.rect(0,0,i,a),d.fill())}return h},cl.png=function(e){return dl(e,this.bufferCanvasImage(e),"image/png")},cl.jpg=function(e){return dl(e,this.bufferCanvasImage(e),"image/jpeg")};var pl={nodeShapeImpl:function(e,t,n,r,i,a,o){switch(e){case"ellipse":return this.drawEllipsePath(t,n,r,i,a);case"polygon":return this.drawPolygonPath(t,n,r,i,a,o);case"round-polygon":return this.drawRoundPolygonPath(t,n,r,i,a,o);case"roundrectangle":case"round-rectangle":return this.drawRoundRectanglePath(t,n,r,i,a);case"cutrectangle":case"cut-rectangle":return this.drawCutRectanglePath(t,n,r,i,a);case"bottomroundrectangle":case"bottom-round-rectangle":return this.drawBottomRoundRectanglePath(t,n,r,i,a);case"barrel":return this.drawBarrelPath(t,n,r,i,a)}}},gl=vl,fl=vl.prototype;function vl(e){var t=this;t.data={canvases:new Array(fl.CANVAS_LAYERS),contexts:new Array(fl.CANVAS_LAYERS),canvasNeedsRedraw:new Array(fl.CANVAS_LAYERS),bufferCanvases:new Array(fl.BUFFER_COUNT),bufferContexts:new Array(fl.CANVAS_LAYERS)};var n="-webkit-tap-highlight-color",r="rgba(0,0,0,0)";t.data.canvasContainer=document.createElement("div");var i=t.data.canvasContainer.style;t.data.canvasContainer.style[n]=r,i.position="relative",i.zIndex="0",i.overflow="hidden";var a=e.cy.container();a.appendChild(t.data.canvasContainer),a.style[n]=r;var o={"-webkit-user-select":"none","-moz-user-select":"-moz-none","user-select":"none","-webkit-tap-highlight-color":"rgba(0,0,0,0)","outline-style":"none"};E&&E.userAgent.match(/msie|trident|edge/i)&&(o["-ms-touch-action"]="none",o["touch-action"]="none");for(var s=0;s{e.exports=n(73328)},73328:function(e,t){var n,r,i;(function(){var a,o,s,l,u,c,h,d,p,g,f,v,y,m,b;s=Math.floor,g=Math.min,o=function(e,t){return et?1:0},p=function(e,t,n,r,i){var 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n=this.rect.y;n>o.WORLD_BOUNDARY?n=o.WORLD_BOUNDARY:n<-o.WORLD_BOUNDARY&&(n=-o.WORLD_BOUNDARY);var r=new l(t,n),i=e.inverseTransformPoint(r);this.setLocation(i.x,i.y)},u.prototype.getLeft=function(){return this.rect.x},u.prototype.getRight=function(){return this.rect.x+this.rect.width},u.prototype.getTop=function(){return this.rect.y},u.prototype.getBottom=function(){return this.rect.y+this.rect.height},u.prototype.getParent=function(){return null==this.owner?null:this.owner.getParent()},e.exports=u},function(e,t,n){"use strict";function r(e,t){null==e&&null==t?(this.x=0,this.y=0):(this.x=e,this.y=t)}r.prototype.getX=function(){return this.x},r.prototype.getY=function(){return this.y},r.prototype.setX=function(e){this.x=e},r.prototype.setY=function(e){this.y=e},r.prototype.getDifference=function(e){return new DimensionD(this.x-e.x,this.y-e.y)},r.prototype.getCopy=function(){return new r(this.x,this.y)},r.prototype.translate=function(e){return 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this.isConnected},d.prototype.add=function(e,t,n){if(null==t&&null==n){var r=e;if(null==this.graphManager)throw"Graph has no graph mgr!";if(this.getNodes().indexOf(r)>-1)throw"Node already in graph!";return r.owner=this,this.getNodes().push(r),r}var i=e;if(!(this.getNodes().indexOf(t)>-1&&this.getNodes().indexOf(n)>-1))throw"Source or target not in graph!";if(t.owner!=n.owner||t.owner!=this)throw"Both owners must be this graph!";return t.owner!=n.owner?null:(i.source=t,i.target=n,i.isInterGraph=!1,this.getEdges().push(i),t.edges.push(i),n!=t&&n.edges.push(i),i)},d.prototype.remove=function(e){var t=e;if(e instanceof s){if(null==t)throw"Node is null!";if(null==t.owner||t.owner!=this)throw"Owner graph is invalid!";if(null==this.graphManager)throw"Owner graph manager is invalid!";for(var n=t.edges.slice(),r=n.length,i=0;i-1&&c>-1))throw"Source and/or target doesn't know this edge!";if(a.source.edges.splice(u,1),a.target!=a.source&&a.target.edges.splice(c,1),-1==(o=a.source.owner.getEdges().indexOf(a)))throw"Not in owner's edge list!";a.source.owner.getEdges().splice(o,1)}},d.prototype.updateLeftTop=function(){for(var e,t,n,r=i.MAX_VALUE,a=i.MAX_VALUE,o=this.getNodes(),s=o.length,l=0;l(e=u.getTop())&&(r=e),a>(t=u.getLeft())&&(a=t)}return r==i.MAX_VALUE?null:(n=null!=o[0].getParent().paddingLeft?o[0].getParent().paddingLeft:this.margin,this.left=a-n,this.top=r-n,new c(this.left,this.top))},d.prototype.updateBounds=function(e){for(var t,n,r,a,o,s=i.MAX_VALUE,l=-i.MAX_VALUE,c=i.MAX_VALUE,h=-i.MAX_VALUE,d=this.nodes,p=d.length,g=0;g(t=f.getLeft())&&(s=t),l<(n=f.getRight())&&(l=n),c>(r=f.getTop())&&(c=r),h<(a=f.getBottom())&&(h=a)}var v=new u(s,c,l-s,h-c);s==i.MAX_VALUE&&(this.left=this.parent.getLeft(),this.right=this.parent.getRight(),this.top=this.parent.getTop(),this.bottom=this.parent.getBottom()),o=null!=d[0].getParent().paddingLeft?d[0].getParent().paddingLeft:this.margin,this.left=v.x-o,this.right=v.x+v.width+o,this.top=v.y-o,this.bottom=v.y+v.height+o},d.calculateBounds=function(e){for(var t,n,r,a,o=i.MAX_VALUE,s=-i.MAX_VALUE,l=i.MAX_VALUE,c=-i.MAX_VALUE,h=e.length,d=0;d(t=p.getLeft())&&(o=t),s<(n=p.getRight())&&(s=n),l>(r=p.getTop())&&(l=r),c<(a=p.getBottom())&&(c=a)}return new u(o,l,s-o,c-l)},d.prototype.getInclusionTreeDepth=function(){return this==this.graphManager.getRoot()?1:this.parent.getInclusionTreeDepth()},d.prototype.getEstimatedSize=function(){if(this.estimatedSize==i.MIN_VALUE)throw"assert failed";return this.estimatedSize},d.prototype.calcEstimatedSize=function(){for(var e=0,t=this.nodes,n=t.length,r=0;r=this.nodes.length){var l=0;i.forEach((function(t){t.owner==e&&l++})),l==this.nodes.length&&(this.isConnected=!0)}}else this.isConnected=!0},e.exports=d},function(e,t,n){"use strict";var r,i=n(1);function a(e){r=n(5),this.layout=e,this.graphs=[],this.edges=[]}a.prototype.addRoot=function(){var e=this.layout.newGraph(),t=this.layout.newNode(null),n=this.add(e,t);return this.setRootGraph(n),this.rootGraph},a.prototype.add=function(e,t,n,r,i){if(null==n&&null==r&&null==i){if(null==e)throw"Graph is null!";if(null==t)throw"Parent node is null!";if(this.graphs.indexOf(e)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(e),null!=e.parent)throw"Already has a parent!";if(null!=t.child)throw"Already has a child!";return e.parent=t,t.child=e,e}i=n,n=e;var a=(r=t).getOwner(),o=i.getOwner();if(null==a||a.getGraphManager()!=this)throw"Source not in this graph mgr!";if(null==o||o.getGraphManager()!=this)throw"Target not in this graph mgr!";if(a==o)return n.isInterGraph=!1,a.add(n,r,i);if(n.isInterGraph=!0,n.source=r,n.target=i,this.edges.indexOf(n)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(n),null==n.source||null==n.target)throw"Edge source and/or target is null!";if(-1!=n.source.edges.indexOf(n)||-1!=n.target.edges.indexOf(n))throw"Edge already in source and/or target incidency list!";return n.source.edges.push(n),n.target.edges.push(n),n},a.prototype.remove=function(e){if(e instanceof r){var t=e;if(t.getGraphManager()!=this)throw"Graph not in this graph mgr";if(t!=this.rootGraph&&(null==t.parent||t.parent.graphManager!=this))throw"Invalid parent node!";for(var n,a=[],o=(a=a.concat(t.getEdges())).length,s=0;s=t.getRight()?n[0]+=Math.min(t.getX()-e.getX(),e.getRight()-t.getRight()):t.getX()<=e.getX()&&t.getRight()>=e.getRight()&&(n[0]+=Math.min(e.getX()-t.getX(),t.getRight()-e.getRight())),e.getY()<=t.getY()&&e.getBottom()>=t.getBottom()?n[1]+=Math.min(t.getY()-e.getY(),e.getBottom()-t.getBottom()):t.getY()<=e.getY()&&t.getBottom()>=e.getBottom()&&(n[1]+=Math.min(e.getY()-t.getY(),t.getBottom()-e.getBottom()));var a=Math.abs((t.getCenterY()-e.getCenterY())/(t.getCenterX()-e.getCenterX()));t.getCenterY()===e.getCenterY()&&t.getCenterX()===e.getCenterX()&&(a=1);var o=a*n[0],s=n[1]/a;n[0]o)return n[0]=r,n[1]=l,n[2]=a,n[3]=b,!1;if(ia)return n[0]=s,n[1]=i,n[2]=y,n[3]=o,!1;if(ra?(n[0]=c,n[1]=h,_=!0):(n[0]=u,n[1]=l,_=!0):D===N&&(r>a?(n[0]=s,n[1]=l,_=!0):(n[0]=d,n[1]=h,_=!0)),-C===N?a>r?(n[2]=m,n[3]=b,T=!0):(n[2]=y,n[3]=v,T=!0):C===N&&(a>r?(n[2]=f,n[3]=v,T=!0):(n[2]=x,n[3]=b,T=!0)),_&&T)return!1;if(r>a?i>o?(A=this.getCardinalDirection(D,N,4),L=this.getCardinalDirection(C,N,2)):(A=this.getCardinalDirection(-D,N,3),L=this.getCardinalDirection(-C,N,1)):i>o?(A=this.getCardinalDirection(-D,N,1),L=this.getCardinalDirection(-C,N,3)):(A=this.getCardinalDirection(D,N,2),L=this.getCardinalDirection(C,N,4)),!_)switch(A){case 1:S=l,k=r+-g/N,n[0]=k,n[1]=S;break;case 2:k=d,S=i+p*N,n[0]=k,n[1]=S;break;case 3:S=h,k=r+g/N,n[0]=k,n[1]=S;break;case 4:k=c,S=i+-p*N,n[0]=k,n[1]=S}if(!T)switch(L){case 1:M=v,I=a+-E/N,n[2]=I,n[3]=M;break;case 2:I=x,M=o+w*N,n[2]=I,n[3]=M;break;case 3:M=b,I=a+E/N,n[2]=I,n[3]=M;break;case 4:I=m,M=o+-w*N,n[2]=I,n[3]=M}}return!1},i.getCardinalDirection=function(e,t,n){return e>t?n:1+n%4},i.getIntersection=function(e,t,n,i){if(null==i)return this.getIntersection2(e,t,n);var a,o,s,l,u,c,h,d=e.x,p=e.y,g=t.x,f=t.y,v=n.x,y=n.y,m=i.x,b=i.y;return 0==(h=(a=f-p)*(l=v-m)-(o=b-y)*(s=d-g))?null:new r((s*(c=m*y-v*b)-l*(u=g*p-d*f))/h,(o*u-a*c)/h)},i.angleOfVector=function(e,t,n,r){var i=void 0;return e!==n?(i=Math.atan((r-t)/(n-e)),n0?1:e<0?-1:0},r.floor=function(e){return e<0?Math.ceil(e):Math.floor(e)},r.ceil=function(e){return e<0?Math.floor(e):Math.ceil(e)},e.exports=r},function(e,t,n){"use strict";function r(){}r.MAX_VALUE=2147483647,r.MIN_VALUE=-2147483648,e.exports=r},function(e,t,n){"use strict";var r=function(){function e(e,t){for(var n=0;n0&&t;){for(s.push(u[0]);s.length>0&&t;){var c=s[0];s.splice(0,1),o.add(c);var h=c.getEdges();for(a=0;a-1&&u.splice(f,1)}o=new Set,l=new Map}else e=[]}return e},d.prototype.createDummyNodesForBendpoints=function(e){for(var t=[],n=e.source,r=this.graphManager.calcLowestCommonAncestor(e.source,e.target),i=0;i0){for(var i=this.edgeToDummyNodes.get(n),a=0;a=0&&t.splice(h,1),c.getNeighborsList().forEach((function(e){if(n.indexOf(e)<0){var t=r.get(e)-1;1==t&&l.push(e),r.set(e,t)}}))}n=n.concat(l),1!=t.length&&2!=t.length||(i=!0,a=t[0])}return a},d.prototype.setGraphManager=function(e){this.graphManager=e},e.exports=d},function(e,t,n){"use strict";function r(){}r.seed=1,r.x=0,r.nextDouble=function(){return r.x=1e4*Math.sin(r.seed++),r.x-Math.floor(r.x)},e.exports=r},function(e,t,n){"use strict";var r=n(4);function i(e,t){this.lworldOrgX=0,this.lworldOrgY=0,this.ldeviceOrgX=0,this.ldeviceOrgY=0,this.lworldExtX=1,this.lworldExtY=1,this.ldeviceExtX=1,this.ldeviceExtY=1}i.prototype.getWorldOrgX=function(){return this.lworldOrgX},i.prototype.setWorldOrgX=function(e){this.lworldOrgX=e},i.prototype.getWorldOrgY=function(){return this.lworldOrgY},i.prototype.setWorldOrgY=function(e){this.lworldOrgY=e},i.prototype.getWorldExtX=function(){return this.lworldExtX},i.prototype.setWorldExtX=function(e){this.lworldExtX=e},i.prototype.getWorldExtY=function(){return this.lworldExtY},i.prototype.setWorldExtY=function(e){this.lworldExtY=e},i.prototype.getDeviceOrgX=function(){return this.ldeviceOrgX},i.prototype.setDeviceOrgX=function(e){this.ldeviceOrgX=e},i.prototype.getDeviceOrgY=function(){return this.ldeviceOrgY},i.prototype.setDeviceOrgY=function(e){this.ldeviceOrgY=e},i.prototype.getDeviceExtX=function(){return this.ldeviceExtX},i.prototype.setDeviceExtX=function(e){this.ldeviceExtX=e},i.prototype.getDeviceExtY=function(){return this.ldeviceExtY},i.prototype.setDeviceExtY=function(e){this.ldeviceExtY=e},i.prototype.transformX=function(e){var t=0,n=this.lworldExtX;return 0!=n&&(t=this.ldeviceOrgX+(e-this.lworldOrgX)*this.ldeviceExtX/n),t},i.prototype.transformY=function(e){var t=0,n=this.lworldExtY;return 0!=n&&(t=this.ldeviceOrgY+(e-this.lworldOrgY)*this.ldeviceExtY/n),t},i.prototype.inverseTransformX=function(e){var t=0,n=this.ldeviceExtX;return 0!=n&&(t=this.lworldOrgX+(e-this.ldeviceOrgX)*this.lworldExtX/n),t},i.prototype.inverseTransformY=function(e){var t=0,n=this.ldeviceExtY;return 0!=n&&(t=this.lworldOrgY+(e-this.ldeviceOrgY)*this.lworldExtY/n),t},i.prototype.inverseTransformPoint=function(e){return new r(this.inverseTransformX(e.x),this.inverseTransformY(e.y))},e.exports=i},function(e,t,n){"use strict";var r=n(15),i=n(7),a=n(0),o=n(8),s=n(9);function l(){r.call(this),this.useSmartIdealEdgeLengthCalculation=i.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION,this.idealEdgeLength=i.DEFAULT_EDGE_LENGTH,this.springConstant=i.DEFAULT_SPRING_STRENGTH,this.repulsionConstant=i.DEFAULT_REPULSION_STRENGTH,this.gravityConstant=i.DEFAULT_GRAVITY_STRENGTH,this.compoundGravityConstant=i.DEFAULT_COMPOUND_GRAVITY_STRENGTH,this.gravityRangeFactor=i.DEFAULT_GRAVITY_RANGE_FACTOR,this.compoundGravityRangeFactor=i.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR,this.displacementThresholdPerNode=3*i.DEFAULT_EDGE_LENGTH/100,this.coolingFactor=i.DEFAULT_COOLING_FACTOR_INCREMENTAL,this.initialCoolingFactor=i.DEFAULT_COOLING_FACTOR_INCREMENTAL,this.totalDisplacement=0,this.oldTotalDisplacement=0,this.maxIterations=i.MAX_ITERATIONS}for(var u in l.prototype=Object.create(r.prototype),r)l[u]=r[u];l.prototype.initParameters=function(){r.prototype.initParameters.call(this,arguments),this.totalIterations=0,this.notAnimatedIterations=0,this.useFRGridVariant=i.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION,this.grid=[]},l.prototype.calcIdealEdgeLengths=function(){for(var e,t,n,r,o,s,l=this.getGraphManager().getAllEdges(),u=0;ui.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*i.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(e-i.ADAPTATION_LOWER_NODE_LIMIT)/(i.ADAPTATION_UPPER_NODE_LIMIT-i.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-i.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=i.MAX_NODE_DISPLACEMENT_INCREMENTAL):(e>i.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(i.COOLING_ADAPTATION_FACTOR,1-(e-i.ADAPTATION_LOWER_NODE_LIMIT)/(i.ADAPTATION_UPPER_NODE_LIMIT-i.ADAPTATION_LOWER_NODE_LIMIT)*(1-i.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=i.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(5*this.getAllNodes().length,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},l.prototype.calcSpringForces=function(){for(var e,t=this.getAllEdges(),n=0;n0&&void 0!==arguments[0])||arguments[0],s=arguments.length>1&&void 0!==arguments[1]&&arguments[1],l=this.getAllNodes();if(this.useFRGridVariant)for(this.totalIterations%i.GRID_CALCULATION_CHECK_PERIOD==1&&o&&this.updateGrid(),a=new Set,e=0;e(l=t.getEstimatedSize()*this.gravityRangeFactor)||s>l)&&(e.gravitationForceX=-this.gravityConstant*i,e.gravitationForceY=-this.gravityConstant*a):(o>(l=t.getEstimatedSize()*this.compoundGravityRangeFactor)||s>l)&&(e.gravitationForceX=-this.gravityConstant*i*this.compoundGravityConstant,e.gravitationForceY=-this.gravityConstant*a*this.compoundGravityConstant)},l.prototype.isConverged=function(){var e,t=!1;return this.totalIterations>this.maxIterations/3&&(t=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),e=this.totalDisplacement=s.length||u>=s[0].length))for(var c=0;ce}}]),e}();e.exports=a},function(e,t,n){"use strict";var r=function(){function e(e,t){for(var n=0;n2&&void 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Our brains then need to separate out what we want to hear (the target speaker) from the other sounds. This is especially difficult when the competing sounds are speech. This has the quaint name, The Cocktail Party Problem (Cherry, 1953). We don\u2019t go to many cocktail parties, but we encounter lots of times where the The Cocktail Party Problem is important. Hearing a conversation in a busy restaurant, trying to understand a loved one while the television is on or hearing the radio in the kitchen when the kettle is boiling, are just a few examples."}),"\n",(0,n.jsx)(t.p,{children:"Difficulty in picking out speech in noise is really common if you have a hearing loss. Indeed, it\u2019s often when people have problems doing this that they realise they have a hearing loss."}),"\n",(0,n.jsx)(t.pre,{children:(0,n.jsx)(t.code,{children:"\u201cHearing aids don\u2019t work when there is a lot of background noise. 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However, an audiogram only partly explains your experience with speech in background noise (Heinrich et al. 2015), because it only measures the quietest sound you can hear. For example, picking out speech from noise is a complex task for the brain to perform, and this cognitive ability isn\u2019t assessed by an audiogram. In addition, there are other factors that are important such as personality, motivation, attitude toward hearing aids and prior hearing aid experience."}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{alt:"Audiogram",src:i(96801).Z+"",width:"768",height:"723"})}),"\n",(0,n.jsx)(t.p,{children:"An audiogram displaying a \u201cski slope\u201d pattern that is a sign of age-related hearing loss (source: Ronan and Barrett, BMJ, 2014).\nSpeech-in-noise tests get closer to the real-life problem a hearing aid is trying to solve. Listeners listen to speech in the presence of noise and write down what words they hear. More words correct show an increase in the ability to understand speech in specific noisy situations when listeners are wearing their hearing aid (aided) relative to when they are not (unaided). Of course, listening conditions in the clinic differ from real-life conditions."}),"\n",(0,n.jsx)(t.p,{children:"Currently, while speech-in-noise test scores can be useful when fine-tuning a hearing aid, even then many users are disappointed about the performance of their hearing aids. Through our challenges, we hope to improve this situation, whether you go to cocktail parties or not."}),"\n",(0,n.jsx)(t.p,{children:"What\u2019s your experience with speech in noise? Please comment below."}),"\n",(0,n.jsx)(t.h2,{id:"references",children:"References"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:["Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. ",(0,n.jsx)(t.em,{children:"International Journal of Audiology"}),", 47(sup2), S53-S71."]}),"\n",(0,n.jsxs)(t.li,{children:["Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. ",(0,n.jsx)(t.em,{children:"The Journal of the Acoustical Society of America"}),", 25(5), 975-979."]}),"\n",(0,n.jsxs)(t.li,{children:["Heinrich, A., Henshaw, H., and Ferguson, M. A. (2015). The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech perception tests. ",(0,n.jsx)(t.em,{children:"Frontiers in Psychology"}),", 6, 782."]}),"\n",(0,n.jsxs)(t.li,{children:["Vestergaard Knudsen, L., \xd6berg, M., Nielsen, C., Naylor, G., and Kramer, S. E. (2010). Factors influencing help seeking, hearing aid uptake, hearing aid use and satisfaction with hearing aids: A review of the literature. ",(0,n.jsx)(t.em,{children:"Trends in Amplification"}),", 14(3), 127-154."]}),"\n",(0,n.jsxs)(t.li,{children:["Kochkin, S. (2000). MarkeTrak V: \u201cWhy my hearing aids are in the drawer\u201d The consumers\u2019 perspective. ",(0,n.jsx)(t.em,{children:"The Hearing Journal"}),", 53(2), 34-36."]}),"\n"]}),"\n",(0,n.jsx)(t.h2,{id:"credits",children:"Credits"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsx)(t.li,{children:"Photo of Cocktail party by Ross CC BY-NC-SA 2.0"}),"\n",(0,n.jsxs)(t.li,{children:["Ronan, N., & Barrett, G. (2014). A 68 year old woman with deteriorating hearing. BMJ, 348, g2984. ",(0,n.jsx)(t.a,{href:"https://www.bmj.com/content/348/bmj.g2984",children:"https://www.bmj.com/content/348/bmj.g2984"})]}),"\n"]})]})}function d(e={}){const{wrapper:t}={...(0,r.a)(),...e.components};return t?(0,n.jsx)(t,{...e,children:(0,n.jsx)(c,{...e})}):c(e)}},96801:(e,t,i)=>{i.d(t,{Z:()=>n});const n=i.p+"assets/images/audiogram-f89e3fbfbf8f897f2050c0b8ab88dfe4.jpg"},68224:(e,t,i)=>{i.d(t,{Z:()=>n});const n=i.p+"assets/images/cocktail_party-71794223ff171bbb15b0ac66be4b4414.jpeg"},11151:(e,t,i)=>{i.d(t,{Z:()=>o,a:()=>s});var n=i(67294);const r={},a=n.createContext(r);function s(e){const t=n.useContext(a);return n.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function o(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:s(e.components),n.createElement(a.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/1270af74.ad6efee9.js b/assets/js/1270af74.ad6efee9.js new file mode 100644 index 000000000..b820c7e7b --- /dev/null +++ b/assets/js/1270af74.ad6efee9.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[7272],{57380:(e,t,i)=>{i.r(t),i.d(t,{assets:()=>h,contentTitle:()=>s,default:()=>d,frontMatter:()=>a,metadata:()=>o,toc:()=>l});var n=i(17624),r=i(4552);const a={slug:"The speech-in-noise problem",title:"The speech-in-noise problem",authors:[{name:"Simone Graetzer",title:"Clarity Team Member",url:"https://www.salford.ac.uk/our-staff/simone-graetzer",image_url:"https://avatars.githubusercontent.com/sgraetzer"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox"}],image:"https://i.imgur.com/mErPwqL.png",tags:["cocktail party","hearing","hearing aid","noise","speech"]},s=void 0,o={permalink:"/blog/The speech-in-noise problem",source:"@site/blog/2020-06-18-the-speech-in-noise-problem.mdx",title:"The speech-in-noise problem",description:"People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.",date:"2020-06-18T00:00:00.000Z",formattedDate:"June 18, 2020",tags:[{label:"cocktail party",permalink:"/blog/tags/cocktail-party"},{label:"hearing",permalink:"/blog/tags/hearing"},{label:"hearing aid",permalink:"/blog/tags/hearing-aid"},{label:"noise",permalink:"/blog/tags/noise"},{label:"speech",permalink:"/blog/tags/speech"}],readingTime:3.725,hasTruncateMarker:!0,authors:[{name:"Simone Graetzer",title:"Clarity Team Member",url:"https://www.salford.ac.uk/our-staff/simone-graetzer",image_url:"https://avatars.githubusercontent.com/sgraetzer",imageURL:"https://avatars.githubusercontent.com/sgraetzer"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"The speech-in-noise problem",title:"The speech-in-noise problem",authors:[{name:"Simone Graetzer",title:"Clarity Team Member",url:"https://www.salford.ac.uk/our-staff/simone-graetzer",image_url:"https://avatars.githubusercontent.com/sgraetzer",imageURL:"https://avatars.githubusercontent.com/sgraetzer"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],image:"https://i.imgur.com/mErPwqL.png",tags:["cocktail party","hearing","hearing aid","noise","speech"]},unlisted:!1,prevItem:{title:"Sounds for round one",permalink:"/blog/Sounds"},nextItem:{title:"Why use machine learning challenges for hearing aids?",permalink:"/blog/Why use machine learning challenges for hearing aids"}},h={authorsImageUrls:[void 0,void 0]},l=[{value:"References",id:"references",level:2},{value:"Credits",id:"credits",level:2}];function c(e){const t={a:"a",code:"code",em:"em",h2:"h2",img:"img",li:"li",p:"p",pre:"pre",ul:"ul",...(0,r.M)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(t.p,{children:"People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address."}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{alt:"cocktail party",src:i(26628).c+"",width:"800",height:"600"})}),"\n",(0,n.jsx)(t.p,{children:"It\u2019s common for us to hear sounds coming simultaneously from different sources. Our brains then need to separate out what we want to hear (the target speaker) from the other sounds. This is especially difficult when the competing sounds are speech. This has the quaint name, The Cocktail Party Problem (Cherry, 1953). We don\u2019t go to many cocktail parties, but we encounter lots of times where the The Cocktail Party Problem is important. Hearing a conversation in a busy restaurant, trying to understand a loved one while the television is on or hearing the radio in the kitchen when the kettle is boiling, are just a few examples."}),"\n",(0,n.jsx)(t.p,{children:"Difficulty in picking out speech in noise is really common if you have a hearing loss. Indeed, it\u2019s often when people have problems doing this that they realise they have a hearing loss."}),"\n",(0,n.jsx)(t.pre,{children:(0,n.jsx)(t.code,{children:"\u201cHearing aids don\u2019t work when there is a lot of background noise. This is when you need them to work.\u201d\n\n-- Statement from a hearing aid wearer (Kochkin, 2000)\n"})}),"\n",(0,n.jsx)(t.p,{children:"Hearing aids are the the most common form of treatment for hearing loss. However, surveys indicate that at least 40% of hearing aids are never or rarely used (Knudsen et al., 2010). A major reason for this is dissatisfaction with performance. Even the best hearing aids perform poorly for speech in noise. This is particularly the case when there are many people talking at the same time, and when the amount of noise is relatively high (i.e., the signal-to-noise ratio (SNR) is low). As hearing ability worsen with age, the ability to understand speech in background noise also reduces (e.g., Akeroyd, 2008)."}),"\n","\n",(0,n.jsx)(t.p,{children:"When an audiologist assesses hearing loss, one thing they measure is the pure tone audiogram. This assesses the quietest sound someone can hear over a range of frequencies. However, an audiogram only partly explains your experience with speech in background noise (Heinrich et al. 2015), because it only measures the quietest sound you can hear. For example, picking out speech from noise is a complex task for the brain to perform, and this cognitive ability isn\u2019t assessed by an audiogram. In addition, there are other factors that are important such as personality, motivation, attitude toward hearing aids and prior hearing aid experience."}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{alt:"Audiogram",src:i(1552).c+"",width:"768",height:"723"})}),"\n",(0,n.jsx)(t.p,{children:"An audiogram displaying a \u201cski slope\u201d pattern that is a sign of age-related hearing loss (source: Ronan and Barrett, BMJ, 2014).\nSpeech-in-noise tests get closer to the real-life problem a hearing aid is trying to solve. Listeners listen to speech in the presence of noise and write down what words they hear. More words correct show an increase in the ability to understand speech in specific noisy situations when listeners are wearing their hearing aid (aided) relative to when they are not (unaided). Of course, listening conditions in the clinic differ from real-life conditions."}),"\n",(0,n.jsx)(t.p,{children:"Currently, while speech-in-noise test scores can be useful when fine-tuning a hearing aid, even then many users are disappointed about the performance of their hearing aids. Through our challenges, we hope to improve this situation, whether you go to cocktail parties or not."}),"\n",(0,n.jsx)(t.p,{children:"What\u2019s your experience with speech in noise? Please comment below."}),"\n",(0,n.jsx)(t.h2,{id:"references",children:"References"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:["Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? 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The scenes are described by a large number of randomized parameters:"}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsx)(e.li,{children:"The room size and materials."}),"\n",(0,n.jsx)(e.li,{children:"Who the target talker is."}),"\n",(0,n.jsx)(e.li,{children:"The sentence being uttered by the target talker."}),"\n",(0,n.jsx)(e.li,{children:"The listener, target talker and noise interferer locations."}),"\n",(0,n.jsx)(e.li,{children:"The head orientation of the listener, including the rotation during the audio."}),"\n",(0,n.jsx)(e.li,{children:"The interferer sound samples."}),"\n",(0,n.jsx)(e.li,{children:"The onset and offset times of the speech."}),"\n"]}),"\n",(0,n.jsx)(e.p,{children:"Below is a detailed description of how these are used to generate each scenario. But it is also possible to work from our database of pre-mixed hearing aid microphone signals without worrying too much about all the details of how these were created."}),"\n",(0,n.jsx)(e.h2,{id:"brief-overview-of-random-scenario-generation",children:"Brief overview of random scenario generation"}),"\n",(0,n.jsx)(e.p,{children:"The scenarios are for:"}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsx)(e.li,{children:"Small rooms that have low to moderate reverberation with randomized dimensions and locations of materials such as carpets."}),"\n",(0,n.jsx)(e.li,{children:"The locations of the listener, target and interferer are randomized."}),"\n",(0,n.jsx)(e.li,{children:"The target talker is selected from our set of 40 speakers."}),"\n",(0,n.jsx)(e.li,{children:"The target talker produces a randomly chosen 7-10 word utterance."}),"\n",(0,n.jsxs)(e.li,{children:["There are two or three interferer sounds running throughout the audio. This can be a:","\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsx)(e.li,{children:"stream of competing speech;"}),"\n",(0,n.jsx)(e.li,{children:"continuous domestic noise source (e.g., a washing machine); or"}),"\n",(0,n.jsx)(e.li,{children:"music source."}),"\n"]}),"\n"]}),"\n",(0,n.jsx)(e.li,{children:"The target speech source will onset about one second into the scene."}),"\n",(0,n.jsx)(e.li,{children:"The listener starts not looking at the target talker, but around the time the target speech starts, the listener rotates their head to approximately face towards the target."}),"\n"]}),"\n",(0,n.jsxs)(e.p,{children:["An example scenario is shown in ",(0,n.jsx)(e.a,{href:"#fig1",children:"Figure 1"}),". 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A desired signal-to-noise ratio, SNR",(0,n.jsxs)(e.span,{className:"katex",children:[(0,n.jsx)(e.span,{className:"katex-mathml",children:(0,n.jsx)(e.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(e.semantics,{children:[(0,n.jsx)(e.mrow,{children:(0,n.jsxs)(e.msub,{children:[(0,n.jsx)(e.mrow,{}),(0,n.jsx)(e.mi,{children:"D"})]})}),(0,n.jsx)(e.annotation,{encoding:"application/x-tex",children:"_D"})]})})}),(0,n.jsx)(e.span,{className:"katex-html","aria-hidden":"true",children:(0,n.jsxs)(e.span,{className:"base",children:[(0,n.jsx)(e.span,{className:"strut",style:{height:"0.4783em",verticalAlign:"-0.15em"}}),(0,n.jsxs)(e.span,{className:"mord",children:[(0,n.jsx)(e.span,{}),(0,n.jsx)(e.span,{className:"msupsub",children:(0,n.jsxs)(e.span,{className:"vlist-t vlist-t2",children:[(0,n.jsxs)(e.span,{className:"vlist-r",children:[(0,n.jsx)(e.span,{className:"vlist",style:{height:"0.3283em"},children:(0,n.jsxs)(e.span,{style:{top:"-2.55em",marginRight:"0.05em"},children:[(0,n.jsx)(e.span,{className:"pstrut",style:{height:"2.7em"}}),(0,n.jsx)(e.span,{className:"sizing reset-size6 size3 mtight",children:(0,n.jsx)(e.span,{className:"mord mathnormal mtight",style:{marginRight:"0.02778em"},children:"D"})})]})}),(0,n.jsx)(e.span,{className:"vlist-s",children:"\u200b"})]}),(0,n.jsx)(e.span,{className:"vlist-r",children:(0,n.jsx)(e.span,{className:"vlist",style:{height:"0.15em"},children:(0,n.jsx)(e.span,{})})})]})})]})]})})]})," (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. 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The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly."}),"\n",(0,r.jsx)(n.p,{children:"The main inputs and outputs for the processor are as follows:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Inputs"}),": Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in \u2018scenes_listeners.json\u2019 and an entry in the listener metadata json file \u2018listeners.json\u2019 for that ID"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Outputs"}),": The stereo hearing aid output signal, ",(0,r.jsx)(n.code,{children:"<scene>_<listener>_HA-output.wav"})]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"c-hearing-loss-model",children:"C. Hearing Loss model"}),"\n",(0,r.jsxs)(n.p,{children:["Open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge (e.g., [",(0,r.jsx)(n.a,{href:"#refs",children:"3"}),"])."]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Inputs"}),": A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears)."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Outputs"}),": The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), ",(0,r.jsx)(n.code,{children:"<scene>_<listener>_HL-output.wav"})]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"d-speech-intelligibility-model",children:"D. 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Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands)."]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Inputs"}),": HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections \u201cturned off\u201d, specified as \u2018target_anechoic\u2019), (scene metadata)"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Outputs"}),": predicted intelligibility score"]}),"\n"]}),"\n",(0,r.jsx)("a",{name:"refs"}),"\n",(0,r.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"Kayser, H., Herzke, T., Maanen, P., Pavlovic, C. and Hohmann, V., 2019. Open Master Hearing Aid (openMHA): An integrated platform for hearing aid research. Journal of the Acoustical Society of America, 146(4), pp. 2879-2879."}),"\n",(0,r.jsx)(n.li,{children:"Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170."}),"\n",(0,r.jsx)(n.li,{children:"Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615."}),"\n",(0,r.jsx)(n.li,{children:"Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. 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\ No newline at end of file diff --git a/assets/js/14c194f0.6776efdd.js b/assets/js/14c194f0.6776efdd.js deleted file mode 100644 index bd83f4c44..000000000 --- a/assets/js/14c194f0.6776efdd.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[5977],{60693:(e,t,i)=>{i.r(t),i.d(t,{assets:()=>r,contentTitle:()=>o,default:()=>h,frontMatter:()=>a,metadata:()=>l,toc:()=>d});var n=i(85893),s=i(11151);const a={id:"cec2_submission",title:"CEC2 Submission",sidebar_label:"Submission",sidebar_position:14},o=void 0,l={id:"cec2/taking_part/cec2_submission",title:"CEC2 Submission",description:"All teams are required to register prior to submission and before the registration deadline August 28th.",source:"@site/docs/cec2/taking_part/cec2_submission.mdx",sourceDirName:"cec2/taking_part",slug:"/cec2/taking_part/cec2_submission",permalink:"/docs/cec2/taking_part/cec2_submission",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:14,frontMatter:{id:"cec2_submission",title:"CEC2 Submission",sidebar_label:"Submission",sidebar_position:14},sidebar:"tutorialSidebar_cec2",previous:{title:"Find A Team",permalink:"/docs/cec2/taking_part/cec2_find_a_team"},next:{title:"FAQ",permalink:"/docs/cec2/taking_part/cec2_faq"}},r={},d=[{value:"What evaluation data is provided?",id:"what-evaluation-data-is-provided",level:2},{value:"What audio do I need to submit?",id:"what-audio-do-i-need-to-submit",level:2},{value:"Naming and packaging signals",id:"naming-and-packaging-signals",level:2},{value:"Technical report",id:"technical-report",level:2},{value:"How will intellectual property be handled?",id:"how-will-intellectual-property-be-handled",level:2},{value:"Where do I submit the signals?",id:"where-do-i-submit-the-signals",level:2}];function c(e){const t={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,s.a)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(t.admonition,{type:"info",children:(0,n.jsxs)(t.p,{children:["All teams are ",(0,n.jsx)(t.a,{href:"./cec2_registration",children:"required to register"})," prior to submission and before the registration deadline August 28th."]})}),"\n",(0,n.jsx)(t.p,{children:"We will be operating a two-stage submission process:"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Stage 1"}),": Evaluation using HASPI"]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Stage 2"}),": Evaluation using listening panel"]}),"\n"]}),"\n",(0,n.jsx)(t.p,{children:"Key dates."}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"July 25th"}),": Evaluation data release for HASPI evaluation for all entrants."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Aug 28th"}),": Registration deadline."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Sept 1st"}),": All entrants submit (i) audio for HASPI evaluation and (ii) a draft of their technical report."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Sept 8th"}),": Deadline by which all entrants must submit two page technical reports to Clarity-2022 workshop."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Sept 8th"}),": Entrants informed which systems are going forward to the listening test evaluation stage. Evaluation data for listening tests released to those entrants."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Sept 15th"}),": Entrants submit audio for listening tests."]}),"\n"]}),"\n",(0,n.jsx)(t.h2,{id:"what-evaluation-data-is-provided",children:"What evaluation data is provided?"}),"\n",(0,n.jsx)(t.p,{children:"The evaluation data consists of 1500 scenes. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of"}),"\n",(0,n.jsxs)(t.ol,{children:["\n",(0,n.jsx)(t.li,{children:"the audiograms and DTT results for a set of listeners and"}),"\n",(0,n.jsx)(t.li,{children:"a mapping of which listeners will listen to which scenes."}),"\n"]}),"\n",(0,n.jsx)(t.p,{children:"There will also be some clean audio examples for the target talker, that are not the same as the target utterance."}),"\n",(0,n.jsx)(t.p,{children:"For the stage 1 HASPI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams."}),"\n",(0,n.jsxs)(t.p,{children:["For the stage 2 listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the ",(0,n.jsx)(t.a,{href:"../data/cec2_data",children:"CEC2 Data"})," page."]}),"\n",(0,n.jsx)(t.h2,{id:"what-audio-do-i-need-to-submit",children:"What audio do I need to submit?"}),"\n",(0,n.jsx)(t.p,{children:"You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the HASPI evaluation and the second for the listening tests (see submission dates above)."}),"\n",(0,n.jsx)(t.p,{children:"Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate, and 0 dB FS corresponds to 100 dB SPL, given the capabilities of the listening test reproduction equipment. The format of signals submitted for HASPI evaluation and for the listening tests is the same."}),"\n",(0,n.jsx)(t.p,{children:"We also encourage you to submit your simulated hearing aid code."}),"\n",(0,n.jsxs)(t.p,{children:["See the page on ",(0,n.jsx)(t.a,{href:"cec2_listening_tests",children:"listening tests"})," for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It\u2019s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves."]}),"\n",(0,n.jsx)(t.h2,{id:"naming-and-packaging-signals",children:"Naming and packaging signals"}),"\n",(0,n.jsxs)(t.p,{children:["Your processed signals should be named using the conventions used by the baseline system, i.e., ",(0,n.jsx)(t.code,{children:"<Scene ID>_<Listener ID>_HA-output.wav"})," and explained on the ",(0,n.jsx)(t.a,{href:"../data/cec2_data#d6-enhanced-sinals",children:"CEC2 data page"}),".\nThese should be placed in a directory whose name is the unique team ID that you will be sent, e.g., ",(0,n.jsx)(t.code,{children:"E001"})," and then packaged using ",(0,n.jsx)(t.code,{children:"zip"})," or ",(0,n.jsx)(t.code,{children:"tar"})," or any standard packaging tool.\nThe resulting file should be about 2 GB for the first round."]}),"\n",(0,n.jsx)(t.h2,{id:"technical-report",children:"Technical report"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsx)(t.li,{children:"The two page technical report must be submitted as a paper to the Clarity-2022 Workshop. Deadline - see date above. An author kit and submission instructions will be made available."}),"\n",(0,n.jsx)(t.li,{children:"A draft of the report needs to be uploaded to the Google Drive along with your HASPI signals - see above for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules."}),"\n",(0,n.jsx)(t.li,{children:"Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. 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page.",source:"@site/docs/icassp2023/data/icassp2023_data.mdx",sourceDirName:"icassp2023/data",slug:"/icassp2023/data/icassp2023_data",permalink:"/docs/icassp2023/data/icassp2023_data",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:6,frontMatter:{id:"icassp2023_data",title:"ICASSP 2023 Data",sidebar_label:"Data Specification",sidebar_position:6},sidebar:"tutorialSidebar_icassp2023",previous:{title:"Scene Generation",permalink:"/docs/icassp2023/data/icassp2023_scene_generation"},next:{title:"New evaluation set",permalink:"/docs/icassp2023/data/icassp2023_new_evaluation"}},d={},h=[{value:"A. Training, development and evaluation data",id:"a-training-development-and-evaluation-data",level:2},{value:"B. The scene dataset",id:"b-the-scene-dataset",level:2},{value:"B.1 Training data",id:"b1-training-data",level:3},{value:"B.2 Development data",id:"b2-development-data",level:3},{value:"B.3 Simulated Evaluation data (<code>eval1</code>)",id:"b3-simulated-evaluation-data--eval1",level:3},{value:"B.4 Real Evaluation data (<code>eval2</code>)",id:"b4-real-evaluation-data-eval2",level:3},{value:"C Listener data",id:"c-listener-data",level:2},{value:"D Data file formats and naming conventions",id:"d-data-file-formats-and-naming-conventions",level:2},{value:"D.1 Abbreviations used in filenames",id:"d1-abbreviations-used-in-filenames",level:3},{value:"D.2 General",id:"d2-general",level:3},{value:"D.3 Prompt and transcription data",id:"d3-prompt-and-transcription-data",level:3},{value:"D.4 Source audio files",id:"d4-source-audio-files",level:3},{value:"D.5 Preprocessed scene signals",id:"d5-preprocessed-scene-signals",level:3},{value:"D.6 Enhanced signals",id:"d6-enhanced-signals",level:3},{value:"D.7 Hearing-aid output signals",id:"d7-hearing-aid-output-signals",level:3},{value:"D.8 Room metadata",id:"d8-room-metadata",level:3},{value:"D.9 Scene metadata",id:"d9-scene-metadata",level:3},{value:"D.10 Listener metadata",id:"d10-listener-metadata",level:3},{value:"D.11 Scene-Listener map",id:"d11-scene-listener-map",level:3},{value:"References",id:"references",level:2}];function c(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,t.M)(),...e.components};return(0,a.jsxs)(a.Fragment,{children:[(0,a.jsxs)(n.p,{children:["To obtain the data and baseline code, please see the ",(0,a.jsx)(n.a,{href:"../icassp2023_download",children:"download page"}),"."]}),"\n",(0,a.jsx)(n.h2,{id:"a-training-development-and-evaluation-data",children:"A. Training, development and evaluation data"}),"\n",(0,a.jsx)(n.p,{children:"The dataset of 10,000 simulated scenes is split into three sets:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"6000 training scenes (available now)"}),"\n",(0,a.jsx)(n.li,{children:"2500 development scenes (available now)"}),"\n",(0,a.jsx)(n.li,{children:"1500 evaluation scenes (released 1st Feb. 2023)"}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"In addition there will be:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["A secondary 'real data' evaluation set that will be based on real ecologically-valid recordings and so can highlight the generalizability of the entrants\u2019 approaches beyond the simulations (released 1st February 2023). ",(0,a.jsx)(n.a,{href:"icassp2023_new_evaluation",children:"More information"}),"."]}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"b-the-scene-dataset",children:"B. The scene dataset"}),"\n",(0,a.jsx)(n.p,{children:"For the dataset of 10,000 simulated scenes"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers."}),"\n",(0,a.jsx)(n.li,{children:"The training, development and evaluation sets are disjoint with respect to the target speakers."}),"\n",(0,a.jsx)(n.li,{children:"Sets are balanced for the gender of the target talker."}),"\n",(0,a.jsx)(n.li,{children:"Entrants must not use the development or evaluation data sets for training."}),"\n",(0,a.jsx)(n.li,{children:"The system submitted should be chosen on the evidence provided by the development set."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"For evaluation"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The final ranking will be performed with the (held-out) evaluation sets."}),"\n",(0,a.jsx)(n.li,{children:"Neither evaluation datasets (simulation nor real) have been used in previous Clarity challenges."}),"\n"]}),"\n","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The secondary 'real data' evaluation set will be made using real acoustic mixtures but using loudspeaker playback of target talkers so that the reference speech can be extracted as needed by the objective metrics."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"For the training and development set, entrants have access to a diverse range of signals and metadata, with the most important being:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The hearing aid microphone signals"}),"\n",(0,a.jsx)(n.li,{children:"The hearing characteristics of the listener (e.g. audiogram)"}),"\n",(0,a.jsx)(n.li,{children:"The anechoic target reference and interferer signals."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files."}),"\n",(0,a.jsx)(n.p,{children:"For evaluation, the data available is more limited, i.e.,"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The hearing aid microphone signals"}),"\n",(0,a.jsx)(n.li,{children:"The hearing characteristics of the listener (e.g. audiogram)"}),"\n",(0,a.jsx)(n.li,{children:"The anechoic target reference signal which will be used by the organisers but not released to entrants."}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on ",(0,a.jsx)(n.a,{href:"icassp2023_scene_generation",children:"scene generation"})," for more details."]}),"\n",(0,a.jsx)(n.p,{children:"Time-domain acoustic signals are generated for:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see ",(0,a.jsx)(n.a,{href:"#fig1",children:"Figure 1"}),". The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered."]}),"\n",(0,a.jsx)(n.li,{children:"Close to the eardrum."}),"\n",(0,a.jsx)(n.li,{children:"The anechoic target reference (front microphone)."}),"\n"]}),"\n",(0,a.jsxs)("figure",{id:"fig1",children:[(0,a.jsx)("img",{width:"300",src:(0,s.c)("/img/CEC2/bte_device.png")}),(0,a.jsx)("figcaption",{children:"Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form."})]}),"\n",(0,a.jsxs)(n.p,{children:["Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the ",(0,a.jsx)(n.a,{href:"https://uol.de/mediphysik/downloads/hearingdevicehrtfs",children:"OlHeadHRTF database"})," with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ",(0,a.jsx)(n.code,{children:"ED"}),") are for a position close to the eardrum of the open ear."]}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.code,{children:"rpf"})," files and ",(0,a.jsx)(n.code,{children:"ac"})," files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials."]}),"\n",(0,a.jsx)(n.h3,{id:"b1-training-data",children:"B.1 Training data"}),"\n",(0,a.jsx)(n.p,{children:"For each scene in the training data the following signals and metadata are available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears)."}),"\n",(0,a.jsx)(n.li,{children:"The mono target and interferer signals (pre-convolution)."}),"\n",(0,a.jsxs)(n.li,{children:["For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0):","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target convolved with the appropriate HOA-IRs and downmixed;"}),"\n",(0,a.jsx)(n.li,{children:"The interferers convolved with the appropriate HOA-IRs and downmixed;"}),"\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid)"}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (\u2018target_anechoic\u2019). For use as a reference when computing HASPI scores."}),"\n",(0,a.jsx)(n.li,{children:"Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files."}),"\n",(0,a.jsx)(n.li,{children:"A signal describing the head rotation (i.e. azimuthal angle at each sample)"}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"b2-development-data",children:"B.2 Development data"}),"\n",(0,a.jsx)(n.p,{children:"This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set)"}),"\n",(0,a.jsx)(n.p,{children:"Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended."}),"\n",(0,a.jsxs)(n.p,{children:["Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section ",(0,a.jsx)(n.a,{href:"#b3-evaluation-data",children:"B.3"}),")."]}),"\n",(0,a.jsx)(n.p,{children:"When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below)."}),"\n",(0,a.jsxs)(n.h3,{id:"b3-simulated-evaluation-data--eval1",children:["B.3 Simulated Evaluation data (",(0,a.jsx)(n.code,{children:"eval1"}),")"]}),"\n",(0,a.jsx)(n.p,{children:"The following data will only be available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio: the sum of the target and interferers for each hearing aid microphone."}),"\n",(0,a.jsx)(n.li,{children:"The ID of the listener who will be auditioning the processed scene."}),"\n",(0,a.jsx)(n.li,{children:"The listener characterisation data for these listeners."}),"\n",(0,a.jsx)(n.li,{children:"ID of target talker and a few examples of clean audio that are not the same as the target utterance."}),"\n",(0,a.jsx)(n.li,{children:"The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)"}),"\n",(0,a.jsx)(n.li,{children:"Speaker adaptation sentence - 4 clean utterances for each target speaker."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture."}),"\n",(0,a.jsx)(n.li,{children:"The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking."}),"\n",(0,a.jsxs)(n.h3,{id:"b4-real-evaluation-data-eval2",children:["B.4 Real Evaluation data (",(0,a.jsx)(n.code,{children:"eval2"}),")"]}),"\n",(0,a.jsx)(n.p,{children:"The following data will only be available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio: the sum of the target and interferers for each hearing aid microphone."}),"\n",(0,a.jsx)(n.li,{children:"The ID of the listener who will be auditioning the processed scene."}),"\n",(0,a.jsx)(n.li,{children:"The listener characterisation data for these listeners."}),"\n",(0,a.jsx)(n.li,{children:"ID of target talker and a few examples of clean audio that are not the same as the target utterance."}),"\n",(0,a.jsx)(n.li,{children:"Speaker adaptation sentence - 4 clean utterances for each target speaker."}),"\n",(0,a.jsx)(n.li,{children:"Further details to be confirmed."}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"c-listener-data",children:"C Listener data"}),"\n",(0,a.jsx)(n.p,{children:"We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them."}),"\n",(0,a.jsx)(n.p,{children:"The same types of data are available for training, development and evaluation."}),"\n",(0,a.jsx)(n.p,{children:"A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English."}),"\n",(0,a.jsx)(n.p,{children:"The quantification of the listeners\u2019 hearing is done with:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound."}),"\n",(0,a.jsx)(n.li,{children:"Results from the DTT (digit-triplet test, also known as a triple digit test)\u200b"}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["The audiogram is the standard clinical measurement of hearing ability. It\u2019s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., ",(0,a.jsx)(n.a,{href:"https://www.thebsa.org.uk/resources/pure-tone-air-bone-conduction-threshold-audiometry-without-masking/",children:"British Society of Audiology Recommended Procedure"}),'. Typically it\u2019s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. ',(0,a.jsx)(n.a,{href:"https://www.psychol.cam.ac.uk/hearing/cam2-cameq2-hf-hearing-aid-fitting-software",children:"CAMFIT"}),", ",(0,a.jsx)(n.a,{href:"https://hearworks.com.au/technology/nal-nl2/",children:"NAL-NL2"})," or ",(0,a.jsx)(n.a,{href:"https://www.dslio.com/?page_id=95",children:"DSL"})," ","."]}),"\n",(0,a.jsxs)(n.p,{children:["Note that the scale of an audiogram is in \u201cdB HL\u201d = \u201cdB Hearing Level\u201d. This is not dB SPL; instead, it\u2019s relative to an international standard such that 0-dB is \u201cnormal hearing\u201d at every frequency. For background see ",(0,a.jsx)(n.a,{href:"https://hearingreview.com/hearing-loss/patient-care/evaluation/why-the-audiogram-is-upside-down",children:"Why the Audiogram Is Upside-down | The Hearing Review"})," and ",(0,a.jsx)(n.a,{href:"https://hearingreview.com/resource-center/expert-insight/quest-audiometric-zero",children:"The Quest for Audiometric Zero | The Hearing Review"})]}),"\n",(0,a.jsx)(n.p,{children:"The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet."}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/33840339/",children:"This paper"})," is a recent scoping review of the field. The particular version we used is ",(0,a.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/25127323/",children:"Vlaming et al.'s high-frequency DTT"}),", which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials."]}),"\n",(0,a.jsx)(n.p,{children:"In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored."}),"\n",(0,a.jsx)(n.h2,{id:"d-data-file-formats-and-naming-conventions",children:"D Data file formats and naming conventions"}),"\n",(0,a.jsx)(n.h3,{id:"d1-abbreviations-used-in-filenames",children:"D.1 Abbreviations used in filenames"}),"\n",(0,a.jsx)(n.p,{children:"The following abbreviations are used consistently throughout the filenames and references in the metadata."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"R"})," \u2013 \u201croom\u201d: e.g., \u201cR02678\u201d # Room ID linking to RAVEN rpf file"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"S"})," \u2013 \u201cscene\u201d: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signals"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"BNC"})," \u2013 BNC sentence identifier e.g. ",(0,a.jsx)(n.code,{children:"BNC_A06_01702"})]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH"})," \u2013","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH0"})," \u2013 eardrum signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH1"})," \u2013 front signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH2"})," \u2013 middle signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH3"})," \u2013 rear signal, hearing aid channel"]}),"\n"]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"I"}),"/",(0,a.jsx)(n.code,{children:"i1"})," \u2013 Interferer, i.e., noise or sentence ID for the interferer/masker"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"T"})," \u2013 talker who produced the target speech sentences"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"L"})," \u2013 listener"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"E"})," \u2013 entrant (identifying a team participating in the challenge)"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"t"})," \u2013 target (used in BRIRs and RAVEN project \u2018rpf\u2019 files)"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d2-general",children:"D.2 General"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate."}),"\n",(0,a.jsx)(n.li,{children:"Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones."}),"\n",(0,a.jsx)(n.li,{children:"0 dB FS in the audio signals corresponds to 100 dB SPL."}),"\n",(0,a.jsxs)(n.li,{children:["Metadata will be stored in JSON or csv format as appropriate with the exception of","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Room descriptions are stored as RAVEN project \u2018rpf\u2019 configuration files and \u2018ac\u2019 files. (However, key details are reflected in the scene.json files)"}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"Signals are saved within the Python code as 32-bit floating point by default."}),"\n",(0,a.jsx)(n.li,{children:"Output signals for the listening tests will be required to be in 16-bit format."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d3-prompt-and-transcription-data",children:"D.3 Prompt and transcription data"}),"\n",(0,a.jsx)(n.p,{children:"The following text is available for the target speech:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Prompts are the text that was given to the talkers to say."}),"\n",(0,a.jsx)(n.li,{children:"\u2018Dot\u2019 transcriptions contain the text as it was spoken in a form more suitable for scoring tools."}),"\n",(0,a.jsx)(n.li,{children:"These are stored in the master json metadata file."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d4-source-audio-files",children:"D.4 Source audio files"}),"\n",(0,a.jsx)(n.p,{children:"Wav files containing the original source materials.\nOriginal target sentence recordings:"}),"\n",(0,a.jsx)(n.p,{children:(0,a.jsx)(n.code,{children:"<Talker ID>_<BNC sentence identifier>.wav"})}),"\n",(0,a.jsx)(n.h3,{id:"d5-preprocessed-scene-signals",children:"D.5 Preprocessed scene signals"}),"\n",(0,a.jsx)(n.p,{children:"Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or \u2018channel\u2019."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"<Scene ID>_target_<Channel ID>.wav"})}),"\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"<Scene ID>_interferer_<Channel ID>.wav"})}),"\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"<Scene ID>_mixed_<Channel ID>.wav"})}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_target_anechoic.wav"})," - at hearing device front microphone"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_hr.wav"})," - head rotation signal"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Scene ID \u2013 S00001 to S10000"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"S followed by 5 digit integer with 0 pre-padding"}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Channel ID"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"CH0 \u2013 Eardrum signal"}),"\n",(0,a.jsx)(n.li,{children:"CH1 \u2013 Hearing aid front microphone"}),"\n",(0,a.jsx)(n.li,{children:"CH2 \u2013 Hearing aid middle microphone"}),"\n",(0,a.jsx)(n.li,{children:"CH3 \u2013 Hearing aid rear microphone"}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["The ",(0,a.jsx)(n.strong,{children:"anechoic signal"})," is the signal that will be used as the referernce in the HASPI evaluation."]}),"\n",(0,a.jsxs)(n.p,{children:["The ",(0,a.jsx)(n.strong,{children:"head rotation"})," signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured."]}),"\n",(0,a.jsx)(n.h3,{id:"d6-enhanced-signals",children:"D.6 Enhanced signals"}),"\n",(0,a.jsx)(n.p,{children:"The signals that are output by the baseline enhancement algorithm."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_enhanced.wav"})," # Enhancement output signal (i.e., as submitted by the challenge entrants)"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Listener ID \u2013 ID of the listener panel member, e.g., L001 to L100 for initial \u2018pseudo-listeners\u2019, etc."}),"\n",(0,a.jsx)(n.h3,{id:"d7-hearing-aid-output-signals",children:"D.7 Hearing-aid output signals"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HA-output.wav"})," # i.e., the enhanced signals after processing with the supplied hearing aid amplification."]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Listener ID \u2013 ID of the listener panel member, e.g., L001 to L100 for initial \u2018pseudo-listeners\u2019, etc."}),"\n",(0,a.jsx)(n.h3,{id:"d8-room-metadata",children:"D.8 Room metadata"}),"\n",(0,a.jsx)(n.p,{children:"JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="rooms.json"',children:'[\n {\n "name": "R00001", // ID of room linking to RAVEN rpf and ac files\n "dimensions": "6.9933x3x3", // Room dimensions in metres\n "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z)\n "position": [-0.3, 2.4, 1.2],\n "view_vector": [0.071, 0.997, 0.0],\n },\n "listener": {\n "position": [-0.1, 5.2, 1.2],\n "view_vector": [0.071, 0.997, 0.0],\n },\n "interferers": [\n {\n "position": [0.4, 4.0, 1.2],\n },\n { // etc, up to three interferers\n }\n ],\n },\n ...\n]\n'})}),"\n",(0,a.jsx)(n.h3,{id:"d9-scene-metadata",children:"D.9 Scene metadata"}),"\n",(0,a.jsxs)(n.p,{children:["JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section ",(0,a.jsx)(n.a,{href:"#d7-room-metadata",children:"D.7"}),") plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings."]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes.json"',children:'[\n {\n "scene": "S00001", // the unique scene ID\n "room":: "R00001", // ID of room linking to rooms.json\n "target": { \n "name": "T005_JYD_04274", // target speaker code and BNCid\n "time_start": 107210, // start time of target in samples\n "time_end": 217019 // end time of target in samples\n },\n "listener": {\n "rotation": [ // Defines the head motion - list of time, direction pairs\n {\n "sample": 88200,\n "angle": 30 // Azimuth angle in degrees\n },\n {\n "sample": 176400,\n "angle\u201d: 50 \n }\n ],\n "hrir_filename": \n ["VP_N4-ED",\n "VP_N4-BTE_fr",\n "VP_N4-BTE_mid",\n "VP_N4-BTE_rear"] // HRIR filename for each channel to generate\n },\n "interferers": [\n {\n "position": 1, // Index of interferer position (See rooms.json)\n "time_start": 0, // time of interferer onset in samples\n "time_end": 261119, // time of interferer offset in samples\n "name": "track_1353255", // interferer name\n "type": "music", // interferer type: speech, noise or music\n "offset": 4076256 // index into interferer file at which to extract sample\n },\n { // etc, up to three interferers\n }\n ],\n "dataset": "train", // the dataset to which the scene belongs: train, dev or eval\n "duration": 261119, // total duration of scene in samples\n "SNR": 6.89 // targe SNR for the scene\n },\n ...\n]\n'})}),"\n",(0,a.jsx)(n.p,{children:"There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room."}),"\n",(0,a.jsxs)(n.p,{children:["The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section ",(0,a.jsx)(n.a,{href:"#d9-listener-metadata",children:"D.9"}),")."]}),"\n",(0,a.jsx)(n.p,{children:"Noise interferers are labelled with a type \u201cmusic\u201d, \u201cnoise\u201d or \u201cspeech\u201d and then have a unique name identifying the file."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"speech"}),": ",(0,a.jsx)(n.code,{children:"<ACCENT_CODE>_<SPEAKER_ID>"})," where ",(0,a.jsx)(n.code,{children:"ACCENT_CODE"})," is a three letter code identify the accent region and gender of the speaker and ",(0,a.jsx)(n.code,{children:"SPEAKER_ID"}),' is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK ',(0,a.jsx)(n.strong,{children:"mi"}),"dlands accented ",(0,a.jsx)(n.strong,{children:"f"}),"emale, speaker 02484. The speech comes from Demirshan et al. [",(0,a.jsx)(n.a,{href:"#references",children:"1"}),"] which provides more details."]}),"\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"noise"}),": ",(0,a.jsx)(n.code,{children:"CIN_<NOISE_TYPE>_<NOISE_ID>"})," where ",(0,a.jsx)(n.code,{children:"NOISE_TYPE"})," is one of ",(0,a.jsx)(n.code,{children:"dishwasher"}),", ",(0,a.jsx)(n.code,{children:"fan"}),", ",(0,a.jsx)(n.code,{children:"hairdryer"}),", ",(0,a.jsx)(n.code,{children:"kettle"}),", ",(0,a.jsx)(n.code,{children:"microwave"}),", ",(0,a.jsx)(n.code,{children:"vacuum"})," (vacuum cleaner) or ",(0,a.jsx)(n.code,{children:"washing"})," (washing machine) and ",(0,a.jsx)(n.code,{children:"NOISE_ID"})," is a unique 3-digit code for the sample."]}),"\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"music"}),": ",(0,a.jsx)(n.code,{children:"track_<TRACK_ID>"})," where ",(0,a.jsx)(n.code,{children:"TRACK_ID"})," is unique 7-digit track identifier taken from the MTG Jamendo database. [",(0,a.jsx)(n.a,{href:"#references",children:"2"}),"]"]}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["Given the type and name, further interferer metadata can be found in the files ",(0,a.jsx)(n.code,{children:"masker_speech_list.json"}),", ",(0,a.jsx)(n.code,{children:"masker_noise_list.json"})," and ",(0,a.jsx)(n.code,{children:"masker_music_list.json"})," which are distributed with the challenge."]}),"\n",(0,a.jsx)(n.h3,{id:"d10-listener-metadata",children:"D.10 Listener metadata"}),"\n",(0,a.jsx)(n.p,{children:"Audiogram data is stored in a single JSON file with the following format."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{\n "L0001": {\n "name": "L0001",\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\n "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60],\n "audiogram_levels_r": [ \u2026 ],\n },\n "L0002": {\n // ... etc\n },\n // ... etc\n}\n'})}),"\n",(0,a.jsx)(n.p,{children:"Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS"}),"\n",(0,a.jsx)(n.h3,{id:"d11-scene-listener-map",children:"D.11 Scene-Listener map"}),"\n",(0,a.jsx)(n.p,{children:"JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes_listeners.json"',children:'{\n "S00001": ["L0001", "L0002", "L0003"],\n "S00002": ["L0003", "L0005", "L0007"],\n // ... etc\n}\n'})}),"\n",(0,a.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsxs)(n.li,{children:['Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, ',(0,a.jsx)(n.a,{href:"https://openslr.org/83/",children:"Avialable Online"})]}),"\n",(0,a.jsxs)(n.li,{children:['Bogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", ',(0,a.jsx)(n.a,{href:"https://mtg.github.io/mtg-jamendo-dataset/",children:"Available Online"})]}),"\n"]})]})}function u(e={}){const{wrapper:n}={...(0,t.M)(),...e.components};return n?(0,a.jsx)(n,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}},4552:(e,n,i)=>{i.d(n,{I:()=>o,M:()=>r});var a=i(11504);const t={},s=a.createContext(t);function r(e){const n=a.useContext(s);return a.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:r(e.components),a.createElement(s.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/16f8958e.e3ac0f07.js b/assets/js/16f8958e.e3ac0f07.js deleted file mode 100644 index 332ca0812..000000000 --- a/assets/js/16f8958e.e3ac0f07.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[9909],{97971:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>d,contentTitle:()=>o,default:()=>u,frontMatter:()=>r,metadata:()=>l,toc:()=>h});var a=i(85893),t=i(11151),s=i(44996);const r={id:"icassp2023_data",title:"ICASSP 2023 Data",sidebar_label:"Data Specification",sidebar_position:6},o=void 0,l={id:"icassp2023/data/icassp2023_data",title:"ICASSP 2023 Data",description:"To obtain the data and baseline code, please see the download page.",source:"@site/docs/icassp2023/data/icassp2023_data.mdx",sourceDirName:"icassp2023/data",slug:"/icassp2023/data/icassp2023_data",permalink:"/docs/icassp2023/data/icassp2023_data",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:6,frontMatter:{id:"icassp2023_data",title:"ICASSP 2023 Data",sidebar_label:"Data Specification",sidebar_position:6},sidebar:"tutorialSidebar_icassp2023",previous:{title:"Scene Generation",permalink:"/docs/icassp2023/data/icassp2023_scene_generation"},next:{title:"New evaluation set",permalink:"/docs/icassp2023/data/icassp2023_new_evaluation"}},d={},h=[{value:"A. Training, development and evaluation data",id:"a-training-development-and-evaluation-data",level:2},{value:"B. The scene dataset",id:"b-the-scene-dataset",level:2},{value:"B.1 Training data",id:"b1-training-data",level:3},{value:"B.2 Development data",id:"b2-development-data",level:3},{value:"B.3 Simulated Evaluation data (<code>eval1</code>)",id:"b3-simulated-evaluation-data--eval1",level:3},{value:"B.4 Real Evaluation data (<code>eval2</code>)",id:"b4-real-evaluation-data-eval2",level:3},{value:"C Listener data",id:"c-listener-data",level:2},{value:"D Data file formats and naming conventions",id:"d-data-file-formats-and-naming-conventions",level:2},{value:"D.1 Abbreviations used in filenames",id:"d1-abbreviations-used-in-filenames",level:3},{value:"D.2 General",id:"d2-general",level:3},{value:"D.3 Prompt and transcription data",id:"d3-prompt-and-transcription-data",level:3},{value:"D.4 Source audio files",id:"d4-source-audio-files",level:3},{value:"D.5 Preprocessed scene signals",id:"d5-preprocessed-scene-signals",level:3},{value:"D.6 Enhanced signals",id:"d6-enhanced-signals",level:3},{value:"D.7 Hearing-aid output signals",id:"d7-hearing-aid-output-signals",level:3},{value:"D.8 Room metadata",id:"d8-room-metadata",level:3},{value:"D.9 Scene metadata",id:"d9-scene-metadata",level:3},{value:"D.10 Listener metadata",id:"d10-listener-metadata",level:3},{value:"D.11 Scene-Listener map",id:"d11-scene-listener-map",level:3},{value:"References",id:"references",level:2}];function c(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,t.a)(),...e.components};return(0,a.jsxs)(a.Fragment,{children:[(0,a.jsxs)(n.p,{children:["To obtain the data and baseline code, please see the ",(0,a.jsx)(n.a,{href:"../icassp2023_download",children:"download page"}),"."]}),"\n",(0,a.jsx)(n.h2,{id:"a-training-development-and-evaluation-data",children:"A. Training, development and evaluation data"}),"\n",(0,a.jsx)(n.p,{children:"The dataset of 10,000 simulated scenes is split into three sets:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"6000 training scenes (available now)"}),"\n",(0,a.jsx)(n.li,{children:"2500 development scenes (available now)"}),"\n",(0,a.jsx)(n.li,{children:"1500 evaluation scenes (released 1st Feb. 2023)"}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"In addition there will be:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["A secondary 'real data' evaluation set that will be based on real ecologically-valid recordings and so can highlight the generalizability of the entrants\u2019 approaches beyond the simulations (released 1st February 2023). ",(0,a.jsx)(n.a,{href:"icassp2023_new_evaluation",children:"More information"}),"."]}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"b-the-scene-dataset",children:"B. The scene dataset"}),"\n",(0,a.jsx)(n.p,{children:"For the dataset of 10,000 simulated scenes"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers."}),"\n",(0,a.jsx)(n.li,{children:"The training, development and evaluation sets are disjoint with respect to the target speakers."}),"\n",(0,a.jsx)(n.li,{children:"Sets are balanced for the gender of the target talker."}),"\n",(0,a.jsx)(n.li,{children:"Entrants must not use the development or evaluation data sets for training."}),"\n",(0,a.jsx)(n.li,{children:"The system submitted should be chosen on the evidence provided by the development set."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"For evaluation"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The final ranking will be performed with the (held-out) evaluation sets."}),"\n",(0,a.jsx)(n.li,{children:"Neither evaluation datasets (simulation nor real) have been used in previous Clarity challenges."}),"\n"]}),"\n","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The secondary 'real data' evaluation set will be made using real acoustic mixtures but using loudspeaker playback of target talkers so that the reference speech can be extracted as needed by the objective metrics."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"For the training and development set, entrants have access to a diverse range of signals and metadata, with the most important being:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The hearing aid microphone signals"}),"\n",(0,a.jsx)(n.li,{children:"The hearing characteristics of the listener (e.g. audiogram)"}),"\n",(0,a.jsx)(n.li,{children:"The anechoic target reference and interferer signals."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files."}),"\n",(0,a.jsx)(n.p,{children:"For evaluation, the data available is more limited, i.e.,"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The hearing aid microphone signals"}),"\n",(0,a.jsx)(n.li,{children:"The hearing characteristics of the listener (e.g. audiogram)"}),"\n",(0,a.jsx)(n.li,{children:"The anechoic target reference signal which will be used by the organisers but not released to entrants."}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on ",(0,a.jsx)(n.a,{href:"icassp2023_scene_generation",children:"scene generation"})," for more details."]}),"\n",(0,a.jsx)(n.p,{children:"Time-domain acoustic signals are generated for:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see ",(0,a.jsx)(n.a,{href:"#fig1",children:"Figure 1"}),". The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered."]}),"\n",(0,a.jsx)(n.li,{children:"Close to the eardrum."}),"\n",(0,a.jsx)(n.li,{children:"The anechoic target reference (front microphone)."}),"\n"]}),"\n",(0,a.jsxs)("figure",{id:"fig1",children:[(0,a.jsx)("img",{width:"300",src:(0,s.Z)("/img/CEC2/bte_device.png")}),(0,a.jsx)("figcaption",{children:"Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form."})]}),"\n",(0,a.jsxs)(n.p,{children:["Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the ",(0,a.jsx)(n.a,{href:"https://uol.de/mediphysik/downloads/hearingdevicehrtfs",children:"OlHeadHRTF database"})," with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ",(0,a.jsx)(n.code,{children:"ED"}),") are for a position close to the eardrum of the open ear."]}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.code,{children:"rpf"})," files and ",(0,a.jsx)(n.code,{children:"ac"})," files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials."]}),"\n",(0,a.jsx)(n.h3,{id:"b1-training-data",children:"B.1 Training data"}),"\n",(0,a.jsx)(n.p,{children:"For each scene in the training data the following signals and metadata are available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears)."}),"\n",(0,a.jsx)(n.li,{children:"The mono target and interferer signals (pre-convolution)."}),"\n",(0,a.jsxs)(n.li,{children:["For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0):","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target convolved with the appropriate HOA-IRs and downmixed;"}),"\n",(0,a.jsx)(n.li,{children:"The interferers convolved with the appropriate HOA-IRs and downmixed;"}),"\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid)"}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (\u2018target_anechoic\u2019). For use as a reference when computing HASPI scores."}),"\n",(0,a.jsx)(n.li,{children:"Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files."}),"\n",(0,a.jsx)(n.li,{children:"A signal describing the head rotation (i.e. azimuthal angle at each sample)"}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"b2-development-data",children:"B.2 Development data"}),"\n",(0,a.jsx)(n.p,{children:"This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set)"}),"\n",(0,a.jsx)(n.p,{children:"Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended."}),"\n",(0,a.jsxs)(n.p,{children:["Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section ",(0,a.jsx)(n.a,{href:"#b3-evaluation-data",children:"B.3"}),")."]}),"\n",(0,a.jsx)(n.p,{children:"When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below)."}),"\n",(0,a.jsxs)(n.h3,{id:"b3-simulated-evaluation-data--eval1",children:["B.3 Simulated Evaluation data (",(0,a.jsx)(n.code,{children:"eval1"}),")"]}),"\n",(0,a.jsx)(n.p,{children:"The following data will only be available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio: the sum of the target and interferers for each hearing aid microphone."}),"\n",(0,a.jsx)(n.li,{children:"The ID of the listener who will be auditioning the processed scene."}),"\n",(0,a.jsx)(n.li,{children:"The listener characterisation data for these listeners."}),"\n",(0,a.jsx)(n.li,{children:"ID of target talker and a few examples of clean audio that are not the same as the target utterance."}),"\n",(0,a.jsx)(n.li,{children:"The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)"}),"\n",(0,a.jsx)(n.li,{children:"Speaker adaptation sentence - 4 clean utterances for each target speaker."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture."}),"\n",(0,a.jsx)(n.li,{children:"The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking."}),"\n",(0,a.jsxs)(n.h3,{id:"b4-real-evaluation-data-eval2",children:["B.4 Real Evaluation data (",(0,a.jsx)(n.code,{children:"eval2"}),")"]}),"\n",(0,a.jsx)(n.p,{children:"The following data will only be available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio: the sum of the target and interferers for each hearing aid microphone."}),"\n",(0,a.jsx)(n.li,{children:"The ID of the listener who will be auditioning the processed scene."}),"\n",(0,a.jsx)(n.li,{children:"The listener characterisation data for these listeners."}),"\n",(0,a.jsx)(n.li,{children:"ID of target talker and a few examples of clean audio that are not the same as the target utterance."}),"\n",(0,a.jsx)(n.li,{children:"Speaker adaptation sentence - 4 clean utterances for each target speaker."}),"\n",(0,a.jsx)(n.li,{children:"Further details to be confirmed."}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"c-listener-data",children:"C Listener data"}),"\n",(0,a.jsx)(n.p,{children:"We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them."}),"\n",(0,a.jsx)(n.p,{children:"The same types of data are available for training, development and evaluation."}),"\n",(0,a.jsx)(n.p,{children:"A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English."}),"\n",(0,a.jsx)(n.p,{children:"The quantification of the listeners\u2019 hearing is done with:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound."}),"\n",(0,a.jsx)(n.li,{children:"Results from the DTT (digit-triplet test, also known as a triple digit test)\u200b"}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["The audiogram is the standard clinical measurement of hearing ability. It\u2019s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., ",(0,a.jsx)(n.a,{href:"https://www.thebsa.org.uk/resources/pure-tone-air-bone-conduction-threshold-audiometry-without-masking/",children:"British Society of Audiology Recommended Procedure"}),'. Typically it\u2019s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. ',(0,a.jsx)(n.a,{href:"https://www.psychol.cam.ac.uk/hearing/cam2-cameq2-hf-hearing-aid-fitting-software",children:"CAMFIT"}),", ",(0,a.jsx)(n.a,{href:"https://hearworks.com.au/technology/nal-nl2/",children:"NAL-NL2"})," or ",(0,a.jsx)(n.a,{href:"https://www.dslio.com/?page_id=95",children:"DSL"})," ","."]}),"\n",(0,a.jsxs)(n.p,{children:["Note that the scale of an audiogram is in \u201cdB HL\u201d = \u201cdB Hearing Level\u201d. This is not dB SPL; instead, it\u2019s relative to an international standard such that 0-dB is \u201cnormal hearing\u201d at every frequency. For background see ",(0,a.jsx)(n.a,{href:"https://hearingreview.com/hearing-loss/patient-care/evaluation/why-the-audiogram-is-upside-down",children:"Why the Audiogram Is Upside-down | The Hearing Review"})," and ",(0,a.jsx)(n.a,{href:"https://hearingreview.com/resource-center/expert-insight/quest-audiometric-zero",children:"The Quest for Audiometric Zero | The Hearing Review"})]}),"\n",(0,a.jsx)(n.p,{children:"The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet."}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/33840339/",children:"This paper"})," is a recent scoping review of the field. The particular version we used is ",(0,a.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/25127323/",children:"Vlaming et al.'s high-frequency DTT"}),", which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials."]}),"\n",(0,a.jsx)(n.p,{children:"In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored."}),"\n",(0,a.jsx)(n.h2,{id:"d-data-file-formats-and-naming-conventions",children:"D Data file formats and naming conventions"}),"\n",(0,a.jsx)(n.h3,{id:"d1-abbreviations-used-in-filenames",children:"D.1 Abbreviations used in filenames"}),"\n",(0,a.jsx)(n.p,{children:"The following abbreviations are used consistently throughout the filenames and references in the metadata."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"R"})," \u2013 \u201croom\u201d: e.g., \u201cR02678\u201d # Room ID linking to RAVEN rpf file"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"S"})," \u2013 \u201cscene\u201d: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signals"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"BNC"})," \u2013 BNC sentence identifier e.g. ",(0,a.jsx)(n.code,{children:"BNC_A06_01702"})]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH"})," \u2013","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH0"})," \u2013 eardrum signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH1"})," \u2013 front signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH2"})," \u2013 middle signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH3"})," \u2013 rear signal, hearing aid channel"]}),"\n"]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"I"}),"/",(0,a.jsx)(n.code,{children:"i1"})," \u2013 Interferer, i.e., noise or sentence ID for the interferer/masker"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"T"})," \u2013 talker who produced the target speech sentences"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"L"})," \u2013 listener"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"E"})," \u2013 entrant (identifying a team participating in the challenge)"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"t"})," \u2013 target (used in BRIRs and RAVEN project \u2018rpf\u2019 files)"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d2-general",children:"D.2 General"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate."}),"\n",(0,a.jsx)(n.li,{children:"Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones."}),"\n",(0,a.jsx)(n.li,{children:"0 dB FS in the audio signals corresponds to 100 dB SPL."}),"\n",(0,a.jsxs)(n.li,{children:["Metadata will be stored in JSON or csv format as appropriate with the exception of","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Room descriptions are stored as RAVEN project \u2018rpf\u2019 configuration files and \u2018ac\u2019 files. (However, key details are reflected in the scene.json files)"}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"Signals are saved within the Python code as 32-bit floating point by default."}),"\n",(0,a.jsx)(n.li,{children:"Output signals for the listening tests will be required to be in 16-bit format."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d3-prompt-and-transcription-data",children:"D.3 Prompt and transcription data"}),"\n",(0,a.jsx)(n.p,{children:"The following text is available for the target speech:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Prompts are the text that was given to the talkers to say."}),"\n",(0,a.jsx)(n.li,{children:"\u2018Dot\u2019 transcriptions contain the text as it was spoken in a form more suitable for scoring tools."}),"\n",(0,a.jsx)(n.li,{children:"These are stored in the master json metadata file."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d4-source-audio-files",children:"D.4 Source audio files"}),"\n",(0,a.jsx)(n.p,{children:"Wav files containing the original source materials.\nOriginal target sentence recordings:"}),"\n",(0,a.jsx)(n.p,{children:(0,a.jsx)(n.code,{children:"<Talker ID>_<BNC sentence identifier>.wav"})}),"\n",(0,a.jsx)(n.h3,{id:"d5-preprocessed-scene-signals",children:"D.5 Preprocessed scene signals"}),"\n",(0,a.jsx)(n.p,{children:"Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or \u2018channel\u2019."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"<Scene ID>_target_<Channel ID>.wav"})}),"\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"<Scene ID>_interferer_<Channel ID>.wav"})}),"\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"<Scene ID>_mixed_<Channel ID>.wav"})}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_target_anechoic.wav"})," - at hearing device front microphone"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_hr.wav"})," - head rotation signal"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Scene ID \u2013 S00001 to S10000"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"S followed by 5 digit integer with 0 pre-padding"}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Channel ID"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"CH0 \u2013 Eardrum signal"}),"\n",(0,a.jsx)(n.li,{children:"CH1 \u2013 Hearing aid front microphone"}),"\n",(0,a.jsx)(n.li,{children:"CH2 \u2013 Hearing aid middle microphone"}),"\n",(0,a.jsx)(n.li,{children:"CH3 \u2013 Hearing aid rear microphone"}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["The ",(0,a.jsx)(n.strong,{children:"anechoic signal"})," is the signal that will be used as the referernce in the HASPI evaluation."]}),"\n",(0,a.jsxs)(n.p,{children:["The ",(0,a.jsx)(n.strong,{children:"head rotation"})," signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured."]}),"\n",(0,a.jsx)(n.h3,{id:"d6-enhanced-signals",children:"D.6 Enhanced signals"}),"\n",(0,a.jsx)(n.p,{children:"The signals that are output by the baseline enhancement algorithm."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_enhanced.wav"})," # Enhancement output signal (i.e., as submitted by the challenge entrants)"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Listener ID \u2013 ID of the listener panel member, e.g., L001 to L100 for initial \u2018pseudo-listeners\u2019, etc."}),"\n",(0,a.jsx)(n.h3,{id:"d7-hearing-aid-output-signals",children:"D.7 Hearing-aid output signals"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HA-output.wav"})," # i.e., the enhanced signals after processing with the supplied hearing aid amplification."]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Listener ID \u2013 ID of the listener panel member, e.g., L001 to L100 for initial \u2018pseudo-listeners\u2019, etc."}),"\n",(0,a.jsx)(n.h3,{id:"d8-room-metadata",children:"D.8 Room metadata"}),"\n",(0,a.jsx)(n.p,{children:"JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="rooms.json"',children:'[\n {\n "name": "R00001", // ID of room linking to RAVEN rpf and ac files\n "dimensions": "6.9933x3x3", // Room dimensions in metres\n "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z)\n "position": [-0.3, 2.4, 1.2],\n "view_vector": [0.071, 0.997, 0.0],\n },\n "listener": {\n "position": [-0.1, 5.2, 1.2],\n "view_vector": [0.071, 0.997, 0.0],\n },\n "interferers": [\n {\n "position": [0.4, 4.0, 1.2],\n },\n { // etc, up to three interferers\n }\n ],\n },\n ...\n]\n'})}),"\n",(0,a.jsx)(n.h3,{id:"d9-scene-metadata",children:"D.9 Scene metadata"}),"\n",(0,a.jsxs)(n.p,{children:["JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section ",(0,a.jsx)(n.a,{href:"#d7-room-metadata",children:"D.7"}),") plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings."]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes.json"',children:'[\n {\n "scene": "S00001", // the unique scene ID\n "room":: "R00001", // ID of room linking to rooms.json\n "target": { \n "name": "T005_JYD_04274", // target speaker code and BNCid\n "time_start": 107210, // start time of target in samples\n "time_end": 217019 // end time of target in samples\n },\n "listener": {\n "rotation": [ // Defines the head motion - list of time, direction pairs\n {\n "sample": 88200,\n "angle": 30 // Azimuth angle in degrees\n },\n {\n "sample": 176400,\n "angle\u201d: 50 \n }\n ],\n "hrir_filename": \n ["VP_N4-ED",\n "VP_N4-BTE_fr",\n "VP_N4-BTE_mid",\n "VP_N4-BTE_rear"] // HRIR filename for each channel to generate\n },\n "interferers": [\n {\n "position": 1, // Index of interferer position (See rooms.json)\n "time_start": 0, // time of interferer onset in samples\n "time_end": 261119, // time of interferer offset in samples\n "name": "track_1353255", // interferer name\n "type": "music", // interferer type: speech, noise or music\n "offset": 4076256 // index into interferer file at which to extract sample\n },\n { // etc, up to three interferers\n }\n ],\n "dataset": "train", // the dataset to which the scene belongs: train, dev or eval\n "duration": 261119, // total duration of scene in samples\n "SNR": 6.89 // targe SNR for the scene\n },\n ...\n]\n'})}),"\n",(0,a.jsx)(n.p,{children:"There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room."}),"\n",(0,a.jsxs)(n.p,{children:["The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section ",(0,a.jsx)(n.a,{href:"#d9-listener-metadata",children:"D.9"}),")."]}),"\n",(0,a.jsx)(n.p,{children:"Noise interferers are labelled with a type \u201cmusic\u201d, \u201cnoise\u201d or \u201cspeech\u201d and then have a unique name identifying the file."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"speech"}),": ",(0,a.jsx)(n.code,{children:"<ACCENT_CODE>_<SPEAKER_ID>"})," where ",(0,a.jsx)(n.code,{children:"ACCENT_CODE"})," is a three letter code identify the accent region and gender of the speaker and ",(0,a.jsx)(n.code,{children:"SPEAKER_ID"}),' is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK ',(0,a.jsx)(n.strong,{children:"mi"}),"dlands accented ",(0,a.jsx)(n.strong,{children:"f"}),"emale, speaker 02484. The speech comes from Demirshan et al. [",(0,a.jsx)(n.a,{href:"#references",children:"1"}),"] which provides more details."]}),"\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"noise"}),": ",(0,a.jsx)(n.code,{children:"CIN_<NOISE_TYPE>_<NOISE_ID>"})," where ",(0,a.jsx)(n.code,{children:"NOISE_TYPE"})," is one of ",(0,a.jsx)(n.code,{children:"dishwasher"}),", ",(0,a.jsx)(n.code,{children:"fan"}),", ",(0,a.jsx)(n.code,{children:"hairdryer"}),", ",(0,a.jsx)(n.code,{children:"kettle"}),", ",(0,a.jsx)(n.code,{children:"microwave"}),", ",(0,a.jsx)(n.code,{children:"vacuum"})," (vacuum cleaner) or ",(0,a.jsx)(n.code,{children:"washing"})," (washing machine) and ",(0,a.jsx)(n.code,{children:"NOISE_ID"})," is a unique 3-digit code for the sample."]}),"\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"music"}),": ",(0,a.jsx)(n.code,{children:"track_<TRACK_ID>"})," where ",(0,a.jsx)(n.code,{children:"TRACK_ID"})," is unique 7-digit track identifier taken from the MTG Jamendo database. [",(0,a.jsx)(n.a,{href:"#references",children:"2"}),"]"]}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["Given the type and name, further interferer metadata can be found in the files ",(0,a.jsx)(n.code,{children:"masker_speech_list.json"}),", ",(0,a.jsx)(n.code,{children:"masker_noise_list.json"})," and ",(0,a.jsx)(n.code,{children:"masker_music_list.json"})," which are distributed with the challenge."]}),"\n",(0,a.jsx)(n.h3,{id:"d10-listener-metadata",children:"D.10 Listener metadata"}),"\n",(0,a.jsx)(n.p,{children:"Audiogram data is stored in a single JSON file with the following format."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{\n "L0001": {\n "name": "L0001",\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\n "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60],\n "audiogram_levels_r": [ \u2026 ],\n },\n "L0002": {\n // ... etc\n },\n // ... etc\n}\n'})}),"\n",(0,a.jsx)(n.p,{children:"Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS"}),"\n",(0,a.jsx)(n.h3,{id:"d11-scene-listener-map",children:"D.11 Scene-Listener map"}),"\n",(0,a.jsx)(n.p,{children:"JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes_listeners.json"',children:'{\n "S00001": ["L0001", "L0002", "L0003"],\n "S00002": ["L0003", "L0005", "L0007"],\n // ... etc\n}\n'})}),"\n",(0,a.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsxs)(n.li,{children:['Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, ',(0,a.jsx)(n.a,{href:"https://openslr.org/83/",children:"Avialable Online"})]}),"\n",(0,a.jsxs)(n.li,{children:['Bogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", ',(0,a.jsx)(n.a,{href:"https://mtg.github.io/mtg-jamendo-dataset/",children:"Available Online"})]}),"\n"]})]})}function u(e={}){const{wrapper:n}={...(0,t.a)(),...e.components};return n?(0,a.jsx)(n,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}},11151:(e,n,i)=>{i.d(n,{Z:()=>o,a:()=>r});var a=i(67294);const t={},s=a.createContext(t);function r(e){const n=a.useContext(s);return a.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:r(e.components),a.createElement(s.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/17566284.2a545051.js b/assets/js/17566284.2a545051.js deleted file mode 100644 index 38507a89a..000000000 --- a/assets/js/17566284.2a545051.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[3682],{53013:(e,t,i)=>{i.r(t),i.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>d,frontMatter:()=>a,metadata:()=>o,toc:()=>c});var s=i(85893),n=i(11151);const a={id:"cec2_listening_tests",title:"Listening Tests",sidebar_label:"Listening Tests",sidebar_position:8},r=void 0,o={id:"cec2/taking_part/cec2_listening_tests",title:"Listening Tests",description:"Overview",source:"@site/docs/cec2/taking_part/cec2_listening_tests.mdx",sourceDirName:"cec2/taking_part",slug:"/cec2/taking_part/cec2_listening_tests",permalink:"/docs/cec2/taking_part/cec2_listening_tests",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:8,frontMatter:{id:"cec2_listening_tests",title:"Listening Tests",sidebar_label:"Listening Tests",sidebar_position:8},sidebar:"tutorialSidebar_cec2",previous:{title:"Rules",permalink:"/docs/cec2/taking_part/cec2_rules"},next:{title:"Prizes",permalink:"/docs/cec2/taking_part/cec2_prizes"}},l={},c=[{value:"Overview",id:"overview",level:2},{value:"Listen@Home hardware",id:"listenhome-hardware",level:2},{value:"References",id:"references",level:2}];function h(e){const t={a:"a",h2:"h2",li:"li",ol:"ol",p:"p",ul:"ul",...(0,n.a)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(t.h2,{id:"overview",children:"Overview"}),"\n",(0,s.jsx)(t.p,{children:"The listeners will be provided with a USB stereo headset to complete the listening experiment. The experiment will be run by our \u201cListen@Home\u201d web software running on either the participant\u2019s own computer or a tablet we supply. The software plays each sentence once, then the participant speaks aloud what they think was said by the target talker. Their response is recorded by the headset\u2019s microphone for offline scoring. We ask that the participant uses a quiet room for the experiment."}),"\n",(0,s.jsx)(t.p,{children:"Intelligibility will be evaluated as the number of words identified correctly in the sentence."}),"\n",(0,s.jsx)(t.p,{children:"Our plan is that each listener will undertake a few hours of listening and evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible."}),"\n",(0,s.jsx)(t.p,{children:"Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn."}),"\n",(0,s.jsx)(t.h2,{id:"listenhome-hardware",children:"Listen@Home hardware"}),"\n",(0,s.jsx)(t.p,{children:"We will be using Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. 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We will also require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate."}),"\n",(0,s.jsx)(t.p,{children:"We will play the signals as is using an HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It\u2019s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves."}),"\n",(0,s.jsx)(t.h2,{id:"references",children:"References"}),"\n",(0,s.jsx)("a",{name:"refs"}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["ICRA standard noises, ",(0,s.jsx)(t.a,{href:"https://icra-audiology.org/Repository/icra-noise",children:"https://icra-audiology.org/Repository/icra-noise"}),". We used track #1."]}),"\n"]})]})}function d(e={}){const{wrapper:t}={...(0,n.a)(),...e.components};return t?(0,s.jsx)(t,{...e,children:(0,s.jsx)(h,{...e})}):h(e)}},11151:(e,t,i)=>{i.d(t,{Z:()=>o,a:()=>r});var s=i(67294);const n={},a=s.createContext(n);function r(e){const t=s.useContext(a);return s.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function o(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(n):e.components||n:r(e.components),s.createElement(a.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/17566284.dd02e847.js b/assets/js/17566284.dd02e847.js new file mode 100644 index 000000000..676d898f8 --- /dev/null +++ b/assets/js/17566284.dd02e847.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[5996],{41268:(e,t,i)=>{i.r(t),i.d(t,{assets:()=>l,contentTitle:()=>a,default:()=>d,frontMatter:()=>r,metadata:()=>o,toc:()=>c});var s=i(17624),n=i(4552);const r={id:"cec2_listening_tests",title:"Listening Tests",sidebar_label:"Listening Tests",sidebar_position:8},a=void 0,o={id:"cec2/taking_part/cec2_listening_tests",title:"Listening Tests",description:"Overview",source:"@site/docs/cec2/taking_part/cec2_listening_tests.mdx",sourceDirName:"cec2/taking_part",slug:"/cec2/taking_part/cec2_listening_tests",permalink:"/docs/cec2/taking_part/cec2_listening_tests",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:8,frontMatter:{id:"cec2_listening_tests",title:"Listening Tests",sidebar_label:"Listening Tests",sidebar_position:8},sidebar:"tutorialSidebar_cec2",previous:{title:"Rules",permalink:"/docs/cec2/taking_part/cec2_rules"},next:{title:"Prizes",permalink:"/docs/cec2/taking_part/cec2_prizes"}},l={},c=[{value:"Overview",id:"overview",level:2},{value:"Listen@Home hardware",id:"listenhome-hardware",level:2},{value:"References",id:"references",level:2}];function h(e){const t={a:"a",h2:"h2",li:"li",ol:"ol",p:"p",ul:"ul",...(0,n.M)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(t.h2,{id:"overview",children:"Overview"}),"\n",(0,s.jsx)(t.p,{children:"The listeners will be provided with a USB stereo headset to complete the listening experiment. 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_strictIndexOf(array, value, fromIndex) + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); +} + +/* harmony default export */ const _baseIndexOf = (baseIndexOf); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayIncludes.js + + +/** + * A specialized version of `_.includes` for arrays without support for + * specifying an index to search from. + * + * @private + * @param {Array} [array] The array to inspect. + * @param {*} target The value to search for. + * @returns {boolean} Returns `true` if `target` is found, else `false`. + */ +function arrayIncludes(array, value) { + var length = array == null ? 0 : array.length; + return !!length && _baseIndexOf(array, value, 0) > -1; +} + +/* harmony default export */ const _arrayIncludes = (arrayIncludes); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayIncludesWith.js +/** + * This function is like `arrayIncludes` except that it accepts a comparator. + * + * @private + * @param {Array} [array] The array to inspect. + * @param {*} target The value to search for. + * @param {Function} comparator The comparator invoked per element. + * @returns {boolean} Returns `true` if `target` is found, else `false`. + */ +function arrayIncludesWith(array, value, comparator) { + var index = -1, + length = array == null ? 0 : array.length; + + while (++index < length) { + if (comparator(value, array[index])) { + return true; + } + } + return false; +} + +/* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js +var _cacheHas = __webpack_require__(5960); +// EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js +var _Set = __webpack_require__(61268); +;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js +/** + * This method returns `undefined`. + * + * @static + * @memberOf _ + * @since 2.3.0 + * @category Util + * @example + * + * _.times(2, _.noop); + * // => [undefined, undefined] + */ +function noop() { + // No operation performed. +} + +/* harmony default export */ const lodash_es_noop = (noop); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js +var _setToArray = __webpack_require__(68872); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js + + + + +/** Used as references for various `Number` constants. */ +var INFINITY = 1 / 0; + +/** + * Creates a set object of `values`. + * + * @private + * @param {Array} values The values to add to the set. + * @returns {Object} Returns the new set. + */ +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); +}; + +/* harmony default export */ const _createSet = (createSet); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseUniq.js + + + + + + + +/** Used as the size to enable large array optimizations. */ +var LARGE_ARRAY_SIZE = 200; + +/** + * The base implementation of `_.uniqBy` without support for iteratee shorthands. + * + * @private + * @param {Array} array The array to inspect. + * @param {Function} [iteratee] The iteratee invoked per element. + * @param {Function} [comparator] The comparator invoked per element. + * @returns {Array} Returns the new duplicate free array. + */ +function baseUniq(array, iteratee, comparator) { + var index = -1, + includes = _arrayIncludes, + length = array.length, + isCommon = true, + result = [], + seen = result; + + if (comparator) { + isCommon = false; + includes = _arrayIncludesWith; + } + else if (length >= LARGE_ARRAY_SIZE) { + var set = iteratee ? null : _createSet(array); + if (set) { + return (0,_setToArray/* default */.c)(set); + } + isCommon = false; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; + } + else { + seen = iteratee ? [] : result; + } + outer: + while (++index < length) { + var value = array[index], + computed = iteratee ? iteratee(value) : value; + + value = (comparator || value !== 0) ? value : 0; + if (isCommon && computed === computed) { + var seenIndex = seen.length; + while (seenIndex--) { + if (seen[seenIndex] === computed) { + continue outer; + } + } + if (iteratee) { + seen.push(computed); + } + result.push(value); + } + else if (!includes(seen, computed, comparator)) { + if (seen !== result) { + seen.push(computed); + } + result.push(value); + } + } + return result; +} + +/* harmony default export */ const _baseUniq = (baseUniq); + +// EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js +var isArrayLikeObject = __webpack_require__(19724); +;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js + + + + + +/** + * Creates an array of unique values, in order, from all given arrays using + * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero) + * for equality comparisons. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Array + * @param {...Array} [arrays] The arrays to inspect. + * @returns {Array} Returns the new array of combined values. + * @example + * + * _.union([2], [1, 2]); + * // => [2, 1] + */ +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); +}); + +/* harmony default export */ const lodash_es_union = (union); + +// EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules +var values = __webpack_require__(36); +// EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules +var reduce = __webpack_require__(90460); +;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + + +var DEFAULT_EDGE_NAME = '\x00'; +var GRAPH_NODE = '\x00'; +var EDGE_KEY_DELIM = '\x01'; + +// Implementation notes: +// +// * Node id query functions should return string ids for the nodes +// * Edge id query functions should return an "edgeObj", edge object, that is +// composed of enough information to uniquely identify an edge: {v, w, name}. +// * Internally we use an "edgeId", a stringified form of the edgeObj, to +// reference edges. This is because we need a performant way to look these +// edges up and, object properties, which have string keys, are the closest +// we're going to get to a performant hashtable in JavaScript. + +// Implementation notes: +// +// * Node id query functions should return string ids for the nodes +// * Edge id query functions should return an "edgeObj", edge object, that is +// composed of enough information to uniquely identify an edge: {v, w, name}. +// * Internally we use an "edgeId", a stringified form of the edgeObj, to +// reference edges. This is because we need a performant way to look these +// edges up and, object properties, which have string keys, are the closest +// we're going to get to a performant hashtable in JavaScript. +class Graph { + constructor(opts = {}) { + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; + + // Label for the graph itself + this._label = undefined; + + // Defaults to be set when creating a new node + this._defaultNodeLabelFn = constant/* default */.c(undefined); + + // Defaults to be set when creating a new edge + this._defaultEdgeLabelFn = constant/* default */.c(undefined); + + // v -> label + this._nodes = {}; + + if (this._isCompound) { + // v -> parent + this._parent = {}; + + // v -> children + this._children = {}; + this._children[GRAPH_NODE] = {}; + } + + // v -> edgeObj + this._in = {}; + + // u -> v -> Number + this._preds = {}; + + // v -> edgeObj + this._out = {}; + + // v -> w -> Number + this._sucs = {}; + + // e -> edgeObj + this._edgeObjs = {}; + + // e -> label + this._edgeLabels = {}; + } + /* === Graph functions ========= */ + isDirected() { + return this._isDirected; + } + isMultigraph() { + return this._isMultigraph; + } + isCompound() { + return this._isCompound; + } + setGraph(label) { + this._label = label; + return this; + } + graph() { + return this._label; + } + /* === Node functions ========== */ + setDefaultNodeLabel(newDefault) { + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); + } + this._defaultNodeLabelFn = newDefault; + return this; + } + nodeCount() { + return this._nodeCount; + } + nodes() { + return keys/* default */.c(this._nodes); + } + sources() { + var self = this; + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); + }); + } + sinks() { + var self = this; + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); + }); + } + setNodes(vs, value) { + var args = arguments; + var self = this; + forEach/* default */.c(vs, function (v) { + if (args.length > 1) { + self.setNode(v, value); + } else { + self.setNode(v); + } + }); + return this; + } + setNode(v, value) { + if (has/* default */.c(this._nodes, v)) { + if (arguments.length > 1) { + this._nodes[v] = value; + } + return this; + } + + // @ts-expect-error + this._nodes[v] = arguments.length > 1 ? value : this._defaultNodeLabelFn(v); + if (this._isCompound) { + this._parent[v] = GRAPH_NODE; + this._children[v] = {}; + this._children[GRAPH_NODE][v] = true; + } + this._in[v] = {}; + this._preds[v] = {}; + this._out[v] = {}; + this._sucs[v] = {}; + ++this._nodeCount; + return this; + } + node(v) { + return this._nodes[v]; + } + hasNode(v) { + return has/* default */.c(this._nodes, v); + } + removeNode(v) { + var self = this; + if (has/* default */.c(this._nodes, v)) { + var removeEdge = function (e) { + self.removeEdge(self._edgeObjs[e]); + }; + delete this._nodes[v]; + if (this._isCompound) { + this._removeFromParentsChildList(v); + delete this._parent[v]; + forEach/* default */.c(this.children(v), function (child) { + self.setParent(child); + }); + delete this._children[v]; + } + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); + delete this._in[v]; + delete this._preds[v]; + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); + delete this._out[v]; + delete this._sucs[v]; + --this._nodeCount; + } + return this; + } + setParent(v, parent) { + if (!this._isCompound) { + throw new Error('Cannot set parent in a non-compound graph'); + } + + if (isUndefined/* default */.c(parent)) { + parent = GRAPH_NODE; + } else { + // Coerce parent to string + parent += ''; + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { + if (ancestor === v) { + throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); + } + } + + this.setNode(parent); + } + + this.setNode(v); + this._removeFromParentsChildList(v); + this._parent[v] = parent; + this._children[parent][v] = true; + return this; + } + _removeFromParentsChildList(v) { + delete this._children[this._parent[v]][v]; + } + parent(v) { + if (this._isCompound) { + var parent = this._parent[v]; + if (parent !== GRAPH_NODE) { + return parent; + } + } + } + children(v) { + if (isUndefined/* default */.c(v)) { + v = GRAPH_NODE; + } + + if (this._isCompound) { + var children = this._children[v]; + if (children) { + return keys/* default */.c(children); + } + } else if (v === GRAPH_NODE) { + return this.nodes(); + } else if (this.hasNode(v)) { + return []; + } + } + predecessors(v) { + var predsV = this._preds[v]; + if (predsV) { + return keys/* default */.c(predsV); + } + } + successors(v) { + var sucsV = this._sucs[v]; + if (sucsV) { + return keys/* default */.c(sucsV); + } + } + neighbors(v) { + var preds = this.predecessors(v); + if (preds) { + return lodash_es_union(preds, this.successors(v)); + } + } + isLeaf(v) { + var neighbors; + if (this.isDirected()) { + neighbors = this.successors(v); + } else { + neighbors = this.neighbors(v); + } + return neighbors.length === 0; + } + filterNodes(filter) { + // @ts-expect-error + var copy = new this.constructor({ + directed: this._isDirected, + multigraph: this._isMultigraph, + compound: this._isCompound, + }); + + copy.setGraph(this.graph()); + + var self = this; + forEach/* default */.c(this._nodes, function (value, v) { + if (filter(v)) { + copy.setNode(v, value); + } + }); + + forEach/* default */.c(this._edgeObjs, function (e) { + // @ts-expect-error + if (copy.hasNode(e.v) && copy.hasNode(e.w)) { + copy.setEdge(e, self.edge(e)); + } + }); + + var parents = {}; + function findParent(v) { + var parent = self.parent(v); + if (parent === undefined || copy.hasNode(parent)) { + parents[v] = parent; + return parent; + } else if (parent in parents) { + return parents[parent]; + } else { + return findParent(parent); + } + } + + if (this._isCompound) { + forEach/* default */.c(copy.nodes(), function (v) { + copy.setParent(v, findParent(v)); + }); + } + + return copy; + } + /* === Edge functions ========== */ + setDefaultEdgeLabel(newDefault) { + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); + } + this._defaultEdgeLabelFn = newDefault; + return this; + } + edgeCount() { + return this._edgeCount; + } + edges() { + return values/* default */.c(this._edgeObjs); + } + setPath(vs, value) { + var self = this; + var args = arguments; + reduce/* default */.c(vs, function (v, w) { + if (args.length > 1) { + self.setEdge(v, w, value); + } else { + self.setEdge(v, w); + } + return w; + }); + return this; + } + /* + * setEdge(v, w, [value, [name]]) + * setEdge({ v, w, [name] }, [value]) + */ + setEdge() { + var v, w, name, value; + var valueSpecified = false; + var arg0 = arguments[0]; + + if (typeof arg0 === 'object' && arg0 !== null && 'v' in arg0) { + v = arg0.v; + w = arg0.w; + name = arg0.name; + if (arguments.length === 2) { + value = arguments[1]; + valueSpecified = true; + } + } else { + v = arg0; + w = arguments[1]; + name = arguments[3]; + if (arguments.length > 2) { + value = arguments[2]; + valueSpecified = true; + } + } + + v = '' + v; + w = '' + w; + if (!isUndefined/* default */.c(name)) { + name = '' + name; + } + + var e = edgeArgsToId(this._isDirected, v, w, name); + if (has/* default */.c(this._edgeLabels, e)) { + if (valueSpecified) { + this._edgeLabels[e] = value; + } + return this; + } + + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { + throw new Error('Cannot set a named edge when isMultigraph = false'); + } + + // It didn't exist, so we need to create it. + // First ensure the nodes exist. + this.setNode(v); + this.setNode(w); + + // @ts-expect-error + this._edgeLabels[e] = valueSpecified ? value : this._defaultEdgeLabelFn(v, w, name); + + var edgeObj = edgeArgsToObj(this._isDirected, v, w, name); + // Ensure we add undirected edges in a consistent way. + v = edgeObj.v; + w = edgeObj.w; + + Object.freeze(edgeObj); + this._edgeObjs[e] = edgeObj; + incrementOrInitEntry(this._preds[w], v); + incrementOrInitEntry(this._sucs[v], w); + this._in[w][e] = edgeObj; + this._out[v][e] = edgeObj; + this._edgeCount++; + return this; + } + edge(v, w, name) { + var e = + arguments.length === 1 + ? edgeObjToId(this._isDirected, arguments[0]) + : edgeArgsToId(this._isDirected, v, w, name); + return this._edgeLabels[e]; + } + hasEdge(v, w, name) { + var e = + arguments.length === 1 + ? edgeObjToId(this._isDirected, arguments[0]) + : edgeArgsToId(this._isDirected, v, w, name); + return has/* default */.c(this._edgeLabels, e); + } + removeEdge(v, w, name) { + var e = + arguments.length === 1 + ? edgeObjToId(this._isDirected, arguments[0]) + : edgeArgsToId(this._isDirected, v, w, name); + var edge = this._edgeObjs[e]; + if (edge) { + v = edge.v; + w = edge.w; + delete this._edgeLabels[e]; + delete this._edgeObjs[e]; + decrementOrRemoveEntry(this._preds[w], v); + decrementOrRemoveEntry(this._sucs[v], w); + delete this._in[w][e]; + delete this._out[v][e]; + this._edgeCount--; + } + return this; + } + inEdges(v, u) { + var inV = this._in[v]; + if (inV) { + var edges = values/* default */.c(inV); + if (!u) { + return edges; + } + return filter/* default */.c(edges, function (edge) { + return edge.v === u; + }); + } + } + outEdges(v, w) { + var outV = this._out[v]; + if (outV) { + var edges = values/* default */.c(outV); + if (!w) { + return edges; + } + return filter/* default */.c(edges, function (edge) { + return edge.w === w; + }); + } + } + nodeEdges(v, w) { + var inEdges = this.inEdges(v, w); + if (inEdges) { + return inEdges.concat(this.outEdges(v, w)); + } + } +} + +/* Number of nodes in the graph. Should only be changed by the implementation. */ +Graph.prototype._nodeCount = 0; + +/* Number of edges in the graph. Should only be changed by the implementation. */ +Graph.prototype._edgeCount = 0; + +function incrementOrInitEntry(map, k) { + if (map[k]) { + map[k]++; + } else { + map[k] = 1; + } +} + +function decrementOrRemoveEntry(map, k) { + if (!--map[k]) { + delete map[k]; + } +} + +function edgeArgsToId(isDirected, v_, w_, name) { + var v = '' + v_; + var w = '' + w_; + if (!isDirected && v > w) { + var tmp = v; + v = w; + w = tmp; + } + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); +} + +function edgeArgsToObj(isDirected, v_, w_, name) { + var v = '' + v_; + var w = '' + w_; + if (!isDirected && v > w) { + var tmp = v; + v = w; + w = tmp; + } + var edgeObj = { v: v, w: w }; + if (name) { + edgeObj.name = name; + } + return edgeObj; +} + +function edgeObjToId(isDirected, edgeObj) { + return edgeArgsToId(isDirected, edgeObj.v, edgeObj.w, edgeObj.name); +} + + +/***/ }), + +/***/ 95536: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) +/* harmony export */ }); +/* unused harmony export version */ +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); +// Includes only the "core" of graphlib + + + +const version = '2.1.9-pre'; + + + + +/***/ }), + +/***/ 21048: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _utils_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(89612); +/* harmony import */ var _color_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72120); +/* IMPORT */ + + +/* MAIN */ +const channel = (color, channel) => { + return _utils_index_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c.lang.round(_color_index_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c.parse(color)[channel]); +}; +/* EXPORT */ +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (channel); + + +/***/ }), + +/***/ 34528: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ _SetCache) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules +var _MapCache = __webpack_require__(86320); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js +/** Used to stand-in for `undefined` hash values. */ +var HASH_UNDEFINED = '__lodash_hash_undefined__'; + +/** + * Adds `value` to the array cache. + * + * @private + * @name add + * @memberOf SetCache + * @alias push + * @param {*} value The value to cache. + * @returns {Object} Returns the cache instance. + */ +function setCacheAdd(value) { + this.__data__.set(value, HASH_UNDEFINED); + return this; +} + +/* harmony default export */ const _setCacheAdd = (setCacheAdd); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheHas.js +/** + * Checks if `value` is in the array cache. + * + * @private + * @name has + * @memberOf SetCache + * @param {*} value The value to search for. + * @returns {number} Returns `true` if `value` is found, else `false`. + */ +function setCacheHas(value) { + return this.__data__.has(value); +} + +/* harmony default export */ const _setCacheHas = (setCacheHas); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_SetCache.js + + + + +/** + * + * Creates an array cache object to store unique values. + * + * @private + * @constructor + * @param {Array} [values] The values to cache. + */ +function SetCache(values) { + var index = -1, + length = values == null ? 0 : values.length; + + this.__data__ = new _MapCache/* default */.c; + while (++index < length) { + this.add(values[index]); + } +} + +// Add methods to `SetCache`. +SetCache.prototype.add = SetCache.prototype.push = _setCacheAdd; +SetCache.prototype.has = _setCacheHas; + +/* harmony default export */ const _SetCache = (SetCache); + + +/***/ }), + +/***/ 56812: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * A specialized version of `_.forEach` for arrays without support for + * iteratee shorthands. + * + * @private + * @param {Array} [array] The array to iterate over. + * @param {Function} iteratee The function invoked per iteration. + * @returns {Array} Returns `array`. + */ +function arrayEach(array, iteratee) { + var index = -1, + length = array == null ? 0 : array.length; + + while (++index < length) { + if (iteratee(array[index], index, array) === false) { + break; + } + } + return array; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (arrayEach); + + +/***/ }), + +/***/ 46091: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * A specialized version of `_.filter` for arrays without support for + * iteratee shorthands. + * + * @private + * @param {Array} [array] The array to iterate over. + * @param {Function} predicate The function invoked per iteration. + * @returns {Array} Returns the new filtered array. + */ +function arrayFilter(array, predicate) { + var index = -1, + length = array == null ? 0 : array.length, + resIndex = 0, + result = []; + + while (++index < length) { + var value = array[index]; + if (predicate(value, index, array)) { + result[resIndex++] = value; + } + } + return result; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (arrayFilter); + + +/***/ }), + +/***/ 1304: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * A specialized version of `_.map` for arrays without support for iteratee + * shorthands. + * + * @private + * @param {Array} [array] The array to iterate over. + * @param {Function} iteratee The function invoked per iteration. + * @returns {Array} Returns the new mapped array. + */ +function arrayMap(array, iteratee) { + var index = -1, + length = array == null ? 0 : array.length, + result = Array(length); + + while (++index < length) { + result[index] = iteratee(array[index], index, array); + } + return result; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (arrayMap); + + +/***/ }), + +/***/ 25072: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * Appends the elements of `values` to `array`. + * + * @private + * @param {Array} array The array to modify. + * @param {Array} values The values to append. + * @returns {Array} Returns `array`. + */ +function arrayPush(array, values) { + var index = -1, + length = values.length, + offset = array.length; + + while (++index < length) { + array[offset + index] = values[index]; + } + return array; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (arrayPush); + + +/***/ }), + +/***/ 48492: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ _baseClone) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules +var _Stack = __webpack_require__(97184); +// EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js +var _arrayEach = __webpack_require__(56812); +// EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js +var _assignValue = __webpack_require__(77412); +// EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js +var _copyObject = __webpack_require__(58904); +// EXTERNAL MODULE: ./node_modules/lodash-es/keys.js +var keys = __webpack_require__(62420); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js + + + +/** + * The base implementation of `_.assign` without support for multiple sources + * or `customizer` functions. + * + * @private + * @param {Object} object The destination object. + * @param {Object} source The source object. + * @returns {Object} Returns `object`. + */ +function baseAssign(object, source) { + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); +} + +/* harmony default export */ const _baseAssign = (baseAssign); + +// EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules +var keysIn = __webpack_require__(97000); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js + + + +/** + * The base implementation of `_.assignIn` without support for multiple sources + * or `customizer` functions. + * + * @private + * @param {Object} object The destination object. + * @param {Object} source The source object. + * @returns {Object} Returns `object`. + */ +function baseAssignIn(object, source) { + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); +} + +/* harmony default export */ const _baseAssignIn = (baseAssignIn); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js +var _cloneBuffer = __webpack_require__(86656); +// EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js +var _copyArray = __webpack_require__(32488); +// EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js +var _getSymbols = __webpack_require__(10772); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js + + + +/** + * Copies own symbols of `source` to `object`. + * + * @private + * @param {Object} source The object to copy symbols from. + * @param {Object} [object={}] The object to copy symbols to. + * @returns {Object} Returns `object`. + */ +function copySymbols(source, object) { + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); +} + +/* harmony default export */ const _copySymbols = (copySymbols); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js +var _arrayPush = __webpack_require__(25072); +// EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js +var _getPrototype = __webpack_require__(75388); +// EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js +var stubArray = __webpack_require__(41716); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js + + + + + +/* Built-in method references for those with the same name as other `lodash` methods. */ +var nativeGetSymbols = Object.getOwnPropertySymbols; + +/** + * Creates an array of the own and inherited enumerable symbols of `object`. + * + * @private + * @param {Object} object The object to query. + * @returns {Array} Returns the array of symbols. + */ +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { + var result = []; + while (object) { + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); + } + return result; +}; + +/* harmony default export */ const _getSymbolsIn = (getSymbolsIn); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbolsIn.js + + + +/** + * Copies own and inherited symbols of `source` to `object`. + * + * @private + * @param {Object} source The object to copy symbols from. + * @param {Object} [object={}] The object to copy symbols to. + * @returns {Object} Returns `object`. + */ +function copySymbolsIn(source, object) { + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); +} + +/* harmony default export */ const _copySymbolsIn = (copySymbolsIn); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js +var _getAllKeys = __webpack_require__(22980); +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js +var _baseGetAllKeys = __webpack_require__(30176); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js + + + + +/** + * Creates an array of own and inherited enumerable property names and + * symbols of `object`. + * + * @private + * @param {Object} object The object to query. + * @returns {Array} Returns the array of property names and symbols. + */ +function getAllKeysIn(object) { + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); +} + +/* harmony default export */ const _getAllKeysIn = (getAllKeysIn); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules +var _getTag = __webpack_require__(17188); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** Used to check objects for own properties. */ +var _initCloneArray_hasOwnProperty = objectProto.hasOwnProperty; + +/** + * Initializes an array clone. + * + * @private + * @param {Array} array The array to clone. + * @returns {Array} Returns the initialized clone. + */ +function initCloneArray(array) { + var length = array.length, + result = new array.constructor(length); + + // Add properties assigned by `RegExp#exec`. + if (length && typeof array[0] == 'string' && _initCloneArray_hasOwnProperty.call(array, 'index')) { + result.index = array.index; + result.input = array.input; + } + return result; +} + +/* harmony default export */ const _initCloneArray = (initCloneArray); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js +var _cloneArrayBuffer = __webpack_require__(40976); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js + + +/** + * Creates a clone of `dataView`. + * + * @private + * @param {Object} dataView The data view to clone. + * @param {boolean} [isDeep] Specify a deep clone. + * @returns {Object} Returns the cloned data view. + */ +function cloneDataView(dataView, isDeep) { + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; + return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); +} + +/* harmony default export */ const _cloneDataView = (cloneDataView); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneRegExp.js +/** Used to match `RegExp` flags from their coerced string values. */ +var reFlags = /\w*$/; + +/** + * Creates a clone of `regexp`. + * + * @private + * @param {Object} regexp The regexp to clone. + * @returns {Object} Returns the cloned regexp. + */ +function cloneRegExp(regexp) { + var result = new regexp.constructor(regexp.source, reFlags.exec(regexp)); + result.lastIndex = regexp.lastIndex; + return result; +} + +/* harmony default export */ const _cloneRegExp = (cloneRegExp); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js +var _Symbol = __webpack_require__(24048); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js + + +/** Used to convert symbols to primitives and strings. */ +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, + symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; + +/** + * Creates a clone of the `symbol` object. + * + * @private + * @param {Object} symbol The symbol object to clone. + * @returns {Object} Returns the cloned symbol object. + */ +function cloneSymbol(symbol) { + return symbolValueOf ? Object(symbolValueOf.call(symbol)) : {}; +} + +/* harmony default export */ const _cloneSymbol = (cloneSymbol); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js +var _cloneTypedArray = __webpack_require__(70552); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js + + + + + + +/** `Object#toString` result references. */ +var boolTag = '[object Boolean]', + dateTag = '[object Date]', + mapTag = '[object Map]', + numberTag = '[object Number]', + regexpTag = '[object RegExp]', + setTag = '[object Set]', + stringTag = '[object String]', + symbolTag = '[object Symbol]'; + +var arrayBufferTag = '[object ArrayBuffer]', + dataViewTag = '[object DataView]', + float32Tag = '[object Float32Array]', + float64Tag = '[object Float64Array]', + int8Tag = '[object Int8Array]', + int16Tag = '[object Int16Array]', + int32Tag = '[object Int32Array]', + uint8Tag = '[object Uint8Array]', + uint8ClampedTag = '[object Uint8ClampedArray]', + uint16Tag = '[object Uint16Array]', + uint32Tag = '[object Uint32Array]'; + +/** + * Initializes an object clone based on its `toStringTag`. + * + * **Note:** This function only supports cloning values with tags of + * `Boolean`, `Date`, `Error`, `Map`, `Number`, `RegExp`, `Set`, or `String`. + * + * @private + * @param {Object} object The object to clone. + * @param {string} tag The `toStringTag` of the object to clone. + * @param {boolean} [isDeep] Specify a deep clone. + * @returns {Object} Returns the initialized clone. + */ +function initCloneByTag(object, tag, isDeep) { + var Ctor = object.constructor; + switch (tag) { + case arrayBufferTag: + return (0,_cloneArrayBuffer/* default */.c)(object); + + case boolTag: + case dateTag: + return new Ctor(+object); + + case dataViewTag: + return _cloneDataView(object, isDeep); + + case float32Tag: case float64Tag: + case int8Tag: case int16Tag: case int32Tag: + case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: + return (0,_cloneTypedArray/* default */.c)(object, isDeep); + + case mapTag: + return new Ctor; + + case numberTag: + case stringTag: + return new Ctor(object); + + case regexpTag: + return _cloneRegExp(object); + + case setTag: + return new Ctor; + + case symbolTag: + return _cloneSymbol(object); + } +} + +/* harmony default export */ const _initCloneByTag = (initCloneByTag); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules +var _initCloneObject = __webpack_require__(1684); +// EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js +var isArray = __webpack_require__(78820); +// EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules +var isBuffer = __webpack_require__(57274); +// EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js +var isObjectLike = __webpack_require__(23584); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js + + + +/** `Object#toString` result references. */ +var _baseIsMap_mapTag = '[object Map]'; + +/** + * The base implementation of `_.isMap` without Node.js optimizations. + * + * @private + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is a map, else `false`. + */ +function baseIsMap(value) { + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; +} + +/* harmony default export */ const _baseIsMap = (baseIsMap); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js +var _baseUnary = __webpack_require__(71180); +// EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js +var _nodeUtil = __webpack_require__(17576); +;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js + + + + +/* Node.js helper references. */ +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; + +/** + * Checks if `value` is classified as a `Map` object. + * + * @static + * @memberOf _ + * @since 4.3.0 + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is a map, else `false`. + * @example + * + * _.isMap(new Map); + * // => true + * + * _.isMap(new WeakMap); + * // => false + */ +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; + +/* harmony default export */ const lodash_es_isMap = (isMap); + +// EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js +var isObject = __webpack_require__(5368); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js + + + +/** `Object#toString` result references. */ +var _baseIsSet_setTag = '[object Set]'; + +/** + * The base implementation of `_.isSet` without Node.js optimizations. + * + * @private + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is a set, else `false`. + */ +function baseIsSet(value) { + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; +} + +/* harmony default export */ const _baseIsSet = (baseIsSet); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/isSet.js + + + + +/* Node.js helper references. */ +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; + +/** + * Checks if `value` is classified as a `Set` object. + * + * @static + * @memberOf _ + * @since 4.3.0 + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is a set, else `false`. + * @example + * + * _.isSet(new Set); + * // => true + * + * _.isSet(new WeakSet); + * // => false + */ +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; + +/* harmony default export */ const lodash_es_isSet = (isSet); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseClone.js + + + + + + + + + + + + + + + + + + + + + + + +/** Used to compose bitmasks for cloning. */ +var CLONE_DEEP_FLAG = 1, + CLONE_FLAT_FLAG = 2, + CLONE_SYMBOLS_FLAG = 4; + +/** `Object#toString` result references. */ +var argsTag = '[object Arguments]', + arrayTag = '[object Array]', + _baseClone_boolTag = '[object Boolean]', + _baseClone_dateTag = '[object Date]', + errorTag = '[object Error]', + funcTag = '[object Function]', + genTag = '[object GeneratorFunction]', + _baseClone_mapTag = '[object Map]', + _baseClone_numberTag = '[object Number]', + objectTag = '[object Object]', + _baseClone_regexpTag = '[object RegExp]', + _baseClone_setTag = '[object Set]', + _baseClone_stringTag = '[object String]', + _baseClone_symbolTag = '[object Symbol]', + weakMapTag = '[object WeakMap]'; + +var _baseClone_arrayBufferTag = '[object ArrayBuffer]', + _baseClone_dataViewTag = '[object DataView]', + _baseClone_float32Tag = '[object Float32Array]', + _baseClone_float64Tag = '[object Float64Array]', + _baseClone_int8Tag = '[object Int8Array]', + _baseClone_int16Tag = '[object Int16Array]', + _baseClone_int32Tag = '[object Int32Array]', + _baseClone_uint8Tag = '[object Uint8Array]', + _baseClone_uint8ClampedTag = '[object Uint8ClampedArray]', + _baseClone_uint16Tag = '[object Uint16Array]', + _baseClone_uint32Tag = '[object Uint32Array]'; + +/** Used to identify `toStringTag` values supported by `_.clone`. */ +var cloneableTags = {}; +cloneableTags[argsTag] = cloneableTags[arrayTag] = +cloneableTags[_baseClone_arrayBufferTag] = cloneableTags[_baseClone_dataViewTag] = +cloneableTags[_baseClone_boolTag] = cloneableTags[_baseClone_dateTag] = +cloneableTags[_baseClone_float32Tag] = cloneableTags[_baseClone_float64Tag] = +cloneableTags[_baseClone_int8Tag] = cloneableTags[_baseClone_int16Tag] = +cloneableTags[_baseClone_int32Tag] = cloneableTags[_baseClone_mapTag] = +cloneableTags[_baseClone_numberTag] = cloneableTags[objectTag] = +cloneableTags[_baseClone_regexpTag] = cloneableTags[_baseClone_setTag] = +cloneableTags[_baseClone_stringTag] = cloneableTags[_baseClone_symbolTag] = +cloneableTags[_baseClone_uint8Tag] = cloneableTags[_baseClone_uint8ClampedTag] = +cloneableTags[_baseClone_uint16Tag] = cloneableTags[_baseClone_uint32Tag] = true; +cloneableTags[errorTag] = cloneableTags[funcTag] = +cloneableTags[weakMapTag] = false; + +/** + * The base implementation of `_.clone` and `_.cloneDeep` which tracks + * traversed objects. + * + * @private + * @param {*} value The value to clone. + * @param {boolean} bitmask The bitmask flags. + * 1 - Deep clone + * 2 - Flatten inherited properties + * 4 - Clone symbols + * @param {Function} [customizer] The function to customize cloning. + * @param {string} [key] The key of `value`. + * @param {Object} [object] The parent object of `value`. + * @param {Object} [stack] Tracks traversed objects and their clone counterparts. + * @returns {*} Returns the cloned value. + */ +function baseClone(value, bitmask, customizer, key, object, stack) { + var result, + isDeep = bitmask & CLONE_DEEP_FLAG, + isFlat = bitmask & CLONE_FLAT_FLAG, + isFull = bitmask & CLONE_SYMBOLS_FLAG; + + if (customizer) { + result = object ? customizer(value, key, object, stack) : customizer(value); + } + if (result !== undefined) { + return result; + } + if (!(0,isObject/* default */.c)(value)) { + return value; + } + var isArr = (0,isArray/* default */.c)(value); + if (isArr) { + result = _initCloneArray(value); + if (!isDeep) { + return (0,_copyArray/* default */.c)(value, result); + } + } else { + var tag = (0,_getTag/* default */.c)(value), + isFunc = tag == funcTag || tag == genTag; + + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); + } + if (tag == objectTag || tag == argsTag || (isFunc && !object)) { + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); + if (!isDeep) { + return isFlat + ? _copySymbolsIn(value, _baseAssignIn(result, value)) + : _copySymbols(value, _baseAssign(result, value)); + } + } else { + if (!cloneableTags[tag]) { + return object ? value : {}; + } + result = _initCloneByTag(value, tag, isDeep); + } + } + // Check for circular references and return its corresponding clone. + stack || (stack = new _Stack/* default */.c); + var stacked = stack.get(value); + if (stacked) { + return stacked; + } + stack.set(value, result); + + if (lodash_es_isSet(value)) { + value.forEach(function(subValue) { + result.add(baseClone(subValue, bitmask, customizer, subValue, value, stack)); + }); + } else if (lodash_es_isMap(value)) { + value.forEach(function(subValue, key) { + result.set(key, baseClone(subValue, bitmask, customizer, key, value, stack)); + }); + } + + var keysFunc = isFull + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); + + var props = isArr ? undefined : keysFunc(value); + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { + if (props) { + key = subValue; + subValue = value[key]; + } + // Recursively populate clone (susceptible to call stack limits). + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + }); + return result; +} + +/* harmony default export */ const _baseClone = (baseClone); + + +/***/ }), + +/***/ 92816: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ _baseEach) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js +var _baseForOwn = __webpack_require__(79985); +// EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js +var isArrayLike = __webpack_require__(42440); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js + + +/** + * Creates a `baseEach` or `baseEachRight` function. + * + * @private + * @param {Function} eachFunc The function to iterate over a collection. + * @param {boolean} [fromRight] Specify iterating from right to left. + * @returns {Function} Returns the new base function. + */ +function createBaseEach(eachFunc, fromRight) { + return function(collection, iteratee) { + if (collection == null) { + return collection; + } + if (!(0,isArrayLike/* default */.c)(collection)) { + return eachFunc(collection, iteratee); + } + var length = collection.length, + index = fromRight ? length : -1, + iterable = Object(collection); + + while ((fromRight ? index-- : ++index < length)) { + if (iteratee(iterable[index], index, iterable) === false) { + break; + } + } + return collection; + }; +} + +/* harmony default export */ const _createBaseEach = (createBaseEach); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseEach.js + + + +/** + * The base implementation of `_.forEach` without support for iteratee shorthands. + * + * @private + * @param {Array|Object} collection The collection to iterate over. + * @param {Function} iteratee The function invoked per iteration. + * @returns {Array|Object} Returns `collection`. + */ +var baseEach = _createBaseEach(_baseForOwn/* default */.c); + +/* harmony default export */ const _baseEach = (baseEach); + + +/***/ }), + +/***/ 16428: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * The base implementation of `_.findIndex` and `_.findLastIndex` without + * support for iteratee shorthands. + * + * @private + * @param {Array} array The array to inspect. + * @param {Function} predicate The function invoked per iteration. + * @param {number} fromIndex The index to search from. + * @param {boolean} [fromRight] Specify iterating from right to left. + * @returns {number} Returns the index of the matched value, else `-1`. + */ +function baseFindIndex(array, predicate, fromIndex, fromRight) { + var length = array.length, + index = fromIndex + (fromRight ? 1 : -1); + + while ((fromRight ? index-- : ++index < length)) { + if (predicate(array[index], index, array)) { + return index; + } + } + return -1; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseFindIndex); + + +/***/ }), + +/***/ 40571: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ _baseFlatten) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js +var _arrayPush = __webpack_require__(25072); +// EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js +var _Symbol = __webpack_require__(24048); +// EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules +var isArguments = __webpack_require__(59636); +// EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js +var isArray = __webpack_require__(78820); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js + + + + +/** Built-in value references. */ +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; + +/** + * Checks if `value` is a flattenable `arguments` object or array. + * + * @private + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. + */ +function isFlattenable(value) { + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || + !!(spreadableSymbol && value && value[spreadableSymbol]); +} + +/* harmony default export */ const _isFlattenable = (isFlattenable); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFlatten.js + + + +/** + * The base implementation of `_.flatten` with support for restricting flattening. + * + * @private + * @param {Array} array The array to flatten. + * @param {number} depth The maximum recursion depth. + * @param {boolean} [predicate=isFlattenable] The function invoked per iteration. + * @param {boolean} [isStrict] Restrict to values that pass `predicate` checks. + * @param {Array} [result=[]] The initial result value. + * @returns {Array} Returns the new flattened array. + */ +function baseFlatten(array, depth, predicate, isStrict, result) { + var index = -1, + length = array.length; + + predicate || (predicate = _isFlattenable); + result || (result = []); + + while (++index < length) { + var value = array[index]; + if (depth > 0 && predicate(value)) { + if (depth > 1) { + // Recursively flatten arrays (susceptible to call stack limits). + baseFlatten(value, depth - 1, predicate, isStrict, result); + } else { + (0,_arrayPush/* default */.c)(result, value); + } + } else if (!isStrict) { + result[result.length] = value; + } + } + return result; +} + +/* harmony default export */ const _baseFlatten = (baseFlatten); + + +/***/ }), + +/***/ 79985: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); + + + +/** + * The base implementation of `_.forOwn` without support for iteratee shorthands. + * + * @private + * @param {Object} object The object to iterate over. + * @param {Function} iteratee The function invoked per iteration. + * @returns {Object} Returns `object`. + */ +function baseForOwn(object, iteratee) { + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); + + +/***/ }), + +/***/ 60604: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); + + + +/** + * The base implementation of `_.get` without support for default values. + * + * @private + * @param {Object} object The object to query. + * @param {Array|string} path The path of the property to get. + * @returns {*} Returns the resolved value. + */ +function baseGet(object, path) { + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); + + var index = 0, + length = path.length; + + while (object != null && index < length) { + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; + } + return (index && index == length) ? object : undefined; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGet); + + +/***/ }), + +/***/ 30176: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); + + + +/** + * The base implementation of `getAllKeys` and `getAllKeysIn` which uses + * `keysFunc` and `symbolsFunc` to get the enumerable property names and + * symbols of `object`. + * + * @private + * @param {Object} object The object to query. + * @param {Function} keysFunc The function to get the keys of `object`. + * @param {Function} symbolsFunc The function to get the symbols of `object`. + * @returns {Array} Returns the array of property names and symbols. + */ +function baseGetAllKeys(object, keysFunc, symbolsFunc) { + var result = keysFunc(object); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); + + +/***/ }), + +/***/ 91312: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ _baseIteratee) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules +var _Stack = __webpack_require__(97184); +// EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules +var _SetCache = __webpack_require__(34528); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js +/** + * A specialized version of `_.some` for arrays without support for iteratee + * shorthands. + * + * @private + * @param {Array} [array] The array to iterate over. + * @param {Function} predicate The function invoked per iteration. + * @returns {boolean} Returns `true` if any element passes the predicate check, + * else `false`. + */ +function arraySome(array, predicate) { + var index = -1, + length = array == null ? 0 : array.length; + + while (++index < length) { + if (predicate(array[index], index, array)) { + return true; + } + } + return false; +} + +/* harmony default export */ const _arraySome = (arraySome); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js +var _cacheHas = __webpack_require__(5960); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js + + + + +/** Used to compose bitmasks for value comparisons. */ +var COMPARE_PARTIAL_FLAG = 1, + COMPARE_UNORDERED_FLAG = 2; + +/** + * A specialized version of `baseIsEqualDeep` for arrays with support for + * partial deep comparisons. + * + * @private + * @param {Array} array The array to compare. + * @param {Array} other The other array to compare. + * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details. + * @param {Function} customizer The function to customize comparisons. + * @param {Function} equalFunc The function to determine equivalents of values. + * @param {Object} stack Tracks traversed `array` and `other` objects. + * @returns {boolean} Returns `true` if the arrays are equivalent, else `false`. + */ +function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { + var isPartial = bitmask & COMPARE_PARTIAL_FLAG, + arrLength = array.length, + othLength = other.length; + + if (arrLength != othLength && !(isPartial && othLength > arrLength)) { + return false; + } + // Check that cyclic values are equal. + var arrStacked = stack.get(array); + var othStacked = stack.get(other); + if (arrStacked && othStacked) { + return arrStacked == other && othStacked == array; + } + var index = -1, + result = true, + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; + + stack.set(array, other); + stack.set(other, array); + + // Ignore non-index properties. + while (++index < arrLength) { + var arrValue = array[index], + othValue = other[index]; + + if (customizer) { + var compared = isPartial + ? customizer(othValue, arrValue, index, other, array, stack) + : customizer(arrValue, othValue, index, array, other, stack); + } + if (compared !== undefined) { + if (compared) { + continue; + } + result = false; + break; + } + // Recursively compare arrays (susceptible to call stack limits). + if (seen) { + if (!_arraySome(other, function(othValue, othIndex) { + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && + (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { + return seen.push(othIndex); + } + })) { + result = false; + break; + } + } else if (!( + arrValue === othValue || + equalFunc(arrValue, othValue, bitmask, customizer, stack) + )) { + result = false; + break; + } + } + stack['delete'](array); + stack['delete'](other); + return result; +} + +/* harmony default export */ const _equalArrays = (equalArrays); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js +var _Symbol = __webpack_require__(24048); +// EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js +var _Uint8Array = __webpack_require__(91392); +// EXTERNAL MODULE: ./node_modules/lodash-es/eq.js +var eq = __webpack_require__(73048); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js +/** + * Converts `map` to its key-value pairs. + * + * @private + * @param {Object} map The map to convert. + * @returns {Array} Returns the key-value pairs. + */ +function mapToArray(map) { + var index = -1, + result = Array(map.size); + + map.forEach(function(value, key) { + result[++index] = [key, value]; + }); + return result; +} + +/* harmony default export */ const _mapToArray = (mapToArray); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js +var _setToArray = __webpack_require__(68872); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js + + + + + + + +/** Used to compose bitmasks for value comparisons. */ +var _equalByTag_COMPARE_PARTIAL_FLAG = 1, + _equalByTag_COMPARE_UNORDERED_FLAG = 2; + +/** `Object#toString` result references. */ +var boolTag = '[object Boolean]', + dateTag = '[object Date]', + errorTag = '[object Error]', + mapTag = '[object Map]', + numberTag = '[object Number]', + regexpTag = '[object RegExp]', + setTag = '[object Set]', + stringTag = '[object String]', + symbolTag = '[object Symbol]'; + +var arrayBufferTag = '[object ArrayBuffer]', + dataViewTag = '[object DataView]'; + +/** Used to convert symbols to primitives and strings. */ +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, + symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; + +/** + * A specialized version of `baseIsEqualDeep` for comparing objects of + * the same `toStringTag`. + * + * **Note:** This function only supports comparing values with tags of + * `Boolean`, `Date`, `Error`, `Number`, `RegExp`, or `String`. + * + * @private + * @param {Object} object The object to compare. + * @param {Object} other The other object to compare. + * @param {string} tag The `toStringTag` of the objects to compare. + * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details. + * @param {Function} customizer The function to customize comparisons. + * @param {Function} equalFunc The function to determine equivalents of values. + * @param {Object} stack Tracks traversed `object` and `other` objects. + * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. + */ +function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { + switch (tag) { + case dataViewTag: + if ((object.byteLength != other.byteLength) || + (object.byteOffset != other.byteOffset)) { + return false; + } + object = object.buffer; + other = other.buffer; + + case arrayBufferTag: + if ((object.byteLength != other.byteLength) || + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { + return false; + } + return true; + + case boolTag: + case dateTag: + case numberTag: + // Coerce booleans to `1` or `0` and dates to milliseconds. + // Invalid dates are coerced to `NaN`. + return (0,eq/* default */.c)(+object, +other); + + case errorTag: + return object.name == other.name && object.message == other.message; + + case regexpTag: + case stringTag: + // Coerce regexes to strings and treat strings, primitives and objects, + // as equal. See http://www.ecma-international.org/ecma-262/7.0/#sec-regexp.prototype.tostring + // for more details. + return object == (other + ''); + + case mapTag: + var convert = _mapToArray; + + case setTag: + var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; + convert || (convert = _setToArray/* default */.c); + + if (object.size != other.size && !isPartial) { + return false; + } + // Assume cyclic values are equal. + var stacked = stack.get(object); + if (stacked) { + return stacked == other; + } + bitmask |= _equalByTag_COMPARE_UNORDERED_FLAG; + + // Recursively compare objects (susceptible to call stack limits). + stack.set(object, other); + var result = _equalArrays(convert(object), convert(other), bitmask, customizer, equalFunc, stack); + stack['delete'](object); + return result; + + case symbolTag: + if (symbolValueOf) { + return symbolValueOf.call(object) == symbolValueOf.call(other); + } + } + return false; +} + +/* harmony default export */ const _equalByTag = (equalByTag); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js +var _getAllKeys = __webpack_require__(22980); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js + + +/** Used to compose bitmasks for value comparisons. */ +var _equalObjects_COMPARE_PARTIAL_FLAG = 1; + +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** Used to check objects for own properties. */ +var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; + +/** + * A specialized version of `baseIsEqualDeep` for objects with support for + * partial deep comparisons. + * + * @private + * @param {Object} object The object to compare. + * @param {Object} other The other object to compare. + * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details. + * @param {Function} customizer The function to customize comparisons. + * @param {Function} equalFunc The function to determine equivalents of values. + * @param {Object} stack Tracks traversed `object` and `other` objects. + * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. + */ +function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { + var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, + objProps = (0,_getAllKeys/* default */.c)(object), + objLength = objProps.length, + othProps = (0,_getAllKeys/* default */.c)(other), + othLength = othProps.length; + + if (objLength != othLength && !isPartial) { + return false; + } + var index = objLength; + while (index--) { + var key = objProps[index]; + if (!(isPartial ? key in other : _equalObjects_hasOwnProperty.call(other, key))) { + return false; + } + } + // Check that cyclic values are equal. + var objStacked = stack.get(object); + var othStacked = stack.get(other); + if (objStacked && othStacked) { + return objStacked == other && othStacked == object; + } + var result = true; + stack.set(object, other); + stack.set(other, object); + + var skipCtor = isPartial; + while (++index < objLength) { + key = objProps[index]; + var objValue = object[key], + othValue = other[key]; + + if (customizer) { + var compared = isPartial + ? customizer(othValue, objValue, key, other, object, stack) + : customizer(objValue, othValue, key, object, other, stack); + } + // Recursively compare objects (susceptible to call stack limits). + if (!(compared === undefined + ? (objValue === othValue || equalFunc(objValue, othValue, bitmask, customizer, stack)) + : compared + )) { + result = false; + break; + } + skipCtor || (skipCtor = key == 'constructor'); + } + if (result && !skipCtor) { + var objCtor = object.constructor, + othCtor = other.constructor; + + // Non `Object` object instances with different constructors are not equal. + if (objCtor != othCtor && + ('constructor' in object && 'constructor' in other) && + !(typeof objCtor == 'function' && objCtor instanceof objCtor && + typeof othCtor == 'function' && othCtor instanceof othCtor)) { + result = false; + } + } + stack['delete'](object); + stack['delete'](other); + return result; +} + +/* harmony default export */ const _equalObjects = (equalObjects); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules +var _getTag = __webpack_require__(17188); +// EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js +var isArray = __webpack_require__(78820); +// EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules +var isBuffer = __webpack_require__(57274); +// EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules +var isTypedArray = __webpack_require__(93416); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js + + + + + + + + + +/** Used to compose bitmasks for value comparisons. */ +var _baseIsEqualDeep_COMPARE_PARTIAL_FLAG = 1; + +/** `Object#toString` result references. */ +var argsTag = '[object Arguments]', + arrayTag = '[object Array]', + objectTag = '[object Object]'; + +/** Used for built-in method references. */ +var _baseIsEqualDeep_objectProto = Object.prototype; + +/** Used to check objects for own properties. */ +var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnProperty; + +/** + * A specialized version of `baseIsEqual` for arrays and objects which performs + * deep comparisons and tracks traversed objects enabling objects with circular + * references to be compared. + * + * @private + * @param {Object} object The object to compare. + * @param {Object} other The other object to compare. + * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details. + * @param {Function} customizer The function to customize comparisons. + * @param {Function} equalFunc The function to determine equivalents of values. + * @param {Object} [stack] Tracks traversed `object` and `other` objects. + * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. + */ +function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); + + objTag = objTag == argsTag ? objectTag : objTag; + othTag = othTag == argsTag ? objectTag : othTag; + + var objIsObj = objTag == objectTag, + othIsObj = othTag == objectTag, + isSameTag = objTag == othTag; + + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { + return false; + } + objIsArr = true; + objIsObj = false; + } + if (isSameTag && !objIsObj) { + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) + ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) + : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); + } + if (!(bitmask & _baseIsEqualDeep_COMPARE_PARTIAL_FLAG)) { + var objIsWrapped = objIsObj && _baseIsEqualDeep_hasOwnProperty.call(object, '__wrapped__'), + othIsWrapped = othIsObj && _baseIsEqualDeep_hasOwnProperty.call(other, '__wrapped__'); + + if (objIsWrapped || othIsWrapped) { + var objUnwrapped = objIsWrapped ? object.value() : object, + othUnwrapped = othIsWrapped ? other.value() : other; + + stack || (stack = new _Stack/* default */.c); + return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); + } + } + if (!isSameTag) { + return false; + } + stack || (stack = new _Stack/* default */.c); + return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); +} + +/* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); + +// EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js +var isObjectLike = __webpack_require__(23584); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js + + + +/** + * The base implementation of `_.isEqual` which supports partial comparisons + * and tracks traversed objects. + * + * @private + * @param {*} value The value to compare. + * @param {*} other The other value to compare. + * @param {boolean} bitmask The bitmask flags. + * 1 - Unordered comparison + * 2 - Partial comparison + * @param {Function} [customizer] The function to customize comparisons. + * @param {Object} [stack] Tracks traversed `value` and `other` objects. + * @returns {boolean} Returns `true` if the values are equivalent, else `false`. + */ +function baseIsEqual(value, other, bitmask, customizer, stack) { + if (value === other) { + return true; + } + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { + return value !== value && other !== other; + } + return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); +} + +/* harmony default export */ const _baseIsEqual = (baseIsEqual); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMatch.js + + + +/** Used to compose bitmasks for value comparisons. */ +var _baseIsMatch_COMPARE_PARTIAL_FLAG = 1, + _baseIsMatch_COMPARE_UNORDERED_FLAG = 2; + +/** + * The base implementation of `_.isMatch` without support for iteratee shorthands. + * + * @private + * @param {Object} object The object to inspect. + * @param {Object} source The object of property values to match. + * @param {Array} matchData The property names, values, and compare flags to match. + * @param {Function} [customizer] The function to customize comparisons. + * @returns {boolean} Returns `true` if `object` is a match, else `false`. + */ +function baseIsMatch(object, source, matchData, customizer) { + var index = matchData.length, + length = index, + noCustomizer = !customizer; + + if (object == null) { + return !length; + } + object = Object(object); + while (index--) { + var data = matchData[index]; + if ((noCustomizer && data[2]) + ? data[1] !== object[data[0]] + : !(data[0] in object) + ) { + return false; + } + } + while (++index < length) { + data = matchData[index]; + var key = data[0], + objValue = object[key], + srcValue = data[1]; + + if (noCustomizer && data[2]) { + if (objValue === undefined && !(key in object)) { + return false; + } + } else { + var stack = new _Stack/* default */.c; + if (customizer) { + var result = customizer(objValue, srcValue, key, object, source, stack); + } + if (!(result === undefined + ? _baseIsEqual(srcValue, objValue, _baseIsMatch_COMPARE_PARTIAL_FLAG | _baseIsMatch_COMPARE_UNORDERED_FLAG, customizer, stack) + : result + )) { + return false; + } + } + } + return true; +} + +/* harmony default export */ const _baseIsMatch = (baseIsMatch); + +// EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js +var isObject = __webpack_require__(5368); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js + + +/** + * Checks if `value` is suitable for strict equality comparisons, i.e. `===`. + * + * @private + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` if suitable for strict + * equality comparisons, else `false`. + */ +function isStrictComparable(value) { + return value === value && !(0,isObject/* default */.c)(value); +} + +/* harmony default export */ const _isStrictComparable = (isStrictComparable); + +// EXTERNAL MODULE: ./node_modules/lodash-es/keys.js +var keys = __webpack_require__(62420); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js + + + +/** + * Gets the property names, values, and compare flags of `object`. + * + * @private + * @param {Object} object The object to query. + * @returns {Array} Returns the match data of `object`. + */ +function getMatchData(object) { + var result = (0,keys/* default */.c)(object), + length = result.length; + + while (length--) { + var key = result[length], + value = object[key]; + + result[length] = [key, value, _isStrictComparable(value)]; + } + return result; +} + +/* harmony default export */ const _getMatchData = (getMatchData); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_matchesStrictComparable.js +/** + * A specialized version of `matchesProperty` for source values suitable + * for strict equality comparisons, i.e. `===`. + * + * @private + * @param {string} key The key of the property to get. + * @param {*} srcValue The value to match. + * @returns {Function} Returns the new spec function. + */ +function matchesStrictComparable(key, srcValue) { + return function(object) { + if (object == null) { + return false; + } + return object[key] === srcValue && + (srcValue !== undefined || (key in Object(object))); + }; +} + +/* harmony default export */ const _matchesStrictComparable = (matchesStrictComparable); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatches.js + + + + +/** + * The base implementation of `_.matches` which doesn't clone `source`. + * + * @private + * @param {Object} source The object of property values to match. + * @returns {Function} Returns the new spec function. + */ +function baseMatches(source) { + var matchData = _getMatchData(source); + if (matchData.length == 1 && matchData[0][2]) { + return _matchesStrictComparable(matchData[0][0], matchData[0][1]); + } + return function(object) { + return object === source || _baseIsMatch(object, source, matchData); + }; +} + +/* harmony default export */ const _baseMatches = (baseMatches); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js +var _baseGet = __webpack_require__(60604); +;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js + + +/** + * Gets the value at `path` of `object`. If the resolved value is + * `undefined`, the `defaultValue` is returned in its place. + * + * @static + * @memberOf _ + * @since 3.7.0 + * @category Object + * @param {Object} object The object to query. + * @param {Array|string} path The path of the property to get. + * @param {*} [defaultValue] The value returned for `undefined` resolved values. + * @returns {*} Returns the resolved value. + * @example + * + * var object = { 'a': [{ 'b': { 'c': 3 } }] }; + * + * _.get(object, 'a[0].b.c'); + * // => 3 + * + * _.get(object, ['a', '0', 'b', 'c']); + * // => 3 + * + * _.get(object, 'a.b.c', 'default'); + * // => 'default' + */ +function get(object, path, defaultValue) { + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); + return result === undefined ? defaultValue : result; +} + +/* harmony default export */ const lodash_es_get = (get); + +// EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules +var hasIn = __webpack_require__(73556); +// EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js +var _isKey = __webpack_require__(27544); +// EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js +var _toKey = __webpack_require__(32128); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js + + + + + + + + +/** Used to compose bitmasks for value comparisons. */ +var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, + _baseMatchesProperty_COMPARE_UNORDERED_FLAG = 2; + +/** + * The base implementation of `_.matchesProperty` which doesn't clone `srcValue`. + * + * @private + * @param {string} path The path of the property to get. + * @param {*} srcValue The value to match. + * @returns {Function} Returns the new spec function. + */ +function baseMatchesProperty(path, srcValue) { + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); + } + return function(object) { + var objValue = lodash_es_get(object, path); + return (objValue === undefined && objValue === srcValue) + ? (0,hasIn/* default */.c)(object, path) + : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); + }; +} + +/* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); + +// EXTERNAL MODULE: ./node_modules/lodash-es/identity.js +var identity = __webpack_require__(5816); +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js +var _baseProperty = __webpack_require__(60472); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js + + +/** + * A specialized version of `baseProperty` which supports deep paths. + * + * @private + * @param {Array|string} path The path of the property to get. + * @returns {Function} Returns the new accessor function. + */ +function basePropertyDeep(path) { + return function(object) { + return (0,_baseGet/* default */.c)(object, path); + }; +} + +/* harmony default export */ const _basePropertyDeep = (basePropertyDeep); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/property.js + + + + + +/** + * Creates a function that returns the value at `path` of a given object. + * + * @static + * @memberOf _ + * @since 2.4.0 + * @category Util + * @param {Array|string} path The path of the property to get. + * @returns {Function} Returns the new accessor function. + * @example + * + * var objects = [ + * { 'a': { 'b': 2 } }, + * { 'a': { 'b': 1 } } + * ]; + * + * _.map(objects, _.property('a.b')); + * // => [2, 1] + * + * _.map(_.sortBy(objects, _.property(['a', 'b'])), 'a.b'); + * // => [1, 2] + */ +function property(path) { + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); +} + +/* harmony default export */ const lodash_es_property = (property); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIteratee.js + + + + + + +/** + * The base implementation of `_.iteratee`. + * + * @private + * @param {*} [value=_.identity] The value to convert to an iteratee. + * @returns {Function} Returns the iteratee. + */ +function baseIteratee(value) { + // Don't store the `typeof` result in a variable to avoid a JIT bug in Safari 9. + // See https://bugs.webkit.org/show_bug.cgi?id=156034 for more details. + if (typeof value == 'function') { + return value; + } + if (value == null) { + return identity/* default */.c; + } + if (typeof value == 'object') { + return (0,isArray/* default */.c)(value) + ? _baseMatchesProperty(value[0], value[1]) + : _baseMatches(value); + } + return lodash_es_property(value); +} + +/* harmony default export */ const _baseIteratee = (baseIteratee); + + +/***/ }), + +/***/ 60472: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * The base implementation of `_.property` without support for deep paths. + * + * @private + * @param {string} key The key of the property to get. + * @returns {Function} Returns the new accessor function. + */ +function baseProperty(key) { + return function(object) { + return object == null ? undefined : object[key]; + }; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseProperty); + + +/***/ }), + +/***/ 5960: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * Checks if a `cache` value for `key` exists. + * + * @private + * @param {Object} cache The cache to query. + * @param {string} key The key of the entry to check. + * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. + */ +function cacheHas(cache, key) { + return cache.has(key); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (cacheHas); + + +/***/ }), + +/***/ 12176: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); + + +/** + * Casts `value` to `identity` if it's not a function. + * + * @private + * @param {*} value The value to inspect. + * @returns {Function} Returns cast function. + */ +function castFunction(value) { + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); + + +/***/ }), + +/***/ 58356: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ _castPath) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js +var isArray = __webpack_require__(78820); +// EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js +var _isKey = __webpack_require__(27544); +// EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js +var memoize = __webpack_require__(30528); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js + + +/** Used as the maximum memoize cache size. */ +var MAX_MEMOIZE_SIZE = 500; + +/** + * A specialized version of `_.memoize` which clears the memoized function's + * cache when it exceeds `MAX_MEMOIZE_SIZE`. + * + * @private + * @param {Function} func The function to have its output memoized. + * @returns {Function} Returns the new memoized function. + */ +function memoizeCapped(func) { + var result = (0,memoize/* default */.c)(func, function(key) { + if (cache.size === MAX_MEMOIZE_SIZE) { + cache.clear(); + } + return key; + }); + + var cache = result.cache; + return result; +} + +/* harmony default export */ const _memoizeCapped = (memoizeCapped); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_stringToPath.js + + +/** Used to match property names within property paths. */ +var rePropName = /[^.[\]]+|\[(?:(-?\d+(?:\.\d+)?)|(["'])((?:(?!\2)[^\\]|\\.)*?)\2)\]|(?=(?:\.|\[\])(?:\.|\[\]|$))/g; + +/** Used to match backslashes in property paths. */ +var reEscapeChar = /\\(\\)?/g; + +/** + * Converts `string` to a property path array. + * + * @private + * @param {string} string The string to convert. + * @returns {Array} Returns the property path array. + */ +var stringToPath = _memoizeCapped(function(string) { + var result = []; + if (string.charCodeAt(0) === 46 /* . */) { + result.push(''); + } + string.replace(rePropName, function(match, number, quote, subString) { + result.push(quote ? subString.replace(reEscapeChar, '$1') : (number || match)); + }); + return result; +}); + +/* harmony default export */ const _stringToPath = (stringToPath); + +// EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules +var lodash_es_toString = __webpack_require__(68019); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js + + + + + +/** + * Casts `value` to a path array if it's not one. + * + * @private + * @param {*} value The value to inspect. + * @param {Object} [object] The object to query keys on. + * @returns {Array} Returns the cast property path array. + */ +function castPath(value, object) { + if ((0,isArray/* default */.c)(value)) { + return value; + } + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); +} + +/* harmony default export */ const _castPath = (castPath); + + +/***/ }), + +/***/ 22980: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); + + + + +/** + * Creates an array of own enumerable property names and symbols of `object`. + * + * @private + * @param {Object} object The object to query. + * @returns {Array} Returns the array of property names and symbols. + */ +function getAllKeys(object) { + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); + + +/***/ }), + +/***/ 10772: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); + + + +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** Built-in value references. */ +var propertyIsEnumerable = objectProto.propertyIsEnumerable; + +/* Built-in method references for those with the same name as other `lodash` methods. */ +var nativeGetSymbols = Object.getOwnPropertySymbols; + +/** + * Creates an array of the own enumerable symbols of `object`. + * + * @private + * @param {Object} object The object to query. + * @returns {Array} Returns the array of symbols. + */ +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { + if (object == null) { + return []; + } + object = Object(object); + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { + return propertyIsEnumerable.call(object, symbol); + }); +}; + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getSymbols); + + +/***/ }), + +/***/ 18872: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); + + + + + + + +/** + * Checks if `path` exists on `object`. + * + * @private + * @param {Object} object The object to query. + * @param {Array|string} path The path to check. + * @param {Function} hasFunc The function to check properties. + * @returns {boolean} Returns `true` if `path` exists, else `false`. + */ +function hasPath(object, path, hasFunc) { + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); + + var index = -1, + length = path.length, + result = false; + + while (++index < length) { + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); + if (!(result = object != null && hasFunc(object, key))) { + break; + } + object = object[key]; + } + if (result || ++index != length) { + return result; + } + length = object == null ? 0 : object.length; + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); + + +/***/ }), + +/***/ 27544: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); + + + +/** Used to match property names within property paths. */ +var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, + reIsPlainProp = /^\w*$/; + +/** + * Checks if `value` is a property name and not a property path. + * + * @private + * @param {*} value The value to check. + * @param {Object} [object] The object to query keys on. + * @returns {boolean} Returns `true` if `value` is a property name, else `false`. + */ +function isKey(value, object) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { + return false; + } + var type = typeof value; + if (type == 'number' || type == 'symbol' || type == 'boolean' || + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { + return true; + } + return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || + (object != null && value in Object(object)); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isKey); + + +/***/ }), + +/***/ 68872: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * Converts `set` to an array of its values. + * + * @private + * @param {Object} set The set to convert. + * @returns {Array} Returns the values. + */ +function setToArray(set) { + var index = -1, + result = Array(set.size); + + set.forEach(function(value) { + result[++index] = value; + }); + return result; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (setToArray); + + +/***/ }), + +/***/ 32128: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); + + +/** Used as references for various `Number` constants. */ +var INFINITY = 1 / 0; + +/** + * Converts `value` to a string key if it's not a string or symbol. + * + * @private + * @param {*} value The value to inspect. + * @returns {string|symbol} Returns the key. + */ +function toKey(value) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { + return value; + } + var result = (value + ''); + return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (toKey); + + +/***/ }), + +/***/ 77784: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _baseClone_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(48492); + + +/** Used to compose bitmasks for cloning. */ +var CLONE_SYMBOLS_FLAG = 4; + +/** + * Creates a shallow clone of `value`. + * + * **Note:** This method is loosely based on the + * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) + * and supports cloning arrays, array buffers, booleans, date objects, maps, + * numbers, `Object` objects, regexes, sets, strings, symbols, and typed + * arrays. The own enumerable properties of `arguments` objects are cloned + * as plain objects. An empty object is returned for uncloneable values such + * as error objects, functions, DOM nodes, and WeakMaps. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Lang + * @param {*} value The value to clone. + * @returns {*} Returns the cloned value. + * @see _.cloneDeep + * @example + * + * var objects = [{ 'a': 1 }, { 'b': 2 }]; + * + * var shallow = _.clone(objects); + * console.log(shallow[0] === objects[0]); + * // => true + */ +function clone(value) { + return (0,_baseClone_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value, CLONE_SYMBOLS_FLAG); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (clone); + + +/***/ }), + +/***/ 55720: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ lodash_es_filter) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js +var _arrayFilter = __webpack_require__(46091); +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules +var _baseEach = __webpack_require__(92816); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js + + +/** + * The base implementation of `_.filter` without support for iteratee shorthands. + * + * @private + * @param {Array|Object} collection The collection to iterate over. + * @param {Function} predicate The function invoked per iteration. + * @returns {Array} Returns the new filtered array. + */ +function baseFilter(collection, predicate) { + var result = []; + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { + if (predicate(value, index, collection)) { + result.push(value); + } + }); + return result; +} + +/* harmony default export */ const _baseFilter = (baseFilter); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules +var _baseIteratee = __webpack_require__(91312); +// EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js +var isArray = __webpack_require__(78820); +;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js + + + + + +/** + * Iterates over elements of `collection`, returning an array of all elements + * `predicate` returns truthy for. The predicate is invoked with three + * arguments: (value, index|key, collection). + * + * **Note:** Unlike `_.remove`, this method returns a new array. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Collection + * @param {Array|Object} collection The collection to iterate over. + * @param {Function} [predicate=_.identity] The function invoked per iteration. + * @returns {Array} Returns the new filtered array. + * @see _.reject + * @example + * + * var users = [ + * { 'user': 'barney', 'age': 36, 'active': true }, + * { 'user': 'fred', 'age': 40, 'active': false } + * ]; + * + * _.filter(users, function(o) { return !o.active; }); + * // => objects for ['fred'] + * + * // The `_.matches` iteratee shorthand. + * _.filter(users, { 'age': 36, 'active': true }); + * // => objects for ['barney'] + * + * // The `_.matchesProperty` iteratee shorthand. + * _.filter(users, ['active', false]); + * // => objects for ['fred'] + * + * // The `_.property` iteratee shorthand. + * _.filter(users, 'active'); + * // => objects for ['barney'] + * + * // Combining several predicates using `_.overEvery` or `_.overSome`. + * _.filter(users, _.overSome([{ 'age': 36 }, ['age', 40]])); + * // => objects for ['fred', 'barney'] + */ +function filter(collection, predicate) { + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); +} + +/* harmony default export */ const lodash_es_filter = (filter); + + +/***/ }), + +/***/ 50080: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); + + + + + +/** + * Iterates over elements of `collection` and invokes `iteratee` for each element. + * The iteratee is invoked with three arguments: (value, index|key, collection). + * Iteratee functions may exit iteration early by explicitly returning `false`. + * + * **Note:** As with other "Collections" methods, objects with a "length" + * property are iterated like arrays. To avoid this behavior use `_.forIn` + * or `_.forOwn` for object iteration. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @alias each + * @category Collection + * @param {Array|Object} collection The collection to iterate over. + * @param {Function} [iteratee=_.identity] The function invoked per iteration. + * @returns {Array|Object} Returns `collection`. + * @see _.forEachRight + * @example + * + * _.forEach([1, 2], function(value) { + * console.log(value); + * }); + * // => Logs `1` then `2`. + * + * _.forEach({ 'a': 1, 'b': 2 }, function(value, key) { + * console.log(key); + * }); + * // => Logs 'a' then 'b' (iteration order is not guaranteed). + */ +function forEach(collection, iteratee) { + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); + + +/***/ }), + +/***/ 7248: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ lodash_es_has) +}); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** Used to check objects for own properties. */ +var _baseHas_hasOwnProperty = objectProto.hasOwnProperty; + +/** + * The base implementation of `_.has` without support for deep paths. + * + * @private + * @param {Object} [object] The object to query. + * @param {Array|string} key The key to check. + * @returns {boolean} Returns `true` if `key` exists, else `false`. + */ +function baseHas(object, key) { + return object != null && _baseHas_hasOwnProperty.call(object, key); +} + +/* harmony default export */ const _baseHas = (baseHas); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js +var _hasPath = __webpack_require__(18872); +;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js + + + +/** + * Checks if `path` is a direct property of `object`. + * + * @static + * @since 0.1.0 + * @memberOf _ + * @category Object + * @param {Object} object The object to query. + * @param {Array|string} path The path to check. + * @returns {boolean} Returns `true` if `path` exists, else `false`. + * @example + * + * var object = { 'a': { 'b': 2 } }; + * var other = _.create({ 'a': _.create({ 'b': 2 }) }); + * + * _.has(object, 'a'); + * // => true + * + * _.has(object, 'a.b'); + * // => true + * + * _.has(object, ['a', 'b']); + * // => true + * + * _.has(other, 'a'); + * // => false + */ +function has(object, path) { + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); +} + +/* harmony default export */ const lodash_es_has = (has); + + +/***/ }), + +/***/ 73556: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ lodash_es_hasIn) +}); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js +/** + * The base implementation of `_.hasIn` without support for deep paths. + * + * @private + * @param {Object} [object] The object to query. + * @param {Array|string} key The key to check. + * @returns {boolean} Returns `true` if `key` exists, else `false`. + */ +function baseHasIn(object, key) { + return object != null && key in Object(object); +} + +/* harmony default export */ const _baseHasIn = (baseHasIn); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js +var _hasPath = __webpack_require__(18872); +;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js + + + +/** + * Checks if `path` is a direct or inherited property of `object`. + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Object + * @param {Object} object The object to query. + * @param {Array|string} path The path to check. + * @returns {boolean} Returns `true` if `path` exists, else `false`. + * @example + * + * var object = _.create({ 'a': _.create({ 'b': 2 }) }); + * + * _.hasIn(object, 'a'); + * // => true + * + * _.hasIn(object, 'a.b'); + * // => true + * + * _.hasIn(object, ['a', 'b']); + * // => true + * + * _.hasIn(object, 'b'); + * // => false + */ +function hasIn(object, path) { + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); +} + +/* harmony default export */ const lodash_es_hasIn = (hasIn); + + +/***/ }), + +/***/ 46380: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); + + + +/** `Object#toString` result references. */ +var symbolTag = '[object Symbol]'; + +/** + * Checks if `value` is classified as a `Symbol` primitive or object. + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is a symbol, else `false`. + * @example + * + * _.isSymbol(Symbol.iterator); + * // => true + * + * _.isSymbol('abc'); + * // => false + */ +function isSymbol(value) { + return typeof value == 'symbol' || + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); + + +/***/ }), + +/***/ 60372: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * Checks if `value` is `undefined`. + * + * @static + * @since 0.1.0 + * @memberOf _ + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is `undefined`, else `false`. + * @example + * + * _.isUndefined(void 0); + * // => true + * + * _.isUndefined(null); + * // => false + */ +function isUndefined(value) { + return value === undefined; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isUndefined); + + +/***/ }), + +/***/ 62420: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); + + + + +/** + * Creates an array of the own enumerable property names of `object`. + * + * **Note:** Non-object values are coerced to objects. See the + * [ES spec](http://ecma-international.org/ecma-262/7.0/#sec-object.keys) + * for more details. + * + * @static + * @since 0.1.0 + * @memberOf _ + * @category Object + * @param {Object} object The object to query. + * @returns {Array} Returns the array of property names. + * @example + * + * function Foo() { + * this.a = 1; + * this.b = 2; + * } + * + * Foo.prototype.c = 3; + * + * _.keys(new Foo); + * // => ['a', 'b'] (iteration order is not guaranteed) + * + * _.keys('hi'); + * // => ['0', '1'] + */ +function keys(object) { + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); + + +/***/ }), + +/***/ 90460: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ lodash_es_reduce) +}); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js +/** + * A specialized version of `_.reduce` for arrays without support for + * iteratee shorthands. + * + * @private + * @param {Array} [array] The array to iterate over. + * @param {Function} iteratee The function invoked per iteration. + * @param {*} [accumulator] The initial value. + * @param {boolean} [initAccum] Specify using the first element of `array` as + * the initial value. + * @returns {*} Returns the accumulated value. + */ +function arrayReduce(array, iteratee, accumulator, initAccum) { + var index = -1, + length = array == null ? 0 : array.length; + + if (initAccum && length) { + accumulator = array[++index]; + } + while (++index < length) { + accumulator = iteratee(accumulator, array[index], index, array); + } + return accumulator; +} + +/* harmony default export */ const _arrayReduce = (arrayReduce); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules +var _baseEach = __webpack_require__(92816); +// EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules +var _baseIteratee = __webpack_require__(91312); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js +/** + * The base implementation of `_.reduce` and `_.reduceRight`, without support + * for iteratee shorthands, which iterates over `collection` using `eachFunc`. + * + * @private + * @param {Array|Object} collection The collection to iterate over. + * @param {Function} iteratee The function invoked per iteration. + * @param {*} accumulator The initial value. + * @param {boolean} initAccum Specify using the first or last element of + * `collection` as the initial value. + * @param {Function} eachFunc The function to iterate over `collection`. + * @returns {*} Returns the accumulated value. + */ +function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { + eachFunc(collection, function(value, index, collection) { + accumulator = initAccum + ? (initAccum = false, value) + : iteratee(accumulator, value, index, collection); + }); + return accumulator; +} + +/* harmony default export */ const _baseReduce = (baseReduce); + +// EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js +var isArray = __webpack_require__(78820); +;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js + + + + + + +/** + * Reduces `collection` to a value which is the accumulated result of running + * each element in `collection` thru `iteratee`, where each successive + * invocation is supplied the return value of the previous. If `accumulator` + * is not given, the first element of `collection` is used as the initial + * value. The iteratee is invoked with four arguments: + * (accumulator, value, index|key, collection). + * + * Many lodash methods are guarded to work as iteratees for methods like + * `_.reduce`, `_.reduceRight`, and `_.transform`. + * + * The guarded methods are: + * `assign`, `defaults`, `defaultsDeep`, `includes`, `merge`, `orderBy`, + * and `sortBy` + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Collection + * @param {Array|Object} collection The collection to iterate over. + * @param {Function} [iteratee=_.identity] The function invoked per iteration. + * @param {*} [accumulator] The initial value. + * @returns {*} Returns the accumulated value. + * @see _.reduceRight + * @example + * + * _.reduce([1, 2], function(sum, n) { + * return sum + n; + * }, 0); + * // => 3 + * + * _.reduce({ 'a': 1, 'b': 2, 'c': 1 }, function(result, value, key) { + * (result[value] || (result[value] = [])).push(key); + * return result; + * }, {}); + * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) + */ +function reduce(collection, iteratee, accumulator) { + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, + initAccum = arguments.length < 3; + + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); +} + +/* harmony default export */ const lodash_es_reduce = (reduce); + + +/***/ }), + +/***/ 41716: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/** + * This method returns a new empty array. + * + * @static + * @memberOf _ + * @since 4.13.0 + * @category Util + * @returns {Array} Returns the new empty array. + * @example + * + * var arrays = _.times(2, _.stubArray); + * + * console.log(arrays); + * // => [[], []] + * + * console.log(arrays[0] === arrays[1]); + * // => false + */ +function stubArray() { + return []; +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (stubArray); + + +/***/ }), + +/***/ 68019: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ lodash_es_toString) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js +var _Symbol = __webpack_require__(24048); +// EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js +var _arrayMap = __webpack_require__(1304); +// EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js +var isArray = __webpack_require__(78820); +// EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js +var isSymbol = __webpack_require__(46380); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js + + + + + +/** Used as references for various `Number` constants. */ +var INFINITY = 1 / 0; + +/** Used to convert symbols to primitives and strings. */ +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, + symbolToString = symbolProto ? symbolProto.toString : undefined; + +/** + * The base implementation of `_.toString` which doesn't convert nullish + * values to empty strings. + * + * @private + * @param {*} value The value to process. + * @returns {string} Returns the string. + */ +function baseToString(value) { + // Exit early for strings to avoid a performance hit in some environments. + if (typeof value == 'string') { + return value; + } + if ((0,isArray/* default */.c)(value)) { + // Recursively convert values (susceptible to call stack limits). + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; + } + if ((0,isSymbol/* default */.c)(value)) { + return symbolToString ? symbolToString.call(value) : ''; + } + var result = (value + ''); + return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result; +} + +/* harmony default export */ const _baseToString = (baseToString); + +;// CONCATENATED MODULE: ./node_modules/lodash-es/toString.js + + +/** + * Converts `value` to a string. An empty string is returned for `null` + * and `undefined` values. The sign of `-0` is preserved. + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Lang + * @param {*} value The value to convert. + * @returns {string} Returns the converted string. + * @example + * + * _.toString(null); + * // => '' + * + * _.toString(-0); + * // => '-0' + * + * _.toString([1, 2, 3]); + * // => '1,2,3' + */ +function toString_toString(value) { + return value == null ? '' : _baseToString(value); +} + +/* harmony default export */ const lodash_es_toString = (toString_toString); + + +/***/ }), + +/***/ 36: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + c: () => (/* binding */ lodash_es_values) +}); + +// EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js +var _arrayMap = __webpack_require__(1304); +;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js + + +/** + * The base implementation of `_.values` and `_.valuesIn` which creates an + * array of `object` property values corresponding to the property names + * of `props`. + * + * @private + * @param {Object} object The object to query. + * @param {Array} props The property names to get values for. + * @returns {Object} Returns the array of property values. + */ +function baseValues(object, props) { + return (0,_arrayMap/* default */.c)(props, function(key) { + return object[key]; + }); +} + +/* harmony default export */ const _baseValues = (baseValues); + +// EXTERNAL MODULE: ./node_modules/lodash-es/keys.js +var keys = __webpack_require__(62420); +;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js + + + +/** + * Creates an array of the own enumerable string keyed property values of `object`. + * + * **Note:** Non-object values are coerced to objects. + * + * @static + * @since 0.1.0 + * @memberOf _ + * @category Object + * @param {Object} object The object to query. + * @returns {Array} Returns the array of property values. + * @example + * + * function Foo() { + * this.a = 1; + * this.b = 2; + * } + * + * Foo.prototype.c = 3; + * + * _.values(new Foo); + * // => [1, 2] (iteration order is not guaranteed) + * + * _.values('hi'); + * // => ['h', 'i'] + */ +function values(object) { + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); +} + +/* harmony default export */ const lodash_es_values = (values); + + +/***/ }), + +/***/ 41180: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ diagram: () => (/* binding */ diagram) +/* harmony export */ }); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79010); +/* harmony import */ var lodash_es_clone_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(77784); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(21048); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(19837); +/* harmony import */ var _edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(79680); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(95536); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(37352); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(57776); +var _a, _b; + + + + + + + + + + + + + + + + +var parser = function() { + var o = function(k, v, o2, l) { + for (o2 = o2 || {}, l = k.length; l--; o2[k[l]] = v) + ; + return o2; + }, $V0 = [1, 7], $V1 = [1, 13], $V2 = [1, 14], $V3 = [1, 15], $V4 = [1, 19], $V5 = [1, 16], $V6 = [1, 17], $V7 = [1, 18], $V8 = [8, 30], $V9 = [8, 21, 28, 29, 30, 31, 32, 40, 44, 47], $Va = [1, 23], $Vb = [1, 24], $Vc = [8, 15, 16, 21, 28, 29, 30, 31, 32, 40, 44, 47], $Vd = [8, 15, 16, 21, 27, 28, 29, 30, 31, 32, 40, 44, 47], $Ve = [1, 49]; + var parser2 = { + trace: function trace() { + }, + yy: {}, + symbols_: { "error": 2, "spaceLines": 3, "SPACELINE": 4, "NL": 5, "seperator": 6, "SPACE": 7, "EOF": 8, "start": 9, "BLOCK_DIAGRAM_KEY": 10, "document": 11, "stop": 12, "statement": 13, "link": 14, "LINK": 15, "START_LINK": 16, "LINK_LABEL": 17, "STR": 18, "nodeStatement": 19, "columnsStatement": 20, "SPACE_BLOCK": 21, "blockStatement": 22, "classDefStatement": 23, "cssClassStatement": 24, "styleStatement": 25, "node": 26, "SIZE": 27, "COLUMNS": 28, "id-block": 29, "end": 30, "block": 31, "NODE_ID": 32, "nodeShapeNLabel": 33, "dirList": 34, "DIR": 35, "NODE_DSTART": 36, "NODE_DEND": 37, "BLOCK_ARROW_START": 38, "BLOCK_ARROW_END": 39, "classDef": 40, "CLASSDEF_ID": 41, "CLASSDEF_STYLEOPTS": 42, "DEFAULT": 43, "class": 44, "CLASSENTITY_IDS": 45, "STYLECLASS": 46, "style": 47, "STYLE_ENTITY_IDS": 48, "STYLE_DEFINITION_DATA": 49, "$accept": 0, "$end": 1 }, + terminals_: { 2: "error", 4: "SPACELINE", 5: "NL", 7: "SPACE", 8: "EOF", 10: "BLOCK_DIAGRAM_KEY", 15: "LINK", 16: "START_LINK", 17: "LINK_LABEL", 18: "STR", 21: "SPACE_BLOCK", 27: "SIZE", 28: "COLUMNS", 29: "id-block", 30: "end", 31: "block", 32: "NODE_ID", 35: "DIR", 36: "NODE_DSTART", 37: "NODE_DEND", 38: "BLOCK_ARROW_START", 39: "BLOCK_ARROW_END", 40: "classDef", 41: "CLASSDEF_ID", 42: "CLASSDEF_STYLEOPTS", 43: "DEFAULT", 44: "class", 45: "CLASSENTITY_IDS", 46: "STYLECLASS", 47: "style", 48: "STYLE_ENTITY_IDS", 49: "STYLE_DEFINITION_DATA" }, + productions_: [0, [3, 1], [3, 2], [3, 2], [6, 1], [6, 1], [6, 1], [9, 3], [12, 1], [12, 1], [12, 2], [12, 2], [11, 1], [11, 2], [14, 1], [14, 4], [13, 1], [13, 1], [13, 1], [13, 1], [13, 1], [13, 1], [13, 1], [19, 3], [19, 2], [19, 1], [20, 1], [22, 4], [22, 3], [26, 1], [26, 2], [34, 1], [34, 2], [33, 3], [33, 4], [23, 3], [23, 3], [24, 3], [25, 3]], + performAction: function anonymous(yytext, yyleng, yylineno, yy, yystate, $$, _$) { + var $0 = $$.length - 1; + switch (yystate) { + case 4: + yy.getLogger().debug("Rule: seperator (NL) "); + break; + case 5: + yy.getLogger().debug("Rule: seperator (Space) "); + break; + case 6: + yy.getLogger().debug("Rule: seperator (EOF) "); + break; + case 7: + yy.getLogger().debug("Rule: hierarchy: ", $$[$0 - 1]); + yy.setHierarchy($$[$0 - 1]); + break; + case 8: + yy.getLogger().debug("Stop NL "); + break; + case 9: + yy.getLogger().debug("Stop EOF "); + break; + case 10: + yy.getLogger().debug("Stop NL2 "); + break; + case 11: + yy.getLogger().debug("Stop EOF2 "); + break; + case 12: + yy.getLogger().debug("Rule: statement: ", $$[$0]); + typeof $$[$0].length === "number" ? this.$ = $$[$0] : this.$ = [$$[$0]]; + break; + case 13: + yy.getLogger().debug("Rule: statement #2: ", $$[$0 - 1]); + this.$ = [$$[$0 - 1]].concat($$[$0]); + break; + case 14: + yy.getLogger().debug("Rule: link: ", $$[$0], yytext); + this.$ = { edgeTypeStr: $$[$0], label: "" }; + break; + case 15: + yy.getLogger().debug("Rule: LABEL link: ", $$[$0 - 3], $$[$0 - 1], $$[$0]); + this.$ = { edgeTypeStr: $$[$0], label: $$[$0 - 1] }; + break; + case 18: + const num = parseInt($$[$0]); + const spaceId = yy.generateId(); + this.$ = { id: spaceId, type: "space", label: "", width: num, children: [] }; + break; + case 23: + yy.getLogger().debug("Rule: (nodeStatement link node) ", $$[$0 - 2], $$[$0 - 1], $$[$0], " typestr: ", $$[$0 - 1].edgeTypeStr); + const edgeData = yy.edgeStrToEdgeData($$[$0 - 1].edgeTypeStr); + this.$ = [ + { id: $$[$0 - 2].id, label: $$[$0 - 2].label, type: $$[$0 - 2].type, directions: $$[$0 - 2].directions }, + { id: $$[$0 - 2].id + "-" + $$[$0].id, start: $$[$0 - 2].id, end: $$[$0].id, label: $$[$0 - 1].label, type: "edge", directions: $$[$0].directions, arrowTypeEnd: edgeData, arrowTypeStart: "arrow_open" }, + { id: $$[$0].id, label: $$[$0].label, type: yy.typeStr2Type($$[$0].typeStr), directions: $$[$0].directions } + ]; + break; + case 24: + yy.getLogger().debug("Rule: nodeStatement (abc88 node size) ", $$[$0 - 1], $$[$0]); + this.$ = { id: $$[$0 - 1].id, label: $$[$0 - 1].label, type: yy.typeStr2Type($$[$0 - 1].typeStr), directions: $$[$0 - 1].directions, widthInColumns: parseInt($$[$0], 10) }; + break; + case 25: + yy.getLogger().debug("Rule: nodeStatement (node) ", $$[$0]); + this.$ = { id: $$[$0].id, label: $$[$0].label, type: yy.typeStr2Type($$[$0].typeStr), directions: $$[$0].directions, widthInColumns: 1 }; + break; + case 26: + yy.getLogger().debug("APA123", this ? this : "na"); + yy.getLogger().debug("COLUMNS: ", $$[$0]); + this.$ = { type: "column-setting", columns: $$[$0] === "auto" ? -1 : parseInt($$[$0]) }; + break; + case 27: + yy.getLogger().debug("Rule: id-block statement : ", $$[$0 - 2], $$[$0 - 1]); + yy.generateId(); + this.$ = { ...$$[$0 - 2], type: "composite", children: $$[$0 - 1] }; + break; + case 28: + yy.getLogger().debug("Rule: blockStatement : ", $$[$0 - 2], $$[$0 - 1], $$[$0]); + const id = yy.generateId(); + this.$ = { id, type: "composite", label: "", children: $$[$0 - 1] }; + break; + case 29: + yy.getLogger().debug("Rule: node (NODE_ID seperator): ", $$[$0]); + this.$ = { id: $$[$0] }; + break; + case 30: + yy.getLogger().debug("Rule: node (NODE_ID nodeShapeNLabel seperator): ", $$[$0 - 1], $$[$0]); + this.$ = { id: $$[$0 - 1], label: $$[$0].label, typeStr: $$[$0].typeStr, directions: $$[$0].directions }; + break; + case 31: + yy.getLogger().debug("Rule: dirList: ", $$[$0]); + this.$ = [$$[$0]]; + break; + case 32: + yy.getLogger().debug("Rule: dirList: ", $$[$0 - 1], $$[$0]); + this.$ = [$$[$0 - 1]].concat($$[$0]); + break; + case 33: + yy.getLogger().debug("Rule: nodeShapeNLabel: ", $$[$0 - 2], $$[$0 - 1], $$[$0]); + this.$ = { typeStr: $$[$0 - 2] + $$[$0], label: $$[$0 - 1] }; + break; + case 34: + yy.getLogger().debug("Rule: BLOCK_ARROW nodeShapeNLabel: ", $$[$0 - 3], $$[$0 - 2], " #3:", $$[$0 - 1], $$[$0]); + this.$ = { typeStr: $$[$0 - 3] + $$[$0], label: $$[$0 - 2], directions: $$[$0 - 1] }; + break; + case 35: + case 36: + this.$ = { type: "classDef", id: $$[$0 - 1].trim(), css: $$[$0].trim() }; + break; + case 37: + this.$ = { type: "applyClass", id: $$[$0 - 1].trim(), styleClass: $$[$0].trim() }; + break; + case 38: + this.$ = { type: "applyStyles", id: $$[$0 - 1].trim(), stylesStr: $$[$0].trim() }; + break; + } + }, + table: [{ 9: 1, 10: [1, 2] }, { 1: [3] }, { 11: 3, 13: 4, 19: 5, 20: 6, 21: $V0, 22: 8, 23: 9, 24: 10, 25: 11, 26: 12, 28: $V1, 29: $V2, 31: $V3, 32: $V4, 40: $V5, 44: $V6, 47: $V7 }, { 8: [1, 20] }, o($V8, [2, 12], { 13: 4, 19: 5, 20: 6, 22: 8, 23: 9, 24: 10, 25: 11, 26: 12, 11: 21, 21: $V0, 28: $V1, 29: $V2, 31: $V3, 32: $V4, 40: $V5, 44: $V6, 47: $V7 }), o($V9, [2, 16], { 14: 22, 15: $Va, 16: $Vb }), o($V9, [2, 17]), o($V9, [2, 18]), o($V9, [2, 19]), o($V9, [2, 20]), o($V9, [2, 21]), o($V9, [2, 22]), o($Vc, [2, 25], { 27: [1, 25] }), o($V9, [2, 26]), { 19: 26, 26: 12, 32: $V4 }, { 11: 27, 13: 4, 19: 5, 20: 6, 21: $V0, 22: 8, 23: 9, 24: 10, 25: 11, 26: 12, 28: $V1, 29: $V2, 31: $V3, 32: $V4, 40: $V5, 44: $V6, 47: $V7 }, { 41: [1, 28], 43: [1, 29] }, { 45: [1, 30] }, { 48: [1, 31] }, o($Vd, [2, 29], { 33: 32, 36: [1, 33], 38: [1, 34] }), { 1: [2, 7] }, o($V8, [2, 13]), { 26: 35, 32: $V4 }, { 32: [2, 14] }, { 17: [1, 36] }, o($Vc, [2, 24]), { 11: 37, 13: 4, 14: 22, 15: $Va, 16: $Vb, 19: 5, 20: 6, 21: $V0, 22: 8, 23: 9, 24: 10, 25: 11, 26: 12, 28: $V1, 29: $V2, 31: $V3, 32: $V4, 40: $V5, 44: $V6, 47: $V7 }, { 30: [1, 38] }, { 42: [1, 39] }, { 42: [1, 40] }, { 46: [1, 41] }, { 49: [1, 42] }, o($Vd, [2, 30]), { 18: [1, 43] }, { 18: [1, 44] }, o($Vc, [2, 23]), { 18: [1, 45] }, { 30: [1, 46] }, o($V9, [2, 28]), o($V9, [2, 35]), o($V9, [2, 36]), o($V9, [2, 37]), o($V9, [2, 38]), { 37: [1, 47] }, { 34: 48, 35: $Ve }, { 15: [1, 50] }, o($V9, [2, 27]), o($Vd, [2, 33]), { 39: [1, 51] }, { 34: 52, 35: $Ve, 39: [2, 31] }, { 32: [2, 15] }, o($Vd, [2, 34]), { 39: [2, 32] }], + defaultActions: { 20: [2, 7], 23: [2, 14], 50: [2, 15], 52: [2, 32] }, + parseError: function parseError(str, hash) { + if (hash.recoverable) { + this.trace(str); + } else { + var error = new Error(str); + error.hash = hash; + throw error; + } + }, + parse: function parse(input) { + var self = this, stack = [0], tstack = [], vstack = [null], lstack = [], table = this.table, yytext = "", yylineno = 0, yyleng = 0, TERROR = 2, EOF = 1; + var args = lstack.slice.call(arguments, 1); + var lexer2 = Object.create(this.lexer); + var sharedState = { yy: {} }; + for (var k in this.yy) { + if (Object.prototype.hasOwnProperty.call(this.yy, k)) { + sharedState.yy[k] = this.yy[k]; + } + } + lexer2.setInput(input, sharedState.yy); + sharedState.yy.lexer = lexer2; + sharedState.yy.parser = this; + if (typeof lexer2.yylloc == "undefined") { + lexer2.yylloc = {}; + } + var yyloc = lexer2.yylloc; + lstack.push(yyloc); + var ranges = lexer2.options && lexer2.options.ranges; + if (typeof sharedState.yy.parseError === "function") { + this.parseError = sharedState.yy.parseError; + } else { + this.parseError = Object.getPrototypeOf(this).parseError; + } + function lex() { + var token; + token = tstack.pop() || lexer2.lex() || EOF; + if (typeof token !== "number") { + if (token instanceof Array) { + tstack = token; + token = tstack.pop(); + } + token = self.symbols_[token] || token; + } + return token; + } + var symbol, state, action, r, yyval = {}, p, len, newState, expected; + while (true) { + state = stack[stack.length - 1]; + if (this.defaultActions[state]) { + action = this.defaultActions[state]; + } else { + if (symbol === null || typeof symbol == "undefined") { + symbol = lex(); + } + action = table[state] && table[state][symbol]; + } + if (typeof action === "undefined" || !action.length || !action[0]) { + var errStr = ""; + expected = []; + for (p in table[state]) { + if (this.terminals_[p] && p > TERROR) { + expected.push("'" + this.terminals_[p] + "'"); + } + } + if (lexer2.showPosition) { + errStr = "Parse error on line " + (yylineno + 1) + ":\n" + lexer2.showPosition() + "\nExpecting " + expected.join(", ") + ", got '" + (this.terminals_[symbol] || symbol) + "'"; + } else { + errStr = "Parse error on line " + (yylineno + 1) + ": Unexpected " + (symbol == EOF ? "end of input" : "'" + (this.terminals_[symbol] || symbol) + "'"); + } + this.parseError(errStr, { + text: lexer2.match, + token: this.terminals_[symbol] || symbol, + line: lexer2.yylineno, + loc: yyloc, + expected + }); + } + if (action[0] instanceof Array && action.length > 1) { + throw new Error("Parse Error: multiple actions possible at state: " + state + ", token: " + symbol); + } + switch (action[0]) { + case 1: + stack.push(symbol); + vstack.push(lexer2.yytext); + lstack.push(lexer2.yylloc); + stack.push(action[1]); + symbol = null; + { + yyleng = lexer2.yyleng; + yytext = lexer2.yytext; + yylineno = lexer2.yylineno; + yyloc = lexer2.yylloc; + } + break; + case 2: + len = this.productions_[action[1]][1]; + yyval.$ = vstack[vstack.length - len]; + yyval._$ = { + first_line: lstack[lstack.length - (len || 1)].first_line, + last_line: lstack[lstack.length - 1].last_line, + first_column: lstack[lstack.length - (len || 1)].first_column, + last_column: lstack[lstack.length - 1].last_column + }; + if (ranges) { + yyval._$.range = [ + lstack[lstack.length - (len || 1)].range[0], + lstack[lstack.length - 1].range[1] + ]; + } + r = this.performAction.apply(yyval, [ + yytext, + yyleng, + yylineno, + sharedState.yy, + action[1], + vstack, + lstack + ].concat(args)); + if (typeof r !== "undefined") { + return r; + } + if (len) { + stack = stack.slice(0, -1 * len * 2); + vstack = vstack.slice(0, -1 * len); + lstack = lstack.slice(0, -1 * len); + } + stack.push(this.productions_[action[1]][0]); + vstack.push(yyval.$); + lstack.push(yyval._$); + newState = table[stack[stack.length - 2]][stack[stack.length - 1]]; + stack.push(newState); + break; + case 3: + return true; + } + } + return true; + } + }; + var lexer = function() { + var lexer2 = { + EOF: 1, + parseError: function parseError(str, hash) { + if (this.yy.parser) { + this.yy.parser.parseError(str, hash); + } else { + throw new Error(str); + } + }, + // resets the lexer, sets new input + setInput: function(input, yy) { + this.yy = yy || this.yy || {}; + this._input = input; + this._more = this._backtrack = this.done = false; + this.yylineno = this.yyleng = 0; + this.yytext = this.matched = this.match = ""; + this.conditionStack = ["INITIAL"]; + this.yylloc = { + first_line: 1, + first_column: 0, + last_line: 1, + last_column: 0 + }; + if (this.options.ranges) { + this.yylloc.range = [0, 0]; + } + this.offset = 0; + return this; + }, + // consumes and returns one char from the input + input: function() { + var ch = this._input[0]; + this.yytext += ch; + this.yyleng++; + this.offset++; + this.match += ch; + this.matched += ch; + var lines = ch.match(/(?:\r\n?|\n).*/g); + if (lines) { + this.yylineno++; + this.yylloc.last_line++; + } else { + this.yylloc.last_column++; + } + if (this.options.ranges) { + this.yylloc.range[1]++; + } + this._input = this._input.slice(1); + return ch; + }, + // unshifts one char (or a string) into the input + unput: function(ch) { + var len = ch.length; + var lines = ch.split(/(?:\r\n?|\n)/g); + this._input = ch + this._input; + this.yytext = this.yytext.substr(0, this.yytext.length - len); + this.offset -= len; + var oldLines = this.match.split(/(?:\r\n?|\n)/g); + this.match = this.match.substr(0, this.match.length - 1); + this.matched = this.matched.substr(0, this.matched.length - 1); + if (lines.length - 1) { + this.yylineno -= lines.length - 1; + } + var r = this.yylloc.range; + this.yylloc = { + first_line: this.yylloc.first_line, + last_line: this.yylineno + 1, + first_column: this.yylloc.first_column, + last_column: lines ? (lines.length === oldLines.length ? this.yylloc.first_column : 0) + oldLines[oldLines.length - lines.length].length - lines[0].length : this.yylloc.first_column - len + }; + if (this.options.ranges) { + this.yylloc.range = [r[0], r[0] + this.yyleng - len]; + } + this.yyleng = this.yytext.length; + return this; + }, + // When called from action, caches matched text and appends it on next action + more: function() { + this._more = true; + return this; + }, + // When called from action, signals the lexer that this rule fails to match the input, so the next matching rule (regex) should be tested instead. + reject: function() { + if (this.options.backtrack_lexer) { + this._backtrack = true; + } else { + return this.parseError("Lexical error on line " + (this.yylineno + 1) + ". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n" + this.showPosition(), { + text: "", + token: null, + line: this.yylineno + }); + } + return this; + }, + // retain first n characters of the match + less: function(n) { + this.unput(this.match.slice(n)); + }, + // displays already matched input, i.e. for error messages + pastInput: function() { + var past = this.matched.substr(0, this.matched.length - this.match.length); + return (past.length > 20 ? "..." : "") + past.substr(-20).replace(/\n/g, ""); + }, + // displays upcoming input, i.e. for error messages + upcomingInput: function() { + var next = this.match; + if (next.length < 20) { + next += this._input.substr(0, 20 - next.length); + } + return (next.substr(0, 20) + (next.length > 20 ? "..." : "")).replace(/\n/g, ""); + }, + // displays the character position where the lexing error occurred, i.e. for error messages + showPosition: function() { + var pre = this.pastInput(); + var c = new Array(pre.length + 1).join("-"); + return pre + this.upcomingInput() + "\n" + c + "^"; + }, + // test the lexed token: return FALSE when not a match, otherwise return token + test_match: function(match, indexed_rule) { + var token, lines, backup; + if (this.options.backtrack_lexer) { + backup = { + yylineno: this.yylineno, + yylloc: { + first_line: this.yylloc.first_line, + last_line: this.last_line, + first_column: this.yylloc.first_column, + last_column: this.yylloc.last_column + }, + yytext: this.yytext, + match: this.match, + matches: this.matches, + matched: this.matched, + yyleng: this.yyleng, + offset: this.offset, + _more: this._more, + _input: this._input, + yy: this.yy, + conditionStack: this.conditionStack.slice(0), + done: this.done + }; + if (this.options.ranges) { + backup.yylloc.range = this.yylloc.range.slice(0); + } + } + lines = match[0].match(/(?:\r\n?|\n).*/g); + if (lines) { + this.yylineno += lines.length; + } + this.yylloc = { + first_line: this.yylloc.last_line, + last_line: this.yylineno + 1, + first_column: this.yylloc.last_column, + last_column: lines ? lines[lines.length - 1].length - lines[lines.length - 1].match(/\r?\n?/)[0].length : this.yylloc.last_column + match[0].length + }; + this.yytext += match[0]; + this.match += match[0]; + this.matches = match; + this.yyleng = this.yytext.length; + if (this.options.ranges) { + this.yylloc.range = [this.offset, this.offset += this.yyleng]; + } + this._more = false; + this._backtrack = false; + this._input = this._input.slice(match[0].length); + this.matched += match[0]; + token = this.performAction.call(this, this.yy, this, indexed_rule, this.conditionStack[this.conditionStack.length - 1]); + if (this.done && this._input) { + this.done = false; + } + if (token) { + return token; + } else if (this._backtrack) { + for (var k in backup) { + this[k] = backup[k]; + } + return false; + } + return false; + }, + // return next match in input + next: function() { + if (this.done) { + return this.EOF; + } + if (!this._input) { + this.done = true; + } + var token, match, tempMatch, index; + if (!this._more) { + this.yytext = ""; + this.match = ""; + } + var rules = this._currentRules(); + for (var i = 0; i < rules.length; i++) { + tempMatch = this._input.match(this.rules[rules[i]]); + if (tempMatch && (!match || tempMatch[0].length > match[0].length)) { + match = tempMatch; + index = i; + if (this.options.backtrack_lexer) { + token = this.test_match(tempMatch, rules[i]); + if (token !== false) { + return token; + } else if (this._backtrack) { + match = false; + continue; + } else { + return false; + } + } else if (!this.options.flex) { + break; + } + } + } + if (match) { + token = this.test_match(match, rules[index]); + if (token !== false) { + return token; + } + return false; + } + if (this._input === "") { + return this.EOF; + } else { + return this.parseError("Lexical error on line " + (this.yylineno + 1) + ". Unrecognized text.\n" + this.showPosition(), { + text: "", + token: null, + line: this.yylineno + }); + } + }, + // return next match that has a token + lex: function lex() { + var r = this.next(); + if (r) { + return r; + } else { + return this.lex(); + } + }, + // activates a new lexer condition state (pushes the new lexer condition state onto the condition stack) + begin: function begin(condition) { + this.conditionStack.push(condition); + }, + // pop the previously active lexer condition state off the condition stack + popState: function popState() { + var n = this.conditionStack.length - 1; + if (n > 0) { + return this.conditionStack.pop(); + } else { + return this.conditionStack[0]; + } + }, + // produce the lexer rule set which is active for the currently active lexer condition state + _currentRules: function _currentRules() { + if (this.conditionStack.length && this.conditionStack[this.conditionStack.length - 1]) { + return this.conditions[this.conditionStack[this.conditionStack.length - 1]].rules; + } else { + return this.conditions["INITIAL"].rules; + } + }, + // return the currently active lexer condition state; when an index argument is provided it produces the N-th previous condition state, if available + topState: function topState(n) { + n = this.conditionStack.length - 1 - Math.abs(n || 0); + if (n >= 0) { + return this.conditionStack[n]; + } else { + return "INITIAL"; + } + }, + // alias for begin(condition) + pushState: function pushState(condition) { + this.begin(condition); + }, + // return the number of states currently on the stack + stateStackSize: function stateStackSize() { + return this.conditionStack.length; + }, + options: {}, + performAction: function anonymous(yy, yy_, $avoiding_name_collisions, YY_START) { + switch ($avoiding_name_collisions) { + case 0: + return 10; + case 1: + yy.getLogger().debug("Found space-block"); + return 31; + case 2: + yy.getLogger().debug("Found nl-block"); + return 31; + case 3: + yy.getLogger().debug("Found space-block"); + return 29; + case 4: + yy.getLogger().debug(".", yy_.yytext); + break; + case 5: + yy.getLogger().debug("_", yy_.yytext); + break; + case 6: + return 5; + case 7: + yy_.yytext = -1; + return 28; + case 8: + yy_.yytext = yy_.yytext.replace(/columns\s+/, ""); + yy.getLogger().debug("COLUMNS (LEX)", yy_.yytext); + return 28; + case 9: + this.pushState("md_string"); + break; + case 10: + return "MD_STR"; + case 11: + this.popState(); + break; + case 12: + this.pushState("string"); + break; + case 13: + yy.getLogger().debug("LEX: POPPING STR:", yy_.yytext); + this.popState(); + break; + case 14: + yy.getLogger().debug("LEX: STR end:", yy_.yytext); + return "STR"; + case 15: + yy_.yytext = yy_.yytext.replace(/space\:/, ""); + yy.getLogger().debug("SPACE NUM (LEX)", yy_.yytext); + return 21; + case 16: + yy_.yytext = "1"; + yy.getLogger().debug("COLUMNS (LEX)", yy_.yytext); + return 21; + case 17: + return 43; + case 18: + return "LINKSTYLE"; + case 19: + return "INTERPOLATE"; + case 20: + this.pushState("CLASSDEF"); + return 40; + case 21: + this.popState(); + this.pushState("CLASSDEFID"); + return "DEFAULT_CLASSDEF_ID"; + case 22: + this.popState(); + this.pushState("CLASSDEFID"); + return 41; + case 23: + this.popState(); + return 42; + case 24: + this.pushState("CLASS"); + return 44; + case 25: + this.popState(); + this.pushState("CLASS_STYLE"); + return 45; + case 26: + this.popState(); + return 46; + case 27: + this.pushState("STYLE_STMNT"); + return 47; + case 28: + this.popState(); + this.pushState("STYLE_DEFINITION"); + return 48; + case 29: + this.popState(); + return 49; + case 30: + this.pushState("acc_title"); + return "acc_title"; + case 31: + this.popState(); + return "acc_title_value"; + case 32: + this.pushState("acc_descr"); + return "acc_descr"; + case 33: + this.popState(); + return "acc_descr_value"; + case 34: + this.pushState("acc_descr_multiline"); + break; + case 35: + this.popState(); + break; + case 36: + return "acc_descr_multiline_value"; + case 37: + return 30; + case 38: + this.popState(); + yy.getLogger().debug("Lex: (("); + return "NODE_DEND"; + case 39: + this.popState(); + yy.getLogger().debug("Lex: (("); + return "NODE_DEND"; + case 40: + this.popState(); + yy.getLogger().debug("Lex: ))"); + return "NODE_DEND"; + case 41: + this.popState(); + yy.getLogger().debug("Lex: (("); + return "NODE_DEND"; + case 42: + this.popState(); + yy.getLogger().debug("Lex: (("); + return "NODE_DEND"; + case 43: + this.popState(); + yy.getLogger().debug("Lex: (-"); + return "NODE_DEND"; + case 44: + this.popState(); + yy.getLogger().debug("Lex: -)"); + return "NODE_DEND"; + case 45: + this.popState(); + yy.getLogger().debug("Lex: (("); + return "NODE_DEND"; + case 46: + this.popState(); + yy.getLogger().debug("Lex: ]]"); + return "NODE_DEND"; + case 47: + this.popState(); + yy.getLogger().debug("Lex: ("); + return "NODE_DEND"; + case 48: + this.popState(); + yy.getLogger().debug("Lex: ])"); + return "NODE_DEND"; + case 49: + this.popState(); + yy.getLogger().debug("Lex: /]"); + return "NODE_DEND"; + case 50: + this.popState(); + yy.getLogger().debug("Lex: /]"); + return "NODE_DEND"; + case 51: + this.popState(); + yy.getLogger().debug("Lex: )]"); + return "NODE_DEND"; + case 52: + this.popState(); + yy.getLogger().debug("Lex: )"); + return "NODE_DEND"; + case 53: + this.popState(); + yy.getLogger().debug("Lex: ]>"); + return "NODE_DEND"; + case 54: + this.popState(); + yy.getLogger().debug("Lex: ]"); + return "NODE_DEND"; + case 55: + yy.getLogger().debug("Lexa: -)"); + this.pushState("NODE"); + return 36; + case 56: + yy.getLogger().debug("Lexa: (-"); + this.pushState("NODE"); + return 36; + case 57: + yy.getLogger().debug("Lexa: ))"); + this.pushState("NODE"); + return 36; + case 58: + yy.getLogger().debug("Lexa: )"); + this.pushState("NODE"); + return 36; + case 59: + yy.getLogger().debug("Lex: ((("); + this.pushState("NODE"); + return 36; + case 60: + yy.getLogger().debug("Lexa: )"); + this.pushState("NODE"); + return 36; + case 61: + yy.getLogger().debug("Lexa: )"); + this.pushState("NODE"); + return 36; + case 62: + yy.getLogger().debug("Lexa: )"); + this.pushState("NODE"); + return 36; + case 63: + yy.getLogger().debug("Lexc: >"); + this.pushState("NODE"); + return 36; + case 64: + yy.getLogger().debug("Lexa: (["); + this.pushState("NODE"); + return 36; + case 65: + yy.getLogger().debug("Lexa: )"); + this.pushState("NODE"); + return 36; + case 66: + this.pushState("NODE"); + return 36; + case 67: + this.pushState("NODE"); + return 36; + case 68: + this.pushState("NODE"); + return 36; + case 69: + this.pushState("NODE"); + return 36; + case 70: + this.pushState("NODE"); + return 36; + case 71: + this.pushState("NODE"); + return 36; + case 72: + this.pushState("NODE"); + return 36; + case 73: + yy.getLogger().debug("Lexa: ["); + this.pushState("NODE"); + return 36; + case 74: + this.pushState("BLOCK_ARROW"); + yy.getLogger().debug("LEX ARR START"); + return 38; + case 75: + yy.getLogger().debug("Lex: NODE_ID", yy_.yytext); + return 32; + case 76: + yy.getLogger().debug("Lex: EOF", yy_.yytext); + return 8; + case 77: + this.pushState("md_string"); + break; + case 78: + this.pushState("md_string"); + break; + case 79: + return "NODE_DESCR"; + case 80: + this.popState(); + break; + case 81: + yy.getLogger().debug("Lex: Starting string"); + this.pushState("string"); + break; + case 82: + yy.getLogger().debug("LEX ARR: Starting string"); + this.pushState("string"); + break; + case 83: + yy.getLogger().debug("LEX: NODE_DESCR:", yy_.yytext); + return "NODE_DESCR"; + case 84: + yy.getLogger().debug("LEX POPPING"); + this.popState(); + break; + case 85: + yy.getLogger().debug("Lex: =>BAE"); + this.pushState("ARROW_DIR"); + break; + case 86: + yy_.yytext = yy_.yytext.replace(/^,\s*/, ""); + yy.getLogger().debug("Lex (right): dir:", yy_.yytext); + return "DIR"; + case 87: + yy_.yytext = yy_.yytext.replace(/^,\s*/, ""); + yy.getLogger().debug("Lex (left):", yy_.yytext); + return "DIR"; + case 88: + yy_.yytext = yy_.yytext.replace(/^,\s*/, ""); + yy.getLogger().debug("Lex (x):", yy_.yytext); + return "DIR"; + case 89: + yy_.yytext = yy_.yytext.replace(/^,\s*/, ""); + yy.getLogger().debug("Lex (y):", yy_.yytext); + return "DIR"; + case 90: + yy_.yytext = yy_.yytext.replace(/^,\s*/, ""); + yy.getLogger().debug("Lex (up):", yy_.yytext); + return "DIR"; + case 91: + yy_.yytext = yy_.yytext.replace(/^,\s*/, ""); + yy.getLogger().debug("Lex (down):", yy_.yytext); + return "DIR"; + case 92: + yy_.yytext = "]>"; + yy.getLogger().debug("Lex (ARROW_DIR end):", yy_.yytext); + this.popState(); + this.popState(); + return "BLOCK_ARROW_END"; + case 93: + yy.getLogger().debug("Lex: LINK", "#" + yy_.yytext + "#"); + return 15; + case 94: + yy.getLogger().debug("Lex: LINK", yy_.yytext); + return 15; + case 95: + yy.getLogger().debug("Lex: LINK", yy_.yytext); + return 15; + case 96: + yy.getLogger().debug("Lex: LINK", yy_.yytext); + return 15; + case 97: + yy.getLogger().debug("Lex: START_LINK", yy_.yytext); + this.pushState("LLABEL"); + return 16; + case 98: + yy.getLogger().debug("Lex: START_LINK", yy_.yytext); + this.pushState("LLABEL"); + return 16; + case 99: + yy.getLogger().debug("Lex: START_LINK", yy_.yytext); + this.pushState("LLABEL"); + return 16; + case 100: + this.pushState("md_string"); + break; + case 101: + yy.getLogger().debug("Lex: Starting string"); + this.pushState("string"); + return "LINK_LABEL"; + case 102: + this.popState(); + yy.getLogger().debug("Lex: LINK", "#" + yy_.yytext + "#"); + return 15; + case 103: + this.popState(); + yy.getLogger().debug("Lex: LINK", yy_.yytext); + return 15; + case 104: + this.popState(); + yy.getLogger().debug("Lex: LINK", yy_.yytext); + return 15; + case 105: + yy.getLogger().debug("Lex: COLON", yy_.yytext); + yy_.yytext = yy_.yytext.slice(1); + return 27; + } + }, + rules: [/^(?:block-beta\b)/, /^(?:block\s+)/, /^(?:block\n+)/, /^(?:block:)/, /^(?:[\s]+)/, /^(?:[\n]+)/, /^(?:((\u000D\u000A)|(\u000A)))/, /^(?:columns\s+auto\b)/, /^(?:columns\s+[\d]+)/, /^(?:["][`])/, /^(?:[^`"]+)/, /^(?:[`]["])/, /^(?:["])/, /^(?:["])/, /^(?:[^"]*)/, /^(?:space[:]\d+)/, /^(?:space\b)/, /^(?:default\b)/, /^(?:linkStyle\b)/, /^(?:interpolate\b)/, /^(?:classDef\s+)/, /^(?:DEFAULT\s+)/, /^(?:\w+\s+)/, /^(?:[^\n]*)/, /^(?:class\s+)/, /^(?:(\w+)+((,\s*\w+)*))/, /^(?:[^\n]*)/, /^(?:style\s+)/, /^(?:(\w+)+((,\s*\w+)*))/, /^(?:[^\n]*)/, /^(?:accTitle\s*:\s*)/, /^(?:(?!\n||)*[^\n]*)/, /^(?:accDescr\s*:\s*)/, /^(?:(?!\n||)*[^\n]*)/, /^(?:accDescr\s*\{\s*)/, /^(?:[\}])/, /^(?:[^\}]*)/, /^(?:end\b\s*)/, /^(?:\(\(\()/, /^(?:\)\)\))/, /^(?:[\)]\))/, /^(?:\}\})/, /^(?:\})/, /^(?:\(-)/, /^(?:-\))/, /^(?:\(\()/, /^(?:\]\])/, /^(?:\()/, /^(?:\]\))/, /^(?:\\\])/, /^(?:\/\])/, /^(?:\)\])/, /^(?:[\)])/, /^(?:\]>)/, /^(?:[\]])/, /^(?:-\))/, /^(?:\(-)/, /^(?:\)\))/, /^(?:\))/, /^(?:\(\(\()/, /^(?:\(\()/, /^(?:\{\{)/, /^(?:\{)/, /^(?:>)/, /^(?:\(\[)/, /^(?:\()/, /^(?:\[\[)/, /^(?:\[\|)/, /^(?:\[\()/, /^(?:\)\)\))/, /^(?:\[\\)/, /^(?:\[\/)/, /^(?:\[\\)/, /^(?:\[)/, /^(?:<\[)/, /^(?:[^\(\[\n\-\)\{\}\s\<\>:]+)/, /^(?:$)/, /^(?:["][`])/, /^(?:["][`])/, /^(?:[^`"]+)/, /^(?:[`]["])/, /^(?:["])/, /^(?:["])/, /^(?:[^"]+)/, /^(?:["])/, /^(?:\]>\s*\()/, /^(?:,?\s*right\s*)/, /^(?:,?\s*left\s*)/, /^(?:,?\s*x\s*)/, /^(?:,?\s*y\s*)/, /^(?:,?\s*up\s*)/, /^(?:,?\s*down\s*)/, /^(?:\)\s*)/, /^(?:\s*[xo<]?--+[-xo>]\s*)/, /^(?:\s*[xo<]?==+[=xo>]\s*)/, /^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/, /^(?:\s*~~[\~]+\s*)/, /^(?:\s*[xo<]?--\s*)/, /^(?:\s*[xo<]?==\s*)/, /^(?:\s*[xo<]?-\.\s*)/, /^(?:["][`])/, /^(?:["])/, /^(?:\s*[xo<]?--+[-xo>]\s*)/, /^(?:\s*[xo<]?==+[=xo>]\s*)/, /^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/, /^(?::\d+)/], + conditions: { "STYLE_DEFINITION": { "rules": [29], "inclusive": false }, "STYLE_STMNT": { "rules": [28], "inclusive": false }, "CLASSDEFID": { "rules": [23], "inclusive": false }, "CLASSDEF": { "rules": [21, 22], "inclusive": false }, "CLASS_STYLE": { "rules": [26], "inclusive": false }, "CLASS": { "rules": [25], "inclusive": false }, "LLABEL": { "rules": [100, 101, 102, 103, 104], "inclusive": false }, "ARROW_DIR": { "rules": [86, 87, 88, 89, 90, 91, 92], "inclusive": false }, "BLOCK_ARROW": { "rules": [77, 82, 85], "inclusive": false }, "NODE": { "rules": [38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 78, 81], "inclusive": false }, "md_string": { "rules": [10, 11, 79, 80], "inclusive": false }, "space": { "rules": [], "inclusive": false }, "string": { "rules": [13, 14, 83, 84], "inclusive": false }, "acc_descr_multiline": { "rules": [35, 36], "inclusive": false }, "acc_descr": { "rules": [33], "inclusive": false }, "acc_title": { "rules": [31], "inclusive": false }, "INITIAL": { "rules": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 15, 16, 17, 18, 19, 20, 24, 27, 30, 32, 34, 37, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 93, 94, 95, 96, 97, 98, 99, 105], "inclusive": true } } + }; + return lexer2; + }(); + parser2.lexer = lexer; + function Parser() { + this.yy = {}; + } + Parser.prototype = parser2; + parser2.Parser = Parser; + return new Parser(); +}(); +parser.parser = parser; +const parser$1 = parser; +let blockDatabase = {}; +let edgeList = []; +let edgeCount = {}; +const COLOR_KEYWORD = "color"; +const FILL_KEYWORD = "fill"; +const BG_FILL = "bgFill"; +const STYLECLASS_SEP = ","; +let classes = {}; +const addStyleClass = function(id, styleAttributes = "") { + if (classes[id] === void 0) { + classes[id] = { id, styles: [], textStyles: [] }; + } + const foundClass = classes[id]; + if (styleAttributes !== void 0 && styleAttributes !== null) { + styleAttributes.split(STYLECLASS_SEP).forEach((attrib) => { + const fixedAttrib = attrib.replace(/([^;]*);/, "$1").trim(); + if (attrib.match(COLOR_KEYWORD)) { + const newStyle1 = fixedAttrib.replace(FILL_KEYWORD, BG_FILL); + const newStyle2 = newStyle1.replace(COLOR_KEYWORD, FILL_KEYWORD); + foundClass.textStyles.push(newStyle2); + } + foundClass.styles.push(fixedAttrib); + }); + } +}; +const addStyle2Node = function(id, styles = "") { + const foundBlock = blockDatabase[id]; + if (styles !== void 0 && styles !== null) { + foundBlock.styles = styles.split(STYLECLASS_SEP); + } +}; +const setCssClass = function(itemIds, cssClassName) { + itemIds.split(",").forEach(function(id) { + let foundBlock = blockDatabase[id]; + if (foundBlock === void 0) { + const trimmedId = id.trim(); + blockDatabase[trimmedId] = { id: trimmedId, type: "na", children: [] }; + foundBlock = blockDatabase[trimmedId]; + } + if (!foundBlock.classes) { + foundBlock.classes = []; + } + foundBlock.classes.push(cssClassName); + }); +}; +const populateBlockDatabase = (_blockList, parent) => { + const blockList = _blockList.flat(); + const children = []; + for (const block of blockList) { + if (block.type === "classDef") { + addStyleClass(block.id, block.css); + continue; + } + if (block.type === "applyClass") { + setCssClass(block.id, (block == null ? void 0 : block.styleClass) || ""); + continue; + } + if (block.type === "applyStyles") { + if (block == null ? void 0 : block.stylesStr) { + addStyle2Node(block.id, block == null ? void 0 : block.stylesStr); + } + continue; + } + if (block.type === "column-setting") { + parent.columns = block.columns || -1; + } else if (block.type === "edge") { + if (edgeCount[block.id]) { + edgeCount[block.id]++; + } else { + edgeCount[block.id] = 1; + } + block.id = edgeCount[block.id] + "-" + block.id; + edgeList.push(block); + } else { + if (!block.label) { + if (block.type === "composite") { + block.label = ""; + } else { + block.label = block.id; + } + } + const newBlock = !blockDatabase[block.id]; + if (newBlock) { + blockDatabase[block.id] = block; + } else { + if (block.type !== "na") { + blockDatabase[block.id].type = block.type; + } + if (block.label !== block.id) { + blockDatabase[block.id].label = block.label; + } + } + if (block.children) { + populateBlockDatabase(block.children, block); + } + if (block.type === "space") { + const w = block.width || 1; + for (let j = 0; j < w; j++) { + const newBlock2 = (0,lodash_es_clone_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(block); + newBlock2.id = newBlock2.id + "-" + j; + blockDatabase[newBlock2.id] = newBlock2; + children.push(newBlock2); + } + } else if (newBlock) { + children.push(block); + } + } + } + parent.children = children; +}; +let blocks = []; +let rootBlock = { id: "root", type: "composite", children: [], columns: -1 }; +const clear = () => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Clear called"); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.t)(); + rootBlock = { id: "root", type: "composite", children: [], columns: -1 }; + blockDatabase = { root: rootBlock }; + blocks = []; + classes = {}; + edgeList = []; + edgeCount = {}; +}; +function typeStr2Type(typeStr) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("typeStr2Type", typeStr); + switch (typeStr) { + case "[]": + return "square"; + case "()": + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("we have a round"); + return "round"; + case "(())": + return "circle"; + case ">]": + return "rect_left_inv_arrow"; + case "{}": + return "diamond"; + case "{{}}": + return "hexagon"; + case "([])": + return "stadium"; + case "[[]]": + return "subroutine"; + case "[()]": + return "cylinder"; + case "((()))": + return "doublecircle"; + case "[//]": + return "lean_right"; + case "[\\\\]": + return "lean_left"; + case "[/\\]": + return "trapezoid"; + case "[\\/]": + return "inv_trapezoid"; + case "<[]>": + return "block_arrow"; + default: + return "na"; + } +} +function edgeTypeStr2Type(typeStr) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("typeStr2Type", typeStr); + switch (typeStr) { + case "==": + return "thick"; + default: + return "normal"; + } +} +function edgeStrToEdgeData(typeStr) { + switch (typeStr.trim()) { + case "--x": + return "arrow_cross"; + case "--o": + return "arrow_circle"; + default: + return "arrow_point"; + } +} +let cnt = 0; +const generateId = () => { + cnt++; + return "id-" + Math.random().toString(36).substr(2, 12) + "-" + cnt; +}; +const setHierarchy = (block) => { + rootBlock.children = block; + populateBlockDatabase(block, rootBlock); + blocks = rootBlock.children; +}; +const getColumns = (blockid) => { + const block = blockDatabase[blockid]; + if (!block) { + return -1; + } + if (block.columns) { + return block.columns; + } + if (!block.children) { + return -1; + } + return block.children.length; +}; +const getBlocksFlat = () => { + return [...Object.values(blockDatabase)]; +}; +const getBlocks = () => { + return blocks || []; +}; +const getEdges = () => { + return edgeList; +}; +const getBlock = (id) => { + return blockDatabase[id]; +}; +const setBlock = (block) => { + blockDatabase[block.id] = block; +}; +const getLogger = () => console; +const getClasses$1 = function() { + return classes; +}; +const db = { + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.E)().block, + typeStr2Type, + edgeTypeStr2Type, + edgeStrToEdgeData, + getLogger, + getBlocksFlat, + getBlocks, + getEdges, + setHierarchy, + getBlock, + setBlock, + getColumns, + getClasses: getClasses$1, + clear, + generateId +}; +const db$1 = db; +const fade = (color, opacity) => { + const channel = khroma__WEBPACK_IMPORTED_MODULE_7__/* ["default"] */ .c; + const r = channel(color, "r"); + const g = channel(color, "g"); + const b = channel(color, "b"); + return khroma__WEBPACK_IMPORTED_MODULE_8__/* ["default"] */ .c(r, g, b, opacity); +}; +const getStyles = (options) => `.label { + font-family: ${options.fontFamily}; + color: ${options.nodeTextColor || options.textColor}; + } + .cluster-label text { + fill: ${options.titleColor}; + } + .cluster-label span,p { + color: ${options.titleColor}; + } + + + + .label text,span,p { + fill: ${options.nodeTextColor || options.textColor}; + color: ${options.nodeTextColor || options.textColor}; + } + + .node rect, + .node circle, + .node ellipse, + .node polygon, + .node path { + fill: ${options.mainBkg}; + stroke: ${options.nodeBorder}; + stroke-width: 1px; + } + .flowchart-label text { + text-anchor: middle; + } + // .flowchart-label .text-outer-tspan { + // text-anchor: middle; + // } + // .flowchart-label .text-inner-tspan { + // text-anchor: start; + // } + + .node .label { + text-align: center; + } + .node.clickable { + cursor: pointer; + } + + .arrowheadPath { + fill: ${options.arrowheadColor}; + } + + .edgePath .path { + stroke: ${options.lineColor}; + stroke-width: 2.0px; + } + + .flowchart-link { + stroke: ${options.lineColor}; + fill: none; + } + + .edgeLabel { + background-color: ${options.edgeLabelBackground}; + rect { + opacity: 0.5; + background-color: ${options.edgeLabelBackground}; + fill: ${options.edgeLabelBackground}; + } + text-align: center; + } + + /* For html labels only */ + .labelBkg { + background-color: ${fade(options.edgeLabelBackground, 0.5)}; + // background-color: + } + + .node .cluster { + // fill: ${fade(options.mainBkg, 0.5)}; + fill: ${fade(options.clusterBkg, 0.5)}; + stroke: ${fade(options.clusterBorder, 0.2)}; + box-shadow: rgba(50, 50, 93, 0.25) 0px 13px 27px -5px, rgba(0, 0, 0, 0.3) 0px 8px 16px -8px; + stroke-width: 1px; + } + + .cluster text { + fill: ${options.titleColor}; + } + + .cluster span,p { + color: ${options.titleColor}; + } + /* .cluster div { + color: ${options.titleColor}; + } */ + + div.mermaidTooltip { + position: absolute; + text-align: center; + max-width: 200px; + padding: 2px; + font-family: ${options.fontFamily}; + font-size: 12px; + background: ${options.tertiaryColor}; + border: 1px solid ${options.border2}; + border-radius: 2px; + pointer-events: none; + z-index: 100; + } + + .flowchartTitleText { + text-anchor: middle; + font-size: 18px; + fill: ${options.textColor}; + } +`; +const flowStyles = getStyles; +function getNodeFromBlock(block, db2, positioned = false) { + var _a2, _b2, _c; + const vertex = block; + let classStr = "default"; + if ((((_a2 = vertex == null ? void 0 : vertex.classes) == null ? void 0 : _a2.length) || 0) > 0) { + classStr = ((vertex == null ? void 0 : vertex.classes) || []).join(" "); + } + classStr = classStr + " flowchart-label"; + let radius = 0; + let shape = ""; + let padding2; + switch (vertex.type) { + case "round": + radius = 5; + shape = "rect"; + break; + case "composite": + radius = 0; + shape = "composite"; + padding2 = 0; + break; + case "square": + shape = "rect"; + break; + case "diamond": + shape = "question"; + break; + case "hexagon": + shape = "hexagon"; + break; + case "block_arrow": + shape = "block_arrow"; + break; + case "odd": + shape = "rect_left_inv_arrow"; + break; + case "lean_right": + shape = "lean_right"; + break; + case "lean_left": + shape = "lean_left"; + break; + case "trapezoid": + shape = "trapezoid"; + break; + case "inv_trapezoid": + shape = "inv_trapezoid"; + break; + case "rect_left_inv_arrow": + shape = "rect_left_inv_arrow"; + break; + case "circle": + shape = "circle"; + break; + case "ellipse": + shape = "ellipse"; + break; + case "stadium": + shape = "stadium"; + break; + case "subroutine": + shape = "subroutine"; + break; + case "cylinder": + shape = "cylinder"; + break; + case "group": + shape = "rect"; + break; + case "doublecircle": + shape = "doublecircle"; + break; + default: + shape = "rect"; + } + const styles = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.k)((vertex == null ? void 0 : vertex.styles) || []); + const vertexText = vertex.label; + const bounds = vertex.size || { width: 0, height: 0, x: 0, y: 0 }; + const node = { + labelStyle: styles.labelStyle, + shape, + labelText: vertexText, + rx: radius, + ry: radius, + class: classStr, + style: styles.style, + id: vertex.id, + directions: vertex.directions, + width: bounds.width, + height: bounds.height, + x: bounds.x, + y: bounds.y, + positioned, + intersect: void 0, + type: vertex.type, + padding: padding2 ?? (((_c = (_b2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.E)()) == null ? void 0 : _b2.block) == null ? void 0 : _c.padding) || 0) + }; + return node; +} +async function calculateBlockSize(elem, block, db2) { + const node = getNodeFromBlock(block, db2, false); + if (node.type === "group") { + return; + } + const nodeEl = await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_9__.e)(elem, node); + const boundingBox = nodeEl.node().getBBox(); + const obj = db2.getBlock(node.id); + obj.size = { width: boundingBox.width, height: boundingBox.height, x: 0, y: 0, node: nodeEl }; + db2.setBlock(obj); + nodeEl.remove(); +} +async function insertBlockPositioned(elem, block, db2) { + const node = getNodeFromBlock(block, db2, true); + const obj = db2.getBlock(node.id); + if (obj.type !== "space") { + await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_9__.e)(elem, node); + block.intersect = node == null ? void 0 : node.intersect; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_9__.p)(node); + } +} +async function performOperations(elem, blocks2, db2, operation) { + for (const block of blocks2) { + await operation(elem, block, db2); + if (block.children) { + await performOperations(elem, block.children, db2, operation); + } + } +} +async function calculateBlockSizes(elem, blocks2, db2) { + await performOperations(elem, blocks2, db2, calculateBlockSize); +} +async function insertBlocks(elem, blocks2, db2) { + await performOperations(elem, blocks2, db2, insertBlockPositioned); +} +async function insertEdges(elem, edges, blocks2, db2, id) { + const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__/* .Graph */ .M({ + multigraph: true, + compound: true + }); + g.setGraph({ + rankdir: "TB", + nodesep: 10, + ranksep: 10, + marginx: 8, + marginy: 8 + }); + for (const block of blocks2) { + if (block.size) { + g.setNode(block.id, { + width: block.size.width, + height: block.size.height, + intersect: block.intersect + }); + } + } + for (const edge of edges) { + if (edge.start && edge.end) { + const startBlock = db2.getBlock(edge.start); + const endBlock = db2.getBlock(edge.end); + if ((startBlock == null ? void 0 : startBlock.size) && (endBlock == null ? void 0 : endBlock.size)) { + const start = startBlock.size; + const end = endBlock.size; + const points = [ + { x: start.x, y: start.y }, + { x: start.x + (end.x - start.x) / 2, y: start.y + (end.y - start.y) / 2 }, + { x: end.x, y: end.y } + ]; + await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_9__.h)( + elem, + { v: edge.start, w: edge.end, name: edge.id }, + { + ...edge, + arrowTypeEnd: edge.arrowTypeEnd, + arrowTypeStart: edge.arrowTypeStart, + points, + classes: "edge-thickness-normal edge-pattern-solid flowchart-link LS-a1 LE-b1" + }, + void 0, + "block", + g, + id + ); + if (edge.label) { + await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_9__.f)(elem, { + ...edge, + label: edge.label, + labelStyle: "stroke: #333; stroke-width: 1.5px;fill:none;", + arrowTypeEnd: edge.arrowTypeEnd, + arrowTypeStart: edge.arrowTypeStart, + points, + classes: "edge-thickness-normal edge-pattern-solid flowchart-link LS-a1 LE-b1" + }); + await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_9__.j)( + { ...edge, x: points[1].x, y: points[1].y }, + { + originalPath: points + } + ); + } + } + } + } +} +const padding = ((_b = (_a = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)()) == null ? void 0 : _a.block) == null ? void 0 : _b.padding) || 8; +function calculateBlockPosition(columns, position) { + if (columns === 0 || !Number.isInteger(columns)) { + throw new Error("Columns must be an integer !== 0."); + } + if (position < 0 || !Number.isInteger(position)) { + throw new Error("Position must be a non-negative integer." + position); + } + if (columns < 0) { + return { px: position, py: 0 }; + } + if (columns === 1) { + return { px: 0, py: position }; + } + const px = position % columns; + const py = Math.floor(position / columns); + return { px, py }; +} +const getMaxChildSize = (block) => { + let maxWidth = 0; + let maxHeight = 0; + for (const child of block.children) { + const { width, height, x, y } = child.size || { width: 0, height: 0, x: 0, y: 0 }; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + "getMaxChildSize abc95 child:", + child.id, + "width:", + width, + "height:", + height, + "x:", + x, + "y:", + y, + child.type + ); + if (child.type === "space") { + continue; + } + if (width > maxWidth) { + maxWidth = width / (block.widthInColumns || 1); + } + if (height > maxHeight) { + maxHeight = height; + } + } + return { width: maxWidth, height: maxHeight }; +}; +function setBlockSizes(block, db2, siblingWidth = 0, siblingHeight = 0) { + var _a2, _b2, _c, _d, _e, _f, _g, _h, _i, _j, _k; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + "setBlockSizes abc95 (start)", + block.id, + (_a2 = block == null ? void 0 : block.size) == null ? void 0 : _a2.x, + "block width =", + block == null ? void 0 : block.size, + "sieblingWidth", + siblingWidth + ); + if (!((_b2 = block == null ? void 0 : block.size) == null ? void 0 : _b2.width)) { + block.size = { + width: siblingWidth, + height: siblingHeight, + x: 0, + y: 0 + }; + } + let maxWidth = 0; + let maxHeight = 0; + if (((_c = block.children) == null ? void 0 : _c.length) > 0) { + for (const child of block.children) { + setBlockSizes(child, db2); + } + const childSize = getMaxChildSize(block); + maxWidth = childSize.width; + maxHeight = childSize.height; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("setBlockSizes abc95 maxWidth of", block.id, ":s children is ", maxWidth, maxHeight); + for (const child of block.children) { + if (child.size) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `abc95 Setting size of children of ${block.id} id=${child.id} ${maxWidth} ${maxHeight} ${child.size}` + ); + child.size.width = maxWidth * (child.widthInColumns || 1) + padding * ((child.widthInColumns || 1) - 1); + child.size.height = maxHeight; + child.size.x = 0; + child.size.y = 0; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `abc95 updating size of ${block.id} children child:${child.id} maxWidth:${maxWidth} maxHeight:${maxHeight}` + ); + } + } + for (const child of block.children) { + setBlockSizes(child, db2, maxWidth, maxHeight); + } + const columns = block.columns || -1; + let numItems = 0; + for (const child of block.children) { + numItems += child.widthInColumns || 1; + } + let xSize = block.children.length; + if (columns > 0 && columns < numItems) { + xSize = columns; + } + block.widthInColumns || 1; + const ySize = Math.ceil(numItems / xSize); + let width = xSize * (maxWidth + padding) + padding; + let height = ySize * (maxHeight + padding) + padding; + if (width < siblingWidth) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `Detected to small siebling: abc95 ${block.id} sieblingWidth ${siblingWidth} sieblingHeight ${siblingHeight} width ${width}` + ); + width = siblingWidth; + height = siblingHeight; + const childWidth = (siblingWidth - xSize * padding - padding) / xSize; + const childHeight = (siblingHeight - ySize * padding - padding) / ySize; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Size indata abc88", block.id, "childWidth", childWidth, "maxWidth", maxWidth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Size indata abc88", block.id, "childHeight", childHeight, "maxHeight", maxHeight); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Size indata abc88 xSize", xSize, "paddiong", padding); + for (const child of block.children) { + if (child.size) { + child.size.width = childWidth; + child.size.height = childHeight; + child.size.x = 0; + child.size.y = 0; + } + } + } + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `abc95 (finale calc) ${block.id} xSize ${xSize} ySize ${ySize} columns ${columns}${block.children.length} width=${Math.max(width, ((_d = block.size) == null ? void 0 : _d.width) || 0)}` + ); + if (width < (((_e = block == null ? void 0 : block.size) == null ? void 0 : _e.width) || 0)) { + width = ((_f = block == null ? void 0 : block.size) == null ? void 0 : _f.width) || 0; + const num = columns > 0 ? Math.min(block.children.length, columns) : block.children.length; + if (num > 0) { + const childWidth = (width - num * padding - padding) / num; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("abc95 (growing to fit) width", block.id, width, (_g = block.size) == null ? void 0 : _g.width, childWidth); + for (const child of block.children) { + if (child.size) { + child.size.width = childWidth; + } + } + } + } + block.size = { + width, + height, + x: 0, + y: 0 + }; + } + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + "setBlockSizes abc94 (done)", + block.id, + (_h = block == null ? void 0 : block.size) == null ? void 0 : _h.x, + (_i = block == null ? void 0 : block.size) == null ? void 0 : _i.width, + (_j = block == null ? void 0 : block.size) == null ? void 0 : _j.y, + (_k = block == null ? void 0 : block.size) == null ? void 0 : _k.height + ); +} +function layoutBlocks(block, db2) { + var _a2, _b2, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `abc85 layout blocks (=>layoutBlocks) ${block.id} x: ${(_a2 = block == null ? void 0 : block.size) == null ? void 0 : _a2.x} y: ${(_b2 = block == null ? void 0 : block.size) == null ? void 0 : _b2.y} width: ${(_c = block == null ? void 0 : block.size) == null ? void 0 : _c.width}` + ); + const columns = block.columns || -1; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("layoutBlocks columns abc95", block.id, "=>", columns, block); + if (block.children && // find max width of children + block.children.length > 0) { + const width = ((_e = (_d = block == null ? void 0 : block.children[0]) == null ? void 0 : _d.size) == null ? void 0 : _e.width) || 0; + const widthOfChildren = block.children.length * width + (block.children.length - 1) * padding; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("widthOfChildren 88", widthOfChildren, "posX"); + let columnPos = 0; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("abc91 block?.size?.x", block.id, (_f = block == null ? void 0 : block.size) == null ? void 0 : _f.x); + let startingPosX = ((_g = block == null ? void 0 : block.size) == null ? void 0 : _g.x) ? ((_h = block == null ? void 0 : block.size) == null ? void 0 : _h.x) + (-((_i = block == null ? void 0 : block.size) == null ? void 0 : _i.width) / 2 || 0) : -padding; + let rowPos = 0; + for (const child of block.children) { + const parent = block; + if (!child.size) { + continue; + } + const { width: width2, height } = child.size; + const { px, py } = calculateBlockPosition(columns, columnPos); + if (py != rowPos) { + rowPos = py; + startingPosX = ((_j = block == null ? void 0 : block.size) == null ? void 0 : _j.x) ? ((_k = block == null ? void 0 : block.size) == null ? void 0 : _k.x) + (-((_l = block == null ? void 0 : block.size) == null ? void 0 : _l.width) / 2 || 0) : -padding; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("New row in layout for block", block.id, " and child ", child.id, rowPos); + } + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `abc89 layout blocks (child) id: ${child.id} Pos: ${columnPos} (px, py) ${px},${py} (${(_m = parent == null ? void 0 : parent.size) == null ? void 0 : _m.x},${(_n = parent == null ? void 0 : parent.size) == null ? void 0 : _n.y}) parent: ${parent.id} width: ${width2}${padding}` + ); + if (parent.size) { + const halfWidth = width2 / 2; + child.size.x = startingPosX + padding + halfWidth; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `abc91 layout blocks (calc) px, pyid:${child.id} startingPos=X${startingPosX} new startingPosX${child.size.x} ${halfWidth} padding=${padding} width=${width2} halfWidth=${halfWidth} => x:${child.size.x} y:${child.size.y} ${child.widthInColumns} (width * (child?.w || 1)) / 2 ${width2 * ((child == null ? void 0 : child.widthInColumns) || 1) / 2}` + ); + startingPosX = child.size.x + halfWidth; + child.size.y = parent.size.y - parent.size.height / 2 + py * (height + padding) + height / 2 + padding; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `abc88 layout blocks (calc) px, pyid:${child.id}startingPosX${startingPosX}${padding}${halfWidth}=>x:${child.size.x}y:${child.size.y}${child.widthInColumns}(width * (child?.w || 1)) / 2${width2 * ((child == null ? void 0 : child.widthInColumns) || 1) / 2}` + ); + } + if (child.children) { + layoutBlocks(child); + } + columnPos += (child == null ? void 0 : child.widthInColumns) || 1; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("abc88 columnsPos", child, columnPos); + } + } + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug( + `layout blocks (<==layoutBlocks) ${block.id} x: ${(_o = block == null ? void 0 : block.size) == null ? void 0 : _o.x} y: ${(_p = block == null ? void 0 : block.size) == null ? void 0 : _p.y} width: ${(_q = block == null ? void 0 : block.size) == null ? void 0 : _q.width}` + ); +} +function findBounds(block, { minX, minY, maxX, maxY } = { minX: 0, minY: 0, maxX: 0, maxY: 0 }) { + if (block.size && block.id !== "root") { + const { x, y, width, height } = block.size; + if (x - width / 2 < minX) { + minX = x - width / 2; + } + if (y - height / 2 < minY) { + minY = y - height / 2; + } + if (x + width / 2 > maxX) { + maxX = x + width / 2; + } + if (y + height / 2 > maxY) { + maxY = y + height / 2; + } + } + if (block.children) { + for (const child of block.children) { + ({ minX, minY, maxX, maxY } = findBounds(child, { minX, minY, maxX, maxY })); + } + } + return { minX, minY, maxX, maxY }; +} +function layout(db2) { + const root = db2.getBlock("root"); + if (!root) { + return; + } + setBlockSizes(root, db2, 0, 0); + layoutBlocks(root); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("getBlocks", JSON.stringify(root, null, 2)); + const { minX, minY, maxX, maxY } = findBounds(root); + const height = maxY - minY; + const width = maxX - minX; + return { x: minX, y: minY, width, height }; +} +const getClasses = function(text, diagObj) { + return diagObj.db.getClasses(); +}; +const draw = async function(text, id, _version, diagObj) { + const { securityLevel, block: conf } = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.E)(); + const db2 = diagObj.db; + let sandboxElement; + if (securityLevel === "sandbox") { + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("#i" + id); + } + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("body"); + const svg = securityLevel === "sandbox" ? root.select(`[id="${id}"]`) : (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)(`[id="${id}"]`); + const markers = ["point", "circle", "cross"]; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_9__.a)(svg, markers, diagObj.type, id); + const bl = db2.getBlocks(); + const blArr = db2.getBlocksFlat(); + const edges = db2.getEdges(); + const nodes = svg.insert("g").attr("class", "block"); + await calculateBlockSizes(nodes, bl, db2); + const bounds = layout(db2); + await insertBlocks(nodes, bl, db2); + await insertEdges(nodes, edges, blArr, db2, id); + if (bounds) { + const bounds2 = bounds; + const magicFactor = Math.max(1, Math.round(0.125 * (bounds2.width / bounds2.height))); + const height = bounds2.height + magicFactor + 10; + const width = bounds2.width + 10; + const { useMaxWidth } = conf; + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.i)(svg, height, width, !!useMaxWidth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Here Bounds", bounds, bounds2); + svg.attr( + "viewBox", + `${bounds2.x - 5} ${bounds2.y - 5} ${bounds2.width + 10} ${bounds2.height + 10}` + ); + } + (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .scaleOrdinal */ .knW)(d3__WEBPACK_IMPORTED_MODULE_1__/* .schemeTableau10 */ .ovr); +}; +const renderer = { + draw, + getClasses +}; +const diagram = { + parser: parser$1, + db: db$1, + renderer, + styles: flowStyles +}; + + + +/***/ }), + +/***/ 73748: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + a: () => (/* binding */ createText), + c: () => (/* binding */ computeDimensionOfText) +}); + +// NAMESPACE OBJECT: ./node_modules/mermaid/node_modules/micromark/lib/constructs.js +var constructs_namespaceObject = {}; +__webpack_require__.r(constructs_namespaceObject); +__webpack_require__.d(constructs_namespaceObject, { + attentionMarkers: () => (attentionMarkers), + contentInitial: () => (contentInitial), + disable: () => (disable), + document: () => (constructs_document), + flow: () => (constructs_flow), + flowInitial: () => (flowInitial), + insideSpan: () => (insideSpan), + string: () => (constructs_string), + text: () => (constructs_text) +}); + +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js +/** + * @typedef {import('mdast').Root|import('mdast').Content} Node + * + * @typedef Options + * Configuration (optional). + * @property {boolean | null | undefined} [includeImageAlt=true] + * Whether to use `alt` for `image`s. + * @property {boolean | null | undefined} [includeHtml=true] + * Whether to use `value` of HTML. + */ + +/** @type {Options} */ +const emptyOptions = {} + +/** + * Get the text content of a node or list of nodes. + * + * Prefers the node’s plain-text fields, otherwise serializes its children, + * and if the given value is an array, serialize the nodes in it. + * + * @param {unknown} value + * Thing to serialize, typically `Node`. + * @param {Options | null | undefined} [options] + * Configuration (optional). + * @returns {string} + * Serialized `value`. + */ +function lib_toString(value, options) { + const settings = options || emptyOptions + const includeImageAlt = + typeof settings.includeImageAlt === 'boolean' + ? settings.includeImageAlt + : true + const includeHtml = + typeof settings.includeHtml === 'boolean' ? settings.includeHtml : true + + return one(value, includeImageAlt, includeHtml) +} + +/** + * One node or several nodes. + * + * @param {unknown} value + * Thing to serialize. + * @param {boolean} includeImageAlt + * Include image `alt`s. + * @param {boolean} includeHtml + * Include HTML. + * @returns {string} + * Serialized node. + */ +function one(value, includeImageAlt, includeHtml) { + if (node(value)) { + if ('value' in value) { + return value.type === 'html' && !includeHtml ? '' : value.value + } + + if (includeImageAlt && 'alt' in value && value.alt) { + return value.alt + } + + if ('children' in value) { + return lib_all(value.children, includeImageAlt, includeHtml) + } + } + + if (Array.isArray(value)) { + return lib_all(value, includeImageAlt, includeHtml) + } + + return '' +} + +/** + * Serialize a list of nodes. + * + * @param {Array<unknown>} values + * Thing to serialize. + * @param {boolean} includeImageAlt + * Include image `alt`s. + * @param {boolean} includeHtml + * Include HTML. + * @returns {string} + * Serialized nodes. + */ +function lib_all(values, includeImageAlt, includeHtml) { + /** @type {Array<string>} */ + const result = [] + let index = -1 + + while (++index < values.length) { + result[index] = one(values[index], includeImageAlt, includeHtml) + } + + return result.join('') +} + +/** + * Check if `value` looks like a node. + * + * @param {unknown} value + * Thing. + * @returns {value is Node} + * Whether `value` is a node. + */ +function node(value) { + return Boolean(value && typeof value === 'object') +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-chunked/index.js +/** + * Like `Array#splice`, but smarter for giant arrays. + * + * `Array#splice` takes all items to be inserted as individual argument which + * causes a stack overflow in V8 when trying to insert 100k items for instance. + * + * Otherwise, this does not return the removed items, and takes `items` as an + * array instead of rest parameters. + * + * @template {unknown} T + * Item type. + * @param {Array<T>} list + * List to operate on. + * @param {number} start + * Index to remove/insert at (can be negative). + * @param {number} remove + * Number of items to remove. + * @param {Array<T>} items + * Items to inject into `list`. + * @returns {void} + * Nothing. + */ +function splice(list, start, remove, items) { + const end = list.length + let chunkStart = 0 + /** @type {Array<unknown>} */ + let parameters + + // Make start between zero and `end` (included). + if (start < 0) { + start = -start > end ? 0 : end + start + } else { + start = start > end ? end : start + } + remove = remove > 0 ? remove : 0 + + // No need to chunk the items if there’s only a couple (10k) items. + if (items.length < 10000) { + parameters = Array.from(items) + parameters.unshift(start, remove) + // @ts-expect-error Hush, it’s fine. + list.splice(...parameters) + } else { + // Delete `remove` items starting from `start` + if (remove) list.splice(start, remove) + + // Insert the items in chunks to not cause stack overflows. + while (chunkStart < items.length) { + parameters = items.slice(chunkStart, chunkStart + 10000) + parameters.unshift(start, 0) + // @ts-expect-error Hush, it’s fine. + list.splice(...parameters) + chunkStart += 10000 + start += 10000 + } + } +} + +/** + * Append `items` (an array) at the end of `list` (another array). + * When `list` was empty, returns `items` instead. + * + * This prevents a potentially expensive operation when `list` is empty, + * and adds items in batches to prevent V8 from hanging. + * + * @template {unknown} T + * Item type. + * @param {Array<T>} list + * List to operate on. + * @param {Array<T>} items + * Items to add to `list`. + * @returns {Array<T>} + * Either `list` or `items`. + */ +function push(list, items) { + if (list.length > 0) { + splice(list, list.length, 0, items) + return list + } + return items +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-combine-extensions/index.js +/** + * @typedef {import('micromark-util-types').Extension} Extension + * @typedef {import('micromark-util-types').Handles} Handles + * @typedef {import('micromark-util-types').HtmlExtension} HtmlExtension + * @typedef {import('micromark-util-types').NormalizedExtension} NormalizedExtension + */ + + + +const micromark_util_combine_extensions_hasOwnProperty = {}.hasOwnProperty + +/** + * Combine multiple syntax extensions into one. + * + * @param {Array<Extension>} extensions + * List of syntax extensions. + * @returns {NormalizedExtension} + * A single combined extension. + */ +function combineExtensions(extensions) { + /** @type {NormalizedExtension} */ + const all = {} + let index = -1 + + while (++index < extensions.length) { + syntaxExtension(all, extensions[index]) + } + + return all +} + +/** + * Merge `extension` into `all`. + * + * @param {NormalizedExtension} all + * Extension to merge into. + * @param {Extension} extension + * Extension to merge. + * @returns {void} + */ +function syntaxExtension(all, extension) { + /** @type {keyof Extension} */ + let hook + + for (hook in extension) { + const maybe = micromark_util_combine_extensions_hasOwnProperty.call(all, hook) ? all[hook] : undefined + /** @type {Record<string, unknown>} */ + const left = maybe || (all[hook] = {}) + /** @type {Record<string, unknown> | undefined} */ + const right = extension[hook] + /** @type {string} */ + let code + + if (right) { + for (code in right) { + if (!micromark_util_combine_extensions_hasOwnProperty.call(left, code)) left[code] = [] + const value = right[code] + constructs( + // @ts-expect-error Looks like a list. + left[code], + Array.isArray(value) ? value : value ? [value] : [] + ) + } + } + } +} + +/** + * Merge `list` into `existing` (both lists of constructs). + * Mutates `existing`. + * + * @param {Array<unknown>} existing + * @param {Array<unknown>} list + * @returns {void} + */ +function constructs(existing, list) { + let index = -1 + /** @type {Array<unknown>} */ + const before = [] + + while (++index < list.length) { + // @ts-expect-error Looks like an object. + ;(list[index].add === 'after' ? existing : before).push(list[index]) + } + + splice(existing, 0, 0, before) +} + +/** + * Combine multiple HTML extensions into one. + * + * @param {Array<HtmlExtension>} htmlExtensions + * List of HTML extensions. + * @returns {HtmlExtension} + * A single combined HTML extension. + */ +function combineHtmlExtensions(htmlExtensions) { + /** @type {HtmlExtension} */ + const handlers = {} + let index = -1 + + while (++index < htmlExtensions.length) { + htmlExtension(handlers, htmlExtensions[index]) + } + + return handlers +} + +/** + * Merge `extension` into `all`. + * + * @param {HtmlExtension} all + * Extension to merge into. + * @param {HtmlExtension} extension + * Extension to merge. + * @returns {void} + */ +function htmlExtension(all, extension) { + /** @type {keyof HtmlExtension} */ + let hook + + for (hook in extension) { + const maybe = micromark_util_combine_extensions_hasOwnProperty.call(all, hook) ? all[hook] : undefined + const left = maybe || (all[hook] = {}) + const right = extension[hook] + /** @type {keyof Handles} */ + let type + + if (right) { + for (type in right) { + // @ts-expect-error assume document vs regular handler are managed correctly. + left[type] = right[type] + } + } + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-character/lib/unicode-punctuation-regex.js +// This module is generated by `script/`. +// +// CommonMark handles attention (emphasis, strong) markers based on what comes +// before or after them. +// One such difference is if those characters are Unicode punctuation. +// This script is generated from the Unicode data. + +/** + * Regular expression that matches a unicode punctuation character. + */ +const unicodePunctuationRegex = + /[!-\/:-@\[-`\{-~\xA1\xA7\xAB\xB6\xB7\xBB\xBF\u037E\u0387\u055A-\u055F\u0589\u058A\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0609\u060A\u060C\u060D\u061B\u061D-\u061F\u066A-\u066D\u06D4\u0700-\u070D\u07F7-\u07F9\u0830-\u083E\u085E\u0964\u0965\u0970\u09FD\u0A76\u0AF0\u0C77\u0C84\u0DF4\u0E4F\u0E5A\u0E5B\u0F04-\u0F12\u0F14\u0F3A-\u0F3D\u0F85\u0FD0-\u0FD4\u0FD9\u0FDA\u104A-\u104F\u10FB\u1360-\u1368\u1400\u166E\u169B\u169C\u16EB-\u16ED\u1735\u1736\u17D4-\u17D6\u17D8-\u17DA\u1800-\u180A\u1944\u1945\u1A1E\u1A1F\u1AA0-\u1AA6\u1AA8-\u1AAD\u1B5A-\u1B60\u1B7D\u1B7E\u1BFC-\u1BFF\u1C3B-\u1C3F\u1C7E\u1C7F\u1CC0-\u1CC7\u1CD3\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2053-\u205E\u207D\u207E\u208D\u208E\u2308-\u230B\u2329\u232A\u2768-\u2775\u27C5\u27C6\u27E6-\u27EF\u2983-\u2998\u29D8-\u29DB\u29FC\u29FD\u2CF9-\u2CFC\u2CFE\u2CFF\u2D70\u2E00-\u2E2E\u2E30-\u2E4F\u2E52-\u2E5D\u3001-\u3003\u3008-\u3011\u3014-\u301F\u3030\u303D\u30A0\u30FB\uA4FE\uA4FF\uA60D-\uA60F\uA673\uA67E\uA6F2-\uA6F7\uA874-\uA877\uA8CE\uA8CF\uA8F8-\uA8FA\uA8FC\uA92E\uA92F\uA95F\uA9C1-\uA9CD\uA9DE\uA9DF\uAA5C-\uAA5F\uAADE\uAADF\uAAF0\uAAF1\uABEB\uFD3E\uFD3F\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE61\uFE63\uFE68\uFE6A\uFE6B\uFF01-\uFF03\uFF05-\uFF0A\uFF0C-\uFF0F\uFF1A\uFF1B\uFF1F\uFF20\uFF3B-\uFF3D\uFF3F\uFF5B\uFF5D\uFF5F-\uFF65]/ + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-character/index.js +/** + * @typedef {import('micromark-util-types').Code} Code + */ + + + +/** + * Check whether the character code represents an ASCII alpha (`a` through `z`, + * case insensitive). + * + * An **ASCII alpha** is an ASCII upper alpha or ASCII lower alpha. + * + * An **ASCII upper alpha** is a character in the inclusive range U+0041 (`A`) + * to U+005A (`Z`). + * + * An **ASCII lower alpha** is a character in the inclusive range U+0061 (`a`) + * to U+007A (`z`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiAlpha = regexCheck(/[A-Za-z]/) + +/** + * Check whether the character code represents an ASCII alphanumeric (`a` + * through `z`, case insensitive, or `0` through `9`). + * + * An **ASCII alphanumeric** is an ASCII digit (see `asciiDigit`) or ASCII alpha + * (see `asciiAlpha`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiAlphanumeric = regexCheck(/[\dA-Za-z]/) + +/** + * Check whether the character code represents an ASCII atext. + * + * atext is an ASCII alphanumeric (see `asciiAlphanumeric`), or a character in + * the inclusive ranges U+0023 NUMBER SIGN (`#`) to U+0027 APOSTROPHE (`'`), + * U+002A ASTERISK (`*`), U+002B PLUS SIGN (`+`), U+002D DASH (`-`), U+002F + * SLASH (`/`), U+003D EQUALS TO (`=`), U+003F QUESTION MARK (`?`), U+005E + * CARET (`^`) to U+0060 GRAVE ACCENT (`` ` ``), or U+007B LEFT CURLY BRACE + * (`{`) to U+007E TILDE (`~`). + * + * See: + * **\[RFC5322]**: + * [Internet Message Format](https://tools.ietf.org/html/rfc5322). + * P. Resnick. + * IETF. + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiAtext = regexCheck(/[#-'*+\--9=?A-Z^-~]/) + +/** + * Check whether a character code is an ASCII control character. + * + * An **ASCII control** is a character in the inclusive range U+0000 NULL (NUL) + * to U+001F (US), or U+007F (DEL). + * + * @param {Code} code + * Code. + * @returns {boolean} + * Whether it matches. + */ +function asciiControl(code) { + return ( + // Special whitespace codes (which have negative values), C0 and Control + // character DEL + code !== null && (code < 32 || code === 127) + ) +} + +/** + * Check whether the character code represents an ASCII digit (`0` through `9`). + * + * An **ASCII digit** is a character in the inclusive range U+0030 (`0`) to + * U+0039 (`9`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiDigit = regexCheck(/\d/) + +/** + * Check whether the character code represents an ASCII hex digit (`a` through + * `f`, case insensitive, or `0` through `9`). + * + * An **ASCII hex digit** is an ASCII digit (see `asciiDigit`), ASCII upper hex + * digit, or an ASCII lower hex digit. + * + * An **ASCII upper hex digit** is a character in the inclusive range U+0041 + * (`A`) to U+0046 (`F`). + * + * An **ASCII lower hex digit** is a character in the inclusive range U+0061 + * (`a`) to U+0066 (`f`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiHexDigit = regexCheck(/[\dA-Fa-f]/) + +/** + * Check whether the character code represents ASCII punctuation. + * + * An **ASCII punctuation** is a character in the inclusive ranges U+0021 + * EXCLAMATION MARK (`!`) to U+002F SLASH (`/`), U+003A COLON (`:`) to U+0040 AT + * SIGN (`@`), U+005B LEFT SQUARE BRACKET (`[`) to U+0060 GRAVE ACCENT + * (`` ` ``), or U+007B LEFT CURLY BRACE (`{`) to U+007E TILDE (`~`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiPunctuation = regexCheck(/[!-/:-@[-`{-~]/) + +/** + * Check whether a character code is a markdown line ending. + * + * A **markdown line ending** is the virtual characters M-0003 CARRIAGE RETURN + * LINE FEED (CRLF), M-0004 LINE FEED (LF) and M-0005 CARRIAGE RETURN (CR). + * + * In micromark, the actual character U+000A LINE FEED (LF) and U+000D CARRIAGE + * RETURN (CR) are replaced by these virtual characters depending on whether + * they occurred together. + * + * @param {Code} code + * Code. + * @returns {boolean} + * Whether it matches. + */ +function markdownLineEnding(code) { + return code !== null && code < -2 +} + +/** + * Check whether a character code is a markdown line ending (see + * `markdownLineEnding`) or markdown space (see `markdownSpace`). + * + * @param {Code} code + * Code. + * @returns {boolean} + * Whether it matches. + */ +function markdownLineEndingOrSpace(code) { + return code !== null && (code < 0 || code === 32) +} + +/** + * Check whether a character code is a markdown space. + * + * A **markdown space** is the concrete character U+0020 SPACE (SP) and the + * virtual characters M-0001 VIRTUAL SPACE (VS) and M-0002 HORIZONTAL TAB (HT). + * + * In micromark, the actual character U+0009 CHARACTER TABULATION (HT) is + * replaced by one M-0002 HORIZONTAL TAB (HT) and between 0 and 3 M-0001 VIRTUAL + * SPACE (VS) characters, depending on the column at which the tab occurred. + * + * @param {Code} code + * Code. + * @returns {boolean} + * Whether it matches. + */ +function markdownSpace(code) { + return code === -2 || code === -1 || code === 32 +} + +// Size note: removing ASCII from the regex and using `asciiPunctuation` here +// In fact adds to the bundle size. +/** + * Check whether the character code represents Unicode punctuation. + * + * A **Unicode punctuation** is a character in the Unicode `Pc` (Punctuation, + * Connector), `Pd` (Punctuation, Dash), `Pe` (Punctuation, Close), `Pf` + * (Punctuation, Final quote), `Pi` (Punctuation, Initial quote), `Po` + * (Punctuation, Other), or `Ps` (Punctuation, Open) categories, or an ASCII + * punctuation (see `asciiPunctuation`). + * + * See: + * **\[UNICODE]**: + * [The Unicode Standard](https://www.unicode.org/versions/). + * Unicode Consortium. + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const unicodePunctuation = regexCheck(unicodePunctuationRegex) + +/** + * Check whether the character code represents Unicode whitespace. + * + * Note that this does handle micromark specific markdown whitespace characters. + * See `markdownLineEndingOrSpace` to check that. + * + * A **Unicode whitespace** is a character in the Unicode `Zs` (Separator, + * Space) category, or U+0009 CHARACTER TABULATION (HT), U+000A LINE FEED (LF), + * U+000C (FF), or U+000D CARRIAGE RETURN (CR) (**\[UNICODE]**). + * + * See: + * **\[UNICODE]**: + * [The Unicode Standard](https://www.unicode.org/versions/). + * Unicode Consortium. + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const unicodeWhitespace = regexCheck(/\s/) + +/** + * Create a code check from a regex. + * + * @param {RegExp} regex + * @returns {(code: Code) => boolean} + */ +function regexCheck(regex) { + return check + + /** + * Check whether a code matches the bound regex. + * + * @param {Code} code + * Character code. + * @returns {boolean} + * Whether the character code matches the bound regex. + */ + function check(code) { + return code !== null && regex.test(String.fromCharCode(code)) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-space/index.js +/** + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenType} TokenType + */ + + + +// To do: implement `spaceOrTab`, `spaceOrTabMinMax`, `spaceOrTabWithOptions`. + +/** + * Parse spaces and tabs. + * + * There is no `nok` parameter: + * + * * spaces in markdown are often optional, in which case this factory can be + * used and `ok` will be switched to whether spaces were found or not + * * one line ending or space can be detected with `markdownSpace(code)` right + * before using `factorySpace` + * + * ###### Examples + * + * Where `␉` represents a tab (plus how much it expands) and `␠` represents a + * single space. + * + * ```markdown + * ␉ + * ␠␠␠␠ + * ␉␠ + * ``` + * + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @param {TokenType} type + * Type (`' \t'`). + * @param {number | undefined} [max=Infinity] + * Max (exclusive). + * @returns + * Start state. + */ +function factorySpace(effects, ok, type, max) { + const limit = max ? max - 1 : Number.POSITIVE_INFINITY + let size = 0 + return start + + /** @type {State} */ + function start(code) { + if (markdownSpace(code)) { + effects.enter(type) + return prefix(code) + } + return ok(code) + } + + /** @type {State} */ + function prefix(code) { + if (markdownSpace(code) && size++ < limit) { + effects.consume(code) + return prefix + } + effects.exit(type) + return ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/content.js +/** + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').Initializer} Initializer + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + + + +/** @type {InitialConstruct} */ +const content = { + tokenize: initializeContent +} + +/** + * @this {TokenizeContext} + * @type {Initializer} + */ +function initializeContent(effects) { + const contentStart = effects.attempt( + this.parser.constructs.contentInitial, + afterContentStartConstruct, + paragraphInitial + ) + /** @type {Token} */ + let previous + return contentStart + + /** @type {State} */ + function afterContentStartConstruct(code) { + if (code === null) { + effects.consume(code) + return + } + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return factorySpace(effects, contentStart, 'linePrefix') + } + + /** @type {State} */ + function paragraphInitial(code) { + effects.enter('paragraph') + return lineStart(code) + } + + /** @type {State} */ + function lineStart(code) { + const token = effects.enter('chunkText', { + contentType: 'text', + previous + }) + if (previous) { + previous.next = token + } + previous = token + return data(code) + } + + /** @type {State} */ + function data(code) { + if (code === null) { + effects.exit('chunkText') + effects.exit('paragraph') + effects.consume(code) + return + } + if (markdownLineEnding(code)) { + effects.consume(code) + effects.exit('chunkText') + return lineStart + } + + // Data. + effects.consume(code) + return data + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/document.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').ContainerState} ContainerState + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').Initializer} Initializer + * @typedef {import('micromark-util-types').Point} Point + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + +/** + * @typedef {[Construct, ContainerState]} StackItem + */ + + + + +/** @type {InitialConstruct} */ +const document_document = { + tokenize: initializeDocument +} + +/** @type {Construct} */ +const containerConstruct = { + tokenize: tokenizeContainer +} + +/** + * @this {TokenizeContext} + * @type {Initializer} + */ +function initializeDocument(effects) { + const self = this + /** @type {Array<StackItem>} */ + const stack = [] + let continued = 0 + /** @type {TokenizeContext | undefined} */ + let childFlow + /** @type {Token | undefined} */ + let childToken + /** @type {number} */ + let lineStartOffset + return start + + /** @type {State} */ + function start(code) { + // First we iterate through the open blocks, starting with the root + // document, and descending through last children down to the last open + // block. + // Each block imposes a condition that the line must satisfy if the block is + // to remain open. + // For example, a block quote requires a `>` character. + // A paragraph requires a non-blank line. + // In this phase we may match all or just some of the open blocks. + // But we cannot close unmatched blocks yet, because we may have a lazy + // continuation line. + if (continued < stack.length) { + const item = stack[continued] + self.containerState = item[1] + return effects.attempt( + item[0].continuation, + documentContinue, + checkNewContainers + )(code) + } + + // Done. + return checkNewContainers(code) + } + + /** @type {State} */ + function documentContinue(code) { + continued++ + + // Note: this field is called `_closeFlow` but it also closes containers. + // Perhaps a good idea to rename it but it’s already used in the wild by + // extensions. + if (self.containerState._closeFlow) { + self.containerState._closeFlow = undefined + if (childFlow) { + closeFlow() + } + + // Note: this algorithm for moving events around is similar to the + // algorithm when dealing with lazy lines in `writeToChild`. + const indexBeforeExits = self.events.length + let indexBeforeFlow = indexBeforeExits + /** @type {Point | undefined} */ + let point + + // Find the flow chunk. + while (indexBeforeFlow--) { + if ( + self.events[indexBeforeFlow][0] === 'exit' && + self.events[indexBeforeFlow][1].type === 'chunkFlow' + ) { + point = self.events[indexBeforeFlow][1].end + break + } + } + exitContainers(continued) + + // Fix positions. + let index = indexBeforeExits + while (index < self.events.length) { + self.events[index][1].end = Object.assign({}, point) + index++ + } + + // Inject the exits earlier (they’re still also at the end). + splice( + self.events, + indexBeforeFlow + 1, + 0, + self.events.slice(indexBeforeExits) + ) + + // Discard the duplicate exits. + self.events.length = index + return checkNewContainers(code) + } + return start(code) + } + + /** @type {State} */ + function checkNewContainers(code) { + // Next, after consuming the continuation markers for existing blocks, we + // look for new block starts (e.g. `>` for a block quote). + // If we encounter a new block start, we close any blocks unmatched in + // step 1 before creating the new block as a child of the last matched + // block. + if (continued === stack.length) { + // No need to `check` whether there’s a container, of `exitContainers` + // would be moot. + // We can instead immediately `attempt` to parse one. + if (!childFlow) { + return documentContinued(code) + } + + // If we have concrete content, such as block HTML or fenced code, + // we can’t have containers “pierce” into them, so we can immediately + // start. + if (childFlow.currentConstruct && childFlow.currentConstruct.concrete) { + return flowStart(code) + } + + // If we do have flow, it could still be a blank line, + // but we’d be interrupting it w/ a new container if there’s a current + // construct. + // To do: next major: remove `_gfmTableDynamicInterruptHack` (no longer + // needed in micromark-extension-gfm-table@1.0.6). + self.interrupt = Boolean( + childFlow.currentConstruct && !childFlow._gfmTableDynamicInterruptHack + ) + } + + // Check if there is a new container. + self.containerState = {} + return effects.check( + containerConstruct, + thereIsANewContainer, + thereIsNoNewContainer + )(code) + } + + /** @type {State} */ + function thereIsANewContainer(code) { + if (childFlow) closeFlow() + exitContainers(continued) + return documentContinued(code) + } + + /** @type {State} */ + function thereIsNoNewContainer(code) { + self.parser.lazy[self.now().line] = continued !== stack.length + lineStartOffset = self.now().offset + return flowStart(code) + } + + /** @type {State} */ + function documentContinued(code) { + // Try new containers. + self.containerState = {} + return effects.attempt( + containerConstruct, + containerContinue, + flowStart + )(code) + } + + /** @type {State} */ + function containerContinue(code) { + continued++ + stack.push([self.currentConstruct, self.containerState]) + // Try another. + return documentContinued(code) + } + + /** @type {State} */ + function flowStart(code) { + if (code === null) { + if (childFlow) closeFlow() + exitContainers(0) + effects.consume(code) + return + } + childFlow = childFlow || self.parser.flow(self.now()) + effects.enter('chunkFlow', { + contentType: 'flow', + previous: childToken, + _tokenizer: childFlow + }) + return flowContinue(code) + } + + /** @type {State} */ + function flowContinue(code) { + if (code === null) { + writeToChild(effects.exit('chunkFlow'), true) + exitContainers(0) + effects.consume(code) + return + } + if (markdownLineEnding(code)) { + effects.consume(code) + writeToChild(effects.exit('chunkFlow')) + // Get ready for the next line. + continued = 0 + self.interrupt = undefined + return start + } + effects.consume(code) + return flowContinue + } + + /** + * @param {Token} token + * @param {boolean | undefined} [eof] + * @returns {void} + */ + function writeToChild(token, eof) { + const stream = self.sliceStream(token) + if (eof) stream.push(null) + token.previous = childToken + if (childToken) childToken.next = token + childToken = token + childFlow.defineSkip(token.start) + childFlow.write(stream) + + // Alright, so we just added a lazy line: + // + // ```markdown + // > a + // b. + // + // Or: + // + // > ~~~c + // d + // + // Or: + // + // > | e | + // f + // ``` + // + // The construct in the second example (fenced code) does not accept lazy + // lines, so it marked itself as done at the end of its first line, and + // then the content construct parses `d`. + // Most constructs in markdown match on the first line: if the first line + // forms a construct, a non-lazy line can’t “unmake” it. + // + // The construct in the third example is potentially a GFM table, and + // those are *weird*. + // It *could* be a table, from the first line, if the following line + // matches a condition. + // In this case, that second line is lazy, which “unmakes” the first line + // and turns the whole into one content block. + // + // We’ve now parsed the non-lazy and the lazy line, and can figure out + // whether the lazy line started a new flow block. + // If it did, we exit the current containers between the two flow blocks. + if (self.parser.lazy[token.start.line]) { + let index = childFlow.events.length + while (index--) { + if ( + // The token starts before the line ending… + childFlow.events[index][1].start.offset < lineStartOffset && + // …and either is not ended yet… + (!childFlow.events[index][1].end || + // …or ends after it. + childFlow.events[index][1].end.offset > lineStartOffset) + ) { + // Exit: there’s still something open, which means it’s a lazy line + // part of something. + return + } + } + + // Note: this algorithm for moving events around is similar to the + // algorithm when closing flow in `documentContinue`. + const indexBeforeExits = self.events.length + let indexBeforeFlow = indexBeforeExits + /** @type {boolean | undefined} */ + let seen + /** @type {Point | undefined} */ + let point + + // Find the previous chunk (the one before the lazy line). + while (indexBeforeFlow--) { + if ( + self.events[indexBeforeFlow][0] === 'exit' && + self.events[indexBeforeFlow][1].type === 'chunkFlow' + ) { + if (seen) { + point = self.events[indexBeforeFlow][1].end + break + } + seen = true + } + } + exitContainers(continued) + + // Fix positions. + index = indexBeforeExits + while (index < self.events.length) { + self.events[index][1].end = Object.assign({}, point) + index++ + } + + // Inject the exits earlier (they’re still also at the end). + splice( + self.events, + indexBeforeFlow + 1, + 0, + self.events.slice(indexBeforeExits) + ) + + // Discard the duplicate exits. + self.events.length = index + } + } + + /** + * @param {number} size + * @returns {void} + */ + function exitContainers(size) { + let index = stack.length + + // Exit open containers. + while (index-- > size) { + const entry = stack[index] + self.containerState = entry[1] + entry[0].exit.call(self, effects) + } + stack.length = size + } + function closeFlow() { + childFlow.write([null]) + childToken = undefined + childFlow = undefined + self.containerState._closeFlow = undefined + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeContainer(effects, ok, nok) { + // Always populated by defaults. + + return factorySpace( + effects, + effects.attempt(this.parser.constructs.document, ok, nok), + 'linePrefix', + this.parser.constructs.disable.null.includes('codeIndented') ? undefined : 4 + ) +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/blank-line.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const blankLine = { + tokenize: tokenizeBlankLine, + partial: true +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeBlankLine(effects, ok, nok) { + return start + + /** + * Start of blank line. + * + * > 👉 **Note**: `␠` represents a space character. + * + * ```markdown + * > | ␠␠␊ + * ^ + * > | ␊ + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + return markdownSpace(code) + ? factorySpace(effects, after, 'linePrefix')(code) + : after(code) + } + + /** + * At eof/eol, after optional whitespace. + * + * > 👉 **Note**: `␠` represents a space character. + * + * ```markdown + * > | ␠␠␊ + * ^ + * > | ␊ + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + return code === null || markdownLineEnding(code) ? ok(code) : nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/micromark-util-subtokenize/node_modules/micromark-util-chunked/index.js +/** + * Like `Array#splice`, but smarter for giant arrays. + * + * `Array#splice` takes all items to be inserted as individual argument which + * causes a stack overflow in V8 when trying to insert 100k items for instance. + * + * Otherwise, this does not return the removed items, and takes `items` as an + * array instead of rest parameters. + * + * @template {unknown} T + * Item type. + * @param {Array<T>} list + * List to operate on. + * @param {number} start + * Index to remove/insert at (can be negative). + * @param {number} remove + * Number of items to remove. + * @param {Array<T>} items + * Items to inject into `list`. + * @returns {void} + * Nothing. + */ +function micromark_util_chunked_splice(list, start, remove, items) { + const end = list.length + let chunkStart = 0 + /** @type {Array<unknown>} */ + let parameters + + // Make start between zero and `end` (included). + if (start < 0) { + start = -start > end ? 0 : end + start + } else { + start = start > end ? end : start + } + remove = remove > 0 ? remove : 0 + + // No need to chunk the items if there’s only a couple (10k) items. + if (items.length < 10000) { + parameters = Array.from(items) + parameters.unshift(start, remove) + // @ts-expect-error Hush, it’s fine. + list.splice(...parameters) + } else { + // Delete `remove` items starting from `start` + if (remove) list.splice(start, remove) + + // Insert the items in chunks to not cause stack overflows. + while (chunkStart < items.length) { + parameters = items.slice(chunkStart, chunkStart + 10000) + parameters.unshift(start, 0) + // @ts-expect-error Hush, it’s fine. + list.splice(...parameters) + chunkStart += 10000 + start += 10000 + } + } +} + +/** + * Append `items` (an array) at the end of `list` (another array). + * When `list` was empty, returns `items` instead. + * + * This prevents a potentially expensive operation when `list` is empty, + * and adds items in batches to prevent V8 from hanging. + * + * @template {unknown} T + * Item type. + * @param {Array<T>} list + * List to operate on. + * @param {Array<T>} items + * Items to add to `list`. + * @returns {Array<T>} + * Either `list` or `items`. + */ +function micromark_util_chunked_push(list, items) { + if (list.length > 0) { + micromark_util_chunked_splice(list, list.length, 0, items) + return list + } + return items +} + +;// CONCATENATED MODULE: ./node_modules/micromark-util-subtokenize/index.js +/** + * @typedef {import('micromark-util-types').Chunk} Chunk + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').Token} Token + */ + + +/** + * Tokenize subcontent. + * + * @param {Array<Event>} events + * List of events. + * @returns {boolean} + * Whether subtokens were found. + */ +function subtokenize(events) { + /** @type {Record<string, number>} */ + const jumps = {} + let index = -1 + /** @type {Event} */ + let event + /** @type {number | undefined} */ + let lineIndex + /** @type {number} */ + let otherIndex + /** @type {Event} */ + let otherEvent + /** @type {Array<Event>} */ + let parameters + /** @type {Array<Event>} */ + let subevents + /** @type {boolean | undefined} */ + let more + while (++index < events.length) { + while (index in jumps) { + index = jumps[index] + } + event = events[index] + + // Add a hook for the GFM tasklist extension, which needs to know if text + // is in the first content of a list item. + if ( + index && + event[1].type === 'chunkFlow' && + events[index - 1][1].type === 'listItemPrefix' + ) { + subevents = event[1]._tokenizer.events + otherIndex = 0 + if ( + otherIndex < subevents.length && + subevents[otherIndex][1].type === 'lineEndingBlank' + ) { + otherIndex += 2 + } + if ( + otherIndex < subevents.length && + subevents[otherIndex][1].type === 'content' + ) { + while (++otherIndex < subevents.length) { + if (subevents[otherIndex][1].type === 'content') { + break + } + if (subevents[otherIndex][1].type === 'chunkText') { + subevents[otherIndex][1]._isInFirstContentOfListItem = true + otherIndex++ + } + } + } + } + + // Enter. + if (event[0] === 'enter') { + if (event[1].contentType) { + Object.assign(jumps, subcontent(events, index)) + index = jumps[index] + more = true + } + } + // Exit. + else if (event[1]._container) { + otherIndex = index + lineIndex = undefined + while (otherIndex--) { + otherEvent = events[otherIndex] + if ( + otherEvent[1].type === 'lineEnding' || + otherEvent[1].type === 'lineEndingBlank' + ) { + if (otherEvent[0] === 'enter') { + if (lineIndex) { + events[lineIndex][1].type = 'lineEndingBlank' + } + otherEvent[1].type = 'lineEnding' + lineIndex = otherIndex + } + } else { + break + } + } + if (lineIndex) { + // Fix position. + event[1].end = Object.assign({}, events[lineIndex][1].start) + + // Switch container exit w/ line endings. + parameters = events.slice(lineIndex, index) + parameters.unshift(event) + micromark_util_chunked_splice(events, lineIndex, index - lineIndex + 1, parameters) + } + } + } + return !more +} + +/** + * Tokenize embedded tokens. + * + * @param {Array<Event>} events + * @param {number} eventIndex + * @returns {Record<string, number>} + */ +function subcontent(events, eventIndex) { + const token = events[eventIndex][1] + const context = events[eventIndex][2] + let startPosition = eventIndex - 1 + /** @type {Array<number>} */ + const startPositions = [] + const tokenizer = + token._tokenizer || context.parser[token.contentType](token.start) + const childEvents = tokenizer.events + /** @type {Array<[number, number]>} */ + const jumps = [] + /** @type {Record<string, number>} */ + const gaps = {} + /** @type {Array<Chunk>} */ + let stream + /** @type {Token | undefined} */ + let previous + let index = -1 + /** @type {Token | undefined} */ + let current = token + let adjust = 0 + let start = 0 + const breaks = [start] + + // Loop forward through the linked tokens to pass them in order to the + // subtokenizer. + while (current) { + // Find the position of the event for this token. + while (events[++startPosition][1] !== current) { + // Empty. + } + startPositions.push(startPosition) + if (!current._tokenizer) { + stream = context.sliceStream(current) + if (!current.next) { + stream.push(null) + } + if (previous) { + tokenizer.defineSkip(current.start) + } + if (current._isInFirstContentOfListItem) { + tokenizer._gfmTasklistFirstContentOfListItem = true + } + tokenizer.write(stream) + if (current._isInFirstContentOfListItem) { + tokenizer._gfmTasklistFirstContentOfListItem = undefined + } + } + + // Unravel the next token. + previous = current + current = current.next + } + + // Now, loop back through all events (and linked tokens), to figure out which + // parts belong where. + current = token + while (++index < childEvents.length) { + if ( + // Find a void token that includes a break. + childEvents[index][0] === 'exit' && + childEvents[index - 1][0] === 'enter' && + childEvents[index][1].type === childEvents[index - 1][1].type && + childEvents[index][1].start.line !== childEvents[index][1].end.line + ) { + start = index + 1 + breaks.push(start) + // Help GC. + current._tokenizer = undefined + current.previous = undefined + current = current.next + } + } + + // Help GC. + tokenizer.events = [] + + // If there’s one more token (which is the cases for lines that end in an + // EOF), that’s perfect: the last point we found starts it. + // If there isn’t then make sure any remaining content is added to it. + if (current) { + // Help GC. + current._tokenizer = undefined + current.previous = undefined + } else { + breaks.pop() + } + + // Now splice the events from the subtokenizer into the current events, + // moving back to front so that splice indices aren’t affected. + index = breaks.length + while (index--) { + const slice = childEvents.slice(breaks[index], breaks[index + 1]) + const start = startPositions.pop() + jumps.unshift([start, start + slice.length - 1]) + micromark_util_chunked_splice(events, start, 2, slice) + } + index = -1 + while (++index < jumps.length) { + gaps[adjust + jumps[index][0]] = adjust + jumps[index][1] + adjust += jumps[index][1] - jumps[index][0] - 1 + } + return gaps +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/content.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + +/** + * No name because it must not be turned off. + * @type {Construct} + */ +const content_content = { + tokenize: tokenizeContent, + resolve: resolveContent +} + +/** @type {Construct} */ +const continuationConstruct = { + tokenize: tokenizeContinuation, + partial: true +} + +/** + * Content is transparent: it’s parsed right now. That way, definitions are also + * parsed right now: before text in paragraphs (specifically, media) are parsed. + * + * @type {Resolver} + */ +function resolveContent(events) { + subtokenize(events) + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeContent(effects, ok) { + /** @type {Token | undefined} */ + let previous + return chunkStart + + /** + * Before a content chunk. + * + * ```markdown + * > | abc + * ^ + * ``` + * + * @type {State} + */ + function chunkStart(code) { + effects.enter('content') + previous = effects.enter('chunkContent', { + contentType: 'content' + }) + return chunkInside(code) + } + + /** + * In a content chunk. + * + * ```markdown + * > | abc + * ^^^ + * ``` + * + * @type {State} + */ + function chunkInside(code) { + if (code === null) { + return contentEnd(code) + } + + // To do: in `markdown-rs`, each line is parsed on its own, and everything + // is stitched together resolving. + if (markdownLineEnding(code)) { + return effects.check( + continuationConstruct, + contentContinue, + contentEnd + )(code) + } + + // Data. + effects.consume(code) + return chunkInside + } + + /** + * + * + * @type {State} + */ + function contentEnd(code) { + effects.exit('chunkContent') + effects.exit('content') + return ok(code) + } + + /** + * + * + * @type {State} + */ + function contentContinue(code) { + effects.consume(code) + effects.exit('chunkContent') + previous.next = effects.enter('chunkContent', { + contentType: 'content', + previous + }) + previous = previous.next + return chunkInside + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeContinuation(effects, ok, nok) { + const self = this + return startLookahead + + /** + * + * + * @type {State} + */ + function startLookahead(code) { + effects.exit('chunkContent') + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return factorySpace(effects, prefixed, 'linePrefix') + } + + /** + * + * + * @type {State} + */ + function prefixed(code) { + if (code === null || markdownLineEnding(code)) { + return nok(code) + } + + // Always populated by defaults. + + const tail = self.events[self.events.length - 1] + if ( + !self.parser.constructs.disable.null.includes('codeIndented') && + tail && + tail[1].type === 'linePrefix' && + tail[2].sliceSerialize(tail[1], true).length >= 4 + ) { + return ok(code) + } + return effects.interrupt(self.parser.constructs.flow, nok, ok)(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/flow.js +/** + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').Initializer} Initializer + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + + + + +/** @type {InitialConstruct} */ +const flow = { + tokenize: initializeFlow +} + +/** + * @this {TokenizeContext} + * @type {Initializer} + */ +function initializeFlow(effects) { + const self = this + const initial = effects.attempt( + // Try to parse a blank line. + blankLine, + atBlankEnding, + // Try to parse initial flow (essentially, only code). + effects.attempt( + this.parser.constructs.flowInitial, + afterConstruct, + factorySpace( + effects, + effects.attempt( + this.parser.constructs.flow, + afterConstruct, + effects.attempt(content_content, afterConstruct) + ), + 'linePrefix' + ) + ) + ) + return initial + + /** @type {State} */ + function atBlankEnding(code) { + if (code === null) { + effects.consume(code) + return + } + effects.enter('lineEndingBlank') + effects.consume(code) + effects.exit('lineEndingBlank') + self.currentConstruct = undefined + return initial + } + + /** @type {State} */ + function afterConstruct(code) { + if (code === null) { + effects.consume(code) + return + } + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + self.currentConstruct = undefined + return initial + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/text.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').Initializer} Initializer + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + +const resolver = { + resolveAll: createResolver() +} +const string = initializeFactory('string') +const text_text = initializeFactory('text') + +/** + * @param {'string' | 'text'} field + * @returns {InitialConstruct} + */ +function initializeFactory(field) { + return { + tokenize: initializeText, + resolveAll: createResolver( + field === 'text' ? resolveAllLineSuffixes : undefined + ) + } + + /** + * @this {TokenizeContext} + * @type {Initializer} + */ + function initializeText(effects) { + const self = this + const constructs = this.parser.constructs[field] + const text = effects.attempt(constructs, start, notText) + return start + + /** @type {State} */ + function start(code) { + return atBreak(code) ? text(code) : notText(code) + } + + /** @type {State} */ + function notText(code) { + if (code === null) { + effects.consume(code) + return + } + effects.enter('data') + effects.consume(code) + return data + } + + /** @type {State} */ + function data(code) { + if (atBreak(code)) { + effects.exit('data') + return text(code) + } + + // Data. + effects.consume(code) + return data + } + + /** + * @param {Code} code + * @returns {boolean} + */ + function atBreak(code) { + if (code === null) { + return true + } + const list = constructs[code] + let index = -1 + if (list) { + // Always populated by defaults. + + while (++index < list.length) { + const item = list[index] + if (!item.previous || item.previous.call(self, self.previous)) { + return true + } + } + } + return false + } + } +} + +/** + * @param {Resolver | undefined} [extraResolver] + * @returns {Resolver} + */ +function createResolver(extraResolver) { + return resolveAllText + + /** @type {Resolver} */ + function resolveAllText(events, context) { + let index = -1 + /** @type {number | undefined} */ + let enter + + // A rather boring computation (to merge adjacent `data` events) which + // improves mm performance by 29%. + while (++index <= events.length) { + if (enter === undefined) { + if (events[index] && events[index][1].type === 'data') { + enter = index + index++ + } + } else if (!events[index] || events[index][1].type !== 'data') { + // Don’t do anything if there is one data token. + if (index !== enter + 2) { + events[enter][1].end = events[index - 1][1].end + events.splice(enter + 2, index - enter - 2) + index = enter + 2 + } + enter = undefined + } + } + return extraResolver ? extraResolver(events, context) : events + } +} + +/** + * A rather ugly set of instructions which again looks at chunks in the input + * stream. + * The reason to do this here is that it is *much* faster to parse in reverse. + * And that we can’t hook into `null` to split the line suffix before an EOF. + * To do: figure out if we can make this into a clean utility, or even in core. + * As it will be useful for GFMs literal autolink extension (and maybe even + * tables?) + * + * @type {Resolver} + */ +function resolveAllLineSuffixes(events, context) { + let eventIndex = 0 // Skip first. + + while (++eventIndex <= events.length) { + if ( + (eventIndex === events.length || + events[eventIndex][1].type === 'lineEnding') && + events[eventIndex - 1][1].type === 'data' + ) { + const data = events[eventIndex - 1][1] + const chunks = context.sliceStream(data) + let index = chunks.length + let bufferIndex = -1 + let size = 0 + /** @type {boolean | undefined} */ + let tabs + while (index--) { + const chunk = chunks[index] + if (typeof chunk === 'string') { + bufferIndex = chunk.length + while (chunk.charCodeAt(bufferIndex - 1) === 32) { + size++ + bufferIndex-- + } + if (bufferIndex) break + bufferIndex = -1 + } + // Number + else if (chunk === -2) { + tabs = true + size++ + } else if (chunk === -1) { + // Empty + } else { + // Replacement character, exit. + index++ + break + } + } + if (size) { + const token = { + type: + eventIndex === events.length || tabs || size < 2 + ? 'lineSuffix' + : 'hardBreakTrailing', + start: { + line: data.end.line, + column: data.end.column - size, + offset: data.end.offset - size, + _index: data.start._index + index, + _bufferIndex: index + ? bufferIndex + : data.start._bufferIndex + bufferIndex + }, + end: Object.assign({}, data.end) + } + data.end = Object.assign({}, token.start) + if (data.start.offset === data.end.offset) { + Object.assign(data, token) + } else { + events.splice( + eventIndex, + 0, + ['enter', token, context], + ['exit', token, context] + ) + eventIndex += 2 + } + } + eventIndex++ + } + } + return events +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-resolve-all/index.js +/** + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + +/** + * Call all `resolveAll`s. + * + * @param {Array<{resolveAll?: Resolver | undefined}>} constructs + * List of constructs, optionally with `resolveAll`s. + * @param {Array<Event>} events + * List of events. + * @param {TokenizeContext} context + * Context used by `tokenize`. + * @returns {Array<Event>} + * Changed events. + */ +function resolveAll(constructs, events, context) { + /** @type {Array<Resolver>} */ + const called = [] + let index = -1 + + while (++index < constructs.length) { + const resolve = constructs[index].resolveAll + + if (resolve && !called.includes(resolve)) { + events = resolve(events, context) + called.push(resolve) + } + } + + return events +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/create-tokenizer.js +/** + * @typedef {import('micromark-util-types').Chunk} Chunk + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').ConstructRecord} ConstructRecord + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').ParseContext} ParseContext + * @typedef {import('micromark-util-types').Point} Point + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenType} TokenType + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + +/** + * @callback Restore + * @returns {void} + * + * @typedef Info + * @property {Restore} restore + * @property {number} from + * + * @callback ReturnHandle + * Handle a successful run. + * @param {Construct} construct + * @param {Info} info + * @returns {void} + */ + + + + +/** + * Create a tokenizer. + * Tokenizers deal with one type of data (e.g., containers, flow, text). + * The parser is the object dealing with it all. + * `initialize` works like other constructs, except that only its `tokenize` + * function is used, in which case it doesn’t receive an `ok` or `nok`. + * `from` can be given to set the point before the first character, although + * when further lines are indented, they must be set with `defineSkip`. + * + * @param {ParseContext} parser + * @param {InitialConstruct} initialize + * @param {Omit<Point, '_bufferIndex' | '_index'> | undefined} [from] + * @returns {TokenizeContext} + */ +function createTokenizer(parser, initialize, from) { + /** @type {Point} */ + let point = Object.assign( + from + ? Object.assign({}, from) + : { + line: 1, + column: 1, + offset: 0 + }, + { + _index: 0, + _bufferIndex: -1 + } + ) + /** @type {Record<string, number>} */ + const columnStart = {} + /** @type {Array<Construct>} */ + const resolveAllConstructs = [] + /** @type {Array<Chunk>} */ + let chunks = [] + /** @type {Array<Token>} */ + let stack = [] + /** @type {boolean | undefined} */ + let consumed = true + + /** + * Tools used for tokenizing. + * + * @type {Effects} + */ + const effects = { + consume, + enter, + exit, + attempt: constructFactory(onsuccessfulconstruct), + check: constructFactory(onsuccessfulcheck), + interrupt: constructFactory(onsuccessfulcheck, { + interrupt: true + }) + } + + /** + * State and tools for resolving and serializing. + * + * @type {TokenizeContext} + */ + const context = { + previous: null, + code: null, + containerState: {}, + events: [], + parser, + sliceStream, + sliceSerialize, + now, + defineSkip, + write + } + + /** + * The state function. + * + * @type {State | void} + */ + let state = initialize.tokenize.call(context, effects) + + /** + * Track which character we expect to be consumed, to catch bugs. + * + * @type {Code} + */ + let expectedCode + if (initialize.resolveAll) { + resolveAllConstructs.push(initialize) + } + return context + + /** @type {TokenizeContext['write']} */ + function write(slice) { + chunks = push(chunks, slice) + main() + + // Exit if we’re not done, resolve might change stuff. + if (chunks[chunks.length - 1] !== null) { + return [] + } + addResult(initialize, 0) + + // Otherwise, resolve, and exit. + context.events = resolveAll(resolveAllConstructs, context.events, context) + return context.events + } + + // + // Tools. + // + + /** @type {TokenizeContext['sliceSerialize']} */ + function sliceSerialize(token, expandTabs) { + return serializeChunks(sliceStream(token), expandTabs) + } + + /** @type {TokenizeContext['sliceStream']} */ + function sliceStream(token) { + return sliceChunks(chunks, token) + } + + /** @type {TokenizeContext['now']} */ + function now() { + // This is a hot path, so we clone manually instead of `Object.assign({}, point)` + const {line, column, offset, _index, _bufferIndex} = point + return { + line, + column, + offset, + _index, + _bufferIndex + } + } + + /** @type {TokenizeContext['defineSkip']} */ + function defineSkip(value) { + columnStart[value.line] = value.column + accountForPotentialSkip() + } + + // + // State management. + // + + /** + * Main loop (note that `_index` and `_bufferIndex` in `point` are modified by + * `consume`). + * Here is where we walk through the chunks, which either include strings of + * several characters, or numerical character codes. + * The reason to do this in a loop instead of a call is so the stack can + * drain. + * + * @returns {void} + */ + function main() { + /** @type {number} */ + let chunkIndex + while (point._index < chunks.length) { + const chunk = chunks[point._index] + + // If we’re in a buffer chunk, loop through it. + if (typeof chunk === 'string') { + chunkIndex = point._index + if (point._bufferIndex < 0) { + point._bufferIndex = 0 + } + while ( + point._index === chunkIndex && + point._bufferIndex < chunk.length + ) { + go(chunk.charCodeAt(point._bufferIndex)) + } + } else { + go(chunk) + } + } + } + + /** + * Deal with one code. + * + * @param {Code} code + * @returns {void} + */ + function go(code) { + consumed = undefined + expectedCode = code + state = state(code) + } + + /** @type {Effects['consume']} */ + function consume(code) { + if (markdownLineEnding(code)) { + point.line++ + point.column = 1 + point.offset += code === -3 ? 2 : 1 + accountForPotentialSkip() + } else if (code !== -1) { + point.column++ + point.offset++ + } + + // Not in a string chunk. + if (point._bufferIndex < 0) { + point._index++ + } else { + point._bufferIndex++ + + // At end of string chunk. + // @ts-expect-error Points w/ non-negative `_bufferIndex` reference + // strings. + if (point._bufferIndex === chunks[point._index].length) { + point._bufferIndex = -1 + point._index++ + } + } + + // Expose the previous character. + context.previous = code + + // Mark as consumed. + consumed = true + } + + /** @type {Effects['enter']} */ + function enter(type, fields) { + /** @type {Token} */ + // @ts-expect-error Patch instead of assign required fields to help GC. + const token = fields || {} + token.type = type + token.start = now() + context.events.push(['enter', token, context]) + stack.push(token) + return token + } + + /** @type {Effects['exit']} */ + function exit(type) { + const token = stack.pop() + token.end = now() + context.events.push(['exit', token, context]) + return token + } + + /** + * Use results. + * + * @type {ReturnHandle} + */ + function onsuccessfulconstruct(construct, info) { + addResult(construct, info.from) + } + + /** + * Discard results. + * + * @type {ReturnHandle} + */ + function onsuccessfulcheck(_, info) { + info.restore() + } + + /** + * Factory to attempt/check/interrupt. + * + * @param {ReturnHandle} onreturn + * @param {{interrupt?: boolean | undefined} | undefined} [fields] + */ + function constructFactory(onreturn, fields) { + return hook + + /** + * Handle either an object mapping codes to constructs, a list of + * constructs, or a single construct. + * + * @param {Array<Construct> | Construct | ConstructRecord} constructs + * @param {State} returnState + * @param {State | undefined} [bogusState] + * @returns {State} + */ + function hook(constructs, returnState, bogusState) { + /** @type {Array<Construct>} */ + let listOfConstructs + /** @type {number} */ + let constructIndex + /** @type {Construct} */ + let currentConstruct + /** @type {Info} */ + let info + return Array.isArray(constructs) /* c8 ignore next 1 */ + ? handleListOfConstructs(constructs) + : 'tokenize' in constructs + ? // @ts-expect-error Looks like a construct. + handleListOfConstructs([constructs]) + : handleMapOfConstructs(constructs) + + /** + * Handle a list of construct. + * + * @param {ConstructRecord} map + * @returns {State} + */ + function handleMapOfConstructs(map) { + return start + + /** @type {State} */ + function start(code) { + const def = code !== null && map[code] + const all = code !== null && map.null + const list = [ + // To do: add more extension tests. + /* c8 ignore next 2 */ + ...(Array.isArray(def) ? def : def ? [def] : []), + ...(Array.isArray(all) ? all : all ? [all] : []) + ] + return handleListOfConstructs(list)(code) + } + } + + /** + * Handle a list of construct. + * + * @param {Array<Construct>} list + * @returns {State} + */ + function handleListOfConstructs(list) { + listOfConstructs = list + constructIndex = 0 + if (list.length === 0) { + return bogusState + } + return handleConstruct(list[constructIndex]) + } + + /** + * Handle a single construct. + * + * @param {Construct} construct + * @returns {State} + */ + function handleConstruct(construct) { + return start + + /** @type {State} */ + function start(code) { + // To do: not needed to store if there is no bogus state, probably? + // Currently doesn’t work because `inspect` in document does a check + // w/o a bogus, which doesn’t make sense. But it does seem to help perf + // by not storing. + info = store() + currentConstruct = construct + if (!construct.partial) { + context.currentConstruct = construct + } + + // Always populated by defaults. + + if ( + construct.name && + context.parser.constructs.disable.null.includes(construct.name) + ) { + return nok(code) + } + return construct.tokenize.call( + // If we do have fields, create an object w/ `context` as its + // prototype. + // This allows a “live binding”, which is needed for `interrupt`. + fields ? Object.assign(Object.create(context), fields) : context, + effects, + ok, + nok + )(code) + } + } + + /** @type {State} */ + function ok(code) { + consumed = true + onreturn(currentConstruct, info) + return returnState + } + + /** @type {State} */ + function nok(code) { + consumed = true + info.restore() + if (++constructIndex < listOfConstructs.length) { + return handleConstruct(listOfConstructs[constructIndex]) + } + return bogusState + } + } + } + + /** + * @param {Construct} construct + * @param {number} from + * @returns {void} + */ + function addResult(construct, from) { + if (construct.resolveAll && !resolveAllConstructs.includes(construct)) { + resolveAllConstructs.push(construct) + } + if (construct.resolve) { + splice( + context.events, + from, + context.events.length - from, + construct.resolve(context.events.slice(from), context) + ) + } + if (construct.resolveTo) { + context.events = construct.resolveTo(context.events, context) + } + } + + /** + * Store state. + * + * @returns {Info} + */ + function store() { + const startPoint = now() + const startPrevious = context.previous + const startCurrentConstruct = context.currentConstruct + const startEventsIndex = context.events.length + const startStack = Array.from(stack) + return { + restore, + from: startEventsIndex + } + + /** + * Restore state. + * + * @returns {void} + */ + function restore() { + point = startPoint + context.previous = startPrevious + context.currentConstruct = startCurrentConstruct + context.events.length = startEventsIndex + stack = startStack + accountForPotentialSkip() + } + } + + /** + * Move the current point a bit forward in the line when it’s on a column + * skip. + * + * @returns {void} + */ + function accountForPotentialSkip() { + if (point.line in columnStart && point.column < 2) { + point.column = columnStart[point.line] + point.offset += columnStart[point.line] - 1 + } + } +} + +/** + * Get the chunks from a slice of chunks in the range of a token. + * + * @param {Array<Chunk>} chunks + * @param {Pick<Token, 'end' | 'start'>} token + * @returns {Array<Chunk>} + */ +function sliceChunks(chunks, token) { + const startIndex = token.start._index + const startBufferIndex = token.start._bufferIndex + const endIndex = token.end._index + const endBufferIndex = token.end._bufferIndex + /** @type {Array<Chunk>} */ + let view + if (startIndex === endIndex) { + // @ts-expect-error `_bufferIndex` is used on string chunks. + view = [chunks[startIndex].slice(startBufferIndex, endBufferIndex)] + } else { + view = chunks.slice(startIndex, endIndex) + if (startBufferIndex > -1) { + const head = view[0] + if (typeof head === 'string') { + view[0] = head.slice(startBufferIndex) + } else { + view.shift() + } + } + if (endBufferIndex > 0) { + // @ts-expect-error `_bufferIndex` is used on string chunks. + view.push(chunks[endIndex].slice(0, endBufferIndex)) + } + } + return view +} + +/** + * Get the string value of a slice of chunks. + * + * @param {Array<Chunk>} chunks + * @param {boolean | undefined} [expandTabs=false] + * @returns {string} + */ +function serializeChunks(chunks, expandTabs) { + let index = -1 + /** @type {Array<string>} */ + const result = [] + /** @type {boolean | undefined} */ + let atTab + while (++index < chunks.length) { + const chunk = chunks[index] + /** @type {string} */ + let value + if (typeof chunk === 'string') { + value = chunk + } else + switch (chunk) { + case -5: { + value = '\r' + break + } + case -4: { + value = '\n' + break + } + case -3: { + value = '\r' + '\n' + break + } + case -2: { + value = expandTabs ? ' ' : '\t' + break + } + case -1: { + if (!expandTabs && atTab) continue + value = ' ' + break + } + default: { + // Currently only replacement character. + value = String.fromCharCode(chunk) + } + } + atTab = chunk === -2 + result.push(value) + } + return result.join('') +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/thematic-break.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const thematicBreak = { + name: 'thematicBreak', + tokenize: tokenizeThematicBreak +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeThematicBreak(effects, ok, nok) { + let size = 0 + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * Start of thematic break. + * + * ```markdown + * > | *** + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('thematicBreak') + // To do: parse indent like `markdown-rs`. + return before(code) + } + + /** + * After optional whitespace, at marker. + * + * ```markdown + * > | *** + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + marker = code + return atBreak(code) + } + + /** + * After something, before something else. + * + * ```markdown + * > | *** + * ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if (code === marker) { + effects.enter('thematicBreakSequence') + return sequence(code) + } + if (size >= 3 && (code === null || markdownLineEnding(code))) { + effects.exit('thematicBreak') + return ok(code) + } + return nok(code) + } + + /** + * In sequence. + * + * ```markdown + * > | *** + * ^ + * ``` + * + * @type {State} + */ + function sequence(code) { + if (code === marker) { + effects.consume(code) + size++ + return sequence + } + effects.exit('thematicBreakSequence') + return markdownSpace(code) + ? factorySpace(effects, atBreak, 'whitespace')(code) + : atBreak(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/list.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').ContainerState} ContainerState + * @typedef {import('micromark-util-types').Exiter} Exiter + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + + + +/** @type {Construct} */ +const list = { + name: 'list', + tokenize: tokenizeListStart, + continuation: { + tokenize: tokenizeListContinuation + }, + exit: tokenizeListEnd +} + +/** @type {Construct} */ +const listItemPrefixWhitespaceConstruct = { + tokenize: tokenizeListItemPrefixWhitespace, + partial: true +} + +/** @type {Construct} */ +const indentConstruct = { + tokenize: tokenizeIndent, + partial: true +} + +// To do: `markdown-rs` parses list items on their own and later stitches them +// together. + +/** + * @type {Tokenizer} + * @this {TokenizeContext} + */ +function tokenizeListStart(effects, ok, nok) { + const self = this + const tail = self.events[self.events.length - 1] + let initialSize = + tail && tail[1].type === 'linePrefix' + ? tail[2].sliceSerialize(tail[1], true).length + : 0 + let size = 0 + return start + + /** @type {State} */ + function start(code) { + const kind = + self.containerState.type || + (code === 42 || code === 43 || code === 45 + ? 'listUnordered' + : 'listOrdered') + if ( + kind === 'listUnordered' + ? !self.containerState.marker || code === self.containerState.marker + : asciiDigit(code) + ) { + if (!self.containerState.type) { + self.containerState.type = kind + effects.enter(kind, { + _container: true + }) + } + if (kind === 'listUnordered') { + effects.enter('listItemPrefix') + return code === 42 || code === 45 + ? effects.check(thematicBreak, nok, atMarker)(code) + : atMarker(code) + } + if (!self.interrupt || code === 49) { + effects.enter('listItemPrefix') + effects.enter('listItemValue') + return inside(code) + } + } + return nok(code) + } + + /** @type {State} */ + function inside(code) { + if (asciiDigit(code) && ++size < 10) { + effects.consume(code) + return inside + } + if ( + (!self.interrupt || size < 2) && + (self.containerState.marker + ? code === self.containerState.marker + : code === 41 || code === 46) + ) { + effects.exit('listItemValue') + return atMarker(code) + } + return nok(code) + } + + /** + * @type {State} + **/ + function atMarker(code) { + effects.enter('listItemMarker') + effects.consume(code) + effects.exit('listItemMarker') + self.containerState.marker = self.containerState.marker || code + return effects.check( + blankLine, + // Can’t be empty when interrupting. + self.interrupt ? nok : onBlank, + effects.attempt( + listItemPrefixWhitespaceConstruct, + endOfPrefix, + otherPrefix + ) + ) + } + + /** @type {State} */ + function onBlank(code) { + self.containerState.initialBlankLine = true + initialSize++ + return endOfPrefix(code) + } + + /** @type {State} */ + function otherPrefix(code) { + if (markdownSpace(code)) { + effects.enter('listItemPrefixWhitespace') + effects.consume(code) + effects.exit('listItemPrefixWhitespace') + return endOfPrefix + } + return nok(code) + } + + /** @type {State} */ + function endOfPrefix(code) { + self.containerState.size = + initialSize + + self.sliceSerialize(effects.exit('listItemPrefix'), true).length + return ok(code) + } +} + +/** + * @type {Tokenizer} + * @this {TokenizeContext} + */ +function tokenizeListContinuation(effects, ok, nok) { + const self = this + self.containerState._closeFlow = undefined + return effects.check(blankLine, onBlank, notBlank) + + /** @type {State} */ + function onBlank(code) { + self.containerState.furtherBlankLines = + self.containerState.furtherBlankLines || + self.containerState.initialBlankLine + + // We have a blank line. + // Still, try to consume at most the items size. + return factorySpace( + effects, + ok, + 'listItemIndent', + self.containerState.size + 1 + )(code) + } + + /** @type {State} */ + function notBlank(code) { + if (self.containerState.furtherBlankLines || !markdownSpace(code)) { + self.containerState.furtherBlankLines = undefined + self.containerState.initialBlankLine = undefined + return notInCurrentItem(code) + } + self.containerState.furtherBlankLines = undefined + self.containerState.initialBlankLine = undefined + return effects.attempt(indentConstruct, ok, notInCurrentItem)(code) + } + + /** @type {State} */ + function notInCurrentItem(code) { + // While we do continue, we signal that the flow should be closed. + self.containerState._closeFlow = true + // As we’re closing flow, we’re no longer interrupting. + self.interrupt = undefined + // Always populated by defaults. + + return factorySpace( + effects, + effects.attempt(list, ok, nok), + 'linePrefix', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + )(code) + } +} + +/** + * @type {Tokenizer} + * @this {TokenizeContext} + */ +function tokenizeIndent(effects, ok, nok) { + const self = this + return factorySpace( + effects, + afterPrefix, + 'listItemIndent', + self.containerState.size + 1 + ) + + /** @type {State} */ + function afterPrefix(code) { + const tail = self.events[self.events.length - 1] + return tail && + tail[1].type === 'listItemIndent' && + tail[2].sliceSerialize(tail[1], true).length === self.containerState.size + ? ok(code) + : nok(code) + } +} + +/** + * @type {Exiter} + * @this {TokenizeContext} + */ +function tokenizeListEnd(effects) { + effects.exit(this.containerState.type) +} + +/** + * @type {Tokenizer} + * @this {TokenizeContext} + */ +function tokenizeListItemPrefixWhitespace(effects, ok, nok) { + const self = this + + // Always populated by defaults. + + return factorySpace( + effects, + afterPrefix, + 'listItemPrefixWhitespace', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + 1 + ) + + /** @type {State} */ + function afterPrefix(code) { + const tail = self.events[self.events.length - 1] + return !markdownSpace(code) && + tail && + tail[1].type === 'listItemPrefixWhitespace' + ? ok(code) + : nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/block-quote.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Exiter} Exiter + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const blockQuote = { + name: 'blockQuote', + tokenize: tokenizeBlockQuoteStart, + continuation: { + tokenize: tokenizeBlockQuoteContinuation + }, + exit +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeBlockQuoteStart(effects, ok, nok) { + const self = this + return start + + /** + * Start of block quote. + * + * ```markdown + * > | > a + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + if (code === 62) { + const state = self.containerState + if (!state.open) { + effects.enter('blockQuote', { + _container: true + }) + state.open = true + } + effects.enter('blockQuotePrefix') + effects.enter('blockQuoteMarker') + effects.consume(code) + effects.exit('blockQuoteMarker') + return after + } + return nok(code) + } + + /** + * After `>`, before optional whitespace. + * + * ```markdown + * > | > a + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + if (markdownSpace(code)) { + effects.enter('blockQuotePrefixWhitespace') + effects.consume(code) + effects.exit('blockQuotePrefixWhitespace') + effects.exit('blockQuotePrefix') + return ok + } + effects.exit('blockQuotePrefix') + return ok(code) + } +} + +/** + * Start of block quote continuation. + * + * ```markdown + * | > a + * > | > b + * ^ + * ``` + * + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeBlockQuoteContinuation(effects, ok, nok) { + const self = this + return contStart + + /** + * Start of block quote continuation. + * + * Also used to parse the first block quote opening. + * + * ```markdown + * | > a + * > | > b + * ^ + * ``` + * + * @type {State} + */ + function contStart(code) { + if (markdownSpace(code)) { + // Always populated by defaults. + + return factorySpace( + effects, + contBefore, + 'linePrefix', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + )(code) + } + return contBefore(code) + } + + /** + * At `>`, after optional whitespace. + * + * Also used to parse the first block quote opening. + * + * ```markdown + * | > a + * > | > b + * ^ + * ``` + * + * @type {State} + */ + function contBefore(code) { + return effects.attempt(blockQuote, ok, nok)(code) + } +} + +/** @type {Exiter} */ +function exit(effects) { + effects.exit('blockQuote') +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-destination/index.js +/** + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenType} TokenType + */ + + +/** + * Parse destinations. + * + * ###### Examples + * + * ```markdown + * <a> + * <a\>b> + * <a b> + * <a)> + * a + * a\)b + * a(b)c + * a(b) + * ``` + * + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @param {State} nok + * State switched to when unsuccessful. + * @param {TokenType} type + * Type for whole (`<a>` or `b`). + * @param {TokenType} literalType + * Type when enclosed (`<a>`). + * @param {TokenType} literalMarkerType + * Type for enclosing (`<` and `>`). + * @param {TokenType} rawType + * Type when not enclosed (`b`). + * @param {TokenType} stringType + * Type for the value (`a` or `b`). + * @param {number | undefined} [max=Infinity] + * Depth of nested parens (inclusive). + * @returns {State} + * Start state. + */ // eslint-disable-next-line max-params +function factoryDestination( + effects, + ok, + nok, + type, + literalType, + literalMarkerType, + rawType, + stringType, + max +) { + const limit = max || Number.POSITIVE_INFINITY + let balance = 0 + return start + + /** + * Start of destination. + * + * ```markdown + * > | <aa> + * ^ + * > | aa + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + if (code === 60) { + effects.enter(type) + effects.enter(literalType) + effects.enter(literalMarkerType) + effects.consume(code) + effects.exit(literalMarkerType) + return enclosedBefore + } + + // ASCII control, space, closing paren. + if (code === null || code === 32 || code === 41 || asciiControl(code)) { + return nok(code) + } + effects.enter(type) + effects.enter(rawType) + effects.enter(stringType) + effects.enter('chunkString', { + contentType: 'string' + }) + return raw(code) + } + + /** + * After `<`, at an enclosed destination. + * + * ```markdown + * > | <aa> + * ^ + * ``` + * + * @type {State} + */ + function enclosedBefore(code) { + if (code === 62) { + effects.enter(literalMarkerType) + effects.consume(code) + effects.exit(literalMarkerType) + effects.exit(literalType) + effects.exit(type) + return ok + } + effects.enter(stringType) + effects.enter('chunkString', { + contentType: 'string' + }) + return enclosed(code) + } + + /** + * In enclosed destination. + * + * ```markdown + * > | <aa> + * ^ + * ``` + * + * @type {State} + */ + function enclosed(code) { + if (code === 62) { + effects.exit('chunkString') + effects.exit(stringType) + return enclosedBefore(code) + } + if (code === null || code === 60 || markdownLineEnding(code)) { + return nok(code) + } + effects.consume(code) + return code === 92 ? enclosedEscape : enclosed + } + + /** + * After `\`, at a special character. + * + * ```markdown + * > | <a\*a> + * ^ + * ``` + * + * @type {State} + */ + function enclosedEscape(code) { + if (code === 60 || code === 62 || code === 92) { + effects.consume(code) + return enclosed + } + return enclosed(code) + } + + /** + * In raw destination. + * + * ```markdown + * > | aa + * ^ + * ``` + * + * @type {State} + */ + function raw(code) { + if ( + !balance && + (code === null || code === 41 || markdownLineEndingOrSpace(code)) + ) { + effects.exit('chunkString') + effects.exit(stringType) + effects.exit(rawType) + effects.exit(type) + return ok(code) + } + if (balance < limit && code === 40) { + effects.consume(code) + balance++ + return raw + } + if (code === 41) { + effects.consume(code) + balance-- + return raw + } + + // ASCII control (but *not* `\0`) and space and `(`. + // Note: in `markdown-rs`, `\0` exists in codes, in `micromark-js` it + // doesn’t. + if (code === null || code === 32 || code === 40 || asciiControl(code)) { + return nok(code) + } + effects.consume(code) + return code === 92 ? rawEscape : raw + } + + /** + * After `\`, at special character. + * + * ```markdown + * > | a\*a + * ^ + * ``` + * + * @type {State} + */ + function rawEscape(code) { + if (code === 40 || code === 41 || code === 92) { + effects.consume(code) + return raw + } + return raw(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-label/index.js +/** + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').TokenType} TokenType + */ + + +/** + * Parse labels. + * + * > 👉 **Note**: labels in markdown are capped at 999 characters in the string. + * + * ###### Examples + * + * ```markdown + * [a] + * [a + * b] + * [a\]b] + * ``` + * + * @this {TokenizeContext} + * Tokenize context. + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @param {State} nok + * State switched to when unsuccessful. + * @param {TokenType} type + * Type of the whole label (`[a]`). + * @param {TokenType} markerType + * Type for the markers (`[` and `]`). + * @param {TokenType} stringType + * Type for the identifier (`a`). + * @returns {State} + * Start state. + */ // eslint-disable-next-line max-params +function factoryLabel(effects, ok, nok, type, markerType, stringType) { + const self = this + let size = 0 + /** @type {boolean} */ + let seen + return start + + /** + * Start of label. + * + * ```markdown + * > | [a] + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter(type) + effects.enter(markerType) + effects.consume(code) + effects.exit(markerType) + effects.enter(stringType) + return atBreak + } + + /** + * In label, at something, before something else. + * + * ```markdown + * > | [a] + * ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if ( + size > 999 || + code === null || + code === 91 || + (code === 93 && !seen) || + // To do: remove in the future once we’ve switched from + // `micromark-extension-footnote` to `micromark-extension-gfm-footnote`, + // which doesn’t need this. + // Hidden footnotes hook. + /* c8 ignore next 3 */ + (code === 94 && + !size && + '_hiddenFootnoteSupport' in self.parser.constructs) + ) { + return nok(code) + } + if (code === 93) { + effects.exit(stringType) + effects.enter(markerType) + effects.consume(code) + effects.exit(markerType) + effects.exit(type) + return ok + } + + // To do: indent? Link chunks and EOLs together? + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return atBreak + } + effects.enter('chunkString', { + contentType: 'string' + }) + return labelInside(code) + } + + /** + * In label, in text. + * + * ```markdown + * > | [a] + * ^ + * ``` + * + * @type {State} + */ + function labelInside(code) { + if ( + code === null || + code === 91 || + code === 93 || + markdownLineEnding(code) || + size++ > 999 + ) { + effects.exit('chunkString') + return atBreak(code) + } + effects.consume(code) + if (!seen) seen = !markdownSpace(code) + return code === 92 ? labelEscape : labelInside + } + + /** + * After `\`, at a special character. + * + * ```markdown + * > | [a\*a] + * ^ + * ``` + * + * @type {State} + */ + function labelEscape(code) { + if (code === 91 || code === 92 || code === 93) { + effects.consume(code) + size++ + return labelInside + } + return labelInside(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-title/index.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenType} TokenType + */ + + + +/** + * Parse titles. + * + * ###### Examples + * + * ```markdown + * "a" + * 'b' + * (c) + * "a + * b" + * 'a + * b' + * (a\)b) + * ``` + * + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @param {State} nok + * State switched to when unsuccessful. + * @param {TokenType} type + * Type of the whole title (`"a"`, `'b'`, `(c)`). + * @param {TokenType} markerType + * Type for the markers (`"`, `'`, `(`, and `)`). + * @param {TokenType} stringType + * Type for the value (`a`). + * @returns {State} + * Start state. + */ // eslint-disable-next-line max-params +function factoryTitle(effects, ok, nok, type, markerType, stringType) { + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * Start of title. + * + * ```markdown + * > | "a" + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + if (code === 34 || code === 39 || code === 40) { + effects.enter(type) + effects.enter(markerType) + effects.consume(code) + effects.exit(markerType) + marker = code === 40 ? 41 : code + return begin + } + return nok(code) + } + + /** + * After opening marker. + * + * This is also used at the closing marker. + * + * ```markdown + * > | "a" + * ^ + * ``` + * + * @type {State} + */ + function begin(code) { + if (code === marker) { + effects.enter(markerType) + effects.consume(code) + effects.exit(markerType) + effects.exit(type) + return ok + } + effects.enter(stringType) + return atBreak(code) + } + + /** + * At something, before something else. + * + * ```markdown + * > | "a" + * ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if (code === marker) { + effects.exit(stringType) + return begin(marker) + } + if (code === null) { + return nok(code) + } + + // Note: blank lines can’t exist in content. + if (markdownLineEnding(code)) { + // To do: use `space_or_tab_eol_with_options`, connect. + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return factorySpace(effects, atBreak, 'linePrefix') + } + effects.enter('chunkString', { + contentType: 'string' + }) + return inside(code) + } + + /** + * + * + * @type {State} + */ + function inside(code) { + if (code === marker || code === null || markdownLineEnding(code)) { + effects.exit('chunkString') + return atBreak(code) + } + effects.consume(code) + return code === 92 ? escape : inside + } + + /** + * After `\`, at a special character. + * + * ```markdown + * > | "a\*b" + * ^ + * ``` + * + * @type {State} + */ + function escape(code) { + if (code === marker || code === 92) { + effects.consume(code) + return inside + } + return inside(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-whitespace/index.js +/** + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + */ + + + +/** + * Parse spaces and tabs. + * + * There is no `nok` parameter: + * + * * line endings or spaces in markdown are often optional, in which case this + * factory can be used and `ok` will be switched to whether spaces were found + * or not + * * one line ending or space can be detected with + * `markdownLineEndingOrSpace(code)` right before using `factoryWhitespace` + * + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @returns + * Start state. + */ +function factoryWhitespace(effects, ok) { + /** @type {boolean} */ + let seen + return start + + /** @type {State} */ + function start(code) { + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + seen = true + return start + } + if (markdownSpace(code)) { + return factorySpace( + effects, + start, + seen ? 'linePrefix' : 'lineSuffix' + )(code) + } + return ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-normalize-identifier/index.js +/** + * Normalize an identifier (as found in references, definitions). + * + * Collapses markdown whitespace, trim, and then lower- and uppercase. + * + * Some characters are considered “uppercase”, such as U+03F4 (`ϴ`), but if their + * lowercase counterpart (U+03B8 (`θ`)) is uppercased will result in a different + * uppercase character (U+0398 (`Θ`)). + * So, to get a canonical form, we perform both lower- and uppercase. + * + * Using uppercase last makes sure keys will never interact with default + * prototypal values (such as `constructor`): nothing in the prototype of + * `Object` is uppercase. + * + * @param {string} value + * Identifier to normalize. + * @returns {string} + * Normalized identifier. + */ +function normalizeIdentifier(value) { + return ( + value + // Collapse markdown whitespace. + .replace(/[\t\n\r ]+/g, ' ') + // Trim. + .replace(/^ | $/g, '') + // Some characters are considered “uppercase”, but if their lowercase + // counterpart is uppercased will result in a different uppercase + // character. + // Hence, to get that form, we perform both lower- and uppercase. + // Upper case makes sure keys will not interact with default prototypal + // methods: no method is uppercase. + .toLowerCase() + .toUpperCase() + ) +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/definition.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + + + + + +/** @type {Construct} */ +const definition = { + name: 'definition', + tokenize: tokenizeDefinition +} + +/** @type {Construct} */ +const titleBefore = { + tokenize: tokenizeTitleBefore, + partial: true +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeDefinition(effects, ok, nok) { + const self = this + /** @type {string} */ + let identifier + return start + + /** + * At start of a definition. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // Do not interrupt paragraphs (but do follow definitions). + // To do: do `interrupt` the way `markdown-rs` does. + // To do: parse whitespace the way `markdown-rs` does. + effects.enter('definition') + return before(code) + } + + /** + * After optional whitespace, at `[`. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + // To do: parse whitespace the way `markdown-rs` does. + + return factoryLabel.call( + self, + effects, + labelAfter, + // Note: we don’t need to reset the way `markdown-rs` does. + nok, + 'definitionLabel', + 'definitionLabelMarker', + 'definitionLabelString' + )(code) + } + + /** + * After label. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function labelAfter(code) { + identifier = normalizeIdentifier( + self.sliceSerialize(self.events[self.events.length - 1][1]).slice(1, -1) + ) + if (code === 58) { + effects.enter('definitionMarker') + effects.consume(code) + effects.exit('definitionMarker') + return markerAfter + } + return nok(code) + } + + /** + * After marker. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function markerAfter(code) { + // Note: whitespace is optional. + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, destinationBefore)(code) + : destinationBefore(code) + } + + /** + * Before destination. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function destinationBefore(code) { + return factoryDestination( + effects, + destinationAfter, + // Note: we don’t need to reset the way `markdown-rs` does. + nok, + 'definitionDestination', + 'definitionDestinationLiteral', + 'definitionDestinationLiteralMarker', + 'definitionDestinationRaw', + 'definitionDestinationString' + )(code) + } + + /** + * After destination. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function destinationAfter(code) { + return effects.attempt(titleBefore, after, after)(code) + } + + /** + * After definition. + * + * ```markdown + * > | [a]: b + * ^ + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + return markdownSpace(code) + ? factorySpace(effects, afterWhitespace, 'whitespace')(code) + : afterWhitespace(code) + } + + /** + * After definition, after optional whitespace. + * + * ```markdown + * > | [a]: b + * ^ + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function afterWhitespace(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('definition') + + // Note: we don’t care about uniqueness. + // It’s likely that that doesn’t happen very frequently. + // It is more likely that it wastes precious time. + self.parser.defined.push(identifier) + + // To do: `markdown-rs` interrupt. + // // You’d be interrupting. + // tokenizer.interrupt = true + return ok(code) + } + return nok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeTitleBefore(effects, ok, nok) { + return titleBefore + + /** + * After destination, at whitespace. + * + * ```markdown + * > | [a]: b + * ^ + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function titleBefore(code) { + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, beforeMarker)(code) + : nok(code) + } + + /** + * At title. + * + * ```markdown + * | [a]: b + * > | "c" + * ^ + * ``` + * + * @type {State} + */ + function beforeMarker(code) { + return factoryTitle( + effects, + titleAfter, + nok, + 'definitionTitle', + 'definitionTitleMarker', + 'definitionTitleString' + )(code) + } + + /** + * After title. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function titleAfter(code) { + return markdownSpace(code) + ? factorySpace(effects, titleAfterOptionalWhitespace, 'whitespace')(code) + : titleAfterOptionalWhitespace(code) + } + + /** + * After title, after optional whitespace. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function titleAfterOptionalWhitespace(code) { + return code === null || markdownLineEnding(code) ? ok(code) : nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-indented.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const codeIndented = { + name: 'codeIndented', + tokenize: tokenizeCodeIndented +} + +/** @type {Construct} */ +const furtherStart = { + tokenize: tokenizeFurtherStart, + partial: true +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCodeIndented(effects, ok, nok) { + const self = this + return start + + /** + * Start of code (indented). + * + * > **Parsing note**: it is not needed to check if this first line is a + * > filled line (that it has a non-whitespace character), because blank lines + * > are parsed already, so we never run into that. + * + * ```markdown + * > | aaa + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // To do: manually check if interrupting like `markdown-rs`. + + effects.enter('codeIndented') + // To do: use an improved `space_or_tab` function like `markdown-rs`, + // so that we can drop the next state. + return factorySpace(effects, afterPrefix, 'linePrefix', 4 + 1)(code) + } + + /** + * At start, after 1 or 4 spaces. + * + * ```markdown + * > | aaa + * ^ + * ``` + * + * @type {State} + */ + function afterPrefix(code) { + const tail = self.events[self.events.length - 1] + return tail && + tail[1].type === 'linePrefix' && + tail[2].sliceSerialize(tail[1], true).length >= 4 + ? atBreak(code) + : nok(code) + } + + /** + * At a break. + * + * ```markdown + * > | aaa + * ^ ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if (code === null) { + return after(code) + } + if (markdownLineEnding(code)) { + return effects.attempt(furtherStart, atBreak, after)(code) + } + effects.enter('codeFlowValue') + return inside(code) + } + + /** + * In code content. + * + * ```markdown + * > | aaa + * ^^^^ + * ``` + * + * @type {State} + */ + function inside(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('codeFlowValue') + return atBreak(code) + } + effects.consume(code) + return inside + } + + /** @type {State} */ + function after(code) { + effects.exit('codeIndented') + // To do: allow interrupting like `markdown-rs`. + // Feel free to interrupt. + // tokenizer.interrupt = false + return ok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeFurtherStart(effects, ok, nok) { + const self = this + return furtherStart + + /** + * At eol, trying to parse another indent. + * + * ```markdown + * > | aaa + * ^ + * | bbb + * ``` + * + * @type {State} + */ + function furtherStart(code) { + // To do: improve `lazy` / `pierce` handling. + // If this is a lazy line, it can’t be code. + if (self.parser.lazy[self.now().line]) { + return nok(code) + } + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return furtherStart + } + + // To do: the code here in `micromark-js` is a bit different from + // `markdown-rs` because there it can attempt spaces. + // We can’t yet. + // + // To do: use an improved `space_or_tab` function like `markdown-rs`, + // so that we can drop the next state. + return factorySpace(effects, afterPrefix, 'linePrefix', 4 + 1)(code) + } + + /** + * At start, after 1 or 4 spaces. + * + * ```markdown + * > | aaa + * ^ + * ``` + * + * @type {State} + */ + function afterPrefix(code) { + const tail = self.events[self.events.length - 1] + return tail && + tail[1].type === 'linePrefix' && + tail[2].sliceSerialize(tail[1], true).length >= 4 + ? ok(code) + : markdownLineEnding(code) + ? furtherStart(code) + : nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/heading-atx.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + +/** @type {Construct} */ +const headingAtx = { + name: 'headingAtx', + tokenize: tokenizeHeadingAtx, + resolve: resolveHeadingAtx +} + +/** @type {Resolver} */ +function resolveHeadingAtx(events, context) { + let contentEnd = events.length - 2 + let contentStart = 3 + /** @type {Token} */ + let content + /** @type {Token} */ + let text + + // Prefix whitespace, part of the opening. + if (events[contentStart][1].type === 'whitespace') { + contentStart += 2 + } + + // Suffix whitespace, part of the closing. + if ( + contentEnd - 2 > contentStart && + events[contentEnd][1].type === 'whitespace' + ) { + contentEnd -= 2 + } + if ( + events[contentEnd][1].type === 'atxHeadingSequence' && + (contentStart === contentEnd - 1 || + (contentEnd - 4 > contentStart && + events[contentEnd - 2][1].type === 'whitespace')) + ) { + contentEnd -= contentStart + 1 === contentEnd ? 2 : 4 + } + if (contentEnd > contentStart) { + content = { + type: 'atxHeadingText', + start: events[contentStart][1].start, + end: events[contentEnd][1].end + } + text = { + type: 'chunkText', + start: events[contentStart][1].start, + end: events[contentEnd][1].end, + contentType: 'text' + } + splice(events, contentStart, contentEnd - contentStart + 1, [ + ['enter', content, context], + ['enter', text, context], + ['exit', text, context], + ['exit', content, context] + ]) + } + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeHeadingAtx(effects, ok, nok) { + let size = 0 + return start + + /** + * Start of a heading (atx). + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // To do: parse indent like `markdown-rs`. + effects.enter('atxHeading') + return before(code) + } + + /** + * After optional whitespace, at `#`. + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + effects.enter('atxHeadingSequence') + return sequenceOpen(code) + } + + /** + * In opening sequence. + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function sequenceOpen(code) { + if (code === 35 && size++ < 6) { + effects.consume(code) + return sequenceOpen + } + + // Always at least one `#`. + if (code === null || markdownLineEndingOrSpace(code)) { + effects.exit('atxHeadingSequence') + return atBreak(code) + } + return nok(code) + } + + /** + * After something, before something else. + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if (code === 35) { + effects.enter('atxHeadingSequence') + return sequenceFurther(code) + } + if (code === null || markdownLineEnding(code)) { + effects.exit('atxHeading') + // To do: interrupt like `markdown-rs`. + // // Feel free to interrupt. + // tokenizer.interrupt = false + return ok(code) + } + if (markdownSpace(code)) { + return factorySpace(effects, atBreak, 'whitespace')(code) + } + + // To do: generate `data` tokens, add the `text` token later. + // Needs edit map, see: `markdown.rs`. + effects.enter('atxHeadingText') + return data(code) + } + + /** + * In further sequence (after whitespace). + * + * Could be normal “visible” hashes in the heading or a final sequence. + * + * ```markdown + * > | ## aa ## + * ^ + * ``` + * + * @type {State} + */ + function sequenceFurther(code) { + if (code === 35) { + effects.consume(code) + return sequenceFurther + } + effects.exit('atxHeadingSequence') + return atBreak(code) + } + + /** + * In text. + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function data(code) { + if (code === null || code === 35 || markdownLineEndingOrSpace(code)) { + effects.exit('atxHeadingText') + return atBreak(code) + } + effects.consume(code) + return data + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/setext-underline.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const setextUnderline = { + name: 'setextUnderline', + tokenize: tokenizeSetextUnderline, + resolveTo: resolveToSetextUnderline +} + +/** @type {Resolver} */ +function resolveToSetextUnderline(events, context) { + // To do: resolve like `markdown-rs`. + let index = events.length + /** @type {number | undefined} */ + let content + /** @type {number | undefined} */ + let text + /** @type {number | undefined} */ + let definition + + // Find the opening of the content. + // It’ll always exist: we don’t tokenize if it isn’t there. + while (index--) { + if (events[index][0] === 'enter') { + if (events[index][1].type === 'content') { + content = index + break + } + if (events[index][1].type === 'paragraph') { + text = index + } + } + // Exit + else { + if (events[index][1].type === 'content') { + // Remove the content end (if needed we’ll add it later) + events.splice(index, 1) + } + if (!definition && events[index][1].type === 'definition') { + definition = index + } + } + } + const heading = { + type: 'setextHeading', + start: Object.assign({}, events[text][1].start), + end: Object.assign({}, events[events.length - 1][1].end) + } + + // Change the paragraph to setext heading text. + events[text][1].type = 'setextHeadingText' + + // If we have definitions in the content, we’ll keep on having content, + // but we need move it. + if (definition) { + events.splice(text, 0, ['enter', heading, context]) + events.splice(definition + 1, 0, ['exit', events[content][1], context]) + events[content][1].end = Object.assign({}, events[definition][1].end) + } else { + events[content][1] = heading + } + + // Add the heading exit at the end. + events.push(['exit', heading, context]) + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeSetextUnderline(effects, ok, nok) { + const self = this + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * At start of heading (setext) underline. + * + * ```markdown + * | aa + * > | == + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + let index = self.events.length + /** @type {boolean | undefined} */ + let paragraph + // Find an opening. + while (index--) { + // Skip enter/exit of line ending, line prefix, and content. + // We can now either have a definition or a paragraph. + if ( + self.events[index][1].type !== 'lineEnding' && + self.events[index][1].type !== 'linePrefix' && + self.events[index][1].type !== 'content' + ) { + paragraph = self.events[index][1].type === 'paragraph' + break + } + } + + // To do: handle lazy/pierce like `markdown-rs`. + // To do: parse indent like `markdown-rs`. + if (!self.parser.lazy[self.now().line] && (self.interrupt || paragraph)) { + effects.enter('setextHeadingLine') + marker = code + return before(code) + } + return nok(code) + } + + /** + * After optional whitespace, at `-` or `=`. + * + * ```markdown + * | aa + * > | == + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + effects.enter('setextHeadingLineSequence') + return inside(code) + } + + /** + * In sequence. + * + * ```markdown + * | aa + * > | == + * ^ + * ``` + * + * @type {State} + */ + function inside(code) { + if (code === marker) { + effects.consume(code) + return inside + } + effects.exit('setextHeadingLineSequence') + return markdownSpace(code) + ? factorySpace(effects, after, 'lineSuffix')(code) + : after(code) + } + + /** + * After sequence, after optional whitespace. + * + * ```markdown + * | aa + * > | == + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('setextHeadingLine') + return ok(code) + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-html-tag-name/index.js +/** + * List of lowercase HTML “block” tag names. + * + * The list, when parsing HTML (flow), results in more relaxed rules (condition + * 6). + * Because they are known blocks, the HTML-like syntax doesn’t have to be + * strictly parsed. + * For tag names not in this list, a more strict algorithm (condition 7) is used + * to detect whether the HTML-like syntax is seen as HTML (flow) or not. + * + * This is copied from: + * <https://spec.commonmark.org/0.30/#html-blocks>. + * + * > 👉 **Note**: `search` was added in `CommonMark@0.31`. + */ +const htmlBlockNames = [ + 'address', + 'article', + 'aside', + 'base', + 'basefont', + 'blockquote', + 'body', + 'caption', + 'center', + 'col', + 'colgroup', + 'dd', + 'details', + 'dialog', + 'dir', + 'div', + 'dl', + 'dt', + 'fieldset', + 'figcaption', + 'figure', + 'footer', + 'form', + 'frame', + 'frameset', + 'h1', + 'h2', + 'h3', + 'h4', + 'h5', + 'h6', + 'head', + 'header', + 'hr', + 'html', + 'iframe', + 'legend', + 'li', + 'link', + 'main', + 'menu', + 'menuitem', + 'nav', + 'noframes', + 'ol', + 'optgroup', + 'option', + 'p', + 'param', + 'search', + 'section', + 'summary', + 'table', + 'tbody', + 'td', + 'tfoot', + 'th', + 'thead', + 'title', + 'tr', + 'track', + 'ul' +] + +/** + * List of lowercase HTML “raw” tag names. + * + * The list, when parsing HTML (flow), results in HTML that can include lines + * without exiting, until a closing tag also in this list is found (condition + * 1). + * + * This module is copied from: + * <https://spec.commonmark.org/0.30/#html-blocks>. + * + * > 👉 **Note**: `textarea` was added in `CommonMark@0.30`. + */ +const htmlRawNames = ['pre', 'script', 'style', 'textarea'] + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/html-flow.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + + +/** @type {Construct} */ +const htmlFlow = { + name: 'htmlFlow', + tokenize: tokenizeHtmlFlow, + resolveTo: resolveToHtmlFlow, + concrete: true +} + +/** @type {Construct} */ +const blankLineBefore = { + tokenize: tokenizeBlankLineBefore, + partial: true +} +const nonLazyContinuationStart = { + tokenize: tokenizeNonLazyContinuationStart, + partial: true +} + +/** @type {Resolver} */ +function resolveToHtmlFlow(events) { + let index = events.length + while (index--) { + if (events[index][0] === 'enter' && events[index][1].type === 'htmlFlow') { + break + } + } + if (index > 1 && events[index - 2][1].type === 'linePrefix') { + // Add the prefix start to the HTML token. + events[index][1].start = events[index - 2][1].start + // Add the prefix start to the HTML line token. + events[index + 1][1].start = events[index - 2][1].start + // Remove the line prefix. + events.splice(index - 2, 2) + } + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeHtmlFlow(effects, ok, nok) { + const self = this + /** @type {number} */ + let marker + /** @type {boolean} */ + let closingTag + /** @type {string} */ + let buffer + /** @type {number} */ + let index + /** @type {Code} */ + let markerB + return start + + /** + * Start of HTML (flow). + * + * ```markdown + * > | <x /> + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // To do: parse indent like `markdown-rs`. + return before(code) + } + + /** + * At `<`, after optional whitespace. + * + * ```markdown + * > | <x /> + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + effects.enter('htmlFlow') + effects.enter('htmlFlowData') + effects.consume(code) + return open + } + + /** + * After `<`, at tag name or other stuff. + * + * ```markdown + * > | <x /> + * ^ + * > | <!doctype> + * ^ + * > | <!--xxx--> + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (code === 33) { + effects.consume(code) + return declarationOpen + } + if (code === 47) { + effects.consume(code) + closingTag = true + return tagCloseStart + } + if (code === 63) { + effects.consume(code) + marker = 3 + // To do: + // tokenizer.concrete = true + // To do: use `markdown-rs` style interrupt. + // While we’re in an instruction instead of a declaration, we’re on a `?` + // right now, so we do need to search for `>`, similar to declarations. + return self.interrupt ? ok : continuationDeclarationInside + } + + // ASCII alphabetical. + if (asciiAlpha(code)) { + effects.consume(code) + // @ts-expect-error: not null. + buffer = String.fromCharCode(code) + return tagName + } + return nok(code) + } + + /** + * After `<!`, at declaration, comment, or CDATA. + * + * ```markdown + * > | <!doctype> + * ^ + * > | <!--xxx--> + * ^ + * > | <![CDATA[>&<]]> + * ^ + * ``` + * + * @type {State} + */ + function declarationOpen(code) { + if (code === 45) { + effects.consume(code) + marker = 2 + return commentOpenInside + } + if (code === 91) { + effects.consume(code) + marker = 5 + index = 0 + return cdataOpenInside + } + + // ASCII alphabetical. + if (asciiAlpha(code)) { + effects.consume(code) + marker = 4 + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok : continuationDeclarationInside + } + return nok(code) + } + + /** + * After `<!-`, inside a comment, at another `-`. + * + * ```markdown + * > | <!--xxx--> + * ^ + * ``` + * + * @type {State} + */ + function commentOpenInside(code) { + if (code === 45) { + effects.consume(code) + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok : continuationDeclarationInside + } + return nok(code) + } + + /** + * After `<![`, inside CDATA, expecting `CDATA[`. + * + * ```markdown + * > | <![CDATA[>&<]]> + * ^^^^^^ + * ``` + * + * @type {State} + */ + function cdataOpenInside(code) { + const value = 'CDATA[' + if (code === value.charCodeAt(index++)) { + effects.consume(code) + if (index === value.length) { + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok : continuation + } + return cdataOpenInside + } + return nok(code) + } + + /** + * After `</`, in closing tag, at tag name. + * + * ```markdown + * > | </x> + * ^ + * ``` + * + * @type {State} + */ + function tagCloseStart(code) { + if (asciiAlpha(code)) { + effects.consume(code) + // @ts-expect-error: not null. + buffer = String.fromCharCode(code) + return tagName + } + return nok(code) + } + + /** + * In tag name. + * + * ```markdown + * > | <ab> + * ^^ + * > | </ab> + * ^^ + * ``` + * + * @type {State} + */ + function tagName(code) { + if ( + code === null || + code === 47 || + code === 62 || + markdownLineEndingOrSpace(code) + ) { + const slash = code === 47 + const name = buffer.toLowerCase() + if (!slash && !closingTag && htmlRawNames.includes(name)) { + marker = 1 + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok(code) : continuation(code) + } + if (htmlBlockNames.includes(buffer.toLowerCase())) { + marker = 6 + if (slash) { + effects.consume(code) + return basicSelfClosing + } + + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok(code) : continuation(code) + } + marker = 7 + // Do not support complete HTML when interrupting. + return self.interrupt && !self.parser.lazy[self.now().line] + ? nok(code) + : closingTag + ? completeClosingTagAfter(code) + : completeAttributeNameBefore(code) + } + + // ASCII alphanumerical and `-`. + if (code === 45 || asciiAlphanumeric(code)) { + effects.consume(code) + buffer += String.fromCharCode(code) + return tagName + } + return nok(code) + } + + /** + * After closing slash of a basic tag name. + * + * ```markdown + * > | <div/> + * ^ + * ``` + * + * @type {State} + */ + function basicSelfClosing(code) { + if (code === 62) { + effects.consume(code) + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok : continuation + } + return nok(code) + } + + /** + * After closing slash of a complete tag name. + * + * ```markdown + * > | <x/> + * ^ + * ``` + * + * @type {State} + */ + function completeClosingTagAfter(code) { + if (markdownSpace(code)) { + effects.consume(code) + return completeClosingTagAfter + } + return completeEnd(code) + } + + /** + * At an attribute name. + * + * At first, this state is used after a complete tag name, after whitespace, + * where it expects optional attributes or the end of the tag. + * It is also reused after attributes, when expecting more optional + * attributes. + * + * ```markdown + * > | <a /> + * ^ + * > | <a :b> + * ^ + * > | <a _b> + * ^ + * > | <a b> + * ^ + * > | <a > + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeNameBefore(code) { + if (code === 47) { + effects.consume(code) + return completeEnd + } + + // ASCII alphanumerical and `:` and `_`. + if (code === 58 || code === 95 || asciiAlpha(code)) { + effects.consume(code) + return completeAttributeName + } + if (markdownSpace(code)) { + effects.consume(code) + return completeAttributeNameBefore + } + return completeEnd(code) + } + + /** + * In attribute name. + * + * ```markdown + * > | <a :b> + * ^ + * > | <a _b> + * ^ + * > | <a b> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeName(code) { + // ASCII alphanumerical and `-`, `.`, `:`, and `_`. + if ( + code === 45 || + code === 46 || + code === 58 || + code === 95 || + asciiAlphanumeric(code) + ) { + effects.consume(code) + return completeAttributeName + } + return completeAttributeNameAfter(code) + } + + /** + * After attribute name, at an optional initializer, the end of the tag, or + * whitespace. + * + * ```markdown + * > | <a b> + * ^ + * > | <a b=c> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeNameAfter(code) { + if (code === 61) { + effects.consume(code) + return completeAttributeValueBefore + } + if (markdownSpace(code)) { + effects.consume(code) + return completeAttributeNameAfter + } + return completeAttributeNameBefore(code) + } + + /** + * Before unquoted, double quoted, or single quoted attribute value, allowing + * whitespace. + * + * ```markdown + * > | <a b=c> + * ^ + * > | <a b="c"> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeValueBefore(code) { + if ( + code === null || + code === 60 || + code === 61 || + code === 62 || + code === 96 + ) { + return nok(code) + } + if (code === 34 || code === 39) { + effects.consume(code) + markerB = code + return completeAttributeValueQuoted + } + if (markdownSpace(code)) { + effects.consume(code) + return completeAttributeValueBefore + } + return completeAttributeValueUnquoted(code) + } + + /** + * In double or single quoted attribute value. + * + * ```markdown + * > | <a b="c"> + * ^ + * > | <a b='c'> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeValueQuoted(code) { + if (code === markerB) { + effects.consume(code) + markerB = null + return completeAttributeValueQuotedAfter + } + if (code === null || markdownLineEnding(code)) { + return nok(code) + } + effects.consume(code) + return completeAttributeValueQuoted + } + + /** + * In unquoted attribute value. + * + * ```markdown + * > | <a b=c> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeValueUnquoted(code) { + if ( + code === null || + code === 34 || + code === 39 || + code === 47 || + code === 60 || + code === 61 || + code === 62 || + code === 96 || + markdownLineEndingOrSpace(code) + ) { + return completeAttributeNameAfter(code) + } + effects.consume(code) + return completeAttributeValueUnquoted + } + + /** + * After double or single quoted attribute value, before whitespace or the + * end of the tag. + * + * ```markdown + * > | <a b="c"> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeValueQuotedAfter(code) { + if (code === 47 || code === 62 || markdownSpace(code)) { + return completeAttributeNameBefore(code) + } + return nok(code) + } + + /** + * In certain circumstances of a complete tag where only an `>` is allowed. + * + * ```markdown + * > | <a b="c"> + * ^ + * ``` + * + * @type {State} + */ + function completeEnd(code) { + if (code === 62) { + effects.consume(code) + return completeAfter + } + return nok(code) + } + + /** + * After `>` in a complete tag. + * + * ```markdown + * > | <x> + * ^ + * ``` + * + * @type {State} + */ + function completeAfter(code) { + if (code === null || markdownLineEnding(code)) { + // // Do not form containers. + // tokenizer.concrete = true + return continuation(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return completeAfter + } + return nok(code) + } + + /** + * In continuation of any HTML kind. + * + * ```markdown + * > | <!--xxx--> + * ^ + * ``` + * + * @type {State} + */ + function continuation(code) { + if (code === 45 && marker === 2) { + effects.consume(code) + return continuationCommentInside + } + if (code === 60 && marker === 1) { + effects.consume(code) + return continuationRawTagOpen + } + if (code === 62 && marker === 4) { + effects.consume(code) + return continuationClose + } + if (code === 63 && marker === 3) { + effects.consume(code) + return continuationDeclarationInside + } + if (code === 93 && marker === 5) { + effects.consume(code) + return continuationCdataInside + } + if (markdownLineEnding(code) && (marker === 6 || marker === 7)) { + effects.exit('htmlFlowData') + return effects.check( + blankLineBefore, + continuationAfter, + continuationStart + )(code) + } + if (code === null || markdownLineEnding(code)) { + effects.exit('htmlFlowData') + return continuationStart(code) + } + effects.consume(code) + return continuation + } + + /** + * In continuation, at eol. + * + * ```markdown + * > | <x> + * ^ + * | asd + * ``` + * + * @type {State} + */ + function continuationStart(code) { + return effects.check( + nonLazyContinuationStart, + continuationStartNonLazy, + continuationAfter + )(code) + } + + /** + * In continuation, at eol, before non-lazy content. + * + * ```markdown + * > | <x> + * ^ + * | asd + * ``` + * + * @type {State} + */ + function continuationStartNonLazy(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return continuationBefore + } + + /** + * In continuation, before non-lazy content. + * + * ```markdown + * | <x> + * > | asd + * ^ + * ``` + * + * @type {State} + */ + function continuationBefore(code) { + if (code === null || markdownLineEnding(code)) { + return continuationStart(code) + } + effects.enter('htmlFlowData') + return continuation(code) + } + + /** + * In comment continuation, after one `-`, expecting another. + * + * ```markdown + * > | <!--xxx--> + * ^ + * ``` + * + * @type {State} + */ + function continuationCommentInside(code) { + if (code === 45) { + effects.consume(code) + return continuationDeclarationInside + } + return continuation(code) + } + + /** + * In raw continuation, after `<`, at `/`. + * + * ```markdown + * > | <script>console.log(1)</script> + * ^ + * ``` + * + * @type {State} + */ + function continuationRawTagOpen(code) { + if (code === 47) { + effects.consume(code) + buffer = '' + return continuationRawEndTag + } + return continuation(code) + } + + /** + * In raw continuation, after `</`, in a raw tag name. + * + * ```markdown + * > | <script>console.log(1)</script> + * ^^^^^^ + * ``` + * + * @type {State} + */ + function continuationRawEndTag(code) { + if (code === 62) { + const name = buffer.toLowerCase() + if (htmlRawNames.includes(name)) { + effects.consume(code) + return continuationClose + } + return continuation(code) + } + if (asciiAlpha(code) && buffer.length < 8) { + effects.consume(code) + // @ts-expect-error: not null. + buffer += String.fromCharCode(code) + return continuationRawEndTag + } + return continuation(code) + } + + /** + * In cdata continuation, after `]`, expecting `]>`. + * + * ```markdown + * > | <![CDATA[>&<]]> + * ^ + * ``` + * + * @type {State} + */ + function continuationCdataInside(code) { + if (code === 93) { + effects.consume(code) + return continuationDeclarationInside + } + return continuation(code) + } + + /** + * In declaration or instruction continuation, at `>`. + * + * ```markdown + * > | <!--> + * ^ + * > | <?> + * ^ + * > | <!q> + * ^ + * > | <!--ab--> + * ^ + * > | <![CDATA[>&<]]> + * ^ + * ``` + * + * @type {State} + */ + function continuationDeclarationInside(code) { + if (code === 62) { + effects.consume(code) + return continuationClose + } + + // More dashes. + if (code === 45 && marker === 2) { + effects.consume(code) + return continuationDeclarationInside + } + return continuation(code) + } + + /** + * In closed continuation: everything we get until the eol/eof is part of it. + * + * ```markdown + * > | <!doctype> + * ^ + * ``` + * + * @type {State} + */ + function continuationClose(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('htmlFlowData') + return continuationAfter(code) + } + effects.consume(code) + return continuationClose + } + + /** + * Done. + * + * ```markdown + * > | <!doctype> + * ^ + * ``` + * + * @type {State} + */ + function continuationAfter(code) { + effects.exit('htmlFlow') + // // Feel free to interrupt. + // tokenizer.interrupt = false + // // No longer concrete. + // tokenizer.concrete = false + return ok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeNonLazyContinuationStart(effects, ok, nok) { + const self = this + return start + + /** + * At eol, before continuation. + * + * ```markdown + * > | * ```js + * ^ + * | b + * ``` + * + * @type {State} + */ + function start(code) { + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return after + } + return nok(code) + } + + /** + * A continuation. + * + * ```markdown + * | * ```js + * > | b + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + return self.parser.lazy[self.now().line] ? nok(code) : ok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeBlankLineBefore(effects, ok, nok) { + return start + + /** + * Before eol, expecting blank line. + * + * ```markdown + * > | <div> + * ^ + * | + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return effects.attempt(blankLine, ok, nok) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-fenced.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const nonLazyContinuation = { + tokenize: tokenizeNonLazyContinuation, + partial: true +} + +/** @type {Construct} */ +const codeFenced = { + name: 'codeFenced', + tokenize: tokenizeCodeFenced, + concrete: true +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCodeFenced(effects, ok, nok) { + const self = this + /** @type {Construct} */ + const closeStart = { + tokenize: tokenizeCloseStart, + partial: true + } + let initialPrefix = 0 + let sizeOpen = 0 + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * Start of code. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function start(code) { + // To do: parse whitespace like `markdown-rs`. + return beforeSequenceOpen(code) + } + + /** + * In opening fence, after prefix, at sequence. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function beforeSequenceOpen(code) { + const tail = self.events[self.events.length - 1] + initialPrefix = + tail && tail[1].type === 'linePrefix' + ? tail[2].sliceSerialize(tail[1], true).length + : 0 + marker = code + effects.enter('codeFenced') + effects.enter('codeFencedFence') + effects.enter('codeFencedFenceSequence') + return sequenceOpen(code) + } + + /** + * In opening fence sequence. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function sequenceOpen(code) { + if (code === marker) { + sizeOpen++ + effects.consume(code) + return sequenceOpen + } + if (sizeOpen < 3) { + return nok(code) + } + effects.exit('codeFencedFenceSequence') + return markdownSpace(code) + ? factorySpace(effects, infoBefore, 'whitespace')(code) + : infoBefore(code) + } + + /** + * In opening fence, after the sequence (and optional whitespace), before info. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function infoBefore(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('codeFencedFence') + return self.interrupt + ? ok(code) + : effects.check(nonLazyContinuation, atNonLazyBreak, after)(code) + } + effects.enter('codeFencedFenceInfo') + effects.enter('chunkString', { + contentType: 'string' + }) + return info(code) + } + + /** + * In info. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function info(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('chunkString') + effects.exit('codeFencedFenceInfo') + return infoBefore(code) + } + if (markdownSpace(code)) { + effects.exit('chunkString') + effects.exit('codeFencedFenceInfo') + return factorySpace(effects, metaBefore, 'whitespace')(code) + } + if (code === 96 && code === marker) { + return nok(code) + } + effects.consume(code) + return info + } + + /** + * In opening fence, after info and whitespace, before meta. + * + * ```markdown + * > | ~~~js eval + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function metaBefore(code) { + if (code === null || markdownLineEnding(code)) { + return infoBefore(code) + } + effects.enter('codeFencedFenceMeta') + effects.enter('chunkString', { + contentType: 'string' + }) + return meta(code) + } + + /** + * In meta. + * + * ```markdown + * > | ~~~js eval + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function meta(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('chunkString') + effects.exit('codeFencedFenceMeta') + return infoBefore(code) + } + if (code === 96 && code === marker) { + return nok(code) + } + effects.consume(code) + return meta + } + + /** + * At eol/eof in code, before a non-lazy closing fence or content. + * + * ```markdown + * > | ~~~js + * ^ + * > | alert(1) + * ^ + * | ~~~ + * ``` + * + * @type {State} + */ + function atNonLazyBreak(code) { + return effects.attempt(closeStart, after, contentBefore)(code) + } + + /** + * Before code content, not a closing fence, at eol. + * + * ```markdown + * | ~~~js + * > | alert(1) + * ^ + * | ~~~ + * ``` + * + * @type {State} + */ + function contentBefore(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return contentStart + } + + /** + * Before code content, not a closing fence. + * + * ```markdown + * | ~~~js + * > | alert(1) + * ^ + * | ~~~ + * ``` + * + * @type {State} + */ + function contentStart(code) { + return initialPrefix > 0 && markdownSpace(code) + ? factorySpace( + effects, + beforeContentChunk, + 'linePrefix', + initialPrefix + 1 + )(code) + : beforeContentChunk(code) + } + + /** + * Before code content, after optional prefix. + * + * ```markdown + * | ~~~js + * > | alert(1) + * ^ + * | ~~~ + * ``` + * + * @type {State} + */ + function beforeContentChunk(code) { + if (code === null || markdownLineEnding(code)) { + return effects.check(nonLazyContinuation, atNonLazyBreak, after)(code) + } + effects.enter('codeFlowValue') + return contentChunk(code) + } + + /** + * In code content. + * + * ```markdown + * | ~~~js + * > | alert(1) + * ^^^^^^^^ + * | ~~~ + * ``` + * + * @type {State} + */ + function contentChunk(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('codeFlowValue') + return beforeContentChunk(code) + } + effects.consume(code) + return contentChunk + } + + /** + * After code. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + effects.exit('codeFenced') + return ok(code) + } + + /** + * @this {TokenizeContext} + * @type {Tokenizer} + */ + function tokenizeCloseStart(effects, ok, nok) { + let size = 0 + return startBefore + + /** + * + * + * @type {State} + */ + function startBefore(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return start + } + + /** + * Before closing fence, at optional whitespace. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // Always populated by defaults. + + // To do: `enter` here or in next state? + effects.enter('codeFencedFence') + return markdownSpace(code) + ? factorySpace( + effects, + beforeSequenceClose, + 'linePrefix', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + )(code) + : beforeSequenceClose(code) + } + + /** + * In closing fence, after optional whitespace, at sequence. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function beforeSequenceClose(code) { + if (code === marker) { + effects.enter('codeFencedFenceSequence') + return sequenceClose(code) + } + return nok(code) + } + + /** + * In closing fence sequence. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function sequenceClose(code) { + if (code === marker) { + size++ + effects.consume(code) + return sequenceClose + } + if (size >= sizeOpen) { + effects.exit('codeFencedFenceSequence') + return markdownSpace(code) + ? factorySpace(effects, sequenceCloseAfter, 'whitespace')(code) + : sequenceCloseAfter(code) + } + return nok(code) + } + + /** + * After closing fence sequence, after optional whitespace. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function sequenceCloseAfter(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('codeFencedFence') + return ok(code) + } + return nok(code) + } + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeNonLazyContinuation(effects, ok, nok) { + const self = this + return start + + /** + * + * + * @type {State} + */ + function start(code) { + if (code === null) { + return nok(code) + } + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return lineStart + } + + /** + * + * + * @type {State} + */ + function lineStart(code) { + return self.parser.lazy[self.now().line] ? nok(code) : ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/character-entities/index.js +/** + * Map of named character references. + * + * @type {Record<string, string>} + */ +const characterEntities = { + AElig: 'Æ', + AMP: '&', + Aacute: 'Á', + Abreve: 'Ă', + Acirc: 'Â', + Acy: 'А', + Afr: '𝔄', + Agrave: 'À', + Alpha: 'Α', + Amacr: 'Ā', + And: '⩓', + Aogon: 'Ą', + Aopf: '𝔸', + ApplyFunction: '⁡', + Aring: 'Å', + Ascr: '𝒜', + Assign: '≔', + Atilde: 'Ã', + Auml: 'Ä', + Backslash: '∖', + Barv: '⫧', + Barwed: '⌆', + Bcy: 'Б', + Because: '∵', + Bernoullis: 'ℬ', + Beta: 'Β', + Bfr: '𝔅', + Bopf: '𝔹', + Breve: '˘', + Bscr: 'ℬ', + Bumpeq: '≎', + CHcy: 'Ч', + COPY: '©', + Cacute: 'Ć', + Cap: '⋒', + CapitalDifferentialD: 'ⅅ', + Cayleys: 'ℭ', + Ccaron: 'Č', + Ccedil: 'Ç', + Ccirc: 'Ĉ', + Cconint: '∰', + Cdot: 'Ċ', + Cedilla: '¸', + CenterDot: '·', + Cfr: 'ℭ', + Chi: 'Χ', + CircleDot: '⊙', + CircleMinus: '⊖', + CirclePlus: '⊕', + CircleTimes: '⊗', + ClockwiseContourIntegral: '∲', + CloseCurlyDoubleQuote: '”', + CloseCurlyQuote: '’', + Colon: '∷', + Colone: '⩴', + Congruent: '≡', + Conint: '∯', + ContourIntegral: '∮', + Copf: 'ℂ', + Coproduct: '∐', + CounterClockwiseContourIntegral: '∳', + Cross: '⨯', + Cscr: '𝒞', + Cup: '⋓', + CupCap: '≍', + DD: 'ⅅ', + DDotrahd: '⤑', + DJcy: 'Ђ', + DScy: 'Ѕ', + DZcy: 'Џ', + Dagger: '‡', + Darr: '↡', + Dashv: '⫤', + Dcaron: 'Ď', + Dcy: 'Д', + Del: '∇', + Delta: 'Δ', + Dfr: '𝔇', + DiacriticalAcute: '´', + DiacriticalDot: '˙', + DiacriticalDoubleAcute: '˝', + DiacriticalGrave: '`', + DiacriticalTilde: '˜', + Diamond: '⋄', + DifferentialD: 'ⅆ', + Dopf: '𝔻', + Dot: '¨', + DotDot: '⃜', + DotEqual: '≐', + DoubleContourIntegral: '∯', + DoubleDot: '¨', + DoubleDownArrow: '⇓', + DoubleLeftArrow: '⇐', + DoubleLeftRightArrow: '⇔', + DoubleLeftTee: '⫤', + DoubleLongLeftArrow: '⟸', + DoubleLongLeftRightArrow: '⟺', + DoubleLongRightArrow: '⟹', + DoubleRightArrow: '⇒', + DoubleRightTee: '⊨', + DoubleUpArrow: '⇑', + DoubleUpDownArrow: '⇕', + DoubleVerticalBar: '∥', + DownArrow: '↓', + DownArrowBar: '⤓', + DownArrowUpArrow: '⇵', + DownBreve: '̑', + DownLeftRightVector: '⥐', + DownLeftTeeVector: '⥞', + DownLeftVector: '↽', + DownLeftVectorBar: '⥖', + DownRightTeeVector: '⥟', + DownRightVector: '⇁', + DownRightVectorBar: '⥗', + DownTee: '⊤', + DownTeeArrow: '↧', + Downarrow: '⇓', + Dscr: '𝒟', + Dstrok: 'Đ', + ENG: 'Ŋ', + ETH: 'Ð', + Eacute: 'É', + Ecaron: 'Ě', + Ecirc: 'Ê', + Ecy: 'Э', + Edot: 'Ė', + Efr: '𝔈', + Egrave: 'È', + Element: '∈', + Emacr: 'Ē', + EmptySmallSquare: '◻', + EmptyVerySmallSquare: '▫', + Eogon: 'Ę', + Eopf: '𝔼', + Epsilon: 'Ε', + Equal: '⩵', + EqualTilde: '≂', + Equilibrium: '⇌', + Escr: 'ℰ', + Esim: '⩳', + Eta: 'Η', + Euml: 'Ë', + Exists: '∃', + ExponentialE: 'ⅇ', + Fcy: 'Ф', + Ffr: '𝔉', + FilledSmallSquare: '◼', + FilledVerySmallSquare: '▪', + Fopf: '𝔽', + ForAll: '∀', + Fouriertrf: 'ℱ', + Fscr: 'ℱ', + GJcy: 'Ѓ', + GT: '>', + Gamma: 'Γ', + Gammad: 'Ϝ', + Gbreve: 'Ğ', + Gcedil: 'Ģ', + Gcirc: 'Ĝ', + Gcy: 'Г', + Gdot: 'Ġ', + Gfr: '𝔊', + Gg: '⋙', + Gopf: '𝔾', + GreaterEqual: '≥', + GreaterEqualLess: '⋛', + GreaterFullEqual: '≧', + GreaterGreater: '⪢', + GreaterLess: '≷', + GreaterSlantEqual: '⩾', + GreaterTilde: '≳', + Gscr: '𝒢', + Gt: '≫', + HARDcy: 'Ъ', + Hacek: 'ˇ', + Hat: '^', + Hcirc: 'Ĥ', + Hfr: 'ℌ', + HilbertSpace: 'ℋ', + Hopf: 'ℍ', + HorizontalLine: '─', + Hscr: 'ℋ', + Hstrok: 'Ħ', + HumpDownHump: '≎', + HumpEqual: '≏', + IEcy: 'Е', + IJlig: 'IJ', + IOcy: 'Ё', + Iacute: 'Í', + Icirc: 'Î', + Icy: 'И', + Idot: 'İ', + Ifr: 'ℑ', + Igrave: 'Ì', + Im: 'ℑ', + Imacr: 'Ī', + ImaginaryI: 'ⅈ', + Implies: '⇒', + Int: '∬', + Integral: '∫', + Intersection: '⋂', + InvisibleComma: '⁣', + InvisibleTimes: '⁢', + Iogon: 'Į', + Iopf: '𝕀', + Iota: 'Ι', + Iscr: 'ℐ', + Itilde: 'Ĩ', + Iukcy: 'І', + Iuml: 'Ï', + Jcirc: 'Ĵ', + Jcy: 'Й', + Jfr: '𝔍', + Jopf: '𝕁', + Jscr: '𝒥', + Jsercy: 'Ј', + Jukcy: 'Є', + KHcy: 'Х', + KJcy: 'Ќ', + Kappa: 'Κ', + Kcedil: 'Ķ', + Kcy: 'К', + Kfr: '𝔎', + Kopf: '𝕂', + Kscr: '𝒦', + LJcy: 'Љ', + LT: '<', + Lacute: 'Ĺ', + Lambda: 'Λ', + Lang: '⟪', + Laplacetrf: 'ℒ', + Larr: '↞', + Lcaron: 'Ľ', + Lcedil: 'Ļ', + Lcy: 'Л', + LeftAngleBracket: '⟨', + LeftArrow: '←', + LeftArrowBar: '⇤', + LeftArrowRightArrow: '⇆', + LeftCeiling: '⌈', + LeftDoubleBracket: '⟦', + LeftDownTeeVector: '⥡', + LeftDownVector: '⇃', + LeftDownVectorBar: '⥙', + LeftFloor: '⌊', + LeftRightArrow: '↔', + LeftRightVector: '⥎', + LeftTee: '⊣', + LeftTeeArrow: '↤', + LeftTeeVector: '⥚', + LeftTriangle: '⊲', + LeftTriangleBar: '⧏', + LeftTriangleEqual: '⊴', + LeftUpDownVector: '⥑', + LeftUpTeeVector: '⥠', + LeftUpVector: '↿', + LeftUpVectorBar: '⥘', + LeftVector: '↼', + LeftVectorBar: '⥒', + Leftarrow: '⇐', + Leftrightarrow: '⇔', + LessEqualGreater: '⋚', + LessFullEqual: '≦', + LessGreater: '≶', + LessLess: '⪡', + LessSlantEqual: '⩽', + LessTilde: '≲', + Lfr: '𝔏', + Ll: '⋘', + Lleftarrow: '⇚', + Lmidot: 'Ŀ', + LongLeftArrow: '⟵', + LongLeftRightArrow: '⟷', + LongRightArrow: '⟶', + Longleftarrow: '⟸', + Longleftrightarrow: '⟺', + Longrightarrow: '⟹', + Lopf: '𝕃', + LowerLeftArrow: '↙', + LowerRightArrow: '↘', + Lscr: 'ℒ', + Lsh: '↰', + Lstrok: 'Ł', + Lt: '≪', + Map: '⤅', + Mcy: 'М', + MediumSpace: ' ', + Mellintrf: 'ℳ', + Mfr: '𝔐', + MinusPlus: '∓', + Mopf: '𝕄', + Mscr: 'ℳ', + Mu: 'Μ', + NJcy: 'Њ', + Nacute: 'Ń', + Ncaron: 'Ň', + Ncedil: 'Ņ', + Ncy: 'Н', + NegativeMediumSpace: '​', + NegativeThickSpace: '​', + NegativeThinSpace: '​', + NegativeVeryThinSpace: '​', + NestedGreaterGreater: '≫', + NestedLessLess: '≪', + NewLine: '\n', + Nfr: '𝔑', + NoBreak: '⁠', + NonBreakingSpace: ' ', + Nopf: 'ℕ', + Not: '⫬', + NotCongruent: '≢', + NotCupCap: '≭', + NotDoubleVerticalBar: '∦', + NotElement: '∉', + NotEqual: '≠', + NotEqualTilde: '≂̸', + NotExists: '∄', + NotGreater: '≯', + NotGreaterEqual: '≱', + NotGreaterFullEqual: '≧̸', + NotGreaterGreater: '≫̸', + NotGreaterLess: '≹', + NotGreaterSlantEqual: '⩾̸', + NotGreaterTilde: '≵', + NotHumpDownHump: '≎̸', + NotHumpEqual: '≏̸', + NotLeftTriangle: '⋪', + NotLeftTriangleBar: '⧏̸', + NotLeftTriangleEqual: '⋬', + NotLess: '≮', + NotLessEqual: '≰', + NotLessGreater: '≸', + NotLessLess: '≪̸', + NotLessSlantEqual: '⩽̸', + NotLessTilde: '≴', + NotNestedGreaterGreater: '⪢̸', + NotNestedLessLess: '⪡̸', + NotPrecedes: '⊀', + NotPrecedesEqual: '⪯̸', + NotPrecedesSlantEqual: '⋠', + NotReverseElement: '∌', + NotRightTriangle: '⋫', + NotRightTriangleBar: '⧐̸', + NotRightTriangleEqual: '⋭', + NotSquareSubset: '⊏̸', + NotSquareSubsetEqual: '⋢', + NotSquareSuperset: '⊐̸', + NotSquareSupersetEqual: '⋣', + NotSubset: '⊂⃒', + NotSubsetEqual: '⊈', + NotSucceeds: '⊁', + NotSucceedsEqual: '⪰̸', + NotSucceedsSlantEqual: '⋡', + NotSucceedsTilde: '≿̸', + NotSuperset: '⊃⃒', + NotSupersetEqual: '⊉', + NotTilde: '≁', + NotTildeEqual: '≄', + NotTildeFullEqual: '≇', + NotTildeTilde: '≉', + NotVerticalBar: '∤', + Nscr: '𝒩', + Ntilde: 'Ñ', + Nu: 'Ν', + OElig: 'Œ', + Oacute: 'Ó', + Ocirc: 'Ô', + Ocy: 'О', + Odblac: 'Ő', + Ofr: '𝔒', + Ograve: 'Ò', + Omacr: 'Ō', + Omega: 'Ω', + Omicron: 'Ο', + Oopf: '𝕆', + OpenCurlyDoubleQuote: '“', + OpenCurlyQuote: '‘', + Or: '⩔', + Oscr: '𝒪', + Oslash: 'Ø', + Otilde: 'Õ', + Otimes: '⨷', + Ouml: 'Ö', + OverBar: '‾', + OverBrace: '⏞', + OverBracket: '⎴', + OverParenthesis: '⏜', + PartialD: '∂', + Pcy: 'П', + Pfr: '𝔓', + Phi: 'Φ', + Pi: 'Π', + PlusMinus: '±', + Poincareplane: 'ℌ', + Popf: 'ℙ', + Pr: '⪻', + Precedes: '≺', + PrecedesEqual: '⪯', + PrecedesSlantEqual: '≼', + PrecedesTilde: '≾', + Prime: '″', + Product: '∏', + Proportion: '∷', + Proportional: '∝', + Pscr: '𝒫', + Psi: 'Ψ', + QUOT: '"', + Qfr: '𝔔', + Qopf: 'ℚ', + Qscr: '𝒬', + RBarr: '⤐', + REG: '®', + Racute: 'Ŕ', + Rang: '⟫', + Rarr: '↠', + Rarrtl: '⤖', + Rcaron: 'Ř', + Rcedil: 'Ŗ', + Rcy: 'Р', + Re: 'ℜ', + ReverseElement: '∋', + ReverseEquilibrium: '⇋', + ReverseUpEquilibrium: '⥯', + Rfr: 'ℜ', + Rho: 'Ρ', + RightAngleBracket: '⟩', + RightArrow: '→', + RightArrowBar: '⇥', + RightArrowLeftArrow: '⇄', + RightCeiling: '⌉', + RightDoubleBracket: '⟧', + RightDownTeeVector: '⥝', + RightDownVector: '⇂', + RightDownVectorBar: '⥕', + RightFloor: '⌋', + RightTee: '⊢', + RightTeeArrow: '↦', + RightTeeVector: '⥛', + RightTriangle: '⊳', + RightTriangleBar: '⧐', + RightTriangleEqual: '⊵', + RightUpDownVector: '⥏', + RightUpTeeVector: '⥜', + RightUpVector: '↾', + RightUpVectorBar: '⥔', + RightVector: '⇀', + RightVectorBar: '⥓', + Rightarrow: '⇒', + Ropf: 'ℝ', + RoundImplies: '⥰', + Rrightarrow: '⇛', + Rscr: 'ℛ', + Rsh: '↱', + RuleDelayed: '⧴', + SHCHcy: 'Щ', + SHcy: 'Ш', + SOFTcy: 'Ь', + Sacute: 'Ś', + Sc: '⪼', + Scaron: 'Š', + Scedil: 'Ş', + Scirc: 'Ŝ', + Scy: 'С', + Sfr: '𝔖', + ShortDownArrow: '↓', + ShortLeftArrow: '←', + ShortRightArrow: '→', + ShortUpArrow: '↑', + Sigma: 'Σ', + SmallCircle: '∘', + Sopf: '𝕊', + Sqrt: '√', + Square: '□', + SquareIntersection: '⊓', + SquareSubset: '⊏', + SquareSubsetEqual: '⊑', + SquareSuperset: '⊐', + SquareSupersetEqual: '⊒', + SquareUnion: '⊔', + Sscr: '𝒮', + Star: '⋆', + Sub: '⋐', + Subset: '⋐', + SubsetEqual: '⊆', + Succeeds: '≻', + SucceedsEqual: '⪰', + SucceedsSlantEqual: '≽', + SucceedsTilde: '≿', + SuchThat: '∋', + Sum: '∑', + Sup: '⋑', + Superset: '⊃', + SupersetEqual: '⊇', + Supset: '⋑', + THORN: 'Þ', + TRADE: '™', + TSHcy: 'Ћ', + TScy: 'Ц', + Tab: '\t', + Tau: 'Τ', + Tcaron: 'Ť', + Tcedil: 'Ţ', + Tcy: 'Т', + Tfr: '𝔗', + Therefore: '∴', + Theta: 'Θ', + ThickSpace: '  ', + ThinSpace: ' ', + Tilde: '∼', + TildeEqual: '≃', + TildeFullEqual: '≅', + TildeTilde: '≈', + Topf: '𝕋', + TripleDot: '⃛', + Tscr: '𝒯', + Tstrok: 'Ŧ', + Uacute: 'Ú', + Uarr: '↟', + Uarrocir: '⥉', + Ubrcy: 'Ў', + Ubreve: 'Ŭ', + Ucirc: 'Û', + Ucy: 'У', + Udblac: 'Ű', + Ufr: '𝔘', + Ugrave: 'Ù', + Umacr: 'Ū', + UnderBar: '_', + UnderBrace: '⏟', + UnderBracket: '⎵', + UnderParenthesis: '⏝', + Union: '⋃', + UnionPlus: '⊎', + Uogon: 'Ų', + Uopf: '𝕌', + UpArrow: '↑', + UpArrowBar: '⤒', + UpArrowDownArrow: '⇅', + UpDownArrow: '↕', + UpEquilibrium: '⥮', + UpTee: '⊥', + UpTeeArrow: '↥', + Uparrow: '⇑', + Updownarrow: '⇕', + UpperLeftArrow: '↖', + UpperRightArrow: '↗', + Upsi: 'ϒ', + Upsilon: 'Υ', + Uring: 'Ů', + Uscr: '𝒰', + Utilde: 'Ũ', + Uuml: 'Ü', + VDash: '⊫', + Vbar: '⫫', + Vcy: 'В', + Vdash: '⊩', + Vdashl: '⫦', + Vee: '⋁', + Verbar: '‖', + Vert: '‖', + VerticalBar: '∣', + VerticalLine: '|', + VerticalSeparator: '❘', + VerticalTilde: '≀', + VeryThinSpace: ' ', + Vfr: '𝔙', + Vopf: '𝕍', + Vscr: '𝒱', + Vvdash: '⊪', + Wcirc: 'Ŵ', + Wedge: '⋀', + Wfr: '𝔚', + Wopf: '𝕎', + Wscr: '𝒲', + Xfr: '𝔛', + Xi: 'Ξ', + Xopf: '𝕏', + Xscr: '𝒳', + YAcy: 'Я', + YIcy: 'Ї', + YUcy: 'Ю', + Yacute: 'Ý', + Ycirc: 'Ŷ', + Ycy: 'Ы', + Yfr: '𝔜', + Yopf: '𝕐', + Yscr: '𝒴', + Yuml: 'Ÿ', + ZHcy: 'Ж', + Zacute: 'Ź', + Zcaron: 'Ž', + Zcy: 'З', + Zdot: 'Ż', + ZeroWidthSpace: '​', + Zeta: 'Ζ', + Zfr: 'ℨ', + Zopf: 'ℤ', + Zscr: '𝒵', + aacute: 'á', + abreve: 'ă', + ac: '∾', + acE: '∾̳', + acd: '∿', + acirc: 'â', + acute: '´', + acy: 'а', + aelig: 'æ', + af: '⁡', + afr: '𝔞', + agrave: 'à', + alefsym: 'ℵ', + aleph: 'ℵ', + alpha: 'α', + amacr: 'ā', + amalg: '⨿', + amp: '&', + and: '∧', + andand: '⩕', + andd: '⩜', + andslope: '⩘', + andv: '⩚', + ang: '∠', + ange: '⦤', + angle: '∠', + angmsd: '∡', + angmsdaa: '⦨', + angmsdab: '⦩', + angmsdac: '⦪', + angmsdad: '⦫', + angmsdae: '⦬', + angmsdaf: '⦭', + angmsdag: '⦮', + angmsdah: '⦯', + angrt: '∟', + angrtvb: '⊾', + angrtvbd: '⦝', + angsph: '∢', + angst: 'Å', + angzarr: '⍼', + aogon: 'ą', + aopf: '𝕒', + ap: '≈', + apE: '⩰', + apacir: '⩯', + ape: '≊', + apid: '≋', + apos: "'", + approx: '≈', + approxeq: '≊', + aring: 'å', + ascr: '𝒶', + ast: '*', + asymp: '≈', + asympeq: '≍', + atilde: 'ã', + auml: 'ä', + awconint: '∳', + awint: '⨑', + bNot: '⫭', + backcong: '≌', + backepsilon: '϶', + backprime: '‵', + backsim: '∽', + backsimeq: '⋍', + barvee: '⊽', + barwed: '⌅', + barwedge: '⌅', + bbrk: '⎵', + bbrktbrk: '⎶', + bcong: '≌', + bcy: 'б', + bdquo: '„', + becaus: '∵', + because: '∵', + bemptyv: '⦰', + bepsi: '϶', + bernou: 'ℬ', + beta: 'β', + beth: 'ℶ', + between: '≬', + bfr: '𝔟', + bigcap: '⋂', + bigcirc: '◯', + bigcup: '⋃', + bigodot: '⨀', + bigoplus: '⨁', + bigotimes: '⨂', + bigsqcup: '⨆', + bigstar: '★', + bigtriangledown: '▽', + bigtriangleup: '△', + biguplus: '⨄', + bigvee: '⋁', + bigwedge: '⋀', + bkarow: '⤍', + blacklozenge: '⧫', + blacksquare: '▪', + blacktriangle: '▴', + blacktriangledown: '▾', + blacktriangleleft: '◂', + blacktriangleright: '▸', + blank: '␣', + blk12: '▒', + blk14: '░', + blk34: '▓', + block: '█', + bne: '=⃥', + bnequiv: '≡⃥', + bnot: '⌐', + bopf: '𝕓', + bot: '⊥', + bottom: '⊥', + bowtie: '⋈', + boxDL: '╗', + boxDR: '╔', + boxDl: '╖', + boxDr: '╓', + boxH: '═', + boxHD: '╦', + boxHU: '╩', + boxHd: '╤', + boxHu: '╧', + boxUL: '╝', + boxUR: '╚', + boxUl: '╜', + boxUr: '╙', + boxV: '║', + boxVH: '╬', + boxVL: '╣', + boxVR: '╠', + boxVh: '╫', + boxVl: '╢', + boxVr: '╟', + boxbox: '⧉', + boxdL: '╕', + boxdR: '╒', + boxdl: '┐', + boxdr: '┌', + boxh: '─', + boxhD: '╥', + boxhU: '╨', + boxhd: '┬', + boxhu: '┴', + boxminus: '⊟', + boxplus: '⊞', + boxtimes: '⊠', + boxuL: '╛', + boxuR: '╘', + boxul: '┘', + boxur: '└', + boxv: '│', + boxvH: '╪', + boxvL: '╡', + boxvR: '╞', + boxvh: '┼', + boxvl: '┤', + boxvr: '├', + bprime: '‵', + breve: '˘', + brvbar: '¦', + bscr: '𝒷', + bsemi: '⁏', + bsim: '∽', + bsime: '⋍', + bsol: '\\', + bsolb: '⧅', + bsolhsub: '⟈', + bull: '•', + bullet: '•', + bump: '≎', + bumpE: '⪮', + bumpe: '≏', + bumpeq: '≏', + cacute: 'ć', + cap: '∩', + capand: '⩄', + capbrcup: '⩉', + capcap: '⩋', + capcup: '⩇', + capdot: '⩀', + caps: '∩︀', + caret: '⁁', + caron: 'ˇ', + ccaps: '⩍', + ccaron: 'č', + ccedil: 'ç', + ccirc: 'ĉ', + ccups: '⩌', + ccupssm: '⩐', + cdot: 'ċ', + cedil: '¸', + cemptyv: '⦲', + cent: '¢', + centerdot: '·', + cfr: '𝔠', + chcy: 'ч', + check: '✓', + checkmark: '✓', + chi: 'χ', + cir: '○', + cirE: '⧃', + circ: 'ˆ', + circeq: '≗', + circlearrowleft: '↺', + circlearrowright: '↻', + circledR: '®', + circledS: 'Ⓢ', + circledast: '⊛', + circledcirc: '⊚', + circleddash: '⊝', + cire: '≗', + cirfnint: '⨐', + cirmid: '⫯', + cirscir: '⧂', + clubs: '♣', + clubsuit: '♣', + colon: ':', + colone: '≔', + coloneq: '≔', + comma: ',', + commat: '@', + comp: '∁', + compfn: '∘', + complement: '∁', + complexes: 'ℂ', + cong: '≅', + congdot: '⩭', + conint: '∮', + copf: '𝕔', + coprod: '∐', + copy: '©', + copysr: '℗', + crarr: '↵', + cross: '✗', + cscr: '𝒸', + csub: '⫏', + csube: '⫑', + csup: '⫐', + csupe: '⫒', + ctdot: '⋯', + cudarrl: '⤸', + cudarrr: '⤵', + cuepr: '⋞', + cuesc: '⋟', + cularr: '↶', + cularrp: '⤽', + cup: '∪', + cupbrcap: '⩈', + cupcap: '⩆', + cupcup: '⩊', + cupdot: '⊍', + cupor: '⩅', + cups: '∪︀', + curarr: '↷', + curarrm: '⤼', + curlyeqprec: '⋞', + curlyeqsucc: '⋟', + curlyvee: '⋎', + curlywedge: '⋏', + curren: '¤', + curvearrowleft: '↶', + curvearrowright: '↷', + cuvee: '⋎', + cuwed: '⋏', + cwconint: '∲', + cwint: '∱', + cylcty: '⌭', + dArr: '⇓', + dHar: '⥥', + dagger: '†', + daleth: 'ℸ', + darr: '↓', + dash: '‐', + dashv: '⊣', + dbkarow: '⤏', + dblac: '˝', + dcaron: 'ď', + dcy: 'д', + dd: 'ⅆ', + ddagger: '‡', + ddarr: '⇊', + ddotseq: '⩷', + deg: '°', + delta: 'δ', + demptyv: '⦱', + dfisht: '⥿', + dfr: '𝔡', + dharl: '⇃', + dharr: '⇂', + diam: '⋄', + diamond: '⋄', + diamondsuit: '♦', + diams: '♦', + die: '¨', + digamma: 'ϝ', + disin: '⋲', + div: '÷', + divide: '÷', + divideontimes: '⋇', + divonx: '⋇', + djcy: 'ђ', + dlcorn: '⌞', + dlcrop: '⌍', + dollar: '$', + dopf: '𝕕', + dot: '˙', + doteq: '≐', + doteqdot: '≑', + dotminus: '∸', + dotplus: '∔', + dotsquare: '⊡', + doublebarwedge: '⌆', + downarrow: '↓', + downdownarrows: '⇊', + downharpoonleft: '⇃', + downharpoonright: '⇂', + drbkarow: '⤐', + drcorn: '⌟', + drcrop: '⌌', + dscr: '𝒹', + dscy: 'ѕ', + dsol: '⧶', + dstrok: 'đ', + dtdot: '⋱', + dtri: '▿', + dtrif: '▾', + duarr: '⇵', + duhar: '⥯', + dwangle: '⦦', + dzcy: 'џ', + dzigrarr: '⟿', + eDDot: '⩷', + eDot: '≑', + eacute: 'é', + easter: '⩮', + ecaron: 'ě', + ecir: '≖', + ecirc: 'ê', + ecolon: '≕', + ecy: 'э', + edot: 'ė', + ee: 'ⅇ', + efDot: '≒', + efr: '𝔢', + eg: '⪚', + egrave: 'è', + egs: '⪖', + egsdot: '⪘', + el: '⪙', + elinters: '⏧', + ell: 'ℓ', + els: '⪕', + elsdot: '⪗', + emacr: 'ē', + empty: '∅', + emptyset: '∅', + emptyv: '∅', + emsp13: ' ', + emsp14: ' ', + emsp: ' ', + eng: 'ŋ', + ensp: ' ', + eogon: 'ę', + eopf: '𝕖', + epar: '⋕', + eparsl: '⧣', + eplus: '⩱', + epsi: 'ε', + epsilon: 'ε', + epsiv: 'ϵ', + eqcirc: '≖', + eqcolon: '≕', + eqsim: '≂', + eqslantgtr: '⪖', + eqslantless: '⪕', + equals: '=', + equest: '≟', + equiv: '≡', + equivDD: '⩸', + eqvparsl: '⧥', + erDot: '≓', + erarr: '⥱', + escr: 'ℯ', + esdot: '≐', + esim: '≂', + eta: 'η', + eth: 'ð', + euml: 'ë', + euro: '€', + excl: '!', + exist: '∃', + expectation: 'ℰ', + exponentiale: 'ⅇ', + fallingdotseq: '≒', + fcy: 'ф', + female: '♀', + ffilig: 'ffi', + fflig: 'ff', + ffllig: 'ffl', + ffr: '𝔣', + filig: 'fi', + fjlig: 'fj', + flat: '♭', + fllig: 'fl', + fltns: '▱', + fnof: 'ƒ', + fopf: '𝕗', + forall: '∀', + fork: '⋔', + forkv: '⫙', + fpartint: '⨍', + frac12: '½', + frac13: '⅓', + frac14: '¼', + frac15: '⅕', + frac16: '⅙', + frac18: '⅛', + frac23: '⅔', + frac25: '⅖', + frac34: '¾', + frac35: '⅗', + frac38: '⅜', + frac45: '⅘', + frac56: '⅚', + frac58: '⅝', + frac78: '⅞', + frasl: '⁄', + frown: '⌢', + fscr: '𝒻', + gE: '≧', + gEl: '⪌', + gacute: 'ǵ', + gamma: 'γ', + gammad: 'ϝ', + gap: '⪆', + gbreve: 'ğ', + gcirc: 'ĝ', + gcy: 'г', + gdot: 'ġ', + ge: '≥', + gel: '⋛', + geq: '≥', + geqq: '≧', + geqslant: '⩾', + ges: '⩾', + gescc: '⪩', + gesdot: '⪀', + gesdoto: '⪂', + gesdotol: '⪄', + gesl: '⋛︀', + gesles: '⪔', + gfr: '𝔤', + gg: '≫', + ggg: '⋙', + gimel: 'ℷ', + gjcy: 'ѓ', + gl: '≷', + glE: '⪒', + gla: '⪥', + glj: '⪤', + gnE: '≩', + gnap: '⪊', + gnapprox: '⪊', + gne: '⪈', + gneq: '⪈', + gneqq: '≩', + gnsim: '⋧', + gopf: '𝕘', + grave: '`', + gscr: 'ℊ', + gsim: '≳', + gsime: '⪎', + gsiml: '⪐', + gt: '>', + gtcc: '⪧', + gtcir: '⩺', + gtdot: '⋗', + gtlPar: '⦕', + gtquest: '⩼', + gtrapprox: '⪆', + gtrarr: '⥸', + gtrdot: '⋗', + gtreqless: '⋛', + gtreqqless: '⪌', + gtrless: '≷', + gtrsim: '≳', + gvertneqq: '≩︀', + gvnE: '≩︀', + hArr: '⇔', + hairsp: ' ', + half: '½', + hamilt: 'ℋ', + hardcy: 'ъ', + harr: '↔', + harrcir: '⥈', + harrw: '↭', + hbar: 'ℏ', + hcirc: 'ĥ', + hearts: '♥', + heartsuit: '♥', + hellip: '…', + hercon: '⊹', + hfr: '𝔥', + hksearow: '⤥', + hkswarow: '⤦', + hoarr: '⇿', + homtht: '∻', + hookleftarrow: '↩', + hookrightarrow: '↪', + hopf: '𝕙', + horbar: '―', + hscr: '𝒽', + hslash: 'ℏ', + hstrok: 'ħ', + hybull: '⁃', + hyphen: '‐', + iacute: 'í', + ic: '⁣', + icirc: 'î', + icy: 'и', + iecy: 'е', + iexcl: '¡', + iff: '⇔', + ifr: '𝔦', + igrave: 'ì', + ii: 'ⅈ', + iiiint: '⨌', + iiint: '∭', + iinfin: '⧜', + iiota: '℩', + ijlig: 'ij', + imacr: 'ī', + image: 'ℑ', + imagline: 'ℐ', + imagpart: 'ℑ', + imath: 'ı', + imof: '⊷', + imped: 'Ƶ', + in: '∈', + incare: '℅', + infin: '∞', + infintie: '⧝', + inodot: 'ı', + int: '∫', + intcal: '⊺', + integers: 'ℤ', + intercal: '⊺', + intlarhk: '⨗', + intprod: '⨼', + iocy: 'ё', + iogon: 'į', + iopf: '𝕚', + iota: 'ι', + iprod: '⨼', + iquest: '¿', + iscr: '𝒾', + isin: '∈', + isinE: '⋹', + isindot: '⋵', + isins: '⋴', + isinsv: '⋳', + isinv: '∈', + it: '⁢', + itilde: 'ĩ', + iukcy: 'і', + iuml: 'ï', + jcirc: 'ĵ', + jcy: 'й', + jfr: '𝔧', + jmath: 'ȷ', + jopf: '𝕛', + jscr: '𝒿', + jsercy: 'ј', + jukcy: 'є', + kappa: 'κ', + kappav: 'ϰ', + kcedil: 'ķ', + kcy: 'к', + kfr: '𝔨', + kgreen: 'ĸ', + khcy: 'х', + kjcy: 'ќ', + kopf: '𝕜', + kscr: '𝓀', + lAarr: '⇚', + lArr: '⇐', + lAtail: '⤛', + lBarr: '⤎', + lE: '≦', + lEg: '⪋', + lHar: '⥢', + lacute: 'ĺ', + laemptyv: '⦴', + lagran: 'ℒ', + lambda: 'λ', + lang: '⟨', + langd: '⦑', + langle: '⟨', + lap: '⪅', + laquo: '«', + larr: '←', + larrb: '⇤', + larrbfs: '⤟', + larrfs: '⤝', + larrhk: '↩', + larrlp: '↫', + larrpl: '⤹', + larrsim: '⥳', + larrtl: '↢', + lat: '⪫', + latail: '⤙', + late: '⪭', + lates: '⪭︀', + lbarr: '⤌', + lbbrk: '❲', + lbrace: '{', + lbrack: '[', + lbrke: '⦋', + lbrksld: '⦏', + lbrkslu: '⦍', + lcaron: 'ľ', + lcedil: 'ļ', + lceil: '⌈', + lcub: '{', + lcy: 'л', + ldca: '⤶', + ldquo: '“', + ldquor: '„', + ldrdhar: '⥧', + ldrushar: '⥋', + ldsh: '↲', + le: '≤', + leftarrow: '←', + leftarrowtail: '↢', + leftharpoondown: '↽', + leftharpoonup: '↼', + leftleftarrows: '⇇', + leftrightarrow: '↔', + leftrightarrows: '⇆', + leftrightharpoons: '⇋', + leftrightsquigarrow: '↭', + leftthreetimes: '⋋', + leg: '⋚', + leq: '≤', + leqq: '≦', + leqslant: '⩽', + les: '⩽', + lescc: '⪨', + lesdot: '⩿', + lesdoto: '⪁', + lesdotor: '⪃', + lesg: '⋚︀', + lesges: '⪓', + lessapprox: '⪅', + lessdot: '⋖', + lesseqgtr: '⋚', + lesseqqgtr: '⪋', + lessgtr: '≶', + lesssim: '≲', + lfisht: '⥼', + lfloor: '⌊', + lfr: '𝔩', + lg: '≶', + lgE: '⪑', + lhard: '↽', + lharu: '↼', + lharul: '⥪', + lhblk: '▄', + ljcy: 'љ', + ll: '≪', + llarr: '⇇', + llcorner: '⌞', + llhard: '⥫', + lltri: '◺', + lmidot: 'ŀ', + lmoust: '⎰', + lmoustache: '⎰', + lnE: '≨', + lnap: '⪉', + lnapprox: '⪉', + lne: '⪇', + lneq: '⪇', + lneqq: '≨', + lnsim: '⋦', + loang: '⟬', + loarr: '⇽', + lobrk: '⟦', + longleftarrow: '⟵', + longleftrightarrow: '⟷', + longmapsto: '⟼', + longrightarrow: '⟶', + looparrowleft: '↫', + looparrowright: '↬', + lopar: '⦅', + lopf: '𝕝', + loplus: '⨭', + lotimes: '⨴', + lowast: '∗', + lowbar: '_', + loz: '◊', + lozenge: '◊', + lozf: '⧫', + lpar: '(', + lparlt: '⦓', + lrarr: '⇆', + lrcorner: '⌟', + lrhar: '⇋', + lrhard: '⥭', + lrm: '‎', + lrtri: '⊿', + lsaquo: '‹', + lscr: '𝓁', + lsh: '↰', + lsim: '≲', + lsime: '⪍', + lsimg: '⪏', + lsqb: '[', + lsquo: '‘', + lsquor: '‚', + lstrok: 'ł', + lt: '<', + ltcc: '⪦', + ltcir: '⩹', + ltdot: '⋖', + lthree: '⋋', + ltimes: '⋉', + ltlarr: '⥶', + ltquest: '⩻', + ltrPar: '⦖', + ltri: '◃', + ltrie: '⊴', + ltrif: '◂', + lurdshar: '⥊', + luruhar: '⥦', + lvertneqq: '≨︀', + lvnE: '≨︀', + mDDot: '∺', + macr: '¯', + male: '♂', + malt: '✠', + maltese: '✠', + map: '↦', + mapsto: '↦', + mapstodown: '↧', + mapstoleft: '↤', + mapstoup: '↥', + marker: '▮', + mcomma: '⨩', + mcy: 'м', + mdash: '—', + measuredangle: '∡', + mfr: '𝔪', + mho: '℧', + micro: 'µ', + mid: '∣', + midast: '*', + midcir: '⫰', + middot: '·', + minus: '−', + minusb: '⊟', + minusd: '∸', + minusdu: '⨪', + mlcp: '⫛', + mldr: '…', + mnplus: '∓', + models: '⊧', + mopf: '𝕞', + mp: '∓', + mscr: '𝓂', + mstpos: '∾', + mu: 'μ', + multimap: '⊸', + mumap: '⊸', + nGg: '⋙̸', + nGt: '≫⃒', + nGtv: '≫̸', + nLeftarrow: '⇍', + nLeftrightarrow: '⇎', + nLl: '⋘̸', + nLt: '≪⃒', + nLtv: '≪̸', + nRightarrow: '⇏', + nVDash: '⊯', + nVdash: '⊮', + nabla: '∇', + nacute: 'ń', + nang: '∠⃒', + nap: '≉', + napE: '⩰̸', + napid: '≋̸', + napos: 'ʼn', + napprox: '≉', + natur: '♮', + natural: '♮', + naturals: 'ℕ', + nbsp: ' ', + nbump: '≎̸', + nbumpe: '≏̸', + ncap: '⩃', + ncaron: 'ň', + ncedil: 'ņ', + ncong: '≇', + ncongdot: '⩭̸', + ncup: '⩂', + ncy: 'н', + ndash: '–', + ne: '≠', + neArr: '⇗', + nearhk: '⤤', + nearr: '↗', + nearrow: '↗', + nedot: '≐̸', + nequiv: '≢', + nesear: '⤨', + nesim: '≂̸', + nexist: '∄', + nexists: '∄', + nfr: '𝔫', + ngE: '≧̸', + nge: '≱', + ngeq: '≱', + ngeqq: '≧̸', + ngeqslant: '⩾̸', + nges: '⩾̸', + ngsim: '≵', + ngt: '≯', + ngtr: '≯', + nhArr: '⇎', + nharr: '↮', + nhpar: '⫲', + ni: '∋', + nis: '⋼', + nisd: '⋺', + niv: '∋', + njcy: 'њ', + nlArr: '⇍', + nlE: '≦̸', + nlarr: '↚', + nldr: '‥', + nle: '≰', + nleftarrow: '↚', + nleftrightarrow: '↮', + nleq: '≰', + nleqq: '≦̸', + nleqslant: '⩽̸', + nles: '⩽̸', + nless: '≮', + nlsim: '≴', + nlt: '≮', + nltri: '⋪', + nltrie: '⋬', + nmid: '∤', + nopf: '𝕟', + not: '¬', + notin: '∉', + notinE: '⋹̸', + notindot: '⋵̸', + notinva: '∉', + notinvb: '⋷', + notinvc: '⋶', + notni: '∌', + notniva: '∌', + notnivb: '⋾', + notnivc: '⋽', + npar: '∦', + nparallel: '∦', + nparsl: '⫽⃥', + npart: '∂̸', + npolint: '⨔', + npr: '⊀', + nprcue: '⋠', + npre: '⪯̸', + nprec: '⊀', + npreceq: '⪯̸', + nrArr: '⇏', + nrarr: '↛', + nrarrc: '⤳̸', + nrarrw: '↝̸', + nrightarrow: '↛', + nrtri: '⋫', + nrtrie: '⋭', + nsc: '⊁', + nsccue: '⋡', + nsce: '⪰̸', + nscr: '𝓃', + nshortmid: '∤', + nshortparallel: '∦', + nsim: '≁', + nsime: '≄', + nsimeq: '≄', + nsmid: '∤', + nspar: '∦', + nsqsube: '⋢', + nsqsupe: '⋣', + nsub: '⊄', + nsubE: '⫅̸', + nsube: '⊈', + nsubset: '⊂⃒', + nsubseteq: '⊈', + nsubseteqq: '⫅̸', + nsucc: '⊁', + nsucceq: '⪰̸', + nsup: '⊅', + nsupE: '⫆̸', + nsupe: '⊉', + nsupset: '⊃⃒', + nsupseteq: '⊉', + nsupseteqq: '⫆̸', + ntgl: '≹', + ntilde: 'ñ', + ntlg: '≸', + ntriangleleft: '⋪', + ntrianglelefteq: '⋬', + ntriangleright: '⋫', + ntrianglerighteq: '⋭', + nu: 'ν', + num: '#', + numero: '№', + numsp: ' ', + nvDash: '⊭', + nvHarr: '⤄', + nvap: '≍⃒', + nvdash: '⊬', + nvge: '≥⃒', + nvgt: '>⃒', + nvinfin: '⧞', + nvlArr: '⤂', + nvle: '≤⃒', + nvlt: '<⃒', + nvltrie: '⊴⃒', + nvrArr: '⤃', + nvrtrie: '⊵⃒', + nvsim: '∼⃒', + nwArr: '⇖', + nwarhk: '⤣', + nwarr: '↖', + nwarrow: '↖', + nwnear: '⤧', + oS: 'Ⓢ', + oacute: 'ó', + oast: '⊛', + ocir: '⊚', + ocirc: 'ô', + ocy: 'о', + odash: '⊝', + odblac: 'ő', + odiv: '⨸', + odot: '⊙', + odsold: '⦼', + oelig: 'œ', + ofcir: '⦿', + ofr: '𝔬', + ogon: '˛', + ograve: 'ò', + ogt: '⧁', + ohbar: '⦵', + ohm: 'Ω', + oint: '∮', + olarr: '↺', + olcir: '⦾', + olcross: '⦻', + oline: '‾', + olt: '⧀', + omacr: 'ō', + omega: 'ω', + omicron: 'ο', + omid: '⦶', + ominus: '⊖', + oopf: '𝕠', + opar: '⦷', + operp: '⦹', + oplus: '⊕', + or: '∨', + orarr: '↻', + ord: '⩝', + order: 'ℴ', + orderof: 'ℴ', + ordf: 'ª', + ordm: 'º', + origof: '⊶', + oror: '⩖', + orslope: '⩗', + orv: '⩛', + oscr: 'ℴ', + oslash: 'ø', + osol: '⊘', + otilde: 'õ', + otimes: '⊗', + otimesas: '⨶', + ouml: 'ö', + ovbar: '⌽', + par: '∥', + para: '¶', + parallel: '∥', + parsim: '⫳', + parsl: '⫽', + part: '∂', + pcy: 'п', + percnt: '%', + period: '.', + permil: '‰', + perp: '⊥', + pertenk: '‱', + pfr: '𝔭', + phi: 'φ', + phiv: 'ϕ', + phmmat: 'ℳ', + phone: '☎', + pi: 'π', + pitchfork: '⋔', + piv: 'ϖ', + planck: 'ℏ', + planckh: 'ℎ', + plankv: 'ℏ', + plus: '+', + plusacir: '⨣', + plusb: '⊞', + pluscir: '⨢', + plusdo: '∔', + plusdu: '⨥', + pluse: '⩲', + plusmn: '±', + plussim: '⨦', + plustwo: '⨧', + pm: '±', + pointint: '⨕', + popf: '𝕡', + pound: '£', + pr: '≺', + prE: '⪳', + prap: '⪷', + prcue: '≼', + pre: '⪯', + prec: '≺', + precapprox: '⪷', + preccurlyeq: '≼', + preceq: '⪯', + precnapprox: '⪹', + precneqq: '⪵', + precnsim: '⋨', + precsim: '≾', + prime: '′', + primes: 'ℙ', + prnE: '⪵', + prnap: '⪹', + prnsim: '⋨', + prod: '∏', + profalar: '⌮', + profline: '⌒', + profsurf: '⌓', + prop: '∝', + propto: '∝', + prsim: '≾', + prurel: '⊰', + pscr: '𝓅', + psi: 'ψ', + puncsp: ' ', + qfr: '𝔮', + qint: '⨌', + qopf: '𝕢', + qprime: '⁗', + qscr: '𝓆', + quaternions: 'ℍ', + quatint: '⨖', + quest: '?', + questeq: '≟', + quot: '"', + rAarr: '⇛', + rArr: '⇒', + rAtail: '⤜', + rBarr: '⤏', + rHar: '⥤', + race: '∽̱', + racute: 'ŕ', + radic: '√', + raemptyv: '⦳', + rang: '⟩', + rangd: '⦒', + range: '⦥', + rangle: '⟩', + raquo: '»', + rarr: '→', + rarrap: '⥵', + rarrb: '⇥', + rarrbfs: '⤠', + rarrc: '⤳', + rarrfs: '⤞', + rarrhk: '↪', + rarrlp: '↬', + rarrpl: '⥅', + rarrsim: '⥴', + rarrtl: '↣', + rarrw: '↝', + ratail: '⤚', + ratio: '∶', + rationals: 'ℚ', + rbarr: '⤍', + rbbrk: '❳', + rbrace: '}', + rbrack: ']', + rbrke: '⦌', + rbrksld: '⦎', + rbrkslu: '⦐', + rcaron: 'ř', + rcedil: 'ŗ', + rceil: '⌉', + rcub: '}', + rcy: 'р', + rdca: '⤷', + rdldhar: '⥩', + rdquo: '”', + rdquor: '”', + rdsh: '↳', + real: 'ℜ', + realine: 'ℛ', + realpart: 'ℜ', + reals: 'ℝ', + rect: '▭', + reg: '®', + rfisht: '⥽', + rfloor: '⌋', + rfr: '𝔯', + rhard: '⇁', + rharu: '⇀', + rharul: '⥬', + rho: 'ρ', + rhov: 'ϱ', + rightarrow: '→', + rightarrowtail: '↣', + rightharpoondown: '⇁', + rightharpoonup: '⇀', + rightleftarrows: '⇄', + rightleftharpoons: '⇌', + rightrightarrows: '⇉', + rightsquigarrow: '↝', + rightthreetimes: '⋌', + ring: '˚', + risingdotseq: '≓', + rlarr: '⇄', + rlhar: '⇌', + rlm: '‏', + rmoust: '⎱', + rmoustache: '⎱', + rnmid: '⫮', + roang: '⟭', + roarr: '⇾', + robrk: '⟧', + ropar: '⦆', + ropf: '𝕣', + roplus: '⨮', + rotimes: '⨵', + rpar: ')', + rpargt: '⦔', + rppolint: '⨒', + rrarr: '⇉', + rsaquo: '›', + rscr: '𝓇', + rsh: '↱', + rsqb: ']', + rsquo: '’', + rsquor: '’', + rthree: '⋌', + rtimes: '⋊', + rtri: '▹', + rtrie: '⊵', + rtrif: '▸', + rtriltri: '⧎', + ruluhar: '⥨', + rx: '℞', + sacute: 'ś', + sbquo: '‚', + sc: '≻', + scE: '⪴', + scap: '⪸', + scaron: 'š', + sccue: '≽', + sce: '⪰', + scedil: 'ş', + scirc: 'ŝ', + scnE: '⪶', + scnap: '⪺', + scnsim: '⋩', + scpolint: '⨓', + scsim: '≿', + scy: 'с', + sdot: '⋅', + sdotb: '⊡', + sdote: '⩦', + seArr: '⇘', + searhk: '⤥', + searr: '↘', + searrow: '↘', + sect: '§', + semi: ';', + seswar: '⤩', + setminus: '∖', + setmn: '∖', + sext: '✶', + sfr: '𝔰', + sfrown: '⌢', + sharp: '♯', + shchcy: 'щ', + shcy: 'ш', + shortmid: '∣', + shortparallel: '∥', + shy: '­', + sigma: 'σ', + sigmaf: 'ς', + sigmav: 'ς', + sim: '∼', + simdot: '⩪', + sime: '≃', + simeq: '≃', + simg: '⪞', + simgE: '⪠', + siml: '⪝', + simlE: '⪟', + simne: '≆', + simplus: '⨤', + simrarr: '⥲', + slarr: '←', + smallsetminus: '∖', + smashp: '⨳', + smeparsl: '⧤', + smid: '∣', + smile: '⌣', + smt: '⪪', + smte: '⪬', + smtes: '⪬︀', + softcy: 'ь', + sol: '/', + solb: '⧄', + solbar: '⌿', + sopf: '𝕤', + spades: '♠', + spadesuit: '♠', + spar: '∥', + sqcap: '⊓', + sqcaps: '⊓︀', + sqcup: '⊔', + sqcups: '⊔︀', + sqsub: '⊏', + sqsube: '⊑', + sqsubset: '⊏', + sqsubseteq: '⊑', + sqsup: '⊐', + sqsupe: '⊒', + sqsupset: '⊐', + sqsupseteq: '⊒', + squ: '□', + square: '□', + squarf: '▪', + squf: '▪', + srarr: '→', + sscr: '𝓈', + ssetmn: '∖', + ssmile: '⌣', + sstarf: '⋆', + star: '☆', + starf: '★', + straightepsilon: 'ϵ', + straightphi: 'ϕ', + strns: '¯', + sub: '⊂', + subE: '⫅', + subdot: '⪽', + sube: '⊆', + subedot: '⫃', + submult: '⫁', + subnE: '⫋', + subne: '⊊', + subplus: '⪿', + subrarr: '⥹', + subset: '⊂', + subseteq: '⊆', + subseteqq: '⫅', + subsetneq: '⊊', + subsetneqq: '⫋', + subsim: '⫇', + subsub: '⫕', + subsup: '⫓', + succ: '≻', + succapprox: '⪸', + succcurlyeq: '≽', + succeq: '⪰', + succnapprox: '⪺', + succneqq: '⪶', + succnsim: '⋩', + succsim: '≿', + sum: '∑', + sung: '♪', + sup1: '¹', + sup2: '²', + sup3: '³', + sup: '⊃', + supE: '⫆', + supdot: '⪾', + supdsub: '⫘', + supe: '⊇', + supedot: '⫄', + suphsol: '⟉', + suphsub: '⫗', + suplarr: '⥻', + supmult: '⫂', + supnE: '⫌', + supne: '⊋', + supplus: '⫀', + supset: '⊃', + supseteq: '⊇', + supseteqq: '⫆', + supsetneq: '⊋', + supsetneqq: '⫌', + supsim: '⫈', + supsub: '⫔', + supsup: '⫖', + swArr: '⇙', + swarhk: '⤦', + swarr: '↙', + swarrow: '↙', + swnwar: '⤪', + szlig: 'ß', + target: '⌖', + tau: 'τ', + tbrk: '⎴', + tcaron: 'ť', + tcedil: 'ţ', + tcy: 'т', + tdot: '⃛', + telrec: '⌕', + tfr: '𝔱', + there4: '∴', + therefore: '∴', + theta: 'θ', + thetasym: 'ϑ', + thetav: 'ϑ', + thickapprox: '≈', + thicksim: '∼', + thinsp: ' ', + thkap: '≈', + thksim: '∼', + thorn: 'þ', + tilde: '˜', + times: '×', + timesb: '⊠', + timesbar: '⨱', + timesd: '⨰', + tint: '∭', + toea: '⤨', + top: '⊤', + topbot: '⌶', + topcir: '⫱', + topf: '𝕥', + topfork: '⫚', + tosa: '⤩', + tprime: '‴', + trade: '™', + triangle: '▵', + triangledown: '▿', + triangleleft: '◃', + trianglelefteq: '⊴', + triangleq: '≜', + triangleright: '▹', + trianglerighteq: '⊵', + tridot: '◬', + trie: '≜', + triminus: '⨺', + triplus: '⨹', + trisb: '⧍', + tritime: '⨻', + trpezium: '⏢', + tscr: '𝓉', + tscy: 'ц', + tshcy: 'ћ', + tstrok: 'ŧ', + twixt: '≬', + twoheadleftarrow: '↞', + twoheadrightarrow: '↠', + uArr: '⇑', + uHar: '⥣', + uacute: 'ú', + uarr: '↑', + ubrcy: 'ў', + ubreve: 'ŭ', + ucirc: 'û', + ucy: 'у', + udarr: '⇅', + udblac: 'ű', + udhar: '⥮', + ufisht: '⥾', + ufr: '𝔲', + ugrave: 'ù', + uharl: '↿', + uharr: '↾', + uhblk: '▀', + ulcorn: '⌜', + ulcorner: '⌜', + ulcrop: '⌏', + ultri: '◸', + umacr: 'ū', + uml: '¨', + uogon: 'ų', + uopf: '𝕦', + uparrow: '↑', + updownarrow: '↕', + upharpoonleft: '↿', + upharpoonright: '↾', + uplus: '⊎', + upsi: 'υ', + upsih: 'ϒ', + upsilon: 'υ', + upuparrows: '⇈', + urcorn: '⌝', + urcorner: '⌝', + urcrop: '⌎', + uring: 'ů', + urtri: '◹', + uscr: '𝓊', + utdot: '⋰', + utilde: 'ũ', + utri: '▵', + utrif: '▴', + uuarr: '⇈', + uuml: 'ü', + uwangle: '⦧', + vArr: '⇕', + vBar: '⫨', + vBarv: '⫩', + vDash: '⊨', + vangrt: '⦜', + varepsilon: 'ϵ', + varkappa: 'ϰ', + varnothing: '∅', + varphi: 'ϕ', + varpi: 'ϖ', + varpropto: '∝', + varr: '↕', + varrho: 'ϱ', + varsigma: 'ς', + varsubsetneq: '⊊︀', + varsubsetneqq: '⫋︀', + varsupsetneq: '⊋︀', + varsupsetneqq: '⫌︀', + vartheta: 'ϑ', + vartriangleleft: '⊲', + vartriangleright: '⊳', + vcy: 'в', + vdash: '⊢', + vee: '∨', + veebar: '⊻', + veeeq: '≚', + vellip: '⋮', + verbar: '|', + vert: '|', + vfr: '𝔳', + vltri: '⊲', + vnsub: '⊂⃒', + vnsup: '⊃⃒', + vopf: '𝕧', + vprop: '∝', + vrtri: '⊳', + vscr: '𝓋', + vsubnE: '⫋︀', + vsubne: '⊊︀', + vsupnE: '⫌︀', + vsupne: '⊋︀', + vzigzag: '⦚', + wcirc: 'ŵ', + wedbar: '⩟', + wedge: '∧', + wedgeq: '≙', + weierp: '℘', + wfr: '𝔴', + wopf: '𝕨', + wp: '℘', + wr: '≀', + wreath: '≀', + wscr: '𝓌', + xcap: '⋂', + xcirc: '◯', + xcup: '⋃', + xdtri: '▽', + xfr: '𝔵', + xhArr: '⟺', + xharr: '⟷', + xi: 'ξ', + xlArr: '⟸', + xlarr: '⟵', + xmap: '⟼', + xnis: '⋻', + xodot: '⨀', + xopf: '𝕩', + xoplus: '⨁', + xotime: '⨂', + xrArr: '⟹', + xrarr: '⟶', + xscr: '𝓍', + xsqcup: '⨆', + xuplus: '⨄', + xutri: '△', + xvee: '⋁', + xwedge: '⋀', + yacute: 'ý', + yacy: 'я', + ycirc: 'ŷ', + ycy: 'ы', + yen: '¥', + yfr: '𝔶', + yicy: 'ї', + yopf: '𝕪', + yscr: '𝓎', + yucy: 'ю', + yuml: 'ÿ', + zacute: 'ź', + zcaron: 'ž', + zcy: 'з', + zdot: 'ż', + zeetrf: 'ℨ', + zeta: 'ζ', + zfr: '𝔷', + zhcy: 'ж', + zigrarr: '⇝', + zopf: '𝕫', + zscr: '𝓏', + zwj: '‍', + zwnj: '‌' +} + +;// CONCATENATED MODULE: ./node_modules/decode-named-character-reference/index.js + + +const own = {}.hasOwnProperty + +/** + * Decode a single character reference (without the `&` or `;`). + * You probably only need this when you’re building parsers yourself that follow + * different rules compared to HTML. + * This is optimized to be tiny in browsers. + * + * @param {string} value + * `notin` (named), `#123` (deci), `#x123` (hexa). + * @returns {string|false} + * Decoded reference. + */ +function decodeNamedCharacterReference(value) { + return own.call(characterEntities, value) ? characterEntities[value] : false +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/character-reference.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const characterReference = { + name: 'characterReference', + tokenize: tokenizeCharacterReference +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCharacterReference(effects, ok, nok) { + const self = this + let size = 0 + /** @type {number} */ + let max + /** @type {(code: Code) => boolean} */ + let test + return start + + /** + * Start of character reference. + * + * ```markdown + * > | a&b + * ^ + * > | a{b + * ^ + * > | a b + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('characterReference') + effects.enter('characterReferenceMarker') + effects.consume(code) + effects.exit('characterReferenceMarker') + return open + } + + /** + * After `&`, at `#` for numeric references or alphanumeric for named + * references. + * + * ```markdown + * > | a&b + * ^ + * > | a{b + * ^ + * > | a b + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (code === 35) { + effects.enter('characterReferenceMarkerNumeric') + effects.consume(code) + effects.exit('characterReferenceMarkerNumeric') + return numeric + } + effects.enter('characterReferenceValue') + max = 31 + test = asciiAlphanumeric + return value(code) + } + + /** + * After `#`, at `x` for hexadecimals or digit for decimals. + * + * ```markdown + * > | a{b + * ^ + * > | a b + * ^ + * ``` + * + * @type {State} + */ + function numeric(code) { + if (code === 88 || code === 120) { + effects.enter('characterReferenceMarkerHexadecimal') + effects.consume(code) + effects.exit('characterReferenceMarkerHexadecimal') + effects.enter('characterReferenceValue') + max = 6 + test = asciiHexDigit + return value + } + effects.enter('characterReferenceValue') + max = 7 + test = asciiDigit + return value(code) + } + + /** + * After markers (`&#x`, `&#`, or `&`), in value, before `;`. + * + * The character reference kind defines what and how many characters are + * allowed. + * + * ```markdown + * > | a&b + * ^^^ + * > | a{b + * ^^^ + * > | a b + * ^ + * ``` + * + * @type {State} + */ + function value(code) { + if (code === 59 && size) { + const token = effects.exit('characterReferenceValue') + if ( + test === asciiAlphanumeric && + !decodeNamedCharacterReference(self.sliceSerialize(token)) + ) { + return nok(code) + } + + // To do: `markdown-rs` uses a different name: + // `CharacterReferenceMarkerSemi`. + effects.enter('characterReferenceMarker') + effects.consume(code) + effects.exit('characterReferenceMarker') + effects.exit('characterReference') + return ok + } + if (test(code) && size++ < max) { + effects.consume(code) + return value + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/character-escape.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + +/** @type {Construct} */ +const characterEscape = { + name: 'characterEscape', + tokenize: tokenizeCharacterEscape +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCharacterEscape(effects, ok, nok) { + return start + + /** + * Start of character escape. + * + * ```markdown + * > | a\*b + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('characterEscape') + effects.enter('escapeMarker') + effects.consume(code) + effects.exit('escapeMarker') + return inside + } + + /** + * After `\`, at punctuation. + * + * ```markdown + * > | a\*b + * ^ + * ``` + * + * @type {State} + */ + function inside(code) { + // ASCII punctuation. + if (asciiPunctuation(code)) { + effects.enter('characterEscapeValue') + effects.consume(code) + effects.exit('characterEscapeValue') + effects.exit('characterEscape') + return ok + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/line-ending.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const lineEnding = { + name: 'lineEnding', + tokenize: tokenizeLineEnding +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeLineEnding(effects, ok) { + return start + + /** @type {State} */ + function start(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return factorySpace(effects, ok, 'linePrefix') + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-end.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + + + + + + +/** @type {Construct} */ +const labelEnd = { + name: 'labelEnd', + tokenize: tokenizeLabelEnd, + resolveTo: resolveToLabelEnd, + resolveAll: resolveAllLabelEnd +} + +/** @type {Construct} */ +const resourceConstruct = { + tokenize: tokenizeResource +} +/** @type {Construct} */ +const referenceFullConstruct = { + tokenize: tokenizeReferenceFull +} +/** @type {Construct} */ +const referenceCollapsedConstruct = { + tokenize: tokenizeReferenceCollapsed +} + +/** @type {Resolver} */ +function resolveAllLabelEnd(events) { + let index = -1 + while (++index < events.length) { + const token = events[index][1] + if ( + token.type === 'labelImage' || + token.type === 'labelLink' || + token.type === 'labelEnd' + ) { + // Remove the marker. + events.splice(index + 1, token.type === 'labelImage' ? 4 : 2) + token.type = 'data' + index++ + } + } + return events +} + +/** @type {Resolver} */ +function resolveToLabelEnd(events, context) { + let index = events.length + let offset = 0 + /** @type {Token} */ + let token + /** @type {number | undefined} */ + let open + /** @type {number | undefined} */ + let close + /** @type {Array<Event>} */ + let media + + // Find an opening. + while (index--) { + token = events[index][1] + if (open) { + // If we see another link, or inactive link label, we’ve been here before. + if ( + token.type === 'link' || + (token.type === 'labelLink' && token._inactive) + ) { + break + } + + // Mark other link openings as inactive, as we can’t have links in + // links. + if (events[index][0] === 'enter' && token.type === 'labelLink') { + token._inactive = true + } + } else if (close) { + if ( + events[index][0] === 'enter' && + (token.type === 'labelImage' || token.type === 'labelLink') && + !token._balanced + ) { + open = index + if (token.type !== 'labelLink') { + offset = 2 + break + } + } + } else if (token.type === 'labelEnd') { + close = index + } + } + const group = { + type: events[open][1].type === 'labelLink' ? 'link' : 'image', + start: Object.assign({}, events[open][1].start), + end: Object.assign({}, events[events.length - 1][1].end) + } + const label = { + type: 'label', + start: Object.assign({}, events[open][1].start), + end: Object.assign({}, events[close][1].end) + } + const text = { + type: 'labelText', + start: Object.assign({}, events[open + offset + 2][1].end), + end: Object.assign({}, events[close - 2][1].start) + } + media = [ + ['enter', group, context], + ['enter', label, context] + ] + + // Opening marker. + media = push(media, events.slice(open + 1, open + offset + 3)) + + // Text open. + media = push(media, [['enter', text, context]]) + + // Always populated by defaults. + + // Between. + media = push( + media, + resolveAll( + context.parser.constructs.insideSpan.null, + events.slice(open + offset + 4, close - 3), + context + ) + ) + + // Text close, marker close, label close. + media = push(media, [ + ['exit', text, context], + events[close - 2], + events[close - 1], + ['exit', label, context] + ]) + + // Reference, resource, or so. + media = push(media, events.slice(close + 1)) + + // Media close. + media = push(media, [['exit', group, context]]) + splice(events, open, events.length, media) + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeLabelEnd(effects, ok, nok) { + const self = this + let index = self.events.length + /** @type {Token} */ + let labelStart + /** @type {boolean} */ + let defined + + // Find an opening. + while (index--) { + if ( + (self.events[index][1].type === 'labelImage' || + self.events[index][1].type === 'labelLink') && + !self.events[index][1]._balanced + ) { + labelStart = self.events[index][1] + break + } + } + return start + + /** + * Start of label end. + * + * ```markdown + * > | [a](b) c + * ^ + * > | [a][b] c + * ^ + * > | [a][] b + * ^ + * > | [a] b + * ``` + * + * @type {State} + */ + function start(code) { + // If there is not an okay opening. + if (!labelStart) { + return nok(code) + } + + // If the corresponding label (link) start is marked as inactive, + // it means we’d be wrapping a link, like this: + // + // ```markdown + // > | a [b [c](d) e](f) g. + // ^ + // ``` + // + // We can’t have that, so it’s just balanced brackets. + if (labelStart._inactive) { + return labelEndNok(code) + } + defined = self.parser.defined.includes( + normalizeIdentifier( + self.sliceSerialize({ + start: labelStart.end, + end: self.now() + }) + ) + ) + effects.enter('labelEnd') + effects.enter('labelMarker') + effects.consume(code) + effects.exit('labelMarker') + effects.exit('labelEnd') + return after + } + + /** + * After `]`. + * + * ```markdown + * > | [a](b) c + * ^ + * > | [a][b] c + * ^ + * > | [a][] b + * ^ + * > | [a] b + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + // Note: `markdown-rs` also parses GFM footnotes here, which for us is in + // an extension. + + // Resource (`[asd](fgh)`)? + if (code === 40) { + return effects.attempt( + resourceConstruct, + labelEndOk, + defined ? labelEndOk : labelEndNok + )(code) + } + + // Full (`[asd][fgh]`) or collapsed (`[asd][]`) reference? + if (code === 91) { + return effects.attempt( + referenceFullConstruct, + labelEndOk, + defined ? referenceNotFull : labelEndNok + )(code) + } + + // Shortcut (`[asd]`) reference? + return defined ? labelEndOk(code) : labelEndNok(code) + } + + /** + * After `]`, at `[`, but not at a full reference. + * + * > 👉 **Note**: we only get here if the label is defined. + * + * ```markdown + * > | [a][] b + * ^ + * > | [a] b + * ^ + * ``` + * + * @type {State} + */ + function referenceNotFull(code) { + return effects.attempt( + referenceCollapsedConstruct, + labelEndOk, + labelEndNok + )(code) + } + + /** + * Done, we found something. + * + * ```markdown + * > | [a](b) c + * ^ + * > | [a][b] c + * ^ + * > | [a][] b + * ^ + * > | [a] b + * ^ + * ``` + * + * @type {State} + */ + function labelEndOk(code) { + // Note: `markdown-rs` does a bunch of stuff here. + return ok(code) + } + + /** + * Done, it’s nothing. + * + * There was an okay opening, but we didn’t match anything. + * + * ```markdown + * > | [a](b c + * ^ + * > | [a][b c + * ^ + * > | [a] b + * ^ + * ``` + * + * @type {State} + */ + function labelEndNok(code) { + labelStart._balanced = true + return nok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeResource(effects, ok, nok) { + return resourceStart + + /** + * At a resource. + * + * ```markdown + * > | [a](b) c + * ^ + * ``` + * + * @type {State} + */ + function resourceStart(code) { + effects.enter('resource') + effects.enter('resourceMarker') + effects.consume(code) + effects.exit('resourceMarker') + return resourceBefore + } + + /** + * In resource, after `(`, at optional whitespace. + * + * ```markdown + * > | [a](b) c + * ^ + * ``` + * + * @type {State} + */ + function resourceBefore(code) { + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, resourceOpen)(code) + : resourceOpen(code) + } + + /** + * In resource, after optional whitespace, at `)` or a destination. + * + * ```markdown + * > | [a](b) c + * ^ + * ``` + * + * @type {State} + */ + function resourceOpen(code) { + if (code === 41) { + return resourceEnd(code) + } + return factoryDestination( + effects, + resourceDestinationAfter, + resourceDestinationMissing, + 'resourceDestination', + 'resourceDestinationLiteral', + 'resourceDestinationLiteralMarker', + 'resourceDestinationRaw', + 'resourceDestinationString', + 32 + )(code) + } + + /** + * In resource, after destination, at optional whitespace. + * + * ```markdown + * > | [a](b) c + * ^ + * ``` + * + * @type {State} + */ + function resourceDestinationAfter(code) { + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, resourceBetween)(code) + : resourceEnd(code) + } + + /** + * At invalid destination. + * + * ```markdown + * > | [a](<<) b + * ^ + * ``` + * + * @type {State} + */ + function resourceDestinationMissing(code) { + return nok(code) + } + + /** + * In resource, after destination and whitespace, at `(` or title. + * + * ```markdown + * > | [a](b ) c + * ^ + * ``` + * + * @type {State} + */ + function resourceBetween(code) { + if (code === 34 || code === 39 || code === 40) { + return factoryTitle( + effects, + resourceTitleAfter, + nok, + 'resourceTitle', + 'resourceTitleMarker', + 'resourceTitleString' + )(code) + } + return resourceEnd(code) + } + + /** + * In resource, after title, at optional whitespace. + * + * ```markdown + * > | [a](b "c") d + * ^ + * ``` + * + * @type {State} + */ + function resourceTitleAfter(code) { + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, resourceEnd)(code) + : resourceEnd(code) + } + + /** + * In resource, at `)`. + * + * ```markdown + * > | [a](b) d + * ^ + * ``` + * + * @type {State} + */ + function resourceEnd(code) { + if (code === 41) { + effects.enter('resourceMarker') + effects.consume(code) + effects.exit('resourceMarker') + effects.exit('resource') + return ok + } + return nok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeReferenceFull(effects, ok, nok) { + const self = this + return referenceFull + + /** + * In a reference (full), at the `[`. + * + * ```markdown + * > | [a][b] d + * ^ + * ``` + * + * @type {State} + */ + function referenceFull(code) { + return factoryLabel.call( + self, + effects, + referenceFullAfter, + referenceFullMissing, + 'reference', + 'referenceMarker', + 'referenceString' + )(code) + } + + /** + * In a reference (full), after `]`. + * + * ```markdown + * > | [a][b] d + * ^ + * ``` + * + * @type {State} + */ + function referenceFullAfter(code) { + return self.parser.defined.includes( + normalizeIdentifier( + self.sliceSerialize(self.events[self.events.length - 1][1]).slice(1, -1) + ) + ) + ? ok(code) + : nok(code) + } + + /** + * In reference (full) that was missing. + * + * ```markdown + * > | [a][b d + * ^ + * ``` + * + * @type {State} + */ + function referenceFullMissing(code) { + return nok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeReferenceCollapsed(effects, ok, nok) { + return referenceCollapsedStart + + /** + * In reference (collapsed), at `[`. + * + * > 👉 **Note**: we only get here if the label is defined. + * + * ```markdown + * > | [a][] d + * ^ + * ``` + * + * @type {State} + */ + function referenceCollapsedStart(code) { + // We only attempt a collapsed label if there’s a `[`. + + effects.enter('reference') + effects.enter('referenceMarker') + effects.consume(code) + effects.exit('referenceMarker') + return referenceCollapsedOpen + } + + /** + * In reference (collapsed), at `]`. + * + * > 👉 **Note**: we only get here if the label is defined. + * + * ```markdown + * > | [a][] d + * ^ + * ``` + * + * @type {State} + */ + function referenceCollapsedOpen(code) { + if (code === 93) { + effects.enter('referenceMarker') + effects.consume(code) + effects.exit('referenceMarker') + effects.exit('reference') + return ok + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-start-image.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const labelStartImage = { + name: 'labelStartImage', + tokenize: tokenizeLabelStartImage, + resolveAll: labelEnd.resolveAll +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeLabelStartImage(effects, ok, nok) { + const self = this + return start + + /** + * Start of label (image) start. + * + * ```markdown + * > | a ![b] c + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('labelImage') + effects.enter('labelImageMarker') + effects.consume(code) + effects.exit('labelImageMarker') + return open + } + + /** + * After `!`, at `[`. + * + * ```markdown + * > | a ![b] c + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (code === 91) { + effects.enter('labelMarker') + effects.consume(code) + effects.exit('labelMarker') + effects.exit('labelImage') + return after + } + return nok(code) + } + + /** + * After `![`. + * + * ```markdown + * > | a ![b] c + * ^ + * ``` + * + * This is needed in because, when GFM footnotes are enabled, images never + * form when started with a `^`. + * Instead, links form: + * + * ```markdown + * ![^a](b) + * + * ![^a][b] + * + * [b]: c + * ``` + * + * ```html + * <p>!<a href=\"b\">^a</a></p> + * <p>!<a href=\"c\">^a</a></p> + * ``` + * + * @type {State} + */ + function after(code) { + // To do: use a new field to do this, this is still needed for + // `micromark-extension-gfm-footnote`, but the `label-start-link` + // behavior isn’t. + // Hidden footnotes hook. + /* c8 ignore next 3 */ + return code === 94 && '_hiddenFootnoteSupport' in self.parser.constructs + ? nok(code) + : ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-classify-character/index.js +/** + * @typedef {import('micromark-util-types').Code} Code + */ + + +/** + * Classify whether a code represents whitespace, punctuation, or something + * else. + * + * Used for attention (emphasis, strong), whose sequences can open or close + * based on the class of surrounding characters. + * + * > 👉 **Note**: eof (`null`) is seen as whitespace. + * + * @param {Code} code + * Code. + * @returns {typeof constants.characterGroupWhitespace | typeof constants.characterGroupPunctuation | undefined} + * Group. + */ +function classifyCharacter(code) { + if ( + code === null || + markdownLineEndingOrSpace(code) || + unicodeWhitespace(code) + ) { + return 1 + } + if (unicodePunctuation(code)) { + return 2 + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/attention.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').Point} Point + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + +/** @type {Construct} */ +const attention = { + name: 'attention', + tokenize: tokenizeAttention, + resolveAll: resolveAllAttention +} + +/** + * Take all events and resolve attention to emphasis or strong. + * + * @type {Resolver} + */ +function resolveAllAttention(events, context) { + let index = -1 + /** @type {number} */ + let open + /** @type {Token} */ + let group + /** @type {Token} */ + let text + /** @type {Token} */ + let openingSequence + /** @type {Token} */ + let closingSequence + /** @type {number} */ + let use + /** @type {Array<Event>} */ + let nextEvents + /** @type {number} */ + let offset + + // Walk through all events. + // + // Note: performance of this is fine on an mb of normal markdown, but it’s + // a bottleneck for malicious stuff. + while (++index < events.length) { + // Find a token that can close. + if ( + events[index][0] === 'enter' && + events[index][1].type === 'attentionSequence' && + events[index][1]._close + ) { + open = index + + // Now walk back to find an opener. + while (open--) { + // Find a token that can open the closer. + if ( + events[open][0] === 'exit' && + events[open][1].type === 'attentionSequence' && + events[open][1]._open && + // If the markers are the same: + context.sliceSerialize(events[open][1]).charCodeAt(0) === + context.sliceSerialize(events[index][1]).charCodeAt(0) + ) { + // If the opening can close or the closing can open, + // and the close size *is not* a multiple of three, + // but the sum of the opening and closing size *is* multiple of three, + // then don’t match. + if ( + (events[open][1]._close || events[index][1]._open) && + (events[index][1].end.offset - events[index][1].start.offset) % 3 && + !( + (events[open][1].end.offset - + events[open][1].start.offset + + events[index][1].end.offset - + events[index][1].start.offset) % + 3 + ) + ) { + continue + } + + // Number of markers to use from the sequence. + use = + events[open][1].end.offset - events[open][1].start.offset > 1 && + events[index][1].end.offset - events[index][1].start.offset > 1 + ? 2 + : 1 + const start = Object.assign({}, events[open][1].end) + const end = Object.assign({}, events[index][1].start) + movePoint(start, -use) + movePoint(end, use) + openingSequence = { + type: use > 1 ? 'strongSequence' : 'emphasisSequence', + start, + end: Object.assign({}, events[open][1].end) + } + closingSequence = { + type: use > 1 ? 'strongSequence' : 'emphasisSequence', + start: Object.assign({}, events[index][1].start), + end + } + text = { + type: use > 1 ? 'strongText' : 'emphasisText', + start: Object.assign({}, events[open][1].end), + end: Object.assign({}, events[index][1].start) + } + group = { + type: use > 1 ? 'strong' : 'emphasis', + start: Object.assign({}, openingSequence.start), + end: Object.assign({}, closingSequence.end) + } + events[open][1].end = Object.assign({}, openingSequence.start) + events[index][1].start = Object.assign({}, closingSequence.end) + nextEvents = [] + + // If there are more markers in the opening, add them before. + if (events[open][1].end.offset - events[open][1].start.offset) { + nextEvents = push(nextEvents, [ + ['enter', events[open][1], context], + ['exit', events[open][1], context] + ]) + } + + // Opening. + nextEvents = push(nextEvents, [ + ['enter', group, context], + ['enter', openingSequence, context], + ['exit', openingSequence, context], + ['enter', text, context] + ]) + + // Always populated by defaults. + + // Between. + nextEvents = push( + nextEvents, + resolveAll( + context.parser.constructs.insideSpan.null, + events.slice(open + 1, index), + context + ) + ) + + // Closing. + nextEvents = push(nextEvents, [ + ['exit', text, context], + ['enter', closingSequence, context], + ['exit', closingSequence, context], + ['exit', group, context] + ]) + + // If there are more markers in the closing, add them after. + if (events[index][1].end.offset - events[index][1].start.offset) { + offset = 2 + nextEvents = push(nextEvents, [ + ['enter', events[index][1], context], + ['exit', events[index][1], context] + ]) + } else { + offset = 0 + } + splice(events, open - 1, index - open + 3, nextEvents) + index = open + nextEvents.length - offset - 2 + break + } + } + } + } + + // Remove remaining sequences. + index = -1 + while (++index < events.length) { + if (events[index][1].type === 'attentionSequence') { + events[index][1].type = 'data' + } + } + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeAttention(effects, ok) { + const attentionMarkers = this.parser.constructs.attentionMarkers.null + const previous = this.previous + const before = classifyCharacter(previous) + + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * Before a sequence. + * + * ```markdown + * > | ** + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + marker = code + effects.enter('attentionSequence') + return inside(code) + } + + /** + * In a sequence. + * + * ```markdown + * > | ** + * ^^ + * ``` + * + * @type {State} + */ + function inside(code) { + if (code === marker) { + effects.consume(code) + return inside + } + const token = effects.exit('attentionSequence') + + // To do: next major: move this to resolver, just like `markdown-rs`. + const after = classifyCharacter(code) + + // Always populated by defaults. + + const open = + !after || (after === 2 && before) || attentionMarkers.includes(code) + const close = + !before || (before === 2 && after) || attentionMarkers.includes(previous) + token._open = Boolean(marker === 42 ? open : open && (before || !close)) + token._close = Boolean(marker === 42 ? close : close && (after || !open)) + return ok(code) + } +} + +/** + * Move a point a bit. + * + * Note: `move` only works inside lines! It’s not possible to move past other + * chunks (replacement characters, tabs, or line endings). + * + * @param {Point} point + * @param {number} offset + * @returns {void} + */ +function movePoint(point, offset) { + point.column += offset + point.offset += offset + point._bufferIndex += offset +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/autolink.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + +/** @type {Construct} */ +const autolink = { + name: 'autolink', + tokenize: tokenizeAutolink +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeAutolink(effects, ok, nok) { + let size = 0 + return start + + /** + * Start of an autolink. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * > | a<user@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('autolink') + effects.enter('autolinkMarker') + effects.consume(code) + effects.exit('autolinkMarker') + effects.enter('autolinkProtocol') + return open + } + + /** + * After `<`, at protocol or atext. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * > | a<user@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (asciiAlpha(code)) { + effects.consume(code) + return schemeOrEmailAtext + } + return emailAtext(code) + } + + /** + * At second byte of protocol or atext. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * > | a<user@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function schemeOrEmailAtext(code) { + // ASCII alphanumeric and `+`, `-`, and `.`. + if (code === 43 || code === 45 || code === 46 || asciiAlphanumeric(code)) { + // Count the previous alphabetical from `open` too. + size = 1 + return schemeInsideOrEmailAtext(code) + } + return emailAtext(code) + } + + /** + * In ambiguous protocol or atext. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * > | a<user@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function schemeInsideOrEmailAtext(code) { + if (code === 58) { + effects.consume(code) + size = 0 + return urlInside + } + + // ASCII alphanumeric and `+`, `-`, and `.`. + if ( + (code === 43 || code === 45 || code === 46 || asciiAlphanumeric(code)) && + size++ < 32 + ) { + effects.consume(code) + return schemeInsideOrEmailAtext + } + size = 0 + return emailAtext(code) + } + + /** + * After protocol, in URL. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * ``` + * + * @type {State} + */ + function urlInside(code) { + if (code === 62) { + effects.exit('autolinkProtocol') + effects.enter('autolinkMarker') + effects.consume(code) + effects.exit('autolinkMarker') + effects.exit('autolink') + return ok + } + + // ASCII control, space, or `<`. + if (code === null || code === 32 || code === 60 || asciiControl(code)) { + return nok(code) + } + effects.consume(code) + return urlInside + } + + /** + * In email atext. + * + * ```markdown + * > | a<user.name@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function emailAtext(code) { + if (code === 64) { + effects.consume(code) + return emailAtSignOrDot + } + if (asciiAtext(code)) { + effects.consume(code) + return emailAtext + } + return nok(code) + } + + /** + * In label, after at-sign or dot. + * + * ```markdown + * > | a<user.name@example.com>b + * ^ ^ + * ``` + * + * @type {State} + */ + function emailAtSignOrDot(code) { + return asciiAlphanumeric(code) ? emailLabel(code) : nok(code) + } + + /** + * In label, where `.` and `>` are allowed. + * + * ```markdown + * > | a<user.name@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function emailLabel(code) { + if (code === 46) { + effects.consume(code) + size = 0 + return emailAtSignOrDot + } + if (code === 62) { + // Exit, then change the token type. + effects.exit('autolinkProtocol').type = 'autolinkEmail' + effects.enter('autolinkMarker') + effects.consume(code) + effects.exit('autolinkMarker') + effects.exit('autolink') + return ok + } + return emailValue(code) + } + + /** + * In label, where `.` and `>` are *not* allowed. + * + * Though, this is also used in `emailLabel` to parse other values. + * + * ```markdown + * > | a<user.name@ex-ample.com>b + * ^ + * ``` + * + * @type {State} + */ + function emailValue(code) { + // ASCII alphanumeric or `-`. + if ((code === 45 || asciiAlphanumeric(code)) && size++ < 63) { + const next = code === 45 ? emailValue : emailLabel + effects.consume(code) + return next + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/html-text.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const htmlText = { + name: 'htmlText', + tokenize: tokenizeHtmlText +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeHtmlText(effects, ok, nok) { + const self = this + /** @type {NonNullable<Code> | undefined} */ + let marker + /** @type {number} */ + let index + /** @type {State} */ + let returnState + return start + + /** + * Start of HTML (text). + * + * ```markdown + * > | a <b> c + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('htmlText') + effects.enter('htmlTextData') + effects.consume(code) + return open + } + + /** + * After `<`, at tag name or other stuff. + * + * ```markdown + * > | a <b> c + * ^ + * > | a <!doctype> c + * ^ + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (code === 33) { + effects.consume(code) + return declarationOpen + } + if (code === 47) { + effects.consume(code) + return tagCloseStart + } + if (code === 63) { + effects.consume(code) + return instruction + } + + // ASCII alphabetical. + if (asciiAlpha(code)) { + effects.consume(code) + return tagOpen + } + return nok(code) + } + + /** + * After `<!`, at declaration, comment, or CDATA. + * + * ```markdown + * > | a <!doctype> c + * ^ + * > | a <!--b--> c + * ^ + * > | a <![CDATA[>&<]]> c + * ^ + * ``` + * + * @type {State} + */ + function declarationOpen(code) { + if (code === 45) { + effects.consume(code) + return commentOpenInside + } + if (code === 91) { + effects.consume(code) + index = 0 + return cdataOpenInside + } + if (asciiAlpha(code)) { + effects.consume(code) + return declaration + } + return nok(code) + } + + /** + * In a comment, after `<!-`, at another `-`. + * + * ```markdown + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function commentOpenInside(code) { + if (code === 45) { + effects.consume(code) + return commentEnd + } + return nok(code) + } + + /** + * In comment. + * + * ```markdown + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function comment(code) { + if (code === null) { + return nok(code) + } + if (code === 45) { + effects.consume(code) + return commentClose + } + if (markdownLineEnding(code)) { + returnState = comment + return lineEndingBefore(code) + } + effects.consume(code) + return comment + } + + /** + * In comment, after `-`. + * + * ```markdown + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function commentClose(code) { + if (code === 45) { + effects.consume(code) + return commentEnd + } + return comment(code) + } + + /** + * In comment, after `--`. + * + * ```markdown + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function commentEnd(code) { + return code === 62 + ? end(code) + : code === 45 + ? commentClose(code) + : comment(code) + } + + /** + * After `<![`, in CDATA, expecting `CDATA[`. + * + * ```markdown + * > | a <![CDATA[>&<]]> b + * ^^^^^^ + * ``` + * + * @type {State} + */ + function cdataOpenInside(code) { + const value = 'CDATA[' + if (code === value.charCodeAt(index++)) { + effects.consume(code) + return index === value.length ? cdata : cdataOpenInside + } + return nok(code) + } + + /** + * In CDATA. + * + * ```markdown + * > | a <![CDATA[>&<]]> b + * ^^^ + * ``` + * + * @type {State} + */ + function cdata(code) { + if (code === null) { + return nok(code) + } + if (code === 93) { + effects.consume(code) + return cdataClose + } + if (markdownLineEnding(code)) { + returnState = cdata + return lineEndingBefore(code) + } + effects.consume(code) + return cdata + } + + /** + * In CDATA, after `]`, at another `]`. + * + * ```markdown + * > | a <![CDATA[>&<]]> b + * ^ + * ``` + * + * @type {State} + */ + function cdataClose(code) { + if (code === 93) { + effects.consume(code) + return cdataEnd + } + return cdata(code) + } + + /** + * In CDATA, after `]]`, at `>`. + * + * ```markdown + * > | a <![CDATA[>&<]]> b + * ^ + * ``` + * + * @type {State} + */ + function cdataEnd(code) { + if (code === 62) { + return end(code) + } + if (code === 93) { + effects.consume(code) + return cdataEnd + } + return cdata(code) + } + + /** + * In declaration. + * + * ```markdown + * > | a <!b> c + * ^ + * ``` + * + * @type {State} + */ + function declaration(code) { + if (code === null || code === 62) { + return end(code) + } + if (markdownLineEnding(code)) { + returnState = declaration + return lineEndingBefore(code) + } + effects.consume(code) + return declaration + } + + /** + * In instruction. + * + * ```markdown + * > | a <?b?> c + * ^ + * ``` + * + * @type {State} + */ + function instruction(code) { + if (code === null) { + return nok(code) + } + if (code === 63) { + effects.consume(code) + return instructionClose + } + if (markdownLineEnding(code)) { + returnState = instruction + return lineEndingBefore(code) + } + effects.consume(code) + return instruction + } + + /** + * In instruction, after `?`, at `>`. + * + * ```markdown + * > | a <?b?> c + * ^ + * ``` + * + * @type {State} + */ + function instructionClose(code) { + return code === 62 ? end(code) : instruction(code) + } + + /** + * After `</`, in closing tag, at tag name. + * + * ```markdown + * > | a </b> c + * ^ + * ``` + * + * @type {State} + */ + function tagCloseStart(code) { + // ASCII alphabetical. + if (asciiAlpha(code)) { + effects.consume(code) + return tagClose + } + return nok(code) + } + + /** + * After `</x`, in a tag name. + * + * ```markdown + * > | a </b> c + * ^ + * ``` + * + * @type {State} + */ + function tagClose(code) { + // ASCII alphanumerical and `-`. + if (code === 45 || asciiAlphanumeric(code)) { + effects.consume(code) + return tagClose + } + return tagCloseBetween(code) + } + + /** + * In closing tag, after tag name. + * + * ```markdown + * > | a </b> c + * ^ + * ``` + * + * @type {State} + */ + function tagCloseBetween(code) { + if (markdownLineEnding(code)) { + returnState = tagCloseBetween + return lineEndingBefore(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return tagCloseBetween + } + return end(code) + } + + /** + * After `<x`, in opening tag name. + * + * ```markdown + * > | a <b> c + * ^ + * ``` + * + * @type {State} + */ + function tagOpen(code) { + // ASCII alphanumerical and `-`. + if (code === 45 || asciiAlphanumeric(code)) { + effects.consume(code) + return tagOpen + } + if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { + return tagOpenBetween(code) + } + return nok(code) + } + + /** + * In opening tag, after tag name. + * + * ```markdown + * > | a <b> c + * ^ + * ``` + * + * @type {State} + */ + function tagOpenBetween(code) { + if (code === 47) { + effects.consume(code) + return end + } + + // ASCII alphabetical and `:` and `_`. + if (code === 58 || code === 95 || asciiAlpha(code)) { + effects.consume(code) + return tagOpenAttributeName + } + if (markdownLineEnding(code)) { + returnState = tagOpenBetween + return lineEndingBefore(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return tagOpenBetween + } + return end(code) + } + + /** + * In attribute name. + * + * ```markdown + * > | a <b c> d + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeName(code) { + // ASCII alphabetical and `-`, `.`, `:`, and `_`. + if ( + code === 45 || + code === 46 || + code === 58 || + code === 95 || + asciiAlphanumeric(code) + ) { + effects.consume(code) + return tagOpenAttributeName + } + return tagOpenAttributeNameAfter(code) + } + + /** + * After attribute name, before initializer, the end of the tag, or + * whitespace. + * + * ```markdown + * > | a <b c> d + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeNameAfter(code) { + if (code === 61) { + effects.consume(code) + return tagOpenAttributeValueBefore + } + if (markdownLineEnding(code)) { + returnState = tagOpenAttributeNameAfter + return lineEndingBefore(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return tagOpenAttributeNameAfter + } + return tagOpenBetween(code) + } + + /** + * Before unquoted, double quoted, or single quoted attribute value, allowing + * whitespace. + * + * ```markdown + * > | a <b c=d> e + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeValueBefore(code) { + if ( + code === null || + code === 60 || + code === 61 || + code === 62 || + code === 96 + ) { + return nok(code) + } + if (code === 34 || code === 39) { + effects.consume(code) + marker = code + return tagOpenAttributeValueQuoted + } + if (markdownLineEnding(code)) { + returnState = tagOpenAttributeValueBefore + return lineEndingBefore(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return tagOpenAttributeValueBefore + } + effects.consume(code) + return tagOpenAttributeValueUnquoted + } + + /** + * In double or single quoted attribute value. + * + * ```markdown + * > | a <b c="d"> e + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeValueQuoted(code) { + if (code === marker) { + effects.consume(code) + marker = undefined + return tagOpenAttributeValueQuotedAfter + } + if (code === null) { + return nok(code) + } + if (markdownLineEnding(code)) { + returnState = tagOpenAttributeValueQuoted + return lineEndingBefore(code) + } + effects.consume(code) + return tagOpenAttributeValueQuoted + } + + /** + * In unquoted attribute value. + * + * ```markdown + * > | a <b c=d> e + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeValueUnquoted(code) { + if ( + code === null || + code === 34 || + code === 39 || + code === 60 || + code === 61 || + code === 96 + ) { + return nok(code) + } + if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { + return tagOpenBetween(code) + } + effects.consume(code) + return tagOpenAttributeValueUnquoted + } + + /** + * After double or single quoted attribute value, before whitespace or the end + * of the tag. + * + * ```markdown + * > | a <b c="d"> e + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeValueQuotedAfter(code) { + if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { + return tagOpenBetween(code) + } + return nok(code) + } + + /** + * In certain circumstances of a tag where only an `>` is allowed. + * + * ```markdown + * > | a <b c="d"> e + * ^ + * ``` + * + * @type {State} + */ + function end(code) { + if (code === 62) { + effects.consume(code) + effects.exit('htmlTextData') + effects.exit('htmlText') + return ok + } + return nok(code) + } + + /** + * At eol. + * + * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about + * > empty tokens. + * + * ```markdown + * > | a <!--a + * ^ + * | b--> + * ``` + * + * @type {State} + */ + function lineEndingBefore(code) { + effects.exit('htmlTextData') + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return lineEndingAfter + } + + /** + * After eol, at optional whitespace. + * + * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about + * > empty tokens. + * + * ```markdown + * | a <!--a + * > | b--> + * ^ + * ``` + * + * @type {State} + */ + function lineEndingAfter(code) { + // Always populated by defaults. + + return markdownSpace(code) + ? factorySpace( + effects, + lineEndingAfterPrefix, + 'linePrefix', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + )(code) + : lineEndingAfterPrefix(code) + } + + /** + * After eol, after optional whitespace. + * + * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about + * > empty tokens. + * + * ```markdown + * | a <!--a + * > | b--> + * ^ + * ``` + * + * @type {State} + */ + function lineEndingAfterPrefix(code) { + effects.enter('htmlTextData') + return returnState(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-start-link.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const labelStartLink = { + name: 'labelStartLink', + tokenize: tokenizeLabelStartLink, + resolveAll: labelEnd.resolveAll +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeLabelStartLink(effects, ok, nok) { + const self = this + return start + + /** + * Start of label (link) start. + * + * ```markdown + * > | a [b] c + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('labelLink') + effects.enter('labelMarker') + effects.consume(code) + effects.exit('labelMarker') + effects.exit('labelLink') + return after + } + + /** @type {State} */ + function after(code) { + // To do: this isn’t needed in `micromark-extension-gfm-footnote`, + // remove. + // Hidden footnotes hook. + /* c8 ignore next 3 */ + return code === 94 && '_hiddenFootnoteSupport' in self.parser.constructs + ? nok(code) + : ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/hard-break-escape.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + +/** @type {Construct} */ +const hardBreakEscape = { + name: 'hardBreakEscape', + tokenize: tokenizeHardBreakEscape +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeHardBreakEscape(effects, ok, nok) { + return start + + /** + * Start of a hard break (escape). + * + * ```markdown + * > | a\ + * ^ + * | b + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('hardBreakEscape') + effects.consume(code) + return after + } + + /** + * After `\`, at eol. + * + * ```markdown + * > | a\ + * ^ + * | b + * ``` + * + * @type {State} + */ + function after(code) { + if (markdownLineEnding(code)) { + effects.exit('hardBreakEscape') + return ok(code) + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-text.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Previous} Previous + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + +/** @type {Construct} */ +const codeText = { + name: 'codeText', + tokenize: tokenizeCodeText, + resolve: resolveCodeText, + previous +} + +// To do: next major: don’t resolve, like `markdown-rs`. +/** @type {Resolver} */ +function resolveCodeText(events) { + let tailExitIndex = events.length - 4 + let headEnterIndex = 3 + /** @type {number} */ + let index + /** @type {number | undefined} */ + let enter + + // If we start and end with an EOL or a space. + if ( + (events[headEnterIndex][1].type === 'lineEnding' || + events[headEnterIndex][1].type === 'space') && + (events[tailExitIndex][1].type === 'lineEnding' || + events[tailExitIndex][1].type === 'space') + ) { + index = headEnterIndex + + // And we have data. + while (++index < tailExitIndex) { + if (events[index][1].type === 'codeTextData') { + // Then we have padding. + events[headEnterIndex][1].type = 'codeTextPadding' + events[tailExitIndex][1].type = 'codeTextPadding' + headEnterIndex += 2 + tailExitIndex -= 2 + break + } + } + } + + // Merge adjacent spaces and data. + index = headEnterIndex - 1 + tailExitIndex++ + while (++index <= tailExitIndex) { + if (enter === undefined) { + if (index !== tailExitIndex && events[index][1].type !== 'lineEnding') { + enter = index + } + } else if ( + index === tailExitIndex || + events[index][1].type === 'lineEnding' + ) { + events[enter][1].type = 'codeTextData' + if (index !== enter + 2) { + events[enter][1].end = events[index - 1][1].end + events.splice(enter + 2, index - enter - 2) + tailExitIndex -= index - enter - 2 + index = enter + 2 + } + enter = undefined + } + } + return events +} + +/** + * @this {TokenizeContext} + * @type {Previous} + */ +function previous(code) { + // If there is a previous code, there will always be a tail. + return ( + code !== 96 || + this.events[this.events.length - 1][1].type === 'characterEscape' + ) +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCodeText(effects, ok, nok) { + const self = this + let sizeOpen = 0 + /** @type {number} */ + let size + /** @type {Token} */ + let token + return start + + /** + * Start of code (text). + * + * ```markdown + * > | `a` + * ^ + * > | \`a` + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('codeText') + effects.enter('codeTextSequence') + return sequenceOpen(code) + } + + /** + * In opening sequence. + * + * ```markdown + * > | `a` + * ^ + * ``` + * + * @type {State} + */ + function sequenceOpen(code) { + if (code === 96) { + effects.consume(code) + sizeOpen++ + return sequenceOpen + } + effects.exit('codeTextSequence') + return between(code) + } + + /** + * Between something and something else. + * + * ```markdown + * > | `a` + * ^^ + * ``` + * + * @type {State} + */ + function between(code) { + // EOF. + if (code === null) { + return nok(code) + } + + // To do: next major: don’t do spaces in resolve, but when compiling, + // like `markdown-rs`. + // Tabs don’t work, and virtual spaces don’t make sense. + if (code === 32) { + effects.enter('space') + effects.consume(code) + effects.exit('space') + return between + } + + // Closing fence? Could also be data. + if (code === 96) { + token = effects.enter('codeTextSequence') + size = 0 + return sequenceClose(code) + } + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return between + } + + // Data. + effects.enter('codeTextData') + return data(code) + } + + /** + * In data. + * + * ```markdown + * > | `a` + * ^ + * ``` + * + * @type {State} + */ + function data(code) { + if ( + code === null || + code === 32 || + code === 96 || + markdownLineEnding(code) + ) { + effects.exit('codeTextData') + return between(code) + } + effects.consume(code) + return data + } + + /** + * In closing sequence. + * + * ```markdown + * > | `a` + * ^ + * ``` + * + * @type {State} + */ + function sequenceClose(code) { + // More. + if (code === 96) { + effects.consume(code) + size++ + return sequenceClose + } + + // Done! + if (size === sizeOpen) { + effects.exit('codeTextSequence') + effects.exit('codeText') + return ok(code) + } + + // More or less accents: mark as data. + token.type = 'codeTextData' + return data(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/constructs.js +/** + * @typedef {import('micromark-util-types').Extension} Extension + */ + + + + +/** @satisfies {Extension['document']} */ +const constructs_document = { + [42]: list, + [43]: list, + [45]: list, + [48]: list, + [49]: list, + [50]: list, + [51]: list, + [52]: list, + [53]: list, + [54]: list, + [55]: list, + [56]: list, + [57]: list, + [62]: blockQuote +} + +/** @satisfies {Extension['contentInitial']} */ +const contentInitial = { + [91]: definition +} + +/** @satisfies {Extension['flowInitial']} */ +const flowInitial = { + [-2]: codeIndented, + [-1]: codeIndented, + [32]: codeIndented +} + +/** @satisfies {Extension['flow']} */ +const constructs_flow = { + [35]: headingAtx, + [42]: thematicBreak, + [45]: [setextUnderline, thematicBreak], + [60]: htmlFlow, + [61]: setextUnderline, + [95]: thematicBreak, + [96]: codeFenced, + [126]: codeFenced +} + +/** @satisfies {Extension['string']} */ +const constructs_string = { + [38]: characterReference, + [92]: characterEscape +} + +/** @satisfies {Extension['text']} */ +const constructs_text = { + [-5]: lineEnding, + [-4]: lineEnding, + [-3]: lineEnding, + [33]: labelStartImage, + [38]: characterReference, + [42]: attention, + [60]: [autolink, htmlText], + [91]: labelStartLink, + [92]: [hardBreakEscape, characterEscape], + [93]: labelEnd, + [95]: attention, + [96]: codeText +} + +/** @satisfies {Extension['insideSpan']} */ +const insideSpan = { + null: [attention, resolver] +} + +/** @satisfies {Extension['attentionMarkers']} */ +const attentionMarkers = { + null: [42, 95] +} + +/** @satisfies {Extension['disable']} */ +const disable = { + null: [] +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/parse.js +/** + * @typedef {import('micromark-util-types').Create} Create + * @typedef {import('micromark-util-types').FullNormalizedExtension} FullNormalizedExtension + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').ParseContext} ParseContext + * @typedef {import('micromark-util-types').ParseOptions} ParseOptions + */ + + + + + + + + + +/** + * @param {ParseOptions | null | undefined} [options] + * @returns {ParseContext} + */ +function parse(options) { + const settings = options || {} + const constructs = + /** @type {FullNormalizedExtension} */ + combineExtensions([constructs_namespaceObject, ...(settings.extensions || [])]) + + /** @type {ParseContext} */ + const parser = { + defined: [], + lazy: {}, + constructs, + content: create(content), + document: create(document_document), + flow: create(flow), + string: create(string), + text: create(text_text) + } + return parser + + /** + * @param {InitialConstruct} initial + */ + function create(initial) { + return creator + /** @type {Create} */ + function creator(from) { + return createTokenizer(parser, initial, from) + } + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/preprocess.js +/** + * @typedef {import('micromark-util-types').Chunk} Chunk + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Encoding} Encoding + * @typedef {import('micromark-util-types').Value} Value + */ + +/** + * @callback Preprocessor + * @param {Value} value + * @param {Encoding | null | undefined} [encoding] + * @param {boolean | null | undefined} [end=false] + * @returns {Array<Chunk>} + */ + +const search = /[\0\t\n\r]/g + +/** + * @returns {Preprocessor} + */ +function preprocess() { + let column = 1 + let buffer = '' + /** @type {boolean | undefined} */ + let start = true + /** @type {boolean | undefined} */ + let atCarriageReturn + return preprocessor + + /** @type {Preprocessor} */ + function preprocessor(value, encoding, end) { + /** @type {Array<Chunk>} */ + const chunks = [] + /** @type {RegExpMatchArray | null} */ + let match + /** @type {number} */ + let next + /** @type {number} */ + let startPosition + /** @type {number} */ + let endPosition + /** @type {Code} */ + let code + + // @ts-expect-error `Buffer` does allow an encoding. + value = buffer + value.toString(encoding) + startPosition = 0 + buffer = '' + if (start) { + // To do: `markdown-rs` actually parses BOMs (byte order mark). + if (value.charCodeAt(0) === 65279) { + startPosition++ + } + start = undefined + } + while (startPosition < value.length) { + search.lastIndex = startPosition + match = search.exec(value) + endPosition = + match && match.index !== undefined ? match.index : value.length + code = value.charCodeAt(endPosition) + if (!match) { + buffer = value.slice(startPosition) + break + } + if (code === 10 && startPosition === endPosition && atCarriageReturn) { + chunks.push(-3) + atCarriageReturn = undefined + } else { + if (atCarriageReturn) { + chunks.push(-5) + atCarriageReturn = undefined + } + if (startPosition < endPosition) { + chunks.push(value.slice(startPosition, endPosition)) + column += endPosition - startPosition + } + switch (code) { + case 0: { + chunks.push(65533) + column++ + break + } + case 9: { + next = Math.ceil(column / 4) * 4 + chunks.push(-2) + while (column++ < next) chunks.push(-1) + break + } + case 10: { + chunks.push(-4) + column = 1 + break + } + default: { + atCarriageReturn = true + column = 1 + } + } + } + startPosition = endPosition + 1 + } + if (end) { + if (atCarriageReturn) chunks.push(-5) + if (buffer) chunks.push(buffer) + chunks.push(null) + } + return chunks + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/postprocess.js +/** + * @typedef {import('micromark-util-types').Event} Event + */ + + + +/** + * @param {Array<Event>} events + * @returns {Array<Event>} + */ +function postprocess(events) { + while (!subtokenize(events)) { + // Empty + } + return events +} + +;// CONCATENATED MODULE: ./node_modules/micromark-util-decode-numeric-character-reference/index.js +/** + * Turn the number (in string form as either hexa- or plain decimal) coming from + * a numeric character reference into a character. + * + * Sort of like `String.fromCharCode(Number.parseInt(value, base))`, but makes + * non-characters and control characters safe. + * + * @param {string} value + * Value to decode. + * @param {number} base + * Numeric base. + * @returns {string} + * Character. + */ +function decodeNumericCharacterReference(value, base) { + const code = Number.parseInt(value, base) + if ( + // C0 except for HT, LF, FF, CR, space. + code < 9 || + code === 11 || + (code > 13 && code < 32) || + // Control character (DEL) of C0, and C1 controls. + (code > 126 && code < 160) || + // Lone high surrogates and low surrogates. + (code > 55295 && code < 57344) || + // Noncharacters. + (code > 64975 && code < 65008) /* eslint-disable no-bitwise */ || + (code & 65535) === 65535 || + (code & 65535) === 65534 /* eslint-enable no-bitwise */ || + // Out of range + code > 1114111 + ) { + return '\uFFFD' + } + return String.fromCharCode(code) +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-decode-string/index.js + + +const characterEscapeOrReference = + /\\([!-/:-@[-`{-~])|&(#(?:\d{1,7}|x[\da-f]{1,6})|[\da-z]{1,31});/gi + +/** + * Decode markdown strings (which occur in places such as fenced code info + * strings, destinations, labels, and titles). + * + * The “string” content type allows character escapes and -references. + * This decodes those. + * + * @param {string} value + * Value to decode. + * @returns {string} + * Decoded value. + */ +function decodeString(value) { + return value.replace(characterEscapeOrReference, decode) +} + +/** + * @param {string} $0 + * @param {string} $1 + * @param {string} $2 + * @returns {string} + */ +function decode($0, $1, $2) { + if ($1) { + // Escape. + return $1 + } + + // Reference. + const head = $2.charCodeAt(0) + if (head === 35) { + const head = $2.charCodeAt(1) + const hex = head === 120 || head === 88 + return decodeNumericCharacterReference($2.slice(hex ? 2 : 1), hex ? 16 : 10) + } + return decodeNamedCharacterReference($2) || $0 +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/unist-util-stringify-position/lib/index.js +/** + * @typedef {import('unist').Node} Node + * @typedef {import('unist').Point} Point + * @typedef {import('unist').Position} Position + */ + +/** + * @typedef NodeLike + * @property {string} type + * @property {PositionLike | null | undefined} [position] + * + * @typedef PositionLike + * @property {PointLike | null | undefined} [start] + * @property {PointLike | null | undefined} [end] + * + * @typedef PointLike + * @property {number | null | undefined} [line] + * @property {number | null | undefined} [column] + * @property {number | null | undefined} [offset] + */ + +/** + * Serialize the positional info of a point, position (start and end points), + * or node. + * + * @param {Node | NodeLike | Position | PositionLike | Point | PointLike | null | undefined} [value] + * Node, position, or point. + * @returns {string} + * Pretty printed positional info of a node (`string`). + * + * In the format of a range `ls:cs-le:ce` (when given `node` or `position`) + * or a point `l:c` (when given `point`), where `l` stands for line, `c` for + * column, `s` for `start`, and `e` for end. + * An empty string (`''`) is returned if the given value is neither `node`, + * `position`, nor `point`. + */ +function stringifyPosition(value) { + // Nothing. + if (!value || typeof value !== 'object') { + return '' + } + + // Node. + if ('position' in value || 'type' in value) { + return position(value.position) + } + + // Position. + if ('start' in value || 'end' in value) { + return position(value) + } + + // Point. + if ('line' in value || 'column' in value) { + return point(value) + } + + // ? + return '' +} + +/** + * @param {Point | PointLike | null | undefined} point + * @returns {string} + */ +function point(point) { + return index(point && point.line) + ':' + index(point && point.column) +} + +/** + * @param {Position | PositionLike | null | undefined} pos + * @returns {string} + */ +function position(pos) { + return point(pos && pos.start) + '-' + point(pos && pos.end) +} + +/** + * @param {number | null | undefined} value + * @returns {number} + */ +function index(value) { + return value && typeof value === 'number' ? value : 1 +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-from-markdown/lib/index.js +/** + * @typedef {import('micromark-util-types').Encoding} Encoding + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').ParseOptions} ParseOptions + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Value} Value + * + * @typedef {import('unist').Parent} UnistParent + * @typedef {import('unist').Point} Point + * + * @typedef {import('mdast').PhrasingContent} PhrasingContent + * @typedef {import('mdast').StaticPhrasingContent} StaticPhrasingContent + * @typedef {import('mdast').Content} Content + * @typedef {import('mdast').Break} Break + * @typedef {import('mdast').Blockquote} Blockquote + * @typedef {import('mdast').Code} Code + * @typedef {import('mdast').Definition} Definition + * @typedef {import('mdast').Emphasis} Emphasis + * @typedef {import('mdast').Heading} Heading + * @typedef {import('mdast').HTML} HTML + * @typedef {import('mdast').Image} Image + * @typedef {import('mdast').ImageReference} ImageReference + * @typedef {import('mdast').InlineCode} InlineCode + * @typedef {import('mdast').Link} Link + * @typedef {import('mdast').LinkReference} LinkReference + * @typedef {import('mdast').List} List + * @typedef {import('mdast').ListItem} ListItem + * @typedef {import('mdast').Paragraph} Paragraph + * @typedef {import('mdast').Root} Root + * @typedef {import('mdast').Strong} Strong + * @typedef {import('mdast').Text} Text + * @typedef {import('mdast').ThematicBreak} ThematicBreak + * @typedef {import('mdast').ReferenceType} ReferenceType + * @typedef {import('../index.js').CompileData} CompileData + */ + +/** + * @typedef {Root | Content} Node + * @typedef {Extract<Node, UnistParent>} Parent + * + * @typedef {Omit<UnistParent, 'type' | 'children'> & {type: 'fragment', children: Array<PhrasingContent>}} Fragment + */ + +/** + * @callback Transform + * Extra transform, to change the AST afterwards. + * @param {Root} tree + * Tree to transform. + * @returns {Root | undefined | null | void} + * New tree or nothing (in which case the current tree is used). + * + * @callback Handle + * Handle a token. + * @param {CompileContext} this + * Context. + * @param {Token} token + * Current token. + * @returns {void} + * Nothing. + * + * @typedef {Record<string, Handle>} Handles + * Token types mapping to handles + * + * @callback OnEnterError + * Handle the case where the `right` token is open, but it is closed (by the + * `left` token) or because we reached the end of the document. + * @param {Omit<CompileContext, 'sliceSerialize'>} this + * Context. + * @param {Token | undefined} left + * Left token. + * @param {Token} right + * Right token. + * @returns {void} + * Nothing. + * + * @callback OnExitError + * Handle the case where the `right` token is open but it is closed by + * exiting the `left` token. + * @param {Omit<CompileContext, 'sliceSerialize'>} this + * Context. + * @param {Token} left + * Left token. + * @param {Token} right + * Right token. + * @returns {void} + * Nothing. + * + * @typedef {[Token, OnEnterError | undefined]} TokenTuple + * Open token on the stack, with an optional error handler for when + * that token isn’t closed properly. + */ + +/** + * @typedef Config + * Configuration. + * + * We have our defaults, but extensions will add more. + * @property {Array<string>} canContainEols + * Token types where line endings are used. + * @property {Handles} enter + * Opening handles. + * @property {Handles} exit + * Closing handles. + * @property {Array<Transform>} transforms + * Tree transforms. + * + * @typedef {Partial<Config>} Extension + * Change how markdown tokens from micromark are turned into mdast. + * + * @typedef CompileContext + * mdast compiler context. + * @property {Array<Node | Fragment>} stack + * Stack of nodes. + * @property {Array<TokenTuple>} tokenStack + * Stack of tokens. + * @property {<Key extends keyof CompileData>(key: Key) => CompileData[Key]} getData + * Get data from the key/value store. + * @property {<Key extends keyof CompileData>(key: Key, value?: CompileData[Key]) => void} setData + * Set data into the key/value store. + * @property {(this: CompileContext) => void} buffer + * Capture some of the output data. + * @property {(this: CompileContext) => string} resume + * Stop capturing and access the output data. + * @property {<Kind extends Node>(this: CompileContext, node: Kind, token: Token, onError?: OnEnterError) => Kind} enter + * Enter a token. + * @property {(this: CompileContext, token: Token, onError?: OnExitError) => Node} exit + * Exit a token. + * @property {TokenizeContext['sliceSerialize']} sliceSerialize + * Get the string value of a token. + * @property {Config} config + * Configuration. + * + * @typedef FromMarkdownOptions + * Configuration for how to build mdast. + * @property {Array<Extension | Array<Extension>> | null | undefined} [mdastExtensions] + * Extensions for this utility to change how tokens are turned into a tree. + * + * @typedef {ParseOptions & FromMarkdownOptions} Options + * Configuration. + */ + +// To do: micromark: create a registry of tokens? +// To do: next major: don’t return given `Node` from `enter`. +// To do: next major: remove setter/getter. + + + + + + + + + + +const lib_own = {}.hasOwnProperty + +/** + * @param value + * Markdown to parse. + * @param encoding + * Character encoding for when `value` is `Buffer`. + * @param options + * Configuration. + * @returns + * mdast tree. + */ +const fromMarkdown = + /** + * @type {( + * ((value: Value, encoding: Encoding, options?: Options | null | undefined) => Root) & + * ((value: Value, options?: Options | null | undefined) => Root) + * )} + */ + + /** + * @param {Value} value + * @param {Encoding | Options | null | undefined} [encoding] + * @param {Options | null | undefined} [options] + * @returns {Root} + */ + function (value, encoding, options) { + if (typeof encoding !== 'string') { + options = encoding + encoding = undefined + } + return compiler(options)( + postprocess( + parse(options).document().write(preprocess()(value, encoding, true)) + ) + ) + } + +/** + * Note this compiler only understand complete buffering, not streaming. + * + * @param {Options | null | undefined} [options] + */ +function compiler(options) { + /** @type {Config} */ + const config = { + transforms: [], + canContainEols: ['emphasis', 'fragment', 'heading', 'paragraph', 'strong'], + enter: { + autolink: opener(link), + autolinkProtocol: onenterdata, + autolinkEmail: onenterdata, + atxHeading: opener(heading), + blockQuote: opener(blockQuote), + characterEscape: onenterdata, + characterReference: onenterdata, + codeFenced: opener(codeFlow), + codeFencedFenceInfo: buffer, + codeFencedFenceMeta: buffer, + codeIndented: opener(codeFlow, buffer), + codeText: opener(codeText, buffer), + codeTextData: onenterdata, + data: onenterdata, + codeFlowValue: onenterdata, + definition: opener(definition), + definitionDestinationString: buffer, + definitionLabelString: buffer, + definitionTitleString: buffer, + emphasis: opener(emphasis), + hardBreakEscape: opener(hardBreak), + hardBreakTrailing: opener(hardBreak), + htmlFlow: opener(html, buffer), + htmlFlowData: onenterdata, + htmlText: opener(html, buffer), + htmlTextData: onenterdata, + image: opener(image), + label: buffer, + link: opener(link), + listItem: opener(listItem), + listItemValue: onenterlistitemvalue, + listOrdered: opener(list, onenterlistordered), + listUnordered: opener(list), + paragraph: opener(paragraph), + reference: onenterreference, + referenceString: buffer, + resourceDestinationString: buffer, + resourceTitleString: buffer, + setextHeading: opener(heading), + strong: opener(strong), + thematicBreak: opener(thematicBreak) + }, + exit: { + atxHeading: closer(), + atxHeadingSequence: onexitatxheadingsequence, + autolink: closer(), + autolinkEmail: onexitautolinkemail, + autolinkProtocol: onexitautolinkprotocol, + blockQuote: closer(), + characterEscapeValue: onexitdata, + characterReferenceMarkerHexadecimal: onexitcharacterreferencemarker, + characterReferenceMarkerNumeric: onexitcharacterreferencemarker, + characterReferenceValue: onexitcharacterreferencevalue, + codeFenced: closer(onexitcodefenced), + codeFencedFence: onexitcodefencedfence, + codeFencedFenceInfo: onexitcodefencedfenceinfo, + codeFencedFenceMeta: onexitcodefencedfencemeta, + codeFlowValue: onexitdata, + codeIndented: closer(onexitcodeindented), + codeText: closer(onexitcodetext), + codeTextData: onexitdata, + data: onexitdata, + definition: closer(), + definitionDestinationString: onexitdefinitiondestinationstring, + definitionLabelString: onexitdefinitionlabelstring, + definitionTitleString: onexitdefinitiontitlestring, + emphasis: closer(), + hardBreakEscape: closer(onexithardbreak), + hardBreakTrailing: closer(onexithardbreak), + htmlFlow: closer(onexithtmlflow), + htmlFlowData: onexitdata, + htmlText: closer(onexithtmltext), + htmlTextData: onexitdata, + image: closer(onexitimage), + label: onexitlabel, + labelText: onexitlabeltext, + lineEnding: onexitlineending, + link: closer(onexitlink), + listItem: closer(), + listOrdered: closer(), + listUnordered: closer(), + paragraph: closer(), + referenceString: onexitreferencestring, + resourceDestinationString: onexitresourcedestinationstring, + resourceTitleString: onexitresourcetitlestring, + resource: onexitresource, + setextHeading: closer(onexitsetextheading), + setextHeadingLineSequence: onexitsetextheadinglinesequence, + setextHeadingText: onexitsetextheadingtext, + strong: closer(), + thematicBreak: closer() + } + } + configure(config, (options || {}).mdastExtensions || []) + + /** @type {CompileData} */ + const data = {} + return compile + + /** + * Turn micromark events into an mdast tree. + * + * @param {Array<Event>} events + * Events. + * @returns {Root} + * mdast tree. + */ + function compile(events) { + /** @type {Root} */ + let tree = { + type: 'root', + children: [] + } + /** @type {Omit<CompileContext, 'sliceSerialize'>} */ + const context = { + stack: [tree], + tokenStack: [], + config, + enter, + exit, + buffer, + resume, + setData, + getData + } + /** @type {Array<number>} */ + const listStack = [] + let index = -1 + while (++index < events.length) { + // We preprocess lists to add `listItem` tokens, and to infer whether + // items the list itself are spread out. + if ( + events[index][1].type === 'listOrdered' || + events[index][1].type === 'listUnordered' + ) { + if (events[index][0] === 'enter') { + listStack.push(index) + } else { + const tail = listStack.pop() + index = prepareList(events, tail, index) + } + } + } + index = -1 + while (++index < events.length) { + const handler = config[events[index][0]] + if (lib_own.call(handler, events[index][1].type)) { + handler[events[index][1].type].call( + Object.assign( + { + sliceSerialize: events[index][2].sliceSerialize + }, + context + ), + events[index][1] + ) + } + } + + // Handle tokens still being open. + if (context.tokenStack.length > 0) { + const tail = context.tokenStack[context.tokenStack.length - 1] + const handler = tail[1] || defaultOnError + handler.call(context, undefined, tail[0]) + } + + // Figure out `root` position. + tree.position = { + start: lib_point( + events.length > 0 + ? events[0][1].start + : { + line: 1, + column: 1, + offset: 0 + } + ), + end: lib_point( + events.length > 0 + ? events[events.length - 2][1].end + : { + line: 1, + column: 1, + offset: 0 + } + ) + } + + // Call transforms. + index = -1 + while (++index < config.transforms.length) { + tree = config.transforms[index](tree) || tree + } + return tree + } + + /** + * @param {Array<Event>} events + * @param {number} start + * @param {number} length + * @returns {number} + */ + function prepareList(events, start, length) { + let index = start - 1 + let containerBalance = -1 + let listSpread = false + /** @type {Token | undefined} */ + let listItem + /** @type {number | undefined} */ + let lineIndex + /** @type {number | undefined} */ + let firstBlankLineIndex + /** @type {boolean | undefined} */ + let atMarker + while (++index <= length) { + const event = events[index] + if ( + event[1].type === 'listUnordered' || + event[1].type === 'listOrdered' || + event[1].type === 'blockQuote' + ) { + if (event[0] === 'enter') { + containerBalance++ + } else { + containerBalance-- + } + atMarker = undefined + } else if (event[1].type === 'lineEndingBlank') { + if (event[0] === 'enter') { + if ( + listItem && + !atMarker && + !containerBalance && + !firstBlankLineIndex + ) { + firstBlankLineIndex = index + } + atMarker = undefined + } + } else if ( + event[1].type === 'linePrefix' || + event[1].type === 'listItemValue' || + event[1].type === 'listItemMarker' || + event[1].type === 'listItemPrefix' || + event[1].type === 'listItemPrefixWhitespace' + ) { + // Empty. + } else { + atMarker = undefined + } + if ( + (!containerBalance && + event[0] === 'enter' && + event[1].type === 'listItemPrefix') || + (containerBalance === -1 && + event[0] === 'exit' && + (event[1].type === 'listUnordered' || + event[1].type === 'listOrdered')) + ) { + if (listItem) { + let tailIndex = index + lineIndex = undefined + while (tailIndex--) { + const tailEvent = events[tailIndex] + if ( + tailEvent[1].type === 'lineEnding' || + tailEvent[1].type === 'lineEndingBlank' + ) { + if (tailEvent[0] === 'exit') continue + if (lineIndex) { + events[lineIndex][1].type = 'lineEndingBlank' + listSpread = true + } + tailEvent[1].type = 'lineEnding' + lineIndex = tailIndex + } else if ( + tailEvent[1].type === 'linePrefix' || + tailEvent[1].type === 'blockQuotePrefix' || + tailEvent[1].type === 'blockQuotePrefixWhitespace' || + tailEvent[1].type === 'blockQuoteMarker' || + tailEvent[1].type === 'listItemIndent' + ) { + // Empty + } else { + break + } + } + if ( + firstBlankLineIndex && + (!lineIndex || firstBlankLineIndex < lineIndex) + ) { + listItem._spread = true + } + + // Fix position. + listItem.end = Object.assign( + {}, + lineIndex ? events[lineIndex][1].start : event[1].end + ) + events.splice(lineIndex || index, 0, ['exit', listItem, event[2]]) + index++ + length++ + } + + // Create a new list item. + if (event[1].type === 'listItemPrefix') { + listItem = { + type: 'listItem', + _spread: false, + start: Object.assign({}, event[1].start), + // @ts-expect-error: we’ll add `end` in a second. + end: undefined + } + // @ts-expect-error: `listItem` is most definitely defined, TS... + events.splice(index, 0, ['enter', listItem, event[2]]) + index++ + length++ + firstBlankLineIndex = undefined + atMarker = true + } + } + } + events[start][1]._spread = listSpread + return length + } + + /** + * Set data. + * + * @template {keyof CompileData} Key + * Field type. + * @param {Key} key + * Key of field. + * @param {CompileData[Key]} [value] + * New value. + * @returns {void} + * Nothing. + */ + function setData(key, value) { + data[key] = value + } + + /** + * Get data. + * + * @template {keyof CompileData} Key + * Field type. + * @param {Key} key + * Key of field. + * @returns {CompileData[Key]} + * Value. + */ + function getData(key) { + return data[key] + } + + /** + * Create an opener handle. + * + * @param {(token: Token) => Node} create + * Create a node. + * @param {Handle} [and] + * Optional function to also run. + * @returns {Handle} + * Handle. + */ + function opener(create, and) { + return open + + /** + * @this {CompileContext} + * @param {Token} token + * @returns {void} + */ + function open(token) { + enter.call(this, create(token), token) + if (and) and.call(this, token) + } + } + + /** + * @this {CompileContext} + * @returns {void} + */ + function buffer() { + this.stack.push({ + type: 'fragment', + children: [] + }) + } + + /** + * @template {Node} Kind + * Node type. + * @this {CompileContext} + * Context. + * @param {Kind} node + * Node to enter. + * @param {Token} token + * Corresponding token. + * @param {OnEnterError | undefined} [errorHandler] + * Handle the case where this token is open, but it is closed by something else. + * @returns {Kind} + * The given node. + */ + function enter(node, token, errorHandler) { + const parent = this.stack[this.stack.length - 1] + // @ts-expect-error: Assume `Node` can exist as a child of `parent`. + parent.children.push(node) + this.stack.push(node) + this.tokenStack.push([token, errorHandler]) + // @ts-expect-error: `end` will be patched later. + node.position = { + start: lib_point(token.start) + } + return node + } + + /** + * Create a closer handle. + * + * @param {Handle} [and] + * Optional function to also run. + * @returns {Handle} + * Handle. + */ + function closer(and) { + return close + + /** + * @this {CompileContext} + * @param {Token} token + * @returns {void} + */ + function close(token) { + if (and) and.call(this, token) + exit.call(this, token) + } + } + + /** + * @this {CompileContext} + * Context. + * @param {Token} token + * Corresponding token. + * @param {OnExitError | undefined} [onExitError] + * Handle the case where another token is open. + * @returns {Node} + * The closed node. + */ + function exit(token, onExitError) { + const node = this.stack.pop() + const open = this.tokenStack.pop() + if (!open) { + throw new Error( + 'Cannot close `' + + token.type + + '` (' + + stringifyPosition({ + start: token.start, + end: token.end + }) + + '): it’s not open' + ) + } else if (open[0].type !== token.type) { + if (onExitError) { + onExitError.call(this, token, open[0]) + } else { + const handler = open[1] || defaultOnError + handler.call(this, token, open[0]) + } + } + node.position.end = lib_point(token.end) + return node + } + + /** + * @this {CompileContext} + * @returns {string} + */ + function resume() { + return lib_toString(this.stack.pop()) + } + + // + // Handlers. + // + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onenterlistordered() { + setData('expectingFirstListItemValue', true) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onenterlistitemvalue(token) { + if (getData('expectingFirstListItemValue')) { + const ancestor = this.stack[this.stack.length - 2] + ancestor.start = Number.parseInt(this.sliceSerialize(token), 10) + setData('expectingFirstListItemValue') + } + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodefencedfenceinfo() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.lang = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodefencedfencemeta() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.meta = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodefencedfence() { + // Exit if this is the closing fence. + if (getData('flowCodeInside')) return + this.buffer() + setData('flowCodeInside', true) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodefenced() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data.replace(/^(\r?\n|\r)|(\r?\n|\r)$/g, '') + setData('flowCodeInside') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodeindented() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data.replace(/(\r?\n|\r)$/g, '') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitdefinitionlabelstring(token) { + const label = this.resume() + const node = this.stack[this.stack.length - 1] + node.label = label + node.identifier = normalizeIdentifier( + this.sliceSerialize(token) + ).toLowerCase() + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitdefinitiontitlestring() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.title = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitdefinitiondestinationstring() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.url = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitatxheadingsequence(token) { + const node = this.stack[this.stack.length - 1] + if (!node.depth) { + const depth = this.sliceSerialize(token).length + node.depth = depth + } + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitsetextheadingtext() { + setData('setextHeadingSlurpLineEnding', true) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitsetextheadinglinesequence(token) { + const node = this.stack[this.stack.length - 1] + node.depth = this.sliceSerialize(token).charCodeAt(0) === 61 ? 1 : 2 + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitsetextheading() { + setData('setextHeadingSlurpLineEnding') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onenterdata(token) { + const node = this.stack[this.stack.length - 1] + let tail = node.children[node.children.length - 1] + if (!tail || tail.type !== 'text') { + // Add a new text node. + tail = text() + // @ts-expect-error: we’ll add `end` later. + tail.position = { + start: lib_point(token.start) + } + // @ts-expect-error: Assume `parent` accepts `text`. + node.children.push(tail) + } + this.stack.push(tail) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitdata(token) { + const tail = this.stack.pop() + tail.value += this.sliceSerialize(token) + tail.position.end = lib_point(token.end) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitlineending(token) { + const context = this.stack[this.stack.length - 1] + // If we’re at a hard break, include the line ending in there. + if (getData('atHardBreak')) { + const tail = context.children[context.children.length - 1] + tail.position.end = lib_point(token.end) + setData('atHardBreak') + return + } + if ( + !getData('setextHeadingSlurpLineEnding') && + config.canContainEols.includes(context.type) + ) { + onenterdata.call(this, token) + onexitdata.call(this, token) + } + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexithardbreak() { + setData('atHardBreak', true) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexithtmlflow() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexithtmltext() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitcodetext() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitlink() { + const node = this.stack[this.stack.length - 1] + // Note: there are also `identifier` and `label` fields on this link node! + // These are used / cleaned here. + // To do: clean. + if (getData('inReference')) { + /** @type {ReferenceType} */ + const referenceType = getData('referenceType') || 'shortcut' + node.type += 'Reference' + // @ts-expect-error: mutate. + node.referenceType = referenceType + // @ts-expect-error: mutate. + delete node.url + delete node.title + } else { + // @ts-expect-error: mutate. + delete node.identifier + // @ts-expect-error: mutate. + delete node.label + } + setData('referenceType') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitimage() { + const node = this.stack[this.stack.length - 1] + // Note: there are also `identifier` and `label` fields on this link node! + // These are used / cleaned here. + // To do: clean. + if (getData('inReference')) { + /** @type {ReferenceType} */ + const referenceType = getData('referenceType') || 'shortcut' + node.type += 'Reference' + // @ts-expect-error: mutate. + node.referenceType = referenceType + // @ts-expect-error: mutate. + delete node.url + delete node.title + } else { + // @ts-expect-error: mutate. + delete node.identifier + // @ts-expect-error: mutate. + delete node.label + } + setData('referenceType') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitlabeltext(token) { + const string = this.sliceSerialize(token) + const ancestor = this.stack[this.stack.length - 2] + // @ts-expect-error: stash this on the node, as it might become a reference + // later. + ancestor.label = decodeString(string) + // @ts-expect-error: same as above. + ancestor.identifier = normalizeIdentifier(string).toLowerCase() + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitlabel() { + const fragment = this.stack[this.stack.length - 1] + const value = this.resume() + const node = this.stack[this.stack.length - 1] + // Assume a reference. + setData('inReference', true) + if (node.type === 'link') { + /** @type {Array<StaticPhrasingContent>} */ + // @ts-expect-error: Assume static phrasing content. + const children = fragment.children + node.children = children + } else { + node.alt = value + } + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitresourcedestinationstring() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.url = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitresourcetitlestring() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.title = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitresource() { + setData('inReference') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onenterreference() { + setData('referenceType', 'collapsed') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitreferencestring(token) { + const label = this.resume() + const node = this.stack[this.stack.length - 1] + // @ts-expect-error: stash this on the node, as it might become a reference + // later. + node.label = label + // @ts-expect-error: same as above. + node.identifier = normalizeIdentifier( + this.sliceSerialize(token) + ).toLowerCase() + setData('referenceType', 'full') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitcharacterreferencemarker(token) { + setData('characterReferenceType', token.type) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcharacterreferencevalue(token) { + const data = this.sliceSerialize(token) + const type = getData('characterReferenceType') + /** @type {string} */ + let value + if (type) { + value = decodeNumericCharacterReference( + data, + type === 'characterReferenceMarkerNumeric' ? 10 : 16 + ) + setData('characterReferenceType') + } else { + const result = decodeNamedCharacterReference(data) + value = result + } + const tail = this.stack.pop() + tail.value += value + tail.position.end = lib_point(token.end) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitautolinkprotocol(token) { + onexitdata.call(this, token) + const node = this.stack[this.stack.length - 1] + node.url = this.sliceSerialize(token) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitautolinkemail(token) { + onexitdata.call(this, token) + const node = this.stack[this.stack.length - 1] + node.url = 'mailto:' + this.sliceSerialize(token) + } + + // + // Creaters. + // + + /** @returns {Blockquote} */ + function blockQuote() { + return { + type: 'blockquote', + children: [] + } + } + + /** @returns {Code} */ + function codeFlow() { + return { + type: 'code', + lang: null, + meta: null, + value: '' + } + } + + /** @returns {InlineCode} */ + function codeText() { + return { + type: 'inlineCode', + value: '' + } + } + + /** @returns {Definition} */ + function definition() { + return { + type: 'definition', + identifier: '', + label: null, + title: null, + url: '' + } + } + + /** @returns {Emphasis} */ + function emphasis() { + return { + type: 'emphasis', + children: [] + } + } + + /** @returns {Heading} */ + function heading() { + // @ts-expect-error `depth` will be set later. + return { + type: 'heading', + depth: undefined, + children: [] + } + } + + /** @returns {Break} */ + function hardBreak() { + return { + type: 'break' + } + } + + /** @returns {HTML} */ + function html() { + return { + type: 'html', + value: '' + } + } + + /** @returns {Image} */ + function image() { + return { + type: 'image', + title: null, + url: '', + alt: null + } + } + + /** @returns {Link} */ + function link() { + return { + type: 'link', + title: null, + url: '', + children: [] + } + } + + /** + * @param {Token} token + * @returns {List} + */ + function list(token) { + return { + type: 'list', + ordered: token.type === 'listOrdered', + start: null, + spread: token._spread, + children: [] + } + } + + /** + * @param {Token} token + * @returns {ListItem} + */ + function listItem(token) { + return { + type: 'listItem', + spread: token._spread, + checked: null, + children: [] + } + } + + /** @returns {Paragraph} */ + function paragraph() { + return { + type: 'paragraph', + children: [] + } + } + + /** @returns {Strong} */ + function strong() { + return { + type: 'strong', + children: [] + } + } + + /** @returns {Text} */ + function text() { + return { + type: 'text', + value: '' + } + } + + /** @returns {ThematicBreak} */ + function thematicBreak() { + return { + type: 'thematicBreak' + } + } +} + +/** + * Copy a point-like value. + * + * @param {Point} d + * Point-like value. + * @returns {Point} + * unist point. + */ +function lib_point(d) { + return { + line: d.line, + column: d.column, + offset: d.offset + } +} + +/** + * @param {Config} combined + * @param {Array<Extension | Array<Extension>>} extensions + * @returns {void} + */ +function configure(combined, extensions) { + let index = -1 + while (++index < extensions.length) { + const value = extensions[index] + if (Array.isArray(value)) { + configure(combined, value) + } else { + extension(combined, value) + } + } +} + +/** + * @param {Config} combined + * @param {Extension} extension + * @returns {void} + */ +function extension(combined, extension) { + /** @type {keyof Extension} */ + let key + for (key in extension) { + if (lib_own.call(extension, key)) { + if (key === 'canContainEols') { + const right = extension[key] + if (right) { + combined[key].push(...right) + } + } else if (key === 'transforms') { + const right = extension[key] + if (right) { + combined[key].push(...right) + } + } else if (key === 'enter' || key === 'exit') { + const right = extension[key] + if (right) { + Object.assign(combined[key], right) + } + } + } + } +} + +/** @type {OnEnterError} */ +function defaultOnError(left, right) { + if (left) { + throw new Error( + 'Cannot close `' + + left.type + + '` (' + + stringifyPosition({ + start: left.start, + end: left.end + }) + + '): a different token (`' + + right.type + + '`, ' + + stringifyPosition({ + start: right.start, + end: right.end + }) + + ') is open' + ) + } else { + throw new Error( + 'Cannot close document, a token (`' + + right.type + + '`, ' + + stringifyPosition({ + start: right.start, + end: right.end + }) + + ') is still open' + ) + } +} + +// EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js +var esm = __webpack_require__(71408); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-423428c9.js + + + +function preprocessMarkdown(markdown) { + const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); + const withoutExtraSpaces = (0,esm/* dedent */.s)(withoutMultipleNewlines); + return withoutExtraSpaces; +} +function markdownToLines(markdown) { + const preprocessedMarkdown = preprocessMarkdown(markdown); + const { children } = fromMarkdown(preprocessedMarkdown); + const lines = [[]]; + let currentLine = 0; + function processNode(node, parentType = "normal") { + if (node.type === "text") { + const textLines = node.value.split("\n"); + textLines.forEach((textLine, index) => { + if (index !== 0) { + currentLine++; + lines.push([]); + } + textLine.split(" ").forEach((word) => { + if (word) { + lines[currentLine].push({ content: word, type: parentType }); + } + }); + }); + } else if (node.type === "strong" || node.type === "emphasis") { + node.children.forEach((contentNode) => { + processNode(contentNode, node.type); + }); + } + } + children.forEach((treeNode) => { + if (treeNode.type === "paragraph") { + treeNode.children.forEach((contentNode) => { + processNode(contentNode); + }); + } + }); + return lines; +} +function markdownToHTML(markdown) { + const { children } = fromMarkdown(markdown); + function output(node) { + if (node.type === "text") { + return node.value.replace(/\n/g, "<br/>"); + } else if (node.type === "strong") { + return `<strong>${node.children.map(output).join("")}</strong>`; + } else if (node.type === "emphasis") { + return `<em>${node.children.map(output).join("")}</em>`; + } else if (node.type === "paragraph") { + return `<p>${node.children.map(output).join("")}</p>`; + } + return `Unsupported markdown: ${node.type}`; + } + return children.map(output).join(""); +} +function splitTextToChars(text) { + if (Intl.Segmenter) { + return [...new Intl.Segmenter().segment(text)].map((s) => s.segment); + } + return [...text]; +} +function splitWordToFitWidth(checkFit, word) { + const characters = splitTextToChars(word.content); + return splitWordToFitWidthRecursion(checkFit, [], characters, word.type); +} +function splitWordToFitWidthRecursion(checkFit, usedChars, remainingChars, type) { + if (remainingChars.length === 0) { + return [ + { content: usedChars.join(""), type }, + { content: "", type } + ]; + } + const [nextChar, ...rest] = remainingChars; + const newWord = [...usedChars, nextChar]; + if (checkFit([{ content: newWord.join(""), type }])) { + return splitWordToFitWidthRecursion(checkFit, newWord, rest, type); + } + if (usedChars.length === 0 && nextChar) { + usedChars.push(nextChar); + remainingChars.shift(); + } + return [ + { content: usedChars.join(""), type }, + { content: remainingChars.join(""), type } + ]; +} +function splitLineToFitWidth(line, checkFit) { + if (line.some(({ content }) => content.includes("\n"))) { + throw new Error("splitLineToFitWidth does not support newlines in the line"); + } + return splitLineToFitWidthRecursion(line, checkFit); +} +function splitLineToFitWidthRecursion(words, checkFit, lines = [], newLine = []) { + if (words.length === 0) { + if (newLine.length > 0) { + lines.push(newLine); + } + return lines.length > 0 ? lines : []; + } + let joiner = ""; + if (words[0].content === " ") { + joiner = " "; + words.shift(); + } + const nextWord = words.shift() ?? { content: " ", type: "normal" }; + const lineWithNextWord = [...newLine]; + if (joiner !== "") { + lineWithNextWord.push({ content: joiner, type: "normal" }); + } + lineWithNextWord.push(nextWord); + if (checkFit(lineWithNextWord)) { + return splitLineToFitWidthRecursion(words, checkFit, lines, lineWithNextWord); + } + if (newLine.length > 0) { + lines.push(newLine); + words.unshift(nextWord); + } else if (nextWord.content) { + const [line, rest] = splitWordToFitWidth(checkFit, nextWord); + lines.push([line]); + if (rest.content) { + words.unshift(rest); + } + } + return splitLineToFitWidthRecursion(words, checkFit, lines); +} +function applyStyle(dom, styleFn) { + if (styleFn) { + dom.attr("style", styleFn); + } +} +function addHtmlSpan(element, node, width, classes, addBackground = false) { + const fo = element.append("foreignObject"); + const div = fo.append("xhtml:div"); + const label = node.label; + const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; + div.html( + ` + <span class="${labelClass} ${classes}" ` + (node.labelStyle ? 'style="' + node.labelStyle + '"' : "") + ">" + label + "</span>" + ); + applyStyle(div, node.labelStyle); + div.style("display", "table-cell"); + div.style("white-space", "nowrap"); + div.style("max-width", width + "px"); + div.attr("xmlns", "http://www.w3.org/1999/xhtml"); + if (addBackground) { + div.attr("class", "labelBkg"); + } + let bbox = div.node().getBoundingClientRect(); + if (bbox.width === width) { + div.style("display", "table"); + div.style("white-space", "break-spaces"); + div.style("width", width + "px"); + bbox = div.node().getBoundingClientRect(); + } + fo.style("width", bbox.width); + fo.style("height", bbox.height); + return fo.node(); +} +function createTspan(textElement, lineIndex, lineHeight) { + return textElement.append("tspan").attr("class", "text-outer-tspan").attr("x", 0).attr("y", lineIndex * lineHeight - 0.1 + "em").attr("dy", lineHeight + "em"); +} +function computeWidthOfText(parentNode, lineHeight, line) { + const testElement = parentNode.append("text"); + const testSpan = createTspan(testElement, 1, lineHeight); + updateTextContentAndStyles(testSpan, line); + const textLength = testSpan.node().getComputedTextLength(); + testElement.remove(); + return textLength; +} +function computeDimensionOfText(parentNode, lineHeight, text) { + var _a; + const testElement = parentNode.append("text"); + const testSpan = createTspan(testElement, 1, lineHeight); + updateTextContentAndStyles(testSpan, [{ content: text, type: "normal" }]); + const textDimension = (_a = testSpan.node()) == null ? void 0 : _a.getBoundingClientRect(); + if (textDimension) { + testElement.remove(); + } + return textDimension; +} +function createFormattedText(width, g, structuredText, addBackground = false) { + const lineHeight = 1.1; + const labelGroup = g.append("g"); + const bkg = labelGroup.insert("rect").attr("class", "background"); + const textElement = labelGroup.append("text").attr("y", "-10.1"); + let lineIndex = 0; + for (const line of structuredText) { + const checkWidth = (line2) => computeWidthOfText(labelGroup, lineHeight, line2) <= width; + const linesUnderWidth = checkWidth(line) ? [line] : splitLineToFitWidth(line, checkWidth); + for (const preparedLine of linesUnderWidth) { + const tspan = createTspan(textElement, lineIndex, lineHeight); + updateTextContentAndStyles(tspan, preparedLine); + lineIndex++; + } + } + if (addBackground) { + const bbox = textElement.node().getBBox(); + const padding = 2; + bkg.attr("x", -padding).attr("y", -padding).attr("width", bbox.width + 2 * padding).attr("height", bbox.height + 2 * padding); + return labelGroup.node(); + } else { + return textElement.node(); + } +} +function updateTextContentAndStyles(tspan, wrappedLine) { + tspan.text(""); + wrappedLine.forEach((word, index) => { + const innerTspan = tspan.append("tspan").attr("font-style", word.type === "emphasis" ? "italic" : "normal").attr("class", "text-inner-tspan").attr("font-weight", word.type === "strong" ? "bold" : "normal"); + if (index === 0) { + innerTspan.text(word.content); + } else { + innerTspan.text(" " + word.content); + } + }); +} +const createText = (el, text = "", { + style = "", + isTitle = false, + classes = "", + useHtmlLabels = true, + isNode = true, + width = 200, + addSvgBackground = false +} = {}) => { + mermaid_0603ccf8.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); + if (useHtmlLabels) { + const htmlText = markdownToHTML(text); + const node = { + isNode, + label: (0,mermaid_0603ccf8.J)(htmlText).replace( + /fa[blrs]?:fa-[\w-]+/g, + (s) => `<i class='${s.replace(":", " ")}'></i>` + ), + labelStyle: style.replace("fill:", "color:") + }; + const vertexNode = addHtmlSpan(el, node, width, classes, addSvgBackground); + return vertexNode; + } else { + const structuredText = markdownToLines(text); + const svgLabel = createFormattedText(width, el, structuredText, addSvgBackground); + return svgLabel; + } +}; + + + +/***/ }), + +/***/ 79680: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ a: () => (/* binding */ insertMarkers$1), +/* harmony export */ b: () => (/* binding */ clear$1), +/* harmony export */ c: () => (/* binding */ createLabel$1), +/* harmony export */ d: () => (/* binding */ clear), +/* harmony export */ e: () => (/* binding */ insertNode), +/* harmony export */ f: () => (/* binding */ insertEdgeLabel), +/* harmony export */ g: () => (/* binding */ getSubGraphTitleMargins), +/* harmony export */ h: () => (/* binding */ insertEdge), +/* harmony export */ i: () => (/* binding */ intersectRect$1), +/* harmony export */ j: () => (/* binding */ positionEdgeLabel), +/* harmony export */ k: () => (/* binding */ getLineFunctionsWithOffset), +/* harmony export */ l: () => (/* binding */ labelHelper), +/* harmony export */ m: () => (/* binding */ addEdgeMarkers), +/* harmony export */ p: () => (/* binding */ positionNode), +/* harmony export */ s: () => (/* binding */ setNodeElem), +/* harmony export */ u: () => (/* binding */ updateNodeBounds) +/* harmony export */ }); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(73748); + + + +const insertMarkers = (elem, markerArray, type, id) => { + markerArray.forEach((markerName) => { + markers[markerName](elem, type, id); + }); +}; +const extension = (elem, type, id) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); + elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionStart").attr("class", "marker extension " + type).attr("refX", 18).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 1,7 L18,13 V 1 Z"); + elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionEnd").attr("class", "marker extension " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 1,1 V 13 L18,7 Z"); +}; +const composition = (elem, type, id) => { + elem.append("defs").append("marker").attr("id", id + "_" + type + "-compositionStart").attr("class", "marker composition " + type).attr("refX", 18).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 18,7 L9,13 L1,7 L9,1 Z"); + elem.append("defs").append("marker").attr("id", id + "_" + type + "-compositionEnd").attr("class", "marker composition " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 18,7 L9,13 L1,7 L9,1 Z"); +}; +const aggregation = (elem, type, id) => { + elem.append("defs").append("marker").attr("id", id + "_" + type + "-aggregationStart").attr("class", "marker aggregation " + type).attr("refX", 18).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 18,7 L9,13 L1,7 L9,1 Z"); + elem.append("defs").append("marker").attr("id", id + "_" + type + "-aggregationEnd").attr("class", "marker aggregation " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 18,7 L9,13 L1,7 L9,1 Z"); +}; +const dependency = (elem, type, id) => { + elem.append("defs").append("marker").attr("id", id + "_" + type + "-dependencyStart").attr("class", "marker dependency " + type).attr("refX", 6).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 5,7 L9,13 L1,7 L9,1 Z"); + elem.append("defs").append("marker").attr("id", id + "_" + type + "-dependencyEnd").attr("class", "marker dependency " + type).attr("refX", 13).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 18,7 L9,13 L14,7 L9,1 Z"); +}; +const lollipop = (elem, type, id) => { + elem.append("defs").append("marker").attr("id", id + "_" + type + "-lollipopStart").attr("class", "marker lollipop " + type).attr("refX", 13).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("circle").attr("stroke", "black").attr("fill", "transparent").attr("cx", 7).attr("cy", 7).attr("r", 6); + elem.append("defs").append("marker").attr("id", id + "_" + type + "-lollipopEnd").attr("class", "marker lollipop " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("circle").attr("stroke", "black").attr("fill", "transparent").attr("cx", 7).attr("cy", 7).attr("r", 6); +}; +const point = (elem, type, id) => { + elem.append("marker").attr("id", id + "_" + type + "-pointEnd").attr("class", "marker " + type).attr("viewBox", "0 0 10 10").attr("refX", 6).attr("refY", 5).attr("markerUnits", "userSpaceOnUse").attr("markerWidth", 12).attr("markerHeight", 12).attr("orient", "auto").append("path").attr("d", "M 0 0 L 10 5 L 0 10 z").attr("class", "arrowMarkerPath").style("stroke-width", 1).style("stroke-dasharray", "1,0"); + elem.append("marker").attr("id", id + "_" + type + "-pointStart").attr("class", "marker " + type).attr("viewBox", "0 0 10 10").attr("refX", 4.5).attr("refY", 5).attr("markerUnits", "userSpaceOnUse").attr("markerWidth", 12).attr("markerHeight", 12).attr("orient", "auto").append("path").attr("d", "M 0 5 L 10 10 L 10 0 z").attr("class", "arrowMarkerPath").style("stroke-width", 1).style("stroke-dasharray", "1,0"); +}; +const circle$1 = (elem, type, id) => { + elem.append("marker").attr("id", id + "_" + type + "-circleEnd").attr("class", "marker " + type).attr("viewBox", "0 0 10 10").attr("refX", 11).attr("refY", 5).attr("markerUnits", "userSpaceOnUse").attr("markerWidth", 11).attr("markerHeight", 11).attr("orient", "auto").append("circle").attr("cx", "5").attr("cy", "5").attr("r", "5").attr("class", "arrowMarkerPath").style("stroke-width", 1).style("stroke-dasharray", "1,0"); + elem.append("marker").attr("id", id + "_" + type + "-circleStart").attr("class", "marker " + type).attr("viewBox", "0 0 10 10").attr("refX", -1).attr("refY", 5).attr("markerUnits", "userSpaceOnUse").attr("markerWidth", 11).attr("markerHeight", 11).attr("orient", "auto").append("circle").attr("cx", "5").attr("cy", "5").attr("r", "5").attr("class", "arrowMarkerPath").style("stroke-width", 1).style("stroke-dasharray", "1,0"); +}; +const cross = (elem, type, id) => { + elem.append("marker").attr("id", id + "_" + type + "-crossEnd").attr("class", "marker cross " + type).attr("viewBox", "0 0 11 11").attr("refX", 12).attr("refY", 5.2).attr("markerUnits", "userSpaceOnUse").attr("markerWidth", 11).attr("markerHeight", 11).attr("orient", "auto").append("path").attr("d", "M 1,1 l 9,9 M 10,1 l -9,9").attr("class", "arrowMarkerPath").style("stroke-width", 2).style("stroke-dasharray", "1,0"); + elem.append("marker").attr("id", id + "_" + type + "-crossStart").attr("class", "marker cross " + type).attr("viewBox", "0 0 11 11").attr("refX", -1).attr("refY", 5.2).attr("markerUnits", "userSpaceOnUse").attr("markerWidth", 11).attr("markerHeight", 11).attr("orient", "auto").append("path").attr("d", "M 1,1 l 9,9 M 10,1 l -9,9").attr("class", "arrowMarkerPath").style("stroke-width", 2).style("stroke-dasharray", "1,0"); +}; +const barb = (elem, type, id) => { + elem.append("defs").append("marker").attr("id", id + "_" + type + "-barbEnd").attr("refX", 19).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 14).attr("markerUnits", "strokeWidth").attr("orient", "auto").append("path").attr("d", "M 19,7 L9,13 L14,7 L9,1 Z"); +}; +const markers = { + extension, + composition, + aggregation, + dependency, + lollipop, + point, + circle: circle$1, + cross, + barb +}; +const insertMarkers$1 = insertMarkers; +function applyStyle(dom, styleFn) { + if (styleFn) { + dom.attr("style", styleFn); + } +} +function addHtmlLabel(node) { + const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); + const div = fo.append("xhtml:div"); + const label = node.label; + const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; + div.html( + '<span class="' + labelClass + '" ' + (node.labelStyle ? 'style="' + node.labelStyle + '"' : "") + ">" + label + "</span>" + ); + applyStyle(div, node.labelStyle); + div.style("display", "inline-block"); + div.style("white-space", "nowrap"); + div.attr("xmlns", "http://www.w3.org/1999/xhtml"); + return fo.node(); +} +const createLabel = (_vertexText, style, isTitle, isNode) => { + let vertexText = _vertexText || ""; + if (typeof vertexText === "object") { + vertexText = vertexText[0]; + } + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + vertexText = vertexText.replace(/\\n|\n/g, "<br />"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("vertexText" + vertexText); + const node = { + isNode, + label: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( + /fa[blrs]?:fa-[\w-]+/g, + (s) => `<i class='${s.replace(":", " ")}'></i>` + ), + labelStyle: style.replace("fill:", "color:") + }; + let vertexNode = addHtmlLabel(node); + return vertexNode; + } else { + const svgLabel = document.createElementNS("http://www.w3.org/2000/svg", "text"); + svgLabel.setAttribute("style", style.replace("color:", "fill:")); + let rows = []; + if (typeof vertexText === "string") { + rows = vertexText.split(/\\n|\n|<br\s*\/?>/gi); + } else if (Array.isArray(vertexText)) { + rows = vertexText; + } else { + rows = []; + } + for (const row of rows) { + const tspan = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + tspan.setAttributeNS("http://www.w3.org/XML/1998/namespace", "xml:space", "preserve"); + tspan.setAttribute("dy", "1em"); + tspan.setAttribute("x", "0"); + if (isTitle) { + tspan.setAttribute("class", "title-row"); + } else { + tspan.setAttribute("class", "row"); + } + tspan.textContent = row.trim(); + svgLabel.appendChild(tspan); + } + return svgLabel; + } +}; +const createLabel$1 = createLabel; +const labelHelper = async (parent, node, _classes, isNode) => { + let classes; + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + if (!_classes) { + classes = "node default"; + } else { + classes = _classes; + } + const shapeSvg = parent.insert("g").attr("class", classes).attr("id", node.domId || node.id); + const label = shapeSvg.insert("g").attr("class", "label").attr("style", node.labelStyle); + let labelText; + if (node.labelText === void 0) { + labelText = ""; + } else { + labelText = typeof node.labelText === "string" ? node.labelText : node.labelText[0]; + } + const textNode = label.node(); + let text; + if (node.labelType === "markdown") { + text = (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { + useHtmlLabels, + width: node.width || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, + classes: "markdown-node-label" + }); + } else { + text = textNode.appendChild( + createLabel$1( + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), + node.labelStyle, + false, + isNode + ) + ); + } + let bbox = text.getBBox(); + const halfPadding = node.padding / 2; + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + const div = text.children[0]; + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); + const images = div.getElementsByTagName("img"); + if (images) { + const noImgText = labelText.replace(/<img[^>]*>/g, "").trim() === ""; + await Promise.all( + [...images].map( + (img) => new Promise((res) => { + function setupImage() { + img.style.display = "flex"; + img.style.flexDirection = "column"; + if (noImgText) { + const bodyFontSize = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; + const enlargingFactor = 5; + const width = parseInt(bodyFontSize, 10) * enlargingFactor + "px"; + img.style.minWidth = width; + img.style.maxWidth = width; + } else { + img.style.width = "100%"; + } + res(img); + } + setTimeout(() => { + if (img.complete) { + setupImage(); + } + }); + img.addEventListener("error", setupImage); + img.addEventListener("load", setupImage); + }) + ) + ); + } + bbox = div.getBoundingClientRect(); + dv.attr("width", bbox.width); + dv.attr("height", bbox.height); + } + if (useHtmlLabels) { + label.attr("transform", "translate(" + -bbox.width / 2 + ", " + -bbox.height / 2 + ")"); + } else { + label.attr("transform", "translate(0, " + -bbox.height / 2 + ")"); + } + if (node.centerLabel) { + label.attr("transform", "translate(" + -bbox.width / 2 + ", " + -bbox.height / 2 + ")"); + } + label.insert("rect", ":first-child"); + return { shapeSvg, bbox, halfPadding, label }; +}; +const updateNodeBounds = (node, element) => { + const bbox = element.node().getBBox(); + node.width = bbox.width; + node.height = bbox.height; +}; +function insertPolygonShape(parent, w, h, points) { + return parent.insert("polygon", ":first-child").attr( + "points", + points.map(function(d) { + return d.x + "," + d.y; + }).join(" ") + ).attr("class", "label-container").attr("transform", "translate(" + -w / 2 + "," + h / 2 + ")"); +} +function intersectNode(node, point2) { + return node.intersect(point2); +} +function intersectEllipse(node, rx, ry, point2) { + var cx = node.x; + var cy = node.y; + var px = cx - point2.x; + var py = cy - point2.y; + var det = Math.sqrt(rx * rx * py * py + ry * ry * px * px); + var dx = Math.abs(rx * ry * px / det); + if (point2.x < cx) { + dx = -dx; + } + var dy = Math.abs(rx * ry * py / det); + if (point2.y < cy) { + dy = -dy; + } + return { x: cx + dx, y: cy + dy }; +} +function intersectCircle(node, rx, point2) { + return intersectEllipse(node, rx, rx, point2); +} +function intersectLine(p1, p2, q1, q2) { + var a1, a2, b1, b2, c1, c2; + var r1, r2, r3, r4; + var denom, offset, num; + var x, y; + a1 = p2.y - p1.y; + b1 = p1.x - p2.x; + c1 = p2.x * p1.y - p1.x * p2.y; + r3 = a1 * q1.x + b1 * q1.y + c1; + r4 = a1 * q2.x + b1 * q2.y + c1; + if (r3 !== 0 && r4 !== 0 && sameSign(r3, r4)) { + return; + } + a2 = q2.y - q1.y; + b2 = q1.x - q2.x; + c2 = q2.x * q1.y - q1.x * q2.y; + r1 = a2 * p1.x + b2 * p1.y + c2; + r2 = a2 * p2.x + b2 * p2.y + c2; + if (r1 !== 0 && r2 !== 0 && sameSign(r1, r2)) { + return; + } + denom = a1 * b2 - a2 * b1; + if (denom === 0) { + return; + } + offset = Math.abs(denom / 2); + num = b1 * c2 - b2 * c1; + x = num < 0 ? (num - offset) / denom : (num + offset) / denom; + num = a2 * c1 - a1 * c2; + y = num < 0 ? (num - offset) / denom : (num + offset) / denom; + return { x, y }; +} +function sameSign(r1, r2) { + return r1 * r2 > 0; +} +function intersectPolygon(node, polyPoints, point2) { + var x1 = node.x; + var y1 = node.y; + var intersections = []; + var minX = Number.POSITIVE_INFINITY; + var minY = Number.POSITIVE_INFINITY; + if (typeof polyPoints.forEach === "function") { + polyPoints.forEach(function(entry) { + minX = Math.min(minX, entry.x); + minY = Math.min(minY, entry.y); + }); + } else { + minX = Math.min(minX, polyPoints.x); + minY = Math.min(minY, polyPoints.y); + } + var left = x1 - node.width / 2 - minX; + var top = y1 - node.height / 2 - minY; + for (var i = 0; i < polyPoints.length; i++) { + var p1 = polyPoints[i]; + var p2 = polyPoints[i < polyPoints.length - 1 ? i + 1 : 0]; + var intersect2 = intersectLine( + node, + point2, + { x: left + p1.x, y: top + p1.y }, + { x: left + p2.x, y: top + p2.y } + ); + if (intersect2) { + intersections.push(intersect2); + } + } + if (!intersections.length) { + return node; + } + if (intersections.length > 1) { + intersections.sort(function(p, q) { + var pdx = p.x - point2.x; + var pdy = p.y - point2.y; + var distp = Math.sqrt(pdx * pdx + pdy * pdy); + var qdx = q.x - point2.x; + var qdy = q.y - point2.y; + var distq = Math.sqrt(qdx * qdx + qdy * qdy); + return distp < distq ? -1 : distp === distq ? 0 : 1; + }); + } + return intersections[0]; +} +const intersectRect = (node, point2) => { + var x = node.x; + var y = node.y; + var dx = point2.x - x; + var dy = point2.y - y; + var w = node.width / 2; + var h = node.height / 2; + var sx, sy; + if (Math.abs(dy) * w > Math.abs(dx) * h) { + if (dy < 0) { + h = -h; + } + sx = dy === 0 ? 0 : h * dx / dy; + sy = h; + } else { + if (dx < 0) { + w = -w; + } + sx = w; + sy = dx === 0 ? 0 : w * dy / dx; + } + return { x: x + sx, y: y + sy }; +}; +const intersectRect$1 = intersectRect; +const intersect = { + node: intersectNode, + circle: intersectCircle, + ellipse: intersectEllipse, + polygon: intersectPolygon, + rect: intersectRect$1 +}; +const note = async (parent, node) => { + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; + if (!useHtmlLabels) { + node.centerLabel = true; + } + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + "node " + node.classes, + true + ); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); + const rect2 = shapeSvg.insert("rect", ":first-child"); + rect2.attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const note$1 = note; +const expandAndDeduplicateDirections = (directions) => { + const uniqueDirections = /* @__PURE__ */ new Set(); + for (const direction of directions) { + switch (direction) { + case "x": + uniqueDirections.add("right"); + uniqueDirections.add("left"); + break; + case "y": + uniqueDirections.add("up"); + uniqueDirections.add("down"); + break; + default: + uniqueDirections.add(direction); + break; + } + } + return uniqueDirections; +}; +const getArrowPoints = (duplicatedDirections, bbox, node) => { + const directions = expandAndDeduplicateDirections(duplicatedDirections); + const f = 2; + const height = bbox.height + 2 * node.padding; + const midpoint = height / f; + const width = bbox.width + 2 * midpoint + node.padding; + const padding = node.padding / 2; + if (directions.has("right") && directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + // Bottom + { x: 0, y: 0 }, + { x: midpoint, y: 0 }, + { x: width / 2, y: 2 * padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: 0 }, + // Right + { x: width, y: -height / 3 }, + { x: width + 2 * padding, y: -height / 2 }, + { x: width, y: -2 * height / 3 }, + { x: width, y: -height }, + // Top + { x: width - midpoint, y: -height }, + { x: width / 2, y: -height - 2 * padding }, + { x: midpoint, y: -height }, + // Left + { x: 0, y: -height }, + { x: 0, y: -2 * height / 3 }, + { x: -2 * padding, y: -height / 2 }, + { x: 0, y: -height / 3 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("up")) { + return [ + { x: midpoint, y: 0 }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: midpoint, y: -height }, + { x: width - midpoint, y: -height }, + { x: width, y: 0 } + ]; + } + if (directions.has("right") && directions.has("up") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: width, y: -height + midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: 0, y: -height + midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("right") && directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up") && directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + if (directions.has("right") && directions.has("up")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("right") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: 0 }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("left") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: 0 }, + { x: width, y: -height } + ]; + } + if (directions.has("right")) { + return [ + { x: midpoint, y: -padding }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + // top left corner of arrow + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding } + ]; + } + if (directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + // Two points, the right corners + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up")) { + return [ + // Bottom center + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding } + ]; + } + if (directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + return [{ x: 0, y: 0 }]; +}; +const formatClass = (str) => { + if (str) { + return " " + str; + } + return ""; +}; +const getClassesFromNode = (node, otherClasses) => { + return `${otherClasses ? otherClasses : "node default"}${formatClass(node.classes)} ${formatClass( + node.class + )}`; +}; +const question = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const w = bbox.width + node.padding; + const h = bbox.height + node.padding; + const s = w + h; + const points = [ + { x: s / 2, y: 0 }, + { x: s, y: -s / 2 }, + { x: s / 2, y: -s }, + { x: 0, y: -s / 2 } + ]; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); + const questionElem = insertPolygonShape(shapeSvg, s, s, points); + questionElem.attr("style", node.style); + updateNodeBounds(node, questionElem); + node.intersect = function(point2) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const choice = (parent, node) => { + const shapeSvg = parent.insert("g").attr("class", "node default").attr("id", node.domId || node.id); + const s = 28; + const points = [ + { x: 0, y: s / 2 }, + { x: s / 2, y: 0 }, + { x: 0, y: -s / 2 }, + { x: -s / 2, y: 0 } + ]; + const choice2 = shapeSvg.insert("polygon", ":first-child").attr( + "points", + points.map(function(d) { + return d.x + "," + d.y; + }).join(" ") + ); + choice2.attr("class", "state-start").attr("r", 7).attr("width", 28).attr("height", 28); + node.width = 28; + node.height = 28; + node.intersect = function(point2) { + return intersect.circle(node, 14, point2); + }; + return shapeSvg; +}; +const hexagon = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const f = 4; + const h = bbox.height + node.padding; + const m = h / f; + const w = bbox.width + 2 * m + node.padding; + const points = [ + { x: m, y: 0 }, + { x: w - m, y: 0 }, + { x: w, y: -h / 2 }, + { x: w - m, y: -h }, + { x: m, y: -h }, + { x: 0, y: -h / 2 } + ]; + const hex = insertPolygonShape(shapeSvg, w, h, points); + hex.attr("style", node.style); + updateNodeBounds(node, hex); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const block_arrow = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper(parent, node, void 0, true); + const f = 2; + const h = bbox.height + 2 * node.padding; + const m = h / f; + const w = bbox.width + 2 * m + node.padding; + const points = getArrowPoints(node.directions, bbox, node); + const blockArrow = insertPolygonShape(shapeSvg, w, h, points); + blockArrow.attr("style", node.style); + updateNodeBounds(node, blockArrow); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const rect_left_inv_arrow = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const w = bbox.width + node.padding; + const h = bbox.height + node.padding; + const points = [ + { x: -h / 2, y: 0 }, + { x: w, y: 0 }, + { x: w, y: -h }, + { x: -h / 2, y: -h }, + { x: 0, y: -h / 2 } + ]; + const el = insertPolygonShape(shapeSvg, w, h, points); + el.attr("style", node.style); + node.width = w + h; + node.height = h; + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const lean_right = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper(parent, node, getClassesFromNode(node), true); + const w = bbox.width + node.padding; + const h = bbox.height + node.padding; + const points = [ + { x: -2 * h / 6, y: 0 }, + { x: w - h / 6, y: 0 }, + { x: w + 2 * h / 6, y: -h }, + { x: h / 6, y: -h } + ]; + const el = insertPolygonShape(shapeSvg, w, h, points); + el.attr("style", node.style); + updateNodeBounds(node, el); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const lean_left = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const w = bbox.width + node.padding; + const h = bbox.height + node.padding; + const points = [ + { x: 2 * h / 6, y: 0 }, + { x: w + h / 6, y: 0 }, + { x: w - 2 * h / 6, y: -h }, + { x: -h / 6, y: -h } + ]; + const el = insertPolygonShape(shapeSvg, w, h, points); + el.attr("style", node.style); + updateNodeBounds(node, el); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const trapezoid = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const w = bbox.width + node.padding; + const h = bbox.height + node.padding; + const points = [ + { x: -2 * h / 6, y: 0 }, + { x: w + 2 * h / 6, y: 0 }, + { x: w - h / 6, y: -h }, + { x: h / 6, y: -h } + ]; + const el = insertPolygonShape(shapeSvg, w, h, points); + el.attr("style", node.style); + updateNodeBounds(node, el); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const inv_trapezoid = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const w = bbox.width + node.padding; + const h = bbox.height + node.padding; + const points = [ + { x: h / 6, y: 0 }, + { x: w - h / 6, y: 0 }, + { x: w + 2 * h / 6, y: -h }, + { x: -2 * h / 6, y: -h } + ]; + const el = insertPolygonShape(shapeSvg, w, h, points); + el.attr("style", node.style); + updateNodeBounds(node, el); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const rect_right_inv_arrow = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const w = bbox.width + node.padding; + const h = bbox.height + node.padding; + const points = [ + { x: 0, y: 0 }, + { x: w + h / 2, y: 0 }, + { x: w, y: -h / 2 }, + { x: w + h / 2, y: -h }, + { x: 0, y: -h } + ]; + const el = insertPolygonShape(shapeSvg, w, h, points); + el.attr("style", node.style); + updateNodeBounds(node, el); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const cylinder = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const w = bbox.width + node.padding; + const rx = w / 2; + const ry = rx / (2.5 + w / 50); + const h = bbox.height + ry + node.padding; + const shape = "M 0," + ry + " a " + rx + "," + ry + " 0,0,0 " + w + " 0 a " + rx + "," + ry + " 0,0,0 " + -w + " 0 l 0," + h + " a " + rx + "," + ry + " 0,0,0 " + w + " 0 l 0," + -h; + const el = shapeSvg.attr("label-offset-y", ry).insert("path", ":first-child").attr("style", node.style).attr("d", shape).attr("transform", "translate(" + -w / 2 + "," + -(h / 2 + ry) + ")"); + updateNodeBounds(node, el); + node.intersect = function(point2) { + const pos = intersect.rect(node, point2); + const x = pos.x - node.x; + if (rx != 0 && (Math.abs(x) < node.width / 2 || Math.abs(x) == node.width / 2 && Math.abs(pos.y - node.y) > node.height / 2 - ry)) { + let y = ry * ry * (1 - x * x / (rx * rx)); + if (y != 0) { + y = Math.sqrt(y); + } + y = ry - y; + if (point2.y - node.y > 0) { + y = -y; + } + pos.y += y; + } + return pos; + }; + return shapeSvg; +}; +const rect = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + "node " + node.classes + " " + node.class, + true + ); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); + if (node.props) { + const propKeys = new Set(Object.keys(node.props)); + if (node.props.borders) { + applyNodePropertyBorders(rect2, node.props.borders, totalWidth, totalHeight); + propKeys.delete("borders"); + } + propKeys.forEach((propKey) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + }); + } + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const composite = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + "node " + node.classes, + true + ); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic cluster composite label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); + if (node.props) { + const propKeys = new Set(Object.keys(node.props)); + if (node.props.borders) { + applyNodePropertyBorders(rect2, node.props.borders, totalWidth, totalHeight); + propKeys.delete("borders"); + } + propKeys.forEach((propKey) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + }); + } + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const labelRect = async (parent, node) => { + const { shapeSvg } = await labelHelper(parent, node, "label", true); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const totalWidth = 0; + const totalHeight = 0; + rect2.attr("width", totalWidth).attr("height", totalHeight); + shapeSvg.attr("class", "label edgeLabel"); + if (node.props) { + const propKeys = new Set(Object.keys(node.props)); + if (node.props.borders) { + applyNodePropertyBorders(rect2, node.props.borders, totalWidth, totalHeight); + propKeys.delete("borders"); + } + propKeys.forEach((propKey) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + }); + } + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +function applyNodePropertyBorders(rect2, borders, totalWidth, totalHeight) { + const strokeDashArray = []; + const addBorder = (length) => { + strokeDashArray.push(length, 0); + }; + const skipBorder = (length) => { + strokeDashArray.push(0, length); + }; + if (borders.includes("t")) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); + addBorder(totalWidth); + } else { + skipBorder(totalWidth); + } + if (borders.includes("r")) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); + addBorder(totalHeight); + } else { + skipBorder(totalHeight); + } + if (borders.includes("b")) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); + addBorder(totalWidth); + } else { + skipBorder(totalWidth); + } + if (borders.includes("l")) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); + addBorder(totalHeight); + } else { + skipBorder(totalHeight); + } + rect2.attr("stroke-dasharray", strokeDashArray.join(" ")); +} +const rectWithTitle = (parent, node) => { + let classes; + if (!node.classes) { + classes = "node default"; + } else { + classes = "node " + node.classes; + } + const shapeSvg = parent.insert("g").attr("class", classes).attr("id", node.domId || node.id); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const innerLine = shapeSvg.insert("line"); + const label = shapeSvg.insert("g").attr("class", "label"); + const text2 = node.labelText.flat ? node.labelText.flat() : node.labelText; + let title = ""; + if (typeof text2 === "object") { + title = text2[0]; + } else { + title = text2; + } + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); + const text = label.node().appendChild(createLabel$1(title, node.labelStyle, true, true)); + let bbox = { width: 0, height: 0 }; + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + const div = text.children[0]; + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); + bbox = div.getBoundingClientRect(); + dv.attr("width", bbox.width); + dv.attr("height", bbox.height); + } + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); + const textRows = text2.slice(1, text2.length); + let titleBox = text.getBBox(); + const descr = label.node().appendChild( + createLabel$1(textRows.join ? textRows.join("<br/>") : textRows, node.labelStyle, true, true) + ); + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + const div = descr.children[0]; + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr); + bbox = div.getBoundingClientRect(); + dv.attr("width", bbox.width); + dv.attr("height", bbox.height); + } + const halfPadding = node.padding / 2; + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr).attr( + "transform", + "translate( " + // (titleBox.width - bbox.width) / 2 + + (bbox.width > titleBox.width ? 0 : (titleBox.width - bbox.width) / 2) + ", " + (titleBox.height + halfPadding + 5) + ")" + ); + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text).attr( + "transform", + "translate( " + // (titleBox.width - bbox.width) / 2 + + (bbox.width < titleBox.width ? 0 : -(titleBox.width - bbox.width) / 2) + ", 0)" + ); + bbox = label.node().getBBox(); + label.attr( + "transform", + "translate(" + -bbox.width / 2 + ", " + (-bbox.height / 2 - halfPadding + 3) + ")" + ); + rect2.attr("class", "outer title-state").attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); + innerLine.attr("class", "divider").attr("x1", -bbox.width / 2 - halfPadding).attr("x2", bbox.width / 2 + halfPadding).attr("y1", -bbox.height / 2 - halfPadding + titleBox.height + halfPadding).attr("y2", -bbox.height / 2 - halfPadding + titleBox.height + halfPadding); + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const stadium = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const h = bbox.height + node.padding; + const w = bbox.width + h / 4 + node.padding; + const rect2 = shapeSvg.insert("rect", ":first-child").attr("style", node.style).attr("rx", h / 2).attr("ry", h / 2).attr("x", -w / 2).attr("y", -h / 2).attr("width", w).attr("height", h); + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const circle = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const circle2 = shapeSvg.insert("circle", ":first-child"); + circle2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); + updateNodeBounds(node, circle2); + node.intersect = function(point2) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); + return intersect.circle(node, bbox.width / 2 + halfPadding, point2); + }; + return shapeSvg; +}; +const doublecircle = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const gap = 5; + const circleGroup = shapeSvg.insert("g", ":first-child"); + const outerCircle = circleGroup.insert("circle"); + const innerCircle = circleGroup.insert("circle"); + circleGroup.attr("class", node.class); + outerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding + gap).attr("width", bbox.width + node.padding + gap * 2).attr("height", bbox.height + node.padding + gap * 2); + innerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); + updateNodeBounds(node, outerCircle); + node.intersect = function(point2) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); + return intersect.circle(node, bbox.width / 2 + halfPadding + gap, point2); + }; + return shapeSvg; +}; +const subroutine = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper( + parent, + node, + getClassesFromNode(node, void 0), + true + ); + const w = bbox.width + node.padding; + const h = bbox.height + node.padding; + const points = [ + { x: 0, y: 0 }, + { x: w, y: 0 }, + { x: w, y: -h }, + { x: 0, y: -h }, + { x: 0, y: 0 }, + { x: -8, y: 0 }, + { x: w + 8, y: 0 }, + { x: w + 8, y: -h }, + { x: -8, y: -h }, + { x: -8, y: 0 } + ]; + const el = insertPolygonShape(shapeSvg, w, h, points); + el.attr("style", node.style); + updateNodeBounds(node, el); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; +const start = (parent, node) => { + const shapeSvg = parent.insert("g").attr("class", "node default").attr("id", node.domId || node.id); + const circle2 = shapeSvg.insert("circle", ":first-child"); + circle2.attr("class", "state-start").attr("r", 7).attr("width", 14).attr("height", 14); + updateNodeBounds(node, circle2); + node.intersect = function(point2) { + return intersect.circle(node, 7, point2); + }; + return shapeSvg; +}; +const forkJoin = (parent, node, dir) => { + const shapeSvg = parent.insert("g").attr("class", "node default").attr("id", node.domId || node.id); + let width = 70; + let height = 10; + if (dir === "LR") { + width = 10; + height = 70; + } + const shape = shapeSvg.append("rect").attr("x", -1 * width / 2).attr("y", -1 * height / 2).attr("width", width).attr("height", height).attr("class", "fork-join"); + updateNodeBounds(node, shape); + node.height = node.height + node.padding / 2; + node.width = node.width + node.padding / 2; + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const end = (parent, node) => { + const shapeSvg = parent.insert("g").attr("class", "node default").attr("id", node.domId || node.id); + const innerCircle = shapeSvg.insert("circle", ":first-child"); + const circle2 = shapeSvg.insert("circle", ":first-child"); + circle2.attr("class", "state-start").attr("r", 7).attr("width", 14).attr("height", 14); + innerCircle.attr("class", "state-end").attr("r", 5).attr("width", 10).attr("height", 10); + updateNodeBounds(node, circle2); + node.intersect = function(point2) { + return intersect.circle(node, 7, point2); + }; + return shapeSvg; +}; +const class_box = (parent, node) => { + const halfPadding = node.padding / 2; + const rowPadding = 4; + const lineHeight = 8; + let classes; + if (!node.classes) { + classes = "node default"; + } else { + classes = "node " + node.classes; + } + const shapeSvg = parent.insert("g").attr("class", classes).attr("id", node.domId || node.id); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const topLine = shapeSvg.insert("line"); + const bottomLine = shapeSvg.insert("line"); + let maxWidth = 0; + let maxHeight = rowPadding; + const labelContainer = shapeSvg.insert("g").attr("class", "label"); + let verticalPos = 0; + const hasInterface = node.classData.annotations && node.classData.annotations[0]; + const interfaceLabelText = node.classData.annotations[0] ? "«" + node.classData.annotations[0] + "»" : ""; + const interfaceLabel = labelContainer.node().appendChild(createLabel$1(interfaceLabelText, node.labelStyle, true, true)); + let interfaceBBox = interfaceLabel.getBBox(); + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + const div = interfaceLabel.children[0]; + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel); + interfaceBBox = div.getBoundingClientRect(); + dv.attr("width", interfaceBBox.width); + dv.attr("height", interfaceBBox.height); + } + if (node.classData.annotations[0]) { + maxHeight += interfaceBBox.height + rowPadding; + maxWidth += interfaceBBox.width; + } + let classTitleString = node.classData.label; + if (node.classData.type !== void 0 && node.classData.type !== "") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + classTitleString += "<" + node.classData.type + ">"; + } else { + classTitleString += "<" + node.classData.type + ">"; + } + } + const classTitleLabel = labelContainer.node().appendChild(createLabel$1(classTitleString, node.labelStyle, true, true)); + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr("class", "classTitle"); + let classTitleBBox = classTitleLabel.getBBox(); + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + const div = classTitleLabel.children[0]; + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel); + classTitleBBox = div.getBoundingClientRect(); + dv.attr("width", classTitleBBox.width); + dv.attr("height", classTitleBBox.height); + } + maxHeight += classTitleBBox.height + rowPadding; + if (classTitleBBox.width > maxWidth) { + maxWidth = classTitleBBox.width; + } + const classAttributes = []; + node.classData.members.forEach((member) => { + const parsedInfo = member.getDisplayDetails(); + let parsedText = parsedInfo.displayText; + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + parsedText = parsedText.replace(/</g, "<").replace(/>/g, ">"); + } + const lbl = labelContainer.node().appendChild( + createLabel$1( + parsedText, + parsedInfo.cssStyle ? parsedInfo.cssStyle : node.labelStyle, + true, + true + ) + ); + let bbox = lbl.getBBox(); + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + const div = lbl.children[0]; + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); + bbox = div.getBoundingClientRect(); + dv.attr("width", bbox.width); + dv.attr("height", bbox.height); + } + if (bbox.width > maxWidth) { + maxWidth = bbox.width; + } + maxHeight += bbox.height + rowPadding; + classAttributes.push(lbl); + }); + maxHeight += lineHeight; + const classMethods = []; + node.classData.methods.forEach((member) => { + const parsedInfo = member.getDisplayDetails(); + let displayText = parsedInfo.displayText; + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + displayText = displayText.replace(/</g, "<").replace(/>/g, ">"); + } + const lbl = labelContainer.node().appendChild( + createLabel$1( + displayText, + parsedInfo.cssStyle ? parsedInfo.cssStyle : node.labelStyle, + true, + true + ) + ); + let bbox = lbl.getBBox(); + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + const div = lbl.children[0]; + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); + bbox = div.getBoundingClientRect(); + dv.attr("width", bbox.width); + dv.attr("height", bbox.height); + } + if (bbox.width > maxWidth) { + maxWidth = bbox.width; + } + maxHeight += bbox.height + rowPadding; + classMethods.push(lbl); + }); + maxHeight += lineHeight; + if (hasInterface) { + let diffX2 = (maxWidth - interfaceBBox.width) / 2; + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel).attr( + "transform", + "translate( " + (-1 * maxWidth / 2 + diffX2) + ", " + -1 * maxHeight / 2 + ")" + ); + verticalPos = interfaceBBox.height + rowPadding; + } + let diffX = (maxWidth - classTitleBBox.width) / 2; + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr( + "transform", + "translate( " + (-1 * maxWidth / 2 + diffX) + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" + ); + verticalPos += classTitleBBox.height + rowPadding; + topLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); + verticalPos += lineHeight; + classAttributes.forEach((lbl) => { + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( + "transform", + "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos + lineHeight / 2) + ")" + ); + const memberBBox = lbl == null ? void 0 : lbl.getBBox(); + verticalPos += ((memberBBox == null ? void 0 : memberBBox.height) ?? 0) + rowPadding; + }); + verticalPos += lineHeight; + bottomLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); + verticalPos += lineHeight; + classMethods.forEach((lbl) => { + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( + "transform", + "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" + ); + const memberBBox = lbl == null ? void 0 : lbl.getBBox(); + verticalPos += ((memberBBox == null ? void 0 : memberBBox.height) ?? 0) + rowPadding; + }); + rect2.attr("style", node.style).attr("class", "outer title-state").attr("x", -maxWidth / 2 - halfPadding).attr("y", -(maxHeight / 2) - halfPadding).attr("width", maxWidth + node.padding).attr("height", maxHeight + node.padding); + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const shapes = { + rhombus: question, + composite, + question, + rect, + labelRect, + rectWithTitle, + choice, + circle, + doublecircle, + stadium, + hexagon, + block_arrow, + rect_left_inv_arrow, + lean_right, + lean_left, + trapezoid, + inv_trapezoid, + rect_right_inv_arrow, + cylinder, + start, + end, + note: note$1, + subroutine, + fork: forkJoin, + join: forkJoin, + class_box +}; +let nodeElems = {}; +const insertNode = async (elem, node, dir) => { + let newEl; + let el; + if (node.link) { + let target; + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { + target = "_top"; + } else if (node.linkTarget) { + target = node.linkTarget || "_blank"; + } + newEl = elem.insert("svg:a").attr("xlink:href", node.link).attr("target", target); + el = await shapes[node.shape](newEl, node, dir); + } else { + el = await shapes[node.shape](elem, node, dir); + newEl = el; + } + if (node.tooltip) { + el.attr("title", node.tooltip); + } + if (node.class) { + el.attr("class", "node default " + node.class); + } + newEl.attr("data-node", "true"); + newEl.attr("data-id", node.id); + nodeElems[node.id] = newEl; + if (node.haveCallback) { + nodeElems[node.id].attr("class", nodeElems[node.id].attr("class") + " clickable"); + } + return newEl; +}; +const setNodeElem = (elem, node) => { + nodeElems[node.id] = elem; +}; +const clear$1 = () => { + nodeElems = {}; +}; +const positionNode = (node) => { + const el = nodeElems[node.id]; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( + "Transforming node", + node.diff, + node, + "translate(" + (node.x - node.width / 2 - 5) + ", " + node.width / 2 + ")" + ); + const padding = 8; + const diff = node.diff || 0; + if (node.clusterNode) { + el.attr( + "transform", + "translate(" + (node.x + diff - node.width / 2) + ", " + (node.y - node.height / 2 - padding) + ")" + ); + } else { + el.attr("transform", "translate(" + node.x + ", " + node.y + ")"); + } + return diff; +}; +const getSubGraphTitleMargins = ({ + flowchart +}) => { + var _a, _b; + const subGraphTitleTopMargin = ((_a = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _a.top) ?? 0; + const subGraphTitleBottomMargin = ((_b = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _b.bottom) ?? 0; + const subGraphTitleTotalMargin = subGraphTitleTopMargin + subGraphTitleBottomMargin; + return { + subGraphTitleTopMargin, + subGraphTitleBottomMargin, + subGraphTitleTotalMargin + }; +}; +const markerOffsets = { + aggregation: 18, + extension: 18, + composition: 18, + dependency: 6, + lollipop: 13.5, + arrow_point: 5.3 +}; +function calculateDeltaAndAngle(point1, point2) { + if (point1 === void 0 || point2 === void 0) { + return { angle: 0, deltaX: 0, deltaY: 0 }; + } + point1 = pointTransformer(point1); + point2 = pointTransformer(point2); + const [x1, y1] = [point1.x, point1.y]; + const [x2, y2] = [point2.x, point2.y]; + const deltaX = x2 - x1; + const deltaY = y2 - y1; + return { angle: Math.atan(deltaY / deltaX), deltaX, deltaY }; +} +const pointTransformer = (data) => { + if (Array.isArray(data)) { + return { x: data[0], y: data[1] }; + } + return data; +}; +const getLineFunctionsWithOffset = (edge) => { + return { + x: function(d, i, data) { + let offset = 0; + if (i === 0 && Object.hasOwn(markerOffsets, edge.arrowTypeStart)) { + const { angle, deltaX } = calculateDeltaAndAngle(data[0], data[1]); + offset = markerOffsets[edge.arrowTypeStart] * Math.cos(angle) * (deltaX >= 0 ? 1 : -1); + } else if (i === data.length - 1 && Object.hasOwn(markerOffsets, edge.arrowTypeEnd)) { + const { angle, deltaX } = calculateDeltaAndAngle( + data[data.length - 1], + data[data.length - 2] + ); + offset = markerOffsets[edge.arrowTypeEnd] * Math.cos(angle) * (deltaX >= 0 ? 1 : -1); + } + return pointTransformer(d).x + offset; + }, + y: function(d, i, data) { + let offset = 0; + if (i === 0 && Object.hasOwn(markerOffsets, edge.arrowTypeStart)) { + const { angle, deltaY } = calculateDeltaAndAngle(data[0], data[1]); + offset = markerOffsets[edge.arrowTypeStart] * Math.abs(Math.sin(angle)) * (deltaY >= 0 ? 1 : -1); + } else if (i === data.length - 1 && Object.hasOwn(markerOffsets, edge.arrowTypeEnd)) { + const { angle, deltaY } = calculateDeltaAndAngle( + data[data.length - 1], + data[data.length - 2] + ); + offset = markerOffsets[edge.arrowTypeEnd] * Math.abs(Math.sin(angle)) * (deltaY >= 0 ? 1 : -1); + } + return pointTransformer(d).y + offset; + } + }; +}; +const addEdgeMarkers = (svgPath, edge, url, id, diagramType) => { + if (edge.arrowTypeStart) { + addEdgeMarker(svgPath, "start", edge.arrowTypeStart, url, id, diagramType); + } + if (edge.arrowTypeEnd) { + addEdgeMarker(svgPath, "end", edge.arrowTypeEnd, url, id, diagramType); + } +}; +const arrowTypesMap = { + arrow_cross: "cross", + arrow_point: "point", + arrow_barb: "barb", + arrow_circle: "circle", + aggregation: "aggregation", + extension: "extension", + composition: "composition", + dependency: "dependency", + lollipop: "lollipop" +}; +const addEdgeMarker = (svgPath, position, arrowType, url, id, diagramType) => { + const endMarkerType = arrowTypesMap[arrowType]; + if (!endMarkerType) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); + return; + } + const suffix = position === "start" ? "Start" : "End"; + svgPath.attr(`marker-${position}`, `url(${url}#${id}_${diagramType}-${endMarkerType}${suffix})`); +}; +let edgeLabels = {}; +let terminalLabels = {}; +const clear = () => { + edgeLabels = {}; + terminalLabels = {}; +}; +const insertEdgeLabel = (elem, edge) => { + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const labelElement = edge.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { + style: edge.labelStyle, + useHtmlLabels, + addSvgBackground: true + }) : createLabel$1(edge.label, edge.labelStyle); + const edgeLabel = elem.insert("g").attr("class", "edgeLabel"); + const label = edgeLabel.insert("g").attr("class", "label"); + label.node().appendChild(labelElement); + let bbox = labelElement.getBBox(); + if (useHtmlLabels) { + const div = labelElement.children[0]; + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(labelElement); + bbox = div.getBoundingClientRect(); + dv.attr("width", bbox.width); + dv.attr("height", bbox.height); + } + label.attr("transform", "translate(" + -bbox.width / 2 + ", " + -bbox.height / 2 + ")"); + edgeLabels[edge.id] = edgeLabel; + edge.width = bbox.width; + edge.height = bbox.height; + let fo; + if (edge.startLabelLeft) { + const startLabelElement = createLabel$1(edge.startLabelLeft, edge.labelStyle); + const startEdgeLabelLeft = elem.insert("g").attr("class", "edgeTerminals"); + const inner = startEdgeLabelLeft.insert("g").attr("class", "inner"); + fo = inner.node().appendChild(startLabelElement); + const slBox = startLabelElement.getBBox(); + inner.attr("transform", "translate(" + -slBox.width / 2 + ", " + -slBox.height / 2 + ")"); + if (!terminalLabels[edge.id]) { + terminalLabels[edge.id] = {}; + } + terminalLabels[edge.id].startLeft = startEdgeLabelLeft; + setTerminalWidth(fo, edge.startLabelLeft); + } + if (edge.startLabelRight) { + const startLabelElement = createLabel$1(edge.startLabelRight, edge.labelStyle); + const startEdgeLabelRight = elem.insert("g").attr("class", "edgeTerminals"); + const inner = startEdgeLabelRight.insert("g").attr("class", "inner"); + fo = startEdgeLabelRight.node().appendChild(startLabelElement); + inner.node().appendChild(startLabelElement); + const slBox = startLabelElement.getBBox(); + inner.attr("transform", "translate(" + -slBox.width / 2 + ", " + -slBox.height / 2 + ")"); + if (!terminalLabels[edge.id]) { + terminalLabels[edge.id] = {}; + } + terminalLabels[edge.id].startRight = startEdgeLabelRight; + setTerminalWidth(fo, edge.startLabelRight); + } + if (edge.endLabelLeft) { + const endLabelElement = createLabel$1(edge.endLabelLeft, edge.labelStyle); + const endEdgeLabelLeft = elem.insert("g").attr("class", "edgeTerminals"); + const inner = endEdgeLabelLeft.insert("g").attr("class", "inner"); + fo = inner.node().appendChild(endLabelElement); + const slBox = endLabelElement.getBBox(); + inner.attr("transform", "translate(" + -slBox.width / 2 + ", " + -slBox.height / 2 + ")"); + endEdgeLabelLeft.node().appendChild(endLabelElement); + if (!terminalLabels[edge.id]) { + terminalLabels[edge.id] = {}; + } + terminalLabels[edge.id].endLeft = endEdgeLabelLeft; + setTerminalWidth(fo, edge.endLabelLeft); + } + if (edge.endLabelRight) { + const endLabelElement = createLabel$1(edge.endLabelRight, edge.labelStyle); + const endEdgeLabelRight = elem.insert("g").attr("class", "edgeTerminals"); + const inner = endEdgeLabelRight.insert("g").attr("class", "inner"); + fo = inner.node().appendChild(endLabelElement); + const slBox = endLabelElement.getBBox(); + inner.attr("transform", "translate(" + -slBox.width / 2 + ", " + -slBox.height / 2 + ")"); + endEdgeLabelRight.node().appendChild(endLabelElement); + if (!terminalLabels[edge.id]) { + terminalLabels[edge.id] = {}; + } + terminalLabels[edge.id].endRight = endEdgeLabelRight; + setTerminalWidth(fo, edge.endLabelRight); + } + return labelElement; +}; +function setTerminalWidth(fo, value) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { + fo.style.width = value.length * 9 + "px"; + fo.style.height = "12px"; + } +} +const positionEdgeLabel = (edge, paths) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Moving label abc88 ", edge.id, edge.label, edgeLabels[edge.id], paths); + let path = paths.updatedPath ? paths.updatedPath : paths.originalPath; + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const { subGraphTitleTotalMargin } = getSubGraphTitleMargins(siteConfig); + if (edge.label) { + const el = edgeLabels[edge.id]; + let x = edge.x; + let y = edge.y; + if (path) { + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug( + "Moving label " + edge.label + " from (", + x, + ",", + y, + ") to (", + pos.x, + ",", + pos.y, + ") abc88" + ); + if (paths.updatedPath) { + x = pos.x; + y = pos.y; + } + } + el.attr("transform", `translate(${x}, ${y + subGraphTitleTotalMargin / 2})`); + } + if (edge.startLabelLeft) { + const el = terminalLabels[edge.id].startLeft; + let x = edge.x; + let y = edge.y; + if (path) { + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); + x = pos.x; + y = pos.y; + } + el.attr("transform", `translate(${x}, ${y})`); + } + if (edge.startLabelRight) { + const el = terminalLabels[edge.id].startRight; + let x = edge.x; + let y = edge.y; + if (path) { + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( + edge.arrowTypeStart ? 10 : 0, + "start_right", + path + ); + x = pos.x; + y = pos.y; + } + el.attr("transform", `translate(${x}, ${y})`); + } + if (edge.endLabelLeft) { + const el = terminalLabels[edge.id].endLeft; + let x = edge.x; + let y = edge.y; + if (path) { + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); + x = pos.x; + y = pos.y; + } + el.attr("transform", `translate(${x}, ${y})`); + } + if (edge.endLabelRight) { + const el = terminalLabels[edge.id].endRight; + let x = edge.x; + let y = edge.y; + if (path) { + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); + x = pos.x; + y = pos.y; + } + el.attr("transform", `translate(${x}, ${y})`); + } +}; +const outsideNode = (node, point2) => { + const x = node.x; + const y = node.y; + const dx = Math.abs(point2.x - x); + const dy = Math.abs(point2.y - y); + const w = node.width / 2; + const h = node.height / 2; + if (dx >= w || dy >= h) { + return true; + } + return false; +}; +const intersection = (node, outsidePoint, insidePoint) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`intersection calc abc89: + outsidePoint: ${JSON.stringify(outsidePoint)} + insidePoint : ${JSON.stringify(insidePoint)} + node : x:${node.x} y:${node.y} w:${node.width} h:${node.height}`); + const x = node.x; + const y = node.y; + const dx = Math.abs(x - insidePoint.x); + const w = node.width / 2; + let r = insidePoint.x < outsidePoint.x ? w - dx : w + dx; + const h = node.height / 2; + const Q = Math.abs(outsidePoint.y - insidePoint.y); + const R = Math.abs(outsidePoint.x - insidePoint.x); + if (Math.abs(y - outsidePoint.y) * w > Math.abs(x - outsidePoint.x) * h) { + let q = insidePoint.y < outsidePoint.y ? outsidePoint.y - h - y : y - h - outsidePoint.y; + r = R * q / Q; + const res = { + x: insidePoint.x < outsidePoint.x ? insidePoint.x + r : insidePoint.x - R + r, + y: insidePoint.y < outsidePoint.y ? insidePoint.y + Q - q : insidePoint.y - Q + q + }; + if (r === 0) { + res.x = outsidePoint.x; + res.y = outsidePoint.y; + } + if (R === 0) { + res.x = outsidePoint.x; + } + if (Q === 0) { + res.y = outsidePoint.y; + } + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); + return res; + } else { + if (insidePoint.x < outsidePoint.x) { + r = outsidePoint.x - w - x; + } else { + r = x - w - outsidePoint.x; + } + let q = Q * r / R; + let _x = insidePoint.x < outsidePoint.x ? insidePoint.x + R - r : insidePoint.x - R + r; + let _y = insidePoint.y < outsidePoint.y ? insidePoint.y + q : insidePoint.y - q; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); + if (r === 0) { + _x = outsidePoint.x; + _y = outsidePoint.y; + } + if (R === 0) { + _x = outsidePoint.x; + } + if (Q === 0) { + _y = outsidePoint.y; + } + return { x: _x, y: _y }; + } +}; +const cutPathAtIntersect = (_points, boundryNode) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 cutPathAtIntersect", _points, boundryNode); + let points = []; + let lastPointOutside = _points[0]; + let isInside = false; + _points.forEach((point2) => { + if (!outsideNode(boundryNode, point2) && !isInside) { + const inter = intersection(boundryNode, lastPointOutside, point2); + let pointPresent = false; + points.forEach((p) => { + pointPresent = pointPresent || p.x === inter.x && p.y === inter.y; + }); + if (!points.some((e) => e.x === inter.x && e.y === inter.y)) { + points.push(inter); + } + isInside = true; + } else { + lastPointOutside = point2; + if (!isInside) { + points.push(point2); + } + } + }); + return points; +}; +const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { + let points = edge.points; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 InsertEdge: edge=", edge, "e=", e); + let pointsHasChanged = false; + const tail = graph.node(e.v); + var head = graph.node(e.w); + if ((head == null ? void 0 : head.intersect) && (tail == null ? void 0 : tail.intersect)) { + points = points.slice(1, edge.points.length - 1); + points.unshift(tail.intersect(points[0])); + points.push(head.intersect(points[points.length - 1])); + } + if (edge.toCluster) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("to cluster abc88", clusterDb[edge.toCluster]); + points = cutPathAtIntersect(edge.points, clusterDb[edge.toCluster].node); + pointsHasChanged = true; + } + if (edge.fromCluster) { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("from cluster abc88", clusterDb[edge.fromCluster]); + points = cutPathAtIntersect(points.reverse(), clusterDb[edge.fromCluster].node).reverse(); + pointsHasChanged = true; + } + const lineData = points.filter((p) => !Number.isNaN(p.y)); + let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .k7; + if (edge.curve && (diagramType === "graph" || diagramType === "flowchart")) { + curve = edge.curve; + } + const { x, y } = getLineFunctionsWithOffset(edge); + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(x).y(y).curve(curve); + let strokeClasses; + switch (edge.thickness) { + case "normal": + strokeClasses = "edge-thickness-normal"; + break; + case "thick": + strokeClasses = "edge-thickness-thick"; + break; + case "invisible": + strokeClasses = "edge-thickness-thick"; + break; + default: + strokeClasses = ""; + } + switch (edge.pattern) { + case "solid": + strokeClasses += " edge-pattern-solid"; + break; + case "dotted": + strokeClasses += " edge-pattern-dotted"; + break; + case "dashed": + strokeClasses += " edge-pattern-dashed"; + break; + } + const svgPath = elem.append("path").attr("d", lineFunction(lineData)).attr("id", edge.id).attr("class", " " + strokeClasses + (edge.classes ? " " + edge.classes : "")).attr("style", edge.style); + let url = ""; + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { + url = window.location.protocol + "//" + window.location.host + window.location.pathname + window.location.search; + url = url.replace(/\(/g, "\\("); + url = url.replace(/\)/g, "\\)"); + } + addEdgeMarkers(svgPath, edge, url, id, diagramType); + let paths = {}; + if (pointsHasChanged) { + paths.updatedPath = points; + } + paths.originalPath = edge.points; + return paths; +}; + + + +/***/ }) + +}; +; \ No newline at end of file diff --git a/assets/js/194.46223336.js b/assets/js/184.a4ab43b6.js similarity index 98% rename from assets/js/194.46223336.js rename to assets/js/184.a4ab43b6.js index 22a4a634b..82b50eec8 100644 --- a/assets/js/194.46223336.js +++ b/assets/js/184.a4ab43b6.js @@ -1,8 +1,8 @@ -exports.id = 194; -exports.ids = [194]; +exports.id = 184; +exports.ids = [184]; exports.modules = { -/***/ 17295: +/***/ 61707: /***/ ((module) => { (function(f){if(true){module.exports=f()}else { var g; }})(function(){var define,module,exports;return (function(){function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c=undefined;if(!f&&c)return require(i,!0);if(u)return u(i,!0);var a=new Error("Cannot find module '"+i+"'");throw a.code="MODULE_NOT_FOUND",a}var p=n[i]={exports:{}};e[i][0].call(p.exports,function(r){var n=e[i][1][r];return o(n||r)},p,p.exports,r,e,n,t)}return n[i].exports}for(var u=undefined,i=0;i<t.length;i++)o(t[i]);return o}return r})()({1:[function(require,module,exports){ @@ -6705,7 +6705,7 @@ module.exports = Worker; /***/ }), -/***/ 76562: +/***/ 73748: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { "use strict"; @@ -6731,8 +6731,8 @@ __webpack_require__.d(constructs_namespaceObject, { text: () => (constructs_text) }); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); ;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js /** * @typedef {import('mdast').Root|import('mdast').Content} Node @@ -19340,14 +19340,14 @@ function defaultOnError(left, right) { } // EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js -var esm = __webpack_require__(18464); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-a48a4c90.js +var esm = __webpack_require__(71408); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-423428c9.js function preprocessMarkdown(markdown) { const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); - const withoutExtraSpaces = (0,esm/* dedent */.Z)(withoutMultipleNewlines); + const withoutExtraSpaces = (0,esm/* dedent */.s)(withoutMultipleNewlines); return withoutExtraSpaces; } function markdownToLines(markdown) { @@ -19569,12 +19569,12 @@ const createText = (el, text = "", { width = 200, addSvgBackground = false } = {}) => { - mermaid_04fb0060.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); + mermaid_0603ccf8.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); if (useHtmlLabels) { const htmlText = markdownToHTML(text); const node = { isNode, - label: (0,mermaid_04fb0060.J)(htmlText).replace( + label: (0,mermaid_0603ccf8.J)(htmlText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `<i class='${s.replace(":", " ")}'></i>` ), @@ -19593,7 +19593,7 @@ const createText = (el, text = "", { /***/ }), -/***/ 52494: +/***/ 79680: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { "use strict"; @@ -19604,19 +19604,20 @@ const createText = (el, text = "", { /* harmony export */ d: () => (/* binding */ clear), /* harmony export */ e: () => (/* binding */ insertNode), /* harmony export */ f: () => (/* binding */ insertEdgeLabel), -/* harmony export */ g: () => (/* binding */ insertEdge), -/* harmony export */ h: () => (/* binding */ positionEdgeLabel), +/* harmony export */ g: () => (/* binding */ getSubGraphTitleMargins), +/* harmony export */ h: () => (/* binding */ insertEdge), /* harmony export */ i: () => (/* binding */ intersectRect$1), -/* harmony export */ j: () => (/* binding */ getLineFunctionsWithOffset), -/* harmony export */ k: () => (/* binding */ addEdgeMarkers), +/* harmony export */ j: () => (/* binding */ positionEdgeLabel), +/* harmony export */ k: () => (/* binding */ getLineFunctionsWithOffset), /* harmony export */ l: () => (/* binding */ labelHelper), +/* harmony export */ m: () => (/* binding */ addEdgeMarkers), /* harmony export */ p: () => (/* binding */ positionNode), /* harmony export */ s: () => (/* binding */ setNodeElem), /* harmony export */ u: () => (/* binding */ updateNodeBounds) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(76562); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(73748); @@ -19626,7 +19627,7 @@ const insertMarkers = (elem, markerArray, type, id) => { }); }; const extension = (elem, type, id) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionStart").attr("class", "marker extension " + type).attr("refX", 18).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 1,7 L18,13 V 1 Z"); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionEnd").attr("class", "marker extension " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 1,1 V 13 L18,7 Z"); }; @@ -19679,7 +19680,7 @@ function applyStyle(dom, styleFn) { } } function addHtmlLabel(node) { - const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); + const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); const div = fo.append("xhtml:div"); const label = node.label; const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; @@ -19697,12 +19698,12 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { if (typeof vertexText === "object") { vertexText = vertexText[0]; } - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { vertexText = vertexText.replace(/\\n|\n/g, "<br />"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("vertexText" + vertexText); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("vertexText" + vertexText); const node = { isNode, - label: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( + label: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `<i class='${s.replace(":", " ")}'></i>` ), @@ -19740,7 +19741,7 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { const createLabel$1 = createLabel; const labelHelper = async (parent, node, _classes, isNode) => { let classes; - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); if (!_classes) { classes = "node default"; } else { @@ -19757,15 +19758,15 @@ const labelHelper = async (parent, node, _classes, isNode) => { const textNode = label.node(); let text; if (node.labelType === "markdown") { - text = (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { + text = (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { useHtmlLabels, - width: node.width || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, + width: node.width || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, classes: "markdown-node-label" }); } else { text = textNode.appendChild( createLabel$1( - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), node.labelStyle, false, isNode @@ -19774,9 +19775,9 @@ const labelHelper = async (parent, node, _classes, isNode) => { } let bbox = text.getBBox(); const halfPadding = node.padding / 2; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); const images = div.getElementsByTagName("img"); if (images) { const noImgText = labelText.replace(/<img[^>]*>/g, "").trim() === ""; @@ -19787,7 +19788,7 @@ const labelHelper = async (parent, node, _classes, isNode) => { img.style.display = "flex"; img.style.flexDirection = "column"; if (noImgText) { - const bodyFontSize = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; + const bodyFontSize = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; const enlargingFactor = 5; const width = parseInt(bodyFontSize, 10) * enlargingFactor + "px"; img.style.minWidth = width; @@ -19971,7 +19972,7 @@ const intersect = { rect: intersectRect$1 }; const note = async (parent, node) => { - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; if (!useHtmlLabels) { node.centerLabel = true; } @@ -19981,7 +19982,7 @@ const note = async (parent, node) => { "node " + node.classes, true ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); const rect2 = shapeSvg.insert("rect", ":first-child"); rect2.attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); updateNodeBounds(node, rect2); @@ -19991,6 +19992,208 @@ const note = async (parent, node) => { return shapeSvg; }; const note$1 = note; +const expandAndDeduplicateDirections = (directions) => { + const uniqueDirections = /* @__PURE__ */ new Set(); + for (const direction of directions) { + switch (direction) { + case "x": + uniqueDirections.add("right"); + uniqueDirections.add("left"); + break; + case "y": + uniqueDirections.add("up"); + uniqueDirections.add("down"); + break; + default: + uniqueDirections.add(direction); + break; + } + } + return uniqueDirections; +}; +const getArrowPoints = (duplicatedDirections, bbox, node) => { + const directions = expandAndDeduplicateDirections(duplicatedDirections); + const f = 2; + const height = bbox.height + 2 * node.padding; + const midpoint = height / f; + const width = bbox.width + 2 * midpoint + node.padding; + const padding = node.padding / 2; + if (directions.has("right") && directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + // Bottom + { x: 0, y: 0 }, + { x: midpoint, y: 0 }, + { x: width / 2, y: 2 * padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: 0 }, + // Right + { x: width, y: -height / 3 }, + { x: width + 2 * padding, y: -height / 2 }, + { x: width, y: -2 * height / 3 }, + { x: width, y: -height }, + // Top + { x: width - midpoint, y: -height }, + { x: width / 2, y: -height - 2 * padding }, + { x: midpoint, y: -height }, + // Left + { x: 0, y: -height }, + { x: 0, y: -2 * height / 3 }, + { x: -2 * padding, y: -height / 2 }, + { x: 0, y: -height / 3 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("up")) { + return [ + { x: midpoint, y: 0 }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: midpoint, y: -height }, + { x: width - midpoint, y: -height }, + { x: width, y: 0 } + ]; + } + if (directions.has("right") && directions.has("up") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: width, y: -height + midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: 0, y: -height + midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("right") && directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up") && directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + if (directions.has("right") && directions.has("up")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("right") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: 0 }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("left") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: 0 }, + { x: width, y: -height } + ]; + } + if (directions.has("right")) { + return [ + { x: midpoint, y: -padding }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + // top left corner of arrow + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding } + ]; + } + if (directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + // Two points, the right corners + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up")) { + return [ + // Bottom center + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding } + ]; + } + if (directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + return [{ x: 0, y: 0 }]; +}; const formatClass = (str) => { if (str) { return " " + str; @@ -20018,12 +20221,12 @@ const question = async (parent, node) => { { x: s / 2, y: -s }, { x: 0, y: -s / 2 } ]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); const questionElem = insertPolygonShape(shapeSvg, s, s, points); questionElem.attr("style", node.style); updateNodeBounds(node, questionElem); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); return intersect.polygon(node, points, point2); }; return shapeSvg; @@ -20078,6 +20281,21 @@ const hexagon = async (parent, node) => { }; return shapeSvg; }; +const block_arrow = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper(parent, node, void 0, true); + const f = 2; + const h = bbox.height + 2 * node.padding; + const m = h / f; + const w = bbox.width + 2 * m + node.padding; + const points = getArrowPoints(node.directions, bbox, node); + const blockArrow = insertPolygonShape(shapeSvg, w, h, points); + blockArrow.attr("style", node.style); + updateNodeBounds(node, blockArrow); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; const rect_left_inv_arrow = async (parent, node) => { const { shapeSvg, bbox } = await labelHelper( parent, @@ -20254,9 +20472,11 @@ const rect = async (parent, node) => { true ); const rect2 = shapeSvg.insert("rect", ":first-child"); - const totalWidth = bbox.width + node.padding; - const totalHeight = bbox.height + node.padding; - rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", totalWidth).attr("height", totalHeight); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); if (node.props) { const propKeys = new Set(Object.keys(node.props)); if (node.props.borders) { @@ -20264,7 +20484,36 @@ const rect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + }); + } + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const composite = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + "node " + node.classes, + true + ); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic cluster composite label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); + if (node.props) { + const propKeys = new Set(Object.keys(node.props)); + if (node.props.borders) { + applyNodePropertyBorders(rect2, node.props.borders, totalWidth, totalHeight); + propKeys.delete("borders"); + } + propKeys.forEach((propKey) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -20275,7 +20524,7 @@ const rect = async (parent, node) => { }; const labelRect = async (parent, node) => { const { shapeSvg } = await labelHelper(parent, node, "label", true); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); const rect2 = shapeSvg.insert("rect", ":first-child"); const totalWidth = 0; const totalHeight = 0; @@ -20288,7 +20537,7 @@ const labelRect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -20306,25 +20555,25 @@ function applyNodePropertyBorders(rect2, borders, totalWidth, totalHeight) { strokeDashArray.push(0, length); }; if (borders.includes("t")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("r")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); addBorder(totalHeight); } else { skipBorder(totalHeight); } if (borders.includes("b")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("l")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); addBorder(totalHeight); } else { skipBorder(totalHeight); @@ -20349,36 +20598,36 @@ const rectWithTitle = (parent, node) => { } else { title = text2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); const text = label.node().appendChild(createLabel$1(title, node.labelStyle, true, true)); let bbox = { width: 0, height: 0 }; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); const textRows = text2.slice(1, text2.length); let titleBox = text.getBBox(); const descr = label.node().appendChild( createLabel$1(textRows.join ? textRows.join("<br/>") : textRows, node.labelStyle, true, true) ); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = descr.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } const halfPadding = node.padding / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width > titleBox.width ? 0 : (titleBox.width - bbox.width) / 2) + ", " + (titleBox.height + halfPadding + 5) + ")" ); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width < titleBox.width ? 0 : -(titleBox.width - bbox.width) / 2) + ", 0)" @@ -20421,10 +20670,10 @@ const circle = async (parent, node) => { ); const circle2 = shapeSvg.insert("circle", ":first-child"); circle2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); updateNodeBounds(node, circle2); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); return intersect.circle(node, bbox.width / 2 + halfPadding, point2); }; return shapeSvg; @@ -20443,10 +20692,10 @@ const doublecircle = async (parent, node) => { circleGroup.attr("class", node.class); outerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding + gap).attr("width", bbox.width + node.padding + gap * 2).attr("height", bbox.height + node.padding + gap * 2); innerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); updateNodeBounds(node, outerCircle); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); return intersect.circle(node, bbox.width / 2 + halfPadding + gap, point2); }; return shapeSvg; @@ -20541,9 +20790,9 @@ const class_box = (parent, node) => { const interfaceLabelText = node.classData.annotations[0] ? "«" + node.classData.annotations[0] + "»" : ""; const interfaceLabel = labelContainer.node().appendChild(createLabel$1(interfaceLabelText, node.labelStyle, true, true)); let interfaceBBox = interfaceLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = interfaceLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel); interfaceBBox = div.getBoundingClientRect(); dv.attr("width", interfaceBBox.width); dv.attr("height", interfaceBBox.height); @@ -20554,18 +20803,18 @@ const class_box = (parent, node) => { } let classTitleString = node.classData.label; if (node.classData.type !== void 0 && node.classData.type !== "") { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { classTitleString += "<" + node.classData.type + ">"; } else { classTitleString += "<" + node.classData.type + ">"; } } const classTitleLabel = labelContainer.node().appendChild(createLabel$1(classTitleString, node.labelStyle, true, true)); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr("class", "classTitle"); + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr("class", "classTitle"); let classTitleBBox = classTitleLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = classTitleLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel); classTitleBBox = div.getBoundingClientRect(); dv.attr("width", classTitleBBox.width); dv.attr("height", classTitleBBox.height); @@ -20578,7 +20827,7 @@ const class_box = (parent, node) => { node.classData.members.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let parsedText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { parsedText = parsedText.replace(/</g, "<").replace(/>/g, ">"); } const lbl = labelContainer.node().appendChild( @@ -20590,9 +20839,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -20608,7 +20857,7 @@ const class_box = (parent, node) => { node.classData.methods.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let displayText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { displayText = displayText.replace(/</g, "<").replace(/>/g, ">"); } const lbl = labelContainer.node().appendChild( @@ -20620,9 +20869,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -20636,14 +20885,14 @@ const class_box = (parent, node) => { maxHeight += lineHeight; if (hasInterface) { let diffX2 = (maxWidth - interfaceBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX2) + ", " + -1 * maxHeight / 2 + ")" ); verticalPos = interfaceBBox.height + rowPadding; } let diffX = (maxWidth - classTitleBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX) + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -20651,7 +20900,7 @@ const class_box = (parent, node) => { topLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classAttributes.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos + lineHeight / 2) + ")" ); @@ -20662,7 +20911,7 @@ const class_box = (parent, node) => { bottomLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classMethods.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -20678,6 +20927,7 @@ const class_box = (parent, node) => { }; const shapes = { rhombus: question, + composite, question, rect, labelRect, @@ -20687,6 +20937,7 @@ const shapes = { doublecircle, stadium, hexagon, + block_arrow, rect_left_inv_arrow, lean_right, lean_left, @@ -20708,7 +20959,7 @@ const insertNode = async (elem, node, dir) => { let el; if (node.link) { let target; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { target = "_top"; } else if (node.linkTarget) { target = node.linkTarget || "_blank"; @@ -20725,6 +20976,8 @@ const insertNode = async (elem, node, dir) => { if (node.class) { el.attr("class", "node default " + node.class); } + newEl.attr("data-node", "true"); + newEl.attr("data-id", node.id); nodeElems[node.id] = newEl; if (node.haveCallback) { nodeElems[node.id].attr("class", nodeElems[node.id].attr("class") + " clickable"); @@ -20739,7 +20992,7 @@ const clear$1 = () => { }; const positionNode = (node) => { const el = nodeElems[node.id]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( "Transforming node", node.diff, node, @@ -20757,6 +21010,19 @@ const positionNode = (node) => { } return diff; }; +const getSubGraphTitleMargins = ({ + flowchart +}) => { + var _a, _b; + const subGraphTitleTopMargin = ((_a = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _a.top) ?? 0; + const subGraphTitleBottomMargin = ((_b = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _b.bottom) ?? 0; + const subGraphTitleTotalMargin = subGraphTitleTopMargin + subGraphTitleBottomMargin; + return { + subGraphTitleTopMargin, + subGraphTitleBottomMargin, + subGraphTitleTotalMargin + }; +}; const markerOffsets = { aggregation: 18, extension: 18, @@ -20837,7 +21103,7 @@ const arrowTypesMap = { const addEdgeMarker = (svgPath, position, arrowType, url, id, diagramType) => { const endMarkerType = arrowTypesMap[arrowType]; if (!endMarkerType) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); return; } const suffix = position === "start" ? "Start" : "End"; @@ -20850,20 +21116,19 @@ const clear = () => { terminalLabels = {}; }; const insertEdgeLabel = (elem, edge) => { - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); - const labelElement = edge.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const labelElement = edge.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { style: edge.labelStyle, useHtmlLabels, addSvgBackground: true }) : createLabel$1(edge.label, edge.labelStyle); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc82", edge, edge.labelType); const edgeLabel = elem.insert("g").attr("class", "edgeLabel"); const label = edgeLabel.insert("g").attr("class", "label"); label.node().appendChild(labelElement); let bbox = labelElement.getBBox(); if (useHtmlLabels) { const div = labelElement.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(labelElement); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(labelElement); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -20931,21 +21196,23 @@ const insertEdgeLabel = (elem, edge) => { return labelElement; }; function setTerminalWidth(fo, value) { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { fo.style.width = value.length * 9 + "px"; fo.style.height = "12px"; } } const positionEdgeLabel = (edge, paths) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Moving label abc78 ", edge.id, edge.label, edgeLabels[edge.id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Moving label abc88 ", edge.id, edge.label, edgeLabels[edge.id], paths); let path = paths.updatedPath ? paths.updatedPath : paths.originalPath; + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const { subGraphTitleTotalMargin } = getSubGraphTitleMargins(siteConfig); if (edge.label) { const el = edgeLabels[edge.id]; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug( "Moving label " + edge.label + " from (", x, ",", @@ -20954,32 +21221,32 @@ const positionEdgeLabel = (edge, paths) => { pos.x, ",", pos.y, - ") abc78" + ") abc88" ); if (paths.updatedPath) { x = pos.x; y = pos.y; } } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y + subGraphTitleTotalMargin / 2})`); } if (edge.startLabelLeft) { const el = terminalLabels[edge.id].startLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.startLabelRight) { const el = terminalLabels[edge.id].startRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( edge.arrowTypeStart ? 10 : 0, "start_right", path @@ -20987,29 +21254,29 @@ const positionEdgeLabel = (edge, paths) => { x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelLeft) { const el = terminalLabels[edge.id].endLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelRight) { const el = terminalLabels[edge.id].endRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } }; const outsideNode = (node, point2) => { @@ -21025,7 +21292,7 @@ const outsideNode = (node, point2) => { return false; }; const intersection = (node, outsidePoint, insidePoint) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`intersection calc abc89: + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`intersection calc abc89: outsidePoint: ${JSON.stringify(outsidePoint)} insidePoint : ${JSON.stringify(insidePoint)} node : x:${node.x} y:${node.y} w:${node.width} h:${node.height}`); @@ -21054,7 +21321,7 @@ const intersection = (node, outsidePoint, insidePoint) => { if (Q === 0) { res.y = outsidePoint.y; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); return res; } else { if (insidePoint.x < outsidePoint.x) { @@ -21065,7 +21332,7 @@ const intersection = (node, outsidePoint, insidePoint) => { let q = Q * r / R; let _x = insidePoint.x < outsidePoint.x ? insidePoint.x + R - r : insidePoint.x - R + r; let _y = insidePoint.y < outsidePoint.y ? insidePoint.y + q : insidePoint.y - q; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); if (r === 0) { _x = outsidePoint.x; _y = outsidePoint.y; @@ -21080,71 +21347,58 @@ const intersection = (node, outsidePoint, insidePoint) => { } }; const cutPathAtIntersect = (_points, boundryNode) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 cutPathAtIntersect", _points, boundryNode); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 cutPathAtIntersect", _points, boundryNode); let points = []; let lastPointOutside = _points[0]; let isInside = false; _points.forEach((point2) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 checking point", point2, boundryNode); if (!outsideNode(boundryNode, point2) && !isInside) { const inter = intersection(boundryNode, lastPointOutside, point2); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 inside", point2, lastPointOutside, inter); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 intersection", inter); let pointPresent = false; points.forEach((p) => { pointPresent = pointPresent || p.x === inter.x && p.y === inter.y; }); if (!points.some((e) => e.x === inter.x && e.y === inter.y)) { points.push(inter); - } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 no intersect", inter, points); } isInside = true; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 outside", point2, lastPointOutside); lastPointOutside = point2; if (!isInside) { points.push(point2); } } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 returning points", points); return points; }; const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { let points = edge.points; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 InsertEdge: edge=", edge, "e=", e); let pointsHasChanged = false; const tail = graph.node(e.v); var head = graph.node(e.w); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 InsertEdge: ", edge); - if (head.intersect && tail.intersect) { + if ((head == null ? void 0 : head.intersect) && (tail == null ? void 0 : tail.intersect)) { points = points.slice(1, edge.points.length - 1); points.unshift(tail.intersect(points[0])); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( - "Last point", - points[points.length - 1], - head, - head.intersect(points[points.length - 1]) - ); points.push(head.intersect(points[points.length - 1])); } if (edge.toCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("to cluster abc88", clusterDb[edge.toCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("to cluster abc88", clusterDb[edge.toCluster]); points = cutPathAtIntersect(edge.points, clusterDb[edge.toCluster].node); pointsHasChanged = true; } if (edge.fromCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("from cluster abc88", clusterDb[edge.fromCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("from cluster abc88", clusterDb[edge.fromCluster]); points = cutPathAtIntersect(points.reverse(), clusterDb[edge.fromCluster].node).reverse(); pointsHasChanged = true; } const lineData = points.filter((p) => !Number.isNaN(p.y)); - let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .$0Z; + let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .k7; if (edge.curve && (diagramType === "graph" || diagramType === "flowchart")) { curve = edge.curve; } const { x, y } = getLineFunctionsWithOffset(edge); - const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(x).y(y).curve(curve); + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(x).y(y).curve(curve); let strokeClasses; switch (edge.thickness) { case "normal": @@ -21172,13 +21426,11 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { } const svgPath = elem.append("path").attr("d", lineFunction(lineData)).attr("id", edge.id).attr("class", " " + strokeClasses + (edge.classes ? " " + edge.classes : "")).attr("style", edge.style); let url = ""; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { url = window.location.protocol + "//" + window.location.host + window.location.pathname + window.location.search; url = url.replace(/\(/g, "\\("); url = url.replace(/\)/g, "\\)"); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeStart", edge.arrowTypeStart); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeEnd", edge.arrowTypeEnd); addEdgeMarkers(svgPath, edge, url, id, diagramType); let paths = {}; if (pointsHasChanged) { @@ -21192,7 +21444,7 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { /***/ }), -/***/ 94641: +/***/ 4216: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { "use strict"; @@ -21201,8 +21453,8 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { /* harmony export */ f: () => (/* binding */ flowDb), /* harmony export */ p: () => (/* binding */ parser$1) /* harmony export */ }); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); var parser = function() { @@ -22285,7 +22537,7 @@ parser.parser = parser; const parser$1 = parser; const MERMAID_DOM_ID_PREFIX = "flowchart-"; let vertexCounter = 0; -let config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); +let config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); let vertices = {}; let edges = []; let classes = {}; @@ -22297,7 +22549,7 @@ let firstGraphFlag = true; let direction; let version; let funs = []; -const sanitizeText = (txt) => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, config); +const sanitizeText = (txt) => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, config); const lookUpDomId = function(id) { const veritceKeys = Object.keys(vertices); for (const veritceKey of veritceKeys) { @@ -22327,7 +22579,7 @@ const addVertex = function(_id, textObj, type, style, classes2, dir, props = {}) } vertexCounter++; if (textObj !== void 0) { - config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); txt = sanitizeText(textObj.text.trim()); vertices[id].labelType = textObj.type; if (txt[0] === '"' && txt[txt.length - 1] === '"') { @@ -22365,7 +22617,7 @@ const addSingleLink = function(_start, _end, type) { let start = _start; let end = _end; const edge = { start, end, type: void 0, text: "", labelType: "text" }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 Got edge...", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 Got edge...", edge); const linkTextObj = type.text; if (linkTextObj !== void 0) { edge.text = sanitizeText(linkTextObj.text.trim()); @@ -22383,7 +22635,7 @@ const addSingleLink = function(_start, _end, type) { edge.length = 10; } if (edges.length < (config.maxEdges ?? 500)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 pushing edge..."); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 pushing edge..."); edges.push(edge); } else { throw new Error( @@ -22396,7 +22648,7 @@ You have to call mermaid.initialize.` } }; const addLink = function(_start, _end, type) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("addLink (abc78)", _start, _end, type); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("addLink (abc78)", _start, _end, type); let i, j; for (i = 0; i < _start.length; i++) { for (j = 0; j < _end.length; j++) { @@ -22423,7 +22675,7 @@ const updateLink = function(positions, style) { if (pos === "default") { edges.defaultStyle = style; } else { - if (_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.isSubstringInArray("fill", style) === -1) { + if (_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.isSubstringInArray("fill", style) === -1) { style.push("fill:none"); } edges[pos].style = style; @@ -22484,7 +22736,7 @@ const setTooltip = function(ids, tooltip) { }; const setClickFun = function(id, functionName, functionArgs) { let domId = lookUpDomId(id); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel !== "loose") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel !== "loose") { return; } if (functionName === void 0) { @@ -22512,7 +22764,7 @@ const setClickFun = function(id, functionName, functionArgs) { elem.addEventListener( "click", function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); }, false ); @@ -22523,7 +22775,7 @@ const setClickFun = function(id, functionName, functionArgs) { const setLink = function(ids, linkStr, target) { ids.split(",").forEach(function(id) { if (vertices[id] !== void 0) { - vertices[id].link = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); + vertices[id].link = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); vertices[id].linkTarget = target; } }); @@ -22559,14 +22811,14 @@ const getClasses = function() { return classes; }; const setupToolTips = function(element) { - let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(".mermaidTooltip"); + let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(".mermaidTooltip"); if ((tooltipElem._groups || tooltipElem)[0][0] === null) { - tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); + tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); } - const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(element).select("svg"); + const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(element).select("svg"); const nodes = svg.selectAll("g.node"); nodes.on("mouseover", function() { - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); const title = el.attr("title"); if (title === null) { return; @@ -22578,7 +22830,7 @@ const setupToolTips = function(element) { el.classed("hover", true); }).on("mouseout", function() { tooltipElem.transition().duration(500).style("opacity", 0); - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); el.classed("hover", false); }); }; @@ -22594,8 +22846,8 @@ const clear = function(ver = "gen-1") { tooltips = {}; firstGraphFlag = true; version = ver; - config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.t)(); + config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.t)(); }; const setGen = (ver) => { version = ver || "gen-2"; @@ -22650,7 +22902,7 @@ const addSubGraph = function(_id, list, _title) { dir, labelType: _title.type }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Adding", subGraph.id, subGraph.nodes, subGraph.dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Adding", subGraph.id, subGraph.nodes, subGraph.dir); subGraph.nodes = makeUniq(subGraph, subGraphs).nodes; subGraphs.push(subGraph); subGraphLookup[id] = subGraph; @@ -22845,11 +23097,11 @@ const lex = { firstGraph }; const flowDb = { - defaultConfig: () => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.I.flowchart, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.g, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.b, + defaultConfig: () => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.H.flowchart, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.g, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.b, addVertex, lookUpDomId, addLink, @@ -22878,8 +23130,8 @@ const flowDb = { lex, exists, makeUniq, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.r + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.r }; const db = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ __proto__: null, @@ -22917,21 +23169,21 @@ const db = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ /***/ }), -/***/ 10194: +/***/ 75184: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { "use strict"; /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _flowDb_f4777d50_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(94641); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(52494); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(24743); -/* harmony import */ var elkjs_lib_elk_bundled_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17295); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(22424); +/* harmony import */ var _flowDb_d35e309a_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(4216); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79680); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(79010); +/* harmony import */ var elkjs_lib_elk_bundled_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(61707); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(57776); @@ -22984,7 +23236,7 @@ const addVertices = async function(vert, svgId, root, doc, diagObj, parentLookup classStr = vertex.classes.join(" "); } classStr = classStr + " flowchart-label"; - const styles2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.k)(vertex.styles); + const styles2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.k)(vertex.styles); let vertexText = vertex.text !== void 0 ? vertex.text : vertex.id; const labelData = { width: 0, height: 0 }; const ports = [ @@ -23094,18 +23346,18 @@ const addVertices = async function(vert, svgId, root, doc, diagObj, parentLookup dir: vertex.dir, type: vertex.type, props: vertex.props, - padding: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.E)().flowchart.padding + padding: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.E)().flowchart.padding }; let boundingBox; let nodeEl; if (node.type !== "group") { - nodeEl = await (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, node, vertex.dir); + nodeEl = await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, node, vertex.dir); boundingBox = nodeEl.node().getBBox(); } else { doc.createElementNS("http://www.w3.org/2000/svg", "text"); - const { shapeSvg, bbox } = await (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.l)(nodes, node, void 0, true); + const { shapeSvg, bbox } = await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.l)(nodes, node, void 0, true); labelData.width = bbox.width; - labelData.wrappingWidth = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.E)().flowchart.wrappingWidth; + labelData.wrappingWidth = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.E)().flowchart.wrappingWidth; labelData.height = bbox.height; labelData.labelNode = shapeSvg.node(); node.labelData = labelData; @@ -23187,11 +23439,10 @@ const getNextPosition = (position, edgeDirection, graphDirection) => { } }; portPos2.TD = portPos2.TB; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc88", graphDirection, edgeDirection, position); return portPos2[graphDirection][edgeDirection][position]; }; const getNextPort = (node, edgeDirection, graphDirection) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("getNextPort abc88", { node, edgeDirection, graphDirection }); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("getNextPort", { node, edgeDirection, graphDirection }); if (!portPos[node]) { switch (graphDirection) { case "TB": @@ -23256,14 +23507,14 @@ const getEdgeStartEndPoint = (edge, dir) => { return { source, target, sourceId, targetId }; }; const addEdges = function(edges, diagObj, graph, svg) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc78 edges = ", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc78 edges = ", edges); const labelsEl = svg.insert("g").attr("class", "edgeLabels"); let linkIdCnt = {}; let dir = diagObj.db.getDirection(); let defaultStyle; let defaultLabelStyle; if (edges.defaultStyle !== void 0) { - const defaultStyles = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.k)(edges.defaultStyle); + const defaultStyles = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.k)(edges.defaultStyle); defaultStyle = defaultStyles.style; defaultLabelStyle = defaultStyles.labelStyle; } @@ -23271,13 +23522,13 @@ const addEdges = function(edges, diagObj, graph, svg) { const linkIdBase = "L-" + edge.start + "-" + edge.end; if (linkIdCnt[linkIdBase] === void 0) { linkIdCnt[linkIdBase] = 0; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); } else { linkIdCnt[linkIdBase]++; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); } let linkId = linkIdBase + "-" + linkIdCnt[linkIdBase]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc78 new link id to be used is", linkIdBase, linkId, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("abc78 new link id to be used is", linkIdBase, linkId, linkIdCnt[linkIdBase]); const linkNameStart = "LS-" + edge.start; const linkNameEnd = "LE-" + edge.end; const edgeData = { style: "", labelStyle: "" }; @@ -23332,18 +23583,18 @@ const addEdges = function(edges, diagObj, graph, svg) { break; } if (edge.style !== void 0) { - const styles2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.k)(edge.style); + const styles2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.k)(edge.style); style = styles2.style; labelStyle = styles2.labelStyle; } edgeData.style = edgeData.style += style; edgeData.labelStyle = edgeData.labelStyle += labelStyle; if (edge.interpolate !== void 0) { - edgeData.curve = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.n)(edge.interpolate, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.n)(edge.interpolate, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .qGi); } else if (edges.defaultInterpolate !== void 0) { - edgeData.curve = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.n)(edges.defaultInterpolate, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.n)(edges.defaultInterpolate, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .qGi); } else { - edgeData.curve = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.n)(conf.curve, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.n)(conf.curve, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .qGi); } if (edge.text === void 0) { if (edge.style !== void 0) { @@ -23354,16 +23605,16 @@ const addEdges = function(edges, diagObj, graph, svg) { edgeData.labelpos = "c"; } edgeData.labelType = edge.labelType; - edgeData.label = edge.text.replace(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.e.lineBreakRegex, "\n"); + edgeData.label = edge.text.replace(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.e.lineBreakRegex, "\n"); if (edge.style === void 0) { edgeData.style = edgeData.style || "stroke: #333; stroke-width: 1.5px;fill:none;"; } edgeData.labelStyle = edgeData.labelStyle.replace("color:", "fill:"); edgeData.id = linkId; edgeData.classes = "flowchart-link " + linkNameStart + " " + linkNameEnd; - const labelEl = (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.f)(labelsEl, edgeData); + const labelEl = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.f)(labelsEl, edgeData); const { source, target, sourceId, targetId } = getEdgeStartEndPoint(edge, dir); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.debug("abc78 source and target", source, target); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.debug("abc78 source and target", source, target); graph.edges.push({ id: "e" + edge.start + edge.end, sources: [source], @@ -23396,16 +23647,16 @@ const addMarkersToEdge = function(svgPath, edgeData, diagramType, arrowMarkerAbs url = url.replace(/\(/g, "\\("); url = url.replace(/\)/g, "\\)"); } - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.k)(svgPath, edgeData, url, id, diagramType); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.m)(svgPath, edgeData, url, id, diagramType); }; const getClasses = function(text, diagObj) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Extracting classes"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Extracting classes"); return diagObj.db.getClasses(); }; const addSubGraphs = function(db2) { const parentLookupDb = { parentById: {}, childrenById: {} }; const subgraphs = db2.getSubGraphs(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Subgraphs - ", subgraphs); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Subgraphs - ", subgraphs); subgraphs.forEach(function(subgraph) { subgraph.nodes.forEach(function(node) { parentLookupDb.parentById[node] = subgraph.id; @@ -23442,11 +23693,11 @@ const insertEdge = function(edgesEl, edge, edgeData, diagObj, parentLookupDb, id ...segPoints, [dest.x + offset.x, dest.y + offset.y] ]; - const { x, y } = (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.j)(edge.edgeData); - const curve = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(x).y(y).curve(d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .c_6); + const { x, y } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.k)(edge.edgeData); + const curve = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(x).y(y).curve(d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .qGi); const edgePath = edgesEl.insert("path").attr("d", curve(points)).attr("class", "path " + edgeData.classes).attr("fill", "none"); const edgeG = edgesEl.insert("g").attr("class", "edgeLabel"); - const edgeWithLabel = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(edgeG.node().appendChild(edge.labelEl)); + const edgeWithLabel = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(edgeG.node().appendChild(edge.labelEl)); const box = edgeWithLabel.node().firstChild.getBoundingClientRect(); edgeWithLabel.attr("width", box.width); edgeWithLabel.attr("height", box.height); @@ -23477,7 +23728,7 @@ const draw = async function(text, id, _version, diagObj) { portPos = {}; diagObj.db.setGen("gen-2"); diagObj.parser.parse(text); - const renderEl = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body").append("div").attr("style", "height:400px").attr("id", "cy"); + const renderEl = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body").append("div").attr("style", "height:400px").attr("id", "cy"); let graph = { id: "root", layoutOptions: { @@ -23492,7 +23743,7 @@ const draw = async function(text, id, _version, diagObj) { children: [], edges: [] }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Drawing flowchart using v3 renderer", elk); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Drawing flowchart using v3 renderer", elk); let dir = diagObj.db.getDirection(); switch (dir) { case "BT": @@ -23508,20 +23759,20 @@ const draw = async function(text, id, _version, diagObj) { graph.layoutOptions["elk.direction"] = "LEFT"; break; } - const { securityLevel, flowchart: conf2 } = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.E)(); + const { securityLevel, flowchart: conf2 } = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.E)(); let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); const doc = securityLevel === "sandbox" ? sandboxElement.nodes()[0].contentDocument : document; const svg = root.select(`[id="${id}"]`); const markers = ["point", "circle", "cross"]; - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.a)(svg, markers, diagObj.type, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.a)(svg, markers, diagObj.type, id); const vert = diagObj.db.getVertices(); let subG; const subGraphs = diagObj.db.getSubGraphs(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Subgraphs - ", subGraphs); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Subgraphs - ", subGraphs); for (let i = subGraphs.length - 1; i >= 0; i--) { subG = subGraphs[i]; diagObj.db.addVertex( @@ -23565,14 +23816,14 @@ const draw = async function(text, id, _version, diagObj) { } }); insertChildren(graph.children, parentLookupDb); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("after layout", JSON.stringify(graph, null, 2)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("after layout", JSON.stringify(graph, null, 2)); const g = await elk.layout(graph); drawNodes(0, 0, g.children, svg, subGraphsEl, diagObj, 0); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("after layout", g); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("after layout", g); (_a = g.edges) == null ? void 0 : _a.map((edge) => { insertEdge(edgesEl, edge, edge.edgeData, diagObj, parentLookupDb, id); }); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.o)({}, svg, conf2.diagramPadding, conf2.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.o)({}, svg, conf2.diagramPadding, conf2.useMaxWidth); renderEl.remove(); }; const drawNodes = (relX, relY, nodeArray, svg, subgraphsEl, diagObj, depth) => { @@ -23591,15 +23842,15 @@ const drawNodes = (relX, relY, nodeArray, svg, subgraphsEl, diagObj, depth) => { const subgraphEl = subgraphsEl.insert("g").attr("class", "subgraph"); subgraphEl.insert("rect").attr("class", "subgraph subgraph-lvl-" + depth % 5 + " node").attr("x", node.x + relX).attr("y", node.y + relY).attr("width", node.width).attr("height", node.height); const label = subgraphEl.insert("g").attr("class", "label"); - const labelCentering = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.E)().flowchart.htmlLabels ? node.labelData.width / 2 : 0; + const labelCentering = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.E)().flowchart.htmlLabels ? node.labelData.width / 2 : 0; label.attr( "transform", `translate(${node.labels[0].x + relX + node.x + labelCentering}, ${node.labels[0].y + relY + node.y + 3})` ); label.node().appendChild(node.labelData.labelNode); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Id (UGH)= ", node.type, node.labels); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Id (UGH)= ", node.type, node.labels); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Id (UGH)= ", node.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.info("Id (UGH)= ", node.id); node.el.attr( "transform", `translate(${node.x + relX + node.width / 2}, ${node.y + relY + node.height / 2})` @@ -23739,9 +23990,9 @@ const getStyles = (options) => `.label { `; const styles = getStyles; const diagram = { - db: _flowDb_f4777d50_js__WEBPACK_IMPORTED_MODULE_7__.d, + db: _flowDb_d35e309a_js__WEBPACK_IMPORTED_MODULE_7__.d, renderer, - parser: _flowDb_f4777d50_js__WEBPACK_IMPORTED_MODULE_7__.p, + parser: _flowDb_d35e309a_js__WEBPACK_IMPORTED_MODULE_7__.p, styles }; diff --git a/assets/js/185d8429.d29255f3.js b/assets/js/185d8429.b2c5a1a6.js similarity index 79% rename from assets/js/185d8429.d29255f3.js rename to assets/js/185d8429.b2c5a1a6.js index 4edba1867..b676d7623 100644 --- 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t,e;for(e=n.c.a.ec().Kc();e.Ob();)Xb(t=uG(e.Pb(),219),new MV(t.f))}function Gon(n){var t,e;for(e=n.c.a.ec().Kc();e.Ob();)zb(t=uG(e.Pb(),219),new PIn(t.e))}function qon(n,t){var e;e=n.zb,n.zb=t,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,1,e,n.zb))}function Xon(n,t){var e;e=n.xb,n.xb=t,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,3,e,n.xb))}function zon(n,t){var e;e=n.yb,n.yb=t,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,2,e,n.yb))}function Von(n,t){var e;(e=new Wk).n=t,ttn((!n.s&&(n.s=new fV(o_t,n,21,17)),n.s),e)}function Won(n,t){var e;(e=new PK).n=t,ttn((!n.s&&(n.s=new fV(o_t,n,21,17)),n.s),e)}function Qon(n,t){var e,i,r;for(tJ(t),e=!1,r=t.Kc();r.Ob();)i=r.Pb(),e|=n.Fc(i);return e}function Jon(n){var t,e,i;for(t=0,i=n.Kc();i.Ob();)t=~~(t+=null!=(e=i.Pb())?Hon(e):0);return t}function Yon(n,t){var e=n.a,i=0;for(var r in e)e.hasOwnProperty(r)&&(t[i++]=r);return t}function Zon(n){var t;return 0==n?"UTC":(n<0?(n=-n,t="UTC+"):t="UTC-",t+oin(n))}function nun(n){return n.a<54?n.f<0?-1:n.f>0?1:0:(!n.c&&(n.c=j2(Bsn(n.f))),n.c).e}function tun(n,t){t?null==n.B&&(n.B=n.D,n.D=null):null!=n.B&&(n.D=n.B,n.B=null)}function eun(n,t){return Xhn(),n==Flt&&t==Hlt||n==Hlt&&t==Flt||n==Blt&&t==_lt||n==_lt&&t==Blt}function iun(n,t){return Xhn(),n==Flt&&t==_lt||n==Flt&&t==Blt||n==Hlt&&t==Blt||n==Hlt&&t==_lt}function run(n,t){return YN(),oan(Z2n),e.Math.abs(0-t)<=Z2n||0==t||isNaN(0)&&isNaN(t)?0:n/t}function cun(n,t){return uM(pK(yx(cdn(YJ(new fX(null,new h3(n.c.b,16)),new _g(n)),t))))}function aun(n,t){return uM(pK(yx(cdn(YJ(new fX(null,new h3(n.c.b,16)),new Fg(n)),t))))}function oun(){return r_n(),Uhn(cT(bpt,1),p1n,259,0,[Zgt,tpt,ept,ipt,rpt,cpt,opt,Ygt,npt,apt])}function uun(){return THn(),Uhn(cT(Hjt,1),p1n,243,0,[$jt,Ijt,Ljt,Ojt,Ajt,Sjt,Njt,Djt,Pjt,Cjt])}function sun(n,t){t.Ug("General Compactor",1),Bpn(uG(zDn(n,(jOn(),LIt)),393)).Cg(n)}function hun(n,t){var e,i;return e=uG(zDn(n,(jOn(),FIt)),17),i=uG(zDn(t,FIt),17),d$(e.a,i.a)}function fun(n,t,e){var i,r;for(r=Fkn(n,0);r.b!=r.d.c;)(i=uG(I6(r),8)).a+=t,i.b+=e;return n}function lun(n,t,e){var i;for(i=n.b[e&n.f];i;i=i.b)if(e==i.a&&xQ(t,i.g))return i;return null}function bun(n,t,e){var i;for(i=n.c[e&n.f];i;i=i.d)if(e==i.f&&xQ(t,i.i))return i;return null}function wun(n,t,e){var i,r,c;for(i=0,r=0;r<e;r++)c=t[r],n[r]=c<<1|i,i=c>>>31;0!=i&&(n[e]=i)}function dun(n,t,e,i,r,c){var a;this.c=n,tTn(n,a=new Zm,t,n.b,e,i,r,c),this.a=new N4(a,0)}function gun(){this.c=new Vj(0),this.b=new Vj(F9n),this.d=new Vj(K9n),this.a=new Vj(_3n)}function pun(n,t,e,i,r,c,a){_E.call(this,n,t),this.d=e,this.e=i,this.c=r,this.b=c,this.a=n7(a)}function mun(n,t,e,i,r,c,a,o,u,s,h,f,l){return eLn(n,t,e,i,r,c,a,o,u,s,h,f,l),Sgn(n,!1),n}function vun(n){return n.b.c.i.k==(zIn(),lbt)?uG(oIn(n.b.c.i,(GYn(),rmt)),12):n.b.c}function kun(n){return n.b.d.i.k==(zIn(),lbt)?uG(oIn(n.b.d.i,(GYn(),rmt)),12):n.b.d}function yun(n){var t;return _A((t=t6(n)).a,0)?(gS(),gS(),fut):(gS(),new dR(t.b))}function Mun(n){var t;return _A((t=Z4(n)).a,0)?(dS(),dS(),hut):(dS(),new wR(t.b))}function Tun(n){var t;return _A((t=Z4(n)).a,0)?(dS(),dS(),hut):(dS(),new wR(t.c))}function jun(n){switch(n.g){case 2:return KQn(),_Rt;case 4:return KQn(),kRt;default:return n}}function Eun(n){switch(n.g){case 1:return KQn(),KRt;case 3:return KQn(),yRt;default:return n}}function Sun(n){switch(n.g){case 0:return new Wo;case 1:return new Qo;default:return null}}function Pun(){Pun=E,Hwt=new uF("edgelabelcenterednessanalysis.includelabel",(qx(),tot))}function Cun(){Cun=E,FEt=Lvn(gL(Aq(Aq(new wJ,(uIn(),Elt),(zYn(),kwt)),Slt,hwt),Plt),vwt)}function Iun(){Iun=E,XEt=Lvn(gL(Aq(Aq(new wJ,(uIn(),Elt),(zYn(),kwt)),Slt,hwt),Plt),vwt)}function Oun(){Oun=E,V_t=new Qk,Q_t=Uhn(cT(o_t,1),krt,179,0,[]),W_t=Uhn(cT(p_t,1),yrt,62,0,[])}function Aun(){Aun=E,Obt=new PC("TO_INTERNAL_LTR",0),Ibt=new PC("TO_INPUT_DIRECTION",1)}function Lun(){Lun=E,Tbt=new Bt,ybt=new Ht,Mbt=new Ut,kbt=new Gt,jbt=new qt,Ebt=new Xt}function Nun(n,t){t.Ug(g6n,1),Apn(FS(new Ad((zS(),new mY(n,!1,!1,new Ft))))),t.Vg()}function $un(n,t,e){e.Ug("DFS Treeifying phase",1),qmn(n,t),qKn(n,t),n.a=null,n.b=null,e.Vg()}function Dun(n,t){return qx(),RA(n)?r7(n,mK(t)):FA(n)?Rz(n,pK(t)):KA(n)?xz(n,gK(t)):n.Fd(t)}function xun(n,t){var e,i;for(tJ(t),i=t.vc().Kc();i.Ob();)e=uG(i.Pb(),44),n.zc(e.ld(),e.md())}function Run(n,t,e){var i;for(i=e.Kc();i.Ob();)if(!H5(n,t,i.Pb()))return!1;return!0}function Kun(n,t,e,i,r){var c;return e&&(c=emn(t.Dh(),n.c),r=e.Rh(t,-1-(-1==c?i:c),null,r)),r}function Fun(n,t,e,i,r){var c;return e&&(c=emn(t.Dh(),n.c),r=e.Th(t,-1-(-1==c?i:c),null,r)),r}function _un(n){var t;if(-2==n.b){if(0==n.e)t=-1;else for(t=0;0==n.a[t];t++);n.b=t}return n.b}function Bun(n){if(tJ(n),0==n.length)throw hv(new ZM("Zero length BigInteger"));XHn(this,n)}function Hun(n){this.i=n.gc(),this.i>0&&(this.g=this.aj(this.i+(this.i/8|0)+1),n.Qc(this.g))}function Uun(n,t,e){this.g=n,this.d=t,this.e=e,this.a=new Zm,RLn(this),hZ(),f$(this.a,null)}function Gun(n,t){t.q=n,n.d=e.Math.max(n.d,t.r),n.b+=t.d+(0==n.a.c.length?0:n.c),kD(n.a,t)}function qun(n,t){var e,i,r,c;return r=n.c,e=n.c+n.b,c=n.d,i=n.d+n.a,t.a>r&&t.a<e&&t.b>c&&t.b<i}function Xun(n,t){var e,i;for(i=Fkn(n,0);i.b!=i.d.c;)(e=uG(I6(i),8)).a+=t.a,e.b+=t.b;return n}function zun(n){var t,e;for(e=0,t=new Ww(n.b);t.a<t.c.c.length;)uG(N3(t),30).p=e,++e}function Vun(n){var t,e,i;return n.j==(KQn(),yRt)&&(e=$x(t=_$n(n),kRt),(i=$x(t,_Rt))||i&&e)}function Wun(n,t){var e;return jNn(new MO((e=ECn(n)).c,e.d),new MO(e.b,e.a),n.Mf(),t,n.ag())}function Qun(n,t){var e;vZ(e=uG(t,190),"x",n.i),vZ(e,"y",n.j),vZ(e,wet,n.g),vZ(e,bet,n.f)}function Jun(n,t){F$(t,85)?(uG(n.c,79).Gk(),hon(n,uG(t,85))):uG(n.c,79).Wb(t)}function Yun(n,t){var e,i;for(tJ(t),i=n.vc().Kc();i.Ob();)e=uG(i.Pb(),44),t.Yd(e.ld(),e.md())}function Zun(n,t){for(WW(t);n.Ob();)if(!shn(uG(n.Pb(),10)))return!1;return!0}function nsn(){var n;return Sut||(Sut=new ik,LN(n=new e9(""),(pS(),Eut)),won(Sut,n)),Sut}function tsn(n,t){return gen(new ld(n),new bd(t),new wd(t),new nn,Uhn(cT(Rut,1),p1n,108,0,[]))}function esn(){esn=E,iOt=new iO(q4n,0),rOt=new iO("POLAR_COORDINATE",1),eOt=new iO("ID",2)}function isn(){isn=E,Zjt=new vI("EQUALLY",0),nEt=new vI(o3n,1),tEt=new vI("NORTH_SOUTH",2)}function rsn(){rsn=E,Oht=new uF("debugSVG",(qx(),!1)),Aht=new uF("overlapsExisted",!0)}function csn(){csn=E,TNt=Abn((lAn(),Uhn(cT(SNt,1),p1n,285,0,[yNt,wNt,mNt,kNt,dNt,gNt,pNt,vNt])))}function asn(){asn=E,SFt=Abn((rDn(),Uhn(cT(PFt,1),p1n,245,0,[jFt,yFt,MFt,kFt,TFt,mFt,pFt,vFt])))}function osn(){osn=E,Kdt=Abn((h_n(),Uhn(cT(Xdt,1),p1n,276,0,[Odt,Ndt,Idt,xdt,Ldt,Adt,Ddt,$dt])))}function usn(){return OHn(),Uhn(cT(pPt,1),p1n,262,0,[fPt,rPt,uPt,sPt,oPt,iPt,hPt,tPt,aPt,cPt,ePt])}function ssn(n,t,e){var i,r;return r=uG(W_(n.d,t),17),i=uG(W_(n.b,e),17),r&&i?I7(n,r.a,i.a):null}function hsn(n,t){var e;return!!(e=QBn(aan(),n))&&(Myn(t,(XYn(),yDt),e),!0)}function fsn(n){return VK(),n.A.Hc((Qmn(),VRt))&&!n.B.Hc((oUn(),rKt))?xmn(n):null}function lsn(){this.a=uG(Jkn((cGn(),Tft)),17).a,this.c=uM(pK(Jkn(_ft))),this.b=uM(pK(Jkn(xft)))}function bsn(n){this.f=n,this.e=new a8(this.f.i),this.a=this.e,this.b=Phn(this),this.d=this.f.g}function wsn(n,t){_G.call(this,dBt,n,t),this.b=this,this.a=VKn(n.Dh(),ern(this.e.Dh(),this.c))}function dsn(n,t){var e,i;for(i=new Ww(t.b);i.a<i.c.c.length;)e=uG(N3(i),30),n.a[e.p]=OIn(e)}function gsn(n,t){var e;for(e=0;e<t.j.c.length;e++)uG(xen(n,e),21).Gc(uG(xen(t,e),16));return n}function psn(n,t,e,i){var r;e>(r=n.a.length)?e=r:s3(t,e+1),n.a=r1(n.a,0,t)+""+i+sQ(n.a,e)}function msn(n,t){n.a=Lgn(n.a,1),n.c=e.Math.min(n.c,t),n.b=e.Math.max(n.b,t),n.d=Lgn(n.d,t)}function vsn(n,t){return t<n.b.gc()?uG(n.b.Xb(t),10):t==n.b.gc()?n.a:uG(zq(n.e,t-n.b.gc()-1),10)}function ksn(n,t,e){return ugn(bD($kn(n),new MO(t.e.a,t.e.b)),bD($kn(n),new MO(e.e.a,e.e.b)))}function ysn(n,t,e){return n==(ean(),HEt)?new Cc:0!=uRn(t,1)?new rj(e.length):new ij(e.length)}function Msn(n,t){var e,i,r;if(null!=(e=n.th())&&n.wh())for(i=0,r=e.length;i<r;++i)e[i].dj(t)}function Tsn(n,t){var e,i,r;for(e=n.c.Xe(),r=t.Kc();r.Ob();)i=r.Pb(),n.a.Yd(e,i);return n.b.Kb(e)}function jsn(n,t){var e,i;for(i=HQ(e=n).e;i;){if((e=i)==t)return!0;i=HQ(e).e}return!1}function Esn(n){var t;return 0==(t=n.h)?n.l+n.m*w0n:t==l0n?n.l+n.m*w0n-d0n:n}function Ssn(n,t,e){var i,r;return(i=n.a.f[t.p])<(r=n.a.f[e.p])?-1:i==r?0:1}function Psn(n,t){var e,i;for(i=new Ww(t);i.a<i.c.c.length;)e=uG(N3(i),72),kD(n.d,e),TIn(n,e)}function Csn(n,t){t.Ug("Edge and layer constraint edge reversal",1),cQn(pBn(n)),t.Vg()}function Isn(n,t){var e,i;for(i=new DD(n);i.e!=i.i.gc();)kN(e=uG(Zkn(i),27),e.i+t.b,e.j+t.d)}function Osn(n){var t;null==n.d?(++n.e,n.f=0,Mwn(null)):(++n.e,t=n.d,n.d=null,n.f=0,Mwn(t))}function Asn(n){var t;if(n.a==n.b.a)throw hv(new Bv);return t=n.a,n.c=t,n.a=uG(nJ(n.a.e),227),t}function Lsn(n,t){var e;return 0!=(n.Db&t)?-1==(e=jTn(n,t))?n.Eb:Kcn(n.Eb)[e]:null}function Nsn(n,t){var e;return(e=new 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null==(t=n.a[n.c-1&n.a.length-1])?null:(n.c=n.c-1&n.a.length-1,uQ(n.a,n.c,null),t)}function hgn(n){var t,e,i;for(i=0,e=n.length,t=0;t<e;t++)32==n[t]||13==n[t]||10==n[t]||9==n[t]||(n[i++]=n[t]);return i}function fgn(n,t){var e,i,r,c,a;for(a=VKn(n.e.Dh(),t),c=0,e=uG(n.g,124),r=0;r<n.i;++r)i=e[r],a.am(i.Lk())&&++c;return c}function lgn(n,t,e){var i,r;for(r=F$(t,102)&&0!=(uG(t,19).Bb&P0n)?new yL(t,n):new Zsn(t,n),i=0;i<e;++i)_yn(r);return r}function bgn(n,t,e){var i;if(n.c)JCn(n.c,t,e);else for(i=new Ww(n.b);i.a<i.c.c.length;)bgn(uG(N3(i),163),t,e)}function wgn(n,t,e){var i,r;return i=uG(t.of(n.a),34),r=uG(e.of(n.a),34),null!=i&&null!=r?Dun(i,r):null!=i?-1:null!=r?1:0}function dgn(n,t){var e,i,r;for(tJ(t),e=!1,i=new Ww(n);i.a<i.c.c.length;)r=N3(i),t.Hc(r)&&(tW(i),e=!0);return e}function ggn(n){var t,e,i,r;return Mon(e=new nB(t=uG(Mj((r=(i=n.Rm).f)==Oat?i:r),9),uG(MF(t,t.length),9),0),n),e}function pgn(n){var t;return(t=uG(oIn(n,(jYn(),Byt)),88))==(xdn(),ZDt)?uM(pK(oIn(n,dyt)))>=1?YDt:QDt:t}function mgn(n){switch(uG(oIn(n,(jYn(),Vyt)),223).g){case 1:return new ic;case 3:return new uc;default:return new ec}}function vgn(n){if(n.c)vgn(n.c);else if(n.d)throw hv(new kM("Stream already terminated, can't be modified or used"))}function kgn(n,t,e){var i;return i=n.a.get(t),n.a.set(t,void 0===e?null:e),void 0===i?(++n.c,++n.b.g):++n.d,i}function ygn(n,t,e){var i,r;for(r=n.a.ec().Kc();r.Ob();)if(i=uG(r.Pb(),10),yhn(e,uG(zq(t,i.p),16)))return i;return null}function Mgn(n,t,e){var i;return i=0,t&&(fN(n.a)?i+=t.f.a/2:i+=t.f.b/2),e&&(fN(n.a)?i+=e.f.a/2:i+=e.f.b/2),i}function Tgn(n,t,e){var i;!(i=e)&&(i=xG(new fy,0)),i.Ug(K4n,2),zyn(n.b,t,i.eh(1)),Xzn(n,t,i.eh(1)),hJn(t,i.eh(1)),i.Vg()}function jgn(n,t,e){var i;return gj(),Scn(i=new ns,t),pcn(i,e),n&&ttn((!n.a&&(n.a=new MD(eFt,n,5)),n.a),i),i}function Egn(n){var t;return 0!=(64&n.Db)?vxn(n):((t=new fx(vxn(n))).a+=" (identifier: 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_L(n)&&_L(t)&&p0n<(e=n-t)&&e<d0n?e:Esn(Thn(_L(n)?Gsn(n):n,_L(t)?Gsn(t):t))}function Dgn(n,t){var e;return n.i||qLn(n),(e=uG(AJ(n.g,t),42))?new C2(n.j,uG(e.a,17).a,uG(e.b,17).a):(hZ(),hZ(),zot)}function xgn(n){return Mbn(),qx(),!!(upn(uG(n.a,86).j,uG(n.b,88))||0!=uG(n.a,86).d.e&&upn(uG(n.a,86).j,uG(n.b,88)))}function Rgn(n,t){return m_(t.b&&t.c?V3(t.b)+"->"+V3(t.c):"e_"+Hon(t),n.b&&n.c?V3(n.b)+"->"+V3(n.c):"e_"+Hon(n))}function Kgn(n,t){return m_(t.b&&t.c?V3(t.b)+"->"+V3(t.c):"e_"+Hon(t),n.b&&n.c?V3(n.b)+"->"+V3(n.c):"e_"+Hon(n))}function Fgn(n,t){return YN(),oan(T1n),e.Math.abs(n-t)<=T1n||n==t||isNaN(n)&&isNaN(t)?0:n<t?-1:n>t?1:KL(isNaN(n),isNaN(t))}function _gn(){_gn=E,fxt=new IO(Y2n,0),sxt=new IO("POLYLINE",1),uxt=new IO("ORTHOGONAL",2),hxt=new IO("SPLINES",3)}function Bgn(){Bgn=E,IOt=new aO("ASPECT_RATIO_DRIVEN",0),OOt=new aO("MAX_SCALE_DRIVEN",1),COt=new aO("AREA_DRIVEN",2)}function Hgn(n,t,e){try{Vfn(n,t,e)}catch(i){throw F$(i=Ehn(i),606)?hv(new x9(i)):hv(i)}return t}function 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Array.isArray(n)&&n.Tm===j?Ij(Tbn(n))+"@"+(Hon(n)>>>0).toString(16):n.toString()}function apn(n,t){return n.h==b0n&&0==n.m&&0==n.l?(t&&(Qat=p$(0,0,0)),LL((tin(),Zat))):(t&&(Qat=p$(n.l,n.m,n.h)),p$(0,0,0))}function opn(n,t){switch(t.g){case 2:return n.b;case 1:return n.c;case 4:return n.d;case 3:return n.a;default:return!1}}function upn(n,t){switch(t.g){case 2:return n.b;case 1:return n.c;case 4:return n.d;case 3:return n.a;default:return!1}}function spn(n,t,e,i){switch(t){case 3:return n.f;case 4:return n.g;case 5:return n.i;case 6:return n.j}return Xdn(n,t,e,i)}function hpn(n,t){if(t==n.d)return n.e;if(t==n.e)return n.d;throw hv(new vM("Node "+t+" not part of edge "+n))}function fpn(n,t){var e;if(F$(e=EKn(n.Dh(),t),102))return uG(e,19);throw hv(new vM(Gtt+t+"' is not a valid reference"))}function lpn(n,t,e,i){if(t<0)lRn(n,e,i);else{if(!e.rk())throw hv(new vM(Gtt+e.xe()+qtt));uG(e,69).wk().Ck(n,n.hi(),t,i)}}function bpn(n){var t;if(n.b){if(bpn(n.b),n.b.d!=n.c)throw hv(new Fv)}else 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t,e;if(2!=n.c.length)throw hv(new kM("Order only allowed for two paths."));u3(0,n.c.length),t=uG(n.c[0],18),u3(1,n.c.length),e=uG(n.c[1],18),t.d.i!=e.c.i&&(n.c.length=0,mv(n.c,e),mv(n.c,t))}function mNn(n,t,e){var i;for(vN(e,t.g,t.f),kN(e,t.i,t.j),i=0;i<(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a).i;i++)mNn(n,uG(zrn((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a),i),27),uG(zrn((!e.a&&(e.a=new fV(bFt,e,10,11)),e.a),i),27))}function vNn(n,t){var i,r,c,a;for(i=(a=uG(AJ(n.b,t),127)).a,c=uG(uG(Y9(n.r,t),21),87).Kc();c.Ob();)(r=uG(c.Pb(),117)).c&&(i.a=e.Math.max(i.a,rq(r.c)));if(i.a>0)switch(t.g){case 2:a.n.c=n.s;break;case 4:a.n.b=n.s}}function kNn(n,t){var e,i,r;return 0==(e=uG(oIn(t,(cGn(),$ft)),17).a-uG(oIn(n,$ft),17).a)?(i=YF(D$(uG(oIn(n,(mon(),zft)),8)),uG(oIn(n,Vft),8)),r=YF(D$(uG(oIn(t,zft),8)),uG(oIn(t,Vft),8)),ugn(i.a*i.b,r.a*r.b)):e}function yNn(n,t){var e,i,r;return 0==(e=uG(oIn(t,(QGn(),yCt)),17).a-uG(oIn(n,yCt),17).a)?(i=YF(D$(uG(oIn(n,(OQn(),vPt)),8)),uG(oIn(n,kPt),8)),r=YF(D$(uG(oIn(t,vPt),8)),uG(oIn(t,kPt),8)),ugn(i.a*i.b,r.a*r.b)):e}function MNn(n){var t,e;return(e=new WM).a+="e_",null!=(t=bhn(n))&&(e.a+=""+t),n.c&&n.d&&(JA((e.a+=" ",e),njn(n.c)),JA(QA((e.a+="[",e),n.c.i),"]"),JA((e.a+=Y4n,e),njn(n.d)),JA(QA((e.a+="[",e),n.d.i),"]")),e.a}function TNn(n){switch(n.g){case 0:return new Tl;case 1:return new jl;case 2:return new yl;case 3:return new kl;default:throw hv(new vM("No implementation is available for the layout phase "+(null!=n.f?n.f:""+n.g)))}}function jNn(n,t,i,r,c){var a;switch(a=0,c.g){case 1:a=e.Math.max(0,t.b+n.b-(i.b+r));break;case 3:a=e.Math.max(0,-n.b-r);break;case 2:a=e.Math.max(0,-n.a-r);break;case 4:a=e.Math.max(0,t.a+n.a-(i.a+r))}return a}function ENn(n,t,e){var i,r,c;if(e)for(c=((i=new Gz(e.a.length)).b-i.a)*i.c<0?(CP(),XHt):new xD(i);c.Ob();)r=v6(e,uG(c.Pb(),17).a),vet in r.a||ket in 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xA(u=fK(n,uG(r,58)))!==xA(r)?(o=uG(n.g[e],76),yD(n,e,WPn(n,e,c=R5(t,u))),uN(n.e)&&(kPn(a=VZ(n,9,c.Lk(),r,u,i,!1),new Ken(n.e,9,n.c,o,c,i,!1)),Cen(a)),u):r}function ANn(n,t,e){var i,r,c,a,o,u;for(i=uG(Y9(n.c,t),15),r=uG(Y9(n.c,e),15),c=i.fd(i.gc()),a=r.fd(r.gc());c.Sb()&&a.Sb();)if((o=uG(c.Ub(),17))!=(u=uG(a.Ub(),17)))return d$(o.a,u.a);return c.Ob()||a.Ob()?c.Ob()?1:-1:0}function LNn(n){var t,e,i,r,c,a;for(a=iR(n.c.length),r=new Ww(n);r.a<r.c.c.length;){for(i=uG(N3(r),10),c=new ek,e=new Fz(ix(Xgn(i).a.Kc(),new h));hDn(e);)(t=uG(N9(e),18)).c.i==t.d.i||FV(c,t.d.i);mv(a.c,c)}return a}function NNn(n,t){var e,i;try{return C3(n.a,t)}catch(r){if(F$(r=Ehn(r),33)){try{if(i=vUn(t,j1n,vZn),e=Mj(n.a),i>=0&&i<e.length)return e[i]}catch(c){if(!F$(c=Ehn(c),130))throw hv(c)}return null}throw hv(r)}}function $Nn(n,t){var e,i,r;if(r=iVn((gAn(),kBt),n.Dh(),t))return PP(),uG(r,69).xk()||(r=_3(Nen(kBt,r))),i=uG((e=n.Ih(r))>=0?n.Lh(e,!0,!0):YNn(n,r,!0),160),uG(i,220).Wl(t);throw hv(new 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r,c,a,o,u,s;for(r=0;r<t.o;r++)for(c=r-t.j+e,a=0;a<t.p;a++)if(u=c,s=o=a-t.k+i,u+=n.j,s+=n.k,u>=0&&s>=0&&u<n.o&&s<n.p&&(!iTn(t,r,a)&&_Mn(n,c,o)||eTn(t,r,a)&&!BMn(n,c,o)))return!0;return!1}function _Nn(n,t,e){var i,r,c,a;c=n.c,a=n.d,r=(Gfn(Uhn(cT(PNt,1),zZn,8,0,[c.i.n,c.n,c.a])).b+Gfn(Uhn(cT(PNt,1),zZn,8,0,[a.i.n,a.n,a.a])).b)/2,i=null,i=c.j==(KQn(),kRt)?new MO(t+c.i.c.c.a+e,r):new MO(t-e,r),sR(n.a,0,i)}function BNn(n){var t,e,i;for(t=null,e=OV(zcn(Uhn(cT(vat,1),EZn,20,0,[(!n.b&&(n.b=new f_(cFt,n,4,7)),n.b),(!n.c&&(n.c=new f_(cFt,n,5,8)),n.c)])));hDn(e);)if(i=lCn(uG(N9(e),84)),t){if(t!=i)return!1}else t=i;return!0}function HNn(n,t,e){var i;if(++n.j,t>=n.i)throw hv(new dM(zet+t+Vet+n.i));if(e>=n.i)throw hv(new dM(Wet+e+Vet+n.i));return i=n.g[e],t!=e&&(t<e?qGn(n.g,t,n.g,t+1,e-t):qGn(n.g,e+1,n.g,e,t-e),uQ(n.g,t,i),n.Pi(t,i,e),n.Ni()),i}function UNn(n,t,e){var i;if(i=uG(n.c.xc(t),16))return!!i.Fc(e)&&(++n.d,!0);if((i=n.ic(t)).Fc(e))return++n.d,n.c.zc(t,i),!0;throw hv(new x9("New Collection 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F$(t,153)&&F$(e,153)?(c=uG(t,153),a=uG(e,153),n.a[c.a][a.a]+n.a[a.a][c.a]):F$(t,250)&&F$(e,250)&&(i=uG(t,250),r=uG(e,250),i.a==r.a)?uG(oIn(r.a,(cGn(),$ft)),17).a:0}function WNn(n,t){var i,r,c,a,o,u,s,h;for(h=uM(pK(oIn(t,(jYn(),ITt)))),s=n[0].n.a+n[0].o.a+n[0].d.c+h,u=1;u<n.length;u++)r=n[u].n,c=n[u].o,i=n[u].d,(a=r.a-i.b-s)<0&&(r.a-=a),(o=t.f).a=e.Math.max(o.a,r.a+c.a),s=r.a+c.a+i.c+h}function QNn(n,t){var e,i,r,c,a,o;return i=uG(uG(cQ(n.g,t.a),42).a,68),r=uG(uG(cQ(n.g,t.b),42).a,68),(e=vzn(c=i.b,a=r.b))>=0?e:(o=NQ(YF(new MO(a.c+a.b/2,a.d+a.a/2),new MO(c.c+c.b/2,c.d+c.a/2))),-(oGn(c,a)-1)*o)}function JNn(n,t,e){var i;kS(new fX(null,(!e.a&&(e.a=new fV(oFt,e,6,6)),new h3(e.a,16))),new zO(n,t)),kS(new fX(null,(!e.n&&(e.n=new fV(lFt,e,1,7)),new h3(e.n,16))),new VO(n,t)),(i=uG(zDn(e,(XYn(),L$t)),75))&&fun(i,n,t)}function YNn(n,t,e){var i,r,c;if(c=iVn((gAn(),kBt),n.Dh(),t))return PP(),uG(c,69).xk()||(c=_3(Nen(kBt,c))),r=uG((i=n.Ih(c))>=0?n.Lh(i,!0,!0):YNn(n,c,!0),160),uG(r,220).Sl(t,e);throw 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TRn(n){var t,i,r,c,a,o,u,s,h,f;for(i=n.o,t=n.p,o=vZn,c=j1n,u=vZn,a=j1n,h=0;h<i;++h)for(f=0;f<t;++f)eTn(n,h,f)&&(o=e.Math.min(o,h),c=e.Math.max(c,h),u=e.Math.min(u,f),a=e.Math.max(a,f));return s=c-o+1,r=a-u+1,new vY(xwn(o),xwn(u),xwn(s),xwn(r))}function jRn(n,t){var e,i,r,c;for(MK((c=new N4(n,0)).b<c.d.gc()),e=uG(c.d.Xb(c.c=c.b++),148);c.b<c.d.gc();)MK(c.b<c.d.gc()),r=new wG((i=uG(c.d.Xb(c.c=c.b++),148)).c,e.d,t),MK(c.b>0),c.a.Xb(c.c=--c.b),pF(c,r),MK(c.b<c.d.gc()),c.d.Xb(c.c=c.b++),r.a=!1,e=i}function ERn(n){var t,e,i,r,c;for(i=uG(oIn(n,(GYn(),Ppt)),12),c=new Ww(n.j);c.a<c.c.c.length;){for(e=new Ww((r=uG(N3(c),12)).g);e.a<e.c.c.length;)return u2(uG(N3(e),18),i),r;for(t=new Ww(r.e);t.a<t.c.c.length;)return c2(uG(N3(t),18),i),r}return null}function SRn(n,t,e){var i,r,c,a,o;for(o=uG(ER(n.a,t),17).a,PPn(n.a,xwn(e?o+1:o-1),t),a=new XL,r=new Fz(ix((e?Xgn(t):qgn(t)).a.Kc(),new h));hDn(r);)i=uG(N9(r),18),c=e?i.d.i:i.c.i,xA(ER(n.a,c))===xA(ER(n.a,t))&&a.a.zc(c,a);return a}function PRn(n,t,i){var r,c;dwn(r=Bsn(i.q.getTime()),0)<0?(c=$1n-pz(Kmn(Men(r),$1n)))==$1n&&(c=0):c=pz(Kmn(r,$1n)),1==t?jQ(n,48+(c=e.Math.min((c+50)/100|0,9))&D1n):2==t?Fen(n,c=e.Math.min((c+5)/10|0,99),2):(Fen(n,c,3),t>3&&Fen(n,0,t-3))}function CRn(n){var t,e,i,r;return xA(oIn(n,(jYn(),rMt)))===xA((Own(),Ixt))?!n.e&&xA(oIn(n,Oyt))!==xA((ihn(),hpt)):(i=uG(oIn(n,Ayt),298),r=oM(gK(oIn(n,Ryt)))||xA(oIn(n,Kyt))===xA((jan(),Ydt)),t=uG(oIn(n,Iyt),17).a,e=n.a.c.length,!r&&i!=(ihn(),hpt)&&(0==t||t>e))}function IRn(n){var t,e;for(e=0;e<n.c.length&&!(bq((u3(e,n.c.length),uG(n.c[e],113)))>0);e++);if(e>0&&e<n.c.length-1)return e;for(t=0;t<n.c.length&&!(bq((u3(t,n.c.length),uG(n.c[t],113)))>0);t++);return t>0&&e<n.c.length-1?t:n.c.length/2|0}function ORn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=6&&t){if(eEn(n,t))throw hv(new vM(net+A$n(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?zjn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=kyn(t,n,6,i)),(i=ZK(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,6,t,t))}function ARn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=3&&t){if(eEn(n,t))throw hv(new vM(net+SXn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?sEn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=kyn(t,n,12,i)),(i=nF(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,3,t,t))}function LRn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=9&&t){if(eEn(n,t))throw hv(new vM(net+VBn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?Wjn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=kyn(t,n,9,i)),(i=tF(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,9,t,t))}function NRn(n){var t,e,i,r,c;if(i=bEn(n),null==(c=n.j)&&i)return n.Jk()?null:i.ik();if(F$(i,156)){if((e=i.jk())&&(r=e.wi())!=n.i){if((t=uG(i,156)).nk())try{n.g=r.ti(t,c)}catch(a){if(!F$(a=Ehn(a),82))throw hv(a);n.g=null}n.i=r}return n.g}return null}function $Rn(n){var t;return kD(t=new Zm,new ZP(new MO(n.c,n.d),new MO(n.c+n.b,n.d))),kD(t,new ZP(new MO(n.c,n.d),new MO(n.c,n.d+n.a))),kD(t,new ZP(new MO(n.c+n.b,n.d+n.a),new MO(n.c+n.b,n.d))),kD(t,new ZP(new MO(n.c+n.b,n.d+n.a),new MO(n.c,n.d+n.a))),t}function DRn(n){var t,e;if(null==n)return IZn;try{return cpn(n)}catch(i){if(F$(i=Ehn(i),103))return t=i,e=Ij(Tbn(n))+"@"+(bS(),(Avn(n)>>>0).toString(16)),wkn(ghn(),(pS(),"Exception during lenientFormat for "+e),t),"<"+e+" threw "+Ij(t.Rm)+">";throw hv(i)}}function xRn(n,t,e){var i,r;for(r=t.a.ec().Kc();r.Ob();)i=uG(r.Pb(),74),!uG(cQ(n.b,i),272)&&(R0(bIn(i))==R0(gIn(i))?QKn(n,i,e):bIn(i)==R0(gIn(i))?null==cQ(n.c,i)&&null!=cQ(n.b,gIn(i))&&bWn(n,i,e,!1):null==cQ(n.d,i)&&null!=cQ(n.b,bIn(i))&&bWn(n,i,e,!0))}function RRn(n,t){var e,i,r,c,a,o,u;for(r=n.Kc();r.Ob();)for(i=uG(r.Pb(),10),o2(o=new lOn,i),NLn(o,(KQn(),kRt)),kfn(o,(GYn(),fmt),(qx(),!0)),a=t.Kc();a.Ob();)c=uG(a.Pb(),10),o2(u=new lOn,c),NLn(u,_Rt),kfn(u,fmt,!0),kfn(e=new UZ,fmt,!0),c2(e,o),u2(e,u)}function KRn(n,t,e,i){var r,c,a,o;r=evn(n,t,e),c=evn(n,e,t),a=uG(cQ(n.c,t),118),o=uG(cQ(n.c,e),118),r<c?new A2((_7(),DSt),a,o,c-r):c<r?new A2((_7(),DSt),o,a,r-c):(0!=r||t.i&&e.i&&i[t.i.c][e.i.c])&&(new A2((_7(),DSt),a,o,0),new A2(DSt,o,a,0))}function FRn(n,t){var e,i,r,c,a,o;for(r=0,a=new Ww(t.a);a.a<a.c.c.length;)for(r+=(c=uG(N3(a),10)).o.b+c.d.a+c.d.d+n.e,i=new Fz(ix(qgn(c).a.Kc(),new h));hDn(i);)(e=uG(N9(i),18)).c.i.k==(zIn(),gbt)&&(r+=(o=uG(oIn(e.c.i,(GYn(),rmt)),10)).o.b+o.d.a+o.d.d);return r}function _Rn(){_Rn=E,xAt=new hO("CANDIDATE_POSITION_LAST_PLACED_RIGHT",0),DAt=new hO("CANDIDATE_POSITION_LAST_PLACED_BELOW",1),KAt=new hO("CANDIDATE_POSITION_WHOLE_DRAWING_RIGHT",2),RAt=new hO("CANDIDATE_POSITION_WHOLE_DRAWING_BELOW",3),FAt=new hO("WHOLE_DRAWING",4)}function BRn(n,t){if(F$(t,207))return Ldn(n,uG(t,27));if(F$(t,193))return tgn(n,uG(t,123));if(F$(t,366))return DY(n,uG(t,135));if(F$(t,326))return wqn(n,uG(t,74));if(t)return null;throw hv(new vM(Aet+vIn(new IM(Uhn(cT(dat,1),EZn,1,5,[t])))))}function HRn(n){var t,e,i,r,c,a,o;for(c=new lS,r=new Ww(n.d.a);r.a<r.c.c.length;)0==(i=uG(N3(r),125)).b.a.c.length&&s8(c,i,c.c.b,c.c);if(c.b>1)for(t=jx((e=new sk,++n.b,e),n.d),o=Fkn(c,0);o.b!=o.d.c;)a=uG(I6(o),125),RKn(xS(DS(RS($S(new uk,1),0),t),a))}function URn(n,t,e){var i,r,c,a;for(e.Ug("Breaking Point Removing",1),n.a=uG(oIn(t,(jYn(),Vyt)),223),r=new Ww(t.b);r.a<r.c.c.length;)for(a=new Ww(T3(uG(N3(r),30).a));a.a<a.c.c.length;)Lin(c=uG(N3(a),10))&&!(i=uG(oIn(c,(GYn(),Spt)),313)).d&&PQn(n,i);e.Vg()}function GRn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=11&&t){if(eEn(n,t))throw hv(new vM(net+zBn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?hEn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=kyn(t,n,10,i)),(i=n_(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,11,t,t))}function qRn(n){var t,e,i,r;for(i=new bsn(new Nw(n.b).a);i.b;)r=uG((e=von(i)).ld(),12),kfn(t=uG(e.md(),10),(GYn(),rmt),r),kfn(r,lmt,t),kfn(r,qpt,(qx(),!0)),NLn(r,uG(oIn(t,Fpt),64)),oIn(t,Fpt),kfn(r.i,(jYn(),JMt),($Pn(),oRt)),uG(oIn(HQ(r.i),Hpt),21).Fc((r_n(),rpt))}function XRn(n,t,e){var i,r,c;if(i=0,r=0,n.c)for(c=new Ww(n.d.i.j);c.a<c.c.c.length;)i+=uG(N3(c),12).e.c.length;else i=1;if(n.d)for(c=new Ww(n.c.i.j);c.a<c.c.c.length;)r+=uG(N3(c),12).g.c.length;else r=1;return(e+t)/2+.4*t0(gq(r-i))*(e-t)}function zRn(n){var t,e;if(gPn(),n.Hc((KQn(),FRt)))throw hv(new vM("Port sides must not contain UNDEFINED"));switch(n.gc()){case 1:return wdt;case 2:return t=n.Hc(kRt)&&n.Hc(_Rt),e=n.Hc(yRt)&&n.Hc(KRt),t||e?pdt:gdt;case 3:return ddt;case 4:return bdt;default:return null}}function VRn(n,t,e){return l_n(),(!qun(n,t)||!qun(n,e))&&(RWn(new MO(n.c,n.d),new MO(n.c+n.b,n.d),t,e)||RWn(new MO(n.c+n.b,n.d),new MO(n.c+n.b,n.d+n.a),t,e)||RWn(new MO(n.c+n.b,n.d+n.a),new MO(n.c,n.d+n.a),t,e)||RWn(new MO(n.c,n.d+n.a),new MO(n.c,n.d),t,e))}function WRn(n,t){var e,i,r,c;if(!n.dc())for(e=0,i=n.gc();e<i;++e)if(null==(c=mK(n.Xb(e)))?null==t:m_(c.substr(0,3),"!##")?null!=t&&(r=t.length,!m_(c.substr(c.length-r,r),t)||c.length!=t.length+3)&&!m_(lct,t):m_(c,bct)&&!m_(lct,t)||m_(c,t))return!0;return!1}function QRn(n,t,e,i){var r,c,a,o,u,s;for(a=n.j.c.length,u=Inn(_st,X2n,314,a,0,1),o=0;o<a;o++)(c=uG(zq(n.j,o),12)).p=o,u[o]=r$n(bDn(c),e,i);for(BKn(n,u,e,t,i),s=new Ym,r=0;r<u.length;r++)u[r]&&vJ(s,uG(zq(n.j,r),12),u[r]);s.f.c+s.i.c!=0&&(kfn(n,(GYn(),$pt),s),dOn(n,u))}function JRn(n,t){var e,i,r;for(t.Ug("Partition postprocessing",1),e=new Ww(n.b);e.a<e.c.c.length;)for(i=new Ww(uG(N3(e),30).a);i.a<i.c.c.length;)for(r=new Ww(uG(N3(i),10).j);r.a<r.c.c.length;)oM(gK(oIn(uG(N3(r),12),(GYn(),fmt))))&&tW(r);t.Vg()}function YRn(n,t,e){var i,r;for(i=new Ww(n.a.b);i.a<i.c.c.length;)if((r=z4(uG(N3(i),60)))&&r.k==(zIn(),lbt))switch(uG(oIn(r,(GYn(),Fpt)),64).g){case 4:r.n.a=t.a;break;case 2:r.n.a=e.a-(r.o.a+r.d.c);break;case 1:r.n.b=t.b;break;case 3:r.n.b=e.b-(r.o.b+r.d.a)}}function ZRn(n,t,e){var i,r,c;for(e.Ug("Processor determine the height for each level",1),n.a=0==t.b.b?1:t.b.b,r=null,i=Fkn(t.b,0);!r&&i.b!=i.d.c;)oM(gK(oIn(c=uG(I6(i),39),(OQn(),UPt))))&&(r=c);r&&dqn(n,n7(Uhn(cT(lPt,1),z9n,39,0,[r])),e,uG(oIn(t,(QGn(),cCt)),88)),e.Vg()}function nKn(n){var t,e,i,r;for(gj(),aKn(i=new Bk,n),e=new DD((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a));e.e!=e.i.gc();)t=uG(Zkn(e),27),GRn(r=new Bk,i),vN(r,t.g,t.f),Gan(r,t.k),kN(r,t.i,t.j),ttn((!i.a&&(i.a=new fV(bFt,i,10,11)),i.a),r),aKn(r,t);return i}function tKn(n,t,e){var i,r,c;if(!(r=uG(zDn(t,(lIn(),XNt)),17))&&(r=xwn(0)),!(c=uG(zDn(e,XNt),17))&&(c=xwn(0)),r.a>c.a)return-1;if(r.a<c.a)return 1;if(n.a){if(0!=(i=ugn(t.j,e.j)))return i;if(0!=(i=ugn(t.i,e.i)))return i}return ugn(t.g*t.f,e.g*e.f)}function eKn(n,t){var e,i,r,c,a,o,u,s,h,f;if(++n.e,t>(u=null==n.d?0:n.d.length)){for(h=n.d,n.d=Inn(IFt,qit,66,2*u+4,0,1),c=0;c<u;++c)if(s=h[c])for(i=s.g,f=s.i,o=0;o<f;++o)a=iF(n,(r=uG(i[o],136)).Bi()),!(e=n.d[a])&&(e=n.d[a]=n.dk()),e.Fc(r);return!0}return!1}function iKn(n,t,e){var i,r,c,a,o,u;if(c=(r=e).Lk(),EFn(n.e,c)){if(c.Si())for(i=uG(n.g,124),a=0;a<n.i;++a)if(udn(o=i[a],r)&&a!=t)throw hv(new vM(Xet))}else for(u=VKn(n.e.Dh(),c),i=uG(n.g,124),a=0;a<n.i;++a)if(o=i[a],u.am(o.Lk()))throw hv(new vM(dct));$dn(n,t,e)}function rKn(n,t){var e,i,r,c,a,o;for(e=uG(oIn(t,(GYn(),xpt)),21),a=uG(Y9((aYn(),Jlt),e),21),o=uG(Y9(rbt,e),21),c=a.Kc();c.Ob();)if(i=uG(c.Pb(),21),!uG(Y9(n.b,i),15).dc())return!1;for(r=o.Kc();r.Ob();)if(i=uG(r.Pb(),21),!uG(Y9(n.b,i),15).dc())return!1;return!0}function cKn(n,t){var e,i,r,c,a,o,u;if(1==n.a.c.length)return EOn(uG(zq(n.a,0),172),t);for(r=Swn(n),a=0,o=n.d,i=r,u=n.d,c=(o-i)/2+i;i+1<o;){for(a=0,e=new Ww(n.a);e.a<e.c.c.length;)a+=uXn(uG(N3(e),172),c,!1).a;a<t?(u=c,o=c):i=c,c=(o-i)/2+i}return u}function aKn(n,t){var e,i,r,c,a;if(!t)return n;if(F$(t,342))for(r=uG(t,342),!n.o&&(n.o=new ltn((tYn(),XKt),EFt,n,0)),c=n.o,i=r.gh().c.Kc();i.e!=i.i.gc();)a=(e=uG(i.Yj(),44)).md(),rSn(c,uG(e.ld(),149),a);else!n.o&&(n.o=new ltn((tYn(),XKt),EFt,n,0)),hon(n.o,t.nf());return n}function oKn(n){var t,e,i,r;return isNaN(n)?(tin(),not):n<-0x8000000000000000?(tin(),Yat):n>=0x8000000000000000?(tin(),Jat):(i=!1,n<0&&(i=!0,n=-n),e=0,n>=d0n&&(n-=(e=t0(n/d0n))*d0n),t=0,n>=w0n&&(n-=(t=t0(n/w0n))*w0n),r=p$(t0(n),t,e),i&&Yfn(r),r)}function uKn(n){var t,e,i,r,c;if(c=new Zm,Prn(n.b,new Ed(c)),n.b.c.length=0,0!=c.c.length){for(u3(0,c.c.length),t=uG(c.c[0],82),e=1,i=c.c.length;e<i;++e)u3(e,c.c.length),(r=uG(c.c[e],82))!=t&&OCn(t,r);if(F$(t,63))throw hv(uG(t,63));if(F$(t,295))throw hv(uG(t,295))}}function sKn(n,t){var e,i,r,c;for(e=!t||!n.u.Hc((eNn(),wRt)),c=0,r=new Ww(n.e.Xf());r.a<r.c.c.length;){if((i=uG(N3(r),852)).ag()==(KQn(),FRt))throw hv(new vM("Label and node size calculator can only be used with ports that have port sides assigned."));i.Qf(c++),wwn(n,i,e)}}function hKn(n){var t,e,i,r,c;for(e=new Ww(n.a.a);e.a<e.c.c.length;){for((t=uG(N3(e),316)).j=null,c=t.a.a.ec().Kc();c.Ob();)dL((i=uG(c.Pb(),60)).b),(!t.j||i.d.c<t.j.d.c)&&(t.j=i);for(r=t.a.a.ec().Kc();r.Ob();)(i=uG(r.Pb(),60)).b.a=i.d.c-t.j.d.c,i.b.b=i.d.d-t.j.d.d}return n}function fKn(n){var t,e,i,r,c;for(e=new Ww(n.a.a);e.a<e.c.c.length;){for((t=uG(N3(e),194)).f=null,c=t.a.a.ec().Kc();c.Ob();)dL((i=uG(c.Pb(),86)).e),(!t.f||i.g.c<t.f.g.c)&&(t.f=i);for(r=t.a.a.ec().Kc();r.Ob();)(i=uG(r.Pb(),86)).e.a=i.g.c-t.f.g.c,i.e.b=i.g.d-t.f.g.d}return n}function lKn(n){var t,i,r;return i=uG(n.a,17).a,r=uG(n.b,17).a,i<(t=e.Math.max(e.Math.abs(i),e.Math.abs(r)))&&r==-t?new WO(xwn(i+1),xwn(r)):i==t&&r<t?new WO(xwn(i),xwn(r+1)):i>=-t&&r==t?new WO(xwn(i-1),xwn(r)):new WO(xwn(i),xwn(r-1))}function bKn(){return zYn(),Uhn(cT(Vwt,1),p1n,81,0,[qbt,Hbt,Xbt,uwt,Pwt,lwt,Nwt,pwt,Ewt,iwt,ywt,gwt,Swt,Zbt,Dwt,xbt,kwt,Iwt,swt,Cwt,Rwt,Twt,Rbt,jwt,Kwt,Awt,xwt,hwt,Qbt,fwt,owt,$wt,_bt,Vbt,wwt,Fbt,dwt,cwt,nwt,mwt,ewt,Ubt,Bbt,awt,twt,vwt,Lwt,Kbt,Mwt,rwt,bwt,Jbt,Wbt,Owt,zbt,Ybt,Gbt])}function wKn(n,t,e){n.d=0,n.b=0,t.k==(zIn(),gbt)&&e.k==gbt&&uG(oIn(t,(GYn(),rmt)),10)==uG(oIn(e,rmt),10)&&(jen(t).j==(KQn(),yRt)?Rxn(n,t,e):Rxn(n,e,t)),t.k==gbt&&e.k==wbt?jen(t).j==(KQn(),yRt)?n.d=1:n.b=1:e.k==gbt&&t.k==wbt&&(jen(e).j==(KQn(),yRt)?n.b=1:n.d=1),GMn(n,t,e)}function dKn(n){var t,e,i,r,c;return c=gCn(n),null!=n.a&&ZG(c,"category",n.a),!pE(new Lw(n.d))&&(nrn(c,"knownOptions",i=new Ib),t=new Mm(i),z8(new Lw(n.d),t)),!pE(n.g)&&(nrn(c,"supportedFeatures",r=new Ib),e=new Tm(r),z8(n.g,e)),c}function gKn(n){var t,e,i,r,c,a,o,u;for(t=336,e=0,r=new UF(n.length),o=0,u=(a=n).length;o<u;++o)vgn(c=a[o]),GQ(c),i=c.a,kD(r.a,WW(i)),t&=i.yd(),e=cbn(e,i.zd());return uG(uG(bW(new fX(null,ICn(new h3((ZW(),Emn(r.a)),16),new g,t,e)),new jb(n)),687),848)}function pKn(n,t){var e;n.d&&(t.c!=n.e.c||iun(n.e.b,t.b))&&(kD(n.f,n.d),n.a=n.d.c+n.d.b,n.d=null,n.e=null),HL(t.b)?n.c=t:n.b=t,(t.b==(Xhn(),Flt)&&!t.a||t.b==_lt&&t.a||t.b==Blt&&t.a||t.b==Hlt&&!t.a)&&n.c&&n.b&&(e=new gY(n.a,n.c.d,t.c-n.a,n.b.d-n.c.d),n.d=e,n.e=t)}function mKn(n){var t;if(ly.call(this),this.i=new su,this.g=n,this.f=uG(n.e&&n.e(),9).length,0==this.f)throw hv(new vM("There must be at least one phase in the phase enumeration."));this.c=new nB(t=uG(Mj(this.g),9),uG(MF(t,t.length),9),0),this.a=new wJ,this.b=new Ym}function vKn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=7&&t){if(eEn(n,t))throw hv(new vM(net+zOn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?Vjn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=uG(t,54).Rh(n,1,iFt,i)),(i=dz(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,7,t,t))}function kKn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=3&&t){if(eEn(n,t))throw hv(new vM(net+fdn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?Yjn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=uG(t,54).Rh(n,0,uFt,i)),(i=gz(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,3,t,t))}function yKn(n,t){var e,i,r,c,a,o,u,s,h;return b_n(),t.d>n.d&&(o=n,n=t,t=o),t.d<63?KFn(n,t):(s=$9(n,a=(-2&n.d)<<4),h=$9(t,a),i=mXn(n,D9(s,a)),r=mXn(t,D9(h,a)),u=yKn(s,h),e=yKn(i,r),c=D9(c=Zzn(Zzn(c=yKn(mXn(s,i),mXn(r,h)),u),e),a),Zzn(Zzn(u=D9(u,a<<1),c),e))}function MKn(){MKn=E,rjt=new fI(v9n,0),tjt=new fI("LONGEST_PATH",1),ejt=new fI("LONGEST_PATH_SOURCE",2),YTt=new fI("COFFMAN_GRAHAM",3),njt=new fI(D6n,4),cjt=new fI("STRETCH_WIDTH",5),ijt=new fI("MIN_WIDTH",6),JTt=new fI("BF_MODEL_ORDER",7),ZTt=new fI("DF_MODEL_ORDER",8)}function TKn(n,t,e){var i,r,c,a,o;for(a=Vwn(n,e),o=Inn(pbt,e6n,10,t.length,0,1),i=0,c=a.Kc();c.Ob();)oM(gK(oIn(r=uG(c.Pb(),12),(GYn(),qpt))))&&(o[i++]=uG(oIn(r,lmt),10));if(i<t.length)throw hv(new kM("Expected "+t.length+" hierarchical ports, but found only "+i+"."));return o}function jKn(n,t){var e,i,r,c,a,o;if(!n.tb){for(!n.rb&&(n.rb=new vV(n,s_t,n)),o=new sS((c=n.rb).i),r=new DD(c);r.e!=r.i.gc();)i=uG(Zkn(r),142),(e=uG(null==(a=i.xe())?VAn(o.f,null,i):kgn(o.i,a,i),142))&&(null==a?VAn(o.f,null,e):kgn(o.i,a,e));n.tb=o}return uG(U1(n.tb,t),142)}function EKn(n,t){var e,i,r,c,a;if((null==n.i&&eqn(n),n.i).length,!n.p){for(a=new sS(1+(3*n.g.i/2|0)),r=new nR(n.g);r.e!=r.i.gc();)i=uG(nyn(r),179),(e=uG(null==(c=i.xe())?VAn(a.f,null,i):kgn(a.i,c,i),179))&&(null==c?VAn(a.f,null,e):kgn(a.i,c,e));n.p=a}return uG(U1(n.p,t),179)}function SKn(n,t,e,i,r){var c,a,o,u;for(Xvn(i+i1(e,e.ie()),r),mQ(t,Rpn(e)),(c=e.f)&&SKn(n,t,c,"Caused by: ",!1),null==e.k&&(e.k=Inn(xat,zZn,82,0,0,1)),o=0,u=(a=e.k).length;o<u;++o)SKn(n,t,a[o],"Suppressed: ",!1);null!=console.groupEnd&&console.groupEnd.call(console)}function PKn(n,t,e,i){var r,c,a,o;for(a=(o=t.e).length,c=t.q.ug(o,e?0:a-1,e),c|=wBn(n,o[e?0:a-1],e,i),r=e?1:a-2;e?r<a:r>=0;r+=e?1:-1)c|=t.c.lg(o,r,e,i&&!oM(gK(oIn(t.j,(GYn(),Bpt))))&&!oM(gK(oIn(t.j,(GYn(),mmt))))),c|=t.q.ug(o,r,e),c|=wBn(n,o[r],e,i);return FV(n.c,t),c}function CKn(n,t,e){var i,r,c,a,o,u,s,h;for(s=0,h=(u=s6(n.j)).length;s<h;++s){if(o=u[s],e==(can(),Vjt)||e==Qjt)for(c=0,a=(r=x4(o.g)).length;c<a;++c)wOn(t,i=r[c])&&pqn(i,!0);if(e==Wjt||e==Qjt)for(c=0,a=(r=x4(o.e)).length;c<a;++c)bOn(t,i=r[c])&&pqn(i,!0)}}function IKn(n){var t,e;switch(t=null,e=null,FSn(n).g){case 1:KQn(),t=kRt,e=_Rt;break;case 2:KQn(),t=KRt,e=yRt;break;case 3:KQn(),t=_Rt,e=kRt;break;case 4:KQn(),t=yRt,e=KRt}qb(n,uG(yx(Qz(uG(Y9(n.k,t),15).Oc(),Fdt)),113)),Gb(n,uG(yx(Wz(uG(Y9(n.k,e),15).Oc(),Fdt)),113))}function OKn(n){var t,e,i,r,c,a;if((r=uG(zq(n.j,0),12)).e.c.length+r.g.c.length==0)n.n.a=0;else{for(a=0,i=OV(zcn(Uhn(cT(vat,1),EZn,20,0,[new zd(r),new 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t,e;e=null,t=uG(zq(n.g,0),18);do{if(vR(e=t.d.i,(GYn(),nmt)))return uG(oIn(e,nmt),12).i;if(e.k!=(zIn(),dbt)&&hDn(new Fz(ix(Xgn(e).a.Kc(),new h))))t=uG(N9(new Fz(ix(Xgn(e).a.Kc(),new h))),18);else if(e.k!=dbt)return null}while(e&&e.k!=(zIn(),dbt));return e}function DKn(n,t){var e,i,r,c,a,o,u,s,h;for(o=t.j,a=t.g,u=uG(zq(o,o.c.length-1),113),u3(0,o.c.length),s=xTn(n,a,u,h=uG(o.c[0],113)),c=1;c<o.c.length;c++)u3(c-1,o.c.length),e=uG(o.c[c-1],113),u3(c,o.c.length),(i=xTn(n,a,e,r=uG(o.c[c],113)))>s&&(u=e,h=r,s=i);t.a=h,t.c=u}function xKn(n,t,e){var i,r,c,a,o,u,s;for(s=new Hj(new ip(n)),o=0,u=(a=Uhn(cT(Abt,1),i6n,12,0,[t,e])).length;o<u;++o)for(c=a[o],s.a.zc(c,(qx(),tot)),r=new w7(c.b);l$(r.a)||l$(r.b);)(i=uG(l$(r.a)?N3(r.a):N3(r.b),18)).c==i.d||_V(s,c==i.c?i.d:i.c);return WW(s),new Z_(s)}function RKn(n){if(!n.a.d||!n.a.e)throw hv(new kM((vK(Mst),Mst.k+" must have a source and target "+(vK(Tst),Tst.k+" specified."))));if(n.a.d==n.a.e)throw hv(new kM("Network simplex does not support 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i,r,c,a,o,u,s,h;if(n.e=t,n.f=uG(oIn(t,(mon(),Qft)),234),LCn(t),n.d=e.Math.max(16*t.e.c.length+t.c.c.length,256),!oM(gK(oIn(t,(cGn(),Mft)))))for(h=n.e.e.c.length,u=new Ww(t.e);u.a<u.c.c.length;)(s=uG(N3(u),153).d).a=BX(n.f)*h,s.b=BX(n.f)*h;for(i=t.b,a=new Ww(t.c);a.a<a.c.c.length;)if(c=uG(N3(a),289),(r=uG(oIn(c,Rft),17).a)>0){for(o=0;o<r;o++)kD(i,new $W(c));CNn(c)}}function mGn(n,t,e,i){var r,c,a,o,u,s,h,f,l;if(f=new QW(n.Zg()),nrn(t,Bet,f),e&&!n.Xg().a.dc())for(nrn(t,"logs",s=new Ib),o=0,l=new Gw(n.Xg().b.Kc());l.b.Ob();)h=new QW(mK(l.b.Pb())),uin(s,o),W5(s,o,h),++o;if(i&&nrn(t,"executionTime",new Pb(n.Wg())),!n.Yg().a.dc())for(a=new Ib,nrn(t,pet,a),o=0,c=new Gw(n.Yg().b.Kc());c.b.Ob();)r=uG(c.b.Pb(),871),u=new _y,uin(a,o),W5(a,o,u),mGn(r,u,e,i),++o}function vGn(){vGn=E,SP(),qHt=new Df,Uhn(cT(Y_t,2),zZn,381,0,[Uhn(cT(Y_t,1),uat,600,0,[new dE(Act)])]),Uhn(cT(Y_t,2),zZn,381,0,[Uhn(cT(Y_t,1),uat,600,0,[new dE(Lct)])]),Uhn(cT(Y_t,2),zZn,381,0,[Uhn(cT(Y_t,1),uat,600,0,[new dE(Nct)]),Uhn(cT(Y_t,1),uat,600,0,[new dE(Lct)])]),new PN("-1"),Uhn(cT(Y_t,2),zZn,381,0,[Uhn(cT(Y_t,1),uat,600,0,[new dE("\\c+")])]),new PN("0"),new PN("0"),new PN("1"),new PN("0"),new PN(Uct)}function kGn(n,t){var e,i,r,c,a,o,u,s;for(t.Ug("Hypernodes processing",1),i=new Ww(n.b);i.a<i.c.c.length;)for(a=new Ww(uG(N3(i),30).a);a.a<a.c.c.length;)if(oM(gK(oIn(c=uG(N3(a),10),(jYn(),uMt))))&&c.j.c.length<=2){for(s=0,u=0,e=0,r=0,o=new Ww(c.j);o.a<o.c.c.length;)switch(uG(N3(o),12).j.g){case 1:++s;break;case 2:++u;break;case 3:++e;break;case 4:++r}0==s&&0==e&&NJn(n,c,r<=u)}t.Vg()}function yGn(n,t,e,i,r){var c,a,o,u,s,h,f;for(a=new Ww(t);a.a<a.c.c.length;){if(u=(c=uG(N3(a),18)).c,e.a._b(u))l0(),s=USt;else{if(!i.a._b(u))throw hv(new vM("Source port must be in one of the port sets."));l0(),s=GSt}if(h=c.d,e.a._b(h))l0(),f=USt;else{if(!i.a._b(h))throw hv(new vM("Target port must be in one of the port sets."));l0(),f=GSt}o=new UAn(c,s,f),vJ(n.b,c,o),mv(r.c,o)}}function MGn(n){var t,e;return n.c&&n.c.Vh()&&(e=uG(n.c,54),n.c=uG(mwn(n,e),142),n.c!=e&&(0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,9,2,e,n.c)),F$(n.Cb,411)?n.Db>>16==-15&&n.Cb.Yh()&&Cen(new btn(n.Cb,9,13,e,n.c,Hyn(Aen(uG(n.Cb,62)),n))):F$(n.Cb,90)&&n.Db>>16==-23&&n.Cb.Yh()&&(F$(t=n.c,90)||(YYn(),t=x_t),F$(e,90)||(YYn(),e=x_t),Cen(new btn(n.Cb,9,10,e,t,Hyn(z5(uG(n.Cb,29)),n)))))),n.c}function TGn(n,t,e){var i,r,c,a,o,u,s,h;for(e.Ug("Hyperedge merging",1),CDn(n,t),o=new N4(t.b,0);o.b<o.d.gc();)if(MK(o.b<o.d.gc()),0!=(s=uG(o.d.Xb(o.c=o.b++),30).a).c.length)for(i=null,r=null,c=null,a=null,u=0;u<s.c.length;u++)u3(u,s.c.length),(r=(i=uG(s.c[u],10)).k)==(zIn(),wbt)&&a==wbt&&(h=jXn(i,c)).a&&(QFn(i,c,h.b,h.c),u3(u,s.c.length),nE(s.c,u,1),--u,i=c,r=a),c=i,a=r;e.Vg()}function jGn(n,t,e){var i,r,c,a,o,u,s;if(t==e)return!0;if(t=uDn(n,t),e=uDn(n,e),i=PMn(t)){if((u=PMn(e))!=i)return!!u&&(a=i.mk())==u.mk()&&null!=a;if(!t.d&&(t.d=new MD(g_t,t,1)),r=(c=t.d).i,!e.d&&(e.d=new MD(g_t,e,1)),r==(s=e.d).i)for(o=0;o<r;++o)if(!jGn(n,uG(zrn(c,o),89),uG(zrn(s,o),89)))return!1;return!0}return t.e==e.e}function EGn(n,t,e,i){var r,c,a,o,u,s,h,f;if(EFn(n.e,t)){for(f=VKn(n.e.Dh(),t),c=uG(n.g,124),h=null,u=-1,o=-1,r=0,s=0;s<n.i;++s)a=c[s],f.am(a.Lk())&&(r==e&&(u=s),r==i&&(o=s,h=a.md()),++r);if(-1==u)throw hv(new dM(zet+e+Vet+r));if(-1==o)throw hv(new dM(Wet+i+Vet+r));return zdn(n,u,o),uN(n.e)&&Yv(n,VZ(n,7,t,xwn(i),h,e,!0)),h}throw hv(new vM("The feature must be many-valued to support move"))}function SGn(n,t,e,i){var r,c,a,o,u;switch((u=new eN(t.n)).a+=t.o.a/2,u.b+=t.o.b/2,o=uM(pK(oIn(t,(jYn(),QMt)))),c=n.f,a=n.d,r=n.c,uG(oIn(t,(GYn(),Fpt)),64).g){case 1:u.a+=a.b+r.a-e/2,u.b=-i-o,t.n.b=-(a.d+o+r.b);break;case 2:u.a=c.a+a.b+a.c+o,u.b+=a.d+r.b-i/2,t.n.a=c.a+a.c+o-r.a;break;case 3:u.a+=a.b+r.a-e/2,u.b=c.b+a.d+a.a+o,t.n.b=c.b+a.a+o-r.b;break;case 4:u.a=-e-o,u.b+=a.d+r.b-i/2,t.n.a=-(a.b+o+r.a)}return u}function PGn(n){var t,e,i,r,c,a;return zsn(i=new 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Ww(n.e.a);a.a<a.c.c.length;)1==Ebn(c=uG(N3(a),125)).c.length&&s8(i,c,i.c.b,i.c);for(;0!=i.b;)0!=Ebn(c=uG(0==i.b?null:(MK(0!=i.b),Lrn(i,i.a.a)),125)).c.length&&(t=uG(zq(Ebn(c),0),218),e=c.g.a.c.length>0,o=hpn(t,c),Px(e?o.b:o.g,t),1==Ebn(o).c.length&&s8(i,o,i.c.b,i.c),r=new WO(c,t),A6(n.o,r),men(n.e.a,c))}function OGn(n,t){var i,r,c,a;return r=e.Math.abs(AV(n.b).a-AV(t.b).a),a=e.Math.abs(AV(n.b).b-AV(t.b).b),i=1,c=1,r>n.b.b/2+t.b.b/2&&(i=1-e.Math.min(e.Math.abs(n.b.c-(t.b.c+t.b.b)),e.Math.abs(n.b.c+n.b.b-t.b.c))/r),a>n.b.a/2+t.b.a/2&&(c=1-e.Math.min(e.Math.abs(n.b.d-(t.b.d+t.b.a)),e.Math.abs(n.b.d+n.b.a-t.b.d))/a),(1-e.Math.min(i,c))*e.Math.sqrt(r*r+a*a)}function AGn(n){var t,e,i;for(wQn(n,n.e,n.f,(l0(),USt),!0,n.c,n.i),wQn(n,n.e,n.f,USt,!1,n.c,n.i),wQn(n,n.e,n.f,GSt,!0,n.c,n.i),wQn(n,n.e,n.f,GSt,!1,n.c,n.i),yGn(n,n.c,n.e,n.f,n.i),e=new N4(n.i,0);e.b<e.d.gc();)for(MK(e.b<e.d.gc()),t=uG(e.d.Xb(e.c=e.b++),131),i=new N4(n.i,e.b);i.b<i.d.gc();)MK(i.b<i.d.gc()),nVn(t,uG(i.d.Xb(i.c=i.b++),131));XJn(n.i,uG(oIn(n.d,(GYn(),dmt)),234)),aWn(n.i)}function LGn(n,t){var e,i;if(null!=t)if(i=_Tn(n)){if(0==(1&i.i))return TP(),!(e=uG(cQ(_Ft,i),57))||e.fk(t);if(i==ZHt)return KA(t);if(i==YHt)return F$(t,17);if(i==iUt)return F$(t,161);if(i==tUt)return F$(t,222);if(i==JHt)return F$(t,180);if(i==eUt)return FA(t);if(i==rUt)return F$(t,191);if(i==nUt)return F$(t,168)}else if(F$(t,58))return n.dl(uG(t,58));return!1}function NGn(){var n,t,e,i,r,c,a,o,u;for(NGn=E,dHt=Inn(tUt,ret,28,255,15,1),gHt=Inn(JHt,N1n,28,64,15,1),t=0;t<255;t++)dHt[t]=-1;for(e=90;e>=65;e--)dHt[e]=e-65<<24>>24;for(i=122;i>=97;i--)dHt[i]=i-97+26<<24>>24;for(r=57;r>=48;r--)dHt[r]=r-48+52<<24>>24;for(dHt[43]=62,dHt[47]=63,c=0;c<=25;c++)gHt[c]=65+c&D1n;for(a=26,u=0;a<=51;++a,u++)gHt[a]=97+u&D1n;for(n=52,o=0;n<=61;++n,o++)gHt[n]=48+o&D1n;gHt[62]=43,gHt[63]=47}function $Gn(n,t){var 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c,a;if(c=Lgn(E3(t[0],L0n),E3(i[0],L0n)),n[0]=pz(c),c=$z(c,32),e>=r){for(a=1;a<r;a++)c=Lgn(c,Lgn(E3(t[a],L0n),E3(i[a],L0n))),n[a]=pz(c),c=$z(c,32);for(;a<e;a++)c=Lgn(c,E3(t[a],L0n)),n[a]=pz(c),c=$z(c,32)}else{for(a=1;a<e;a++)c=Lgn(c,Lgn(E3(t[a],L0n),E3(i[a],L0n))),n[a]=pz(c),c=$z(c,32);for(;a<r;a++)c=Lgn(c,E3(i[a],L0n)),n[a]=pz(c),c=$z(c,32)}0!=dwn(c,0)&&(n[a]=pz(c))}function FGn(n){var t,e,i,r,c,a;if(QYn(),4!=n.e&&5!=n.e)throw hv(new vM("Token#complementRanges(): must be RANGE: "+n.e));for(pxn(c=n),szn(c),i=c.b.length+2,0==c.b[0]&&(i-=2),(e=c.b[c.b.length-1])==zct&&(i-=2),(r=new K3(4)).b=Inn(YHt,W1n,28,i,15,1),a=0,c.b[0]>0&&(r.b[a++]=0,r.b[a++]=c.b[0]-1),t=1;t<c.b.length-2;t+=2)r.b[a++]=c.b[t]+1,r.b[a++]=c.b[t+1]-1;return e!=zct&&(r.b[a++]=e+1,r.b[a]=zct),r.a=!0,r}function _Gn(n,t){var e,i,r,c,a,o,u,s,h;for(t.Ug("Layer constraint edge reversal",1),a=new Ww(n.b);a.a<a.c.c.length;){for(c=uG(N3(a),30),h=-1,e=new Zm,s=D4(c.a),r=0;r<s.length;r++)i=uG(oIn(s[r],(GYn(),Xpt)),311),-1==h?i!=(Zen(),ppt)&&(h=r):i==(Zen(),ppt)&&(a2(s[r],null),$jn(s[r],h++,c)),i==(Zen(),dpt)&&mv(e.c,s[r]);for(u=new Ww(e);u.a<u.c.c.length;)a2(o=uG(N3(u),10),null),a2(o,c)}t.Vg()}function BGn(n,t,e){var i,r,c,a,o,u,s,h;if(0==(i=e.gc()))return!1;if(n.Pj())if(s=n.Qj(),PCn(n,t,e),a=1==i?n.Ij(3,null,e.Kc().Pb(),t,s):n.Ij(5,null,e,t,s),n.Mj()){for(o=i<100?null:new cj(i),c=t+i,r=t;r<c;++r)h=n.g[r],o=n.Nj(h,o),o=n.Uj(h,o);o?(o.nj(a),o.oj()):n.Jj(a)}else n.Jj(a);else if(PCn(n,t,e),n.Mj()){for(o=i<100?null:new cj(i),c=t+i,r=t;r<c;++r)u=n.g[r],o=n.Nj(u,o);o&&o.oj()}return!0}function HGn(n,t){var e,i,r,c,a,o,u,s;for(t.Ug("Hierarchical port dummy size processing",1),o=new Zm,s=new Zm,e=2*uM(pK(oIn(n,(jYn(),gTt)))),r=new Ww(n.b);r.a<r.c.c.length;){for(i=uG(N3(r),30),o.c.length=0,s.c.length=0,a=new Ww(i.a);a.a<a.c.c.length;)(c=uG(N3(a),10)).k==(zIn(),lbt)&&((u=uG(oIn(c,(GYn(),Fpt)),64))==(KQn(),yRt)?mv(o.c,c):u==KRt&&mv(s.c,c));x$n(o,!0,e),x$n(s,!1,e)}t.Vg()}function UGn(n,t,e,i){var r,c,a,o,u;for(a=new Ww(n.k);a.a<a.c.c.length;)r=uG(N3(a),132),i&&r.c!=(_7(),$St)||(u=r.b).g<0&&r.d>0&&(Qb(u,u.d-r.d),r.c==(_7(),$St)&&Vb(u,u.a-r.d),u.d<=0&&u.i>0&&s8(t,u,t.c.b,t.c));for(c=new Ww(n.f);c.a<c.c.c.length;)r=uG(N3(c),132),i&&r.c!=(_7(),$St)||(o=r.a).g<0&&r.d>0&&(Jb(o,o.i-r.d),r.c==(_7(),$St)&&Wb(o,o.b-r.d),o.i<=0&&o.d>0&&s8(e,o,e.c.b,e.c))}function GGn(n,t,e,i,r){var c,a,o,u,s,h,f,l,b;for(hZ(),f$(n,new Bu),a=oG(n),b=new Zm,l=new Zm,o=null,u=0;0!=a.b;)c=uG(0==a.b?null:(MK(0!=a.b),Lrn(a,a.a.a)),163),!o||EX(o)*jX(o)/2<EX(c)*jX(c)?(o=c,mv(b.c,c)):(u+=EX(c)*jX(c),mv(l.c,c),l.c.length>1&&(u>EX(o)*jX(o)/2||0==a.b)&&(f=new Jrn(l),h=EX(o)/jX(o),s=KJn(f,t,new Dk,e,i,r,h),JF(dL(f.e),s),o=f,mv(b.c,f),u=0,l.c.length=0));return Ohn(b,l),b}function qGn(n,t,e,i,r){var c,a,o,u,s,h,f;if(bS(),aW(n,"src"),aW(e,"dest"),f=Tbn(n),u=Tbn(e),yG(0!=(4&f.i),"srcType is not an array"),yG(0!=(4&u.i),"destType is not an array"),h=f.c,a=u.c,yG(0!=(1&h.i)?h==a:0==(1&a.i),"Array types don't match"),$fn(n,t,e,i,r),0==(1&h.i)&&f!=u)if(s=Kcn(n),c=Kcn(e),xA(n)===xA(e)&&t<i)for(t+=r,o=i+r;o-- >i;)uQ(c,o,s[--t]);else for(o=i+r;i<o;)uQ(c,i++,s[t++]);else b$n(n,t,e,i,r,!0)}function XGn(n,t){var e,i,r,c,a,o,u,s,h;t.Ug("Box layout",2),r=sM(pK(zDn(n,(lIn(),zNt)))),c=uG(zDn(n,GNt),107),e=oM(gK(zDn(n,FNt))),i=oM(gK(zDn(n,_Nt))),0===uG(zDn(n,RNt),320).g?(h=new Z_((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a)),hZ(),f$(h,new qp(i)),a=h,o=xAn(n),(null==(u=pK(zDn(n,xNt)))||(tJ(u),u<=0))&&(u=1.3),ZQn(n,(s=sJn(a,r,c,o.a,o.b,e,(tJ(u),u))).a,s.b,!1,!0)):Kzn(n,r,c,e),t.Vg()}function zGn(n,t,e,i,r){var c,a,o,u,s,h,f,l,b;for(f=iPn(n,e),o=0;o<t;o++){for(pF(r,e),l=new Zm,MK(i.b<i.d.gc()),b=uG(i.d.Xb(i.c=i.b++),418),s=f+o;s<n.b;s++)a=b,MK(i.b<i.d.gc()),kD(l,new pFn(a,b=uG(i.d.Xb(i.c=i.b++),418),e));for(h=f+o;h<n.b;h++)MK(i.b>0),i.a.Xb(i.c=--i.b),h>f+o&&LQ(i);for(c=new Ww(l);c.a<c.c.c.length;)pF(i,uG(N3(c),418));if(o<t-1)for(u=f+o;u<n.b;u++)MK(i.b>0),i.a.Xb(i.c=--i.b)}}function VGn(){var n,t,e,i,r,c;if(QYn(),WHt)return WHt;for(TXn(n=new K3(4),kJn(iat,!0)),lWn(n,kJn("M",!0)),lWn(n,kJn("C",!0)),c=new K3(4),i=0;i<11;i++)HFn(c,i,i);return TXn(t=new K3(4),kJn("M",!0)),HFn(t,4448,4607),HFn(t,65438,65439),kzn(r=new QN(2),n),kzn(r,OHt),(e=new QN(2)).Jm(CX(c,kJn("L",!0))),e.Jm(t),e=new n8(3,e),e=new eW(r,e),WHt=e}function WGn(n,t){var e,i,r,c,a,o,u,s;for(e=new RegExp(t,"g"),u=Inn($ot,zZn,2,0,6,1),i=0,s=n,c=null;;){if(null==(o=e.exec(s))||""==s){u[i]=s;break}a=o.index,u[i]=(Knn(0,a,s.length),s.substr(0,a)),s=r1(s,a+o[0].length,s.length),e.lastIndex=0,c==s&&(u[i]=(Knn(0,1,s.length),s.substr(0,1)),s3(1,s.length+1),s=s.substr(1)),c=s,++i}if(n.length>0){for(r=u.length;r>0&&""==u[r-1];)--r;r<u.length&&(u.length=r)}return u}function QGn(){QGn=E,mCt=new CN(20),pCt=new _N((XYn(),W$t),mCt),ECt=new _N(DDt,20),jCt=new _N(IDt,3),eCt=new _N(c$t,r4n),yCt=new _N(vDt,xwn(1)),TCt=new _N(TDt,(qx(),!0)),rCt=w$t,xdn(),cCt=new _N(d$t,aCt=ZDt),sCt=O$t,hCt=A$t,lCt=_$t,bCt=H$t,wCt=U$t,dCt=q$t,fCt=K$t,gCt=V$t,vCt=bDt,eDn(),LCt=nCt,MCt=JPt,CCt=HDt,OCt=XDt,PCt=BDt,SCt=_Dt,Iwn(),new _N(UDt,ICt=fKt),kCt=QPt,uCt=VPt,ACt=ZPt,iCt=XPt,oCt=zPt}function JGn(n){var t,e;if(!hsn(t=mK(zDn(n,(XYn(),e$t))),n)&&!vnn(n,yDt)&&(0!=(!n.a&&(n.a=new fV(bFt,n,10,11)),n.a).i||oM(gK(zDn(n,C$t))))){if(null!=t&&0!=KAn(t).length)throw XWn(n,e=JA(JA(new lx("Layout algorithm '"),t),"' not found for ")),hv(new jM(e.a));if(!hsn(S0n,n))throw XWn(n,e=JA(JA(new lx("Unable to load default layout algorithm "),S0n)," for unconfigured node ")),hv(new jM(e.a))}}function YGn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w;if(i=n.i,t=n.n,0==n.b)for(w=i.c+t.b,b=i.b-t.b-t.c,s=0,f=(o=n.a).length;s<f;++s)qX(c=o[s],w,b);else r=LMn(n,!1),qX(n.a[0],i.c+t.b,r[0]),qX(n.a[2],i.c+i.b-t.c-r[2],r[2]),l=i.b-t.b-t.c,r[0]>0&&(l-=r[0]+n.c,r[0]+=n.c),r[2]>0&&(l-=r[2]+n.c),r[1]=e.Math.max(r[1],l),qX(n.a[1],i.c+t.b+r[0]-(r[1]-l)/2,r[1]);for(u=0,h=(a=n.a).length;u<h;++u)F$(c=a[u],336)&&uG(c,336).lf()}function ZGn(n){var t,e,i,r,c,a,o,u,s,h,f;for((f=new ra).d=0,a=new Ww(n.b);a.a<a.c.c.length;)c=uG(N3(a),30),f.d+=c.a.c.length;for(i=0,r=0,f.a=Inn(YHt,W1n,28,n.b.c.length,15,1),s=0,h=0,f.e=Inn(YHt,W1n,28,f.d,15,1),e=new Ww(n.b);e.a<e.c.c.length;)for((t=uG(N3(e),30)).p=i++,f.a[t.p]=r++,h=0,u=new Ww(t.a);u.a<u.c.c.length;)(o=uG(N3(u),10)).p=s++,f.e[o.p]=h++;return f.c=new gp(f),f.b=iR(f.d),OUn(f,n),f.f=iR(f.d),AUn(f,n),f}function nqn(n,t){var i,r,c;for(c=uG(zq(n.n,n.n.c.length-1),209).d,n.p=e.Math.min(n.p,t.g),n.r=e.Math.max(n.r,c),n.g=e.Math.max(n.g,t.g+(1==n.b.c.length?0:n.i)),n.o=e.Math.min(n.o,t.f),n.e+=t.f+(1==n.b.c.length?0:n.i),n.f=e.Math.max(n.f,t.f),r=n.n.c.length>0?(n.n.c.length-1)*n.i:0,i=new Ww(n.n);i.a<i.c.c.length;)r+=uG(N3(i),209).a;n.d=r,n.a=n.e/n.b.c.length-n.i*((n.b.c.length-1)/n.b.c.length),ijn(n.j)}function tqn(n,t){var e,i,r,c,a,o,u,s,h;if(null==(s=gK(oIn(t,(cGn(),Kft))))||(tJ(s),s)){for(h=Inn(ZHt,B2n,28,t.e.c.length,16,1),a=d$n(t),r=new lS,u=new Ww(t.e);u.a<u.c.c.length;)(e=Gxn(n,uG(N3(u),153),null,null,h,a))&&(zsn(e,t),s8(r,e,r.c.b,r.c));if(r.b>1)for(i=Fkn(r,0);i.b!=i.d.c;)for(c=0,o=new Ww((e=uG(I6(i),235)).e);o.a<o.c.c.length;)uG(N3(o),153).a=c++;return r}return n7(Uhn(cT(mft,1),U3n,235,0,[t]))}function eqn(n){var t,e,i,r,c;if(!n.g){if(c=new ys,null==(t=V_t).a.zc(n,t)){for(e=new DD(n1(n));e.e!=e.i.gc();)CW(c,eqn(uG(Zkn(e),29)));t.a.Bc(n),t.a.gc()}for(i=c.i,!n.s&&(n.s=new fV(o_t,n,21,17)),r=new DD(n.s);r.e!=r.i.gc();++i)hw(uG(Zkn(r),461),i);CW(c,(!n.s&&(n.s=new fV(o_t,n,21,17)),n.s)),lbn(c),n.g=new Afn(n,c),n.i=uG(c.g,254),null==n.i&&(n.i=Q_t),n.p=null,y9(n).b&=-5}return n.g}function iqn(n,t){var e,i,r,c,a,o,u,s,h;if((e=t.qi(n.a))&&null!=(u=mK(Lmn((!e.b&&(e.b=new XR((YYn(),H_t),wBt,e)),e.b),"memberTypes")))){for(s=new Zm,a=0,o=(c=WGn(u,"\\w")).length;a<o;++a)F$(h=-1==(i=(r=c[a]).lastIndexOf("#"))?hK(n,t.jk(),r):0==i?gtn(n,null,(s3(1,r.length+1),r.substr(1))):gtn(n,(Knn(0,i,r.length),r.substr(0,i)),(s3(i+1,r.length+1),r.substr(i+1))),156)&&kD(s,uG(h,156));return s}return hZ(),hZ(),zot}function rqn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w;if(r=n.i,i=n.n,0==n.b)t=AMn(n,!1),XX(n.a[0],r.d+i.d,t[0]),XX(n.a[2],r.d+r.a-i.a-t[2],t[2]),l=r.a-i.d-i.a,t[0]>0&&(t[0]+=n.c,l-=t[0]),t[2]>0&&(l-=t[2]+n.c),t[1]=e.Math.max(t[1],l),XX(n.a[1],r.d+i.d+t[0]-(t[1]-l)/2,t[1]);else for(w=r.d+i.d,b=r.a-i.d-i.a,s=0,f=(o=n.a).length;s<f;++s)XX(c=o[s],w,b);for(u=0,h=(a=n.a).length;u<h;++u)F$(c=a[u],336)&&uG(c,336).mf()}function cqn(n){var t,e,i,r,c,a,o,u,s;for(s=Inn(YHt,W1n,28,n.b.c.length+1,15,1),u=new ek,i=0,c=new Ww(n.b);c.a<c.c.c.length;){for(r=uG(N3(c),30),s[i++]=u.a.gc(),o=new Ww(r.a);o.a<o.c.c.length;)for(e=new Fz(ix(Xgn(uG(N3(o),10)).a.Kc(),new h));hDn(e);)t=uG(N9(e),18),u.a.zc(t,u);for(a=new Ww(r.a);a.a<a.c.c.length;)for(e=new Fz(ix(qgn(uG(N3(a),10)).a.Kc(),new h));hDn(e);)t=uG(N9(e),18),u.a.Bc(t)}return s}function aqn(n,t,e,i){var r,c,a,o,u;if(u=VKn(n.e.Dh(),t),r=uG(n.g,124),PP(),uG(t,69).xk()){for(a=0;a<n.i;++a)if(c=r[a],u.am(c.Lk())&&udn(c,e))return!0}else if(null!=e){for(o=0;o<n.i;++o)if(c=r[o],u.am(c.Lk())&&udn(e,c.md()))return!0;if(i)for(a=0;a<n.i;++a)if(c=r[a],u.am(c.Lk())&&xA(e)===xA(fK(n,uG(c.md(),58))))return!0}else for(a=0;a<n.i;++a)if(c=r[a],u.am(c.Lk())&&null==c.md())return!1;return!1}function oqn(n,t){var e,i,r,c,a,o;if((e=t.qi(n.a))&&null!=(o=mK(Lmn((!e.b&&(e.b=new XR((YYn(),H_t),wBt,e)),e.b),_et))))switch(r=ax(o,$Cn(35)),i=t.qk(),-1==r?(a=jz(n,Hrn(i)),c=o):0==r?(a=null,s3(1,o.length+1),c=o.substr(1)):(Knn(0,r,o.length),a=o.substr(0,r),s3(r+1,o.length+1),c=o.substr(r+1)),sJ(Nen(n,t))){case 2:case 3:return Xfn(n,i,a,c);case 0:case 4:case 5:case 6:return zfn(n,i,a,c)}return null}function uqn(n,t,i,r){var c,a,o,u;for(u=i,o=new Ww(t.a);o.a<o.c.c.length;){if(a=uG(N3(o),225),c=uG(a.b,68),Fgn(n.b.c,c.b.c+c.b.b)<=0&&Fgn(c.b.c,n.b.c+n.b.b)<=0&&Fgn(n.b.d,c.b.d+c.b.a)<=0&&Fgn(c.b.d,n.b.d+n.b.a)<=0){if(0==Fgn(c.b.c,n.b.c+n.b.b)&&r.a<0||0==Fgn(c.b.c+c.b.b,n.b.c)&&r.a>0||0==Fgn(c.b.d,n.b.d+n.b.a)&&r.b<0||0==Fgn(c.b.d+c.b.a,n.b.d)&&r.b>0){u=0;break}}else u=e.Math.min(u,LLn(n,c,r));u=e.Math.min(u,uqn(n,a,u,r))}return u}function sqn(n,t){var e,i,r,c,a,o;if(n.b<2)throw hv(new vM("The vector chain must contain at least a source and a target point."));for(MK(0!=n.b),MN(t,(i=uG(n.a.a.c,8)).a,i.b),o=new Zx((!t.a&&(t.a=new MD(eFt,t,5)),t.a)),c=Fkn(n,1);c.a<n.b-1;)a=uG(I6(c),8),o.e!=o.i.gc()?e=uG(Zkn(o),377):(gj(),Smn(o,e=new ns)),mN(e,a.a,a.b);for(;o.e!=o.i.gc();)Zkn(o),$Sn(o);MK(0!=n.b),yN(t,(r=uG(n.c.b.c,8)).a,r.b)}function hqn(n,t,e,i){var r,c,a,o,u,s;if(s=VKn(n.e.Dh(),t),a=uG(n.g,124),EFn(n.e,t)){if(t.Si()&&(c=Dqn(n,t,i,F$(t,102)&&0!=(uG(t,19).Bb&P0n)))>=0&&c!=e)throw hv(new vM(Xet));for(r=0,u=0;u<n.i;++u)if(o=a[u],s.am(o.Lk())){if(r==e)return uG(Uyn(n,u,(PP(),uG(t,69).xk()?uG(i,76):R5(t,i))),76);++r}throw hv(new dM(Hit+e+Vet+r))}for(u=0;u<n.i;++u)if(o=a[u],s.am(o.Lk()))return PP(),uG(t,69).xk()?o:o.md();return null}function fqn(n,t){var e,i,r,c,a,o,u,s;for(e=0,i=new Ww((u3(0,n.c.length),uG(n.c[0],105)).g.b.j);i.a<i.c.c.length;)uG(N3(i),12).p=e++;for(t==(KQn(),yRt)?f$(n,new nc):f$(n,new tc),a=0,s=n.c.length-1;a<s;)u3(a,n.c.length),c=uG(n.c[a],105),u3(s,n.c.length),u=uG(n.c[s],105),r=t==yRt?c.c:c.a,o=t==yRt?u.a:u.c,hV(c,t,(qhn(),sdt),r),hV(u,t,udt,o),++a,--s;a==s&&hV((u3(a,n.c.length),uG(n.c[a],105)),t,(qhn(),odt),null)}function lqn(n,t,e,i){var r,c,a,o,u,s;for(a=new SVn(n,t,e),u=new N4(i,0),r=!1;u.b<u.d.gc();)MK(u.b<u.d.gc()),(o=uG(u.d.Xb(u.c=u.b++),239))==t||o==e?LQ(u):!r&&uM(oD(o.g,o.d[0]).a)>uM(oD(a.g,a.d[0]).a)?(MK(u.b>0),u.a.Xb(u.c=--u.b),pF(u,a),r=!0):o.e&&o.e.gc()>0&&(c=(!o.e&&(o.e=new Zm),o.e).Mc(t),s=(!o.e&&(o.e=new Zm),o.e).Mc(e),(c||s)&&((!o.e&&(o.e=new Zm),o.e).Fc(a),++a.c));r||mv(i.c,a)}function bqn(n,t,e){var i,r,c,a,o,u,s,h,f,l;return h=n.a.i+n.a.g/2,f=n.a.i+n.a.g/2,a=new MO(t.i+t.g/2,t.j+t.f/2),(u=uG(zDn(t,(XYn(),mDt)),8)).a=u.a+h,u.b=u.b+f,r=(a.b-u.b)/(a.a-u.a),i=a.b-r*a.a,o=new MO(e.i+e.g/2,e.j+e.f/2),(s=uG(zDn(e,mDt),8)).a=s.a+h,s.b=s.b+f,c=(o.b-s.b)/(o.a-s.a),l=(i-(o.b-c*o.a))/(c-r),!(u.a<l&&a.a<l||l<u.a&&l<a.a||s.a<l&&o.a<l||l<s.a&&l<o.a)}function wqn(n,t){var e,i,r,c,a,o;if(!(a=uG(cQ(n.c,t),190)))throw hv(new SM("Edge did not exist in input."));return i=jvn(a),!pE((!t.a&&(t.a=new fV(oFt,t,6,6)),t.a))&&(e=new DU(n,i,o=new Ib),NA((!t.a&&(t.a=new fV(oFt,t,6,6)),t.a),e),nrn(a,yet,o)),vnn(t,(XYn(),L$t))&&!(!(r=uG(zDn(t,L$t),75))||FQ(r))&&(z8(r,new gm(c=new Ib)),nrn(a,"junctionPoints",c)),ZG(a,"container",s0(t).k),null}function dqn(n,t,e,i){var r,c,a,o,u,s;if(!P6(t)){if((s=e.eh((F$(t,16)?uG(t,16).gc():x5(t.Kc()))/n.a|0)).Ug(V9n,1),u=new Ga,o=0,i==(xdn(),JDt)||i==YDt)for(a=t.Kc();a.Ob();)r=uG(a.Pb(),39),u=zcn(Uhn(cT(vat,1),EZn,20,0,[u,new Mp(r)])),o<r.f.a&&(o=r.f.a);else for(a=t.Kc();a.Ob();)r=uG(a.Pb(),39),u=zcn(Uhn(cT(vat,1),EZn,20,0,[u,new Mp(r)])),o<r.f.b&&(o=r.f.b);for(c=t.Kc();c.Ob();)kfn(r=uG(c.Pb(),39),(OQn(),NPt),o);s.Vg(),dqn(n,u,e,i)}}function gqn(n,t,e){var i,r,c,a,o,u;this.a=n,this.b=t,this.c=e,this.e=n7(Uhn(cT(But,1),EZn,177,0,[new ZP(n,t),new ZP(t,e),new ZP(e,n)])),this.f=n7(Uhn(cT(PNt,1),zZn,8,0,[n,t,e])),this.d=(i=YF(D$(this.b),this.a),r=YF(D$(this.c),this.a),c=YF(D$(this.c),this.b),a=i.a*(this.a.a+this.b.a)+i.b*(this.a.b+this.b.b),o=r.a*(this.a.a+this.c.a)+r.b*(this.a.b+this.c.b),u=2*(i.a*c.b-i.b*c.a),new MO((r.b*a-i.b*o)/u,(i.a*o-r.a*a)/u))}function pqn(n,t){var e,i,r,c,a,o;for(c=n.c,a=n.d,c2(n,null),u2(n,null),t&&oM(gK(oIn(a,(GYn(),Gpt))))?c2(n,zUn(a.i,(can(),Wjt),(KQn(),kRt))):c2(n,a),t&&oM(gK(oIn(c,(GYn(),hmt))))?u2(n,zUn(c.i,(can(),Vjt),(KQn(),_Rt))):u2(n,c),i=new Ww(n.b);i.a<i.c.c.length;)e=uG(N3(i),72),(r=uG(oIn(e,(jYn(),Xyt)),278))==(Zrn(),cxt)?kfn(e,Xyt,rxt):r==rxt&&kfn(e,Xyt,cxt);o=oM(gK(oIn(n,(GYn(),pmt)))),kfn(n,pmt,(qx(),!o)),n.a=fln(n.a)}function mqn(n,t){var e,i,r,c;return e=$kn(uG(oIn(t,(QGn(),cCt)),88)),0==n.b.b?null:(c=uG(l8(YJ(new fX(null,new h3(n.b,16)),new Ia),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[(ybn(),Iut)]))),15),i=pK(yx(Wz(YJ((r=uG(l8(JJ(new fX(null,new h3(t.b,16)),new mp(c)),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[Iut]))),15)).Oc(),new vp(e)),(sZ(),sZ(),Yot)))),uG(yx(lln(JJ(r.Oc(),new UI(e,i)))),39))}function vqn(n,t){var i,r,c,a,o,u,s,h,f,l,b;i=jx(new sk,n.f),u=n.i[t.c.i.p],l=n.i[t.d.i.p],o=t.c,f=t.d,a=o.a.b,h=f.a.b,u.b||(a+=o.n.b),l.b||(h+=f.n.b),s=t0(e.Math.max(0,a-h)),c=t0(e.Math.max(0,h-a)),b=e.Math.max(1,uG(oIn(t,(jYn(),uTt)),17).a)*B5(t.c.i.k,t.d.i.k),r=new PI(RKn(xS(DS($S(RS(new uk,b),c),i),uG(cQ(n.k,t.c),125))),RKn(xS(DS($S(RS(new uk,b),s),i),uG(cQ(n.k,t.d),125)))),n.c[t.p]=r}function kqn(n,t,i){var r,c,a,o,u;for(r=0,a=new DD((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a));a.e!=a.i.gc();)o="",0==(!(c=uG(Zkn(a),27)).n&&(c.n=new fV(lFt,c,1,7)),c.n).i||(o=uG(zrn((!c.n&&(c.n=new fV(lFt,c,1,7)),c.n),0),135).a),zsn(u=new E$(o),c),kfn(u,(mon(),Wft),c),u.a=r++,u.d.a=c.i+c.g/2,u.d.b=c.j+c.f/2,u.e.a=e.Math.max(c.g,1),u.e.b=e.Math.max(c.f,1),kD(t.e,u),VAn(i.f,c,u),uG(zDn(c,(cGn(),Lft)),101),$Pn()}function yqn(n,t){var e,i,r,c,a;t.Ug("Layer constraint postprocessing",1),0!=(a=n.b).c.length&&(u3(0,a.c.length),qHn(n,uG(a.c[0],30),uG(zq(a,a.c.length-1),30),e=new bQ(n),r=new bQ(n)),0==e.a.c.length||(o3(0,a.c.length),pC(a.c,0,e)),0==r.a.c.length||mv(a.c,r)),vR(n,(GYn(),Upt))&&(s_n(n,i=new bQ(n),c=new bQ(n)),0==i.a.c.length||(o3(0,a.c.length),pC(a.c,0,i)),0==c.a.c.length||mv(a.c,c)),t.Vg()}function Mqn(n){var t,e;switch(n){case 91:case 93:case 45:case 94:case 44:case 92:e="\\"+String.fromCharCode(n&D1n);break;case 12:e="\\f";break;case 10:e="\\n";break;case 13:e="\\r";break;case 9:e="\\t";break;case 27:e="\\e";break;default:e=n<32?"\\x"+r1(t="0"+(n>>>0).toString(16),t.length-2,t.length):n>=P0n?"\\v"+r1(t="0"+(n>>>0).toString(16),t.length-6,t.length):""+String.fromCharCode(n&D1n)}return e}function Tqn(n){var t,e,i;if(sN(uG(oIn(n,(jYn(),JMt)),101)))for(e=new Ww(n.j);e.a<e.c.c.length;)(t=uG(N3(e),12)).j==(KQn(),FRt)&&((i=uG(oIn(t,(GYn(),lmt)),10))?NLn(t,uG(oIn(i,Fpt),64)):t.e.c.length-t.g.c.length<0?NLn(t,kRt):NLn(t,_Rt));else{for(e=new Ww(n.j);e.a<e.c.c.length;)t=uG(N3(e),12),(i=uG(oIn(t,(GYn(),lmt)),10))?NLn(t,uG(oIn(i,Fpt),64)):t.e.c.length-t.g.c.length<0?NLn(t,(KQn(),kRt)):NLn(t,(KQn(),_Rt));kfn(n,JMt,($Pn(),oRt))}}function jqn(n){var t,e,i,r,c,a;for(this.e=new Zm,this.a=new Zm,e=n.b-1;e<3;e++)sR(n,0,uG(hyn(n,0),8));if(n.b<4)throw hv(new vM("At (least dimension + 1) control points are necessary!"));for(this.b=3,this.d=!0,this.c=!1,yxn(this,n.b+this.b-1),a=new Zm,c=new Ww(this.e),t=0;t<this.b-1;t++)kD(a,pK(N3(c)));for(r=Fkn(n,0);r.b!=r.d.c;)i=uG(I6(r),8),kD(a,pK(N3(c))),kD(this.a,new R1(i,a)),u3(0,a.c.length),a.c.splice(0,1)}function Eqn(n,t){var e,i,r,c,a,o,u;for(r=new Ww(n.b);r.a<r.c.c.length;)for(a=new Ww(uG(N3(r),30).a);a.a<a.c.c.length;)for((c=uG(N3(a),10)).k==(zIn(),bbt)&&(o=uG(N9(new Fz(ix(qgn(c).a.Kc(),new h))),18),u=uG(N9(new Fz(ix(Xgn(c).a.Kc(),new h))),18),Gqn(c,oM(gK(oIn(o,(GYn(),pmt))))&&oM(gK(oIn(u,pmt)))?ufn(t):t)),i=new Fz(ix(Xgn(c).a.Kc(),new h));hDn(i);)Nhn(e=uG(N9(i),18),oM(gK(oIn(e,(GYn(),pmt))))?ufn(t):t)}function Sqn(n,t,e,i,r){var c,a;if(e.f>=t.o&&e.f<=t.f||.5*t.a<=e.f&&1.5*t.a>=e.f){if((c=uG(zq(t.n,t.n.c.length-1),209)).e+c.d+e.g+r<=i&&(uG(zq(t.n,t.n.c.length-1),209).f-n.f+e.f<=n.b||1==n.a.c.length))return ipn(t,e),!0;if(t.s+e.g<=i&&(t.t+t.d+e.f+r<=n.b||1==n.a.c.length))return kD(t.b,e),a=uG(zq(t.n,t.n.c.length-1),209),kD(t.n,new c0(t.s,a.f+a.a+t.i,t.i)),zMn(uG(zq(t.n,t.n.c.length-1),209),e),nqn(t,e),!0}return!1}function Pqn(n,t,e){var i,r,c,a;return n.Pj()?(r=null,c=n.Qj(),i=n.Ij(1,a=iin(n,t,e),e,t,c),n.Mj()&&!(n.Yi()&&null!=a?udn(a,e):xA(a)===xA(e))?(null!=a&&(r=n.Oj(a,r)),r=n.Nj(e,r),n.Tj()&&(r=n.Wj(a,e,r)),r?(r.nj(i),r.oj()):n.Jj(i)):(n.Tj()&&(r=n.Wj(a,e,r)),r?(r.nj(i),r.oj()):n.Jj(i)),a):(a=iin(n,t,e),n.Mj()&&!(n.Yi()&&null!=a?udn(a,e):xA(a)===xA(e))&&(r=null,null!=a&&(r=n.Oj(a,null)),(r=n.Nj(e,r))&&r.oj()),a)}function Cqn(n,t){var e,i,r,c;if(t.Ug("Path-Like Graph Wrapping",1),0!=n.b.c.length)if(null==(r=new dDn(n)).i&&(r.i=aun(r,new pc)),e=uM(r.i)*r.f/(null==r.i&&(r.i=aun(r,new pc)),uM(r.i)),r.b>e)t.Vg();else{switch(uG(oIn(n,(jYn(),BTt)),351).g){case 2:c=new kc;break;case 0:c=new hc;break;default:c=new yc}if(i=c.og(n,r),!c.pg())switch(uG(oIn(n,zTt),352).g){case 2:i=KLn(r,i);break;case 1:i=pPn(r,i)}yzn(n,r,i),t.Vg()}else t.Vg()}function Iqn(n,t){var i,r,c,a,o,u,s;t%=24,n.q.getHours()!=t&&((i=new e.Date(n.q.getTime())).setDate(i.getDate()+1),(o=n.q.getTimezoneOffset()-i.getTimezoneOffset())>0&&(u=o/60|0,s=o%60,r=n.q.getDate(),n.q.getHours()+u>=24&&++r,c=new e.Date(n.q.getFullYear(),n.q.getMonth(),r,t+u,n.q.getMinutes()+s,n.q.getSeconds(),n.q.getMilliseconds()),n.q.setTime(c.getTime()))),a=n.q.getTime(),n.q.setTime(a+36e5),n.q.getHours()!=t&&n.q.setTime(a)}function Oqn(n,t){var e,i,r,c;if(a3(n.d,n.e),n.c.a.$b(),0!=uM(pK(oIn(t.j,(jYn(),yyt))))||0!=uM(pK(oIn(t.j,yyt))))for(e=B3n,xA(oIn(t.j,Syt))!==xA((yvn(),Fjt))&&kfn(t.j,(GYn(),Bpt),(qx(),!0)),c=uG(oIn(t.j,OTt),17).a,r=0;r<c&&!((i=eXn(n,t))<e&&(e=i,Uon(n),0==e));r++);else for(e=vZn,xA(oIn(t.j,Syt))!==xA((yvn(),Fjt))&&kfn(t.j,(GYn(),Bpt),(qx(),!0)),c=uG(oIn(t.j,OTt),17).a,r=0;r<c&&!((i=iXn(n,t))<e&&(e=i,Uon(n),0==e));r++);}function Aqn(n,t){var e,i,r,c,a,o;for(r=new Zm,c=0,e=0,a=0;c<t.c.length-1&&e<n.gc();){for(i=uG(n.Xb(e),17).a+a;(u3(c+1,t.c.length),uG(t.c[c+1],17)).a<i;)++c;for(o=0,i-(u3(c,t.c.length),uG(t.c[c],17)).a>(u3(c+1,t.c.length),uG(t.c[c+1],17)).a-i&&++o,kD(r,(u3(c+o,t.c.length),uG(t.c[c+o],17))),a+=(u3(c+o,t.c.length),uG(t.c[c+o],17)).a-i,++e;e<n.gc()&&uG(n.Xb(e),17).a+a<=(u3(c+o,t.c.length),uG(t.c[c+o],17)).a;)++e;c+=1+o}return r}function Lqn(n,t){var e,i,r,c,a;for(a=new Fz(ix(qgn(t).a.Kc(),new h));hDn(a);)if(c=uG(N9(a),18),0==n.f.b?(r=c.c.i.k==(zIn(),dbt)&&!!c.c.i.c&&c.c.i.c.p==n.c,hDn(new Fz(ix(qgn(c.c.i).a.Kc(),new h)))?(e=uG(N9(new Fz(ix(qgn(c.c.i).a.Kc(),new h))),18).c.i.c,i=c.c.i.k==bbt&&!!e&&e.p==n.c):i=!1):(r=c.c.i.k==(zIn(),dbt)&&c.c.i.p==n.c,i=c.c.i.k==bbt&&uG(N9(new Fz(ix(qgn(c.c.i).a.Kc(),new h))),18).c.i.p==n.c),r||i)return!0;return!1}function Nqn(n,t,i,r,c){var a,o,u,s,h,f,l,b,w,d,g,p,m,v;for(l=new Zm,p=g8(r),g=t*n.a,w=0,a=new ek,o=new ek,u=new Zm,m=0,v=0,b=0,d=0,h=0,f=0;0!=p.a.gc();)(s=ygn(p,c,o))&&(p.a.Bc(s),mv(u.c,s),a.a.zc(s,a),w=n.f[s.p],m+=n.e[s.p]-w*n.b,v+=n.c[s.p]*n.b,f+=w*n.b,d+=n.e[s.p]),(!s||0==p.a.gc()||m>=g&&n.e[s.p]>w*n.b||v>=i*g)&&(mv(l.c,u),u=new Zm,Qon(o,a),a.a.$b(),h-=f,b=e.Math.max(b,h*n.b+d),h+=v,m=v,v=0,f=0,d=0);return new WO(b,l)}function $qn(n){var t,e,i,r,c;if(!n.d){if(c=new js,null==(t=V_t).a.zc(n,t)){for(e=new DD(n1(n));e.e!=e.i.gc();)CW(c,$qn(uG(Zkn(e),29)));t.a.Bc(n),t.a.gc()}for(r=c.i,!n.q&&(n.q=new fV(p_t,n,11,10)),i=new DD(n.q);i.e!=i.i.gc();++r)uG(Zkn(i),411);CW(c,(!n.q&&(n.q=new fV(p_t,n,11,10)),n.q)),lbn(c),n.d=new vL((uG(zrn(gZ((tQ(),M_t).o),9),19),c.i),c.g),n.e=uG(c.g,688),null==n.e&&(n.e=W_t),y9(n).b&=-17}return n.d}function Dqn(n,t,e,i){var r,c,a,o,u,s;if(s=VKn(n.e.Dh(),t),u=0,r=uG(n.g,124),PP(),uG(t,69).xk()){for(a=0;a<n.i;++a)if(c=r[a],s.am(c.Lk())){if(udn(c,e))return u;++u}}else if(null!=e){for(o=0;o<n.i;++o)if(c=r[o],s.am(c.Lk())){if(udn(e,c.md()))return u;++u}if(i)for(u=0,a=0;a<n.i;++a)if(c=r[a],s.am(c.Lk())){if(xA(e)===xA(fK(n,uG(c.md(),58))))return u;++u}}else for(a=0;a<n.i;++a)if(c=r[a],s.am(c.Lk())){if(null==c.md())return u;++u}return-1}function xqn(n,t,e,i){var r,c,a,o,u,s,h,f,l,b,w,d;if(e.Xh(t)&&(h=(b=t)?uG(i,54).gi(b):null))if(d=e.Nh(t,n.a),(w=t.t)>1||-1==w)if(f=uG(d,71),l=uG(h,71),f.dc())l.$b();else for(a=!!lMn(t),c=0,o=n.a?f.Kc():f.Ii();o.Ob();)s=uG(o.Pb(),58),(r=uG(ain(n,s),58))?(a?-1==(u=l.dd(r))?l.Gi(c,r):c!=u&&l.Ui(c,r):l.Gi(c,r),++c):n.b&&!a&&(l.Gi(c,s),++c);else null==d?h.Wb(null):null==(r=ain(n,d))?n.b&&!lMn(t)&&h.Wb(d):h.Wb(r)}function Rqn(n,t){var i,r,c,a,o,u,s,f;for(i=new Ne,c=new Fz(ix(qgn(t).a.Kc(),new h));hDn(c);)if(!v9(r=uG(N9(c),18))&&_Pn(u=r.c.i,$bt)){if(-1==(f=U_n(n,u,$bt,Nbt)))continue;i.b=e.Math.max(i.b,f),!i.a&&(i.a=new Zm),kD(i.a,u)}for(o=new Fz(ix(Xgn(t).a.Kc(),new h));hDn(o);)if(!v9(a=uG(N9(o),18))&&_Pn(s=a.d.i,Nbt)){if(-1==(f=U_n(n,s,Nbt,$bt)))continue;i.d=e.Math.max(i.d,f),!i.c&&(i.c=new Zm),kD(i.c,s)}return i}function Kqn(n,t,e,i){var r,c,a,o,u,s,h;if(e.d.i!=t.i){for(Hb(r=new gMn(n),(zIn(),wbt)),kfn(r,(GYn(),rmt),e),kfn(r,(jYn(),JMt),($Pn(),cRt)),mv(i.c,r),o2(a=new lOn,r),NLn(a,(KQn(),_Rt)),o2(o=new lOn,r),NLn(o,kRt),h=e.d,u2(e,a),zsn(c=new UZ,e),kfn(c,bMt,null),c2(c,o),u2(c,h),s=new N4(e.b,0);s.b<s.d.gc();)MK(s.b<s.d.gc()),xA(oIn(u=uG(s.d.Xb(s.c=s.b++),72),Xyt))===xA((Zrn(),rxt))&&(kfn(u,Dpt,e),LQ(s),kD(c.b,u));wDn(r,a,o)}}function Fqn(n,t,e,i){var r,c,a,o,u,s;if(e.c.i!=t.i)for(Hb(r=new gMn(n),(zIn(),wbt)),kfn(r,(GYn(),rmt),e),kfn(r,(jYn(),JMt),($Pn(),cRt)),mv(i.c,r),o2(a=new lOn,r),NLn(a,(KQn(),_Rt)),o2(o=new lOn,r),NLn(o,kRt),u2(e,a),zsn(c=new UZ,e),kfn(c,bMt,null),c2(c,o),u2(c,t),wDn(r,a,o),s=new N4(e.b,0);s.b<s.d.gc();)MK(s.b<s.d.gc()),u=uG(s.d.Xb(s.c=s.b++),72),uG(oIn(u,Xyt),278)==(Zrn(),rxt)&&(vR(u,Dpt)||kfn(u,Dpt,e),LQ(s),kD(c.b,u))}function _qn(n){var t,e,i,r;if(b_n(),t=t0(n),n<qot.length)return qot[t];if(n<=50)return t$n((cHn(),Kot),t);if(n<=$1n)return D9(t$n(Got[1],t),t);if(n>1e6)throw hv(new wM("power of ten too big"));if(n<=vZn)return D9(t$n(Got[1],t),t);for(r=i=t$n(Got[1],vZn),e=Bsn(n-vZn),t=t0(n%vZn);dwn(e,vZn)>0;)r=j5(r,i),e=$gn(e,vZn);for(r=D9(r=j5(r,t$n(Got[1],t)),vZn),e=Bsn(n-vZn);dwn(e,vZn)>0;)r=D9(r,vZn),e=$gn(e,vZn);return r=D9(r,t)}function Bqn(n){var t,e,i,r,c,a,o,u;for(a=new Ww(n.a);a.a<a.c.c.length;)if((c=uG(N3(a),10)).k==(zIn(),lbt)&&((r=uG(oIn(c,(GYn(),Fpt)),64))==(KQn(),kRt)||r==_Rt))for(i=new Fz(ix(Ggn(c).a.Kc(),new h));hDn(i);)0!=(t=(e=uG(N9(i),18)).a).b&&((o=e.c).i==c&&(MK(0!=t.b),uG(t.a.a.c,8).b=Gfn(Uhn(cT(PNt,1),zZn,8,0,[o.i.n,o.n,o.a])).b),(u=e.d).i==c&&(MK(0!=t.b),uG(t.c.b.c,8).b=Gfn(Uhn(cT(PNt,1),zZn,8,0,[u.i.n,u.n,u.a])).b))}function Hqn(n,t,i,r){var c,a,o;if(this.j=new Zm,this.k=new Zm,this.b=new Zm,this.c=new Zm,this.e=new cN,this.i=new Uk,this.f=new nv,this.d=new Zm,this.g=new Zm,kD(this.b,n),kD(this.b,t),this.e.c=e.Math.min(n.a,t.a),this.e.d=e.Math.min(n.b,t.b),this.e.b=e.Math.abs(n.a-t.a),this.e.a=e.Math.abs(n.b-t.b),c=uG(oIn(r,(jYn(),bMt)),75))for(o=Fkn(c,0);o.b!=o.d.c;)gcn((a=uG(I6(o),8)).a,n.a)&&aq(this.i,a);i&&kD(this.j,i),kD(this.k,r)}function Uqn(n,t,e,i){var r,c,a,o,u,s,h;for(o=-1,h=new Ww(n);h.a<h.c.c.length;)(s=uG(N3(h),118)).g=o--,a=r=pz(t6(nY(JJ(new fX(null,new h3(s.f,16)),new ua),new sa)).d),u=c=pz(t6(nY(JJ(new fX(null,new h3(s.k,16)),new ha),new fa)).d),i||(a=pz(t6(nY(new fX(null,new h3(s.f,16)),new la)).d),u=pz(t6(nY(new fX(null,new h3(s.k,16)),new aa)).d)),s.d=a,s.a=r,s.i=u,s.b=c,0==u?s8(e,s,e.c.b,e.c):0==a&&s8(t,s,t.c.b,t.c)}function Gqn(n,t){var i,r,c,a,o;if(n.k==(zIn(),bbt)&&(i=n.k!=bbt||Qj(JJ(uG(oIn(n,(GYn(),gmt)),15).Oc(),new hd(new _t))).Bd((vS(),Kut))?t:(Ajn(),xxt),kfn(n,(GYn(),Qpt),i),i!=(Ajn(),Dxt)))for(r=uG(oIn(n,rmt),18),o=uM(pK(oIn(r,(jYn(),tMt)))),a=0,i==$xt?a=n.o.b-e.Math.ceil(o/2):i==xxt&&(a=e.Math.ceil(n.o.b-uM(pK(oIn(HQ(n),pTt)))-o)/2,n.o.b-=uM(pK(oIn(HQ(n),pTt))),n.o.b-=o),c=new Ww(n.j);c.a<c.c.c.length;)uG(N3(c),12).n.b=a}function qqn(n,t,e){var i,r,c,a,o,u,s,h,f;for(r=!0,a=new Ww(n.b);a.a<a.c.c.length;){for(c=uG(N3(a),30),s=T0n,h=null,u=new Ww(c.a);u.a<u.c.c.length;){if(o=uG(N3(u),10),f=uM(t.p[o.p])+uM(t.d[o.p])-o.d.d,i=uM(t.p[o.p])+uM(t.d[o.p])+o.o.b+o.d.a,!(f>s&&i>s)){r=!1,e._g()&&e.bh("bk node placement breaks on "+o+" which should have been after "+h);break}h=o,s=uM(t.p[o.p])+uM(t.d[o.p])+o.o.b+o.d.a}if(!r)break}return e._g()&&e.bh(t+" is feasible: "+r),r}function Xqn(n,t,e,i){var r,c,a,o,u,s,h;if(Hb(c=new gMn(n),(zIn(),gbt)),kfn(c,(jYn(),JMt),($Pn(),cRt)),r=0,t){for(kfn(a=new lOn,(GYn(),rmt),t),kfn(c,rmt,t.i),NLn(a,(KQn(),_Rt)),o2(a,c),s=0,h=(u=x4(t.e)).length;s<h;++s)u2(u[s],a);kfn(t,lmt,c),++r}if(e){for(o=new lOn,kfn(c,(GYn(),rmt),e.i),kfn(o,rmt,e),NLn(o,(KQn(),kRt)),o2(o,c),s=0,h=(u=x4(e.g)).length;s<h;++s)c2(u[s],o);kfn(e,lmt,c),++r}return kfn(c,(GYn(),Opt),xwn(r)),mv(i.c,c),c}function zqn(n){var t,e,i,r,c,a,o,u,s,h,f,l;for(e=new _w(new Fw(n.c.b).a.vc().Kc());e.a.Ob();)o=uG(e.a.Pb(),44),null==(r=(t=uG(o.md(),143)).a)&&(r=""),!(i=UK(n.c,r))&&0==r.length&&(i=Qwn(n)),i&&!Wpn(i.c,t,!1)&&aq(i.c,t);for(a=Fkn(n.a,0);a.b!=a.d.c;)c=uG(I6(a),486),s=C9(n.c,c.a),l=C9(n.c,c.b),s&&l&&aq(s.c,new WO(l,c.c));for(BY(n.a),f=Fkn(n.b,0);f.b!=f.d.c;)h=uG(I6(f),486),t=HK(n.c,h.a),u=C9(n.c,h.b),t&&u&&cP(t,u,h.c);BY(n.b)}function Vqn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b;c=new Cb(n),n9((a=new Zjn).g),n9(a.j),$V(a.b),n9(a.d),n9(a.i),$V(a.k),$V(a.c),$V(a.e),b=iNn(a,c,null),Mxn(a,c),r=b,t&&(o=wXn(s=new Cb(t)),iOn(r,Uhn(cT(nNt,1),EZn,536,0,[o]))),l=!1,f=!1,e&&(s=new Cb(e),Yet in s.a&&(l=v0(s,Yet).qe().a),Zet in s.a&&(f=v0(s,Zet).qe().a)),h=lj(xcn(new fy,l),f),SOn(new au,r,h),Yet in c.a&&nrn(c,Yet,null),(l||f)&&(mGn(h,u=new _y,l,f),nrn(c,Yet,u)),i=new bm(a),sln(new jN(r),i)}function Wqn(n,t,e){var i,r,c,a,o,u,s,h,f;for(a=new DEn,s=Uhn(cT(YHt,1),W1n,28,15,[0]),r=-1,c=0,i=0,u=0;u<n.b.c.length;++u){if(!((h=uG(zq(n.b,u),443)).b>0)){if(r=-1,32==VJ(h.c,0)){if(f=s[0],win(t,s),s[0]>f)continue}else if(WZ(t,h.c,s[0])){s[0]+=h.c.length;continue}return 0}if(r<0&&h.a&&(r=u,c=s[0],i=0),r>=0){if(o=h.b,u==r&&0==(o-=i++))return 0;if(!rJn(t,s,h,o,a)){u=r-1,s[0]=c;continue}}else if(r=-1,!rJn(t,s,h,0,a))return 0}return LQn(a,e)?s[0]:0}function Qqn(n,t,e){var i,r,c,a,o,u,s,h,f,l;for(h=new Kz(new Fd(e)),zV(o=Inn(ZHt,B2n,28,n.f.e.c.length,16,1),o.length),e[t.a]=0,s=new Ww(n.f.e);s.a<s.c.c.length;)(u=uG(N3(s),153)).a!=t.a&&(e[u.a]=vZn),kG(_Cn(h,u),D0n);for(;0!=h.b.c.length;)for(o[(f=uG(hin(h),153)).a]=!0,c=rx(new RE(n.b,f),0);c.c;)o[(l=mTn(r=uG(Ein(c),289),f)).a]||(a=vR(r,(Bjn(),ilt))?uM(pK(oIn(r,ilt))):n.c,(i=e[f.a]+a)<e[l.a]&&(e[l.a]=i,yon(h,l),kG(_Cn(h,l),D0n)))}function Jqn(n){var t,e,i,r,c,a,o,u,s,h,f,l,b,w;for(a=n.o,i=Inn(YHt,W1n,28,a,15,1),r=Inn(YHt,W1n,28,a,15,1),e=n.p,t=Inn(YHt,W1n,28,e,15,1),c=Inn(YHt,W1n,28,e,15,1),s=0;s<a;s++){for(f=0;f<e&&!eTn(n,s,f);)++f;i[s]=f}for(h=0;h<a;h++){for(f=e-1;f>=0&&!eTn(n,h,f);)--f;r[h]=f}for(b=0;b<e;b++){for(o=0;o<a&&!eTn(n,o,b);)++o;t[b]=o}for(w=0;w<e;w++){for(o=a-1;o>=0&&!eTn(n,o,w);)--o;c[w]=o}for(u=0;u<a;u++)for(l=0;l<e;l++)u<c[l]&&u>t[l]&&l<r[u]&&l>i[u]&&HBn(n,u,l,!1,!0)}function Yqn(n){var t,e,i,r,c,a,o,u;e=oM(gK(oIn(n,(cGn(),yft)))),c=n.a.c.d,o=n.a.d.d,e?(a=vD(YF(new MO(o.a,o.b),c),.5),u=vD(D$(n.e),.5),t=YF(JF(new 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Ww(e.j);r.a<r.c.c.length;)for(o=0,u=(a=x4(uG(N3(r),12).g)).length;o<u;++o)(c=a[o]).d.i==e&&oM(gK(oIn(c,hMt)))&&(h=c.c,(s=uG(cQ(n.b,h),10))||(kfn(s=DJn(h,($Pn(),uRt),h.j,-1,null,null,h.o,uG(oIn(t,Byt),88),t),(GYn(),rmt),h),vJ(n.b,h,s),kD(t.a,s)),l=c.d,(f=uG(cQ(n.b,l),10))||(kfn(f=DJn(l,($Pn(),uRt),l.j,1,null,null,l.o,uG(oIn(t,Byt),88),t),(GYn(),rmt),l),vJ(n.b,l,f),kD(t.a,f)),c2(i=K9(c),uG(zq(s.j,0),12)),u2(i,uG(zq(f.j,0),12)),UNn(n.a,c,new $B(i,t,(can(),Wjt))),uG(oIn(t,(GYn(),Hpt)),21).Fc((r_n(),tpt)))}function HVn(n,t){var e,i,r,c,a,o,u,s,h,f;for(i=new Ww(n.a.b);i.a<i.c.c.length;)for(o=new Ww(uG(N3(i),30).a);o.a<o.c.c.length;)a=uG(N3(o),10),t.j[a.p]=a,t.i[a.p]=t.o==(w0(),dSt)?T0n:M0n;for($V(n.c),c=n.a.b,t.c==(b0(),hSt)&&(c=Spn(c)),_4(n.e,t,n.b),FP(t.p,null),r=c.Kc();r.Ob();)for(u=uG(r.Pb(),30).a,t.o==(w0(),dSt)&&(u=Spn(u)),f=u.Kc();f.Ob();)h=uG(f.Pb(),10),t.g[h.p]==h&&IJn(n,h,t);for(cVn(n,t),e=c.Kc();e.Ob();)for(f=new 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e,i,r,c,a,o,u,s,h;if(null!=(s=t).b&&null!=n.b){for(pxn(n),szn(n),pxn(s),szn(s),e=Inn(YHt,W1n,28,n.b.length+s.b.length,15,1),h=0,i=0,a=0;i<n.b.length&&a<s.b.length;)if(r=n.b[i],c=n.b[i+1],o=s.b[a],u=s.b[a+1],c<o)i+=2;else if(c>=o&&r<=u)o<=r&&c<=u?(e[h++]=r,e[h++]=c,i+=2):o<=r?(e[h++]=r,e[h++]=u,n.b[i]=u+1,a+=2):c<=u?(e[h++]=o,e[h++]=c,i+=2):(e[h++]=o,e[h++]=u,n.b[i]=u+1);else{if(!(u<r))throw hv(new Ky("Token#intersectRanges(): Internal Error: ["+n.b[i]+","+n.b[i+1]+"] & ["+s.b[a]+","+s.b[a+1]+"]"));a+=2}for(;i<n.b.length;)e[h++]=n.b[i++],e[h++]=n.b[i++];n.b=Inn(YHt,W1n,28,h,15,1),qGn(e,0,n.b,0,h)}}function qVn(n){var t,i,r,c,a,o,u;for(t=new Zm,n.g=new Zm,n.d=new Zm,o=new bsn(new Nw(n.f.b).a);o.b;)kD(t,uG(uG((a=von(o)).md(),42).b,86)),hN(uG(a.ld(),602).Af())?kD(n.d,uG(a.md(),42)):kD(n.g,uG(a.md(),42));for(Npn(n,n.d),Npn(n,n.g),n.c=new i$n(n.b),ST(n.c,(HS(),Olt)),agn(n,n.d),agn(n,n.g),Ohn(t,n.c.a.b),n.e=new MO(M0n,M0n),n.a=new MO(T0n,T0n),r=new Ww(t);r.a<r.c.c.length;)i=uG(N3(r),86),n.e.a=e.Math.min(n.e.a,i.g.c),n.e.b=e.Math.min(n.e.b,i.g.d),n.a.a=e.Math.max(n.a.a,i.g.c+i.g.b),n.a.b=e.Math.max(n.a.b,i.g.d+i.g.a);ET(n.c,new kt),u=0;do{c=_Vn(n),++u}while((u<2||c>T1n)&&u<10);ET(n.c,new yt),_Vn(n),YV(n.c),lVn(n.f)}function XVn(n,t){var i,r,c,a,o,u,s,h,f,l,b,w,d,g;for(i=uG(oIn(n,(jYn(),JMt)),101),o=n.f,a=n.d,u=o.a+a.b+a.c,s=0-a.d-n.c.b,f=o.b+a.d+a.a-n.c.b,h=new Zm,l=new Zm,c=new Ww(t);c.a<c.c.c.length;){switch(r=uG(N3(c),10),i.g){case 1:case 2:case 3:OKn(r);break;case 4:w=(b=uG(oIn(r,WMt),8))?b.a:0,r.n.a=u*uM(pK(oIn(r,(GYn(),bmt))))-w,fhn(r,!0,!1);break;case 5:g=(d=uG(oIn(r,WMt),8))?d.a:0,r.n.a=uM(pK(oIn(r,(GYn(),bmt))))-g,fhn(r,!0,!1),o.a=e.Math.max(o.a,r.n.a+r.o.a/2)}switch(uG(oIn(r,(GYn(),Fpt)),64).g){case 1:r.n.b=s,mv(h.c,r);break;case 3:r.n.b=f,mv(l.c,r)}}switch(i.g){case 1:case 2:adn(h,n),adn(l,n);break;case 3:odn(h,n),odn(l,n)}}function zVn(n,t){var e,i,r,c,a,o,u,s,h,f,l;switch(n.k.g){case 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r,c,a,o,u,s,h,f,l,b,w,d,g,p,m;if(g=n.n,p=n.o,b=n.d,l=uM(pK(Omn(n,(jYn(),lTt)))),t){for(f=l*(t.gc()-1),w=0,s=t.Kc();s.Ob();)f+=(o=uG(s.Pb(),10)).o.a,w=e.Math.max(w,o.o.b);for(m=g.a-(f-p.a)/2,a=g.b-b.d+w,c=r=p.a/(t.gc()+1),u=t.Kc();u.Ob();)(o=uG(u.Pb(),10)).n.a=m,o.n.b=a-o.o.b,m+=o.o.a+l,(h=ERn(o)).n.a=o.o.a/2-h.a.a,h.n.b=o.o.b,(d=uG(oIn(o,(GYn(),Ppt)),12)).e.c.length+d.g.c.length==1&&(d.n.a=c-d.a.a,d.n.b=0,o2(d,n)),c+=r}if(i){for(f=l*(i.gc()-1),w=0,s=i.Kc();s.Ob();)f+=(o=uG(s.Pb(),10)).o.a,w=e.Math.max(w,o.o.b);for(m=g.a-(f-p.a)/2,a=g.b+p.b+b.a-w,c=r=p.a/(i.gc()+1),u=i.Kc();u.Ob();)(o=uG(u.Pb(),10)).n.a=m,o.n.b=a,m+=o.o.a+l,(h=ERn(o)).n.a=o.o.a/2-h.a.a,h.n.b=0,(d=uG(oIn(o,(GYn(),Ppt)),12)).e.c.length+d.g.c.length==1&&(d.n.a=c-d.a.a,d.n.b=p.b,o2(d,n)),c+=r}}function gQn(n,t){var i,r,c,a,o,u;if(uG(oIn(t,(GYn(),Hpt)),21).Hc((r_n(),tpt))){for(u=new 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MO(i.g,i.f),uG(oIn(e,Byt),88),e),(GYn(),rmt),i),Ub(c=uG(zq(r.j,0),12),IUn(i)),kfn(r,nTt,(eNn(),ggn(gRt))),h=uG(zDn(t,nTt),181).Hc(wRt),o=new DD((!i.n&&(i.n=new fV(lFt,i,1,7)),i.n));o.e!=o.i.gc();)if(!oM(gK(zDn(a=uG(Zkn(o),135),FMt)))&&a.a&&(f=own(a),kD(c.f,f),!h))switch(s=0,cV(uG(zDn(t,nTt),21))&&(s=jNn(new MO(a.i,a.j),new MO(a.g,a.f),new MO(i.g,i.f),0,d)),d.g){case 2:case 4:f.o.a=s;break;case 1:case 3:f.o.b=s}kfn(r,TTt,pK(zDn(R0(t),TTt))),kfn(r,jTt,pK(zDn(R0(t),jTt))),kfn(r,yTt,pK(zDn(R0(t),yTt))),kD(e.a,r),vJ(n.a,i,r)}function mQn(n,t,e,i,r,c){var a,o,u,s,h,f;for(zsn(s=new lOn,t),NLn(s,uG(zDn(t,(jYn(),eTt)),64)),kfn(s,(GYn(),rmt),t),o2(s,e),(f=s.o).a=t.g,f.b=t.f,(h=s.n).a=t.i,h.b=t.j,vJ(n.a,t,s),(a=o9(YJ(sin(new fX(null,(!t.e&&(t.e=new f_(aFt,t,7,4)),new h3(t.e,16))),new Wt),new zt),new Zd(t)))||(a=o9(YJ(sin(new fX(null,(!t.d&&(t.d=new f_(aFt,t,8,5)),new h3(t.d,16))),new Qt),new Vt),new ng(t))),a||(a=o9(new fX(null,(!t.e&&(t.e=new f_(aFt,t,7,4)),new h3(t.e,16))),new Jt)),kfn(s,qpt,(qx(),!!a)),Fzn(s,c,r,uG(zDn(t,WMt),8)),u=new DD((!t.n&&(t.n=new fV(lFt,t,1,7)),t.n));u.e!=u.i.gc();)!oM(gK(zDn(o=uG(Zkn(u),135),FMt)))&&o.a&&kD(s.f,own(o));switch(r.g){case 2:case 1:(s.j==(KQn(),yRt)||s.j==KRt)&&i.Fc((r_n(),cpt));break;case 4:case 3:(s.j==(KQn(),kRt)||s.j==_Rt)&&i.Fc((r_n(),cpt))}return s}function vQn(n,t,i,r,c){var a,o,u,s,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S;for(k=0,g=0,d=0,w=1,v=new DD((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a));v.e!=v.i.gc();)w+=x5(new Fz(ix(eRn(p=uG(Zkn(v),27)).a.Kc(),new h))),j=p.g,g=e.Math.max(g,j),b=p.f,d=e.Math.max(d,b),k+=j*b;for(o=k+2*r*r*w*(!n.a&&(n.a=new fV(bFt,n,10,11)),n.a).i,a=e.Math.sqrt(o),s=e.Math.max(a*i,g),u=e.Math.max(a/i,d),m=new DD((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a));m.e!=m.i.gc();)p=uG(Zkn(m),27),E=c.b+(uRn(t,26)*G0n+uRn(t,27)*q0n)*(s-p.g),S=c.b+(uRn(t,26)*G0n+uRn(t,27)*q0n)*(u-p.f),ycn(p,E),Mcn(p,S);for(T=s+(c.b+c.c),M=u+(c.d+c.a),y=new DD((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a));y.e!=y.i.gc();)for(l=new Fz(ix(eRn(uG(Zkn(y),27)).a.Kc(),new h));hDn(l);)z$n(f=uG(N9(l),74))||fYn(f,t,T,M);ZQn(n,T+=c.b+c.c,M+=c.d+c.a,!1,!0)}function kQn(n){var t;if(this.r=tY(new Sn,new Pn),this.b=new rpn(uG(WW(YRt),296)),this.p=new rpn(uG(WW(YRt),296)),this.i=new rpn(uG(WW(mht),296)),this.e=n,this.o=new eN(n.Mf()),this.D=n.Yf()||oM(gK(n.of((XYn(),C$t)))),this.A=uG(n.of((XYn(),_$t)),21),this.B=uG(n.of(q$t),21),this.q=uG(n.of(sDt),101),this.u=uG(n.of(bDt),21),!eIn(this.u))throw hv(new jM("Invalid port label placement: "+this.u));if(this.v=oM(gK(n.of(dDt))),this.j=uG(n.of(K$t),21),!zxn(this.j))throw hv(new jM("Invalid node label placement: "+this.j));this.n=uG(Rjn(n,x$t),107),this.k=uM(pK(Rjn(n,LDt))),this.d=uM(pK(Rjn(n,ADt))),this.w=uM(pK(Rjn(n,FDt))),this.s=uM(pK(Rjn(n,NDt))),this.t=uM(pK(Rjn(n,$Dt))),this.C=uG(Rjn(n,RDt),140),this.c=2*this.d,t=!this.B.Hc((oUn(),nKt)),this.f=new tkn(0,t,0),this.g=new tkn(1,t,0),nM(this.f,(Yrn(),Est),this.g)}function yQn(n,t){var 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nB(n=uG(Mj(YRt),9),uG(MF(n,n.length),9),0)),PRt=Nwn(WX(yRt,Uhn(cT(YRt,1),z4n,64,0,[]))),MRt=Nwn(WX(kRt,Uhn(cT(YRt,1),z4n,64,0,[]))),DRt=Nwn(WX(KRt,Uhn(cT(YRt,1),z4n,64,0,[]))),RRt=Nwn(WX(_Rt,Uhn(cT(YRt,1),z4n,64,0,[]))),LRt=Nwn(WX(yRt,Uhn(cT(YRt,1),z4n,64,0,[KRt]))),ERt=Nwn(WX(kRt,Uhn(cT(YRt,1),z4n,64,0,[_Rt]))),$Rt=Nwn(WX(yRt,Uhn(cT(YRt,1),z4n,64,0,[_Rt]))),CRt=Nwn(WX(yRt,Uhn(cT(YRt,1),z4n,64,0,[kRt]))),xRt=Nwn(WX(KRt,Uhn(cT(YRt,1),z4n,64,0,[_Rt]))),TRt=Nwn(WX(kRt,Uhn(cT(YRt,1),z4n,64,0,[KRt]))),ARt=Nwn(WX(yRt,Uhn(cT(YRt,1),z4n,64,0,[kRt,_Rt]))),jRt=Nwn(WX(kRt,Uhn(cT(YRt,1),z4n,64,0,[KRt,_Rt]))),NRt=Nwn(WX(yRt,Uhn(cT(YRt,1),z4n,64,0,[KRt,_Rt]))),IRt=Nwn(WX(yRt,Uhn(cT(YRt,1),z4n,64,0,[kRt,KRt]))),ORt=Nwn(WX(yRt,Uhn(cT(YRt,1),z4n,64,0,[kRt,KRt,_Rt])))}function FQn(n,t){var e,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y;for(t.Ug(j6n,1),w=new Zm,k=new Zm,s=new Ww(n.b);s.a<s.c.c.length;)for(g=-1,l=0,b=(f=D4((u=uG(N3(s),30)).a)).length;l<b;++l)if(++g,(h=f[l]).k==(zIn(),dbt)&&sN(uG(oIn(h,(jYn(),JMt)),101))){for(L_(uG(oIn(h,(jYn(),JMt)),101))||NKn(h),kfn(h,(GYn(),zpt),h),w.c.length=0,k.c.length=0,e=new Zm,Fon(m=new lS,yOn(h,(KQn(),yRt))),zJn(n,m,w,k,e),o=g,y=h,c=new Ww(w);c.a<c.c.c.length;)$jn(i=uG(N3(c),10),o,u),++g,kfn(i,zpt,h),a=uG(zq(i.j,0),12),d=uG(oIn(a,rmt),12),oM(gK(oIn(d,wyt)))||uG(oIn(i,Vpt),15).Fc(y);for(BY(m),p=yOn(h,KRt).Kc();p.Ob();)s8(m,uG(p.Pb(),12),m.a,m.a.a);for(zJn(n,m,k,null,e),v=h,r=new Ww(k);r.a<r.c.c.length;)$jn(i=uG(N3(r),10),++g,u),kfn(i,zpt,h),a=uG(zq(i.j,0),12),d=uG(oIn(a,rmt),12),oM(gK(oIn(d,wyt)))||uG(oIn(v,Vpt),15).Fc(i);0==e.c.length||kfn(h,jpt,e)}t.Vg()}function _Qn(n,t){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m;if(0!=t.b){for(l=new 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Ww(n.j);f.a<f.c.c.length;)F$(w=oIn(s=uG(N3(f),12),rmt),193)&&(kN(r=uG(w,123),s.n.a,s.n.b),Myn(r,eTt,s.j));for(l=0!=uG(oIn(n,PMt),181).gc(),u=new Ww(n.b);u.a<u.c.c.length;)a=uG(N3(u),72),(l||0!=uG(oIn(a,PMt),181).gc())&&(vN(e=uG(oIn(a,rmt),135),a.o.a,a.o.b),kN(e,a.n.a,a.n.b));if(!cV(uG(oIn(n,nTt),21)))for(h=new Ww(n.j);h.a<h.c.c.length;)for(o=new Ww((s=uG(N3(h),12)).f);o.a<o.c.c.length;)a=uG(N3(o),72),kcn(e=uG(oIn(a,rmt),135),a.o.a),vcn(e,a.o.b),kN(e,a.n.a,a.n.b)}function GQn(n,t){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S;for(t.Ug("Calculate Graph Size",1),t.dh(n,l7n),l=B3n,b=B3n,h=b7n,f=b7n,g=new DD((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a));g.e!=g.i.gc();)v=(w=uG(Zkn(g),27)).i,k=w.j,S=w.g,u=w.f,s=uG(zDn(w,(XYn(),$$t)),140),l=e.Math.min(l,v-s.b),b=e.Math.min(b,k-s.d),h=e.Math.max(h,v+S+s.c),f=e.Math.max(f,k+u+s.a);for(p=new MO(l-(m=uG(zDn(n,(XYn(),W$t)),107)).b,b-m.d),E=h-l+(m.b+m.c),o=f-b+(m.d+m.a),oM(gK(zDn(n,(jOn(),OIt))))&&(y=uG(zDn(n,(SK(),zCt)),27),M=uG(zDn(y,$$t),140),T=y.i+y.g/2+(M.b+M.c)/2-p.a,a=o-(j=y.j+y.f/2+(M.d+M.a)/2-p.b),(c=E-T)<E/2?(E+=i=c-T,p.a-=i):E+=i=T-c,a<o/2?(o+=r=a-j,p.b-=r):o+=r=j-a),d=new DD((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a));d.e!=d.i.gc();)ycn(w=uG(Zkn(d),27),w.i-p.a),Mcn(w,w.j-p.b);oM(gK(zDn(n,H$t)))||(kcn(n,E),vcn(n,o)),Myn(n,h$t,E-(m.b+m.c)),Myn(n,s$t,o-(m.d+m.a)),t.dh(n,w7n)}function qQn(n,t,e){var i,r,c,a,o,u,s,h,f,l;if(n.e.a.$b(),n.f.a.$b(),n.c.c.length=0,n.i.c.length=0,n.g.a.$b(),t)for(a=new Ww(t.a);a.a<a.c.c.length;)for(h=yOn(c=uG(N3(a),10),(KQn(),kRt)).Kc();h.Ob();)for(s=uG(h.Pb(),12),FV(n.e,s),r=new Ww(s.g);r.a<r.c.c.length;)v9(i=uG(N3(r),18))||(kD(n.c,i),Ukn(n,i),((o=i.c.i.k)==(zIn(),dbt)||o==gbt||o==lbt||o==fbt)&&kD(n.j,i),(f=(l=i.d).i.c)==e?FV(n.f,l):f==t?FV(n.e,l):men(n.c,i));if(e)for(a=new Ww(e.a);a.a<a.c.c.length;){for(u=new 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t,e,i,r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k,y,M,T;if((e=uM(pK(oIn(n.a.j,(jYn(),Lyt)))))<-1||!n.a.i||L_(uG(oIn(n.a.o,JMt),101))||Dgn(n.a.o,(KQn(),kRt)).gc()<2&&Dgn(n.a.o,_Rt).gc()<2)return!0;if(n.a.c.kg())return!1;for(k=0,v=0,m=new Zm,u=0,s=(o=n.a.e).length;u<s;++u){for(b=0,d=(l=o[u]).length;b<d;++b)if((f=l[b]).k!=(zIn(),gbt)){for(i=n.b[f.c.p][f.p],f.k==lbt?(i.b=1,uG(oIn(f,(GYn(),rmt)),12).j==(KQn(),kRt)&&(v+=i.a)):(T=Dgn(f,(KQn(),_Rt))).dc()||!_$(T,new Lc)?i.c=1:((r=Dgn(f,kRt)).dc()||!_$(r,new Ac))&&(k+=i.a),a=new Fz(ix(Xgn(f).a.Kc(),new h));hDn(a);)c=uG(N9(a),18),k+=i.c,v+=i.b,rtn(n,i,c.d.i);for(M=new Fz(new YD((g=zcn(Uhn(cT(vat,1),EZn,20,0,[Dgn(f,(KQn(),yRt)),Dgn(f,KRt)]))).a.length,g.a));hDn(M);)y=uG(N9(M),12),(p=uG(oIn(y,(GYn(),lmt)),10))&&(k+=i.c,v+=i.b,rtn(n,i,p))}else mv(m.c,f);for(w=new Ww(m);w.a<w.c.c.length;)for(f=uG(N3(w),10),i=n.b[f.c.p][f.p],a=new Fz(ix(Xgn(f).a.Kc(),new 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Ww(k.f);w.a<w.c.c.length;)gv((f=uG(N3(w),72)).n,k.o.b-f.o.b)}for(d.k==(zIn(),lbt)&&(kfn(d,(GYn(),Fpt),Eun(uG(oIn(d,Fpt),64))),Fdn(d)),l=new Ww(d.b);l.a<l.c.c.length;)DTn(f=uG(N3(l),72)),gv(f.n,m.b-f.o.b)}}function HJn(n,t){var e,i,r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I;for(m=new N4(n.b,0),d=0,s=uG((f=t.Kc()).Pb(),17).a,y=0,e=new ek,T=new XL;m.b<m.d.gc();){for(MK(m.b<m.d.gc()),k=new Ww(uG(m.d.Xb(m.c=m.b++),30).a);k.a<k.c.c.length;){for(w=new Fz(ix(Xgn(v=uG(N3(k),10)).a.Kc(),new h));hDn(w);)l=uG(N9(w),18),T.a.zc(l,T);for(b=new Fz(ix(qgn(v).a.Kc(),new h));hDn(b);)l=uG(N9(b),18),T.a.Bc(l)}if(d+1==s){for(pF(m,r=new bQ(n)),pF(m,c=new bQ(n)),E=T.a.ec().Kc();E.Ob();)j=uG(E.Pb(),18),e.a._b(j)||(++y,e.a.zc(j,e)),kfn(a=new gMn(n),(jYn(),JMt),($Pn(),oRt)),a2(a,r),Hb(a,(zIn(),fbt)),o2(g=new lOn,a),NLn(g,(KQn(),_Rt)),o2(S=new lOn,a),NLn(S,kRt),kfn(i=new gMn(n),JMt,oRt),a2(i,c),Hb(i,fbt),o2(p=new lOn,i),NLn(p,_Rt),o2(P=new lOn,i),NLn(P,kRt),c2(M=new UZ,j.c),u2(M,g),kfn(M,(GYn(),imt),uG(oIn(j,imt),17)),c2(I=new UZ,S),u2(I,p),kfn(I,imt,uG(oIn(j,imt),17)),c2(j,P),o=new O5(a,i,M,I,j),kfn(a,Spt,o),kfn(i,Spt,o),(C=M.c.i).k==fbt&&((u=uG(oIn(C,Spt),313)).d=o,o.g=u);if(!f.Ob())break;s=uG(f.Pb(),17).a}++d}return xwn(y)}function UJn(n){var t,e,i,r,c,a,o,u,s,f,l,b,w,d,g;for(d=new Zm,l=new Ww(n.d.b);l.a<l.c.c.length;)for(w=new Ww(uG(N3(l),30).a);w.a<w.c.c.length;){for(b=uG(N3(w),10),r=uG(cQ(n.f,b),60),u=new Fz(ix(Xgn(b).a.Kc(),new h));hDn(u);)if(s=!0,f=null,(i=Fkn((a=uG(N9(u),18)).a,0)).b!=i.d.c){for(t=uG(I6(i),8),e=null,a.c.j==(KQn(),yRt)&&((g=new Hqn(t,new MO(t.a,r.d.d),r,a)).f.a=!0,g.a=a.c,mv(d.c,g)),a.c.j==KRt&&((g=new Hqn(t,new MO(t.a,r.d.d+r.d.a),r,a)).f.d=!0,g.a=a.c,mv(d.c,g));i.b!=i.d.c;)e=uG(I6(i),8),gcn(t.b,e.b)||(f=new Hqn(t,e,null,a),mv(d.c,f),s&&(s=!1,e.b<r.d.d?f.f.a=!0:e.b>r.d.d+r.d.a?f.f.d=!0:(f.f.d=!0,f.f.a=!0))),i.b!=i.d.c&&(t=e);f&&(c=uG(cQ(n.f,a.d.i),60),t.b<c.d.d?f.f.a=!0:t.b>c.d.d+c.d.a?f.f.d=!0:(f.f.d=!0,f.f.a=!0))}for(o=new Fz(ix(qgn(b).a.Kc(),new h));hDn(o);)0!=(a=uG(N9(o),18)).a.b&&(t=uG(pR(a.a),8),a.d.j==(KQn(),yRt)&&((g=new Hqn(t,new MO(t.a,r.d.d),r,a)).f.a=!0,g.a=a.d,mv(d.c,g)),a.d.j==KRt&&((g=new Hqn(t,new MO(t.a,r.d.d+r.d.a),r,a)).f.d=!0,g.a=a.d,mv(d.c,g)))}return d}function GJn(n,t,e){var i,r,c,a,o,u,s,h,f,l;for(u=new Zm,f=t.length,a=Ffn(e),s=0;s<f;++s){switch(c=(r=khn(i=Ndn(a,(Knn(s,h=cx(t,$Cn(61),s),t.length),t.substr(s,h-s))))).jk().wi(),VJ(t,++h)){case 39:o=aR(t,39,++h),kD(u,new TA(i,LY((Knn(h,o,t.length),t.substr(h,o-h)),c,r))),s=o+1;break;case 34:o=aR(t,34,++h),kD(u,new TA(i,LY((Knn(h,o,t.length),t.substr(h,o-h)),c,r))),s=o+1;break;case 91:kD(u,new TA(i,l=new Zm));n:for(;;){switch(VJ(t,++h)){case 39:o=aR(t,39,++h),kD(l,LY((Knn(h,o,t.length),t.substr(h,o-h)),c,r)),h=o+1;break;case 34:o=aR(t,34,++h),kD(l,LY((Knn(h,o,t.length),t.substr(h,o-h)),c,r)),h=o+1;break;case 110:if(++h,t.indexOf("ull",h)!=h)throw hv(new Ky(Xtt));l.c.push(null),h+=3}if(!(h<f))break;switch(s3(h,t.length),t.charCodeAt(h)){case 44:break;case 93:break n;default:throw hv(new Ky("Expecting , or ]"))}}s=h+1;break;case 110:if(++h,t.indexOf("ull",h)!=h)throw hv(new Ky(Xtt));kD(u,new TA(i,null)),s=h+3}if(!(s<f))break;if(s3(s,t.length),44!=t.charCodeAt(s))throw hv(new Ky("Expecting ,"))}return VFn(n,u,e)}function qJn(n){var t,e,i,r;switch(r=null,n.c){case 6:return n.Em();case 13:return n.Fm();case 23:return n.wm();case 22:return n.Bm();case 18:return n.ym();case 8:EYn(n),QYn(),r=IHt;break;case 9:return n.em(!0);case 19:return n.fm();case 10:switch(n.a){case 100:case 68:case 119:case 87:case 115:case 83:return r=n.dm(n.a),EYn(n),r;case 101:case 102:case 110:case 114:case 116:case 117:case 118:case 120:(t=n.cm())<P0n?(QYn(),QYn(),r=new IX(0,t)):r=mz(Ogn(t));break;case 99:return n.om();case 67:return n.jm();case 105:return n.rm();case 73:return n.km();case 103:return n.pm();case 88:return n.lm();case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:return n.gm();case 80:case 112:if(!(r=PNn(n,n.a)))throw hv(new CM(rZn((t$(),git))));break;default:r=UG(n.a)}EYn(n);break;case 0:if(93==n.a||123==n.a||125==n.a)throw hv(new CM(rZn((t$(),dit))));r=UG(n.a),e=n.a,EYn(n),(64512&e)==C0n&&0==n.c&&56320==(64512&n.a)&&((i=Inn(JHt,N1n,28,2,15,1))[0]=e&D1n,i[1]=n.a&D1n,r=EV(mz(mvn(i,0,i.length)),0),EYn(n));break;default:throw hv(new CM(rZn((t$(),dit))))}return r}function XJn(n,t){var e,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P;for(E=new lS,M=new lS,g=-1,u=new Ww(n);u.a<u.c.c.length;){for((a=uG(N3(u),131)).s=g--,h=0,v=0,c=new Ww(a.t);c.a<c.c.c.length;)v+=(i=uG(N3(c),274)).c;for(r=new Ww(a.i);r.a<r.c.c.length;)h+=(i=uG(N3(r),274)).c;a.n=h,a.u=v,0==v?s8(M,a,M.c.b,M.c):0==h&&s8(E,a,E.c.b,E.c)}for(P=g8(n),d=(f=n.c.length)+1,p=f-1,b=new Zm;0!=P.a.gc();){for(;0!=M.b;)MK(0!=M.b),y=uG(Lrn(M,M.a.a),131),P.a.Bc(y),y.s=p--,Vxn(y,E,M);for(;0!=E.b;)MK(0!=E.b),T=uG(Lrn(E,E.a.a),131),P.a.Bc(T),T.s=d++,Vxn(T,E,M);for(w=j1n,s=P.a.ec().Kc();s.Ob();)(m=(a=uG(s.Pb(),131)).u-a.n)>=w&&(m>w&&(b.c.length=0,w=m),mv(b.c,a));0!=b.c.length&&(l=uG(zq(b,iMn(t,b.c.length)),131),P.a.Bc(l),l.s=d++,Vxn(l,E,M),b.c.length=0)}for(k=n.c.length+1,o=new Ww(n);o.a<o.c.c.length;)(a=uG(N3(o),131)).s<f&&(a.s+=k);for(j=new Ww(n);j.a<j.c.c.length;)for(e=new N4((T=uG(N3(j),131)).t,0);e.b<e.d.gc();)MK(e.b<e.d.gc()),S=(i=uG(e.d.Xb(e.c=e.b++),274)).b,T.s>S.s&&(LQ(e),men(S.i,i),i.c>0&&(i.a=S,kD(S.t,i),i.b=T,kD(T.i,i)))}function zJn(n,t,e,i,r){var c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E;for(w=new R7(t.b),m=new R7(t.b),l=new R7(t.b),M=new R7(t.b),d=new R7(t.b),y=Fkn(t,0);y.b!=y.d.c;)for(o=new Ww((v=uG(I6(y),12)).g);o.a<o.c.c.length;)if((c=uG(N3(o),18)).c.i==c.d.i){if(v.j==c.d.j){mv(M.c,c);continue}if(v.j==(KQn(),yRt)&&c.d.j==KRt){mv(d.c,c);continue}}for(u=new Ww(d);u.a<u.c.c.length;)KUn(n,c=uG(N3(u),18),e,i,(KQn(),kRt));for(a=new Ww(M);a.a<a.c.c.length;)c=uG(N3(a),18),Hb(T=new gMn(n),(zIn(),gbt)),kfn(T,(jYn(),JMt),($Pn(),cRt)),kfn(T,(GYn(),rmt),c),kfn(j=new lOn,rmt,c.d),NLn(j,(KQn(),_Rt)),o2(j,T),kfn(E=new lOn,rmt,c.c),NLn(E,kRt),o2(E,T),kfn(c.c,lmt,T),kfn(c.d,lmt,T),c2(c,null),u2(c,null),mv(e.c,T),kfn(T,Opt,xwn(2));for(k=Fkn(t,0);k.b!=k.d.c;)s=(v=uG(I6(k),12)).e.c.length>0,g=v.g.c.length>0,s&&g?mv(l.c,v):s?mv(w.c,v):g&&mv(m.c,v);for(b=new Ww(w);b.a<b.c.c.length;)kD(r,Xqn(n,uG(N3(b),12),null,e));for(p=new Ww(m);p.a<p.c.c.length;)kD(r,Xqn(n,null,uG(N3(p),12),e));for(f=new Ww(l);f.a<f.c.c.length;)kD(r,Xqn(n,h=uG(N3(f),12),h,e))}function VJn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k;for(b=M0n,w=M0n,f=0,l=0,s=new Zm,u=new DD((!n.b&&(n.b=new fV(aFt,n,12,3)),n.b));u.e!=u.i.gc();)a=uG(Zkn(u),74),s=zcn(Uhn(cT(vat,1),EZn,20,0,[s,(!a.n&&(a.n=new fV(lFt,a,1,7)),a.n)]));for(k=OV(zcn(Uhn(cT(vat,1),EZn,20,0,[(!n.n&&(n.n=new fV(lFt,n,1,7)),n.n),(!n.a&&(n.a=new fV(bFt,n,10,11)),n.a),s])));hDn(k);)v=uG(N9(k),422),h=uG(v.of((XYn(),$$t)),140),b>v.nh()-h.b&&(b=v.nh()-h.b),w>v.oh()-h.d&&(w=v.oh()-h.d),f<v.nh()+v.mh()+h.c&&(f=v.nh()+v.mh()+h.c),l<v.oh()+v.lh()+h.a&&(l=v.oh()+v.lh()+h.a);for(o=new DD((!n.b&&(n.b=new fV(aFt,n,12,3)),n.b));o.e!=o.i.gc();)for(m=new DD((!(a=uG(Zkn(o),74)).a&&(a.a=new fV(oFt,a,6,6)),a.a));m.e!=m.i.gc();)for(d=(p=uG(Zkn(m),166)).j,r=p.b,g=p.k,c=p.c,b=e.Math.min(b,d),b=e.Math.min(b,r),f=e.Math.max(f,d),f=e.Math.max(f,r),w=e.Math.min(w,g),w=e.Math.min(w,c),l=e.Math.max(l,g),l=e.Math.max(l,c),i=new DD((!p.a&&(p.a=new MD(eFt,p,5)),p.a));i.e!=i.i.gc();)t=uG(Zkn(i),377),b=e.Math.min(b,t.a),f=e.Math.max(f,t.a),w=e.Math.min(w,t.b),l=e.Math.max(l,t.b);Myn(n,(XYn(),h$t),f-b),Myn(n,s$t,l-w)}function WJn(n,t,e){var i,r,c,a,o,u,s;if(e.Ug("Network simplex node placement",1),n.e=t,n.n=uG(oIn(t,(GYn(),kmt)),312),Pzn(n),vPn(n),kS(sin(new fX(null,new h3(n.e.b,16)),new _c),new hp(n)),kS(JJ(sin(JJ(sin(new fX(null,new h3(n.e.b,16)),new Zc),new na),new ta),new ea),new sp(n)),oM(gK(oIn(n.e,(jYn(),OMt))))&&((c=e.eh(1)).Ug("Straight Edges Pre-Processing",1),HWn(n),c.Vg()),uMn(n.f),r=uG(oIn(t,OTt),17).a*n.f.a.c.length,YHn(kT(yT(_B(n.f),r),!1),e.eh(1)),0!=n.d.a.gc()){for((c=e.eh(1)).Ug("Flexible Where Space Processing",1),a=uG(yx(Qz(YJ(new fX(null,new h3(n.f.a,16)),new Bc),new $c)),17).a,o=uG(yx(Wz(YJ(new fX(null,new h3(n.f.a,16)),new Hc),new Dc)),17).a-a,u=jx(new sk,n.f),s=jx(new sk,n.f),RKn(xS(DS($S(RS(new uk,2e4),o),u),s)),kS(JJ(JJ(BV(n.i),new Uc),new Gc),new dY(a,u,o,s)),i=n.d.a.ec().Kc();i.Ob();)uG(i.Pb(),218).g=1;YHn(kT(yT(_B(n.f),r),!1),c.eh(1)),c.Vg()}oM(gK(oIn(t,OMt)))&&((c=e.eh(1)).Ug("Straight Edges Post-Processing",1),fAn(n),c.Vg()),dWn(n),n.e=null,n.f=null,n.i=null,n.c=null,$V(n.k),n.j=null,n.a=null,n.o=null,n.d.a.$b(),e.Vg()}function QJn(n,t,i){var r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k;for(i.Ug("Depth first model order layering",1),n.d=t,m=new Zm,p=new Ww(n.d.a);p.a<p.c.c.length;)(d=uG(N3(p),10)).k==(zIn(),dbt)&&mv(m.c,d);for(hZ(),f$(m,new Ec),o=!0,n.b=new bQ(n.d),n.a=null,kD(n.d.b,n.b),n.b.p=0,n.c=0,n.f=new lS,g=new Ww(m);g.a<g.c.c.length;)if(d=uG(N3(g),10),o)a2(d,n.b),o=!1;else if(Lqn(n,d))if(r=(w=Pyn(w=n.c,d))+2,l=w-n.c,0==n.f.b)O_n(n,r,d);else if(l>0){for(k=Fkn(n.f,0);k.b!=k.d.c;)uG(I6(k),10).p+=w-n.e;kAn(n),BY(n.f),O_n(n,r,d)}else{for(aq(n.f,d),d.p=r,n.e=e.Math.max(n.e,r),a=new Fz(ix(qgn(d).a.Kc(),new h));hDn(a);)(c=uG(N9(a),18)).c.i.c||c.c.i.k!=(zIn(),bbt)||(aq(n.f,c.c.i),c.c.i.p=r-1);n.c=r}else kAn(n),BY(n.f),r=0,hDn(new Fz(ix(qgn(d).a.Kc(),new h)))?O_n(n,r=(w=Pyn(w=0,d))+2,d):(aq(n.f,d),d.p=0,n.e=e.Math.max(n.e,0),n.b=uG(zq(n.d.b,0),30),n.c=0);for(0==n.f.b||kAn(n),n.d.a.c.length=0,v=new Zm,f=new Ww(n.d.b);f.a<f.c.c.length;)0==(u=uG(N3(f),30)).a.c.length&&mv(v.c,u);for(dgn(n.d.b,v),b=0,s=new Ww(n.d.b);s.a<s.c.c.length;)(u=uG(N3(s),30)).p=b,++b;i.Vg()}function JJn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b;if(s=t,Gan(u=D5(n,d5(e),s),k6(s,Iet)),h=uG(dcn(n.g,fNn(v0(s,set))),27),i=null,(a=v0(s,"sourcePort"))&&(i=fNn(a)),f=uG(dcn(n.j,i),123),!h)throw hv(new SM("An edge must have a source node (edge id: '"+jvn(s)+$et));if(f&&!xQ(h0(f),h))throw hv(new SM("The source port of an edge must be a port of the edge's source node (edge id: '"+k6(s,Iet)+$et));if(!u.b&&(u.b=new f_(cFt,u,4,7)),ttn(u.b,f||h),l=uG(dcn(n.g,fNn(v0(s,Ret))),27),r=null,(o=v0(s,"targetPort"))&&(r=fNn(o)),b=uG(dcn(n.j,r),123),!l)throw hv(new SM("An edge must have a target node (edge id: '"+jvn(s)+$et));if(b&&!xQ(h0(b),l))throw hv(new SM("The target port of an edge must be a port of the edge's target node (edge id: '"+k6(s,Iet)+$et));if(!u.c&&(u.c=new f_(cFt,u,5,8)),ttn(u.c,b||l),0==(!u.b&&(u.b=new f_(cFt,u,4,7)),u.b).i||0==(!u.c&&(u.c=new f_(cFt,u,5,8)),u.c).i)throw c=k6(s,Iet),hv(new SM(Net+c+$et));return fCn(s,u),ZDn(s,u),qfn(n,s,u)}function YJn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I;for(b=uG(oIn(n,(mon(),Wft)),27),m=vZn,v=vZn,g=j1n,p=j1n,y=new Ww(n.e);y.a<y.c.c.length;)S=(k=uG(N3(y),153)).d,P=k.e,m=e.Math.min(m,S.a-P.a/2),v=e.Math.min(v,S.b-P.b/2),g=e.Math.max(g,S.a+P.a/2),p=e.Math.max(p,S.b+P.b/2);for(i=new Ww(n.b);i.a<i.c.c.length;)S=(t=uG(N3(i),250)).d,P=t.e,m=e.Math.min(m,S.a-P.a/2),v=e.Math.min(v,S.b-P.b/2),g=e.Math.max(g,S.a+P.a/2),p=e.Math.max(p,S.b+P.b/2);for(j=new MO((E=uG(zDn(b,(cGn(),Oft)),107)).b-m,E.d-v),h=new Ww(n.e);h.a<h.c.c.length;)F$(T=oIn(s=uG(N3(h),153),Wft),207)&&kN(w=uG(T,27),(M=JF(new eN(s.d),j)).a-w.g/2,M.b-w.f/2);for(a=new Ww(n.c);a.a<a.c.c.length;)c=uG(N3(a),289),l=JFn(uG(oIn(c,Wft),74),!0,!0),JF(C=new eN(Vcn(c)),j),MN(l,C.a,C.b),Prn(c.a,new bC(j,l)),JF(r=new eN(Wcn(c)),j),yN(l,r.a,r.b);for(u=new Ww(n.d);u.a<u.c.c.length;)o=uG(N3(u),453),kN(uG(oIn(o,Wft),135),(d=JF(new eN(o.d),j)).a,d.b);I=g-m+(E.b+E.c),f=p-v+(E.d+E.a),oM(gK(zDn(b,(XYn(),H$t))))||ZQn(b,I,f,!1,!0),Myn(b,h$t,I-(E.b+E.c)),Myn(b,s$t,f-(E.d+E.a))}function ZJn(n,t){var e,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S;return f=xGn(Ax(n,(KQn(),SRt)),t),w=UTn(Ax(n,PRt),t),k=UTn(Ax(n,DRt),t),j=GTn(Ax(n,RRt),t),l=GTn(Ax(n,MRt),t),m=UTn(Ax(n,$Rt),t),d=UTn(Ax(n,CRt),t),M=UTn(Ax(n,xRt),t),y=UTn(Ax(n,TRt),t),E=GTn(Ax(n,ERt),t),p=UTn(Ax(n,LRt),t),v=UTn(Ax(n,ARt),t),T=UTn(Ax(n,jRt),t),S=GTn(Ax(n,NRt),t),b=GTn(Ax(n,IRt),t),g=UTn(Ax(n,ORt),t),e=Trn(Uhn(cT(eUt,1),I0n,28,15,[m.a,j.a,M.a,S.a])),i=Trn(Uhn(cT(eUt,1),I0n,28,15,[w.a,f.a,k.a,g.a])),r=p.a,c=Trn(Uhn(cT(eUt,1),I0n,28,15,[d.a,l.a,y.a,b.a])),s=Trn(Uhn(cT(eUt,1),I0n,28,15,[m.b,w.b,d.b,v.b])),u=Trn(Uhn(cT(eUt,1),I0n,28,15,[j.b,f.b,l.b,g.b])),h=E.b,o=Trn(Uhn(cT(eUt,1),I0n,28,15,[M.b,k.b,y.b,T.b])),utn(Ax(n,SRt),e+r,s+h),utn(Ax(n,ORt),e+r,s+h),utn(Ax(n,PRt),e+r,0),utn(Ax(n,DRt),e+r,s+h+u),utn(Ax(n,RRt),0,s+h),utn(Ax(n,MRt),e+r+i,s+h),utn(Ax(n,CRt),e+r+i,0),utn(Ax(n,xRt),0,s+h+u),utn(Ax(n,TRt),e+r+i,s+h+u),utn(Ax(n,ERt),0,s),utn(Ax(n,LRt),e,0),utn(Ax(n,jRt),0,s+h+u),utn(Ax(n,IRt),e+r+i,0),(a=new sj).a=Trn(Uhn(cT(eUt,1),I0n,28,15,[e+i+r+c,E.a,v.a,T.a])),a.b=Trn(Uhn(cT(eUt,1),I0n,28,15,[s+u+h+o,p.b,S.b,b.b])),a}function nYn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T;for(d=new MO(M0n,M0n),t=new MO(T0n,T0n),y=new Ww(n);y.a<y.c.c.length;)k=uG(N3(y),8),d.a=e.Math.min(d.a,k.a),d.b=e.Math.min(d.b,k.b),t.a=e.Math.max(t.a,k.a),t.b=e.Math.max(t.b,k.b);for(s=new MO(t.a-d.a,t.b-d.b),h=new gqn(new MO(d.a-50,d.b-s.a-50),new MO(d.a-50,t.b+s.a+50),new MO(t.a+s.b/2+50,d.b+s.b/2)),v=new ek,c=new Zm,i=new Zm,v.a.zc(h,v),T=new Ww(n);T.a<T.c.c.length;){for(M=uG(N3(T),8),c.c.length=0,m=v.a.ec().Kc();m.Ob();)atn((g=uG(m.Pb(),317)).d,g.a),Fgn(atn(g.d,M),atn(g.d,g.a))<0&&mv(c.c,g);for(i.c.length=0,p=new Ww(c);p.a<p.c.c.length;)for(b=new Ww((g=uG(N3(p),317)).e);b.a<b.c.c.length;){for(f=uG(N3(b),177),a=!0,u=new Ww(c);u.a<u.c.c.length;)(o=uG(N3(u),317))!=g&&(OJ(f,zq(o.e,0))||OJ(f,zq(o.e,1))||OJ(f,zq(o.e,2)))&&(a=!1);a&&mv(i.c,f)}for(zCn(v,c),z8(v,new ln),l=new Ww(i);l.a<l.c.c.length;)FV(v,new gqn(M,(f=uG(N3(l),177)).a,f.b))}for(z8(v,new Pd(w=new ek)),r=w.a.ec().Kc();r.Ob();)(Den(h,(f=uG(r.Pb(),177)).a)||Den(h,f.b))&&r.Qb();return z8(w,new bn),w}function tYn(){tYn=E,pj(),VKt=RKt.a,uG(zrn(gZ(RKt.a),0),19),HKt=RKt.f,uG(zrn(gZ(RKt.f),0),19),uG(zrn(gZ(RKt.f),1),35),zKt=RKt.n,uG(zrn(gZ(RKt.n),0),35),uG(zrn(gZ(RKt.n),1),35),uG(zrn(gZ(RKt.n),2),35),uG(zrn(gZ(RKt.n),3),35),UKt=RKt.g,uG(zrn(gZ(RKt.g),0),19),uG(zrn(gZ(RKt.g),1),35),FKt=RKt.c,uG(zrn(gZ(RKt.c),0),19),uG(zrn(gZ(RKt.c),1),19),GKt=RKt.i,uG(zrn(gZ(RKt.i),0),19),uG(zrn(gZ(RKt.i),1),19),uG(zrn(gZ(RKt.i),2),19),uG(zrn(gZ(RKt.i),3),19),uG(zrn(gZ(RKt.i),4),35),qKt=RKt.j,uG(zrn(gZ(RKt.j),0),19),_Kt=RKt.d,uG(zrn(gZ(RKt.d),0),19),uG(zrn(gZ(RKt.d),1),19),uG(zrn(gZ(RKt.d),2),19),uG(zrn(gZ(RKt.d),3),19),uG(zrn(gZ(RKt.d),4),35),uG(zrn(gZ(RKt.d),5),35),uG(zrn(gZ(RKt.d),6),35),uG(zrn(gZ(RKt.d),7),35),KKt=RKt.b,uG(zrn(gZ(RKt.b),0),35),uG(zrn(gZ(RKt.b),1),35),BKt=RKt.e,uG(zrn(gZ(RKt.e),0),35),uG(zrn(gZ(RKt.e),1),35),uG(zrn(gZ(RKt.e),2),35),uG(zrn(gZ(RKt.e),3),35),uG(zrn(gZ(RKt.e),4),19),uG(zrn(gZ(RKt.e),5),19),uG(zrn(gZ(RKt.e),6),19),uG(zrn(gZ(RKt.e),7),19),uG(zrn(gZ(RKt.e),8),19),uG(zrn(gZ(RKt.e),9),19),uG(zrn(gZ(RKt.e),10),35),XKt=RKt.k,uG(zrn(gZ(RKt.k),0),35),uG(zrn(gZ(RKt.k),1),35)}function eYn(n){var t,e,i,r,c;switch(t=n.c){case 11:return n.vm();case 12:return n.xm();case 14:return n.zm();case 15:return n.Cm();case 16:return n.Am();case 17:return n.Dm();case 21:return EYn(n),QYn(),QYn(),OHt;case 10:switch(n.a){case 65:return n.hm();case 90:return n.mm();case 122:return n.tm();case 98:return n.nm();case 66:return n.im();case 60:return n.sm();case 62:return n.qm()}}switch(c=qJn(n),t=n.c){case 3:return n.Im(c);case 4:return n.Gm(c);case 5:return n.Hm(c);case 0:if(123==n.a&&n.d<n.j){if(r=n.d,i=0,e=-1,!((t=VJ(n.i,r++))>=48&&t<=57))throw hv(new CM(rZn((t$(),Nit))));for(i=t-48;r<n.j&&(t=VJ(n.i,r++))>=48&&t<=57;)if((i=10*i+t-48)<0)throw hv(new CM(rZn((t$(),Rit))));if(e=i,44==t){if(r>=n.j)throw hv(new CM(rZn((t$(),Dit))));if((t=VJ(n.i,r++))>=48&&t<=57){for(e=t-48;r<n.j&&(t=VJ(n.i,r++))>=48&&t<=57;)if((e=10*e+t-48)<0)throw hv(new CM(rZn((t$(),Rit))));if(i>e)throw hv(new CM(rZn((t$(),xit))))}else e=-1}if(125!=t)throw hv(new CM(rZn((t$(),$it))));n.bm(r)?(QYn(),QYn(),c=new n8(9,c),n.d=r+1):(QYn(),QYn(),c=new n8(3,c),n.d=r),c.Om(i),c.Nm(e),EYn(n)}}return c}function iYn(n){var t,e,i;switch(e=uG(oIn(n,(GYn(),Hpt)),21),t=aN(klt),uG(oIn(n,(jYn(),rMt)),346)==(Own(),Ixt)&&gsn(t,ylt),oM(gK(oIn(n,eMt)))?Aq(t,(uIn(),Tlt),(zYn(),Iwt)):Aq(t,(uIn(),Elt),(zYn(),Iwt)),null!=oIn(n,(K7(),jNt))&&gsn(t,Mlt),(oM(gK(oIn(n,fMt)))||oM(gK(oIn(n,iMt))))&&wz(t,(uIn(),Plt),(zYn(),Ubt)),uG(oIn(n,Byt),88).g){case 2:case 3:case 4:wz(Aq(t,(uIn(),Tlt),(zYn(),qbt)),Plt,Gbt)}switch(e.Hc((r_n(),Zgt))&&wz(Aq(Aq(t,(uIn(),Tlt),(zYn(),Hbt)),Slt,_bt),Plt,Bbt),xA(oIn(n,yMt))!==xA((THn(),$jt))&&Aq(t,(uIn(),Elt),(zYn(),ywt)),e.Hc(apt)&&(Aq(t,(uIn(),Tlt),(zYn(),Pwt)),Aq(t,jlt,Ewt),Aq(t,Elt,Swt)),xA(oIn(n,vyt))!==xA((RIn(),Vgt))&&xA(oIn(n,Vyt))!==xA((_gn(),sxt))&&wz(t,(uIn(),Plt),(zYn(),rwt)),oM(gK(oIn(n,aMt)))&&Aq(t,(uIn(),Elt),(zYn(),iwt)),oM(gK(oIn(n,Ryt)))&&Aq(t,(uIn(),Elt),(zYn(),Dwt)),CRn(n)&&(i=(xA(oIn(n,rMt))===xA(Ixt)?uG(oIn(n,Oyt),298):uG(oIn(n,Ayt),298))==(ihn(),fpt)?(zYn(),jwt):(zYn(),Kwt),Aq(t,(uIn(),Slt),i)),uG(oIn(n,qTt),388).g){case 1:Aq(t,(uIn(),Slt),(zYn(),xwt));break;case 2:wz(Aq(Aq(t,(uIn(),Elt),(zYn(),xbt)),Slt,Rbt),Plt,Kbt)}return xA(oIn(n,Syt))!==xA((yvn(),Fjt))&&Aq(t,(uIn(),Elt),(zYn(),Rwt)),t}function rYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v;if(PV(n.a,t)){if(cS(uG(cQ(n.a,t),49),e))return 1}else vJ(n.a,t,new ek);if(PV(n.a,e)){if(cS(uG(cQ(n.a,e),49),t))return-1}else vJ(n.a,e,new ek);if(PV(n.e,t)){if(cS(uG(cQ(n.e,t),49),e))return-1}else vJ(n.e,t,new ek);if(PV(n.e,e)){if(cS(uG(cQ(n.a,e),49),t))return 1}else vJ(n.e,e,new ek);if(n.c==(yvn(),_jt)||!vR(t,(GYn(),imt))||!vR(e,(GYn(),imt))){for(f=null,s=new Ww(t.j);s.a<s.c.c.length;)0==(o=uG(N3(s),12)).e.c.length||uG(zq(o.e,0),18).c.i.c!=t.c&&(f=uG(zq(o.e,0),18).c);for(b=null,u=new Ww(e.j);u.a<u.c.c.length;)0==(o=uG(N3(u),12)).e.c.length||uG(zq(o.e,0),18).c.i.c!=e.c&&(b=uG(zq(o.e,0),18).c);if(f&&b){if(h=f.i,l=b.i,h&&h==l){for(d=new Ww(h.j);d.a<d.c.c.length;){if((w=uG(N3(d),12))==f)return uHn(n,e,t),-1;if(w==b)return uHn(n,t,e),1}return d$(_Sn(n,t),_Sn(n,e))}for(m=0,v=(p=n.d).length;m<v;++m){if((g=p[m])==h)return uHn(n,e,t),-1;if(g==l)return uHn(n,t,e),1}}if(!vR(t,(GYn(),imt))||!vR(e,imt))return(r=_Sn(n,t))>(a=_Sn(n,e))?uHn(n,t,e):uHn(n,e,t),r<a?-1:r>a?1:0}return(i=uG(oIn(t,(GYn(),imt)),17).a)>(c=uG(oIn(e,imt),17).a)?uHn(n,t,e):uHn(n,e,t),i<c?-1:i>c?1:0}function cYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d;if(null==e)return null;if(n.a!=t.jk())throw hv(new vM(tet+t.xe()+eet));if(F$(t,468)){if(!(d=y_n(uG(t,685),e)))throw hv(new vM(iet+e+"' is not a valid enumerator of '"+t.xe()+"'"));return d}switch(tdn((gAn(),kBt),t).Nl()){case 2:e=yXn(e,!1);break;case 3:e=yXn(e,!0)}if(i=tdn(kBt,t).Jl())return i.jk().wi().ti(i,e);if(f=tdn(kBt,t).Ll()){for(d=new Zm,s=0,h=(u=Fln(e)).length;s<h;++s)o=u[s],kD(d,f.jk().wi().ti(f,o));return d}if(!(w=tdn(kBt,t).Ml()).dc()){for(b=w.Kc();b.Ob();){l=uG(b.Pb(),156);try{if(null!=(d=l.jk().wi().ti(l,e)))return d}catch(g){if(!F$(g=Ehn(g),63))throw hv(g)}}throw hv(new vM(iet+e+"' does not match any member types of the union datatype '"+t.xe()+"'"))}if(uG(t,847).ok(),!(r=jbn(t.kk())))return null;if(r==hot){c=0;try{c=vUn(e,j1n,vZn)&D1n}catch(g){if(!F$(g=Ehn(g),130))throw hv(g);c=_en(e)[0]}return Hsn(c)}if(r==iot){for(a=0;a<QKt.length;++a)try{return dP(QKt[a],e)}catch(g){if(!F$(g=Ehn(g),33))throw hv(g)}throw hv(new vM(iet+e+"' is not a date formatted string of the form yyyy-MM-dd'T'HH:mm:ss'.'SSSZ or a valid subset thereof"))}throw hv(new vM(iet+e+"' is invalid. "))}function aYn(){aYn=E,UNn(Jlt=new K1,(KQn(),SRt),ORt),UNn(Jlt,RRt,ORt),UNn(Jlt,RRt,NRt),UNn(Jlt,MRt,IRt),UNn(Jlt,MRt,ORt),UNn(Jlt,PRt,ORt),UNn(Jlt,PRt,ARt),UNn(Jlt,DRt,jRt),UNn(Jlt,DRt,ORt),UNn(Jlt,LRt,ERt),UNn(Jlt,LRt,ORt),UNn(Jlt,LRt,ARt),UNn(Jlt,LRt,jRt),UNn(Jlt,ERt,LRt),UNn(Jlt,ERt,NRt),UNn(Jlt,ERt,IRt),UNn(Jlt,ERt,ORt),UNn(Jlt,$Rt,$Rt),UNn(Jlt,$Rt,ARt),UNn(Jlt,$Rt,NRt),UNn(Jlt,CRt,CRt),UNn(Jlt,CRt,ARt),UNn(Jlt,CRt,IRt),UNn(Jlt,xRt,xRt),UNn(Jlt,xRt,jRt),UNn(Jlt,xRt,NRt),UNn(Jlt,TRt,TRt),UNn(Jlt,TRt,jRt),UNn(Jlt,TRt,IRt),UNn(Jlt,ARt,PRt),UNn(Jlt,ARt,LRt),UNn(Jlt,ARt,$Rt),UNn(Jlt,ARt,CRt),UNn(Jlt,ARt,ORt),UNn(Jlt,ARt,ARt),UNn(Jlt,ARt,NRt),UNn(Jlt,ARt,IRt),UNn(Jlt,jRt,DRt),UNn(Jlt,jRt,LRt),UNn(Jlt,jRt,xRt),UNn(Jlt,jRt,TRt),UNn(Jlt,jRt,jRt),UNn(Jlt,jRt,NRt),UNn(Jlt,jRt,IRt),UNn(Jlt,jRt,ORt),UNn(Jlt,NRt,RRt),UNn(Jlt,NRt,ERt),UNn(Jlt,NRt,$Rt),UNn(Jlt,NRt,xRt),UNn(Jlt,NRt,ARt),UNn(Jlt,NRt,jRt),UNn(Jlt,NRt,NRt),UNn(Jlt,NRt,ORt),UNn(Jlt,IRt,MRt),UNn(Jlt,IRt,ERt),UNn(Jlt,IRt,CRt),UNn(Jlt,IRt,TRt),UNn(Jlt,IRt,ARt),UNn(Jlt,IRt,jRt),UNn(Jlt,IRt,IRt),UNn(Jlt,IRt,ORt),UNn(Jlt,ORt,SRt),UNn(Jlt,ORt,RRt),UNn(Jlt,ORt,MRt),UNn(Jlt,ORt,PRt),UNn(Jlt,ORt,DRt),UNn(Jlt,ORt,LRt),UNn(Jlt,ORt,ERt),UNn(Jlt,ORt,ARt),UNn(Jlt,ORt,jRt),UNn(Jlt,ORt,NRt),UNn(Jlt,ORt,IRt),UNn(Jlt,ORt,ORt)}function oYn(n,t,i){var r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j;for(n.d=new MO(M0n,M0n),n.c=new MO(T0n,T0n),l=t.Kc();l.Ob();)for(v=new Ww(uG(l.Pb(),36).a);v.a<v.c.c.length;)m=uG(N3(v),10),n.d.a=e.Math.min(n.d.a,m.n.a-m.d.b),n.d.b=e.Math.min(n.d.b,m.n.b-m.d.d),n.c.a=e.Math.max(n.c.a,m.n.a+m.o.a+m.d.c),n.c.b=e.Math.max(n.c.b,m.n.b+m.o.b+m.d.a);for(u=new bk,f=t.Kc();f.Ob();)r=CJn(n,uG(f.Pb(),36)),kD(u.a,r),r.a=r.a|!uG(oIn(r.c,(GYn(),xpt)),21).dc();for(n.b=(Mbn(),(j=new vt).f=new $an(i),j.b=PVn(j.f,u),j),qVn((w=n.b,new fy,w)),n.e=new sj,n.a=n.b.f.e,o=new Ww(u.a);o.a<o.c.c.length;)for(c=uG(N3(o),855),k=Q1(n.b,c),eHn(c.c,k.a,k.b),g=new Ww(c.c.a);g.a<g.c.c.length;)(d=uG(N3(g),10)).k==(zIn(),lbt)&&(p=nRn(n,d.n,uG(oIn(d,(GYn(),Fpt)),64)),JF(dL(d.n),p));for(a=new Ww(u.a);a.a<a.c.c.length;)for(h=new Ww(cgn(c=uG(N3(a),855)));h.a<h.c.c.length;)for(sR(T=new tj((s=uG(N3(h),18)).a),0,n3(s.c)),aq(T,n3(s.d)),b=null,M=Fkn(T,0);M.b!=M.d.c;)y=uG(I6(M),8),b?(xrn(b.a,y.a)?(n.e.a=e.Math.min(n.e.a,b.a),n.a.a=e.Math.max(n.a.a,b.a)):xrn(b.b,y.b)&&(n.e.b=e.Math.min(n.e.b,b.b),n.a.b=e.Math.max(n.a.b,b.b)),b=y):b=y;BR(n.e),JF(n.a,n.e)}function uYn(n,t){var e,i,r,c,a,o,u,s;if(e=0,a=0,c=t.length,o=null,s=new QM,a<c&&(s3(a,t.length),43==t.charCodeAt(a))&&(++e,++a<c&&(s3(a,t.length),43==t.charCodeAt(a)||(s3(a,t.length),45==t.charCodeAt(a)))))throw hv(new ZM(y0n+t+'"'));for(;a<c&&(s3(a,t.length),46!=t.charCodeAt(a))&&(s3(a,t.length),101!=t.charCodeAt(a))&&(s3(a,t.length),69!=t.charCodeAt(a));)++a;if(s.a+=""+r1(null==t?IZn:(tJ(t),t),e,a),a<c&&(s3(a,t.length),46==t.charCodeAt(a))){for(e=++a;a<c&&(s3(a,t.length),101!=t.charCodeAt(a))&&(s3(a,t.length),69!=t.charCodeAt(a));)++a;n.e=a-e,s.a+=""+r1(null==t?IZn:(tJ(t),t),e,a)}else n.e=0;if(a<c&&(s3(a,t.length),101==t.charCodeAt(a)||(s3(a,t.length),69==t.charCodeAt(a)))&&(e=++a,a<c&&(s3(a,t.length),43==t.charCodeAt(a))&&++a<c&&(s3(a,t.length),45!=t.charCodeAt(a))&&++e,Knn(e,c,t.length),o=t.substr(e,c-e),n.e=n.e-vUn(o,j1n,vZn),n.e!=t0(n.e)))throw hv(new ZM("Scale out of range."));if((u=s.a).length<16){if(n.f=(null==Not&&(Not=new RegExp("^[+-]?\\d*$","i")),Not.test(u)?parseInt(u,10):NaN),isNaN(n.f))throw hv(new ZM(y0n+t+'"'));n.a=VLn(n.f)}else rdn(n,new PN(u));for(n.d=s.a.length,r=0;r<s.a.length&&(45==(i=VJ(s.a,r))||48==i);++r)--n.d;0==n.d&&(n.d=1)}function sYn(n){Hxn(n.b,Drt,Uhn(cT($ot,1),zZn,2,6,[Rrt,"ConsistentTransient"])),Hxn(n.a,Drt,Uhn(cT($ot,1),zZn,2,6,[Rrt,"WellFormedSourceURI"])),Hxn(n.o,Drt,Uhn(cT($ot,1),zZn,2,6,[Rrt,"InterfaceIsAbstract AtMostOneID UniqueFeatureNames UniqueOperationSignatures NoCircularSuperTypes WellFormedMapEntryClass ConsistentSuperTypes 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i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y;if(!t.dc()){if(r=new Uk,f=(a=e||uG(t.Xb(0),18)).c,uFn(),(s=f.i.k)!=(zIn(),dbt)&&s!=gbt&&s!=lbt&&s!=fbt)throw hv(new vM("The target node of the edge must be a normal node or a northSouthPort."));for(cL(r,Gfn(Uhn(cT(PNt,1),zZn,8,0,[f.i.n,f.n,f.a]))),(KQn(),LRt).Hc(f.j)&&(b=uM(pK(oIn(f,(GYn(),Mmt)))),s8(r,new MO(Gfn(Uhn(cT(PNt,1),zZn,8,0,[f.i.n,f.n,f.a])).a,b),r.c.b,r.c)),u=null,i=!1,o=t.Kc();o.Ob();)0!=(c=uG(o.Pb(),18).a).b&&(i?(s8(r,vD(JF(u,(MK(0!=c.b),uG(c.a.a.c,8))),.5),r.c.b,r.c),i=!1):i=!0,u=D$((MK(0!=c.b),uG(c.c.b.c,8))),Qon(r,c),BY(c));l=a.d,LRt.Hc(l.j)&&(b=uM(pK(oIn(l,(GYn(),Mmt)))),s8(r,new MO(Gfn(Uhn(cT(PNt,1),zZn,8,0,[l.i.n,l.n,l.a])).a,b),r.c.b,r.c)),cL(r,Gfn(Uhn(cT(PNt,1),zZn,8,0,[l.i.n,l.n,l.a]))),n.d==(kbn(),sEt)&&(MK(0!=r.b),w=uG(r.a.a.c,8),d=uG(hyn(r,1),8),(g=new O2(Tln(f.j))).a*=5,g.b*=5,p=YF(new MO(d.a,d.b),w),JF(m=new MO(C0(g.a,p.a),C0(g.b,p.b)),w),lW(Fkn(r,1),m),MK(0!=r.b),v=uG(r.c.b.c,8),k=uG(hyn(r,r.b-2),8),(g=new O2(Tln(l.j))).a*=5,g.b*=5,p=YF(new MO(k.a,k.b),v),JF(y=new MO(C0(g.a,p.a),C0(g.b,p.b)),v),sR(r,r.b-1,y)),h=new jqn(r),Qon(a.a,$Mn(h))}}function fYn(n,t,i,r){var c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I,O,A,L,N,$,D;if(k=(m=uG(zrn((!n.b&&(n.b=new f_(cFt,n,4,7)),n.b),0),84)).nh(),y=m.oh(),v=m.mh()/2,w=m.lh()/2,F$(m,193)&&(k+=h0(p=uG(m,123)).i,k+=h0(p).i),k+=v,y+=w,C=(S=uG(zrn((!n.b&&(n.b=new f_(cFt,n,4,7)),n.b),0),84)).nh(),I=S.oh(),P=S.mh()/2,M=S.lh()/2,F$(S,193)&&(C+=h0(E=uG(S,123)).i,C+=h0(E).i),C+=P,I+=M,0==(!n.a&&(n.a=new fV(oFt,n,6,6)),n.a).i)gj(),u=new is,ttn((!n.a&&(n.a=new fV(oFt,n,6,6)),n.a),u);else if((!n.a&&(n.a=new fV(oFt,n,6,6)),n.a).i>1)for(b=new Zx((!n.a&&(n.a=new fV(oFt,n,6,6)),n.a));b.e!=b.i.gc();)$Sn(b);for(d=C,C>k+v?d=k+v:C<k-v&&(d=k-v),g=I,I>y+w?g=y+w:I<y-w&&(g=y-w),d>k-v&&d<k+v&&g>y-w&&g<y+w&&(d=k+v),Tcn(o=uG(zrn((!n.a&&(n.a=new fV(oFt,n,6,6)),n.a),0),166),d),Ecn(o,g),T=k,k>C+P?T=C+P:k<C-P&&(T=C-P),j=y,y>I+M?j=I+M:y<I-M&&(j=I-M),T>C-P&&T<C+P&&j>I-M&&j<I+M&&(j=I+M),mcn(o,T),jcn(o,j),Czn((!o.a&&(o.a=new MD(eFt,o,5)),o.a)),a=iMn(t,5),m==S&&++a,A=T-d,$=j-g,h=.20000000298023224*e.Math.sqrt(A*A+$*$),L=A/(a+1),D=$/(a+1),O=d,N=g,s=0;s<a;s++)N+=D,(f=(O+=L)+uRn(t,24)*z0n*h-h/2)<0?f=1:f>i&&(f=i-1),(l=N+uRn(t,24)*z0n*h-h/2)<0?l=1:l>r&&(l=r-1),gj(),Scn(c=new ns,f),pcn(c,l),ttn((!o.a&&(o.a=new MD(eFt,o,5)),o.a),c)}function lYn(n){hP(n,new hCn(FT(DT(KT(RT(new bu,ant),"ELK Rectangle Packing"),"Algorithm for packing of unconnected boxes, i.e. graphs without edges. The given order of the boxes is always preserved and the main reading direction of the boxes is left to right. The algorithm is divided into two phases. One phase approximates the width in which the rectangles can be placed. The next phase places the rectangles in rows using the previously calculated width as bounding width and bundles rectangles with a similar height in blocks. A compaction step reduces the size of the drawing. Finally, the rectangles are expanded to fill their bounding box and eliminate empty unused spaces."),new _o))),U4(n,ant,R3n,1.3),U4(n,ant,d4n,(qx(),!1)),U4(n,ant,K3n,fAt),U4(n,ant,o4n,15),U4(n,ant,r9n,Jkn(WOt)),U4(n,ant,p4n,Jkn(eAt)),U4(n,ant,x4n,Jkn(rAt)),U4(n,ant,g4n,Jkn(cAt)),U4(n,ant,m4n,Jkn(tAt)),U4(n,ant,w4n,Jkn(aAt)),U4(n,ant,v4n,Jkn(lAt)),U4(n,ant,J7n,Jkn(pAt)),U4(n,ant,Y7n,Jkn(gAt)),U4(n,ant,Q7n,Jkn(vAt)),U4(n,ant,W7n,Jkn(mAt)),U4(n,ant,Z7n,Jkn(sAt)),U4(n,ant,nnt,Jkn(uAt)),U4(n,ant,tnt,Jkn(oAt)),U4(n,ant,ent,Jkn(dAt)),U4(n,ant,f4n,Jkn(YOt)),U4(n,ant,g9n,Jkn(ZOt)),U4(n,ant,z7n,Jkn(JOt)),U4(n,ant,X7n,Jkn(QOt)),U4(n,ant,V7n,Jkn(nAt)),U4(n,ant,q7n,Jkn(wAt))}function bYn(n,t){var e,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C;if(pXn(),j=n.e,w=n.d,r=n.a,0==j)switch(t){case 0:return"0";case 1:return N0n;case 2:return"0.00";case 3:return"0.000";case 4:return"0.0000";case 5:return"0.00000";case 6:return"0.000000";default:return(M=new WM).a+=t<0?"0E+":"0E",M.a+=-t,M.a}if(k=Inn(JHt,N1n,28,1+(v=10*w+1+7),15,1),e=v,1==w)if((o=r[0])<0){C=E3(o,L0n);do{d=C,C=bSn(C,10),k[--e]=48+pz($gn(d,Ngn(C,10)))&D1n}while(0!=dwn(C,0))}else{C=o;do{d=C,C=C/10|0,k[--e]=d-10*C+48&D1n}while(0!=C)}else{qGn(r,0,S=Inn(YHt,W1n,28,w,15,1),0,P=w);n:for(;;){for(T=0,s=P-1;s>=0;s--)p=JPn(Lgn(Nz(T,32),E3(S[s],L0n))),S[s]=pz(p),T=pz($z(p,32));m=pz(T),g=e;do{k[--e]=48+m%10&D1n}while(0!=(m=m/10|0)&&0!=e);for(i=9-g+e,u=0;u<i&&e>0;u++)k[--e]=48;for(f=P-1;0==S[f];f--)if(0==f)break n;P=f+1}for(;48==k[e];)++e}if(b=j<0,a=v-e-t-1,0==t)return b&&(k[--e]=45),mvn(k,e,v-e);if(t>0&&a>=-6){if(a>=0){for(h=e+a,l=v-1;l>=h;l--)k[l+1]=k[l];return k[++h]=46,b&&(k[--e]=45),mvn(k,e,v-e+1)}for(f=2;f<1-a;f++)k[--e]=48;return k[--e]=46,k[--e]=48,b&&(k[--e]=45),mvn(k,e,v-e)}return E=e+1,c=v,y=new QM,b&&(y.a+="-"),c-E>=1?(jQ(y,k[e]),y.a+=".",y.a+=mvn(k,e+1,v-e-1)):y.a+=mvn(k,e,v-e),y.a+="E",a>0&&(y.a+="+"),y.a+=""+a,y.a}function wYn(n,t){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y;switch(n.c=t,n.g=new Ym,vP(),Apn(new Ad(new Vy(n.c))),m=mK(zDn(n.c,(fIn(),dLt))),o=uG(zDn(n.c,pLt),324),k=uG(zDn(n.c,mLt),437),c=uG(zDn(n.c,hLt),489),v=uG(zDn(n.c,gLt),438),n.j=uM(pK(zDn(n.c,vLt))),a=n.a,o.g){case 0:a=n.a;break;case 1:a=n.b;break;case 2:a=n.i;break;case 3:a=n.e;break;case 4:a=n.f;break;default:throw hv(new vM(lnt+(null!=o.f?o.f:""+o.g)))}if(n.d=new i0(a,k,c),kfn(n.d,(rsn(),Oht),gK(zDn(n.c,lLt))),n.d.c=oM(gK(zDn(n.c,fLt))),0==wZ(n.c).i)return n.d;for(h=new DD(wZ(n.c));h.e!=h.i.gc();){for(l=(s=uG(Zkn(h),27)).g/2,f=s.f/2,y=new MO(s.i+l,s.j+f);PV(n.g,y);)KR(y,(e.Math.random()-.5)*t4n,(e.Math.random()-.5)*t4n);w=uG(zDn(s,(XYn(),$$t)),140),d=new G0(y,new gY(y.a-l-n.j/2-w.b,y.b-f-n.j/2-w.d,s.g+n.j+(w.b+w.c),s.f+n.j+(w.d+w.a))),kD(n.d.i,d),vJ(n.g,y,new WO(d,s))}switch(v.g){case 0:if(null==m)n.d.d=uG(zq(n.d.i,0),68);else for(p=new Ww(n.d.i);p.a<p.c.c.length;)d=uG(N3(p),68),null!=(b=uG(uG(cQ(n.g,d.a),42).b,27).jh())&&m_(b,m)&&(n.d.d=d);break;case 1:for((i=new MO(n.c.g,n.c.f)).a*=.5,i.b*=.5,KR(i,n.c.i,n.c.j),r=M0n,g=new Ww(n.d.i);g.a<g.c.c.length;)(u=atn((d=uG(N3(g),68)).a,i))<r&&(r=u,n.d.d=d);break;default:throw hv(new vM(lnt+(null!=v.f?v.f:""+v.g)))}return n.d}function dYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g;for(l=0,r=new DD((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));r.e!=r.i.gc();)oM(gK(zDn(i=uG(Zkn(r),27),(jYn(),FMt))))||(xA(zDn(h=R0(i),Syt))===xA((yvn(),Fjt))&&xA(zDn(h,Fyt))!==xA((kvn(),lgt))&&xA(zDn(h,Fyt))!==xA((kvn(),hgt))&&!oM(gK(zDn(h,Cyt)))&&xA(zDn(h,kyt))===xA((Uvn(),tbt))&&xA(zDn(h,yMt))!==xA((THn(),Pjt))&&xA(zDn(h,yMt))!==xA((THn(),Cjt))&&xA(zDn(h,MMt))!==xA((MKn(),JTt))&&xA(zDn(h,MMt))!==xA((MKn(),ZTt))||oM(gK(zDn(i,jyt)))||(Myn(i,(GYn(),imt),xwn(l)),++l),RJn(n,i,e));for(l=0,s=new DD((!t.b&&(t.b=new 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c,a,o,u,s,h,f,l,b,w,d,g,p;for(d=!1,u=!1,l=n+1,u3(n,t.c.length),o=(w=uG(t.c[n],186)).a,s=null,a=0;a<w.a.c.length;a++)if(u3(a,o.c.length),!(c=uG(o.c[a],172)).c)if(0!=c.b.c.length){if(c.k||(s&&OTn(s),oMn(c,(s=new r0(s?s.e+s.d+i:0,w.f,i)).e+s.d,w.f),kD(w.d,s),Gun(s,c),c.k=!0),h=null,p=null,a<w.a.c.length-1?p=uG(zq(w.a,a+1),172):l<t.c.length&&0!=(u3(l,t.c.length),uG(t.c[l],186)).a.c.length&&(p=uG(zq((u3(l,t.c.length),uG(t.c[l],186)).a,0),172)),g=!1,(h=p)&&(g=!udn(h.j,w)),h){if(0==h.b.c.length||oM(gK(uG(zq(h.b,0),27).of((S_n(),nAt))))){uEn(w,h);break}if(dtn(c,e-c.s),OTn(c.q),d|=FIn(w,c,h,e,i),0==h.b.c.length)for(t.c.length>l&&uEn((u3(l,t.c.length),uG(t.c[l],186)),h),h=null;t.c.length>l&&0==(u3(l,t.c.length),uG(t.c[l],186)).a.c.length;)men(t,(u3(l,t.c.length),t.c[l]));if(!h){--a;continue}if(!oM(gK(uG(zq(h.b,0),27).of((S_n(),nAt))))&&HUn(t,w,c,h,g,e,l,i)){d=!0;continue}if(g){if(b=w.b,f=h.f,!oM(gK(uG(zq(h.b,0),27).of(nAt)))&&EVn(t,w,c,h,e,l,i,r)){if(d=!0,b<f){u=!0,h.j=w;break}continue}if(Ybn(w,c)){c.c=!0,d=!0;continue}}else if(Ybn(w,c)){c.c=!0,d=!0;continue}if(d)continue}Ybn(w,c)?(c.c=!0,d=!0,h&&(h.k=!1)):OTn(c.q)}else bS(),String.fromCharCode(10),uEn(w,c),--a,d=!0;return new WO((qx(),!!d),!!u)}function jYn(){jYn=E,XYn(),lTt=jDt,bTt=EDt,wTt=SDt,dTt=PDt,pTt=CDt,mTt=IDt,yTt=ADt,TTt=NDt,jTt=$Dt,MTt=LDt,ETt=DDt,PTt=xDt,ITt=FDt,kTt=ODt,VYn(),fTt=Akt,gTt=Lkt,vTt=Nkt,STt=$kt,cTt=new _N(vDt,xwn(0)),aTt=Ckt,oTt=Ikt,uTt=Okt,qTt=ryt,RTt=Rkt,KTt=_kt,BTt=Vkt,FTt=Ukt,_Tt=qkt,zTt=syt,XTt=ayt,UTt=nyt,HTt=Ykt,GTt=eyt,LMt=vkt,NMt=kkt,Zyt=Ovt,nMt=Nvt,NTt=HDt,DTt=XDt,LTt=BDt,ATt=_Dt,Iwn(),new _N(UDt,$Tt=fKt),BMt=new CN(12),_Mt=new _N(W$t,BMt),_gn(),Vyt=new _N(k$t,Wyt=uxt),QMt=new _N(uDt,0),sTt=new _N(kDt,xwn(1)),dyt=new _N(c$t,r4n),FMt=z$t,JMt=sDt,eTt=gDt,_yt=w$t,byt=i$t,rMt=E$t,hTt=new _N(TDt,(qx(),!0)),sMt=C$t,hMt=I$t,DMt=_$t,KMt=q$t,xMt=H$t,xdn(),Byt=new _N(d$t,Uyt=ZDt),PMt=K$t,SMt=x$t,nTt=bDt,ZMt=lDt,tTt=dDt,Vkn(),new _N(tDt,GMt=tRt),XMt=rDt,zMt=cDt,VMt=aDt,qMt=iDt,xTt=xkt,MMt=rkt,yMt=ekt,OTt=Dkt,gMt=Vvt,Fyt=gvt,Kyt=wvt,Cyt=Jmt,Iyt=Ymt,Ayt=ivt,Oyt=Zmt,Ryt=lvt,jMt=akt,EMt=okt,lMt=Bvt,$Mt=jkt,IMt=fkt,eMt=xvt,AMt=pkt,Jyt=Svt,Yyt=Cvt,Pyt=l$t,CMt=ukt,vyt=Fmt,myt=Rmt,pyt=xmt,aMt=Fvt,cMt=Kvt,oMt=_vt,RMt=U$t,bMt=L$t,tMt=M$t,Xyt=m$t,qyt=p$t,Lyt=avt,YMt=fDt,gyt=f$t,uMt=P$t,WMt=oDt,HMt=J$t,UMt=Z$t,mMt=Jvt,vMt=Zvt,rTt=mDt,wyt=Dmt,kMt=tkt,zyt=Mvt,Gyt=kvt,TMt=$$t,wMt=qvt,OMt=wkt,CTt=RDt,Hyt=mvt,iTt=Skt,Qyt=jvt,Nyt=uvt,$yt=svt,dMt=zvt,Dyt=hvt,fMt=A$t,pMt=Qvt,xyt=fvt,Syt=Wmt,Tyt=qmt,yyt=Umt,Myt=Gmt,jyt=zmt,kyt=Bmt,Eyt=Vmt,iMt=Rvt}function EYn(n){var t,e,i;if(n.d>=n.j)return n.a=-1,void(n.c=1);if(t=VJ(n.i,n.d++),n.a=t,1!=n.b){switch(t){case 124:i=2;break;case 42:i=3;break;case 43:i=4;break;case 63:i=5;break;case 41:i=7;break;case 46:i=8;break;case 91:i=9;break;case 94:i=11;break;case 36:i=12;break;case 40:if(i=6,n.d>=n.j)break;if(63!=VJ(n.i,n.d))break;if(++n.d>=n.j)throw hv(new CM(rZn((t$(),iit))));switch(t=VJ(n.i,n.d++)){case 58:i=13;break;case 61:i=14;break;case 33:i=15;break;case 91:i=19;break;case 62:i=18;break;case 60:if(n.d>=n.j)throw hv(new CM(rZn((t$(),iit))));if(61==(t=VJ(n.i,n.d++)))i=16;else{if(33!=t)throw hv(new CM(rZn((t$(),rit))));i=17}break;case 35:for(;n.d<n.j&&41!=(t=VJ(n.i,n.d++)););if(41!=t)throw hv(new CM(rZn((t$(),cit))));i=21;break;default:if(45==t||97<=t&&t<=122||65<=t&&t<=90){--n.d,i=22;break}if(40==t){i=23;break}throw hv(new CM(rZn((t$(),iit))))}break;case 92:if(i=10,n.d>=n.j)throw hv(new CM(rZn((t$(),eit))));n.a=VJ(n.i,n.d++);break;default:i=0}n.c=i}else{switch(t){case 92:if(i=10,n.d>=n.j)throw hv(new CM(rZn((t$(),eit))));n.a=VJ(n.i,n.d++);break;case 45:512==(512&n.e)&&n.d<n.j&&91==VJ(n.i,n.d)?(++n.d,i=24):i=0;break;case 91:if(512!=(512&n.e)&&n.d<n.j&&58==VJ(n.i,n.d)){++n.d,i=20;break}default:(64512&t)==C0n&&n.d<n.j&&56320==(64512&(e=VJ(n.i,n.d)))&&(n.a=P0n+(t-C0n<<10)+e-56320,++n.d),i=0}n.c=i}}function SYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g;if(e.Ug("Process compaction",1),oM(gK(oIn(t,(QGn(),iCt))))){for(r=uG(oIn(t,cCt),88),b=uM(pK(oIn(t,ECt))),AXn(n,t,r),fJn(t,b/2/2),Lon(w=t.b,new jp(r)),s=Fkn(w,0);s.b!=s.d.c;)if(!oM(gK(oIn(u=uG(I6(s),39),(OQn(),UPt))))){if(i=hBn(u,r),d=mqn(u,t),f=0,l=0,i)switch(g=i.e,r.g){case 2:f=g.a-b-u.f.a,d.e.a-b-u.f.a<f&&(f=d.e.a-b-u.f.a),l=f+u.f.a;break;case 1:f=g.a+i.f.a+b,d.e.a+b>f&&(f=d.e.a+d.f.a+b),l=f+u.f.a;break;case 4:f=g.b-b-u.f.b,d.e.b-b-u.f.b<f&&(f=d.e.b-b-u.f.b),l=f+u.f.b;break;case 3:f=g.b+i.f.b+b,d.e.b+b>f&&(f=d.e.b+d.f.b+b),l=f+u.f.b}else if(d)switch(r.g){case 2:l=(f=d.e.a-b-u.f.a)+u.f.a;break;case 1:l=(f=d.e.a+d.f.a+b)+u.f.a;break;case 4:l=(f=d.e.b-b-u.f.b)+u.f.b;break;case 3:l=(f=d.e.b+d.f.b+b)+u.f.b}xA(oIn(t,uCt))===xA((Pln(),wPt))?(c=f,a=l,null!=(o=lln(JJ(new fX(null,new h3(n.a,16)),new GI(c,a)))).a?r==(xdn(),JDt)||r==YDt?u.e.a=f:u.e.b=f:null!=(o=r==(xdn(),JDt)||r==nxt?lln(JJ(Wrn(new fX(null,new h3(n.a,16))),new Ep(c))):lln(JJ(Wrn(new fX(null,new h3(n.a,16))),new Sp(c)))).a&&(r==JDt||r==YDt?u.e.a=uM(pK((MK(null!=o.a),uG(o.a,42)).a)):u.e.b=uM(pK((MK(null!=o.a),uG(o.a,42)).a))),null!=o.a&&(h=Ten(n.a,(MK(null!=o.a),o.a),0))>0&&h!=uG(oIn(u,ACt),17).a&&(kfn(u,MPt,(qx(),!0)),kfn(u,ACt,xwn(h)))):r==(xdn(),JDt)||r==YDt?u.e.a=f:u.e.b=f}e.Vg()}}function PYn(n){var t,e,i,r,c,a,o,u;for(n.b=1,EYn(n),t=null,0==n.c&&94==n.a?(EYn(n),QYn(),QYn(),HFn(t=new K3(4),0,zct),a=new K3(4)):(QYn(),QYn(),a=new K3(4)),r=!0;1!=(u=n.c);){if(0==u&&93==n.a&&!r){t&&(lWn(t,a),a=t);break}if(e=n.a,i=!1,10==u)switch(e){case 100:case 68:case 119:case 87:case 115:case 83:TXn(a,MUn(e)),i=!0;break;case 105:case 73:case 99:case 67:TXn(a,MUn(e)),(e=-1)<0&&(i=!0);break;case 112:case 80:if(!(o=PNn(n,e)))throw hv(new CM(rZn((t$(),git))));TXn(a,o),i=!0;break;default:e=R_n(n)}else if(24==u&&!r){if(t&&(lWn(t,a),a=t),lWn(a,PYn(n)),0!=n.c||93!=n.a)throw hv(new CM(rZn((t$(),kit))));break}if(EYn(n),!i){if(0==u){if(91==e)throw hv(new CM(rZn((t$(),yit))));if(93==e)throw hv(new CM(rZn((t$(),Mit))));if(45==e&&!r&&93!=n.a)throw hv(new CM(rZn((t$(),Tit))))}if(0!=n.c||45!=n.a||45==e&&r)HFn(a,e,e);else{if(EYn(n),1==(u=n.c))throw hv(new CM(rZn((t$(),mit))));if(0==u&&93==n.a)HFn(a,e,e),HFn(a,45,45);else{if(0==u&&93==n.a||24==u)throw hv(new CM(rZn((t$(),Tit))));if(c=n.a,0==u){if(91==c)throw hv(new CM(rZn((t$(),yit))));if(93==c)throw hv(new CM(rZn((t$(),Mit))));if(45==c)throw hv(new CM(rZn((t$(),Tit))))}else 10==u&&(c=R_n(n));if(EYn(n),e>c)throw hv(new CM(rZn((t$(),Sit))));HFn(a,e,c)}}}r=!1}if(1==n.c)throw hv(new CM(rZn((t$(),mit))));return pxn(a),szn(a),n.b=0,EYn(n),a}function CYn(n,t,e){var i,r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k,y,M;if(e.Ug("Coffman-Graham Layering",1),0!=t.a.c.length){for(M=uG(oIn(t,(jYn(),wMt)),17).a,u=0,a=0,b=new Ww(t.a);b.a<b.c.c.length;)for((l=uG(N3(b),10)).p=u++,c=new Fz(ix(Xgn(l).a.Kc(),new 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h));hDn(c);)r=uG(N9(c),18),n.a[r.p]||(g=r.c.i,--n.e[g.p],0==n.e[g.p]&&kG(_Cn(w,g),D0n));for(s=f.c.length-1;s>=0;--s)kD(t.b,(u3(s,f.c.length),uG(f.c[s],30)));t.a.c.length=0,e.Vg()}else e.Vg()}function IYn(n,t){var e,i,r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k;k=!1;do{for(k=!1,c=t?new Lw(n.a.b).a.gc()-2:1;t?c>=0:c<new Lw(n.a.b).a.gc();c+=t?-1:1)for(r=W6(n.a,xwn(c)),b=0;b<r.b;b++)if(vR(f=uG(hyn(r,b),10),(GYn(),imt))&&!(VSn(n.a,xwn(c))&&n.r==(THn(),Pjt)||WSn(n.a,xwn(c))&&n.r==(THn(),Cjt))){for(v=!0,p=0;p<r.b;p++)vR(g=uG(hyn(r,p),10),imt)&&(t&&uG(oIn(f,imt),17).a<uG(oIn(g,imt),17).a||!t&&uG(oIn(f,imt),17).a>uG(oIn(g,imt),17).a)&&(v=!1);if(v){for(o=t?c+1:c-1,a=!1,m=!0,i=!1,s=Fkn(W6(n.a,xwn(o)),0);s.b!=s.d.c;)vR(u=uG(I6(s),10),imt)?u.p!=f.p&&(a|=t?uG(oIn(u,imt),17).a<uG(oIn(f,imt),17).a:uG(oIn(u,imt),17).a>uG(oIn(f,imt),17).a,m=!1):!a&&m&&u.k==(zIn(),bbt)&&(i=!0,(l=t?uG(N9(new Fz(ix(qgn(u).a.Kc(),new h))),18).c.i:uG(N9(new Fz(ix(Xgn(u).a.Kc(),new h))),18).d.i)==f&&(e=t?uG(N9(new Fz(ix(Xgn(u).a.Kc(),new 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Ww(n);s.a<s.c.c.length;){for(o=uG(N3(s),121),v=0,d=vZn,g=vZn,b=j1n,w=j1n,m=Fkn(o.b,0);m.b!=m.d.c;)p=uG(I6(m),39),v+=uG(oIn(p,(QGn(),yCt)),17).a,d=e.Math.min(d,p.e.a),g=e.Math.min(g,p.e.b),b=e.Math.max(b,p.e.a+p.f.a),w=e.Math.max(w,p.e.b+p.f.b);kfn(o,(QGn(),yCt),xwn(v)),kfn(o,(OQn(),kPt),new MO(d,g)),kfn(o,vPt,new MO(b,w))}for(hZ(),f$(n,new Ta),zsn(y=new L7,(u3(0,n.c.length),uG(n.c[0],96))),l=0,S=0,h=new Ww(n);h.a<h.c.c.length;)o=uG(N3(h),121),M=YF(D$(uG(oIn(o,(OQn(),vPt)),8)),uG(oIn(o,kPt),8)),l=e.Math.max(l,M.a),S+=M.a*M.b;for(l=e.Math.max(l,e.Math.sqrt(S)*uM(pK(oIn(y,(QGn(),eCt))))),P=0,C=0,f=0,t=T=uM(pK(oIn(y,ECt))),u=new Ww(n);u.a<u.c.c.length;)o=uG(N3(u),121),P+(M=YF(D$(uG(oIn(o,(OQn(),vPt)),8)),uG(oIn(o,kPt),8))).a>l&&(P=0,C+=f+T,f=0),rUn(y,o,P,C),t=e.Math.max(t,P+M.a),f=e.Math.max(f,M.b),P+=M.a+T;for(k=new Ym,i=new Ym,E=new Ww(n);E.a<E.c.c.length;)for(r=oM(gK(oIn(j=uG(N3(E),121),(XYn(),w$t)))),a=(j.q?j.q:Vot).vc().Kc();a.Ob();)PV(k,(c=uG(a.Pb(),44)).ld())?xA(uG(c.ld(),149).Sg())!==xA(c.md())&&(r&&PV(i,c.ld())?(bS(),uG(c.ld(),149).Pg(),String.fromCharCode(10)):(vJ(k,uG(c.ld(),149),c.md()),kfn(y,uG(c.ld(),149),c.md()),r&&vJ(i,uG(c.ld(),149),c.md()))):(vJ(k,uG(c.ld(),149),c.md()),kfn(y,uG(c.ld(),149),c.md()));return ySn(y),y}function xYn(n,t){switch(n.e){case 0:case 2:case 4:case 6:case 42:case 44:case 46:case 48:case 8:case 10:case 12:case 14:case 16:case 18:case 20:case 22:case 24:case 26:case 28:case 30:case 32:case 34:case 36:case 38:return new yZ(n.b,n.a,t,n.c);case 1:return new TD(n.a,t,emn(t.Dh(),n.c));case 43:return new CD(n.a,t,emn(t.Dh(),n.c));case 3:return new MD(n.a,t,emn(t.Dh(),n.c));case 45:return new PD(n.a,t,emn(t.Dh(),n.c));case 41:return new ltn(uG(bEn(n.c),29),n.a,t,emn(t.Dh(),n.c));case 50:return new xan(uG(bEn(n.c),29),n.a,t,emn(t.Dh(),n.c));case 5:return new r_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 47:return new c_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 7:return new fV(n.a,t,emn(t.Dh(),n.c),n.d.n);case 49:return new i_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 9:return new SD(n.a,t,emn(t.Dh(),n.c));case 11:return new ED(n.a,t,emn(t.Dh(),n.c));case 13:return new jD(n.a,t,emn(t.Dh(),n.c));case 15:return new _G(n.a,t,emn(t.Dh(),n.c));case 17:return new AD(n.a,t,emn(t.Dh(),n.c));case 19:return new OD(n.a,t,emn(t.Dh(),n.c));case 21:return new ID(n.a,t,emn(t.Dh(),n.c));case 23:return new FG(n.a,t,emn(t.Dh(),n.c));case 25:return new l_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 27:return new f_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 29:return new s_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 31:return new a_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 33:return new h_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 35:return new u_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 37:return new o_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 39:return new wV(n.a,t,emn(t.Dh(),n.c),n.d.n);case 40:return new wsn(t,emn(t.Dh(),n.c));default:throw hv(new Ky("Unknown feature style: "+n.e))}}function RYn(n){var t,e,i,r,c,a,o,u;for(c=0,r=n.a.b,u=Fkn(n.a,0);u.b!=u.d.c;){if(o=uG(I6(u),240),a=(c+1)/(r+1),!n.c&&!n.d)return;n.c&&!n.d?(n.g=!0,n.b==(xdn(),JDt)?(i=n.c.e.b+n.c.f.b+n.e*(c+1),t=new MO(uM(pK(oIn(n.c,(OQn(),$Pt))))+n.e,i),e=new MO(uM(pK(oIn(n.c,DPt)))-n.e,i)):n.b==YDt?(i=n.c.e.b+n.c.f.b+n.e*(c+1),t=new MO(uM(pK(oIn(n.c,(OQn(),DPt))))-n.e,i),e=new MO(uM(pK(oIn(n.c,$Pt)))+n.e,i)):n.b==nxt?(t=new MO(i=n.c.e.a+n.c.f.a+n.e*(c+1),uM(pK(oIn(n.c,(OQn(),$Pt))))+n.e),e=new MO(i,uM(pK(oIn(n.c,DPt)))-n.e)):(t=new MO(i=n.c.e.a+n.c.f.a+n.e*(c+1),uM(pK(oIn(n.c,(OQn(),DPt))))-n.e),e=new MO(i,uM(pK(oIn(n.c,$Pt)))+n.e))):n.c&&n.d?n.b==(xdn(),JDt)?(i=n.d.e.b*a+(n.c.e.b+n.c.f.b)*(1-a),t=new MO(uM(pK(oIn(n.c,(OQn(),$Pt))))+n.e,i),e=new MO(uM(pK(oIn(n.c,DPt)))-n.e,i)):n.b==YDt?(i=n.d.e.b*a+(n.c.e.b+n.c.f.b)*(1-a),t=new MO(uM(pK(oIn(n.c,(OQn(),DPt))))-n.e,i),e=new MO(uM(pK(oIn(n.c,$Pt)))+n.e,i)):n.b==nxt?(t=new MO(i=n.d.e.a*a+(n.c.e.a+n.c.f.a)*(1-a),uM(pK(oIn(n.c,(OQn(),$Pt))))+n.e),e=new MO(i,uM(pK(oIn(n.c,DPt)))-n.e)):(t=new MO(i=n.d.e.a*a+(n.c.e.a+n.c.f.a)*(1-a),uM(pK(oIn(n.c,(OQn(),DPt))))-n.e),e=new MO(i,uM(pK(oIn(n.c,$Pt)))+n.e)):(n.f=!0,n.b==(xdn(),JDt)?(i=n.d.e.b-n.e*(c+1),t=new MO(uM(pK(oIn(n.d,(OQn(),$Pt))))+n.e,i),e=new MO(uM(pK(oIn(n.d,DPt)))-n.e,i)):n.b==YDt?(i=n.d.e.b-n.e*(c+1),t=new MO(uM(pK(oIn(n.d,(OQn(),DPt))))-n.e,i),e=new MO(uM(pK(oIn(n.d,$Pt)))+n.e,i)):n.b==nxt?(t=new MO(i=n.d.e.a-n.e*(c+1),uM(pK(oIn(n.d,(OQn(),$Pt))))+n.e),e=new MO(i,uM(pK(oIn(n.d,DPt)))-n.e)):(t=new MO(i=n.d.e.a-n.e*(c+1),uM(pK(oIn(n.d,(OQn(),DPt))))-n.e),e=new MO(i,uM(pK(oIn(n.d,$Pt)))+n.e))),uG(o.a,8).a=t.a,uG(o.a,8).b=t.b,o.b.a=e.a,o.b.b=e.b,++c}}function KYn(n,t,e,i,r,c){var a,o,u,s,h,f,l;switch(t){case 71:a=i.q.getFullYear()-V1n>=-1900?1:0,JA(n,e>=4?Uhn(cT($ot,1),zZn,2,6,[Q1n,J1n])[a]:Uhn(cT($ot,1),zZn,2,6,["BC","AD"])[a]);break;case 121:Kkn(n,e,i);break;case 77:tUn(n,e,i);break;case 107:Fen(n,0==(o=r.q.getHours())?24:o,e);break;case 83:PRn(n,e,r);break;case 69:u=i.q.getDay(),JA(n,5==e?Uhn(cT($ot,1),zZn,2,6,["S","M","T","W","T","F","S"])[u]:4==e?Uhn(cT($ot,1),zZn,2,6,[Y1n,Z1n,n0n,t0n,e0n,i0n,r0n])[u]:Uhn(cT($ot,1),zZn,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[u]);break;case 97:r.q.getHours()>=12&&r.q.getHours()<24?JA(n,Uhn(cT($ot,1),zZn,2,6,["AM","PM"])[1]):JA(n,Uhn(cT($ot,1),zZn,2,6,["AM","PM"])[0]);break;case 104:Fen(n,0==(s=r.q.getHours()%12)?12:s,e);break;case 75:Fen(n,r.q.getHours()%12,e);break;case 72:Fen(n,r.q.getHours(),e);break;case 99:h=i.q.getDay(),5==e?JA(n,Uhn(cT($ot,1),zZn,2,6,["S","M","T","W","T","F","S"])[h]):4==e?JA(n,Uhn(cT($ot,1),zZn,2,6,[Y1n,Z1n,n0n,t0n,e0n,i0n,r0n])[h]):3==e?JA(n,Uhn(cT($ot,1),zZn,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[h]):Fen(n,h,1);break;case 76:f=i.q.getMonth(),5==e?JA(n,Uhn(cT($ot,1),zZn,2,6,["J","F","M","A","M","J","J","A","S","O","N","D"])[f]):4==e?JA(n,Uhn(cT($ot,1),zZn,2,6,[x1n,R1n,K1n,F1n,_1n,B1n,H1n,U1n,G1n,q1n,X1n,z1n])[f]):3==e?JA(n,Uhn(cT($ot,1),zZn,2,6,["Jan","Feb","Mar","Apr",_1n,"Jun","Jul","Aug","Sep","Oct","Nov","Dec"])[f]):Fen(n,f+1,e);break;case 81:l=i.q.getMonth()/3|0,JA(n,e<4?Uhn(cT($ot,1),zZn,2,6,["Q1","Q2","Q3","Q4"])[l]:Uhn(cT($ot,1),zZn,2,6,["1st quarter","2nd quarter","3rd quarter","4th quarter"])[l]);break;case 100:Fen(n,i.q.getDate(),e);break;case 109:Fen(n,r.q.getMinutes(),e);break;case 115:Fen(n,r.q.getSeconds(),e);break;case 122:JA(n,e<4?c.c[0]:c.c[1]);break;case 118:JA(n,c.b);break;case 90:JA(n,e<3?GLn(c):3==e?rNn(c):cNn(c.a));break;default:return!1}return!0}function FYn(n,t,e,i){var r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C;if(iHn(t),u=uG(zrn((!t.b&&(t.b=new f_(cFt,t,4,7)),t.b),0),84),h=uG(zrn((!t.c&&(t.c=new f_(cFt,t,5,8)),t.c),0),84),o=lCn(u),s=lCn(h),a=0==(!t.a&&(t.a=new fV(oFt,t,6,6)),t.a).i?null:uG(zrn((!t.a&&(t.a=new fV(oFt,t,6,6)),t.a),0),166),M=uG(cQ(n.a,o),10),S=uG(cQ(n.a,s),10),T=null,P=null,F$(u,193)&&(F$(y=uG(cQ(n.a,u),304),12)?T=uG(y,12):F$(y,10)&&(M=uG(y,10),T=uG(zq(M.j,0),12))),F$(h,193)&&(F$(E=uG(cQ(n.a,h),304),12)?P=uG(E,12):F$(E,10)&&(S=uG(E,10),P=uG(zq(S.j,0),12))),!M||!S)throw hv(new EM("The source or the target of edge "+t+" could not be found. This usually happens when an edge connects a node laid out by ELK Layered to a node in another level of hierarchy laid out by either another instance of ELK Layered or another layout algorithm alltogether. The former can be solved by setting the hierarchyHandling option to INCLUDE_CHILDREN."));for(zsn(d=new UZ,t),kfn(d,(GYn(),rmt),t),kfn(d,(jYn(),bMt),null),b=uG(oIn(i,Hpt),21),M==S&&b.Fc((r_n(),opt)),T||(can(),k=Wjt,j=null,a&&sN(uG(oIn(M,JMt),101))&&($5(j=new MO(a.j,a.k),s0(t)),Q8(j,e),Ern(s,o)&&(k=Vjt,JF(j,M.n))),T=LXn(M,j,k,i)),P||(can(),k=Vjt,C=null,a&&sN(uG(oIn(S,JMt),101))&&($5(C=new MO(a.b,a.c),s0(t)),Q8(C,e)),P=LXn(S,C,k,HQ(S))),c2(d,T),u2(d,P),(T.e.c.length>1||T.g.c.length>1||P.e.c.length>1||P.g.c.length>1)&&b.Fc((r_n(),ept)),l=new DD((!t.n&&(t.n=new fV(lFt,t,1,7)),t.n));l.e!=l.i.gc();)if(!oM(gK(zDn(f=uG(Zkn(l),135),FMt)))&&f.a)switch(g=own(f),kD(d.b,g),uG(oIn(g,Xyt),278).g){case 1:case 2:b.Fc((r_n(),npt));break;case 0:b.Fc((r_n(),Ygt)),kfn(g,Xyt,(Zrn(),ixt))}if(c=uG(oIn(i,Kyt),322),p=uG(oIn(i,$Mt),323),r=c==(jan(),Ydt)||p==(pyn(),kjt),a&&0!=(!a.a&&(a.a=new MD(eFt,a,5)),a.a).i&&r){for(m=COn(a),w=new Uk,v=Fkn(m,0);v.b!=v.d.c;)aq(w,new eN(uG(I6(v),8)));kfn(d,cmt,w)}return d}function _Yn(n,t,e,i){var r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I;for(j=0,E=0,M=new Ym,k=uG(yx(Wz(YJ(new fX(null,new h3(n.b,16)),new io),new fo)),17).a+1,T=Inn(YHt,W1n,28,k,15,1),d=Inn(YHt,W1n,28,k,15,1),w=0;w<k;w++)T[w]=0,d[w]=0;for(s=uG(l8(_0(new fX(null,new h3(n.a,16))),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[(ybn(),Iut)]))),15).Kc();s.Ob();)if(u=uG(s.Pb(),65),P=uG(oIn(u.b,(QGn(),ACt)),17).a,(v=(I=uG(oIn(u.c,ACt),17).a)-P)>1)for(o=P+1;o<I;o++){if(h=o,y=uG(l8(JJ(new fX(null,new h3(n.b,16)),new Np(h)),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[Iut]))),15),b=0,t==(xdn(),JDt)||t==YDt){for(y.jd(new so),b=0;b<y.gc()&&(g=(o-P)/(I-P),!(uG(y.Xb(b),39).e.b>u.b.e.b*(1-g)+u.c.e.b*g));b++);if(y.gc()>0){if(C=0==u.a.b?D$(u.b.e):uG(pR(u.a),8),m=JF(D$(uG(y.Xb(y.gc()-1),39).e),uG(y.Xb(y.gc()-1),39).f),f=JF(D$(uG(y.Xb(0),39).e),uG(y.Xb(0),39).f),b>=y.gc()-1&&C.b>m.b&&u.c.e.b>m.b)continue;if(b<=0&&C.b<f.a&&u.c.e.b<f.b)continue}}else{for(y.jd(new ho),b=0;b<y.gc()&&(g=(o-P)/(I-P),!(uG(y.Xb(b),39).e.a>u.b.e.a*(1-g)+u.c.e.a*g));b++);if(y.gc()>0){if(C=0==u.a.b?D$(u.b.e):uG(pR(u.a),8),m=JF(D$(uG(y.Xb(y.gc()-1),39).e),uG(y.Xb(y.gc()-1),39).f),f=JF(D$(uG(y.Xb(0),39).e),uG(y.Xb(0),39).f),b>=y.gc()-1&&C.a>m.a&&u.c.e.a>m.a)continue;if(b<=0&&C.a<f.a&&u.c.e.a<f.a)continue}}r=new sj,c=new sj,aq(u.a,r),aq(u.a,c),a=new LU(r,c,u),PV(M,Hvn(p=S3(Nz(o,32),E3(b,L0n))))?(aq((l=uG(cQ(M,Hvn(p)),675)).a,a),hN(l.b)?Lon(l.a,new vo):Lon(l.a,new ko),RYn(l)):(l=new wTn(0==b?null:uG(y.Xb(b-1),39),b==y.gc()?null:uG(y.Xb(b),39),a,n),vJ(M,Hvn(p),l)),t==JDt||t==YDt?(l.f&&l.d.e.b<=uM(pK(oIn(n,(OQn(),IPt))))&&++j,l.g&&l.c.e.b+l.c.f.b>=uM(pK(oIn(n,(OQn(),CPt))))&&++E):(l.f&&l.d.e.a<=uM(pK(oIn(n,(OQn(),PPt))))&&++j,l.g&&l.c.e.a+l.c.f.a>=uM(pK(oIn(n,(OQn(),SPt))))&&++E)}else 0==v?hNn(u):v<0&&(++T[P],++d[I],j=uG((S=AYn(u,t,n,new WO(xwn(j),xwn(E)),e,i,new WO(xwn(d[I]),xwn(T[P])))).a,17).a,E=uG(S.b,17).a)}function BYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m;if(i=t,u=e,n.b&&i.j==(KQn(),_Rt)&&u.j==(KQn(),_Rt)&&(m=i,i=u,u=m),PV(n.a,i)){if(cS(uG(cQ(n.a,i),49),u))return 1}else vJ(n.a,i,new ek);if(PV(n.a,u)){if(cS(uG(cQ(n.a,u),49),i))return-1}else vJ(n.a,u,new ek);if(PV(n.d,i)){if(cS(uG(cQ(n.d,i),49),u))return-1}else vJ(n.d,i,new ek);if(PV(n.d,u)){if(cS(uG(cQ(n.a,u),49),i))return 1}else vJ(n.d,u,new ek);if(i.j!=u.j)return-1==(p=bN(i.j,u.j))?hHn(n,u,i):hHn(n,i,u),p;if(0!=i.e.c.length&&0!=u.e.c.length){if(n.b&&0!=(p=Dbn(i,u)))return-1==p?hHn(n,u,i):1==p&&hHn(n,i,u),p;if((c=uG(zq(i.e,0),18).c.i)==(h=uG(zq(u.e,0),18).c.i))return(r=uG(oIn(uG(zq(i.e,0),18),(GYn(),imt)),17).a)>(s=uG(oIn(uG(zq(u.e,0),18),imt),17).a)?hHn(n,i,u):hHn(n,u,i),r<s?-1:r>s?1:0;for(d=0,g=(w=n.c).length;d<g;++d){if((b=w[d])==c)return hHn(n,i,u),1;if(b==h)return hHn(n,u,i),-1}}return 0!=i.g.c.length&&0!=u.g.c.length?(o=uG(oIn(i,(GYn(),tmt)),10),l=uG(oIn(u,tmt),10),n.e==(yvn(),Bjt)&&o&&l&&vR(o,imt)&&vR(l,imt)?((r=uG(oIn(o,imt),17).a)>(s=uG(oIn(l,imt),17).a)?hHn(n,i,u):hHn(n,u,i),r<s?-1:r>s?1:0):n.b&&0!=(p=Dbn(i,u))?(-1==p?hHn(n,u,i):1==p&&hHn(n,i,u),p):(a=0,f=0,vR(uG(zq(i.g,0),18),imt)&&(a=uG(oIn(uG(zq(i.g,0),18),imt),17).a),vR(uG(zq(u.g,0),18),imt)&&(f=uG(oIn(uG(zq(i.g,0),18),imt),17).a),o&&o==l?oM(gK(oIn(uG(zq(i.g,0),18),pmt)))&&!oM(gK(oIn(uG(zq(u.g,0),18),pmt)))?(hHn(n,i,u),1):!oM(gK(oIn(uG(zq(i.g,0),18),pmt)))&&oM(gK(oIn(uG(zq(u.g,0),18),pmt)))?(hHn(n,u,i),-1):(a>f?hHn(n,i,u):hHn(n,u,i),a<f?-1:a>f?1:0):(n.f&&(n.f._b(o)&&(a=uG(n.f.xc(o),17).a),n.f._b(l)&&(f=uG(n.f.xc(l),17).a)),a>f?hHn(n,i,u):hHn(n,u,i),a<f?-1:a>f?1:0))):0!=i.e.c.length&&0!=u.g.c.length?(hHn(n,i,u),1):0!=i.g.c.length&&0!=u.e.c.length?(hHn(n,u,i),-1):vR(i,(GYn(),imt))&&vR(u,imt)?((r=uG(oIn(i,imt),17).a)>(s=uG(oIn(u,imt),17).a)?hHn(n,i,u):hHn(n,u,i),r<s?-1:r>s?1:0):(hHn(n,u,i),-1)}function HYn(n){n.gb||(n.gb=!0,n.b=Nsn(n,0),Von(n.b,18),Won(n.b,19),n.a=Nsn(n,1),Von(n.a,1),Won(n.a,2),Won(n.a,3),Won(n.a,4),Won(n.a,5),n.o=Nsn(n,2),Von(n.o,8),Von(n.o,9),Won(n.o,10),Won(n.o,11),Won(n.o,12),Won(n.o,13),Won(n.o,14),Won(n.o,15),Won(n.o,16),Won(n.o,17),Won(n.o,18),Won(n.o,19),Won(n.o,20),Won(n.o,21),Won(n.o,22),Won(n.o,23),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),n.p=Nsn(n,3),Von(n.p,2),Von(n.p,3),Von(n.p,4),Von(n.p,5),Won(n.p,6),Won(n.p,7),rrn(n.p),rrn(n.p),n.q=Nsn(n,4),Von(n.q,8),n.v=Nsn(n,5),Won(n.v,9),rrn(n.v),rrn(n.v),rrn(n.v),n.w=Nsn(n,6),Von(n.w,2),Von(n.w,3),Von(n.w,4),Won(n.w,5),n.B=Nsn(n,7),Won(n.B,1),rrn(n.B),rrn(n.B),rrn(n.B),n.Q=Nsn(n,8),Won(n.Q,0),rrn(n.Q),n.R=Nsn(n,9),Von(n.R,1),n.S=Nsn(n,10),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),n.T=Nsn(n,11),Won(n.T,10),Won(n.T,11),Won(n.T,12),Won(n.T,13),Won(n.T,14),rrn(n.T),rrn(n.T),n.U=Nsn(n,12),Von(n.U,2),Von(n.U,3),Won(n.U,4),Won(n.U,5),Won(n.U,6),Won(n.U,7),rrn(n.U),n.V=Nsn(n,13),Won(n.V,10),n.W=Nsn(n,14),Von(n.W,18),Von(n.W,19),Von(n.W,20),Won(n.W,21),Won(n.W,22),Won(n.W,23),n.bb=Nsn(n,15),Von(n.bb,10),Von(n.bb,11),Von(n.bb,12),Von(n.bb,13),Von(n.bb,14),Von(n.bb,15),Von(n.bb,16),Won(n.bb,17),rrn(n.bb),rrn(n.bb),n.eb=Nsn(n,16),Von(n.eb,2),Von(n.eb,3),Von(n.eb,4),Von(n.eb,5),Von(n.eb,6),Von(n.eb,7),Won(n.eb,8),Won(n.eb,9),n.ab=Nsn(n,17),Von(n.ab,0),Von(n.ab,1),n.H=Nsn(n,18),Won(n.H,0),Won(n.H,1),Won(n.H,2),Won(n.H,3),Won(n.H,4),Won(n.H,5),rrn(n.H),n.db=Nsn(n,19),Won(n.db,2),n.c=$sn(n,20),n.d=$sn(n,21),n.e=$sn(n,22),n.f=$sn(n,23),n.i=$sn(n,24),n.g=$sn(n,25),n.j=$sn(n,26),n.k=$sn(n,27),n.n=$sn(n,28),n.r=$sn(n,29),n.s=$sn(n,30),n.t=$sn(n,31),n.u=$sn(n,32),n.fb=$sn(n,33),n.A=$sn(n,34),n.C=$sn(n,35),n.D=$sn(n,36),n.F=$sn(n,37),n.G=$sn(n,38),n.I=$sn(n,39),n.J=$sn(n,40),n.L=$sn(n,41),n.M=$sn(n,42),n.N=$sn(n,43),n.O=$sn(n,44),n.P=$sn(n,45),n.X=$sn(n,46),n.Y=$sn(n,47),n.Z=$sn(n,48),n.$=$sn(n,49),n._=$sn(n,50),n.cb=$sn(n,51),n.K=$sn(n,52))}function UYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E;for(a=new lS,v=uG(oIn(e,(jYn(),Byt)),88),d=0,Qon(a,(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));0!=a.b;)(xA(zDn(s=R0(h=uG(0==a.b?null:(MK(0!=a.b),Lrn(a,a.a.a)),27)),Syt))!==xA((yvn(),Fjt))||xA(zDn(s,Fyt))===xA((kvn(),lgt))||xA(zDn(s,Fyt))===xA((kvn(),hgt))||oM(gK(zDn(s,Cyt)))||xA(zDn(s,kyt))!==xA((Uvn(),tbt))||xA(zDn(s,yMt))===xA((THn(),Pjt))||xA(zDn(s,yMt))===xA((THn(),Cjt))||xA(zDn(s,MMt))===xA((MKn(),JTt))||xA(zDn(s,MMt))===xA((MKn(),ZTt)))&&!oM(gK(zDn(h,jyt)))&&Myn(h,(GYn(),imt),xwn(d++)),!oM(gK(zDn(h,FMt)))&&(l=0!=(!h.a&&(h.a=new fV(bFt,h,10,11)),h.a).i,w=oCn(h),b=xA(zDn(h,rMt))===xA((Own(),Ixt)),p=null,(E=!vnn(h,(XYn(),e$t))||L9(mK(zDn(h,e$t))))&&b&&(l||w)&&(kfn(p=PGn(h),Byt,v),vR(p,fTt)&&iM(new omn(uM(pK(oIn(p,fTt)))),p),0!=uG(zDn(h,DMt),181).gc()&&(f=p,kS(new fX(null,(!h.c&&(h.c=new fV(wFt,h,9,9)),new h3(h.c,16))),new Yd(f)),u_n(h,p))),k=e,(y=uG(cQ(n.a,R0(h)),10))&&(k=y.e),g=RJn(n,h,k),p&&(g.e=p,p.e=g,Qon(a,(!h.a&&(h.a=new fV(bFt,h,10,11)),h.a))));for(d=0,s8(a,t,a.c.b,a.c);0!=a.b;){for(u=new DD((!(c=uG(0==a.b?null:(MK(0!=a.b),Lrn(a,a.a.a)),27)).b&&(c.b=new fV(aFt,c,12,3)),c.b));u.e!=u.i.gc();)iHn(o=uG(Zkn(u),74)),(xA(zDn(t,Syt))!==xA((yvn(),Fjt))||xA(zDn(t,Fyt))===xA((kvn(),lgt))||xA(zDn(t,Fyt))===xA((kvn(),hgt))||oM(gK(zDn(t,Cyt)))||xA(zDn(t,kyt))!==xA((Uvn(),tbt))||xA(zDn(t,yMt))===xA((THn(),Pjt))||xA(zDn(t,yMt))===xA((THn(),Cjt))||xA(zDn(t,MMt))===xA((MKn(),JTt))||xA(zDn(t,MMt))===xA((MKn(),ZTt)))&&Myn(o,(GYn(),imt),xwn(d++)),T=lCn(uG(zrn((!o.b&&(o.b=new f_(cFt,o,4,7)),o.b),0),84)),j=lCn(uG(zrn((!o.c&&(o.c=new f_(cFt,o,5,8)),o.c),0),84)),oM(gK(zDn(o,FMt)))||oM(gK(zDn(T,FMt)))||oM(gK(zDn(j,FMt)))||(m=c,BNn(o)&&oM(gK(zDn(T,sMt)))&&oM(gK(zDn(o,hMt)))||Ern(j,T)?m=T:Ern(T,j)&&(m=j),k=e,(y=uG(cQ(n.a,m),10))&&(k=y.e),kfn(FYn(n,o,m,k),(GYn(),Ipt),SFn(n,o,t,e)));if(b=xA(zDn(c,rMt))===xA((Own(),Ixt)))for(r=new DD((!c.a&&(c.a=new fV(bFt,c,10,11)),c.a));r.e!=r.i.gc();)E=!vnn(i=uG(Zkn(r),27),(XYn(),e$t))||L9(mK(zDn(i,e$t))),M=xA(zDn(i,rMt))===xA(Ixt),E&&M&&s8(a,i,a.c.b,a.c)}}function GYn(){var n,t;GYn=E,rmt=new Cm(E4n),Ipt=new Cm("coordinateOrigin"),wmt=new Cm("processors"),Cpt=new uF("compoundNode",(qx(),!1)),qpt=new uF("insideConnections",!1),cmt=new Cm("originalBendpoints"),amt=new Cm("originalDummyNodePosition"),omt=new Cm("originalLabelEdge"),gmt=new Cm("representedLabels"),$pt=new Cm("endLabels"),Dpt=new Cm("endLabel.origin"),Qpt=new uF("labelSide",(Ajn(),Rxt)),emt=new uF("maxEdgeThickness",0),pmt=new uF("reversed",!1),dmt=new Cm(S4n),Zpt=new uF("longEdgeSource",null),nmt=new uF("longEdgeTarget",null),Ypt=new uF("longEdgeHasLabelDummies",!1),Jpt=new uF("longEdgeBeforeLabelDummy",!1),Npt=new uF("edgeConstraint",(Pfn(),kgt)),zpt=new Cm("inLayerLayoutUnit"),Xpt=new uF("inLayerConstraint",(Zen(),gpt)),Vpt=new uF("inLayerSuccessorConstraint",new Zm),Wpt=new uF("inLayerSuccessorConstraintBetweenNonDummies",!1),lmt=new Cm("portDummy"),Opt=new uF("crossingHint",xwn(0)),Hpt=new uF("graphProperties",new nB(t=uG(Mj(bpt),9),uG(MF(t,t.length),9),0)),Fpt=new uF("externalPortSide",(KQn(),FRt)),_pt=new uF("externalPortSize",new sj),Rpt=new Cm("externalPortReplacedDummies"),Kpt=new Cm("externalPortReplacedDummy"),xpt=new uF("externalPortConnections",new nB(n=uG(Mj(YRt),9),uG(MF(n,n.length),9),0)),bmt=new uF(i3n,0),jpt=new Cm("barycenterAssociates"),Pmt=new Cm("TopSideComments"),Ept=new Cm("BottomSideComments"),Ppt=new Cm("CommentConnectionPort"),Gpt=new uF("inputCollect",!1),hmt=new uF("outputCollect",!1),Lpt=new uF("cyclic",!1),Apt=new Cm("crossHierarchyMap"),Smt=new Cm("targetOffset"),new uF("splineLabelSize",new sj),kmt=new Cm("spacings"),fmt=new uF("partitionConstraint",!1),Spt=new Cm("breakingPoint.info"),jmt=new Cm("splines.survivingEdge"),Tmt=new Cm("splines.route.start"),ymt=new Cm("splines.edgeChain"),smt=new Cm("originalPortConstraints"),vmt=new Cm("selfLoopHolder"),Mmt=new Cm("splines.nsPortY"),imt=new Cm("modelOrder"),tmt=new Cm("longEdgeTargetNode"),Bpt=new uF(_6n,!1),mmt=new uF(_6n,!1),Upt=new Cm("layerConstraints.hiddenNodes"),umt=new Cm("layerConstraints.opposidePort"),Emt=new Cm("targetNode.modelOrder")}function qYn(n,t,i,r){var c,a,o,u,s,h,f,l,b,w,d;for(l=Fkn(n.b,0);l.b!=l.d.c;)if(!m_((f=uG(I6(l),39)).c,H9n))for(a=uG(l8(new fX(null,new h3(zNn(f,n),16)),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[(ybn(),Iut)]))),15),t==(xdn(),JDt)||t==YDt?a.jd(new oo):a.jd(new uo),d=a.gc(),c=0;c<d;c++)o=1==d?.5:(1+c)/(d+1),t==JDt?(h=uM(pK(oIn(f,(OQn(),$Pt)))),f.e.a+f.f.a+r<h?cL(uG(a.Xb(c),65).a,new MO(h+i,f.e.b+f.f.b*o)):uG(a.Xb(c),65).a.b>0&&(u=uG(pR(uG(a.Xb(c),65).a),8).a,b=f.e.a+f.f.a/2,s=uG(pR(uG(a.Xb(c),65).a),8).b,w=f.e.b+f.f.b/2,r>0&&e.Math.abs(s-w)/(e.Math.abs(u-b)/40)>50&&cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a+r/5.3,w>s?f.e.b+f.f.b*o-r/2:f.e.b+f.f.b*o+r/2))),cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a,f.e.b+f.f.b*o))):t==YDt?(h=uM(pK(oIn(f,(OQn(),DPt)))),f.e.a-r>h?cL(uG(a.Xb(c),65).a,new MO(h-i,f.e.b+f.f.b*o)):uG(a.Xb(c),65).a.b>0&&(u=uG(pR(uG(a.Xb(c),65).a),8).a,b=f.e.a+f.f.a/2,s=uG(pR(uG(a.Xb(c),65).a),8).b,w=f.e.b+f.f.b/2,r>0&&e.Math.abs(s-w)/(e.Math.abs(u-b)/40)>50&&cL(uG(a.Xb(c),65).a,new MO(f.e.a-r/5.3,w>s?f.e.b+f.f.b*o-r/2:f.e.b+f.f.b*o+r/2))),cL(uG(a.Xb(c),65).a,new MO(f.e.a,f.e.b+f.f.b*o))):t==nxt?(h=uM(pK(oIn(f,(OQn(),$Pt)))),f.e.b+f.f.b+r<h?cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,h+i)):uG(a.Xb(c),65).a.b>0&&(u=uG(pR(uG(a.Xb(c),65).a),8).a,b=f.e.a+f.f.a/2,s=uG(pR(uG(a.Xb(c),65).a),8).b,w=f.e.b+f.f.b/2,r>0&&e.Math.abs(u-b)/(e.Math.abs(s-w)/40)>50&&cL(uG(a.Xb(c),65).a,new MO(b>u?f.e.a+f.f.a*o-r/2:f.e.a+f.f.a*o+r/2,f.e.b+r/5.3+f.f.b))),cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,f.e.b+f.f.b))):(h=uM(pK(oIn(f,(OQn(),DPt)))),uln(uG(a.Xb(c),65),n)?cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,uG(pR(uG(a.Xb(c),65).a),8).b)):f.e.b-r>h?cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,h-i)):uG(a.Xb(c),65).a.b>0&&(u=uG(pR(uG(a.Xb(c),65).a),8).a,b=f.e.a+f.f.a/2,s=uG(pR(uG(a.Xb(c),65).a),8).b,w=f.e.b+f.f.b/2,r>0&&e.Math.abs(u-b)/(e.Math.abs(s-w)/40)>50&&cL(uG(a.Xb(c),65).a,new MO(b>u?f.e.a+f.f.a*o-r/2:f.e.a+f.f.a*o+r/2,f.e.b-r/5.3))),cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,f.e.b)))}function XYn(){var n,t;XYn=E,e$t=new Cm(Vnt),yDt=new Cm(Wnt),nMn(),i$t=new mL(X8n,r$t=CNt),new Jm,c$t=new mL(R3n,null),a$t=new Cm(Qnt),ZSn(),b$t=WX(ZNt,Uhn(cT(txt,1),p1n,297,0,[WNt])),l$t=new mL(r9n,b$t),w$t=new mL(q8n,(qx(),!1)),xdn(),d$t=new mL(W8n,g$t=ZDt),_gn(),k$t=new mL(m8n,y$t=fxt),j$t=new mL(Xnt,!1),Own(),E$t=new mL(b8n,S$t=Oxt),Q$t=new CN(12),W$t=new mL(K3n,Q$t),O$t=new mL(f4n,!1),A$t=new mL(g9n,!1),V$t=new mL(w4n,!1),$Pn(),sDt=new mL(l4n,hDt=sRt),mDt=new Cm(b9n),vDt=new Cm(a4n),kDt=new Cm(s4n),TDt=new Cm(h4n),N$t=new Uk,L$t=new mL(c9n,N$t),f$t=new mL(u9n,!1),P$t=new mL(s9n,!1),new Cm(Jnt),D$t=new Nk,$$t=new mL(w9n,D$t),z$t=new mL(U8n,!1),new Jm,MDt=new mL(Ynt,1),h$t=new Cm(Znt),s$t=new Cm(ntt),HDt=new mL(k4n,!1),new mL(ttt,!0),xwn(0),new mL(ett,xwn(100)),new mL(itt,!1),xwn(0),new mL(rtt,xwn(4e3)),xwn(0),new mL(ctt,xwn(400)),new mL(att,!1),new mL(ott,!1),new mL(utt,!0),new mL(stt,!1),qpn(),o$t=new mL(znt,u$t=TKt),jDt=new mL(A8n,10),EDt=new mL(L8n,10),SDt=new mL(D3n,20),PDt=new mL(N8n,10),CDt=new mL(u4n,2),IDt=new mL($8n,10),ADt=new mL(D8n,0),LDt=new mL(K8n,5),NDt=new mL(x8n,1),$Dt=new mL(R8n,1),DDt=new mL(o4n,20),xDt=new mL(F8n,10),FDt=new mL(_8n,10),ODt=new Cm(B8n),KDt=new qL,RDt=new mL(d9n,KDt),Z$t=new Cm(l9n),J$t=new mL(f9n,Y$t=!1),R$t=new CN(5),x$t=new mL(Q8n,R$t),VDn(),t=uG(Mj(eRt),9),F$t=new nB(t,uG(MF(t,t.length),9),0),K$t=new mL(m4n,F$t),Vkn(),tDt=new mL(Z8n,eDt=Zxt),rDt=new Cm(n9n),cDt=new Cm(t9n),aDt=new Cm(e9n),iDt=new Cm(i9n),n=uG(Mj(sKt),9),B$t=new nB(n,uG(MF(n,n.length),9),0),_$t=new mL(p4n,B$t),X$t=ggn((oUn(),eKt)),q$t=new mL(g4n,X$t),G$t=new MO(0,0),U$t=new mL(x4n,G$t),H$t=new mL(d4n,!1),Zrn(),m$t=new mL(a9n,v$t=ixt),p$t=new mL(b4n,!1),new Cm(htt),xwn(1),new mL(ftt,null),oDt=new Cm(h9n),fDt=new Cm(o9n),KQn(),gDt=new mL(G8n,pDt=FRt),uDt=new Cm(H8n),eNn(),wDt=ggn(gRt),bDt=new mL(v4n,wDt),lDt=new mL(J8n,!1),dDt=new mL(Y8n,!0),new Jm,XDt=new mL(y4n,1),VDt=new mL(ltt,null),BDt=new mL(M4n,150),_Dt=new mL(T4n,1.414),UDt=new mL(j4n,null),GDt=new mL(btt,1),C$t=new mL(z8n,!1),I$t=new mL(V8n,!1),M$t=new mL(x3n,1),RCn(),new mL(wtt,T$t=mxt),nDt=!0,Iwn(),zDt=fKt,WDt=fKt,qDt=fKt}function zYn(){zYn=E,qbt=new CC("DIRECTION_PREPROCESSOR",0),Hbt=new CC("COMMENT_PREPROCESSOR",1),Xbt=new CC("EDGE_AND_LAYER_CONSTRAINT_EDGE_REVERSER",2),uwt=new CC("INTERACTIVE_EXTERNAL_PORT_POSITIONER",3),Pwt=new CC("PARTITION_PREPROCESSOR",4),lwt=new CC("LABEL_DUMMY_INSERTER",5),Nwt=new CC("SELF_LOOP_PREPROCESSOR",6),pwt=new CC("LAYER_CONSTRAINT_PREPROCESSOR",7),Ewt=new CC("PARTITION_MIDPROCESSOR",8),iwt=new CC("HIGH_DEGREE_NODE_LAYER_PROCESSOR",9),ywt=new CC("NODE_PROMOTION",10),gwt=new CC("LAYER_CONSTRAINT_POSTPROCESSOR",11),Swt=new CC("PARTITION_POSTPROCESSOR",12),Zbt=new CC("HIERARCHICAL_PORT_CONSTRAINT_PROCESSOR",13),Dwt=new CC("SEMI_INTERACTIVE_CROSSMIN_PROCESSOR",14),xbt=new CC("BREAKING_POINT_INSERTER",15),kwt=new CC("LONG_EDGE_SPLITTER",16),Iwt=new CC("PORT_SIDE_PROCESSOR",17),swt=new CC("INVERTED_PORT_PROCESSOR",18),Cwt=new CC("PORT_LIST_SORTER",19),Rwt=new CC("SORT_BY_INPUT_ORDER_OF_MODEL",20),Twt=new CC("NORTH_SOUTH_PORT_PREPROCESSOR",21),Rbt=new CC("BREAKING_POINT_PROCESSOR",22),jwt=new CC(p6n,23),Kwt=new CC(m6n,24),Awt=new CC("SELF_LOOP_PORT_RESTORER",25),xwt=new CC("SINGLE_EDGE_GRAPH_WRAPPER",26),hwt=new CC("IN_LAYER_CONSTRAINT_PROCESSOR",27),Qbt=new CC("END_NODE_PORT_LABEL_MANAGEMENT_PROCESSOR",28),fwt=new CC("LABEL_AND_NODE_SIZE_PROCESSOR",29),owt=new CC("INNERMOST_NODE_MARGIN_CALCULATOR",30),$wt=new CC("SELF_LOOP_ROUTER",31),_bt=new CC("COMMENT_NODE_MARGIN_CALCULATOR",32),Vbt=new CC("END_LABEL_PREPROCESSOR",33),wwt=new CC("LABEL_DUMMY_SWITCHER",34),Fbt=new CC("CENTER_LABEL_MANAGEMENT_PROCESSOR",35),dwt=new CC("LABEL_SIDE_SELECTOR",36),cwt=new CC("HYPEREDGE_DUMMY_MERGER",37),nwt=new CC("HIERARCHICAL_PORT_DUMMY_SIZE_PROCESSOR",38),mwt=new CC("LAYER_SIZE_AND_GRAPH_HEIGHT_CALCULATOR",39),ewt=new CC("HIERARCHICAL_PORT_POSITION_PROCESSOR",40),Ubt=new CC("CONSTRAINTS_POSTPROCESSOR",41),Bbt=new CC("COMMENT_POSTPROCESSOR",42),awt=new CC("HYPERNODE_PROCESSOR",43),twt=new CC("HIERARCHICAL_PORT_ORTHOGONAL_EDGE_ROUTER",44),vwt=new CC("LONG_EDGE_JOINER",45),Lwt=new CC("SELF_LOOP_POSTPROCESSOR",46),Kbt=new CC("BREAKING_POINT_REMOVER",47),Mwt=new CC("NORTH_SOUTH_PORT_POSTPROCESSOR",48),rwt=new CC("HORIZONTAL_COMPACTOR",49),bwt=new CC("LABEL_DUMMY_REMOVER",50),Jbt=new CC("FINAL_SPLINE_BENDPOINTS_CALCULATOR",51),Wbt=new CC("END_LABEL_SORTER",52),Owt=new CC("REVERSED_EDGE_RESTORER",53),zbt=new CC("END_LABEL_POSTPROCESSOR",54),Ybt=new CC("HIERARCHICAL_NODE_RESIZER",55),Gbt=new CC("DIRECTION_POSTPROCESSOR",56)}function VYn(){VYn=E,Vin(),mvt=new mL(B6n,vvt=dgt),xvt=new mL(H6n,(qx(),!1)),Y6(),Bvt=new mL(U6n,Hvt=kpt),akt=new mL(G6n,!1),okt=new mL(q6n,!0),Dmt=new mL(X6n,!1),nin(),Skt=new mL(z6n,Pkt=Gjt),xwn(1),Dkt=new mL(V6n,xwn(7)),xkt=new mL(W6n,!1),Rvt=new mL(Q6n,!1),kvn(),gvt=new mL(J6n,pvt=sgt),MKn(),rkt=new mL(Y6n,ckt=rjt),Gpn(),Vvt=new mL(Z6n,Wvt=Lmt),xwn(-1),zvt=new mL(n5n,null),xwn(-1),Qvt=new mL(t5n,xwn(-1)),xwn(-1),Jvt=new mL(e5n,xwn(4)),xwn(-1),Zvt=new mL(i5n,xwn(2)),THn(),ekt=new mL(r5n,ikt=$jt),xwn(0),tkt=new mL(c5n,xwn(0)),qvt=new mL(a5n,xwn(vZn)),jan(),wvt=new mL(o5n,dvt=Zdt),Jmt=new mL(u5n,!1),avt=new mL(s5n,.1),lvt=new mL(h5n,!1),uvt=new mL(f5n,null),svt=new mL(l5n,null),xwn(-1),hvt=new mL(b5n,null),xwn(-1),fvt=new mL(w5n,xwn(-1)),xwn(0),Ymt=new mL(d5n,xwn(40)),ihn(),ivt=new mL(g5n,rvt=lpt),Zmt=new mL(p5n,nvt=hpt),pyn(),jkt=new mL(m5n,Ekt=vjt),wkt=new Cm(v5n),Wtn(),ukt=new mL(k5n,skt=Lgt),ESn(),fkt=new mL(y5n,lkt=Fgt),new Jm,pkt=new mL(M5n,.3),vkt=new Cm(T5n),Yyn(),kkt=new mL(j5n,ykt=djt),isn(),Svt=new mL(E5n,Pvt=nEt),Sln(),Cvt=new mL(S5n,Ivt=aEt),kbn(),Ovt=new mL(P5n,Avt=fEt),Nvt=new mL(C5n,.2),jvt=new mL(I5n,2),Akt=new mL(O5n,null),Nkt=new mL(A5n,10),Lkt=new mL(L5n,10),$kt=new mL(N5n,20),xwn(0),Ckt=new mL($5n,xwn(0)),xwn(0),Ikt=new mL(D5n,xwn(0)),xwn(0),Okt=new mL(x5n,xwn(0)),xmt=new mL(R5n,!1),RIn(),Fmt=new mL(K5n,_mt=Vgt),H7(),Rmt=new mL(F5n,Kmt=Wdt),Fvt=new mL(_5n,!1),xwn(0),Kvt=new mL(B5n,xwn(16)),xwn(0),_vt=new mL(H5n,xwn(5)),zhn(),ryt=new mL(U5n,cyt=kEt),Rkt=new mL(G5n,10),_kt=new mL(q5n,1),ran(),Vkt=new mL(X5n,Wkt=cgt),Ukt=new Cm(z5n),Xkt=xwn(1),xwn(0),qkt=new mL(V5n,Xkt),ian(),syt=new mL(W5n,hyt=wEt),ayt=new Cm(Q5n),nyt=new mL(J5n,!0),Ykt=new mL(Y5n,2),eyt=new mL(Z5n,!0),tOn(),Mvt=new mL(n8n,Tvt=Cgt),vAn(),kvt=new mL(t8n,yvt=Hdt),yvn(),Wmt=new mL(e8n,Qmt=Fjt),Vmt=new mL(i8n,!1),zmt=new mL(r8n,!1),Uvn(),Bmt=new mL(c8n,Hmt=tbt),Cwn(),qmt=new mL(a8n,Xmt=ujt),Umt=new mL(o8n,0),Gmt=new mL(u8n,0),Gvt=fgt,Uvt=Ydt,Yvt=ijt,nkt=ijt,Xvt=YTt,Own(),ovt=Ixt,bvt=Zdt,cvt=Zdt,tvt=Zdt,evt=Ixt,dkt=Mjt,gkt=vjt,hkt=vjt,bkt=vjt,mkt=yjt,Tkt=Mjt,Mkt=Mjt,_gn(),Lvt=hxt,$vt=hxt,Dvt=fEt,Evt=sxt,Kkt=yEt,Fkt=vEt,Bkt=yEt,Hkt=vEt,Qkt=yEt,Jkt=vEt,Gkt=rgt,zkt=cgt,fyt=yEt,lyt=vEt,oyt=yEt,uyt=vEt,tyt=vEt,Zkt=vEt,iyt=vEt}function WYn(n,t,i){var r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I,O,A,L,N,$,D,x,R,K,F,_,B,H,U,G,q,X,z,V,W,Q,J,Y,Z,nn,tn,en,rn,cn,an,on,un;for(Y=0,N=0,x=(O=t).length;N<x;++N)for(G=new Ww((C=O[N]).j);G.a<G.c.c.length;){for(X=0,u=new Ww((U=uG(N3(G),12)).g);u.a<u.c.c.length;)o=uG(N3(u),18),C.c!=o.d.i.c&&++X;X>0&&(n.a[U.p]=Y++)}for(rn=0,$=0,R=(A=i).length;$<R;++$){for(K=0,G=new Ww((C=A[$]).j);G.a<G.c.c.length&&(U=uG(N3(G),12)).j==(KQn(),yRt);)for(u=new Ww(U.e);u.a<u.c.c.length;)if(o=uG(N3(u),18),C.c!=o.c.i.c){++K;break}for(_=0,z=new N4(C.j,C.j.c.length);z.b>0;){for(MK(z.b>0),X=0,u=new Ww((U=uG(z.a.Xb(z.c=--z.b),12)).e);u.a<u.c.c.length;)o=uG(N3(u),18),C.c!=o.c.i.c&&++X;X>0&&(U.j==(KQn(),yRt)?(n.a[U.p]=rn,++rn):(n.a[U.p]=rn+K+_,++_))}rn+=_}for(q=new Ym,d=new XL,L=0,D=(I=t).length;L<D;++L)for(tn=new Ww((C=I[L]).j);tn.a<tn.c.c.length;)for(u=new Ww((nn=uG(N3(tn),12)).g);u.a<u.c.c.length;)if(an=(o=uG(N3(u),18)).d,C.c!=an.i.c)if(Z=uG(DA(FX(q.f,nn)),477),cn=uG(DA(FX(q.f,an)),477),Z||cn)if(Z)if(cn)if(Z==cn)kD(Z.a,o);else{for(kD(Z.a,o),H=new Ww(cn.d);H.a<H.c.c.length;)B=uG(N3(H),12),VAn(q.f,B,Z);Ohn(Z.a,cn.a),Ohn(Z.d,cn.d),d.a.Bc(cn)}else kD(Z.a,o),kD(Z.d,an),VAn(q.f,an,Z);else kD(cn.a,o),kD(cn.d,nn),VAn(q.f,nn,cn);else w=new BF,d.a.zc(w,d),kD(w.a,o),kD(w.d,nn),VAn(q.f,nn,w),kD(w.d,an),VAn(q.f,an,w);for(g=uG(oTn(d,Inn(QEt,{3:1,4:1,5:1,2045:1},477,d.a.gc(),0,1)),2045),P=t[0].c,J=i[0].c,l=0,b=(f=g).length;l<b;++l)for((h=f[l]).e=Y,h.f=rn,G=new Ww(h.d);G.a<G.c.c.length;)U=uG(N3(G),12),V=n.a[U.p],U.i.c==P?(V<h.e&&(h.e=V),V>h.b&&(h.b=V)):U.i.c==J&&(V<h.f&&(h.f=V),V>h.c&&(h.c=V));for(Ntn(g,0,g.length,null),en=Inn(YHt,W1n,28,g.length,15,1),r=Inn(YHt,W1n,28,rn+1,15,1),m=0;m<g.length;m++)en[m]=g[m].f,r[en[m]]=1;for(a=0,v=0;v<r.length;v++)1==r[v]?r[v]=a:--a;for(W=0,k=0;k<en.length;k++)en[k]+=r[en[k]],W=e.Math.max(W,en[k]+1);for(s=1;s<W;)s*=2;for(un=2*s-1,s-=1,on=Inn(YHt,W1n,28,un,15,1),c=0,E=0;E<en.length;E++)for(++on[j=en[E]+s];j>0;)j%2>0&&(c+=on[j+1]),++on[j=(j-1)/2|0];for(S=Inn(ZEt,EZn,374,2*g.length,0,1),y=0;y<g.length;y++)S[2*y]=new bY(g[y],g[y].e,g[y].b,(Z6(),YEt)),S[2*y+1]=new bY(g[y],g[y].b,g[y].e,JEt);for(Ntn(S,0,S.length,null),F=0,M=0;M<S.length;M++)switch(S[M].d.g){case 0:++F;break;case 1:c+=--F}for(Q=Inn(ZEt,EZn,374,2*g.length,0,1),T=0;T<g.length;T++)Q[2*T]=new bY(g[T],g[T].f,g[T].c,(Z6(),YEt)),Q[2*T+1]=new bY(g[T],g[T].c,g[T].f,JEt);for(Ntn(Q,0,Q.length,null),F=0,p=0;p<Q.length;p++)switch(Q[p].d.g){case 0:++F;break;case 1:c+=--F}return c}function QYn(){QYn=E,OHt=new Qm(7),AHt=new IX(8,94),new IX(8,64),LHt=new IX(8,36),KHt=new IX(8,65),FHt=new IX(8,122),_Ht=new IX(8,90),UHt=new IX(8,98),xHt=new IX(8,66),BHt=new IX(8,60),GHt=new IX(8,62),IHt=new Qm(11),HFn(CHt=new K3(4),48,57),HFn(HHt=new K3(4),48,57),HFn(HHt,65,90),HFn(HHt,95,95),HFn(HHt,97,122),HFn(RHt=new K3(4),9,9),HFn(RHt,10,10),HFn(RHt,12,12),HFn(RHt,13,13),HFn(RHt,32,32),NHt=FGn(CHt),DHt=FGn(HHt),$Ht=FGn(RHt),jHt=new Ym,EHt=new Ym,SHt=Uhn(cT($ot,1),zZn,2,6,["Cn","Lu","Ll","Lt","Lm","Lo","Mn","Me","Mc","Nd","Nl","No","Zs","Zl","Zp","Cc","Cf",null,"Co","Cs","Pd","Ps","Pe","Pc","Po","Sm","Sc","Sk","So","Pi","Pf","L","M","N","Z","C","P","S"]),THt=Uhn(cT($ot,1),zZn,2,6,["Basic Latin","Latin-1 Supplement","Latin Extended-A","Latin Extended-B","IPA Extensions","Spacing Modifier Letters","Combining Diacritical Marks","Greek","Cyrillic","Armenian","Hebrew","Arabic","Syriac","Thaana","Devanagari","Bengali","Gurmukhi","Gujarati","Oriya","Tamil","Telugu","Kannada","Malayalam","Sinhala","Thai","Lao","Tibetan","Myanmar","Georgian","Hangul Jamo","Ethiopic","Cherokee","Unified Canadian Aboriginal Syllabics","Ogham","Runic","Khmer","Mongolian","Latin Extended Additional","Greek Extended","General Punctuation","Superscripts and Subscripts","Currency Symbols","Combining Marks for Symbols","Letterlike Symbols","Number Forms","Arrows","Mathematical Operators","Miscellaneous Technical","Control Pictures","Optical Character Recognition","Enclosed Alphanumerics","Box Drawing","Block Elements","Geometric Shapes","Miscellaneous Symbols","Dingbats","Braille Patterns","CJK Radicals Supplement","Kangxi Radicals","Ideographic Description Characters","CJK Symbols and Punctuation","Hiragana","Katakana","Bopomofo","Hangul Compatibility Jamo","Kanbun","Bopomofo Extended","Enclosed CJK Letters and Months","CJK Compatibility","CJK Unified Ideographs Extension A","CJK Unified Ideographs","Yi Syllables","Yi Radicals","Hangul Syllables",eat,"CJK Compatibility Ideographs","Alphabetic Presentation Forms","Arabic Presentation Forms-A","Combining Half Marks","CJK Compatibility Forms","Small Form Variants","Arabic Presentation Forms-B","Specials","Halfwidth and Fullwidth Forms","Old Italic","Gothic","Deseret","Byzantine Musical Symbols","Musical Symbols","Mathematical Alphanumeric Symbols","CJK Unified Ideographs Extension B","CJK Compatibility Ideographs Supplement","Tags"]),PHt=Uhn(cT(YHt,1),W1n,28,15,[66304,66351,66352,66383,66560,66639,118784,119039,119040,119295,119808,120831,131072,173782,194560,195103,917504,917631])}function JYn(){JYn=E,oht=new pun("OUT_T_L",0,(Ktn(),Ast),(Yen(),Rst),(Yrn(),jst),jst,Uhn(cT(kat,1),EZn,21,0,[WX((VDn(),qxt),Uhn(cT(eRt,1),p1n,95,0,[Vxt,Bxt]))])),aht=new pun("OUT_T_C",1,Ost,Rst,jst,Est,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,_xt])),WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,_xt,Hxt]))])),uht=new pun("OUT_T_R",2,Lst,Rst,jst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Uxt]))])),Yst=new pun("OUT_B_L",3,Ast,Fst,Sst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Bxt]))])),Jst=new pun("OUT_B_C",4,Ost,Fst,Sst,Est,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,_xt])),WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,_xt,Hxt]))])),Zst=new pun("OUT_B_R",5,Lst,Fst,Sst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Uxt]))])),eht=new pun("OUT_L_T",6,Lst,Fst,jst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Bxt,Vxt,Hxt]))])),tht=new pun("OUT_L_C",7,Lst,Kst,Est,jst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Bxt,zxt])),WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Bxt,zxt,Hxt]))])),nht=new pun("OUT_L_B",8,Lst,Rst,Sst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Bxt,Xxt,Hxt]))])),cht=new pun("OUT_R_T",9,Ast,Fst,jst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Uxt,Vxt,Hxt]))])),rht=new pun("OUT_R_C",10,Ast,Kst,Est,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Uxt,zxt])),WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Uxt,zxt,Hxt]))])),iht=new pun("OUT_R_B",11,Ast,Rst,Sst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Uxt,Xxt,Hxt]))])),Wst=new pun("IN_T_L",12,Ast,Fst,jst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Bxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Bxt,Hxt]))])),Vst=new pun("IN_T_C",13,Ost,Fst,jst,Est,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,_xt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,_xt,Hxt]))])),Qst=new pun("IN_T_R",14,Lst,Fst,jst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Uxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Uxt,Hxt]))])),Xst=new pun("IN_C_L",15,Ast,Kst,Est,jst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,Bxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,Bxt,Hxt]))])),qst=new pun("IN_C_C",16,Ost,Kst,Est,Est,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,_xt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,_xt,Hxt]))])),zst=new pun("IN_C_R",17,Lst,Kst,Est,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,Uxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,Uxt,Hxt]))])),Ust=new pun("IN_B_L",18,Ast,Rst,Sst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Bxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Bxt,Hxt]))])),Hst=new pun("IN_B_C",19,Ost,Rst,Sst,Est,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,_xt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,_xt,Hxt]))])),Gst=new pun("IN_B_R",20,Lst,Rst,Sst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Uxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Uxt,Hxt]))])),sht=new pun(Y2n,21,null,null,null,null,Uhn(cT(kat,1),EZn,21,0,[]))}function YYn(){YYn=E,j_t=(tQ(),M_t).b,uG(zrn(gZ(M_t.b),0),35),uG(zrn(gZ(M_t.b),1),19),T_t=M_t.a,uG(zrn(gZ(M_t.a),0),35),uG(zrn(gZ(M_t.a),1),19),uG(zrn(gZ(M_t.a),2),19),uG(zrn(gZ(M_t.a),3),19),uG(zrn(gZ(M_t.a),4),19),E_t=M_t.o,uG(zrn(gZ(M_t.o),0),35),uG(zrn(gZ(M_t.o),1),35),P_t=uG(zrn(gZ(M_t.o),2),19),uG(zrn(gZ(M_t.o),3),19),uG(zrn(gZ(M_t.o),4),19),uG(zrn(gZ(M_t.o),5),19),uG(zrn(gZ(M_t.o),6),19),uG(zrn(gZ(M_t.o),7),19),uG(zrn(gZ(M_t.o),8),19),uG(zrn(gZ(M_t.o),9),19),uG(zrn(gZ(M_t.o),10),19),uG(zrn(gZ(M_t.o),11),19),uG(zrn(gZ(M_t.o),12),19),uG(zrn(gZ(M_t.o),13),19),uG(zrn(gZ(M_t.o),14),19),uG(zrn(gZ(M_t.o),15),19),uG(zrn(dZ(M_t.o),0),62),uG(zrn(dZ(M_t.o),1),62),uG(zrn(dZ(M_t.o),2),62),uG(zrn(dZ(M_t.o),3),62),uG(zrn(dZ(M_t.o),4),62),uG(zrn(dZ(M_t.o),5),62),uG(zrn(dZ(M_t.o),6),62),uG(zrn(dZ(M_t.o),7),62),uG(zrn(dZ(M_t.o),8),62),uG(zrn(dZ(M_t.o),9),62),S_t=M_t.p,uG(zrn(gZ(M_t.p),0),35),uG(zrn(gZ(M_t.p),1),35),uG(zrn(gZ(M_t.p),2),35),uG(zrn(gZ(M_t.p),3),35),uG(zrn(gZ(M_t.p),4),19),uG(zrn(gZ(M_t.p),5),19),uG(zrn(dZ(M_t.p),0),62),uG(zrn(dZ(M_t.p),1),62),C_t=M_t.q,uG(zrn(gZ(M_t.q),0),35),I_t=M_t.v,uG(zrn(gZ(M_t.v),0),19),uG(zrn(dZ(M_t.v),0),62),uG(zrn(dZ(M_t.v),1),62),uG(zrn(dZ(M_t.v),2),62),O_t=M_t.w,uG(zrn(gZ(M_t.w),0),35),uG(zrn(gZ(M_t.w),1),35),uG(zrn(gZ(M_t.w),2),35),uG(zrn(gZ(M_t.w),3),19),A_t=M_t.B,uG(zrn(gZ(M_t.B),0),19),uG(zrn(dZ(M_t.B),0),62),uG(zrn(dZ(M_t.B),1),62),uG(zrn(dZ(M_t.B),2),62),$_t=M_t.Q,uG(zrn(gZ(M_t.Q),0),19),uG(zrn(dZ(M_t.Q),0),62),D_t=M_t.R,uG(zrn(gZ(M_t.R),0),35),x_t=M_t.S,uG(zrn(dZ(M_t.S),0),62),uG(zrn(dZ(M_t.S),1),62),uG(zrn(dZ(M_t.S),2),62),uG(zrn(dZ(M_t.S),3),62),uG(zrn(dZ(M_t.S),4),62),uG(zrn(dZ(M_t.S),5),62),uG(zrn(dZ(M_t.S),6),62),uG(zrn(dZ(M_t.S),7),62),uG(zrn(dZ(M_t.S),8),62),uG(zrn(dZ(M_t.S),9),62),uG(zrn(dZ(M_t.S),10),62),uG(zrn(dZ(M_t.S),11),62),uG(zrn(dZ(M_t.S),12),62),uG(zrn(dZ(M_t.S),13),62),uG(zrn(dZ(M_t.S),14),62),R_t=M_t.T,uG(zrn(gZ(M_t.T),0),19),uG(zrn(gZ(M_t.T),2),19),K_t=uG(zrn(gZ(M_t.T),3),19),uG(zrn(gZ(M_t.T),4),19),uG(zrn(dZ(M_t.T),0),62),uG(zrn(dZ(M_t.T),1),62),uG(zrn(gZ(M_t.T),1),19),F_t=M_t.U,uG(zrn(gZ(M_t.U),0),35),uG(zrn(gZ(M_t.U),1),35),uG(zrn(gZ(M_t.U),2),19),uG(zrn(gZ(M_t.U),3),19),uG(zrn(gZ(M_t.U),4),19),uG(zrn(gZ(M_t.U),5),19),uG(zrn(dZ(M_t.U),0),62),__t=M_t.V,uG(zrn(gZ(M_t.V),0),19),B_t=M_t.W,uG(zrn(gZ(M_t.W),0),35),uG(zrn(gZ(M_t.W),1),35),uG(zrn(gZ(M_t.W),2),35),uG(zrn(gZ(M_t.W),3),19),uG(zrn(gZ(M_t.W),4),19),uG(zrn(gZ(M_t.W),5),19),U_t=M_t.bb,uG(zrn(gZ(M_t.bb),0),35),uG(zrn(gZ(M_t.bb),1),35),uG(zrn(gZ(M_t.bb),2),35),uG(zrn(gZ(M_t.bb),3),35),uG(zrn(gZ(M_t.bb),4),35),uG(zrn(gZ(M_t.bb),5),35),uG(zrn(gZ(M_t.bb),6),35),uG(zrn(gZ(M_t.bb),7),19),uG(zrn(dZ(M_t.bb),0),62),uG(zrn(dZ(M_t.bb),1),62),G_t=M_t.eb,uG(zrn(gZ(M_t.eb),0),35),uG(zrn(gZ(M_t.eb),1),35),uG(zrn(gZ(M_t.eb),2),35),uG(zrn(gZ(M_t.eb),3),35),uG(zrn(gZ(M_t.eb),4),35),uG(zrn(gZ(M_t.eb),5),35),uG(zrn(gZ(M_t.eb),6),19),uG(zrn(gZ(M_t.eb),7),19),H_t=M_t.ab,uG(zrn(gZ(M_t.ab),0),35),uG(zrn(gZ(M_t.ab),1),35),L_t=M_t.H,uG(zrn(gZ(M_t.H),0),19),uG(zrn(gZ(M_t.H),1),19),uG(zrn(gZ(M_t.H),2),19),uG(zrn(gZ(M_t.H),3),19),uG(zrn(gZ(M_t.H),4),19),uG(zrn(gZ(M_t.H),5),19),uG(zrn(dZ(M_t.H),0),62),q_t=M_t.db,uG(zrn(gZ(M_t.db),0),19),N_t=M_t.M}function ZYn(n){var t;n.O||(n.O=!0,qon(n,"type"),Xon(n,"ecore.xml.type"),zon(n,lct),t=uG(jxn((MP(),l_t),lct),2044),ttn(n1(n.fb),n.b),A4(n.b,DBt,"AnyType",!1,!1,!0),mun(uG(zrn(gZ(n.b),0),35),n.wb.D,jrt,null,0,-1,DBt,!1,!1,!0,!1,!1,!1),mun(uG(zrn(gZ(n.b),1),35),n.wb.D,"any",null,0,-1,DBt,!0,!0,!0,!1,!1,!0),mun(uG(zrn(gZ(n.b),2),35),n.wb.D,"anyAttribute",null,0,-1,DBt,!1,!1,!0,!1,!1,!1),A4(n.bb,lHt,pct,!1,!1,!0),mun(uG(zrn(gZ(n.bb),0),35),n.gb,"data",null,0,1,lHt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.bb),1),35),n.gb,Ret,null,1,1,lHt,!1,!1,!0,!1,!0,!1),A4(n.fb,bHt,mct,!1,!1,!0),mun(uG(zrn(gZ(n.fb),0),35),t.gb,"rawValue",null,0,1,bHt,!0,!0,!0,!1,!0,!0),mun(uG(zrn(gZ(n.fb),1),35),t.a,uet,null,0,1,bHt,!0,!0,!0,!1,!0,!0),ujn(uG(zrn(gZ(n.fb),2),19),n.wb.q,null,"instanceType",1,1,bHt,!1,!1,!0,!1,!1,!1,!1),A4(n.qb,wHt,vct,!1,!1,!0),mun(uG(zrn(gZ(n.qb),0),35),n.wb.D,jrt,null,0,-1,null,!1,!1,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.qb),1),19),n.wb.ab,null,"xMLNSPrefixMap",0,-1,null,!0,!1,!0,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.qb),2),19),n.wb.ab,null,"xSISchemaLocation",0,-1,null,!0,!1,!0,!0,!1,!1,!1),mun(uG(zrn(gZ(n.qb),3),35),n.gb,"cDATA",null,0,-2,null,!0,!0,!0,!1,!1,!0),mun(uG(zrn(gZ(n.qb),4),35),n.gb,"comment",null,0,-2,null,!0,!0,!0,!1,!1,!0),ujn(uG(zrn(gZ(n.qb),5),19),n.bb,null,qct,0,-2,null,!0,!0,!0,!0,!1,!1,!0),mun(uG(zrn(gZ(n.qb),6),35),n.gb,get,null,0,-2,null,!0,!0,!0,!1,!1,!0),UJ(n.a,dat,"AnySimpleType",!0),UJ(n.c,$ot,"AnyURI",!0),UJ(n.d,cT(tUt,1),"Base64Binary",!0),UJ(n.e,ZHt,"Boolean",!0),UJ(n.f,cot,"BooleanObject",!0),UJ(n.g,tUt,"Byte",!0),UJ(n.i,uot,"ByteObject",!0),UJ(n.j,$ot,"Date",!0),UJ(n.k,$ot,"DateTime",!0),UJ(n.n,Bot,"Decimal",!0),UJ(n.o,eUt,"Double",!0),UJ(n.p,fot,"DoubleObject",!0),UJ(n.q,$ot,"Duration",!0),UJ(n.s,yat,"ENTITIES",!0),UJ(n.r,yat,"ENTITIESBase",!0),UJ(n.t,$ot,Ect,!0),UJ(n.u,iUt,"Float",!0),UJ(n.v,lot,"FloatObject",!0),UJ(n.w,$ot,"GDay",!0),UJ(n.B,$ot,"GMonth",!0),UJ(n.A,$ot,"GMonthDay",!0),UJ(n.C,$ot,"GYear",!0),UJ(n.D,$ot,"GYearMonth",!0),UJ(n.F,cT(tUt,1),"HexBinary",!0),UJ(n.G,$ot,"ID",!0),UJ(n.H,$ot,"IDREF",!0),UJ(n.J,yat,"IDREFS",!0),UJ(n.I,yat,"IDREFSBase",!0),UJ(n.K,YHt,"Int",!0),UJ(n.M,Xot,"Integer",!0),UJ(n.L,dot,"IntObject",!0),UJ(n.P,$ot,"Language",!0),UJ(n.Q,nUt,"Long",!0),UJ(n.R,yot,"LongObject",!0),UJ(n.S,$ot,"Name",!0),UJ(n.T,$ot,Sct,!0),UJ(n.U,Xot,"NegativeInteger",!0),UJ(n.V,$ot,xct,!0),UJ(n.X,yat,"NMTOKENS",!0),UJ(n.W,yat,"NMTOKENSBase",!0),UJ(n.Y,Xot,"NonNegativeInteger",!0),UJ(n.Z,Xot,"NonPositiveInteger",!0),UJ(n.$,$ot,"NormalizedString",!0),UJ(n._,$ot,"NOTATION",!0),UJ(n.ab,$ot,"PositiveInteger",!0),UJ(n.cb,$ot,"QName",!0),UJ(n.db,rUt,"Short",!0),UJ(n.eb,Tot,"ShortObject",!0),UJ(n.gb,$ot,C1n,!0),UJ(n.hb,$ot,"Time",!0),UJ(n.ib,$ot,"Token",!0),UJ(n.jb,rUt,"UnsignedByte",!0),UJ(n.kb,Tot,"UnsignedByteObject",!0),UJ(n.lb,nUt,"UnsignedInt",!0),UJ(n.mb,yot,"UnsignedIntObject",!0),UJ(n.nb,Xot,"UnsignedLong",!0),UJ(n.ob,YHt,"UnsignedShort",!0),UJ(n.pb,dot,"UnsignedShortObject",!0),nwn(n,lct),iZn(n))}function nZn(n,t,i,r){var c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I,O,A,L,N,$,D,x,R,K,F,_,B,H,U,G,q,X;if(r.$g())return hZ(),hZ(),zot;if(oM(gK(zDn(t,(XYn(),z$t)))))return hZ(),hZ(),zot;if(M=0!=(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a).i,T=!(j=bLn(t)).dc(),M||T){if(!(c=uG(zDn(t,yDt),143)))throw hv(new jM("Resolved algorithm is not set; apply a LayoutAlgorithmResolver before computing layout."));if(U=bA(c,(rDn(),yFt)),gkn(t),!M&&T&&!U)return hZ(),hZ(),zot;if(m=new Zm,xA(zDn(t,E$t))===xA((Own(),Ixt))&&(bA(c,mFt)||bA(c,pFt))){if(oM(gK(zDn(t,HDt))))throw hv(new jM("Topdown layout cannot be used together with hierarchy handling."));for(N=dBn(n,t),Qon($=new lS,(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));0!=$.b;)gkn(A=uG(0==$.b?null:(MK(0!=$.b),Lrn($,$.a.a)),27)),xA(zDn(A,E$t))===xA(Axt)||vnn(A,e$t)&&!k9(c,zDn(A,yDt))?(Ohn(m,nZn(n,A,i,r)),Myn(A,E$t,Axt),UHn(A)):Qon($,(!A.a&&(A.a=new fV(bFt,A,10,11)),A.a))}else{if(N=(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a).i,oM(gK(zDn(t,HDt)))){if((G=r.eh(1)).Ug(Lnt,1),null==zDn(t,UDt))throw hv(new jM(t.k+" has not been assigned a top-down node type."));if(uG(zDn(t,UDt),280)==(Iwn(),fKt)||uG(zDn(t,UDt),280)==bKt)for(p=new DD((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));p.e!=p.i.gc();)if(g=uG(Zkn(p),27),O=uG(zDn(g,yDt),143),(!g.a&&(g.a=new fV(bFt,g,10,11)),g.a).i>0&&(A1(O.f),0)){if(uG(zDn(g,UDt),280)==fKt)throw hv(new jM("Topdown Layout Providers should only be used on parallel nodes."));XA(A1(O.f)),null.Um(),vN(g,e.Math.max(g.g,null.Vm),e.Math.max(g.f,null.Vm))}else null!=zDn(g,VDt)&&(H=uG(zDn(g,VDt),347).Tg(g),vN(g,e.Math.max(g.g,H.a),e.Math.max(g.f,H.b)));if(D=uG(zDn(t,W$t),107),b=t.g-(D.b+D.c),l=t.f-(D.d+D.a),G.bh("Available Child Area: ("+b+"|"+l+")"),Myn(t,c$t,b/l),Mkn(t,c,r.eh(N)),uG(zDn(t,UDt),280)==bKt&&(VJn(t),vN(t,D.b+uM(pK(zDn(t,h$t)))+D.c,D.d+uM(pK(zDn(t,s$t)))+D.a)),G.bh("Executed layout algorithm: "+mK(zDn(t,e$t))+" on node "+t.k),uG(zDn(t,UDt),280)==fKt){if(b<0||l<0)throw hv(new jM("The size defined by the parent parallel node is too small for the space provided by the paddings of the child hierarchical node. "+t.k));for(vnn(t,h$t)||vnn(t,s$t)||VJn(t),d=uM(pK(zDn(t,h$t))),w=uM(pK(zDn(t,s$t))),G.bh("Desired Child Area: ("+d+"|"+w+")"),R=b/d,K=l/w,x=e.Math.min(R,e.Math.min(K,uM(pK(zDn(t,GDt))))),Myn(t,XDt,x),G.bh(t.k+" -- Local Scale Factor (X|Y): ("+R+"|"+K+")"),v=uG(zDn(t,l$t),21),a=0,o=0,x<R&&(v.Hc((ZSn(),VNt))?a=(b/2-d*x/2)/x:v.Hc(QNt)&&(a=(b-d*x)/x)),x<K&&(v.Hc((ZSn(),YNt))?o=(l/2-w*x/2)/x:v.Hc(JNt)&&(o=(l-w*x)/x)),q=a+(D.b/x-D.b),X=o+(D.d/x-D.d),G.bh("Shift: ("+q+"|"+X+")"),L=new DD((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));L.e!=L.i.gc();)ycn(A=uG(Zkn(L),27),A.i+q),Mcn(A,A.j+X);for(y=new DD((!t.b&&(t.b=new fV(aFt,t,12,3)),t.b));y.e!=y.i.gc();){for(_=new DD((!(k=uG(Zkn(y),74)).a&&(k.a=new fV(oFt,k,6,6)),k.a));_.e!=_.i.gc();)for(MN(F=uG(Zkn(_),166),F.j+q,F.k+X),yN(F,F.b+q,F.c+X),s=new DD((!F.a&&(F.a=new MD(eFt,F,5)),F.a));s.e!=s.i.gc();)mN(u=uG(Zkn(s),377),u.a+q,u.b+X);for(I=new DD((!k.n&&(k.n=new fV(lFt,k,1,7)),k.n));I.e!=I.i.gc();)kN(C=uG(Zkn(I),135),C.i+q,C.j+X);for(S=Fkn(P=uG(zDn(k,L$t),75),0);S.b!=S.d.c;)(E=uG(I6(S),8)).a+=q,E.b+=X;Myn(k,L$t,P)}}G.Vg()}for(f=new DD((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));f.e!=f.i.gc();)Ohn(m,nZn(n,h=uG(Zkn(f),27),i,r)),UHn(h)}if(r.$g())return hZ(),hZ(),zot;for(B=new Ww(m);B.a<B.c.c.length;)Myn(uG(N3(B),74),z$t,(qx(),!0));return oM(gK(zDn(t,HDt)))||Mkn(t,c,r.eh(N)),yUn(m),T&&U?j:(hZ(),hZ(),zot)}return hZ(),hZ(),zot}function tZn(n,t){var e;return yHt||(yHt=new Ym,MHt=new Ym,QYn(),QYn(),zmn(e=new K3(4),"\t\n\r\r "),r2(yHt,Jct,e),r2(MHt,Jct,FGn(e)),zmn(e=new K3(4),nat),r2(yHt,Wct,e),r2(MHt,Wct,FGn(e)),zmn(e=new K3(4),nat),r2(yHt,Wct,e),r2(MHt,Wct,FGn(e)),zmn(e=new K3(4),tat),TXn(e,uG(U1(yHt,Wct),122)),r2(yHt,Qct,e),r2(MHt,Qct,FGn(e)),zmn(e=new 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K3(4),tat),HFn(e,95,95),HFn(e,58,58),r2(yHt,Zct,e),r2(MHt,Zct,FGn(e))),uG(U1(t?yHt:MHt,n),138)}function eZn(n){hP(n,new hCn(_T(xT(FT(DT(KT(RT(new bu,S0n),"ELK Layered"),"Layer-based algorithm provided by the Eclipse Layout Kernel. Arranges as many edges as possible into one direction by placing nodes into subsequent layers. This implementation supports different routing styles (straight, orthogonal, splines); if orthogonal routing is selected, arbitrary port constraints are respected, thus enabling the layout of block diagrams such as actor-oriented models or circuit schematics. Furthermore, full layout of compound graphs with cross-hierarchy edges is supported when the respective option is activated on the top level."),new 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rZn(n){return m_("_UI_EMFDiagnostic_marker",n)?"EMF Problem":m_("_UI_CircularContainment_diagnostic",n)?"An object may not circularly contain itself":m_(nit,n)?"Wrong character.":m_(tit,n)?"Invalid reference number.":m_(eit,n)?"A character is required after \\.":m_(iit,n)?"'?' is not expected. '(?:' or '(?=' or '(?!' or '(?<' or '(?#' or '(?>'?":m_(rit,n)?"'(?<' or '(?<!' is expected.":m_(cit,n)?"A comment is not terminated.":m_(ait,n)?"')' is expected.":m_(oit,n)?"Unexpected end of the pattern in a modifier group.":m_(uit,n)?"':' is expected.":m_(sit,n)?"Unexpected end of the pattern in a conditional group.":m_(hit,n)?"A back reference or an anchor or a lookahead or a look-behind is expected in a conditional pattern.":m_(fit,n)?"There are more than three choices in a conditional group.":m_(lit,n)?"A character in U+0040-U+005f must follow \\c.":m_(bit,n)?"A '{' is required before a character category.":m_(wit,n)?"A property name is not closed by '}'.":m_(dit,n)?"Unexpected meta character.":m_(git,n)?"Unknown property.":m_(pit,n)?"A POSIX character class must be closed by ':]'.":m_(mit,n)?"Unexpected end of the pattern in a character class.":m_(vit,n)?"Unknown name for a POSIX character class.":m_("parser.cc.4",n)?"'-' is invalid here.":m_(kit,n)?"']' is expected.":m_(yit,n)?"'[' is invalid in a character class. Write '\\['.":m_(Mit,n)?"']' is invalid in a character class. Write '\\]'.":m_(Tit,n)?"'-' is an invalid character range. Write '\\-'.":m_(jit,n)?"'[' is expected.":m_(Eit,n)?"')' or '-[' or '+[' or '&[' is expected.":m_(Sit,n)?"The range end code point is less than the start code point.":m_(Pit,n)?"Invalid Unicode hex notation.":m_(Cit,n)?"Overflow in a hex notation.":m_(Iit,n)?"'\\x{' must be closed by '}'.":m_(Oit,n)?"Invalid Unicode code point.":m_(Ait,n)?"An anchor must not be here.":m_(Lit,n)?"This expression is not supported in the current option setting.":m_(Nit,n)?"Invalid quantifier. A digit is expected.":m_($it,n)?"Invalid quantifier. Invalid quantity or a '}' is missing.":m_(Dit,n)?"Invalid quantifier. A digit or '}' is expected.":m_(xit,n)?"Invalid quantifier. A min quantity must be <= a max quantity.":m_(Rit,n)?"Invalid quantifier. A quantity value overflow.":m_("_UI_PackageRegistry_extensionpoint",n)?"Ecore Package Registry for Generated Packages":m_("_UI_DynamicPackageRegistry_extensionpoint",n)?"Ecore Package Registry for Dynamic Packages":m_("_UI_FactoryRegistry_extensionpoint",n)?"Ecore Factory Override Registry":m_("_UI_URIExtensionParserRegistry_extensionpoint",n)?"URI Extension Parser Registry":m_("_UI_URIProtocolParserRegistry_extensionpoint",n)?"URI Protocol Parser Registry":m_("_UI_URIContentParserRegistry_extensionpoint",n)?"URI Content Parser Registry":m_("_UI_ContentHandlerRegistry_extensionpoint",n)?"Content Handler Registry":m_("_UI_URIMappingRegistry_extensionpoint",n)?"URI Converter Mapping Registry":m_("_UI_PackageRegistryImplementation_extensionpoint",n)?"Ecore Package Registry Implementation":m_("_UI_ValidationDelegateRegistry_extensionpoint",n)?"Validation Delegate Registry":m_("_UI_SettingDelegateRegistry_extensionpoint",n)?"Feature Setting Delegate Factory 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containment reference":m_("_UI_EReferenceConsistentUnique_diagnostic",n)?"A containment or bidirectional reference must be unique if its upper bound is different from 1":m_("_UI_ETypedElementNoType_diagnostic",n)?"The typed element must have a type":m_("_UI_EAttributeNoDataType_diagnostic",n)?"The generic attribute type must not refer to a class":m_("_UI_EReferenceNoClass_diagnostic",n)?"The generic reference type must not refer to a data type":m_("_UI_EGenericTypeNoTypeParameterAndClassifier_diagnostic",n)?"A generic type can't refer to both a type parameter and a classifier":m_("_UI_EGenericTypeNoClass_diagnostic",n)?"A generic super type must refer to a class":m_("_UI_EGenericTypeNoTypeParameterOrClassifier_diagnostic",n)?"A generic type in this context must refer to a classifier or a type parameter":m_("_UI_EGenericTypeBoundsOnlyForTypeArgument_diagnostic",n)?"A generic type may have bounds only when used as a type argument":m_("_UI_EGenericTypeNoUpperAndLowerBound_diagnostic",n)?"A generic type must not have both a lower and an upper bound":m_("_UI_EGenericTypeNoTypeParameterOrClassifierAndBound_diagnostic",n)?"A generic type with bounds must not also refer to a type parameter or classifier":m_("_UI_EGenericTypeNoArguments_diagnostic",n)?"A generic type may have arguments only if it refers to a classifier":m_("_UI_EGenericTypeOutOfScopeTypeParameter_diagnostic",n)?"A generic type may only refer to a type parameter that is in scope":n}function cZn(n){var t,e,i,r,c,a,o;n.r||(n.r=!0,qon(n,"graph"),Xon(n,"graph"),zon(n,aet),mhn(n.o,"T"),ttn(n1(n.a),n.p),ttn(n1(n.f),n.a),ttn(n1(n.n),n.f),ttn(n1(n.g),n.n),ttn(n1(n.c),n.n),ttn(n1(n.i),n.c),ttn(n1(n.j),n.c),ttn(n1(n.d),n.f),ttn(n1(n.e),n.a),A4(n.p,Pht,m3n,!0,!0,!1),o=_hn(a=Kln(n.p,n.p,"setProperty")),t=NY(n.o),e=new ev,ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),rPn(e,i=$Y(o)),OSn(a,t,oet),OSn(a,t=$Y(o),uet),o=_hn(a=Kln(n.p,null,"getProperty")),t=NY(n.o),e=$Y(o),ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),OSn(a,t,oet),(c=CCn(a,t=$Y(o),null))&&c.oj(),a=Kln(n.p,n.wb.e,"hasProperty"),t=NY(n.o),e=new ev,ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),OSn(a,t,oet),djn(a=Kln(n.p,n.p,"copyProperties"),n.p,set),a=Kln(n.p,null,"getAllProperties"),t=NY(n.wb.P),e=NY(n.o),ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),i=new ev,ttn((!e.d&&(e.d=new MD(g_t,e,1)),e.d),i),e=NY(n.wb.M),ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),(r=CCn(a,t,null))&&r.oj(),A4(n.a,tFt,Att,!0,!1,!0),ujn(uG(zrn(gZ(n.a),0),19),n.k,null,het,0,-1,tFt,!1,!1,!0,!0,!1,!1,!1),A4(n.f,iFt,Ntt,!0,!1,!0),ujn(uG(zrn(gZ(n.f),0),19),n.g,uG(zrn(gZ(n.g),0),19),"labels",0,-1,iFt,!1,!1,!0,!0,!1,!1,!1),mun(uG(zrn(gZ(n.f),1),35),n.wb._,fet,null,0,1,iFt,!1,!1,!0,!1,!0,!1),A4(n.n,rFt,"ElkShape",!0,!1,!0),mun(uG(zrn(gZ(n.n),0),35),n.wb.t,bet,N0n,1,1,rFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.n),1),35),n.wb.t,wet,N0n,1,1,rFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.n),2),35),n.wb.t,"x",N0n,1,1,rFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.n),3),35),n.wb.t,"y",N0n,1,1,rFt,!1,!1,!0,!1,!0,!1),djn(a=Kln(n.n,null,"setDimensions"),n.wb.t,wet),djn(a,n.wb.t,bet),djn(a=Kln(n.n,null,"setLocation"),n.wb.t,"x"),djn(a,n.wb.t,"y"),A4(n.g,lFt,Ftt,!1,!1,!0),ujn(uG(zrn(gZ(n.g),0),19),n.f,uG(zrn(gZ(n.f),0),19),det,0,1,lFt,!1,!1,!0,!1,!1,!1,!1),mun(uG(zrn(gZ(n.g),1),35),n.wb._,get,"",0,1,lFt,!1,!1,!0,!1,!0,!1),A4(n.c,cFt,$tt,!0,!1,!0),ujn(uG(zrn(gZ(n.c),0),19),n.d,uG(zrn(gZ(n.d),1),19),"outgoingEdges",0,-1,cFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.c),1),19),n.d,uG(zrn(gZ(n.d),2),19),"incomingEdges",0,-1,cFt,!1,!1,!0,!1,!0,!1,!1),A4(n.i,bFt,_tt,!1,!1,!0),ujn(uG(zrn(gZ(n.i),0),19),n.j,uG(zrn(gZ(n.j),0),19),"ports",0,-1,bFt,!1,!1,!0,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.i),1),19),n.i,uG(zrn(gZ(n.i),2),19),pet,0,-1,bFt,!1,!1,!0,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.i),2),19),n.i,uG(zrn(gZ(n.i),1),19),det,0,1,bFt,!1,!1,!0,!1,!1,!1,!1),ujn(uG(zrn(gZ(n.i),3),19),n.d,uG(zrn(gZ(n.d),0),19),"containedEdges",0,-1,bFt,!1,!1,!0,!0,!1,!1,!1),mun(uG(zrn(gZ(n.i),4),35),n.wb.e,met,null,0,1,bFt,!0,!0,!1,!1,!0,!0),A4(n.j,wFt,Btt,!1,!1,!0),ujn(uG(zrn(gZ(n.j),0),19),n.i,uG(zrn(gZ(n.i),0),19),det,0,1,wFt,!1,!1,!0,!1,!1,!1,!1),A4(n.d,aFt,Dtt,!1,!1,!0),ujn(uG(zrn(gZ(n.d),0),19),n.i,uG(zrn(gZ(n.i),3),19),"containingNode",0,1,aFt,!1,!1,!0,!1,!1,!1,!1),ujn(uG(zrn(gZ(n.d),1),19),n.c,uG(zrn(gZ(n.c),0),19),vet,0,-1,aFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.d),2),19),n.c,uG(zrn(gZ(n.c),1),19),ket,0,-1,aFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.d),3),19),n.e,uG(zrn(gZ(n.e),5),19),yet,0,-1,aFt,!1,!1,!0,!0,!1,!1,!1),mun(uG(zrn(gZ(n.d),4),35),n.wb.e,"hyperedge",null,0,1,aFt,!0,!0,!1,!1,!0,!0),mun(uG(zrn(gZ(n.d),5),35),n.wb.e,met,null,0,1,aFt,!0,!0,!1,!1,!0,!0),mun(uG(zrn(gZ(n.d),6),35),n.wb.e,"selfloop",null,0,1,aFt,!0,!0,!1,!1,!0,!0),mun(uG(zrn(gZ(n.d),7),35),n.wb.e,"connected",null,0,1,aFt,!0,!0,!1,!1,!0,!0),A4(n.b,eFt,Ltt,!1,!1,!0),mun(uG(zrn(gZ(n.b),0),35),n.wb.t,"x",N0n,1,1,eFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.b),1),35),n.wb.t,"y",N0n,1,1,eFt,!1,!1,!0,!1,!0,!1),djn(a=Kln(n.b,null,"set"),n.wb.t,"x"),djn(a,n.wb.t,"y"),A4(n.e,oFt,xtt,!1,!1,!0),mun(uG(zrn(gZ(n.e),0),35),n.wb.t,"startX",null,0,1,oFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.e),1),35),n.wb.t,"startY",null,0,1,oFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.e),2),35),n.wb.t,"endX",null,0,1,oFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.e),3),35),n.wb.t,"endY",null,0,1,oFt,!1,!1,!0,!1,!0,!1),ujn(uG(zrn(gZ(n.e),4),19),n.b,null,Met,0,-1,oFt,!1,!1,!0,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.e),5),19),n.d,uG(zrn(gZ(n.d),3),19),det,0,1,oFt,!1,!1,!0,!1,!1,!1,!1),ujn(uG(zrn(gZ(n.e),6),19),n.c,null,Tet,0,1,oFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.e),7),19),n.c,null,jet,0,1,oFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.e),8),19),n.e,uG(zrn(gZ(n.e),9),19),Eet,0,-1,oFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.e),9),19),n.e,uG(zrn(gZ(n.e),8),19),Set,0,-1,oFt,!1,!1,!0,!1,!0,!1,!1),mun(uG(zrn(gZ(n.e),10),35),n.wb._,fet,null,0,1,oFt,!1,!1,!0,!1,!0,!1),djn(a=Kln(n.e,null,"setStartLocation"),n.wb.t,"x"),djn(a,n.wb.t,"y"),djn(a=Kln(n.e,null,"setEndLocation"),n.wb.t,"x"),djn(a,n.wb.t,"y"),A4(n.k,Sat,"ElkPropertyToValueMapEntry",!1,!1,!1),t=NY(n.o),e=new ev,ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),N$n(uG(zrn(gZ(n.k),0),35),t,"key",Sat,!1,!1,!0,!1),mun(uG(zrn(gZ(n.k),1),35),n.s,uet,null,0,1,Sat,!1,!1,!0,!1,!0,!1),UJ(n.o,lNt,"IProperty",!0),UJ(n.s,dat,"PropertyValue",!0),nwn(n,aet))}function aZn(){aZn=E,(vHt=Inn(tUt,ret,28,P0n,15,1))[9]=35,vHt[10]=19,vHt[13]=19,vHt[32]=51,vHt[33]=49,vHt[34]=33,qV(vHt,35,38,49),vHt[38]=1,qV(vHt,39,45,49),qV(vHt,45,47,-71),vHt[47]=49,qV(vHt,48,58,-71),vHt[58]=61,vHt[59]=49,vHt[60]=1,vHt[61]=49,vHt[62]=33,qV(vHt,63,65,49),qV(vHt,65,91,-3),qV(vHt,91,93,33),vHt[93]=1,vHt[94]=33,vHt[95]=-3,vHt[96]=33,qV(vHt,97,123,-3),qV(vHt,123,183,33),vHt[183]=-87,qV(vHt,184,192,33),qV(vHt,192,215,-19),vHt[215]=33,qV(vHt,216,247,-19),vHt[247]=33,qV(vHt,248,306,-19),qV(vHt,306,308,33),qV(vHt,308,319,-19),qV(vHt,319,321,33),qV(vHt,321,329,-19),vHt[329]=33,qV(vHt,330,383,-19),vHt[383]=33,qV(vHt,384,452,-19),qV(vHt,452,461,33),qV(vHt,461,497,-19),qV(vHt,497,500,33),qV(vHt,500,502,-19),qV(vHt,502,506,33),qV(vHt,506,536,-19),qV(vHt,536,592,33),qV(vHt,592,681,-19),qV(vHt,681,699,33),qV(vHt,699,706,-19),qV(vHt,706,720,33),qV(vHt,720,722,-87),qV(vHt,722,768,33),qV(vHt,768,838,-87),qV(vHt,838,864,33),qV(vHt,864,866,-87),qV(vHt,866,902,33),vHt[902]=-19,vHt[903]=-87,qV(vHt,904,907,-19),vHt[907]=33,vHt[908]=-19,vHt[909]=33,qV(vHt,910,930,-19),vHt[930]=33,qV(vHt,931,975,-19),vHt[975]=33,qV(vHt,976,983,-19),qV(vHt,983,986,33),vHt[986]=-19,vHt[987]=33,vHt[988]=-19,vHt[989]=33,vHt[990]=-19,vHt[991]=33,vHt[992]=-19,vHt[993]=33,qV(vHt,994,1012,-19),qV(vHt,1012,1025,33),qV(vHt,1025,1037,-19),vHt[1037]=33,qV(vHt,1038,1104,-19),vHt[1104]=33,qV(vHt,1105,1117,-19),vHt[1117]=33,qV(vHt,1118,1154,-19),vHt[1154]=33,qV(vHt,1155,1159,-87),qV(vHt,1159,1168,33),qV(vHt,1168,1221,-19),qV(vHt,1221,1223,33),qV(vHt,1223,1225,-19),qV(vHt,1225,1227,33),qV(vHt,1227,1229,-19),qV(vHt,1229,1232,33),qV(vHt,1232,1260,-19),qV(vHt,1260,1262,33),qV(vHt,1262,1270,-19),qV(vHt,1270,1272,33),qV(vHt,1272,1274,-19),qV(vHt,1274,1329,33),qV(vHt,1329,1367,-19),qV(vHt,1367,1369,33),vHt[1369]=-19,qV(vHt,1370,1377,33),qV(vHt,1377,1415,-19),qV(vHt,1415,1425,33),qV(vHt,1425,1442,-87),vHt[1442]=33,qV(vHt,1443,1466,-87),vHt[1466]=33,qV(vHt,1467,1470,-87),vHt[1470]=33,vHt[1471]=-87,vHt[1472]=33,qV(vHt,1473,1475,-87),vHt[1475]=33,vHt[1476]=-87,qV(vHt,1477,1488,33),qV(vHt,1488,1515,-19),qV(vHt,1515,1520,33),qV(vHt,1520,1523,-19),qV(vHt,1523,1569,33),qV(vHt,1569,1595,-19),qV(vHt,1595,1600,33),vHt[1600]=-87,qV(vHt,1601,1611,-19),qV(vHt,1611,1619,-87),qV(vHt,1619,1632,33),qV(vHt,1632,1642,-87),qV(vHt,1642,1648,33),vHt[1648]=-87,qV(vHt,1649,1720,-19),qV(vHt,1720,1722,33),qV(vHt,1722,1727,-19),vHt[1727]=33,qV(vHt,1728,1743,-19),vHt[1743]=33,qV(vHt,1744,1748,-19),vHt[1748]=33,vHt[1749]=-19,qV(vHt,1750,1765,-87),qV(vHt,1765,1767,-19),qV(vHt,1767,1769,-87),vHt[1769]=33,qV(vHt,1770,1774,-87),qV(vHt,1774,1776,33),qV(vHt,1776,1786,-87),qV(vHt,1786,2305,33),qV(vHt,2305,2308,-87),vHt[2308]=33,qV(vHt,2309,2362,-19),qV(vHt,2362,2364,33),vHt[2364]=-87,vHt[2365]=-19,qV(vHt,2366,2382,-87),qV(vHt,2382,2385,33),qV(vHt,2385,2389,-87),qV(vHt,2389,2392,33),qV(vHt,2392,2402,-19),qV(vHt,2402,2404,-87),qV(vHt,2404,2406,33),qV(vHt,2406,2416,-87),qV(vHt,2416,2433,33),qV(vHt,2433,2436,-87),vHt[2436]=33,qV(vHt,2437,2445,-19),qV(vHt,2445,2447,33),qV(vHt,2447,2449,-19),qV(vHt,2449,2451,33),qV(vHt,2451,2473,-19),vHt[2473]=33,qV(vHt,2474,2481,-19),vHt[2481]=33,vHt[2482]=-19,qV(vHt,2483,2486,33),qV(vHt,2486,2490,-19),qV(vHt,2490,2492,33),vHt[2492]=-87,vHt[2493]=33,qV(vHt,2494,2501,-87),qV(vHt,2501,2503,33),qV(vHt,2503,2505,-87),qV(vHt,2505,2507,33),qV(vHt,2507,2510,-87),qV(vHt,2510,2519,33),vHt[2519]=-87,qV(vHt,2520,2524,33),qV(vHt,2524,2526,-19),vHt[2526]=33,qV(vHt,2527,2530,-19),qV(vHt,2530,2532,-87),qV(vHt,2532,2534,33),qV(vHt,2534,2544,-87),qV(vHt,2544,2546,-19),qV(vHt,2546,2562,33),vHt[2562]=-87,qV(vHt,2563,2565,33),qV(vHt,2565,2571,-19),qV(vHt,2571,2575,33),qV(vHt,2575,2577,-19),qV(vHt,2577,2579,33),qV(vHt,2579,2601,-19),vHt[2601]=33,qV(vHt,2602,2609,-19),vHt[2609]=33,qV(vHt,2610,2612,-19),vHt[2612]=33,qV(vHt,2613,2615,-19),vHt[2615]=33,qV(vHt,2616,2618,-19),qV(vHt,2618,2620,33),vHt[2620]=-87,vHt[2621]=33,qV(vHt,2622,2627,-87),qV(vHt,2627,2631,33),qV(vHt,2631,2633,-87),qV(vHt,2633,2635,33),qV(vHt,2635,2638,-87),qV(vHt,2638,2649,33),qV(vHt,2649,2653,-19),vHt[2653]=33,vHt[2654]=-19,qV(vHt,2655,2662,33),qV(vHt,2662,2674,-87),qV(vHt,2674,2677,-19),qV(vHt,2677,2689,33),qV(vHt,2689,2692,-87),vHt[2692]=33,qV(vHt,2693,2700,-19),vHt[2700]=33,vHt[2701]=-19,vHt[2702]=33,qV(vHt,2703,2706,-19),vHt[2706]=33,qV(vHt,2707,2729,-19),vHt[2729]=33,qV(vHt,2730,2737,-19),vHt[2737]=33,qV(vHt,2738,2740,-19),vHt[2740]=33,qV(vHt,2741,2746,-19),qV(vHt,2746,2748,33),vHt[2748]=-87,vHt[2749]=-19,qV(vHt,2750,2758,-87),vHt[2758]=33,qV(vHt,2759,2762,-87),vHt[2762]=33,qV(vHt,2763,2766,-87),qV(vHt,2766,2784,33),vHt[2784]=-19,qV(vHt,2785,2790,33),qV(vHt,2790,2800,-87),qV(vHt,2800,2817,33),qV(vHt,2817,2820,-87),vHt[2820]=33,qV(vHt,2821,2829,-19),qV(vHt,2829,2831,33),qV(vHt,2831,2833,-19),qV(vHt,2833,2835,33),qV(vHt,2835,2857,-19),vHt[2857]=33,qV(vHt,2858,2865,-19),vHt[2865]=33,qV(vHt,2866,2868,-19),qV(vHt,2868,2870,33),qV(vHt,2870,2874,-19),qV(vHt,2874,2876,33),vHt[2876]=-87,vHt[2877]=-19,qV(vHt,2878,2884,-87),qV(vHt,2884,2887,33),qV(vHt,2887,2889,-87),qV(vHt,2889,2891,33),qV(vHt,2891,2894,-87),qV(vHt,2894,2902,33),qV(vHt,2902,2904,-87),qV(vHt,2904,2908,33),qV(vHt,2908,2910,-19),vHt[2910]=33,qV(vHt,2911,2914,-19),qV(vHt,2914,2918,33),qV(vHt,2918,2928,-87),qV(vHt,2928,2946,33),qV(vHt,2946,2948,-87),vHt[2948]=33,qV(vHt,2949,2955,-19),qV(vHt,2955,2958,33),qV(vHt,2958,2961,-19),vHt[2961]=33,qV(vHt,2962,2966,-19),qV(vHt,2966,2969,33),qV(vHt,2969,2971,-19),vHt[2971]=33,vHt[2972]=-19,vHt[2973]=33,qV(vHt,2974,2976,-19),qV(vHt,2976,2979,33),qV(vHt,2979,2981,-19),qV(vHt,2981,2984,33),qV(vHt,2984,2987,-19),qV(vHt,2987,2990,33),qV(vHt,2990,2998,-19),vHt[2998]=33,qV(vHt,2999,3002,-19),qV(vHt,3002,3006,33),qV(vHt,3006,3011,-87),qV(vHt,3011,3014,33),qV(vHt,3014,3017,-87),vHt[3017]=33,qV(vHt,3018,3022,-87),qV(vHt,3022,3031,33),vHt[3031]=-87,qV(vHt,3032,3047,33),qV(vHt,3047,3056,-87),qV(vHt,3056,3073,33),qV(vHt,3073,3076,-87),vHt[3076]=33,qV(vHt,3077,3085,-19),vHt[3085]=33,qV(vHt,3086,3089,-19),vHt[3089]=33,qV(vHt,3090,3113,-19),vHt[3113]=33,qV(vHt,3114,3124,-19),vHt[3124]=33,qV(vHt,3125,3130,-19),qV(vHt,3130,3134,33),qV(vHt,3134,3141,-87),vHt[3141]=33,qV(vHt,3142,3145,-87),vHt[3145]=33,qV(vHt,3146,3150,-87),qV(vHt,3150,3157,33),qV(vHt,3157,3159,-87),qV(vHt,3159,3168,33),qV(vHt,3168,3170,-19),qV(vHt,3170,3174,33),qV(vHt,3174,3184,-87),qV(vHt,3184,3202,33),qV(vHt,3202,3204,-87),vHt[3204]=33,qV(vHt,3205,3213,-19),vHt[3213]=33,qV(vHt,3214,3217,-19),vHt[3217]=33,qV(vHt,3218,3241,-19),vHt[3241]=33,qV(vHt,3242,3252,-19),vHt[3252]=33,qV(vHt,3253,3258,-19),qV(vHt,3258,3262,33),qV(vHt,3262,3269,-87),vHt[3269]=33,qV(vHt,3270,3273,-87),vHt[3273]=33,qV(vHt,3274,3278,-87),qV(vHt,3278,3285,33),qV(vHt,3285,3287,-87),qV(vHt,3287,3294,33),vHt[3294]=-19,vHt[3295]=33,qV(vHt,3296,3298,-19),qV(vHt,3298,3302,33),qV(vHt,3302,3312,-87),qV(vHt,3312,3330,33),qV(vHt,3330,3332,-87),vHt[3332]=33,qV(vHt,3333,3341,-19),vHt[3341]=33,qV(vHt,3342,3345,-19),vHt[3345]=33,qV(vHt,3346,3369,-19),vHt[3369]=33,qV(vHt,3370,3386,-19),qV(vHt,3386,3390,33),qV(vHt,3390,3396,-87),qV(vHt,3396,3398,33),qV(vHt,3398,3401,-87),vHt[3401]=33,qV(vHt,3402,3406,-87),qV(vHt,3406,3415,33),vHt[3415]=-87,qV(vHt,3416,3424,33),qV(vHt,3424,3426,-19),qV(vHt,3426,3430,33),qV(vHt,3430,3440,-87),qV(vHt,3440,3585,33),qV(vHt,3585,3631,-19),vHt[3631]=33,vHt[3632]=-19,vHt[3633]=-87,qV(vHt,3634,3636,-19),qV(vHt,3636,3643,-87),qV(vHt,3643,3648,33),qV(vHt,3648,3654,-19),qV(vHt,3654,3663,-87),vHt[3663]=33,qV(vHt,3664,3674,-87),qV(vHt,3674,3713,33),qV(vHt,3713,3715,-19),vHt[3715]=33,vHt[3716]=-19,qV(vHt,3717,3719,33),qV(vHt,3719,3721,-19),vHt[3721]=33,vHt[3722]=-19,qV(vHt,3723,3725,33),vHt[3725]=-19,qV(vHt,3726,3732,33),qV(vHt,3732,3736,-19),vHt[3736]=33,qV(vHt,3737,3744,-19),vHt[3744]=33,qV(vHt,3745,3748,-19),vHt[3748]=33,vHt[3749]=-19,vHt[3750]=33,vHt[3751]=-19,qV(vHt,3752,3754,33),qV(vHt,3754,3756,-19),vHt[3756]=33,qV(vHt,3757,3759,-19),vHt[3759]=33,vHt[3760]=-19,vHt[3761]=-87,qV(vHt,3762,3764,-19),qV(vHt,3764,3770,-87),vHt[3770]=33,qV(vHt,3771,3773,-87),vHt[3773]=-19,qV(vHt,3774,3776,33),qV(vHt,3776,3781,-19),vHt[3781]=33,vHt[3782]=-87,vHt[3783]=33,qV(vHt,3784,3790,-87),qV(vHt,3790,3792,33),qV(vHt,3792,3802,-87),qV(vHt,3802,3864,33),qV(vHt,3864,3866,-87),qV(vHt,3866,3872,33),qV(vHt,3872,3882,-87),qV(vHt,3882,3893,33),vHt[3893]=-87,vHt[3894]=33,vHt[3895]=-87,vHt[3896]=33,vHt[3897]=-87,qV(vHt,3898,3902,33),qV(vHt,3902,3904,-87),qV(vHt,3904,3912,-19),vHt[3912]=33,qV(vHt,3913,3946,-19),qV(vHt,3946,3953,33),qV(vHt,3953,3973,-87),vHt[3973]=33,qV(vHt,3974,3980,-87),qV(vHt,3980,3984,33),qV(vHt,3984,3990,-87),vHt[3990]=33,vHt[3991]=-87,vHt[3992]=33,qV(vHt,3993,4014,-87),qV(vHt,4014,4017,33),qV(vHt,4017,4024,-87),vHt[4024]=33,vHt[4025]=-87,qV(vHt,4026,4256,33),qV(vHt,4256,4294,-19),qV(vHt,4294,4304,33),qV(vHt,4304,4343,-19),qV(vHt,4343,4352,33),vHt[4352]=-19,vHt[4353]=33,qV(vHt,4354,4356,-19),vHt[4356]=33,qV(vHt,4357,4360,-19),vHt[4360]=33,vHt[4361]=-19,vHt[4362]=33,qV(vHt,4363,4365,-19),vHt[4365]=33,qV(vHt,4366,4371,-19),qV(vHt,4371,4412,33),vHt[4412]=-19,vHt[4413]=33,vHt[4414]=-19,vHt[4415]=33,vHt[4416]=-19,qV(vHt,4417,4428,33),vHt[4428]=-19,vHt[4429]=33,vHt[4430]=-19,vHt[4431]=33,vHt[4432]=-19,qV(vHt,4433,4436,33),qV(vHt,4436,4438,-19),qV(vHt,4438,4441,33),vHt[4441]=-19,qV(vHt,4442,4447,33),qV(vHt,4447,4450,-19),vHt[4450]=33,vHt[4451]=-19,vHt[4452]=33,vHt[4453]=-19,vHt[4454]=33,vHt[4455]=-19,vHt[4456]=33,vHt[4457]=-19,qV(vHt,4458,4461,33),qV(vHt,4461,4463,-19),qV(vHt,4463,4466,33),qV(vHt,4466,4468,-19),vHt[4468]=33,vHt[4469]=-19,qV(vHt,4470,4510,33),vHt[4510]=-19,qV(vHt,4511,4520,33),vHt[4520]=-19,qV(vHt,4521,4523,33),vHt[4523]=-19,qV(vHt,4524,4526,33),qV(vHt,4526,4528,-19),qV(vHt,4528,4535,33),qV(vHt,4535,4537,-19),vHt[4537]=33,vHt[4538]=-19,vHt[4539]=33,qV(vHt,4540,4547,-19),qV(vHt,4547,4587,33),vHt[4587]=-19,qV(vHt,4588,4592,33),vHt[4592]=-19,qV(vHt,4593,4601,33),vHt[4601]=-19,qV(vHt,4602,7680,33),qV(vHt,7680,7836,-19),qV(vHt,7836,7840,33),qV(vHt,7840,7930,-19),qV(vHt,7930,7936,33),qV(vHt,7936,7958,-19),qV(vHt,7958,7960,33),qV(vHt,7960,7966,-19),qV(vHt,7966,7968,33),qV(vHt,7968,8006,-19),qV(vHt,8006,8008,33),qV(vHt,8008,8014,-19),qV(vHt,8014,8016,33),qV(vHt,8016,8024,-19),vHt[8024]=33,vHt[8025]=-19,vHt[8026]=33,vHt[8027]=-19,vHt[8028]=33,vHt[8029]=-19,vHt[8030]=33,qV(vHt,8031,8062,-19),qV(vHt,8062,8064,33),qV(vHt,8064,8117,-19),vHt[8117]=33,qV(vHt,8118,8125,-19),vHt[8125]=33,vHt[8126]=-19,qV(vHt,8127,8130,33),qV(vHt,8130,8133,-19),vHt[8133]=33,qV(vHt,8134,8141,-19),qV(vHt,8141,8144,33),qV(vHt,8144,8148,-19),qV(vHt,8148,8150,33),qV(vHt,8150,8156,-19),qV(vHt,8156,8160,33),qV(vHt,8160,8173,-19),qV(vHt,8173,8178,33),qV(vHt,8178,8181,-19),vHt[8181]=33,qV(vHt,8182,8189,-19),qV(vHt,8189,8400,33),qV(vHt,8400,8413,-87),qV(vHt,8413,8417,33),vHt[8417]=-87,qV(vHt,8418,8486,33),vHt[8486]=-19,qV(vHt,8487,8490,33),qV(vHt,8490,8492,-19),qV(vHt,8492,8494,33),vHt[8494]=-19,qV(vHt,8495,8576,33),qV(vHt,8576,8579,-19),qV(vHt,8579,12293,33),vHt[12293]=-87,vHt[12294]=33,vHt[12295]=-19,qV(vHt,12296,12321,33),qV(vHt,12321,12330,-19),qV(vHt,12330,12336,-87),vHt[12336]=33,qV(vHt,12337,12342,-87),qV(vHt,12342,12353,33),qV(vHt,12353,12437,-19),qV(vHt,12437,12441,33),qV(vHt,12441,12443,-87),qV(vHt,12443,12445,33),qV(vHt,12445,12447,-87),qV(vHt,12447,12449,33),qV(vHt,12449,12539,-19),vHt[12539]=33,qV(vHt,12540,12543,-87),qV(vHt,12543,12549,33),qV(vHt,12549,12589,-19),qV(vHt,12589,19968,33),qV(vHt,19968,40870,-19),qV(vHt,40870,44032,33),qV(vHt,44032,55204,-19),qV(vHt,55204,C0n,33),qV(vHt,57344,65534,33)}function oZn(n){var 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Stress",x4n="org.eclipse.elk.nodeSize.minimum",R4n="org.eclipse.elk.alg.force.stress",K4n="Layered layout",F4n="org.eclipse.elk.alg.layered",_4n="org.eclipse.elk.alg.layered.compaction.components",B4n="org.eclipse.elk.alg.layered.compaction.oned",H4n="org.eclipse.elk.alg.layered.compaction.oned.algs",U4n="org.eclipse.elk.alg.layered.compaction.recthull",G4n="org.eclipse.elk.alg.layered.components",q4n="NONE",X4n="MODEL_ORDER",z4n={3:1,6:1,4:1,9:1,5:1,126:1},V4n={3:1,6:1,4:1,5:1,150:1,100:1,115:1},W4n="org.eclipse.elk.alg.layered.compound",Q4n={47:1},J4n="org.eclipse.elk.alg.layered.graph",Y4n=" -> ",Z4n="Not supported by LGraph",n6n="Port side is undefined",t6n={3:1,6:1,4:1,5:1,482:1,150:1,100:1,115:1},e6n={3:1,6:1,4:1,5:1,150:1,199:1,210:1,100:1,115:1},i6n={3:1,6:1,4:1,5:1,150:1,2042:1,210:1,100:1,115:1},r6n="([{\"' \t\r\n",c6n=")]}\"' \t\r\n",a6n="The given string contains parts that cannot be parsed as numbers.",o6n="org.eclipse.elk.core.math",u6n={3:1,4:1,140:1,214:1,423:1},s6n={3:1,4:1,107:1,214:1,423:1},h6n="org.eclipse.elk.alg.layered.graph.transform",f6n="ElkGraphImporter",l6n="ElkGraphImporter/lambda$1$Type",b6n="ElkGraphImporter/lambda$2$Type",w6n="ElkGraphImporter/lambda$4$Type",d6n="org.eclipse.elk.alg.layered.intermediate",g6n="Node margin calculation",p6n="ONE_SIDED_GREEDY_SWITCH",m6n="TWO_SIDED_GREEDY_SWITCH",v6n="No implementation is available for the layout processor ",k6n="IntermediateProcessorStrategy",y6n="Node '",M6n="FIRST_SEPARATE",T6n="LAST_SEPARATE",j6n="Odd port side processing",E6n="org.eclipse.elk.alg.layered.intermediate.compaction",S6n="org.eclipse.elk.alg.layered.intermediate.greedyswitch",P6n="org.eclipse.elk.alg.layered.p3order.counting",C6n={230:1},I6n="org.eclipse.elk.alg.layered.intermediate.loops",O6n="org.eclipse.elk.alg.layered.intermediate.loops.ordering",A6n="org.eclipse.elk.alg.layered.intermediate.loops.routing",L6n="org.eclipse.elk.alg.layered.intermediate.preserveorder",N6n="org.eclipse.elk.alg.layered.intermediate.wrapping",$6n="org.eclipse.elk.alg.layered.options",D6n="INTERACTIVE",x6n="GREEDY",R6n="DEPTH_FIRST",K6n="EDGE_LENGTH",F6n="SELF_LOOPS",_6n="firstTryWithInitialOrder",B6n="org.eclipse.elk.layered.directionCongruency",H6n="org.eclipse.elk.layered.feedbackEdges",U6n="org.eclipse.elk.layered.interactiveReferencePoint",G6n="org.eclipse.elk.layered.mergeEdges",q6n="org.eclipse.elk.layered.mergeHierarchyEdges",X6n="org.eclipse.elk.layered.allowNonFlowPortsToSwitchSides",z6n="org.eclipse.elk.layered.portSortingStrategy",V6n="org.eclipse.elk.layered.thoroughness",W6n="org.eclipse.elk.layered.unnecessaryBendpoints",Q6n="org.eclipse.elk.layered.generatePositionAndLayerIds",J6n="org.eclipse.elk.layered.cycleBreaking.strategy",Y6n="org.eclipse.elk.layered.layering.strategy",Z6n="org.eclipse.elk.layered.layering.layerConstraint",n5n="org.eclipse.elk.layered.layering.layerChoiceConstraint",t5n="org.eclipse.elk.layered.layering.layerId",e5n="org.eclipse.elk.layered.layering.minWidth.upperBoundOnWidth",i5n="org.eclipse.elk.layered.layering.minWidth.upperLayerEstimationScalingFactor",r5n="org.eclipse.elk.layered.layering.nodePromotion.strategy",c5n="org.eclipse.elk.layered.layering.nodePromotion.maxIterations",a5n="org.eclipse.elk.layered.layering.coffmanGraham.layerBound",o5n="org.eclipse.elk.layered.crossingMinimization.strategy",u5n="org.eclipse.elk.layered.crossingMinimization.forceNodeModelOrder",s5n="org.eclipse.elk.layered.crossingMinimization.hierarchicalSweepiness",h5n="org.eclipse.elk.layered.crossingMinimization.semiInteractive",f5n="org.eclipse.elk.layered.crossingMinimization.inLayerPredOf",l5n="org.eclipse.elk.layered.crossingMinimization.inLayerSuccOf",b5n="org.eclipse.elk.layered.crossingMinimization.positionChoiceConstraint",w5n="org.eclipse.elk.layered.crossingMinimization.positionId",d5n="org.eclipse.elk.layered.crossingMinimization.greedySwitch.activationThreshold",g5n="org.eclipse.elk.layered.crossingMinimization.greedySwitch.type",p5n="org.eclipse.elk.layered.crossingMinimization.greedySwitchHierarchical.type",m5n="org.eclipse.elk.layered.nodePlacement.strategy",v5n="org.eclipse.elk.layered.nodePlacement.favorStraightEdges",k5n="org.eclipse.elk.layered.nodePlacement.bk.edgeStraightening",y5n="org.eclipse.elk.layered.nodePlacement.bk.fixedAlignment",M5n="org.eclipse.elk.layered.nodePlacement.linearSegments.deflectionDampening",T5n="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility",j5n="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility.default",E5n="org.eclipse.elk.layered.edgeRouting.selfLoopDistribution",S5n="org.eclipse.elk.layered.edgeRouting.selfLoopOrdering",P5n="org.eclipse.elk.layered.edgeRouting.splines.mode",C5n="org.eclipse.elk.layered.edgeRouting.splines.sloppy.layerSpacingFactor",I5n="org.eclipse.elk.layered.edgeRouting.polyline.slopedEdgeZoneWidth",O5n="org.eclipse.elk.layered.spacing.baseValue",A5n="org.eclipse.elk.layered.spacing.edgeNodeBetweenLayers",L5n="org.eclipse.elk.layered.spacing.edgeEdgeBetweenLayers",N5n="org.eclipse.elk.layered.spacing.nodeNodeBetweenLayers",$5n="org.eclipse.elk.layered.priority.direction",D5n="org.eclipse.elk.layered.priority.shortness",x5n="org.eclipse.elk.layered.priority.straightness",R5n="org.eclipse.elk.layered.compaction.connectedComponents",K5n="org.eclipse.elk.layered.compaction.postCompaction.strategy",F5n="org.eclipse.elk.layered.compaction.postCompaction.constraints",_5n="org.eclipse.elk.layered.highDegreeNodes.treatment",B5n="org.eclipse.elk.layered.highDegreeNodes.threshold",H5n="org.eclipse.elk.layered.highDegreeNodes.treeHeight",U5n="org.eclipse.elk.layered.wrapping.strategy",G5n="org.eclipse.elk.layered.wrapping.additionalEdgeSpacing",q5n="org.eclipse.elk.layered.wrapping.correctionFactor",X5n="org.eclipse.elk.layered.wrapping.cutting.strategy",z5n="org.eclipse.elk.layered.wrapping.cutting.cuts",V5n="org.eclipse.elk.layered.wrapping.cutting.msd.freedom",W5n="org.eclipse.elk.layered.wrapping.validify.strategy",Q5n="org.eclipse.elk.layered.wrapping.validify.forbiddenIndices",J5n="org.eclipse.elk.layered.wrapping.multiEdge.improveCuts",Y5n="org.eclipse.elk.layered.wrapping.multiEdge.distancePenalty",Z5n="org.eclipse.elk.layered.wrapping.multiEdge.improveWrappedEdges",n8n="org.eclipse.elk.layered.edgeLabels.sideSelection",t8n="org.eclipse.elk.layered.edgeLabels.centerLabelPlacementStrategy",e8n="org.eclipse.elk.layered.considerModelOrder.strategy",i8n="org.eclipse.elk.layered.considerModelOrder.portModelOrder",r8n="org.eclipse.elk.layered.considerModelOrder.noModelOrder",c8n="org.eclipse.elk.layered.considerModelOrder.components",a8n="org.eclipse.elk.layered.considerModelOrder.longEdgeStrategy",o8n="org.eclipse.elk.layered.considerModelOrder.crossingCounterNodeInfluence",u8n="org.eclipse.elk.layered.considerModelOrder.crossingCounterPortInfluence",s8n="layering",h8n="layering.minWidth",f8n="layering.nodePromotion",l8n="crossingMinimization",b8n="org.eclipse.elk.hierarchyHandling",w8n="crossingMinimization.greedySwitch",d8n="nodePlacement",g8n="nodePlacement.bk",p8n="edgeRouting",m8n="org.eclipse.elk.edgeRouting",v8n="spacing",k8n="priority",y8n="compaction",M8n="compaction.postCompaction",T8n="Specifies whether and how post-process compaction is applied.",j8n="highDegreeNodes",E8n="wrapping",S8n="wrapping.cutting",P8n="wrapping.validify",C8n="wrapping.multiEdge",I8n="edgeLabels",O8n="considerModelOrder",A8n="org.eclipse.elk.spacing.commentComment",L8n="org.eclipse.elk.spacing.commentNode",N8n="org.eclipse.elk.spacing.edgeEdge",$8n="org.eclipse.elk.spacing.edgeNode",D8n="org.eclipse.elk.spacing.labelLabel",x8n="org.eclipse.elk.spacing.labelPortHorizontal",R8n="org.eclipse.elk.spacing.labelPortVertical",K8n="org.eclipse.elk.spacing.labelNode",F8n="org.eclipse.elk.spacing.nodeSelfLoop",_8n="org.eclipse.elk.spacing.portPort",B8n="org.eclipse.elk.spacing.individual",H8n="org.eclipse.elk.port.borderOffset",U8n="org.eclipse.elk.noLayout",G8n="org.eclipse.elk.port.side",q8n="org.eclipse.elk.debugMode",X8n="org.eclipse.elk.alignment",z8n="org.eclipse.elk.insideSelfLoops.activate",V8n="org.eclipse.elk.insideSelfLoops.yo",W8n="org.eclipse.elk.direction",Q8n="org.eclipse.elk.nodeLabels.padding",J8n="org.eclipse.elk.portLabels.nextToPortIfPossible",Y8n="org.eclipse.elk.portLabels.treatAsGroup",Z8n="org.eclipse.elk.portAlignment.default",n9n="org.eclipse.elk.portAlignment.north",t9n="org.eclipse.elk.portAlignment.south",e9n="org.eclipse.elk.portAlignment.west",i9n="org.eclipse.elk.portAlignment.east",r9n="org.eclipse.elk.contentAlignment",c9n="org.eclipse.elk.junctionPoints",a9n="org.eclipse.elk.edgeLabels.placement",o9n="org.eclipse.elk.port.index",u9n="org.eclipse.elk.commentBox",s9n="org.eclipse.elk.hypernode",h9n="org.eclipse.elk.port.anchor",f9n="org.eclipse.elk.partitioning.activate",l9n="org.eclipse.elk.partitioning.partition",b9n="org.eclipse.elk.position",w9n="org.eclipse.elk.margins",d9n="org.eclipse.elk.spacing.portsSurrounding",g9n="org.eclipse.elk.interactiveLayout",p9n="org.eclipse.elk.core.util",m9n={3:1,4:1,5:1,601:1},v9n="NETWORK_SIMPLEX",k9n="SIMPLE",y9n={106:1,47:1},M9n="org.eclipse.elk.alg.layered.p1cycles",T9n="org.eclipse.elk.alg.layered.p2layers",j9n={413:1,230:1},E9n={846:1,3:1,4:1},S9n="org.eclipse.elk.alg.layered.p3order",P9n="org.eclipse.elk.alg.layered.p4nodes",C9n={3:1,4:1,5:1,854:1},I9n=1e-5,O9n="org.eclipse.elk.alg.layered.p4nodes.bk",A9n="org.eclipse.elk.alg.layered.p5edges",L9n="org.eclipse.elk.alg.layered.p5edges.orthogonal",N9n="org.eclipse.elk.alg.layered.p5edges.orthogonal.direction",$9n=1e-6,D9n="org.eclipse.elk.alg.layered.p5edges.splines",x9n=.09999999999999998,R9n=1e-8,K9n=4.71238898038469,F9n=3.141592653589793,_9n="org.eclipse.elk.alg.mrtree",B9n=.10000000149011612,H9n="SUPER_ROOT",U9n="org.eclipse.elk.alg.mrtree.graph",G9n=-17976931348623157e292,q9n="org.eclipse.elk.alg.mrtree.intermediate",X9n="Processor compute fanout",z9n={3:1,6:1,4:1,5:1,534:1,100:1,115:1},V9n="Set neighbors in level",W9n="org.eclipse.elk.alg.mrtree.options",Q9n="DESCENDANTS",J9n="org.eclipse.elk.mrtree.compaction",Y9n="org.eclipse.elk.mrtree.edgeEndTextureLength",Z9n="org.eclipse.elk.mrtree.treeLevel",n7n="org.eclipse.elk.mrtree.positionConstraint",t7n="org.eclipse.elk.mrtree.weighting",e7n="org.eclipse.elk.mrtree.edgeRoutingMode",i7n="org.eclipse.elk.mrtree.searchOrder",r7n="Position Constraint",c7n="org.eclipse.elk.mrtree",a7n="org.eclipse.elk.tree",o7n="Processor arrange level",u7n="org.eclipse.elk.alg.mrtree.p2order",s7n="org.eclipse.elk.alg.mrtree.p4route",h7n="org.eclipse.elk.alg.radial",f7n=6.283185307179586,l7n="Before",b7n=5e-324,w7n="After",d7n="org.eclipse.elk.alg.radial.intermediate",g7n="COMPACTION",p7n="org.eclipse.elk.alg.radial.intermediate.compaction",m7n={3:1,4:1,5:1,100:1},v7n="org.eclipse.elk.alg.radial.intermediate.optimization",k7n="No implementation is available for the layout option ",y7n="org.eclipse.elk.alg.radial.options",M7n="org.eclipse.elk.radial.centerOnRoot",T7n="org.eclipse.elk.radial.orderId",j7n="org.eclipse.elk.radial.radius",E7n="org.eclipse.elk.radial.rotate",S7n="org.eclipse.elk.radial.compactor",P7n="org.eclipse.elk.radial.compactionStepSize",C7n="org.eclipse.elk.radial.sorter",I7n="org.eclipse.elk.radial.wedgeCriteria",O7n="org.eclipse.elk.radial.optimizationCriteria",A7n="org.eclipse.elk.radial.rotation.targetAngle",L7n="org.eclipse.elk.radial.rotation.computeAdditionalWedgeSpace",N7n="org.eclipse.elk.radial.rotation.outgoingEdgeAngles",$7n="Compaction",D7n="rotation",x7n="org.eclipse.elk.radial",R7n="org.eclipse.elk.alg.radial.p1position.wedge",K7n="org.eclipse.elk.alg.radial.sorting",F7n=5.497787143782138,_7n=3.9269908169872414,B7n=2.356194490192345,H7n="org.eclipse.elk.alg.rectpacking",U7n="org.eclipse.elk.alg.rectpacking.intermediate",G7n="org.eclipse.elk.alg.rectpacking.options",q7n="org.eclipse.elk.rectpacking.trybox",X7n="org.eclipse.elk.rectpacking.currentPosition",z7n="org.eclipse.elk.rectpacking.desiredPosition",V7n="org.eclipse.elk.rectpacking.inNewRow",W7n="org.eclipse.elk.rectpacking.widthApproximation.strategy",Q7n="org.eclipse.elk.rectpacking.widthApproximation.targetWidth",J7n="org.eclipse.elk.rectpacking.widthApproximation.optimizationGoal",Y7n="org.eclipse.elk.rectpacking.widthApproximation.lastPlaceShift",Z7n="org.eclipse.elk.rectpacking.packing.strategy",nnt="org.eclipse.elk.rectpacking.packing.compaction.rowHeightReevaluation",tnt="org.eclipse.elk.rectpacking.packing.compaction.iterations",ent="org.eclipse.elk.rectpacking.whiteSpaceElimination.strategy",int="widthApproximation",rnt="Compaction Strategy",cnt="packing.compaction",ant="org.eclipse.elk.rectpacking",ont="org.eclipse.elk.alg.rectpacking.p1widthapproximation",unt="org.eclipse.elk.alg.rectpacking.p2packing",snt="No Compaction",hnt="org.eclipse.elk.alg.rectpacking.p3whitespaceelimination",fnt="org.eclipse.elk.alg.rectpacking.util",lnt="No implementation available for ",bnt="org.eclipse.elk.alg.spore",wnt="org.eclipse.elk.alg.spore.options",dnt="org.eclipse.elk.sporeCompaction",gnt="org.eclipse.elk.underlyingLayoutAlgorithm",pnt="org.eclipse.elk.processingOrder.treeConstruction",mnt="org.eclipse.elk.processingOrder.spanningTreeCostFunction",vnt="org.eclipse.elk.processingOrder.preferredRoot",knt="org.eclipse.elk.processingOrder.rootSelection",ynt="org.eclipse.elk.structure.structureExtractionStrategy",Mnt="org.eclipse.elk.compaction.compactionStrategy",Tnt="org.eclipse.elk.compaction.orthogonal",jnt="org.eclipse.elk.overlapRemoval.maxIterations",Ent="org.eclipse.elk.overlapRemoval.runScanline",Snt="processingOrder",Pnt="overlapRemoval",Cnt="org.eclipse.elk.sporeOverlap",Int="org.eclipse.elk.alg.spore.p1structure",Ont="org.eclipse.elk.alg.spore.p2processingorder",Ant="org.eclipse.elk.alg.spore.p3execution",Lnt="Topdown Layout",Nnt="Invalid index: ",$nt="org.eclipse.elk.core.alg",Dnt={341:1},xnt={294:1},Rnt="Make sure its type is registered with the ",Knt=" utility class.",Fnt="true",_nt="false",Bnt="Couldn't clone property '",Hnt=.05,Unt="org.eclipse.elk.core.options",Gnt=1.2999999523162842,qnt="org.eclipse.elk.box",Xnt="org.eclipse.elk.expandNodes",znt="org.eclipse.elk.box.packingMode",Vnt="org.eclipse.elk.algorithm",Wnt="org.eclipse.elk.resolvedAlgorithm",Qnt="org.eclipse.elk.bendPoints",Jnt="org.eclipse.elk.labelManager",Ynt="org.eclipse.elk.scaleFactor",Znt="org.eclipse.elk.childAreaWidth",ntt="org.eclipse.elk.childAreaHeight",ttt="org.eclipse.elk.animate",ett="org.eclipse.elk.animTimeFactor",itt="org.eclipse.elk.layoutAncestors",rtt="org.eclipse.elk.maxAnimTime",ctt="org.eclipse.elk.minAnimTime",att="org.eclipse.elk.progressBar",ott="org.eclipse.elk.validateGraph",utt="org.eclipse.elk.validateOptions",stt="org.eclipse.elk.zoomToFit",htt="org.eclipse.elk.font.name",ftt="org.eclipse.elk.font.size",ltt="org.eclipse.elk.topdown.sizeApproximator",btt="org.eclipse.elk.topdown.scaleCap",wtt="org.eclipse.elk.edge.type",dtt="partitioning",gtt="nodeLabels",ptt="portAlignment",mtt="nodeSize",vtt="port",ktt="portLabels",ytt="topdown",Mtt="insideSelfLoops",Ttt="org.eclipse.elk.fixed",jtt="org.eclipse.elk.random",Ett={3:1,34:1,22:1,347:1},Stt="port must have a parent node to calculate the port side",Ptt="The edge needs to have exactly one edge section. Found: ",Ctt="org.eclipse.elk.core.util.adapters",Itt="org.eclipse.emf.ecore",Ott="org.eclipse.elk.graph",Att="EMapPropertyHolder",Ltt="ElkBendPoint",Ntt="ElkGraphElement",$tt="ElkConnectableShape",Dtt="ElkEdge",xtt="ElkEdgeSection",Rtt="EModelElement",Ktt="ENamedElement",Ftt="ElkLabel",_tt="ElkNode",Btt="ElkPort",Htt={94:1,93:1},Utt="org.eclipse.emf.common.notify.impl",Gtt="The feature '",qtt="' is not a valid changeable feature",Xtt="Expecting null",ztt="' is not a valid feature",Vtt="The feature ID",Wtt=" is not a valid feature ID",Qtt=32768,Jtt={110:1,94:1,93:1,58:1,54:1,99:1},Ytt="org.eclipse.emf.ecore.impl",Ztt="org.eclipse.elk.graph.impl",net="Recursive containment not allowed for ",tet="The datatype '",eet="' is not a valid classifier",iet="The value '",ret={195:1,3:1,4:1},cet="The class '",aet="http://www.eclipse.org/elk/ElkGraph",oet="property",uet="value",set="source",het="properties",fet="identifier",bet="height",wet="width",det="parent",get="text",pet="children",met="hierarchical",vet="sources",ket="targets",yet="sections",Met="bendPoints",Tet="outgoingShape",jet="incomingShape",Eet="outgoingSections",Set="incomingSections",Pet="org.eclipse.emf.common.util",Cet="Severe implementation error in the Json to ElkGraph importer.",Iet="id",Oet="org.eclipse.elk.graph.json",Aet="Unhandled parameter types: ",Let="startPoint",Net="An edge must have at least one source and one target (edge id: '",$et="').",Det="Referenced edge section does not exist: ",xet=" (edge id: '",Ret="target",Ket="sourcePoint",Fet="targetPoint",_et="group",Bet="name",Het="connectableShape cannot be null",Uet="edge cannot be null",Get="Passed edge is not 'simple'.",qet="org.eclipse.elk.graph.util",Xet="The 'no duplicates' constraint is violated",zet="targetIndex=",Vet=", 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$mt,Dmt,xmt,Rmt,Kmt,Fmt,_mt,Bmt,Hmt,Umt,Gmt,qmt,Xmt,zmt,Vmt,Wmt,Qmt,Jmt,Ymt,Zmt,nvt,tvt,evt,ivt,rvt,cvt,avt,ovt,uvt,svt,hvt,fvt,lvt,bvt,wvt,dvt,gvt,pvt,mvt,vvt,kvt,yvt,Mvt,Tvt,jvt,Evt,Svt,Pvt,Cvt,Ivt,Ovt,Avt,Lvt,Nvt,$vt,Dvt,xvt,Rvt,Kvt,Fvt,_vt,Bvt,Hvt,Uvt,Gvt,qvt,Xvt,zvt,Vvt,Wvt,Qvt,Jvt,Yvt,Zvt,nkt,tkt,ekt,ikt,rkt,ckt,akt,okt,ukt,skt,hkt,fkt,lkt,bkt,wkt,dkt,gkt,pkt,mkt,vkt,kkt,ykt,Mkt,Tkt,jkt,Ekt,Skt,Pkt,Ckt,Ikt,Okt,Akt,Lkt,Nkt,$kt,Dkt,xkt,Rkt,Kkt,Fkt,_kt,Bkt,Hkt,Ukt,Gkt,qkt,Xkt,zkt,Vkt,Wkt,Qkt,Jkt,Ykt,Zkt,nyt,tyt,eyt,iyt,ryt,cyt,ayt,oyt,uyt,syt,hyt,fyt,lyt,byt,wyt,dyt,gyt,pyt,myt,vyt,kyt,yyt,Myt,Tyt,jyt,Eyt,Syt,Pyt,Cyt,Iyt,Oyt,Ayt,Lyt,Nyt,$yt,Dyt,xyt,Ryt,Kyt,Fyt,_yt,Byt,Hyt,Uyt,Gyt,qyt,Xyt,zyt,Vyt,Wyt,Qyt,Jyt,Yyt,Zyt,nMt,tMt,eMt,iMt,rMt,cMt,aMt,oMt,uMt,sMt,hMt,fMt,lMt,bMt,wMt,dMt,gMt,pMt,mMt,vMt,kMt,yMt,MMt,TMt,jMt,EMt,SMt,PMt,CMt,IMt,OMt,AMt,LMt,NMt,$Mt,DMt,xMt,RMt,KMt,FMt,_Mt,BMt,HMt,UMt,GMt,qMt,XMt,zMt,VMt,WMt,QMt,JMt,YMt,ZMt,nTt,tTt,eTt,iTt,rTt,cTt,aTt,oTt,uTt,sTt,hTt,fTt,lTt,bTt,wTt,dTt,gTt,pTt,mTt,vTt,kTt,yTt,MTt,TTt,jTt,ETt,STt,PTt,CTt,ITt,OTt,ATt,LTt,NTt,$Tt,DTt,xTt,RTt,KTt,FTt,_Tt,BTt,HTt,UTt,GTt,qTt,XTt,zTt,VTt,WTt,QTt,JTt,YTt,ZTt,njt,tjt,ejt,ijt,rjt,cjt,ajt=_cn($6n,"LayerConstraint",171,Oat,l9,lH);sDn(859,1,K2n,fl),uZn.hf=function(n){Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,B6n),""),"Direction Congruency"),"Specifies how drawings of the same graph with different layout directions compare to each other: either a natural reading direction is preserved or the drawings are rotated versions of each other."),vvt),(lAn(),gNt)),Mgt),ggn((Rkn(),hNt))))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,H6n),""),"Feedback Edges"),"Whether feedback edges should be highlighted by routing around the nodes."),(qx(),!1)),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,U6n),""),"Interactive Reference Point"),"Determines which point of a node is considered by interactive layout phases."),Hvt),gNt),Nmt),ggn(hNt)))),H4(n,U6n,J6n,Gvt),H4(n,U6n,o5n,Uvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,G6n),""),"Merge Edges"),"Edges that have no ports are merged so they touch the connected nodes at the same points. When this option is disabled, one port is created for each edge directly connected to a node. When it is enabled, all such incoming edges share an input port, and all outgoing edges share an output port."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,q6n),""),"Merge Hierarchy-Crossing Edges"),"If hierarchical layout is active, hierarchy-crossing edges use as few hierarchical ports as possible. They are broken by the algorithm, with hierarchical ports inserted as required. Usually, one such port is created for each edge at each hierarchy crossing point. With this option set to true, we try to create as few hierarchical ports as possible in the process. In particular, all edges that form a hyperedge can share a port."),!0),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(VT(JT(QT(YT(qT(GT(WT(XT(zT(new xu,X6n),""),"Allow Non-Flow Ports To Switch Sides"),"Specifies whether non-flow ports may switch sides if their node's port constraints are either FIXED_SIDE or FIXED_ORDER. A non-flow port is a port on a side that is not part of the currently configured layout flow. For instance, given a left-to-right layout direction, north and south ports would be considered non-flow ports. Further note that the underlying criterium whether to switch sides or not solely relies on the minimization of edge crossings. Hence, edge length and other aesthetics criteria are not addressed."),!1),wNt),cot),ggn(fNt)),Uhn(cT($ot,1),zZn,2,6,["org.eclipse.elk.layered.northOrSouthPort"])))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,z6n),""),"Port Sorting Strategy"),"Only relevant for nodes with FIXED_SIDE port constraints. Determines the way a node's ports are distributed on the sides of a node if their order is not prescribed. The option is set on parent nodes."),Pkt),gNt),Jjt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,V6n),""),"Thoroughness"),"How much effort should be spent to produce a nice layout."),xwn(7)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,W6n),""),"Add Unnecessary Bendpoints"),"Adds bend points even if an edge does not change direction. If true, each long edge dummy will contribute a bend point to its edges and hierarchy-crossing edges will always get a bend point where they cross hierarchy boundaries. By default, bend points are only added where an edge changes direction."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Q6n),""),"Generate Position and Layer IDs"),"If enabled position id and layer id are generated, which are usually only used internally when setting the interactiveLayout option. This option should be specified on the root node."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,J6n),"cycleBreaking"),"Cycle Breaking Strategy"),"Strategy for cycle breaking. Cycle breaking looks for cycles in the graph and determines which edges to reverse to break the cycles. Reversed edges will end up pointing to the opposite direction of regular edges (that is, reversed edges will point left if edges usually point right)."),pvt),gNt),pgt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Y6n),s8n),"Node Layering Strategy"),"Strategy for node layering."),ckt),gNt),fjt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Z6n),s8n),"Layer Constraint"),"Determines a constraint on the placement of the node regarding the layering."),Wvt),gNt),ajt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,n5n),s8n),"Layer Choice Constraint"),"Allows to set a constraint regarding the layer placement of a node. Let i be the value of teh constraint. Assumed the drawing has n layers and i < n. If set to i, it expresses that the node should be placed in i-th layer. Should i>=n be true then the node is placed in the last layer of the drawing. Note that this option is not part of any of ELK Layered's default configurations but is only evaluated as part of the `InteractiveLayeredGraphVisitor`, which must be applied manually or used via the `DiagramLayoutEngine."),null),mNt),dot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,t5n),s8n),"Layer ID"),"Layer identifier that was calculated by ELK Layered for a node. This is only generated if interactiveLayot or generatePositionAndLayerIds is set."),xwn(-1)),mNt),dot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,e5n),h8n),"Upper Bound On Width [MinWidth Layerer]"),"Defines a loose upper bound on the width of the MinWidth layerer. If set to '-1' multiple values are tested and the best result is selected."),xwn(4)),mNt),dot),ggn(hNt)))),H4(n,e5n,Y6n,Yvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,i5n),h8n),"Upper Layer Estimation Scaling Factor [MinWidth Layerer]"),"Multiplied with Upper Bound On Width for defining an upper bound on the width of layers which haven't been determined yet, but whose maximum width had been (roughly) estimated by the MinWidth algorithm. Compensates for too high estimations. If set to '-1' multiple values are tested and the best result is selected."),xwn(2)),mNt),dot),ggn(hNt)))),H4(n,i5n,Y6n,nkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,r5n),f8n),"Node Promotion Strategy"),"Reduces number of dummy nodes after layering phase (if possible)."),ikt),gNt),Hjt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,c5n),f8n),"Max Node Promotion Iterations"),"Limits the number of iterations for node promotion."),xwn(0)),mNt),dot),ggn(hNt)))),H4(n,c5n,r5n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,a5n),"layering.coffmanGraham"),"Layer Bound"),"The maximum number of nodes allowed per layer."),xwn(vZn)),mNt),dot),ggn(hNt)))),H4(n,a5n,Y6n,Xvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,o5n),l8n),"Crossing Minimization Strategy"),"Strategy for crossing minimization."),dvt),gNt),agt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,u5n),l8n),"Force Node Model Order"),"The node order given by the model does not change to produce a better layout. E.g. if node A is before node B in the model this is not changed during crossing minimization. This assumes that the node model order is already respected before crossing minimization. This can be achieved by setting considerModelOrder.strategy to NODES_AND_EDGES."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,s5n),l8n),"Hierarchical Sweepiness"),"How likely it is to use cross-hierarchy (1) vs bottom-up (-1)."),.1),dNt),fot),ggn(hNt)))),H4(n,s5n,b8n,ovt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,h5n),l8n),"Semi-Interactive Crossing Minimization"),"Preserves the order of nodes within a layer but still minimizes crossings between edges connecting long edge dummies. Derives the desired order from positions specified by the 'org.eclipse.elk.position' layout option. Requires a crossing minimization strategy that is able to process 'in-layer' constraints."),!1),wNt),cot),ggn(hNt)))),H4(n,h5n,o5n,bvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,f5n),l8n),"In Layer Predecessor of"),"Allows to set a constraint which specifies of which node the current node is the predecessor. If set to 's' then the node is the predecessor of 's' and is in the same layer"),null),kNt),$ot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,l5n),l8n),"In Layer Successor of"),"Allows to set a constraint which specifies of which node the current node is the successor. If set to 's' then the node is the successor of 's' and is in the same layer"),null),kNt),$ot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,b5n),l8n),"Position Choice Constraint"),"Allows to set a constraint regarding the position placement of a node in a layer. Assumed the layer in which the node placed includes n other nodes and i < n. If set to i, it expresses that the node should be placed at the i-th position. Should i>=n be true then the node is placed at the last position in the layer. Note that this option is not part of any of ELK Layered's default configurations but is only evaluated as part of the `InteractiveLayeredGraphVisitor`, which must be applied manually or used via the `DiagramLayoutEngine."),null),mNt),dot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,w5n),l8n),"Position ID"),"Position within a layer that was determined by ELK Layered for a node. This is only generated if interactiveLayot or generatePositionAndLayerIds is set."),xwn(-1)),mNt),dot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,d5n),w8n),"Greedy Switch Activation Threshold"),"By default it is decided automatically if the greedy switch is activated or not. The decision is based on whether the size of the input graph (without dummy nodes) is smaller than the value of this option. A '0' enforces the activation."),xwn(40)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,g5n),w8n),"Greedy Switch Crossing Minimization"),"Greedy Switch strategy for crossing minimization. The greedy switch heuristic is executed after the regular crossing minimization as a post-processor. Note that if 'hierarchyHandling' is set to 'INCLUDE_CHILDREN', the 'greedySwitchHierarchical.type' option must be used."),rvt),gNt),mpt),ggn(hNt)))),H4(n,g5n,o5n,cvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,p5n),"crossingMinimization.greedySwitchHierarchical"),"Greedy Switch Crossing Minimization (hierarchical)"),"Activates the greedy switch heuristic in case hierarchical layout is used. The differences to the non-hierarchical case (see 'greedySwitch.type') are: 1) greedy switch is inactive by default, 3) only the option value set on the node at which hierarchical layout starts is relevant, and 2) if it's activated by the user, it properly addresses hierarchy-crossing edges."),nvt),gNt),mpt),ggn(hNt)))),H4(n,p5n,o5n,tvt),H4(n,p5n,b8n,evt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,m5n),d8n),"Node Placement Strategy"),"Strategy for node placement."),Ekt),gNt),xjt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,v5n),d8n),"Favor Straight Edges Over Balancing"),"Favor straight edges over a balanced node placement. The default behavior is determined automatically based on the used 'edgeRouting'. For an orthogonal style it is set to true, for all other styles to false."),wNt),cot),ggn(hNt)))),H4(n,v5n,m5n,dkt),H4(n,v5n,m5n,gkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,k5n),g8n),"BK Edge Straightening"),"Specifies whether the Brandes Koepf node placer tries to increase the number of straight edges at the expense of diagram size. There is a subtle difference to the 'favorStraightEdges' option, which decides whether a balanced placement of the nodes is desired, or not. In bk terms this means combining the four alignments into a single balanced one, or not. This option on the other hand tries to straighten additional edges during the creation of each of the four alignments."),skt),gNt),Hgt),ggn(hNt)))),H4(n,k5n,m5n,hkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,y5n),g8n),"BK Fixed Alignment"),"Tells the BK node placer to use a certain alignment (out of its four) instead of the one producing the smallest height, or the combination of all four."),lkt),gNt),Qgt),ggn(hNt)))),H4(n,y5n,m5n,bkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,M5n),"nodePlacement.linearSegments"),"Linear Segments Deflection Dampening"),"Dampens the movement of nodes to keep the diagram from getting too large."),.3),dNt),fot),ggn(hNt)))),H4(n,M5n,m5n,mkt),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,T5n),"nodePlacement.networkSimplex"),"Node Flexibility"),"Aims at shorter and straighter edges. Two configurations are possible: (a) allow ports to move freely on the side they are assigned to (the order is always defined beforehand), (b) additionally allow to enlarge a node wherever it helps. If this option is not configured for a node, the 'nodeFlexibility.default' value is used, which is specified for the node's parent."),gNt),jjt),ggn(sNt)))),H4(n,T5n,m5n,Tkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,j5n),"nodePlacement.networkSimplex.nodeFlexibility"),"Node Flexibility Default"),"Default value of the 'nodeFlexibility' option for the children of a hierarchical node."),ykt),gNt),jjt),ggn(hNt)))),H4(n,j5n,m5n,Mkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,E5n),p8n),"Self-Loop Distribution"),"Alter the distribution of the loops around the node. It only takes effect for PortConstraints.FREE."),Pvt),gNt),oEt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,S5n),p8n),"Self-Loop Ordering"),"Alter the ordering of the loops they can either be stacked or sequenced. It only takes effect for PortConstraints.FREE."),Ivt),gNt),lEt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,P5n),"edgeRouting.splines"),"Spline Routing Mode"),"Specifies the way control points are assembled for each individual edge. CONSERVATIVE ensures that edges are properly routed around the nodes but feels rather orthogonal at times. SLOPPY uses fewer control points to obtain curvier edge routes but may result in edges overlapping nodes."),Avt),gNt),pEt),ggn(hNt)))),H4(n,P5n,m8n,Lvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,C5n),"edgeRouting.splines.sloppy"),"Sloppy Spline Layer Spacing Factor"),"Spacing factor for routing area between layers when using sloppy spline routing."),.2),dNt),fot),ggn(hNt)))),H4(n,C5n,m8n,$vt),H4(n,C5n,P5n,Dvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,I5n),"edgeRouting.polyline"),"Sloped Edge Zone Width"),"Width of the strip to the left and to the right of each layer where the polyline edge router is allowed to refrain from ensuring that edges are routed horizontally. This prevents awkward bend points for nodes that extent almost to the edge of their layer."),2),dNt),fot),ggn(hNt)))),H4(n,I5n,m8n,Evt),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,O5n),v8n),"Spacing Base Value"),"An optional base value for all other layout options of the 'spacing' group. It can be used to conveniently alter the overall 'spaciousness' of the drawing. Whenever an explicit value is set for the other layout options, this base value will have no effect. The base value is not inherited, i.e. it must be set for each hierarchical node."),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,A5n),v8n),"Edge Node Between Layers Spacing"),"The spacing to be preserved between nodes and edges that are routed next to the node's layer. For the spacing between nodes and edges that cross the node's layer 'spacing.edgeNode' is used."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,L5n),v8n),"Edge Edge Between Layer Spacing"),"Spacing to be preserved between pairs of edges that are routed between the same pair of layers. Note that 'spacing.edgeEdge' is used for the spacing between pairs of edges crossing the same layer."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,N5n),v8n),"Node Node Between Layers Spacing"),"The spacing to be preserved between any pair of nodes of two adjacent layers. Note that 'spacing.nodeNode' is used for the spacing between nodes within the layer itself."),20),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,$5n),k8n),"Direction Priority"),"Defines how important it is to have a certain edge point into the direction of the overall layout. This option is evaluated during the cycle breaking phase."),xwn(0)),mNt),dot),ggn(oNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,D5n),k8n),"Shortness Priority"),"Defines how important it is to keep an edge as short as possible. This option is evaluated during the layering phase."),xwn(0)),mNt),dot),ggn(oNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,x5n),k8n),"Straightness Priority"),"Defines how important it is to keep an edge straight, i.e. aligned with one of the two axes. 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This option is currently not supported if 'Layout Hierarchy' is set."),1),dNt),fot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,Znt),""),"Child Area Width"),"The width of the area occupied by the laid out children of a node."),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,ntt),""),"Child Area Height"),"The height of the area occupied by the laid out children of a node."),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,k4n),""),Lnt),"Turns topdown layout on and off. If this option is enabled, hierarchical layout will be computed first for the root node and then for its children recursively. Layouts are then scaled down to fit the area provided by their parents. 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This option is not supported if 'Hierarchy Handling' is set to 'INCLUDE_CHILDREN'"),!1),wNt),cot),ggn(hNt)))),H4(n,k4n,j4n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ttt),""),"Animate"),"Whether the shift from the old layout to the new computed layout shall be animated."),!0),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ett),""),"Animation Time Factor"),"Factor for computation of animation time. The higher the value, the longer the animation time. If the value is 0, the resulting time is always equal to the minimum defined by 'Minimal Animation Time'."),xwn(100)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,itt),""),"Layout Ancestors"),"Whether the hierarchy levels on the path from the selected element to the root of the diagram shall be included in the layout process."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,rtt),""),"Maximal Animation Time"),"The maximal time for animations, in milliseconds."),xwn(4e3)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ctt),""),"Minimal Animation Time"),"The minimal time for animations, in milliseconds."),xwn(400)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,att),""),"Progress Bar"),"Whether a progress bar shall be displayed during layout computations."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ott),""),"Validate Graph"),"Whether the graph shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,utt),""),"Validate Options"),"Whether layout options shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!0),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,stt),""),"Zoom to Fit"),"Whether the zoom level shall be set to view the whole diagram after layout."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,znt),"box"),"Box Layout Mode"),"Configures the packing mode used by the {@link BoxLayoutProvider}. If SIMPLE is not required (neither priorities are used nor the interactive mode), GROUP_DEC can improve the packing and decrease the area. GROUP_MIXED and GROUP_INC may, in very specific scenarios, work better."),u$t),gNt),SKt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,A8n),v8n),"Comment Comment Spacing"),"Spacing to be preserved between a comment box and other comment boxes connected to the same node. The space left between comment boxes of different nodes is controlled by the node-node spacing."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,L8n),v8n),"Comment Node Spacing"),"Spacing to be preserved between a node and its connected comment boxes. The space left between a node and the comments of another node is controlled by the node-node spacing."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,D3n),v8n),"Components Spacing"),"Spacing to be preserved between pairs of connected components. This option is only relevant if 'separateConnectedComponents' is activated."),20),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,N8n),v8n),"Edge Spacing"),"Spacing to be preserved between any two edges. Note that while this can somewhat easily be satisfied for the segments of orthogonally drawn edges, it is harder for general polylines or splines."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,u4n),v8n),"Edge Label Spacing"),"The minimal distance to be preserved between a label and the edge it is associated with. Note that the placement of a label is influenced by the 'edgelabels.placement' option."),2),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,$8n),v8n),"Edge Node Spacing"),"Spacing to be preserved between nodes and edges."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,D8n),v8n),"Label Spacing"),"Determines the amount of space to be left between two labels of the same graph element."),0),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,K8n),v8n),"Label Node Spacing"),"Spacing to be preserved between labels and the border of node they are associated with. Note that the placement of a label is influenced by the 'nodelabels.placement' option."),5),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,x8n),v8n),"Horizontal spacing between Label and Port"),"Horizontal spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,R8n),v8n),"Vertical spacing between Label and Port"),"Vertical spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,o4n),v8n),"Node Spacing"),"The minimal distance to be preserved between each two nodes."),20),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,F8n),v8n),"Node Self Loop Spacing"),"Spacing to be preserved between a node and its self loops."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,_8n),v8n),"Port Spacing"),"Spacing between pairs of ports of the same node."),10),dNt),fot),WX(hNt,Uhn(cT(MNt,1),p1n,170,0,[sNt]))))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,B8n),v8n),"Individual Spacing"),"Allows to specify individual spacing values for graph elements that shall be different from the value specified for the element's parent."),vNt),AKt),WX(sNt,Uhn(cT(MNt,1),p1n,170,0,[oNt,fNt,uNt]))))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,d9n),v8n),"Additional Port Space"),"Additional space around the sets of ports on each node side. For each side of a node, this option can reserve additional space before and after the ports on each side. For example, a top spacing of 20 makes sure that the first port on the western and eastern side is 20 units away from the northern border."),KDt),vNt),hbt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,l9n),dtt),"Layout Partition"),"Partition to which the node belongs. This requires Layout Partitioning to be active. Nodes with lower partition IDs will appear to the left of nodes with higher partition IDs (assuming a left-to-right layout direction)."),mNt),dot),WX(hNt,Uhn(cT(MNt,1),p1n,170,0,[sNt]))))),H4(n,l9n,f9n,nDt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,f9n),dtt),"Layout Partitioning"),"Whether to activate partitioned layout. This will allow to group nodes through the Layout Partition option. a pair of nodes with different partition indices is then placed such that the node with lower index is placed to the left of the other node (with left-to-right layout direction). Depending on the layout algorithm, this may only be guaranteed to work if all nodes have a layout partition configured, or at least if edges that cross partitions are not part of a partition-crossing cycle."),Y$t),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Q8n),gtt),"Node Label Padding"),"Define padding for node labels that are placed inside of a node."),R$t),vNt),Sbt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,m4n),gtt),"Node Label Placement"),"Hints for where node labels are to be placed; if empty, the node label's position is not modified."),F$t),pNt),eRt),WX(sNt,Uhn(cT(MNt,1),p1n,170,0,[uNt]))))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Z8n),ptt),"Port Alignment"),"Defines the default port distribution for a node. May be overridden for each side individually."),eDt),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,n9n),ptt),"Port Alignment (North)"),"Defines how ports on the northern side are placed, overriding the node's general port alignment."),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,t9n),ptt),"Port Alignment (South)"),"Defines how ports on the southern side are placed, overriding the node's general port alignment."),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,e9n),ptt),"Port Alignment (West)"),"Defines how ports on the western side are placed, overriding the node's general port alignment."),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,i9n),ptt),"Port Alignment (East)"),"Defines how ports on the eastern side are placed, overriding the node's general port alignment."),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,p4n),mtt),"Node Size Constraints"),"What should be taken into account when calculating a node's size. Empty size constraints specify that a node's size is already fixed and should not be changed."),B$t),pNt),sKt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,g4n),mtt),"Node Size Options"),"Options modifying the behavior of the size constraints set on a node. Each member of the set specifies something that should be taken into account when calculating node sizes. The empty set corresponds to no further modifications."),X$t),pNt),wKt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,x4n),mtt),"Node Size Minimum"),"The minimal size to which a node can be reduced."),G$t),vNt),PNt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,d4n),mtt),"Fixed Graph Size"),"By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,a9n),I8n),"Edge Label Placement"),"Gives a hint on where to put edge labels."),v$t),gNt),lxt),ggn(uNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,b4n),I8n),"Inline Edge Labels"),"If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible."),!1),wNt),cot),ggn(uNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,htt),"font"),"Font Name"),"Font name used for a label."),kNt),$ot),ggn(uNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,ftt),"font"),"Font Size"),"Font size used for a label."),mNt),dot),ggn(uNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,h9n),vtt),"Port Anchor Offset"),"The offset to the port position where connections shall be attached."),vNt),PNt),ggn(fNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,o9n),vtt),"Port Index"),"The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are given for the ports. Additionally, the option 'Port Side' must be defined in this case."),mNt),dot),ggn(fNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,G8n),vtt),"Port Side"),"The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports."),pDt),gNt),YRt),ggn(fNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,H8n),vtt),"Port Border Offset"),"The offset of ports on the node border. With a positive offset the port is moved outside of the node, while with a negative offset the port is moved towards the inside. An offset of 0 means that the port is placed directly on the node border, i.e. if the port side is north, the port's south border touches the nodes's north border; if the port side is east, the port's west border touches the nodes's east border; if the port side is south, the port's north border touches the node's south border; if the port side is west, the port's east border touches the node's west border."),dNt),fot),ggn(fNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,v4n),ktt),"Port Label Placement"),"Decides on a placement method for port labels; if empty, the node label's position is not modified."),wDt),pNt),BRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,J8n),ktt),"Port Labels Next to Port"),"Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE."),!1),wNt),cot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Y8n),ktt),"Treat Port Labels as Group"),"If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being placed below. This only applies to labels of eastern and western ports and will have no effect if labels are not placed next to their port."),!0),wNt),cot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,y4n),ytt),"Topdown Scale Factor"),"The scaling factor to be applied to the nodes laid out within the node in recursive topdown layout. The difference to 'Scale Factor' is that the node itself is not scaled. This value has to be set on hierarchical nodes."),1),dNt),fot),ggn(hNt)))),H4(n,y4n,j4n,zDt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ltt),ytt),"Topdown Size Approximator"),"The size approximator to be used to set sizes of hierarchical nodes during topdown layout. The default value is null, which results in nodes keeping whatever size is defined for them e.g. through parent parallel node or by manually setting the size."),null),gNt),jKt),ggn(sNt)))),H4(n,ltt,j4n,WDt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,M4n),ytt),"Topdown Hierarchical Node Width"),"The fixed size of a hierarchical node when using topdown layout. If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself."),150),dNt),fot),WX(hNt,Uhn(cT(MNt,1),p1n,170,0,[sNt]))))),H4(n,M4n,j4n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,T4n),ytt),"Topdown Hierarchical Node Aspect Ratio"),"The fixed aspect ratio of a hierarchical node when using topdown layout. Default is 1/sqrt(2). If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself."),1.414),dNt),fot),WX(hNt,Uhn(cT(MNt,1),p1n,170,0,[sNt]))))),H4(n,T4n,j4n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,j4n),ytt),"Topdown Node Type"),"The different node types used for topdown layout. If the node type is set to {@link TopdownNodeTypes.PARALLEL_NODE} the algorithm must be set to a {@link TopdownLayoutProvider} such as {@link TopdownPacking}. The {@link nodeSize.fixedGraphSize} option is technically only required for hierarchical nodes."),null),gNt),mKt),ggn(sNt)))),H4(n,j4n,d4n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,btt),ytt),"Topdown Scale Cap"),"Determines the upper limit for the topdown scale factor. The default value is 1.0 which ensures that nested children never end up appearing larger than their parents in terms of unit sizes such as the font size. If the limit is larger, nodes will fully utilize the available space, but it is counteriniuitive for inner nodes to have a larger scale than outer nodes."),1),dNt),fot),ggn(hNt)))),H4(n,btt,j4n,qDt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,z8n),Mtt),"Activate Inside Self Loops"),"Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical ports."),!1),wNt),cot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,V8n),Mtt),"Inside Self Loop"),"Whether a self loop should be routed inside a node instead of around that node."),!1),wNt),cot),ggn(oNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,x3n),"edge"),"Edge Thickness"),"The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it."),1),dNt),fot),ggn(oNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,wtt),"edge"),"Edge Type"),"The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations."),T$t),gNt),Lxt),ggn(oNt)))),sP(n,new I2(BT(UT(HT(new du,S0n),"Layered"),'The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hierarchies", and then reordered such that the number of edge crossings is minimized. Afterwards, concrete coordinates are computed for the nodes and edge bend points.'))),sP(n,new I2(BT(UT(HT(new du,"org.eclipse.elk.orthogonal"),"Orthogonal"),'Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia \'86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representation of the graph. The orthogonal shape is computed in the second phase, which aims at minimizing the number of edge bends, and is called orthogonalization. The third phase leads to concrete coordinates for nodes and edge bend points by applying a compaction method, thus defining the metrics.'))),sP(n,new I2(BT(UT(HT(new du,c4n),"Force"),"Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. The first successful method of this kind was proposed by Eades in 1984."))),sP(n,new I2(BT(UT(HT(new du,"org.eclipse.elk.circle"),"Circle"),"Circular layout algorithms emphasize cycles or biconnected components of a graph by arranging them in circles. This is useful if a drawing is desired where such components are clearly grouped, or where cycles are shown as prominent OPTIONS of the graph."))),sP(n,new I2(BT(UT(HT(new du,a7n),"Tree"),"Specialized layout methods for trees, i.e. acyclic graphs. The regular structure of graphs that have no undirected cycles can be emphasized using an algorithm of this type."))),sP(n,new I2(BT(UT(HT(new du,"org.eclipse.elk.planar"),"Planar"),"Algorithms that require a planar or upward planar graph. 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F$(n,15)},uZn.gk=function(n){return Inn(yat,H3n,15,n,0,1)},zW(kct,"XMLTypePackageImpl/37",1997),sDn(1998,1,Wrt,bf),uZn.fk=function(n){return F$(n,15)},uZn.gk=function(n){return Inn(yat,H3n,15,n,0,1)},zW(kct,"XMLTypePackageImpl/38",1998),sDn(1999,1,Wrt,wf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/39",1999),sDn(1964,1,Wrt,df),uZn.fk=function(n){return F$(n,682)},uZn.gk=function(n){return Inn(bHt,EZn,2120,n,0,1)},zW(kct,"XMLTypePackageImpl/4",1964),sDn(2e3,1,Wrt,gf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/40",2e3),sDn(2001,1,Wrt,pf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/41",2001),sDn(2002,1,Wrt,mf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/42",2002),sDn(2003,1,Wrt,vf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/43",2003),sDn(2004,1,Wrt,kf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/44",2004),sDn(2005,1,Wrt,yf),uZn.fk=function(n){return F$(n,191)},uZn.gk=function(n){return Inn(Tot,zZn,191,n,0,1)},zW(kct,"XMLTypePackageImpl/45",2005),sDn(2006,1,Wrt,Mf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/46",2006),sDn(2007,1,Wrt,Tf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/47",2007),sDn(2008,1,Wrt,jf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/48",2008),sDn(2009,1,Wrt,Ef),uZn.fk=function(n){return F$(n,191)},uZn.gk=function(n){return Inn(Tot,zZn,191,n,0,1)},zW(kct,"XMLTypePackageImpl/49",2009),sDn(1965,1,Wrt,Sf),uZn.fk=function(n){return F$(n,683)},uZn.gk=function(n){return Inn(wHt,EZn,2121,n,0,1)},zW(kct,"XMLTypePackageImpl/5",1965),sDn(2010,1,Wrt,Pf),uZn.fk=function(n){return F$(n,168)},uZn.gk=function(n){return Inn(yot,zZn,168,n,0,1)},zW(kct,"XMLTypePackageImpl/50",2010),sDn(2011,1,Wrt,Cf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/51",2011),sDn(2012,1,Wrt,If),uZn.fk=function(n){return F$(n,17)},uZn.gk=function(n){return Inn(dot,zZn,17,n,0,1)},zW(kct,"XMLTypePackageImpl/52",2012),sDn(1966,1,Wrt,Of),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/6",1966),sDn(1967,1,Wrt,Af),uZn.fk=function(n){return F$(n,195)},uZn.gk=function(n){return Inn(tUt,zZn,195,n,0,2)},zW(kct,"XMLTypePackageImpl/7",1967),sDn(1968,1,Wrt,Lf),uZn.fk=function(n){return KA(n)},uZn.gk=function(n){return Inn(cot,zZn,484,n,8,1)},zW(kct,"XMLTypePackageImpl/8",1968),sDn(1969,1,Wrt,Nf),uZn.fk=function(n){return F$(n,222)},uZn.gk=function(n){return Inn(uot,zZn,222,n,0,1)},zW(kct,"XMLTypePackageImpl/9",1969),sDn(55,63,S1n,CM),zW(Xct,"RegEx/ParseException",55),sDn(836,1,{},$f),uZn.bm=function(n){return n<this.j&&63==VJ(this.i,n)},uZn.cm=function(){var n,t,e,i,r;if(10!=this.c)throw hv(new CM(rZn((t$(),eit))));switch(n=this.a){case 101:n=27;break;case 102:n=12;break;case 110:n=10;break;case 114:n=13;break;case 116:n=9;break;case 120:if(EYn(this),0!=this.c)throw hv(new CM(rZn((t$(),Pit))));if(123==this.a){for(r=0,e=0;;){if(EYn(this),0!=this.c)throw hv(new CM(rZn((t$(),Pit))));if((r=CMn(this.a))<0)break;if(e>16*e)throw hv(new CM(rZn((t$(),Cit))));e=16*e+r}if(125!=this.a)throw hv(new CM(rZn((t$(),Iit))));if(e>zct)throw hv(new CM(rZn((t$(),Oit))));n=e}else{if(r=0,0!=this.c||(r=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(e=r,EYn(this),0!=this.c||(r=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));n=e=16*e+r}break;case 117:if(i=0,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));n=t=16*t+i;break;case 118:if(EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if((t=16*t+i)>zct)throw hv(new CM(rZn((t$(),"parser.descappe.4"))));n=t;break;case 65:case 90:case 122:throw hv(new CM(rZn((t$(),Ait))))}return n},uZn.dm=function(n){var t;switch(n){case 100:t=32==(32&this.e)?kJn("Nd",!0):(QYn(),CHt);break;case 68:t=32==(32&this.e)?kJn("Nd",!1):(QYn(),NHt);break;case 119:t=32==(32&this.e)?kJn("IsWord",!0):(QYn(),HHt);break;case 87:t=32==(32&this.e)?kJn("IsWord",!1):(QYn(),DHt);break;case 115:t=32==(32&this.e)?kJn("IsSpace",!0):(QYn(),RHt);break;case 83:t=32==(32&this.e)?kJn("IsSpace",!1):(QYn(),$Ht);break;default:throw hv(new Ky(Vct+n.toString(16)))}return t},uZn.em=function(n){var t,e,i,r,c,a,o,u,s,h,f;for(this.b=1,EYn(this),t=null,0==this.c&&94==this.a?(EYn(this),n?(QYn(),QYn(),s=new K3(5)):(QYn(),QYn(),HFn(t=new K3(4),0,zct),s=new K3(4))):(QYn(),QYn(),s=new K3(4)),r=!0;1!=(f=this.c)&&(0!=f||93!=this.a||r);){if(r=!1,e=this.a,i=!1,10==f)switch(e){case 100:case 68:case 119:case 87:case 115:case 83:TXn(s,this.dm(e)),i=!0;break;case 105:case 73:case 99:case 67:(e=this.um(s,e))<0&&(i=!0);break;case 112:case 80:if(!(h=PNn(this,e)))throw hv(new CM(rZn((t$(),git))));TXn(s,h),i=!0;break;default:e=this.cm()}else if(20==f){if((c=aR(this.i,58,this.d))<0)throw hv(new CM(rZn((t$(),pit))));if(a=!0,94==VJ(this.i,this.d)&&(++this.d,a=!1),!(o=itn(r1(this.i,this.d,c),a,512==(512&this.e))))throw hv(new CM(rZn((t$(),vit))));if(TXn(s,o),i=!0,c+1>=this.j||93!=VJ(this.i,c+1))throw hv(new CM(rZn((t$(),pit))));this.d=c+2}if(EYn(this),!i)if(0!=this.c||45!=this.a)HFn(s,e,e);else{if(EYn(this),1==(f=this.c))throw hv(new CM(rZn((t$(),mit))));0==f&&93==this.a?(HFn(s,e,e),HFn(s,45,45)):(u=this.a,10==f&&(u=this.cm()),EYn(this),HFn(s,e,u))}(this.e&w1n)==w1n&&0==this.c&&44==this.a&&EYn(this)}if(1==this.c)throw hv(new CM(rZn((t$(),mit))));return t&&(lWn(t,s),s=t),pxn(s),szn(s),this.b=0,EYn(this),s},uZn.fm=function(){var n,t,e,i;for(e=this.em(!1);7!=(i=this.c);){if(n=this.a,(0!=i||45!=n&&38!=n)&&4!=i)throw hv(new CM(rZn((t$(),Eit))));if(EYn(this),9!=this.c)throw hv(new CM(rZn((t$(),jit))));if(t=this.em(!1),4==i)TXn(e,t);else if(45==n)lWn(e,t);else{if(38!=n)throw hv(new Ky("ASSERT"));GVn(e,t)}}return EYn(this),e},uZn.gm=function(){var n,t;return n=this.a-48,QYn(),QYn(),t=new F1(12,null,n),!this.g&&(this.g=new ck),zv(this.g,new Wm(n)),EYn(this),t},uZn.hm=function(){return EYn(this),QYn(),KHt},uZn.im=function(){return EYn(this),QYn(),xHt},uZn.jm=function(){throw hv(new CM(rZn((t$(),Lit))))},uZn.km=function(){throw hv(new CM(rZn((t$(),Lit))))},uZn.lm=function(){return EYn(this),jln()},uZn.mm=function(){return EYn(this),QYn(),_Ht},uZn.nm=function(){return EYn(this),QYn(),UHt},uZn.om=function(){var n;if(this.d>=this.j||64!=(65504&(n=VJ(this.i,this.d++))))throw hv(new CM(rZn((t$(),lit))));return EYn(this),QYn(),QYn(),new IX(0,n-64)},uZn.pm=function(){return EYn(this),VGn()},uZn.qm=function(){return EYn(this),QYn(),GHt},uZn.rm=function(){var n;return QYn(),QYn(),n=new IX(0,105),EYn(this),n},uZn.sm=function(){return EYn(this),QYn(),BHt},uZn.tm=function(){return EYn(this),QYn(),FHt},uZn.um=function(n,t){return this.cm()},uZn.vm=function(){return EYn(this),QYn(),AHt},uZn.wm=function(){var n,t,e,i,r;if(this.d+1>=this.j)throw hv(new CM(rZn((t$(),sit))));if(i=-1,t=null,49<=(n=VJ(this.i,this.d))&&n<=57){if(i=n-48,!this.g&&(this.g=new ck),zv(this.g,new Wm(i)),++this.d,41!=VJ(this.i,this.d))throw hv(new CM(rZn((t$(),ait))));++this.d}else switch(63==n&&--this.d,EYn(this),(t=eYn(this)).e){case 20:case 21:case 22:case 23:break;case 8:if(7!=this.c)throw hv(new CM(rZn((t$(),ait))));break;default:throw hv(new CM(rZn((t$(),hit))))}if(EYn(this),e=null,2==(r=Evn(this)).e){if(2!=r.Pm())throw hv(new CM(rZn((t$(),fit))));e=r.Lm(1),r=r.Lm(0)}if(7!=this.c)throw hv(new CM(rZn((t$(),ait))));return EYn(this),QYn(),QYn(),new bin(i,t,r,e)},uZn.xm=function(){return EYn(this),QYn(),LHt},uZn.ym=function(){var n;if(EYn(this),n=jV(24,Evn(this)),7!=this.c)throw hv(new CM(rZn((t$(),ait))));return EYn(this),n},uZn.zm=function(){var n;if(EYn(this),n=jV(20,Evn(this)),7!=this.c)throw hv(new CM(rZn((t$(),ait))));return EYn(this),n},uZn.Am=function(){var n;if(EYn(this),n=jV(22,Evn(this)),7!=this.c)throw 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This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise."}),"\n",(0,n.jsx)(e.li,{children:"The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked."}),"\n"]}),"\n",(0,n.jsx)(e.h2,{id:"signal-to-noise-ratio-snr",children:"Signal-to-Noise Ratio (SNR)"}),"\n",(0,n.jsx)(e.p,{children:"The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. 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The better ear SNR, here termed BE_SNR, which models the better ear effect in binaural listening, is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. 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Denmark: Aalborg."}),"\n",(0,n.jsx)(e.li,{children:"Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300."}),"\n",(0,n.jsx)(e.li,{children:"Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. 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with non-harmony modules +/******/ __nested_webpack_require_643__.n = function(module) { +/******/ var getter = module && module.__esModule ? +/******/ function getDefault() { return module['default']; } : +/******/ function getModuleExports() { return module; }; +/******/ __nested_webpack_require_643__.d(getter, 'a', getter); +/******/ return getter; +/******/ }; +/******/ +/******/ // Object.prototype.hasOwnProperty.call +/******/ __nested_webpack_require_643__.o = function(object, property) { return Object.prototype.hasOwnProperty.call(object, property); }; +/******/ +/******/ // __webpack_public_path__ +/******/ __nested_webpack_require_643__.p = ""; +/******/ +/******/ // Load entry module and return exports +/******/ return __nested_webpack_require_643__(__nested_webpack_require_643__.s = 7); +/******/ }) +/************************************************************************/ +/******/ ([ +/* 0 */ +/***/ (function(module, exports) { + +module.exports = __WEBPACK_EXTERNAL_MODULE_0__; + +/***/ }), +/* 1 */ +/***/ (function(module, exports, __nested_webpack_require_3185__) { + +"use strict"; + + +var FDLayoutConstants = __nested_webpack_require_3185__(0).FDLayoutConstants; + +function CoSEConstants() {} + +//CoSEConstants inherits static props in FDLayoutConstants +for (var prop in FDLayoutConstants) { + CoSEConstants[prop] = FDLayoutConstants[prop]; +} + +CoSEConstants.DEFAULT_USE_MULTI_LEVEL_SCALING = false; +CoSEConstants.DEFAULT_RADIAL_SEPARATION = FDLayoutConstants.DEFAULT_EDGE_LENGTH; +CoSEConstants.DEFAULT_COMPONENT_SEPERATION = 60; +CoSEConstants.TILE = true; +CoSEConstants.TILING_PADDING_VERTICAL = 10; +CoSEConstants.TILING_PADDING_HORIZONTAL = 10; +CoSEConstants.TREE_REDUCTION_ON_INCREMENTAL = false; // make this true when cose is used incrementally as a part of other non-incremental layout + +module.exports = CoSEConstants; + +/***/ }), +/* 2 */ +/***/ (function(module, exports, __nested_webpack_require_4002__) { + +"use strict"; + + +var FDLayoutEdge = __nested_webpack_require_4002__(0).FDLayoutEdge; + +function CoSEEdge(source, target, vEdge) { + FDLayoutEdge.call(this, source, target, vEdge); +} + +CoSEEdge.prototype = Object.create(FDLayoutEdge.prototype); +for (var prop in FDLayoutEdge) { + CoSEEdge[prop] = FDLayoutEdge[prop]; +} + +module.exports = CoSEEdge; + +/***/ }), +/* 3 */ +/***/ (function(module, exports, __nested_webpack_require_4409__) { + +"use strict"; + + +var LGraph = __nested_webpack_require_4409__(0).LGraph; + +function CoSEGraph(parent, graphMgr, vGraph) { + LGraph.call(this, parent, graphMgr, vGraph); +} + +CoSEGraph.prototype = Object.create(LGraph.prototype); +for (var prop in LGraph) { + CoSEGraph[prop] = LGraph[prop]; +} + +module.exports = CoSEGraph; + +/***/ }), +/* 4 */ +/***/ (function(module, exports, __nested_webpack_require_4790__) { + +"use strict"; + + +var LGraphManager = __nested_webpack_require_4790__(0).LGraphManager; + +function CoSEGraphManager(layout) { + LGraphManager.call(this, layout); +} + +CoSEGraphManager.prototype = Object.create(LGraphManager.prototype); +for (var prop in LGraphManager) { + CoSEGraphManager[prop] = LGraphManager[prop]; +} + +module.exports = CoSEGraphManager; + +/***/ }), +/* 5 */ +/***/ (function(module, exports, __nested_webpack_require_5205__) { + +"use strict"; + + +var FDLayoutNode = __nested_webpack_require_5205__(0).FDLayoutNode; +var IMath = __nested_webpack_require_5205__(0).IMath; + +function CoSENode(gm, loc, size, vNode) { + FDLayoutNode.call(this, gm, loc, size, vNode); +} + +CoSENode.prototype = Object.create(FDLayoutNode.prototype); +for (var prop in FDLayoutNode) { + CoSENode[prop] = FDLayoutNode[prop]; +} + +CoSENode.prototype.move = function () { + var layout = this.graphManager.getLayout(); + this.displacementX = layout.coolingFactor * (this.springForceX + this.repulsionForceX + this.gravitationForceX) / this.noOfChildren; + this.displacementY = layout.coolingFactor * (this.springForceY + this.repulsionForceY + this.gravitationForceY) / this.noOfChildren; + + if (Math.abs(this.displacementX) > layout.coolingFactor * layout.maxNodeDisplacement) { + this.displacementX = layout.coolingFactor * layout.maxNodeDisplacement * IMath.sign(this.displacementX); + } + + if (Math.abs(this.displacementY) > layout.coolingFactor * layout.maxNodeDisplacement) { + this.displacementY = layout.coolingFactor * layout.maxNodeDisplacement * IMath.sign(this.displacementY); + } + + // a simple node, just move it + if (this.child == null) { + this.moveBy(this.displacementX, this.displacementY); + } + // an empty compound node, again just move it + else if (this.child.getNodes().length == 0) { + this.moveBy(this.displacementX, this.displacementY); + } + // non-empty compound node, propogate movement to children as well + else { + this.propogateDisplacementToChildren(this.displacementX, this.displacementY); + } + + layout.totalDisplacement += Math.abs(this.displacementX) + Math.abs(this.displacementY); + + this.springForceX = 0; + this.springForceY = 0; + this.repulsionForceX = 0; + this.repulsionForceY = 0; + this.gravitationForceX = 0; + this.gravitationForceY = 0; + this.displacementX = 0; + this.displacementY = 0; +}; + +CoSENode.prototype.propogateDisplacementToChildren = function (dX, dY) { + var nodes = this.getChild().getNodes(); + var node; + for (var i = 0; i < nodes.length; i++) { + node = nodes[i]; + if (node.getChild() == null) { + node.moveBy(dX, dY); + node.displacementX += dX; + node.displacementY += dY; + } else { + node.propogateDisplacementToChildren(dX, dY); + } + } +}; + +CoSENode.prototype.setPred1 = function (pred1) { + this.pred1 = pred1; +}; + +CoSENode.prototype.getPred1 = function () { + return pred1; +}; + +CoSENode.prototype.getPred2 = function () { + return pred2; +}; + +CoSENode.prototype.setNext = function (next) { + this.next = next; +}; + +CoSENode.prototype.getNext = function () { + return next; +}; + +CoSENode.prototype.setProcessed = function (processed) { + this.processed = processed; +}; + +CoSENode.prototype.isProcessed = function () { + return processed; +}; + +module.exports = CoSENode; + +/***/ }), +/* 6 */ +/***/ (function(module, exports, __nested_webpack_require_8085__) { + +"use strict"; + + +var FDLayout = __nested_webpack_require_8085__(0).FDLayout; +var CoSEGraphManager = __nested_webpack_require_8085__(4); +var CoSEGraph = __nested_webpack_require_8085__(3); +var CoSENode = __nested_webpack_require_8085__(5); +var CoSEEdge = __nested_webpack_require_8085__(2); +var CoSEConstants = __nested_webpack_require_8085__(1); +var FDLayoutConstants = __nested_webpack_require_8085__(0).FDLayoutConstants; +var LayoutConstants = __nested_webpack_require_8085__(0).LayoutConstants; +var Point = __nested_webpack_require_8085__(0).Point; +var PointD = __nested_webpack_require_8085__(0).PointD; +var Layout = __nested_webpack_require_8085__(0).Layout; +var Integer = __nested_webpack_require_8085__(0).Integer; +var IGeometry = __nested_webpack_require_8085__(0).IGeometry; +var LGraph = __nested_webpack_require_8085__(0).LGraph; +var Transform = __nested_webpack_require_8085__(0).Transform; + +function CoSELayout() { + FDLayout.call(this); + + this.toBeTiled = {}; // Memorize if a node is to be tiled or is tiled +} + +CoSELayout.prototype = Object.create(FDLayout.prototype); + +for (var prop in FDLayout) { + CoSELayout[prop] = FDLayout[prop]; +} + +CoSELayout.prototype.newGraphManager = function () { + var gm = new CoSEGraphManager(this); + this.graphManager = gm; + return gm; +}; + +CoSELayout.prototype.newGraph = function (vGraph) { + return new CoSEGraph(null, this.graphManager, vGraph); +}; + +CoSELayout.prototype.newNode = function (vNode) { + return new CoSENode(this.graphManager, vNode); +}; + +CoSELayout.prototype.newEdge = function (vEdge) { + return new CoSEEdge(null, null, vEdge); +}; + +CoSELayout.prototype.initParameters = function () { + FDLayout.prototype.initParameters.call(this, arguments); + if (!this.isSubLayout) { + if (CoSEConstants.DEFAULT_EDGE_LENGTH < 10) { + this.idealEdgeLength = 10; + } else { + this.idealEdgeLength = CoSEConstants.DEFAULT_EDGE_LENGTH; + } + + this.useSmartIdealEdgeLengthCalculation = CoSEConstants.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION; + this.springConstant = FDLayoutConstants.DEFAULT_SPRING_STRENGTH; + this.repulsionConstant = FDLayoutConstants.DEFAULT_REPULSION_STRENGTH; + this.gravityConstant = FDLayoutConstants.DEFAULT_GRAVITY_STRENGTH; + this.compoundGravityConstant = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH; + this.gravityRangeFactor = FDLayoutConstants.DEFAULT_GRAVITY_RANGE_FACTOR; + this.compoundGravityRangeFactor = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR; + + // variables for tree reduction support + this.prunedNodesAll = []; + this.growTreeIterations = 0; + this.afterGrowthIterations = 0; + this.isTreeGrowing = false; + this.isGrowthFinished = false; + + // variables for cooling + this.coolingCycle = 0; + this.maxCoolingCycle = this.maxIterations / FDLayoutConstants.CONVERGENCE_CHECK_PERIOD; + this.finalTemperature = FDLayoutConstants.CONVERGENCE_CHECK_PERIOD / this.maxIterations; + this.coolingAdjuster = 1; + } +}; + +CoSELayout.prototype.layout = function () { + var createBendsAsNeeded = LayoutConstants.DEFAULT_CREATE_BENDS_AS_NEEDED; + if (createBendsAsNeeded) { + this.createBendpoints(); + this.graphManager.resetAllEdges(); + } + + this.level = 0; + return this.classicLayout(); +}; + +CoSELayout.prototype.classicLayout = function () { + this.nodesWithGravity = this.calculateNodesToApplyGravitationTo(); + this.graphManager.setAllNodesToApplyGravitation(this.nodesWithGravity); + this.calcNoOfChildrenForAllNodes(); + this.graphManager.calcLowestCommonAncestors(); + this.graphManager.calcInclusionTreeDepths(); + this.graphManager.getRoot().calcEstimatedSize(); + this.calcIdealEdgeLengths(); + + if (!this.incremental) { + var forest = this.getFlatForest(); + + // The graph associated with this layout is flat and a forest + if (forest.length > 0) { + this.positionNodesRadially(forest); + } + // The graph associated with this layout is not flat or a forest + else { + // Reduce the trees when incremental mode is not enabled and graph is not a forest + this.reduceTrees(); + // Update nodes that gravity will be applied + this.graphManager.resetAllNodesToApplyGravitation(); + var allNodes = new Set(this.getAllNodes()); + var intersection = this.nodesWithGravity.filter(function (x) { + return allNodes.has(x); + }); + this.graphManager.setAllNodesToApplyGravitation(intersection); + + this.positionNodesRandomly(); + } + } else { + if (CoSEConstants.TREE_REDUCTION_ON_INCREMENTAL) { + // Reduce the trees in incremental mode if only this constant is set to true + this.reduceTrees(); + // Update nodes that gravity will be applied + this.graphManager.resetAllNodesToApplyGravitation(); + var allNodes = new Set(this.getAllNodes()); + var intersection = this.nodesWithGravity.filter(function (x) { + return allNodes.has(x); + }); + this.graphManager.setAllNodesToApplyGravitation(intersection); + } + } + + this.initSpringEmbedder(); + this.runSpringEmbedder(); + + return true; +}; + +CoSELayout.prototype.tick = function () { + this.totalIterations++; + + if (this.totalIterations === this.maxIterations && !this.isTreeGrowing && !this.isGrowthFinished) { + if (this.prunedNodesAll.length > 0) { + this.isTreeGrowing = true; + } else { + return true; + } + } + + if (this.totalIterations % FDLayoutConstants.CONVERGENCE_CHECK_PERIOD == 0 && !this.isTreeGrowing && !this.isGrowthFinished) { + if (this.isConverged()) { + if (this.prunedNodesAll.length > 0) { + this.isTreeGrowing = true; + } else { + return true; + } + } + + this.coolingCycle++; + + if (this.layoutQuality == 0) { + // quality - "draft" + this.coolingAdjuster = this.coolingCycle; + } else if (this.layoutQuality == 1) { + // quality - "default" + this.coolingAdjuster = this.coolingCycle / 3; + } + + // cooling schedule is based on http://www.btluke.com/simanf1.html -> cooling schedule 3 + this.coolingFactor = Math.max(this.initialCoolingFactor - Math.pow(this.coolingCycle, Math.log(100 * (this.initialCoolingFactor - this.finalTemperature)) / Math.log(this.maxCoolingCycle)) / 100 * this.coolingAdjuster, this.finalTemperature); + this.animationPeriod = Math.ceil(this.initialAnimationPeriod * Math.sqrt(this.coolingFactor)); + } + // Operations while tree is growing again + if (this.isTreeGrowing) { + if (this.growTreeIterations % 10 == 0) { + if (this.prunedNodesAll.length > 0) { + this.graphManager.updateBounds(); + this.updateGrid(); + this.growTree(this.prunedNodesAll); + // Update nodes that gravity will be applied + this.graphManager.resetAllNodesToApplyGravitation(); + var allNodes = new Set(this.getAllNodes()); + var intersection = this.nodesWithGravity.filter(function (x) { + return allNodes.has(x); + }); + this.graphManager.setAllNodesToApplyGravitation(intersection); + + this.graphManager.updateBounds(); + this.updateGrid(); + this.coolingFactor = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL; + } else { + this.isTreeGrowing = false; + this.isGrowthFinished = true; + } + } + this.growTreeIterations++; + } + // Operations after growth is finished + if (this.isGrowthFinished) { + if (this.isConverged()) { + return true; + } + if (this.afterGrowthIterations % 10 == 0) { + this.graphManager.updateBounds(); + this.updateGrid(); + } + this.coolingFactor = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL * ((100 - this.afterGrowthIterations) / 100); + this.afterGrowthIterations++; + } + + var gridUpdateAllowed = !this.isTreeGrowing && !this.isGrowthFinished; + var forceToNodeSurroundingUpdate = this.growTreeIterations % 10 == 1 && this.isTreeGrowing || this.afterGrowthIterations % 10 == 1 && this.isGrowthFinished; + + this.totalDisplacement = 0; + this.graphManager.updateBounds(); + this.calcSpringForces(); + this.calcRepulsionForces(gridUpdateAllowed, forceToNodeSurroundingUpdate); + this.calcGravitationalForces(); + this.moveNodes(); + this.animate(); + + return false; // Layout is not ended yet return false +}; + +CoSELayout.prototype.getPositionsData = function () { + var allNodes = this.graphManager.getAllNodes(); + var pData = {}; + for (var i = 0; i < allNodes.length; i++) { + var rect = allNodes[i].rect; + var id = allNodes[i].id; + pData[id] = { + id: id, + x: rect.getCenterX(), + y: rect.getCenterY(), + w: rect.width, + h: rect.height + }; + } + + return pData; +}; + +CoSELayout.prototype.runSpringEmbedder = function () { + this.initialAnimationPeriod = 25; + this.animationPeriod = this.initialAnimationPeriod; + var layoutEnded = false; + + // If aminate option is 'during' signal that layout is supposed to start iterating + if (FDLayoutConstants.ANIMATE === 'during') { + this.emit('layoutstarted'); + } else { + // If aminate option is 'during' tick() function will be called on index.js + while (!layoutEnded) { + layoutEnded = this.tick(); + } + + this.graphManager.updateBounds(); + } +}; + +CoSELayout.prototype.calculateNodesToApplyGravitationTo = function () { + var nodeList = []; + var graph; + + var graphs = this.graphManager.getGraphs(); + var size = graphs.length; + var i; + for (i = 0; i < size; i++) { + graph = graphs[i]; + + graph.updateConnected(); + + if (!graph.isConnected) { + nodeList = nodeList.concat(graph.getNodes()); + } + } + + return nodeList; +}; + +CoSELayout.prototype.createBendpoints = function () { + var edges = []; + edges = edges.concat(this.graphManager.getAllEdges()); + var visited = new Set(); + var i; + for (i = 0; i < edges.length; i++) { + var edge = edges[i]; + + if (!visited.has(edge)) { + var source = edge.getSource(); + var target = edge.getTarget(); + + if (source == target) { + edge.getBendpoints().push(new PointD()); + edge.getBendpoints().push(new PointD()); + this.createDummyNodesForBendpoints(edge); + visited.add(edge); + } else { + var edgeList = []; + + edgeList = edgeList.concat(source.getEdgeListToNode(target)); + edgeList = edgeList.concat(target.getEdgeListToNode(source)); + + if (!visited.has(edgeList[0])) { + if (edgeList.length > 1) { + var k; + for (k = 0; k < edgeList.length; k++) { + var multiEdge = edgeList[k]; + multiEdge.getBendpoints().push(new PointD()); + this.createDummyNodesForBendpoints(multiEdge); + } + } + edgeList.forEach(function (edge) { + visited.add(edge); + }); + } + } + } + + if (visited.size == edges.length) { + break; + } + } +}; + +CoSELayout.prototype.positionNodesRadially = function (forest) { + // We tile the trees to a grid row by row; first tree starts at (0,0) + var currentStartingPoint = new Point(0, 0); + var numberOfColumns = Math.ceil(Math.sqrt(forest.length)); + var height = 0; + var currentY = 0; + var currentX = 0; + var point = new PointD(0, 0); + + for (var i = 0; i < forest.length; i++) { + if (i % numberOfColumns == 0) { + // Start of a new row, make the x coordinate 0, increment the + // y coordinate with the max height of the previous row + currentX = 0; + currentY = height; + + if (i != 0) { + currentY += CoSEConstants.DEFAULT_COMPONENT_SEPERATION; + } + + height = 0; + } + + var tree = forest[i]; + + // Find the center of the tree + var centerNode = Layout.findCenterOfTree(tree); + + // Set the staring point of the next tree + currentStartingPoint.x = currentX; + currentStartingPoint.y = currentY; + + // Do a radial layout starting with the center + point = CoSELayout.radialLayout(tree, centerNode, currentStartingPoint); + + if (point.y > height) { + height = Math.floor(point.y); + } + + currentX = Math.floor(point.x + CoSEConstants.DEFAULT_COMPONENT_SEPERATION); + } + + this.transform(new PointD(LayoutConstants.WORLD_CENTER_X - point.x / 2, LayoutConstants.WORLD_CENTER_Y - point.y / 2)); +}; + +CoSELayout.radialLayout = function (tree, centerNode, startingPoint) { + var radialSep = Math.max(this.maxDiagonalInTree(tree), CoSEConstants.DEFAULT_RADIAL_SEPARATION); + CoSELayout.branchRadialLayout(centerNode, null, 0, 359, 0, radialSep); + var bounds = LGraph.calculateBounds(tree); + + var transform = new Transform(); + transform.setDeviceOrgX(bounds.getMinX()); + transform.setDeviceOrgY(bounds.getMinY()); + transform.setWorldOrgX(startingPoint.x); + transform.setWorldOrgY(startingPoint.y); + + for (var i = 0; i < tree.length; i++) { + var node = tree[i]; + node.transform(transform); + } + + var bottomRight = new PointD(bounds.getMaxX(), bounds.getMaxY()); + + return transform.inverseTransformPoint(bottomRight); +}; + +CoSELayout.branchRadialLayout = function (node, parentOfNode, startAngle, endAngle, distance, radialSeparation) { + // First, position this node by finding its angle. + var halfInterval = (endAngle - startAngle + 1) / 2; + + if (halfInterval < 0) { + halfInterval += 180; + } + + var nodeAngle = (halfInterval + startAngle) % 360; + var teta = nodeAngle * IGeometry.TWO_PI / 360; + + // Make polar to java cordinate conversion. + var cos_teta = Math.cos(teta); + var x_ = distance * Math.cos(teta); + var y_ = distance * Math.sin(teta); + + node.setCenter(x_, y_); + + // Traverse all neighbors of this node and recursively call this + // function. + var neighborEdges = []; + neighborEdges = neighborEdges.concat(node.getEdges()); + var childCount = neighborEdges.length; + + if (parentOfNode != null) { + childCount--; + } + + var branchCount = 0; + + var incEdgesCount = neighborEdges.length; + var startIndex; + + var edges = node.getEdgesBetween(parentOfNode); + + // If there are multiple edges, prune them until there remains only one + // edge. + while (edges.length > 1) { + //neighborEdges.remove(edges.remove(0)); + var temp = edges[0]; + edges.splice(0, 1); + var index = neighborEdges.indexOf(temp); + if (index >= 0) { + neighborEdges.splice(index, 1); + } + incEdgesCount--; + childCount--; + } + + if (parentOfNode != null) { + //assert edges.length == 1; + startIndex = (neighborEdges.indexOf(edges[0]) + 1) % incEdgesCount; + } else { + startIndex = 0; + } + + var stepAngle = Math.abs(endAngle - startAngle) / childCount; + + for (var i = startIndex; branchCount != childCount; i = ++i % incEdgesCount) { + var currentNeighbor = neighborEdges[i].getOtherEnd(node); + + // Don't back traverse to root node in current tree. + if (currentNeighbor == parentOfNode) { + continue; + } + + var childStartAngle = (startAngle + branchCount * stepAngle) % 360; + var childEndAngle = (childStartAngle + stepAngle) % 360; + + CoSELayout.branchRadialLayout(currentNeighbor, node, childStartAngle, childEndAngle, distance + radialSeparation, radialSeparation); + + branchCount++; + } +}; + +CoSELayout.maxDiagonalInTree = function (tree) { + var maxDiagonal = Integer.MIN_VALUE; + + for (var i = 0; i < tree.length; i++) { + var node = tree[i]; + var diagonal = node.getDiagonal(); + + if (diagonal > maxDiagonal) { + maxDiagonal = diagonal; + } + } + + return maxDiagonal; +}; + +CoSELayout.prototype.calcRepulsionRange = function () { + // formula is 2 x (level + 1) x idealEdgeLength + return 2 * (this.level + 1) * this.idealEdgeLength; +}; + +// Tiling methods + +// Group zero degree members whose parents are not to be tiled, create dummy parents where needed and fill memberGroups by their dummp parent id's +CoSELayout.prototype.groupZeroDegreeMembers = function () { + var self = this; + // array of [parent_id x oneDegreeNode_id] + var tempMemberGroups = {}; // A temporary map of parent node and its zero degree members + this.memberGroups = {}; // A map of dummy parent node and its zero degree members whose parents are not to be tiled + this.idToDummyNode = {}; // A map of id to dummy node + + var zeroDegree = []; // List of zero degree nodes whose parents are not to be tiled + var allNodes = this.graphManager.getAllNodes(); + + // Fill zero degree list + for (var i = 0; i < allNodes.length; i++) { + var node = allNodes[i]; + var parent = node.getParent(); + // If a node has zero degree and its parent is not to be tiled if exists add that node to zeroDegres list + if (this.getNodeDegreeWithChildren(node) === 0 && (parent.id == undefined || !this.getToBeTiled(parent))) { + zeroDegree.push(node); + } + } + + // Create a map of parent node and its zero degree members + for (var i = 0; i < zeroDegree.length; i++) { + var node = zeroDegree[i]; // Zero degree node itself + var p_id = node.getParent().id; // Parent id + + if (typeof tempMemberGroups[p_id] === "undefined") tempMemberGroups[p_id] = []; + + tempMemberGroups[p_id] = tempMemberGroups[p_id].concat(node); // Push node to the list belongs to its parent in tempMemberGroups + } + + // If there are at least two nodes at a level, create a dummy compound for them + Object.keys(tempMemberGroups).forEach(function (p_id) { + if (tempMemberGroups[p_id].length > 1) { + var dummyCompoundId = "DummyCompound_" + p_id; // The id of dummy compound which will be created soon + self.memberGroups[dummyCompoundId] = tempMemberGroups[p_id]; // Add dummy compound to memberGroups + + var parent = tempMemberGroups[p_id][0].getParent(); // The parent of zero degree nodes will be the parent of new dummy compound + + // Create a dummy compound with calculated id + var dummyCompound = new CoSENode(self.graphManager); + dummyCompound.id = dummyCompoundId; + dummyCompound.paddingLeft = parent.paddingLeft || 0; + dummyCompound.paddingRight = parent.paddingRight || 0; + dummyCompound.paddingBottom = parent.paddingBottom || 0; + dummyCompound.paddingTop = parent.paddingTop || 0; + + self.idToDummyNode[dummyCompoundId] = dummyCompound; + + var dummyParentGraph = self.getGraphManager().add(self.newGraph(), dummyCompound); + var parentGraph = parent.getChild(); + + // Add dummy compound to parent the graph + parentGraph.add(dummyCompound); + + // For each zero degree node in this level remove it from its parent graph and add it to the graph of dummy parent + for (var i = 0; i < tempMemberGroups[p_id].length; i++) { + var node = tempMemberGroups[p_id][i]; + + parentGraph.remove(node); + dummyParentGraph.add(node); + } + } + }); +}; + +CoSELayout.prototype.clearCompounds = function () { + var childGraphMap = {}; + var idToNode = {}; + + // Get compound ordering by finding the inner one first + this.performDFSOnCompounds(); + + for (var i = 0; i < this.compoundOrder.length; i++) { + + idToNode[this.compoundOrder[i].id] = this.compoundOrder[i]; + childGraphMap[this.compoundOrder[i].id] = [].concat(this.compoundOrder[i].getChild().getNodes()); + + // Remove children of compounds + this.graphManager.remove(this.compoundOrder[i].getChild()); + this.compoundOrder[i].child = null; + } + + this.graphManager.resetAllNodes(); + + // Tile the removed children + this.tileCompoundMembers(childGraphMap, idToNode); +}; + +CoSELayout.prototype.clearZeroDegreeMembers = function () { + var self = this; + var tiledZeroDegreePack = this.tiledZeroDegreePack = []; + + Object.keys(this.memberGroups).forEach(function (id) { + var compoundNode = self.idToDummyNode[id]; // Get the dummy compound + + tiledZeroDegreePack[id] = self.tileNodes(self.memberGroups[id], compoundNode.paddingLeft + compoundNode.paddingRight); + + // Set the width and height of the dummy compound as calculated + compoundNode.rect.width = tiledZeroDegreePack[id].width; + compoundNode.rect.height = tiledZeroDegreePack[id].height; + }); +}; + +CoSELayout.prototype.repopulateCompounds = function () { + for (var i = this.compoundOrder.length - 1; i >= 0; i--) { + var lCompoundNode = this.compoundOrder[i]; + var id = lCompoundNode.id; + var horizontalMargin = lCompoundNode.paddingLeft; + var verticalMargin = lCompoundNode.paddingTop; + + this.adjustLocations(this.tiledMemberPack[id], lCompoundNode.rect.x, lCompoundNode.rect.y, horizontalMargin, verticalMargin); + } +}; + +CoSELayout.prototype.repopulateZeroDegreeMembers = function () { + var self = this; + var tiledPack = this.tiledZeroDegreePack; + + Object.keys(tiledPack).forEach(function (id) { + var compoundNode = self.idToDummyNode[id]; // Get the dummy compound by its id + var horizontalMargin = compoundNode.paddingLeft; + var verticalMargin = compoundNode.paddingTop; + + // Adjust the positions of nodes wrt its compound + self.adjustLocations(tiledPack[id], compoundNode.rect.x, compoundNode.rect.y, horizontalMargin, verticalMargin); + }); +}; + +CoSELayout.prototype.getToBeTiled = function (node) { + var id = node.id; + //firstly check the previous results + if (this.toBeTiled[id] != null) { + return this.toBeTiled[id]; + } + + //only compound nodes are to be tiled + var childGraph = node.getChild(); + if (childGraph == null) { + this.toBeTiled[id] = false; + return false; + } + + var children = childGraph.getNodes(); // Get the children nodes + + //a compound node is not to be tiled if all of its compound children are not to be tiled + for (var i = 0; i < children.length; i++) { + var theChild = children[i]; + + if (this.getNodeDegree(theChild) > 0) { + this.toBeTiled[id] = false; + return false; + } + + //pass the children not having the compound structure + if (theChild.getChild() == null) { + this.toBeTiled[theChild.id] = false; + continue; + } + + if (!this.getToBeTiled(theChild)) { + this.toBeTiled[id] = false; + return false; + } + } + this.toBeTiled[id] = true; + return true; +}; + +// Get degree of a node depending of its edges and independent of its children +CoSELayout.prototype.getNodeDegree = function (node) { + var id = node.id; + var edges = node.getEdges(); + var degree = 0; + + // For the edges connected + for (var i = 0; i < edges.length; i++) { + var edge = edges[i]; + if (edge.getSource().id !== edge.getTarget().id) { + degree = degree + 1; + } + } + return degree; +}; + +// Get degree of a node with its children +CoSELayout.prototype.getNodeDegreeWithChildren = function (node) { + var degree = this.getNodeDegree(node); + if (node.getChild() == null) { + return degree; + } + var children = node.getChild().getNodes(); + for (var i = 0; i < children.length; i++) { + var child = children[i]; + degree += this.getNodeDegreeWithChildren(child); + } + return degree; +}; + +CoSELayout.prototype.performDFSOnCompounds = function () { + this.compoundOrder = []; + this.fillCompexOrderByDFS(this.graphManager.getRoot().getNodes()); +}; + +CoSELayout.prototype.fillCompexOrderByDFS = function (children) { + for (var i = 0; i < children.length; i++) { + var child = children[i]; + if (child.getChild() != null) { + this.fillCompexOrderByDFS(child.getChild().getNodes()); + } + if (this.getToBeTiled(child)) { + this.compoundOrder.push(child); + } + } +}; + +/** +* This method places each zero degree member wrt given (x,y) coordinates (top left). +*/ +CoSELayout.prototype.adjustLocations = function (organization, x, y, compoundHorizontalMargin, compoundVerticalMargin) { + x += compoundHorizontalMargin; + y += compoundVerticalMargin; + + var left = x; + + for (var i = 0; i < organization.rows.length; i++) { + var row = organization.rows[i]; + x = left; + var maxHeight = 0; + + for (var j = 0; j < row.length; j++) { + var lnode = row[j]; + + lnode.rect.x = x; // + lnode.rect.width / 2; + lnode.rect.y = y; // + lnode.rect.height / 2; + + x += lnode.rect.width + organization.horizontalPadding; + + if (lnode.rect.height > maxHeight) maxHeight = lnode.rect.height; + } + + y += maxHeight + organization.verticalPadding; + } +}; + +CoSELayout.prototype.tileCompoundMembers = function (childGraphMap, idToNode) { + var self = this; + this.tiledMemberPack = []; + + Object.keys(childGraphMap).forEach(function (id) { + // Get the compound node + var compoundNode = idToNode[id]; + + self.tiledMemberPack[id] = self.tileNodes(childGraphMap[id], compoundNode.paddingLeft + compoundNode.paddingRight); + + compoundNode.rect.width = self.tiledMemberPack[id].width; + compoundNode.rect.height = self.tiledMemberPack[id].height; + }); +}; + +CoSELayout.prototype.tileNodes = function (nodes, minWidth) { + var verticalPadding = CoSEConstants.TILING_PADDING_VERTICAL; + var horizontalPadding = CoSEConstants.TILING_PADDING_HORIZONTAL; + var organization = { + rows: [], + rowWidth: [], + rowHeight: [], + width: 0, + height: minWidth, // assume minHeight equals to minWidth + verticalPadding: verticalPadding, + horizontalPadding: horizontalPadding + }; + + // Sort the nodes in ascending order of their areas + nodes.sort(function (n1, n2) { + if (n1.rect.width * n1.rect.height > n2.rect.width * n2.rect.height) return -1; + if (n1.rect.width * n1.rect.height < n2.rect.width * n2.rect.height) return 1; + return 0; + }); + + // Create the organization -> tile members + for (var i = 0; i < nodes.length; i++) { + var lNode = nodes[i]; + + if (organization.rows.length == 0) { + this.insertNodeToRow(organization, lNode, 0, minWidth); + } else if (this.canAddHorizontal(organization, lNode.rect.width, lNode.rect.height)) { + this.insertNodeToRow(organization, lNode, this.getShortestRowIndex(organization), minWidth); + } else { + this.insertNodeToRow(organization, lNode, organization.rows.length, minWidth); + } + + this.shiftToLastRow(organization); + } + + return organization; +}; + +CoSELayout.prototype.insertNodeToRow = function (organization, node, rowIndex, minWidth) { + var minCompoundSize = minWidth; + + // Add new row if needed + if (rowIndex == organization.rows.length) { + var secondDimension = []; + + organization.rows.push(secondDimension); + organization.rowWidth.push(minCompoundSize); + organization.rowHeight.push(0); + } + + // Update row width + var w = organization.rowWidth[rowIndex] + node.rect.width; + + if (organization.rows[rowIndex].length > 0) { + w += organization.horizontalPadding; + } + + organization.rowWidth[rowIndex] = w; + // Update compound width + if (organization.width < w) { + organization.width = w; + } + + // Update height + var h = node.rect.height; + if (rowIndex > 0) h += organization.verticalPadding; + + var extraHeight = 0; + if (h > organization.rowHeight[rowIndex]) { + extraHeight = organization.rowHeight[rowIndex]; + organization.rowHeight[rowIndex] = h; + extraHeight = organization.rowHeight[rowIndex] - extraHeight; + } + + organization.height += extraHeight; + + // Insert node + organization.rows[rowIndex].push(node); +}; + +//Scans the rows of an organization and returns the one with the min width +CoSELayout.prototype.getShortestRowIndex = function (organization) { + var r = -1; + var min = Number.MAX_VALUE; + + for (var i = 0; i < organization.rows.length; i++) { + if (organization.rowWidth[i] < min) { + r = i; + min = organization.rowWidth[i]; + } + } + return r; +}; + +//Scans the rows of an organization and returns the one with the max width +CoSELayout.prototype.getLongestRowIndex = function (organization) { + var r = -1; + var max = Number.MIN_VALUE; + + for (var i = 0; i < organization.rows.length; i++) { + + if (organization.rowWidth[i] > max) { + r = i; + max = organization.rowWidth[i]; + } + } + + return r; +}; + +/** +* This method checks whether adding extra width to the organization violates +* the aspect ratio(1) or not. +*/ +CoSELayout.prototype.canAddHorizontal = function (organization, extraWidth, extraHeight) { + + var sri = this.getShortestRowIndex(organization); + + if (sri < 0) { + return true; + } + + var min = organization.rowWidth[sri]; + + if (min + organization.horizontalPadding + extraWidth <= organization.width) return true; + + var hDiff = 0; + + // Adding to an existing row + if (organization.rowHeight[sri] < extraHeight) { + if (sri > 0) hDiff = extraHeight + organization.verticalPadding - organization.rowHeight[sri]; + } + + var add_to_row_ratio; + if (organization.width - min >= extraWidth + organization.horizontalPadding) { + add_to_row_ratio = (organization.height + hDiff) / (min + extraWidth + organization.horizontalPadding); + } else { + add_to_row_ratio = (organization.height + hDiff) / organization.width; + } + + // Adding a new row for this node + hDiff = extraHeight + organization.verticalPadding; + var add_new_row_ratio; + if (organization.width < extraWidth) { + add_new_row_ratio = (organization.height + hDiff) / extraWidth; + } else { + add_new_row_ratio = (organization.height + hDiff) / organization.width; + } + + if (add_new_row_ratio < 1) add_new_row_ratio = 1 / add_new_row_ratio; + + if (add_to_row_ratio < 1) add_to_row_ratio = 1 / add_to_row_ratio; + + return add_to_row_ratio < add_new_row_ratio; +}; + +//If moving the last node from the longest row and adding it to the last +//row makes the bounding box smaller, do it. +CoSELayout.prototype.shiftToLastRow = function (organization) { + var longest = this.getLongestRowIndex(organization); + var last = organization.rowWidth.length - 1; + var row = organization.rows[longest]; + var node = row[row.length - 1]; + + var diff = node.width + organization.horizontalPadding; + + // Check if there is enough space on the last row + if (organization.width - organization.rowWidth[last] > diff && longest != last) { + // Remove the last element of the longest row + row.splice(-1, 1); + + // Push it to the last row + organization.rows[last].push(node); + + organization.rowWidth[longest] = organization.rowWidth[longest] - diff; + organization.rowWidth[last] = organization.rowWidth[last] + diff; + organization.width = organization.rowWidth[instance.getLongestRowIndex(organization)]; + + // Update heights of the organization + var maxHeight = Number.MIN_VALUE; + for (var i = 0; i < row.length; i++) { + if (row[i].height > maxHeight) maxHeight = row[i].height; + } + if (longest > 0) maxHeight += organization.verticalPadding; + + var prevTotal = organization.rowHeight[longest] + organization.rowHeight[last]; + + organization.rowHeight[longest] = maxHeight; + if (organization.rowHeight[last] < node.height + organization.verticalPadding) organization.rowHeight[last] = node.height + organization.verticalPadding; + + var finalTotal = organization.rowHeight[longest] + organization.rowHeight[last]; + organization.height += finalTotal - prevTotal; + + this.shiftToLastRow(organization); + } +}; + +CoSELayout.prototype.tilingPreLayout = function () { + if (CoSEConstants.TILE) { + // Find zero degree nodes and create a compound for each level + this.groupZeroDegreeMembers(); + // Tile and clear children of each compound + this.clearCompounds(); + // Separately tile and clear zero degree nodes for each level + this.clearZeroDegreeMembers(); + } +}; + +CoSELayout.prototype.tilingPostLayout = function () { + if (CoSEConstants.TILE) { + this.repopulateZeroDegreeMembers(); + this.repopulateCompounds(); + } +}; + +// ----------------------------------------------------------------------------- +// Section: Tree Reduction methods +// ----------------------------------------------------------------------------- +// Reduce trees +CoSELayout.prototype.reduceTrees = function () { + var prunedNodesAll = []; + var containsLeaf = true; + var node; + + while (containsLeaf) { + var allNodes = this.graphManager.getAllNodes(); + var prunedNodesInStepTemp = []; + containsLeaf = false; + + for (var i = 0; i < allNodes.length; i++) { + node = allNodes[i]; + if (node.getEdges().length == 1 && !node.getEdges()[0].isInterGraph && node.getChild() == null) { + prunedNodesInStepTemp.push([node, node.getEdges()[0], node.getOwner()]); + containsLeaf = true; + } + } + if (containsLeaf == true) { + var prunedNodesInStep = []; + for (var j = 0; j < prunedNodesInStepTemp.length; j++) { + if (prunedNodesInStepTemp[j][0].getEdges().length == 1) { + prunedNodesInStep.push(prunedNodesInStepTemp[j]); + prunedNodesInStepTemp[j][0].getOwner().remove(prunedNodesInStepTemp[j][0]); + } + } + prunedNodesAll.push(prunedNodesInStep); + this.graphManager.resetAllNodes(); + this.graphManager.resetAllEdges(); + } + } + this.prunedNodesAll = prunedNodesAll; +}; + +// Grow tree one step +CoSELayout.prototype.growTree = function (prunedNodesAll) { + var lengthOfPrunedNodesInStep = prunedNodesAll.length; + var prunedNodesInStep = prunedNodesAll[lengthOfPrunedNodesInStep - 1]; + + var nodeData; + for (var i = 0; i < prunedNodesInStep.length; i++) { + nodeData = prunedNodesInStep[i]; + + this.findPlaceforPrunedNode(nodeData); + + nodeData[2].add(nodeData[0]); + nodeData[2].add(nodeData[1], nodeData[1].source, nodeData[1].target); + } + + prunedNodesAll.splice(prunedNodesAll.length - 1, 1); + this.graphManager.resetAllNodes(); + this.graphManager.resetAllEdges(); +}; + +// Find an appropriate position to replace pruned node, this method can be improved +CoSELayout.prototype.findPlaceforPrunedNode = function (nodeData) { + + var gridForPrunedNode; + var nodeToConnect; + var prunedNode = nodeData[0]; + if (prunedNode == nodeData[1].source) { + nodeToConnect = nodeData[1].target; + } else { + nodeToConnect = nodeData[1].source; + } + var startGridX = nodeToConnect.startX; + var finishGridX = nodeToConnect.finishX; + var startGridY = nodeToConnect.startY; + var finishGridY = nodeToConnect.finishY; + + var upNodeCount = 0; + var downNodeCount = 0; + var rightNodeCount = 0; + var leftNodeCount = 0; + var controlRegions = [upNodeCount, rightNodeCount, downNodeCount, leftNodeCount]; + + if (startGridY > 0) { + for (var i = startGridX; i <= finishGridX; i++) { + controlRegions[0] += this.grid[i][startGridY - 1].length + this.grid[i][startGridY].length - 1; + } + } + if (finishGridX < this.grid.length - 1) { + for (var i = startGridY; i <= finishGridY; i++) { + controlRegions[1] += this.grid[finishGridX + 1][i].length + this.grid[finishGridX][i].length - 1; + } + } + if (finishGridY < this.grid[0].length - 1) { + for (var i = startGridX; i <= finishGridX; i++) { + controlRegions[2] += this.grid[i][finishGridY + 1].length + this.grid[i][finishGridY].length - 1; + } + } + if (startGridX > 0) { + for (var i = startGridY; i <= finishGridY; i++) { + controlRegions[3] += this.grid[startGridX - 1][i].length + this.grid[startGridX][i].length - 1; + } + } + var min = Integer.MAX_VALUE; + var minCount; + var minIndex; + for (var j = 0; j < controlRegions.length; j++) { + if (controlRegions[j] < min) { + min = controlRegions[j]; + minCount = 1; + minIndex = j; + } else if (controlRegions[j] == min) { + minCount++; + } + } + + if (minCount == 3 && min == 0) { + if (controlRegions[0] == 0 && controlRegions[1] == 0 && controlRegions[2] == 0) { + gridForPrunedNode = 1; + } else if (controlRegions[0] == 0 && controlRegions[1] == 0 && controlRegions[3] == 0) { + gridForPrunedNode = 0; + } else if (controlRegions[0] == 0 && controlRegions[2] == 0 && controlRegions[3] == 0) { + gridForPrunedNode = 3; + } else if (controlRegions[1] == 0 && controlRegions[2] == 0 && controlRegions[3] == 0) { + gridForPrunedNode = 2; + } + } else if (minCount == 2 && min == 0) { + var random = Math.floor(Math.random() * 2); + if (controlRegions[0] == 0 && controlRegions[1] == 0) { + ; + if (random == 0) { + gridForPrunedNode = 0; + } else { + gridForPrunedNode = 1; + } + } else if (controlRegions[0] == 0 && controlRegions[2] == 0) { + if (random == 0) { + gridForPrunedNode = 0; + } else { + gridForPrunedNode = 2; + } + } else if (controlRegions[0] == 0 && controlRegions[3] == 0) { + if (random == 0) { + gridForPrunedNode = 0; + } else { + gridForPrunedNode = 3; + } + } else if (controlRegions[1] == 0 && controlRegions[2] == 0) { + if (random == 0) { + gridForPrunedNode = 1; + } else { + gridForPrunedNode = 2; + } + } else if (controlRegions[1] == 0 && controlRegions[3] == 0) { + if (random == 0) { + gridForPrunedNode = 1; + } else { + gridForPrunedNode = 3; + } + } else { + if (random == 0) { + gridForPrunedNode = 2; + } else { + gridForPrunedNode = 3; + } + } + } else if (minCount == 4 && min == 0) { + var random = Math.floor(Math.random() * 4); + gridForPrunedNode = random; + } else { + gridForPrunedNode = minIndex; + } + + if (gridForPrunedNode == 0) { + prunedNode.setCenter(nodeToConnect.getCenterX(), nodeToConnect.getCenterY() - nodeToConnect.getHeight() / 2 - FDLayoutConstants.DEFAULT_EDGE_LENGTH - prunedNode.getHeight() / 2); + } else if (gridForPrunedNode == 1) { + prunedNode.setCenter(nodeToConnect.getCenterX() + nodeToConnect.getWidth() / 2 + FDLayoutConstants.DEFAULT_EDGE_LENGTH + prunedNode.getWidth() / 2, nodeToConnect.getCenterY()); + } else if (gridForPrunedNode == 2) { + prunedNode.setCenter(nodeToConnect.getCenterX(), nodeToConnect.getCenterY() + nodeToConnect.getHeight() / 2 + FDLayoutConstants.DEFAULT_EDGE_LENGTH + prunedNode.getHeight() / 2); + } else { + prunedNode.setCenter(nodeToConnect.getCenterX() - nodeToConnect.getWidth() / 2 - FDLayoutConstants.DEFAULT_EDGE_LENGTH - prunedNode.getWidth() / 2, nodeToConnect.getCenterY()); + } +}; + +module.exports = CoSELayout; + +/***/ }), +/* 7 */ +/***/ (function(module, exports, __nested_webpack_require_45620__) { + +"use strict"; + + +var coseBase = {}; + +coseBase.layoutBase = __nested_webpack_require_45620__(0); +coseBase.CoSEConstants = __nested_webpack_require_45620__(1); +coseBase.CoSEEdge = __nested_webpack_require_45620__(2); +coseBase.CoSEGraph = __nested_webpack_require_45620__(3); +coseBase.CoSEGraphManager = __nested_webpack_require_45620__(4); +coseBase.CoSELayout = __nested_webpack_require_45620__(6); +coseBase.CoSENode = __nested_webpack_require_45620__(5); + +module.exports = coseBase; + +/***/ }) +/******/ ]); +}); + +/***/ }), + +/***/ 81176: +/***/ (function(module, __unused_webpack_exports, __webpack_require__) { + +(function webpackUniversalModuleDefinition(root, factory) { + if(true) + module.exports = factory(__webpack_require__(75352)); + else {} +})(this, function(__WEBPACK_EXTERNAL_MODULE_0__) { +return /******/ (function(modules) { // webpackBootstrap +/******/ // The module cache +/******/ var installedModules = {}; +/******/ +/******/ // The require function +/******/ 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__nested_webpack_require_3201__(0).CoSELayout; +var CoSENode = __nested_webpack_require_3201__(0).CoSENode; +var PointD = __nested_webpack_require_3201__(0).layoutBase.PointD; +var DimensionD = __nested_webpack_require_3201__(0).layoutBase.DimensionD; + +var defaults = { + // Called on `layoutready` + ready: function ready() {}, + // Called on `layoutstop` + stop: function stop() {}, + // 'draft', 'default' or 'proof" + // - 'draft' fast cooling rate + // - 'default' moderate cooling rate + // - "proof" slow cooling rate + quality: 'default', + // include labels in node dimensions + nodeDimensionsIncludeLabels: false, + // number of ticks per frame; higher is faster but more jerky + refresh: 30, + // Whether to fit the network view after when done + fit: true, + // Padding on fit + padding: 10, + // Whether to enable incremental mode + randomize: true, + // Node repulsion (non overlapping) multiplier + nodeRepulsion: 4500, + // Ideal edge (non nested) length + idealEdgeLength: 50, + // Divisor to compute edge forces + edgeElasticity: 0.45, + // Nesting factor (multiplier) to compute ideal edge length for nested edges + nestingFactor: 0.1, + // Gravity force (constant) + gravity: 0.25, + // Maximum number of iterations to perform + numIter: 2500, + // For enabling tiling + tile: true, + // Type of layout animation. The option set is {'during', 'end', false} + animate: 'end', + // Duration for animate:end + animationDuration: 500, + // Represents the amount of the vertical space to put between the zero degree members during the tiling operation(can also be a function) + tilingPaddingVertical: 10, + // Represents the amount of the horizontal space to put between the zero degree members during the tiling operation(can also be a function) + tilingPaddingHorizontal: 10, + // Gravity range (constant) for compounds + gravityRangeCompound: 1.5, + // Gravity force (constant) for compounds + gravityCompound: 1.0, + // Gravity range (constant) + gravityRange: 3.8, + // Initial cooling factor for incremental layout + initialEnergyOnIncremental: 0.5 +}; + +function extend(defaults, options) { + var obj = {}; + + for (var i in defaults) { + obj[i] = defaults[i]; + } + + for (var i in options) { + obj[i] = options[i]; + } + + return obj; +}; + +function _CoSELayout(_options) { + this.options = extend(defaults, _options); + getUserOptions(this.options); +} + +var getUserOptions = function getUserOptions(options) { + if (options.nodeRepulsion != null) CoSEConstants.DEFAULT_REPULSION_STRENGTH = FDLayoutConstants.DEFAULT_REPULSION_STRENGTH = options.nodeRepulsion; + if (options.idealEdgeLength != null) CoSEConstants.DEFAULT_EDGE_LENGTH = FDLayoutConstants.DEFAULT_EDGE_LENGTH = options.idealEdgeLength; + if (options.edgeElasticity != null) CoSEConstants.DEFAULT_SPRING_STRENGTH = FDLayoutConstants.DEFAULT_SPRING_STRENGTH = options.edgeElasticity; + if (options.nestingFactor != null) CoSEConstants.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR = FDLayoutConstants.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR = options.nestingFactor; + if (options.gravity != null) CoSEConstants.DEFAULT_GRAVITY_STRENGTH = FDLayoutConstants.DEFAULT_GRAVITY_STRENGTH = options.gravity; + if (options.numIter != null) CoSEConstants.MAX_ITERATIONS = FDLayoutConstants.MAX_ITERATIONS = options.numIter; + if (options.gravityRange != null) CoSEConstants.DEFAULT_GRAVITY_RANGE_FACTOR = FDLayoutConstants.DEFAULT_GRAVITY_RANGE_FACTOR = options.gravityRange; + if (options.gravityCompound != null) CoSEConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH = options.gravityCompound; + if (options.gravityRangeCompound != null) CoSEConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR = options.gravityRangeCompound; + if (options.initialEnergyOnIncremental != null) CoSEConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL = options.initialEnergyOnIncremental; + + if (options.quality == 'draft') LayoutConstants.QUALITY = 0;else if (options.quality == 'proof') LayoutConstants.QUALITY = 2;else LayoutConstants.QUALITY = 1; + + CoSEConstants.NODE_DIMENSIONS_INCLUDE_LABELS = FDLayoutConstants.NODE_DIMENSIONS_INCLUDE_LABELS = LayoutConstants.NODE_DIMENSIONS_INCLUDE_LABELS = options.nodeDimensionsIncludeLabels; + CoSEConstants.DEFAULT_INCREMENTAL = FDLayoutConstants.DEFAULT_INCREMENTAL = LayoutConstants.DEFAULT_INCREMENTAL = !options.randomize; + CoSEConstants.ANIMATE = FDLayoutConstants.ANIMATE = LayoutConstants.ANIMATE = options.animate; + CoSEConstants.TILE = options.tile; + CoSEConstants.TILING_PADDING_VERTICAL = typeof options.tilingPaddingVertical === 'function' ? options.tilingPaddingVertical.call() : options.tilingPaddingVertical; + CoSEConstants.TILING_PADDING_HORIZONTAL = typeof options.tilingPaddingHorizontal === 'function' ? options.tilingPaddingHorizontal.call() : options.tilingPaddingHorizontal; +}; + +_CoSELayout.prototype.run = function () { + var ready; + var frameId; + var options = this.options; + var idToLNode = this.idToLNode = {}; + var layout = this.layout = new CoSELayout(); + var self = this; + + self.stopped = false; + + this.cy = this.options.cy; + + this.cy.trigger({ type: 'layoutstart', layout: this }); + + var gm = layout.newGraphManager(); + this.gm = gm; + + var nodes = this.options.eles.nodes(); + var edges = this.options.eles.edges(); + + this.root = gm.addRoot(); + this.processChildrenList(this.root, this.getTopMostNodes(nodes), layout); + + for (var i = 0; i < edges.length; i++) { + var edge = edges[i]; + var sourceNode = this.idToLNode[edge.data("source")]; + var targetNode = this.idToLNode[edge.data("target")]; + if (sourceNode !== targetNode && sourceNode.getEdgesBetween(targetNode).length == 0) { + var e1 = gm.add(layout.newEdge(), sourceNode, targetNode); + e1.id = edge.id(); + } + } + + var getPositions = function getPositions(ele, i) { + if (typeof ele === "number") { + ele = i; + } + var theId = ele.data('id'); + var lNode = self.idToLNode[theId]; + + return { + x: lNode.getRect().getCenterX(), + y: lNode.getRect().getCenterY() + }; + }; + + /* + * Reposition nodes in iterations animatedly + */ + var iterateAnimated = function iterateAnimated() { + // Thigs to perform after nodes are repositioned on screen + var afterReposition = function afterReposition() { + if (options.fit) { + options.cy.fit(options.eles, options.padding); + } + + if (!ready) { + ready = true; + self.cy.one('layoutready', options.ready); + self.cy.trigger({ type: 'layoutready', layout: self }); + } + }; + + var ticksPerFrame = self.options.refresh; + var isDone; + + for (var i = 0; i < ticksPerFrame && !isDone; i++) { + isDone = self.stopped || self.layout.tick(); + } + + // If layout is done + if (isDone) { + // If the layout is not a sublayout and it is successful perform post layout. + if (layout.checkLayoutSuccess() && !layout.isSubLayout) { + layout.doPostLayout(); + } + + // If layout has a tilingPostLayout function property call it. + if (layout.tilingPostLayout) { + layout.tilingPostLayout(); + } + + layout.isLayoutFinished = true; + + self.options.eles.nodes().positions(getPositions); + + afterReposition(); + + // trigger layoutstop when the layout stops (e.g. finishes) + self.cy.one('layoutstop', self.options.stop); + self.cy.trigger({ type: 'layoutstop', layout: self }); + + if (frameId) { + cancelAnimationFrame(frameId); + } + + ready = false; + return; + } + + var animationData = self.layout.getPositionsData(); // Get positions of layout nodes note that all nodes may not be layout nodes because of tiling + + // Position nodes, for the nodes whose id does not included in data (because they are removed from their parents and included in dummy compounds) + // use position of their ancestors or dummy ancestors + options.eles.nodes().positions(function (ele, i) { + if (typeof ele === "number") { + ele = i; + } + // If ele is a compound node, then its position will be defined by its children + if (!ele.isParent()) { + var theId = ele.id(); + var pNode = animationData[theId]; + var temp = ele; + // If pNode is undefined search until finding position data of its first ancestor (It may be dummy as well) + while (pNode == null) { + pNode = animationData[temp.data('parent')] || animationData['DummyCompound_' + temp.data('parent')]; + animationData[theId] = pNode; + temp = temp.parent()[0]; + if (temp == undefined) { + break; + } + } + if (pNode != null) { + return { + x: pNode.x, + y: pNode.y + }; + } else { + return { + x: ele.position('x'), + y: ele.position('y') + }; + } + } + }); + + afterReposition(); + + frameId = requestAnimationFrame(iterateAnimated); + }; + + /* + * Listen 'layoutstarted' event and start animated iteration if animate option is 'during' + */ + layout.addListener('layoutstarted', function () { + if (self.options.animate === 'during') { + frameId = requestAnimationFrame(iterateAnimated); + } + }); + + layout.runLayout(); // Run cose layout + + /* + * If animate option is not 'during' ('end' or false) perform these here (If it is 'during' similar things are already performed) + */ + if (this.options.animate !== "during") { + self.options.eles.nodes().not(":parent").layoutPositions(self, self.options, getPositions); // Use layout positions to reposition the nodes it considers the options parameter + ready = false; + } + + return this; // chaining +}; + +//Get the top most ones of a list of nodes +_CoSELayout.prototype.getTopMostNodes = function (nodes) { + var nodesMap = {}; + for (var i = 0; i < nodes.length; i++) { + nodesMap[nodes[i].id()] = true; + } + var roots = nodes.filter(function (ele, i) { + if (typeof ele === "number") { + ele = i; + } + var parent = ele.parent()[0]; + while (parent != null) { + if (nodesMap[parent.id()]) { + return false; + } + parent = parent.parent()[0]; + } + return true; + }); + + return roots; +}; + +_CoSELayout.prototype.processChildrenList = function (parent, children, layout) { + var size = children.length; + for (var i = 0; i < size; i++) { + var theChild = children[i]; + var children_of_children = theChild.children(); + var theNode; + + var dimensions = theChild.layoutDimensions({ + nodeDimensionsIncludeLabels: this.options.nodeDimensionsIncludeLabels + }); + + if (theChild.outerWidth() != null && theChild.outerHeight() != null) { + theNode = parent.add(new CoSENode(layout.graphManager, new PointD(theChild.position('x') - dimensions.w / 2, theChild.position('y') - dimensions.h / 2), new DimensionD(parseFloat(dimensions.w), parseFloat(dimensions.h)))); + } else { + theNode = parent.add(new CoSENode(this.graphManager)); + } + // Attach id to the layout node + theNode.id = theChild.data("id"); + // Attach the paddings of cy node to layout node + theNode.paddingLeft = parseInt(theChild.css('padding')); + theNode.paddingTop = parseInt(theChild.css('padding')); + theNode.paddingRight = parseInt(theChild.css('padding')); + theNode.paddingBottom = parseInt(theChild.css('padding')); + + //Attach the label properties to compound if labels will be included in node dimensions + if (this.options.nodeDimensionsIncludeLabels) { + if (theChild.isParent()) { + var labelWidth = theChild.boundingBox({ includeLabels: true, includeNodes: false }).w; + var labelHeight = theChild.boundingBox({ includeLabels: true, includeNodes: false }).h; + var labelPos = theChild.css("text-halign"); + theNode.labelWidth = labelWidth; + theNode.labelHeight = labelHeight; + theNode.labelPos = labelPos; + } + } + + // Map the layout node + this.idToLNode[theChild.data("id")] = theNode; + + if (isNaN(theNode.rect.x)) { + theNode.rect.x = 0; + } + + if (isNaN(theNode.rect.y)) { + theNode.rect.y = 0; + } + + if (children_of_children != null && children_of_children.length > 0) { + var theNewGraph; + theNewGraph = layout.getGraphManager().add(layout.newGraph(), theNode); + this.processChildrenList(theNewGraph, children_of_children, layout); + } + } +}; + +/** + * @brief : called on continuous layouts to stop them before they finish + */ +_CoSELayout.prototype.stop = function () { + this.stopped = true; + + return this; // chaining +}; + +var register = function register(cytoscape) { + // var Layout = getLayout( cytoscape ); + + cytoscape('layout', 'cose-bilkent', _CoSELayout); +}; + +// auto reg for globals +if (typeof cytoscape !== 'undefined') { + register(cytoscape); +} + +module.exports = register; + +/***/ }) +/******/ ]); +}); + +/***/ }), + +/***/ 79460: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +"use strict"; +/** + * Copyright (c) 2016-2023, The Cytoscape Consortium. + * + * Permission is hereby granted, free of charge, to any person obtaining a copy of + * this software and associated documentation files (the “Software”), to deal in + * the Software without restriction, including without limitation the rights to + * use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies + * of the Software, and to permit persons to whom the Software is furnished to do + * so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ + + + +var debounce = __webpack_require__(73336); +var Heap = __webpack_require__(24416); +var get = __webpack_require__(19448); +var set = __webpack_require__(32552); +var toPath = __webpack_require__(51768); + +function _interopDefaultLegacy (e) { return e && typeof e === 'object' && 'default' in e ? e : { 'default': e }; } + +var debounce__default = /*#__PURE__*/_interopDefaultLegacy(debounce); +var Heap__default = /*#__PURE__*/_interopDefaultLegacy(Heap); +var get__default = /*#__PURE__*/_interopDefaultLegacy(get); +var set__default = /*#__PURE__*/_interopDefaultLegacy(set); +var toPath__default = /*#__PURE__*/_interopDefaultLegacy(toPath); + +function _typeof(obj) { + "@babel/helpers - typeof"; + + return _typeof = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function (obj) { + return typeof obj; + } : function (obj) { + return obj && "function" == typeof Symbol && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; + }, _typeof(obj); +} +function _classCallCheck(instance, Constructor) { + if (!(instance instanceof Constructor)) { + throw new TypeError("Cannot call a class as a function"); + } +} +function _defineProperties(target, props) { + for (var i = 0; i < props.length; i++) { + var descriptor = props[i]; + descriptor.enumerable = descriptor.enumerable || false; + descriptor.configurable = true; + if ("value" in descriptor) descriptor.writable = true; + Object.defineProperty(target, descriptor.key, descriptor); + } +} +function _createClass(Constructor, protoProps, staticProps) { + if (protoProps) _defineProperties(Constructor.prototype, protoProps); + if (staticProps) _defineProperties(Constructor, staticProps); + Object.defineProperty(Constructor, "prototype", { + writable: false + }); + return Constructor; +} +function _defineProperty(obj, key, value) { + if (key in obj) { + Object.defineProperty(obj, key, { + value: value, + enumerable: true, + configurable: true, + writable: true + }); + } else { + obj[key] = value; + } + return obj; +} +function _slicedToArray(arr, i) { + return _arrayWithHoles(arr) || _iterableToArrayLimit(arr, i) || _unsupportedIterableToArray(arr, i) || _nonIterableRest(); +} +function _arrayWithHoles(arr) { + if (Array.isArray(arr)) return arr; +} +function _iterableToArrayLimit(arr, i) { + var _i = arr == null ? null : typeof Symbol !== "undefined" && arr[Symbol.iterator] || arr["@@iterator"]; + if (_i == null) return; + var _arr = []; + var _n = true; + var _d = false; + var _s, _e; + try { + for (_i = _i.call(arr); !(_n = (_s = _i.next()).done); _n = true) { + _arr.push(_s.value); + if (i && _arr.length === i) break; + } + } catch (err) { + _d = true; + _e = err; + } finally { + try { + if (!_n && _i["return"] != null) _i["return"](); + } finally { + if (_d) throw _e; + } + } + return _arr; +} +function _unsupportedIterableToArray(o, minLen) { + if (!o) return; + if (typeof o === "string") return _arrayLikeToArray(o, minLen); + var n = Object.prototype.toString.call(o).slice(8, -1); + if (n === "Object" && o.constructor) n = o.constructor.name; + if (n === "Map" || n === "Set") return Array.from(o); + if (n === "Arguments" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray(o, minLen); +} +function _arrayLikeToArray(arr, len) { + if (len == null || len > arr.length) len = arr.length; + for (var i = 0, arr2 = new Array(len); i < len; i++) arr2[i] = arr[i]; + return arr2; +} +function _nonIterableRest() { + throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method."); +} + +var _window = typeof window === 'undefined' ? null : window; // eslint-disable-line no-undef + +var navigator = _window ? _window.navigator : null; +_window ? _window.document : null; +var typeofstr = _typeof(''); +var typeofobj = _typeof({}); +var typeoffn = _typeof(function () {}); +var typeofhtmlele = typeof HTMLElement === "undefined" ? "undefined" : _typeof(HTMLElement); +var instanceStr = function instanceStr(obj) { + return obj && obj.instanceString && fn$6(obj.instanceString) ? obj.instanceString() : null; +}; + +var string = function string(obj) { + return obj != null && _typeof(obj) == typeofstr; +}; +var fn$6 = function fn(obj) { + return obj != null && _typeof(obj) === typeoffn; +}; +var array = function array(obj) { + return !elementOrCollection(obj) && (Array.isArray ? Array.isArray(obj) : obj != null && obj instanceof Array); +}; +var plainObject = function plainObject(obj) { + return obj != null && _typeof(obj) === typeofobj && !array(obj) && obj.constructor === Object; +}; +var object = function object(obj) { + return obj != null && _typeof(obj) === typeofobj; +}; +var number$1 = function number(obj) { + return obj != null && _typeof(obj) === _typeof(1) && !isNaN(obj); +}; +var integer = function integer(obj) { + return number$1(obj) && Math.floor(obj) === obj; +}; +var htmlElement = function htmlElement(obj) { + if ('undefined' === typeofhtmlele) { + return undefined; + } else { + return null != obj && obj instanceof HTMLElement; + } +}; +var elementOrCollection = function elementOrCollection(obj) { + return element(obj) || collection(obj); +}; +var element = function element(obj) { + return instanceStr(obj) === 'collection' && obj._private.single; +}; +var collection = function collection(obj) { + return instanceStr(obj) === 'collection' && !obj._private.single; +}; +var core = function core(obj) { + return instanceStr(obj) === 'core'; +}; +var stylesheet = function stylesheet(obj) { + return instanceStr(obj) === 'stylesheet'; +}; +var event = function event(obj) { + return instanceStr(obj) === 'event'; +}; +var emptyString = function emptyString(obj) { + if (obj === undefined || obj === null) { + // null is empty + return true; + } else if (obj === '' || obj.match(/^\s+$/)) { + return true; // empty string is empty + } + + return false; // otherwise, we don't know what we've got +}; +var domElement = function domElement(obj) { + if (typeof HTMLElement === 'undefined') { + return false; // we're not in a browser so it doesn't matter + } else { + return obj instanceof HTMLElement; + } +}; +var boundingBox = function boundingBox(obj) { + return plainObject(obj) && number$1(obj.x1) && number$1(obj.x2) && number$1(obj.y1) && number$1(obj.y2); +}; +var promise = function promise(obj) { + return object(obj) && fn$6(obj.then); +}; +var ms = function ms() { + return navigator && navigator.userAgent.match(/msie|trident|edge/i); +}; // probably a better way to detect this... + +var memoize = function memoize(fn, keyFn) { + if (!keyFn) { + keyFn = function keyFn() { + if (arguments.length === 1) { + return arguments[0]; + } else if (arguments.length === 0) { + return 'undefined'; + } + var args = []; + for (var i = 0; i < arguments.length; i++) { + args.push(arguments[i]); + } + return args.join('$'); + }; + } + var memoizedFn = function memoizedFn() { + var self = this; + var args = arguments; + var ret; + var k = keyFn.apply(self, args); + var cache = memoizedFn.cache; + if (!(ret = cache[k])) { + ret = cache[k] = fn.apply(self, args); + } + return ret; + }; + memoizedFn.cache = {}; + return memoizedFn; +}; + +var camel2dash = memoize(function (str) { + return str.replace(/([A-Z])/g, function (v) { + return '-' + v.toLowerCase(); + }); +}); +var dash2camel = memoize(function (str) { + return str.replace(/(-\w)/g, function (v) { + return v[1].toUpperCase(); + }); +}); +var prependCamel = memoize(function (prefix, str) { + return prefix + str[0].toUpperCase() + str.substring(1); +}, function (prefix, str) { + return prefix + '$' + str; +}); +var capitalize = function capitalize(str) { + if (emptyString(str)) { + return str; + } + return str.charAt(0).toUpperCase() + str.substring(1); +}; + +var number = '(?:[-+]?(?:(?:\\d+|\\d*\\.\\d+)(?:[Ee][+-]?\\d+)?))'; +var rgba = 'rgb[a]?\\((' + number + '[%]?)\\s*,\\s*(' + number + '[%]?)\\s*,\\s*(' + number + '[%]?)(?:\\s*,\\s*(' + number + '))?\\)'; +var rgbaNoBackRefs = 'rgb[a]?\\((?:' + number + '[%]?)\\s*,\\s*(?:' + number + '[%]?)\\s*,\\s*(?:' + number + '[%]?)(?:\\s*,\\s*(?:' + number + '))?\\)'; +var hsla = 'hsl[a]?\\((' + number + ')\\s*,\\s*(' + number + '[%])\\s*,\\s*(' + number + '[%])(?:\\s*,\\s*(' + number + '))?\\)'; +var hslaNoBackRefs = 'hsl[a]?\\((?:' + number + ')\\s*,\\s*(?:' + number + '[%])\\s*,\\s*(?:' + number + '[%])(?:\\s*,\\s*(?:' + number + '))?\\)'; +var hex3 = '\\#[0-9a-fA-F]{3}'; +var hex6 = '\\#[0-9a-fA-F]{6}'; + +var ascending = function ascending(a, b) { + if (a < b) { + return -1; + } else if (a > b) { + return 1; + } else { + return 0; + } +}; +var descending = function descending(a, b) { + return -1 * ascending(a, b); +}; + +var extend = Object.assign != null ? Object.assign.bind(Object) : function (tgt) { + var args = arguments; + for (var i = 1; i < args.length; i++) { + var obj = args[i]; + if (obj == null) { + continue; + } + var keys = Object.keys(obj); + for (var j = 0; j < keys.length; j++) { + var k = keys[j]; + tgt[k] = obj[k]; + } + } + return tgt; +}; + +// get [r, g, b] from #abc or #aabbcc +var hex2tuple = function hex2tuple(hex) { + if (!(hex.length === 4 || hex.length === 7) || hex[0] !== '#') { + return; + } + var shortHex = hex.length === 4; + var r, g, b; + var base = 16; + if (shortHex) { + r = parseInt(hex[1] + hex[1], base); + g = parseInt(hex[2] + hex[2], base); + b = parseInt(hex[3] + hex[3], base); + } else { + r = parseInt(hex[1] + hex[2], base); + g = parseInt(hex[3] + hex[4], base); + b = parseInt(hex[5] + hex[6], base); + } + return [r, g, b]; +}; + +// get [r, g, b, a] from hsl(0, 0, 0) or hsla(0, 0, 0, 0) +var hsl2tuple = function hsl2tuple(hsl) { + var ret; + var h, s, l, a, r, g, b; + function hue2rgb(p, q, t) { + if (t < 0) t += 1; + if (t > 1) t -= 1; + if (t < 1 / 6) return p + (q - p) * 6 * t; + if (t < 1 / 2) return q; + if (t < 2 / 3) return p + (q - p) * (2 / 3 - t) * 6; + return p; + } + var m = new RegExp('^' + hsla + '$').exec(hsl); + if (m) { + // get hue + h = parseInt(m[1]); + if (h < 0) { + h = (360 - -1 * h % 360) % 360; + } else if (h > 360) { + h = h % 360; + } + h /= 360; // normalise on [0, 1] + + s = parseFloat(m[2]); + if (s < 0 || s > 100) { + return; + } // saturation is [0, 100] + s = s / 100; // normalise on [0, 1] + + l = parseFloat(m[3]); + if (l < 0 || l > 100) { + return; + } // lightness is [0, 100] + l = l / 100; // normalise on [0, 1] + + a = m[4]; + if (a !== undefined) { + a = parseFloat(a); + if (a < 0 || a > 1) { + return; + } // alpha is [0, 1] + } + + // now, convert to rgb + // code from http://mjijackson.com/2008/02/rgb-to-hsl-and-rgb-to-hsv-color-model-conversion-algorithms-in-javascript + if (s === 0) { + r = g = b = Math.round(l * 255); // achromatic + } else { + var q = l < 0.5 ? l * (1 + s) : l + s - l * s; + var p = 2 * l - q; + r = Math.round(255 * hue2rgb(p, q, h + 1 / 3)); + g = Math.round(255 * hue2rgb(p, q, h)); + b = Math.round(255 * hue2rgb(p, q, h - 1 / 3)); + } + ret = [r, g, b, a]; + } + return ret; +}; + +// get [r, g, b, a] from rgb(0, 0, 0) or rgba(0, 0, 0, 0) +var rgb2tuple = function rgb2tuple(rgb) { + var ret; + var m = new RegExp('^' + rgba + '$').exec(rgb); + if (m) { + ret = []; + var isPct = []; + for (var i = 1; i <= 3; i++) { + var channel = m[i]; + if (channel[channel.length - 1] === '%') { + isPct[i] = true; + } + channel = parseFloat(channel); + if (isPct[i]) { + channel = channel / 100 * 255; // normalise to [0, 255] + } + + if (channel < 0 || channel > 255) { + return; + } // invalid channel value + + ret.push(Math.floor(channel)); + } + var atLeastOneIsPct = isPct[1] || isPct[2] || isPct[3]; + var allArePct = isPct[1] && isPct[2] && isPct[3]; + if (atLeastOneIsPct && !allArePct) { + return; + } // must all be percent values if one is + + var alpha = m[4]; + if (alpha !== undefined) { + alpha = parseFloat(alpha); + if (alpha < 0 || alpha > 1) { + return; + } // invalid alpha value + + ret.push(alpha); + } + } + return ret; +}; +var colorname2tuple = function colorname2tuple(color) { + return colors[color.toLowerCase()]; +}; +var color2tuple = function color2tuple(color) { + return (array(color) ? color : null) || colorname2tuple(color) || hex2tuple(color) || rgb2tuple(color) || hsl2tuple(color); +}; +var colors = { + // special colour names + transparent: [0, 0, 0, 0], + // NB alpha === 0 + + // regular colours + aliceblue: [240, 248, 255], + antiquewhite: [250, 235, 215], + aqua: [0, 255, 255], + aquamarine: [127, 255, 212], + azure: [240, 255, 255], + beige: [245, 245, 220], + bisque: [255, 228, 196], + black: [0, 0, 0], + blanchedalmond: [255, 235, 205], + blue: [0, 0, 255], + blueviolet: [138, 43, 226], + brown: [165, 42, 42], + burlywood: [222, 184, 135], + cadetblue: [95, 158, 160], + chartreuse: [127, 255, 0], + chocolate: [210, 105, 30], + coral: [255, 127, 80], + cornflowerblue: [100, 149, 237], + cornsilk: [255, 248, 220], + crimson: [220, 20, 60], + cyan: [0, 255, 255], + darkblue: [0, 0, 139], + darkcyan: [0, 139, 139], + darkgoldenrod: [184, 134, 11], + darkgray: [169, 169, 169], + darkgreen: [0, 100, 0], + darkgrey: [169, 169, 169], + darkkhaki: [189, 183, 107], + darkmagenta: [139, 0, 139], + darkolivegreen: [85, 107, 47], + darkorange: [255, 140, 0], + darkorchid: [153, 50, 204], + darkred: [139, 0, 0], + darksalmon: [233, 150, 122], + darkseagreen: [143, 188, 143], + darkslateblue: [72, 61, 139], + darkslategray: [47, 79, 79], + darkslategrey: [47, 79, 79], + darkturquoise: [0, 206, 209], + darkviolet: [148, 0, 211], + deeppink: [255, 20, 147], + deepskyblue: [0, 191, 255], + dimgray: [105, 105, 105], + dimgrey: [105, 105, 105], + dodgerblue: [30, 144, 255], + firebrick: [178, 34, 34], + floralwhite: [255, 250, 240], + forestgreen: [34, 139, 34], + fuchsia: [255, 0, 255], + gainsboro: [220, 220, 220], + ghostwhite: [248, 248, 255], + gold: [255, 215, 0], + goldenrod: [218, 165, 32], + gray: [128, 128, 128], + grey: [128, 128, 128], + green: [0, 128, 0], + greenyellow: [173, 255, 47], + honeydew: [240, 255, 240], + hotpink: [255, 105, 180], + indianred: [205, 92, 92], + indigo: [75, 0, 130], + ivory: [255, 255, 240], + khaki: [240, 230, 140], + lavender: [230, 230, 250], + lavenderblush: [255, 240, 245], + lawngreen: [124, 252, 0], + lemonchiffon: [255, 250, 205], + lightblue: [173, 216, 230], + lightcoral: [240, 128, 128], + lightcyan: [224, 255, 255], + lightgoldenrodyellow: [250, 250, 210], + lightgray: [211, 211, 211], + lightgreen: [144, 238, 144], + lightgrey: [211, 211, 211], + lightpink: [255, 182, 193], + lightsalmon: [255, 160, 122], + lightseagreen: [32, 178, 170], + lightskyblue: [135, 206, 250], + lightslategray: [119, 136, 153], + lightslategrey: [119, 136, 153], + lightsteelblue: [176, 196, 222], + lightyellow: [255, 255, 224], + lime: [0, 255, 0], + limegreen: [50, 205, 50], + linen: [250, 240, 230], + magenta: [255, 0, 255], + maroon: [128, 0, 0], + mediumaquamarine: [102, 205, 170], + mediumblue: [0, 0, 205], + mediumorchid: [186, 85, 211], + mediumpurple: [147, 112, 219], + mediumseagreen: [60, 179, 113], + mediumslateblue: [123, 104, 238], + mediumspringgreen: [0, 250, 154], + mediumturquoise: [72, 209, 204], + mediumvioletred: [199, 21, 133], + midnightblue: [25, 25, 112], + mintcream: [245, 255, 250], + mistyrose: [255, 228, 225], + moccasin: [255, 228, 181], + navajowhite: [255, 222, 173], + navy: [0, 0, 128], + oldlace: [253, 245, 230], + olive: [128, 128, 0], + olivedrab: [107, 142, 35], + orange: [255, 165, 0], + orangered: [255, 69, 0], + orchid: [218, 112, 214], + palegoldenrod: [238, 232, 170], + palegreen: [152, 251, 152], + paleturquoise: [175, 238, 238], + palevioletred: [219, 112, 147], + papayawhip: [255, 239, 213], + peachpuff: [255, 218, 185], + peru: [205, 133, 63], + pink: [255, 192, 203], + plum: [221, 160, 221], + powderblue: [176, 224, 230], + purple: [128, 0, 128], + red: [255, 0, 0], + rosybrown: [188, 143, 143], + royalblue: [65, 105, 225], + saddlebrown: [139, 69, 19], + salmon: [250, 128, 114], + sandybrown: [244, 164, 96], + seagreen: [46, 139, 87], + seashell: [255, 245, 238], + sienna: [160, 82, 45], + silver: [192, 192, 192], + skyblue: [135, 206, 235], + slateblue: [106, 90, 205], + slategray: [112, 128, 144], + slategrey: [112, 128, 144], + snow: [255, 250, 250], + springgreen: [0, 255, 127], + steelblue: [70, 130, 180], + tan: [210, 180, 140], + teal: [0, 128, 128], + thistle: [216, 191, 216], + tomato: [255, 99, 71], + turquoise: [64, 224, 208], + violet: [238, 130, 238], + wheat: [245, 222, 179], + white: [255, 255, 255], + whitesmoke: [245, 245, 245], + yellow: [255, 255, 0], + yellowgreen: [154, 205, 50] +}; + +// sets the value in a map (map may not be built) +var setMap = function setMap(options) { + var obj = options.map; + var keys = options.keys; + var l = keys.length; + for (var i = 0; i < l; i++) { + var key = keys[i]; + if (plainObject(key)) { + throw Error('Tried to set map with object key'); + } + if (i < keys.length - 1) { + // extend the map if necessary + if (obj[key] == null) { + obj[key] = {}; + } + obj = obj[key]; + } else { + // set the value + obj[key] = options.value; + } + } +}; + +// gets the value in a map even if it's not built in places +var getMap = function getMap(options) { + var obj = options.map; + var keys = options.keys; + var l = keys.length; + for (var i = 0; i < l; i++) { + var key = keys[i]; + if (plainObject(key)) { + throw Error('Tried to get map with object key'); + } + obj = obj[key]; + if (obj == null) { + return obj; + } + } + return obj; +}; + +var performance = _window ? _window.performance : null; +var pnow = performance && performance.now ? function () { + return performance.now(); +} : function () { + return Date.now(); +}; +var raf = function () { + if (_window) { + if (_window.requestAnimationFrame) { + return function (fn) { + _window.requestAnimationFrame(fn); + }; + } else if (_window.mozRequestAnimationFrame) { + return function (fn) { + _window.mozRequestAnimationFrame(fn); + }; + } else if (_window.webkitRequestAnimationFrame) { + return function (fn) { + _window.webkitRequestAnimationFrame(fn); + }; + } else if (_window.msRequestAnimationFrame) { + return function (fn) { + _window.msRequestAnimationFrame(fn); + }; + } + } + return function (fn) { + if (fn) { + setTimeout(function () { + fn(pnow()); + }, 1000 / 60); + } + }; +}(); +var requestAnimationFrame = function requestAnimationFrame(fn) { + return raf(fn); +}; +var performanceNow = pnow; + +var DEFAULT_HASH_SEED = 9261; +var K = 65599; // 37 also works pretty well +var DEFAULT_HASH_SEED_ALT = 5381; +var hashIterableInts = function hashIterableInts(iterator) { + var seed = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : DEFAULT_HASH_SEED; + // sdbm/string-hash + var hash = seed; + var entry; + for (;;) { + entry = iterator.next(); + if (entry.done) { + break; + } + hash = hash * K + entry.value | 0; + } + return hash; +}; +var hashInt = function hashInt(num) { + var seed = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : DEFAULT_HASH_SEED; + // sdbm/string-hash + return seed * K + num | 0; +}; +var hashIntAlt = function hashIntAlt(num) { + var seed = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : DEFAULT_HASH_SEED_ALT; + // djb2/string-hash + return (seed << 5) + seed + num | 0; +}; +var combineHashes = function combineHashes(hash1, hash2) { + return hash1 * 0x200000 + hash2; +}; +var combineHashesArray = function combineHashesArray(hashes) { + return hashes[0] * 0x200000 + hashes[1]; +}; +var hashArrays = function hashArrays(hashes1, hashes2) { + return [hashInt(hashes1[0], hashes2[0]), hashIntAlt(hashes1[1], hashes2[1])]; +}; +var hashIntsArray = function hashIntsArray(ints, seed) { + var entry = { + value: 0, + done: false + }; + var i = 0; + var length = ints.length; + var iterator = { + next: function next() { + if (i < length) { + entry.value = ints[i++]; + } else { + entry.done = true; + } + return entry; + } + }; + return hashIterableInts(iterator, seed); +}; +var hashString = function hashString(str, seed) { + var entry = { + value: 0, + done: false + }; + var i = 0; + var length = str.length; + var iterator = { + next: function next() { + if (i < length) { + entry.value = str.charCodeAt(i++); + } else { + entry.done = true; + } + return entry; + } + }; + return hashIterableInts(iterator, seed); +}; +var hashStrings = function hashStrings() { + return hashStringsArray(arguments); +}; +var hashStringsArray = function hashStringsArray(strs) { + var hash; + for (var i = 0; i < strs.length; i++) { + var str = strs[i]; + if (i === 0) { + hash = hashString(str); + } else { + hash = hashString(str, hash); + } + } + return hash; +}; + +/*global console */ +var warningsEnabled = true; +var warnSupported = console.warn != null; // eslint-disable-line no-console +var traceSupported = console.trace != null; // eslint-disable-line no-console + +var MAX_INT$1 = Number.MAX_SAFE_INTEGER || 9007199254740991; +var trueify = function trueify() { + return true; +}; +var falsify = function falsify() { + return false; +}; +var zeroify = function zeroify() { + return 0; +}; +var noop$1 = function noop() {}; +var error = function error(msg) { + throw new Error(msg); +}; +var warnings = function warnings(enabled) { + if (enabled !== undefined) { + warningsEnabled = !!enabled; + } else { + return warningsEnabled; + } +}; +var warn = function warn(msg) { + /* eslint-disable no-console */ + if (!warnings()) { + return; + } + if (warnSupported) { + console.warn(msg); + } else { + console.log(msg); + if (traceSupported) { + console.trace(); + } + } +}; /* eslint-enable */ + +var clone = function clone(obj) { + return extend({}, obj); +}; + +// gets a shallow copy of the argument +var copy = function copy(obj) { + if (obj == null) { + return obj; + } + if (array(obj)) { + return obj.slice(); + } else if (plainObject(obj)) { + return clone(obj); + } else { + return obj; + } +}; +var copyArray = function copyArray(arr) { + return arr.slice(); +}; +var uuid = function uuid(a, b /* placeholders */) { + for ( + // loop :) + b = a = ''; + // b - result , a - numeric letiable + a++ < 36; + // + b += a * 51 & 52 // if "a" is not 9 or 14 or 19 or 24 + ? + // return a random number or 4 + (a ^ 15 // if "a" is not 15 + ? + // generate a random number from 0 to 15 + 8 ^ Math.random() * (a ^ 20 ? 16 : 4) // unless "a" is 20, in which case a random number from 8 to 11 + : 4 // otherwise 4 + ).toString(16) : '-' // in other cases (if "a" is 9,14,19,24) insert "-" + ) { + } + return b; +}; +var _staticEmptyObject = {}; +var staticEmptyObject = function staticEmptyObject() { + return _staticEmptyObject; +}; +var defaults$g = function defaults(_defaults) { + var keys = Object.keys(_defaults); + return function (opts) { + var filledOpts = {}; + for (var i = 0; i < keys.length; i++) { + var key = keys[i]; + var optVal = opts == null ? undefined : opts[key]; + filledOpts[key] = optVal === undefined ? _defaults[key] : optVal; + } + return filledOpts; + }; +}; +var removeFromArray = function removeFromArray(arr, ele, oneCopy) { + for (var i = arr.length - 1; i >= 0; i--) { + if (arr[i] === ele) { + arr.splice(i, 1); + if (oneCopy) { + break; + } + } + } +}; +var clearArray = function clearArray(arr) { + arr.splice(0, arr.length); +}; +var push = function push(arr, otherArr) { + for (var i = 0; i < otherArr.length; i++) { + var el = otherArr[i]; + arr.push(el); + } +}; +var getPrefixedProperty = function getPrefixedProperty(obj, propName, prefix) { + if (prefix) { + propName = prependCamel(prefix, propName); // e.g. (labelWidth, source) => sourceLabelWidth + } + + return obj[propName]; +}; +var setPrefixedProperty = function setPrefixedProperty(obj, propName, prefix, value) { + if (prefix) { + propName = prependCamel(prefix, propName); // e.g. (labelWidth, source) => sourceLabelWidth + } + + obj[propName] = value; +}; + +/* global Map */ +var ObjectMap = /*#__PURE__*/function () { + function ObjectMap() { + _classCallCheck(this, ObjectMap); + this._obj = {}; + } + _createClass(ObjectMap, [{ + key: "set", + value: function set(key, val) { + this._obj[key] = val; + return this; + } + }, { + key: "delete", + value: function _delete(key) { + this._obj[key] = undefined; + return this; + } + }, { + key: "clear", + value: function clear() { + this._obj = {}; + } + }, { + key: "has", + value: function has(key) { + return this._obj[key] !== undefined; + } + }, { + key: "get", + value: function get(key) { + return this._obj[key]; + } + }]); + return ObjectMap; +}(); +var Map$1 = typeof Map !== 'undefined' ? Map : ObjectMap; + +/* global Set */ + +var undef = "undefined" ; +var ObjectSet = /*#__PURE__*/function () { + function ObjectSet(arrayOrObjectSet) { + _classCallCheck(this, ObjectSet); + this._obj = Object.create(null); + this.size = 0; + if (arrayOrObjectSet != null) { + var arr; + if (arrayOrObjectSet.instanceString != null && arrayOrObjectSet.instanceString() === this.instanceString()) { + arr = arrayOrObjectSet.toArray(); + } else { + arr = arrayOrObjectSet; + } + for (var i = 0; i < arr.length; i++) { + this.add(arr[i]); + } + } + } + _createClass(ObjectSet, [{ + key: "instanceString", + value: function instanceString() { + return 'set'; + } + }, { + key: "add", + value: function add(val) { + var o = this._obj; + if (o[val] !== 1) { + o[val] = 1; + this.size++; + } + } + }, { + key: "delete", + value: function _delete(val) { + var o = this._obj; + if (o[val] === 1) { + o[val] = 0; + this.size--; + } + } + }, { + key: "clear", + value: function clear() { + this._obj = Object.create(null); + } + }, { + key: "has", + value: function has(val) { + return this._obj[val] === 1; + } + }, { + key: "toArray", + value: function toArray() { + var _this = this; + return Object.keys(this._obj).filter(function (key) { + return _this.has(key); + }); + } + }, { + key: "forEach", + value: function forEach(callback, thisArg) { + return this.toArray().forEach(callback, thisArg); + } + }]); + return ObjectSet; +}(); +var Set$1 = (typeof Set === "undefined" ? "undefined" : _typeof(Set)) !== undef ? Set : ObjectSet; + +// represents a node or an edge +var Element = function Element(cy, params) { + var restore = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : true; + if (cy === undefined || params === undefined || !core(cy)) { + error('An element must have a core reference and parameters set'); + return; + } + var group = params.group; + + // try to automatically infer the group if unspecified + if (group == null) { + if (params.data && params.data.source != null && params.data.target != null) { + group = 'edges'; + } else { + group = 'nodes'; + } + } + + // validate group + if (group !== 'nodes' && group !== 'edges') { + error('An element must be of type `nodes` or `edges`; you specified `' + group + '`'); + return; + } + + // make the element array-like, just like a collection + this.length = 1; + this[0] = this; + + // NOTE: when something is added here, add also to ele.json() + var _p = this._private = { + cy: cy, + single: true, + // indicates this is an element + data: params.data || {}, + // data object + position: params.position || { + x: 0, + y: 0 + }, + // (x, y) position pair + autoWidth: undefined, + // width and height of nodes calculated by the renderer when set to special 'auto' value + autoHeight: undefined, + autoPadding: undefined, + compoundBoundsClean: false, + // whether the compound dimensions need to be recalculated the next time dimensions are read + listeners: [], + // array of bound listeners + group: group, + // string; 'nodes' or 'edges' + style: {}, + // properties as set by the style + rstyle: {}, + // properties for style sent from the renderer to the core + styleCxts: [], + // applied style contexts from the styler + styleKeys: {}, + // per-group keys of style property values + removed: true, + // whether it's inside the vis; true if removed (set true here since we call restore) + selected: params.selected ? true : false, + // whether it's selected + selectable: params.selectable === undefined ? true : params.selectable ? true : false, + // whether it's selectable + locked: params.locked ? true : false, + // whether the element is locked (cannot be moved) + grabbed: false, + // whether the element is grabbed by the mouse; renderer sets this privately + grabbable: params.grabbable === undefined ? true : params.grabbable ? true : false, + // whether the element can be grabbed + pannable: params.pannable === undefined ? group === 'edges' ? true : false : params.pannable ? true : false, + // whether the element has passthrough panning enabled + active: false, + // whether the element is active from user interaction + classes: new Set$1(), + // map ( className => true ) + animation: { + // object for currently-running animations + current: [], + queue: [] + }, + rscratch: {}, + // object in which the renderer can store information + scratch: params.scratch || {}, + // scratch objects + edges: [], + // array of connected edges + children: [], + // array of children + parent: params.parent && params.parent.isNode() ? params.parent : null, + // parent ref + traversalCache: {}, + // cache of output of traversal functions + backgrounding: false, + // whether background images are loading + bbCache: null, + // cache of the current bounding box + bbCacheShift: { + x: 0, + y: 0 + }, + // shift applied to cached bb to be applied on next get + bodyBounds: null, + // bounds cache of element body, w/o overlay + overlayBounds: null, + // bounds cache of element body, including overlay + labelBounds: { + // bounds cache of labels + all: null, + source: null, + target: null, + main: null + }, + arrowBounds: { + // bounds cache of edge arrows + source: null, + target: null, + 'mid-source': null, + 'mid-target': null + } + }; + if (_p.position.x == null) { + _p.position.x = 0; + } + if (_p.position.y == null) { + _p.position.y = 0; + } + + // renderedPosition overrides if specified + if (params.renderedPosition) { + var rpos = params.renderedPosition; + var pan = cy.pan(); + var zoom = cy.zoom(); + _p.position = { + x: (rpos.x - pan.x) / zoom, + y: (rpos.y - pan.y) / zoom + }; + } + var classes = []; + if (array(params.classes)) { + classes = params.classes; + } else if (string(params.classes)) { + classes = params.classes.split(/\s+/); + } + for (var i = 0, l = classes.length; i < l; i++) { + var cls = classes[i]; + if (!cls || cls === '') { + continue; + } + _p.classes.add(cls); + } + this.createEmitter(); + var bypass = params.style || params.css; + if (bypass) { + warn('Setting a `style` bypass at element creation should be done only when absolutely necessary. Try to use the stylesheet instead.'); + this.style(bypass); + } + if (restore === undefined || restore) { + this.restore(); + } +}; + +var defineSearch = function defineSearch(params) { + params = { + bfs: params.bfs || !params.dfs, + dfs: params.dfs || !params.bfs + }; + + // from pseudocode on wikipedia + return function searchFn(roots, fn, directed) { + var options; + if (plainObject(roots) && !elementOrCollection(roots)) { + options = roots; + roots = options.roots || options.root; + fn = options.visit; + directed = options.directed; + } + directed = arguments.length === 2 && !fn$6(fn) ? fn : directed; + fn = fn$6(fn) ? fn : function () {}; + var cy = this._private.cy; + var v = roots = string(roots) ? this.filter(roots) : roots; + var Q = []; + var connectedNodes = []; + var connectedBy = {}; + var id2depth = {}; + var V = {}; + var j = 0; + var found; + var _this$byGroup = this.byGroup(), + nodes = _this$byGroup.nodes, + edges = _this$byGroup.edges; + + // enqueue v + for (var i = 0; i < v.length; i++) { + var vi = v[i]; + var viId = vi.id(); + if (vi.isNode()) { + Q.unshift(vi); + if (params.bfs) { + V[viId] = true; + connectedNodes.push(vi); + } + id2depth[viId] = 0; + } + } + var _loop = function _loop() { + var v = params.bfs ? Q.shift() : Q.pop(); + var vId = v.id(); + if (params.dfs) { + if (V[vId]) { + return "continue"; + } + V[vId] = true; + connectedNodes.push(v); + } + var depth = id2depth[vId]; + var prevEdge = connectedBy[vId]; + var src = prevEdge != null ? prevEdge.source() : null; + var tgt = prevEdge != null ? prevEdge.target() : null; + var prevNode = prevEdge == null ? undefined : v.same(src) ? tgt[0] : src[0]; + var ret = void 0; + ret = fn(v, prevEdge, prevNode, j++, depth); + if (ret === true) { + found = v; + return "break"; + } + if (ret === false) { + return "break"; + } + var vwEdges = v.connectedEdges().filter(function (e) { + return (!directed || e.source().same(v)) && edges.has(e); + }); + for (var _i2 = 0; _i2 < vwEdges.length; _i2++) { + var e = vwEdges[_i2]; + var w = e.connectedNodes().filter(function (n) { + return !n.same(v) && nodes.has(n); + }); + var wId = w.id(); + if (w.length !== 0 && !V[wId]) { + w = w[0]; + Q.push(w); + if (params.bfs) { + V[wId] = true; + connectedNodes.push(w); + } + connectedBy[wId] = e; + id2depth[wId] = id2depth[vId] + 1; + } + } + }; + while (Q.length !== 0) { + var _ret = _loop(); + if (_ret === "continue") continue; + if (_ret === "break") break; + } + var connectedEles = cy.collection(); + for (var _i = 0; _i < connectedNodes.length; _i++) { + var node = connectedNodes[_i]; + var edge = connectedBy[node.id()]; + if (edge != null) { + connectedEles.push(edge); + } + connectedEles.push(node); + } + return { + path: cy.collection(connectedEles), + found: cy.collection(found) + }; + }; +}; + +// search, spanning trees, etc +var elesfn$v = { + breadthFirstSearch: defineSearch({ + bfs: true + }), + depthFirstSearch: defineSearch({ + dfs: true + }) +}; + +// nice, short mathematical alias +elesfn$v.bfs = elesfn$v.breadthFirstSearch; +elesfn$v.dfs = elesfn$v.depthFirstSearch; + +var dijkstraDefaults = defaults$g({ + root: null, + weight: function weight(edge) { + return 1; + }, + directed: false +}); +var elesfn$u = { + dijkstra: function dijkstra(options) { + if (!plainObject(options)) { + var args = arguments; + options = { + root: args[0], + weight: args[1], + directed: args[2] + }; + } + var _dijkstraDefaults = dijkstraDefaults(options), + root = _dijkstraDefaults.root, + weight = _dijkstraDefaults.weight, + directed = _dijkstraDefaults.directed; + var eles = this; + var weightFn = weight; + var source = string(root) ? this.filter(root)[0] : root[0]; + var dist = {}; + var prev = {}; + var knownDist = {}; + var _this$byGroup = this.byGroup(), + nodes = _this$byGroup.nodes, + edges = _this$byGroup.edges; + edges.unmergeBy(function (ele) { + return ele.isLoop(); + }); + var getDist = function getDist(node) { + return dist[node.id()]; + }; + var setDist = function setDist(node, d) { + dist[node.id()] = d; + Q.updateItem(node); + }; + var Q = new Heap__default["default"](function (a, b) { + return getDist(a) - getDist(b); + }); + for (var i = 0; i < nodes.length; i++) { + var node = nodes[i]; + dist[node.id()] = node.same(source) ? 0 : Infinity; + Q.push(node); + } + var distBetween = function distBetween(u, v) { + var uvs = (directed ? u.edgesTo(v) : u.edgesWith(v)).intersect(edges); + var smallestDistance = Infinity; + var smallestEdge; + for (var _i = 0; _i < uvs.length; _i++) { + var edge = uvs[_i]; + var _weight = weightFn(edge); + if (_weight < smallestDistance || !smallestEdge) { + smallestDistance = _weight; + smallestEdge = edge; + } + } + return { + edge: smallestEdge, + dist: smallestDistance + }; + }; + while (Q.size() > 0) { + var u = Q.pop(); + var smalletsDist = getDist(u); + var uid = u.id(); + knownDist[uid] = smalletsDist; + if (smalletsDist === Infinity) { + continue; + } + var neighbors = u.neighborhood().intersect(nodes); + for (var _i2 = 0; _i2 < neighbors.length; _i2++) { + var v = neighbors[_i2]; + var vid = v.id(); + var vDist = distBetween(u, v); + var alt = smalletsDist + vDist.dist; + if (alt < getDist(v)) { + setDist(v, alt); + prev[vid] = { + node: u, + edge: vDist.edge + }; + } + } // for + } // while + + return { + distanceTo: function distanceTo(node) { + var target = string(node) ? nodes.filter(node)[0] : node[0]; + return knownDist[target.id()]; + }, + pathTo: function pathTo(node) { + var target = string(node) ? nodes.filter(node)[0] : node[0]; + var S = []; + var u = target; + var uid = u.id(); + if (target.length > 0) { + S.unshift(target); + while (prev[uid]) { + var p = prev[uid]; + S.unshift(p.edge); + S.unshift(p.node); + u = p.node; + uid = u.id(); + } + } + return eles.spawn(S); + } + }; + } +}; + +var elesfn$t = { + // kruskal's algorithm (finds min spanning tree, assuming undirected graph) + // implemented from pseudocode from wikipedia + kruskal: function kruskal(weightFn) { + weightFn = weightFn || function (edge) { + return 1; + }; + var _this$byGroup = this.byGroup(), + nodes = _this$byGroup.nodes, + edges = _this$byGroup.edges; + var numNodes = nodes.length; + var forest = new Array(numNodes); + var A = nodes; // assumes byGroup() creates new collections that can be safely mutated + + var findSetIndex = function findSetIndex(ele) { + for (var i = 0; i < forest.length; i++) { + var eles = forest[i]; + if (eles.has(ele)) { + return i; + } + } + }; + + // start with one forest per node + for (var i = 0; i < numNodes; i++) { + forest[i] = this.spawn(nodes[i]); + } + var S = edges.sort(function (a, b) { + return weightFn(a) - weightFn(b); + }); + for (var _i = 0; _i < S.length; _i++) { + var edge = S[_i]; + var u = edge.source()[0]; + var v = edge.target()[0]; + var setUIndex = findSetIndex(u); + var setVIndex = findSetIndex(v); + var setU = forest[setUIndex]; + var setV = forest[setVIndex]; + if (setUIndex !== setVIndex) { + A.merge(edge); + + // combine forests for u and v + setU.merge(setV); + forest.splice(setVIndex, 1); + } + } + return A; + } +}; + +var aStarDefaults = defaults$g({ + root: null, + goal: null, + weight: function weight(edge) { + return 1; + }, + heuristic: function heuristic(edge) { + return 0; + }, + directed: false +}); +var elesfn$s = { + // Implemented from pseudocode from wikipedia + aStar: function aStar(options) { + var cy = this.cy(); + var _aStarDefaults = aStarDefaults(options), + root = _aStarDefaults.root, + goal = _aStarDefaults.goal, + heuristic = _aStarDefaults.heuristic, + directed = _aStarDefaults.directed, + weight = _aStarDefaults.weight; + root = cy.collection(root)[0]; + goal = cy.collection(goal)[0]; + var sid = root.id(); + var tid = goal.id(); + var gScore = {}; + var fScore = {}; + var closedSetIds = {}; + var openSet = new Heap__default["default"](function (a, b) { + return fScore[a.id()] - fScore[b.id()]; + }); + var openSetIds = new Set$1(); + var cameFrom = {}; + var cameFromEdge = {}; + var addToOpenSet = function addToOpenSet(ele, id) { + openSet.push(ele); + openSetIds.add(id); + }; + var cMin, cMinId; + var popFromOpenSet = function popFromOpenSet() { + cMin = openSet.pop(); + cMinId = cMin.id(); + openSetIds["delete"](cMinId); + }; + var isInOpenSet = function isInOpenSet(id) { + return openSetIds.has(id); + }; + addToOpenSet(root, sid); + gScore[sid] = 0; + fScore[sid] = heuristic(root); + + // Counter + var steps = 0; + + // Main loop + while (openSet.size() > 0) { + popFromOpenSet(); + steps++; + + // If we've found our goal, then we are done + if (cMinId === tid) { + var path = []; + var pathNode = goal; + var pathNodeId = tid; + var pathEdge = cameFromEdge[pathNodeId]; + for (;;) { + path.unshift(pathNode); + if (pathEdge != null) { + path.unshift(pathEdge); + } + pathNode = cameFrom[pathNodeId]; + if (pathNode == null) { + break; + } + pathNodeId = pathNode.id(); + pathEdge = cameFromEdge[pathNodeId]; + } + return { + found: true, + distance: gScore[cMinId], + path: this.spawn(path), + steps: steps + }; + } + + // Add cMin to processed nodes + closedSetIds[cMinId] = true; + + // Update scores for neighbors of cMin + // Take into account if graph is directed or not + var vwEdges = cMin._private.edges; + for (var i = 0; i < vwEdges.length; i++) { + var e = vwEdges[i]; + + // edge must be in set of calling eles + if (!this.hasElementWithId(e.id())) { + continue; + } + + // cMin must be the source of edge if directed + if (directed && e.data('source') !== cMinId) { + continue; + } + var wSrc = e.source(); + var wTgt = e.target(); + var w = wSrc.id() !== cMinId ? wSrc : wTgt; + var wid = w.id(); + + // node must be in set of calling eles + if (!this.hasElementWithId(wid)) { + continue; + } + + // if node is in closedSet, ignore it + if (closedSetIds[wid]) { + continue; + } + + // New tentative score for node w + var tempScore = gScore[cMinId] + weight(e); + + // Update gScore for node w if: + // w not present in openSet + // OR + // tentative gScore is less than previous value + + // w not in openSet + if (!isInOpenSet(wid)) { + gScore[wid] = tempScore; + fScore[wid] = tempScore + heuristic(w); + addToOpenSet(w, wid); + cameFrom[wid] = cMin; + cameFromEdge[wid] = e; + continue; + } + + // w already in openSet, but with greater gScore + if (tempScore < gScore[wid]) { + gScore[wid] = tempScore; + fScore[wid] = tempScore + heuristic(w); + cameFrom[wid] = cMin; + cameFromEdge[wid] = e; + } + } // End of neighbors update + } // End of main loop + + // If we've reached here, then we've not reached our goal + return { + found: false, + distance: undefined, + path: undefined, + steps: steps + }; + } +}; // elesfn + +var floydWarshallDefaults = defaults$g({ + weight: function weight(edge) { + return 1; + }, + directed: false +}); +var elesfn$r = { + // Implemented from pseudocode from wikipedia + floydWarshall: function floydWarshall(options) { + var cy = this.cy(); + var _floydWarshallDefault = floydWarshallDefaults(options), + weight = _floydWarshallDefault.weight, + directed = _floydWarshallDefault.directed; + var weightFn = weight; + var _this$byGroup = this.byGroup(), + nodes = _this$byGroup.nodes, + edges = _this$byGroup.edges; + var N = nodes.length; + var Nsq = N * N; + var indexOf = function indexOf(node) { + return nodes.indexOf(node); + }; + var atIndex = function atIndex(i) { + return nodes[i]; + }; + + // Initialize distance matrix + var dist = new Array(Nsq); + for (var n = 0; n < Nsq; n++) { + var j = n % N; + var i = (n - j) / N; + if (i === j) { + dist[n] = 0; + } else { + dist[n] = Infinity; + } + } + + // Initialize matrix used for path reconstruction + // Initialize distance matrix + var next = new Array(Nsq); + var edgeNext = new Array(Nsq); + + // Process edges + for (var _i = 0; _i < edges.length; _i++) { + var edge = edges[_i]; + var src = edge.source()[0]; + var tgt = edge.target()[0]; + if (src === tgt) { + continue; + } // exclude loops + + var s = indexOf(src); + var t = indexOf(tgt); + var st = s * N + t; // source to target index + var _weight = weightFn(edge); + + // Check if already process another edge between same 2 nodes + if (dist[st] > _weight) { + dist[st] = _weight; + next[st] = t; + edgeNext[st] = edge; + } + + // If undirected graph, process 'reversed' edge + if (!directed) { + var ts = t * N + s; // target to source index + + if (!directed && dist[ts] > _weight) { + dist[ts] = _weight; + next[ts] = s; + edgeNext[ts] = edge; + } + } + } + + // Main loop + for (var k = 0; k < N; k++) { + for (var _i2 = 0; _i2 < N; _i2++) { + var ik = _i2 * N + k; + for (var _j = 0; _j < N; _j++) { + var ij = _i2 * N + _j; + var kj = k * N + _j; + if (dist[ik] + dist[kj] < dist[ij]) { + dist[ij] = dist[ik] + dist[kj]; + next[ij] = next[ik]; + } + } + } + } + var getArgEle = function getArgEle(ele) { + return (string(ele) ? cy.filter(ele) : ele)[0]; + }; + var indexOfArgEle = function indexOfArgEle(ele) { + return indexOf(getArgEle(ele)); + }; + var res = { + distance: function distance(from, to) { + var i = indexOfArgEle(from); + var j = indexOfArgEle(to); + return dist[i * N + j]; + }, + path: function path(from, to) { + var i = indexOfArgEle(from); + var j = indexOfArgEle(to); + var fromNode = atIndex(i); + if (i === j) { + return fromNode.collection(); + } + if (next[i * N + j] == null) { + return cy.collection(); + } + var path = cy.collection(); + var prev = i; + var edge; + path.merge(fromNode); + while (i !== j) { + prev = i; + i = next[i * N + j]; + edge = edgeNext[prev * N + i]; + path.merge(edge); + path.merge(atIndex(i)); + } + return path; + } + }; + return res; + } // floydWarshall +}; // elesfn + +var bellmanFordDefaults = defaults$g({ + weight: function weight(edge) { + return 1; + }, + directed: false, + root: null +}); +var elesfn$q = { + // Implemented from pseudocode from wikipedia + bellmanFord: function bellmanFord(options) { + var _this = this; + var _bellmanFordDefaults = bellmanFordDefaults(options), + weight = _bellmanFordDefaults.weight, + directed = _bellmanFordDefaults.directed, + root = _bellmanFordDefaults.root; + var weightFn = weight; + var eles = this; + var cy = this.cy(); + var _this$byGroup = this.byGroup(), + edges = _this$byGroup.edges, + nodes = _this$byGroup.nodes; + var numNodes = nodes.length; + var infoMap = new Map$1(); + var hasNegativeWeightCycle = false; + var negativeWeightCycles = []; + root = cy.collection(root)[0]; // in case selector passed + + edges.unmergeBy(function (edge) { + return edge.isLoop(); + }); + var numEdges = edges.length; + var getInfo = function getInfo(node) { + var obj = infoMap.get(node.id()); + if (!obj) { + obj = {}; + infoMap.set(node.id(), obj); + } + return obj; + }; + var getNodeFromTo = function getNodeFromTo(to) { + return (string(to) ? cy.$(to) : to)[0]; + }; + var distanceTo = function distanceTo(to) { + return getInfo(getNodeFromTo(to)).dist; + }; + var pathTo = function pathTo(to) { + var thisStart = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : root; + var end = getNodeFromTo(to); + var path = []; + var node = end; + for (;;) { + if (node == null) { + return _this.spawn(); + } + var _getInfo = getInfo(node), + edge = _getInfo.edge, + pred = _getInfo.pred; + path.unshift(node[0]); + if (node.same(thisStart) && path.length > 0) { + break; + } + if (edge != null) { + path.unshift(edge); + } + node = pred; + } + return eles.spawn(path); + }; + + // Initializations { dist, pred, edge } + for (var i = 0; i < numNodes; i++) { + var node = nodes[i]; + var info = getInfo(node); + if (node.same(root)) { + info.dist = 0; + } else { + info.dist = Infinity; + } + info.pred = null; + info.edge = null; + } + + // Edges relaxation + var replacedEdge = false; + var checkForEdgeReplacement = function checkForEdgeReplacement(node1, node2, edge, info1, info2, weight) { + var dist = info1.dist + weight; + if (dist < info2.dist && !edge.same(info1.edge)) { + info2.dist = dist; + info2.pred = node1; + info2.edge = edge; + replacedEdge = true; + } + }; + for (var _i = 1; _i < numNodes; _i++) { + replacedEdge = false; + for (var e = 0; e < numEdges; e++) { + var edge = edges[e]; + var src = edge.source(); + var tgt = edge.target(); + var _weight = weightFn(edge); + var srcInfo = getInfo(src); + var tgtInfo = getInfo(tgt); + checkForEdgeReplacement(src, tgt, edge, srcInfo, tgtInfo, _weight); + + // If undirected graph, we need to take into account the 'reverse' edge + if (!directed) { + checkForEdgeReplacement(tgt, src, edge, tgtInfo, srcInfo, _weight); + } + } + if (!replacedEdge) { + break; + } + } + if (replacedEdge) { + // Check for negative weight cycles + var negativeWeightCycleIds = []; + for (var _e = 0; _e < numEdges; _e++) { + var _edge = edges[_e]; + var _src = _edge.source(); + var _tgt = _edge.target(); + var _weight2 = weightFn(_edge); + var srcDist = getInfo(_src).dist; + var tgtDist = getInfo(_tgt).dist; + if (srcDist + _weight2 < tgtDist || !directed && tgtDist + _weight2 < srcDist) { + if (!hasNegativeWeightCycle) { + warn('Graph contains a negative weight cycle for Bellman-Ford'); + hasNegativeWeightCycle = true; + } + if (options.findNegativeWeightCycles !== false) { + var negativeNodes = []; + if (srcDist + _weight2 < tgtDist) { + negativeNodes.push(_src); + } + if (!directed && tgtDist + _weight2 < srcDist) { + negativeNodes.push(_tgt); + } + var numNegativeNodes = negativeNodes.length; + for (var n = 0; n < numNegativeNodes; n++) { + var start = negativeNodes[n]; + var cycle = [start]; + cycle.push(getInfo(start).edge); + var _node = getInfo(start).pred; + while (cycle.indexOf(_node) === -1) { + cycle.push(_node); + cycle.push(getInfo(_node).edge); + _node = getInfo(_node).pred; + } + cycle = cycle.slice(cycle.indexOf(_node)); + var smallestId = cycle[0].id(); + var smallestIndex = 0; + for (var c = 2; c < cycle.length; c += 2) { + if (cycle[c].id() < smallestId) { + smallestId = cycle[c].id(); + smallestIndex = c; + } + } + cycle = cycle.slice(smallestIndex).concat(cycle.slice(0, smallestIndex)); + cycle.push(cycle[0]); + var cycleId = cycle.map(function (el) { + return el.id(); + }).join(","); + if (negativeWeightCycleIds.indexOf(cycleId) === -1) { + negativeWeightCycles.push(eles.spawn(cycle)); + negativeWeightCycleIds.push(cycleId); + } + } + } else { + break; + } + } + } + } + return { + distanceTo: distanceTo, + pathTo: pathTo, + hasNegativeWeightCycle: hasNegativeWeightCycle, + negativeWeightCycles: negativeWeightCycles + }; + } // bellmanFord +}; // elesfn + +var sqrt2 = Math.sqrt(2); + +// Function which colapses 2 (meta) nodes into one +// Updates the remaining edge lists +// Receives as a paramater the edge which causes the collapse +var collapse = function collapse(edgeIndex, nodeMap, remainingEdges) { + if (remainingEdges.length === 0) { + error("Karger-Stein must be run on a connected (sub)graph"); + } + var edgeInfo = remainingEdges[edgeIndex]; + var sourceIn = edgeInfo[1]; + var targetIn = edgeInfo[2]; + var partition1 = nodeMap[sourceIn]; + var partition2 = nodeMap[targetIn]; + var newEdges = remainingEdges; // re-use array + + // Delete all edges between partition1 and partition2 + for (var i = newEdges.length - 1; i >= 0; i--) { + var edge = newEdges[i]; + var src = edge[1]; + var tgt = edge[2]; + if (nodeMap[src] === partition1 && nodeMap[tgt] === partition2 || nodeMap[src] === partition2 && nodeMap[tgt] === partition1) { + newEdges.splice(i, 1); + } + } + + // All edges pointing to partition2 should now point to partition1 + for (var _i = 0; _i < newEdges.length; _i++) { + var _edge = newEdges[_i]; + if (_edge[1] === partition2) { + // Check source + newEdges[_i] = _edge.slice(); // copy + newEdges[_i][1] = partition1; + } else if (_edge[2] === partition2) { + // Check target + newEdges[_i] = _edge.slice(); // copy + newEdges[_i][2] = partition1; + } + } + + // Move all nodes from partition2 to partition1 + for (var _i2 = 0; _i2 < nodeMap.length; _i2++) { + if (nodeMap[_i2] === partition2) { + nodeMap[_i2] = partition1; + } + } + return newEdges; +}; + +// Contracts a graph until we reach a certain number of meta nodes +var contractUntil = function contractUntil(metaNodeMap, remainingEdges, size, sizeLimit) { + while (size > sizeLimit) { + // Choose an edge randomly + var edgeIndex = Math.floor(Math.random() * remainingEdges.length); + + // Collapse graph based on edge + remainingEdges = collapse(edgeIndex, metaNodeMap, remainingEdges); + size--; + } + return remainingEdges; +}; +var elesfn$p = { + // Computes the minimum cut of an undirected graph + // Returns the correct answer with high probability + kargerStein: function kargerStein() { + var _this = this; + var _this$byGroup = this.byGroup(), + nodes = _this$byGroup.nodes, + edges = _this$byGroup.edges; + edges.unmergeBy(function (edge) { + return edge.isLoop(); + }); + var numNodes = nodes.length; + var numEdges = edges.length; + var numIter = Math.ceil(Math.pow(Math.log(numNodes) / Math.LN2, 2)); + var stopSize = Math.floor(numNodes / sqrt2); + if (numNodes < 2) { + error('At least 2 nodes are required for Karger-Stein algorithm'); + return undefined; + } + + // Now store edge destination as indexes + // Format for each edge (edge index, source node index, target node index) + var edgeIndexes = []; + for (var i = 0; i < numEdges; i++) { + var e = edges[i]; + edgeIndexes.push([i, nodes.indexOf(e.source()), nodes.indexOf(e.target())]); + } + + // We will store the best cut found here + var minCutSize = Infinity; + var minCutEdgeIndexes = []; + var minCutNodeMap = new Array(numNodes); + + // Initial meta node partition + var metaNodeMap = new Array(numNodes); + var metaNodeMap2 = new Array(numNodes); + var copyNodesMap = function copyNodesMap(from, to) { + for (var _i3 = 0; _i3 < numNodes; _i3++) { + to[_i3] = from[_i3]; + } + }; + + // Main loop + for (var iter = 0; iter <= numIter; iter++) { + // Reset meta node partition + for (var _i4 = 0; _i4 < numNodes; _i4++) { + metaNodeMap[_i4] = _i4; + } + + // Contract until stop point (stopSize nodes) + var edgesState = contractUntil(metaNodeMap, edgeIndexes.slice(), numNodes, stopSize); + var edgesState2 = edgesState.slice(); // copy + + // Create a copy of the colapsed nodes state + copyNodesMap(metaNodeMap, metaNodeMap2); + + // Run 2 iterations starting in the stop state + var res1 = contractUntil(metaNodeMap, edgesState, stopSize, 2); + var res2 = contractUntil(metaNodeMap2, edgesState2, stopSize, 2); + + // Is any of the 2 results the best cut so far? + if (res1.length <= res2.length && res1.length < minCutSize) { + minCutSize = res1.length; + minCutEdgeIndexes = res1; + copyNodesMap(metaNodeMap, minCutNodeMap); + } else if (res2.length <= res1.length && res2.length < minCutSize) { + minCutSize = res2.length; + minCutEdgeIndexes = res2; + copyNodesMap(metaNodeMap2, minCutNodeMap); + } + } // end of main loop + + // Construct result + var cut = this.spawn(minCutEdgeIndexes.map(function (e) { + return edges[e[0]]; + })); + var partition1 = this.spawn(); + var partition2 = this.spawn(); + + // traverse metaNodeMap for best cut + var witnessNodePartition = minCutNodeMap[0]; + for (var _i5 = 0; _i5 < minCutNodeMap.length; _i5++) { + var partitionId = minCutNodeMap[_i5]; + var node = nodes[_i5]; + if (partitionId === witnessNodePartition) { + partition1.merge(node); + } else { + partition2.merge(node); + } + } + + // construct components corresponding to each disjoint subset of nodes + var constructComponent = function constructComponent(subset) { + var component = _this.spawn(); + subset.forEach(function (node) { + component.merge(node); + node.connectedEdges().forEach(function (edge) { + // ensure edge is within calling collection and edge is not in cut + if (_this.contains(edge) && !cut.contains(edge)) { + component.merge(edge); + } + }); + }); + return component; + }; + var components = [constructComponent(partition1), constructComponent(partition2)]; + var ret = { + cut: cut, + components: components, + // n.b. partitions are included to be compatible with the old api spec + // (could be removed in a future major version) + partition1: partition1, + partition2: partition2 + }; + return ret; + } +}; // elesfn + +var copyPosition = function copyPosition(p) { + return { + x: p.x, + y: p.y + }; +}; +var modelToRenderedPosition = function modelToRenderedPosition(p, zoom, pan) { + return { + x: p.x * zoom + pan.x, + y: p.y * zoom + pan.y + }; +}; +var renderedToModelPosition = function renderedToModelPosition(p, zoom, pan) { + return { + x: (p.x - pan.x) / zoom, + y: (p.y - pan.y) / zoom + }; +}; +var array2point = function array2point(arr) { + return { + x: arr[0], + y: arr[1] + }; +}; +var min = function min(arr) { + var begin = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; + var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : arr.length; + var min = Infinity; + for (var i = begin; i < end; i++) { + var val = arr[i]; + if (isFinite(val)) { + min = Math.min(val, min); + } + } + return min; +}; +var max = function max(arr) { + var begin = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; + var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : arr.length; + var max = -Infinity; + for (var i = begin; i < end; i++) { + var val = arr[i]; + if (isFinite(val)) { + max = Math.max(val, max); + } + } + return max; +}; +var mean = function mean(arr) { + var begin = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; + var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : arr.length; + var total = 0; + var n = 0; + for (var i = begin; i < end; i++) { + var val = arr[i]; + if (isFinite(val)) { + total += val; + n++; + } + } + return total / n; +}; +var median = function median(arr) { + var begin = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; + var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : arr.length; + var copy = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true; + var sort = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true; + var includeHoles = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : true; + if (copy) { + arr = arr.slice(begin, end); + } else { + if (end < arr.length) { + arr.splice(end, arr.length - end); + } + if (begin > 0) { + arr.splice(0, begin); + } + } + + // all non finite (e.g. Infinity, NaN) elements must be -Infinity so they go to the start + var off = 0; // offset from non-finite values + for (var i = arr.length - 1; i >= 0; i--) { + var v = arr[i]; + if (includeHoles) { + if (!isFinite(v)) { + arr[i] = -Infinity; + off++; + } + } else { + // just remove it if we don't want to consider holes + arr.splice(i, 1); + } + } + if (sort) { + arr.sort(function (a, b) { + return a - b; + }); // requires copy = true if you don't want to change the orig + } + + var len = arr.length; + var mid = Math.floor(len / 2); + if (len % 2 !== 0) { + return arr[mid + 1 + off]; + } else { + return (arr[mid - 1 + off] + arr[mid + off]) / 2; + } +}; +var deg2rad = function deg2rad(deg) { + return Math.PI * deg / 180; +}; +var getAngleFromDisp = function getAngleFromDisp(dispX, dispY) { + return Math.atan2(dispY, dispX) - Math.PI / 2; +}; +var log2 = Math.log2 || function (n) { + return Math.log(n) / Math.log(2); +}; +var signum = function signum(x) { + if (x > 0) { + return 1; + } else if (x < 0) { + return -1; + } else { + return 0; + } +}; +var dist = function dist(p1, p2) { + return Math.sqrt(sqdist(p1, p2)); +}; +var sqdist = function sqdist(p1, p2) { + var dx = p2.x - p1.x; + var dy = p2.y - p1.y; + return dx * dx + dy * dy; +}; +var inPlaceSumNormalize = function inPlaceSumNormalize(v) { + var length = v.length; + + // First, get sum of all elements + var total = 0; + for (var i = 0; i < length; i++) { + total += v[i]; + } + + // Now, divide each by the sum of all elements + for (var _i = 0; _i < length; _i++) { + v[_i] = v[_i] / total; + } + return v; +}; + +// from http://en.wikipedia.org/wiki/Bézier_curve#Quadratic_curves +var qbezierAt = function qbezierAt(p0, p1, p2, t) { + return (1 - t) * (1 - t) * p0 + 2 * (1 - t) * t * p1 + t * t * p2; +}; +var qbezierPtAt = function qbezierPtAt(p0, p1, p2, t) { + return { + x: qbezierAt(p0.x, p1.x, p2.x, t), + y: qbezierAt(p0.y, p1.y, p2.y, t) + }; +}; +var lineAt = function lineAt(p0, p1, t, d) { + var vec = { + x: p1.x - p0.x, + y: p1.y - p0.y + }; + var vecDist = dist(p0, p1); + var normVec = { + x: vec.x / vecDist, + y: vec.y / vecDist + }; + t = t == null ? 0 : t; + d = d != null ? d : t * vecDist; + return { + x: p0.x + normVec.x * d, + y: p0.y + normVec.y * d + }; +}; +var bound = function bound(min, val, max) { + return Math.max(min, Math.min(max, val)); +}; + +// makes a full bb (x1, y1, x2, y2, w, h) from implicit params +var makeBoundingBox = function makeBoundingBox(bb) { + if (bb == null) { + return { + x1: Infinity, + y1: Infinity, + x2: -Infinity, + y2: -Infinity, + w: 0, + h: 0 + }; + } else if (bb.x1 != null && bb.y1 != null) { + if (bb.x2 != null && bb.y2 != null && bb.x2 >= bb.x1 && bb.y2 >= bb.y1) { + return { + x1: bb.x1, + y1: bb.y1, + x2: bb.x2, + y2: bb.y2, + w: bb.x2 - bb.x1, + h: bb.y2 - bb.y1 + }; + } else if (bb.w != null && bb.h != null && bb.w >= 0 && bb.h >= 0) { + return { + x1: bb.x1, + y1: bb.y1, + x2: bb.x1 + bb.w, + y2: bb.y1 + bb.h, + w: bb.w, + h: bb.h + }; + } + } +}; +var copyBoundingBox = function copyBoundingBox(bb) { + return { + x1: bb.x1, + x2: bb.x2, + w: bb.w, + y1: bb.y1, + y2: bb.y2, + h: bb.h + }; +}; +var clearBoundingBox = function clearBoundingBox(bb) { + bb.x1 = Infinity; + bb.y1 = Infinity; + bb.x2 = -Infinity; + bb.y2 = -Infinity; + bb.w = 0; + bb.h = 0; +}; +var shiftBoundingBox = function shiftBoundingBox(bb, dx, dy) { + return { + x1: bb.x1 + dx, + x2: bb.x2 + dx, + y1: bb.y1 + dy, + y2: bb.y2 + dy, + w: bb.w, + h: bb.h + }; +}; +var updateBoundingBox = function updateBoundingBox(bb1, bb2) { + // update bb1 with bb2 bounds + + bb1.x1 = Math.min(bb1.x1, bb2.x1); + bb1.x2 = Math.max(bb1.x2, bb2.x2); + bb1.w = bb1.x2 - bb1.x1; + bb1.y1 = Math.min(bb1.y1, bb2.y1); + bb1.y2 = Math.max(bb1.y2, bb2.y2); + bb1.h = bb1.y2 - bb1.y1; +}; +var expandBoundingBoxByPoint = function expandBoundingBoxByPoint(bb, x, y) { + bb.x1 = Math.min(bb.x1, x); + bb.x2 = Math.max(bb.x2, x); + bb.w = bb.x2 - bb.x1; + bb.y1 = Math.min(bb.y1, y); + bb.y2 = Math.max(bb.y2, y); + bb.h = bb.y2 - bb.y1; +}; +var expandBoundingBox = function expandBoundingBox(bb) { + var padding = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; + bb.x1 -= padding; + bb.x2 += padding; + bb.y1 -= padding; + bb.y2 += padding; + bb.w = bb.x2 - bb.x1; + bb.h = bb.y2 - bb.y1; + return bb; +}; +var expandBoundingBoxSides = function expandBoundingBoxSides(bb) { + var padding = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : [0]; + var top, right, bottom, left; + if (padding.length === 1) { + top = right = bottom = left = padding[0]; + } else if (padding.length === 2) { + top = bottom = padding[0]; + left = right = padding[1]; + } else if (padding.length === 4) { + var _padding = _slicedToArray(padding, 4); + top = _padding[0]; + right = _padding[1]; + bottom = _padding[2]; + left = _padding[3]; + } + bb.x1 -= left; + bb.x2 += right; + bb.y1 -= top; + bb.y2 += bottom; + bb.w = bb.x2 - bb.x1; + bb.h = bb.y2 - bb.y1; + return bb; +}; + +// assign the values of bb2 into bb1 +var assignBoundingBox = function assignBoundingBox(bb1, bb2) { + bb1.x1 = bb2.x1; + bb1.y1 = bb2.y1; + bb1.x2 = bb2.x2; + bb1.y2 = bb2.y2; + bb1.w = bb1.x2 - bb1.x1; + bb1.h = bb1.y2 - bb1.y1; +}; +var boundingBoxesIntersect = function boundingBoxesIntersect(bb1, bb2) { + // case: one bb to right of other + if (bb1.x1 > bb2.x2) { + return false; + } + if (bb2.x1 > bb1.x2) { + return false; + } + + // case: one bb to left of other + if (bb1.x2 < bb2.x1) { + return false; + } + if (bb2.x2 < bb1.x1) { + return false; + } + + // case: one bb above other + if (bb1.y2 < bb2.y1) { + return false; + } + if (bb2.y2 < bb1.y1) { + return false; + } + + // case: one bb below other + if (bb1.y1 > bb2.y2) { + return false; + } + if (bb2.y1 > bb1.y2) { + return false; + } + + // otherwise, must have some overlap + return true; +}; +var inBoundingBox = function inBoundingBox(bb, x, y) { + return bb.x1 <= x && x <= bb.x2 && bb.y1 <= y && y <= bb.y2; +}; +var pointInBoundingBox = function pointInBoundingBox(bb, pt) { + return inBoundingBox(bb, pt.x, pt.y); +}; +var boundingBoxInBoundingBox = function boundingBoxInBoundingBox(bb1, bb2) { + return inBoundingBox(bb1, bb2.x1, bb2.y1) && inBoundingBox(bb1, bb2.x2, bb2.y2); +}; +var roundRectangleIntersectLine = function roundRectangleIntersectLine(x, y, nodeX, nodeY, width, height, padding) { + var cornerRadius = getRoundRectangleRadius(width, height); + var halfWidth = width / 2; + var halfHeight = height / 2; + + // Check intersections with straight line segments + var straightLineIntersections; + + // Top segment, left to right + { + var topStartX = nodeX - halfWidth + cornerRadius - padding; + var topStartY = nodeY - halfHeight - padding; + var topEndX = nodeX + halfWidth - cornerRadius + padding; + var topEndY = topStartY; + straightLineIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, topStartX, topStartY, topEndX, topEndY, false); + if (straightLineIntersections.length > 0) { + return straightLineIntersections; + } + } + + // Right segment, top to bottom + { + var rightStartX = nodeX + halfWidth + padding; + var rightStartY = nodeY - halfHeight + cornerRadius - padding; + var rightEndX = rightStartX; + var rightEndY = nodeY + halfHeight - cornerRadius + padding; + straightLineIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, rightStartX, rightStartY, rightEndX, rightEndY, false); + if (straightLineIntersections.length > 0) { + return straightLineIntersections; + } + } + + // Bottom segment, left to right + { + var bottomStartX = nodeX - halfWidth + cornerRadius - padding; + var bottomStartY = nodeY + halfHeight + padding; + var bottomEndX = nodeX + halfWidth - cornerRadius + padding; + var bottomEndY = bottomStartY; + straightLineIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, bottomStartX, bottomStartY, bottomEndX, bottomEndY, false); + if (straightLineIntersections.length > 0) { + return straightLineIntersections; + } + } + + // Left segment, top to bottom + { + var leftStartX = nodeX - halfWidth - padding; + var leftStartY = nodeY - halfHeight + cornerRadius - padding; + var leftEndX = leftStartX; + var leftEndY = nodeY + halfHeight - cornerRadius + padding; + straightLineIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, leftStartX, leftStartY, leftEndX, leftEndY, false); + if (straightLineIntersections.length > 0) { + return straightLineIntersections; + } + } + + // Check intersections with arc segments + var arcIntersections; + + // Top Left + { + var topLeftCenterX = nodeX - halfWidth + cornerRadius; + var topLeftCenterY = nodeY - halfHeight + cornerRadius; + arcIntersections = intersectLineCircle(x, y, nodeX, nodeY, topLeftCenterX, topLeftCenterY, cornerRadius + padding); + + // Ensure the intersection is on the desired quarter of the circle + if (arcIntersections.length > 0 && arcIntersections[0] <= topLeftCenterX && arcIntersections[1] <= topLeftCenterY) { + return [arcIntersections[0], arcIntersections[1]]; + } + } + + // Top Right + { + var topRightCenterX = nodeX + halfWidth - cornerRadius; + var topRightCenterY = nodeY - halfHeight + cornerRadius; + arcIntersections = intersectLineCircle(x, y, nodeX, nodeY, topRightCenterX, topRightCenterY, cornerRadius + padding); + + // Ensure the intersection is on the desired quarter of the circle + if (arcIntersections.length > 0 && arcIntersections[0] >= topRightCenterX && arcIntersections[1] <= topRightCenterY) { + return [arcIntersections[0], arcIntersections[1]]; + } + } + + // Bottom Right + { + var bottomRightCenterX = nodeX + halfWidth - cornerRadius; + var bottomRightCenterY = nodeY + halfHeight - cornerRadius; + arcIntersections = intersectLineCircle(x, y, nodeX, nodeY, bottomRightCenterX, bottomRightCenterY, cornerRadius + padding); + + // Ensure the intersection is on the desired quarter of the circle + if (arcIntersections.length > 0 && arcIntersections[0] >= bottomRightCenterX && arcIntersections[1] >= bottomRightCenterY) { + return [arcIntersections[0], arcIntersections[1]]; + } + } + + // Bottom Left + { + var bottomLeftCenterX = nodeX - halfWidth + cornerRadius; + var bottomLeftCenterY = nodeY + halfHeight - cornerRadius; + arcIntersections = intersectLineCircle(x, y, nodeX, nodeY, bottomLeftCenterX, bottomLeftCenterY, cornerRadius + padding); + + // Ensure the intersection is on the desired quarter of the circle + if (arcIntersections.length > 0 && arcIntersections[0] <= bottomLeftCenterX && arcIntersections[1] >= bottomLeftCenterY) { + return [arcIntersections[0], arcIntersections[1]]; + } + } + return []; // if nothing +}; + +var inLineVicinity = function inLineVicinity(x, y, lx1, ly1, lx2, ly2, tolerance) { + var t = tolerance; + var x1 = Math.min(lx1, lx2); + var x2 = Math.max(lx1, lx2); + var y1 = Math.min(ly1, ly2); + var y2 = Math.max(ly1, ly2); + return x1 - t <= x && x <= x2 + t && y1 - t <= y && y <= y2 + t; +}; +var inBezierVicinity = function inBezierVicinity(x, y, x1, y1, x2, y2, x3, y3, tolerance) { + var bb = { + x1: Math.min(x1, x3, x2) - tolerance, + x2: Math.max(x1, x3, x2) + tolerance, + y1: Math.min(y1, y3, y2) - tolerance, + y2: Math.max(y1, y3, y2) + tolerance + }; + + // if outside the rough bounding box for the bezier, then it can't be a hit + if (x < bb.x1 || x > bb.x2 || y < bb.y1 || y > bb.y2) { + // console.log('bezier out of rough bb') + return false; + } else { + // console.log('do more expensive check'); + return true; + } +}; +var solveQuadratic = function solveQuadratic(a, b, c, val) { + c -= val; + var r = b * b - 4 * a * c; + if (r < 0) { + return []; + } + var sqrtR = Math.sqrt(r); + var denom = 2 * a; + var root1 = (-b + sqrtR) / denom; + var root2 = (-b - sqrtR) / denom; + return [root1, root2]; +}; +var solveCubic = function solveCubic(a, b, c, d, result) { + // Solves a cubic function, returns root in form [r1, i1, r2, i2, r3, i3], where + // r is the real component, i is the imaginary component + + // An implementation of the Cardano method from the year 1545 + // http://en.wikipedia.org/wiki/Cubic_function#The_nature_of_the_roots + + var epsilon = 0.00001; + + // avoid division by zero while keeping the overall expression close in value + if (a === 0) { + a = epsilon; + } + b /= a; + c /= a; + d /= a; + var discriminant, q, r, dum1, s, t, term1, r13; + q = (3.0 * c - b * b) / 9.0; + r = -(27.0 * d) + b * (9.0 * c - 2.0 * (b * b)); + r /= 54.0; + discriminant = q * q * q + r * r; + result[1] = 0; + term1 = b / 3.0; + if (discriminant > 0) { + s = r + Math.sqrt(discriminant); + s = s < 0 ? -Math.pow(-s, 1.0 / 3.0) : Math.pow(s, 1.0 / 3.0); + t = r - Math.sqrt(discriminant); + t = t < 0 ? -Math.pow(-t, 1.0 / 3.0) : Math.pow(t, 1.0 / 3.0); + result[0] = -term1 + s + t; + term1 += (s + t) / 2.0; + result[4] = result[2] = -term1; + term1 = Math.sqrt(3.0) * (-t + s) / 2; + result[3] = term1; + result[5] = -term1; + return; + } + result[5] = result[3] = 0; + if (discriminant === 0) { + r13 = r < 0 ? -Math.pow(-r, 1.0 / 3.0) : Math.pow(r, 1.0 / 3.0); + result[0] = -term1 + 2.0 * r13; + result[4] = result[2] = -(r13 + term1); + return; + } + q = -q; + dum1 = q * q * q; + dum1 = Math.acos(r / Math.sqrt(dum1)); + r13 = 2.0 * Math.sqrt(q); + result[0] = -term1 + r13 * Math.cos(dum1 / 3.0); + result[2] = -term1 + r13 * Math.cos((dum1 + 2.0 * Math.PI) / 3.0); + result[4] = -term1 + r13 * Math.cos((dum1 + 4.0 * Math.PI) / 3.0); + return; +}; +var sqdistToQuadraticBezier = function sqdistToQuadraticBezier(x, y, x1, y1, x2, y2, x3, y3) { + // Find minimum distance by using the minimum of the distance + // function between the given point and the curve + + // This gives the coefficients of the resulting cubic equation + // whose roots tell us where a possible minimum is + // (Coefficients are divided by 4) + + var a = 1.0 * x1 * x1 - 4 * x1 * x2 + 2 * x1 * x3 + 4 * x2 * x2 - 4 * x2 * x3 + x3 * x3 + y1 * y1 - 4 * y1 * y2 + 2 * y1 * y3 + 4 * y2 * y2 - 4 * y2 * y3 + y3 * y3; + var b = 1.0 * 9 * x1 * x2 - 3 * x1 * x1 - 3 * x1 * x3 - 6 * x2 * x2 + 3 * x2 * x3 + 9 * y1 * y2 - 3 * y1 * y1 - 3 * y1 * y3 - 6 * y2 * y2 + 3 * y2 * y3; + var c = 1.0 * 3 * x1 * x1 - 6 * x1 * x2 + x1 * x3 - x1 * x + 2 * x2 * x2 + 2 * x2 * x - x3 * x + 3 * y1 * y1 - 6 * y1 * y2 + y1 * y3 - y1 * y + 2 * y2 * y2 + 2 * y2 * y - y3 * y; + var d = 1.0 * x1 * x2 - x1 * x1 + x1 * x - x2 * x + y1 * y2 - y1 * y1 + y1 * y - y2 * y; + + // debug("coefficients: " + a / a + ", " + b / a + ", " + c / a + ", " + d / a); + + var roots = []; + + // Use the cubic solving algorithm + solveCubic(a, b, c, d, roots); + var zeroThreshold = 0.0000001; + var params = []; + for (var index = 0; index < 6; index += 2) { + if (Math.abs(roots[index + 1]) < zeroThreshold && roots[index] >= 0 && roots[index] <= 1.0) { + params.push(roots[index]); + } + } + params.push(1.0); + params.push(0.0); + var minDistanceSquared = -1; + var curX, curY, distSquared; + for (var i = 0; i < params.length; i++) { + curX = Math.pow(1.0 - params[i], 2.0) * x1 + 2.0 * (1 - params[i]) * params[i] * x2 + params[i] * params[i] * x3; + curY = Math.pow(1 - params[i], 2.0) * y1 + 2 * (1.0 - params[i]) * params[i] * y2 + params[i] * params[i] * y3; + distSquared = Math.pow(curX - x, 2) + Math.pow(curY - y, 2); + // debug('distance for param ' + params[i] + ": " + Math.sqrt(distSquared)); + if (minDistanceSquared >= 0) { + if (distSquared < minDistanceSquared) { + minDistanceSquared = distSquared; + } + } else { + minDistanceSquared = distSquared; + } + } + return minDistanceSquared; +}; +var sqdistToFiniteLine = function sqdistToFiniteLine(x, y, x1, y1, x2, y2) { + var offset = [x - x1, y - y1]; + var line = [x2 - x1, y2 - y1]; + var lineSq = line[0] * line[0] + line[1] * line[1]; + var hypSq = offset[0] * offset[0] + offset[1] * offset[1]; + var dotProduct = offset[0] * line[0] + offset[1] * line[1]; + var adjSq = dotProduct * dotProduct / lineSq; + if (dotProduct < 0) { + return hypSq; + } + if (adjSq > lineSq) { + return (x - x2) * (x - x2) + (y - y2) * (y - y2); + } + return hypSq - adjSq; +}; +var pointInsidePolygonPoints = function pointInsidePolygonPoints(x, y, points) { + var x1, y1, x2, y2; + var y3; + + // Intersect with vertical line through (x, y) + var up = 0; + // let down = 0; + for (var i = 0; i < points.length / 2; i++) { + x1 = points[i * 2]; + y1 = points[i * 2 + 1]; + if (i + 1 < points.length / 2) { + x2 = points[(i + 1) * 2]; + y2 = points[(i + 1) * 2 + 1]; + } else { + x2 = points[(i + 1 - points.length / 2) * 2]; + y2 = points[(i + 1 - points.length / 2) * 2 + 1]; + } + if (x1 == x && x2 == x) ; else if (x1 >= x && x >= x2 || x1 <= x && x <= x2) { + y3 = (x - x1) / (x2 - x1) * (y2 - y1) + y1; + if (y3 > y) { + up++; + } + + // if( y3 < y ){ + // down++; + // } + } else { + continue; + } + } + if (up % 2 === 0) { + return false; + } else { + return true; + } +}; +var pointInsidePolygon = function pointInsidePolygon(x, y, basePoints, centerX, centerY, width, height, direction, padding) { + var transformedPoints = new Array(basePoints.length); + + // Gives negative angle + var angle; + if (direction[0] != null) { + angle = Math.atan(direction[1] / direction[0]); + if (direction[0] < 0) { + angle = angle + Math.PI / 2; + } else { + angle = -angle - Math.PI / 2; + } + } else { + angle = direction; + } + var cos = Math.cos(-angle); + var sin = Math.sin(-angle); + + // console.log("base: " + basePoints); + for (var i = 0; i < transformedPoints.length / 2; i++) { + transformedPoints[i * 2] = width / 2 * (basePoints[i * 2] * cos - basePoints[i * 2 + 1] * sin); + transformedPoints[i * 2 + 1] = height / 2 * (basePoints[i * 2 + 1] * cos + basePoints[i * 2] * sin); + transformedPoints[i * 2] += centerX; + transformedPoints[i * 2 + 1] += centerY; + } + var points; + if (padding > 0) { + var expandedLineSet = expandPolygon(transformedPoints, -padding); + points = joinLines(expandedLineSet); + } else { + points = transformedPoints; + } + return pointInsidePolygonPoints(x, y, points); +}; +var pointInsideRoundPolygon = function pointInsideRoundPolygon(x, y, basePoints, centerX, centerY, width, height) { + var cutPolygonPoints = new Array(basePoints.length); + var halfW = width / 2; + var halfH = height / 2; + var cornerRadius = getRoundPolygonRadius(width, height); + var squaredCornerRadius = cornerRadius * cornerRadius; + for (var i = 0; i < basePoints.length / 4; i++) { + var sourceUv = void 0, + destUv = void 0; + if (i === 0) { + sourceUv = basePoints.length - 2; + } else { + sourceUv = i * 4 - 2; + } + destUv = i * 4 + 2; + var px = centerX + halfW * basePoints[i * 4]; + var py = centerY + halfH * basePoints[i * 4 + 1]; + var cosTheta = -basePoints[sourceUv] * basePoints[destUv] - basePoints[sourceUv + 1] * basePoints[destUv + 1]; + var offset = cornerRadius / Math.tan(Math.acos(cosTheta) / 2); + var cp0x = px - offset * basePoints[sourceUv]; + var cp0y = py - offset * basePoints[sourceUv + 1]; + var cp1x = px + offset * basePoints[destUv]; + var cp1y = py + offset * basePoints[destUv + 1]; + cutPolygonPoints[i * 4] = cp0x; + cutPolygonPoints[i * 4 + 1] = cp0y; + cutPolygonPoints[i * 4 + 2] = cp1x; + cutPolygonPoints[i * 4 + 3] = cp1y; + var orthx = basePoints[sourceUv + 1]; + var orthy = -basePoints[sourceUv]; + var cosAlpha = orthx * basePoints[destUv] + orthy * basePoints[destUv + 1]; + if (cosAlpha < 0) { + orthx *= -1; + orthy *= -1; + } + var cx = cp0x + orthx * cornerRadius; + var cy = cp0y + orthy * cornerRadius; + var squaredDistance = Math.pow(cx - x, 2) + Math.pow(cy - y, 2); + if (squaredDistance <= squaredCornerRadius) { + return true; + } + } + return pointInsidePolygonPoints(x, y, cutPolygonPoints); +}; +var joinLines = function joinLines(lineSet) { + var vertices = new Array(lineSet.length / 2); + var currentLineStartX, currentLineStartY, currentLineEndX, currentLineEndY; + var nextLineStartX, nextLineStartY, nextLineEndX, nextLineEndY; + for (var i = 0; i < lineSet.length / 4; i++) { + currentLineStartX = lineSet[i * 4]; + currentLineStartY = lineSet[i * 4 + 1]; + currentLineEndX = lineSet[i * 4 + 2]; + currentLineEndY = lineSet[i * 4 + 3]; + if (i < lineSet.length / 4 - 1) { + nextLineStartX = lineSet[(i + 1) * 4]; + nextLineStartY = lineSet[(i + 1) * 4 + 1]; + nextLineEndX = lineSet[(i + 1) * 4 + 2]; + nextLineEndY = lineSet[(i + 1) * 4 + 3]; + } else { + nextLineStartX = lineSet[0]; + nextLineStartY = lineSet[1]; + nextLineEndX = lineSet[2]; + nextLineEndY = lineSet[3]; + } + var intersection = finiteLinesIntersect(currentLineStartX, currentLineStartY, currentLineEndX, currentLineEndY, nextLineStartX, nextLineStartY, nextLineEndX, nextLineEndY, true); + vertices[i * 2] = intersection[0]; + vertices[i * 2 + 1] = intersection[1]; + } + return vertices; +}; +var expandPolygon = function expandPolygon(points, pad) { + var expandedLineSet = new Array(points.length * 2); + var currentPointX, currentPointY, nextPointX, nextPointY; + for (var i = 0; i < points.length / 2; i++) { + currentPointX = points[i * 2]; + currentPointY = points[i * 2 + 1]; + if (i < points.length / 2 - 1) { + nextPointX = points[(i + 1) * 2]; + nextPointY = points[(i + 1) * 2 + 1]; + } else { + nextPointX = points[0]; + nextPointY = points[1]; + } + + // Current line: [currentPointX, currentPointY] to [nextPointX, nextPointY] + + // Assume CCW polygon winding + + var offsetX = nextPointY - currentPointY; + var offsetY = -(nextPointX - currentPointX); + + // Normalize + var offsetLength = Math.sqrt(offsetX * offsetX + offsetY * offsetY); + var normalizedOffsetX = offsetX / offsetLength; + var normalizedOffsetY = offsetY / offsetLength; + expandedLineSet[i * 4] = currentPointX + normalizedOffsetX * pad; + expandedLineSet[i * 4 + 1] = currentPointY + normalizedOffsetY * pad; + expandedLineSet[i * 4 + 2] = nextPointX + normalizedOffsetX * pad; + expandedLineSet[i * 4 + 3] = nextPointY + normalizedOffsetY * pad; + } + return expandedLineSet; +}; +var intersectLineEllipse = function intersectLineEllipse(x, y, centerX, centerY, ellipseWradius, ellipseHradius) { + var dispX = centerX - x; + var dispY = centerY - y; + dispX /= ellipseWradius; + dispY /= ellipseHradius; + var len = Math.sqrt(dispX * dispX + dispY * dispY); + var newLength = len - 1; + if (newLength < 0) { + return []; + } + var lenProportion = newLength / len; + return [(centerX - x) * lenProportion + x, (centerY - y) * lenProportion + y]; +}; +var checkInEllipse = function checkInEllipse(x, y, width, height, centerX, centerY, padding) { + x -= centerX; + y -= centerY; + x /= width / 2 + padding; + y /= height / 2 + padding; + return x * x + y * y <= 1; +}; + +// Returns intersections of increasing distance from line's start point +var intersectLineCircle = function intersectLineCircle(x1, y1, x2, y2, centerX, centerY, radius) { + // Calculate d, direction vector of line + var d = [x2 - x1, y2 - y1]; // Direction vector of line + var f = [x1 - centerX, y1 - centerY]; + var a = d[0] * d[0] + d[1] * d[1]; + var b = 2 * (f[0] * d[0] + f[1] * d[1]); + var c = f[0] * f[0] + f[1] * f[1] - radius * radius; + var discriminant = b * b - 4 * a * c; + if (discriminant < 0) { + return []; + } + var t1 = (-b + Math.sqrt(discriminant)) / (2 * a); + var t2 = (-b - Math.sqrt(discriminant)) / (2 * a); + var tMin = Math.min(t1, t2); + var tMax = Math.max(t1, t2); + var inRangeParams = []; + if (tMin >= 0 && tMin <= 1) { + inRangeParams.push(tMin); + } + if (tMax >= 0 && tMax <= 1) { + inRangeParams.push(tMax); + } + if (inRangeParams.length === 0) { + return []; + } + var nearIntersectionX = inRangeParams[0] * d[0] + x1; + var nearIntersectionY = inRangeParams[0] * d[1] + y1; + if (inRangeParams.length > 1) { + if (inRangeParams[0] == inRangeParams[1]) { + return [nearIntersectionX, nearIntersectionY]; + } else { + var farIntersectionX = inRangeParams[1] * d[0] + x1; + var farIntersectionY = inRangeParams[1] * d[1] + y1; + return [nearIntersectionX, nearIntersectionY, farIntersectionX, farIntersectionY]; + } + } else { + return [nearIntersectionX, nearIntersectionY]; + } +}; +var midOfThree = function midOfThree(a, b, c) { + if (b <= a && a <= c || c <= a && a <= b) { + return a; + } else if (a <= b && b <= c || c <= b && b <= a) { + return b; + } else { + return c; + } +}; + +// (x1,y1)=>(x2,y2) intersect with (x3,y3)=>(x4,y4) +var finiteLinesIntersect = function finiteLinesIntersect(x1, y1, x2, y2, x3, y3, x4, y4, infiniteLines) { + var dx13 = x1 - x3; + var dx21 = x2 - x1; + var dx43 = x4 - x3; + var dy13 = y1 - y3; + var dy21 = y2 - y1; + var dy43 = y4 - y3; + var ua_t = dx43 * dy13 - dy43 * dx13; + var ub_t = dx21 * dy13 - dy21 * dx13; + var u_b = dy43 * dx21 - dx43 * dy21; + if (u_b !== 0) { + var ua = ua_t / u_b; + var ub = ub_t / u_b; + var flptThreshold = 0.001; + var _min = 0 - flptThreshold; + var _max = 1 + flptThreshold; + if (_min <= ua && ua <= _max && _min <= ub && ub <= _max) { + return [x1 + ua * dx21, y1 + ua * dy21]; + } else { + if (!infiniteLines) { + return []; + } else { + return [x1 + ua * dx21, y1 + ua * dy21]; + } + } + } else { + if (ua_t === 0 || ub_t === 0) { + // Parallel, coincident lines. Check if overlap + + // Check endpoint of second line + if (midOfThree(x1, x2, x4) === x4) { + return [x4, y4]; + } + + // Check start point of second line + if (midOfThree(x1, x2, x3) === x3) { + return [x3, y3]; + } + + // Endpoint of first line + if (midOfThree(x3, x4, x2) === x2) { + return [x2, y2]; + } + return []; + } else { + // Parallel, non-coincident + return []; + } + } +}; + +// math.polygonIntersectLine( x, y, basePoints, centerX, centerY, width, height, padding ) +// intersect a node polygon (pts transformed) +// +// math.polygonIntersectLine( x, y, basePoints, centerX, centerY ) +// intersect the points (no transform) +var polygonIntersectLine = function polygonIntersectLine(x, y, basePoints, centerX, centerY, width, height, padding) { + var intersections = []; + var intersection; + var transformedPoints = new Array(basePoints.length); + var doTransform = true; + if (width == null) { + doTransform = false; + } + var points; + if (doTransform) { + for (var i = 0; i < transformedPoints.length / 2; i++) { + transformedPoints[i * 2] = basePoints[i * 2] * width + centerX; + transformedPoints[i * 2 + 1] = basePoints[i * 2 + 1] * height + centerY; + } + if (padding > 0) { + var expandedLineSet = expandPolygon(transformedPoints, -padding); + points = joinLines(expandedLineSet); + } else { + points = transformedPoints; + } + } else { + points = basePoints; + } + var currentX, currentY, nextX, nextY; + for (var _i2 = 0; _i2 < points.length / 2; _i2++) { + currentX = points[_i2 * 2]; + currentY = points[_i2 * 2 + 1]; + if (_i2 < points.length / 2 - 1) { + nextX = points[(_i2 + 1) * 2]; + nextY = points[(_i2 + 1) * 2 + 1]; + } else { + nextX = points[0]; + nextY = points[1]; + } + intersection = finiteLinesIntersect(x, y, centerX, centerY, currentX, currentY, nextX, nextY); + if (intersection.length !== 0) { + intersections.push(intersection[0], intersection[1]); + } + } + return intersections; +}; +var roundPolygonIntersectLine = function roundPolygonIntersectLine(x, y, basePoints, centerX, centerY, width, height, padding) { + var intersections = []; + var intersection; + var lines = new Array(basePoints.length); + var halfW = width / 2; + var halfH = height / 2; + var cornerRadius = getRoundPolygonRadius(width, height); + for (var i = 0; i < basePoints.length / 4; i++) { + var sourceUv = void 0, + destUv = void 0; + if (i === 0) { + sourceUv = basePoints.length - 2; + } else { + sourceUv = i * 4 - 2; + } + destUv = i * 4 + 2; + var px = centerX + halfW * basePoints[i * 4]; + var py = centerY + halfH * basePoints[i * 4 + 1]; + var cosTheta = -basePoints[sourceUv] * basePoints[destUv] - basePoints[sourceUv + 1] * basePoints[destUv + 1]; + var offset = cornerRadius / Math.tan(Math.acos(cosTheta) / 2); + var cp0x = px - offset * basePoints[sourceUv]; + var cp0y = py - offset * basePoints[sourceUv + 1]; + var cp1x = px + offset * basePoints[destUv]; + var cp1y = py + offset * basePoints[destUv + 1]; + if (i === 0) { + lines[basePoints.length - 2] = cp0x; + lines[basePoints.length - 1] = cp0y; + } else { + lines[i * 4 - 2] = cp0x; + lines[i * 4 - 1] = cp0y; + } + lines[i * 4] = cp1x; + lines[i * 4 + 1] = cp1y; + var orthx = basePoints[sourceUv + 1]; + var orthy = -basePoints[sourceUv]; + var cosAlpha = orthx * basePoints[destUv] + orthy * basePoints[destUv + 1]; + if (cosAlpha < 0) { + orthx *= -1; + orthy *= -1; + } + var cx = cp0x + orthx * cornerRadius; + var cy = cp0y + orthy * cornerRadius; + intersection = intersectLineCircle(x, y, centerX, centerY, cx, cy, cornerRadius); + if (intersection.length !== 0) { + intersections.push(intersection[0], intersection[1]); + } + } + for (var _i3 = 0; _i3 < lines.length / 4; _i3++) { + intersection = finiteLinesIntersect(x, y, centerX, centerY, lines[_i3 * 4], lines[_i3 * 4 + 1], lines[_i3 * 4 + 2], lines[_i3 * 4 + 3], false); + if (intersection.length !== 0) { + intersections.push(intersection[0], intersection[1]); + } + } + if (intersections.length > 2) { + var lowestIntersection = [intersections[0], intersections[1]]; + var lowestSquaredDistance = Math.pow(lowestIntersection[0] - x, 2) + Math.pow(lowestIntersection[1] - y, 2); + for (var _i4 = 1; _i4 < intersections.length / 2; _i4++) { + var squaredDistance = Math.pow(intersections[_i4 * 2] - x, 2) + Math.pow(intersections[_i4 * 2 + 1] - y, 2); + if (squaredDistance <= lowestSquaredDistance) { + lowestIntersection[0] = intersections[_i4 * 2]; + lowestIntersection[1] = intersections[_i4 * 2 + 1]; + lowestSquaredDistance = squaredDistance; + } + } + return lowestIntersection; + } + return intersections; +}; +var shortenIntersection = function shortenIntersection(intersection, offset, amount) { + var disp = [intersection[0] - offset[0], intersection[1] - offset[1]]; + var length = Math.sqrt(disp[0] * disp[0] + disp[1] * disp[1]); + var lenRatio = (length - amount) / length; + if (lenRatio < 0) { + lenRatio = 0.00001; + } + return [offset[0] + lenRatio * disp[0], offset[1] + lenRatio * disp[1]]; +}; +var generateUnitNgonPointsFitToSquare = function generateUnitNgonPointsFitToSquare(sides, rotationRadians) { + var points = generateUnitNgonPoints(sides, rotationRadians); + points = fitPolygonToSquare(points); + return points; +}; +var fitPolygonToSquare = function fitPolygonToSquare(points) { + var x, y; + var sides = points.length / 2; + var minX = Infinity, + minY = Infinity, + maxX = -Infinity, + maxY = -Infinity; + for (var i = 0; i < sides; i++) { + x = points[2 * i]; + y = points[2 * i + 1]; + minX = Math.min(minX, x); + maxX = Math.max(maxX, x); + minY = Math.min(minY, y); + maxY = Math.max(maxY, y); + } + + // stretch factors + var sx = 2 / (maxX - minX); + var sy = 2 / (maxY - minY); + for (var _i5 = 0; _i5 < sides; _i5++) { + x = points[2 * _i5] = points[2 * _i5] * sx; + y = points[2 * _i5 + 1] = points[2 * _i5 + 1] * sy; + minX = Math.min(minX, x); + maxX = Math.max(maxX, x); + minY = Math.min(minY, y); + maxY = Math.max(maxY, y); + } + if (minY < -1) { + for (var _i6 = 0; _i6 < sides; _i6++) { + y = points[2 * _i6 + 1] = points[2 * _i6 + 1] + (-1 - minY); + } + } + return points; +}; +var generateUnitNgonPoints = function generateUnitNgonPoints(sides, rotationRadians) { + var increment = 1.0 / sides * 2 * Math.PI; + var startAngle = sides % 2 === 0 ? Math.PI / 2.0 + increment / 2.0 : Math.PI / 2.0; + startAngle += rotationRadians; + var points = new Array(sides * 2); + var currentAngle; + for (var i = 0; i < sides; i++) { + currentAngle = i * increment + startAngle; + points[2 * i] = Math.cos(currentAngle); // x + points[2 * i + 1] = Math.sin(-currentAngle); // y + } + + return points; +}; + +// Set the default radius, unless half of width or height is smaller than default +var getRoundRectangleRadius = function getRoundRectangleRadius(width, height) { + return Math.min(width / 4, height / 4, 8); +}; + +// Set the default radius +var getRoundPolygonRadius = function getRoundPolygonRadius(width, height) { + return Math.min(width / 10, height / 10, 8); +}; +var getCutRectangleCornerLength = function getCutRectangleCornerLength() { + return 8; +}; +var bezierPtsToQuadCoeff = function bezierPtsToQuadCoeff(p0, p1, p2) { + return [p0 - 2 * p1 + p2, 2 * (p1 - p0), p0]; +}; + +// get curve width, height, and control point position offsets as a percentage of node height / width +var getBarrelCurveConstants = function getBarrelCurveConstants(width, height) { + return { + heightOffset: Math.min(15, 0.05 * height), + widthOffset: Math.min(100, 0.25 * width), + ctrlPtOffsetPct: 0.05 + }; +}; + +var pageRankDefaults = defaults$g({ + dampingFactor: 0.8, + precision: 0.000001, + iterations: 200, + weight: function weight(edge) { + return 1; + } +}); +var elesfn$o = { + pageRank: function pageRank(options) { + var _pageRankDefaults = pageRankDefaults(options), + dampingFactor = _pageRankDefaults.dampingFactor, + precision = _pageRankDefaults.precision, + iterations = _pageRankDefaults.iterations, + weight = _pageRankDefaults.weight; + var cy = this._private.cy; + var _this$byGroup = this.byGroup(), + nodes = _this$byGroup.nodes, + edges = _this$byGroup.edges; + var numNodes = nodes.length; + var numNodesSqd = numNodes * numNodes; + var numEdges = edges.length; + + // Construct transposed adjacency matrix + // First lets have a zeroed matrix of the right size + // We'll also keep track of the sum of each column + var matrix = new Array(numNodesSqd); + var columnSum = new Array(numNodes); + var additionalProb = (1 - dampingFactor) / numNodes; + + // Create null matrix + for (var i = 0; i < numNodes; i++) { + for (var j = 0; j < numNodes; j++) { + var n = i * numNodes + j; + matrix[n] = 0; + } + columnSum[i] = 0; + } + + // Now, process edges + for (var _i = 0; _i < numEdges; _i++) { + var edge = edges[_i]; + var srcId = edge.data('source'); + var tgtId = edge.data('target'); + + // Don't include loops in the matrix + if (srcId === tgtId) { + continue; + } + var s = nodes.indexOfId(srcId); + var t = nodes.indexOfId(tgtId); + var w = weight(edge); + var _n = t * numNodes + s; + + // Update matrix + matrix[_n] += w; + + // Update column sum + columnSum[s] += w; + } + + // Add additional probability based on damping factor + // Also, take into account columns that have sum = 0 + var p = 1.0 / numNodes + additionalProb; // Shorthand + + // Traverse matrix, column by column + for (var _j = 0; _j < numNodes; _j++) { + if (columnSum[_j] === 0) { + // No 'links' out from node jth, assume equal probability for each possible node + for (var _i2 = 0; _i2 < numNodes; _i2++) { + var _n2 = _i2 * numNodes + _j; + matrix[_n2] = p; + } + } else { + // Node jth has outgoing link, compute normalized probabilities + for (var _i3 = 0; _i3 < numNodes; _i3++) { + var _n3 = _i3 * numNodes + _j; + matrix[_n3] = matrix[_n3] / columnSum[_j] + additionalProb; + } + } + } + + // Compute dominant eigenvector using power method + var eigenvector = new Array(numNodes); + var temp = new Array(numNodes); + var previous; + + // Start with a vector of all 1's + // Also, initialize a null vector which will be used as shorthand + for (var _i4 = 0; _i4 < numNodes; _i4++) { + eigenvector[_i4] = 1; + } + for (var iter = 0; iter < iterations; iter++) { + // Temp array with all 0's + for (var _i5 = 0; _i5 < numNodes; _i5++) { + temp[_i5] = 0; + } + + // Multiply matrix with previous result + for (var _i6 = 0; _i6 < numNodes; _i6++) { + for (var _j2 = 0; _j2 < numNodes; _j2++) { + var _n4 = _i6 * numNodes + _j2; + temp[_i6] += matrix[_n4] * eigenvector[_j2]; + } + } + inPlaceSumNormalize(temp); + previous = eigenvector; + eigenvector = temp; + temp = previous; + var diff = 0; + // Compute difference (squared module) of both vectors + for (var _i7 = 0; _i7 < numNodes; _i7++) { + var delta = previous[_i7] - eigenvector[_i7]; + diff += delta * delta; + } + + // If difference is less than the desired threshold, stop iterating + if (diff < precision) { + break; + } + } + + // Construct result + var res = { + rank: function rank(node) { + node = cy.collection(node)[0]; + return eigenvector[nodes.indexOf(node)]; + } + }; + return res; + } // pageRank +}; // elesfn + +var defaults$f = defaults$g({ + root: null, + weight: function weight(edge) { + return 1; + }, + directed: false, + alpha: 0 +}); +var elesfn$n = { + degreeCentralityNormalized: function degreeCentralityNormalized(options) { + options = defaults$f(options); + var cy = this.cy(); + var nodes = this.nodes(); + var numNodes = nodes.length; + if (!options.directed) { + var degrees = {}; + var maxDegree = 0; + for (var i = 0; i < numNodes; i++) { + var node = nodes[i]; + + // add current node to the current options object and call degreeCentrality + options.root = node; + var currDegree = this.degreeCentrality(options); + if (maxDegree < currDegree.degree) { + maxDegree = currDegree.degree; + } + degrees[node.id()] = currDegree.degree; + } + return { + degree: function degree(node) { + if (maxDegree === 0) { + return 0; + } + if (string(node)) { + // from is a selector string + node = cy.filter(node); + } + return degrees[node.id()] / maxDegree; + } + }; + } else { + var indegrees = {}; + var outdegrees = {}; + var maxIndegree = 0; + var maxOutdegree = 0; + for (var _i = 0; _i < numNodes; _i++) { + var _node = nodes[_i]; + var id = _node.id(); + + // add current node to the current options object and call degreeCentrality + options.root = _node; + var _currDegree = this.degreeCentrality(options); + if (maxIndegree < _currDegree.indegree) maxIndegree = _currDegree.indegree; + if (maxOutdegree < _currDegree.outdegree) maxOutdegree = _currDegree.outdegree; + indegrees[id] = _currDegree.indegree; + outdegrees[id] = _currDegree.outdegree; + } + return { + indegree: function indegree(node) { + if (maxIndegree == 0) { + return 0; + } + if (string(node)) { + // from is a selector string + node = cy.filter(node); + } + return indegrees[node.id()] / maxIndegree; + }, + outdegree: function outdegree(node) { + if (maxOutdegree === 0) { + return 0; + } + if (string(node)) { + // from is a selector string + node = cy.filter(node); + } + return outdegrees[node.id()] / maxOutdegree; + } + }; + } + }, + // degreeCentralityNormalized + + // Implemented from the algorithm in Opsahl's paper + // "Node centrality in weighted networks: Generalizing degree and shortest paths" + // check the heading 2 "Degree" + degreeCentrality: function degreeCentrality(options) { + options = defaults$f(options); + var cy = this.cy(); + var callingEles = this; + var _options = options, + root = _options.root, + weight = _options.weight, + directed = _options.directed, + alpha = _options.alpha; + root = cy.collection(root)[0]; + if (!directed) { + var connEdges = root.connectedEdges().intersection(callingEles); + var k = connEdges.length; + var s = 0; + + // Now, sum edge weights + for (var i = 0; i < connEdges.length; i++) { + s += weight(connEdges[i]); + } + return { + degree: Math.pow(k, 1 - alpha) * Math.pow(s, alpha) + }; + } else { + var edges = root.connectedEdges(); + var incoming = edges.filter(function (edge) { + return edge.target().same(root) && callingEles.has(edge); + }); + var outgoing = edges.filter(function (edge) { + return edge.source().same(root) && callingEles.has(edge); + }); + var k_in = incoming.length; + var k_out = outgoing.length; + var s_in = 0; + var s_out = 0; + + // Now, sum incoming edge weights + for (var _i2 = 0; _i2 < incoming.length; _i2++) { + s_in += weight(incoming[_i2]); + } + + // Now, sum outgoing edge weights + for (var _i3 = 0; _i3 < outgoing.length; _i3++) { + s_out += weight(outgoing[_i3]); + } + return { + indegree: Math.pow(k_in, 1 - alpha) * Math.pow(s_in, alpha), + outdegree: Math.pow(k_out, 1 - alpha) * Math.pow(s_out, alpha) + }; + } + } // degreeCentrality +}; // elesfn + +// nice, short mathematical alias +elesfn$n.dc = elesfn$n.degreeCentrality; +elesfn$n.dcn = elesfn$n.degreeCentralityNormalised = elesfn$n.degreeCentralityNormalized; + +var defaults$e = defaults$g({ + harmonic: true, + weight: function weight() { + return 1; + }, + directed: false, + root: null +}); +var elesfn$m = { + closenessCentralityNormalized: function closenessCentralityNormalized(options) { + var _defaults = defaults$e(options), + harmonic = _defaults.harmonic, + weight = _defaults.weight, + directed = _defaults.directed; + var cy = this.cy(); + var closenesses = {}; + var maxCloseness = 0; + var nodes = this.nodes(); + var fw = this.floydWarshall({ + weight: weight, + directed: directed + }); + + // Compute closeness for every node and find the maximum closeness + for (var i = 0; i < nodes.length; i++) { + var currCloseness = 0; + var node_i = nodes[i]; + for (var j = 0; j < nodes.length; j++) { + if (i !== j) { + var d = fw.distance(node_i, nodes[j]); + if (harmonic) { + currCloseness += 1 / d; + } else { + currCloseness += d; + } + } + } + if (!harmonic) { + currCloseness = 1 / currCloseness; + } + if (maxCloseness < currCloseness) { + maxCloseness = currCloseness; + } + closenesses[node_i.id()] = currCloseness; + } + return { + closeness: function closeness(node) { + if (maxCloseness == 0) { + return 0; + } + if (string(node)) { + // from is a selector string + node = cy.filter(node)[0].id(); + } else { + // from is a node + node = node.id(); + } + return closenesses[node] / maxCloseness; + } + }; + }, + // Implemented from pseudocode from wikipedia + closenessCentrality: function closenessCentrality(options) { + var _defaults2 = defaults$e(options), + root = _defaults2.root, + weight = _defaults2.weight, + directed = _defaults2.directed, + harmonic = _defaults2.harmonic; + root = this.filter(root)[0]; + + // we need distance from this node to every other node + var dijkstra = this.dijkstra({ + root: root, + weight: weight, + directed: directed + }); + var totalDistance = 0; + var nodes = this.nodes(); + for (var i = 0; i < nodes.length; i++) { + var n = nodes[i]; + if (!n.same(root)) { + var d = dijkstra.distanceTo(n); + if (harmonic) { + totalDistance += 1 / d; + } else { + totalDistance += d; + } + } + } + return harmonic ? totalDistance : 1 / totalDistance; + } // closenessCentrality +}; // elesfn + +// nice, short mathematical alias +elesfn$m.cc = elesfn$m.closenessCentrality; +elesfn$m.ccn = elesfn$m.closenessCentralityNormalised = elesfn$m.closenessCentralityNormalized; + +var defaults$d = defaults$g({ + weight: null, + directed: false +}); +var elesfn$l = { + // Implemented from the algorithm in the paper "On Variants of Shortest-Path Betweenness Centrality and their Generic Computation" by Ulrik Brandes + betweennessCentrality: function betweennessCentrality(options) { + var _defaults = defaults$d(options), + directed = _defaults.directed, + weight = _defaults.weight; + var weighted = weight != null; + var cy = this.cy(); + + // starting + var V = this.nodes(); + var A = {}; + var _C = {}; + var max = 0; + var C = { + set: function set(key, val) { + _C[key] = val; + if (val > max) { + max = val; + } + }, + get: function get(key) { + return _C[key]; + } + }; + + // A contains the neighborhoods of every node + for (var i = 0; i < V.length; i++) { + var v = V[i]; + var vid = v.id(); + if (directed) { + A[vid] = v.outgoers().nodes(); // get outgoers of every node + } else { + A[vid] = v.openNeighborhood().nodes(); // get neighbors of every node + } + + C.set(vid, 0); + } + var _loop = function _loop(s) { + var sid = V[s].id(); + var S = []; // stack + var P = {}; + var g = {}; + var d = {}; + var Q = new Heap__default["default"](function (a, b) { + return d[a] - d[b]; + }); // queue + + // init dictionaries + for (var _i = 0; _i < V.length; _i++) { + var _vid = V[_i].id(); + P[_vid] = []; + g[_vid] = 0; + d[_vid] = Infinity; + } + g[sid] = 1; // sigma + d[sid] = 0; // distance to s + + Q.push(sid); + while (!Q.empty()) { + var _v = Q.pop(); + S.push(_v); + if (weighted) { + for (var j = 0; j < A[_v].length; j++) { + var w = A[_v][j]; + var vEle = cy.getElementById(_v); + var edge = void 0; + if (vEle.edgesTo(w).length > 0) { + edge = vEle.edgesTo(w)[0]; + } else { + edge = w.edgesTo(vEle)[0]; + } + var edgeWeight = weight(edge); + w = w.id(); + if (d[w] > d[_v] + edgeWeight) { + d[w] = d[_v] + edgeWeight; + if (Q.nodes.indexOf(w) < 0) { + //if w is not in Q + Q.push(w); + } else { + // update position if w is in Q + Q.updateItem(w); + } + g[w] = 0; + P[w] = []; + } + if (d[w] == d[_v] + edgeWeight) { + g[w] = g[w] + g[_v]; + P[w].push(_v); + } + } + } else { + for (var _j = 0; _j < A[_v].length; _j++) { + var _w = A[_v][_j].id(); + if (d[_w] == Infinity) { + Q.push(_w); + d[_w] = d[_v] + 1; + } + if (d[_w] == d[_v] + 1) { + g[_w] = g[_w] + g[_v]; + P[_w].push(_v); + } + } + } + } + var e = {}; + for (var _i2 = 0; _i2 < V.length; _i2++) { + e[V[_i2].id()] = 0; + } + while (S.length > 0) { + var _w2 = S.pop(); + for (var _j2 = 0; _j2 < P[_w2].length; _j2++) { + var _v2 = P[_w2][_j2]; + e[_v2] = e[_v2] + g[_v2] / g[_w2] * (1 + e[_w2]); + } + if (_w2 != V[s].id()) { + C.set(_w2, C.get(_w2) + e[_w2]); + } + } + }; + for (var s = 0; s < V.length; s++) { + _loop(s); + } + var ret = { + betweenness: function betweenness(node) { + var id = cy.collection(node).id(); + return C.get(id); + }, + betweennessNormalized: function betweennessNormalized(node) { + if (max == 0) { + return 0; + } + var id = cy.collection(node).id(); + return C.get(id) / max; + } + }; + + // alias + ret.betweennessNormalised = ret.betweennessNormalized; + return ret; + } // betweennessCentrality +}; // elesfn + +// nice, short mathematical alias +elesfn$l.bc = elesfn$l.betweennessCentrality; + +// Implemented by Zoe Xi @zoexi for GSOC 2016 + +/* eslint-disable no-unused-vars */ +var defaults$c = defaults$g({ + expandFactor: 2, + // affects time of computation and cluster granularity to some extent: M * M + inflateFactor: 2, + // affects cluster granularity (the greater the value, the more clusters): M(i,j) / E(j) + multFactor: 1, + // optional self loops for each node. Use a neutral value to improve cluster computations. + maxIterations: 20, + // maximum number of iterations of the MCL algorithm in a single run + attributes: [ + // attributes/features used to group nodes, ie. similarity values between nodes + function (edge) { + return 1; + }] +}); +/* eslint-enable */ + +var setOptions$3 = function setOptions(options) { + return defaults$c(options); +}; +/* eslint-enable */ + +var getSimilarity$1 = function getSimilarity(edge, attributes) { + var total = 0; + for (var i = 0; i < attributes.length; i++) { + total += attributes[i](edge); + } + return total; +}; +var addLoops = function addLoops(M, n, val) { + for (var i = 0; i < n; i++) { + M[i * n + i] = val; + } +}; +var normalize = function normalize(M, n) { + var sum; + for (var col = 0; col < n; col++) { + sum = 0; + for (var row = 0; row < n; row++) { + sum += M[row * n + col]; + } + for (var _row = 0; _row < n; _row++) { + M[_row * n + col] = M[_row * n + col] / sum; + } + } +}; + +// TODO: blocked matrix multiplication? +var mmult = function mmult(A, B, n) { + var C = new Array(n * n); + for (var i = 0; i < n; i++) { + for (var j = 0; j < n; j++) { + C[i * n + j] = 0; + } + for (var k = 0; k < n; k++) { + for (var _j = 0; _j < n; _j++) { + C[i * n + _j] += A[i * n + k] * B[k * n + _j]; + } + } + } + return C; +}; +var expand = function expand(M, n, expandFactor /** power **/) { + var _M = M.slice(0); + for (var p = 1; p < expandFactor; p++) { + M = mmult(M, _M, n); + } + return M; +}; +var inflate = function inflate(M, n, inflateFactor /** r **/) { + var _M = new Array(n * n); + + // M(i,j) ^ inflatePower + for (var i = 0; i < n * n; i++) { + _M[i] = Math.pow(M[i], inflateFactor); + } + normalize(_M, n); + return _M; +}; +var hasConverged = function hasConverged(M, _M, n2, roundFactor) { + // Check that both matrices have the same elements (i,j) + for (var i = 0; i < n2; i++) { + var v1 = Math.round(M[i] * Math.pow(10, roundFactor)) / Math.pow(10, roundFactor); // truncate to 'roundFactor' decimal places + var v2 = Math.round(_M[i] * Math.pow(10, roundFactor)) / Math.pow(10, roundFactor); + if (v1 !== v2) { + return false; + } + } + return true; +}; +var assign$2 = function assign(M, n, nodes, cy) { + var clusters = []; + for (var i = 0; i < n; i++) { + var cluster = []; + for (var j = 0; j < n; j++) { + // Row-wise attractors and elements that they attract belong in same cluster + if (Math.round(M[i * n + j] * 1000) / 1000 > 0) { + cluster.push(nodes[j]); + } + } + if (cluster.length !== 0) { + clusters.push(cy.collection(cluster)); + } + } + return clusters; +}; +var isDuplicate = function isDuplicate(c1, c2) { + for (var i = 0; i < c1.length; i++) { + if (!c2[i] || c1[i].id() !== c2[i].id()) { + return false; + } + } + return true; +}; +var removeDuplicates = function removeDuplicates(clusters) { + for (var i = 0; i < clusters.length; i++) { + for (var j = 0; j < clusters.length; j++) { + if (i != j && isDuplicate(clusters[i], clusters[j])) { + clusters.splice(j, 1); + } + } + } + return clusters; +}; +var markovClustering = function markovClustering(options) { + var nodes = this.nodes(); + var edges = this.edges(); + var cy = this.cy(); + + // Set parameters of algorithm: + var opts = setOptions$3(options); + + // Map each node to its position in node array + var id2position = {}; + for (var i = 0; i < nodes.length; i++) { + id2position[nodes[i].id()] = i; + } + + // Generate stochastic matrix M from input graph G (should be symmetric/undirected) + var n = nodes.length, + n2 = n * n; + var M = new Array(n2), + _M; + for (var _i = 0; _i < n2; _i++) { + M[_i] = 0; + } + for (var e = 0; e < edges.length; e++) { + var edge = edges[e]; + var _i2 = id2position[edge.source().id()]; + var j = id2position[edge.target().id()]; + var sim = getSimilarity$1(edge, opts.attributes); + M[_i2 * n + j] += sim; // G should be symmetric and undirected + M[j * n + _i2] += sim; + } + + // Begin Markov cluster algorithm + + // Step 1: Add self loops to each node, ie. add multFactor to matrix diagonal + addLoops(M, n, opts.multFactor); + + // Step 2: M = normalize( M ); + normalize(M, n); + var isStillMoving = true; + var iterations = 0; + while (isStillMoving && iterations < opts.maxIterations) { + isStillMoving = false; + + // Step 3: + _M = expand(M, n, opts.expandFactor); + + // Step 4: + M = inflate(_M, n, opts.inflateFactor); + + // Step 5: check to see if ~steady state has been reached + if (!hasConverged(M, _M, n2, 4)) { + isStillMoving = true; + } + iterations++; + } + + // Build clusters from matrix + var clusters = assign$2(M, n, nodes, cy); + + // Remove duplicate clusters due to symmetry of graph and M matrix + clusters = removeDuplicates(clusters); + return clusters; +}; +var markovClustering$1 = { + markovClustering: markovClustering, + mcl: markovClustering +}; + +// Common distance metrics for clustering algorithms +var identity = function identity(x) { + return x; +}; +var absDiff = function absDiff(p, q) { + return Math.abs(q - p); +}; +var addAbsDiff = function addAbsDiff(total, p, q) { + return total + absDiff(p, q); +}; +var addSquaredDiff = function addSquaredDiff(total, p, q) { + return total + Math.pow(q - p, 2); +}; +var sqrt = function sqrt(x) { + return Math.sqrt(x); +}; +var maxAbsDiff = function maxAbsDiff(currentMax, p, q) { + return Math.max(currentMax, absDiff(p, q)); +}; +var getDistance = function getDistance(length, getP, getQ, init, visit) { + var post = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : identity; + var ret = init; + var p, q; + for (var dim = 0; dim < length; dim++) { + p = getP(dim); + q = getQ(dim); + ret = visit(ret, p, q); + } + return post(ret); +}; +var distances = { + euclidean: function euclidean(length, getP, getQ) { + if (length >= 2) { + return getDistance(length, getP, getQ, 0, addSquaredDiff, sqrt); + } else { + // for single attr case, more efficient to avoid sqrt + return getDistance(length, getP, getQ, 0, addAbsDiff); + } + }, + squaredEuclidean: function squaredEuclidean(length, getP, getQ) { + return getDistance(length, getP, getQ, 0, addSquaredDiff); + }, + manhattan: function manhattan(length, getP, getQ) { + return getDistance(length, getP, getQ, 0, addAbsDiff); + }, + max: function max(length, getP, getQ) { + return getDistance(length, getP, getQ, -Infinity, maxAbsDiff); + } +}; + +// in case the user accidentally doesn't use camel case +distances['squared-euclidean'] = distances['squaredEuclidean']; +distances['squaredeuclidean'] = distances['squaredEuclidean']; +function clusteringDistance (method, length, getP, getQ, nodeP, nodeQ) { + var impl; + if (fn$6(method)) { + impl = method; + } else { + impl = distances[method] || distances.euclidean; + } + if (length === 0 && fn$6(method)) { + return impl(nodeP, nodeQ); + } else { + return impl(length, getP, getQ, nodeP, nodeQ); + } +} + +var defaults$b = defaults$g({ + k: 2, + m: 2, + sensitivityThreshold: 0.0001, + distance: 'euclidean', + maxIterations: 10, + attributes: [], + testMode: false, + testCentroids: null +}); +var setOptions$2 = function setOptions(options) { + return defaults$b(options); +}; + +var getDist = function getDist(type, node, centroid, attributes, mode) { + var noNodeP = mode !== 'kMedoids'; + var getP = noNodeP ? function (i) { + return centroid[i]; + } : function (i) { + return attributes[i](centroid); + }; + var getQ = function getQ(i) { + return attributes[i](node); + }; + var nodeP = centroid; + var nodeQ = node; + return clusteringDistance(type, attributes.length, getP, getQ, nodeP, nodeQ); +}; +var randomCentroids = function randomCentroids(nodes, k, attributes) { + var ndim = attributes.length; + var min = new Array(ndim); + var max = new Array(ndim); + var centroids = new Array(k); + var centroid = null; + + // Find min, max values for each attribute dimension + for (var i = 0; i < ndim; i++) { + min[i] = nodes.min(attributes[i]).value; + max[i] = nodes.max(attributes[i]).value; + } + + // Build k centroids, each represented as an n-dim feature vector + for (var c = 0; c < k; c++) { + centroid = []; + for (var _i = 0; _i < ndim; _i++) { + centroid[_i] = Math.random() * (max[_i] - min[_i]) + min[_i]; // random initial value + } + + centroids[c] = centroid; + } + return centroids; +}; +var classify = function classify(node, centroids, distance, attributes, type) { + var min = Infinity; + var index = 0; + for (var i = 0; i < centroids.length; i++) { + var dist = getDist(distance, node, centroids[i], attributes, type); + if (dist < min) { + min = dist; + index = i; + } + } + return index; +}; +var buildCluster = function buildCluster(centroid, nodes, assignment) { + var cluster = []; + var node = null; + for (var n = 0; n < nodes.length; n++) { + node = nodes[n]; + if (assignment[node.id()] === centroid) { + //console.log("Node " + node.id() + " is associated with medoid #: " + m); + cluster.push(node); + } + } + return cluster; +}; +var haveValuesConverged = function haveValuesConverged(v1, v2, sensitivityThreshold) { + return Math.abs(v2 - v1) <= sensitivityThreshold; +}; +var haveMatricesConverged = function haveMatricesConverged(v1, v2, sensitivityThreshold) { + for (var i = 0; i < v1.length; i++) { + for (var j = 0; j < v1[i].length; j++) { + var diff = Math.abs(v1[i][j] - v2[i][j]); + if (diff > sensitivityThreshold) { + return false; + } + } + } + return true; +}; +var seenBefore = function seenBefore(node, medoids, n) { + for (var i = 0; i < n; i++) { + if (node === medoids[i]) return true; + } + return false; +}; +var randomMedoids = function randomMedoids(nodes, k) { + var medoids = new Array(k); + + // For small data sets, the probability of medoid conflict is greater, + // so we need to check to see if we've already seen or chose this node before. + if (nodes.length < 50) { + // Randomly select k medoids from the n nodes + for (var i = 0; i < k; i++) { + var node = nodes[Math.floor(Math.random() * nodes.length)]; + + // If we've already chosen this node to be a medoid, don't choose it again (for small data sets). + // Instead choose a different random node. + while (seenBefore(node, medoids, i)) { + node = nodes[Math.floor(Math.random() * nodes.length)]; + } + medoids[i] = node; + } + } else { + // Relatively large data set, so pretty safe to not check and just select random nodes + for (var _i2 = 0; _i2 < k; _i2++) { + medoids[_i2] = nodes[Math.floor(Math.random() * nodes.length)]; + } + } + return medoids; +}; +var findCost = function findCost(potentialNewMedoid, cluster, attributes) { + var cost = 0; + for (var n = 0; n < cluster.length; n++) { + cost += getDist('manhattan', cluster[n], potentialNewMedoid, attributes, 'kMedoids'); + } + return cost; +}; +var kMeans = function kMeans(options) { + var cy = this.cy(); + var nodes = this.nodes(); + var node = null; + + // Set parameters of algorithm: # of clusters, distance metric, etc. + var opts = setOptions$2(options); + + // Begin k-means algorithm + var clusters = new Array(opts.k); + var assignment = {}; + var centroids; + + // Step 1: Initialize centroid positions + if (opts.testMode) { + if (typeof opts.testCentroids === 'number') { + // TODO: implement a seeded random number generator. + opts.testCentroids; + centroids = randomCentroids(nodes, opts.k, opts.attributes); + } else if (_typeof(opts.testCentroids) === 'object') { + centroids = opts.testCentroids; + } else { + centroids = randomCentroids(nodes, opts.k, opts.attributes); + } + } else { + centroids = randomCentroids(nodes, opts.k, opts.attributes); + } + var isStillMoving = true; + var iterations = 0; + while (isStillMoving && iterations < opts.maxIterations) { + // Step 2: Assign nodes to the nearest centroid + for (var n = 0; n < nodes.length; n++) { + node = nodes[n]; + // Determine which cluster this node belongs to: node id => cluster # + assignment[node.id()] = classify(node, centroids, opts.distance, opts.attributes, 'kMeans'); + } + + // Step 3: For each of the k clusters, update its centroid + isStillMoving = false; + for (var c = 0; c < opts.k; c++) { + // Get all nodes that belong to this cluster + var cluster = buildCluster(c, nodes, assignment); + if (cluster.length === 0) { + // If cluster is empty, break out early & move to next cluster + continue; + } + + // Update centroids by calculating avg of all nodes within the cluster. + var ndim = opts.attributes.length; + var centroid = centroids[c]; // [ dim_1, dim_2, dim_3, ... , dim_n ] + var newCentroid = new Array(ndim); + var sum = new Array(ndim); + for (var d = 0; d < ndim; d++) { + sum[d] = 0.0; + for (var i = 0; i < cluster.length; i++) { + node = cluster[i]; + sum[d] += opts.attributes[d](node); + } + newCentroid[d] = sum[d] / cluster.length; + + // Check to see if algorithm has converged, i.e. when centroids no longer change + if (!haveValuesConverged(newCentroid[d], centroid[d], opts.sensitivityThreshold)) { + isStillMoving = true; + } + } + centroids[c] = newCentroid; + clusters[c] = cy.collection(cluster); + } + iterations++; + } + return clusters; +}; +var kMedoids = function kMedoids(options) { + var cy = this.cy(); + var nodes = this.nodes(); + var node = null; + var opts = setOptions$2(options); + + // Begin k-medoids algorithm + var clusters = new Array(opts.k); + var medoids; + var assignment = {}; + var curCost; + var minCosts = new Array(opts.k); // minimum cost configuration for each cluster + + // Step 1: Initialize k medoids + if (opts.testMode) { + if (typeof opts.testCentroids === 'number') ; else if (_typeof(opts.testCentroids) === 'object') { + medoids = opts.testCentroids; + } else { + medoids = randomMedoids(nodes, opts.k); + } + } else { + medoids = randomMedoids(nodes, opts.k); + } + var isStillMoving = true; + var iterations = 0; + while (isStillMoving && iterations < opts.maxIterations) { + // Step 2: Assign nodes to the nearest medoid + for (var n = 0; n < nodes.length; n++) { + node = nodes[n]; + // Determine which cluster this node belongs to: node id => cluster # + assignment[node.id()] = classify(node, medoids, opts.distance, opts.attributes, 'kMedoids'); + } + isStillMoving = false; + // Step 3: For each medoid m, and for each node associated with mediod m, + // select the node with the lowest configuration cost as new medoid. + for (var m = 0; m < medoids.length; m++) { + // Get all nodes that belong to this medoid + var cluster = buildCluster(m, nodes, assignment); + if (cluster.length === 0) { + // If cluster is empty, break out early & move to next cluster + continue; + } + minCosts[m] = findCost(medoids[m], cluster, opts.attributes); // original cost + + // Select different medoid if its configuration has the lowest cost + for (var _n = 0; _n < cluster.length; _n++) { + curCost = findCost(cluster[_n], cluster, opts.attributes); + if (curCost < minCosts[m]) { + minCosts[m] = curCost; + medoids[m] = cluster[_n]; + isStillMoving = true; + } + } + clusters[m] = cy.collection(cluster); + } + iterations++; + } + return clusters; +}; +var updateCentroids = function updateCentroids(centroids, nodes, U, weight, opts) { + var numerator, denominator; + for (var n = 0; n < nodes.length; n++) { + for (var c = 0; c < centroids.length; c++) { + weight[n][c] = Math.pow(U[n][c], opts.m); + } + } + for (var _c = 0; _c < centroids.length; _c++) { + for (var dim = 0; dim < opts.attributes.length; dim++) { + numerator = 0; + denominator = 0; + for (var _n2 = 0; _n2 < nodes.length; _n2++) { + numerator += weight[_n2][_c] * opts.attributes[dim](nodes[_n2]); + denominator += weight[_n2][_c]; + } + centroids[_c][dim] = numerator / denominator; + } + } +}; +var updateMembership = function updateMembership(U, _U, centroids, nodes, opts) { + // Save previous step + for (var i = 0; i < U.length; i++) { + _U[i] = U[i].slice(); + } + var sum, numerator, denominator; + var pow = 2 / (opts.m - 1); + for (var c = 0; c < centroids.length; c++) { + for (var n = 0; n < nodes.length; n++) { + sum = 0; + for (var k = 0; k < centroids.length; k++) { + // against all other centroids + numerator = getDist(opts.distance, nodes[n], centroids[c], opts.attributes, 'cmeans'); + denominator = getDist(opts.distance, nodes[n], centroids[k], opts.attributes, 'cmeans'); + sum += Math.pow(numerator / denominator, pow); + } + U[n][c] = 1 / sum; + } + } +}; +var assign$1 = function assign(nodes, U, opts, cy) { + var clusters = new Array(opts.k); + for (var c = 0; c < clusters.length; c++) { + clusters[c] = []; + } + var max; + var index; + for (var n = 0; n < U.length; n++) { + // for each node (U is N x C matrix) + max = -Infinity; + index = -1; + // Determine which cluster the node is most likely to belong in + for (var _c2 = 0; _c2 < U[0].length; _c2++) { + if (U[n][_c2] > max) { + max = U[n][_c2]; + index = _c2; + } + } + clusters[index].push(nodes[n]); + } + + // Turn every array into a collection of nodes + for (var _c3 = 0; _c3 < clusters.length; _c3++) { + clusters[_c3] = cy.collection(clusters[_c3]); + } + return clusters; +}; +var fuzzyCMeans = function fuzzyCMeans(options) { + var cy = this.cy(); + var nodes = this.nodes(); + var opts = setOptions$2(options); + + // Begin fuzzy c-means algorithm + var clusters; + var centroids; + var U; + var _U; + var weight; + + // Step 1: Initialize letiables. + _U = new Array(nodes.length); + for (var i = 0; i < nodes.length; i++) { + // N x C matrix + _U[i] = new Array(opts.k); + } + U = new Array(nodes.length); + for (var _i3 = 0; _i3 < nodes.length; _i3++) { + // N x C matrix + U[_i3] = new Array(opts.k); + } + for (var _i4 = 0; _i4 < nodes.length; _i4++) { + var total = 0; + for (var j = 0; j < opts.k; j++) { + U[_i4][j] = Math.random(); + total += U[_i4][j]; + } + for (var _j = 0; _j < opts.k; _j++) { + U[_i4][_j] = U[_i4][_j] / total; + } + } + centroids = new Array(opts.k); + for (var _i5 = 0; _i5 < opts.k; _i5++) { + centroids[_i5] = new Array(opts.attributes.length); + } + weight = new Array(nodes.length); + for (var _i6 = 0; _i6 < nodes.length; _i6++) { + // N x C matrix + weight[_i6] = new Array(opts.k); + } + // end init FCM + + var isStillMoving = true; + var iterations = 0; + while (isStillMoving && iterations < opts.maxIterations) { + isStillMoving = false; + + // Step 2: Calculate the centroids for each step. + updateCentroids(centroids, nodes, U, weight, opts); + + // Step 3: Update the partition matrix U. + updateMembership(U, _U, centroids, nodes, opts); + + // Step 4: Check for convergence. + if (!haveMatricesConverged(U, _U, opts.sensitivityThreshold)) { + isStillMoving = true; + } + iterations++; + } + + // Assign nodes to clusters with highest probability. + clusters = assign$1(nodes, U, opts, cy); + return { + clusters: clusters, + degreeOfMembership: U + }; +}; +var kClustering = { + kMeans: kMeans, + kMedoids: kMedoids, + fuzzyCMeans: fuzzyCMeans, + fcm: fuzzyCMeans +}; + +// Implemented by Zoe Xi @zoexi for GSOC 2016 +var defaults$a = defaults$g({ + distance: 'euclidean', + // distance metric to compare nodes + linkage: 'min', + // linkage criterion : how to determine the distance between clusters of nodes + mode: 'threshold', + // mode:'threshold' => clusters must be threshold distance apart + threshold: Infinity, + // the distance threshold + // mode:'dendrogram' => the nodes are organised as leaves in a tree (siblings are close), merging makes clusters + addDendrogram: false, + // whether to add the dendrogram to the graph for viz + dendrogramDepth: 0, + // depth at which dendrogram branches are merged into the returned clusters + attributes: [] // array of attr functions +}); + +var linkageAliases = { + 'single': 'min', + 'complete': 'max' +}; +var setOptions$1 = function setOptions(options) { + var opts = defaults$a(options); + var preferredAlias = linkageAliases[opts.linkage]; + if (preferredAlias != null) { + opts.linkage = preferredAlias; + } + return opts; +}; +var mergeClosest = function mergeClosest(clusters, index, dists, mins, opts) { + // Find two closest clusters from cached mins + var minKey = 0; + var min = Infinity; + var dist; + var attrs = opts.attributes; + var getDist = function getDist(n1, n2) { + return clusteringDistance(opts.distance, attrs.length, function (i) { + return attrs[i](n1); + }, function (i) { + return attrs[i](n2); + }, n1, n2); + }; + for (var i = 0; i < clusters.length; i++) { + var key = clusters[i].key; + var _dist = dists[key][mins[key]]; + if (_dist < min) { + minKey = key; + min = _dist; + } + } + if (opts.mode === 'threshold' && min >= opts.threshold || opts.mode === 'dendrogram' && clusters.length === 1) { + return false; + } + var c1 = index[minKey]; + var c2 = index[mins[minKey]]; + var merged; + + // Merge two closest clusters + if (opts.mode === 'dendrogram') { + merged = { + left: c1, + right: c2, + key: c1.key + }; + } else { + merged = { + value: c1.value.concat(c2.value), + key: c1.key + }; + } + clusters[c1.index] = merged; + clusters.splice(c2.index, 1); + index[c1.key] = merged; + + // Update distances with new merged cluster + for (var _i = 0; _i < clusters.length; _i++) { + var cur = clusters[_i]; + if (c1.key === cur.key) { + dist = Infinity; + } else if (opts.linkage === 'min') { + dist = dists[c1.key][cur.key]; + if (dists[c1.key][cur.key] > dists[c2.key][cur.key]) { + dist = dists[c2.key][cur.key]; + } + } else if (opts.linkage === 'max') { + dist = dists[c1.key][cur.key]; + if (dists[c1.key][cur.key] < dists[c2.key][cur.key]) { + dist = dists[c2.key][cur.key]; + } + } else if (opts.linkage === 'mean') { + dist = (dists[c1.key][cur.key] * c1.size + dists[c2.key][cur.key] * c2.size) / (c1.size + c2.size); + } else { + if (opts.mode === 'dendrogram') dist = getDist(cur.value, c1.value);else dist = getDist(cur.value[0], c1.value[0]); + } + dists[c1.key][cur.key] = dists[cur.key][c1.key] = dist; // distance matrix is symmetric + } + + // Update cached mins + for (var _i2 = 0; _i2 < clusters.length; _i2++) { + var key1 = clusters[_i2].key; + if (mins[key1] === c1.key || mins[key1] === c2.key) { + var _min = key1; + for (var j = 0; j < clusters.length; j++) { + var key2 = clusters[j].key; + if (dists[key1][key2] < dists[key1][_min]) { + _min = key2; + } + } + mins[key1] = _min; + } + clusters[_i2].index = _i2; + } + + // Clean up meta data used for clustering + c1.key = c2.key = c1.index = c2.index = null; + return true; +}; +var getAllChildren = function getAllChildren(root, arr, cy) { + if (!root) return; + if (root.value) { + arr.push(root.value); + } else { + if (root.left) getAllChildren(root.left, arr); + if (root.right) getAllChildren(root.right, arr); + } +}; +var buildDendrogram = function buildDendrogram(root, cy) { + if (!root) return ''; + if (root.left && root.right) { + var leftStr = buildDendrogram(root.left, cy); + var rightStr = buildDendrogram(root.right, cy); + var node = cy.add({ + group: 'nodes', + data: { + id: leftStr + ',' + rightStr + } + }); + cy.add({ + group: 'edges', + data: { + source: leftStr, + target: node.id() + } + }); + cy.add({ + group: 'edges', + data: { + source: rightStr, + target: node.id() + } + }); + return node.id(); + } else if (root.value) { + return root.value.id(); + } +}; +var buildClustersFromTree = function buildClustersFromTree(root, k, cy) { + if (!root) return []; + var left = [], + right = [], + leaves = []; + if (k === 0) { + // don't cut tree, simply return all nodes as 1 single cluster + if (root.left) getAllChildren(root.left, left); + if (root.right) getAllChildren(root.right, right); + leaves = left.concat(right); + return [cy.collection(leaves)]; + } else if (k === 1) { + // cut at root + + if (root.value) { + // leaf node + return [cy.collection(root.value)]; + } else { + if (root.left) getAllChildren(root.left, left); + if (root.right) getAllChildren(root.right, right); + return [cy.collection(left), cy.collection(right)]; + } + } else { + if (root.value) { + return [cy.collection(root.value)]; + } else { + if (root.left) left = buildClustersFromTree(root.left, k - 1, cy); + if (root.right) right = buildClustersFromTree(root.right, k - 1, cy); + return left.concat(right); + } + } +}; + +var hierarchicalClustering = function hierarchicalClustering(options) { + var cy = this.cy(); + var nodes = this.nodes(); + + // Set parameters of algorithm: linkage type, distance metric, etc. + var opts = setOptions$1(options); + var attrs = opts.attributes; + var getDist = function getDist(n1, n2) { + return clusteringDistance(opts.distance, attrs.length, function (i) { + return attrs[i](n1); + }, function (i) { + return attrs[i](n2); + }, n1, n2); + }; + + // Begin hierarchical algorithm + var clusters = []; + var dists = []; // distances between each pair of clusters + var mins = []; // closest cluster for each cluster + var index = []; // hash of all clusters by key + + // In agglomerative (bottom-up) clustering, each node starts as its own cluster + for (var n = 0; n < nodes.length; n++) { + var cluster = { + value: opts.mode === 'dendrogram' ? nodes[n] : [nodes[n]], + key: n, + index: n + }; + clusters[n] = cluster; + index[n] = cluster; + dists[n] = []; + mins[n] = 0; + } + + // Calculate the distance between each pair of clusters + for (var i = 0; i < clusters.length; i++) { + for (var j = 0; j <= i; j++) { + var dist = void 0; + if (opts.mode === 'dendrogram') { + // modes store cluster values differently + dist = i === j ? Infinity : getDist(clusters[i].value, clusters[j].value); + } else { + dist = i === j ? Infinity : getDist(clusters[i].value[0], clusters[j].value[0]); + } + dists[i][j] = dist; + dists[j][i] = dist; + if (dist < dists[i][mins[i]]) { + mins[i] = j; // Cache mins: closest cluster to cluster i is cluster j + } + } + } + + // Find the closest pair of clusters and merge them into a single cluster. + // Update distances between new cluster and each of the old clusters, and loop until threshold reached. + var merged = mergeClosest(clusters, index, dists, mins, opts); + while (merged) { + merged = mergeClosest(clusters, index, dists, mins, opts); + } + var retClusters; + + // Dendrogram mode builds the hierarchy and adds intermediary nodes + edges + // in addition to returning the clusters. + if (opts.mode === 'dendrogram') { + retClusters = buildClustersFromTree(clusters[0], opts.dendrogramDepth, cy); + if (opts.addDendrogram) buildDendrogram(clusters[0], cy); + } else { + // Regular mode simply returns the clusters + + retClusters = new Array(clusters.length); + clusters.forEach(function (cluster, i) { + // Clean up meta data used for clustering + cluster.key = cluster.index = null; + retClusters[i] = cy.collection(cluster.value); + }); + } + return retClusters; +}; +var hierarchicalClustering$1 = { + hierarchicalClustering: hierarchicalClustering, + hca: hierarchicalClustering +}; + +// Implemented by Zoe Xi @zoexi for GSOC 2016 +var defaults$9 = defaults$g({ + distance: 'euclidean', + // distance metric to compare attributes between two nodes + preference: 'median', + // suitability of a data point to serve as an exemplar + damping: 0.8, + // damping factor between [0.5, 1) + maxIterations: 1000, + // max number of iterations to run + minIterations: 100, + // min number of iterations to run in order for clustering to stop + attributes: [// functions to quantify the similarity between any two points + // e.g. node => node.data('weight') + ] +}); +var setOptions = function setOptions(options) { + var dmp = options.damping; + var pref = options.preference; + if (!(0.5 <= dmp && dmp < 1)) { + error("Damping must range on [0.5, 1). Got: ".concat(dmp)); + } + var validPrefs = ['median', 'mean', 'min', 'max']; + if (!(validPrefs.some(function (v) { + return v === pref; + }) || number$1(pref))) { + error("Preference must be one of [".concat(validPrefs.map(function (p) { + return "'".concat(p, "'"); + }).join(', '), "] or a number. Got: ").concat(pref)); + } + return defaults$9(options); +}; + +var getSimilarity = function getSimilarity(type, n1, n2, attributes) { + var attr = function attr(n, i) { + return attributes[i](n); + }; + + // nb negative because similarity should have an inverse relationship to distance + return -clusteringDistance(type, attributes.length, function (i) { + return attr(n1, i); + }, function (i) { + return attr(n2, i); + }, n1, n2); +}; +var getPreference = function getPreference(S, preference) { + // larger preference = greater # of clusters + var p = null; + if (preference === 'median') { + p = median(S); + } else if (preference === 'mean') { + p = mean(S); + } else if (preference === 'min') { + p = min(S); + } else if (preference === 'max') { + p = max(S); + } else { + // Custom preference number, as set by user + p = preference; + } + return p; +}; +var findExemplars = function findExemplars(n, R, A) { + var indices = []; + for (var i = 0; i < n; i++) { + if (R[i * n + i] + A[i * n + i] > 0) { + indices.push(i); + } + } + return indices; +}; +var assignClusters = function assignClusters(n, S, exemplars) { + var clusters = []; + for (var i = 0; i < n; i++) { + var index = -1; + var max = -Infinity; + for (var ei = 0; ei < exemplars.length; ei++) { + var e = exemplars[ei]; + if (S[i * n + e] > max) { + index = e; + max = S[i * n + e]; + } + } + if (index > 0) { + clusters.push(index); + } + } + for (var _ei = 0; _ei < exemplars.length; _ei++) { + clusters[exemplars[_ei]] = exemplars[_ei]; + } + return clusters; +}; +var assign = function assign(n, S, exemplars) { + var clusters = assignClusters(n, S, exemplars); + for (var ei = 0; ei < exemplars.length; ei++) { + var ii = []; + for (var c = 0; c < clusters.length; c++) { + if (clusters[c] === exemplars[ei]) { + ii.push(c); + } + } + var maxI = -1; + var maxSum = -Infinity; + for (var i = 0; i < ii.length; i++) { + var sum = 0; + for (var j = 0; j < ii.length; j++) { + sum += S[ii[j] * n + ii[i]]; + } + if (sum > maxSum) { + maxI = i; + maxSum = sum; + } + } + exemplars[ei] = ii[maxI]; + } + clusters = assignClusters(n, S, exemplars); + return clusters; +}; +var affinityPropagation = function affinityPropagation(options) { + var cy = this.cy(); + var nodes = this.nodes(); + var opts = setOptions(options); + + // Map each node to its position in node array + var id2position = {}; + for (var i = 0; i < nodes.length; i++) { + id2position[nodes[i].id()] = i; + } + + // Begin affinity propagation algorithm + + var n; // number of data points + var n2; // size of matrices + var S; // similarity matrix (1D array) + var p; // preference/suitability of a data point to serve as an exemplar + var R; // responsibility matrix (1D array) + var A; // availability matrix (1D array) + + n = nodes.length; + n2 = n * n; + + // Initialize and build S similarity matrix + S = new Array(n2); + for (var _i = 0; _i < n2; _i++) { + S[_i] = -Infinity; // for cases where two data points shouldn't be linked together + } + + for (var _i2 = 0; _i2 < n; _i2++) { + for (var j = 0; j < n; j++) { + if (_i2 !== j) { + S[_i2 * n + j] = getSimilarity(opts.distance, nodes[_i2], nodes[j], opts.attributes); + } + } + } + + // Place preferences on the diagonal of S + p = getPreference(S, opts.preference); + for (var _i3 = 0; _i3 < n; _i3++) { + S[_i3 * n + _i3] = p; + } + + // Initialize R responsibility matrix + R = new Array(n2); + for (var _i4 = 0; _i4 < n2; _i4++) { + R[_i4] = 0.0; + } + + // Initialize A availability matrix + A = new Array(n2); + for (var _i5 = 0; _i5 < n2; _i5++) { + A[_i5] = 0.0; + } + var old = new Array(n); + var Rp = new Array(n); + var se = new Array(n); + for (var _i6 = 0; _i6 < n; _i6++) { + old[_i6] = 0.0; + Rp[_i6] = 0.0; + se[_i6] = 0; + } + var e = new Array(n * opts.minIterations); + for (var _i7 = 0; _i7 < e.length; _i7++) { + e[_i7] = 0; + } + var iter; + for (iter = 0; iter < opts.maxIterations; iter++) { + // main algorithmic loop + + // Update R responsibility matrix + for (var _i8 = 0; _i8 < n; _i8++) { + var max = -Infinity, + max2 = -Infinity, + maxI = -1, + AS = 0.0; + for (var _j = 0; _j < n; _j++) { + old[_j] = R[_i8 * n + _j]; + AS = A[_i8 * n + _j] + S[_i8 * n + _j]; + if (AS >= max) { + max2 = max; + max = AS; + maxI = _j; + } else if (AS > max2) { + max2 = AS; + } + } + for (var _j2 = 0; _j2 < n; _j2++) { + R[_i8 * n + _j2] = (1 - opts.damping) * (S[_i8 * n + _j2] - max) + opts.damping * old[_j2]; + } + R[_i8 * n + maxI] = (1 - opts.damping) * (S[_i8 * n + maxI] - max2) + opts.damping * old[maxI]; + } + + // Update A availability matrix + for (var _i9 = 0; _i9 < n; _i9++) { + var sum = 0; + for (var _j3 = 0; _j3 < n; _j3++) { + old[_j3] = A[_j3 * n + _i9]; + Rp[_j3] = Math.max(0, R[_j3 * n + _i9]); + sum += Rp[_j3]; + } + sum -= Rp[_i9]; + Rp[_i9] = R[_i9 * n + _i9]; + sum += Rp[_i9]; + for (var _j4 = 0; _j4 < n; _j4++) { + A[_j4 * n + _i9] = (1 - opts.damping) * Math.min(0, sum - Rp[_j4]) + opts.damping * old[_j4]; + } + A[_i9 * n + _i9] = (1 - opts.damping) * (sum - Rp[_i9]) + opts.damping * old[_i9]; + } + + // Check for convergence + var K = 0; + for (var _i10 = 0; _i10 < n; _i10++) { + var E = A[_i10 * n + _i10] + R[_i10 * n + _i10] > 0 ? 1 : 0; + e[iter % opts.minIterations * n + _i10] = E; + K += E; + } + if (K > 0 && (iter >= opts.minIterations - 1 || iter == opts.maxIterations - 1)) { + var _sum = 0; + for (var _i11 = 0; _i11 < n; _i11++) { + se[_i11] = 0; + for (var _j5 = 0; _j5 < opts.minIterations; _j5++) { + se[_i11] += e[_j5 * n + _i11]; + } + if (se[_i11] === 0 || se[_i11] === opts.minIterations) { + _sum++; + } + } + if (_sum === n) { + // then we have convergence + break; + } + } + } + + // Identify exemplars (cluster centers) + var exemplarsIndices = findExemplars(n, R, A); + + // Assign nodes to clusters + var clusterIndices = assign(n, S, exemplarsIndices); + var clusters = {}; + for (var c = 0; c < exemplarsIndices.length; c++) { + clusters[exemplarsIndices[c]] = []; + } + for (var _i12 = 0; _i12 < nodes.length; _i12++) { + var pos = id2position[nodes[_i12].id()]; + var clusterIndex = clusterIndices[pos]; + if (clusterIndex != null) { + // the node may have not been assigned a cluster if no valid attributes were specified + clusters[clusterIndex].push(nodes[_i12]); + } + } + var retClusters = new Array(exemplarsIndices.length); + for (var _c = 0; _c < exemplarsIndices.length; _c++) { + retClusters[_c] = cy.collection(clusters[exemplarsIndices[_c]]); + } + return retClusters; +}; +var affinityPropagation$1 = { + affinityPropagation: affinityPropagation, + ap: affinityPropagation +}; + +var hierholzerDefaults = defaults$g({ + root: undefined, + directed: false +}); +var elesfn$k = { + hierholzer: function hierholzer(options) { + if (!plainObject(options)) { + var args = arguments; + options = { + root: args[0], + directed: args[1] + }; + } + var _hierholzerDefaults = hierholzerDefaults(options), + root = _hierholzerDefaults.root, + directed = _hierholzerDefaults.directed; + var eles = this; + var dflag = false; + var oddIn; + var oddOut; + var startVertex; + if (root) startVertex = string(root) ? this.filter(root)[0].id() : root[0].id(); + var nodes = {}; + var edges = {}; + if (directed) { + eles.forEach(function (ele) { + var id = ele.id(); + if (ele.isNode()) { + var ind = ele.indegree(true); + var outd = ele.outdegree(true); + var d1 = ind - outd; + var d2 = outd - ind; + if (d1 == 1) { + if (oddIn) dflag = true;else oddIn = id; + } else if (d2 == 1) { + if (oddOut) dflag = true;else oddOut = id; + } else if (d2 > 1 || d1 > 1) { + dflag = true; + } + nodes[id] = []; + ele.outgoers().forEach(function (e) { + if (e.isEdge()) nodes[id].push(e.id()); + }); + } else { + edges[id] = [undefined, ele.target().id()]; + } + }); + } else { + eles.forEach(function (ele) { + var id = ele.id(); + if (ele.isNode()) { + var d = ele.degree(true); + if (d % 2) { + if (!oddIn) oddIn = id;else if (!oddOut) oddOut = id;else dflag = true; + } + nodes[id] = []; + ele.connectedEdges().forEach(function (e) { + return nodes[id].push(e.id()); + }); + } else { + edges[id] = [ele.source().id(), ele.target().id()]; + } + }); + } + var result = { + found: false, + trail: undefined + }; + if (dflag) return result;else if (oddOut && oddIn) { + if (directed) { + if (startVertex && oddOut != startVertex) { + return result; + } + startVertex = oddOut; + } else { + if (startVertex && oddOut != startVertex && oddIn != startVertex) { + return result; + } else if (!startVertex) { + startVertex = oddOut; + } + } + } else { + if (!startVertex) startVertex = eles[0].id(); + } + var walk = function walk(v) { + var currentNode = v; + var subtour = [v]; + var adj, adjTail, adjHead; + while (nodes[currentNode].length) { + adj = nodes[currentNode].shift(); + adjTail = edges[adj][0]; + adjHead = edges[adj][1]; + if (currentNode != adjHead) { + nodes[adjHead] = nodes[adjHead].filter(function (e) { + return e != adj; + }); + currentNode = adjHead; + } else if (!directed && currentNode != adjTail) { + nodes[adjTail] = nodes[adjTail].filter(function (e) { + return e != adj; + }); + currentNode = adjTail; + } + subtour.unshift(adj); + subtour.unshift(currentNode); + } + return subtour; + }; + var trail = []; + var subtour = []; + subtour = walk(startVertex); + while (subtour.length != 1) { + if (nodes[subtour[0]].length == 0) { + trail.unshift(eles.getElementById(subtour.shift())); + trail.unshift(eles.getElementById(subtour.shift())); + } else { + subtour = walk(subtour.shift()).concat(subtour); + } + } + trail.unshift(eles.getElementById(subtour.shift())); // final node + + for (var d in nodes) { + if (nodes[d].length) { + return result; + } + } + result.found = true; + result.trail = this.spawn(trail, true); + return result; + } +}; + +var hopcroftTarjanBiconnected = function hopcroftTarjanBiconnected() { + var eles = this; + var nodes = {}; + var id = 0; + var edgeCount = 0; + var components = []; + var stack = []; + var visitedEdges = {}; + var buildComponent = function buildComponent(x, y) { + var i = stack.length - 1; + var cutset = []; + var component = eles.spawn(); + while (stack[i].x != x || stack[i].y != y) { + cutset.push(stack.pop().edge); + i--; + } + cutset.push(stack.pop().edge); + cutset.forEach(function (edge) { + var connectedNodes = edge.connectedNodes().intersection(eles); + component.merge(edge); + connectedNodes.forEach(function (node) { + var nodeId = node.id(); + var connectedEdges = node.connectedEdges().intersection(eles); + component.merge(node); + if (!nodes[nodeId].cutVertex) { + component.merge(connectedEdges); + } else { + component.merge(connectedEdges.filter(function (edge) { + return edge.isLoop(); + })); + } + }); + }); + components.push(component); + }; + var biconnectedSearch = function biconnectedSearch(root, currentNode, parent) { + if (root === parent) edgeCount += 1; + nodes[currentNode] = { + id: id, + low: id++, + cutVertex: false + }; + var edges = eles.getElementById(currentNode).connectedEdges().intersection(eles); + if (edges.size() === 0) { + components.push(eles.spawn(eles.getElementById(currentNode))); + } else { + var sourceId, targetId, otherNodeId, edgeId; + edges.forEach(function (edge) { + sourceId = edge.source().id(); + targetId = edge.target().id(); + otherNodeId = sourceId === currentNode ? targetId : sourceId; + if (otherNodeId !== parent) { + edgeId = edge.id(); + if (!visitedEdges[edgeId]) { + visitedEdges[edgeId] = true; + stack.push({ + x: currentNode, + y: otherNodeId, + edge: edge + }); + } + if (!(otherNodeId in nodes)) { + biconnectedSearch(root, otherNodeId, currentNode); + nodes[currentNode].low = Math.min(nodes[currentNode].low, nodes[otherNodeId].low); + if (nodes[currentNode].id <= nodes[otherNodeId].low) { + nodes[currentNode].cutVertex = true; + buildComponent(currentNode, otherNodeId); + } + } else { + nodes[currentNode].low = Math.min(nodes[currentNode].low, nodes[otherNodeId].id); + } + } + }); + } + }; + eles.forEach(function (ele) { + if (ele.isNode()) { + var nodeId = ele.id(); + if (!(nodeId in nodes)) { + edgeCount = 0; + biconnectedSearch(nodeId, nodeId); + nodes[nodeId].cutVertex = edgeCount > 1; + } + } + }); + var cutVertices = Object.keys(nodes).filter(function (id) { + return nodes[id].cutVertex; + }).map(function (id) { + return eles.getElementById(id); + }); + return { + cut: eles.spawn(cutVertices), + components: components + }; +}; +var hopcroftTarjanBiconnected$1 = { + hopcroftTarjanBiconnected: hopcroftTarjanBiconnected, + htbc: hopcroftTarjanBiconnected, + htb: hopcroftTarjanBiconnected, + hopcroftTarjanBiconnectedComponents: hopcroftTarjanBiconnected +}; + +var tarjanStronglyConnected = function tarjanStronglyConnected() { + var eles = this; + var nodes = {}; + var index = 0; + var components = []; + var stack = []; + var cut = eles.spawn(eles); + var stronglyConnectedSearch = function stronglyConnectedSearch(sourceNodeId) { + stack.push(sourceNodeId); + nodes[sourceNodeId] = { + index: index, + low: index++, + explored: false + }; + var connectedEdges = eles.getElementById(sourceNodeId).connectedEdges().intersection(eles); + connectedEdges.forEach(function (edge) { + var targetNodeId = edge.target().id(); + if (targetNodeId !== sourceNodeId) { + if (!(targetNodeId in nodes)) { + stronglyConnectedSearch(targetNodeId); + } + if (!nodes[targetNodeId].explored) { + nodes[sourceNodeId].low = Math.min(nodes[sourceNodeId].low, nodes[targetNodeId].low); + } + } + }); + if (nodes[sourceNodeId].index === nodes[sourceNodeId].low) { + var componentNodes = eles.spawn(); + for (;;) { + var nodeId = stack.pop(); + componentNodes.merge(eles.getElementById(nodeId)); + nodes[nodeId].low = nodes[sourceNodeId].index; + nodes[nodeId].explored = true; + if (nodeId === sourceNodeId) { + break; + } + } + var componentEdges = componentNodes.edgesWith(componentNodes); + var component = componentNodes.merge(componentEdges); + components.push(component); + cut = cut.difference(component); + } + }; + eles.forEach(function (ele) { + if (ele.isNode()) { + var nodeId = ele.id(); + if (!(nodeId in nodes)) { + stronglyConnectedSearch(nodeId); + } + } + }); + return { + cut: cut, + components: components + }; +}; +var tarjanStronglyConnected$1 = { + tarjanStronglyConnected: tarjanStronglyConnected, + tsc: tarjanStronglyConnected, + tscc: tarjanStronglyConnected, + tarjanStronglyConnectedComponents: tarjanStronglyConnected +}; + +var elesfn$j = {}; +[elesfn$v, elesfn$u, elesfn$t, elesfn$s, elesfn$r, elesfn$q, elesfn$p, elesfn$o, elesfn$n, elesfn$m, elesfn$l, markovClustering$1, kClustering, hierarchicalClustering$1, affinityPropagation$1, elesfn$k, hopcroftTarjanBiconnected$1, tarjanStronglyConnected$1].forEach(function (props) { + extend(elesfn$j, props); +}); + +/*! +Embeddable Minimum Strictly-Compliant Promises/A+ 1.1.1 Thenable +Copyright (c) 2013-2014 Ralf S. Engelschall (http://engelschall.com) +Licensed under The MIT License (http://opensource.org/licenses/MIT) +*/ + +/* promise states [Promises/A+ 2.1] */ +var STATE_PENDING = 0; /* [Promises/A+ 2.1.1] */ +var STATE_FULFILLED = 1; /* [Promises/A+ 2.1.2] */ +var STATE_REJECTED = 2; /* [Promises/A+ 2.1.3] */ + +/* promise object constructor */ +var api = function api(executor) { + /* optionally support non-constructor/plain-function call */ + if (!(this instanceof api)) return new api(executor); + + /* initialize object */ + this.id = 'Thenable/1.0.7'; + this.state = STATE_PENDING; /* initial state */ + this.fulfillValue = undefined; /* initial value */ /* [Promises/A+ 1.3, 2.1.2.2] */ + this.rejectReason = undefined; /* initial reason */ /* [Promises/A+ 1.5, 2.1.3.2] */ + this.onFulfilled = []; /* initial handlers */ + this.onRejected = []; /* initial handlers */ + + /* provide optional information-hiding proxy */ + this.proxy = { + then: this.then.bind(this) + }; + + /* support optional executor function */ + if (typeof executor === 'function') executor.call(this, this.fulfill.bind(this), this.reject.bind(this)); +}; + +/* promise API methods */ +api.prototype = { + /* promise resolving methods */ + fulfill: function fulfill(value) { + return deliver(this, STATE_FULFILLED, 'fulfillValue', value); + }, + reject: function reject(value) { + return deliver(this, STATE_REJECTED, 'rejectReason', value); + }, + /* "The then Method" [Promises/A+ 1.1, 1.2, 2.2] */ + then: function then(onFulfilled, onRejected) { + var curr = this; + var next = new api(); /* [Promises/A+ 2.2.7] */ + curr.onFulfilled.push(resolver(onFulfilled, next, 'fulfill')); /* [Promises/A+ 2.2.2/2.2.6] */ + curr.onRejected.push(resolver(onRejected, next, 'reject')); /* [Promises/A+ 2.2.3/2.2.6] */ + execute(curr); + return next.proxy; /* [Promises/A+ 2.2.7, 3.3] */ + } +}; + +/* deliver an action */ +var deliver = function deliver(curr, state, name, value) { + if (curr.state === STATE_PENDING) { + curr.state = state; /* [Promises/A+ 2.1.2.1, 2.1.3.1] */ + curr[name] = value; /* [Promises/A+ 2.1.2.2, 2.1.3.2] */ + execute(curr); + } + return curr; +}; + +/* execute all handlers */ +var execute = function execute(curr) { + if (curr.state === STATE_FULFILLED) execute_handlers(curr, 'onFulfilled', curr.fulfillValue);else if (curr.state === STATE_REJECTED) execute_handlers(curr, 'onRejected', curr.rejectReason); +}; + +/* execute particular set of handlers */ +var execute_handlers = function execute_handlers(curr, name, value) { + /* global setImmediate: true */ + /* global setTimeout: true */ + + /* short-circuit processing */ + if (curr[name].length === 0) return; + + /* iterate over all handlers, exactly once */ + var handlers = curr[name]; + curr[name] = []; /* [Promises/A+ 2.2.2.3, 2.2.3.3] */ + var func = function func() { + for (var i = 0; i < handlers.length; i++) { + handlers[i](value); + } /* [Promises/A+ 2.2.5] */ + }; + + /* execute procedure asynchronously */ /* [Promises/A+ 2.2.4, 3.1] */ + if (typeof setImmediate === 'function') setImmediate(func);else setTimeout(func, 0); +}; + +/* generate a resolver function */ +var resolver = function resolver(cb, next, method) { + return function (value) { + if (typeof cb !== 'function') /* [Promises/A+ 2.2.1, 2.2.7.3, 2.2.7.4] */ + next[method].call(next, value); /* [Promises/A+ 2.2.7.3, 2.2.7.4] */else { + var result; + try { + result = cb(value); + } /* [Promises/A+ 2.2.2.1, 2.2.3.1, 2.2.5, 3.2] */ catch (e) { + next.reject(e); /* [Promises/A+ 2.2.7.2] */ + return; + } + resolve(next, result); /* [Promises/A+ 2.2.7.1] */ + } + }; +}; + +/* "Promise Resolution Procedure" */ /* [Promises/A+ 2.3] */ +var resolve = function resolve(promise, x) { + /* sanity check arguments */ /* [Promises/A+ 2.3.1] */ + if (promise === x || promise.proxy === x) { + promise.reject(new TypeError('cannot resolve promise with itself')); + return; + } + + /* surgically check for a "then" method + (mainly to just call the "getter" of "then" only once) */ + var then; + if (_typeof(x) === 'object' && x !== null || typeof x === 'function') { + try { + then = x.then; + } /* [Promises/A+ 2.3.3.1, 3.5] */ catch (e) { + promise.reject(e); /* [Promises/A+ 2.3.3.2] */ + return; + } + } + + /* handle own Thenables [Promises/A+ 2.3.2] + and similar "thenables" [Promises/A+ 2.3.3] */ + if (typeof then === 'function') { + var resolved = false; + try { + /* call retrieved "then" method */ /* [Promises/A+ 2.3.3.3] */ + then.call(x, /* resolvePromise */ /* [Promises/A+ 2.3.3.3.1] */ + function (y) { + if (resolved) return; + resolved = true; /* [Promises/A+ 2.3.3.3.3] */ + if (y === x) /* [Promises/A+ 3.6] */ + promise.reject(new TypeError('circular thenable chain'));else resolve(promise, y); + }, /* rejectPromise */ /* [Promises/A+ 2.3.3.3.2] */ + function (r) { + if (resolved) return; + resolved = true; /* [Promises/A+ 2.3.3.3.3] */ + promise.reject(r); + }); + } catch (e) { + if (!resolved) /* [Promises/A+ 2.3.3.3.3] */ + promise.reject(e); /* [Promises/A+ 2.3.3.3.4] */ + } + + return; + } + + /* handle other values */ + promise.fulfill(x); /* [Promises/A+ 2.3.4, 2.3.3.4] */ +}; + +// so we always have Promise.all() +api.all = function (ps) { + return new api(function (resolveAll, rejectAll) { + var vals = new Array(ps.length); + var doneCount = 0; + var fulfill = function fulfill(i, val) { + vals[i] = val; + doneCount++; + if (doneCount === ps.length) { + resolveAll(vals); + } + }; + for (var i = 0; i < ps.length; i++) { + (function (i) { + var p = ps[i]; + var isPromise = p != null && p.then != null; + if (isPromise) { + p.then(function (val) { + fulfill(i, val); + }, function (err) { + rejectAll(err); + }); + } else { + var val = p; + fulfill(i, val); + } + })(i); + } + }); +}; +api.resolve = function (val) { + return new api(function (resolve, reject) { + resolve(val); + }); +}; +api.reject = function (val) { + return new api(function (resolve, reject) { + reject(val); + }); +}; +var Promise$1 = typeof Promise !== 'undefined' ? Promise : api; // eslint-disable-line no-undef + +var Animation = function Animation(target, opts, opts2) { + var isCore = core(target); + var isEle = !isCore; + var _p = this._private = extend({ + duration: 1000 + }, opts, opts2); + _p.target = target; + _p.style = _p.style || _p.css; + _p.started = false; + _p.playing = false; + _p.hooked = false; + _p.applying = false; + _p.progress = 0; + _p.completes = []; + _p.frames = []; + if (_p.complete && fn$6(_p.complete)) { + _p.completes.push(_p.complete); + } + if (isEle) { + var pos = target.position(); + _p.startPosition = _p.startPosition || { + x: pos.x, + y: pos.y + }; + _p.startStyle = _p.startStyle || target.cy().style().getAnimationStartStyle(target, _p.style); + } + if (isCore) { + var pan = target.pan(); + _p.startPan = { + x: pan.x, + y: pan.y + }; + _p.startZoom = target.zoom(); + } + + // for future timeline/animations impl + this.length = 1; + this[0] = this; +}; +var anifn = Animation.prototype; +extend(anifn, { + instanceString: function instanceString() { + return 'animation'; + }, + hook: function hook() { + var _p = this._private; + if (!_p.hooked) { + // add to target's animation queue + var q; + var tAni = _p.target._private.animation; + if (_p.queue) { + q = tAni.queue; + } else { + q = tAni.current; + } + q.push(this); + + // add to the animation loop pool + if (elementOrCollection(_p.target)) { + _p.target.cy().addToAnimationPool(_p.target); + } + _p.hooked = true; + } + return this; + }, + play: function play() { + var _p = this._private; + + // autorewind + if (_p.progress === 1) { + _p.progress = 0; + } + _p.playing = true; + _p.started = false; // needs to be started by animation loop + _p.stopped = false; + this.hook(); + + // the animation loop will start the animation... + + return this; + }, + playing: function playing() { + return this._private.playing; + }, + apply: function apply() { + var _p = this._private; + _p.applying = true; + _p.started = false; // needs to be started by animation loop + _p.stopped = false; + this.hook(); + + // the animation loop will apply the animation at this progress + + return this; + }, + applying: function applying() { + return this._private.applying; + }, + pause: function pause() { + var _p = this._private; + _p.playing = false; + _p.started = false; + return this; + }, + stop: function stop() { + var _p = this._private; + _p.playing = false; + _p.started = false; + _p.stopped = true; // to be removed from animation queues + + return this; + }, + rewind: function rewind() { + return this.progress(0); + }, + fastforward: function fastforward() { + return this.progress(1); + }, + time: function time(t) { + var _p = this._private; + if (t === undefined) { + return _p.progress * _p.duration; + } else { + return this.progress(t / _p.duration); + } + }, + progress: function progress(p) { + var _p = this._private; + var wasPlaying = _p.playing; + if (p === undefined) { + return _p.progress; + } else { + if (wasPlaying) { + this.pause(); + } + _p.progress = p; + _p.started = false; + if (wasPlaying) { + this.play(); + } + } + return this; + }, + completed: function completed() { + return this._private.progress === 1; + }, + reverse: function reverse() { + var _p = this._private; + var wasPlaying = _p.playing; + if (wasPlaying) { + this.pause(); + } + _p.progress = 1 - _p.progress; + _p.started = false; + var swap = function swap(a, b) { + var _pa = _p[a]; + if (_pa == null) { + return; + } + _p[a] = _p[b]; + _p[b] = _pa; + }; + swap('zoom', 'startZoom'); + swap('pan', 'startPan'); + swap('position', 'startPosition'); + + // swap styles + if (_p.style) { + for (var i = 0; i < _p.style.length; i++) { + var prop = _p.style[i]; + var name = prop.name; + var startStyleProp = _p.startStyle[name]; + _p.startStyle[name] = prop; + _p.style[i] = startStyleProp; + } + } + if (wasPlaying) { + this.play(); + } + return this; + }, + promise: function promise(type) { + var _p = this._private; + var arr; + switch (type) { + case 'frame': + arr = _p.frames; + break; + default: + case 'complete': + case 'completed': + arr = _p.completes; + } + return new Promise$1(function (resolve, reject) { + arr.push(function () { + resolve(); + }); + }); + } +}); +anifn.complete = anifn.completed; +anifn.run = anifn.play; +anifn.running = anifn.playing; + +var define$3 = { + animated: function animated() { + return function animatedImpl() { + var self = this; + var selfIsArrayLike = self.length !== undefined; + var all = selfIsArrayLike ? self : [self]; // put in array if not array-like + var cy = this._private.cy || this; + if (!cy.styleEnabled()) { + return false; + } + var ele = all[0]; + if (ele) { + return ele._private.animation.current.length > 0; + } + }; + }, + // animated + + clearQueue: function clearQueue() { + return function clearQueueImpl() { + var self = this; + var selfIsArrayLike = self.length !== undefined; + var all = selfIsArrayLike ? self : [self]; // put in array if not array-like + var cy = this._private.cy || this; + if (!cy.styleEnabled()) { + return this; + } + for (var i = 0; i < all.length; i++) { + var ele = all[i]; + ele._private.animation.queue = []; + } + return this; + }; + }, + // clearQueue + + delay: function delay() { + return function delayImpl(time, complete) { + var cy = this._private.cy || this; + if (!cy.styleEnabled()) { + return this; + } + return this.animate({ + delay: time, + duration: time, + complete: complete + }); + }; + }, + // delay + + delayAnimation: function delayAnimation() { + return function delayAnimationImpl(time, complete) { + var cy = this._private.cy || this; + if (!cy.styleEnabled()) { + return this; + } + return this.animation({ + delay: time, + duration: time, + complete: complete + }); + }; + }, + // delay + + animation: function animation() { + return function animationImpl(properties, params) { + var self = this; + var selfIsArrayLike = self.length !== undefined; + var all = selfIsArrayLike ? self : [self]; // put in array if not array-like + var cy = this._private.cy || this; + var isCore = !selfIsArrayLike; + var isEles = !isCore; + if (!cy.styleEnabled()) { + return this; + } + var style = cy.style(); + properties = extend({}, properties, params); + var propertiesEmpty = Object.keys(properties).length === 0; + if (propertiesEmpty) { + return new Animation(all[0], properties); // nothing to animate + } + + if (properties.duration === undefined) { + properties.duration = 400; + } + switch (properties.duration) { + case 'slow': + properties.duration = 600; + break; + case 'fast': + properties.duration = 200; + break; + } + if (isEles) { + properties.style = style.getPropsList(properties.style || properties.css); + properties.css = undefined; + } + if (isEles && properties.renderedPosition != null) { + var rpos = properties.renderedPosition; + var pan = cy.pan(); + var zoom = cy.zoom(); + properties.position = renderedToModelPosition(rpos, zoom, pan); + } + + // override pan w/ panBy if set + if (isCore && properties.panBy != null) { + var panBy = properties.panBy; + var cyPan = cy.pan(); + properties.pan = { + x: cyPan.x + panBy.x, + y: cyPan.y + panBy.y + }; + } + + // override pan w/ center if set + var center = properties.center || properties.centre; + if (isCore && center != null) { + var centerPan = cy.getCenterPan(center.eles, properties.zoom); + if (centerPan != null) { + properties.pan = centerPan; + } + } + + // override pan & zoom w/ fit if set + if (isCore && properties.fit != null) { + var fit = properties.fit; + var fitVp = cy.getFitViewport(fit.eles || fit.boundingBox, fit.padding); + if (fitVp != null) { + properties.pan = fitVp.pan; + properties.zoom = fitVp.zoom; + } + } + + // override zoom (& potentially pan) w/ zoom obj if set + if (isCore && plainObject(properties.zoom)) { + var vp = cy.getZoomedViewport(properties.zoom); + if (vp != null) { + if (vp.zoomed) { + properties.zoom = vp.zoom; + } + if (vp.panned) { + properties.pan = vp.pan; + } + } else { + properties.zoom = null; // an inavalid zoom (e.g. no delta) gets automatically destroyed + } + } + + return new Animation(all[0], properties); + }; + }, + // animate + + animate: function animate() { + return function animateImpl(properties, params) { + var self = this; + var selfIsArrayLike = self.length !== undefined; + var all = selfIsArrayLike ? self : [self]; // put in array if not array-like + var cy = this._private.cy || this; + if (!cy.styleEnabled()) { + return this; + } + if (params) { + properties = extend({}, properties, params); + } + + // manually hook and run the animation + for (var i = 0; i < all.length; i++) { + var ele = all[i]; + var queue = ele.animated() && (properties.queue === undefined || properties.queue); + var ani = ele.animation(properties, queue ? { + queue: true + } : undefined); + ani.play(); + } + return this; // chaining + }; + }, + + // animate + + stop: function stop() { + return function stopImpl(clearQueue, jumpToEnd) { + var self = this; + var selfIsArrayLike = self.length !== undefined; + var all = selfIsArrayLike ? self : [self]; // put in array if not array-like + var cy = this._private.cy || this; + if (!cy.styleEnabled()) { + return this; + } + for (var i = 0; i < all.length; i++) { + var ele = all[i]; + var _p = ele._private; + var anis = _p.animation.current; + for (var j = 0; j < anis.length; j++) { + var ani = anis[j]; + var ani_p = ani._private; + if (jumpToEnd) { + // next iteration of the animation loop, the animation + // will go straight to the end and be removed + ani_p.duration = 0; + } + } + + // clear the queue of future animations + if (clearQueue) { + _p.animation.queue = []; + } + if (!jumpToEnd) { + _p.animation.current = []; + } + } + + // we have to notify (the animation loop doesn't do it for us on `stop`) + cy.notify('draw'); + return this; + }; + } // stop +}; // define + +var define$2 = { + // access data field + data: function data(params) { + var defaults = { + field: 'data', + bindingEvent: 'data', + allowBinding: false, + allowSetting: false, + allowGetting: false, + settingEvent: 'data', + settingTriggersEvent: false, + triggerFnName: 'trigger', + immutableKeys: {}, + // key => true if immutable + updateStyle: false, + beforeGet: function beforeGet(self) {}, + beforeSet: function beforeSet(self, obj) {}, + onSet: function onSet(self) {}, + canSet: function canSet(self) { + return true; + } + }; + params = extend({}, defaults, params); + return function dataImpl(name, value) { + var p = params; + var self = this; + var selfIsArrayLike = self.length !== undefined; + var all = selfIsArrayLike ? self : [self]; // put in array if not array-like + var single = selfIsArrayLike ? self[0] : self; + + // .data('foo', ...) + if (string(name)) { + // set or get property + var isPathLike = name.indexOf('.') !== -1; // there might be a normal field with a dot + var path = isPathLike && toPath__default["default"](name); + + // .data('foo') + if (p.allowGetting && value === undefined) { + // get + + var ret; + if (single) { + p.beforeGet(single); + + // check if it's path and a field with the same name doesn't exist + if (path && single._private[p.field][name] === undefined) { + ret = get__default["default"](single._private[p.field], path); + } else { + ret = single._private[p.field][name]; + } + } + return ret; + + // .data('foo', 'bar') + } else if (p.allowSetting && value !== undefined) { + // set + var valid = !p.immutableKeys[name]; + if (valid) { + var change = _defineProperty({}, name, value); + p.beforeSet(self, change); + for (var i = 0, l = all.length; i < l; i++) { + var ele = all[i]; + if (p.canSet(ele)) { + if (path && single._private[p.field][name] === undefined) { + set__default["default"](ele._private[p.field], path, value); + } else { + ele._private[p.field][name] = value; + } + } + } + + // update mappers if asked + if (p.updateStyle) { + self.updateStyle(); + } + + // call onSet callback + p.onSet(self); + if (p.settingTriggersEvent) { + self[p.triggerFnName](p.settingEvent); + } + } + } + + // .data({ 'foo': 'bar' }) + } else if (p.allowSetting && plainObject(name)) { + // extend + var obj = name; + var k, v; + var keys = Object.keys(obj); + p.beforeSet(self, obj); + for (var _i = 0; _i < keys.length; _i++) { + k = keys[_i]; + v = obj[k]; + var _valid = !p.immutableKeys[k]; + if (_valid) { + for (var j = 0; j < all.length; j++) { + var _ele = all[j]; + if (p.canSet(_ele)) { + _ele._private[p.field][k] = v; + } + } + } + } + + // update mappers if asked + if (p.updateStyle) { + self.updateStyle(); + } + + // call onSet callback + p.onSet(self); + if (p.settingTriggersEvent) { + self[p.triggerFnName](p.settingEvent); + } + + // .data(function(){ ... }) + } else if (p.allowBinding && fn$6(name)) { + // bind to event + var fn = name; + self.on(p.bindingEvent, fn); + + // .data() + } else if (p.allowGetting && name === undefined) { + // get whole object + var _ret; + if (single) { + p.beforeGet(single); + _ret = single._private[p.field]; + } + return _ret; + } + return self; // maintain chainability + }; // function + }, + + // data + + // remove data field + removeData: function removeData(params) { + var defaults = { + field: 'data', + event: 'data', + triggerFnName: 'trigger', + triggerEvent: false, + immutableKeys: {} // key => true if immutable + }; + + params = extend({}, defaults, params); + return function removeDataImpl(names) { + var p = params; + var self = this; + var selfIsArrayLike = self.length !== undefined; + var all = selfIsArrayLike ? self : [self]; // put in array if not array-like + + // .removeData('foo bar') + if (string(names)) { + // then get the list of keys, and delete them + var keys = names.split(/\s+/); + var l = keys.length; + for (var i = 0; i < l; i++) { + // delete each non-empty key + var key = keys[i]; + if (emptyString(key)) { + continue; + } + var valid = !p.immutableKeys[key]; // not valid if immutable + if (valid) { + for (var i_a = 0, l_a = all.length; i_a < l_a; i_a++) { + all[i_a]._private[p.field][key] = undefined; + } + } + } + if (p.triggerEvent) { + self[p.triggerFnName](p.event); + } + + // .removeData() + } else if (names === undefined) { + // then delete all keys + + for (var _i_a = 0, _l_a = all.length; _i_a < _l_a; _i_a++) { + var _privateFields = all[_i_a]._private[p.field]; + var _keys = Object.keys(_privateFields); + for (var _i2 = 0; _i2 < _keys.length; _i2++) { + var _key = _keys[_i2]; + var validKeyToDelete = !p.immutableKeys[_key]; + if (validKeyToDelete) { + _privateFields[_key] = undefined; + } + } + } + if (p.triggerEvent) { + self[p.triggerFnName](p.event); + } + } + return self; // maintain chaining + }; // function + } // removeData +}; // define + +var define$1 = { + eventAliasesOn: function eventAliasesOn(proto) { + var p = proto; + p.addListener = p.listen = p.bind = p.on; + p.unlisten = p.unbind = p.off = p.removeListener; + p.trigger = p.emit; + + // this is just a wrapper alias of .on() + p.pon = p.promiseOn = function (events, selector) { + var self = this; + var args = Array.prototype.slice.call(arguments, 0); + return new Promise$1(function (resolve, reject) { + var callback = function callback(e) { + self.off.apply(self, offArgs); + resolve(e); + }; + var onArgs = args.concat([callback]); + var offArgs = onArgs.concat([]); + self.on.apply(self, onArgs); + }); + }; + } +}; // define + +// use this module to cherry pick functions into your prototype +var define = {}; +[define$3, define$2, define$1].forEach(function (m) { + extend(define, m); +}); + +var elesfn$i = { + animate: define.animate(), + animation: define.animation(), + animated: define.animated(), + clearQueue: define.clearQueue(), + delay: define.delay(), + delayAnimation: define.delayAnimation(), + stop: define.stop() +}; + +var elesfn$h = { + classes: function classes(_classes) { + var self = this; + if (_classes === undefined) { + var ret = []; + self[0]._private.classes.forEach(function (cls) { + return ret.push(cls); + }); + return ret; + } else if (!array(_classes)) { + // extract classes from string + _classes = (_classes || '').match(/\S+/g) || []; + } + var changed = []; + var classesSet = new Set$1(_classes); + + // check and update each ele + for (var j = 0; j < self.length; j++) { + var ele = self[j]; + var _p = ele._private; + var eleClasses = _p.classes; + var changedEle = false; + + // check if ele has all of the passed classes + for (var i = 0; i < _classes.length; i++) { + var cls = _classes[i]; + var eleHasClass = eleClasses.has(cls); + if (!eleHasClass) { + changedEle = true; + break; + } + } + + // check if ele has classes outside of those passed + if (!changedEle) { + changedEle = eleClasses.size !== _classes.length; + } + if (changedEle) { + _p.classes = classesSet; + changed.push(ele); + } + } + + // trigger update style on those eles that had class changes + if (changed.length > 0) { + this.spawn(changed).updateStyle().emit('class'); + } + return self; + }, + addClass: function addClass(classes) { + return this.toggleClass(classes, true); + }, + hasClass: function hasClass(className) { + var ele = this[0]; + return ele != null && ele._private.classes.has(className); + }, + toggleClass: function toggleClass(classes, toggle) { + if (!array(classes)) { + // extract classes from string + classes = classes.match(/\S+/g) || []; + } + var self = this; + var toggleUndefd = toggle === undefined; + var changed = []; // eles who had classes changed + + for (var i = 0, il = self.length; i < il; i++) { + var ele = self[i]; + var eleClasses = ele._private.classes; + var changedEle = false; + for (var j = 0; j < classes.length; j++) { + var cls = classes[j]; + var hasClass = eleClasses.has(cls); + var changedNow = false; + if (toggle || toggleUndefd && !hasClass) { + eleClasses.add(cls); + changedNow = true; + } else if (!toggle || toggleUndefd && hasClass) { + eleClasses["delete"](cls); + changedNow = true; + } + if (!changedEle && changedNow) { + changed.push(ele); + changedEle = true; + } + } // for j classes + } // for i eles + + // trigger update style on those eles that had class changes + if (changed.length > 0) { + this.spawn(changed).updateStyle().emit('class'); + } + return self; + }, + removeClass: function removeClass(classes) { + return this.toggleClass(classes, false); + }, + flashClass: function flashClass(classes, duration) { + var self = this; + if (duration == null) { + duration = 250; + } else if (duration === 0) { + return self; // nothing to do really + } + + self.addClass(classes); + setTimeout(function () { + self.removeClass(classes); + }, duration); + return self; + } +}; +elesfn$h.className = elesfn$h.classNames = elesfn$h.classes; + +// tokens in the query language +var tokens = { + metaChar: '[\\!\\"\\#\\$\\%\\&\\\'\\(\\)\\*\\+\\,\\.\\/\\:\\;\\<\\=\\>\\?\\@\\[\\]\\^\\`\\{\\|\\}\\~]', + // chars we need to escape in let names, etc + comparatorOp: '=|\\!=|>|>=|<|<=|\\$=|\\^=|\\*=', + // binary comparison op (used in data selectors) + boolOp: '\\?|\\!|\\^', + // boolean (unary) operators (used in data selectors) + string: '"(?:\\\\"|[^"])*"' + '|' + "'(?:\\\\'|[^'])*'", + // string literals (used in data selectors) -- doublequotes | singlequotes + number: number, + // number literal (used in data selectors) --- e.g. 0.1234, 1234, 12e123 + meta: 'degree|indegree|outdegree', + // allowed metadata fields (i.e. allowed functions to use from Collection) + separator: '\\s*,\\s*', + // queries are separated by commas, e.g. edge[foo = 'bar'], node.someClass + descendant: '\\s+', + child: '\\s+>\\s+', + subject: '\\$', + group: 'node|edge|\\*', + directedEdge: '\\s+->\\s+', + undirectedEdge: '\\s+<->\\s+' +}; +tokens.variable = '(?:[\\w-.]|(?:\\\\' + tokens.metaChar + '))+'; // a variable name can have letters, numbers, dashes, and periods +tokens.className = '(?:[\\w-]|(?:\\\\' + tokens.metaChar + '))+'; // a class name has the same rules as a variable except it can't have a '.' in the name +tokens.value = tokens.string + '|' + tokens.number; // a value literal, either a string or number +tokens.id = tokens.variable; // an element id (follows variable conventions) + +(function () { + var ops, op, i; + + // add @ variants to comparatorOp + ops = tokens.comparatorOp.split('|'); + for (i = 0; i < ops.length; i++) { + op = ops[i]; + tokens.comparatorOp += '|@' + op; + } + + // add ! variants to comparatorOp + ops = tokens.comparatorOp.split('|'); + for (i = 0; i < ops.length; i++) { + op = ops[i]; + if (op.indexOf('!') >= 0) { + continue; + } // skip ops that explicitly contain ! + if (op === '=') { + continue; + } // skip = b/c != is explicitly defined + + tokens.comparatorOp += '|\\!' + op; + } +})(); + +/** + * Make a new query object + * + * @prop type {Type} The type enum (int) of the query + * @prop checks List of checks to make against an ele to test for a match + */ +var newQuery = function newQuery() { + return { + checks: [] + }; +}; + +/** + * A check type enum-like object. Uses integer values for fast match() lookup. + * The ordering does not matter as long as the ints are unique. + */ +var Type = { + /** E.g. node */ + GROUP: 0, + /** A collection of elements */ + COLLECTION: 1, + /** A filter(ele) function */ + FILTER: 2, + /** E.g. [foo > 1] */ + DATA_COMPARE: 3, + /** E.g. [foo] */ + DATA_EXIST: 4, + /** E.g. [?foo] */ + DATA_BOOL: 5, + /** E.g. [[degree > 2]] */ + META_COMPARE: 6, + /** E.g. :selected */ + STATE: 7, + /** E.g. #foo */ + ID: 8, + /** E.g. .foo */ + CLASS: 9, + /** E.g. #foo <-> #bar */ + UNDIRECTED_EDGE: 10, + /** E.g. #foo -> #bar */ + DIRECTED_EDGE: 11, + /** E.g. $#foo -> #bar */ + NODE_SOURCE: 12, + /** E.g. #foo -> $#bar */ + NODE_TARGET: 13, + /** E.g. $#foo <-> #bar */ + NODE_NEIGHBOR: 14, + /** E.g. #foo > #bar */ + CHILD: 15, + /** E.g. #foo #bar */ + DESCENDANT: 16, + /** E.g. $#foo > #bar */ + PARENT: 17, + /** E.g. $#foo #bar */ + ANCESTOR: 18, + /** E.g. #foo > $bar > #baz */ + COMPOUND_SPLIT: 19, + /** Always matches, useful placeholder for subject in `COMPOUND_SPLIT` */ + TRUE: 20 +}; + +var stateSelectors = [{ + selector: ':selected', + matches: function matches(ele) { + return ele.selected(); + } +}, { + selector: ':unselected', + matches: function matches(ele) { + return !ele.selected(); + } +}, { + selector: ':selectable', + matches: function matches(ele) { + return ele.selectable(); + } +}, { + selector: ':unselectable', + matches: function matches(ele) { + return !ele.selectable(); + } +}, { + selector: ':locked', + matches: function matches(ele) { + return ele.locked(); + } +}, { + selector: ':unlocked', + matches: function matches(ele) { + return !ele.locked(); + } +}, { + selector: ':visible', + matches: function matches(ele) { + return ele.visible(); + } +}, { + selector: ':hidden', + matches: function matches(ele) { + return !ele.visible(); + } +}, { + selector: ':transparent', + matches: function matches(ele) { + return ele.transparent(); + } +}, { + selector: ':grabbed', + matches: function matches(ele) { + return ele.grabbed(); + } +}, { + selector: ':free', + matches: function matches(ele) { + return !ele.grabbed(); + } +}, { + selector: ':removed', + matches: function matches(ele) { + return ele.removed(); + } +}, { + selector: ':inside', + matches: function matches(ele) { + return !ele.removed(); + } +}, { + selector: ':grabbable', + matches: function matches(ele) { + return ele.grabbable(); + } +}, { + selector: ':ungrabbable', + matches: function matches(ele) { + return !ele.grabbable(); + } +}, { + selector: ':animated', + matches: function matches(ele) { + return ele.animated(); + } +}, { + selector: ':unanimated', + matches: function matches(ele) { + return !ele.animated(); + } +}, { + selector: ':parent', + matches: function matches(ele) { + return ele.isParent(); + } +}, { + selector: ':childless', + matches: function matches(ele) { + return ele.isChildless(); + } +}, { + selector: ':child', + matches: function matches(ele) { + return ele.isChild(); + } +}, { + selector: ':orphan', + matches: function matches(ele) { + return ele.isOrphan(); + } +}, { + selector: ':nonorphan', + matches: function matches(ele) { + return ele.isChild(); + } +}, { + selector: ':compound', + matches: function matches(ele) { + if (ele.isNode()) { + return ele.isParent(); + } else { + return ele.source().isParent() || ele.target().isParent(); + } + } +}, { + selector: ':loop', + matches: function matches(ele) { + return ele.isLoop(); + } +}, { + selector: ':simple', + matches: function matches(ele) { + return ele.isSimple(); + } +}, { + selector: ':active', + matches: function matches(ele) { + return ele.active(); + } +}, { + selector: ':inactive', + matches: function matches(ele) { + return !ele.active(); + } +}, { + selector: ':backgrounding', + matches: function matches(ele) { + return ele.backgrounding(); + } +}, { + selector: ':nonbackgrounding', + matches: function matches(ele) { + return !ele.backgrounding(); + } +}].sort(function (a, b) { + // n.b. selectors that are starting substrings of others must have the longer ones first + return descending(a.selector, b.selector); +}); +var lookup = function () { + var selToFn = {}; + var s; + for (var i = 0; i < stateSelectors.length; i++) { + s = stateSelectors[i]; + selToFn[s.selector] = s.matches; + } + return selToFn; +}(); +var stateSelectorMatches = function stateSelectorMatches(sel, ele) { + return lookup[sel](ele); +}; +var stateSelectorRegex = '(' + stateSelectors.map(function (s) { + return s.selector; +}).join('|') + ')'; + +// when a token like a variable has escaped meta characters, we need to clean the backslashes out +// so that values get compared properly in Selector.filter() +var cleanMetaChars = function cleanMetaChars(str) { + return str.replace(new RegExp('\\\\(' + tokens.metaChar + ')', 'g'), function (match, $1) { + return $1; + }); +}; +var replaceLastQuery = function replaceLastQuery(selector, examiningQuery, replacementQuery) { + selector[selector.length - 1] = replacementQuery; +}; + +// NOTE: add new expression syntax here to have it recognised by the parser; +// - a query contains all adjacent (i.e. no separator in between) expressions; +// - the current query is stored in selector[i] +// - you need to check the query objects in match() for it actually filter properly, but that's pretty straight forward +var exprs = [{ + name: 'group', + // just used for identifying when debugging + query: true, + regex: '(' + tokens.group + ')', + populate: function populate(selector, query, _ref) { + var _ref2 = _slicedToArray(_ref, 1), + group = _ref2[0]; + query.checks.push({ + type: Type.GROUP, + value: group === '*' ? group : group + 's' + }); + } +}, { + name: 'state', + query: true, + regex: stateSelectorRegex, + populate: function populate(selector, query, _ref3) { + var _ref4 = _slicedToArray(_ref3, 1), + state = _ref4[0]; + query.checks.push({ + type: Type.STATE, + value: state + }); + } +}, { + name: 'id', + query: true, + regex: '\\#(' + tokens.id + ')', + populate: function populate(selector, query, _ref5) { + var _ref6 = _slicedToArray(_ref5, 1), + id = _ref6[0]; + query.checks.push({ + type: Type.ID, + value: cleanMetaChars(id) + }); + } +}, { + name: 'className', + query: true, + regex: '\\.(' + tokens.className + ')', + populate: function populate(selector, query, _ref7) { + var _ref8 = _slicedToArray(_ref7, 1), + className = _ref8[0]; + query.checks.push({ + type: Type.CLASS, + value: cleanMetaChars(className) + }); + } +}, { + name: 'dataExists', + query: true, + regex: '\\[\\s*(' + tokens.variable + ')\\s*\\]', + populate: function populate(selector, query, _ref9) { + var _ref10 = _slicedToArray(_ref9, 1), + variable = _ref10[0]; + query.checks.push({ + type: Type.DATA_EXIST, + field: cleanMetaChars(variable) + }); + } +}, { + name: 'dataCompare', + query: true, + regex: '\\[\\s*(' + tokens.variable + ')\\s*(' + tokens.comparatorOp + ')\\s*(' + tokens.value + ')\\s*\\]', + populate: function populate(selector, query, _ref11) { + var _ref12 = _slicedToArray(_ref11, 3), + variable = _ref12[0], + comparatorOp = _ref12[1], + value = _ref12[2]; + var valueIsString = new RegExp('^' + tokens.string + '$').exec(value) != null; + if (valueIsString) { + value = value.substring(1, value.length - 1); + } else { + value = parseFloat(value); + } + query.checks.push({ + type: Type.DATA_COMPARE, + field: cleanMetaChars(variable), + operator: comparatorOp, + value: value + }); + } +}, { + name: 'dataBool', + query: true, + regex: '\\[\\s*(' + tokens.boolOp + ')\\s*(' + tokens.variable + ')\\s*\\]', + populate: function populate(selector, query, _ref13) { + var _ref14 = _slicedToArray(_ref13, 2), + boolOp = _ref14[0], + variable = _ref14[1]; + query.checks.push({ + type: Type.DATA_BOOL, + field: cleanMetaChars(variable), + operator: boolOp + }); + } +}, { + name: 'metaCompare', + query: true, + regex: '\\[\\[\\s*(' + tokens.meta + ')\\s*(' + tokens.comparatorOp + ')\\s*(' + tokens.number + ')\\s*\\]\\]', + populate: function populate(selector, query, _ref15) { + var _ref16 = _slicedToArray(_ref15, 3), + meta = _ref16[0], + comparatorOp = _ref16[1], + number = _ref16[2]; + query.checks.push({ + type: Type.META_COMPARE, + field: cleanMetaChars(meta), + operator: comparatorOp, + value: parseFloat(number) + }); + } +}, { + name: 'nextQuery', + separator: true, + regex: tokens.separator, + populate: function populate(selector, query) { + var currentSubject = selector.currentSubject; + var edgeCount = selector.edgeCount; + var compoundCount = selector.compoundCount; + var lastQ = selector[selector.length - 1]; + if (currentSubject != null) { + lastQ.subject = currentSubject; + selector.currentSubject = null; + } + lastQ.edgeCount = edgeCount; + lastQ.compoundCount = compoundCount; + selector.edgeCount = 0; + selector.compoundCount = 0; + + // go on to next query + var nextQuery = selector[selector.length++] = newQuery(); + return nextQuery; // this is the new query to be filled by the following exprs + } +}, { + name: 'directedEdge', + separator: true, + regex: tokens.directedEdge, + populate: function populate(selector, query) { + if (selector.currentSubject == null) { + // undirected edge + var edgeQuery = newQuery(); + var source = query; + var target = newQuery(); + edgeQuery.checks.push({ + type: Type.DIRECTED_EDGE, + source: source, + target: target + }); + + // the query in the selector should be the edge rather than the source + replaceLastQuery(selector, query, edgeQuery); + selector.edgeCount++; + + // we're now populating the target query with expressions that follow + return target; + } else { + // source/target + var srcTgtQ = newQuery(); + var _source = query; + var _target = newQuery(); + srcTgtQ.checks.push({ + type: Type.NODE_SOURCE, + source: _source, + target: _target + }); + + // the query in the selector should be the neighbourhood rather than the node + replaceLastQuery(selector, query, srcTgtQ); + selector.edgeCount++; + return _target; // now populating the target with the following expressions + } + } +}, { + name: 'undirectedEdge', + separator: true, + regex: tokens.undirectedEdge, + populate: function populate(selector, query) { + if (selector.currentSubject == null) { + // undirected edge + var edgeQuery = newQuery(); + var source = query; + var target = newQuery(); + edgeQuery.checks.push({ + type: Type.UNDIRECTED_EDGE, + nodes: [source, target] + }); + + // the query in the selector should be the edge rather than the source + replaceLastQuery(selector, query, edgeQuery); + selector.edgeCount++; + + // we're now populating the target query with expressions that follow + return target; + } else { + // neighbourhood + var nhoodQ = newQuery(); + var node = query; + var neighbor = newQuery(); + nhoodQ.checks.push({ + type: Type.NODE_NEIGHBOR, + node: node, + neighbor: neighbor + }); + + // the query in the selector should be the neighbourhood rather than the node + replaceLastQuery(selector, query, nhoodQ); + return neighbor; // now populating the neighbor with following expressions + } + } +}, { + name: 'child', + separator: true, + regex: tokens.child, + populate: function populate(selector, query) { + if (selector.currentSubject == null) { + // default: child query + var parentChildQuery = newQuery(); + var child = newQuery(); + var parent = selector[selector.length - 1]; + parentChildQuery.checks.push({ + type: Type.CHILD, + parent: parent, + child: child + }); + + // the query in the selector should be the '>' itself + replaceLastQuery(selector, query, parentChildQuery); + selector.compoundCount++; + + // we're now populating the child query with expressions that follow + return child; + } else if (selector.currentSubject === query) { + // compound split query + var compound = newQuery(); + var left = selector[selector.length - 1]; + var right = newQuery(); + var subject = newQuery(); + var _child = newQuery(); + var _parent = newQuery(); + + // set up the root compound q + compound.checks.push({ + type: Type.COMPOUND_SPLIT, + left: left, + right: right, + subject: subject + }); + + // populate the subject and replace the q at the old spot (within left) with TRUE + subject.checks = query.checks; // take the checks from the left + query.checks = [{ + type: Type.TRUE + }]; // checks under left refs the subject implicitly + + // set up the right q + _parent.checks.push({ + type: Type.TRUE + }); // parent implicitly refs the subject + right.checks.push({ + type: Type.PARENT, + // type is swapped on right side queries + parent: _parent, + child: _child // empty for now + }); + + replaceLastQuery(selector, left, compound); + + // update the ref since we moved things around for `query` + selector.currentSubject = subject; + selector.compoundCount++; + return _child; // now populating the right side's child + } else { + // parent query + // info for parent query + var _parent2 = newQuery(); + var _child2 = newQuery(); + var pcQChecks = [{ + type: Type.PARENT, + parent: _parent2, + child: _child2 + }]; + + // the parent-child query takes the place of the query previously being populated + _parent2.checks = query.checks; // the previous query contains the checks for the parent + query.checks = pcQChecks; // pc query takes over + + selector.compoundCount++; + return _child2; // we're now populating the child + } + } +}, { + name: 'descendant', + separator: true, + regex: tokens.descendant, + populate: function populate(selector, query) { + if (selector.currentSubject == null) { + // default: descendant query + var ancChQuery = newQuery(); + var descendant = newQuery(); + var ancestor = selector[selector.length - 1]; + ancChQuery.checks.push({ + type: Type.DESCENDANT, + ancestor: ancestor, + descendant: descendant + }); + + // the query in the selector should be the '>' itself + replaceLastQuery(selector, query, ancChQuery); + selector.compoundCount++; + + // we're now populating the descendant query with expressions that follow + return descendant; + } else if (selector.currentSubject === query) { + // compound split query + var compound = newQuery(); + var left = selector[selector.length - 1]; + var right = newQuery(); + var subject = newQuery(); + var _descendant = newQuery(); + var _ancestor = newQuery(); + + // set up the root compound q + compound.checks.push({ + type: Type.COMPOUND_SPLIT, + left: left, + right: right, + subject: subject + }); + + // populate the subject and replace the q at the old spot (within left) with TRUE + subject.checks = query.checks; // take the checks from the left + query.checks = [{ + type: Type.TRUE + }]; // checks under left refs the subject implicitly + + // set up the right q + _ancestor.checks.push({ + type: Type.TRUE + }); // ancestor implicitly refs the subject + right.checks.push({ + type: Type.ANCESTOR, + // type is swapped on right side queries + ancestor: _ancestor, + descendant: _descendant // empty for now + }); + + replaceLastQuery(selector, left, compound); + + // update the ref since we moved things around for `query` + selector.currentSubject = subject; + selector.compoundCount++; + return _descendant; // now populating the right side's descendant + } else { + // ancestor query + // info for parent query + var _ancestor2 = newQuery(); + var _descendant2 = newQuery(); + var adQChecks = [{ + type: Type.ANCESTOR, + ancestor: _ancestor2, + descendant: _descendant2 + }]; + + // the parent-child query takes the place of the query previously being populated + _ancestor2.checks = query.checks; // the previous query contains the checks for the parent + query.checks = adQChecks; // pc query takes over + + selector.compoundCount++; + return _descendant2; // we're now populating the child + } + } +}, { + name: 'subject', + modifier: true, + regex: tokens.subject, + populate: function populate(selector, query) { + if (selector.currentSubject != null && selector.currentSubject !== query) { + warn('Redefinition of subject in selector `' + selector.toString() + '`'); + return false; + } + selector.currentSubject = query; + var topQ = selector[selector.length - 1]; + var topChk = topQ.checks[0]; + var topType = topChk == null ? null : topChk.type; + if (topType === Type.DIRECTED_EDGE) { + // directed edge with subject on the target + + // change to target node check + topChk.type = Type.NODE_TARGET; + } else if (topType === Type.UNDIRECTED_EDGE) { + // undirected edge with subject on the second node + + // change to neighbor check + topChk.type = Type.NODE_NEIGHBOR; + topChk.node = topChk.nodes[1]; // second node is subject + topChk.neighbor = topChk.nodes[0]; + + // clean up unused fields for new type + topChk.nodes = null; + } + } +}]; +exprs.forEach(function (e) { + return e.regexObj = new RegExp('^' + e.regex); +}); + +/** + * Of all the expressions, find the first match in the remaining text. + * @param {string} remaining The remaining text to parse + * @returns The matched expression and the newly remaining text `{ expr, match, name, remaining }` + */ +var consumeExpr = function consumeExpr(remaining) { + var expr; + var match; + var name; + for (var j = 0; j < exprs.length; j++) { + var e = exprs[j]; + var n = e.name; + var m = remaining.match(e.regexObj); + if (m != null) { + match = m; + expr = e; + name = n; + var consumed = m[0]; + remaining = remaining.substring(consumed.length); + break; // we've consumed one expr, so we can return now + } + } + + return { + expr: expr, + match: match, + name: name, + remaining: remaining + }; +}; + +/** + * Consume all the leading whitespace + * @param {string} remaining The text to consume + * @returns The text with the leading whitespace removed + */ +var consumeWhitespace = function consumeWhitespace(remaining) { + var match = remaining.match(/^\s+/); + if (match) { + var consumed = match[0]; + remaining = remaining.substring(consumed.length); + } + return remaining; +}; + +/** + * Parse the string and store the parsed representation in the Selector. + * @param {string} selector The selector string + * @returns `true` if the selector was successfully parsed, `false` otherwise + */ +var parse = function parse(selector) { + var self = this; + var remaining = self.inputText = selector; + var currentQuery = self[0] = newQuery(); + self.length = 1; + remaining = consumeWhitespace(remaining); // get rid of leading whitespace + + for (;;) { + var exprInfo = consumeExpr(remaining); + if (exprInfo.expr == null) { + warn('The selector `' + selector + '`is invalid'); + return false; + } else { + var args = exprInfo.match.slice(1); + + // let the token populate the selector object in currentQuery + var ret = exprInfo.expr.populate(self, currentQuery, args); + if (ret === false) { + return false; // exit if population failed + } else if (ret != null) { + currentQuery = ret; // change the current query to be filled if the expr specifies + } + } + + remaining = exprInfo.remaining; + + // we're done when there's nothing left to parse + if (remaining.match(/^\s*$/)) { + break; + } + } + var lastQ = self[self.length - 1]; + if (self.currentSubject != null) { + lastQ.subject = self.currentSubject; + } + lastQ.edgeCount = self.edgeCount; + lastQ.compoundCount = self.compoundCount; + for (var i = 0; i < self.length; i++) { + var q = self[i]; + + // in future, this could potentially be allowed if there were operator precedence and detection of invalid combinations + if (q.compoundCount > 0 && q.edgeCount > 0) { + warn('The selector `' + selector + '` is invalid because it uses both a compound selector and an edge selector'); + return false; + } + if (q.edgeCount > 1) { + warn('The selector `' + selector + '` is invalid because it uses multiple edge selectors'); + return false; + } else if (q.edgeCount === 1) { + warn('The selector `' + selector + '` is deprecated. Edge selectors do not take effect on changes to source and target nodes after an edge is added, for performance reasons. Use a class or data selector on edges instead, updating the class or data of an edge when your app detects a change in source or target nodes.'); + } + } + return true; // success +}; + +/** + * Get the selector represented as a string. This value uses default formatting, + * so things like spacing may differ from the input text passed to the constructor. + * @returns {string} The selector string + */ +var toString = function toString() { + if (this.toStringCache != null) { + return this.toStringCache; + } + var clean = function clean(obj) { + if (obj == null) { + return ''; + } else { + return obj; + } + }; + var cleanVal = function cleanVal(val) { + if (string(val)) { + return '"' + val + '"'; + } else { + return clean(val); + } + }; + var space = function space(val) { + return ' ' + val + ' '; + }; + var checkToString = function checkToString(check, subject) { + var type = check.type, + value = check.value; + switch (type) { + case Type.GROUP: + { + var group = clean(value); + return group.substring(0, group.length - 1); + } + case Type.DATA_COMPARE: + { + var field = check.field, + operator = check.operator; + return '[' + field + space(clean(operator)) + cleanVal(value) + ']'; + } + case Type.DATA_BOOL: + { + var _operator = check.operator, + _field = check.field; + return '[' + clean(_operator) + _field + ']'; + } + case Type.DATA_EXIST: + { + var _field2 = check.field; + return '[' + _field2 + ']'; + } + case Type.META_COMPARE: + { + var _operator2 = check.operator, + _field3 = check.field; + return '[[' + _field3 + space(clean(_operator2)) + cleanVal(value) + ']]'; + } + case Type.STATE: + { + return value; + } + case Type.ID: + { + return '#' + value; + } + case Type.CLASS: + { + return '.' + value; + } + case Type.PARENT: + case Type.CHILD: + { + return queryToString(check.parent, subject) + space('>') + queryToString(check.child, subject); + } + case Type.ANCESTOR: + case Type.DESCENDANT: + { + return queryToString(check.ancestor, subject) + ' ' + queryToString(check.descendant, subject); + } + case Type.COMPOUND_SPLIT: + { + var lhs = queryToString(check.left, subject); + var sub = queryToString(check.subject, subject); + var rhs = queryToString(check.right, subject); + return lhs + (lhs.length > 0 ? ' ' : '') + sub + rhs; + } + case Type.TRUE: + { + return ''; + } + } + }; + var queryToString = function queryToString(query, subject) { + return query.checks.reduce(function (str, chk, i) { + return str + (subject === query && i === 0 ? '$' : '') + checkToString(chk, subject); + }, ''); + }; + var str = ''; + for (var i = 0; i < this.length; i++) { + var query = this[i]; + str += queryToString(query, query.subject); + if (this.length > 1 && i < this.length - 1) { + str += ', '; + } + } + this.toStringCache = str; + return str; +}; +var parse$1 = { + parse: parse, + toString: toString +}; + +var valCmp = function valCmp(fieldVal, operator, value) { + var matches; + var isFieldStr = string(fieldVal); + var isFieldNum = number$1(fieldVal); + var isValStr = string(value); + var fieldStr, valStr; + var caseInsensitive = false; + var notExpr = false; + var isIneqCmp = false; + if (operator.indexOf('!') >= 0) { + operator = operator.replace('!', ''); + notExpr = true; + } + if (operator.indexOf('@') >= 0) { + operator = operator.replace('@', ''); + caseInsensitive = true; + } + if (isFieldStr || isValStr || caseInsensitive) { + fieldStr = !isFieldStr && !isFieldNum ? '' : '' + fieldVal; + valStr = '' + value; + } + + // if we're doing a case insensitive comparison, then we're using a STRING comparison + // even if we're comparing numbers + if (caseInsensitive) { + fieldVal = fieldStr = fieldStr.toLowerCase(); + value = valStr = valStr.toLowerCase(); + } + switch (operator) { + case '*=': + matches = fieldStr.indexOf(valStr) >= 0; + break; + case '$=': + matches = fieldStr.indexOf(valStr, fieldStr.length - valStr.length) >= 0; + break; + case '^=': + matches = fieldStr.indexOf(valStr) === 0; + break; + case '=': + matches = fieldVal === value; + break; + case '>': + isIneqCmp = true; + matches = fieldVal > value; + break; + case '>=': + isIneqCmp = true; + matches = fieldVal >= value; + break; + case '<': + isIneqCmp = true; + matches = fieldVal < value; + break; + case '<=': + isIneqCmp = true; + matches = fieldVal <= value; + break; + default: + matches = false; + break; + } + + // apply the not op, but null vals for inequalities should always stay non-matching + if (notExpr && (fieldVal != null || !isIneqCmp)) { + matches = !matches; + } + return matches; +}; +var boolCmp = function boolCmp(fieldVal, operator) { + switch (operator) { + case '?': + return fieldVal ? true : false; + case '!': + return fieldVal ? false : true; + case '^': + return fieldVal === undefined; + } +}; +var existCmp = function existCmp(fieldVal) { + return fieldVal !== undefined; +}; +var data$1 = function data(ele, field) { + return ele.data(field); +}; +var meta = function meta(ele, field) { + return ele[field](); +}; + +/** A lookup of `match(check, ele)` functions by `Type` int */ +var match = []; + +/** + * Returns whether the query matches for the element + * @param query The `{ type, value, ... }` query object + * @param ele The element to compare against +*/ +var matches$1 = function matches(query, ele) { + return query.checks.every(function (chk) { + return match[chk.type](chk, ele); + }); +}; +match[Type.GROUP] = function (check, ele) { + var group = check.value; + return group === '*' || group === ele.group(); +}; +match[Type.STATE] = function (check, ele) { + var stateSelector = check.value; + return stateSelectorMatches(stateSelector, ele); +}; +match[Type.ID] = function (check, ele) { + var id = check.value; + return ele.id() === id; +}; +match[Type.CLASS] = function (check, ele) { + var cls = check.value; + return ele.hasClass(cls); +}; +match[Type.META_COMPARE] = function (check, ele) { + var field = check.field, + operator = check.operator, + value = check.value; + return valCmp(meta(ele, field), operator, value); +}; +match[Type.DATA_COMPARE] = function (check, ele) { + var field = check.field, + operator = check.operator, + value = check.value; + return valCmp(data$1(ele, field), operator, value); +}; +match[Type.DATA_BOOL] = function (check, ele) { + var field = check.field, + operator = check.operator; + return boolCmp(data$1(ele, field), operator); +}; +match[Type.DATA_EXIST] = function (check, ele) { + var field = check.field; + check.operator; + return existCmp(data$1(ele, field)); +}; +match[Type.UNDIRECTED_EDGE] = function (check, ele) { + var qA = check.nodes[0]; + var qB = check.nodes[1]; + var src = ele.source(); + var tgt = ele.target(); + return matches$1(qA, src) && matches$1(qB, tgt) || matches$1(qB, src) && matches$1(qA, tgt); +}; +match[Type.NODE_NEIGHBOR] = function (check, ele) { + return matches$1(check.node, ele) && ele.neighborhood().some(function (n) { + return n.isNode() && matches$1(check.neighbor, n); + }); +}; +match[Type.DIRECTED_EDGE] = function (check, ele) { + return matches$1(check.source, ele.source()) && matches$1(check.target, ele.target()); +}; +match[Type.NODE_SOURCE] = function (check, ele) { + return matches$1(check.source, ele) && ele.outgoers().some(function (n) { + return n.isNode() && matches$1(check.target, n); + }); +}; +match[Type.NODE_TARGET] = function (check, ele) { + return matches$1(check.target, ele) && ele.incomers().some(function (n) { + return n.isNode() && matches$1(check.source, n); + }); +}; +match[Type.CHILD] = function (check, ele) { + return matches$1(check.child, ele) && matches$1(check.parent, ele.parent()); +}; +match[Type.PARENT] = function (check, ele) { + return matches$1(check.parent, ele) && ele.children().some(function (c) { + return matches$1(check.child, c); + }); +}; +match[Type.DESCENDANT] = function (check, ele) { + return matches$1(check.descendant, ele) && ele.ancestors().some(function (a) { + return matches$1(check.ancestor, a); + }); +}; +match[Type.ANCESTOR] = function (check, ele) { + return matches$1(check.ancestor, ele) && ele.descendants().some(function (d) { + return matches$1(check.descendant, d); + }); +}; +match[Type.COMPOUND_SPLIT] = function (check, ele) { + return matches$1(check.subject, ele) && matches$1(check.left, ele) && matches$1(check.right, ele); +}; +match[Type.TRUE] = function () { + return true; +}; +match[Type.COLLECTION] = function (check, ele) { + var collection = check.value; + return collection.has(ele); +}; +match[Type.FILTER] = function (check, ele) { + var filter = check.value; + return filter(ele); +}; + +// filter an existing collection +var filter = function filter(collection) { + var self = this; + + // for 1 id #foo queries, just get the element + if (self.length === 1 && self[0].checks.length === 1 && self[0].checks[0].type === Type.ID) { + return collection.getElementById(self[0].checks[0].value).collection(); + } + var selectorFunction = function selectorFunction(element) { + for (var j = 0; j < self.length; j++) { + var query = self[j]; + if (matches$1(query, element)) { + return true; + } + } + return false; + }; + if (self.text() == null) { + selectorFunction = function selectorFunction() { + return true; + }; + } + return collection.filter(selectorFunction); +}; // filter + +// does selector match a single element? +var matches = function matches(ele) { + var self = this; + for (var j = 0; j < self.length; j++) { + var query = self[j]; + if (matches$1(query, ele)) { + return true; + } + } + return false; +}; // matches + +var matching = { + matches: matches, + filter: filter +}; + +var Selector = function Selector(selector) { + this.inputText = selector; + this.currentSubject = null; + this.compoundCount = 0; + this.edgeCount = 0; + this.length = 0; + if (selector == null || string(selector) && selector.match(/^\s*$/)) ; else if (elementOrCollection(selector)) { + this.addQuery({ + checks: [{ + type: Type.COLLECTION, + value: selector.collection() + }] + }); + } else if (fn$6(selector)) { + this.addQuery({ + checks: [{ + type: Type.FILTER, + value: selector + }] + }); + } else if (string(selector)) { + if (!this.parse(selector)) { + this.invalid = true; + } + } else { + error('A selector must be created from a string; found '); + } +}; +var selfn = Selector.prototype; +[parse$1, matching].forEach(function (p) { + return extend(selfn, p); +}); +selfn.text = function () { + return this.inputText; +}; +selfn.size = function () { + return this.length; +}; +selfn.eq = function (i) { + return this[i]; +}; +selfn.sameText = function (otherSel) { + return !this.invalid && !otherSel.invalid && this.text() === otherSel.text(); +}; +selfn.addQuery = function (q) { + this[this.length++] = q; +}; +selfn.selector = selfn.toString; + +var elesfn$g = { + allAre: function allAre(selector) { + var selObj = new Selector(selector); + return this.every(function (ele) { + return selObj.matches(ele); + }); + }, + is: function is(selector) { + var selObj = new Selector(selector); + return this.some(function (ele) { + return selObj.matches(ele); + }); + }, + some: function some(fn, thisArg) { + for (var i = 0; i < this.length; i++) { + var ret = !thisArg ? fn(this[i], i, this) : fn.apply(thisArg, [this[i], i, this]); + if (ret) { + return true; + } + } + return false; + }, + every: function every(fn, thisArg) { + for (var i = 0; i < this.length; i++) { + var ret = !thisArg ? fn(this[i], i, this) : fn.apply(thisArg, [this[i], i, this]); + if (!ret) { + return false; + } + } + return true; + }, + same: function same(collection) { + // cheap collection ref check + if (this === collection) { + return true; + } + collection = this.cy().collection(collection); + var thisLength = this.length; + var collectionLength = collection.length; + + // cheap length check + if (thisLength !== collectionLength) { + return false; + } + + // cheap element ref check + if (thisLength === 1) { + return this[0] === collection[0]; + } + return this.every(function (ele) { + return collection.hasElementWithId(ele.id()); + }); + }, + anySame: function anySame(collection) { + collection = this.cy().collection(collection); + return this.some(function (ele) { + return collection.hasElementWithId(ele.id()); + }); + }, + allAreNeighbors: function allAreNeighbors(collection) { + collection = this.cy().collection(collection); + var nhood = this.neighborhood(); + return collection.every(function (ele) { + return nhood.hasElementWithId(ele.id()); + }); + }, + contains: function contains(collection) { + collection = this.cy().collection(collection); + var self = this; + return collection.every(function (ele) { + return self.hasElementWithId(ele.id()); + }); + } +}; +elesfn$g.allAreNeighbours = elesfn$g.allAreNeighbors; +elesfn$g.has = elesfn$g.contains; +elesfn$g.equal = elesfn$g.equals = elesfn$g.same; + +var cache = function cache(fn, name) { + return function traversalCache(arg1, arg2, arg3, arg4) { + var selectorOrEles = arg1; + var eles = this; + var key; + if (selectorOrEles == null) { + key = ''; + } else if (elementOrCollection(selectorOrEles) && selectorOrEles.length === 1) { + key = selectorOrEles.id(); + } + if (eles.length === 1 && key) { + var _p = eles[0]._private; + var tch = _p.traversalCache = _p.traversalCache || {}; + var ch = tch[name] = tch[name] || []; + var hash = hashString(key); + var cacheHit = ch[hash]; + if (cacheHit) { + return cacheHit; + } else { + return ch[hash] = fn.call(eles, arg1, arg2, arg3, arg4); + } + } else { + return fn.call(eles, arg1, arg2, arg3, arg4); + } + }; +}; + +var elesfn$f = { + parent: function parent(selector) { + var parents = []; + + // optimisation for single ele call + if (this.length === 1) { + var parent = this[0]._private.parent; + if (parent) { + return parent; + } + } + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var _parent = ele._private.parent; + if (_parent) { + parents.push(_parent); + } + } + return this.spawn(parents, true).filter(selector); + }, + parents: function parents(selector) { + var parents = []; + var eles = this.parent(); + while (eles.nonempty()) { + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + parents.push(ele); + } + eles = eles.parent(); + } + return this.spawn(parents, true).filter(selector); + }, + commonAncestors: function commonAncestors(selector) { + var ancestors; + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var parents = ele.parents(); + ancestors = ancestors || parents; + ancestors = ancestors.intersect(parents); // current list must be common with current ele parents set + } + + return ancestors.filter(selector); + }, + orphans: function orphans(selector) { + return this.stdFilter(function (ele) { + return ele.isOrphan(); + }).filter(selector); + }, + nonorphans: function nonorphans(selector) { + return this.stdFilter(function (ele) { + return ele.isChild(); + }).filter(selector); + }, + children: cache(function (selector) { + var children = []; + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var eleChildren = ele._private.children; + for (var j = 0; j < eleChildren.length; j++) { + children.push(eleChildren[j]); + } + } + return this.spawn(children, true).filter(selector); + }, 'children'), + siblings: function siblings(selector) { + return this.parent().children().not(this).filter(selector); + }, + isParent: function isParent() { + var ele = this[0]; + if (ele) { + return ele.isNode() && ele._private.children.length !== 0; + } + }, + isChildless: function isChildless() { + var ele = this[0]; + if (ele) { + return ele.isNode() && ele._private.children.length === 0; + } + }, + isChild: function isChild() { + var ele = this[0]; + if (ele) { + return ele.isNode() && ele._private.parent != null; + } + }, + isOrphan: function isOrphan() { + var ele = this[0]; + if (ele) { + return ele.isNode() && ele._private.parent == null; + } + }, + descendants: function descendants(selector) { + var elements = []; + function add(eles) { + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + elements.push(ele); + if (ele.children().nonempty()) { + add(ele.children()); + } + } + } + add(this.children()); + return this.spawn(elements, true).filter(selector); + } +}; +function forEachCompound(eles, fn, includeSelf, recursiveStep) { + var q = []; + var did = new Set$1(); + var cy = eles.cy(); + var hasCompounds = cy.hasCompoundNodes(); + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + if (includeSelf) { + q.push(ele); + } else if (hasCompounds) { + recursiveStep(q, did, ele); + } + } + while (q.length > 0) { + var _ele = q.shift(); + fn(_ele); + did.add(_ele.id()); + if (hasCompounds) { + recursiveStep(q, did, _ele); + } + } + return eles; +} +function addChildren(q, did, ele) { + if (ele.isParent()) { + var children = ele._private.children; + for (var i = 0; i < children.length; i++) { + var child = children[i]; + if (!did.has(child.id())) { + q.push(child); + } + } + } +} + +// very efficient version of eles.add( eles.descendants() ).forEach() +// for internal use +elesfn$f.forEachDown = function (fn) { + var includeSelf = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; + return forEachCompound(this, fn, includeSelf, addChildren); +}; +function addParent(q, did, ele) { + if (ele.isChild()) { + var parent = ele._private.parent; + if (!did.has(parent.id())) { + q.push(parent); + } + } +} +elesfn$f.forEachUp = function (fn) { + var includeSelf = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; + return forEachCompound(this, fn, includeSelf, addParent); +}; +function addParentAndChildren(q, did, ele) { + addParent(q, did, ele); + addChildren(q, did, ele); +} +elesfn$f.forEachUpAndDown = function (fn) { + var includeSelf = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; + return forEachCompound(this, fn, includeSelf, addParentAndChildren); +}; + +// aliases +elesfn$f.ancestors = elesfn$f.parents; + +var fn$5, elesfn$e; +fn$5 = elesfn$e = { + data: define.data({ + field: 'data', + bindingEvent: 'data', + allowBinding: true, + allowSetting: true, + settingEvent: 'data', + settingTriggersEvent: true, + triggerFnName: 'trigger', + allowGetting: true, + immutableKeys: { + 'id': true, + 'source': true, + 'target': true, + 'parent': true + }, + updateStyle: true + }), + removeData: define.removeData({ + field: 'data', + event: 'data', + triggerFnName: 'trigger', + triggerEvent: true, + immutableKeys: { + 'id': true, + 'source': true, + 'target': true, + 'parent': true + }, + updateStyle: true + }), + scratch: define.data({ + field: 'scratch', + bindingEvent: 'scratch', + allowBinding: true, + allowSetting: true, + settingEvent: 'scratch', + settingTriggersEvent: true, + triggerFnName: 'trigger', + allowGetting: true, + updateStyle: true + }), + removeScratch: define.removeData({ + field: 'scratch', + event: 'scratch', + triggerFnName: 'trigger', + triggerEvent: true, + updateStyle: true + }), + rscratch: define.data({ + field: 'rscratch', + allowBinding: false, + allowSetting: true, + settingTriggersEvent: false, + allowGetting: true + }), + removeRscratch: define.removeData({ + field: 'rscratch', + triggerEvent: false + }), + id: function id() { + var ele = this[0]; + if (ele) { + return ele._private.data.id; + } + } +}; + +// aliases +fn$5.attr = fn$5.data; +fn$5.removeAttr = fn$5.removeData; +var data = elesfn$e; + +var elesfn$d = {}; +function defineDegreeFunction(callback) { + return function (includeLoops) { + var self = this; + if (includeLoops === undefined) { + includeLoops = true; + } + if (self.length === 0) { + return; + } + if (self.isNode() && !self.removed()) { + var degree = 0; + var node = self[0]; + var connectedEdges = node._private.edges; + for (var i = 0; i < connectedEdges.length; i++) { + var edge = connectedEdges[i]; + if (!includeLoops && edge.isLoop()) { + continue; + } + degree += callback(node, edge); + } + return degree; + } else { + return; + } + }; +} +extend(elesfn$d, { + degree: defineDegreeFunction(function (node, edge) { + if (edge.source().same(edge.target())) { + return 2; + } else { + return 1; + } + }), + indegree: defineDegreeFunction(function (node, edge) { + if (edge.target().same(node)) { + return 1; + } else { + return 0; + } + }), + outdegree: defineDegreeFunction(function (node, edge) { + if (edge.source().same(node)) { + return 1; + } else { + return 0; + } + }) +}); +function defineDegreeBoundsFunction(degreeFn, callback) { + return function (includeLoops) { + var ret; + var nodes = this.nodes(); + for (var i = 0; i < nodes.length; i++) { + var ele = nodes[i]; + var degree = ele[degreeFn](includeLoops); + if (degree !== undefined && (ret === undefined || callback(degree, ret))) { + ret = degree; + } + } + return ret; + }; +} +extend(elesfn$d, { + minDegree: defineDegreeBoundsFunction('degree', function (degree, min) { + return degree < min; + }), + maxDegree: defineDegreeBoundsFunction('degree', function (degree, max) { + return degree > max; + }), + minIndegree: defineDegreeBoundsFunction('indegree', function (degree, min) { + return degree < min; + }), + maxIndegree: defineDegreeBoundsFunction('indegree', function (degree, max) { + return degree > max; + }), + minOutdegree: defineDegreeBoundsFunction('outdegree', function (degree, min) { + return degree < min; + }), + maxOutdegree: defineDegreeBoundsFunction('outdegree', function (degree, max) { + return degree > max; + }) +}); +extend(elesfn$d, { + totalDegree: function totalDegree(includeLoops) { + var total = 0; + var nodes = this.nodes(); + for (var i = 0; i < nodes.length; i++) { + total += nodes[i].degree(includeLoops); + } + return total; + } +}); + +var fn$4, elesfn$c; +var beforePositionSet = function beforePositionSet(eles, newPos, silent) { + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + if (!ele.locked()) { + var oldPos = ele._private.position; + var delta = { + x: newPos.x != null ? newPos.x - oldPos.x : 0, + y: newPos.y != null ? newPos.y - oldPos.y : 0 + }; + if (ele.isParent() && !(delta.x === 0 && delta.y === 0)) { + ele.children().shift(delta, silent); + } + ele.dirtyBoundingBoxCache(); + } + } +}; +var positionDef = { + field: 'position', + bindingEvent: 'position', + allowBinding: true, + allowSetting: true, + settingEvent: 'position', + settingTriggersEvent: true, + triggerFnName: 'emitAndNotify', + allowGetting: true, + validKeys: ['x', 'y'], + beforeGet: function beforeGet(ele) { + ele.updateCompoundBounds(); + }, + beforeSet: function beforeSet(eles, newPos) { + beforePositionSet(eles, newPos, false); + }, + onSet: function onSet(eles) { + eles.dirtyCompoundBoundsCache(); + }, + canSet: function canSet(ele) { + return !ele.locked(); + } +}; +fn$4 = elesfn$c = { + position: define.data(positionDef), + // position but no notification to renderer + silentPosition: define.data(extend({}, positionDef, { + allowBinding: false, + allowSetting: true, + settingTriggersEvent: false, + allowGetting: false, + beforeSet: function beforeSet(eles, newPos) { + beforePositionSet(eles, newPos, true); + }, + onSet: function onSet(eles) { + eles.dirtyCompoundBoundsCache(); + } + })), + positions: function positions(pos, silent) { + if (plainObject(pos)) { + if (silent) { + this.silentPosition(pos); + } else { + this.position(pos); + } + } else if (fn$6(pos)) { + var _fn = pos; + var cy = this.cy(); + cy.startBatch(); + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var _pos = void 0; + if (_pos = _fn(ele, i)) { + if (silent) { + ele.silentPosition(_pos); + } else { + ele.position(_pos); + } + } + } + cy.endBatch(); + } + return this; // chaining + }, + + silentPositions: function silentPositions(pos) { + return this.positions(pos, true); + }, + shift: function shift(dim, val, silent) { + var delta; + if (plainObject(dim)) { + delta = { + x: number$1(dim.x) ? dim.x : 0, + y: number$1(dim.y) ? dim.y : 0 + }; + silent = val; + } else if (string(dim) && number$1(val)) { + delta = { + x: 0, + y: 0 + }; + delta[dim] = val; + } + if (delta != null) { + var cy = this.cy(); + cy.startBatch(); + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + + // exclude any node that is a descendant of the calling collection + if (cy.hasCompoundNodes() && ele.isChild() && ele.ancestors().anySame(this)) { + continue; + } + var pos = ele.position(); + var newPos = { + x: pos.x + delta.x, + y: pos.y + delta.y + }; + if (silent) { + ele.silentPosition(newPos); + } else { + ele.position(newPos); + } + } + cy.endBatch(); + } + return this; + }, + silentShift: function silentShift(dim, val) { + if (plainObject(dim)) { + this.shift(dim, true); + } else if (string(dim) && number$1(val)) { + this.shift(dim, val, true); + } + return this; + }, + // get/set the rendered (i.e. on screen) positon of the element + renderedPosition: function renderedPosition(dim, val) { + var ele = this[0]; + var cy = this.cy(); + var zoom = cy.zoom(); + var pan = cy.pan(); + var rpos = plainObject(dim) ? dim : undefined; + var setting = rpos !== undefined || val !== undefined && string(dim); + if (ele && ele.isNode()) { + // must have an element and must be a node to return position + if (setting) { + for (var i = 0; i < this.length; i++) { + var _ele = this[i]; + if (val !== undefined) { + // set one dimension + _ele.position(dim, (val - pan[dim]) / zoom); + } else if (rpos !== undefined) { + // set whole position + _ele.position(renderedToModelPosition(rpos, zoom, pan)); + } + } + } else { + // getting + var pos = ele.position(); + rpos = modelToRenderedPosition(pos, zoom, pan); + if (dim === undefined) { + // then return the whole rendered position + return rpos; + } else { + // then return the specified dimension + return rpos[dim]; + } + } + } else if (!setting) { + return undefined; // for empty collection case + } + + return this; // chaining + }, + + // get/set the position relative to the parent + relativePosition: function relativePosition(dim, val) { + var ele = this[0]; + var cy = this.cy(); + var ppos = plainObject(dim) ? dim : undefined; + var setting = ppos !== undefined || val !== undefined && string(dim); + var hasCompoundNodes = cy.hasCompoundNodes(); + if (ele && ele.isNode()) { + // must have an element and must be a node to return position + if (setting) { + for (var i = 0; i < this.length; i++) { + var _ele2 = this[i]; + var parent = hasCompoundNodes ? _ele2.parent() : null; + var hasParent = parent && parent.length > 0; + var relativeToParent = hasParent; + if (hasParent) { + parent = parent[0]; + } + var origin = relativeToParent ? parent.position() : { + x: 0, + y: 0 + }; + if (val !== undefined) { + // set one dimension + _ele2.position(dim, val + origin[dim]); + } else if (ppos !== undefined) { + // set whole position + _ele2.position({ + x: ppos.x + origin.x, + y: ppos.y + origin.y + }); + } + } + } else { + // getting + var pos = ele.position(); + var _parent = hasCompoundNodes ? ele.parent() : null; + var _hasParent = _parent && _parent.length > 0; + var _relativeToParent = _hasParent; + if (_hasParent) { + _parent = _parent[0]; + } + var _origin = _relativeToParent ? _parent.position() : { + x: 0, + y: 0 + }; + ppos = { + x: pos.x - _origin.x, + y: pos.y - _origin.y + }; + if (dim === undefined) { + // then return the whole rendered position + return ppos; + } else { + // then return the specified dimension + return ppos[dim]; + } + } + } else if (!setting) { + return undefined; // for empty collection case + } + + return this; // chaining + } +}; + +// aliases +fn$4.modelPosition = fn$4.point = fn$4.position; +fn$4.modelPositions = fn$4.points = fn$4.positions; +fn$4.renderedPoint = fn$4.renderedPosition; +fn$4.relativePoint = fn$4.relativePosition; +var position = elesfn$c; + +var fn$3, elesfn$b; +fn$3 = elesfn$b = {}; +elesfn$b.renderedBoundingBox = function (options) { + var bb = this.boundingBox(options); + var cy = this.cy(); + var zoom = cy.zoom(); + var pan = cy.pan(); + var x1 = bb.x1 * zoom + pan.x; + var x2 = bb.x2 * zoom + pan.x; + var y1 = bb.y1 * zoom + pan.y; + var y2 = bb.y2 * zoom + pan.y; + return { + x1: x1, + x2: x2, + y1: y1, + y2: y2, + w: x2 - x1, + h: y2 - y1 + }; +}; +elesfn$b.dirtyCompoundBoundsCache = function () { + var silent = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : false; + var cy = this.cy(); + if (!cy.styleEnabled() || !cy.hasCompoundNodes()) { + return this; + } + this.forEachUp(function (ele) { + if (ele.isParent()) { + var _p = ele._private; + _p.compoundBoundsClean = false; + _p.bbCache = null; + if (!silent) { + ele.emitAndNotify('bounds'); + } + } + }); + return this; +}; +elesfn$b.updateCompoundBounds = function () { + var force = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : false; + var cy = this.cy(); + + // not possible to do on non-compound graphs or with the style disabled + if (!cy.styleEnabled() || !cy.hasCompoundNodes()) { + return this; + } + + // save cycles when batching -- but bounds will be stale (or not exist yet) + if (!force && cy.batching()) { + return this; + } + function update(parent) { + if (!parent.isParent()) { + return; + } + var _p = parent._private; + var children = parent.children(); + var includeLabels = parent.pstyle('compound-sizing-wrt-labels').value === 'include'; + var min = { + width: { + val: parent.pstyle('min-width').pfValue, + left: parent.pstyle('min-width-bias-left'), + right: parent.pstyle('min-width-bias-right') + }, + height: { + val: parent.pstyle('min-height').pfValue, + top: parent.pstyle('min-height-bias-top'), + bottom: parent.pstyle('min-height-bias-bottom') + } + }; + var bb = children.boundingBox({ + includeLabels: includeLabels, + includeOverlays: false, + // updating the compound bounds happens outside of the regular + // cache cycle (i.e. before fired events) + useCache: false + }); + var pos = _p.position; + + // if children take up zero area then keep position and fall back on stylesheet w/h + if (bb.w === 0 || bb.h === 0) { + bb = { + w: parent.pstyle('width').pfValue, + h: parent.pstyle('height').pfValue + }; + bb.x1 = pos.x - bb.w / 2; + bb.x2 = pos.x + bb.w / 2; + bb.y1 = pos.y - bb.h / 2; + bb.y2 = pos.y + bb.h / 2; + } + function computeBiasValues(propDiff, propBias, propBiasComplement) { + var biasDiff = 0; + var biasComplementDiff = 0; + var biasTotal = propBias + propBiasComplement; + if (propDiff > 0 && biasTotal > 0) { + biasDiff = propBias / biasTotal * propDiff; + biasComplementDiff = propBiasComplement / biasTotal * propDiff; + } + return { + biasDiff: biasDiff, + biasComplementDiff: biasComplementDiff + }; + } + function computePaddingValues(width, height, paddingObject, relativeTo) { + // Assuming percentage is number from 0 to 1 + if (paddingObject.units === '%') { + switch (relativeTo) { + case 'width': + return width > 0 ? paddingObject.pfValue * width : 0; + case 'height': + return height > 0 ? paddingObject.pfValue * height : 0; + case 'average': + return width > 0 && height > 0 ? paddingObject.pfValue * (width + height) / 2 : 0; + case 'min': + return width > 0 && height > 0 ? width > height ? paddingObject.pfValue * height : paddingObject.pfValue * width : 0; + case 'max': + return width > 0 && height > 0 ? width > height ? paddingObject.pfValue * width : paddingObject.pfValue * height : 0; + default: + return 0; + } + } else if (paddingObject.units === 'px') { + return paddingObject.pfValue; + } else { + return 0; + } + } + var leftVal = min.width.left.value; + if (min.width.left.units === 'px' && min.width.val > 0) { + leftVal = leftVal * 100 / min.width.val; + } + var rightVal = min.width.right.value; + if (min.width.right.units === 'px' && min.width.val > 0) { + rightVal = rightVal * 100 / min.width.val; + } + var topVal = min.height.top.value; + if (min.height.top.units === 'px' && min.height.val > 0) { + topVal = topVal * 100 / min.height.val; + } + var bottomVal = min.height.bottom.value; + if (min.height.bottom.units === 'px' && min.height.val > 0) { + bottomVal = bottomVal * 100 / min.height.val; + } + var widthBiasDiffs = computeBiasValues(min.width.val - bb.w, leftVal, rightVal); + var diffLeft = widthBiasDiffs.biasDiff; + var diffRight = widthBiasDiffs.biasComplementDiff; + var heightBiasDiffs = computeBiasValues(min.height.val - bb.h, topVal, bottomVal); + var diffTop = heightBiasDiffs.biasDiff; + var diffBottom = heightBiasDiffs.biasComplementDiff; + _p.autoPadding = computePaddingValues(bb.w, bb.h, parent.pstyle('padding'), parent.pstyle('padding-relative-to').value); + _p.autoWidth = Math.max(bb.w, min.width.val); + pos.x = (-diffLeft + bb.x1 + bb.x2 + diffRight) / 2; + _p.autoHeight = Math.max(bb.h, min.height.val); + pos.y = (-diffTop + bb.y1 + bb.y2 + diffBottom) / 2; + } + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var _p = ele._private; + if (!_p.compoundBoundsClean || force) { + update(ele); + if (!cy.batching()) { + _p.compoundBoundsClean = true; + } + } + } + return this; +}; +var noninf = function noninf(x) { + if (x === Infinity || x === -Infinity) { + return 0; + } + return x; +}; +var updateBounds = function updateBounds(b, x1, y1, x2, y2) { + // don't update with zero area boxes + if (x2 - x1 === 0 || y2 - y1 === 0) { + return; + } + + // don't update with null dim + if (x1 == null || y1 == null || x2 == null || y2 == null) { + return; + } + b.x1 = x1 < b.x1 ? x1 : b.x1; + b.x2 = x2 > b.x2 ? x2 : b.x2; + b.y1 = y1 < b.y1 ? y1 : b.y1; + b.y2 = y2 > b.y2 ? y2 : b.y2; + b.w = b.x2 - b.x1; + b.h = b.y2 - b.y1; +}; +var updateBoundsFromBox = function updateBoundsFromBox(b, b2) { + if (b2 == null) { + return b; + } + return updateBounds(b, b2.x1, b2.y1, b2.x2, b2.y2); +}; +var prefixedProperty = function prefixedProperty(obj, field, prefix) { + return getPrefixedProperty(obj, field, prefix); +}; +var updateBoundsFromArrow = function updateBoundsFromArrow(bounds, ele, prefix) { + if (ele.cy().headless()) { + return; + } + var _p = ele._private; + var rstyle = _p.rstyle; + var halfArW = rstyle.arrowWidth / 2; + var arrowType = ele.pstyle(prefix + '-arrow-shape').value; + var x; + var y; + if (arrowType !== 'none') { + if (prefix === 'source') { + x = rstyle.srcX; + y = rstyle.srcY; + } else if (prefix === 'target') { + x = rstyle.tgtX; + y = rstyle.tgtY; + } else { + x = rstyle.midX; + y = rstyle.midY; + } + + // always store the individual arrow bounds + var bbs = _p.arrowBounds = _p.arrowBounds || {}; + var bb = bbs[prefix] = bbs[prefix] || {}; + bb.x1 = x - halfArW; + bb.y1 = y - halfArW; + bb.x2 = x + halfArW; + bb.y2 = y + halfArW; + bb.w = bb.x2 - bb.x1; + bb.h = bb.y2 - bb.y1; + expandBoundingBox(bb, 1); + updateBounds(bounds, bb.x1, bb.y1, bb.x2, bb.y2); + } +}; +var updateBoundsFromLabel = function updateBoundsFromLabel(bounds, ele, prefix) { + if (ele.cy().headless()) { + return; + } + var prefixDash; + if (prefix) { + prefixDash = prefix + '-'; + } else { + prefixDash = ''; + } + var _p = ele._private; + var rstyle = _p.rstyle; + var label = ele.pstyle(prefixDash + 'label').strValue; + if (label) { + var halign = ele.pstyle('text-halign'); + var valign = ele.pstyle('text-valign'); + var labelWidth = prefixedProperty(rstyle, 'labelWidth', prefix); + var labelHeight = prefixedProperty(rstyle, 'labelHeight', prefix); + var labelX = prefixedProperty(rstyle, 'labelX', prefix); + var labelY = prefixedProperty(rstyle, 'labelY', prefix); + var marginX = ele.pstyle(prefixDash + 'text-margin-x').pfValue; + var marginY = ele.pstyle(prefixDash + 'text-margin-y').pfValue; + var isEdge = ele.isEdge(); + var rotation = ele.pstyle(prefixDash + 'text-rotation'); + var outlineWidth = ele.pstyle('text-outline-width').pfValue; + var borderWidth = ele.pstyle('text-border-width').pfValue; + var halfBorderWidth = borderWidth / 2; + var padding = ele.pstyle('text-background-padding').pfValue; + var marginOfError = 2; // expand to work around browser dimension inaccuracies + + var lh = labelHeight; + var lw = labelWidth; + var lw_2 = lw / 2; + var lh_2 = lh / 2; + var lx1, lx2, ly1, ly2; + if (isEdge) { + lx1 = labelX - lw_2; + lx2 = labelX + lw_2; + ly1 = labelY - lh_2; + ly2 = labelY + lh_2; + } else { + switch (halign.value) { + case 'left': + lx1 = labelX - lw; + lx2 = labelX; + break; + case 'center': + lx1 = labelX - lw_2; + lx2 = labelX + lw_2; + break; + case 'right': + lx1 = labelX; + lx2 = labelX + lw; + break; + } + switch (valign.value) { + case 'top': + ly1 = labelY - lh; + ly2 = labelY; + break; + case 'center': + ly1 = labelY - lh_2; + ly2 = labelY + lh_2; + break; + case 'bottom': + ly1 = labelY; + ly2 = labelY + lh; + break; + } + } + + // shift by margin and expand by outline and border + lx1 += marginX - Math.max(outlineWidth, halfBorderWidth) - padding - marginOfError; + lx2 += marginX + Math.max(outlineWidth, halfBorderWidth) + padding + marginOfError; + ly1 += marginY - Math.max(outlineWidth, halfBorderWidth) - padding - marginOfError; + ly2 += marginY + Math.max(outlineWidth, halfBorderWidth) + padding + marginOfError; + + // always store the unrotated label bounds separately + var bbPrefix = prefix || 'main'; + var bbs = _p.labelBounds; + var bb = bbs[bbPrefix] = bbs[bbPrefix] || {}; + bb.x1 = lx1; + bb.y1 = ly1; + bb.x2 = lx2; + bb.y2 = ly2; + bb.w = lx2 - lx1; + bb.h = ly2 - ly1; + var isAutorotate = isEdge && rotation.strValue === 'autorotate'; + var isPfValue = rotation.pfValue != null && rotation.pfValue !== 0; + if (isAutorotate || isPfValue) { + var theta = isAutorotate ? prefixedProperty(_p.rstyle, 'labelAngle', prefix) : rotation.pfValue; + var cos = Math.cos(theta); + var sin = Math.sin(theta); + + // rotation point (default value for center-center) + var xo = (lx1 + lx2) / 2; + var yo = (ly1 + ly2) / 2; + if (!isEdge) { + switch (halign.value) { + case 'left': + xo = lx2; + break; + case 'right': + xo = lx1; + break; + } + switch (valign.value) { + case 'top': + yo = ly2; + break; + case 'bottom': + yo = ly1; + break; + } + } + var rotate = function rotate(x, y) { + x = x - xo; + y = y - yo; + return { + x: x * cos - y * sin + xo, + y: x * sin + y * cos + yo + }; + }; + var px1y1 = rotate(lx1, ly1); + var px1y2 = rotate(lx1, ly2); + var px2y1 = rotate(lx2, ly1); + var px2y2 = rotate(lx2, ly2); + lx1 = Math.min(px1y1.x, px1y2.x, px2y1.x, px2y2.x); + lx2 = Math.max(px1y1.x, px1y2.x, px2y1.x, px2y2.x); + ly1 = Math.min(px1y1.y, px1y2.y, px2y1.y, px2y2.y); + ly2 = Math.max(px1y1.y, px1y2.y, px2y1.y, px2y2.y); + } + var bbPrefixRot = bbPrefix + 'Rot'; + var bbRot = bbs[bbPrefixRot] = bbs[bbPrefixRot] || {}; + bbRot.x1 = lx1; + bbRot.y1 = ly1; + bbRot.x2 = lx2; + bbRot.y2 = ly2; + bbRot.w = lx2 - lx1; + bbRot.h = ly2 - ly1; + updateBounds(bounds, lx1, ly1, lx2, ly2); + updateBounds(_p.labelBounds.all, lx1, ly1, lx2, ly2); + } + return bounds; +}; +var updateBoundsFromOutline = function updateBoundsFromOutline(bounds, ele) { + if (ele.cy().headless()) { + return; + } + var outlineOpacity = ele.pstyle('outline-opacity').value; + var outlineWidth = ele.pstyle('outline-width').value; + if (outlineOpacity > 0 && outlineWidth > 0) { + var outlineOffset = ele.pstyle('outline-offset').value; + var nodeShape = ele.pstyle('shape').value; + var outlineSize = outlineWidth + outlineOffset; + var scaleX = (bounds.w + outlineSize * 2) / bounds.w; + var scaleY = (bounds.h + outlineSize * 2) / bounds.h; + var xOffset = 0; + var yOffset = 0; + if (["diamond", "pentagon", "round-triangle"].includes(nodeShape)) { + scaleX = (bounds.w + outlineSize * 2.4) / bounds.w; + yOffset = -outlineSize / 3.6; + } else if (["concave-hexagon", "rhomboid", "right-rhomboid"].includes(nodeShape)) { + scaleX = (bounds.w + outlineSize * 2.4) / bounds.w; + } else if (nodeShape === "star") { + scaleX = (bounds.w + outlineSize * 2.8) / bounds.w; + scaleY = (bounds.h + outlineSize * 2.6) / bounds.h; + yOffset = -outlineSize / 3.8; + } else if (nodeShape === "triangle") { + scaleX = (bounds.w + outlineSize * 2.8) / bounds.w; + scaleY = (bounds.h + outlineSize * 2.4) / bounds.h; + yOffset = -outlineSize / 1.4; + } else if (nodeShape === "vee") { + scaleX = (bounds.w + outlineSize * 4.4) / bounds.w; + scaleY = (bounds.h + outlineSize * 3.8) / bounds.h; + yOffset = -outlineSize * .5; + } + var hDelta = bounds.h * scaleY - bounds.h; + var wDelta = bounds.w * scaleX - bounds.w; + expandBoundingBoxSides(bounds, [Math.ceil(hDelta / 2), Math.ceil(wDelta / 2)]); + if (xOffset != 0 || yOffset !== 0) { + var oBounds = shiftBoundingBox(bounds, xOffset, yOffset); + updateBoundingBox(bounds, oBounds); + } + } +}; + +// get the bounding box of the elements (in raw model position) +var boundingBoxImpl = function boundingBoxImpl(ele, options) { + var cy = ele._private.cy; + var styleEnabled = cy.styleEnabled(); + var headless = cy.headless(); + var bounds = makeBoundingBox(); + var _p = ele._private; + var isNode = ele.isNode(); + var isEdge = ele.isEdge(); + var ex1, ex2, ey1, ey2; // extrema of body / lines + var x, y; // node pos + var rstyle = _p.rstyle; + var manualExpansion = isNode && styleEnabled ? ele.pstyle('bounds-expansion').pfValue : [0]; + + // must use `display` prop only, as reading `compound.width()` causes recursion + // (other factors like width values will be considered later in this function anyway) + var isDisplayed = function isDisplayed(ele) { + return ele.pstyle('display').value !== 'none'; + }; + var displayed = !styleEnabled || isDisplayed(ele) + + // must take into account connected nodes b/c of implicit edge hiding on display:none node + && (!isEdge || isDisplayed(ele.source()) && isDisplayed(ele.target())); + if (displayed) { + // displayed suffices, since we will find zero area eles anyway + var overlayOpacity = 0; + var overlayPadding = 0; + if (styleEnabled && options.includeOverlays) { + overlayOpacity = ele.pstyle('overlay-opacity').value; + if (overlayOpacity !== 0) { + overlayPadding = ele.pstyle('overlay-padding').value; + } + } + var underlayOpacity = 0; + var underlayPadding = 0; + if (styleEnabled && options.includeUnderlays) { + underlayOpacity = ele.pstyle('underlay-opacity').value; + if (underlayOpacity !== 0) { + underlayPadding = ele.pstyle('underlay-padding').value; + } + } + var padding = Math.max(overlayPadding, underlayPadding); + var w = 0; + var wHalf = 0; + if (styleEnabled) { + w = ele.pstyle('width').pfValue; + wHalf = w / 2; + } + if (isNode && options.includeNodes) { + var pos = ele.position(); + x = pos.x; + y = pos.y; + var _w = ele.outerWidth(); + var halfW = _w / 2; + var h = ele.outerHeight(); + var halfH = h / 2; + + // handle node dimensions + ///////////////////////// + + ex1 = x - halfW; + ex2 = x + halfW; + ey1 = y - halfH; + ey2 = y + halfH; + updateBounds(bounds, ex1, ey1, ex2, ey2); + if (styleEnabled && options.includeOutlines) { + updateBoundsFromOutline(bounds, ele); + } + } else if (isEdge && options.includeEdges) { + if (styleEnabled && !headless) { + var curveStyle = ele.pstyle('curve-style').strValue; + + // handle edge dimensions (rough box estimate) + ////////////////////////////////////////////// + + ex1 = Math.min(rstyle.srcX, rstyle.midX, rstyle.tgtX); + ex2 = Math.max(rstyle.srcX, rstyle.midX, rstyle.tgtX); + ey1 = Math.min(rstyle.srcY, rstyle.midY, rstyle.tgtY); + ey2 = Math.max(rstyle.srcY, rstyle.midY, rstyle.tgtY); + + // take into account edge width + ex1 -= wHalf; + ex2 += wHalf; + ey1 -= wHalf; + ey2 += wHalf; + updateBounds(bounds, ex1, ey1, ex2, ey2); + + // precise edges + //////////////// + + if (curveStyle === 'haystack') { + var hpts = rstyle.haystackPts; + if (hpts && hpts.length === 2) { + ex1 = hpts[0].x; + ey1 = hpts[0].y; + ex2 = hpts[1].x; + ey2 = hpts[1].y; + if (ex1 > ex2) { + var temp = ex1; + ex1 = ex2; + ex2 = temp; + } + if (ey1 > ey2) { + var _temp = ey1; + ey1 = ey2; + ey2 = _temp; + } + updateBounds(bounds, ex1 - wHalf, ey1 - wHalf, ex2 + wHalf, ey2 + wHalf); + } + } else if (curveStyle === 'bezier' || curveStyle === 'unbundled-bezier' || curveStyle === 'segments' || curveStyle === 'taxi') { + var pts; + switch (curveStyle) { + case 'bezier': + case 'unbundled-bezier': + pts = rstyle.bezierPts; + break; + case 'segments': + case 'taxi': + pts = rstyle.linePts; + break; + } + if (pts != null) { + for (var j = 0; j < pts.length; j++) { + var pt = pts[j]; + ex1 = pt.x - wHalf; + ex2 = pt.x + wHalf; + ey1 = pt.y - wHalf; + ey2 = pt.y + wHalf; + updateBounds(bounds, ex1, ey1, ex2, ey2); + } + } + } // bezier-like or segment-like edge + } else { + // headless or style disabled + + // fallback on source and target positions + ////////////////////////////////////////// + + var n1 = ele.source(); + var n1pos = n1.position(); + var n2 = ele.target(); + var n2pos = n2.position(); + ex1 = n1pos.x; + ex2 = n2pos.x; + ey1 = n1pos.y; + ey2 = n2pos.y; + if (ex1 > ex2) { + var _temp2 = ex1; + ex1 = ex2; + ex2 = _temp2; + } + if (ey1 > ey2) { + var _temp3 = ey1; + ey1 = ey2; + ey2 = _temp3; + } + + // take into account edge width + ex1 -= wHalf; + ex2 += wHalf; + ey1 -= wHalf; + ey2 += wHalf; + updateBounds(bounds, ex1, ey1, ex2, ey2); + } // headless or style disabled + } // edges + + // handle edge arrow size + ///////////////////////// + + if (styleEnabled && options.includeEdges && isEdge) { + updateBoundsFromArrow(bounds, ele, 'mid-source'); + updateBoundsFromArrow(bounds, ele, 'mid-target'); + updateBoundsFromArrow(bounds, ele, 'source'); + updateBoundsFromArrow(bounds, ele, 'target'); + } + + // ghost + //////// + + if (styleEnabled) { + var ghost = ele.pstyle('ghost').value === 'yes'; + if (ghost) { + var gx = ele.pstyle('ghost-offset-x').pfValue; + var gy = ele.pstyle('ghost-offset-y').pfValue; + updateBounds(bounds, bounds.x1 + gx, bounds.y1 + gy, bounds.x2 + gx, bounds.y2 + gy); + } + } + + // always store the body bounds separately from the labels + var bbBody = _p.bodyBounds = _p.bodyBounds || {}; + assignBoundingBox(bbBody, bounds); + expandBoundingBoxSides(bbBody, manualExpansion); + expandBoundingBox(bbBody, 1); // expand to work around browser dimension inaccuracies + + // overlay + ////////// + + if (styleEnabled) { + ex1 = bounds.x1; + ex2 = bounds.x2; + ey1 = bounds.y1; + ey2 = bounds.y2; + updateBounds(bounds, ex1 - padding, ey1 - padding, ex2 + padding, ey2 + padding); + } + + // always store the body bounds separately from the labels + var bbOverlay = _p.overlayBounds = _p.overlayBounds || {}; + assignBoundingBox(bbOverlay, bounds); + expandBoundingBoxSides(bbOverlay, manualExpansion); + expandBoundingBox(bbOverlay, 1); // expand to work around browser dimension inaccuracies + + // handle label dimensions + ////////////////////////// + + var bbLabels = _p.labelBounds = _p.labelBounds || {}; + if (bbLabels.all != null) { + clearBoundingBox(bbLabels.all); + } else { + bbLabels.all = makeBoundingBox(); + } + if (styleEnabled && options.includeLabels) { + if (options.includeMainLabels) { + updateBoundsFromLabel(bounds, ele, null); + } + if (isEdge) { + if (options.includeSourceLabels) { + updateBoundsFromLabel(bounds, ele, 'source'); + } + if (options.includeTargetLabels) { + updateBoundsFromLabel(bounds, ele, 'target'); + } + } + } // style enabled for labels + } // if displayed + + bounds.x1 = noninf(bounds.x1); + bounds.y1 = noninf(bounds.y1); + bounds.x2 = noninf(bounds.x2); + bounds.y2 = noninf(bounds.y2); + bounds.w = noninf(bounds.x2 - bounds.x1); + bounds.h = noninf(bounds.y2 - bounds.y1); + if (bounds.w > 0 && bounds.h > 0 && displayed) { + expandBoundingBoxSides(bounds, manualExpansion); + + // expand bounds by 1 because antialiasing can increase the visual/effective size by 1 on all sides + expandBoundingBox(bounds, 1); + } + return bounds; +}; +var getKey = function getKey(opts) { + var i = 0; + var tf = function tf(val) { + return (val ? 1 : 0) << i++; + }; + var key = 0; + key += tf(opts.incudeNodes); + key += tf(opts.includeEdges); + key += tf(opts.includeLabels); + key += tf(opts.includeMainLabels); + key += tf(opts.includeSourceLabels); + key += tf(opts.includeTargetLabels); + key += tf(opts.includeOverlays); + key += tf(opts.includeOutlines); + return key; +}; +var getBoundingBoxPosKey = function getBoundingBoxPosKey(ele) { + if (ele.isEdge()) { + var p1 = ele.source().position(); + var p2 = ele.target().position(); + var r = function r(x) { + return Math.round(x); + }; + return hashIntsArray([r(p1.x), r(p1.y), r(p2.x), r(p2.y)]); + } else { + return 0; + } +}; +var cachedBoundingBoxImpl = function cachedBoundingBoxImpl(ele, opts) { + var _p = ele._private; + var bb; + var isEdge = ele.isEdge(); + var key = opts == null ? defBbOptsKey : getKey(opts); + var usingDefOpts = key === defBbOptsKey; + var currPosKey = getBoundingBoxPosKey(ele); + var isPosKeySame = _p.bbCachePosKey === currPosKey; + var useCache = opts.useCache && isPosKeySame; + var isDirty = function isDirty(ele) { + return ele._private.bbCache == null || ele._private.styleDirty; + }; + var needRecalc = !useCache || isDirty(ele) || isEdge && isDirty(ele.source()) || isDirty(ele.target()); + if (needRecalc) { + if (!isPosKeySame) { + ele.recalculateRenderedStyle(useCache); + } + bb = boundingBoxImpl(ele, defBbOpts); + _p.bbCache = bb; + _p.bbCachePosKey = currPosKey; + } else { + bb = _p.bbCache; + } + + // not using def opts => need to build up bb from combination of sub bbs + if (!usingDefOpts) { + var isNode = ele.isNode(); + bb = makeBoundingBox(); + if (opts.includeNodes && isNode || opts.includeEdges && !isNode) { + if (opts.includeOverlays) { + updateBoundsFromBox(bb, _p.overlayBounds); + } else { + updateBoundsFromBox(bb, _p.bodyBounds); + } + } + if (opts.includeLabels) { + if (opts.includeMainLabels && (!isEdge || opts.includeSourceLabels && opts.includeTargetLabels)) { + updateBoundsFromBox(bb, _p.labelBounds.all); + } else { + if (opts.includeMainLabels) { + updateBoundsFromBox(bb, _p.labelBounds.mainRot); + } + if (opts.includeSourceLabels) { + updateBoundsFromBox(bb, _p.labelBounds.sourceRot); + } + if (opts.includeTargetLabels) { + updateBoundsFromBox(bb, _p.labelBounds.targetRot); + } + } + } + bb.w = bb.x2 - bb.x1; + bb.h = bb.y2 - bb.y1; + } + return bb; +}; +var defBbOpts = { + includeNodes: true, + includeEdges: true, + includeLabels: true, + includeMainLabels: true, + includeSourceLabels: true, + includeTargetLabels: true, + includeOverlays: true, + includeUnderlays: true, + includeOutlines: true, + useCache: true +}; +var defBbOptsKey = getKey(defBbOpts); +var filledBbOpts = defaults$g(defBbOpts); +elesfn$b.boundingBox = function (options) { + var bounds; + + // the main usecase is ele.boundingBox() for a single element with no/def options + // specified s.t. the cache is used, so check for this case to make it faster by + // avoiding the overhead of the rest of the function + if (this.length === 1 && this[0]._private.bbCache != null && !this[0]._private.styleDirty && (options === undefined || options.useCache === undefined || options.useCache === true)) { + if (options === undefined) { + options = defBbOpts; + } else { + options = filledBbOpts(options); + } + bounds = cachedBoundingBoxImpl(this[0], options); + } else { + bounds = makeBoundingBox(); + options = options || defBbOpts; + var opts = filledBbOpts(options); + var eles = this; + var cy = eles.cy(); + var styleEnabled = cy.styleEnabled(); + if (styleEnabled) { + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var _p = ele._private; + var currPosKey = getBoundingBoxPosKey(ele); + var isPosKeySame = _p.bbCachePosKey === currPosKey; + var useCache = opts.useCache && isPosKeySame && !_p.styleDirty; + ele.recalculateRenderedStyle(useCache); + } + } + this.updateCompoundBounds(!options.useCache); + for (var _i = 0; _i < eles.length; _i++) { + var _ele = eles[_i]; + updateBoundsFromBox(bounds, cachedBoundingBoxImpl(_ele, opts)); + } + } + bounds.x1 = noninf(bounds.x1); + bounds.y1 = noninf(bounds.y1); + bounds.x2 = noninf(bounds.x2); + bounds.y2 = noninf(bounds.y2); + bounds.w = noninf(bounds.x2 - bounds.x1); + bounds.h = noninf(bounds.y2 - bounds.y1); + return bounds; +}; +elesfn$b.dirtyBoundingBoxCache = function () { + for (var i = 0; i < this.length; i++) { + var _p = this[i]._private; + _p.bbCache = null; + _p.bbCachePosKey = null; + _p.bodyBounds = null; + _p.overlayBounds = null; + _p.labelBounds.all = null; + _p.labelBounds.source = null; + _p.labelBounds.target = null; + _p.labelBounds.main = null; + _p.labelBounds.sourceRot = null; + _p.labelBounds.targetRot = null; + _p.labelBounds.mainRot = null; + _p.arrowBounds.source = null; + _p.arrowBounds.target = null; + _p.arrowBounds['mid-source'] = null; + _p.arrowBounds['mid-target'] = null; + } + this.emitAndNotify('bounds'); + return this; +}; + +// private helper to get bounding box for custom node positions +// - good for perf in certain cases but currently requires dirtying the rendered style +// - would be better to not modify the nodes but the nodes are read directly everywhere in the renderer... +// - try to use for only things like discrete layouts where the node position would change anyway +elesfn$b.boundingBoxAt = function (fn) { + var nodes = this.nodes(); + var cy = this.cy(); + var hasCompoundNodes = cy.hasCompoundNodes(); + var parents = cy.collection(); + if (hasCompoundNodes) { + parents = nodes.filter(function (node) { + return node.isParent(); + }); + nodes = nodes.not(parents); + } + if (plainObject(fn)) { + var obj = fn; + fn = function fn() { + return obj; + }; + } + var storeOldPos = function storeOldPos(node, i) { + return node._private.bbAtOldPos = fn(node, i); + }; + var getOldPos = function getOldPos(node) { + return node._private.bbAtOldPos; + }; + cy.startBatch(); + nodes.forEach(storeOldPos).silentPositions(fn); + if (hasCompoundNodes) { + parents.dirtyCompoundBoundsCache(); + parents.dirtyBoundingBoxCache(); + parents.updateCompoundBounds(true); // force update b/c we're inside a batch cycle + } + + var bb = copyBoundingBox(this.boundingBox({ + useCache: false + })); + nodes.silentPositions(getOldPos); + if (hasCompoundNodes) { + parents.dirtyCompoundBoundsCache(); + parents.dirtyBoundingBoxCache(); + parents.updateCompoundBounds(true); // force update b/c we're inside a batch cycle + } + + cy.endBatch(); + return bb; +}; +fn$3.boundingbox = fn$3.bb = fn$3.boundingBox; +fn$3.renderedBoundingbox = fn$3.renderedBoundingBox; +var bounds = elesfn$b; + +var fn$2, elesfn$a; +fn$2 = elesfn$a = {}; +var defineDimFns = function defineDimFns(opts) { + opts.uppercaseName = capitalize(opts.name); + opts.autoName = 'auto' + opts.uppercaseName; + opts.labelName = 'label' + opts.uppercaseName; + opts.outerName = 'outer' + opts.uppercaseName; + opts.uppercaseOuterName = capitalize(opts.outerName); + fn$2[opts.name] = function dimImpl() { + var ele = this[0]; + var _p = ele._private; + var cy = _p.cy; + var styleEnabled = cy._private.styleEnabled; + if (ele) { + if (styleEnabled) { + if (ele.isParent()) { + ele.updateCompoundBounds(); + return _p[opts.autoName] || 0; + } + var d = ele.pstyle(opts.name); + switch (d.strValue) { + case 'label': + ele.recalculateRenderedStyle(); + return _p.rstyle[opts.labelName] || 0; + default: + return d.pfValue; + } + } else { + return 1; + } + } + }; + fn$2['outer' + opts.uppercaseName] = function outerDimImpl() { + var ele = this[0]; + var _p = ele._private; + var cy = _p.cy; + var styleEnabled = cy._private.styleEnabled; + if (ele) { + if (styleEnabled) { + var dim = ele[opts.name](); + var border = ele.pstyle('border-width').pfValue; // n.b. 1/2 each side + var padding = 2 * ele.padding(); + return dim + border + padding; + } else { + return 1; + } + } + }; + fn$2['rendered' + opts.uppercaseName] = function renderedDimImpl() { + var ele = this[0]; + if (ele) { + var d = ele[opts.name](); + return d * this.cy().zoom(); + } + }; + fn$2['rendered' + opts.uppercaseOuterName] = function renderedOuterDimImpl() { + var ele = this[0]; + if (ele) { + var od = ele[opts.outerName](); + return od * this.cy().zoom(); + } + }; +}; +defineDimFns({ + name: 'width' +}); +defineDimFns({ + name: 'height' +}); +elesfn$a.padding = function () { + var ele = this[0]; + var _p = ele._private; + if (ele.isParent()) { + ele.updateCompoundBounds(); + if (_p.autoPadding !== undefined) { + return _p.autoPadding; + } else { + return ele.pstyle('padding').pfValue; + } + } else { + return ele.pstyle('padding').pfValue; + } +}; +elesfn$a.paddedHeight = function () { + var ele = this[0]; + return ele.height() + 2 * ele.padding(); +}; +elesfn$a.paddedWidth = function () { + var ele = this[0]; + return ele.width() + 2 * ele.padding(); +}; +var widthHeight = elesfn$a; + +var ifEdge = function ifEdge(ele, getValue) { + if (ele.isEdge()) { + return getValue(ele); + } +}; +var ifEdgeRenderedPosition = function ifEdgeRenderedPosition(ele, getPoint) { + if (ele.isEdge()) { + var cy = ele.cy(); + return modelToRenderedPosition(getPoint(ele), cy.zoom(), cy.pan()); + } +}; +var ifEdgeRenderedPositions = function ifEdgeRenderedPositions(ele, getPoints) { + if (ele.isEdge()) { + var cy = ele.cy(); + var pan = cy.pan(); + var zoom = cy.zoom(); + return getPoints(ele).map(function (p) { + return modelToRenderedPosition(p, zoom, pan); + }); + } +}; +var controlPoints = function controlPoints(ele) { + return ele.renderer().getControlPoints(ele); +}; +var segmentPoints = function segmentPoints(ele) { + return ele.renderer().getSegmentPoints(ele); +}; +var sourceEndpoint = function sourceEndpoint(ele) { + return ele.renderer().getSourceEndpoint(ele); +}; +var targetEndpoint = function targetEndpoint(ele) { + return ele.renderer().getTargetEndpoint(ele); +}; +var midpoint = function midpoint(ele) { + return ele.renderer().getEdgeMidpoint(ele); +}; +var pts = { + controlPoints: { + get: controlPoints, + mult: true + }, + segmentPoints: { + get: segmentPoints, + mult: true + }, + sourceEndpoint: { + get: sourceEndpoint + }, + targetEndpoint: { + get: targetEndpoint + }, + midpoint: { + get: midpoint + } +}; +var renderedName = function renderedName(name) { + return 'rendered' + name[0].toUpperCase() + name.substr(1); +}; +var edgePoints = Object.keys(pts).reduce(function (obj, name) { + var spec = pts[name]; + var rName = renderedName(name); + obj[name] = function () { + return ifEdge(this, spec.get); + }; + if (spec.mult) { + obj[rName] = function () { + return ifEdgeRenderedPositions(this, spec.get); + }; + } else { + obj[rName] = function () { + return ifEdgeRenderedPosition(this, spec.get); + }; + } + return obj; +}, {}); + +var dimensions = extend({}, position, bounds, widthHeight, edgePoints); + +/*! +Event object based on jQuery events, MIT license + +https://jquery.org/license/ +https://tldrlegal.com/license/mit-license +https://github.com/jquery/jquery/blob/master/src/event.js +*/ + +var Event = function Event(src, props) { + this.recycle(src, props); +}; +function returnFalse() { + return false; +} +function returnTrue() { + return true; +} + +// http://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html +Event.prototype = { + instanceString: function instanceString() { + return 'event'; + }, + recycle: function recycle(src, props) { + this.isImmediatePropagationStopped = this.isPropagationStopped = this.isDefaultPrevented = returnFalse; + if (src != null && src.preventDefault) { + // Browser Event object + this.type = src.type; + + // Events bubbling up the document may have been marked as prevented + // by a handler lower down the tree; reflect the correct value. + this.isDefaultPrevented = src.defaultPrevented ? returnTrue : returnFalse; + } else if (src != null && src.type) { + // Plain object containing all event details + props = src; + } else { + // Event string + this.type = src; + } + + // Put explicitly provided properties onto the event object + if (props != null) { + // more efficient to manually copy fields we use + this.originalEvent = props.originalEvent; + this.type = props.type != null ? props.type : this.type; + this.cy = props.cy; + this.target = props.target; + this.position = props.position; + this.renderedPosition = props.renderedPosition; + this.namespace = props.namespace; + this.layout = props.layout; + } + if (this.cy != null && this.position != null && this.renderedPosition == null) { + // create a rendered position based on the passed position + var pos = this.position; + var zoom = this.cy.zoom(); + var pan = this.cy.pan(); + this.renderedPosition = { + x: pos.x * zoom + pan.x, + y: pos.y * zoom + pan.y + }; + } + + // Create a timestamp if incoming event doesn't have one + this.timeStamp = src && src.timeStamp || Date.now(); + }, + preventDefault: function preventDefault() { + this.isDefaultPrevented = returnTrue; + var e = this.originalEvent; + if (!e) { + return; + } + + // if preventDefault exists run it on the original event + if (e.preventDefault) { + e.preventDefault(); + } + }, + stopPropagation: function stopPropagation() { + this.isPropagationStopped = returnTrue; + var e = this.originalEvent; + if (!e) { + return; + } + + // if stopPropagation exists run it on the original event + if (e.stopPropagation) { + e.stopPropagation(); + } + }, + stopImmediatePropagation: function stopImmediatePropagation() { + this.isImmediatePropagationStopped = returnTrue; + this.stopPropagation(); + }, + isDefaultPrevented: returnFalse, + isPropagationStopped: returnFalse, + isImmediatePropagationStopped: returnFalse +}; + +var eventRegex = /^([^.]+)(\.(?:[^.]+))?$/; // regex for matching event strings (e.g. "click.namespace") +var universalNamespace = '.*'; // matches as if no namespace specified and prevents users from unbinding accidentally + +var defaults$8 = { + qualifierCompare: function qualifierCompare(q1, q2) { + return q1 === q2; + }, + eventMatches: function eventMatches( /*context, listener, eventObj*/ + ) { + return true; + }, + addEventFields: function addEventFields( /*context, evt*/ + ) {}, + callbackContext: function callbackContext(context /*, listener, eventObj*/) { + return context; + }, + beforeEmit: function beforeEmit( /* context, listener, eventObj */ + ) {}, + afterEmit: function afterEmit( /* context, listener, eventObj */ + ) {}, + bubble: function bubble( /*context*/ + ) { + return false; + }, + parent: function parent( /*context*/ + ) { + return null; + }, + context: null +}; +var defaultsKeys = Object.keys(defaults$8); +var emptyOpts = {}; +function Emitter() { + var opts = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : emptyOpts; + var context = arguments.length > 1 ? arguments[1] : undefined; + // micro-optimisation vs Object.assign() -- reduces Element instantiation time + for (var i = 0; i < defaultsKeys.length; i++) { + var key = defaultsKeys[i]; + this[key] = opts[key] || defaults$8[key]; + } + this.context = context || this.context; + this.listeners = []; + this.emitting = 0; +} +var p = Emitter.prototype; +var forEachEvent = function forEachEvent(self, handler, events, qualifier, callback, conf, confOverrides) { + if (fn$6(qualifier)) { + callback = qualifier; + qualifier = null; + } + if (confOverrides) { + if (conf == null) { + conf = confOverrides; + } else { + conf = extend({}, conf, confOverrides); + } + } + var eventList = array(events) ? events : events.split(/\s+/); + for (var i = 0; i < eventList.length; i++) { + var evt = eventList[i]; + if (emptyString(evt)) { + continue; + } + var match = evt.match(eventRegex); // type[.namespace] + + if (match) { + var type = match[1]; + var namespace = match[2] ? match[2] : null; + var ret = handler(self, evt, type, namespace, qualifier, callback, conf); + if (ret === false) { + break; + } // allow exiting early + } + } +}; + +var makeEventObj = function makeEventObj(self, obj) { + self.addEventFields(self.context, obj); + return new Event(obj.type, obj); +}; +var forEachEventObj = function forEachEventObj(self, handler, events) { + if (event(events)) { + handler(self, events); + return; + } else if (plainObject(events)) { + handler(self, makeEventObj(self, events)); + return; + } + var eventList = array(events) ? events : events.split(/\s+/); + for (var i = 0; i < eventList.length; i++) { + var evt = eventList[i]; + if (emptyString(evt)) { + continue; + } + var match = evt.match(eventRegex); // type[.namespace] + + if (match) { + var type = match[1]; + var namespace = match[2] ? match[2] : null; + var eventObj = makeEventObj(self, { + type: type, + namespace: namespace, + target: self.context + }); + handler(self, eventObj); + } + } +}; +p.on = p.addListener = function (events, qualifier, callback, conf, confOverrides) { + forEachEvent(this, function (self, event, type, namespace, qualifier, callback, conf) { + if (fn$6(callback)) { + self.listeners.push({ + event: event, + // full event string + callback: callback, + // callback to run + type: type, + // the event type (e.g. 'click') + namespace: namespace, + // the event namespace (e.g. ".foo") + qualifier: qualifier, + // a restriction on whether to match this emitter + conf: conf // additional configuration + }); + } + }, events, qualifier, callback, conf, confOverrides); + return this; +}; +p.one = function (events, qualifier, callback, conf) { + return this.on(events, qualifier, callback, conf, { + one: true + }); +}; +p.removeListener = p.off = function (events, qualifier, callback, conf) { + var _this = this; + if (this.emitting !== 0) { + this.listeners = copyArray(this.listeners); + } + var listeners = this.listeners; + var _loop = function _loop(i) { + var listener = listeners[i]; + forEachEvent(_this, function (self, event, type, namespace, qualifier, callback /*, conf*/) { + if ((listener.type === type || events === '*') && (!namespace && listener.namespace !== '.*' || listener.namespace === namespace) && (!qualifier || self.qualifierCompare(listener.qualifier, qualifier)) && (!callback || listener.callback === callback)) { + listeners.splice(i, 1); + return false; + } + }, events, qualifier, callback, conf); + }; + for (var i = listeners.length - 1; i >= 0; i--) { + _loop(i); + } + return this; +}; +p.removeAllListeners = function () { + return this.removeListener('*'); +}; +p.emit = p.trigger = function (events, extraParams, manualCallback) { + var listeners = this.listeners; + var numListenersBeforeEmit = listeners.length; + this.emitting++; + if (!array(extraParams)) { + extraParams = [extraParams]; + } + forEachEventObj(this, function (self, eventObj) { + if (manualCallback != null) { + listeners = [{ + event: eventObj.event, + type: eventObj.type, + namespace: eventObj.namespace, + callback: manualCallback + }]; + numListenersBeforeEmit = listeners.length; + } + var _loop2 = function _loop2(i) { + var listener = listeners[i]; + if (listener.type === eventObj.type && (!listener.namespace || listener.namespace === eventObj.namespace || listener.namespace === universalNamespace) && self.eventMatches(self.context, listener, eventObj)) { + var args = [eventObj]; + if (extraParams != null) { + push(args, extraParams); + } + self.beforeEmit(self.context, listener, eventObj); + if (listener.conf && listener.conf.one) { + self.listeners = self.listeners.filter(function (l) { + return l !== listener; + }); + } + var context = self.callbackContext(self.context, listener, eventObj); + var ret = listener.callback.apply(context, args); + self.afterEmit(self.context, listener, eventObj); + if (ret === false) { + eventObj.stopPropagation(); + eventObj.preventDefault(); + } + } // if listener matches + }; + for (var i = 0; i < numListenersBeforeEmit; i++) { + _loop2(i); + } // for listener + + if (self.bubble(self.context) && !eventObj.isPropagationStopped()) { + self.parent(self.context).emit(eventObj, extraParams); + } + }, events); + this.emitting--; + return this; +}; + +var emitterOptions$1 = { + qualifierCompare: function qualifierCompare(selector1, selector2) { + if (selector1 == null || selector2 == null) { + return selector1 == null && selector2 == null; + } else { + return selector1.sameText(selector2); + } + }, + eventMatches: function eventMatches(ele, listener, eventObj) { + var selector = listener.qualifier; + if (selector != null) { + return ele !== eventObj.target && element(eventObj.target) && selector.matches(eventObj.target); + } + return true; + }, + addEventFields: function addEventFields(ele, evt) { + evt.cy = ele.cy(); + evt.target = ele; + }, + callbackContext: function callbackContext(ele, listener, eventObj) { + return listener.qualifier != null ? eventObj.target : ele; + }, + beforeEmit: function beforeEmit(context, listener /*, eventObj*/) { + if (listener.conf && listener.conf.once) { + listener.conf.onceCollection.removeListener(listener.event, listener.qualifier, listener.callback); + } + }, + bubble: function bubble() { + return true; + }, + parent: function parent(ele) { + return ele.isChild() ? ele.parent() : ele.cy(); + } +}; +var argSelector$1 = function argSelector(arg) { + if (string(arg)) { + return new Selector(arg); + } else { + return arg; + } +}; +var elesfn$9 = { + createEmitter: function createEmitter() { + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var _p = ele._private; + if (!_p.emitter) { + _p.emitter = new Emitter(emitterOptions$1, ele); + } + } + return this; + }, + emitter: function emitter() { + return this._private.emitter; + }, + on: function on(events, selector, callback) { + var argSel = argSelector$1(selector); + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + ele.emitter().on(events, argSel, callback); + } + return this; + }, + removeListener: function removeListener(events, selector, callback) { + var argSel = argSelector$1(selector); + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + ele.emitter().removeListener(events, argSel, callback); + } + return this; + }, + removeAllListeners: function removeAllListeners() { + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + ele.emitter().removeAllListeners(); + } + return this; + }, + one: function one(events, selector, callback) { + var argSel = argSelector$1(selector); + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + ele.emitter().one(events, argSel, callback); + } + return this; + }, + once: function once(events, selector, callback) { + var argSel = argSelector$1(selector); + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + ele.emitter().on(events, argSel, callback, { + once: true, + onceCollection: this + }); + } + }, + emit: function emit(events, extraParams) { + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + ele.emitter().emit(events, extraParams); + } + return this; + }, + emitAndNotify: function emitAndNotify(event, extraParams) { + // for internal use only + if (this.length === 0) { + return; + } // empty collections don't need to notify anything + + // notify renderer + this.cy().notify(event, this); + this.emit(event, extraParams); + return this; + } +}; +define.eventAliasesOn(elesfn$9); + +var elesfn$8 = { + nodes: function nodes(selector) { + return this.filter(function (ele) { + return ele.isNode(); + }).filter(selector); + }, + edges: function edges(selector) { + return this.filter(function (ele) { + return ele.isEdge(); + }).filter(selector); + }, + // internal helper to get nodes and edges as separate collections with single iteration over elements + byGroup: function byGroup() { + var nodes = this.spawn(); + var edges = this.spawn(); + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + if (ele.isNode()) { + nodes.push(ele); + } else { + edges.push(ele); + } + } + return { + nodes: nodes, + edges: edges + }; + }, + filter: function filter(_filter, thisArg) { + if (_filter === undefined) { + // check this first b/c it's the most common/performant case + return this; + } else if (string(_filter) || elementOrCollection(_filter)) { + return new Selector(_filter).filter(this); + } else if (fn$6(_filter)) { + var filterEles = this.spawn(); + var eles = this; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var include = thisArg ? _filter.apply(thisArg, [ele, i, eles]) : _filter(ele, i, eles); + if (include) { + filterEles.push(ele); + } + } + return filterEles; + } + return this.spawn(); // if not handled by above, give 'em an empty collection + }, + + not: function not(toRemove) { + if (!toRemove) { + return this; + } else { + if (string(toRemove)) { + toRemove = this.filter(toRemove); + } + var elements = this.spawn(); + for (var i = 0; i < this.length; i++) { + var element = this[i]; + var remove = toRemove.has(element); + if (!remove) { + elements.push(element); + } + } + return elements; + } + }, + absoluteComplement: function absoluteComplement() { + var cy = this.cy(); + return cy.mutableElements().not(this); + }, + intersect: function intersect(other) { + // if a selector is specified, then filter by it instead + if (string(other)) { + var selector = other; + return this.filter(selector); + } + var elements = this.spawn(); + var col1 = this; + var col2 = other; + var col1Smaller = this.length < other.length; + var colS = col1Smaller ? col1 : col2; + var colL = col1Smaller ? col2 : col1; + for (var i = 0; i < colS.length; i++) { + var ele = colS[i]; + if (colL.has(ele)) { + elements.push(ele); + } + } + return elements; + }, + xor: function xor(other) { + var cy = this._private.cy; + if (string(other)) { + other = cy.$(other); + } + var elements = this.spawn(); + var col1 = this; + var col2 = other; + var add = function add(col, other) { + for (var i = 0; i < col.length; i++) { + var ele = col[i]; + var id = ele._private.data.id; + var inOther = other.hasElementWithId(id); + if (!inOther) { + elements.push(ele); + } + } + }; + add(col1, col2); + add(col2, col1); + return elements; + }, + diff: function diff(other) { + var cy = this._private.cy; + if (string(other)) { + other = cy.$(other); + } + var left = this.spawn(); + var right = this.spawn(); + var both = this.spawn(); + var col1 = this; + var col2 = other; + var add = function add(col, other, retEles) { + for (var i = 0; i < col.length; i++) { + var ele = col[i]; + var id = ele._private.data.id; + var inOther = other.hasElementWithId(id); + if (inOther) { + both.merge(ele); + } else { + retEles.push(ele); + } + } + }; + add(col1, col2, left); + add(col2, col1, right); + return { + left: left, + right: right, + both: both + }; + }, + add: function add(toAdd) { + var cy = this._private.cy; + if (!toAdd) { + return this; + } + if (string(toAdd)) { + var selector = toAdd; + toAdd = cy.mutableElements().filter(selector); + } + var elements = this.spawnSelf(); + for (var i = 0; i < toAdd.length; i++) { + var ele = toAdd[i]; + var add = !this.has(ele); + if (add) { + elements.push(ele); + } + } + return elements; + }, + // in place merge on calling collection + merge: function merge(toAdd) { + var _p = this._private; + var cy = _p.cy; + if (!toAdd) { + return this; + } + if (toAdd && string(toAdd)) { + var selector = toAdd; + toAdd = cy.mutableElements().filter(selector); + } + var map = _p.map; + for (var i = 0; i < toAdd.length; i++) { + var toAddEle = toAdd[i]; + var id = toAddEle._private.data.id; + var add = !map.has(id); + if (add) { + var index = this.length++; + this[index] = toAddEle; + map.set(id, { + ele: toAddEle, + index: index + }); + } + } + return this; // chaining + }, + + unmergeAt: function unmergeAt(i) { + var ele = this[i]; + var id = ele.id(); + var _p = this._private; + var map = _p.map; + + // remove ele + this[i] = undefined; + map["delete"](id); + var unmergedLastEle = i === this.length - 1; + + // replace empty spot with last ele in collection + if (this.length > 1 && !unmergedLastEle) { + var lastEleI = this.length - 1; + var lastEle = this[lastEleI]; + var lastEleId = lastEle._private.data.id; + this[lastEleI] = undefined; + this[i] = lastEle; + map.set(lastEleId, { + ele: lastEle, + index: i + }); + } + + // the collection is now 1 ele smaller + this.length--; + return this; + }, + // remove single ele in place in calling collection + unmergeOne: function unmergeOne(ele) { + ele = ele[0]; + var _p = this._private; + var id = ele._private.data.id; + var map = _p.map; + var entry = map.get(id); + if (!entry) { + return this; // no need to remove + } + + var i = entry.index; + this.unmergeAt(i); + return this; + }, + // remove eles in place on calling collection + unmerge: function unmerge(toRemove) { + var cy = this._private.cy; + if (!toRemove) { + return this; + } + if (toRemove && string(toRemove)) { + var selector = toRemove; + toRemove = cy.mutableElements().filter(selector); + } + for (var i = 0; i < toRemove.length; i++) { + this.unmergeOne(toRemove[i]); + } + return this; // chaining + }, + + unmergeBy: function unmergeBy(toRmFn) { + for (var i = this.length - 1; i >= 0; i--) { + var ele = this[i]; + if (toRmFn(ele)) { + this.unmergeAt(i); + } + } + return this; + }, + map: function map(mapFn, thisArg) { + var arr = []; + var eles = this; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var ret = thisArg ? mapFn.apply(thisArg, [ele, i, eles]) : mapFn(ele, i, eles); + arr.push(ret); + } + return arr; + }, + reduce: function reduce(fn, initialValue) { + var val = initialValue; + var eles = this; + for (var i = 0; i < eles.length; i++) { + val = fn(val, eles[i], i, eles); + } + return val; + }, + max: function max(valFn, thisArg) { + var max = -Infinity; + var maxEle; + var eles = this; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var val = thisArg ? valFn.apply(thisArg, [ele, i, eles]) : valFn(ele, i, eles); + if (val > max) { + max = val; + maxEle = ele; + } + } + return { + value: max, + ele: maxEle + }; + }, + min: function min(valFn, thisArg) { + var min = Infinity; + var minEle; + var eles = this; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var val = thisArg ? valFn.apply(thisArg, [ele, i, eles]) : valFn(ele, i, eles); + if (val < min) { + min = val; + minEle = ele; + } + } + return { + value: min, + ele: minEle + }; + } +}; + +// aliases +var fn$1 = elesfn$8; +fn$1['u'] = fn$1['|'] = fn$1['+'] = fn$1.union = fn$1.or = fn$1.add; +fn$1['\\'] = fn$1['!'] = fn$1['-'] = fn$1.difference = fn$1.relativeComplement = fn$1.subtract = fn$1.not; +fn$1['n'] = fn$1['&'] = fn$1['.'] = fn$1.and = fn$1.intersection = fn$1.intersect; +fn$1['^'] = fn$1['(+)'] = fn$1['(-)'] = fn$1.symmetricDifference = fn$1.symdiff = fn$1.xor; +fn$1.fnFilter = fn$1.filterFn = fn$1.stdFilter = fn$1.filter; +fn$1.complement = fn$1.abscomp = fn$1.absoluteComplement; + +var elesfn$7 = { + isNode: function isNode() { + return this.group() === 'nodes'; + }, + isEdge: function isEdge() { + return this.group() === 'edges'; + }, + isLoop: function isLoop() { + return this.isEdge() && this.source()[0] === this.target()[0]; + }, + isSimple: function isSimple() { + return this.isEdge() && this.source()[0] !== this.target()[0]; + }, + group: function group() { + var ele = this[0]; + if (ele) { + return ele._private.group; + } + } +}; + +/** + * Elements are drawn in a specific order based on compound depth (low to high), the element type (nodes above edges), + * and z-index (low to high). These styles affect how this applies: + * + * z-compound-depth: May be `bottom | orphan | auto | top`. The first drawn is `bottom`, then `orphan` which is the + * same depth as the root of the compound graph, followed by the default value `auto` which draws in order from + * root to leaves of the compound graph. The last drawn is `top`. + * z-index-compare: May be `auto | manual`. The default value is `auto` which always draws edges under nodes. + * `manual` ignores this convention and draws based on the `z-index` value setting. + * z-index: An integer value that affects the relative draw order of elements. In general, an element with a higher + * `z-index` will be drawn on top of an element with a lower `z-index`. + */ +var zIndexSort = function zIndexSort(a, b) { + var cy = a.cy(); + var hasCompoundNodes = cy.hasCompoundNodes(); + function getDepth(ele) { + var style = ele.pstyle('z-compound-depth'); + if (style.value === 'auto') { + return hasCompoundNodes ? ele.zDepth() : 0; + } else if (style.value === 'bottom') { + return -1; + } else if (style.value === 'top') { + return MAX_INT$1; + } + // 'orphan' + return 0; + } + var depthDiff = getDepth(a) - getDepth(b); + if (depthDiff !== 0) { + return depthDiff; + } + function getEleDepth(ele) { + var style = ele.pstyle('z-index-compare'); + if (style.value === 'auto') { + return ele.isNode() ? 1 : 0; + } + // 'manual' + return 0; + } + var eleDiff = getEleDepth(a) - getEleDepth(b); + if (eleDiff !== 0) { + return eleDiff; + } + var zDiff = a.pstyle('z-index').value - b.pstyle('z-index').value; + if (zDiff !== 0) { + return zDiff; + } + // compare indices in the core (order added to graph w/ last on top) + return a.poolIndex() - b.poolIndex(); +}; + +var elesfn$6 = { + forEach: function forEach(fn, thisArg) { + if (fn$6(fn)) { + var N = this.length; + for (var i = 0; i < N; i++) { + var ele = this[i]; + var ret = thisArg ? fn.apply(thisArg, [ele, i, this]) : fn(ele, i, this); + if (ret === false) { + break; + } // exit each early on return false + } + } + + return this; + }, + toArray: function toArray() { + var array = []; + for (var i = 0; i < this.length; i++) { + array.push(this[i]); + } + return array; + }, + slice: function slice(start, end) { + var array = []; + var thisSize = this.length; + if (end == null) { + end = thisSize; + } + if (start == null) { + start = 0; + } + if (start < 0) { + start = thisSize + start; + } + if (end < 0) { + end = thisSize + end; + } + for (var i = start; i >= 0 && i < end && i < thisSize; i++) { + array.push(this[i]); + } + return this.spawn(array); + }, + size: function size() { + return this.length; + }, + eq: function eq(i) { + return this[i] || this.spawn(); + }, + first: function first() { + return this[0] || this.spawn(); + }, + last: function last() { + return this[this.length - 1] || this.spawn(); + }, + empty: function empty() { + return this.length === 0; + }, + nonempty: function nonempty() { + return !this.empty(); + }, + sort: function sort(sortFn) { + if (!fn$6(sortFn)) { + return this; + } + var sorted = this.toArray().sort(sortFn); + return this.spawn(sorted); + }, + sortByZIndex: function sortByZIndex() { + return this.sort(zIndexSort); + }, + zDepth: function zDepth() { + var ele = this[0]; + if (!ele) { + return undefined; + } + + // let cy = ele.cy(); + var _p = ele._private; + var group = _p.group; + if (group === 'nodes') { + var depth = _p.data.parent ? ele.parents().size() : 0; + if (!ele.isParent()) { + return MAX_INT$1 - 1; // childless nodes always on top + } + + return depth; + } else { + var src = _p.source; + var tgt = _p.target; + var srcDepth = src.zDepth(); + var tgtDepth = tgt.zDepth(); + return Math.max(srcDepth, tgtDepth, 0); // depth of deepest parent + } + } +}; + +elesfn$6.each = elesfn$6.forEach; +var defineSymbolIterator = function defineSymbolIterator() { + var typeofUndef = "undefined" ; + var isIteratorSupported = (typeof Symbol === "undefined" ? "undefined" : _typeof(Symbol)) != typeofUndef && _typeof(Symbol.iterator) != typeofUndef; // eslint-disable-line no-undef + + if (isIteratorSupported) { + elesfn$6[Symbol.iterator] = function () { + var _this = this; + // eslint-disable-line no-undef + var entry = { + value: undefined, + done: false + }; + var i = 0; + var length = this.length; + return _defineProperty({ + next: function next() { + if (i < length) { + entry.value = _this[i++]; + } else { + entry.value = undefined; + entry.done = true; + } + return entry; + } + }, Symbol.iterator, function () { + // eslint-disable-line no-undef + return this; + }); + }; + } +}; +defineSymbolIterator(); + +var getLayoutDimensionOptions = defaults$g({ + nodeDimensionsIncludeLabels: false +}); +var elesfn$5 = { + // Calculates and returns node dimensions { x, y } based on options given + layoutDimensions: function layoutDimensions(options) { + options = getLayoutDimensionOptions(options); + var dims; + if (!this.takesUpSpace()) { + dims = { + w: 0, + h: 0 + }; + } else if (options.nodeDimensionsIncludeLabels) { + var bbDim = this.boundingBox(); + dims = { + w: bbDim.w, + h: bbDim.h + }; + } else { + dims = { + w: this.outerWidth(), + h: this.outerHeight() + }; + } + + // sanitise the dimensions for external layouts (avoid division by zero) + if (dims.w === 0 || dims.h === 0) { + dims.w = dims.h = 1; + } + return dims; + }, + // using standard layout options, apply position function (w/ or w/o animation) + layoutPositions: function layoutPositions(layout, options, fn) { + var nodes = this.nodes().filter(function (n) { + return !n.isParent(); + }); + var cy = this.cy(); + var layoutEles = options.eles; // nodes & edges + var getMemoizeKey = function getMemoizeKey(node) { + return node.id(); + }; + var fnMem = memoize(fn, getMemoizeKey); // memoized version of position function + + layout.emit({ + type: 'layoutstart', + layout: layout + }); + layout.animations = []; + var calculateSpacing = function calculateSpacing(spacing, nodesBb, pos) { + var center = { + x: nodesBb.x1 + nodesBb.w / 2, + y: nodesBb.y1 + nodesBb.h / 2 + }; + var spacingVector = { + // scale from center of bounding box (not necessarily 0,0) + x: (pos.x - center.x) * spacing, + y: (pos.y - center.y) * spacing + }; + return { + x: center.x + spacingVector.x, + y: center.y + spacingVector.y + }; + }; + var useSpacingFactor = options.spacingFactor && options.spacingFactor !== 1; + var spacingBb = function spacingBb() { + if (!useSpacingFactor) { + return null; + } + var bb = makeBoundingBox(); + for (var i = 0; i < nodes.length; i++) { + var node = nodes[i]; + var pos = fnMem(node, i); + expandBoundingBoxByPoint(bb, pos.x, pos.y); + } + return bb; + }; + var bb = spacingBb(); + var getFinalPos = memoize(function (node, i) { + var newPos = fnMem(node, i); + if (useSpacingFactor) { + var spacing = Math.abs(options.spacingFactor); + newPos = calculateSpacing(spacing, bb, newPos); + } + if (options.transform != null) { + newPos = options.transform(node, newPos); + } + return newPos; + }, getMemoizeKey); + if (options.animate) { + for (var i = 0; i < nodes.length; i++) { + var node = nodes[i]; + var newPos = getFinalPos(node, i); + var animateNode = options.animateFilter == null || options.animateFilter(node, i); + if (animateNode) { + var ani = node.animation({ + position: newPos, + duration: options.animationDuration, + easing: options.animationEasing + }); + layout.animations.push(ani); + } else { + node.position(newPos); + } + } + if (options.fit) { + var fitAni = cy.animation({ + fit: { + boundingBox: layoutEles.boundingBoxAt(getFinalPos), + padding: options.padding + }, + duration: options.animationDuration, + easing: options.animationEasing + }); + layout.animations.push(fitAni); + } else if (options.zoom !== undefined && options.pan !== undefined) { + var zoomPanAni = cy.animation({ + zoom: options.zoom, + pan: options.pan, + duration: options.animationDuration, + easing: options.animationEasing + }); + layout.animations.push(zoomPanAni); + } + layout.animations.forEach(function (ani) { + return ani.play(); + }); + layout.one('layoutready', options.ready); + layout.emit({ + type: 'layoutready', + layout: layout + }); + Promise$1.all(layout.animations.map(function (ani) { + return ani.promise(); + })).then(function () { + layout.one('layoutstop', options.stop); + layout.emit({ + type: 'layoutstop', + layout: layout + }); + }); + } else { + nodes.positions(getFinalPos); + if (options.fit) { + cy.fit(options.eles, options.padding); + } + if (options.zoom != null) { + cy.zoom(options.zoom); + } + if (options.pan) { + cy.pan(options.pan); + } + layout.one('layoutready', options.ready); + layout.emit({ + type: 'layoutready', + layout: layout + }); + layout.one('layoutstop', options.stop); + layout.emit({ + type: 'layoutstop', + layout: layout + }); + } + return this; // chaining + }, + + layout: function layout(options) { + var cy = this.cy(); + return cy.makeLayout(extend({}, options, { + eles: this + })); + } +}; + +// aliases: +elesfn$5.createLayout = elesfn$5.makeLayout = elesfn$5.layout; + +function styleCache(key, fn, ele) { + var _p = ele._private; + var cache = _p.styleCache = _p.styleCache || []; + var val; + if ((val = cache[key]) != null) { + return val; + } else { + val = cache[key] = fn(ele); + return val; + } +} +function cacheStyleFunction(key, fn) { + key = hashString(key); + return function cachedStyleFunction(ele) { + return styleCache(key, fn, ele); + }; +} +function cachePrototypeStyleFunction(key, fn) { + key = hashString(key); + var selfFn = function selfFn(ele) { + return fn.call(ele); + }; + return function cachedPrototypeStyleFunction() { + var ele = this[0]; + if (ele) { + return styleCache(key, selfFn, ele); + } + }; +} +var elesfn$4 = { + recalculateRenderedStyle: function recalculateRenderedStyle(useCache) { + var cy = this.cy(); + var renderer = cy.renderer(); + var styleEnabled = cy.styleEnabled(); + if (renderer && styleEnabled) { + renderer.recalculateRenderedStyle(this, useCache); + } + return this; + }, + dirtyStyleCache: function dirtyStyleCache() { + var cy = this.cy(); + var dirty = function dirty(ele) { + return ele._private.styleCache = null; + }; + if (cy.hasCompoundNodes()) { + var eles; + eles = this.spawnSelf().merge(this.descendants()).merge(this.parents()); + eles.merge(eles.connectedEdges()); + eles.forEach(dirty); + } else { + this.forEach(function (ele) { + dirty(ele); + ele.connectedEdges().forEach(dirty); + }); + } + return this; + }, + // fully updates (recalculates) the style for the elements + updateStyle: function updateStyle(notifyRenderer) { + var cy = this._private.cy; + if (!cy.styleEnabled()) { + return this; + } + if (cy.batching()) { + var bEles = cy._private.batchStyleEles; + bEles.merge(this); + return this; // chaining and exit early when batching + } + + var hasCompounds = cy.hasCompoundNodes(); + var updatedEles = this; + notifyRenderer = notifyRenderer || notifyRenderer === undefined ? true : false; + if (hasCompounds) { + // then add everything up and down for compound selector checks + updatedEles = this.spawnSelf().merge(this.descendants()).merge(this.parents()); + } + + // let changedEles = style.apply( updatedEles ); + var changedEles = updatedEles; + if (notifyRenderer) { + changedEles.emitAndNotify('style'); // let renderer know we changed style + } else { + changedEles.emit('style'); // just fire the event + } + + updatedEles.forEach(function (ele) { + return ele._private.styleDirty = true; + }); + return this; // chaining + }, + + // private: clears dirty flag and recalculates style + cleanStyle: function cleanStyle() { + var cy = this.cy(); + if (!cy.styleEnabled()) { + return; + } + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + if (ele._private.styleDirty) { + // n.b. this flag should be set before apply() to avoid potential infinite recursion + ele._private.styleDirty = false; + cy.style().apply(ele); + } + } + }, + // get the internal parsed style object for the specified property + parsedStyle: function parsedStyle(property) { + var includeNonDefault = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; + var ele = this[0]; + var cy = ele.cy(); + if (!cy.styleEnabled()) { + return; + } + if (ele) { + this.cleanStyle(); + var overriddenStyle = ele._private.style[property]; + if (overriddenStyle != null) { + return overriddenStyle; + } else if (includeNonDefault) { + return cy.style().getDefaultProperty(property); + } else { + return null; + } + } + }, + numericStyle: function numericStyle(property) { + var ele = this[0]; + if (!ele.cy().styleEnabled()) { + return; + } + if (ele) { + var pstyle = ele.pstyle(property); + return pstyle.pfValue !== undefined ? pstyle.pfValue : pstyle.value; + } + }, + numericStyleUnits: function numericStyleUnits(property) { + var ele = this[0]; + if (!ele.cy().styleEnabled()) { + return; + } + if (ele) { + return ele.pstyle(property).units; + } + }, + // get the specified css property as a rendered value (i.e. on-screen value) + // or get the whole rendered style if no property specified (NB doesn't allow setting) + renderedStyle: function renderedStyle(property) { + var cy = this.cy(); + if (!cy.styleEnabled()) { + return this; + } + var ele = this[0]; + if (ele) { + return cy.style().getRenderedStyle(ele, property); + } + }, + // read the calculated css style of the element or override the style (via a bypass) + style: function style(name, value) { + var cy = this.cy(); + if (!cy.styleEnabled()) { + return this; + } + var updateTransitions = false; + var style = cy.style(); + if (plainObject(name)) { + // then extend the bypass + var props = name; + style.applyBypass(this, props, updateTransitions); + this.emitAndNotify('style'); // let the renderer know we've updated style + } else if (string(name)) { + if (value === undefined) { + // then get the property from the style + var ele = this[0]; + if (ele) { + return style.getStylePropertyValue(ele, name); + } else { + // empty collection => can't get any value + return; + } + } else { + // then set the bypass with the property value + style.applyBypass(this, name, value, updateTransitions); + this.emitAndNotify('style'); // let the renderer know we've updated style + } + } else if (name === undefined) { + var _ele = this[0]; + if (_ele) { + return style.getRawStyle(_ele); + } else { + // empty collection => can't get any value + return; + } + } + return this; // chaining + }, + + removeStyle: function removeStyle(names) { + var cy = this.cy(); + if (!cy.styleEnabled()) { + return this; + } + var updateTransitions = false; + var style = cy.style(); + var eles = this; + if (names === undefined) { + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + style.removeAllBypasses(ele, updateTransitions); + } + } else { + names = names.split(/\s+/); + for (var _i = 0; _i < eles.length; _i++) { + var _ele2 = eles[_i]; + style.removeBypasses(_ele2, names, updateTransitions); + } + } + this.emitAndNotify('style'); // let the renderer know we've updated style + + return this; // chaining + }, + + show: function show() { + this.css('display', 'element'); + return this; // chaining + }, + + hide: function hide() { + this.css('display', 'none'); + return this; // chaining + }, + + effectiveOpacity: function effectiveOpacity() { + var cy = this.cy(); + if (!cy.styleEnabled()) { + return 1; + } + var hasCompoundNodes = cy.hasCompoundNodes(); + var ele = this[0]; + if (ele) { + var _p = ele._private; + var parentOpacity = ele.pstyle('opacity').value; + if (!hasCompoundNodes) { + return parentOpacity; + } + var parents = !_p.data.parent ? null : ele.parents(); + if (parents) { + for (var i = 0; i < parents.length; i++) { + var parent = parents[i]; + var opacity = parent.pstyle('opacity').value; + parentOpacity = opacity * parentOpacity; + } + } + return parentOpacity; + } + }, + transparent: function transparent() { + var cy = this.cy(); + if (!cy.styleEnabled()) { + return false; + } + var ele = this[0]; + var hasCompoundNodes = ele.cy().hasCompoundNodes(); + if (ele) { + if (!hasCompoundNodes) { + return ele.pstyle('opacity').value === 0; + } else { + return ele.effectiveOpacity() === 0; + } + } + }, + backgrounding: function backgrounding() { + var cy = this.cy(); + if (!cy.styleEnabled()) { + return false; + } + var ele = this[0]; + return ele._private.backgrounding ? true : false; + } +}; +function checkCompound(ele, parentOk) { + var _p = ele._private; + var parents = _p.data.parent ? ele.parents() : null; + if (parents) { + for (var i = 0; i < parents.length; i++) { + var parent = parents[i]; + if (!parentOk(parent)) { + return false; + } + } + } + return true; +} +function defineDerivedStateFunction(specs) { + var ok = specs.ok; + var edgeOkViaNode = specs.edgeOkViaNode || specs.ok; + var parentOk = specs.parentOk || specs.ok; + return function () { + var cy = this.cy(); + if (!cy.styleEnabled()) { + return true; + } + var ele = this[0]; + var hasCompoundNodes = cy.hasCompoundNodes(); + if (ele) { + var _p = ele._private; + if (!ok(ele)) { + return false; + } + if (ele.isNode()) { + return !hasCompoundNodes || checkCompound(ele, parentOk); + } else { + var src = _p.source; + var tgt = _p.target; + return edgeOkViaNode(src) && (!hasCompoundNodes || checkCompound(src, edgeOkViaNode)) && (src === tgt || edgeOkViaNode(tgt) && (!hasCompoundNodes || checkCompound(tgt, edgeOkViaNode))); + } + } + }; +} +var eleTakesUpSpace = cacheStyleFunction('eleTakesUpSpace', function (ele) { + return ele.pstyle('display').value === 'element' && ele.width() !== 0 && (ele.isNode() ? ele.height() !== 0 : true); +}); +elesfn$4.takesUpSpace = cachePrototypeStyleFunction('takesUpSpace', defineDerivedStateFunction({ + ok: eleTakesUpSpace +})); +var eleInteractive = cacheStyleFunction('eleInteractive', function (ele) { + return ele.pstyle('events').value === 'yes' && ele.pstyle('visibility').value === 'visible' && eleTakesUpSpace(ele); +}); +var parentInteractive = cacheStyleFunction('parentInteractive', function (parent) { + return parent.pstyle('visibility').value === 'visible' && eleTakesUpSpace(parent); +}); +elesfn$4.interactive = cachePrototypeStyleFunction('interactive', defineDerivedStateFunction({ + ok: eleInteractive, + parentOk: parentInteractive, + edgeOkViaNode: eleTakesUpSpace +})); +elesfn$4.noninteractive = function () { + var ele = this[0]; + if (ele) { + return !ele.interactive(); + } +}; +var eleVisible = cacheStyleFunction('eleVisible', function (ele) { + return ele.pstyle('visibility').value === 'visible' && ele.pstyle('opacity').pfValue !== 0 && eleTakesUpSpace(ele); +}); +var edgeVisibleViaNode = eleTakesUpSpace; +elesfn$4.visible = cachePrototypeStyleFunction('visible', defineDerivedStateFunction({ + ok: eleVisible, + edgeOkViaNode: edgeVisibleViaNode +})); +elesfn$4.hidden = function () { + var ele = this[0]; + if (ele) { + return !ele.visible(); + } +}; +elesfn$4.isBundledBezier = cachePrototypeStyleFunction('isBundledBezier', function () { + if (!this.cy().styleEnabled()) { + return false; + } + return !this.removed() && this.pstyle('curve-style').value === 'bezier' && this.takesUpSpace(); +}); +elesfn$4.bypass = elesfn$4.css = elesfn$4.style; +elesfn$4.renderedCss = elesfn$4.renderedStyle; +elesfn$4.removeBypass = elesfn$4.removeCss = elesfn$4.removeStyle; +elesfn$4.pstyle = elesfn$4.parsedStyle; + +var elesfn$3 = {}; +function defineSwitchFunction(params) { + return function () { + var args = arguments; + var changedEles = []; + + // e.g. cy.nodes().select( data, handler ) + if (args.length === 2) { + var data = args[0]; + var handler = args[1]; + this.on(params.event, data, handler); + } + + // e.g. cy.nodes().select( handler ) + else if (args.length === 1 && fn$6(args[0])) { + var _handler = args[0]; + this.on(params.event, _handler); + } + + // e.g. cy.nodes().select() + // e.g. (private) cy.nodes().select(['tapselect']) + else if (args.length === 0 || args.length === 1 && array(args[0])) { + var addlEvents = args.length === 1 ? args[0] : null; + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var able = !params.ableField || ele._private[params.ableField]; + var changed = ele._private[params.field] != params.value; + if (params.overrideAble) { + var overrideAble = params.overrideAble(ele); + if (overrideAble !== undefined) { + able = overrideAble; + if (!overrideAble) { + return this; + } // to save cycles assume not able for all on override + } + } + + if (able) { + ele._private[params.field] = params.value; + if (changed) { + changedEles.push(ele); + } + } + } + var changedColl = this.spawn(changedEles); + changedColl.updateStyle(); // change of state => possible change of style + changedColl.emit(params.event); + if (addlEvents) { + changedColl.emit(addlEvents); + } + } + return this; + }; +} +function defineSwitchSet(params) { + elesfn$3[params.field] = function () { + var ele = this[0]; + if (ele) { + if (params.overrideField) { + var val = params.overrideField(ele); + if (val !== undefined) { + return val; + } + } + return ele._private[params.field]; + } + }; + elesfn$3[params.on] = defineSwitchFunction({ + event: params.on, + field: params.field, + ableField: params.ableField, + overrideAble: params.overrideAble, + value: true + }); + elesfn$3[params.off] = defineSwitchFunction({ + event: params.off, + field: params.field, + ableField: params.ableField, + overrideAble: params.overrideAble, + value: false + }); +} +defineSwitchSet({ + field: 'locked', + overrideField: function overrideField(ele) { + return ele.cy().autolock() ? true : undefined; + }, + on: 'lock', + off: 'unlock' +}); +defineSwitchSet({ + field: 'grabbable', + overrideField: function overrideField(ele) { + return ele.cy().autoungrabify() || ele.pannable() ? false : undefined; + }, + on: 'grabify', + off: 'ungrabify' +}); +defineSwitchSet({ + field: 'selected', + ableField: 'selectable', + overrideAble: function overrideAble(ele) { + return ele.cy().autounselectify() ? false : undefined; + }, + on: 'select', + off: 'unselect' +}); +defineSwitchSet({ + field: 'selectable', + overrideField: function overrideField(ele) { + return ele.cy().autounselectify() ? false : undefined; + }, + on: 'selectify', + off: 'unselectify' +}); +elesfn$3.deselect = elesfn$3.unselect; +elesfn$3.grabbed = function () { + var ele = this[0]; + if (ele) { + return ele._private.grabbed; + } +}; +defineSwitchSet({ + field: 'active', + on: 'activate', + off: 'unactivate' +}); +defineSwitchSet({ + field: 'pannable', + on: 'panify', + off: 'unpanify' +}); +elesfn$3.inactive = function () { + var ele = this[0]; + if (ele) { + return !ele._private.active; + } +}; + +var elesfn$2 = {}; + +// DAG functions +//////////////// + +var defineDagExtremity = function defineDagExtremity(params) { + return function dagExtremityImpl(selector) { + var eles = this; + var ret = []; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + if (!ele.isNode()) { + continue; + } + var disqualified = false; + var edges = ele.connectedEdges(); + for (var j = 0; j < edges.length; j++) { + var edge = edges[j]; + var src = edge.source(); + var tgt = edge.target(); + if (params.noIncomingEdges && tgt === ele && src !== ele || params.noOutgoingEdges && src === ele && tgt !== ele) { + disqualified = true; + break; + } + } + if (!disqualified) { + ret.push(ele); + } + } + return this.spawn(ret, true).filter(selector); + }; +}; +var defineDagOneHop = function defineDagOneHop(params) { + return function (selector) { + var eles = this; + var oEles = []; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + if (!ele.isNode()) { + continue; + } + var edges = ele.connectedEdges(); + for (var j = 0; j < edges.length; j++) { + var edge = edges[j]; + var src = edge.source(); + var tgt = edge.target(); + if (params.outgoing && src === ele) { + oEles.push(edge); + oEles.push(tgt); + } else if (params.incoming && tgt === ele) { + oEles.push(edge); + oEles.push(src); + } + } + } + return this.spawn(oEles, true).filter(selector); + }; +}; +var defineDagAllHops = function defineDagAllHops(params) { + return function (selector) { + var eles = this; + var sEles = []; + var sElesIds = {}; + for (;;) { + var next = params.outgoing ? eles.outgoers() : eles.incomers(); + if (next.length === 0) { + break; + } // done if none left + + var newNext = false; + for (var i = 0; i < next.length; i++) { + var n = next[i]; + var nid = n.id(); + if (!sElesIds[nid]) { + sElesIds[nid] = true; + sEles.push(n); + newNext = true; + } + } + if (!newNext) { + break; + } // done if touched all outgoers already + + eles = next; + } + return this.spawn(sEles, true).filter(selector); + }; +}; +elesfn$2.clearTraversalCache = function () { + for (var i = 0; i < this.length; i++) { + this[i]._private.traversalCache = null; + } +}; +extend(elesfn$2, { + // get the root nodes in the DAG + roots: defineDagExtremity({ + noIncomingEdges: true + }), + // get the leaf nodes in the DAG + leaves: defineDagExtremity({ + noOutgoingEdges: true + }), + // normally called children in graph theory + // these nodes =edges=> outgoing nodes + outgoers: cache(defineDagOneHop({ + outgoing: true + }), 'outgoers'), + // aka DAG descendants + successors: defineDagAllHops({ + outgoing: true + }), + // normally called parents in graph theory + // these nodes <=edges= incoming nodes + incomers: cache(defineDagOneHop({ + incoming: true + }), 'incomers'), + // aka DAG ancestors + predecessors: defineDagAllHops({ + incoming: true + }) +}); + +// Neighbourhood functions +////////////////////////// + +extend(elesfn$2, { + neighborhood: cache(function (selector) { + var elements = []; + var nodes = this.nodes(); + for (var i = 0; i < nodes.length; i++) { + // for all nodes + var node = nodes[i]; + var connectedEdges = node.connectedEdges(); + + // for each connected edge, add the edge and the other node + for (var j = 0; j < connectedEdges.length; j++) { + var edge = connectedEdges[j]; + var src = edge.source(); + var tgt = edge.target(); + var otherNode = node === src ? tgt : src; + + // need check in case of loop + if (otherNode.length > 0) { + elements.push(otherNode[0]); // add node 1 hop away + } + + // add connected edge + elements.push(edge[0]); + } + } + return this.spawn(elements, true).filter(selector); + }, 'neighborhood'), + closedNeighborhood: function closedNeighborhood(selector) { + return this.neighborhood().add(this).filter(selector); + }, + openNeighborhood: function openNeighborhood(selector) { + return this.neighborhood(selector); + } +}); + +// aliases +elesfn$2.neighbourhood = elesfn$2.neighborhood; +elesfn$2.closedNeighbourhood = elesfn$2.closedNeighborhood; +elesfn$2.openNeighbourhood = elesfn$2.openNeighborhood; + +// Edge functions +///////////////// + +extend(elesfn$2, { + source: cache(function sourceImpl(selector) { + var ele = this[0]; + var src; + if (ele) { + src = ele._private.source || ele.cy().collection(); + } + return src && selector ? src.filter(selector) : src; + }, 'source'), + target: cache(function targetImpl(selector) { + var ele = this[0]; + var tgt; + if (ele) { + tgt = ele._private.target || ele.cy().collection(); + } + return tgt && selector ? tgt.filter(selector) : tgt; + }, 'target'), + sources: defineSourceFunction({ + attr: 'source' + }), + targets: defineSourceFunction({ + attr: 'target' + }) +}); +function defineSourceFunction(params) { + return function sourceImpl(selector) { + var sources = []; + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var src = ele._private[params.attr]; + if (src) { + sources.push(src); + } + } + return this.spawn(sources, true).filter(selector); + }; +} +extend(elesfn$2, { + edgesWith: cache(defineEdgesWithFunction(), 'edgesWith'), + edgesTo: cache(defineEdgesWithFunction({ + thisIsSrc: true + }), 'edgesTo') +}); +function defineEdgesWithFunction(params) { + return function edgesWithImpl(otherNodes) { + var elements = []; + var cy = this._private.cy; + var p = params || {}; + + // get elements if a selector is specified + if (string(otherNodes)) { + otherNodes = cy.$(otherNodes); + } + for (var h = 0; h < otherNodes.length; h++) { + var edges = otherNodes[h]._private.edges; + for (var i = 0; i < edges.length; i++) { + var edge = edges[i]; + var edgeData = edge._private.data; + var thisToOther = this.hasElementWithId(edgeData.source) && otherNodes.hasElementWithId(edgeData.target); + var otherToThis = otherNodes.hasElementWithId(edgeData.source) && this.hasElementWithId(edgeData.target); + var edgeConnectsThisAndOther = thisToOther || otherToThis; + if (!edgeConnectsThisAndOther) { + continue; + } + if (p.thisIsSrc || p.thisIsTgt) { + if (p.thisIsSrc && !thisToOther) { + continue; + } + if (p.thisIsTgt && !otherToThis) { + continue; + } + } + elements.push(edge); + } + } + return this.spawn(elements, true); + }; +} +extend(elesfn$2, { + connectedEdges: cache(function (selector) { + var retEles = []; + var eles = this; + for (var i = 0; i < eles.length; i++) { + var node = eles[i]; + if (!node.isNode()) { + continue; + } + var edges = node._private.edges; + for (var j = 0; j < edges.length; j++) { + var edge = edges[j]; + retEles.push(edge); + } + } + return this.spawn(retEles, true).filter(selector); + }, 'connectedEdges'), + connectedNodes: cache(function (selector) { + var retEles = []; + var eles = this; + for (var i = 0; i < eles.length; i++) { + var edge = eles[i]; + if (!edge.isEdge()) { + continue; + } + retEles.push(edge.source()[0]); + retEles.push(edge.target()[0]); + } + return this.spawn(retEles, true).filter(selector); + }, 'connectedNodes'), + parallelEdges: cache(defineParallelEdgesFunction(), 'parallelEdges'), + codirectedEdges: cache(defineParallelEdgesFunction({ + codirected: true + }), 'codirectedEdges') +}); +function defineParallelEdgesFunction(params) { + var defaults = { + codirected: false + }; + params = extend({}, defaults, params); + return function parallelEdgesImpl(selector) { + // micro-optimised for renderer + var elements = []; + var edges = this.edges(); + var p = params; + + // look at all the edges in the collection + for (var i = 0; i < edges.length; i++) { + var edge1 = edges[i]; + var edge1_p = edge1._private; + var src1 = edge1_p.source; + var srcid1 = src1._private.data.id; + var tgtid1 = edge1_p.data.target; + var srcEdges1 = src1._private.edges; + + // look at edges connected to the src node of this edge + for (var j = 0; j < srcEdges1.length; j++) { + var edge2 = srcEdges1[j]; + var edge2data = edge2._private.data; + var tgtid2 = edge2data.target; + var srcid2 = edge2data.source; + var codirected = tgtid2 === tgtid1 && srcid2 === srcid1; + var oppdirected = srcid1 === tgtid2 && tgtid1 === srcid2; + if (p.codirected && codirected || !p.codirected && (codirected || oppdirected)) { + elements.push(edge2); + } + } + } + return this.spawn(elements, true).filter(selector); + }; +} + +// Misc functions +///////////////// + +extend(elesfn$2, { + components: function components(root) { + var self = this; + var cy = self.cy(); + var visited = cy.collection(); + var unvisited = root == null ? self.nodes() : root.nodes(); + var components = []; + if (root != null && unvisited.empty()) { + // root may contain only edges + unvisited = root.sources(); // doesn't matter which node to use (undirected), so just use the source sides + } + + var visitInComponent = function visitInComponent(node, component) { + visited.merge(node); + unvisited.unmerge(node); + component.merge(node); + }; + if (unvisited.empty()) { + return self.spawn(); + } + var _loop = function _loop() { + // each iteration yields a component + var cmpt = cy.collection(); + components.push(cmpt); + var root = unvisited[0]; + visitInComponent(root, cmpt); + self.bfs({ + directed: false, + roots: root, + visit: function visit(v) { + return visitInComponent(v, cmpt); + } + }); + cmpt.forEach(function (node) { + node.connectedEdges().forEach(function (e) { + // connectedEdges() usually cached + if (self.has(e) && cmpt.has(e.source()) && cmpt.has(e.target())) { + // has() is cheap + cmpt.merge(e); // forEach() only considers nodes -- sets N at call time + } + }); + }); + }; + do { + _loop(); + } while (unvisited.length > 0); + return components; + }, + component: function component() { + var ele = this[0]; + return ele.cy().mutableElements().components(ele)[0]; + } +}); +elesfn$2.componentsOf = elesfn$2.components; + +// represents a set of nodes, edges, or both together +var Collection = function Collection(cy, elements) { + var unique = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false; + var removed = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : false; + if (cy === undefined) { + error('A collection must have a reference to the core'); + return; + } + var map = new Map$1(); + var createdElements = false; + if (!elements) { + elements = []; + } else if (elements.length > 0 && plainObject(elements[0]) && !element(elements[0])) { + createdElements = true; + + // make elements from json and restore all at once later + var eles = []; + var elesIds = new Set$1(); + for (var i = 0, l = elements.length; i < l; i++) { + var json = elements[i]; + if (json.data == null) { + json.data = {}; + } + var _data = json.data; + + // make sure newly created elements have valid ids + if (_data.id == null) { + _data.id = uuid(); + } else if (cy.hasElementWithId(_data.id) || elesIds.has(_data.id)) { + continue; // can't create element if prior id already exists + } + + var ele = new Element(cy, json, false); + eles.push(ele); + elesIds.add(_data.id); + } + elements = eles; + } + this.length = 0; + for (var _i = 0, _l = elements.length; _i < _l; _i++) { + var element$1 = elements[_i][0]; // [0] in case elements is an array of collections, rather than array of elements + if (element$1 == null) { + continue; + } + var id = element$1._private.data.id; + if (!unique || !map.has(id)) { + if (unique) { + map.set(id, { + index: this.length, + ele: element$1 + }); + } + this[this.length] = element$1; + this.length++; + } + } + this._private = { + eles: this, + cy: cy, + get map() { + if (this.lazyMap == null) { + this.rebuildMap(); + } + return this.lazyMap; + }, + set map(m) { + this.lazyMap = m; + }, + rebuildMap: function rebuildMap() { + var m = this.lazyMap = new Map$1(); + var eles = this.eles; + for (var _i2 = 0; _i2 < eles.length; _i2++) { + var _ele = eles[_i2]; + m.set(_ele.id(), { + index: _i2, + ele: _ele + }); + } + } + }; + if (unique) { + this._private.map = map; + } + + // restore the elements if we created them from json + if (createdElements && !removed) { + this.restore(); + } +}; + +// Functions +//////////////////////////////////////////////////////////////////////////////////////////////////// + +// keep the prototypes in sync (an element has the same functions as a collection) +// and use elefn and elesfn as shorthands to the prototypes +var elesfn$1 = Element.prototype = Collection.prototype = Object.create(Array.prototype); +elesfn$1.instanceString = function () { + return 'collection'; +}; +elesfn$1.spawn = function (eles, unique) { + return new Collection(this.cy(), eles, unique); +}; +elesfn$1.spawnSelf = function () { + return this.spawn(this); +}; +elesfn$1.cy = function () { + return this._private.cy; +}; +elesfn$1.renderer = function () { + return this._private.cy.renderer(); +}; +elesfn$1.element = function () { + return this[0]; +}; +elesfn$1.collection = function () { + if (collection(this)) { + return this; + } else { + // an element + return new Collection(this._private.cy, [this]); + } +}; +elesfn$1.unique = function () { + return new Collection(this._private.cy, this, true); +}; +elesfn$1.hasElementWithId = function (id) { + id = '' + id; // id must be string + + return this._private.map.has(id); +}; +elesfn$1.getElementById = function (id) { + id = '' + id; // id must be string + + var cy = this._private.cy; + var entry = this._private.map.get(id); + return entry ? entry.ele : new Collection(cy); // get ele or empty collection +}; + +elesfn$1.$id = elesfn$1.getElementById; +elesfn$1.poolIndex = function () { + var cy = this._private.cy; + var eles = cy._private.elements; + var id = this[0]._private.data.id; + return eles._private.map.get(id).index; +}; +elesfn$1.indexOf = function (ele) { + var id = ele[0]._private.data.id; + return this._private.map.get(id).index; +}; +elesfn$1.indexOfId = function (id) { + id = '' + id; // id must be string + + return this._private.map.get(id).index; +}; +elesfn$1.json = function (obj) { + var ele = this.element(); + var cy = this.cy(); + if (ele == null && obj) { + return this; + } // can't set to no eles + + if (ele == null) { + return undefined; + } // can't get from no eles + + var p = ele._private; + if (plainObject(obj)) { + // set + + cy.startBatch(); + if (obj.data) { + ele.data(obj.data); + var _data2 = p.data; + if (ele.isEdge()) { + // source and target are immutable via data() + var move = false; + var spec = {}; + var src = obj.data.source; + var tgt = obj.data.target; + if (src != null && src != _data2.source) { + spec.source = '' + src; // id must be string + move = true; + } + if (tgt != null && tgt != _data2.target) { + spec.target = '' + tgt; // id must be string + move = true; + } + if (move) { + ele = ele.move(spec); + } + } else { + // parent is immutable via data() + var newParentValSpecd = ('parent' in obj.data); + var parent = obj.data.parent; + if (newParentValSpecd && (parent != null || _data2.parent != null) && parent != _data2.parent) { + if (parent === undefined) { + // can't set undefined imperatively, so use null + parent = null; + } + if (parent != null) { + parent = '' + parent; // id must be string + } + + ele = ele.move({ + parent: parent + }); + } + } + } + if (obj.position) { + ele.position(obj.position); + } + + // ignore group -- immutable + + var checkSwitch = function checkSwitch(k, trueFnName, falseFnName) { + var obj_k = obj[k]; + if (obj_k != null && obj_k !== p[k]) { + if (obj_k) { + ele[trueFnName](); + } else { + ele[falseFnName](); + } + } + }; + checkSwitch('removed', 'remove', 'restore'); + checkSwitch('selected', 'select', 'unselect'); + checkSwitch('selectable', 'selectify', 'unselectify'); + checkSwitch('locked', 'lock', 'unlock'); + checkSwitch('grabbable', 'grabify', 'ungrabify'); + checkSwitch('pannable', 'panify', 'unpanify'); + if (obj.classes != null) { + ele.classes(obj.classes); + } + cy.endBatch(); + return this; + } else if (obj === undefined) { + // get + + var json = { + data: copy(p.data), + position: copy(p.position), + group: p.group, + removed: p.removed, + selected: p.selected, + selectable: p.selectable, + locked: p.locked, + grabbable: p.grabbable, + pannable: p.pannable, + classes: null + }; + json.classes = ''; + var i = 0; + p.classes.forEach(function (cls) { + return json.classes += i++ === 0 ? cls : ' ' + cls; + }); + return json; + } +}; +elesfn$1.jsons = function () { + var jsons = []; + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var json = ele.json(); + jsons.push(json); + } + return jsons; +}; +elesfn$1.clone = function () { + var cy = this.cy(); + var elesArr = []; + for (var i = 0; i < this.length; i++) { + var ele = this[i]; + var json = ele.json(); + var clone = new Element(cy, json, false); // NB no restore + + elesArr.push(clone); + } + return new Collection(cy, elesArr); +}; +elesfn$1.copy = elesfn$1.clone; +elesfn$1.restore = function () { + var notifyRenderer = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : true; + var addToPool = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; + var self = this; + var cy = self.cy(); + var cy_p = cy._private; + + // create arrays of nodes and edges, since we need to + // restore the nodes first + var nodes = []; + var edges = []; + var elements; + for (var _i3 = 0, l = self.length; _i3 < l; _i3++) { + var ele = self[_i3]; + if (addToPool && !ele.removed()) { + // don't need to handle this ele + continue; + } + + // keep nodes first in the array and edges after + if (ele.isNode()) { + // put to front of array if node + nodes.push(ele); + } else { + // put to end of array if edge + edges.push(ele); + } + } + elements = nodes.concat(edges); + var i; + var removeFromElements = function removeFromElements() { + elements.splice(i, 1); + i--; + }; + + // now, restore each element + for (i = 0; i < elements.length; i++) { + var _ele2 = elements[i]; + var _private = _ele2._private; + var _data3 = _private.data; + + // the traversal cache should start fresh when ele is added + _ele2.clearTraversalCache(); + + // set id and validate + if (!addToPool && !_private.removed) ; else if (_data3.id === undefined) { + _data3.id = uuid(); + } else if (number$1(_data3.id)) { + _data3.id = '' + _data3.id; // now it's a string + } else if (emptyString(_data3.id) || !string(_data3.id)) { + error('Can not create element with invalid string ID `' + _data3.id + '`'); + + // can't create element if it has empty string as id or non-string id + removeFromElements(); + continue; + } else if (cy.hasElementWithId(_data3.id)) { + error('Can not create second element with ID `' + _data3.id + '`'); + + // can't create element if one already has that id + removeFromElements(); + continue; + } + var id = _data3.id; // id is finalised, now let's keep a ref + + if (_ele2.isNode()) { + // extra checks for nodes + var pos = _private.position; + + // make sure the nodes have a defined position + + if (pos.x == null) { + pos.x = 0; + } + if (pos.y == null) { + pos.y = 0; + } + } + if (_ele2.isEdge()) { + // extra checks for edges + + var edge = _ele2; + var fields = ['source', 'target']; + var fieldsLength = fields.length; + var badSourceOrTarget = false; + for (var j = 0; j < fieldsLength; j++) { + var field = fields[j]; + var val = _data3[field]; + if (number$1(val)) { + val = _data3[field] = '' + _data3[field]; // now string + } + + if (val == null || val === '') { + // can't create if source or target is not defined properly + error('Can not create edge `' + id + '` with unspecified ' + field); + badSourceOrTarget = true; + } else if (!cy.hasElementWithId(val)) { + // can't create edge if one of its nodes doesn't exist + error('Can not create edge `' + id + '` with nonexistant ' + field + ' `' + val + '`'); + badSourceOrTarget = true; + } + } + if (badSourceOrTarget) { + removeFromElements(); + continue; + } // can't create this + + var src = cy.getElementById(_data3.source); + var tgt = cy.getElementById(_data3.target); + + // only one edge in node if loop + if (src.same(tgt)) { + src._private.edges.push(edge); + } else { + src._private.edges.push(edge); + tgt._private.edges.push(edge); + } + edge._private.source = src; + edge._private.target = tgt; + } // if is edge + + // create mock ids / indexes maps for element so it can be used like collections + _private.map = new Map$1(); + _private.map.set(id, { + ele: _ele2, + index: 0 + }); + _private.removed = false; + if (addToPool) { + cy.addToPool(_ele2); + } + } // for each element + + // do compound node sanity checks + for (var _i4 = 0; _i4 < nodes.length; _i4++) { + // each node + var node = nodes[_i4]; + var _data4 = node._private.data; + if (number$1(_data4.parent)) { + // then automake string + _data4.parent = '' + _data4.parent; + } + var parentId = _data4.parent; + var specifiedParent = parentId != null; + if (specifiedParent || node._private.parent) { + var parent = node._private.parent ? cy.collection().merge(node._private.parent) : cy.getElementById(parentId); + if (parent.empty()) { + // non-existant parent; just remove it + _data4.parent = undefined; + } else if (parent[0].removed()) { + warn('Node added with missing parent, reference to parent removed'); + _data4.parent = undefined; + node._private.parent = null; + } else { + var selfAsParent = false; + var ancestor = parent; + while (!ancestor.empty()) { + if (node.same(ancestor)) { + // mark self as parent and remove from data + selfAsParent = true; + _data4.parent = undefined; // remove parent reference + + // exit or we loop forever + break; + } + ancestor = ancestor.parent(); + } + if (!selfAsParent) { + // connect with children + parent[0]._private.children.push(node); + node._private.parent = parent[0]; + + // let the core know we have a compound graph + cy_p.hasCompoundNodes = true; + } + } // else + } // if specified parent + } // for each node + + if (elements.length > 0) { + var restored = elements.length === self.length ? self : new Collection(cy, elements); + for (var _i5 = 0; _i5 < restored.length; _i5++) { + var _ele3 = restored[_i5]; + if (_ele3.isNode()) { + continue; + } + + // adding an edge invalidates the traversal caches for the parallel edges + _ele3.parallelEdges().clearTraversalCache(); + + // adding an edge invalidates the traversal cache for the connected nodes + _ele3.source().clearTraversalCache(); + _ele3.target().clearTraversalCache(); + } + var toUpdateStyle; + if (cy_p.hasCompoundNodes) { + toUpdateStyle = cy.collection().merge(restored).merge(restored.connectedNodes()).merge(restored.parent()); + } else { + toUpdateStyle = restored; + } + toUpdateStyle.dirtyCompoundBoundsCache().dirtyBoundingBoxCache().updateStyle(notifyRenderer); + if (notifyRenderer) { + restored.emitAndNotify('add'); + } else if (addToPool) { + restored.emit('add'); + } + } + return self; // chainability +}; + +elesfn$1.removed = function () { + var ele = this[0]; + return ele && ele._private.removed; +}; +elesfn$1.inside = function () { + var ele = this[0]; + return ele && !ele._private.removed; +}; +elesfn$1.remove = function () { + var notifyRenderer = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : true; + var removeFromPool = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; + var self = this; + var elesToRemove = []; + var elesToRemoveIds = {}; + var cy = self._private.cy; + + // add connected edges + function addConnectedEdges(node) { + var edges = node._private.edges; + for (var i = 0; i < edges.length; i++) { + add(edges[i]); + } + } + + // add descendant nodes + function addChildren(node) { + var children = node._private.children; + for (var i = 0; i < children.length; i++) { + add(children[i]); + } + } + function add(ele) { + var alreadyAdded = elesToRemoveIds[ele.id()]; + if (removeFromPool && ele.removed() || alreadyAdded) { + return; + } else { + elesToRemoveIds[ele.id()] = true; + } + if (ele.isNode()) { + elesToRemove.push(ele); // nodes are removed last + + addConnectedEdges(ele); + addChildren(ele); + } else { + elesToRemove.unshift(ele); // edges are removed first + } + } + + // make the list of elements to remove + // (may be removing more than specified due to connected edges etc) + + for (var i = 0, l = self.length; i < l; i++) { + var ele = self[i]; + add(ele); + } + function removeEdgeRef(node, edge) { + var connectedEdges = node._private.edges; + removeFromArray(connectedEdges, edge); + + // removing an edges invalidates the traversal cache for its nodes + node.clearTraversalCache(); + } + function removeParallelRef(pllEdge) { + // removing an edge invalidates the traversal caches for the parallel edges + pllEdge.clearTraversalCache(); + } + var alteredParents = []; + alteredParents.ids = {}; + function removeChildRef(parent, ele) { + ele = ele[0]; + parent = parent[0]; + var children = parent._private.children; + var pid = parent.id(); + removeFromArray(children, ele); // remove parent => child ref + + ele._private.parent = null; // remove child => parent ref + + if (!alteredParents.ids[pid]) { + alteredParents.ids[pid] = true; + alteredParents.push(parent); + } + } + self.dirtyCompoundBoundsCache(); + if (removeFromPool) { + cy.removeFromPool(elesToRemove); // remove from core pool + } + + for (var _i6 = 0; _i6 < elesToRemove.length; _i6++) { + var _ele4 = elesToRemove[_i6]; + if (_ele4.isEdge()) { + // remove references to this edge in its connected nodes + var src = _ele4.source()[0]; + var tgt = _ele4.target()[0]; + removeEdgeRef(src, _ele4); + removeEdgeRef(tgt, _ele4); + var pllEdges = _ele4.parallelEdges(); + for (var j = 0; j < pllEdges.length; j++) { + var pllEdge = pllEdges[j]; + removeParallelRef(pllEdge); + if (pllEdge.isBundledBezier()) { + pllEdge.dirtyBoundingBoxCache(); + } + } + } else { + // remove reference to parent + var parent = _ele4.parent(); + if (parent.length !== 0) { + removeChildRef(parent, _ele4); + } + } + if (removeFromPool) { + // mark as removed + _ele4._private.removed = true; + } + } + + // check to see if we have a compound graph or not + var elesStillInside = cy._private.elements; + cy._private.hasCompoundNodes = false; + for (var _i7 = 0; _i7 < elesStillInside.length; _i7++) { + var _ele5 = elesStillInside[_i7]; + if (_ele5.isParent()) { + cy._private.hasCompoundNodes = true; + break; + } + } + var removedElements = new Collection(this.cy(), elesToRemove); + if (removedElements.size() > 0) { + // must manually notify since trigger won't do this automatically once removed + + if (notifyRenderer) { + removedElements.emitAndNotify('remove'); + } else if (removeFromPool) { + removedElements.emit('remove'); + } + } + + // the parents who were modified by the removal need their style updated + for (var _i8 = 0; _i8 < alteredParents.length; _i8++) { + var _ele6 = alteredParents[_i8]; + if (!removeFromPool || !_ele6.removed()) { + _ele6.updateStyle(); + } + } + return removedElements; +}; +elesfn$1.move = function (struct) { + var cy = this._private.cy; + var eles = this; + + // just clean up refs, caches, etc. in the same way as when removing and then restoring + // (our calls to remove/restore do not remove from the graph or make events) + var notifyRenderer = false; + var modifyPool = false; + var toString = function toString(id) { + return id == null ? id : '' + id; + }; // id must be string + + if (struct.source !== undefined || struct.target !== undefined) { + var srcId = toString(struct.source); + var tgtId = toString(struct.target); + var srcExists = srcId != null && cy.hasElementWithId(srcId); + var tgtExists = tgtId != null && cy.hasElementWithId(tgtId); + if (srcExists || tgtExists) { + cy.batch(function () { + // avoid duplicate style updates + eles.remove(notifyRenderer, modifyPool); // clean up refs etc. + eles.emitAndNotify('moveout'); + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var _data5 = ele._private.data; + if (ele.isEdge()) { + if (srcExists) { + _data5.source = srcId; + } + if (tgtExists) { + _data5.target = tgtId; + } + } + } + eles.restore(notifyRenderer, modifyPool); // make new refs, style, etc. + }); + + eles.emitAndNotify('move'); + } + } else if (struct.parent !== undefined) { + // move node to new parent + var parentId = toString(struct.parent); + var parentExists = parentId === null || cy.hasElementWithId(parentId); + if (parentExists) { + var pidToAssign = parentId === null ? undefined : parentId; + cy.batch(function () { + // avoid duplicate style updates + var updated = eles.remove(notifyRenderer, modifyPool); // clean up refs etc. + updated.emitAndNotify('moveout'); + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var _data6 = ele._private.data; + if (ele.isNode()) { + _data6.parent = pidToAssign; + } + } + updated.restore(notifyRenderer, modifyPool); // make new refs, style, etc. + }); + + eles.emitAndNotify('move'); + } + } + return this; +}; +[elesfn$j, elesfn$i, elesfn$h, elesfn$g, elesfn$f, data, elesfn$d, dimensions, elesfn$9, elesfn$8, elesfn$7, elesfn$6, elesfn$5, elesfn$4, elesfn$3, elesfn$2].forEach(function (props) { + extend(elesfn$1, props); +}); + +var corefn$9 = { + add: function add(opts) { + var elements; + var cy = this; + + // add the elements + if (elementOrCollection(opts)) { + var eles = opts; + if (eles._private.cy === cy) { + // same instance => just restore + elements = eles.restore(); + } else { + // otherwise, copy from json + var jsons = []; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + jsons.push(ele.json()); + } + elements = new Collection(cy, jsons); + } + } + + // specify an array of options + else if (array(opts)) { + var _jsons = opts; + elements = new Collection(cy, _jsons); + } + + // specify via opts.nodes and opts.edges + else if (plainObject(opts) && (array(opts.nodes) || array(opts.edges))) { + var elesByGroup = opts; + var _jsons2 = []; + var grs = ['nodes', 'edges']; + for (var _i = 0, il = grs.length; _i < il; _i++) { + var group = grs[_i]; + var elesArray = elesByGroup[group]; + if (array(elesArray)) { + for (var j = 0, jl = elesArray.length; j < jl; j++) { + var json = extend({ + group: group + }, elesArray[j]); + _jsons2.push(json); + } + } + } + elements = new Collection(cy, _jsons2); + } + + // specify options for one element + else { + var _json = opts; + elements = new Element(cy, _json).collection(); + } + return elements; + }, + remove: function remove(collection) { + if (elementOrCollection(collection)) ; else if (string(collection)) { + var selector = collection; + collection = this.$(selector); + } + return collection.remove(); + } +}; + +/* global Float32Array */ + +/*! Bezier curve function generator. Copyright Gaetan Renaudeau. MIT License: http://en.wikipedia.org/wiki/MIT_License */ +function generateCubicBezier(mX1, mY1, mX2, mY2) { + var NEWTON_ITERATIONS = 4, + NEWTON_MIN_SLOPE = 0.001, + SUBDIVISION_PRECISION = 0.0000001, + SUBDIVISION_MAX_ITERATIONS = 10, + kSplineTableSize = 11, + kSampleStepSize = 1.0 / (kSplineTableSize - 1.0), + float32ArraySupported = typeof Float32Array !== 'undefined'; + + /* Must contain four arguments. */ + if (arguments.length !== 4) { + return false; + } + + /* Arguments must be numbers. */ + for (var i = 0; i < 4; ++i) { + if (typeof arguments[i] !== "number" || isNaN(arguments[i]) || !isFinite(arguments[i])) { + return false; + } + } + + /* X values must be in the [0, 1] range. */ + mX1 = Math.min(mX1, 1); + mX2 = Math.min(mX2, 1); + mX1 = Math.max(mX1, 0); + mX2 = Math.max(mX2, 0); + var mSampleValues = float32ArraySupported ? new Float32Array(kSplineTableSize) : new Array(kSplineTableSize); + function A(aA1, aA2) { + return 1.0 - 3.0 * aA2 + 3.0 * aA1; + } + function B(aA1, aA2) { + return 3.0 * aA2 - 6.0 * aA1; + } + function C(aA1) { + return 3.0 * aA1; + } + function calcBezier(aT, aA1, aA2) { + return ((A(aA1, aA2) * aT + B(aA1, aA2)) * aT + C(aA1)) * aT; + } + function getSlope(aT, aA1, aA2) { + return 3.0 * A(aA1, aA2) * aT * aT + 2.0 * B(aA1, aA2) * aT + C(aA1); + } + function newtonRaphsonIterate(aX, aGuessT) { + for (var _i = 0; _i < NEWTON_ITERATIONS; ++_i) { + var currentSlope = getSlope(aGuessT, mX1, mX2); + if (currentSlope === 0.0) { + return aGuessT; + } + var currentX = calcBezier(aGuessT, mX1, mX2) - aX; + aGuessT -= currentX / currentSlope; + } + return aGuessT; + } + function calcSampleValues() { + for (var _i2 = 0; _i2 < kSplineTableSize; ++_i2) { + mSampleValues[_i2] = calcBezier(_i2 * kSampleStepSize, mX1, mX2); + } + } + function binarySubdivide(aX, aA, aB) { + var currentX, + currentT, + i = 0; + do { + currentT = aA + (aB - aA) / 2.0; + currentX = calcBezier(currentT, mX1, mX2) - aX; + if (currentX > 0.0) { + aB = currentT; + } else { + aA = currentT; + } + } while (Math.abs(currentX) > SUBDIVISION_PRECISION && ++i < SUBDIVISION_MAX_ITERATIONS); + return currentT; + } + function getTForX(aX) { + var intervalStart = 0.0, + currentSample = 1, + lastSample = kSplineTableSize - 1; + for (; currentSample !== lastSample && mSampleValues[currentSample] <= aX; ++currentSample) { + intervalStart += kSampleStepSize; + } + --currentSample; + var dist = (aX - mSampleValues[currentSample]) / (mSampleValues[currentSample + 1] - mSampleValues[currentSample]), + guessForT = intervalStart + dist * kSampleStepSize, + initialSlope = getSlope(guessForT, mX1, mX2); + if (initialSlope >= NEWTON_MIN_SLOPE) { + return newtonRaphsonIterate(aX, guessForT); + } else if (initialSlope === 0.0) { + return guessForT; + } else { + return binarySubdivide(aX, intervalStart, intervalStart + kSampleStepSize); + } + } + var _precomputed = false; + function precompute() { + _precomputed = true; + if (mX1 !== mY1 || mX2 !== mY2) { + calcSampleValues(); + } + } + var f = function f(aX) { + if (!_precomputed) { + precompute(); + } + if (mX1 === mY1 && mX2 === mY2) { + return aX; + } + if (aX === 0) { + return 0; + } + if (aX === 1) { + return 1; + } + return calcBezier(getTForX(aX), mY1, mY2); + }; + f.getControlPoints = function () { + return [{ + x: mX1, + y: mY1 + }, { + x: mX2, + y: mY2 + }]; + }; + var str = "generateBezier(" + [mX1, mY1, mX2, mY2] + ")"; + f.toString = function () { + return str; + }; + return f; +} + +/*! Runge-Kutta spring physics function generator. Adapted from Framer.js, copyright Koen Bok. MIT License: http://en.wikipedia.org/wiki/MIT_License */ +/* Given a tension, friction, and duration, a simulation at 60FPS will first run without a defined duration in order to calculate the full path. A second pass + then adjusts the time delta -- using the relation between actual time and duration -- to calculate the path for the duration-constrained animation. */ +var generateSpringRK4 = function () { + function springAccelerationForState(state) { + return -state.tension * state.x - state.friction * state.v; + } + function springEvaluateStateWithDerivative(initialState, dt, derivative) { + var state = { + x: initialState.x + derivative.dx * dt, + v: initialState.v + derivative.dv * dt, + tension: initialState.tension, + friction: initialState.friction + }; + return { + dx: state.v, + dv: springAccelerationForState(state) + }; + } + function springIntegrateState(state, dt) { + var a = { + dx: state.v, + dv: springAccelerationForState(state) + }, + b = springEvaluateStateWithDerivative(state, dt * 0.5, a), + c = springEvaluateStateWithDerivative(state, dt * 0.5, b), + d = springEvaluateStateWithDerivative(state, dt, c), + dxdt = 1.0 / 6.0 * (a.dx + 2.0 * (b.dx + c.dx) + d.dx), + dvdt = 1.0 / 6.0 * (a.dv + 2.0 * (b.dv + c.dv) + d.dv); + state.x = state.x + dxdt * dt; + state.v = state.v + dvdt * dt; + return state; + } + return function springRK4Factory(tension, friction, duration) { + var initState = { + x: -1, + v: 0, + tension: null, + friction: null + }, + path = [0], + time_lapsed = 0, + tolerance = 1 / 10000, + DT = 16 / 1000, + have_duration, + dt, + last_state; + tension = parseFloat(tension) || 500; + friction = parseFloat(friction) || 20; + duration = duration || null; + initState.tension = tension; + initState.friction = friction; + have_duration = duration !== null; + + /* Calculate the actual time it takes for this animation to complete with the provided conditions. */ + if (have_duration) { + /* Run the simulation without a duration. */ + time_lapsed = springRK4Factory(tension, friction); + /* Compute the adjusted time delta. */ + dt = time_lapsed / duration * DT; + } else { + dt = DT; + } + for (;;) { + /* Next/step function .*/ + last_state = springIntegrateState(last_state || initState, dt); + /* Store the position. */ + path.push(1 + last_state.x); + time_lapsed += 16; + /* If the change threshold is reached, break. */ + if (!(Math.abs(last_state.x) > tolerance && Math.abs(last_state.v) > tolerance)) { + break; + } + } + + /* If duration is not defined, return the actual time required for completing this animation. Otherwise, return a closure that holds the + computed path and returns a snapshot of the position according to a given percentComplete. */ + return !have_duration ? time_lapsed : function (percentComplete) { + return path[percentComplete * (path.length - 1) | 0]; + }; + }; +}(); + +var cubicBezier = function cubicBezier(t1, p1, t2, p2) { + var bezier = generateCubicBezier(t1, p1, t2, p2); + return function (start, end, percent) { + return start + (end - start) * bezier(percent); + }; +}; +var easings = { + 'linear': function linear(start, end, percent) { + return start + (end - start) * percent; + }, + // default easings + 'ease': cubicBezier(0.25, 0.1, 0.25, 1), + 'ease-in': cubicBezier(0.42, 0, 1, 1), + 'ease-out': cubicBezier(0, 0, 0.58, 1), + 'ease-in-out': cubicBezier(0.42, 0, 0.58, 1), + // sine + 'ease-in-sine': cubicBezier(0.47, 0, 0.745, 0.715), + 'ease-out-sine': cubicBezier(0.39, 0.575, 0.565, 1), + 'ease-in-out-sine': cubicBezier(0.445, 0.05, 0.55, 0.95), + // quad + 'ease-in-quad': cubicBezier(0.55, 0.085, 0.68, 0.53), + 'ease-out-quad': cubicBezier(0.25, 0.46, 0.45, 0.94), + 'ease-in-out-quad': cubicBezier(0.455, 0.03, 0.515, 0.955), + // cubic + 'ease-in-cubic': cubicBezier(0.55, 0.055, 0.675, 0.19), + 'ease-out-cubic': cubicBezier(0.215, 0.61, 0.355, 1), + 'ease-in-out-cubic': cubicBezier(0.645, 0.045, 0.355, 1), + // quart + 'ease-in-quart': cubicBezier(0.895, 0.03, 0.685, 0.22), + 'ease-out-quart': cubicBezier(0.165, 0.84, 0.44, 1), + 'ease-in-out-quart': cubicBezier(0.77, 0, 0.175, 1), + // quint + 'ease-in-quint': cubicBezier(0.755, 0.05, 0.855, 0.06), + 'ease-out-quint': cubicBezier(0.23, 1, 0.32, 1), + 'ease-in-out-quint': cubicBezier(0.86, 0, 0.07, 1), + // expo + 'ease-in-expo': cubicBezier(0.95, 0.05, 0.795, 0.035), + 'ease-out-expo': cubicBezier(0.19, 1, 0.22, 1), + 'ease-in-out-expo': cubicBezier(1, 0, 0, 1), + // circ + 'ease-in-circ': cubicBezier(0.6, 0.04, 0.98, 0.335), + 'ease-out-circ': cubicBezier(0.075, 0.82, 0.165, 1), + 'ease-in-out-circ': cubicBezier(0.785, 0.135, 0.15, 0.86), + // user param easings... + + 'spring': function spring(tension, friction, duration) { + if (duration === 0) { + // can't get a spring w/ duration 0 + return easings.linear; // duration 0 => jump to end so impl doesn't matter + } + + var spring = generateSpringRK4(tension, friction, duration); + return function (start, end, percent) { + return start + (end - start) * spring(percent); + }; + }, + 'cubic-bezier': cubicBezier +}; + +function getEasedValue(type, start, end, percent, easingFn) { + if (percent === 1) { + return end; + } + if (start === end) { + return end; + } + var val = easingFn(start, end, percent); + if (type == null) { + return val; + } + if (type.roundValue || type.color) { + val = Math.round(val); + } + if (type.min !== undefined) { + val = Math.max(val, type.min); + } + if (type.max !== undefined) { + val = Math.min(val, type.max); + } + return val; +} +function getValue(prop, spec) { + if (prop.pfValue != null || prop.value != null) { + if (prop.pfValue != null && (spec == null || spec.type.units !== '%')) { + return prop.pfValue; + } else { + return prop.value; + } + } else { + return prop; + } +} +function ease(startProp, endProp, percent, easingFn, propSpec) { + var type = propSpec != null ? propSpec.type : null; + if (percent < 0) { + percent = 0; + } else if (percent > 1) { + percent = 1; + } + var start = getValue(startProp, propSpec); + var end = getValue(endProp, propSpec); + if (number$1(start) && number$1(end)) { + return getEasedValue(type, start, end, percent, easingFn); + } else if (array(start) && array(end)) { + var easedArr = []; + for (var i = 0; i < end.length; i++) { + var si = start[i]; + var ei = end[i]; + if (si != null && ei != null) { + var val = getEasedValue(type, si, ei, percent, easingFn); + easedArr.push(val); + } else { + easedArr.push(ei); + } + } + return easedArr; + } + return undefined; +} + +function step$1(self, ani, now, isCore) { + var isEles = !isCore; + var _p = self._private; + var ani_p = ani._private; + var pEasing = ani_p.easing; + var startTime = ani_p.startTime; + var cy = isCore ? self : self.cy(); + var style = cy.style(); + if (!ani_p.easingImpl) { + if (pEasing == null) { + // use default + ani_p.easingImpl = easings['linear']; + } else { + // then define w/ name + var easingVals; + if (string(pEasing)) { + var easingProp = style.parse('transition-timing-function', pEasing); + easingVals = easingProp.value; + } else { + // then assume preparsed array + easingVals = pEasing; + } + var name, args; + if (string(easingVals)) { + name = easingVals; + args = []; + } else { + name = easingVals[1]; + args = easingVals.slice(2).map(function (n) { + return +n; + }); + } + if (args.length > 0) { + // create with args + if (name === 'spring') { + args.push(ani_p.duration); // need duration to generate spring + } + + ani_p.easingImpl = easings[name].apply(null, args); + } else { + // static impl by name + ani_p.easingImpl = easings[name]; + } + } + } + var easing = ani_p.easingImpl; + var percent; + if (ani_p.duration === 0) { + percent = 1; + } else { + percent = (now - startTime) / ani_p.duration; + } + if (ani_p.applying) { + percent = ani_p.progress; + } + if (percent < 0) { + percent = 0; + } else if (percent > 1) { + percent = 1; + } + if (ani_p.delay == null) { + // then update + + var startPos = ani_p.startPosition; + var endPos = ani_p.position; + if (endPos && isEles && !self.locked()) { + var newPos = {}; + if (valid(startPos.x, endPos.x)) { + newPos.x = ease(startPos.x, endPos.x, percent, easing); + } + if (valid(startPos.y, endPos.y)) { + newPos.y = ease(startPos.y, endPos.y, percent, easing); + } + self.position(newPos); + } + var startPan = ani_p.startPan; + var endPan = ani_p.pan; + var pan = _p.pan; + var animatingPan = endPan != null && isCore; + if (animatingPan) { + if (valid(startPan.x, endPan.x)) { + pan.x = ease(startPan.x, endPan.x, percent, easing); + } + if (valid(startPan.y, endPan.y)) { + pan.y = ease(startPan.y, endPan.y, percent, easing); + } + self.emit('pan'); + } + var startZoom = ani_p.startZoom; + var endZoom = ani_p.zoom; + var animatingZoom = endZoom != null && isCore; + if (animatingZoom) { + if (valid(startZoom, endZoom)) { + _p.zoom = bound(_p.minZoom, ease(startZoom, endZoom, percent, easing), _p.maxZoom); + } + self.emit('zoom'); + } + if (animatingPan || animatingZoom) { + self.emit('viewport'); + } + var props = ani_p.style; + if (props && props.length > 0 && isEles) { + for (var i = 0; i < props.length; i++) { + var prop = props[i]; + var _name = prop.name; + var end = prop; + var start = ani_p.startStyle[_name]; + var propSpec = style.properties[start.name]; + var easedVal = ease(start, end, percent, easing, propSpec); + style.overrideBypass(self, _name, easedVal); + } // for props + + self.emit('style'); + } // if + } + + ani_p.progress = percent; + return percent; +} +function valid(start, end) { + if (start == null || end == null) { + return false; + } + if (number$1(start) && number$1(end)) { + return true; + } else if (start && end) { + return true; + } + return false; +} + +function startAnimation(self, ani, now, isCore) { + var ani_p = ani._private; + ani_p.started = true; + ani_p.startTime = now - ani_p.progress * ani_p.duration; +} + +function stepAll(now, cy) { + var eles = cy._private.aniEles; + var doneEles = []; + function stepOne(ele, isCore) { + var _p = ele._private; + var current = _p.animation.current; + var queue = _p.animation.queue; + var ranAnis = false; + + // if nothing currently animating, get something from the queue + if (current.length === 0) { + var next = queue.shift(); + if (next) { + current.push(next); + } + } + var callbacks = function callbacks(_callbacks) { + for (var j = _callbacks.length - 1; j >= 0; j--) { + var cb = _callbacks[j]; + cb(); + } + _callbacks.splice(0, _callbacks.length); + }; + + // step and remove if done + for (var i = current.length - 1; i >= 0; i--) { + var ani = current[i]; + var ani_p = ani._private; + if (ani_p.stopped) { + current.splice(i, 1); + ani_p.hooked = false; + ani_p.playing = false; + ani_p.started = false; + callbacks(ani_p.frames); + continue; + } + if (!ani_p.playing && !ani_p.applying) { + continue; + } + + // an apply() while playing shouldn't do anything + if (ani_p.playing && ani_p.applying) { + ani_p.applying = false; + } + if (!ani_p.started) { + startAnimation(ele, ani, now); + } + step$1(ele, ani, now, isCore); + if (ani_p.applying) { + ani_p.applying = false; + } + callbacks(ani_p.frames); + if (ani_p.step != null) { + ani_p.step(now); + } + if (ani.completed()) { + current.splice(i, 1); + ani_p.hooked = false; + ani_p.playing = false; + ani_p.started = false; + callbacks(ani_p.completes); + } + ranAnis = true; + } + if (!isCore && current.length === 0 && queue.length === 0) { + doneEles.push(ele); + } + return ranAnis; + } // stepElement + + // handle all eles + var ranEleAni = false; + for (var e = 0; e < eles.length; e++) { + var ele = eles[e]; + var handledThisEle = stepOne(ele); + ranEleAni = ranEleAni || handledThisEle; + } // each element + + var ranCoreAni = stepOne(cy, true); + + // notify renderer + if (ranEleAni || ranCoreAni) { + if (eles.length > 0) { + cy.notify('draw', eles); + } else { + cy.notify('draw'); + } + } + + // remove elements from list of currently animating if its queues are empty + eles.unmerge(doneEles); + cy.emit('step'); +} // stepAll + +var corefn$8 = { + // pull in animation functions + animate: define.animate(), + animation: define.animation(), + animated: define.animated(), + clearQueue: define.clearQueue(), + delay: define.delay(), + delayAnimation: define.delayAnimation(), + stop: define.stop(), + addToAnimationPool: function addToAnimationPool(eles) { + var cy = this; + if (!cy.styleEnabled()) { + return; + } // save cycles when no style used + + cy._private.aniEles.merge(eles); + }, + stopAnimationLoop: function stopAnimationLoop() { + this._private.animationsRunning = false; + }, + startAnimationLoop: function startAnimationLoop() { + var cy = this; + cy._private.animationsRunning = true; + if (!cy.styleEnabled()) { + return; + } // save cycles when no style used + + // NB the animation loop will exec in headless environments if style enabled + // and explicit cy.destroy() is necessary to stop the loop + + function headlessStep() { + if (!cy._private.animationsRunning) { + return; + } + requestAnimationFrame(function animationStep(now) { + stepAll(now, cy); + headlessStep(); + }); + } + var renderer = cy.renderer(); + if (renderer && renderer.beforeRender) { + // let the renderer schedule animations + renderer.beforeRender(function rendererAnimationStep(willDraw, now) { + stepAll(now, cy); + }, renderer.beforeRenderPriorities.animations); + } else { + // manage the animation loop ourselves + headlessStep(); // first call + } + } +}; + +var emitterOptions = { + qualifierCompare: function qualifierCompare(selector1, selector2) { + if (selector1 == null || selector2 == null) { + return selector1 == null && selector2 == null; + } else { + return selector1.sameText(selector2); + } + }, + eventMatches: function eventMatches(cy, listener, eventObj) { + var selector = listener.qualifier; + if (selector != null) { + return cy !== eventObj.target && element(eventObj.target) && selector.matches(eventObj.target); + } + return true; + }, + addEventFields: function addEventFields(cy, evt) { + evt.cy = cy; + evt.target = cy; + }, + callbackContext: function callbackContext(cy, listener, eventObj) { + return listener.qualifier != null ? eventObj.target : cy; + } +}; +var argSelector = function argSelector(arg) { + if (string(arg)) { + return new Selector(arg); + } else { + return arg; + } +}; +var elesfn = { + createEmitter: function createEmitter() { + var _p = this._private; + if (!_p.emitter) { + _p.emitter = new Emitter(emitterOptions, this); + } + return this; + }, + emitter: function emitter() { + return this._private.emitter; + }, + on: function on(events, selector, callback) { + this.emitter().on(events, argSelector(selector), callback); + return this; + }, + removeListener: function removeListener(events, selector, callback) { + this.emitter().removeListener(events, argSelector(selector), callback); + return this; + }, + removeAllListeners: function removeAllListeners() { + this.emitter().removeAllListeners(); + return this; + }, + one: function one(events, selector, callback) { + this.emitter().one(events, argSelector(selector), callback); + return this; + }, + once: function once(events, selector, callback) { + this.emitter().one(events, argSelector(selector), callback); + return this; + }, + emit: function emit(events, extraParams) { + this.emitter().emit(events, extraParams); + return this; + }, + emitAndNotify: function emitAndNotify(event, eles) { + this.emit(event); + this.notify(event, eles); + return this; + } +}; +define.eventAliasesOn(elesfn); + +var corefn$7 = { + png: function png(options) { + var renderer = this._private.renderer; + options = options || {}; + return renderer.png(options); + }, + jpg: function jpg(options) { + var renderer = this._private.renderer; + options = options || {}; + options.bg = options.bg || '#fff'; + return renderer.jpg(options); + } +}; +corefn$7.jpeg = corefn$7.jpg; + +var corefn$6 = { + layout: function layout(options) { + var cy = this; + if (options == null) { + error('Layout options must be specified to make a layout'); + return; + } + if (options.name == null) { + error('A `name` must be specified to make a layout'); + return; + } + var name = options.name; + var Layout = cy.extension('layout', name); + if (Layout == null) { + error('No such layout `' + name + '` found. Did you forget to import it and `cytoscape.use()` it?'); + return; + } + var eles; + if (string(options.eles)) { + eles = cy.$(options.eles); + } else { + eles = options.eles != null ? options.eles : cy.$(); + } + var layout = new Layout(extend({}, options, { + cy: cy, + eles: eles + })); + return layout; + } +}; +corefn$6.createLayout = corefn$6.makeLayout = corefn$6.layout; + +var corefn$5 = { + notify: function notify(eventName, eventEles) { + var _p = this._private; + if (this.batching()) { + _p.batchNotifications = _p.batchNotifications || {}; + var eles = _p.batchNotifications[eventName] = _p.batchNotifications[eventName] || this.collection(); + if (eventEles != null) { + eles.merge(eventEles); + } + return; // notifications are disabled during batching + } + + if (!_p.notificationsEnabled) { + return; + } // exit on disabled + + var renderer = this.renderer(); + + // exit if destroy() called on core or renderer in between frames #1499 #1528 + if (this.destroyed() || !renderer) { + return; + } + renderer.notify(eventName, eventEles); + }, + notifications: function notifications(bool) { + var p = this._private; + if (bool === undefined) { + return p.notificationsEnabled; + } else { + p.notificationsEnabled = bool ? true : false; + } + return this; + }, + noNotifications: function noNotifications(callback) { + this.notifications(false); + callback(); + this.notifications(true); + }, + batching: function batching() { + return this._private.batchCount > 0; + }, + startBatch: function startBatch() { + var _p = this._private; + if (_p.batchCount == null) { + _p.batchCount = 0; + } + if (_p.batchCount === 0) { + _p.batchStyleEles = this.collection(); + _p.batchNotifications = {}; + } + _p.batchCount++; + return this; + }, + endBatch: function endBatch() { + var _p = this._private; + if (_p.batchCount === 0) { + return this; + } + _p.batchCount--; + if (_p.batchCount === 0) { + // update style for dirty eles + _p.batchStyleEles.updateStyle(); + var renderer = this.renderer(); + + // notify the renderer of queued eles and event types + Object.keys(_p.batchNotifications).forEach(function (eventName) { + var eles = _p.batchNotifications[eventName]; + if (eles.empty()) { + renderer.notify(eventName); + } else { + renderer.notify(eventName, eles); + } + }); + } + return this; + }, + batch: function batch(callback) { + this.startBatch(); + callback(); + this.endBatch(); + return this; + }, + // for backwards compatibility + batchData: function batchData(map) { + var cy = this; + return this.batch(function () { + var ids = Object.keys(map); + for (var i = 0; i < ids.length; i++) { + var id = ids[i]; + var data = map[id]; + var ele = cy.getElementById(id); + ele.data(data); + } + }); + } +}; + +var rendererDefaults = defaults$g({ + hideEdgesOnViewport: false, + textureOnViewport: false, + motionBlur: false, + motionBlurOpacity: 0.05, + pixelRatio: undefined, + desktopTapThreshold: 4, + touchTapThreshold: 8, + wheelSensitivity: 1, + debug: false, + showFps: false +}); +var corefn$4 = { + renderTo: function renderTo(context, zoom, pan, pxRatio) { + var r = this._private.renderer; + r.renderTo(context, zoom, pan, pxRatio); + return this; + }, + renderer: function renderer() { + return this._private.renderer; + }, + forceRender: function forceRender() { + this.notify('draw'); + return this; + }, + resize: function resize() { + this.invalidateSize(); + this.emitAndNotify('resize'); + return this; + }, + initRenderer: function initRenderer(options) { + var cy = this; + var RendererProto = cy.extension('renderer', options.name); + if (RendererProto == null) { + error("Can not initialise: No such renderer `".concat(options.name, "` found. Did you forget to import it and `cytoscape.use()` it?")); + return; + } + if (options.wheelSensitivity !== undefined) { + warn("You have set a custom wheel sensitivity. This will make your app zoom unnaturally when using mainstream mice. You should change this value from the default only if you can guarantee that all your users will use the same hardware and OS configuration as your current machine."); + } + var rOpts = rendererDefaults(options); + rOpts.cy = cy; + cy._private.renderer = new RendererProto(rOpts); + this.notify('init'); + }, + destroyRenderer: function destroyRenderer() { + var cy = this; + cy.notify('destroy'); // destroy the renderer + + var domEle = cy.container(); + if (domEle) { + domEle._cyreg = null; + while (domEle.childNodes.length > 0) { + domEle.removeChild(domEle.childNodes[0]); + } + } + cy._private.renderer = null; // to be extra safe, remove the ref + cy.mutableElements().forEach(function (ele) { + var _p = ele._private; + _p.rscratch = {}; + _p.rstyle = {}; + _p.animation.current = []; + _p.animation.queue = []; + }); + }, + onRender: function onRender(fn) { + return this.on('render', fn); + }, + offRender: function offRender(fn) { + return this.off('render', fn); + } +}; +corefn$4.invalidateDimensions = corefn$4.resize; + +var corefn$3 = { + // get a collection + // - empty collection on no args + // - collection of elements in the graph on selector arg + // - guarantee a returned collection when elements or collection specified + collection: function collection(eles, opts) { + if (string(eles)) { + return this.$(eles); + } else if (elementOrCollection(eles)) { + return eles.collection(); + } else if (array(eles)) { + if (!opts) { + opts = {}; + } + return new Collection(this, eles, opts.unique, opts.removed); + } + return new Collection(this); + }, + nodes: function nodes(selector) { + var nodes = this.$(function (ele) { + return ele.isNode(); + }); + if (selector) { + return nodes.filter(selector); + } + return nodes; + }, + edges: function edges(selector) { + var edges = this.$(function (ele) { + return ele.isEdge(); + }); + if (selector) { + return edges.filter(selector); + } + return edges; + }, + // search the graph like jQuery + $: function $(selector) { + var eles = this._private.elements; + if (selector) { + return eles.filter(selector); + } else { + return eles.spawnSelf(); + } + }, + mutableElements: function mutableElements() { + return this._private.elements; + } +}; + +// aliases +corefn$3.elements = corefn$3.filter = corefn$3.$; + +var styfn$8 = {}; + +// keys for style blocks, e.g. ttfftt +var TRUE = 't'; +var FALSE = 'f'; + +// (potentially expensive calculation) +// apply the style to the element based on +// - its bypass +// - what selectors match it +styfn$8.apply = function (eles) { + var self = this; + var _p = self._private; + var cy = _p.cy; + var updatedEles = cy.collection(); + for (var ie = 0; ie < eles.length; ie++) { + var ele = eles[ie]; + var cxtMeta = self.getContextMeta(ele); + if (cxtMeta.empty) { + continue; + } + var cxtStyle = self.getContextStyle(cxtMeta); + var app = self.applyContextStyle(cxtMeta, cxtStyle, ele); + if (ele._private.appliedInitStyle) { + self.updateTransitions(ele, app.diffProps); + } else { + ele._private.appliedInitStyle = true; + } + var hintsDiff = self.updateStyleHints(ele); + if (hintsDiff) { + updatedEles.push(ele); + } + } // for elements + + return updatedEles; +}; +styfn$8.getPropertiesDiff = function (oldCxtKey, newCxtKey) { + var self = this; + var cache = self._private.propDiffs = self._private.propDiffs || {}; + var dualCxtKey = oldCxtKey + '-' + newCxtKey; + var cachedVal = cache[dualCxtKey]; + if (cachedVal) { + return cachedVal; + } + var diffProps = []; + var addedProp = {}; + for (var i = 0; i < self.length; i++) { + var cxt = self[i]; + var oldHasCxt = oldCxtKey[i] === TRUE; + var newHasCxt = newCxtKey[i] === TRUE; + var cxtHasDiffed = oldHasCxt !== newHasCxt; + var cxtHasMappedProps = cxt.mappedProperties.length > 0; + if (cxtHasDiffed || newHasCxt && cxtHasMappedProps) { + var props = void 0; + if (cxtHasDiffed && cxtHasMappedProps) { + props = cxt.properties; // suffices b/c mappedProperties is a subset of properties + } else if (cxtHasDiffed) { + props = cxt.properties; // need to check them all + } else if (cxtHasMappedProps) { + props = cxt.mappedProperties; // only need to check mapped + } + + for (var j = 0; j < props.length; j++) { + var prop = props[j]; + var name = prop.name; + + // if a later context overrides this property, then the fact that this context has switched/diffed doesn't matter + // (semi expensive check since it makes this function O(n^2) on context length, but worth it since overall result + // is cached) + var laterCxtOverrides = false; + for (var k = i + 1; k < self.length; k++) { + var laterCxt = self[k]; + var hasLaterCxt = newCxtKey[k] === TRUE; + if (!hasLaterCxt) { + continue; + } // can't override unless the context is active + + laterCxtOverrides = laterCxt.properties[prop.name] != null; + if (laterCxtOverrides) { + break; + } // exit early as long as one later context overrides + } + + if (!addedProp[name] && !laterCxtOverrides) { + addedProp[name] = true; + diffProps.push(name); + } + } // for props + } // if + } // for contexts + + cache[dualCxtKey] = diffProps; + return diffProps; +}; +styfn$8.getContextMeta = function (ele) { + var self = this; + var cxtKey = ''; + var diffProps; + var prevKey = ele._private.styleCxtKey || ''; + + // get the cxt key + for (var i = 0; i < self.length; i++) { + var context = self[i]; + var contextSelectorMatches = context.selector && context.selector.matches(ele); // NB: context.selector may be null for 'core' + + if (contextSelectorMatches) { + cxtKey += TRUE; + } else { + cxtKey += FALSE; + } + } // for context + + diffProps = self.getPropertiesDiff(prevKey, cxtKey); + ele._private.styleCxtKey = cxtKey; + return { + key: cxtKey, + diffPropNames: diffProps, + empty: diffProps.length === 0 + }; +}; + +// gets a computed ele style object based on matched contexts +styfn$8.getContextStyle = function (cxtMeta) { + var cxtKey = cxtMeta.key; + var self = this; + var cxtStyles = this._private.contextStyles = this._private.contextStyles || {}; + + // if already computed style, returned cached copy + if (cxtStyles[cxtKey]) { + return cxtStyles[cxtKey]; + } + var style = { + _private: { + key: cxtKey + } + }; + for (var i = 0; i < self.length; i++) { + var cxt = self[i]; + var hasCxt = cxtKey[i] === TRUE; + if (!hasCxt) { + continue; + } + for (var j = 0; j < cxt.properties.length; j++) { + var prop = cxt.properties[j]; + style[prop.name] = prop; + } + } + cxtStyles[cxtKey] = style; + return style; +}; +styfn$8.applyContextStyle = function (cxtMeta, cxtStyle, ele) { + var self = this; + var diffProps = cxtMeta.diffPropNames; + var retDiffProps = {}; + var types = self.types; + for (var i = 0; i < diffProps.length; i++) { + var diffPropName = diffProps[i]; + var cxtProp = cxtStyle[diffPropName]; + var eleProp = ele.pstyle(diffPropName); + if (!cxtProp) { + // no context prop means delete + if (!eleProp) { + continue; // no existing prop means nothing needs to be removed + // nb affects initial application on mapped values like control-point-distances + } else if (eleProp.bypass) { + cxtProp = { + name: diffPropName, + deleteBypassed: true + }; + } else { + cxtProp = { + name: diffPropName, + "delete": true + }; + } + } + + // save cycles when the context prop doesn't need to be applied + if (eleProp === cxtProp) { + continue; + } + + // save cycles when a mapped context prop doesn't need to be applied + if (cxtProp.mapped === types.fn // context prop is function mapper + && eleProp != null // some props can be null even by default (e.g. a prop that overrides another one) + && eleProp.mapping != null // ele prop is a concrete value from from a mapper + && eleProp.mapping.value === cxtProp.value // the current prop on the ele is a flat prop value for the function mapper + ) { + // NB don't write to cxtProp, as it's shared among eles (stored in stylesheet) + var mapping = eleProp.mapping; // can write to mapping, as it's a per-ele copy + var fnValue = mapping.fnValue = cxtProp.value(ele); // temporarily cache the value in case of a miss + + if (fnValue === mapping.prevFnValue) { + continue; + } + } + var retDiffProp = retDiffProps[diffPropName] = { + prev: eleProp + }; + self.applyParsedProperty(ele, cxtProp); + retDiffProp.next = ele.pstyle(diffPropName); + if (retDiffProp.next && retDiffProp.next.bypass) { + retDiffProp.next = retDiffProp.next.bypassed; + } + } + return { + diffProps: retDiffProps + }; +}; +styfn$8.updateStyleHints = function (ele) { + var _p = ele._private; + var self = this; + var propNames = self.propertyGroupNames; + var propGrKeys = self.propertyGroupKeys; + var propHash = function propHash(ele, propNames, seedKey) { + return self.getPropertiesHash(ele, propNames, seedKey); + }; + var oldStyleKey = _p.styleKey; + if (ele.removed()) { + return false; + } + var isNode = _p.group === 'nodes'; + + // get the style key hashes per prop group + // but lazily -- only use non-default prop values to reduce the number of hashes + // + + var overriddenStyles = ele._private.style; + propNames = Object.keys(overriddenStyles); + for (var i = 0; i < propGrKeys.length; i++) { + var grKey = propGrKeys[i]; + _p.styleKeys[grKey] = [DEFAULT_HASH_SEED, DEFAULT_HASH_SEED_ALT]; + } + var updateGrKey1 = function updateGrKey1(val, grKey) { + return _p.styleKeys[grKey][0] = hashInt(val, _p.styleKeys[grKey][0]); + }; + var updateGrKey2 = function updateGrKey2(val, grKey) { + return _p.styleKeys[grKey][1] = hashIntAlt(val, _p.styleKeys[grKey][1]); + }; + var updateGrKey = function updateGrKey(val, grKey) { + updateGrKey1(val, grKey); + updateGrKey2(val, grKey); + }; + var updateGrKeyWStr = function updateGrKeyWStr(strVal, grKey) { + for (var j = 0; j < strVal.length; j++) { + var ch = strVal.charCodeAt(j); + updateGrKey1(ch, grKey); + updateGrKey2(ch, grKey); + } + }; + + // - hashing works on 32 bit ints b/c we use bitwise ops + // - small numbers get cut off (e.g. 0.123 is seen as 0 by the hashing function) + // - raise up small numbers so more significant digits are seen by hashing + // - make small numbers larger than a normal value to avoid collisions + // - works in practice and it's relatively cheap + var N = 2000000000; + var cleanNum = function cleanNum(val) { + return -128 < val && val < 128 && Math.floor(val) !== val ? N - (val * 1024 | 0) : val; + }; + for (var _i = 0; _i < propNames.length; _i++) { + var name = propNames[_i]; + var parsedProp = overriddenStyles[name]; + if (parsedProp == null) { + continue; + } + var propInfo = this.properties[name]; + var type = propInfo.type; + var _grKey = propInfo.groupKey; + var normalizedNumberVal = void 0; + if (propInfo.hashOverride != null) { + normalizedNumberVal = propInfo.hashOverride(ele, parsedProp); + } else if (parsedProp.pfValue != null) { + normalizedNumberVal = parsedProp.pfValue; + } + + // might not be a number if it allows enums + var numberVal = propInfo.enums == null ? parsedProp.value : null; + var haveNormNum = normalizedNumberVal != null; + var haveUnitedNum = numberVal != null; + var haveNum = haveNormNum || haveUnitedNum; + var units = parsedProp.units; + + // numbers are cheaper to hash than strings + // 1 hash op vs n hash ops (for length n string) + if (type.number && haveNum && !type.multiple) { + var v = haveNormNum ? normalizedNumberVal : numberVal; + updateGrKey(cleanNum(v), _grKey); + if (!haveNormNum && units != null) { + updateGrKeyWStr(units, _grKey); + } + } else { + updateGrKeyWStr(parsedProp.strValue, _grKey); + } + } + + // overall style key + // + + var hash = [DEFAULT_HASH_SEED, DEFAULT_HASH_SEED_ALT]; + for (var _i2 = 0; _i2 < propGrKeys.length; _i2++) { + var _grKey2 = propGrKeys[_i2]; + var grHash = _p.styleKeys[_grKey2]; + hash[0] = hashInt(grHash[0], hash[0]); + hash[1] = hashIntAlt(grHash[1], hash[1]); + } + _p.styleKey = combineHashes(hash[0], hash[1]); + + // label dims + // + + var sk = _p.styleKeys; + _p.labelDimsKey = combineHashesArray(sk.labelDimensions); + var labelKeys = propHash(ele, ['label'], sk.labelDimensions); + _p.labelKey = combineHashesArray(labelKeys); + _p.labelStyleKey = combineHashesArray(hashArrays(sk.commonLabel, labelKeys)); + if (!isNode) { + var sourceLabelKeys = propHash(ele, ['source-label'], sk.labelDimensions); + _p.sourceLabelKey = combineHashesArray(sourceLabelKeys); + _p.sourceLabelStyleKey = combineHashesArray(hashArrays(sk.commonLabel, sourceLabelKeys)); + var targetLabelKeys = propHash(ele, ['target-label'], sk.labelDimensions); + _p.targetLabelKey = combineHashesArray(targetLabelKeys); + _p.targetLabelStyleKey = combineHashesArray(hashArrays(sk.commonLabel, targetLabelKeys)); + } + + // node + // + + if (isNode) { + var _p$styleKeys = _p.styleKeys, + nodeBody = _p$styleKeys.nodeBody, + nodeBorder = _p$styleKeys.nodeBorder, + nodeOutline = _p$styleKeys.nodeOutline, + backgroundImage = _p$styleKeys.backgroundImage, + compound = _p$styleKeys.compound, + pie = _p$styleKeys.pie; + var nodeKeys = [nodeBody, nodeBorder, nodeOutline, backgroundImage, compound, pie].filter(function (k) { + return k != null; + }).reduce(hashArrays, [DEFAULT_HASH_SEED, DEFAULT_HASH_SEED_ALT]); + _p.nodeKey = combineHashesArray(nodeKeys); + _p.hasPie = pie != null && pie[0] !== DEFAULT_HASH_SEED && pie[1] !== DEFAULT_HASH_SEED_ALT; + } + return oldStyleKey !== _p.styleKey; +}; +styfn$8.clearStyleHints = function (ele) { + var _p = ele._private; + _p.styleCxtKey = ''; + _p.styleKeys = {}; + _p.styleKey = null; + _p.labelKey = null; + _p.labelStyleKey = null; + _p.sourceLabelKey = null; + _p.sourceLabelStyleKey = null; + _p.targetLabelKey = null; + _p.targetLabelStyleKey = null; + _p.nodeKey = null; + _p.hasPie = null; +}; + +// apply a property to the style (for internal use) +// returns whether application was successful +// +// now, this function flattens the property, and here's how: +// +// for parsedProp:{ bypass: true, deleteBypass: true } +// no property is generated, instead the bypass property in the +// element's style is replaced by what's pointed to by the `bypassed` +// field in the bypass property (i.e. restoring the property the +// bypass was overriding) +// +// for parsedProp:{ mapped: truthy } +// the generated flattenedProp:{ mapping: prop } +// +// for parsedProp:{ bypass: true } +// the generated flattenedProp:{ bypassed: parsedProp } +styfn$8.applyParsedProperty = function (ele, parsedProp) { + var self = this; + var prop = parsedProp; + var style = ele._private.style; + var flatProp; + var types = self.types; + var type = self.properties[prop.name].type; + var propIsBypass = prop.bypass; + var origProp = style[prop.name]; + var origPropIsBypass = origProp && origProp.bypass; + var _p = ele._private; + var flatPropMapping = 'mapping'; + var getVal = function getVal(p) { + if (p == null) { + return null; + } else if (p.pfValue != null) { + return p.pfValue; + } else { + return p.value; + } + }; + var checkTriggers = function checkTriggers() { + var fromVal = getVal(origProp); + var toVal = getVal(prop); + self.checkTriggers(ele, prop.name, fromVal, toVal); + }; + + // edge sanity checks to prevent the client from making serious mistakes + if (parsedProp.name === 'curve-style' && ele.isEdge() && ( + // loops must be bundled beziers + parsedProp.value !== 'bezier' && ele.isLoop() || + // edges connected to compound nodes can not be haystacks + parsedProp.value === 'haystack' && (ele.source().isParent() || ele.target().isParent()))) { + prop = parsedProp = this.parse(parsedProp.name, 'bezier', propIsBypass); + } + if (prop["delete"]) { + // delete the property and use the default value on falsey value + style[prop.name] = undefined; + checkTriggers(); + return true; + } + if (prop.deleteBypassed) { + // delete the property that the + if (!origProp) { + checkTriggers(); + return true; // can't delete if no prop + } else if (origProp.bypass) { + // delete bypassed + origProp.bypassed = undefined; + checkTriggers(); + return true; + } else { + return false; // we're unsuccessful deleting the bypassed + } + } + + // check if we need to delete the current bypass + if (prop.deleteBypass) { + // then this property is just here to indicate we need to delete + if (!origProp) { + checkTriggers(); + return true; // property is already not defined + } else if (origProp.bypass) { + // then replace the bypass property with the original + // because the bypassed property was already applied (and therefore parsed), we can just replace it (no reapplying necessary) + style[prop.name] = origProp.bypassed; + checkTriggers(); + return true; + } else { + return false; // we're unsuccessful deleting the bypass + } + } + + var printMappingErr = function printMappingErr() { + warn('Do not assign mappings to elements without corresponding data (i.e. ele `' + ele.id() + '` has no mapping for property `' + prop.name + '` with data field `' + prop.field + '`); try a `[' + prop.field + ']` selector to limit scope to elements with `' + prop.field + '` defined'); + }; + + // put the property in the style objects + switch (prop.mapped) { + // flatten the property if mapped + case types.mapData: + { + // flatten the field (e.g. data.foo.bar) + var fields = prop.field.split('.'); + var fieldVal = _p.data; + for (var i = 0; i < fields.length && fieldVal; i++) { + var field = fields[i]; + fieldVal = fieldVal[field]; + } + if (fieldVal == null) { + printMappingErr(); + return false; + } + var percent; + if (!number$1(fieldVal)) { + // then don't apply and fall back on the existing style + warn('Do not use continuous mappers without specifying numeric data (i.e. `' + prop.field + ': ' + fieldVal + '` for `' + ele.id() + '` is non-numeric)'); + return false; + } else { + var fieldWidth = prop.fieldMax - prop.fieldMin; + if (fieldWidth === 0) { + // safety check -- not strictly necessary as no props of zero range should be passed here + percent = 0; + } else { + percent = (fieldVal - prop.fieldMin) / fieldWidth; + } + } + + // make sure to bound percent value + if (percent < 0) { + percent = 0; + } else if (percent > 1) { + percent = 1; + } + if (type.color) { + var r1 = prop.valueMin[0]; + var r2 = prop.valueMax[0]; + var g1 = prop.valueMin[1]; + var g2 = prop.valueMax[1]; + var b1 = prop.valueMin[2]; + var b2 = prop.valueMax[2]; + var a1 = prop.valueMin[3] == null ? 1 : prop.valueMin[3]; + var a2 = prop.valueMax[3] == null ? 1 : prop.valueMax[3]; + var clr = [Math.round(r1 + (r2 - r1) * percent), Math.round(g1 + (g2 - g1) * percent), Math.round(b1 + (b2 - b1) * percent), Math.round(a1 + (a2 - a1) * percent)]; + flatProp = { + // colours are simple, so just create the flat property instead of expensive string parsing + bypass: prop.bypass, + // we're a bypass if the mapping property is a bypass + name: prop.name, + value: clr, + strValue: 'rgb(' + clr[0] + ', ' + clr[1] + ', ' + clr[2] + ')' + }; + } else if (type.number) { + var calcValue = prop.valueMin + (prop.valueMax - prop.valueMin) * percent; + flatProp = this.parse(prop.name, calcValue, prop.bypass, flatPropMapping); + } else { + return false; // can only map to colours and numbers + } + + if (!flatProp) { + // if we can't flatten the property, then don't apply the property and fall back on the existing style + printMappingErr(); + return false; + } + flatProp.mapping = prop; // keep a reference to the mapping + prop = flatProp; // the flattened (mapped) property is the one we want + + break; + } + + // direct mapping + case types.data: + { + // flatten the field (e.g. data.foo.bar) + var _fields = prop.field.split('.'); + var _fieldVal = _p.data; + for (var _i3 = 0; _i3 < _fields.length && _fieldVal; _i3++) { + var _field = _fields[_i3]; + _fieldVal = _fieldVal[_field]; + } + if (_fieldVal != null) { + flatProp = this.parse(prop.name, _fieldVal, prop.bypass, flatPropMapping); + } + if (!flatProp) { + // if we can't flatten the property, then don't apply and fall back on the existing style + printMappingErr(); + return false; + } + flatProp.mapping = prop; // keep a reference to the mapping + prop = flatProp; // the flattened (mapped) property is the one we want + + break; + } + case types.fn: + { + var fn = prop.value; + var fnRetVal = prop.fnValue != null ? prop.fnValue : fn(ele); // check for cached value before calling function + + prop.prevFnValue = fnRetVal; + if (fnRetVal == null) { + warn('Custom function mappers may not return null (i.e. `' + prop.name + '` for ele `' + ele.id() + '` is null)'); + return false; + } + flatProp = this.parse(prop.name, fnRetVal, prop.bypass, flatPropMapping); + if (!flatProp) { + warn('Custom function mappers may not return invalid values for the property type (i.e. `' + prop.name + '` for ele `' + ele.id() + '` is invalid)'); + return false; + } + flatProp.mapping = copy(prop); // keep a reference to the mapping + prop = flatProp; // the flattened (mapped) property is the one we want + + break; + } + case undefined: + break; + // just set the property + + default: + return false; + // not a valid mapping + } + + // if the property is a bypass property, then link the resultant property to the original one + if (propIsBypass) { + if (origPropIsBypass) { + // then this bypass overrides the existing one + prop.bypassed = origProp.bypassed; // steal bypassed prop from old bypass + } else { + // then link the orig prop to the new bypass + prop.bypassed = origProp; + } + style[prop.name] = prop; // and set + } else { + // prop is not bypass + if (origPropIsBypass) { + // then keep the orig prop (since it's a bypass) and link to the new prop + origProp.bypassed = prop; + } else { + // then just replace the old prop with the new one + style[prop.name] = prop; + } + } + checkTriggers(); + return true; +}; +styfn$8.cleanElements = function (eles, keepBypasses) { + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + this.clearStyleHints(ele); + ele.dirtyCompoundBoundsCache(); + ele.dirtyBoundingBoxCache(); + if (!keepBypasses) { + ele._private.style = {}; + } else { + var style = ele._private.style; + var propNames = Object.keys(style); + for (var j = 0; j < propNames.length; j++) { + var propName = propNames[j]; + var eleProp = style[propName]; + if (eleProp != null) { + if (eleProp.bypass) { + eleProp.bypassed = null; + } else { + style[propName] = null; + } + } + } + } + } +}; + +// updates the visual style for all elements (useful for manual style modification after init) +styfn$8.update = function () { + var cy = this._private.cy; + var eles = cy.mutableElements(); + eles.updateStyle(); +}; + +// diffProps : { name => { prev, next } } +styfn$8.updateTransitions = function (ele, diffProps) { + var self = this; + var _p = ele._private; + var props = ele.pstyle('transition-property').value; + var duration = ele.pstyle('transition-duration').pfValue; + var delay = ele.pstyle('transition-delay').pfValue; + if (props.length > 0 && duration > 0) { + var style = {}; + + // build up the style to animate towards + var anyPrev = false; + for (var i = 0; i < props.length; i++) { + var prop = props[i]; + var styProp = ele.pstyle(prop); + var diffProp = diffProps[prop]; + if (!diffProp) { + continue; + } + var prevProp = diffProp.prev; + var fromProp = prevProp; + var toProp = diffProp.next != null ? diffProp.next : styProp; + var diff = false; + var initVal = void 0; + var initDt = 0.000001; // delta time % value for initVal (allows animating out of init zero opacity) + + if (!fromProp) { + continue; + } + + // consider px values + if (number$1(fromProp.pfValue) && number$1(toProp.pfValue)) { + diff = toProp.pfValue - fromProp.pfValue; // nonzero is truthy + initVal = fromProp.pfValue + initDt * diff; + + // consider numerical values + } else if (number$1(fromProp.value) && number$1(toProp.value)) { + diff = toProp.value - fromProp.value; // nonzero is truthy + initVal = fromProp.value + initDt * diff; + + // consider colour values + } else if (array(fromProp.value) && array(toProp.value)) { + diff = fromProp.value[0] !== toProp.value[0] || fromProp.value[1] !== toProp.value[1] || fromProp.value[2] !== toProp.value[2]; + initVal = fromProp.strValue; + } + + // the previous value is good for an animation only if it's different + if (diff) { + style[prop] = toProp.strValue; // to val + this.applyBypass(ele, prop, initVal); // from val + anyPrev = true; + } + } // end if props allow ani + + // can't transition if there's nothing previous to transition from + if (!anyPrev) { + return; + } + _p.transitioning = true; + new Promise$1(function (resolve) { + if (delay > 0) { + ele.delayAnimation(delay).play().promise().then(resolve); + } else { + resolve(); + } + }).then(function () { + return ele.animation({ + style: style, + duration: duration, + easing: ele.pstyle('transition-timing-function').value, + queue: false + }).play().promise(); + }).then(function () { + // if( !isBypass ){ + self.removeBypasses(ele, props); + ele.emitAndNotify('style'); + // } + + _p.transitioning = false; + }); + } else if (_p.transitioning) { + this.removeBypasses(ele, props); + ele.emitAndNotify('style'); + _p.transitioning = false; + } +}; +styfn$8.checkTrigger = function (ele, name, fromValue, toValue, getTrigger, onTrigger) { + var prop = this.properties[name]; + var triggerCheck = getTrigger(prop); + if (triggerCheck != null && triggerCheck(fromValue, toValue)) { + onTrigger(prop); + } +}; +styfn$8.checkZOrderTrigger = function (ele, name, fromValue, toValue) { + var _this = this; + this.checkTrigger(ele, name, fromValue, toValue, function (prop) { + return prop.triggersZOrder; + }, function () { + _this._private.cy.notify('zorder', ele); + }); +}; +styfn$8.checkBoundsTrigger = function (ele, name, fromValue, toValue) { + this.checkTrigger(ele, name, fromValue, toValue, function (prop) { + return prop.triggersBounds; + }, function (prop) { + ele.dirtyCompoundBoundsCache(); + ele.dirtyBoundingBoxCache(); + + // if the prop change makes the bb of pll bezier edges invalid, + // then dirty the pll edge bb cache as well + if ( + // only for beziers -- so performance of other edges isn't affected + prop.triggersBoundsOfParallelBeziers && name === 'curve-style' && (fromValue === 'bezier' || toValue === 'bezier')) { + ele.parallelEdges().forEach(function (pllEdge) { + if (pllEdge.isBundledBezier()) { + pllEdge.dirtyBoundingBoxCache(); + } + }); + } + if (prop.triggersBoundsOfConnectedEdges && name === 'display' && (fromValue === 'none' || toValue === 'none')) { + ele.connectedEdges().forEach(function (edge) { + edge.dirtyBoundingBoxCache(); + }); + } + }); +}; +styfn$8.checkTriggers = function (ele, name, fromValue, toValue) { + ele.dirtyStyleCache(); + this.checkZOrderTrigger(ele, name, fromValue, toValue); + this.checkBoundsTrigger(ele, name, fromValue, toValue); +}; + +var styfn$7 = {}; + +// bypasses are applied to an existing style on an element, and just tacked on temporarily +// returns true iff application was successful for at least 1 specified property +styfn$7.applyBypass = function (eles, name, value, updateTransitions) { + var self = this; + var props = []; + var isBypass = true; + + // put all the properties (can specify one or many) in an array after parsing them + if (name === '*' || name === '**') { + // apply to all property names + + if (value !== undefined) { + for (var i = 0; i < self.properties.length; i++) { + var prop = self.properties[i]; + var _name = prop.name; + var parsedProp = this.parse(_name, value, true); + if (parsedProp) { + props.push(parsedProp); + } + } + } + } else if (string(name)) { + // then parse the single property + var _parsedProp = this.parse(name, value, true); + if (_parsedProp) { + props.push(_parsedProp); + } + } else if (plainObject(name)) { + // then parse each property + var specifiedProps = name; + updateTransitions = value; + var names = Object.keys(specifiedProps); + for (var _i = 0; _i < names.length; _i++) { + var _name2 = names[_i]; + var _value = specifiedProps[_name2]; + if (_value === undefined) { + // try camel case name too + _value = specifiedProps[dash2camel(_name2)]; + } + if (_value !== undefined) { + var _parsedProp2 = this.parse(_name2, _value, true); + if (_parsedProp2) { + props.push(_parsedProp2); + } + } + } + } else { + // can't do anything without well defined properties + return false; + } + + // we've failed if there are no valid properties + if (props.length === 0) { + return false; + } + + // now, apply the bypass properties on the elements + var ret = false; // return true if at least one succesful bypass applied + for (var _i2 = 0; _i2 < eles.length; _i2++) { + // for each ele + var ele = eles[_i2]; + var diffProps = {}; + var diffProp = void 0; + for (var j = 0; j < props.length; j++) { + // for each prop + var _prop = props[j]; + if (updateTransitions) { + var prevProp = ele.pstyle(_prop.name); + diffProp = diffProps[_prop.name] = { + prev: prevProp + }; + } + ret = this.applyParsedProperty(ele, copy(_prop)) || ret; + if (updateTransitions) { + diffProp.next = ele.pstyle(_prop.name); + } + } // for props + + if (ret) { + this.updateStyleHints(ele); + } + if (updateTransitions) { + this.updateTransitions(ele, diffProps, isBypass); + } + } // for eles + + return ret; +}; + +// only useful in specific cases like animation +styfn$7.overrideBypass = function (eles, name, value) { + name = camel2dash(name); + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var prop = ele._private.style[name]; + var type = this.properties[name].type; + var isColor = type.color; + var isMulti = type.mutiple; + var oldValue = !prop ? null : prop.pfValue != null ? prop.pfValue : prop.value; + if (!prop || !prop.bypass) { + // need a bypass if one doesn't exist + this.applyBypass(ele, name, value); + } else { + prop.value = value; + if (prop.pfValue != null) { + prop.pfValue = value; + } + if (isColor) { + prop.strValue = 'rgb(' + value.join(',') + ')'; + } else if (isMulti) { + prop.strValue = value.join(' '); + } else { + prop.strValue = '' + value; + } + this.updateStyleHints(ele); + } + this.checkTriggers(ele, name, oldValue, value); + } +}; +styfn$7.removeAllBypasses = function (eles, updateTransitions) { + return this.removeBypasses(eles, this.propertyNames, updateTransitions); +}; +styfn$7.removeBypasses = function (eles, props, updateTransitions) { + var isBypass = true; + for (var j = 0; j < eles.length; j++) { + var ele = eles[j]; + var diffProps = {}; + for (var i = 0; i < props.length; i++) { + var name = props[i]; + var prop = this.properties[name]; + var prevProp = ele.pstyle(prop.name); + if (!prevProp || !prevProp.bypass) { + // if a bypass doesn't exist for the prop, nothing needs to be removed + continue; + } + var value = ''; // empty => remove bypass + var parsedProp = this.parse(name, value, true); + var diffProp = diffProps[prop.name] = { + prev: prevProp + }; + this.applyParsedProperty(ele, parsedProp); + diffProp.next = ele.pstyle(prop.name); + } // for props + + this.updateStyleHints(ele); + if (updateTransitions) { + this.updateTransitions(ele, diffProps, isBypass); + } + } // for eles +}; + +var styfn$6 = {}; + +// gets what an em size corresponds to in pixels relative to a dom element +styfn$6.getEmSizeInPixels = function () { + var px = this.containerCss('font-size'); + if (px != null) { + return parseFloat(px); + } else { + return 1; // for headless + } +}; + +// gets css property from the core container +styfn$6.containerCss = function (propName) { + var cy = this._private.cy; + var domElement = cy.container(); + var containerWindow = cy.window(); + if (containerWindow && domElement && containerWindow.getComputedStyle) { + return containerWindow.getComputedStyle(domElement).getPropertyValue(propName); + } +}; + +var styfn$5 = {}; + +// gets the rendered style for an element +styfn$5.getRenderedStyle = function (ele, prop) { + if (prop) { + return this.getStylePropertyValue(ele, prop, true); + } else { + return this.getRawStyle(ele, true); + } +}; + +// gets the raw style for an element +styfn$5.getRawStyle = function (ele, isRenderedVal) { + var self = this; + ele = ele[0]; // insure it's an element + + if (ele) { + var rstyle = {}; + for (var i = 0; i < self.properties.length; i++) { + var prop = self.properties[i]; + var val = self.getStylePropertyValue(ele, prop.name, isRenderedVal); + if (val != null) { + rstyle[prop.name] = val; + rstyle[dash2camel(prop.name)] = val; + } + } + return rstyle; + } +}; +styfn$5.getIndexedStyle = function (ele, property, subproperty, index) { + var pstyle = ele.pstyle(property)[subproperty][index]; + return pstyle != null ? pstyle : ele.cy().style().getDefaultProperty(property)[subproperty][0]; +}; +styfn$5.getStylePropertyValue = function (ele, propName, isRenderedVal) { + var self = this; + ele = ele[0]; // insure it's an element + + if (ele) { + var prop = self.properties[propName]; + if (prop.alias) { + prop = prop.pointsTo; + } + var type = prop.type; + var styleProp = ele.pstyle(prop.name); + if (styleProp) { + var value = styleProp.value, + units = styleProp.units, + strValue = styleProp.strValue; + if (isRenderedVal && type.number && value != null && number$1(value)) { + var zoom = ele.cy().zoom(); + var getRenderedValue = function getRenderedValue(val) { + return val * zoom; + }; + var getValueStringWithUnits = function getValueStringWithUnits(val, units) { + return getRenderedValue(val) + units; + }; + var isArrayValue = array(value); + var haveUnits = isArrayValue ? units.every(function (u) { + return u != null; + }) : units != null; + if (haveUnits) { + if (isArrayValue) { + return value.map(function (v, i) { + return getValueStringWithUnits(v, units[i]); + }).join(' '); + } else { + return getValueStringWithUnits(value, units); + } + } else { + if (isArrayValue) { + return value.map(function (v) { + return string(v) ? v : '' + getRenderedValue(v); + }).join(' '); + } else { + return '' + getRenderedValue(value); + } + } + } else if (strValue != null) { + return strValue; + } + } + return null; + } +}; +styfn$5.getAnimationStartStyle = function (ele, aniProps) { + var rstyle = {}; + for (var i = 0; i < aniProps.length; i++) { + var aniProp = aniProps[i]; + var name = aniProp.name; + var styleProp = ele.pstyle(name); + if (styleProp !== undefined) { + // then make a prop of it + if (plainObject(styleProp)) { + styleProp = this.parse(name, styleProp.strValue); + } else { + styleProp = this.parse(name, styleProp); + } + } + if (styleProp) { + rstyle[name] = styleProp; + } + } + return rstyle; +}; +styfn$5.getPropsList = function (propsObj) { + var self = this; + var rstyle = []; + var style = propsObj; + var props = self.properties; + if (style) { + var names = Object.keys(style); + for (var i = 0; i < names.length; i++) { + var name = names[i]; + var val = style[name]; + var prop = props[name] || props[camel2dash(name)]; + var styleProp = this.parse(prop.name, val); + if (styleProp) { + rstyle.push(styleProp); + } + } + } + return rstyle; +}; +styfn$5.getNonDefaultPropertiesHash = function (ele, propNames, seed) { + var hash = seed.slice(); + var name, val, strVal, chVal; + var i, j; + for (i = 0; i < propNames.length; i++) { + name = propNames[i]; + val = ele.pstyle(name, false); + if (val == null) { + continue; + } else if (val.pfValue != null) { + hash[0] = hashInt(chVal, hash[0]); + hash[1] = hashIntAlt(chVal, hash[1]); + } else { + strVal = val.strValue; + for (j = 0; j < strVal.length; j++) { + chVal = strVal.charCodeAt(j); + hash[0] = hashInt(chVal, hash[0]); + hash[1] = hashIntAlt(chVal, hash[1]); + } + } + } + return hash; +}; +styfn$5.getPropertiesHash = styfn$5.getNonDefaultPropertiesHash; + +var styfn$4 = {}; +styfn$4.appendFromJson = function (json) { + var style = this; + for (var i = 0; i < json.length; i++) { + var context = json[i]; + var selector = context.selector; + var props = context.style || context.css; + var names = Object.keys(props); + style.selector(selector); // apply selector + + for (var j = 0; j < names.length; j++) { + var name = names[j]; + var value = props[name]; + style.css(name, value); // apply property + } + } + + return style; +}; + +// accessible cy.style() function +styfn$4.fromJson = function (json) { + var style = this; + style.resetToDefault(); + style.appendFromJson(json); + return style; +}; + +// get json from cy.style() api +styfn$4.json = function () { + var json = []; + for (var i = this.defaultLength; i < this.length; i++) { + var cxt = this[i]; + var selector = cxt.selector; + var props = cxt.properties; + var css = {}; + for (var j = 0; j < props.length; j++) { + var prop = props[j]; + css[prop.name] = prop.strValue; + } + json.push({ + selector: !selector ? 'core' : selector.toString(), + style: css + }); + } + return json; +}; + +var styfn$3 = {}; +styfn$3.appendFromString = function (string) { + var self = this; + var style = this; + var remaining = '' + string; + var selAndBlockStr; + var blockRem; + var propAndValStr; + + // remove comments from the style string + remaining = remaining.replace(/[/][*](\s|.)+?[*][/]/g, ''); + function removeSelAndBlockFromRemaining() { + // remove the parsed selector and block from the remaining text to parse + if (remaining.length > selAndBlockStr.length) { + remaining = remaining.substr(selAndBlockStr.length); + } else { + remaining = ''; + } + } + function removePropAndValFromRem() { + // remove the parsed property and value from the remaining block text to parse + if (blockRem.length > propAndValStr.length) { + blockRem = blockRem.substr(propAndValStr.length); + } else { + blockRem = ''; + } + } + for (;;) { + var nothingLeftToParse = remaining.match(/^\s*$/); + if (nothingLeftToParse) { + break; + } + var selAndBlock = remaining.match(/^\s*((?:.|\s)+?)\s*\{((?:.|\s)+?)\}/); + if (!selAndBlock) { + warn('Halting stylesheet parsing: String stylesheet contains more to parse but no selector and block found in: ' + remaining); + break; + } + selAndBlockStr = selAndBlock[0]; + + // parse the selector + var selectorStr = selAndBlock[1]; + if (selectorStr !== 'core') { + var selector = new Selector(selectorStr); + if (selector.invalid) { + warn('Skipping parsing of block: Invalid selector found in string stylesheet: ' + selectorStr); + + // skip this selector and block + removeSelAndBlockFromRemaining(); + continue; + } + } + + // parse the block of properties and values + var blockStr = selAndBlock[2]; + var invalidBlock = false; + blockRem = blockStr; + var props = []; + for (;;) { + var _nothingLeftToParse = blockRem.match(/^\s*$/); + if (_nothingLeftToParse) { + break; + } + var propAndVal = blockRem.match(/^\s*(.+?)\s*:\s*(.+?)(?:\s*;|\s*$)/); + if (!propAndVal) { + warn('Skipping parsing of block: Invalid formatting of style property and value definitions found in:' + blockStr); + invalidBlock = true; + break; + } + propAndValStr = propAndVal[0]; + var propStr = propAndVal[1]; + var valStr = propAndVal[2]; + var prop = self.properties[propStr]; + if (!prop) { + warn('Skipping property: Invalid property name in: ' + propAndValStr); + + // skip this property in the block + removePropAndValFromRem(); + continue; + } + var parsedProp = style.parse(propStr, valStr); + if (!parsedProp) { + warn('Skipping property: Invalid property definition in: ' + propAndValStr); + + // skip this property in the block + removePropAndValFromRem(); + continue; + } + props.push({ + name: propStr, + val: valStr + }); + removePropAndValFromRem(); + } + if (invalidBlock) { + removeSelAndBlockFromRemaining(); + break; + } + + // put the parsed block in the style + style.selector(selectorStr); + for (var i = 0; i < props.length; i++) { + var _prop = props[i]; + style.css(_prop.name, _prop.val); + } + removeSelAndBlockFromRemaining(); + } + return style; +}; +styfn$3.fromString = function (string) { + var style = this; + style.resetToDefault(); + style.appendFromString(string); + return style; +}; + +var styfn$2 = {}; +(function () { + var number$1 = number; + var rgba = rgbaNoBackRefs; + var hsla = hslaNoBackRefs; + var hex3$1 = hex3; + var hex6$1 = hex6; + var data = function data(prefix) { + return '^' + prefix + '\\s*\\(\\s*([\\w\\.]+)\\s*\\)$'; + }; + var mapData = function mapData(prefix) { + var mapArg = number$1 + '|\\w+|' + rgba + '|' + hsla + '|' + hex3$1 + '|' + hex6$1; + return '^' + prefix + '\\s*\\(([\\w\\.]+)\\s*\\,\\s*(' + number$1 + ')\\s*\\,\\s*(' + number$1 + ')\\s*,\\s*(' + mapArg + ')\\s*\\,\\s*(' + mapArg + ')\\)$'; + }; + var urlRegexes = ['^url\\s*\\(\\s*[\'"]?(.+?)[\'"]?\\s*\\)$', '^(none)$', '^(.+)$']; + + // each visual style property has a type and needs to be validated according to it + styfn$2.types = { + time: { + number: true, + min: 0, + units: 's|ms', + implicitUnits: 'ms' + }, + percent: { + number: true, + min: 0, + max: 100, + units: '%', + implicitUnits: '%' + }, + percentages: { + number: true, + min: 0, + max: 100, + units: '%', + implicitUnits: '%', + multiple: true + }, + zeroOneNumber: { + number: true, + min: 0, + max: 1, + unitless: true + }, + zeroOneNumbers: { + number: true, + min: 0, + max: 1, + unitless: true, + multiple: true + }, + nOneOneNumber: { + number: true, + min: -1, + max: 1, + unitless: true + }, + nonNegativeInt: { + number: true, + min: 0, + integer: true, + unitless: true + }, + nonNegativeNumber: { + number: true, + min: 0, + unitless: true + }, + position: { + enums: ['parent', 'origin'] + }, + nodeSize: { + number: true, + min: 0, + enums: ['label'] + }, + number: { + number: true, + unitless: true + }, + numbers: { + number: true, + unitless: true, + multiple: true + }, + positiveNumber: { + number: true, + unitless: true, + min: 0, + strictMin: true + }, + size: { + number: true, + min: 0 + }, + bidirectionalSize: { + number: true + }, + // allows negative + bidirectionalSizeMaybePercent: { + number: true, + allowPercent: true + }, + // allows negative + bidirectionalSizes: { + number: true, + multiple: true + }, + // allows negative + sizeMaybePercent: { + number: true, + min: 0, + allowPercent: true + }, + axisDirection: { + enums: ['horizontal', 'leftward', 'rightward', 'vertical', 'upward', 'downward', 'auto'] + }, + paddingRelativeTo: { + enums: ['width', 'height', 'average', 'min', 'max'] + }, + bgWH: { + number: true, + min: 0, + allowPercent: true, + enums: ['auto'], + multiple: true + }, + bgPos: { + number: true, + allowPercent: true, + multiple: true + }, + bgRelativeTo: { + enums: ['inner', 'include-padding'], + multiple: true + }, + bgRepeat: { + enums: ['repeat', 'repeat-x', 'repeat-y', 'no-repeat'], + multiple: true + }, + bgFit: { + enums: ['none', 'contain', 'cover'], + multiple: true + }, + bgCrossOrigin: { + enums: ['anonymous', 'use-credentials', 'null'], + multiple: true + }, + bgClip: { + enums: ['none', 'node'], + multiple: true + }, + bgContainment: { + enums: ['inside', 'over'], + multiple: true + }, + color: { + color: true + }, + colors: { + color: true, + multiple: true + }, + fill: { + enums: ['solid', 'linear-gradient', 'radial-gradient'] + }, + bool: { + enums: ['yes', 'no'] + }, + bools: { + enums: ['yes', 'no'], + multiple: true + }, + lineStyle: { + enums: ['solid', 'dotted', 'dashed'] + }, + lineCap: { + enums: ['butt', 'round', 'square'] + }, + borderStyle: { + enums: ['solid', 'dotted', 'dashed', 'double'] + }, + curveStyle: { + enums: ['bezier', 'unbundled-bezier', 'haystack', 'segments', 'straight', 'straight-triangle', 'taxi'] + }, + fontFamily: { + regex: '^([\\w- \\"]+(?:\\s*,\\s*[\\w- \\"]+)*)$' + }, + fontStyle: { + enums: ['italic', 'normal', 'oblique'] + }, + fontWeight: { + enums: ['normal', 'bold', 'bolder', 'lighter', '100', '200', '300', '400', '500', '600', '800', '900', 100, 200, 300, 400, 500, 600, 700, 800, 900] + }, + textDecoration: { + enums: ['none', 'underline', 'overline', 'line-through'] + }, + textTransform: { + enums: ['none', 'uppercase', 'lowercase'] + }, + textWrap: { + enums: ['none', 'wrap', 'ellipsis'] + }, + textOverflowWrap: { + enums: ['whitespace', 'anywhere'] + }, + textBackgroundShape: { + enums: ['rectangle', 'roundrectangle', 'round-rectangle'] + }, + nodeShape: { + enums: ['rectangle', 'roundrectangle', 'round-rectangle', 'cutrectangle', 'cut-rectangle', 'bottomroundrectangle', 'bottom-round-rectangle', 'barrel', 'ellipse', 'triangle', 'round-triangle', 'square', 'pentagon', 'round-pentagon', 'hexagon', 'round-hexagon', 'concavehexagon', 'concave-hexagon', 'heptagon', 'round-heptagon', 'octagon', 'round-octagon', 'tag', 'round-tag', 'star', 'diamond', 'round-diamond', 'vee', 'rhomboid', 'right-rhomboid', 'polygon'] + }, + overlayShape: { + enums: ['roundrectangle', 'round-rectangle', 'ellipse'] + }, + compoundIncludeLabels: { + enums: ['include', 'exclude'] + }, + arrowShape: { + enums: ['tee', 'triangle', 'triangle-tee', 'circle-triangle', 'triangle-cross', 'triangle-backcurve', 'vee', 'square', 'circle', 'diamond', 'chevron', 'none'] + }, + arrowFill: { + enums: ['filled', 'hollow'] + }, + arrowWidth: { + number: true, + units: '%|px|em', + implicitUnits: 'px', + enums: ['match-line'] + }, + display: { + enums: ['element', 'none'] + }, + visibility: { + enums: ['hidden', 'visible'] + }, + zCompoundDepth: { + enums: ['bottom', 'orphan', 'auto', 'top'] + }, + zIndexCompare: { + enums: ['auto', 'manual'] + }, + valign: { + enums: ['top', 'center', 'bottom'] + }, + halign: { + enums: ['left', 'center', 'right'] + }, + justification: { + enums: ['left', 'center', 'right', 'auto'] + }, + text: { + string: true + }, + data: { + mapping: true, + regex: data('data') + }, + layoutData: { + mapping: true, + regex: data('layoutData') + }, + scratch: { + mapping: true, + regex: data('scratch') + }, + mapData: { + mapping: true, + regex: mapData('mapData') + }, + mapLayoutData: { + mapping: true, + regex: mapData('mapLayoutData') + }, + mapScratch: { + mapping: true, + regex: mapData('mapScratch') + }, + fn: { + mapping: true, + fn: true + }, + url: { + regexes: urlRegexes, + singleRegexMatchValue: true + }, + urls: { + regexes: urlRegexes, + singleRegexMatchValue: true, + multiple: true + }, + propList: { + propList: true + }, + angle: { + number: true, + units: 'deg|rad', + implicitUnits: 'rad' + }, + textRotation: { + number: true, + units: 'deg|rad', + implicitUnits: 'rad', + enums: ['none', 'autorotate'] + }, + polygonPointList: { + number: true, + multiple: true, + evenMultiple: true, + min: -1, + max: 1, + unitless: true + }, + edgeDistances: { + enums: ['intersection', 'node-position', 'endpoints'] + }, + edgeEndpoint: { + number: true, + multiple: true, + units: '%|px|em|deg|rad', + implicitUnits: 'px', + enums: ['inside-to-node', 'outside-to-node', 'outside-to-node-or-label', 'outside-to-line', 'outside-to-line-or-label'], + singleEnum: true, + validate: function validate(valArr, unitsArr) { + switch (valArr.length) { + case 2: + // can be % or px only + return unitsArr[0] !== 'deg' && unitsArr[0] !== 'rad' && unitsArr[1] !== 'deg' && unitsArr[1] !== 'rad'; + case 1: + // can be enum, deg, or rad only + return string(valArr[0]) || unitsArr[0] === 'deg' || unitsArr[0] === 'rad'; + default: + return false; + } + } + }, + easing: { + regexes: ['^(spring)\\s*\\(\\s*(' + number$1 + ')\\s*,\\s*(' + number$1 + ')\\s*\\)$', '^(cubic-bezier)\\s*\\(\\s*(' + number$1 + ')\\s*,\\s*(' + number$1 + ')\\s*,\\s*(' + number$1 + ')\\s*,\\s*(' + number$1 + ')\\s*\\)$'], + enums: ['linear', 'ease', 'ease-in', 'ease-out', 'ease-in-out', 'ease-in-sine', 'ease-out-sine', 'ease-in-out-sine', 'ease-in-quad', 'ease-out-quad', 'ease-in-out-quad', 'ease-in-cubic', 'ease-out-cubic', 'ease-in-out-cubic', 'ease-in-quart', 'ease-out-quart', 'ease-in-out-quart', 'ease-in-quint', 'ease-out-quint', 'ease-in-out-quint', 'ease-in-expo', 'ease-out-expo', 'ease-in-out-expo', 'ease-in-circ', 'ease-out-circ', 'ease-in-out-circ'] + }, + gradientDirection: { + enums: ['to-bottom', 'to-top', 'to-left', 'to-right', 'to-bottom-right', 'to-bottom-left', 'to-top-right', 'to-top-left', 'to-right-bottom', 'to-left-bottom', 'to-right-top', 'to-left-top' // different order + ] + }, + + boundsExpansion: { + number: true, + multiple: true, + min: 0, + validate: function validate(valArr) { + var length = valArr.length; + return length === 1 || length === 2 || length === 4; + } + } + }; + var diff = { + zeroNonZero: function zeroNonZero(val1, val2) { + if ((val1 == null || val2 == null) && val1 !== val2) { + return true; // null cases could represent any value + } + if (val1 == 0 && val2 != 0) { + return true; + } else if (val1 != 0 && val2 == 0) { + return true; + } else { + return false; + } + }, + any: function any(val1, val2) { + return val1 != val2; + }, + emptyNonEmpty: function emptyNonEmpty(str1, str2) { + var empty1 = emptyString(str1); + var empty2 = emptyString(str2); + return empty1 && !empty2 || !empty1 && empty2; + } + }; + + // define visual style properties + // + // - n.b. adding a new group of props may require updates to updateStyleHints() + // - adding new props to an existing group gets handled automatically + + var t = styfn$2.types; + var mainLabel = [{ + name: 'label', + type: t.text, + triggersBounds: diff.any, + triggersZOrder: diff.emptyNonEmpty + }, { + name: 'text-rotation', + type: t.textRotation, + triggersBounds: diff.any + }, { + name: 'text-margin-x', + type: t.bidirectionalSize, + triggersBounds: diff.any + }, { + name: 'text-margin-y', + type: t.bidirectionalSize, + triggersBounds: diff.any + }]; + var sourceLabel = [{ + name: 'source-label', + type: t.text, + triggersBounds: diff.any + }, { + name: 'source-text-rotation', + type: t.textRotation, + triggersBounds: diff.any + }, { + name: 'source-text-margin-x', + type: t.bidirectionalSize, + triggersBounds: diff.any + }, { + name: 'source-text-margin-y', + type: t.bidirectionalSize, + triggersBounds: diff.any + }, { + name: 'source-text-offset', + type: t.size, + triggersBounds: diff.any + }]; + var targetLabel = [{ + name: 'target-label', + type: t.text, + triggersBounds: diff.any + }, { + name: 'target-text-rotation', + type: t.textRotation, + triggersBounds: diff.any + }, { + name: 'target-text-margin-x', + type: t.bidirectionalSize, + triggersBounds: diff.any + }, { + name: 'target-text-margin-y', + type: t.bidirectionalSize, + triggersBounds: diff.any + }, { + name: 'target-text-offset', + type: t.size, + triggersBounds: diff.any + }]; + var labelDimensions = [{ + name: 'font-family', + type: t.fontFamily, + triggersBounds: diff.any + }, { + name: 'font-style', + type: t.fontStyle, + triggersBounds: diff.any + }, { + name: 'font-weight', + type: t.fontWeight, + triggersBounds: diff.any + }, { + name: 'font-size', + type: t.size, + triggersBounds: diff.any + }, { + name: 'text-transform', + type: t.textTransform, + triggersBounds: diff.any + }, { + name: 'text-wrap', + type: t.textWrap, + triggersBounds: diff.any + }, { + name: 'text-overflow-wrap', + type: t.textOverflowWrap, + triggersBounds: diff.any + }, { + name: 'text-max-width', + type: t.size, + triggersBounds: diff.any + }, { + name: 'text-outline-width', + type: t.size, + triggersBounds: diff.any + }, { + name: 'line-height', + type: t.positiveNumber, + triggersBounds: diff.any + }]; + var commonLabel = [{ + name: 'text-valign', + type: t.valign, + triggersBounds: diff.any + }, { + name: 'text-halign', + type: t.halign, + triggersBounds: diff.any + }, { + name: 'color', + type: t.color + }, { + name: 'text-outline-color', + type: t.color + }, { + name: 'text-outline-opacity', + type: t.zeroOneNumber + }, { + name: 'text-background-color', + type: t.color + }, { + name: 'text-background-opacity', + type: t.zeroOneNumber + }, { + name: 'text-background-padding', + type: t.size, + triggersBounds: diff.any + }, { + name: 'text-border-opacity', + type: t.zeroOneNumber + }, { + name: 'text-border-color', + type: t.color + }, { + name: 'text-border-width', + type: t.size, + triggersBounds: diff.any + }, { + name: 'text-border-style', + type: t.borderStyle, + triggersBounds: diff.any + }, { + name: 'text-background-shape', + type: t.textBackgroundShape, + triggersBounds: diff.any + }, { + name: 'text-justification', + type: t.justification + }]; + var behavior = [{ + name: 'events', + type: t.bool, + triggersZOrder: diff.any + }, { + name: 'text-events', + type: t.bool, + triggersZOrder: diff.any + }]; + var visibility = [{ + name: 'display', + type: t.display, + triggersZOrder: diff.any, + triggersBounds: diff.any, + triggersBoundsOfConnectedEdges: true + }, { + name: 'visibility', + type: t.visibility, + triggersZOrder: diff.any + }, { + name: 'opacity', + type: t.zeroOneNumber, + triggersZOrder: diff.zeroNonZero + }, { + name: 'text-opacity', + type: t.zeroOneNumber + }, { + name: 'min-zoomed-font-size', + type: t.size + }, { + name: 'z-compound-depth', + type: t.zCompoundDepth, + triggersZOrder: diff.any + }, { + name: 'z-index-compare', + type: t.zIndexCompare, + triggersZOrder: diff.any + }, { + name: 'z-index', + type: t.number, + triggersZOrder: diff.any + }]; + var overlay = [{ + name: 'overlay-padding', + type: t.size, + triggersBounds: diff.any + }, { + name: 'overlay-color', + type: t.color + }, { + name: 'overlay-opacity', + type: t.zeroOneNumber, + triggersBounds: diff.zeroNonZero + }, { + name: 'overlay-shape', + type: t.overlayShape, + triggersBounds: diff.any + }]; + var underlay = [{ + name: 'underlay-padding', + type: t.size, + triggersBounds: diff.any + }, { + name: 'underlay-color', + type: t.color + }, { + name: 'underlay-opacity', + type: t.zeroOneNumber, + triggersBounds: diff.zeroNonZero + }, { + name: 'underlay-shape', + type: t.overlayShape, + triggersBounds: diff.any + }]; + var transition = [{ + name: 'transition-property', + type: t.propList + }, { + name: 'transition-duration', + type: t.time + }, { + name: 'transition-delay', + type: t.time + }, { + name: 'transition-timing-function', + type: t.easing + }]; + var nodeSizeHashOverride = function nodeSizeHashOverride(ele, parsedProp) { + if (parsedProp.value === 'label') { + return -ele.poolIndex(); // no hash key hits is using label size (hitrate for perf probably low anyway) + } else { + return parsedProp.pfValue; + } + }; + var nodeBody = [{ + name: 'height', + type: t.nodeSize, + triggersBounds: diff.any, + hashOverride: nodeSizeHashOverride + }, { + name: 'width', + type: t.nodeSize, + triggersBounds: diff.any, + hashOverride: nodeSizeHashOverride + }, { + name: 'shape', + type: t.nodeShape, + triggersBounds: diff.any + }, { + name: 'shape-polygon-points', + type: t.polygonPointList, + triggersBounds: diff.any + }, { + name: 'background-color', + type: t.color + }, { + name: 'background-fill', + type: t.fill + }, { + name: 'background-opacity', + type: t.zeroOneNumber + }, { + name: 'background-blacken', + type: t.nOneOneNumber + }, { + name: 'background-gradient-stop-colors', + type: t.colors + }, { + name: 'background-gradient-stop-positions', + type: t.percentages + }, { + name: 'background-gradient-direction', + type: t.gradientDirection + }, { + name: 'padding', + type: t.sizeMaybePercent, + triggersBounds: diff.any + }, { + name: 'padding-relative-to', + type: t.paddingRelativeTo, + triggersBounds: diff.any + }, { + name: 'bounds-expansion', + type: t.boundsExpansion, + triggersBounds: diff.any + }]; + var nodeBorder = [{ + name: 'border-color', + type: t.color + }, { + name: 'border-opacity', + type: t.zeroOneNumber + }, { + name: 'border-width', + type: t.size, + triggersBounds: diff.any + }, { + name: 'border-style', + type: t.borderStyle + }]; + var nodeOutline = [{ + name: 'outline-color', + type: t.color + }, { + name: 'outline-opacity', + type: t.zeroOneNumber + }, { + name: 'outline-width', + type: t.size, + triggersBounds: diff.any + }, { + name: 'outline-style', + type: t.borderStyle + }, { + name: 'outline-offset', + type: t.size, + triggersBounds: diff.any + }]; + var backgroundImage = [{ + name: 'background-image', + type: t.urls + }, { + name: 'background-image-crossorigin', + type: t.bgCrossOrigin + }, { + name: 'background-image-opacity', + type: t.zeroOneNumbers + }, { + name: 'background-image-containment', + type: t.bgContainment + }, { + name: 'background-image-smoothing', + type: t.bools + }, { + name: 'background-position-x', + type: t.bgPos + }, { + name: 'background-position-y', + type: t.bgPos + }, { + name: 'background-width-relative-to', + type: t.bgRelativeTo + }, { + name: 'background-height-relative-to', + type: t.bgRelativeTo + }, { + name: 'background-repeat', + type: t.bgRepeat + }, { + name: 'background-fit', + type: t.bgFit + }, { + name: 'background-clip', + type: t.bgClip + }, { + name: 'background-width', + type: t.bgWH + }, { + name: 'background-height', + type: t.bgWH + }, { + name: 'background-offset-x', + type: t.bgPos + }, { + name: 'background-offset-y', + type: t.bgPos + }]; + var compound = [{ + name: 'position', + type: t.position, + triggersBounds: diff.any + }, { + name: 'compound-sizing-wrt-labels', + type: t.compoundIncludeLabels, + triggersBounds: diff.any + }, { + name: 'min-width', + type: t.size, + triggersBounds: diff.any + }, { + name: 'min-width-bias-left', + type: t.sizeMaybePercent, + triggersBounds: diff.any + }, { + name: 'min-width-bias-right', + type: t.sizeMaybePercent, + triggersBounds: diff.any + }, { + name: 'min-height', + type: t.size, + triggersBounds: diff.any + }, { + name: 'min-height-bias-top', + type: t.sizeMaybePercent, + triggersBounds: diff.any + }, { + name: 'min-height-bias-bottom', + type: t.sizeMaybePercent, + triggersBounds: diff.any + }]; + var edgeLine = [{ + name: 'line-style', + type: t.lineStyle + }, { + name: 'line-color', + type: t.color + }, { + name: 'line-fill', + type: t.fill + }, { + name: 'line-cap', + type: t.lineCap + }, { + name: 'line-opacity', + type: t.zeroOneNumber + }, { + name: 'line-dash-pattern', + type: t.numbers + }, { + name: 'line-dash-offset', + type: t.number + }, { + name: 'line-gradient-stop-colors', + type: t.colors + }, { + name: 'line-gradient-stop-positions', + type: t.percentages + }, { + name: 'curve-style', + type: t.curveStyle, + triggersBounds: diff.any, + triggersBoundsOfParallelBeziers: true + }, { + name: 'haystack-radius', + type: t.zeroOneNumber, + triggersBounds: diff.any + }, { + name: 'source-endpoint', + type: t.edgeEndpoint, + triggersBounds: diff.any + }, { + name: 'target-endpoint', + type: t.edgeEndpoint, + triggersBounds: diff.any + }, { + name: 'control-point-step-size', + type: t.size, + triggersBounds: diff.any + }, { + name: 'control-point-distances', + type: t.bidirectionalSizes, + triggersBounds: diff.any + }, { + name: 'control-point-weights', + type: t.numbers, + triggersBounds: diff.any + }, { + name: 'segment-distances', + type: t.bidirectionalSizes, + triggersBounds: diff.any + }, { + name: 'segment-weights', + type: t.numbers, + triggersBounds: diff.any + }, { + name: 'taxi-turn', + type: t.bidirectionalSizeMaybePercent, + triggersBounds: diff.any + }, { + name: 'taxi-turn-min-distance', + type: t.size, + triggersBounds: diff.any + }, { + name: 'taxi-direction', + type: t.axisDirection, + triggersBounds: diff.any + }, { + name: 'edge-distances', + type: t.edgeDistances, + triggersBounds: diff.any + }, { + name: 'arrow-scale', + type: t.positiveNumber, + triggersBounds: diff.any + }, { + name: 'loop-direction', + type: t.angle, + triggersBounds: diff.any + }, { + name: 'loop-sweep', + type: t.angle, + triggersBounds: diff.any + }, { + name: 'source-distance-from-node', + type: t.size, + triggersBounds: diff.any + }, { + name: 'target-distance-from-node', + type: t.size, + triggersBounds: diff.any + }]; + var ghost = [{ + name: 'ghost', + type: t.bool, + triggersBounds: diff.any + }, { + name: 'ghost-offset-x', + type: t.bidirectionalSize, + triggersBounds: diff.any + }, { + name: 'ghost-offset-y', + type: t.bidirectionalSize, + triggersBounds: diff.any + }, { + name: 'ghost-opacity', + type: t.zeroOneNumber + }]; + var core = [{ + name: 'selection-box-color', + type: t.color + }, { + name: 'selection-box-opacity', + type: t.zeroOneNumber + }, { + name: 'selection-box-border-color', + type: t.color + }, { + name: 'selection-box-border-width', + type: t.size + }, { + name: 'active-bg-color', + type: t.color + }, { + name: 'active-bg-opacity', + type: t.zeroOneNumber + }, { + name: 'active-bg-size', + type: t.size + }, { + name: 'outside-texture-bg-color', + type: t.color + }, { + name: 'outside-texture-bg-opacity', + type: t.zeroOneNumber + }]; + + // pie backgrounds for nodes + var pie = []; + styfn$2.pieBackgroundN = 16; // because the pie properties are numbered, give access to a constant N (for renderer use) + pie.push({ + name: 'pie-size', + type: t.sizeMaybePercent + }); + for (var i = 1; i <= styfn$2.pieBackgroundN; i++) { + pie.push({ + name: 'pie-' + i + '-background-color', + type: t.color + }); + pie.push({ + name: 'pie-' + i + '-background-size', + type: t.percent + }); + pie.push({ + name: 'pie-' + i + '-background-opacity', + type: t.zeroOneNumber + }); + } + + // edge arrows + var edgeArrow = []; + var arrowPrefixes = styfn$2.arrowPrefixes = ['source', 'mid-source', 'target', 'mid-target']; + [{ + name: 'arrow-shape', + type: t.arrowShape, + triggersBounds: diff.any + }, { + name: 'arrow-color', + type: t.color + }, { + name: 'arrow-fill', + type: t.arrowFill + }, { + name: 'arrow-width', + type: t.arrowWidth + }].forEach(function (prop) { + arrowPrefixes.forEach(function (prefix) { + var name = prefix + '-' + prop.name; + var type = prop.type, + triggersBounds = prop.triggersBounds; + edgeArrow.push({ + name: name, + type: type, + triggersBounds: triggersBounds + }); + }); + }, {}); + var props = styfn$2.properties = [].concat(behavior, transition, visibility, overlay, underlay, ghost, commonLabel, labelDimensions, mainLabel, sourceLabel, targetLabel, nodeBody, nodeBorder, nodeOutline, backgroundImage, pie, compound, edgeLine, edgeArrow, core); + var propGroups = styfn$2.propertyGroups = { + // common to all eles + behavior: behavior, + transition: transition, + visibility: visibility, + overlay: overlay, + underlay: underlay, + ghost: ghost, + // labels + commonLabel: commonLabel, + labelDimensions: labelDimensions, + mainLabel: mainLabel, + sourceLabel: sourceLabel, + targetLabel: targetLabel, + // node props + nodeBody: nodeBody, + nodeBorder: nodeBorder, + nodeOutline: nodeOutline, + backgroundImage: backgroundImage, + pie: pie, + compound: compound, + // edge props + edgeLine: edgeLine, + edgeArrow: edgeArrow, + core: core + }; + var propGroupNames = styfn$2.propertyGroupNames = {}; + var propGroupKeys = styfn$2.propertyGroupKeys = Object.keys(propGroups); + propGroupKeys.forEach(function (key) { + propGroupNames[key] = propGroups[key].map(function (prop) { + return prop.name; + }); + propGroups[key].forEach(function (prop) { + return prop.groupKey = key; + }); + }); + + // define aliases + var aliases = styfn$2.aliases = [{ + name: 'content', + pointsTo: 'label' + }, { + name: 'control-point-distance', + pointsTo: 'control-point-distances' + }, { + name: 'control-point-weight', + pointsTo: 'control-point-weights' + }, { + name: 'edge-text-rotation', + pointsTo: 'text-rotation' + }, { + name: 'padding-left', + pointsTo: 'padding' + }, { + name: 'padding-right', + pointsTo: 'padding' + }, { + name: 'padding-top', + pointsTo: 'padding' + }, { + name: 'padding-bottom', + pointsTo: 'padding' + }]; + + // list of property names + styfn$2.propertyNames = props.map(function (p) { + return p.name; + }); + + // allow access of properties by name ( e.g. style.properties.height ) + for (var _i = 0; _i < props.length; _i++) { + var prop = props[_i]; + props[prop.name] = prop; // allow lookup by name + } + + // map aliases + for (var _i2 = 0; _i2 < aliases.length; _i2++) { + var alias = aliases[_i2]; + var pointsToProp = props[alias.pointsTo]; + var aliasProp = { + name: alias.name, + alias: true, + pointsTo: pointsToProp + }; + + // add alias prop for parsing + props.push(aliasProp); + props[alias.name] = aliasProp; // allow lookup by name + } +})(); + +styfn$2.getDefaultProperty = function (name) { + return this.getDefaultProperties()[name]; +}; +styfn$2.getDefaultProperties = function () { + var _p = this._private; + if (_p.defaultProperties != null) { + return _p.defaultProperties; + } + var rawProps = extend({ + // core props + 'selection-box-color': '#ddd', + 'selection-box-opacity': 0.65, + 'selection-box-border-color': '#aaa', + 'selection-box-border-width': 1, + 'active-bg-color': 'black', + 'active-bg-opacity': 0.15, + 'active-bg-size': 30, + 'outside-texture-bg-color': '#000', + 'outside-texture-bg-opacity': 0.125, + // common node/edge props + 'events': 'yes', + 'text-events': 'no', + 'text-valign': 'top', + 'text-halign': 'center', + 'text-justification': 'auto', + 'line-height': 1, + 'color': '#000', + 'text-outline-color': '#000', + 'text-outline-width': 0, + 'text-outline-opacity': 1, + 'text-opacity': 1, + 'text-decoration': 'none', + 'text-transform': 'none', + 'text-wrap': 'none', + 'text-overflow-wrap': 'whitespace', + 'text-max-width': 9999, + 'text-background-color': '#000', + 'text-background-opacity': 0, + 'text-background-shape': 'rectangle', + 'text-background-padding': 0, + 'text-border-opacity': 0, + 'text-border-width': 0, + 'text-border-style': 'solid', + 'text-border-color': '#000', + 'font-family': 'Helvetica Neue, Helvetica, sans-serif', + 'font-style': 'normal', + 'font-weight': 'normal', + 'font-size': 16, + 'min-zoomed-font-size': 0, + 'text-rotation': 'none', + 'source-text-rotation': 'none', + 'target-text-rotation': 'none', + 'visibility': 'visible', + 'display': 'element', + 'opacity': 1, + 'z-compound-depth': 'auto', + 'z-index-compare': 'auto', + 'z-index': 0, + 'label': '', + 'text-margin-x': 0, + 'text-margin-y': 0, + 'source-label': '', + 'source-text-offset': 0, + 'source-text-margin-x': 0, + 'source-text-margin-y': 0, + 'target-label': '', + 'target-text-offset': 0, + 'target-text-margin-x': 0, + 'target-text-margin-y': 0, + 'overlay-opacity': 0, + 'overlay-color': '#000', + 'overlay-padding': 10, + 'overlay-shape': 'round-rectangle', + 'underlay-opacity': 0, + 'underlay-color': '#000', + 'underlay-padding': 10, + 'underlay-shape': 'round-rectangle', + 'transition-property': 'none', + 'transition-duration': 0, + 'transition-delay': 0, + 'transition-timing-function': 'linear', + // node props + 'background-blacken': 0, + 'background-color': '#999', + 'background-fill': 'solid', + 'background-opacity': 1, + 'background-image': 'none', + 'background-image-crossorigin': 'anonymous', + 'background-image-opacity': 1, + 'background-image-containment': 'inside', + 'background-image-smoothing': 'yes', + 'background-position-x': '50%', + 'background-position-y': '50%', + 'background-offset-x': 0, + 'background-offset-y': 0, + 'background-width-relative-to': 'include-padding', + 'background-height-relative-to': 'include-padding', + 'background-repeat': 'no-repeat', + 'background-fit': 'none', + 'background-clip': 'node', + 'background-width': 'auto', + 'background-height': 'auto', + 'border-color': '#000', + 'border-opacity': 1, + 'border-width': 0, + 'border-style': 'solid', + 'outline-color': '#999', + 'outline-opacity': 1, + 'outline-width': 0, + 'outline-offset': 0, + 'outline-style': 'solid', + 'height': 30, + 'width': 30, + 'shape': 'ellipse', + 'shape-polygon-points': '-1, -1, 1, -1, 1, 1, -1, 1', + 'bounds-expansion': 0, + // node gradient + 'background-gradient-direction': 'to-bottom', + 'background-gradient-stop-colors': '#999', + 'background-gradient-stop-positions': '0%', + // ghost props + 'ghost': 'no', + 'ghost-offset-y': 0, + 'ghost-offset-x': 0, + 'ghost-opacity': 0, + // compound props + 'padding': 0, + 'padding-relative-to': 'width', + 'position': 'origin', + 'compound-sizing-wrt-labels': 'include', + 'min-width': 0, + 'min-width-bias-left': 0, + 'min-width-bias-right': 0, + 'min-height': 0, + 'min-height-bias-top': 0, + 'min-height-bias-bottom': 0 + }, { + // node pie bg + 'pie-size': '100%' + }, [{ + name: 'pie-{{i}}-background-color', + value: 'black' + }, { + name: 'pie-{{i}}-background-size', + value: '0%' + }, { + name: 'pie-{{i}}-background-opacity', + value: 1 + }].reduce(function (css, prop) { + for (var i = 1; i <= styfn$2.pieBackgroundN; i++) { + var name = prop.name.replace('{{i}}', i); + var val = prop.value; + css[name] = val; + } + return css; + }, {}), { + // edge props + 'line-style': 'solid', + 'line-color': '#999', + 'line-fill': 'solid', + 'line-cap': 'butt', + 'line-opacity': 1, + 'line-gradient-stop-colors': '#999', + 'line-gradient-stop-positions': '0%', + 'control-point-step-size': 40, + 'control-point-weights': 0.5, + 'segment-weights': 0.5, + 'segment-distances': 20, + 'taxi-turn': '50%', + 'taxi-turn-min-distance': 10, + 'taxi-direction': 'auto', + 'edge-distances': 'intersection', + 'curve-style': 'haystack', + 'haystack-radius': 0, + 'arrow-scale': 1, + 'loop-direction': '-45deg', + 'loop-sweep': '-90deg', + 'source-distance-from-node': 0, + 'target-distance-from-node': 0, + 'source-endpoint': 'outside-to-node', + 'target-endpoint': 'outside-to-node', + 'line-dash-pattern': [6, 3], + 'line-dash-offset': 0 + }, [{ + name: 'arrow-shape', + value: 'none' + }, { + name: 'arrow-color', + value: '#999' + }, { + name: 'arrow-fill', + value: 'filled' + }, { + name: 'arrow-width', + value: 1 + }].reduce(function (css, prop) { + styfn$2.arrowPrefixes.forEach(function (prefix) { + var name = prefix + '-' + prop.name; + var val = prop.value; + css[name] = val; + }); + return css; + }, {})); + var parsedProps = {}; + for (var i = 0; i < this.properties.length; i++) { + var prop = this.properties[i]; + if (prop.pointsTo) { + continue; + } + var name = prop.name; + var val = rawProps[name]; + var parsedProp = this.parse(name, val); + parsedProps[name] = parsedProp; + } + _p.defaultProperties = parsedProps; + return _p.defaultProperties; +}; +styfn$2.addDefaultStylesheet = function () { + this.selector(':parent').css({ + 'shape': 'rectangle', + 'padding': 10, + 'background-color': '#eee', + 'border-color': '#ccc', + 'border-width': 1 + }).selector('edge').css({ + 'width': 3 + }).selector(':loop').css({ + 'curve-style': 'bezier' + }).selector('edge:compound').css({ + 'curve-style': 'bezier', + 'source-endpoint': 'outside-to-line', + 'target-endpoint': 'outside-to-line' + }).selector(':selected').css({ + 'background-color': '#0169D9', + 'line-color': '#0169D9', + 'source-arrow-color': '#0169D9', + 'target-arrow-color': '#0169D9', + 'mid-source-arrow-color': '#0169D9', + 'mid-target-arrow-color': '#0169D9' + }).selector(':parent:selected').css({ + 'background-color': '#CCE1F9', + 'border-color': '#aec8e5' + }).selector(':active').css({ + 'overlay-color': 'black', + 'overlay-padding': 10, + 'overlay-opacity': 0.25 + }); + this.defaultLength = this.length; +}; + +var styfn$1 = {}; + +// a caching layer for property parsing +styfn$1.parse = function (name, value, propIsBypass, propIsFlat) { + var self = this; + + // function values can't be cached in all cases, and there isn't much benefit of caching them anyway + if (fn$6(value)) { + return self.parseImplWarn(name, value, propIsBypass, propIsFlat); + } + var flatKey = propIsFlat === 'mapping' || propIsFlat === true || propIsFlat === false || propIsFlat == null ? 'dontcare' : propIsFlat; + var bypassKey = propIsBypass ? 't' : 'f'; + var valueKey = '' + value; + var argHash = hashStrings(name, valueKey, bypassKey, flatKey); + var propCache = self.propCache = self.propCache || []; + var ret; + if (!(ret = propCache[argHash])) { + ret = propCache[argHash] = self.parseImplWarn(name, value, propIsBypass, propIsFlat); + } + + // - bypasses can't be shared b/c the value can be changed by animations or otherwise overridden + // - mappings can't be shared b/c mappings are per-element + if (propIsBypass || propIsFlat === 'mapping') { + // need a copy since props are mutated later in their lifecycles + ret = copy(ret); + if (ret) { + ret.value = copy(ret.value); // because it could be an array, e.g. colour + } + } + + return ret; +}; +styfn$1.parseImplWarn = function (name, value, propIsBypass, propIsFlat) { + var prop = this.parseImpl(name, value, propIsBypass, propIsFlat); + if (!prop && value != null) { + warn("The style property `".concat(name, ": ").concat(value, "` is invalid")); + } + if (prop && (prop.name === 'width' || prop.name === 'height') && value === 'label') { + warn('The style value of `label` is deprecated for `' + prop.name + '`'); + } + return prop; +}; + +// parse a property; return null on invalid; return parsed property otherwise +// fields : +// - name : the name of the property +// - value : the parsed, native-typed value of the property +// - strValue : a string value that represents the property value in valid css +// - bypass : true iff the property is a bypass property +styfn$1.parseImpl = function (name, value, propIsBypass, propIsFlat) { + var self = this; + name = camel2dash(name); // make sure the property name is in dash form (e.g. 'property-name' not 'propertyName') + + var property = self.properties[name]; + var passedValue = value; + var types = self.types; + if (!property) { + return null; + } // return null on property of unknown name + if (value === undefined) { + return null; + } // can't assign undefined + + // the property may be an alias + if (property.alias) { + property = property.pointsTo; + name = property.name; + } + var valueIsString = string(value); + if (valueIsString) { + // trim the value to make parsing easier + value = value.trim(); + } + var type = property.type; + if (!type) { + return null; + } // no type, no luck + + // check if bypass is null or empty string (i.e. indication to delete bypass property) + if (propIsBypass && (value === '' || value === null)) { + return { + name: name, + value: value, + bypass: true, + deleteBypass: true + }; + } + + // check if value is a function used as a mapper + if (fn$6(value)) { + return { + name: name, + value: value, + strValue: 'fn', + mapped: types.fn, + bypass: propIsBypass + }; + } + + // check if value is mapped + var data, mapData; + if (!valueIsString || propIsFlat || value.length < 7 || value[1] !== 'a') ; else if (value.length >= 7 && value[0] === 'd' && (data = new RegExp(types.data.regex).exec(value))) { + if (propIsBypass) { + return false; + } // mappers not allowed in bypass + + var mapped = types.data; + return { + name: name, + value: data, + strValue: '' + value, + mapped: mapped, + field: data[1], + bypass: propIsBypass + }; + } else if (value.length >= 10 && value[0] === 'm' && (mapData = new RegExp(types.mapData.regex).exec(value))) { + if (propIsBypass) { + return false; + } // mappers not allowed in bypass + if (type.multiple) { + return false; + } // impossible to map to num + + var _mapped = types.mapData; + + // we can map only if the type is a colour or a number + if (!(type.color || type.number)) { + return false; + } + var valueMin = this.parse(name, mapData[4]); // parse to validate + if (!valueMin || valueMin.mapped) { + return false; + } // can't be invalid or mapped + + var valueMax = this.parse(name, mapData[5]); // parse to validate + if (!valueMax || valueMax.mapped) { + return false; + } // can't be invalid or mapped + + // check if valueMin and valueMax are the same + if (valueMin.pfValue === valueMax.pfValue || valueMin.strValue === valueMax.strValue) { + warn('`' + name + ': ' + value + '` is not a valid mapper because the output range is zero; converting to `' + name + ': ' + valueMin.strValue + '`'); + return this.parse(name, valueMin.strValue); // can't make much of a mapper without a range + } else if (type.color) { + var c1 = valueMin.value; + var c2 = valueMax.value; + var same = c1[0] === c2[0] // red + && c1[1] === c2[1] // green + && c1[2] === c2[2] // blue + && ( + // optional alpha + c1[3] === c2[3] // same alpha outright + || (c1[3] == null || c1[3] === 1 // full opacity for colour 1? + ) && (c2[3] == null || c2[3] === 1) // full opacity for colour 2? + ); + + if (same) { + return false; + } // can't make a mapper without a range + } + + return { + name: name, + value: mapData, + strValue: '' + value, + mapped: _mapped, + field: mapData[1], + fieldMin: parseFloat(mapData[2]), + // min & max are numeric + fieldMax: parseFloat(mapData[3]), + valueMin: valueMin.value, + valueMax: valueMax.value, + bypass: propIsBypass + }; + } + if (type.multiple && propIsFlat !== 'multiple') { + var vals; + if (valueIsString) { + vals = value.split(/\s+/); + } else if (array(value)) { + vals = value; + } else { + vals = [value]; + } + if (type.evenMultiple && vals.length % 2 !== 0) { + return null; + } + var valArr = []; + var unitsArr = []; + var pfValArr = []; + var strVal = ''; + var hasEnum = false; + for (var i = 0; i < vals.length; i++) { + var p = self.parse(name, vals[i], propIsBypass, 'multiple'); + hasEnum = hasEnum || string(p.value); + valArr.push(p.value); + pfValArr.push(p.pfValue != null ? p.pfValue : p.value); + unitsArr.push(p.units); + strVal += (i > 0 ? ' ' : '') + p.strValue; + } + if (type.validate && !type.validate(valArr, unitsArr)) { + return null; + } + if (type.singleEnum && hasEnum) { + if (valArr.length === 1 && string(valArr[0])) { + return { + name: name, + value: valArr[0], + strValue: valArr[0], + bypass: propIsBypass + }; + } else { + return null; + } + } + return { + name: name, + value: valArr, + pfValue: pfValArr, + strValue: strVal, + bypass: propIsBypass, + units: unitsArr + }; + } + + // several types also allow enums + var checkEnums = function checkEnums() { + for (var _i = 0; _i < type.enums.length; _i++) { + var en = type.enums[_i]; + if (en === value) { + return { + name: name, + value: value, + strValue: '' + value, + bypass: propIsBypass + }; + } + } + return null; + }; + + // check the type and return the appropriate object + if (type.number) { + var units; + var implicitUnits = 'px'; // not set => px + + if (type.units) { + // use specified units if set + units = type.units; + } + if (type.implicitUnits) { + implicitUnits = type.implicitUnits; + } + if (!type.unitless) { + if (valueIsString) { + var unitsRegex = 'px|em' + (type.allowPercent ? '|\\%' : ''); + if (units) { + unitsRegex = units; + } // only allow explicit units if so set + var match = value.match('^(' + number + ')(' + unitsRegex + ')?' + '$'); + if (match) { + value = match[1]; + units = match[2] || implicitUnits; + } + } else if (!units || type.implicitUnits) { + units = implicitUnits; // implicitly px if unspecified + } + } + + value = parseFloat(value); + + // if not a number and enums not allowed, then the value is invalid + if (isNaN(value) && type.enums === undefined) { + return null; + } + + // check if this number type also accepts special keywords in place of numbers + // (i.e. `left`, `auto`, etc) + if (isNaN(value) && type.enums !== undefined) { + value = passedValue; + return checkEnums(); + } + + // check if value must be an integer + if (type.integer && !integer(value)) { + return null; + } + + // check value is within range + if (type.min !== undefined && (value < type.min || type.strictMin && value === type.min) || type.max !== undefined && (value > type.max || type.strictMax && value === type.max)) { + return null; + } + var ret = { + name: name, + value: value, + strValue: '' + value + (units ? units : ''), + units: units, + bypass: propIsBypass + }; + + // normalise value in pixels + if (type.unitless || units !== 'px' && units !== 'em') { + ret.pfValue = value; + } else { + ret.pfValue = units === 'px' || !units ? value : this.getEmSizeInPixels() * value; + } + + // normalise value in ms + if (units === 'ms' || units === 's') { + ret.pfValue = units === 'ms' ? value : 1000 * value; + } + + // normalise value in rad + if (units === 'deg' || units === 'rad') { + ret.pfValue = units === 'rad' ? value : deg2rad(value); + } + + // normalize value in % + if (units === '%') { + ret.pfValue = value / 100; + } + return ret; + } else if (type.propList) { + var props = []; + var propsStr = '' + value; + if (propsStr === 'none') ; else { + // go over each prop + + var propsSplit = propsStr.split(/\s*,\s*|\s+/); + for (var _i2 = 0; _i2 < propsSplit.length; _i2++) { + var propName = propsSplit[_i2].trim(); + if (self.properties[propName]) { + props.push(propName); + } else { + warn('`' + propName + '` is not a valid property name'); + } + } + if (props.length === 0) { + return null; + } + } + return { + name: name, + value: props, + strValue: props.length === 0 ? 'none' : props.join(' '), + bypass: propIsBypass + }; + } else if (type.color) { + var tuple = color2tuple(value); + if (!tuple) { + return null; + } + return { + name: name, + value: tuple, + pfValue: tuple, + strValue: 'rgb(' + tuple[0] + ',' + tuple[1] + ',' + tuple[2] + ')', + // n.b. no spaces b/c of multiple support + bypass: propIsBypass + }; + } else if (type.regex || type.regexes) { + // first check enums + if (type.enums) { + var enumProp = checkEnums(); + if (enumProp) { + return enumProp; + } + } + var regexes = type.regexes ? type.regexes : [type.regex]; + for (var _i3 = 0; _i3 < regexes.length; _i3++) { + var regex = new RegExp(regexes[_i3]); // make a regex from the type string + var m = regex.exec(value); + if (m) { + // regex matches + return { + name: name, + value: type.singleRegexMatchValue ? m[1] : m, + strValue: '' + value, + bypass: propIsBypass + }; + } + } + return null; // didn't match any + } else if (type.string) { + // just return + return { + name: name, + value: '' + value, + strValue: '' + value, + bypass: propIsBypass + }; + } else if (type.enums) { + // check enums last because it's a combo type in others + return checkEnums(); + } else { + return null; // not a type we can handle + } +}; + +var Style = function Style(cy) { + if (!(this instanceof Style)) { + return new Style(cy); + } + if (!core(cy)) { + error('A style must have a core reference'); + return; + } + this._private = { + cy: cy, + coreStyle: {} + }; + this.length = 0; + this.resetToDefault(); +}; +var styfn = Style.prototype; +styfn.instanceString = function () { + return 'style'; +}; + +// remove all contexts +styfn.clear = function () { + var _p = this._private; + var cy = _p.cy; + var eles = cy.elements(); + for (var i = 0; i < this.length; i++) { + this[i] = undefined; + } + this.length = 0; + _p.contextStyles = {}; + _p.propDiffs = {}; + this.cleanElements(eles, true); + eles.forEach(function (ele) { + var ele_p = ele[0]._private; + ele_p.styleDirty = true; + ele_p.appliedInitStyle = false; + }); + return this; // chaining +}; + +styfn.resetToDefault = function () { + this.clear(); + this.addDefaultStylesheet(); + return this; +}; + +// builds a style object for the 'core' selector +styfn.core = function (propName) { + return this._private.coreStyle[propName] || this.getDefaultProperty(propName); +}; + +// create a new context from the specified selector string and switch to that context +styfn.selector = function (selectorStr) { + // 'core' is a special case and does not need a selector + var selector = selectorStr === 'core' ? null : new Selector(selectorStr); + var i = this.length++; // new context means new index + this[i] = { + selector: selector, + properties: [], + mappedProperties: [], + index: i + }; + return this; // chaining +}; + +// add one or many css rules to the current context +styfn.css = function () { + var self = this; + var args = arguments; + if (args.length === 1) { + var map = args[0]; + for (var i = 0; i < self.properties.length; i++) { + var prop = self.properties[i]; + var mapVal = map[prop.name]; + if (mapVal === undefined) { + mapVal = map[dash2camel(prop.name)]; + } + if (mapVal !== undefined) { + this.cssRule(prop.name, mapVal); + } + } + } else if (args.length === 2) { + this.cssRule(args[0], args[1]); + } + + // do nothing if args are invalid + + return this; // chaining +}; + +styfn.style = styfn.css; + +// add a single css rule to the current context +styfn.cssRule = function (name, value) { + // name-value pair + var property = this.parse(name, value); + + // add property to current context if valid + if (property) { + var i = this.length - 1; + this[i].properties.push(property); + this[i].properties[property.name] = property; // allow access by name as well + + if (property.name.match(/pie-(\d+)-background-size/) && property.value) { + this._private.hasPie = true; + } + if (property.mapped) { + this[i].mappedProperties.push(property); + } + + // add to core style if necessary + var currentSelectorIsCore = !this[i].selector; + if (currentSelectorIsCore) { + this._private.coreStyle[property.name] = property; + } + } + return this; // chaining +}; + +styfn.append = function (style) { + if (stylesheet(style)) { + style.appendToStyle(this); + } else if (array(style)) { + this.appendFromJson(style); + } else if (string(style)) { + this.appendFromString(style); + } // you probably wouldn't want to append a Style, since you'd duplicate the default parts + + return this; +}; + +// static function +Style.fromJson = function (cy, json) { + var style = new Style(cy); + style.fromJson(json); + return style; +}; +Style.fromString = function (cy, string) { + return new Style(cy).fromString(string); +}; +[styfn$8, styfn$7, styfn$6, styfn$5, styfn$4, styfn$3, styfn$2, styfn$1].forEach(function (props) { + extend(styfn, props); +}); +Style.types = styfn.types; +Style.properties = styfn.properties; +Style.propertyGroups = styfn.propertyGroups; +Style.propertyGroupNames = styfn.propertyGroupNames; +Style.propertyGroupKeys = styfn.propertyGroupKeys; + +var corefn$2 = { + style: function style(newStyle) { + if (newStyle) { + var s = this.setStyle(newStyle); + s.update(); + } + return this._private.style; + }, + setStyle: function setStyle(style) { + var _p = this._private; + if (stylesheet(style)) { + _p.style = style.generateStyle(this); + } else if (array(style)) { + _p.style = Style.fromJson(this, style); + } else if (string(style)) { + _p.style = Style.fromString(this, style); + } else { + _p.style = Style(this); + } + return _p.style; + }, + // e.g. cy.data() changed => recalc ele mappers + updateStyle: function updateStyle() { + this.mutableElements().updateStyle(); // just send to all eles + } +}; + +var defaultSelectionType = 'single'; +var corefn$1 = { + autolock: function autolock(bool) { + if (bool !== undefined) { + this._private.autolock = bool ? true : false; + } else { + return this._private.autolock; + } + return this; // chaining + }, + + autoungrabify: function autoungrabify(bool) { + if (bool !== undefined) { + this._private.autoungrabify = bool ? true : false; + } else { + return this._private.autoungrabify; + } + return this; // chaining + }, + + autounselectify: function autounselectify(bool) { + if (bool !== undefined) { + this._private.autounselectify = bool ? true : false; + } else { + return this._private.autounselectify; + } + return this; // chaining + }, + + selectionType: function selectionType(selType) { + var _p = this._private; + if (_p.selectionType == null) { + _p.selectionType = defaultSelectionType; + } + if (selType !== undefined) { + if (selType === 'additive' || selType === 'single') { + _p.selectionType = selType; + } + } else { + return _p.selectionType; + } + return this; + }, + panningEnabled: function panningEnabled(bool) { + if (bool !== undefined) { + this._private.panningEnabled = bool ? true : false; + } else { + return this._private.panningEnabled; + } + return this; // chaining + }, + + userPanningEnabled: function userPanningEnabled(bool) { + if (bool !== undefined) { + this._private.userPanningEnabled = bool ? true : false; + } else { + return this._private.userPanningEnabled; + } + return this; // chaining + }, + + zoomingEnabled: function zoomingEnabled(bool) { + if (bool !== undefined) { + this._private.zoomingEnabled = bool ? true : false; + } else { + return this._private.zoomingEnabled; + } + return this; // chaining + }, + + userZoomingEnabled: function userZoomingEnabled(bool) { + if (bool !== undefined) { + this._private.userZoomingEnabled = bool ? true : false; + } else { + return this._private.userZoomingEnabled; + } + return this; // chaining + }, + + boxSelectionEnabled: function boxSelectionEnabled(bool) { + if (bool !== undefined) { + this._private.boxSelectionEnabled = bool ? true : false; + } else { + return this._private.boxSelectionEnabled; + } + return this; // chaining + }, + + pan: function pan() { + var args = arguments; + var pan = this._private.pan; + var dim, val, dims, x, y; + switch (args.length) { + case 0: + // .pan() + return pan; + case 1: + if (string(args[0])) { + // .pan('x') + dim = args[0]; + return pan[dim]; + } else if (plainObject(args[0])) { + // .pan({ x: 0, y: 100 }) + if (!this._private.panningEnabled) { + return this; + } + dims = args[0]; + x = dims.x; + y = dims.y; + if (number$1(x)) { + pan.x = x; + } + if (number$1(y)) { + pan.y = y; + } + this.emit('pan viewport'); + } + break; + case 2: + // .pan('x', 100) + if (!this._private.panningEnabled) { + return this; + } + dim = args[0]; + val = args[1]; + if ((dim === 'x' || dim === 'y') && number$1(val)) { + pan[dim] = val; + } + this.emit('pan viewport'); + break; + // invalid + } + + this.notify('viewport'); + return this; // chaining + }, + + panBy: function panBy(arg0, arg1) { + var args = arguments; + var pan = this._private.pan; + var dim, val, dims, x, y; + if (!this._private.panningEnabled) { + return this; + } + switch (args.length) { + case 1: + if (plainObject(arg0)) { + // .panBy({ x: 0, y: 100 }) + dims = args[0]; + x = dims.x; + y = dims.y; + if (number$1(x)) { + pan.x += x; + } + if (number$1(y)) { + pan.y += y; + } + this.emit('pan viewport'); + } + break; + case 2: + // .panBy('x', 100) + dim = arg0; + val = arg1; + if ((dim === 'x' || dim === 'y') && number$1(val)) { + pan[dim] += val; + } + this.emit('pan viewport'); + break; + // invalid + } + + this.notify('viewport'); + return this; // chaining + }, + + fit: function fit(elements, padding) { + var viewportState = this.getFitViewport(elements, padding); + if (viewportState) { + var _p = this._private; + _p.zoom = viewportState.zoom; + _p.pan = viewportState.pan; + this.emit('pan zoom viewport'); + this.notify('viewport'); + } + return this; // chaining + }, + + getFitViewport: function getFitViewport(elements, padding) { + if (number$1(elements) && padding === undefined) { + // elements is optional + padding = elements; + elements = undefined; + } + if (!this._private.panningEnabled || !this._private.zoomingEnabled) { + return; + } + var bb; + if (string(elements)) { + var sel = elements; + elements = this.$(sel); + } else if (boundingBox(elements)) { + // assume bb + var bbe = elements; + bb = { + x1: bbe.x1, + y1: bbe.y1, + x2: bbe.x2, + y2: bbe.y2 + }; + bb.w = bb.x2 - bb.x1; + bb.h = bb.y2 - bb.y1; + } else if (!elementOrCollection(elements)) { + elements = this.mutableElements(); + } + if (elementOrCollection(elements) && elements.empty()) { + return; + } // can't fit to nothing + + bb = bb || elements.boundingBox(); + var w = this.width(); + var h = this.height(); + var zoom; + padding = number$1(padding) ? padding : 0; + if (!isNaN(w) && !isNaN(h) && w > 0 && h > 0 && !isNaN(bb.w) && !isNaN(bb.h) && bb.w > 0 && bb.h > 0) { + zoom = Math.min((w - 2 * padding) / bb.w, (h - 2 * padding) / bb.h); + + // crop zoom + zoom = zoom > this._private.maxZoom ? this._private.maxZoom : zoom; + zoom = zoom < this._private.minZoom ? this._private.minZoom : zoom; + var pan = { + // now pan to middle + x: (w - zoom * (bb.x1 + bb.x2)) / 2, + y: (h - zoom * (bb.y1 + bb.y2)) / 2 + }; + return { + zoom: zoom, + pan: pan + }; + } + return; + }, + zoomRange: function zoomRange(min, max) { + var _p = this._private; + if (max == null) { + var opts = min; + min = opts.min; + max = opts.max; + } + if (number$1(min) && number$1(max) && min <= max) { + _p.minZoom = min; + _p.maxZoom = max; + } else if (number$1(min) && max === undefined && min <= _p.maxZoom) { + _p.minZoom = min; + } else if (number$1(max) && min === undefined && max >= _p.minZoom) { + _p.maxZoom = max; + } + return this; + }, + minZoom: function minZoom(zoom) { + if (zoom === undefined) { + return this._private.minZoom; + } else { + return this.zoomRange({ + min: zoom + }); + } + }, + maxZoom: function maxZoom(zoom) { + if (zoom === undefined) { + return this._private.maxZoom; + } else { + return this.zoomRange({ + max: zoom + }); + } + }, + getZoomedViewport: function getZoomedViewport(params) { + var _p = this._private; + var currentPan = _p.pan; + var currentZoom = _p.zoom; + var pos; // in rendered px + var zoom; + var bail = false; + if (!_p.zoomingEnabled) { + // zooming disabled + bail = true; + } + if (number$1(params)) { + // then set the zoom + zoom = params; + } else if (plainObject(params)) { + // then zoom about a point + zoom = params.level; + if (params.position != null) { + pos = modelToRenderedPosition(params.position, currentZoom, currentPan); + } else if (params.renderedPosition != null) { + pos = params.renderedPosition; + } + if (pos != null && !_p.panningEnabled) { + // panning disabled + bail = true; + } + } + + // crop zoom + zoom = zoom > _p.maxZoom ? _p.maxZoom : zoom; + zoom = zoom < _p.minZoom ? _p.minZoom : zoom; + + // can't zoom with invalid params + if (bail || !number$1(zoom) || zoom === currentZoom || pos != null && (!number$1(pos.x) || !number$1(pos.y))) { + return null; + } + if (pos != null) { + // set zoom about position + var pan1 = currentPan; + var zoom1 = currentZoom; + var zoom2 = zoom; + var pan2 = { + x: -zoom2 / zoom1 * (pos.x - pan1.x) + pos.x, + y: -zoom2 / zoom1 * (pos.y - pan1.y) + pos.y + }; + return { + zoomed: true, + panned: true, + zoom: zoom2, + pan: pan2 + }; + } else { + // just set the zoom + return { + zoomed: true, + panned: false, + zoom: zoom, + pan: currentPan + }; + } + }, + zoom: function zoom(params) { + if (params === undefined) { + // get + return this._private.zoom; + } else { + // set + var vp = this.getZoomedViewport(params); + var _p = this._private; + if (vp == null || !vp.zoomed) { + return this; + } + _p.zoom = vp.zoom; + if (vp.panned) { + _p.pan.x = vp.pan.x; + _p.pan.y = vp.pan.y; + } + this.emit('zoom' + (vp.panned ? ' pan' : '') + ' viewport'); + this.notify('viewport'); + return this; // chaining + } + }, + + viewport: function viewport(opts) { + var _p = this._private; + var zoomDefd = true; + var panDefd = true; + var events = []; // to trigger + var zoomFailed = false; + var panFailed = false; + if (!opts) { + return this; + } + if (!number$1(opts.zoom)) { + zoomDefd = false; + } + if (!plainObject(opts.pan)) { + panDefd = false; + } + if (!zoomDefd && !panDefd) { + return this; + } + if (zoomDefd) { + var z = opts.zoom; + if (z < _p.minZoom || z > _p.maxZoom || !_p.zoomingEnabled) { + zoomFailed = true; + } else { + _p.zoom = z; + events.push('zoom'); + } + } + if (panDefd && (!zoomFailed || !opts.cancelOnFailedZoom) && _p.panningEnabled) { + var p = opts.pan; + if (number$1(p.x)) { + _p.pan.x = p.x; + panFailed = false; + } + if (number$1(p.y)) { + _p.pan.y = p.y; + panFailed = false; + } + if (!panFailed) { + events.push('pan'); + } + } + if (events.length > 0) { + events.push('viewport'); + this.emit(events.join(' ')); + this.notify('viewport'); + } + return this; // chaining + }, + + center: function center(elements) { + var pan = this.getCenterPan(elements); + if (pan) { + this._private.pan = pan; + this.emit('pan viewport'); + this.notify('viewport'); + } + return this; // chaining + }, + + getCenterPan: function getCenterPan(elements, zoom) { + if (!this._private.panningEnabled) { + return; + } + if (string(elements)) { + var selector = elements; + elements = this.mutableElements().filter(selector); + } else if (!elementOrCollection(elements)) { + elements = this.mutableElements(); + } + if (elements.length === 0) { + return; + } // can't centre pan to nothing + + var bb = elements.boundingBox(); + var w = this.width(); + var h = this.height(); + zoom = zoom === undefined ? this._private.zoom : zoom; + var pan = { + // middle + x: (w - zoom * (bb.x1 + bb.x2)) / 2, + y: (h - zoom * (bb.y1 + bb.y2)) / 2 + }; + return pan; + }, + reset: function reset() { + if (!this._private.panningEnabled || !this._private.zoomingEnabled) { + return this; + } + this.viewport({ + pan: { + x: 0, + y: 0 + }, + zoom: 1 + }); + return this; // chaining + }, + + invalidateSize: function invalidateSize() { + this._private.sizeCache = null; + }, + size: function size() { + var _p = this._private; + var container = _p.container; + var cy = this; + return _p.sizeCache = _p.sizeCache || (container ? function () { + var style = cy.window().getComputedStyle(container); + var val = function val(name) { + return parseFloat(style.getPropertyValue(name)); + }; + return { + width: container.clientWidth - val('padding-left') - val('padding-right'), + height: container.clientHeight - val('padding-top') - val('padding-bottom') + }; + }() : { + // fallback if no container (not 0 b/c can be used for dividing etc) + width: 1, + height: 1 + }); + }, + width: function width() { + return this.size().width; + }, + height: function height() { + return this.size().height; + }, + extent: function extent() { + var pan = this._private.pan; + var zoom = this._private.zoom; + var rb = this.renderedExtent(); + var b = { + x1: (rb.x1 - pan.x) / zoom, + x2: (rb.x2 - pan.x) / zoom, + y1: (rb.y1 - pan.y) / zoom, + y2: (rb.y2 - pan.y) / zoom + }; + b.w = b.x2 - b.x1; + b.h = b.y2 - b.y1; + return b; + }, + renderedExtent: function renderedExtent() { + var width = this.width(); + var height = this.height(); + return { + x1: 0, + y1: 0, + x2: width, + y2: height, + w: width, + h: height + }; + }, + multiClickDebounceTime: function multiClickDebounceTime(_int) { + if (_int) this._private.multiClickDebounceTime = _int;else return this._private.multiClickDebounceTime; + return this; // chaining + } +}; + +// aliases +corefn$1.centre = corefn$1.center; + +// backwards compatibility +corefn$1.autolockNodes = corefn$1.autolock; +corefn$1.autoungrabifyNodes = corefn$1.autoungrabify; + +var fn = { + data: define.data({ + field: 'data', + bindingEvent: 'data', + allowBinding: true, + allowSetting: true, + settingEvent: 'data', + settingTriggersEvent: true, + triggerFnName: 'trigger', + allowGetting: true, + updateStyle: true + }), + removeData: define.removeData({ + field: 'data', + event: 'data', + triggerFnName: 'trigger', + triggerEvent: true, + updateStyle: true + }), + scratch: define.data({ + field: 'scratch', + bindingEvent: 'scratch', + allowBinding: true, + allowSetting: true, + settingEvent: 'scratch', + settingTriggersEvent: true, + triggerFnName: 'trigger', + allowGetting: true, + updateStyle: true + }), + removeScratch: define.removeData({ + field: 'scratch', + event: 'scratch', + triggerFnName: 'trigger', + triggerEvent: true, + updateStyle: true + }) +}; + +// aliases +fn.attr = fn.data; +fn.removeAttr = fn.removeData; + +var Core = function Core(opts) { + var cy = this; + opts = extend({}, opts); + var container = opts.container; + + // allow for passing a wrapped jquery object + // e.g. cytoscape({ container: $('#cy') }) + if (container && !htmlElement(container) && htmlElement(container[0])) { + container = container[0]; + } + var reg = container ? container._cyreg : null; // e.g. already registered some info (e.g. readies) via jquery + reg = reg || {}; + if (reg && reg.cy) { + reg.cy.destroy(); + reg = {}; // old instance => replace reg completely + } + + var readies = reg.readies = reg.readies || []; + if (container) { + container._cyreg = reg; + } // make sure container assoc'd reg points to this cy + reg.cy = cy; + var head = _window !== undefined && container !== undefined && !opts.headless; + var options = opts; + options.layout = extend({ + name: head ? 'grid' : 'null' + }, options.layout); + options.renderer = extend({ + name: head ? 'canvas' : 'null' + }, options.renderer); + var defVal = function defVal(def, val, altVal) { + if (val !== undefined) { + return val; + } else if (altVal !== undefined) { + return altVal; + } else { + return def; + } + }; + var _p = this._private = { + container: container, + // html dom ele container + ready: false, + // whether ready has been triggered + options: options, + // cached options + elements: new Collection(this), + // elements in the graph + listeners: [], + // list of listeners + aniEles: new Collection(this), + // elements being animated + data: options.data || {}, + // data for the core + scratch: {}, + // scratch object for core + layout: null, + renderer: null, + destroyed: false, + // whether destroy was called + notificationsEnabled: true, + // whether notifications are sent to the renderer + minZoom: 1e-50, + maxZoom: 1e50, + zoomingEnabled: defVal(true, options.zoomingEnabled), + userZoomingEnabled: defVal(true, options.userZoomingEnabled), + panningEnabled: defVal(true, options.panningEnabled), + userPanningEnabled: defVal(true, options.userPanningEnabled), + boxSelectionEnabled: defVal(true, options.boxSelectionEnabled), + autolock: defVal(false, options.autolock, options.autolockNodes), + autoungrabify: defVal(false, options.autoungrabify, options.autoungrabifyNodes), + autounselectify: defVal(false, options.autounselectify), + styleEnabled: options.styleEnabled === undefined ? head : options.styleEnabled, + zoom: number$1(options.zoom) ? options.zoom : 1, + pan: { + x: plainObject(options.pan) && number$1(options.pan.x) ? options.pan.x : 0, + y: plainObject(options.pan) && number$1(options.pan.y) ? options.pan.y : 0 + }, + animation: { + // object for currently-running animations + current: [], + queue: [] + }, + hasCompoundNodes: false, + multiClickDebounceTime: defVal(250, options.multiClickDebounceTime) + }; + this.createEmitter(); + + // set selection type + this.selectionType(options.selectionType); + + // init zoom bounds + this.zoomRange({ + min: options.minZoom, + max: options.maxZoom + }); + var loadExtData = function loadExtData(extData, next) { + var anyIsPromise = extData.some(promise); + if (anyIsPromise) { + return Promise$1.all(extData).then(next); // load all data asynchronously, then exec rest of init + } else { + next(extData); // exec synchronously for convenience + } + }; + + // start with the default stylesheet so we have something before loading an external stylesheet + if (_p.styleEnabled) { + cy.setStyle([]); + } + + // create the renderer + var rendererOptions = extend({}, options, options.renderer); // allow rendering hints in top level options + cy.initRenderer(rendererOptions); + var setElesAndLayout = function setElesAndLayout(elements, onload, ondone) { + cy.notifications(false); + + // remove old elements + var oldEles = cy.mutableElements(); + if (oldEles.length > 0) { + oldEles.remove(); + } + if (elements != null) { + if (plainObject(elements) || array(elements)) { + cy.add(elements); + } + } + cy.one('layoutready', function (e) { + cy.notifications(true); + cy.emit(e); // we missed this event by turning notifications off, so pass it on + + cy.one('load', onload); + cy.emitAndNotify('load'); + }).one('layoutstop', function () { + cy.one('done', ondone); + cy.emit('done'); + }); + var layoutOpts = extend({}, cy._private.options.layout); + layoutOpts.eles = cy.elements(); + cy.layout(layoutOpts).run(); + }; + loadExtData([options.style, options.elements], function (thens) { + var initStyle = thens[0]; + var initEles = thens[1]; + + // init style + if (_p.styleEnabled) { + cy.style().append(initStyle); + } + + // initial load + setElesAndLayout(initEles, function () { + // onready + cy.startAnimationLoop(); + _p.ready = true; + + // if a ready callback is specified as an option, the bind it + if (fn$6(options.ready)) { + cy.on('ready', options.ready); + } + + // bind all the ready handlers registered before creating this instance + for (var i = 0; i < readies.length; i++) { + var fn = readies[i]; + cy.on('ready', fn); + } + if (reg) { + reg.readies = []; + } // clear b/c we've bound them all and don't want to keep it around in case a new core uses the same div etc + + cy.emit('ready'); + }, options.done); + }); +}; +var corefn = Core.prototype; // short alias + +extend(corefn, { + instanceString: function instanceString() { + return 'core'; + }, + isReady: function isReady() { + return this._private.ready; + }, + destroyed: function destroyed() { + return this._private.destroyed; + }, + ready: function ready(fn) { + if (this.isReady()) { + this.emitter().emit('ready', [], fn); // just calls fn as though triggered via ready event + } else { + this.on('ready', fn); + } + return this; + }, + destroy: function destroy() { + var cy = this; + if (cy.destroyed()) return; + cy.stopAnimationLoop(); + cy.destroyRenderer(); + this.emit('destroy'); + cy._private.destroyed = true; + return cy; + }, + hasElementWithId: function hasElementWithId(id) { + return this._private.elements.hasElementWithId(id); + }, + getElementById: function getElementById(id) { + return this._private.elements.getElementById(id); + }, + hasCompoundNodes: function hasCompoundNodes() { + return this._private.hasCompoundNodes; + }, + headless: function headless() { + return this._private.renderer.isHeadless(); + }, + styleEnabled: function styleEnabled() { + return this._private.styleEnabled; + }, + addToPool: function addToPool(eles) { + this._private.elements.merge(eles); + return this; // chaining + }, + + removeFromPool: function removeFromPool(eles) { + this._private.elements.unmerge(eles); + return this; + }, + container: function container() { + return this._private.container || null; + }, + window: function window() { + var container = this._private.container; + if (container == null) return _window; + var ownerDocument = this._private.container.ownerDocument; + if (ownerDocument === undefined || ownerDocument == null) { + return _window; + } + return ownerDocument.defaultView || _window; + }, + mount: function mount(container) { + if (container == null) { + return; + } + var cy = this; + var _p = cy._private; + var options = _p.options; + if (!htmlElement(container) && htmlElement(container[0])) { + container = container[0]; + } + cy.stopAnimationLoop(); + cy.destroyRenderer(); + _p.container = container; + _p.styleEnabled = true; + cy.invalidateSize(); + cy.initRenderer(extend({}, options, options.renderer, { + // allow custom renderer name to be re-used, otherwise use canvas + name: options.renderer.name === 'null' ? 'canvas' : options.renderer.name + })); + cy.startAnimationLoop(); + cy.style(options.style); + cy.emit('mount'); + return cy; + }, + unmount: function unmount() { + var cy = this; + cy.stopAnimationLoop(); + cy.destroyRenderer(); + cy.initRenderer({ + name: 'null' + }); + cy.emit('unmount'); + return cy; + }, + options: function options() { + return copy(this._private.options); + }, + json: function json(obj) { + var cy = this; + var _p = cy._private; + var eles = cy.mutableElements(); + var getFreshRef = function getFreshRef(ele) { + return cy.getElementById(ele.id()); + }; + if (plainObject(obj)) { + // set + + cy.startBatch(); + if (obj.elements) { + var idInJson = {}; + var updateEles = function updateEles(jsons, gr) { + var toAdd = []; + var toMod = []; + for (var i = 0; i < jsons.length; i++) { + var json = jsons[i]; + if (!json.data.id) { + warn('cy.json() cannot handle elements without an ID attribute'); + continue; + } + var id = '' + json.data.id; // id must be string + var ele = cy.getElementById(id); + idInJson[id] = true; + if (ele.length !== 0) { + // existing element should be updated + toMod.push({ + ele: ele, + json: json + }); + } else { + // otherwise should be added + if (gr) { + json.group = gr; + toAdd.push(json); + } else { + toAdd.push(json); + } + } + } + cy.add(toAdd); + for (var _i = 0; _i < toMod.length; _i++) { + var _toMod$_i = toMod[_i], + _ele = _toMod$_i.ele, + _json = _toMod$_i.json; + _ele.json(_json); + } + }; + if (array(obj.elements)) { + // elements: [] + updateEles(obj.elements); + } else { + // elements: { nodes: [], edges: [] } + var grs = ['nodes', 'edges']; + for (var i = 0; i < grs.length; i++) { + var gr = grs[i]; + var elements = obj.elements[gr]; + if (array(elements)) { + updateEles(elements, gr); + } + } + } + var parentsToRemove = cy.collection(); + eles.filter(function (ele) { + return !idInJson[ele.id()]; + }).forEach(function (ele) { + if (ele.isParent()) { + parentsToRemove.merge(ele); + } else { + ele.remove(); + } + }); + + // so that children are not removed w/parent + parentsToRemove.forEach(function (ele) { + return ele.children().move({ + parent: null + }); + }); + + // intermediate parents may be moved by prior line, so make sure we remove by fresh refs + parentsToRemove.forEach(function (ele) { + return getFreshRef(ele).remove(); + }); + } + if (obj.style) { + cy.style(obj.style); + } + if (obj.zoom != null && obj.zoom !== _p.zoom) { + cy.zoom(obj.zoom); + } + if (obj.pan) { + if (obj.pan.x !== _p.pan.x || obj.pan.y !== _p.pan.y) { + cy.pan(obj.pan); + } + } + if (obj.data) { + cy.data(obj.data); + } + var fields = ['minZoom', 'maxZoom', 'zoomingEnabled', 'userZoomingEnabled', 'panningEnabled', 'userPanningEnabled', 'boxSelectionEnabled', 'autolock', 'autoungrabify', 'autounselectify', 'multiClickDebounceTime']; + for (var _i2 = 0; _i2 < fields.length; _i2++) { + var f = fields[_i2]; + if (obj[f] != null) { + cy[f](obj[f]); + } + } + cy.endBatch(); + return this; // chaining + } else { + // get + var flat = !!obj; + var json = {}; + if (flat) { + json.elements = this.elements().map(function (ele) { + return ele.json(); + }); + } else { + json.elements = {}; + eles.forEach(function (ele) { + var group = ele.group(); + if (!json.elements[group]) { + json.elements[group] = []; + } + json.elements[group].push(ele.json()); + }); + } + if (this._private.styleEnabled) { + json.style = cy.style().json(); + } + json.data = copy(cy.data()); + var options = _p.options; + json.zoomingEnabled = _p.zoomingEnabled; + json.userZoomingEnabled = _p.userZoomingEnabled; + json.zoom = _p.zoom; + json.minZoom = _p.minZoom; + json.maxZoom = _p.maxZoom; + json.panningEnabled = _p.panningEnabled; + json.userPanningEnabled = _p.userPanningEnabled; + json.pan = copy(_p.pan); + json.boxSelectionEnabled = _p.boxSelectionEnabled; + json.renderer = copy(options.renderer); + json.hideEdgesOnViewport = options.hideEdgesOnViewport; + json.textureOnViewport = options.textureOnViewport; + json.wheelSensitivity = options.wheelSensitivity; + json.motionBlur = options.motionBlur; + json.multiClickDebounceTime = options.multiClickDebounceTime; + return json; + } + } +}); +corefn.$id = corefn.getElementById; +[corefn$9, corefn$8, elesfn, corefn$7, corefn$6, corefn$5, corefn$4, corefn$3, corefn$2, corefn$1, fn].forEach(function (props) { + extend(corefn, props); +}); + +/* eslint-disable no-unused-vars */ +var defaults$7 = { + fit: true, + // whether to fit the viewport to the graph + directed: false, + // whether the tree is directed downwards (or edges can point in any direction if false) + padding: 30, + // padding on fit + circle: false, + // put depths in concentric circles if true, put depths top down if false + grid: false, + // whether to create an even grid into which the DAG is placed (circle:false only) + spacingFactor: 1.75, + // positive spacing factor, larger => more space between nodes (N.B. n/a if causes overlap) + boundingBox: undefined, + // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } + avoidOverlap: true, + // prevents node overlap, may overflow boundingBox if not enough space + nodeDimensionsIncludeLabels: false, + // Excludes the label when calculating node bounding boxes for the layout algorithm + roots: undefined, + // the roots of the trees + depthSort: undefined, + // a sorting function to order nodes at equal depth. e.g. function(a, b){ return a.data('weight') - b.data('weight') } + animate: false, + // whether to transition the node positions + animationDuration: 500, + // duration of animation in ms if enabled + animationEasing: undefined, + // easing of animation if enabled, + animateFilter: function animateFilter(node, i) { + return true; + }, + // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts + ready: undefined, + // callback on layoutready + stop: undefined, + // callback on layoutstop + transform: function transform(node, position) { + return position; + } // transform a given node position. Useful for changing flow direction in discrete layouts +}; + +var deprecatedOptionDefaults = { + maximal: false, + // whether to shift nodes down their natural BFS depths in order to avoid upwards edges (DAGS only); setting acyclic to true sets maximal to true also + acyclic: false // whether the tree is acyclic and thus a node could be shifted (due to the maximal option) multiple times without causing an infinite loop; setting to true sets maximal to true also; if you are uncertain whether a tree is acyclic, set to false to avoid potential infinite loops +}; + +/* eslint-enable */ + +var getInfo = function getInfo(ele) { + return ele.scratch('breadthfirst'); +}; +var setInfo = function setInfo(ele, obj) { + return ele.scratch('breadthfirst', obj); +}; +function BreadthFirstLayout(options) { + this.options = extend({}, defaults$7, deprecatedOptionDefaults, options); +} +BreadthFirstLayout.prototype.run = function () { + var params = this.options; + var options = params; + var cy = params.cy; + var eles = options.eles; + var nodes = eles.nodes().filter(function (n) { + return !n.isParent(); + }); + var graph = eles; + var directed = options.directed; + var maximal = options.acyclic || options.maximal || options.maximalAdjustments > 0; // maximalAdjustments for compat. w/ old code; also, setting acyclic to true sets maximal to true + + var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { + x1: 0, + y1: 0, + w: cy.width(), + h: cy.height() + }); + var roots; + if (elementOrCollection(options.roots)) { + roots = options.roots; + } else if (array(options.roots)) { + var rootsArray = []; + for (var i = 0; i < options.roots.length; i++) { + var id = options.roots[i]; + var ele = cy.getElementById(id); + rootsArray.push(ele); + } + roots = cy.collection(rootsArray); + } else if (string(options.roots)) { + roots = cy.$(options.roots); + } else { + if (directed) { + roots = nodes.roots(); + } else { + var components = eles.components(); + roots = cy.collection(); + var _loop = function _loop(_i) { + var comp = components[_i]; + var maxDegree = comp.maxDegree(false); + var compRoots = comp.filter(function (ele) { + return ele.degree(false) === maxDegree; + }); + roots = roots.add(compRoots); + }; + for (var _i = 0; _i < components.length; _i++) { + _loop(_i); + } + } + } + var depths = []; + var foundByBfs = {}; + var addToDepth = function addToDepth(ele, d) { + if (depths[d] == null) { + depths[d] = []; + } + var i = depths[d].length; + depths[d].push(ele); + setInfo(ele, { + index: i, + depth: d + }); + }; + var changeDepth = function changeDepth(ele, newDepth) { + var _getInfo = getInfo(ele), + depth = _getInfo.depth, + index = _getInfo.index; + depths[depth][index] = null; + addToDepth(ele, newDepth); + }; + + // find the depths of the nodes + graph.bfs({ + roots: roots, + directed: options.directed, + visit: function visit(node, edge, pNode, i, depth) { + var ele = node[0]; + var id = ele.id(); + addToDepth(ele, depth); + foundByBfs[id] = true; + } + }); + + // check for nodes not found by bfs + var orphanNodes = []; + for (var _i2 = 0; _i2 < nodes.length; _i2++) { + var _ele = nodes[_i2]; + if (foundByBfs[_ele.id()]) { + continue; + } else { + orphanNodes.push(_ele); + } + } + + // assign the nodes a depth and index + + var assignDepthsAt = function assignDepthsAt(i) { + var eles = depths[i]; + for (var j = 0; j < eles.length; j++) { + var _ele2 = eles[j]; + if (_ele2 == null) { + eles.splice(j, 1); + j--; + continue; + } + setInfo(_ele2, { + depth: i, + index: j + }); + } + }; + var assignDepths = function assignDepths() { + for (var _i3 = 0; _i3 < depths.length; _i3++) { + assignDepthsAt(_i3); + } + }; + var adjustMaximally = function adjustMaximally(ele, shifted) { + var eInfo = getInfo(ele); + var incomers = ele.incomers().filter(function (el) { + return el.isNode() && eles.has(el); + }); + var maxDepth = -1; + var id = ele.id(); + for (var k = 0; k < incomers.length; k++) { + var incmr = incomers[k]; + var iInfo = getInfo(incmr); + maxDepth = Math.max(maxDepth, iInfo.depth); + } + if (eInfo.depth <= maxDepth) { + if (!options.acyclic && shifted[id]) { + return null; + } + var newDepth = maxDepth + 1; + changeDepth(ele, newDepth); + shifted[id] = newDepth; + return true; + } + return false; + }; + + // for the directed case, try to make the edges all go down (i.e. depth i => depth i + 1) + if (directed && maximal) { + var Q = []; + var shifted = {}; + var enqueue = function enqueue(n) { + return Q.push(n); + }; + var dequeue = function dequeue() { + return Q.shift(); + }; + nodes.forEach(function (n) { + return Q.push(n); + }); + while (Q.length > 0) { + var _ele3 = dequeue(); + var didShift = adjustMaximally(_ele3, shifted); + if (didShift) { + _ele3.outgoers().filter(function (el) { + return el.isNode() && eles.has(el); + }).forEach(enqueue); + } else if (didShift === null) { + warn('Detected double maximal shift for node `' + _ele3.id() + '`. Bailing maximal adjustment due to cycle. Use `options.maximal: true` only on DAGs.'); + break; // exit on failure + } + } + } + + assignDepths(); // clear holes + + // find min distance we need to leave between nodes + var minDistance = 0; + if (options.avoidOverlap) { + for (var _i4 = 0; _i4 < nodes.length; _i4++) { + var n = nodes[_i4]; + var nbb = n.layoutDimensions(options); + var w = nbb.w; + var h = nbb.h; + minDistance = Math.max(minDistance, w, h); + } + } + + // get the weighted percent for an element based on its connectivity to other levels + var cachedWeightedPercent = {}; + var getWeightedPercent = function getWeightedPercent(ele) { + if (cachedWeightedPercent[ele.id()]) { + return cachedWeightedPercent[ele.id()]; + } + var eleDepth = getInfo(ele).depth; + var neighbors = ele.neighborhood(); + var percent = 0; + var samples = 0; + for (var _i5 = 0; _i5 < neighbors.length; _i5++) { + var neighbor = neighbors[_i5]; + if (neighbor.isEdge() || neighbor.isParent() || !nodes.has(neighbor)) { + continue; + } + var bf = getInfo(neighbor); + if (bf == null) { + continue; + } + var index = bf.index; + var depth = bf.depth; + + // unassigned neighbours shouldn't affect the ordering + if (index == null || depth == null) { + continue; + } + var nDepth = depths[depth].length; + if (depth < eleDepth) { + // only get influenced by elements above + percent += index / nDepth; + samples++; + } + } + samples = Math.max(1, samples); + percent = percent / samples; + if (samples === 0) { + // put lone nodes at the start + percent = 0; + } + cachedWeightedPercent[ele.id()] = percent; + return percent; + }; + + // rearrange the indices in each depth level based on connectivity + + var sortFn = function sortFn(a, b) { + var apct = getWeightedPercent(a); + var bpct = getWeightedPercent(b); + var diff = apct - bpct; + if (diff === 0) { + return ascending(a.id(), b.id()); // make sure sort doesn't have don't-care comparisons + } else { + return diff; + } + }; + if (options.depthSort !== undefined) { + sortFn = options.depthSort; + } + + // sort each level to make connected nodes closer + for (var _i6 = 0; _i6 < depths.length; _i6++) { + depths[_i6].sort(sortFn); + assignDepthsAt(_i6); + } + + // assign orphan nodes to a new top-level depth + var orphanDepth = []; + for (var _i7 = 0; _i7 < orphanNodes.length; _i7++) { + orphanDepth.push(orphanNodes[_i7]); + } + depths.unshift(orphanDepth); + assignDepths(); + var biggestDepthSize = 0; + for (var _i8 = 0; _i8 < depths.length; _i8++) { + biggestDepthSize = Math.max(depths[_i8].length, biggestDepthSize); + } + var center = { + x: bb.x1 + bb.w / 2, + y: bb.x1 + bb.h / 2 + }; + var maxDepthSize = depths.reduce(function (max, eles) { + return Math.max(max, eles.length); + }, 0); + var getPosition = function getPosition(ele) { + var _getInfo2 = getInfo(ele), + depth = _getInfo2.depth, + index = _getInfo2.index; + var depthSize = depths[depth].length; + var distanceX = Math.max(bb.w / ((options.grid ? maxDepthSize : depthSize) + 1), minDistance); + var distanceY = Math.max(bb.h / (depths.length + 1), minDistance); + var radiusStepSize = Math.min(bb.w / 2 / depths.length, bb.h / 2 / depths.length); + radiusStepSize = Math.max(radiusStepSize, minDistance); + if (!options.circle) { + var epos = { + x: center.x + (index + 1 - (depthSize + 1) / 2) * distanceX, + y: (depth + 1) * distanceY + }; + return epos; + } else { + var radius = radiusStepSize * depth + radiusStepSize - (depths.length > 0 && depths[0].length <= 3 ? radiusStepSize / 2 : 0); + var theta = 2 * Math.PI / depths[depth].length * index; + if (depth === 0 && depths[0].length === 1) { + radius = 1; + } + return { + x: center.x + radius * Math.cos(theta), + y: center.y + radius * Math.sin(theta) + }; + } + }; + eles.nodes().layoutPositions(this, options, getPosition); + return this; // chaining +}; + +var defaults$6 = { + fit: true, + // whether to fit the viewport to the graph + padding: 30, + // the padding on fit + boundingBox: undefined, + // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } + avoidOverlap: true, + // prevents node overlap, may overflow boundingBox and radius if not enough space + nodeDimensionsIncludeLabels: false, + // Excludes the label when calculating node bounding boxes for the layout algorithm + spacingFactor: undefined, + // Applies a multiplicative factor (>0) to expand or compress the overall area that the nodes take up + radius: undefined, + // the radius of the circle + startAngle: 3 / 2 * Math.PI, + // where nodes start in radians + sweep: undefined, + // how many radians should be between the first and last node (defaults to full circle) + clockwise: true, + // whether the layout should go clockwise (true) or counterclockwise/anticlockwise (false) + sort: undefined, + // a sorting function to order the nodes; e.g. function(a, b){ return a.data('weight') - b.data('weight') } + animate: false, + // whether to transition the node positions + animationDuration: 500, + // duration of animation in ms if enabled + animationEasing: undefined, + // easing of animation if enabled + animateFilter: function animateFilter(node, i) { + return true; + }, + // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts + ready: undefined, + // callback on layoutready + stop: undefined, + // callback on layoutstop + transform: function transform(node, position) { + return position; + } // transform a given node position. Useful for changing flow direction in discrete layouts +}; + +function CircleLayout(options) { + this.options = extend({}, defaults$6, options); +} +CircleLayout.prototype.run = function () { + var params = this.options; + var options = params; + var cy = params.cy; + var eles = options.eles; + var clockwise = options.counterclockwise !== undefined ? !options.counterclockwise : options.clockwise; + var nodes = eles.nodes().not(':parent'); + if (options.sort) { + nodes = nodes.sort(options.sort); + } + var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { + x1: 0, + y1: 0, + w: cy.width(), + h: cy.height() + }); + var center = { + x: bb.x1 + bb.w / 2, + y: bb.y1 + bb.h / 2 + }; + var sweep = options.sweep === undefined ? 2 * Math.PI - 2 * Math.PI / nodes.length : options.sweep; + var dTheta = sweep / Math.max(1, nodes.length - 1); + var r; + var minDistance = 0; + for (var i = 0; i < nodes.length; i++) { + var n = nodes[i]; + var nbb = n.layoutDimensions(options); + var w = nbb.w; + var h = nbb.h; + minDistance = Math.max(minDistance, w, h); + } + if (number$1(options.radius)) { + r = options.radius; + } else if (nodes.length <= 1) { + r = 0; + } else { + r = Math.min(bb.h, bb.w) / 2 - minDistance; + } + + // calculate the radius + if (nodes.length > 1 && options.avoidOverlap) { + // but only if more than one node (can't overlap) + minDistance *= 1.75; // just to have some nice spacing + + var dcos = Math.cos(dTheta) - Math.cos(0); + var dsin = Math.sin(dTheta) - Math.sin(0); + var rMin = Math.sqrt(minDistance * minDistance / (dcos * dcos + dsin * dsin)); // s.t. no nodes overlapping + r = Math.max(rMin, r); + } + var getPos = function getPos(ele, i) { + var theta = options.startAngle + i * dTheta * (clockwise ? 1 : -1); + var rx = r * Math.cos(theta); + var ry = r * Math.sin(theta); + var pos = { + x: center.x + rx, + y: center.y + ry + }; + return pos; + }; + eles.nodes().layoutPositions(this, options, getPos); + return this; // chaining +}; + +var defaults$5 = { + fit: true, + // whether to fit the viewport to the graph + padding: 30, + // the padding on fit + startAngle: 3 / 2 * Math.PI, + // where nodes start in radians + sweep: undefined, + // how many radians should be between the first and last node (defaults to full circle) + clockwise: true, + // whether the layout should go clockwise (true) or counterclockwise/anticlockwise (false) + equidistant: false, + // whether levels have an equal radial distance betwen them, may cause bounding box overflow + minNodeSpacing: 10, + // min spacing between outside of nodes (used for radius adjustment) + boundingBox: undefined, + // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } + avoidOverlap: true, + // prevents node overlap, may overflow boundingBox if not enough space + nodeDimensionsIncludeLabels: false, + // Excludes the label when calculating node bounding boxes for the layout algorithm + height: undefined, + // height of layout area (overrides container height) + width: undefined, + // width of layout area (overrides container width) + spacingFactor: undefined, + // Applies a multiplicative factor (>0) to expand or compress the overall area that the nodes take up + concentric: function concentric(node) { + // returns numeric value for each node, placing higher nodes in levels towards the centre + return node.degree(); + }, + levelWidth: function levelWidth(nodes) { + // the variation of concentric values in each level + return nodes.maxDegree() / 4; + }, + animate: false, + // whether to transition the node positions + animationDuration: 500, + // duration of animation in ms if enabled + animationEasing: undefined, + // easing of animation if enabled + animateFilter: function animateFilter(node, i) { + return true; + }, + // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts + ready: undefined, + // callback on layoutready + stop: undefined, + // callback on layoutstop + transform: function transform(node, position) { + return position; + } // transform a given node position. Useful for changing flow direction in discrete layouts +}; + +function ConcentricLayout(options) { + this.options = extend({}, defaults$5, options); +} +ConcentricLayout.prototype.run = function () { + var params = this.options; + var options = params; + var clockwise = options.counterclockwise !== undefined ? !options.counterclockwise : options.clockwise; + var cy = params.cy; + var eles = options.eles; + var nodes = eles.nodes().not(':parent'); + var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { + x1: 0, + y1: 0, + w: cy.width(), + h: cy.height() + }); + var center = { + x: bb.x1 + bb.w / 2, + y: bb.y1 + bb.h / 2 + }; + var nodeValues = []; // { node, value } + var maxNodeSize = 0; + for (var i = 0; i < nodes.length; i++) { + var node = nodes[i]; + var value = void 0; + + // calculate the node value + value = options.concentric(node); + nodeValues.push({ + value: value, + node: node + }); + + // for style mapping + node._private.scratch.concentric = value; + } + + // in case we used the `concentric` in style + nodes.updateStyle(); + + // calculate max size now based on potentially updated mappers + for (var _i = 0; _i < nodes.length; _i++) { + var _node = nodes[_i]; + var nbb = _node.layoutDimensions(options); + maxNodeSize = Math.max(maxNodeSize, nbb.w, nbb.h); + } + + // sort node values in descreasing order + nodeValues.sort(function (a, b) { + return b.value - a.value; + }); + var levelWidth = options.levelWidth(nodes); + + // put the values into levels + var levels = [[]]; + var currentLevel = levels[0]; + for (var _i2 = 0; _i2 < nodeValues.length; _i2++) { + var val = nodeValues[_i2]; + if (currentLevel.length > 0) { + var diff = Math.abs(currentLevel[0].value - val.value); + if (diff >= levelWidth) { + currentLevel = []; + levels.push(currentLevel); + } + } + currentLevel.push(val); + } + + // create positions from levels + + var minDist = maxNodeSize + options.minNodeSpacing; // min dist between nodes + + if (!options.avoidOverlap) { + // then strictly constrain to bb + var firstLvlHasMulti = levels.length > 0 && levels[0].length > 1; + var maxR = Math.min(bb.w, bb.h) / 2 - minDist; + var rStep = maxR / (levels.length + firstLvlHasMulti ? 1 : 0); + minDist = Math.min(minDist, rStep); + } + + // find the metrics for each level + var r = 0; + for (var _i3 = 0; _i3 < levels.length; _i3++) { + var level = levels[_i3]; + var sweep = options.sweep === undefined ? 2 * Math.PI - 2 * Math.PI / level.length : options.sweep; + var dTheta = level.dTheta = sweep / Math.max(1, level.length - 1); + + // calculate the radius + if (level.length > 1 && options.avoidOverlap) { + // but only if more than one node (can't overlap) + var dcos = Math.cos(dTheta) - Math.cos(0); + var dsin = Math.sin(dTheta) - Math.sin(0); + var rMin = Math.sqrt(minDist * minDist / (dcos * dcos + dsin * dsin)); // s.t. no nodes overlapping + + r = Math.max(rMin, r); + } + level.r = r; + r += minDist; + } + if (options.equidistant) { + var rDeltaMax = 0; + var _r = 0; + for (var _i4 = 0; _i4 < levels.length; _i4++) { + var _level = levels[_i4]; + var rDelta = _level.r - _r; + rDeltaMax = Math.max(rDeltaMax, rDelta); + } + _r = 0; + for (var _i5 = 0; _i5 < levels.length; _i5++) { + var _level2 = levels[_i5]; + if (_i5 === 0) { + _r = _level2.r; + } + _level2.r = _r; + _r += rDeltaMax; + } + } + + // calculate the node positions + var pos = {}; // id => position + for (var _i6 = 0; _i6 < levels.length; _i6++) { + var _level3 = levels[_i6]; + var _dTheta = _level3.dTheta; + var _r2 = _level3.r; + for (var j = 0; j < _level3.length; j++) { + var _val = _level3[j]; + var theta = options.startAngle + (clockwise ? 1 : -1) * _dTheta * j; + var p = { + x: center.x + _r2 * Math.cos(theta), + y: center.y + _r2 * Math.sin(theta) + }; + pos[_val.node.id()] = p; + } + } + + // position the nodes + eles.nodes().layoutPositions(this, options, function (ele) { + var id = ele.id(); + return pos[id]; + }); + return this; // chaining +}; + +/* +The CoSE layout was written by Gerardo Huck. +https://www.linkedin.com/in/gerardohuck/ + +Based on the following article: +http://dl.acm.org/citation.cfm?id=1498047 + +Modifications tracked on Github. +*/ +var DEBUG; + +/** + * @brief : default layout options + */ +var defaults$4 = { + // Called on `layoutready` + ready: function ready() {}, + // Called on `layoutstop` + stop: function stop() {}, + // Whether to animate while running the layout + // true : Animate continuously as the layout is running + // false : Just show the end result + // 'end' : Animate with the end result, from the initial positions to the end positions + animate: true, + // Easing of the animation for animate:'end' + animationEasing: undefined, + // The duration of the animation for animate:'end' + animationDuration: undefined, + // A function that determines whether the node should be animated + // All nodes animated by default on animate enabled + // Non-animated nodes are positioned immediately when the layout starts + animateFilter: function animateFilter(node, i) { + return true; + }, + // The layout animates only after this many milliseconds for animate:true + // (prevents flashing on fast runs) + animationThreshold: 250, + // Number of iterations between consecutive screen positions update + refresh: 20, + // Whether to fit the network view after when done + fit: true, + // Padding on fit + padding: 30, + // Constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } + boundingBox: undefined, + // Excludes the label when calculating node bounding boxes for the layout algorithm + nodeDimensionsIncludeLabels: false, + // Randomize the initial positions of the nodes (true) or use existing positions (false) + randomize: false, + // Extra spacing between components in non-compound graphs + componentSpacing: 40, + // Node repulsion (non overlapping) multiplier + nodeRepulsion: function nodeRepulsion(node) { + return 2048; + }, + // Node repulsion (overlapping) multiplier + nodeOverlap: 4, + // Ideal edge (non nested) length + idealEdgeLength: function idealEdgeLength(edge) { + return 32; + }, + // Divisor to compute edge forces + edgeElasticity: function edgeElasticity(edge) { + return 32; + }, + // Nesting factor (multiplier) to compute ideal edge length for nested edges + nestingFactor: 1.2, + // Gravity force (constant) + gravity: 1, + // Maximum number of iterations to perform + numIter: 1000, + // Initial temperature (maximum node displacement) + initialTemp: 1000, + // Cooling factor (how the temperature is reduced between consecutive iterations + coolingFactor: 0.99, + // Lower temperature threshold (below this point the layout will end) + minTemp: 1.0 +}; + +/** + * @brief : constructor + * @arg options : object containing layout options + */ +function CoseLayout(options) { + this.options = extend({}, defaults$4, options); + this.options.layout = this; + + // Exclude any edge that has a source or target node that is not in the set of passed-in nodes + var nodes = this.options.eles.nodes(); + var edges = this.options.eles.edges(); + var notEdges = edges.filter(function (e) { + var sourceId = e.source().data('id'); + var targetId = e.target().data('id'); + var hasSource = nodes.some(function (n) { + return n.data('id') === sourceId; + }); + var hasTarget = nodes.some(function (n) { + return n.data('id') === targetId; + }); + return !hasSource || !hasTarget; + }); + this.options.eles = this.options.eles.not(notEdges); +} + +/** + * @brief : runs the layout + */ +CoseLayout.prototype.run = function () { + var options = this.options; + var cy = options.cy; + var layout = this; + layout.stopped = false; + if (options.animate === true || options.animate === false) { + layout.emit({ + type: 'layoutstart', + layout: layout + }); + } + + // Set DEBUG - Global variable + if (true === options.debug) { + DEBUG = true; + } else { + DEBUG = false; + } + + // Initialize layout info + var layoutInfo = createLayoutInfo(cy, layout, options); + + // Show LayoutInfo contents if debugging + if (DEBUG) { + printLayoutInfo(layoutInfo); + } + + // If required, randomize node positions + if (options.randomize) { + randomizePositions(layoutInfo); + } + var startTime = performanceNow(); + var refresh = function refresh() { + refreshPositions(layoutInfo, cy, options); + + // Fit the graph if necessary + if (true === options.fit) { + cy.fit(options.padding); + } + }; + var mainLoop = function mainLoop(i) { + if (layout.stopped || i >= options.numIter) { + // logDebug("Layout manually stopped. Stopping computation in step " + i); + return false; + } + + // Do one step in the phisical simulation + step(layoutInfo, options); + + // Update temperature + layoutInfo.temperature = layoutInfo.temperature * options.coolingFactor; + // logDebug("New temperature: " + layoutInfo.temperature); + + if (layoutInfo.temperature < options.minTemp) { + // logDebug("Temperature drop below minimum threshold. Stopping computation in step " + i); + return false; + } + return true; + }; + var done = function done() { + if (options.animate === true || options.animate === false) { + refresh(); + + // Layout has finished + layout.one('layoutstop', options.stop); + layout.emit({ + type: 'layoutstop', + layout: layout + }); + } else { + var nodes = options.eles.nodes(); + var getScaledPos = getScaleInBoundsFn(layoutInfo, options, nodes); + nodes.layoutPositions(layout, options, getScaledPos); + } + }; + var i = 0; + var loopRet = true; + if (options.animate === true) { + var frame = function frame() { + var f = 0; + while (loopRet && f < options.refresh) { + loopRet = mainLoop(i); + i++; + f++; + } + if (!loopRet) { + // it's done + separateComponents(layoutInfo, options); + done(); + } else { + var now = performanceNow(); + if (now - startTime >= options.animationThreshold) { + refresh(); + } + requestAnimationFrame(frame); + } + }; + frame(); + } else { + while (loopRet) { + loopRet = mainLoop(i); + i++; + } + separateComponents(layoutInfo, options); + done(); + } + return this; // chaining +}; + +/** + * @brief : called on continuous layouts to stop them before they finish + */ +CoseLayout.prototype.stop = function () { + this.stopped = true; + if (this.thread) { + this.thread.stop(); + } + this.emit('layoutstop'); + return this; // chaining +}; + +CoseLayout.prototype.destroy = function () { + if (this.thread) { + this.thread.stop(); + } + return this; // chaining +}; + +/** + * @brief : Creates an object which is contains all the data + * used in the layout process + * @arg cy : cytoscape.js object + * @return : layoutInfo object initialized + */ +var createLayoutInfo = function createLayoutInfo(cy, layout, options) { + // Shortcut + var edges = options.eles.edges(); + var nodes = options.eles.nodes(); + var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { + x1: 0, + y1: 0, + w: cy.width(), + h: cy.height() + }); + var layoutInfo = { + isCompound: cy.hasCompoundNodes(), + layoutNodes: [], + idToIndex: {}, + nodeSize: nodes.size(), + graphSet: [], + indexToGraph: [], + layoutEdges: [], + edgeSize: edges.size(), + temperature: options.initialTemp, + clientWidth: bb.w, + clientHeight: bb.h, + boundingBox: bb + }; + var components = options.eles.components(); + var id2cmptId = {}; + for (var i = 0; i < components.length; i++) { + var component = components[i]; + for (var j = 0; j < component.length; j++) { + var node = component[j]; + id2cmptId[node.id()] = i; + } + } + + // Iterate over all nodes, creating layout nodes + for (var i = 0; i < layoutInfo.nodeSize; i++) { + var n = nodes[i]; + var nbb = n.layoutDimensions(options); + var tempNode = {}; + tempNode.isLocked = n.locked(); + tempNode.id = n.data('id'); + tempNode.parentId = n.data('parent'); + tempNode.cmptId = id2cmptId[n.id()]; + tempNode.children = []; + tempNode.positionX = n.position('x'); + tempNode.positionY = n.position('y'); + tempNode.offsetX = 0; + tempNode.offsetY = 0; + tempNode.height = nbb.w; + tempNode.width = nbb.h; + tempNode.maxX = tempNode.positionX + tempNode.width / 2; + tempNode.minX = tempNode.positionX - tempNode.width / 2; + tempNode.maxY = tempNode.positionY + tempNode.height / 2; + tempNode.minY = tempNode.positionY - tempNode.height / 2; + tempNode.padLeft = parseFloat(n.style('padding')); + tempNode.padRight = parseFloat(n.style('padding')); + tempNode.padTop = parseFloat(n.style('padding')); + tempNode.padBottom = parseFloat(n.style('padding')); + + // forces + tempNode.nodeRepulsion = fn$6(options.nodeRepulsion) ? options.nodeRepulsion(n) : options.nodeRepulsion; + + // Add new node + layoutInfo.layoutNodes.push(tempNode); + // Add entry to id-index map + layoutInfo.idToIndex[tempNode.id] = i; + } + + // Inline implementation of a queue, used for traversing the graph in BFS order + var queue = []; + var start = 0; // Points to the start the queue + var end = -1; // Points to the end of the queue + + var tempGraph = []; + + // Second pass to add child information and + // initialize queue for hierarchical traversal + for (var i = 0; i < layoutInfo.nodeSize; i++) { + var n = layoutInfo.layoutNodes[i]; + var p_id = n.parentId; + // Check if node n has a parent node + if (null != p_id) { + // Add node Id to parent's list of children + layoutInfo.layoutNodes[layoutInfo.idToIndex[p_id]].children.push(n.id); + } else { + // If a node doesn't have a parent, then it's in the root graph + queue[++end] = n.id; + tempGraph.push(n.id); + } + } + + // Add root graph to graphSet + layoutInfo.graphSet.push(tempGraph); + + // Traverse the graph, level by level, + while (start <= end) { + // Get the node to visit and remove it from queue + var node_id = queue[start++]; + var node_ix = layoutInfo.idToIndex[node_id]; + var node = layoutInfo.layoutNodes[node_ix]; + var children = node.children; + if (children.length > 0) { + // Add children nodes as a new graph to graph set + layoutInfo.graphSet.push(children); + // Add children to que queue to be visited + for (var i = 0; i < children.length; i++) { + queue[++end] = children[i]; + } + } + } + + // Create indexToGraph map + for (var i = 0; i < layoutInfo.graphSet.length; i++) { + var graph = layoutInfo.graphSet[i]; + for (var j = 0; j < graph.length; j++) { + var index = layoutInfo.idToIndex[graph[j]]; + layoutInfo.indexToGraph[index] = i; + } + } + + // Iterate over all edges, creating Layout Edges + for (var i = 0; i < layoutInfo.edgeSize; i++) { + var e = edges[i]; + var tempEdge = {}; + tempEdge.id = e.data('id'); + tempEdge.sourceId = e.data('source'); + tempEdge.targetId = e.data('target'); + + // Compute ideal length + var idealLength = fn$6(options.idealEdgeLength) ? options.idealEdgeLength(e) : options.idealEdgeLength; + var elasticity = fn$6(options.edgeElasticity) ? options.edgeElasticity(e) : options.edgeElasticity; + + // Check if it's an inter graph edge + var sourceIx = layoutInfo.idToIndex[tempEdge.sourceId]; + var targetIx = layoutInfo.idToIndex[tempEdge.targetId]; + var sourceGraph = layoutInfo.indexToGraph[sourceIx]; + var targetGraph = layoutInfo.indexToGraph[targetIx]; + if (sourceGraph != targetGraph) { + // Find lowest common graph ancestor + var lca = findLCA(tempEdge.sourceId, tempEdge.targetId, layoutInfo); + + // Compute sum of node depths, relative to lca graph + var lcaGraph = layoutInfo.graphSet[lca]; + var depth = 0; + + // Source depth + var tempNode = layoutInfo.layoutNodes[sourceIx]; + while (-1 === lcaGraph.indexOf(tempNode.id)) { + tempNode = layoutInfo.layoutNodes[layoutInfo.idToIndex[tempNode.parentId]]; + depth++; + } + + // Target depth + tempNode = layoutInfo.layoutNodes[targetIx]; + while (-1 === lcaGraph.indexOf(tempNode.id)) { + tempNode = layoutInfo.layoutNodes[layoutInfo.idToIndex[tempNode.parentId]]; + depth++; + } + + // logDebug('LCA of nodes ' + tempEdge.sourceId + ' and ' + tempEdge.targetId + + // ". Index: " + lca + " Contents: " + lcaGraph.toString() + + // ". Depth: " + depth); + + // Update idealLength + idealLength *= depth * options.nestingFactor; + } + tempEdge.idealLength = idealLength; + tempEdge.elasticity = elasticity; + layoutInfo.layoutEdges.push(tempEdge); + } + + // Finally, return layoutInfo object + return layoutInfo; +}; + +/** + * @brief : This function finds the index of the lowest common + * graph ancestor between 2 nodes in the subtree + * (from the graph hierarchy induced tree) whose + * root is graphIx + * + * @arg node1: node1's ID + * @arg node2: node2's ID + * @arg layoutInfo: layoutInfo object + * + */ +var findLCA = function findLCA(node1, node2, layoutInfo) { + // Find their common ancester, starting from the root graph + var res = findLCA_aux(node1, node2, 0, layoutInfo); + if (2 > res.count) { + // If aux function couldn't find the common ancester, + // then it is the root graph + return 0; + } else { + return res.graph; + } +}; + +/** + * @brief : Auxiliary function used for LCA computation + * + * @arg node1 : node1's ID + * @arg node2 : node2's ID + * @arg graphIx : subgraph index + * @arg layoutInfo : layoutInfo object + * + * @return : object of the form {count: X, graph: Y}, where: + * X is the number of ancestors (max: 2) found in + * graphIx (and it's subgraphs), + * Y is the graph index of the lowest graph containing + * all X nodes + */ +var findLCA_aux = function findLCA_aux(node1, node2, graphIx, layoutInfo) { + var graph = layoutInfo.graphSet[graphIx]; + // If both nodes belongs to graphIx + if (-1 < graph.indexOf(node1) && -1 < graph.indexOf(node2)) { + return { + count: 2, + graph: graphIx + }; + } + + // Make recursive calls for all subgraphs + var c = 0; + for (var i = 0; i < graph.length; i++) { + var nodeId = graph[i]; + var nodeIx = layoutInfo.idToIndex[nodeId]; + var children = layoutInfo.layoutNodes[nodeIx].children; + + // If the node has no child, skip it + if (0 === children.length) { + continue; + } + var childGraphIx = layoutInfo.indexToGraph[layoutInfo.idToIndex[children[0]]]; + var result = findLCA_aux(node1, node2, childGraphIx, layoutInfo); + if (0 === result.count) { + // Neither node1 nor node2 are present in this subgraph + continue; + } else if (1 === result.count) { + // One of (node1, node2) is present in this subgraph + c++; + if (2 === c) { + // We've already found both nodes, no need to keep searching + break; + } + } else { + // Both nodes are present in this subgraph + return result; + } + } + return { + count: c, + graph: graphIx + }; +}; + +/** + * @brief: printsLayoutInfo into js console + * Only used for debbuging + */ +var printLayoutInfo; + +/** + * @brief : Randomizes the position of all nodes + */ +var randomizePositions = function randomizePositions(layoutInfo, cy) { + var width = layoutInfo.clientWidth; + var height = layoutInfo.clientHeight; + for (var i = 0; i < layoutInfo.nodeSize; i++) { + var n = layoutInfo.layoutNodes[i]; + + // No need to randomize compound nodes or locked nodes + if (0 === n.children.length && !n.isLocked) { + n.positionX = Math.random() * width; + n.positionY = Math.random() * height; + } + } +}; +var getScaleInBoundsFn = function getScaleInBoundsFn(layoutInfo, options, nodes) { + var bb = layoutInfo.boundingBox; + var coseBB = { + x1: Infinity, + x2: -Infinity, + y1: Infinity, + y2: -Infinity + }; + if (options.boundingBox) { + nodes.forEach(function (node) { + var lnode = layoutInfo.layoutNodes[layoutInfo.idToIndex[node.data('id')]]; + coseBB.x1 = Math.min(coseBB.x1, lnode.positionX); + coseBB.x2 = Math.max(coseBB.x2, lnode.positionX); + coseBB.y1 = Math.min(coseBB.y1, lnode.positionY); + coseBB.y2 = Math.max(coseBB.y2, lnode.positionY); + }); + coseBB.w = coseBB.x2 - coseBB.x1; + coseBB.h = coseBB.y2 - coseBB.y1; + } + return function (ele, i) { + var lnode = layoutInfo.layoutNodes[layoutInfo.idToIndex[ele.data('id')]]; + if (options.boundingBox) { + // then add extra bounding box constraint + var pctX = (lnode.positionX - coseBB.x1) / coseBB.w; + var pctY = (lnode.positionY - coseBB.y1) / coseBB.h; + return { + x: bb.x1 + pctX * bb.w, + y: bb.y1 + pctY * bb.h + }; + } else { + return { + x: lnode.positionX, + y: lnode.positionY + }; + } + }; +}; + +/** + * @brief : Updates the positions of nodes in the network + * @arg layoutInfo : LayoutInfo object + * @arg cy : Cytoscape object + * @arg options : Layout options + */ +var refreshPositions = function refreshPositions(layoutInfo, cy, options) { + // var s = 'Refreshing positions'; + // logDebug(s); + + var layout = options.layout; + var nodes = options.eles.nodes(); + var getScaledPos = getScaleInBoundsFn(layoutInfo, options, nodes); + nodes.positions(getScaledPos); + + // Trigger layoutReady only on first call + if (true !== layoutInfo.ready) { + // s = 'Triggering layoutready'; + // logDebug(s); + layoutInfo.ready = true; + layout.one('layoutready', options.ready); + layout.emit({ + type: 'layoutready', + layout: this + }); + } +}; + +/** + * @brief : Logs a debug message in JS console, if DEBUG is ON + */ +// var logDebug = function(text) { +// if (DEBUG) { +// console.debug(text); +// } +// }; + +/** + * @brief : Performs one iteration of the physical simulation + * @arg layoutInfo : LayoutInfo object already initialized + * @arg cy : Cytoscape object + * @arg options : Layout options + */ +var step = function step(layoutInfo, options, _step) { + // var s = "\n\n###############################"; + // s += "\nSTEP: " + step; + // s += "\n###############################\n"; + // logDebug(s); + + // Calculate node repulsions + calculateNodeForces(layoutInfo, options); + // Calculate edge forces + calculateEdgeForces(layoutInfo); + // Calculate gravity forces + calculateGravityForces(layoutInfo, options); + // Propagate forces from parent to child + propagateForces(layoutInfo); + // Update positions based on calculated forces + updatePositions(layoutInfo); +}; + +/** + * @brief : Computes the node repulsion forces + */ +var calculateNodeForces = function calculateNodeForces(layoutInfo, options) { + // Go through each of the graphs in graphSet + // Nodes only repel each other if they belong to the same graph + // var s = 'calculateNodeForces'; + // logDebug(s); + for (var i = 0; i < layoutInfo.graphSet.length; i++) { + var graph = layoutInfo.graphSet[i]; + var numNodes = graph.length; + + // s = "Set: " + graph.toString(); + // logDebug(s); + + // Now get all the pairs of nodes + // Only get each pair once, (A, B) = (B, A) + for (var j = 0; j < numNodes; j++) { + var node1 = layoutInfo.layoutNodes[layoutInfo.idToIndex[graph[j]]]; + for (var k = j + 1; k < numNodes; k++) { + var node2 = layoutInfo.layoutNodes[layoutInfo.idToIndex[graph[k]]]; + nodeRepulsion(node1, node2, layoutInfo, options); + } + } + } +}; +var randomDistance = function randomDistance(max) { + return -max + 2 * max * Math.random(); +}; + +/** + * @brief : Compute the node repulsion forces between a pair of nodes + */ +var nodeRepulsion = function nodeRepulsion(node1, node2, layoutInfo, options) { + // var s = "Node repulsion. Node1: " + node1.id + " Node2: " + node2.id; + + var cmptId1 = node1.cmptId; + var cmptId2 = node2.cmptId; + if (cmptId1 !== cmptId2 && !layoutInfo.isCompound) { + return; + } + + // Get direction of line connecting both node centers + var directionX = node2.positionX - node1.positionX; + var directionY = node2.positionY - node1.positionY; + var maxRandDist = 1; + // s += "\ndirectionX: " + directionX + ", directionY: " + directionY; + + // If both centers are the same, apply a random force + if (0 === directionX && 0 === directionY) { + directionX = randomDistance(maxRandDist); + directionY = randomDistance(maxRandDist); + } + var overlap = nodesOverlap(node1, node2, directionX, directionY); + if (overlap > 0) { + // s += "\nNodes DO overlap."; + // s += "\nOverlap: " + overlap; + // If nodes overlap, repulsion force is proportional + // to the overlap + var force = options.nodeOverlap * overlap; + + // Compute the module and components of the force vector + var distance = Math.sqrt(directionX * directionX + directionY * directionY); + // s += "\nDistance: " + distance; + var forceX = force * directionX / distance; + var forceY = force * directionY / distance; + } else { + // s += "\nNodes do NOT overlap."; + // If there's no overlap, force is inversely proportional + // to squared distance + + // Get clipping points for both nodes + var point1 = findClippingPoint(node1, directionX, directionY); + var point2 = findClippingPoint(node2, -1 * directionX, -1 * directionY); + + // Use clipping points to compute distance + var distanceX = point2.x - point1.x; + var distanceY = point2.y - point1.y; + var distanceSqr = distanceX * distanceX + distanceY * distanceY; + var distance = Math.sqrt(distanceSqr); + // s += "\nDistance: " + distance; + + // Compute the module and components of the force vector + var force = (node1.nodeRepulsion + node2.nodeRepulsion) / distanceSqr; + var forceX = force * distanceX / distance; + var forceY = force * distanceY / distance; + } + + // Apply force + if (!node1.isLocked) { + node1.offsetX -= forceX; + node1.offsetY -= forceY; + } + if (!node2.isLocked) { + node2.offsetX += forceX; + node2.offsetY += forceY; + } + + // s += "\nForceX: " + forceX + " ForceY: " + forceY; + // logDebug(s); + + return; +}; + +/** + * @brief : Determines whether two nodes overlap or not + * @return : Amount of overlapping (0 => no overlap) + */ +var nodesOverlap = function nodesOverlap(node1, node2, dX, dY) { + if (dX > 0) { + var overlapX = node1.maxX - node2.minX; + } else { + var overlapX = node2.maxX - node1.minX; + } + if (dY > 0) { + var overlapY = node1.maxY - node2.minY; + } else { + var overlapY = node2.maxY - node1.minY; + } + if (overlapX >= 0 && overlapY >= 0) { + return Math.sqrt(overlapX * overlapX + overlapY * overlapY); + } else { + return 0; + } +}; + +/** + * @brief : Finds the point in which an edge (direction dX, dY) intersects + * the rectangular bounding box of it's source/target node + */ +var findClippingPoint = function findClippingPoint(node, dX, dY) { + // Shorcuts + var X = node.positionX; + var Y = node.positionY; + var H = node.height || 1; + var W = node.width || 1; + var dirSlope = dY / dX; + var nodeSlope = H / W; + + // var s = 'Computing clipping point of node ' + node.id + + // " . Height: " + H + ", Width: " + W + + // "\nDirection " + dX + ", " + dY; + // + // Compute intersection + var res = {}; + + // Case: Vertical direction (up) + if (0 === dX && 0 < dY) { + res.x = X; + // s += "\nUp direction"; + res.y = Y + H / 2; + return res; + } + + // Case: Vertical direction (down) + if (0 === dX && 0 > dY) { + res.x = X; + res.y = Y + H / 2; + // s += "\nDown direction"; + + return res; + } + + // Case: Intersects the right border + if (0 < dX && -1 * nodeSlope <= dirSlope && dirSlope <= nodeSlope) { + res.x = X + W / 2; + res.y = Y + W * dY / 2 / dX; + // s += "\nRightborder"; + + return res; + } + + // Case: Intersects the left border + if (0 > dX && -1 * nodeSlope <= dirSlope && dirSlope <= nodeSlope) { + res.x = X - W / 2; + res.y = Y - W * dY / 2 / dX; + // s += "\nLeftborder"; + + return res; + } + + // Case: Intersects the top border + if (0 < dY && (dirSlope <= -1 * nodeSlope || dirSlope >= nodeSlope)) { + res.x = X + H * dX / 2 / dY; + res.y = Y + H / 2; + // s += "\nTop border"; + + return res; + } + + // Case: Intersects the bottom border + if (0 > dY && (dirSlope <= -1 * nodeSlope || dirSlope >= nodeSlope)) { + res.x = X - H * dX / 2 / dY; + res.y = Y - H / 2; + // s += "\nBottom border"; + + return res; + } + + // s += "\nClipping point found at " + res.x + ", " + res.y; + // logDebug(s); + return res; +}; + +/** + * @brief : Calculates all edge forces + */ +var calculateEdgeForces = function calculateEdgeForces(layoutInfo, options) { + // Iterate over all edges + for (var i = 0; i < layoutInfo.edgeSize; i++) { + // Get edge, source & target nodes + var edge = layoutInfo.layoutEdges[i]; + var sourceIx = layoutInfo.idToIndex[edge.sourceId]; + var source = layoutInfo.layoutNodes[sourceIx]; + var targetIx = layoutInfo.idToIndex[edge.targetId]; + var target = layoutInfo.layoutNodes[targetIx]; + + // Get direction of line connecting both node centers + var directionX = target.positionX - source.positionX; + var directionY = target.positionY - source.positionY; + + // If both centers are the same, do nothing. + // A random force has already been applied as node repulsion + if (0 === directionX && 0 === directionY) { + continue; + } + + // Get clipping points for both nodes + var point1 = findClippingPoint(source, directionX, directionY); + var point2 = findClippingPoint(target, -1 * directionX, -1 * directionY); + var lx = point2.x - point1.x; + var ly = point2.y - point1.y; + var l = Math.sqrt(lx * lx + ly * ly); + var force = Math.pow(edge.idealLength - l, 2) / edge.elasticity; + if (0 !== l) { + var forceX = force * lx / l; + var forceY = force * ly / l; + } else { + var forceX = 0; + var forceY = 0; + } + + // Add this force to target and source nodes + if (!source.isLocked) { + source.offsetX += forceX; + source.offsetY += forceY; + } + if (!target.isLocked) { + target.offsetX -= forceX; + target.offsetY -= forceY; + } + + // var s = 'Edge force between nodes ' + source.id + ' and ' + target.id; + // s += "\nDistance: " + l + " Force: (" + forceX + ", " + forceY + ")"; + // logDebug(s); + } +}; + +/** + * @brief : Computes gravity forces for all nodes + */ +var calculateGravityForces = function calculateGravityForces(layoutInfo, options) { + if (options.gravity === 0) { + return; + } + var distThreshold = 1; + + // var s = 'calculateGravityForces'; + // logDebug(s); + for (var i = 0; i < layoutInfo.graphSet.length; i++) { + var graph = layoutInfo.graphSet[i]; + var numNodes = graph.length; + + // s = "Set: " + graph.toString(); + // logDebug(s); + + // Compute graph center + if (0 === i) { + var centerX = layoutInfo.clientHeight / 2; + var centerY = layoutInfo.clientWidth / 2; + } else { + // Get Parent node for this graph, and use its position as center + var temp = layoutInfo.layoutNodes[layoutInfo.idToIndex[graph[0]]]; + var parent = layoutInfo.layoutNodes[layoutInfo.idToIndex[temp.parentId]]; + var centerX = parent.positionX; + var centerY = parent.positionY; + } + // s = "Center found at: " + centerX + ", " + centerY; + // logDebug(s); + + // Apply force to all nodes in graph + for (var j = 0; j < numNodes; j++) { + var node = layoutInfo.layoutNodes[layoutInfo.idToIndex[graph[j]]]; + // s = "Node: " + node.id; + + if (node.isLocked) { + continue; + } + var dx = centerX - node.positionX; + var dy = centerY - node.positionY; + var d = Math.sqrt(dx * dx + dy * dy); + if (d > distThreshold) { + var fx = options.gravity * dx / d; + var fy = options.gravity * dy / d; + node.offsetX += fx; + node.offsetY += fy; + // s += ": Applied force: " + fx + ", " + fy; + } + // logDebug(s); + } + } +}; + +/** + * @brief : This function propagates the existing offsets from + * parent nodes to its descendents. + * @arg layoutInfo : layoutInfo Object + * @arg cy : cytoscape Object + * @arg options : Layout options + */ +var propagateForces = function propagateForces(layoutInfo, options) { + // Inline implementation of a queue, used for traversing the graph in BFS order + var queue = []; + var start = 0; // Points to the start the queue + var end = -1; // Points to the end of the queue + + // logDebug('propagateForces'); + + // Start by visiting the nodes in the root graph + queue.push.apply(queue, layoutInfo.graphSet[0]); + end += layoutInfo.graphSet[0].length; + + // Traverse the graph, level by level, + while (start <= end) { + // Get the node to visit and remove it from queue + var nodeId = queue[start++]; + var nodeIndex = layoutInfo.idToIndex[nodeId]; + var node = layoutInfo.layoutNodes[nodeIndex]; + var children = node.children; + + // We only need to process the node if it's compound + if (0 < children.length && !node.isLocked) { + var offX = node.offsetX; + var offY = node.offsetY; + + // var s = "Propagating offset from parent node : " + node.id + + // ". OffsetX: " + offX + ". OffsetY: " + offY; + // s += "\n Children: " + children.toString(); + // logDebug(s); + + for (var i = 0; i < children.length; i++) { + var childNode = layoutInfo.layoutNodes[layoutInfo.idToIndex[children[i]]]; + // Propagate offset + childNode.offsetX += offX; + childNode.offsetY += offY; + // Add children to queue to be visited + queue[++end] = children[i]; + } + + // Reset parent offsets + node.offsetX = 0; + node.offsetY = 0; + } + } +}; + +/** + * @brief : Updates the layout model positions, based on + * the accumulated forces + */ +var updatePositions = function updatePositions(layoutInfo, options) { + // var s = 'Updating positions'; + // logDebug(s); + + // Reset boundaries for compound nodes + for (var i = 0; i < layoutInfo.nodeSize; i++) { + var n = layoutInfo.layoutNodes[i]; + if (0 < n.children.length) { + // logDebug("Resetting boundaries of compound node: " + n.id); + n.maxX = undefined; + n.minX = undefined; + n.maxY = undefined; + n.minY = undefined; + } + } + for (var i = 0; i < layoutInfo.nodeSize; i++) { + var n = layoutInfo.layoutNodes[i]; + if (0 < n.children.length || n.isLocked) { + // No need to set compound or locked node position + // logDebug("Skipping position update of node: " + n.id); + continue; + } + // s = "Node: " + n.id + " Previous position: (" + + // n.positionX + ", " + n.positionY + ")."; + + // Limit displacement in order to improve stability + var tempForce = limitForce(n.offsetX, n.offsetY, layoutInfo.temperature); + n.positionX += tempForce.x; + n.positionY += tempForce.y; + n.offsetX = 0; + n.offsetY = 0; + n.minX = n.positionX - n.width; + n.maxX = n.positionX + n.width; + n.minY = n.positionY - n.height; + n.maxY = n.positionY + n.height; + // s += " New Position: (" + n.positionX + ", " + n.positionY + ")."; + // logDebug(s); + + // Update ancestry boudaries + updateAncestryBoundaries(n, layoutInfo); + } + + // Update size, position of compund nodes + for (var i = 0; i < layoutInfo.nodeSize; i++) { + var n = layoutInfo.layoutNodes[i]; + if (0 < n.children.length && !n.isLocked) { + n.positionX = (n.maxX + n.minX) / 2; + n.positionY = (n.maxY + n.minY) / 2; + n.width = n.maxX - n.minX; + n.height = n.maxY - n.minY; + // s = "Updating position, size of compound node " + n.id; + // s += "\nPositionX: " + n.positionX + ", PositionY: " + n.positionY; + // s += "\nWidth: " + n.width + ", Height: " + n.height; + // logDebug(s); + } + } +}; + +/** + * @brief : Limits a force (forceX, forceY) to be not + * greater (in modulo) than max. + 8 Preserves force direction. + */ +var limitForce = function limitForce(forceX, forceY, max) { + // var s = "Limiting force: (" + forceX + ", " + forceY + "). Max: " + max; + var force = Math.sqrt(forceX * forceX + forceY * forceY); + if (force > max) { + var res = { + x: max * forceX / force, + y: max * forceY / force + }; + } else { + var res = { + x: forceX, + y: forceY + }; + } + + // s += ".\nResult: (" + res.x + ", " + res.y + ")"; + // logDebug(s); + + return res; +}; + +/** + * @brief : Function used for keeping track of compound node + * sizes, since they should bound all their subnodes. + */ +var updateAncestryBoundaries = function updateAncestryBoundaries(node, layoutInfo) { + // var s = "Propagating new position/size of node " + node.id; + var parentId = node.parentId; + if (null == parentId) { + // If there's no parent, we are done + // s += ". No parent node."; + // logDebug(s); + return; + } + + // Get Parent Node + var p = layoutInfo.layoutNodes[layoutInfo.idToIndex[parentId]]; + var flag = false; + + // MaxX + if (null == p.maxX || node.maxX + p.padRight > p.maxX) { + p.maxX = node.maxX + p.padRight; + flag = true; + // s += "\nNew maxX for parent node " + p.id + ": " + p.maxX; + } + + // MinX + if (null == p.minX || node.minX - p.padLeft < p.minX) { + p.minX = node.minX - p.padLeft; + flag = true; + // s += "\nNew minX for parent node " + p.id + ": " + p.minX; + } + + // MaxY + if (null == p.maxY || node.maxY + p.padBottom > p.maxY) { + p.maxY = node.maxY + p.padBottom; + flag = true; + // s += "\nNew maxY for parent node " + p.id + ": " + p.maxY; + } + + // MinY + if (null == p.minY || node.minY - p.padTop < p.minY) { + p.minY = node.minY - p.padTop; + flag = true; + // s += "\nNew minY for parent node " + p.id + ": " + p.minY; + } + + // If updated boundaries, propagate changes upward + if (flag) { + // logDebug(s); + return updateAncestryBoundaries(p, layoutInfo); + } + + // s += ". No changes in boundaries/position of parent node " + p.id; + // logDebug(s); + return; +}; +var separateComponents = function separateComponents(layoutInfo, options) { + var nodes = layoutInfo.layoutNodes; + var components = []; + for (var i = 0; i < nodes.length; i++) { + var node = nodes[i]; + var cid = node.cmptId; + var component = components[cid] = components[cid] || []; + component.push(node); + } + var totalA = 0; + for (var i = 0; i < components.length; i++) { + var c = components[i]; + if (!c) { + continue; + } + c.x1 = Infinity; + c.x2 = -Infinity; + c.y1 = Infinity; + c.y2 = -Infinity; + for (var j = 0; j < c.length; j++) { + var n = c[j]; + c.x1 = Math.min(c.x1, n.positionX - n.width / 2); + c.x2 = Math.max(c.x2, n.positionX + n.width / 2); + c.y1 = Math.min(c.y1, n.positionY - n.height / 2); + c.y2 = Math.max(c.y2, n.positionY + n.height / 2); + } + c.w = c.x2 - c.x1; + c.h = c.y2 - c.y1; + totalA += c.w * c.h; + } + components.sort(function (c1, c2) { + return c2.w * c2.h - c1.w * c1.h; + }); + var x = 0; + var y = 0; + var usedW = 0; + var rowH = 0; + var maxRowW = Math.sqrt(totalA) * layoutInfo.clientWidth / layoutInfo.clientHeight; + for (var i = 0; i < components.length; i++) { + var c = components[i]; + if (!c) { + continue; + } + for (var j = 0; j < c.length; j++) { + var n = c[j]; + if (!n.isLocked) { + n.positionX += x - c.x1; + n.positionY += y - c.y1; + } + } + x += c.w + options.componentSpacing; + usedW += c.w + options.componentSpacing; + rowH = Math.max(rowH, c.h); + if (usedW > maxRowW) { + y += rowH + options.componentSpacing; + x = 0; + usedW = 0; + rowH = 0; + } + } +}; + +var defaults$3 = { + fit: true, + // whether to fit the viewport to the graph + padding: 30, + // padding used on fit + boundingBox: undefined, + // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } + avoidOverlap: true, + // prevents node overlap, may overflow boundingBox if not enough space + avoidOverlapPadding: 10, + // extra spacing around nodes when avoidOverlap: true + nodeDimensionsIncludeLabels: false, + // Excludes the label when calculating node bounding boxes for the layout algorithm + spacingFactor: undefined, + // Applies a multiplicative factor (>0) to expand or compress the overall area that the nodes take up + condense: false, + // uses all available space on false, uses minimal space on true + rows: undefined, + // force num of rows in the grid + cols: undefined, + // force num of columns in the grid + position: function position(node) {}, + // returns { row, col } for element + sort: undefined, + // a sorting function to order the nodes; e.g. function(a, b){ return a.data('weight') - b.data('weight') } + animate: false, + // whether to transition the node positions + animationDuration: 500, + // duration of animation in ms if enabled + animationEasing: undefined, + // easing of animation if enabled + animateFilter: function animateFilter(node, i) { + return true; + }, + // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts + ready: undefined, + // callback on layoutready + stop: undefined, + // callback on layoutstop + transform: function transform(node, position) { + return position; + } // transform a given node position. Useful for changing flow direction in discrete layouts +}; + +function GridLayout(options) { + this.options = extend({}, defaults$3, options); +} +GridLayout.prototype.run = function () { + var params = this.options; + var options = params; + var cy = params.cy; + var eles = options.eles; + var nodes = eles.nodes().not(':parent'); + if (options.sort) { + nodes = nodes.sort(options.sort); + } + var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { + x1: 0, + y1: 0, + w: cy.width(), + h: cy.height() + }); + if (bb.h === 0 || bb.w === 0) { + eles.nodes().layoutPositions(this, options, function (ele) { + return { + x: bb.x1, + y: bb.y1 + }; + }); + } else { + // width/height * splits^2 = cells where splits is number of times to split width + var cells = nodes.size(); + var splits = Math.sqrt(cells * bb.h / bb.w); + var rows = Math.round(splits); + var cols = Math.round(bb.w / bb.h * splits); + var small = function small(val) { + if (val == null) { + return Math.min(rows, cols); + } else { + var min = Math.min(rows, cols); + if (min == rows) { + rows = val; + } else { + cols = val; + } + } + }; + var large = function large(val) { + if (val == null) { + return Math.max(rows, cols); + } else { + var max = Math.max(rows, cols); + if (max == rows) { + rows = val; + } else { + cols = val; + } + } + }; + var oRows = options.rows; + var oCols = options.cols != null ? options.cols : options.columns; + + // if rows or columns were set in options, use those values + if (oRows != null && oCols != null) { + rows = oRows; + cols = oCols; + } else if (oRows != null && oCols == null) { + rows = oRows; + cols = Math.ceil(cells / rows); + } else if (oRows == null && oCols != null) { + cols = oCols; + rows = Math.ceil(cells / cols); + } + + // otherwise use the automatic values and adjust accordingly + + // if rounding was up, see if we can reduce rows or columns + else if (cols * rows > cells) { + var sm = small(); + var lg = large(); + + // reducing the small side takes away the most cells, so try it first + if ((sm - 1) * lg >= cells) { + small(sm - 1); + } else if ((lg - 1) * sm >= cells) { + large(lg - 1); + } + } else { + // if rounding was too low, add rows or columns + while (cols * rows < cells) { + var _sm = small(); + var _lg = large(); + + // try to add to larger side first (adds less in multiplication) + if ((_lg + 1) * _sm >= cells) { + large(_lg + 1); + } else { + small(_sm + 1); + } + } + } + var cellWidth = bb.w / cols; + var cellHeight = bb.h / rows; + if (options.condense) { + cellWidth = 0; + cellHeight = 0; + } + if (options.avoidOverlap) { + for (var i = 0; i < nodes.length; i++) { + var node = nodes[i]; + var pos = node._private.position; + if (pos.x == null || pos.y == null) { + // for bb + pos.x = 0; + pos.y = 0; + } + var nbb = node.layoutDimensions(options); + var p = options.avoidOverlapPadding; + var w = nbb.w + p; + var h = nbb.h + p; + cellWidth = Math.max(cellWidth, w); + cellHeight = Math.max(cellHeight, h); + } + } + var cellUsed = {}; // e.g. 'c-0-2' => true + + var used = function used(row, col) { + return cellUsed['c-' + row + '-' + col] ? true : false; + }; + var use = function use(row, col) { + cellUsed['c-' + row + '-' + col] = true; + }; + + // to keep track of current cell position + var row = 0; + var col = 0; + var moveToNextCell = function moveToNextCell() { + col++; + if (col >= cols) { + col = 0; + row++; + } + }; + + // get a cache of all the manual positions + var id2manPos = {}; + for (var _i = 0; _i < nodes.length; _i++) { + var _node = nodes[_i]; + var rcPos = options.position(_node); + if (rcPos && (rcPos.row !== undefined || rcPos.col !== undefined)) { + // must have at least row or col def'd + var _pos = { + row: rcPos.row, + col: rcPos.col + }; + if (_pos.col === undefined) { + // find unused col + _pos.col = 0; + while (used(_pos.row, _pos.col)) { + _pos.col++; + } + } else if (_pos.row === undefined) { + // find unused row + _pos.row = 0; + while (used(_pos.row, _pos.col)) { + _pos.row++; + } + } + id2manPos[_node.id()] = _pos; + use(_pos.row, _pos.col); + } + } + var getPos = function getPos(element, i) { + var x, y; + if (element.locked() || element.isParent()) { + return false; + } + + // see if we have a manual position set + var rcPos = id2manPos[element.id()]; + if (rcPos) { + x = rcPos.col * cellWidth + cellWidth / 2 + bb.x1; + y = rcPos.row * cellHeight + cellHeight / 2 + bb.y1; + } else { + // otherwise set automatically + + while (used(row, col)) { + moveToNextCell(); + } + x = col * cellWidth + cellWidth / 2 + bb.x1; + y = row * cellHeight + cellHeight / 2 + bb.y1; + use(row, col); + moveToNextCell(); + } + return { + x: x, + y: y + }; + }; + nodes.layoutPositions(this, options, getPos); + } + return this; // chaining +}; + +// default layout options +var defaults$2 = { + ready: function ready() {}, + // on layoutready + stop: function stop() {} // on layoutstop +}; + +// constructor +// options : object containing layout options +function NullLayout(options) { + this.options = extend({}, defaults$2, options); +} + +// runs the layout +NullLayout.prototype.run = function () { + var options = this.options; + var eles = options.eles; // elements to consider in the layout + var layout = this; + + // cy is automatically populated for us in the constructor + // (disable eslint for next line as this serves as example layout code to external developers) + // eslint-disable-next-line no-unused-vars + options.cy; + layout.emit('layoutstart'); + + // puts all nodes at (0, 0) + // n.b. most layouts would use layoutPositions(), instead of positions() and manual events + eles.nodes().positions(function () { + return { + x: 0, + y: 0 + }; + }); + + // trigger layoutready when each node has had its position set at least once + layout.one('layoutready', options.ready); + layout.emit('layoutready'); + + // trigger layoutstop when the layout stops (e.g. finishes) + layout.one('layoutstop', options.stop); + layout.emit('layoutstop'); + return this; // chaining +}; + +// called on continuous layouts to stop them before they finish +NullLayout.prototype.stop = function () { + return this; // chaining +}; + +var defaults$1 = { + positions: undefined, + // map of (node id) => (position obj); or function(node){ return somPos; } + zoom: undefined, + // the zoom level to set (prob want fit = false if set) + pan: undefined, + // the pan level to set (prob want fit = false if set) + fit: true, + // whether to fit to viewport + padding: 30, + // padding on fit + spacingFactor: undefined, + // Applies a multiplicative factor (>0) to expand or compress the overall area that the nodes take up + animate: false, + // whether to transition the node positions + animationDuration: 500, + // duration of animation in ms if enabled + animationEasing: undefined, + // easing of animation if enabled + animateFilter: function animateFilter(node, i) { + return true; + }, + // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts + ready: undefined, + // callback on layoutready + stop: undefined, + // callback on layoutstop + transform: function transform(node, position) { + return position; + } // transform a given node position. Useful for changing flow direction in discrete layouts +}; + +function PresetLayout(options) { + this.options = extend({}, defaults$1, options); +} +PresetLayout.prototype.run = function () { + var options = this.options; + var eles = options.eles; + var nodes = eles.nodes(); + var posIsFn = fn$6(options.positions); + function getPosition(node) { + if (options.positions == null) { + return copyPosition(node.position()); + } + if (posIsFn) { + return options.positions(node); + } + var pos = options.positions[node._private.data.id]; + if (pos == null) { + return null; + } + return pos; + } + nodes.layoutPositions(this, options, function (node, i) { + var position = getPosition(node); + if (node.locked() || position == null) { + return false; + } + return position; + }); + return this; // chaining +}; + +var defaults = { + fit: true, + // whether to fit to viewport + padding: 30, + // fit padding + boundingBox: undefined, + // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } + animate: false, + // whether to transition the node positions + animationDuration: 500, + // duration of animation in ms if enabled + animationEasing: undefined, + // easing of animation if enabled + animateFilter: function animateFilter(node, i) { + return true; + }, + // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts + ready: undefined, + // callback on layoutready + stop: undefined, + // callback on layoutstop + transform: function transform(node, position) { + return position; + } // transform a given node position. Useful for changing flow direction in discrete layouts +}; + +function RandomLayout(options) { + this.options = extend({}, defaults, options); +} +RandomLayout.prototype.run = function () { + var options = this.options; + var cy = options.cy; + var eles = options.eles; + var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { + x1: 0, + y1: 0, + w: cy.width(), + h: cy.height() + }); + var getPos = function getPos(node, i) { + return { + x: bb.x1 + Math.round(Math.random() * bb.w), + y: bb.y1 + Math.round(Math.random() * bb.h) + }; + }; + eles.nodes().layoutPositions(this, options, getPos); + return this; // chaining +}; + +var layout = [{ + name: 'breadthfirst', + impl: BreadthFirstLayout +}, { + name: 'circle', + impl: CircleLayout +}, { + name: 'concentric', + impl: ConcentricLayout +}, { + name: 'cose', + impl: CoseLayout +}, { + name: 'grid', + impl: GridLayout +}, { + name: 'null', + impl: NullLayout +}, { + name: 'preset', + impl: PresetLayout +}, { + name: 'random', + impl: RandomLayout +}]; + +function NullRenderer(options) { + this.options = options; + this.notifications = 0; // for testing +} + +var noop = function noop() {}; +var throwImgErr = function throwImgErr() { + throw new Error('A headless instance can not render images'); +}; +NullRenderer.prototype = { + recalculateRenderedStyle: noop, + notify: function notify() { + this.notifications++; + }, + init: noop, + isHeadless: function isHeadless() { + return true; + }, + png: throwImgErr, + jpg: throwImgErr +}; + +var BRp$f = {}; +BRp$f.arrowShapeWidth = 0.3; +BRp$f.registerArrowShapes = function () { + var arrowShapes = this.arrowShapes = {}; + var renderer = this; + + // Contract for arrow shapes: + // 0, 0 is arrow tip + // (0, 1) is direction towards node + // (1, 0) is right + // + // functional api: + // collide: check x, y in shape + // roughCollide: called before collide, no false negatives + // draw: draw + // spacing: dist(arrowTip, nodeBoundary) + // gap: dist(edgeTip, nodeBoundary), edgeTip may != arrowTip + + var bbCollide = function bbCollide(x, y, size, angle, translation, edgeWidth, padding) { + var x1 = translation.x - size / 2 - padding; + var x2 = translation.x + size / 2 + padding; + var y1 = translation.y - size / 2 - padding; + var y2 = translation.y + size / 2 + padding; + var inside = x1 <= x && x <= x2 && y1 <= y && y <= y2; + return inside; + }; + var transform = function transform(x, y, size, angle, translation) { + var xRotated = x * Math.cos(angle) - y * Math.sin(angle); + var yRotated = x * Math.sin(angle) + y * Math.cos(angle); + var xScaled = xRotated * size; + var yScaled = yRotated * size; + var xTranslated = xScaled + translation.x; + var yTranslated = yScaled + translation.y; + return { + x: xTranslated, + y: yTranslated + }; + }; + var transformPoints = function transformPoints(pts, size, angle, translation) { + var retPts = []; + for (var i = 0; i < pts.length; i += 2) { + var x = pts[i]; + var y = pts[i + 1]; + retPts.push(transform(x, y, size, angle, translation)); + } + return retPts; + }; + var pointsToArr = function pointsToArr(pts) { + var ret = []; + for (var i = 0; i < pts.length; i++) { + var p = pts[i]; + ret.push(p.x, p.y); + } + return ret; + }; + var standardGap = function standardGap(edge) { + return edge.pstyle('width').pfValue * edge.pstyle('arrow-scale').pfValue * 2; + }; + var defineArrowShape = function defineArrowShape(name, defn) { + if (string(defn)) { + defn = arrowShapes[defn]; + } + arrowShapes[name] = extend({ + name: name, + points: [-0.15, -0.3, 0.15, -0.3, 0.15, 0.3, -0.15, 0.3], + collide: function collide(x, y, size, angle, translation, padding) { + var points = pointsToArr(transformPoints(this.points, size + 2 * padding, angle, translation)); + var inside = pointInsidePolygonPoints(x, y, points); + return inside; + }, + roughCollide: bbCollide, + draw: function draw(context, size, angle, translation) { + var points = transformPoints(this.points, size, angle, translation); + renderer.arrowShapeImpl('polygon')(context, points); + }, + spacing: function spacing(edge) { + return 0; + }, + gap: standardGap + }, defn); + }; + defineArrowShape('none', { + collide: falsify, + roughCollide: falsify, + draw: noop$1, + spacing: zeroify, + gap: zeroify + }); + defineArrowShape('triangle', { + points: [-0.15, -0.3, 0, 0, 0.15, -0.3] + }); + defineArrowShape('arrow', 'triangle'); + defineArrowShape('triangle-backcurve', { + points: arrowShapes['triangle'].points, + controlPoint: [0, -0.15], + roughCollide: bbCollide, + draw: function draw(context, size, angle, translation, edgeWidth) { + var ptsTrans = transformPoints(this.points, size, angle, translation); + var ctrlPt = this.controlPoint; + var ctrlPtTrans = transform(ctrlPt[0], ctrlPt[1], size, angle, translation); + renderer.arrowShapeImpl(this.name)(context, ptsTrans, ctrlPtTrans); + }, + gap: function gap(edge) { + return standardGap(edge) * 0.8; + } + }); + defineArrowShape('triangle-tee', { + points: [0, 0, 0.15, -0.3, -0.15, -0.3, 0, 0], + pointsTee: [-0.15, -0.4, -0.15, -0.5, 0.15, -0.5, 0.15, -0.4], + collide: function collide(x, y, size, angle, translation, edgeWidth, padding) { + var triPts = pointsToArr(transformPoints(this.points, size + 2 * padding, angle, translation)); + var teePts = pointsToArr(transformPoints(this.pointsTee, size + 2 * padding, angle, translation)); + var inside = pointInsidePolygonPoints(x, y, triPts) || pointInsidePolygonPoints(x, y, teePts); + return inside; + }, + draw: function draw(context, size, angle, translation, edgeWidth) { + var triPts = transformPoints(this.points, size, angle, translation); + var teePts = transformPoints(this.pointsTee, size, angle, translation); + renderer.arrowShapeImpl(this.name)(context, triPts, teePts); + } + }); + defineArrowShape('circle-triangle', { + radius: 0.15, + pointsTr: [0, -0.15, 0.15, -0.45, -0.15, -0.45, 0, -0.15], + collide: function collide(x, y, size, angle, translation, edgeWidth, padding) { + var t = translation; + var circleInside = Math.pow(t.x - x, 2) + Math.pow(t.y - y, 2) <= Math.pow((size + 2 * padding) * this.radius, 2); + var triPts = pointsToArr(transformPoints(this.points, size + 2 * padding, angle, translation)); + return pointInsidePolygonPoints(x, y, triPts) || circleInside; + }, + draw: function draw(context, size, angle, translation, edgeWidth) { + var triPts = transformPoints(this.pointsTr, size, angle, translation); + renderer.arrowShapeImpl(this.name)(context, triPts, translation.x, translation.y, this.radius * size); + }, + spacing: function spacing(edge) { + return renderer.getArrowWidth(edge.pstyle('width').pfValue, edge.pstyle('arrow-scale').value) * this.radius; + } + }); + defineArrowShape('triangle-cross', { + points: [0, 0, 0.15, -0.3, -0.15, -0.3, 0, 0], + baseCrossLinePts: [-0.15, -0.4, + // first half of the rectangle + -0.15, -0.4, 0.15, -0.4, + // second half of the rectangle + 0.15, -0.4], + crossLinePts: function crossLinePts(size, edgeWidth) { + // shift points so that the distance between the cross points matches edge width + var p = this.baseCrossLinePts.slice(); + var shiftFactor = edgeWidth / size; + var y0 = 3; + var y1 = 5; + p[y0] = p[y0] - shiftFactor; + p[y1] = p[y1] - shiftFactor; + return p; + }, + collide: function collide(x, y, size, angle, translation, edgeWidth, padding) { + var triPts = pointsToArr(transformPoints(this.points, size + 2 * padding, angle, translation)); + var teePts = pointsToArr(transformPoints(this.crossLinePts(size, edgeWidth), size + 2 * padding, angle, translation)); + var inside = pointInsidePolygonPoints(x, y, triPts) || pointInsidePolygonPoints(x, y, teePts); + return inside; + }, + draw: function draw(context, size, angle, translation, edgeWidth) { + var triPts = transformPoints(this.points, size, angle, translation); + var crossLinePts = transformPoints(this.crossLinePts(size, edgeWidth), size, angle, translation); + renderer.arrowShapeImpl(this.name)(context, triPts, crossLinePts); + } + }); + defineArrowShape('vee', { + points: [-0.15, -0.3, 0, 0, 0.15, -0.3, 0, -0.15], + gap: function gap(edge) { + return standardGap(edge) * 0.525; + } + }); + defineArrowShape('circle', { + radius: 0.15, + collide: function collide(x, y, size, angle, translation, edgeWidth, padding) { + var t = translation; + var inside = Math.pow(t.x - x, 2) + Math.pow(t.y - y, 2) <= Math.pow((size + 2 * padding) * this.radius, 2); + return inside; + }, + draw: function draw(context, size, angle, translation, edgeWidth) { + renderer.arrowShapeImpl(this.name)(context, translation.x, translation.y, this.radius * size); + }, + spacing: function spacing(edge) { + return renderer.getArrowWidth(edge.pstyle('width').pfValue, edge.pstyle('arrow-scale').value) * this.radius; + } + }); + defineArrowShape('tee', { + points: [-0.15, 0, -0.15, -0.1, 0.15, -0.1, 0.15, 0], + spacing: function spacing(edge) { + return 1; + }, + gap: function gap(edge) { + return 1; + } + }); + defineArrowShape('square', { + points: [-0.15, 0.00, 0.15, 0.00, 0.15, -0.3, -0.15, -0.3] + }); + defineArrowShape('diamond', { + points: [-0.15, -0.15, 0, -0.3, 0.15, -0.15, 0, 0], + gap: function gap(edge) { + return edge.pstyle('width').pfValue * edge.pstyle('arrow-scale').value; + } + }); + defineArrowShape('chevron', { + points: [0, 0, -0.15, -0.15, -0.1, -0.2, 0, -0.1, 0.1, -0.2, 0.15, -0.15], + gap: function gap(edge) { + return 0.95 * edge.pstyle('width').pfValue * edge.pstyle('arrow-scale').value; + } + }); +}; + +var BRp$e = {}; + +// Project mouse +BRp$e.projectIntoViewport = function (clientX, clientY) { + var cy = this.cy; + var offsets = this.findContainerClientCoords(); + var offsetLeft = offsets[0]; + var offsetTop = offsets[1]; + var scale = offsets[4]; + var pan = cy.pan(); + var zoom = cy.zoom(); + var x = ((clientX - offsetLeft) / scale - pan.x) / zoom; + var y = ((clientY - offsetTop) / scale - pan.y) / zoom; + return [x, y]; +}; +BRp$e.findContainerClientCoords = function () { + if (this.containerBB) { + return this.containerBB; + } + var container = this.container; + var rect = container.getBoundingClientRect(); + var style = this.cy.window().getComputedStyle(container); + var styleValue = function styleValue(name) { + return parseFloat(style.getPropertyValue(name)); + }; + var padding = { + left: styleValue('padding-left'), + right: styleValue('padding-right'), + top: styleValue('padding-top'), + bottom: styleValue('padding-bottom') + }; + var border = { + left: styleValue('border-left-width'), + right: styleValue('border-right-width'), + top: styleValue('border-top-width'), + bottom: styleValue('border-bottom-width') + }; + var clientWidth = container.clientWidth; + var clientHeight = container.clientHeight; + var paddingHor = padding.left + padding.right; + var paddingVer = padding.top + padding.bottom; + var borderHor = border.left + border.right; + var scale = rect.width / (clientWidth + borderHor); + var unscaledW = clientWidth - paddingHor; + var unscaledH = clientHeight - paddingVer; + var left = rect.left + padding.left + border.left; + var top = rect.top + padding.top + border.top; + return this.containerBB = [left, top, unscaledW, unscaledH, scale]; +}; +BRp$e.invalidateContainerClientCoordsCache = function () { + this.containerBB = null; +}; +BRp$e.findNearestElement = function (x, y, interactiveElementsOnly, isTouch) { + return this.findNearestElements(x, y, interactiveElementsOnly, isTouch)[0]; +}; +BRp$e.findNearestElements = function (x, y, interactiveElementsOnly, isTouch) { + var self = this; + var r = this; + var eles = r.getCachedZSortedEles(); + var near = []; // 1 node max, 1 edge max + var zoom = r.cy.zoom(); + var hasCompounds = r.cy.hasCompoundNodes(); + var edgeThreshold = (isTouch ? 24 : 8) / zoom; + var nodeThreshold = (isTouch ? 8 : 2) / zoom; + var labelThreshold = (isTouch ? 8 : 2) / zoom; + var minSqDist = Infinity; + var nearEdge; + var nearNode; + if (interactiveElementsOnly) { + eles = eles.interactive; + } + function addEle(ele, sqDist) { + if (ele.isNode()) { + if (nearNode) { + return; // can't replace node + } else { + nearNode = ele; + near.push(ele); + } + } + if (ele.isEdge() && (sqDist == null || sqDist < minSqDist)) { + if (nearEdge) { + // then replace existing edge + // can replace only if same z-index + if (nearEdge.pstyle('z-compound-depth').value === ele.pstyle('z-compound-depth').value && nearEdge.pstyle('z-compound-depth').value === ele.pstyle('z-compound-depth').value) { + for (var i = 0; i < near.length; i++) { + if (near[i].isEdge()) { + near[i] = ele; + nearEdge = ele; + minSqDist = sqDist != null ? sqDist : minSqDist; + break; + } + } + } + } else { + near.push(ele); + nearEdge = ele; + minSqDist = sqDist != null ? sqDist : minSqDist; + } + } + } + function checkNode(node) { + var width = node.outerWidth() + 2 * nodeThreshold; + var height = node.outerHeight() + 2 * nodeThreshold; + var hw = width / 2; + var hh = height / 2; + var pos = node.position(); + if (pos.x - hw <= x && x <= pos.x + hw // bb check x + && pos.y - hh <= y && y <= pos.y + hh // bb check y + ) { + var shape = r.nodeShapes[self.getNodeShape(node)]; + if (shape.checkPoint(x, y, 0, width, height, pos.x, pos.y)) { + addEle(node, 0); + return true; + } + } + } + function checkEdge(edge) { + var _p = edge._private; + var rs = _p.rscratch; + var styleWidth = edge.pstyle('width').pfValue; + var scale = edge.pstyle('arrow-scale').value; + var width = styleWidth / 2 + edgeThreshold; // more like a distance radius from centre + var widthSq = width * width; + var width2 = width * 2; + var src = _p.source; + var tgt = _p.target; + var sqDist; + if (rs.edgeType === 'segments' || rs.edgeType === 'straight' || rs.edgeType === 'haystack') { + var pts = rs.allpts; + for (var i = 0; i + 3 < pts.length; i += 2) { + if (inLineVicinity(x, y, pts[i], pts[i + 1], pts[i + 2], pts[i + 3], width2) && widthSq > (sqDist = sqdistToFiniteLine(x, y, pts[i], pts[i + 1], pts[i + 2], pts[i + 3]))) { + addEle(edge, sqDist); + return true; + } + } + } else if (rs.edgeType === 'bezier' || rs.edgeType === 'multibezier' || rs.edgeType === 'self' || rs.edgeType === 'compound') { + var pts = rs.allpts; + for (var i = 0; i + 5 < rs.allpts.length; i += 4) { + if (inBezierVicinity(x, y, pts[i], pts[i + 1], pts[i + 2], pts[i + 3], pts[i + 4], pts[i + 5], width2) && widthSq > (sqDist = sqdistToQuadraticBezier(x, y, pts[i], pts[i + 1], pts[i + 2], pts[i + 3], pts[i + 4], pts[i + 5]))) { + addEle(edge, sqDist); + return true; + } + } + } + + // if we're close to the edge but didn't hit it, maybe we hit its arrows + + var src = src || _p.source; + var tgt = tgt || _p.target; + var arSize = self.getArrowWidth(styleWidth, scale); + var arrows = [{ + name: 'source', + x: rs.arrowStartX, + y: rs.arrowStartY, + angle: rs.srcArrowAngle + }, { + name: 'target', + x: rs.arrowEndX, + y: rs.arrowEndY, + angle: rs.tgtArrowAngle + }, { + name: 'mid-source', + x: rs.midX, + y: rs.midY, + angle: rs.midsrcArrowAngle + }, { + name: 'mid-target', + x: rs.midX, + y: rs.midY, + angle: rs.midtgtArrowAngle + }]; + for (var i = 0; i < arrows.length; i++) { + var ar = arrows[i]; + var shape = r.arrowShapes[edge.pstyle(ar.name + '-arrow-shape').value]; + var edgeWidth = edge.pstyle('width').pfValue; + if (shape.roughCollide(x, y, arSize, ar.angle, { + x: ar.x, + y: ar.y + }, edgeWidth, edgeThreshold) && shape.collide(x, y, arSize, ar.angle, { + x: ar.x, + y: ar.y + }, edgeWidth, edgeThreshold)) { + addEle(edge); + return true; + } + } + + // for compound graphs, hitting edge may actually want a connected node instead (b/c edge may have greater z-index precedence) + if (hasCompounds && near.length > 0) { + checkNode(src); + checkNode(tgt); + } + } + function preprop(obj, name, pre) { + return getPrefixedProperty(obj, name, pre); + } + function checkLabel(ele, prefix) { + var _p = ele._private; + var th = labelThreshold; + var prefixDash; + if (prefix) { + prefixDash = prefix + '-'; + } else { + prefixDash = ''; + } + ele.boundingBox(); + var bb = _p.labelBounds[prefix || 'main']; + var text = ele.pstyle(prefixDash + 'label').value; + var eventsEnabled = ele.pstyle('text-events').strValue === 'yes'; + if (!eventsEnabled || !text) { + return; + } + var lx = preprop(_p.rscratch, 'labelX', prefix); + var ly = preprop(_p.rscratch, 'labelY', prefix); + var theta = preprop(_p.rscratch, 'labelAngle', prefix); + var ox = ele.pstyle(prefixDash + 'text-margin-x').pfValue; + var oy = ele.pstyle(prefixDash + 'text-margin-y').pfValue; + var lx1 = bb.x1 - th - ox; // (-ox, -oy) as bb already includes margin + var lx2 = bb.x2 + th - ox; // and rotation is about (lx, ly) + var ly1 = bb.y1 - th - oy; + var ly2 = bb.y2 + th - oy; + if (theta) { + var cos = Math.cos(theta); + var sin = Math.sin(theta); + var rotate = function rotate(x, y) { + x = x - lx; + y = y - ly; + return { + x: x * cos - y * sin + lx, + y: x * sin + y * cos + ly + }; + }; + var px1y1 = rotate(lx1, ly1); + var px1y2 = rotate(lx1, ly2); + var px2y1 = rotate(lx2, ly1); + var px2y2 = rotate(lx2, ly2); + var points = [ + // with the margin added after the rotation is applied + px1y1.x + ox, px1y1.y + oy, px2y1.x + ox, px2y1.y + oy, px2y2.x + ox, px2y2.y + oy, px1y2.x + ox, px1y2.y + oy]; + if (pointInsidePolygonPoints(x, y, points)) { + addEle(ele); + return true; + } + } else { + // do a cheaper bb check + if (inBoundingBox(bb, x, y)) { + addEle(ele); + return true; + } + } + } + for (var i = eles.length - 1; i >= 0; i--) { + // reverse order for precedence + var ele = eles[i]; + if (ele.isNode()) { + checkNode(ele) || checkLabel(ele); + } else { + // then edge + checkEdge(ele) || checkLabel(ele) || checkLabel(ele, 'source') || checkLabel(ele, 'target'); + } + } + return near; +}; + +// 'Give me everything from this box' +BRp$e.getAllInBox = function (x1, y1, x2, y2) { + var eles = this.getCachedZSortedEles().interactive; + var box = []; + var x1c = Math.min(x1, x2); + var x2c = Math.max(x1, x2); + var y1c = Math.min(y1, y2); + var y2c = Math.max(y1, y2); + x1 = x1c; + x2 = x2c; + y1 = y1c; + y2 = y2c; + var boxBb = makeBoundingBox({ + x1: x1, + y1: y1, + x2: x2, + y2: y2 + }); + for (var e = 0; e < eles.length; e++) { + var ele = eles[e]; + if (ele.isNode()) { + var node = ele; + var nodeBb = node.boundingBox({ + includeNodes: true, + includeEdges: false, + includeLabels: false + }); + if (boundingBoxesIntersect(boxBb, nodeBb) && !boundingBoxInBoundingBox(nodeBb, boxBb)) { + box.push(node); + } + } else { + var edge = ele; + var _p = edge._private; + var rs = _p.rscratch; + if (rs.startX != null && rs.startY != null && !inBoundingBox(boxBb, rs.startX, rs.startY)) { + continue; + } + if (rs.endX != null && rs.endY != null && !inBoundingBox(boxBb, rs.endX, rs.endY)) { + continue; + } + if (rs.edgeType === 'bezier' || rs.edgeType === 'multibezier' || rs.edgeType === 'self' || rs.edgeType === 'compound' || rs.edgeType === 'segments' || rs.edgeType === 'haystack') { + var pts = _p.rstyle.bezierPts || _p.rstyle.linePts || _p.rstyle.haystackPts; + var allInside = true; + for (var i = 0; i < pts.length; i++) { + if (!pointInBoundingBox(boxBb, pts[i])) { + allInside = false; + break; + } + } + if (allInside) { + box.push(edge); + } + } else if (rs.edgeType === 'haystack' || rs.edgeType === 'straight') { + box.push(edge); + } + } + } + return box; +}; + +var BRp$d = {}; +BRp$d.calculateArrowAngles = function (edge) { + var rs = edge._private.rscratch; + var isHaystack = rs.edgeType === 'haystack'; + var isBezier = rs.edgeType === 'bezier'; + var isMultibezier = rs.edgeType === 'multibezier'; + var isSegments = rs.edgeType === 'segments'; + var isCompound = rs.edgeType === 'compound'; + var isSelf = rs.edgeType === 'self'; + + // Displacement gives direction for arrowhead orientation + var dispX, dispY; + var startX, startY, endX, endY, midX, midY; + if (isHaystack) { + startX = rs.haystackPts[0]; + startY = rs.haystackPts[1]; + endX = rs.haystackPts[2]; + endY = rs.haystackPts[3]; + } else { + startX = rs.arrowStartX; + startY = rs.arrowStartY; + endX = rs.arrowEndX; + endY = rs.arrowEndY; + } + midX = rs.midX; + midY = rs.midY; + + // source + // + + if (isSegments) { + dispX = startX - rs.segpts[0]; + dispY = startY - rs.segpts[1]; + } else if (isMultibezier || isCompound || isSelf || isBezier) { + var pts = rs.allpts; + var bX = qbezierAt(pts[0], pts[2], pts[4], 0.1); + var bY = qbezierAt(pts[1], pts[3], pts[5], 0.1); + dispX = startX - bX; + dispY = startY - bY; + } else { + dispX = startX - midX; + dispY = startY - midY; + } + rs.srcArrowAngle = getAngleFromDisp(dispX, dispY); + + // mid target + // + + var midX = rs.midX; + var midY = rs.midY; + if (isHaystack) { + midX = (startX + endX) / 2; + midY = (startY + endY) / 2; + } + dispX = endX - startX; + dispY = endY - startY; + if (isSegments) { + var pts = rs.allpts; + if (pts.length / 2 % 2 === 0) { + var i2 = pts.length / 2; + var i1 = i2 - 2; + dispX = pts[i2] - pts[i1]; + dispY = pts[i2 + 1] - pts[i1 + 1]; + } else { + var i2 = pts.length / 2 - 1; + var i1 = i2 - 2; + var i3 = i2 + 2; + dispX = pts[i2] - pts[i1]; + dispY = pts[i2 + 1] - pts[i1 + 1]; + } + } else if (isMultibezier || isCompound || isSelf) { + var pts = rs.allpts; + var cpts = rs.ctrlpts; + var bp0x, bp0y; + var bp1x, bp1y; + if (cpts.length / 2 % 2 === 0) { + var p0 = pts.length / 2 - 1; // startpt + var ic = p0 + 2; + var p1 = ic + 2; + bp0x = qbezierAt(pts[p0], pts[ic], pts[p1], 0.0); + bp0y = qbezierAt(pts[p0 + 1], pts[ic + 1], pts[p1 + 1], 0.0); + bp1x = qbezierAt(pts[p0], pts[ic], pts[p1], 0.0001); + bp1y = qbezierAt(pts[p0 + 1], pts[ic + 1], pts[p1 + 1], 0.0001); + } else { + var ic = pts.length / 2 - 1; // ctrpt + var p0 = ic - 2; // startpt + var p1 = ic + 2; // endpt + + bp0x = qbezierAt(pts[p0], pts[ic], pts[p1], 0.4999); + bp0y = qbezierAt(pts[p0 + 1], pts[ic + 1], pts[p1 + 1], 0.4999); + bp1x = qbezierAt(pts[p0], pts[ic], pts[p1], 0.5); + bp1y = qbezierAt(pts[p0 + 1], pts[ic + 1], pts[p1 + 1], 0.5); + } + dispX = bp1x - bp0x; + dispY = bp1y - bp0y; + } + rs.midtgtArrowAngle = getAngleFromDisp(dispX, dispY); + rs.midDispX = dispX; + rs.midDispY = dispY; + + // mid source + // + + dispX *= -1; + dispY *= -1; + if (isSegments) { + var pts = rs.allpts; + if (pts.length / 2 % 2 === 0) ; else { + var i2 = pts.length / 2 - 1; + var i3 = i2 + 2; + dispX = -(pts[i3] - pts[i2]); + dispY = -(pts[i3 + 1] - pts[i2 + 1]); + } + } + rs.midsrcArrowAngle = getAngleFromDisp(dispX, dispY); + + // target + // + + if (isSegments) { + dispX = endX - rs.segpts[rs.segpts.length - 2]; + dispY = endY - rs.segpts[rs.segpts.length - 1]; + } else if (isMultibezier || isCompound || isSelf || isBezier) { + var pts = rs.allpts; + var l = pts.length; + var bX = qbezierAt(pts[l - 6], pts[l - 4], pts[l - 2], 0.9); + var bY = qbezierAt(pts[l - 5], pts[l - 3], pts[l - 1], 0.9); + dispX = endX - bX; + dispY = endY - bY; + } else { + dispX = endX - midX; + dispY = endY - midY; + } + rs.tgtArrowAngle = getAngleFromDisp(dispX, dispY); +}; +BRp$d.getArrowWidth = BRp$d.getArrowHeight = function (edgeWidth, scale) { + var cache = this.arrowWidthCache = this.arrowWidthCache || {}; + var cachedVal = cache[edgeWidth + ', ' + scale]; + if (cachedVal) { + return cachedVal; + } + cachedVal = Math.max(Math.pow(edgeWidth * 13.37, 0.9), 29) * scale; + cache[edgeWidth + ', ' + scale] = cachedVal; + return cachedVal; +}; + +var BRp$c = {}; +BRp$c.findMidptPtsEtc = function (edge, pairInfo) { + var posPts = pairInfo.posPts, + intersectionPts = pairInfo.intersectionPts, + vectorNormInverse = pairInfo.vectorNormInverse; + var midptPts; + + // n.b. assumes all edges in bezier bundle have same endpoints specified + var srcManEndpt = edge.pstyle('source-endpoint'); + var tgtManEndpt = edge.pstyle('target-endpoint'); + var haveManualEndPts = srcManEndpt.units != null && tgtManEndpt.units != null; + var recalcVectorNormInverse = function recalcVectorNormInverse(x1, y1, x2, y2) { + var dy = y2 - y1; + var dx = x2 - x1; + var l = Math.sqrt(dx * dx + dy * dy); + return { + x: -dy / l, + y: dx / l + }; + }; + var edgeDistances = edge.pstyle('edge-distances').value; + switch (edgeDistances) { + case 'node-position': + midptPts = posPts; + break; + case 'intersection': + midptPts = intersectionPts; + break; + case 'endpoints': + { + if (haveManualEndPts) { + var _this$manualEndptToPx = this.manualEndptToPx(edge.source()[0], srcManEndpt), + _this$manualEndptToPx2 = _slicedToArray(_this$manualEndptToPx, 2), + x1 = _this$manualEndptToPx2[0], + y1 = _this$manualEndptToPx2[1]; + var _this$manualEndptToPx3 = this.manualEndptToPx(edge.target()[0], tgtManEndpt), + _this$manualEndptToPx4 = _slicedToArray(_this$manualEndptToPx3, 2), + x2 = _this$manualEndptToPx4[0], + y2 = _this$manualEndptToPx4[1]; + var endPts = { + x1: x1, + y1: y1, + x2: x2, + y2: y2 + }; + vectorNormInverse = recalcVectorNormInverse(x1, y1, x2, y2); + midptPts = endPts; + } else { + warn("Edge ".concat(edge.id(), " has edge-distances:endpoints specified without manual endpoints specified via source-endpoint and target-endpoint. Falling back on edge-distances:intersection (default).")); + midptPts = intersectionPts; // back to default + } + + break; + } + } + return { + midptPts: midptPts, + vectorNormInverse: vectorNormInverse + }; +}; +BRp$c.findHaystackPoints = function (edges) { + for (var i = 0; i < edges.length; i++) { + var edge = edges[i]; + var _p = edge._private; + var rs = _p.rscratch; + if (!rs.haystack) { + var angle = Math.random() * 2 * Math.PI; + rs.source = { + x: Math.cos(angle), + y: Math.sin(angle) + }; + angle = Math.random() * 2 * Math.PI; + rs.target = { + x: Math.cos(angle), + y: Math.sin(angle) + }; + } + var src = _p.source; + var tgt = _p.target; + var srcPos = src.position(); + var tgtPos = tgt.position(); + var srcW = src.width(); + var tgtW = tgt.width(); + var srcH = src.height(); + var tgtH = tgt.height(); + var radius = edge.pstyle('haystack-radius').value; + var halfRadius = radius / 2; // b/c have to half width/height + + rs.haystackPts = rs.allpts = [rs.source.x * srcW * halfRadius + srcPos.x, rs.source.y * srcH * halfRadius + srcPos.y, rs.target.x * tgtW * halfRadius + tgtPos.x, rs.target.y * tgtH * halfRadius + tgtPos.y]; + rs.midX = (rs.allpts[0] + rs.allpts[2]) / 2; + rs.midY = (rs.allpts[1] + rs.allpts[3]) / 2; + + // always override as haystack in case set to different type previously + rs.edgeType = 'haystack'; + rs.haystack = true; + this.storeEdgeProjections(edge); + this.calculateArrowAngles(edge); + this.recalculateEdgeLabelProjections(edge); + this.calculateLabelAngles(edge); + } +}; +BRp$c.findSegmentsPoints = function (edge, pairInfo) { + // Segments (multiple straight lines) + + var rs = edge._private.rscratch; + var segmentWs = edge.pstyle('segment-weights'); + var segmentDs = edge.pstyle('segment-distances'); + var segmentsN = Math.min(segmentWs.pfValue.length, segmentDs.pfValue.length); + rs.edgeType = 'segments'; + rs.segpts = []; + for (var s = 0; s < segmentsN; s++) { + var w = segmentWs.pfValue[s]; + var d = segmentDs.pfValue[s]; + var w1 = 1 - w; + var w2 = w; + var _this$findMidptPtsEtc = this.findMidptPtsEtc(edge, pairInfo), + midptPts = _this$findMidptPtsEtc.midptPts, + vectorNormInverse = _this$findMidptPtsEtc.vectorNormInverse; + var adjustedMidpt = { + x: midptPts.x1 * w1 + midptPts.x2 * w2, + y: midptPts.y1 * w1 + midptPts.y2 * w2 + }; + rs.segpts.push(adjustedMidpt.x + vectorNormInverse.x * d, adjustedMidpt.y + vectorNormInverse.y * d); + } +}; +BRp$c.findLoopPoints = function (edge, pairInfo, i, edgeIsUnbundled) { + // Self-edge + + var rs = edge._private.rscratch; + var dirCounts = pairInfo.dirCounts, + srcPos = pairInfo.srcPos; + var ctrlptDists = edge.pstyle('control-point-distances'); + var ctrlptDist = ctrlptDists ? ctrlptDists.pfValue[0] : undefined; + var loopDir = edge.pstyle('loop-direction').pfValue; + var loopSwp = edge.pstyle('loop-sweep').pfValue; + var stepSize = edge.pstyle('control-point-step-size').pfValue; + rs.edgeType = 'self'; + var j = i; + var loopDist = stepSize; + if (edgeIsUnbundled) { + j = 0; + loopDist = ctrlptDist; + } + var loopAngle = loopDir - Math.PI / 2; + var outAngle = loopAngle - loopSwp / 2; + var inAngle = loopAngle + loopSwp / 2; + + // increase by step size for overlapping loops, keyed on direction and sweep values + var dc = String(loopDir + '_' + loopSwp); + j = dirCounts[dc] === undefined ? dirCounts[dc] = 0 : ++dirCounts[dc]; + rs.ctrlpts = [srcPos.x + Math.cos(outAngle) * 1.4 * loopDist * (j / 3 + 1), srcPos.y + Math.sin(outAngle) * 1.4 * loopDist * (j / 3 + 1), srcPos.x + Math.cos(inAngle) * 1.4 * loopDist * (j / 3 + 1), srcPos.y + Math.sin(inAngle) * 1.4 * loopDist * (j / 3 + 1)]; +}; +BRp$c.findCompoundLoopPoints = function (edge, pairInfo, i, edgeIsUnbundled) { + // Compound edge + + var rs = edge._private.rscratch; + rs.edgeType = 'compound'; + var srcPos = pairInfo.srcPos, + tgtPos = pairInfo.tgtPos, + srcW = pairInfo.srcW, + srcH = pairInfo.srcH, + tgtW = pairInfo.tgtW, + tgtH = pairInfo.tgtH; + var stepSize = edge.pstyle('control-point-step-size').pfValue; + var ctrlptDists = edge.pstyle('control-point-distances'); + var ctrlptDist = ctrlptDists ? ctrlptDists.pfValue[0] : undefined; + var j = i; + var loopDist = stepSize; + if (edgeIsUnbundled) { + j = 0; + loopDist = ctrlptDist; + } + var loopW = 50; + var loopaPos = { + x: srcPos.x - srcW / 2, + y: srcPos.y - srcH / 2 + }; + var loopbPos = { + x: tgtPos.x - tgtW / 2, + y: tgtPos.y - tgtH / 2 + }; + var loopPos = { + x: Math.min(loopaPos.x, loopbPos.x), + y: Math.min(loopaPos.y, loopbPos.y) + }; + + // avoids cases with impossible beziers + var minCompoundStretch = 0.5; + var compoundStretchA = Math.max(minCompoundStretch, Math.log(srcW * 0.01)); + var compoundStretchB = Math.max(minCompoundStretch, Math.log(tgtW * 0.01)); + rs.ctrlpts = [loopPos.x, loopPos.y - (1 + Math.pow(loopW, 1.12) / 100) * loopDist * (j / 3 + 1) * compoundStretchA, loopPos.x - (1 + Math.pow(loopW, 1.12) / 100) * loopDist * (j / 3 + 1) * compoundStretchB, loopPos.y]; +}; +BRp$c.findStraightEdgePoints = function (edge) { + // Straight edge within bundle + + edge._private.rscratch.edgeType = 'straight'; +}; +BRp$c.findBezierPoints = function (edge, pairInfo, i, edgeIsUnbundled, edgeIsSwapped) { + var rs = edge._private.rscratch; + var stepSize = edge.pstyle('control-point-step-size').pfValue; + var ctrlptDists = edge.pstyle('control-point-distances'); + var ctrlptWs = edge.pstyle('control-point-weights'); + var bezierN = ctrlptDists && ctrlptWs ? Math.min(ctrlptDists.value.length, ctrlptWs.value.length) : 1; + var ctrlptDist = ctrlptDists ? ctrlptDists.pfValue[0] : undefined; + var ctrlptWeight = ctrlptWs.value[0]; + + // (Multi)bezier + + var multi = edgeIsUnbundled; + rs.edgeType = multi ? 'multibezier' : 'bezier'; + rs.ctrlpts = []; + for (var b = 0; b < bezierN; b++) { + var normctrlptDist = (0.5 - pairInfo.eles.length / 2 + i) * stepSize * (edgeIsSwapped ? -1 : 1); + var manctrlptDist = void 0; + var sign = signum(normctrlptDist); + if (multi) { + ctrlptDist = ctrlptDists ? ctrlptDists.pfValue[b] : stepSize; // fall back on step size + ctrlptWeight = ctrlptWs.value[b]; + } + if (edgeIsUnbundled) { + // multi or single unbundled + manctrlptDist = ctrlptDist; + } else { + manctrlptDist = ctrlptDist !== undefined ? sign * ctrlptDist : undefined; + } + var distanceFromMidpoint = manctrlptDist !== undefined ? manctrlptDist : normctrlptDist; + var w1 = 1 - ctrlptWeight; + var w2 = ctrlptWeight; + var _this$findMidptPtsEtc2 = this.findMidptPtsEtc(edge, pairInfo), + midptPts = _this$findMidptPtsEtc2.midptPts, + vectorNormInverse = _this$findMidptPtsEtc2.vectorNormInverse; + var adjustedMidpt = { + x: midptPts.x1 * w1 + midptPts.x2 * w2, + y: midptPts.y1 * w1 + midptPts.y2 * w2 + }; + rs.ctrlpts.push(adjustedMidpt.x + vectorNormInverse.x * distanceFromMidpoint, adjustedMidpt.y + vectorNormInverse.y * distanceFromMidpoint); + } +}; +BRp$c.findTaxiPoints = function (edge, pairInfo) { + // Taxicab geometry with two turns maximum + + var rs = edge._private.rscratch; + rs.edgeType = 'segments'; + var VERTICAL = 'vertical'; + var HORIZONTAL = 'horizontal'; + var LEFTWARD = 'leftward'; + var RIGHTWARD = 'rightward'; + var DOWNWARD = 'downward'; + var UPWARD = 'upward'; + var AUTO = 'auto'; + var posPts = pairInfo.posPts, + srcW = pairInfo.srcW, + srcH = pairInfo.srcH, + tgtW = pairInfo.tgtW, + tgtH = pairInfo.tgtH; + var edgeDistances = edge.pstyle('edge-distances').value; + var dIncludesNodeBody = edgeDistances !== 'node-position'; + var taxiDir = edge.pstyle('taxi-direction').value; + var rawTaxiDir = taxiDir; // unprocessed value + var taxiTurn = edge.pstyle('taxi-turn'); + var turnIsPercent = taxiTurn.units === '%'; + var taxiTurnPfVal = taxiTurn.pfValue; + var turnIsNegative = taxiTurnPfVal < 0; // i.e. from target side + var minD = edge.pstyle('taxi-turn-min-distance').pfValue; + var dw = dIncludesNodeBody ? (srcW + tgtW) / 2 : 0; + var dh = dIncludesNodeBody ? (srcH + tgtH) / 2 : 0; + var pdx = posPts.x2 - posPts.x1; + var pdy = posPts.y2 - posPts.y1; + + // take away the effective w/h from the magnitude of the delta value + var subDWH = function subDWH(dxy, dwh) { + if (dxy > 0) { + return Math.max(dxy - dwh, 0); + } else { + return Math.min(dxy + dwh, 0); + } + }; + var dx = subDWH(pdx, dw); + var dy = subDWH(pdy, dh); + var isExplicitDir = false; + if (rawTaxiDir === AUTO) { + taxiDir = Math.abs(dx) > Math.abs(dy) ? HORIZONTAL : VERTICAL; + } else if (rawTaxiDir === UPWARD || rawTaxiDir === DOWNWARD) { + taxiDir = VERTICAL; + isExplicitDir = true; + } else if (rawTaxiDir === LEFTWARD || rawTaxiDir === RIGHTWARD) { + taxiDir = HORIZONTAL; + isExplicitDir = true; + } + var isVert = taxiDir === VERTICAL; + var l = isVert ? dy : dx; + var pl = isVert ? pdy : pdx; + var sgnL = signum(pl); + var forcedDir = false; + if (!(isExplicitDir && (turnIsPercent || turnIsNegative)) // forcing in this case would cause weird growing in the opposite direction + && (rawTaxiDir === DOWNWARD && pl < 0 || rawTaxiDir === UPWARD && pl > 0 || rawTaxiDir === LEFTWARD && pl > 0 || rawTaxiDir === RIGHTWARD && pl < 0)) { + sgnL *= -1; + l = sgnL * Math.abs(l); + forcedDir = true; + } + var d; + if (turnIsPercent) { + var p = taxiTurnPfVal < 0 ? 1 + taxiTurnPfVal : taxiTurnPfVal; + d = p * l; + } else { + var k = taxiTurnPfVal < 0 ? l : 0; + d = k + taxiTurnPfVal * sgnL; + } + var getIsTooClose = function getIsTooClose(d) { + return Math.abs(d) < minD || Math.abs(d) >= Math.abs(l); + }; + var isTooCloseSrc = getIsTooClose(d); + var isTooCloseTgt = getIsTooClose(Math.abs(l) - Math.abs(d)); + var isTooClose = isTooCloseSrc || isTooCloseTgt; + if (isTooClose && !forcedDir) { + // non-ideal routing + if (isVert) { + // vertical fallbacks + var lShapeInsideSrc = Math.abs(pl) <= srcH / 2; + var lShapeInsideTgt = Math.abs(pdx) <= tgtW / 2; + if (lShapeInsideSrc) { + // horizontal Z-shape (direction not respected) + var x = (posPts.x1 + posPts.x2) / 2; + var y1 = posPts.y1, + y2 = posPts.y2; + rs.segpts = [x, y1, x, y2]; + } else if (lShapeInsideTgt) { + // vertical Z-shape (distance not respected) + var y = (posPts.y1 + posPts.y2) / 2; + var x1 = posPts.x1, + x2 = posPts.x2; + rs.segpts = [x1, y, x2, y]; + } else { + // L-shape fallback (turn distance not respected, but works well with tree siblings) + rs.segpts = [posPts.x1, posPts.y2]; + } + } else { + // horizontal fallbacks + var _lShapeInsideSrc = Math.abs(pl) <= srcW / 2; + var _lShapeInsideTgt = Math.abs(pdy) <= tgtH / 2; + if (_lShapeInsideSrc) { + // vertical Z-shape (direction not respected) + var _y = (posPts.y1 + posPts.y2) / 2; + var _x = posPts.x1, + _x2 = posPts.x2; + rs.segpts = [_x, _y, _x2, _y]; + } else if (_lShapeInsideTgt) { + // horizontal Z-shape (turn distance not respected) + var _x3 = (posPts.x1 + posPts.x2) / 2; + var _y2 = posPts.y1, + _y3 = posPts.y2; + rs.segpts = [_x3, _y2, _x3, _y3]; + } else { + // L-shape (turn distance not respected, but works well for tree siblings) + rs.segpts = [posPts.x2, posPts.y1]; + } + } + } else { + // ideal routing + if (isVert) { + var _y4 = posPts.y1 + d + (dIncludesNodeBody ? srcH / 2 * sgnL : 0); + var _x4 = posPts.x1, + _x5 = posPts.x2; + rs.segpts = [_x4, _y4, _x5, _y4]; + } else { + // horizontal + var _x6 = posPts.x1 + d + (dIncludesNodeBody ? srcW / 2 * sgnL : 0); + var _y5 = posPts.y1, + _y6 = posPts.y2; + rs.segpts = [_x6, _y5, _x6, _y6]; + } + } +}; +BRp$c.tryToCorrectInvalidPoints = function (edge, pairInfo) { + var rs = edge._private.rscratch; + + // can only correct beziers for now... + if (rs.edgeType === 'bezier') { + var srcPos = pairInfo.srcPos, + tgtPos = pairInfo.tgtPos, + srcW = pairInfo.srcW, + srcH = pairInfo.srcH, + tgtW = pairInfo.tgtW, + tgtH = pairInfo.tgtH, + srcShape = pairInfo.srcShape, + tgtShape = pairInfo.tgtShape; + var badStart = !number$1(rs.startX) || !number$1(rs.startY); + var badAStart = !number$1(rs.arrowStartX) || !number$1(rs.arrowStartY); + var badEnd = !number$1(rs.endX) || !number$1(rs.endY); + var badAEnd = !number$1(rs.arrowEndX) || !number$1(rs.arrowEndY); + var minCpADistFactor = 3; + var arrowW = this.getArrowWidth(edge.pstyle('width').pfValue, edge.pstyle('arrow-scale').value) * this.arrowShapeWidth; + var minCpADist = minCpADistFactor * arrowW; + var startACpDist = dist({ + x: rs.ctrlpts[0], + y: rs.ctrlpts[1] + }, { + x: rs.startX, + y: rs.startY + }); + var closeStartACp = startACpDist < minCpADist; + var endACpDist = dist({ + x: rs.ctrlpts[0], + y: rs.ctrlpts[1] + }, { + x: rs.endX, + y: rs.endY + }); + var closeEndACp = endACpDist < minCpADist; + var overlapping = false; + if (badStart || badAStart || closeStartACp) { + overlapping = true; + + // project control point along line from src centre to outside the src shape + // (otherwise intersection will yield nothing) + var cpD = { + // delta + x: rs.ctrlpts[0] - srcPos.x, + y: rs.ctrlpts[1] - srcPos.y + }; + var cpL = Math.sqrt(cpD.x * cpD.x + cpD.y * cpD.y); // length of line + var cpM = { + // normalised delta + x: cpD.x / cpL, + y: cpD.y / cpL + }; + var radius = Math.max(srcW, srcH); + var cpProj = { + // *2 radius guarantees outside shape + x: rs.ctrlpts[0] + cpM.x * 2 * radius, + y: rs.ctrlpts[1] + cpM.y * 2 * radius + }; + var srcCtrlPtIntn = srcShape.intersectLine(srcPos.x, srcPos.y, srcW, srcH, cpProj.x, cpProj.y, 0); + if (closeStartACp) { + rs.ctrlpts[0] = rs.ctrlpts[0] + cpM.x * (minCpADist - startACpDist); + rs.ctrlpts[1] = rs.ctrlpts[1] + cpM.y * (minCpADist - startACpDist); + } else { + rs.ctrlpts[0] = srcCtrlPtIntn[0] + cpM.x * minCpADist; + rs.ctrlpts[1] = srcCtrlPtIntn[1] + cpM.y * minCpADist; + } + } + if (badEnd || badAEnd || closeEndACp) { + overlapping = true; + + // project control point along line from tgt centre to outside the tgt shape + // (otherwise intersection will yield nothing) + var _cpD = { + // delta + x: rs.ctrlpts[0] - tgtPos.x, + y: rs.ctrlpts[1] - tgtPos.y + }; + var _cpL = Math.sqrt(_cpD.x * _cpD.x + _cpD.y * _cpD.y); // length of line + var _cpM = { + // normalised delta + x: _cpD.x / _cpL, + y: _cpD.y / _cpL + }; + var _radius = Math.max(srcW, srcH); + var _cpProj = { + // *2 radius guarantees outside shape + x: rs.ctrlpts[0] + _cpM.x * 2 * _radius, + y: rs.ctrlpts[1] + _cpM.y * 2 * _radius + }; + var tgtCtrlPtIntn = tgtShape.intersectLine(tgtPos.x, tgtPos.y, tgtW, tgtH, _cpProj.x, _cpProj.y, 0); + if (closeEndACp) { + rs.ctrlpts[0] = rs.ctrlpts[0] + _cpM.x * (minCpADist - endACpDist); + rs.ctrlpts[1] = rs.ctrlpts[1] + _cpM.y * (minCpADist - endACpDist); + } else { + rs.ctrlpts[0] = tgtCtrlPtIntn[0] + _cpM.x * minCpADist; + rs.ctrlpts[1] = tgtCtrlPtIntn[1] + _cpM.y * minCpADist; + } + } + if (overlapping) { + // recalc endpts + this.findEndpoints(edge); + } + } +}; +BRp$c.storeAllpts = function (edge) { + var rs = edge._private.rscratch; + if (rs.edgeType === 'multibezier' || rs.edgeType === 'bezier' || rs.edgeType === 'self' || rs.edgeType === 'compound') { + rs.allpts = []; + rs.allpts.push(rs.startX, rs.startY); + for (var b = 0; b + 1 < rs.ctrlpts.length; b += 2) { + // ctrl pt itself + rs.allpts.push(rs.ctrlpts[b], rs.ctrlpts[b + 1]); + + // the midpt between ctrlpts as intermediate destination pts + if (b + 3 < rs.ctrlpts.length) { + rs.allpts.push((rs.ctrlpts[b] + rs.ctrlpts[b + 2]) / 2, (rs.ctrlpts[b + 1] + rs.ctrlpts[b + 3]) / 2); + } + } + rs.allpts.push(rs.endX, rs.endY); + var m, mt; + if (rs.ctrlpts.length / 2 % 2 === 0) { + m = rs.allpts.length / 2 - 1; + rs.midX = rs.allpts[m]; + rs.midY = rs.allpts[m + 1]; + } else { + m = rs.allpts.length / 2 - 3; + mt = 0.5; + rs.midX = qbezierAt(rs.allpts[m], rs.allpts[m + 2], rs.allpts[m + 4], mt); + rs.midY = qbezierAt(rs.allpts[m + 1], rs.allpts[m + 3], rs.allpts[m + 5], mt); + } + } else if (rs.edgeType === 'straight') { + // need to calc these after endpts + rs.allpts = [rs.startX, rs.startY, rs.endX, rs.endY]; + + // default midpt for labels etc + rs.midX = (rs.startX + rs.endX + rs.arrowStartX + rs.arrowEndX) / 4; + rs.midY = (rs.startY + rs.endY + rs.arrowStartY + rs.arrowEndY) / 4; + } else if (rs.edgeType === 'segments') { + rs.allpts = []; + rs.allpts.push(rs.startX, rs.startY); + rs.allpts.push.apply(rs.allpts, rs.segpts); + rs.allpts.push(rs.endX, rs.endY); + if (rs.segpts.length % 4 === 0) { + var i2 = rs.segpts.length / 2; + var i1 = i2 - 2; + rs.midX = (rs.segpts[i1] + rs.segpts[i2]) / 2; + rs.midY = (rs.segpts[i1 + 1] + rs.segpts[i2 + 1]) / 2; + } else { + var _i = rs.segpts.length / 2 - 1; + rs.midX = rs.segpts[_i]; + rs.midY = rs.segpts[_i + 1]; + } + } +}; +BRp$c.checkForInvalidEdgeWarning = function (edge) { + var rs = edge[0]._private.rscratch; + if (rs.nodesOverlap || number$1(rs.startX) && number$1(rs.startY) && number$1(rs.endX) && number$1(rs.endY)) { + rs.loggedErr = false; + } else { + if (!rs.loggedErr) { + rs.loggedErr = true; + warn('Edge `' + edge.id() + '` has invalid endpoints and so it is impossible to draw. Adjust your edge style (e.g. control points) accordingly or use an alternative edge type. This is expected behaviour when the source node and the target node overlap.'); + } + } +}; +BRp$c.findEdgeControlPoints = function (edges) { + var _this = this; + if (!edges || edges.length === 0) { + return; + } + var r = this; + var cy = r.cy; + var hasCompounds = cy.hasCompoundNodes(); + var hashTable = { + map: new Map$1(), + get: function get(pairId) { + var map2 = this.map.get(pairId[0]); + if (map2 != null) { + return map2.get(pairId[1]); + } else { + return null; + } + }, + set: function set(pairId, val) { + var map2 = this.map.get(pairId[0]); + if (map2 == null) { + map2 = new Map$1(); + this.map.set(pairId[0], map2); + } + map2.set(pairId[1], val); + } + }; + var pairIds = []; + var haystackEdges = []; + + // create a table of edge (src, tgt) => list of edges between them + for (var i = 0; i < edges.length; i++) { + var edge = edges[i]; + var _p = edge._private; + var curveStyle = edge.pstyle('curve-style').value; + + // ignore edges who are not to be displayed + // they shouldn't take up space + if (edge.removed() || !edge.takesUpSpace()) { + continue; + } + if (curveStyle === 'haystack') { + haystackEdges.push(edge); + continue; + } + var edgeIsUnbundled = curveStyle === 'unbundled-bezier' || curveStyle === 'segments' || curveStyle === 'straight' || curveStyle === 'straight-triangle' || curveStyle === 'taxi'; + var edgeIsBezier = curveStyle === 'unbundled-bezier' || curveStyle === 'bezier'; + var src = _p.source; + var tgt = _p.target; + var srcIndex = src.poolIndex(); + var tgtIndex = tgt.poolIndex(); + var pairId = [srcIndex, tgtIndex].sort(); + var tableEntry = hashTable.get(pairId); + if (tableEntry == null) { + tableEntry = { + eles: [] + }; + hashTable.set(pairId, tableEntry); + pairIds.push(pairId); + } + tableEntry.eles.push(edge); + if (edgeIsUnbundled) { + tableEntry.hasUnbundled = true; + } + if (edgeIsBezier) { + tableEntry.hasBezier = true; + } + } + + // for each pair (src, tgt), create the ctrl pts + // Nested for loop is OK; total number of iterations for both loops = edgeCount + var _loop = function _loop(p) { + var pairId = pairIds[p]; + var pairInfo = hashTable.get(pairId); + var swappedpairInfo = void 0; + if (!pairInfo.hasUnbundled) { + var pllEdges = pairInfo.eles[0].parallelEdges().filter(function (e) { + return e.isBundledBezier(); + }); + clearArray(pairInfo.eles); + pllEdges.forEach(function (edge) { + return pairInfo.eles.push(edge); + }); + + // for each pair id, the edges should be sorted by index + pairInfo.eles.sort(function (edge1, edge2) { + return edge1.poolIndex() - edge2.poolIndex(); + }); + } + var firstEdge = pairInfo.eles[0]; + var src = firstEdge.source(); + var tgt = firstEdge.target(); + + // make sure src/tgt distinction is consistent w.r.t. pairId + if (src.poolIndex() > tgt.poolIndex()) { + var temp = src; + src = tgt; + tgt = temp; + } + var srcPos = pairInfo.srcPos = src.position(); + var tgtPos = pairInfo.tgtPos = tgt.position(); + var srcW = pairInfo.srcW = src.outerWidth(); + var srcH = pairInfo.srcH = src.outerHeight(); + var tgtW = pairInfo.tgtW = tgt.outerWidth(); + var tgtH = pairInfo.tgtH = tgt.outerHeight(); + var srcShape = pairInfo.srcShape = r.nodeShapes[_this.getNodeShape(src)]; + var tgtShape = pairInfo.tgtShape = r.nodeShapes[_this.getNodeShape(tgt)]; + pairInfo.dirCounts = { + 'north': 0, + 'west': 0, + 'south': 0, + 'east': 0, + 'northwest': 0, + 'southwest': 0, + 'northeast': 0, + 'southeast': 0 + }; + for (var _i2 = 0; _i2 < pairInfo.eles.length; _i2++) { + var _edge = pairInfo.eles[_i2]; + var rs = _edge[0]._private.rscratch; + var _curveStyle = _edge.pstyle('curve-style').value; + var _edgeIsUnbundled = _curveStyle === 'unbundled-bezier' || _curveStyle === 'segments' || _curveStyle === 'taxi'; + + // whether the normalised pair order is the reverse of the edge's src-tgt order + var edgeIsSwapped = !src.same(_edge.source()); + if (!pairInfo.calculatedIntersection && src !== tgt && (pairInfo.hasBezier || pairInfo.hasUnbundled)) { + pairInfo.calculatedIntersection = true; + + // pt outside src shape to calc distance/displacement from src to tgt + var srcOutside = srcShape.intersectLine(srcPos.x, srcPos.y, srcW, srcH, tgtPos.x, tgtPos.y, 0); + var srcIntn = pairInfo.srcIntn = srcOutside; + + // pt outside tgt shape to calc distance/displacement from src to tgt + var tgtOutside = tgtShape.intersectLine(tgtPos.x, tgtPos.y, tgtW, tgtH, srcPos.x, srcPos.y, 0); + var tgtIntn = pairInfo.tgtIntn = tgtOutside; + var intersectionPts = pairInfo.intersectionPts = { + x1: srcOutside[0], + x2: tgtOutside[0], + y1: srcOutside[1], + y2: tgtOutside[1] + }; + var posPts = pairInfo.posPts = { + x1: srcPos.x, + x2: tgtPos.x, + y1: srcPos.y, + y2: tgtPos.y + }; + var dy = tgtOutside[1] - srcOutside[1]; + var dx = tgtOutside[0] - srcOutside[0]; + var l = Math.sqrt(dx * dx + dy * dy); + var vector = pairInfo.vector = { + x: dx, + y: dy + }; + var vectorNorm = pairInfo.vectorNorm = { + x: vector.x / l, + y: vector.y / l + }; + var vectorNormInverse = { + x: -vectorNorm.y, + y: vectorNorm.x + }; + + // if node shapes overlap, then no ctrl pts to draw + pairInfo.nodesOverlap = !number$1(l) || tgtShape.checkPoint(srcOutside[0], srcOutside[1], 0, tgtW, tgtH, tgtPos.x, tgtPos.y) || srcShape.checkPoint(tgtOutside[0], tgtOutside[1], 0, srcW, srcH, srcPos.x, srcPos.y); + pairInfo.vectorNormInverse = vectorNormInverse; + swappedpairInfo = { + nodesOverlap: pairInfo.nodesOverlap, + dirCounts: pairInfo.dirCounts, + calculatedIntersection: true, + hasBezier: pairInfo.hasBezier, + hasUnbundled: pairInfo.hasUnbundled, + eles: pairInfo.eles, + srcPos: tgtPos, + tgtPos: srcPos, + srcW: tgtW, + srcH: tgtH, + tgtW: srcW, + tgtH: srcH, + srcIntn: tgtIntn, + tgtIntn: srcIntn, + srcShape: tgtShape, + tgtShape: srcShape, + posPts: { + x1: posPts.x2, + y1: posPts.y2, + x2: posPts.x1, + y2: posPts.y1 + }, + intersectionPts: { + x1: intersectionPts.x2, + y1: intersectionPts.y2, + x2: intersectionPts.x1, + y2: intersectionPts.y1 + }, + vector: { + x: -vector.x, + y: -vector.y + }, + vectorNorm: { + x: -vectorNorm.x, + y: -vectorNorm.y + }, + vectorNormInverse: { + x: -vectorNormInverse.x, + y: -vectorNormInverse.y + } + }; + } + var passedPairInfo = edgeIsSwapped ? swappedpairInfo : pairInfo; + rs.nodesOverlap = passedPairInfo.nodesOverlap; + rs.srcIntn = passedPairInfo.srcIntn; + rs.tgtIntn = passedPairInfo.tgtIntn; + if (hasCompounds && (src.isParent() || src.isChild() || tgt.isParent() || tgt.isChild()) && (src.parents().anySame(tgt) || tgt.parents().anySame(src) || src.same(tgt) && src.isParent())) { + _this.findCompoundLoopPoints(_edge, passedPairInfo, _i2, _edgeIsUnbundled); + } else if (src === tgt) { + _this.findLoopPoints(_edge, passedPairInfo, _i2, _edgeIsUnbundled); + } else if (_curveStyle === 'segments') { + _this.findSegmentsPoints(_edge, passedPairInfo); + } else if (_curveStyle === 'taxi') { + _this.findTaxiPoints(_edge, passedPairInfo); + } else if (_curveStyle === 'straight' || !_edgeIsUnbundled && pairInfo.eles.length % 2 === 1 && _i2 === Math.floor(pairInfo.eles.length / 2)) { + _this.findStraightEdgePoints(_edge); + } else { + _this.findBezierPoints(_edge, passedPairInfo, _i2, _edgeIsUnbundled, edgeIsSwapped); + } + _this.findEndpoints(_edge); + _this.tryToCorrectInvalidPoints(_edge, passedPairInfo); + _this.checkForInvalidEdgeWarning(_edge); + _this.storeAllpts(_edge); + _this.storeEdgeProjections(_edge); + _this.calculateArrowAngles(_edge); + _this.recalculateEdgeLabelProjections(_edge); + _this.calculateLabelAngles(_edge); + } // for pair edges + }; + for (var p = 0; p < pairIds.length; p++) { + _loop(p); + } // for pair ids + + // haystacks avoid the expense of pairInfo stuff (intersections etc.) + this.findHaystackPoints(haystackEdges); +}; +function getPts(pts) { + var retPts = []; + if (pts == null) { + return; + } + for (var i = 0; i < pts.length; i += 2) { + var x = pts[i]; + var y = pts[i + 1]; + retPts.push({ + x: x, + y: y + }); + } + return retPts; +} +BRp$c.getSegmentPoints = function (edge) { + var rs = edge[0]._private.rscratch; + var type = rs.edgeType; + if (type === 'segments') { + this.recalculateRenderedStyle(edge); + return getPts(rs.segpts); + } +}; +BRp$c.getControlPoints = function (edge) { + var rs = edge[0]._private.rscratch; + var type = rs.edgeType; + if (type === 'bezier' || type === 'multibezier' || type === 'self' || type === 'compound') { + this.recalculateRenderedStyle(edge); + return getPts(rs.ctrlpts); + } +}; +BRp$c.getEdgeMidpoint = function (edge) { + var rs = edge[0]._private.rscratch; + this.recalculateRenderedStyle(edge); + return { + x: rs.midX, + y: rs.midY + }; +}; + +var BRp$b = {}; +BRp$b.manualEndptToPx = function (node, prop) { + var r = this; + var npos = node.position(); + var w = node.outerWidth(); + var h = node.outerHeight(); + if (prop.value.length === 2) { + var p = [prop.pfValue[0], prop.pfValue[1]]; + if (prop.units[0] === '%') { + p[0] = p[0] * w; + } + if (prop.units[1] === '%') { + p[1] = p[1] * h; + } + p[0] += npos.x; + p[1] += npos.y; + return p; + } else { + var angle = prop.pfValue[0]; + angle = -Math.PI / 2 + angle; // start at 12 o'clock + + var l = 2 * Math.max(w, h); + var _p = [npos.x + Math.cos(angle) * l, npos.y + Math.sin(angle) * l]; + return r.nodeShapes[this.getNodeShape(node)].intersectLine(npos.x, npos.y, w, h, _p[0], _p[1], 0); + } +}; +BRp$b.findEndpoints = function (edge) { + var r = this; + var intersect; + var source = edge.source()[0]; + var target = edge.target()[0]; + var srcPos = source.position(); + var tgtPos = target.position(); + var tgtArShape = edge.pstyle('target-arrow-shape').value; + var srcArShape = edge.pstyle('source-arrow-shape').value; + var tgtDist = edge.pstyle('target-distance-from-node').pfValue; + var srcDist = edge.pstyle('source-distance-from-node').pfValue; + var curveStyle = edge.pstyle('curve-style').value; + var rs = edge._private.rscratch; + var et = rs.edgeType; + var taxi = curveStyle === 'taxi'; + var self = et === 'self' || et === 'compound'; + var bezier = et === 'bezier' || et === 'multibezier' || self; + var multi = et !== 'bezier'; + var lines = et === 'straight' || et === 'segments'; + var segments = et === 'segments'; + var hasEndpts = bezier || multi || lines; + var overrideEndpts = self || taxi; + var srcManEndpt = edge.pstyle('source-endpoint'); + var srcManEndptVal = overrideEndpts ? 'outside-to-node' : srcManEndpt.value; + var tgtManEndpt = edge.pstyle('target-endpoint'); + var tgtManEndptVal = overrideEndpts ? 'outside-to-node' : tgtManEndpt.value; + rs.srcManEndpt = srcManEndpt; + rs.tgtManEndpt = tgtManEndpt; + var p1; // last known point of edge on target side + var p2; // last known point of edge on source side + + var p1_i; // point to intersect with target shape + var p2_i; // point to intersect with source shape + + if (bezier) { + var cpStart = [rs.ctrlpts[0], rs.ctrlpts[1]]; + var cpEnd = multi ? [rs.ctrlpts[rs.ctrlpts.length - 2], rs.ctrlpts[rs.ctrlpts.length - 1]] : cpStart; + p1 = cpEnd; + p2 = cpStart; + } else if (lines) { + var srcArrowFromPt = !segments ? [tgtPos.x, tgtPos.y] : rs.segpts.slice(0, 2); + var tgtArrowFromPt = !segments ? [srcPos.x, srcPos.y] : rs.segpts.slice(rs.segpts.length - 2); + p1 = tgtArrowFromPt; + p2 = srcArrowFromPt; + } + if (tgtManEndptVal === 'inside-to-node') { + intersect = [tgtPos.x, tgtPos.y]; + } else if (tgtManEndpt.units) { + intersect = this.manualEndptToPx(target, tgtManEndpt); + } else if (tgtManEndptVal === 'outside-to-line') { + intersect = rs.tgtIntn; // use cached value from ctrlpt calc + } else { + if (tgtManEndptVal === 'outside-to-node' || tgtManEndptVal === 'outside-to-node-or-label') { + p1_i = p1; + } else if (tgtManEndptVal === 'outside-to-line' || tgtManEndptVal === 'outside-to-line-or-label') { + p1_i = [srcPos.x, srcPos.y]; + } + intersect = r.nodeShapes[this.getNodeShape(target)].intersectLine(tgtPos.x, tgtPos.y, target.outerWidth(), target.outerHeight(), p1_i[0], p1_i[1], 0); + if (tgtManEndptVal === 'outside-to-node-or-label' || tgtManEndptVal === 'outside-to-line-or-label') { + var trs = target._private.rscratch; + var lw = trs.labelWidth; + var lh = trs.labelHeight; + var lx = trs.labelX; + var ly = trs.labelY; + var lw2 = lw / 2; + var lh2 = lh / 2; + var va = target.pstyle('text-valign').value; + if (va === 'top') { + ly -= lh2; + } else if (va === 'bottom') { + ly += lh2; + } + var ha = target.pstyle('text-halign').value; + if (ha === 'left') { + lx -= lw2; + } else if (ha === 'right') { + lx += lw2; + } + var labelIntersect = polygonIntersectLine(p1_i[0], p1_i[1], [lx - lw2, ly - lh2, lx + lw2, ly - lh2, lx + lw2, ly + lh2, lx - lw2, ly + lh2], tgtPos.x, tgtPos.y); + if (labelIntersect.length > 0) { + var refPt = srcPos; + var intSqdist = sqdist(refPt, array2point(intersect)); + var labIntSqdist = sqdist(refPt, array2point(labelIntersect)); + var minSqDist = intSqdist; + if (labIntSqdist < intSqdist) { + intersect = labelIntersect; + minSqDist = labIntSqdist; + } + if (labelIntersect.length > 2) { + var labInt2SqDist = sqdist(refPt, { + x: labelIntersect[2], + y: labelIntersect[3] + }); + if (labInt2SqDist < minSqDist) { + intersect = [labelIntersect[2], labelIntersect[3]]; + } + } + } + } + } + var arrowEnd = shortenIntersection(intersect, p1, r.arrowShapes[tgtArShape].spacing(edge) + tgtDist); + var edgeEnd = shortenIntersection(intersect, p1, r.arrowShapes[tgtArShape].gap(edge) + tgtDist); + rs.endX = edgeEnd[0]; + rs.endY = edgeEnd[1]; + rs.arrowEndX = arrowEnd[0]; + rs.arrowEndY = arrowEnd[1]; + if (srcManEndptVal === 'inside-to-node') { + intersect = [srcPos.x, srcPos.y]; + } else if (srcManEndpt.units) { + intersect = this.manualEndptToPx(source, srcManEndpt); + } else if (srcManEndptVal === 'outside-to-line') { + intersect = rs.srcIntn; // use cached value from ctrlpt calc + } else { + if (srcManEndptVal === 'outside-to-node' || srcManEndptVal === 'outside-to-node-or-label') { + p2_i = p2; + } else if (srcManEndptVal === 'outside-to-line' || srcManEndptVal === 'outside-to-line-or-label') { + p2_i = [tgtPos.x, tgtPos.y]; + } + intersect = r.nodeShapes[this.getNodeShape(source)].intersectLine(srcPos.x, srcPos.y, source.outerWidth(), source.outerHeight(), p2_i[0], p2_i[1], 0); + if (srcManEndptVal === 'outside-to-node-or-label' || srcManEndptVal === 'outside-to-line-or-label') { + var srs = source._private.rscratch; + var _lw = srs.labelWidth; + var _lh = srs.labelHeight; + var _lx = srs.labelX; + var _ly = srs.labelY; + var _lw2 = _lw / 2; + var _lh2 = _lh / 2; + var _va = source.pstyle('text-valign').value; + if (_va === 'top') { + _ly -= _lh2; + } else if (_va === 'bottom') { + _ly += _lh2; + } + var _ha = source.pstyle('text-halign').value; + if (_ha === 'left') { + _lx -= _lw2; + } else if (_ha === 'right') { + _lx += _lw2; + } + var _labelIntersect = polygonIntersectLine(p2_i[0], p2_i[1], [_lx - _lw2, _ly - _lh2, _lx + _lw2, _ly - _lh2, _lx + _lw2, _ly + _lh2, _lx - _lw2, _ly + _lh2], srcPos.x, srcPos.y); + if (_labelIntersect.length > 0) { + var _refPt = tgtPos; + var _intSqdist = sqdist(_refPt, array2point(intersect)); + var _labIntSqdist = sqdist(_refPt, array2point(_labelIntersect)); + var _minSqDist = _intSqdist; + if (_labIntSqdist < _intSqdist) { + intersect = [_labelIntersect[0], _labelIntersect[1]]; + _minSqDist = _labIntSqdist; + } + if (_labelIntersect.length > 2) { + var _labInt2SqDist = sqdist(_refPt, { + x: _labelIntersect[2], + y: _labelIntersect[3] + }); + if (_labInt2SqDist < _minSqDist) { + intersect = [_labelIntersect[2], _labelIntersect[3]]; + } + } + } + } + } + var arrowStart = shortenIntersection(intersect, p2, r.arrowShapes[srcArShape].spacing(edge) + srcDist); + var edgeStart = shortenIntersection(intersect, p2, r.arrowShapes[srcArShape].gap(edge) + srcDist); + rs.startX = edgeStart[0]; + rs.startY = edgeStart[1]; + rs.arrowStartX = arrowStart[0]; + rs.arrowStartY = arrowStart[1]; + if (hasEndpts) { + if (!number$1(rs.startX) || !number$1(rs.startY) || !number$1(rs.endX) || !number$1(rs.endY)) { + rs.badLine = true; + } else { + rs.badLine = false; + } + } +}; +BRp$b.getSourceEndpoint = function (edge) { + var rs = edge[0]._private.rscratch; + this.recalculateRenderedStyle(edge); + switch (rs.edgeType) { + case 'haystack': + return { + x: rs.haystackPts[0], + y: rs.haystackPts[1] + }; + default: + return { + x: rs.arrowStartX, + y: rs.arrowStartY + }; + } +}; +BRp$b.getTargetEndpoint = function (edge) { + var rs = edge[0]._private.rscratch; + this.recalculateRenderedStyle(edge); + switch (rs.edgeType) { + case 'haystack': + return { + x: rs.haystackPts[2], + y: rs.haystackPts[3] + }; + default: + return { + x: rs.arrowEndX, + y: rs.arrowEndY + }; + } +}; + +var BRp$a = {}; +function pushBezierPts(r, edge, pts) { + var qbezierAt$1 = function qbezierAt$1(p1, p2, p3, t) { + return qbezierAt(p1, p2, p3, t); + }; + var _p = edge._private; + var bpts = _p.rstyle.bezierPts; + for (var i = 0; i < r.bezierProjPcts.length; i++) { + var p = r.bezierProjPcts[i]; + bpts.push({ + x: qbezierAt$1(pts[0], pts[2], pts[4], p), + y: qbezierAt$1(pts[1], pts[3], pts[5], p) + }); + } +} +BRp$a.storeEdgeProjections = function (edge) { + var _p = edge._private; + var rs = _p.rscratch; + var et = rs.edgeType; + + // clear the cached points state + _p.rstyle.bezierPts = null; + _p.rstyle.linePts = null; + _p.rstyle.haystackPts = null; + if (et === 'multibezier' || et === 'bezier' || et === 'self' || et === 'compound') { + _p.rstyle.bezierPts = []; + for (var i = 0; i + 5 < rs.allpts.length; i += 4) { + pushBezierPts(this, edge, rs.allpts.slice(i, i + 6)); + } + } else if (et === 'segments') { + var lpts = _p.rstyle.linePts = []; + for (var i = 0; i + 1 < rs.allpts.length; i += 2) { + lpts.push({ + x: rs.allpts[i], + y: rs.allpts[i + 1] + }); + } + } else if (et === 'haystack') { + var hpts = rs.haystackPts; + _p.rstyle.haystackPts = [{ + x: hpts[0], + y: hpts[1] + }, { + x: hpts[2], + y: hpts[3] + }]; + } + _p.rstyle.arrowWidth = this.getArrowWidth(edge.pstyle('width').pfValue, edge.pstyle('arrow-scale').value) * this.arrowShapeWidth; +}; +BRp$a.recalculateEdgeProjections = function (edges) { + this.findEdgeControlPoints(edges); +}; + +/* global document */ + +var BRp$9 = {}; +BRp$9.recalculateNodeLabelProjection = function (node) { + var content = node.pstyle('label').strValue; + if (emptyString(content)) { + return; + } + var textX, textY; + var _p = node._private; + var nodeWidth = node.width(); + var nodeHeight = node.height(); + var padding = node.padding(); + var nodePos = node.position(); + var textHalign = node.pstyle('text-halign').strValue; + var textValign = node.pstyle('text-valign').strValue; + var rs = _p.rscratch; + var rstyle = _p.rstyle; + switch (textHalign) { + case 'left': + textX = nodePos.x - nodeWidth / 2 - padding; + break; + case 'right': + textX = nodePos.x + nodeWidth / 2 + padding; + break; + default: + // e.g. center + textX = nodePos.x; + } + switch (textValign) { + case 'top': + textY = nodePos.y - nodeHeight / 2 - padding; + break; + case 'bottom': + textY = nodePos.y + nodeHeight / 2 + padding; + break; + default: + // e.g. middle + textY = nodePos.y; + } + rs.labelX = textX; + rs.labelY = textY; + rstyle.labelX = textX; + rstyle.labelY = textY; + this.calculateLabelAngles(node); + this.applyLabelDimensions(node); +}; +var lineAngleFromDelta = function lineAngleFromDelta(dx, dy) { + var angle = Math.atan(dy / dx); + if (dx === 0 && angle < 0) { + angle = angle * -1; + } + return angle; +}; +var lineAngle = function lineAngle(p0, p1) { + var dx = p1.x - p0.x; + var dy = p1.y - p0.y; + return lineAngleFromDelta(dx, dy); +}; +var bezierAngle = function bezierAngle(p0, p1, p2, t) { + var t0 = bound(0, t - 0.001, 1); + var t1 = bound(0, t + 0.001, 1); + var lp0 = qbezierPtAt(p0, p1, p2, t0); + var lp1 = qbezierPtAt(p0, p1, p2, t1); + return lineAngle(lp0, lp1); +}; +BRp$9.recalculateEdgeLabelProjections = function (edge) { + var p; + var _p = edge._private; + var rs = _p.rscratch; + var r = this; + var content = { + mid: edge.pstyle('label').strValue, + source: edge.pstyle('source-label').strValue, + target: edge.pstyle('target-label').strValue + }; + if (content.mid || content.source || content.target) ; else { + return; // no labels => no calcs + } + + // add center point to style so bounding box calculations can use it + // + p = { + x: rs.midX, + y: rs.midY + }; + var setRs = function setRs(propName, prefix, value) { + setPrefixedProperty(_p.rscratch, propName, prefix, value); + setPrefixedProperty(_p.rstyle, propName, prefix, value); + }; + setRs('labelX', null, p.x); + setRs('labelY', null, p.y); + var midAngle = lineAngleFromDelta(rs.midDispX, rs.midDispY); + setRs('labelAutoAngle', null, midAngle); + var createControlPointInfo = function createControlPointInfo() { + if (createControlPointInfo.cache) { + return createControlPointInfo.cache; + } // use cache so only 1x per edge + + var ctrlpts = []; + + // store each ctrlpt info init + for (var i = 0; i + 5 < rs.allpts.length; i += 4) { + var p0 = { + x: rs.allpts[i], + y: rs.allpts[i + 1] + }; + var p1 = { + x: rs.allpts[i + 2], + y: rs.allpts[i + 3] + }; // ctrlpt + var p2 = { + x: rs.allpts[i + 4], + y: rs.allpts[i + 5] + }; + ctrlpts.push({ + p0: p0, + p1: p1, + p2: p2, + startDist: 0, + length: 0, + segments: [] + }); + } + var bpts = _p.rstyle.bezierPts; + var nProjs = r.bezierProjPcts.length; + function addSegment(cp, p0, p1, t0, t1) { + var length = dist(p0, p1); + var prevSegment = cp.segments[cp.segments.length - 1]; + var segment = { + p0: p0, + p1: p1, + t0: t0, + t1: t1, + startDist: prevSegment ? prevSegment.startDist + prevSegment.length : 0, + length: length + }; + cp.segments.push(segment); + cp.length += length; + } + + // update each ctrlpt with segment info + for (var _i = 0; _i < ctrlpts.length; _i++) { + var cp = ctrlpts[_i]; + var prevCp = ctrlpts[_i - 1]; + if (prevCp) { + cp.startDist = prevCp.startDist + prevCp.length; + } + addSegment(cp, cp.p0, bpts[_i * nProjs], 0, r.bezierProjPcts[0]); // first + + for (var j = 0; j < nProjs - 1; j++) { + addSegment(cp, bpts[_i * nProjs + j], bpts[_i * nProjs + j + 1], r.bezierProjPcts[j], r.bezierProjPcts[j + 1]); + } + addSegment(cp, bpts[_i * nProjs + nProjs - 1], cp.p2, r.bezierProjPcts[nProjs - 1], 1); // last + } + + return createControlPointInfo.cache = ctrlpts; + }; + var calculateEndProjection = function calculateEndProjection(prefix) { + var angle; + var isSrc = prefix === 'source'; + if (!content[prefix]) { + return; + } + var offset = edge.pstyle(prefix + '-text-offset').pfValue; + switch (rs.edgeType) { + case 'self': + case 'compound': + case 'bezier': + case 'multibezier': + { + var cps = createControlPointInfo(); + var selected; + var startDist = 0; + var totalDist = 0; + + // find the segment we're on + for (var i = 0; i < cps.length; i++) { + var _cp = cps[isSrc ? i : cps.length - 1 - i]; + for (var j = 0; j < _cp.segments.length; j++) { + var _seg = _cp.segments[isSrc ? j : _cp.segments.length - 1 - j]; + var lastSeg = i === cps.length - 1 && j === _cp.segments.length - 1; + startDist = totalDist; + totalDist += _seg.length; + if (totalDist >= offset || lastSeg) { + selected = { + cp: _cp, + segment: _seg + }; + break; + } + } + if (selected) { + break; + } + } + var cp = selected.cp; + var seg = selected.segment; + var tSegment = (offset - startDist) / seg.length; + var segDt = seg.t1 - seg.t0; + var t = isSrc ? seg.t0 + segDt * tSegment : seg.t1 - segDt * tSegment; + t = bound(0, t, 1); + p = qbezierPtAt(cp.p0, cp.p1, cp.p2, t); + angle = bezierAngle(cp.p0, cp.p1, cp.p2, t); + break; + } + case 'straight': + case 'segments': + case 'haystack': + { + var d = 0, + di, + d0; + var p0, p1; + var l = rs.allpts.length; + for (var _i2 = 0; _i2 + 3 < l; _i2 += 2) { + if (isSrc) { + p0 = { + x: rs.allpts[_i2], + y: rs.allpts[_i2 + 1] + }; + p1 = { + x: rs.allpts[_i2 + 2], + y: rs.allpts[_i2 + 3] + }; + } else { + p0 = { + x: rs.allpts[l - 2 - _i2], + y: rs.allpts[l - 1 - _i2] + }; + p1 = { + x: rs.allpts[l - 4 - _i2], + y: rs.allpts[l - 3 - _i2] + }; + } + di = dist(p0, p1); + d0 = d; + d += di; + if (d >= offset) { + break; + } + } + var pD = offset - d0; + var _t = pD / di; + _t = bound(0, _t, 1); + p = lineAt(p0, p1, _t); + angle = lineAngle(p0, p1); + break; + } + } + setRs('labelX', prefix, p.x); + setRs('labelY', prefix, p.y); + setRs('labelAutoAngle', prefix, angle); + }; + calculateEndProjection('source'); + calculateEndProjection('target'); + this.applyLabelDimensions(edge); +}; +BRp$9.applyLabelDimensions = function (ele) { + this.applyPrefixedLabelDimensions(ele); + if (ele.isEdge()) { + this.applyPrefixedLabelDimensions(ele, 'source'); + this.applyPrefixedLabelDimensions(ele, 'target'); + } +}; +BRp$9.applyPrefixedLabelDimensions = function (ele, prefix) { + var _p = ele._private; + var text = this.getLabelText(ele, prefix); + var labelDims = this.calculateLabelDimensions(ele, text); + var lineHeight = ele.pstyle('line-height').pfValue; + var textWrap = ele.pstyle('text-wrap').strValue; + var lines = getPrefixedProperty(_p.rscratch, 'labelWrapCachedLines', prefix) || []; + var numLines = textWrap !== 'wrap' ? 1 : Math.max(lines.length, 1); + var normPerLineHeight = labelDims.height / numLines; + var labelLineHeight = normPerLineHeight * lineHeight; + var width = labelDims.width; + var height = labelDims.height + (numLines - 1) * (lineHeight - 1) * normPerLineHeight; + setPrefixedProperty(_p.rstyle, 'labelWidth', prefix, width); + setPrefixedProperty(_p.rscratch, 'labelWidth', prefix, width); + setPrefixedProperty(_p.rstyle, 'labelHeight', prefix, height); + setPrefixedProperty(_p.rscratch, 'labelHeight', prefix, height); + setPrefixedProperty(_p.rscratch, 'labelLineHeight', prefix, labelLineHeight); +}; +BRp$9.getLabelText = function (ele, prefix) { + var _p = ele._private; + var pfd = prefix ? prefix + '-' : ''; + var text = ele.pstyle(pfd + 'label').strValue; + var textTransform = ele.pstyle('text-transform').value; + var rscratch = function rscratch(propName, value) { + if (value) { + setPrefixedProperty(_p.rscratch, propName, prefix, value); + return value; + } else { + return getPrefixedProperty(_p.rscratch, propName, prefix); + } + }; + + // for empty text, skip all processing + if (!text) { + return ''; + } + if (textTransform == 'none') ; else if (textTransform == 'uppercase') { + text = text.toUpperCase(); + } else if (textTransform == 'lowercase') { + text = text.toLowerCase(); + } + var wrapStyle = ele.pstyle('text-wrap').value; + if (wrapStyle === 'wrap') { + var labelKey = rscratch('labelKey'); + + // save recalc if the label is the same as before + if (labelKey != null && rscratch('labelWrapKey') === labelKey) { + return rscratch('labelWrapCachedText'); + } + var zwsp = "\u200B"; + var lines = text.split('\n'); + var maxW = ele.pstyle('text-max-width').pfValue; + var overflow = ele.pstyle('text-overflow-wrap').value; + var overflowAny = overflow === 'anywhere'; + var wrappedLines = []; + var wordsRegex = /[\s\u200b]+/; + var wordSeparator = overflowAny ? '' : ' '; + for (var l = 0; l < lines.length; l++) { + var line = lines[l]; + var lineDims = this.calculateLabelDimensions(ele, line); + var lineW = lineDims.width; + if (overflowAny) { + var processedLine = line.split('').join(zwsp); + line = processedLine; + } + if (lineW > maxW) { + // line is too long + var words = line.split(wordsRegex); + var subline = ''; + for (var w = 0; w < words.length; w++) { + var word = words[w]; + var testLine = subline.length === 0 ? word : subline + wordSeparator + word; + var testDims = this.calculateLabelDimensions(ele, testLine); + var testW = testDims.width; + if (testW <= maxW) { + // word fits on current line + subline += word + wordSeparator; + } else { + // word starts new line + if (subline) { + wrappedLines.push(subline); + } + subline = word + wordSeparator; + } + } + + // if there's remaining text, put it in a wrapped line + if (!subline.match(/^[\s\u200b]+$/)) { + wrappedLines.push(subline); + } + } else { + // line is already short enough + wrappedLines.push(line); + } + } // for + + rscratch('labelWrapCachedLines', wrappedLines); + text = rscratch('labelWrapCachedText', wrappedLines.join('\n')); + rscratch('labelWrapKey', labelKey); + } else if (wrapStyle === 'ellipsis') { + var _maxW = ele.pstyle('text-max-width').pfValue; + var ellipsized = ''; + var ellipsis = "\u2026"; + var incLastCh = false; + if (this.calculateLabelDimensions(ele, text).width < _maxW) { + // the label already fits + return text; + } + for (var i = 0; i < text.length; i++) { + var widthWithNextCh = this.calculateLabelDimensions(ele, ellipsized + text[i] + ellipsis).width; + if (widthWithNextCh > _maxW) { + break; + } + ellipsized += text[i]; + if (i === text.length - 1) { + incLastCh = true; + } + } + if (!incLastCh) { + ellipsized += ellipsis; + } + return ellipsized; + } // if ellipsize + + return text; +}; +BRp$9.getLabelJustification = function (ele) { + var justification = ele.pstyle('text-justification').strValue; + var textHalign = ele.pstyle('text-halign').strValue; + if (justification === 'auto') { + if (ele.isNode()) { + switch (textHalign) { + case 'left': + return 'right'; + case 'right': + return 'left'; + default: + return 'center'; + } + } else { + return 'center'; + } + } else { + return justification; + } +}; +BRp$9.calculateLabelDimensions = function (ele, text) { + var r = this; + var cacheKey = hashString(text, ele._private.labelDimsKey); + var cache = r.labelDimCache || (r.labelDimCache = []); + var existingVal = cache[cacheKey]; + if (existingVal != null) { + return existingVal; + } + var padding = 0; // add padding around text dims, as the measurement isn't that accurate + var fStyle = ele.pstyle('font-style').strValue; + var size = ele.pstyle('font-size').pfValue; + var family = ele.pstyle('font-family').strValue; + var weight = ele.pstyle('font-weight').strValue; + var canvas = this.labelCalcCanvas; + var c2d = this.labelCalcCanvasContext; + if (!canvas) { + canvas = this.labelCalcCanvas = document.createElement('canvas'); + c2d = this.labelCalcCanvasContext = canvas.getContext('2d'); + var ds = canvas.style; + ds.position = 'absolute'; + ds.left = '-9999px'; + ds.top = '-9999px'; + ds.zIndex = '-1'; + ds.visibility = 'hidden'; + ds.pointerEvents = 'none'; + } + c2d.font = "".concat(fStyle, " ").concat(weight, " ").concat(size, "px ").concat(family); + var width = 0; + var height = 0; + var lines = text.split('\n'); + for (var i = 0; i < lines.length; i++) { + var line = lines[i]; + var metrics = c2d.measureText(line); + var w = Math.ceil(metrics.width); + var h = size; + width = Math.max(w, width); + height += h; + } + width += padding; + height += padding; + return cache[cacheKey] = { + width: width, + height: height + }; +}; +BRp$9.calculateLabelAngle = function (ele, prefix) { + var _p = ele._private; + var rs = _p.rscratch; + var isEdge = ele.isEdge(); + var prefixDash = prefix ? prefix + '-' : ''; + var rot = ele.pstyle(prefixDash + 'text-rotation'); + var rotStr = rot.strValue; + if (rotStr === 'none') { + return 0; + } else if (isEdge && rotStr === 'autorotate') { + return rs.labelAutoAngle; + } else if (rotStr === 'autorotate') { + return 0; + } else { + return rot.pfValue; + } +}; +BRp$9.calculateLabelAngles = function (ele) { + var r = this; + var isEdge = ele.isEdge(); + var _p = ele._private; + var rs = _p.rscratch; + rs.labelAngle = r.calculateLabelAngle(ele); + if (isEdge) { + rs.sourceLabelAngle = r.calculateLabelAngle(ele, 'source'); + rs.targetLabelAngle = r.calculateLabelAngle(ele, 'target'); + } +}; + +var BRp$8 = {}; +var TOO_SMALL_CUT_RECT = 28; +var warnedCutRect = false; +BRp$8.getNodeShape = function (node) { + var r = this; + var shape = node.pstyle('shape').value; + if (shape === 'cutrectangle' && (node.width() < TOO_SMALL_CUT_RECT || node.height() < TOO_SMALL_CUT_RECT)) { + if (!warnedCutRect) { + warn('The `cutrectangle` node shape can not be used at small sizes so `rectangle` is used instead'); + warnedCutRect = true; + } + return 'rectangle'; + } + if (node.isParent()) { + if (shape === 'rectangle' || shape === 'roundrectangle' || shape === 'round-rectangle' || shape === 'cutrectangle' || shape === 'cut-rectangle' || shape === 'barrel') { + return shape; + } else { + return 'rectangle'; + } + } + if (shape === 'polygon') { + var points = node.pstyle('shape-polygon-points').value; + return r.nodeShapes.makePolygon(points).name; + } + return shape; +}; + +var BRp$7 = {}; +BRp$7.registerCalculationListeners = function () { + var cy = this.cy; + var elesToUpdate = cy.collection(); + var r = this; + var enqueue = function enqueue(eles) { + var dirtyStyleCaches = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; + elesToUpdate.merge(eles); + if (dirtyStyleCaches) { + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var _p = ele._private; + var rstyle = _p.rstyle; + rstyle.clean = false; + rstyle.cleanConnected = false; + } + } + }; + r.binder(cy).on('bounds.* dirty.*', function onDirtyBounds(e) { + var ele = e.target; + enqueue(ele); + }).on('style.* background.*', function onDirtyStyle(e) { + var ele = e.target; + enqueue(ele, false); + }); + var updateEleCalcs = function updateEleCalcs(willDraw) { + if (willDraw) { + var fns = r.onUpdateEleCalcsFns; + + // because we need to have up-to-date style (e.g. stylesheet mappers) + // before calculating rendered style (and pstyle might not be called yet) + elesToUpdate.cleanStyle(); + for (var i = 0; i < elesToUpdate.length; i++) { + var ele = elesToUpdate[i]; + var rstyle = ele._private.rstyle; + if (ele.isNode() && !rstyle.cleanConnected) { + enqueue(ele.connectedEdges()); + rstyle.cleanConnected = true; + } + } + if (fns) { + for (var _i = 0; _i < fns.length; _i++) { + var fn = fns[_i]; + fn(willDraw, elesToUpdate); + } + } + r.recalculateRenderedStyle(elesToUpdate); + elesToUpdate = cy.collection(); + } + }; + r.flushRenderedStyleQueue = function () { + updateEleCalcs(true); + }; + r.beforeRender(updateEleCalcs, r.beforeRenderPriorities.eleCalcs); +}; +BRp$7.onUpdateEleCalcs = function (fn) { + var fns = this.onUpdateEleCalcsFns = this.onUpdateEleCalcsFns || []; + fns.push(fn); +}; +BRp$7.recalculateRenderedStyle = function (eles, useCache) { + var isCleanConnected = function isCleanConnected(ele) { + return ele._private.rstyle.cleanConnected; + }; + var edges = []; + var nodes = []; + + // the renderer can't be used for calcs when destroyed, e.g. ele.boundingBox() + if (this.destroyed) { + return; + } + + // use cache by default for perf + if (useCache === undefined) { + useCache = true; + } + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var _p = ele._private; + var rstyle = _p.rstyle; + + // an edge may be implicitly dirty b/c of one of its connected nodes + // (and a request for recalc may come in between frames) + if (ele.isEdge() && (!isCleanConnected(ele.source()) || !isCleanConnected(ele.target()))) { + rstyle.clean = false; + } + + // only update if dirty and in graph + if (useCache && rstyle.clean || ele.removed()) { + continue; + } + + // only update if not display: none + if (ele.pstyle('display').value === 'none') { + continue; + } + if (_p.group === 'nodes') { + nodes.push(ele); + } else { + // edges + edges.push(ele); + } + rstyle.clean = true; + } + + // update node data from projections + for (var _i2 = 0; _i2 < nodes.length; _i2++) { + var _ele = nodes[_i2]; + var _p2 = _ele._private; + var _rstyle = _p2.rstyle; + var pos = _ele.position(); + this.recalculateNodeLabelProjection(_ele); + _rstyle.nodeX = pos.x; + _rstyle.nodeY = pos.y; + _rstyle.nodeW = _ele.pstyle('width').pfValue; + _rstyle.nodeH = _ele.pstyle('height').pfValue; + } + this.recalculateEdgeProjections(edges); + + // update edge data from projections + for (var _i3 = 0; _i3 < edges.length; _i3++) { + var _ele2 = edges[_i3]; + var _p3 = _ele2._private; + var _rstyle2 = _p3.rstyle; + var rs = _p3.rscratch; + + // update rstyle positions + _rstyle2.srcX = rs.arrowStartX; + _rstyle2.srcY = rs.arrowStartY; + _rstyle2.tgtX = rs.arrowEndX; + _rstyle2.tgtY = rs.arrowEndY; + _rstyle2.midX = rs.midX; + _rstyle2.midY = rs.midY; + _rstyle2.labelAngle = rs.labelAngle; + _rstyle2.sourceLabelAngle = rs.sourceLabelAngle; + _rstyle2.targetLabelAngle = rs.targetLabelAngle; + } +}; + +var BRp$6 = {}; +BRp$6.updateCachedGrabbedEles = function () { + var eles = this.cachedZSortedEles; + if (!eles) { + // just let this be recalculated on the next z sort tick + return; + } + eles.drag = []; + eles.nondrag = []; + var grabTargets = []; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var rs = ele._private.rscratch; + if (ele.grabbed() && !ele.isParent()) { + grabTargets.push(ele); + } else if (rs.inDragLayer) { + eles.drag.push(ele); + } else { + eles.nondrag.push(ele); + } + } + + // put the grab target nodes last so it's on top of its neighbourhood + for (var i = 0; i < grabTargets.length; i++) { + var ele = grabTargets[i]; + eles.drag.push(ele); + } +}; +BRp$6.invalidateCachedZSortedEles = function () { + this.cachedZSortedEles = null; +}; +BRp$6.getCachedZSortedEles = function (forceRecalc) { + if (forceRecalc || !this.cachedZSortedEles) { + var eles = this.cy.mutableElements().toArray(); + eles.sort(zIndexSort); + eles.interactive = eles.filter(function (ele) { + return ele.interactive(); + }); + this.cachedZSortedEles = eles; + this.updateCachedGrabbedEles(); + } else { + eles = this.cachedZSortedEles; + } + return eles; +}; + +var BRp$5 = {}; +[BRp$e, BRp$d, BRp$c, BRp$b, BRp$a, BRp$9, BRp$8, BRp$7, BRp$6].forEach(function (props) { + extend(BRp$5, props); +}); + +var BRp$4 = {}; +BRp$4.getCachedImage = function (url, crossOrigin, onLoad) { + var r = this; + var imageCache = r.imageCache = r.imageCache || {}; + var cache = imageCache[url]; + if (cache) { + if (!cache.image.complete) { + cache.image.addEventListener('load', onLoad); + } + return cache.image; + } else { + cache = imageCache[url] = imageCache[url] || {}; + var image = cache.image = new Image(); // eslint-disable-line no-undef + + image.addEventListener('load', onLoad); + image.addEventListener('error', function () { + image.error = true; + }); + + // #1582 safari doesn't load data uris with crossOrigin properly + // https://bugs.webkit.org/show_bug.cgi?id=123978 + var dataUriPrefix = 'data:'; + var isDataUri = url.substring(0, dataUriPrefix.length).toLowerCase() === dataUriPrefix; + if (!isDataUri) { + // if crossorigin is 'null'(stringified), then manually set it to null + crossOrigin = crossOrigin === 'null' ? null : crossOrigin; + image.crossOrigin = crossOrigin; // prevent tainted canvas + } + + image.src = url; + return image; + } +}; + +var BRp$3 = {}; + +/* global document, window, ResizeObserver, MutationObserver */ + +BRp$3.registerBinding = function (target, event, handler, useCapture) { + // eslint-disable-line no-unused-vars + var args = Array.prototype.slice.apply(arguments, [1]); // copy + var b = this.binder(target); + return b.on.apply(b, args); +}; +BRp$3.binder = function (tgt) { + var r = this; + var containerWindow = r.cy.window(); + var tgtIsDom = tgt === containerWindow || tgt === containerWindow.document || tgt === containerWindow.document.body || domElement(tgt); + if (r.supportsPassiveEvents == null) { + // from https://github.com/WICG/EventListenerOptions/blob/gh-pages/explainer.md#feature-detection + var supportsPassive = false; + try { + var opts = Object.defineProperty({}, 'passive', { + get: function get() { + supportsPassive = true; + return true; + } + }); + containerWindow.addEventListener('test', null, opts); + } catch (err) { + // not supported + } + r.supportsPassiveEvents = supportsPassive; + } + var on = function on(event, handler, useCapture) { + var args = Array.prototype.slice.call(arguments); + if (tgtIsDom && r.supportsPassiveEvents) { + // replace useCapture w/ opts obj + args[2] = { + capture: useCapture != null ? useCapture : false, + passive: false, + once: false + }; + } + r.bindings.push({ + target: tgt, + args: args + }); + (tgt.addEventListener || tgt.on).apply(tgt, args); + return this; + }; + return { + on: on, + addEventListener: on, + addListener: on, + bind: on + }; +}; +BRp$3.nodeIsDraggable = function (node) { + return node && node.isNode() && !node.locked() && node.grabbable(); +}; +BRp$3.nodeIsGrabbable = function (node) { + return this.nodeIsDraggable(node) && node.interactive(); +}; +BRp$3.load = function () { + var r = this; + var containerWindow = r.cy.window(); + var isSelected = function isSelected(ele) { + return ele.selected(); + }; + var triggerEvents = function triggerEvents(target, names, e, position) { + if (target == null) { + target = r.cy; + } + for (var i = 0; i < names.length; i++) { + var name = names[i]; + target.emit({ + originalEvent: e, + type: name, + position: position + }); + } + }; + var isMultSelKeyDown = function isMultSelKeyDown(e) { + return e.shiftKey || e.metaKey || e.ctrlKey; // maybe e.altKey + }; + + var allowPanningPassthrough = function allowPanningPassthrough(down, downs) { + var allowPassthrough = true; + if (r.cy.hasCompoundNodes() && down && down.pannable()) { + // a grabbable compound node below the ele => no passthrough panning + for (var i = 0; downs && i < downs.length; i++) { + var down = downs[i]; + + //if any parent node in event hierarchy isn't pannable, reject passthrough + if (down.isNode() && down.isParent() && !down.pannable()) { + allowPassthrough = false; + break; + } + } + } else { + allowPassthrough = true; + } + return allowPassthrough; + }; + var setGrabbed = function setGrabbed(ele) { + ele[0]._private.grabbed = true; + }; + var setFreed = function setFreed(ele) { + ele[0]._private.grabbed = false; + }; + var setInDragLayer = function setInDragLayer(ele) { + ele[0]._private.rscratch.inDragLayer = true; + }; + var setOutDragLayer = function setOutDragLayer(ele) { + ele[0]._private.rscratch.inDragLayer = false; + }; + var setGrabTarget = function setGrabTarget(ele) { + ele[0]._private.rscratch.isGrabTarget = true; + }; + var removeGrabTarget = function removeGrabTarget(ele) { + ele[0]._private.rscratch.isGrabTarget = false; + }; + var addToDragList = function addToDragList(ele, opts) { + var list = opts.addToList; + var listHasEle = list.has(ele); + if (!listHasEle && ele.grabbable() && !ele.locked()) { + list.merge(ele); + setGrabbed(ele); + } + }; + + // helper function to determine which child nodes and inner edges + // of a compound node to be dragged as well as the grabbed and selected nodes + var addDescendantsToDrag = function addDescendantsToDrag(node, opts) { + if (!node.cy().hasCompoundNodes()) { + return; + } + if (opts.inDragLayer == null && opts.addToList == null) { + return; + } // nothing to do + + var innerNodes = node.descendants(); + if (opts.inDragLayer) { + innerNodes.forEach(setInDragLayer); + innerNodes.connectedEdges().forEach(setInDragLayer); + } + if (opts.addToList) { + addToDragList(innerNodes, opts); + } + }; + + // adds the given nodes and its neighbourhood to the drag layer + var addNodesToDrag = function addNodesToDrag(nodes, opts) { + opts = opts || {}; + var hasCompoundNodes = nodes.cy().hasCompoundNodes(); + if (opts.inDragLayer) { + nodes.forEach(setInDragLayer); + nodes.neighborhood().stdFilter(function (ele) { + return !hasCompoundNodes || ele.isEdge(); + }).forEach(setInDragLayer); + } + if (opts.addToList) { + nodes.forEach(function (ele) { + addToDragList(ele, opts); + }); + } + addDescendantsToDrag(nodes, opts); // always add to drag + + // also add nodes and edges related to the topmost ancestor + updateAncestorsInDragLayer(nodes, { + inDragLayer: opts.inDragLayer + }); + r.updateCachedGrabbedEles(); + }; + var addNodeToDrag = addNodesToDrag; + var freeDraggedElements = function freeDraggedElements(grabbedEles) { + if (!grabbedEles) { + return; + } + + // just go over all elements rather than doing a bunch of (possibly expensive) traversals + r.getCachedZSortedEles().forEach(function (ele) { + setFreed(ele); + setOutDragLayer(ele); + removeGrabTarget(ele); + }); + r.updateCachedGrabbedEles(); + }; + + // helper function to determine which ancestor nodes and edges should go + // to the drag layer (or should be removed from drag layer). + var updateAncestorsInDragLayer = function updateAncestorsInDragLayer(node, opts) { + if (opts.inDragLayer == null && opts.addToList == null) { + return; + } // nothing to do + + if (!node.cy().hasCompoundNodes()) { + return; + } + + // find top-level parent + var parent = node.ancestors().orphans(); + + // no parent node: no nodes to add to the drag layer + if (parent.same(node)) { + return; + } + var nodes = parent.descendants().spawnSelf().merge(parent).unmerge(node).unmerge(node.descendants()); + var edges = nodes.connectedEdges(); + if (opts.inDragLayer) { + edges.forEach(setInDragLayer); + nodes.forEach(setInDragLayer); + } + if (opts.addToList) { + nodes.forEach(function (ele) { + addToDragList(ele, opts); + }); + } + }; + var blurActiveDomElement = function blurActiveDomElement() { + if (document.activeElement != null && document.activeElement.blur != null) { + document.activeElement.blur(); + } + }; + var haveMutationsApi = typeof MutationObserver !== 'undefined'; + var haveResizeObserverApi = typeof ResizeObserver !== 'undefined'; + + // watch for when the cy container is removed from the dom + if (haveMutationsApi) { + r.removeObserver = new MutationObserver(function (mutns) { + // eslint-disable-line no-undef + for (var i = 0; i < mutns.length; i++) { + var mutn = mutns[i]; + var rNodes = mutn.removedNodes; + if (rNodes) { + for (var j = 0; j < rNodes.length; j++) { + var rNode = rNodes[j]; + if (rNode === r.container) { + r.destroy(); + break; + } + } + } + } + }); + if (r.container.parentNode) { + r.removeObserver.observe(r.container.parentNode, { + childList: true + }); + } + } else { + r.registerBinding(r.container, 'DOMNodeRemoved', function (e) { + // eslint-disable-line no-unused-vars + r.destroy(); + }); + } + var onResize = debounce__default["default"](function () { + r.cy.resize(); + }, 100); + if (haveMutationsApi) { + r.styleObserver = new MutationObserver(onResize); // eslint-disable-line no-undef + + r.styleObserver.observe(r.container, { + attributes: true + }); + } + + // auto resize + r.registerBinding(containerWindow, 'resize', onResize); // eslint-disable-line no-undef + + if (haveResizeObserverApi) { + r.resizeObserver = new ResizeObserver(onResize); // eslint-disable-line no-undef + + r.resizeObserver.observe(r.container); + } + var forEachUp = function forEachUp(domEle, fn) { + while (domEle != null) { + fn(domEle); + domEle = domEle.parentNode; + } + }; + var invalidateCoords = function invalidateCoords() { + r.invalidateContainerClientCoordsCache(); + }; + forEachUp(r.container, function (domEle) { + r.registerBinding(domEle, 'transitionend', invalidateCoords); + r.registerBinding(domEle, 'animationend', invalidateCoords); + r.registerBinding(domEle, 'scroll', invalidateCoords); + }); + + // stop right click menu from appearing on cy + r.registerBinding(r.container, 'contextmenu', function (e) { + e.preventDefault(); + }); + var inBoxSelection = function inBoxSelection() { + return r.selection[4] !== 0; + }; + var eventInContainer = function eventInContainer(e) { + // save cycles if mouse events aren't to be captured + var containerPageCoords = r.findContainerClientCoords(); + var x = containerPageCoords[0]; + var y = containerPageCoords[1]; + var width = containerPageCoords[2]; + var height = containerPageCoords[3]; + var positions = e.touches ? e.touches : [e]; + var atLeastOnePosInside = false; + for (var i = 0; i < positions.length; i++) { + var p = positions[i]; + if (x <= p.clientX && p.clientX <= x + width && y <= p.clientY && p.clientY <= y + height) { + atLeastOnePosInside = true; + break; + } + } + if (!atLeastOnePosInside) { + return false; + } + var container = r.container; + var target = e.target; + var tParent = target.parentNode; + var containerIsTarget = false; + while (tParent) { + if (tParent === container) { + containerIsTarget = true; + break; + } + tParent = tParent.parentNode; + } + if (!containerIsTarget) { + return false; + } // if target is outisde cy container, then this event is not for us + + return true; + }; + + // Primary key + r.registerBinding(r.container, 'mousedown', function mousedownHandler(e) { + if (!eventInContainer(e)) { + return; + } + e.preventDefault(); + blurActiveDomElement(); + r.hoverData.capture = true; + r.hoverData.which = e.which; + var cy = r.cy; + var gpos = [e.clientX, e.clientY]; + var pos = r.projectIntoViewport(gpos[0], gpos[1]); + var select = r.selection; + var nears = r.findNearestElements(pos[0], pos[1], true, false); + var near = nears[0]; + var draggedElements = r.dragData.possibleDragElements; + r.hoverData.mdownPos = pos; + r.hoverData.mdownGPos = gpos; + var checkForTaphold = function checkForTaphold() { + r.hoverData.tapholdCancelled = false; + clearTimeout(r.hoverData.tapholdTimeout); + r.hoverData.tapholdTimeout = setTimeout(function () { + if (r.hoverData.tapholdCancelled) { + return; + } else { + var ele = r.hoverData.down; + if (ele) { + ele.emit({ + originalEvent: e, + type: 'taphold', + position: { + x: pos[0], + y: pos[1] + } + }); + } else { + cy.emit({ + originalEvent: e, + type: 'taphold', + position: { + x: pos[0], + y: pos[1] + } + }); + } + } + }, r.tapholdDuration); + }; + + // Right click button + if (e.which == 3) { + r.hoverData.cxtStarted = true; + var cxtEvt = { + originalEvent: e, + type: 'cxttapstart', + position: { + x: pos[0], + y: pos[1] + } + }; + if (near) { + near.activate(); + near.emit(cxtEvt); + r.hoverData.down = near; + } else { + cy.emit(cxtEvt); + } + r.hoverData.downTime = new Date().getTime(); + r.hoverData.cxtDragged = false; + + // Primary button + } else if (e.which == 1) { + if (near) { + near.activate(); + } + + // Element dragging + { + // If something is under the cursor and it is draggable, prepare to grab it + if (near != null) { + if (r.nodeIsGrabbable(near)) { + var makeEvent = function makeEvent(type) { + return { + originalEvent: e, + type: type, + position: { + x: pos[0], + y: pos[1] + } + }; + }; + var triggerGrab = function triggerGrab(ele) { + ele.emit(makeEvent('grab')); + }; + setGrabTarget(near); + if (!near.selected()) { + draggedElements = r.dragData.possibleDragElements = cy.collection(); + addNodeToDrag(near, { + addToList: draggedElements + }); + near.emit(makeEvent('grabon')).emit(makeEvent('grab')); + } else { + draggedElements = r.dragData.possibleDragElements = cy.collection(); + var selectedNodes = cy.$(function (ele) { + return ele.isNode() && ele.selected() && r.nodeIsGrabbable(ele); + }); + addNodesToDrag(selectedNodes, { + addToList: draggedElements + }); + near.emit(makeEvent('grabon')); + selectedNodes.forEach(triggerGrab); + } + r.redrawHint('eles', true); + r.redrawHint('drag', true); + } + } + r.hoverData.down = near; + r.hoverData.downs = nears; + r.hoverData.downTime = new Date().getTime(); + } + triggerEvents(near, ['mousedown', 'tapstart', 'vmousedown'], e, { + x: pos[0], + y: pos[1] + }); + if (near == null) { + select[4] = 1; + r.data.bgActivePosistion = { + x: pos[0], + y: pos[1] + }; + r.redrawHint('select', true); + r.redraw(); + } else if (near.pannable()) { + select[4] = 1; // for future pan + } + + checkForTaphold(); + } + + // Initialize selection box coordinates + select[0] = select[2] = pos[0]; + select[1] = select[3] = pos[1]; + }, false); + r.registerBinding(containerWindow, 'mousemove', function mousemoveHandler(e) { + // eslint-disable-line no-undef + var capture = r.hoverData.capture; + if (!capture && !eventInContainer(e)) { + return; + } + var preventDefault = false; + var cy = r.cy; + var zoom = cy.zoom(); + var gpos = [e.clientX, e.clientY]; + var pos = r.projectIntoViewport(gpos[0], gpos[1]); + var mdownPos = r.hoverData.mdownPos; + var mdownGPos = r.hoverData.mdownGPos; + var select = r.selection; + var near = null; + if (!r.hoverData.draggingEles && !r.hoverData.dragging && !r.hoverData.selecting) { + near = r.findNearestElement(pos[0], pos[1], true, false); + } + var last = r.hoverData.last; + var down = r.hoverData.down; + var disp = [pos[0] - select[2], pos[1] - select[3]]; + var draggedElements = r.dragData.possibleDragElements; + var isOverThresholdDrag; + if (mdownGPos) { + var dx = gpos[0] - mdownGPos[0]; + var dx2 = dx * dx; + var dy = gpos[1] - mdownGPos[1]; + var dy2 = dy * dy; + var dist2 = dx2 + dy2; + r.hoverData.isOverThresholdDrag = isOverThresholdDrag = dist2 >= r.desktopTapThreshold2; + } + var multSelKeyDown = isMultSelKeyDown(e); + if (isOverThresholdDrag) { + r.hoverData.tapholdCancelled = true; + } + var updateDragDelta = function updateDragDelta() { + var dragDelta = r.hoverData.dragDelta = r.hoverData.dragDelta || []; + if (dragDelta.length === 0) { + dragDelta.push(disp[0]); + dragDelta.push(disp[1]); + } else { + dragDelta[0] += disp[0]; + dragDelta[1] += disp[1]; + } + }; + preventDefault = true; + triggerEvents(near, ['mousemove', 'vmousemove', 'tapdrag'], e, { + x: pos[0], + y: pos[1] + }); + var goIntoBoxMode = function goIntoBoxMode() { + r.data.bgActivePosistion = undefined; + if (!r.hoverData.selecting) { + cy.emit({ + originalEvent: e, + type: 'boxstart', + position: { + x: pos[0], + y: pos[1] + } + }); + } + select[4] = 1; + r.hoverData.selecting = true; + r.redrawHint('select', true); + r.redraw(); + }; + + // trigger context drag if rmouse down + if (r.hoverData.which === 3) { + // but only if over threshold + if (isOverThresholdDrag) { + var cxtEvt = { + originalEvent: e, + type: 'cxtdrag', + position: { + x: pos[0], + y: pos[1] + } + }; + if (down) { + down.emit(cxtEvt); + } else { + cy.emit(cxtEvt); + } + r.hoverData.cxtDragged = true; + if (!r.hoverData.cxtOver || near !== r.hoverData.cxtOver) { + if (r.hoverData.cxtOver) { + r.hoverData.cxtOver.emit({ + originalEvent: e, + type: 'cxtdragout', + position: { + x: pos[0], + y: pos[1] + } + }); + } + r.hoverData.cxtOver = near; + if (near) { + near.emit({ + originalEvent: e, + type: 'cxtdragover', + position: { + x: pos[0], + y: pos[1] + } + }); + } + } + } + + // Check if we are drag panning the entire graph + } else if (r.hoverData.dragging) { + preventDefault = true; + if (cy.panningEnabled() && cy.userPanningEnabled()) { + var deltaP; + if (r.hoverData.justStartedPan) { + var mdPos = r.hoverData.mdownPos; + deltaP = { + x: (pos[0] - mdPos[0]) * zoom, + y: (pos[1] - mdPos[1]) * zoom + }; + r.hoverData.justStartedPan = false; + } else { + deltaP = { + x: disp[0] * zoom, + y: disp[1] * zoom + }; + } + cy.panBy(deltaP); + cy.emit('dragpan'); + r.hoverData.dragged = true; + } + + // Needs reproject due to pan changing viewport + pos = r.projectIntoViewport(e.clientX, e.clientY); + + // Checks primary button down & out of time & mouse not moved much + } else if (select[4] == 1 && (down == null || down.pannable())) { + if (isOverThresholdDrag) { + if (!r.hoverData.dragging && cy.boxSelectionEnabled() && (multSelKeyDown || !cy.panningEnabled() || !cy.userPanningEnabled())) { + goIntoBoxMode(); + } else if (!r.hoverData.selecting && cy.panningEnabled() && cy.userPanningEnabled()) { + var allowPassthrough = allowPanningPassthrough(down, r.hoverData.downs); + if (allowPassthrough) { + r.hoverData.dragging = true; + r.hoverData.justStartedPan = true; + select[4] = 0; + r.data.bgActivePosistion = array2point(mdownPos); + r.redrawHint('select', true); + r.redraw(); + } + } + if (down && down.pannable() && down.active()) { + down.unactivate(); + } + } + } else { + if (down && down.pannable() && down.active()) { + down.unactivate(); + } + if ((!down || !down.grabbed()) && near != last) { + if (last) { + triggerEvents(last, ['mouseout', 'tapdragout'], e, { + x: pos[0], + y: pos[1] + }); + } + if (near) { + triggerEvents(near, ['mouseover', 'tapdragover'], e, { + x: pos[0], + y: pos[1] + }); + } + r.hoverData.last = near; + } + if (down) { + if (isOverThresholdDrag) { + // then we can take action + + if (cy.boxSelectionEnabled() && multSelKeyDown) { + // then selection overrides + if (down && down.grabbed()) { + freeDraggedElements(draggedElements); + down.emit('freeon'); + draggedElements.emit('free'); + if (r.dragData.didDrag) { + down.emit('dragfreeon'); + draggedElements.emit('dragfree'); + } + } + goIntoBoxMode(); + } else if (down && down.grabbed() && r.nodeIsDraggable(down)) { + // drag node + var justStartedDrag = !r.dragData.didDrag; + if (justStartedDrag) { + r.redrawHint('eles', true); + } + r.dragData.didDrag = true; // indicate that we actually did drag the node + + // now, add the elements to the drag layer if not done already + if (!r.hoverData.draggingEles) { + addNodesToDrag(draggedElements, { + inDragLayer: true + }); + } + var totalShift = { + x: 0, + y: 0 + }; + if (number$1(disp[0]) && number$1(disp[1])) { + totalShift.x += disp[0]; + totalShift.y += disp[1]; + if (justStartedDrag) { + var dragDelta = r.hoverData.dragDelta; + if (dragDelta && number$1(dragDelta[0]) && number$1(dragDelta[1])) { + totalShift.x += dragDelta[0]; + totalShift.y += dragDelta[1]; + } + } + } + r.hoverData.draggingEles = true; + draggedElements.silentShift(totalShift).emit('position drag'); + r.redrawHint('drag', true); + r.redraw(); + } + } else { + // otherwise save drag delta for when we actually start dragging so the relative grab pos is constant + updateDragDelta(); + } + } + + // prevent the dragging from triggering text selection on the page + preventDefault = true; + } + select[2] = pos[0]; + select[3] = pos[1]; + if (preventDefault) { + if (e.stopPropagation) e.stopPropagation(); + if (e.preventDefault) e.preventDefault(); + return false; + } + }, false); + var clickTimeout, didDoubleClick, prevClickTimeStamp; + r.registerBinding(containerWindow, 'mouseup', function mouseupHandler(e) { + // eslint-disable-line no-undef + var capture = r.hoverData.capture; + if (!capture) { + return; + } + r.hoverData.capture = false; + var cy = r.cy; + var pos = r.projectIntoViewport(e.clientX, e.clientY); + var select = r.selection; + var near = r.findNearestElement(pos[0], pos[1], true, false); + var draggedElements = r.dragData.possibleDragElements; + var down = r.hoverData.down; + var multSelKeyDown = isMultSelKeyDown(e); + if (r.data.bgActivePosistion) { + r.redrawHint('select', true); + r.redraw(); + } + r.hoverData.tapholdCancelled = true; + r.data.bgActivePosistion = undefined; // not active bg now + + if (down) { + down.unactivate(); + } + if (r.hoverData.which === 3) { + var cxtEvt = { + originalEvent: e, + type: 'cxttapend', + position: { + x: pos[0], + y: pos[1] + } + }; + if (down) { + down.emit(cxtEvt); + } else { + cy.emit(cxtEvt); + } + if (!r.hoverData.cxtDragged) { + var cxtTap = { + originalEvent: e, + type: 'cxttap', + position: { + x: pos[0], + y: pos[1] + } + }; + if (down) { + down.emit(cxtTap); + } else { + cy.emit(cxtTap); + } + } + r.hoverData.cxtDragged = false; + r.hoverData.which = null; + } else if (r.hoverData.which === 1) { + triggerEvents(near, ['mouseup', 'tapend', 'vmouseup'], e, { + x: pos[0], + y: pos[1] + }); + if (!r.dragData.didDrag && + // didn't move a node around + !r.hoverData.dragged && + // didn't pan + !r.hoverData.selecting && + // not box selection + !r.hoverData.isOverThresholdDrag // didn't move too much + ) { + triggerEvents(down, ["click", "tap", "vclick"], e, { + x: pos[0], + y: pos[1] + }); + didDoubleClick = false; + if (e.timeStamp - prevClickTimeStamp <= cy.multiClickDebounceTime()) { + clickTimeout && clearTimeout(clickTimeout); + didDoubleClick = true; + prevClickTimeStamp = null; + triggerEvents(down, ["dblclick", "dbltap", "vdblclick"], e, { + x: pos[0], + y: pos[1] + }); + } else { + clickTimeout = setTimeout(function () { + if (didDoubleClick) return; + triggerEvents(down, ["oneclick", "onetap", "voneclick"], e, { + x: pos[0], + y: pos[1] + }); + }, cy.multiClickDebounceTime()); + prevClickTimeStamp = e.timeStamp; + } + } + + // Deselect all elements if nothing is currently under the mouse cursor and we aren't dragging something + if (down == null // not mousedown on node + && !r.dragData.didDrag // didn't move the node around + && !r.hoverData.selecting // not box selection + && !r.hoverData.dragged // didn't pan + && !isMultSelKeyDown(e)) { + cy.$(isSelected).unselect(['tapunselect']); + if (draggedElements.length > 0) { + r.redrawHint('eles', true); + } + r.dragData.possibleDragElements = draggedElements = cy.collection(); + } + + // Single selection + if (near == down && !r.dragData.didDrag && !r.hoverData.selecting) { + if (near != null && near._private.selectable) { + if (r.hoverData.dragging) ; else if (cy.selectionType() === 'additive' || multSelKeyDown) { + if (near.selected()) { + near.unselect(['tapunselect']); + } else { + near.select(['tapselect']); + } + } else { + if (!multSelKeyDown) { + cy.$(isSelected).unmerge(near).unselect(['tapunselect']); + near.select(['tapselect']); + } + } + r.redrawHint('eles', true); + } + } + if (r.hoverData.selecting) { + var box = cy.collection(r.getAllInBox(select[0], select[1], select[2], select[3])); + r.redrawHint('select', true); + if (box.length > 0) { + r.redrawHint('eles', true); + } + cy.emit({ + type: 'boxend', + originalEvent: e, + position: { + x: pos[0], + y: pos[1] + } + }); + var eleWouldBeSelected = function eleWouldBeSelected(ele) { + return ele.selectable() && !ele.selected(); + }; + if (cy.selectionType() === 'additive') { + box.emit('box').stdFilter(eleWouldBeSelected).select().emit('boxselect'); + } else { + if (!multSelKeyDown) { + cy.$(isSelected).unmerge(box).unselect(); + } + box.emit('box').stdFilter(eleWouldBeSelected).select().emit('boxselect'); + } + + // always need redraw in case eles unselectable + r.redraw(); + } + + // Cancel drag pan + if (r.hoverData.dragging) { + r.hoverData.dragging = false; + r.redrawHint('select', true); + r.redrawHint('eles', true); + r.redraw(); + } + if (!select[4]) { + r.redrawHint('drag', true); + r.redrawHint('eles', true); + var downWasGrabbed = down && down.grabbed(); + freeDraggedElements(draggedElements); + if (downWasGrabbed) { + down.emit('freeon'); + draggedElements.emit('free'); + if (r.dragData.didDrag) { + down.emit('dragfreeon'); + draggedElements.emit('dragfree'); + } + } + } + } // else not right mouse + + select[4] = 0; + r.hoverData.down = null; + r.hoverData.cxtStarted = false; + r.hoverData.draggingEles = false; + r.hoverData.selecting = false; + r.hoverData.isOverThresholdDrag = false; + r.dragData.didDrag = false; + r.hoverData.dragged = false; + r.hoverData.dragDelta = []; + r.hoverData.mdownPos = null; + r.hoverData.mdownGPos = null; + }, false); + var wheelHandler = function wheelHandler(e) { + if (r.scrollingPage) { + return; + } // while scrolling, ignore wheel-to-zoom + + var cy = r.cy; + var zoom = cy.zoom(); + var pan = cy.pan(); + var pos = r.projectIntoViewport(e.clientX, e.clientY); + var rpos = [pos[0] * zoom + pan.x, pos[1] * zoom + pan.y]; + if (r.hoverData.draggingEles || r.hoverData.dragging || r.hoverData.cxtStarted || inBoxSelection()) { + // if pan dragging or cxt dragging, wheel movements make no zoom + e.preventDefault(); + return; + } + if (cy.panningEnabled() && cy.userPanningEnabled() && cy.zoomingEnabled() && cy.userZoomingEnabled()) { + e.preventDefault(); + r.data.wheelZooming = true; + clearTimeout(r.data.wheelTimeout); + r.data.wheelTimeout = setTimeout(function () { + r.data.wheelZooming = false; + r.redrawHint('eles', true); + r.redraw(); + }, 150); + var diff; + if (e.deltaY != null) { + diff = e.deltaY / -250; + } else if (e.wheelDeltaY != null) { + diff = e.wheelDeltaY / 1000; + } else { + diff = e.wheelDelta / 1000; + } + diff = diff * r.wheelSensitivity; + var needsWheelFix = e.deltaMode === 1; + if (needsWheelFix) { + // fixes slow wheel events on ff/linux and ff/windows + diff *= 33; + } + var newZoom = cy.zoom() * Math.pow(10, diff); + if (e.type === 'gesturechange') { + newZoom = r.gestureStartZoom * e.scale; + } + cy.zoom({ + level: newZoom, + renderedPosition: { + x: rpos[0], + y: rpos[1] + } + }); + cy.emit(e.type === 'gesturechange' ? 'pinchzoom' : 'scrollzoom'); + } + }; + + // Functions to help with whether mouse wheel should trigger zooming + // -- + r.registerBinding(r.container, 'wheel', wheelHandler, true); + + // disable nonstandard wheel events + // r.registerBinding(r.container, 'mousewheel', wheelHandler, true); + // r.registerBinding(r.container, 'DOMMouseScroll', wheelHandler, true); + // r.registerBinding(r.container, 'MozMousePixelScroll', wheelHandler, true); // older firefox + + r.registerBinding(containerWindow, 'scroll', function scrollHandler(e) { + // eslint-disable-line no-unused-vars + r.scrollingPage = true; + clearTimeout(r.scrollingPageTimeout); + r.scrollingPageTimeout = setTimeout(function () { + r.scrollingPage = false; + }, 250); + }, true); + + // desktop safari pinch to zoom start + r.registerBinding(r.container, 'gesturestart', function gestureStartHandler(e) { + r.gestureStartZoom = r.cy.zoom(); + if (!r.hasTouchStarted) { + // don't affect touch devices like iphone + e.preventDefault(); + } + }, true); + r.registerBinding(r.container, 'gesturechange', function (e) { + if (!r.hasTouchStarted) { + // don't affect touch devices like iphone + wheelHandler(e); + } + }, true); + + // Functions to help with handling mouseout/mouseover on the Cytoscape container + // Handle mouseout on Cytoscape container + r.registerBinding(r.container, 'mouseout', function mouseOutHandler(e) { + var pos = r.projectIntoViewport(e.clientX, e.clientY); + r.cy.emit({ + originalEvent: e, + type: 'mouseout', + position: { + x: pos[0], + y: pos[1] + } + }); + }, false); + r.registerBinding(r.container, 'mouseover', function mouseOverHandler(e) { + var pos = r.projectIntoViewport(e.clientX, e.clientY); + r.cy.emit({ + originalEvent: e, + type: 'mouseover', + position: { + x: pos[0], + y: pos[1] + } + }); + }, false); + var f1x1, f1y1, f2x1, f2y1; // starting points for pinch-to-zoom + var distance1, distance1Sq; // initial distance between finger 1 and finger 2 for pinch-to-zoom + var center1, modelCenter1; // center point on start pinch to zoom + var offsetLeft, offsetTop; + var containerWidth, containerHeight; + var twoFingersStartInside; + var distance = function distance(x1, y1, x2, y2) { + return Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1)); + }; + var distanceSq = function distanceSq(x1, y1, x2, y2) { + return (x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1); + }; + var touchstartHandler; + r.registerBinding(r.container, 'touchstart', touchstartHandler = function touchstartHandler(e) { + r.hasTouchStarted = true; + if (!eventInContainer(e)) { + return; + } + blurActiveDomElement(); + r.touchData.capture = true; + r.data.bgActivePosistion = undefined; + var cy = r.cy; + var now = r.touchData.now; + var earlier = r.touchData.earlier; + if (e.touches[0]) { + var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); + now[0] = pos[0]; + now[1] = pos[1]; + } + if (e.touches[1]) { + var pos = r.projectIntoViewport(e.touches[1].clientX, e.touches[1].clientY); + now[2] = pos[0]; + now[3] = pos[1]; + } + if (e.touches[2]) { + var pos = r.projectIntoViewport(e.touches[2].clientX, e.touches[2].clientY); + now[4] = pos[0]; + now[5] = pos[1]; + } + + // record starting points for pinch-to-zoom + if (e.touches[1]) { + r.touchData.singleTouchMoved = true; + freeDraggedElements(r.dragData.touchDragEles); + var offsets = r.findContainerClientCoords(); + offsetLeft = offsets[0]; + offsetTop = offsets[1]; + containerWidth = offsets[2]; + containerHeight = offsets[3]; + f1x1 = e.touches[0].clientX - offsetLeft; + f1y1 = e.touches[0].clientY - offsetTop; + f2x1 = e.touches[1].clientX - offsetLeft; + f2y1 = e.touches[1].clientY - offsetTop; + twoFingersStartInside = 0 <= f1x1 && f1x1 <= containerWidth && 0 <= f2x1 && f2x1 <= containerWidth && 0 <= f1y1 && f1y1 <= containerHeight && 0 <= f2y1 && f2y1 <= containerHeight; + var pan = cy.pan(); + var zoom = cy.zoom(); + distance1 = distance(f1x1, f1y1, f2x1, f2y1); + distance1Sq = distanceSq(f1x1, f1y1, f2x1, f2y1); + center1 = [(f1x1 + f2x1) / 2, (f1y1 + f2y1) / 2]; + modelCenter1 = [(center1[0] - pan.x) / zoom, (center1[1] - pan.y) / zoom]; + + // consider context tap + var cxtDistThreshold = 200; + var cxtDistThresholdSq = cxtDistThreshold * cxtDistThreshold; + if (distance1Sq < cxtDistThresholdSq && !e.touches[2]) { + var near1 = r.findNearestElement(now[0], now[1], true, true); + var near2 = r.findNearestElement(now[2], now[3], true, true); + if (near1 && near1.isNode()) { + near1.activate().emit({ + originalEvent: e, + type: 'cxttapstart', + position: { + x: now[0], + y: now[1] + } + }); + r.touchData.start = near1; + } else if (near2 && near2.isNode()) { + near2.activate().emit({ + originalEvent: e, + type: 'cxttapstart', + position: { + x: now[0], + y: now[1] + } + }); + r.touchData.start = near2; + } else { + cy.emit({ + originalEvent: e, + type: 'cxttapstart', + position: { + x: now[0], + y: now[1] + } + }); + } + if (r.touchData.start) { + r.touchData.start._private.grabbed = false; + } + r.touchData.cxt = true; + r.touchData.cxtDragged = false; + r.data.bgActivePosistion = undefined; + r.redraw(); + return; + } + } + if (e.touches[2]) { + // ignore + + // safari on ios pans the page otherwise (normally you should be able to preventdefault on touchmove...) + if (cy.boxSelectionEnabled()) { + e.preventDefault(); + } + } else if (e.touches[1]) ; else if (e.touches[0]) { + var nears = r.findNearestElements(now[0], now[1], true, true); + var near = nears[0]; + if (near != null) { + near.activate(); + r.touchData.start = near; + r.touchData.starts = nears; + if (r.nodeIsGrabbable(near)) { + var draggedEles = r.dragData.touchDragEles = cy.collection(); + var selectedNodes = null; + r.redrawHint('eles', true); + r.redrawHint('drag', true); + if (near.selected()) { + // reset drag elements, since near will be added again + + selectedNodes = cy.$(function (ele) { + return ele.selected() && r.nodeIsGrabbable(ele); + }); + addNodesToDrag(selectedNodes, { + addToList: draggedEles + }); + } else { + addNodeToDrag(near, { + addToList: draggedEles + }); + } + setGrabTarget(near); + var makeEvent = function makeEvent(type) { + return { + originalEvent: e, + type: type, + position: { + x: now[0], + y: now[1] + } + }; + }; + near.emit(makeEvent('grabon')); + if (selectedNodes) { + selectedNodes.forEach(function (n) { + n.emit(makeEvent('grab')); + }); + } else { + near.emit(makeEvent('grab')); + } + } + } + triggerEvents(near, ['touchstart', 'tapstart', 'vmousedown'], e, { + x: now[0], + y: now[1] + }); + if (near == null) { + r.data.bgActivePosistion = { + x: pos[0], + y: pos[1] + }; + r.redrawHint('select', true); + r.redraw(); + } + + // Tap, taphold + // ----- + + r.touchData.singleTouchMoved = false; + r.touchData.singleTouchStartTime = +new Date(); + clearTimeout(r.touchData.tapholdTimeout); + r.touchData.tapholdTimeout = setTimeout(function () { + if (r.touchData.singleTouchMoved === false && !r.pinching // if pinching, then taphold unselect shouldn't take effect + && !r.touchData.selecting // box selection shouldn't allow taphold through + ) { + triggerEvents(r.touchData.start, ['taphold'], e, { + x: now[0], + y: now[1] + }); + } + }, r.tapholdDuration); + } + if (e.touches.length >= 1) { + var sPos = r.touchData.startPosition = [null, null, null, null, null, null]; + for (var i = 0; i < now.length; i++) { + sPos[i] = earlier[i] = now[i]; + } + var touch0 = e.touches[0]; + r.touchData.startGPosition = [touch0.clientX, touch0.clientY]; + } + }, false); + var touchmoveHandler; + r.registerBinding(window, 'touchmove', touchmoveHandler = function touchmoveHandler(e) { + // eslint-disable-line no-undef + var capture = r.touchData.capture; + if (!capture && !eventInContainer(e)) { + return; + } + var select = r.selection; + var cy = r.cy; + var now = r.touchData.now; + var earlier = r.touchData.earlier; + var zoom = cy.zoom(); + if (e.touches[0]) { + var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); + now[0] = pos[0]; + now[1] = pos[1]; + } + if (e.touches[1]) { + var pos = r.projectIntoViewport(e.touches[1].clientX, e.touches[1].clientY); + now[2] = pos[0]; + now[3] = pos[1]; + } + if (e.touches[2]) { + var pos = r.projectIntoViewport(e.touches[2].clientX, e.touches[2].clientY); + now[4] = pos[0]; + now[5] = pos[1]; + } + var startGPos = r.touchData.startGPosition; + var isOverThresholdDrag; + if (capture && e.touches[0] && startGPos) { + var disp = []; + for (var j = 0; j < now.length; j++) { + disp[j] = now[j] - earlier[j]; + } + var dx = e.touches[0].clientX - startGPos[0]; + var dx2 = dx * dx; + var dy = e.touches[0].clientY - startGPos[1]; + var dy2 = dy * dy; + var dist2 = dx2 + dy2; + isOverThresholdDrag = dist2 >= r.touchTapThreshold2; + } + + // context swipe cancelling + if (capture && r.touchData.cxt) { + e.preventDefault(); + var f1x2 = e.touches[0].clientX - offsetLeft, + f1y2 = e.touches[0].clientY - offsetTop; + var f2x2 = e.touches[1].clientX - offsetLeft, + f2y2 = e.touches[1].clientY - offsetTop; + // var distance2 = distance( f1x2, f1y2, f2x2, f2y2 ); + var distance2Sq = distanceSq(f1x2, f1y2, f2x2, f2y2); + var factorSq = distance2Sq / distance1Sq; + var distThreshold = 150; + var distThresholdSq = distThreshold * distThreshold; + var factorThreshold = 1.5; + var factorThresholdSq = factorThreshold * factorThreshold; + + // cancel ctx gestures if the distance b/t the fingers increases + if (factorSq >= factorThresholdSq || distance2Sq >= distThresholdSq) { + r.touchData.cxt = false; + r.data.bgActivePosistion = undefined; + r.redrawHint('select', true); + var cxtEvt = { + originalEvent: e, + type: 'cxttapend', + position: { + x: now[0], + y: now[1] + } + }; + if (r.touchData.start) { + r.touchData.start.unactivate().emit(cxtEvt); + r.touchData.start = null; + } else { + cy.emit(cxtEvt); + } + } + } + + // context swipe + if (capture && r.touchData.cxt) { + var cxtEvt = { + originalEvent: e, + type: 'cxtdrag', + position: { + x: now[0], + y: now[1] + } + }; + r.data.bgActivePosistion = undefined; + r.redrawHint('select', true); + if (r.touchData.start) { + r.touchData.start.emit(cxtEvt); + } else { + cy.emit(cxtEvt); + } + if (r.touchData.start) { + r.touchData.start._private.grabbed = false; + } + r.touchData.cxtDragged = true; + var near = r.findNearestElement(now[0], now[1], true, true); + if (!r.touchData.cxtOver || near !== r.touchData.cxtOver) { + if (r.touchData.cxtOver) { + r.touchData.cxtOver.emit({ + originalEvent: e, + type: 'cxtdragout', + position: { + x: now[0], + y: now[1] + } + }); + } + r.touchData.cxtOver = near; + if (near) { + near.emit({ + originalEvent: e, + type: 'cxtdragover', + position: { + x: now[0], + y: now[1] + } + }); + } + } + + // box selection + } else if (capture && e.touches[2] && cy.boxSelectionEnabled()) { + e.preventDefault(); + r.data.bgActivePosistion = undefined; + this.lastThreeTouch = +new Date(); + if (!r.touchData.selecting) { + cy.emit({ + originalEvent: e, + type: 'boxstart', + position: { + x: now[0], + y: now[1] + } + }); + } + r.touchData.selecting = true; + r.touchData.didSelect = true; + select[4] = 1; + if (!select || select.length === 0 || select[0] === undefined) { + select[0] = (now[0] + now[2] + now[4]) / 3; + select[1] = (now[1] + now[3] + now[5]) / 3; + select[2] = (now[0] + now[2] + now[4]) / 3 + 1; + select[3] = (now[1] + now[3] + now[5]) / 3 + 1; + } else { + select[2] = (now[0] + now[2] + now[4]) / 3; + select[3] = (now[1] + now[3] + now[5]) / 3; + } + r.redrawHint('select', true); + r.redraw(); + + // pinch to zoom + } else if (capture && e.touches[1] && !r.touchData.didSelect // don't allow box selection to degrade to pinch-to-zoom + && cy.zoomingEnabled() && cy.panningEnabled() && cy.userZoomingEnabled() && cy.userPanningEnabled()) { + // two fingers => pinch to zoom + e.preventDefault(); + r.data.bgActivePosistion = undefined; + r.redrawHint('select', true); + var draggedEles = r.dragData.touchDragEles; + if (draggedEles) { + r.redrawHint('drag', true); + for (var i = 0; i < draggedEles.length; i++) { + var de_p = draggedEles[i]._private; + de_p.grabbed = false; + de_p.rscratch.inDragLayer = false; + } + } + var _start = r.touchData.start; + + // (x2, y2) for fingers 1 and 2 + var f1x2 = e.touches[0].clientX - offsetLeft, + f1y2 = e.touches[0].clientY - offsetTop; + var f2x2 = e.touches[1].clientX - offsetLeft, + f2y2 = e.touches[1].clientY - offsetTop; + var distance2 = distance(f1x2, f1y2, f2x2, f2y2); + // var distance2Sq = distanceSq( f1x2, f1y2, f2x2, f2y2 ); + // var factor = Math.sqrt( distance2Sq ) / Math.sqrt( distance1Sq ); + var factor = distance2 / distance1; + if (twoFingersStartInside) { + // delta finger1 + var df1x = f1x2 - f1x1; + var df1y = f1y2 - f1y1; + + // delta finger 2 + var df2x = f2x2 - f2x1; + var df2y = f2y2 - f2y1; + + // translation is the normalised vector of the two fingers movement + // i.e. so pinching cancels out and moving together pans + var tx = (df1x + df2x) / 2; + var ty = (df1y + df2y) / 2; + + // now calculate the zoom + var zoom1 = cy.zoom(); + var zoom2 = zoom1 * factor; + var pan1 = cy.pan(); + + // the model center point converted to the current rendered pos + var ctrx = modelCenter1[0] * zoom1 + pan1.x; + var ctry = modelCenter1[1] * zoom1 + pan1.y; + var pan2 = { + x: -zoom2 / zoom1 * (ctrx - pan1.x - tx) + ctrx, + y: -zoom2 / zoom1 * (ctry - pan1.y - ty) + ctry + }; + + // remove dragged eles + if (_start && _start.active()) { + var draggedEles = r.dragData.touchDragEles; + freeDraggedElements(draggedEles); + r.redrawHint('drag', true); + r.redrawHint('eles', true); + _start.unactivate().emit('freeon'); + draggedEles.emit('free'); + if (r.dragData.didDrag) { + _start.emit('dragfreeon'); + draggedEles.emit('dragfree'); + } + } + cy.viewport({ + zoom: zoom2, + pan: pan2, + cancelOnFailedZoom: true + }); + cy.emit('pinchzoom'); + distance1 = distance2; + f1x1 = f1x2; + f1y1 = f1y2; + f2x1 = f2x2; + f2y1 = f2y2; + r.pinching = true; + } + + // Re-project + if (e.touches[0]) { + var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); + now[0] = pos[0]; + now[1] = pos[1]; + } + if (e.touches[1]) { + var pos = r.projectIntoViewport(e.touches[1].clientX, e.touches[1].clientY); + now[2] = pos[0]; + now[3] = pos[1]; + } + if (e.touches[2]) { + var pos = r.projectIntoViewport(e.touches[2].clientX, e.touches[2].clientY); + now[4] = pos[0]; + now[5] = pos[1]; + } + } else if (e.touches[0] && !r.touchData.didSelect // don't allow box selection to degrade to single finger events like panning + ) { + var start = r.touchData.start; + var last = r.touchData.last; + var near; + if (!r.hoverData.draggingEles && !r.swipePanning) { + near = r.findNearestElement(now[0], now[1], true, true); + } + if (capture && start != null) { + e.preventDefault(); + } + + // dragging nodes + if (capture && start != null && r.nodeIsDraggable(start)) { + if (isOverThresholdDrag) { + // then dragging can happen + var draggedEles = r.dragData.touchDragEles; + var justStartedDrag = !r.dragData.didDrag; + if (justStartedDrag) { + addNodesToDrag(draggedEles, { + inDragLayer: true + }); + } + r.dragData.didDrag = true; + var totalShift = { + x: 0, + y: 0 + }; + if (number$1(disp[0]) && number$1(disp[1])) { + totalShift.x += disp[0]; + totalShift.y += disp[1]; + if (justStartedDrag) { + r.redrawHint('eles', true); + var dragDelta = r.touchData.dragDelta; + if (dragDelta && number$1(dragDelta[0]) && number$1(dragDelta[1])) { + totalShift.x += dragDelta[0]; + totalShift.y += dragDelta[1]; + } + } + } + r.hoverData.draggingEles = true; + draggedEles.silentShift(totalShift).emit('position drag'); + r.redrawHint('drag', true); + if (r.touchData.startPosition[0] == earlier[0] && r.touchData.startPosition[1] == earlier[1]) { + r.redrawHint('eles', true); + } + r.redraw(); + } else { + // otherwise keep track of drag delta for later + var dragDelta = r.touchData.dragDelta = r.touchData.dragDelta || []; + if (dragDelta.length === 0) { + dragDelta.push(disp[0]); + dragDelta.push(disp[1]); + } else { + dragDelta[0] += disp[0]; + dragDelta[1] += disp[1]; + } + } + } + + // touchmove + { + triggerEvents(start || near, ['touchmove', 'tapdrag', 'vmousemove'], e, { + x: now[0], + y: now[1] + }); + if ((!start || !start.grabbed()) && near != last) { + if (last) { + last.emit({ + originalEvent: e, + type: 'tapdragout', + position: { + x: now[0], + y: now[1] + } + }); + } + if (near) { + near.emit({ + originalEvent: e, + type: 'tapdragover', + position: { + x: now[0], + y: now[1] + } + }); + } + } + r.touchData.last = near; + } + + // check to cancel taphold + if (capture) { + for (var i = 0; i < now.length; i++) { + if (now[i] && r.touchData.startPosition[i] && isOverThresholdDrag) { + r.touchData.singleTouchMoved = true; + } + } + } + + // panning + if (capture && (start == null || start.pannable()) && cy.panningEnabled() && cy.userPanningEnabled()) { + var allowPassthrough = allowPanningPassthrough(start, r.touchData.starts); + if (allowPassthrough) { + e.preventDefault(); + if (!r.data.bgActivePosistion) { + r.data.bgActivePosistion = array2point(r.touchData.startPosition); + } + if (r.swipePanning) { + cy.panBy({ + x: disp[0] * zoom, + y: disp[1] * zoom + }); + cy.emit('dragpan'); + } else if (isOverThresholdDrag) { + r.swipePanning = true; + cy.panBy({ + x: dx * zoom, + y: dy * zoom + }); + cy.emit('dragpan'); + if (start) { + start.unactivate(); + r.redrawHint('select', true); + r.touchData.start = null; + } + } + } + + // Re-project + var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); + now[0] = pos[0]; + now[1] = pos[1]; + } + } + for (var j = 0; j < now.length; j++) { + earlier[j] = now[j]; + } + + // the active bg indicator should be removed when making a swipe that is neither for dragging nodes or panning + if (capture && e.touches.length > 0 && !r.hoverData.draggingEles && !r.swipePanning && r.data.bgActivePosistion != null) { + r.data.bgActivePosistion = undefined; + r.redrawHint('select', true); + r.redraw(); + } + }, false); + var touchcancelHandler; + r.registerBinding(containerWindow, 'touchcancel', touchcancelHandler = function touchcancelHandler(e) { + // eslint-disable-line no-unused-vars + var start = r.touchData.start; + r.touchData.capture = false; + if (start) { + start.unactivate(); + } + }); + var touchendHandler, didDoubleTouch, touchTimeout, prevTouchTimeStamp; + r.registerBinding(containerWindow, 'touchend', touchendHandler = function touchendHandler(e) { + // eslint-disable-line no-unused-vars + var start = r.touchData.start; + var capture = r.touchData.capture; + if (capture) { + if (e.touches.length === 0) { + r.touchData.capture = false; + } + e.preventDefault(); + } else { + return; + } + var select = r.selection; + r.swipePanning = false; + r.hoverData.draggingEles = false; + var cy = r.cy; + var zoom = cy.zoom(); + var now = r.touchData.now; + var earlier = r.touchData.earlier; + if (e.touches[0]) { + var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); + now[0] = pos[0]; + now[1] = pos[1]; + } + if (e.touches[1]) { + var pos = r.projectIntoViewport(e.touches[1].clientX, e.touches[1].clientY); + now[2] = pos[0]; + now[3] = pos[1]; + } + if (e.touches[2]) { + var pos = r.projectIntoViewport(e.touches[2].clientX, e.touches[2].clientY); + now[4] = pos[0]; + now[5] = pos[1]; + } + if (start) { + start.unactivate(); + } + var ctxTapend; + if (r.touchData.cxt) { + ctxTapend = { + originalEvent: e, + type: 'cxttapend', + position: { + x: now[0], + y: now[1] + } + }; + if (start) { + start.emit(ctxTapend); + } else { + cy.emit(ctxTapend); + } + if (!r.touchData.cxtDragged) { + var ctxTap = { + originalEvent: e, + type: 'cxttap', + position: { + x: now[0], + y: now[1] + } + }; + if (start) { + start.emit(ctxTap); + } else { + cy.emit(ctxTap); + } + } + if (r.touchData.start) { + r.touchData.start._private.grabbed = false; + } + r.touchData.cxt = false; + r.touchData.start = null; + r.redraw(); + return; + } + + // no more box selection if we don't have three fingers + if (!e.touches[2] && cy.boxSelectionEnabled() && r.touchData.selecting) { + r.touchData.selecting = false; + var box = cy.collection(r.getAllInBox(select[0], select[1], select[2], select[3])); + select[0] = undefined; + select[1] = undefined; + select[2] = undefined; + select[3] = undefined; + select[4] = 0; + r.redrawHint('select', true); + cy.emit({ + type: 'boxend', + originalEvent: e, + position: { + x: now[0], + y: now[1] + } + }); + var eleWouldBeSelected = function eleWouldBeSelected(ele) { + return ele.selectable() && !ele.selected(); + }; + box.emit('box').stdFilter(eleWouldBeSelected).select().emit('boxselect'); + if (box.nonempty()) { + r.redrawHint('eles', true); + } + r.redraw(); + } + if (start != null) { + start.unactivate(); + } + if (e.touches[2]) { + r.data.bgActivePosistion = undefined; + r.redrawHint('select', true); + } else if (e.touches[1]) ; else if (e.touches[0]) ; else if (!e.touches[0]) { + r.data.bgActivePosistion = undefined; + r.redrawHint('select', true); + var draggedEles = r.dragData.touchDragEles; + if (start != null) { + var startWasGrabbed = start._private.grabbed; + freeDraggedElements(draggedEles); + r.redrawHint('drag', true); + r.redrawHint('eles', true); + if (startWasGrabbed) { + start.emit('freeon'); + draggedEles.emit('free'); + if (r.dragData.didDrag) { + start.emit('dragfreeon'); + draggedEles.emit('dragfree'); + } + } + triggerEvents(start, ['touchend', 'tapend', 'vmouseup', 'tapdragout'], e, { + x: now[0], + y: now[1] + }); + start.unactivate(); + r.touchData.start = null; + } else { + var near = r.findNearestElement(now[0], now[1], true, true); + triggerEvents(near, ['touchend', 'tapend', 'vmouseup', 'tapdragout'], e, { + x: now[0], + y: now[1] + }); + } + var dx = r.touchData.startPosition[0] - now[0]; + var dx2 = dx * dx; + var dy = r.touchData.startPosition[1] - now[1]; + var dy2 = dy * dy; + var dist2 = dx2 + dy2; + var rdist2 = dist2 * zoom * zoom; + + // Tap event, roughly same as mouse click event for touch + if (!r.touchData.singleTouchMoved) { + if (!start) { + cy.$(':selected').unselect(['tapunselect']); + } + triggerEvents(start, ['tap', 'vclick'], e, { + x: now[0], + y: now[1] + }); + didDoubleTouch = false; + if (e.timeStamp - prevTouchTimeStamp <= cy.multiClickDebounceTime()) { + touchTimeout && clearTimeout(touchTimeout); + didDoubleTouch = true; + prevTouchTimeStamp = null; + triggerEvents(start, ['dbltap', 'vdblclick'], e, { + x: now[0], + y: now[1] + }); + } else { + touchTimeout = setTimeout(function () { + if (didDoubleTouch) return; + triggerEvents(start, ['onetap', 'voneclick'], e, { + x: now[0], + y: now[1] + }); + }, cy.multiClickDebounceTime()); + prevTouchTimeStamp = e.timeStamp; + } + } + + // Prepare to select the currently touched node, only if it hasn't been dragged past a certain distance + if (start != null && !r.dragData.didDrag // didn't drag nodes around + && start._private.selectable && rdist2 < r.touchTapThreshold2 && !r.pinching // pinch to zoom should not affect selection + ) { + if (cy.selectionType() === 'single') { + cy.$(isSelected).unmerge(start).unselect(['tapunselect']); + start.select(['tapselect']); + } else { + if (start.selected()) { + start.unselect(['tapunselect']); + } else { + start.select(['tapselect']); + } + } + r.redrawHint('eles', true); + } + r.touchData.singleTouchMoved = true; + } + for (var j = 0; j < now.length; j++) { + earlier[j] = now[j]; + } + r.dragData.didDrag = false; // reset for next touchstart + + if (e.touches.length === 0) { + r.touchData.dragDelta = []; + r.touchData.startPosition = [null, null, null, null, null, null]; + r.touchData.startGPosition = null; + r.touchData.didSelect = false; + } + if (e.touches.length < 2) { + if (e.touches.length === 1) { + // the old start global pos'n may not be the same finger that remains + r.touchData.startGPosition = [e.touches[0].clientX, e.touches[0].clientY]; + } + r.pinching = false; + r.redrawHint('eles', true); + r.redraw(); + } + + //r.redraw(); + }, false); + + // fallback compatibility layer for ms pointer events + if (typeof TouchEvent === 'undefined') { + var pointers = []; + var makeTouch = function makeTouch(e) { + return { + clientX: e.clientX, + clientY: e.clientY, + force: 1, + identifier: e.pointerId, + pageX: e.pageX, + pageY: e.pageY, + radiusX: e.width / 2, + radiusY: e.height / 2, + screenX: e.screenX, + screenY: e.screenY, + target: e.target + }; + }; + var makePointer = function makePointer(e) { + return { + event: e, + touch: makeTouch(e) + }; + }; + var addPointer = function addPointer(e) { + pointers.push(makePointer(e)); + }; + var removePointer = function removePointer(e) { + for (var i = 0; i < pointers.length; i++) { + var p = pointers[i]; + if (p.event.pointerId === e.pointerId) { + pointers.splice(i, 1); + return; + } + } + }; + var updatePointer = function updatePointer(e) { + var p = pointers.filter(function (p) { + return p.event.pointerId === e.pointerId; + })[0]; + p.event = e; + p.touch = makeTouch(e); + }; + var addTouchesToEvent = function addTouchesToEvent(e) { + e.touches = pointers.map(function (p) { + return p.touch; + }); + }; + var pointerIsMouse = function pointerIsMouse(e) { + return e.pointerType === 'mouse' || e.pointerType === 4; + }; + r.registerBinding(r.container, 'pointerdown', function (e) { + if (pointerIsMouse(e)) { + return; + } // mouse already handled + + e.preventDefault(); + addPointer(e); + addTouchesToEvent(e); + touchstartHandler(e); + }); + r.registerBinding(r.container, 'pointerup', function (e) { + if (pointerIsMouse(e)) { + return; + } // mouse already handled + + removePointer(e); + addTouchesToEvent(e); + touchendHandler(e); + }); + r.registerBinding(r.container, 'pointercancel', function (e) { + if (pointerIsMouse(e)) { + return; + } // mouse already handled + + removePointer(e); + addTouchesToEvent(e); + touchcancelHandler(e); + }); + r.registerBinding(r.container, 'pointermove', function (e) { + if (pointerIsMouse(e)) { + return; + } // mouse already handled + + e.preventDefault(); + updatePointer(e); + addTouchesToEvent(e); + touchmoveHandler(e); + }); + } +}; + +var BRp$2 = {}; +BRp$2.generatePolygon = function (name, points) { + return this.nodeShapes[name] = { + renderer: this, + name: name, + points: points, + draw: function draw(context, centerX, centerY, width, height) { + this.renderer.nodeShapeImpl('polygon', context, centerX, centerY, width, height, this.points); + }, + intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { + return polygonIntersectLine(x, y, this.points, nodeX, nodeY, width / 2, height / 2, padding); + }, + checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { + return pointInsidePolygon(x, y, this.points, centerX, centerY, width, height, [0, -1], padding); + } + }; +}; +BRp$2.generateEllipse = function () { + return this.nodeShapes['ellipse'] = { + renderer: this, + name: 'ellipse', + draw: function draw(context, centerX, centerY, width, height) { + this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); + }, + intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { + return intersectLineEllipse(x, y, nodeX, nodeY, width / 2 + padding, height / 2 + padding); + }, + checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { + return checkInEllipse(x, y, width, height, centerX, centerY, padding); + } + }; +}; +BRp$2.generateRoundPolygon = function (name, points) { + // Pre-compute control points + // Since these points depend on the radius length (which in turns depend on the width/height of the node) we will only pre-compute + // the unit vectors. + // For simplicity the layout will be: + // [ p0, UnitVectorP0P1, p1, UniVectorP1P2, ..., pn, UnitVectorPnP0 ] + var allPoints = new Array(points.length * 2); + for (var i = 0; i < points.length / 2; i++) { + var sourceIndex = i * 2; + var destIndex = void 0; + if (i < points.length / 2 - 1) { + destIndex = (i + 1) * 2; + } else { + destIndex = 0; + } + allPoints[i * 4] = points[sourceIndex]; + allPoints[i * 4 + 1] = points[sourceIndex + 1]; + var xDest = points[destIndex] - points[sourceIndex]; + var yDest = points[destIndex + 1] - points[sourceIndex + 1]; + var norm = Math.sqrt(xDest * xDest + yDest * yDest); + allPoints[i * 4 + 2] = xDest / norm; + allPoints[i * 4 + 3] = yDest / norm; + } + return this.nodeShapes[name] = { + renderer: this, + name: name, + points: allPoints, + draw: function draw(context, centerX, centerY, width, height) { + this.renderer.nodeShapeImpl('round-polygon', context, centerX, centerY, width, height, this.points); + }, + intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { + return roundPolygonIntersectLine(x, y, this.points, nodeX, nodeY, width, height); + }, + checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { + return pointInsideRoundPolygon(x, y, this.points, centerX, centerY, width, height); + } + }; +}; +BRp$2.generateRoundRectangle = function () { + return this.nodeShapes['round-rectangle'] = this.nodeShapes['roundrectangle'] = { + renderer: this, + name: 'round-rectangle', + points: generateUnitNgonPointsFitToSquare(4, 0), + draw: function draw(context, centerX, centerY, width, height) { + this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); + }, + intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { + return roundRectangleIntersectLine(x, y, nodeX, nodeY, width, height, padding); + }, + checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { + var cornerRadius = getRoundRectangleRadius(width, height); + var diam = cornerRadius * 2; + + // Check hBox + if (pointInsidePolygon(x, y, this.points, centerX, centerY, width, height - diam, [0, -1], padding)) { + return true; + } + + // Check vBox + if (pointInsidePolygon(x, y, this.points, centerX, centerY, width - diam, height, [0, -1], padding)) { + return true; + } + + // Check top left quarter circle + if (checkInEllipse(x, y, diam, diam, centerX - width / 2 + cornerRadius, centerY - height / 2 + cornerRadius, padding)) { + return true; + } + + // Check top right quarter circle + if (checkInEllipse(x, y, diam, diam, centerX + width / 2 - cornerRadius, centerY - height / 2 + cornerRadius, padding)) { + return true; + } + + // Check bottom right quarter circle + if (checkInEllipse(x, y, diam, diam, centerX + width / 2 - cornerRadius, centerY + height / 2 - cornerRadius, padding)) { + return true; + } + + // Check bottom left quarter circle + if (checkInEllipse(x, y, diam, diam, centerX - width / 2 + cornerRadius, centerY + height / 2 - cornerRadius, padding)) { + return true; + } + return false; + } + }; +}; +BRp$2.generateCutRectangle = function () { + return this.nodeShapes['cut-rectangle'] = this.nodeShapes['cutrectangle'] = { + renderer: this, + name: 'cut-rectangle', + cornerLength: getCutRectangleCornerLength(), + points: generateUnitNgonPointsFitToSquare(4, 0), + draw: function draw(context, centerX, centerY, width, height) { + this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); + }, + generateCutTrianglePts: function generateCutTrianglePts(width, height, centerX, centerY) { + var cl = this.cornerLength; + var hh = height / 2; + var hw = width / 2; + var xBegin = centerX - hw; + var xEnd = centerX + hw; + var yBegin = centerY - hh; + var yEnd = centerY + hh; + + // points are in clockwise order, inner (imaginary) triangle pt on [4, 5] + return { + topLeft: [xBegin, yBegin + cl, xBegin + cl, yBegin, xBegin + cl, yBegin + cl], + topRight: [xEnd - cl, yBegin, xEnd, yBegin + cl, xEnd - cl, yBegin + cl], + bottomRight: [xEnd, yEnd - cl, xEnd - cl, yEnd, xEnd - cl, yEnd - cl], + bottomLeft: [xBegin + cl, yEnd, xBegin, yEnd - cl, xBegin + cl, yEnd - cl] + }; + }, + intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { + var cPts = this.generateCutTrianglePts(width + 2 * padding, height + 2 * padding, nodeX, nodeY); + var pts = [].concat.apply([], [cPts.topLeft.splice(0, 4), cPts.topRight.splice(0, 4), cPts.bottomRight.splice(0, 4), cPts.bottomLeft.splice(0, 4)]); + return polygonIntersectLine(x, y, pts, nodeX, nodeY); + }, + checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { + // Check hBox + if (pointInsidePolygon(x, y, this.points, centerX, centerY, width, height - 2 * this.cornerLength, [0, -1], padding)) { + return true; + } + + // Check vBox + if (pointInsidePolygon(x, y, this.points, centerX, centerY, width - 2 * this.cornerLength, height, [0, -1], padding)) { + return true; + } + var cutTrianglePts = this.generateCutTrianglePts(width, height, centerX, centerY); + return pointInsidePolygonPoints(x, y, cutTrianglePts.topLeft) || pointInsidePolygonPoints(x, y, cutTrianglePts.topRight) || pointInsidePolygonPoints(x, y, cutTrianglePts.bottomRight) || pointInsidePolygonPoints(x, y, cutTrianglePts.bottomLeft); + } + }; +}; +BRp$2.generateBarrel = function () { + return this.nodeShapes['barrel'] = { + renderer: this, + name: 'barrel', + points: generateUnitNgonPointsFitToSquare(4, 0), + draw: function draw(context, centerX, centerY, width, height) { + this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); + }, + intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { + // use two fixed t values for the bezier curve approximation + + var t0 = 0.15; + var t1 = 0.5; + var t2 = 0.85; + var bPts = this.generateBarrelBezierPts(width + 2 * padding, height + 2 * padding, nodeX, nodeY); + var approximateBarrelCurvePts = function approximateBarrelCurvePts(pts) { + // approximate curve pts based on the two t values + var m0 = qbezierPtAt({ + x: pts[0], + y: pts[1] + }, { + x: pts[2], + y: pts[3] + }, { + x: pts[4], + y: pts[5] + }, t0); + var m1 = qbezierPtAt({ + x: pts[0], + y: pts[1] + }, { + x: pts[2], + y: pts[3] + }, { + x: pts[4], + y: pts[5] + }, t1); + var m2 = qbezierPtAt({ + x: pts[0], + y: pts[1] + }, { + x: pts[2], + y: pts[3] + }, { + x: pts[4], + y: pts[5] + }, t2); + return [pts[0], pts[1], m0.x, m0.y, m1.x, m1.y, m2.x, m2.y, pts[4], pts[5]]; + }; + var pts = [].concat(approximateBarrelCurvePts(bPts.topLeft), approximateBarrelCurvePts(bPts.topRight), approximateBarrelCurvePts(bPts.bottomRight), approximateBarrelCurvePts(bPts.bottomLeft)); + return polygonIntersectLine(x, y, pts, nodeX, nodeY); + }, + generateBarrelBezierPts: function generateBarrelBezierPts(width, height, centerX, centerY) { + var hh = height / 2; + var hw = width / 2; + var xBegin = centerX - hw; + var xEnd = centerX + hw; + var yBegin = centerY - hh; + var yEnd = centerY + hh; + var curveConstants = getBarrelCurveConstants(width, height); + var hOffset = curveConstants.heightOffset; + var wOffset = curveConstants.widthOffset; + var ctrlPtXOffset = curveConstants.ctrlPtOffsetPct * width; + + // points are in clockwise order, inner (imaginary) control pt on [4, 5] + var pts = { + topLeft: [xBegin, yBegin + hOffset, xBegin + ctrlPtXOffset, yBegin, xBegin + wOffset, yBegin], + topRight: [xEnd - wOffset, yBegin, xEnd - ctrlPtXOffset, yBegin, xEnd, yBegin + hOffset], + bottomRight: [xEnd, yEnd - hOffset, xEnd - ctrlPtXOffset, yEnd, xEnd - wOffset, yEnd], + bottomLeft: [xBegin + wOffset, yEnd, xBegin + ctrlPtXOffset, yEnd, xBegin, yEnd - hOffset] + }; + pts.topLeft.isTop = true; + pts.topRight.isTop = true; + pts.bottomLeft.isBottom = true; + pts.bottomRight.isBottom = true; + return pts; + }, + checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { + var curveConstants = getBarrelCurveConstants(width, height); + var hOffset = curveConstants.heightOffset; + var wOffset = curveConstants.widthOffset; + + // Check hBox + if (pointInsidePolygon(x, y, this.points, centerX, centerY, width, height - 2 * hOffset, [0, -1], padding)) { + return true; + } + + // Check vBox + if (pointInsidePolygon(x, y, this.points, centerX, centerY, width - 2 * wOffset, height, [0, -1], padding)) { + return true; + } + var barrelCurvePts = this.generateBarrelBezierPts(width, height, centerX, centerY); + var getCurveT = function getCurveT(x, y, curvePts) { + var x0 = curvePts[4]; + var x1 = curvePts[2]; + var x2 = curvePts[0]; + var y0 = curvePts[5]; + // var y1 = curvePts[ 3 ]; + var y2 = curvePts[1]; + var xMin = Math.min(x0, x2); + var xMax = Math.max(x0, x2); + var yMin = Math.min(y0, y2); + var yMax = Math.max(y0, y2); + if (xMin <= x && x <= xMax && yMin <= y && y <= yMax) { + var coeff = bezierPtsToQuadCoeff(x0, x1, x2); + var roots = solveQuadratic(coeff[0], coeff[1], coeff[2], x); + var validRoots = roots.filter(function (r) { + return 0 <= r && r <= 1; + }); + if (validRoots.length > 0) { + return validRoots[0]; + } + } + return null; + }; + var curveRegions = Object.keys(barrelCurvePts); + for (var i = 0; i < curveRegions.length; i++) { + var corner = curveRegions[i]; + var cornerPts = barrelCurvePts[corner]; + var t = getCurveT(x, y, cornerPts); + if (t == null) { + continue; + } + var y0 = cornerPts[5]; + var y1 = cornerPts[3]; + var y2 = cornerPts[1]; + var bezY = qbezierAt(y0, y1, y2, t); + if (cornerPts.isTop && bezY <= y) { + return true; + } + if (cornerPts.isBottom && y <= bezY) { + return true; + } + } + return false; + } + }; +}; +BRp$2.generateBottomRoundrectangle = function () { + return this.nodeShapes['bottom-round-rectangle'] = this.nodeShapes['bottomroundrectangle'] = { + renderer: this, + name: 'bottom-round-rectangle', + points: generateUnitNgonPointsFitToSquare(4, 0), + draw: function draw(context, centerX, centerY, width, height) { + this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); + }, + intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { + var topStartX = nodeX - (width / 2 + padding); + var topStartY = nodeY - (height / 2 + padding); + var topEndY = topStartY; + var topEndX = nodeX + (width / 2 + padding); + var topIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, topStartX, topStartY, topEndX, topEndY, false); + if (topIntersections.length > 0) { + return topIntersections; + } + return roundRectangleIntersectLine(x, y, nodeX, nodeY, width, height, padding); + }, + checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { + var cornerRadius = getRoundRectangleRadius(width, height); + var diam = 2 * cornerRadius; + + // Check hBox + if (pointInsidePolygon(x, y, this.points, centerX, centerY, width, height - diam, [0, -1], padding)) { + return true; + } + + // Check vBox + if (pointInsidePolygon(x, y, this.points, centerX, centerY, width - diam, height, [0, -1], padding)) { + return true; + } + + // check non-rounded top side + var outerWidth = width / 2 + 2 * padding; + var outerHeight = height / 2 + 2 * padding; + var points = [centerX - outerWidth, centerY - outerHeight, centerX - outerWidth, centerY, centerX + outerWidth, centerY, centerX + outerWidth, centerY - outerHeight]; + if (pointInsidePolygonPoints(x, y, points)) { + return true; + } + + // Check bottom right quarter circle + if (checkInEllipse(x, y, diam, diam, centerX + width / 2 - cornerRadius, centerY + height / 2 - cornerRadius, padding)) { + return true; + } + + // Check bottom left quarter circle + if (checkInEllipse(x, y, diam, diam, centerX - width / 2 + cornerRadius, centerY + height / 2 - cornerRadius, padding)) { + return true; + } + return false; + } + }; +}; +BRp$2.registerNodeShapes = function () { + var nodeShapes = this.nodeShapes = {}; + var renderer = this; + this.generateEllipse(); + this.generatePolygon('triangle', generateUnitNgonPointsFitToSquare(3, 0)); + this.generateRoundPolygon('round-triangle', generateUnitNgonPointsFitToSquare(3, 0)); + this.generatePolygon('rectangle', generateUnitNgonPointsFitToSquare(4, 0)); + nodeShapes['square'] = nodeShapes['rectangle']; + this.generateRoundRectangle(); + this.generateCutRectangle(); + this.generateBarrel(); + this.generateBottomRoundrectangle(); + { + var diamondPoints = [0, 1, 1, 0, 0, -1, -1, 0]; + this.generatePolygon('diamond', diamondPoints); + this.generateRoundPolygon('round-diamond', diamondPoints); + } + this.generatePolygon('pentagon', generateUnitNgonPointsFitToSquare(5, 0)); + this.generateRoundPolygon('round-pentagon', generateUnitNgonPointsFitToSquare(5, 0)); + this.generatePolygon('hexagon', generateUnitNgonPointsFitToSquare(6, 0)); + this.generateRoundPolygon('round-hexagon', generateUnitNgonPointsFitToSquare(6, 0)); + this.generatePolygon('heptagon', generateUnitNgonPointsFitToSquare(7, 0)); + this.generateRoundPolygon('round-heptagon', generateUnitNgonPointsFitToSquare(7, 0)); + this.generatePolygon('octagon', generateUnitNgonPointsFitToSquare(8, 0)); + this.generateRoundPolygon('round-octagon', generateUnitNgonPointsFitToSquare(8, 0)); + var star5Points = new Array(20); + { + var outerPoints = generateUnitNgonPoints(5, 0); + var innerPoints = generateUnitNgonPoints(5, Math.PI / 5); + + // Outer radius is 1; inner radius of star is smaller + var innerRadius = 0.5 * (3 - Math.sqrt(5)); + innerRadius *= 1.57; + for (var i = 0; i < innerPoints.length / 2; i++) { + innerPoints[i * 2] *= innerRadius; + innerPoints[i * 2 + 1] *= innerRadius; + } + for (var i = 0; i < 20 / 4; i++) { + star5Points[i * 4] = outerPoints[i * 2]; + star5Points[i * 4 + 1] = outerPoints[i * 2 + 1]; + star5Points[i * 4 + 2] = innerPoints[i * 2]; + star5Points[i * 4 + 3] = innerPoints[i * 2 + 1]; + } + } + star5Points = fitPolygonToSquare(star5Points); + this.generatePolygon('star', star5Points); + this.generatePolygon('vee', [-1, -1, 0, -0.333, 1, -1, 0, 1]); + this.generatePolygon('rhomboid', [-1, -1, 0.333, -1, 1, 1, -0.333, 1]); + this.generatePolygon('right-rhomboid', [-0.333, -1, 1, -1, 0.333, 1, -1, 1]); + this.nodeShapes['concavehexagon'] = this.generatePolygon('concave-hexagon', [-1, -0.95, -0.75, 0, -1, 0.95, 1, 0.95, 0.75, 0, 1, -0.95]); + { + var tagPoints = [-1, -1, 0.25, -1, 1, 0, 0.25, 1, -1, 1]; + this.generatePolygon('tag', tagPoints); + this.generateRoundPolygon('round-tag', tagPoints); + } + nodeShapes.makePolygon = function (points) { + // use caching on user-specified polygons so they are as fast as native shapes + + var key = points.join('$'); + var name = 'polygon-' + key; + var shape; + if (shape = this[name]) { + // got cached shape + return shape; + } + + // create and cache new shape + return renderer.generatePolygon(name, points); + }; +}; + +var BRp$1 = {}; +BRp$1.timeToRender = function () { + return this.redrawTotalTime / this.redrawCount; +}; +BRp$1.redraw = function (options) { + options = options || staticEmptyObject(); + var r = this; + if (r.averageRedrawTime === undefined) { + r.averageRedrawTime = 0; + } + if (r.lastRedrawTime === undefined) { + r.lastRedrawTime = 0; + } + if (r.lastDrawTime === undefined) { + r.lastDrawTime = 0; + } + r.requestedFrame = true; + r.renderOptions = options; +}; +BRp$1.beforeRender = function (fn, priority) { + // the renderer can't add tick callbacks when destroyed + if (this.destroyed) { + return; + } + if (priority == null) { + error('Priority is not optional for beforeRender'); + } + var cbs = this.beforeRenderCallbacks; + cbs.push({ + fn: fn, + priority: priority + }); + + // higher priority callbacks executed first + cbs.sort(function (a, b) { + return b.priority - a.priority; + }); +}; +var beforeRenderCallbacks = function beforeRenderCallbacks(r, willDraw, startTime) { + var cbs = r.beforeRenderCallbacks; + for (var i = 0; i < cbs.length; i++) { + cbs[i].fn(willDraw, startTime); + } +}; +BRp$1.startRenderLoop = function () { + var r = this; + var cy = r.cy; + if (r.renderLoopStarted) { + return; + } else { + r.renderLoopStarted = true; + } + var renderFn = function renderFn(requestTime) { + if (r.destroyed) { + return; + } + if (cy.batching()) ; else if (r.requestedFrame && !r.skipFrame) { + beforeRenderCallbacks(r, true, requestTime); + var startTime = performanceNow(); + r.render(r.renderOptions); + var endTime = r.lastDrawTime = performanceNow(); + if (r.averageRedrawTime === undefined) { + r.averageRedrawTime = endTime - startTime; + } + if (r.redrawCount === undefined) { + r.redrawCount = 0; + } + r.redrawCount++; + if (r.redrawTotalTime === undefined) { + r.redrawTotalTime = 0; + } + var duration = endTime - startTime; + r.redrawTotalTime += duration; + r.lastRedrawTime = duration; + + // use a weighted average with a bias from the previous average so we don't spike so easily + r.averageRedrawTime = r.averageRedrawTime / 2 + duration / 2; + r.requestedFrame = false; + } else { + beforeRenderCallbacks(r, false, requestTime); + } + r.skipFrame = false; + requestAnimationFrame(renderFn); + }; + requestAnimationFrame(renderFn); +}; + +var BaseRenderer = function BaseRenderer(options) { + this.init(options); +}; +var BR = BaseRenderer; +var BRp = BR.prototype; +BRp.clientFunctions = ['redrawHint', 'render', 'renderTo', 'matchCanvasSize', 'nodeShapeImpl', 'arrowShapeImpl']; +BRp.init = function (options) { + var r = this; + r.options = options; + r.cy = options.cy; + var ctr = r.container = options.cy.container(); + var containerWindow = r.cy.window(); + + // prepend a stylesheet in the head such that + if (containerWindow) { + var document = containerWindow.document; + var head = document.head; + var stylesheetId = '__________cytoscape_stylesheet'; + var className = '__________cytoscape_container'; + var stylesheetAlreadyExists = document.getElementById(stylesheetId) != null; + if (ctr.className.indexOf(className) < 0) { + ctr.className = (ctr.className || '') + ' ' + className; + } + if (!stylesheetAlreadyExists) { + var stylesheet = document.createElement('style'); + stylesheet.id = stylesheetId; + stylesheet.textContent = '.' + className + ' { position: relative; }'; + head.insertBefore(stylesheet, head.children[0]); // first so lowest priority + } + + var computedStyle = containerWindow.getComputedStyle(ctr); + var position = computedStyle.getPropertyValue('position'); + if (position === 'static') { + warn('A Cytoscape container has style position:static and so can not use UI extensions properly'); + } + } + r.selection = [undefined, undefined, undefined, undefined, 0]; // Coordinates for selection box, plus enabled flag + + r.bezierProjPcts = [0.05, 0.225, 0.4, 0.5, 0.6, 0.775, 0.95]; + + //--Pointer-related data + r.hoverData = { + down: null, + last: null, + downTime: null, + triggerMode: null, + dragging: false, + initialPan: [null, null], + capture: false + }; + r.dragData = { + possibleDragElements: [] + }; + r.touchData = { + start: null, + capture: false, + // These 3 fields related to tap, taphold events + startPosition: [null, null, null, null, null, null], + singleTouchStartTime: null, + singleTouchMoved: true, + now: [null, null, null, null, null, null], + earlier: [null, null, null, null, null, null] + }; + r.redraws = 0; + r.showFps = options.showFps; + r.debug = options.debug; + r.hideEdgesOnViewport = options.hideEdgesOnViewport; + r.textureOnViewport = options.textureOnViewport; + r.wheelSensitivity = options.wheelSensitivity; + r.motionBlurEnabled = options.motionBlur; // on by default + r.forcedPixelRatio = number$1(options.pixelRatio) ? options.pixelRatio : null; + r.motionBlur = options.motionBlur; // for initial kick off + r.motionBlurOpacity = options.motionBlurOpacity; + r.motionBlurTransparency = 1 - r.motionBlurOpacity; + r.motionBlurPxRatio = 1; + r.mbPxRBlurry = 1; //0.8; + r.minMbLowQualFrames = 4; + r.fullQualityMb = false; + r.clearedForMotionBlur = []; + r.desktopTapThreshold = options.desktopTapThreshold; + r.desktopTapThreshold2 = options.desktopTapThreshold * options.desktopTapThreshold; + r.touchTapThreshold = options.touchTapThreshold; + r.touchTapThreshold2 = options.touchTapThreshold * options.touchTapThreshold; + r.tapholdDuration = 500; + r.bindings = []; + r.beforeRenderCallbacks = []; + r.beforeRenderPriorities = { + // higher priority execs before lower one + animations: 400, + eleCalcs: 300, + eleTxrDeq: 200, + lyrTxrDeq: 150, + lyrTxrSkip: 100 + }; + r.registerNodeShapes(); + r.registerArrowShapes(); + r.registerCalculationListeners(); +}; +BRp.notify = function (eventName, eles) { + var r = this; + var cy = r.cy; + + // the renderer can't be notified after it's destroyed + if (this.destroyed) { + return; + } + if (eventName === 'init') { + r.load(); + return; + } + if (eventName === 'destroy') { + r.destroy(); + return; + } + if (eventName === 'add' || eventName === 'remove' || eventName === 'move' && cy.hasCompoundNodes() || eventName === 'load' || eventName === 'zorder' || eventName === 'mount') { + r.invalidateCachedZSortedEles(); + } + if (eventName === 'viewport') { + r.redrawHint('select', true); + } + if (eventName === 'load' || eventName === 'resize' || eventName === 'mount') { + r.invalidateContainerClientCoordsCache(); + r.matchCanvasSize(r.container); + } + r.redrawHint('eles', true); + r.redrawHint('drag', true); + this.startRenderLoop(); + this.redraw(); +}; +BRp.destroy = function () { + var r = this; + r.destroyed = true; + r.cy.stopAnimationLoop(); + for (var i = 0; i < r.bindings.length; i++) { + var binding = r.bindings[i]; + var b = binding; + var tgt = b.target; + (tgt.off || tgt.removeEventListener).apply(tgt, b.args); + } + r.bindings = []; + r.beforeRenderCallbacks = []; + r.onUpdateEleCalcsFns = []; + if (r.removeObserver) { + r.removeObserver.disconnect(); + } + if (r.styleObserver) { + r.styleObserver.disconnect(); + } + if (r.resizeObserver) { + r.resizeObserver.disconnect(); + } + if (r.labelCalcDiv) { + try { + document.body.removeChild(r.labelCalcDiv); // eslint-disable-line no-undef + } catch (e) { + // ie10 issue #1014 + } + } +}; +BRp.isHeadless = function () { + return false; +}; +[BRp$f, BRp$5, BRp$4, BRp$3, BRp$2, BRp$1].forEach(function (props) { + extend(BRp, props); +}); + +var fullFpsTime = 1000 / 60; // assume 60 frames per second + +var defs = { + setupDequeueing: function setupDequeueing(opts) { + return function setupDequeueingImpl() { + var self = this; + var r = this.renderer; + if (self.dequeueingSetup) { + return; + } else { + self.dequeueingSetup = true; + } + var queueRedraw = debounce__default["default"](function () { + r.redrawHint('eles', true); + r.redrawHint('drag', true); + r.redraw(); + }, opts.deqRedrawThreshold); + var dequeue = function dequeue(willDraw, frameStartTime) { + var startTime = performanceNow(); + var avgRenderTime = r.averageRedrawTime; + var renderTime = r.lastRedrawTime; + var deqd = []; + var extent = r.cy.extent(); + var pixelRatio = r.getPixelRatio(); + + // if we aren't in a tick that causes a draw, then the rendered style + // queue won't automatically be flushed before dequeueing starts + if (!willDraw) { + r.flushRenderedStyleQueue(); + } + while (true) { + // eslint-disable-line no-constant-condition + var now = performanceNow(); + var duration = now - startTime; + var frameDuration = now - frameStartTime; + if (renderTime < fullFpsTime) { + // if we're rendering faster than the ideal fps, then do dequeueing + // during all of the remaining frame time + + var timeAvailable = fullFpsTime - (willDraw ? avgRenderTime : 0); + if (frameDuration >= opts.deqFastCost * timeAvailable) { + break; + } + } else { + if (willDraw) { + if (duration >= opts.deqCost * renderTime || duration >= opts.deqAvgCost * avgRenderTime) { + break; + } + } else if (frameDuration >= opts.deqNoDrawCost * fullFpsTime) { + break; + } + } + var thisDeqd = opts.deq(self, pixelRatio, extent); + if (thisDeqd.length > 0) { + for (var i = 0; i < thisDeqd.length; i++) { + deqd.push(thisDeqd[i]); + } + } else { + break; + } + } + + // callbacks on dequeue + if (deqd.length > 0) { + opts.onDeqd(self, deqd); + if (!willDraw && opts.shouldRedraw(self, deqd, pixelRatio, extent)) { + queueRedraw(); + } + } + }; + var priority = opts.priority || noop$1; + r.beforeRender(dequeue, priority(self)); + }; + } +}; + +// Allows lookups for (ele, lvl) => cache. +// Uses keys so elements may share the same cache. +var ElementTextureCacheLookup = /*#__PURE__*/function () { + function ElementTextureCacheLookup(getKey) { + var doesEleInvalidateKey = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : falsify; + _classCallCheck(this, ElementTextureCacheLookup); + this.idsByKey = new Map$1(); + this.keyForId = new Map$1(); + this.cachesByLvl = new Map$1(); + this.lvls = []; + this.getKey = getKey; + this.doesEleInvalidateKey = doesEleInvalidateKey; + } + _createClass(ElementTextureCacheLookup, [{ + key: "getIdsFor", + value: function getIdsFor(key) { + if (key == null) { + error("Can not get id list for null key"); + } + var idsByKey = this.idsByKey; + var ids = this.idsByKey.get(key); + if (!ids) { + ids = new Set$1(); + idsByKey.set(key, ids); + } + return ids; + } + }, { + key: "addIdForKey", + value: function addIdForKey(key, id) { + if (key != null) { + this.getIdsFor(key).add(id); + } + } + }, { + key: "deleteIdForKey", + value: function deleteIdForKey(key, id) { + if (key != null) { + this.getIdsFor(key)["delete"](id); + } + } + }, { + key: "getNumberOfIdsForKey", + value: function getNumberOfIdsForKey(key) { + if (key == null) { + return 0; + } else { + return this.getIdsFor(key).size; + } + } + }, { + key: "updateKeyMappingFor", + value: function updateKeyMappingFor(ele) { + var id = ele.id(); + var prevKey = this.keyForId.get(id); + var currKey = this.getKey(ele); + this.deleteIdForKey(prevKey, id); + this.addIdForKey(currKey, id); + this.keyForId.set(id, currKey); + } + }, { + key: "deleteKeyMappingFor", + value: function deleteKeyMappingFor(ele) { + var id = ele.id(); + var prevKey = this.keyForId.get(id); + this.deleteIdForKey(prevKey, id); + this.keyForId["delete"](id); + } + }, { + key: "keyHasChangedFor", + value: function keyHasChangedFor(ele) { + var id = ele.id(); + var prevKey = this.keyForId.get(id); + var newKey = this.getKey(ele); + return prevKey !== newKey; + } + }, { + key: "isInvalid", + value: function isInvalid(ele) { + return this.keyHasChangedFor(ele) || this.doesEleInvalidateKey(ele); + } + }, { + key: "getCachesAt", + value: function getCachesAt(lvl) { + var cachesByLvl = this.cachesByLvl, + lvls = this.lvls; + var caches = cachesByLvl.get(lvl); + if (!caches) { + caches = new Map$1(); + cachesByLvl.set(lvl, caches); + lvls.push(lvl); + } + return caches; + } + }, { + key: "getCache", + value: function getCache(key, lvl) { + return this.getCachesAt(lvl).get(key); + } + }, { + key: "get", + value: function get(ele, lvl) { + var key = this.getKey(ele); + var cache = this.getCache(key, lvl); + + // getting for an element may need to add to the id list b/c eles can share keys + if (cache != null) { + this.updateKeyMappingFor(ele); + } + return cache; + } + }, { + key: "getForCachedKey", + value: function getForCachedKey(ele, lvl) { + var key = this.keyForId.get(ele.id()); // n.b. use cached key, not newly computed key + var cache = this.getCache(key, lvl); + return cache; + } + }, { + key: "hasCache", + value: function hasCache(key, lvl) { + return this.getCachesAt(lvl).has(key); + } + }, { + key: "has", + value: function has(ele, lvl) { + var key = this.getKey(ele); + return this.hasCache(key, lvl); + } + }, { + key: "setCache", + value: function setCache(key, lvl, cache) { + cache.key = key; + this.getCachesAt(lvl).set(key, cache); + } + }, { + key: "set", + value: function set(ele, lvl, cache) { + var key = this.getKey(ele); + this.setCache(key, lvl, cache); + this.updateKeyMappingFor(ele); + } + }, { + key: "deleteCache", + value: function deleteCache(key, lvl) { + this.getCachesAt(lvl)["delete"](key); + } + }, { + key: "delete", + value: function _delete(ele, lvl) { + var key = this.getKey(ele); + this.deleteCache(key, lvl); + } + }, { + key: "invalidateKey", + value: function invalidateKey(key) { + var _this = this; + this.lvls.forEach(function (lvl) { + return _this.deleteCache(key, lvl); + }); + } + + // returns true if no other eles reference the invalidated cache (n.b. other eles may need the cache with the same key) + }, { + key: "invalidate", + value: function invalidate(ele) { + var id = ele.id(); + var key = this.keyForId.get(id); // n.b. use stored key rather than current (potential key) + + this.deleteKeyMappingFor(ele); + var entireKeyInvalidated = this.doesEleInvalidateKey(ele); + if (entireKeyInvalidated) { + // clear mapping for current key + this.invalidateKey(key); + } + return entireKeyInvalidated || this.getNumberOfIdsForKey(key) === 0; + } + }]); + return ElementTextureCacheLookup; +}(); + +var minTxrH = 25; // the size of the texture cache for small height eles (special case) +var txrStepH = 50; // the min size of the regular cache, and the size it increases with each step up +var minLvl$1 = -4; // when scaling smaller than that we don't need to re-render +var maxLvl$1 = 3; // when larger than this scale just render directly (caching is not helpful) +var maxZoom$1 = 7.99; // beyond this zoom level, layered textures are not used +var eleTxrSpacing = 8; // spacing between elements on textures to avoid blitting overlaps +var defTxrWidth = 1024; // default/minimum texture width +var maxTxrW = 1024; // the maximum width of a texture +var maxTxrH = 1024; // the maximum height of a texture +var minUtility = 0.2; // if usage of texture is less than this, it is retired +var maxFullness = 0.8; // fullness of texture after which queue removal is checked +var maxFullnessChecks = 10; // dequeued after this many checks +var deqCost$1 = 0.15; // % of add'l rendering cost allowed for dequeuing ele caches each frame +var deqAvgCost$1 = 0.1; // % of add'l rendering cost compared to average overall redraw time +var deqNoDrawCost$1 = 0.9; // % of avg frame time that can be used for dequeueing when not drawing +var deqFastCost$1 = 0.9; // % of frame time to be used when >60fps +var deqRedrawThreshold$1 = 100; // time to batch redraws together from dequeueing to allow more dequeueing calcs to happen in the meanwhile +var maxDeqSize$1 = 1; // number of eles to dequeue and render at higher texture in each batch + +var getTxrReasons = { + dequeue: 'dequeue', + downscale: 'downscale', + highQuality: 'highQuality' +}; +var initDefaults = defaults$g({ + getKey: null, + doesEleInvalidateKey: falsify, + drawElement: null, + getBoundingBox: null, + getRotationPoint: null, + getRotationOffset: null, + isVisible: trueify, + allowEdgeTxrCaching: true, + allowParentTxrCaching: true +}); +var ElementTextureCache = function ElementTextureCache(renderer, initOptions) { + var self = this; + self.renderer = renderer; + self.onDequeues = []; + var opts = initDefaults(initOptions); + extend(self, opts); + self.lookup = new ElementTextureCacheLookup(opts.getKey, opts.doesEleInvalidateKey); + self.setupDequeueing(); +}; +var ETCp = ElementTextureCache.prototype; +ETCp.reasons = getTxrReasons; + +// the list of textures in which new subtextures for elements can be placed +ETCp.getTextureQueue = function (txrH) { + var self = this; + self.eleImgCaches = self.eleImgCaches || {}; + return self.eleImgCaches[txrH] = self.eleImgCaches[txrH] || []; +}; + +// the list of usused textures which can be recycled (in use in texture queue) +ETCp.getRetiredTextureQueue = function (txrH) { + var self = this; + var rtxtrQs = self.eleImgCaches.retired = self.eleImgCaches.retired || {}; + var rtxtrQ = rtxtrQs[txrH] = rtxtrQs[txrH] || []; + return rtxtrQ; +}; + +// queue of element draw requests at different scale levels +ETCp.getElementQueue = function () { + var self = this; + var q = self.eleCacheQueue = self.eleCacheQueue || new Heap__default["default"](function (a, b) { + return b.reqs - a.reqs; + }); + return q; +}; + +// queue of element draw requests at different scale levels (element id lookup) +ETCp.getElementKeyToQueue = function () { + var self = this; + var k2q = self.eleKeyToCacheQueue = self.eleKeyToCacheQueue || {}; + return k2q; +}; +ETCp.getElement = function (ele, bb, pxRatio, lvl, reason) { + var self = this; + var r = this.renderer; + var zoom = r.cy.zoom(); + var lookup = this.lookup; + if (!bb || bb.w === 0 || bb.h === 0 || isNaN(bb.w) || isNaN(bb.h) || !ele.visible() || ele.removed()) { + return null; + } + if (!self.allowEdgeTxrCaching && ele.isEdge() || !self.allowParentTxrCaching && ele.isParent()) { + return null; + } + if (lvl == null) { + lvl = Math.ceil(log2(zoom * pxRatio)); + } + if (lvl < minLvl$1) { + lvl = minLvl$1; + } else if (zoom >= maxZoom$1 || lvl > maxLvl$1) { + return null; + } + var scale = Math.pow(2, lvl); + var eleScaledH = bb.h * scale; + var eleScaledW = bb.w * scale; + var scaledLabelShown = r.eleTextBiggerThanMin(ele, scale); + if (!this.isVisible(ele, scaledLabelShown)) { + return null; + } + var eleCache = lookup.get(ele, lvl); + + // if this get was on an unused/invalidated cache, then restore the texture usage metric + if (eleCache && eleCache.invalidated) { + eleCache.invalidated = false; + eleCache.texture.invalidatedWidth -= eleCache.width; + } + if (eleCache) { + return eleCache; + } + var txrH; // which texture height this ele belongs to + + if (eleScaledH <= minTxrH) { + txrH = minTxrH; + } else if (eleScaledH <= txrStepH) { + txrH = txrStepH; + } else { + txrH = Math.ceil(eleScaledH / txrStepH) * txrStepH; + } + if (eleScaledH > maxTxrH || eleScaledW > maxTxrW) { + return null; // caching large elements is not efficient + } + + var txrQ = self.getTextureQueue(txrH); + + // first try the second last one in case it has space at the end + var txr = txrQ[txrQ.length - 2]; + var addNewTxr = function addNewTxr() { + return self.recycleTexture(txrH, eleScaledW) || self.addTexture(txrH, eleScaledW); + }; + + // try the last one if there is no second last one + if (!txr) { + txr = txrQ[txrQ.length - 1]; + } + + // if the last one doesn't exist, we need a first one + if (!txr) { + txr = addNewTxr(); + } + + // if there's no room in the current texture, we need a new one + if (txr.width - txr.usedWidth < eleScaledW) { + txr = addNewTxr(); + } + var scalableFrom = function scalableFrom(otherCache) { + return otherCache && otherCache.scaledLabelShown === scaledLabelShown; + }; + var deqing = reason && reason === getTxrReasons.dequeue; + var highQualityReq = reason && reason === getTxrReasons.highQuality; + var downscaleReq = reason && reason === getTxrReasons.downscale; + var higherCache; // the nearest cache with a higher level + for (var l = lvl + 1; l <= maxLvl$1; l++) { + var c = lookup.get(ele, l); + if (c) { + higherCache = c; + break; + } + } + var oneUpCache = higherCache && higherCache.level === lvl + 1 ? higherCache : null; + var downscale = function downscale() { + txr.context.drawImage(oneUpCache.texture.canvas, oneUpCache.x, 0, oneUpCache.width, oneUpCache.height, txr.usedWidth, 0, eleScaledW, eleScaledH); + }; + + // reset ele area in texture + txr.context.setTransform(1, 0, 0, 1, 0, 0); + txr.context.clearRect(txr.usedWidth, 0, eleScaledW, txrH); + if (scalableFrom(oneUpCache)) { + // then we can relatively cheaply rescale the existing image w/o rerendering + downscale(); + } else if (scalableFrom(higherCache)) { + // then use the higher cache for now and queue the next level down + // to cheaply scale towards the smaller level + + if (highQualityReq) { + for (var _l = higherCache.level; _l > lvl; _l--) { + oneUpCache = self.getElement(ele, bb, pxRatio, _l, getTxrReasons.downscale); + } + downscale(); + } else { + self.queueElement(ele, higherCache.level - 1); + return higherCache; + } + } else { + var lowerCache; // the nearest cache with a lower level + if (!deqing && !highQualityReq && !downscaleReq) { + for (var _l2 = lvl - 1; _l2 >= minLvl$1; _l2--) { + var _c = lookup.get(ele, _l2); + if (_c) { + lowerCache = _c; + break; + } + } + } + if (scalableFrom(lowerCache)) { + // then use the lower quality cache for now and queue the better one for later + + self.queueElement(ele, lvl); + return lowerCache; + } + txr.context.translate(txr.usedWidth, 0); + txr.context.scale(scale, scale); + this.drawElement(txr.context, ele, bb, scaledLabelShown, false); + txr.context.scale(1 / scale, 1 / scale); + txr.context.translate(-txr.usedWidth, 0); + } + eleCache = { + x: txr.usedWidth, + texture: txr, + level: lvl, + scale: scale, + width: eleScaledW, + height: eleScaledH, + scaledLabelShown: scaledLabelShown + }; + txr.usedWidth += Math.ceil(eleScaledW + eleTxrSpacing); + txr.eleCaches.push(eleCache); + lookup.set(ele, lvl, eleCache); + self.checkTextureFullness(txr); + return eleCache; +}; +ETCp.invalidateElements = function (eles) { + for (var i = 0; i < eles.length; i++) { + this.invalidateElement(eles[i]); + } +}; +ETCp.invalidateElement = function (ele) { + var self = this; + var lookup = self.lookup; + var caches = []; + var invalid = lookup.isInvalid(ele); + if (!invalid) { + return; // override the invalidation request if the element key has not changed + } + + for (var lvl = minLvl$1; lvl <= maxLvl$1; lvl++) { + var cache = lookup.getForCachedKey(ele, lvl); + if (cache) { + caches.push(cache); + } + } + var noOtherElesUseCache = lookup.invalidate(ele); + if (noOtherElesUseCache) { + for (var i = 0; i < caches.length; i++) { + var _cache = caches[i]; + var txr = _cache.texture; + + // remove space from the texture it belongs to + txr.invalidatedWidth += _cache.width; + + // mark the cache as invalidated + _cache.invalidated = true; + + // retire the texture if its utility is low + self.checkTextureUtility(txr); + } + } + + // remove from queue since the old req was for the old state + self.removeFromQueue(ele); +}; +ETCp.checkTextureUtility = function (txr) { + // invalidate all entries in the cache if the cache size is small + if (txr.invalidatedWidth >= minUtility * txr.width) { + this.retireTexture(txr); + } +}; +ETCp.checkTextureFullness = function (txr) { + // if texture has been mostly filled and passed over several times, remove + // it from the queue so we don't need to waste time looking at it to put new things + + var self = this; + var txrQ = self.getTextureQueue(txr.height); + if (txr.usedWidth / txr.width > maxFullness && txr.fullnessChecks >= maxFullnessChecks) { + removeFromArray(txrQ, txr); + } else { + txr.fullnessChecks++; + } +}; +ETCp.retireTexture = function (txr) { + var self = this; + var txrH = txr.height; + var txrQ = self.getTextureQueue(txrH); + var lookup = this.lookup; + + // retire the texture from the active / searchable queue: + + removeFromArray(txrQ, txr); + txr.retired = true; + + // remove the refs from the eles to the caches: + + var eleCaches = txr.eleCaches; + for (var i = 0; i < eleCaches.length; i++) { + var eleCache = eleCaches[i]; + lookup.deleteCache(eleCache.key, eleCache.level); + } + clearArray(eleCaches); + + // add the texture to a retired queue so it can be recycled in future: + + var rtxtrQ = self.getRetiredTextureQueue(txrH); + rtxtrQ.push(txr); +}; +ETCp.addTexture = function (txrH, minW) { + var self = this; + var txrQ = self.getTextureQueue(txrH); + var txr = {}; + txrQ.push(txr); + txr.eleCaches = []; + txr.height = txrH; + txr.width = Math.max(defTxrWidth, minW); + txr.usedWidth = 0; + txr.invalidatedWidth = 0; + txr.fullnessChecks = 0; + txr.canvas = self.renderer.makeOffscreenCanvas(txr.width, txr.height); + txr.context = txr.canvas.getContext('2d'); + return txr; +}; +ETCp.recycleTexture = function (txrH, minW) { + var self = this; + var txrQ = self.getTextureQueue(txrH); + var rtxtrQ = self.getRetiredTextureQueue(txrH); + for (var i = 0; i < rtxtrQ.length; i++) { + var txr = rtxtrQ[i]; + if (txr.width >= minW) { + txr.retired = false; + txr.usedWidth = 0; + txr.invalidatedWidth = 0; + txr.fullnessChecks = 0; + clearArray(txr.eleCaches); + txr.context.setTransform(1, 0, 0, 1, 0, 0); + txr.context.clearRect(0, 0, txr.width, txr.height); + removeFromArray(rtxtrQ, txr); + txrQ.push(txr); + return txr; + } + } +}; +ETCp.queueElement = function (ele, lvl) { + var self = this; + var q = self.getElementQueue(); + var k2q = self.getElementKeyToQueue(); + var key = this.getKey(ele); + var existingReq = k2q[key]; + if (existingReq) { + // use the max lvl b/c in between lvls are cheap to make + existingReq.level = Math.max(existingReq.level, lvl); + existingReq.eles.merge(ele); + existingReq.reqs++; + q.updateItem(existingReq); + } else { + var req = { + eles: ele.spawn().merge(ele), + level: lvl, + reqs: 1, + key: key + }; + q.push(req); + k2q[key] = req; + } +}; +ETCp.dequeue = function (pxRatio /*, extent*/) { + var self = this; + var q = self.getElementQueue(); + var k2q = self.getElementKeyToQueue(); + var dequeued = []; + var lookup = self.lookup; + for (var i = 0; i < maxDeqSize$1; i++) { + if (q.size() > 0) { + var req = q.pop(); + var key = req.key; + var ele = req.eles[0]; // all eles have the same key + var cacheExists = lookup.hasCache(ele, req.level); + + // clear out the key to req lookup + k2q[key] = null; + + // dequeueing isn't necessary with an existing cache + if (cacheExists) { + continue; + } + dequeued.push(req); + var bb = self.getBoundingBox(ele); + self.getElement(ele, bb, pxRatio, req.level, getTxrReasons.dequeue); + } else { + break; + } + } + return dequeued; +}; +ETCp.removeFromQueue = function (ele) { + var self = this; + var q = self.getElementQueue(); + var k2q = self.getElementKeyToQueue(); + var key = this.getKey(ele); + var req = k2q[key]; + if (req != null) { + if (req.eles.length === 1) { + // remove if last ele in the req + // bring to front of queue + req.reqs = MAX_INT$1; + q.updateItem(req); + q.pop(); // remove from queue + + k2q[key] = null; // remove from lookup map + } else { + // otherwise just remove ele from req + req.eles.unmerge(ele); + } + } +}; +ETCp.onDequeue = function (fn) { + this.onDequeues.push(fn); +}; +ETCp.offDequeue = function (fn) { + removeFromArray(this.onDequeues, fn); +}; +ETCp.setupDequeueing = defs.setupDequeueing({ + deqRedrawThreshold: deqRedrawThreshold$1, + deqCost: deqCost$1, + deqAvgCost: deqAvgCost$1, + deqNoDrawCost: deqNoDrawCost$1, + deqFastCost: deqFastCost$1, + deq: function deq(self, pxRatio, extent) { + return self.dequeue(pxRatio, extent); + }, + onDeqd: function onDeqd(self, deqd) { + for (var i = 0; i < self.onDequeues.length; i++) { + var fn = self.onDequeues[i]; + fn(deqd); + } + }, + shouldRedraw: function shouldRedraw(self, deqd, pxRatio, extent) { + for (var i = 0; i < deqd.length; i++) { + var eles = deqd[i].eles; + for (var j = 0; j < eles.length; j++) { + var bb = eles[j].boundingBox(); + if (boundingBoxesIntersect(bb, extent)) { + return true; + } + } + } + return false; + }, + priority: function priority(self) { + return self.renderer.beforeRenderPriorities.eleTxrDeq; + } +}); + +var defNumLayers = 1; // default number of layers to use +var minLvl = -4; // when scaling smaller than that we don't need to re-render +var maxLvl = 2; // when larger than this scale just render directly (caching is not helpful) +var maxZoom = 3.99; // beyond this zoom level, layered textures are not used +var deqRedrawThreshold = 50; // time to batch redraws together from dequeueing to allow more dequeueing calcs to happen in the meanwhile +var refineEleDebounceTime = 50; // time to debounce sharper ele texture updates +var deqCost = 0.15; // % of add'l rendering cost allowed for dequeuing ele caches each frame +var deqAvgCost = 0.1; // % of add'l rendering cost compared to average overall redraw time +var deqNoDrawCost = 0.9; // % of avg frame time that can be used for dequeueing when not drawing +var deqFastCost = 0.9; // % of frame time to be used when >60fps +var maxDeqSize = 1; // number of eles to dequeue and render at higher texture in each batch +var invalidThreshold = 250; // time threshold for disabling b/c of invalidations +var maxLayerArea = 4000 * 4000; // layers can't be bigger than this +var useHighQualityEleTxrReqs = true; // whether to use high quality ele txr requests (generally faster and cheaper in the longterm) + +// var log = function(){ console.log.apply( console, arguments ); }; + +var LayeredTextureCache = function LayeredTextureCache(renderer) { + var self = this; + var r = self.renderer = renderer; + var cy = r.cy; + self.layersByLevel = {}; // e.g. 2 => [ layer1, layer2, ..., layerN ] + + self.firstGet = true; + self.lastInvalidationTime = performanceNow() - 2 * invalidThreshold; + self.skipping = false; + self.eleTxrDeqs = cy.collection(); + self.scheduleElementRefinement = debounce__default["default"](function () { + self.refineElementTextures(self.eleTxrDeqs); + self.eleTxrDeqs.unmerge(self.eleTxrDeqs); + }, refineEleDebounceTime); + r.beforeRender(function (willDraw, now) { + if (now - self.lastInvalidationTime <= invalidThreshold) { + self.skipping = true; + } else { + self.skipping = false; + } + }, r.beforeRenderPriorities.lyrTxrSkip); + var qSort = function qSort(a, b) { + return b.reqs - a.reqs; + }; + self.layersQueue = new Heap__default["default"](qSort); + self.setupDequeueing(); +}; +var LTCp = LayeredTextureCache.prototype; +var layerIdPool = 0; +var MAX_INT = Math.pow(2, 53) - 1; +LTCp.makeLayer = function (bb, lvl) { + var scale = Math.pow(2, lvl); + var w = Math.ceil(bb.w * scale); + var h = Math.ceil(bb.h * scale); + var canvas = this.renderer.makeOffscreenCanvas(w, h); + var layer = { + id: layerIdPool = ++layerIdPool % MAX_INT, + bb: bb, + level: lvl, + width: w, + height: h, + canvas: canvas, + context: canvas.getContext('2d'), + eles: [], + elesQueue: [], + reqs: 0 + }; + + // log('make layer %s with w %s and h %s and lvl %s', layer.id, layer.width, layer.height, layer.level); + + var cxt = layer.context; + var dx = -layer.bb.x1; + var dy = -layer.bb.y1; + + // do the transform on creation to save cycles (it's the same for all eles) + cxt.scale(scale, scale); + cxt.translate(dx, dy); + return layer; +}; +LTCp.getLayers = function (eles, pxRatio, lvl) { + var self = this; + var r = self.renderer; + var cy = r.cy; + var zoom = cy.zoom(); + var firstGet = self.firstGet; + self.firstGet = false; + + // log('--\nget layers with %s eles', eles.length); + //log eles.map(function(ele){ return ele.id() }) ); + + if (lvl == null) { + lvl = Math.ceil(log2(zoom * pxRatio)); + if (lvl < minLvl) { + lvl = minLvl; + } else if (zoom >= maxZoom || lvl > maxLvl) { + return null; + } + } + self.validateLayersElesOrdering(lvl, eles); + var layersByLvl = self.layersByLevel; + var scale = Math.pow(2, lvl); + var layers = layersByLvl[lvl] = layersByLvl[lvl] || []; + var bb; + var lvlComplete = self.levelIsComplete(lvl, eles); + var tmpLayers; + var checkTempLevels = function checkTempLevels() { + var canUseAsTmpLvl = function canUseAsTmpLvl(l) { + self.validateLayersElesOrdering(l, eles); + if (self.levelIsComplete(l, eles)) { + tmpLayers = layersByLvl[l]; + return true; + } + }; + var checkLvls = function checkLvls(dir) { + if (tmpLayers) { + return; + } + for (var l = lvl + dir; minLvl <= l && l <= maxLvl; l += dir) { + if (canUseAsTmpLvl(l)) { + break; + } + } + }; + checkLvls(+1); + checkLvls(-1); + + // remove the invalid layers; they will be replaced as needed later in this function + for (var i = layers.length - 1; i >= 0; i--) { + var layer = layers[i]; + if (layer.invalid) { + removeFromArray(layers, layer); + } + } + }; + if (!lvlComplete) { + // if the current level is incomplete, then use the closest, best quality layerset temporarily + // and later queue the current layerset so we can get the proper quality level soon + + checkTempLevels(); + } else { + // log('level complete, using existing layers\n--'); + return layers; + } + var getBb = function getBb() { + if (!bb) { + bb = makeBoundingBox(); + for (var i = 0; i < eles.length; i++) { + updateBoundingBox(bb, eles[i].boundingBox()); + } + } + return bb; + }; + var makeLayer = function makeLayer(opts) { + opts = opts || {}; + var after = opts.after; + getBb(); + var area = bb.w * scale * (bb.h * scale); + if (area > maxLayerArea) { + return null; + } + var layer = self.makeLayer(bb, lvl); + if (after != null) { + var index = layers.indexOf(after) + 1; + layers.splice(index, 0, layer); + } else if (opts.insert === undefined || opts.insert) { + // no after specified => first layer made so put at start + layers.unshift(layer); + } + + // if( tmpLayers ){ + //self.queueLayer( layer ); + // } + + return layer; + }; + if (self.skipping && !firstGet) { + // log('skip layers'); + return null; + } + + // log('do layers'); + + var layer = null; + var maxElesPerLayer = eles.length / defNumLayers; + var allowLazyQueueing = !firstGet; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + var rs = ele._private.rscratch; + var caches = rs.imgLayerCaches = rs.imgLayerCaches || {}; + + // log('look at ele', ele.id()); + + var existingLayer = caches[lvl]; + if (existingLayer) { + // reuse layer for later eles + // log('reuse layer for', ele.id()); + layer = existingLayer; + continue; + } + if (!layer || layer.eles.length >= maxElesPerLayer || !boundingBoxInBoundingBox(layer.bb, ele.boundingBox())) { + // log('make new layer for ele %s', ele.id()); + + layer = makeLayer({ + insert: true, + after: layer + }); + + // if now layer can be built then we can't use layers at this level + if (!layer) { + return null; + } + + // log('new layer with id %s', layer.id); + } + + if (tmpLayers || allowLazyQueueing) { + // log('queue ele %s in layer %s', ele.id(), layer.id); + self.queueLayer(layer, ele); + } else { + // log('draw ele %s in layer %s', ele.id(), layer.id); + self.drawEleInLayer(layer, ele, lvl, pxRatio); + } + layer.eles.push(ele); + caches[lvl] = layer; + } + + // log('--'); + + if (tmpLayers) { + // then we only queued the current layerset and can't draw it yet + return tmpLayers; + } + if (allowLazyQueueing) { + // log('lazy queue level', lvl); + return null; + } + return layers; +}; + +// a layer may want to use an ele cache of a higher level to avoid blurriness +// so the layer level might not equal the ele level +LTCp.getEleLevelForLayerLevel = function (lvl, pxRatio) { + return lvl; +}; +LTCp.drawEleInLayer = function (layer, ele, lvl, pxRatio) { + var self = this; + var r = this.renderer; + var context = layer.context; + var bb = ele.boundingBox(); + if (bb.w === 0 || bb.h === 0 || !ele.visible()) { + return; + } + lvl = self.getEleLevelForLayerLevel(lvl, pxRatio); + { + r.setImgSmoothing(context, false); + } + { + r.drawCachedElement(context, ele, null, null, lvl, useHighQualityEleTxrReqs); + } + { + r.setImgSmoothing(context, true); + } +}; +LTCp.levelIsComplete = function (lvl, eles) { + var self = this; + var layers = self.layersByLevel[lvl]; + if (!layers || layers.length === 0) { + return false; + } + var numElesInLayers = 0; + for (var i = 0; i < layers.length; i++) { + var layer = layers[i]; + + // if there are any eles needed to be drawn yet, the level is not complete + if (layer.reqs > 0) { + return false; + } + + // if the layer is invalid, the level is not complete + if (layer.invalid) { + return false; + } + numElesInLayers += layer.eles.length; + } + + // we should have exactly the number of eles passed in to be complete + if (numElesInLayers !== eles.length) { + return false; + } + return true; +}; +LTCp.validateLayersElesOrdering = function (lvl, eles) { + var layers = this.layersByLevel[lvl]; + if (!layers) { + return; + } + + // if in a layer the eles are not in the same order, then the layer is invalid + // (i.e. there is an ele in between the eles in the layer) + + for (var i = 0; i < layers.length; i++) { + var layer = layers[i]; + var offset = -1; + + // find the offset + for (var j = 0; j < eles.length; j++) { + if (layer.eles[0] === eles[j]) { + offset = j; + break; + } + } + if (offset < 0) { + // then the layer has nonexistent elements and is invalid + this.invalidateLayer(layer); + continue; + } + + // the eles in the layer must be in the same continuous order, else the layer is invalid + + var o = offset; + for (var j = 0; j < layer.eles.length; j++) { + if (layer.eles[j] !== eles[o + j]) { + // log('invalidate based on ordering', layer.id); + + this.invalidateLayer(layer); + break; + } + } + } +}; +LTCp.updateElementsInLayers = function (eles, update) { + var self = this; + var isEles = element(eles[0]); + + // collect udpated elements (cascaded from the layers) and update each + // layer itself along the way + for (var i = 0; i < eles.length; i++) { + var req = isEles ? null : eles[i]; + var ele = isEles ? eles[i] : eles[i].ele; + var rs = ele._private.rscratch; + var caches = rs.imgLayerCaches = rs.imgLayerCaches || {}; + for (var l = minLvl; l <= maxLvl; l++) { + var layer = caches[l]; + if (!layer) { + continue; + } + + // if update is a request from the ele cache, then it affects only + // the matching level + if (req && self.getEleLevelForLayerLevel(layer.level) !== req.level) { + continue; + } + update(layer, ele, req); + } + } +}; +LTCp.haveLayers = function () { + var self = this; + var haveLayers = false; + for (var l = minLvl; l <= maxLvl; l++) { + var layers = self.layersByLevel[l]; + if (layers && layers.length > 0) { + haveLayers = true; + break; + } + } + return haveLayers; +}; +LTCp.invalidateElements = function (eles) { + var self = this; + if (eles.length === 0) { + return; + } + self.lastInvalidationTime = performanceNow(); + + // log('update invalidate layer time from eles'); + + if (eles.length === 0 || !self.haveLayers()) { + return; + } + self.updateElementsInLayers(eles, function invalAssocLayers(layer, ele, req) { + self.invalidateLayer(layer); + }); +}; +LTCp.invalidateLayer = function (layer) { + // log('update invalidate layer time'); + + this.lastInvalidationTime = performanceNow(); + if (layer.invalid) { + return; + } // save cycles + + var lvl = layer.level; + var eles = layer.eles; + var layers = this.layersByLevel[lvl]; + + // log('invalidate layer', layer.id ); + + removeFromArray(layers, layer); + // layer.eles = []; + + layer.elesQueue = []; + layer.invalid = true; + if (layer.replacement) { + layer.replacement.invalid = true; + } + for (var i = 0; i < eles.length; i++) { + var caches = eles[i]._private.rscratch.imgLayerCaches; + if (caches) { + caches[lvl] = null; + } + } +}; +LTCp.refineElementTextures = function (eles) { + var self = this; + + // log('refine', eles.length); + + self.updateElementsInLayers(eles, function refineEachEle(layer, ele, req) { + var rLyr = layer.replacement; + if (!rLyr) { + rLyr = layer.replacement = self.makeLayer(layer.bb, layer.level); + rLyr.replaces = layer; + rLyr.eles = layer.eles; + + // log('make replacement layer %s for %s with level %s', rLyr.id, layer.id, rLyr.level); + } + + if (!rLyr.reqs) { + for (var i = 0; i < rLyr.eles.length; i++) { + self.queueLayer(rLyr, rLyr.eles[i]); + } + + // log('queue replacement layer refinement', rLyr.id); + } + }); +}; + +LTCp.enqueueElementRefinement = function (ele) { + this.eleTxrDeqs.merge(ele); + this.scheduleElementRefinement(); +}; +LTCp.queueLayer = function (layer, ele) { + var self = this; + var q = self.layersQueue; + var elesQ = layer.elesQueue; + var hasId = elesQ.hasId = elesQ.hasId || {}; + + // if a layer is going to be replaced, queuing is a waste of time + if (layer.replacement) { + return; + } + if (ele) { + if (hasId[ele.id()]) { + return; + } + elesQ.push(ele); + hasId[ele.id()] = true; + } + if (layer.reqs) { + layer.reqs++; + q.updateItem(layer); + } else { + layer.reqs = 1; + q.push(layer); + } +}; +LTCp.dequeue = function (pxRatio) { + var self = this; + var q = self.layersQueue; + var deqd = []; + var eleDeqs = 0; + while (eleDeqs < maxDeqSize) { + if (q.size() === 0) { + break; + } + var layer = q.peek(); + + // if a layer has been or will be replaced, then don't waste time with it + if (layer.replacement) { + // log('layer %s in queue skipped b/c it already has a replacement', layer.id); + q.pop(); + continue; + } + + // if this is a replacement layer that has been superceded, then forget it + if (layer.replaces && layer !== layer.replaces.replacement) { + // log('layer is no longer the most uptodate replacement; dequeued', layer.id) + q.pop(); + continue; + } + if (layer.invalid) { + // log('replacement layer %s is invalid; dequeued', layer.id); + q.pop(); + continue; + } + var ele = layer.elesQueue.shift(); + if (ele) { + // log('dequeue layer %s', layer.id); + + self.drawEleInLayer(layer, ele, layer.level, pxRatio); + eleDeqs++; + } + if (deqd.length === 0) { + // we need only one entry in deqd to queue redrawing etc + deqd.push(true); + } + + // if the layer has all its eles done, then remove from the queue + if (layer.elesQueue.length === 0) { + q.pop(); + layer.reqs = 0; + + // log('dequeue of layer %s complete', layer.id); + + // when a replacement layer is dequeued, it replaces the old layer in the level + if (layer.replaces) { + self.applyLayerReplacement(layer); + } + self.requestRedraw(); + } + } + return deqd; +}; +LTCp.applyLayerReplacement = function (layer) { + var self = this; + var layersInLevel = self.layersByLevel[layer.level]; + var replaced = layer.replaces; + var index = layersInLevel.indexOf(replaced); + + // if the replaced layer is not in the active list for the level, then replacing + // refs would be a mistake (i.e. overwriting the true active layer) + if (index < 0 || replaced.invalid) { + // log('replacement layer would have no effect', layer.id); + return; + } + layersInLevel[index] = layer; // replace level ref + + // replace refs in eles + for (var i = 0; i < layer.eles.length; i++) { + var _p = layer.eles[i]._private; + var cache = _p.imgLayerCaches = _p.imgLayerCaches || {}; + if (cache) { + cache[layer.level] = layer; + } + } + + // log('apply replacement layer %s over %s', layer.id, replaced.id); + + self.requestRedraw(); +}; +LTCp.requestRedraw = debounce__default["default"](function () { + var r = this.renderer; + r.redrawHint('eles', true); + r.redrawHint('drag', true); + r.redraw(); +}, 100); +LTCp.setupDequeueing = defs.setupDequeueing({ + deqRedrawThreshold: deqRedrawThreshold, + deqCost: deqCost, + deqAvgCost: deqAvgCost, + deqNoDrawCost: deqNoDrawCost, + deqFastCost: deqFastCost, + deq: function deq(self, pxRatio) { + return self.dequeue(pxRatio); + }, + onDeqd: noop$1, + shouldRedraw: trueify, + priority: function priority(self) { + return self.renderer.beforeRenderPriorities.lyrTxrDeq; + } +}); + +var CRp$a = {}; +var impl; +function polygon(context, points) { + for (var i = 0; i < points.length; i++) { + var pt = points[i]; + context.lineTo(pt.x, pt.y); + } +} +function triangleBackcurve(context, points, controlPoint) { + var firstPt; + for (var i = 0; i < points.length; i++) { + var pt = points[i]; + if (i === 0) { + firstPt = pt; + } + context.lineTo(pt.x, pt.y); + } + context.quadraticCurveTo(controlPoint.x, controlPoint.y, firstPt.x, firstPt.y); +} +function triangleTee(context, trianglePoints, teePoints) { + if (context.beginPath) { + context.beginPath(); + } + var triPts = trianglePoints; + for (var i = 0; i < triPts.length; i++) { + var pt = triPts[i]; + context.lineTo(pt.x, pt.y); + } + var teePts = teePoints; + var firstTeePt = teePoints[0]; + context.moveTo(firstTeePt.x, firstTeePt.y); + for (var i = 1; i < teePts.length; i++) { + var pt = teePts[i]; + context.lineTo(pt.x, pt.y); + } + if (context.closePath) { + context.closePath(); + } +} +function circleTriangle(context, trianglePoints, rx, ry, r) { + if (context.beginPath) { + context.beginPath(); + } + context.arc(rx, ry, r, 0, Math.PI * 2, false); + var triPts = trianglePoints; + var firstTrPt = triPts[0]; + context.moveTo(firstTrPt.x, firstTrPt.y); + for (var i = 0; i < triPts.length; i++) { + var pt = triPts[i]; + context.lineTo(pt.x, pt.y); + } + if (context.closePath) { + context.closePath(); + } +} +function circle(context, rx, ry, r) { + context.arc(rx, ry, r, 0, Math.PI * 2, false); +} +CRp$a.arrowShapeImpl = function (name) { + return (impl || (impl = { + 'polygon': polygon, + 'triangle-backcurve': triangleBackcurve, + 'triangle-tee': triangleTee, + 'circle-triangle': circleTriangle, + 'triangle-cross': triangleTee, + 'circle': circle + }))[name]; +}; + +var CRp$9 = {}; +CRp$9.drawElement = function (context, ele, shiftToOriginWithBb, showLabel, showOverlay, showOpacity) { + var r = this; + if (ele.isNode()) { + r.drawNode(context, ele, shiftToOriginWithBb, showLabel, showOverlay, showOpacity); + } else { + r.drawEdge(context, ele, shiftToOriginWithBb, showLabel, showOverlay, showOpacity); + } +}; +CRp$9.drawElementOverlay = function (context, ele) { + var r = this; + if (ele.isNode()) { + r.drawNodeOverlay(context, ele); + } else { + r.drawEdgeOverlay(context, ele); + } +}; +CRp$9.drawElementUnderlay = function (context, ele) { + var r = this; + if (ele.isNode()) { + r.drawNodeUnderlay(context, ele); + } else { + r.drawEdgeUnderlay(context, ele); + } +}; +CRp$9.drawCachedElementPortion = function (context, ele, eleTxrCache, pxRatio, lvl, reason, getRotation, getOpacity) { + var r = this; + var bb = eleTxrCache.getBoundingBox(ele); + if (bb.w === 0 || bb.h === 0) { + return; + } // ignore zero size case + + var eleCache = eleTxrCache.getElement(ele, bb, pxRatio, lvl, reason); + if (eleCache != null) { + var opacity = getOpacity(r, ele); + if (opacity === 0) { + return; + } + var theta = getRotation(r, ele); + var x1 = bb.x1, + y1 = bb.y1, + w = bb.w, + h = bb.h; + var x, y, sx, sy, smooth; + if (theta !== 0) { + var rotPt = eleTxrCache.getRotationPoint(ele); + sx = rotPt.x; + sy = rotPt.y; + context.translate(sx, sy); + context.rotate(theta); + smooth = r.getImgSmoothing(context); + if (!smooth) { + r.setImgSmoothing(context, true); + } + var off = eleTxrCache.getRotationOffset(ele); + x = off.x; + y = off.y; + } else { + x = x1; + y = y1; + } + var oldGlobalAlpha; + if (opacity !== 1) { + oldGlobalAlpha = context.globalAlpha; + context.globalAlpha = oldGlobalAlpha * opacity; + } + context.drawImage(eleCache.texture.canvas, eleCache.x, 0, eleCache.width, eleCache.height, x, y, w, h); + if (opacity !== 1) { + context.globalAlpha = oldGlobalAlpha; + } + if (theta !== 0) { + context.rotate(-theta); + context.translate(-sx, -sy); + if (!smooth) { + r.setImgSmoothing(context, false); + } + } + } else { + eleTxrCache.drawElement(context, ele); // direct draw fallback + } +}; + +var getZeroRotation = function getZeroRotation() { + return 0; +}; +var getLabelRotation = function getLabelRotation(r, ele) { + return r.getTextAngle(ele, null); +}; +var getSourceLabelRotation = function getSourceLabelRotation(r, ele) { + return r.getTextAngle(ele, 'source'); +}; +var getTargetLabelRotation = function getTargetLabelRotation(r, ele) { + return r.getTextAngle(ele, 'target'); +}; +var getOpacity = function getOpacity(r, ele) { + return ele.effectiveOpacity(); +}; +var getTextOpacity = function getTextOpacity(e, ele) { + return ele.pstyle('text-opacity').pfValue * ele.effectiveOpacity(); +}; +CRp$9.drawCachedElement = function (context, ele, pxRatio, extent, lvl, requestHighQuality) { + var r = this; + var _r$data = r.data, + eleTxrCache = _r$data.eleTxrCache, + lblTxrCache = _r$data.lblTxrCache, + slbTxrCache = _r$data.slbTxrCache, + tlbTxrCache = _r$data.tlbTxrCache; + var bb = ele.boundingBox(); + var reason = requestHighQuality === true ? eleTxrCache.reasons.highQuality : null; + if (bb.w === 0 || bb.h === 0 || !ele.visible()) { + return; + } + if (!extent || boundingBoxesIntersect(bb, extent)) { + var isEdge = ele.isEdge(); + var badLine = ele.element()._private.rscratch.badLine; + r.drawElementUnderlay(context, ele); + r.drawCachedElementPortion(context, ele, eleTxrCache, pxRatio, lvl, reason, getZeroRotation, getOpacity); + if (!isEdge || !badLine) { + r.drawCachedElementPortion(context, ele, lblTxrCache, pxRatio, lvl, reason, getLabelRotation, getTextOpacity); + } + if (isEdge && !badLine) { + r.drawCachedElementPortion(context, ele, slbTxrCache, pxRatio, lvl, reason, getSourceLabelRotation, getTextOpacity); + r.drawCachedElementPortion(context, ele, tlbTxrCache, pxRatio, lvl, reason, getTargetLabelRotation, getTextOpacity); + } + r.drawElementOverlay(context, ele); + } +}; +CRp$9.drawElements = function (context, eles) { + var r = this; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + r.drawElement(context, ele); + } +}; +CRp$9.drawCachedElements = function (context, eles, pxRatio, extent) { + var r = this; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + r.drawCachedElement(context, ele, pxRatio, extent); + } +}; +CRp$9.drawCachedNodes = function (context, eles, pxRatio, extent) { + var r = this; + for (var i = 0; i < eles.length; i++) { + var ele = eles[i]; + if (!ele.isNode()) { + continue; + } + r.drawCachedElement(context, ele, pxRatio, extent); + } +}; +CRp$9.drawLayeredElements = function (context, eles, pxRatio, extent) { + var r = this; + var layers = r.data.lyrTxrCache.getLayers(eles, pxRatio); + if (layers) { + for (var i = 0; i < layers.length; i++) { + var layer = layers[i]; + var bb = layer.bb; + if (bb.w === 0 || bb.h === 0) { + continue; + } + context.drawImage(layer.canvas, bb.x1, bb.y1, bb.w, bb.h); + } + } else { + // fall back on plain caching if no layers + r.drawCachedElements(context, eles, pxRatio, extent); + } +}; + +/* global Path2D */ +var CRp$8 = {}; +CRp$8.drawEdge = function (context, edge, shiftToOriginWithBb) { + var drawLabel = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true; + var shouldDrawOverlay = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true; + var shouldDrawOpacity = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : true; + var r = this; + var rs = edge._private.rscratch; + if (shouldDrawOpacity && !edge.visible()) { + return; + } + + // if bezier ctrl pts can not be calculated, then die + if (rs.badLine || rs.allpts == null || isNaN(rs.allpts[0])) { + // isNaN in case edge is impossible and browser bugs (e.g. safari) + return; + } + var bb; + if (shiftToOriginWithBb) { + bb = shiftToOriginWithBb; + context.translate(-bb.x1, -bb.y1); + } + var opacity = shouldDrawOpacity ? edge.pstyle('opacity').value : 1; + var lineOpacity = shouldDrawOpacity ? edge.pstyle('line-opacity').value : 1; + var curveStyle = edge.pstyle('curve-style').value; + var lineStyle = edge.pstyle('line-style').value; + var edgeWidth = edge.pstyle('width').pfValue; + var lineCap = edge.pstyle('line-cap').value; + var effectiveLineOpacity = opacity * lineOpacity; + // separate arrow opacity would require arrow-opacity property + var effectiveArrowOpacity = opacity * lineOpacity; + var drawLine = function drawLine() { + var strokeOpacity = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : effectiveLineOpacity; + if (curveStyle === 'straight-triangle') { + r.eleStrokeStyle(context, edge, strokeOpacity); + r.drawEdgeTrianglePath(edge, context, rs.allpts); + } else { + context.lineWidth = edgeWidth; + context.lineCap = lineCap; + r.eleStrokeStyle(context, edge, strokeOpacity); + r.drawEdgePath(edge, context, rs.allpts, lineStyle); + context.lineCap = 'butt'; // reset for other drawing functions + } + }; + + var drawOverlay = function drawOverlay() { + if (!shouldDrawOverlay) { + return; + } + r.drawEdgeOverlay(context, edge); + }; + var drawUnderlay = function drawUnderlay() { + if (!shouldDrawOverlay) { + return; + } + r.drawEdgeUnderlay(context, edge); + }; + var drawArrows = function drawArrows() { + var arrowOpacity = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : effectiveArrowOpacity; + r.drawArrowheads(context, edge, arrowOpacity); + }; + var drawText = function drawText() { + r.drawElementText(context, edge, null, drawLabel); + }; + context.lineJoin = 'round'; + var ghost = edge.pstyle('ghost').value === 'yes'; + if (ghost) { + var gx = edge.pstyle('ghost-offset-x').pfValue; + var gy = edge.pstyle('ghost-offset-y').pfValue; + var ghostOpacity = edge.pstyle('ghost-opacity').value; + var effectiveGhostOpacity = effectiveLineOpacity * ghostOpacity; + context.translate(gx, gy); + drawLine(effectiveGhostOpacity); + drawArrows(effectiveGhostOpacity); + context.translate(-gx, -gy); + } + drawUnderlay(); + drawLine(); + drawArrows(); + drawOverlay(); + drawText(); + if (shiftToOriginWithBb) { + context.translate(bb.x1, bb.y1); + } +}; +var drawEdgeOverlayUnderlay = function drawEdgeOverlayUnderlay(overlayOrUnderlay) { + if (!['overlay', 'underlay'].includes(overlayOrUnderlay)) { + throw new Error('Invalid state'); + } + return function (context, edge) { + if (!edge.visible()) { + return; + } + var opacity = edge.pstyle("".concat(overlayOrUnderlay, "-opacity")).value; + if (opacity === 0) { + return; + } + var r = this; + var usePaths = r.usePaths(); + var rs = edge._private.rscratch; + var padding = edge.pstyle("".concat(overlayOrUnderlay, "-padding")).pfValue; + var width = 2 * padding; + var color = edge.pstyle("".concat(overlayOrUnderlay, "-color")).value; + context.lineWidth = width; + if (rs.edgeType === 'self' && !usePaths) { + context.lineCap = 'butt'; + } else { + context.lineCap = 'round'; + } + r.colorStrokeStyle(context, color[0], color[1], color[2], opacity); + r.drawEdgePath(edge, context, rs.allpts, 'solid'); + }; +}; +CRp$8.drawEdgeOverlay = drawEdgeOverlayUnderlay('overlay'); +CRp$8.drawEdgeUnderlay = drawEdgeOverlayUnderlay('underlay'); +CRp$8.drawEdgePath = function (edge, context, pts, type) { + var rs = edge._private.rscratch; + var canvasCxt = context; + var path; + var pathCacheHit = false; + var usePaths = this.usePaths(); + var lineDashPattern = edge.pstyle('line-dash-pattern').pfValue; + var lineDashOffset = edge.pstyle('line-dash-offset').pfValue; + if (usePaths) { + var pathCacheKey = pts.join('$'); + var keyMatches = rs.pathCacheKey && rs.pathCacheKey === pathCacheKey; + if (keyMatches) { + path = context = rs.pathCache; + pathCacheHit = true; + } else { + path = context = new Path2D(); + rs.pathCacheKey = pathCacheKey; + rs.pathCache = path; + } + } + if (canvasCxt.setLineDash) { + // for very outofdate browsers + switch (type) { + case 'dotted': + canvasCxt.setLineDash([1, 1]); + break; + case 'dashed': + canvasCxt.setLineDash(lineDashPattern); + canvasCxt.lineDashOffset = lineDashOffset; + break; + case 'solid': + canvasCxt.setLineDash([]); + break; + } + } + if (!pathCacheHit && !rs.badLine) { + if (context.beginPath) { + context.beginPath(); + } + context.moveTo(pts[0], pts[1]); + switch (rs.edgeType) { + case 'bezier': + case 'self': + case 'compound': + case 'multibezier': + for (var i = 2; i + 3 < pts.length; i += 4) { + context.quadraticCurveTo(pts[i], pts[i + 1], pts[i + 2], pts[i + 3]); + } + break; + case 'straight': + case 'segments': + case 'haystack': + for (var _i = 2; _i + 1 < pts.length; _i += 2) { + context.lineTo(pts[_i], pts[_i + 1]); + } + break; + } + } + context = canvasCxt; + if (usePaths) { + context.stroke(path); + } else { + context.stroke(); + } + + // reset any line dashes + if (context.setLineDash) { + // for very outofdate browsers + context.setLineDash([]); + } +}; +CRp$8.drawEdgeTrianglePath = function (edge, context, pts) { + // use line stroke style for triangle fill style + context.fillStyle = context.strokeStyle; + var edgeWidth = edge.pstyle('width').pfValue; + for (var i = 0; i + 1 < pts.length; i += 2) { + var vector = [pts[i + 2] - pts[i], pts[i + 3] - pts[i + 1]]; + var length = Math.sqrt(vector[0] * vector[0] + vector[1] * vector[1]); + var normal = [vector[1] / length, -vector[0] / length]; + var triangleHead = [normal[0] * edgeWidth / 2, normal[1] * edgeWidth / 2]; + context.beginPath(); + context.moveTo(pts[i] - triangleHead[0], pts[i + 1] - triangleHead[1]); + context.lineTo(pts[i] + triangleHead[0], pts[i + 1] + triangleHead[1]); + context.lineTo(pts[i + 2], pts[i + 3]); + context.closePath(); + context.fill(); + } +}; +CRp$8.drawArrowheads = function (context, edge, opacity) { + var rs = edge._private.rscratch; + var isHaystack = rs.edgeType === 'haystack'; + if (!isHaystack) { + this.drawArrowhead(context, edge, 'source', rs.arrowStartX, rs.arrowStartY, rs.srcArrowAngle, opacity); + } + this.drawArrowhead(context, edge, 'mid-target', rs.midX, rs.midY, rs.midtgtArrowAngle, opacity); + this.drawArrowhead(context, edge, 'mid-source', rs.midX, rs.midY, rs.midsrcArrowAngle, opacity); + if (!isHaystack) { + this.drawArrowhead(context, edge, 'target', rs.arrowEndX, rs.arrowEndY, rs.tgtArrowAngle, opacity); + } +}; +CRp$8.drawArrowhead = function (context, edge, prefix, x, y, angle, opacity) { + if (isNaN(x) || x == null || isNaN(y) || y == null || isNaN(angle) || angle == null) { + return; + } + var self = this; + var arrowShape = edge.pstyle(prefix + '-arrow-shape').value; + if (arrowShape === 'none') { + return; + } + var arrowClearFill = edge.pstyle(prefix + '-arrow-fill').value === 'hollow' ? 'both' : 'filled'; + var arrowFill = edge.pstyle(prefix + '-arrow-fill').value; + var edgeWidth = edge.pstyle('width').pfValue; + var pArrowWidth = edge.pstyle(prefix + '-arrow-width'); + var arrowWidth = pArrowWidth.value === 'match-line' ? edgeWidth : pArrowWidth.pfValue; + if (pArrowWidth.units === '%') arrowWidth *= edgeWidth; + var edgeOpacity = edge.pstyle('opacity').value; + if (opacity === undefined) { + opacity = edgeOpacity; + } + var gco = context.globalCompositeOperation; + if (opacity !== 1 || arrowFill === 'hollow') { + // then extra clear is needed + context.globalCompositeOperation = 'destination-out'; + self.colorFillStyle(context, 255, 255, 255, 1); + self.colorStrokeStyle(context, 255, 255, 255, 1); + self.drawArrowShape(edge, context, arrowClearFill, edgeWidth, arrowShape, arrowWidth, x, y, angle); + context.globalCompositeOperation = gco; + } // otherwise, the opaque arrow clears it for free :) + + var color = edge.pstyle(prefix + '-arrow-color').value; + self.colorFillStyle(context, color[0], color[1], color[2], opacity); + self.colorStrokeStyle(context, color[0], color[1], color[2], opacity); + self.drawArrowShape(edge, context, arrowFill, edgeWidth, arrowShape, arrowWidth, x, y, angle); +}; +CRp$8.drawArrowShape = function (edge, context, fill, edgeWidth, shape, shapeWidth, x, y, angle) { + var r = this; + var usePaths = this.usePaths() && shape !== 'triangle-cross'; + var pathCacheHit = false; + var path; + var canvasContext = context; + var translation = { + x: x, + y: y + }; + var scale = edge.pstyle('arrow-scale').value; + var size = this.getArrowWidth(edgeWidth, scale); + var shapeImpl = r.arrowShapes[shape]; + if (usePaths) { + var cache = r.arrowPathCache = r.arrowPathCache || []; + var key = hashString(shape); + var cachedPath = cache[key]; + if (cachedPath != null) { + path = context = cachedPath; + pathCacheHit = true; + } else { + path = context = new Path2D(); + cache[key] = path; + } + } + if (!pathCacheHit) { + if (context.beginPath) { + context.beginPath(); + } + if (usePaths) { + // store in the path cache with values easily manipulated later + shapeImpl.draw(context, 1, 0, { + x: 0, + y: 0 + }, 1); + } else { + shapeImpl.draw(context, size, angle, translation, edgeWidth); + } + if (context.closePath) { + context.closePath(); + } + } + context = canvasContext; + if (usePaths) { + // set transform to arrow position/orientation + context.translate(x, y); + context.rotate(angle); + context.scale(size, size); + } + if (fill === 'filled' || fill === 'both') { + if (usePaths) { + context.fill(path); + } else { + context.fill(); + } + } + if (fill === 'hollow' || fill === 'both') { + context.lineWidth = shapeWidth / (usePaths ? size : 1); + context.lineJoin = 'miter'; + if (usePaths) { + context.stroke(path); + } else { + context.stroke(); + } + } + if (usePaths) { + // reset transform by applying inverse + context.scale(1 / size, 1 / size); + context.rotate(-angle); + context.translate(-x, -y); + } +}; + +var CRp$7 = {}; +CRp$7.safeDrawImage = function (context, img, ix, iy, iw, ih, x, y, w, h) { + // detect problematic cases for old browsers with bad images (cheaper than try-catch) + if (iw <= 0 || ih <= 0 || w <= 0 || h <= 0) { + return; + } + try { + context.drawImage(img, ix, iy, iw, ih, x, y, w, h); + } catch (e) { + warn(e); + } +}; +CRp$7.drawInscribedImage = function (context, img, node, index, nodeOpacity) { + var r = this; + var pos = node.position(); + var nodeX = pos.x; + var nodeY = pos.y; + var styleObj = node.cy().style(); + var getIndexedStyle = styleObj.getIndexedStyle.bind(styleObj); + var fit = getIndexedStyle(node, 'background-fit', 'value', index); + var repeat = getIndexedStyle(node, 'background-repeat', 'value', index); + var nodeW = node.width(); + var nodeH = node.height(); + var paddingX2 = node.padding() * 2; + var nodeTW = nodeW + (getIndexedStyle(node, 'background-width-relative-to', 'value', index) === 'inner' ? 0 : paddingX2); + var nodeTH = nodeH + (getIndexedStyle(node, 'background-height-relative-to', 'value', index) === 'inner' ? 0 : paddingX2); + var rs = node._private.rscratch; + var clip = getIndexedStyle(node, 'background-clip', 'value', index); + var shouldClip = clip === 'node'; + var imgOpacity = getIndexedStyle(node, 'background-image-opacity', 'value', index) * nodeOpacity; + var smooth = getIndexedStyle(node, 'background-image-smoothing', 'value', index); + var imgW = img.width || img.cachedW; + var imgH = img.height || img.cachedH; + + // workaround for broken browsers like ie + if (null == imgW || null == imgH) { + document.body.appendChild(img); // eslint-disable-line no-undef + + imgW = img.cachedW = img.width || img.offsetWidth; + imgH = img.cachedH = img.height || img.offsetHeight; + document.body.removeChild(img); // eslint-disable-line no-undef + } + + var w = imgW; + var h = imgH; + if (getIndexedStyle(node, 'background-width', 'value', index) !== 'auto') { + if (getIndexedStyle(node, 'background-width', 'units', index) === '%') { + w = getIndexedStyle(node, 'background-width', 'pfValue', index) * nodeTW; + } else { + w = getIndexedStyle(node, 'background-width', 'pfValue', index); + } + } + if (getIndexedStyle(node, 'background-height', 'value', index) !== 'auto') { + if (getIndexedStyle(node, 'background-height', 'units', index) === '%') { + h = getIndexedStyle(node, 'background-height', 'pfValue', index) * nodeTH; + } else { + h = getIndexedStyle(node, 'background-height', 'pfValue', index); + } + } + if (w === 0 || h === 0) { + return; // no point in drawing empty image (and chrome is broken in this case) + } + + if (fit === 'contain') { + var scale = Math.min(nodeTW / w, nodeTH / h); + w *= scale; + h *= scale; + } else if (fit === 'cover') { + var scale = Math.max(nodeTW / w, nodeTH / h); + w *= scale; + h *= scale; + } + var x = nodeX - nodeTW / 2; // left + var posXUnits = getIndexedStyle(node, 'background-position-x', 'units', index); + var posXPfVal = getIndexedStyle(node, 'background-position-x', 'pfValue', index); + if (posXUnits === '%') { + x += (nodeTW - w) * posXPfVal; + } else { + x += posXPfVal; + } + var offXUnits = getIndexedStyle(node, 'background-offset-x', 'units', index); + var offXPfVal = getIndexedStyle(node, 'background-offset-x', 'pfValue', index); + if (offXUnits === '%') { + x += (nodeTW - w) * offXPfVal; + } else { + x += offXPfVal; + } + var y = nodeY - nodeTH / 2; // top + var posYUnits = getIndexedStyle(node, 'background-position-y', 'units', index); + var posYPfVal = getIndexedStyle(node, 'background-position-y', 'pfValue', index); + if (posYUnits === '%') { + y += (nodeTH - h) * posYPfVal; + } else { + y += posYPfVal; + } + var offYUnits = getIndexedStyle(node, 'background-offset-y', 'units', index); + var offYPfVal = getIndexedStyle(node, 'background-offset-y', 'pfValue', index); + if (offYUnits === '%') { + y += (nodeTH - h) * offYPfVal; + } else { + y += offYPfVal; + } + if (rs.pathCache) { + x -= nodeX; + y -= nodeY; + nodeX = 0; + nodeY = 0; + } + var gAlpha = context.globalAlpha; + context.globalAlpha = imgOpacity; + var smoothingEnabled = r.getImgSmoothing(context); + var isSmoothingSwitched = false; + if (smooth === 'no' && smoothingEnabled) { + r.setImgSmoothing(context, false); + isSmoothingSwitched = true; + } else if (smooth === 'yes' && !smoothingEnabled) { + r.setImgSmoothing(context, true); + isSmoothingSwitched = true; + } + if (repeat === 'no-repeat') { + if (shouldClip) { + context.save(); + if (rs.pathCache) { + context.clip(rs.pathCache); + } else { + r.nodeShapes[r.getNodeShape(node)].draw(context, nodeX, nodeY, nodeTW, nodeTH); + context.clip(); + } + } + r.safeDrawImage(context, img, 0, 0, imgW, imgH, x, y, w, h); + if (shouldClip) { + context.restore(); + } + } else { + var pattern = context.createPattern(img, repeat); + context.fillStyle = pattern; + r.nodeShapes[r.getNodeShape(node)].draw(context, nodeX, nodeY, nodeTW, nodeTH); + context.translate(x, y); + context.fill(); + context.translate(-x, -y); + } + context.globalAlpha = gAlpha; + if (isSmoothingSwitched) { + r.setImgSmoothing(context, smoothingEnabled); + } +}; + +var CRp$6 = {}; +CRp$6.eleTextBiggerThanMin = function (ele, scale) { + if (!scale) { + var zoom = ele.cy().zoom(); + var pxRatio = this.getPixelRatio(); + var lvl = Math.ceil(log2(zoom * pxRatio)); // the effective texture level + + scale = Math.pow(2, lvl); + } + var computedSize = ele.pstyle('font-size').pfValue * scale; + var minSize = ele.pstyle('min-zoomed-font-size').pfValue; + if (computedSize < minSize) { + return false; + } + return true; +}; +CRp$6.drawElementText = function (context, ele, shiftToOriginWithBb, force, prefix) { + var useEleOpacity = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : true; + var r = this; + if (force == null) { + if (useEleOpacity && !r.eleTextBiggerThanMin(ele)) { + return; + } + } else if (force === false) { + return; + } + if (ele.isNode()) { + var label = ele.pstyle('label'); + if (!label || !label.value) { + return; + } + var justification = r.getLabelJustification(ele); + context.textAlign = justification; + context.textBaseline = 'bottom'; + } else { + var badLine = ele.element()._private.rscratch.badLine; + var _label = ele.pstyle('label'); + var srcLabel = ele.pstyle('source-label'); + var tgtLabel = ele.pstyle('target-label'); + if (badLine || (!_label || !_label.value) && (!srcLabel || !srcLabel.value) && (!tgtLabel || !tgtLabel.value)) { + return; + } + context.textAlign = 'center'; + context.textBaseline = 'bottom'; + } + var applyRotation = !shiftToOriginWithBb; + var bb; + if (shiftToOriginWithBb) { + bb = shiftToOriginWithBb; + context.translate(-bb.x1, -bb.y1); + } + if (prefix == null) { + r.drawText(context, ele, null, applyRotation, useEleOpacity); + if (ele.isEdge()) { + r.drawText(context, ele, 'source', applyRotation, useEleOpacity); + r.drawText(context, ele, 'target', applyRotation, useEleOpacity); + } + } else { + r.drawText(context, ele, prefix, applyRotation, useEleOpacity); + } + if (shiftToOriginWithBb) { + context.translate(bb.x1, bb.y1); + } +}; +CRp$6.getFontCache = function (context) { + var cache; + this.fontCaches = this.fontCaches || []; + for (var i = 0; i < this.fontCaches.length; i++) { + cache = this.fontCaches[i]; + if (cache.context === context) { + return cache; + } + } + cache = { + context: context + }; + this.fontCaches.push(cache); + return cache; +}; + +// set up canvas context with font +// returns transformed text string +CRp$6.setupTextStyle = function (context, ele) { + var useEleOpacity = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : true; + // Font style + var labelStyle = ele.pstyle('font-style').strValue; + var labelSize = ele.pstyle('font-size').pfValue + 'px'; + var labelFamily = ele.pstyle('font-family').strValue; + var labelWeight = ele.pstyle('font-weight').strValue; + var opacity = useEleOpacity ? ele.effectiveOpacity() * ele.pstyle('text-opacity').value : 1; + var outlineOpacity = ele.pstyle('text-outline-opacity').value * opacity; + var color = ele.pstyle('color').value; + var outlineColor = ele.pstyle('text-outline-color').value; + context.font = labelStyle + ' ' + labelWeight + ' ' + labelSize + ' ' + labelFamily; + context.lineJoin = 'round'; // so text outlines aren't jagged + + this.colorFillStyle(context, color[0], color[1], color[2], opacity); + this.colorStrokeStyle(context, outlineColor[0], outlineColor[1], outlineColor[2], outlineOpacity); +}; + +// TODO ensure re-used +function roundRect(ctx, x, y, width, height) { + var radius = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : 5; + var stroke = arguments.length > 6 ? arguments[6] : undefined; + ctx.beginPath(); + ctx.moveTo(x + radius, y); + ctx.lineTo(x + width - radius, y); + ctx.quadraticCurveTo(x + width, y, x + width, y + radius); + ctx.lineTo(x + width, y + height - radius); + ctx.quadraticCurveTo(x + width, y + height, x + width - radius, y + height); + ctx.lineTo(x + radius, y + height); + ctx.quadraticCurveTo(x, y + height, x, y + height - radius); + ctx.lineTo(x, y + radius); + ctx.quadraticCurveTo(x, y, x + radius, y); + ctx.closePath(); + if (stroke) ctx.stroke();else ctx.fill(); +} +CRp$6.getTextAngle = function (ele, prefix) { + var theta; + var _p = ele._private; + var rscratch = _p.rscratch; + var pdash = prefix ? prefix + '-' : ''; + var rotation = ele.pstyle(pdash + 'text-rotation'); + var textAngle = getPrefixedProperty(rscratch, 'labelAngle', prefix); + if (rotation.strValue === 'autorotate') { + theta = ele.isEdge() ? textAngle : 0; + } else if (rotation.strValue === 'none') { + theta = 0; + } else { + theta = rotation.pfValue; + } + return theta; +}; +CRp$6.drawText = function (context, ele, prefix) { + var applyRotation = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true; + var useEleOpacity = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true; + var _p = ele._private; + var rscratch = _p.rscratch; + var parentOpacity = useEleOpacity ? ele.effectiveOpacity() : 1; + if (useEleOpacity && (parentOpacity === 0 || ele.pstyle('text-opacity').value === 0)) { + return; + } + + // use 'main' as an alias for the main label (i.e. null prefix) + if (prefix === 'main') { + prefix = null; + } + var textX = getPrefixedProperty(rscratch, 'labelX', prefix); + var textY = getPrefixedProperty(rscratch, 'labelY', prefix); + var orgTextX, orgTextY; // used for rotation + var text = this.getLabelText(ele, prefix); + if (text != null && text !== '' && !isNaN(textX) && !isNaN(textY)) { + this.setupTextStyle(context, ele, useEleOpacity); + var pdash = prefix ? prefix + '-' : ''; + var textW = getPrefixedProperty(rscratch, 'labelWidth', prefix); + var textH = getPrefixedProperty(rscratch, 'labelHeight', prefix); + var marginX = ele.pstyle(pdash + 'text-margin-x').pfValue; + var marginY = ele.pstyle(pdash + 'text-margin-y').pfValue; + var isEdge = ele.isEdge(); + var halign = ele.pstyle('text-halign').value; + var valign = ele.pstyle('text-valign').value; + if (isEdge) { + halign = 'center'; + valign = 'center'; + } + textX += marginX; + textY += marginY; + var theta; + if (!applyRotation) { + theta = 0; + } else { + theta = this.getTextAngle(ele, prefix); + } + if (theta !== 0) { + orgTextX = textX; + orgTextY = textY; + context.translate(orgTextX, orgTextY); + context.rotate(theta); + textX = 0; + textY = 0; + } + switch (valign) { + case 'top': + break; + case 'center': + textY += textH / 2; + break; + case 'bottom': + textY += textH; + break; + } + var backgroundOpacity = ele.pstyle('text-background-opacity').value; + var borderOpacity = ele.pstyle('text-border-opacity').value; + var textBorderWidth = ele.pstyle('text-border-width').pfValue; + var backgroundPadding = ele.pstyle('text-background-padding').pfValue; + var styleShape = ele.pstyle('text-background-shape').strValue; + var rounded = styleShape.indexOf('round') === 0; + var roundRadius = 2; + if (backgroundOpacity > 0 || textBorderWidth > 0 && borderOpacity > 0) { + var bgX = textX - backgroundPadding; + switch (halign) { + case 'left': + bgX -= textW; + break; + case 'center': + bgX -= textW / 2; + break; + } + var bgY = textY - textH - backgroundPadding; + var bgW = textW + 2 * backgroundPadding; + var bgH = textH + 2 * backgroundPadding; + if (backgroundOpacity > 0) { + var textFill = context.fillStyle; + var textBackgroundColor = ele.pstyle('text-background-color').value; + context.fillStyle = 'rgba(' + textBackgroundColor[0] + ',' + textBackgroundColor[1] + ',' + textBackgroundColor[2] + ',' + backgroundOpacity * parentOpacity + ')'; + if (rounded) { + roundRect(context, bgX, bgY, bgW, bgH, roundRadius); + } else { + context.fillRect(bgX, bgY, bgW, bgH); + } + context.fillStyle = textFill; + } + if (textBorderWidth > 0 && borderOpacity > 0) { + var textStroke = context.strokeStyle; + var textLineWidth = context.lineWidth; + var textBorderColor = ele.pstyle('text-border-color').value; + var textBorderStyle = ele.pstyle('text-border-style').value; + context.strokeStyle = 'rgba(' + textBorderColor[0] + ',' + textBorderColor[1] + ',' + textBorderColor[2] + ',' + borderOpacity * parentOpacity + ')'; + context.lineWidth = textBorderWidth; + if (context.setLineDash) { + // for very outofdate browsers + switch (textBorderStyle) { + case 'dotted': + context.setLineDash([1, 1]); + break; + case 'dashed': + context.setLineDash([4, 2]); + break; + case 'double': + context.lineWidth = textBorderWidth / 4; // 50% reserved for white between the two borders + context.setLineDash([]); + break; + case 'solid': + context.setLineDash([]); + break; + } + } + if (rounded) { + roundRect(context, bgX, bgY, bgW, bgH, roundRadius, 'stroke'); + } else { + context.strokeRect(bgX, bgY, bgW, bgH); + } + if (textBorderStyle === 'double') { + var whiteWidth = textBorderWidth / 2; + if (rounded) { + roundRect(context, bgX + whiteWidth, bgY + whiteWidth, bgW - whiteWidth * 2, bgH - whiteWidth * 2, roundRadius, 'stroke'); + } else { + context.strokeRect(bgX + whiteWidth, bgY + whiteWidth, bgW - whiteWidth * 2, bgH - whiteWidth * 2); + } + } + if (context.setLineDash) { + // for very outofdate browsers + context.setLineDash([]); + } + context.lineWidth = textLineWidth; + context.strokeStyle = textStroke; + } + } + var lineWidth = 2 * ele.pstyle('text-outline-width').pfValue; // *2 b/c the stroke is drawn centred on the middle + + if (lineWidth > 0) { + context.lineWidth = lineWidth; + } + if (ele.pstyle('text-wrap').value === 'wrap') { + var lines = getPrefixedProperty(rscratch, 'labelWrapCachedLines', prefix); + var lineHeight = getPrefixedProperty(rscratch, 'labelLineHeight', prefix); + var halfTextW = textW / 2; + var justification = this.getLabelJustification(ele); + if (justification === 'auto') ; else if (halign === 'left') { + // auto justification : right + if (justification === 'left') { + textX += -textW; + } else if (justification === 'center') { + textX += -halfTextW; + } // else same as auto + } else if (halign === 'center') { + // auto justfication : center + if (justification === 'left') { + textX += -halfTextW; + } else if (justification === 'right') { + textX += halfTextW; + } // else same as auto + } else if (halign === 'right') { + // auto justification : left + if (justification === 'center') { + textX += halfTextW; + } else if (justification === 'right') { + textX += textW; + } // else same as auto + } + + switch (valign) { + case 'top': + textY -= (lines.length - 1) * lineHeight; + break; + case 'center': + case 'bottom': + textY -= (lines.length - 1) * lineHeight; + break; + } + for (var l = 0; l < lines.length; l++) { + if (lineWidth > 0) { + context.strokeText(lines[l], textX, textY); + } + context.fillText(lines[l], textX, textY); + textY += lineHeight; + } + } else { + if (lineWidth > 0) { + context.strokeText(text, textX, textY); + } + context.fillText(text, textX, textY); + } + if (theta !== 0) { + context.rotate(-theta); + context.translate(-orgTextX, -orgTextY); + } + } +}; + +/* global Path2D */ +var CRp$5 = {}; +CRp$5.drawNode = function (context, node, shiftToOriginWithBb) { + var drawLabel = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true; + var shouldDrawOverlay = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true; + var shouldDrawOpacity = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : true; + var r = this; + var nodeWidth, nodeHeight; + var _p = node._private; + var rs = _p.rscratch; + var pos = node.position(); + if (!number$1(pos.x) || !number$1(pos.y)) { + return; // can't draw node with undefined position + } + + if (shouldDrawOpacity && !node.visible()) { + return; + } + var eleOpacity = shouldDrawOpacity ? node.effectiveOpacity() : 1; + var usePaths = r.usePaths(); + var path; + var pathCacheHit = false; + var padding = node.padding(); + nodeWidth = node.width() + 2 * padding; + nodeHeight = node.height() + 2 * padding; + + // + // setup shift + + var bb; + if (shiftToOriginWithBb) { + bb = shiftToOriginWithBb; + context.translate(-bb.x1, -bb.y1); + } + + // + // load bg image + + var bgImgProp = node.pstyle('background-image'); + var urls = bgImgProp.value; + var urlDefined = new Array(urls.length); + var image = new Array(urls.length); + var numImages = 0; + for (var i = 0; i < urls.length; i++) { + var url = urls[i]; + var defd = urlDefined[i] = url != null && url !== 'none'; + if (defd) { + var bgImgCrossOrigin = node.cy().style().getIndexedStyle(node, 'background-image-crossorigin', 'value', i); + numImages++; + + // get image, and if not loaded then ask to redraw when later loaded + image[i] = r.getCachedImage(url, bgImgCrossOrigin, function () { + _p.backgroundTimestamp = Date.now(); + node.emitAndNotify('background'); + }); + } + } + + // + // setup styles + + var darkness = node.pstyle('background-blacken').value; + var borderWidth = node.pstyle('border-width').pfValue; + var bgOpacity = node.pstyle('background-opacity').value * eleOpacity; + var borderColor = node.pstyle('border-color').value; + var borderStyle = node.pstyle('border-style').value; + var borderOpacity = node.pstyle('border-opacity').value * eleOpacity; + var outlineWidth = node.pstyle('outline-width').pfValue; + var outlineColor = node.pstyle('outline-color').value; + var outlineStyle = node.pstyle('outline-style').value; + var outlineOpacity = node.pstyle('outline-opacity').value * eleOpacity; + var outlineOffset = node.pstyle('outline-offset').value; + context.lineJoin = 'miter'; // so borders are square with the node shape + + var setupShapeColor = function setupShapeColor() { + var bgOpy = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : bgOpacity; + r.eleFillStyle(context, node, bgOpy); + }; + var setupBorderColor = function setupBorderColor() { + var bdrOpy = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : borderOpacity; + r.colorStrokeStyle(context, borderColor[0], borderColor[1], borderColor[2], bdrOpy); + }; + var setupOutlineColor = function setupOutlineColor() { + var otlnOpy = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : outlineOpacity; + r.colorStrokeStyle(context, outlineColor[0], outlineColor[1], outlineColor[2], otlnOpy); + }; + + // + // setup shape + + var getPath = function getPath(width, height, shape, points) { + var pathCache = r.nodePathCache = r.nodePathCache || []; + var key = hashStrings(shape === 'polygon' ? shape + ',' + points.join(',') : shape, '' + height, '' + width); + var cachedPath = pathCache[key]; + var path; + var cacheHit = false; + if (cachedPath != null) { + path = cachedPath; + cacheHit = true; + rs.pathCache = path; + } else { + path = new Path2D(); + pathCache[key] = rs.pathCache = path; + } + return { + path: path, + cacheHit: cacheHit + }; + }; + var styleShape = node.pstyle('shape').strValue; + var shapePts = node.pstyle('shape-polygon-points').pfValue; + if (usePaths) { + context.translate(pos.x, pos.y); + var shapePath = getPath(nodeWidth, nodeHeight, styleShape, shapePts); + path = shapePath.path; + pathCacheHit = shapePath.cacheHit; + } + var drawShape = function drawShape() { + if (!pathCacheHit) { + var npos = pos; + if (usePaths) { + npos = { + x: 0, + y: 0 + }; + } + r.nodeShapes[r.getNodeShape(node)].draw(path || context, npos.x, npos.y, nodeWidth, nodeHeight); + } + if (usePaths) { + context.fill(path); + } else { + context.fill(); + } + }; + var drawImages = function drawImages() { + var nodeOpacity = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : eleOpacity; + var inside = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; + var prevBging = _p.backgrounding; + var totalCompleted = 0; + for (var _i = 0; _i < image.length; _i++) { + var bgContainment = node.cy().style().getIndexedStyle(node, 'background-image-containment', 'value', _i); + if (inside && bgContainment === 'over' || !inside && bgContainment === 'inside') { + totalCompleted++; + continue; + } + if (urlDefined[_i] && image[_i].complete && !image[_i].error) { + totalCompleted++; + r.drawInscribedImage(context, image[_i], node, _i, nodeOpacity); + } + } + _p.backgrounding = !(totalCompleted === numImages); + if (prevBging !== _p.backgrounding) { + // update style b/c :backgrounding state changed + node.updateStyle(false); + } + }; + var drawPie = function drawPie() { + var redrawShape = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : false; + var pieOpacity = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : eleOpacity; + if (r.hasPie(node)) { + r.drawPie(context, node, pieOpacity); + + // redraw/restore path if steps after pie need it + if (redrawShape) { + if (!usePaths) { + r.nodeShapes[r.getNodeShape(node)].draw(context, pos.x, pos.y, nodeWidth, nodeHeight); + } + } + } + }; + var darken = function darken() { + var darkenOpacity = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : eleOpacity; + var opacity = (darkness > 0 ? darkness : -darkness) * darkenOpacity; + var c = darkness > 0 ? 0 : 255; + if (darkness !== 0) { + r.colorFillStyle(context, c, c, c, opacity); + if (usePaths) { + context.fill(path); + } else { + context.fill(); + } + } + }; + var drawBorder = function drawBorder() { + if (borderWidth > 0) { + context.lineWidth = borderWidth; + context.lineCap = 'butt'; + if (context.setLineDash) { + // for very outofdate browsers + switch (borderStyle) { + case 'dotted': + context.setLineDash([1, 1]); + break; + case 'dashed': + context.setLineDash([4, 2]); + break; + case 'solid': + case 'double': + context.setLineDash([]); + break; + } + } + if (usePaths) { + context.stroke(path); + } else { + context.stroke(); + } + if (borderStyle === 'double') { + context.lineWidth = borderWidth / 3; + var gco = context.globalCompositeOperation; + context.globalCompositeOperation = 'destination-out'; + if (usePaths) { + context.stroke(path); + } else { + context.stroke(); + } + context.globalCompositeOperation = gco; + } + + // reset in case we changed the border style + if (context.setLineDash) { + // for very outofdate browsers + context.setLineDash([]); + } + } + }; + var drawOutline = function drawOutline() { + if (outlineWidth > 0) { + context.lineWidth = outlineWidth; + context.lineCap = 'butt'; + if (context.setLineDash) { + // for very outofdate browsers + switch (outlineStyle) { + case 'dotted': + context.setLineDash([1, 1]); + break; + case 'dashed': + context.setLineDash([4, 2]); + break; + case 'solid': + case 'double': + context.setLineDash([]); + break; + } + } + var npos = pos; + if (usePaths) { + npos = { + x: 0, + y: 0 + }; + } + var shape = r.getNodeShape(node); + var scaleX = (nodeWidth + borderWidth + (outlineWidth + outlineOffset)) / nodeWidth; + var scaleY = (nodeHeight + borderWidth + (outlineWidth + outlineOffset)) / nodeHeight; + var sWidth = nodeWidth * scaleX; + var sHeight = nodeHeight * scaleY; + var points = r.nodeShapes[shape].points; + var _path; + if (usePaths) { + var outlinePath = getPath(sWidth, sHeight, shape, points); + _path = outlinePath.path; + } + + // draw the outline path, either by using expanded points or by scaling + // the dimensions, depending on shape + if (shape === "ellipse") { + r.drawEllipsePath(_path || context, npos.x, npos.y, sWidth, sHeight); + } else if (['round-diamond', 'round-heptagon', 'round-hexagon', 'round-octagon', 'round-pentagon', 'round-polygon', 'round-triangle', 'round-tag'].includes(shape)) { + var sMult = 0; + var offsetX = 0; + var offsetY = 0; + if (shape === 'round-diamond') { + sMult = (borderWidth + outlineOffset + outlineWidth) * 1.4; + } else if (shape === 'round-heptagon') { + sMult = (borderWidth + outlineOffset + outlineWidth) * 1.075; + offsetY = -(borderWidth / 2 + outlineOffset + outlineWidth) / 35; + } else if (shape === 'round-hexagon') { + sMult = (borderWidth + outlineOffset + outlineWidth) * 1.12; + } else if (shape === 'round-pentagon') { + sMult = (borderWidth + outlineOffset + outlineWidth) * 1.13; + offsetY = -(borderWidth / 2 + outlineOffset + outlineWidth) / 15; + } else if (shape === 'round-tag') { + sMult = (borderWidth + outlineOffset + outlineWidth) * 1.12; + offsetX = (borderWidth / 2 + outlineWidth + outlineOffset) * .07; + } else if (shape === 'round-triangle') { + sMult = (borderWidth + outlineOffset + outlineWidth) * (Math.PI / 2); + offsetY = -(borderWidth + outlineOffset / 2 + outlineWidth) / Math.PI; + } + if (sMult !== 0) { + scaleX = (nodeWidth + sMult) / nodeWidth; + scaleY = (nodeHeight + sMult) / nodeHeight; + } + r.drawRoundPolygonPath(_path || context, npos.x + offsetX, npos.y + offsetY, nodeWidth * scaleX, nodeHeight * scaleY, points); + } else if (['roundrectangle', 'round-rectangle'].includes(shape)) { + r.drawRoundRectanglePath(_path || context, npos.x, npos.y, sWidth, sHeight); + } else if (['cutrectangle', 'cut-rectangle'].includes(shape)) { + r.drawCutRectanglePath(_path || context, npos.x, npos.y, sWidth, sHeight); + } else if (['bottomroundrectangle', 'bottom-round-rectangle'].includes(shape)) { + r.drawBottomRoundRectanglePath(_path || context, npos.x, npos.y, sWidth, sHeight); + } else if (shape === "barrel") { + r.drawBarrelPath(_path || context, npos.x, npos.y, sWidth, sHeight); + } else if (shape.startsWith("polygon") || ['rhomboid', 'right-rhomboid', 'round-tag', 'tag', 'vee'].includes(shape)) { + var pad = (borderWidth + outlineWidth + outlineOffset) / nodeWidth; + points = joinLines(expandPolygon(points, pad)); + r.drawPolygonPath(_path || context, npos.x, npos.y, nodeWidth, nodeHeight, points); + } else { + var _pad = (borderWidth + outlineWidth + outlineOffset) / nodeWidth; + points = joinLines(expandPolygon(points, -_pad)); + r.drawPolygonPath(_path || context, npos.x, npos.y, nodeWidth, nodeHeight, points); + } + if (usePaths) { + context.stroke(_path); + } else { + context.stroke(); + } + if (outlineStyle === 'double') { + context.lineWidth = borderWidth / 3; + var gco = context.globalCompositeOperation; + context.globalCompositeOperation = 'destination-out'; + if (usePaths) { + context.stroke(_path); + } else { + context.stroke(); + } + context.globalCompositeOperation = gco; + } + + // reset in case we changed the border style + if (context.setLineDash) { + // for very outofdate browsers + context.setLineDash([]); + } + } + }; + var drawOverlay = function drawOverlay() { + if (shouldDrawOverlay) { + r.drawNodeOverlay(context, node, pos, nodeWidth, nodeHeight); + } + }; + var drawUnderlay = function drawUnderlay() { + if (shouldDrawOverlay) { + r.drawNodeUnderlay(context, node, pos, nodeWidth, nodeHeight); + } + }; + var drawText = function drawText() { + r.drawElementText(context, node, null, drawLabel); + }; + var ghost = node.pstyle('ghost').value === 'yes'; + if (ghost) { + var gx = node.pstyle('ghost-offset-x').pfValue; + var gy = node.pstyle('ghost-offset-y').pfValue; + var ghostOpacity = node.pstyle('ghost-opacity').value; + var effGhostOpacity = ghostOpacity * eleOpacity; + context.translate(gx, gy); + setupOutlineColor(); + drawOutline(); + setupShapeColor(ghostOpacity * bgOpacity); + drawShape(); + drawImages(effGhostOpacity, true); + setupBorderColor(ghostOpacity * borderOpacity); + drawBorder(); + drawPie(darkness !== 0 || borderWidth !== 0); + drawImages(effGhostOpacity, false); + darken(effGhostOpacity); + context.translate(-gx, -gy); + } + if (usePaths) { + context.translate(-pos.x, -pos.y); + } + drawUnderlay(); + if (usePaths) { + context.translate(pos.x, pos.y); + } + setupOutlineColor(); + drawOutline(); + setupShapeColor(); + drawShape(); + drawImages(eleOpacity, true); + setupBorderColor(); + drawBorder(); + drawPie(darkness !== 0 || borderWidth !== 0); + drawImages(eleOpacity, false); + darken(); + if (usePaths) { + context.translate(-pos.x, -pos.y); + } + drawText(); + drawOverlay(); + + // + // clean up shift + + if (shiftToOriginWithBb) { + context.translate(bb.x1, bb.y1); + } +}; +var drawNodeOverlayUnderlay = function drawNodeOverlayUnderlay(overlayOrUnderlay) { + if (!['overlay', 'underlay'].includes(overlayOrUnderlay)) { + throw new Error('Invalid state'); + } + return function (context, node, pos, nodeWidth, nodeHeight) { + var r = this; + if (!node.visible()) { + return; + } + var padding = node.pstyle("".concat(overlayOrUnderlay, "-padding")).pfValue; + var opacity = node.pstyle("".concat(overlayOrUnderlay, "-opacity")).value; + var color = node.pstyle("".concat(overlayOrUnderlay, "-color")).value; + var shape = node.pstyle("".concat(overlayOrUnderlay, "-shape")).value; + if (opacity > 0) { + pos = pos || node.position(); + if (nodeWidth == null || nodeHeight == null) { + var _padding = node.padding(); + nodeWidth = node.width() + 2 * _padding; + nodeHeight = node.height() + 2 * _padding; + } + r.colorFillStyle(context, color[0], color[1], color[2], opacity); + r.nodeShapes[shape].draw(context, pos.x, pos.y, nodeWidth + padding * 2, nodeHeight + padding * 2); + context.fill(); + } + }; +}; +CRp$5.drawNodeOverlay = drawNodeOverlayUnderlay('overlay'); +CRp$5.drawNodeUnderlay = drawNodeOverlayUnderlay('underlay'); + +// does the node have at least one pie piece? +CRp$5.hasPie = function (node) { + node = node[0]; // ensure ele ref + + return node._private.hasPie; +}; +CRp$5.drawPie = function (context, node, nodeOpacity, pos) { + node = node[0]; // ensure ele ref + pos = pos || node.position(); + var cyStyle = node.cy().style(); + var pieSize = node.pstyle('pie-size'); + var x = pos.x; + var y = pos.y; + var nodeW = node.width(); + var nodeH = node.height(); + var radius = Math.min(nodeW, nodeH) / 2; // must fit in node + var lastPercent = 0; // what % to continue drawing pie slices from on [0, 1] + var usePaths = this.usePaths(); + if (usePaths) { + x = 0; + y = 0; + } + if (pieSize.units === '%') { + radius = radius * pieSize.pfValue; + } else if (pieSize.pfValue !== undefined) { + radius = pieSize.pfValue / 2; + } + for (var i = 1; i <= cyStyle.pieBackgroundN; i++) { + // 1..N + var size = node.pstyle('pie-' + i + '-background-size').value; + var color = node.pstyle('pie-' + i + '-background-color').value; + var opacity = node.pstyle('pie-' + i + '-background-opacity').value * nodeOpacity; + var percent = size / 100; // map integer range [0, 100] to [0, 1] + + // percent can't push beyond 1 + if (percent + lastPercent > 1) { + percent = 1 - lastPercent; + } + var angleStart = 1.5 * Math.PI + 2 * Math.PI * lastPercent; // start at 12 o'clock and go clockwise + var angleDelta = 2 * Math.PI * percent; + var angleEnd = angleStart + angleDelta; + + // ignore if + // - zero size + // - we're already beyond the full circle + // - adding the current slice would go beyond the full circle + if (size === 0 || lastPercent >= 1 || lastPercent + percent > 1) { + continue; + } + context.beginPath(); + context.moveTo(x, y); + context.arc(x, y, radius, angleStart, angleEnd); + context.closePath(); + this.colorFillStyle(context, color[0], color[1], color[2], opacity); + context.fill(); + lastPercent += percent; + } +}; + +var CRp$4 = {}; +var motionBlurDelay = 100; + +// var isFirefox = typeof InstallTrigger !== 'undefined'; + +CRp$4.getPixelRatio = function () { + var context = this.data.contexts[0]; + if (this.forcedPixelRatio != null) { + return this.forcedPixelRatio; + } + var backingStore = context.backingStorePixelRatio || context.webkitBackingStorePixelRatio || context.mozBackingStorePixelRatio || context.msBackingStorePixelRatio || context.oBackingStorePixelRatio || context.backingStorePixelRatio || 1; + return (window.devicePixelRatio || 1) / backingStore; // eslint-disable-line no-undef +}; + +CRp$4.paintCache = function (context) { + var caches = this.paintCaches = this.paintCaches || []; + var needToCreateCache = true; + var cache; + for (var i = 0; i < caches.length; i++) { + cache = caches[i]; + if (cache.context === context) { + needToCreateCache = false; + break; + } + } + if (needToCreateCache) { + cache = { + context: context + }; + caches.push(cache); + } + return cache; +}; +CRp$4.createGradientStyleFor = function (context, shapeStyleName, ele, fill, opacity) { + var gradientStyle; + var usePaths = this.usePaths(); + var colors = ele.pstyle(shapeStyleName + '-gradient-stop-colors').value, + positions = ele.pstyle(shapeStyleName + '-gradient-stop-positions').pfValue; + if (fill === 'radial-gradient') { + if (ele.isEdge()) { + var start = ele.sourceEndpoint(), + end = ele.targetEndpoint(), + mid = ele.midpoint(); + var d1 = dist(start, mid); + var d2 = dist(end, mid); + gradientStyle = context.createRadialGradient(mid.x, mid.y, 0, mid.x, mid.y, Math.max(d1, d2)); + } else { + var pos = usePaths ? { + x: 0, + y: 0 + } : ele.position(), + width = ele.paddedWidth(), + height = ele.paddedHeight(); + gradientStyle = context.createRadialGradient(pos.x, pos.y, 0, pos.x, pos.y, Math.max(width, height)); + } + } else { + if (ele.isEdge()) { + var _start = ele.sourceEndpoint(), + _end = ele.targetEndpoint(); + gradientStyle = context.createLinearGradient(_start.x, _start.y, _end.x, _end.y); + } else { + var _pos = usePaths ? { + x: 0, + y: 0 + } : ele.position(), + _width = ele.paddedWidth(), + _height = ele.paddedHeight(), + halfWidth = _width / 2, + halfHeight = _height / 2; + var direction = ele.pstyle('background-gradient-direction').value; + switch (direction) { + case 'to-bottom': + gradientStyle = context.createLinearGradient(_pos.x, _pos.y - halfHeight, _pos.x, _pos.y + halfHeight); + break; + case 'to-top': + gradientStyle = context.createLinearGradient(_pos.x, _pos.y + halfHeight, _pos.x, _pos.y - halfHeight); + break; + case 'to-left': + gradientStyle = context.createLinearGradient(_pos.x + halfWidth, _pos.y, _pos.x - halfWidth, _pos.y); + break; + case 'to-right': + gradientStyle = context.createLinearGradient(_pos.x - halfWidth, _pos.y, _pos.x + halfWidth, _pos.y); + break; + case 'to-bottom-right': + case 'to-right-bottom': + gradientStyle = context.createLinearGradient(_pos.x - halfWidth, _pos.y - halfHeight, _pos.x + halfWidth, _pos.y + halfHeight); + break; + case 'to-top-right': + case 'to-right-top': + gradientStyle = context.createLinearGradient(_pos.x - halfWidth, _pos.y + halfHeight, _pos.x + halfWidth, _pos.y - halfHeight); + break; + case 'to-bottom-left': + case 'to-left-bottom': + gradientStyle = context.createLinearGradient(_pos.x + halfWidth, _pos.y - halfHeight, _pos.x - halfWidth, _pos.y + halfHeight); + break; + case 'to-top-left': + case 'to-left-top': + gradientStyle = context.createLinearGradient(_pos.x + halfWidth, _pos.y + halfHeight, _pos.x - halfWidth, _pos.y - halfHeight); + break; + } + } + } + if (!gradientStyle) return null; // invalid gradient style + + var hasPositions = positions.length === colors.length; + var length = colors.length; + for (var i = 0; i < length; i++) { + gradientStyle.addColorStop(hasPositions ? positions[i] : i / (length - 1), 'rgba(' + colors[i][0] + ',' + colors[i][1] + ',' + colors[i][2] + ',' + opacity + ')'); + } + return gradientStyle; +}; +CRp$4.gradientFillStyle = function (context, ele, fill, opacity) { + var gradientStyle = this.createGradientStyleFor(context, 'background', ele, fill, opacity); + if (!gradientStyle) return null; // error + context.fillStyle = gradientStyle; +}; +CRp$4.colorFillStyle = function (context, r, g, b, a) { + context.fillStyle = 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')'; + // turn off for now, seems context does its own caching + + // var cache = this.paintCache(context); + + // var fillStyle = 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')'; + + // if( cache.fillStyle !== fillStyle ){ + // context.fillStyle = cache.fillStyle = fillStyle; + // } +}; + +CRp$4.eleFillStyle = function (context, ele, opacity) { + var backgroundFill = ele.pstyle('background-fill').value; + if (backgroundFill === 'linear-gradient' || backgroundFill === 'radial-gradient') { + this.gradientFillStyle(context, ele, backgroundFill, opacity); + } else { + var backgroundColor = ele.pstyle('background-color').value; + this.colorFillStyle(context, backgroundColor[0], backgroundColor[1], backgroundColor[2], opacity); + } +}; +CRp$4.gradientStrokeStyle = function (context, ele, fill, opacity) { + var gradientStyle = this.createGradientStyleFor(context, 'line', ele, fill, opacity); + if (!gradientStyle) return null; // error + context.strokeStyle = gradientStyle; +}; +CRp$4.colorStrokeStyle = function (context, r, g, b, a) { + context.strokeStyle = 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')'; + // turn off for now, seems context does its own caching + + // var cache = this.paintCache(context); + + // var strokeStyle = 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')'; + + // if( cache.strokeStyle !== strokeStyle ){ + // context.strokeStyle = cache.strokeStyle = strokeStyle; + // } +}; + +CRp$4.eleStrokeStyle = function (context, ele, opacity) { + var lineFill = ele.pstyle('line-fill').value; + if (lineFill === 'linear-gradient' || lineFill === 'radial-gradient') { + this.gradientStrokeStyle(context, ele, lineFill, opacity); + } else { + var lineColor = ele.pstyle('line-color').value; + this.colorStrokeStyle(context, lineColor[0], lineColor[1], lineColor[2], opacity); + } +}; + +// Resize canvas +CRp$4.matchCanvasSize = function (container) { + var r = this; + var data = r.data; + var bb = r.findContainerClientCoords(); + var width = bb[2]; + var height = bb[3]; + var pixelRatio = r.getPixelRatio(); + var mbPxRatio = r.motionBlurPxRatio; + if (container === r.data.bufferCanvases[r.MOTIONBLUR_BUFFER_NODE] || container === r.data.bufferCanvases[r.MOTIONBLUR_BUFFER_DRAG]) { + pixelRatio = mbPxRatio; + } + var canvasWidth = width * pixelRatio; + var canvasHeight = height * pixelRatio; + var canvas; + if (canvasWidth === r.canvasWidth && canvasHeight === r.canvasHeight) { + return; // save cycles if same + } + + r.fontCaches = null; // resizing resets the style + + var canvasContainer = data.canvasContainer; + canvasContainer.style.width = width + 'px'; + canvasContainer.style.height = height + 'px'; + for (var i = 0; i < r.CANVAS_LAYERS; i++) { + canvas = data.canvases[i]; + canvas.width = canvasWidth; + canvas.height = canvasHeight; + canvas.style.width = width + 'px'; + canvas.style.height = height + 'px'; + } + for (var i = 0; i < r.BUFFER_COUNT; i++) { + canvas = data.bufferCanvases[i]; + canvas.width = canvasWidth; + canvas.height = canvasHeight; + canvas.style.width = width + 'px'; + canvas.style.height = height + 'px'; + } + r.textureMult = 1; + if (pixelRatio <= 1) { + canvas = data.bufferCanvases[r.TEXTURE_BUFFER]; + r.textureMult = 2; + canvas.width = canvasWidth * r.textureMult; + canvas.height = canvasHeight * r.textureMult; + } + r.canvasWidth = canvasWidth; + r.canvasHeight = canvasHeight; +}; +CRp$4.renderTo = function (cxt, zoom, pan, pxRatio) { + this.render({ + forcedContext: cxt, + forcedZoom: zoom, + forcedPan: pan, + drawAllLayers: true, + forcedPxRatio: pxRatio + }); +}; +CRp$4.render = function (options) { + options = options || staticEmptyObject(); + var forcedContext = options.forcedContext; + var drawAllLayers = options.drawAllLayers; + var drawOnlyNodeLayer = options.drawOnlyNodeLayer; + var forcedZoom = options.forcedZoom; + var forcedPan = options.forcedPan; + var r = this; + var pixelRatio = options.forcedPxRatio === undefined ? this.getPixelRatio() : options.forcedPxRatio; + var cy = r.cy; + var data = r.data; + var needDraw = data.canvasNeedsRedraw; + var textureDraw = r.textureOnViewport && !forcedContext && (r.pinching || r.hoverData.dragging || r.swipePanning || r.data.wheelZooming); + var motionBlur = options.motionBlur !== undefined ? options.motionBlur : r.motionBlur; + var mbPxRatio = r.motionBlurPxRatio; + var hasCompoundNodes = cy.hasCompoundNodes(); + var inNodeDragGesture = r.hoverData.draggingEles; + var inBoxSelection = r.hoverData.selecting || r.touchData.selecting ? true : false; + motionBlur = motionBlur && !forcedContext && r.motionBlurEnabled && !inBoxSelection; + var motionBlurFadeEffect = motionBlur; + if (!forcedContext) { + if (r.prevPxRatio !== pixelRatio) { + r.invalidateContainerClientCoordsCache(); + r.matchCanvasSize(r.container); + r.redrawHint('eles', true); + r.redrawHint('drag', true); + } + r.prevPxRatio = pixelRatio; + } + if (!forcedContext && r.motionBlurTimeout) { + clearTimeout(r.motionBlurTimeout); + } + if (motionBlur) { + if (r.mbFrames == null) { + r.mbFrames = 0; + } + r.mbFrames++; + if (r.mbFrames < 3) { + // need several frames before even high quality motionblur + motionBlurFadeEffect = false; + } + + // go to lower quality blurry frames when several m/b frames have been rendered (avoids flashing) + if (r.mbFrames > r.minMbLowQualFrames) { + //r.fullQualityMb = false; + r.motionBlurPxRatio = r.mbPxRBlurry; + } + } + if (r.clearingMotionBlur) { + r.motionBlurPxRatio = 1; + } + + // b/c drawToContext() may be async w.r.t. redraw(), keep track of last texture frame + // because a rogue async texture frame would clear needDraw + if (r.textureDrawLastFrame && !textureDraw) { + needDraw[r.NODE] = true; + needDraw[r.SELECT_BOX] = true; + } + var style = cy.style(); + var zoom = cy.zoom(); + var effectiveZoom = forcedZoom !== undefined ? forcedZoom : zoom; + var pan = cy.pan(); + var effectivePan = { + x: pan.x, + y: pan.y + }; + var vp = { + zoom: zoom, + pan: { + x: pan.x, + y: pan.y + } + }; + var prevVp = r.prevViewport; + var viewportIsDiff = prevVp === undefined || vp.zoom !== prevVp.zoom || vp.pan.x !== prevVp.pan.x || vp.pan.y !== prevVp.pan.y; + + // we want the low quality motionblur only when the viewport is being manipulated etc (where it's not noticed) + if (!viewportIsDiff && !(inNodeDragGesture && !hasCompoundNodes)) { + r.motionBlurPxRatio = 1; + } + if (forcedPan) { + effectivePan = forcedPan; + } + + // apply pixel ratio + + effectiveZoom *= pixelRatio; + effectivePan.x *= pixelRatio; + effectivePan.y *= pixelRatio; + var eles = r.getCachedZSortedEles(); + function mbclear(context, x, y, w, h) { + var gco = context.globalCompositeOperation; + context.globalCompositeOperation = 'destination-out'; + r.colorFillStyle(context, 255, 255, 255, r.motionBlurTransparency); + context.fillRect(x, y, w, h); + context.globalCompositeOperation = gco; + } + function setContextTransform(context, clear) { + var ePan, eZoom, w, h; + if (!r.clearingMotionBlur && (context === data.bufferContexts[r.MOTIONBLUR_BUFFER_NODE] || context === data.bufferContexts[r.MOTIONBLUR_BUFFER_DRAG])) { + ePan = { + x: pan.x * mbPxRatio, + y: pan.y * mbPxRatio + }; + eZoom = zoom * mbPxRatio; + w = r.canvasWidth * mbPxRatio; + h = r.canvasHeight * mbPxRatio; + } else { + ePan = effectivePan; + eZoom = effectiveZoom; + w = r.canvasWidth; + h = r.canvasHeight; + } + context.setTransform(1, 0, 0, 1, 0, 0); + if (clear === 'motionBlur') { + mbclear(context, 0, 0, w, h); + } else if (!forcedContext && (clear === undefined || clear)) { + context.clearRect(0, 0, w, h); + } + if (!drawAllLayers) { + context.translate(ePan.x, ePan.y); + context.scale(eZoom, eZoom); + } + if (forcedPan) { + context.translate(forcedPan.x, forcedPan.y); + } + if (forcedZoom) { + context.scale(forcedZoom, forcedZoom); + } + } + if (!textureDraw) { + r.textureDrawLastFrame = false; + } + if (textureDraw) { + r.textureDrawLastFrame = true; + if (!r.textureCache) { + r.textureCache = {}; + r.textureCache.bb = cy.mutableElements().boundingBox(); + r.textureCache.texture = r.data.bufferCanvases[r.TEXTURE_BUFFER]; + var cxt = r.data.bufferContexts[r.TEXTURE_BUFFER]; + cxt.setTransform(1, 0, 0, 1, 0, 0); + cxt.clearRect(0, 0, r.canvasWidth * r.textureMult, r.canvasHeight * r.textureMult); + r.render({ + forcedContext: cxt, + drawOnlyNodeLayer: true, + forcedPxRatio: pixelRatio * r.textureMult + }); + var vp = r.textureCache.viewport = { + zoom: cy.zoom(), + pan: cy.pan(), + width: r.canvasWidth, + height: r.canvasHeight + }; + vp.mpan = { + x: (0 - vp.pan.x) / vp.zoom, + y: (0 - vp.pan.y) / vp.zoom + }; + } + needDraw[r.DRAG] = false; + needDraw[r.NODE] = false; + var context = data.contexts[r.NODE]; + var texture = r.textureCache.texture; + var vp = r.textureCache.viewport; + context.setTransform(1, 0, 0, 1, 0, 0); + if (motionBlur) { + mbclear(context, 0, 0, vp.width, vp.height); + } else { + context.clearRect(0, 0, vp.width, vp.height); + } + var outsideBgColor = style.core('outside-texture-bg-color').value; + var outsideBgOpacity = style.core('outside-texture-bg-opacity').value; + r.colorFillStyle(context, outsideBgColor[0], outsideBgColor[1], outsideBgColor[2], outsideBgOpacity); + context.fillRect(0, 0, vp.width, vp.height); + var zoom = cy.zoom(); + setContextTransform(context, false); + context.clearRect(vp.mpan.x, vp.mpan.y, vp.width / vp.zoom / pixelRatio, vp.height / vp.zoom / pixelRatio); + context.drawImage(texture, vp.mpan.x, vp.mpan.y, vp.width / vp.zoom / pixelRatio, vp.height / vp.zoom / pixelRatio); + } else if (r.textureOnViewport && !forcedContext) { + // clear the cache since we don't need it + r.textureCache = null; + } + var extent = cy.extent(); + var vpManip = r.pinching || r.hoverData.dragging || r.swipePanning || r.data.wheelZooming || r.hoverData.draggingEles || r.cy.animated(); + var hideEdges = r.hideEdgesOnViewport && vpManip; + var needMbClear = []; + needMbClear[r.NODE] = !needDraw[r.NODE] && motionBlur && !r.clearedForMotionBlur[r.NODE] || r.clearingMotionBlur; + if (needMbClear[r.NODE]) { + r.clearedForMotionBlur[r.NODE] = true; + } + needMbClear[r.DRAG] = !needDraw[r.DRAG] && motionBlur && !r.clearedForMotionBlur[r.DRAG] || r.clearingMotionBlur; + if (needMbClear[r.DRAG]) { + r.clearedForMotionBlur[r.DRAG] = true; + } + if (needDraw[r.NODE] || drawAllLayers || drawOnlyNodeLayer || needMbClear[r.NODE]) { + var useBuffer = motionBlur && !needMbClear[r.NODE] && mbPxRatio !== 1; + var context = forcedContext || (useBuffer ? r.data.bufferContexts[r.MOTIONBLUR_BUFFER_NODE] : data.contexts[r.NODE]); + var clear = motionBlur && !useBuffer ? 'motionBlur' : undefined; + setContextTransform(context, clear); + if (hideEdges) { + r.drawCachedNodes(context, eles.nondrag, pixelRatio, extent); + } else { + r.drawLayeredElements(context, eles.nondrag, pixelRatio, extent); + } + if (r.debug) { + r.drawDebugPoints(context, eles.nondrag); + } + if (!drawAllLayers && !motionBlur) { + needDraw[r.NODE] = false; + } + } + if (!drawOnlyNodeLayer && (needDraw[r.DRAG] || drawAllLayers || needMbClear[r.DRAG])) { + var useBuffer = motionBlur && !needMbClear[r.DRAG] && mbPxRatio !== 1; + var context = forcedContext || (useBuffer ? r.data.bufferContexts[r.MOTIONBLUR_BUFFER_DRAG] : data.contexts[r.DRAG]); + setContextTransform(context, motionBlur && !useBuffer ? 'motionBlur' : undefined); + if (hideEdges) { + r.drawCachedNodes(context, eles.drag, pixelRatio, extent); + } else { + r.drawCachedElements(context, eles.drag, pixelRatio, extent); + } + if (r.debug) { + r.drawDebugPoints(context, eles.drag); + } + if (!drawAllLayers && !motionBlur) { + needDraw[r.DRAG] = false; + } + } + if (r.showFps || !drawOnlyNodeLayer && needDraw[r.SELECT_BOX] && !drawAllLayers) { + var context = forcedContext || data.contexts[r.SELECT_BOX]; + setContextTransform(context); + if (r.selection[4] == 1 && (r.hoverData.selecting || r.touchData.selecting)) { + var zoom = r.cy.zoom(); + var borderWidth = style.core('selection-box-border-width').value / zoom; + context.lineWidth = borderWidth; + context.fillStyle = 'rgba(' + style.core('selection-box-color').value[0] + ',' + style.core('selection-box-color').value[1] + ',' + style.core('selection-box-color').value[2] + ',' + style.core('selection-box-opacity').value + ')'; + context.fillRect(r.selection[0], r.selection[1], r.selection[2] - r.selection[0], r.selection[3] - r.selection[1]); + if (borderWidth > 0) { + context.strokeStyle = 'rgba(' + style.core('selection-box-border-color').value[0] + ',' + style.core('selection-box-border-color').value[1] + ',' + style.core('selection-box-border-color').value[2] + ',' + style.core('selection-box-opacity').value + ')'; + context.strokeRect(r.selection[0], r.selection[1], r.selection[2] - r.selection[0], r.selection[3] - r.selection[1]); + } + } + if (data.bgActivePosistion && !r.hoverData.selecting) { + var zoom = r.cy.zoom(); + var pos = data.bgActivePosistion; + context.fillStyle = 'rgba(' + style.core('active-bg-color').value[0] + ',' + style.core('active-bg-color').value[1] + ',' + style.core('active-bg-color').value[2] + ',' + style.core('active-bg-opacity').value + ')'; + context.beginPath(); + context.arc(pos.x, pos.y, style.core('active-bg-size').pfValue / zoom, 0, 2 * Math.PI); + context.fill(); + } + var timeToRender = r.lastRedrawTime; + if (r.showFps && timeToRender) { + timeToRender = Math.round(timeToRender); + var fps = Math.round(1000 / timeToRender); + context.setTransform(1, 0, 0, 1, 0, 0); + context.fillStyle = 'rgba(255, 0, 0, 0.75)'; + context.strokeStyle = 'rgba(255, 0, 0, 0.75)'; + context.lineWidth = 1; + context.fillText('1 frame = ' + timeToRender + ' ms = ' + fps + ' fps', 0, 20); + var maxFps = 60; + context.strokeRect(0, 30, 250, 20); + context.fillRect(0, 30, 250 * Math.min(fps / maxFps, 1), 20); + } + if (!drawAllLayers) { + needDraw[r.SELECT_BOX] = false; + } + } + + // motionblur: blit rendered blurry frames + if (motionBlur && mbPxRatio !== 1) { + var cxtNode = data.contexts[r.NODE]; + var txtNode = r.data.bufferCanvases[r.MOTIONBLUR_BUFFER_NODE]; + var cxtDrag = data.contexts[r.DRAG]; + var txtDrag = r.data.bufferCanvases[r.MOTIONBLUR_BUFFER_DRAG]; + var drawMotionBlur = function drawMotionBlur(cxt, txt, needClear) { + cxt.setTransform(1, 0, 0, 1, 0, 0); + if (needClear || !motionBlurFadeEffect) { + cxt.clearRect(0, 0, r.canvasWidth, r.canvasHeight); + } else { + mbclear(cxt, 0, 0, r.canvasWidth, r.canvasHeight); + } + var pxr = mbPxRatio; + cxt.drawImage(txt, + // img + 0, 0, + // sx, sy + r.canvasWidth * pxr, r.canvasHeight * pxr, + // sw, sh + 0, 0, + // x, y + r.canvasWidth, r.canvasHeight // w, h + ); + }; + + if (needDraw[r.NODE] || needMbClear[r.NODE]) { + drawMotionBlur(cxtNode, txtNode, needMbClear[r.NODE]); + needDraw[r.NODE] = false; + } + if (needDraw[r.DRAG] || needMbClear[r.DRAG]) { + drawMotionBlur(cxtDrag, txtDrag, needMbClear[r.DRAG]); + needDraw[r.DRAG] = false; + } + } + r.prevViewport = vp; + if (r.clearingMotionBlur) { + r.clearingMotionBlur = false; + r.motionBlurCleared = true; + r.motionBlur = true; + } + if (motionBlur) { + r.motionBlurTimeout = setTimeout(function () { + r.motionBlurTimeout = null; + r.clearedForMotionBlur[r.NODE] = false; + r.clearedForMotionBlur[r.DRAG] = false; + r.motionBlur = false; + r.clearingMotionBlur = !textureDraw; + r.mbFrames = 0; + needDraw[r.NODE] = true; + needDraw[r.DRAG] = true; + r.redraw(); + }, motionBlurDelay); + } + if (!forcedContext) { + cy.emit('render'); + } +}; + +var CRp$3 = {}; + +// @O Polygon drawing +CRp$3.drawPolygonPath = function (context, x, y, width, height, points) { + var halfW = width / 2; + var halfH = height / 2; + if (context.beginPath) { + context.beginPath(); + } + context.moveTo(x + halfW * points[0], y + halfH * points[1]); + for (var i = 1; i < points.length / 2; i++) { + context.lineTo(x + halfW * points[i * 2], y + halfH * points[i * 2 + 1]); + } + context.closePath(); +}; +CRp$3.drawRoundPolygonPath = function (context, x, y, width, height, points) { + var halfW = width / 2; + var halfH = height / 2; + var cornerRadius = getRoundPolygonRadius(width, height); + if (context.beginPath) { + context.beginPath(); + } + for (var _i = 0; _i < points.length / 4; _i++) { + var sourceUv = void 0, + destUv = void 0; + if (_i === 0) { + sourceUv = points.length - 2; + } else { + sourceUv = _i * 4 - 2; + } + destUv = _i * 4 + 2; + var px = x + halfW * points[_i * 4]; + var py = y + halfH * points[_i * 4 + 1]; + var cosTheta = -points[sourceUv] * points[destUv] - points[sourceUv + 1] * points[destUv + 1]; + var offset = cornerRadius / Math.tan(Math.acos(cosTheta) / 2); + var cp0x = px - offset * points[sourceUv]; + var cp0y = py - offset * points[sourceUv + 1]; + var cp1x = px + offset * points[destUv]; + var cp1y = py + offset * points[destUv + 1]; + if (_i === 0) { + context.moveTo(cp0x, cp0y); + } else { + context.lineTo(cp0x, cp0y); + } + context.arcTo(px, py, cp1x, cp1y, cornerRadius); + } + context.closePath(); +}; + +// Round rectangle drawing +CRp$3.drawRoundRectanglePath = function (context, x, y, width, height) { + var halfWidth = width / 2; + var halfHeight = height / 2; + var cornerRadius = getRoundRectangleRadius(width, height); + if (context.beginPath) { + context.beginPath(); + } + + // Start at top middle + context.moveTo(x, y - halfHeight); + // Arc from middle top to right side + context.arcTo(x + halfWidth, y - halfHeight, x + halfWidth, y, cornerRadius); + // Arc from right side to bottom + context.arcTo(x + halfWidth, y + halfHeight, x, y + halfHeight, cornerRadius); + // Arc from bottom to left side + context.arcTo(x - halfWidth, y + halfHeight, x - halfWidth, y, cornerRadius); + // Arc from left side to topBorder + context.arcTo(x - halfWidth, y - halfHeight, x, y - halfHeight, cornerRadius); + // Join line + context.lineTo(x, y - halfHeight); + context.closePath(); +}; +CRp$3.drawBottomRoundRectanglePath = function (context, x, y, width, height) { + var halfWidth = width / 2; + var halfHeight = height / 2; + var cornerRadius = getRoundRectangleRadius(width, height); + if (context.beginPath) { + context.beginPath(); + } + + // Start at top middle + context.moveTo(x, y - halfHeight); + context.lineTo(x + halfWidth, y - halfHeight); + context.lineTo(x + halfWidth, y); + context.arcTo(x + halfWidth, y + halfHeight, x, y + halfHeight, cornerRadius); + context.arcTo(x - halfWidth, y + halfHeight, x - halfWidth, y, cornerRadius); + context.lineTo(x - halfWidth, y - halfHeight); + context.lineTo(x, y - halfHeight); + context.closePath(); +}; +CRp$3.drawCutRectanglePath = function (context, x, y, width, height) { + var halfWidth = width / 2; + var halfHeight = height / 2; + var cornerLength = getCutRectangleCornerLength(); + if (context.beginPath) { + context.beginPath(); + } + context.moveTo(x - halfWidth + cornerLength, y - halfHeight); + context.lineTo(x + halfWidth - cornerLength, y - halfHeight); + context.lineTo(x + halfWidth, y - halfHeight + cornerLength); + context.lineTo(x + halfWidth, y + halfHeight - cornerLength); + context.lineTo(x + halfWidth - cornerLength, y + halfHeight); + context.lineTo(x - halfWidth + cornerLength, y + halfHeight); + context.lineTo(x - halfWidth, y + halfHeight - cornerLength); + context.lineTo(x - halfWidth, y - halfHeight + cornerLength); + context.closePath(); +}; +CRp$3.drawBarrelPath = function (context, x, y, width, height) { + var halfWidth = width / 2; + var halfHeight = height / 2; + var xBegin = x - halfWidth; + var xEnd = x + halfWidth; + var yBegin = y - halfHeight; + var yEnd = y + halfHeight; + var barrelCurveConstants = getBarrelCurveConstants(width, height); + var wOffset = barrelCurveConstants.widthOffset; + var hOffset = barrelCurveConstants.heightOffset; + var ctrlPtXOffset = barrelCurveConstants.ctrlPtOffsetPct * wOffset; + if (context.beginPath) { + context.beginPath(); + } + context.moveTo(xBegin, yBegin + hOffset); + context.lineTo(xBegin, yEnd - hOffset); + context.quadraticCurveTo(xBegin + ctrlPtXOffset, yEnd, xBegin + wOffset, yEnd); + context.lineTo(xEnd - wOffset, yEnd); + context.quadraticCurveTo(xEnd - ctrlPtXOffset, yEnd, xEnd, yEnd - hOffset); + context.lineTo(xEnd, yBegin + hOffset); + context.quadraticCurveTo(xEnd - ctrlPtXOffset, yBegin, xEnd - wOffset, yBegin); + context.lineTo(xBegin + wOffset, yBegin); + context.quadraticCurveTo(xBegin + ctrlPtXOffset, yBegin, xBegin, yBegin + hOffset); + context.closePath(); +}; +var sin0 = Math.sin(0); +var cos0 = Math.cos(0); +var sin = {}; +var cos = {}; +var ellipseStepSize = Math.PI / 40; +for (var i = 0 * Math.PI; i < 2 * Math.PI; i += ellipseStepSize) { + sin[i] = Math.sin(i); + cos[i] = Math.cos(i); +} +CRp$3.drawEllipsePath = function (context, centerX, centerY, width, height) { + if (context.beginPath) { + context.beginPath(); + } + if (context.ellipse) { + context.ellipse(centerX, centerY, width / 2, height / 2, 0, 0, 2 * Math.PI); + } else { + var xPos, yPos; + var rw = width / 2; + var rh = height / 2; + for (var i = 0 * Math.PI; i < 2 * Math.PI; i += ellipseStepSize) { + xPos = centerX - rw * sin[i] * sin0 + rw * cos[i] * cos0; + yPos = centerY + rh * cos[i] * sin0 + rh * sin[i] * cos0; + if (i === 0) { + context.moveTo(xPos, yPos); + } else { + context.lineTo(xPos, yPos); + } + } + } + context.closePath(); +}; + +/* global atob, ArrayBuffer, Uint8Array, Blob */ +var CRp$2 = {}; +CRp$2.createBuffer = function (w, h) { + var buffer = document.createElement('canvas'); // eslint-disable-line no-undef + buffer.width = w; + buffer.height = h; + return [buffer, buffer.getContext('2d')]; +}; +CRp$2.bufferCanvasImage = function (options) { + var cy = this.cy; + var eles = cy.mutableElements(); + var bb = eles.boundingBox(); + var ctrRect = this.findContainerClientCoords(); + var width = options.full ? Math.ceil(bb.w) : ctrRect[2]; + var height = options.full ? Math.ceil(bb.h) : ctrRect[3]; + var specdMaxDims = number$1(options.maxWidth) || number$1(options.maxHeight); + var pxRatio = this.getPixelRatio(); + var scale = 1; + if (options.scale !== undefined) { + width *= options.scale; + height *= options.scale; + scale = options.scale; + } else if (specdMaxDims) { + var maxScaleW = Infinity; + var maxScaleH = Infinity; + if (number$1(options.maxWidth)) { + maxScaleW = scale * options.maxWidth / width; + } + if (number$1(options.maxHeight)) { + maxScaleH = scale * options.maxHeight / height; + } + scale = Math.min(maxScaleW, maxScaleH); + width *= scale; + height *= scale; + } + if (!specdMaxDims) { + width *= pxRatio; + height *= pxRatio; + scale *= pxRatio; + } + var buffCanvas = document.createElement('canvas'); // eslint-disable-line no-undef + + buffCanvas.width = width; + buffCanvas.height = height; + buffCanvas.style.width = width + 'px'; + buffCanvas.style.height = height + 'px'; + var buffCxt = buffCanvas.getContext('2d'); + + // Rasterize the layers, but only if container has nonzero size + if (width > 0 && height > 0) { + buffCxt.clearRect(0, 0, width, height); + buffCxt.globalCompositeOperation = 'source-over'; + var zsortedEles = this.getCachedZSortedEles(); + if (options.full) { + // draw the full bounds of the graph + buffCxt.translate(-bb.x1 * scale, -bb.y1 * scale); + buffCxt.scale(scale, scale); + this.drawElements(buffCxt, zsortedEles); + buffCxt.scale(1 / scale, 1 / scale); + buffCxt.translate(bb.x1 * scale, bb.y1 * scale); + } else { + // draw the current view + var pan = cy.pan(); + var translation = { + x: pan.x * scale, + y: pan.y * scale + }; + scale *= cy.zoom(); + buffCxt.translate(translation.x, translation.y); + buffCxt.scale(scale, scale); + this.drawElements(buffCxt, zsortedEles); + buffCxt.scale(1 / scale, 1 / scale); + buffCxt.translate(-translation.x, -translation.y); + } + + // need to fill bg at end like this in order to fill cleared transparent pixels in jpgs + if (options.bg) { + buffCxt.globalCompositeOperation = 'destination-over'; + buffCxt.fillStyle = options.bg; + buffCxt.rect(0, 0, width, height); + buffCxt.fill(); + } + } + return buffCanvas; +}; +function b64ToBlob(b64, mimeType) { + var bytes = atob(b64); + var buff = new ArrayBuffer(bytes.length); + var buffUint8 = new Uint8Array(buff); + for (var i = 0; i < bytes.length; i++) { + buffUint8[i] = bytes.charCodeAt(i); + } + return new Blob([buff], { + type: mimeType + }); +} +function b64UriToB64(b64uri) { + var i = b64uri.indexOf(','); + return b64uri.substr(i + 1); +} +function output(options, canvas, mimeType) { + var getB64Uri = function getB64Uri() { + return canvas.toDataURL(mimeType, options.quality); + }; + switch (options.output) { + case 'blob-promise': + return new Promise$1(function (resolve, reject) { + try { + canvas.toBlob(function (blob) { + if (blob != null) { + resolve(blob); + } else { + reject(new Error('`canvas.toBlob()` sent a null value in its callback')); + } + }, mimeType, options.quality); + } catch (err) { + reject(err); + } + }); + case 'blob': + return b64ToBlob(b64UriToB64(getB64Uri()), mimeType); + case 'base64': + return b64UriToB64(getB64Uri()); + case 'base64uri': + default: + return getB64Uri(); + } +} +CRp$2.png = function (options) { + return output(options, this.bufferCanvasImage(options), 'image/png'); +}; +CRp$2.jpg = function (options) { + return output(options, this.bufferCanvasImage(options), 'image/jpeg'); +}; + +var CRp$1 = {}; +CRp$1.nodeShapeImpl = function (name, context, centerX, centerY, width, height, points) { + switch (name) { + case 'ellipse': + return this.drawEllipsePath(context, centerX, centerY, width, height); + case 'polygon': + return this.drawPolygonPath(context, centerX, centerY, width, height, points); + case 'round-polygon': + return this.drawRoundPolygonPath(context, centerX, centerY, width, height, points); + case 'roundrectangle': + case 'round-rectangle': + return this.drawRoundRectanglePath(context, centerX, centerY, width, height); + case 'cutrectangle': + case 'cut-rectangle': + return this.drawCutRectanglePath(context, centerX, centerY, width, height); + case 'bottomroundrectangle': + case 'bottom-round-rectangle': + return this.drawBottomRoundRectanglePath(context, centerX, centerY, width, height); + case 'barrel': + return this.drawBarrelPath(context, centerX, centerY, width, height); + } +}; + +var CR = CanvasRenderer; +var CRp = CanvasRenderer.prototype; +CRp.CANVAS_LAYERS = 3; +// +CRp.SELECT_BOX = 0; +CRp.DRAG = 1; +CRp.NODE = 2; +CRp.BUFFER_COUNT = 3; +// +CRp.TEXTURE_BUFFER = 0; +CRp.MOTIONBLUR_BUFFER_NODE = 1; +CRp.MOTIONBLUR_BUFFER_DRAG = 2; +function CanvasRenderer(options) { + var r = this; + r.data = { + canvases: new Array(CRp.CANVAS_LAYERS), + contexts: new Array(CRp.CANVAS_LAYERS), + canvasNeedsRedraw: new Array(CRp.CANVAS_LAYERS), + bufferCanvases: new Array(CRp.BUFFER_COUNT), + bufferContexts: new Array(CRp.CANVAS_LAYERS) + }; + var tapHlOffAttr = '-webkit-tap-highlight-color'; + var tapHlOffStyle = 'rgba(0,0,0,0)'; + r.data.canvasContainer = document.createElement('div'); // eslint-disable-line no-undef + var containerStyle = r.data.canvasContainer.style; + r.data.canvasContainer.style[tapHlOffAttr] = tapHlOffStyle; + containerStyle.position = 'relative'; + containerStyle.zIndex = '0'; + containerStyle.overflow = 'hidden'; + var container = options.cy.container(); + container.appendChild(r.data.canvasContainer); + container.style[tapHlOffAttr] = tapHlOffStyle; + var styleMap = { + '-webkit-user-select': 'none', + '-moz-user-select': '-moz-none', + 'user-select': 'none', + '-webkit-tap-highlight-color': 'rgba(0,0,0,0)', + 'outline-style': 'none' + }; + if (ms()) { + styleMap['-ms-touch-action'] = 'none'; + styleMap['touch-action'] = 'none'; + } + for (var i = 0; i < CRp.CANVAS_LAYERS; i++) { + var canvas = r.data.canvases[i] = document.createElement('canvas'); // eslint-disable-line no-undef + r.data.contexts[i] = canvas.getContext('2d'); + Object.keys(styleMap).forEach(function (k) { + canvas.style[k] = styleMap[k]; + }); + canvas.style.position = 'absolute'; + canvas.setAttribute('data-id', 'layer' + i); + canvas.style.zIndex = String(CRp.CANVAS_LAYERS - i); + r.data.canvasContainer.appendChild(canvas); + r.data.canvasNeedsRedraw[i] = false; + } + r.data.topCanvas = r.data.canvases[0]; + r.data.canvases[CRp.NODE].setAttribute('data-id', 'layer' + CRp.NODE + '-node'); + r.data.canvases[CRp.SELECT_BOX].setAttribute('data-id', 'layer' + CRp.SELECT_BOX + '-selectbox'); + r.data.canvases[CRp.DRAG].setAttribute('data-id', 'layer' + CRp.DRAG + '-drag'); + for (var i = 0; i < CRp.BUFFER_COUNT; i++) { + r.data.bufferCanvases[i] = document.createElement('canvas'); // eslint-disable-line no-undef + r.data.bufferContexts[i] = r.data.bufferCanvases[i].getContext('2d'); + r.data.bufferCanvases[i].style.position = 'absolute'; + r.data.bufferCanvases[i].setAttribute('data-id', 'buffer' + i); + r.data.bufferCanvases[i].style.zIndex = String(-i - 1); + r.data.bufferCanvases[i].style.visibility = 'hidden'; + //r.data.canvasContainer.appendChild(r.data.bufferCanvases[i]); + } + + r.pathsEnabled = true; + var emptyBb = makeBoundingBox(); + var getBoxCenter = function getBoxCenter(bb) { + return { + x: (bb.x1 + bb.x2) / 2, + y: (bb.y1 + bb.y2) / 2 + }; + }; + var getCenterOffset = function getCenterOffset(bb) { + return { + x: -bb.w / 2, + y: -bb.h / 2 + }; + }; + var backgroundTimestampHasChanged = function backgroundTimestampHasChanged(ele) { + var _p = ele[0]._private; + var same = _p.oldBackgroundTimestamp === _p.backgroundTimestamp; + return !same; + }; + var getStyleKey = function getStyleKey(ele) { + return ele[0]._private.nodeKey; + }; + var getLabelKey = function getLabelKey(ele) { + return ele[0]._private.labelStyleKey; + }; + var getSourceLabelKey = function getSourceLabelKey(ele) { + return ele[0]._private.sourceLabelStyleKey; + }; + var getTargetLabelKey = function getTargetLabelKey(ele) { + return ele[0]._private.targetLabelStyleKey; + }; + var drawElement = function drawElement(context, ele, bb, scaledLabelShown, useEleOpacity) { + return r.drawElement(context, ele, bb, false, false, useEleOpacity); + }; + var drawLabel = function drawLabel(context, ele, bb, scaledLabelShown, useEleOpacity) { + return r.drawElementText(context, ele, bb, scaledLabelShown, 'main', useEleOpacity); + }; + var drawSourceLabel = function drawSourceLabel(context, ele, bb, scaledLabelShown, useEleOpacity) { + return r.drawElementText(context, ele, bb, scaledLabelShown, 'source', useEleOpacity); + }; + var drawTargetLabel = function drawTargetLabel(context, ele, bb, scaledLabelShown, useEleOpacity) { + return r.drawElementText(context, ele, bb, scaledLabelShown, 'target', useEleOpacity); + }; + var getElementBox = function getElementBox(ele) { + ele.boundingBox(); + return ele[0]._private.bodyBounds; + }; + var getLabelBox = function getLabelBox(ele) { + ele.boundingBox(); + return ele[0]._private.labelBounds.main || emptyBb; + }; + var getSourceLabelBox = function getSourceLabelBox(ele) { + ele.boundingBox(); + return ele[0]._private.labelBounds.source || emptyBb; + }; + var getTargetLabelBox = function getTargetLabelBox(ele) { + ele.boundingBox(); + return ele[0]._private.labelBounds.target || emptyBb; + }; + var isLabelVisibleAtScale = function isLabelVisibleAtScale(ele, scaledLabelShown) { + return scaledLabelShown; + }; + var getElementRotationPoint = function getElementRotationPoint(ele) { + return getBoxCenter(getElementBox(ele)); + }; + var addTextMargin = function addTextMargin(prefix, pt, ele) { + var pre = prefix ? prefix + '-' : ''; + return { + x: pt.x + ele.pstyle(pre + 'text-margin-x').pfValue, + y: pt.y + ele.pstyle(pre + 'text-margin-y').pfValue + }; + }; + var getRsPt = function getRsPt(ele, x, y) { + var rs = ele[0]._private.rscratch; + return { + x: rs[x], + y: rs[y] + }; + }; + var getLabelRotationPoint = function getLabelRotationPoint(ele) { + return addTextMargin('', getRsPt(ele, 'labelX', 'labelY'), ele); + }; + var getSourceLabelRotationPoint = function getSourceLabelRotationPoint(ele) { + return addTextMargin('source', getRsPt(ele, 'sourceLabelX', 'sourceLabelY'), ele); + }; + var getTargetLabelRotationPoint = function getTargetLabelRotationPoint(ele) { + return addTextMargin('target', getRsPt(ele, 'targetLabelX', 'targetLabelY'), ele); + }; + var getElementRotationOffset = function getElementRotationOffset(ele) { + return getCenterOffset(getElementBox(ele)); + }; + var getSourceLabelRotationOffset = function getSourceLabelRotationOffset(ele) { + return getCenterOffset(getSourceLabelBox(ele)); + }; + var getTargetLabelRotationOffset = function getTargetLabelRotationOffset(ele) { + return getCenterOffset(getTargetLabelBox(ele)); + }; + var getLabelRotationOffset = function getLabelRotationOffset(ele) { + var bb = getLabelBox(ele); + var p = getCenterOffset(getLabelBox(ele)); + if (ele.isNode()) { + switch (ele.pstyle('text-halign').value) { + case 'left': + p.x = -bb.w; + break; + case 'right': + p.x = 0; + break; + } + switch (ele.pstyle('text-valign').value) { + case 'top': + p.y = -bb.h; + break; + case 'bottom': + p.y = 0; + break; + } + } + return p; + }; + var eleTxrCache = r.data.eleTxrCache = new ElementTextureCache(r, { + getKey: getStyleKey, + doesEleInvalidateKey: backgroundTimestampHasChanged, + drawElement: drawElement, + getBoundingBox: getElementBox, + getRotationPoint: getElementRotationPoint, + getRotationOffset: getElementRotationOffset, + allowEdgeTxrCaching: false, + allowParentTxrCaching: false + }); + var lblTxrCache = r.data.lblTxrCache = new ElementTextureCache(r, { + getKey: getLabelKey, + drawElement: drawLabel, + getBoundingBox: getLabelBox, + getRotationPoint: getLabelRotationPoint, + getRotationOffset: getLabelRotationOffset, + isVisible: isLabelVisibleAtScale + }); + var slbTxrCache = r.data.slbTxrCache = new ElementTextureCache(r, { + getKey: getSourceLabelKey, + drawElement: drawSourceLabel, + getBoundingBox: getSourceLabelBox, + getRotationPoint: getSourceLabelRotationPoint, + getRotationOffset: getSourceLabelRotationOffset, + isVisible: isLabelVisibleAtScale + }); + var tlbTxrCache = r.data.tlbTxrCache = new ElementTextureCache(r, { + getKey: getTargetLabelKey, + drawElement: drawTargetLabel, + getBoundingBox: getTargetLabelBox, + getRotationPoint: getTargetLabelRotationPoint, + getRotationOffset: getTargetLabelRotationOffset, + isVisible: isLabelVisibleAtScale + }); + var lyrTxrCache = r.data.lyrTxrCache = new LayeredTextureCache(r); + r.onUpdateEleCalcs(function invalidateTextureCaches(willDraw, eles) { + // each cache should check for sub-key diff to see that the update affects that cache particularly + eleTxrCache.invalidateElements(eles); + lblTxrCache.invalidateElements(eles); + slbTxrCache.invalidateElements(eles); + tlbTxrCache.invalidateElements(eles); + + // any change invalidates the layers + lyrTxrCache.invalidateElements(eles); + + // update the old bg timestamp so diffs can be done in the ele txr caches + for (var _i = 0; _i < eles.length; _i++) { + var _p = eles[_i]._private; + _p.oldBackgroundTimestamp = _p.backgroundTimestamp; + } + }); + var refineInLayers = function refineInLayers(reqs) { + for (var i = 0; i < reqs.length; i++) { + lyrTxrCache.enqueueElementRefinement(reqs[i].ele); + } + }; + eleTxrCache.onDequeue(refineInLayers); + lblTxrCache.onDequeue(refineInLayers); + slbTxrCache.onDequeue(refineInLayers); + tlbTxrCache.onDequeue(refineInLayers); +} +CRp.redrawHint = function (group, bool) { + var r = this; + switch (group) { + case 'eles': + r.data.canvasNeedsRedraw[CRp.NODE] = bool; + break; + case 'drag': + r.data.canvasNeedsRedraw[CRp.DRAG] = bool; + break; + case 'select': + r.data.canvasNeedsRedraw[CRp.SELECT_BOX] = bool; + break; + } +}; + +// whether to use Path2D caching for drawing +var pathsImpld = typeof Path2D !== 'undefined'; +CRp.path2dEnabled = function (on) { + if (on === undefined) { + return this.pathsEnabled; + } + this.pathsEnabled = on ? true : false; +}; +CRp.usePaths = function () { + return pathsImpld && this.pathsEnabled; +}; +CRp.setImgSmoothing = function (context, bool) { + if (context.imageSmoothingEnabled != null) { + context.imageSmoothingEnabled = bool; + } else { + context.webkitImageSmoothingEnabled = bool; + context.mozImageSmoothingEnabled = bool; + context.msImageSmoothingEnabled = bool; + } +}; +CRp.getImgSmoothing = function (context) { + if (context.imageSmoothingEnabled != null) { + return context.imageSmoothingEnabled; + } else { + return context.webkitImageSmoothingEnabled || context.mozImageSmoothingEnabled || context.msImageSmoothingEnabled; + } +}; +CRp.makeOffscreenCanvas = function (width, height) { + var canvas; + if ((typeof OffscreenCanvas === "undefined" ? "undefined" : _typeof(OffscreenCanvas)) !== ("undefined" )) { + canvas = new OffscreenCanvas(width, height); + } else { + canvas = document.createElement('canvas'); // eslint-disable-line no-undef + canvas.width = width; + canvas.height = height; + } + return canvas; +}; +[CRp$a, CRp$9, CRp$8, CRp$7, CRp$6, CRp$5, CRp$4, CRp$3, CRp$2, CRp$1].forEach(function (props) { + extend(CRp, props); +}); + +var renderer = [{ + name: 'null', + impl: NullRenderer +}, { + name: 'base', + impl: BR +}, { + name: 'canvas', + impl: CR +}]; + +var incExts = [{ + type: 'layout', + extensions: layout +}, { + type: 'renderer', + extensions: renderer +}]; + +// registered extensions to cytoscape, indexed by name +var extensions = {}; + +// registered modules for extensions, indexed by name +var modules = {}; +function setExtension(type, name, registrant) { + var ext = registrant; + var overrideErr = function overrideErr(field) { + warn('Can not register `' + name + '` for `' + type + '` since `' + field + '` already exists in the prototype and can not be overridden'); + }; + if (type === 'core') { + if (Core.prototype[name]) { + return overrideErr(name); + } else { + Core.prototype[name] = registrant; + } + } else if (type === 'collection') { + if (Collection.prototype[name]) { + return overrideErr(name); + } else { + Collection.prototype[name] = registrant; + } + } else if (type === 'layout') { + // fill in missing layout functions in the prototype + + var Layout = function Layout(options) { + this.options = options; + registrant.call(this, options); + + // make sure layout has _private for use w/ std apis like .on() + if (!plainObject(this._private)) { + this._private = {}; + } + this._private.cy = options.cy; + this._private.listeners = []; + this.createEmitter(); + }; + var layoutProto = Layout.prototype = Object.create(registrant.prototype); + var optLayoutFns = []; + for (var i = 0; i < optLayoutFns.length; i++) { + var fnName = optLayoutFns[i]; + layoutProto[fnName] = layoutProto[fnName] || function () { + return this; + }; + } + + // either .start() or .run() is defined, so autogen the other + if (layoutProto.start && !layoutProto.run) { + layoutProto.run = function () { + this.start(); + return this; + }; + } else if (!layoutProto.start && layoutProto.run) { + layoutProto.start = function () { + this.run(); + return this; + }; + } + var regStop = registrant.prototype.stop; + layoutProto.stop = function () { + var opts = this.options; + if (opts && opts.animate) { + var anis = this.animations; + if (anis) { + for (var _i = 0; _i < anis.length; _i++) { + anis[_i].stop(); + } + } + } + if (regStop) { + regStop.call(this); + } else { + this.emit('layoutstop'); + } + return this; + }; + if (!layoutProto.destroy) { + layoutProto.destroy = function () { + return this; + }; + } + layoutProto.cy = function () { + return this._private.cy; + }; + var getCy = function getCy(layout) { + return layout._private.cy; + }; + var emitterOpts = { + addEventFields: function addEventFields(layout, evt) { + evt.layout = layout; + evt.cy = getCy(layout); + evt.target = layout; + }, + bubble: function bubble() { + return true; + }, + parent: function parent(layout) { + return getCy(layout); + } + }; + extend(layoutProto, { + createEmitter: function createEmitter() { + this._private.emitter = new Emitter(emitterOpts, this); + return this; + }, + emitter: function emitter() { + return this._private.emitter; + }, + on: function on(evt, cb) { + this.emitter().on(evt, cb); + return this; + }, + one: function one(evt, cb) { + this.emitter().one(evt, cb); + return this; + }, + once: function once(evt, cb) { + this.emitter().one(evt, cb); + return this; + }, + removeListener: function removeListener(evt, cb) { + this.emitter().removeListener(evt, cb); + return this; + }, + removeAllListeners: function removeAllListeners() { + this.emitter().removeAllListeners(); + return this; + }, + emit: function emit(evt, params) { + this.emitter().emit(evt, params); + return this; + } + }); + define.eventAliasesOn(layoutProto); + ext = Layout; // replace with our wrapped layout + } else if (type === 'renderer' && name !== 'null' && name !== 'base') { + // user registered renderers inherit from base + + var BaseRenderer = getExtension('renderer', 'base'); + var bProto = BaseRenderer.prototype; + var RegistrantRenderer = registrant; + var rProto = registrant.prototype; + var Renderer = function Renderer() { + BaseRenderer.apply(this, arguments); + RegistrantRenderer.apply(this, arguments); + }; + var proto = Renderer.prototype; + for (var pName in bProto) { + var pVal = bProto[pName]; + var existsInR = rProto[pName] != null; + if (existsInR) { + return overrideErr(pName); + } + proto[pName] = pVal; // take impl from base + } + + for (var _pName in rProto) { + proto[_pName] = rProto[_pName]; // take impl from registrant + } + + bProto.clientFunctions.forEach(function (name) { + proto[name] = proto[name] || function () { + error('Renderer does not implement `renderer.' + name + '()` on its prototype'); + }; + }); + ext = Renderer; + } else if (type === '__proto__' || type === 'constructor' || type === 'prototype') { + // to avoid potential prototype pollution + return error(type + ' is an illegal type to be registered, possibly lead to prototype pollutions'); + } + return setMap({ + map: extensions, + keys: [type, name], + value: ext + }); +} +function getExtension(type, name) { + return getMap({ + map: extensions, + keys: [type, name] + }); +} +function setModule(type, name, moduleType, moduleName, registrant) { + return setMap({ + map: modules, + keys: [type, name, moduleType, moduleName], + value: registrant + }); +} +function getModule(type, name, moduleType, moduleName) { + return getMap({ + map: modules, + keys: [type, name, moduleType, moduleName] + }); +} +var extension = function extension() { + // e.g. extension('renderer', 'svg') + if (arguments.length === 2) { + return getExtension.apply(null, arguments); + } + + // e.g. extension('renderer', 'svg', { ... }) + else if (arguments.length === 3) { + return setExtension.apply(null, arguments); + } + + // e.g. extension('renderer', 'svg', 'nodeShape', 'ellipse') + else if (arguments.length === 4) { + return getModule.apply(null, arguments); + } + + // e.g. extension('renderer', 'svg', 'nodeShape', 'ellipse', { ... }) + else if (arguments.length === 5) { + return setModule.apply(null, arguments); + } else { + error('Invalid extension access syntax'); + } +}; + +// allows a core instance to access extensions internally +Core.prototype.extension = extension; + +// included extensions +incExts.forEach(function (group) { + group.extensions.forEach(function (ext) { + setExtension(group.type, ext.name, ext.impl); + }); +}); + +// a dummy stylesheet object that doesn't need a reference to the core +// (useful for init) +var Stylesheet = function Stylesheet() { + if (!(this instanceof Stylesheet)) { + return new Stylesheet(); + } + this.length = 0; +}; +var sheetfn = Stylesheet.prototype; +sheetfn.instanceString = function () { + return 'stylesheet'; +}; + +// just store the selector to be parsed later +sheetfn.selector = function (selector) { + var i = this.length++; + this[i] = { + selector: selector, + properties: [] + }; + return this; // chaining +}; + +// just store the property to be parsed later +sheetfn.css = function (name, value) { + var i = this.length - 1; + if (string(name)) { + this[i].properties.push({ + name: name, + value: value + }); + } else if (plainObject(name)) { + var map = name; + var propNames = Object.keys(map); + for (var j = 0; j < propNames.length; j++) { + var key = propNames[j]; + var mapVal = map[key]; + if (mapVal == null) { + continue; + } + var prop = Style.properties[key] || Style.properties[dash2camel(key)]; + if (prop == null) { + continue; + } + var _name = prop.name; + var _value = mapVal; + this[i].properties.push({ + name: _name, + value: _value + }); + } + } + return this; // chaining +}; + +sheetfn.style = sheetfn.css; + +// generate a real style object from the dummy stylesheet +sheetfn.generateStyle = function (cy) { + var style = new Style(cy); + return this.appendToStyle(style); +}; + +// append a dummy stylesheet object on a real style object +sheetfn.appendToStyle = function (style) { + for (var i = 0; i < this.length; i++) { + var context = this[i]; + var selector = context.selector; + var props = context.properties; + style.selector(selector); // apply selector + + for (var j = 0; j < props.length; j++) { + var prop = props[j]; + style.css(prop.name, prop.value); // apply property + } + } + + return style; +}; + +var version = "3.28.1"; + +var cytoscape = function cytoscape(options) { + // if no options specified, use default + if (options === undefined) { + options = {}; + } + + // create instance + if (plainObject(options)) { + return new Core(options); + } + + // allow for registration of extensions + else if (string(options)) { + return extension.apply(extension, arguments); + } +}; + +// e.g. cytoscape.use( require('cytoscape-foo'), bar ) +cytoscape.use = function (ext) { + var args = Array.prototype.slice.call(arguments, 1); // args to pass to ext + + args.unshift(cytoscape); // cytoscape is first arg to ext + + ext.apply(null, args); + return this; +}; +cytoscape.warnings = function (bool) { + return warnings(bool); +}; + +// replaced by build system +cytoscape.version = version; + +// expose public apis (mostly for extensions) +cytoscape.stylesheet = cytoscape.Stylesheet = Stylesheet; + +module.exports = cytoscape; + + +/***/ }), + +/***/ 24416: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +module.exports = __webpack_require__(73328); + + +/***/ }), + +/***/ 73328: +/***/ (function(module, exports) { + +var __WEBPACK_AMD_DEFINE_FACTORY__, __WEBPACK_AMD_DEFINE_ARRAY__, __WEBPACK_AMD_DEFINE_RESULT__;// Generated by CoffeeScript 1.8.0 +(function() { + var Heap, defaultCmp, floor, heapify, heappop, heappush, heappushpop, heapreplace, insort, min, nlargest, nsmallest, updateItem, _siftdown, _siftup; + + floor = Math.floor, min = Math.min; + + + /* + Default comparison function to be used + */ + + defaultCmp = function(x, y) { + if (x < y) { + return -1; + } + if (x > y) { + return 1; + } + return 0; + }; + + + /* + Insert item x in list a, and keep it sorted assuming a is sorted. + + If x is already in a, insert it to the right of the rightmost x. + + Optional args lo (default 0) and hi (default a.length) bound the slice + of a to be searched. + */ + + insort = function(a, x, lo, hi, cmp) { + var mid; + if (lo == null) { + lo = 0; + } + if (cmp == null) { + cmp = defaultCmp; + } + if (lo < 0) { + throw new Error('lo must be non-negative'); + } + if (hi == null) { + hi = a.length; + } + while (lo < hi) { + mid = floor((lo + hi) / 2); + if (cmp(x, a[mid]) < 0) { + hi = mid; + } else { + lo = mid + 1; + } + } + return ([].splice.apply(a, [lo, lo - lo].concat(x)), x); + }; + + + /* + Push item onto heap, maintaining the heap invariant. + */ + + heappush = function(array, item, cmp) { + if (cmp == null) { + cmp = defaultCmp; + } + array.push(item); + return _siftdown(array, 0, array.length - 1, cmp); + }; + + + /* + Pop the smallest item off the heap, maintaining the heap invariant. + */ + + heappop = function(array, cmp) { + var lastelt, returnitem; + if (cmp == null) { + cmp = defaultCmp; + } + lastelt = array.pop(); + if (array.length) { + returnitem = array[0]; + array[0] = lastelt; + _siftup(array, 0, cmp); + } else { + returnitem = lastelt; + } + return returnitem; + }; + + + /* + Pop and return the current smallest value, and add the new item. + + This is more efficient than heappop() followed by heappush(), and can be + more appropriate when using a fixed size heap. Note that the value + returned may be larger than item! That constrains reasonable use of + this routine unless written as part of a conditional replacement: + if item > array[0] + item = heapreplace(array, item) + */ + + heapreplace = function(array, item, cmp) { + var returnitem; + if (cmp == null) { + cmp = defaultCmp; + } + returnitem = array[0]; + array[0] = item; + _siftup(array, 0, cmp); + return returnitem; + }; + + + /* + Fast version of a heappush followed by a heappop. + */ + + heappushpop = function(array, item, cmp) { + var _ref; + if (cmp == null) { + cmp = defaultCmp; + } + if (array.length && cmp(array[0], item) < 0) { + _ref = [array[0], item], item = _ref[0], array[0] = _ref[1]; + _siftup(array, 0, cmp); + } + return item; + }; + + + /* + Transform list into a heap, in-place, in O(array.length) time. + */ + + heapify = function(array, cmp) { + var i, _i, _j, _len, _ref, _ref1, _results, _results1; + if (cmp == null) { + cmp = defaultCmp; + } + _ref1 = (function() { + _results1 = []; + for (var _j = 0, _ref = floor(array.length / 2); 0 <= _ref ? _j < _ref : _j > _ref; 0 <= _ref ? _j++ : _j--){ _results1.push(_j); } + return _results1; + }).apply(this).reverse(); + _results = []; + for (_i = 0, _len = _ref1.length; _i < _len; _i++) { + i = _ref1[_i]; + _results.push(_siftup(array, i, cmp)); + } + return _results; + }; + + + /* + Update the position of the given item in the heap. + This function should be called every time the item is being modified. + */ + + updateItem = function(array, item, cmp) { + var pos; + if (cmp == null) { + cmp = defaultCmp; + } + pos = array.indexOf(item); + if (pos === -1) { + return; + } + _siftdown(array, 0, pos, cmp); + return _siftup(array, pos, cmp); + }; + + + /* + Find the n largest elements in a dataset. + */ + + nlargest = function(array, n, cmp) { + var elem, result, _i, _len, _ref; + if (cmp == null) { + cmp = defaultCmp; + } + result = array.slice(0, n); + if (!result.length) { + return result; + } + heapify(result, cmp); + _ref = array.slice(n); + for (_i = 0, _len = _ref.length; _i < _len; _i++) { + elem = _ref[_i]; + heappushpop(result, elem, cmp); + } + return result.sort(cmp).reverse(); + }; + + + /* + Find the n smallest elements in a dataset. + */ + + nsmallest = function(array, n, cmp) { + var elem, i, los, result, _i, _j, _len, _ref, _ref1, _results; + if (cmp == null) { + cmp = defaultCmp; + } + if (n * 10 <= array.length) { + result = array.slice(0, n).sort(cmp); + if (!result.length) { + return result; + } + los = result[result.length - 1]; + _ref = array.slice(n); + for (_i = 0, _len = _ref.length; _i < _len; _i++) { + elem = _ref[_i]; + if (cmp(elem, los) < 0) { + insort(result, elem, 0, null, cmp); + result.pop(); + los = result[result.length - 1]; + } + } + return result; + } + heapify(array, cmp); + _results = []; + for (i = _j = 0, _ref1 = min(n, array.length); 0 <= _ref1 ? _j < _ref1 : _j > _ref1; i = 0 <= _ref1 ? ++_j : --_j) { + _results.push(heappop(array, cmp)); + } + return _results; + }; + + _siftdown = function(array, startpos, pos, cmp) { + var newitem, parent, parentpos; + if (cmp == null) { + cmp = defaultCmp; + } + newitem = array[pos]; + while (pos > startpos) { + parentpos = (pos - 1) >> 1; + parent = array[parentpos]; + if (cmp(newitem, parent) < 0) { + array[pos] = parent; + pos = parentpos; + continue; + } + break; + } + return array[pos] = newitem; + }; + + _siftup = function(array, pos, cmp) { + var childpos, endpos, newitem, rightpos, startpos; + if (cmp == null) { + cmp = defaultCmp; + } + endpos = array.length; + startpos = pos; + newitem = array[pos]; + childpos = 2 * pos + 1; + while (childpos < endpos) { + rightpos = childpos + 1; + if (rightpos < endpos && !(cmp(array[childpos], array[rightpos]) < 0)) { + childpos = rightpos; + } + array[pos] = array[childpos]; + pos = childpos; + childpos = 2 * pos + 1; + } + array[pos] = newitem; + return _siftdown(array, startpos, pos, cmp); + }; + + Heap = (function() { + Heap.push = heappush; + + Heap.pop = heappop; + + Heap.replace = heapreplace; + + Heap.pushpop = heappushpop; + + Heap.heapify = heapify; + + Heap.updateItem = updateItem; + + Heap.nlargest = nlargest; + + Heap.nsmallest = nsmallest; + + function Heap(cmp) { + this.cmp = cmp != null ? cmp : defaultCmp; + this.nodes = []; + } + + Heap.prototype.push = function(x) { + return heappush(this.nodes, x, this.cmp); + }; + + Heap.prototype.pop = function() { + return heappop(this.nodes, this.cmp); + }; + + Heap.prototype.peek = function() { + return this.nodes[0]; + }; + + Heap.prototype.contains = function(x) { + return this.nodes.indexOf(x) !== -1; + }; + + Heap.prototype.replace = function(x) { + return heapreplace(this.nodes, x, this.cmp); + }; + + Heap.prototype.pushpop = function(x) { + return heappushpop(this.nodes, x, this.cmp); + }; + + Heap.prototype.heapify = function() { + return heapify(this.nodes, this.cmp); + }; + + Heap.prototype.updateItem = function(x) { + return updateItem(this.nodes, x, this.cmp); + }; + + Heap.prototype.clear = function() { + return this.nodes = []; + }; + + Heap.prototype.empty = function() { + return this.nodes.length === 0; + }; + + Heap.prototype.size = function() { + return this.nodes.length; + }; + + Heap.prototype.clone = function() { + var heap; + heap = new Heap(); + heap.nodes = this.nodes.slice(0); + return heap; + }; + + Heap.prototype.toArray = function() { + return this.nodes.slice(0); + }; + + Heap.prototype.insert = Heap.prototype.push; + + Heap.prototype.top = Heap.prototype.peek; + + Heap.prototype.front = Heap.prototype.peek; + + Heap.prototype.has = Heap.prototype.contains; + + Heap.prototype.copy = Heap.prototype.clone; + + return Heap; + + })(); + + (function(root, factory) { + if (true) { + return !(__WEBPACK_AMD_DEFINE_ARRAY__ = [], __WEBPACK_AMD_DEFINE_FACTORY__ = (factory), + __WEBPACK_AMD_DEFINE_RESULT__ = (typeof __WEBPACK_AMD_DEFINE_FACTORY__ === 'function' ? + (__WEBPACK_AMD_DEFINE_FACTORY__.apply(exports, __WEBPACK_AMD_DEFINE_ARRAY__)) : __WEBPACK_AMD_DEFINE_FACTORY__), + __WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__)); + } else {} + })(this, function() { + return Heap; + }); + +}).call(this); + + +/***/ }), + +/***/ 8744: +/***/ (function(module) { + +(function webpackUniversalModuleDefinition(root, factory) { + if(true) + module.exports = factory(); + else {} +})(this, function() { +return /******/ (function(modules) { // webpackBootstrap +/******/ // The module cache +/******/ var installedModules = {}; +/******/ +/******/ // The require function +/******/ function __nested_webpack_require_543__(moduleId) { +/******/ +/******/ // Check if module is in cache +/******/ if(installedModules[moduleId]) { +/******/ return installedModules[moduleId].exports; +/******/ } +/******/ // Create a new module (and put it into the cache) +/******/ var module = installedModules[moduleId] = { +/******/ i: moduleId, +/******/ l: false, +/******/ exports: {} +/******/ }; +/******/ +/******/ // Execute the module function +/******/ modules[moduleId].call(module.exports, module, module.exports, __nested_webpack_require_543__); +/******/ +/******/ // Flag the module as loaded +/******/ module.l = true; +/******/ +/******/ // Return the exports of the module +/******/ return module.exports; +/******/ } +/******/ +/******/ +/******/ // expose the modules object (__webpack_modules__) +/******/ __nested_webpack_require_543__.m = modules; +/******/ +/******/ // expose the module cache +/******/ __nested_webpack_require_543__.c = installedModules; +/******/ +/******/ // identity function for calling harmony imports with the correct context +/******/ __nested_webpack_require_543__.i = function(value) { return value; }; +/******/ +/******/ // define getter function for harmony exports +/******/ __nested_webpack_require_543__.d = function(exports, name, getter) { +/******/ if(!__nested_webpack_require_543__.o(exports, name)) { +/******/ Object.defineProperty(exports, name, { +/******/ configurable: false, +/******/ enumerable: true, +/******/ get: getter +/******/ }); +/******/ } +/******/ }; +/******/ +/******/ // getDefaultExport function for compatibility with non-harmony modules +/******/ __nested_webpack_require_543__.n = function(module) { +/******/ var getter = module && module.__esModule ? +/******/ function getDefault() { return module['default']; } : +/******/ function getModuleExports() { return module; }; +/******/ __nested_webpack_require_543__.d(getter, 'a', getter); +/******/ return getter; +/******/ }; +/******/ +/******/ // Object.prototype.hasOwnProperty.call +/******/ __nested_webpack_require_543__.o = function(object, property) { return Object.prototype.hasOwnProperty.call(object, property); }; +/******/ +/******/ // __webpack_public_path__ +/******/ __nested_webpack_require_543__.p = ""; +/******/ +/******/ // Load entry module and return exports +/******/ return __nested_webpack_require_543__(__nested_webpack_require_543__.s = 26); +/******/ }) +/************************************************************************/ +/******/ ([ +/* 0 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function LayoutConstants() {} + +/** + * Layout Quality: 0:draft, 1:default, 2:proof + */ +LayoutConstants.QUALITY = 1; + +/** + * Default parameters + */ +LayoutConstants.DEFAULT_CREATE_BENDS_AS_NEEDED = false; +LayoutConstants.DEFAULT_INCREMENTAL = false; +LayoutConstants.DEFAULT_ANIMATION_ON_LAYOUT = true; +LayoutConstants.DEFAULT_ANIMATION_DURING_LAYOUT = false; +LayoutConstants.DEFAULT_ANIMATION_PERIOD = 50; +LayoutConstants.DEFAULT_UNIFORM_LEAF_NODE_SIZES = false; + +// ----------------------------------------------------------------------------- +// Section: General other constants +// ----------------------------------------------------------------------------- +/* + * Margins of a graph to be applied on bouding rectangle of its contents. We + * assume margins on all four sides to be uniform. + */ +LayoutConstants.DEFAULT_GRAPH_MARGIN = 15; + +/* + * Whether to consider labels in node dimensions or not + */ +LayoutConstants.NODE_DIMENSIONS_INCLUDE_LABELS = false; + +/* + * Default dimension of a non-compound node. + */ +LayoutConstants.SIMPLE_NODE_SIZE = 40; + +/* + * Default dimension of a non-compound node. + */ +LayoutConstants.SIMPLE_NODE_HALF_SIZE = LayoutConstants.SIMPLE_NODE_SIZE / 2; + +/* + * Empty compound node size. When a compound node is empty, its both + * dimensions should be of this value. + */ +LayoutConstants.EMPTY_COMPOUND_NODE_SIZE = 40; + +/* + * Minimum length that an edge should take during layout + */ +LayoutConstants.MIN_EDGE_LENGTH = 1; + +/* + * World boundaries that layout operates on + */ +LayoutConstants.WORLD_BOUNDARY = 1000000; + +/* + * World boundaries that random positioning can be performed with + */ +LayoutConstants.INITIAL_WORLD_BOUNDARY = LayoutConstants.WORLD_BOUNDARY / 1000; + +/* + * Coordinates of the world center + */ +LayoutConstants.WORLD_CENTER_X = 1200; +LayoutConstants.WORLD_CENTER_Y = 900; + +module.exports = LayoutConstants; + +/***/ }), +/* 1 */ +/***/ (function(module, exports, __nested_webpack_require_4947__) { + +"use strict"; + + +var LGraphObject = __nested_webpack_require_4947__(2); +var IGeometry = __nested_webpack_require_4947__(8); +var IMath = __nested_webpack_require_4947__(9); + +function LEdge(source, target, vEdge) { + LGraphObject.call(this, vEdge); + + this.isOverlapingSourceAndTarget = false; + this.vGraphObject = vEdge; + this.bendpoints = []; + this.source = source; + this.target = target; +} + +LEdge.prototype = Object.create(LGraphObject.prototype); + +for (var prop in LGraphObject) { + LEdge[prop] = LGraphObject[prop]; +} + +LEdge.prototype.getSource = function () { + return this.source; +}; + +LEdge.prototype.getTarget = function () { + return this.target; +}; + +LEdge.prototype.isInterGraph = function () { + return this.isInterGraph; +}; + +LEdge.prototype.getLength = function () { + return this.length; +}; + +LEdge.prototype.isOverlapingSourceAndTarget = function () { + return this.isOverlapingSourceAndTarget; +}; + +LEdge.prototype.getBendpoints = function () { + return this.bendpoints; +}; + +LEdge.prototype.getLca = function () { + return this.lca; +}; + +LEdge.prototype.getSourceInLca = function () { + return this.sourceInLca; +}; + +LEdge.prototype.getTargetInLca = function () { + return this.targetInLca; +}; + +LEdge.prototype.getOtherEnd = function (node) { + if (this.source === node) { + return this.target; + } else if (this.target === node) { + return this.source; + } else { + throw "Node is not incident with this edge"; + } +}; + +LEdge.prototype.getOtherEndInGraph = function (node, graph) { + var otherEnd = this.getOtherEnd(node); + var root = graph.getGraphManager().getRoot(); + + while (true) { + if (otherEnd.getOwner() == graph) { + return otherEnd; + } + + if (otherEnd.getOwner() == root) { + break; + } + + otherEnd = otherEnd.getOwner().getParent(); + } + + return null; +}; + +LEdge.prototype.updateLength = function () { + var clipPointCoordinates = new Array(4); + + this.isOverlapingSourceAndTarget = IGeometry.getIntersection(this.target.getRect(), this.source.getRect(), clipPointCoordinates); + + if (!this.isOverlapingSourceAndTarget) { + this.lengthX = clipPointCoordinates[0] - clipPointCoordinates[2]; + this.lengthY = clipPointCoordinates[1] - clipPointCoordinates[3]; + + if (Math.abs(this.lengthX) < 1.0) { + this.lengthX = IMath.sign(this.lengthX); + } + + if (Math.abs(this.lengthY) < 1.0) { + this.lengthY = IMath.sign(this.lengthY); + } + + this.length = Math.sqrt(this.lengthX * this.lengthX + this.lengthY * this.lengthY); + } +}; + +LEdge.prototype.updateLengthSimple = function () { + this.lengthX = this.target.getCenterX() - this.source.getCenterX(); + this.lengthY = this.target.getCenterY() - this.source.getCenterY(); + + if (Math.abs(this.lengthX) < 1.0) { + this.lengthX = IMath.sign(this.lengthX); + } + + if (Math.abs(this.lengthY) < 1.0) { + this.lengthY = IMath.sign(this.lengthY); + } + + this.length = Math.sqrt(this.lengthX * this.lengthX + this.lengthY * this.lengthY); +}; + +module.exports = LEdge; + +/***/ }), +/* 2 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function LGraphObject(vGraphObject) { + this.vGraphObject = vGraphObject; +} + +module.exports = LGraphObject; + +/***/ }), +/* 3 */ +/***/ (function(module, exports, __nested_webpack_require_8167__) { + +"use strict"; + + +var LGraphObject = __nested_webpack_require_8167__(2); +var Integer = __nested_webpack_require_8167__(10); +var RectangleD = __nested_webpack_require_8167__(13); +var LayoutConstants = __nested_webpack_require_8167__(0); +var RandomSeed = __nested_webpack_require_8167__(16); +var PointD = __nested_webpack_require_8167__(4); + +function LNode(gm, loc, size, vNode) { + //Alternative constructor 1 : LNode(LGraphManager gm, Point loc, Dimension size, Object vNode) + if (size == null && vNode == null) { + vNode = loc; + } + + LGraphObject.call(this, vNode); + + //Alternative constructor 2 : LNode(Layout layout, Object vNode) + if (gm.graphManager != null) gm = gm.graphManager; + + this.estimatedSize = Integer.MIN_VALUE; + this.inclusionTreeDepth = Integer.MAX_VALUE; + this.vGraphObject = vNode; + this.edges = []; + this.graphManager = gm; + + if (size != null && loc != null) this.rect = new RectangleD(loc.x, loc.y, size.width, size.height);else this.rect = new RectangleD(); +} + +LNode.prototype = Object.create(LGraphObject.prototype); +for (var prop in LGraphObject) { + LNode[prop] = LGraphObject[prop]; +} + +LNode.prototype.getEdges = function () { + return this.edges; +}; + +LNode.prototype.getChild = function () { + return this.child; +}; + +LNode.prototype.getOwner = function () { + // if (this.owner != null) { + // if (!(this.owner == null || this.owner.getNodes().indexOf(this) > -1)) { + // throw "assert failed"; + // } + // } + + return this.owner; +}; + +LNode.prototype.getWidth = function () { + return this.rect.width; +}; + +LNode.prototype.setWidth = function (width) { + this.rect.width = width; +}; + +LNode.prototype.getHeight = function () { + return this.rect.height; +}; + +LNode.prototype.setHeight = function (height) { + this.rect.height = height; +}; + +LNode.prototype.getCenterX = function () { + return this.rect.x + this.rect.width / 2; +}; + +LNode.prototype.getCenterY = function () { + return this.rect.y + this.rect.height / 2; +}; + +LNode.prototype.getCenter = function () { + return new PointD(this.rect.x + this.rect.width / 2, this.rect.y + this.rect.height / 2); +}; + +LNode.prototype.getLocation = function () { + return new PointD(this.rect.x, this.rect.y); +}; + +LNode.prototype.getRect = function () { + return this.rect; +}; + +LNode.prototype.getDiagonal = function () { + return Math.sqrt(this.rect.width * this.rect.width + this.rect.height * this.rect.height); +}; + +/** + * This method returns half the diagonal length of this node. + */ +LNode.prototype.getHalfTheDiagonal = function () { + return Math.sqrt(this.rect.height * this.rect.height + this.rect.width * this.rect.width) / 2; +}; + +LNode.prototype.setRect = function (upperLeft, dimension) { + this.rect.x = upperLeft.x; + this.rect.y = upperLeft.y; + this.rect.width = dimension.width; + this.rect.height = dimension.height; +}; + +LNode.prototype.setCenter = function (cx, cy) { + this.rect.x = cx - this.rect.width / 2; + this.rect.y = cy - this.rect.height / 2; +}; + +LNode.prototype.setLocation = function (x, y) { + this.rect.x = x; + this.rect.y = y; +}; + +LNode.prototype.moveBy = function (dx, dy) { + this.rect.x += dx; + this.rect.y += dy; +}; + +LNode.prototype.getEdgeListToNode = function (to) { + var edgeList = []; + var edge; + var self = this; + + self.edges.forEach(function (edge) { + + if (edge.target == to) { + if (edge.source != self) throw "Incorrect edge source!"; + + edgeList.push(edge); + } + }); + + return edgeList; +}; + +LNode.prototype.getEdgesBetween = function (other) { + var edgeList = []; + var edge; + + var self = this; + self.edges.forEach(function (edge) { + + if (!(edge.source == self || edge.target == self)) throw "Incorrect edge source and/or target"; + + if (edge.target == other || edge.source == other) { + edgeList.push(edge); + } + }); + + return edgeList; +}; + +LNode.prototype.getNeighborsList = function () { + var neighbors = new Set(); + + var self = this; + self.edges.forEach(function (edge) { + + if (edge.source == self) { + neighbors.add(edge.target); + } else { + if (edge.target != self) { + throw "Incorrect incidency!"; + } + + neighbors.add(edge.source); + } + }); + + return neighbors; +}; + +LNode.prototype.withChildren = function () { + var withNeighborsList = new Set(); + var childNode; + var children; + + withNeighborsList.add(this); + + if (this.child != null) { + var nodes = this.child.getNodes(); + for (var i = 0; i < nodes.length; i++) { + childNode = nodes[i]; + children = childNode.withChildren(); + children.forEach(function (node) { + withNeighborsList.add(node); + }); + } + } + + return withNeighborsList; +}; + +LNode.prototype.getNoOfChildren = function () { + var noOfChildren = 0; + var childNode; + + if (this.child == null) { + noOfChildren = 1; + } else { + var nodes = this.child.getNodes(); + for (var i = 0; i < nodes.length; i++) { + childNode = nodes[i]; + + noOfChildren += childNode.getNoOfChildren(); + } + } + + if (noOfChildren == 0) { + noOfChildren = 1; + } + return noOfChildren; +}; + +LNode.prototype.getEstimatedSize = function () { + if (this.estimatedSize == Integer.MIN_VALUE) { + throw "assert failed"; + } + return this.estimatedSize; +}; + +LNode.prototype.calcEstimatedSize = function () { + if (this.child == null) { + return this.estimatedSize = (this.rect.width + this.rect.height) / 2; + } else { + this.estimatedSize = this.child.calcEstimatedSize(); + this.rect.width = this.estimatedSize; + this.rect.height = this.estimatedSize; + + return this.estimatedSize; + } +}; + +LNode.prototype.scatter = function () { + var randomCenterX; + var randomCenterY; + + var minX = -LayoutConstants.INITIAL_WORLD_BOUNDARY; + var maxX = LayoutConstants.INITIAL_WORLD_BOUNDARY; + randomCenterX = LayoutConstants.WORLD_CENTER_X + RandomSeed.nextDouble() * (maxX - minX) + minX; + + var minY = -LayoutConstants.INITIAL_WORLD_BOUNDARY; + var maxY = LayoutConstants.INITIAL_WORLD_BOUNDARY; + randomCenterY = LayoutConstants.WORLD_CENTER_Y + RandomSeed.nextDouble() * (maxY - minY) + minY; + + this.rect.x = randomCenterX; + this.rect.y = randomCenterY; +}; + +LNode.prototype.updateBounds = function () { + if (this.getChild() == null) { + throw "assert failed"; + } + if (this.getChild().getNodes().length != 0) { + // wrap the children nodes by re-arranging the boundaries + var childGraph = this.getChild(); + childGraph.updateBounds(true); + + this.rect.x = childGraph.getLeft(); + this.rect.y = childGraph.getTop(); + + this.setWidth(childGraph.getRight() - childGraph.getLeft()); + this.setHeight(childGraph.getBottom() - childGraph.getTop()); + + // Update compound bounds considering its label properties + if (LayoutConstants.NODE_DIMENSIONS_INCLUDE_LABELS) { + + var width = childGraph.getRight() - childGraph.getLeft(); + var height = childGraph.getBottom() - childGraph.getTop(); + + if (this.labelWidth > width) { + this.rect.x -= (this.labelWidth - width) / 2; + this.setWidth(this.labelWidth); + } + + if (this.labelHeight > height) { + if (this.labelPos == "center") { + this.rect.y -= (this.labelHeight - height) / 2; + } else if (this.labelPos == "top") { + this.rect.y -= this.labelHeight - height; + } + this.setHeight(this.labelHeight); + } + } + } +}; + +LNode.prototype.getInclusionTreeDepth = function () { + if (this.inclusionTreeDepth == Integer.MAX_VALUE) { + throw "assert failed"; + } + return this.inclusionTreeDepth; +}; + +LNode.prototype.transform = function (trans) { + var left = this.rect.x; + + if (left > LayoutConstants.WORLD_BOUNDARY) { + left = LayoutConstants.WORLD_BOUNDARY; + } else if (left < -LayoutConstants.WORLD_BOUNDARY) { + left = -LayoutConstants.WORLD_BOUNDARY; + } + + var top = this.rect.y; + + if (top > LayoutConstants.WORLD_BOUNDARY) { + top = LayoutConstants.WORLD_BOUNDARY; + } else if (top < -LayoutConstants.WORLD_BOUNDARY) { + top = -LayoutConstants.WORLD_BOUNDARY; + } + + var leftTop = new PointD(left, top); + var vLeftTop = trans.inverseTransformPoint(leftTop); + + this.setLocation(vLeftTop.x, vLeftTop.y); +}; + +LNode.prototype.getLeft = function () { + return this.rect.x; +}; + +LNode.prototype.getRight = function () { + return this.rect.x + this.rect.width; +}; + +LNode.prototype.getTop = function () { + return this.rect.y; +}; + +LNode.prototype.getBottom = function () { + return this.rect.y + this.rect.height; +}; + +LNode.prototype.getParent = function () { + if (this.owner == null) { + return null; + } + + return this.owner.getParent(); +}; + +module.exports = LNode; + +/***/ }), +/* 4 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function PointD(x, y) { + if (x == null && y == null) { + this.x = 0; + this.y = 0; + } else { + this.x = x; + this.y = y; + } +} + +PointD.prototype.getX = function () { + return this.x; +}; + +PointD.prototype.getY = function () { + return this.y; +}; + +PointD.prototype.setX = function (x) { + this.x = x; +}; + +PointD.prototype.setY = function (y) { + this.y = y; +}; + +PointD.prototype.getDifference = function (pt) { + return new DimensionD(this.x - pt.x, this.y - pt.y); +}; + +PointD.prototype.getCopy = function () { + return new PointD(this.x, this.y); +}; + +PointD.prototype.translate = function (dim) { + this.x += dim.width; + this.y += dim.height; + return this; +}; + +module.exports = PointD; + +/***/ }), +/* 5 */ +/***/ (function(module, exports, __nested_webpack_require_17549__) { + +"use strict"; + + +var LGraphObject = __nested_webpack_require_17549__(2); +var Integer = __nested_webpack_require_17549__(10); +var LayoutConstants = __nested_webpack_require_17549__(0); +var LGraphManager = __nested_webpack_require_17549__(6); +var LNode = __nested_webpack_require_17549__(3); +var LEdge = __nested_webpack_require_17549__(1); +var RectangleD = __nested_webpack_require_17549__(13); +var Point = __nested_webpack_require_17549__(12); +var LinkedList = __nested_webpack_require_17549__(11); + +function LGraph(parent, obj2, vGraph) { + LGraphObject.call(this, vGraph); + this.estimatedSize = Integer.MIN_VALUE; + this.margin = LayoutConstants.DEFAULT_GRAPH_MARGIN; + this.edges = []; + this.nodes = []; + this.isConnected = false; + this.parent = parent; + + if (obj2 != null && obj2 instanceof LGraphManager) { + this.graphManager = obj2; + } else if (obj2 != null && obj2 instanceof Layout) { + this.graphManager = obj2.graphManager; + } +} + +LGraph.prototype = Object.create(LGraphObject.prototype); +for (var prop in LGraphObject) { + LGraph[prop] = LGraphObject[prop]; +} + +LGraph.prototype.getNodes = function () { + return this.nodes; +}; + +LGraph.prototype.getEdges = function () { + return this.edges; +}; + +LGraph.prototype.getGraphManager = function () { + return this.graphManager; +}; + +LGraph.prototype.getParent = function () { + return this.parent; +}; + +LGraph.prototype.getLeft = function () { + return this.left; +}; + +LGraph.prototype.getRight = function () { + return this.right; +}; + +LGraph.prototype.getTop = function () { + return this.top; +}; + +LGraph.prototype.getBottom = function () { + return this.bottom; +}; + +LGraph.prototype.isConnected = function () { + return this.isConnected; +}; + +LGraph.prototype.add = function (obj1, sourceNode, targetNode) { + if (sourceNode == null && targetNode == null) { + var newNode = obj1; + if (this.graphManager == null) { + throw "Graph has no graph mgr!"; + } + if (this.getNodes().indexOf(newNode) > -1) { + throw "Node already in graph!"; + } + newNode.owner = this; + this.getNodes().push(newNode); + + return newNode; + } else { + var newEdge = obj1; + if (!(this.getNodes().indexOf(sourceNode) > -1 && this.getNodes().indexOf(targetNode) > -1)) { + throw "Source or target not in graph!"; + } + + if (!(sourceNode.owner == targetNode.owner && sourceNode.owner == this)) { + throw "Both owners must be this graph!"; + } + + if (sourceNode.owner != targetNode.owner) { + return null; + } + + // set source and target + newEdge.source = sourceNode; + newEdge.target = targetNode; + + // set as intra-graph edge + newEdge.isInterGraph = false; + + // add to graph edge list + this.getEdges().push(newEdge); + + // add to incidency lists + sourceNode.edges.push(newEdge); + + if (targetNode != sourceNode) { + targetNode.edges.push(newEdge); + } + + return newEdge; + } +}; + +LGraph.prototype.remove = function (obj) { + var node = obj; + if (obj instanceof LNode) { + if (node == null) { + throw "Node is null!"; + } + if (!(node.owner != null && node.owner == this)) { + throw "Owner graph is invalid!"; + } + if (this.graphManager == null) { + throw "Owner graph manager is invalid!"; + } + // remove incident edges first (make a copy to do it safely) + var edgesToBeRemoved = node.edges.slice(); + var edge; + var s = edgesToBeRemoved.length; + for (var i = 0; i < s; i++) { + edge = edgesToBeRemoved[i]; + + if (edge.isInterGraph) { + this.graphManager.remove(edge); + } else { + edge.source.owner.remove(edge); + } + } + + // now the node itself + var index = this.nodes.indexOf(node); + if (index == -1) { + throw "Node not in owner node list!"; + } + + this.nodes.splice(index, 1); + } else if (obj instanceof LEdge) { + var edge = obj; + if (edge == null) { + throw "Edge is null!"; + } + if (!(edge.source != null && edge.target != null)) { + throw "Source and/or target is null!"; + } + if (!(edge.source.owner != null && edge.target.owner != null && edge.source.owner == this && edge.target.owner == this)) { + throw "Source and/or target owner is invalid!"; + } + + var sourceIndex = edge.source.edges.indexOf(edge); + var targetIndex = edge.target.edges.indexOf(edge); + if (!(sourceIndex > -1 && targetIndex > -1)) { + throw "Source and/or target doesn't know this edge!"; + } + + edge.source.edges.splice(sourceIndex, 1); + + if (edge.target != edge.source) { + edge.target.edges.splice(targetIndex, 1); + } + + var index = edge.source.owner.getEdges().indexOf(edge); + if (index == -1) { + throw "Not in owner's edge list!"; + } + + edge.source.owner.getEdges().splice(index, 1); + } +}; + +LGraph.prototype.updateLeftTop = function () { + var top = Integer.MAX_VALUE; + var left = Integer.MAX_VALUE; + var nodeTop; + var nodeLeft; + var margin; + + var nodes = this.getNodes(); + var s = nodes.length; + + for (var i = 0; i < s; i++) { + var lNode = nodes[i]; + nodeTop = lNode.getTop(); + nodeLeft = lNode.getLeft(); + + if (top > nodeTop) { + top = nodeTop; + } + + if (left > nodeLeft) { + left = nodeLeft; + } + } + + // Do we have any nodes in this graph? + if (top == Integer.MAX_VALUE) { + return null; + } + + if (nodes[0].getParent().paddingLeft != undefined) { + margin = nodes[0].getParent().paddingLeft; + } else { + margin = this.margin; + } + + this.left = left - margin; + this.top = top - margin; + + // Apply the margins and return the result + return new Point(this.left, this.top); +}; + +LGraph.prototype.updateBounds = function (recursive) { + // calculate bounds + var left = Integer.MAX_VALUE; + var right = -Integer.MAX_VALUE; + var top = Integer.MAX_VALUE; + var bottom = -Integer.MAX_VALUE; + var nodeLeft; + var nodeRight; + var nodeTop; + var nodeBottom; + var margin; + + var nodes = this.nodes; + var s = nodes.length; + for (var i = 0; i < s; i++) { + var lNode = nodes[i]; + + if (recursive && lNode.child != null) { + lNode.updateBounds(); + } + nodeLeft = lNode.getLeft(); + nodeRight = lNode.getRight(); + nodeTop = lNode.getTop(); + nodeBottom = lNode.getBottom(); + + if (left > nodeLeft) { + left = nodeLeft; + } + + if (right < nodeRight) { + right = nodeRight; + } + + if (top > nodeTop) { + top = nodeTop; + } + + if (bottom < nodeBottom) { + bottom = nodeBottom; + } + } + + var boundingRect = new RectangleD(left, top, right - left, bottom - top); + if (left == Integer.MAX_VALUE) { + this.left = this.parent.getLeft(); + this.right = this.parent.getRight(); + this.top = this.parent.getTop(); + this.bottom = this.parent.getBottom(); + } + + if (nodes[0].getParent().paddingLeft != undefined) { + margin = nodes[0].getParent().paddingLeft; + } else { + margin = this.margin; + } + + this.left = boundingRect.x - margin; + this.right = boundingRect.x + boundingRect.width + margin; + this.top = boundingRect.y - margin; + this.bottom = boundingRect.y + boundingRect.height + margin; +}; + +LGraph.calculateBounds = function (nodes) { + var left = Integer.MAX_VALUE; + var right = -Integer.MAX_VALUE; + var top = Integer.MAX_VALUE; + var bottom = -Integer.MAX_VALUE; + var nodeLeft; + var nodeRight; + var nodeTop; + var nodeBottom; + + var s = nodes.length; + + for (var i = 0; i < s; i++) { + var lNode = nodes[i]; + nodeLeft = lNode.getLeft(); + nodeRight = lNode.getRight(); + nodeTop = lNode.getTop(); + nodeBottom = lNode.getBottom(); + + if (left > nodeLeft) { + left = nodeLeft; + } + + if (right < nodeRight) { + right = nodeRight; + } + + if (top > nodeTop) { + top = nodeTop; + } + + if (bottom < nodeBottom) { + bottom = nodeBottom; + } + } + + var boundingRect = new RectangleD(left, top, right - left, bottom - top); + + return boundingRect; +}; + +LGraph.prototype.getInclusionTreeDepth = function () { + if (this == this.graphManager.getRoot()) { + return 1; + } else { + return this.parent.getInclusionTreeDepth(); + } +}; + +LGraph.prototype.getEstimatedSize = function () { + if (this.estimatedSize == Integer.MIN_VALUE) { + throw "assert failed"; + } + return this.estimatedSize; +}; + +LGraph.prototype.calcEstimatedSize = function () { + var size = 0; + var nodes = this.nodes; + var s = nodes.length; + + for (var i = 0; i < s; i++) { + var lNode = nodes[i]; + size += lNode.calcEstimatedSize(); + } + + if (size == 0) { + this.estimatedSize = LayoutConstants.EMPTY_COMPOUND_NODE_SIZE; + } else { + this.estimatedSize = size / Math.sqrt(this.nodes.length); + } + + return this.estimatedSize; +}; + +LGraph.prototype.updateConnected = function () { + var self = this; + if (this.nodes.length == 0) { + this.isConnected = true; + return; + } + + var queue = new LinkedList(); + var visited = new Set(); + var currentNode = this.nodes[0]; + var neighborEdges; + var currentNeighbor; + var childrenOfNode = currentNode.withChildren(); + childrenOfNode.forEach(function (node) { + queue.push(node); + visited.add(node); + }); + + while (queue.length !== 0) { + currentNode = queue.shift(); + + // Traverse all neighbors of this node + neighborEdges = currentNode.getEdges(); + var size = neighborEdges.length; + for (var i = 0; i < size; i++) { + var neighborEdge = neighborEdges[i]; + currentNeighbor = neighborEdge.getOtherEndInGraph(currentNode, this); + + // Add unvisited neighbors to the list to visit + if (currentNeighbor != null && !visited.has(currentNeighbor)) { + var childrenOfNeighbor = currentNeighbor.withChildren(); + + childrenOfNeighbor.forEach(function (node) { + queue.push(node); + visited.add(node); + }); + } + } + } + + this.isConnected = false; + + if (visited.size >= this.nodes.length) { + var noOfVisitedInThisGraph = 0; + + visited.forEach(function (visitedNode) { + if (visitedNode.owner == self) { + noOfVisitedInThisGraph++; + } + }); + + if (noOfVisitedInThisGraph == this.nodes.length) { + this.isConnected = true; + } + } +}; + +module.exports = LGraph; + +/***/ }), +/* 6 */ +/***/ (function(module, exports, __nested_webpack_require_27617__) { + +"use strict"; + + +var LGraph; +var LEdge = __nested_webpack_require_27617__(1); + +function LGraphManager(layout) { + LGraph = __nested_webpack_require_27617__(5); // It may be better to initilize this out of this function but it gives an error (Right-hand side of 'instanceof' is not callable) now. + this.layout = layout; + + this.graphs = []; + this.edges = []; +} + +LGraphManager.prototype.addRoot = function () { + var ngraph = this.layout.newGraph(); + var nnode = this.layout.newNode(null); + var root = this.add(ngraph, nnode); + this.setRootGraph(root); + return this.rootGraph; +}; + +LGraphManager.prototype.add = function (newGraph, parentNode, newEdge, sourceNode, targetNode) { + //there are just 2 parameters are passed then it adds an LGraph else it adds an LEdge + if (newEdge == null && sourceNode == null && targetNode == null) { + if (newGraph == null) { + throw "Graph is null!"; + } + if (parentNode == null) { + throw "Parent node is null!"; + } + if (this.graphs.indexOf(newGraph) > -1) { + throw "Graph already in this graph mgr!"; + } + + this.graphs.push(newGraph); + + if (newGraph.parent != null) { + throw "Already has a parent!"; + } + if (parentNode.child != null) { + throw "Already has a child!"; + } + + newGraph.parent = parentNode; + parentNode.child = newGraph; + + return newGraph; + } else { + //change the order of the parameters + targetNode = newEdge; + sourceNode = parentNode; + newEdge = newGraph; + var sourceGraph = sourceNode.getOwner(); + var targetGraph = targetNode.getOwner(); + + if (!(sourceGraph != null && sourceGraph.getGraphManager() == this)) { + throw "Source not in this graph mgr!"; + } + if (!(targetGraph != null && targetGraph.getGraphManager() == this)) { + throw "Target not in this graph mgr!"; + } + + if (sourceGraph == targetGraph) { + newEdge.isInterGraph = false; + return sourceGraph.add(newEdge, sourceNode, targetNode); + } else { + newEdge.isInterGraph = true; + + // set source and target + newEdge.source = sourceNode; + newEdge.target = targetNode; + + // add edge to inter-graph edge list + if (this.edges.indexOf(newEdge) > -1) { + throw "Edge already in inter-graph edge list!"; + } + + this.edges.push(newEdge); + + // add edge to source and target incidency lists + if (!(newEdge.source != null && newEdge.target != null)) { + throw "Edge source and/or target is null!"; + } + + if (!(newEdge.source.edges.indexOf(newEdge) == -1 && newEdge.target.edges.indexOf(newEdge) == -1)) { + throw "Edge already in source and/or target incidency list!"; + } + + newEdge.source.edges.push(newEdge); + newEdge.target.edges.push(newEdge); + + return newEdge; + } + } +}; + +LGraphManager.prototype.remove = function (lObj) { + if (lObj instanceof LGraph) { + var graph = lObj; + if (graph.getGraphManager() != this) { + throw "Graph not in this graph mgr"; + } + if (!(graph == this.rootGraph || graph.parent != null && graph.parent.graphManager == this)) { + throw "Invalid parent node!"; + } + + // first the edges (make a copy to do it safely) + var edgesToBeRemoved = []; + + edgesToBeRemoved = edgesToBeRemoved.concat(graph.getEdges()); + + var edge; + var s = edgesToBeRemoved.length; + for (var i = 0; i < s; i++) { + edge = edgesToBeRemoved[i]; + graph.remove(edge); + } + + // then the nodes (make a copy to do it safely) + var nodesToBeRemoved = []; + + nodesToBeRemoved = nodesToBeRemoved.concat(graph.getNodes()); + + var node; + s = nodesToBeRemoved.length; + for (var i = 0; i < s; i++) { + node = nodesToBeRemoved[i]; + graph.remove(node); + } + + // check if graph is the root + if (graph == this.rootGraph) { + this.setRootGraph(null); + } + + // now remove the graph itself + var index = this.graphs.indexOf(graph); + this.graphs.splice(index, 1); + + // also reset the parent of the graph + graph.parent = null; + } else if (lObj instanceof LEdge) { + edge = lObj; + if (edge == null) { + throw "Edge is null!"; + } + if (!edge.isInterGraph) { + throw "Not an inter-graph edge!"; + } + if (!(edge.source != null && edge.target != null)) { + throw "Source and/or target is null!"; + } + + // remove edge from source and target nodes' incidency lists + + if (!(edge.source.edges.indexOf(edge) != -1 && edge.target.edges.indexOf(edge) != -1)) { + throw "Source and/or target doesn't know this edge!"; + } + + var index = edge.source.edges.indexOf(edge); + edge.source.edges.splice(index, 1); + index = edge.target.edges.indexOf(edge); + edge.target.edges.splice(index, 1); + + // remove edge from owner graph manager's inter-graph edge list + + if (!(edge.source.owner != null && edge.source.owner.getGraphManager() != null)) { + throw "Edge owner graph or owner graph manager is null!"; + } + if (edge.source.owner.getGraphManager().edges.indexOf(edge) == -1) { + throw "Not in owner graph manager's edge list!"; + } + + var index = edge.source.owner.getGraphManager().edges.indexOf(edge); + edge.source.owner.getGraphManager().edges.splice(index, 1); + } +}; + +LGraphManager.prototype.updateBounds = function () { + this.rootGraph.updateBounds(true); +}; + +LGraphManager.prototype.getGraphs = function () { + return this.graphs; +}; + +LGraphManager.prototype.getAllNodes = function () { + if (this.allNodes == null) { + var nodeList = []; + var graphs = this.getGraphs(); + var s = graphs.length; + for (var i = 0; i < s; i++) { + nodeList = nodeList.concat(graphs[i].getNodes()); + } + this.allNodes = nodeList; + } + return this.allNodes; +}; + +LGraphManager.prototype.resetAllNodes = function () { + this.allNodes = null; +}; + +LGraphManager.prototype.resetAllEdges = function () { + this.allEdges = null; +}; + +LGraphManager.prototype.resetAllNodesToApplyGravitation = function () { + this.allNodesToApplyGravitation = null; +}; + +LGraphManager.prototype.getAllEdges = function () { + if (this.allEdges == null) { + var edgeList = []; + var graphs = this.getGraphs(); + var s = graphs.length; + for (var i = 0; i < graphs.length; i++) { + edgeList = edgeList.concat(graphs[i].getEdges()); + } + + edgeList = edgeList.concat(this.edges); + + this.allEdges = edgeList; + } + return this.allEdges; +}; + +LGraphManager.prototype.getAllNodesToApplyGravitation = function () { + return this.allNodesToApplyGravitation; +}; + +LGraphManager.prototype.setAllNodesToApplyGravitation = function (nodeList) { + if (this.allNodesToApplyGravitation != null) { + throw "assert failed"; + } + + this.allNodesToApplyGravitation = nodeList; +}; + +LGraphManager.prototype.getRoot = function () { + return this.rootGraph; +}; + +LGraphManager.prototype.setRootGraph = function (graph) { + if (graph.getGraphManager() != this) { + throw "Root not in this graph mgr!"; + } + + this.rootGraph = graph; + // root graph must have a root node associated with it for convenience + if (graph.parent == null) { + graph.parent = this.layout.newNode("Root node"); + } +}; + +LGraphManager.prototype.getLayout = function () { + return this.layout; +}; + +LGraphManager.prototype.isOneAncestorOfOther = function (firstNode, secondNode) { + if (!(firstNode != null && secondNode != null)) { + throw "assert failed"; + } + + if (firstNode == secondNode) { + return true; + } + // Is second node an ancestor of the first one? + var ownerGraph = firstNode.getOwner(); + var parentNode; + + do { + parentNode = ownerGraph.getParent(); + + if (parentNode == null) { + break; + } + + if (parentNode == secondNode) { + return true; + } + + ownerGraph = parentNode.getOwner(); + if (ownerGraph == null) { + break; + } + } while (true); + // Is first node an ancestor of the second one? + ownerGraph = secondNode.getOwner(); + + do { + parentNode = ownerGraph.getParent(); + + if (parentNode == null) { + break; + } + + if (parentNode == firstNode) { + return true; + } + + ownerGraph = parentNode.getOwner(); + if (ownerGraph == null) { + break; + } + } while (true); + + return false; +}; + +LGraphManager.prototype.calcLowestCommonAncestors = function () { + var edge; + var sourceNode; + var targetNode; + var sourceAncestorGraph; + var targetAncestorGraph; + + var edges = this.getAllEdges(); + var s = edges.length; + for (var i = 0; i < s; i++) { + edge = edges[i]; + + sourceNode = edge.source; + targetNode = edge.target; + edge.lca = null; + edge.sourceInLca = sourceNode; + edge.targetInLca = targetNode; + + if (sourceNode == targetNode) { + edge.lca = sourceNode.getOwner(); + continue; + } + + sourceAncestorGraph = sourceNode.getOwner(); + + while (edge.lca == null) { + edge.targetInLca = targetNode; + targetAncestorGraph = targetNode.getOwner(); + + while (edge.lca == null) { + if (targetAncestorGraph == sourceAncestorGraph) { + edge.lca = targetAncestorGraph; + break; + } + + if (targetAncestorGraph == this.rootGraph) { + break; + } + + if (edge.lca != null) { + throw "assert failed"; + } + edge.targetInLca = targetAncestorGraph.getParent(); + targetAncestorGraph = edge.targetInLca.getOwner(); + } + + if (sourceAncestorGraph == this.rootGraph) { + break; + } + + if (edge.lca == null) { + edge.sourceInLca = sourceAncestorGraph.getParent(); + sourceAncestorGraph = edge.sourceInLca.getOwner(); + } + } + + if (edge.lca == null) { + throw "assert failed"; + } + } +}; + +LGraphManager.prototype.calcLowestCommonAncestor = function (firstNode, secondNode) { + if (firstNode == secondNode) { + return firstNode.getOwner(); + } + var firstOwnerGraph = firstNode.getOwner(); + + do { + if (firstOwnerGraph == null) { + break; + } + var secondOwnerGraph = secondNode.getOwner(); + + do { + if (secondOwnerGraph == null) { + break; + } + + if (secondOwnerGraph == firstOwnerGraph) { + return secondOwnerGraph; + } + secondOwnerGraph = secondOwnerGraph.getParent().getOwner(); + } while (true); + + firstOwnerGraph = firstOwnerGraph.getParent().getOwner(); + } while (true); + + return firstOwnerGraph; +}; + +LGraphManager.prototype.calcInclusionTreeDepths = function (graph, depth) { + if (graph == null && depth == null) { + graph = this.rootGraph; + depth = 1; + } + var node; + + var nodes = graph.getNodes(); + var s = nodes.length; + for (var i = 0; i < s; i++) { + node = nodes[i]; + node.inclusionTreeDepth = depth; + + if (node.child != null) { + this.calcInclusionTreeDepths(node.child, depth + 1); + } + } +}; + +LGraphManager.prototype.includesInvalidEdge = function () { + var edge; + + var s = this.edges.length; + for (var i = 0; i < s; i++) { + edge = this.edges[i]; + + if (this.isOneAncestorOfOther(edge.source, edge.target)) { + return true; + } + } + return false; +}; + +module.exports = LGraphManager; + +/***/ }), +/* 7 */ +/***/ (function(module, exports, __nested_webpack_require_38707__) { + +"use strict"; + + +var LayoutConstants = __nested_webpack_require_38707__(0); + +function FDLayoutConstants() {} + +//FDLayoutConstants inherits static props in LayoutConstants +for (var prop in LayoutConstants) { + FDLayoutConstants[prop] = LayoutConstants[prop]; +} + +FDLayoutConstants.MAX_ITERATIONS = 2500; + +FDLayoutConstants.DEFAULT_EDGE_LENGTH = 50; +FDLayoutConstants.DEFAULT_SPRING_STRENGTH = 0.45; +FDLayoutConstants.DEFAULT_REPULSION_STRENGTH = 4500.0; +FDLayoutConstants.DEFAULT_GRAVITY_STRENGTH = 0.4; +FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH = 1.0; +FDLayoutConstants.DEFAULT_GRAVITY_RANGE_FACTOR = 3.8; +FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR = 1.5; +FDLayoutConstants.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION = true; +FDLayoutConstants.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION = true; +FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL = 0.3; +FDLayoutConstants.COOLING_ADAPTATION_FACTOR = 0.33; +FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT = 1000; +FDLayoutConstants.ADAPTATION_UPPER_NODE_LIMIT = 5000; +FDLayoutConstants.MAX_NODE_DISPLACEMENT_INCREMENTAL = 100.0; +FDLayoutConstants.MAX_NODE_DISPLACEMENT = FDLayoutConstants.MAX_NODE_DISPLACEMENT_INCREMENTAL * 3; +FDLayoutConstants.MIN_REPULSION_DIST = FDLayoutConstants.DEFAULT_EDGE_LENGTH / 10.0; +FDLayoutConstants.CONVERGENCE_CHECK_PERIOD = 100; +FDLayoutConstants.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR = 0.1; +FDLayoutConstants.MIN_EDGE_LENGTH = 1; +FDLayoutConstants.GRID_CALCULATION_CHECK_PERIOD = 10; + +module.exports = FDLayoutConstants; + +/***/ }), +/* 8 */ +/***/ (function(module, exports, __nested_webpack_require_40298__) { + +"use strict"; + + +/** + * This class maintains a list of static geometry related utility methods. + * + * + * Copyright: i-Vis Research Group, Bilkent University, 2007 - present + */ + +var Point = __nested_webpack_require_40298__(12); + +function IGeometry() {} + +/** + * This method calculates *half* the amount in x and y directions of the two + * input rectangles needed to separate them keeping their respective + * positioning, and returns the result in the input array. An input + * separation buffer added to the amount in both directions. We assume that + * the two rectangles do intersect. + */ +IGeometry.calcSeparationAmount = function (rectA, rectB, overlapAmount, separationBuffer) { + if (!rectA.intersects(rectB)) { + throw "assert failed"; + } + + var directions = new Array(2); + + this.decideDirectionsForOverlappingNodes(rectA, rectB, directions); + + overlapAmount[0] = Math.min(rectA.getRight(), rectB.getRight()) - Math.max(rectA.x, rectB.x); + overlapAmount[1] = Math.min(rectA.getBottom(), rectB.getBottom()) - Math.max(rectA.y, rectB.y); + + // update the overlapping amounts for the following cases: + if (rectA.getX() <= rectB.getX() && rectA.getRight() >= rectB.getRight()) { + /* Case x.1: + * + * rectA + * | | + * | _________ | + * | | | | + * |________|_______|______| + * | | + * | | + * rectB + */ + overlapAmount[0] += Math.min(rectB.getX() - rectA.getX(), rectA.getRight() - rectB.getRight()); + } else if (rectB.getX() <= rectA.getX() && rectB.getRight() >= rectA.getRight()) { + /* Case x.2: + * + * rectB + * | | + * | _________ | + * | | | | + * |________|_______|______| + * | | + * | | + * rectA + */ + overlapAmount[0] += Math.min(rectA.getX() - rectB.getX(), rectB.getRight() - rectA.getRight()); + } + if (rectA.getY() <= rectB.getY() && rectA.getBottom() >= rectB.getBottom()) { + /* Case y.1: + * ________ rectA + * | + * | + * ______|____ rectB + * | | + * | | + * ______|____| + * | + * | + * |________ + * + */ + overlapAmount[1] += Math.min(rectB.getY() - rectA.getY(), rectA.getBottom() - rectB.getBottom()); + } else if (rectB.getY() <= rectA.getY() && rectB.getBottom() >= rectA.getBottom()) { + /* Case y.2: + * ________ rectB + * | + * | + * ______|____ rectA + * | | + * | | + * ______|____| + * | + * | + * |________ + * + */ + overlapAmount[1] += Math.min(rectA.getY() - rectB.getY(), rectB.getBottom() - rectA.getBottom()); + } + + // find slope of the line passes two centers + var slope = Math.abs((rectB.getCenterY() - rectA.getCenterY()) / (rectB.getCenterX() - rectA.getCenterX())); + // if centers are overlapped + if (rectB.getCenterY() === rectA.getCenterY() && rectB.getCenterX() === rectA.getCenterX()) { + // assume the slope is 1 (45 degree) + slope = 1.0; + } + + var moveByY = slope * overlapAmount[0]; + var moveByX = overlapAmount[1] / slope; + if (overlapAmount[0] < moveByX) { + moveByX = overlapAmount[0]; + } else { + moveByY = overlapAmount[1]; + } + // return half the amount so that if each rectangle is moved by these + // amounts in opposite directions, overlap will be resolved + overlapAmount[0] = -1 * directions[0] * (moveByX / 2 + separationBuffer); + overlapAmount[1] = -1 * directions[1] * (moveByY / 2 + separationBuffer); +}; + +/** + * This method decides the separation direction of overlapping nodes + * + * if directions[0] = -1, then rectA goes left + * if directions[0] = 1, then rectA goes right + * if directions[1] = -1, then rectA goes up + * if directions[1] = 1, then rectA goes down + */ +IGeometry.decideDirectionsForOverlappingNodes = function (rectA, rectB, directions) { + if (rectA.getCenterX() < rectB.getCenterX()) { + directions[0] = -1; + } else { + directions[0] = 1; + } + + if (rectA.getCenterY() < rectB.getCenterY()) { + directions[1] = -1; + } else { + directions[1] = 1; + } +}; + +/** + * This method calculates the intersection (clipping) points of the two + * input rectangles with line segment defined by the centers of these two + * rectangles. The clipping points are saved in the input double array and + * whether or not the two rectangles overlap is returned. + */ +IGeometry.getIntersection2 = function (rectA, rectB, result) { + //result[0-1] will contain clipPoint of rectA, result[2-3] will contain clipPoint of rectB + var p1x = rectA.getCenterX(); + var p1y = rectA.getCenterY(); + var p2x = rectB.getCenterX(); + var p2y = rectB.getCenterY(); + + //if two rectangles intersect, then clipping points are centers + if (rectA.intersects(rectB)) { + result[0] = p1x; + result[1] = p1y; + result[2] = p2x; + result[3] = p2y; + return true; + } + //variables for rectA + var topLeftAx = rectA.getX(); + var topLeftAy = rectA.getY(); + var topRightAx = rectA.getRight(); + var bottomLeftAx = rectA.getX(); + var bottomLeftAy = rectA.getBottom(); + var bottomRightAx = rectA.getRight(); + var halfWidthA = rectA.getWidthHalf(); + var halfHeightA = rectA.getHeightHalf(); + //variables for rectB + var topLeftBx = rectB.getX(); + var topLeftBy = rectB.getY(); + var topRightBx = rectB.getRight(); + var bottomLeftBx = rectB.getX(); + var bottomLeftBy = rectB.getBottom(); + var bottomRightBx = rectB.getRight(); + var halfWidthB = rectB.getWidthHalf(); + var halfHeightB = rectB.getHeightHalf(); + + //flag whether clipping points are found + var clipPointAFound = false; + var clipPointBFound = false; + + // line is vertical + if (p1x === p2x) { + if (p1y > p2y) { + result[0] = p1x; + result[1] = topLeftAy; + result[2] = p2x; + result[3] = bottomLeftBy; + return false; + } else if (p1y < p2y) { + result[0] = p1x; + result[1] = bottomLeftAy; + result[2] = p2x; + result[3] = topLeftBy; + return false; + } else { + //not line, return null; + } + } + // line is horizontal + else if (p1y === p2y) { + if (p1x > p2x) { + result[0] = topLeftAx; + result[1] = p1y; + result[2] = topRightBx; + result[3] = p2y; + return false; + } else if (p1x < p2x) { + result[0] = topRightAx; + result[1] = p1y; + result[2] = topLeftBx; + result[3] = p2y; + return false; + } else { + //not valid line, return null; + } + } else { + //slopes of rectA's and rectB's diagonals + var slopeA = rectA.height / rectA.width; + var slopeB = rectB.height / rectB.width; + + //slope of line between center of rectA and center of rectB + var slopePrime = (p2y - p1y) / (p2x - p1x); + var cardinalDirectionA = void 0; + var cardinalDirectionB = void 0; + var tempPointAx = void 0; + var tempPointAy = void 0; + var tempPointBx = void 0; + var tempPointBy = void 0; + + //determine whether clipping point is the corner of nodeA + if (-slopeA === slopePrime) { + if (p1x > p2x) { + result[0] = bottomLeftAx; + result[1] = bottomLeftAy; + clipPointAFound = true; + } else { + result[0] = topRightAx; + result[1] = topLeftAy; + clipPointAFound = true; + } + } else if (slopeA === slopePrime) { + if (p1x > p2x) { + result[0] = topLeftAx; + result[1] = topLeftAy; + clipPointAFound = true; + } else { + result[0] = bottomRightAx; + result[1] = bottomLeftAy; + clipPointAFound = true; + } + } + + //determine whether clipping point is the corner of nodeB + if (-slopeB === slopePrime) { + if (p2x > p1x) { + result[2] = bottomLeftBx; + result[3] = bottomLeftBy; + clipPointBFound = true; + } else { + result[2] = topRightBx; + result[3] = topLeftBy; + clipPointBFound = true; + } + } else if (slopeB === slopePrime) { + if (p2x > p1x) { + result[2] = topLeftBx; + result[3] = topLeftBy; + clipPointBFound = true; + } else { + result[2] = bottomRightBx; + result[3] = bottomLeftBy; + clipPointBFound = true; + } + } + + //if both clipping points are corners + if (clipPointAFound && clipPointBFound) { + return false; + } + + //determine Cardinal Direction of rectangles + if (p1x > p2x) { + if (p1y > p2y) { + cardinalDirectionA = this.getCardinalDirection(slopeA, slopePrime, 4); + cardinalDirectionB = this.getCardinalDirection(slopeB, slopePrime, 2); + } else { + cardinalDirectionA = this.getCardinalDirection(-slopeA, slopePrime, 3); + cardinalDirectionB = this.getCardinalDirection(-slopeB, slopePrime, 1); + } + } else { + if (p1y > p2y) { + cardinalDirectionA = this.getCardinalDirection(-slopeA, slopePrime, 1); + cardinalDirectionB = this.getCardinalDirection(-slopeB, slopePrime, 3); + } else { + cardinalDirectionA = this.getCardinalDirection(slopeA, slopePrime, 2); + cardinalDirectionB = this.getCardinalDirection(slopeB, slopePrime, 4); + } + } + //calculate clipping Point if it is not found before + if (!clipPointAFound) { + switch (cardinalDirectionA) { + case 1: + tempPointAy = topLeftAy; + tempPointAx = p1x + -halfHeightA / slopePrime; + result[0] = tempPointAx; + result[1] = tempPointAy; + break; + case 2: + tempPointAx = bottomRightAx; + tempPointAy = p1y + halfWidthA * slopePrime; + result[0] = tempPointAx; + result[1] = tempPointAy; + break; + case 3: + tempPointAy = bottomLeftAy; + tempPointAx = p1x + halfHeightA / slopePrime; + result[0] = tempPointAx; + result[1] = tempPointAy; + break; + case 4: + tempPointAx = bottomLeftAx; + tempPointAy = p1y + -halfWidthA * slopePrime; + result[0] = tempPointAx; + result[1] = tempPointAy; + break; + } + } + if (!clipPointBFound) { + switch (cardinalDirectionB) { + case 1: + tempPointBy = topLeftBy; + tempPointBx = p2x + -halfHeightB / slopePrime; + result[2] = tempPointBx; + result[3] = tempPointBy; + break; + case 2: + tempPointBx = bottomRightBx; + tempPointBy = p2y + halfWidthB * slopePrime; + result[2] = tempPointBx; + result[3] = tempPointBy; + break; + case 3: + tempPointBy = bottomLeftBy; + tempPointBx = p2x + halfHeightB / slopePrime; + result[2] = tempPointBx; + result[3] = tempPointBy; + break; + case 4: + tempPointBx = bottomLeftBx; + tempPointBy = p2y + -halfWidthB * slopePrime; + result[2] = tempPointBx; + result[3] = tempPointBy; + break; + } + } + } + return false; +}; + +/** + * This method returns in which cardinal direction does input point stays + * 1: North + * 2: East + * 3: South + * 4: West + */ +IGeometry.getCardinalDirection = function (slope, slopePrime, line) { + if (slope > slopePrime) { + return line; + } else { + return 1 + line % 4; + } +}; + +/** + * This method calculates the intersection of the two lines defined by + * point pairs (s1,s2) and (f1,f2). + */ +IGeometry.getIntersection = function (s1, s2, f1, f2) { + if (f2 == null) { + return this.getIntersection2(s1, s2, f1); + } + + var x1 = s1.x; + var y1 = s1.y; + var x2 = s2.x; + var y2 = s2.y; + var x3 = f1.x; + var y3 = f1.y; + var x4 = f2.x; + var y4 = f2.y; + var x = void 0, + y = void 0; // intersection point + var a1 = void 0, + a2 = void 0, + b1 = void 0, + b2 = void 0, + c1 = void 0, + c2 = void 0; // coefficients of line eqns. + var denom = void 0; + + a1 = y2 - y1; + b1 = x1 - x2; + c1 = x2 * y1 - x1 * y2; // { a1*x + b1*y + c1 = 0 is line 1 } + + a2 = y4 - y3; + b2 = x3 - x4; + c2 = x4 * y3 - x3 * y4; // { a2*x + b2*y + c2 = 0 is line 2 } + + denom = a1 * b2 - a2 * b1; + + if (denom === 0) { + return null; + } + + x = (b1 * c2 - b2 * c1) / denom; + y = (a2 * c1 - a1 * c2) / denom; + + return new Point(x, y); +}; + +/** + * This method finds and returns the angle of the vector from the + x-axis + * in clockwise direction (compatible w/ Java coordinate system!). + */ +IGeometry.angleOfVector = function (Cx, Cy, Nx, Ny) { + var C_angle = void 0; + + if (Cx !== Nx) { + C_angle = Math.atan((Ny - Cy) / (Nx - Cx)); + + if (Nx < Cx) { + C_angle += Math.PI; + } else if (Ny < Cy) { + C_angle += this.TWO_PI; + } + } else if (Ny < Cy) { + C_angle = this.ONE_AND_HALF_PI; // 270 degrees + } else { + C_angle = this.HALF_PI; // 90 degrees + } + + return C_angle; +}; + +/** + * This method checks whether the given two line segments (one with point + * p1 and p2, the other with point p3 and p4) intersect at a point other + * than these points. + */ +IGeometry.doIntersect = function (p1, p2, p3, p4) { + var a = p1.x; + var b = p1.y; + var c = p2.x; + var d = p2.y; + var p = p3.x; + var q = p3.y; + var r = p4.x; + var s = p4.y; + var det = (c - a) * (s - q) - (r - p) * (d - b); + + if (det === 0) { + return false; + } else { + var lambda = ((s - q) * (r - a) + (p - r) * (s - b)) / det; + var gamma = ((b - d) * (r - a) + (c - a) * (s - b)) / det; + return 0 < lambda && lambda < 1 && 0 < gamma && gamma < 1; + } +}; + +// ----------------------------------------------------------------------------- +// Section: Class Constants +// ----------------------------------------------------------------------------- +/** + * Some useful pre-calculated constants + */ +IGeometry.HALF_PI = 0.5 * Math.PI; +IGeometry.ONE_AND_HALF_PI = 1.5 * Math.PI; +IGeometry.TWO_PI = 2.0 * Math.PI; +IGeometry.THREE_PI = 3.0 * Math.PI; + +module.exports = IGeometry; + +/***/ }), +/* 9 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function IMath() {} + +/** + * This method returns the sign of the input value. + */ +IMath.sign = function (value) { + if (value > 0) { + return 1; + } else if (value < 0) { + return -1; + } else { + return 0; + } +}; + +IMath.floor = function (value) { + return value < 0 ? Math.ceil(value) : Math.floor(value); +}; + +IMath.ceil = function (value) { + return value < 0 ? Math.floor(value) : Math.ceil(value); +}; + +module.exports = IMath; + +/***/ }), +/* 10 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function Integer() {} + +Integer.MAX_VALUE = 2147483647; +Integer.MIN_VALUE = -2147483648; + +module.exports = Integer; + +/***/ }), +/* 11 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +var nodeFrom = function nodeFrom(value) { + return { value: value, next: null, prev: null }; +}; + +var add = function add(prev, node, next, list) { + if (prev !== null) { + prev.next = node; + } else { + list.head = node; + } + + if (next !== null) { + next.prev = node; + } else { + list.tail = node; + } + + node.prev = prev; + node.next = next; + + list.length++; + + return node; +}; + +var _remove = function _remove(node, list) { + var prev = node.prev, + next = node.next; + + + if (prev !== null) { + prev.next = next; + } else { + list.head = next; + } + + if (next !== null) { + next.prev = prev; + } else { + list.tail = prev; + } + + node.prev = node.next = null; + + list.length--; + + return node; +}; + +var LinkedList = function () { + function LinkedList(vals) { + var _this = this; + + _classCallCheck(this, LinkedList); + + this.length = 0; + this.head = null; + this.tail = null; + + if (vals != null) { + vals.forEach(function (v) { + return _this.push(v); + }); + } + } + + _createClass(LinkedList, [{ + key: "size", + value: function size() { + return this.length; + } + }, { + key: "insertBefore", + value: function insertBefore(val, otherNode) { + return add(otherNode.prev, nodeFrom(val), otherNode, this); + } + }, { + key: "insertAfter", + value: function insertAfter(val, otherNode) { + return add(otherNode, nodeFrom(val), otherNode.next, this); + } + }, { + key: "insertNodeBefore", + value: function insertNodeBefore(newNode, otherNode) { + return add(otherNode.prev, newNode, otherNode, this); + } + }, { + key: "insertNodeAfter", + value: function insertNodeAfter(newNode, otherNode) { + return add(otherNode, newNode, otherNode.next, this); + } + }, { + key: "push", + value: function push(val) { + return add(this.tail, nodeFrom(val), null, this); + } + }, { + key: "unshift", + value: function unshift(val) { + return add(null, nodeFrom(val), this.head, this); + } + }, { + key: "remove", + value: function remove(node) { + return _remove(node, this); + } + }, { + key: "pop", + value: function pop() { + return _remove(this.tail, this).value; + } + }, { + key: "popNode", + value: function popNode() { + return _remove(this.tail, this); + } + }, { + key: "shift", + value: function shift() { + return _remove(this.head, this).value; + } + }, { + key: "shiftNode", + value: function shiftNode() { + return _remove(this.head, this); + } + }, { + key: "get_object_at", + value: function get_object_at(index) { + if (index <= this.length()) { + var i = 1; + var current = this.head; + while (i < index) { + current = current.next; + i++; + } + return current.value; + } + } + }, { + key: "set_object_at", + value: function set_object_at(index, value) { + if (index <= this.length()) { + var i = 1; + var current = this.head; + while (i < index) { + current = current.next; + i++; + } + current.value = value; + } + } + }]); + + return LinkedList; +}(); + +module.exports = LinkedList; + +/***/ }), +/* 12 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +/* + *This class is the javascript implementation of the Point.java class in jdk + */ +function Point(x, y, p) { + this.x = null; + this.y = null; + if (x == null && y == null && p == null) { + this.x = 0; + this.y = 0; + } else if (typeof x == 'number' && typeof y == 'number' && p == null) { + this.x = x; + this.y = y; + } else if (x.constructor.name == 'Point' && y == null && p == null) { + p = x; + this.x = p.x; + this.y = p.y; + } +} + +Point.prototype.getX = function () { + return this.x; +}; + +Point.prototype.getY = function () { + return this.y; +}; + +Point.prototype.getLocation = function () { + return new Point(this.x, this.y); +}; + +Point.prototype.setLocation = function (x, y, p) { + if (x.constructor.name == 'Point' && y == null && p == null) { + p = x; + this.setLocation(p.x, p.y); + } else if (typeof x == 'number' && typeof y == 'number' && p == null) { + //if both parameters are integer just move (x,y) location + if (parseInt(x) == x && parseInt(y) == y) { + this.move(x, y); + } else { + this.x = Math.floor(x + 0.5); + this.y = Math.floor(y + 0.5); + } + } +}; + +Point.prototype.move = function (x, y) { + this.x = x; + this.y = y; +}; + +Point.prototype.translate = function (dx, dy) { + this.x += dx; + this.y += dy; +}; + +Point.prototype.equals = function (obj) { + if (obj.constructor.name == "Point") { + var pt = obj; + return this.x == pt.x && this.y == pt.y; + } + return this == obj; +}; + +Point.prototype.toString = function () { + return new Point().constructor.name + "[x=" + this.x + ",y=" + this.y + "]"; +}; + +module.exports = Point; + +/***/ }), +/* 13 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function RectangleD(x, y, width, height) { + this.x = 0; + this.y = 0; + this.width = 0; + this.height = 0; + + if (x != null && y != null && width != null && height != null) { + this.x = x; + this.y = y; + this.width = width; + this.height = height; + } +} + +RectangleD.prototype.getX = function () { + return this.x; +}; + +RectangleD.prototype.setX = function (x) { + this.x = x; +}; + +RectangleD.prototype.getY = function () { + return this.y; +}; + +RectangleD.prototype.setY = function (y) { + this.y = y; +}; + +RectangleD.prototype.getWidth = function () { + return this.width; +}; + +RectangleD.prototype.setWidth = function (width) { + this.width = width; +}; + +RectangleD.prototype.getHeight = function () { + return this.height; +}; + +RectangleD.prototype.setHeight = function (height) { + this.height = height; +}; + +RectangleD.prototype.getRight = function () { + return this.x + this.width; +}; + +RectangleD.prototype.getBottom = function () { + return this.y + this.height; +}; + +RectangleD.prototype.intersects = function (a) { + if (this.getRight() < a.x) { + return false; + } + + if (this.getBottom() < a.y) { + return false; + } + + if (a.getRight() < this.x) { + return false; + } + + if (a.getBottom() < this.y) { + return false; + } + + return true; +}; + +RectangleD.prototype.getCenterX = function () { + return this.x + this.width / 2; +}; + +RectangleD.prototype.getMinX = function () { + return this.getX(); +}; + +RectangleD.prototype.getMaxX = function () { + return this.getX() + this.width; +}; + +RectangleD.prototype.getCenterY = function () { + return this.y + this.height / 2; +}; + +RectangleD.prototype.getMinY = function () { + return this.getY(); +}; + +RectangleD.prototype.getMaxY = function () { + return this.getY() + this.height; +}; + +RectangleD.prototype.getWidthHalf = function () { + return this.width / 2; +}; + +RectangleD.prototype.getHeightHalf = function () { + return this.height / 2; +}; + +module.exports = RectangleD; + +/***/ }), +/* 14 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +function UniqueIDGeneretor() {} + +UniqueIDGeneretor.lastID = 0; + +UniqueIDGeneretor.createID = function (obj) { + if (UniqueIDGeneretor.isPrimitive(obj)) { + return obj; + } + if (obj.uniqueID != null) { + return obj.uniqueID; + } + obj.uniqueID = UniqueIDGeneretor.getString(); + UniqueIDGeneretor.lastID++; + return obj.uniqueID; +}; + +UniqueIDGeneretor.getString = function (id) { + if (id == null) id = UniqueIDGeneretor.lastID; + return "Object#" + id + ""; +}; + +UniqueIDGeneretor.isPrimitive = function (arg) { + var type = typeof arg === "undefined" ? "undefined" : _typeof(arg); + return arg == null || type != "object" && type != "function"; +}; + +module.exports = UniqueIDGeneretor; + +/***/ }), +/* 15 */ +/***/ (function(module, exports, __nested_webpack_require_64072__) { + +"use strict"; + + +function _toConsumableArray(arr) { if (Array.isArray(arr)) { for (var i = 0, arr2 = Array(arr.length); i < arr.length; i++) { arr2[i] = arr[i]; } return arr2; } else { return Array.from(arr); } } + +var LayoutConstants = __nested_webpack_require_64072__(0); +var LGraphManager = __nested_webpack_require_64072__(6); +var LNode = __nested_webpack_require_64072__(3); +var LEdge = __nested_webpack_require_64072__(1); +var LGraph = __nested_webpack_require_64072__(5); +var PointD = __nested_webpack_require_64072__(4); +var Transform = __nested_webpack_require_64072__(17); +var Emitter = __nested_webpack_require_64072__(27); + +function Layout(isRemoteUse) { + Emitter.call(this); + + //Layout Quality: 0:draft, 1:default, 2:proof + this.layoutQuality = LayoutConstants.QUALITY; + //Whether layout should create bendpoints as needed or not + this.createBendsAsNeeded = LayoutConstants.DEFAULT_CREATE_BENDS_AS_NEEDED; + //Whether layout should be incremental or not + this.incremental = LayoutConstants.DEFAULT_INCREMENTAL; + //Whether we animate from before to after layout node positions + this.animationOnLayout = LayoutConstants.DEFAULT_ANIMATION_ON_LAYOUT; + //Whether we animate the layout process or not + this.animationDuringLayout = LayoutConstants.DEFAULT_ANIMATION_DURING_LAYOUT; + //Number iterations that should be done between two successive animations + this.animationPeriod = LayoutConstants.DEFAULT_ANIMATION_PERIOD; + /** + * Whether or not leaf nodes (non-compound nodes) are of uniform sizes. When + * they are, both spring and repulsion forces between two leaf nodes can be + * calculated without the expensive clipping point calculations, resulting + * in major speed-up. + */ + this.uniformLeafNodeSizes = LayoutConstants.DEFAULT_UNIFORM_LEAF_NODE_SIZES; + /** + * This is used for creation of bendpoints by using dummy nodes and edges. + * Maps an LEdge to its dummy bendpoint path. + */ + this.edgeToDummyNodes = new Map(); + this.graphManager = new LGraphManager(this); + this.isLayoutFinished = false; + this.isSubLayout = false; + this.isRemoteUse = false; + + if (isRemoteUse != null) { + this.isRemoteUse = isRemoteUse; + } +} + +Layout.RANDOM_SEED = 1; + +Layout.prototype = Object.create(Emitter.prototype); + +Layout.prototype.getGraphManager = function () { + return this.graphManager; +}; + +Layout.prototype.getAllNodes = function () { + return this.graphManager.getAllNodes(); +}; + +Layout.prototype.getAllEdges = function () { + return this.graphManager.getAllEdges(); +}; + +Layout.prototype.getAllNodesToApplyGravitation = function () { + return this.graphManager.getAllNodesToApplyGravitation(); +}; + +Layout.prototype.newGraphManager = function () { + var gm = new LGraphManager(this); + this.graphManager = gm; + return gm; +}; + +Layout.prototype.newGraph = function (vGraph) { + return new LGraph(null, this.graphManager, vGraph); +}; + +Layout.prototype.newNode = function (vNode) { + return new LNode(this.graphManager, vNode); +}; + +Layout.prototype.newEdge = function (vEdge) { + return new LEdge(null, null, vEdge); +}; + +Layout.prototype.checkLayoutSuccess = function () { + return this.graphManager.getRoot() == null || this.graphManager.getRoot().getNodes().length == 0 || this.graphManager.includesInvalidEdge(); +}; + +Layout.prototype.runLayout = function () { + this.isLayoutFinished = false; + + if (this.tilingPreLayout) { + this.tilingPreLayout(); + } + + this.initParameters(); + var isLayoutSuccessfull; + + if (this.checkLayoutSuccess()) { + isLayoutSuccessfull = false; + } else { + isLayoutSuccessfull = this.layout(); + } + + if (LayoutConstants.ANIMATE === 'during') { + // If this is a 'during' layout animation. Layout is not finished yet. + // We need to perform these in index.js when layout is really finished. + return false; + } + + if (isLayoutSuccessfull) { + if (!this.isSubLayout) { + this.doPostLayout(); + } + } + + if (this.tilingPostLayout) { + this.tilingPostLayout(); + } + + this.isLayoutFinished = true; + + return isLayoutSuccessfull; +}; + +/** + * This method performs the operations required after layout. + */ +Layout.prototype.doPostLayout = function () { + //assert !isSubLayout : "Should not be called on sub-layout!"; + // Propagate geometric changes to v-level objects + if (!this.incremental) { + this.transform(); + } + this.update(); +}; + +/** + * This method updates the geometry of the target graph according to + * calculated layout. + */ +Layout.prototype.update2 = function () { + // update bend points + if (this.createBendsAsNeeded) { + this.createBendpointsFromDummyNodes(); + + // reset all edges, since the topology has changed + this.graphManager.resetAllEdges(); + } + + // perform edge, node and root updates if layout is not called + // remotely + if (!this.isRemoteUse) { + // update all edges + var edge; + var allEdges = this.graphManager.getAllEdges(); + for (var i = 0; i < allEdges.length; i++) { + edge = allEdges[i]; + // this.update(edge); + } + + // recursively update nodes + var node; + var nodes = this.graphManager.getRoot().getNodes(); + for (var i = 0; i < nodes.length; i++) { + node = nodes[i]; + // this.update(node); + } + + // update root graph + this.update(this.graphManager.getRoot()); + } +}; + +Layout.prototype.update = function (obj) { + if (obj == null) { + this.update2(); + } else if (obj instanceof LNode) { + var node = obj; + if (node.getChild() != null) { + // since node is compound, recursively update child nodes + var nodes = node.getChild().getNodes(); + for (var i = 0; i < nodes.length; i++) { + update(nodes[i]); + } + } + + // if the l-level node is associated with a v-level graph object, + // then it is assumed that the v-level node implements the + // interface Updatable. + if (node.vGraphObject != null) { + // cast to Updatable without any type check + var vNode = node.vGraphObject; + + // call the update method of the interface + vNode.update(node); + } + } else if (obj instanceof LEdge) { + var edge = obj; + // if the l-level edge is associated with a v-level graph object, + // then it is assumed that the v-level edge implements the + // interface Updatable. + + if (edge.vGraphObject != null) { + // cast to Updatable without any type check + var vEdge = edge.vGraphObject; + + // call the update method of the interface + vEdge.update(edge); + } + } else if (obj instanceof LGraph) { + var graph = obj; + // if the l-level graph is associated with a v-level graph object, + // then it is assumed that the v-level object implements the + // interface Updatable. + + if (graph.vGraphObject != null) { + // cast to Updatable without any type check + var vGraph = graph.vGraphObject; + + // call the update method of the interface + vGraph.update(graph); + } + } +}; + +/** + * This method is used to set all layout parameters to default values + * determined at compile time. + */ +Layout.prototype.initParameters = function () { + if (!this.isSubLayout) { + this.layoutQuality = LayoutConstants.QUALITY; + this.animationDuringLayout = LayoutConstants.DEFAULT_ANIMATION_DURING_LAYOUT; + this.animationPeriod = LayoutConstants.DEFAULT_ANIMATION_PERIOD; + this.animationOnLayout = LayoutConstants.DEFAULT_ANIMATION_ON_LAYOUT; + this.incremental = LayoutConstants.DEFAULT_INCREMENTAL; + this.createBendsAsNeeded = LayoutConstants.DEFAULT_CREATE_BENDS_AS_NEEDED; + this.uniformLeafNodeSizes = LayoutConstants.DEFAULT_UNIFORM_LEAF_NODE_SIZES; + } + + if (this.animationDuringLayout) { + this.animationOnLayout = false; + } +}; + +Layout.prototype.transform = function (newLeftTop) { + if (newLeftTop == undefined) { + this.transform(new PointD(0, 0)); + } else { + // create a transformation object (from Eclipse to layout). When an + // inverse transform is applied, we get upper-left coordinate of the + // drawing or the root graph at given input coordinate (some margins + // already included in calculation of left-top). + + var trans = new Transform(); + var leftTop = this.graphManager.getRoot().updateLeftTop(); + + if (leftTop != null) { + trans.setWorldOrgX(newLeftTop.x); + trans.setWorldOrgY(newLeftTop.y); + + trans.setDeviceOrgX(leftTop.x); + trans.setDeviceOrgY(leftTop.y); + + var nodes = this.getAllNodes(); + var node; + + for (var i = 0; i < nodes.length; i++) { + node = nodes[i]; + node.transform(trans); + } + } + } +}; + +Layout.prototype.positionNodesRandomly = function (graph) { + + if (graph == undefined) { + //assert !this.incremental; + this.positionNodesRandomly(this.getGraphManager().getRoot()); + this.getGraphManager().getRoot().updateBounds(true); + } else { + var lNode; + var childGraph; + + var nodes = graph.getNodes(); + for (var i = 0; i < nodes.length; i++) { + lNode = nodes[i]; + childGraph = lNode.getChild(); + + if (childGraph == null) { + lNode.scatter(); + } else if (childGraph.getNodes().length == 0) { + lNode.scatter(); + } else { + this.positionNodesRandomly(childGraph); + lNode.updateBounds(); + } + } + } +}; + +/** + * This method returns a list of trees where each tree is represented as a + * list of l-nodes. The method returns a list of size 0 when: + * - The graph is not flat or + * - One of the component(s) of the graph is not a tree. + */ +Layout.prototype.getFlatForest = function () { + var flatForest = []; + var isForest = true; + + // Quick reference for all nodes in the graph manager associated with + // this layout. The list should not be changed. + var allNodes = this.graphManager.getRoot().getNodes(); + + // First be sure that the graph is flat + var isFlat = true; + + for (var i = 0; i < allNodes.length; i++) { + if (allNodes[i].getChild() != null) { + isFlat = false; + } + } + + // Return empty forest if the graph is not flat. + if (!isFlat) { + return flatForest; + } + + // Run BFS for each component of the graph. + + var visited = new Set(); + var toBeVisited = []; + var parents = new Map(); + var unProcessedNodes = []; + + unProcessedNodes = unProcessedNodes.concat(allNodes); + + // Each iteration of this loop finds a component of the graph and + // decides whether it is a tree or not. If it is a tree, adds it to the + // forest and continued with the next component. + + while (unProcessedNodes.length > 0 && isForest) { + toBeVisited.push(unProcessedNodes[0]); + + // Start the BFS. Each iteration of this loop visits a node in a + // BFS manner. + while (toBeVisited.length > 0 && isForest) { + //pool operation + var currentNode = toBeVisited[0]; + toBeVisited.splice(0, 1); + visited.add(currentNode); + + // Traverse all neighbors of this node + var neighborEdges = currentNode.getEdges(); + + for (var i = 0; i < neighborEdges.length; i++) { + var currentNeighbor = neighborEdges[i].getOtherEnd(currentNode); + + // If BFS is not growing from this neighbor. + if (parents.get(currentNode) != currentNeighbor) { + // We haven't previously visited this neighbor. + if (!visited.has(currentNeighbor)) { + toBeVisited.push(currentNeighbor); + parents.set(currentNeighbor, currentNode); + } + // Since we have previously visited this neighbor and + // this neighbor is not parent of currentNode, given + // graph contains a component that is not tree, hence + // it is not a forest. + else { + isForest = false; + break; + } + } + } + } + + // The graph contains a component that is not a tree. Empty + // previously found trees. The method will end. + if (!isForest) { + flatForest = []; + } + // Save currently visited nodes as a tree in our forest. Reset + // visited and parents lists. Continue with the next component of + // the graph, if any. + else { + var temp = [].concat(_toConsumableArray(visited)); + flatForest.push(temp); + //flatForest = flatForest.concat(temp); + //unProcessedNodes.removeAll(visited); + for (var i = 0; i < temp.length; i++) { + var value = temp[i]; + var index = unProcessedNodes.indexOf(value); + if (index > -1) { + unProcessedNodes.splice(index, 1); + } + } + visited = new Set(); + parents = new Map(); + } + } + + return flatForest; +}; + +/** + * This method creates dummy nodes (an l-level node with minimal dimensions) + * for the given edge (one per bendpoint). The existing l-level structure + * is updated accordingly. + */ +Layout.prototype.createDummyNodesForBendpoints = function (edge) { + var dummyNodes = []; + var prev = edge.source; + + var graph = this.graphManager.calcLowestCommonAncestor(edge.source, edge.target); + + for (var i = 0; i < edge.bendpoints.length; i++) { + // create new dummy node + var dummyNode = this.newNode(null); + dummyNode.setRect(new Point(0, 0), new Dimension(1, 1)); + + graph.add(dummyNode); + + // create new dummy edge between prev and dummy node + var dummyEdge = this.newEdge(null); + this.graphManager.add(dummyEdge, prev, dummyNode); + + dummyNodes.add(dummyNode); + prev = dummyNode; + } + + var dummyEdge = this.newEdge(null); + this.graphManager.add(dummyEdge, prev, edge.target); + + this.edgeToDummyNodes.set(edge, dummyNodes); + + // remove real edge from graph manager if it is inter-graph + if (edge.isInterGraph()) { + this.graphManager.remove(edge); + } + // else, remove the edge from the current graph + else { + graph.remove(edge); + } + + return dummyNodes; +}; + +/** + * This method creates bendpoints for edges from the dummy nodes + * at l-level. + */ +Layout.prototype.createBendpointsFromDummyNodes = function () { + var edges = []; + edges = edges.concat(this.graphManager.getAllEdges()); + edges = [].concat(_toConsumableArray(this.edgeToDummyNodes.keys())).concat(edges); + + for (var k = 0; k < edges.length; k++) { + var lEdge = edges[k]; + + if (lEdge.bendpoints.length > 0) { + var path = this.edgeToDummyNodes.get(lEdge); + + for (var i = 0; i < path.length; i++) { + var dummyNode = path[i]; + var p = new PointD(dummyNode.getCenterX(), dummyNode.getCenterY()); + + // update bendpoint's location according to dummy node + var ebp = lEdge.bendpoints.get(i); + ebp.x = p.x; + ebp.y = p.y; + + // remove the dummy node, dummy edges incident with this + // dummy node is also removed (within the remove method) + dummyNode.getOwner().remove(dummyNode); + } + + // add the real edge to graph + this.graphManager.add(lEdge, lEdge.source, lEdge.target); + } + } +}; + +Layout.transform = function (sliderValue, defaultValue, minDiv, maxMul) { + if (minDiv != undefined && maxMul != undefined) { + var value = defaultValue; + + if (sliderValue <= 50) { + var minValue = defaultValue / minDiv; + value -= (defaultValue - minValue) / 50 * (50 - sliderValue); + } else { + var maxValue = defaultValue * maxMul; + value += (maxValue - defaultValue) / 50 * (sliderValue - 50); + } + + return value; + } else { + var a, b; + + if (sliderValue <= 50) { + a = 9.0 * defaultValue / 500.0; + b = defaultValue / 10.0; + } else { + a = 9.0 * defaultValue / 50.0; + b = -8 * defaultValue; + } + + return a * sliderValue + b; + } +}; + +/** + * This method finds and returns the center of the given nodes, assuming + * that the given nodes form a tree in themselves. + */ +Layout.findCenterOfTree = function (nodes) { + var list = []; + list = list.concat(nodes); + + var removedNodes = []; + var remainingDegrees = new Map(); + var foundCenter = false; + var centerNode = null; + + if (list.length == 1 || list.length == 2) { + foundCenter = true; + centerNode = list[0]; + } + + for (var i = 0; i < list.length; i++) { + var node = list[i]; + var degree = node.getNeighborsList().size; + remainingDegrees.set(node, node.getNeighborsList().size); + + if (degree == 1) { + removedNodes.push(node); + } + } + + var tempList = []; + tempList = tempList.concat(removedNodes); + + while (!foundCenter) { + var tempList2 = []; + tempList2 = tempList2.concat(tempList); + tempList = []; + + for (var i = 0; i < list.length; i++) { + var node = list[i]; + + var index = list.indexOf(node); + if (index >= 0) { + list.splice(index, 1); + } + + var neighbours = node.getNeighborsList(); + + neighbours.forEach(function (neighbour) { + if (removedNodes.indexOf(neighbour) < 0) { + var otherDegree = remainingDegrees.get(neighbour); + var newDegree = otherDegree - 1; + + if (newDegree == 1) { + tempList.push(neighbour); + } + + remainingDegrees.set(neighbour, newDegree); + } + }); + } + + removedNodes = removedNodes.concat(tempList); + + if (list.length == 1 || list.length == 2) { + foundCenter = true; + centerNode = list[0]; + } + } + + return centerNode; +}; + +/** + * During the coarsening process, this layout may be referenced by two graph managers + * this setter function grants access to change the currently being used graph manager + */ +Layout.prototype.setGraphManager = function (gm) { + this.graphManager = gm; +}; + +module.exports = Layout; + +/***/ }), +/* 16 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function RandomSeed() {} +// adapted from: https://stackoverflow.com/a/19303725 +RandomSeed.seed = 1; +RandomSeed.x = 0; + +RandomSeed.nextDouble = function () { + RandomSeed.x = Math.sin(RandomSeed.seed++) * 10000; + return RandomSeed.x - Math.floor(RandomSeed.x); +}; + +module.exports = RandomSeed; + +/***/ }), +/* 17 */ +/***/ (function(module, exports, __nested_webpack_require_81860__) { + +"use strict"; + + +var PointD = __nested_webpack_require_81860__(4); + +function Transform(x, y) { + this.lworldOrgX = 0.0; + this.lworldOrgY = 0.0; + this.ldeviceOrgX = 0.0; + this.ldeviceOrgY = 0.0; + this.lworldExtX = 1.0; + this.lworldExtY = 1.0; + this.ldeviceExtX = 1.0; + this.ldeviceExtY = 1.0; +} + +Transform.prototype.getWorldOrgX = function () { + return this.lworldOrgX; +}; + +Transform.prototype.setWorldOrgX = function (wox) { + this.lworldOrgX = wox; +}; + +Transform.prototype.getWorldOrgY = function () { + return this.lworldOrgY; +}; + +Transform.prototype.setWorldOrgY = function (woy) { + this.lworldOrgY = woy; +}; + +Transform.prototype.getWorldExtX = function () { + return this.lworldExtX; +}; + +Transform.prototype.setWorldExtX = function (wex) { + this.lworldExtX = wex; +}; + +Transform.prototype.getWorldExtY = function () { + return this.lworldExtY; +}; + +Transform.prototype.setWorldExtY = function (wey) { + this.lworldExtY = wey; +}; + +/* Device related */ + +Transform.prototype.getDeviceOrgX = function () { + return this.ldeviceOrgX; +}; + +Transform.prototype.setDeviceOrgX = function (dox) { + this.ldeviceOrgX = dox; +}; + +Transform.prototype.getDeviceOrgY = function () { + return this.ldeviceOrgY; +}; + +Transform.prototype.setDeviceOrgY = function (doy) { + this.ldeviceOrgY = doy; +}; + +Transform.prototype.getDeviceExtX = function () { + return this.ldeviceExtX; +}; + +Transform.prototype.setDeviceExtX = function (dex) { + this.ldeviceExtX = dex; +}; + +Transform.prototype.getDeviceExtY = function () { + return this.ldeviceExtY; +}; + +Transform.prototype.setDeviceExtY = function (dey) { + this.ldeviceExtY = dey; +}; + +Transform.prototype.transformX = function (x) { + var xDevice = 0.0; + var worldExtX = this.lworldExtX; + if (worldExtX != 0.0) { + xDevice = this.ldeviceOrgX + (x - this.lworldOrgX) * this.ldeviceExtX / worldExtX; + } + + return xDevice; +}; + +Transform.prototype.transformY = function (y) { + var yDevice = 0.0; + var worldExtY = this.lworldExtY; + if (worldExtY != 0.0) { + yDevice = this.ldeviceOrgY + (y - this.lworldOrgY) * this.ldeviceExtY / worldExtY; + } + + return yDevice; +}; + +Transform.prototype.inverseTransformX = function (x) { + var xWorld = 0.0; + var deviceExtX = this.ldeviceExtX; + if (deviceExtX != 0.0) { + xWorld = this.lworldOrgX + (x - this.ldeviceOrgX) * this.lworldExtX / deviceExtX; + } + + return xWorld; +}; + +Transform.prototype.inverseTransformY = function (y) { + var yWorld = 0.0; + var deviceExtY = this.ldeviceExtY; + if (deviceExtY != 0.0) { + yWorld = this.lworldOrgY + (y - this.ldeviceOrgY) * this.lworldExtY / deviceExtY; + } + return yWorld; +}; + +Transform.prototype.inverseTransformPoint = function (inPoint) { + var outPoint = new PointD(this.inverseTransformX(inPoint.x), this.inverseTransformY(inPoint.y)); + return outPoint; +}; + +module.exports = Transform; + +/***/ }), +/* 18 */ +/***/ (function(module, exports, __nested_webpack_require_84747__) { + +"use strict"; + + +function _toConsumableArray(arr) { if (Array.isArray(arr)) { for (var i = 0, arr2 = Array(arr.length); i < arr.length; i++) { arr2[i] = arr[i]; } return arr2; } else { return Array.from(arr); } } + +var Layout = __nested_webpack_require_84747__(15); +var FDLayoutConstants = __nested_webpack_require_84747__(7); +var LayoutConstants = __nested_webpack_require_84747__(0); +var IGeometry = __nested_webpack_require_84747__(8); +var IMath = __nested_webpack_require_84747__(9); + +function FDLayout() { + Layout.call(this); + + this.useSmartIdealEdgeLengthCalculation = FDLayoutConstants.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION; + this.idealEdgeLength = FDLayoutConstants.DEFAULT_EDGE_LENGTH; + this.springConstant = FDLayoutConstants.DEFAULT_SPRING_STRENGTH; + this.repulsionConstant = FDLayoutConstants.DEFAULT_REPULSION_STRENGTH; + this.gravityConstant = FDLayoutConstants.DEFAULT_GRAVITY_STRENGTH; + this.compoundGravityConstant = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH; + this.gravityRangeFactor = FDLayoutConstants.DEFAULT_GRAVITY_RANGE_FACTOR; + this.compoundGravityRangeFactor = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR; + this.displacementThresholdPerNode = 3.0 * FDLayoutConstants.DEFAULT_EDGE_LENGTH / 100; + this.coolingFactor = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL; + this.initialCoolingFactor = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL; + this.totalDisplacement = 0.0; + this.oldTotalDisplacement = 0.0; + this.maxIterations = FDLayoutConstants.MAX_ITERATIONS; +} + +FDLayout.prototype = Object.create(Layout.prototype); + +for (var prop in Layout) { + FDLayout[prop] = Layout[prop]; +} + +FDLayout.prototype.initParameters = function () { + Layout.prototype.initParameters.call(this, arguments); + + this.totalIterations = 0; + this.notAnimatedIterations = 0; + + this.useFRGridVariant = FDLayoutConstants.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION; + + this.grid = []; +}; + +FDLayout.prototype.calcIdealEdgeLengths = function () { + var edge; + var lcaDepth; + var source; + var target; + var sizeOfSourceInLca; + var sizeOfTargetInLca; + + var allEdges = this.getGraphManager().getAllEdges(); + for (var i = 0; i < allEdges.length; i++) { + edge = allEdges[i]; + + edge.idealLength = this.idealEdgeLength; + + if (edge.isInterGraph) { + source = edge.getSource(); + target = edge.getTarget(); + + sizeOfSourceInLca = edge.getSourceInLca().getEstimatedSize(); + sizeOfTargetInLca = edge.getTargetInLca().getEstimatedSize(); + + if (this.useSmartIdealEdgeLengthCalculation) { + edge.idealLength += sizeOfSourceInLca + sizeOfTargetInLca - 2 * LayoutConstants.SIMPLE_NODE_SIZE; + } + + lcaDepth = edge.getLca().getInclusionTreeDepth(); + + edge.idealLength += FDLayoutConstants.DEFAULT_EDGE_LENGTH * FDLayoutConstants.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR * (source.getInclusionTreeDepth() + target.getInclusionTreeDepth() - 2 * lcaDepth); + } + } +}; + +FDLayout.prototype.initSpringEmbedder = function () { + + var s = this.getAllNodes().length; + if (this.incremental) { + if (s > FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) { + this.coolingFactor = Math.max(this.coolingFactor * FDLayoutConstants.COOLING_ADAPTATION_FACTOR, this.coolingFactor - (s - FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) / (FDLayoutConstants.ADAPTATION_UPPER_NODE_LIMIT - FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) * this.coolingFactor * (1 - FDLayoutConstants.COOLING_ADAPTATION_FACTOR)); + } + this.maxNodeDisplacement = FDLayoutConstants.MAX_NODE_DISPLACEMENT_INCREMENTAL; + } else { + if (s > FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) { + this.coolingFactor = Math.max(FDLayoutConstants.COOLING_ADAPTATION_FACTOR, 1.0 - (s - FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) / (FDLayoutConstants.ADAPTATION_UPPER_NODE_LIMIT - FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) * (1 - FDLayoutConstants.COOLING_ADAPTATION_FACTOR)); + } else { + this.coolingFactor = 1.0; + } + this.initialCoolingFactor = this.coolingFactor; + this.maxNodeDisplacement = FDLayoutConstants.MAX_NODE_DISPLACEMENT; + } + + this.maxIterations = Math.max(this.getAllNodes().length * 5, this.maxIterations); + + this.totalDisplacementThreshold = this.displacementThresholdPerNode * this.getAllNodes().length; + + this.repulsionRange = this.calcRepulsionRange(); +}; + +FDLayout.prototype.calcSpringForces = function () { + var lEdges = this.getAllEdges(); + var edge; + + for (var i = 0; i < lEdges.length; i++) { + edge = lEdges[i]; + + this.calcSpringForce(edge, edge.idealLength); + } +}; + +FDLayout.prototype.calcRepulsionForces = function () { + var gridUpdateAllowed = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : true; + var forceToNodeSurroundingUpdate = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false; + + var i, j; + var nodeA, nodeB; + var lNodes = this.getAllNodes(); + var processedNodeSet; + + if (this.useFRGridVariant) { + if (this.totalIterations % FDLayoutConstants.GRID_CALCULATION_CHECK_PERIOD == 1 && gridUpdateAllowed) { + this.updateGrid(); + } + + processedNodeSet = new Set(); + + // calculate repulsion forces between each nodes and its surrounding + for (i = 0; i < lNodes.length; i++) { + nodeA = lNodes[i]; + this.calculateRepulsionForceOfANode(nodeA, processedNodeSet, gridUpdateAllowed, forceToNodeSurroundingUpdate); + processedNodeSet.add(nodeA); + } + } else { + for (i = 0; i < lNodes.length; i++) { + nodeA = lNodes[i]; + + for (j = i + 1; j < lNodes.length; j++) { + nodeB = lNodes[j]; + + // If both nodes are not members of the same graph, skip. + if (nodeA.getOwner() != nodeB.getOwner()) { + continue; + } + + this.calcRepulsionForce(nodeA, nodeB); + } + } + } +}; + +FDLayout.prototype.calcGravitationalForces = function () { + var node; + var lNodes = this.getAllNodesToApplyGravitation(); + + for (var i = 0; i < lNodes.length; i++) { + node = lNodes[i]; + this.calcGravitationalForce(node); + } +}; + +FDLayout.prototype.moveNodes = function () { + var lNodes = this.getAllNodes(); + var node; + + for (var i = 0; i < lNodes.length; i++) { + node = lNodes[i]; + node.move(); + } +}; + +FDLayout.prototype.calcSpringForce = function (edge, idealLength) { + var sourceNode = edge.getSource(); + var targetNode = edge.getTarget(); + + var length; + var springForce; + var springForceX; + var springForceY; + + // Update edge length + if (this.uniformLeafNodeSizes && sourceNode.getChild() == null && targetNode.getChild() == null) { + edge.updateLengthSimple(); + } else { + edge.updateLength(); + + if (edge.isOverlapingSourceAndTarget) { + return; + } + } + + length = edge.getLength(); + + if (length == 0) return; + + // Calculate spring forces + springForce = this.springConstant * (length - idealLength); + + // Project force onto x and y axes + springForceX = springForce * (edge.lengthX / length); + springForceY = springForce * (edge.lengthY / length); + + // Apply forces on the end nodes + sourceNode.springForceX += springForceX; + sourceNode.springForceY += springForceY; + targetNode.springForceX -= springForceX; + targetNode.springForceY -= springForceY; +}; + +FDLayout.prototype.calcRepulsionForce = function (nodeA, nodeB) { + var rectA = nodeA.getRect(); + var rectB = nodeB.getRect(); + var overlapAmount = new Array(2); + var clipPoints = new Array(4); + var distanceX; + var distanceY; + var distanceSquared; + var distance; + var repulsionForce; + var repulsionForceX; + var repulsionForceY; + + if (rectA.intersects(rectB)) // two nodes overlap + { + // calculate separation amount in x and y directions + IGeometry.calcSeparationAmount(rectA, rectB, overlapAmount, FDLayoutConstants.DEFAULT_EDGE_LENGTH / 2.0); + + repulsionForceX = 2 * overlapAmount[0]; + repulsionForceY = 2 * overlapAmount[1]; + + var childrenConstant = nodeA.noOfChildren * nodeB.noOfChildren / (nodeA.noOfChildren + nodeB.noOfChildren); + + // Apply forces on the two nodes + nodeA.repulsionForceX -= childrenConstant * repulsionForceX; + nodeA.repulsionForceY -= childrenConstant * repulsionForceY; + nodeB.repulsionForceX += childrenConstant * repulsionForceX; + nodeB.repulsionForceY += childrenConstant * repulsionForceY; + } else // no overlap + { + // calculate distance + + if (this.uniformLeafNodeSizes && nodeA.getChild() == null && nodeB.getChild() == null) // simply base repulsion on distance of node centers + { + distanceX = rectB.getCenterX() - rectA.getCenterX(); + distanceY = rectB.getCenterY() - rectA.getCenterY(); + } else // use clipping points + { + IGeometry.getIntersection(rectA, rectB, clipPoints); + + distanceX = clipPoints[2] - clipPoints[0]; + distanceY = clipPoints[3] - clipPoints[1]; + } + + // No repulsion range. FR grid variant should take care of this. + if (Math.abs(distanceX) < FDLayoutConstants.MIN_REPULSION_DIST) { + distanceX = IMath.sign(distanceX) * FDLayoutConstants.MIN_REPULSION_DIST; + } + + if (Math.abs(distanceY) < FDLayoutConstants.MIN_REPULSION_DIST) { + distanceY = IMath.sign(distanceY) * FDLayoutConstants.MIN_REPULSION_DIST; + } + + distanceSquared = distanceX * distanceX + distanceY * distanceY; + distance = Math.sqrt(distanceSquared); + + repulsionForce = this.repulsionConstant * nodeA.noOfChildren * nodeB.noOfChildren / distanceSquared; + + // Project force onto x and y axes + repulsionForceX = repulsionForce * distanceX / distance; + repulsionForceY = repulsionForce * distanceY / distance; + + // Apply forces on the two nodes + nodeA.repulsionForceX -= repulsionForceX; + nodeA.repulsionForceY -= repulsionForceY; + nodeB.repulsionForceX += repulsionForceX; + nodeB.repulsionForceY += repulsionForceY; + } +}; + +FDLayout.prototype.calcGravitationalForce = function (node) { + var ownerGraph; + var ownerCenterX; + var ownerCenterY; + var distanceX; + var distanceY; + var absDistanceX; + var absDistanceY; + var estimatedSize; + ownerGraph = node.getOwner(); + + ownerCenterX = (ownerGraph.getRight() + ownerGraph.getLeft()) / 2; + ownerCenterY = (ownerGraph.getTop() + ownerGraph.getBottom()) / 2; + distanceX = node.getCenterX() - ownerCenterX; + distanceY = node.getCenterY() - ownerCenterY; + absDistanceX = Math.abs(distanceX) + node.getWidth() / 2; + absDistanceY = Math.abs(distanceY) + node.getHeight() / 2; + + if (node.getOwner() == this.graphManager.getRoot()) // in the root graph + { + estimatedSize = ownerGraph.getEstimatedSize() * this.gravityRangeFactor; + + if (absDistanceX > estimatedSize || absDistanceY > estimatedSize) { + node.gravitationForceX = -this.gravityConstant * distanceX; + node.gravitationForceY = -this.gravityConstant * distanceY; + } + } else // inside a compound + { + estimatedSize = ownerGraph.getEstimatedSize() * this.compoundGravityRangeFactor; + + if (absDistanceX > estimatedSize || absDistanceY > estimatedSize) { + node.gravitationForceX = -this.gravityConstant * distanceX * this.compoundGravityConstant; + node.gravitationForceY = -this.gravityConstant * distanceY * this.compoundGravityConstant; + } + } +}; + +FDLayout.prototype.isConverged = function () { + var converged; + var oscilating = false; + + if (this.totalIterations > this.maxIterations / 3) { + oscilating = Math.abs(this.totalDisplacement - this.oldTotalDisplacement) < 2; + } + + converged = this.totalDisplacement < this.totalDisplacementThreshold; + + this.oldTotalDisplacement = this.totalDisplacement; + + return converged || oscilating; +}; + +FDLayout.prototype.animate = function () { + if (this.animationDuringLayout && !this.isSubLayout) { + if (this.notAnimatedIterations == this.animationPeriod) { + this.update(); + this.notAnimatedIterations = 0; + } else { + this.notAnimatedIterations++; + } + } +}; + +//This method calculates the number of children (weight) for all nodes +FDLayout.prototype.calcNoOfChildrenForAllNodes = function () { + var node; + var allNodes = this.graphManager.getAllNodes(); + + for (var i = 0; i < allNodes.length; i++) { + node = allNodes[i]; + node.noOfChildren = node.getNoOfChildren(); + } +}; + +// ----------------------------------------------------------------------------- +// Section: FR-Grid Variant Repulsion Force Calculation +// ----------------------------------------------------------------------------- + +FDLayout.prototype.calcGrid = function (graph) { + + var sizeX = 0; + var sizeY = 0; + + sizeX = parseInt(Math.ceil((graph.getRight() - graph.getLeft()) / this.repulsionRange)); + sizeY = parseInt(Math.ceil((graph.getBottom() - graph.getTop()) / this.repulsionRange)); + + var grid = new Array(sizeX); + + for (var i = 0; i < sizeX; i++) { + grid[i] = new Array(sizeY); + } + + for (var i = 0; i < sizeX; i++) { + for (var j = 0; j < sizeY; j++) { + grid[i][j] = new Array(); + } + } + + return grid; +}; + +FDLayout.prototype.addNodeToGrid = function (v, left, top) { + + var startX = 0; + var finishX = 0; + var startY = 0; + var finishY = 0; + + startX = parseInt(Math.floor((v.getRect().x - left) / this.repulsionRange)); + finishX = parseInt(Math.floor((v.getRect().width + v.getRect().x - left) / this.repulsionRange)); + startY = parseInt(Math.floor((v.getRect().y - top) / this.repulsionRange)); + finishY = parseInt(Math.floor((v.getRect().height + v.getRect().y - top) / this.repulsionRange)); + + for (var i = startX; i <= finishX; i++) { + for (var j = startY; j <= finishY; j++) { + this.grid[i][j].push(v); + v.setGridCoordinates(startX, finishX, startY, finishY); + } + } +}; + +FDLayout.prototype.updateGrid = function () { + var i; + var nodeA; + var lNodes = this.getAllNodes(); + + this.grid = this.calcGrid(this.graphManager.getRoot()); + + // put all nodes to proper grid cells + for (i = 0; i < lNodes.length; i++) { + nodeA = lNodes[i]; + this.addNodeToGrid(nodeA, this.graphManager.getRoot().getLeft(), this.graphManager.getRoot().getTop()); + } +}; + +FDLayout.prototype.calculateRepulsionForceOfANode = function (nodeA, processedNodeSet, gridUpdateAllowed, forceToNodeSurroundingUpdate) { + + if (this.totalIterations % FDLayoutConstants.GRID_CALCULATION_CHECK_PERIOD == 1 && gridUpdateAllowed || forceToNodeSurroundingUpdate) { + var surrounding = new Set(); + nodeA.surrounding = new Array(); + var nodeB; + var grid = this.grid; + + for (var i = nodeA.startX - 1; i < nodeA.finishX + 2; i++) { + for (var j = nodeA.startY - 1; j < nodeA.finishY + 2; j++) { + if (!(i < 0 || j < 0 || i >= grid.length || j >= grid[0].length)) { + for (var k = 0; k < grid[i][j].length; k++) { + nodeB = grid[i][j][k]; + + // If both nodes are not members of the same graph, + // or both nodes are the same, skip. + if (nodeA.getOwner() != nodeB.getOwner() || nodeA == nodeB) { + continue; + } + + // check if the repulsion force between + // nodeA and nodeB has already been calculated + if (!processedNodeSet.has(nodeB) && !surrounding.has(nodeB)) { + var distanceX = Math.abs(nodeA.getCenterX() - nodeB.getCenterX()) - (nodeA.getWidth() / 2 + nodeB.getWidth() / 2); + var distanceY = Math.abs(nodeA.getCenterY() - nodeB.getCenterY()) - (nodeA.getHeight() / 2 + nodeB.getHeight() / 2); + + // if the distance between nodeA and nodeB + // is less then calculation range + if (distanceX <= this.repulsionRange && distanceY <= this.repulsionRange) { + //then add nodeB to surrounding of nodeA + surrounding.add(nodeB); + } + } + } + } + } + } + + nodeA.surrounding = [].concat(_toConsumableArray(surrounding)); + } + for (i = 0; i < nodeA.surrounding.length; i++) { + this.calcRepulsionForce(nodeA, nodeA.surrounding[i]); + } +}; + +FDLayout.prototype.calcRepulsionRange = function () { + return 0.0; +}; + +module.exports = FDLayout; + +/***/ }), +/* 19 */ +/***/ (function(module, exports, __nested_webpack_require_100902__) { + +"use strict"; + + +var LEdge = __nested_webpack_require_100902__(1); +var FDLayoutConstants = __nested_webpack_require_100902__(7); + +function FDLayoutEdge(source, target, vEdge) { + LEdge.call(this, source, target, vEdge); + this.idealLength = FDLayoutConstants.DEFAULT_EDGE_LENGTH; +} + +FDLayoutEdge.prototype = Object.create(LEdge.prototype); + +for (var prop in LEdge) { + FDLayoutEdge[prop] = LEdge[prop]; +} + +module.exports = FDLayoutEdge; + +/***/ }), +/* 20 */ +/***/ (function(module, exports, __nested_webpack_require_101387__) { + +"use strict"; + + +var LNode = __nested_webpack_require_101387__(3); + +function FDLayoutNode(gm, loc, size, vNode) { + // alternative constructor is handled inside LNode + LNode.call(this, gm, loc, size, vNode); + //Spring, repulsion and gravitational forces acting on this node + this.springForceX = 0; + this.springForceY = 0; + this.repulsionForceX = 0; + this.repulsionForceY = 0; + this.gravitationForceX = 0; + this.gravitationForceY = 0; + //Amount by which this node is to be moved in this iteration + this.displacementX = 0; + this.displacementY = 0; + + //Start and finish grid coordinates that this node is fallen into + this.startX = 0; + this.finishX = 0; + this.startY = 0; + this.finishY = 0; + + //Geometric neighbors of this node + this.surrounding = []; +} + +FDLayoutNode.prototype = Object.create(LNode.prototype); + +for (var prop in LNode) { + FDLayoutNode[prop] = LNode[prop]; +} + +FDLayoutNode.prototype.setGridCoordinates = function (_startX, _finishX, _startY, _finishY) { + this.startX = _startX; + this.finishX = _finishX; + this.startY = _startY; + this.finishY = _finishY; +}; + +module.exports = FDLayoutNode; + +/***/ }), +/* 21 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function DimensionD(width, height) { + this.width = 0; + this.height = 0; + if (width !== null && height !== null) { + this.height = height; + this.width = width; + } +} + +DimensionD.prototype.getWidth = function () { + return this.width; +}; + +DimensionD.prototype.setWidth = function (width) { + this.width = width; +}; + +DimensionD.prototype.getHeight = function () { + return this.height; +}; + +DimensionD.prototype.setHeight = function (height) { + this.height = height; +}; + +module.exports = DimensionD; + +/***/ }), +/* 22 */ +/***/ (function(module, exports, __nested_webpack_require_103173__) { + +"use strict"; + + +var UniqueIDGeneretor = __nested_webpack_require_103173__(14); + +function HashMap() { + this.map = {}; + this.keys = []; +} + +HashMap.prototype.put = function (key, value) { + var theId = UniqueIDGeneretor.createID(key); + if (!this.contains(theId)) { + this.map[theId] = value; + this.keys.push(key); + } +}; + +HashMap.prototype.contains = function (key) { + var theId = UniqueIDGeneretor.createID(key); + return this.map[key] != null; +}; + +HashMap.prototype.get = function (key) { + var theId = UniqueIDGeneretor.createID(key); + return this.map[theId]; +}; + +HashMap.prototype.keySet = function () { + return this.keys; +}; + +module.exports = HashMap; + +/***/ }), +/* 23 */ +/***/ (function(module, exports, __nested_webpack_require_103901__) { + +"use strict"; + + +var UniqueIDGeneretor = __nested_webpack_require_103901__(14); + +function HashSet() { + this.set = {}; +} +; + +HashSet.prototype.add = function (obj) { + var theId = UniqueIDGeneretor.createID(obj); + if (!this.contains(theId)) this.set[theId] = obj; +}; + +HashSet.prototype.remove = function (obj) { + delete this.set[UniqueIDGeneretor.createID(obj)]; +}; + +HashSet.prototype.clear = function () { + this.set = {}; +}; + +HashSet.prototype.contains = function (obj) { + return this.set[UniqueIDGeneretor.createID(obj)] == obj; +}; + +HashSet.prototype.isEmpty = function () { + return this.size() === 0; +}; + +HashSet.prototype.size = function () { + return Object.keys(this.set).length; +}; + +//concats this.set to the given list +HashSet.prototype.addAllTo = function (list) { + var keys = Object.keys(this.set); + var length = keys.length; + for (var i = 0; i < length; i++) { + list.push(this.set[keys[i]]); + } +}; + +HashSet.prototype.size = function () { + return Object.keys(this.set).length; +}; + +HashSet.prototype.addAll = function (list) { + var s = list.length; + for (var i = 0; i < s; i++) { + var v = list[i]; + this.add(v); + } +}; + +module.exports = HashSet; + +/***/ }), +/* 24 */ +/***/ (function(module, exports, __nested_webpack_require_105138__) { + +"use strict"; + + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +/** + * A classic Quicksort algorithm with Hoare's partition + * - Works also on LinkedList objects + * + * Copyright: i-Vis Research Group, Bilkent University, 2007 - present + */ + +var LinkedList = __nested_webpack_require_105138__(11); + +var Quicksort = function () { + function Quicksort(A, compareFunction) { + _classCallCheck(this, Quicksort); + + if (compareFunction !== null || compareFunction !== undefined) this.compareFunction = this._defaultCompareFunction; + + var length = void 0; + if (A instanceof LinkedList) length = A.size();else length = A.length; + + this._quicksort(A, 0, length - 1); + } + + _createClass(Quicksort, [{ + key: '_quicksort', + value: function _quicksort(A, p, r) { + if (p < r) { + var q = this._partition(A, p, r); + this._quicksort(A, p, q); + this._quicksort(A, q + 1, r); + } + } + }, { + key: '_partition', + value: function _partition(A, p, r) { + var x = this._get(A, p); + var i = p; + var j = r; + while (true) { + while (this.compareFunction(x, this._get(A, j))) { + j--; + }while (this.compareFunction(this._get(A, i), x)) { + i++; + }if (i < j) { + this._swap(A, i, j); + i++; + j--; + } else return j; + } + } + }, { + key: '_get', + value: function _get(object, index) { + if (object instanceof LinkedList) return object.get_object_at(index);else return object[index]; + } + }, { + key: '_set', + value: function _set(object, index, value) { + if (object instanceof LinkedList) object.set_object_at(index, value);else object[index] = value; + } + }, { + key: '_swap', + value: function _swap(A, i, j) { + var temp = this._get(A, i); + this._set(A, i, this._get(A, j)); + this._set(A, j, temp); + } + }, { + key: '_defaultCompareFunction', + value: function _defaultCompareFunction(a, b) { + return b > a; + } + }]); + + return Quicksort; +}(); + +module.exports = Quicksort; + +/***/ }), +/* 25 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +/** + * Needleman-Wunsch algorithm is an procedure to compute the optimal global alignment of two string + * sequences by S.B.Needleman and C.D.Wunsch (1970). + * + * Aside from the inputs, you can assign the scores for, + * - Match: The two characters at the current index are same. + * - Mismatch: The two characters at the current index are different. + * - Insertion/Deletion(gaps): The best alignment involves one letter aligning to a gap in the other string. + */ + +var NeedlemanWunsch = function () { + function NeedlemanWunsch(sequence1, sequence2) { + var match_score = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 1; + var mismatch_penalty = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : -1; + var gap_penalty = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : -1; + + _classCallCheck(this, NeedlemanWunsch); + + this.sequence1 = sequence1; + this.sequence2 = sequence2; + this.match_score = match_score; + this.mismatch_penalty = mismatch_penalty; + this.gap_penalty = gap_penalty; + + // Just the remove redundancy + this.iMax = sequence1.length + 1; + this.jMax = sequence2.length + 1; + + // Grid matrix of scores + this.grid = new Array(this.iMax); + for (var i = 0; i < this.iMax; i++) { + this.grid[i] = new Array(this.jMax); + + for (var j = 0; j < this.jMax; j++) { + this.grid[i][j] = 0; + } + } + + // Traceback matrix (2D array, each cell is an array of boolean values for [`Diag`, `Up`, `Left`] positions) + this.tracebackGrid = new Array(this.iMax); + for (var _i = 0; _i < this.iMax; _i++) { + this.tracebackGrid[_i] = new Array(this.jMax); + + for (var _j = 0; _j < this.jMax; _j++) { + this.tracebackGrid[_i][_j] = [null, null, null]; + } + } + + // The aligned sequences (return multiple possibilities) + this.alignments = []; + + // Final alignment score + this.score = -1; + + // Calculate scores and tracebacks + this.computeGrids(); + } + + _createClass(NeedlemanWunsch, [{ + key: "getScore", + value: function getScore() { + return this.score; + } + }, { + key: "getAlignments", + value: function getAlignments() { + return this.alignments; + } + + // Main dynamic programming procedure + + }, { + key: "computeGrids", + value: function computeGrids() { + // Fill in the first row + for (var j = 1; j < this.jMax; j++) { + this.grid[0][j] = this.grid[0][j - 1] + this.gap_penalty; + this.tracebackGrid[0][j] = [false, false, true]; + } + + // Fill in the first column + for (var i = 1; i < this.iMax; i++) { + this.grid[i][0] = this.grid[i - 1][0] + this.gap_penalty; + this.tracebackGrid[i][0] = [false, true, false]; + } + + // Fill the rest of the grid + for (var _i2 = 1; _i2 < this.iMax; _i2++) { + for (var _j2 = 1; _j2 < this.jMax; _j2++) { + // Find the max score(s) among [`Diag`, `Up`, `Left`] + var diag = void 0; + if (this.sequence1[_i2 - 1] === this.sequence2[_j2 - 1]) diag = this.grid[_i2 - 1][_j2 - 1] + this.match_score;else diag = this.grid[_i2 - 1][_j2 - 1] + this.mismatch_penalty; + + var up = this.grid[_i2 - 1][_j2] + this.gap_penalty; + var left = this.grid[_i2][_j2 - 1] + this.gap_penalty; + + // If there exists multiple max values, capture them for multiple paths + var maxOf = [diag, up, left]; + var indices = this.arrayAllMaxIndexes(maxOf); + + // Update Grids + this.grid[_i2][_j2] = maxOf[indices[0]]; + this.tracebackGrid[_i2][_j2] = [indices.includes(0), indices.includes(1), indices.includes(2)]; + } + } + + // Update alignment score + this.score = this.grid[this.iMax - 1][this.jMax - 1]; + } + + // Gets all possible valid sequence combinations + + }, { + key: "alignmentTraceback", + value: function alignmentTraceback() { + var inProcessAlignments = []; + + inProcessAlignments.push({ pos: [this.sequence1.length, this.sequence2.length], + seq1: "", + seq2: "" + }); + + while (inProcessAlignments[0]) { + var current = inProcessAlignments[0]; + var directions = this.tracebackGrid[current.pos[0]][current.pos[1]]; + + if (directions[0]) { + inProcessAlignments.push({ pos: [current.pos[0] - 1, current.pos[1] - 1], + seq1: this.sequence1[current.pos[0] - 1] + current.seq1, + seq2: this.sequence2[current.pos[1] - 1] + current.seq2 + }); + } + if (directions[1]) { + inProcessAlignments.push({ pos: [current.pos[0] - 1, current.pos[1]], + seq1: this.sequence1[current.pos[0] - 1] + current.seq1, + seq2: '-' + current.seq2 + }); + } + if (directions[2]) { + inProcessAlignments.push({ pos: [current.pos[0], current.pos[1] - 1], + seq1: '-' + current.seq1, + seq2: this.sequence2[current.pos[1] - 1] + current.seq2 + }); + } + + if (current.pos[0] === 0 && current.pos[1] === 0) this.alignments.push({ sequence1: current.seq1, + sequence2: current.seq2 + }); + + inProcessAlignments.shift(); + } + + return this.alignments; + } + + // Helper Functions + + }, { + key: "getAllIndexes", + value: function getAllIndexes(arr, val) { + var indexes = [], + i = -1; + while ((i = arr.indexOf(val, i + 1)) !== -1) { + indexes.push(i); + } + return indexes; + } + }, { + key: "arrayAllMaxIndexes", + value: function arrayAllMaxIndexes(array) { + return this.getAllIndexes(array, Math.max.apply(null, array)); + } + }]); + + return NeedlemanWunsch; +}(); + +module.exports = NeedlemanWunsch; + +/***/ }), +/* 26 */ +/***/ (function(module, exports, __nested_webpack_require_115611__) { + +"use strict"; + + +var layoutBase = function layoutBase() { + return; +}; + +layoutBase.FDLayout = __nested_webpack_require_115611__(18); +layoutBase.FDLayoutConstants = __nested_webpack_require_115611__(7); +layoutBase.FDLayoutEdge = __nested_webpack_require_115611__(19); +layoutBase.FDLayoutNode = __nested_webpack_require_115611__(20); +layoutBase.DimensionD = __nested_webpack_require_115611__(21); +layoutBase.HashMap = __nested_webpack_require_115611__(22); +layoutBase.HashSet = __nested_webpack_require_115611__(23); +layoutBase.IGeometry = __nested_webpack_require_115611__(8); +layoutBase.IMath = __nested_webpack_require_115611__(9); +layoutBase.Integer = __nested_webpack_require_115611__(10); +layoutBase.Point = __nested_webpack_require_115611__(12); +layoutBase.PointD = __nested_webpack_require_115611__(4); +layoutBase.RandomSeed = __nested_webpack_require_115611__(16); +layoutBase.RectangleD = __nested_webpack_require_115611__(13); +layoutBase.Transform = __nested_webpack_require_115611__(17); +layoutBase.UniqueIDGeneretor = __nested_webpack_require_115611__(14); +layoutBase.Quicksort = __nested_webpack_require_115611__(24); +layoutBase.LinkedList = __nested_webpack_require_115611__(11); +layoutBase.LGraphObject = __nested_webpack_require_115611__(2); +layoutBase.LGraph = __nested_webpack_require_115611__(5); +layoutBase.LEdge = __nested_webpack_require_115611__(1); +layoutBase.LGraphManager = __nested_webpack_require_115611__(6); +layoutBase.LNode = __nested_webpack_require_115611__(3); +layoutBase.Layout = __nested_webpack_require_115611__(15); +layoutBase.LayoutConstants = __nested_webpack_require_115611__(0); +layoutBase.NeedlemanWunsch = __nested_webpack_require_115611__(25); + +module.exports = layoutBase; + +/***/ }), +/* 27 */ +/***/ (function(module, exports, __webpack_require__) { + +"use strict"; + + +function Emitter() { + this.listeners = []; +} + +var p = Emitter.prototype; + +p.addListener = function (event, callback) { + this.listeners.push({ + event: event, + callback: callback + }); +}; + +p.removeListener = function (event, callback) { + for (var i = this.listeners.length; i >= 0; i--) { + var l = this.listeners[i]; + + if (l.event === event && l.callback === callback) { + this.listeners.splice(i, 1); + } + } +}; + +p.emit = function (event, data) { + for (var i = 0; i < this.listeners.length; i++) { + var l = this.listeners[i]; + + if (event === l.event) { + l.callback(data); + } + } +}; + +module.exports = Emitter; + +/***/ }) +/******/ ]); +}); + +/***/ }), + +/***/ 11276: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var hashClear = __webpack_require__(94212), + hashDelete = __webpack_require__(62688), + hashGet = __webpack_require__(43916), + hashHas = __webpack_require__(16952), + hashSet = __webpack_require__(51016); + +/** + * Creates a hash object. + * + * @private + * @constructor + * @param {Array} [entries] The key-value pairs to cache. + */ +function Hash(entries) { + var index = -1, + length = entries == null ? 0 : entries.length; + + this.clear(); + while (++index < length) { + var entry = entries[index]; + this.set(entry[0], entry[1]); + } +} + +// Add methods to `Hash`. +Hash.prototype.clear = hashClear; +Hash.prototype['delete'] = hashDelete; +Hash.prototype.get = hashGet; +Hash.prototype.has = hashHas; +Hash.prototype.set = hashSet; + +module.exports = Hash; + + +/***/ }), + +/***/ 93040: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var listCacheClear = __webpack_require__(65968), + listCacheDelete = __webpack_require__(46120), + listCacheGet = __webpack_require__(24996), + listCacheHas = __webpack_require__(82600), + listCacheSet = __webpack_require__(7336); + +/** + * Creates an list cache object. + * + * @private + * @constructor + * @param {Array} [entries] The key-value pairs to cache. + */ +function ListCache(entries) { + var index = -1, + length = entries == null ? 0 : entries.length; + + this.clear(); + while (++index < length) { + var entry = entries[index]; + this.set(entry[0], entry[1]); + } +} + +// Add methods to `ListCache`. +ListCache.prototype.clear = listCacheClear; +ListCache.prototype['delete'] = listCacheDelete; +ListCache.prototype.get = listCacheGet; +ListCache.prototype.has = listCacheHas; +ListCache.prototype.set = listCacheSet; + +module.exports = ListCache; + + +/***/ }), + +/***/ 70420: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var getNative = __webpack_require__(27892), + root = __webpack_require__(97188); + +/* Built-in method references that are verified to be native. */ +var Map = getNative(root, 'Map'); + +module.exports = Map; + + +/***/ }), + +/***/ 41476: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var mapCacheClear = __webpack_require__(98720), + mapCacheDelete = __webpack_require__(54760), + mapCacheGet = __webpack_require__(50088), + mapCacheHas = __webpack_require__(29776), + mapCacheSet = __webpack_require__(8619); + +/** + * Creates a map cache object to store key-value pairs. + * + * @private + * @constructor + * @param {Array} [entries] The key-value pairs to cache. + */ +function MapCache(entries) { + var index = -1, + length = entries == null ? 0 : entries.length; + + this.clear(); + while (++index < length) { + var entry = entries[index]; + this.set(entry[0], entry[1]); + } +} + +// Add methods to `MapCache`. +MapCache.prototype.clear = mapCacheClear; +MapCache.prototype['delete'] = mapCacheDelete; +MapCache.prototype.get = mapCacheGet; +MapCache.prototype.has = mapCacheHas; +MapCache.prototype.set = mapCacheSet; + +module.exports = MapCache; + + +/***/ }), + +/***/ 4748: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var root = __webpack_require__(97188); + +/** Built-in value references. */ +var Symbol = root.Symbol; + +module.exports = Symbol; + + +/***/ }), + +/***/ 12040: +/***/ ((module) => { + +/** + * A specialized version of `_.map` for arrays without support for iteratee + * shorthands. + * + * @private + * @param {Array} [array] The array to iterate over. + * @param {Function} iteratee The function invoked per iteration. + * @returns {Array} Returns the new mapped array. + */ +function arrayMap(array, iteratee) { + var index = -1, + length = array == null ? 0 : array.length, + result = Array(length); + + while (++index < length) { + result[index] = iteratee(array[index], index, array); + } + return result; +} + +module.exports = arrayMap; + + +/***/ }), + +/***/ 28288: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var baseAssignValue = __webpack_require__(76139), + eq = __webpack_require__(70864); + +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** Used to check objects for own properties. */ +var hasOwnProperty = objectProto.hasOwnProperty; + +/** + * Assigns `value` to `key` of `object` if the existing value is not equivalent + * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero) + * for equality comparisons. + * + * @private + * @param {Object} object The object to modify. + * @param {string} key The key of the property to assign. + * @param {*} value The value to assign. + */ +function assignValue(object, key, value) { + var objValue = object[key]; + if (!(hasOwnProperty.call(object, key) && eq(objValue, value)) || + (value === undefined && !(key in object))) { + baseAssignValue(object, key, value); + } +} + +module.exports = assignValue; + + +/***/ }), + +/***/ 56600: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var eq = __webpack_require__(70864); + +/** + * Gets the index at which the `key` is found in `array` of key-value pairs. + * + * @private + * @param {Array} array The array to inspect. + * @param {*} key The key to search for. + * @returns {number} Returns the index of the matched value, else `-1`. + */ +function assocIndexOf(array, key) { + var length = array.length; + while (length--) { + if (eq(array[length][0], key)) { + return length; + } + } + return -1; +} + +module.exports = assocIndexOf; + + +/***/ }), + +/***/ 76139: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var defineProperty = __webpack_require__(97792); + +/** + * The base implementation of `assignValue` and `assignMergeValue` without + * value checks. + * + * @private + * @param {Object} object The object to modify. + * @param {string} key The key of the property to assign. + * @param {*} value The value to assign. + */ +function baseAssignValue(object, key, value) { + if (key == '__proto__' && defineProperty) { + defineProperty(object, key, { + 'configurable': true, + 'enumerable': true, + 'value': value, + 'writable': true + }); + } else { + object[key] = value; + } +} + +module.exports = baseAssignValue; + + +/***/ }), + +/***/ 34240: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var castPath = __webpack_require__(97736), + toKey = __webpack_require__(7668); + +/** + * The base implementation of `_.get` without support for default values. + * + * @private + * @param {Object} object The object to query. + * @param {Array|string} path The path of the property to get. + * @returns {*} Returns the resolved value. + */ +function baseGet(object, path) { + path = castPath(path, object); + + var index = 0, + length = path.length; + + while (object != null && index < length) { + object = object[toKey(path[index++])]; + } + return (index && index == length) ? object : undefined; +} + +module.exports = baseGet; + + +/***/ }), + +/***/ 16944: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var Symbol = __webpack_require__(4748), + getRawTag = __webpack_require__(83284), + objectToString = __webpack_require__(73168); + +/** `Object#toString` result references. */ +var nullTag = '[object Null]', + undefinedTag = '[object Undefined]'; + +/** Built-in value references. */ +var symToStringTag = Symbol ? Symbol.toStringTag : undefined; + +/** + * The base implementation of `getTag` without fallbacks for buggy environments. + * + * @private + * @param {*} value The value to query. + * @returns {string} Returns the `toStringTag`. + */ +function baseGetTag(value) { + if (value == null) { + return value === undefined ? undefinedTag : nullTag; + } + return (symToStringTag && symToStringTag in Object(value)) + ? getRawTag(value) + : objectToString(value); +} + +module.exports = baseGetTag; + + +/***/ }), + +/***/ 44819: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var isFunction = __webpack_require__(87920), + isMasked = __webpack_require__(86084), + isObject = __webpack_require__(8940), + toSource = __webpack_require__(87456); + +/** + * Used to match `RegExp` + * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns). + */ +var reRegExpChar = /[\\^$.*+?()[\]{}|]/g; + +/** Used to detect host constructors (Safari). */ +var reIsHostCtor = /^\[object .+?Constructor\]$/; + +/** Used for built-in method references. */ +var funcProto = Function.prototype, + objectProto = Object.prototype; + +/** Used to resolve the decompiled source of functions. */ +var funcToString = funcProto.toString; + +/** Used to check objects for own properties. */ +var hasOwnProperty = objectProto.hasOwnProperty; + +/** Used to detect if a method is native. */ +var reIsNative = RegExp('^' + + funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\$&') + .replace(/hasOwnProperty|(function).*?(?=\\\()| for .+?(?=\\\])/g, '$1.*?') + '$' +); + +/** + * The base implementation of `_.isNative` without bad shim checks. + * + * @private + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is a native function, + * else `false`. + */ +function baseIsNative(value) { + if (!isObject(value) || isMasked(value)) { + return false; + } + var pattern = isFunction(value) ? reIsNative : reIsHostCtor; + return pattern.test(toSource(value)); +} + +module.exports = baseIsNative; + + +/***/ }), + +/***/ 86040: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var assignValue = __webpack_require__(28288), + castPath = __webpack_require__(97736), + isIndex = __webpack_require__(51188), + isObject = __webpack_require__(8940), + toKey = __webpack_require__(7668); + +/** + * The base implementation of `_.set`. + * + * @private + * @param {Object} object The object to modify. + * @param {Array|string} path The path of the property to set. + * @param {*} value The value to set. + * @param {Function} [customizer] The function to customize path creation. + * @returns {Object} Returns `object`. + */ +function baseSet(object, path, value, customizer) { + if (!isObject(object)) { + return object; + } + path = castPath(path, object); + + var index = -1, + length = path.length, + lastIndex = length - 1, + nested = object; + + while (nested != null && ++index < length) { + var key = toKey(path[index]), + newValue = value; + + if (key === '__proto__' || key === 'constructor' || key === 'prototype') { + return object; + } + + if (index != lastIndex) { + var objValue = nested[key]; + newValue = customizer ? customizer(objValue, key, nested) : undefined; + if (newValue === undefined) { + newValue = isObject(objValue) + ? objValue + : (isIndex(path[index + 1]) ? [] : {}); + } + } + assignValue(nested, key, newValue); + nested = nested[key]; + } + return object; +} + +module.exports = baseSet; + + +/***/ }), + +/***/ 46524: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var Symbol = __webpack_require__(4748), + arrayMap = __webpack_require__(12040), + isArray = __webpack_require__(30108), + isSymbol = __webpack_require__(77712); + +/** Used as references for various `Number` constants. */ +var INFINITY = 1 / 0; + +/** Used to convert symbols to primitives and strings. */ +var symbolProto = Symbol ? Symbol.prototype : undefined, + symbolToString = symbolProto ? symbolProto.toString : undefined; + +/** + * The base implementation of `_.toString` which doesn't convert nullish + * values to empty strings. + * + * @private + * @param {*} value The value to process. + * @returns {string} Returns the string. + */ +function baseToString(value) { + // Exit early for strings to avoid a performance hit in some environments. + if (typeof value == 'string') { + return value; + } + if (isArray(value)) { + // Recursively convert values (susceptible to call stack limits). + return arrayMap(value, baseToString) + ''; + } + if (isSymbol(value)) { + return symbolToString ? symbolToString.call(value) : ''; + } + var result = (value + ''); + return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result; +} + +module.exports = baseToString; + + +/***/ }), + +/***/ 34428: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var trimmedEndIndex = __webpack_require__(15608); + +/** Used to match leading whitespace. */ +var reTrimStart = /^\s+/; + +/** + * The base implementation of `_.trim`. + * + * @private + * @param {string} string The string to trim. + * @returns {string} Returns the trimmed string. + */ +function baseTrim(string) { + return string + ? string.slice(0, trimmedEndIndex(string) + 1).replace(reTrimStart, '') + : string; +} + +module.exports = baseTrim; + + +/***/ }), + +/***/ 97736: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var isArray = __webpack_require__(30108), + isKey = __webpack_require__(19640), + stringToPath = __webpack_require__(30976), + toString = __webpack_require__(71972); + +/** + * Casts `value` to a path array if it's not one. + * + * @private + * @param {*} value The value to inspect. + * @param {Object} [object] The object to query keys on. + * @returns {Array} Returns the cast property path array. + */ +function castPath(value, object) { + if (isArray(value)) { + return value; + } + return isKey(value, object) ? [value] : stringToPath(toString(value)); +} + +module.exports = castPath; + + +/***/ }), + +/***/ 68416: +/***/ ((module) => { + +/** + * Copies the values of `source` to `array`. + * + * @private + * @param {Array} source The array to copy values from. + * @param {Array} [array=[]] The array to copy values to. + * @returns {Array} Returns `array`. + */ +function copyArray(source, array) { + var index = -1, + length = source.length; + + array || (array = Array(length)); + while (++index < length) { + array[index] = source[index]; + } + return array; +} + +module.exports = copyArray; + + +/***/ }), + +/***/ 55280: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var root = __webpack_require__(97188); + +/** Used to detect overreaching core-js shims. */ +var coreJsData = root['__core-js_shared__']; + +module.exports = coreJsData; + + +/***/ }), + +/***/ 97792: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var getNative = __webpack_require__(27892); + +var defineProperty = (function() { + try { + var func = getNative(Object, 'defineProperty'); + func({}, '', {}); + return func; + } catch (e) {} +}()); + +module.exports = defineProperty; + + +/***/ }), + +/***/ 4848: +/***/ ((module) => { + +/** Detect free variable `global` from Node.js. */ +var freeGlobal = typeof global == 'object' && global && global.Object === Object && global; + +module.exports = freeGlobal; + + +/***/ }), + +/***/ 36068: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var isKeyable = __webpack_require__(16096); + +/** + * Gets the data for `map`. + * + * @private + * @param {Object} map The map to query. + * @param {string} key The reference key. + * @returns {*} Returns the map data. + */ +function getMapData(map, key) { + var data = map.__data__; + return isKeyable(key) + ? data[typeof key == 'string' ? 'string' : 'hash'] + : data.map; +} + +module.exports = getMapData; + + +/***/ }), + +/***/ 27892: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var baseIsNative = __webpack_require__(44819), + getValue = __webpack_require__(15692); + +/** + * Gets the native function at `key` of `object`. + * + * @private + * @param {Object} object The object to query. + * @param {string} key The key of the method to get. + * @returns {*} Returns the function if it's native, else `undefined`. + */ +function getNative(object, key) { + var value = getValue(object, key); + return baseIsNative(value) ? value : undefined; +} + +module.exports = getNative; + + +/***/ }), + +/***/ 83284: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var Symbol = __webpack_require__(4748); + +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** Used to check objects for own properties. */ +var hasOwnProperty = objectProto.hasOwnProperty; + +/** + * Used to resolve the + * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring) + * of values. + */ +var nativeObjectToString = objectProto.toString; + +/** Built-in value references. */ +var symToStringTag = Symbol ? Symbol.toStringTag : undefined; + +/** + * A specialized version of `baseGetTag` which ignores `Symbol.toStringTag` values. + * + * @private + * @param {*} value The value to query. + * @returns {string} Returns the raw `toStringTag`. + */ +function getRawTag(value) { + var isOwn = hasOwnProperty.call(value, symToStringTag), + tag = value[symToStringTag]; + + try { + value[symToStringTag] = undefined; + var unmasked = true; + } catch (e) {} + + var result = nativeObjectToString.call(value); + if (unmasked) { + if (isOwn) { + value[symToStringTag] = tag; + } else { + delete value[symToStringTag]; + } + } + return result; +} + +module.exports = getRawTag; + + +/***/ }), + +/***/ 15692: +/***/ ((module) => { + +/** + * Gets the value at `key` of `object`. + * + * @private + * @param {Object} [object] The object to query. + * @param {string} key The key of the property to get. + * @returns {*} Returns the property value. + */ +function getValue(object, key) { + return object == null ? undefined : object[key]; +} + +module.exports = getValue; + + +/***/ }), + +/***/ 94212: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var nativeCreate = __webpack_require__(45604); + +/** + * Removes all key-value entries from the hash. + * + * @private + * @name clear + * @memberOf Hash + */ +function hashClear() { + this.__data__ = nativeCreate ? nativeCreate(null) : {}; + this.size = 0; +} + +module.exports = hashClear; + + +/***/ }), + +/***/ 62688: +/***/ ((module) => { + +/** + * Removes `key` and its value from the hash. + * + * @private + * @name delete + * @memberOf Hash + * @param {Object} hash The hash to modify. + * @param {string} key The key of the value to remove. + * @returns {boolean} Returns `true` if the entry was removed, else `false`. + */ +function hashDelete(key) { + var result = this.has(key) && delete this.__data__[key]; + this.size -= result ? 1 : 0; + return result; +} + +module.exports = hashDelete; + + +/***/ }), + +/***/ 43916: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var nativeCreate = __webpack_require__(45604); + +/** Used to stand-in for `undefined` hash values. */ +var HASH_UNDEFINED = '__lodash_hash_undefined__'; + +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** Used to check objects for own properties. */ +var hasOwnProperty = objectProto.hasOwnProperty; + +/** + * Gets the hash value for `key`. + * + * @private + * @name get + * @memberOf Hash + * @param {string} key The key of the value to get. + * @returns {*} Returns the entry value. + */ +function hashGet(key) { + var data = this.__data__; + if (nativeCreate) { + var result = data[key]; + return result === HASH_UNDEFINED ? undefined : result; + } + return hasOwnProperty.call(data, key) ? data[key] : undefined; +} + +module.exports = hashGet; + + +/***/ }), + +/***/ 16952: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var nativeCreate = __webpack_require__(45604); + +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** Used to check objects for own properties. */ +var hasOwnProperty = objectProto.hasOwnProperty; + +/** + * Checks if a hash value for `key` exists. + * + * @private + * @name has + * @memberOf Hash + * @param {string} key The key of the entry to check. + * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. + */ +function hashHas(key) { + var data = this.__data__; + return nativeCreate ? (data[key] !== undefined) : hasOwnProperty.call(data, key); +} + +module.exports = hashHas; + + +/***/ }), + +/***/ 51016: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var nativeCreate = __webpack_require__(45604); + +/** Used to stand-in for `undefined` hash values. */ +var HASH_UNDEFINED = '__lodash_hash_undefined__'; + +/** + * Sets the hash `key` to `value`. + * + * @private + * @name set + * @memberOf Hash + * @param {string} key The key of the value to set. + * @param {*} value The value to set. + * @returns {Object} Returns the hash instance. + */ +function hashSet(key, value) { + var data = this.__data__; + this.size += this.has(key) ? 0 : 1; + data[key] = (nativeCreate && value === undefined) ? HASH_UNDEFINED : value; + return this; +} + +module.exports = hashSet; + + +/***/ }), + +/***/ 51188: +/***/ ((module) => { + +/** Used as references for various `Number` constants. */ +var MAX_SAFE_INTEGER = 9007199254740991; + +/** Used to detect unsigned integer values. */ +var reIsUint = /^(?:0|[1-9]\d*)$/; + +/** + * Checks if `value` is a valid array-like index. + * + * @private + * @param {*} value The value to check. + * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index. + * @returns {boolean} Returns `true` if `value` is a valid index, else `false`. + */ +function isIndex(value, length) { + var type = typeof value; + length = length == null ? MAX_SAFE_INTEGER : length; + + return !!length && + (type == 'number' || + (type != 'symbol' && reIsUint.test(value))) && + (value > -1 && value % 1 == 0 && value < length); +} + +module.exports = isIndex; + + +/***/ }), + +/***/ 19640: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var isArray = __webpack_require__(30108), + isSymbol = __webpack_require__(77712); + +/** Used to match property names within property paths. */ +var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, + reIsPlainProp = /^\w*$/; + +/** + * Checks if `value` is a property name and not a property path. + * + * @private + * @param {*} value The value to check. + * @param {Object} [object] The object to query keys on. + * @returns {boolean} Returns `true` if `value` is a property name, else `false`. + */ +function isKey(value, object) { + if (isArray(value)) { + return false; + } + var type = typeof value; + if (type == 'number' || type == 'symbol' || type == 'boolean' || + value == null || isSymbol(value)) { + return true; + } + return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || + (object != null && value in Object(object)); +} + +module.exports = isKey; + + +/***/ }), + +/***/ 16096: +/***/ ((module) => { + +/** + * Checks if `value` is suitable for use as unique object key. + * + * @private + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is suitable, else `false`. + */ +function isKeyable(value) { + var type = typeof value; + return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean') + ? (value !== '__proto__') + : (value === null); +} + +module.exports = isKeyable; + + +/***/ }), + +/***/ 86084: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var coreJsData = __webpack_require__(55280); + +/** Used to detect methods masquerading as native. */ +var maskSrcKey = (function() { + var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || ''); + return uid ? ('Symbol(src)_1.' + uid) : ''; +}()); + +/** + * Checks if `func` has its source masked. + * + * @private + * @param {Function} func The function to check. + * @returns {boolean} Returns `true` if `func` is masked, else `false`. + */ +function isMasked(func) { + return !!maskSrcKey && (maskSrcKey in func); +} + +module.exports = isMasked; + + +/***/ }), + +/***/ 65968: +/***/ ((module) => { + +/** + * Removes all key-value entries from the list cache. + * + * @private + * @name clear + * @memberOf ListCache + */ +function listCacheClear() { + this.__data__ = []; + this.size = 0; +} + +module.exports = listCacheClear; + + +/***/ }), + +/***/ 46120: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var assocIndexOf = __webpack_require__(56600); + +/** Used for built-in method references. */ +var arrayProto = Array.prototype; + +/** Built-in value references. */ +var splice = arrayProto.splice; + +/** + * Removes `key` and its value from the list cache. + * + * @private + * @name delete + * @memberOf ListCache + * @param {string} key The key of the value to remove. + * @returns {boolean} Returns `true` if the entry was removed, else `false`. + */ +function listCacheDelete(key) { + var data = this.__data__, + index = assocIndexOf(data, key); + + if (index < 0) { + return false; + } + var lastIndex = data.length - 1; + if (index == lastIndex) { + data.pop(); + } else { + splice.call(data, index, 1); + } + --this.size; + return true; +} + +module.exports = listCacheDelete; + + +/***/ }), + +/***/ 24996: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var assocIndexOf = __webpack_require__(56600); + +/** + * Gets the list cache value for `key`. + * + * @private + * @name get + * @memberOf ListCache + * @param {string} key The key of the value to get. + * @returns {*} Returns the entry value. + */ +function listCacheGet(key) { + var data = this.__data__, + index = assocIndexOf(data, key); + + return index < 0 ? undefined : data[index][1]; +} + +module.exports = listCacheGet; + + +/***/ }), + +/***/ 82600: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var assocIndexOf = __webpack_require__(56600); + +/** + * Checks if a list cache value for `key` exists. + * + * @private + * @name has + * @memberOf ListCache + * @param {string} key The key of the entry to check. + * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. + */ +function listCacheHas(key) { + return assocIndexOf(this.__data__, key) > -1; +} + +module.exports = listCacheHas; + + +/***/ }), + +/***/ 7336: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var assocIndexOf = __webpack_require__(56600); + +/** + * Sets the list cache `key` to `value`. + * + * @private + * @name set + * @memberOf ListCache + * @param {string} key The key of the value to set. + * @param {*} value The value to set. + * @returns {Object} Returns the list cache instance. + */ +function listCacheSet(key, value) { + var data = this.__data__, + index = assocIndexOf(data, key); + + if (index < 0) { + ++this.size; + data.push([key, value]); + } else { + data[index][1] = value; + } + return this; +} + +module.exports = listCacheSet; + + +/***/ }), + +/***/ 98720: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var Hash = __webpack_require__(11276), + ListCache = __webpack_require__(93040), + Map = __webpack_require__(70420); + +/** + * Removes all key-value entries from the map. + * + * @private + * @name clear + * @memberOf MapCache + */ +function mapCacheClear() { + this.size = 0; + this.__data__ = { + 'hash': new Hash, + 'map': new (Map || ListCache), + 'string': new Hash + }; +} + +module.exports = mapCacheClear; + + +/***/ }), + +/***/ 54760: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var getMapData = __webpack_require__(36068); + +/** + * Removes `key` and its value from the map. + * + * @private + * @name delete + * @memberOf MapCache + * @param {string} key The key of the value to remove. + * @returns {boolean} Returns `true` if the entry was removed, else `false`. + */ +function mapCacheDelete(key) { + var result = getMapData(this, key)['delete'](key); + this.size -= result ? 1 : 0; + return result; +} + +module.exports = mapCacheDelete; + + +/***/ }), + +/***/ 50088: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var getMapData = __webpack_require__(36068); + +/** + * Gets the map value for `key`. + * + * @private + * @name get + * @memberOf MapCache + * @param {string} key The key of the value to get. + * @returns {*} Returns the entry value. + */ +function mapCacheGet(key) { + return getMapData(this, key).get(key); +} + +module.exports = mapCacheGet; + + +/***/ }), + +/***/ 29776: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var getMapData = __webpack_require__(36068); + +/** + * Checks if a map value for `key` exists. + * + * @private + * @name has + * @memberOf MapCache + * @param {string} key The key of the entry to check. + * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. + */ +function mapCacheHas(key) { + return getMapData(this, key).has(key); +} + +module.exports = mapCacheHas; + + +/***/ }), + +/***/ 8619: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var getMapData = __webpack_require__(36068); + +/** + * Sets the map `key` to `value`. + * + * @private + * @name set + * @memberOf MapCache + * @param {string} key The key of the value to set. + * @param {*} value The value to set. + * @returns {Object} Returns the map cache instance. + */ +function mapCacheSet(key, value) { + var data = getMapData(this, key), + size = data.size; + + data.set(key, value); + this.size += data.size == size ? 0 : 1; + return this; +} + +module.exports = mapCacheSet; + + +/***/ }), + +/***/ 9032: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var memoize = __webpack_require__(1576); + +/** Used as the maximum memoize cache size. */ +var MAX_MEMOIZE_SIZE = 500; + +/** + * A specialized version of `_.memoize` which clears the memoized function's + * cache when it exceeds `MAX_MEMOIZE_SIZE`. + * + * @private + * @param {Function} func The function to have its output memoized. + * @returns {Function} Returns the new memoized function. + */ +function memoizeCapped(func) { + var result = memoize(func, function(key) { + if (cache.size === MAX_MEMOIZE_SIZE) { + cache.clear(); + } + return key; + }); + + var cache = result.cache; + return result; +} + +module.exports = memoizeCapped; + + +/***/ }), + +/***/ 45604: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var getNative = __webpack_require__(27892); + +/* Built-in method references that are verified to be native. */ +var nativeCreate = getNative(Object, 'create'); + +module.exports = nativeCreate; + + +/***/ }), + +/***/ 73168: +/***/ ((module) => { + +/** Used for built-in method references. */ +var objectProto = Object.prototype; + +/** + * Used to resolve the + * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring) + * of values. + */ +var nativeObjectToString = objectProto.toString; + +/** + * Converts `value` to a string using `Object.prototype.toString`. + * + * @private + * @param {*} value The value to convert. + * @returns {string} Returns the converted string. + */ +function objectToString(value) { + return nativeObjectToString.call(value); +} + +module.exports = objectToString; + + +/***/ }), + +/***/ 97188: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var freeGlobal = __webpack_require__(4848); + +/** Detect free variable `self`. */ +var freeSelf = typeof self == 'object' && self && self.Object === Object && self; + +/** Used as a reference to the global object. */ +var root = freeGlobal || freeSelf || Function('return this')(); + +module.exports = root; + + +/***/ }), + +/***/ 30976: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var memoizeCapped = __webpack_require__(9032); + +/** Used to match property names within property paths. */ +var rePropName = /[^.[\]]+|\[(?:(-?\d+(?:\.\d+)?)|(["'])((?:(?!\2)[^\\]|\\.)*?)\2)\]|(?=(?:\.|\[\])(?:\.|\[\]|$))/g; + +/** Used to match backslashes in property paths. */ +var reEscapeChar = /\\(\\)?/g; + +/** + * Converts `string` to a property path array. + * + * @private + * @param {string} string The string to convert. + * @returns {Array} Returns the property path array. + */ +var stringToPath = memoizeCapped(function(string) { + var result = []; + if (string.charCodeAt(0) === 46 /* . */) { + result.push(''); + } + string.replace(rePropName, function(match, number, quote, subString) { + result.push(quote ? subString.replace(reEscapeChar, '$1') : (number || match)); + }); + return result; +}); + +module.exports = stringToPath; + + +/***/ }), + +/***/ 7668: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var isSymbol = __webpack_require__(77712); + +/** Used as references for various `Number` constants. */ +var INFINITY = 1 / 0; + +/** + * Converts `value` to a string key if it's not a string or symbol. + * + * @private + * @param {*} value The value to inspect. + * @returns {string|symbol} Returns the key. + */ +function toKey(value) { + if (typeof value == 'string' || isSymbol(value)) { + return value; + } + var result = (value + ''); + return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result; +} + +module.exports = toKey; + + +/***/ }), + +/***/ 87456: +/***/ ((module) => { + +/** Used for built-in method references. */ +var funcProto = Function.prototype; + +/** Used to resolve the decompiled source of functions. */ +var funcToString = funcProto.toString; + +/** + * Converts `func` to its source code. + * + * @private + * @param {Function} func The function to convert. + * @returns {string} Returns the source code. + */ +function toSource(func) { + if (func != null) { + try { + return funcToString.call(func); + } catch (e) {} + try { + return (func + ''); + } catch (e) {} + } + return ''; +} + +module.exports = toSource; + + +/***/ }), + +/***/ 15608: +/***/ ((module) => { + +/** Used to match a single whitespace character. */ +var reWhitespace = /\s/; + +/** + * Used by `_.trim` and `_.trimEnd` to get the index of the last non-whitespace + * character of `string`. + * + * @private + * @param {string} string The string to inspect. + * @returns {number} Returns the index of the last non-whitespace character. + */ +function trimmedEndIndex(string) { + var index = string.length; + + while (index-- && reWhitespace.test(string.charAt(index))) {} + return index; +} + +module.exports = trimmedEndIndex; + + +/***/ }), + +/***/ 73336: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var isObject = __webpack_require__(8940), + now = __webpack_require__(19868), + toNumber = __webpack_require__(8472); + +/** Error message constants. */ +var FUNC_ERROR_TEXT = 'Expected a function'; + +/* Built-in method references for those with the same name as other `lodash` methods. */ +var nativeMax = Math.max, + nativeMin = Math.min; + +/** + * Creates a debounced function that delays invoking `func` until after `wait` + * milliseconds have elapsed since the last time the debounced function was + * invoked. The debounced function comes with a `cancel` method to cancel + * delayed `func` invocations and a `flush` method to immediately invoke them. + * Provide `options` to indicate whether `func` should be invoked on the + * leading and/or trailing edge of the `wait` timeout. The `func` is invoked + * with the last arguments provided to the debounced function. Subsequent + * calls to the debounced function return the result of the last `func` + * invocation. + * + * **Note:** If `leading` and `trailing` options are `true`, `func` is + * invoked on the trailing edge of the timeout only if the debounced function + * is invoked more than once during the `wait` timeout. + * + * If `wait` is `0` and `leading` is `false`, `func` invocation is deferred + * until to the next tick, similar to `setTimeout` with a timeout of `0`. + * + * See [David Corbacho's article](https://css-tricks.com/debouncing-throttling-explained-examples/) + * for details over the differences between `_.debounce` and `_.throttle`. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Function + * @param {Function} func The function to debounce. + * @param {number} [wait=0] The number of milliseconds to delay. + * @param {Object} [options={}] The options object. + * @param {boolean} [options.leading=false] + * Specify invoking on the leading edge of the timeout. + * @param {number} [options.maxWait] + * The maximum time `func` is allowed to be delayed before it's invoked. + * @param {boolean} [options.trailing=true] + * Specify invoking on the trailing edge of the timeout. + * @returns {Function} Returns the new debounced function. + * @example + * + * // Avoid costly calculations while the window size is in flux. + * jQuery(window).on('resize', _.debounce(calculateLayout, 150)); + * + * // Invoke `sendMail` when clicked, debouncing subsequent calls. + * jQuery(element).on('click', _.debounce(sendMail, 300, { + * 'leading': true, + * 'trailing': false + * })); + * + * // Ensure `batchLog` is invoked once after 1 second of debounced calls. + * var debounced = _.debounce(batchLog, 250, { 'maxWait': 1000 }); + * var source = new EventSource('/stream'); + * jQuery(source).on('message', debounced); + * + * // Cancel the trailing debounced invocation. + * jQuery(window).on('popstate', debounced.cancel); + */ +function debounce(func, wait, options) { + var lastArgs, + lastThis, + maxWait, + result, + timerId, + lastCallTime, + lastInvokeTime = 0, + leading = false, + maxing = false, + trailing = true; + + if (typeof func != 'function') { + throw new TypeError(FUNC_ERROR_TEXT); + } + wait = toNumber(wait) || 0; + if (isObject(options)) { + leading = !!options.leading; + maxing = 'maxWait' in options; + maxWait = maxing ? nativeMax(toNumber(options.maxWait) || 0, wait) : maxWait; + trailing = 'trailing' in options ? !!options.trailing : trailing; + } + + function invokeFunc(time) { + var args = lastArgs, + thisArg = lastThis; + + lastArgs = lastThis = undefined; + lastInvokeTime = time; + result = func.apply(thisArg, args); + return result; + } + + function leadingEdge(time) { + // Reset any `maxWait` timer. + lastInvokeTime = time; + // Start the timer for the trailing edge. + timerId = setTimeout(timerExpired, wait); + // Invoke the leading edge. + return leading ? invokeFunc(time) : result; + } + + function remainingWait(time) { + var timeSinceLastCall = time - lastCallTime, + timeSinceLastInvoke = time - lastInvokeTime, + timeWaiting = wait - timeSinceLastCall; + + return maxing + ? nativeMin(timeWaiting, maxWait - timeSinceLastInvoke) + : timeWaiting; + } + + function shouldInvoke(time) { + var timeSinceLastCall = time - lastCallTime, + timeSinceLastInvoke = time - lastInvokeTime; + + // Either this is the first call, activity has stopped and we're at the + // trailing edge, the system time has gone backwards and we're treating + // it as the trailing edge, or we've hit the `maxWait` limit. + return (lastCallTime === undefined || (timeSinceLastCall >= wait) || + (timeSinceLastCall < 0) || (maxing && timeSinceLastInvoke >= maxWait)); + } + + function timerExpired() { + var time = now(); + if (shouldInvoke(time)) { + return trailingEdge(time); + } + // Restart the timer. + timerId = setTimeout(timerExpired, remainingWait(time)); + } + + function trailingEdge(time) { + timerId = undefined; + + // Only invoke if we have `lastArgs` which means `func` has been + // debounced at least once. + if (trailing && lastArgs) { + return invokeFunc(time); + } + lastArgs = lastThis = undefined; + return result; + } + + function cancel() { + if (timerId !== undefined) { + clearTimeout(timerId); + } + lastInvokeTime = 0; + lastArgs = lastCallTime = lastThis = timerId = undefined; + } + + function flush() { + return timerId === undefined ? result : trailingEdge(now()); + } + + function debounced() { + var time = now(), + isInvoking = shouldInvoke(time); + + lastArgs = arguments; + lastThis = this; + lastCallTime = time; + + if (isInvoking) { + if (timerId === undefined) { + return leadingEdge(lastCallTime); + } + if (maxing) { + // Handle invocations in a tight loop. + clearTimeout(timerId); + timerId = setTimeout(timerExpired, wait); + return invokeFunc(lastCallTime); + } + } + if (timerId === undefined) { + timerId = setTimeout(timerExpired, wait); + } + return result; + } + debounced.cancel = cancel; + debounced.flush = flush; + return debounced; +} + +module.exports = debounce; + + +/***/ }), + +/***/ 70864: +/***/ ((module) => { + +/** + * Performs a + * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero) + * comparison between two values to determine if they are equivalent. + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Lang + * @param {*} value The value to compare. + * @param {*} other The other value to compare. + * @returns {boolean} Returns `true` if the values are equivalent, else `false`. + * @example + * + * var object = { 'a': 1 }; + * var other = { 'a': 1 }; + * + * _.eq(object, object); + * // => true + * + * _.eq(object, other); + * // => false + * + * _.eq('a', 'a'); + * // => true + * + * _.eq('a', Object('a')); + * // => false + * + * _.eq(NaN, NaN); + * // => true + */ +function eq(value, other) { + return value === other || (value !== value && other !== other); +} + +module.exports = eq; + + +/***/ }), + +/***/ 19448: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var baseGet = __webpack_require__(34240); + +/** + * Gets the value at `path` of `object`. If the resolved value is + * `undefined`, the `defaultValue` is returned in its place. + * + * @static + * @memberOf _ + * @since 3.7.0 + * @category Object + * @param {Object} object The object to query. + * @param {Array|string} path The path of the property to get. + * @param {*} [defaultValue] The value returned for `undefined` resolved values. + * @returns {*} Returns the resolved value. + * @example + * + * var object = { 'a': [{ 'b': { 'c': 3 } }] }; + * + * _.get(object, 'a[0].b.c'); + * // => 3 + * + * _.get(object, ['a', '0', 'b', 'c']); + * // => 3 + * + * _.get(object, 'a.b.c', 'default'); + * // => 'default' + */ +function get(object, path, defaultValue) { + var result = object == null ? undefined : baseGet(object, path); + return result === undefined ? defaultValue : result; +} + +module.exports = get; + + +/***/ }), + +/***/ 30108: +/***/ ((module) => { + +/** + * Checks if `value` is classified as an `Array` object. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is an array, else `false`. + * @example + * + * _.isArray([1, 2, 3]); + * // => true + * + * _.isArray(document.body.children); + * // => false + * + * _.isArray('abc'); + * // => false + * + * _.isArray(_.noop); + * // => false + */ +var isArray = Array.isArray; + +module.exports = isArray; + + +/***/ }), + +/***/ 87920: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var baseGetTag = __webpack_require__(16944), + isObject = __webpack_require__(8940); + +/** `Object#toString` result references. */ +var asyncTag = '[object AsyncFunction]', + funcTag = '[object Function]', + genTag = '[object GeneratorFunction]', + proxyTag = '[object Proxy]'; + +/** + * Checks if `value` is classified as a `Function` object. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is a function, else `false`. + * @example + * + * _.isFunction(_); + * // => true + * + * _.isFunction(/abc/); + * // => false + */ +function isFunction(value) { + if (!isObject(value)) { + return false; + } + // The use of `Object#toString` avoids issues with the `typeof` operator + // in Safari 9 which returns 'object' for typed arrays and other constructors. + var tag = baseGetTag(value); + return tag == funcTag || tag == genTag || tag == asyncTag || tag == proxyTag; +} + +module.exports = isFunction; + + +/***/ }), + +/***/ 8940: +/***/ ((module) => { + +/** + * Checks if `value` is the + * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types) + * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is an object, else `false`. + * @example + * + * _.isObject({}); + * // => true + * + * _.isObject([1, 2, 3]); + * // => true + * + * _.isObject(_.noop); + * // => true + * + * _.isObject(null); + * // => false + */ +function isObject(value) { + var type = typeof value; + return value != null && (type == 'object' || type == 'function'); +} + +module.exports = isObject; + + +/***/ }), + +/***/ 22892: +/***/ ((module) => { + +/** + * Checks if `value` is object-like. A value is object-like if it's not `null` + * and has a `typeof` result of "object". + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is object-like, else `false`. + * @example + * + * _.isObjectLike({}); + * // => true + * + * _.isObjectLike([1, 2, 3]); + * // => true + * + * _.isObjectLike(_.noop); + * // => false + * + * _.isObjectLike(null); + * // => false + */ +function isObjectLike(value) { + return value != null && typeof value == 'object'; +} + +module.exports = isObjectLike; + + +/***/ }), + +/***/ 77712: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var baseGetTag = __webpack_require__(16944), + isObjectLike = __webpack_require__(22892); + +/** `Object#toString` result references. */ +var symbolTag = '[object Symbol]'; + +/** + * Checks if `value` is classified as a `Symbol` primitive or object. + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Lang + * @param {*} value The value to check. + * @returns {boolean} Returns `true` if `value` is a symbol, else `false`. + * @example + * + * _.isSymbol(Symbol.iterator); + * // => true + * + * _.isSymbol('abc'); + * // => false + */ +function isSymbol(value) { + return typeof value == 'symbol' || + (isObjectLike(value) && baseGetTag(value) == symbolTag); +} + +module.exports = isSymbol; + + +/***/ }), + +/***/ 1576: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var MapCache = __webpack_require__(41476); + +/** Error message constants. */ +var FUNC_ERROR_TEXT = 'Expected a function'; + +/** + * Creates a function that memoizes the result of `func`. If `resolver` is + * provided, it determines the cache key for storing the result based on the + * arguments provided to the memoized function. By default, the first argument + * provided to the memoized function is used as the map cache key. The `func` + * is invoked with the `this` binding of the memoized function. + * + * **Note:** The cache is exposed as the `cache` property on the memoized + * function. Its creation may be customized by replacing the `_.memoize.Cache` + * constructor with one whose instances implement the + * [`Map`](http://ecma-international.org/ecma-262/7.0/#sec-properties-of-the-map-prototype-object) + * method interface of `clear`, `delete`, `get`, `has`, and `set`. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Function + * @param {Function} func The function to have its output memoized. + * @param {Function} [resolver] The function to resolve the cache key. + * @returns {Function} Returns the new memoized function. + * @example + * + * var object = { 'a': 1, 'b': 2 }; + * var other = { 'c': 3, 'd': 4 }; + * + * var values = _.memoize(_.values); + * values(object); + * // => [1, 2] + * + * values(other); + * // => [3, 4] + * + * object.a = 2; + * values(object); + * // => [1, 2] + * + * // Modify the result cache. + * values.cache.set(object, ['a', 'b']); + * values(object); + * // => ['a', 'b'] + * + * // Replace `_.memoize.Cache`. + * _.memoize.Cache = WeakMap; + */ +function memoize(func, resolver) { + if (typeof func != 'function' || (resolver != null && typeof resolver != 'function')) { + throw new TypeError(FUNC_ERROR_TEXT); + } + var memoized = function() { + var args = arguments, + key = resolver ? resolver.apply(this, args) : args[0], + cache = memoized.cache; + + if (cache.has(key)) { + return cache.get(key); + } + var result = func.apply(this, args); + memoized.cache = cache.set(key, result) || cache; + return result; + }; + memoized.cache = new (memoize.Cache || MapCache); + return memoized; +} + +// Expose `MapCache`. +memoize.Cache = MapCache; + +module.exports = memoize; + + +/***/ }), + +/***/ 19868: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var root = __webpack_require__(97188); + +/** + * Gets the timestamp of the number of milliseconds that have elapsed since + * the Unix epoch (1 January 1970 00:00:00 UTC). + * + * @static + * @memberOf _ + * @since 2.4.0 + * @category Date + * @returns {number} Returns the timestamp. + * @example + * + * _.defer(function(stamp) { + * console.log(_.now() - stamp); + * }, _.now()); + * // => Logs the number of milliseconds it took for the deferred invocation. + */ +var now = function() { + return root.Date.now(); +}; + +module.exports = now; + + +/***/ }), + +/***/ 32552: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var baseSet = __webpack_require__(86040); + +/** + * Sets the value at `path` of `object`. If a portion of `path` doesn't exist, + * it's created. Arrays are created for missing index properties while objects + * are created for all other missing properties. Use `_.setWith` to customize + * `path` creation. + * + * **Note:** This method mutates `object`. + * + * @static + * @memberOf _ + * @since 3.7.0 + * @category Object + * @param {Object} object The object to modify. + * @param {Array|string} path The path of the property to set. + * @param {*} value The value to set. + * @returns {Object} Returns `object`. + * @example + * + * var object = { 'a': [{ 'b': { 'c': 3 } }] }; + * + * _.set(object, 'a[0].b.c', 4); + * console.log(object.a[0].b.c); + * // => 4 + * + * _.set(object, ['x', '0', 'y', 'z'], 5); + * console.log(object.x[0].y.z); + * // => 5 + */ +function set(object, path, value) { + return object == null ? object : baseSet(object, path, value); +} + +module.exports = set; + + +/***/ }), + +/***/ 8472: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var baseTrim = __webpack_require__(34428), + isObject = __webpack_require__(8940), + isSymbol = __webpack_require__(77712); + +/** Used as references for various `Number` constants. */ +var NAN = 0 / 0; + +/** Used to detect bad signed hexadecimal string values. */ +var reIsBadHex = /^[-+]0x[0-9a-f]+$/i; + +/** Used to detect binary string values. */ +var reIsBinary = /^0b[01]+$/i; + +/** Used to detect octal string values. */ +var reIsOctal = /^0o[0-7]+$/i; + +/** Built-in method references without a dependency on `root`. */ +var freeParseInt = parseInt; + +/** + * Converts `value` to a number. + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Lang + * @param {*} value The value to process. + * @returns {number} Returns the number. + * @example + * + * _.toNumber(3.2); + * // => 3.2 + * + * _.toNumber(Number.MIN_VALUE); + * // => 5e-324 + * + * _.toNumber(Infinity); + * // => Infinity + * + * _.toNumber('3.2'); + * // => 3.2 + */ +function toNumber(value) { + if (typeof value == 'number') { + return value; + } + if (isSymbol(value)) { + return NAN; + } + if (isObject(value)) { + var other = typeof value.valueOf == 'function' ? value.valueOf() : value; + value = isObject(other) ? (other + '') : other; + } + if (typeof value != 'string') { + return value === 0 ? value : +value; + } + value = baseTrim(value); + var isBinary = reIsBinary.test(value); + return (isBinary || reIsOctal.test(value)) + ? freeParseInt(value.slice(2), isBinary ? 2 : 8) + : (reIsBadHex.test(value) ? NAN : +value); +} + +module.exports = toNumber; + + +/***/ }), + +/***/ 51768: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var arrayMap = __webpack_require__(12040), + copyArray = __webpack_require__(68416), + isArray = __webpack_require__(30108), + isSymbol = __webpack_require__(77712), + stringToPath = __webpack_require__(30976), + toKey = __webpack_require__(7668), + toString = __webpack_require__(71972); + +/** + * Converts `value` to a property path array. + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Util + * @param {*} value The value to convert. + * @returns {Array} Returns the new property path array. + * @example + * + * _.toPath('a.b.c'); + * // => ['a', 'b', 'c'] + * + * _.toPath('a[0].b.c'); + * // => ['a', '0', 'b', 'c'] + */ +function toPath(value) { + if (isArray(value)) { + return arrayMap(value, toKey); + } + return isSymbol(value) ? [value] : copyArray(stringToPath(toString(value))); +} + +module.exports = toPath; + + +/***/ }), + +/***/ 71972: +/***/ ((module, __unused_webpack_exports, __webpack_require__) => { + +var baseToString = __webpack_require__(46524); + +/** + * Converts `value` to a string. An empty string is returned for `null` + * and `undefined` values. The sign of `-0` is preserved. + * + * @static + * @memberOf _ + * @since 4.0.0 + * @category Lang + * @param {*} value The value to convert. + * @returns {string} Returns the converted string. + * @example + * + * _.toString(null); + * // => '' + * + * _.toString(-0); + * // => '-0' + * + * _.toString([1, 2, 3]); + * // => '1,2,3' + */ +function toString(value) { + return value == null ? '' : baseToString(value); +} + +module.exports = toString; + + +/***/ }), + +/***/ 73748: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +"use strict"; + +// EXPORTS +__webpack_require__.d(__webpack_exports__, { + a: () => (/* binding */ createText), + c: () => (/* binding */ computeDimensionOfText) +}); + +// NAMESPACE OBJECT: ./node_modules/mermaid/node_modules/micromark/lib/constructs.js +var constructs_namespaceObject = {}; +__webpack_require__.r(constructs_namespaceObject); +__webpack_require__.d(constructs_namespaceObject, { + attentionMarkers: () => (attentionMarkers), + contentInitial: () => (contentInitial), + disable: () => (disable), + document: () => (constructs_document), + flow: () => (constructs_flow), + flowInitial: () => (flowInitial), + insideSpan: () => (insideSpan), + string: () => (constructs_string), + text: () => (constructs_text) +}); + +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js +/** + * @typedef {import('mdast').Root|import('mdast').Content} Node + * + * @typedef Options + * Configuration (optional). + * @property {boolean | null | undefined} [includeImageAlt=true] + * Whether to use `alt` for `image`s. + * @property {boolean | null | undefined} [includeHtml=true] + * Whether to use `value` of HTML. + */ + +/** @type {Options} */ +const emptyOptions = {} + +/** + * Get the text content of a node or list of nodes. + * + * Prefers the node’s plain-text fields, otherwise serializes its children, + * and if the given value is an array, serialize the nodes in it. + * + * @param {unknown} value + * Thing to serialize, typically `Node`. + * @param {Options | null | undefined} [options] + * Configuration (optional). + * @returns {string} + * Serialized `value`. + */ +function lib_toString(value, options) { + const settings = options || emptyOptions + const includeImageAlt = + typeof settings.includeImageAlt === 'boolean' + ? settings.includeImageAlt + : true + const includeHtml = + typeof settings.includeHtml === 'boolean' ? settings.includeHtml : true + + return one(value, includeImageAlt, includeHtml) +} + +/** + * One node or several nodes. + * + * @param {unknown} value + * Thing to serialize. + * @param {boolean} includeImageAlt + * Include image `alt`s. + * @param {boolean} includeHtml + * Include HTML. + * @returns {string} + * Serialized node. + */ +function one(value, includeImageAlt, includeHtml) { + if (node(value)) { + if ('value' in value) { + return value.type === 'html' && !includeHtml ? '' : value.value + } + + if (includeImageAlt && 'alt' in value && value.alt) { + return value.alt + } + + if ('children' in value) { + return lib_all(value.children, includeImageAlt, includeHtml) + } + } + + if (Array.isArray(value)) { + return lib_all(value, includeImageAlt, includeHtml) + } + + return '' +} + +/** + * Serialize a list of nodes. + * + * @param {Array<unknown>} values + * Thing to serialize. + * @param {boolean} includeImageAlt + * Include image `alt`s. + * @param {boolean} includeHtml + * Include HTML. + * @returns {string} + * Serialized nodes. + */ +function lib_all(values, includeImageAlt, includeHtml) { + /** @type {Array<string>} */ + const result = [] + let index = -1 + + while (++index < values.length) { + result[index] = one(values[index], includeImageAlt, includeHtml) + } + + return result.join('') +} + +/** + * Check if `value` looks like a node. + * + * @param {unknown} value + * Thing. + * @returns {value is Node} + * Whether `value` is a node. + */ +function node(value) { + return Boolean(value && typeof value === 'object') +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-chunked/index.js +/** + * Like `Array#splice`, but smarter for giant arrays. + * + * `Array#splice` takes all items to be inserted as individual argument which + * causes a stack overflow in V8 when trying to insert 100k items for instance. + * + * Otherwise, this does not return the removed items, and takes `items` as an + * array instead of rest parameters. + * + * @template {unknown} T + * Item type. + * @param {Array<T>} list + * List to operate on. + * @param {number} start + * Index to remove/insert at (can be negative). + * @param {number} remove + * Number of items to remove. + * @param {Array<T>} items + * Items to inject into `list`. + * @returns {void} + * Nothing. + */ +function splice(list, start, remove, items) { + const end = list.length + let chunkStart = 0 + /** @type {Array<unknown>} */ + let parameters + + // Make start between zero and `end` (included). + if (start < 0) { + start = -start > end ? 0 : end + start + } else { + start = start > end ? end : start + } + remove = remove > 0 ? remove : 0 + + // No need to chunk the items if there’s only a couple (10k) items. + if (items.length < 10000) { + parameters = Array.from(items) + parameters.unshift(start, remove) + // @ts-expect-error Hush, it’s fine. + list.splice(...parameters) + } else { + // Delete `remove` items starting from `start` + if (remove) list.splice(start, remove) + + // Insert the items in chunks to not cause stack overflows. + while (chunkStart < items.length) { + parameters = items.slice(chunkStart, chunkStart + 10000) + parameters.unshift(start, 0) + // @ts-expect-error Hush, it’s fine. + list.splice(...parameters) + chunkStart += 10000 + start += 10000 + } + } +} + +/** + * Append `items` (an array) at the end of `list` (another array). + * When `list` was empty, returns `items` instead. + * + * This prevents a potentially expensive operation when `list` is empty, + * and adds items in batches to prevent V8 from hanging. + * + * @template {unknown} T + * Item type. + * @param {Array<T>} list + * List to operate on. + * @param {Array<T>} items + * Items to add to `list`. + * @returns {Array<T>} + * Either `list` or `items`. + */ +function push(list, items) { + if (list.length > 0) { + splice(list, list.length, 0, items) + return list + } + return items +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-combine-extensions/index.js +/** + * @typedef {import('micromark-util-types').Extension} Extension + * @typedef {import('micromark-util-types').Handles} Handles + * @typedef {import('micromark-util-types').HtmlExtension} HtmlExtension + * @typedef {import('micromark-util-types').NormalizedExtension} NormalizedExtension + */ + + + +const micromark_util_combine_extensions_hasOwnProperty = {}.hasOwnProperty + +/** + * Combine multiple syntax extensions into one. + * + * @param {Array<Extension>} extensions + * List of syntax extensions. + * @returns {NormalizedExtension} + * A single combined extension. + */ +function combineExtensions(extensions) { + /** @type {NormalizedExtension} */ + const all = {} + let index = -1 + + while (++index < extensions.length) { + syntaxExtension(all, extensions[index]) + } + + return all +} + +/** + * Merge `extension` into `all`. + * + * @param {NormalizedExtension} all + * Extension to merge into. + * @param {Extension} extension + * Extension to merge. + * @returns {void} + */ +function syntaxExtension(all, extension) { + /** @type {keyof Extension} */ + let hook + + for (hook in extension) { + const maybe = micromark_util_combine_extensions_hasOwnProperty.call(all, hook) ? all[hook] : undefined + /** @type {Record<string, unknown>} */ + const left = maybe || (all[hook] = {}) + /** @type {Record<string, unknown> | undefined} */ + const right = extension[hook] + /** @type {string} */ + let code + + if (right) { + for (code in right) { + if (!micromark_util_combine_extensions_hasOwnProperty.call(left, code)) left[code] = [] + const value = right[code] + constructs( + // @ts-expect-error Looks like a list. + left[code], + Array.isArray(value) ? value : value ? [value] : [] + ) + } + } + } +} + +/** + * Merge `list` into `existing` (both lists of constructs). + * Mutates `existing`. + * + * @param {Array<unknown>} existing + * @param {Array<unknown>} list + * @returns {void} + */ +function constructs(existing, list) { + let index = -1 + /** @type {Array<unknown>} */ + const before = [] + + while (++index < list.length) { + // @ts-expect-error Looks like an object. + ;(list[index].add === 'after' ? existing : before).push(list[index]) + } + + splice(existing, 0, 0, before) +} + +/** + * Combine multiple HTML extensions into one. + * + * @param {Array<HtmlExtension>} htmlExtensions + * List of HTML extensions. + * @returns {HtmlExtension} + * A single combined HTML extension. + */ +function combineHtmlExtensions(htmlExtensions) { + /** @type {HtmlExtension} */ + const handlers = {} + let index = -1 + + while (++index < htmlExtensions.length) { + htmlExtension(handlers, htmlExtensions[index]) + } + + return handlers +} + +/** + * Merge `extension` into `all`. + * + * @param {HtmlExtension} all + * Extension to merge into. + * @param {HtmlExtension} extension + * Extension to merge. + * @returns {void} + */ +function htmlExtension(all, extension) { + /** @type {keyof HtmlExtension} */ + let hook + + for (hook in extension) { + const maybe = micromark_util_combine_extensions_hasOwnProperty.call(all, hook) ? all[hook] : undefined + const left = maybe || (all[hook] = {}) + const right = extension[hook] + /** @type {keyof Handles} */ + let type + + if (right) { + for (type in right) { + // @ts-expect-error assume document vs regular handler are managed correctly. + left[type] = right[type] + } + } + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-character/lib/unicode-punctuation-regex.js +// This module is generated by `script/`. +// +// CommonMark handles attention (emphasis, strong) markers based on what comes +// before or after them. +// One such difference is if those characters are Unicode punctuation. +// This script is generated from the Unicode data. + +/** + * Regular expression that matches a unicode punctuation character. + */ +const unicodePunctuationRegex = + /[!-\/:-@\[-`\{-~\xA1\xA7\xAB\xB6\xB7\xBB\xBF\u037E\u0387\u055A-\u055F\u0589\u058A\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0609\u060A\u060C\u060D\u061B\u061D-\u061F\u066A-\u066D\u06D4\u0700-\u070D\u07F7-\u07F9\u0830-\u083E\u085E\u0964\u0965\u0970\u09FD\u0A76\u0AF0\u0C77\u0C84\u0DF4\u0E4F\u0E5A\u0E5B\u0F04-\u0F12\u0F14\u0F3A-\u0F3D\u0F85\u0FD0-\u0FD4\u0FD9\u0FDA\u104A-\u104F\u10FB\u1360-\u1368\u1400\u166E\u169B\u169C\u16EB-\u16ED\u1735\u1736\u17D4-\u17D6\u17D8-\u17DA\u1800-\u180A\u1944\u1945\u1A1E\u1A1F\u1AA0-\u1AA6\u1AA8-\u1AAD\u1B5A-\u1B60\u1B7D\u1B7E\u1BFC-\u1BFF\u1C3B-\u1C3F\u1C7E\u1C7F\u1CC0-\u1CC7\u1CD3\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2053-\u205E\u207D\u207E\u208D\u208E\u2308-\u230B\u2329\u232A\u2768-\u2775\u27C5\u27C6\u27E6-\u27EF\u2983-\u2998\u29D8-\u29DB\u29FC\u29FD\u2CF9-\u2CFC\u2CFE\u2CFF\u2D70\u2E00-\u2E2E\u2E30-\u2E4F\u2E52-\u2E5D\u3001-\u3003\u3008-\u3011\u3014-\u301F\u3030\u303D\u30A0\u30FB\uA4FE\uA4FF\uA60D-\uA60F\uA673\uA67E\uA6F2-\uA6F7\uA874-\uA877\uA8CE\uA8CF\uA8F8-\uA8FA\uA8FC\uA92E\uA92F\uA95F\uA9C1-\uA9CD\uA9DE\uA9DF\uAA5C-\uAA5F\uAADE\uAADF\uAAF0\uAAF1\uABEB\uFD3E\uFD3F\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE61\uFE63\uFE68\uFE6A\uFE6B\uFF01-\uFF03\uFF05-\uFF0A\uFF0C-\uFF0F\uFF1A\uFF1B\uFF1F\uFF20\uFF3B-\uFF3D\uFF3F\uFF5B\uFF5D\uFF5F-\uFF65]/ + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-character/index.js +/** + * @typedef {import('micromark-util-types').Code} Code + */ + + + +/** + * Check whether the character code represents an ASCII alpha (`a` through `z`, + * case insensitive). + * + * An **ASCII alpha** is an ASCII upper alpha or ASCII lower alpha. + * + * An **ASCII upper alpha** is a character in the inclusive range U+0041 (`A`) + * to U+005A (`Z`). + * + * An **ASCII lower alpha** is a character in the inclusive range U+0061 (`a`) + * to U+007A (`z`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiAlpha = regexCheck(/[A-Za-z]/) + +/** + * Check whether the character code represents an ASCII alphanumeric (`a` + * through `z`, case insensitive, or `0` through `9`). + * + * An **ASCII alphanumeric** is an ASCII digit (see `asciiDigit`) or ASCII alpha + * (see `asciiAlpha`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiAlphanumeric = regexCheck(/[\dA-Za-z]/) + +/** + * Check whether the character code represents an ASCII atext. + * + * atext is an ASCII alphanumeric (see `asciiAlphanumeric`), or a character in + * the inclusive ranges U+0023 NUMBER SIGN (`#`) to U+0027 APOSTROPHE (`'`), + * U+002A ASTERISK (`*`), U+002B PLUS SIGN (`+`), U+002D DASH (`-`), U+002F + * SLASH (`/`), U+003D EQUALS TO (`=`), U+003F QUESTION MARK (`?`), U+005E + * CARET (`^`) to U+0060 GRAVE ACCENT (`` ` ``), or U+007B LEFT CURLY BRACE + * (`{`) to U+007E TILDE (`~`). + * + * See: + * **\[RFC5322]**: + * [Internet Message Format](https://tools.ietf.org/html/rfc5322). + * P. Resnick. + * IETF. + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiAtext = regexCheck(/[#-'*+\--9=?A-Z^-~]/) + +/** + * Check whether a character code is an ASCII control character. + * + * An **ASCII control** is a character in the inclusive range U+0000 NULL (NUL) + * to U+001F (US), or U+007F (DEL). + * + * @param {Code} code + * Code. + * @returns {boolean} + * Whether it matches. + */ +function asciiControl(code) { + return ( + // Special whitespace codes (which have negative values), C0 and Control + // character DEL + code !== null && (code < 32 || code === 127) + ) +} + +/** + * Check whether the character code represents an ASCII digit (`0` through `9`). + * + * An **ASCII digit** is a character in the inclusive range U+0030 (`0`) to + * U+0039 (`9`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiDigit = regexCheck(/\d/) + +/** + * Check whether the character code represents an ASCII hex digit (`a` through + * `f`, case insensitive, or `0` through `9`). + * + * An **ASCII hex digit** is an ASCII digit (see `asciiDigit`), ASCII upper hex + * digit, or an ASCII lower hex digit. + * + * An **ASCII upper hex digit** is a character in the inclusive range U+0041 + * (`A`) to U+0046 (`F`). + * + * An **ASCII lower hex digit** is a character in the inclusive range U+0061 + * (`a`) to U+0066 (`f`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiHexDigit = regexCheck(/[\dA-Fa-f]/) + +/** + * Check whether the character code represents ASCII punctuation. + * + * An **ASCII punctuation** is a character in the inclusive ranges U+0021 + * EXCLAMATION MARK (`!`) to U+002F SLASH (`/`), U+003A COLON (`:`) to U+0040 AT + * SIGN (`@`), U+005B LEFT SQUARE BRACKET (`[`) to U+0060 GRAVE ACCENT + * (`` ` ``), or U+007B LEFT CURLY BRACE (`{`) to U+007E TILDE (`~`). + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const asciiPunctuation = regexCheck(/[!-/:-@[-`{-~]/) + +/** + * Check whether a character code is a markdown line ending. + * + * A **markdown line ending** is the virtual characters M-0003 CARRIAGE RETURN + * LINE FEED (CRLF), M-0004 LINE FEED (LF) and M-0005 CARRIAGE RETURN (CR). + * + * In micromark, the actual character U+000A LINE FEED (LF) and U+000D CARRIAGE + * RETURN (CR) are replaced by these virtual characters depending on whether + * they occurred together. + * + * @param {Code} code + * Code. + * @returns {boolean} + * Whether it matches. + */ +function markdownLineEnding(code) { + return code !== null && code < -2 +} + +/** + * Check whether a character code is a markdown line ending (see + * `markdownLineEnding`) or markdown space (see `markdownSpace`). + * + * @param {Code} code + * Code. + * @returns {boolean} + * Whether it matches. + */ +function markdownLineEndingOrSpace(code) { + return code !== null && (code < 0 || code === 32) +} + +/** + * Check whether a character code is a markdown space. + * + * A **markdown space** is the concrete character U+0020 SPACE (SP) and the + * virtual characters M-0001 VIRTUAL SPACE (VS) and M-0002 HORIZONTAL TAB (HT). + * + * In micromark, the actual character U+0009 CHARACTER TABULATION (HT) is + * replaced by one M-0002 HORIZONTAL TAB (HT) and between 0 and 3 M-0001 VIRTUAL + * SPACE (VS) characters, depending on the column at which the tab occurred. + * + * @param {Code} code + * Code. + * @returns {boolean} + * Whether it matches. + */ +function markdownSpace(code) { + return code === -2 || code === -1 || code === 32 +} + +// Size note: removing ASCII from the regex and using `asciiPunctuation` here +// In fact adds to the bundle size. +/** + * Check whether the character code represents Unicode punctuation. + * + * A **Unicode punctuation** is a character in the Unicode `Pc` (Punctuation, + * Connector), `Pd` (Punctuation, Dash), `Pe` (Punctuation, Close), `Pf` + * (Punctuation, Final quote), `Pi` (Punctuation, Initial quote), `Po` + * (Punctuation, Other), or `Ps` (Punctuation, Open) categories, or an ASCII + * punctuation (see `asciiPunctuation`). + * + * See: + * **\[UNICODE]**: + * [The Unicode Standard](https://www.unicode.org/versions/). + * Unicode Consortium. + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const unicodePunctuation = regexCheck(unicodePunctuationRegex) + +/** + * Check whether the character code represents Unicode whitespace. + * + * Note that this does handle micromark specific markdown whitespace characters. + * See `markdownLineEndingOrSpace` to check that. + * + * A **Unicode whitespace** is a character in the Unicode `Zs` (Separator, + * Space) category, or U+0009 CHARACTER TABULATION (HT), U+000A LINE FEED (LF), + * U+000C (FF), or U+000D CARRIAGE RETURN (CR) (**\[UNICODE]**). + * + * See: + * **\[UNICODE]**: + * [The Unicode Standard](https://www.unicode.org/versions/). + * Unicode Consortium. + * + * @param code + * Code. + * @returns + * Whether it matches. + */ +const unicodeWhitespace = regexCheck(/\s/) + +/** + * Create a code check from a regex. + * + * @param {RegExp} regex + * @returns {(code: Code) => boolean} + */ +function regexCheck(regex) { + return check + + /** + * Check whether a code matches the bound regex. + * + * @param {Code} code + * Character code. + * @returns {boolean} + * Whether the character code matches the bound regex. + */ + function check(code) { + return code !== null && regex.test(String.fromCharCode(code)) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-space/index.js +/** + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenType} TokenType + */ + + + +// To do: implement `spaceOrTab`, `spaceOrTabMinMax`, `spaceOrTabWithOptions`. + +/** + * Parse spaces and tabs. + * + * There is no `nok` parameter: + * + * * spaces in markdown are often optional, in which case this factory can be + * used and `ok` will be switched to whether spaces were found or not + * * one line ending or space can be detected with `markdownSpace(code)` right + * before using `factorySpace` + * + * ###### Examples + * + * Where `␉` represents a tab (plus how much it expands) and `␠` represents a + * single space. + * + * ```markdown + * ␉ + * ␠␠␠␠ + * ␉␠ + * ``` + * + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @param {TokenType} type + * Type (`' \t'`). + * @param {number | undefined} [max=Infinity] + * Max (exclusive). + * @returns + * Start state. + */ +function factorySpace(effects, ok, type, max) { + const limit = max ? max - 1 : Number.POSITIVE_INFINITY + let size = 0 + return start + + /** @type {State} */ + function start(code) { + if (markdownSpace(code)) { + effects.enter(type) + return prefix(code) + } + return ok(code) + } + + /** @type {State} */ + function prefix(code) { + if (markdownSpace(code) && size++ < limit) { + effects.consume(code) + return prefix + } + effects.exit(type) + return ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/content.js +/** + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').Initializer} Initializer + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + + + +/** @type {InitialConstruct} */ +const content = { + tokenize: initializeContent +} + +/** + * @this {TokenizeContext} + * @type {Initializer} + */ +function initializeContent(effects) { + const contentStart = effects.attempt( + this.parser.constructs.contentInitial, + afterContentStartConstruct, + paragraphInitial + ) + /** @type {Token} */ + let previous + return contentStart + + /** @type {State} */ + function afterContentStartConstruct(code) { + if (code === null) { + effects.consume(code) + return + } + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return factorySpace(effects, contentStart, 'linePrefix') + } + + /** @type {State} */ + function paragraphInitial(code) { + effects.enter('paragraph') + return lineStart(code) + } + + /** @type {State} */ + function lineStart(code) { + const token = effects.enter('chunkText', { + contentType: 'text', + previous + }) + if (previous) { + previous.next = token + } + previous = token + return data(code) + } + + /** @type {State} */ + function data(code) { + if (code === null) { + effects.exit('chunkText') + effects.exit('paragraph') + effects.consume(code) + return + } + if (markdownLineEnding(code)) { + effects.consume(code) + effects.exit('chunkText') + return lineStart + } + + // Data. + effects.consume(code) + return data + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/document.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').ContainerState} ContainerState + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').Initializer} Initializer + * @typedef {import('micromark-util-types').Point} Point + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + +/** + * @typedef {[Construct, ContainerState]} StackItem + */ + + + + +/** @type {InitialConstruct} */ +const document_document = { + tokenize: initializeDocument +} + +/** @type {Construct} */ +const containerConstruct = { + tokenize: tokenizeContainer +} + +/** + * @this {TokenizeContext} + * @type {Initializer} + */ +function initializeDocument(effects) { + const self = this + /** @type {Array<StackItem>} */ + const stack = [] + let continued = 0 + /** @type {TokenizeContext | undefined} */ + let childFlow + /** @type {Token | undefined} */ + let childToken + /** @type {number} */ + let lineStartOffset + return start + + /** @type {State} */ + function start(code) { + // First we iterate through the open blocks, starting with the root + // document, and descending through last children down to the last open + // block. + // Each block imposes a condition that the line must satisfy if the block is + // to remain open. + // For example, a block quote requires a `>` character. + // A paragraph requires a non-blank line. + // In this phase we may match all or just some of the open blocks. + // But we cannot close unmatched blocks yet, because we may have a lazy + // continuation line. + if (continued < stack.length) { + const item = stack[continued] + self.containerState = item[1] + return effects.attempt( + item[0].continuation, + documentContinue, + checkNewContainers + )(code) + } + + // Done. + return checkNewContainers(code) + } + + /** @type {State} */ + function documentContinue(code) { + continued++ + + // Note: this field is called `_closeFlow` but it also closes containers. + // Perhaps a good idea to rename it but it’s already used in the wild by + // extensions. + if (self.containerState._closeFlow) { + self.containerState._closeFlow = undefined + if (childFlow) { + closeFlow() + } + + // Note: this algorithm for moving events around is similar to the + // algorithm when dealing with lazy lines in `writeToChild`. + const indexBeforeExits = self.events.length + let indexBeforeFlow = indexBeforeExits + /** @type {Point | undefined} */ + let point + + // Find the flow chunk. + while (indexBeforeFlow--) { + if ( + self.events[indexBeforeFlow][0] === 'exit' && + self.events[indexBeforeFlow][1].type === 'chunkFlow' + ) { + point = self.events[indexBeforeFlow][1].end + break + } + } + exitContainers(continued) + + // Fix positions. + let index = indexBeforeExits + while (index < self.events.length) { + self.events[index][1].end = Object.assign({}, point) + index++ + } + + // Inject the exits earlier (they’re still also at the end). + splice( + self.events, + indexBeforeFlow + 1, + 0, + self.events.slice(indexBeforeExits) + ) + + // Discard the duplicate exits. + self.events.length = index + return checkNewContainers(code) + } + return start(code) + } + + /** @type {State} */ + function checkNewContainers(code) { + // Next, after consuming the continuation markers for existing blocks, we + // look for new block starts (e.g. `>` for a block quote). + // If we encounter a new block start, we close any blocks unmatched in + // step 1 before creating the new block as a child of the last matched + // block. + if (continued === stack.length) { + // No need to `check` whether there’s a container, of `exitContainers` + // would be moot. + // We can instead immediately `attempt` to parse one. + if (!childFlow) { + return documentContinued(code) + } + + // If we have concrete content, such as block HTML or fenced code, + // we can’t have containers “pierce” into them, so we can immediately + // start. + if (childFlow.currentConstruct && childFlow.currentConstruct.concrete) { + return flowStart(code) + } + + // If we do have flow, it could still be a blank line, + // but we’d be interrupting it w/ a new container if there’s a current + // construct. + // To do: next major: remove `_gfmTableDynamicInterruptHack` (no longer + // needed in micromark-extension-gfm-table@1.0.6). + self.interrupt = Boolean( + childFlow.currentConstruct && !childFlow._gfmTableDynamicInterruptHack + ) + } + + // Check if there is a new container. + self.containerState = {} + return effects.check( + containerConstruct, + thereIsANewContainer, + thereIsNoNewContainer + )(code) + } + + /** @type {State} */ + function thereIsANewContainer(code) { + if (childFlow) closeFlow() + exitContainers(continued) + return documentContinued(code) + } + + /** @type {State} */ + function thereIsNoNewContainer(code) { + self.parser.lazy[self.now().line] = continued !== stack.length + lineStartOffset = self.now().offset + return flowStart(code) + } + + /** @type {State} */ + function documentContinued(code) { + // Try new containers. + self.containerState = {} + return effects.attempt( + containerConstruct, + containerContinue, + flowStart + )(code) + } + + /** @type {State} */ + function containerContinue(code) { + continued++ + stack.push([self.currentConstruct, self.containerState]) + // Try another. + return documentContinued(code) + } + + /** @type {State} */ + function flowStart(code) { + if (code === null) { + if (childFlow) closeFlow() + exitContainers(0) + effects.consume(code) + return + } + childFlow = childFlow || self.parser.flow(self.now()) + effects.enter('chunkFlow', { + contentType: 'flow', + previous: childToken, + _tokenizer: childFlow + }) + return flowContinue(code) + } + + /** @type {State} */ + function flowContinue(code) { + if (code === null) { + writeToChild(effects.exit('chunkFlow'), true) + exitContainers(0) + effects.consume(code) + return + } + if (markdownLineEnding(code)) { + effects.consume(code) + writeToChild(effects.exit('chunkFlow')) + // Get ready for the next line. + continued = 0 + self.interrupt = undefined + return start + } + effects.consume(code) + return flowContinue + } + + /** + * @param {Token} token + * @param {boolean | undefined} [eof] + * @returns {void} + */ + function writeToChild(token, eof) { + const stream = self.sliceStream(token) + if (eof) stream.push(null) + token.previous = childToken + if (childToken) childToken.next = token + childToken = token + childFlow.defineSkip(token.start) + childFlow.write(stream) + + // Alright, so we just added a lazy line: + // + // ```markdown + // > a + // b. + // + // Or: + // + // > ~~~c + // d + // + // Or: + // + // > | e | + // f + // ``` + // + // The construct in the second example (fenced code) does not accept lazy + // lines, so it marked itself as done at the end of its first line, and + // then the content construct parses `d`. + // Most constructs in markdown match on the first line: if the first line + // forms a construct, a non-lazy line can’t “unmake” it. + // + // The construct in the third example is potentially a GFM table, and + // those are *weird*. + // It *could* be a table, from the first line, if the following line + // matches a condition. + // In this case, that second line is lazy, which “unmakes” the first line + // and turns the whole into one content block. + // + // We’ve now parsed the non-lazy and the lazy line, and can figure out + // whether the lazy line started a new flow block. + // If it did, we exit the current containers between the two flow blocks. + if (self.parser.lazy[token.start.line]) { + let index = childFlow.events.length + while (index--) { + if ( + // The token starts before the line ending… + childFlow.events[index][1].start.offset < lineStartOffset && + // …and either is not ended yet… + (!childFlow.events[index][1].end || + // …or ends after it. + childFlow.events[index][1].end.offset > lineStartOffset) + ) { + // Exit: there’s still something open, which means it’s a lazy line + // part of something. + return + } + } + + // Note: this algorithm for moving events around is similar to the + // algorithm when closing flow in `documentContinue`. + const indexBeforeExits = self.events.length + let indexBeforeFlow = indexBeforeExits + /** @type {boolean | undefined} */ + let seen + /** @type {Point | undefined} */ + let point + + // Find the previous chunk (the one before the lazy line). + while (indexBeforeFlow--) { + if ( + self.events[indexBeforeFlow][0] === 'exit' && + self.events[indexBeforeFlow][1].type === 'chunkFlow' + ) { + if (seen) { + point = self.events[indexBeforeFlow][1].end + break + } + seen = true + } + } + exitContainers(continued) + + // Fix positions. + index = indexBeforeExits + while (index < self.events.length) { + self.events[index][1].end = Object.assign({}, point) + index++ + } + + // Inject the exits earlier (they’re still also at the end). + splice( + self.events, + indexBeforeFlow + 1, + 0, + self.events.slice(indexBeforeExits) + ) + + // Discard the duplicate exits. + self.events.length = index + } + } + + /** + * @param {number} size + * @returns {void} + */ + function exitContainers(size) { + let index = stack.length + + // Exit open containers. + while (index-- > size) { + const entry = stack[index] + self.containerState = entry[1] + entry[0].exit.call(self, effects) + } + stack.length = size + } + function closeFlow() { + childFlow.write([null]) + childToken = undefined + childFlow = undefined + self.containerState._closeFlow = undefined + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeContainer(effects, ok, nok) { + // Always populated by defaults. + + return factorySpace( + effects, + effects.attempt(this.parser.constructs.document, ok, nok), + 'linePrefix', + this.parser.constructs.disable.null.includes('codeIndented') ? undefined : 4 + ) +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/blank-line.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const blankLine = { + tokenize: tokenizeBlankLine, + partial: true +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeBlankLine(effects, ok, nok) { + return start + + /** + * Start of blank line. + * + * > 👉 **Note**: `␠` represents a space character. + * + * ```markdown + * > | ␠␠␊ + * ^ + * > | ␊ + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + return markdownSpace(code) + ? factorySpace(effects, after, 'linePrefix')(code) + : after(code) + } + + /** + * At eof/eol, after optional whitespace. + * + * > 👉 **Note**: `␠` represents a space character. + * + * ```markdown + * > | ␠␠␊ + * ^ + * > | ␊ + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + return code === null || markdownLineEnding(code) ? ok(code) : nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/micromark-util-subtokenize/node_modules/micromark-util-chunked/index.js +/** + * Like `Array#splice`, but smarter for giant arrays. + * + * `Array#splice` takes all items to be inserted as individual argument which + * causes a stack overflow in V8 when trying to insert 100k items for instance. + * + * Otherwise, this does not return the removed items, and takes `items` as an + * array instead of rest parameters. + * + * @template {unknown} T + * Item type. + * @param {Array<T>} list + * List to operate on. + * @param {number} start + * Index to remove/insert at (can be negative). + * @param {number} remove + * Number of items to remove. + * @param {Array<T>} items + * Items to inject into `list`. + * @returns {void} + * Nothing. + */ +function micromark_util_chunked_splice(list, start, remove, items) { + const end = list.length + let chunkStart = 0 + /** @type {Array<unknown>} */ + let parameters + + // Make start between zero and `end` (included). + if (start < 0) { + start = -start > end ? 0 : end + start + } else { + start = start > end ? end : start + } + remove = remove > 0 ? remove : 0 + + // No need to chunk the items if there’s only a couple (10k) items. + if (items.length < 10000) { + parameters = Array.from(items) + parameters.unshift(start, remove) + // @ts-expect-error Hush, it’s fine. + list.splice(...parameters) + } else { + // Delete `remove` items starting from `start` + if (remove) list.splice(start, remove) + + // Insert the items in chunks to not cause stack overflows. + while (chunkStart < items.length) { + parameters = items.slice(chunkStart, chunkStart + 10000) + parameters.unshift(start, 0) + // @ts-expect-error Hush, it’s fine. + list.splice(...parameters) + chunkStart += 10000 + start += 10000 + } + } +} + +/** + * Append `items` (an array) at the end of `list` (another array). + * When `list` was empty, returns `items` instead. + * + * This prevents a potentially expensive operation when `list` is empty, + * and adds items in batches to prevent V8 from hanging. + * + * @template {unknown} T + * Item type. + * @param {Array<T>} list + * List to operate on. + * @param {Array<T>} items + * Items to add to `list`. + * @returns {Array<T>} + * Either `list` or `items`. + */ +function micromark_util_chunked_push(list, items) { + if (list.length > 0) { + micromark_util_chunked_splice(list, list.length, 0, items) + return list + } + return items +} + +;// CONCATENATED MODULE: ./node_modules/micromark-util-subtokenize/index.js +/** + * @typedef {import('micromark-util-types').Chunk} Chunk + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').Token} Token + */ + + +/** + * Tokenize subcontent. + * + * @param {Array<Event>} events + * List of events. + * @returns {boolean} + * Whether subtokens were found. + */ +function subtokenize(events) { + /** @type {Record<string, number>} */ + const jumps = {} + let index = -1 + /** @type {Event} */ + let event + /** @type {number | undefined} */ + let lineIndex + /** @type {number} */ + let otherIndex + /** @type {Event} */ + let otherEvent + /** @type {Array<Event>} */ + let parameters + /** @type {Array<Event>} */ + let subevents + /** @type {boolean | undefined} */ + let more + while (++index < events.length) { + while (index in jumps) { + index = jumps[index] + } + event = events[index] + + // Add a hook for the GFM tasklist extension, which needs to know if text + // is in the first content of a list item. + if ( + index && + event[1].type === 'chunkFlow' && + events[index - 1][1].type === 'listItemPrefix' + ) { + subevents = event[1]._tokenizer.events + otherIndex = 0 + if ( + otherIndex < subevents.length && + subevents[otherIndex][1].type === 'lineEndingBlank' + ) { + otherIndex += 2 + } + if ( + otherIndex < subevents.length && + subevents[otherIndex][1].type === 'content' + ) { + while (++otherIndex < subevents.length) { + if (subevents[otherIndex][1].type === 'content') { + break + } + if (subevents[otherIndex][1].type === 'chunkText') { + subevents[otherIndex][1]._isInFirstContentOfListItem = true + otherIndex++ + } + } + } + } + + // Enter. + if (event[0] === 'enter') { + if (event[1].contentType) { + Object.assign(jumps, subcontent(events, index)) + index = jumps[index] + more = true + } + } + // Exit. + else if (event[1]._container) { + otherIndex = index + lineIndex = undefined + while (otherIndex--) { + otherEvent = events[otherIndex] + if ( + otherEvent[1].type === 'lineEnding' || + otherEvent[1].type === 'lineEndingBlank' + ) { + if (otherEvent[0] === 'enter') { + if (lineIndex) { + events[lineIndex][1].type = 'lineEndingBlank' + } + otherEvent[1].type = 'lineEnding' + lineIndex = otherIndex + } + } else { + break + } + } + if (lineIndex) { + // Fix position. + event[1].end = Object.assign({}, events[lineIndex][1].start) + + // Switch container exit w/ line endings. + parameters = events.slice(lineIndex, index) + parameters.unshift(event) + micromark_util_chunked_splice(events, lineIndex, index - lineIndex + 1, parameters) + } + } + } + return !more +} + +/** + * Tokenize embedded tokens. + * + * @param {Array<Event>} events + * @param {number} eventIndex + * @returns {Record<string, number>} + */ +function subcontent(events, eventIndex) { + const token = events[eventIndex][1] + const context = events[eventIndex][2] + let startPosition = eventIndex - 1 + /** @type {Array<number>} */ + const startPositions = [] + const tokenizer = + token._tokenizer || context.parser[token.contentType](token.start) + const childEvents = tokenizer.events + /** @type {Array<[number, number]>} */ + const jumps = [] + /** @type {Record<string, number>} */ + const gaps = {} + /** @type {Array<Chunk>} */ + let stream + /** @type {Token | undefined} */ + let previous + let index = -1 + /** @type {Token | undefined} */ + let current = token + let adjust = 0 + let start = 0 + const breaks = [start] + + // Loop forward through the linked tokens to pass them in order to the + // subtokenizer. + while (current) { + // Find the position of the event for this token. + while (events[++startPosition][1] !== current) { + // Empty. + } + startPositions.push(startPosition) + if (!current._tokenizer) { + stream = context.sliceStream(current) + if (!current.next) { + stream.push(null) + } + if (previous) { + tokenizer.defineSkip(current.start) + } + if (current._isInFirstContentOfListItem) { + tokenizer._gfmTasklistFirstContentOfListItem = true + } + tokenizer.write(stream) + if (current._isInFirstContentOfListItem) { + tokenizer._gfmTasklistFirstContentOfListItem = undefined + } + } + + // Unravel the next token. + previous = current + current = current.next + } + + // Now, loop back through all events (and linked tokens), to figure out which + // parts belong where. + current = token + while (++index < childEvents.length) { + if ( + // Find a void token that includes a break. + childEvents[index][0] === 'exit' && + childEvents[index - 1][0] === 'enter' && + childEvents[index][1].type === childEvents[index - 1][1].type && + childEvents[index][1].start.line !== childEvents[index][1].end.line + ) { + start = index + 1 + breaks.push(start) + // Help GC. + current._tokenizer = undefined + current.previous = undefined + current = current.next + } + } + + // Help GC. + tokenizer.events = [] + + // If there’s one more token (which is the cases for lines that end in an + // EOF), that’s perfect: the last point we found starts it. + // If there isn’t then make sure any remaining content is added to it. + if (current) { + // Help GC. + current._tokenizer = undefined + current.previous = undefined + } else { + breaks.pop() + } + + // Now splice the events from the subtokenizer into the current events, + // moving back to front so that splice indices aren’t affected. + index = breaks.length + while (index--) { + const slice = childEvents.slice(breaks[index], breaks[index + 1]) + const start = startPositions.pop() + jumps.unshift([start, start + slice.length - 1]) + micromark_util_chunked_splice(events, start, 2, slice) + } + index = -1 + while (++index < jumps.length) { + gaps[adjust + jumps[index][0]] = adjust + jumps[index][1] + adjust += jumps[index][1] - jumps[index][0] - 1 + } + return gaps +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/content.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + +/** + * No name because it must not be turned off. + * @type {Construct} + */ +const content_content = { + tokenize: tokenizeContent, + resolve: resolveContent +} + +/** @type {Construct} */ +const continuationConstruct = { + tokenize: tokenizeContinuation, + partial: true +} + +/** + * Content is transparent: it’s parsed right now. That way, definitions are also + * parsed right now: before text in paragraphs (specifically, media) are parsed. + * + * @type {Resolver} + */ +function resolveContent(events) { + subtokenize(events) + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeContent(effects, ok) { + /** @type {Token | undefined} */ + let previous + return chunkStart + + /** + * Before a content chunk. + * + * ```markdown + * > | abc + * ^ + * ``` + * + * @type {State} + */ + function chunkStart(code) { + effects.enter('content') + previous = effects.enter('chunkContent', { + contentType: 'content' + }) + return chunkInside(code) + } + + /** + * In a content chunk. + * + * ```markdown + * > | abc + * ^^^ + * ``` + * + * @type {State} + */ + function chunkInside(code) { + if (code === null) { + return contentEnd(code) + } + + // To do: in `markdown-rs`, each line is parsed on its own, and everything + // is stitched together resolving. + if (markdownLineEnding(code)) { + return effects.check( + continuationConstruct, + contentContinue, + contentEnd + )(code) + } + + // Data. + effects.consume(code) + return chunkInside + } + + /** + * + * + * @type {State} + */ + function contentEnd(code) { + effects.exit('chunkContent') + effects.exit('content') + return ok(code) + } + + /** + * + * + * @type {State} + */ + function contentContinue(code) { + effects.consume(code) + effects.exit('chunkContent') + previous.next = effects.enter('chunkContent', { + contentType: 'content', + previous + }) + previous = previous.next + return chunkInside + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeContinuation(effects, ok, nok) { + const self = this + return startLookahead + + /** + * + * + * @type {State} + */ + function startLookahead(code) { + effects.exit('chunkContent') + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return factorySpace(effects, prefixed, 'linePrefix') + } + + /** + * + * + * @type {State} + */ + function prefixed(code) { + if (code === null || markdownLineEnding(code)) { + return nok(code) + } + + // Always populated by defaults. + + const tail = self.events[self.events.length - 1] + if ( + !self.parser.constructs.disable.null.includes('codeIndented') && + tail && + tail[1].type === 'linePrefix' && + tail[2].sliceSerialize(tail[1], true).length >= 4 + ) { + return ok(code) + } + return effects.interrupt(self.parser.constructs.flow, nok, ok)(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/flow.js +/** + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').Initializer} Initializer + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + + + + +/** @type {InitialConstruct} */ +const flow = { + tokenize: initializeFlow +} + +/** + * @this {TokenizeContext} + * @type {Initializer} + */ +function initializeFlow(effects) { + const self = this + const initial = effects.attempt( + // Try to parse a blank line. + blankLine, + atBlankEnding, + // Try to parse initial flow (essentially, only code). + effects.attempt( + this.parser.constructs.flowInitial, + afterConstruct, + factorySpace( + effects, + effects.attempt( + this.parser.constructs.flow, + afterConstruct, + effects.attempt(content_content, afterConstruct) + ), + 'linePrefix' + ) + ) + ) + return initial + + /** @type {State} */ + function atBlankEnding(code) { + if (code === null) { + effects.consume(code) + return + } + effects.enter('lineEndingBlank') + effects.consume(code) + effects.exit('lineEndingBlank') + self.currentConstruct = undefined + return initial + } + + /** @type {State} */ + function afterConstruct(code) { + if (code === null) { + effects.consume(code) + return + } + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + self.currentConstruct = undefined + return initial + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/text.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').Initializer} Initializer + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + +const resolver = { + resolveAll: createResolver() +} +const string = initializeFactory('string') +const text_text = initializeFactory('text') + +/** + * @param {'string' | 'text'} field + * @returns {InitialConstruct} + */ +function initializeFactory(field) { + return { + tokenize: initializeText, + resolveAll: createResolver( + field === 'text' ? resolveAllLineSuffixes : undefined + ) + } + + /** + * @this {TokenizeContext} + * @type {Initializer} + */ + function initializeText(effects) { + const self = this + const constructs = this.parser.constructs[field] + const text = effects.attempt(constructs, start, notText) + return start + + /** @type {State} */ + function start(code) { + return atBreak(code) ? text(code) : notText(code) + } + + /** @type {State} */ + function notText(code) { + if (code === null) { + effects.consume(code) + return + } + effects.enter('data') + effects.consume(code) + return data + } + + /** @type {State} */ + function data(code) { + if (atBreak(code)) { + effects.exit('data') + return text(code) + } + + // Data. + effects.consume(code) + return data + } + + /** + * @param {Code} code + * @returns {boolean} + */ + function atBreak(code) { + if (code === null) { + return true + } + const list = constructs[code] + let index = -1 + if (list) { + // Always populated by defaults. + + while (++index < list.length) { + const item = list[index] + if (!item.previous || item.previous.call(self, self.previous)) { + return true + } + } + } + return false + } + } +} + +/** + * @param {Resolver | undefined} [extraResolver] + * @returns {Resolver} + */ +function createResolver(extraResolver) { + return resolveAllText + + /** @type {Resolver} */ + function resolveAllText(events, context) { + let index = -1 + /** @type {number | undefined} */ + let enter + + // A rather boring computation (to merge adjacent `data` events) which + // improves mm performance by 29%. + while (++index <= events.length) { + if (enter === undefined) { + if (events[index] && events[index][1].type === 'data') { + enter = index + index++ + } + } else if (!events[index] || events[index][1].type !== 'data') { + // Don’t do anything if there is one data token. + if (index !== enter + 2) { + events[enter][1].end = events[index - 1][1].end + events.splice(enter + 2, index - enter - 2) + index = enter + 2 + } + enter = undefined + } + } + return extraResolver ? extraResolver(events, context) : events + } +} + +/** + * A rather ugly set of instructions which again looks at chunks in the input + * stream. + * The reason to do this here is that it is *much* faster to parse in reverse. + * And that we can’t hook into `null` to split the line suffix before an EOF. + * To do: figure out if we can make this into a clean utility, or even in core. + * As it will be useful for GFMs literal autolink extension (and maybe even + * tables?) + * + * @type {Resolver} + */ +function resolveAllLineSuffixes(events, context) { + let eventIndex = 0 // Skip first. + + while (++eventIndex <= events.length) { + if ( + (eventIndex === events.length || + events[eventIndex][1].type === 'lineEnding') && + events[eventIndex - 1][1].type === 'data' + ) { + const data = events[eventIndex - 1][1] + const chunks = context.sliceStream(data) + let index = chunks.length + let bufferIndex = -1 + let size = 0 + /** @type {boolean | undefined} */ + let tabs + while (index--) { + const chunk = chunks[index] + if (typeof chunk === 'string') { + bufferIndex = chunk.length + while (chunk.charCodeAt(bufferIndex - 1) === 32) { + size++ + bufferIndex-- + } + if (bufferIndex) break + bufferIndex = -1 + } + // Number + else if (chunk === -2) { + tabs = true + size++ + } else if (chunk === -1) { + // Empty + } else { + // Replacement character, exit. + index++ + break + } + } + if (size) { + const token = { + type: + eventIndex === events.length || tabs || size < 2 + ? 'lineSuffix' + : 'hardBreakTrailing', + start: { + line: data.end.line, + column: data.end.column - size, + offset: data.end.offset - size, + _index: data.start._index + index, + _bufferIndex: index + ? bufferIndex + : data.start._bufferIndex + bufferIndex + }, + end: Object.assign({}, data.end) + } + data.end = Object.assign({}, token.start) + if (data.start.offset === data.end.offset) { + Object.assign(data, token) + } else { + events.splice( + eventIndex, + 0, + ['enter', token, context], + ['exit', token, context] + ) + eventIndex += 2 + } + } + eventIndex++ + } + } + return events +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-resolve-all/index.js +/** + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + +/** + * Call all `resolveAll`s. + * + * @param {Array<{resolveAll?: Resolver | undefined}>} constructs + * List of constructs, optionally with `resolveAll`s. + * @param {Array<Event>} events + * List of events. + * @param {TokenizeContext} context + * Context used by `tokenize`. + * @returns {Array<Event>} + * Changed events. + */ +function resolveAll(constructs, events, context) { + /** @type {Array<Resolver>} */ + const called = [] + let index = -1 + + while (++index < constructs.length) { + const resolve = constructs[index].resolveAll + + if (resolve && !called.includes(resolve)) { + events = resolve(events, context) + called.push(resolve) + } + } + + return events +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/create-tokenizer.js +/** + * @typedef {import('micromark-util-types').Chunk} Chunk + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').ConstructRecord} ConstructRecord + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').ParseContext} ParseContext + * @typedef {import('micromark-util-types').Point} Point + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenType} TokenType + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + */ + +/** + * @callback Restore + * @returns {void} + * + * @typedef Info + * @property {Restore} restore + * @property {number} from + * + * @callback ReturnHandle + * Handle a successful run. + * @param {Construct} construct + * @param {Info} info + * @returns {void} + */ + + + + +/** + * Create a tokenizer. + * Tokenizers deal with one type of data (e.g., containers, flow, text). + * The parser is the object dealing with it all. + * `initialize` works like other constructs, except that only its `tokenize` + * function is used, in which case it doesn’t receive an `ok` or `nok`. + * `from` can be given to set the point before the first character, although + * when further lines are indented, they must be set with `defineSkip`. + * + * @param {ParseContext} parser + * @param {InitialConstruct} initialize + * @param {Omit<Point, '_bufferIndex' | '_index'> | undefined} [from] + * @returns {TokenizeContext} + */ +function createTokenizer(parser, initialize, from) { + /** @type {Point} */ + let point = Object.assign( + from + ? Object.assign({}, from) + : { + line: 1, + column: 1, + offset: 0 + }, + { + _index: 0, + _bufferIndex: -1 + } + ) + /** @type {Record<string, number>} */ + const columnStart = {} + /** @type {Array<Construct>} */ + const resolveAllConstructs = [] + /** @type {Array<Chunk>} */ + let chunks = [] + /** @type {Array<Token>} */ + let stack = [] + /** @type {boolean | undefined} */ + let consumed = true + + /** + * Tools used for tokenizing. + * + * @type {Effects} + */ + const effects = { + consume, + enter, + exit, + attempt: constructFactory(onsuccessfulconstruct), + check: constructFactory(onsuccessfulcheck), + interrupt: constructFactory(onsuccessfulcheck, { + interrupt: true + }) + } + + /** + * State and tools for resolving and serializing. + * + * @type {TokenizeContext} + */ + const context = { + previous: null, + code: null, + containerState: {}, + events: [], + parser, + sliceStream, + sliceSerialize, + now, + defineSkip, + write + } + + /** + * The state function. + * + * @type {State | void} + */ + let state = initialize.tokenize.call(context, effects) + + /** + * Track which character we expect to be consumed, to catch bugs. + * + * @type {Code} + */ + let expectedCode + if (initialize.resolveAll) { + resolveAllConstructs.push(initialize) + } + return context + + /** @type {TokenizeContext['write']} */ + function write(slice) { + chunks = push(chunks, slice) + main() + + // Exit if we’re not done, resolve might change stuff. + if (chunks[chunks.length - 1] !== null) { + return [] + } + addResult(initialize, 0) + + // Otherwise, resolve, and exit. + context.events = resolveAll(resolveAllConstructs, context.events, context) + return context.events + } + + // + // Tools. + // + + /** @type {TokenizeContext['sliceSerialize']} */ + function sliceSerialize(token, expandTabs) { + return serializeChunks(sliceStream(token), expandTabs) + } + + /** @type {TokenizeContext['sliceStream']} */ + function sliceStream(token) { + return sliceChunks(chunks, token) + } + + /** @type {TokenizeContext['now']} */ + function now() { + // This is a hot path, so we clone manually instead of `Object.assign({}, point)` + const {line, column, offset, _index, _bufferIndex} = point + return { + line, + column, + offset, + _index, + _bufferIndex + } + } + + /** @type {TokenizeContext['defineSkip']} */ + function defineSkip(value) { + columnStart[value.line] = value.column + accountForPotentialSkip() + } + + // + // State management. + // + + /** + * Main loop (note that `_index` and `_bufferIndex` in `point` are modified by + * `consume`). + * Here is where we walk through the chunks, which either include strings of + * several characters, or numerical character codes. + * The reason to do this in a loop instead of a call is so the stack can + * drain. + * + * @returns {void} + */ + function main() { + /** @type {number} */ + let chunkIndex + while (point._index < chunks.length) { + const chunk = chunks[point._index] + + // If we’re in a buffer chunk, loop through it. + if (typeof chunk === 'string') { + chunkIndex = point._index + if (point._bufferIndex < 0) { + point._bufferIndex = 0 + } + while ( + point._index === chunkIndex && + point._bufferIndex < chunk.length + ) { + go(chunk.charCodeAt(point._bufferIndex)) + } + } else { + go(chunk) + } + } + } + + /** + * Deal with one code. + * + * @param {Code} code + * @returns {void} + */ + function go(code) { + consumed = undefined + expectedCode = code + state = state(code) + } + + /** @type {Effects['consume']} */ + function consume(code) { + if (markdownLineEnding(code)) { + point.line++ + point.column = 1 + point.offset += code === -3 ? 2 : 1 + accountForPotentialSkip() + } else if (code !== -1) { + point.column++ + point.offset++ + } + + // Not in a string chunk. + if (point._bufferIndex < 0) { + point._index++ + } else { + point._bufferIndex++ + + // At end of string chunk. + // @ts-expect-error Points w/ non-negative `_bufferIndex` reference + // strings. + if (point._bufferIndex === chunks[point._index].length) { + point._bufferIndex = -1 + point._index++ + } + } + + // Expose the previous character. + context.previous = code + + // Mark as consumed. + consumed = true + } + + /** @type {Effects['enter']} */ + function enter(type, fields) { + /** @type {Token} */ + // @ts-expect-error Patch instead of assign required fields to help GC. + const token = fields || {} + token.type = type + token.start = now() + context.events.push(['enter', token, context]) + stack.push(token) + return token + } + + /** @type {Effects['exit']} */ + function exit(type) { + const token = stack.pop() + token.end = now() + context.events.push(['exit', token, context]) + return token + } + + /** + * Use results. + * + * @type {ReturnHandle} + */ + function onsuccessfulconstruct(construct, info) { + addResult(construct, info.from) + } + + /** + * Discard results. + * + * @type {ReturnHandle} + */ + function onsuccessfulcheck(_, info) { + info.restore() + } + + /** + * Factory to attempt/check/interrupt. + * + * @param {ReturnHandle} onreturn + * @param {{interrupt?: boolean | undefined} | undefined} [fields] + */ + function constructFactory(onreturn, fields) { + return hook + + /** + * Handle either an object mapping codes to constructs, a list of + * constructs, or a single construct. + * + * @param {Array<Construct> | Construct | ConstructRecord} constructs + * @param {State} returnState + * @param {State | undefined} [bogusState] + * @returns {State} + */ + function hook(constructs, returnState, bogusState) { + /** @type {Array<Construct>} */ + let listOfConstructs + /** @type {number} */ + let constructIndex + /** @type {Construct} */ + let currentConstruct + /** @type {Info} */ + let info + return Array.isArray(constructs) /* c8 ignore next 1 */ + ? handleListOfConstructs(constructs) + : 'tokenize' in constructs + ? // @ts-expect-error Looks like a construct. + handleListOfConstructs([constructs]) + : handleMapOfConstructs(constructs) + + /** + * Handle a list of construct. + * + * @param {ConstructRecord} map + * @returns {State} + */ + function handleMapOfConstructs(map) { + return start + + /** @type {State} */ + function start(code) { + const def = code !== null && map[code] + const all = code !== null && map.null + const list = [ + // To do: add more extension tests. + /* c8 ignore next 2 */ + ...(Array.isArray(def) ? def : def ? [def] : []), + ...(Array.isArray(all) ? all : all ? [all] : []) + ] + return handleListOfConstructs(list)(code) + } + } + + /** + * Handle a list of construct. + * + * @param {Array<Construct>} list + * @returns {State} + */ + function handleListOfConstructs(list) { + listOfConstructs = list + constructIndex = 0 + if (list.length === 0) { + return bogusState + } + return handleConstruct(list[constructIndex]) + } + + /** + * Handle a single construct. + * + * @param {Construct} construct + * @returns {State} + */ + function handleConstruct(construct) { + return start + + /** @type {State} */ + function start(code) { + // To do: not needed to store if there is no bogus state, probably? + // Currently doesn’t work because `inspect` in document does a check + // w/o a bogus, which doesn’t make sense. But it does seem to help perf + // by not storing. + info = store() + currentConstruct = construct + if (!construct.partial) { + context.currentConstruct = construct + } + + // Always populated by defaults. + + if ( + construct.name && + context.parser.constructs.disable.null.includes(construct.name) + ) { + return nok(code) + } + return construct.tokenize.call( + // If we do have fields, create an object w/ `context` as its + // prototype. + // This allows a “live binding”, which is needed for `interrupt`. + fields ? Object.assign(Object.create(context), fields) : context, + effects, + ok, + nok + )(code) + } + } + + /** @type {State} */ + function ok(code) { + consumed = true + onreturn(currentConstruct, info) + return returnState + } + + /** @type {State} */ + function nok(code) { + consumed = true + info.restore() + if (++constructIndex < listOfConstructs.length) { + return handleConstruct(listOfConstructs[constructIndex]) + } + return bogusState + } + } + } + + /** + * @param {Construct} construct + * @param {number} from + * @returns {void} + */ + function addResult(construct, from) { + if (construct.resolveAll && !resolveAllConstructs.includes(construct)) { + resolveAllConstructs.push(construct) + } + if (construct.resolve) { + splice( + context.events, + from, + context.events.length - from, + construct.resolve(context.events.slice(from), context) + ) + } + if (construct.resolveTo) { + context.events = construct.resolveTo(context.events, context) + } + } + + /** + * Store state. + * + * @returns {Info} + */ + function store() { + const startPoint = now() + const startPrevious = context.previous + const startCurrentConstruct = context.currentConstruct + const startEventsIndex = context.events.length + const startStack = Array.from(stack) + return { + restore, + from: startEventsIndex + } + + /** + * Restore state. + * + * @returns {void} + */ + function restore() { + point = startPoint + context.previous = startPrevious + context.currentConstruct = startCurrentConstruct + context.events.length = startEventsIndex + stack = startStack + accountForPotentialSkip() + } + } + + /** + * Move the current point a bit forward in the line when it’s on a column + * skip. + * + * @returns {void} + */ + function accountForPotentialSkip() { + if (point.line in columnStart && point.column < 2) { + point.column = columnStart[point.line] + point.offset += columnStart[point.line] - 1 + } + } +} + +/** + * Get the chunks from a slice of chunks in the range of a token. + * + * @param {Array<Chunk>} chunks + * @param {Pick<Token, 'end' | 'start'>} token + * @returns {Array<Chunk>} + */ +function sliceChunks(chunks, token) { + const startIndex = token.start._index + const startBufferIndex = token.start._bufferIndex + const endIndex = token.end._index + const endBufferIndex = token.end._bufferIndex + /** @type {Array<Chunk>} */ + let view + if (startIndex === endIndex) { + // @ts-expect-error `_bufferIndex` is used on string chunks. + view = [chunks[startIndex].slice(startBufferIndex, endBufferIndex)] + } else { + view = chunks.slice(startIndex, endIndex) + if (startBufferIndex > -1) { + const head = view[0] + if (typeof head === 'string') { + view[0] = head.slice(startBufferIndex) + } else { + view.shift() + } + } + if (endBufferIndex > 0) { + // @ts-expect-error `_bufferIndex` is used on string chunks. + view.push(chunks[endIndex].slice(0, endBufferIndex)) + } + } + return view +} + +/** + * Get the string value of a slice of chunks. + * + * @param {Array<Chunk>} chunks + * @param {boolean | undefined} [expandTabs=false] + * @returns {string} + */ +function serializeChunks(chunks, expandTabs) { + let index = -1 + /** @type {Array<string>} */ + const result = [] + /** @type {boolean | undefined} */ + let atTab + while (++index < chunks.length) { + const chunk = chunks[index] + /** @type {string} */ + let value + if (typeof chunk === 'string') { + value = chunk + } else + switch (chunk) { + case -5: { + value = '\r' + break + } + case -4: { + value = '\n' + break + } + case -3: { + value = '\r' + '\n' + break + } + case -2: { + value = expandTabs ? ' ' : '\t' + break + } + case -1: { + if (!expandTabs && atTab) continue + value = ' ' + break + } + default: { + // Currently only replacement character. + value = String.fromCharCode(chunk) + } + } + atTab = chunk === -2 + result.push(value) + } + return result.join('') +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/thematic-break.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const thematicBreak = { + name: 'thematicBreak', + tokenize: tokenizeThematicBreak +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeThematicBreak(effects, ok, nok) { + let size = 0 + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * Start of thematic break. + * + * ```markdown + * > | *** + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('thematicBreak') + // To do: parse indent like `markdown-rs`. + return before(code) + } + + /** + * After optional whitespace, at marker. + * + * ```markdown + * > | *** + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + marker = code + return atBreak(code) + } + + /** + * After something, before something else. + * + * ```markdown + * > | *** + * ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if (code === marker) { + effects.enter('thematicBreakSequence') + return sequence(code) + } + if (size >= 3 && (code === null || markdownLineEnding(code))) { + effects.exit('thematicBreak') + return ok(code) + } + return nok(code) + } + + /** + * In sequence. + * + * ```markdown + * > | *** + * ^ + * ``` + * + * @type {State} + */ + function sequence(code) { + if (code === marker) { + effects.consume(code) + size++ + return sequence + } + effects.exit('thematicBreakSequence') + return markdownSpace(code) + ? factorySpace(effects, atBreak, 'whitespace')(code) + : atBreak(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/list.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').ContainerState} ContainerState + * @typedef {import('micromark-util-types').Exiter} Exiter + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + + + +/** @type {Construct} */ +const list = { + name: 'list', + tokenize: tokenizeListStart, + continuation: { + tokenize: tokenizeListContinuation + }, + exit: tokenizeListEnd +} + +/** @type {Construct} */ +const listItemPrefixWhitespaceConstruct = { + tokenize: tokenizeListItemPrefixWhitespace, + partial: true +} + +/** @type {Construct} */ +const indentConstruct = { + tokenize: tokenizeIndent, + partial: true +} + +// To do: `markdown-rs` parses list items on their own and later stitches them +// together. + +/** + * @type {Tokenizer} + * @this {TokenizeContext} + */ +function tokenizeListStart(effects, ok, nok) { + const self = this + const tail = self.events[self.events.length - 1] + let initialSize = + tail && tail[1].type === 'linePrefix' + ? tail[2].sliceSerialize(tail[1], true).length + : 0 + let size = 0 + return start + + /** @type {State} */ + function start(code) { + const kind = + self.containerState.type || + (code === 42 || code === 43 || code === 45 + ? 'listUnordered' + : 'listOrdered') + if ( + kind === 'listUnordered' + ? !self.containerState.marker || code === self.containerState.marker + : asciiDigit(code) + ) { + if (!self.containerState.type) { + self.containerState.type = kind + effects.enter(kind, { + _container: true + }) + } + if (kind === 'listUnordered') { + effects.enter('listItemPrefix') + return code === 42 || code === 45 + ? effects.check(thematicBreak, nok, atMarker)(code) + : atMarker(code) + } + if (!self.interrupt || code === 49) { + effects.enter('listItemPrefix') + effects.enter('listItemValue') + return inside(code) + } + } + return nok(code) + } + + /** @type {State} */ + function inside(code) { + if (asciiDigit(code) && ++size < 10) { + effects.consume(code) + return inside + } + if ( + (!self.interrupt || size < 2) && + (self.containerState.marker + ? code === self.containerState.marker + : code === 41 || code === 46) + ) { + effects.exit('listItemValue') + return atMarker(code) + } + return nok(code) + } + + /** + * @type {State} + **/ + function atMarker(code) { + effects.enter('listItemMarker') + effects.consume(code) + effects.exit('listItemMarker') + self.containerState.marker = self.containerState.marker || code + return effects.check( + blankLine, + // Can’t be empty when interrupting. + self.interrupt ? nok : onBlank, + effects.attempt( + listItemPrefixWhitespaceConstruct, + endOfPrefix, + otherPrefix + ) + ) + } + + /** @type {State} */ + function onBlank(code) { + self.containerState.initialBlankLine = true + initialSize++ + return endOfPrefix(code) + } + + /** @type {State} */ + function otherPrefix(code) { + if (markdownSpace(code)) { + effects.enter('listItemPrefixWhitespace') + effects.consume(code) + effects.exit('listItemPrefixWhitespace') + return endOfPrefix + } + return nok(code) + } + + /** @type {State} */ + function endOfPrefix(code) { + self.containerState.size = + initialSize + + self.sliceSerialize(effects.exit('listItemPrefix'), true).length + return ok(code) + } +} + +/** + * @type {Tokenizer} + * @this {TokenizeContext} + */ +function tokenizeListContinuation(effects, ok, nok) { + const self = this + self.containerState._closeFlow = undefined + return effects.check(blankLine, onBlank, notBlank) + + /** @type {State} */ + function onBlank(code) { + self.containerState.furtherBlankLines = + self.containerState.furtherBlankLines || + self.containerState.initialBlankLine + + // We have a blank line. + // Still, try to consume at most the items size. + return factorySpace( + effects, + ok, + 'listItemIndent', + self.containerState.size + 1 + )(code) + } + + /** @type {State} */ + function notBlank(code) { + if (self.containerState.furtherBlankLines || !markdownSpace(code)) { + self.containerState.furtherBlankLines = undefined + self.containerState.initialBlankLine = undefined + return notInCurrentItem(code) + } + self.containerState.furtherBlankLines = undefined + self.containerState.initialBlankLine = undefined + return effects.attempt(indentConstruct, ok, notInCurrentItem)(code) + } + + /** @type {State} */ + function notInCurrentItem(code) { + // While we do continue, we signal that the flow should be closed. + self.containerState._closeFlow = true + // As we’re closing flow, we’re no longer interrupting. + self.interrupt = undefined + // Always populated by defaults. + + return factorySpace( + effects, + effects.attempt(list, ok, nok), + 'linePrefix', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + )(code) + } +} + +/** + * @type {Tokenizer} + * @this {TokenizeContext} + */ +function tokenizeIndent(effects, ok, nok) { + const self = this + return factorySpace( + effects, + afterPrefix, + 'listItemIndent', + self.containerState.size + 1 + ) + + /** @type {State} */ + function afterPrefix(code) { + const tail = self.events[self.events.length - 1] + return tail && + tail[1].type === 'listItemIndent' && + tail[2].sliceSerialize(tail[1], true).length === self.containerState.size + ? ok(code) + : nok(code) + } +} + +/** + * @type {Exiter} + * @this {TokenizeContext} + */ +function tokenizeListEnd(effects) { + effects.exit(this.containerState.type) +} + +/** + * @type {Tokenizer} + * @this {TokenizeContext} + */ +function tokenizeListItemPrefixWhitespace(effects, ok, nok) { + const self = this + + // Always populated by defaults. + + return factorySpace( + effects, + afterPrefix, + 'listItemPrefixWhitespace', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + 1 + ) + + /** @type {State} */ + function afterPrefix(code) { + const tail = self.events[self.events.length - 1] + return !markdownSpace(code) && + tail && + tail[1].type === 'listItemPrefixWhitespace' + ? ok(code) + : nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/block-quote.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Exiter} Exiter + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const blockQuote = { + name: 'blockQuote', + tokenize: tokenizeBlockQuoteStart, + continuation: { + tokenize: tokenizeBlockQuoteContinuation + }, + exit +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeBlockQuoteStart(effects, ok, nok) { + const self = this + return start + + /** + * Start of block quote. + * + * ```markdown + * > | > a + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + if (code === 62) { + const state = self.containerState + if (!state.open) { + effects.enter('blockQuote', { + _container: true + }) + state.open = true + } + effects.enter('blockQuotePrefix') + effects.enter('blockQuoteMarker') + effects.consume(code) + effects.exit('blockQuoteMarker') + return after + } + return nok(code) + } + + /** + * After `>`, before optional whitespace. + * + * ```markdown + * > | > a + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + if (markdownSpace(code)) { + effects.enter('blockQuotePrefixWhitespace') + effects.consume(code) + effects.exit('blockQuotePrefixWhitespace') + effects.exit('blockQuotePrefix') + return ok + } + effects.exit('blockQuotePrefix') + return ok(code) + } +} + +/** + * Start of block quote continuation. + * + * ```markdown + * | > a + * > | > b + * ^ + * ``` + * + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeBlockQuoteContinuation(effects, ok, nok) { + const self = this + return contStart + + /** + * Start of block quote continuation. + * + * Also used to parse the first block quote opening. + * + * ```markdown + * | > a + * > | > b + * ^ + * ``` + * + * @type {State} + */ + function contStart(code) { + if (markdownSpace(code)) { + // Always populated by defaults. + + return factorySpace( + effects, + contBefore, + 'linePrefix', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + )(code) + } + return contBefore(code) + } + + /** + * At `>`, after optional whitespace. + * + * Also used to parse the first block quote opening. + * + * ```markdown + * | > a + * > | > b + * ^ + * ``` + * + * @type {State} + */ + function contBefore(code) { + return effects.attempt(blockQuote, ok, nok)(code) + } +} + +/** @type {Exiter} */ +function exit(effects) { + effects.exit('blockQuote') +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-destination/index.js +/** + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenType} TokenType + */ + + +/** + * Parse destinations. + * + * ###### Examples + * + * ```markdown + * <a> + * <a\>b> + * <a b> + * <a)> + * a + * a\)b + * a(b)c + * a(b) + * ``` + * + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @param {State} nok + * State switched to when unsuccessful. + * @param {TokenType} type + * Type for whole (`<a>` or `b`). + * @param {TokenType} literalType + * Type when enclosed (`<a>`). + * @param {TokenType} literalMarkerType + * Type for enclosing (`<` and `>`). + * @param {TokenType} rawType + * Type when not enclosed (`b`). + * @param {TokenType} stringType + * Type for the value (`a` or `b`). + * @param {number | undefined} [max=Infinity] + * Depth of nested parens (inclusive). + * @returns {State} + * Start state. + */ // eslint-disable-next-line max-params +function factoryDestination( + effects, + ok, + nok, + type, + literalType, + literalMarkerType, + rawType, + stringType, + max +) { + const limit = max || Number.POSITIVE_INFINITY + let balance = 0 + return start + + /** + * Start of destination. + * + * ```markdown + * > | <aa> + * ^ + * > | aa + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + if (code === 60) { + effects.enter(type) + effects.enter(literalType) + effects.enter(literalMarkerType) + effects.consume(code) + effects.exit(literalMarkerType) + return enclosedBefore + } + + // ASCII control, space, closing paren. + if (code === null || code === 32 || code === 41 || asciiControl(code)) { + return nok(code) + } + effects.enter(type) + effects.enter(rawType) + effects.enter(stringType) + effects.enter('chunkString', { + contentType: 'string' + }) + return raw(code) + } + + /** + * After `<`, at an enclosed destination. + * + * ```markdown + * > | <aa> + * ^ + * ``` + * + * @type {State} + */ + function enclosedBefore(code) { + if (code === 62) { + effects.enter(literalMarkerType) + effects.consume(code) + effects.exit(literalMarkerType) + effects.exit(literalType) + effects.exit(type) + return ok + } + effects.enter(stringType) + effects.enter('chunkString', { + contentType: 'string' + }) + return enclosed(code) + } + + /** + * In enclosed destination. + * + * ```markdown + * > | <aa> + * ^ + * ``` + * + * @type {State} + */ + function enclosed(code) { + if (code === 62) { + effects.exit('chunkString') + effects.exit(stringType) + return enclosedBefore(code) + } + if (code === null || code === 60 || markdownLineEnding(code)) { + return nok(code) + } + effects.consume(code) + return code === 92 ? enclosedEscape : enclosed + } + + /** + * After `\`, at a special character. + * + * ```markdown + * > | <a\*a> + * ^ + * ``` + * + * @type {State} + */ + function enclosedEscape(code) { + if (code === 60 || code === 62 || code === 92) { + effects.consume(code) + return enclosed + } + return enclosed(code) + } + + /** + * In raw destination. + * + * ```markdown + * > | aa + * ^ + * ``` + * + * @type {State} + */ + function raw(code) { + if ( + !balance && + (code === null || code === 41 || markdownLineEndingOrSpace(code)) + ) { + effects.exit('chunkString') + effects.exit(stringType) + effects.exit(rawType) + effects.exit(type) + return ok(code) + } + if (balance < limit && code === 40) { + effects.consume(code) + balance++ + return raw + } + if (code === 41) { + effects.consume(code) + balance-- + return raw + } + + // ASCII control (but *not* `\0`) and space and `(`. + // Note: in `markdown-rs`, `\0` exists in codes, in `micromark-js` it + // doesn’t. + if (code === null || code === 32 || code === 40 || asciiControl(code)) { + return nok(code) + } + effects.consume(code) + return code === 92 ? rawEscape : raw + } + + /** + * After `\`, at special character. + * + * ```markdown + * > | a\*a + * ^ + * ``` + * + * @type {State} + */ + function rawEscape(code) { + if (code === 40 || code === 41 || code === 92) { + effects.consume(code) + return raw + } + return raw(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-label/index.js +/** + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').TokenType} TokenType + */ + + +/** + * Parse labels. + * + * > 👉 **Note**: labels in markdown are capped at 999 characters in the string. + * + * ###### Examples + * + * ```markdown + * [a] + * [a + * b] + * [a\]b] + * ``` + * + * @this {TokenizeContext} + * Tokenize context. + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @param {State} nok + * State switched to when unsuccessful. + * @param {TokenType} type + * Type of the whole label (`[a]`). + * @param {TokenType} markerType + * Type for the markers (`[` and `]`). + * @param {TokenType} stringType + * Type for the identifier (`a`). + * @returns {State} + * Start state. + */ // eslint-disable-next-line max-params +function factoryLabel(effects, ok, nok, type, markerType, stringType) { + const self = this + let size = 0 + /** @type {boolean} */ + let seen + return start + + /** + * Start of label. + * + * ```markdown + * > | [a] + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter(type) + effects.enter(markerType) + effects.consume(code) + effects.exit(markerType) + effects.enter(stringType) + return atBreak + } + + /** + * In label, at something, before something else. + * + * ```markdown + * > | [a] + * ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if ( + size > 999 || + code === null || + code === 91 || + (code === 93 && !seen) || + // To do: remove in the future once we’ve switched from + // `micromark-extension-footnote` to `micromark-extension-gfm-footnote`, + // which doesn’t need this. + // Hidden footnotes hook. + /* c8 ignore next 3 */ + (code === 94 && + !size && + '_hiddenFootnoteSupport' in self.parser.constructs) + ) { + return nok(code) + } + if (code === 93) { + effects.exit(stringType) + effects.enter(markerType) + effects.consume(code) + effects.exit(markerType) + effects.exit(type) + return ok + } + + // To do: indent? Link chunks and EOLs together? + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return atBreak + } + effects.enter('chunkString', { + contentType: 'string' + }) + return labelInside(code) + } + + /** + * In label, in text. + * + * ```markdown + * > | [a] + * ^ + * ``` + * + * @type {State} + */ + function labelInside(code) { + if ( + code === null || + code === 91 || + code === 93 || + markdownLineEnding(code) || + size++ > 999 + ) { + effects.exit('chunkString') + return atBreak(code) + } + effects.consume(code) + if (!seen) seen = !markdownSpace(code) + return code === 92 ? labelEscape : labelInside + } + + /** + * After `\`, at a special character. + * + * ```markdown + * > | [a\*a] + * ^ + * ``` + * + * @type {State} + */ + function labelEscape(code) { + if (code === 91 || code === 92 || code === 93) { + effects.consume(code) + size++ + return labelInside + } + return labelInside(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-title/index.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenType} TokenType + */ + + + +/** + * Parse titles. + * + * ###### Examples + * + * ```markdown + * "a" + * 'b' + * (c) + * "a + * b" + * 'a + * b' + * (a\)b) + * ``` + * + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @param {State} nok + * State switched to when unsuccessful. + * @param {TokenType} type + * Type of the whole title (`"a"`, `'b'`, `(c)`). + * @param {TokenType} markerType + * Type for the markers (`"`, `'`, `(`, and `)`). + * @param {TokenType} stringType + * Type for the value (`a`). + * @returns {State} + * Start state. + */ // eslint-disable-next-line max-params +function factoryTitle(effects, ok, nok, type, markerType, stringType) { + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * Start of title. + * + * ```markdown + * > | "a" + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + if (code === 34 || code === 39 || code === 40) { + effects.enter(type) + effects.enter(markerType) + effects.consume(code) + effects.exit(markerType) + marker = code === 40 ? 41 : code + return begin + } + return nok(code) + } + + /** + * After opening marker. + * + * This is also used at the closing marker. + * + * ```markdown + * > | "a" + * ^ + * ``` + * + * @type {State} + */ + function begin(code) { + if (code === marker) { + effects.enter(markerType) + effects.consume(code) + effects.exit(markerType) + effects.exit(type) + return ok + } + effects.enter(stringType) + return atBreak(code) + } + + /** + * At something, before something else. + * + * ```markdown + * > | "a" + * ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if (code === marker) { + effects.exit(stringType) + return begin(marker) + } + if (code === null) { + return nok(code) + } + + // Note: blank lines can’t exist in content. + if (markdownLineEnding(code)) { + // To do: use `space_or_tab_eol_with_options`, connect. + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return factorySpace(effects, atBreak, 'linePrefix') + } + effects.enter('chunkString', { + contentType: 'string' + }) + return inside(code) + } + + /** + * + * + * @type {State} + */ + function inside(code) { + if (code === marker || code === null || markdownLineEnding(code)) { + effects.exit('chunkString') + return atBreak(code) + } + effects.consume(code) + return code === 92 ? escape : inside + } + + /** + * After `\`, at a special character. + * + * ```markdown + * > | "a\*b" + * ^ + * ``` + * + * @type {State} + */ + function escape(code) { + if (code === marker || code === 92) { + effects.consume(code) + return inside + } + return inside(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-whitespace/index.js +/** + * @typedef {import('micromark-util-types').Effects} Effects + * @typedef {import('micromark-util-types').State} State + */ + + + +/** + * Parse spaces and tabs. + * + * There is no `nok` parameter: + * + * * line endings or spaces in markdown are often optional, in which case this + * factory can be used and `ok` will be switched to whether spaces were found + * or not + * * one line ending or space can be detected with + * `markdownLineEndingOrSpace(code)` right before using `factoryWhitespace` + * + * @param {Effects} effects + * Context. + * @param {State} ok + * State switched to when successful. + * @returns + * Start state. + */ +function factoryWhitespace(effects, ok) { + /** @type {boolean} */ + let seen + return start + + /** @type {State} */ + function start(code) { + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + seen = true + return start + } + if (markdownSpace(code)) { + return factorySpace( + effects, + start, + seen ? 'linePrefix' : 'lineSuffix' + )(code) + } + return ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-normalize-identifier/index.js +/** + * Normalize an identifier (as found in references, definitions). + * + * Collapses markdown whitespace, trim, and then lower- and uppercase. + * + * Some characters are considered “uppercase”, such as U+03F4 (`ϴ`), but if their + * lowercase counterpart (U+03B8 (`θ`)) is uppercased will result in a different + * uppercase character (U+0398 (`Θ`)). + * So, to get a canonical form, we perform both lower- and uppercase. + * + * Using uppercase last makes sure keys will never interact with default + * prototypal values (such as `constructor`): nothing in the prototype of + * `Object` is uppercase. + * + * @param {string} value + * Identifier to normalize. + * @returns {string} + * Normalized identifier. + */ +function normalizeIdentifier(value) { + return ( + value + // Collapse markdown whitespace. + .replace(/[\t\n\r ]+/g, ' ') + // Trim. + .replace(/^ | $/g, '') + // Some characters are considered “uppercase”, but if their lowercase + // counterpart is uppercased will result in a different uppercase + // character. + // Hence, to get that form, we perform both lower- and uppercase. + // Upper case makes sure keys will not interact with default prototypal + // methods: no method is uppercase. + .toLowerCase() + .toUpperCase() + ) +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/definition.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + + + + + +/** @type {Construct} */ +const definition = { + name: 'definition', + tokenize: tokenizeDefinition +} + +/** @type {Construct} */ +const titleBefore = { + tokenize: tokenizeTitleBefore, + partial: true +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeDefinition(effects, ok, nok) { + const self = this + /** @type {string} */ + let identifier + return start + + /** + * At start of a definition. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // Do not interrupt paragraphs (but do follow definitions). + // To do: do `interrupt` the way `markdown-rs` does. + // To do: parse whitespace the way `markdown-rs` does. + effects.enter('definition') + return before(code) + } + + /** + * After optional whitespace, at `[`. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + // To do: parse whitespace the way `markdown-rs` does. + + return factoryLabel.call( + self, + effects, + labelAfter, + // Note: we don’t need to reset the way `markdown-rs` does. + nok, + 'definitionLabel', + 'definitionLabelMarker', + 'definitionLabelString' + )(code) + } + + /** + * After label. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function labelAfter(code) { + identifier = normalizeIdentifier( + self.sliceSerialize(self.events[self.events.length - 1][1]).slice(1, -1) + ) + if (code === 58) { + effects.enter('definitionMarker') + effects.consume(code) + effects.exit('definitionMarker') + return markerAfter + } + return nok(code) + } + + /** + * After marker. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function markerAfter(code) { + // Note: whitespace is optional. + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, destinationBefore)(code) + : destinationBefore(code) + } + + /** + * Before destination. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function destinationBefore(code) { + return factoryDestination( + effects, + destinationAfter, + // Note: we don’t need to reset the way `markdown-rs` does. + nok, + 'definitionDestination', + 'definitionDestinationLiteral', + 'definitionDestinationLiteralMarker', + 'definitionDestinationRaw', + 'definitionDestinationString' + )(code) + } + + /** + * After destination. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function destinationAfter(code) { + return effects.attempt(titleBefore, after, after)(code) + } + + /** + * After definition. + * + * ```markdown + * > | [a]: b + * ^ + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + return markdownSpace(code) + ? factorySpace(effects, afterWhitespace, 'whitespace')(code) + : afterWhitespace(code) + } + + /** + * After definition, after optional whitespace. + * + * ```markdown + * > | [a]: b + * ^ + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function afterWhitespace(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('definition') + + // Note: we don’t care about uniqueness. + // It’s likely that that doesn’t happen very frequently. + // It is more likely that it wastes precious time. + self.parser.defined.push(identifier) + + // To do: `markdown-rs` interrupt. + // // You’d be interrupting. + // tokenizer.interrupt = true + return ok(code) + } + return nok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeTitleBefore(effects, ok, nok) { + return titleBefore + + /** + * After destination, at whitespace. + * + * ```markdown + * > | [a]: b + * ^ + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function titleBefore(code) { + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, beforeMarker)(code) + : nok(code) + } + + /** + * At title. + * + * ```markdown + * | [a]: b + * > | "c" + * ^ + * ``` + * + * @type {State} + */ + function beforeMarker(code) { + return factoryTitle( + effects, + titleAfter, + nok, + 'definitionTitle', + 'definitionTitleMarker', + 'definitionTitleString' + )(code) + } + + /** + * After title. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function titleAfter(code) { + return markdownSpace(code) + ? factorySpace(effects, titleAfterOptionalWhitespace, 'whitespace')(code) + : titleAfterOptionalWhitespace(code) + } + + /** + * After title, after optional whitespace. + * + * ```markdown + * > | [a]: b "c" + * ^ + * ``` + * + * @type {State} + */ + function titleAfterOptionalWhitespace(code) { + return code === null || markdownLineEnding(code) ? ok(code) : nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-indented.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const codeIndented = { + name: 'codeIndented', + tokenize: tokenizeCodeIndented +} + +/** @type {Construct} */ +const furtherStart = { + tokenize: tokenizeFurtherStart, + partial: true +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCodeIndented(effects, ok, nok) { + const self = this + return start + + /** + * Start of code (indented). + * + * > **Parsing note**: it is not needed to check if this first line is a + * > filled line (that it has a non-whitespace character), because blank lines + * > are parsed already, so we never run into that. + * + * ```markdown + * > | aaa + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // To do: manually check if interrupting like `markdown-rs`. + + effects.enter('codeIndented') + // To do: use an improved `space_or_tab` function like `markdown-rs`, + // so that we can drop the next state. + return factorySpace(effects, afterPrefix, 'linePrefix', 4 + 1)(code) + } + + /** + * At start, after 1 or 4 spaces. + * + * ```markdown + * > | aaa + * ^ + * ``` + * + * @type {State} + */ + function afterPrefix(code) { + const tail = self.events[self.events.length - 1] + return tail && + tail[1].type === 'linePrefix' && + tail[2].sliceSerialize(tail[1], true).length >= 4 + ? atBreak(code) + : nok(code) + } + + /** + * At a break. + * + * ```markdown + * > | aaa + * ^ ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if (code === null) { + return after(code) + } + if (markdownLineEnding(code)) { + return effects.attempt(furtherStart, atBreak, after)(code) + } + effects.enter('codeFlowValue') + return inside(code) + } + + /** + * In code content. + * + * ```markdown + * > | aaa + * ^^^^ + * ``` + * + * @type {State} + */ + function inside(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('codeFlowValue') + return atBreak(code) + } + effects.consume(code) + return inside + } + + /** @type {State} */ + function after(code) { + effects.exit('codeIndented') + // To do: allow interrupting like `markdown-rs`. + // Feel free to interrupt. + // tokenizer.interrupt = false + return ok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeFurtherStart(effects, ok, nok) { + const self = this + return furtherStart + + /** + * At eol, trying to parse another indent. + * + * ```markdown + * > | aaa + * ^ + * | bbb + * ``` + * + * @type {State} + */ + function furtherStart(code) { + // To do: improve `lazy` / `pierce` handling. + // If this is a lazy line, it can’t be code. + if (self.parser.lazy[self.now().line]) { + return nok(code) + } + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return furtherStart + } + + // To do: the code here in `micromark-js` is a bit different from + // `markdown-rs` because there it can attempt spaces. + // We can’t yet. + // + // To do: use an improved `space_or_tab` function like `markdown-rs`, + // so that we can drop the next state. + return factorySpace(effects, afterPrefix, 'linePrefix', 4 + 1)(code) + } + + /** + * At start, after 1 or 4 spaces. + * + * ```markdown + * > | aaa + * ^ + * ``` + * + * @type {State} + */ + function afterPrefix(code) { + const tail = self.events[self.events.length - 1] + return tail && + tail[1].type === 'linePrefix' && + tail[2].sliceSerialize(tail[1], true).length >= 4 + ? ok(code) + : markdownLineEnding(code) + ? furtherStart(code) + : nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/heading-atx.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + +/** @type {Construct} */ +const headingAtx = { + name: 'headingAtx', + tokenize: tokenizeHeadingAtx, + resolve: resolveHeadingAtx +} + +/** @type {Resolver} */ +function resolveHeadingAtx(events, context) { + let contentEnd = events.length - 2 + let contentStart = 3 + /** @type {Token} */ + let content + /** @type {Token} */ + let text + + // Prefix whitespace, part of the opening. + if (events[contentStart][1].type === 'whitespace') { + contentStart += 2 + } + + // Suffix whitespace, part of the closing. + if ( + contentEnd - 2 > contentStart && + events[contentEnd][1].type === 'whitespace' + ) { + contentEnd -= 2 + } + if ( + events[contentEnd][1].type === 'atxHeadingSequence' && + (contentStart === contentEnd - 1 || + (contentEnd - 4 > contentStart && + events[contentEnd - 2][1].type === 'whitespace')) + ) { + contentEnd -= contentStart + 1 === contentEnd ? 2 : 4 + } + if (contentEnd > contentStart) { + content = { + type: 'atxHeadingText', + start: events[contentStart][1].start, + end: events[contentEnd][1].end + } + text = { + type: 'chunkText', + start: events[contentStart][1].start, + end: events[contentEnd][1].end, + contentType: 'text' + } + splice(events, contentStart, contentEnd - contentStart + 1, [ + ['enter', content, context], + ['enter', text, context], + ['exit', text, context], + ['exit', content, context] + ]) + } + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeHeadingAtx(effects, ok, nok) { + let size = 0 + return start + + /** + * Start of a heading (atx). + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // To do: parse indent like `markdown-rs`. + effects.enter('atxHeading') + return before(code) + } + + /** + * After optional whitespace, at `#`. + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + effects.enter('atxHeadingSequence') + return sequenceOpen(code) + } + + /** + * In opening sequence. + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function sequenceOpen(code) { + if (code === 35 && size++ < 6) { + effects.consume(code) + return sequenceOpen + } + + // Always at least one `#`. + if (code === null || markdownLineEndingOrSpace(code)) { + effects.exit('atxHeadingSequence') + return atBreak(code) + } + return nok(code) + } + + /** + * After something, before something else. + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function atBreak(code) { + if (code === 35) { + effects.enter('atxHeadingSequence') + return sequenceFurther(code) + } + if (code === null || markdownLineEnding(code)) { + effects.exit('atxHeading') + // To do: interrupt like `markdown-rs`. + // // Feel free to interrupt. + // tokenizer.interrupt = false + return ok(code) + } + if (markdownSpace(code)) { + return factorySpace(effects, atBreak, 'whitespace')(code) + } + + // To do: generate `data` tokens, add the `text` token later. + // Needs edit map, see: `markdown.rs`. + effects.enter('atxHeadingText') + return data(code) + } + + /** + * In further sequence (after whitespace). + * + * Could be normal “visible” hashes in the heading or a final sequence. + * + * ```markdown + * > | ## aa ## + * ^ + * ``` + * + * @type {State} + */ + function sequenceFurther(code) { + if (code === 35) { + effects.consume(code) + return sequenceFurther + } + effects.exit('atxHeadingSequence') + return atBreak(code) + } + + /** + * In text. + * + * ```markdown + * > | ## aa + * ^ + * ``` + * + * @type {State} + */ + function data(code) { + if (code === null || code === 35 || markdownLineEndingOrSpace(code)) { + effects.exit('atxHeadingText') + return atBreak(code) + } + effects.consume(code) + return data + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/setext-underline.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const setextUnderline = { + name: 'setextUnderline', + tokenize: tokenizeSetextUnderline, + resolveTo: resolveToSetextUnderline +} + +/** @type {Resolver} */ +function resolveToSetextUnderline(events, context) { + // To do: resolve like `markdown-rs`. + let index = events.length + /** @type {number | undefined} */ + let content + /** @type {number | undefined} */ + let text + /** @type {number | undefined} */ + let definition + + // Find the opening of the content. + // It’ll always exist: we don’t tokenize if it isn’t there. + while (index--) { + if (events[index][0] === 'enter') { + if (events[index][1].type === 'content') { + content = index + break + } + if (events[index][1].type === 'paragraph') { + text = index + } + } + // Exit + else { + if (events[index][1].type === 'content') { + // Remove the content end (if needed we’ll add it later) + events.splice(index, 1) + } + if (!definition && events[index][1].type === 'definition') { + definition = index + } + } + } + const heading = { + type: 'setextHeading', + start: Object.assign({}, events[text][1].start), + end: Object.assign({}, events[events.length - 1][1].end) + } + + // Change the paragraph to setext heading text. + events[text][1].type = 'setextHeadingText' + + // If we have definitions in the content, we’ll keep on having content, + // but we need move it. + if (definition) { + events.splice(text, 0, ['enter', heading, context]) + events.splice(definition + 1, 0, ['exit', events[content][1], context]) + events[content][1].end = Object.assign({}, events[definition][1].end) + } else { + events[content][1] = heading + } + + // Add the heading exit at the end. + events.push(['exit', heading, context]) + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeSetextUnderline(effects, ok, nok) { + const self = this + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * At start of heading (setext) underline. + * + * ```markdown + * | aa + * > | == + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + let index = self.events.length + /** @type {boolean | undefined} */ + let paragraph + // Find an opening. + while (index--) { + // Skip enter/exit of line ending, line prefix, and content. + // We can now either have a definition or a paragraph. + if ( + self.events[index][1].type !== 'lineEnding' && + self.events[index][1].type !== 'linePrefix' && + self.events[index][1].type !== 'content' + ) { + paragraph = self.events[index][1].type === 'paragraph' + break + } + } + + // To do: handle lazy/pierce like `markdown-rs`. + // To do: parse indent like `markdown-rs`. + if (!self.parser.lazy[self.now().line] && (self.interrupt || paragraph)) { + effects.enter('setextHeadingLine') + marker = code + return before(code) + } + return nok(code) + } + + /** + * After optional whitespace, at `-` or `=`. + * + * ```markdown + * | aa + * > | == + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + effects.enter('setextHeadingLineSequence') + return inside(code) + } + + /** + * In sequence. + * + * ```markdown + * | aa + * > | == + * ^ + * ``` + * + * @type {State} + */ + function inside(code) { + if (code === marker) { + effects.consume(code) + return inside + } + effects.exit('setextHeadingLineSequence') + return markdownSpace(code) + ? factorySpace(effects, after, 'lineSuffix')(code) + : after(code) + } + + /** + * After sequence, after optional whitespace. + * + * ```markdown + * | aa + * > | == + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('setextHeadingLine') + return ok(code) + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-html-tag-name/index.js +/** + * List of lowercase HTML “block” tag names. + * + * The list, when parsing HTML (flow), results in more relaxed rules (condition + * 6). + * Because they are known blocks, the HTML-like syntax doesn’t have to be + * strictly parsed. + * For tag names not in this list, a more strict algorithm (condition 7) is used + * to detect whether the HTML-like syntax is seen as HTML (flow) or not. + * + * This is copied from: + * <https://spec.commonmark.org/0.30/#html-blocks>. + * + * > 👉 **Note**: `search` was added in `CommonMark@0.31`. + */ +const htmlBlockNames = [ + 'address', + 'article', + 'aside', + 'base', + 'basefont', + 'blockquote', + 'body', + 'caption', + 'center', + 'col', + 'colgroup', + 'dd', + 'details', + 'dialog', + 'dir', + 'div', + 'dl', + 'dt', + 'fieldset', + 'figcaption', + 'figure', + 'footer', + 'form', + 'frame', + 'frameset', + 'h1', + 'h2', + 'h3', + 'h4', + 'h5', + 'h6', + 'head', + 'header', + 'hr', + 'html', + 'iframe', + 'legend', + 'li', + 'link', + 'main', + 'menu', + 'menuitem', + 'nav', + 'noframes', + 'ol', + 'optgroup', + 'option', + 'p', + 'param', + 'search', + 'section', + 'summary', + 'table', + 'tbody', + 'td', + 'tfoot', + 'th', + 'thead', + 'title', + 'tr', + 'track', + 'ul' +] + +/** + * List of lowercase HTML “raw” tag names. + * + * The list, when parsing HTML (flow), results in HTML that can include lines + * without exiting, until a closing tag also in this list is found (condition + * 1). + * + * This module is copied from: + * <https://spec.commonmark.org/0.30/#html-blocks>. + * + * > 👉 **Note**: `textarea` was added in `CommonMark@0.30`. + */ +const htmlRawNames = ['pre', 'script', 'style', 'textarea'] + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/html-flow.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + + +/** @type {Construct} */ +const htmlFlow = { + name: 'htmlFlow', + tokenize: tokenizeHtmlFlow, + resolveTo: resolveToHtmlFlow, + concrete: true +} + +/** @type {Construct} */ +const blankLineBefore = { + tokenize: tokenizeBlankLineBefore, + partial: true +} +const nonLazyContinuationStart = { + tokenize: tokenizeNonLazyContinuationStart, + partial: true +} + +/** @type {Resolver} */ +function resolveToHtmlFlow(events) { + let index = events.length + while (index--) { + if (events[index][0] === 'enter' && events[index][1].type === 'htmlFlow') { + break + } + } + if (index > 1 && events[index - 2][1].type === 'linePrefix') { + // Add the prefix start to the HTML token. + events[index][1].start = events[index - 2][1].start + // Add the prefix start to the HTML line token. + events[index + 1][1].start = events[index - 2][1].start + // Remove the line prefix. + events.splice(index - 2, 2) + } + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeHtmlFlow(effects, ok, nok) { + const self = this + /** @type {number} */ + let marker + /** @type {boolean} */ + let closingTag + /** @type {string} */ + let buffer + /** @type {number} */ + let index + /** @type {Code} */ + let markerB + return start + + /** + * Start of HTML (flow). + * + * ```markdown + * > | <x /> + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // To do: parse indent like `markdown-rs`. + return before(code) + } + + /** + * At `<`, after optional whitespace. + * + * ```markdown + * > | <x /> + * ^ + * ``` + * + * @type {State} + */ + function before(code) { + effects.enter('htmlFlow') + effects.enter('htmlFlowData') + effects.consume(code) + return open + } + + /** + * After `<`, at tag name or other stuff. + * + * ```markdown + * > | <x /> + * ^ + * > | <!doctype> + * ^ + * > | <!--xxx--> + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (code === 33) { + effects.consume(code) + return declarationOpen + } + if (code === 47) { + effects.consume(code) + closingTag = true + return tagCloseStart + } + if (code === 63) { + effects.consume(code) + marker = 3 + // To do: + // tokenizer.concrete = true + // To do: use `markdown-rs` style interrupt. + // While we’re in an instruction instead of a declaration, we’re on a `?` + // right now, so we do need to search for `>`, similar to declarations. + return self.interrupt ? ok : continuationDeclarationInside + } + + // ASCII alphabetical. + if (asciiAlpha(code)) { + effects.consume(code) + // @ts-expect-error: not null. + buffer = String.fromCharCode(code) + return tagName + } + return nok(code) + } + + /** + * After `<!`, at declaration, comment, or CDATA. + * + * ```markdown + * > | <!doctype> + * ^ + * > | <!--xxx--> + * ^ + * > | <![CDATA[>&<]]> + * ^ + * ``` + * + * @type {State} + */ + function declarationOpen(code) { + if (code === 45) { + effects.consume(code) + marker = 2 + return commentOpenInside + } + if (code === 91) { + effects.consume(code) + marker = 5 + index = 0 + return cdataOpenInside + } + + // ASCII alphabetical. + if (asciiAlpha(code)) { + effects.consume(code) + marker = 4 + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok : continuationDeclarationInside + } + return nok(code) + } + + /** + * After `<!-`, inside a comment, at another `-`. + * + * ```markdown + * > | <!--xxx--> + * ^ + * ``` + * + * @type {State} + */ + function commentOpenInside(code) { + if (code === 45) { + effects.consume(code) + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok : continuationDeclarationInside + } + return nok(code) + } + + /** + * After `<![`, inside CDATA, expecting `CDATA[`. + * + * ```markdown + * > | <![CDATA[>&<]]> + * ^^^^^^ + * ``` + * + * @type {State} + */ + function cdataOpenInside(code) { + const value = 'CDATA[' + if (code === value.charCodeAt(index++)) { + effects.consume(code) + if (index === value.length) { + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok : continuation + } + return cdataOpenInside + } + return nok(code) + } + + /** + * After `</`, in closing tag, at tag name. + * + * ```markdown + * > | </x> + * ^ + * ``` + * + * @type {State} + */ + function tagCloseStart(code) { + if (asciiAlpha(code)) { + effects.consume(code) + // @ts-expect-error: not null. + buffer = String.fromCharCode(code) + return tagName + } + return nok(code) + } + + /** + * In tag name. + * + * ```markdown + * > | <ab> + * ^^ + * > | </ab> + * ^^ + * ``` + * + * @type {State} + */ + function tagName(code) { + if ( + code === null || + code === 47 || + code === 62 || + markdownLineEndingOrSpace(code) + ) { + const slash = code === 47 + const name = buffer.toLowerCase() + if (!slash && !closingTag && htmlRawNames.includes(name)) { + marker = 1 + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok(code) : continuation(code) + } + if (htmlBlockNames.includes(buffer.toLowerCase())) { + marker = 6 + if (slash) { + effects.consume(code) + return basicSelfClosing + } + + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok(code) : continuation(code) + } + marker = 7 + // Do not support complete HTML when interrupting. + return self.interrupt && !self.parser.lazy[self.now().line] + ? nok(code) + : closingTag + ? completeClosingTagAfter(code) + : completeAttributeNameBefore(code) + } + + // ASCII alphanumerical and `-`. + if (code === 45 || asciiAlphanumeric(code)) { + effects.consume(code) + buffer += String.fromCharCode(code) + return tagName + } + return nok(code) + } + + /** + * After closing slash of a basic tag name. + * + * ```markdown + * > | <div/> + * ^ + * ``` + * + * @type {State} + */ + function basicSelfClosing(code) { + if (code === 62) { + effects.consume(code) + // // Do not form containers. + // tokenizer.concrete = true + return self.interrupt ? ok : continuation + } + return nok(code) + } + + /** + * After closing slash of a complete tag name. + * + * ```markdown + * > | <x/> + * ^ + * ``` + * + * @type {State} + */ + function completeClosingTagAfter(code) { + if (markdownSpace(code)) { + effects.consume(code) + return completeClosingTagAfter + } + return completeEnd(code) + } + + /** + * At an attribute name. + * + * At first, this state is used after a complete tag name, after whitespace, + * where it expects optional attributes or the end of the tag. + * It is also reused after attributes, when expecting more optional + * attributes. + * + * ```markdown + * > | <a /> + * ^ + * > | <a :b> + * ^ + * > | <a _b> + * ^ + * > | <a b> + * ^ + * > | <a > + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeNameBefore(code) { + if (code === 47) { + effects.consume(code) + return completeEnd + } + + // ASCII alphanumerical and `:` and `_`. + if (code === 58 || code === 95 || asciiAlpha(code)) { + effects.consume(code) + return completeAttributeName + } + if (markdownSpace(code)) { + effects.consume(code) + return completeAttributeNameBefore + } + return completeEnd(code) + } + + /** + * In attribute name. + * + * ```markdown + * > | <a :b> + * ^ + * > | <a _b> + * ^ + * > | <a b> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeName(code) { + // ASCII alphanumerical and `-`, `.`, `:`, and `_`. + if ( + code === 45 || + code === 46 || + code === 58 || + code === 95 || + asciiAlphanumeric(code) + ) { + effects.consume(code) + return completeAttributeName + } + return completeAttributeNameAfter(code) + } + + /** + * After attribute name, at an optional initializer, the end of the tag, or + * whitespace. + * + * ```markdown + * > | <a b> + * ^ + * > | <a b=c> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeNameAfter(code) { + if (code === 61) { + effects.consume(code) + return completeAttributeValueBefore + } + if (markdownSpace(code)) { + effects.consume(code) + return completeAttributeNameAfter + } + return completeAttributeNameBefore(code) + } + + /** + * Before unquoted, double quoted, or single quoted attribute value, allowing + * whitespace. + * + * ```markdown + * > | <a b=c> + * ^ + * > | <a b="c"> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeValueBefore(code) { + if ( + code === null || + code === 60 || + code === 61 || + code === 62 || + code === 96 + ) { + return nok(code) + } + if (code === 34 || code === 39) { + effects.consume(code) + markerB = code + return completeAttributeValueQuoted + } + if (markdownSpace(code)) { + effects.consume(code) + return completeAttributeValueBefore + } + return completeAttributeValueUnquoted(code) + } + + /** + * In double or single quoted attribute value. + * + * ```markdown + * > | <a b="c"> + * ^ + * > | <a b='c'> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeValueQuoted(code) { + if (code === markerB) { + effects.consume(code) + markerB = null + return completeAttributeValueQuotedAfter + } + if (code === null || markdownLineEnding(code)) { + return nok(code) + } + effects.consume(code) + return completeAttributeValueQuoted + } + + /** + * In unquoted attribute value. + * + * ```markdown + * > | <a b=c> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeValueUnquoted(code) { + if ( + code === null || + code === 34 || + code === 39 || + code === 47 || + code === 60 || + code === 61 || + code === 62 || + code === 96 || + markdownLineEndingOrSpace(code) + ) { + return completeAttributeNameAfter(code) + } + effects.consume(code) + return completeAttributeValueUnquoted + } + + /** + * After double or single quoted attribute value, before whitespace or the + * end of the tag. + * + * ```markdown + * > | <a b="c"> + * ^ + * ``` + * + * @type {State} + */ + function completeAttributeValueQuotedAfter(code) { + if (code === 47 || code === 62 || markdownSpace(code)) { + return completeAttributeNameBefore(code) + } + return nok(code) + } + + /** + * In certain circumstances of a complete tag where only an `>` is allowed. + * + * ```markdown + * > | <a b="c"> + * ^ + * ``` + * + * @type {State} + */ + function completeEnd(code) { + if (code === 62) { + effects.consume(code) + return completeAfter + } + return nok(code) + } + + /** + * After `>` in a complete tag. + * + * ```markdown + * > | <x> + * ^ + * ``` + * + * @type {State} + */ + function completeAfter(code) { + if (code === null || markdownLineEnding(code)) { + // // Do not form containers. + // tokenizer.concrete = true + return continuation(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return completeAfter + } + return nok(code) + } + + /** + * In continuation of any HTML kind. + * + * ```markdown + * > | <!--xxx--> + * ^ + * ``` + * + * @type {State} + */ + function continuation(code) { + if (code === 45 && marker === 2) { + effects.consume(code) + return continuationCommentInside + } + if (code === 60 && marker === 1) { + effects.consume(code) + return continuationRawTagOpen + } + if (code === 62 && marker === 4) { + effects.consume(code) + return continuationClose + } + if (code === 63 && marker === 3) { + effects.consume(code) + return continuationDeclarationInside + } + if (code === 93 && marker === 5) { + effects.consume(code) + return continuationCdataInside + } + if (markdownLineEnding(code) && (marker === 6 || marker === 7)) { + effects.exit('htmlFlowData') + return effects.check( + blankLineBefore, + continuationAfter, + continuationStart + )(code) + } + if (code === null || markdownLineEnding(code)) { + effects.exit('htmlFlowData') + return continuationStart(code) + } + effects.consume(code) + return continuation + } + + /** + * In continuation, at eol. + * + * ```markdown + * > | <x> + * ^ + * | asd + * ``` + * + * @type {State} + */ + function continuationStart(code) { + return effects.check( + nonLazyContinuationStart, + continuationStartNonLazy, + continuationAfter + )(code) + } + + /** + * In continuation, at eol, before non-lazy content. + * + * ```markdown + * > | <x> + * ^ + * | asd + * ``` + * + * @type {State} + */ + function continuationStartNonLazy(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return continuationBefore + } + + /** + * In continuation, before non-lazy content. + * + * ```markdown + * | <x> + * > | asd + * ^ + * ``` + * + * @type {State} + */ + function continuationBefore(code) { + if (code === null || markdownLineEnding(code)) { + return continuationStart(code) + } + effects.enter('htmlFlowData') + return continuation(code) + } + + /** + * In comment continuation, after one `-`, expecting another. + * + * ```markdown + * > | <!--xxx--> + * ^ + * ``` + * + * @type {State} + */ + function continuationCommentInside(code) { + if (code === 45) { + effects.consume(code) + return continuationDeclarationInside + } + return continuation(code) + } + + /** + * In raw continuation, after `<`, at `/`. + * + * ```markdown + * > | <script>console.log(1)</script> + * ^ + * ``` + * + * @type {State} + */ + function continuationRawTagOpen(code) { + if (code === 47) { + effects.consume(code) + buffer = '' + return continuationRawEndTag + } + return continuation(code) + } + + /** + * In raw continuation, after `</`, in a raw tag name. + * + * ```markdown + * > | <script>console.log(1)</script> + * ^^^^^^ + * ``` + * + * @type {State} + */ + function continuationRawEndTag(code) { + if (code === 62) { + const name = buffer.toLowerCase() + if (htmlRawNames.includes(name)) { + effects.consume(code) + return continuationClose + } + return continuation(code) + } + if (asciiAlpha(code) && buffer.length < 8) { + effects.consume(code) + // @ts-expect-error: not null. + buffer += String.fromCharCode(code) + return continuationRawEndTag + } + return continuation(code) + } + + /** + * In cdata continuation, after `]`, expecting `]>`. + * + * ```markdown + * > | <![CDATA[>&<]]> + * ^ + * ``` + * + * @type {State} + */ + function continuationCdataInside(code) { + if (code === 93) { + effects.consume(code) + return continuationDeclarationInside + } + return continuation(code) + } + + /** + * In declaration or instruction continuation, at `>`. + * + * ```markdown + * > | <!--> + * ^ + * > | <?> + * ^ + * > | <!q> + * ^ + * > | <!--ab--> + * ^ + * > | <![CDATA[>&<]]> + * ^ + * ``` + * + * @type {State} + */ + function continuationDeclarationInside(code) { + if (code === 62) { + effects.consume(code) + return continuationClose + } + + // More dashes. + if (code === 45 && marker === 2) { + effects.consume(code) + return continuationDeclarationInside + } + return continuation(code) + } + + /** + * In closed continuation: everything we get until the eol/eof is part of it. + * + * ```markdown + * > | <!doctype> + * ^ + * ``` + * + * @type {State} + */ + function continuationClose(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('htmlFlowData') + return continuationAfter(code) + } + effects.consume(code) + return continuationClose + } + + /** + * Done. + * + * ```markdown + * > | <!doctype> + * ^ + * ``` + * + * @type {State} + */ + function continuationAfter(code) { + effects.exit('htmlFlow') + // // Feel free to interrupt. + // tokenizer.interrupt = false + // // No longer concrete. + // tokenizer.concrete = false + return ok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeNonLazyContinuationStart(effects, ok, nok) { + const self = this + return start + + /** + * At eol, before continuation. + * + * ```markdown + * > | * ```js + * ^ + * | b + * ``` + * + * @type {State} + */ + function start(code) { + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return after + } + return nok(code) + } + + /** + * A continuation. + * + * ```markdown + * | * ```js + * > | b + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + return self.parser.lazy[self.now().line] ? nok(code) : ok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeBlankLineBefore(effects, ok, nok) { + return start + + /** + * Before eol, expecting blank line. + * + * ```markdown + * > | <div> + * ^ + * | + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return effects.attempt(blankLine, ok, nok) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-fenced.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const nonLazyContinuation = { + tokenize: tokenizeNonLazyContinuation, + partial: true +} + +/** @type {Construct} */ +const codeFenced = { + name: 'codeFenced', + tokenize: tokenizeCodeFenced, + concrete: true +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCodeFenced(effects, ok, nok) { + const self = this + /** @type {Construct} */ + const closeStart = { + tokenize: tokenizeCloseStart, + partial: true + } + let initialPrefix = 0 + let sizeOpen = 0 + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * Start of code. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function start(code) { + // To do: parse whitespace like `markdown-rs`. + return beforeSequenceOpen(code) + } + + /** + * In opening fence, after prefix, at sequence. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function beforeSequenceOpen(code) { + const tail = self.events[self.events.length - 1] + initialPrefix = + tail && tail[1].type === 'linePrefix' + ? tail[2].sliceSerialize(tail[1], true).length + : 0 + marker = code + effects.enter('codeFenced') + effects.enter('codeFencedFence') + effects.enter('codeFencedFenceSequence') + return sequenceOpen(code) + } + + /** + * In opening fence sequence. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function sequenceOpen(code) { + if (code === marker) { + sizeOpen++ + effects.consume(code) + return sequenceOpen + } + if (sizeOpen < 3) { + return nok(code) + } + effects.exit('codeFencedFenceSequence') + return markdownSpace(code) + ? factorySpace(effects, infoBefore, 'whitespace')(code) + : infoBefore(code) + } + + /** + * In opening fence, after the sequence (and optional whitespace), before info. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function infoBefore(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('codeFencedFence') + return self.interrupt + ? ok(code) + : effects.check(nonLazyContinuation, atNonLazyBreak, after)(code) + } + effects.enter('codeFencedFenceInfo') + effects.enter('chunkString', { + contentType: 'string' + }) + return info(code) + } + + /** + * In info. + * + * ```markdown + * > | ~~~js + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function info(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('chunkString') + effects.exit('codeFencedFenceInfo') + return infoBefore(code) + } + if (markdownSpace(code)) { + effects.exit('chunkString') + effects.exit('codeFencedFenceInfo') + return factorySpace(effects, metaBefore, 'whitespace')(code) + } + if (code === 96 && code === marker) { + return nok(code) + } + effects.consume(code) + return info + } + + /** + * In opening fence, after info and whitespace, before meta. + * + * ```markdown + * > | ~~~js eval + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function metaBefore(code) { + if (code === null || markdownLineEnding(code)) { + return infoBefore(code) + } + effects.enter('codeFencedFenceMeta') + effects.enter('chunkString', { + contentType: 'string' + }) + return meta(code) + } + + /** + * In meta. + * + * ```markdown + * > | ~~~js eval + * ^ + * | alert(1) + * | ~~~ + * ``` + * + * @type {State} + */ + function meta(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('chunkString') + effects.exit('codeFencedFenceMeta') + return infoBefore(code) + } + if (code === 96 && code === marker) { + return nok(code) + } + effects.consume(code) + return meta + } + + /** + * At eol/eof in code, before a non-lazy closing fence or content. + * + * ```markdown + * > | ~~~js + * ^ + * > | alert(1) + * ^ + * | ~~~ + * ``` + * + * @type {State} + */ + function atNonLazyBreak(code) { + return effects.attempt(closeStart, after, contentBefore)(code) + } + + /** + * Before code content, not a closing fence, at eol. + * + * ```markdown + * | ~~~js + * > | alert(1) + * ^ + * | ~~~ + * ``` + * + * @type {State} + */ + function contentBefore(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return contentStart + } + + /** + * Before code content, not a closing fence. + * + * ```markdown + * | ~~~js + * > | alert(1) + * ^ + * | ~~~ + * ``` + * + * @type {State} + */ + function contentStart(code) { + return initialPrefix > 0 && markdownSpace(code) + ? factorySpace( + effects, + beforeContentChunk, + 'linePrefix', + initialPrefix + 1 + )(code) + : beforeContentChunk(code) + } + + /** + * Before code content, after optional prefix. + * + * ```markdown + * | ~~~js + * > | alert(1) + * ^ + * | ~~~ + * ``` + * + * @type {State} + */ + function beforeContentChunk(code) { + if (code === null || markdownLineEnding(code)) { + return effects.check(nonLazyContinuation, atNonLazyBreak, after)(code) + } + effects.enter('codeFlowValue') + return contentChunk(code) + } + + /** + * In code content. + * + * ```markdown + * | ~~~js + * > | alert(1) + * ^^^^^^^^ + * | ~~~ + * ``` + * + * @type {State} + */ + function contentChunk(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('codeFlowValue') + return beforeContentChunk(code) + } + effects.consume(code) + return contentChunk + } + + /** + * After code. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + effects.exit('codeFenced') + return ok(code) + } + + /** + * @this {TokenizeContext} + * @type {Tokenizer} + */ + function tokenizeCloseStart(effects, ok, nok) { + let size = 0 + return startBefore + + /** + * + * + * @type {State} + */ + function startBefore(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return start + } + + /** + * Before closing fence, at optional whitespace. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + // Always populated by defaults. + + // To do: `enter` here or in next state? + effects.enter('codeFencedFence') + return markdownSpace(code) + ? factorySpace( + effects, + beforeSequenceClose, + 'linePrefix', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + )(code) + : beforeSequenceClose(code) + } + + /** + * In closing fence, after optional whitespace, at sequence. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function beforeSequenceClose(code) { + if (code === marker) { + effects.enter('codeFencedFenceSequence') + return sequenceClose(code) + } + return nok(code) + } + + /** + * In closing fence sequence. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function sequenceClose(code) { + if (code === marker) { + size++ + effects.consume(code) + return sequenceClose + } + if (size >= sizeOpen) { + effects.exit('codeFencedFenceSequence') + return markdownSpace(code) + ? factorySpace(effects, sequenceCloseAfter, 'whitespace')(code) + : sequenceCloseAfter(code) + } + return nok(code) + } + + /** + * After closing fence sequence, after optional whitespace. + * + * ```markdown + * | ~~~js + * | alert(1) + * > | ~~~ + * ^ + * ``` + * + * @type {State} + */ + function sequenceCloseAfter(code) { + if (code === null || markdownLineEnding(code)) { + effects.exit('codeFencedFence') + return ok(code) + } + return nok(code) + } + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeNonLazyContinuation(effects, ok, nok) { + const self = this + return start + + /** + * + * + * @type {State} + */ + function start(code) { + if (code === null) { + return nok(code) + } + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return lineStart + } + + /** + * + * + * @type {State} + */ + function lineStart(code) { + return self.parser.lazy[self.now().line] ? nok(code) : ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/character-entities/index.js +/** + * Map of named character references. + * + * @type {Record<string, string>} + */ +const characterEntities = { + AElig: 'Æ', + AMP: '&', + Aacute: 'Á', + Abreve: 'Ă', + Acirc: 'Â', + Acy: 'А', + Afr: '𝔄', + Agrave: 'À', + Alpha: 'Α', + Amacr: 'Ā', + And: '⩓', + Aogon: 'Ą', + Aopf: '𝔸', + ApplyFunction: '⁡', + Aring: 'Å', + Ascr: '𝒜', + Assign: '≔', + Atilde: 'Ã', + Auml: 'Ä', + Backslash: '∖', + Barv: '⫧', + Barwed: '⌆', + Bcy: 'Б', + Because: '∵', + Bernoullis: 'ℬ', + Beta: 'Β', + Bfr: '𝔅', + Bopf: '𝔹', + Breve: '˘', + Bscr: 'ℬ', + Bumpeq: '≎', + CHcy: 'Ч', + COPY: '©', + Cacute: 'Ć', + Cap: '⋒', + CapitalDifferentialD: 'ⅅ', + Cayleys: 'ℭ', + Ccaron: 'Č', + Ccedil: 'Ç', + Ccirc: 'Ĉ', + Cconint: '∰', + Cdot: 'Ċ', + Cedilla: '¸', + CenterDot: '·', + Cfr: 'ℭ', + Chi: 'Χ', + CircleDot: '⊙', + CircleMinus: '⊖', + CirclePlus: '⊕', + CircleTimes: '⊗', + ClockwiseContourIntegral: '∲', + CloseCurlyDoubleQuote: '”', + CloseCurlyQuote: '’', + Colon: '∷', + Colone: '⩴', + Congruent: '≡', + Conint: '∯', + ContourIntegral: '∮', + Copf: 'ℂ', + Coproduct: '∐', + CounterClockwiseContourIntegral: '∳', + Cross: '⨯', + Cscr: '𝒞', + Cup: '⋓', + CupCap: '≍', + DD: 'ⅅ', + DDotrahd: '⤑', + DJcy: 'Ђ', + DScy: 'Ѕ', + DZcy: 'Џ', + Dagger: '‡', + Darr: '↡', + Dashv: '⫤', + Dcaron: 'Ď', + Dcy: 'Д', + Del: '∇', + Delta: 'Δ', + Dfr: '𝔇', + DiacriticalAcute: '´', + DiacriticalDot: '˙', + DiacriticalDoubleAcute: '˝', + DiacriticalGrave: '`', + DiacriticalTilde: '˜', + Diamond: '⋄', + DifferentialD: 'ⅆ', + Dopf: '𝔻', + Dot: '¨', + DotDot: '⃜', + DotEqual: '≐', + DoubleContourIntegral: '∯', + DoubleDot: '¨', + DoubleDownArrow: '⇓', + DoubleLeftArrow: '⇐', + DoubleLeftRightArrow: '⇔', + DoubleLeftTee: '⫤', + DoubleLongLeftArrow: '⟸', + DoubleLongLeftRightArrow: '⟺', + DoubleLongRightArrow: '⟹', + DoubleRightArrow: '⇒', + DoubleRightTee: '⊨', + DoubleUpArrow: '⇑', + DoubleUpDownArrow: '⇕', + DoubleVerticalBar: '∥', + DownArrow: '↓', + DownArrowBar: '⤓', + DownArrowUpArrow: '⇵', + DownBreve: '̑', + DownLeftRightVector: '⥐', + DownLeftTeeVector: '⥞', + DownLeftVector: '↽', + DownLeftVectorBar: '⥖', + DownRightTeeVector: '⥟', + DownRightVector: '⇁', + DownRightVectorBar: '⥗', + DownTee: '⊤', + DownTeeArrow: '↧', + Downarrow: '⇓', + Dscr: '𝒟', + Dstrok: 'Đ', + ENG: 'Ŋ', + ETH: 'Ð', + Eacute: 'É', + Ecaron: 'Ě', + Ecirc: 'Ê', + Ecy: 'Э', + Edot: 'Ė', + Efr: '𝔈', + Egrave: 'È', + Element: '∈', + Emacr: 'Ē', + EmptySmallSquare: '◻', + EmptyVerySmallSquare: '▫', + Eogon: 'Ę', + Eopf: '𝔼', + Epsilon: 'Ε', + Equal: '⩵', + EqualTilde: '≂', + Equilibrium: '⇌', + Escr: 'ℰ', + Esim: '⩳', + Eta: 'Η', + Euml: 'Ë', + Exists: '∃', + ExponentialE: 'ⅇ', + Fcy: 'Ф', + Ffr: '𝔉', + FilledSmallSquare: '◼', + FilledVerySmallSquare: '▪', + Fopf: '𝔽', + ForAll: '∀', + Fouriertrf: 'ℱ', + Fscr: 'ℱ', + GJcy: 'Ѓ', + GT: '>', + Gamma: 'Γ', + Gammad: 'Ϝ', + Gbreve: 'Ğ', + Gcedil: 'Ģ', + Gcirc: 'Ĝ', + Gcy: 'Г', + Gdot: 'Ġ', + Gfr: '𝔊', + Gg: '⋙', + Gopf: '𝔾', + GreaterEqual: '≥', + GreaterEqualLess: '⋛', + GreaterFullEqual: '≧', + GreaterGreater: '⪢', + GreaterLess: '≷', + GreaterSlantEqual: '⩾', + GreaterTilde: '≳', + Gscr: '𝒢', + Gt: '≫', + HARDcy: 'Ъ', + Hacek: 'ˇ', + Hat: '^', + Hcirc: 'Ĥ', + Hfr: 'ℌ', + HilbertSpace: 'ℋ', + Hopf: 'ℍ', + HorizontalLine: '─', + Hscr: 'ℋ', + Hstrok: 'Ħ', + HumpDownHump: '≎', + HumpEqual: '≏', + IEcy: 'Е', + IJlig: 'IJ', + IOcy: 'Ё', + Iacute: 'Í', + Icirc: 'Î', + Icy: 'И', + Idot: 'İ', + Ifr: 'ℑ', + Igrave: 'Ì', + Im: 'ℑ', + Imacr: 'Ī', + ImaginaryI: 'ⅈ', + Implies: '⇒', + Int: '∬', + Integral: '∫', + Intersection: '⋂', + InvisibleComma: '⁣', + InvisibleTimes: '⁢', + Iogon: 'Į', + Iopf: '𝕀', + Iota: 'Ι', + Iscr: 'ℐ', + Itilde: 'Ĩ', + Iukcy: 'І', + Iuml: 'Ï', + Jcirc: 'Ĵ', + Jcy: 'Й', + Jfr: '𝔍', + Jopf: '𝕁', + Jscr: '𝒥', + Jsercy: 'Ј', + Jukcy: 'Є', + KHcy: 'Х', + KJcy: 'Ќ', + Kappa: 'Κ', + Kcedil: 'Ķ', + Kcy: 'К', + Kfr: '𝔎', + Kopf: '𝕂', + Kscr: '𝒦', + LJcy: 'Љ', + LT: '<', + Lacute: 'Ĺ', + Lambda: 'Λ', + Lang: '⟪', + Laplacetrf: 'ℒ', + Larr: '↞', + Lcaron: 'Ľ', + Lcedil: 'Ļ', + Lcy: 'Л', + LeftAngleBracket: '⟨', + LeftArrow: '←', + LeftArrowBar: '⇤', + LeftArrowRightArrow: '⇆', + LeftCeiling: '⌈', + LeftDoubleBracket: '⟦', + LeftDownTeeVector: '⥡', + LeftDownVector: '⇃', + LeftDownVectorBar: '⥙', + LeftFloor: '⌊', + LeftRightArrow: '↔', + LeftRightVector: '⥎', + LeftTee: '⊣', + LeftTeeArrow: '↤', + LeftTeeVector: '⥚', + LeftTriangle: '⊲', + LeftTriangleBar: '⧏', + LeftTriangleEqual: '⊴', + LeftUpDownVector: '⥑', + LeftUpTeeVector: '⥠', + LeftUpVector: '↿', + LeftUpVectorBar: '⥘', + LeftVector: '↼', + LeftVectorBar: '⥒', + Leftarrow: '⇐', + Leftrightarrow: '⇔', + LessEqualGreater: '⋚', + LessFullEqual: '≦', + LessGreater: '≶', + LessLess: '⪡', + LessSlantEqual: '⩽', + LessTilde: '≲', + Lfr: '𝔏', + Ll: '⋘', + Lleftarrow: '⇚', + Lmidot: 'Ŀ', + LongLeftArrow: '⟵', + LongLeftRightArrow: '⟷', + LongRightArrow: '⟶', + Longleftarrow: '⟸', + Longleftrightarrow: '⟺', + Longrightarrow: '⟹', + Lopf: '𝕃', + LowerLeftArrow: '↙', + LowerRightArrow: '↘', + Lscr: 'ℒ', + Lsh: '↰', + Lstrok: 'Ł', + Lt: '≪', + Map: '⤅', + Mcy: 'М', + MediumSpace: ' ', + Mellintrf: 'ℳ', + Mfr: '𝔐', + MinusPlus: '∓', + Mopf: '𝕄', + Mscr: 'ℳ', + Mu: 'Μ', + NJcy: 'Њ', + Nacute: 'Ń', + Ncaron: 'Ň', + Ncedil: 'Ņ', + Ncy: 'Н', + NegativeMediumSpace: '​', + NegativeThickSpace: '​', + NegativeThinSpace: '​', + NegativeVeryThinSpace: '​', + NestedGreaterGreater: '≫', + NestedLessLess: '≪', + NewLine: '\n', + Nfr: '𝔑', + NoBreak: '⁠', + NonBreakingSpace: ' ', + Nopf: 'ℕ', + Not: '⫬', + NotCongruent: '≢', + NotCupCap: '≭', + NotDoubleVerticalBar: '∦', + NotElement: '∉', + NotEqual: '≠', + NotEqualTilde: '≂̸', + NotExists: '∄', + NotGreater: '≯', + NotGreaterEqual: '≱', + NotGreaterFullEqual: '≧̸', + NotGreaterGreater: '≫̸', + NotGreaterLess: '≹', + NotGreaterSlantEqual: '⩾̸', + NotGreaterTilde: '≵', + NotHumpDownHump: '≎̸', + NotHumpEqual: '≏̸', + NotLeftTriangle: '⋪', + NotLeftTriangleBar: '⧏̸', + NotLeftTriangleEqual: '⋬', + NotLess: '≮', + NotLessEqual: '≰', + NotLessGreater: '≸', + NotLessLess: '≪̸', + NotLessSlantEqual: '⩽̸', + NotLessTilde: '≴', + NotNestedGreaterGreater: '⪢̸', + NotNestedLessLess: '⪡̸', + NotPrecedes: '⊀', + NotPrecedesEqual: '⪯̸', + NotPrecedesSlantEqual: '⋠', + NotReverseElement: '∌', + NotRightTriangle: '⋫', + NotRightTriangleBar: '⧐̸', + NotRightTriangleEqual: '⋭', + NotSquareSubset: '⊏̸', + NotSquareSubsetEqual: '⋢', + NotSquareSuperset: '⊐̸', + NotSquareSupersetEqual: '⋣', + NotSubset: '⊂⃒', + NotSubsetEqual: '⊈', + NotSucceeds: '⊁', + NotSucceedsEqual: '⪰̸', + NotSucceedsSlantEqual: '⋡', + NotSucceedsTilde: '≿̸', + NotSuperset: '⊃⃒', + NotSupersetEqual: '⊉', + NotTilde: '≁', + NotTildeEqual: '≄', + NotTildeFullEqual: '≇', + NotTildeTilde: '≉', + NotVerticalBar: '∤', + Nscr: '𝒩', + Ntilde: 'Ñ', + Nu: 'Ν', + OElig: 'Œ', + Oacute: 'Ó', + Ocirc: 'Ô', + Ocy: 'О', + Odblac: 'Ő', + Ofr: '𝔒', + Ograve: 'Ò', + Omacr: 'Ō', + Omega: 'Ω', + Omicron: 'Ο', + Oopf: '𝕆', + OpenCurlyDoubleQuote: '“', + OpenCurlyQuote: '‘', + Or: '⩔', + Oscr: '𝒪', + Oslash: 'Ø', + Otilde: 'Õ', + Otimes: '⨷', + Ouml: 'Ö', + OverBar: '‾', + OverBrace: '⏞', + OverBracket: '⎴', + OverParenthesis: '⏜', + PartialD: '∂', + Pcy: 'П', + Pfr: '𝔓', + Phi: 'Φ', + Pi: 'Π', + PlusMinus: '±', + Poincareplane: 'ℌ', + Popf: 'ℙ', + Pr: '⪻', + Precedes: '≺', + PrecedesEqual: '⪯', + PrecedesSlantEqual: '≼', + PrecedesTilde: '≾', + Prime: '″', + Product: '∏', + Proportion: '∷', + Proportional: '∝', + Pscr: '𝒫', + Psi: 'Ψ', + QUOT: '"', + Qfr: '𝔔', + Qopf: 'ℚ', + Qscr: '𝒬', + RBarr: '⤐', + REG: '®', + Racute: 'Ŕ', + Rang: '⟫', + Rarr: '↠', + Rarrtl: '⤖', + Rcaron: 'Ř', + Rcedil: 'Ŗ', + Rcy: 'Р', + Re: 'ℜ', + ReverseElement: '∋', + ReverseEquilibrium: '⇋', + ReverseUpEquilibrium: '⥯', + Rfr: 'ℜ', + Rho: 'Ρ', + RightAngleBracket: '⟩', + RightArrow: '→', + RightArrowBar: '⇥', + RightArrowLeftArrow: '⇄', + RightCeiling: '⌉', + RightDoubleBracket: '⟧', + RightDownTeeVector: '⥝', + RightDownVector: '⇂', + RightDownVectorBar: '⥕', + RightFloor: '⌋', + RightTee: '⊢', + RightTeeArrow: '↦', + RightTeeVector: '⥛', + RightTriangle: '⊳', + RightTriangleBar: '⧐', + RightTriangleEqual: '⊵', + RightUpDownVector: '⥏', + RightUpTeeVector: '⥜', + RightUpVector: '↾', + RightUpVectorBar: '⥔', + RightVector: '⇀', + RightVectorBar: '⥓', + Rightarrow: '⇒', + Ropf: 'ℝ', + RoundImplies: '⥰', + Rrightarrow: '⇛', + Rscr: 'ℛ', + Rsh: '↱', + RuleDelayed: '⧴', + SHCHcy: 'Щ', + SHcy: 'Ш', + SOFTcy: 'Ь', + Sacute: 'Ś', + Sc: '⪼', + Scaron: 'Š', + Scedil: 'Ş', + Scirc: 'Ŝ', + Scy: 'С', + Sfr: '𝔖', + ShortDownArrow: '↓', + ShortLeftArrow: '←', + ShortRightArrow: '→', + ShortUpArrow: '↑', + Sigma: 'Σ', + SmallCircle: '∘', + Sopf: '𝕊', + Sqrt: '√', + Square: '□', + SquareIntersection: '⊓', + SquareSubset: '⊏', + SquareSubsetEqual: '⊑', + SquareSuperset: '⊐', + SquareSupersetEqual: '⊒', + SquareUnion: '⊔', + Sscr: '𝒮', + Star: '⋆', + Sub: '⋐', + Subset: '⋐', + SubsetEqual: '⊆', + Succeeds: '≻', + SucceedsEqual: '⪰', + SucceedsSlantEqual: '≽', + SucceedsTilde: '≿', + SuchThat: '∋', + Sum: '∑', + Sup: '⋑', + Superset: '⊃', + SupersetEqual: '⊇', + Supset: '⋑', + THORN: 'Þ', + TRADE: '™', + TSHcy: 'Ћ', + TScy: 'Ц', + Tab: '\t', + Tau: 'Τ', + Tcaron: 'Ť', + Tcedil: 'Ţ', + Tcy: 'Т', + Tfr: '𝔗', + Therefore: '∴', + Theta: 'Θ', + ThickSpace: '  ', + ThinSpace: ' ', + Tilde: '∼', + TildeEqual: '≃', + TildeFullEqual: '≅', + TildeTilde: '≈', + Topf: '𝕋', + TripleDot: '⃛', + Tscr: '𝒯', + Tstrok: 'Ŧ', + Uacute: 'Ú', + Uarr: '↟', + Uarrocir: '⥉', + Ubrcy: 'Ў', + Ubreve: 'Ŭ', + Ucirc: 'Û', + Ucy: 'У', + Udblac: 'Ű', + Ufr: '𝔘', + Ugrave: 'Ù', + Umacr: 'Ū', + UnderBar: '_', + UnderBrace: '⏟', + UnderBracket: '⎵', + UnderParenthesis: '⏝', + Union: '⋃', + UnionPlus: '⊎', + Uogon: 'Ų', + Uopf: '𝕌', + UpArrow: '↑', + UpArrowBar: '⤒', + UpArrowDownArrow: '⇅', + UpDownArrow: '↕', + UpEquilibrium: '⥮', + UpTee: '⊥', + UpTeeArrow: '↥', + Uparrow: '⇑', + Updownarrow: '⇕', + UpperLeftArrow: '↖', + UpperRightArrow: '↗', + Upsi: 'ϒ', + Upsilon: 'Υ', + Uring: 'Ů', + Uscr: '𝒰', + Utilde: 'Ũ', + Uuml: 'Ü', + VDash: '⊫', + Vbar: '⫫', + Vcy: 'В', + Vdash: '⊩', + Vdashl: '⫦', + Vee: '⋁', + Verbar: '‖', + Vert: '‖', + VerticalBar: '∣', + VerticalLine: '|', + VerticalSeparator: '❘', + VerticalTilde: '≀', + VeryThinSpace: ' ', + Vfr: '𝔙', + Vopf: '𝕍', + Vscr: '𝒱', + Vvdash: '⊪', + Wcirc: 'Ŵ', + Wedge: '⋀', + Wfr: '𝔚', + Wopf: '𝕎', + Wscr: '𝒲', + Xfr: '𝔛', + Xi: 'Ξ', + Xopf: '𝕏', + Xscr: '𝒳', + YAcy: 'Я', + YIcy: 'Ї', + YUcy: 'Ю', + Yacute: 'Ý', + Ycirc: 'Ŷ', + Ycy: 'Ы', + Yfr: '𝔜', + Yopf: '𝕐', + Yscr: '𝒴', + Yuml: 'Ÿ', + ZHcy: 'Ж', + Zacute: 'Ź', + Zcaron: 'Ž', + Zcy: 'З', + Zdot: 'Ż', + ZeroWidthSpace: '​', + Zeta: 'Ζ', + Zfr: 'ℨ', + Zopf: 'ℤ', + Zscr: '𝒵', + aacute: 'á', + abreve: 'ă', + ac: '∾', + acE: '∾̳', + acd: '∿', + acirc: 'â', + acute: '´', + acy: 'а', + aelig: 'æ', + af: '⁡', + afr: '𝔞', + agrave: 'à', + alefsym: 'ℵ', + aleph: 'ℵ', + alpha: 'α', + amacr: 'ā', + amalg: '⨿', + amp: '&', + and: '∧', + andand: '⩕', + andd: '⩜', + andslope: '⩘', + andv: '⩚', + ang: '∠', + ange: '⦤', + angle: '∠', + angmsd: '∡', + angmsdaa: '⦨', + angmsdab: '⦩', + angmsdac: '⦪', + angmsdad: '⦫', + angmsdae: '⦬', + angmsdaf: '⦭', + angmsdag: '⦮', + angmsdah: '⦯', + angrt: '∟', + angrtvb: '⊾', + angrtvbd: '⦝', + angsph: '∢', + angst: 'Å', + angzarr: '⍼', + aogon: 'ą', + aopf: '𝕒', + ap: '≈', + apE: '⩰', + apacir: '⩯', + ape: '≊', + apid: '≋', + apos: "'", + approx: '≈', + approxeq: '≊', + aring: 'å', + ascr: '𝒶', + ast: '*', + asymp: '≈', + asympeq: '≍', + atilde: 'ã', + auml: 'ä', + awconint: '∳', + awint: '⨑', + bNot: '⫭', + backcong: '≌', + backepsilon: '϶', + backprime: '‵', + backsim: '∽', + backsimeq: '⋍', + barvee: '⊽', + barwed: '⌅', + barwedge: '⌅', + bbrk: '⎵', + bbrktbrk: '⎶', + bcong: '≌', + bcy: 'б', + bdquo: '„', + becaus: '∵', + because: '∵', + bemptyv: '⦰', + bepsi: '϶', + bernou: 'ℬ', + beta: 'β', + beth: 'ℶ', + between: '≬', + bfr: '𝔟', + bigcap: '⋂', + bigcirc: '◯', + bigcup: '⋃', + bigodot: '⨀', + bigoplus: '⨁', + bigotimes: '⨂', + bigsqcup: '⨆', + bigstar: '★', + bigtriangledown: '▽', + bigtriangleup: '△', + biguplus: '⨄', + bigvee: '⋁', + bigwedge: '⋀', + bkarow: '⤍', + blacklozenge: '⧫', + blacksquare: '▪', + blacktriangle: '▴', + blacktriangledown: '▾', + blacktriangleleft: '◂', + blacktriangleright: '▸', + blank: '␣', + blk12: '▒', + blk14: '░', + blk34: '▓', + block: '█', + bne: '=⃥', + bnequiv: '≡⃥', + bnot: '⌐', + bopf: '𝕓', + bot: '⊥', + bottom: '⊥', + bowtie: '⋈', + boxDL: '╗', + boxDR: '╔', + boxDl: '╖', + boxDr: '╓', + boxH: '═', + boxHD: '╦', + boxHU: '╩', + boxHd: '╤', + boxHu: '╧', + boxUL: '╝', + boxUR: '╚', + boxUl: '╜', + boxUr: '╙', + boxV: '║', + boxVH: '╬', + boxVL: '╣', + boxVR: '╠', + boxVh: '╫', + boxVl: '╢', + boxVr: '╟', + boxbox: '⧉', + boxdL: '╕', + boxdR: '╒', + boxdl: '┐', + boxdr: '┌', + boxh: '─', + boxhD: '╥', + boxhU: '╨', + boxhd: '┬', + boxhu: '┴', + boxminus: '⊟', + boxplus: '⊞', + boxtimes: '⊠', + boxuL: '╛', + boxuR: '╘', + boxul: '┘', + boxur: '└', + boxv: '│', + boxvH: '╪', + boxvL: '╡', + boxvR: '╞', + boxvh: '┼', + boxvl: '┤', + boxvr: '├', + bprime: '‵', + breve: '˘', + brvbar: '¦', + bscr: '𝒷', + bsemi: '⁏', + bsim: '∽', + bsime: '⋍', + bsol: '\\', + bsolb: '⧅', + bsolhsub: '⟈', + bull: '•', + bullet: '•', + bump: '≎', + bumpE: '⪮', + bumpe: '≏', + bumpeq: '≏', + cacute: 'ć', + cap: '∩', + capand: '⩄', + capbrcup: '⩉', + capcap: '⩋', + capcup: '⩇', + capdot: '⩀', + caps: '∩︀', + caret: '⁁', + caron: 'ˇ', + ccaps: '⩍', + ccaron: 'č', + ccedil: 'ç', + ccirc: 'ĉ', + ccups: '⩌', + ccupssm: '⩐', + cdot: 'ċ', + cedil: '¸', + cemptyv: '⦲', + cent: '¢', + centerdot: '·', + cfr: '𝔠', + chcy: 'ч', + check: '✓', + checkmark: '✓', + chi: 'χ', + cir: '○', + cirE: '⧃', + circ: 'ˆ', + circeq: '≗', + circlearrowleft: '↺', + circlearrowright: '↻', + circledR: '®', + circledS: 'Ⓢ', + circledast: '⊛', + circledcirc: '⊚', + circleddash: '⊝', + cire: '≗', + cirfnint: '⨐', + cirmid: '⫯', + cirscir: '⧂', + clubs: '♣', + clubsuit: '♣', + colon: ':', + colone: '≔', + coloneq: '≔', + comma: ',', + commat: '@', + comp: '∁', + compfn: '∘', + complement: '∁', + complexes: 'ℂ', + cong: '≅', + congdot: '⩭', + conint: '∮', + copf: '𝕔', + coprod: '∐', + copy: '©', + copysr: '℗', + crarr: '↵', + cross: '✗', + cscr: '𝒸', + csub: '⫏', + csube: '⫑', + csup: '⫐', + csupe: '⫒', + ctdot: '⋯', + cudarrl: '⤸', + cudarrr: '⤵', + cuepr: '⋞', + cuesc: '⋟', + cularr: '↶', + cularrp: '⤽', + cup: '∪', + cupbrcap: '⩈', + cupcap: '⩆', + cupcup: '⩊', + cupdot: '⊍', + cupor: '⩅', + cups: '∪︀', + curarr: '↷', + curarrm: '⤼', + curlyeqprec: '⋞', + curlyeqsucc: '⋟', + curlyvee: '⋎', + curlywedge: '⋏', + curren: '¤', + curvearrowleft: '↶', + curvearrowright: '↷', + cuvee: '⋎', + cuwed: '⋏', + cwconint: '∲', + cwint: '∱', + cylcty: '⌭', + dArr: '⇓', + dHar: '⥥', + dagger: '†', + daleth: 'ℸ', + darr: '↓', + dash: '‐', + dashv: '⊣', + dbkarow: '⤏', + dblac: '˝', + dcaron: 'ď', + dcy: 'д', + dd: 'ⅆ', + ddagger: '‡', + ddarr: '⇊', + ddotseq: '⩷', + deg: '°', + delta: 'δ', + demptyv: '⦱', + dfisht: '⥿', + dfr: '𝔡', + dharl: '⇃', + dharr: '⇂', + diam: '⋄', + diamond: '⋄', + diamondsuit: '♦', + diams: '♦', + die: '¨', + digamma: 'ϝ', + disin: '⋲', + div: '÷', + divide: '÷', + divideontimes: '⋇', + divonx: '⋇', + djcy: 'ђ', + dlcorn: '⌞', + dlcrop: '⌍', + dollar: '$', + dopf: '𝕕', + dot: '˙', + doteq: '≐', + doteqdot: '≑', + dotminus: '∸', + dotplus: '∔', + dotsquare: '⊡', + doublebarwedge: '⌆', + downarrow: '↓', + downdownarrows: '⇊', + downharpoonleft: '⇃', + downharpoonright: '⇂', + drbkarow: '⤐', + drcorn: '⌟', + drcrop: '⌌', + dscr: '𝒹', + dscy: 'ѕ', + dsol: '⧶', + dstrok: 'đ', + dtdot: '⋱', + dtri: '▿', + dtrif: '▾', + duarr: '⇵', + duhar: '⥯', + dwangle: '⦦', + dzcy: 'џ', + dzigrarr: '⟿', + eDDot: '⩷', + eDot: '≑', + eacute: 'é', + easter: '⩮', + ecaron: 'ě', + ecir: '≖', + ecirc: 'ê', + ecolon: '≕', + ecy: 'э', + edot: 'ė', + ee: 'ⅇ', + efDot: '≒', + efr: '𝔢', + eg: '⪚', + egrave: 'è', + egs: '⪖', + egsdot: '⪘', + el: '⪙', + elinters: '⏧', + ell: 'ℓ', + els: '⪕', + elsdot: '⪗', + emacr: 'ē', + empty: '∅', + emptyset: '∅', + emptyv: '∅', + emsp13: ' ', + emsp14: ' ', + emsp: ' ', + eng: 'ŋ', + ensp: ' ', + eogon: 'ę', + eopf: '𝕖', + epar: '⋕', + eparsl: '⧣', + eplus: '⩱', + epsi: 'ε', + epsilon: 'ε', + epsiv: 'ϵ', + eqcirc: '≖', + eqcolon: '≕', + eqsim: '≂', + eqslantgtr: '⪖', + eqslantless: '⪕', + equals: '=', + equest: '≟', + equiv: '≡', + equivDD: '⩸', + eqvparsl: '⧥', + erDot: '≓', + erarr: '⥱', + escr: 'ℯ', + esdot: '≐', + esim: '≂', + eta: 'η', + eth: 'ð', + euml: 'ë', + euro: '€', + excl: '!', + exist: '∃', + expectation: 'ℰ', + exponentiale: 'ⅇ', + fallingdotseq: '≒', + fcy: 'ф', + female: '♀', + ffilig: 'ffi', + fflig: 'ff', + ffllig: 'ffl', + ffr: '𝔣', + filig: 'fi', + fjlig: 'fj', + flat: '♭', + fllig: 'fl', + fltns: '▱', + fnof: 'ƒ', + fopf: '𝕗', + forall: '∀', + fork: '⋔', + forkv: '⫙', + fpartint: '⨍', + frac12: '½', + frac13: '⅓', + frac14: '¼', + frac15: '⅕', + frac16: '⅙', + frac18: '⅛', + frac23: '⅔', + frac25: '⅖', + frac34: '¾', + frac35: '⅗', + frac38: '⅜', + frac45: '⅘', + frac56: '⅚', + frac58: '⅝', + frac78: '⅞', + frasl: '⁄', + frown: '⌢', + fscr: '𝒻', + gE: '≧', + gEl: '⪌', + gacute: 'ǵ', + gamma: 'γ', + gammad: 'ϝ', + gap: '⪆', + gbreve: 'ğ', + gcirc: 'ĝ', + gcy: 'г', + gdot: 'ġ', + ge: '≥', + gel: '⋛', + geq: '≥', + geqq: '≧', + geqslant: '⩾', + ges: '⩾', + gescc: '⪩', + gesdot: '⪀', + gesdoto: '⪂', + gesdotol: '⪄', + gesl: '⋛︀', + gesles: '⪔', + gfr: '𝔤', + gg: '≫', + ggg: '⋙', + gimel: 'ℷ', + gjcy: 'ѓ', + gl: '≷', + glE: '⪒', + gla: '⪥', + glj: '⪤', + gnE: '≩', + gnap: '⪊', + gnapprox: '⪊', + gne: '⪈', + gneq: '⪈', + gneqq: '≩', + gnsim: '⋧', + gopf: '𝕘', + grave: '`', + gscr: 'ℊ', + gsim: '≳', + gsime: '⪎', + gsiml: '⪐', + gt: '>', + gtcc: '⪧', + gtcir: '⩺', + gtdot: '⋗', + gtlPar: '⦕', + gtquest: '⩼', + gtrapprox: '⪆', + gtrarr: '⥸', + gtrdot: '⋗', + gtreqless: '⋛', + gtreqqless: '⪌', + gtrless: '≷', + gtrsim: '≳', + gvertneqq: '≩︀', + gvnE: '≩︀', + hArr: '⇔', + hairsp: ' ', + half: '½', + hamilt: 'ℋ', + hardcy: 'ъ', + harr: '↔', + harrcir: '⥈', + harrw: '↭', + hbar: 'ℏ', + hcirc: 'ĥ', + hearts: '♥', + heartsuit: '♥', + hellip: '…', + hercon: '⊹', + hfr: '𝔥', + hksearow: '⤥', + hkswarow: '⤦', + hoarr: '⇿', + homtht: '∻', + hookleftarrow: '↩', + hookrightarrow: '↪', + hopf: '𝕙', + horbar: '―', + hscr: '𝒽', + hslash: 'ℏ', + hstrok: 'ħ', + hybull: '⁃', + hyphen: '‐', + iacute: 'í', + ic: '⁣', + icirc: 'î', + icy: 'и', + iecy: 'е', + iexcl: '¡', + iff: '⇔', + ifr: '𝔦', + igrave: 'ì', + ii: 'ⅈ', + iiiint: '⨌', + iiint: '∭', + iinfin: '⧜', + iiota: '℩', + ijlig: 'ij', + imacr: 'ī', + image: 'ℑ', + imagline: 'ℐ', + imagpart: 'ℑ', + imath: 'ı', + imof: '⊷', + imped: 'Ƶ', + in: '∈', + incare: '℅', + infin: '∞', + infintie: '⧝', + inodot: 'ı', + int: '∫', + intcal: '⊺', + integers: 'ℤ', + intercal: '⊺', + intlarhk: '⨗', + intprod: '⨼', + iocy: 'ё', + iogon: 'į', + iopf: '𝕚', + iota: 'ι', + iprod: '⨼', + iquest: '¿', + iscr: '𝒾', + isin: '∈', + isinE: '⋹', + isindot: '⋵', + isins: '⋴', + isinsv: '⋳', + isinv: '∈', + it: '⁢', + itilde: 'ĩ', + iukcy: 'і', + iuml: 'ï', + jcirc: 'ĵ', + jcy: 'й', + jfr: '𝔧', + jmath: 'ȷ', + jopf: '𝕛', + jscr: '𝒿', + jsercy: 'ј', + jukcy: 'є', + kappa: 'κ', + kappav: 'ϰ', + kcedil: 'ķ', + kcy: 'к', + kfr: '𝔨', + kgreen: 'ĸ', + khcy: 'х', + kjcy: 'ќ', + kopf: '𝕜', + kscr: '𝓀', + lAarr: '⇚', + lArr: '⇐', + lAtail: '⤛', + lBarr: '⤎', + lE: '≦', + lEg: '⪋', + lHar: '⥢', + lacute: 'ĺ', + laemptyv: '⦴', + lagran: 'ℒ', + lambda: 'λ', + lang: '⟨', + langd: '⦑', + langle: '⟨', + lap: '⪅', + laquo: '«', + larr: '←', + larrb: '⇤', + larrbfs: '⤟', + larrfs: '⤝', + larrhk: '↩', + larrlp: '↫', + larrpl: '⤹', + larrsim: '⥳', + larrtl: '↢', + lat: '⪫', + latail: '⤙', + late: '⪭', + lates: '⪭︀', + lbarr: '⤌', + lbbrk: '❲', + lbrace: '{', + lbrack: '[', + lbrke: '⦋', + lbrksld: '⦏', + lbrkslu: '⦍', + lcaron: 'ľ', + lcedil: 'ļ', + lceil: '⌈', + lcub: '{', + lcy: 'л', + ldca: '⤶', + ldquo: '“', + ldquor: '„', + ldrdhar: '⥧', + ldrushar: '⥋', + ldsh: '↲', + le: '≤', + leftarrow: '←', + leftarrowtail: '↢', + leftharpoondown: '↽', + leftharpoonup: '↼', + leftleftarrows: '⇇', + leftrightarrow: '↔', + leftrightarrows: '⇆', + leftrightharpoons: '⇋', + leftrightsquigarrow: '↭', + leftthreetimes: '⋋', + leg: '⋚', + leq: '≤', + leqq: '≦', + leqslant: '⩽', + les: '⩽', + lescc: '⪨', + lesdot: '⩿', + lesdoto: '⪁', + lesdotor: '⪃', + lesg: '⋚︀', + lesges: '⪓', + lessapprox: '⪅', + lessdot: '⋖', + lesseqgtr: '⋚', + lesseqqgtr: '⪋', + lessgtr: '≶', + lesssim: '≲', + lfisht: '⥼', + lfloor: '⌊', + lfr: '𝔩', + lg: '≶', + lgE: '⪑', + lhard: '↽', + lharu: '↼', + lharul: '⥪', + lhblk: '▄', + ljcy: 'љ', + ll: '≪', + llarr: '⇇', + llcorner: '⌞', + llhard: '⥫', + lltri: '◺', + lmidot: 'ŀ', + lmoust: '⎰', + lmoustache: '⎰', + lnE: '≨', + lnap: '⪉', + lnapprox: '⪉', + lne: '⪇', + lneq: '⪇', + lneqq: '≨', + lnsim: '⋦', + loang: '⟬', + loarr: '⇽', + lobrk: '⟦', + longleftarrow: '⟵', + longleftrightarrow: '⟷', + longmapsto: '⟼', + longrightarrow: '⟶', + looparrowleft: '↫', + looparrowright: '↬', + lopar: '⦅', + lopf: '𝕝', + loplus: '⨭', + lotimes: '⨴', + lowast: '∗', + lowbar: '_', + loz: '◊', + lozenge: '◊', + lozf: '⧫', + lpar: '(', + lparlt: '⦓', + lrarr: '⇆', + lrcorner: '⌟', + lrhar: '⇋', + lrhard: '⥭', + lrm: '‎', + lrtri: '⊿', + lsaquo: '‹', + lscr: '𝓁', + lsh: '↰', + lsim: '≲', + lsime: '⪍', + lsimg: '⪏', + lsqb: '[', + lsquo: '‘', + lsquor: '‚', + lstrok: 'ł', + lt: '<', + ltcc: '⪦', + ltcir: '⩹', + ltdot: '⋖', + lthree: '⋋', + ltimes: '⋉', + ltlarr: '⥶', + ltquest: '⩻', + ltrPar: '⦖', + ltri: '◃', + ltrie: '⊴', + ltrif: '◂', + lurdshar: '⥊', + luruhar: '⥦', + lvertneqq: '≨︀', + lvnE: '≨︀', + mDDot: '∺', + macr: '¯', + male: '♂', + malt: '✠', + maltese: '✠', + map: '↦', + mapsto: '↦', + mapstodown: '↧', + mapstoleft: '↤', + mapstoup: '↥', + marker: '▮', + mcomma: '⨩', + mcy: 'м', + mdash: '—', + measuredangle: '∡', + mfr: '𝔪', + mho: '℧', + micro: 'µ', + mid: '∣', + midast: '*', + midcir: '⫰', + middot: '·', + minus: '−', + minusb: '⊟', + minusd: '∸', + minusdu: '⨪', + mlcp: '⫛', + mldr: '…', + mnplus: '∓', + models: '⊧', + mopf: '𝕞', + mp: '∓', + mscr: '𝓂', + mstpos: '∾', + mu: 'μ', + multimap: '⊸', + mumap: '⊸', + nGg: '⋙̸', + nGt: '≫⃒', + nGtv: '≫̸', + nLeftarrow: '⇍', + nLeftrightarrow: '⇎', + nLl: '⋘̸', + nLt: '≪⃒', + nLtv: '≪̸', + nRightarrow: '⇏', + nVDash: '⊯', + nVdash: '⊮', + nabla: '∇', + nacute: 'ń', + nang: '∠⃒', + nap: '≉', + napE: '⩰̸', + napid: '≋̸', + napos: 'ʼn', + napprox: '≉', + natur: '♮', + natural: '♮', + naturals: 'ℕ', + nbsp: ' ', + nbump: '≎̸', + nbumpe: '≏̸', + ncap: '⩃', + ncaron: 'ň', + ncedil: 'ņ', + ncong: '≇', + ncongdot: '⩭̸', + ncup: '⩂', + ncy: 'н', + ndash: '–', + ne: '≠', + neArr: '⇗', + nearhk: '⤤', + nearr: '↗', + nearrow: '↗', + nedot: '≐̸', + nequiv: '≢', + nesear: '⤨', + nesim: '≂̸', + nexist: '∄', + nexists: '∄', + nfr: '𝔫', + ngE: '≧̸', + nge: '≱', + ngeq: '≱', + ngeqq: '≧̸', + ngeqslant: '⩾̸', + nges: '⩾̸', + ngsim: '≵', + ngt: '≯', + ngtr: '≯', + nhArr: '⇎', + nharr: '↮', + nhpar: '⫲', + ni: '∋', + nis: '⋼', + nisd: '⋺', + niv: '∋', + njcy: 'њ', + nlArr: '⇍', + nlE: '≦̸', + nlarr: '↚', + nldr: '‥', + nle: '≰', + nleftarrow: '↚', + nleftrightarrow: '↮', + nleq: '≰', + nleqq: '≦̸', + nleqslant: '⩽̸', + nles: '⩽̸', + nless: '≮', + nlsim: '≴', + nlt: '≮', + nltri: '⋪', + nltrie: '⋬', + nmid: '∤', + nopf: '𝕟', + not: '¬', + notin: '∉', + notinE: '⋹̸', + notindot: '⋵̸', + notinva: '∉', + notinvb: '⋷', + notinvc: '⋶', + notni: '∌', + notniva: '∌', + notnivb: '⋾', + notnivc: '⋽', + npar: '∦', + nparallel: '∦', + nparsl: '⫽⃥', + npart: '∂̸', + npolint: '⨔', + npr: '⊀', + nprcue: '⋠', + npre: '⪯̸', + nprec: '⊀', + npreceq: '⪯̸', + nrArr: '⇏', + nrarr: '↛', + nrarrc: '⤳̸', + nrarrw: '↝̸', + nrightarrow: '↛', + nrtri: '⋫', + nrtrie: '⋭', + nsc: '⊁', + nsccue: '⋡', + nsce: '⪰̸', + nscr: '𝓃', + nshortmid: '∤', + nshortparallel: '∦', + nsim: '≁', + nsime: '≄', + nsimeq: '≄', + nsmid: '∤', + nspar: '∦', + nsqsube: '⋢', + nsqsupe: '⋣', + nsub: '⊄', + nsubE: '⫅̸', + nsube: '⊈', + nsubset: '⊂⃒', + nsubseteq: '⊈', + nsubseteqq: '⫅̸', + nsucc: '⊁', + nsucceq: '⪰̸', + nsup: '⊅', + nsupE: '⫆̸', + nsupe: '⊉', + nsupset: '⊃⃒', + nsupseteq: '⊉', + nsupseteqq: '⫆̸', + ntgl: '≹', + ntilde: 'ñ', + ntlg: '≸', + ntriangleleft: '⋪', + ntrianglelefteq: '⋬', + ntriangleright: '⋫', + ntrianglerighteq: '⋭', + nu: 'ν', + num: '#', + numero: '№', + numsp: ' ', + nvDash: '⊭', + nvHarr: '⤄', + nvap: '≍⃒', + nvdash: '⊬', + nvge: '≥⃒', + nvgt: '>⃒', + nvinfin: '⧞', + nvlArr: '⤂', + nvle: '≤⃒', + nvlt: '<⃒', + nvltrie: '⊴⃒', + nvrArr: '⤃', + nvrtrie: '⊵⃒', + nvsim: '∼⃒', + nwArr: '⇖', + nwarhk: '⤣', + nwarr: '↖', + nwarrow: '↖', + nwnear: '⤧', + oS: 'Ⓢ', + oacute: 'ó', + oast: '⊛', + ocir: '⊚', + ocirc: 'ô', + ocy: 'о', + odash: '⊝', + odblac: 'ő', + odiv: '⨸', + odot: '⊙', + odsold: '⦼', + oelig: 'œ', + ofcir: '⦿', + ofr: '𝔬', + ogon: '˛', + ograve: 'ò', + ogt: '⧁', + ohbar: '⦵', + ohm: 'Ω', + oint: '∮', + olarr: '↺', + olcir: '⦾', + olcross: '⦻', + oline: '‾', + olt: '⧀', + omacr: 'ō', + omega: 'ω', + omicron: 'ο', + omid: '⦶', + ominus: '⊖', + oopf: '𝕠', + opar: '⦷', + operp: '⦹', + oplus: '⊕', + or: '∨', + orarr: '↻', + ord: '⩝', + order: 'ℴ', + orderof: 'ℴ', + ordf: 'ª', + ordm: 'º', + origof: '⊶', + oror: '⩖', + orslope: '⩗', + orv: '⩛', + oscr: 'ℴ', + oslash: 'ø', + osol: '⊘', + otilde: 'õ', + otimes: '⊗', + otimesas: '⨶', + ouml: 'ö', + ovbar: '⌽', + par: '∥', + para: '¶', + parallel: '∥', + parsim: '⫳', + parsl: '⫽', + part: '∂', + pcy: 'п', + percnt: '%', + period: '.', + permil: '‰', + perp: '⊥', + pertenk: '‱', + pfr: '𝔭', + phi: 'φ', + phiv: 'ϕ', + phmmat: 'ℳ', + phone: '☎', + pi: 'π', + pitchfork: '⋔', + piv: 'ϖ', + planck: 'ℏ', + planckh: 'ℎ', + plankv: 'ℏ', + plus: '+', + plusacir: '⨣', + plusb: '⊞', + pluscir: '⨢', + plusdo: '∔', + plusdu: '⨥', + pluse: '⩲', + plusmn: '±', + plussim: '⨦', + plustwo: '⨧', + pm: '±', + pointint: '⨕', + popf: '𝕡', + pound: '£', + pr: '≺', + prE: '⪳', + prap: '⪷', + prcue: '≼', + pre: '⪯', + prec: '≺', + precapprox: '⪷', + preccurlyeq: '≼', + preceq: '⪯', + precnapprox: '⪹', + precneqq: '⪵', + precnsim: '⋨', + precsim: '≾', + prime: '′', + primes: 'ℙ', + prnE: '⪵', + prnap: '⪹', + prnsim: '⋨', + prod: '∏', + profalar: '⌮', + profline: '⌒', + profsurf: '⌓', + prop: '∝', + propto: '∝', + prsim: '≾', + prurel: '⊰', + pscr: '𝓅', + psi: 'ψ', + puncsp: ' ', + qfr: '𝔮', + qint: '⨌', + qopf: '𝕢', + qprime: '⁗', + qscr: '𝓆', + quaternions: 'ℍ', + quatint: '⨖', + quest: '?', + questeq: '≟', + quot: '"', + rAarr: '⇛', + rArr: '⇒', + rAtail: '⤜', + rBarr: '⤏', + rHar: '⥤', + race: '∽̱', + racute: 'ŕ', + radic: '√', + raemptyv: '⦳', + rang: '⟩', + rangd: '⦒', + range: '⦥', + rangle: '⟩', + raquo: '»', + rarr: '→', + rarrap: '⥵', + rarrb: '⇥', + rarrbfs: '⤠', + rarrc: '⤳', + rarrfs: '⤞', + rarrhk: '↪', + rarrlp: '↬', + rarrpl: '⥅', + rarrsim: '⥴', + rarrtl: '↣', + rarrw: '↝', + ratail: '⤚', + ratio: '∶', + rationals: 'ℚ', + rbarr: '⤍', + rbbrk: '❳', + rbrace: '}', + rbrack: ']', + rbrke: '⦌', + rbrksld: '⦎', + rbrkslu: '⦐', + rcaron: 'ř', + rcedil: 'ŗ', + rceil: '⌉', + rcub: '}', + rcy: 'р', + rdca: '⤷', + rdldhar: '⥩', + rdquo: '”', + rdquor: '”', + rdsh: '↳', + real: 'ℜ', + realine: 'ℛ', + realpart: 'ℜ', + reals: 'ℝ', + rect: '▭', + reg: '®', + rfisht: '⥽', + rfloor: '⌋', + rfr: '𝔯', + rhard: '⇁', + rharu: '⇀', + rharul: '⥬', + rho: 'ρ', + rhov: 'ϱ', + rightarrow: '→', + rightarrowtail: '↣', + rightharpoondown: '⇁', + rightharpoonup: '⇀', + rightleftarrows: '⇄', + rightleftharpoons: '⇌', + rightrightarrows: '⇉', + rightsquigarrow: '↝', + rightthreetimes: '⋌', + ring: '˚', + risingdotseq: '≓', + rlarr: '⇄', + rlhar: '⇌', + rlm: '‏', + rmoust: '⎱', + rmoustache: '⎱', + rnmid: '⫮', + roang: '⟭', + roarr: '⇾', + robrk: '⟧', + ropar: '⦆', + ropf: '𝕣', + roplus: '⨮', + rotimes: '⨵', + rpar: ')', + rpargt: '⦔', + rppolint: '⨒', + rrarr: '⇉', + rsaquo: '›', + rscr: '𝓇', + rsh: '↱', + rsqb: ']', + rsquo: '’', + rsquor: '’', + rthree: '⋌', + rtimes: '⋊', + rtri: '▹', + rtrie: '⊵', + rtrif: '▸', + rtriltri: '⧎', + ruluhar: '⥨', + rx: '℞', + sacute: 'ś', + sbquo: '‚', + sc: '≻', + scE: '⪴', + scap: '⪸', + scaron: 'š', + sccue: '≽', + sce: '⪰', + scedil: 'ş', + scirc: 'ŝ', + scnE: '⪶', + scnap: '⪺', + scnsim: '⋩', + scpolint: '⨓', + scsim: '≿', + scy: 'с', + sdot: '⋅', + sdotb: '⊡', + sdote: '⩦', + seArr: '⇘', + searhk: '⤥', + searr: '↘', + searrow: '↘', + sect: '§', + semi: ';', + seswar: '⤩', + setminus: '∖', + setmn: '∖', + sext: '✶', + sfr: '𝔰', + sfrown: '⌢', + sharp: '♯', + shchcy: 'щ', + shcy: 'ш', + shortmid: '∣', + shortparallel: '∥', + shy: '­', + sigma: 'σ', + sigmaf: 'ς', + sigmav: 'ς', + sim: '∼', + simdot: '⩪', + sime: '≃', + simeq: '≃', + simg: '⪞', + simgE: '⪠', + siml: '⪝', + simlE: '⪟', + simne: '≆', + simplus: '⨤', + simrarr: '⥲', + slarr: '←', + smallsetminus: '∖', + smashp: '⨳', + smeparsl: '⧤', + smid: '∣', + smile: '⌣', + smt: '⪪', + smte: '⪬', + smtes: '⪬︀', + softcy: 'ь', + sol: '/', + solb: '⧄', + solbar: '⌿', + sopf: '𝕤', + spades: '♠', + spadesuit: '♠', + spar: '∥', + sqcap: '⊓', + sqcaps: '⊓︀', + sqcup: '⊔', + sqcups: '⊔︀', + sqsub: '⊏', + sqsube: '⊑', + sqsubset: '⊏', + sqsubseteq: '⊑', + sqsup: '⊐', + sqsupe: '⊒', + sqsupset: '⊐', + sqsupseteq: '⊒', + squ: '□', + square: '□', + squarf: '▪', + squf: '▪', + srarr: '→', + sscr: '𝓈', + ssetmn: '∖', + ssmile: '⌣', + sstarf: '⋆', + star: '☆', + starf: '★', + straightepsilon: 'ϵ', + straightphi: 'ϕ', + strns: '¯', + sub: '⊂', + subE: '⫅', + subdot: '⪽', + sube: '⊆', + subedot: '⫃', + submult: '⫁', + subnE: '⫋', + subne: '⊊', + subplus: '⪿', + subrarr: '⥹', + subset: '⊂', + subseteq: '⊆', + subseteqq: '⫅', + subsetneq: '⊊', + subsetneqq: '⫋', + subsim: '⫇', + subsub: '⫕', + subsup: '⫓', + succ: '≻', + succapprox: '⪸', + succcurlyeq: '≽', + succeq: '⪰', + succnapprox: '⪺', + succneqq: '⪶', + succnsim: '⋩', + succsim: '≿', + sum: '∑', + sung: '♪', + sup1: '¹', + sup2: '²', + sup3: '³', + sup: '⊃', + supE: '⫆', + supdot: '⪾', + supdsub: '⫘', + supe: '⊇', + supedot: '⫄', + suphsol: '⟉', + suphsub: '⫗', + suplarr: '⥻', + supmult: '⫂', + supnE: '⫌', + supne: '⊋', + supplus: '⫀', + supset: '⊃', + supseteq: '⊇', + supseteqq: '⫆', + supsetneq: '⊋', + supsetneqq: '⫌', + supsim: '⫈', + supsub: '⫔', + supsup: '⫖', + swArr: '⇙', + swarhk: '⤦', + swarr: '↙', + swarrow: '↙', + swnwar: '⤪', + szlig: 'ß', + target: '⌖', + tau: 'τ', + tbrk: '⎴', + tcaron: 'ť', + tcedil: 'ţ', + tcy: 'т', + tdot: '⃛', + telrec: '⌕', + tfr: '𝔱', + there4: '∴', + therefore: '∴', + theta: 'θ', + thetasym: 'ϑ', + thetav: 'ϑ', + thickapprox: '≈', + thicksim: '∼', + thinsp: ' ', + thkap: '≈', + thksim: '∼', + thorn: 'þ', + tilde: '˜', + times: '×', + timesb: '⊠', + timesbar: '⨱', + timesd: '⨰', + tint: '∭', + toea: '⤨', + top: '⊤', + topbot: '⌶', + topcir: '⫱', + topf: '𝕥', + topfork: '⫚', + tosa: '⤩', + tprime: '‴', + trade: '™', + triangle: '▵', + triangledown: '▿', + triangleleft: '◃', + trianglelefteq: '⊴', + triangleq: '≜', + triangleright: '▹', + trianglerighteq: '⊵', + tridot: '◬', + trie: '≜', + triminus: '⨺', + triplus: '⨹', + trisb: '⧍', + tritime: '⨻', + trpezium: '⏢', + tscr: '𝓉', + tscy: 'ц', + tshcy: 'ћ', + tstrok: 'ŧ', + twixt: '≬', + twoheadleftarrow: '↞', + twoheadrightarrow: '↠', + uArr: '⇑', + uHar: '⥣', + uacute: 'ú', + uarr: '↑', + ubrcy: 'ў', + ubreve: 'ŭ', + ucirc: 'û', + ucy: 'у', + udarr: '⇅', + udblac: 'ű', + udhar: '⥮', + ufisht: '⥾', + ufr: '𝔲', + ugrave: 'ù', + uharl: '↿', + uharr: '↾', + uhblk: '▀', + ulcorn: '⌜', + ulcorner: '⌜', + ulcrop: '⌏', + ultri: '◸', + umacr: 'ū', + uml: '¨', + uogon: 'ų', + uopf: '𝕦', + uparrow: '↑', + updownarrow: '↕', + upharpoonleft: '↿', + upharpoonright: '↾', + uplus: '⊎', + upsi: 'υ', + upsih: 'ϒ', + upsilon: 'υ', + upuparrows: '⇈', + urcorn: '⌝', + urcorner: '⌝', + urcrop: '⌎', + uring: 'ů', + urtri: '◹', + uscr: '𝓊', + utdot: '⋰', + utilde: 'ũ', + utri: '▵', + utrif: '▴', + uuarr: '⇈', + uuml: 'ü', + uwangle: '⦧', + vArr: '⇕', + vBar: '⫨', + vBarv: '⫩', + vDash: '⊨', + vangrt: '⦜', + varepsilon: 'ϵ', + varkappa: 'ϰ', + varnothing: '∅', + varphi: 'ϕ', + varpi: 'ϖ', + varpropto: '∝', + varr: '↕', + varrho: 'ϱ', + varsigma: 'ς', + varsubsetneq: '⊊︀', + varsubsetneqq: '⫋︀', + varsupsetneq: '⊋︀', + varsupsetneqq: '⫌︀', + vartheta: 'ϑ', + vartriangleleft: '⊲', + vartriangleright: '⊳', + vcy: 'в', + vdash: '⊢', + vee: '∨', + veebar: '⊻', + veeeq: '≚', + vellip: '⋮', + verbar: '|', + vert: '|', + vfr: '𝔳', + vltri: '⊲', + vnsub: '⊂⃒', + vnsup: '⊃⃒', + vopf: '𝕧', + vprop: '∝', + vrtri: '⊳', + vscr: '𝓋', + vsubnE: '⫋︀', + vsubne: '⊊︀', + vsupnE: '⫌︀', + vsupne: '⊋︀', + vzigzag: '⦚', + wcirc: 'ŵ', + wedbar: '⩟', + wedge: '∧', + wedgeq: '≙', + weierp: '℘', + wfr: '𝔴', + wopf: '𝕨', + wp: '℘', + wr: '≀', + wreath: '≀', + wscr: '𝓌', + xcap: '⋂', + xcirc: '◯', + xcup: '⋃', + xdtri: '▽', + xfr: '𝔵', + xhArr: '⟺', + xharr: '⟷', + xi: 'ξ', + xlArr: '⟸', + xlarr: '⟵', + xmap: '⟼', + xnis: '⋻', + xodot: '⨀', + xopf: '𝕩', + xoplus: '⨁', + xotime: '⨂', + xrArr: '⟹', + xrarr: '⟶', + xscr: '𝓍', + xsqcup: '⨆', + xuplus: '⨄', + xutri: '△', + xvee: '⋁', + xwedge: '⋀', + yacute: 'ý', + yacy: 'я', + ycirc: 'ŷ', + ycy: 'ы', + yen: '¥', + yfr: '𝔶', + yicy: 'ї', + yopf: '𝕪', + yscr: '𝓎', + yucy: 'ю', + yuml: 'ÿ', + zacute: 'ź', + zcaron: 'ž', + zcy: 'з', + zdot: 'ż', + zeetrf: 'ℨ', + zeta: 'ζ', + zfr: '𝔷', + zhcy: 'ж', + zigrarr: '⇝', + zopf: '𝕫', + zscr: '𝓏', + zwj: '‍', + zwnj: '‌' +} + +;// CONCATENATED MODULE: ./node_modules/decode-named-character-reference/index.js + + +const own = {}.hasOwnProperty + +/** + * Decode a single character reference (without the `&` or `;`). + * You probably only need this when you’re building parsers yourself that follow + * different rules compared to HTML. + * This is optimized to be tiny in browsers. + * + * @param {string} value + * `notin` (named), `#123` (deci), `#x123` (hexa). + * @returns {string|false} + * Decoded reference. + */ +function decodeNamedCharacterReference(value) { + return own.call(characterEntities, value) ? characterEntities[value] : false +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/character-reference.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const characterReference = { + name: 'characterReference', + tokenize: tokenizeCharacterReference +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCharacterReference(effects, ok, nok) { + const self = this + let size = 0 + /** @type {number} */ + let max + /** @type {(code: Code) => boolean} */ + let test + return start + + /** + * Start of character reference. + * + * ```markdown + * > | a&b + * ^ + * > | a{b + * ^ + * > | a b + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('characterReference') + effects.enter('characterReferenceMarker') + effects.consume(code) + effects.exit('characterReferenceMarker') + return open + } + + /** + * After `&`, at `#` for numeric references or alphanumeric for named + * references. + * + * ```markdown + * > | a&b + * ^ + * > | a{b + * ^ + * > | a b + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (code === 35) { + effects.enter('characterReferenceMarkerNumeric') + effects.consume(code) + effects.exit('characterReferenceMarkerNumeric') + return numeric + } + effects.enter('characterReferenceValue') + max = 31 + test = asciiAlphanumeric + return value(code) + } + + /** + * After `#`, at `x` for hexadecimals or digit for decimals. + * + * ```markdown + * > | a{b + * ^ + * > | a b + * ^ + * ``` + * + * @type {State} + */ + function numeric(code) { + if (code === 88 || code === 120) { + effects.enter('characterReferenceMarkerHexadecimal') + effects.consume(code) + effects.exit('characterReferenceMarkerHexadecimal') + effects.enter('characterReferenceValue') + max = 6 + test = asciiHexDigit + return value + } + effects.enter('characterReferenceValue') + max = 7 + test = asciiDigit + return value(code) + } + + /** + * After markers (`&#x`, `&#`, or `&`), in value, before `;`. + * + * The character reference kind defines what and how many characters are + * allowed. + * + * ```markdown + * > | a&b + * ^^^ + * > | a{b + * ^^^ + * > | a b + * ^ + * ``` + * + * @type {State} + */ + function value(code) { + if (code === 59 && size) { + const token = effects.exit('characterReferenceValue') + if ( + test === asciiAlphanumeric && + !decodeNamedCharacterReference(self.sliceSerialize(token)) + ) { + return nok(code) + } + + // To do: `markdown-rs` uses a different name: + // `CharacterReferenceMarkerSemi`. + effects.enter('characterReferenceMarker') + effects.consume(code) + effects.exit('characterReferenceMarker') + effects.exit('characterReference') + return ok + } + if (test(code) && size++ < max) { + effects.consume(code) + return value + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/character-escape.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + +/** @type {Construct} */ +const characterEscape = { + name: 'characterEscape', + tokenize: tokenizeCharacterEscape +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCharacterEscape(effects, ok, nok) { + return start + + /** + * Start of character escape. + * + * ```markdown + * > | a\*b + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('characterEscape') + effects.enter('escapeMarker') + effects.consume(code) + effects.exit('escapeMarker') + return inside + } + + /** + * After `\`, at punctuation. + * + * ```markdown + * > | a\*b + * ^ + * ``` + * + * @type {State} + */ + function inside(code) { + // ASCII punctuation. + if (asciiPunctuation(code)) { + effects.enter('characterEscapeValue') + effects.consume(code) + effects.exit('characterEscapeValue') + effects.exit('characterEscape') + return ok + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/line-ending.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const lineEnding = { + name: 'lineEnding', + tokenize: tokenizeLineEnding +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeLineEnding(effects, ok) { + return start + + /** @type {State} */ + function start(code) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return factorySpace(effects, ok, 'linePrefix') + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-end.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + + + + + + +/** @type {Construct} */ +const labelEnd = { + name: 'labelEnd', + tokenize: tokenizeLabelEnd, + resolveTo: resolveToLabelEnd, + resolveAll: resolveAllLabelEnd +} + +/** @type {Construct} */ +const resourceConstruct = { + tokenize: tokenizeResource +} +/** @type {Construct} */ +const referenceFullConstruct = { + tokenize: tokenizeReferenceFull +} +/** @type {Construct} */ +const referenceCollapsedConstruct = { + tokenize: tokenizeReferenceCollapsed +} + +/** @type {Resolver} */ +function resolveAllLabelEnd(events) { + let index = -1 + while (++index < events.length) { + const token = events[index][1] + if ( + token.type === 'labelImage' || + token.type === 'labelLink' || + token.type === 'labelEnd' + ) { + // Remove the marker. + events.splice(index + 1, token.type === 'labelImage' ? 4 : 2) + token.type = 'data' + index++ + } + } + return events +} + +/** @type {Resolver} */ +function resolveToLabelEnd(events, context) { + let index = events.length + let offset = 0 + /** @type {Token} */ + let token + /** @type {number | undefined} */ + let open + /** @type {number | undefined} */ + let close + /** @type {Array<Event>} */ + let media + + // Find an opening. + while (index--) { + token = events[index][1] + if (open) { + // If we see another link, or inactive link label, we’ve been here before. + if ( + token.type === 'link' || + (token.type === 'labelLink' && token._inactive) + ) { + break + } + + // Mark other link openings as inactive, as we can’t have links in + // links. + if (events[index][0] === 'enter' && token.type === 'labelLink') { + token._inactive = true + } + } else if (close) { + if ( + events[index][0] === 'enter' && + (token.type === 'labelImage' || token.type === 'labelLink') && + !token._balanced + ) { + open = index + if (token.type !== 'labelLink') { + offset = 2 + break + } + } + } else if (token.type === 'labelEnd') { + close = index + } + } + const group = { + type: events[open][1].type === 'labelLink' ? 'link' : 'image', + start: Object.assign({}, events[open][1].start), + end: Object.assign({}, events[events.length - 1][1].end) + } + const label = { + type: 'label', + start: Object.assign({}, events[open][1].start), + end: Object.assign({}, events[close][1].end) + } + const text = { + type: 'labelText', + start: Object.assign({}, events[open + offset + 2][1].end), + end: Object.assign({}, events[close - 2][1].start) + } + media = [ + ['enter', group, context], + ['enter', label, context] + ] + + // Opening marker. + media = push(media, events.slice(open + 1, open + offset + 3)) + + // Text open. + media = push(media, [['enter', text, context]]) + + // Always populated by defaults. + + // Between. + media = push( + media, + resolveAll( + context.parser.constructs.insideSpan.null, + events.slice(open + offset + 4, close - 3), + context + ) + ) + + // Text close, marker close, label close. + media = push(media, [ + ['exit', text, context], + events[close - 2], + events[close - 1], + ['exit', label, context] + ]) + + // Reference, resource, or so. + media = push(media, events.slice(close + 1)) + + // Media close. + media = push(media, [['exit', group, context]]) + splice(events, open, events.length, media) + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeLabelEnd(effects, ok, nok) { + const self = this + let index = self.events.length + /** @type {Token} */ + let labelStart + /** @type {boolean} */ + let defined + + // Find an opening. + while (index--) { + if ( + (self.events[index][1].type === 'labelImage' || + self.events[index][1].type === 'labelLink') && + !self.events[index][1]._balanced + ) { + labelStart = self.events[index][1] + break + } + } + return start + + /** + * Start of label end. + * + * ```markdown + * > | [a](b) c + * ^ + * > | [a][b] c + * ^ + * > | [a][] b + * ^ + * > | [a] b + * ``` + * + * @type {State} + */ + function start(code) { + // If there is not an okay opening. + if (!labelStart) { + return nok(code) + } + + // If the corresponding label (link) start is marked as inactive, + // it means we’d be wrapping a link, like this: + // + // ```markdown + // > | a [b [c](d) e](f) g. + // ^ + // ``` + // + // We can’t have that, so it’s just balanced brackets. + if (labelStart._inactive) { + return labelEndNok(code) + } + defined = self.parser.defined.includes( + normalizeIdentifier( + self.sliceSerialize({ + start: labelStart.end, + end: self.now() + }) + ) + ) + effects.enter('labelEnd') + effects.enter('labelMarker') + effects.consume(code) + effects.exit('labelMarker') + effects.exit('labelEnd') + return after + } + + /** + * After `]`. + * + * ```markdown + * > | [a](b) c + * ^ + * > | [a][b] c + * ^ + * > | [a][] b + * ^ + * > | [a] b + * ^ + * ``` + * + * @type {State} + */ + function after(code) { + // Note: `markdown-rs` also parses GFM footnotes here, which for us is in + // an extension. + + // Resource (`[asd](fgh)`)? + if (code === 40) { + return effects.attempt( + resourceConstruct, + labelEndOk, + defined ? labelEndOk : labelEndNok + )(code) + } + + // Full (`[asd][fgh]`) or collapsed (`[asd][]`) reference? + if (code === 91) { + return effects.attempt( + referenceFullConstruct, + labelEndOk, + defined ? referenceNotFull : labelEndNok + )(code) + } + + // Shortcut (`[asd]`) reference? + return defined ? labelEndOk(code) : labelEndNok(code) + } + + /** + * After `]`, at `[`, but not at a full reference. + * + * > 👉 **Note**: we only get here if the label is defined. + * + * ```markdown + * > | [a][] b + * ^ + * > | [a] b + * ^ + * ``` + * + * @type {State} + */ + function referenceNotFull(code) { + return effects.attempt( + referenceCollapsedConstruct, + labelEndOk, + labelEndNok + )(code) + } + + /** + * Done, we found something. + * + * ```markdown + * > | [a](b) c + * ^ + * > | [a][b] c + * ^ + * > | [a][] b + * ^ + * > | [a] b + * ^ + * ``` + * + * @type {State} + */ + function labelEndOk(code) { + // Note: `markdown-rs` does a bunch of stuff here. + return ok(code) + } + + /** + * Done, it’s nothing. + * + * There was an okay opening, but we didn’t match anything. + * + * ```markdown + * > | [a](b c + * ^ + * > | [a][b c + * ^ + * > | [a] b + * ^ + * ``` + * + * @type {State} + */ + function labelEndNok(code) { + labelStart._balanced = true + return nok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeResource(effects, ok, nok) { + return resourceStart + + /** + * At a resource. + * + * ```markdown + * > | [a](b) c + * ^ + * ``` + * + * @type {State} + */ + function resourceStart(code) { + effects.enter('resource') + effects.enter('resourceMarker') + effects.consume(code) + effects.exit('resourceMarker') + return resourceBefore + } + + /** + * In resource, after `(`, at optional whitespace. + * + * ```markdown + * > | [a](b) c + * ^ + * ``` + * + * @type {State} + */ + function resourceBefore(code) { + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, resourceOpen)(code) + : resourceOpen(code) + } + + /** + * In resource, after optional whitespace, at `)` or a destination. + * + * ```markdown + * > | [a](b) c + * ^ + * ``` + * + * @type {State} + */ + function resourceOpen(code) { + if (code === 41) { + return resourceEnd(code) + } + return factoryDestination( + effects, + resourceDestinationAfter, + resourceDestinationMissing, + 'resourceDestination', + 'resourceDestinationLiteral', + 'resourceDestinationLiteralMarker', + 'resourceDestinationRaw', + 'resourceDestinationString', + 32 + )(code) + } + + /** + * In resource, after destination, at optional whitespace. + * + * ```markdown + * > | [a](b) c + * ^ + * ``` + * + * @type {State} + */ + function resourceDestinationAfter(code) { + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, resourceBetween)(code) + : resourceEnd(code) + } + + /** + * At invalid destination. + * + * ```markdown + * > | [a](<<) b + * ^ + * ``` + * + * @type {State} + */ + function resourceDestinationMissing(code) { + return nok(code) + } + + /** + * In resource, after destination and whitespace, at `(` or title. + * + * ```markdown + * > | [a](b ) c + * ^ + * ``` + * + * @type {State} + */ + function resourceBetween(code) { + if (code === 34 || code === 39 || code === 40) { + return factoryTitle( + effects, + resourceTitleAfter, + nok, + 'resourceTitle', + 'resourceTitleMarker', + 'resourceTitleString' + )(code) + } + return resourceEnd(code) + } + + /** + * In resource, after title, at optional whitespace. + * + * ```markdown + * > | [a](b "c") d + * ^ + * ``` + * + * @type {State} + */ + function resourceTitleAfter(code) { + return markdownLineEndingOrSpace(code) + ? factoryWhitespace(effects, resourceEnd)(code) + : resourceEnd(code) + } + + /** + * In resource, at `)`. + * + * ```markdown + * > | [a](b) d + * ^ + * ``` + * + * @type {State} + */ + function resourceEnd(code) { + if (code === 41) { + effects.enter('resourceMarker') + effects.consume(code) + effects.exit('resourceMarker') + effects.exit('resource') + return ok + } + return nok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeReferenceFull(effects, ok, nok) { + const self = this + return referenceFull + + /** + * In a reference (full), at the `[`. + * + * ```markdown + * > | [a][b] d + * ^ + * ``` + * + * @type {State} + */ + function referenceFull(code) { + return factoryLabel.call( + self, + effects, + referenceFullAfter, + referenceFullMissing, + 'reference', + 'referenceMarker', + 'referenceString' + )(code) + } + + /** + * In a reference (full), after `]`. + * + * ```markdown + * > | [a][b] d + * ^ + * ``` + * + * @type {State} + */ + function referenceFullAfter(code) { + return self.parser.defined.includes( + normalizeIdentifier( + self.sliceSerialize(self.events[self.events.length - 1][1]).slice(1, -1) + ) + ) + ? ok(code) + : nok(code) + } + + /** + * In reference (full) that was missing. + * + * ```markdown + * > | [a][b d + * ^ + * ``` + * + * @type {State} + */ + function referenceFullMissing(code) { + return nok(code) + } +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeReferenceCollapsed(effects, ok, nok) { + return referenceCollapsedStart + + /** + * In reference (collapsed), at `[`. + * + * > 👉 **Note**: we only get here if the label is defined. + * + * ```markdown + * > | [a][] d + * ^ + * ``` + * + * @type {State} + */ + function referenceCollapsedStart(code) { + // We only attempt a collapsed label if there’s a `[`. + + effects.enter('reference') + effects.enter('referenceMarker') + effects.consume(code) + effects.exit('referenceMarker') + return referenceCollapsedOpen + } + + /** + * In reference (collapsed), at `]`. + * + * > 👉 **Note**: we only get here if the label is defined. + * + * ```markdown + * > | [a][] d + * ^ + * ``` + * + * @type {State} + */ + function referenceCollapsedOpen(code) { + if (code === 93) { + effects.enter('referenceMarker') + effects.consume(code) + effects.exit('referenceMarker') + effects.exit('reference') + return ok + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-start-image.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const labelStartImage = { + name: 'labelStartImage', + tokenize: tokenizeLabelStartImage, + resolveAll: labelEnd.resolveAll +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeLabelStartImage(effects, ok, nok) { + const self = this + return start + + /** + * Start of label (image) start. + * + * ```markdown + * > | a ![b] c + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('labelImage') + effects.enter('labelImageMarker') + effects.consume(code) + effects.exit('labelImageMarker') + return open + } + + /** + * After `!`, at `[`. + * + * ```markdown + * > | a ![b] c + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (code === 91) { + effects.enter('labelMarker') + effects.consume(code) + effects.exit('labelMarker') + effects.exit('labelImage') + return after + } + return nok(code) + } + + /** + * After `![`. + * + * ```markdown + * > | a ![b] c + * ^ + * ``` + * + * This is needed in because, when GFM footnotes are enabled, images never + * form when started with a `^`. + * Instead, links form: + * + * ```markdown + * ![^a](b) + * + * ![^a][b] + * + * [b]: c + * ``` + * + * ```html + * <p>!<a href=\"b\">^a</a></p> + * <p>!<a href=\"c\">^a</a></p> + * ``` + * + * @type {State} + */ + function after(code) { + // To do: use a new field to do this, this is still needed for + // `micromark-extension-gfm-footnote`, but the `label-start-link` + // behavior isn’t. + // Hidden footnotes hook. + /* c8 ignore next 3 */ + return code === 94 && '_hiddenFootnoteSupport' in self.parser.constructs + ? nok(code) + : ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-classify-character/index.js +/** + * @typedef {import('micromark-util-types').Code} Code + */ + + +/** + * Classify whether a code represents whitespace, punctuation, or something + * else. + * + * Used for attention (emphasis, strong), whose sequences can open or close + * based on the class of surrounding characters. + * + * > 👉 **Note**: eof (`null`) is seen as whitespace. + * + * @param {Code} code + * Code. + * @returns {typeof constants.characterGroupWhitespace | typeof constants.characterGroupPunctuation | undefined} + * Group. + */ +function classifyCharacter(code) { + if ( + code === null || + markdownLineEndingOrSpace(code) || + unicodeWhitespace(code) + ) { + return 1 + } + if (unicodePunctuation(code)) { + return 2 + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/attention.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').Point} Point + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + + +/** @type {Construct} */ +const attention = { + name: 'attention', + tokenize: tokenizeAttention, + resolveAll: resolveAllAttention +} + +/** + * Take all events and resolve attention to emphasis or strong. + * + * @type {Resolver} + */ +function resolveAllAttention(events, context) { + let index = -1 + /** @type {number} */ + let open + /** @type {Token} */ + let group + /** @type {Token} */ + let text + /** @type {Token} */ + let openingSequence + /** @type {Token} */ + let closingSequence + /** @type {number} */ + let use + /** @type {Array<Event>} */ + let nextEvents + /** @type {number} */ + let offset + + // Walk through all events. + // + // Note: performance of this is fine on an mb of normal markdown, but it’s + // a bottleneck for malicious stuff. + while (++index < events.length) { + // Find a token that can close. + if ( + events[index][0] === 'enter' && + events[index][1].type === 'attentionSequence' && + events[index][1]._close + ) { + open = index + + // Now walk back to find an opener. + while (open--) { + // Find a token that can open the closer. + if ( + events[open][0] === 'exit' && + events[open][1].type === 'attentionSequence' && + events[open][1]._open && + // If the markers are the same: + context.sliceSerialize(events[open][1]).charCodeAt(0) === + context.sliceSerialize(events[index][1]).charCodeAt(0) + ) { + // If the opening can close or the closing can open, + // and the close size *is not* a multiple of three, + // but the sum of the opening and closing size *is* multiple of three, + // then don’t match. + if ( + (events[open][1]._close || events[index][1]._open) && + (events[index][1].end.offset - events[index][1].start.offset) % 3 && + !( + (events[open][1].end.offset - + events[open][1].start.offset + + events[index][1].end.offset - + events[index][1].start.offset) % + 3 + ) + ) { + continue + } + + // Number of markers to use from the sequence. + use = + events[open][1].end.offset - events[open][1].start.offset > 1 && + events[index][1].end.offset - events[index][1].start.offset > 1 + ? 2 + : 1 + const start = Object.assign({}, events[open][1].end) + const end = Object.assign({}, events[index][1].start) + movePoint(start, -use) + movePoint(end, use) + openingSequence = { + type: use > 1 ? 'strongSequence' : 'emphasisSequence', + start, + end: Object.assign({}, events[open][1].end) + } + closingSequence = { + type: use > 1 ? 'strongSequence' : 'emphasisSequence', + start: Object.assign({}, events[index][1].start), + end + } + text = { + type: use > 1 ? 'strongText' : 'emphasisText', + start: Object.assign({}, events[open][1].end), + end: Object.assign({}, events[index][1].start) + } + group = { + type: use > 1 ? 'strong' : 'emphasis', + start: Object.assign({}, openingSequence.start), + end: Object.assign({}, closingSequence.end) + } + events[open][1].end = Object.assign({}, openingSequence.start) + events[index][1].start = Object.assign({}, closingSequence.end) + nextEvents = [] + + // If there are more markers in the opening, add them before. + if (events[open][1].end.offset - events[open][1].start.offset) { + nextEvents = push(nextEvents, [ + ['enter', events[open][1], context], + ['exit', events[open][1], context] + ]) + } + + // Opening. + nextEvents = push(nextEvents, [ + ['enter', group, context], + ['enter', openingSequence, context], + ['exit', openingSequence, context], + ['enter', text, context] + ]) + + // Always populated by defaults. + + // Between. + nextEvents = push( + nextEvents, + resolveAll( + context.parser.constructs.insideSpan.null, + events.slice(open + 1, index), + context + ) + ) + + // Closing. + nextEvents = push(nextEvents, [ + ['exit', text, context], + ['enter', closingSequence, context], + ['exit', closingSequence, context], + ['exit', group, context] + ]) + + // If there are more markers in the closing, add them after. + if (events[index][1].end.offset - events[index][1].start.offset) { + offset = 2 + nextEvents = push(nextEvents, [ + ['enter', events[index][1], context], + ['exit', events[index][1], context] + ]) + } else { + offset = 0 + } + splice(events, open - 1, index - open + 3, nextEvents) + index = open + nextEvents.length - offset - 2 + break + } + } + } + } + + // Remove remaining sequences. + index = -1 + while (++index < events.length) { + if (events[index][1].type === 'attentionSequence') { + events[index][1].type = 'data' + } + } + return events +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeAttention(effects, ok) { + const attentionMarkers = this.parser.constructs.attentionMarkers.null + const previous = this.previous + const before = classifyCharacter(previous) + + /** @type {NonNullable<Code>} */ + let marker + return start + + /** + * Before a sequence. + * + * ```markdown + * > | ** + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + marker = code + effects.enter('attentionSequence') + return inside(code) + } + + /** + * In a sequence. + * + * ```markdown + * > | ** + * ^^ + * ``` + * + * @type {State} + */ + function inside(code) { + if (code === marker) { + effects.consume(code) + return inside + } + const token = effects.exit('attentionSequence') + + // To do: next major: move this to resolver, just like `markdown-rs`. + const after = classifyCharacter(code) + + // Always populated by defaults. + + const open = + !after || (after === 2 && before) || attentionMarkers.includes(code) + const close = + !before || (before === 2 && after) || attentionMarkers.includes(previous) + token._open = Boolean(marker === 42 ? open : open && (before || !close)) + token._close = Boolean(marker === 42 ? close : close && (after || !open)) + return ok(code) + } +} + +/** + * Move a point a bit. + * + * Note: `move` only works inside lines! It’s not possible to move past other + * chunks (replacement characters, tabs, or line endings). + * + * @param {Point} point + * @param {number} offset + * @returns {void} + */ +function movePoint(point, offset) { + point.column += offset + point.offset += offset + point._bufferIndex += offset +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/autolink.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + +/** @type {Construct} */ +const autolink = { + name: 'autolink', + tokenize: tokenizeAutolink +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeAutolink(effects, ok, nok) { + let size = 0 + return start + + /** + * Start of an autolink. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * > | a<user@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('autolink') + effects.enter('autolinkMarker') + effects.consume(code) + effects.exit('autolinkMarker') + effects.enter('autolinkProtocol') + return open + } + + /** + * After `<`, at protocol or atext. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * > | a<user@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (asciiAlpha(code)) { + effects.consume(code) + return schemeOrEmailAtext + } + return emailAtext(code) + } + + /** + * At second byte of protocol or atext. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * > | a<user@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function schemeOrEmailAtext(code) { + // ASCII alphanumeric and `+`, `-`, and `.`. + if (code === 43 || code === 45 || code === 46 || asciiAlphanumeric(code)) { + // Count the previous alphabetical from `open` too. + size = 1 + return schemeInsideOrEmailAtext(code) + } + return emailAtext(code) + } + + /** + * In ambiguous protocol or atext. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * > | a<user@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function schemeInsideOrEmailAtext(code) { + if (code === 58) { + effects.consume(code) + size = 0 + return urlInside + } + + // ASCII alphanumeric and `+`, `-`, and `.`. + if ( + (code === 43 || code === 45 || code === 46 || asciiAlphanumeric(code)) && + size++ < 32 + ) { + effects.consume(code) + return schemeInsideOrEmailAtext + } + size = 0 + return emailAtext(code) + } + + /** + * After protocol, in URL. + * + * ```markdown + * > | a<https://example.com>b + * ^ + * ``` + * + * @type {State} + */ + function urlInside(code) { + if (code === 62) { + effects.exit('autolinkProtocol') + effects.enter('autolinkMarker') + effects.consume(code) + effects.exit('autolinkMarker') + effects.exit('autolink') + return ok + } + + // ASCII control, space, or `<`. + if (code === null || code === 32 || code === 60 || asciiControl(code)) { + return nok(code) + } + effects.consume(code) + return urlInside + } + + /** + * In email atext. + * + * ```markdown + * > | a<user.name@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function emailAtext(code) { + if (code === 64) { + effects.consume(code) + return emailAtSignOrDot + } + if (asciiAtext(code)) { + effects.consume(code) + return emailAtext + } + return nok(code) + } + + /** + * In label, after at-sign or dot. + * + * ```markdown + * > | a<user.name@example.com>b + * ^ ^ + * ``` + * + * @type {State} + */ + function emailAtSignOrDot(code) { + return asciiAlphanumeric(code) ? emailLabel(code) : nok(code) + } + + /** + * In label, where `.` and `>` are allowed. + * + * ```markdown + * > | a<user.name@example.com>b + * ^ + * ``` + * + * @type {State} + */ + function emailLabel(code) { + if (code === 46) { + effects.consume(code) + size = 0 + return emailAtSignOrDot + } + if (code === 62) { + // Exit, then change the token type. + effects.exit('autolinkProtocol').type = 'autolinkEmail' + effects.enter('autolinkMarker') + effects.consume(code) + effects.exit('autolinkMarker') + effects.exit('autolink') + return ok + } + return emailValue(code) + } + + /** + * In label, where `.` and `>` are *not* allowed. + * + * Though, this is also used in `emailLabel` to parse other values. + * + * ```markdown + * > | a<user.name@ex-ample.com>b + * ^ + * ``` + * + * @type {State} + */ + function emailValue(code) { + // ASCII alphanumeric or `-`. + if ((code === 45 || asciiAlphanumeric(code)) && size++ < 63) { + const next = code === 45 ? emailValue : emailLabel + effects.consume(code) + return next + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/html-text.js +/** + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const htmlText = { + name: 'htmlText', + tokenize: tokenizeHtmlText +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeHtmlText(effects, ok, nok) { + const self = this + /** @type {NonNullable<Code> | undefined} */ + let marker + /** @type {number} */ + let index + /** @type {State} */ + let returnState + return start + + /** + * Start of HTML (text). + * + * ```markdown + * > | a <b> c + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('htmlText') + effects.enter('htmlTextData') + effects.consume(code) + return open + } + + /** + * After `<`, at tag name or other stuff. + * + * ```markdown + * > | a <b> c + * ^ + * > | a <!doctype> c + * ^ + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function open(code) { + if (code === 33) { + effects.consume(code) + return declarationOpen + } + if (code === 47) { + effects.consume(code) + return tagCloseStart + } + if (code === 63) { + effects.consume(code) + return instruction + } + + // ASCII alphabetical. + if (asciiAlpha(code)) { + effects.consume(code) + return tagOpen + } + return nok(code) + } + + /** + * After `<!`, at declaration, comment, or CDATA. + * + * ```markdown + * > | a <!doctype> c + * ^ + * > | a <!--b--> c + * ^ + * > | a <![CDATA[>&<]]> c + * ^ + * ``` + * + * @type {State} + */ + function declarationOpen(code) { + if (code === 45) { + effects.consume(code) + return commentOpenInside + } + if (code === 91) { + effects.consume(code) + index = 0 + return cdataOpenInside + } + if (asciiAlpha(code)) { + effects.consume(code) + return declaration + } + return nok(code) + } + + /** + * In a comment, after `<!-`, at another `-`. + * + * ```markdown + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function commentOpenInside(code) { + if (code === 45) { + effects.consume(code) + return commentEnd + } + return nok(code) + } + + /** + * In comment. + * + * ```markdown + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function comment(code) { + if (code === null) { + return nok(code) + } + if (code === 45) { + effects.consume(code) + return commentClose + } + if (markdownLineEnding(code)) { + returnState = comment + return lineEndingBefore(code) + } + effects.consume(code) + return comment + } + + /** + * In comment, after `-`. + * + * ```markdown + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function commentClose(code) { + if (code === 45) { + effects.consume(code) + return commentEnd + } + return comment(code) + } + + /** + * In comment, after `--`. + * + * ```markdown + * > | a <!--b--> c + * ^ + * ``` + * + * @type {State} + */ + function commentEnd(code) { + return code === 62 + ? end(code) + : code === 45 + ? commentClose(code) + : comment(code) + } + + /** + * After `<![`, in CDATA, expecting `CDATA[`. + * + * ```markdown + * > | a <![CDATA[>&<]]> b + * ^^^^^^ + * ``` + * + * @type {State} + */ + function cdataOpenInside(code) { + const value = 'CDATA[' + if (code === value.charCodeAt(index++)) { + effects.consume(code) + return index === value.length ? cdata : cdataOpenInside + } + return nok(code) + } + + /** + * In CDATA. + * + * ```markdown + * > | a <![CDATA[>&<]]> b + * ^^^ + * ``` + * + * @type {State} + */ + function cdata(code) { + if (code === null) { + return nok(code) + } + if (code === 93) { + effects.consume(code) + return cdataClose + } + if (markdownLineEnding(code)) { + returnState = cdata + return lineEndingBefore(code) + } + effects.consume(code) + return cdata + } + + /** + * In CDATA, after `]`, at another `]`. + * + * ```markdown + * > | a <![CDATA[>&<]]> b + * ^ + * ``` + * + * @type {State} + */ + function cdataClose(code) { + if (code === 93) { + effects.consume(code) + return cdataEnd + } + return cdata(code) + } + + /** + * In CDATA, after `]]`, at `>`. + * + * ```markdown + * > | a <![CDATA[>&<]]> b + * ^ + * ``` + * + * @type {State} + */ + function cdataEnd(code) { + if (code === 62) { + return end(code) + } + if (code === 93) { + effects.consume(code) + return cdataEnd + } + return cdata(code) + } + + /** + * In declaration. + * + * ```markdown + * > | a <!b> c + * ^ + * ``` + * + * @type {State} + */ + function declaration(code) { + if (code === null || code === 62) { + return end(code) + } + if (markdownLineEnding(code)) { + returnState = declaration + return lineEndingBefore(code) + } + effects.consume(code) + return declaration + } + + /** + * In instruction. + * + * ```markdown + * > | a <?b?> c + * ^ + * ``` + * + * @type {State} + */ + function instruction(code) { + if (code === null) { + return nok(code) + } + if (code === 63) { + effects.consume(code) + return instructionClose + } + if (markdownLineEnding(code)) { + returnState = instruction + return lineEndingBefore(code) + } + effects.consume(code) + return instruction + } + + /** + * In instruction, after `?`, at `>`. + * + * ```markdown + * > | a <?b?> c + * ^ + * ``` + * + * @type {State} + */ + function instructionClose(code) { + return code === 62 ? end(code) : instruction(code) + } + + /** + * After `</`, in closing tag, at tag name. + * + * ```markdown + * > | a </b> c + * ^ + * ``` + * + * @type {State} + */ + function tagCloseStart(code) { + // ASCII alphabetical. + if (asciiAlpha(code)) { + effects.consume(code) + return tagClose + } + return nok(code) + } + + /** + * After `</x`, in a tag name. + * + * ```markdown + * > | a </b> c + * ^ + * ``` + * + * @type {State} + */ + function tagClose(code) { + // ASCII alphanumerical and `-`. + if (code === 45 || asciiAlphanumeric(code)) { + effects.consume(code) + return tagClose + } + return tagCloseBetween(code) + } + + /** + * In closing tag, after tag name. + * + * ```markdown + * > | a </b> c + * ^ + * ``` + * + * @type {State} + */ + function tagCloseBetween(code) { + if (markdownLineEnding(code)) { + returnState = tagCloseBetween + return lineEndingBefore(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return tagCloseBetween + } + return end(code) + } + + /** + * After `<x`, in opening tag name. + * + * ```markdown + * > | a <b> c + * ^ + * ``` + * + * @type {State} + */ + function tagOpen(code) { + // ASCII alphanumerical and `-`. + if (code === 45 || asciiAlphanumeric(code)) { + effects.consume(code) + return tagOpen + } + if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { + return tagOpenBetween(code) + } + return nok(code) + } + + /** + * In opening tag, after tag name. + * + * ```markdown + * > | a <b> c + * ^ + * ``` + * + * @type {State} + */ + function tagOpenBetween(code) { + if (code === 47) { + effects.consume(code) + return end + } + + // ASCII alphabetical and `:` and `_`. + if (code === 58 || code === 95 || asciiAlpha(code)) { + effects.consume(code) + return tagOpenAttributeName + } + if (markdownLineEnding(code)) { + returnState = tagOpenBetween + return lineEndingBefore(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return tagOpenBetween + } + return end(code) + } + + /** + * In attribute name. + * + * ```markdown + * > | a <b c> d + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeName(code) { + // ASCII alphabetical and `-`, `.`, `:`, and `_`. + if ( + code === 45 || + code === 46 || + code === 58 || + code === 95 || + asciiAlphanumeric(code) + ) { + effects.consume(code) + return tagOpenAttributeName + } + return tagOpenAttributeNameAfter(code) + } + + /** + * After attribute name, before initializer, the end of the tag, or + * whitespace. + * + * ```markdown + * > | a <b c> d + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeNameAfter(code) { + if (code === 61) { + effects.consume(code) + return tagOpenAttributeValueBefore + } + if (markdownLineEnding(code)) { + returnState = tagOpenAttributeNameAfter + return lineEndingBefore(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return tagOpenAttributeNameAfter + } + return tagOpenBetween(code) + } + + /** + * Before unquoted, double quoted, or single quoted attribute value, allowing + * whitespace. + * + * ```markdown + * > | a <b c=d> e + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeValueBefore(code) { + if ( + code === null || + code === 60 || + code === 61 || + code === 62 || + code === 96 + ) { + return nok(code) + } + if (code === 34 || code === 39) { + effects.consume(code) + marker = code + return tagOpenAttributeValueQuoted + } + if (markdownLineEnding(code)) { + returnState = tagOpenAttributeValueBefore + return lineEndingBefore(code) + } + if (markdownSpace(code)) { + effects.consume(code) + return tagOpenAttributeValueBefore + } + effects.consume(code) + return tagOpenAttributeValueUnquoted + } + + /** + * In double or single quoted attribute value. + * + * ```markdown + * > | a <b c="d"> e + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeValueQuoted(code) { + if (code === marker) { + effects.consume(code) + marker = undefined + return tagOpenAttributeValueQuotedAfter + } + if (code === null) { + return nok(code) + } + if (markdownLineEnding(code)) { + returnState = tagOpenAttributeValueQuoted + return lineEndingBefore(code) + } + effects.consume(code) + return tagOpenAttributeValueQuoted + } + + /** + * In unquoted attribute value. + * + * ```markdown + * > | a <b c=d> e + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeValueUnquoted(code) { + if ( + code === null || + code === 34 || + code === 39 || + code === 60 || + code === 61 || + code === 96 + ) { + return nok(code) + } + if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { + return tagOpenBetween(code) + } + effects.consume(code) + return tagOpenAttributeValueUnquoted + } + + /** + * After double or single quoted attribute value, before whitespace or the end + * of the tag. + * + * ```markdown + * > | a <b c="d"> e + * ^ + * ``` + * + * @type {State} + */ + function tagOpenAttributeValueQuotedAfter(code) { + if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { + return tagOpenBetween(code) + } + return nok(code) + } + + /** + * In certain circumstances of a tag where only an `>` is allowed. + * + * ```markdown + * > | a <b c="d"> e + * ^ + * ``` + * + * @type {State} + */ + function end(code) { + if (code === 62) { + effects.consume(code) + effects.exit('htmlTextData') + effects.exit('htmlText') + return ok + } + return nok(code) + } + + /** + * At eol. + * + * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about + * > empty tokens. + * + * ```markdown + * > | a <!--a + * ^ + * | b--> + * ``` + * + * @type {State} + */ + function lineEndingBefore(code) { + effects.exit('htmlTextData') + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return lineEndingAfter + } + + /** + * After eol, at optional whitespace. + * + * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about + * > empty tokens. + * + * ```markdown + * | a <!--a + * > | b--> + * ^ + * ``` + * + * @type {State} + */ + function lineEndingAfter(code) { + // Always populated by defaults. + + return markdownSpace(code) + ? factorySpace( + effects, + lineEndingAfterPrefix, + 'linePrefix', + self.parser.constructs.disable.null.includes('codeIndented') + ? undefined + : 4 + )(code) + : lineEndingAfterPrefix(code) + } + + /** + * After eol, after optional whitespace. + * + * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about + * > empty tokens. + * + * ```markdown + * | a <!--a + * > | b--> + * ^ + * ``` + * + * @type {State} + */ + function lineEndingAfterPrefix(code) { + effects.enter('htmlTextData') + return returnState(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-start-link.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + + +/** @type {Construct} */ +const labelStartLink = { + name: 'labelStartLink', + tokenize: tokenizeLabelStartLink, + resolveAll: labelEnd.resolveAll +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeLabelStartLink(effects, ok, nok) { + const self = this + return start + + /** + * Start of label (link) start. + * + * ```markdown + * > | a [b] c + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('labelLink') + effects.enter('labelMarker') + effects.consume(code) + effects.exit('labelMarker') + effects.exit('labelLink') + return after + } + + /** @type {State} */ + function after(code) { + // To do: this isn’t needed in `micromark-extension-gfm-footnote`, + // remove. + // Hidden footnotes hook. + /* c8 ignore next 3 */ + return code === 94 && '_hiddenFootnoteSupport' in self.parser.constructs + ? nok(code) + : ok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/hard-break-escape.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + +/** @type {Construct} */ +const hardBreakEscape = { + name: 'hardBreakEscape', + tokenize: tokenizeHardBreakEscape +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeHardBreakEscape(effects, ok, nok) { + return start + + /** + * Start of a hard break (escape). + * + * ```markdown + * > | a\ + * ^ + * | b + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('hardBreakEscape') + effects.consume(code) + return after + } + + /** + * After `\`, at eol. + * + * ```markdown + * > | a\ + * ^ + * | b + * ``` + * + * @type {State} + */ + function after(code) { + if (markdownLineEnding(code)) { + effects.exit('hardBreakEscape') + return ok(code) + } + return nok(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-text.js +/** + * @typedef {import('micromark-util-types').Construct} Construct + * @typedef {import('micromark-util-types').Previous} Previous + * @typedef {import('micromark-util-types').Resolver} Resolver + * @typedef {import('micromark-util-types').State} State + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Tokenizer} Tokenizer + */ + + +/** @type {Construct} */ +const codeText = { + name: 'codeText', + tokenize: tokenizeCodeText, + resolve: resolveCodeText, + previous +} + +// To do: next major: don’t resolve, like `markdown-rs`. +/** @type {Resolver} */ +function resolveCodeText(events) { + let tailExitIndex = events.length - 4 + let headEnterIndex = 3 + /** @type {number} */ + let index + /** @type {number | undefined} */ + let enter + + // If we start and end with an EOL or a space. + if ( + (events[headEnterIndex][1].type === 'lineEnding' || + events[headEnterIndex][1].type === 'space') && + (events[tailExitIndex][1].type === 'lineEnding' || + events[tailExitIndex][1].type === 'space') + ) { + index = headEnterIndex + + // And we have data. + while (++index < tailExitIndex) { + if (events[index][1].type === 'codeTextData') { + // Then we have padding. + events[headEnterIndex][1].type = 'codeTextPadding' + events[tailExitIndex][1].type = 'codeTextPadding' + headEnterIndex += 2 + tailExitIndex -= 2 + break + } + } + } + + // Merge adjacent spaces and data. + index = headEnterIndex - 1 + tailExitIndex++ + while (++index <= tailExitIndex) { + if (enter === undefined) { + if (index !== tailExitIndex && events[index][1].type !== 'lineEnding') { + enter = index + } + } else if ( + index === tailExitIndex || + events[index][1].type === 'lineEnding' + ) { + events[enter][1].type = 'codeTextData' + if (index !== enter + 2) { + events[enter][1].end = events[index - 1][1].end + events.splice(enter + 2, index - enter - 2) + tailExitIndex -= index - enter - 2 + index = enter + 2 + } + enter = undefined + } + } + return events +} + +/** + * @this {TokenizeContext} + * @type {Previous} + */ +function previous(code) { + // If there is a previous code, there will always be a tail. + return ( + code !== 96 || + this.events[this.events.length - 1][1].type === 'characterEscape' + ) +} + +/** + * @this {TokenizeContext} + * @type {Tokenizer} + */ +function tokenizeCodeText(effects, ok, nok) { + const self = this + let sizeOpen = 0 + /** @type {number} */ + let size + /** @type {Token} */ + let token + return start + + /** + * Start of code (text). + * + * ```markdown + * > | `a` + * ^ + * > | \`a` + * ^ + * ``` + * + * @type {State} + */ + function start(code) { + effects.enter('codeText') + effects.enter('codeTextSequence') + return sequenceOpen(code) + } + + /** + * In opening sequence. + * + * ```markdown + * > | `a` + * ^ + * ``` + * + * @type {State} + */ + function sequenceOpen(code) { + if (code === 96) { + effects.consume(code) + sizeOpen++ + return sequenceOpen + } + effects.exit('codeTextSequence') + return between(code) + } + + /** + * Between something and something else. + * + * ```markdown + * > | `a` + * ^^ + * ``` + * + * @type {State} + */ + function between(code) { + // EOF. + if (code === null) { + return nok(code) + } + + // To do: next major: don’t do spaces in resolve, but when compiling, + // like `markdown-rs`. + // Tabs don’t work, and virtual spaces don’t make sense. + if (code === 32) { + effects.enter('space') + effects.consume(code) + effects.exit('space') + return between + } + + // Closing fence? Could also be data. + if (code === 96) { + token = effects.enter('codeTextSequence') + size = 0 + return sequenceClose(code) + } + if (markdownLineEnding(code)) { + effects.enter('lineEnding') + effects.consume(code) + effects.exit('lineEnding') + return between + } + + // Data. + effects.enter('codeTextData') + return data(code) + } + + /** + * In data. + * + * ```markdown + * > | `a` + * ^ + * ``` + * + * @type {State} + */ + function data(code) { + if ( + code === null || + code === 32 || + code === 96 || + markdownLineEnding(code) + ) { + effects.exit('codeTextData') + return between(code) + } + effects.consume(code) + return data + } + + /** + * In closing sequence. + * + * ```markdown + * > | `a` + * ^ + * ``` + * + * @type {State} + */ + function sequenceClose(code) { + // More. + if (code === 96) { + effects.consume(code) + size++ + return sequenceClose + } + + // Done! + if (size === sizeOpen) { + effects.exit('codeTextSequence') + effects.exit('codeText') + return ok(code) + } + + // More or less accents: mark as data. + token.type = 'codeTextData' + return data(code) + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/constructs.js +/** + * @typedef {import('micromark-util-types').Extension} Extension + */ + + + + +/** @satisfies {Extension['document']} */ +const constructs_document = { + [42]: list, + [43]: list, + [45]: list, + [48]: list, + [49]: list, + [50]: list, + [51]: list, + [52]: list, + [53]: list, + [54]: list, + [55]: list, + [56]: list, + [57]: list, + [62]: blockQuote +} + +/** @satisfies {Extension['contentInitial']} */ +const contentInitial = { + [91]: definition +} + +/** @satisfies {Extension['flowInitial']} */ +const flowInitial = { + [-2]: codeIndented, + [-1]: codeIndented, + [32]: codeIndented +} + +/** @satisfies {Extension['flow']} */ +const constructs_flow = { + [35]: headingAtx, + [42]: thematicBreak, + [45]: [setextUnderline, thematicBreak], + [60]: htmlFlow, + [61]: setextUnderline, + [95]: thematicBreak, + [96]: codeFenced, + [126]: codeFenced +} + +/** @satisfies {Extension['string']} */ +const constructs_string = { + [38]: characterReference, + [92]: characterEscape +} + +/** @satisfies {Extension['text']} */ +const constructs_text = { + [-5]: lineEnding, + [-4]: lineEnding, + [-3]: lineEnding, + [33]: labelStartImage, + [38]: characterReference, + [42]: attention, + [60]: [autolink, htmlText], + [91]: labelStartLink, + [92]: [hardBreakEscape, characterEscape], + [93]: labelEnd, + [95]: attention, + [96]: codeText +} + +/** @satisfies {Extension['insideSpan']} */ +const insideSpan = { + null: [attention, resolver] +} + +/** @satisfies {Extension['attentionMarkers']} */ +const attentionMarkers = { + null: [42, 95] +} + +/** @satisfies {Extension['disable']} */ +const disable = { + null: [] +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/parse.js +/** + * @typedef {import('micromark-util-types').Create} Create + * @typedef {import('micromark-util-types').FullNormalizedExtension} FullNormalizedExtension + * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct + * @typedef {import('micromark-util-types').ParseContext} ParseContext + * @typedef {import('micromark-util-types').ParseOptions} ParseOptions + */ + + + + + + + + + +/** + * @param {ParseOptions | null | undefined} [options] + * @returns {ParseContext} + */ +function parse(options) { + const settings = options || {} + const constructs = + /** @type {FullNormalizedExtension} */ + combineExtensions([constructs_namespaceObject, ...(settings.extensions || [])]) + + /** @type {ParseContext} */ + const parser = { + defined: [], + lazy: {}, + constructs, + content: create(content), + document: create(document_document), + flow: create(flow), + string: create(string), + text: create(text_text) + } + return parser + + /** + * @param {InitialConstruct} initial + */ + function create(initial) { + return creator + /** @type {Create} */ + function creator(from) { + return createTokenizer(parser, initial, from) + } + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/preprocess.js +/** + * @typedef {import('micromark-util-types').Chunk} Chunk + * @typedef {import('micromark-util-types').Code} Code + * @typedef {import('micromark-util-types').Encoding} Encoding + * @typedef {import('micromark-util-types').Value} Value + */ + +/** + * @callback Preprocessor + * @param {Value} value + * @param {Encoding | null | undefined} [encoding] + * @param {boolean | null | undefined} [end=false] + * @returns {Array<Chunk>} + */ + +const search = /[\0\t\n\r]/g + +/** + * @returns {Preprocessor} + */ +function preprocess() { + let column = 1 + let buffer = '' + /** @type {boolean | undefined} */ + let start = true + /** @type {boolean | undefined} */ + let atCarriageReturn + return preprocessor + + /** @type {Preprocessor} */ + function preprocessor(value, encoding, end) { + /** @type {Array<Chunk>} */ + const chunks = [] + /** @type {RegExpMatchArray | null} */ + let match + /** @type {number} */ + let next + /** @type {number} */ + let startPosition + /** @type {number} */ + let endPosition + /** @type {Code} */ + let code + + // @ts-expect-error `Buffer` does allow an encoding. + value = buffer + value.toString(encoding) + startPosition = 0 + buffer = '' + if (start) { + // To do: `markdown-rs` actually parses BOMs (byte order mark). + if (value.charCodeAt(0) === 65279) { + startPosition++ + } + start = undefined + } + while (startPosition < value.length) { + search.lastIndex = startPosition + match = search.exec(value) + endPosition = + match && match.index !== undefined ? match.index : value.length + code = value.charCodeAt(endPosition) + if (!match) { + buffer = value.slice(startPosition) + break + } + if (code === 10 && startPosition === endPosition && atCarriageReturn) { + chunks.push(-3) + atCarriageReturn = undefined + } else { + if (atCarriageReturn) { + chunks.push(-5) + atCarriageReturn = undefined + } + if (startPosition < endPosition) { + chunks.push(value.slice(startPosition, endPosition)) + column += endPosition - startPosition + } + switch (code) { + case 0: { + chunks.push(65533) + column++ + break + } + case 9: { + next = Math.ceil(column / 4) * 4 + chunks.push(-2) + while (column++ < next) chunks.push(-1) + break + } + case 10: { + chunks.push(-4) + column = 1 + break + } + default: { + atCarriageReturn = true + column = 1 + } + } + } + startPosition = endPosition + 1 + } + if (end) { + if (atCarriageReturn) chunks.push(-5) + if (buffer) chunks.push(buffer) + chunks.push(null) + } + return chunks + } +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/postprocess.js +/** + * @typedef {import('micromark-util-types').Event} Event + */ + + + +/** + * @param {Array<Event>} events + * @returns {Array<Event>} + */ +function postprocess(events) { + while (!subtokenize(events)) { + // Empty + } + return events +} + +;// CONCATENATED MODULE: ./node_modules/micromark-util-decode-numeric-character-reference/index.js +/** + * Turn the number (in string form as either hexa- or plain decimal) coming from + * a numeric character reference into a character. + * + * Sort of like `String.fromCharCode(Number.parseInt(value, base))`, but makes + * non-characters and control characters safe. + * + * @param {string} value + * Value to decode. + * @param {number} base + * Numeric base. + * @returns {string} + * Character. + */ +function decodeNumericCharacterReference(value, base) { + const code = Number.parseInt(value, base) + if ( + // C0 except for HT, LF, FF, CR, space. + code < 9 || + code === 11 || + (code > 13 && code < 32) || + // Control character (DEL) of C0, and C1 controls. + (code > 126 && code < 160) || + // Lone high surrogates and low surrogates. + (code > 55295 && code < 57344) || + // Noncharacters. + (code > 64975 && code < 65008) /* eslint-disable no-bitwise */ || + (code & 65535) === 65535 || + (code & 65535) === 65534 /* eslint-enable no-bitwise */ || + // Out of range + code > 1114111 + ) { + return '\uFFFD' + } + return String.fromCharCode(code) +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-decode-string/index.js + + +const characterEscapeOrReference = + /\\([!-/:-@[-`{-~])|&(#(?:\d{1,7}|x[\da-f]{1,6})|[\da-z]{1,31});/gi + +/** + * Decode markdown strings (which occur in places such as fenced code info + * strings, destinations, labels, and titles). + * + * The “string” content type allows character escapes and -references. + * This decodes those. + * + * @param {string} value + * Value to decode. + * @returns {string} + * Decoded value. + */ +function decodeString(value) { + return value.replace(characterEscapeOrReference, decode) +} + +/** + * @param {string} $0 + * @param {string} $1 + * @param {string} $2 + * @returns {string} + */ +function decode($0, $1, $2) { + if ($1) { + // Escape. + return $1 + } + + // Reference. + const head = $2.charCodeAt(0) + if (head === 35) { + const head = $2.charCodeAt(1) + const hex = head === 120 || head === 88 + return decodeNumericCharacterReference($2.slice(hex ? 2 : 1), hex ? 16 : 10) + } + return decodeNamedCharacterReference($2) || $0 +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/unist-util-stringify-position/lib/index.js +/** + * @typedef {import('unist').Node} Node + * @typedef {import('unist').Point} Point + * @typedef {import('unist').Position} Position + */ + +/** + * @typedef NodeLike + * @property {string} type + * @property {PositionLike | null | undefined} [position] + * + * @typedef PositionLike + * @property {PointLike | null | undefined} [start] + * @property {PointLike | null | undefined} [end] + * + * @typedef PointLike + * @property {number | null | undefined} [line] + * @property {number | null | undefined} [column] + * @property {number | null | undefined} [offset] + */ + +/** + * Serialize the positional info of a point, position (start and end points), + * or node. + * + * @param {Node | NodeLike | Position | PositionLike | Point | PointLike | null | undefined} [value] + * Node, position, or point. + * @returns {string} + * Pretty printed positional info of a node (`string`). + * + * In the format of a range `ls:cs-le:ce` (when given `node` or `position`) + * or a point `l:c` (when given `point`), where `l` stands for line, `c` for + * column, `s` for `start`, and `e` for end. + * An empty string (`''`) is returned if the given value is neither `node`, + * `position`, nor `point`. + */ +function stringifyPosition(value) { + // Nothing. + if (!value || typeof value !== 'object') { + return '' + } + + // Node. + if ('position' in value || 'type' in value) { + return position(value.position) + } + + // Position. + if ('start' in value || 'end' in value) { + return position(value) + } + + // Point. + if ('line' in value || 'column' in value) { + return point(value) + } + + // ? + return '' +} + +/** + * @param {Point | PointLike | null | undefined} point + * @returns {string} + */ +function point(point) { + return index(point && point.line) + ':' + index(point && point.column) +} + +/** + * @param {Position | PositionLike | null | undefined} pos + * @returns {string} + */ +function position(pos) { + return point(pos && pos.start) + '-' + point(pos && pos.end) +} + +/** + * @param {number | null | undefined} value + * @returns {number} + */ +function index(value) { + return value && typeof value === 'number' ? value : 1 +} + +;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-from-markdown/lib/index.js +/** + * @typedef {import('micromark-util-types').Encoding} Encoding + * @typedef {import('micromark-util-types').Event} Event + * @typedef {import('micromark-util-types').ParseOptions} ParseOptions + * @typedef {import('micromark-util-types').Token} Token + * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext + * @typedef {import('micromark-util-types').Value} Value + * + * @typedef {import('unist').Parent} UnistParent + * @typedef {import('unist').Point} Point + * + * @typedef {import('mdast').PhrasingContent} PhrasingContent + * @typedef {import('mdast').StaticPhrasingContent} StaticPhrasingContent + * @typedef {import('mdast').Content} Content + * @typedef {import('mdast').Break} Break + * @typedef {import('mdast').Blockquote} Blockquote + * @typedef {import('mdast').Code} Code + * @typedef {import('mdast').Definition} Definition + * @typedef {import('mdast').Emphasis} Emphasis + * @typedef {import('mdast').Heading} Heading + * @typedef {import('mdast').HTML} HTML + * @typedef {import('mdast').Image} Image + * @typedef {import('mdast').ImageReference} ImageReference + * @typedef {import('mdast').InlineCode} InlineCode + * @typedef {import('mdast').Link} Link + * @typedef {import('mdast').LinkReference} LinkReference + * @typedef {import('mdast').List} List + * @typedef {import('mdast').ListItem} ListItem + * @typedef {import('mdast').Paragraph} Paragraph + * @typedef {import('mdast').Root} Root + * @typedef {import('mdast').Strong} Strong + * @typedef {import('mdast').Text} Text + * @typedef {import('mdast').ThematicBreak} ThematicBreak + * @typedef {import('mdast').ReferenceType} ReferenceType + * @typedef {import('../index.js').CompileData} CompileData + */ + +/** + * @typedef {Root | Content} Node + * @typedef {Extract<Node, UnistParent>} Parent + * + * @typedef {Omit<UnistParent, 'type' | 'children'> & {type: 'fragment', children: Array<PhrasingContent>}} Fragment + */ + +/** + * @callback Transform + * Extra transform, to change the AST afterwards. + * @param {Root} tree + * Tree to transform. + * @returns {Root | undefined | null | void} + * New tree or nothing (in which case the current tree is used). + * + * @callback Handle + * Handle a token. + * @param {CompileContext} this + * Context. + * @param {Token} token + * Current token. + * @returns {void} + * Nothing. + * + * @typedef {Record<string, Handle>} Handles + * Token types mapping to handles + * + * @callback OnEnterError + * Handle the case where the `right` token is open, but it is closed (by the + * `left` token) or because we reached the end of the document. + * @param {Omit<CompileContext, 'sliceSerialize'>} this + * Context. + * @param {Token | undefined} left + * Left token. + * @param {Token} right + * Right token. + * @returns {void} + * Nothing. + * + * @callback OnExitError + * Handle the case where the `right` token is open but it is closed by + * exiting the `left` token. + * @param {Omit<CompileContext, 'sliceSerialize'>} this + * Context. + * @param {Token} left + * Left token. + * @param {Token} right + * Right token. + * @returns {void} + * Nothing. + * + * @typedef {[Token, OnEnterError | undefined]} TokenTuple + * Open token on the stack, with an optional error handler for when + * that token isn’t closed properly. + */ + +/** + * @typedef Config + * Configuration. + * + * We have our defaults, but extensions will add more. + * @property {Array<string>} canContainEols + * Token types where line endings are used. + * @property {Handles} enter + * Opening handles. + * @property {Handles} exit + * Closing handles. + * @property {Array<Transform>} transforms + * Tree transforms. + * + * @typedef {Partial<Config>} Extension + * Change how markdown tokens from micromark are turned into mdast. + * + * @typedef CompileContext + * mdast compiler context. + * @property {Array<Node | Fragment>} stack + * Stack of nodes. + * @property {Array<TokenTuple>} tokenStack + * Stack of tokens. + * @property {<Key extends keyof CompileData>(key: Key) => CompileData[Key]} getData + * Get data from the key/value store. + * @property {<Key extends keyof CompileData>(key: Key, value?: CompileData[Key]) => void} setData + * Set data into the key/value store. + * @property {(this: CompileContext) => void} buffer + * Capture some of the output data. + * @property {(this: CompileContext) => string} resume + * Stop capturing and access the output data. + * @property {<Kind extends Node>(this: CompileContext, node: Kind, token: Token, onError?: OnEnterError) => Kind} enter + * Enter a token. + * @property {(this: CompileContext, token: Token, onError?: OnExitError) => Node} exit + * Exit a token. + * @property {TokenizeContext['sliceSerialize']} sliceSerialize + * Get the string value of a token. + * @property {Config} config + * Configuration. + * + * @typedef FromMarkdownOptions + * Configuration for how to build mdast. + * @property {Array<Extension | Array<Extension>> | null | undefined} [mdastExtensions] + * Extensions for this utility to change how tokens are turned into a tree. + * + * @typedef {ParseOptions & FromMarkdownOptions} Options + * Configuration. + */ + +// To do: micromark: create a registry of tokens? +// To do: next major: don’t return given `Node` from `enter`. +// To do: next major: remove setter/getter. + + + + + + + + + + +const lib_own = {}.hasOwnProperty + +/** + * @param value + * Markdown to parse. + * @param encoding + * Character encoding for when `value` is `Buffer`. + * @param options + * Configuration. + * @returns + * mdast tree. + */ +const fromMarkdown = + /** + * @type {( + * ((value: Value, encoding: Encoding, options?: Options | null | undefined) => Root) & + * ((value: Value, options?: Options | null | undefined) => Root) + * )} + */ + + /** + * @param {Value} value + * @param {Encoding | Options | null | undefined} [encoding] + * @param {Options | null | undefined} [options] + * @returns {Root} + */ + function (value, encoding, options) { + if (typeof encoding !== 'string') { + options = encoding + encoding = undefined + } + return compiler(options)( + postprocess( + parse(options).document().write(preprocess()(value, encoding, true)) + ) + ) + } + +/** + * Note this compiler only understand complete buffering, not streaming. + * + * @param {Options | null | undefined} [options] + */ +function compiler(options) { + /** @type {Config} */ + const config = { + transforms: [], + canContainEols: ['emphasis', 'fragment', 'heading', 'paragraph', 'strong'], + enter: { + autolink: opener(link), + autolinkProtocol: onenterdata, + autolinkEmail: onenterdata, + atxHeading: opener(heading), + blockQuote: opener(blockQuote), + characterEscape: onenterdata, + characterReference: onenterdata, + codeFenced: opener(codeFlow), + codeFencedFenceInfo: buffer, + codeFencedFenceMeta: buffer, + codeIndented: opener(codeFlow, buffer), + codeText: opener(codeText, buffer), + codeTextData: onenterdata, + data: onenterdata, + codeFlowValue: onenterdata, + definition: opener(definition), + definitionDestinationString: buffer, + definitionLabelString: buffer, + definitionTitleString: buffer, + emphasis: opener(emphasis), + hardBreakEscape: opener(hardBreak), + hardBreakTrailing: opener(hardBreak), + htmlFlow: opener(html, buffer), + htmlFlowData: onenterdata, + htmlText: opener(html, buffer), + htmlTextData: onenterdata, + image: opener(image), + label: buffer, + link: opener(link), + listItem: opener(listItem), + listItemValue: onenterlistitemvalue, + listOrdered: opener(list, onenterlistordered), + listUnordered: opener(list), + paragraph: opener(paragraph), + reference: onenterreference, + referenceString: buffer, + resourceDestinationString: buffer, + resourceTitleString: buffer, + setextHeading: opener(heading), + strong: opener(strong), + thematicBreak: opener(thematicBreak) + }, + exit: { + atxHeading: closer(), + atxHeadingSequence: onexitatxheadingsequence, + autolink: closer(), + autolinkEmail: onexitautolinkemail, + autolinkProtocol: onexitautolinkprotocol, + blockQuote: closer(), + characterEscapeValue: onexitdata, + characterReferenceMarkerHexadecimal: onexitcharacterreferencemarker, + characterReferenceMarkerNumeric: onexitcharacterreferencemarker, + characterReferenceValue: onexitcharacterreferencevalue, + codeFenced: closer(onexitcodefenced), + codeFencedFence: onexitcodefencedfence, + codeFencedFenceInfo: onexitcodefencedfenceinfo, + codeFencedFenceMeta: onexitcodefencedfencemeta, + codeFlowValue: onexitdata, + codeIndented: closer(onexitcodeindented), + codeText: closer(onexitcodetext), + codeTextData: onexitdata, + data: onexitdata, + definition: closer(), + definitionDestinationString: onexitdefinitiondestinationstring, + definitionLabelString: onexitdefinitionlabelstring, + definitionTitleString: onexitdefinitiontitlestring, + emphasis: closer(), + hardBreakEscape: closer(onexithardbreak), + hardBreakTrailing: closer(onexithardbreak), + htmlFlow: closer(onexithtmlflow), + htmlFlowData: onexitdata, + htmlText: closer(onexithtmltext), + htmlTextData: onexitdata, + image: closer(onexitimage), + label: onexitlabel, + labelText: onexitlabeltext, + lineEnding: onexitlineending, + link: closer(onexitlink), + listItem: closer(), + listOrdered: closer(), + listUnordered: closer(), + paragraph: closer(), + referenceString: onexitreferencestring, + resourceDestinationString: onexitresourcedestinationstring, + resourceTitleString: onexitresourcetitlestring, + resource: onexitresource, + setextHeading: closer(onexitsetextheading), + setextHeadingLineSequence: onexitsetextheadinglinesequence, + setextHeadingText: onexitsetextheadingtext, + strong: closer(), + thematicBreak: closer() + } + } + configure(config, (options || {}).mdastExtensions || []) + + /** @type {CompileData} */ + const data = {} + return compile + + /** + * Turn micromark events into an mdast tree. + * + * @param {Array<Event>} events + * Events. + * @returns {Root} + * mdast tree. + */ + function compile(events) { + /** @type {Root} */ + let tree = { + type: 'root', + children: [] + } + /** @type {Omit<CompileContext, 'sliceSerialize'>} */ + const context = { + stack: [tree], + tokenStack: [], + config, + enter, + exit, + buffer, + resume, + setData, + getData + } + /** @type {Array<number>} */ + const listStack = [] + let index = -1 + while (++index < events.length) { + // We preprocess lists to add `listItem` tokens, and to infer whether + // items the list itself are spread out. + if ( + events[index][1].type === 'listOrdered' || + events[index][1].type === 'listUnordered' + ) { + if (events[index][0] === 'enter') { + listStack.push(index) + } else { + const tail = listStack.pop() + index = prepareList(events, tail, index) + } + } + } + index = -1 + while (++index < events.length) { + const handler = config[events[index][0]] + if (lib_own.call(handler, events[index][1].type)) { + handler[events[index][1].type].call( + Object.assign( + { + sliceSerialize: events[index][2].sliceSerialize + }, + context + ), + events[index][1] + ) + } + } + + // Handle tokens still being open. + if (context.tokenStack.length > 0) { + const tail = context.tokenStack[context.tokenStack.length - 1] + const handler = tail[1] || defaultOnError + handler.call(context, undefined, tail[0]) + } + + // Figure out `root` position. + tree.position = { + start: lib_point( + events.length > 0 + ? events[0][1].start + : { + line: 1, + column: 1, + offset: 0 + } + ), + end: lib_point( + events.length > 0 + ? events[events.length - 2][1].end + : { + line: 1, + column: 1, + offset: 0 + } + ) + } + + // Call transforms. + index = -1 + while (++index < config.transforms.length) { + tree = config.transforms[index](tree) || tree + } + return tree + } + + /** + * @param {Array<Event>} events + * @param {number} start + * @param {number} length + * @returns {number} + */ + function prepareList(events, start, length) { + let index = start - 1 + let containerBalance = -1 + let listSpread = false + /** @type {Token | undefined} */ + let listItem + /** @type {number | undefined} */ + let lineIndex + /** @type {number | undefined} */ + let firstBlankLineIndex + /** @type {boolean | undefined} */ + let atMarker + while (++index <= length) { + const event = events[index] + if ( + event[1].type === 'listUnordered' || + event[1].type === 'listOrdered' || + event[1].type === 'blockQuote' + ) { + if (event[0] === 'enter') { + containerBalance++ + } else { + containerBalance-- + } + atMarker = undefined + } else if (event[1].type === 'lineEndingBlank') { + if (event[0] === 'enter') { + if ( + listItem && + !atMarker && + !containerBalance && + !firstBlankLineIndex + ) { + firstBlankLineIndex = index + } + atMarker = undefined + } + } else if ( + event[1].type === 'linePrefix' || + event[1].type === 'listItemValue' || + event[1].type === 'listItemMarker' || + event[1].type === 'listItemPrefix' || + event[1].type === 'listItemPrefixWhitespace' + ) { + // Empty. + } else { + atMarker = undefined + } + if ( + (!containerBalance && + event[0] === 'enter' && + event[1].type === 'listItemPrefix') || + (containerBalance === -1 && + event[0] === 'exit' && + (event[1].type === 'listUnordered' || + event[1].type === 'listOrdered')) + ) { + if (listItem) { + let tailIndex = index + lineIndex = undefined + while (tailIndex--) { + const tailEvent = events[tailIndex] + if ( + tailEvent[1].type === 'lineEnding' || + tailEvent[1].type === 'lineEndingBlank' + ) { + if (tailEvent[0] === 'exit') continue + if (lineIndex) { + events[lineIndex][1].type = 'lineEndingBlank' + listSpread = true + } + tailEvent[1].type = 'lineEnding' + lineIndex = tailIndex + } else if ( + tailEvent[1].type === 'linePrefix' || + tailEvent[1].type === 'blockQuotePrefix' || + tailEvent[1].type === 'blockQuotePrefixWhitespace' || + tailEvent[1].type === 'blockQuoteMarker' || + tailEvent[1].type === 'listItemIndent' + ) { + // Empty + } else { + break + } + } + if ( + firstBlankLineIndex && + (!lineIndex || firstBlankLineIndex < lineIndex) + ) { + listItem._spread = true + } + + // Fix position. + listItem.end = Object.assign( + {}, + lineIndex ? events[lineIndex][1].start : event[1].end + ) + events.splice(lineIndex || index, 0, ['exit', listItem, event[2]]) + index++ + length++ + } + + // Create a new list item. + if (event[1].type === 'listItemPrefix') { + listItem = { + type: 'listItem', + _spread: false, + start: Object.assign({}, event[1].start), + // @ts-expect-error: we’ll add `end` in a second. + end: undefined + } + // @ts-expect-error: `listItem` is most definitely defined, TS... + events.splice(index, 0, ['enter', listItem, event[2]]) + index++ + length++ + firstBlankLineIndex = undefined + atMarker = true + } + } + } + events[start][1]._spread = listSpread + return length + } + + /** + * Set data. + * + * @template {keyof CompileData} Key + * Field type. + * @param {Key} key + * Key of field. + * @param {CompileData[Key]} [value] + * New value. + * @returns {void} + * Nothing. + */ + function setData(key, value) { + data[key] = value + } + + /** + * Get data. + * + * @template {keyof CompileData} Key + * Field type. + * @param {Key} key + * Key of field. + * @returns {CompileData[Key]} + * Value. + */ + function getData(key) { + return data[key] + } + + /** + * Create an opener handle. + * + * @param {(token: Token) => Node} create + * Create a node. + * @param {Handle} [and] + * Optional function to also run. + * @returns {Handle} + * Handle. + */ + function opener(create, and) { + return open + + /** + * @this {CompileContext} + * @param {Token} token + * @returns {void} + */ + function open(token) { + enter.call(this, create(token), token) + if (and) and.call(this, token) + } + } + + /** + * @this {CompileContext} + * @returns {void} + */ + function buffer() { + this.stack.push({ + type: 'fragment', + children: [] + }) + } + + /** + * @template {Node} Kind + * Node type. + * @this {CompileContext} + * Context. + * @param {Kind} node + * Node to enter. + * @param {Token} token + * Corresponding token. + * @param {OnEnterError | undefined} [errorHandler] + * Handle the case where this token is open, but it is closed by something else. + * @returns {Kind} + * The given node. + */ + function enter(node, token, errorHandler) { + const parent = this.stack[this.stack.length - 1] + // @ts-expect-error: Assume `Node` can exist as a child of `parent`. + parent.children.push(node) + this.stack.push(node) + this.tokenStack.push([token, errorHandler]) + // @ts-expect-error: `end` will be patched later. + node.position = { + start: lib_point(token.start) + } + return node + } + + /** + * Create a closer handle. + * + * @param {Handle} [and] + * Optional function to also run. + * @returns {Handle} + * Handle. + */ + function closer(and) { + return close + + /** + * @this {CompileContext} + * @param {Token} token + * @returns {void} + */ + function close(token) { + if (and) and.call(this, token) + exit.call(this, token) + } + } + + /** + * @this {CompileContext} + * Context. + * @param {Token} token + * Corresponding token. + * @param {OnExitError | undefined} [onExitError] + * Handle the case where another token is open. + * @returns {Node} + * The closed node. + */ + function exit(token, onExitError) { + const node = this.stack.pop() + const open = this.tokenStack.pop() + if (!open) { + throw new Error( + 'Cannot close `' + + token.type + + '` (' + + stringifyPosition({ + start: token.start, + end: token.end + }) + + '): it’s not open' + ) + } else if (open[0].type !== token.type) { + if (onExitError) { + onExitError.call(this, token, open[0]) + } else { + const handler = open[1] || defaultOnError + handler.call(this, token, open[0]) + } + } + node.position.end = lib_point(token.end) + return node + } + + /** + * @this {CompileContext} + * @returns {string} + */ + function resume() { + return lib_toString(this.stack.pop()) + } + + // + // Handlers. + // + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onenterlistordered() { + setData('expectingFirstListItemValue', true) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onenterlistitemvalue(token) { + if (getData('expectingFirstListItemValue')) { + const ancestor = this.stack[this.stack.length - 2] + ancestor.start = Number.parseInt(this.sliceSerialize(token), 10) + setData('expectingFirstListItemValue') + } + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodefencedfenceinfo() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.lang = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodefencedfencemeta() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.meta = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodefencedfence() { + // Exit if this is the closing fence. + if (getData('flowCodeInside')) return + this.buffer() + setData('flowCodeInside', true) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodefenced() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data.replace(/^(\r?\n|\r)|(\r?\n|\r)$/g, '') + setData('flowCodeInside') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcodeindented() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data.replace(/(\r?\n|\r)$/g, '') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitdefinitionlabelstring(token) { + const label = this.resume() + const node = this.stack[this.stack.length - 1] + node.label = label + node.identifier = normalizeIdentifier( + this.sliceSerialize(token) + ).toLowerCase() + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitdefinitiontitlestring() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.title = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitdefinitiondestinationstring() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.url = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitatxheadingsequence(token) { + const node = this.stack[this.stack.length - 1] + if (!node.depth) { + const depth = this.sliceSerialize(token).length + node.depth = depth + } + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitsetextheadingtext() { + setData('setextHeadingSlurpLineEnding', true) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitsetextheadinglinesequence(token) { + const node = this.stack[this.stack.length - 1] + node.depth = this.sliceSerialize(token).charCodeAt(0) === 61 ? 1 : 2 + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitsetextheading() { + setData('setextHeadingSlurpLineEnding') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onenterdata(token) { + const node = this.stack[this.stack.length - 1] + let tail = node.children[node.children.length - 1] + if (!tail || tail.type !== 'text') { + // Add a new text node. + tail = text() + // @ts-expect-error: we’ll add `end` later. + tail.position = { + start: lib_point(token.start) + } + // @ts-expect-error: Assume `parent` accepts `text`. + node.children.push(tail) + } + this.stack.push(tail) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitdata(token) { + const tail = this.stack.pop() + tail.value += this.sliceSerialize(token) + tail.position.end = lib_point(token.end) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitlineending(token) { + const context = this.stack[this.stack.length - 1] + // If we’re at a hard break, include the line ending in there. + if (getData('atHardBreak')) { + const tail = context.children[context.children.length - 1] + tail.position.end = lib_point(token.end) + setData('atHardBreak') + return + } + if ( + !getData('setextHeadingSlurpLineEnding') && + config.canContainEols.includes(context.type) + ) { + onenterdata.call(this, token) + onexitdata.call(this, token) + } + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexithardbreak() { + setData('atHardBreak', true) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexithtmlflow() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexithtmltext() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitcodetext() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.value = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitlink() { + const node = this.stack[this.stack.length - 1] + // Note: there are also `identifier` and `label` fields on this link node! + // These are used / cleaned here. + // To do: clean. + if (getData('inReference')) { + /** @type {ReferenceType} */ + const referenceType = getData('referenceType') || 'shortcut' + node.type += 'Reference' + // @ts-expect-error: mutate. + node.referenceType = referenceType + // @ts-expect-error: mutate. + delete node.url + delete node.title + } else { + // @ts-expect-error: mutate. + delete node.identifier + // @ts-expect-error: mutate. + delete node.label + } + setData('referenceType') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitimage() { + const node = this.stack[this.stack.length - 1] + // Note: there are also `identifier` and `label` fields on this link node! + // These are used / cleaned here. + // To do: clean. + if (getData('inReference')) { + /** @type {ReferenceType} */ + const referenceType = getData('referenceType') || 'shortcut' + node.type += 'Reference' + // @ts-expect-error: mutate. + node.referenceType = referenceType + // @ts-expect-error: mutate. + delete node.url + delete node.title + } else { + // @ts-expect-error: mutate. + delete node.identifier + // @ts-expect-error: mutate. + delete node.label + } + setData('referenceType') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitlabeltext(token) { + const string = this.sliceSerialize(token) + const ancestor = this.stack[this.stack.length - 2] + // @ts-expect-error: stash this on the node, as it might become a reference + // later. + ancestor.label = decodeString(string) + // @ts-expect-error: same as above. + ancestor.identifier = normalizeIdentifier(string).toLowerCase() + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitlabel() { + const fragment = this.stack[this.stack.length - 1] + const value = this.resume() + const node = this.stack[this.stack.length - 1] + // Assume a reference. + setData('inReference', true) + if (node.type === 'link') { + /** @type {Array<StaticPhrasingContent>} */ + // @ts-expect-error: Assume static phrasing content. + const children = fragment.children + node.children = children + } else { + node.alt = value + } + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitresourcedestinationstring() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.url = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitresourcetitlestring() { + const data = this.resume() + const node = this.stack[this.stack.length - 1] + node.title = data + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitresource() { + setData('inReference') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onenterreference() { + setData('referenceType', 'collapsed') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitreferencestring(token) { + const label = this.resume() + const node = this.stack[this.stack.length - 1] + // @ts-expect-error: stash this on the node, as it might become a reference + // later. + node.label = label + // @ts-expect-error: same as above. + node.identifier = normalizeIdentifier( + this.sliceSerialize(token) + ).toLowerCase() + setData('referenceType', 'full') + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + + function onexitcharacterreferencemarker(token) { + setData('characterReferenceType', token.type) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitcharacterreferencevalue(token) { + const data = this.sliceSerialize(token) + const type = getData('characterReferenceType') + /** @type {string} */ + let value + if (type) { + value = decodeNumericCharacterReference( + data, + type === 'characterReferenceMarkerNumeric' ? 10 : 16 + ) + setData('characterReferenceType') + } else { + const result = decodeNamedCharacterReference(data) + value = result + } + const tail = this.stack.pop() + tail.value += value + tail.position.end = lib_point(token.end) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitautolinkprotocol(token) { + onexitdata.call(this, token) + const node = this.stack[this.stack.length - 1] + node.url = this.sliceSerialize(token) + } + + /** + * @this {CompileContext} + * @type {Handle} + */ + function onexitautolinkemail(token) { + onexitdata.call(this, token) + const node = this.stack[this.stack.length - 1] + node.url = 'mailto:' + this.sliceSerialize(token) + } + + // + // Creaters. + // + + /** @returns {Blockquote} */ + function blockQuote() { + return { + type: 'blockquote', + children: [] + } + } + + /** @returns {Code} */ + function codeFlow() { + return { + type: 'code', + lang: null, + meta: null, + value: '' + } + } + + /** @returns {InlineCode} */ + function codeText() { + return { + type: 'inlineCode', + value: '' + } + } + + /** @returns {Definition} */ + function definition() { + return { + type: 'definition', + identifier: '', + label: null, + title: null, + url: '' + } + } + + /** @returns {Emphasis} */ + function emphasis() { + return { + type: 'emphasis', + children: [] + } + } + + /** @returns {Heading} */ + function heading() { + // @ts-expect-error `depth` will be set later. + return { + type: 'heading', + depth: undefined, + children: [] + } + } + + /** @returns {Break} */ + function hardBreak() { + return { + type: 'break' + } + } + + /** @returns {HTML} */ + function html() { + return { + type: 'html', + value: '' + } + } + + /** @returns {Image} */ + function image() { + return { + type: 'image', + title: null, + url: '', + alt: null + } + } + + /** @returns {Link} */ + function link() { + return { + type: 'link', + title: null, + url: '', + children: [] + } + } + + /** + * @param {Token} token + * @returns {List} + */ + function list(token) { + return { + type: 'list', + ordered: token.type === 'listOrdered', + start: null, + spread: token._spread, + children: [] + } + } + + /** + * @param {Token} token + * @returns {ListItem} + */ + function listItem(token) { + return { + type: 'listItem', + spread: token._spread, + checked: null, + children: [] + } + } + + /** @returns {Paragraph} */ + function paragraph() { + return { + type: 'paragraph', + children: [] + } + } + + /** @returns {Strong} */ + function strong() { + return { + type: 'strong', + children: [] + } + } + + /** @returns {Text} */ + function text() { + return { + type: 'text', + value: '' + } + } + + /** @returns {ThematicBreak} */ + function thematicBreak() { + return { + type: 'thematicBreak' + } + } +} + +/** + * Copy a point-like value. + * + * @param {Point} d + * Point-like value. + * @returns {Point} + * unist point. + */ +function lib_point(d) { + return { + line: d.line, + column: d.column, + offset: d.offset + } +} + +/** + * @param {Config} combined + * @param {Array<Extension | Array<Extension>>} extensions + * @returns {void} + */ +function configure(combined, extensions) { + let index = -1 + while (++index < extensions.length) { + const value = extensions[index] + if (Array.isArray(value)) { + configure(combined, value) + } else { + extension(combined, value) + } + } +} + +/** + * @param {Config} combined + * @param {Extension} extension + * @returns {void} + */ +function extension(combined, extension) { + /** @type {keyof Extension} */ + let key + for (key in extension) { + if (lib_own.call(extension, key)) { + if (key === 'canContainEols') { + const right = extension[key] + if (right) { + combined[key].push(...right) + } + } else if (key === 'transforms') { + const right = extension[key] + if (right) { + combined[key].push(...right) + } + } else if (key === 'enter' || key === 'exit') { + const right = extension[key] + if (right) { + Object.assign(combined[key], right) + } + } + } + } +} + +/** @type {OnEnterError} */ +function defaultOnError(left, right) { + if (left) { + throw new Error( + 'Cannot close `' + + left.type + + '` (' + + stringifyPosition({ + start: left.start, + end: left.end + }) + + '): a different token (`' + + right.type + + '`, ' + + stringifyPosition({ + start: right.start, + end: right.end + }) + + ') is open' + ) + } else { + throw new Error( + 'Cannot close document, a token (`' + + right.type + + '`, ' + + stringifyPosition({ + start: right.start, + end: right.end + }) + + ') is still open' + ) + } +} + +// EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js +var esm = __webpack_require__(71408); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-423428c9.js + + + +function preprocessMarkdown(markdown) { + const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); + const withoutExtraSpaces = (0,esm/* dedent */.s)(withoutMultipleNewlines); + return withoutExtraSpaces; +} +function markdownToLines(markdown) { + const preprocessedMarkdown = preprocessMarkdown(markdown); + const { children } = fromMarkdown(preprocessedMarkdown); + const lines = [[]]; + let currentLine = 0; + function processNode(node, parentType = "normal") { + if (node.type === "text") { + const textLines = node.value.split("\n"); + textLines.forEach((textLine, index) => { + if (index !== 0) { + currentLine++; + lines.push([]); + } + textLine.split(" ").forEach((word) => { + if (word) { + lines[currentLine].push({ content: word, type: parentType }); + } + }); + }); + } else if (node.type === "strong" || node.type === "emphasis") { + node.children.forEach((contentNode) => { + processNode(contentNode, node.type); + }); + } + } + children.forEach((treeNode) => { + if (treeNode.type === "paragraph") { + treeNode.children.forEach((contentNode) => { + processNode(contentNode); + }); + } + }); + return lines; +} +function markdownToHTML(markdown) { + const { children } = fromMarkdown(markdown); + function output(node) { + if (node.type === "text") { + return node.value.replace(/\n/g, "<br/>"); + } else if (node.type === "strong") { + return `<strong>${node.children.map(output).join("")}</strong>`; + } else if (node.type === "emphasis") { + return `<em>${node.children.map(output).join("")}</em>`; + } else if (node.type === "paragraph") { + return `<p>${node.children.map(output).join("")}</p>`; + } + return `Unsupported markdown: ${node.type}`; + } + return children.map(output).join(""); +} +function splitTextToChars(text) { + if (Intl.Segmenter) { + return [...new Intl.Segmenter().segment(text)].map((s) => s.segment); + } + return [...text]; +} +function splitWordToFitWidth(checkFit, word) { + const characters = splitTextToChars(word.content); + return splitWordToFitWidthRecursion(checkFit, [], characters, word.type); +} +function splitWordToFitWidthRecursion(checkFit, usedChars, remainingChars, type) { + if (remainingChars.length === 0) { + return [ + { content: usedChars.join(""), type }, + { content: "", type } + ]; + } + const [nextChar, ...rest] = remainingChars; + const newWord = [...usedChars, nextChar]; + if (checkFit([{ content: newWord.join(""), type }])) { + return splitWordToFitWidthRecursion(checkFit, newWord, rest, type); + } + if (usedChars.length === 0 && nextChar) { + usedChars.push(nextChar); + remainingChars.shift(); + } + return [ + { content: usedChars.join(""), type }, + { content: remainingChars.join(""), type } + ]; +} +function splitLineToFitWidth(line, checkFit) { + if (line.some(({ content }) => content.includes("\n"))) { + throw new Error("splitLineToFitWidth does not support newlines in the line"); + } + return splitLineToFitWidthRecursion(line, checkFit); +} +function splitLineToFitWidthRecursion(words, checkFit, lines = [], newLine = []) { + if (words.length === 0) { + if (newLine.length > 0) { + lines.push(newLine); + } + return lines.length > 0 ? lines : []; + } + let joiner = ""; + if (words[0].content === " ") { + joiner = " "; + words.shift(); + } + const nextWord = words.shift() ?? { content: " ", type: "normal" }; + const lineWithNextWord = [...newLine]; + if (joiner !== "") { + lineWithNextWord.push({ content: joiner, type: "normal" }); + } + lineWithNextWord.push(nextWord); + if (checkFit(lineWithNextWord)) { + return splitLineToFitWidthRecursion(words, checkFit, lines, lineWithNextWord); + } + if (newLine.length > 0) { + lines.push(newLine); + words.unshift(nextWord); + } else if (nextWord.content) { + const [line, rest] = splitWordToFitWidth(checkFit, nextWord); + lines.push([line]); + if (rest.content) { + words.unshift(rest); + } + } + return splitLineToFitWidthRecursion(words, checkFit, lines); +} +function applyStyle(dom, styleFn) { + if (styleFn) { + dom.attr("style", styleFn); + } +} +function addHtmlSpan(element, node, width, classes, addBackground = false) { + const fo = element.append("foreignObject"); + const div = fo.append("xhtml:div"); + const label = node.label; + const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; + div.html( + ` + <span class="${labelClass} ${classes}" ` + (node.labelStyle ? 'style="' + node.labelStyle + '"' : "") + ">" + label + "</span>" + ); + applyStyle(div, node.labelStyle); + div.style("display", "table-cell"); + div.style("white-space", "nowrap"); + div.style("max-width", width + "px"); + div.attr("xmlns", "http://www.w3.org/1999/xhtml"); + if (addBackground) { + div.attr("class", "labelBkg"); + } + let bbox = div.node().getBoundingClientRect(); + if (bbox.width === width) { + div.style("display", "table"); + div.style("white-space", "break-spaces"); + div.style("width", width + "px"); + bbox = div.node().getBoundingClientRect(); + } + fo.style("width", bbox.width); + fo.style("height", bbox.height); + return fo.node(); +} +function createTspan(textElement, lineIndex, lineHeight) { + return textElement.append("tspan").attr("class", "text-outer-tspan").attr("x", 0).attr("y", lineIndex * lineHeight - 0.1 + "em").attr("dy", lineHeight + "em"); +} +function computeWidthOfText(parentNode, lineHeight, line) { + const testElement = parentNode.append("text"); + const testSpan = createTspan(testElement, 1, lineHeight); + updateTextContentAndStyles(testSpan, line); + const textLength = testSpan.node().getComputedTextLength(); + testElement.remove(); + return textLength; +} +function computeDimensionOfText(parentNode, lineHeight, text) { + var _a; + const testElement = parentNode.append("text"); + const testSpan = createTspan(testElement, 1, lineHeight); + updateTextContentAndStyles(testSpan, [{ content: text, type: "normal" }]); + const textDimension = (_a = testSpan.node()) == null ? void 0 : _a.getBoundingClientRect(); + if (textDimension) { + testElement.remove(); + } + return textDimension; +} +function createFormattedText(width, g, structuredText, addBackground = false) { + const lineHeight = 1.1; + const labelGroup = g.append("g"); + const bkg = labelGroup.insert("rect").attr("class", "background"); + const textElement = labelGroup.append("text").attr("y", "-10.1"); + let lineIndex = 0; + for (const line of structuredText) { + const checkWidth = (line2) => computeWidthOfText(labelGroup, lineHeight, line2) <= width; + const linesUnderWidth = checkWidth(line) ? [line] : splitLineToFitWidth(line, checkWidth); + for (const preparedLine of linesUnderWidth) { + const tspan = createTspan(textElement, lineIndex, lineHeight); + updateTextContentAndStyles(tspan, preparedLine); + lineIndex++; + } + } + if (addBackground) { + const bbox = textElement.node().getBBox(); + const padding = 2; + bkg.attr("x", -padding).attr("y", -padding).attr("width", bbox.width + 2 * padding).attr("height", bbox.height + 2 * padding); + return labelGroup.node(); + } else { + return textElement.node(); + } +} +function updateTextContentAndStyles(tspan, wrappedLine) { + tspan.text(""); + wrappedLine.forEach((word, index) => { + const innerTspan = tspan.append("tspan").attr("font-style", word.type === "emphasis" ? "italic" : "normal").attr("class", "text-inner-tspan").attr("font-weight", word.type === "strong" ? "bold" : "normal"); + if (index === 0) { + innerTspan.text(word.content); + } else { + innerTspan.text(" " + word.content); + } + }); +} +const createText = (el, text = "", { + style = "", + isTitle = false, + classes = "", + useHtmlLabels = true, + isNode = true, + width = 200, + addSvgBackground = false +} = {}) => { + mermaid_0603ccf8.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); + if (useHtmlLabels) { + const htmlText = markdownToHTML(text); + const node = { + isNode, + label: (0,mermaid_0603ccf8.J)(htmlText).replace( + /fa[blrs]?:fa-[\w-]+/g, + (s) => `<i class='${s.replace(":", " ")}'></i>` + ), + labelStyle: style.replace("fill:", "color:") + }; + const vertexNode = addHtmlSpan(el, node, width, classes, addSvgBackground); + return vertexNode; + } else { + const structuredText = markdownToLines(text); + const svgLabel = createFormattedText(width, el, structuredText, addSvgBackground); + return svgLabel; + } +}; + + + +/***/ }), + +/***/ 61240: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +"use strict"; +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ diagram: () => (/* binding */ diagram) +/* harmony export */ }); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79010); +/* harmony import */ var cytoscape__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(79460); +/* harmony import */ var cytoscape_cose_bilkent__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(81176); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(37352); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(73748); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(34176); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(67612); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_10__ = __webpack_require__(85219); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(57776); + + + + + + + + + + + + + + + +var parser = function() { + var o = function(k, v, o2, l) { + for (o2 = o2 || {}, l = k.length; l--; o2[k[l]] = v) + ; + return o2; + }, $V0 = [1, 4], $V1 = [1, 13], $V2 = [1, 12], $V3 = [1, 15], $V4 = [1, 16], $V5 = [1, 20], $V6 = [1, 19], $V7 = [6, 7, 8], $V8 = [1, 26], $V9 = [1, 24], $Va = [1, 25], $Vb = [6, 7, 11], $Vc = [1, 6, 13, 15, 16, 19, 22], $Vd = [1, 33], $Ve = [1, 34], $Vf = [1, 6, 7, 11, 13, 15, 16, 19, 22]; + var parser2 = { + trace: function trace() { + }, + yy: {}, + symbols_: { "error": 2, "start": 3, "mindMap": 4, "spaceLines": 5, "SPACELINE": 6, "NL": 7, "MINDMAP": 8, "document": 9, "stop": 10, "EOF": 11, "statement": 12, "SPACELIST": 13, "node": 14, "ICON": 15, "CLASS": 16, "nodeWithId": 17, "nodeWithoutId": 18, "NODE_DSTART": 19, "NODE_DESCR": 20, "NODE_DEND": 21, "NODE_ID": 22, "$accept": 0, "$end": 1 }, + terminals_: { 2: "error", 6: "SPACELINE", 7: "NL", 8: "MINDMAP", 11: "EOF", 13: "SPACELIST", 15: "ICON", 16: "CLASS", 19: "NODE_DSTART", 20: "NODE_DESCR", 21: "NODE_DEND", 22: "NODE_ID" }, + productions_: [0, [3, 1], [3, 2], [5, 1], [5, 2], [5, 2], [4, 2], [4, 3], [10, 1], [10, 1], [10, 1], [10, 2], [10, 2], [9, 3], [9, 2], [12, 2], [12, 2], [12, 2], [12, 1], [12, 1], [12, 1], [12, 1], [12, 1], [14, 1], [14, 1], [18, 3], [17, 1], [17, 4]], + performAction: function anonymous(yytext, yyleng, yylineno, yy, yystate, $$, _$) { + var $0 = $$.length - 1; + switch (yystate) { + case 6: + case 7: + return yy; + case 8: + yy.getLogger().trace("Stop NL "); + break; + case 9: + yy.getLogger().trace("Stop EOF "); + break; + case 11: + yy.getLogger().trace("Stop NL2 "); + break; + case 12: + yy.getLogger().trace("Stop EOF2 "); + break; + case 15: + yy.getLogger().info("Node: ", $$[$0].id); + yy.addNode($$[$0 - 1].length, $$[$0].id, $$[$0].descr, $$[$0].type); + break; + case 16: + yy.getLogger().trace("Icon: ", $$[$0]); + yy.decorateNode({ icon: $$[$0] }); + break; + case 17: + case 21: + yy.decorateNode({ class: $$[$0] }); + break; + case 18: + yy.getLogger().trace("SPACELIST"); + break; + case 19: + yy.getLogger().trace("Node: ", $$[$0].id); + yy.addNode(0, $$[$0].id, $$[$0].descr, $$[$0].type); + break; + case 20: + yy.decorateNode({ icon: $$[$0] }); + break; + case 25: + yy.getLogger().trace("node found ..", $$[$0 - 2]); + this.$ = { id: $$[$0 - 1], descr: $$[$0 - 1], type: yy.getType($$[$0 - 2], $$[$0]) }; + break; + case 26: + this.$ = { id: $$[$0], descr: $$[$0], type: yy.nodeType.DEFAULT }; + break; + case 27: + yy.getLogger().trace("node found ..", $$[$0 - 3]); + this.$ = { id: $$[$0 - 3], descr: $$[$0 - 1], type: yy.getType($$[$0 - 2], $$[$0]) }; + break; + } + }, + table: [{ 3: 1, 4: 2, 5: 3, 6: [1, 5], 8: $V0 }, { 1: [3] }, { 1: [2, 1] }, { 4: 6, 6: [1, 7], 7: [1, 8], 8: $V0 }, { 6: $V1, 7: [1, 10], 9: 9, 12: 11, 13: $V2, 14: 14, 15: $V3, 16: $V4, 17: 17, 18: 18, 19: $V5, 22: $V6 }, o($V7, [2, 3]), { 1: [2, 2] }, o($V7, [2, 4]), o($V7, [2, 5]), { 1: [2, 6], 6: $V1, 12: 21, 13: $V2, 14: 14, 15: $V3, 16: $V4, 17: 17, 18: 18, 19: $V5, 22: $V6 }, { 6: $V1, 9: 22, 12: 11, 13: $V2, 14: 14, 15: $V3, 16: $V4, 17: 17, 18: 18, 19: $V5, 22: $V6 }, { 6: $V8, 7: $V9, 10: 23, 11: $Va }, o($Vb, [2, 22], { 17: 17, 18: 18, 14: 27, 15: [1, 28], 16: [1, 29], 19: $V5, 22: $V6 }), o($Vb, [2, 18]), o($Vb, [2, 19]), o($Vb, [2, 20]), o($Vb, [2, 21]), o($Vb, [2, 23]), o($Vb, [2, 24]), o($Vb, [2, 26], { 19: [1, 30] }), { 20: [1, 31] }, { 6: $V8, 7: $V9, 10: 32, 11: $Va }, { 1: [2, 7], 6: $V1, 12: 21, 13: $V2, 14: 14, 15: $V3, 16: $V4, 17: 17, 18: 18, 19: $V5, 22: $V6 }, o($Vc, [2, 14], { 7: $Vd, 11: $Ve }), o($Vf, [2, 8]), o($Vf, [2, 9]), o($Vf, [2, 10]), o($Vb, [2, 15]), o($Vb, [2, 16]), o($Vb, [2, 17]), { 20: [1, 35] }, { 21: [1, 36] }, o($Vc, [2, 13], { 7: $Vd, 11: $Ve }), o($Vf, [2, 11]), o($Vf, [2, 12]), { 21: [1, 37] }, o($Vb, [2, 25]), o($Vb, [2, 27])], + defaultActions: { 2: [2, 1], 6: [2, 2] }, + parseError: function parseError(str, hash) { + if (hash.recoverable) { + this.trace(str); + } else { + var error = new Error(str); + error.hash = hash; + throw error; + } + }, + parse: function parse(input) { + var self = this, stack = [0], tstack = [], vstack = [null], lstack = [], table = this.table, yytext = "", yylineno = 0, yyleng = 0, TERROR = 2, EOF = 1; + var args = lstack.slice.call(arguments, 1); + var lexer2 = Object.create(this.lexer); + var sharedState = { yy: {} }; + for (var k in this.yy) { + if (Object.prototype.hasOwnProperty.call(this.yy, k)) { + sharedState.yy[k] = this.yy[k]; + } + } + lexer2.setInput(input, sharedState.yy); + sharedState.yy.lexer = lexer2; + sharedState.yy.parser = this; + if (typeof lexer2.yylloc == "undefined") { + lexer2.yylloc = {}; + } + var yyloc = lexer2.yylloc; + lstack.push(yyloc); + var ranges = lexer2.options && lexer2.options.ranges; + if (typeof sharedState.yy.parseError === "function") { + this.parseError = sharedState.yy.parseError; + } else { + this.parseError = Object.getPrototypeOf(this).parseError; + } + function lex() { + var token; + token = tstack.pop() || lexer2.lex() || EOF; + if (typeof token !== "number") { + if (token instanceof Array) { + tstack = token; + token = tstack.pop(); + } + token = self.symbols_[token] || token; + } + return token; + } + var symbol, state, action, r, yyval = {}, p, len, newState, expected; + while (true) { + state = stack[stack.length - 1]; + if (this.defaultActions[state]) { + action = this.defaultActions[state]; + } else { + if (symbol === null || typeof symbol == "undefined") { + symbol = lex(); + } + action = table[state] && table[state][symbol]; + } + if (typeof action === "undefined" || !action.length || !action[0]) { + var errStr = ""; + expected = []; + for (p in table[state]) { + if (this.terminals_[p] && p > TERROR) { + expected.push("'" + this.terminals_[p] + "'"); + } + } + if (lexer2.showPosition) { + errStr = "Parse error on line " + (yylineno + 1) + ":\n" + lexer2.showPosition() + "\nExpecting " + expected.join(", ") + ", got '" + (this.terminals_[symbol] || symbol) + "'"; + } else { + errStr = "Parse error on line " + (yylineno + 1) + ": Unexpected " + (symbol == EOF ? "end of input" : "'" + (this.terminals_[symbol] || symbol) + "'"); + } + this.parseError(errStr, { + text: lexer2.match, + token: this.terminals_[symbol] || symbol, + line: lexer2.yylineno, + loc: yyloc, + expected + }); + } + if (action[0] instanceof Array && action.length > 1) { + throw new Error("Parse Error: multiple actions possible at state: " + state + ", token: " + symbol); + } + switch (action[0]) { + case 1: + stack.push(symbol); + vstack.push(lexer2.yytext); + lstack.push(lexer2.yylloc); + stack.push(action[1]); + symbol = null; + { + yyleng = lexer2.yyleng; + yytext = lexer2.yytext; + yylineno = lexer2.yylineno; + yyloc = lexer2.yylloc; + } + break; + case 2: + len = this.productions_[action[1]][1]; + yyval.$ = vstack[vstack.length - len]; + yyval._$ = { + first_line: lstack[lstack.length - (len || 1)].first_line, + last_line: lstack[lstack.length - 1].last_line, + first_column: lstack[lstack.length - (len || 1)].first_column, + last_column: lstack[lstack.length - 1].last_column + }; + if (ranges) { + yyval._$.range = [ + lstack[lstack.length - (len || 1)].range[0], + lstack[lstack.length - 1].range[1] + ]; + } + r = this.performAction.apply(yyval, [ + yytext, + yyleng, + yylineno, + sharedState.yy, + action[1], + vstack, + lstack + ].concat(args)); + if (typeof r !== "undefined") { + return r; + } + if (len) { + stack = stack.slice(0, -1 * len * 2); + vstack = vstack.slice(0, -1 * len); + lstack = lstack.slice(0, -1 * len); + } + stack.push(this.productions_[action[1]][0]); + vstack.push(yyval.$); + lstack.push(yyval._$); + newState = table[stack[stack.length - 2]][stack[stack.length - 1]]; + stack.push(newState); + break; + case 3: + return true; + } + } + return true; + } + }; + var lexer = function() { + var lexer2 = { + EOF: 1, + parseError: function parseError(str, hash) { + if (this.yy.parser) { + this.yy.parser.parseError(str, hash); + } else { + throw new Error(str); + } + }, + // resets the lexer, sets new input + setInput: function(input, yy) { + this.yy = yy || this.yy || {}; + this._input = input; + this._more = this._backtrack = this.done = false; + this.yylineno = this.yyleng = 0; + this.yytext = this.matched = this.match = ""; + this.conditionStack = ["INITIAL"]; + this.yylloc = { + first_line: 1, + first_column: 0, + last_line: 1, + last_column: 0 + }; + if (this.options.ranges) { + this.yylloc.range = [0, 0]; + } + this.offset = 0; + return this; + }, + // consumes and returns one char from the input + input: function() { + var ch = this._input[0]; + this.yytext += ch; + this.yyleng++; + this.offset++; + this.match += ch; + this.matched += ch; + var lines = ch.match(/(?:\r\n?|\n).*/g); + if (lines) { + this.yylineno++; + this.yylloc.last_line++; + } else { + this.yylloc.last_column++; + } + if (this.options.ranges) { + this.yylloc.range[1]++; + } + this._input = this._input.slice(1); + return ch; + }, + // unshifts one char (or a string) into the input + unput: function(ch) { + var len = ch.length; + var lines = ch.split(/(?:\r\n?|\n)/g); + this._input = ch + this._input; + this.yytext = this.yytext.substr(0, this.yytext.length - len); + this.offset -= len; + var oldLines = this.match.split(/(?:\r\n?|\n)/g); + this.match = this.match.substr(0, this.match.length - 1); + this.matched = this.matched.substr(0, this.matched.length - 1); + if (lines.length - 1) { + this.yylineno -= lines.length - 1; + } + var r = this.yylloc.range; + this.yylloc = { + first_line: this.yylloc.first_line, + last_line: this.yylineno + 1, + first_column: this.yylloc.first_column, + last_column: lines ? (lines.length === oldLines.length ? this.yylloc.first_column : 0) + oldLines[oldLines.length - lines.length].length - lines[0].length : this.yylloc.first_column - len + }; + if (this.options.ranges) { + this.yylloc.range = [r[0], r[0] + this.yyleng - len]; + } + this.yyleng = this.yytext.length; + return this; + }, + // When called from action, caches matched text and appends it on next action + more: function() { + this._more = true; + return this; + }, + // When called from action, signals the lexer that this rule fails to match the input, so the next matching rule (regex) should be tested instead. + reject: function() { + if (this.options.backtrack_lexer) { + this._backtrack = true; + } else { + return this.parseError("Lexical error on line " + (this.yylineno + 1) + ". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n" + this.showPosition(), { + text: "", + token: null, + line: this.yylineno + }); + } + return this; + }, + // retain first n characters of the match + less: function(n) { + this.unput(this.match.slice(n)); + }, + // displays already matched input, i.e. for error messages + pastInput: function() { + var past = this.matched.substr(0, this.matched.length - this.match.length); + return (past.length > 20 ? "..." : "") + past.substr(-20).replace(/\n/g, ""); + }, + // displays upcoming input, i.e. for error messages + upcomingInput: function() { + var next = this.match; + if (next.length < 20) { + next += this._input.substr(0, 20 - next.length); + } + return (next.substr(0, 20) + (next.length > 20 ? "..." : "")).replace(/\n/g, ""); + }, + // displays the character position where the lexing error occurred, i.e. for error messages + showPosition: function() { + var pre = this.pastInput(); + var c = new Array(pre.length + 1).join("-"); + return pre + this.upcomingInput() + "\n" + c + "^"; + }, + // test the lexed token: return FALSE when not a match, otherwise return token + test_match: function(match, indexed_rule) { + var token, lines, backup; + if (this.options.backtrack_lexer) { + backup = { + yylineno: this.yylineno, + yylloc: { + first_line: this.yylloc.first_line, + last_line: this.last_line, + first_column: this.yylloc.first_column, + last_column: this.yylloc.last_column + }, + yytext: this.yytext, + match: this.match, + matches: this.matches, + matched: this.matched, + yyleng: this.yyleng, + offset: this.offset, + _more: this._more, + _input: this._input, + yy: this.yy, + conditionStack: this.conditionStack.slice(0), + done: this.done + }; + if (this.options.ranges) { + backup.yylloc.range = this.yylloc.range.slice(0); + } + } + lines = match[0].match(/(?:\r\n?|\n).*/g); + if (lines) { + this.yylineno += lines.length; + } + this.yylloc = { + first_line: this.yylloc.last_line, + last_line: this.yylineno + 1, + first_column: this.yylloc.last_column, + last_column: lines ? lines[lines.length - 1].length - lines[lines.length - 1].match(/\r?\n?/)[0].length : this.yylloc.last_column + match[0].length + }; + this.yytext += match[0]; + this.match += match[0]; + this.matches = match; + this.yyleng = this.yytext.length; + if (this.options.ranges) { + this.yylloc.range = [this.offset, this.offset += this.yyleng]; + } + this._more = false; + this._backtrack = false; + this._input = this._input.slice(match[0].length); + this.matched += match[0]; + token = this.performAction.call(this, this.yy, this, indexed_rule, this.conditionStack[this.conditionStack.length - 1]); + if (this.done && this._input) { + this.done = false; + } + if (token) { + return token; + } else if (this._backtrack) { + for (var k in backup) { + this[k] = backup[k]; + } + return false; + } + return false; + }, + // return next match in input + next: function() { + if (this.done) { + return this.EOF; + } + if (!this._input) { + this.done = true; + } + var token, match, tempMatch, index; + if (!this._more) { + this.yytext = ""; + this.match = ""; + } + var rules = this._currentRules(); + for (var i = 0; i < rules.length; i++) { + tempMatch = this._input.match(this.rules[rules[i]]); + if (tempMatch && (!match || tempMatch[0].length > match[0].length)) { + match = tempMatch; + index = i; + if (this.options.backtrack_lexer) { + token = this.test_match(tempMatch, rules[i]); + if (token !== false) { + return token; + } else if (this._backtrack) { + match = false; + continue; + } else { + return false; + } + } else if (!this.options.flex) { + break; + } + } + } + if (match) { + token = this.test_match(match, rules[index]); + if (token !== false) { + return token; + } + return false; + } + if (this._input === "") { + return this.EOF; + } else { + return this.parseError("Lexical error on line " + (this.yylineno + 1) + ". Unrecognized text.\n" + this.showPosition(), { + text: "", + token: null, + line: this.yylineno + }); + } + }, + // return next match that has a token + lex: function lex() { + var r = this.next(); + if (r) { + return r; + } else { + return this.lex(); + } + }, + // activates a new lexer condition state (pushes the new lexer condition state onto the condition stack) + begin: function begin(condition) { + this.conditionStack.push(condition); + }, + // pop the previously active lexer condition state off the condition stack + popState: function popState() { + var n = this.conditionStack.length - 1; + if (n > 0) { + return this.conditionStack.pop(); + } else { + return this.conditionStack[0]; + } + }, + // produce the lexer rule set which is active for the currently active lexer condition state + _currentRules: function _currentRules() { + if (this.conditionStack.length && this.conditionStack[this.conditionStack.length - 1]) { + return this.conditions[this.conditionStack[this.conditionStack.length - 1]].rules; + } else { + return this.conditions["INITIAL"].rules; + } + }, + // return the currently active lexer condition state; when an index argument is provided it produces the N-th previous condition state, if available + topState: function topState(n) { + n = this.conditionStack.length - 1 - Math.abs(n || 0); + if (n >= 0) { + return this.conditionStack[n]; + } else { + return "INITIAL"; + } + }, + // alias for begin(condition) + pushState: function pushState(condition) { + this.begin(condition); + }, + // return the number of states currently on the stack + stateStackSize: function stateStackSize() { + return this.conditionStack.length; + }, + options: { "case-insensitive": true }, + performAction: function anonymous(yy, yy_, $avoiding_name_collisions, YY_START) { + switch ($avoiding_name_collisions) { + case 0: + yy.getLogger().trace("Found comment", yy_.yytext); + return 6; + case 1: + return 8; + case 2: + this.begin("CLASS"); + break; + case 3: + this.popState(); + return 16; + case 4: + this.popState(); + break; + case 5: + yy.getLogger().trace("Begin icon"); + this.begin("ICON"); + break; + case 6: + yy.getLogger().trace("SPACELINE"); + return 6; + case 7: + return 7; + case 8: + return 15; + case 9: + yy.getLogger().trace("end icon"); + this.popState(); + break; + case 10: + yy.getLogger().trace("Exploding node"); + this.begin("NODE"); + return 19; + case 11: + yy.getLogger().trace("Cloud"); + this.begin("NODE"); + return 19; + case 12: + yy.getLogger().trace("Explosion Bang"); + this.begin("NODE"); + return 19; + case 13: + yy.getLogger().trace("Cloud Bang"); + this.begin("NODE"); + return 19; + case 14: + this.begin("NODE"); + return 19; + case 15: + this.begin("NODE"); + return 19; + case 16: + this.begin("NODE"); + return 19; + case 17: + this.begin("NODE"); + return 19; + case 18: + return 13; + case 19: + return 22; + case 20: + return 11; + case 21: + this.begin("NSTR2"); + break; + case 22: + return "NODE_DESCR"; + case 23: + this.popState(); + break; + case 24: + yy.getLogger().trace("Starting NSTR"); + this.begin("NSTR"); + break; + case 25: + yy.getLogger().trace("description:", yy_.yytext); + return "NODE_DESCR"; + case 26: + this.popState(); + break; + case 27: + this.popState(); + yy.getLogger().trace("node end ))"); + return "NODE_DEND"; + case 28: + this.popState(); + yy.getLogger().trace("node end )"); + return "NODE_DEND"; + case 29: + this.popState(); + yy.getLogger().trace("node end ...", yy_.yytext); + return "NODE_DEND"; + case 30: + this.popState(); + yy.getLogger().trace("node end (("); + return "NODE_DEND"; + case 31: + this.popState(); + yy.getLogger().trace("node end (-"); + return "NODE_DEND"; + case 32: + this.popState(); + yy.getLogger().trace("node end (-"); + return "NODE_DEND"; + case 33: + this.popState(); + yy.getLogger().trace("node end (("); + return "NODE_DEND"; + case 34: + this.popState(); + yy.getLogger().trace("node end (("); + return "NODE_DEND"; + case 35: + yy.getLogger().trace("Long description:", yy_.yytext); + return 20; + case 36: + yy.getLogger().trace("Long description:", yy_.yytext); + return 20; + } + }, + rules: [/^(?:\s*%%.*)/i, /^(?:mindmap\b)/i, /^(?::::)/i, /^(?:.+)/i, /^(?:\n)/i, /^(?:::icon\()/i, /^(?:[\s]+[\n])/i, /^(?:[\n]+)/i, /^(?:[^\)]+)/i, /^(?:\))/i, /^(?:-\))/i, /^(?:\(-)/i, /^(?:\)\))/i, /^(?:\))/i, /^(?:\(\()/i, /^(?:\{\{)/i, /^(?:\()/i, /^(?:\[)/i, /^(?:[\s]+)/i, /^(?:[^\(\[\n\)\{\}]+)/i, /^(?:$)/i, /^(?:["][`])/i, /^(?:[^`"]+)/i, /^(?:[`]["])/i, /^(?:["])/i, /^(?:[^"]+)/i, /^(?:["])/i, /^(?:[\)]\))/i, /^(?:[\)])/i, /^(?:[\]])/i, /^(?:\}\})/i, /^(?:\(-)/i, /^(?:-\))/i, /^(?:\(\()/i, /^(?:\()/i, /^(?:[^\)\]\(\}]+)/i, /^(?:.+(?!\(\())/i], + conditions: { "CLASS": { "rules": [3, 4], "inclusive": false }, "ICON": { "rules": [8, 9], "inclusive": false }, "NSTR2": { "rules": [22, 23], "inclusive": false }, "NSTR": { "rules": [25, 26], "inclusive": false }, "NODE": { "rules": [21, 24, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36], "inclusive": false }, "INITIAL": { "rules": [0, 1, 2, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "inclusive": true } } + }; + return lexer2; + }(); + parser2.lexer = lexer; + function Parser() { + this.yy = {}; + } + Parser.prototype = parser2; + parser2.Parser = Parser; + return new Parser(); +}(); +parser.parser = parser; +const parser$1 = parser; +let nodes = []; +let cnt = 0; +let elements = {}; +const clear = () => { + nodes = []; + cnt = 0; + elements = {}; +}; +const getParent = function(level) { + for (let i = nodes.length - 1; i >= 0; i--) { + if (nodes[i].level < level) { + return nodes[i]; + } + } + return null; +}; +const getMindmap = () => { + return nodes.length > 0 ? nodes[0] : null; +}; +const addNode = (level, id, descr, type) => { + var _a, _b; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("addNode", level, id, descr, type); + const conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)(); + let padding = ((_a = conf.mindmap) == null ? void 0 : _a.padding) ?? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.A.mindmap.padding; + switch (type) { + case nodeType.ROUNDED_RECT: + case nodeType.RECT: + case nodeType.HEXAGON: + padding *= 2; + } + const node = { + id: cnt++, + nodeId: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.d)(id, conf), + level, + descr: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.d)(descr, conf), + type, + children: [], + width: ((_b = conf.mindmap) == null ? void 0 : _b.maxNodeWidth) ?? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.A.mindmap.maxNodeWidth, + padding + }; + const parent = getParent(level); + if (parent) { + parent.children.push(node); + nodes.push(node); + } else { + if (nodes.length === 0) { + nodes.push(node); + } else { + throw new Error( + 'There can be only one root. No parent could be found for ("' + node.descr + '")' + ); + } + } +}; +const nodeType = { + DEFAULT: 0, + NO_BORDER: 0, + ROUNDED_RECT: 1, + RECT: 2, + CIRCLE: 3, + CLOUD: 4, + BANG: 5, + HEXAGON: 6 +}; +const getType = (startStr, endStr) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("In get type", startStr, endStr); + switch (startStr) { + case "[": + return nodeType.RECT; + case "(": + return endStr === ")" ? nodeType.ROUNDED_RECT : nodeType.CLOUD; + case "((": + return nodeType.CIRCLE; + case ")": + return nodeType.CLOUD; + case "))": + return nodeType.BANG; + case "{{": + return nodeType.HEXAGON; + default: + return nodeType.DEFAULT; + } +}; +const setElementForId = (id, element) => { + elements[id] = element; +}; +const decorateNode = (decoration) => { + if (!decoration) { + return; + } + const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)(); + const node = nodes[nodes.length - 1]; + if (decoration.icon) { + node.icon = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.d)(decoration.icon, config); + } + if (decoration.class) { + node.class = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.d)(decoration.class, config); + } +}; +const type2Str = (type) => { + switch (type) { + case nodeType.DEFAULT: + return "no-border"; + case nodeType.RECT: + return "rect"; + case nodeType.ROUNDED_RECT: + return "rounded-rect"; + case nodeType.CIRCLE: + return "circle"; + case nodeType.CLOUD: + return "cloud"; + case nodeType.BANG: + return "bang"; + case nodeType.HEXAGON: + return "hexgon"; + default: + return "no-border"; + } +}; +const getLogger = () => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l; +const getElementById = (id) => elements[id]; +const db = { + clear, + addNode, + getMindmap, + nodeType, + getType, + setElementForId, + decorateNode, + type2Str, + getLogger, + getElementById +}; +const db$1 = db; +const MAX_SECTIONS = 12; +const defaultBkg = function(db2, elem, node, section) { + const rd = 5; + elem.append("path").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + db2.type2Str(node.type)).attr( + "d", + `M0 ${node.height - rd} v${-node.height + 2 * rd} q0,-5 5,-5 h${node.width - 2 * rd} q5,0 5,5 v${node.height - rd} H0 Z` + ); + elem.append("line").attr("class", "node-line-" + section).attr("x1", 0).attr("y1", node.height).attr("x2", node.width).attr("y2", node.height); +}; +const rectBkg = function(db2, elem, node) { + elem.append("rect").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + db2.type2Str(node.type)).attr("height", node.height).attr("width", node.width); +}; +const cloudBkg = function(db2, elem, node) { + const w = node.width; + const h = node.height; + const r1 = 0.15 * w; + const r2 = 0.25 * w; + const r3 = 0.35 * w; + const r4 = 0.2 * w; + elem.append("path").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + db2.type2Str(node.type)).attr( + "d", + `M0 0 a${r1},${r1} 0 0,1 ${w * 0.25},${-1 * w * 0.1} + a${r3},${r3} 1 0,1 ${w * 0.4},${-1 * w * 0.1} + a${r2},${r2} 1 0,1 ${w * 0.35},${1 * w * 0.2} + + a${r1},${r1} 1 0,1 ${w * 0.15},${1 * h * 0.35} + a${r4},${r4} 1 0,1 ${-1 * w * 0.15},${1 * h * 0.65} + + a${r2},${r1} 1 0,1 ${-1 * w * 0.25},${w * 0.15} + a${r3},${r3} 1 0,1 ${-1 * w * 0.5},${0} + a${r1},${r1} 1 0,1 ${-1 * w * 0.25},${-1 * w * 0.15} + + a${r1},${r1} 1 0,1 ${-1 * w * 0.1},${-1 * h * 0.35} + a${r4},${r4} 1 0,1 ${w * 0.1},${-1 * h * 0.65} + + H0 V0 Z` + ); +}; +const bangBkg = function(db2, elem, node) { + const w = node.width; + const h = node.height; + const r = 0.15 * w; + elem.append("path").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + db2.type2Str(node.type)).attr( + "d", + `M0 0 a${r},${r} 1 0,0 ${w * 0.25},${-1 * h * 0.1} + a${r},${r} 1 0,0 ${w * 0.25},${0} + a${r},${r} 1 0,0 ${w * 0.25},${0} + a${r},${r} 1 0,0 ${w * 0.25},${1 * h * 0.1} + + a${r},${r} 1 0,0 ${w * 0.15},${1 * h * 0.33} + a${r * 0.8},${r * 0.8} 1 0,0 ${0},${1 * h * 0.34} + a${r},${r} 1 0,0 ${-1 * w * 0.15},${1 * h * 0.33} + + a${r},${r} 1 0,0 ${-1 * w * 0.25},${h * 0.15} + a${r},${r} 1 0,0 ${-1 * w * 0.25},${0} + a${r},${r} 1 0,0 ${-1 * w * 0.25},${0} + a${r},${r} 1 0,0 ${-1 * w * 0.25},${-1 * h * 0.15} + + a${r},${r} 1 0,0 ${-1 * w * 0.1},${-1 * h * 0.33} + a${r * 0.8},${r * 0.8} 1 0,0 ${0},${-1 * h * 0.34} + a${r},${r} 1 0,0 ${w * 0.1},${-1 * h * 0.33} + + H0 V0 Z` + ); +}; +const circleBkg = function(db2, elem, node) { + elem.append("circle").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + db2.type2Str(node.type)).attr("r", node.width / 2); +}; +function insertPolygonShape(parent, w, h, points, node) { + return parent.insert("polygon", ":first-child").attr( + "points", + points.map(function(d) { + return d.x + "," + d.y; + }).join(" ") + ).attr("transform", "translate(" + (node.width - w) / 2 + ", " + h + ")"); +} +const hexagonBkg = function(_db, elem, node) { + const h = node.height; + const f = 4; + const m = h / f; + const w = node.width - node.padding + 2 * m; + const points = [ + { x: m, y: 0 }, + { x: w - m, y: 0 }, + { x: w, y: -h / 2 }, + { x: w - m, y: -h }, + { x: m, y: -h }, + { x: 0, y: -h / 2 } + ]; + insertPolygonShape(elem, w, h, points, node); +}; +const roundedRectBkg = function(db2, elem, node) { + elem.append("rect").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + db2.type2Str(node.type)).attr("height", node.height).attr("rx", node.padding).attr("ry", node.padding).attr("width", node.width); +}; +const drawNode = function(db2, elem, node, fullSection, conf) { + const htmlLabels = conf.htmlLabels; + const section = fullSection % (MAX_SECTIONS - 1); + const nodeElem = elem.append("g"); + node.section = section; + let sectionClass = "section-" + section; + if (section < 0) { + sectionClass += " section-root"; + } + nodeElem.attr("class", (node.class ? node.class + " " : "") + "mindmap-node " + sectionClass); + const bkgElem = nodeElem.append("g"); + const textElem = nodeElem.append("g"); + const description = node.descr.replace(/(<br\/*>)/g, "\n"); + (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_7__.a)(textElem, description, { + useHtmlLabels: htmlLabels, + width: node.width, + classes: "mindmap-node-label" + }); + if (!htmlLabels) { + textElem.attr("dy", "1em").attr("alignment-baseline", "middle").attr("dominant-baseline", "middle").attr("text-anchor", "middle"); + } + const bbox = textElem.node().getBBox(); + const [fontSize] = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.C)(conf.fontSize); + node.height = bbox.height + fontSize * 1.1 * 0.5 + node.padding; + node.width = bbox.width + 2 * node.padding; + if (node.icon) { + if (node.type === db2.nodeType.CIRCLE) { + node.height += 50; + node.width += 50; + const icon = nodeElem.append("foreignObject").attr("height", "50px").attr("width", node.width).attr("style", "text-align: center;"); + icon.append("div").attr("class", "icon-container").append("i").attr("class", "node-icon-" + section + " " + node.icon); + textElem.attr( + "transform", + "translate(" + node.width / 2 + ", " + (node.height / 2 - 1.5 * node.padding) + ")" + ); + } else { + node.width += 50; + const orgHeight = node.height; + node.height = Math.max(orgHeight, 60); + const heightDiff = Math.abs(node.height - orgHeight); + const icon = nodeElem.append("foreignObject").attr("width", "60px").attr("height", node.height).attr("style", "text-align: center;margin-top:" + heightDiff / 2 + "px;"); + icon.append("div").attr("class", "icon-container").append("i").attr("class", "node-icon-" + section + " " + node.icon); + textElem.attr( + "transform", + "translate(" + (25 + node.width / 2) + ", " + (heightDiff / 2 + node.padding / 2) + ")" + ); + } + } else { + if (!htmlLabels) { + const dx = node.width / 2; + const dy = node.padding / 2; + textElem.attr("transform", "translate(" + dx + ", " + dy + ")"); + } else { + const dx = (node.width - bbox.width) / 2; + const dy = (node.height - bbox.height) / 2; + textElem.attr("transform", "translate(" + dx + ", " + dy + ")"); + } + } + switch (node.type) { + case db2.nodeType.DEFAULT: + defaultBkg(db2, bkgElem, node, section); + break; + case db2.nodeType.ROUNDED_RECT: + roundedRectBkg(db2, bkgElem, node); + break; + case db2.nodeType.RECT: + rectBkg(db2, bkgElem, node); + break; + case db2.nodeType.CIRCLE: + bkgElem.attr("transform", "translate(" + node.width / 2 + ", " + +node.height / 2 + ")"); + circleBkg(db2, bkgElem, node); + break; + case db2.nodeType.CLOUD: + cloudBkg(db2, bkgElem, node); + break; + case db2.nodeType.BANG: + bangBkg(db2, bkgElem, node); + break; + case db2.nodeType.HEXAGON: + hexagonBkg(db2, bkgElem, node); + break; + } + db2.setElementForId(node.id, nodeElem); + return node.height; +}; +const positionNode = function(db2, node) { + const nodeElem = db2.getElementById(node.id); + const x = node.x || 0; + const y = node.y || 0; + nodeElem.attr("transform", "translate(" + x + "," + y + ")"); +}; +cytoscape__WEBPACK_IMPORTED_MODULE_0__.use(cytoscape_cose_bilkent__WEBPACK_IMPORTED_MODULE_1__); +function drawNodes(db2, svg, mindmap, section, conf) { + drawNode(db2, svg, mindmap, section, conf); + if (mindmap.children) { + mindmap.children.forEach((child, index) => { + drawNodes(db2, svg, child, section < 0 ? index : section, conf); + }); + } +} +function drawEdges(edgesEl, cy) { + cy.edges().map((edge, id) => { + const data = edge.data(); + if (edge[0]._private.bodyBounds) { + const bounds = edge[0]._private.rscratch; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.trace("Edge: ", id, data); + edgesEl.insert("path").attr( + "d", + `M ${bounds.startX},${bounds.startY} L ${bounds.midX},${bounds.midY} L${bounds.endX},${bounds.endY} ` + ).attr("class", "edge section-edge-" + data.section + " edge-depth-" + data.depth); + } + }); +} +function addNodes(mindmap, cy, conf, level) { + cy.add({ + group: "nodes", + data: { + id: mindmap.id.toString(), + labelText: mindmap.descr, + height: mindmap.height, + width: mindmap.width, + level, + nodeId: mindmap.id, + padding: mindmap.padding, + type: mindmap.type + }, + position: { + x: mindmap.x, + y: mindmap.y + } + }); + if (mindmap.children) { + mindmap.children.forEach((child) => { + addNodes(child, cy, conf, level + 1); + cy.add({ + group: "edges", + data: { + id: `${mindmap.id}_${child.id}`, + source: mindmap.id, + target: child.id, + depth: level, + section: child.section + } + }); + }); + } +} +function layoutMindmap(node, conf) { + return new Promise((resolve) => { + const renderEl = (0,d3__WEBPACK_IMPORTED_MODULE_2__/* .select */ .MlD)("body").append("div").attr("id", "cy").attr("style", "display:none"); + const cy = cytoscape__WEBPACK_IMPORTED_MODULE_0__({ + container: document.getElementById("cy"), + // container to render in + style: [ + { + selector: "edge", + style: { + "curve-style": "bezier" + } + } + ] + }); + renderEl.remove(); + addNodes(node, cy, conf, 0); + cy.nodes().forEach(function(n) { + n.layoutDimensions = () => { + const data = n.data(); + return { w: data.width, h: data.height }; + }; + }); + cy.layout({ + name: "cose-bilkent", + // @ts-ignore Types for cose-bilkent are not correct? + quality: "proof", + styleEnabled: false, + animate: false + }).run(); + cy.ready((e) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Ready", e); + resolve(cy); + }); + }); +} +function positionNodes(db2, cy) { + cy.nodes().map((node, id) => { + const data = node.data(); + data.x = node.position().x; + data.y = node.position().y; + positionNode(db2, data); + const el = db2.getElementById(data.nodeId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Id:", id, "Position: (", node.position().x, ", ", node.position().y, ")", data); + el.attr( + "transform", + `translate(${node.position().x - data.width / 2}, ${node.position().y - data.height / 2})` + ); + el.attr("attr", `apa-${id})`); + }); +} +const draw = async (text, id, _version, diagObj) => { + var _a, _b; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Rendering mindmap diagram\n" + text); + const db2 = diagObj.db; + const mm = db2.getMindmap(); + if (!mm) { + return; + } + const conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)(); + conf.htmlLabels = false; + const svg = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.z)(id); + const edgesElem = svg.append("g"); + edgesElem.attr("class", "mindmap-edges"); + const nodesElem = svg.append("g"); + nodesElem.attr("class", "mindmap-nodes"); + drawNodes(db2, nodesElem, mm, -1, conf); + const cy = await layoutMindmap(mm, conf); + drawEdges(edgesElem, cy); + positionNodes(db2, cy); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.o)( + void 0, + svg, + ((_a = conf.mindmap) == null ? void 0 : _a.padding) ?? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.A.mindmap.padding, + ((_b = conf.mindmap) == null ? void 0 : _b.useMaxWidth) ?? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.A.mindmap.useMaxWidth 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${options["cScaleLabel" + i]}; + } + .section-edge-${i - 1}{ + stroke: ${options["cScale" + i]}; + } + .edge-depth-${i - 1}{ + stroke-width: ${sw}; + } + .section-${i - 1} line { + stroke: ${options["cScaleInv" + i]} ; + stroke-width: 3; + } + + .disabled, .disabled circle, .disabled text { + fill: lightgray; + } + .disabled text { + fill: #efefef; + } + `; + } + return sections; +}; +const getStyles = (options) => ` + .edge { + stroke-width: 3; + } + ${genSections(options)} + .section-root rect, .section-root path, .section-root circle, .section-root polygon { + fill: ${options.git0}; + } + .section-root text { + fill: ${options.gitBranchLabel0}; + } + .icon-container { + height:100%; + display: flex; + justify-content: center; + align-items: center; + } + .edge { + fill: none; + } + .mindmap-node-label { + dy: 1em; + alignment-baseline: middle; + text-anchor: middle; + dominant-baseline: middle; + text-align: center; + } +`; +const styles = getStyles; +const diagram = { + db: db$1, + 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const styles = getStyles; const drawRect = function(elem, rectData) { - return (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.d)(elem, rectData); + return (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.d)(elem, rectData); }; const drawFace = function(element, faceData) { const radius = 15; @@ -814,11 +814,11 @@ const drawFace = function(element, faceData) { face.append("circle").attr("cx", faceData.cx - radius / 3).attr("cy", faceData.cy - radius / 3).attr("r", 1.5).attr("stroke-width", 2).attr("fill", "#666").attr("stroke", "#666"); face.append("circle").attr("cx", faceData.cx + radius / 3).attr("cy", faceData.cy - radius / 3).attr("r", 1.5).attr("stroke-width", 2).attr("fill", "#666").attr("stroke", "#666"); function smile(face2) { - const arc$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .Nb1)().startAngle(Math.PI / 2).endAngle(3 * (Math.PI / 2)).innerRadius(radius / 2).outerRadius(radius / 2.2); + const arc$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .qoN)().startAngle(Math.PI / 2).endAngle(3 * (Math.PI / 2)).innerRadius(radius / 2).outerRadius(radius / 2.2); face2.append("path").attr("class", "mouth").attr("d", arc$1).attr("transform", "translate(" + faceData.cx + "," + (faceData.cy + 2) + ")"); } function sad(face2) { - const arc$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .Nb1)().startAngle(3 * Math.PI / 2).endAngle(5 * (Math.PI / 2)).innerRadius(radius / 2).outerRadius(radius / 2.2); + const arc$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .qoN)().startAngle(3 * Math.PI / 2).endAngle(5 * (Math.PI / 2)).innerRadius(radius / 2).outerRadius(radius / 2.2); face2.append("path").attr("class", "mouth").attr("d", arc$1).attr("transform", "translate(" + faceData.cx + "," + (faceData.cy + 7) + ")"); } function ambivalent(face2) { @@ -850,7 +850,7 @@ const drawCircle = function(element, circleData) { return circleElement; }; const drawText = function(elem, textData) { - return (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.f)(elem, textData); + return (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.f)(elem, textData); }; const drawLabel = function(elem, txtObject) { function genPoints(x, y, width, height, cut) { @@ -865,7 +865,7 @@ const drawLabel = function(elem, txtObject) { }; const drawSection = function(elem, section, conf2) { const g = elem.append("g"); - const rect = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.g)(); + const rect = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.g)(); rect.x = section.x; rect.y = section.y; rect.fill = section.fill; @@ -900,7 +900,7 @@ const drawTask = function(elem, task, conf2) { cy: 300 + (5 - task.score) * 30, score: task.score }); - const rect = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.g)(); + const rect = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.g)(); rect.x = task.x; rect.y = task.y; rect.fill = task.fill; @@ -938,7 +938,7 @@ const drawTask = function(elem, task, conf2) { ); }; const drawBackgroundRect = function(elem, bounds2) { - (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.a)(elem, bounds2); + (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.a)(elem, bounds2); }; const _drawTextCandidateFunc = function() { function byText(content, g, x, y, width, height, textAttrs, colour) { @@ -996,7 +996,7 @@ const setConf = function(cnf) { }; const actors = {}; function drawActorLegend(diagram2) { - const conf2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; + const conf2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; let yPos = 60; Object.keys(actors).forEach((person) => { const colour = actors[person].color; @@ -1020,16 +1020,16 @@ function drawActorLegend(diagram2) { yPos += 20; }); } -const conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; +const conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; const LEFT_MARGIN = conf.leftMargin; const draw = function(text, id, version, diagObj) { - const conf2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; - const securityLevel = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().securityLevel; + const conf2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; + const securityLevel = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); bounds.init(); const diagram2 = root.select("#" + id); svgDraw.initGraphics(diagram2); @@ -1056,7 +1056,7 @@ const draw = function(text, id, version, diagObj) { } const height = box.stopy - box.starty + 2 * conf2.diagramMarginY; const width = LEFT_MARGIN + box.stopx + 2 * conf2.diagramMarginX; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.i)(diagram2, height, width, conf2.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.i)(diagram2, height, width, conf2.useMaxWidth); diagram2.append("line").attr("x1", LEFT_MARGIN).attr("y1", conf2.height * 4).attr("x2", width - LEFT_MARGIN - 4).attr("y2", conf2.height * 4).attr("stroke-width", 4).attr("stroke", "black").attr("marker-end", "url(#arrowhead)"); const extraVertForTitle = title ? 70 : 0; diagram2.attr("viewBox", `${box.startx} -25 ${width} ${height + extraVertForTitle}`); @@ -1090,7 +1090,7 @@ const bounds = { } }, updateBounds: function(startx, starty, stopx, stopy) { - const conf2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; + const conf2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; const _self = this; let cnt = 0; function updateFn(type) { @@ -1136,7 +1136,7 @@ const bounds = { const fills = conf.sectionFills; const textColours = conf.sectionColours; const drawTasks = function(diagram2, tasks2, verticalPos) { - const conf2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; + const conf2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().journey; let lastSection = ""; const sectionVHeight = conf2.height * 2 + conf2.diagramMarginY; const taskPos = verticalPos + sectionVHeight; @@ -1208,7 +1208,7 @@ const diagram = { /***/ }), -/***/ 72015: +/***/ 30291: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -1220,8 +1220,8 @@ const diagram = { /* harmony export */ f: () => (/* binding */ drawText), /* harmony export */ g: () => (/* binding */ getNoteRect) /* harmony export */ }); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(17967); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(86208); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); const drawRect = (element, rectData) => { @@ -1256,7 +1256,7 @@ const drawBackgroundRect = (element, bounds) => { rectElement.lower(); }; const drawText = (element, textData) => { - const nText = textData.text.replace(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.H, " "); + const nText = textData.text.replace(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.G, " "); const textElem = element.append("text"); textElem.attr("x", textData.x); textElem.attr("y", textData.y); @@ -1272,14 +1272,14 @@ const drawImage = (elem, x, y, link) => { const imageElement = elem.append("image"); imageElement.attr("x", x); imageElement.attr("y", y); - const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .Nm)(link); + const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .oR)(link); imageElement.attr("xlink:href", sanitizedLink); }; const drawEmbeddedImage = (element, x, y, link) => { const imageElement = element.append("use"); imageElement.attr("x", x); imageElement.attr("y", y); - const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .Nm)(link); + const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .oR)(link); 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41:this.$=a[o-1]+""+a[o]}},table:[t(i,e,{3:1,4:2,7:4,5:s,34:n,35:a,36:h}),{1:[3]},t(i,e,{4:2,7:4,3:8,5:s,34:n,35:a,36:h}),t(i,e,{4:2,7:4,6:9,3:10,5:s,8:[1,11],34:n,35:a,36:h}),{1:[2,4],9:12,10:[1,13],12:[1,14],14:[1,15],16:[1,16],18:[1,17],19:[1,18],21:[1,19],23:[1,20]},t(o,[2,34]),t(o,[2,35]),t(o,[2,36]),{1:[2,1]},t(i,e,{4:2,7:4,3:21,5:s,34:n,35:a,36:h}),{1:[2,3]},t(o,[2,5]),t(i,[2,7],{4:22,34:n,35:a,36:h}),{11:23,37:24,38:r,39:l,40:27,41:c,42:g,43:u,44:x,45:d,46:p,47:f,48:y,49:m,50:b},{11:39,13:38,24:A,27:w,29:40,30:41,37:24,38:r,39:l,40:27,41:c,42:g,43:u,44:x,45:d,46:p,47:f,48:y,49:m,50:b},{11:45,15:44,27:S,33:46,37:24,38:r,39:l,40:27,41:c,42:g,43:u,44:x,45:d,46:p,47:f,48:y,49:m,50:b},{11:49,17:48,24:C,37:24,38:r,39:l,40:27,41:c,42:g,43:u,44:x,45:d,46:p,47:f,48:y,49:m,50:b},{11:52,17:51,24:C,37:24,38:r,39:l,40:27,41:c,42:g,43:u,44:x,45:d,46:p,47:f,48:y,49:m,50:b},{20:[1,53]},{22:[1,54]},t(k,[2,18]),{1:[2,2]},t(k,[2,8]),t(k,[2,9]),t(_,[2,37],{40:55,41:c,42:g,43:u,44:x,45:d,46:p,47:f,48:y,49:m,50:b}),t(_,[2,38]),t(_,[2,39]),t(T,[2,40]),t(T,[2,42]),t(T,[2,43]),t(T,[2,44]),t(T,[2,45]),t(T,[2,46]),t(T,[2,47]),t(T,[2,48]),t(T,[2,49]),t(T,[2,50]),t(T,[2,51]),t(k,[2,10]),t(k,[2,22],{30:41,29:56,24:A,27:w}),t(k,[2,24]),t(k,[2,25]),{31:[1,57]},{11:59,32:58,37:24,38:r,39:l,40:27,41:c,42:g,43:u,44:x,45:d,46:p,47:f,48:y,49:m,50:b},t(k,[2,11]),t(k,[2,30],{33:60,27:S}),t(k,[2,32]),{31:[1,61]},t(k,[2,12]),{17:62,24:C},{25:63,27:R},t(k,[2,14]),{17:65,24:C},t(k,[2,16]),t(k,[2,17]),t(T,[2,41]),t(k,[2,23]),{27:[1,66]},{26:[1,67]},{26:[2,29],28:[1,68]},t(k,[2,31]),{27:[1,69]},t(k,[2,13]),{26:[1,70]},{26:[2,21],28:[1,71]},t(k,[2,15]),t(k,[2,26]),t(k,[2,27]),{11:59,32:72,37:24,38:r,39:l,40:27,41:c,42:g,43:u,44:x,45:d,46:p,47:f,48:y,49:m,50:b},t(k,[2,33]),t(k,[2,19]),{25:73,27:R},{26:[2,28]},{26:[2,20]}],defaultActions:{8:[2,1],10:[2,3],21:[2,2],72:[2,28],73:[2,20]},parseError:function(t,i){if(!i.recoverable){var e=new Error(t);throw e.hash=i,e}this.trace(t)},parse:function(t){var i=this,e=[0],s=[],n=[null],a=[],h=this.table,o="",r=0,l=0,c=a.slice.call(arguments,1),g=Object.create(this.lexer),u={yy:{}};for(var x in this.yy)Object.prototype.hasOwnProperty.call(this.yy,x)&&(u.yy[x]=this.yy[x]);g.setInput(t,u.yy),u.yy.lexer=g,u.yy.parser=this,void 0===g.yylloc&&(g.yylloc={});var d=g.yylloc;a.push(d);var p=g.options&&g.options.ranges;"function"==typeof u.yy.parseError?this.parseError=u.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var f,y,m,b,A,w,S,C,k,_={};;){if(y=e[e.length-1],this.defaultActions[y]?m=this.defaultActions[y]:(null==f&&(k=void 0,"number"!=typeof(k=s.pop()||g.lex()||1)&&(k instanceof Array&&(k=(s=k).pop()),k=i.symbols_[k]||k),f=k),m=h[y]&&h[y][f]),void 0===m||!m.length||!m[0]){var T="";for(A in C=[],h[y])this.terminals_[A]&&A>2&&C.push("'"+this.terminals_[A]+"'");T=g.showPosition?"Parse error on line "+(r+1)+":\n"+g.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[f]||f)+"'":"Parse error on line "+(r+1)+": Unexpected "+(1==f?"end of input":"'"+(this.terminals_[f]||f)+"'"),this.parseError(T,{text:g.match,token:this.terminals_[f]||f,line:g.yylineno,loc:d,expected:C})}if(m[0]instanceof Array&&m.length>1)throw new Error("Parse Error: multiple actions possible at state: "+y+", token: "+f);switch(m[0]){case 1:e.push(f),n.push(g.yytext),a.push(g.yylloc),e.push(m[1]),f=null,l=g.yyleng,o=g.yytext,r=g.yylineno,d=g.yylloc;break;case 2:if(w=this.productions_[m[1]][1],_.$=n[n.length-w],_._$={first_line:a[a.length-(w||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(w||1)].first_column,last_column:a[a.length-1].last_column},p&&(_._$.range=[a[a.length-(w||1)].range[0],a[a.length-1].range[1]]),void 0!==(b=this.performAction.apply(_,[o,l,r,u.yy,m[1],n,a].concat(c))))return b;w&&(e=e.slice(0,-1*w*2),n=n.slice(0,-1*w),a=a.slice(0,-1*w)),e.push(this.productions_[m[1]][0]),n.push(_.$),a.push(_._$),S=h[e[e.length-2]][e[e.length-1]],e.push(S);break;case 3:return!0}}return!0}},L={EOF:1,parseError:function(t,i){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,i)},setInput:function(t,i){return this.yy=i||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var i=t.length,e=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-i),this.offset-=i;var s=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),e.length-1&&(this.yylineno-=e.length-1);var n=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:e?(e.length===s.length?this.yylloc.first_column:0)+s[s.length-e.length].length-e[0].length:this.yylloc.first_column-i},this.options.ranges&&(this.yylloc.range=[n[0],n[0]+this.yyleng-i]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),i=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+i+"^"},test_match:function(t,i){var e,s,n;if(this.options.backtrack_lexer&&(n={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(n.yylloc.range=this.yylloc.range.slice(0))),(s=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=s.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:s?s[s.length-1].length-s[s.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],e=this.performAction.call(this,this.yy,this,i,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),e)return e;if(this._backtrack){for(var a in n)this[a]=n[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,i,e,s;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var n=this._currentRules(),a=0;a<n.length;a++)if((e=this._input.match(this.rules[n[a]]))&&(!i||e[0].length>i[0].length)){if(i=e,s=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(e,n[a])))return t;if(this._backtrack){i=!1;continue}return!1}if(!this.options.flex)break}return i?!1!==(t=this.test_match(i,n[s]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,i,e,s){switch(e){case 0:case 1:case 5:case 43:break;case 2:case 3:return this.popState(),34;case 4:return 34;case 6:return 10;case 7:return this.pushState("acc_title"),19;case 8:return this.popState(),"acc_title_value";case 9:return this.pushState("acc_descr"),21;case 10:return this.popState(),"acc_descr_value";case 11:this.pushState("acc_descr_multiline");break;case 12:case 25:case 27:this.popState();break;case 13:return"acc_descr_multiline_value";case 14:return 5;case 15:return 8;case 16:return this.pushState("axis_data"),"X_AXIS";case 17:return this.pushState("axis_data"),"Y_AXIS";case 18:return this.pushState("axis_band_data"),24;case 19:return 31;case 20:return this.pushState("data"),16;case 21:return this.pushState("data"),18;case 22:return this.pushState("data_inner"),24;case 23:return 27;case 24:return this.popState(),26;case 26:this.pushState("string");break;case 28:return"STR";case 29:return 24;case 30:return 26;case 31:return 43;case 32:return"COLON";case 33:return 44;case 34:return 28;case 35:return 45;case 36:return 46;case 37:return 48;case 38:return 50;case 39:return 47;case 40:return 41;case 41:return 49;case 42:return 42;case 44:return 35;case 45:return 36}},rules:[/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:(\r?\n))/i,/^(?:(\r?\n))/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:\{)/i,/^(?:[^\}]*)/i,/^(?:xychart-beta\b)/i,/^(?:(?:vertical|horizontal))/i,/^(?:x-axis\b)/i,/^(?:y-axis\b)/i,/^(?:\[)/i,/^(?:-->)/i,/^(?:line\b)/i,/^(?:bar\b)/i,/^(?:\[)/i,/^(?:[+-]?(?:\d+(?:\.\d+)?|\.\d+))/i,/^(?:\])/i,/^(?:(?:`\) \{ this\.pushState\(md_string\); \}\n<md_string>\(\?:\(\?!`"\)\.\)\+ \{ return MD_STR; \}\n<md_string>\(\?:`))/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\[)/i,/^(?:\])/i,/^(?:[A-Za-z]+)/i,/^(?::)/i,/^(?:\+)/i,/^(?:,)/i,/^(?:=)/i,/^(?:\*)/i,/^(?:#)/i,/^(?:[\_])/i,/^(?:\.)/i,/^(?:&)/i,/^(?:-)/i,/^(?:[0-9]+)/i,/^(?:\s+)/i,/^(?:;)/i,/^(?:$)/i],conditions:{data_inner:{rules:[0,1,4,5,6,7,9,11,14,15,16,17,20,21,23,24,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0},data:{rules:[0,1,3,4,5,6,7,9,11,14,15,16,17,20,21,22,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0},axis_band_data:{rules:[0,1,4,5,6,7,9,11,14,15,16,17,20,21,24,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0},axis_data:{rules:[0,1,2,4,5,6,7,9,11,14,15,16,17,18,19,20,21,23,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0},acc_descr_multiline:{rules:[12,13],inclusive:!1},acc_descr:{rules:[10],inclusive:!1},acc_title:{rules:[8],inclusive:!1},title:{rules:[],inclusive:!1},md_string:{rules:[],inclusive:!1},string:{rules:[27,28],inclusive:!1},INITIAL:{rules:[0,1,4,5,6,7,9,11,14,15,16,17,20,21,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0}}};function P(){this.yy={}}return D.lexer=L,P.prototype=D,D.Parser=P,new P}());h.parser=h;const o=h;function r(t){return"bar"===t.type}function l(t){return"band"===t.type}function c(t){return"linear"===t.type}class g{constructor(t){this.parentGroup=t}getMaxDimension(t,i){if(!this.parentGroup)return{width:t.reduce(((t,i)=>Math.max(i.length,t)),0)*i,height:i};const e={width:0,height:0},s=this.parentGroup.append("g").attr("visibility","hidden").attr("font-size",i);for(const a of t){const t=(0,n.c)(s,1,a),h=t?t.width:a.length*i,o=t?t.height:i;e.width=Math.max(e.width,h),e.height=Math.max(e.height,o)}return s.remove(),e}}class u{constructor(t,i,e,s){this.axisConfig=t,this.title=i,this.textDimensionCalculator=e,this.axisThemeConfig=s,this.boundingRect={x:0,y:0,width:0,height:0},this.axisPosition="left",this.showTitle=!1,this.showLabel=!1,this.showTick=!1,this.showAxisLine=!1,this.outerPadding=0,this.titleTextHeight=0,this.labelTextHeight=0,this.range=[0,10],this.boundingRect={x:0,y:0,width:0,height:0},this.axisPosition="left"}setRange(t){this.range=t,"left"===this.axisPosition||"right"===this.axisPosition?this.boundingRect.height=t[1]-t[0]:this.boundingRect.width=t[1]-t[0],this.recalculateScale()}getRange(){return[this.range[0]+this.outerPadding,this.range[1]-this.outerPadding]}setAxisPosition(t){this.axisPosition=t,this.setRange(this.range)}getTickDistance(){const t=this.getRange();return Math.abs(t[0]-t[1])/this.getTickValues().length}getAxisOuterPadding(){return this.outerPadding}getLabelDimension(){return this.textDimensionCalculator.getMaxDimension(this.getTickValues().map((t=>t.toString())),this.axisConfig.labelFontSize)}recalculateOuterPaddingToDrawBar(){.7*this.getTickDistance()>2*this.outerPadding&&(this.outerPadding=Math.floor(.7*this.getTickDistance()/2)),this.recalculateScale()}calculateSpaceIfDrawnHorizontally(t){let i=t.height;if(this.axisConfig.showAxisLine&&i>this.axisConfig.axisLineWidth&&(i-=this.axisConfig.axisLineWidth,this.showAxisLine=!0),this.axisConfig.showLabel){const e=this.getLabelDimension(),s=.2*t.width;this.outerPadding=Math.min(e.width/2,s);const n=e.height+2*this.axisConfig.labelPadding;this.labelTextHeight=e.height,n<=i&&(i-=n,this.showLabel=!0)}if(this.axisConfig.showTick&&i>=this.axisConfig.tickLength&&(this.showTick=!0,i-=this.axisConfig.tickLength),this.axisConfig.showTitle&&this.title){const t=this.textDimensionCalculator.getMaxDimension([this.title],this.axisConfig.titleFontSize),e=t.height+2*this.axisConfig.titlePadding;this.titleTextHeight=t.height,e<=i&&(i-=e,this.showTitle=!0)}this.boundingRect.width=t.width,this.boundingRect.height=t.height-i}calculateSpaceIfDrawnVertical(t){let i=t.width;if(this.axisConfig.showAxisLine&&i>this.axisConfig.axisLineWidth&&(i-=this.axisConfig.axisLineWidth,this.showAxisLine=!0),this.axisConfig.showLabel){const e=this.getLabelDimension(),s=.2*t.height;this.outerPadding=Math.min(e.height/2,s);const n=e.width+2*this.axisConfig.labelPadding;n<=i&&(i-=n,this.showLabel=!0)}if(this.axisConfig.showTick&&i>=this.axisConfig.tickLength&&(this.showTick=!0,i-=this.axisConfig.tickLength),this.axisConfig.showTitle&&this.title){const t=this.textDimensionCalculator.getMaxDimension([this.title],this.axisConfig.titleFontSize),e=t.height+2*this.axisConfig.titlePadding;this.titleTextHeight=t.height,e<=i&&(i-=e,this.showTitle=!0)}this.boundingRect.width=t.width-i,this.boundingRect.height=t.height}calculateSpace(t){return"left"===this.axisPosition||"right"===this.axisPosition?this.calculateSpaceIfDrawnVertical(t):this.calculateSpaceIfDrawnHorizontally(t),this.recalculateScale(),{width:this.boundingRect.width,height:this.boundingRect.height}}setBoundingBoxXY(t){this.boundingRect.x=t.x,this.boundingRect.y=t.y}getDrawableElementsForLeftAxis(){const t=[];if(this.showAxisLine){const i=this.boundingRect.x+this.boundingRect.width-this.axisConfig.axisLineWidth/2;t.push({type:"path",groupTexts:["left-axis","axisl-line"],data:[{path:`M ${i},${this.boundingRect.y} L ${i},${this.boundingRect.y+this.boundingRect.height} `,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&t.push({type:"text",groupTexts:["left-axis","label"],data:this.getTickValues().map((t=>({text:t.toString(),x:this.boundingRect.x+this.boundingRect.width-(this.showLabel?this.axisConfig.labelPadding:0)-(this.showTick?this.axisConfig.tickLength:0)-(this.showAxisLine?this.axisConfig.axisLineWidth:0),y:this.getScaleValue(t),fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"middle",horizontalPos:"right"})))}),this.showTick){const i=this.boundingRect.x+this.boundingRect.width-(this.showAxisLine?this.axisConfig.axisLineWidth:0);t.push({type:"path",groupTexts:["left-axis","ticks"],data:this.getTickValues().map((t=>({path:`M ${i},${this.getScaleValue(t)} L ${i-this.axisConfig.tickLength},${this.getScaleValue(t)}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth})))})}return this.showTitle&&t.push({type:"text",groupTexts:["left-axis","title"],data:[{text:this.title,x:this.boundingRect.x+this.axisConfig.titlePadding,y:this.boundingRect.y+this.boundingRect.height/2,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:270,verticalPos:"top",horizontalPos:"center"}]}),t}getDrawableElementsForBottomAxis(){const t=[];if(this.showAxisLine){const i=this.boundingRect.y+this.axisConfig.axisLineWidth/2;t.push({type:"path",groupTexts:["bottom-axis","axis-line"],data:[{path:`M ${this.boundingRect.x},${i} L ${this.boundingRect.x+this.boundingRect.width},${i}`,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&t.push({type:"text",groupTexts:["bottom-axis","label"],data:this.getTickValues().map((t=>({text:t.toString(),x:this.getScaleValue(t),y:this.boundingRect.y+this.axisConfig.labelPadding+(this.showTick?this.axisConfig.tickLength:0)+(this.showAxisLine?this.axisConfig.axisLineWidth:0),fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"})))}),this.showTick){const i=this.boundingRect.y+(this.showAxisLine?this.axisConfig.axisLineWidth:0);t.push({type:"path",groupTexts:["bottom-axis","ticks"],data:this.getTickValues().map((t=>({path:`M ${this.getScaleValue(t)},${i} L ${this.getScaleValue(t)},${i+this.axisConfig.tickLength}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth})))})}return this.showTitle&&t.push({type:"text",groupTexts:["bottom-axis","title"],data:[{text:this.title,x:this.range[0]+(this.range[1]-this.range[0])/2,y:this.boundingRect.y+this.boundingRect.height-this.axisConfig.titlePadding-this.titleTextHeight,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}]}),t}getDrawableElementsForTopAxis(){const t=[];if(this.showAxisLine){const i=this.boundingRect.y+this.boundingRect.height-this.axisConfig.axisLineWidth/2;t.push({type:"path",groupTexts:["top-axis","axis-line"],data:[{path:`M ${this.boundingRect.x},${i} L ${this.boundingRect.x+this.boundingRect.width},${i}`,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&t.push({type:"text",groupTexts:["top-axis","label"],data:this.getTickValues().map((t=>({text:t.toString(),x:this.getScaleValue(t),y:this.boundingRect.y+(this.showTitle?this.titleTextHeight+2*this.axisConfig.titlePadding:0)+this.axisConfig.labelPadding,fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"})))}),this.showTick){const i=this.boundingRect.y;t.push({type:"path",groupTexts:["top-axis","ticks"],data:this.getTickValues().map((t=>({path:`M ${this.getScaleValue(t)},${i+this.boundingRect.height-(this.showAxisLine?this.axisConfig.axisLineWidth:0)} L ${this.getScaleValue(t)},${i+this.boundingRect.height-this.axisConfig.tickLength-(this.showAxisLine?this.axisConfig.axisLineWidth:0)}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth})))})}return this.showTitle&&t.push({type:"text",groupTexts:["top-axis","title"],data:[{text:this.title,x:this.boundingRect.x+this.boundingRect.width/2,y:this.boundingRect.y+this.axisConfig.titlePadding,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}]}),t}getDrawableElements(){if("left"===this.axisPosition)return this.getDrawableElementsForLeftAxis();if("right"===this.axisPosition)throw Error("Drawing of right axis is not implemented");return"bottom"===this.axisPosition?this.getDrawableElementsForBottomAxis():"top"===this.axisPosition?this.getDrawableElementsForTopAxis():[]}}class x extends u{constructor(t,i,e,s,n){super(t,s,n,i),this.categories=e,this.scale=(0,a.tiA)().domain(this.categories).range(this.getRange())}setRange(t){super.setRange(t)}recalculateScale(){this.scale=(0,a.tiA)().domain(this.categories).range(this.getRange()).paddingInner(1).paddingOuter(0).align(.5),s.l.trace("BandAxis axis final categories, range: ",this.categories,this.getRange())}getTickValues(){return this.categories}getScaleValue(t){return this.scale(t)||this.getRange()[0]}}class d extends u{constructor(t,i,e,s,n){super(t,s,n,i),this.domain=e,this.scale=(0,a.BYU)().domain(this.domain).range(this.getRange())}getTickValues(){return this.scale.ticks()}recalculateScale(){const t=[...this.domain];"left"===this.axisPosition&&t.reverse(),this.scale=(0,a.BYU)().domain(t).range(this.getRange())}getScaleValue(t){return this.scale(t)}}function p(t,i,e,s){const n=new g(s);return l(t)?new x(i,e,t.categories,t.title,n):new d(i,e,[t.min,t.max],t.title,n)}class 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this.showChartTitle&&t.push({groupTexts:["chart-title"],type:"text",data:[{fontSize:this.chartConfig.titleFontSize,text:this.chartData.title,verticalPos:"middle",horizontalPos:"center",x:this.boundingRect.x+this.boundingRect.width/2,y:this.boundingRect.y+this.boundingRect.height/2,fill:this.chartThemeConfig.titleColor,rotation:0}]}),t}}function y(t,i,e,s){const n=new g(s);return new f(n,t,i,e)}class m{constructor(t,i,e,s,n){this.plotData=t,this.xAxis=i,this.yAxis=e,this.orientation=s,this.plotIndex=n}getDrawableElement(){const t=this.plotData.data.map((t=>[this.xAxis.getScaleValue(t[0]),this.yAxis.getScaleValue(t[1])]));let i;return i="horizontal"===this.orientation?(0,a.jvg)().y((t=>t[0])).x((t=>t[1]))(t):(0,a.jvg)().x((t=>t[0])).y((t=>t[1]))(t),i?[{groupTexts:["plot",`line-plot-${this.plotIndex}`],type:"path",data:[{path:i,strokeFill:this.plotData.strokeFill,strokeWidth:this.plotData.strokeWidth}]}]:[]}}class b{constructor(t,i,e,s,n,a){this.barData=t,this.boundingRect=i,this.xAxis=e,this.yAxis=s,this.orientation=n,this.plotIndex=a}getDrawableElement(){const t=this.barData.data.map((t=>[this.xAxis.getScaleValue(t[0]),this.yAxis.getScaleValue(t[1])])),i=.95*Math.min(2*this.xAxis.getAxisOuterPadding(),this.xAxis.getTickDistance()),e=i/2;return"horizontal"===this.orientation?[{groupTexts:["plot",`bar-plot-${this.plotIndex}`],type:"rect",data:t.map((t=>({x:this.boundingRect.x,y:t[0]-e,height:i,width:t[1]-this.boundingRect.x,fill:this.barData.fill,strokeWidth:0,strokeFill:this.barData.fill})))}]:[{groupTexts:["plot",`bar-plot-${this.plotIndex}`],type:"rect",data:t.map((t=>({x:t[0]-e,y:t[1],width:i,height:this.boundingRect.y+this.boundingRect.height-t[1],fill:this.barData.fill,strokeWidth:0,strokeFill:this.barData.fill})))}]}}class A{constructor(t,i,e){this.chartConfig=t,this.chartData=i,this.chartThemeConfig=e,this.boundingRect={x:0,y:0,width:0,height:0}}setAxes(t,i){this.xAxis=t,this.yAxis=i}setBoundingBoxXY(t){this.boundingRect.x=t.x,this.boundingRect.y=t.y}calculateSpace(t){return this.boundingRect.width=t.width,this.boundingRect.height=t.height,{width:this.boundingRect.width,height:this.boundingRect.height}}getDrawableElements(){if(!this.xAxis||!this.yAxis)throw Error("Axes must be passed to render Plots");const t=[];for(const[i,e]of this.chartData.plots.entries())switch(e.type){case"line":{const s=new m(e,this.xAxis,this.yAxis,this.chartConfig.chartOrientation,i);t.push(...s.getDrawableElement())}break;case"bar":{const s=new b(e,this.boundingRect,this.xAxis,this.yAxis,this.chartConfig.chartOrientation,i);t.push(...s.getDrawableElement())}}return t}}function w(t,i,e){return new A(t,i,e)}class 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t=this.chartConfig.width,i=this.chartConfig.height,e=0,s=0,n=0,a=Math.floor(t*this.chartConfig.plotReservedSpacePercent/100),h=Math.floor(i*this.chartConfig.plotReservedSpacePercent/100),o=this.componentStore.plot.calculateSpace({width:a,height:h});t-=o.width,i-=o.height,o=this.componentStore.title.calculateSpace({width:this.chartConfig.width,height:i}),e=o.height,i-=o.height,this.componentStore.xAxis.setAxisPosition("left"),o=this.componentStore.xAxis.calculateSpace({width:t,height:i}),t-=o.width,s=o.width,this.componentStore.yAxis.setAxisPosition("top"),o=this.componentStore.yAxis.calculateSpace({width:t,height:i}),i-=o.height,n=e+o.height,t>0&&(a+=t,t=0),i>0&&(h+=i,i=0),this.componentStore.plot.calculateSpace({width:a,height:h}),this.componentStore.plot.setBoundingBoxXY({x:s,y:n}),this.componentStore.yAxis.setRange([s,s+a]),this.componentStore.yAxis.setBoundingBoxXY({x:s,y:e}),this.componentStore.xAxis.setRange([n,n+h]),this.componentStore.xAxis.setBoundingBoxXY({x:0,y:n}),this.chartData.plots.some((t=>r(t)))&&this.componentStore.xAxis.recalculateOuterPaddingToDrawBar()}calculateSpace(){"horizontal"===this.chartConfig.chartOrientation?this.calculateHorizonatalSpace():this.calculateVerticalSpace()}getDrawableElement(){this.calculateSpace();const 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P(){this.yy={}}return D.lexer=L,P.prototype=D,D.Parser=P,new P}());h.parser=h;const o=h;function r(t){return"bar"===t.type}function l(t){return"band"===t.type}function c(t){return"linear"===t.type}class g{constructor(t){this.parentGroup=t}getMaxDimension(t,i){if(!this.parentGroup)return{width:t.reduce(((t,i)=>Math.max(i.length,t)),0)*i,height:i};const e={width:0,height:0},s=this.parentGroup.append("g").attr("visibility","hidden").attr("font-size",i);for(const a of t){const t=(0,n.c)(s,1,a),h=t?t.width:a.length*i,o=t?t.height:i;e.width=Math.max(e.width,h),e.height=Math.max(e.height,o)}return s.remove(),e}}class u{constructor(t,i,e,s){this.axisConfig=t,this.title=i,this.textDimensionCalculator=e,this.axisThemeConfig=s,this.boundingRect={x:0,y:0,width:0,height:0},this.axisPosition="left",this.showTitle=!1,this.showLabel=!1,this.showTick=!1,this.showAxisLine=!1,this.outerPadding=0,this.titleTextHeight=0,this.labelTextHeight=0,this.range=[0,10],this.boundingRect={x:0,y:0,width:0,height:0},this.axisPosition="left"}setRange(t){this.range=t,"left"===this.axisPosition||"right"===this.axisPosition?this.boundingRect.height=t[1]-t[0]:this.boundingRect.width=t[1]-t[0],this.recalculateScale()}getRange(){return[this.range[0]+this.outerPadding,this.range[1]-this.outerPadding]}setAxisPosition(t){this.axisPosition=t,this.setRange(this.range)}getTickDistance(){const t=this.getRange();return Math.abs(t[0]-t[1])/this.getTickValues().length}getAxisOuterPadding(){return this.outerPadding}getLabelDimension(){return this.textDimensionCalculator.getMaxDimension(this.getTickValues().map((t=>t.toString())),this.axisConfig.labelFontSize)}recalculateOuterPaddingToDrawBar(){.7*this.getTickDistance()>2*this.outerPadding&&(this.outerPadding=Math.floor(.7*this.getTickDistance()/2)),this.recalculateScale()}calculateSpaceIfDrawnHorizontally(t){let i=t.height;if(this.axisConfig.showAxisLine&&i>this.axisConfig.axisLineWidth&&(i-=this.axisConfig.axisLineWidth,this.showAxisLine=!0),this.axisConfig.showLabel){const e=this.getLabelDimension(),s=.2*t.width;this.outerPadding=Math.min(e.width/2,s);const n=e.height+2*this.axisConfig.labelPadding;this.labelTextHeight=e.height,n<=i&&(i-=n,this.showLabel=!0)}if(this.axisConfig.showTick&&i>=this.axisConfig.tickLength&&(this.showTick=!0,i-=this.axisConfig.tickLength),this.axisConfig.showTitle&&this.title){const t=this.textDimensionCalculator.getMaxDimension([this.title],this.axisConfig.titleFontSize),e=t.height+2*this.axisConfig.titlePadding;this.titleTextHeight=t.height,e<=i&&(i-=e,this.showTitle=!0)}this.boundingRect.width=t.width,this.boundingRect.height=t.height-i}calculateSpaceIfDrawnVertical(t){let i=t.width;if(this.axisConfig.showAxisLine&&i>this.axisConfig.axisLineWidth&&(i-=this.axisConfig.axisLineWidth,this.showAxisLine=!0),this.axisConfig.showLabel){const e=this.getLabelDimension(),s=.2*t.height;this.outerPadding=Math.min(e.height/2,s);const n=e.width+2*this.axisConfig.labelPadding;n<=i&&(i-=n,this.showLabel=!0)}if(this.axisConfig.showTick&&i>=this.axisConfig.tickLength&&(this.showTick=!0,i-=this.axisConfig.tickLength),this.axisConfig.showTitle&&this.title){const t=this.textDimensionCalculator.getMaxDimension([this.title],this.axisConfig.titleFontSize),e=t.height+2*this.axisConfig.titlePadding;this.titleTextHeight=t.height,e<=i&&(i-=e,this.showTitle=!0)}this.boundingRect.width=t.width-i,this.boundingRect.height=t.height}calculateSpace(t){return"left"===this.axisPosition||"right"===this.axisPosition?this.calculateSpaceIfDrawnVertical(t):this.calculateSpaceIfDrawnHorizontally(t),this.recalculateScale(),{width:this.boundingRect.width,height:this.boundingRect.height}}setBoundingBoxXY(t){this.boundingRect.x=t.x,this.boundingRect.y=t.y}getDrawableElementsForLeftAxis(){const t=[];if(this.showAxisLine){const i=this.boundingRect.x+this.boundingRect.width-this.axisConfig.axisLineWidth/2;t.push({type:"path",groupTexts:["left-axis","axisl-line"],data:[{path:`M ${i},${this.boundingRect.y} L ${i},${this.boundingRect.y+this.boundingRect.height} `,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&t.push({type:"text",groupTexts:["left-axis","label"],data:this.getTickValues().map((t=>({text:t.toString(),x:this.boundingRect.x+this.boundingRect.width-(this.showLabel?this.axisConfig.labelPadding:0)-(this.showTick?this.axisConfig.tickLength:0)-(this.showAxisLine?this.axisConfig.axisLineWidth:0),y:this.getScaleValue(t),fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"middle",horizontalPos:"right"})))}),this.showTick){const i=this.boundingRect.x+this.boundingRect.width-(this.showAxisLine?this.axisConfig.axisLineWidth:0);t.push({type:"path",groupTexts:["left-axis","ticks"],data:this.getTickValues().map((t=>({path:`M ${i},${this.getScaleValue(t)} L ${i-this.axisConfig.tickLength},${this.getScaleValue(t)}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth})))})}return this.showTitle&&t.push({type:"text",groupTexts:["left-axis","title"],data:[{text:this.title,x:this.boundingRect.x+this.axisConfig.titlePadding,y:this.boundingRect.y+this.boundingRect.height/2,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:270,verticalPos:"top",horizontalPos:"center"}]}),t}getDrawableElementsForBottomAxis(){const t=[];if(this.showAxisLine){const i=this.boundingRect.y+this.axisConfig.axisLineWidth/2;t.push({type:"path",groupTexts:["bottom-axis","axis-line"],data:[{path:`M ${this.boundingRect.x},${i} L ${this.boundingRect.x+this.boundingRect.width},${i}`,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&t.push({type:"text",groupTexts:["bottom-axis","label"],data:this.getTickValues().map((t=>({text:t.toString(),x:this.getScaleValue(t),y:this.boundingRect.y+this.axisConfig.labelPadding+(this.showTick?this.axisConfig.tickLength:0)+(this.showAxisLine?this.axisConfig.axisLineWidth:0),fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"})))}),this.showTick){const i=this.boundingRect.y+(this.showAxisLine?this.axisConfig.axisLineWidth:0);t.push({type:"path",groupTexts:["bottom-axis","ticks"],data:this.getTickValues().map((t=>({path:`M ${this.getScaleValue(t)},${i} L ${this.getScaleValue(t)},${i+this.axisConfig.tickLength}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth})))})}return this.showTitle&&t.push({type:"text",groupTexts:["bottom-axis","title"],data:[{text:this.title,x:this.range[0]+(this.range[1]-this.range[0])/2,y:this.boundingRect.y+this.boundingRect.height-this.axisConfig.titlePadding-this.titleTextHeight,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}]}),t}getDrawableElementsForTopAxis(){const t=[];if(this.showAxisLine){const i=this.boundingRect.y+this.boundingRect.height-this.axisConfig.axisLineWidth/2;t.push({type:"path",groupTexts:["top-axis","axis-line"],data:[{path:`M ${this.boundingRect.x},${i} L ${this.boundingRect.x+this.boundingRect.width},${i}`,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&t.push({type:"text",groupTexts:["top-axis","label"],data:this.getTickValues().map((t=>({text:t.toString(),x:this.getScaleValue(t),y:this.boundingRect.y+(this.showTitle?this.titleTextHeight+2*this.axisConfig.titlePadding:0)+this.axisConfig.labelPadding,fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"})))}),this.showTick){const i=this.boundingRect.y;t.push({type:"path",groupTexts:["top-axis","ticks"],data:this.getTickValues().map((t=>({path:`M ${this.getScaleValue(t)},${i+this.boundingRect.height-(this.showAxisLine?this.axisConfig.axisLineWidth:0)} L ${this.getScaleValue(t)},${i+this.boundingRect.height-this.axisConfig.tickLength-(this.showAxisLine?this.axisConfig.axisLineWidth:0)}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth})))})}return this.showTitle&&t.push({type:"text",groupTexts:["top-axis","title"],data:[{text:this.title,x:this.boundingRect.x+this.boundingRect.width/2,y:this.boundingRect.y+this.axisConfig.titlePadding,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}]}),t}getDrawableElements(){if("left"===this.axisPosition)return this.getDrawableElementsForLeftAxis();if("right"===this.axisPosition)throw Error("Drawing of right axis is not implemented");return"bottom"===this.axisPosition?this.getDrawableElementsForBottomAxis():"top"===this.axisPosition?this.getDrawableElementsForTopAxis():[]}}class x extends u{constructor(t,i,e,s,n){super(t,s,n,i),this.categories=e,this.scale=(0,a.iEe)().domain(this.categories).range(this.getRange())}setRange(t){super.setRange(t)}recalculateScale(){this.scale=(0,a.iEe)().domain(this.categories).range(this.getRange()).paddingInner(1).paddingOuter(0).align(.5),s.l.trace("BandAxis axis final categories, range: ",this.categories,this.getRange())}getTickValues(){return this.categories}getScaleValue(t){return this.scale(t)||this.getRange()[0]}}class d extends u{constructor(t,i,e,s,n){super(t,s,n,i),this.domain=e,this.scale=(0,a.M89)().domain(this.domain).range(this.getRange())}getTickValues(){return this.scale.ticks()}recalculateScale(){const t=[...this.domain];"left"===this.axisPosition&&t.reverse(),this.scale=(0,a.M89)().domain(t).range(this.getRange())}getScaleValue(t){return this.scale(t)}}function p(t,i,e,s){const n=new g(s);return l(t)?new x(i,e,t.categories,t.title,n):new d(i,e,[t.min,t.max],t.title,n)}class f{constructor(t,i,e,s){this.textDimensionCalculator=t,this.chartConfig=i,this.chartData=e,this.chartThemeConfig=s,this.boundingRect={x:0,y:0,width:0,height:0},this.showChartTitle=!1}setBoundingBoxXY(t){this.boundingRect.x=t.x,this.boundingRect.y=t.y}calculateSpace(t){const i=this.textDimensionCalculator.getMaxDimension([this.chartData.title],this.chartConfig.titleFontSize),e=Math.max(i.width,t.width),s=i.height+2*this.chartConfig.titlePadding;return i.width<=e&&i.height<=s&&this.chartConfig.showTitle&&this.chartData.title&&(this.boundingRect.width=e,this.boundingRect.height=s,this.showChartTitle=!0),{width:this.boundingRect.width,height:this.boundingRect.height}}getDrawableElements(){const t=[];return this.showChartTitle&&t.push({groupTexts:["chart-title"],type:"text",data:[{fontSize:this.chartConfig.titleFontSize,text:this.chartData.title,verticalPos:"middle",horizontalPos:"center",x:this.boundingRect.x+this.boundingRect.width/2,y:this.boundingRect.y+this.boundingRect.height/2,fill:this.chartThemeConfig.titleColor,rotation:0}]}),t}}function y(t,i,e,s){const n=new g(s);return new f(n,t,i,e)}class m{constructor(t,i,e,s,n){this.plotData=t,this.xAxis=i,this.yAxis=e,this.orientation=s,this.plotIndex=n}getDrawableElement(){const t=this.plotData.data.map((t=>[this.xAxis.getScaleValue(t[0]),this.yAxis.getScaleValue(t[1])]));let i;return i="horizontal"===this.orientation?(0,a.cFK)().y((t=>t[0])).x((t=>t[1]))(t):(0,a.cFK)().x((t=>t[0])).y((t=>t[1]))(t),i?[{groupTexts:["plot",`line-plot-${this.plotIndex}`],type:"path",data:[{path:i,strokeFill:this.plotData.strokeFill,strokeWidth:this.plotData.strokeWidth}]}]:[]}}class b{constructor(t,i,e,s,n,a){this.barData=t,this.boundingRect=i,this.xAxis=e,this.yAxis=s,this.orientation=n,this.plotIndex=a}getDrawableElement(){const t=this.barData.data.map((t=>[this.xAxis.getScaleValue(t[0]),this.yAxis.getScaleValue(t[1])])),i=.95*Math.min(2*this.xAxis.getAxisOuterPadding(),this.xAxis.getTickDistance()),e=i/2;return"horizontal"===this.orientation?[{groupTexts:["plot",`bar-plot-${this.plotIndex}`],type:"rect",data:t.map((t=>({x:this.boundingRect.x,y:t[0]-e,height:i,width:t[1]-this.boundingRect.x,fill:this.barData.fill,strokeWidth:0,strokeFill:this.barData.fill})))}]:[{groupTexts:["plot",`bar-plot-${this.plotIndex}`],type:"rect",data:t.map((t=>({x:t[0]-e,y:t[1],width:i,height:this.boundingRect.y+this.boundingRect.height-t[1],fill:this.barData.fill,strokeWidth:0,strokeFill:this.barData.fill})))}]}}class A{constructor(t,i,e){this.chartConfig=t,this.chartData=i,this.chartThemeConfig=e,this.boundingRect={x:0,y:0,width:0,height:0}}setAxes(t,i){this.xAxis=t,this.yAxis=i}setBoundingBoxXY(t){this.boundingRect.x=t.x,this.boundingRect.y=t.y}calculateSpace(t){return this.boundingRect.width=t.width,this.boundingRect.height=t.height,{width:this.boundingRect.width,height:this.boundingRect.height}}getDrawableElements(){if(!this.xAxis||!this.yAxis)throw Error("Axes must be passed to render Plots");const t=[];for(const[i,e]of this.chartData.plots.entries())switch(e.type){case"line":{const s=new m(e,this.xAxis,this.yAxis,this.chartConfig.chartOrientation,i);t.push(...s.getDrawableElement())}break;case"bar":{const s=new b(e,this.boundingRect,this.xAxis,this.yAxis,this.chartConfig.chartOrientation,i);t.push(...s.getDrawableElement())}}return t}}function w(t,i,e){return new A(t,i,e)}class S{constructor(t,i,e,s){this.chartConfig=t,this.chartData=i,this.componentStore={title:y(t,i,e,s),plot:w(t,i,e),xAxis:p(i.xAxis,t.xAxis,{titleColor:e.xAxisTitleColor,labelColor:e.xAxisLabelColor,tickColor:e.xAxisTickColor,axisLineColor:e.xAxisLineColor},s),yAxis:p(i.yAxis,t.yAxis,{titleColor:e.yAxisTitleColor,labelColor:e.yAxisLabelColor,tickColor:e.yAxisTickColor,axisLineColor:e.yAxisLineColor},s)}}calculateVerticalSpace(){let t=this.chartConfig.width,i=this.chartConfig.height,e=0,s=0,n=Math.floor(t*this.chartConfig.plotReservedSpacePercent/100),a=Math.floor(i*this.chartConfig.plotReservedSpacePercent/100),h=this.componentStore.plot.calculateSpace({width:n,height:a});t-=h.width,i-=h.height,h=this.componentStore.title.calculateSpace({width:this.chartConfig.width,height:i}),s=h.height,i-=h.height,this.componentStore.xAxis.setAxisPosition("bottom"),h=this.componentStore.xAxis.calculateSpace({width:t,height:i}),i-=h.height,this.componentStore.yAxis.setAxisPosition("left"),h=this.componentStore.yAxis.calculateSpace({width:t,height:i}),e=h.width,t-=h.width,t>0&&(n+=t,t=0),i>0&&(a+=i,i=0),this.componentStore.plot.calculateSpace({width:n,height:a}),this.componentStore.plot.setBoundingBoxXY({x:e,y:s}),this.componentStore.xAxis.setRange([e,e+n]),this.componentStore.xAxis.setBoundingBoxXY({x:e,y:s+a}),this.componentStore.yAxis.setRange([s,s+a]),this.componentStore.yAxis.setBoundingBoxXY({x:0,y:s}),this.chartData.plots.some((t=>r(t)))&&this.componentStore.xAxis.recalculateOuterPaddingToDrawBar()}calculateHorizonatalSpace(){let t=this.chartConfig.width,i=this.chartConfig.height,e=0,s=0,n=0,a=Math.floor(t*this.chartConfig.plotReservedSpacePercent/100),h=Math.floor(i*this.chartConfig.plotReservedSpacePercent/100),o=this.componentStore.plot.calculateSpace({width:a,height:h});t-=o.width,i-=o.height,o=this.componentStore.title.calculateSpace({width:this.chartConfig.width,height:i}),e=o.height,i-=o.height,this.componentStore.xAxis.setAxisPosition("left"),o=this.componentStore.xAxis.calculateSpace({width:t,height:i}),t-=o.width,s=o.width,this.componentStore.yAxis.setAxisPosition("top"),o=this.componentStore.yAxis.calculateSpace({width:t,height:i}),i-=o.height,n=e+o.height,t>0&&(a+=t,t=0),i>0&&(h+=i,i=0),this.componentStore.plot.calculateSpace({width:a,height:h}),this.componentStore.plot.setBoundingBoxXY({x:s,y:n}),this.componentStore.yAxis.setRange([s,s+a]),this.componentStore.yAxis.setBoundingBoxXY({x:s,y:e}),this.componentStore.xAxis.setRange([n,n+h]),this.componentStore.xAxis.setBoundingBoxXY({x:0,y:n}),this.chartData.plots.some((t=>r(t)))&&this.componentStore.xAxis.recalculateOuterPaddingToDrawBar()}calculateSpace(){"horizontal"===this.chartConfig.chartOrientation?this.calculateHorizonatalSpace():this.calculateVerticalSpace()}getDrawableElement(){this.calculateSpace();const t=[];this.componentStore.plot.setAxes(this.componentStore.xAxis,this.componentStore.yAxis);for(const i of Object.values(this.componentStore))t.push(...i.getDrawableElements());return t}}class C{static build(t,i,e,s){return new S(t,i,e,s).getDrawableElement()}}let k,_=0,T=M(),R=v(),D=I(),L=R.plotColorPalette.split(",").map((t=>t.trim())),P=!1,E=!1;function v(){const t=(0,s.D)(),i=(0,s.E)();return(0,s.B)(t.xyChart,i.themeVariables.xyChart)}function M(){const t=(0,s.E)();return(0,s.B)(s.A.xyChart,t.xyChart)}function I(){return{yAxis:{type:"linear",title:"",min:1/0,max:-1/0},xAxis:{type:"band",title:"",categories:[]},title:"",plots:[]}}function $(t){const i=(0,s.E)();return(0,s.d)(t.trim(),i)}function z(t,i){D.xAxis={type:"linear",title:D.xAxis.title,min:t,max:i},P=!0}function B(t){let i=[];if(0===t.length)return i;if(!P){const i=c(D.xAxis)?D.xAxis.min:1/0,e=c(D.xAxis)?D.xAxis.max:-1/0;z(Math.min(i,1),Math.max(e,t.length))}if(E||function(t){const i=Math.min(...t),e=Math.max(...t),s=c(D.yAxis)?D.yAxis.min:1/0,n=c(D.yAxis)?D.yAxis.max:-1/0;D.yAxis={type:"linear",title:D.yAxis.title,min:Math.min(s,i),max:Math.max(n,e)}}(t),l(D.xAxis)&&(i=D.xAxis.categories.map(((i,e)=>[i,t[e]]))),c(D.xAxis)){const e=D.xAxis.min,s=D.xAxis.max,n=(s-e+1)/t.length,a=[];for(let t=e;t<=s;t+=n)a.push(`${t}`);i=a.map(((i,e)=>[i,t[e]]))}return i}function W(t){return L[0===t?0:t%L.length]}const F={parser:o,db:{getDrawableElem:function(){if(0===D.plots.length)throw Error("No Plot to render, please provide a plot with some data");return D.title=(0,s.r)(),C.build(T,D,R,k)},clear:function(){(0,s.t)(),_=0,T=M(),D={yAxis:{type:"linear",title:"",min:1/0,max:-1/0},xAxis:{type:"band",title:"",categories:[]},title:"",plots:[]},R=v(),L=R.plotColorPalette.split(",").map((t=>t.trim())),P=!1,E=!1},setAccTitle:s.s,getAccTitle:s.g,setDiagramTitle:s.q,getDiagramTitle:s.r,getAccDescription:s.a,setAccDescription:s.b,setOrientation:function(t){T.chartOrientation="horizontal"===t?"horizontal":"vertical"},setXAxisTitle:function(t){D.xAxis.title=$(t.text)},setXAxisRangeData:z,setXAxisBand:function(t){D.xAxis={type:"band",title:D.xAxis.title,categories:t.map((t=>$(t.text)))},P=!0},setYAxisTitle:function(t){D.yAxis.title=$(t.text)},setYAxisRangeData:function(t,i){D.yAxis={type:"linear",title:D.yAxis.title,min:t,max:i},E=!0},setLineData:function(t,i){const e=B(i);D.plots.push({type:"line",strokeFill:W(_),strokeWidth:2,data:e}),_++},setBarData:function(t,i){const 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6}},rules:[/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:[\s]+)/i,/^(?:"[^"%\r\n\v\b\\]+")/i,/^(?:"[^"]*")/i,/^(?:erDiagram\b)/i,/^(?:\{)/i,/^(?:,)/i,/^(?:\s+)/i,/^(?:\b((?:PK)|(?:FK)|(?:UK))\b)/i,/^(?:(.*?)[~](.*?)*[~])/i,/^(?:[\*A-Za-z_][A-Za-z0-9\-_\[\]\(\)]*)/i,/^(?:"[^"]*")/i,/^(?:[\n]+)/i,/^(?:\})/i,/^(?:.)/i,/^(?:\[)/i,/^(?:\])/i,/^(?:one or zero\b)/i,/^(?:one or more\b)/i,/^(?:one or many\b)/i,/^(?:1\+)/i,/^(?:\|o\b)/i,/^(?:zero or one\b)/i,/^(?:zero or more\b)/i,/^(?:zero or many\b)/i,/^(?:0\+)/i,/^(?:\}o\b)/i,/^(?:many\(0\))/i,/^(?:many\(1\))/i,/^(?:many\b)/i,/^(?:\}\|)/i,/^(?:one\b)/i,/^(?:only one\b)/i,/^(?:1\b)/i,/^(?:\|\|)/i,/^(?:o\|)/i,/^(?:o\{)/i,/^(?:\|\{)/i,/^(?:\s*u\b)/i,/^(?:\.\.)/i,/^(?:--)/i,/^(?:to\b)/i,/^(?:optionally 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9,18"),r=t.append("defs").append("marker").attr("id",b.ZERO_OR_MORE_START).attr("refX",18).attr("refY",18).attr("markerWidth",57).attr("markerHeight",36).attr("orient","auto"),r.append("circle").attr("stroke",e.stroke).attr("fill","white").attr("cx",48).attr("cy",18).attr("r",6),r.append("path").attr("stroke",e.stroke).attr("fill","none").attr("d","M0,18 Q18,0 36,18 Q18,36 0,18"),r=t.append("defs").append("marker").attr("id",b.ZERO_OR_MORE_END).attr("refX",39).attr("refY",18).attr("markerWidth",57).attr("markerHeight",36).attr("orient","auto"),r.append("circle").attr("stroke",e.stroke).attr("fill","white").attr("cx",9).attr("cy",18).attr("r",6),r.append("path").attr("stroke",e.stroke).attr("fill","none").attr("d","M21,18 Q39,0 57,18 Q39,36 21,18")},N=/[^\dA-Za-z](\W)*/g;let T={},x=new Map;const A=function(t,e,r){let a;return Object.keys(e).forEach((function(n){const s=function(t="",e=""){const r=t.replace(N,"");return`${v(e)}${v(r)}${p(t,I)}`}(n,"entity");x.set(n,s);const 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h="";switch(T.arrowMarkerAbsolute&&(h=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,h=h.replace(/\(/g,"\\("),h=h.replace(/\)/g,"\\)")),e.relSpec.cardA){case s.db.Cardinality.ZERO_OR_ONE:l.attr("marker-end","url("+h+"#"+k.ZERO_OR_ONE_END+")");break;case s.db.Cardinality.ZERO_OR_MORE:l.attr("marker-end","url("+h+"#"+k.ZERO_OR_MORE_END+")");break;case s.db.Cardinality.ONE_OR_MORE:l.attr("marker-end","url("+h+"#"+k.ONE_OR_MORE_END+")");break;case s.db.Cardinality.ONLY_ONE:l.attr("marker-end","url("+h+"#"+k.ONLY_ONE_END+")");break;case s.db.Cardinality.MD_PARENT:l.attr("marker-end","url("+h+"#"+k.MD_PARENT_END+")")}switch(e.relSpec.cardB){case s.db.Cardinality.ZERO_OR_ONE:l.attr("marker-start","url("+h+"#"+k.ZERO_OR_ONE_START+")");break;case s.db.Cardinality.ZERO_OR_MORE:l.attr("marker-start","url("+h+"#"+k.ZERO_OR_MORE_START+")");break;case 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m=h.node().getBBox(),E=m.width+2*f,g=m.height+2*f;(0,i.i)(h,g,E,T.useMaxWidth),h.attr("viewBox",`${m.x-f} ${m.y-f} ${E} ${g}`)}},styles:t=>`\n .entityBox {\n fill: ${t.mainBkg};\n stroke: ${t.nodeBorder};\n }\n\n .attributeBoxOdd {\n fill: ${t.attributeBackgroundColorOdd};\n stroke: ${t.nodeBorder};\n }\n\n .attributeBoxEven {\n fill: ${t.attributeBackgroundColorEven};\n stroke: ${t.nodeBorder};\n }\n\n .relationshipLabelBox {\n fill: ${t.tertiaryColor};\n opacity: 0.7;\n background-color: ${t.tertiaryColor};\n rect {\n opacity: 0.5;\n }\n }\n\n .relationshipLine {\n stroke: ${t.lineColor};\n }\n\n .entityTitleText {\n text-anchor: middle;\n font-size: 18px;\n fill: ${t.textColor};\n } \n #MD_PARENT_START {\n fill: #f5f5f5 !important;\n stroke: ${t.lineColor} !important;\n stroke-width: 1;\n }\n #MD_PARENT_END {\n fill: #f5f5f5 !important;\n stroke: ${t.lineColor} !important;\n stroke-width: 1;\n }\n \n`}}}]); \ No newline at end of file +"use 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e=0;e<16;++e)t[e]=n[s][e];for(let e=16;e<80;++e)t[e]=u(t[e-3]^t[e-8]^t[e-14]^t[e-16],1);let i=r[0],a=r[1],o=r[2],c=r[3],l=r[4];for(let r=0;r<80;++r){const n=Math.floor(r/20),s=u(i,5)+y(n,a,o,c)+l+e[n]+t[r]>>>0;l=c,c=o,o=u(a,30)>>>0,a=i,i=s}r[0]=r[0]+i>>>0,r[1]=r[1]+a>>>0,r[2]=r[2]+o>>>0,r[3]=r[3]+c>>>0,r[4]=r[4]+l>>>0}return[r[0]>>24&255,r[0]>>16&255,r[0]>>8&255,255&r[0],r[1]>>24&255,r[1]>>16&255,r[1]>>8&255,255&r[1],r[2]>>24&255,r[2]>>16&255,r[2]>>8&255,255&r[2],r[3]>>24&255,r[3]>>16&255,r[3]>>8&255,255&r[3],r[4]>>24&255,r[4]>>16&255,r[4]>>8&255,255&r[4]]}));r(62264),r(86208),r(24300);var _=function(){var t=function(t,e,r,i){for(r=r||{},i=t.length;i--;r[t[i]]=e);return 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9,18"),r=t.append("defs").append("marker").attr("id",b.ZERO_OR_MORE_START).attr("refX",18).attr("refY",18).attr("markerWidth",57).attr("markerHeight",36).attr("orient","auto"),r.append("circle").attr("stroke",e.stroke).attr("fill","white").attr("cx",48).attr("cy",18).attr("r",6),r.append("path").attr("stroke",e.stroke).attr("fill","none").attr("d","M0,18 Q18,0 36,18 Q18,36 0,18"),r=t.append("defs").append("marker").attr("id",b.ZERO_OR_MORE_END).attr("refX",39).attr("refY",18).attr("markerWidth",57).attr("markerHeight",36).attr("orient","auto"),r.append("circle").attr("stroke",e.stroke).attr("fill","white").attr("cx",9).attr("cy",18).attr("r",6),r.append("path").attr("stroke",e.stroke).attr("fill","none").attr("d","M21,18 Q39,0 57,18 Q39,36 21,18")},N=/[^\dA-Za-z](\W)*/g;let T={},x=new Map;const A=function(t,e,r){let a;return Object.keys(e).forEach((function(n){const s=function(t="",e=""){const r=t.replace(N,"");return`${D(e)}${D(r)}${p(t,I)}`}(n,"entity");x.set(n,s);const 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h="";switch(T.arrowMarkerAbsolute&&(h=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,h=h.replace(/\(/g,"\\("),h=h.replace(/\)/g,"\\)")),e.relSpec.cardA){case s.db.Cardinality.ZERO_OR_ONE:l.attr("marker-end","url("+h+"#"+k.ZERO_OR_ONE_END+")");break;case s.db.Cardinality.ZERO_OR_MORE:l.attr("marker-end","url("+h+"#"+k.ZERO_OR_MORE_END+")");break;case s.db.Cardinality.ONE_OR_MORE:l.attr("marker-end","url("+h+"#"+k.ONE_OR_MORE_END+")");break;case s.db.Cardinality.ONLY_ONE:l.attr("marker-end","url("+h+"#"+k.ONLY_ONE_END+")");break;case s.db.Cardinality.MD_PARENT:l.attr("marker-end","url("+h+"#"+k.MD_PARENT_END+")")}switch(e.relSpec.cardB){case s.db.Cardinality.ZERO_OR_ONE:l.attr("marker-start","url("+h+"#"+k.ZERO_OR_ONE_START+")");break;case s.db.Cardinality.ZERO_OR_MORE:l.attr("marker-start","url("+h+"#"+k.ZERO_OR_MORE_START+")");break;case 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e,i;for(Ntn(e=n.Pc(),0,e.length,t),i=0;i<e.length;i++)n.hd(i,e[i])}function Non(n){var t,e;for(e=new DD(n);e.e!=e.i.gc();)ycn(t=uG(Zkn(e),27),0),Mcn(t,0)}function $on(n){this.e=n,this.d=new Dj(orn(kz(this.e).gc())),this.c=this.e.a,this.b=this.e.c}function Don(n){this.b=n,this.a=Inn(YHt,W1n,28,n+1,15,1),this.c=Inn(YHt,W1n,28,n,15,1),this.d=0}function xon(n,t,e){Orn.call(this,t,e),this.d=Inn(pbt,e6n,10,n.a.c.length,0,1),Ekn(n.a,this.d)}function Ron(n,t,e){M6.call(this,n,t,e),this.a=new Ym,this.b=new Ym,this.d=new Zg(this)}function Kon(n){tz.call(this),this.b=uM(pK(oIn(n,(jYn(),dTt)))),this.a=uG(oIn(n,Vyt),223)}function Fon(n,t){var e;return F$(t,16)?(e=uG(t,16),n.Gc(e)):cin(n,uG(WW(t),20).Kc())}function _on(n,t){kS(JJ(new fX(null,new h3(new Lw(n.b),1)),new UO(n,t)),new qO(n,t))}function Bon(n,t){t.Ug(g6n,1),kS(sin(new fX(null,new h3(n.b,16)),new Zt),new ne),t.Vg()}function Hon(n){return RA(n)?pln(n):FA(n)?OL(n):KA(n)?XK(n):Cz(n)?n.Hb():xX(n)?xx(n):OZ(n)}function Uon(n){var t,e;for(e=n.c.a.ec().Kc();e.Ob();)Xb(t=uG(e.Pb(),219),new MV(t.f))}function Gon(n){var t,e;for(e=n.c.a.ec().Kc();e.Ob();)zb(t=uG(e.Pb(),219),new PIn(t.e))}function qon(n,t){var e;e=n.zb,n.zb=t,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,1,e,n.zb))}function Xon(n,t){var e;e=n.xb,n.xb=t,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,3,e,n.xb))}function zon(n,t){var e;e=n.yb,n.yb=t,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,2,e,n.yb))}function Von(n,t){var e;(e=new Wk).n=t,ttn((!n.s&&(n.s=new fV(o_t,n,21,17)),n.s),e)}function Won(n,t){var e;(e=new PK).n=t,ttn((!n.s&&(n.s=new fV(o_t,n,21,17)),n.s),e)}function Qon(n,t){var e,i,r;for(tJ(t),e=!1,r=t.Kc();r.Ob();)i=r.Pb(),e|=n.Fc(i);return e}function Jon(n){var t,e,i;for(t=0,i=n.Kc();i.Ob();)t=~~(t+=null!=(e=i.Pb())?Hon(e):0);return t}function Yon(n,t){var e=n.a,i=0;for(var r in e)e.hasOwnProperty(r)&&(t[i++]=r);return t}function Zon(n){var t;return 0==n?"UTC":(n<0?(n=-n,t="UTC+"):t="UTC-",t+oin(n))}function nun(n){return n.a<54?n.f<0?-1:n.f>0?1:0:(!n.c&&(n.c=j2(Bsn(n.f))),n.c).e}function tun(n,t){t?null==n.B&&(n.B=n.D,n.D=null):null!=n.B&&(n.D=n.B,n.B=null)}function eun(n,t){return Xhn(),n==Flt&&t==Hlt||n==Hlt&&t==Flt||n==Blt&&t==_lt||n==_lt&&t==Blt}function iun(n,t){return Xhn(),n==Flt&&t==_lt||n==Flt&&t==Blt||n==Hlt&&t==Blt||n==Hlt&&t==_lt}function run(n,t){return YN(),oan(Z2n),e.Math.abs(0-t)<=Z2n||0==t||isNaN(0)&&isNaN(t)?0:n/t}function cun(n,t){return uM(pK(yx(cdn(YJ(new fX(null,new h3(n.c.b,16)),new _g(n)),t))))}function aun(n,t){return uM(pK(yx(cdn(YJ(new fX(null,new h3(n.c.b,16)),new Fg(n)),t))))}function oun(){return r_n(),Uhn(cT(bpt,1),p1n,259,0,[Zgt,tpt,ept,ipt,rpt,cpt,opt,Ygt,npt,apt])}function uun(){return THn(),Uhn(cT(Hjt,1),p1n,243,0,[$jt,Ijt,Ljt,Ojt,Ajt,Sjt,Njt,Djt,Pjt,Cjt])}function sun(n,t){t.Ug("General Compactor",1),Bpn(uG(zDn(n,(jOn(),LIt)),393)).Cg(n)}function hun(n,t){var e,i;return e=uG(zDn(n,(jOn(),FIt)),17),i=uG(zDn(t,FIt),17),d$(e.a,i.a)}function fun(n,t,e){var i,r;for(r=Fkn(n,0);r.b!=r.d.c;)(i=uG(I6(r),8)).a+=t,i.b+=e;return n}function lun(n,t,e){var i;for(i=n.b[e&n.f];i;i=i.b)if(e==i.a&&xQ(t,i.g))return i;return null}function bun(n,t,e){var i;for(i=n.c[e&n.f];i;i=i.d)if(e==i.f&&xQ(t,i.i))return i;return null}function wun(n,t,e){var i,r,c;for(i=0,r=0;r<e;r++)c=t[r],n[r]=c<<1|i,i=c>>>31;0!=i&&(n[e]=i)}function dun(n,t,e,i,r,c){var a;this.c=n,tTn(n,a=new Zm,t,n.b,e,i,r,c),this.a=new N4(a,0)}function gun(){this.c=new Vj(0),this.b=new Vj(F9n),this.d=new Vj(K9n),this.a=new Vj(_3n)}function pun(n,t,e,i,r,c,a){_E.call(this,n,t),this.d=e,this.e=i,this.c=r,this.b=c,this.a=n7(a)}function mun(n,t,e,i,r,c,a,o,u,s,h,f,l){return eLn(n,t,e,i,r,c,a,o,u,s,h,f,l),Sgn(n,!1),n}function vun(n){return n.b.c.i.k==(zIn(),lbt)?uG(oIn(n.b.c.i,(GYn(),rmt)),12):n.b.c}function kun(n){return n.b.d.i.k==(zIn(),lbt)?uG(oIn(n.b.d.i,(GYn(),rmt)),12):n.b.d}function yun(n){var t;return _A((t=t6(n)).a,0)?(gS(),gS(),fut):(gS(),new dR(t.b))}function Mun(n){var t;return _A((t=Z4(n)).a,0)?(dS(),dS(),hut):(dS(),new wR(t.b))}function Tun(n){var t;return _A((t=Z4(n)).a,0)?(dS(),dS(),hut):(dS(),new wR(t.c))}function jun(n){switch(n.g){case 2:return KQn(),_Rt;case 4:return KQn(),kRt;default:return n}}function Eun(n){switch(n.g){case 1:return KQn(),KRt;case 3:return KQn(),yRt;default:return n}}function Sun(n){switch(n.g){case 0:return new Wo;case 1:return new Qo;default:return null}}function Pun(){Pun=E,Hwt=new uF("edgelabelcenterednessanalysis.includelabel",(qx(),tot))}function Cun(){Cun=E,FEt=Lvn(gL(Aq(Aq(new wJ,(uIn(),Elt),(zYn(),kwt)),Slt,hwt),Plt),vwt)}function Iun(){Iun=E,XEt=Lvn(gL(Aq(Aq(new wJ,(uIn(),Elt),(zYn(),kwt)),Slt,hwt),Plt),vwt)}function Oun(){Oun=E,V_t=new Qk,Q_t=Uhn(cT(o_t,1),krt,179,0,[]),W_t=Uhn(cT(p_t,1),yrt,62,0,[])}function Aun(){Aun=E,Obt=new PC("TO_INTERNAL_LTR",0),Ibt=new PC("TO_INPUT_DIRECTION",1)}function Lun(){Lun=E,Tbt=new Bt,ybt=new Ht,Mbt=new Ut,kbt=new Gt,jbt=new qt,Ebt=new Xt}function Nun(n,t){t.Ug(g6n,1),Apn(FS(new Ad((zS(),new mY(n,!1,!1,new Ft))))),t.Vg()}function $un(n,t,e){e.Ug("DFS Treeifying phase",1),qmn(n,t),qKn(n,t),n.a=null,n.b=null,e.Vg()}function Dun(n,t){return qx(),RA(n)?r7(n,mK(t)):FA(n)?Rz(n,pK(t)):KA(n)?xz(n,gK(t)):n.Fd(t)}function xun(n,t){var e,i;for(tJ(t),i=t.vc().Kc();i.Ob();)e=uG(i.Pb(),44),n.zc(e.ld(),e.md())}function Run(n,t,e){var i;for(i=e.Kc();i.Ob();)if(!H5(n,t,i.Pb()))return!1;return!0}function Kun(n,t,e,i,r){var c;return e&&(c=emn(t.Dh(),n.c),r=e.Rh(t,-1-(-1==c?i:c),null,r)),r}function Fun(n,t,e,i,r){var c;return e&&(c=emn(t.Dh(),n.c),r=e.Th(t,-1-(-1==c?i:c),null,r)),r}function _un(n){var t;if(-2==n.b){if(0==n.e)t=-1;else for(t=0;0==n.a[t];t++);n.b=t}return n.b}function Bun(n){if(tJ(n),0==n.length)throw hv(new ZM("Zero length BigInteger"));XHn(this,n)}function Hun(n){this.i=n.gc(),this.i>0&&(this.g=this.aj(this.i+(this.i/8|0)+1),n.Qc(this.g))}function Uun(n,t,e){this.g=n,this.d=t,this.e=e,this.a=new Zm,RLn(this),hZ(),f$(this.a,null)}function Gun(n,t){t.q=n,n.d=e.Math.max(n.d,t.r),n.b+=t.d+(0==n.a.c.length?0:n.c),kD(n.a,t)}function qun(n,t){var e,i,r,c;return r=n.c,e=n.c+n.b,c=n.d,i=n.d+n.a,t.a>r&&t.a<e&&t.b>c&&t.b<i}function Xun(n,t){var e,i;for(i=Fkn(n,0);i.b!=i.d.c;)(e=uG(I6(i),8)).a+=t.a,e.b+=t.b;return n}function zun(n){var t,e;for(e=0,t=new Ww(n.b);t.a<t.c.c.length;)uG(N3(t),30).p=e,++e}function Vun(n){var t,e,i;return n.j==(KQn(),yRt)&&(e=$x(t=_$n(n),kRt),(i=$x(t,_Rt))||i&&e)}function Wun(n,t){var e;return jNn(new MO((e=ECn(n)).c,e.d),new MO(e.b,e.a),n.Mf(),t,n.ag())}function Qun(n,t){var e;vZ(e=uG(t,190),"x",n.i),vZ(e,"y",n.j),vZ(e,wet,n.g),vZ(e,bet,n.f)}function Jun(n,t){F$(t,85)?(uG(n.c,79).Gk(),hon(n,uG(t,85))):uG(n.c,79).Wb(t)}function Yun(n,t){var e,i;for(tJ(t),i=n.vc().Kc();i.Ob();)e=uG(i.Pb(),44),t.Yd(e.ld(),e.md())}function Zun(n,t){for(WW(t);n.Ob();)if(!shn(uG(n.Pb(),10)))return!1;return!0}function nsn(){var n;return Sut||(Sut=new ik,LN(n=new e9(""),(pS(),Eut)),won(Sut,n)),Sut}function tsn(n,t){return gen(new ld(n),new bd(t),new wd(t),new nn,Uhn(cT(Rut,1),p1n,108,0,[]))}function esn(){esn=E,iOt=new iO(q4n,0),rOt=new iO("POLAR_COORDINATE",1),eOt=new iO("ID",2)}function isn(){isn=E,Zjt=new vI("EQUALLY",0),nEt=new vI(o3n,1),tEt=new vI("NORTH_SOUTH",2)}function rsn(){rsn=E,Oht=new uF("debugSVG",(qx(),!1)),Aht=new uF("overlapsExisted",!0)}function csn(){csn=E,TNt=Abn((lAn(),Uhn(cT(SNt,1),p1n,285,0,[yNt,wNt,mNt,kNt,dNt,gNt,pNt,vNt])))}function asn(){asn=E,SFt=Abn((rDn(),Uhn(cT(PFt,1),p1n,245,0,[jFt,yFt,MFt,kFt,TFt,mFt,pFt,vFt])))}function osn(){osn=E,Kdt=Abn((h_n(),Uhn(cT(Xdt,1),p1n,276,0,[Odt,Ndt,Idt,xdt,Ldt,Adt,Ddt,$dt])))}function usn(){return OHn(),Uhn(cT(pPt,1),p1n,262,0,[fPt,rPt,uPt,sPt,oPt,iPt,hPt,tPt,aPt,cPt,ePt])}function ssn(n,t,e){var i,r;return r=uG(W_(n.d,t),17),i=uG(W_(n.b,e),17),r&&i?I7(n,r.a,i.a):null}function hsn(n,t){var e;return!!(e=QBn(aan(),n))&&(Myn(t,(XYn(),yDt),e),!0)}function fsn(n){return VK(),n.A.Hc((Qmn(),VRt))&&!n.B.Hc((oUn(),rKt))?xmn(n):null}function lsn(){this.a=uG(Jkn((cGn(),Tft)),17).a,this.c=uM(pK(Jkn(_ft))),this.b=uM(pK(Jkn(xft)))}function bsn(n){this.f=n,this.e=new a8(this.f.i),this.a=this.e,this.b=Phn(this),this.d=this.f.g}function wsn(n,t){_G.call(this,dBt,n,t),this.b=this,this.a=VKn(n.Dh(),ern(this.e.Dh(),this.c))}function dsn(n,t){var e,i;for(i=new Ww(t.b);i.a<i.c.c.length;)e=uG(N3(i),30),n.a[e.p]=OIn(e)}function gsn(n,t){var e;for(e=0;e<t.j.c.length;e++)uG(xen(n,e),21).Gc(uG(xen(t,e),16));return n}function psn(n,t,e,i){var r;e>(r=n.a.length)?e=r:s3(t,e+1),n.a=r1(n.a,0,t)+""+i+sQ(n.a,e)}function msn(n,t){n.a=Lgn(n.a,1),n.c=e.Math.min(n.c,t),n.b=e.Math.max(n.b,t),n.d=Lgn(n.d,t)}function vsn(n,t){return t<n.b.gc()?uG(n.b.Xb(t),10):t==n.b.gc()?n.a:uG(zq(n.e,t-n.b.gc()-1),10)}function ksn(n,t,e){return ugn(bD($kn(n),new MO(t.e.a,t.e.b)),bD($kn(n),new MO(e.e.a,e.e.b)))}function ysn(n,t,e){return n==(ean(),HEt)?new Cc:0!=uRn(t,1)?new rj(e.length):new ij(e.length)}function Msn(n,t){var 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Rdn(){Rdn=E,HAt=new fO("P1_STRUCTURE",0),UAt=new fO("P2_PROCESSING_ORDER",1),GAt=new fO("P3_EXECUTION",2)}function Kdn(){Kdn=E,qCt=Lvn(Lvn(gP(Lvn(Lvn(gP(Aq(new wJ,(Cjn(),VSt),(OHn(),fPt)),WSt),oPt),sPt),QSt),iPt),hPt)}function Fdn(n){switch(uG(oIn(n,(GYn(),Xpt)),311).g){case 1:kfn(n,Xpt,(Zen(),dpt));break;case 2:kfn(n,Xpt,(Zen(),ppt))}}function _dn(n){switch(n){case 0:return new Fk;case 1:return new Rk;case 2:return new Kk;default:throw hv(new Dv)}}function Bdn(n){switch(n.g){case 2:return YDt;case 1:return JDt;case 4:return QDt;case 3:return nxt;default:return ZDt}}function Hdn(n,t){switch(n.b.g){case 0:case 1:return t;case 2:case 3:return new gY(t.d,0,t.a,t.b);default:return null}}function Udn(n){switch(n.g){case 1:return _Rt;case 2:return yRt;case 3:return kRt;case 4:return KRt;default:return FRt}}function Gdn(n){switch(n.g){case 1:return KRt;case 2:return _Rt;case 3:return yRt;case 4:return kRt;default:return FRt}}function qdn(n){switch(n.g){case 1:return kRt;case 2:return KRt;case 3:return _Rt;case 4:return yRt;default:return FRt}}function Xdn(n,t,e,i){switch(t){case 1:return!n.n&&(n.n=new fV(lFt,n,1,7)),n.n;case 2:return n.k}return ajn(n,t,e,i)}function zdn(n,t,e){var i,r;return n.Pj()?(r=n.Qj(),i=HNn(n,t,e),n.Jj(n.Ij(7,xwn(e),i,t,r)),i):HNn(n,t,e)}function Vdn(n,t){var e,i,r;null==n.d?(++n.e,--n.f):(r=t.ld(),S7(n,i=((e=t.Bi())&vZn)%n.d.length,Txn(n,i,e,r)))}function Wdn(n,t){var e;e=0!=(n.Bb&w1n),t?n.Bb|=w1n:n.Bb&=-1025,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new j9(n,1,10,e,t))}function Qdn(n,t){var e;e=0!=(n.Bb&j0n),t?n.Bb|=j0n:n.Bb&=-4097,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new j9(n,1,12,e,t))}function Jdn(n,t){var e;e=0!=(n.Bb&hrt),t?n.Bb|=hrt:n.Bb&=-8193,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new j9(n,1,15,e,t))}function Ydn(n,t){var e;e=0!=(n.Bb&frt),t?n.Bb|=frt:n.Bb&=-2049,0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new j9(n,1,11,e,t))}function Zdn(n){var t;n.g&&(CFn((t=n.c.kg()?n.f:n.a).a,n.o,!0),CFn(t.a,n.o,!1),kfn(n.o,(jYn(),JMt),($Pn(),rRt)))}function ngn(n){var t;if(!n.a)throw hv(new kM("Cannot offset an unassigned cut."));t=n.c-n.b,n.b+=t,iZ(n,t),eZ(n,t)}function tgn(n,t){var e;if(null==(e=cQ(n.k,t)))throw hv(new SM("Port did not exist in input."));return Qun(t,e),null}function egn(n){var t,e;for(e=bxn(Hrn(n)).Kc();e.Ob();)if(qUn(n,t=mK(e.Pb())))return h8((yP(),r_t),t);return null}function ign(n){var t,e;for(e=n.p.a.ec().Kc();e.Ob();)if((t=uG(e.Pb(),218)).f&&n.b[t.c]<-1e-10)return t;return null}function rgn(n){var t,e;for(e=jQ(new WM,91),t=!0;n.Ob();)t||(e.a+=TZn),t=!1,QA(e,n.Pb());return(e.a+="]",e).a}function cgn(n){var t,e,i;for(t=new Zm,i=new Ww(n.b);i.a<i.c.c.length;)e=uG(N3(i),602),Ohn(t,uG(e.Cf(),16));return t}function agn(n,t){var e,i;for(i=new Ww(t);i.a<i.c.c.length;)e=uG(N3(i),42),men(n.b.b,e.b),LZ(uG(e.a,194),uG(e.b,86))}function ogn(n,t){var e;return 0!=(e=ugn(n.b.c,t.b.c))||0!=(e=ugn(n.a.a,t.a.a))?e:ugn(n.a.b,t.a.b)}function ugn(n,t){return n<t?-1:n>t?1:n==t?0==n?ugn(1/n,1/t):0:isNaN(n)?isNaN(t)?0:1:-1}function sgn(n){var t;return null==(t=n.a[n.c-1&n.a.length-1])?null:(n.c=n.c-1&n.a.length-1,uQ(n.a,n.c,null),t)}function hgn(n){var t,e,i;for(i=0,e=n.length,t=0;t<e;t++)32==n[t]||13==n[t]||10==n[t]||9==n[t]||(n[i++]=n[t]);return i}function fgn(n,t){var e,i,r,c,a;for(a=VKn(n.e.Dh(),t),c=0,e=uG(n.g,124),r=0;r<n.i;++r)i=e[r],a.am(i.Lk())&&++c;return c}function lgn(n,t,e){var i,r;for(r=F$(t,102)&&0!=(uG(t,19).Bb&P0n)?new yL(t,n):new Zsn(t,n),i=0;i<e;++i)_yn(r);return r}function bgn(n,t,e){var i;if(n.c)JCn(n.c,t,e);else for(i=new Ww(n.b);i.a<i.c.c.length;)bgn(uG(N3(i),163),t,e)}function wgn(n,t,e){var i,r;return i=uG(t.of(n.a),34),r=uG(e.of(n.a),34),null!=i&&null!=r?Dun(i,r):null!=i?-1:null!=r?1:0}function dgn(n,t){var e,i,r;for(tJ(t),e=!1,i=new Ww(n);i.a<i.c.c.length;)r=N3(i),t.Hc(r)&&(tW(i),e=!0);return e}function ggn(n){var t,e,i,r;return Mon(e=new nB(t=uG(Mj((r=(i=n.Rm).f)==Oat?i:r),9),uG(MF(t,t.length),9),0),n),e}function pgn(n){var t;return(t=uG(oIn(n,(jYn(),Byt)),88))==(xdn(),ZDt)?uM(pK(oIn(n,dyt)))>=1?YDt:QDt:t}function mgn(n){switch(uG(oIn(n,(jYn(),Vyt)),223).g){case 1:return new ic;case 3:return new uc;default:return new ec}}function vgn(n){if(n.c)vgn(n.c);else if(n.d)throw hv(new kM("Stream already terminated, can't be modified or used"))}function kgn(n,t,e){var i;return i=n.a.get(t),n.a.set(t,void 0===e?null:e),void 0===i?(++n.c,++n.b.g):++n.d,i}function ygn(n,t,e){var i,r;for(r=n.a.ec().Kc();r.Ob();)if(i=uG(r.Pb(),10),yhn(e,uG(zq(t,i.p),16)))return i;return null}function Mgn(n,t,e){var i;return i=0,t&&(fN(n.a)?i+=t.f.a/2:i+=t.f.b/2),e&&(fN(n.a)?i+=e.f.a/2:i+=e.f.b/2),i}function Tgn(n,t,e){var i;!(i=e)&&(i=xG(new fy,0)),i.Ug(K4n,2),zyn(n.b,t,i.eh(1)),Xzn(n,t,i.eh(1)),hJn(t,i.eh(1)),i.Vg()}function jgn(n,t,e){var i;return gj(),Scn(i=new ns,t),pcn(i,e),n&&ttn((!n.a&&(n.a=new MD(eFt,n,5)),n.a),i),i}function Egn(n){var t;return 0!=(64&n.Db)?vxn(n):((t=new fx(vxn(n))).a+=" (identifier: 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_L(n)&&_L(t)&&p0n<(e=n-t)&&e<d0n?e:Esn(Thn(_L(n)?Gsn(n):n,_L(t)?Gsn(t):t))}function Dgn(n,t){var e;return n.i||qLn(n),(e=uG(AJ(n.g,t),42))?new C2(n.j,uG(e.a,17).a,uG(e.b,17).a):(hZ(),hZ(),zot)}function xgn(n){return Mbn(),qx(),!!(upn(uG(n.a,86).j,uG(n.b,88))||0!=uG(n.a,86).d.e&&upn(uG(n.a,86).j,uG(n.b,88)))}function Rgn(n,t){return m_(t.b&&t.c?V3(t.b)+"->"+V3(t.c):"e_"+Hon(t),n.b&&n.c?V3(n.b)+"->"+V3(n.c):"e_"+Hon(n))}function Kgn(n,t){return m_(t.b&&t.c?V3(t.b)+"->"+V3(t.c):"e_"+Hon(t),n.b&&n.c?V3(n.b)+"->"+V3(n.c):"e_"+Hon(n))}function Fgn(n,t){return YN(),oan(T1n),e.Math.abs(n-t)<=T1n||n==t||isNaN(n)&&isNaN(t)?0:n<t?-1:n>t?1:KL(isNaN(n),isNaN(t))}function _gn(){_gn=E,fxt=new IO(Y2n,0),sxt=new IO("POLYLINE",1),uxt=new IO("ORTHOGONAL",2),hxt=new IO("SPLINES",3)}function Bgn(){Bgn=E,IOt=new aO("ASPECT_RATIO_DRIVEN",0),OOt=new aO("MAX_SCALE_DRIVEN",1),COt=new aO("AREA_DRIVEN",2)}function Hgn(n,t,e){try{Vfn(n,t,e)}catch(i){throw F$(i=Ehn(i),606)?hv(new x9(i)):hv(i)}return t}function Ugn(n){var t,e;for(t=0,e=n.length;t<e;t++)if(null==n[t])throw hv(new MM("at index "+t));return new IM(n)}function Ggn(n){var t,e;for(t=new Zm,e=new Ww(n.j);e.a<e.c.c.length;)kD(t,uG(N3(e),12).b);return WW(t),new iN(t)}function qgn(n){var t,e;for(t=new Zm,e=new Ww(n.j);e.a<e.c.c.length;)kD(t,uG(N3(e),12).e);return WW(t),new iN(t)}function Xgn(n){var t,e;for(t=new Zm,e=new Ww(n.j);e.a<e.c.c.length;)kD(t,uG(N3(e),12).g);return WW(t),new iN(t)}function zgn(n,t){var e,i,r;for(r=new Ym,i=t.vc().Kc();i.Ob();)vJ(r,(e=uG(i.Pb(),44)).ld(),Tsn(n,uG(e.md(),15)));return r}function Vgn(n){var t,e;for(e=TDn(Hrn(K0(n))).Kc();e.Ob();)if(qUn(n,t=mK(e.Pb())))return f8((mP(),b_t),t);return null}function Wgn(n,t){var e,i;for(i=0,e=uG(t.Kb(n),20).Kc();e.Ob();)oM(gK(oIn(uG(e.Pb(),18),(GYn(),pmt))))||++i;return i}function Qgn(n){var t,e,i;for(t=new GF(n.Rd().gc()),i=0,e=jtn(n.Rd().Kc());e.Ob();)M2(t,e.Pb(),xwn(i++));return vOn(t.a)}function Jgn(n,t,e,i){var r,c;return tJ(i),tJ(e),null==(c=null==(r=n.xc(t))?e:IS(uG(r,15),uG(e,16)))?n.Bc(t):n.zc(t,c),c}function Ygn(n,t,e,i){var r,c,a;for(r=t+1;r<e;++r)for(c=r;c>t&&i.Ne(n[c-1],n[c])>0;--c)a=n[c],uQ(n,c,n[c-1]),uQ(n,c-1,a)}function Zgn(n,t){var e,i,r,c,a;if(e=t.f,Akn(n.c.d,e,t),null!=t.g)for(c=0,a=(r=t.g).length;c<a;++c)i=r[c],Akn(n.c.e,i,t)}function npn(n,t){var e,i;for(e=Fkn(n,0);e.b!=e.d.c;){if((i=sM(pK(I6(e))))==t)return;if(i>t){F4(e);break}}lW(e,t)}function tpn(n,t){var i,r;r=uM(pK(Omn(z4(t),(jYn(),dTt)))),TEn(t,i=e.Math.max(0,r/2-.5),1),kD(n,new xC(t,i))}function epn(n,t,e){e.Ug("Straight Line Edge Routing",1),e.dh(t,l7n),DXn(n,uG(zDn(t,(SK(),zCt)),27)),e.dh(t,w7n)}function ipn(n,t){0==n.n.c.length&&kD(n.n,new c0(n.s,n.t,n.i)),kD(n.b,t),zMn(uG(zq(n.n,n.n.c.length-1),209),t),nqn(n,t)}function rpn(n){var t;this.a=new nB(t=uG(n.e&&n.e(),9),uG(MF(t,t.length),9),0),this.b=Inn(dat,EZn,1,this.a.a.length,5,1)}function cpn(n){return 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t,e;if(2!=n.c.length)throw hv(new kM("Order only allowed for two paths."));u3(0,n.c.length),t=uG(n.c[0],18),u3(1,n.c.length),e=uG(n.c[1],18),t.d.i!=e.c.i&&(n.c.length=0,mv(n.c,e),mv(n.c,t))}function mNn(n,t,e){var i;for(vN(e,t.g,t.f),kN(e,t.i,t.j),i=0;i<(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a).i;i++)mNn(n,uG(zrn((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a),i),27),uG(zrn((!e.a&&(e.a=new fV(bFt,e,10,11)),e.a),i),27))}function vNn(n,t){var i,r,c,a;for(i=(a=uG(AJ(n.b,t),127)).a,c=uG(uG(Y9(n.r,t),21),87).Kc();c.Ob();)(r=uG(c.Pb(),117)).c&&(i.a=e.Math.max(i.a,rq(r.c)));if(i.a>0)switch(t.g){case 2:a.n.c=n.s;break;case 4:a.n.b=n.s}}function kNn(n,t){var e,i,r;return 0==(e=uG(oIn(t,(cGn(),$ft)),17).a-uG(oIn(n,$ft),17).a)?(i=YF(D$(uG(oIn(n,(mon(),zft)),8)),uG(oIn(n,Vft),8)),r=YF(D$(uG(oIn(t,zft),8)),uG(oIn(t,Vft),8)),ugn(i.a*i.b,r.a*r.b)):e}function yNn(n,t){var e,i,r;return 0==(e=uG(oIn(t,(QGn(),yCt)),17).a-uG(oIn(n,yCt),17).a)?(i=YF(D$(uG(oIn(n,(OQn(),vPt)),8)),uG(oIn(n,kPt),8)),r=YF(D$(uG(oIn(t,vPt),8)),uG(oIn(t,kPt),8)),ugn(i.a*i.b,r.a*r.b)):e}function MNn(n){var t,e;return(e=new WM).a+="e_",null!=(t=bhn(n))&&(e.a+=""+t),n.c&&n.d&&(JA((e.a+=" ",e),njn(n.c)),JA(QA((e.a+="[",e),n.c.i),"]"),JA((e.a+=Y4n,e),njn(n.d)),JA(QA((e.a+="[",e),n.d.i),"]")),e.a}function TNn(n){switch(n.g){case 0:return new Tl;case 1:return new jl;case 2:return new yl;case 3:return new kl;default:throw hv(new vM("No implementation is available for the layout phase "+(null!=n.f?n.f:""+n.g)))}}function jNn(n,t,i,r,c){var a;switch(a=0,c.g){case 1:a=e.Math.max(0,t.b+n.b-(i.b+r));break;case 3:a=e.Math.max(0,-n.b-r);break;case 2:a=e.Math.max(0,-n.a-r);break;case 4:a=e.Math.max(0,t.a+n.a-(i.a+r))}return a}function ENn(n,t,e){var i,r,c;if(e)for(c=((i=new Gz(e.a.length)).b-i.a)*i.c<0?(CP(),XHt):new xD(i);c.Ob();)r=v6(e,uG(c.Pb(),17).a),vet in r.a||ket in 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r,c,a,o,u,s;for(r=0;r<t.o;r++)for(c=r-t.j+e,a=0;a<t.p;a++)if(u=c,s=o=a-t.k+i,u+=n.j,s+=n.k,u>=0&&s>=0&&u<n.o&&s<n.p&&(!iTn(t,r,a)&&_Mn(n,c,o)||eTn(t,r,a)&&!BMn(n,c,o)))return!0;return!1}function _Nn(n,t,e){var i,r,c,a;c=n.c,a=n.d,r=(Gfn(Uhn(cT(PNt,1),zZn,8,0,[c.i.n,c.n,c.a])).b+Gfn(Uhn(cT(PNt,1),zZn,8,0,[a.i.n,a.n,a.a])).b)/2,i=null,i=c.j==(KQn(),kRt)?new MO(t+c.i.c.c.a+e,r):new MO(t-e,r),sR(n.a,0,i)}function BNn(n){var t,e,i;for(t=null,e=OV(zcn(Uhn(cT(vat,1),EZn,20,0,[(!n.b&&(n.b=new f_(cFt,n,4,7)),n.b),(!n.c&&(n.c=new f_(cFt,n,5,8)),n.c)])));hDn(e);)if(i=lCn(uG(N9(e),84)),t){if(t!=i)return!1}else t=i;return!0}function HNn(n,t,e){var i;if(++n.j,t>=n.i)throw hv(new dM(zet+t+Vet+n.i));if(e>=n.i)throw hv(new dM(Wet+e+Vet+n.i));return i=n.g[e],t!=e&&(t<e?qGn(n.g,t,n.g,t+1,e-t):qGn(n.g,e+1,n.g,e,t-e),uQ(n.g,t,i),n.Pi(t,i,e),n.Ni()),i}function UNn(n,t,e){var i;if(i=uG(n.c.xc(t),16))return!!i.Fc(e)&&(++n.d,!0);if((i=n.ic(t)).Fc(e))return++n.d,n.c.zc(t,i),!0;throw hv(new x9("New Collection 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TRn(n){var t,i,r,c,a,o,u,s,h,f;for(i=n.o,t=n.p,o=vZn,c=j1n,u=vZn,a=j1n,h=0;h<i;++h)for(f=0;f<t;++f)eTn(n,h,f)&&(o=e.Math.min(o,h),c=e.Math.max(c,h),u=e.Math.min(u,f),a=e.Math.max(a,f));return s=c-o+1,r=a-u+1,new vY(xwn(o),xwn(u),xwn(s),xwn(r))}function jRn(n,t){var e,i,r,c;for(MK((c=new N4(n,0)).b<c.d.gc()),e=uG(c.d.Xb(c.c=c.b++),148);c.b<c.d.gc();)MK(c.b<c.d.gc()),r=new wG((i=uG(c.d.Xb(c.c=c.b++),148)).c,e.d,t),MK(c.b>0),c.a.Xb(c.c=--c.b),pF(c,r),MK(c.b<c.d.gc()),c.d.Xb(c.c=c.b++),r.a=!1,e=i}function ERn(n){var t,e,i,r,c;for(i=uG(oIn(n,(GYn(),Ppt)),12),c=new Ww(n.j);c.a<c.c.c.length;){for(e=new Ww((r=uG(N3(c),12)).g);e.a<e.c.c.length;)return u2(uG(N3(e),18),i),r;for(t=new Ww(r.e);t.a<t.c.c.length;)return c2(uG(N3(t),18),i),r}return null}function SRn(n,t,e){var i,r,c,a,o;for(o=uG(ER(n.a,t),17).a,PPn(n.a,xwn(e?o+1:o-1),t),a=new XL,r=new Fz(ix((e?Xgn(t):qgn(t)).a.Kc(),new h));hDn(r);)i=uG(N9(r),18),c=e?i.d.i:i.c.i,xA(ER(n.a,c))===xA(ER(n.a,t))&&a.a.zc(c,a);return a}function 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ARn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=3&&t){if(eEn(n,t))throw hv(new vM(net+SXn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?sEn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=kyn(t,n,12,i)),(i=nF(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,3,t,t))}function LRn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=9&&t){if(eEn(n,t))throw hv(new vM(net+VBn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?Wjn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=kyn(t,n,9,i)),(i=tF(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,9,t,t))}function NRn(n){var t,e,i,r,c;if(i=bEn(n),null==(c=n.j)&&i)return n.Jk()?null:i.ik();if(F$(i,156)){if((e=i.jk())&&(r=e.wi())!=n.i){if((t=uG(i,156)).nk())try{n.g=r.ti(t,c)}catch(a){if(!F$(a=Ehn(a),82))throw hv(a);n.g=null}n.i=r}return n.g}return null}function $Rn(n){var t;return kD(t=new Zm,new ZP(new MO(n.c,n.d),new MO(n.c+n.b,n.d))),kD(t,new ZP(new MO(n.c,n.d),new MO(n.c,n.d+n.a))),kD(t,new ZP(new MO(n.c+n.b,n.d+n.a),new MO(n.c+n.b,n.d))),kD(t,new ZP(new MO(n.c+n.b,n.d+n.a),new 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sk,++n.b,e),n.d),o=Fkn(c,0);o.b!=o.d.c;)a=uG(I6(o),125),RKn(xS(DS(RS($S(new uk,1),0),t),a))}function URn(n,t,e){var i,r,c,a;for(e.Ug("Breaking Point Removing",1),n.a=uG(oIn(t,(jYn(),Vyt)),223),r=new Ww(t.b);r.a<r.c.c.length;)for(a=new Ww(T3(uG(N3(r),30).a));a.a<a.c.c.length;)Lin(c=uG(N3(a),10))&&!(i=uG(oIn(c,(GYn(),Spt)),313)).d&&PQn(n,i);e.Vg()}function GRn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=11&&t){if(eEn(n,t))throw hv(new vM(net+zBn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?hEn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=kyn(t,n,10,i)),(i=n_(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,11,t,t))}function qRn(n){var t,e,i,r;for(i=new bsn(new Nw(n.b).a);i.b;)r=uG((e=von(i)).ld(),12),kfn(t=uG(e.md(),10),(GYn(),rmt),r),kfn(r,lmt,t),kfn(r,qpt,(qx(),!0)),NLn(r,uG(oIn(t,Fpt),64)),oIn(t,Fpt),kfn(r.i,(jYn(),JMt),($Pn(),oRt)),uG(oIn(HQ(r.i),Hpt),21).Fc((r_n(),rpt))}function XRn(n,t,e){var i,r,c;if(i=0,r=0,n.c)for(c=new Ww(n.d.i.j);c.a<c.c.c.length;)i+=uG(N3(c),12).e.c.length;else i=1;if(n.d)for(c=new Ww(n.c.i.j);c.a<c.c.c.length;)r+=uG(N3(c),12).g.c.length;else r=1;return(e+t)/2+.4*t0(gq(r-i))*(e-t)}function zRn(n){var t,e;if(gPn(),n.Hc((KQn(),FRt)))throw hv(new vM("Port sides must not contain UNDEFINED"));switch(n.gc()){case 1:return wdt;case 2:return t=n.Hc(kRt)&&n.Hc(_Rt),e=n.Hc(yRt)&&n.Hc(KRt),t||e?pdt:gdt;case 3:return ddt;case 4:return bdt;default:return null}}function VRn(n,t,e){return l_n(),(!qun(n,t)||!qun(n,e))&&(RWn(new MO(n.c,n.d),new MO(n.c+n.b,n.d),t,e)||RWn(new MO(n.c+n.b,n.d),new MO(n.c+n.b,n.d+n.a),t,e)||RWn(new MO(n.c+n.b,n.d+n.a),new MO(n.c,n.d+n.a),t,e)||RWn(new MO(n.c,n.d+n.a),new MO(n.c,n.d),t,e))}function WRn(n,t){var e,i,r,c;if(!n.dc())for(e=0,i=n.gc();e<i;++e)if(null==(c=mK(n.Xb(e)))?null==t:m_(c.substr(0,3),"!##")?null!=t&&(r=t.length,!m_(c.substr(c.length-r,r),t)||c.length!=t.length+3)&&!m_(lct,t):m_(c,bct)&&!m_(lct,t)||m_(c,t))return!0;return!1}function QRn(n,t,e,i){var r,c,a,o,u,s;for(a=n.j.c.length,u=Inn(_st,X2n,314,a,0,1),o=0;o<a;o++)(c=uG(zq(n.j,o),12)).p=o,u[o]=r$n(bDn(c),e,i);for(BKn(n,u,e,t,i),s=new Ym,r=0;r<u.length;r++)u[r]&&vJ(s,uG(zq(n.j,r),12),u[r]);s.f.c+s.i.c!=0&&(kfn(n,(GYn(),$pt),s),dOn(n,u))}function JRn(n,t){var e,i,r;for(t.Ug("Partition postprocessing",1),e=new Ww(n.b);e.a<e.c.c.length;)for(i=new Ww(uG(N3(e),30).a);i.a<i.c.c.length;)for(r=new Ww(uG(N3(i),10).j);r.a<r.c.c.length;)oM(gK(oIn(uG(N3(r),12),(GYn(),fmt))))&&tW(r);t.Vg()}function YRn(n,t,e){var i,r;for(i=new Ww(n.a.b);i.a<i.c.c.length;)if((r=z4(uG(N3(i),60)))&&r.k==(zIn(),lbt))switch(uG(oIn(r,(GYn(),Fpt)),64).g){case 4:r.n.a=t.a;break;case 2:r.n.a=e.a-(r.o.a+r.d.c);break;case 1:r.n.b=t.b;break;case 3:r.n.b=e.b-(r.o.b+r.d.a)}}function ZRn(n,t,e){var i,r,c;for(e.Ug("Processor determine the height for each 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i,r,c,a,o,u;if(c=(r=e).Lk(),EFn(n.e,c)){if(c.Si())for(i=uG(n.g,124),a=0;a<n.i;++a)if(udn(o=i[a],r)&&a!=t)throw hv(new vM(Xet))}else for(u=VKn(n.e.Dh(),c),i=uG(n.g,124),a=0;a<n.i;++a)if(o=i[a],u.am(o.Lk()))throw hv(new vM(dct));$dn(n,t,e)}function rKn(n,t){var e,i,r,c,a,o;for(e=uG(oIn(t,(GYn(),xpt)),21),a=uG(Y9((aYn(),Jlt),e),21),o=uG(Y9(rbt,e),21),c=a.Kc();c.Ob();)if(i=uG(c.Pb(),21),!uG(Y9(n.b,i),15).dc())return!1;for(r=o.Kc();r.Ob();)if(i=uG(r.Pb(),21),!uG(Y9(n.b,i),15).dc())return!1;return!0}function cKn(n,t){var e,i,r,c,a,o,u;if(1==n.a.c.length)return EOn(uG(zq(n.a,0),172),t);for(r=Swn(n),a=0,o=n.d,i=r,u=n.d,c=(o-i)/2+i;i+1<o;){for(a=0,e=new Ww(n.a);e.a<e.c.c.length;)a+=uXn(uG(N3(e),172),c,!1).a;a<t?(u=c,o=c):i=c,c=(o-i)/2+i}return u}function aKn(n,t){var e,i,r,c,a;if(!t)return n;if(F$(t,342))for(r=uG(t,342),!n.o&&(n.o=new ltn((tYn(),XKt),EFt,n,0)),c=n.o,i=r.gh().c.Kc();i.e!=i.i.gc();)a=(e=uG(i.Yj(),44)).md(),rSn(c,uG(e.ld(),149),a);else!n.o&&(n.o=new ltn((tYn(),XKt),EFt,n,0)),hon(n.o,t.nf());return n}function oKn(n){var t,e,i,r;return isNaN(n)?(tin(),not):n<-0x8000000000000000?(tin(),Yat):n>=0x8000000000000000?(tin(),Jat):(i=!1,n<0&&(i=!0,n=-n),e=0,n>=d0n&&(n-=(e=t0(n/d0n))*d0n),t=0,n>=w0n&&(n-=(t=t0(n/w0n))*w0n),r=p$(t0(n),t,e),i&&Yfn(r),r)}function uKn(n){var t,e,i,r,c;if(c=new Zm,Prn(n.b,new Ed(c)),n.b.c.length=0,0!=c.c.length){for(u3(0,c.c.length),t=uG(c.c[0],82),e=1,i=c.c.length;e<i;++e)u3(e,c.c.length),(r=uG(c.c[e],82))!=t&&OCn(t,r);if(F$(t,63))throw hv(uG(t,63));if(F$(t,295))throw hv(uG(t,295))}}function sKn(n,t){var e,i,r,c;for(e=!t||!n.u.Hc((eNn(),wRt)),c=0,r=new Ww(n.e.Xf());r.a<r.c.c.length;){if((i=uG(N3(r),852)).ag()==(KQn(),FRt))throw hv(new vM("Label and node size calculator can only be used with ports that have port sides assigned."));i.Qf(c++),wwn(n,i,e)}}function hKn(n){var t,e,i,r,c;for(e=new Ww(n.a.a);e.a<e.c.c.length;){for((t=uG(N3(e),316)).j=null,c=t.a.a.ec().Kc();c.Ob();)dL((i=uG(c.Pb(),60)).b),(!t.j||i.d.c<t.j.d.c)&&(t.j=i);for(r=t.a.a.ec().Kc();r.Ob();)(i=uG(r.Pb(),60)).b.a=i.d.c-t.j.d.c,i.b.b=i.d.d-t.j.d.d}return n}function fKn(n){var t,e,i,r,c;for(e=new Ww(n.a.a);e.a<e.c.c.length;){for((t=uG(N3(e),194)).f=null,c=t.a.a.ec().Kc();c.Ob();)dL((i=uG(c.Pb(),86)).e),(!t.f||i.g.c<t.f.g.c)&&(t.f=i);for(r=t.a.a.ec().Kc();r.Ob();)(i=uG(r.Pb(),86)).e.a=i.g.c-t.f.g.c,i.e.b=i.g.d-t.f.g.d}return n}function lKn(n){var t,i,r;return i=uG(n.a,17).a,r=uG(n.b,17).a,i<(t=e.Math.max(e.Math.abs(i),e.Math.abs(r)))&&r==-t?new WO(xwn(i+1),xwn(r)):i==t&&r<t?new WO(xwn(i),xwn(r+1)):i>=-t&&r==t?new WO(xwn(i-1),xwn(r)):new WO(xwn(i),xwn(r-1))}function bKn(){return zYn(),Uhn(cT(Vwt,1),p1n,81,0,[qbt,Hbt,Xbt,uwt,Pwt,lwt,Nwt,pwt,Ewt,iwt,ywt,gwt,Swt,Zbt,Dwt,xbt,kwt,Iwt,swt,Cwt,Rwt,Twt,Rbt,jwt,Kwt,Awt,xwt,hwt,Qbt,fwt,owt,$wt,_bt,Vbt,wwt,Fbt,dwt,cwt,nwt,mwt,ewt,Ubt,Bbt,awt,twt,vwt,Lwt,Kbt,Mwt,rwt,bwt,Jbt,Wbt,Owt,zbt,Ybt,Gbt])}function wKn(n,t,e){n.d=0,n.b=0,t.k==(zIn(),gbt)&&e.k==gbt&&uG(oIn(t,(GYn(),rmt)),10)==uG(oIn(e,rmt),10)&&(jen(t).j==(KQn(),yRt)?Rxn(n,t,e):Rxn(n,e,t)),t.k==gbt&&e.k==wbt?jen(t).j==(KQn(),yRt)?n.d=1:n.b=1:e.k==gbt&&t.k==wbt&&(jen(e).j==(KQn(),yRt)?n.b=1:n.d=1),GMn(n,t,e)}function dKn(n){var t,e,i,r,c;return c=gCn(n),null!=n.a&&ZG(c,"category",n.a),!pE(new Lw(n.d))&&(nrn(c,"knownOptions",i=new Ib),t=new Mm(i),z8(new Lw(n.d),t)),!pE(n.g)&&(nrn(c,"supportedFeatures",r=new Ib),e=new Tm(r),z8(n.g,e)),c}function gKn(n){var t,e,i,r,c,a,o,u;for(t=336,e=0,r=new UF(n.length),o=0,u=(a=n).length;o<u;++o)vgn(c=a[o]),GQ(c),i=c.a,kD(r.a,WW(i)),t&=i.yd(),e=cbn(e,i.zd());return uG(uG(bW(new fX(null,ICn(new h3((ZW(),Emn(r.a)),16),new g,t,e)),new jb(n)),687),848)}function pKn(n,t){var e;n.d&&(t.c!=n.e.c||iun(n.e.b,t.b))&&(kD(n.f,n.d),n.a=n.d.c+n.d.b,n.d=null,n.e=null),HL(t.b)?n.c=t:n.b=t,(t.b==(Xhn(),Flt)&&!t.a||t.b==_lt&&t.a||t.b==Blt&&t.a||t.b==Hlt&&!t.a)&&n.c&&n.b&&(e=new gY(n.a,n.c.d,t.c-n.a,n.b.d-n.c.d),n.d=e,n.e=t)}function mKn(n){var t;if(ly.call(this),this.i=new su,this.g=n,this.f=uG(n.e&&n.e(),9).length,0==this.f)throw hv(new vM("There must be at least one phase in the phase enumeration."));this.c=new nB(t=uG(Mj(this.g),9),uG(MF(t,t.length),9),0),this.a=new wJ,this.b=new Ym}function vKn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=7&&t){if(eEn(n,t))throw hv(new vM(net+zOn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?Vjn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=uG(t,54).Rh(n,1,iFt,i)),(i=dz(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,7,t,t))}function kKn(n,t){var e,i;if(t!=n.Cb||n.Db>>16!=3&&t){if(eEn(n,t))throw hv(new vM(net+fdn(n)));i=null,n.Cb&&(i=(e=n.Db>>16)>=0?Yjn(n,i):n.Cb.Th(n,-1-e,null,i)),t&&(i=uG(t,54).Rh(n,0,uFt,i)),(i=gz(n,t,i))&&i.oj()}else 0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,1,3,t,t))}function yKn(n,t){var e,i,r,c,a,o,u,s,h;return b_n(),t.d>n.d&&(o=n,n=t,t=o),t.d<63?KFn(n,t):(s=$9(n,a=(-2&n.d)<<4),h=$9(t,a),i=mXn(n,D9(s,a)),r=mXn(t,D9(h,a)),u=yKn(s,h),e=yKn(i,r),c=D9(c=Zzn(Zzn(c=yKn(mXn(s,i),mXn(r,h)),u),e),a),Zzn(Zzn(u=D9(u,a<<1),c),e))}function MKn(){MKn=E,rjt=new fI(v9n,0),tjt=new fI("LONGEST_PATH",1),ejt=new fI("LONGEST_PATH_SOURCE",2),YTt=new fI("COFFMAN_GRAHAM",3),njt=new fI(D6n,4),cjt=new fI("STRETCH_WIDTH",5),ijt=new fI("MIN_WIDTH",6),JTt=new fI("BF_MODEL_ORDER",7),ZTt=new fI("DF_MODEL_ORDER",8)}function TKn(n,t,e){var i,r,c,a,o;for(a=Vwn(n,e),o=Inn(pbt,e6n,10,t.length,0,1),i=0,c=a.Kc();c.Ob();)oM(gK(oIn(r=uG(c.Pb(),12),(GYn(),qpt))))&&(o[i++]=uG(oIn(r,lmt),10));if(i<t.length)throw hv(new kM("Expected "+t.length+" hierarchical ports, but found only "+i+"."));return o}function jKn(n,t){var e,i,r,c,a,o;if(!n.tb){for(!n.rb&&(n.rb=new vV(n,s_t,n)),o=new sS((c=n.rb).i),r=new DD(c);r.e!=r.i.gc();)i=uG(Zkn(r),142),(e=uG(null==(a=i.xe())?VAn(o.f,null,i):kgn(o.i,a,i),142))&&(null==a?VAn(o.f,null,e):kgn(o.i,a,e));n.tb=o}return uG(U1(n.tb,t),142)}function EKn(n,t){var e,i,r,c,a;if((null==n.i&&eqn(n),n.i).length,!n.p){for(a=new sS(1+(3*n.g.i/2|0)),r=new nR(n.g);r.e!=r.i.gc();)i=uG(nyn(r),179),(e=uG(null==(c=i.xe())?VAn(a.f,null,i):kgn(a.i,c,i),179))&&(null==c?VAn(a.f,null,e):kgn(a.i,c,e));n.p=a}return uG(U1(n.p,t),179)}function SKn(n,t,e,i,r){var c,a,o,u;for(Xvn(i+i1(e,e.ie()),r),mQ(t,Rpn(e)),(c=e.f)&&SKn(n,t,c,"Caused by: ",!1),null==e.k&&(e.k=Inn(xat,zZn,82,0,0,1)),o=0,u=(a=e.k).length;o<u;++o)SKn(n,t,a[o],"Suppressed: ",!1);null!=console.groupEnd&&console.groupEnd.call(console)}function PKn(n,t,e,i){var r,c,a,o;for(a=(o=t.e).length,c=t.q.ug(o,e?0:a-1,e),c|=wBn(n,o[e?0:a-1],e,i),r=e?1:a-2;e?r<a:r>=0;r+=e?1:-1)c|=t.c.lg(o,r,e,i&&!oM(gK(oIn(t.j,(GYn(),Bpt))))&&!oM(gK(oIn(t.j,(GYn(),mmt))))),c|=t.q.ug(o,r,e),c|=wBn(n,o[r],e,i);return FV(n.c,t),c}function CKn(n,t,e){var i,r,c,a,o,u,s,h;for(s=0,h=(u=s6(n.j)).length;s<h;++s){if(o=u[s],e==(can(),Vjt)||e==Qjt)for(c=0,a=(r=x4(o.g)).length;c<a;++c)wOn(t,i=r[c])&&pqn(i,!0);if(e==Wjt||e==Qjt)for(c=0,a=(r=x4(o.e)).length;c<a;++c)bOn(t,i=r[c])&&pqn(i,!0)}}function IKn(n){var t,e;switch(t=null,e=null,FSn(n).g){case 1:KQn(),t=kRt,e=_Rt;break;case 2:KQn(),t=KRt,e=yRt;break;case 3:KQn(),t=_Rt,e=kRt;break;case 4:KQn(),t=yRt,e=KRt}qb(n,uG(yx(Qz(uG(Y9(n.k,t),15).Oc(),Fdt)),113)),Gb(n,uG(yx(Wz(uG(Y9(n.k,e),15).Oc(),Fdt)),113))}function OKn(n){var t,e,i,r,c,a;if((r=uG(zq(n.j,0),12)).e.c.length+r.g.c.length==0)n.n.a=0;else{for(a=0,i=OV(zcn(Uhn(cT(vat,1),EZn,20,0,[new zd(r),new 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i,r,c,a,o,u,s,h;if(n.e=t,n.f=uG(oIn(t,(mon(),Qft)),234),LCn(t),n.d=e.Math.max(16*t.e.c.length+t.c.c.length,256),!oM(gK(oIn(t,(cGn(),Mft)))))for(h=n.e.e.c.length,u=new Ww(t.e);u.a<u.c.c.length;)(s=uG(N3(u),153).d).a=BX(n.f)*h,s.b=BX(n.f)*h;for(i=t.b,a=new Ww(t.c);a.a<a.c.c.length;)if(c=uG(N3(a),289),(r=uG(oIn(c,Rft),17).a)>0){for(o=0;o<r;o++)kD(i,new $W(c));CNn(c)}}function mGn(n,t,e,i){var r,c,a,o,u,s,h,f,l;if(f=new QW(n.Zg()),nrn(t,Bet,f),e&&!n.Xg().a.dc())for(nrn(t,"logs",s=new Ib),o=0,l=new Gw(n.Xg().b.Kc());l.b.Ob();)h=new QW(mK(l.b.Pb())),uin(s,o),W5(s,o,h),++o;if(i&&nrn(t,"executionTime",new Pb(n.Wg())),!n.Yg().a.dc())for(a=new Ib,nrn(t,pet,a),o=0,c=new Gw(n.Yg().b.Kc());c.b.Ob();)r=uG(c.b.Pb(),871),u=new _y,uin(a,o),W5(a,o,u),mGn(r,u,e,i),++o}function vGn(){vGn=E,SP(),qHt=new Df,Uhn(cT(Y_t,2),zZn,381,0,[Uhn(cT(Y_t,1),uat,600,0,[new dE(Act)])]),Uhn(cT(Y_t,2),zZn,381,0,[Uhn(cT(Y_t,1),uat,600,0,[new dE(Lct)])]),Uhn(cT(Y_t,2),zZn,381,0,[Uhn(cT(Y_t,1),uat,600,0,[new 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n.c&&n.c.Vh()&&(e=uG(n.c,54),n.c=uG(mwn(n,e),142),n.c!=e&&(0!=(4&n.Db)&&0==(1&n.Db)&&Msn(n,new lV(n,9,2,e,n.c)),F$(n.Cb,411)?n.Db>>16==-15&&n.Cb.Yh()&&Cen(new btn(n.Cb,9,13,e,n.c,Hyn(Aen(uG(n.Cb,62)),n))):F$(n.Cb,90)&&n.Db>>16==-23&&n.Cb.Yh()&&(F$(t=n.c,90)||(YYn(),t=x_t),F$(e,90)||(YYn(),e=x_t),Cen(new btn(n.Cb,9,10,e,t,Hyn(z5(uG(n.Cb,29)),n)))))),n.c}function TGn(n,t,e){var i,r,c,a,o,u,s,h;for(e.Ug("Hyperedge merging",1),CDn(n,t),o=new N4(t.b,0);o.b<o.d.gc();)if(MK(o.b<o.d.gc()),0!=(s=uG(o.d.Xb(o.c=o.b++),30).a).c.length)for(i=null,r=null,c=null,a=null,u=0;u<s.c.length;u++)u3(u,s.c.length),(r=(i=uG(s.c[u],10)).k)==(zIn(),wbt)&&a==wbt&&(h=jXn(i,c)).a&&(QFn(i,c,h.b,h.c),u3(u,s.c.length),nE(s.c,u,1),--u,i=c,r=a),c=i,a=r;e.Vg()}function jGn(n,t,e){var i,r,c,a,o,u,s;if(t==e)return!0;if(t=uDn(n,t),e=uDn(n,e),i=PMn(t)){if((u=PMn(e))!=i)return!!u&&(a=i.mk())==u.mk()&&null!=a;if(!t.d&&(t.d=new MD(g_t,t,1)),r=(c=t.d).i,!e.d&&(e.d=new MD(g_t,e,1)),r==(s=e.d).i)for(o=0;o<r;++o)if(!jGn(n,uG(zrn(c,o),89),uG(zrn(s,o),89)))return!1;return!0}return t.e==e.e}function EGn(n,t,e,i){var r,c,a,o,u,s,h,f;if(EFn(n.e,t)){for(f=VKn(n.e.Dh(),t),c=uG(n.g,124),h=null,u=-1,o=-1,r=0,s=0;s<n.i;++s)a=c[s],f.am(a.Lk())&&(r==e&&(u=s),r==i&&(o=s,h=a.md()),++r);if(-1==u)throw hv(new dM(zet+e+Vet+r));if(-1==o)throw hv(new dM(Wet+i+Vet+r));return zdn(n,u,o),uN(n.e)&&Yv(n,VZ(n,7,t,xwn(i),h,e,!0)),h}throw hv(new vM("The feature must be many-valued to support move"))}function SGn(n,t,e,i){var r,c,a,o,u;switch((u=new eN(t.n)).a+=t.o.a/2,u.b+=t.o.b/2,o=uM(pK(oIn(t,(jYn(),QMt)))),c=n.f,a=n.d,r=n.c,uG(oIn(t,(GYn(),Fpt)),64).g){case 1:u.a+=a.b+r.a-e/2,u.b=-i-o,t.n.b=-(a.d+o+r.b);break;case 2:u.a=c.a+a.b+a.c+o,u.b+=a.d+r.b-i/2,t.n.a=c.a+a.c+o-r.a;break;case 3:u.a+=a.b+r.a-e/2,u.b=c.b+a.d+a.a+o,t.n.b=c.b+a.a+o-r.b;break;case 4:u.a=-e-o,u.b+=a.d+r.b-i/2,t.n.a=-(a.b+o+r.a)}return u}function PGn(n){var t,e,i,r,c,a;return zsn(i=new 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r=LMn(n,!1),qX(n.a[0],i.c+t.b,r[0]),qX(n.a[2],i.c+i.b-t.c-r[2],r[2]),l=i.b-t.b-t.c,r[0]>0&&(l-=r[0]+n.c,r[0]+=n.c),r[2]>0&&(l-=r[2]+n.c),r[1]=e.Math.max(r[1],l),qX(n.a[1],i.c+t.b+r[0]-(r[1]-l)/2,r[1]);for(u=0,h=(a=n.a).length;u<h;++u)F$(c=a[u],336)&&uG(c,336).lf()}function ZGn(n){var t,e,i,r,c,a,o,u,s,h,f;for((f=new ra).d=0,a=new Ww(n.b);a.a<a.c.c.length;)c=uG(N3(a),30),f.d+=c.a.c.length;for(i=0,r=0,f.a=Inn(YHt,W1n,28,n.b.c.length,15,1),s=0,h=0,f.e=Inn(YHt,W1n,28,f.d,15,1),e=new Ww(n.b);e.a<e.c.c.length;)for((t=uG(N3(e),30)).p=i++,f.a[t.p]=r++,h=0,u=new Ww(t.a);u.a<u.c.c.length;)(o=uG(N3(u),10)).p=s++,f.e[o.p]=h++;return f.c=new gp(f),f.b=iR(f.d),OUn(f,n),f.f=iR(f.d),AUn(f,n),f}function nqn(n,t){var i,r,c;for(c=uG(zq(n.n,n.n.c.length-1),209).d,n.p=e.Math.min(n.p,t.g),n.r=e.Math.max(n.r,c),n.g=e.Math.max(n.g,t.g+(1==n.b.c.length?0:n.i)),n.o=e.Math.min(n.o,t.f),n.e+=t.f+(1==n.b.c.length?0:n.i),n.f=e.Math.max(n.f,t.f),r=n.n.c.length>0?(n.n.c.length-1)*n.i:0,i=new Ww(n.n);i.a<i.c.c.length;)r+=uG(N3(i),209).a;n.d=r,n.a=n.e/n.b.c.length-n.i*((n.b.c.length-1)/n.b.c.length),ijn(n.j)}function tqn(n,t){var e,i,r,c,a,o,u,s,h;if(null==(s=gK(oIn(t,(cGn(),Kft))))||(tJ(s),s)){for(h=Inn(ZHt,B2n,28,t.e.c.length,16,1),a=d$n(t),r=new lS,u=new Ww(t.e);u.a<u.c.c.length;)(e=Gxn(n,uG(N3(u),153),null,null,h,a))&&(zsn(e,t),s8(r,e,r.c.b,r.c));if(r.b>1)for(i=Fkn(r,0);i.b!=i.d.c;)for(c=0,o=new Ww((e=uG(I6(i),235)).e);o.a<o.c.c.length;)uG(N3(o),153).a=c++;return r}return n7(Uhn(cT(mft,1),U3n,235,0,[t]))}function eqn(n){var t,e,i,r,c;if(!n.g){if(c=new ys,null==(t=V_t).a.zc(n,t)){for(e=new DD(n1(n));e.e!=e.i.gc();)CW(c,eqn(uG(Zkn(e),29)));t.a.Bc(n),t.a.gc()}for(i=c.i,!n.s&&(n.s=new fV(o_t,n,21,17)),r=new DD(n.s);r.e!=r.i.gc();++i)hw(uG(Zkn(r),461),i);CW(c,(!n.s&&(n.s=new fV(o_t,n,21,17)),n.s)),lbn(c),n.g=new Afn(n,c),n.i=uG(c.g,254),null==n.i&&(n.i=Q_t),n.p=null,y9(n).b&=-5}return n.g}function iqn(n,t){var e,i,r,c,a,o,u,s,h;if((e=t.qi(n.a))&&null!=(u=mK(Lmn((!e.b&&(e.b=new XR((YYn(),H_t),wBt,e)),e.b),"memberTypes")))){for(s=new Zm,a=0,o=(c=WGn(u,"\\w")).length;a<o;++a)F$(h=-1==(i=(r=c[a]).lastIndexOf("#"))?hK(n,t.jk(),r):0==i?gtn(n,null,(s3(1,r.length+1),r.substr(1))):gtn(n,(Knn(0,i,r.length),r.substr(0,i)),(s3(i+1,r.length+1),r.substr(i+1))),156)&&kD(s,uG(h,156));return s}return hZ(),hZ(),zot}function rqn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w;if(r=n.i,i=n.n,0==n.b)t=AMn(n,!1),XX(n.a[0],r.d+i.d,t[0]),XX(n.a[2],r.d+r.a-i.a-t[2],t[2]),l=r.a-i.d-i.a,t[0]>0&&(t[0]+=n.c,l-=t[0]),t[2]>0&&(l-=t[2]+n.c),t[1]=e.Math.max(t[1],l),XX(n.a[1],r.d+i.d+t[0]-(t[1]-l)/2,t[1]);else for(w=r.d+i.d,b=r.a-i.d-i.a,s=0,f=(o=n.a).length;s<f;++s)XX(c=o[s],w,b);for(u=0,h=(a=n.a).length;u<h;++u)F$(c=a[u],336)&&uG(c,336).mf()}function cqn(n){var t,e,i,r,c,a,o,u,s;for(s=Inn(YHt,W1n,28,n.b.c.length+1,15,1),u=new ek,i=0,c=new Ww(n.b);c.a<c.c.c.length;){for(r=uG(N3(c),30),s[i++]=u.a.gc(),o=new Ww(r.a);o.a<o.c.c.length;)for(e=new Fz(ix(Xgn(uG(N3(o),10)).a.Kc(),new h));hDn(e);)t=uG(N9(e),18),u.a.zc(t,u);for(a=new Ww(r.a);a.a<a.c.c.length;)for(e=new Fz(ix(qgn(uG(N3(a),10)).a.Kc(),new h));hDn(e);)t=uG(N9(e),18),u.a.Bc(t)}return s}function aqn(n,t,e,i){var r,c,a,o,u;if(u=VKn(n.e.Dh(),t),r=uG(n.g,124),PP(),uG(t,69).xk()){for(a=0;a<n.i;++a)if(c=r[a],u.am(c.Lk())&&udn(c,e))return!0}else if(null!=e){for(o=0;o<n.i;++o)if(c=r[o],u.am(c.Lk())&&udn(e,c.md()))return!0;if(i)for(a=0;a<n.i;++a)if(c=r[a],u.am(c.Lk())&&xA(e)===xA(fK(n,uG(c.md(),58))))return!0}else for(a=0;a<n.i;++a)if(c=r[a],u.am(c.Lk())&&null==c.md())return!1;return!1}function oqn(n,t){var e,i,r,c,a,o;if((e=t.qi(n.a))&&null!=(o=mK(Lmn((!e.b&&(e.b=new XR((YYn(),H_t),wBt,e)),e.b),_et))))switch(r=ax(o,$Cn(35)),i=t.qk(),-1==r?(a=jz(n,Hrn(i)),c=o):0==r?(a=null,s3(1,o.length+1),c=o.substr(1)):(Knn(0,r,o.length),a=o.substr(0,r),s3(r+1,o.length+1),c=o.substr(r+1)),sJ(Nen(n,t))){case 2:case 3:return Xfn(n,i,a,c);case 0:case 4:case 5:case 6:return zfn(n,i,a,c)}return null}function uqn(n,t,i,r){var c,a,o,u;for(u=i,o=new Ww(t.a);o.a<o.c.c.length;){if(a=uG(N3(o),225),c=uG(a.b,68),Fgn(n.b.c,c.b.c+c.b.b)<=0&&Fgn(c.b.c,n.b.c+n.b.b)<=0&&Fgn(n.b.d,c.b.d+c.b.a)<=0&&Fgn(c.b.d,n.b.d+n.b.a)<=0){if(0==Fgn(c.b.c,n.b.c+n.b.b)&&r.a<0||0==Fgn(c.b.c+c.b.b,n.b.c)&&r.a>0||0==Fgn(c.b.d,n.b.d+n.b.a)&&r.b<0||0==Fgn(c.b.d+c.b.a,n.b.d)&&r.b>0){u=0;break}}else u=e.Math.min(u,LLn(n,c,r));u=e.Math.min(u,uqn(n,a,u,r))}return u}function sqn(n,t){var e,i,r,c,a,o;if(n.b<2)throw hv(new vM("The vector chain must contain at least a source and a target point."));for(MK(0!=n.b),MN(t,(i=uG(n.a.a.c,8)).a,i.b),o=new Zx((!t.a&&(t.a=new MD(eFt,t,5)),t.a)),c=Fkn(n,1);c.a<n.b-1;)a=uG(I6(c),8),o.e!=o.i.gc()?e=uG(Zkn(o),377):(gj(),Smn(o,e=new ns)),mN(e,a.a,a.b);for(;o.e!=o.i.gc();)Zkn(o),$Sn(o);MK(0!=n.b),yN(t,(r=uG(n.c.b.c,8)).a,r.b)}function hqn(n,t,e,i){var r,c,a,o,u,s;if(s=VKn(n.e.Dh(),t),a=uG(n.g,124),EFn(n.e,t)){if(t.Si()&&(c=Dqn(n,t,i,F$(t,102)&&0!=(uG(t,19).Bb&P0n)))>=0&&c!=e)throw hv(new vM(Xet));for(r=0,u=0;u<n.i;++u)if(o=a[u],s.am(o.Lk())){if(r==e)return uG(Uyn(n,u,(PP(),uG(t,69).xk()?uG(i,76):R5(t,i))),76);++r}throw hv(new dM(Hit+e+Vet+r))}for(u=0;u<n.i;++u)if(o=a[u],s.am(o.Lk()))return PP(),uG(t,69).xk()?o:o.md();return null}function fqn(n,t){var e,i,r,c,a,o,u,s;for(e=0,i=new Ww((u3(0,n.c.length),uG(n.c[0],105)).g.b.j);i.a<i.c.c.length;)uG(N3(i),12).p=e++;for(t==(KQn(),yRt)?f$(n,new nc):f$(n,new tc),a=0,s=n.c.length-1;a<s;)u3(a,n.c.length),c=uG(n.c[a],105),u3(s,n.c.length),u=uG(n.c[s],105),r=t==yRt?c.c:c.a,o=t==yRt?u.a:u.c,hV(c,t,(qhn(),sdt),r),hV(u,t,udt,o),++a,--s;a==s&&hV((u3(a,n.c.length),uG(n.c[a],105)),t,(qhn(),odt),null)}function lqn(n,t,e,i){var r,c,a,o,u,s;for(a=new SVn(n,t,e),u=new N4(i,0),r=!1;u.b<u.d.gc();)MK(u.b<u.d.gc()),(o=uG(u.d.Xb(u.c=u.b++),239))==t||o==e?LQ(u):!r&&uM(oD(o.g,o.d[0]).a)>uM(oD(a.g,a.d[0]).a)?(MK(u.b>0),u.a.Xb(u.c=--u.b),pF(u,a),r=!0):o.e&&o.e.gc()>0&&(c=(!o.e&&(o.e=new Zm),o.e).Mc(t),s=(!o.e&&(o.e=new Zm),o.e).Mc(e),(c||s)&&((!o.e&&(o.e=new Zm),o.e).Fc(a),++a.c));r||mv(i.c,a)}function bqn(n,t,e){var i,r,c,a,o,u,s,h,f,l;return h=n.a.i+n.a.g/2,f=n.a.i+n.a.g/2,a=new MO(t.i+t.g/2,t.j+t.f/2),(u=uG(zDn(t,(XYn(),mDt)),8)).a=u.a+h,u.b=u.b+f,r=(a.b-u.b)/(a.a-u.a),i=a.b-r*a.a,o=new MO(e.i+e.g/2,e.j+e.f/2),(s=uG(zDn(e,mDt),8)).a=s.a+h,s.b=s.b+f,c=(o.b-s.b)/(o.a-s.a),l=(i-(o.b-c*o.a))/(c-r),!(u.a<l&&a.a<l||l<u.a&&l<a.a||s.a<l&&o.a<l||l<s.a&&l<o.a)}function wqn(n,t){var e,i,r,c,a,o;if(!(a=uG(cQ(n.c,t),190)))throw hv(new SM("Edge did not exist in input."));return i=jvn(a),!pE((!t.a&&(t.a=new fV(oFt,t,6,6)),t.a))&&(e=new DU(n,i,o=new Ib),NA((!t.a&&(t.a=new fV(oFt,t,6,6)),t.a),e),nrn(a,yet,o)),vnn(t,(XYn(),L$t))&&!(!(r=uG(zDn(t,L$t),75))||FQ(r))&&(z8(r,new gm(c=new Ib)),nrn(a,"junctionPoints",c)),ZG(a,"container",s0(t).k),null}function dqn(n,t,e,i){var r,c,a,o,u,s;if(!P6(t)){if((s=e.eh((F$(t,16)?uG(t,16).gc():x5(t.Kc()))/n.a|0)).Ug(V9n,1),u=new Ga,o=0,i==(xdn(),JDt)||i==YDt)for(a=t.Kc();a.Ob();)r=uG(a.Pb(),39),u=zcn(Uhn(cT(vat,1),EZn,20,0,[u,new Mp(r)])),o<r.f.a&&(o=r.f.a);else for(a=t.Kc();a.Ob();)r=uG(a.Pb(),39),u=zcn(Uhn(cT(vat,1),EZn,20,0,[u,new Mp(r)])),o<r.f.b&&(o=r.f.b);for(c=t.Kc();c.Ob();)kfn(r=uG(c.Pb(),39),(OQn(),NPt),o);s.Vg(),dqn(n,u,e,i)}}function gqn(n,t,e){var i,r,c,a,o,u;this.a=n,this.b=t,this.c=e,this.e=n7(Uhn(cT(But,1),EZn,177,0,[new ZP(n,t),new ZP(t,e),new ZP(e,n)])),this.f=n7(Uhn(cT(PNt,1),zZn,8,0,[n,t,e])),this.d=(i=YF(D$(this.b),this.a),r=YF(D$(this.c),this.a),c=YF(D$(this.c),this.b),a=i.a*(this.a.a+this.b.a)+i.b*(this.a.b+this.b.b),o=r.a*(this.a.a+this.c.a)+r.b*(this.a.b+this.c.b),u=2*(i.a*c.b-i.b*c.a),new MO((r.b*a-i.b*o)/u,(i.a*o-r.a*a)/u))}function pqn(n,t){var e,i,r,c,a,o;for(c=n.c,a=n.d,c2(n,null),u2(n,null),t&&oM(gK(oIn(a,(GYn(),Gpt))))?c2(n,zUn(a.i,(can(),Wjt),(KQn(),kRt))):c2(n,a),t&&oM(gK(oIn(c,(GYn(),hmt))))?u2(n,zUn(c.i,(can(),Vjt),(KQn(),_Rt))):u2(n,c),i=new Ww(n.b);i.a<i.c.c.length;)e=uG(N3(i),72),(r=uG(oIn(e,(jYn(),Xyt)),278))==(Zrn(),cxt)?kfn(e,Xyt,rxt):r==rxt&&kfn(e,Xyt,cxt);o=oM(gK(oIn(n,(GYn(),pmt)))),kfn(n,pmt,(qx(),!o)),n.a=fln(n.a)}function mqn(n,t){var e,i,r,c;return e=$kn(uG(oIn(t,(QGn(),cCt)),88)),0==n.b.b?null:(c=uG(l8(YJ(new fX(null,new h3(n.b,16)),new Ia),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[(ybn(),Iut)]))),15),i=pK(yx(Wz(YJ((r=uG(l8(JJ(new fX(null,new h3(t.b,16)),new mp(c)),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[Iut]))),15)).Oc(),new vp(e)),(sZ(),sZ(),Yot)))),uG(yx(lln(JJ(r.Oc(),new UI(e,i)))),39))}function vqn(n,t){var i,r,c,a,o,u,s,h,f,l,b;i=jx(new sk,n.f),u=n.i[t.c.i.p],l=n.i[t.d.i.p],o=t.c,f=t.d,a=o.a.b,h=f.a.b,u.b||(a+=o.n.b),l.b||(h+=f.n.b),s=t0(e.Math.max(0,a-h)),c=t0(e.Math.max(0,h-a)),b=e.Math.max(1,uG(oIn(t,(jYn(),uTt)),17).a)*B5(t.c.i.k,t.d.i.k),r=new PI(RKn(xS(DS($S(RS(new uk,b),c),i),uG(cQ(n.k,t.c),125))),RKn(xS(DS($S(RS(new uk,b),s),i),uG(cQ(n.k,t.d),125)))),n.c[t.p]=r}function kqn(n,t,i){var r,c,a,o,u;for(r=0,a=new DD((!n.a&&(n.a=new fV(bFt,n,10,11)),n.a));a.e!=a.i.gc();)o="",0==(!(c=uG(Zkn(a),27)).n&&(c.n=new fV(lFt,c,1,7)),c.n).i||(o=uG(zrn((!c.n&&(c.n=new fV(lFt,c,1,7)),c.n),0),135).a),zsn(u=new E$(o),c),kfn(u,(mon(),Wft),c),u.a=r++,u.d.a=c.i+c.g/2,u.d.b=c.j+c.f/2,u.e.a=e.Math.max(c.g,1),u.e.b=e.Math.max(c.f,1),kD(t.e,u),VAn(i.f,c,u),uG(zDn(c,(cGn(),Lft)),101),$Pn()}function yqn(n,t){var e,i,r,c,a;t.Ug("Layer constraint postprocessing",1),0!=(a=n.b).c.length&&(u3(0,a.c.length),qHn(n,uG(a.c[0],30),uG(zq(a,a.c.length-1),30),e=new bQ(n),r=new bQ(n)),0==e.a.c.length||(o3(0,a.c.length),pC(a.c,0,e)),0==r.a.c.length||mv(a.c,r)),vR(n,(GYn(),Upt))&&(s_n(n,i=new bQ(n),c=new bQ(n)),0==i.a.c.length||(o3(0,a.c.length),pC(a.c,0,i)),0==c.a.c.length||mv(a.c,c)),t.Vg()}function Mqn(n){var t,e;switch(n){case 91:case 93:case 45:case 94:case 44:case 92:e="\\"+String.fromCharCode(n&D1n);break;case 12:e="\\f";break;case 10:e="\\n";break;case 13:e="\\r";break;case 9:e="\\t";break;case 27:e="\\e";break;default:e=n<32?"\\x"+r1(t="0"+(n>>>0).toString(16),t.length-2,t.length):n>=P0n?"\\v"+r1(t="0"+(n>>>0).toString(16),t.length-6,t.length):""+String.fromCharCode(n&D1n)}return e}function Tqn(n){var t,e,i;if(sN(uG(oIn(n,(jYn(),JMt)),101)))for(e=new Ww(n.j);e.a<e.c.c.length;)(t=uG(N3(e),12)).j==(KQn(),FRt)&&((i=uG(oIn(t,(GYn(),lmt)),10))?NLn(t,uG(oIn(i,Fpt),64)):t.e.c.length-t.g.c.length<0?NLn(t,kRt):NLn(t,_Rt));else{for(e=new Ww(n.j);e.a<e.c.c.length;)t=uG(N3(e),12),(i=uG(oIn(t,(GYn(),lmt)),10))?NLn(t,uG(oIn(i,Fpt),64)):t.e.c.length-t.g.c.length<0?NLn(t,(KQn(),kRt)):NLn(t,(KQn(),_Rt));kfn(n,JMt,($Pn(),oRt))}}function jqn(n){var t,e,i,r,c,a;for(this.e=new Zm,this.a=new Zm,e=n.b-1;e<3;e++)sR(n,0,uG(hyn(n,0),8));if(n.b<4)throw hv(new vM("At (least dimension + 1) control points are necessary!"));for(this.b=3,this.d=!0,this.c=!1,yxn(this,n.b+this.b-1),a=new Zm,c=new Ww(this.e),t=0;t<this.b-1;t++)kD(a,pK(N3(c)));for(r=Fkn(n,0);r.b!=r.d.c;)i=uG(I6(r),8),kD(a,pK(N3(c))),kD(this.a,new R1(i,a)),u3(0,a.c.length),a.c.splice(0,1)}function Eqn(n,t){var e,i,r,c,a,o,u;for(r=new Ww(n.b);r.a<r.c.c.length;)for(a=new Ww(uG(N3(r),30).a);a.a<a.c.c.length;)for((c=uG(N3(a),10)).k==(zIn(),bbt)&&(o=uG(N9(new Fz(ix(qgn(c).a.Kc(),new h))),18),u=uG(N9(new Fz(ix(Xgn(c).a.Kc(),new h))),18),Gqn(c,oM(gK(oIn(o,(GYn(),pmt))))&&oM(gK(oIn(u,pmt)))?ufn(t):t)),i=new Fz(ix(Xgn(c).a.Kc(),new h));hDn(i);)Nhn(e=uG(N9(i),18),oM(gK(oIn(e,(GYn(),pmt))))?ufn(t):t)}function Sqn(n,t,e,i,r){var c,a;if(e.f>=t.o&&e.f<=t.f||.5*t.a<=e.f&&1.5*t.a>=e.f){if((c=uG(zq(t.n,t.n.c.length-1),209)).e+c.d+e.g+r<=i&&(uG(zq(t.n,t.n.c.length-1),209).f-n.f+e.f<=n.b||1==n.a.c.length))return ipn(t,e),!0;if(t.s+e.g<=i&&(t.t+t.d+e.f+r<=n.b||1==n.a.c.length))return kD(t.b,e),a=uG(zq(t.n,t.n.c.length-1),209),kD(t.n,new c0(t.s,a.f+a.a+t.i,t.i)),zMn(uG(zq(t.n,t.n.c.length-1),209),e),nqn(t,e),!0}return!1}function Pqn(n,t,e){var i,r,c,a;return n.Pj()?(r=null,c=n.Qj(),i=n.Ij(1,a=iin(n,t,e),e,t,c),n.Mj()&&!(n.Yi()&&null!=a?udn(a,e):xA(a)===xA(e))?(null!=a&&(r=n.Oj(a,r)),r=n.Nj(e,r),n.Tj()&&(r=n.Wj(a,e,r)),r?(r.nj(i),r.oj()):n.Jj(i)):(n.Tj()&&(r=n.Wj(a,e,r)),r?(r.nj(i),r.oj()):n.Jj(i)),a):(a=iin(n,t,e),n.Mj()&&!(n.Yi()&&null!=a?udn(a,e):xA(a)===xA(e))&&(r=null,null!=a&&(r=n.Oj(a,null)),(r=n.Nj(e,r))&&r.oj()),a)}function Cqn(n,t){var e,i,r,c;if(t.Ug("Path-Like Graph Wrapping",1),0!=n.b.c.length)if(null==(r=new dDn(n)).i&&(r.i=aun(r,new pc)),e=uM(r.i)*r.f/(null==r.i&&(r.i=aun(r,new pc)),uM(r.i)),r.b>e)t.Vg();else{switch(uG(oIn(n,(jYn(),BTt)),351).g){case 2:c=new kc;break;case 0:c=new hc;break;default:c=new yc}if(i=c.og(n,r),!c.pg())switch(uG(oIn(n,zTt),352).g){case 2:i=KLn(r,i);break;case 1:i=pPn(r,i)}yzn(n,r,i),t.Vg()}else t.Vg()}function Iqn(n,t){var i,r,c,a,o,u,s;t%=24,n.q.getHours()!=t&&((i=new e.Date(n.q.getTime())).setDate(i.getDate()+1),(o=n.q.getTimezoneOffset()-i.getTimezoneOffset())>0&&(u=o/60|0,s=o%60,r=n.q.getDate(),n.q.getHours()+u>=24&&++r,c=new e.Date(n.q.getFullYear(),n.q.getMonth(),r,t+u,n.q.getMinutes()+s,n.q.getSeconds(),n.q.getMilliseconds()),n.q.setTime(c.getTime()))),a=n.q.getTime(),n.q.setTime(a+36e5),n.q.getHours()!=t&&n.q.setTime(a)}function Oqn(n,t){var e,i,r,c;if(a3(n.d,n.e),n.c.a.$b(),0!=uM(pK(oIn(t.j,(jYn(),yyt))))||0!=uM(pK(oIn(t.j,yyt))))for(e=B3n,xA(oIn(t.j,Syt))!==xA((yvn(),Fjt))&&kfn(t.j,(GYn(),Bpt),(qx(),!0)),c=uG(oIn(t.j,OTt),17).a,r=0;r<c&&!((i=eXn(n,t))<e&&(e=i,Uon(n),0==e));r++);else for(e=vZn,xA(oIn(t.j,Syt))!==xA((yvn(),Fjt))&&kfn(t.j,(GYn(),Bpt),(qx(),!0)),c=uG(oIn(t.j,OTt),17).a,r=0;r<c&&!((i=iXn(n,t))<e&&(e=i,Uon(n),0==e));r++);}function Aqn(n,t){var e,i,r,c,a,o;for(r=new Zm,c=0,e=0,a=0;c<t.c.length-1&&e<n.gc();){for(i=uG(n.Xb(e),17).a+a;(u3(c+1,t.c.length),uG(t.c[c+1],17)).a<i;)++c;for(o=0,i-(u3(c,t.c.length),uG(t.c[c],17)).a>(u3(c+1,t.c.length),uG(t.c[c+1],17)).a-i&&++o,kD(r,(u3(c+o,t.c.length),uG(t.c[c+o],17))),a+=(u3(c+o,t.c.length),uG(t.c[c+o],17)).a-i,++e;e<n.gc()&&uG(n.Xb(e),17).a+a<=(u3(c+o,t.c.length),uG(t.c[c+o],17)).a;)++e;c+=1+o}return r}function Lqn(n,t){var e,i,r,c,a;for(a=new Fz(ix(qgn(t).a.Kc(),new h));hDn(a);)if(c=uG(N9(a),18),0==n.f.b?(r=c.c.i.k==(zIn(),dbt)&&!!c.c.i.c&&c.c.i.c.p==n.c,hDn(new Fz(ix(qgn(c.c.i).a.Kc(),new h)))?(e=uG(N9(new Fz(ix(qgn(c.c.i).a.Kc(),new h))),18).c.i.c,i=c.c.i.k==bbt&&!!e&&e.p==n.c):i=!1):(r=c.c.i.k==(zIn(),dbt)&&c.c.i.p==n.c,i=c.c.i.k==bbt&&uG(N9(new Fz(ix(qgn(c.c.i).a.Kc(),new h))),18).c.i.p==n.c),r||i)return!0;return!1}function Nqn(n,t,i,r,c){var a,o,u,s,h,f,l,b,w,d,g,p,m,v;for(l=new Zm,p=g8(r),g=t*n.a,w=0,a=new ek,o=new ek,u=new Zm,m=0,v=0,b=0,d=0,h=0,f=0;0!=p.a.gc();)(s=ygn(p,c,o))&&(p.a.Bc(s),mv(u.c,s),a.a.zc(s,a),w=n.f[s.p],m+=n.e[s.p]-w*n.b,v+=n.c[s.p]*n.b,f+=w*n.b,d+=n.e[s.p]),(!s||0==p.a.gc()||m>=g&&n.e[s.p]>w*n.b||v>=i*g)&&(mv(l.c,u),u=new Zm,Qon(o,a),a.a.$b(),h-=f,b=e.Math.max(b,h*n.b+d),h+=v,m=v,v=0,f=0,d=0);return new WO(b,l)}function $qn(n){var t,e,i,r,c;if(!n.d){if(c=new js,null==(t=V_t).a.zc(n,t)){for(e=new DD(n1(n));e.e!=e.i.gc();)CW(c,$qn(uG(Zkn(e),29)));t.a.Bc(n),t.a.gc()}for(r=c.i,!n.q&&(n.q=new fV(p_t,n,11,10)),i=new DD(n.q);i.e!=i.i.gc();++r)uG(Zkn(i),411);CW(c,(!n.q&&(n.q=new fV(p_t,n,11,10)),n.q)),lbn(c),n.d=new vL((uG(zrn(gZ((tQ(),M_t).o),9),19),c.i),c.g),n.e=uG(c.g,688),null==n.e&&(n.e=W_t),y9(n).b&=-17}return n.d}function Dqn(n,t,e,i){var r,c,a,o,u,s;if(s=VKn(n.e.Dh(),t),u=0,r=uG(n.g,124),PP(),uG(t,69).xk()){for(a=0;a<n.i;++a)if(c=r[a],s.am(c.Lk())){if(udn(c,e))return u;++u}}else if(null!=e){for(o=0;o<n.i;++o)if(c=r[o],s.am(c.Lk())){if(udn(e,c.md()))return u;++u}if(i)for(u=0,a=0;a<n.i;++a)if(c=r[a],s.am(c.Lk())){if(xA(e)===xA(fK(n,uG(c.md(),58))))return u;++u}}else for(a=0;a<n.i;++a)if(c=r[a],s.am(c.Lk())){if(null==c.md())return u;++u}return-1}function xqn(n,t,e,i){var r,c,a,o,u,s,h,f,l,b,w,d;if(e.Xh(t)&&(h=(b=t)?uG(i,54).gi(b):null))if(d=e.Nh(t,n.a),(w=t.t)>1||-1==w)if(f=uG(d,71),l=uG(h,71),f.dc())l.$b();else for(a=!!lMn(t),c=0,o=n.a?f.Kc():f.Ii();o.Ob();)s=uG(o.Pb(),58),(r=uG(ain(n,s),58))?(a?-1==(u=l.dd(r))?l.Gi(c,r):c!=u&&l.Ui(c,r):l.Gi(c,r),++c):n.b&&!a&&(l.Gi(c,s),++c);else null==d?h.Wb(null):null==(r=ain(n,d))?n.b&&!lMn(t)&&h.Wb(d):h.Wb(r)}function Rqn(n,t){var i,r,c,a,o,u,s,f;for(i=new Ne,c=new Fz(ix(qgn(t).a.Kc(),new h));hDn(c);)if(!v9(r=uG(N9(c),18))&&_Pn(u=r.c.i,$bt)){if(-1==(f=U_n(n,u,$bt,Nbt)))continue;i.b=e.Math.max(i.b,f),!i.a&&(i.a=new Zm),kD(i.a,u)}for(o=new Fz(ix(Xgn(t).a.Kc(),new h));hDn(o);)if(!v9(a=uG(N9(o),18))&&_Pn(s=a.d.i,Nbt)){if(-1==(f=U_n(n,s,Nbt,$bt)))continue;i.d=e.Math.max(i.d,f),!i.c&&(i.c=new Zm),kD(i.c,s)}return i}function Kqn(n,t,e,i){var r,c,a,o,u,s,h;if(e.d.i!=t.i){for(Hb(r=new gMn(n),(zIn(),wbt)),kfn(r,(GYn(),rmt),e),kfn(r,(jYn(),JMt),($Pn(),cRt)),mv(i.c,r),o2(a=new lOn,r),NLn(a,(KQn(),_Rt)),o2(o=new lOn,r),NLn(o,kRt),h=e.d,u2(e,a),zsn(c=new UZ,e),kfn(c,bMt,null),c2(c,o),u2(c,h),s=new N4(e.b,0);s.b<s.d.gc();)MK(s.b<s.d.gc()),xA(oIn(u=uG(s.d.Xb(s.c=s.b++),72),Xyt))===xA((Zrn(),rxt))&&(kfn(u,Dpt,e),LQ(s),kD(c.b,u));wDn(r,a,o)}}function Fqn(n,t,e,i){var r,c,a,o,u,s;if(e.c.i!=t.i)for(Hb(r=new gMn(n),(zIn(),wbt)),kfn(r,(GYn(),rmt),e),kfn(r,(jYn(),JMt),($Pn(),cRt)),mv(i.c,r),o2(a=new lOn,r),NLn(a,(KQn(),_Rt)),o2(o=new lOn,r),NLn(o,kRt),u2(e,a),zsn(c=new UZ,e),kfn(c,bMt,null),c2(c,o),u2(c,t),wDn(r,a,o),s=new N4(e.b,0);s.b<s.d.gc();)MK(s.b<s.d.gc()),u=uG(s.d.Xb(s.c=s.b++),72),uG(oIn(u,Xyt),278)==(Zrn(),rxt)&&(vR(u,Dpt)||kfn(u,Dpt,e),LQ(s),kD(c.b,u))}function _qn(n){var t,e,i,r;if(b_n(),t=t0(n),n<qot.length)return qot[t];if(n<=50)return t$n((cHn(),Kot),t);if(n<=$1n)return D9(t$n(Got[1],t),t);if(n>1e6)throw hv(new wM("power of ten too big"));if(n<=vZn)return D9(t$n(Got[1],t),t);for(r=i=t$n(Got[1],vZn),e=Bsn(n-vZn),t=t0(n%vZn);dwn(e,vZn)>0;)r=j5(r,i),e=$gn(e,vZn);for(r=D9(r=j5(r,t$n(Got[1],t)),vZn),e=Bsn(n-vZn);dwn(e,vZn)>0;)r=D9(r,vZn),e=$gn(e,vZn);return r=D9(r,t)}function Bqn(n){var t,e,i,r,c,a,o,u;for(a=new Ww(n.a);a.a<a.c.c.length;)if((c=uG(N3(a),10)).k==(zIn(),lbt)&&((r=uG(oIn(c,(GYn(),Fpt)),64))==(KQn(),kRt)||r==_Rt))for(i=new Fz(ix(Ggn(c).a.Kc(),new h));hDn(i);)0!=(t=(e=uG(N9(i),18)).a).b&&((o=e.c).i==c&&(MK(0!=t.b),uG(t.a.a.c,8).b=Gfn(Uhn(cT(PNt,1),zZn,8,0,[o.i.n,o.n,o.a])).b),(u=e.d).i==c&&(MK(0!=t.b),uG(t.c.b.c,8).b=Gfn(Uhn(cT(PNt,1),zZn,8,0,[u.i.n,u.n,u.a])).b))}function Hqn(n,t,i,r){var c,a,o;if(this.j=new Zm,this.k=new Zm,this.b=new Zm,this.c=new Zm,this.e=new cN,this.i=new Uk,this.f=new nv,this.d=new Zm,this.g=new Zm,kD(this.b,n),kD(this.b,t),this.e.c=e.Math.min(n.a,t.a),this.e.d=e.Math.min(n.b,t.b),this.e.b=e.Math.abs(n.a-t.a),this.e.a=e.Math.abs(n.b-t.b),c=uG(oIn(r,(jYn(),bMt)),75))for(o=Fkn(c,0);o.b!=o.d.c;)gcn((a=uG(I6(o),8)).a,n.a)&&aq(this.i,a);i&&kD(this.j,i),kD(this.k,r)}function Uqn(n,t,e,i){var r,c,a,o,u,s,h;for(o=-1,h=new Ww(n);h.a<h.c.c.length;)(s=uG(N3(h),118)).g=o--,a=r=pz(t6(nY(JJ(new fX(null,new h3(s.f,16)),new ua),new sa)).d),u=c=pz(t6(nY(JJ(new fX(null,new h3(s.k,16)),new ha),new fa)).d),i||(a=pz(t6(nY(new fX(null,new h3(s.f,16)),new la)).d),u=pz(t6(nY(new fX(null,new h3(s.k,16)),new aa)).d)),s.d=a,s.a=r,s.i=u,s.b=c,0==u?s8(e,s,e.c.b,e.c):0==a&&s8(t,s,t.c.b,t.c)}function Gqn(n,t){var i,r,c,a,o;if(n.k==(zIn(),bbt)&&(i=n.k!=bbt||Qj(JJ(uG(oIn(n,(GYn(),gmt)),15).Oc(),new hd(new _t))).Bd((vS(),Kut))?t:(Ajn(),xxt),kfn(n,(GYn(),Qpt),i),i!=(Ajn(),Dxt)))for(r=uG(oIn(n,rmt),18),o=uM(pK(oIn(r,(jYn(),tMt)))),a=0,i==$xt?a=n.o.b-e.Math.ceil(o/2):i==xxt&&(a=e.Math.ceil(n.o.b-uM(pK(oIn(HQ(n),pTt)))-o)/2,n.o.b-=uM(pK(oIn(HQ(n),pTt))),n.o.b-=o),c=new Ww(n.j);c.a<c.c.c.length;)uG(N3(c),12).n.b=a}function qqn(n,t,e){var i,r,c,a,o,u,s,h,f;for(r=!0,a=new Ww(n.b);a.a<a.c.c.length;){for(c=uG(N3(a),30),s=T0n,h=null,u=new Ww(c.a);u.a<u.c.c.length;){if(o=uG(N3(u),10),f=uM(t.p[o.p])+uM(t.d[o.p])-o.d.d,i=uM(t.p[o.p])+uM(t.d[o.p])+o.o.b+o.d.a,!(f>s&&i>s)){r=!1,e._g()&&e.bh("bk node placement breaks on "+o+" which should have been after "+h);break}h=o,s=uM(t.p[o.p])+uM(t.d[o.p])+o.o.b+o.d.a}if(!r)break}return e._g()&&e.bh(t+" is feasible: "+r),r}function Xqn(n,t,e,i){var r,c,a,o,u,s,h;if(Hb(c=new gMn(n),(zIn(),gbt)),kfn(c,(jYn(),JMt),($Pn(),cRt)),r=0,t){for(kfn(a=new lOn,(GYn(),rmt),t),kfn(c,rmt,t.i),NLn(a,(KQn(),_Rt)),o2(a,c),s=0,h=(u=x4(t.e)).length;s<h;++s)u2(u[s],a);kfn(t,lmt,c),++r}if(e){for(o=new lOn,kfn(c,(GYn(),rmt),e.i),kfn(o,rmt,e),NLn(o,(KQn(),kRt)),o2(o,c),s=0,h=(u=x4(e.g)).length;s<h;++s)c2(u[s],o);kfn(e,lmt,c),++r}return kfn(c,(GYn(),Opt),xwn(r)),mv(i.c,c),c}function zqn(n){var t,e,i,r,c,a,o,u,s,h,f,l;for(e=new _w(new Fw(n.c.b).a.vc().Kc());e.a.Ob();)o=uG(e.a.Pb(),44),null==(r=(t=uG(o.md(),143)).a)&&(r=""),!(i=UK(n.c,r))&&0==r.length&&(i=Qwn(n)),i&&!Wpn(i.c,t,!1)&&aq(i.c,t);for(a=Fkn(n.a,0);a.b!=a.d.c;)c=uG(I6(a),486),s=C9(n.c,c.a),l=C9(n.c,c.b),s&&l&&aq(s.c,new WO(l,c.c));for(BY(n.a),f=Fkn(n.b,0);f.b!=f.d.c;)h=uG(I6(f),486),t=HK(n.c,h.a),u=C9(n.c,h.b),t&&u&&cP(t,u,h.c);BY(n.b)}function Vqn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b;c=new Cb(n),n9((a=new 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Ww(e.j);r.a<r.c.c.length;)for(o=0,u=(a=x4(uG(N3(r),12).g)).length;o<u;++o)(c=a[o]).d.i==e&&oM(gK(oIn(c,hMt)))&&(h=c.c,(s=uG(cQ(n.b,h),10))||(kfn(s=DJn(h,($Pn(),uRt),h.j,-1,null,null,h.o,uG(oIn(t,Byt),88),t),(GYn(),rmt),h),vJ(n.b,h,s),kD(t.a,s)),l=c.d,(f=uG(cQ(n.b,l),10))||(kfn(f=DJn(l,($Pn(),uRt),l.j,1,null,null,l.o,uG(oIn(t,Byt),88),t),(GYn(),rmt),l),vJ(n.b,l,f),kD(t.a,f)),c2(i=K9(c),uG(zq(s.j,0),12)),u2(i,uG(zq(f.j,0),12)),UNn(n.a,c,new $B(i,t,(can(),Wjt))),uG(oIn(t,(GYn(),Hpt)),21).Fc((r_n(),tpt)))}function HVn(n,t){var e,i,r,c,a,o,u,s,h,f;for(i=new Ww(n.a.b);i.a<i.c.c.length;)for(o=new Ww(uG(N3(i),30).a);o.a<o.c.c.length;)a=uG(N3(o),10),t.j[a.p]=a,t.i[a.p]=t.o==(w0(),dSt)?T0n:M0n;for($V(n.c),c=n.a.b,t.c==(b0(),hSt)&&(c=Spn(c)),_4(n.e,t,n.b),FP(t.p,null),r=c.Kc();r.Ob();)for(u=uG(r.Pb(),30).a,t.o==(w0(),dSt)&&(u=Spn(u)),f=u.Kc();f.Ob();)h=uG(f.Pb(),10),t.g[h.p]==h&&IJn(n,h,t);for(cVn(n,t),e=c.Kc();e.Ob();)for(f=new 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e,i,r,c,a,o,u,s,h;if(null!=(s=t).b&&null!=n.b){for(pxn(n),szn(n),pxn(s),szn(s),e=Inn(YHt,W1n,28,n.b.length+s.b.length,15,1),h=0,i=0,a=0;i<n.b.length&&a<s.b.length;)if(r=n.b[i],c=n.b[i+1],o=s.b[a],u=s.b[a+1],c<o)i+=2;else if(c>=o&&r<=u)o<=r&&c<=u?(e[h++]=r,e[h++]=c,i+=2):o<=r?(e[h++]=r,e[h++]=u,n.b[i]=u+1,a+=2):c<=u?(e[h++]=o,e[h++]=c,i+=2):(e[h++]=o,e[h++]=u,n.b[i]=u+1);else{if(!(u<r))throw hv(new Ky("Token#intersectRanges(): Internal Error: ["+n.b[i]+","+n.b[i+1]+"] & ["+s.b[a]+","+s.b[a+1]+"]"));a+=2}for(;i<n.b.length;)e[h++]=n.b[i++],e[h++]=n.b[i++];n.b=Inn(YHt,W1n,28,h,15,1),qGn(e,0,n.b,0,h)}}function qVn(n){var t,i,r,c,a,o,u;for(t=new Zm,n.g=new Zm,n.d=new Zm,o=new bsn(new Nw(n.f.b).a);o.b;)kD(t,uG(uG((a=von(o)).md(),42).b,86)),hN(uG(a.ld(),602).Af())?kD(n.d,uG(a.md(),42)):kD(n.g,uG(a.md(),42));for(Npn(n,n.d),Npn(n,n.g),n.c=new i$n(n.b),ST(n.c,(HS(),Olt)),agn(n,n.d),agn(n,n.g),Ohn(t,n.c.a.b),n.e=new MO(M0n,M0n),n.a=new MO(T0n,T0n),r=new Ww(t);r.a<r.c.c.length;)i=uG(N3(r),86),n.e.a=e.Math.min(n.e.a,i.g.c),n.e.b=e.Math.min(n.e.b,i.g.d),n.a.a=e.Math.max(n.a.a,i.g.c+i.g.b),n.a.b=e.Math.max(n.a.b,i.g.d+i.g.a);ET(n.c,new kt),u=0;do{c=_Vn(n),++u}while((u<2||c>T1n)&&u<10);ET(n.c,new yt),_Vn(n),YV(n.c),lVn(n.f)}function XVn(n,t){var i,r,c,a,o,u,s,h,f,l,b,w,d,g;for(i=uG(oIn(n,(jYn(),JMt)),101),o=n.f,a=n.d,u=o.a+a.b+a.c,s=0-a.d-n.c.b,f=o.b+a.d+a.a-n.c.b,h=new Zm,l=new Zm,c=new Ww(t);c.a<c.c.c.length;){switch(r=uG(N3(c),10),i.g){case 1:case 2:case 3:OKn(r);break;case 4:w=(b=uG(oIn(r,WMt),8))?b.a:0,r.n.a=u*uM(pK(oIn(r,(GYn(),bmt))))-w,fhn(r,!0,!1);break;case 5:g=(d=uG(oIn(r,WMt),8))?d.a:0,r.n.a=uM(pK(oIn(r,(GYn(),bmt))))-g,fhn(r,!0,!1),o.a=e.Math.max(o.a,r.n.a+r.o.a/2)}switch(uG(oIn(r,(GYn(),Fpt)),64).g){case 1:r.n.b=s,mv(h.c,r);break;case 3:r.n.b=f,mv(l.c,r)}}switch(i.g){case 1:case 2:adn(h,n),adn(l,n);break;case 3:odn(h,n),odn(l,n)}}function zVn(n,t){var e,i,r,c,a,o,u,s,h,f,l;switch(n.k.g){case 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e,i,r,c,a,o,u,s,f;for(o=!0,r=0,u=n.g[t.p],s=t.o.b+n.o,e=n.d[t.p][2],Y8(n.b,u,xwn(uG(zq(n.b,u),17).a-1+e)),Y8(n.c,u,uM(pK(zq(n.c,u)))-s+e*n.f),++u>=n.j?(++n.j,kD(n.b,xwn(1)),kD(n.c,s)):(i=n.d[t.p][1],Y8(n.b,u,xwn(uG(zq(n.b,u),17).a+1-i)),Y8(n.c,u,uM(pK(zq(n.c,u)))+s-i*n.f)),(n.r==(THn(),Ijt)&&(uG(zq(n.b,u),17).a>n.k||uG(zq(n.b,u-1),17).a>n.k)||n.r==Ljt&&(uM(pK(zq(n.c,u)))>n.n||uM(pK(zq(n.c,u-1)))>n.n))&&(o=!1),c=new Fz(ix(qgn(t).a.Kc(),new h));hDn(c);)a=uG(N9(c),18).c.i,n.g[a.p]==u&&(r+=uG((f=QVn(n,a)).a,17).a,o=o&&oM(gK(f.b)));return n.g[t.p]=u,new WO(xwn(r+=n.d[t.p][0]),(qx(),!!o))}function JVn(n,t){var e,i;uM(pK(oIn(t,(jYn(),dTt))))<2&&kfn(t,dTt,2),uG(oIn(t,Byt),88)==(xdn(),ZDt)&&kfn(t,Byt,pgn(t)),0==(e=uG(oIn(t,sTt),17)).a?kfn(t,(GYn(),dmt),new Upn):kfn(t,(GYn(),dmt),new v8(e.a)),null==gK(oIn(t,OMt))&&kfn(t,OMt,(qx(),xA(oIn(t,Vyt))===xA((_gn(),uxt)))),kS(new fX(null,new h3(t.a,16)),new Hd(n)),kS(sin(new fX(null,new h3(t.b,16)),new dt),new Ud(n)),i=new 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r,c,a,o,u,s,h,f,l,b,w,d,g,p,m;if(g=n.n,p=n.o,b=n.d,l=uM(pK(Omn(n,(jYn(),lTt)))),t){for(f=l*(t.gc()-1),w=0,s=t.Kc();s.Ob();)f+=(o=uG(s.Pb(),10)).o.a,w=e.Math.max(w,o.o.b);for(m=g.a-(f-p.a)/2,a=g.b-b.d+w,c=r=p.a/(t.gc()+1),u=t.Kc();u.Ob();)(o=uG(u.Pb(),10)).n.a=m,o.n.b=a-o.o.b,m+=o.o.a+l,(h=ERn(o)).n.a=o.o.a/2-h.a.a,h.n.b=o.o.b,(d=uG(oIn(o,(GYn(),Ppt)),12)).e.c.length+d.g.c.length==1&&(d.n.a=c-d.a.a,d.n.b=0,o2(d,n)),c+=r}if(i){for(f=l*(i.gc()-1),w=0,s=i.Kc();s.Ob();)f+=(o=uG(s.Pb(),10)).o.a,w=e.Math.max(w,o.o.b);for(m=g.a-(f-p.a)/2,a=g.b+p.b+b.a-w,c=r=p.a/(i.gc()+1),u=i.Kc();u.Ob();)(o=uG(u.Pb(),10)).n.a=m,o.n.b=a,m+=o.o.a+l,(h=ERn(o)).n.a=o.o.a/2-h.a.a,h.n.b=0,(d=uG(oIn(o,(GYn(),Ppt)),12)).e.c.length+d.g.c.length==1&&(d.n.a=c-d.a.a,d.n.b=p.b,o2(d,n)),c+=r}}function gQn(n,t){var i,r,c,a,o,u;if(uG(oIn(t,(GYn(),Hpt)),21).Hc((r_n(),tpt))){for(u=new 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MO(i.g,i.f),uG(oIn(e,Byt),88),e),(GYn(),rmt),i),Ub(c=uG(zq(r.j,0),12),IUn(i)),kfn(r,nTt,(eNn(),ggn(gRt))),h=uG(zDn(t,nTt),181).Hc(wRt),o=new DD((!i.n&&(i.n=new fV(lFt,i,1,7)),i.n));o.e!=o.i.gc();)if(!oM(gK(zDn(a=uG(Zkn(o),135),FMt)))&&a.a&&(f=own(a),kD(c.f,f),!h))switch(s=0,cV(uG(zDn(t,nTt),21))&&(s=jNn(new MO(a.i,a.j),new MO(a.g,a.f),new MO(i.g,i.f),0,d)),d.g){case 2:case 4:f.o.a=s;break;case 1:case 3:f.o.b=s}kfn(r,TTt,pK(zDn(R0(t),TTt))),kfn(r,jTt,pK(zDn(R0(t),jTt))),kfn(r,yTt,pK(zDn(R0(t),yTt))),kD(e.a,r),vJ(n.a,i,r)}function mQn(n,t,e,i,r,c){var a,o,u,s,h,f;for(zsn(s=new lOn,t),NLn(s,uG(zDn(t,(jYn(),eTt)),64)),kfn(s,(GYn(),rmt),t),o2(s,e),(f=s.o).a=t.g,f.b=t.f,(h=s.n).a=t.i,h.b=t.j,vJ(n.a,t,s),(a=o9(YJ(sin(new fX(null,(!t.e&&(t.e=new f_(aFt,t,7,4)),new h3(t.e,16))),new Wt),new zt),new Zd(t)))||(a=o9(YJ(sin(new fX(null,(!t.d&&(t.d=new f_(aFt,t,8,5)),new h3(t.d,16))),new Qt),new Vt),new ng(t))),a||(a=o9(new fX(null,(!t.e&&(t.e=new f_(aFt,t,7,4)),new h3(t.e,16))),new 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Fz(ix(eRn(uG(Zkn(y),27)).a.Kc(),new h));hDn(l);)z$n(f=uG(N9(l),74))||fYn(f,t,T,M);ZQn(n,T+=c.b+c.c,M+=c.d+c.a,!1,!0)}function kQn(n){var t;if(this.r=tY(new Sn,new Pn),this.b=new rpn(uG(WW(YRt),296)),this.p=new rpn(uG(WW(YRt),296)),this.i=new rpn(uG(WW(mht),296)),this.e=n,this.o=new eN(n.Mf()),this.D=n.Yf()||oM(gK(n.of((XYn(),C$t)))),this.A=uG(n.of((XYn(),_$t)),21),this.B=uG(n.of(q$t),21),this.q=uG(n.of(sDt),101),this.u=uG(n.of(bDt),21),!eIn(this.u))throw hv(new jM("Invalid port label placement: "+this.u));if(this.v=oM(gK(n.of(dDt))),this.j=uG(n.of(K$t),21),!zxn(this.j))throw hv(new jM("Invalid node label placement: "+this.j));this.n=uG(Rjn(n,x$t),107),this.k=uM(pK(Rjn(n,LDt))),this.d=uM(pK(Rjn(n,ADt))),this.w=uM(pK(Rjn(n,FDt))),this.s=uM(pK(Rjn(n,NDt))),this.t=uM(pK(Rjn(n,$Dt))),this.C=uG(Rjn(n,RDt),140),this.c=2*this.d,t=!this.B.Hc((oUn(),nKt)),this.f=new tkn(0,t,0),this.g=new tkn(1,t,0),nM(this.f,(Yrn(),Est),this.g)}function yQn(n,t){var e,i,r,c,a,o,u,s,h,f,l,b,w,d,g;for(t.Ug("Comment pre-processing",1),e=0,u=new Ww(n.a);u.a<u.c.c.length;)if(oM(gK(oIn(o=uG(N3(u),10),(jYn(),gyt))))){for(++e,r=0,i=null,s=null,w=new Ww(o.j);w.a<w.c.c.length;)r+=(l=uG(N3(w),12)).e.c.length+l.g.c.length,1==l.e.c.length&&(s=(i=uG(zq(l.e,0),18)).c),1==l.g.c.length&&(s=(i=uG(zq(l.g,0),18)).d);if(1!=r||s.e.c.length+s.g.c.length!=1||oM(gK(oIn(s.i,gyt)))){for(g=new Zm,b=new Ww(o.j);b.a<b.c.c.length;){for(f=new Ww((l=uG(N3(b),12)).g);f.a<f.c.c.length;)0==(h=uG(N3(f),18)).d.g.c.length||mv(g.c,h);for(a=new Ww(l.e);a.a<a.c.c.length;)0==(c=uG(N3(a),18)).c.e.c.length||mv(g.c,c)}for(d=new Ww(g);d.a<d.c.c.length;)pqn(uG(N3(d),18),!0)}else TJn(o,i,s,s.i),tW(u)}t._g()&&t.bh("Found "+e+" comment boxes"),t.Vg()}function MQn(n,t){var e,i,r,c,a,o,u;if(GG(),this.a=new U$(this),this.b=n,this.c=t,this.f=ZV(Nen((gAn(),kBt),t)),this.f.dc())if((o=cSn(kBt,n))==t)for(this.e=!0,this.d=new Zm,this.f=new 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2:etn(t,(Ktn(),Ast)),i.c=c.a+r.c+e,uG(uG(zq(t.d,0),187).of((GYn(),Qpt)),290)==(Ajn(),$xt)?(eF(t,(Yen(),Rst)),i.d=a.b-uM(pK(oIn(n,emt)))-e-i.a):(eF(t,(Yen(),Fst)),i.d=a.b+uM(pK(oIn(n,emt)))+e);break;case 3:eF(t,(Yen(),Fst)),i.d=c.b+r.a+e,uG(uG(zq(t.d,0),187).of((GYn(),Qpt)),290)==(Ajn(),$xt)?(etn(t,(Ktn(),Lst)),i.c=a.a-uM(pK(oIn(n,emt)))-e-i.b):(etn(t,(Ktn(),Ast)),i.c=a.a+uM(pK(oIn(n,emt)))+e);break;case 4:etn(t,(Ktn(),Lst)),i.c=-r.b-e-i.b,uG(uG(zq(t.d,0),187).of((GYn(),Qpt)),290)==(Ajn(),$xt)?(eF(t,(Yen(),Rst)),i.d=a.b-uM(pK(oIn(n,emt)))-e-i.a):(eF(t,(Yen(),Fst)),i.d=a.b+uM(pK(oIn(n,emt)))+e)}}function oJn(n,t,i){var r,c,a,o,u,s,h,f,l,b,w,d,g;for(i.Ug($7n,1),!t.a&&(t.a=new fV(bFt,t,10,11)),r=uM(pK(zDn(t,(S_n(),VOt)))),f=uM(pK(zDn(t,bAt))),b=uG(zDn(t,hAt),107),a=kYn(w=new vO(r,f),t,b),Irn(t,w),u=uG(zDn(t,oAt),17).a;u>1;){if(c=nKn(t),l=a.g,d=uG(zDn(t,hAt),107),g=uM(pK(zDn(t,VOt))),(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a).i>1&&uM(pK(zDn(t,(lBn(),jOt))))!=M0n&&(a.c+(d.b+d.c))/(a.b+(d.d+d.a))<g?Myn(c,(lBn(),POt),uM(pK(zDn(t,POt)))+uM(pK(zDn(t,jOt)))):(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a).i>1&&uM(pK(zDn(t,(lBn(),TOt))))!=M0n&&(a.c+(d.b+d.c))/(a.b+(d.d+d.a))>g&&Myn(c,(lBn(),POt),e.Math.max(uM(pK(zDn(t,EOt))),uM(pK(zDn(c,POt)))-uM(pK(zDn(t,TOt))))),(h=(s=kYn(w=new vO(r,f),c,b)).g)>=l&&h==h){for(o=0;o<(!c.a&&(c.a=new fV(bFt,c,10,11)),c.a).i;o++)mNn(n,uG(zrn((!c.a&&(c.a=new fV(bFt,c,10,11)),c.a),o),27),uG(zrn((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a),o),27));Irn(t,w),x1(a,s.c),D1(a,s.b)}--u}Myn(t,(lBn(),mOt),a.b),Myn(t,vOt,a.c),i.Vg()}function uJn(n,t){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v;for(t.Ug("Interactive node layering",1),i=new Zm,b=new Ww(n.a);b.a<b.c.c.length;){for(u=(s=(f=uG(N3(b),10)).n.a)+f.o.a,u=e.Math.max(s+1,u),v=new N4(i,0),r=null;v.b<v.d.gc();){if(MK(v.b<v.d.gc()),(p=uG(v.d.Xb(v.c=v.b++),578)).c>=u){MK(v.b>0),v.a.Xb(v.c=--v.b);break}p.a>s&&(r?(Ohn(r.b,p.b),r.a=e.Math.max(r.a,p.a),LQ(v)):(kD(p.b,f),p.c=e.Math.min(p.c,s),p.a=e.Math.max(p.a,u),r=p))}r||((r=new Mk).c=s,r.a=u,pF(v,r),kD(r.b,f))}for(o=n.b,h=0,m=new Ww(i);m.a<m.c.c.length;)for(p=uG(N3(m),578),(c=new bQ(n)).p=h++,mv(o.c,c),w=new Ww(p.b);w.a<w.c.c.length;)a2(f=uG(N3(w),10),c),f.p=0;for(l=new Ww(n.a);l.a<l.c.c.length;)if(0==(f=uG(N3(l),10)).p)for(g=sBn(f,n);0!=g.a.gc();)d=uG(g.a.ec().Kc().Pb(),10),g.a.Bc(d),Qon(g,sBn(d,n));for(a=new N4(o,0);a.b<a.d.gc();)0==(MK(a.b<a.d.gc()),uG(a.d.Xb(a.c=a.b++),30)).a.c.length&&LQ(a);n.a.c.length=0,t.Vg()}function sJn(n,t,i,r,c,a,o){var u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I,O;for(w=0,S=0,s=new Ww(n);s.a<s.c.c.length;)IWn(u=uG(N3(s),27)),w=e.Math.max(w,u.g),S+=u.g*u.f;for(E=Ojn(n,S/n.c.length),S+=n.c.length*E,w=e.Math.max(w,e.Math.sqrt(S*o))+i.b,I=i.b,O=i.d,b=0,f=i.b+i.c,aq(j=new lS,xwn(0)),M=new lS,h=new N4(n,0);h.b<h.d.gc();)MK(h.b<h.d.gc()),C=(u=uG(h.d.Xb(h.c=h.b++),27)).g,l=u.f,I+C>w&&(a&&(cL(M,b),cL(j,xwn(h.b-1))),I=i.b,O+=b+t,b=0,f=e.Math.max(f,i.b+i.c+C)),ycn(u,I),Mcn(u,O),f=e.Math.max(f,I+C+i.c),b=e.Math.max(b,l),I+=C+t;if(f=e.Math.max(f,r),(P=O+b+i.a)<c&&(b+=c-P,P=c),a)for(I=i.b,h=new N4(n,0),cL(j,xwn(n.c.length)),p=uG(I6(T=Fkn(j,0)),17).a,cL(M,b),y=Fkn(M,0),k=0;h.b<h.d.gc();)h.b==p&&(I=i.b,k=uM(pK(I6(y))),p=uG(I6(T),17).a),MK(h.b<h.d.gc()),m=(u=uG(h.d.Xb(h.c=h.b++),27)).f,vcn(u,k),d=k,h.b==p&&(g=f-I-i.c,v=u.g,kcn(u,g),tLn(u,new MO(g,d),new MO(v,m))),I+=u.g+t;return new MO(f,P)}function hJn(n,t){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S;for(t.Ug("Compound graph postprocessor",1),i=oM(gK(oIn(n,(jYn(),xTt)))),u=uG(oIn(n,(GYn(),Apt)),229),f=new ek,m=u.ec().Kc();m.Ob();){for(p=uG(m.Pb(),18),o=new Z_(u.cc(p)),hZ(),f$(o,new Gd(n)),M=vun((u3(0,o.c.length),uG(o.c[0],249))),j=kun(uG(zq(o,o.c.length-1),249)),k=M.i,v=jsn(j.i,k)?k.e:HQ(k),l=iyn(p,o),BY(p.a),b=null,a=new 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Ym,o=u.Kc();o.Ob();)a=uG(o.Pb(),240),s=uG(a.a,39),oM(gK(a.c))?(l.a.zc(s,(qx(),tot)),new od(l.a.Zc(s,!1)).a.gc()>0&&vJ(i,s,uG(new od(l.a.Zc(s,!1)).a.Vc(),39)),new od(l.a.ad(s,!0)).a.gc()>1&&vJ(i,wmn(l,s),s)):(new od(l.a.Zc(s,!1)).a.gc()>0&&xA(c=uG(new od(l.a.Zc(s,!1)).a.Vc(),39))===xA(DA(FX(i.f,s)))&&uG(oIn(s,(OQn(),yPt)),15).Fc(c),new od(l.a.ad(s,!0)).a.gc()>1&&(f=wmn(l,s),xA(DA(FX(i.f,f)))===xA(s)&&uG(oIn(f,(OQn(),yPt)),15).Fc(s)),l.a.Bc(s))}function lJn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y;if(1==n.gc())return uG(n.Xb(0),235);if(n.gc()<=0)return new d7;for(c=n.Kc();c.Ob();){for(i=uG(c.Pb(),235),d=0,f=vZn,l=vZn,s=j1n,h=j1n,w=new Ww(i.e);w.a<w.c.c.length;)b=uG(N3(w),153),d+=uG(oIn(b,(cGn(),$ft)),17).a,f=e.Math.min(f,b.d.a-b.e.a/2),l=e.Math.min(l,b.d.b-b.e.b/2),s=e.Math.max(s,b.d.a+b.e.a/2),h=e.Math.max(h,b.d.b+b.e.b/2);kfn(i,(cGn(),$ft),xwn(d)),kfn(i,(mon(),Vft),new MO(f,l)),kfn(i,zft,new MO(s,h))}for(hZ(),n.jd(new bt),zsn(g=new d7,uG(n.Xb(0),96)),u=0,v=0,a=n.Kc();a.Ob();)i=uG(a.Pb(),235),p=YF(D$(uG(oIn(i,(mon(),zft)),8)),uG(oIn(i,Vft),8)),u=e.Math.max(u,p.a),v+=p.a*p.b;for(u=e.Math.max(u,e.Math.sqrt(v)*uM(pK(oIn(g,(cGn(),kft))))),k=0,y=0,o=0,t=m=uM(pK(oIn(g,_ft))),r=n.Kc();r.Ob();)i=uG(r.Pb(),235),k+(p=YF(D$(uG(oIn(i,(mon(),zft)),8)),uG(oIn(i,Vft),8))).a>u&&(k=0,y+=o+m,o=0),eUn(g,i,k,y),t=e.Math.max(t,k+p.a),o=e.Math.max(o,p.b),k+=p.a+m;return g}function bJn(n){var t,e,i,r,c,a,o,u,s,h,f,l,b,w,d,g;if(NGn(),null==n)return null;if((w=hgn(c=_en(n)))%4!=0)return null;if(0==(d=w/4|0))return Inn(tUt,ret,28,0,15,1);for(f=null,t=0,e=0,i=0,r=0,a=0,o=0,u=0,s=0,b=0,l=0,h=0,f=Inn(tUt,ret,28,3*d,15,1);b<d-1;b++){if(!(mE(a=c[h++])&&mE(o=c[h++])&&mE(u=c[h++])&&mE(s=c[h++])))return null;t=dHt[a],e=dHt[o],i=dHt[u],r=dHt[s],f[l++]=(t<<2|e>>4)<<24>>24,f[l++]=((15&e)<<4|i>>2&15)<<24>>24,f[l++]=(i<<6|r)<<24>>24}return 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Ww(k.f);w.a<w.c.c.length;)gv((f=uG(N3(w),72)).n,k.o.b-f.o.b)}for(d.k==(zIn(),lbt)&&(kfn(d,(GYn(),Fpt),Eun(uG(oIn(d,Fpt),64))),Fdn(d)),l=new Ww(d.b);l.a<l.c.c.length;)DTn(f=uG(N3(l),72)),gv(f.n,m.b-f.o.b)}}function HJn(n,t){var e,i,r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I;for(m=new N4(n.b,0),d=0,s=uG((f=t.Kc()).Pb(),17).a,y=0,e=new ek,T=new XL;m.b<m.d.gc();){for(MK(m.b<m.d.gc()),k=new Ww(uG(m.d.Xb(m.c=m.b++),30).a);k.a<k.c.c.length;){for(w=new Fz(ix(Xgn(v=uG(N3(k),10)).a.Kc(),new h));hDn(w);)l=uG(N9(w),18),T.a.zc(l,T);for(b=new Fz(ix(qgn(v).a.Kc(),new h));hDn(b);)l=uG(N9(b),18),T.a.Bc(l)}if(d+1==s){for(pF(m,r=new bQ(n)),pF(m,c=new bQ(n)),E=T.a.ec().Kc();E.Ob();)j=uG(E.Pb(),18),e.a._b(j)||(++y,e.a.zc(j,e)),kfn(a=new gMn(n),(jYn(),JMt),($Pn(),oRt)),a2(a,r),Hb(a,(zIn(),fbt)),o2(g=new lOn,a),NLn(g,(KQn(),_Rt)),o2(S=new lOn,a),NLn(S,kRt),kfn(i=new gMn(n),JMt,oRt),a2(i,c),Hb(i,fbt),o2(p=new lOn,i),NLn(p,_Rt),o2(P=new lOn,i),NLn(P,kRt),c2(M=new 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Hqn(t,e,null,a),mv(d.c,f),s&&(s=!1,e.b<r.d.d?f.f.a=!0:e.b>r.d.d+r.d.a?f.f.d=!0:(f.f.d=!0,f.f.a=!0))),i.b!=i.d.c&&(t=e);f&&(c=uG(cQ(n.f,a.d.i),60),t.b<c.d.d?f.f.a=!0:t.b>c.d.d+c.d.a?f.f.d=!0:(f.f.d=!0,f.f.a=!0))}for(o=new Fz(ix(qgn(b).a.Kc(),new h));hDn(o);)0!=(a=uG(N9(o),18)).a.b&&(t=uG(pR(a.a),8),a.d.j==(KQn(),yRt)&&((g=new Hqn(t,new MO(t.a,r.d.d),r,a)).f.a=!0,g.a=a.d,mv(d.c,g)),a.d.j==KRt&&((g=new Hqn(t,new MO(t.a,r.d.d+r.d.a),r,a)).f.d=!0,g.a=a.d,mv(d.c,g)))}return d}function GJn(n,t,e){var i,r,c,a,o,u,s,h,f,l;for(u=new Zm,f=t.length,a=Ffn(e),s=0;s<f;++s){switch(c=(r=khn(i=Ndn(a,(Knn(s,h=cx(t,$Cn(61),s),t.length),t.substr(s,h-s))))).jk().wi(),VJ(t,++h)){case 39:o=aR(t,39,++h),kD(u,new TA(i,LY((Knn(h,o,t.length),t.substr(h,o-h)),c,r))),s=o+1;break;case 34:o=aR(t,34,++h),kD(u,new TA(i,LY((Knn(h,o,t.length),t.substr(h,o-h)),c,r))),s=o+1;break;case 91:kD(u,new TA(i,l=new Zm));n:for(;;){switch(VJ(t,++h)){case 39:o=aR(t,39,++h),kD(l,LY((Knn(h,o,t.length),t.substr(h,o-h)),c,r)),h=o+1;break;case 34:o=aR(t,34,++h),kD(l,LY((Knn(h,o,t.length),t.substr(h,o-h)),c,r)),h=o+1;break;case 110:if(++h,t.indexOf("ull",h)!=h)throw hv(new Ky(Xtt));l.c.push(null),h+=3}if(!(h<f))break;switch(s3(h,t.length),t.charCodeAt(h)){case 44:break;case 93:break n;default:throw hv(new Ky("Expecting , or ]"))}}s=h+1;break;case 110:if(++h,t.indexOf("ull",h)!=h)throw hv(new Ky(Xtt));kD(u,new TA(i,null)),s=h+3}if(!(s<f))break;if(s3(s,t.length),44!=t.charCodeAt(s))throw hv(new Ky("Expecting ,"))}return VFn(n,u,e)}function qJn(n){var t,e,i,r;switch(r=null,n.c){case 6:return n.Em();case 13:return n.Fm();case 23:return n.wm();case 22:return n.Bm();case 18:return n.ym();case 8:EYn(n),QYn(),r=IHt;break;case 9:return n.em(!0);case 19:return n.fm();case 10:switch(n.a){case 100:case 68:case 119:case 87:case 115:case 83:return r=n.dm(n.a),EYn(n),r;case 101:case 102:case 110:case 114:case 116:case 117:case 118:case 120:(t=n.cm())<P0n?(QYn(),QYn(),r=new IX(0,t)):r=mz(Ogn(t));break;case 99:return n.om();case 67:return n.jm();case 105:return n.rm();case 73:return n.km();case 103:return n.pm();case 88:return n.lm();case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:return n.gm();case 80:case 112:if(!(r=PNn(n,n.a)))throw hv(new CM(rZn((t$(),git))));break;default:r=UG(n.a)}EYn(n);break;case 0:if(93==n.a||123==n.a||125==n.a)throw hv(new CM(rZn((t$(),dit))));r=UG(n.a),e=n.a,EYn(n),(64512&e)==C0n&&0==n.c&&56320==(64512&n.a)&&((i=Inn(JHt,N1n,28,2,15,1))[0]=e&D1n,i[1]=n.a&D1n,r=EV(mz(mvn(i,0,i.length)),0),EYn(n));break;default:throw hv(new CM(rZn((t$(),dit))))}return r}function XJn(n,t){var e,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P;for(E=new lS,M=new lS,g=-1,u=new Ww(n);u.a<u.c.c.length;){for((a=uG(N3(u),131)).s=g--,h=0,v=0,c=new Ww(a.t);c.a<c.c.c.length;)v+=(i=uG(N3(c),274)).c;for(r=new Ww(a.i);r.a<r.c.c.length;)h+=(i=uG(N3(r),274)).c;a.n=h,a.u=v,0==v?s8(M,a,M.c.b,M.c):0==h&&s8(E,a,E.c.b,E.c)}for(P=g8(n),d=(f=n.c.length)+1,p=f-1,b=new Zm;0!=P.a.gc();){for(;0!=M.b;)MK(0!=M.b),y=uG(Lrn(M,M.a.a),131),P.a.Bc(y),y.s=p--,Vxn(y,E,M);for(;0!=E.b;)MK(0!=E.b),T=uG(Lrn(E,E.a.a),131),P.a.Bc(T),T.s=d++,Vxn(T,E,M);for(w=j1n,s=P.a.ec().Kc();s.Ob();)(m=(a=uG(s.Pb(),131)).u-a.n)>=w&&(m>w&&(b.c.length=0,w=m),mv(b.c,a));0!=b.c.length&&(l=uG(zq(b,iMn(t,b.c.length)),131),P.a.Bc(l),l.s=d++,Vxn(l,E,M),b.c.length=0)}for(k=n.c.length+1,o=new Ww(n);o.a<o.c.c.length;)(a=uG(N3(o),131)).s<f&&(a.s+=k);for(j=new Ww(n);j.a<j.c.c.length;)for(e=new N4((T=uG(N3(j),131)).t,0);e.b<e.d.gc();)MK(e.b<e.d.gc()),S=(i=uG(e.d.Xb(e.c=e.b++),274)).b,T.s>S.s&&(LQ(e),men(S.i,i),i.c>0&&(i.a=S,kD(S.t,i),i.b=T,kD(T.i,i)))}function zJn(n,t,e,i,r){var c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E;for(w=new R7(t.b),m=new R7(t.b),l=new R7(t.b),M=new R7(t.b),d=new R7(t.b),y=Fkn(t,0);y.b!=y.d.c;)for(o=new Ww((v=uG(I6(y),12)).g);o.a<o.c.c.length;)if((c=uG(N3(o),18)).c.i==c.d.i){if(v.j==c.d.j){mv(M.c,c);continue}if(v.j==(KQn(),yRt)&&c.d.j==KRt){mv(d.c,c);continue}}for(u=new Ww(d);u.a<u.c.c.length;)KUn(n,c=uG(N3(u),18),e,i,(KQn(),kRt));for(a=new Ww(M);a.a<a.c.c.length;)c=uG(N3(a),18),Hb(T=new gMn(n),(zIn(),gbt)),kfn(T,(jYn(),JMt),($Pn(),cRt)),kfn(T,(GYn(),rmt),c),kfn(j=new lOn,rmt,c.d),NLn(j,(KQn(),_Rt)),o2(j,T),kfn(E=new lOn,rmt,c.c),NLn(E,kRt),o2(E,T),kfn(c.c,lmt,T),kfn(c.d,lmt,T),c2(c,null),u2(c,null),mv(e.c,T),kfn(T,Opt,xwn(2));for(k=Fkn(t,0);k.b!=k.d.c;)s=(v=uG(I6(k),12)).e.c.length>0,g=v.g.c.length>0,s&&g?mv(l.c,v):s?mv(w.c,v):g&&mv(m.c,v);for(b=new Ww(w);b.a<b.c.c.length;)kD(r,Xqn(n,uG(N3(b),12),null,e));for(p=new Ww(m);p.a<p.c.c.length;)kD(r,Xqn(n,null,uG(N3(p),12),e));for(f=new Ww(l);f.a<f.c.c.length;)kD(r,Xqn(n,h=uG(N3(f),12),h,e))}function VJn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k;for(b=M0n,w=M0n,f=0,l=0,s=new Zm,u=new DD((!n.b&&(n.b=new fV(aFt,n,12,3)),n.b));u.e!=u.i.gc();)a=uG(Zkn(u),74),s=zcn(Uhn(cT(vat,1),EZn,20,0,[s,(!a.n&&(a.n=new fV(lFt,a,1,7)),a.n)]));for(k=OV(zcn(Uhn(cT(vat,1),EZn,20,0,[(!n.n&&(n.n=new fV(lFt,n,1,7)),n.n),(!n.a&&(n.a=new fV(bFt,n,10,11)),n.a),s])));hDn(k);)v=uG(N9(k),422),h=uG(v.of((XYn(),$$t)),140),b>v.nh()-h.b&&(b=v.nh()-h.b),w>v.oh()-h.d&&(w=v.oh()-h.d),f<v.nh()+v.mh()+h.c&&(f=v.nh()+v.mh()+h.c),l<v.oh()+v.lh()+h.a&&(l=v.oh()+v.lh()+h.a);for(o=new DD((!n.b&&(n.b=new fV(aFt,n,12,3)),n.b));o.e!=o.i.gc();)for(m=new DD((!(a=uG(Zkn(o),74)).a&&(a.a=new fV(oFt,a,6,6)),a.a));m.e!=m.i.gc();)for(d=(p=uG(Zkn(m),166)).j,r=p.b,g=p.k,c=p.c,b=e.Math.min(b,d),b=e.Math.min(b,r),f=e.Math.max(f,d),f=e.Math.max(f,r),w=e.Math.min(w,g),w=e.Math.min(w,c),l=e.Math.max(l,g),l=e.Math.max(l,c),i=new DD((!p.a&&(p.a=new MD(eFt,p,5)),p.a));i.e!=i.i.gc();)t=uG(Zkn(i),377),b=e.Math.min(b,t.a),f=e.Math.max(f,t.a),w=e.Math.min(w,t.b),l=e.Math.max(l,t.b);Myn(n,(XYn(),h$t),f-b),Myn(n,s$t,l-w)}function WJn(n,t,e){var i,r,c,a,o,u,s;if(e.Ug("Network simplex node placement",1),n.e=t,n.n=uG(oIn(t,(GYn(),kmt)),312),Pzn(n),vPn(n),kS(sin(new fX(null,new h3(n.e.b,16)),new _c),new hp(n)),kS(JJ(sin(JJ(sin(new fX(null,new h3(n.e.b,16)),new Zc),new na),new ta),new ea),new sp(n)),oM(gK(oIn(n.e,(jYn(),OMt))))&&((c=e.eh(1)).Ug("Straight Edges Pre-Processing",1),HWn(n),c.Vg()),uMn(n.f),r=uG(oIn(t,OTt),17).a*n.f.a.c.length,YHn(kT(yT(_B(n.f),r),!1),e.eh(1)),0!=n.d.a.gc()){for((c=e.eh(1)).Ug("Flexible Where Space Processing",1),a=uG(yx(Qz(YJ(new fX(null,new h3(n.f.a,16)),new Bc),new $c)),17).a,o=uG(yx(Wz(YJ(new fX(null,new h3(n.f.a,16)),new Hc),new Dc)),17).a-a,u=jx(new sk,n.f),s=jx(new sk,n.f),RKn(xS(DS($S(RS(new uk,2e4),o),u),s)),kS(JJ(JJ(BV(n.i),new Uc),new Gc),new dY(a,u,o,s)),i=n.d.a.ec().Kc();i.Ob();)uG(i.Pb(),218).g=1;YHn(kT(yT(_B(n.f),r),!1),c.eh(1)),c.Vg()}oM(gK(oIn(t,OMt)))&&((c=e.eh(1)).Ug("Straight Edges Post-Processing",1),fAn(n),c.Vg()),dWn(n),n.e=null,n.f=null,n.i=null,n.c=null,$V(n.k),n.j=null,n.a=null,n.o=null,n.d.a.$b(),e.Vg()}function QJn(n,t,i){var r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k;for(i.Ug("Depth first model order layering",1),n.d=t,m=new Zm,p=new Ww(n.d.a);p.a<p.c.c.length;)(d=uG(N3(p),10)).k==(zIn(),dbt)&&mv(m.c,d);for(hZ(),f$(m,new Ec),o=!0,n.b=new bQ(n.d),n.a=null,kD(n.d.b,n.b),n.b.p=0,n.c=0,n.f=new lS,g=new Ww(m);g.a<g.c.c.length;)if(d=uG(N3(g),10),o)a2(d,n.b),o=!1;else if(Lqn(n,d))if(r=(w=Pyn(w=n.c,d))+2,l=w-n.c,0==n.f.b)O_n(n,r,d);else if(l>0){for(k=Fkn(n.f,0);k.b!=k.d.c;)uG(I6(k),10).p+=w-n.e;kAn(n),BY(n.f),O_n(n,r,d)}else{for(aq(n.f,d),d.p=r,n.e=e.Math.max(n.e,r),a=new Fz(ix(qgn(d).a.Kc(),new h));hDn(a);)(c=uG(N9(a),18)).c.i.c||c.c.i.k!=(zIn(),bbt)||(aq(n.f,c.c.i),c.c.i.p=r-1);n.c=r}else kAn(n),BY(n.f),r=0,hDn(new Fz(ix(qgn(d).a.Kc(),new h)))?O_n(n,r=(w=Pyn(w=0,d))+2,d):(aq(n.f,d),d.p=0,n.e=e.Math.max(n.e,0),n.b=uG(zq(n.d.b,0),30),n.c=0);for(0==n.f.b||kAn(n),n.d.a.c.length=0,v=new Zm,f=new Ww(n.d.b);f.a<f.c.c.length;)0==(u=uG(N3(f),30)).a.c.length&&mv(v.c,u);for(dgn(n.d.b,v),b=0,s=new Ww(n.d.b);s.a<s.c.c.length;)(u=uG(N3(s),30)).p=b,++b;i.Vg()}function JJn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b;if(s=t,Gan(u=D5(n,d5(e),s),k6(s,Iet)),h=uG(dcn(n.g,fNn(v0(s,set))),27),i=null,(a=v0(s,"sourcePort"))&&(i=fNn(a)),f=uG(dcn(n.j,i),123),!h)throw hv(new SM("An edge must have a source node (edge id: '"+jvn(s)+$et));if(f&&!xQ(h0(f),h))throw hv(new SM("The source port of an edge must be a port of the edge's source node (edge id: '"+k6(s,Iet)+$et));if(!u.b&&(u.b=new f_(cFt,u,4,7)),ttn(u.b,f||h),l=uG(dcn(n.g,fNn(v0(s,Ret))),27),r=null,(o=v0(s,"targetPort"))&&(r=fNn(o)),b=uG(dcn(n.j,r),123),!l)throw hv(new SM("An edge must have a target node (edge id: '"+jvn(s)+$et));if(b&&!xQ(h0(b),l))throw hv(new SM("The target port of an edge must be a port of the edge's target node (edge id: '"+k6(s,Iet)+$et));if(!u.c&&(u.c=new f_(cFt,u,5,8)),ttn(u.c,b||l),0==(!u.b&&(u.b=new f_(cFt,u,4,7)),u.b).i||0==(!u.c&&(u.c=new f_(cFt,u,5,8)),u.c).i)throw c=k6(s,Iet),hv(new SM(Net+c+$et));return fCn(s,u),ZDn(s,u),qfn(n,s,u)}function YJn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I;for(b=uG(oIn(n,(mon(),Wft)),27),m=vZn,v=vZn,g=j1n,p=j1n,y=new Ww(n.e);y.a<y.c.c.length;)S=(k=uG(N3(y),153)).d,P=k.e,m=e.Math.min(m,S.a-P.a/2),v=e.Math.min(v,S.b-P.b/2),g=e.Math.max(g,S.a+P.a/2),p=e.Math.max(p,S.b+P.b/2);for(i=new Ww(n.b);i.a<i.c.c.length;)S=(t=uG(N3(i),250)).d,P=t.e,m=e.Math.min(m,S.a-P.a/2),v=e.Math.min(v,S.b-P.b/2),g=e.Math.max(g,S.a+P.a/2),p=e.Math.max(p,S.b+P.b/2);for(j=new MO((E=uG(zDn(b,(cGn(),Oft)),107)).b-m,E.d-v),h=new Ww(n.e);h.a<h.c.c.length;)F$(T=oIn(s=uG(N3(h),153),Wft),207)&&kN(w=uG(T,27),(M=JF(new eN(s.d),j)).a-w.g/2,M.b-w.f/2);for(a=new Ww(n.c);a.a<a.c.c.length;)c=uG(N3(a),289),l=JFn(uG(oIn(c,Wft),74),!0,!0),JF(C=new eN(Vcn(c)),j),MN(l,C.a,C.b),Prn(c.a,new bC(j,l)),JF(r=new eN(Wcn(c)),j),yN(l,r.a,r.b);for(u=new Ww(n.d);u.a<u.c.c.length;)o=uG(N3(u),453),kN(uG(oIn(o,Wft),135),(d=JF(new eN(o.d),j)).a,d.b);I=g-m+(E.b+E.c),f=p-v+(E.d+E.a),oM(gK(zDn(b,(XYn(),H$t))))||ZQn(b,I,f,!1,!0),Myn(b,h$t,I-(E.b+E.c)),Myn(b,s$t,f-(E.d+E.a))}function ZJn(n,t){var e,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S;return f=xGn(Ax(n,(KQn(),SRt)),t),w=UTn(Ax(n,PRt),t),k=UTn(Ax(n,DRt),t),j=GTn(Ax(n,RRt),t),l=GTn(Ax(n,MRt),t),m=UTn(Ax(n,$Rt),t),d=UTn(Ax(n,CRt),t),M=UTn(Ax(n,xRt),t),y=UTn(Ax(n,TRt),t),E=GTn(Ax(n,ERt),t),p=UTn(Ax(n,LRt),t),v=UTn(Ax(n,ARt),t),T=UTn(Ax(n,jRt),t),S=GTn(Ax(n,NRt),t),b=GTn(Ax(n,IRt),t),g=UTn(Ax(n,ORt),t),e=Trn(Uhn(cT(eUt,1),I0n,28,15,[m.a,j.a,M.a,S.a])),i=Trn(Uhn(cT(eUt,1),I0n,28,15,[w.a,f.a,k.a,g.a])),r=p.a,c=Trn(Uhn(cT(eUt,1),I0n,28,15,[d.a,l.a,y.a,b.a])),s=Trn(Uhn(cT(eUt,1),I0n,28,15,[m.b,w.b,d.b,v.b])),u=Trn(Uhn(cT(eUt,1),I0n,28,15,[j.b,f.b,l.b,g.b])),h=E.b,o=Trn(Uhn(cT(eUt,1),I0n,28,15,[M.b,k.b,y.b,T.b])),utn(Ax(n,SRt),e+r,s+h),utn(Ax(n,ORt),e+r,s+h),utn(Ax(n,PRt),e+r,0),utn(Ax(n,DRt),e+r,s+h+u),utn(Ax(n,RRt),0,s+h),utn(Ax(n,MRt),e+r+i,s+h),utn(Ax(n,CRt),e+r+i,0),utn(Ax(n,xRt),0,s+h+u),utn(Ax(n,TRt),e+r+i,s+h+u),utn(Ax(n,ERt),0,s),utn(Ax(n,LRt),e,0),utn(Ax(n,jRt),0,s+h+u),utn(Ax(n,IRt),e+r+i,0),(a=new sj).a=Trn(Uhn(cT(eUt,1),I0n,28,15,[e+i+r+c,E.a,v.a,T.a])),a.b=Trn(Uhn(cT(eUt,1),I0n,28,15,[s+u+h+o,p.b,S.b,b.b])),a}function nYn(n){var t,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T;for(d=new MO(M0n,M0n),t=new MO(T0n,T0n),y=new Ww(n);y.a<y.c.c.length;)k=uG(N3(y),8),d.a=e.Math.min(d.a,k.a),d.b=e.Math.min(d.b,k.b),t.a=e.Math.max(t.a,k.a),t.b=e.Math.max(t.b,k.b);for(s=new MO(t.a-d.a,t.b-d.b),h=new gqn(new MO(d.a-50,d.b-s.a-50),new MO(d.a-50,t.b+s.a+50),new MO(t.a+s.b/2+50,d.b+s.b/2)),v=new ek,c=new Zm,i=new Zm,v.a.zc(h,v),T=new Ww(n);T.a<T.c.c.length;){for(M=uG(N3(T),8),c.c.length=0,m=v.a.ec().Kc();m.Ob();)atn((g=uG(m.Pb(),317)).d,g.a),Fgn(atn(g.d,M),atn(g.d,g.a))<0&&mv(c.c,g);for(i.c.length=0,p=new Ww(c);p.a<p.c.c.length;)for(b=new Ww((g=uG(N3(p),317)).e);b.a<b.c.c.length;){for(f=uG(N3(b),177),a=!0,u=new Ww(c);u.a<u.c.c.length;)(o=uG(N3(u),317))!=g&&(OJ(f,zq(o.e,0))||OJ(f,zq(o.e,1))||OJ(f,zq(o.e,2)))&&(a=!1);a&&mv(i.c,f)}for(zCn(v,c),z8(v,new ln),l=new Ww(i);l.a<l.c.c.length;)FV(v,new gqn(M,(f=uG(N3(l),177)).a,f.b))}for(z8(v,new Pd(w=new ek)),r=w.a.ec().Kc();r.Ob();)(Den(h,(f=uG(r.Pb(),177)).a)||Den(h,f.b))&&r.Qb();return z8(w,new bn),w}function tYn(){tYn=E,pj(),VKt=RKt.a,uG(zrn(gZ(RKt.a),0),19),HKt=RKt.f,uG(zrn(gZ(RKt.f),0),19),uG(zrn(gZ(RKt.f),1),35),zKt=RKt.n,uG(zrn(gZ(RKt.n),0),35),uG(zrn(gZ(RKt.n),1),35),uG(zrn(gZ(RKt.n),2),35),uG(zrn(gZ(RKt.n),3),35),UKt=RKt.g,uG(zrn(gZ(RKt.g),0),19),uG(zrn(gZ(RKt.g),1),35),FKt=RKt.c,uG(zrn(gZ(RKt.c),0),19),uG(zrn(gZ(RKt.c),1),19),GKt=RKt.i,uG(zrn(gZ(RKt.i),0),19),uG(zrn(gZ(RKt.i),1),19),uG(zrn(gZ(RKt.i),2),19),uG(zrn(gZ(RKt.i),3),19),uG(zrn(gZ(RKt.i),4),35),qKt=RKt.j,uG(zrn(gZ(RKt.j),0),19),_Kt=RKt.d,uG(zrn(gZ(RKt.d),0),19),uG(zrn(gZ(RKt.d),1),19),uG(zrn(gZ(RKt.d),2),19),uG(zrn(gZ(RKt.d),3),19),uG(zrn(gZ(RKt.d),4),35),uG(zrn(gZ(RKt.d),5),35),uG(zrn(gZ(RKt.d),6),35),uG(zrn(gZ(RKt.d),7),35),KKt=RKt.b,uG(zrn(gZ(RKt.b),0),35),uG(zrn(gZ(RKt.b),1),35),BKt=RKt.e,uG(zrn(gZ(RKt.e),0),35),uG(zrn(gZ(RKt.e),1),35),uG(zrn(gZ(RKt.e),2),35),uG(zrn(gZ(RKt.e),3),35),uG(zrn(gZ(RKt.e),4),19),uG(zrn(gZ(RKt.e),5),19),uG(zrn(gZ(RKt.e),6),19),uG(zrn(gZ(RKt.e),7),19),uG(zrn(gZ(RKt.e),8),19),uG(zrn(gZ(RKt.e),9),19),uG(zrn(gZ(RKt.e),10),35),XKt=RKt.k,uG(zrn(gZ(RKt.k),0),35),uG(zrn(gZ(RKt.k),1),35)}function eYn(n){var t,e,i,r,c;switch(t=n.c){case 11:return n.vm();case 12:return n.xm();case 14:return n.zm();case 15:return n.Cm();case 16:return n.Am();case 17:return n.Dm();case 21:return EYn(n),QYn(),QYn(),OHt;case 10:switch(n.a){case 65:return n.hm();case 90:return n.mm();case 122:return n.tm();case 98:return n.nm();case 66:return n.im();case 60:return n.sm();case 62:return n.qm()}}switch(c=qJn(n),t=n.c){case 3:return n.Im(c);case 4:return n.Gm(c);case 5:return n.Hm(c);case 0:if(123==n.a&&n.d<n.j){if(r=n.d,i=0,e=-1,!((t=VJ(n.i,r++))>=48&&t<=57))throw hv(new CM(rZn((t$(),Nit))));for(i=t-48;r<n.j&&(t=VJ(n.i,r++))>=48&&t<=57;)if((i=10*i+t-48)<0)throw hv(new CM(rZn((t$(),Rit))));if(e=i,44==t){if(r>=n.j)throw hv(new CM(rZn((t$(),Dit))));if((t=VJ(n.i,r++))>=48&&t<=57){for(e=t-48;r<n.j&&(t=VJ(n.i,r++))>=48&&t<=57;)if((e=10*e+t-48)<0)throw hv(new CM(rZn((t$(),Rit))));if(i>e)throw hv(new CM(rZn((t$(),xit))))}else e=-1}if(125!=t)throw hv(new CM(rZn((t$(),$it))));n.bm(r)?(QYn(),QYn(),c=new n8(9,c),n.d=r+1):(QYn(),QYn(),c=new n8(3,c),n.d=r),c.Om(i),c.Nm(e),EYn(n)}}return c}function iYn(n){var t,e,i;switch(e=uG(oIn(n,(GYn(),Hpt)),21),t=aN(klt),uG(oIn(n,(jYn(),rMt)),346)==(Own(),Ixt)&&gsn(t,ylt),oM(gK(oIn(n,eMt)))?Aq(t,(uIn(),Tlt),(zYn(),Iwt)):Aq(t,(uIn(),Elt),(zYn(),Iwt)),null!=oIn(n,(K7(),jNt))&&gsn(t,Mlt),(oM(gK(oIn(n,fMt)))||oM(gK(oIn(n,iMt))))&&wz(t,(uIn(),Plt),(zYn(),Ubt)),uG(oIn(n,Byt),88).g){case 2:case 3:case 4:wz(Aq(t,(uIn(),Tlt),(zYn(),qbt)),Plt,Gbt)}switch(e.Hc((r_n(),Zgt))&&wz(Aq(Aq(t,(uIn(),Tlt),(zYn(),Hbt)),Slt,_bt),Plt,Bbt),xA(oIn(n,yMt))!==xA((THn(),$jt))&&Aq(t,(uIn(),Elt),(zYn(),ywt)),e.Hc(apt)&&(Aq(t,(uIn(),Tlt),(zYn(),Pwt)),Aq(t,jlt,Ewt),Aq(t,Elt,Swt)),xA(oIn(n,vyt))!==xA((RIn(),Vgt))&&xA(oIn(n,Vyt))!==xA((_gn(),sxt))&&wz(t,(uIn(),Plt),(zYn(),rwt)),oM(gK(oIn(n,aMt)))&&Aq(t,(uIn(),Elt),(zYn(),iwt)),oM(gK(oIn(n,Ryt)))&&Aq(t,(uIn(),Elt),(zYn(),Dwt)),CRn(n)&&(i=(xA(oIn(n,rMt))===xA(Ixt)?uG(oIn(n,Oyt),298):uG(oIn(n,Ayt),298))==(ihn(),fpt)?(zYn(),jwt):(zYn(),Kwt),Aq(t,(uIn(),Slt),i)),uG(oIn(n,qTt),388).g){case 1:Aq(t,(uIn(),Slt),(zYn(),xwt));break;case 2:wz(Aq(Aq(t,(uIn(),Elt),(zYn(),xbt)),Slt,Rbt),Plt,Kbt)}return xA(oIn(n,Syt))!==xA((yvn(),Fjt))&&Aq(t,(uIn(),Elt),(zYn(),Rwt)),t}function rYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v;if(PV(n.a,t)){if(cS(uG(cQ(n.a,t),49),e))return 1}else vJ(n.a,t,new ek);if(PV(n.a,e)){if(cS(uG(cQ(n.a,e),49),t))return-1}else vJ(n.a,e,new ek);if(PV(n.e,t)){if(cS(uG(cQ(n.e,t),49),e))return-1}else vJ(n.e,t,new ek);if(PV(n.e,e)){if(cS(uG(cQ(n.a,e),49),t))return 1}else vJ(n.e,e,new ek);if(n.c==(yvn(),_jt)||!vR(t,(GYn(),imt))||!vR(e,(GYn(),imt))){for(f=null,s=new Ww(t.j);s.a<s.c.c.length;)0==(o=uG(N3(s),12)).e.c.length||uG(zq(o.e,0),18).c.i.c!=t.c&&(f=uG(zq(o.e,0),18).c);for(b=null,u=new Ww(e.j);u.a<u.c.c.length;)0==(o=uG(N3(u),12)).e.c.length||uG(zq(o.e,0),18).c.i.c!=e.c&&(b=uG(zq(o.e,0),18).c);if(f&&b){if(h=f.i,l=b.i,h&&h==l){for(d=new Ww(h.j);d.a<d.c.c.length;){if((w=uG(N3(d),12))==f)return uHn(n,e,t),-1;if(w==b)return uHn(n,t,e),1}return d$(_Sn(n,t),_Sn(n,e))}for(m=0,v=(p=n.d).length;m<v;++m){if((g=p[m])==h)return uHn(n,e,t),-1;if(g==l)return uHn(n,t,e),1}}if(!vR(t,(GYn(),imt))||!vR(e,imt))return(r=_Sn(n,t))>(a=_Sn(n,e))?uHn(n,t,e):uHn(n,e,t),r<a?-1:r>a?1:0}return(i=uG(oIn(t,(GYn(),imt)),17).a)>(c=uG(oIn(e,imt),17).a)?uHn(n,t,e):uHn(n,e,t),i<c?-1:i>c?1:0}function cYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d;if(null==e)return null;if(n.a!=t.jk())throw hv(new vM(tet+t.xe()+eet));if(F$(t,468)){if(!(d=y_n(uG(t,685),e)))throw hv(new vM(iet+e+"' is not a valid enumerator of '"+t.xe()+"'"));return d}switch(tdn((gAn(),kBt),t).Nl()){case 2:e=yXn(e,!1);break;case 3:e=yXn(e,!0)}if(i=tdn(kBt,t).Jl())return i.jk().wi().ti(i,e);if(f=tdn(kBt,t).Ll()){for(d=new Zm,s=0,h=(u=Fln(e)).length;s<h;++s)o=u[s],kD(d,f.jk().wi().ti(f,o));return d}if(!(w=tdn(kBt,t).Ml()).dc()){for(b=w.Kc();b.Ob();){l=uG(b.Pb(),156);try{if(null!=(d=l.jk().wi().ti(l,e)))return d}catch(g){if(!F$(g=Ehn(g),63))throw hv(g)}}throw hv(new vM(iet+e+"' does not match any member types of the union datatype '"+t.xe()+"'"))}if(uG(t,847).ok(),!(r=jbn(t.kk())))return null;if(r==hot){c=0;try{c=vUn(e,j1n,vZn)&D1n}catch(g){if(!F$(g=Ehn(g),130))throw hv(g);c=_en(e)[0]}return Hsn(c)}if(r==iot){for(a=0;a<QKt.length;++a)try{return dP(QKt[a],e)}catch(g){if(!F$(g=Ehn(g),33))throw hv(g)}throw hv(new vM(iet+e+"' is not a date formatted string of the form yyyy-MM-dd'T'HH:mm:ss'.'SSSZ or a valid subset thereof"))}throw hv(new vM(iet+e+"' is invalid. "))}function aYn(){aYn=E,UNn(Jlt=new K1,(KQn(),SRt),ORt),UNn(Jlt,RRt,ORt),UNn(Jlt,RRt,NRt),UNn(Jlt,MRt,IRt),UNn(Jlt,MRt,ORt),UNn(Jlt,PRt,ORt),UNn(Jlt,PRt,ARt),UNn(Jlt,DRt,jRt),UNn(Jlt,DRt,ORt),UNn(Jlt,LRt,ERt),UNn(Jlt,LRt,ORt),UNn(Jlt,LRt,ARt),UNn(Jlt,LRt,jRt),UNn(Jlt,ERt,LRt),UNn(Jlt,ERt,NRt),UNn(Jlt,ERt,IRt),UNn(Jlt,ERt,ORt),UNn(Jlt,$Rt,$Rt),UNn(Jlt,$Rt,ARt),UNn(Jlt,$Rt,NRt),UNn(Jlt,CRt,CRt),UNn(Jlt,CRt,ARt),UNn(Jlt,CRt,IRt),UNn(Jlt,xRt,xRt),UNn(Jlt,xRt,jRt),UNn(Jlt,xRt,NRt),UNn(Jlt,TRt,TRt),UNn(Jlt,TRt,jRt),UNn(Jlt,TRt,IRt),UNn(Jlt,ARt,PRt),UNn(Jlt,ARt,LRt),UNn(Jlt,ARt,$Rt),UNn(Jlt,ARt,CRt),UNn(Jlt,ARt,ORt),UNn(Jlt,ARt,ARt),UNn(Jlt,ARt,NRt),UNn(Jlt,ARt,IRt),UNn(Jlt,jRt,DRt),UNn(Jlt,jRt,LRt),UNn(Jlt,jRt,xRt),UNn(Jlt,jRt,TRt),UNn(Jlt,jRt,jRt),UNn(Jlt,jRt,NRt),UNn(Jlt,jRt,IRt),UNn(Jlt,jRt,ORt),UNn(Jlt,NRt,RRt),UNn(Jlt,NRt,ERt),UNn(Jlt,NRt,$Rt),UNn(Jlt,NRt,xRt),UNn(Jlt,NRt,ARt),UNn(Jlt,NRt,jRt),UNn(Jlt,NRt,NRt),UNn(Jlt,NRt,ORt),UNn(Jlt,IRt,MRt),UNn(Jlt,IRt,ERt),UNn(Jlt,IRt,CRt),UNn(Jlt,IRt,TRt),UNn(Jlt,IRt,ARt),UNn(Jlt,IRt,jRt),UNn(Jlt,IRt,IRt),UNn(Jlt,IRt,ORt),UNn(Jlt,ORt,SRt),UNn(Jlt,ORt,RRt),UNn(Jlt,ORt,MRt),UNn(Jlt,ORt,PRt),UNn(Jlt,ORt,DRt),UNn(Jlt,ORt,LRt),UNn(Jlt,ORt,ERt),UNn(Jlt,ORt,ARt),UNn(Jlt,ORt,jRt),UNn(Jlt,ORt,NRt),UNn(Jlt,ORt,IRt),UNn(Jlt,ORt,ORt)}function oYn(n,t,i){var r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j;for(n.d=new MO(M0n,M0n),n.c=new MO(T0n,T0n),l=t.Kc();l.Ob();)for(v=new Ww(uG(l.Pb(),36).a);v.a<v.c.c.length;)m=uG(N3(v),10),n.d.a=e.Math.min(n.d.a,m.n.a-m.d.b),n.d.b=e.Math.min(n.d.b,m.n.b-m.d.d),n.c.a=e.Math.max(n.c.a,m.n.a+m.o.a+m.d.c),n.c.b=e.Math.max(n.c.b,m.n.b+m.o.b+m.d.a);for(u=new bk,f=t.Kc();f.Ob();)r=CJn(n,uG(f.Pb(),36)),kD(u.a,r),r.a=r.a|!uG(oIn(r.c,(GYn(),xpt)),21).dc();for(n.b=(Mbn(),(j=new vt).f=new $an(i),j.b=PVn(j.f,u),j),qVn((w=n.b,new fy,w)),n.e=new sj,n.a=n.b.f.e,o=new Ww(u.a);o.a<o.c.c.length;)for(c=uG(N3(o),855),k=Q1(n.b,c),eHn(c.c,k.a,k.b),g=new Ww(c.c.a);g.a<g.c.c.length;)(d=uG(N3(g),10)).k==(zIn(),lbt)&&(p=nRn(n,d.n,uG(oIn(d,(GYn(),Fpt)),64)),JF(dL(d.n),p));for(a=new Ww(u.a);a.a<a.c.c.length;)for(h=new Ww(cgn(c=uG(N3(a),855)));h.a<h.c.c.length;)for(sR(T=new tj((s=uG(N3(h),18)).a),0,n3(s.c)),aq(T,n3(s.d)),b=null,M=Fkn(T,0);M.b!=M.d.c;)y=uG(I6(M),8),b?(xrn(b.a,y.a)?(n.e.a=e.Math.min(n.e.a,b.a),n.a.a=e.Math.max(n.a.a,b.a)):xrn(b.b,y.b)&&(n.e.b=e.Math.min(n.e.b,b.b),n.a.b=e.Math.max(n.a.b,b.b)),b=y):b=y;BR(n.e),JF(n.a,n.e)}function uYn(n,t){var e,i,r,c,a,o,u,s;if(e=0,a=0,c=t.length,o=null,s=new QM,a<c&&(s3(a,t.length),43==t.charCodeAt(a))&&(++e,++a<c&&(s3(a,t.length),43==t.charCodeAt(a)||(s3(a,t.length),45==t.charCodeAt(a)))))throw hv(new ZM(y0n+t+'"'));for(;a<c&&(s3(a,t.length),46!=t.charCodeAt(a))&&(s3(a,t.length),101!=t.charCodeAt(a))&&(s3(a,t.length),69!=t.charCodeAt(a));)++a;if(s.a+=""+r1(null==t?IZn:(tJ(t),t),e,a),a<c&&(s3(a,t.length),46==t.charCodeAt(a))){for(e=++a;a<c&&(s3(a,t.length),101!=t.charCodeAt(a))&&(s3(a,t.length),69!=t.charCodeAt(a));)++a;n.e=a-e,s.a+=""+r1(null==t?IZn:(tJ(t),t),e,a)}else n.e=0;if(a<c&&(s3(a,t.length),101==t.charCodeAt(a)||(s3(a,t.length),69==t.charCodeAt(a)))&&(e=++a,a<c&&(s3(a,t.length),43==t.charCodeAt(a))&&++a<c&&(s3(a,t.length),45!=t.charCodeAt(a))&&++e,Knn(e,c,t.length),o=t.substr(e,c-e),n.e=n.e-vUn(o,j1n,vZn),n.e!=t0(n.e)))throw hv(new ZM("Scale out of range."));if((u=s.a).length<16){if(n.f=(null==Not&&(Not=new RegExp("^[+-]?\\d*$","i")),Not.test(u)?parseInt(u,10):NaN),isNaN(n.f))throw hv(new ZM(y0n+t+'"'));n.a=VLn(n.f)}else rdn(n,new PN(u));for(n.d=s.a.length,r=0;r<s.a.length&&(45==(i=VJ(s.a,r))||48==i);++r)--n.d;0==n.d&&(n.d=1)}function sYn(n){Hxn(n.b,Drt,Uhn(cT($ot,1),zZn,2,6,[Rrt,"ConsistentTransient"])),Hxn(n.a,Drt,Uhn(cT($ot,1),zZn,2,6,[Rrt,"WellFormedSourceURI"])),Hxn(n.o,Drt,Uhn(cT($ot,1),zZn,2,6,[Rrt,"InterfaceIsAbstract AtMostOneID UniqueFeatureNames UniqueOperationSignatures NoCircularSuperTypes WellFormedMapEntryClass ConsistentSuperTypes 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i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y;if(!t.dc()){if(r=new Uk,f=(a=e||uG(t.Xb(0),18)).c,uFn(),(s=f.i.k)!=(zIn(),dbt)&&s!=gbt&&s!=lbt&&s!=fbt)throw hv(new vM("The target node of the edge must be a normal node or a northSouthPort."));for(cL(r,Gfn(Uhn(cT(PNt,1),zZn,8,0,[f.i.n,f.n,f.a]))),(KQn(),LRt).Hc(f.j)&&(b=uM(pK(oIn(f,(GYn(),Mmt)))),s8(r,new MO(Gfn(Uhn(cT(PNt,1),zZn,8,0,[f.i.n,f.n,f.a])).a,b),r.c.b,r.c)),u=null,i=!1,o=t.Kc();o.Ob();)0!=(c=uG(o.Pb(),18).a).b&&(i?(s8(r,vD(JF(u,(MK(0!=c.b),uG(c.a.a.c,8))),.5),r.c.b,r.c),i=!1):i=!0,u=D$((MK(0!=c.b),uG(c.c.b.c,8))),Qon(r,c),BY(c));l=a.d,LRt.Hc(l.j)&&(b=uM(pK(oIn(l,(GYn(),Mmt)))),s8(r,new MO(Gfn(Uhn(cT(PNt,1),zZn,8,0,[l.i.n,l.n,l.a])).a,b),r.c.b,r.c)),cL(r,Gfn(Uhn(cT(PNt,1),zZn,8,0,[l.i.n,l.n,l.a]))),n.d==(kbn(),sEt)&&(MK(0!=r.b),w=uG(r.a.a.c,8),d=uG(hyn(r,1),8),(g=new O2(Tln(f.j))).a*=5,g.b*=5,p=YF(new MO(d.a,d.b),w),JF(m=new MO(C0(g.a,p.a),C0(g.b,p.b)),w),lW(Fkn(r,1),m),MK(0!=r.b),v=uG(r.c.b.c,8),k=uG(hyn(r,r.b-2),8),(g=new O2(Tln(l.j))).a*=5,g.b*=5,p=YF(new MO(k.a,k.b),v),JF(y=new MO(C0(g.a,p.a),C0(g.b,p.b)),v),sR(r,r.b-1,y)),h=new jqn(r),Qon(a.a,$Mn(h))}}function fYn(n,t,i,r){var c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I,O,A,L,N,$,D;if(k=(m=uG(zrn((!n.b&&(n.b=new f_(cFt,n,4,7)),n.b),0),84)).nh(),y=m.oh(),v=m.mh()/2,w=m.lh()/2,F$(m,193)&&(k+=h0(p=uG(m,123)).i,k+=h0(p).i),k+=v,y+=w,C=(S=uG(zrn((!n.b&&(n.b=new f_(cFt,n,4,7)),n.b),0),84)).nh(),I=S.oh(),P=S.mh()/2,M=S.lh()/2,F$(S,193)&&(C+=h0(E=uG(S,123)).i,C+=h0(E).i),C+=P,I+=M,0==(!n.a&&(n.a=new fV(oFt,n,6,6)),n.a).i)gj(),u=new is,ttn((!n.a&&(n.a=new fV(oFt,n,6,6)),n.a),u);else if((!n.a&&(n.a=new fV(oFt,n,6,6)),n.a).i>1)for(b=new Zx((!n.a&&(n.a=new fV(oFt,n,6,6)),n.a));b.e!=b.i.gc();)$Sn(b);for(d=C,C>k+v?d=k+v:C<k-v&&(d=k-v),g=I,I>y+w?g=y+w:I<y-w&&(g=y-w),d>k-v&&d<k+v&&g>y-w&&g<y+w&&(d=k+v),Tcn(o=uG(zrn((!n.a&&(n.a=new fV(oFt,n,6,6)),n.a),0),166),d),Ecn(o,g),T=k,k>C+P?T=C+P:k<C-P&&(T=C-P),j=y,y>I+M?j=I+M:y<I-M&&(j=I-M),T>C-P&&T<C+P&&j>I-M&&j<I+M&&(j=I+M),mcn(o,T),jcn(o,j),Czn((!o.a&&(o.a=new MD(eFt,o,5)),o.a)),a=iMn(t,5),m==S&&++a,A=T-d,$=j-g,h=.20000000298023224*e.Math.sqrt(A*A+$*$),L=A/(a+1),D=$/(a+1),O=d,N=g,s=0;s<a;s++)N+=D,(f=(O+=L)+uRn(t,24)*z0n*h-h/2)<0?f=1:f>i&&(f=i-1),(l=N+uRn(t,24)*z0n*h-h/2)<0?l=1:l>r&&(l=r-1),gj(),Scn(c=new ns,f),pcn(c,l),ttn((!o.a&&(o.a=new MD(eFt,o,5)),o.a),c)}function lYn(n){hP(n,new hCn(FT(DT(KT(RT(new bu,ant),"ELK Rectangle Packing"),"Algorithm for packing of unconnected boxes, i.e. graphs without edges. The given order of the boxes is always preserved and the main reading direction of the boxes is left to right. The algorithm is divided into two phases. One phase approximates the width in which the rectangles can be placed. The next phase places the rectangles in rows using the previously calculated width as bounding width and bundles rectangles with a similar height in blocks. A compaction step reduces the size of the drawing. Finally, the rectangles are expanded to fill their bounding box and eliminate empty unused spaces."),new _o))),U4(n,ant,R3n,1.3),U4(n,ant,d4n,(qx(),!1)),U4(n,ant,K3n,fAt),U4(n,ant,o4n,15),U4(n,ant,r9n,Jkn(WOt)),U4(n,ant,p4n,Jkn(eAt)),U4(n,ant,x4n,Jkn(rAt)),U4(n,ant,g4n,Jkn(cAt)),U4(n,ant,m4n,Jkn(tAt)),U4(n,ant,w4n,Jkn(aAt)),U4(n,ant,v4n,Jkn(lAt)),U4(n,ant,J7n,Jkn(pAt)),U4(n,ant,Y7n,Jkn(gAt)),U4(n,ant,Q7n,Jkn(vAt)),U4(n,ant,W7n,Jkn(mAt)),U4(n,ant,Z7n,Jkn(sAt)),U4(n,ant,nnt,Jkn(uAt)),U4(n,ant,tnt,Jkn(oAt)),U4(n,ant,ent,Jkn(dAt)),U4(n,ant,f4n,Jkn(YOt)),U4(n,ant,g9n,Jkn(ZOt)),U4(n,ant,z7n,Jkn(JOt)),U4(n,ant,X7n,Jkn(QOt)),U4(n,ant,V7n,Jkn(nAt)),U4(n,ant,q7n,Jkn(wAt))}function bYn(n,t){var e,i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C;if(pXn(),j=n.e,w=n.d,r=n.a,0==j)switch(t){case 0:return"0";case 1:return N0n;case 2:return"0.00";case 3:return"0.000";case 4:return"0.0000";case 5:return"0.00000";case 6:return"0.000000";default:return(M=new WM).a+=t<0?"0E+":"0E",M.a+=-t,M.a}if(k=Inn(JHt,N1n,28,1+(v=10*w+1+7),15,1),e=v,1==w)if((o=r[0])<0){C=E3(o,L0n);do{d=C,C=bSn(C,10),k[--e]=48+pz($gn(d,Ngn(C,10)))&D1n}while(0!=dwn(C,0))}else{C=o;do{d=C,C=C/10|0,k[--e]=d-10*C+48&D1n}while(0!=C)}else{qGn(r,0,S=Inn(YHt,W1n,28,w,15,1),0,P=w);n:for(;;){for(T=0,s=P-1;s>=0;s--)p=JPn(Lgn(Nz(T,32),E3(S[s],L0n))),S[s]=pz(p),T=pz($z(p,32));m=pz(T),g=e;do{k[--e]=48+m%10&D1n}while(0!=(m=m/10|0)&&0!=e);for(i=9-g+e,u=0;u<i&&e>0;u++)k[--e]=48;for(f=P-1;0==S[f];f--)if(0==f)break n;P=f+1}for(;48==k[e];)++e}if(b=j<0,a=v-e-t-1,0==t)return b&&(k[--e]=45),mvn(k,e,v-e);if(t>0&&a>=-6){if(a>=0){for(h=e+a,l=v-1;l>=h;l--)k[l+1]=k[l];return k[++h]=46,b&&(k[--e]=45),mvn(k,e,v-e+1)}for(f=2;f<1-a;f++)k[--e]=48;return k[--e]=46,k[--e]=48,b&&(k[--e]=45),mvn(k,e,v-e)}return E=e+1,c=v,y=new QM,b&&(y.a+="-"),c-E>=1?(jQ(y,k[e]),y.a+=".",y.a+=mvn(k,e+1,v-e-1)):y.a+=mvn(k,e,v-e),y.a+="E",a>0&&(y.a+="+"),y.a+=""+a,y.a}function wYn(n,t){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y;switch(n.c=t,n.g=new Ym,vP(),Apn(new Ad(new Vy(n.c))),m=mK(zDn(n.c,(fIn(),dLt))),o=uG(zDn(n.c,pLt),324),k=uG(zDn(n.c,mLt),437),c=uG(zDn(n.c,hLt),489),v=uG(zDn(n.c,gLt),438),n.j=uM(pK(zDn(n.c,vLt))),a=n.a,o.g){case 0:a=n.a;break;case 1:a=n.b;break;case 2:a=n.i;break;case 3:a=n.e;break;case 4:a=n.f;break;default:throw hv(new vM(lnt+(null!=o.f?o.f:""+o.g)))}if(n.d=new i0(a,k,c),kfn(n.d,(rsn(),Oht),gK(zDn(n.c,lLt))),n.d.c=oM(gK(zDn(n.c,fLt))),0==wZ(n.c).i)return n.d;for(h=new DD(wZ(n.c));h.e!=h.i.gc();){for(l=(s=uG(Zkn(h),27)).g/2,f=s.f/2,y=new MO(s.i+l,s.j+f);PV(n.g,y);)KR(y,(e.Math.random()-.5)*t4n,(e.Math.random()-.5)*t4n);w=uG(zDn(s,(XYn(),$$t)),140),d=new G0(y,new gY(y.a-l-n.j/2-w.b,y.b-f-n.j/2-w.d,s.g+n.j+(w.b+w.c),s.f+n.j+(w.d+w.a))),kD(n.d.i,d),vJ(n.g,y,new WO(d,s))}switch(v.g){case 0:if(null==m)n.d.d=uG(zq(n.d.i,0),68);else for(p=new Ww(n.d.i);p.a<p.c.c.length;)d=uG(N3(p),68),null!=(b=uG(uG(cQ(n.g,d.a),42).b,27).jh())&&m_(b,m)&&(n.d.d=d);break;case 1:for((i=new MO(n.c.g,n.c.f)).a*=.5,i.b*=.5,KR(i,n.c.i,n.c.j),r=M0n,g=new Ww(n.d.i);g.a<g.c.c.length;)(u=atn((d=uG(N3(g),68)).a,i))<r&&(r=u,n.d.d=d);break;default:throw hv(new vM(lnt+(null!=v.f?v.f:""+v.g)))}return n.d}function dYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g;for(l=0,r=new DD((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));r.e!=r.i.gc();)oM(gK(zDn(i=uG(Zkn(r),27),(jYn(),FMt))))||(xA(zDn(h=R0(i),Syt))===xA((yvn(),Fjt))&&xA(zDn(h,Fyt))!==xA((kvn(),lgt))&&xA(zDn(h,Fyt))!==xA((kvn(),hgt))&&!oM(gK(zDn(h,Cyt)))&&xA(zDn(h,kyt))===xA((Uvn(),tbt))&&xA(zDn(h,yMt))!==xA((THn(),Pjt))&&xA(zDn(h,yMt))!==xA((THn(),Cjt))&&xA(zDn(h,MMt))!==xA((MKn(),JTt))&&xA(zDn(h,MMt))!==xA((MKn(),ZTt))||oM(gK(zDn(i,jyt)))||(Myn(i,(GYn(),imt),xwn(l)),++l),RJn(n,i,e));for(l=0,s=new DD((!t.b&&(t.b=new 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c,a,o,u,s,h,f,l,b,w,d,g,p;for(d=!1,u=!1,l=n+1,u3(n,t.c.length),o=(w=uG(t.c[n],186)).a,s=null,a=0;a<w.a.c.length;a++)if(u3(a,o.c.length),!(c=uG(o.c[a],172)).c)if(0!=c.b.c.length){if(c.k||(s&&OTn(s),oMn(c,(s=new r0(s?s.e+s.d+i:0,w.f,i)).e+s.d,w.f),kD(w.d,s),Gun(s,c),c.k=!0),h=null,p=null,a<w.a.c.length-1?p=uG(zq(w.a,a+1),172):l<t.c.length&&0!=(u3(l,t.c.length),uG(t.c[l],186)).a.c.length&&(p=uG(zq((u3(l,t.c.length),uG(t.c[l],186)).a,0),172)),g=!1,(h=p)&&(g=!udn(h.j,w)),h){if(0==h.b.c.length||oM(gK(uG(zq(h.b,0),27).of((S_n(),nAt))))){uEn(w,h);break}if(dtn(c,e-c.s),OTn(c.q),d|=FIn(w,c,h,e,i),0==h.b.c.length)for(t.c.length>l&&uEn((u3(l,t.c.length),uG(t.c[l],186)),h),h=null;t.c.length>l&&0==(u3(l,t.c.length),uG(t.c[l],186)).a.c.length;)men(t,(u3(l,t.c.length),t.c[l]));if(!h){--a;continue}if(!oM(gK(uG(zq(h.b,0),27).of((S_n(),nAt))))&&HUn(t,w,c,h,g,e,l,i)){d=!0;continue}if(g){if(b=w.b,f=h.f,!oM(gK(uG(zq(h.b,0),27).of(nAt)))&&EVn(t,w,c,h,e,l,i,r)){if(d=!0,b<f){u=!0,h.j=w;break}continue}if(Ybn(w,c)){c.c=!0,d=!0;continue}}else if(Ybn(w,c)){c.c=!0,d=!0;continue}if(d)continue}Ybn(w,c)?(c.c=!0,d=!0,h&&(h.k=!1)):OTn(c.q)}else bS(),String.fromCharCode(10),uEn(w,c),--a,d=!0;return new WO((qx(),!!d),!!u)}function jYn(){jYn=E,XYn(),lTt=jDt,bTt=EDt,wTt=SDt,dTt=PDt,pTt=CDt,mTt=IDt,yTt=ADt,TTt=NDt,jTt=$Dt,MTt=LDt,ETt=DDt,PTt=xDt,ITt=FDt,kTt=ODt,VYn(),fTt=Akt,gTt=Lkt,vTt=Nkt,STt=$kt,cTt=new _N(vDt,xwn(0)),aTt=Ckt,oTt=Ikt,uTt=Okt,qTt=ryt,RTt=Rkt,KTt=_kt,BTt=Vkt,FTt=Ukt,_Tt=qkt,zTt=syt,XTt=ayt,UTt=nyt,HTt=Ykt,GTt=eyt,LMt=vkt,NMt=kkt,Zyt=Ovt,nMt=Nvt,NTt=HDt,DTt=XDt,LTt=BDt,ATt=_Dt,Iwn(),new _N(UDt,$Tt=fKt),BMt=new CN(12),_Mt=new _N(W$t,BMt),_gn(),Vyt=new _N(k$t,Wyt=uxt),QMt=new _N(uDt,0),sTt=new _N(kDt,xwn(1)),dyt=new _N(c$t,r4n),FMt=z$t,JMt=sDt,eTt=gDt,_yt=w$t,byt=i$t,rMt=E$t,hTt=new _N(TDt,(qx(),!0)),sMt=C$t,hMt=I$t,DMt=_$t,KMt=q$t,xMt=H$t,xdn(),Byt=new _N(d$t,Uyt=ZDt),PMt=K$t,SMt=x$t,nTt=bDt,ZMt=lDt,tTt=dDt,Vkn(),new _N(tDt,GMt=tRt),XMt=rDt,zMt=cDt,VMt=aDt,qMt=iDt,xTt=xkt,MMt=rkt,yMt=ekt,OTt=Dkt,gMt=Vvt,Fyt=gvt,Kyt=wvt,Cyt=Jmt,Iyt=Ymt,Ayt=ivt,Oyt=Zmt,Ryt=lvt,jMt=akt,EMt=okt,lMt=Bvt,$Mt=jkt,IMt=fkt,eMt=xvt,AMt=pkt,Jyt=Svt,Yyt=Cvt,Pyt=l$t,CMt=ukt,vyt=Fmt,myt=Rmt,pyt=xmt,aMt=Fvt,cMt=Kvt,oMt=_vt,RMt=U$t,bMt=L$t,tMt=M$t,Xyt=m$t,qyt=p$t,Lyt=avt,YMt=fDt,gyt=f$t,uMt=P$t,WMt=oDt,HMt=J$t,UMt=Z$t,mMt=Jvt,vMt=Zvt,rTt=mDt,wyt=Dmt,kMt=tkt,zyt=Mvt,Gyt=kvt,TMt=$$t,wMt=qvt,OMt=wkt,CTt=RDt,Hyt=mvt,iTt=Skt,Qyt=jvt,Nyt=uvt,$yt=svt,dMt=zvt,Dyt=hvt,fMt=A$t,pMt=Qvt,xyt=fvt,Syt=Wmt,Tyt=qmt,yyt=Umt,Myt=Gmt,jyt=zmt,kyt=Bmt,Eyt=Vmt,iMt=Rvt}function EYn(n){var t,e,i;if(n.d>=n.j)return n.a=-1,void(n.c=1);if(t=VJ(n.i,n.d++),n.a=t,1!=n.b){switch(t){case 124:i=2;break;case 42:i=3;break;case 43:i=4;break;case 63:i=5;break;case 41:i=7;break;case 46:i=8;break;case 91:i=9;break;case 94:i=11;break;case 36:i=12;break;case 40:if(i=6,n.d>=n.j)break;if(63!=VJ(n.i,n.d))break;if(++n.d>=n.j)throw hv(new CM(rZn((t$(),iit))));switch(t=VJ(n.i,n.d++)){case 58:i=13;break;case 61:i=14;break;case 33:i=15;break;case 91:i=19;break;case 62:i=18;break;case 60:if(n.d>=n.j)throw hv(new CM(rZn((t$(),iit))));if(61==(t=VJ(n.i,n.d++)))i=16;else{if(33!=t)throw hv(new CM(rZn((t$(),rit))));i=17}break;case 35:for(;n.d<n.j&&41!=(t=VJ(n.i,n.d++)););if(41!=t)throw hv(new CM(rZn((t$(),cit))));i=21;break;default:if(45==t||97<=t&&t<=122||65<=t&&t<=90){--n.d,i=22;break}if(40==t){i=23;break}throw hv(new CM(rZn((t$(),iit))))}break;case 92:if(i=10,n.d>=n.j)throw hv(new CM(rZn((t$(),eit))));n.a=VJ(n.i,n.d++);break;default:i=0}n.c=i}else{switch(t){case 92:if(i=10,n.d>=n.j)throw hv(new CM(rZn((t$(),eit))));n.a=VJ(n.i,n.d++);break;case 45:512==(512&n.e)&&n.d<n.j&&91==VJ(n.i,n.d)?(++n.d,i=24):i=0;break;case 91:if(512!=(512&n.e)&&n.d<n.j&&58==VJ(n.i,n.d)){++n.d,i=20;break}default:(64512&t)==C0n&&n.d<n.j&&56320==(64512&(e=VJ(n.i,n.d)))&&(n.a=P0n+(t-C0n<<10)+e-56320,++n.d),i=0}n.c=i}}function SYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g;if(e.Ug("Process compaction",1),oM(gK(oIn(t,(QGn(),iCt))))){for(r=uG(oIn(t,cCt),88),b=uM(pK(oIn(t,ECt))),AXn(n,t,r),fJn(t,b/2/2),Lon(w=t.b,new jp(r)),s=Fkn(w,0);s.b!=s.d.c;)if(!oM(gK(oIn(u=uG(I6(s),39),(OQn(),UPt))))){if(i=hBn(u,r),d=mqn(u,t),f=0,l=0,i)switch(g=i.e,r.g){case 2:f=g.a-b-u.f.a,d.e.a-b-u.f.a<f&&(f=d.e.a-b-u.f.a),l=f+u.f.a;break;case 1:f=g.a+i.f.a+b,d.e.a+b>f&&(f=d.e.a+d.f.a+b),l=f+u.f.a;break;case 4:f=g.b-b-u.f.b,d.e.b-b-u.f.b<f&&(f=d.e.b-b-u.f.b),l=f+u.f.b;break;case 3:f=g.b+i.f.b+b,d.e.b+b>f&&(f=d.e.b+d.f.b+b),l=f+u.f.b}else if(d)switch(r.g){case 2:l=(f=d.e.a-b-u.f.a)+u.f.a;break;case 1:l=(f=d.e.a+d.f.a+b)+u.f.a;break;case 4:l=(f=d.e.b-b-u.f.b)+u.f.b;break;case 3:l=(f=d.e.b+d.f.b+b)+u.f.b}xA(oIn(t,uCt))===xA((Pln(),wPt))?(c=f,a=l,null!=(o=lln(JJ(new fX(null,new h3(n.a,16)),new GI(c,a)))).a?r==(xdn(),JDt)||r==YDt?u.e.a=f:u.e.b=f:null!=(o=r==(xdn(),JDt)||r==nxt?lln(JJ(Wrn(new fX(null,new h3(n.a,16))),new Ep(c))):lln(JJ(Wrn(new fX(null,new h3(n.a,16))),new Sp(c)))).a&&(r==JDt||r==YDt?u.e.a=uM(pK((MK(null!=o.a),uG(o.a,42)).a)):u.e.b=uM(pK((MK(null!=o.a),uG(o.a,42)).a))),null!=o.a&&(h=Ten(n.a,(MK(null!=o.a),o.a),0))>0&&h!=uG(oIn(u,ACt),17).a&&(kfn(u,MPt,(qx(),!0)),kfn(u,ACt,xwn(h)))):r==(xdn(),JDt)||r==YDt?u.e.a=f:u.e.b=f}e.Vg()}}function PYn(n){var t,e,i,r,c,a,o,u;for(n.b=1,EYn(n),t=null,0==n.c&&94==n.a?(EYn(n),QYn(),QYn(),HFn(t=new K3(4),0,zct),a=new K3(4)):(QYn(),QYn(),a=new K3(4)),r=!0;1!=(u=n.c);){if(0==u&&93==n.a&&!r){t&&(lWn(t,a),a=t);break}if(e=n.a,i=!1,10==u)switch(e){case 100:case 68:case 119:case 87:case 115:case 83:TXn(a,MUn(e)),i=!0;break;case 105:case 73:case 99:case 67:TXn(a,MUn(e)),(e=-1)<0&&(i=!0);break;case 112:case 80:if(!(o=PNn(n,e)))throw hv(new CM(rZn((t$(),git))));TXn(a,o),i=!0;break;default:e=R_n(n)}else if(24==u&&!r){if(t&&(lWn(t,a),a=t),lWn(a,PYn(n)),0!=n.c||93!=n.a)throw hv(new CM(rZn((t$(),kit))));break}if(EYn(n),!i){if(0==u){if(91==e)throw hv(new CM(rZn((t$(),yit))));if(93==e)throw hv(new CM(rZn((t$(),Mit))));if(45==e&&!r&&93!=n.a)throw hv(new CM(rZn((t$(),Tit))))}if(0!=n.c||45!=n.a||45==e&&r)HFn(a,e,e);else{if(EYn(n),1==(u=n.c))throw hv(new CM(rZn((t$(),mit))));if(0==u&&93==n.a)HFn(a,e,e),HFn(a,45,45);else{if(0==u&&93==n.a||24==u)throw hv(new CM(rZn((t$(),Tit))));if(c=n.a,0==u){if(91==c)throw hv(new CM(rZn((t$(),yit))));if(93==c)throw hv(new CM(rZn((t$(),Mit))));if(45==c)throw hv(new CM(rZn((t$(),Tit))))}else 10==u&&(c=R_n(n));if(EYn(n),e>c)throw hv(new CM(rZn((t$(),Sit))));HFn(a,e,c)}}}r=!1}if(1==n.c)throw hv(new CM(rZn((t$(),mit))));return pxn(a),szn(a),n.b=0,EYn(n),a}function CYn(n,t,e){var i,r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k,y,M;if(e.Ug("Coffman-Graham Layering",1),0!=t.a.c.length){for(M=uG(oIn(t,(jYn(),wMt)),17).a,u=0,a=0,b=new Ww(t.a);b.a<b.c.c.length;)for((l=uG(N3(b),10)).p=u++,c=new Fz(ix(Xgn(l).a.Kc(),new 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h));hDn(c);)r=uG(N9(c),18),n.a[r.p]||(g=r.c.i,--n.e[g.p],0==n.e[g.p]&&kG(_Cn(w,g),D0n));for(s=f.c.length-1;s>=0;--s)kD(t.b,(u3(s,f.c.length),uG(f.c[s],30)));t.a.c.length=0,e.Vg()}else e.Vg()}function IYn(n,t){var e,i,r,c,a,o,u,s,f,l,b,w,d,g,p,m,v,k;k=!1;do{for(k=!1,c=t?new Lw(n.a.b).a.gc()-2:1;t?c>=0:c<new Lw(n.a.b).a.gc();c+=t?-1:1)for(r=W6(n.a,xwn(c)),b=0;b<r.b;b++)if(vR(f=uG(hyn(r,b),10),(GYn(),imt))&&!(VSn(n.a,xwn(c))&&n.r==(THn(),Pjt)||WSn(n.a,xwn(c))&&n.r==(THn(),Cjt))){for(v=!0,p=0;p<r.b;p++)vR(g=uG(hyn(r,p),10),imt)&&(t&&uG(oIn(f,imt),17).a<uG(oIn(g,imt),17).a||!t&&uG(oIn(f,imt),17).a>uG(oIn(g,imt),17).a)&&(v=!1);if(v){for(o=t?c+1:c-1,a=!1,m=!0,i=!1,s=Fkn(W6(n.a,xwn(o)),0);s.b!=s.d.c;)vR(u=uG(I6(s),10),imt)?u.p!=f.p&&(a|=t?uG(oIn(u,imt),17).a<uG(oIn(f,imt),17).a:uG(oIn(u,imt),17).a>uG(oIn(f,imt),17).a,m=!1):!a&&m&&u.k==(zIn(),bbt)&&(i=!0,(l=t?uG(N9(new Fz(ix(qgn(u).a.Kc(),new h))),18).c.i:uG(N9(new Fz(ix(Xgn(u).a.Kc(),new h))),18).d.i)==f&&(e=t?uG(N9(new Fz(ix(Xgn(u).a.Kc(),new 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Ww(n);s.a<s.c.c.length;){for(o=uG(N3(s),121),v=0,d=vZn,g=vZn,b=j1n,w=j1n,m=Fkn(o.b,0);m.b!=m.d.c;)p=uG(I6(m),39),v+=uG(oIn(p,(QGn(),yCt)),17).a,d=e.Math.min(d,p.e.a),g=e.Math.min(g,p.e.b),b=e.Math.max(b,p.e.a+p.f.a),w=e.Math.max(w,p.e.b+p.f.b);kfn(o,(QGn(),yCt),xwn(v)),kfn(o,(OQn(),kPt),new MO(d,g)),kfn(o,vPt,new MO(b,w))}for(hZ(),f$(n,new Ta),zsn(y=new L7,(u3(0,n.c.length),uG(n.c[0],96))),l=0,S=0,h=new Ww(n);h.a<h.c.c.length;)o=uG(N3(h),121),M=YF(D$(uG(oIn(o,(OQn(),vPt)),8)),uG(oIn(o,kPt),8)),l=e.Math.max(l,M.a),S+=M.a*M.b;for(l=e.Math.max(l,e.Math.sqrt(S)*uM(pK(oIn(y,(QGn(),eCt))))),P=0,C=0,f=0,t=T=uM(pK(oIn(y,ECt))),u=new Ww(n);u.a<u.c.c.length;)o=uG(N3(u),121),P+(M=YF(D$(uG(oIn(o,(OQn(),vPt)),8)),uG(oIn(o,kPt),8))).a>l&&(P=0,C+=f+T,f=0),rUn(y,o,P,C),t=e.Math.max(t,P+M.a),f=e.Math.max(f,M.b),P+=M.a+T;for(k=new Ym,i=new Ym,E=new Ww(n);E.a<E.c.c.length;)for(r=oM(gK(oIn(j=uG(N3(E),121),(XYn(),w$t)))),a=(j.q?j.q:Vot).vc().Kc();a.Ob();)PV(k,(c=uG(a.Pb(),44)).ld())?xA(uG(c.ld(),149).Sg())!==xA(c.md())&&(r&&PV(i,c.ld())?(bS(),uG(c.ld(),149).Pg(),String.fromCharCode(10)):(vJ(k,uG(c.ld(),149),c.md()),kfn(y,uG(c.ld(),149),c.md()),r&&vJ(i,uG(c.ld(),149),c.md()))):(vJ(k,uG(c.ld(),149),c.md()),kfn(y,uG(c.ld(),149),c.md()));return ySn(y),y}function xYn(n,t){switch(n.e){case 0:case 2:case 4:case 6:case 42:case 44:case 46:case 48:case 8:case 10:case 12:case 14:case 16:case 18:case 20:case 22:case 24:case 26:case 28:case 30:case 32:case 34:case 36:case 38:return new yZ(n.b,n.a,t,n.c);case 1:return new TD(n.a,t,emn(t.Dh(),n.c));case 43:return new CD(n.a,t,emn(t.Dh(),n.c));case 3:return new MD(n.a,t,emn(t.Dh(),n.c));case 45:return new PD(n.a,t,emn(t.Dh(),n.c));case 41:return new ltn(uG(bEn(n.c),29),n.a,t,emn(t.Dh(),n.c));case 50:return new xan(uG(bEn(n.c),29),n.a,t,emn(t.Dh(),n.c));case 5:return new r_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 47:return new c_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 7:return new fV(n.a,t,emn(t.Dh(),n.c),n.d.n);case 49:return new i_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 9:return new SD(n.a,t,emn(t.Dh(),n.c));case 11:return new ED(n.a,t,emn(t.Dh(),n.c));case 13:return new jD(n.a,t,emn(t.Dh(),n.c));case 15:return new _G(n.a,t,emn(t.Dh(),n.c));case 17:return new AD(n.a,t,emn(t.Dh(),n.c));case 19:return new OD(n.a,t,emn(t.Dh(),n.c));case 21:return new ID(n.a,t,emn(t.Dh(),n.c));case 23:return new FG(n.a,t,emn(t.Dh(),n.c));case 25:return new l_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 27:return new f_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 29:return new s_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 31:return new a_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 33:return new h_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 35:return new u_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 37:return new o_(n.a,t,emn(t.Dh(),n.c),n.d.n);case 39:return new wV(n.a,t,emn(t.Dh(),n.c),n.d.n);case 40:return new wsn(t,emn(t.Dh(),n.c));default:throw hv(new Ky("Unknown feature style: "+n.e))}}function RYn(n){var t,e,i,r,c,a,o,u;for(c=0,r=n.a.b,u=Fkn(n.a,0);u.b!=u.d.c;){if(o=uG(I6(u),240),a=(c+1)/(r+1),!n.c&&!n.d)return;n.c&&!n.d?(n.g=!0,n.b==(xdn(),JDt)?(i=n.c.e.b+n.c.f.b+n.e*(c+1),t=new MO(uM(pK(oIn(n.c,(OQn(),$Pt))))+n.e,i),e=new MO(uM(pK(oIn(n.c,DPt)))-n.e,i)):n.b==YDt?(i=n.c.e.b+n.c.f.b+n.e*(c+1),t=new MO(uM(pK(oIn(n.c,(OQn(),DPt))))-n.e,i),e=new MO(uM(pK(oIn(n.c,$Pt)))+n.e,i)):n.b==nxt?(t=new MO(i=n.c.e.a+n.c.f.a+n.e*(c+1),uM(pK(oIn(n.c,(OQn(),$Pt))))+n.e),e=new MO(i,uM(pK(oIn(n.c,DPt)))-n.e)):(t=new MO(i=n.c.e.a+n.c.f.a+n.e*(c+1),uM(pK(oIn(n.c,(OQn(),DPt))))-n.e),e=new MO(i,uM(pK(oIn(n.c,$Pt)))+n.e))):n.c&&n.d?n.b==(xdn(),JDt)?(i=n.d.e.b*a+(n.c.e.b+n.c.f.b)*(1-a),t=new MO(uM(pK(oIn(n.c,(OQn(),$Pt))))+n.e,i),e=new MO(uM(pK(oIn(n.c,DPt)))-n.e,i)):n.b==YDt?(i=n.d.e.b*a+(n.c.e.b+n.c.f.b)*(1-a),t=new MO(uM(pK(oIn(n.c,(OQn(),DPt))))-n.e,i),e=new MO(uM(pK(oIn(n.c,$Pt)))+n.e,i)):n.b==nxt?(t=new MO(i=n.d.e.a*a+(n.c.e.a+n.c.f.a)*(1-a),uM(pK(oIn(n.c,(OQn(),$Pt))))+n.e),e=new MO(i,uM(pK(oIn(n.c,DPt)))-n.e)):(t=new MO(i=n.d.e.a*a+(n.c.e.a+n.c.f.a)*(1-a),uM(pK(oIn(n.c,(OQn(),DPt))))-n.e),e=new MO(i,uM(pK(oIn(n.c,$Pt)))+n.e)):(n.f=!0,n.b==(xdn(),JDt)?(i=n.d.e.b-n.e*(c+1),t=new MO(uM(pK(oIn(n.d,(OQn(),$Pt))))+n.e,i),e=new MO(uM(pK(oIn(n.d,DPt)))-n.e,i)):n.b==YDt?(i=n.d.e.b-n.e*(c+1),t=new MO(uM(pK(oIn(n.d,(OQn(),DPt))))-n.e,i),e=new MO(uM(pK(oIn(n.d,$Pt)))+n.e,i)):n.b==nxt?(t=new MO(i=n.d.e.a-n.e*(c+1),uM(pK(oIn(n.d,(OQn(),$Pt))))+n.e),e=new MO(i,uM(pK(oIn(n.d,DPt)))-n.e)):(t=new MO(i=n.d.e.a-n.e*(c+1),uM(pK(oIn(n.d,(OQn(),DPt))))-n.e),e=new MO(i,uM(pK(oIn(n.d,$Pt)))+n.e))),uG(o.a,8).a=t.a,uG(o.a,8).b=t.b,o.b.a=e.a,o.b.b=e.b,++c}}function KYn(n,t,e,i,r,c){var a,o,u,s,h,f,l;switch(t){case 71:a=i.q.getFullYear()-V1n>=-1900?1:0,JA(n,e>=4?Uhn(cT($ot,1),zZn,2,6,[Q1n,J1n])[a]:Uhn(cT($ot,1),zZn,2,6,["BC","AD"])[a]);break;case 121:Kkn(n,e,i);break;case 77:tUn(n,e,i);break;case 107:Fen(n,0==(o=r.q.getHours())?24:o,e);break;case 83:PRn(n,e,r);break;case 69:u=i.q.getDay(),JA(n,5==e?Uhn(cT($ot,1),zZn,2,6,["S","M","T","W","T","F","S"])[u]:4==e?Uhn(cT($ot,1),zZn,2,6,[Y1n,Z1n,n0n,t0n,e0n,i0n,r0n])[u]:Uhn(cT($ot,1),zZn,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[u]);break;case 97:r.q.getHours()>=12&&r.q.getHours()<24?JA(n,Uhn(cT($ot,1),zZn,2,6,["AM","PM"])[1]):JA(n,Uhn(cT($ot,1),zZn,2,6,["AM","PM"])[0]);break;case 104:Fen(n,0==(s=r.q.getHours()%12)?12:s,e);break;case 75:Fen(n,r.q.getHours()%12,e);break;case 72:Fen(n,r.q.getHours(),e);break;case 99:h=i.q.getDay(),5==e?JA(n,Uhn(cT($ot,1),zZn,2,6,["S","M","T","W","T","F","S"])[h]):4==e?JA(n,Uhn(cT($ot,1),zZn,2,6,[Y1n,Z1n,n0n,t0n,e0n,i0n,r0n])[h]):3==e?JA(n,Uhn(cT($ot,1),zZn,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[h]):Fen(n,h,1);break;case 76:f=i.q.getMonth(),5==e?JA(n,Uhn(cT($ot,1),zZn,2,6,["J","F","M","A","M","J","J","A","S","O","N","D"])[f]):4==e?JA(n,Uhn(cT($ot,1),zZn,2,6,[x1n,R1n,K1n,F1n,_1n,B1n,H1n,U1n,G1n,q1n,X1n,z1n])[f]):3==e?JA(n,Uhn(cT($ot,1),zZn,2,6,["Jan","Feb","Mar","Apr",_1n,"Jun","Jul","Aug","Sep","Oct","Nov","Dec"])[f]):Fen(n,f+1,e);break;case 81:l=i.q.getMonth()/3|0,JA(n,e<4?Uhn(cT($ot,1),zZn,2,6,["Q1","Q2","Q3","Q4"])[l]:Uhn(cT($ot,1),zZn,2,6,["1st quarter","2nd quarter","3rd quarter","4th quarter"])[l]);break;case 100:Fen(n,i.q.getDate(),e);break;case 109:Fen(n,r.q.getMinutes(),e);break;case 115:Fen(n,r.q.getSeconds(),e);break;case 122:JA(n,e<4?c.c[0]:c.c[1]);break;case 118:JA(n,c.b);break;case 90:JA(n,e<3?GLn(c):3==e?rNn(c):cNn(c.a));break;default:return!1}return!0}function FYn(n,t,e,i){var r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C;if(iHn(t),u=uG(zrn((!t.b&&(t.b=new f_(cFt,t,4,7)),t.b),0),84),h=uG(zrn((!t.c&&(t.c=new f_(cFt,t,5,8)),t.c),0),84),o=lCn(u),s=lCn(h),a=0==(!t.a&&(t.a=new fV(oFt,t,6,6)),t.a).i?null:uG(zrn((!t.a&&(t.a=new fV(oFt,t,6,6)),t.a),0),166),M=uG(cQ(n.a,o),10),S=uG(cQ(n.a,s),10),T=null,P=null,F$(u,193)&&(F$(y=uG(cQ(n.a,u),304),12)?T=uG(y,12):F$(y,10)&&(M=uG(y,10),T=uG(zq(M.j,0),12))),F$(h,193)&&(F$(E=uG(cQ(n.a,h),304),12)?P=uG(E,12):F$(E,10)&&(S=uG(E,10),P=uG(zq(S.j,0),12))),!M||!S)throw hv(new EM("The source or the target of edge "+t+" could not be found. This usually happens when an edge connects a node laid out by ELK Layered to a node in another level of hierarchy laid out by either another instance of ELK Layered or another layout algorithm alltogether. The former can be solved by setting the hierarchyHandling option to INCLUDE_CHILDREN."));for(zsn(d=new UZ,t),kfn(d,(GYn(),rmt),t),kfn(d,(jYn(),bMt),null),b=uG(oIn(i,Hpt),21),M==S&&b.Fc((r_n(),opt)),T||(can(),k=Wjt,j=null,a&&sN(uG(oIn(M,JMt),101))&&($5(j=new MO(a.j,a.k),s0(t)),Q8(j,e),Ern(s,o)&&(k=Vjt,JF(j,M.n))),T=LXn(M,j,k,i)),P||(can(),k=Vjt,C=null,a&&sN(uG(oIn(S,JMt),101))&&($5(C=new MO(a.b,a.c),s0(t)),Q8(C,e)),P=LXn(S,C,k,HQ(S))),c2(d,T),u2(d,P),(T.e.c.length>1||T.g.c.length>1||P.e.c.length>1||P.g.c.length>1)&&b.Fc((r_n(),ept)),l=new DD((!t.n&&(t.n=new fV(lFt,t,1,7)),t.n));l.e!=l.i.gc();)if(!oM(gK(zDn(f=uG(Zkn(l),135),FMt)))&&f.a)switch(g=own(f),kD(d.b,g),uG(oIn(g,Xyt),278).g){case 1:case 2:b.Fc((r_n(),npt));break;case 0:b.Fc((r_n(),Ygt)),kfn(g,Xyt,(Zrn(),ixt))}if(c=uG(oIn(i,Kyt),322),p=uG(oIn(i,$Mt),323),r=c==(jan(),Ydt)||p==(pyn(),kjt),a&&0!=(!a.a&&(a.a=new MD(eFt,a,5)),a.a).i&&r){for(m=COn(a),w=new Uk,v=Fkn(m,0);v.b!=v.d.c;)aq(w,new eN(uG(I6(v),8)));kfn(d,cmt,w)}return d}function _Yn(n,t,e,i){var r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I;for(j=0,E=0,M=new Ym,k=uG(yx(Wz(YJ(new fX(null,new h3(n.b,16)),new io),new fo)),17).a+1,T=Inn(YHt,W1n,28,k,15,1),d=Inn(YHt,W1n,28,k,15,1),w=0;w<k;w++)T[w]=0,d[w]=0;for(s=uG(l8(_0(new fX(null,new h3(n.a,16))),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[(ybn(),Iut)]))),15).Kc();s.Ob();)if(u=uG(s.Pb(),65),P=uG(oIn(u.b,(QGn(),ACt)),17).a,(v=(I=uG(oIn(u.c,ACt),17).a)-P)>1)for(o=P+1;o<I;o++){if(h=o,y=uG(l8(JJ(new fX(null,new h3(n.b,16)),new Np(h)),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[Iut]))),15),b=0,t==(xdn(),JDt)||t==YDt){for(y.jd(new so),b=0;b<y.gc()&&(g=(o-P)/(I-P),!(uG(y.Xb(b),39).e.b>u.b.e.b*(1-g)+u.c.e.b*g));b++);if(y.gc()>0){if(C=0==u.a.b?D$(u.b.e):uG(pR(u.a),8),m=JF(D$(uG(y.Xb(y.gc()-1),39).e),uG(y.Xb(y.gc()-1),39).f),f=JF(D$(uG(y.Xb(0),39).e),uG(y.Xb(0),39).f),b>=y.gc()-1&&C.b>m.b&&u.c.e.b>m.b)continue;if(b<=0&&C.b<f.a&&u.c.e.b<f.b)continue}}else{for(y.jd(new ho),b=0;b<y.gc()&&(g=(o-P)/(I-P),!(uG(y.Xb(b),39).e.a>u.b.e.a*(1-g)+u.c.e.a*g));b++);if(y.gc()>0){if(C=0==u.a.b?D$(u.b.e):uG(pR(u.a),8),m=JF(D$(uG(y.Xb(y.gc()-1),39).e),uG(y.Xb(y.gc()-1),39).f),f=JF(D$(uG(y.Xb(0),39).e),uG(y.Xb(0),39).f),b>=y.gc()-1&&C.a>m.a&&u.c.e.a>m.a)continue;if(b<=0&&C.a<f.a&&u.c.e.a<f.a)continue}}r=new sj,c=new sj,aq(u.a,r),aq(u.a,c),a=new LU(r,c,u),PV(M,Hvn(p=S3(Nz(o,32),E3(b,L0n))))?(aq((l=uG(cQ(M,Hvn(p)),675)).a,a),hN(l.b)?Lon(l.a,new vo):Lon(l.a,new ko),RYn(l)):(l=new wTn(0==b?null:uG(y.Xb(b-1),39),b==y.gc()?null:uG(y.Xb(b),39),a,n),vJ(M,Hvn(p),l)),t==JDt||t==YDt?(l.f&&l.d.e.b<=uM(pK(oIn(n,(OQn(),IPt))))&&++j,l.g&&l.c.e.b+l.c.f.b>=uM(pK(oIn(n,(OQn(),CPt))))&&++E):(l.f&&l.d.e.a<=uM(pK(oIn(n,(OQn(),PPt))))&&++j,l.g&&l.c.e.a+l.c.f.a>=uM(pK(oIn(n,(OQn(),SPt))))&&++E)}else 0==v?hNn(u):v<0&&(++T[P],++d[I],j=uG((S=AYn(u,t,n,new WO(xwn(j),xwn(E)),e,i,new WO(xwn(d[I]),xwn(T[P])))).a,17).a,E=uG(S.b,17).a)}function BYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m;if(i=t,u=e,n.b&&i.j==(KQn(),_Rt)&&u.j==(KQn(),_Rt)&&(m=i,i=u,u=m),PV(n.a,i)){if(cS(uG(cQ(n.a,i),49),u))return 1}else vJ(n.a,i,new ek);if(PV(n.a,u)){if(cS(uG(cQ(n.a,u),49),i))return-1}else vJ(n.a,u,new ek);if(PV(n.d,i)){if(cS(uG(cQ(n.d,i),49),u))return-1}else vJ(n.d,i,new ek);if(PV(n.d,u)){if(cS(uG(cQ(n.a,u),49),i))return 1}else vJ(n.d,u,new ek);if(i.j!=u.j)return-1==(p=bN(i.j,u.j))?hHn(n,u,i):hHn(n,i,u),p;if(0!=i.e.c.length&&0!=u.e.c.length){if(n.b&&0!=(p=Dbn(i,u)))return-1==p?hHn(n,u,i):1==p&&hHn(n,i,u),p;if((c=uG(zq(i.e,0),18).c.i)==(h=uG(zq(u.e,0),18).c.i))return(r=uG(oIn(uG(zq(i.e,0),18),(GYn(),imt)),17).a)>(s=uG(oIn(uG(zq(u.e,0),18),imt),17).a)?hHn(n,i,u):hHn(n,u,i),r<s?-1:r>s?1:0;for(d=0,g=(w=n.c).length;d<g;++d){if((b=w[d])==c)return hHn(n,i,u),1;if(b==h)return hHn(n,u,i),-1}}return 0!=i.g.c.length&&0!=u.g.c.length?(o=uG(oIn(i,(GYn(),tmt)),10),l=uG(oIn(u,tmt),10),n.e==(yvn(),Bjt)&&o&&l&&vR(o,imt)&&vR(l,imt)?((r=uG(oIn(o,imt),17).a)>(s=uG(oIn(l,imt),17).a)?hHn(n,i,u):hHn(n,u,i),r<s?-1:r>s?1:0):n.b&&0!=(p=Dbn(i,u))?(-1==p?hHn(n,u,i):1==p&&hHn(n,i,u),p):(a=0,f=0,vR(uG(zq(i.g,0),18),imt)&&(a=uG(oIn(uG(zq(i.g,0),18),imt),17).a),vR(uG(zq(u.g,0),18),imt)&&(f=uG(oIn(uG(zq(i.g,0),18),imt),17).a),o&&o==l?oM(gK(oIn(uG(zq(i.g,0),18),pmt)))&&!oM(gK(oIn(uG(zq(u.g,0),18),pmt)))?(hHn(n,i,u),1):!oM(gK(oIn(uG(zq(i.g,0),18),pmt)))&&oM(gK(oIn(uG(zq(u.g,0),18),pmt)))?(hHn(n,u,i),-1):(a>f?hHn(n,i,u):hHn(n,u,i),a<f?-1:a>f?1:0):(n.f&&(n.f._b(o)&&(a=uG(n.f.xc(o),17).a),n.f._b(l)&&(f=uG(n.f.xc(l),17).a)),a>f?hHn(n,i,u):hHn(n,u,i),a<f?-1:a>f?1:0))):0!=i.e.c.length&&0!=u.g.c.length?(hHn(n,i,u),1):0!=i.g.c.length&&0!=u.e.c.length?(hHn(n,u,i),-1):vR(i,(GYn(),imt))&&vR(u,imt)?((r=uG(oIn(i,imt),17).a)>(s=uG(oIn(u,imt),17).a)?hHn(n,i,u):hHn(n,u,i),r<s?-1:r>s?1:0):(hHn(n,u,i),-1)}function HYn(n){n.gb||(n.gb=!0,n.b=Nsn(n,0),Von(n.b,18),Won(n.b,19),n.a=Nsn(n,1),Von(n.a,1),Won(n.a,2),Won(n.a,3),Won(n.a,4),Won(n.a,5),n.o=Nsn(n,2),Von(n.o,8),Von(n.o,9),Won(n.o,10),Won(n.o,11),Won(n.o,12),Won(n.o,13),Won(n.o,14),Won(n.o,15),Won(n.o,16),Won(n.o,17),Won(n.o,18),Won(n.o,19),Won(n.o,20),Won(n.o,21),Won(n.o,22),Won(n.o,23),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),rrn(n.o),n.p=Nsn(n,3),Von(n.p,2),Von(n.p,3),Von(n.p,4),Von(n.p,5),Won(n.p,6),Won(n.p,7),rrn(n.p),rrn(n.p),n.q=Nsn(n,4),Von(n.q,8),n.v=Nsn(n,5),Won(n.v,9),rrn(n.v),rrn(n.v),rrn(n.v),n.w=Nsn(n,6),Von(n.w,2),Von(n.w,3),Von(n.w,4),Won(n.w,5),n.B=Nsn(n,7),Won(n.B,1),rrn(n.B),rrn(n.B),rrn(n.B),n.Q=Nsn(n,8),Won(n.Q,0),rrn(n.Q),n.R=Nsn(n,9),Von(n.R,1),n.S=Nsn(n,10),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),rrn(n.S),n.T=Nsn(n,11),Won(n.T,10),Won(n.T,11),Won(n.T,12),Won(n.T,13),Won(n.T,14),rrn(n.T),rrn(n.T),n.U=Nsn(n,12),Von(n.U,2),Von(n.U,3),Won(n.U,4),Won(n.U,5),Won(n.U,6),Won(n.U,7),rrn(n.U),n.V=Nsn(n,13),Won(n.V,10),n.W=Nsn(n,14),Von(n.W,18),Von(n.W,19),Von(n.W,20),Won(n.W,21),Won(n.W,22),Won(n.W,23),n.bb=Nsn(n,15),Von(n.bb,10),Von(n.bb,11),Von(n.bb,12),Von(n.bb,13),Von(n.bb,14),Von(n.bb,15),Von(n.bb,16),Won(n.bb,17),rrn(n.bb),rrn(n.bb),n.eb=Nsn(n,16),Von(n.eb,2),Von(n.eb,3),Von(n.eb,4),Von(n.eb,5),Von(n.eb,6),Von(n.eb,7),Won(n.eb,8),Won(n.eb,9),n.ab=Nsn(n,17),Von(n.ab,0),Von(n.ab,1),n.H=Nsn(n,18),Won(n.H,0),Won(n.H,1),Won(n.H,2),Won(n.H,3),Won(n.H,4),Won(n.H,5),rrn(n.H),n.db=Nsn(n,19),Won(n.db,2),n.c=$sn(n,20),n.d=$sn(n,21),n.e=$sn(n,22),n.f=$sn(n,23),n.i=$sn(n,24),n.g=$sn(n,25),n.j=$sn(n,26),n.k=$sn(n,27),n.n=$sn(n,28),n.r=$sn(n,29),n.s=$sn(n,30),n.t=$sn(n,31),n.u=$sn(n,32),n.fb=$sn(n,33),n.A=$sn(n,34),n.C=$sn(n,35),n.D=$sn(n,36),n.F=$sn(n,37),n.G=$sn(n,38),n.I=$sn(n,39),n.J=$sn(n,40),n.L=$sn(n,41),n.M=$sn(n,42),n.N=$sn(n,43),n.O=$sn(n,44),n.P=$sn(n,45),n.X=$sn(n,46),n.Y=$sn(n,47),n.Z=$sn(n,48),n.$=$sn(n,49),n._=$sn(n,50),n.cb=$sn(n,51),n.K=$sn(n,52))}function UYn(n,t,e){var i,r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E;for(a=new lS,v=uG(oIn(e,(jYn(),Byt)),88),d=0,Qon(a,(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));0!=a.b;)(xA(zDn(s=R0(h=uG(0==a.b?null:(MK(0!=a.b),Lrn(a,a.a.a)),27)),Syt))!==xA((yvn(),Fjt))||xA(zDn(s,Fyt))===xA((kvn(),lgt))||xA(zDn(s,Fyt))===xA((kvn(),hgt))||oM(gK(zDn(s,Cyt)))||xA(zDn(s,kyt))!==xA((Uvn(),tbt))||xA(zDn(s,yMt))===xA((THn(),Pjt))||xA(zDn(s,yMt))===xA((THn(),Cjt))||xA(zDn(s,MMt))===xA((MKn(),JTt))||xA(zDn(s,MMt))===xA((MKn(),ZTt)))&&!oM(gK(zDn(h,jyt)))&&Myn(h,(GYn(),imt),xwn(d++)),!oM(gK(zDn(h,FMt)))&&(l=0!=(!h.a&&(h.a=new fV(bFt,h,10,11)),h.a).i,w=oCn(h),b=xA(zDn(h,rMt))===xA((Own(),Ixt)),p=null,(E=!vnn(h,(XYn(),e$t))||L9(mK(zDn(h,e$t))))&&b&&(l||w)&&(kfn(p=PGn(h),Byt,v),vR(p,fTt)&&iM(new omn(uM(pK(oIn(p,fTt)))),p),0!=uG(zDn(h,DMt),181).gc()&&(f=p,kS(new fX(null,(!h.c&&(h.c=new fV(wFt,h,9,9)),new h3(h.c,16))),new Yd(f)),u_n(h,p))),k=e,(y=uG(cQ(n.a,R0(h)),10))&&(k=y.e),g=RJn(n,h,k),p&&(g.e=p,p.e=g,Qon(a,(!h.a&&(h.a=new fV(bFt,h,10,11)),h.a))));for(d=0,s8(a,t,a.c.b,a.c);0!=a.b;){for(u=new DD((!(c=uG(0==a.b?null:(MK(0!=a.b),Lrn(a,a.a.a)),27)).b&&(c.b=new fV(aFt,c,12,3)),c.b));u.e!=u.i.gc();)iHn(o=uG(Zkn(u),74)),(xA(zDn(t,Syt))!==xA((yvn(),Fjt))||xA(zDn(t,Fyt))===xA((kvn(),lgt))||xA(zDn(t,Fyt))===xA((kvn(),hgt))||oM(gK(zDn(t,Cyt)))||xA(zDn(t,kyt))!==xA((Uvn(),tbt))||xA(zDn(t,yMt))===xA((THn(),Pjt))||xA(zDn(t,yMt))===xA((THn(),Cjt))||xA(zDn(t,MMt))===xA((MKn(),JTt))||xA(zDn(t,MMt))===xA((MKn(),ZTt)))&&Myn(o,(GYn(),imt),xwn(d++)),T=lCn(uG(zrn((!o.b&&(o.b=new f_(cFt,o,4,7)),o.b),0),84)),j=lCn(uG(zrn((!o.c&&(o.c=new f_(cFt,o,5,8)),o.c),0),84)),oM(gK(zDn(o,FMt)))||oM(gK(zDn(T,FMt)))||oM(gK(zDn(j,FMt)))||(m=c,BNn(o)&&oM(gK(zDn(T,sMt)))&&oM(gK(zDn(o,hMt)))||Ern(j,T)?m=T:Ern(T,j)&&(m=j),k=e,(y=uG(cQ(n.a,m),10))&&(k=y.e),kfn(FYn(n,o,m,k),(GYn(),Ipt),SFn(n,o,t,e)));if(b=xA(zDn(c,rMt))===xA((Own(),Ixt)))for(r=new DD((!c.a&&(c.a=new fV(bFt,c,10,11)),c.a));r.e!=r.i.gc();)E=!vnn(i=uG(Zkn(r),27),(XYn(),e$t))||L9(mK(zDn(i,e$t))),M=xA(zDn(i,rMt))===xA(Ixt),E&&M&&s8(a,i,a.c.b,a.c)}}function GYn(){var n,t;GYn=E,rmt=new Cm(E4n),Ipt=new Cm("coordinateOrigin"),wmt=new Cm("processors"),Cpt=new uF("compoundNode",(qx(),!1)),qpt=new uF("insideConnections",!1),cmt=new Cm("originalBendpoints"),amt=new Cm("originalDummyNodePosition"),omt=new Cm("originalLabelEdge"),gmt=new Cm("representedLabels"),$pt=new Cm("endLabels"),Dpt=new Cm("endLabel.origin"),Qpt=new uF("labelSide",(Ajn(),Rxt)),emt=new uF("maxEdgeThickness",0),pmt=new uF("reversed",!1),dmt=new Cm(S4n),Zpt=new uF("longEdgeSource",null),nmt=new uF("longEdgeTarget",null),Ypt=new uF("longEdgeHasLabelDummies",!1),Jpt=new uF("longEdgeBeforeLabelDummy",!1),Npt=new uF("edgeConstraint",(Pfn(),kgt)),zpt=new Cm("inLayerLayoutUnit"),Xpt=new uF("inLayerConstraint",(Zen(),gpt)),Vpt=new uF("inLayerSuccessorConstraint",new Zm),Wpt=new uF("inLayerSuccessorConstraintBetweenNonDummies",!1),lmt=new Cm("portDummy"),Opt=new uF("crossingHint",xwn(0)),Hpt=new uF("graphProperties",new nB(t=uG(Mj(bpt),9),uG(MF(t,t.length),9),0)),Fpt=new uF("externalPortSide",(KQn(),FRt)),_pt=new uF("externalPortSize",new sj),Rpt=new Cm("externalPortReplacedDummies"),Kpt=new Cm("externalPortReplacedDummy"),xpt=new uF("externalPortConnections",new nB(n=uG(Mj(YRt),9),uG(MF(n,n.length),9),0)),bmt=new uF(i3n,0),jpt=new Cm("barycenterAssociates"),Pmt=new Cm("TopSideComments"),Ept=new Cm("BottomSideComments"),Ppt=new Cm("CommentConnectionPort"),Gpt=new uF("inputCollect",!1),hmt=new uF("outputCollect",!1),Lpt=new uF("cyclic",!1),Apt=new Cm("crossHierarchyMap"),Smt=new Cm("targetOffset"),new uF("splineLabelSize",new sj),kmt=new Cm("spacings"),fmt=new uF("partitionConstraint",!1),Spt=new Cm("breakingPoint.info"),jmt=new Cm("splines.survivingEdge"),Tmt=new Cm("splines.route.start"),ymt=new Cm("splines.edgeChain"),smt=new Cm("originalPortConstraints"),vmt=new Cm("selfLoopHolder"),Mmt=new Cm("splines.nsPortY"),imt=new Cm("modelOrder"),tmt=new Cm("longEdgeTargetNode"),Bpt=new uF(_6n,!1),mmt=new uF(_6n,!1),Upt=new Cm("layerConstraints.hiddenNodes"),umt=new Cm("layerConstraints.opposidePort"),Emt=new Cm("targetNode.modelOrder")}function qYn(n,t,i,r){var c,a,o,u,s,h,f,l,b,w,d;for(l=Fkn(n.b,0);l.b!=l.d.c;)if(!m_((f=uG(I6(l),39)).c,H9n))for(a=uG(l8(new fX(null,new h3(zNn(f,n),16)),ftn(new V,new z,new en,Uhn(cT(Rut,1),p1n,108,0,[(ybn(),Iut)]))),15),t==(xdn(),JDt)||t==YDt?a.jd(new oo):a.jd(new uo),d=a.gc(),c=0;c<d;c++)o=1==d?.5:(1+c)/(d+1),t==JDt?(h=uM(pK(oIn(f,(OQn(),$Pt)))),f.e.a+f.f.a+r<h?cL(uG(a.Xb(c),65).a,new MO(h+i,f.e.b+f.f.b*o)):uG(a.Xb(c),65).a.b>0&&(u=uG(pR(uG(a.Xb(c),65).a),8).a,b=f.e.a+f.f.a/2,s=uG(pR(uG(a.Xb(c),65).a),8).b,w=f.e.b+f.f.b/2,r>0&&e.Math.abs(s-w)/(e.Math.abs(u-b)/40)>50&&cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a+r/5.3,w>s?f.e.b+f.f.b*o-r/2:f.e.b+f.f.b*o+r/2))),cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a,f.e.b+f.f.b*o))):t==YDt?(h=uM(pK(oIn(f,(OQn(),DPt)))),f.e.a-r>h?cL(uG(a.Xb(c),65).a,new MO(h-i,f.e.b+f.f.b*o)):uG(a.Xb(c),65).a.b>0&&(u=uG(pR(uG(a.Xb(c),65).a),8).a,b=f.e.a+f.f.a/2,s=uG(pR(uG(a.Xb(c),65).a),8).b,w=f.e.b+f.f.b/2,r>0&&e.Math.abs(s-w)/(e.Math.abs(u-b)/40)>50&&cL(uG(a.Xb(c),65).a,new MO(f.e.a-r/5.3,w>s?f.e.b+f.f.b*o-r/2:f.e.b+f.f.b*o+r/2))),cL(uG(a.Xb(c),65).a,new MO(f.e.a,f.e.b+f.f.b*o))):t==nxt?(h=uM(pK(oIn(f,(OQn(),$Pt)))),f.e.b+f.f.b+r<h?cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,h+i)):uG(a.Xb(c),65).a.b>0&&(u=uG(pR(uG(a.Xb(c),65).a),8).a,b=f.e.a+f.f.a/2,s=uG(pR(uG(a.Xb(c),65).a),8).b,w=f.e.b+f.f.b/2,r>0&&e.Math.abs(u-b)/(e.Math.abs(s-w)/40)>50&&cL(uG(a.Xb(c),65).a,new MO(b>u?f.e.a+f.f.a*o-r/2:f.e.a+f.f.a*o+r/2,f.e.b+r/5.3+f.f.b))),cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,f.e.b+f.f.b))):(h=uM(pK(oIn(f,(OQn(),DPt)))),uln(uG(a.Xb(c),65),n)?cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,uG(pR(uG(a.Xb(c),65).a),8).b)):f.e.b-r>h?cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,h-i)):uG(a.Xb(c),65).a.b>0&&(u=uG(pR(uG(a.Xb(c),65).a),8).a,b=f.e.a+f.f.a/2,s=uG(pR(uG(a.Xb(c),65).a),8).b,w=f.e.b+f.f.b/2,r>0&&e.Math.abs(u-b)/(e.Math.abs(s-w)/40)>50&&cL(uG(a.Xb(c),65).a,new MO(b>u?f.e.a+f.f.a*o-r/2:f.e.a+f.f.a*o+r/2,f.e.b-r/5.3))),cL(uG(a.Xb(c),65).a,new MO(f.e.a+f.f.a*o,f.e.b)))}function XYn(){var n,t;XYn=E,e$t=new Cm(Vnt),yDt=new Cm(Wnt),nMn(),i$t=new mL(X8n,r$t=CNt),new Jm,c$t=new mL(R3n,null),a$t=new Cm(Qnt),ZSn(),b$t=WX(ZNt,Uhn(cT(txt,1),p1n,297,0,[WNt])),l$t=new mL(r9n,b$t),w$t=new mL(q8n,(qx(),!1)),xdn(),d$t=new mL(W8n,g$t=ZDt),_gn(),k$t=new mL(m8n,y$t=fxt),j$t=new mL(Xnt,!1),Own(),E$t=new mL(b8n,S$t=Oxt),Q$t=new CN(12),W$t=new mL(K3n,Q$t),O$t=new mL(f4n,!1),A$t=new mL(g9n,!1),V$t=new mL(w4n,!1),$Pn(),sDt=new mL(l4n,hDt=sRt),mDt=new Cm(b9n),vDt=new Cm(a4n),kDt=new Cm(s4n),TDt=new Cm(h4n),N$t=new Uk,L$t=new mL(c9n,N$t),f$t=new mL(u9n,!1),P$t=new mL(s9n,!1),new Cm(Jnt),D$t=new Nk,$$t=new mL(w9n,D$t),z$t=new mL(U8n,!1),new Jm,MDt=new mL(Ynt,1),h$t=new Cm(Znt),s$t=new Cm(ntt),HDt=new mL(k4n,!1),new mL(ttt,!0),xwn(0),new mL(ett,xwn(100)),new mL(itt,!1),xwn(0),new mL(rtt,xwn(4e3)),xwn(0),new mL(ctt,xwn(400)),new mL(att,!1),new mL(ott,!1),new mL(utt,!0),new mL(stt,!1),qpn(),o$t=new mL(znt,u$t=TKt),jDt=new mL(A8n,10),EDt=new mL(L8n,10),SDt=new mL(D3n,20),PDt=new mL(N8n,10),CDt=new mL(u4n,2),IDt=new mL($8n,10),ADt=new mL(D8n,0),LDt=new mL(K8n,5),NDt=new mL(x8n,1),$Dt=new mL(R8n,1),DDt=new mL(o4n,20),xDt=new mL(F8n,10),FDt=new mL(_8n,10),ODt=new Cm(B8n),KDt=new qL,RDt=new mL(d9n,KDt),Z$t=new Cm(l9n),J$t=new mL(f9n,Y$t=!1),R$t=new CN(5),x$t=new mL(Q8n,R$t),VDn(),t=uG(Mj(eRt),9),F$t=new nB(t,uG(MF(t,t.length),9),0),K$t=new mL(m4n,F$t),Vkn(),tDt=new mL(Z8n,eDt=Zxt),rDt=new Cm(n9n),cDt=new Cm(t9n),aDt=new Cm(e9n),iDt=new Cm(i9n),n=uG(Mj(sKt),9),B$t=new nB(n,uG(MF(n,n.length),9),0),_$t=new mL(p4n,B$t),X$t=ggn((oUn(),eKt)),q$t=new mL(g4n,X$t),G$t=new MO(0,0),U$t=new mL(x4n,G$t),H$t=new mL(d4n,!1),Zrn(),m$t=new mL(a9n,v$t=ixt),p$t=new mL(b4n,!1),new Cm(htt),xwn(1),new mL(ftt,null),oDt=new Cm(h9n),fDt=new Cm(o9n),KQn(),gDt=new mL(G8n,pDt=FRt),uDt=new Cm(H8n),eNn(),wDt=ggn(gRt),bDt=new mL(v4n,wDt),lDt=new mL(J8n,!1),dDt=new mL(Y8n,!0),new Jm,XDt=new mL(y4n,1),VDt=new mL(ltt,null),BDt=new mL(M4n,150),_Dt=new mL(T4n,1.414),UDt=new mL(j4n,null),GDt=new mL(btt,1),C$t=new mL(z8n,!1),I$t=new mL(V8n,!1),M$t=new mL(x3n,1),RCn(),new mL(wtt,T$t=mxt),nDt=!0,Iwn(),zDt=fKt,WDt=fKt,qDt=fKt}function zYn(){zYn=E,qbt=new CC("DIRECTION_PREPROCESSOR",0),Hbt=new CC("COMMENT_PREPROCESSOR",1),Xbt=new CC("EDGE_AND_LAYER_CONSTRAINT_EDGE_REVERSER",2),uwt=new CC("INTERACTIVE_EXTERNAL_PORT_POSITIONER",3),Pwt=new CC("PARTITION_PREPROCESSOR",4),lwt=new CC("LABEL_DUMMY_INSERTER",5),Nwt=new CC("SELF_LOOP_PREPROCESSOR",6),pwt=new CC("LAYER_CONSTRAINT_PREPROCESSOR",7),Ewt=new CC("PARTITION_MIDPROCESSOR",8),iwt=new CC("HIGH_DEGREE_NODE_LAYER_PROCESSOR",9),ywt=new CC("NODE_PROMOTION",10),gwt=new CC("LAYER_CONSTRAINT_POSTPROCESSOR",11),Swt=new CC("PARTITION_POSTPROCESSOR",12),Zbt=new CC("HIERARCHICAL_PORT_CONSTRAINT_PROCESSOR",13),Dwt=new CC("SEMI_INTERACTIVE_CROSSMIN_PROCESSOR",14),xbt=new CC("BREAKING_POINT_INSERTER",15),kwt=new CC("LONG_EDGE_SPLITTER",16),Iwt=new CC("PORT_SIDE_PROCESSOR",17),swt=new CC("INVERTED_PORT_PROCESSOR",18),Cwt=new CC("PORT_LIST_SORTER",19),Rwt=new CC("SORT_BY_INPUT_ORDER_OF_MODEL",20),Twt=new CC("NORTH_SOUTH_PORT_PREPROCESSOR",21),Rbt=new CC("BREAKING_POINT_PROCESSOR",22),jwt=new CC(p6n,23),Kwt=new CC(m6n,24),Awt=new CC("SELF_LOOP_PORT_RESTORER",25),xwt=new CC("SINGLE_EDGE_GRAPH_WRAPPER",26),hwt=new CC("IN_LAYER_CONSTRAINT_PROCESSOR",27),Qbt=new CC("END_NODE_PORT_LABEL_MANAGEMENT_PROCESSOR",28),fwt=new CC("LABEL_AND_NODE_SIZE_PROCESSOR",29),owt=new CC("INNERMOST_NODE_MARGIN_CALCULATOR",30),$wt=new CC("SELF_LOOP_ROUTER",31),_bt=new CC("COMMENT_NODE_MARGIN_CALCULATOR",32),Vbt=new CC("END_LABEL_PREPROCESSOR",33),wwt=new CC("LABEL_DUMMY_SWITCHER",34),Fbt=new CC("CENTER_LABEL_MANAGEMENT_PROCESSOR",35),dwt=new CC("LABEL_SIDE_SELECTOR",36),cwt=new CC("HYPEREDGE_DUMMY_MERGER",37),nwt=new CC("HIERARCHICAL_PORT_DUMMY_SIZE_PROCESSOR",38),mwt=new CC("LAYER_SIZE_AND_GRAPH_HEIGHT_CALCULATOR",39),ewt=new CC("HIERARCHICAL_PORT_POSITION_PROCESSOR",40),Ubt=new CC("CONSTRAINTS_POSTPROCESSOR",41),Bbt=new CC("COMMENT_POSTPROCESSOR",42),awt=new CC("HYPERNODE_PROCESSOR",43),twt=new CC("HIERARCHICAL_PORT_ORTHOGONAL_EDGE_ROUTER",44),vwt=new CC("LONG_EDGE_JOINER",45),Lwt=new CC("SELF_LOOP_POSTPROCESSOR",46),Kbt=new CC("BREAKING_POINT_REMOVER",47),Mwt=new CC("NORTH_SOUTH_PORT_POSTPROCESSOR",48),rwt=new CC("HORIZONTAL_COMPACTOR",49),bwt=new CC("LABEL_DUMMY_REMOVER",50),Jbt=new CC("FINAL_SPLINE_BENDPOINTS_CALCULATOR",51),Wbt=new CC("END_LABEL_SORTER",52),Owt=new CC("REVERSED_EDGE_RESTORER",53),zbt=new CC("END_LABEL_POSTPROCESSOR",54),Ybt=new CC("HIERARCHICAL_NODE_RESIZER",55),Gbt=new CC("DIRECTION_POSTPROCESSOR",56)}function VYn(){VYn=E,Vin(),mvt=new mL(B6n,vvt=dgt),xvt=new mL(H6n,(qx(),!1)),Y6(),Bvt=new mL(U6n,Hvt=kpt),akt=new mL(G6n,!1),okt=new mL(q6n,!0),Dmt=new mL(X6n,!1),nin(),Skt=new mL(z6n,Pkt=Gjt),xwn(1),Dkt=new mL(V6n,xwn(7)),xkt=new mL(W6n,!1),Rvt=new mL(Q6n,!1),kvn(),gvt=new mL(J6n,pvt=sgt),MKn(),rkt=new mL(Y6n,ckt=rjt),Gpn(),Vvt=new mL(Z6n,Wvt=Lmt),xwn(-1),zvt=new mL(n5n,null),xwn(-1),Qvt=new mL(t5n,xwn(-1)),xwn(-1),Jvt=new mL(e5n,xwn(4)),xwn(-1),Zvt=new mL(i5n,xwn(2)),THn(),ekt=new mL(r5n,ikt=$jt),xwn(0),tkt=new mL(c5n,xwn(0)),qvt=new mL(a5n,xwn(vZn)),jan(),wvt=new mL(o5n,dvt=Zdt),Jmt=new mL(u5n,!1),avt=new mL(s5n,.1),lvt=new mL(h5n,!1),uvt=new mL(f5n,null),svt=new mL(l5n,null),xwn(-1),hvt=new mL(b5n,null),xwn(-1),fvt=new mL(w5n,xwn(-1)),xwn(0),Ymt=new mL(d5n,xwn(40)),ihn(),ivt=new mL(g5n,rvt=lpt),Zmt=new mL(p5n,nvt=hpt),pyn(),jkt=new mL(m5n,Ekt=vjt),wkt=new Cm(v5n),Wtn(),ukt=new mL(k5n,skt=Lgt),ESn(),fkt=new mL(y5n,lkt=Fgt),new Jm,pkt=new mL(M5n,.3),vkt=new Cm(T5n),Yyn(),kkt=new mL(j5n,ykt=djt),isn(),Svt=new mL(E5n,Pvt=nEt),Sln(),Cvt=new mL(S5n,Ivt=aEt),kbn(),Ovt=new mL(P5n,Avt=fEt),Nvt=new mL(C5n,.2),jvt=new mL(I5n,2),Akt=new mL(O5n,null),Nkt=new mL(A5n,10),Lkt=new mL(L5n,10),$kt=new mL(N5n,20),xwn(0),Ckt=new mL($5n,xwn(0)),xwn(0),Ikt=new mL(D5n,xwn(0)),xwn(0),Okt=new mL(x5n,xwn(0)),xmt=new mL(R5n,!1),RIn(),Fmt=new mL(K5n,_mt=Vgt),H7(),Rmt=new mL(F5n,Kmt=Wdt),Fvt=new mL(_5n,!1),xwn(0),Kvt=new mL(B5n,xwn(16)),xwn(0),_vt=new mL(H5n,xwn(5)),zhn(),ryt=new mL(U5n,cyt=kEt),Rkt=new mL(G5n,10),_kt=new mL(q5n,1),ran(),Vkt=new mL(X5n,Wkt=cgt),Ukt=new Cm(z5n),Xkt=xwn(1),xwn(0),qkt=new mL(V5n,Xkt),ian(),syt=new mL(W5n,hyt=wEt),ayt=new Cm(Q5n),nyt=new mL(J5n,!0),Ykt=new mL(Y5n,2),eyt=new mL(Z5n,!0),tOn(),Mvt=new mL(n8n,Tvt=Cgt),vAn(),kvt=new mL(t8n,yvt=Hdt),yvn(),Wmt=new mL(e8n,Qmt=Fjt),Vmt=new mL(i8n,!1),zmt=new mL(r8n,!1),Uvn(),Bmt=new mL(c8n,Hmt=tbt),Cwn(),qmt=new mL(a8n,Xmt=ujt),Umt=new mL(o8n,0),Gmt=new mL(u8n,0),Gvt=fgt,Uvt=Ydt,Yvt=ijt,nkt=ijt,Xvt=YTt,Own(),ovt=Ixt,bvt=Zdt,cvt=Zdt,tvt=Zdt,evt=Ixt,dkt=Mjt,gkt=vjt,hkt=vjt,bkt=vjt,mkt=yjt,Tkt=Mjt,Mkt=Mjt,_gn(),Lvt=hxt,$vt=hxt,Dvt=fEt,Evt=sxt,Kkt=yEt,Fkt=vEt,Bkt=yEt,Hkt=vEt,Qkt=yEt,Jkt=vEt,Gkt=rgt,zkt=cgt,fyt=yEt,lyt=vEt,oyt=yEt,uyt=vEt,tyt=vEt,Zkt=vEt,iyt=vEt}function WYn(n,t,i){var r,c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I,O,A,L,N,$,D,x,R,K,F,_,B,H,U,G,q,X,z,V,W,Q,J,Y,Z,nn,tn,en,rn,cn,an,on,un;for(Y=0,N=0,x=(O=t).length;N<x;++N)for(G=new Ww((C=O[N]).j);G.a<G.c.c.length;){for(X=0,u=new Ww((U=uG(N3(G),12)).g);u.a<u.c.c.length;)o=uG(N3(u),18),C.c!=o.d.i.c&&++X;X>0&&(n.a[U.p]=Y++)}for(rn=0,$=0,R=(A=i).length;$<R;++$){for(K=0,G=new Ww((C=A[$]).j);G.a<G.c.c.length&&(U=uG(N3(G),12)).j==(KQn(),yRt);)for(u=new Ww(U.e);u.a<u.c.c.length;)if(o=uG(N3(u),18),C.c!=o.c.i.c){++K;break}for(_=0,z=new N4(C.j,C.j.c.length);z.b>0;){for(MK(z.b>0),X=0,u=new Ww((U=uG(z.a.Xb(z.c=--z.b),12)).e);u.a<u.c.c.length;)o=uG(N3(u),18),C.c!=o.c.i.c&&++X;X>0&&(U.j==(KQn(),yRt)?(n.a[U.p]=rn,++rn):(n.a[U.p]=rn+K+_,++_))}rn+=_}for(q=new Ym,d=new XL,L=0,D=(I=t).length;L<D;++L)for(tn=new Ww((C=I[L]).j);tn.a<tn.c.c.length;)for(u=new Ww((nn=uG(N3(tn),12)).g);u.a<u.c.c.length;)if(an=(o=uG(N3(u),18)).d,C.c!=an.i.c)if(Z=uG(DA(FX(q.f,nn)),477),cn=uG(DA(FX(q.f,an)),477),Z||cn)if(Z)if(cn)if(Z==cn)kD(Z.a,o);else{for(kD(Z.a,o),H=new Ww(cn.d);H.a<H.c.c.length;)B=uG(N3(H),12),VAn(q.f,B,Z);Ohn(Z.a,cn.a),Ohn(Z.d,cn.d),d.a.Bc(cn)}else kD(Z.a,o),kD(Z.d,an),VAn(q.f,an,Z);else kD(cn.a,o),kD(cn.d,nn),VAn(q.f,nn,cn);else w=new BF,d.a.zc(w,d),kD(w.a,o),kD(w.d,nn),VAn(q.f,nn,w),kD(w.d,an),VAn(q.f,an,w);for(g=uG(oTn(d,Inn(QEt,{3:1,4:1,5:1,2045:1},477,d.a.gc(),0,1)),2045),P=t[0].c,J=i[0].c,l=0,b=(f=g).length;l<b;++l)for((h=f[l]).e=Y,h.f=rn,G=new Ww(h.d);G.a<G.c.c.length;)U=uG(N3(G),12),V=n.a[U.p],U.i.c==P?(V<h.e&&(h.e=V),V>h.b&&(h.b=V)):U.i.c==J&&(V<h.f&&(h.f=V),V>h.c&&(h.c=V));for(Ntn(g,0,g.length,null),en=Inn(YHt,W1n,28,g.length,15,1),r=Inn(YHt,W1n,28,rn+1,15,1),m=0;m<g.length;m++)en[m]=g[m].f,r[en[m]]=1;for(a=0,v=0;v<r.length;v++)1==r[v]?r[v]=a:--a;for(W=0,k=0;k<en.length;k++)en[k]+=r[en[k]],W=e.Math.max(W,en[k]+1);for(s=1;s<W;)s*=2;for(un=2*s-1,s-=1,on=Inn(YHt,W1n,28,un,15,1),c=0,E=0;E<en.length;E++)for(++on[j=en[E]+s];j>0;)j%2>0&&(c+=on[j+1]),++on[j=(j-1)/2|0];for(S=Inn(ZEt,EZn,374,2*g.length,0,1),y=0;y<g.length;y++)S[2*y]=new bY(g[y],g[y].e,g[y].b,(Z6(),YEt)),S[2*y+1]=new bY(g[y],g[y].b,g[y].e,JEt);for(Ntn(S,0,S.length,null),F=0,M=0;M<S.length;M++)switch(S[M].d.g){case 0:++F;break;case 1:c+=--F}for(Q=Inn(ZEt,EZn,374,2*g.length,0,1),T=0;T<g.length;T++)Q[2*T]=new bY(g[T],g[T].f,g[T].c,(Z6(),YEt)),Q[2*T+1]=new bY(g[T],g[T].c,g[T].f,JEt);for(Ntn(Q,0,Q.length,null),F=0,p=0;p<Q.length;p++)switch(Q[p].d.g){case 0:++F;break;case 1:c+=--F}return c}function QYn(){QYn=E,OHt=new Qm(7),AHt=new IX(8,94),new IX(8,64),LHt=new IX(8,36),KHt=new IX(8,65),FHt=new IX(8,122),_Ht=new IX(8,90),UHt=new IX(8,98),xHt=new IX(8,66),BHt=new IX(8,60),GHt=new IX(8,62),IHt=new Qm(11),HFn(CHt=new K3(4),48,57),HFn(HHt=new K3(4),48,57),HFn(HHt,65,90),HFn(HHt,95,95),HFn(HHt,97,122),HFn(RHt=new K3(4),9,9),HFn(RHt,10,10),HFn(RHt,12,12),HFn(RHt,13,13),HFn(RHt,32,32),NHt=FGn(CHt),DHt=FGn(HHt),$Ht=FGn(RHt),jHt=new Ym,EHt=new Ym,SHt=Uhn(cT($ot,1),zZn,2,6,["Cn","Lu","Ll","Lt","Lm","Lo","Mn","Me","Mc","Nd","Nl","No","Zs","Zl","Zp","Cc","Cf",null,"Co","Cs","Pd","Ps","Pe","Pc","Po","Sm","Sc","Sk","So","Pi","Pf","L","M","N","Z","C","P","S"]),THt=Uhn(cT($ot,1),zZn,2,6,["Basic Latin","Latin-1 Supplement","Latin Extended-A","Latin Extended-B","IPA Extensions","Spacing Modifier Letters","Combining Diacritical Marks","Greek","Cyrillic","Armenian","Hebrew","Arabic","Syriac","Thaana","Devanagari","Bengali","Gurmukhi","Gujarati","Oriya","Tamil","Telugu","Kannada","Malayalam","Sinhala","Thai","Lao","Tibetan","Myanmar","Georgian","Hangul Jamo","Ethiopic","Cherokee","Unified Canadian Aboriginal Syllabics","Ogham","Runic","Khmer","Mongolian","Latin Extended Additional","Greek Extended","General Punctuation","Superscripts and Subscripts","Currency Symbols","Combining Marks for Symbols","Letterlike Symbols","Number Forms","Arrows","Mathematical Operators","Miscellaneous Technical","Control Pictures","Optical Character Recognition","Enclosed Alphanumerics","Box Drawing","Block Elements","Geometric Shapes","Miscellaneous Symbols","Dingbats","Braille Patterns","CJK Radicals Supplement","Kangxi Radicals","Ideographic Description Characters","CJK Symbols and Punctuation","Hiragana","Katakana","Bopomofo","Hangul Compatibility Jamo","Kanbun","Bopomofo Extended","Enclosed CJK Letters and Months","CJK Compatibility","CJK Unified Ideographs Extension A","CJK Unified Ideographs","Yi Syllables","Yi Radicals","Hangul Syllables",eat,"CJK Compatibility Ideographs","Alphabetic Presentation Forms","Arabic Presentation Forms-A","Combining Half Marks","CJK Compatibility Forms","Small Form Variants","Arabic Presentation Forms-B","Specials","Halfwidth and Fullwidth Forms","Old Italic","Gothic","Deseret","Byzantine Musical Symbols","Musical Symbols","Mathematical Alphanumeric Symbols","CJK Unified Ideographs Extension B","CJK Compatibility Ideographs Supplement","Tags"]),PHt=Uhn(cT(YHt,1),W1n,28,15,[66304,66351,66352,66383,66560,66639,118784,119039,119040,119295,119808,120831,131072,173782,194560,195103,917504,917631])}function JYn(){JYn=E,oht=new pun("OUT_T_L",0,(Ktn(),Ast),(Yen(),Rst),(Yrn(),jst),jst,Uhn(cT(kat,1),EZn,21,0,[WX((VDn(),qxt),Uhn(cT(eRt,1),p1n,95,0,[Vxt,Bxt]))])),aht=new pun("OUT_T_C",1,Ost,Rst,jst,Est,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,_xt])),WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,_xt,Hxt]))])),uht=new pun("OUT_T_R",2,Lst,Rst,jst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Uxt]))])),Yst=new pun("OUT_B_L",3,Ast,Fst,Sst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Bxt]))])),Jst=new pun("OUT_B_C",4,Ost,Fst,Sst,Est,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,_xt])),WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,_xt,Hxt]))])),Zst=new pun("OUT_B_R",5,Lst,Fst,Sst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Uxt]))])),eht=new pun("OUT_L_T",6,Lst,Fst,jst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Bxt,Vxt,Hxt]))])),tht=new pun("OUT_L_C",7,Lst,Kst,Est,jst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Bxt,zxt])),WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Bxt,zxt,Hxt]))])),nht=new pun("OUT_L_B",8,Lst,Rst,Sst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Bxt,Xxt,Hxt]))])),cht=new pun("OUT_R_T",9,Ast,Fst,jst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Uxt,Vxt,Hxt]))])),rht=new pun("OUT_R_C",10,Ast,Kst,Est,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Uxt,zxt])),WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Uxt,zxt,Hxt]))])),iht=new pun("OUT_R_B",11,Ast,Rst,Sst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(qxt,Uhn(cT(eRt,1),p1n,95,0,[Uxt,Xxt,Hxt]))])),Wst=new pun("IN_T_L",12,Ast,Fst,jst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Bxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Bxt,Hxt]))])),Vst=new pun("IN_T_C",13,Ost,Fst,jst,Est,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,_xt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,_xt,Hxt]))])),Qst=new pun("IN_T_R",14,Lst,Fst,jst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Uxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Vxt,Uxt,Hxt]))])),Xst=new pun("IN_C_L",15,Ast,Kst,Est,jst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,Bxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,Bxt,Hxt]))])),qst=new pun("IN_C_C",16,Ost,Kst,Est,Est,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,_xt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,_xt,Hxt]))])),zst=new pun("IN_C_R",17,Lst,Kst,Est,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,Uxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[zxt,Uxt,Hxt]))])),Ust=new pun("IN_B_L",18,Ast,Rst,Sst,jst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Bxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Bxt,Hxt]))])),Hst=new pun("IN_B_C",19,Ost,Rst,Sst,Est,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,_xt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,_xt,Hxt]))])),Gst=new pun("IN_B_R",20,Lst,Rst,Sst,Sst,Uhn(cT(kat,1),EZn,21,0,[WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Uxt])),WX(Gxt,Uhn(cT(eRt,1),p1n,95,0,[Xxt,Uxt,Hxt]))])),sht=new pun(Y2n,21,null,null,null,null,Uhn(cT(kat,1),EZn,21,0,[]))}function YYn(){YYn=E,j_t=(tQ(),M_t).b,uG(zrn(gZ(M_t.b),0),35),uG(zrn(gZ(M_t.b),1),19),T_t=M_t.a,uG(zrn(gZ(M_t.a),0),35),uG(zrn(gZ(M_t.a),1),19),uG(zrn(gZ(M_t.a),2),19),uG(zrn(gZ(M_t.a),3),19),uG(zrn(gZ(M_t.a),4),19),E_t=M_t.o,uG(zrn(gZ(M_t.o),0),35),uG(zrn(gZ(M_t.o),1),35),P_t=uG(zrn(gZ(M_t.o),2),19),uG(zrn(gZ(M_t.o),3),19),uG(zrn(gZ(M_t.o),4),19),uG(zrn(gZ(M_t.o),5),19),uG(zrn(gZ(M_t.o),6),19),uG(zrn(gZ(M_t.o),7),19),uG(zrn(gZ(M_t.o),8),19),uG(zrn(gZ(M_t.o),9),19),uG(zrn(gZ(M_t.o),10),19),uG(zrn(gZ(M_t.o),11),19),uG(zrn(gZ(M_t.o),12),19),uG(zrn(gZ(M_t.o),13),19),uG(zrn(gZ(M_t.o),14),19),uG(zrn(gZ(M_t.o),15),19),uG(zrn(dZ(M_t.o),0),62),uG(zrn(dZ(M_t.o),1),62),uG(zrn(dZ(M_t.o),2),62),uG(zrn(dZ(M_t.o),3),62),uG(zrn(dZ(M_t.o),4),62),uG(zrn(dZ(M_t.o),5),62),uG(zrn(dZ(M_t.o),6),62),uG(zrn(dZ(M_t.o),7),62),uG(zrn(dZ(M_t.o),8),62),uG(zrn(dZ(M_t.o),9),62),S_t=M_t.p,uG(zrn(gZ(M_t.p),0),35),uG(zrn(gZ(M_t.p),1),35),uG(zrn(gZ(M_t.p),2),35),uG(zrn(gZ(M_t.p),3),35),uG(zrn(gZ(M_t.p),4),19),uG(zrn(gZ(M_t.p),5),19),uG(zrn(dZ(M_t.p),0),62),uG(zrn(dZ(M_t.p),1),62),C_t=M_t.q,uG(zrn(gZ(M_t.q),0),35),I_t=M_t.v,uG(zrn(gZ(M_t.v),0),19),uG(zrn(dZ(M_t.v),0),62),uG(zrn(dZ(M_t.v),1),62),uG(zrn(dZ(M_t.v),2),62),O_t=M_t.w,uG(zrn(gZ(M_t.w),0),35),uG(zrn(gZ(M_t.w),1),35),uG(zrn(gZ(M_t.w),2),35),uG(zrn(gZ(M_t.w),3),19),A_t=M_t.B,uG(zrn(gZ(M_t.B),0),19),uG(zrn(dZ(M_t.B),0),62),uG(zrn(dZ(M_t.B),1),62),uG(zrn(dZ(M_t.B),2),62),$_t=M_t.Q,uG(zrn(gZ(M_t.Q),0),19),uG(zrn(dZ(M_t.Q),0),62),D_t=M_t.R,uG(zrn(gZ(M_t.R),0),35),x_t=M_t.S,uG(zrn(dZ(M_t.S),0),62),uG(zrn(dZ(M_t.S),1),62),uG(zrn(dZ(M_t.S),2),62),uG(zrn(dZ(M_t.S),3),62),uG(zrn(dZ(M_t.S),4),62),uG(zrn(dZ(M_t.S),5),62),uG(zrn(dZ(M_t.S),6),62),uG(zrn(dZ(M_t.S),7),62),uG(zrn(dZ(M_t.S),8),62),uG(zrn(dZ(M_t.S),9),62),uG(zrn(dZ(M_t.S),10),62),uG(zrn(dZ(M_t.S),11),62),uG(zrn(dZ(M_t.S),12),62),uG(zrn(dZ(M_t.S),13),62),uG(zrn(dZ(M_t.S),14),62),R_t=M_t.T,uG(zrn(gZ(M_t.T),0),19),uG(zrn(gZ(M_t.T),2),19),K_t=uG(zrn(gZ(M_t.T),3),19),uG(zrn(gZ(M_t.T),4),19),uG(zrn(dZ(M_t.T),0),62),uG(zrn(dZ(M_t.T),1),62),uG(zrn(gZ(M_t.T),1),19),F_t=M_t.U,uG(zrn(gZ(M_t.U),0),35),uG(zrn(gZ(M_t.U),1),35),uG(zrn(gZ(M_t.U),2),19),uG(zrn(gZ(M_t.U),3),19),uG(zrn(gZ(M_t.U),4),19),uG(zrn(gZ(M_t.U),5),19),uG(zrn(dZ(M_t.U),0),62),__t=M_t.V,uG(zrn(gZ(M_t.V),0),19),B_t=M_t.W,uG(zrn(gZ(M_t.W),0),35),uG(zrn(gZ(M_t.W),1),35),uG(zrn(gZ(M_t.W),2),35),uG(zrn(gZ(M_t.W),3),19),uG(zrn(gZ(M_t.W),4),19),uG(zrn(gZ(M_t.W),5),19),U_t=M_t.bb,uG(zrn(gZ(M_t.bb),0),35),uG(zrn(gZ(M_t.bb),1),35),uG(zrn(gZ(M_t.bb),2),35),uG(zrn(gZ(M_t.bb),3),35),uG(zrn(gZ(M_t.bb),4),35),uG(zrn(gZ(M_t.bb),5),35),uG(zrn(gZ(M_t.bb),6),35),uG(zrn(gZ(M_t.bb),7),19),uG(zrn(dZ(M_t.bb),0),62),uG(zrn(dZ(M_t.bb),1),62),G_t=M_t.eb,uG(zrn(gZ(M_t.eb),0),35),uG(zrn(gZ(M_t.eb),1),35),uG(zrn(gZ(M_t.eb),2),35),uG(zrn(gZ(M_t.eb),3),35),uG(zrn(gZ(M_t.eb),4),35),uG(zrn(gZ(M_t.eb),5),35),uG(zrn(gZ(M_t.eb),6),19),uG(zrn(gZ(M_t.eb),7),19),H_t=M_t.ab,uG(zrn(gZ(M_t.ab),0),35),uG(zrn(gZ(M_t.ab),1),35),L_t=M_t.H,uG(zrn(gZ(M_t.H),0),19),uG(zrn(gZ(M_t.H),1),19),uG(zrn(gZ(M_t.H),2),19),uG(zrn(gZ(M_t.H),3),19),uG(zrn(gZ(M_t.H),4),19),uG(zrn(gZ(M_t.H),5),19),uG(zrn(dZ(M_t.H),0),62),q_t=M_t.db,uG(zrn(gZ(M_t.db),0),19),N_t=M_t.M}function ZYn(n){var t;n.O||(n.O=!0,qon(n,"type"),Xon(n,"ecore.xml.type"),zon(n,lct),t=uG(jxn((MP(),l_t),lct),2044),ttn(n1(n.fb),n.b),A4(n.b,DBt,"AnyType",!1,!1,!0),mun(uG(zrn(gZ(n.b),0),35),n.wb.D,jrt,null,0,-1,DBt,!1,!1,!0,!1,!1,!1),mun(uG(zrn(gZ(n.b),1),35),n.wb.D,"any",null,0,-1,DBt,!0,!0,!0,!1,!1,!0),mun(uG(zrn(gZ(n.b),2),35),n.wb.D,"anyAttribute",null,0,-1,DBt,!1,!1,!0,!1,!1,!1),A4(n.bb,lHt,pct,!1,!1,!0),mun(uG(zrn(gZ(n.bb),0),35),n.gb,"data",null,0,1,lHt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.bb),1),35),n.gb,Ret,null,1,1,lHt,!1,!1,!0,!1,!0,!1),A4(n.fb,bHt,mct,!1,!1,!0),mun(uG(zrn(gZ(n.fb),0),35),t.gb,"rawValue",null,0,1,bHt,!0,!0,!0,!1,!0,!0),mun(uG(zrn(gZ(n.fb),1),35),t.a,uet,null,0,1,bHt,!0,!0,!0,!1,!0,!0),ujn(uG(zrn(gZ(n.fb),2),19),n.wb.q,null,"instanceType",1,1,bHt,!1,!1,!0,!1,!1,!1,!1),A4(n.qb,wHt,vct,!1,!1,!0),mun(uG(zrn(gZ(n.qb),0),35),n.wb.D,jrt,null,0,-1,null,!1,!1,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.qb),1),19),n.wb.ab,null,"xMLNSPrefixMap",0,-1,null,!0,!1,!0,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.qb),2),19),n.wb.ab,null,"xSISchemaLocation",0,-1,null,!0,!1,!0,!0,!1,!1,!1),mun(uG(zrn(gZ(n.qb),3),35),n.gb,"cDATA",null,0,-2,null,!0,!0,!0,!1,!1,!0),mun(uG(zrn(gZ(n.qb),4),35),n.gb,"comment",null,0,-2,null,!0,!0,!0,!1,!1,!0),ujn(uG(zrn(gZ(n.qb),5),19),n.bb,null,qct,0,-2,null,!0,!0,!0,!0,!1,!1,!0),mun(uG(zrn(gZ(n.qb),6),35),n.gb,get,null,0,-2,null,!0,!0,!0,!1,!1,!0),UJ(n.a,dat,"AnySimpleType",!0),UJ(n.c,$ot,"AnyURI",!0),UJ(n.d,cT(tUt,1),"Base64Binary",!0),UJ(n.e,ZHt,"Boolean",!0),UJ(n.f,cot,"BooleanObject",!0),UJ(n.g,tUt,"Byte",!0),UJ(n.i,uot,"ByteObject",!0),UJ(n.j,$ot,"Date",!0),UJ(n.k,$ot,"DateTime",!0),UJ(n.n,Bot,"Decimal",!0),UJ(n.o,eUt,"Double",!0),UJ(n.p,fot,"DoubleObject",!0),UJ(n.q,$ot,"Duration",!0),UJ(n.s,yat,"ENTITIES",!0),UJ(n.r,yat,"ENTITIESBase",!0),UJ(n.t,$ot,Ect,!0),UJ(n.u,iUt,"Float",!0),UJ(n.v,lot,"FloatObject",!0),UJ(n.w,$ot,"GDay",!0),UJ(n.B,$ot,"GMonth",!0),UJ(n.A,$ot,"GMonthDay",!0),UJ(n.C,$ot,"GYear",!0),UJ(n.D,$ot,"GYearMonth",!0),UJ(n.F,cT(tUt,1),"HexBinary",!0),UJ(n.G,$ot,"ID",!0),UJ(n.H,$ot,"IDREF",!0),UJ(n.J,yat,"IDREFS",!0),UJ(n.I,yat,"IDREFSBase",!0),UJ(n.K,YHt,"Int",!0),UJ(n.M,Xot,"Integer",!0),UJ(n.L,dot,"IntObject",!0),UJ(n.P,$ot,"Language",!0),UJ(n.Q,nUt,"Long",!0),UJ(n.R,yot,"LongObject",!0),UJ(n.S,$ot,"Name",!0),UJ(n.T,$ot,Sct,!0),UJ(n.U,Xot,"NegativeInteger",!0),UJ(n.V,$ot,xct,!0),UJ(n.X,yat,"NMTOKENS",!0),UJ(n.W,yat,"NMTOKENSBase",!0),UJ(n.Y,Xot,"NonNegativeInteger",!0),UJ(n.Z,Xot,"NonPositiveInteger",!0),UJ(n.$,$ot,"NormalizedString",!0),UJ(n._,$ot,"NOTATION",!0),UJ(n.ab,$ot,"PositiveInteger",!0),UJ(n.cb,$ot,"QName",!0),UJ(n.db,rUt,"Short",!0),UJ(n.eb,Tot,"ShortObject",!0),UJ(n.gb,$ot,C1n,!0),UJ(n.hb,$ot,"Time",!0),UJ(n.ib,$ot,"Token",!0),UJ(n.jb,rUt,"UnsignedByte",!0),UJ(n.kb,Tot,"UnsignedByteObject",!0),UJ(n.lb,nUt,"UnsignedInt",!0),UJ(n.mb,yot,"UnsignedIntObject",!0),UJ(n.nb,Xot,"UnsignedLong",!0),UJ(n.ob,YHt,"UnsignedShort",!0),UJ(n.pb,dot,"UnsignedShortObject",!0),nwn(n,lct),iZn(n))}function nZn(n,t,i,r){var c,a,o,u,s,h,f,l,b,w,d,g,p,m,v,k,y,M,T,j,E,S,P,C,I,O,A,L,N,$,D,x,R,K,F,_,B,H,U,G,q,X;if(r.$g())return hZ(),hZ(),zot;if(oM(gK(zDn(t,(XYn(),z$t)))))return hZ(),hZ(),zot;if(M=0!=(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a).i,T=!(j=bLn(t)).dc(),M||T){if(!(c=uG(zDn(t,yDt),143)))throw hv(new jM("Resolved algorithm is not set; apply a LayoutAlgorithmResolver before computing layout."));if(U=bA(c,(rDn(),yFt)),gkn(t),!M&&T&&!U)return hZ(),hZ(),zot;if(m=new Zm,xA(zDn(t,E$t))===xA((Own(),Ixt))&&(bA(c,mFt)||bA(c,pFt))){if(oM(gK(zDn(t,HDt))))throw hv(new jM("Topdown layout cannot be used together with hierarchy handling."));for(N=dBn(n,t),Qon($=new lS,(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));0!=$.b;)gkn(A=uG(0==$.b?null:(MK(0!=$.b),Lrn($,$.a.a)),27)),xA(zDn(A,E$t))===xA(Axt)||vnn(A,e$t)&&!k9(c,zDn(A,yDt))?(Ohn(m,nZn(n,A,i,r)),Myn(A,E$t,Axt),UHn(A)):Qon($,(!A.a&&(A.a=new fV(bFt,A,10,11)),A.a))}else{if(N=(!t.a&&(t.a=new fV(bFt,t,10,11)),t.a).i,oM(gK(zDn(t,HDt)))){if((G=r.eh(1)).Ug(Lnt,1),null==zDn(t,UDt))throw hv(new jM(t.k+" has not been assigned a top-down node type."));if(uG(zDn(t,UDt),280)==(Iwn(),fKt)||uG(zDn(t,UDt),280)==bKt)for(p=new DD((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));p.e!=p.i.gc();)if(g=uG(Zkn(p),27),O=uG(zDn(g,yDt),143),(!g.a&&(g.a=new fV(bFt,g,10,11)),g.a).i>0&&(A1(O.f),0)){if(uG(zDn(g,UDt),280)==fKt)throw hv(new jM("Topdown Layout Providers should only be used on parallel nodes."));XA(A1(O.f)),null.Um(),vN(g,e.Math.max(g.g,null.Vm),e.Math.max(g.f,null.Vm))}else null!=zDn(g,VDt)&&(H=uG(zDn(g,VDt),347).Tg(g),vN(g,e.Math.max(g.g,H.a),e.Math.max(g.f,H.b)));if(D=uG(zDn(t,W$t),107),b=t.g-(D.b+D.c),l=t.f-(D.d+D.a),G.bh("Available Child Area: ("+b+"|"+l+")"),Myn(t,c$t,b/l),Mkn(t,c,r.eh(N)),uG(zDn(t,UDt),280)==bKt&&(VJn(t),vN(t,D.b+uM(pK(zDn(t,h$t)))+D.c,D.d+uM(pK(zDn(t,s$t)))+D.a)),G.bh("Executed layout algorithm: "+mK(zDn(t,e$t))+" on node "+t.k),uG(zDn(t,UDt),280)==fKt){if(b<0||l<0)throw hv(new jM("The size defined by the parent parallel node is too small for the space provided by the paddings of the child hierarchical node. "+t.k));for(vnn(t,h$t)||vnn(t,s$t)||VJn(t),d=uM(pK(zDn(t,h$t))),w=uM(pK(zDn(t,s$t))),G.bh("Desired Child Area: ("+d+"|"+w+")"),R=b/d,K=l/w,x=e.Math.min(R,e.Math.min(K,uM(pK(zDn(t,GDt))))),Myn(t,XDt,x),G.bh(t.k+" -- Local Scale Factor (X|Y): ("+R+"|"+K+")"),v=uG(zDn(t,l$t),21),a=0,o=0,x<R&&(v.Hc((ZSn(),VNt))?a=(b/2-d*x/2)/x:v.Hc(QNt)&&(a=(b-d*x)/x)),x<K&&(v.Hc((ZSn(),YNt))?o=(l/2-w*x/2)/x:v.Hc(JNt)&&(o=(l-w*x)/x)),q=a+(D.b/x-D.b),X=o+(D.d/x-D.d),G.bh("Shift: ("+q+"|"+X+")"),L=new DD((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));L.e!=L.i.gc();)ycn(A=uG(Zkn(L),27),A.i+q),Mcn(A,A.j+X);for(y=new DD((!t.b&&(t.b=new fV(aFt,t,12,3)),t.b));y.e!=y.i.gc();){for(_=new DD((!(k=uG(Zkn(y),74)).a&&(k.a=new fV(oFt,k,6,6)),k.a));_.e!=_.i.gc();)for(MN(F=uG(Zkn(_),166),F.j+q,F.k+X),yN(F,F.b+q,F.c+X),s=new DD((!F.a&&(F.a=new MD(eFt,F,5)),F.a));s.e!=s.i.gc();)mN(u=uG(Zkn(s),377),u.a+q,u.b+X);for(I=new DD((!k.n&&(k.n=new fV(lFt,k,1,7)),k.n));I.e!=I.i.gc();)kN(C=uG(Zkn(I),135),C.i+q,C.j+X);for(S=Fkn(P=uG(zDn(k,L$t),75),0);S.b!=S.d.c;)(E=uG(I6(S),8)).a+=q,E.b+=X;Myn(k,L$t,P)}}G.Vg()}for(f=new DD((!t.a&&(t.a=new fV(bFt,t,10,11)),t.a));f.e!=f.i.gc();)Ohn(m,nZn(n,h=uG(Zkn(f),27),i,r)),UHn(h)}if(r.$g())return hZ(),hZ(),zot;for(B=new Ww(m);B.a<B.c.c.length;)Myn(uG(N3(B),74),z$t,(qx(),!0));return oM(gK(zDn(t,HDt)))||Mkn(t,c,r.eh(N)),yUn(m),T&&U?j:(hZ(),hZ(),zot)}return hZ(),hZ(),zot}function tZn(n,t){var e;return yHt||(yHt=new Ym,MHt=new Ym,QYn(),QYn(),zmn(e=new K3(4),"\t\n\r\r "),r2(yHt,Jct,e),r2(MHt,Jct,FGn(e)),zmn(e=new K3(4),nat),r2(yHt,Wct,e),r2(MHt,Wct,FGn(e)),zmn(e=new K3(4),nat),r2(yHt,Wct,e),r2(MHt,Wct,FGn(e)),zmn(e=new K3(4),tat),TXn(e,uG(U1(yHt,Wct),122)),r2(yHt,Qct,e),r2(MHt,Qct,FGn(e)),zmn(e=new 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K3(4),tat),HFn(e,95,95),HFn(e,58,58),r2(yHt,Zct,e),r2(MHt,Zct,FGn(e))),uG(U1(t?yHt:MHt,n),138)}function eZn(n){hP(n,new hCn(_T(xT(FT(DT(KT(RT(new bu,S0n),"ELK Layered"),"Layer-based algorithm provided by the Eclipse Layout Kernel. Arranges as many edges as possible into one direction by placing nodes into subsequent layers. This implementation supports different routing styles (straight, orthogonal, splines); if orthogonal routing is selected, arbitrary port constraints are respected, thus enabling the layout of block diagrams such as actor-oriented models or circuit schematics. Furthermore, full layout of compound graphs with cross-hierarchy edges is supported when the respective option is activated on the top level."),new 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rZn(n){return m_("_UI_EMFDiagnostic_marker",n)?"EMF Problem":m_("_UI_CircularContainment_diagnostic",n)?"An object may not circularly contain itself":m_(nit,n)?"Wrong character.":m_(tit,n)?"Invalid reference number.":m_(eit,n)?"A character is required after \\.":m_(iit,n)?"'?' is not expected. '(?:' or '(?=' or '(?!' or '(?<' or '(?#' or '(?>'?":m_(rit,n)?"'(?<' or '(?<!' is expected.":m_(cit,n)?"A comment is not terminated.":m_(ait,n)?"')' is expected.":m_(oit,n)?"Unexpected end of the pattern in a modifier group.":m_(uit,n)?"':' is expected.":m_(sit,n)?"Unexpected end of the pattern in a conditional group.":m_(hit,n)?"A back reference or an anchor or a lookahead or a look-behind is expected in a conditional pattern.":m_(fit,n)?"There are more than three choices in a conditional group.":m_(lit,n)?"A character in U+0040-U+005f must follow \\c.":m_(bit,n)?"A '{' is required before a character category.":m_(wit,n)?"A property name is not closed by '}'.":m_(dit,n)?"Unexpected meta character.":m_(git,n)?"Unknown property.":m_(pit,n)?"A POSIX character class must be closed by ':]'.":m_(mit,n)?"Unexpected end of the pattern in a character class.":m_(vit,n)?"Unknown name for a POSIX character class.":m_("parser.cc.4",n)?"'-' is invalid here.":m_(kit,n)?"']' is expected.":m_(yit,n)?"'[' is invalid in a character class. Write '\\['.":m_(Mit,n)?"']' is invalid in a character class. Write '\\]'.":m_(Tit,n)?"'-' is an invalid character range. Write '\\-'.":m_(jit,n)?"'[' is expected.":m_(Eit,n)?"')' or '-[' or '+[' or '&[' is expected.":m_(Sit,n)?"The range end code point is less than the start code point.":m_(Pit,n)?"Invalid Unicode hex notation.":m_(Cit,n)?"Overflow in a hex notation.":m_(Iit,n)?"'\\x{' must be closed by '}'.":m_(Oit,n)?"Invalid Unicode code point.":m_(Ait,n)?"An anchor must not be here.":m_(Lit,n)?"This expression is not supported in the current option setting.":m_(Nit,n)?"Invalid quantifier. A digit is expected.":m_($it,n)?"Invalid quantifier. Invalid quantity or a '}' is missing.":m_(Dit,n)?"Invalid quantifier. A digit or '}' is expected.":m_(xit,n)?"Invalid quantifier. A min quantity must be <= a max quantity.":m_(Rit,n)?"Invalid quantifier. A quantity value overflow.":m_("_UI_PackageRegistry_extensionpoint",n)?"Ecore Package Registry for Generated Packages":m_("_UI_DynamicPackageRegistry_extensionpoint",n)?"Ecore Package Registry for Dynamic Packages":m_("_UI_FactoryRegistry_extensionpoint",n)?"Ecore Factory Override Registry":m_("_UI_URIExtensionParserRegistry_extensionpoint",n)?"URI Extension Parser Registry":m_("_UI_URIProtocolParserRegistry_extensionpoint",n)?"URI Protocol Parser Registry":m_("_UI_URIContentParserRegistry_extensionpoint",n)?"URI Content Parser Registry":m_("_UI_ContentHandlerRegistry_extensionpoint",n)?"Content Handler Registry":m_("_UI_URIMappingRegistry_extensionpoint",n)?"URI Converter Mapping Registry":m_("_UI_PackageRegistryImplementation_extensionpoint",n)?"Ecore Package Registry Implementation":m_("_UI_ValidationDelegateRegistry_extensionpoint",n)?"Validation Delegate Registry":m_("_UI_SettingDelegateRegistry_extensionpoint",n)?"Feature Setting Delegate Factory 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containment reference":m_("_UI_EReferenceConsistentUnique_diagnostic",n)?"A containment or bidirectional reference must be unique if its upper bound is different from 1":m_("_UI_ETypedElementNoType_diagnostic",n)?"The typed element must have a type":m_("_UI_EAttributeNoDataType_diagnostic",n)?"The generic attribute type must not refer to a class":m_("_UI_EReferenceNoClass_diagnostic",n)?"The generic reference type must not refer to a data type":m_("_UI_EGenericTypeNoTypeParameterAndClassifier_diagnostic",n)?"A generic type can't refer to both a type parameter and a classifier":m_("_UI_EGenericTypeNoClass_diagnostic",n)?"A generic super type must refer to a class":m_("_UI_EGenericTypeNoTypeParameterOrClassifier_diagnostic",n)?"A generic type in this context must refer to a classifier or a type parameter":m_("_UI_EGenericTypeBoundsOnlyForTypeArgument_diagnostic",n)?"A generic type may have bounds only when used as a type argument":m_("_UI_EGenericTypeNoUpperAndLowerBound_diagnostic",n)?"A generic type must not have both a lower and an upper bound":m_("_UI_EGenericTypeNoTypeParameterOrClassifierAndBound_diagnostic",n)?"A generic type with bounds must not also refer to a type parameter or classifier":m_("_UI_EGenericTypeNoArguments_diagnostic",n)?"A generic type may have arguments only if it refers to a classifier":m_("_UI_EGenericTypeOutOfScopeTypeParameter_diagnostic",n)?"A generic type may only refer to a type parameter that is in scope":n}function cZn(n){var t,e,i,r,c,a,o;n.r||(n.r=!0,qon(n,"graph"),Xon(n,"graph"),zon(n,aet),mhn(n.o,"T"),ttn(n1(n.a),n.p),ttn(n1(n.f),n.a),ttn(n1(n.n),n.f),ttn(n1(n.g),n.n),ttn(n1(n.c),n.n),ttn(n1(n.i),n.c),ttn(n1(n.j),n.c),ttn(n1(n.d),n.f),ttn(n1(n.e),n.a),A4(n.p,Pht,m3n,!0,!0,!1),o=_hn(a=Kln(n.p,n.p,"setProperty")),t=NY(n.o),e=new ev,ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),rPn(e,i=$Y(o)),OSn(a,t,oet),OSn(a,t=$Y(o),uet),o=_hn(a=Kln(n.p,null,"getProperty")),t=NY(n.o),e=$Y(o),ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),OSn(a,t,oet),(c=CCn(a,t=$Y(o),null))&&c.oj(),a=Kln(n.p,n.wb.e,"hasProperty"),t=NY(n.o),e=new ev,ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),OSn(a,t,oet),djn(a=Kln(n.p,n.p,"copyProperties"),n.p,set),a=Kln(n.p,null,"getAllProperties"),t=NY(n.wb.P),e=NY(n.o),ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),i=new ev,ttn((!e.d&&(e.d=new MD(g_t,e,1)),e.d),i),e=NY(n.wb.M),ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),(r=CCn(a,t,null))&&r.oj(),A4(n.a,tFt,Att,!0,!1,!0),ujn(uG(zrn(gZ(n.a),0),19),n.k,null,het,0,-1,tFt,!1,!1,!0,!0,!1,!1,!1),A4(n.f,iFt,Ntt,!0,!1,!0),ujn(uG(zrn(gZ(n.f),0),19),n.g,uG(zrn(gZ(n.g),0),19),"labels",0,-1,iFt,!1,!1,!0,!0,!1,!1,!1),mun(uG(zrn(gZ(n.f),1),35),n.wb._,fet,null,0,1,iFt,!1,!1,!0,!1,!0,!1),A4(n.n,rFt,"ElkShape",!0,!1,!0),mun(uG(zrn(gZ(n.n),0),35),n.wb.t,bet,N0n,1,1,rFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.n),1),35),n.wb.t,wet,N0n,1,1,rFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.n),2),35),n.wb.t,"x",N0n,1,1,rFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.n),3),35),n.wb.t,"y",N0n,1,1,rFt,!1,!1,!0,!1,!0,!1),djn(a=Kln(n.n,null,"setDimensions"),n.wb.t,wet),djn(a,n.wb.t,bet),djn(a=Kln(n.n,null,"setLocation"),n.wb.t,"x"),djn(a,n.wb.t,"y"),A4(n.g,lFt,Ftt,!1,!1,!0),ujn(uG(zrn(gZ(n.g),0),19),n.f,uG(zrn(gZ(n.f),0),19),det,0,1,lFt,!1,!1,!0,!1,!1,!1,!1),mun(uG(zrn(gZ(n.g),1),35),n.wb._,get,"",0,1,lFt,!1,!1,!0,!1,!0,!1),A4(n.c,cFt,$tt,!0,!1,!0),ujn(uG(zrn(gZ(n.c),0),19),n.d,uG(zrn(gZ(n.d),1),19),"outgoingEdges",0,-1,cFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.c),1),19),n.d,uG(zrn(gZ(n.d),2),19),"incomingEdges",0,-1,cFt,!1,!1,!0,!1,!0,!1,!1),A4(n.i,bFt,_tt,!1,!1,!0),ujn(uG(zrn(gZ(n.i),0),19),n.j,uG(zrn(gZ(n.j),0),19),"ports",0,-1,bFt,!1,!1,!0,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.i),1),19),n.i,uG(zrn(gZ(n.i),2),19),pet,0,-1,bFt,!1,!1,!0,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.i),2),19),n.i,uG(zrn(gZ(n.i),1),19),det,0,1,bFt,!1,!1,!0,!1,!1,!1,!1),ujn(uG(zrn(gZ(n.i),3),19),n.d,uG(zrn(gZ(n.d),0),19),"containedEdges",0,-1,bFt,!1,!1,!0,!0,!1,!1,!1),mun(uG(zrn(gZ(n.i),4),35),n.wb.e,met,null,0,1,bFt,!0,!0,!1,!1,!0,!0),A4(n.j,wFt,Btt,!1,!1,!0),ujn(uG(zrn(gZ(n.j),0),19),n.i,uG(zrn(gZ(n.i),0),19),det,0,1,wFt,!1,!1,!0,!1,!1,!1,!1),A4(n.d,aFt,Dtt,!1,!1,!0),ujn(uG(zrn(gZ(n.d),0),19),n.i,uG(zrn(gZ(n.i),3),19),"containingNode",0,1,aFt,!1,!1,!0,!1,!1,!1,!1),ujn(uG(zrn(gZ(n.d),1),19),n.c,uG(zrn(gZ(n.c),0),19),vet,0,-1,aFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.d),2),19),n.c,uG(zrn(gZ(n.c),1),19),ket,0,-1,aFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.d),3),19),n.e,uG(zrn(gZ(n.e),5),19),yet,0,-1,aFt,!1,!1,!0,!0,!1,!1,!1),mun(uG(zrn(gZ(n.d),4),35),n.wb.e,"hyperedge",null,0,1,aFt,!0,!0,!1,!1,!0,!0),mun(uG(zrn(gZ(n.d),5),35),n.wb.e,met,null,0,1,aFt,!0,!0,!1,!1,!0,!0),mun(uG(zrn(gZ(n.d),6),35),n.wb.e,"selfloop",null,0,1,aFt,!0,!0,!1,!1,!0,!0),mun(uG(zrn(gZ(n.d),7),35),n.wb.e,"connected",null,0,1,aFt,!0,!0,!1,!1,!0,!0),A4(n.b,eFt,Ltt,!1,!1,!0),mun(uG(zrn(gZ(n.b),0),35),n.wb.t,"x",N0n,1,1,eFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.b),1),35),n.wb.t,"y",N0n,1,1,eFt,!1,!1,!0,!1,!0,!1),djn(a=Kln(n.b,null,"set"),n.wb.t,"x"),djn(a,n.wb.t,"y"),A4(n.e,oFt,xtt,!1,!1,!0),mun(uG(zrn(gZ(n.e),0),35),n.wb.t,"startX",null,0,1,oFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.e),1),35),n.wb.t,"startY",null,0,1,oFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.e),2),35),n.wb.t,"endX",null,0,1,oFt,!1,!1,!0,!1,!0,!1),mun(uG(zrn(gZ(n.e),3),35),n.wb.t,"endY",null,0,1,oFt,!1,!1,!0,!1,!0,!1),ujn(uG(zrn(gZ(n.e),4),19),n.b,null,Met,0,-1,oFt,!1,!1,!0,!0,!1,!1,!1),ujn(uG(zrn(gZ(n.e),5),19),n.d,uG(zrn(gZ(n.d),3),19),det,0,1,oFt,!1,!1,!0,!1,!1,!1,!1),ujn(uG(zrn(gZ(n.e),6),19),n.c,null,Tet,0,1,oFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.e),7),19),n.c,null,jet,0,1,oFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.e),8),19),n.e,uG(zrn(gZ(n.e),9),19),Eet,0,-1,oFt,!1,!1,!0,!1,!0,!1,!1),ujn(uG(zrn(gZ(n.e),9),19),n.e,uG(zrn(gZ(n.e),8),19),Set,0,-1,oFt,!1,!1,!0,!1,!0,!1,!1),mun(uG(zrn(gZ(n.e),10),35),n.wb._,fet,null,0,1,oFt,!1,!1,!0,!1,!0,!1),djn(a=Kln(n.e,null,"setStartLocation"),n.wb.t,"x"),djn(a,n.wb.t,"y"),djn(a=Kln(n.e,null,"setEndLocation"),n.wb.t,"x"),djn(a,n.wb.t,"y"),A4(n.k,Sat,"ElkPropertyToValueMapEntry",!1,!1,!1),t=NY(n.o),e=new ev,ttn((!t.d&&(t.d=new MD(g_t,t,1)),t.d),e),N$n(uG(zrn(gZ(n.k),0),35),t,"key",Sat,!1,!1,!0,!1),mun(uG(zrn(gZ(n.k),1),35),n.s,uet,null,0,1,Sat,!1,!1,!0,!1,!0,!1),UJ(n.o,lNt,"IProperty",!0),UJ(n.s,dat,"PropertyValue",!0),nwn(n,aet))}function aZn(){aZn=E,(vHt=Inn(tUt,ret,28,P0n,15,1))[9]=35,vHt[10]=19,vHt[13]=19,vHt[32]=51,vHt[33]=49,vHt[34]=33,qV(vHt,35,38,49),vHt[38]=1,qV(vHt,39,45,49),qV(vHt,45,47,-71),vHt[47]=49,qV(vHt,48,58,-71),vHt[58]=61,vHt[59]=49,vHt[60]=1,vHt[61]=49,vHt[62]=33,qV(vHt,63,65,49),qV(vHt,65,91,-3),qV(vHt,91,93,33),vHt[93]=1,vHt[94]=33,vHt[95]=-3,vHt[96]=33,qV(vHt,97,123,-3),qV(vHt,123,183,33),vHt[183]=-87,qV(vHt,184,192,33),qV(vHt,192,215,-19),vHt[215]=33,qV(vHt,216,247,-19),vHt[247]=33,qV(vHt,248,306,-19),qV(vHt,306,308,33),qV(vHt,308,319,-19),qV(vHt,319,321,33),qV(vHt,321,329,-19),vHt[329]=33,qV(vHt,330,383,-19),vHt[383]=33,qV(vHt,384,452,-19),qV(vHt,452,461,33),qV(vHt,461,497,-19),qV(vHt,497,500,33),qV(vHt,500,502,-19),qV(vHt,502,506,33),qV(vHt,506,536,-19),qV(vHt,536,592,33),qV(vHt,592,681,-19),qV(vHt,681,699,33),qV(vHt,699,706,-19),qV(vHt,706,720,33),qV(vHt,720,722,-87),qV(vHt,722,768,33),qV(vHt,768,838,-87),qV(vHt,838,864,33),qV(vHt,864,866,-87),qV(vHt,866,902,33),vHt[902]=-19,vHt[903]=-87,qV(vHt,904,907,-19),vHt[907]=33,vHt[908]=-19,vHt[909]=33,qV(vHt,910,930,-19),vHt[930]=33,qV(vHt,931,975,-19),vHt[975]=33,qV(vHt,976,983,-19),qV(vHt,983,986,33),vHt[986]=-19,vHt[987]=33,vHt[988]=-19,vHt[989]=33,vHt[990]=-19,vHt[991]=33,vHt[992]=-19,vHt[993]=33,qV(vHt,994,1012,-19),qV(vHt,1012,1025,33),qV(vHt,1025,1037,-19),vHt[1037]=33,qV(vHt,1038,1104,-19),vHt[1104]=33,qV(vHt,1105,1117,-19),vHt[1117]=33,qV(vHt,1118,1154,-19),vHt[1154]=33,qV(vHt,1155,1159,-87),qV(vHt,1159,1168,33),qV(vHt,1168,1221,-19),qV(vHt,1221,1223,33),qV(vHt,1223,1225,-19),qV(vHt,1225,1227,33),qV(vHt,1227,1229,-19),qV(vHt,1229,1232,33),qV(vHt,1232,1260,-19),qV(vHt,1260,1262,33),qV(vHt,1262,1270,-19),qV(vHt,1270,1272,33),qV(vHt,1272,1274,-19),qV(vHt,1274,1329,33),qV(vHt,1329,1367,-19),qV(vHt,1367,1369,33),vHt[1369]=-19,qV(vHt,1370,1377,33),qV(vHt,1377,1415,-19),qV(vHt,1415,1425,33),qV(vHt,1425,1442,-87),vHt[1442]=33,qV(vHt,1443,1466,-87),vHt[1466]=33,qV(vHt,1467,1470,-87),vHt[1470]=33,vHt[1471]=-87,vHt[1472]=33,qV(vHt,1473,1475,-87),vHt[1475]=33,vHt[1476]=-87,qV(vHt,1477,1488,33),qV(vHt,1488,1515,-19),qV(vHt,1515,1520,33),qV(vHt,1520,1523,-19),qV(vHt,1523,1569,33),qV(vHt,1569,1595,-19),qV(vHt,1595,1600,33),vHt[1600]=-87,qV(vHt,1601,1611,-19),qV(vHt,1611,1619,-87),qV(vHt,1619,1632,33),qV(vHt,1632,1642,-87),qV(vHt,1642,1648,33),vHt[1648]=-87,qV(vHt,1649,1720,-19),qV(vHt,1720,1722,33),qV(vHt,1722,1727,-19),vHt[1727]=33,qV(vHt,1728,1743,-19),vHt[1743]=33,qV(vHt,1744,1748,-19),vHt[1748]=33,vHt[1749]=-19,qV(vHt,1750,1765,-87),qV(vHt,1765,1767,-19),qV(vHt,1767,1769,-87),vHt[1769]=33,qV(vHt,1770,1774,-87),qV(vHt,1774,1776,33),qV(vHt,1776,1786,-87),qV(vHt,1786,2305,33),qV(vHt,2305,2308,-87),vHt[2308]=33,qV(vHt,2309,2362,-19),qV(vHt,2362,2364,33),vHt[2364]=-87,vHt[2365]=-19,qV(vHt,2366,2382,-87),qV(vHt,2382,2385,33),qV(vHt,2385,2389,-87),qV(vHt,2389,2392,33),qV(vHt,2392,2402,-19),qV(vHt,2402,2404,-87),qV(vHt,2404,2406,33),qV(vHt,2406,2416,-87),qV(vHt,2416,2433,33),qV(vHt,2433,2436,-87),vHt[2436]=33,qV(vHt,2437,2445,-19),qV(vHt,2445,2447,33),qV(vHt,2447,2449,-19),qV(vHt,2449,2451,33),qV(vHt,2451,2473,-19),vHt[2473]=33,qV(vHt,2474,2481,-19),vHt[2481]=33,vHt[2482]=-19,qV(vHt,2483,2486,33),qV(vHt,2486,2490,-19),qV(vHt,2490,2492,33),vHt[2492]=-87,vHt[2493]=33,qV(vHt,2494,2501,-87),qV(vHt,2501,2503,33),qV(vHt,2503,2505,-87),qV(vHt,2505,2507,33),qV(vHt,2507,2510,-87),qV(vHt,2510,2519,33),vHt[2519]=-87,qV(vHt,2520,2524,33),qV(vHt,2524,2526,-19),vHt[2526]=33,qV(vHt,2527,2530,-19),qV(vHt,2530,2532,-87),qV(vHt,2532,2534,33),qV(vHt,2534,2544,-87),qV(vHt,2544,2546,-19),qV(vHt,2546,2562,33),vHt[2562]=-87,qV(vHt,2563,2565,33),qV(vHt,2565,2571,-19),qV(vHt,2571,2575,33),qV(vHt,2575,2577,-19),qV(vHt,2577,2579,33),qV(vHt,2579,2601,-19),vHt[2601]=33,qV(vHt,2602,2609,-19),vHt[2609]=33,qV(vHt,2610,2612,-19),vHt[2612]=33,qV(vHt,2613,2615,-19),vHt[2615]=33,qV(vHt,2616,2618,-19),qV(vHt,2618,2620,33),vHt[2620]=-87,vHt[2621]=33,qV(vHt,2622,2627,-87),qV(vHt,2627,2631,33),qV(vHt,2631,2633,-87),qV(vHt,2633,2635,33),qV(vHt,2635,2638,-87),qV(vHt,2638,2649,33),qV(vHt,2649,2653,-19),vHt[2653]=33,vHt[2654]=-19,qV(vHt,2655,2662,33),qV(vHt,2662,2674,-87),qV(vHt,2674,2677,-19),qV(vHt,2677,2689,33),qV(vHt,2689,2692,-87),vHt[2692]=33,qV(vHt,2693,2700,-19),vHt[2700]=33,vHt[2701]=-19,vHt[2702]=33,qV(vHt,2703,2706,-19),vHt[2706]=33,qV(vHt,2707,2729,-19),vHt[2729]=33,qV(vHt,2730,2737,-19),vHt[2737]=33,qV(vHt,2738,2740,-19),vHt[2740]=33,qV(vHt,2741,2746,-19),qV(vHt,2746,2748,33),vHt[2748]=-87,vHt[2749]=-19,qV(vHt,2750,2758,-87),vHt[2758]=33,qV(vHt,2759,2762,-87),vHt[2762]=33,qV(vHt,2763,2766,-87),qV(vHt,2766,2784,33),vHt[2784]=-19,qV(vHt,2785,2790,33),qV(vHt,2790,2800,-87),qV(vHt,2800,2817,33),qV(vHt,2817,2820,-87),vHt[2820]=33,qV(vHt,2821,2829,-19),qV(vHt,2829,2831,33),qV(vHt,2831,2833,-19),qV(vHt,2833,2835,33),qV(vHt,2835,2857,-19),vHt[2857]=33,qV(vHt,2858,2865,-19),vHt[2865]=33,qV(vHt,2866,2868,-19),qV(vHt,2868,2870,33),qV(vHt,2870,2874,-19),qV(vHt,2874,2876,33),vHt[2876]=-87,vHt[2877]=-19,qV(vHt,2878,2884,-87),qV(vHt,2884,2887,33),qV(vHt,2887,2889,-87),qV(vHt,2889,2891,33),qV(vHt,2891,2894,-87),qV(vHt,2894,2902,33),qV(vHt,2902,2904,-87),qV(vHt,2904,2908,33),qV(vHt,2908,2910,-19),vHt[2910]=33,qV(vHt,2911,2914,-19),qV(vHt,2914,2918,33),qV(vHt,2918,2928,-87),qV(vHt,2928,2946,33),qV(vHt,2946,2948,-87),vHt[2948]=33,qV(vHt,2949,2955,-19),qV(vHt,2955,2958,33),qV(vHt,2958,2961,-19),vHt[2961]=33,qV(vHt,2962,2966,-19),qV(vHt,2966,2969,33),qV(vHt,2969,2971,-19),vHt[2971]=33,vHt[2972]=-19,vHt[2973]=33,qV(vHt,2974,2976,-19),qV(vHt,2976,2979,33),qV(vHt,2979,2981,-19),qV(vHt,2981,2984,33),qV(vHt,2984,2987,-19),qV(vHt,2987,2990,33),qV(vHt,2990,2998,-19),vHt[2998]=33,qV(vHt,2999,3002,-19),qV(vHt,3002,3006,33),qV(vHt,3006,3011,-87),qV(vHt,3011,3014,33),qV(vHt,3014,3017,-87),vHt[3017]=33,qV(vHt,3018,3022,-87),qV(vHt,3022,3031,33),vHt[3031]=-87,qV(vHt,3032,3047,33),qV(vHt,3047,3056,-87),qV(vHt,3056,3073,33),qV(vHt,3073,3076,-87),vHt[3076]=33,qV(vHt,3077,3085,-19),vHt[3085]=33,qV(vHt,3086,3089,-19),vHt[3089]=33,qV(vHt,3090,3113,-19),vHt[3113]=33,qV(vHt,3114,3124,-19),vHt[3124]=33,qV(vHt,3125,3130,-19),qV(vHt,3130,3134,33),qV(vHt,3134,3141,-87),vHt[3141]=33,qV(vHt,3142,3145,-87),vHt[3145]=33,qV(vHt,3146,3150,-87),qV(vHt,3150,3157,33),qV(vHt,3157,3159,-87),qV(vHt,3159,3168,33),qV(vHt,3168,3170,-19),qV(vHt,3170,3174,33),qV(vHt,3174,3184,-87),qV(vHt,3184,3202,33),qV(vHt,3202,3204,-87),vHt[3204]=33,qV(vHt,3205,3213,-19),vHt[3213]=33,qV(vHt,3214,3217,-19),vHt[3217]=33,qV(vHt,3218,3241,-19),vHt[3241]=33,qV(vHt,3242,3252,-19),vHt[3252]=33,qV(vHt,3253,3258,-19),qV(vHt,3258,3262,33),qV(vHt,3262,3269,-87),vHt[3269]=33,qV(vHt,3270,3273,-87),vHt[3273]=33,qV(vHt,3274,3278,-87),qV(vHt,3278,3285,33),qV(vHt,3285,3287,-87),qV(vHt,3287,3294,33),vHt[3294]=-19,vHt[3295]=33,qV(vHt,3296,3298,-19),qV(vHt,3298,3302,33),qV(vHt,3302,3312,-87),qV(vHt,3312,3330,33),qV(vHt,3330,3332,-87),vHt[3332]=33,qV(vHt,3333,3341,-19),vHt[3341]=33,qV(vHt,3342,3345,-19),vHt[3345]=33,qV(vHt,3346,3369,-19),vHt[3369]=33,qV(vHt,3370,3386,-19),qV(vHt,3386,3390,33),qV(vHt,3390,3396,-87),qV(vHt,3396,3398,33),qV(vHt,3398,3401,-87),vHt[3401]=33,qV(vHt,3402,3406,-87),qV(vHt,3406,3415,33),vHt[3415]=-87,qV(vHt,3416,3424,33),qV(vHt,3424,3426,-19),qV(vHt,3426,3430,33),qV(vHt,3430,3440,-87),qV(vHt,3440,3585,33),qV(vHt,3585,3631,-19),vHt[3631]=33,vHt[3632]=-19,vHt[3633]=-87,qV(vHt,3634,3636,-19),qV(vHt,3636,3643,-87),qV(vHt,3643,3648,33),qV(vHt,3648,3654,-19),qV(vHt,3654,3663,-87),vHt[3663]=33,qV(vHt,3664,3674,-87),qV(vHt,3674,3713,33),qV(vHt,3713,3715,-19),vHt[3715]=33,vHt[3716]=-19,qV(vHt,3717,3719,33),qV(vHt,3719,3721,-19),vHt[3721]=33,vHt[3722]=-19,qV(vHt,3723,3725,33),vHt[3725]=-19,qV(vHt,3726,3732,33),qV(vHt,3732,3736,-19),vHt[3736]=33,qV(vHt,3737,3744,-19),vHt[3744]=33,qV(vHt,3745,3748,-19),vHt[3748]=33,vHt[3749]=-19,vHt[3750]=33,vHt[3751]=-19,qV(vHt,3752,3754,33),qV(vHt,3754,3756,-19),vHt[3756]=33,qV(vHt,3757,3759,-19),vHt[3759]=33,vHt[3760]=-19,vHt[3761]=-87,qV(vHt,3762,3764,-19),qV(vHt,3764,3770,-87),vHt[3770]=33,qV(vHt,3771,3773,-87),vHt[3773]=-19,qV(vHt,3774,3776,33),qV(vHt,3776,3781,-19),vHt[3781]=33,vHt[3782]=-87,vHt[3783]=33,qV(vHt,3784,3790,-87),qV(vHt,3790,3792,33),qV(vHt,3792,3802,-87),qV(vHt,3802,3864,33),qV(vHt,3864,3866,-87),qV(vHt,3866,3872,33),qV(vHt,3872,3882,-87),qV(vHt,3882,3893,33),vHt[3893]=-87,vHt[3894]=33,vHt[3895]=-87,vHt[3896]=33,vHt[3897]=-87,qV(vHt,3898,3902,33),qV(vHt,3902,3904,-87),qV(vHt,3904,3912,-19),vHt[3912]=33,qV(vHt,3913,3946,-19),qV(vHt,3946,3953,33),qV(vHt,3953,3973,-87),vHt[3973]=33,qV(vHt,3974,3980,-87),qV(vHt,3980,3984,33),qV(vHt,3984,3990,-87),vHt[3990]=33,vHt[3991]=-87,vHt[3992]=33,qV(vHt,3993,4014,-87),qV(vHt,4014,4017,33),qV(vHt,4017,4024,-87),vHt[4024]=33,vHt[4025]=-87,qV(vHt,4026,4256,33),qV(vHt,4256,4294,-19),qV(vHt,4294,4304,33),qV(vHt,4304,4343,-19),qV(vHt,4343,4352,33),vHt[4352]=-19,vHt[4353]=33,qV(vHt,4354,4356,-19),vHt[4356]=33,qV(vHt,4357,4360,-19),vHt[4360]=33,vHt[4361]=-19,vHt[4362]=33,qV(vHt,4363,4365,-19),vHt[4365]=33,qV(vHt,4366,4371,-19),qV(vHt,4371,4412,33),vHt[4412]=-19,vHt[4413]=33,vHt[4414]=-19,vHt[4415]=33,vHt[4416]=-19,qV(vHt,4417,4428,33),vHt[4428]=-19,vHt[4429]=33,vHt[4430]=-19,vHt[4431]=33,vHt[4432]=-19,qV(vHt,4433,4436,33),qV(vHt,4436,4438,-19),qV(vHt,4438,4441,33),vHt[4441]=-19,qV(vHt,4442,4447,33),qV(vHt,4447,4450,-19),vHt[4450]=33,vHt[4451]=-19,vHt[4452]=33,vHt[4453]=-19,vHt[4454]=33,vHt[4455]=-19,vHt[4456]=33,vHt[4457]=-19,qV(vHt,4458,4461,33),qV(vHt,4461,4463,-19),qV(vHt,4463,4466,33),qV(vHt,4466,4468,-19),vHt[4468]=33,vHt[4469]=-19,qV(vHt,4470,4510,33),vHt[4510]=-19,qV(vHt,4511,4520,33),vHt[4520]=-19,qV(vHt,4521,4523,33),vHt[4523]=-19,qV(vHt,4524,4526,33),qV(vHt,4526,4528,-19),qV(vHt,4528,4535,33),qV(vHt,4535,4537,-19),vHt[4537]=33,vHt[4538]=-19,vHt[4539]=33,qV(vHt,4540,4547,-19),qV(vHt,4547,4587,33),vHt[4587]=-19,qV(vHt,4588,4592,33),vHt[4592]=-19,qV(vHt,4593,4601,33),vHt[4601]=-19,qV(vHt,4602,7680,33),qV(vHt,7680,7836,-19),qV(vHt,7836,7840,33),qV(vHt,7840,7930,-19),qV(vHt,7930,7936,33),qV(vHt,7936,7958,-19),qV(vHt,7958,7960,33),qV(vHt,7960,7966,-19),qV(vHt,7966,7968,33),qV(vHt,7968,8006,-19),qV(vHt,8006,8008,33),qV(vHt,8008,8014,-19),qV(vHt,8014,8016,33),qV(vHt,8016,8024,-19),vHt[8024]=33,vHt[8025]=-19,vHt[8026]=33,vHt[8027]=-19,vHt[8028]=33,vHt[8029]=-19,vHt[8030]=33,qV(vHt,8031,8062,-19),qV(vHt,8062,8064,33),qV(vHt,8064,8117,-19),vHt[8117]=33,qV(vHt,8118,8125,-19),vHt[8125]=33,vHt[8126]=-19,qV(vHt,8127,8130,33),qV(vHt,8130,8133,-19),vHt[8133]=33,qV(vHt,8134,8141,-19),qV(vHt,8141,8144,33),qV(vHt,8144,8148,-19),qV(vHt,8148,8150,33),qV(vHt,8150,8156,-19),qV(vHt,8156,8160,33),qV(vHt,8160,8173,-19),qV(vHt,8173,8178,33),qV(vHt,8178,8181,-19),vHt[8181]=33,qV(vHt,8182,8189,-19),qV(vHt,8189,8400,33),qV(vHt,8400,8413,-87),qV(vHt,8413,8417,33),vHt[8417]=-87,qV(vHt,8418,8486,33),vHt[8486]=-19,qV(vHt,8487,8490,33),qV(vHt,8490,8492,-19),qV(vHt,8492,8494,33),vHt[8494]=-19,qV(vHt,8495,8576,33),qV(vHt,8576,8579,-19),qV(vHt,8579,12293,33),vHt[12293]=-87,vHt[12294]=33,vHt[12295]=-19,qV(vHt,12296,12321,33),qV(vHt,12321,12330,-19),qV(vHt,12330,12336,-87),vHt[12336]=33,qV(vHt,12337,12342,-87),qV(vHt,12342,12353,33),qV(vHt,12353,12437,-19),qV(vHt,12437,12441,33),qV(vHt,12441,12443,-87),qV(vHt,12443,12445,33),qV(vHt,12445,12447,-87),qV(vHt,12447,12449,33),qV(vHt,12449,12539,-19),vHt[12539]=33,qV(vHt,12540,12543,-87),qV(vHt,12543,12549,33),qV(vHt,12549,12589,-19),qV(vHt,12589,19968,33),qV(vHt,19968,40870,-19),qV(vHt,40870,44032,33),qV(vHt,44032,55204,-19),qV(vHt,55204,C0n,33),qV(vHt,57344,65534,33)}function oZn(n){var 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Stress",x4n="org.eclipse.elk.nodeSize.minimum",R4n="org.eclipse.elk.alg.force.stress",K4n="Layered layout",F4n="org.eclipse.elk.alg.layered",_4n="org.eclipse.elk.alg.layered.compaction.components",B4n="org.eclipse.elk.alg.layered.compaction.oned",H4n="org.eclipse.elk.alg.layered.compaction.oned.algs",U4n="org.eclipse.elk.alg.layered.compaction.recthull",G4n="org.eclipse.elk.alg.layered.components",q4n="NONE",X4n="MODEL_ORDER",z4n={3:1,6:1,4:1,9:1,5:1,126:1},V4n={3:1,6:1,4:1,5:1,150:1,100:1,115:1},W4n="org.eclipse.elk.alg.layered.compound",Q4n={47:1},J4n="org.eclipse.elk.alg.layered.graph",Y4n=" -> ",Z4n="Not supported by LGraph",n6n="Port side is undefined",t6n={3:1,6:1,4:1,5:1,482:1,150:1,100:1,115:1},e6n={3:1,6:1,4:1,5:1,150:1,199:1,210:1,100:1,115:1},i6n={3:1,6:1,4:1,5:1,150:1,2042:1,210:1,100:1,115:1},r6n="([{\"' \t\r\n",c6n=")]}\"' \t\r\n",a6n="The given string contains parts that cannot be parsed as numbers.",o6n="org.eclipse.elk.core.math",u6n={3:1,4:1,140:1,214:1,423:1},s6n={3:1,4:1,107:1,214:1,423:1},h6n="org.eclipse.elk.alg.layered.graph.transform",f6n="ElkGraphImporter",l6n="ElkGraphImporter/lambda$1$Type",b6n="ElkGraphImporter/lambda$2$Type",w6n="ElkGraphImporter/lambda$4$Type",d6n="org.eclipse.elk.alg.layered.intermediate",g6n="Node margin calculation",p6n="ONE_SIDED_GREEDY_SWITCH",m6n="TWO_SIDED_GREEDY_SWITCH",v6n="No implementation is available for the layout processor ",k6n="IntermediateProcessorStrategy",y6n="Node '",M6n="FIRST_SEPARATE",T6n="LAST_SEPARATE",j6n="Odd port side processing",E6n="org.eclipse.elk.alg.layered.intermediate.compaction",S6n="org.eclipse.elk.alg.layered.intermediate.greedyswitch",P6n="org.eclipse.elk.alg.layered.p3order.counting",C6n={230:1},I6n="org.eclipse.elk.alg.layered.intermediate.loops",O6n="org.eclipse.elk.alg.layered.intermediate.loops.ordering",A6n="org.eclipse.elk.alg.layered.intermediate.loops.routing",L6n="org.eclipse.elk.alg.layered.intermediate.preserveorder",N6n="org.eclipse.elk.alg.layered.intermediate.wrapping",$6n="org.eclipse.elk.alg.layered.options",D6n="INTERACTIVE",x6n="GREEDY",R6n="DEPTH_FIRST",K6n="EDGE_LENGTH",F6n="SELF_LOOPS",_6n="firstTryWithInitialOrder",B6n="org.eclipse.elk.layered.directionCongruency",H6n="org.eclipse.elk.layered.feedbackEdges",U6n="org.eclipse.elk.layered.interactiveReferencePoint",G6n="org.eclipse.elk.layered.mergeEdges",q6n="org.eclipse.elk.layered.mergeHierarchyEdges",X6n="org.eclipse.elk.layered.allowNonFlowPortsToSwitchSides",z6n="org.eclipse.elk.layered.portSortingStrategy",V6n="org.eclipse.elk.layered.thoroughness",W6n="org.eclipse.elk.layered.unnecessaryBendpoints",Q6n="org.eclipse.elk.layered.generatePositionAndLayerIds",J6n="org.eclipse.elk.layered.cycleBreaking.strategy",Y6n="org.eclipse.elk.layered.layering.strategy",Z6n="org.eclipse.elk.layered.layering.layerConstraint",n5n="org.eclipse.elk.layered.layering.layerChoiceConstraint",t5n="org.eclipse.elk.layered.layering.layerId",e5n="org.eclipse.elk.layered.layering.minWidth.upperBoundOnWidth",i5n="org.eclipse.elk.layered.layering.minWidth.upperLayerEstimationScalingFactor",r5n="org.eclipse.elk.layered.layering.nodePromotion.strategy",c5n="org.eclipse.elk.layered.layering.nodePromotion.maxIterations",a5n="org.eclipse.elk.layered.layering.coffmanGraham.layerBound",o5n="org.eclipse.elk.layered.crossingMinimization.strategy",u5n="org.eclipse.elk.layered.crossingMinimization.forceNodeModelOrder",s5n="org.eclipse.elk.layered.crossingMinimization.hierarchicalSweepiness",h5n="org.eclipse.elk.layered.crossingMinimization.semiInteractive",f5n="org.eclipse.elk.layered.crossingMinimization.inLayerPredOf",l5n="org.eclipse.elk.layered.crossingMinimization.inLayerSuccOf",b5n="org.eclipse.elk.layered.crossingMinimization.positionChoiceConstraint",w5n="org.eclipse.elk.layered.crossingMinimization.positionId",d5n="org.eclipse.elk.layered.crossingMinimization.greedySwitch.activationThreshold",g5n="org.eclipse.elk.layered.crossingMinimization.greedySwitch.type",p5n="org.eclipse.elk.layered.crossingMinimization.greedySwitchHierarchical.type",m5n="org.eclipse.elk.layered.nodePlacement.strategy",v5n="org.eclipse.elk.layered.nodePlacement.favorStraightEdges",k5n="org.eclipse.elk.layered.nodePlacement.bk.edgeStraightening",y5n="org.eclipse.elk.layered.nodePlacement.bk.fixedAlignment",M5n="org.eclipse.elk.layered.nodePlacement.linearSegments.deflectionDampening",T5n="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility",j5n="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility.default",E5n="org.eclipse.elk.layered.edgeRouting.selfLoopDistribution",S5n="org.eclipse.elk.layered.edgeRouting.selfLoopOrdering",P5n="org.eclipse.elk.layered.edgeRouting.splines.mode",C5n="org.eclipse.elk.layered.edgeRouting.splines.sloppy.layerSpacingFactor",I5n="org.eclipse.elk.layered.edgeRouting.polyline.slopedEdgeZoneWidth",O5n="org.eclipse.elk.layered.spacing.baseValue",A5n="org.eclipse.elk.layered.spacing.edgeNodeBetweenLayers",L5n="org.eclipse.elk.layered.spacing.edgeEdgeBetweenLayers",N5n="org.eclipse.elk.layered.spacing.nodeNodeBetweenLayers",$5n="org.eclipse.elk.layered.priority.direction",D5n="org.eclipse.elk.layered.priority.shortness",x5n="org.eclipse.elk.layered.priority.straightness",R5n="org.eclipse.elk.layered.compaction.connectedComponents",K5n="org.eclipse.elk.layered.compaction.postCompaction.strategy",F5n="org.eclipse.elk.layered.compaction.postCompaction.constraints",_5n="org.eclipse.elk.layered.highDegreeNodes.treatment",B5n="org.eclipse.elk.layered.highDegreeNodes.threshold",H5n="org.eclipse.elk.layered.highDegreeNodes.treeHeight",U5n="org.eclipse.elk.layered.wrapping.strategy",G5n="org.eclipse.elk.layered.wrapping.additionalEdgeSpacing",q5n="org.eclipse.elk.layered.wrapping.correctionFactor",X5n="org.eclipse.elk.layered.wrapping.cutting.strategy",z5n="org.eclipse.elk.layered.wrapping.cutting.cuts",V5n="org.eclipse.elk.layered.wrapping.cutting.msd.freedom",W5n="org.eclipse.elk.layered.wrapping.validify.strategy",Q5n="org.eclipse.elk.layered.wrapping.validify.forbiddenIndices",J5n="org.eclipse.elk.layered.wrapping.multiEdge.improveCuts",Y5n="org.eclipse.elk.layered.wrapping.multiEdge.distancePenalty",Z5n="org.eclipse.elk.layered.wrapping.multiEdge.improveWrappedEdges",n8n="org.eclipse.elk.layered.edgeLabels.sideSelection",t8n="org.eclipse.elk.layered.edgeLabels.centerLabelPlacementStrategy",e8n="org.eclipse.elk.layered.considerModelOrder.strategy",i8n="org.eclipse.elk.layered.considerModelOrder.portModelOrder",r8n="org.eclipse.elk.layered.considerModelOrder.noModelOrder",c8n="org.eclipse.elk.layered.considerModelOrder.components",a8n="org.eclipse.elk.layered.considerModelOrder.longEdgeStrategy",o8n="org.eclipse.elk.layered.considerModelOrder.crossingCounterNodeInfluence",u8n="org.eclipse.elk.layered.considerModelOrder.crossingCounterPortInfluence",s8n="layering",h8n="layering.minWidth",f8n="layering.nodePromotion",l8n="crossingMinimization",b8n="org.eclipse.elk.hierarchyHandling",w8n="crossingMinimization.greedySwitch",d8n="nodePlacement",g8n="nodePlacement.bk",p8n="edgeRouting",m8n="org.eclipse.elk.edgeRouting",v8n="spacing",k8n="priority",y8n="compaction",M8n="compaction.postCompaction",T8n="Specifies whether and how post-process compaction is applied.",j8n="highDegreeNodes",E8n="wrapping",S8n="wrapping.cutting",P8n="wrapping.validify",C8n="wrapping.multiEdge",I8n="edgeLabels",O8n="considerModelOrder",A8n="org.eclipse.elk.spacing.commentComment",L8n="org.eclipse.elk.spacing.commentNode",N8n="org.eclipse.elk.spacing.edgeEdge",$8n="org.eclipse.elk.spacing.edgeNode",D8n="org.eclipse.elk.spacing.labelLabel",x8n="org.eclipse.elk.spacing.labelPortHorizontal",R8n="org.eclipse.elk.spacing.labelPortVertical",K8n="org.eclipse.elk.spacing.labelNode",F8n="org.eclipse.elk.spacing.nodeSelfLoop",_8n="org.eclipse.elk.spacing.portPort",B8n="org.eclipse.elk.spacing.individual",H8n="org.eclipse.elk.port.borderOffset",U8n="org.eclipse.elk.noLayout",G8n="org.eclipse.elk.port.side",q8n="org.eclipse.elk.debugMode",X8n="org.eclipse.elk.alignment",z8n="org.eclipse.elk.insideSelfLoops.activate",V8n="org.eclipse.elk.insideSelfLoops.yo",W8n="org.eclipse.elk.direction",Q8n="org.eclipse.elk.nodeLabels.padding",J8n="org.eclipse.elk.portLabels.nextToPortIfPossible",Y8n="org.eclipse.elk.portLabels.treatAsGroup",Z8n="org.eclipse.elk.portAlignment.default",n9n="org.eclipse.elk.portAlignment.north",t9n="org.eclipse.elk.portAlignment.south",e9n="org.eclipse.elk.portAlignment.west",i9n="org.eclipse.elk.portAlignment.east",r9n="org.eclipse.elk.contentAlignment",c9n="org.eclipse.elk.junctionPoints",a9n="org.eclipse.elk.edgeLabels.placement",o9n="org.eclipse.elk.port.index",u9n="org.eclipse.elk.commentBox",s9n="org.eclipse.elk.hypernode",h9n="org.eclipse.elk.port.anchor",f9n="org.eclipse.elk.partitioning.activate",l9n="org.eclipse.elk.partitioning.partition",b9n="org.eclipse.elk.position",w9n="org.eclipse.elk.margins",d9n="org.eclipse.elk.spacing.portsSurrounding",g9n="org.eclipse.elk.interactiveLayout",p9n="org.eclipse.elk.core.util",m9n={3:1,4:1,5:1,601:1},v9n="NETWORK_SIMPLEX",k9n="SIMPLE",y9n={106:1,47:1},M9n="org.eclipse.elk.alg.layered.p1cycles",T9n="org.eclipse.elk.alg.layered.p2layers",j9n={413:1,230:1},E9n={846:1,3:1,4:1},S9n="org.eclipse.elk.alg.layered.p3order",P9n="org.eclipse.elk.alg.layered.p4nodes",C9n={3:1,4:1,5:1,854:1},I9n=1e-5,O9n="org.eclipse.elk.alg.layered.p4nodes.bk",A9n="org.eclipse.elk.alg.layered.p5edges",L9n="org.eclipse.elk.alg.layered.p5edges.orthogonal",N9n="org.eclipse.elk.alg.layered.p5edges.orthogonal.direction",$9n=1e-6,D9n="org.eclipse.elk.alg.layered.p5edges.splines",x9n=.09999999999999998,R9n=1e-8,K9n=4.71238898038469,F9n=3.141592653589793,_9n="org.eclipse.elk.alg.mrtree",B9n=.10000000149011612,H9n="SUPER_ROOT",U9n="org.eclipse.elk.alg.mrtree.graph",G9n=-17976931348623157e292,q9n="org.eclipse.elk.alg.mrtree.intermediate",X9n="Processor compute fanout",z9n={3:1,6:1,4:1,5:1,534:1,100:1,115:1},V9n="Set neighbors in level",W9n="org.eclipse.elk.alg.mrtree.options",Q9n="DESCENDANTS",J9n="org.eclipse.elk.mrtree.compaction",Y9n="org.eclipse.elk.mrtree.edgeEndTextureLength",Z9n="org.eclipse.elk.mrtree.treeLevel",n7n="org.eclipse.elk.mrtree.positionConstraint",t7n="org.eclipse.elk.mrtree.weighting",e7n="org.eclipse.elk.mrtree.edgeRoutingMode",i7n="org.eclipse.elk.mrtree.searchOrder",r7n="Position Constraint",c7n="org.eclipse.elk.mrtree",a7n="org.eclipse.elk.tree",o7n="Processor arrange level",u7n="org.eclipse.elk.alg.mrtree.p2order",s7n="org.eclipse.elk.alg.mrtree.p4route",h7n="org.eclipse.elk.alg.radial",f7n=6.283185307179586,l7n="Before",b7n=5e-324,w7n="After",d7n="org.eclipse.elk.alg.radial.intermediate",g7n="COMPACTION",p7n="org.eclipse.elk.alg.radial.intermediate.compaction",m7n={3:1,4:1,5:1,100:1},v7n="org.eclipse.elk.alg.radial.intermediate.optimization",k7n="No implementation is available for the layout option ",y7n="org.eclipse.elk.alg.radial.options",M7n="org.eclipse.elk.radial.centerOnRoot",T7n="org.eclipse.elk.radial.orderId",j7n="org.eclipse.elk.radial.radius",E7n="org.eclipse.elk.radial.rotate",S7n="org.eclipse.elk.radial.compactor",P7n="org.eclipse.elk.radial.compactionStepSize",C7n="org.eclipse.elk.radial.sorter",I7n="org.eclipse.elk.radial.wedgeCriteria",O7n="org.eclipse.elk.radial.optimizationCriteria",A7n="org.eclipse.elk.radial.rotation.targetAngle",L7n="org.eclipse.elk.radial.rotation.computeAdditionalWedgeSpace",N7n="org.eclipse.elk.radial.rotation.outgoingEdgeAngles",$7n="Compaction",D7n="rotation",x7n="org.eclipse.elk.radial",R7n="org.eclipse.elk.alg.radial.p1position.wedge",K7n="org.eclipse.elk.alg.radial.sorting",F7n=5.497787143782138,_7n=3.9269908169872414,B7n=2.356194490192345,H7n="org.eclipse.elk.alg.rectpacking",U7n="org.eclipse.elk.alg.rectpacking.intermediate",G7n="org.eclipse.elk.alg.rectpacking.options",q7n="org.eclipse.elk.rectpacking.trybox",X7n="org.eclipse.elk.rectpacking.currentPosition",z7n="org.eclipse.elk.rectpacking.desiredPosition",V7n="org.eclipse.elk.rectpacking.inNewRow",W7n="org.eclipse.elk.rectpacking.widthApproximation.strategy",Q7n="org.eclipse.elk.rectpacking.widthApproximation.targetWidth",J7n="org.eclipse.elk.rectpacking.widthApproximation.optimizationGoal",Y7n="org.eclipse.elk.rectpacking.widthApproximation.lastPlaceShift",Z7n="org.eclipse.elk.rectpacking.packing.strategy",nnt="org.eclipse.elk.rectpacking.packing.compaction.rowHeightReevaluation",tnt="org.eclipse.elk.rectpacking.packing.compaction.iterations",ent="org.eclipse.elk.rectpacking.whiteSpaceElimination.strategy",int="widthApproximation",rnt="Compaction Strategy",cnt="packing.compaction",ant="org.eclipse.elk.rectpacking",ont="org.eclipse.elk.alg.rectpacking.p1widthapproximation",unt="org.eclipse.elk.alg.rectpacking.p2packing",snt="No Compaction",hnt="org.eclipse.elk.alg.rectpacking.p3whitespaceelimination",fnt="org.eclipse.elk.alg.rectpacking.util",lnt="No implementation available for ",bnt="org.eclipse.elk.alg.spore",wnt="org.eclipse.elk.alg.spore.options",dnt="org.eclipse.elk.sporeCompaction",gnt="org.eclipse.elk.underlyingLayoutAlgorithm",pnt="org.eclipse.elk.processingOrder.treeConstruction",mnt="org.eclipse.elk.processingOrder.spanningTreeCostFunction",vnt="org.eclipse.elk.processingOrder.preferredRoot",knt="org.eclipse.elk.processingOrder.rootSelection",ynt="org.eclipse.elk.structure.structureExtractionStrategy",Mnt="org.eclipse.elk.compaction.compactionStrategy",Tnt="org.eclipse.elk.compaction.orthogonal",jnt="org.eclipse.elk.overlapRemoval.maxIterations",Ent="org.eclipse.elk.overlapRemoval.runScanline",Snt="processingOrder",Pnt="overlapRemoval",Cnt="org.eclipse.elk.sporeOverlap",Int="org.eclipse.elk.alg.spore.p1structure",Ont="org.eclipse.elk.alg.spore.p2processingorder",Ant="org.eclipse.elk.alg.spore.p3execution",Lnt="Topdown Layout",Nnt="Invalid index: ",$nt="org.eclipse.elk.core.alg",Dnt={341:1},xnt={294:1},Rnt="Make sure its type is registered with the ",Knt=" utility class.",Fnt="true",_nt="false",Bnt="Couldn't clone property '",Hnt=.05,Unt="org.eclipse.elk.core.options",Gnt=1.2999999523162842,qnt="org.eclipse.elk.box",Xnt="org.eclipse.elk.expandNodes",znt="org.eclipse.elk.box.packingMode",Vnt="org.eclipse.elk.algorithm",Wnt="org.eclipse.elk.resolvedAlgorithm",Qnt="org.eclipse.elk.bendPoints",Jnt="org.eclipse.elk.labelManager",Ynt="org.eclipse.elk.scaleFactor",Znt="org.eclipse.elk.childAreaWidth",ntt="org.eclipse.elk.childAreaHeight",ttt="org.eclipse.elk.animate",ett="org.eclipse.elk.animTimeFactor",itt="org.eclipse.elk.layoutAncestors",rtt="org.eclipse.elk.maxAnimTime",ctt="org.eclipse.elk.minAnimTime",att="org.eclipse.elk.progressBar",ott="org.eclipse.elk.validateGraph",utt="org.eclipse.elk.validateOptions",stt="org.eclipse.elk.zoomToFit",htt="org.eclipse.elk.font.name",ftt="org.eclipse.elk.font.size",ltt="org.eclipse.elk.topdown.sizeApproximator",btt="org.eclipse.elk.topdown.scaleCap",wtt="org.eclipse.elk.edge.type",dtt="partitioning",gtt="nodeLabels",ptt="portAlignment",mtt="nodeSize",vtt="port",ktt="portLabels",ytt="topdown",Mtt="insideSelfLoops",Ttt="org.eclipse.elk.fixed",jtt="org.eclipse.elk.random",Ett={3:1,34:1,22:1,347:1},Stt="port must have a parent node to calculate the port side",Ptt="The edge needs to have exactly one edge section. Found: ",Ctt="org.eclipse.elk.core.util.adapters",Itt="org.eclipse.emf.ecore",Ott="org.eclipse.elk.graph",Att="EMapPropertyHolder",Ltt="ElkBendPoint",Ntt="ElkGraphElement",$tt="ElkConnectableShape",Dtt="ElkEdge",xtt="ElkEdgeSection",Rtt="EModelElement",Ktt="ENamedElement",Ftt="ElkLabel",_tt="ElkNode",Btt="ElkPort",Htt={94:1,93:1},Utt="org.eclipse.emf.common.notify.impl",Gtt="The feature '",qtt="' is not a valid changeable feature",Xtt="Expecting null",ztt="' is not a valid feature",Vtt="The feature ID",Wtt=" is not a valid feature ID",Qtt=32768,Jtt={110:1,94:1,93:1,58:1,54:1,99:1},Ytt="org.eclipse.emf.ecore.impl",Ztt="org.eclipse.elk.graph.impl",net="Recursive containment not allowed for ",tet="The datatype '",eet="' is not a valid classifier",iet="The value '",ret={195:1,3:1,4:1},cet="The class '",aet="http://www.eclipse.org/elk/ElkGraph",oet="property",uet="value",set="source",het="properties",fet="identifier",bet="height",wet="width",det="parent",get="text",pet="children",met="hierarchical",vet="sources",ket="targets",yet="sections",Met="bendPoints",Tet="outgoingShape",jet="incomingShape",Eet="outgoingSections",Set="incomingSections",Pet="org.eclipse.emf.common.util",Cet="Severe implementation error in the Json to ElkGraph importer.",Iet="id",Oet="org.eclipse.elk.graph.json",Aet="Unhandled parameter types: ",Let="startPoint",Net="An edge must have at least one source and one target (edge id: '",$et="').",Det="Referenced edge section does not exist: ",xet=" (edge id: '",Ret="target",Ket="sourcePoint",Fet="targetPoint",_et="group",Bet="name",Het="connectableShape cannot be null",Uet="edge cannot be null",Get="Passed edge is not 'simple'.",qet="org.eclipse.elk.graph.util",Xet="The 'no duplicates' constraint is violated",zet="targetIndex=",Vet=", 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$mt,Dmt,xmt,Rmt,Kmt,Fmt,_mt,Bmt,Hmt,Umt,Gmt,qmt,Xmt,zmt,Vmt,Wmt,Qmt,Jmt,Ymt,Zmt,nvt,tvt,evt,ivt,rvt,cvt,avt,ovt,uvt,svt,hvt,fvt,lvt,bvt,wvt,dvt,gvt,pvt,mvt,vvt,kvt,yvt,Mvt,Tvt,jvt,Evt,Svt,Pvt,Cvt,Ivt,Ovt,Avt,Lvt,Nvt,$vt,Dvt,xvt,Rvt,Kvt,Fvt,_vt,Bvt,Hvt,Uvt,Gvt,qvt,Xvt,zvt,Vvt,Wvt,Qvt,Jvt,Yvt,Zvt,nkt,tkt,ekt,ikt,rkt,ckt,akt,okt,ukt,skt,hkt,fkt,lkt,bkt,wkt,dkt,gkt,pkt,mkt,vkt,kkt,ykt,Mkt,Tkt,jkt,Ekt,Skt,Pkt,Ckt,Ikt,Okt,Akt,Lkt,Nkt,$kt,Dkt,xkt,Rkt,Kkt,Fkt,_kt,Bkt,Hkt,Ukt,Gkt,qkt,Xkt,zkt,Vkt,Wkt,Qkt,Jkt,Ykt,Zkt,nyt,tyt,eyt,iyt,ryt,cyt,ayt,oyt,uyt,syt,hyt,fyt,lyt,byt,wyt,dyt,gyt,pyt,myt,vyt,kyt,yyt,Myt,Tyt,jyt,Eyt,Syt,Pyt,Cyt,Iyt,Oyt,Ayt,Lyt,Nyt,$yt,Dyt,xyt,Ryt,Kyt,Fyt,_yt,Byt,Hyt,Uyt,Gyt,qyt,Xyt,zyt,Vyt,Wyt,Qyt,Jyt,Yyt,Zyt,nMt,tMt,eMt,iMt,rMt,cMt,aMt,oMt,uMt,sMt,hMt,fMt,lMt,bMt,wMt,dMt,gMt,pMt,mMt,vMt,kMt,yMt,MMt,TMt,jMt,EMt,SMt,PMt,CMt,IMt,OMt,AMt,LMt,NMt,$Mt,DMt,xMt,RMt,KMt,FMt,_Mt,BMt,HMt,UMt,GMt,qMt,XMt,zMt,VMt,WMt,QMt,JMt,YMt,ZMt,nTt,tTt,eTt,iTt,rTt,cTt,aTt,oTt,uTt,sTt,hTt,fTt,lTt,bTt,wTt,dTt,gTt,pTt,mTt,vTt,kTt,yTt,MTt,TTt,jTt,ETt,STt,PTt,CTt,ITt,OTt,ATt,LTt,NTt,$Tt,DTt,xTt,RTt,KTt,FTt,_Tt,BTt,HTt,UTt,GTt,qTt,XTt,zTt,VTt,WTt,QTt,JTt,YTt,ZTt,njt,tjt,ejt,ijt,rjt,cjt,ajt=_cn($6n,"LayerConstraint",171,Oat,l9,lH);sDn(859,1,K2n,fl),uZn.hf=function(n){Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,B6n),""),"Direction Congruency"),"Specifies how drawings of the same graph with different layout directions compare to each other: either a natural reading direction is preserved or the drawings are rotated versions of each other."),vvt),(lAn(),gNt)),Mgt),ggn((Rkn(),hNt))))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,H6n),""),"Feedback Edges"),"Whether feedback edges should be highlighted by routing around the nodes."),(qx(),!1)),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,U6n),""),"Interactive Reference Point"),"Determines which point of a node is considered by interactive layout phases."),Hvt),gNt),Nmt),ggn(hNt)))),H4(n,U6n,J6n,Gvt),H4(n,U6n,o5n,Uvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,G6n),""),"Merge Edges"),"Edges that have no ports are merged so they touch the connected nodes at the same points. When this option is disabled, one port is created for each edge directly connected to a node. When it is enabled, all such incoming edges share an input port, and all outgoing edges share an output port."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,q6n),""),"Merge Hierarchy-Crossing Edges"),"If hierarchical layout is active, hierarchy-crossing edges use as few hierarchical ports as possible. They are broken by the algorithm, with hierarchical ports inserted as required. Usually, one such port is created for each edge at each hierarchy crossing point. With this option set to true, we try to create as few hierarchical ports as possible in the process. In particular, all edges that form a hyperedge can share a port."),!0),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(VT(JT(QT(YT(qT(GT(WT(XT(zT(new xu,X6n),""),"Allow Non-Flow Ports To Switch Sides"),"Specifies whether non-flow ports may switch sides if their node's port constraints are either FIXED_SIDE or FIXED_ORDER. A non-flow port is a port on a side that is not part of the currently configured layout flow. For instance, given a left-to-right layout direction, north and south ports would be considered non-flow ports. Further note that the underlying criterium whether to switch sides or not solely relies on the minimization of edge crossings. Hence, edge length and other aesthetics criteria are not addressed."),!1),wNt),cot),ggn(fNt)),Uhn(cT($ot,1),zZn,2,6,["org.eclipse.elk.layered.northOrSouthPort"])))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,z6n),""),"Port Sorting Strategy"),"Only relevant for nodes with FIXED_SIDE port constraints. Determines the way a node's ports are distributed on the sides of a node if their order is not prescribed. The option is set on parent nodes."),Pkt),gNt),Jjt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,V6n),""),"Thoroughness"),"How much effort should be spent to produce a nice layout."),xwn(7)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,W6n),""),"Add Unnecessary Bendpoints"),"Adds bend points even if an edge does not change direction. If true, each long edge dummy will contribute a bend point to its edges and hierarchy-crossing edges will always get a bend point where they cross hierarchy boundaries. By default, bend points are only added where an edge changes direction."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Q6n),""),"Generate Position and Layer IDs"),"If enabled position id and layer id are generated, which are usually only used internally when setting the interactiveLayout option. This option should be specified on the root node."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,J6n),"cycleBreaking"),"Cycle Breaking Strategy"),"Strategy for cycle breaking. Cycle breaking looks for cycles in the graph and determines which edges to reverse to break the cycles. Reversed edges will end up pointing to the opposite direction of regular edges (that is, reversed edges will point left if edges usually point right)."),pvt),gNt),pgt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Y6n),s8n),"Node Layering Strategy"),"Strategy for node layering."),ckt),gNt),fjt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Z6n),s8n),"Layer Constraint"),"Determines a constraint on the placement of the node regarding the layering."),Wvt),gNt),ajt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,n5n),s8n),"Layer Choice Constraint"),"Allows to set a constraint regarding the layer placement of a node. Let i be the value of teh constraint. Assumed the drawing has n layers and i < n. If set to i, it expresses that the node should be placed in i-th layer. Should i>=n be true then the node is placed in the last layer of the drawing. Note that this option is not part of any of ELK Layered's default configurations but is only evaluated as part of the `InteractiveLayeredGraphVisitor`, which must be applied manually or used via the `DiagramLayoutEngine."),null),mNt),dot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,t5n),s8n),"Layer ID"),"Layer identifier that was calculated by ELK Layered for a node. This is only generated if interactiveLayot or generatePositionAndLayerIds is set."),xwn(-1)),mNt),dot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,e5n),h8n),"Upper Bound On Width [MinWidth Layerer]"),"Defines a loose upper bound on the width of the MinWidth layerer. If set to '-1' multiple values are tested and the best result is selected."),xwn(4)),mNt),dot),ggn(hNt)))),H4(n,e5n,Y6n,Yvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,i5n),h8n),"Upper Layer Estimation Scaling Factor [MinWidth Layerer]"),"Multiplied with Upper Bound On Width for defining an upper bound on the width of layers which haven't been determined yet, but whose maximum width had been (roughly) estimated by the MinWidth algorithm. Compensates for too high estimations. If set to '-1' multiple values are tested and the best result is selected."),xwn(2)),mNt),dot),ggn(hNt)))),H4(n,i5n,Y6n,nkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,r5n),f8n),"Node Promotion Strategy"),"Reduces number of dummy nodes after layering phase (if possible)."),ikt),gNt),Hjt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,c5n),f8n),"Max Node Promotion Iterations"),"Limits the number of iterations for node promotion."),xwn(0)),mNt),dot),ggn(hNt)))),H4(n,c5n,r5n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,a5n),"layering.coffmanGraham"),"Layer Bound"),"The maximum number of nodes allowed per layer."),xwn(vZn)),mNt),dot),ggn(hNt)))),H4(n,a5n,Y6n,Xvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,o5n),l8n),"Crossing Minimization Strategy"),"Strategy for crossing minimization."),dvt),gNt),agt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,u5n),l8n),"Force Node Model Order"),"The node order given by the model does not change to produce a better layout. E.g. if node A is before node B in the model this is not changed during crossing minimization. This assumes that the node model order is already respected before crossing minimization. This can be achieved by setting considerModelOrder.strategy to NODES_AND_EDGES."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,s5n),l8n),"Hierarchical Sweepiness"),"How likely it is to use cross-hierarchy (1) vs bottom-up (-1)."),.1),dNt),fot),ggn(hNt)))),H4(n,s5n,b8n,ovt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,h5n),l8n),"Semi-Interactive Crossing Minimization"),"Preserves the order of nodes within a layer but still minimizes crossings between edges connecting long edge dummies. Derives the desired order from positions specified by the 'org.eclipse.elk.position' layout option. Requires a crossing minimization strategy that is able to process 'in-layer' constraints."),!1),wNt),cot),ggn(hNt)))),H4(n,h5n,o5n,bvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,f5n),l8n),"In Layer Predecessor of"),"Allows to set a constraint which specifies of which node the current node is the predecessor. If set to 's' then the node is the predecessor of 's' and is in the same layer"),null),kNt),$ot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,l5n),l8n),"In Layer Successor of"),"Allows to set a constraint which specifies of which node the current node is the successor. If set to 's' then the node is the successor of 's' and is in the same layer"),null),kNt),$ot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,b5n),l8n),"Position Choice Constraint"),"Allows to set a constraint regarding the position placement of a node in a layer. Assumed the layer in which the node placed includes n other nodes and i < n. If set to i, it expresses that the node should be placed at the i-th position. Should i>=n be true then the node is placed at the last position in the layer. Note that this option is not part of any of ELK Layered's default configurations but is only evaluated as part of the `InteractiveLayeredGraphVisitor`, which must be applied manually or used via the `DiagramLayoutEngine."),null),mNt),dot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,w5n),l8n),"Position ID"),"Position within a layer that was determined by ELK Layered for a node. This is only generated if interactiveLayot or generatePositionAndLayerIds is set."),xwn(-1)),mNt),dot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,d5n),w8n),"Greedy Switch Activation Threshold"),"By default it is decided automatically if the greedy switch is activated or not. The decision is based on whether the size of the input graph (without dummy nodes) is smaller than the value of this option. A '0' enforces the activation."),xwn(40)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,g5n),w8n),"Greedy Switch Crossing Minimization"),"Greedy Switch strategy for crossing minimization. The greedy switch heuristic is executed after the regular crossing minimization as a post-processor. Note that if 'hierarchyHandling' is set to 'INCLUDE_CHILDREN', the 'greedySwitchHierarchical.type' option must be used."),rvt),gNt),mpt),ggn(hNt)))),H4(n,g5n,o5n,cvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,p5n),"crossingMinimization.greedySwitchHierarchical"),"Greedy Switch Crossing Minimization (hierarchical)"),"Activates the greedy switch heuristic in case hierarchical layout is used. The differences to the non-hierarchical case (see 'greedySwitch.type') are: 1) greedy switch is inactive by default, 3) only the option value set on the node at which hierarchical layout starts is relevant, and 2) if it's activated by the user, it properly addresses hierarchy-crossing edges."),nvt),gNt),mpt),ggn(hNt)))),H4(n,p5n,o5n,tvt),H4(n,p5n,b8n,evt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,m5n),d8n),"Node Placement Strategy"),"Strategy for node placement."),Ekt),gNt),xjt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,v5n),d8n),"Favor Straight Edges Over Balancing"),"Favor straight edges over a balanced node placement. The default behavior is determined automatically based on the used 'edgeRouting'. For an orthogonal style it is set to true, for all other styles to false."),wNt),cot),ggn(hNt)))),H4(n,v5n,m5n,dkt),H4(n,v5n,m5n,gkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,k5n),g8n),"BK Edge Straightening"),"Specifies whether the Brandes Koepf node placer tries to increase the number of straight edges at the expense of diagram size. There is a subtle difference to the 'favorStraightEdges' option, which decides whether a balanced placement of the nodes is desired, or not. In bk terms this means combining the four alignments into a single balanced one, or not. This option on the other hand tries to straighten additional edges during the creation of each of the four alignments."),skt),gNt),Hgt),ggn(hNt)))),H4(n,k5n,m5n,hkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,y5n),g8n),"BK Fixed Alignment"),"Tells the BK node placer to use a certain alignment (out of its four) instead of the one producing the smallest height, or the combination of all four."),lkt),gNt),Qgt),ggn(hNt)))),H4(n,y5n,m5n,bkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,M5n),"nodePlacement.linearSegments"),"Linear Segments Deflection Dampening"),"Dampens the movement of nodes to keep the diagram from getting too large."),.3),dNt),fot),ggn(hNt)))),H4(n,M5n,m5n,mkt),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,T5n),"nodePlacement.networkSimplex"),"Node Flexibility"),"Aims at shorter and straighter edges. Two configurations are possible: (a) allow ports to move freely on the side they are assigned to (the order is always defined beforehand), (b) additionally allow to enlarge a node wherever it helps. If this option is not configured for a node, the 'nodeFlexibility.default' value is used, which is specified for the node's parent."),gNt),jjt),ggn(sNt)))),H4(n,T5n,m5n,Tkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,j5n),"nodePlacement.networkSimplex.nodeFlexibility"),"Node Flexibility Default"),"Default value of the 'nodeFlexibility' option for the children of a hierarchical node."),ykt),gNt),jjt),ggn(hNt)))),H4(n,j5n,m5n,Mkt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,E5n),p8n),"Self-Loop Distribution"),"Alter the distribution of the loops around the node. It only takes effect for PortConstraints.FREE."),Pvt),gNt),oEt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,S5n),p8n),"Self-Loop Ordering"),"Alter the ordering of the loops they can either be stacked or sequenced. It only takes effect for PortConstraints.FREE."),Ivt),gNt),lEt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,P5n),"edgeRouting.splines"),"Spline Routing Mode"),"Specifies the way control points are assembled for each individual edge. CONSERVATIVE ensures that edges are properly routed around the nodes but feels rather orthogonal at times. SLOPPY uses fewer control points to obtain curvier edge routes but may result in edges overlapping nodes."),Avt),gNt),pEt),ggn(hNt)))),H4(n,P5n,m8n,Lvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,C5n),"edgeRouting.splines.sloppy"),"Sloppy Spline Layer Spacing Factor"),"Spacing factor for routing area between layers when using sloppy spline routing."),.2),dNt),fot),ggn(hNt)))),H4(n,C5n,m8n,$vt),H4(n,C5n,P5n,Dvt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,I5n),"edgeRouting.polyline"),"Sloped Edge Zone Width"),"Width of the strip to the left and to the right of each layer where the polyline edge router is allowed to refrain from ensuring that edges are routed horizontally. This prevents awkward bend points for nodes that extent almost to the edge of their layer."),2),dNt),fot),ggn(hNt)))),H4(n,I5n,m8n,Evt),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,O5n),v8n),"Spacing Base Value"),"An optional base value for all other layout options of the 'spacing' group. It can be used to conveniently alter the overall 'spaciousness' of the drawing. Whenever an explicit value is set for the other layout options, this base value will have no effect. The base value is not inherited, i.e. it must be set for each hierarchical node."),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,A5n),v8n),"Edge Node Between Layers Spacing"),"The spacing to be preserved between nodes and edges that are routed next to the node's layer. For the spacing between nodes and edges that cross the node's layer 'spacing.edgeNode' is used."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,L5n),v8n),"Edge Edge Between Layer Spacing"),"Spacing to be preserved between pairs of edges that are routed between the same pair of layers. Note that 'spacing.edgeEdge' is used for the spacing between pairs of edges crossing the same layer."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,N5n),v8n),"Node Node Between Layers Spacing"),"The spacing to be preserved between any pair of nodes of two adjacent layers. Note that 'spacing.nodeNode' is used for the spacing between nodes within the layer itself."),20),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,$5n),k8n),"Direction Priority"),"Defines how important it is to have a certain edge point into the direction of the overall layout. This option is evaluated during the cycle breaking phase."),xwn(0)),mNt),dot),ggn(oNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,D5n),k8n),"Shortness Priority"),"Defines how important it is to keep an edge as short as possible. This option is evaluated during the layering phase."),xwn(0)),mNt),dot),ggn(oNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,x5n),k8n),"Straightness Priority"),"Defines how important it is to keep an edge straight, i.e. aligned with one of the two axes. 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This option is currently not supported if 'Layout Hierarchy' is set."),1),dNt),fot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,Znt),""),"Child Area Width"),"The width of the area occupied by the laid out children of a node."),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,ntt),""),"Child Area Height"),"The height of the area occupied by the laid out children of a node."),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,k4n),""),Lnt),"Turns topdown layout on and off. If this option is enabled, hierarchical layout will be computed first for the root node and then for its children recursively. Layouts are then scaled down to fit the area provided by their parents. 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This option is not supported if 'Hierarchy Handling' is set to 'INCLUDE_CHILDREN'"),!1),wNt),cot),ggn(hNt)))),H4(n,k4n,j4n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ttt),""),"Animate"),"Whether the shift from the old layout to the new computed layout shall be animated."),!0),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ett),""),"Animation Time Factor"),"Factor for computation of animation time. The higher the value, the longer the animation time. If the value is 0, the resulting time is always equal to the minimum defined by 'Minimal Animation Time'."),xwn(100)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,itt),""),"Layout Ancestors"),"Whether the hierarchy levels on the path from the selected element to the root of the diagram shall be included in the layout process."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,rtt),""),"Maximal Animation Time"),"The maximal time for animations, in milliseconds."),xwn(4e3)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ctt),""),"Minimal Animation Time"),"The minimal time for animations, in milliseconds."),xwn(400)),mNt),dot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,att),""),"Progress Bar"),"Whether a progress bar shall be displayed during layout computations."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ott),""),"Validate Graph"),"Whether the graph shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,utt),""),"Validate Options"),"Whether layout options shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!0),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,stt),""),"Zoom to Fit"),"Whether the zoom level shall be set to view the whole diagram after layout."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,znt),"box"),"Box Layout Mode"),"Configures the packing mode used by the {@link BoxLayoutProvider}. If SIMPLE is not required (neither priorities are used nor the interactive mode), GROUP_DEC can improve the packing and decrease the area. GROUP_MIXED and GROUP_INC may, in very specific scenarios, work better."),u$t),gNt),SKt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,A8n),v8n),"Comment Comment Spacing"),"Spacing to be preserved between a comment box and other comment boxes connected to the same node. The space left between comment boxes of different nodes is controlled by the node-node spacing."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,L8n),v8n),"Comment Node Spacing"),"Spacing to be preserved between a node and its connected comment boxes. The space left between a node and the comments of another node is controlled by the node-node spacing."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,D3n),v8n),"Components Spacing"),"Spacing to be preserved between pairs of connected components. This option is only relevant if 'separateConnectedComponents' is activated."),20),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,N8n),v8n),"Edge Spacing"),"Spacing to be preserved between any two edges. Note that while this can somewhat easily be satisfied for the segments of orthogonally drawn edges, it is harder for general polylines or splines."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,u4n),v8n),"Edge Label Spacing"),"The minimal distance to be preserved between a label and the edge it is associated with. Note that the placement of a label is influenced by the 'edgelabels.placement' option."),2),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,$8n),v8n),"Edge Node Spacing"),"Spacing to be preserved between nodes and edges."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,D8n),v8n),"Label Spacing"),"Determines the amount of space to be left between two labels of the same graph element."),0),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,K8n),v8n),"Label Node Spacing"),"Spacing to be preserved between labels and the border of node they are associated with. Note that the placement of a label is influenced by the 'nodelabels.placement' option."),5),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,x8n),v8n),"Horizontal spacing between Label and Port"),"Horizontal spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,R8n),v8n),"Vertical spacing between Label and Port"),"Vertical spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,o4n),v8n),"Node Spacing"),"The minimal distance to be preserved between each two nodes."),20),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,F8n),v8n),"Node Self Loop Spacing"),"Spacing to be preserved between a node and its self loops."),10),dNt),fot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,_8n),v8n),"Port Spacing"),"Spacing between pairs of ports of the same node."),10),dNt),fot),WX(hNt,Uhn(cT(MNt,1),p1n,170,0,[sNt]))))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,B8n),v8n),"Individual Spacing"),"Allows to specify individual spacing values for graph elements that shall be different from the value specified for the element's parent."),vNt),AKt),WX(sNt,Uhn(cT(MNt,1),p1n,170,0,[oNt,fNt,uNt]))))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,d9n),v8n),"Additional Port Space"),"Additional space around the sets of ports on each node side. For each side of a node, this option can reserve additional space before and after the ports on each side. For example, a top spacing of 20 makes sure that the first port on the western and eastern side is 20 units away from the northern border."),KDt),vNt),hbt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,l9n),dtt),"Layout Partition"),"Partition to which the node belongs. This requires Layout Partitioning to be active. Nodes with lower partition IDs will appear to the left of nodes with higher partition IDs (assuming a left-to-right layout direction)."),mNt),dot),WX(hNt,Uhn(cT(MNt,1),p1n,170,0,[sNt]))))),H4(n,l9n,f9n,nDt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,f9n),dtt),"Layout Partitioning"),"Whether to activate partitioned layout. This will allow to group nodes through the Layout Partition option. a pair of nodes with different partition indices is then placed such that the node with lower index is placed to the left of the other node (with left-to-right layout direction). Depending on the layout algorithm, this may only be guaranteed to work if all nodes have a layout partition configured, or at least if edges that cross partitions are not part of a partition-crossing cycle."),Y$t),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Q8n),gtt),"Node Label Padding"),"Define padding for node labels that are placed inside of a node."),R$t),vNt),Sbt),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,m4n),gtt),"Node Label Placement"),"Hints for where node labels are to be placed; if empty, the node label's position is not modified."),F$t),pNt),eRt),WX(sNt,Uhn(cT(MNt,1),p1n,170,0,[uNt]))))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Z8n),ptt),"Port Alignment"),"Defines the default port distribution for a node. May be overridden for each side individually."),eDt),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,n9n),ptt),"Port Alignment (North)"),"Defines how ports on the northern side are placed, overriding the node's general port alignment."),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,t9n),ptt),"Port Alignment (South)"),"Defines how ports on the southern side are placed, overriding the node's general port alignment."),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,e9n),ptt),"Port Alignment (West)"),"Defines how ports on the western side are placed, overriding the node's general port alignment."),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,i9n),ptt),"Port Alignment (East)"),"Defines how ports on the eastern side are placed, overriding the node's general port alignment."),gNt),hRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,p4n),mtt),"Node Size Constraints"),"What should be taken into account when calculating a node's size. Empty size constraints specify that a node's size is already fixed and should not be changed."),B$t),pNt),sKt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,g4n),mtt),"Node Size Options"),"Options modifying the behavior of the size constraints set on a node. Each member of the set specifies something that should be taken into account when calculating node sizes. The empty set corresponds to no further modifications."),X$t),pNt),wKt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,x4n),mtt),"Node Size Minimum"),"The minimal size to which a node can be reduced."),G$t),vNt),PNt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,d4n),mtt),"Fixed Graph Size"),"By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so."),!1),wNt),cot),ggn(hNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,a9n),I8n),"Edge Label Placement"),"Gives a hint on where to put edge labels."),v$t),gNt),lxt),ggn(uNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,b4n),I8n),"Inline Edge Labels"),"If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible."),!1),wNt),cot),ggn(uNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,htt),"font"),"Font Name"),"Font name used for a label."),kNt),$ot),ggn(uNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,ftt),"font"),"Font Size"),"Font size used for a label."),mNt),dot),ggn(uNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,h9n),vtt),"Port Anchor Offset"),"The offset to the port position where connections shall be attached."),vNt),PNt),ggn(fNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,o9n),vtt),"Port Index"),"The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are given for the ports. Additionally, the option 'Port Side' must be defined in this case."),mNt),dot),ggn(fNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,G8n),vtt),"Port Side"),"The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports."),pDt),gNt),YRt),ggn(fNt)))),Zgn(n,new tAn(JT(QT(YT(GT(WT(XT(zT(new xu,H8n),vtt),"Port Border Offset"),"The offset of ports on the node border. With a positive offset the port is moved outside of the node, while with a negative offset the port is moved towards the inside. An offset of 0 means that the port is placed directly on the node border, i.e. if the port side is north, the port's south border touches the nodes's north border; if the port side is east, the port's west border touches the nodes's east border; if the port side is south, the port's north border touches the node's south border; if the port side is west, the port's east border touches the node's west border."),dNt),fot),ggn(fNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,v4n),ktt),"Port Label Placement"),"Decides on a placement method for port labels; if empty, the node label's position is not modified."),wDt),pNt),BRt),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,J8n),ktt),"Port Labels Next to Port"),"Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE."),!1),wNt),cot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,Y8n),ktt),"Treat Port Labels as Group"),"If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being placed below. This only applies to labels of eastern and western ports and will have no effect if labels are not placed next to their port."),!0),wNt),cot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,y4n),ytt),"Topdown Scale Factor"),"The scaling factor to be applied to the nodes laid out within the node in recursive topdown layout. The difference to 'Scale Factor' is that the node itself is not scaled. This value has to be set on hierarchical nodes."),1),dNt),fot),ggn(hNt)))),H4(n,y4n,j4n,zDt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,ltt),ytt),"Topdown Size Approximator"),"The size approximator to be used to set sizes of hierarchical nodes during topdown layout. The default value is null, which results in nodes keeping whatever size is defined for them e.g. through parent parallel node or by manually setting the size."),null),gNt),jKt),ggn(sNt)))),H4(n,ltt,j4n,WDt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,M4n),ytt),"Topdown Hierarchical Node Width"),"The fixed size of a hierarchical node when using topdown layout. If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself."),150),dNt),fot),WX(hNt,Uhn(cT(MNt,1),p1n,170,0,[sNt]))))),H4(n,M4n,j4n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,T4n),ytt),"Topdown Hierarchical Node Aspect Ratio"),"The fixed aspect ratio of a hierarchical node when using topdown layout. Default is 1/sqrt(2). If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself."),1.414),dNt),fot),WX(hNt,Uhn(cT(MNt,1),p1n,170,0,[sNt]))))),H4(n,T4n,j4n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,j4n),ytt),"Topdown Node Type"),"The different node types used for topdown layout. If the node type is set to {@link TopdownNodeTypes.PARALLEL_NODE} the algorithm must be set to a {@link TopdownLayoutProvider} such as {@link TopdownPacking}. The {@link nodeSize.fixedGraphSize} option is technically only required for hierarchical nodes."),null),gNt),mKt),ggn(sNt)))),H4(n,j4n,d4n,null),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,btt),ytt),"Topdown Scale Cap"),"Determines the upper limit for the topdown scale factor. The default value is 1.0 which ensures that nested children never end up appearing larger than their parents in terms of unit sizes such as the font size. If the limit is larger, nodes will fully utilize the available space, but it is counteriniuitive for inner nodes to have a larger scale than outer nodes."),1),dNt),fot),ggn(hNt)))),H4(n,btt,j4n,qDt),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,z8n),Mtt),"Activate Inside Self Loops"),"Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical ports."),!1),wNt),cot),ggn(sNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,V8n),Mtt),"Inside Self Loop"),"Whether a self loop should be routed inside a node instead of around that node."),!1),wNt),cot),ggn(oNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,x3n),"edge"),"Edge Thickness"),"The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it."),1),dNt),fot),ggn(oNt)))),Zgn(n,new tAn(JT(QT(YT(qT(GT(WT(XT(zT(new xu,wtt),"edge"),"Edge Type"),"The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations."),T$t),gNt),Lxt),ggn(oNt)))),sP(n,new I2(BT(UT(HT(new du,S0n),"Layered"),'The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hierarchies", and then reordered such that the number of edge crossings is minimized. Afterwards, concrete coordinates are computed for the nodes and edge bend points.'))),sP(n,new I2(BT(UT(HT(new du,"org.eclipse.elk.orthogonal"),"Orthogonal"),'Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia \'86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representation of the graph. The orthogonal shape is computed in the second phase, which aims at minimizing the number of edge bends, and is called orthogonalization. The third phase leads to concrete coordinates for nodes and edge bend points by applying a compaction method, thus defining the metrics.'))),sP(n,new I2(BT(UT(HT(new du,c4n),"Force"),"Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. The first successful method of this kind was proposed by Eades in 1984."))),sP(n,new I2(BT(UT(HT(new du,"org.eclipse.elk.circle"),"Circle"),"Circular layout algorithms emphasize cycles or biconnected components of a graph by arranging them in circles. This is useful if a drawing is desired where such components are clearly grouped, or where cycles are shown as prominent OPTIONS of the graph."))),sP(n,new I2(BT(UT(HT(new du,a7n),"Tree"),"Specialized layout methods for trees, i.e. acyclic graphs. The regular structure of graphs that have no undirected cycles can be emphasized using an algorithm of this type."))),sP(n,new I2(BT(UT(HT(new du,"org.eclipse.elk.planar"),"Planar"),"Algorithms that require a planar or upward planar graph. 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F$(n,15)},uZn.gk=function(n){return Inn(yat,H3n,15,n,0,1)},zW(kct,"XMLTypePackageImpl/37",1997),sDn(1998,1,Wrt,bf),uZn.fk=function(n){return F$(n,15)},uZn.gk=function(n){return Inn(yat,H3n,15,n,0,1)},zW(kct,"XMLTypePackageImpl/38",1998),sDn(1999,1,Wrt,wf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/39",1999),sDn(1964,1,Wrt,df),uZn.fk=function(n){return F$(n,682)},uZn.gk=function(n){return Inn(bHt,EZn,2120,n,0,1)},zW(kct,"XMLTypePackageImpl/4",1964),sDn(2e3,1,Wrt,gf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/40",2e3),sDn(2001,1,Wrt,pf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/41",2001),sDn(2002,1,Wrt,mf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/42",2002),sDn(2003,1,Wrt,vf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/43",2003),sDn(2004,1,Wrt,kf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/44",2004),sDn(2005,1,Wrt,yf),uZn.fk=function(n){return F$(n,191)},uZn.gk=function(n){return Inn(Tot,zZn,191,n,0,1)},zW(kct,"XMLTypePackageImpl/45",2005),sDn(2006,1,Wrt,Mf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/46",2006),sDn(2007,1,Wrt,Tf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/47",2007),sDn(2008,1,Wrt,jf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/48",2008),sDn(2009,1,Wrt,Ef),uZn.fk=function(n){return F$(n,191)},uZn.gk=function(n){return Inn(Tot,zZn,191,n,0,1)},zW(kct,"XMLTypePackageImpl/49",2009),sDn(1965,1,Wrt,Sf),uZn.fk=function(n){return F$(n,683)},uZn.gk=function(n){return Inn(wHt,EZn,2121,n,0,1)},zW(kct,"XMLTypePackageImpl/5",1965),sDn(2010,1,Wrt,Pf),uZn.fk=function(n){return F$(n,168)},uZn.gk=function(n){return Inn(yot,zZn,168,n,0,1)},zW(kct,"XMLTypePackageImpl/50",2010),sDn(2011,1,Wrt,Cf),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/51",2011),sDn(2012,1,Wrt,If),uZn.fk=function(n){return F$(n,17)},uZn.gk=function(n){return Inn(dot,zZn,17,n,0,1)},zW(kct,"XMLTypePackageImpl/52",2012),sDn(1966,1,Wrt,Of),uZn.fk=function(n){return RA(n)},uZn.gk=function(n){return Inn($ot,zZn,2,n,6,1)},zW(kct,"XMLTypePackageImpl/6",1966),sDn(1967,1,Wrt,Af),uZn.fk=function(n){return F$(n,195)},uZn.gk=function(n){return Inn(tUt,zZn,195,n,0,2)},zW(kct,"XMLTypePackageImpl/7",1967),sDn(1968,1,Wrt,Lf),uZn.fk=function(n){return KA(n)},uZn.gk=function(n){return Inn(cot,zZn,484,n,8,1)},zW(kct,"XMLTypePackageImpl/8",1968),sDn(1969,1,Wrt,Nf),uZn.fk=function(n){return F$(n,222)},uZn.gk=function(n){return Inn(uot,zZn,222,n,0,1)},zW(kct,"XMLTypePackageImpl/9",1969),sDn(55,63,S1n,CM),zW(Xct,"RegEx/ParseException",55),sDn(836,1,{},$f),uZn.bm=function(n){return n<this.j&&63==VJ(this.i,n)},uZn.cm=function(){var n,t,e,i,r;if(10!=this.c)throw hv(new CM(rZn((t$(),eit))));switch(n=this.a){case 101:n=27;break;case 102:n=12;break;case 110:n=10;break;case 114:n=13;break;case 116:n=9;break;case 120:if(EYn(this),0!=this.c)throw hv(new CM(rZn((t$(),Pit))));if(123==this.a){for(r=0,e=0;;){if(EYn(this),0!=this.c)throw hv(new CM(rZn((t$(),Pit))));if((r=CMn(this.a))<0)break;if(e>16*e)throw hv(new CM(rZn((t$(),Cit))));e=16*e+r}if(125!=this.a)throw hv(new CM(rZn((t$(),Iit))));if(e>zct)throw hv(new CM(rZn((t$(),Oit))));n=e}else{if(r=0,0!=this.c||(r=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(e=r,EYn(this),0!=this.c||(r=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));n=e=16*e+r}break;case 117:if(i=0,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));n=t=16*t+i;break;case 118:if(EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if(t=16*t+i,EYn(this),0!=this.c||(i=CMn(this.a))<0)throw hv(new CM(rZn((t$(),Pit))));if((t=16*t+i)>zct)throw hv(new CM(rZn((t$(),"parser.descappe.4"))));n=t;break;case 65:case 90:case 122:throw hv(new CM(rZn((t$(),Ait))))}return n},uZn.dm=function(n){var t;switch(n){case 100:t=32==(32&this.e)?kJn("Nd",!0):(QYn(),CHt);break;case 68:t=32==(32&this.e)?kJn("Nd",!1):(QYn(),NHt);break;case 119:t=32==(32&this.e)?kJn("IsWord",!0):(QYn(),HHt);break;case 87:t=32==(32&this.e)?kJn("IsWord",!1):(QYn(),DHt);break;case 115:t=32==(32&this.e)?kJn("IsSpace",!0):(QYn(),RHt);break;case 83:t=32==(32&this.e)?kJn("IsSpace",!1):(QYn(),$Ht);break;default:throw hv(new Ky(Vct+n.toString(16)))}return t},uZn.em=function(n){var t,e,i,r,c,a,o,u,s,h,f;for(this.b=1,EYn(this),t=null,0==this.c&&94==this.a?(EYn(this),n?(QYn(),QYn(),s=new K3(5)):(QYn(),QYn(),HFn(t=new K3(4),0,zct),s=new K3(4))):(QYn(),QYn(),s=new K3(4)),r=!0;1!=(f=this.c)&&(0!=f||93!=this.a||r);){if(r=!1,e=this.a,i=!1,10==f)switch(e){case 100:case 68:case 119:case 87:case 115:case 83:TXn(s,this.dm(e)),i=!0;break;case 105:case 73:case 99:case 67:(e=this.um(s,e))<0&&(i=!0);break;case 112:case 80:if(!(h=PNn(this,e)))throw hv(new CM(rZn((t$(),git))));TXn(s,h),i=!0;break;default:e=this.cm()}else if(20==f){if((c=aR(this.i,58,this.d))<0)throw hv(new CM(rZn((t$(),pit))));if(a=!0,94==VJ(this.i,this.d)&&(++this.d,a=!1),!(o=itn(r1(this.i,this.d,c),a,512==(512&this.e))))throw hv(new CM(rZn((t$(),vit))));if(TXn(s,o),i=!0,c+1>=this.j||93!=VJ(this.i,c+1))throw hv(new CM(rZn((t$(),pit))));this.d=c+2}if(EYn(this),!i)if(0!=this.c||45!=this.a)HFn(s,e,e);else{if(EYn(this),1==(f=this.c))throw hv(new CM(rZn((t$(),mit))));0==f&&93==this.a?(HFn(s,e,e),HFn(s,45,45)):(u=this.a,10==f&&(u=this.cm()),EYn(this),HFn(s,e,u))}(this.e&w1n)==w1n&&0==this.c&&44==this.a&&EYn(this)}if(1==this.c)throw hv(new CM(rZn((t$(),mit))));return t&&(lWn(t,s),s=t),pxn(s),szn(s),this.b=0,EYn(this),s},uZn.fm=function(){var n,t,e,i;for(e=this.em(!1);7!=(i=this.c);){if(n=this.a,(0!=i||45!=n&&38!=n)&&4!=i)throw hv(new CM(rZn((t$(),Eit))));if(EYn(this),9!=this.c)throw hv(new CM(rZn((t$(),jit))));if(t=this.em(!1),4==i)TXn(e,t);else if(45==n)lWn(e,t);else{if(38!=n)throw hv(new Ky("ASSERT"));GVn(e,t)}}return EYn(this),e},uZn.gm=function(){var n,t;return n=this.a-48,QYn(),QYn(),t=new F1(12,null,n),!this.g&&(this.g=new ck),zv(this.g,new Wm(n)),EYn(this),t},uZn.hm=function(){return EYn(this),QYn(),KHt},uZn.im=function(){return EYn(this),QYn(),xHt},uZn.jm=function(){throw hv(new CM(rZn((t$(),Lit))))},uZn.km=function(){throw hv(new CM(rZn((t$(),Lit))))},uZn.lm=function(){return EYn(this),jln()},uZn.mm=function(){return EYn(this),QYn(),_Ht},uZn.nm=function(){return EYn(this),QYn(),UHt},uZn.om=function(){var n;if(this.d>=this.j||64!=(65504&(n=VJ(this.i,this.d++))))throw hv(new CM(rZn((t$(),lit))));return EYn(this),QYn(),QYn(),new IX(0,n-64)},uZn.pm=function(){return EYn(this),VGn()},uZn.qm=function(){return EYn(this),QYn(),GHt},uZn.rm=function(){var n;return QYn(),QYn(),n=new IX(0,105),EYn(this),n},uZn.sm=function(){return EYn(this),QYn(),BHt},uZn.tm=function(){return EYn(this),QYn(),FHt},uZn.um=function(n,t){return this.cm()},uZn.vm=function(){return EYn(this),QYn(),AHt},uZn.wm=function(){var n,t,e,i,r;if(this.d+1>=this.j)throw hv(new CM(rZn((t$(),sit))));if(i=-1,t=null,49<=(n=VJ(this.i,this.d))&&n<=57){if(i=n-48,!this.g&&(this.g=new ck),zv(this.g,new Wm(i)),++this.d,41!=VJ(this.i,this.d))throw hv(new CM(rZn((t$(),ait))));++this.d}else switch(63==n&&--this.d,EYn(this),(t=eYn(this)).e){case 20:case 21:case 22:case 23:break;case 8:if(7!=this.c)throw hv(new CM(rZn((t$(),ait))));break;default:throw hv(new CM(rZn((t$(),hit))))}if(EYn(this),e=null,2==(r=Evn(this)).e){if(2!=r.Pm())throw hv(new CM(rZn((t$(),fit))));e=r.Lm(1),r=r.Lm(0)}if(7!=this.c)throw hv(new CM(rZn((t$(),ait))));return EYn(this),QYn(),QYn(),new bin(i,t,r,e)},uZn.xm=function(){return EYn(this),QYn(),LHt},uZn.ym=function(){var n;if(EYn(this),n=jV(24,Evn(this)),7!=this.c)throw hv(new CM(rZn((t$(),ait))));return EYn(this),n},uZn.zm=function(){var n;if(EYn(this),n=jV(20,Evn(this)),7!=this.c)throw hv(new CM(rZn((t$(),ait))));return EYn(this),n},uZn.Am=function(){var n;if(EYn(this),n=jV(22,Evn(this)),7!=this.c)throw 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We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group)."]}),"\n",(0,a.jsx)(t.p,{children:"You are welcome to contact us if you have any questions about forming a team or participating in the challenge:"}),"\n",(0,a.jsx)(t.p,{children:(0,a.jsx)(t.a,{href:"mailto:claritychallengecontact@gmail.com",children:"Email the Clarity Team"})})]})}function d(e={}){const{wrapper:t}={...(0,n.a)(),...e.components};return t?(0,a.jsx)(t,{...e,children:(0,a.jsx)(p,{...e})}):p(e)}},11151:(e,t,o)=>{o.d(t,{Z:()=>r,a:()=>i});var a=o(67294);const n={},s=a.createContext(n);function i(e){const t=a.useContext(s);return a.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function r(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(n):e.components||n:i(e.components),a.createElement(s.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/29d242d4.db07150a.js b/assets/js/29d242d4.db07150a.js new file mode 100644 index 000000000..e08adceb7 --- /dev/null +++ b/assets/js/29d242d4.db07150a.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6688],{44324:(e,t,o)=>{o.r(t),o.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>d,frontMatter:()=>s,metadata:()=>r,toc:()=>c});var a=o(17624),n=o(4552);const s={id:"icassp2023_find_a_team",title:"Find collaborators",sidebar_label:"Find A Team",sidebar_position:13},i=void 0,r={id:"icassp2023/taking_part/icassp2023_find_a_team",title:"Find collaborators",description:"If you'd like to team up with someone else to compete in the challenges, we can help. 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Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation, the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section)."}),"\n",(0,i.jsx)(t.h3,{id:"evaluation",children:"Evaluation"}),"\n",(0,i.jsx)(t.p,{children:"The only data that can be used by the Enhancement Processor during evaluation are"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"The audio input signals (the sum of the target and interferers for each hearing aid microphone)."}),"\n",(0,i.jsx)(t.li,{children:"The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results)."}),"\n",(0,i.jsx)(t.li,{children:"The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.)"}),"\n",(0,i.jsx)(t.li,{children:"The head-rotation signal (but if used, a version of the system that does not use it should also be prepared for comparison.)"}),"\n"]}),"\n",(0,i.jsx)(t.h2,{id:"computational-restrictions",children:"Computational restrictions"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"Teams may choose to use all, some or none of the parts of the baseline model."}),"\n",(0,i.jsx)(t.li,{children:"Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms)."}),"\n",(0,i.jsx)(t.li,{children:"There is no limit on computational cost."}),"\n"]}),"\n",(0,i.jsxs)(t.p,{children:["Please see ",(0,i.jsx)(t.a,{href:"http://claritychallenge.org/latency-computation-time-and-real-time-operation",children:"this blog post"})," for further explanation of these last two rules about latency and computation time."]}),"\n",(0,i.jsx)(t.h2,{id:"submitting-multiple-entries",children:"Submitting multiple entries"}),"\n",(0,i.jsx)(t.p,{children:"You can submit two entries, where one is optimised for HASPI and the other for listening tests if you wish. 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We will use the HASPI implementation in the baseline system."}),"\n"]}),"\n",(0,i.jsx)(t.h3,{id:"stage-2-listening-test-evaluation",children:"Stage 2: Listening test evaluation"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"There is a limit on how many systems can be evaluated by the listener panel."}),"\n",(0,i.jsx)(t.li,{children:"A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches."}),"\n",(0,i.jsxs)(t.li,{children:["We will choose which will go to the listener panel based on","\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"The top N scored using the objective metric HASPI."}),"\n",(0,i.jsx)(t.li,{children:"A sample of M others that use contrasting and promising approaches."}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(t.h2,{id:"intellectual-property",children:"Intellectual property"}),"\n",(0,i.jsx)(t.p,{children:"The following terms apply to participation in this machine learning challenge (\u201cChallenge\u201d). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a \u201cSubmission\u201d). 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Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation, the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section)."}),"\n",(0,i.jsx)(t.h3,{id:"evaluation",children:"Evaluation"}),"\n",(0,i.jsx)(t.p,{children:"The only data that can be used by the Enhancement Processor during evaluation are"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"The audio input signals (the sum of the target and interferers for each hearing aid microphone)."}),"\n",(0,i.jsx)(t.li,{children:"The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results)."}),"\n",(0,i.jsx)(t.li,{children:"The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.)"}),"\n",(0,i.jsx)(t.li,{children:"The head-rotation signal (but if used, a version of the system that does not use it should also be prepared for comparison.)"}),"\n"]}),"\n",(0,i.jsx)(t.h2,{id:"computational-restrictions",children:"Computational restrictions"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"Teams may choose to use all, some or none of the parts of the baseline model."}),"\n",(0,i.jsx)(t.li,{children:"Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms)."}),"\n",(0,i.jsx)(t.li,{children:"There is no limit on computational cost."}),"\n"]}),"\n",(0,i.jsxs)(t.p,{children:["Please see ",(0,i.jsx)(t.a,{href:"http://claritychallenge.org/latency-computation-time-and-real-time-operation",children:"this blog post"})," for further explanation of these last two rules about latency and computation time."]}),"\n",(0,i.jsx)(t.h2,{id:"submitting-multiple-entries",children:"Submitting multiple entries"}),"\n",(0,i.jsx)(t.p,{children:"You can submit two entries, where one is optimised for HASPI and the other for listening tests if you wish. 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We will use the HASPI implementation in the baseline system."}),"\n"]}),"\n",(0,i.jsx)(t.h3,{id:"stage-2-listening-test-evaluation",children:"Stage 2: Listening test evaluation"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"There is a limit on how many systems can be evaluated by the listener panel."}),"\n",(0,i.jsx)(t.li,{children:"A maximum of two entries can go through to the listener panel from any individual entrant. 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Denmark: Aalborg."}),"\n"]})]})}function u(e={}){const{wrapper:n}={...(0,r.M)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(h,{...e})}):h(e)}},4552:(e,n,t)=>{t.d(n,{I:()=>c,M:()=>a});var i=t(11504);const r={},s=i.createContext(r);function a(e){const n=i.useContext(s);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function c(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:a(e.components),i.createElement(s.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/31240f19.4e69223a.js b/assets/js/31240f19.4e69223a.js deleted file mode 100644 index 489a6f1a6..000000000 --- a/assets/js/31240f19.4e69223a.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[9656],{28309:(e,t,a)=>{a.r(t),a.d(t,{assets:()=>i,contentTitle:()=>o,default:()=>u,frontMatter:()=>s,metadata:()=>l,toc:()=>c});var n=a(85893),r=a(11151);const s={slug:"CPC2 eval data released",title:"CPC2 eval data released",author:"Jon Barker",author_title:"Clarity Team Member",author_url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",author_image_url:"https://avatars.githubusercontent.com/jonbarker68",tags:["clarity","announcement","CPC2"]},o=void 0,l={permalink:"/blog/CPC2 eval data released",source:"@site/blog/2023-07-03-CPC2-eval-data-release.mdx",title:"CPC2 eval data released",description:"The CPC2 evaluation data has now been released.",date:"2023-07-03T00:00:00.000Z",formattedDate:"July 3, 2023",tags:[{label:"clarity",permalink:"/blog/tags/clarity"},{label:"announcement",permalink:"/blog/tags/announcement"},{label:"CPC2",permalink:"/blog/tags/cpc-2"}],readingTime:.62,hasTruncateMarker:!1,authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",imageURL:"https://avatars.githubusercontent.com/jonbarker68"}],frontMatter:{slug:"CPC2 eval data released",title:"CPC2 eval data released",author:"Jon Barker",author_title:"Clarity Team Member",author_url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",author_image_url:"https://avatars.githubusercontent.com/jonbarker68",tags:["clarity","announcement","CPC2"]},unlisted:!1,nextItem:{title:"Clarity-2023 Workshop @ Interspeech, Dublin",permalink:"/blog/Clarity-2023 Workshop @ Interspeech, Dublin"}},i={authorsImageUrls:[void 0]},c=[];function h(e){const t={a:"a",p:"p",...(0,r.a)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(t.p,{children:"The CPC2 evaluation data has now been released."}),"\n",(0,n.jsxs)(t.p,{children:["The data is available for download as a single 478 MB file, ",(0,n.jsx)(t.a,{href:"https://mab.to/138typ3cpVBmK",children:"clarity_CPC2_data.test.v1_0.tgz"}),". 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54:i[o-2]=[].concat(i[o-1],i[o-1]).slice(0,2),i[o-2][0]=i[o-2][0].actor,i[o-2][1]=i[o-2][1].actor,this.$=[i[o-1],{type:"addNote",placement:r.PLACEMENT.OVER,actor:i[o-2].slice(0,2),text:i[o]}];break;case 55:this.$=[i[o-1],{type:"addLinks",actor:i[o-1].actor,text:i[o]}];break;case 56:this.$=[i[o-1],{type:"addALink",actor:i[o-1].actor,text:i[o]}];break;case 57:this.$=[i[o-1],{type:"addProperties",actor:i[o-1].actor,text:i[o]}];break;case 58:this.$=[i[o-1],{type:"addDetails",actor:i[o-1].actor,text:i[o]}];break;case 61:this.$=[i[o-2],i[o]];break;case 63:this.$=r.PLACEMENT.LEFTOF;break;case 64:this.$=r.PLACEMENT.RIGHTOF;break;case 65:this.$=[i[o-4],i[o-1],{type:"addMessage",from:i[o-4].actor,to:i[o-1].actor,signalType:i[o-3],msg:i[o],activate:!0},{type:"activeStart",signalType:r.LINETYPE.ACTIVE_START,actor:i[o-1]}];break;case 66:this.$=[i[o-4],i[o-1],{type:"addMessage",from:i[o-4].actor,to:i[o-1].actor,signalType:i[o-3],msg:i[o]},{type:"activeEnd",signalType:r.LINETYPE.ACTIVE_END,actor:i[o-4]}];break;case 67:this.$=[i[o-3],i[o-1],{type:"addMessage",from:i[o-3].actor,to:i[o-1].actor,signalType:i[o-2],msg:i[o]}];break;case 68:this.$={type:"addParticipant",actor:i[o]};break;case 69:this.$=r.LINETYPE.SOLID_OPEN;break;case 70:this.$=r.LINETYPE.DOTTED_OPEN;break;case 71:this.$=r.LINETYPE.SOLID;break;case 72:this.$=r.LINETYPE.DOTTED;break;case 73:this.$=r.LINETYPE.SOLID_CROSS;break;case 74:this.$=r.LINETYPE.DOTTED_CROSS;break;case 75:this.$=r.LINETYPE.SOLID_POINT;break;case 76:this.$=r.LINETYPE.DOTTED_POINT;break;case 77:this.$=r.parseMessage(i[o].trim().substring(1))}},table:[{3:1,4:e,5:a,6:r},{1:[3]},{3:5,4:e,5:a,6:r},{3:6,4:e,5:a,6:r},t([1,4,5,13,14,18,21,23,29,30,31,33,35,36,37,38,39,41,43,44,46,50,52,53,54,59,60,61,62,70],s,{7:7}),{1:[2,1]},{1:[2,2]},{1:[2,3],4:i,5:n,8:8,9:10,12:12,13:o,14:c,17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},t(D,[2,5]),{9:47,12:12,13:o,14:c,17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},t(D,[2,7]),t(D,[2,8]),t(D,[2,14]),{12:48,50:v,52:L,53:k},{15:[1,49]},{5:[1,50]},{5:[1,53],19:[1,51],20:[1,52]},{22:54,70:O},{22:55,70:O},{5:[1,56]},{5:[1,57]},{5:[1,58]},{5:[1,59]},{5:[1,60]},t(D,[2,29]),t(D,[2,30]),{32:[1,61]},{34:[1,62]},t(D,[2,33]),{15:[1,63]},{15:[1,64]},{15:[1,65]},{15:[1,66]},{15:[1,67]},{15:[1,68]},{15:[1,69]},{15:[1,70]},{22:71,70:O},{22:72,70:O},{22:73,70:O},{67:74,71:[1,75],72:[1,76],73:[1,77],74:[1,78],75:[1,79],76:[1,80],77:[1,81],78:[1,82]},{55:83,57:[1,84],65:[1,85],66:[1,86]},{22:87,70:O},{22:88,70:O},{22:89,70:O},{22:90,70:O},t([5,51,64,71,72,73,74,75,76,77,78,79],[2,68]),t(D,[2,6]),t(D,[2,15]),t(R,[2,9],{10:91}),t(D,[2,17]),{5:[1,93],19:[1,92]},{5:[1,94]},t(D,[2,21]),{5:[1,95]},{5:[1,96]},t(D,[2,24]),t(D,[2,25]),t(D,[2,26]),t(D,[2,27]),t(D,[2,28]),t(D,[2,31]),t(D,[2,32]),t(C,s,{7:97}),t(C,s,{7:98}),t(C,s,{7:99}),t(Y,s,{40:100,7:101}),t($,s,{42:102,7:103}),t($,s,{7:103,42:104}),t(B,s,{45:105,7:106}),t(C,s,{7:107}),{5:[1,109],51:[1,108]},{5:[1,111],51:[1,110]},{5:[1,112]},{22:115,68:[1,113],69:[1,114],70:O},t(V,[2,69]),t(V,[2,70]),t(V,[2,71]),t(V,[2,72]),t(V,[2,73]),t(V,[2,74]),t(V,[2,75]),t(V,[2,76]),{22:116,70:O},{22:118,58:117,70:O},{70:[2,63]},{70:[2,64]},{56:119,79:F},{56:121,79:F},{56:122,79:F},{56:123,79:F},{4:[1,126],5:[1,128],11:125,12:127,16:[1,124],50:v,52:L,53:k},{5:[1,129]},t(D,[2,19]),t(D,[2,20]),t(D,[2,22]),t(D,[2,23]),{4:i,5:n,8:8,9:10,12:12,13:o,14:c,16:[1,130],17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},{4:i,5:n,8:8,9:10,12:12,13:o,14:c,16:[1,131],17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},{4:i,5:n,8:8,9:10,12:12,13:o,14:c,16:[1,132],17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},{16:[1,133]},{4:i,5:n,8:8,9:10,12:12,13:o,14:c,16:[2,46],17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,49:[1,134],50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},{16:[1,135]},{4:i,5:n,8:8,9:10,12:12,13:o,14:c,16:[2,44],17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,48:[1,136],50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},{16:[1,137]},{16:[1,138]},{4:i,5:n,8:8,9:10,12:12,13:o,14:c,16:[2,42],17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,47:[1,139],50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},{4:i,5:n,8:8,9:10,12:12,13:o,14:c,16:[1,140],17:15,18:l,21:d,22:40,23:h,24:19,25:20,26:21,27:22,28:23,29:p,30:g,31:u,33:x,35:y,36:m,37:b,38:f,39:T,41:E,43:w,44:P,46:_,50:v,52:L,53:k,54:I,59:N,60:M,61:A,62:S,70:O},{15:[1,141]},t(D,[2,49]),{15:[1,142]},t(D,[2,51]),t(D,[2,52]),{22:143,70:O},{22:144,70:O},{56:145,79:F},{56:146,79:F},{56:147,79:F},{64:[1,148],79:[2,62]},{5:[2,55]},{5:[2,77]},{5:[2,56]},{5:[2,57]},{5:[2,58]},t(D,[2,16]),t(R,[2,10]),{12:149,50:v,52:L,53:k},t(R,[2,12]),t(R,[2,13]),t(D,[2,18]),t(D,[2,34]),t(D,[2,35]),t(D,[2,36]),t(D,[2,37]),{15:[1,150]},t(D,[2,38]),{15:[1,151]},t(D,[2,39]),t(D,[2,40]),{15:[1,152]},t(D,[2,41]),{5:[1,153]},{5:[1,154]},{56:155,79:F},{56:156,79:F},{5:[2,67]},{5:[2,53]},{5:[2,54]},{22:157,70:O},t(R,[2,11]),t(Y,s,{7:101,40:158}),t($,s,{7:103,42:159}),t(B,s,{7:106,45:160}),t(D,[2,48]),t(D,[2,50]),{5:[2,65]},{5:[2,66]},{79:[2,61]},{16:[2,47]},{16:[2,45]},{16:[2,43]}],defaultActions:{5:[2,1],6:[2,2],85:[2,63],86:[2,64],119:[2,55],120:[2,77],121:[2,56],122:[2,57],123:[2,58],145:[2,67],146:[2,53],147:[2,54],155:[2,65],156:[2,66],157:[2,61],158:[2,47],159:[2,45],160:[2,43]},parseError:function(t,e){if(!e.recoverable){var a=new Error(t);throw a.hash=e,a}this.trace(t)},parse:function(t){var e=this,a=[0],r=[],s=[null],i=[],n=this.table,o="",c=0,l=0,d=i.slice.call(arguments,1),h=Object.create(this.lexer),p={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(p.yy[g]=this.yy[g]);h.setInput(t,p.yy),p.yy.lexer=h,p.yy.parser=this,void 0===h.yylloc&&(h.yylloc={});var u=h.yylloc;i.push(u);var x=h.options&&h.options.ranges;"function"==typeof p.yy.parseError?this.parseError=p.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var y,m,b,f,T,E,w,P,_,v={};;){if(m=a[a.length-1],this.defaultActions[m]?b=this.defaultActions[m]:(null==y&&(_=void 0,"number"!=typeof(_=r.pop()||h.lex()||1)&&(_ instanceof Array&&(_=(r=_).pop()),_=e.symbols_[_]||_),y=_),b=n[m]&&n[m][y]),void 0===b||!b.length||!b[0]){var L="";for(T in P=[],n[m])this.terminals_[T]&&T>2&&P.push("'"+this.terminals_[T]+"'");L=h.showPosition?"Parse error on line "+(c+1)+":\n"+h.showPosition()+"\nExpecting "+P.join(", ")+", got '"+(this.terminals_[y]||y)+"'":"Parse error on line "+(c+1)+": Unexpected "+(1==y?"end of input":"'"+(this.terminals_[y]||y)+"'"),this.parseError(L,{text:h.match,token:this.terminals_[y]||y,line:h.yylineno,loc:u,expected:P})}if(b[0]instanceof Array&&b.length>1)throw new Error("Parse Error: multiple actions possible at state: "+m+", token: "+y);switch(b[0]){case 1:a.push(y),s.push(h.yytext),i.push(h.yylloc),a.push(b[1]),y=null,l=h.yyleng,o=h.yytext,c=h.yylineno,u=h.yylloc;break;case 2:if(E=this.productions_[b[1]][1],v.$=s[s.length-E],v._$={first_line:i[i.length-(E||1)].first_line,last_line:i[i.length-1].last_line,first_column:i[i.length-(E||1)].first_column,last_column:i[i.length-1].last_column},x&&(v._$.range=[i[i.length-(E||1)].range[0],i[i.length-1].range[1]]),void 0!==(f=this.performAction.apply(v,[o,l,c,p.yy,b[1],s,i].concat(d))))return f;E&&(a=a.slice(0,-1*E*2),s=s.slice(0,-1*E),i=i.slice(0,-1*E)),a.push(this.productions_[b[1]][0]),s.push(v.$),i.push(v._$),w=n[a[a.length-2]][a[a.length-1]],a.push(w);break;case 3:return!0}}return!0}},W={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,a=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),a.length-1&&(this.yylineno-=a.length-1);var s=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:a?(a.length===r.length?this.yylloc.first_column:0)+r[r.length-a.length].length-a[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[s[0],s[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var a,r,s;if(this.options.backtrack_lexer&&(s={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(s.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],a=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),a)return a;if(this._backtrack){for(var i in s)this[i]=s[i];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,a,r;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var s=this._currentRules(),i=0;i<s.length;i++)if((a=this._input.match(this.rules[s[i]]))&&(!e||a[0].length>e[0].length)){if(e=a,r=i,this.options.backtrack_lexer){if(!1!==(t=this.test_match(a,s[i])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,s[r]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,a,r){switch(a){case 0:case 51:case 64:return 5;case 1:case 2:case 3:case 4:case 5:break;case 6:return 19;case 7:return this.begin("LINE"),14;case 8:return this.begin("ID"),50;case 9:return this.begin("ID"),52;case 10:return 13;case 11:return this.begin("ID"),53;case 12:return e.yytext=e.yytext.trim(),this.begin("ALIAS"),70;case 13:return this.popState(),this.popState(),this.begin("LINE"),51;case 14:return this.popState(),this.popState(),5;case 15:return this.begin("LINE"),36;case 16:return this.begin("LINE"),37;case 17:return this.begin("LINE"),38;case 18:return this.begin("LINE"),39;case 19:return this.begin("LINE"),49;case 20:return this.begin("LINE"),41;case 21:return this.begin("LINE"),43;case 22:return this.begin("LINE"),48;case 23:return this.begin("LINE"),44;case 24:return this.begin("LINE"),47;case 25:return this.begin("LINE"),46;case 26:return this.popState(),15;case 27:return 16;case 28:return 65;case 29:return 66;case 30:return 59;case 31:return 60;case 32:return 61;case 33:return 62;case 34:return 57;case 35:return 54;case 36:return this.begin("ID"),21;case 37:return this.begin("ID"),23;case 38:return 29;case 39:return 30;case 40:return this.begin("acc_title"),31;case 41:return this.popState(),"acc_title_value";case 42:return this.begin("acc_descr"),33;case 43:return this.popState(),"acc_descr_value";case 44:this.begin("acc_descr_multiline");break;case 45:this.popState();break;case 46:return"acc_descr_multiline_value";case 47:return 6;case 48:return 18;case 49:return 20;case 50:return 64;case 52:return e.yytext=e.yytext.trim(),70;case 53:return 73;case 54:return 74;case 55:return 71;case 56:return 72;case 57:return 75;case 58:return 76;case 59:return 77;case 60:return 78;case 61:return 79;case 62:return 68;case 63:return 69;case 65:return"INVALID"}},rules:[/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:((?!\n)\s)+)/i,/^(?:#[^\n]*)/i,/^(?:%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[0-9]+(?=[ \n]+))/i,/^(?:box\b)/i,/^(?:participant\b)/i,/^(?:actor\b)/i,/^(?:create\b)/i,/^(?:destroy\b)/i,/^(?:[^\->:\n,;]+?([\-]*[^\->:\n,;]+?)*?(?=((?!\n)\s)+as(?!\n)\s|[#\n;]|$))/i,/^(?:as\b)/i,/^(?:(?:))/i,/^(?:loop\b)/i,/^(?:rect\b)/i,/^(?:opt\b)/i,/^(?:alt\b)/i,/^(?:else\b)/i,/^(?:par\b)/i,/^(?:par_over\b)/i,/^(?:and\b)/i,/^(?:critical\b)/i,/^(?:option\b)/i,/^(?:break\b)/i,/^(?:(?:[:]?(?:no)?wrap)?[^#\n;]*)/i,/^(?:end\b)/i,/^(?:left of\b)/i,/^(?:right 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z(){this.yy={}}return q.lexer=W,z.prototype=q,q.Parser=z,new z}());o.parser=o;const c=o;const l=new class{constructor(t){this.init=t,this.records=this.init()}reset(){this.records=this.init()}}((()=>({prevActor:void 0,actors:{},createdActors:{},destroyedActors:{},boxes:[],messages:[],notes:[],sequenceNumbersEnabled:!1,wrapEnabled:void 0,currentBox:void 0,lastCreated:void 0,lastDestroyed:void 0}))),d=function(t,e,a,r){let s=l.records.currentBox;const i=l.records.actors[t];if(i){if(l.records.currentBox&&i.box&&l.records.currentBox!==i.box)throw new Error("A same participant should only be defined in one Box: "+i.name+" can't be in '"+i.box.name+"' and in '"+l.records.currentBox.name+"' at the same time.");if(s=i.box?i.box:l.records.currentBox,i.box=s,i&&e===i.name&&null==a)return}null!=a&&null!=a.text||(a={text:e,wrap:null,type:r}),null!=r&&null!=a.text||(a={text:e,wrap:null,type:r}),l.records.actors[t]={box:s,name:e,description:a.text,wrap:void 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not possible to have actors with the same id, even if one is destroyed before the next is created. 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t.placement===a.db.PLACEMENT.RIGHTOF?(c.width=n?r.e.getMax(Y.width,o.width):r.e.getMax(e[t.from].width/2+e[t.to].width/2,o.width+2*Y.noteMargin),c.startx=s+(e[t.from].width+Y.actorMargin)/2):t.placement===a.db.PLACEMENT.LEFTOF?(c.width=n?r.e.getMax(Y.width,o.width+2*Y.noteMargin):r.e.getMax(e[t.from].width/2+e[t.to].width/2,o.width+2*Y.noteMargin),c.startx=s-c.width+(e[t.from].width-Y.actorMargin)/2):t.to===t.from?(o=r.u.calculateTextDimensions(n?r.u.wrapLabel(t.message,r.e.getMax(Y.width,e[t.from].width),V(Y)):t.message,V(Y)),c.width=n?r.e.getMax(Y.width,e[t.from].width):r.e.getMax(e[t.from].width,Y.width,o.width+2*Y.noteMargin),c.startx=s+(e[t.from].width-c.width)/2):(c.width=Math.abs(s+e[t.from].width/2-(i+e[t.to].width/2))+Y.actorMargin,c.startx=s<i?s+e[t.from].width/2-Y.actorMargin/2:i+e[t.to].width/2-Y.actorMargin/2),n&&(c.message=r.u.wrapLabel(t.message,c.width-2*Y.wrapPadding,V(Y))),r.l.debug(`NM:[${c.startx},${c.stopx},${c.starty},${c.stopy}:${c.width},${c.height}=${t.message}]`),c}(t,e,s),t.noteModel=c,n.forEach((t=>{o=t,o.from=r.e.getMin(o.from,c.startx),o.to=r.e.getMax(o.to,c.startx+c.width),o.width=r.e.getMax(o.width,Math.abs(o.from-o.to))-Y.labelBoxWidth}))):(l=function(t,e,a){if(![a.db.LINETYPE.SOLID_OPEN,a.db.LINETYPE.DOTTED_OPEN,a.db.LINETYPE.SOLID,a.db.LINETYPE.DOTTED,a.db.LINETYPE.SOLID_CROSS,a.db.LINETYPE.DOTTED_CROSS,a.db.LINETYPE.SOLID_POINT,a.db.LINETYPE.DOTTED_POINT].includes(t.type))return{};const[s,i]=U(t.from,e),[n,o]=U(t.to,e),c=s<=n,l=c?i:s;let 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o.from=r.e.getMin(l.startx,o.from),o.to=r.e.getMax(l.stopx,o.to),o.width=r.e.getMax(o.width,l.width)-Y.labelBoxWidth})))})),$.activations=[],r.l.debug("Loop type widths:",i),i},G={parser:c,db:w,renderer:{bounds:$,drawActors:q,drawActorsPopup:W,setConf:z,draw:function(t,e,a,n){const{securityLevel:o,sequence:c}=(0,r.c)();let l;Y=c,"sandbox"===o&&(l=(0,s.Ys)("#i"+e));const d="sandbox"===o?(0,s.Ys)(l.nodes()[0].contentDocument.body):(0,s.Ys)("body"),h="sandbox"===o?l.nodes()[0].contentDocument:document;$.init(),r.l.debug(n.db);const p="sandbox"===o?d.select(`[id="${e}"]`):(0,s.Ys)(`[id="${e}"]`),g=n.db.getActors(),u=n.db.getCreatedActors(),x=n.db.getDestroyedActors(),y=n.db.getBoxes();let m=n.db.getActorKeys();const b=n.db.getMessages(),f=n.db.getDiagramTitle(),T=n.db.hasAtLeastOneBox(),E=n.db.hasAtLeastOneBoxWithTitle(),w=function(t,e,a){const s={};return e.forEach((function(e){if(t[e.to]&&t[e.from]){const i=t[e.to];if(e.placement===a.db.PLACEMENT.LEFTOF&&!i.prevActor)return;if(e.placement===a.db.PLACEMENT.RIGHTOF&&!i.nextActor)return;const n=void 0!==e.placement,o=!n,c=n?V(Y):B(Y),l=e.wrap?r.u.wrapLabel(e.message,Y.width-2*Y.wrapPadding,c):e.message,d=r.u.calculateTextDimensions(l,c).width+2*Y.wrapPadding;o&&e.from===i.nextActor?s[e.to]=r.e.getMax(s[e.to]||0,d):o&&e.from===i.prevActor?s[e.from]=r.e.getMax(s[e.from]||0,d):o&&e.from===e.to?(s[e.from]=r.e.getMax(s[e.from]||0,d/2),s[e.to]=r.e.getMax(s[e.to]||0,d/2)):e.placement===a.db.PLACEMENT.RIGHTOF?s[e.from]=r.e.getMax(s[e.from]||0,d):e.placement===a.db.PLACEMENT.LEFTOF?s[i.prevActor]=r.e.getMax(s[i.prevActor]||0,d):e.placement===a.db.PLACEMENT.OVER&&(i.prevActor&&(s[i.prevActor]=r.e.getMax(s[i.prevActor]||0,d/2)),i.nextActor&&(s[e.from]=r.e.getMax(s[e.from]||0,d/2)))}})),r.l.debug("maxMessageWidthPerActor:",s),s}(g,b,n);if(Y.height=function(t,e,a){let s=0;Object.keys(t).forEach((e=>{const a=t[e];a.wrap&&(a.description=r.u.wrapLabel(a.description,Y.width-2*Y.wrapPadding,F(Y)));const i=r.u.calculateTextDimensions(a.description,F(Y));a.width=a.wrap?Y.width:r.e.getMax(Y.width,i.width+2*Y.wrapPadding),a.height=a.wrap?r.e.getMax(i.height,Y.height):Y.height,s=r.e.getMax(s,a.height)}));for(const n in e){const a=t[n];if(!a)continue;const s=t[a.nextActor];if(!s){const t=e[n]+Y.actorMargin-a.width/2;a.margin=r.e.getMax(t,Y.actorMargin);continue}const i=e[n]+Y.actorMargin-a.width/2-s.width/2;a.margin=r.e.getMax(i,Y.actorMargin)}let i=0;return a.forEach((e=>{const a=B(Y);let s=e.actorKeys.reduce(((e,a)=>e+(t[a].width+(t[a].margin||0))),0);s-=2*Y.boxTextMargin,e.wrap&&(e.name=r.u.wrapLabel(e.name,s-2*Y.wrapPadding,a));const n=r.u.calculateTextDimensions(e.name,a);i=r.e.getMax(n.height,i);const o=r.e.getMax(s,n.width+2*Y.wrapPadding);if(e.margin=Y.boxTextMargin,s<o){const t=(o-s)/2;e.margin+=t}})),a.forEach((t=>t.textMaxHeight=i)),r.e.getMax(s,Y.height)}(g,w,y),C.insertComputerIcon(p),C.insertDatabaseIcon(p),C.insertClockIcon(p),T&&($.bumpVerticalPos(Y.boxMargin),E&&$.bumpVerticalPos(y[0].textMaxHeight)),!0===Y.hideUnusedParticipants){const t=new Set;b.forEach((e=>{t.add(e.from),t.add(e.to)})),m=m.filter((e=>t.has(e)))}!function(t,e,a,s,i,n,o){let c,l=0,d=0,h=0;for(const p of s){const t=e[p],s=t.box;c&&c!=s&&(o||$.models.addBox(c),d+=Y.boxMargin+c.margin),s&&s!=c&&(o||(s.x=l+d,s.y=i),d+=s.margin),t.width=t.width||Y.width,t.height=r.e.getMax(t.height||Y.height,Y.height),t.margin=t.margin||Y.actorMargin,h=r.e.getMax(h,t.height),a[t.name]&&(d+=t.width/2),t.x=l+d,t.starty=$.getVerticalPos(),$.insert(t.x,i,t.x+t.width,t.height),l+=t.width+d,t.box&&(t.box.width=l+s.margin-t.box.x),d=t.margin,c=t.box,$.models.addActor(t)}c&&!o&&$.models.addBox(c),$.bumpVerticalPos(h)}(0,g,u,m,0,0,!1);const P=X(b,g,w,n);C.insertArrowHead(p),C.insertArrowCrossHead(p),C.insertArrowFilledHead(p),C.insertSequenceNumber(p);let _=1,v=1;const L=[],k=[];b.forEach((function(t,e){let a,s,o;switch(t.type){case n.db.LINETYPE.NOTE:$.resetVerticalPos(),s=t.noteModel,function(t,e){$.bumpVerticalPos(Y.boxMargin),e.height=Y.boxMargin,e.starty=$.getVerticalPos();const a=(0,i.g)();a.x=e.startx,a.y=e.starty,a.width=e.width||Y.width,a.class="note";const r=t.append("g"),s=C.drawRect(r,a),n=(0,i.e)();n.x=e.startx,n.y=e.starty,n.width=a.width,n.dy="1em",n.text=e.message,n.class="noteText",n.fontFamily=Y.noteFontFamily,n.fontSize=Y.noteFontSize,n.fontWeight=Y.noteFontWeight,n.anchor=Y.noteAlign,n.textMargin=Y.noteMargin,n.valign="center";const o=I(r,n),c=Math.round(o.map((t=>(t._groups||t)[0][0].getBBox().height)).reduce(((t,e)=>t+e)));s.attr("height",c+2*Y.noteMargin),e.height+=c+2*Y.noteMargin,$.bumpVerticalPos(c+2*Y.noteMargin),e.stopy=e.starty+c+2*Y.noteMargin,e.stopx=e.startx+a.width,$.insert(e.startx,e.starty,e.stopx,e.stopy),$.models.addNote(e)}(p,s);break;case n.db.LINETYPE.ACTIVE_START:$.newActivation(t,p,g);break;case n.db.LINETYPE.ACTIVE_END:!function(t,e){const a=$.endActivation(t);a.starty+18>e&&(a.starty=e-6,e+=12),C.drawActivation(p,a,e,Y,H(t.from.actor).length),$.insert(a.startx,e-10,a.stopx,e)}(t,$.getVerticalPos());break;case n.db.LINETYPE.LOOP_START:j(P,t,Y.boxMargin,Y.boxMargin+Y.boxTextMargin,(t=>$.newLoop(t)));break;case n.db.LINETYPE.LOOP_END:a=$.endLoop(),C.drawLoop(p,a,"loop",Y),$.bumpVerticalPos(a.stopy-$.getVerticalPos()),$.models.addLoop(a);break;case n.db.LINETYPE.RECT_START:j(P,t,Y.boxMargin,Y.boxMargin,(t=>$.newLoop(void 0,t.message)));break;case 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e.attrs)a.attr(r,e.attrs[r]);return void 0!==e.class&&a.attr("class",e.class),a},n=(t,e)=>{const a={x:e.startx,y:e.starty,width:e.stopx-e.startx,height:e.stopy-e.starty,fill:e.fill,stroke:e.stroke,class:"rect"};i(t,a).lower()},o=(t,e)=>{const a=e.text.replace(s.H," "),r=t.append("text");r.attr("x",e.x),r.attr("y",e.y),r.attr("class","legend"),r.style("text-anchor",e.anchor),void 0!==e.class&&r.attr("class",e.class);const i=r.append("tspan");return i.attr("x",e.x+2*e.textMargin),i.text(a),r},c=(t,e,a,s)=>{const i=t.append("image");i.attr("x",e),i.attr("y",a);const n=(0,r.Nm)(s);i.attr("xlink:href",n)},l=(t,e,a,s)=>{const i=t.append("use");i.attr("x",e),i.attr("y",a);const n=(0,r.Nm)(s);i.attr("xlink:href",`#${n}`)},d=()=>({x:0,y:0,width:100,height:100,fill:"#EDF2AE",stroke:"#666",anchor:"start",rx:0,ry:0}),h=()=>({x:0,y:0,width:100,height:100,"text-anchor":"start",style:"#666",textMargin:0,rx:0,ry:0,tspan:!0})}}]); \ No newline at end of file diff --git a/assets/js/319bb6fa.6ee3de8d.js b/assets/js/319bb6fa.4cd48bd9.js similarity index 85% rename from assets/js/319bb6fa.6ee3de8d.js rename to assets/js/319bb6fa.4cd48bd9.js index 4f0f0c9aa..21789c862 100644 --- a/assets/js/319bb6fa.6ee3de8d.js +++ b/assets/js/319bb6fa.4cd48bd9.js @@ -1 +1 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[7011],{16368:e=>{e.exports=JSON.parse('{"title":"Software overview","slug":"/category/software-3","permalink":"/docs/category/software-3","navigation":{"previous":{"title":"New evaluation set","permalink":"/docs/icassp2023/data/icassp2023_new_evaluation"},"next":{"title":"Baseline System","permalink":"/docs/icassp2023/software/icassp2023_baseline"}}}')}}]); \ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[4072],{71686:e=>{e.exports=JSON.parse('{"title":"Software overview","slug":"/category/software-3","permalink":"/docs/category/software-3","navigation":{"previous":{"title":"New evaluation 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./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); ;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js /** * @typedef {import('mdast').Root|import('mdast').Content} Node @@ -12637,14 +12637,14 @@ function defaultOnError(left, right) { } // EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js -var esm = __webpack_require__(18464); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-a48a4c90.js +var esm = __webpack_require__(71408); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-423428c9.js function preprocessMarkdown(markdown) { const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); - const withoutExtraSpaces = (0,esm/* dedent */.Z)(withoutMultipleNewlines); + const withoutExtraSpaces = (0,esm/* dedent */.s)(withoutMultipleNewlines); return withoutExtraSpaces; } function markdownToLines(markdown) { @@ -12866,12 +12866,12 @@ const createText = (el, text = "", { width = 200, addSvgBackground = false } = {}) => { - mermaid_04fb0060.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); + mermaid_0603ccf8.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); if (useHtmlLabels) { const htmlText = markdownToHTML(text); const node = { isNode, - label: (0,mermaid_04fb0060.J)(htmlText).replace( + label: (0,mermaid_0603ccf8.J)(htmlText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `<i class='${s.replace(":", " ")}'></i>` ), @@ -12890,18 +12890,18 @@ const createText = (el, text = "", { /***/ }), -/***/ 52788: +/***/ 82652: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(24743); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(76562); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(22424); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(79010); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(73748); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(57776); @@ -13596,7 +13596,7 @@ class TextDimensionCalculatorWithFont { }; const elem = this.parentGroup.append("g").attr("visibility", "hidden").attr("font-size", fontSize); for (const t of texts) { - const bbox = (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_4__.c)(elem, 1, t); + const bbox = (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_4__.c)(elem, 1, t); const width = bbox ? bbox.width : t.length * fontSize; const height = bbox ? bbox.height : fontSize; dimension.width = Math.max(dimension.width, width); @@ -13961,14 +13961,14 @@ class BandAxis extends BaseAxis { constructor(axisConfig, axisThemeConfig, categories, title, textDimensionCalculator) { super(axisConfig, title, textDimensionCalculator, axisThemeConfig); this.categories = categories; - this.scale = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleBand */ .tiA)().domain(this.categories).range(this.getRange()); + this.scale = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleBand */ .iEe)().domain(this.categories).range(this.getRange()); } setRange(range) { super.setRange(range); } recalculateScale() { - this.scale = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleBand */ .tiA)().domain(this.categories).range(this.getRange()).paddingInner(1).paddingOuter(0).align(0.5); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.trace("BandAxis axis final categories, range: ", this.categories, this.getRange()); + this.scale = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleBand */ .iEe)().domain(this.categories).range(this.getRange()).paddingInner(1).paddingOuter(0).align(0.5); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.trace("BandAxis axis final categories, range: ", this.categories, this.getRange()); } getTickValues() { return this.categories; @@ -13981,7 +13981,7 @@ class LinearAxis extends BaseAxis { constructor(axisConfig, axisThemeConfig, domain, title, textDimensionCalculator) { super(axisConfig, title, textDimensionCalculator, axisThemeConfig); this.domain = domain; - this.scale = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleLinear */ .BYU)().domain(this.domain).range(this.getRange()); + this.scale = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleLinear */ .M89)().domain(this.domain).range(this.getRange()); } getTickValues() { return this.scale.ticks(); @@ -13991,7 +13991,7 @@ class LinearAxis extends BaseAxis { if (this.axisPosition === "left") { domain.reverse(); } - this.scale = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleLinear */ .BYU)().domain(domain).range(this.getRange()); + this.scale = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleLinear */ .M89)().domain(domain).range(this.getRange()); } getScaleValue(value) { return this.scale(value); @@ -14093,9 +14093,9 @@ class LinePlot { ]); let path; if (this.orientation === "horizontal") { - path = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().y((d) => d[0]).x((d) => d[1])(finalData); + path = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().y((d) => d[0]).x((d) => d[1])(finalData); } else { - path = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x((d) => d[0]).y((d) => d[1])(finalData); + path = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x((d) => d[0]).y((d) => d[1])(finalData); } if (!path) { return []; @@ -14409,14 +14409,14 @@ let plotColorPalette = xyChartThemeConfig.plotColorPalette.split(",").map((color let hasSetXAxis = false; let hasSetYAxis = false; function getChartDefaultThemeConfig() { - const defaultThemeVariables = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.D)(); - const config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.E)(); - return (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.B)(defaultThemeVariables.xyChart, config.themeVariables.xyChart); + const defaultThemeVariables = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.D)(); + const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.E)(); + return (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.B)(defaultThemeVariables.xyChart, config.themeVariables.xyChart); } function getChartDefaultConfig() { - const config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.E)(); - return (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.B)( - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.A.xyChart, + const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.E)(); + return (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.B)( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.A.xyChart, config.xyChart ); } @@ -14438,8 +14438,8 @@ function getChartDefaultData() { }; } function textSanitizer(text) { - const config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.E)(); - return (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.d)(text.trim(), config); + const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.E)(); + return (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.d)(text.trim(), config); } function setTmpSVGG(SVGG) { tmpSVGGroup = SVGG; @@ -14539,7 +14539,7 @@ function getDrawableElem() { if (xyChartData.plots.length === 0) { throw Error("No Plot to render, please provide a plot with some data"); } - xyChartData.title = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.r)(); + xyChartData.title = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.r)(); return XYChartBuilder.build(xyChartConfig, xyChartData, xyChartThemeConfig, tmpSVGGroup); } function getChartThemeConfig() { @@ -14549,7 +14549,7 @@ function getChartConfig() { return xyChartConfig; } const clear = function() { - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.t)(); plotIndex = 0; xyChartConfig = getChartDefaultConfig(); xyChartData = getChartDefaultData(); @@ -14561,12 +14561,12 @@ const clear = function() { const db = { getDrawableElem, clear, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.g, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.r, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.b, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.g, + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.r, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.b, setOrientation, setXAxisTitle, setXAxisRangeData, @@ -14592,11 +14592,11 @@ const draw = (txt, id, _version, diagObj) => { function getTextTransformation(data) { return `translate(${data.x}, ${data.y}) rotate(${data.rotation || 0})`; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.l.debug("Rendering xychart chart\n" + txt); - const svg = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.z)(id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.l.debug("Rendering xychart chart\n" + txt); + const svg = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.z)(id); const group = svg.append("g").attr("class", "main"); const background = group.append("rect").attr("width", chartConfig.width).attr("height", chartConfig.height).attr("class", "background"); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_5__.i)(svg, chartConfig.height, chartConfig.width, true); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_5__.i)(svg, chartConfig.height, chartConfig.width, true); svg.attr("viewBox", `0 0 ${chartConfig.width} ${chartConfig.height}`); background.attr("fill", themeConfig.backgroundColor); 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o,r;for(o=0,r=i.length;o<r;++o)n.push(i[o].index);return n}function jn(t,e,n,i={}){const o=t.keys,r="single"===i.mode;let s,a,l,c;if(null!==e){for(s=0,a=o.length;s<a;++s){if(l=+o[s],l===n){if(i.all)continue;break}c=t.values[l],W(c)&&(r||0===e||gt(e)===gt(c))&&(e+=c)}return e}}function Fn(t,e){const n=t&&t.options.stacked;return n||void 0===n&&void 0!==e.stack}function Ln(t,e,n){const i=t[e]||(t[e]={});return i[n]||(i[n]={})}function Nn(t,e,n,i){for(const o of e.getMatchingVisibleMetas(i).reverse()){const e=t[o.index];if(n&&e>0||!n&&e<0)return o.index}return null}function zn(t,e){const{chart:n,_cachedMeta:i}=t,o=n._stacks||(n._stacks={}),{iScale:r,vScale:s,index:a}=i,l=r.axis,c=s.axis,u=function(t,e,n){return`${t.id}.${e.id}.${n.stack||n.type}`}(r,s,i),h=e.length;let d;for(let f=0;f<h;++f){const t=e[f],{[l]:n,[c]:r}=t;d=(t._stacks||(t._stacks={}))[c]=Ln(o,u,n),d[a]=r,d._top=Nn(d,s,!0,i.type),d._bottom=Nn(d,s,!1,i.type);(d._visualValues||(d._visualValues={}))[a]=r}}function Bn(t,e){const n=t.scales;return Object.keys(n).filter((t=>n[t].axis===e)).shift()}function Wn(t,e){const n=t.controller.index,i=t.vScale&&t.vScale.axis;if(i){e=e||t._parsed;for(const t of e){const e=t._stacks;if(!e||void 0===e[i]||void 0===e[i][n])return;delete e[i][n],void 0!==e[i]._visualValues&&void 0!==e[i]._visualValues[n]&&delete e[i]._visualValues[n]}}}const Vn=t=>"reset"===t||"none"===t,Hn=(t,e)=>e?t:Object.assign({},t);class Un{static defaults={};static datasetElementType=null;static dataElementType=null;constructor(t,e){this.chart=t,this._ctx=t.ctx,this.index=e,this._cachedDataOpts={},this._cachedMeta=this.getMeta(),this._type=this._cachedMeta.type,this.options=void 0,this._parsing=!1,this._data=void 0,this._objectData=void 0,this._sharedOptions=void 0,this._drawStart=void 0,this._drawCount=void 0,this.enableOptionSharing=!1,this.supportsDecimation=!1,this.$context=void 0,this._syncList=[],this.datasetElementType=new.target.datasetElementType,this.dataElementType=new.target.dataElementType,this.initialize()}initialize(){const t=this._cachedMeta;this.configure(),this.linkScales(),t._stacked=Fn(t.vScale,t),this.addElements(),this.options.fill&&!this.chart.isPluginEnabled("filler")&&console.warn("Tried to use the 'fill' option without the 'Filler' plugin enabled. 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t=this.getDataset(),e=t.data||(t.data=[]),n=this._data;if(B(e))this._data=function(t){const e=Object.keys(t),n=new Array(e.length);let i,o,r;for(i=0,o=e.length;i<o;++i)r=e[i],n[i]={x:r,y:t[r]};return n}(e);else if(n!==e){if(n){At(n,this);const t=this._cachedMeta;Wn(t),t._parsed=[]}e&&Object.isExtensible(e)&&(o=this,(i=e)._chartjs?i._chartjs.listeners.push(o):(Object.defineProperty(i,"_chartjs",{configurable:!0,enumerable:!1,value:{listeners:[o]}}),It.forEach((t=>{const e="_onData"+nt(t),n=i[t];Object.defineProperty(i,t,{configurable:!0,enumerable:!1,value(...t){const o=n.apply(this,t);return i._chartjs.listeners.forEach((n=>{"function"==typeof n[e]&&n[e](...t)})),o}})})))),this._syncList=[],this._data=e}var i,o}addElements(){const t=this._cachedMeta;this._dataCheck(),this.datasetElementType&&(t.dataset=new this.datasetElementType)}buildOrUpdateElements(t){const e=this._cachedMeta,n=this.getDataset();let i=!1;this._dataCheck();const 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h,d,f;for(h=0,d=i;h<d;++h)f=h+n,u[h]={[s]:c||o.parse(l[f],f),[a]:r.parse(e[f],f)};return u}parseArrayData(t,e,n,i){const{xScale:o,yScale:r}=t,s=new Array(i);let a,l,c,u;for(a=0,l=i;a<l;++a)c=a+n,u=e[c],s[a]={x:o.parse(u[0],c),y:r.parse(u[1],c)};return s}parseObjectData(t,e,n,i){const{xScale:o,yScale:r}=t,{xAxisKey:s="x",yAxisKey:a="y"}=this._parsing,l=new Array(i);let c,u,h,d;for(c=0,u=i;c<u;++c)h=c+n,d=e[h],l[c]={x:o.parse(et(d,s),h),y:r.parse(et(d,a),h)};return l}getParsed(t){return this._cachedMeta._parsed[t]}getDataElement(t){return this._cachedMeta.data[t]}applyStack(t,e,n){const i=this.chart,o=this._cachedMeta,r=e[t.axis];return jn({keys:An(i,!0),values:e._stacks[t.axis]._visualValues},r,o.index,{mode:n})}updateRangeFromParsed(t,e,n,i){const o=n[e.axis];let r=null===o?NaN:o;const s=i&&n._stacks[e.axis];i&&s&&(i.values=s,r=jn(i,o,this._cachedMeta.index)),t.min=Math.min(t.min,r),t.max=Math.max(t.max,r)}getMinMax(t,e){const n=this._cachedMeta,i=n._parsed,o=n._sorted&&t===n.iScale,r=i.length,s=this._getOtherScale(t),a=((t,e,n)=>t&&!e.hidden&&e._stacked&&{keys:An(n,!0),values:null})(e,n,this.chart),l={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY},{min:c,max:u}=function(t){const{min:e,max:n,minDefined:i,maxDefined:o}=t.getUserBounds();return{min:i?e:Number.NEGATIVE_INFINITY,max:o?n:Number.POSITIVE_INFINITY}}(s);let h,d;function f(){d=i[h];const e=d[s.axis];return!W(d[t.axis])||c>e||u<e}for(h=0;h<r&&(f()||(this.updateRangeFromParsed(l,t,d,a),!o));++h);if(o)for(h=r-1;h>=0;--h)if(!f()){this.updateRangeFromParsed(l,t,d,a);break}return l}getAllParsedValues(t){const e=this._cachedMeta._parsed,n=[];let i,o,r;for(i=0,o=e.length;i<o;++i)r=e[i][t.axis],W(r)&&n.push(r);return n}getMaxOverflow(){return!1}getLabelAndValue(t){const e=this._cachedMeta,n=e.iScale,i=e.vScale,o=this.getParsed(t);return{label:n?""+n.getLabelForValue(o[n.axis]):"",value:i?""+i.getLabelForValue(o[i.axis]):""}}_update(t){const e=this._cachedMeta;this.update(t||"default"),e._clip=function(t){let e,n,i,o;return B(t)?(e=t.top,n=t.right,i=t.bottom,o=t.left):e=n=i=o=t,{top:e,right:n,bottom:i,left:o,disabled:!1===t}}(H(this.options.clip,function(t,e,n){if(!1===n)return!1;const i=In(t,n),o=In(e,n);return{top:o.end,right:i.end,bottom:o.start,left:i.start}}(e.xScale,e.yScale,this.getMaxOverflow())))}update(t){}draw(){const t=this._ctx,e=this.chart,n=this._cachedMeta,i=n.data||[],o=e.chartArea,r=[],s=this._drawStart||0,a=this._drawCount||i.length-s,l=this.options.drawActiveElementsOnTop;let c;for(n.dataset&&n.dataset.draw(t,o,s,a),c=s;c<s+a;++c){const e=i[c];e.hidden||(e.active&&l?r.push(e):e.draw(t,o))}for(c=0;c<r.length;++c)r[c].draw(t,o)}getStyle(t,e){const n=e?"active":"default";return void 0===t&&this._cachedMeta.dataset?this.resolveDatasetElementOptions(n):this.resolveDataElementOptions(t||0,n)}getContext(t,e,n){const i=this.getDataset();let o;if(t>=0&&t<this._cachedMeta.data.length){const e=this._cachedMeta.data[t];o=e.$context||(e.$context=function(t,e,n){return De(t,{active:!1,dataIndex:e,parsed:void 0,raw:void 0,element:n,index:e,mode:"default",type:"data"})}(this.getContext(),t,e)),o.parsed=this.getParsed(t),o.raw=i.data[t],o.index=o.dataIndex=t}else o=this.$context||(this.$context=function(t,e){return De(t,{active:!1,dataset:void 0,datasetIndex:e,index:e,mode:"default",type:"dataset"})}(this.chart.getContext(),this.index)),o.dataset=i,o.index=o.datasetIndex=this.index;return o.active=!!e,o.mode=n,o}resolveDatasetElementOptions(t){return this._resolveElementOptions(this.datasetElementType.id,t)}resolveDataElementOptions(t,e){return this._resolveElementOptions(this.dataElementType.id,e,t)}_resolveElementOptions(t,e="default",n){const i="active"===e,o=this._cachedDataOpts,r=t+"-"+e,s=o[r],a=this.enableOptionSharing&&it(n);if(s)return Hn(s,a);const 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n=this.resolveDataElementOptions(t,e),i=this._sharedOptions,o=this.getSharedOptions(n),r=this.includeOptions(e,o)||o!==i;return this.updateSharedOptions(o,e,n),{sharedOptions:o,includeOptions:r}}updateElement(t,e,n,i){Vn(i)?Object.assign(t,n):this._resolveAnimations(e,i).update(t,n)}updateSharedOptions(t,e,n){t&&!Vn(e)&&this._resolveAnimations(void 0,e).update(t,n)}_setStyle(t,e,n,i){t.active=i;const o=this.getStyle(e,i);this._resolveAnimations(e,n,i).update(t,{options:!i&&this.getSharedOptions(o)||o})}removeHoverStyle(t,e,n){this._setStyle(t,n,"active",!1)}setHoverStyle(t,e,n){this._setStyle(t,n,"active",!0)}_removeDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!1)}_setDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!0)}_resyncElements(t){const e=this._data,n=this._cachedMeta.data;for(const[s,a,l]of this._syncList)this[s](a,l);this._syncList=[];const i=n.length,o=e.length,r=Math.min(o,i);r&&this.parse(0,r),o>i?this._insertElements(i,o-i,t):o<i&&this._removeElements(o,i-o)}_insertElements(t,e,n=!0){const i=this._cachedMeta,o=i.data,r=t+e;let s;const a=t=>{for(t.length+=e,s=t.length-1;s>=r;s--)t[s]=t[s-e]};for(a(o),s=t;s<r;++s)o[s]=new this.dataElementType;this._parsing&&a(i._parsed),this.parse(t,e),n&&this.updateElements(o,t,e,"reset")}updateElements(t,e,n,i){}_removeElements(t,e){const n=this._cachedMeta;if(this._parsing){const i=n._parsed.splice(t,e);n._stacked&&Wn(n,i)}n.data.splice(t,e)}_sync(t){if(this._parsing)this._syncList.push(t);else{const[e,n,i]=t;this[e](n,i)}this.chart._dataChanges.push([this.index,...t])}_onDataPush(){const t=arguments.length;this._sync(["_insertElements",this.getDataset().data.length-t,t])}_onDataPop(){this._sync(["_removeElements",this._cachedMeta.data.length-1,1])}_onDataShift(){this._sync(["_removeElements",0,1])}_onDataSplice(t,e){e&&this._sync(["_removeElements",t,e]);const n=arguments.length-2;n&&this._sync(["_insertElements",t,n])}_onDataUnshift(){this._sync(["_insertElements",0,arguments.length])}}function $n(t){const e=t.iScale,n=function(t,e){if(!t._cache.$bar){const n=t.getMatchingVisibleMetas(e);let i=[];for(let e=0,o=n.length;e<o;e++)i=i.concat(n[e].controller.getAllParsedValues(t));t._cache.$bar=jt(i.sort(((t,e)=>t-e)))}return t._cache.$bar}(e,t.type);let i,o,r,s,a=e._length;const l=()=>{32767!==r&&-32768!==r&&(it(s)&&(a=Math.min(a,Math.abs(r-s)||a)),s=r)};for(i=0,o=n.length;i<o;++i)r=e.getPixelForValue(n[i]),l();for(s=void 0,i=0,o=e.ticks.length;i<o;++i)r=e.getPixelForTick(i),l();return a}function qn(t,e,n,i){return z(t)?function(t,e,n,i){const o=n.parse(t[0],i),r=n.parse(t[1],i),s=Math.min(o,r),a=Math.max(o,r);let l=s,c=a;Math.abs(s)>Math.abs(a)&&(l=a,c=s),e[n.axis]=c,e._custom={barStart:l,barEnd:c,start:o,end:r,min:s,max:a}}(t,e,n,i):e[n.axis]=n.parse(t,i),e}function Yn(t,e,n,i){const o=t.iScale,r=t.vScale,s=o.getLabels(),a=o===r,l=[];let 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defaults={datasetElementType:!1,dataElementType:"bar",categoryPercentage:.8,barPercentage:.9,grouped:!0,animations:{numbers:{type:"number",properties:["x","y","base","width","height"]}}};static overrides={scales:{_index_:{type:"category",offset:!0,grid:{offset:!0}},_value_:{type:"linear",beginAtZero:!0}}};parsePrimitiveData(t,e,n,i){return Yn(t,e,n,i)}parseArrayData(t,e,n,i){return Yn(t,e,n,i)}parseObjectData(t,e,n,i){const{iScale:o,vScale:r}=t,{xAxisKey:s="x",yAxisKey:a="y"}=this._parsing,l="x"===o.axis?s:a,c="x"===r.axis?s:a,u=[];let h,d,f,p;for(h=n,d=n+i;h<d;++h)p=e[h],f={},f[o.axis]=o.parse(et(p,l),h),u.push(qn(et(p,c),f,r,h));return u}updateRangeFromParsed(t,e,n,i){super.updateRangeFromParsed(t,e,n,i);const o=n._custom;o&&e===this._cachedMeta.vScale&&(t.min=Math.min(t.min,o.min),t.max=Math.max(t.max,o.max))}getMaxOverflow(){return 0}getLabelAndValue(t){const e=this._cachedMeta,{iScale:n,vScale:i}=e,o=this.getParsed(t),r=o._custom,s=Kn(r)?"["+r.start+", "+r.end+"]":""+i.getLabelForValue(o[i.axis]);return{label:""+n.getLabelForValue(o[n.axis]),value:s}}initialize(){this.enableOptionSharing=!0,super.initialize();this._cachedMeta.stack=this.getDataset().stack}update(t){const e=this._cachedMeta;this.updateElements(e.data,0,e.data.length,t)}updateElements(t,e,n,i){const o="reset"===i,{index:r,_cachedMeta:{vScale:s}}=this,a=s.getBasePixel(),l=s.isHorizontal(),c=this._getRuler(),{sharedOptions:u,includeOptions:h}=this._getSharedOptions(e,i);for(let d=e;d<e+n;d++){const e=this.getParsed(d),n=o||N(e[s.axis])?{base:a,head:a}:this._calculateBarValuePixels(d),f=this._calculateBarIndexPixels(d,c),p=(e._stacks||{})[s.axis],g={horizontal:l,base:n.base,enableBorderRadius:!p||Kn(e._custom)||r===p._top||r===p._bottom,x:l?n.head:f.center,y:l?f.center:n.head,height:l?f.size:Math.abs(n.size),width:l?Math.abs(n.size):f.size};h&&(g.options=u||this.resolveDataElementOptions(d,t[d].active?"active":i));const m=g.options||t[d].options;Xn(g,m,p,r),Jn(g,m,c.ratio),this.updateElement(t[d],d,g,i)}}_getStacks(t,e){const{iScale:n}=this._cachedMeta,i=n.getMatchingVisibleMetas(this._type).filter((t=>t.controller.options.grouped)),o=n.options.stacked,r=[],s=t=>{const n=t.controller.getParsed(e),i=n&&n[t.vScale.axis];if(N(i)||isNaN(i))return!0};for(const a of i)if((void 0===e||!s(a))&&((!1===o||-1===r.indexOf(a.stack)||void 0===o&&void 0===a.stack)&&r.push(a.stack),a.index===t))break;return r.length||r.push(void 0),r}_getStackCount(t){return this._getStacks(void 0,t).length}_getStackIndex(t,e,n){const i=this._getStacks(t,n),o=void 0!==e?i.indexOf(e):-1;return-1===o?i.length-1:o}_getRuler(){const t=this.options,e=this._cachedMeta,n=e.iScale,i=[];let o,r;for(o=0,r=e.data.length;o<r;++o)i.push(n.getPixelForValue(this.getParsed(o)[n.axis],o));const s=t.barThickness;return{min:s||$n(e),pixels:i,start:n._startPixel,end:n._endPixel,stackCount:this._getStackCount(),scale:n,grouped:t.grouped,ratio:s?1:t.categoryPercentage*t.barPercentage}}_calculateBarValuePixels(t){const{_cachedMeta:{vScale:e,_stacked:n,index:i},options:{base:o,minBarLength:r}}=this,s=o||0,a=this.getParsed(t),l=a._custom,c=Kn(l);let u,h,d=a[e.axis],f=0,p=n?this.applyStack(e,a,n):d;p!==d&&(f=p-d,p=d),c&&(d=l.barStart,p=l.barEnd-l.barStart,0!==d&>(d)!==gt(l.barEnd)&&(f=0),f+=d);const g=N(o)||c?f:o;let m=e.getPixelForValue(g);if(u=this.chart.getDataVisibility(t)?e.getPixelForValue(f+p):m,h=u-m,Math.abs(h)<r){h=function(t,e,n){return 0!==t?gt(t):(e.isHorizontal()?1:-1)*(e.min>=n?1:-1)}(h,e,s)*r,d===s&&(m-=h/2);const t=e.getPixelForDecimal(0),o=e.getPixelForDecimal(1),l=Math.min(t,o),f=Math.max(t,o);m=Math.max(Math.min(m,f),l),u=m+h,n&&!c&&(a._stacks[e.axis]._visualValues[i]=e.getValueForPixel(u)-e.getValueForPixel(m))}if(m===e.getPixelForValue(s)){const t=gt(h)*e.getLineWidthForValue(s)/2;m+=t,h-=t}return{size:h,base:m,head:u,center:u+h/2}}_calculateBarIndexPixels(t,e){const n=e.scale,i=this.options,o=i.skipNull,r=H(i.maxBarThickness,1/0);let s,a;if(e.grouped){const n=o?this._getStackCount(t):e.stackCount,l="flex"===i.barThickness?function(t,e,n,i){const o=e.pixels,r=o[t];let s=t>0?o[t-1]:null,a=t<o.length-1?o[t+1]:null;const l=n.categoryPercentage;null===s&&(s=r-(null===a?e.end-e.start:a-r)),null===a&&(a=r+r-s);const c=r-(r-Math.min(s,a))/2*l;return{chunk:Math.abs(a-s)/2*l/i,ratio:n.barPercentage,start:c}}(t,e,i,n):function(t,e,n,i){const o=n.barThickness;let r,s;return N(o)?(r=e.min*n.categoryPercentage,s=n.barPercentage):(r=o*i,s=1),{chunk:r/i,ratio:s,start:e.pixels[t]-r/2}}(t,e,i,n),c=this._getStackIndex(this.index,this._cachedMeta.stack,o?t:void 0);s=l.start+l.chunk*c+l.chunk/2,a=Math.min(r,l.chunk*l.ratio)}else s=n.getPixelForValue(this.getParsed(t)[n.axis],t),a=Math.min(r,e.min*e.ratio);return{base:s-a/2,head:s+a/2,center:s,size:a}}draw(){const t=this._cachedMeta,e=t.vScale,n=t.data,i=n.length;let o=0;for(;o<i;++o)null!==this.getParsed(o)[e.axis]&&n[o].draw(this._ctx)}}class ti extends Un{static id="doughnut";static defaults={datasetElementType:!1,dataElementType:"arc",animation:{animateRotate:!0,animateScale:!1},animations:{numbers:{type:"number",properties:["circumference","endAngle","innerRadius","outerRadius","startAngle","x","y","offset","borderWidth","spacing"]}},cutout:"50%",rotation:0,circumference:360,radius:"100%",spacing:0,indexAxis:"r"};static descriptors={_scriptable:t=>"spacing"!==t,_indexable:t=>"spacing"!==t&&!t.startsWith("borderDash")&&!t.startsWith("hoverBorderDash")};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:n,color:i}}=t.legend.options;return e.labels.map(((e,o)=>{const r=t.getDatasetMeta(0).controller.getStyle(o);return{text:e,fillStyle:r.backgroundColor,strokeStyle:r.borderColor,fontColor:i,lineWidth:r.borderWidth,pointStyle:n,hidden:!t.getDataVisibility(o),index:o}}))}return[]}},onClick(t,e,n){n.chart.toggleDataVisibility(e.index),n.chart.update()}}}};constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){const n=this.getDataset().data,i=this._cachedMeta;if(!1===this._parsing)i._parsed=n;else{let o,r,s=t=>+n[t];if(B(n[t])){const{key:t="value"}=this._parsing;s=e=>+et(n[e],t)}for(o=t,r=t+e;o<r;++o)i._parsed[o]=s(o)}}_getRotation(){return vt(this.options.rotation-90)}_getCircumference(){return vt(this.options.circumference)}_getRotationExtents(){let t=at,e=-at;for(let n=0;n<this.chart.data.datasets.length;++n)if(this.chart.isDatasetVisible(n)&&this.chart.getDatasetMeta(n).type===this._type){const i=this.chart.getDatasetMeta(n).controller,o=i._getRotation(),r=i._getCircumference();t=Math.min(t,o),e=Math.max(e,o+r)}return{rotation:t,circumference:e-t}}update(t){const e=this.chart,{chartArea:n}=e,i=this._cachedMeta,o=i.data,r=this.getMaxBorderWidth()+this.getMaxOffset(o)+this.options.spacing,s=Math.max((Math.min(n.width,n.height)-r)/2,0),a=Math.min((l=this.options.cutout,c=s,"string"==typeof l&&l.endsWith("%")?parseFloat(l)/100:+l/c),1);var l,c;const u=this._getRingWeight(this.index),{circumference:h,rotation:d}=this._getRotationExtents(),{ratioX:f,ratioY:p,offsetX:g,offsetY:m}=function(t,e,n){let i=1,o=1,r=0,s=0;if(e<at){const a=t,l=a+e,c=Math.cos(a),u=Math.sin(a),h=Math.cos(l),d=Math.sin(l),f=(t,e,i)=>kt(t,a,l,!0)?1:Math.max(e,e*n,i,i*n),p=(t,e,i)=>kt(t,a,l,!0)?-1:Math.min(e,e*n,i,i*n),g=f(0,c,h),m=f(ht,u,d),b=p(st,c,h),y=p(st+ht,u,d);i=(g-b)/2,o=(m-y)/2,r=-(g+b)/2,s=-(m+y)/2}return{ratioX:i,ratioY:o,offsetX:r,offsetY:s}}(d,h,a),b=(n.width-r)/f,y=(n.height-r)/p,x=Math.max(Math.min(b,y)/2,0),v=U(this.options.radius,x),_=(v-Math.max(v*a,0))/this._getVisibleDatasetWeightTotal();this.offsetX=g*v,this.offsetY=m*v,i.total=this.calculateTotal(),this.outerRadius=v-_*this._getRingWeightOffset(this.index),this.innerRadius=Math.max(this.outerRadius-_*u,0),this.updateElements(o,0,o.length,t)}_circumference(t,e){const n=this.options,i=this._cachedMeta,o=this._getCircumference();return e&&n.animation.animateRotate||!this.chart.getDataVisibility(t)||null===i._parsed[t]||i.data[t].hidden?0:this.calculateCircumference(i._parsed[t]*o/at)}updateElements(t,e,n,i){const o="reset"===i,r=this.chart,s=r.chartArea,a=r.options.animation,l=(s.left+s.right)/2,c=(s.top+s.bottom)/2,u=o&&a.animateScale,h=u?0:this.innerRadius,d=u?0:this.outerRadius,{sharedOptions:f,includeOptions:p}=this._getSharedOptions(e,i);let g,m=this._getRotation();for(g=0;g<e;++g)m+=this._circumference(g,o);for(g=e;g<e+n;++g){const e=this._circumference(g,o),n=t[g],r={x:l+this.offsetX,y:c+this.offsetY,startAngle:m,endAngle:m+e,circumference:e,outerRadius:d,innerRadius:h};p&&(r.options=f||this.resolveDataElementOptions(g,n.active?"active":i)),m+=e,this.updateElement(n,g,r,i)}}calculateTotal(){const t=this._cachedMeta,e=t.data;let n,i=0;for(n=0;n<e.length;n++){const o=t._parsed[n];null===o||isNaN(o)||!this.chart.getDataVisibility(n)||e[n].hidden||(i+=Math.abs(o))}return i}calculateCircumference(t){const e=this._cachedMeta.total;return e>0&&!isNaN(t)?at*(Math.abs(t)/e):0}getLabelAndValue(t){const e=this._cachedMeta,n=this.chart,i=n.data.labels||[],o=Jt(e._parsed[t],n.options.locale);return{label:i[t]||"",value:o}}getMaxBorderWidth(t){let e=0;const n=this.chart;let i,o,r,s,a;if(!t)for(i=0,o=n.data.datasets.length;i<o;++i)if(n.isDatasetVisible(i)){r=n.getDatasetMeta(i),t=r.data,s=r.controller;break}if(!t)return 0;for(i=0,o=t.length;i<o;++i)a=s.resolveDataElementOptions(i),"inner"!==a.borderAlign&&(e=Math.max(e,a.borderWidth||0,a.hoverBorderWidth||0));return e}getMaxOffset(t){let e=0;for(let n=0,i=t.length;n<i;++n){const t=this.resolveDataElementOptions(n);e=Math.max(e,t.offset||0,t.hoverOffset||0)}return e}_getRingWeightOffset(t){let e=0;for(let n=0;n<t;++n)this.chart.isDatasetVisible(n)&&(e+=this._getRingWeight(n));return e}_getRingWeight(t){return Math.max(H(this.chart.data.datasets[t].weight,1),0)}_getVisibleDatasetWeightTotal(){return this._getRingWeightOffset(this.chart.data.datasets.length)||1}}class ei extends Un{static id="polarArea";static defaults={dataElementType:"arc",animation:{animateRotate:!0,animateScale:!0},animations:{numbers:{type:"number",properties:["x","y","startAngle","endAngle","innerRadius","outerRadius"]}},indexAxis:"r",startAngle:0};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:n,color:i}}=t.legend.options;return e.labels.map(((e,o)=>{const r=t.getDatasetMeta(0).controller.getStyle(o);return{text:e,fillStyle:r.backgroundColor,strokeStyle:r.borderColor,fontColor:i,lineWidth:r.borderWidth,pointStyle:n,hidden:!t.getDataVisibility(o),index:o}}))}return[]}},onClick(t,e,n){n.chart.toggleDataVisibility(e.index),n.chart.update()}}},scales:{r:{type:"radialLinear",angleLines:{display:!1},beginAtZero:!0,grid:{circular:!0},pointLabels:{display:!1},startAngle:0}}};constructor(t,e){super(t,e),this.innerRadius=void 0,this.outerRadius=void 0}getLabelAndValue(t){const e=this._cachedMeta,n=this.chart,i=n.data.labels||[],o=Jt(e._parsed[t].r,n.options.locale);return{label:i[t]||"",value:o}}parseObjectData(t,e,n,i){return qe.bind(this)(t,e,n,i)}update(t){const e=this._cachedMeta.data;this._updateRadius(),this.updateElements(e,0,e.length,t)}getMinMax(){const t=this._cachedMeta,e={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY};return t.data.forEach(((t,n)=>{const i=this.getParsed(n).r;!isNaN(i)&&this.chart.getDataVisibility(n)&&(i<e.min&&(e.min=i),i>e.max&&(e.max=i))})),e}_updateRadius(){const t=this.chart,e=t.chartArea,n=t.options,i=Math.min(e.right-e.left,e.bottom-e.top),o=Math.max(i/2,0),r=(o-Math.max(n.cutoutPercentage?o/100*n.cutoutPercentage:1,0))/t.getVisibleDatasetCount();this.outerRadius=o-r*this.index,this.innerRadius=this.outerRadius-r}updateElements(t,e,n,i){const o="reset"===i,r=this.chart,s=r.options.animation,a=this._cachedMeta.rScale,l=a.xCenter,c=a.yCenter,u=a.getIndexAngle(0)-.5*st;let h,d=u;const f=360/this.countVisibleElements();for(h=0;h<e;++h)d+=this._computeAngle(h,i,f);for(h=e;h<e+n;h++){const e=t[h];let n=d,p=d+this._computeAngle(h,i,f),g=r.getDataVisibility(h)?a.getDistanceFromCenterForValue(this.getParsed(h).r):0;d=p,o&&(s.animateScale&&(g=0),s.animateRotate&&(n=p=u));const m={x:l,y:c,innerRadius:0,outerRadius:g,startAngle:n,endAngle:p,options:this.resolveDataElementOptions(h,e.active?"active":i)};this.updateElement(e,h,m,i)}}countVisibleElements(){const t=this._cachedMeta;let e=0;return t.data.forEach(((t,n)=>{!isNaN(this.getParsed(n).r)&&this.chart.getDataVisibility(n)&&e++})),e}_computeAngle(t,e,n){return this.chart.getDataVisibility(t)?vt(this.resolveDataElementOptions(t,e).angle||n):0}}var ni=Object.freeze({__proto__:null,BarController:Qn,BubbleController:class extends Un{static id="bubble";static defaults={datasetElementType:!1,dataElementType:"point",animations:{numbers:{type:"number",properties:["x","y","borderWidth","radius"]}}};static overrides={scales:{x:{type:"linear"},y:{type:"linear"}}};initialize(){this.enableOptionSharing=!0,super.initialize()}parsePrimitiveData(t,e,n,i){const o=super.parsePrimitiveData(t,e,n,i);for(let r=0;r<o.length;r++)o[r]._custom=this.resolveDataElementOptions(r+n).radius;return o}parseArrayData(t,e,n,i){const o=super.parseArrayData(t,e,n,i);for(let r=0;r<o.length;r++){const t=e[n+r];o[r]._custom=H(t[2],this.resolveDataElementOptions(r+n).radius)}return o}parseObjectData(t,e,n,i){const o=super.parseObjectData(t,e,n,i);for(let r=0;r<o.length;r++){const t=e[n+r];o[r]._custom=H(t&&t.r&&+t.r,this.resolveDataElementOptions(r+n).radius)}return o}getMaxOverflow(){const t=this._cachedMeta.data;let e=0;for(let n=t.length-1;n>=0;--n)e=Math.max(e,t[n].size(this.resolveDataElementOptions(n))/2);return e>0&&e}getLabelAndValue(t){const e=this._cachedMeta,n=this.chart.data.labels||[],{xScale:i,yScale:o}=e,r=this.getParsed(t),s=i.getLabelForValue(r.x),a=o.getLabelForValue(r.y),l=r._custom;return{label:n[t]||"",value:"("+s+", "+a+(l?", "+l:"")+")"}}update(t){const e=this._cachedMeta.data;this.updateElements(e,0,e.length,t)}updateElements(t,e,n,i){const o="reset"===i,{iScale:r,vScale:s}=this._cachedMeta,{sharedOptions:a,includeOptions:l}=this._getSharedOptions(e,i),c=r.axis,u=s.axis;for(let h=e;h<e+n;h++){const e=t[h],n=!o&&this.getParsed(h),d={},f=d[c]=o?r.getPixelForDecimal(.5):r.getPixelForValue(n[c]),p=d[u]=o?s.getBasePixel():s.getPixelForValue(n[u]);d.skip=isNaN(f)||isNaN(p),l&&(d.options=a||this.resolveDataElementOptions(h,e.active?"active":i),o&&(d.options.radius=0)),this.updateElement(e,h,d,i)}}resolveDataElementOptions(t,e){const n=this.getParsed(t);let i=super.resolveDataElementOptions(t,e);i.$shared&&(i=Object.assign({},i,{$shared:!1}));const o=i.radius;return"active"!==e&&(i.radius=0),i.radius+=H(n&&n._custom,o),i}},DoughnutController:ti,LineController:class extends Un{static id="line";static defaults={datasetElementType:"line",dataElementType:"point",showLine:!0,spanGaps:!1};static overrides={scales:{_index_:{type:"category"},_value_:{type:"linear"}}};initialize(){this.enableOptionSharing=!0,this.supportsDecimation=!0,super.initialize()}update(t){const e=this._cachedMeta,{dataset:n,data:i=[],_dataset:o}=e,r=this.chart._animationsDisabled;let{start:s,count:a}=Bt(e,i,r);this._drawStart=s,this._drawCount=a,Wt(e)&&(s=0,a=i.length),n._chart=this.chart,n._datasetIndex=this.index,n._decimated=!!o._decimated,n.points=i;const l=this.resolveDatasetElementOptions(t);this.options.showLine||(l.borderWidth=0),l.segment=this.options.segment,this.updateElement(n,void 0,{animated:!r,options:l},t),this.updateElements(i,s,a,t)}updateElements(t,e,n,i){const o="reset"===i,{iScale:r,vScale:s,_stacked:a,_dataset:l}=this._cachedMeta,{sharedOptions:c,includeOptions:u}=this._getSharedOptions(e,i),h=r.axis,d=s.axis,{spanGaps:f,segment:p}=this.options,g=yt(f)?f:Number.POSITIVE_INFINITY,m=this.chart._animationsDisabled||o||"none"===i,b=e+n,y=t.length;let x=e>0&&this.getParsed(e-1);for(let v=0;v<y;++v){const n=t[v],f=m?n:{};if(v<e||v>=b){f.skip=!0;continue}const y=this.getParsed(v),_=N(y[d]),w=f[h]=r.getPixelForValue(y[h],v),E=f[d]=o||_?s.getBasePixel():s.getPixelForValue(a?this.applyStack(s,y,a):y[d],v);f.skip=isNaN(w)||isNaN(E)||_,f.stop=v>0&&Math.abs(y[h]-x[h])>g,p&&(f.parsed=y,f.raw=l.data[v]),u&&(f.options=c||this.resolveDataElementOptions(v,n.active?"active":i)),m||this.updateElement(n,v,f,i),x=y}}getMaxOverflow(){const t=this._cachedMeta,e=t.dataset,n=e.options&&e.options.borderWidth||0,i=t.data||[];if(!i.length)return n;const o=i[0].size(this.resolveDataElementOptions(0)),r=i[i.length-1].size(this.resolveDataElementOptions(i.length-1));return Math.max(n,o,r)/2}draw(){const t=this._cachedMeta;t.dataset.updateControlPoints(this.chart.chartArea,t.iScale.axis),super.draw()}},PieController:class extends ti{static id="pie";static defaults={cutout:0,rotation:0,circumference:360,radius:"100%"}},PolarAreaController:ei,RadarController:class extends Un{static id="radar";static defaults={datasetElementType:"line",dataElementType:"point",indexAxis:"r",showLine:!0,elements:{line:{fill:"start"}}};static overrides={aspectRatio:1,scales:{r:{type:"radialLinear"}}};getLabelAndValue(t){const e=this._cachedMeta.vScale,n=this.getParsed(t);return{label:e.getLabels()[t],value:""+e.getLabelForValue(n[e.axis])}}parseObjectData(t,e,n,i){return qe.bind(this)(t,e,n,i)}update(t){const e=this._cachedMeta,n=e.dataset,i=e.data||[],o=e.iScale.getLabels();if(n.points=i,"resize"!==t){const e=this.resolveDatasetElementOptions(t);this.options.showLine||(e.borderWidth=0);const r={_loop:!0,_fullLoop:o.length===i.length,options:e};this.updateElement(n,void 0,r,t)}this.updateElements(i,0,i.length,t)}updateElements(t,e,n,i){const o=this._cachedMeta.rScale,r="reset"===i;for(let s=e;s<e+n;s++){const e=t[s],n=this.resolveDataElementOptions(s,e.active?"active":i),a=o.getPointPositionForValue(s,this.getParsed(s).r),l=r?o.xCenter:a.x,c=r?o.yCenter:a.y,u={x:l,y:c,angle:a.angle,skip:isNaN(l)||isNaN(c),options:n};this.updateElement(e,s,u,i)}}},ScatterController:class extends Un{static id="scatter";static defaults={datasetElementType:!1,dataElementType:"point",showLine:!1,fill:!1};static overrides={interaction:{mode:"point"},scales:{x:{type:"linear"},y:{type:"linear"}}};getLabelAndValue(t){const e=this._cachedMeta,n=this.chart.data.labels||[],{xScale:i,yScale:o}=e,r=this.getParsed(t),s=i.getLabelForValue(r.x),a=o.getLabelForValue(r.y);return{label:n[t]||"",value:"("+s+", 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window.devicePixelRatio}getMaximumSize(t,e,n,i){return un(t,e,n,i)}isAttached(t){const e=en(t);return!(!e||!e.isConnected)}}class Hi{static defaults={};static defaultRoutes=void 0;x;y;active=!1;options;$animations;tooltipPosition(t){const{x:e,y:n}=this.getProps(["x","y"],t);return{x:e,y:n}}hasValue(){return yt(this.x)&&yt(this.y)}getProps(t,e){const n=this.$animations;if(!e||!n)return this;const i={};return t.forEach((t=>{i[t]=n[t]&&n[t].active()?n[t]._to:this[t]})),i}}function Ui(t,e){const n=t.options.ticks,i=function(t){const e=t.options.offset,n=t._tickSize(),i=t._length/n+(e?0:1),o=t._maxLength/n;return Math.floor(Math.min(i,o))}(t),o=Math.min(n.maxTicksLimit||i,i),r=n.major.enabled?function(t){const e=[];let n,i;for(n=0,i=t.length;n<i;n++)t[n].major&&e.push(n);return e}(e):[],s=r.length,a=r[0],l=r[s-1],c=[];if(s>o)return function(t,e,n,i){let o,r=0,s=n[0];for(i=Math.ceil(i),o=0;o<t.length;o++)o===s&&(e.push(t[o]),r++,s=n[r*i])}(e,c,r,s/o),c;const u=function(t,e,n){const i=function(t){const e=t.length;let n,i;if(e<2)return!1;for(i=t[0],n=1;n<e;++n)if(t[n]-t[n-1]!==i)return!1;return i}(t),o=e.length/n;if(!i)return Math.max(o,1);const r=function(t){const e=[],n=Math.sqrt(t);let i;for(i=1;i<n;i++)t%i==0&&(e.push(i),e.push(t/i));return n===(0|n)&&e.push(n),e.sort(((t,e)=>t-e)).pop(),e}(i);for(let s=0,a=r.length-1;s<a;s++){const t=r[s];if(t>o)return t}return Math.max(o,1)}(r,e,o);if(s>0){let t,n;const i=s>1?Math.round((l-a)/(s-1)):null;for($i(e,c,u,N(i)?0:a-i,a),t=0,n=s-1;t<n;t++)$i(e,c,u,r[t],r[t+1]);return $i(e,c,u,l,N(i)?e.length:l+i),c}return $i(e,c,u),c}function $i(t,e,n,i,o){const r=H(i,0),s=Math.min(H(o,t.length),t.length);let a,l,c,u=0;for(n=Math.ceil(n),o&&(a=o-i,n=a/Math.floor(a/n)),c=r;c<0;)u++,c=Math.round(r+u*n);for(l=Math.max(r,0);l<s;l++)l===c&&(e.push(t[l]),u++,c=Math.round(r+u*n))}const qi=(t,e,n)=>"top"===e||"left"===e?t[e]+n:t[e]-n,Yi=(t,e)=>Math.min(e||t,t);function Ki(t,e){const n=[],i=t.length/e,o=t.length;let r=0;for(;r<o;r+=i)n.push(t[Math.floor(r)]);return n}function Xi(t,e,n){const i=t.ticks.length,o=Math.min(e,i-1),r=t._startPixel,s=t._endPixel,a=1e-6;let l,c=t.getPixelForTick(o);if(!(n&&(l=1===i?Math.max(c-r,s-c):0===e?(t.getPixelForTick(1)-c)/2:(c-t.getPixelForTick(o-1))/2,c+=o<e?l:-l,c<r-a||c>s+a)))return c}function Gi(t){return t.drawTicks?t.tickLength:0}function Zi(t,e){if(!t.display)return 0;const n=Re(t.font,e),i=Pe(t.padding);return(z(t.text)?t.text.length:1)*n.lineHeight+i.height}function Ji(t,e,n){let i=Nt(t);return(n&&"right"!==e||!n&&"right"===e)&&(i=(t=>"left"===t?"right":"right"===t?"left":t)(i)),i}class Qi extends Hi{constructor(t){super(),this.id=t.id,this.type=t.type,this.options=void 0,this.ctx=t.ctx,this.chart=t.chart,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this._margins={left:0,right:0,top:0,bottom:0},this.maxWidth=void 0,this.maxHeight=void 0,this.paddingTop=void 0,this.paddingBottom=void 0,this.paddingLeft=void 0,this.paddingRight=void 0,this.axis=void 0,this.labelRotation=void 0,this.min=void 0,this.max=void 0,this._range=void 0,this.ticks=[],this._gridLineItems=null,this._labelItems=null,this._labelSizes=null,this._length=0,this._maxLength=0,this._longestTextCache={},this._startPixel=void 0,this._endPixel=void 0,this._reversePixels=!1,this._userMax=void 0,this._userMin=void 0,this._suggestedMax=void 0,this._suggestedMin=void 0,this._ticksLength=0,this._borderValue=0,this._cache={},this._dataLimitsCached=!1,this.$context=void 0}init(t){this.options=t.setContext(this.getContext()),this.axis=t.axis,this._userMin=this.parse(t.min),this._userMax=this.parse(t.max),this._suggestedMin=this.parse(t.suggestedMin),this._suggestedMax=this.parse(t.suggestedMax)}parse(t,e){return t}getUserBounds(){let{_userMin:t,_userMax:e,_suggestedMin:n,_suggestedMax:i}=this;return t=V(t,Number.POSITIVE_INFINITY),e=V(e,Number.NEGATIVE_INFINITY),n=V(n,Number.POSITIVE_INFINITY),i=V(i,Number.NEGATIVE_INFINITY),{min:V(t,n),max:V(e,i),minDefined:W(t),maxDefined:W(e)}}getMinMax(t){let e,{min:n,max:i,minDefined:o,maxDefined:r}=this.getUserBounds();if(o&&r)return{min:n,max:i};const s=this.getMatchingVisibleMetas();for(let a=0,l=s.length;a<l;++a)e=s[a].controller.getMinMax(this,t),o||(n=Math.min(n,e.min)),r||(i=Math.max(i,e.max));return n=r&&n>i?i:n,i=o&&n>i?n:i,{min:V(n,V(i,n)),max:V(i,V(n,i))}}getPadding(){return{left:this.paddingLeft||0,top:this.paddingTop||0,right:this.paddingRight||0,bottom:this.paddingBottom||0}}getTicks(){return this.ticks}getLabels(){const t=this.chart.data;return this.options.labels||(this.isHorizontal()?t.xLabels:t.yLabels)||t.labels||[]}getLabelItems(t=this.chart.chartArea){return this._labelItems||(this._labelItems=this._computeLabelItems(t))}beforeLayout(){this._cache={},this._dataLimitsCached=!1}beforeUpdate(){$(this.options.beforeUpdate,[this])}update(t,e,n){const{beginAtZero:i,grace:o,ticks:r}=this.options,s=r.sampleSize;this.beforeUpdate(),this.maxWidth=t,this.maxHeight=e,this._margins=n=Object.assign({left:0,right:0,top:0,bottom:0},n),this.ticks=null,this._labelSizes=null,this._gridLineItems=null,this._labelItems=null,this.beforeSetDimensions(),this.setDimensions(),this.afterSetDimensions(),this._maxLength=this.isHorizontal()?this.width+n.left+n.right:this.height+n.top+n.bottom,this._dataLimitsCached||(this.beforeDataLimits(),this.determineDataLimits(),this.afterDataLimits(),this._range=function(t,e,n){const{min:i,max:o}=t,r=U(e,(o-i)/2),s=(t,e)=>n&&0===t?0:t+e;return{min:s(i,-Math.abs(r)),max:s(o,r)}}(this,o,i),this._dataLimitsCached=!0),this.beforeBuildTicks(),this.ticks=this.buildTicks()||[],this.afterBuildTicks();const a=s<this.ticks.length;this._convertTicksToLabels(a?Ki(this.ticks,s):this.ticks),this.configure(),this.beforeCalculateLabelRotation(),this.calculateLabelRotation(),this.afterCalculateLabelRotation(),r.display&&(r.autoSkip||"auto"===r.source)&&(this.ticks=Ui(this,this.ticks),this._labelSizes=null,this.afterAutoSkip()),a&&this._convertTicksToLabels(this.ticks),this.beforeFit(),this.fit(),this.afterFit(),this.afterUpdate()}configure(){let t,e,n=this.options.reverse;this.isHorizontal()?(t=this.left,e=this.right):(t=this.top,e=this.bottom,n=!n),this._startPixel=t,this._endPixel=e,this._reversePixels=n,this._length=e-t,this._alignToPixels=this.options.alignToPixels}afterUpdate(){$(this.options.afterUpdate,[this])}beforeSetDimensions(){$(this.options.beforeSetDimensions,[this])}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=0,this.right=this.width):(this.height=this.maxHeight,this.top=0,this.bottom=this.height),this.paddingLeft=0,this.paddingTop=0,this.paddingRight=0,this.paddingBottom=0}afterSetDimensions(){$(this.options.afterSetDimensions,[this])}_callHooks(t){this.chart.notifyPlugins(t,this.getContext()),$(this.options[t],[this])}beforeDataLimits(){this._callHooks("beforeDataLimits")}determineDataLimits(){}afterDataLimits(){this._callHooks("afterDataLimits")}beforeBuildTicks(){this._callHooks("beforeBuildTicks")}buildTicks(){return[]}afterBuildTicks(){this._callHooks("afterBuildTicks")}beforeTickToLabelConversion(){$(this.options.beforeTickToLabelConversion,[this])}generateTickLabels(t){const e=this.options.ticks;let n,i,o;for(n=0,i=t.length;n<i;n++)o=t[n],o.label=$(e.callback,[o.value,n,t],this)}afterTickToLabelConversion(){$(this.options.afterTickToLabelConversion,[this])}beforeCalculateLabelRotation(){$(this.options.beforeCalculateLabelRotation,[this])}calculateLabelRotation(){const t=this.options,e=t.ticks,n=Yi(this.ticks.length,t.ticks.maxTicksLimit),i=e.minRotation||0,o=e.maxRotation;let r,s,a,l=i;if(!this._isVisible()||!e.display||i>=o||n<=1||!this.isHorizontal())return void(this.labelRotation=i);const c=this._getLabelSizes(),u=c.widest.width,h=c.highest.height,d=Mt(this.chart.width-u,0,this.maxWidth);r=t.offset?this.maxWidth/n:d/(n-1),u+6>r&&(r=d/(n-(t.offset?.5:1)),s=this.maxHeight-Gi(t.grid)-e.padding-Zi(t.title,this.chart.options.font),a=Math.sqrt(u*u+h*h),l=_t(Math.min(Math.asin(Mt((c.highest.height+6)/r,-1,1)),Math.asin(Mt(s/a,-1,1))-Math.asin(Mt(h/a,-1,1)))),l=Math.max(i,Math.min(o,l))),this.labelRotation=l}afterCalculateLabelRotation(){$(this.options.afterCalculateLabelRotation,[this])}afterAutoSkip(){}beforeFit(){$(this.options.beforeFit,[this])}fit(){const t={width:0,height:0},{chart:e,options:{ticks:n,title:i,grid:o}}=this,r=this._isVisible(),s=this.isHorizontal();if(r){const r=Zi(i,e.options.font);if(s?(t.width=this.maxWidth,t.height=Gi(o)+r):(t.height=this.maxHeight,t.width=Gi(o)+r),n.display&&this.ticks.length){const{first:e,last:i,widest:o,highest:r}=this._getLabelSizes(),a=2*n.padding,l=vt(this.labelRotation),c=Math.cos(l),u=Math.sin(l);if(s){const e=n.mirror?0:u*o.width+c*r.height;t.height=Math.min(this.maxHeight,t.height+e+a)}else{const e=n.mirror?0:c*o.width+u*r.height;t.width=Math.min(this.maxWidth,t.width+e+a)}this._calculatePadding(e,i,u,c)}}this._handleMargins(),s?(this.width=this._length=e.width-this._margins.left-this._margins.right,this.height=t.height):(this.width=t.width,this.height=this._length=e.height-this._margins.top-this._margins.bottom)}_calculatePadding(t,e,n,i){const{ticks:{align:o,padding:r},position:s}=this.options,a=0!==this.labelRotation,l="top"!==s&&"x"===this.axis;if(this.isHorizontal()){const s=this.getPixelForTick(0)-this.left,c=this.right-this.getPixelForTick(this.ticks.length-1);let u=0,h=0;a?l?(u=i*t.width,h=n*e.height):(u=n*t.height,h=i*e.width):"start"===o?h=e.width:"end"===o?u=t.width:"inner"!==o&&(u=t.width/2,h=e.width/2),this.paddingLeft=Math.max((u-s+r)*this.width/(this.width-s),0),this.paddingRight=Math.max((h-c+r)*this.width/(this.width-c),0)}else{let n=e.height/2,i=t.height/2;"start"===o?(n=0,i=t.height):"end"===o&&(n=e.height,i=0),this.paddingTop=n+r,this.paddingBottom=i+r}}_handleMargins(){this._margins&&(this._margins.left=Math.max(this.paddingLeft,this._margins.left),this._margins.top=Math.max(this.paddingTop,this._margins.top),this._margins.right=Math.max(this.paddingRight,this._margins.right),this._margins.bottom=Math.max(this.paddingBottom,this._margins.bottom))}afterFit(){$(this.options.afterFit,[this])}isHorizontal(){const{axis:t,position:e}=this.options;return"top"===e||"bottom"===e||"x"===t}isFullSize(){return this.options.fullSize}_convertTicksToLabels(t){let e,n;for(this.beforeTickToLabelConversion(),this.generateTickLabels(t),e=0,n=t.length;e<n;e++)N(t[e].label)&&(t.splice(e,1),n--,e--);this.afterTickToLabelConversion()}_getLabelSizes(){let t=this._labelSizes;if(!t){const e=this.options.ticks.sampleSize;let n=this.ticks;e<n.length&&(n=Ki(n,e)),this._labelSizes=t=this._computeLabelSizes(n,n.length,this.options.ticks.maxTicksLimit)}return t}_computeLabelSizes(t,e,n){const{ctx:i,_longestTextCache:o}=this,r=[],s=[],a=Math.floor(e/Yi(e,n));let l,c,u,h,d,f,p,g,m,b,y,x=0,v=0;for(l=0;l<e;l+=a){if(h=t[l].label,d=this._resolveTickFontOptions(l),i.font=f=d.string,p=o[f]=o[f]||{data:{},gc:[]},g=d.lineHeight,m=b=0,N(h)||z(h)){if(z(h))for(c=0,u=h.length;c<u;++c)y=h[c],N(y)||z(y)||(m=ae(i,p.data,p.gc,m,y),b+=g)}else m=ae(i,p.data,p.gc,m,h),b=g;r.push(m),s.push(b),x=Math.max(m,x),v=Math.max(b,v)}!function(t,e){q(t,(t=>{const n=t.gc,i=n.length/2;let o;if(i>e){for(o=0;o<i;++o)delete t.data[n[o]];n.splice(0,i)}}))}(o,e);const _=r.indexOf(x),w=s.indexOf(v),E=t=>({width:r[t]||0,height:s[t]||0});return{first:E(0),last:E(e-1),widest:E(_),highest:E(w),widths:r,heights:s}}getLabelForValue(t){return t}getPixelForValue(t,e){return NaN}getValueForPixel(t){}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getPixelForDecimal(t){this._reversePixels&&(t=1-t);const e=this._startPixel+t*this._length;return Mt(this._alignToPixels?ce(this.chart,e,0):e,-32768,32767)}getDecimalForPixel(t){const e=(t-this._startPixel)/this._length;return this._reversePixels?1-e:e}getBasePixel(){return this.getPixelForValue(this.getBaseValue())}getBaseValue(){const{min:t,max:e}=this;return t<0&&e<0?e:t>0&&e>0?t:0}getContext(t){const e=this.ticks||[];if(t>=0&&t<e.length){const n=e[t];return n.$context||(n.$context=function(t,e,n){return De(t,{tick:n,index:e,type:"tick"})}(this.getContext(),t,n))}return this.$context||(this.$context=De(this.chart.getContext(),{scale:this,type:"scale"}))}_tickSize(){const t=this.options.ticks,e=vt(this.labelRotation),n=Math.abs(Math.cos(e)),i=Math.abs(Math.sin(e)),o=this._getLabelSizes(),r=t.autoSkipPadding||0,s=o?o.widest.width+r:0,a=o?o.highest.height+r:0;return this.isHorizontal()?a*n>s*i?s/n:a/i:a*i<s*n?a/n:s/i}_isVisible(){const t=this.options.display;return"auto"!==t?!!t:this.getMatchingVisibleMetas().length>0}_computeGridLineItems(t){const e=this.axis,n=this.chart,i=this.options,{grid:o,position:r,border:s}=i,a=o.offset,l=this.isHorizontal(),c=this.ticks.length+(a?1:0),u=Gi(o),h=[],d=s.setContext(this.getContext()),f=d.display?d.width:0,p=f/2,g=function(t){return ce(n,t,f)};let m,b,y,x,v,_,w,E,O,C,S,k;if("top"===r)m=g(this.bottom),_=this.bottom-u,E=m-p,C=g(t.top)+p,k=t.bottom;else if("bottom"===r)m=g(this.top),C=t.top,k=g(t.bottom)-p,_=m+p,E=this.top+u;else if("left"===r)m=g(this.right),v=this.right-u,w=m-p,O=g(t.left)+p,S=t.right;else if("right"===r)m=g(this.left),O=t.left,S=g(t.right)-p,v=m+p,w=this.left+u;else if("x"===e){if("center"===r)m=g((t.top+t.bottom)/2+.5);else if(B(r)){const t=Object.keys(r)[0],e=r[t];m=g(this.chart.scales[t].getPixelForValue(e))}C=t.top,k=t.bottom,_=m+p,E=_+u}else if("y"===e){if("center"===r)m=g((t.left+t.right)/2);else if(B(r)){const t=Object.keys(r)[0],e=r[t];m=g(this.chart.scales[t].getPixelForValue(e))}v=m-p,w=v-u,O=t.left,S=t.right}const M=H(i.ticks.maxTicksLimit,c),P=Math.max(1,Math.ceil(c/M));for(b=0;b<c;b+=P){const t=this.getContext(b),e=o.setContext(t),i=s.setContext(t),r=e.lineWidth,c=e.color,u=i.dash||[],d=i.dashOffset,f=e.tickWidth,p=e.tickColor,g=e.tickBorderDash||[],m=e.tickBorderDashOffset;y=Xi(this,b,a),void 0!==y&&(x=ce(n,y,r),l?v=w=O=S=x:_=E=C=k=x,h.push({tx1:v,ty1:_,tx2:w,ty2:E,x1:O,y1:C,x2:S,y2:k,width:r,color:c,borderDash:u,borderDashOffset:d,tickWidth:f,tickColor:p,tickBorderDash:g,tickBorderDashOffset:m}))}return this._ticksLength=c,this._borderValue=m,h}_computeLabelItems(t){const e=this.axis,n=this.options,{position:i,ticks:o}=n,r=this.isHorizontal(),s=this.ticks,{align:a,crossAlign:l,padding:c,mirror:u}=o,h=Gi(n.grid),d=h+c,f=u?-c:d,p=-vt(this.labelRotation),g=[];let m,b,y,x,v,_,w,E,O,C,S,k,M="middle";if("top"===i)_=this.bottom-f,w=this._getXAxisLabelAlignment();else if("bottom"===i)_=this.top+f,w=this._getXAxisLabelAlignment();else if("left"===i){const t=this._getYAxisLabelAlignment(h);w=t.textAlign,v=t.x}else if("right"===i){const t=this._getYAxisLabelAlignment(h);w=t.textAlign,v=t.x}else if("x"===e){if("center"===i)_=(t.top+t.bottom)/2+d;else if(B(i)){const t=Object.keys(i)[0],e=i[t];_=this.chart.scales[t].getPixelForValue(e)+d}w=this._getXAxisLabelAlignment()}else if("y"===e){if("center"===i)v=(t.left+t.right)/2-d;else if(B(i)){const t=Object.keys(i)[0],e=i[t];v=this.chart.scales[t].getPixelForValue(e)}w=this._getYAxisLabelAlignment(h).textAlign}"y"===e&&("start"===a?M="top":"end"===a&&(M="bottom"));const P=this._getLabelSizes();for(m=0,b=s.length;m<b;++m){y=s[m],x=y.label;const t=o.setContext(this.getContext(m));E=this.getPixelForTick(m)+o.labelOffset,O=this._resolveTickFontOptions(m),C=O.lineHeight,S=z(x)?x.length:1;const e=S/2,n=t.color,a=t.textStrokeColor,c=t.textStrokeWidth;let h,d=w;if(r?(v=E,"inner"===w&&(d=m===b-1?this.options.reverse?"left":"right":0===m?this.options.reverse?"right":"left":"center"),k="top"===i?"near"===l||0!==p?-S*C+C/2:"center"===l?-P.highest.height/2-e*C+C:-P.highest.height+C/2:"near"===l||0!==p?C/2:"center"===l?P.highest.height/2-e*C:P.highest.height-S*C,u&&(k*=-1),0===p||t.showLabelBackdrop||(v+=C/2*Math.sin(p))):(_=E,k=(1-S)*C/2),t.showLabelBackdrop){const e=Pe(t.backdropPadding),n=P.heights[m],i=P.widths[m];let o=k-e.top,r=0-e.left;switch(M){case"middle":o-=n/2;break;case"bottom":o-=n}switch(w){case"center":r-=i/2;break;case"right":r-=i;break;case"inner":m===b-1?r-=i:m>0&&(r-=i/2)}h={left:r,top:o,width:i+e.width,height:n+e.height,color:t.backdropColor}}g.push({label:x,font:O,textOffset:k,options:{rotation:p,color:n,strokeColor:a,strokeWidth:c,textAlign:d,textBaseline:M,translation:[v,_],backdrop:h}})}return g}_getXAxisLabelAlignment(){const{position:t,ticks:e}=this.options;if(-vt(this.labelRotation))return"top"===t?"left":"right";let n="center";return"start"===e.align?n="left":"end"===e.align?n="right":"inner"===e.align&&(n="inner"),n}_getYAxisLabelAlignment(t){const{position:e,ticks:{crossAlign:n,mirror:i,padding:o}}=this.options,r=t+o,s=this._getLabelSizes().widest.width;let a,l;return"left"===e?i?(l=this.right+o,"near"===n?a="left":"center"===n?(a="center",l+=s/2):(a="right",l+=s)):(l=this.right-r,"near"===n?a="right":"center"===n?(a="center",l-=s/2):(a="left",l=this.left)):"right"===e?i?(l=this.left+o,"near"===n?a="right":"center"===n?(a="center",l-=s/2):(a="left",l-=s)):(l=this.left+r,"near"===n?a="left":"center"===n?(a="center",l+=s/2):(a="right",l=this.right)):a="right",{textAlign:a,x:l}}_computeLabelArea(){if(this.options.ticks.mirror)return;const 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t=i[o];e.drawOnChartArea&&s({x:t.x1,y:t.y1},{x:t.x2,y:t.y2},t),e.drawTicks&&s({x:t.tx1,y:t.ty1},{x:t.tx2,y:t.ty2},{color:t.tickColor,width:t.tickWidth,borderDash:t.tickBorderDash,borderDashOffset:t.tickBorderDashOffset})}}drawBorder(){const{chart:t,ctx:e,options:{border:n,grid:i}}=this,o=n.setContext(this.getContext()),r=n.display?o.width:0;if(!r)return;const s=i.setContext(this.getContext(0)).lineWidth,a=this._borderValue;let l,c,u,h;this.isHorizontal()?(l=ce(t,this.left,r)-r/2,c=ce(t,this.right,s)+s/2,u=h=a):(u=ce(t,this.top,r)-r/2,h=ce(t,this.bottom,s)+s/2,l=c=a),e.save(),e.lineWidth=o.width,e.strokeStyle=o.color,e.beginPath(),e.moveTo(l,u),e.lineTo(c,h),e.stroke(),e.restore()}drawLabels(t){if(!this.options.ticks.display)return;const e=this.ctx,n=this._computeLabelArea();n&&pe(e,n);const i=this.getLabelItems(t);for(const o of i){const 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this._get(t,this.controllers,"controller")}getElement(t){return this._get(t,this.elements,"element")}getPlugin(t){return this._get(t,this.plugins,"plugin")}getScale(t){return this._get(t,this.scales,"scale")}removeControllers(...t){this._each("unregister",t,this.controllers)}removeElements(...t){this._each("unregister",t,this.elements)}removePlugins(...t){this._each("unregister",t,this.plugins)}removeScales(...t){this._each("unregister",t,this.scales)}_each(t,e,n){[...e].forEach((e=>{const i=n||this._getRegistryForType(e);n||i.isForType(e)||i===this.plugins&&e.id?this._exec(t,i,e):q(e,(e=>{const i=n||this._getRegistryForType(e);this._exec(t,i,e)}))}))}_exec(t,e,n){const i=nt(t);$(n["before"+i],[],n),e[t](n),$(n["after"+i],[],n)}_getRegistryForType(t){for(let e=0;e<this._typedRegistries.length;e++){const n=this._typedRegistries[e];if(n.isForType(t))return n}return this.plugins}_get(t,e,n){const i=e.get(t);if(void 0===i)throw new Error('"'+t+'" is not a registered '+n+".");return i}}var no=new eo;class io{constructor(){this._init=[]}notify(t,e,n,i){"beforeInit"===e&&(this._init=this._createDescriptors(t,!0),this._notify(this._init,t,"install"));const o=i?this._descriptors(t).filter(i):this._descriptors(t),r=this._notify(o,t,e,n);return"afterDestroy"===e&&(this._notify(o,t,"stop"),this._notify(this._init,t,"uninstall")),r}_notify(t,e,n,i){i=i||{};for(const o of t){const t=o.plugin;if(!1===$(t[n],[e,i,o.options],t)&&i.cancelable)return!1}return!0}invalidate(){N(this._cache)||(this._oldCache=this._cache,this._cache=void 0)}_descriptors(t){if(this._cache)return this._cache;const e=this._cache=this._createDescriptors(t);return this._notifyStateChanges(t),e}_createDescriptors(t,e){const n=t&&t.config,i=H(n.options&&n.options.plugins,{}),o=function(t){const e={},n=[],i=Object.keys(no.plugins.items);for(let r=0;r<i.length;r++)n.push(no.getPlugin(i[r]));const o=t.plugins||[];for(let r=0;r<o.length;r++){const 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r=i.type||this.config.type;if(o.type&&o.type!==r&&(this._destroyDatasetMeta(n),o=this.getDatasetMeta(n)),o.type=r,o.indexAxis=i.indexAxis||so(r,this.options),o.order=i.order||0,o.index=n,o.label=""+i.label,o.visible=this.isDatasetVisible(n),o.controller)o.controller.updateIndex(n),o.controller.linkScales();else{const e=no.getController(r),{datasetElementType:i,dataElementType:s}=se.datasets[r];Object.assign(e,{dataElementType:no.getElement(s),datasetElementType:i&&no.getElement(i)}),o.controller=new e(this,n),t.push(o.controller)}}return this._updateMetasets(),t}_resetElements(){q(this.data.datasets,((t,e)=>{this.getDatasetMeta(e).controller.reset()}),this)}reset(){this._resetElements(),this.notifyPlugins("reset")}update(t){const e=this.config;e.update();const n=this._options=e.createResolver(e.chartOptionScopes(),this.getContext()),i=this._animationsDisabled=!n.animation;if(this._updateScales(),this._checkEventBindings(),this._updateHiddenIndices(),this._plugins.invalidate(),!1===this.notifyPlugins("beforeUpdate",{mode:t,cancelable:!0}))return;const o=this.buildOrUpdateControllers();this.notifyPlugins("beforeElementsUpdate");let r=0;for(let l=0,c=this.data.datasets.length;l<c;l++){const{controller:t}=this.getDatasetMeta(l),e=!i&&-1===o.indexOf(t);t.buildOrUpdateElements(e),r=Math.max(+t.getMaxOverflow(),r)}r=this._minPadding=n.layout.autoPadding?r:0,this._updateLayout(r),i||q(o,(t=>{t.reset()})),this._updateDatasets(t),this.notifyPlugins("afterUpdate",{mode:t}),this._layers.sort(Eo("z","_idx"));const{_active:s,_lastEvent:a}=this;a?this._eventHandler(a,!0):s.length&&this._updateHoverStyles(s,s,!0),this.render()}_updateScales(){q(this.scales,(t=>{Ci.removeBox(this,t)})),this.ensureScalesHaveIDs(),this.buildOrUpdateScales()}_checkEventBindings(){const t=this.options,e=new Set(Object.keys(this._listeners)),n=new Set(t.events);rt(e,n)&&!!this._responsiveListeners===t.responsive||(this.unbindEvents(),this.bindEvents())}_updateHiddenIndices(){const{_hiddenIndices:t}=this,e=this._getUniformDataChanges()||[];for(const{method:n,start:i,count:o}of e){Po(t,i,"_removeElements"===n?-o:o)}}_getUniformDataChanges(){const t=this._dataChanges;if(!t||!t.length)return;this._dataChanges=[];const e=this.data.datasets.length,n=e=>new Set(t.filter((t=>t[0]===e)).map(((t,e)=>e+","+t.splice(1).join(",")))),i=n(0);for(let o=1;o<e;o++)if(!rt(i,n(o)))return;return Array.from(i).map((t=>t.split(","))).map((t=>({method:t[1],start:+t[2],count:+t[3]})))}_updateLayout(t){if(!1===this.notifyPlugins("beforeLayout",{cancelable:!0}))return;Ci.update(this,this.width,this.height,t);const e=this.chartArea,n=e.width<=0||e.height<=0;this._layers=[],q(this.boxes,(t=>{n&&"chartArea"===t.position||(t.configure&&t.configure(),this._layers.push(...t._layers()))}),this),this._layers.forEach(((t,e)=>{t._idx=e})),this.notifyPlugins("afterLayout")}_updateDatasets(t){if(!1!==this.notifyPlugins("beforeDatasetsUpdate",{mode:t,cancelable:!0})){for(let t=0,e=this.data.datasets.length;t<e;++t)this.getDatasetMeta(t).controller.configure();for(let e=0,n=this.data.datasets.length;e<n;++e)this._updateDataset(e,ot(t)?t({datasetIndex:e}):t);this.notifyPlugins("afterDatasetsUpdate",{mode:t})}}_updateDataset(t,e){const n=this.getDatasetMeta(t),i={meta:n,index:t,mode:e,cancelable:!0};!1!==this.notifyPlugins("beforeDatasetUpdate",i)&&(n.controller._update(e),i.cancelable=!1,this.notifyPlugins("afterDatasetUpdate",i))}render(){!1!==this.notifyPlugins("beforeRender",{cancelable:!0})&&(Mn.has(this)?this.attached&&!Mn.running(this)&&Mn.start(this):(this.draw(),Oo({chart:this})))}draw(){let t;if(this._resizeBeforeDraw){const{width:t,height:e}=this._resizeBeforeDraw;this._resize(t,e),this._resizeBeforeDraw=null}if(this.clear(),this.width<=0||this.height<=0)return;if(!1===this.notifyPlugins("beforeDraw",{cancelable:!0}))return;const e=this._layers;for(t=0;t<e.length&&e[t].z<=0;++t)e[t].draw(this.chartArea);for(this._drawDatasets();t<e.length;++t)e[t].draw(this.chartArea);this.notifyPlugins("afterDraw")}_getSortedDatasetMetas(t){const e=this._sortedMetasets,n=[];let i,o;for(i=0,o=e.length;i<o;++i){const o=e[i];t&&!o.visible||n.push(o)}return n}getSortedVisibleDatasetMetas(){return this._getSortedDatasetMetas(!0)}_drawDatasets(){if(!1===this.notifyPlugins("beforeDatasetsDraw",{cancelable:!0}))return;const t=this.getSortedVisibleDatasetMetas();for(let e=t.length-1;e>=0;--e)this._drawDataset(t[e]);this.notifyPlugins("afterDatasetsDraw")}_drawDataset(t){const e=this.ctx,n=t._clip,i=!n.disabled,o=function(t,e){const{xScale:n,yScale:i}=t;return n&&i?{left:Ro(n,e,"left"),right:Ro(n,e,"right"),top:Ro(i,e,"top"),bottom:Ro(i,e,"bottom")}:e}(t,this.chartArea),r={meta:t,index:t.index,cancelable:!0};!1!==this.notifyPlugins("beforeDatasetDraw",r)&&(i&&pe(e,{left:!1===n.left?0:o.left-n.left,right:!1===n.right?this.width:o.right+n.right,top:!1===n.top?0:o.top-n.top,bottom:!1===n.bottom?this.height:o.bottom+n.bottom}),t.controller.draw(),i&&ge(e),r.cancelable=!1,this.notifyPlugins("afterDatasetDraw",r))}isPointInArea(t){return fe(t,this.chartArea,this._minPadding)}getElementsAtEventForMode(t,e,n,i){const o=di.modes[e];return"function"==typeof o?o(this,t,n,i):[]}getDatasetMeta(t){const e=this.data.datasets[t],n=this._metasets;let i=n.filter((t=>t&&t._dataset===e)).pop();return i||(i={type:null,data:[],dataset:null,controller:null,hidden:null,xAxisID:null,yAxisID:null,order:e&&e.order||0,index:t,_dataset:e,_parsed:[],_sorted:!1},n.push(i)),i}getContext(){return this.$context||(this.$context=De(null,{chart:this,type:"chart"}))}getVisibleDatasetCount(){return this.getSortedVisibleDatasetMetas().length}isDatasetVisible(t){const e=this.data.datasets[t];if(!e)return!1;const n=this.getDatasetMeta(t);return"boolean"==typeof n.hidden?!n.hidden:!e.hidden}setDatasetVisibility(t,e){this.getDatasetMeta(t).hidden=!e}toggleDataVisibility(t){this._hiddenIndices[t]=!this._hiddenIndices[t]}getDataVisibility(t){return!this._hiddenIndices[t]}_updateVisibility(t,e,n){const i=n?"show":"hide",o=this.getDatasetMeta(t),r=o.controller._resolveAnimations(void 0,i);it(e)?(o.data[e].hidden=!n,this.update()):(this.setDatasetVisibility(t,n),r.update(o,{visible:n}),this.update((e=>e.datasetIndex===t?i:void 0)))}hide(t,e){this._updateVisibility(t,e,!1)}show(t,e){this._updateVisibility(t,e,!0)}_destroyDatasetMeta(t){const e=this._metasets[t];e&&e.controller&&e.controller._destroy(),delete this._metasets[t]}_stop(){let t,e;for(this.stop(),Mn.remove(this),t=0,e=this.data.datasets.length;t<e;++t)this._destroyDatasetMeta(t)}destroy(){this.notifyPlugins("beforeDestroy");const{canvas:t,ctx:e}=this;this._stop(),this.config.clearCache(),t&&(this.unbindEvents(),ue(t,e),this.platform.releaseContext(e),this.canvas=null,this.ctx=null),delete ko[this.id],this.notifyPlugins("afterDestroy")}toBase64Image(...t){return this.canvas.toDataURL(...t)}bindEvents(){this.bindUserEvents(),this.options.responsive?this.bindResponsiveEvents():this.attached=!0}bindUserEvents(){const t=this._listeners,e=this.platform,n=(n,i)=>{e.addEventListener(this,n,i),t[n]=i},i=(t,e,n)=>{t.offsetX=e,t.offsetY=n,this._eventHandler(t)};q(this.options.events,(t=>n(t,i)))}bindResponsiveEvents(){this._responsiveListeners||(this._responsiveListeners={});const t=this._responsiveListeners,e=this.platform,n=(n,i)=>{e.addEventListener(this,n,i),t[n]=i},i=(n,i)=>{t[n]&&(e.removeEventListener(this,n,i),delete t[n])},o=(t,e)=>{this.canvas&&this.resize(t,e)};let r;const s=()=>{i("attach",s),this.attached=!0,this.resize(),n("resize",o),n("detach",r)};r=()=>{this.attached=!1,i("resize",o),this._stop(),this._resize(0,0),n("attach",s)},e.isAttached(this.canvas)?s():r()}unbindEvents(){q(this._listeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._listeners={},q(this._responsiveListeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._responsiveListeners=void 0}updateHoverStyle(t,e,n){const i=n?"set":"remove";let 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l=ur(n,o[t],o[i],a.loop);if(!e.segments){s.push({source:a,target:l,start:o[t],end:o[i]});continue}const c=En(e,l);for(const e of c){const t=ur(n,r[e.start],r[e.end],e.loop),i=wn(a,o,t);for(const o of i)s.push({source:o,target:e,start:{[n]:dr(l,t,"start",Math.max)},end:{[n]:dr(l,t,"end",Math.min)}})}}return s}(n,i,o);for(const{source:l,target:c,start:u,end:h}of a){const{style:{backgroundColor:e=r}={}}=l,a=!0!==i;t.save(),t.fillStyle=e,Or(t,s,a&&ur(o,u,h)),t.beginPath();const d=!!n.pathSegment(t,l);let f;if(a){d?t.closePath():Cr(t,i,h,o);const e=!!i.pathSegment(t,c,{move:d,reverse:!0});f=d&&e,f||Cr(t,i,u,o)}t.closePath(),t.fill(f?"evenodd":"nonzero"),t.restore()}}function Or(t,e,n){const{top:i,bottom:o}=e.chart.chartArea,{property:r,start:s,end:a}=n||{};"x"===r&&(t.beginPath(),t.rect(s,i,a-s,o-i),t.clip())}function Cr(t,e,n,i){const o=e.interpolate(n,i);o&&t.lineTo(o.x,o.y)}var Sr={id:"filler",afterDatasetsUpdate(t,e,n){const i=(t.data.datasets||[]).length,o=[];let r,s,a,l;for(s=0;s<i;++s)r=t.getDatasetMeta(s),a=r.dataset,l=null,a&&a.options&&a instanceof $o&&(l={visible:t.isDatasetVisible(s),index:s,fill:mr(a,s,i),chart:t,axis:r.controller.options.indexAxis,scale:r.vScale,line:a}),r.$filler=l,o.push(l);for(s=0;s<i;++s)l=o[s],l&&!1!==l.fill&&(l.fill=gr(o,s,n.propagate))},beforeDraw(t,e,n){const i="beforeDraw"===n.drawTime,o=t.getSortedVisibleDatasetMetas(),r=t.chartArea;for(let s=o.length-1;s>=0;--s){const e=o[s].$filler;e&&(e.line.updateControlPoints(r,e.axis),i&&e.fill&&_r(t.ctx,e,r))}},beforeDatasetsDraw(t,e,n){if("beforeDatasetsDraw"!==n.drawTime)return;const i=t.getSortedVisibleDatasetMetas();for(let o=i.length-1;o>=0;--o){const e=i[o].$filler;pr(e)&&_r(t.ctx,e,t.chartArea)}},beforeDatasetDraw(t,e,n){const i=e.meta.$filler;pr(i)&&"beforeDatasetDraw"===n.drawTime&&_r(t.ctx,i,t.chartArea)},defaults:{propagate:!0,drawTime:"beforeDatasetDraw"}};const kr=(t,e)=>{let{boxHeight:n=e,boxWidth:i=e}=t;return t.usePointStyle&&(n=Math.min(n,e),i=t.pointStyleWidth||Math.min(i,e)),{boxWidth:i,boxHeight:n,itemHeight:Math.max(e,n)}};class Mr extends Hi{constructor(t){super(),this._added=!1,this.legendHitBoxes=[],this._hoveredItem=null,this.doughnutMode=!1,this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this.legendItems=void 0,this.columnSizes=void 0,this.lineWidths=void 0,this.maxHeight=void 0,this.maxWidth=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.height=void 0,this.width=void 0,this._margins=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e,n){this.maxWidth=t,this.maxHeight=e,this._margins=n,this.setDimensions(),this.buildLabels(),this.fit()}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=this._margins.left,this.right=this.width):(this.height=this.maxHeight,this.top=this._margins.top,this.bottom=this.height)}buildLabels(){const t=this.options.labels||{};let e=$(t.generateLabels,[this.chart],this)||[];t.filter&&(e=e.filter((e=>t.filter(e,this.chart.data)))),t.sort&&(e=e.sort(((e,n)=>t.sort(e,n,this.chart.data)))),this.options.reverse&&e.reverse(),this.legendItems=e}fit(){const{options:t,ctx:e}=this;if(!t.display)return void(this.width=this.height=0);const n=t.labels,i=Re(n.font),o=i.size,r=this._computeTitleHeight(),{boxWidth:s,itemHeight:a}=kr(n,o);let l,c;e.font=i.string,this.isHorizontal()?(l=this.maxWidth,c=this._fitRows(r,o,s,a)+10):(c=this.maxHeight,l=this._fitCols(r,i,s,a)+10),this.width=Math.min(l,t.maxWidth||this.maxWidth),this.height=Math.min(c,t.maxHeight||this.maxHeight)}_fitRows(t,e,n,i){const{ctx:o,maxWidth:r,options:{labels:{padding:s}}}=this,a=this.legendHitBoxes=[],l=this.lineWidths=[0],c=i+s;let u=t;o.textAlign="left",o.textBaseline="middle";let h=-1,d=-c;return this.legendItems.forEach(((t,f)=>{const p=n+e/2+o.measureText(t.text).width;(0===f||l[l.length-1]+p+2*s>r)&&(u+=c,l[l.length-(f>0?0:1)]=0,d+=c,h++),a[f]={left:0,top:d,row:h,width:p,height:i},l[l.length-1]+=p+s})),u}_fitCols(t,e,n,i){const{ctx:o,maxHeight:r,options:{labels:{padding:s}}}=this,a=this.legendHitBoxes=[],l=this.columnSizes=[],c=r-t;let u=s,h=0,d=0,f=0,p=0;return this.legendItems.forEach(((t,r)=>{const{itemWidth:g,itemHeight:m}=function(t,e,n,i,o){const r=function(t,e,n,i){let o=t.text;o&&"string"!=typeof o&&(o=o.reduce(((t,e)=>t.length>e.length?t:e)));return e+n.size/2+i.measureText(o).width}(i,t,e,n),s=function(t,e,n){let i=t;"string"!=typeof e.text&&(i=Pr(e,n));return i}(o,i,e.lineHeight);return{itemWidth:r,itemHeight:s}}(n,e,o,t,i);r>0&&d+m+2*s>c&&(u+=h+s,l.push({width:h,height:d}),f+=h+s,p++,h=d=0),a[r]={left:f,top:d,col:p,width:g,height:m},h=Math.max(h,g),d+=m+s})),u+=h,l.push({width:h,height:d}),u}adjustHitBoxes(){if(!this.options.display)return;const t=this._computeTitleHeight(),{legendHitBoxes:e,options:{align:n,labels:{padding:i},rtl:o}}=this,r=bn(o,this.left,this.width);if(this.isHorizontal()){let o=0,s=zt(n,this.left+i,this.right-this.lineWidths[o]);for(const a of e)o!==a.row&&(o=a.row,s=zt(n,this.left+i,this.right-this.lineWidths[o])),a.top+=this.top+t+i,a.left=r.leftForLtr(r.x(s),a.width),s+=a.width+i}else{let o=0,s=zt(n,this.top+t+i,this.bottom-this.columnSizes[o].height);for(const a of e)a.col!==o&&(o=a.col,s=zt(n,this.top+t+i,this.bottom-this.columnSizes[o].height)),a.top=s,a.left+=this.left+i,a.left=r.leftForLtr(r.x(a.left),a.width),s+=a.height+i}}isHorizontal(){return"top"===this.options.position||"bottom"===this.options.position}draw(){if(this.options.display){const t=this.ctx;pe(t,this),this._draw(),ge(t)}}_draw(){const{options:t,columnSizes:e,lineWidths:n,ctx:i}=this,{align:o,labels:r}=t,s=se.color,a=bn(t.rtl,this.left,this.width),l=Re(r.font),{padding:c}=r,u=l.size,h=u/2;let d;this.drawTitle(),i.textAlign=a.textAlign("left"),i.textBaseline="middle",i.lineWidth=.5,i.font=l.string;const{boxWidth:f,boxHeight:p,itemHeight:g}=kr(r,u),m=this.isHorizontal(),b=this._computeTitleHeight();d=m?{x:zt(o,this.left+c,this.right-n[0]),y:this.top+c+b,line:0}:{x:this.left+c,y:zt(o,this.top+b+c,this.bottom-e[0].height),line:0},yn(this.ctx,t.textDirection);const y=g+c;this.legendItems.forEach(((x,v)=>{i.strokeStyle=x.fontColor,i.fillStyle=x.fontColor;const _=i.measureText(x.text).width,w=a.textAlign(x.textAlign||(x.textAlign=r.textAlign)),E=f+h+_;let O=d.x,C=d.y;a.setWidth(this.width),m?v>0&&O+E+c>this.right&&(C=d.y+=y,d.line++,O=d.x=zt(o,this.left+c,this.right-n[d.line])):v>0&&C+y>this.bottom&&(O=d.x=O+e[d.line].width+c,d.line++,C=d.y=zt(o,this.top+b+c,this.bottom-e[d.line].height));if(function(t,e,n){if(isNaN(f)||f<=0||isNaN(p)||p<0)return;i.save();const o=H(n.lineWidth,1);if(i.fillStyle=H(n.fillStyle,s),i.lineCap=H(n.lineCap,"butt"),i.lineDashOffset=H(n.lineDashOffset,0),i.lineJoin=H(n.lineJoin,"miter"),i.lineWidth=o,i.strokeStyle=H(n.strokeStyle,s),i.setLineDash(H(n.lineDash,[])),r.usePointStyle){const s={radius:p*Math.SQRT2/2,pointStyle:n.pointStyle,rotation:n.rotation,borderWidth:o},l=a.xPlus(t,f/2);de(i,s,l,e+h,r.pointStyleWidth&&f)}else{const r=e+Math.max((u-p)/2,0),s=a.leftForLtr(t,f),l=Me(n.borderRadius);i.beginPath(),Object.values(l).some((t=>0!==t))?_e(i,{x:s,y:r,w:f,h:p,radius:l}):i.rect(s,r,f,p),i.fill(),0!==o&&i.stroke()}i.restore()}(a.x(O),C,x),O=((t,e,n,i)=>t===(i?"left":"right")?n:"center"===t?(e+n)/2:e)(w,O+f+h,m?O+E:this.right,t.rtl),function(t,e,n){ve(i,n.text,t,e+g/2,l,{strikethrough:n.hidden,textAlign:a.textAlign(n.textAlign)})}(a.x(O),C,x),m)d.x+=E+c;else if("string"!=typeof x.text){const t=l.lineHeight;d.y+=Pr(x,t)+c}else d.y+=y})),xn(this.ctx,t.textDirection)}drawTitle(){const t=this.options,e=t.title,n=Re(e.font),i=Pe(e.padding);if(!e.display)return;const o=bn(t.rtl,this.left,this.width),r=this.ctx,s=e.position,a=n.size/2,l=i.top+a;let c,u=this.left,h=this.width;if(this.isHorizontal())h=Math.max(...this.lineWidths),c=this.top+l,u=zt(t.align,u,this.right-h);else{const e=this.columnSizes.reduce(((t,e)=>Math.max(t,e.height)),0);c=l+zt(t.align,this.top,this.bottom-e-t.labels.padding-this._computeTitleHeight())}const d=zt(s,u,u+h);r.textAlign=o.textAlign(Nt(s)),r.textBaseline="middle",r.strokeStyle=e.color,r.fillStyle=e.color,r.font=n.string,ve(r,e.text,d,c,n)}_computeTitleHeight(){const t=this.options.title,e=Re(t.font),n=Pe(t.padding);return t.display?e.lineHeight+n.height:0}_getLegendItemAt(t,e){let n,i,o;if(Pt(t,this.left,this.right)&&Pt(e,this.top,this.bottom))for(o=this.legendHitBoxes,n=0;n<o.length;++n)if(i=o[n],Pt(t,i.left,i.left+i.width)&&Pt(e,i.top,i.top+i.height))return this.legendItems[n];return null}handleEvent(t){const e=this.options;if(!function(t,e){if(("mousemove"===t||"mouseout"===t)&&(e.onHover||e.onLeave))return!0;if(e.onClick&&("click"===t||"mouseup"===t))return!0;return!1}(t.type,e))return;const n=this._getLegendItemAt(t.x,t.y);if("mousemove"===t.type||"mouseout"===t.type){const r=this._hoveredItem,s=(o=n,null!==(i=r)&&null!==o&&i.datasetIndex===o.datasetIndex&&i.index===o.index);r&&!s&&$(e.onLeave,[t,r,this],this),this._hoveredItem=n,n&&!s&&$(e.onHover,[t,n,this],this)}else n&&$(e.onClick,[t,n,this],this);var i,o}}function Pr(t,e){return e*(t.text?t.text.length:0)}var Rr={id:"legend",_element:Mr,start(t,e,n){const i=t.legend=new Mr({ctx:t.ctx,options:n,chart:t});Ci.configure(t,i,n),Ci.addBox(t,i)},stop(t){Ci.removeBox(t,t.legend),delete t.legend},beforeUpdate(t,e,n){const i=t.legend;Ci.configure(t,i,n),i.options=n},afterUpdate(t){const e=t.legend;e.buildLabels(),e.adjustHitBoxes()},afterEvent(t,e){e.replay||t.legend.handleEvent(e.event)},defaults:{display:!0,position:"top",align:"center",fullSize:!0,reverse:!1,weight:1e3,onClick(t,e,n){const i=e.datasetIndex,o=n.chart;o.isDatasetVisible(i)?(o.hide(i),e.hidden=!0):(o.show(i),e.hidden=!1)},onHover:null,onLeave:null,labels:{color:t=>t.chart.options.color,boxWidth:40,padding:10,generateLabels(t){const e=t.data.datasets,{labels:{usePointStyle:n,pointStyle:i,textAlign:o,color:r,useBorderRadius:s,borderRadius:a}}=t.legend.options;return t._getSortedDatasetMetas().map((t=>{const l=t.controller.getStyle(n?0:void 0),c=Pe(l.borderWidth);return{text:e[t.index].label,fillStyle:l.backgroundColor,fontColor:r,hidden:!t.visible,lineCap:l.borderCapStyle,lineDash:l.borderDash,lineDashOffset:l.borderDashOffset,lineJoin:l.borderJoinStyle,lineWidth:(c.width+c.height)/4,strokeStyle:l.borderColor,pointStyle:i||l.pointStyle,rotation:l.rotation,textAlign:o||l.textAlign,borderRadius:s&&(a||l.borderRadius),datasetIndex:t.index}}),this)}},title:{color:t=>t.chart.options.color,display:!1,position:"center",text:""}},descriptors:{_scriptable:t=>!t.startsWith("on"),labels:{_scriptable:t=>!["generateLabels","filter","sort"].includes(t)}}};class Tr extends Hi{constructor(t){super(),this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this._padding=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e){const n=this.options;if(this.left=0,this.top=0,!n.display)return void(this.width=this.height=this.right=this.bottom=0);this.width=this.right=t,this.height=this.bottom=e;const i=z(n.text)?n.text.length:1;this._padding=Pe(n.padding);const o=i*Re(n.font).lineHeight+this._padding.height;this.isHorizontal()?this.height=o:this.width=o}isHorizontal(){const t=this.options.position;return"top"===t||"bottom"===t}_drawArgs(t){const{top:e,left:n,bottom:i,right:o,options:r}=this,s=r.align;let a,l,c,u=0;return this.isHorizontal()?(l=zt(s,n,o),c=e+t,a=o-n):("left"===r.position?(l=n+t,c=zt(s,i,e),u=-.5*st):(l=o-t,c=zt(s,e,i),u=.5*st),a=i-e),{titleX:l,titleY:c,maxWidth:a,rotation:u}}draw(){const t=this.ctx,e=this.options;if(!e.display)return;const n=Re(e.font),i=n.lineHeight/2+this._padding.top,{titleX:o,titleY:r,maxWidth:s,rotation:a}=this._drawArgs(i);ve(t,e.text,0,0,n,{color:e.color,maxWidth:s,rotation:a,textAlign:Nt(e.align),textBaseline:"middle",translation:[o,r]})}}var Dr={id:"title",_element:Tr,start(t,e,n){!function(t,e){const n=new Tr({ctx:t.ctx,options:e,chart:t});Ci.configure(t,n,e),Ci.addBox(t,n),t.titleBlock=n}(t,n)},stop(t){const e=t.titleBlock;Ci.removeBox(t,e),delete t.titleBlock},beforeUpdate(t,e,n){const i=t.titleBlock;Ci.configure(t,i,n),i.options=n},defaults:{align:"center",display:!1,font:{weight:"bold"},fullSize:!0,padding:10,position:"top",text:"",weight:2e3},defaultRoutes:{color:"color"},descriptors:{_scriptable:!0,_indexable:!1}};const Ir=new WeakMap;var Ar={id:"subtitle",start(t,e,n){const i=new Tr({ctx:t.ctx,options:n,chart:t});Ci.configure(t,i,n),Ci.addBox(t,i),Ir.set(t,i)},stop(t){Ci.removeBox(t,Ir.get(t)),Ir.delete(t)},beforeUpdate(t,e,n){const i=Ir.get(t);Ci.configure(t,i,n),i.options=n},defaults:{align:"center",display:!1,font:{weight:"normal"},fullSize:!0,padding:0,position:"top",text:"",weight:1500},defaultRoutes:{color:"color"},descriptors:{_scriptable:!0,_indexable:!1}};const jr={average(t){if(!t.length)return!1;let e,n,i=0,o=0,r=0;for(e=0,n=t.length;e<n;++e){const n=t[e].element;if(n&&n.hasValue()){const t=n.tooltipPosition();i+=t.x,o+=t.y,++r}}return{x:i/r,y:o/r}},nearest(t,e){if(!t.length)return!1;let n,i,o,r=e.x,s=e.y,a=Number.POSITIVE_INFINITY;for(n=0,i=t.length;n<i;++n){const i=t[n].element;if(i&&i.hasValue()){const t=Ot(e,i.getCenterPoint());t<a&&(a=t,o=i)}}if(o){const t=o.tooltipPosition();r=t.x,s=t.y}return{x:r,y:s}}};function Fr(t,e){return e&&(z(e)?Array.prototype.push.apply(t,e):t.push(e)),t}function Lr(t){return("string"==typeof t||t instanceof String)&&t.indexOf("\n")>-1?t.split("\n"):t}function Nr(t,e){const{element:n,datasetIndex:i,index:o}=e,r=t.getDatasetMeta(i).controller,{label:s,value:a}=r.getLabelAndValue(o);return{chart:t,label:s,parsed:r.getParsed(o),raw:t.data.datasets[i].data[o],formattedValue:a,dataset:r.getDataset(),dataIndex:o,datasetIndex:i,element:n}}function zr(t,e){const n=t.chart.ctx,{body:i,footer:o,title:r}=t,{boxWidth:s,boxHeight:a}=e,l=Re(e.bodyFont),c=Re(e.titleFont),u=Re(e.footerFont),h=r.length,d=o.length,f=i.length,p=Pe(e.padding);let g=p.height,m=0,b=i.reduce(((t,e)=>t+e.before.length+e.lines.length+e.after.length),0);if(b+=t.beforeBody.length+t.afterBody.length,h&&(g+=h*c.lineHeight+(h-1)*e.titleSpacing+e.titleMarginBottom),b){g+=f*(e.displayColors?Math.max(a,l.lineHeight):l.lineHeight)+(b-f)*l.lineHeight+(b-1)*e.bodySpacing}d&&(g+=e.footerMarginTop+d*u.lineHeight+(d-1)*e.footerSpacing);let y=0;const x=function(t){m=Math.max(m,n.measureText(t).width+y)};return n.save(),n.font=c.string,q(t.title,x),n.font=l.string,q(t.beforeBody.concat(t.afterBody),x),y=e.displayColors?s+2+e.boxPadding:0,q(i,(t=>{q(t.before,x),q(t.lines,x),q(t.after,x)})),y=0,n.font=u.string,q(t.footer,x),n.restore(),m+=p.width,{width:m,height:g}}function Br(t,e,n,i){const{x:o,width:r}=n,{width:s,chartArea:{left:a,right:l}}=t;let c="center";return"center"===i?c=o<=(a+l)/2?"left":"right":o<=r/2?c="left":o>=s-r/2&&(c="right"),function(t,e,n,i){const{x:o,width:r}=i,s=n.caretSize+n.caretPadding;return"left"===t&&o+r+s>e.width||"right"===t&&o-r-s<0||void 0}(c,t,e,n)&&(c="center"),c}function Wr(t,e,n){const i=n.yAlign||e.yAlign||function(t,e){const{y:n,height:i}=e;return n<i/2?"top":n>t.height-i/2?"bottom":"center"}(t,n);return{xAlign:n.xAlign||e.xAlign||Br(t,e,n,i),yAlign:i}}function Vr(t,e,n,i){const{caretSize:o,caretPadding:r,cornerRadius:s}=t,{xAlign:a,yAlign:l}=n,c=o+r,{topLeft:u,topRight:h,bottomLeft:d,bottomRight:f}=Me(s);let p=function(t,e){let{x:n,width:i}=t;return"right"===e?n-=i:"center"===e&&(n-=i/2),n}(e,a);const g=function(t,e,n){let{y:i,height:o}=t;return"top"===e?i+=n:i-="bottom"===e?o+n:o/2,i}(e,l,c);return"center"===l?"left"===a?p+=c:"right"===a&&(p-=c):"left"===a?p-=Math.max(u,d)+o:"right"===a&&(p+=Math.max(h,f)+o),{x:Mt(p,0,i.width-e.width),y:Mt(g,0,i.height-e.height)}}function Hr(t,e,n){const i=Pe(n.padding);return"center"===e?t.x+t.width/2:"right"===e?t.x+t.width-i.right:t.x+i.left}function Ur(t){return Fr([],Lr(t))}function $r(t,e){const n=e&&e.dataset&&e.dataset.tooltip&&e.dataset.tooltip.callbacks;return n?t.override(n):t}const qr={beforeTitle:F,title(t){if(t.length>0){const e=t[0],n=e.chart.data.labels,i=n?n.length:0;if(this&&this.options&&"dataset"===this.options.mode)return e.dataset.label||"";if(e.label)return e.label;if(i>0&&e.dataIndex<i)return n[e.dataIndex]}return""},afterTitle:F,beforeBody:F,beforeLabel:F,label(t){if(this&&this.options&&"dataset"===this.options.mode)return t.label+": "+t.formattedValue||t.formattedValue;let e=t.dataset.label||"";e&&(e+=": ");const n=t.formattedValue;return N(n)||(e+=n),e},labelColor(t){const e=t.chart.getDatasetMeta(t.datasetIndex).controller.getStyle(t.dataIndex);return{borderColor:e.borderColor,backgroundColor:e.backgroundColor,borderWidth:e.borderWidth,borderDash:e.borderDash,borderDashOffset:e.borderDashOffset,borderRadius:0}},labelTextColor(){return this.options.bodyColor},labelPointStyle(t){const e=t.chart.getDatasetMeta(t.datasetIndex).controller.getStyle(t.dataIndex);return{pointStyle:e.pointStyle,rotation:e.rotation}},afterLabel:F,afterBody:F,beforeFooter:F,footer:F,afterFooter:F};function Yr(t,e,n,i){const o=t[e].call(n,i);return void 0===o?qr[e].call(n,i):o}class Kr extends Hi{static positioners=jr;constructor(t){super(),this.opacity=0,this._active=[],this._eventPosition=void 0,this._size=void 0,this._cachedAnimations=void 0,this._tooltipItems=[],this.$animations=void 0,this.$context=void 0,this.chart=t.chart,this.options=t.options,this.dataPoints=void 0,this.title=void 0,this.beforeBody=void 0,this.body=void 0,this.afterBody=void 0,this.footer=void 0,this.xAlign=void 0,this.yAlign=void 0,this.x=void 0,this.y=void 0,this.height=void 0,this.width=void 0,this.caretX=void 0,this.caretY=void 0,this.labelColors=void 0,this.labelPointStyles=void 0,this.labelTextColors=void 0}initialize(t){this.options=t,this._cachedAnimations=void 0,this.$context=void 0}_resolveAnimations(){const t=this._cachedAnimations;if(t)return t;const e=this.chart,n=this.options.setContext(this.getContext()),i=n.enabled&&e.options.animation&&n.animations,o=new Dn(this.chart,i);return i._cacheable&&(this._cachedAnimations=Object.freeze(o)),o}getContext(){return this.$context||(this.$context=(t=this.chart.getContext(),e=this,n=this._tooltipItems,De(t,{tooltip:e,tooltipItems:n,type:"tooltip"})));var t,e,n}getTitle(t,e){const{callbacks:n}=e,i=Yr(n,"beforeTitle",this,t),o=Yr(n,"title",this,t),r=Yr(n,"afterTitle",this,t);let s=[];return s=Fr(s,Lr(i)),s=Fr(s,Lr(o)),s=Fr(s,Lr(r)),s}getBeforeBody(t,e){return Ur(Yr(e.callbacks,"beforeBody",this,t))}getBody(t,e){const{callbacks:n}=e,i=[];return q(t,(t=>{const e={before:[],lines:[],after:[]},o=$r(n,t);Fr(e.before,Lr(Yr(o,"beforeLabel",this,t))),Fr(e.lines,Yr(o,"label",this,t)),Fr(e.after,Lr(Yr(o,"afterLabel",this,t))),i.push(e)})),i}getAfterBody(t,e){return Ur(Yr(e.callbacks,"afterBody",this,t))}getFooter(t,e){const{callbacks:n}=e,i=Yr(n,"beforeFooter",this,t),o=Yr(n,"footer",this,t),r=Yr(n,"afterFooter",this,t);let s=[];return s=Fr(s,Lr(i)),s=Fr(s,Lr(o)),s=Fr(s,Lr(r)),s}_createItems(t){const e=this._active,n=this.chart.data,i=[],o=[],r=[];let s,a,l=[];for(s=0,a=e.length;s<a;++s)l.push(Nr(this.chart,e[s]));return t.filter&&(l=l.filter(((e,i,o)=>t.filter(e,i,o,n)))),t.itemSort&&(l=l.sort(((e,i)=>t.itemSort(e,i,n)))),q(l,(e=>{const n=$r(t.callbacks,e);i.push(Yr(n,"labelColor",this,e)),o.push(Yr(n,"labelPointStyle",this,e)),r.push(Yr(n,"labelTextColor",this,e))})),this.labelColors=i,this.labelPointStyles=o,this.labelTextColors=r,this.dataPoints=l,l}update(t,e){const n=this.options.setContext(this.getContext()),i=this._active;let o,r=[];if(i.length){const t=jr[n.position].call(this,i,this._eventPosition);r=this._createItems(n),this.title=this.getTitle(r,n),this.beforeBody=this.getBeforeBody(r,n),this.body=this.getBody(r,n),this.afterBody=this.getAfterBody(r,n),this.footer=this.getFooter(r,n);const e=this._size=zr(this,n),s=Object.assign({},t,e),a=Wr(this.chart,n,s),l=Vr(n,s,a,this.chart);this.xAlign=a.xAlign,this.yAlign=a.yAlign,o={opacity:1,x:l.x,y:l.y,width:e.width,height:e.height,caretX:t.x,caretY:t.y}}else 0!==this.opacity&&(o={opacity:0});this._tooltipItems=r,this.$context=void 0,o&&this._resolveAnimations().update(this,o),t&&n.external&&n.external.call(this,{chart:this.chart,tooltip:this,replay:e})}drawCaret(t,e,n,i){const o=this.getCaretPosition(t,n,i);e.lineTo(o.x1,o.y1),e.lineTo(o.x2,o.y2),e.lineTo(o.x3,o.y3)}getCaretPosition(t,e,n){const{xAlign:i,yAlign:o}=this,{caretSize:r,cornerRadius:s}=n,{topLeft:a,topRight:l,bottomLeft:c,bottomRight:u}=Me(s),{x:h,y:d}=t,{width:f,height:p}=e;let g,m,b,y,x,v;return"center"===o?(x=d+p/2,"left"===i?(g=h,m=g-r,y=x+r,v=x-r):(g=h+f,m=g+r,y=x-r,v=x+r),b=g):(m="left"===i?h+Math.max(a,c)+r:"right"===i?h+f-Math.max(l,u)-r:this.caretX,"top"===o?(y=d,x=y-r,g=m-r,b=m+r):(y=d+p,x=y+r,g=m+r,b=m-r),v=y),{x1:g,x2:m,x3:b,y1:y,y2:x,y3:v}}drawTitle(t,e,n){const i=this.title,o=i.length;let r,s,a;if(o){const l=bn(n.rtl,this.x,this.width);for(t.x=Hr(this,n.titleAlign,n),e.textAlign=l.textAlign(n.titleAlign),e.textBaseline="middle",r=Re(n.titleFont),s=n.titleSpacing,e.fillStyle=n.titleColor,e.font=r.string,a=0;a<o;++a)e.fillText(i[a],l.x(t.x),t.y+r.lineHeight/2),t.y+=r.lineHeight+s,a+1===o&&(t.y+=n.titleMarginBottom-s)}}_drawColorBox(t,e,n,i,o){const r=this.labelColors[n],s=this.labelPointStyles[n],{boxHeight:a,boxWidth:l}=o,c=Re(o.bodyFont),u=Hr(this,"left",o),h=i.x(u),d=a<c.lineHeight?(c.lineHeight-a)/2:0,f=e.y+d;if(o.usePointStyle){const e={radius:Math.min(l,a)/2,pointStyle:s.pointStyle,rotation:s.rotation,borderWidth:1},n=i.leftForLtr(h,l)+l/2,c=f+a/2;t.strokeStyle=o.multiKeyBackground,t.fillStyle=o.multiKeyBackground,he(t,e,n,c),t.strokeStyle=r.borderColor,t.fillStyle=r.backgroundColor,he(t,e,n,c)}else{t.lineWidth=B(r.borderWidth)?Math.max(...Object.values(r.borderWidth)):r.borderWidth||1,t.strokeStyle=r.borderColor,t.setLineDash(r.borderDash||[]),t.lineDashOffset=r.borderDashOffset||0;const e=i.leftForLtr(h,l),n=i.leftForLtr(i.xPlus(h,1),l-2),s=Me(r.borderRadius);Object.values(s).some((t=>0!==t))?(t.beginPath(),t.fillStyle=o.multiKeyBackground,_e(t,{x:e,y:f,w:l,h:a,radius:s}),t.fill(),t.stroke(),t.fillStyle=r.backgroundColor,t.beginPath(),_e(t,{x:n,y:f+1,w:l-2,h:a-2,radius:s}),t.fill()):(t.fillStyle=o.multiKeyBackground,t.fillRect(e,f,l,a),t.strokeRect(e,f,l,a),t.fillStyle=r.backgroundColor,t.fillRect(n,f+1,l-2,a-2))}t.fillStyle=this.labelTextColors[n]}drawBody(t,e,n){const{body:i}=this,{bodySpacing:o,bodyAlign:r,displayColors:s,boxHeight:a,boxWidth:l,boxPadding:c}=n,u=Re(n.bodyFont);let h=u.lineHeight,d=0;const f=bn(n.rtl,this.x,this.width),p=function(n){e.fillText(n,f.x(t.x+d),t.y+h/2),t.y+=h+o},g=f.textAlign(r);let m,b,y,x,v,_,w;for(e.textAlign=r,e.textBaseline="middle",e.font=u.string,t.x=Hr(this,g,n),e.fillStyle=n.bodyColor,q(this.beforeBody,p),d=s&&"right"!==g?"center"===r?l/2+c:l+2+c:0,x=0,_=i.length;x<_;++x){for(m=i[x],b=this.labelTextColors[x],e.fillStyle=b,q(m.before,p),y=m.lines,s&&y.length&&(this._drawColorBox(e,t,x,f,n),h=Math.max(u.lineHeight,a)),v=0,w=y.length;v<w;++v)p(y[v]),h=u.lineHeight;q(m.after,p)}d=0,h=u.lineHeight,q(this.afterBody,p),t.y-=o}drawFooter(t,e,n){const i=this.footer,o=i.length;let r,s;if(o){const a=bn(n.rtl,this.x,this.width);for(t.x=Hr(this,n.footerAlign,n),t.y+=n.footerMarginTop,e.textAlign=a.textAlign(n.footerAlign),e.textBaseline="middle",r=Re(n.footerFont),e.fillStyle=n.footerColor,e.font=r.string,s=0;s<o;++s)e.fillText(i[s],a.x(t.x),t.y+r.lineHeight/2),t.y+=r.lineHeight+n.footerSpacing}}drawBackground(t,e,n,i){const{xAlign:o,yAlign:r}=this,{x:s,y:a}=t,{width:l,height:c}=n,{topLeft:u,topRight:h,bottomLeft:d,bottomRight:f}=Me(i.cornerRadius);e.fillStyle=i.backgroundColor,e.strokeStyle=i.borderColor,e.lineWidth=i.borderWidth,e.beginPath(),e.moveTo(s+u,a),"top"===r&&this.drawCaret(t,e,n,i),e.lineTo(s+l-h,a),e.quadraticCurveTo(s+l,a,s+l,a+h),"center"===r&&"right"===o&&this.drawCaret(t,e,n,i),e.lineTo(s+l,a+c-f),e.quadraticCurveTo(s+l,a+c,s+l-f,a+c),"bottom"===r&&this.drawCaret(t,e,n,i),e.lineTo(s+d,a+c),e.quadraticCurveTo(s,a+c,s,a+c-d),"center"===r&&"left"===o&&this.drawCaret(t,e,n,i),e.lineTo(s,a+u),e.quadraticCurveTo(s,a,s+u,a),e.closePath(),e.fill(),i.borderWidth>0&&e.stroke()}_updateAnimationTarget(t){const e=this.chart,n=this.$animations,i=n&&n.x,o=n&&n.y;if(i||o){const n=jr[t.position].call(this,this._active,this._eventPosition);if(!n)return;const r=this._size=zr(this,t),s=Object.assign({},n,this._size),a=Wr(e,t,s),l=Vr(t,s,a,e);i._to===l.x&&o._to===l.y||(this.xAlign=a.xAlign,this.yAlign=a.yAlign,this.width=r.width,this.height=r.height,this.caretX=n.x,this.caretY=n.y,this._resolveAnimations().update(this,l))}}_willRender(){return!!this.opacity}draw(t){const e=this.options.setContext(this.getContext());let n=this.opacity;if(!n)return;this._updateAnimationTarget(e);const i={width:this.width,height:this.height},o={x:this.x,y:this.y};n=Math.abs(n)<.001?0:n;const r=Pe(e.padding),s=this.title.length||this.beforeBody.length||this.body.length||this.afterBody.length||this.footer.length;e.enabled&&s&&(t.save(),t.globalAlpha=n,this.drawBackground(o,t,i,e),yn(t,e.textDirection),o.y+=r.top,this.drawTitle(o,t,e),this.drawBody(o,t,e),this.drawFooter(o,t,e),xn(t,e.textDirection),t.restore())}getActiveElements(){return this._active||[]}setActiveElements(t,e){const n=this._active,i=t.map((({datasetIndex:t,index:e})=>{const n=this.chart.getDatasetMeta(t);if(!n)throw new Error("Cannot find a dataset at index "+t);return{datasetIndex:t,element:n.data[e],index:e}})),o=!Y(n,i),r=this._positionChanged(i,e);(o||r)&&(this._active=i,this._eventPosition=e,this._ignoreReplayEvents=!0,this.update(!0))}handleEvent(t,e,n=!0){if(e&&this._ignoreReplayEvents)return!1;this._ignoreReplayEvents=!1;const i=this.options,o=this._active||[],r=this._getActiveElements(t,o,e,n),s=this._positionChanged(r,t),a=e||!Y(r,o)||s;return a&&(this._active=r,(i.enabled||i.external)&&(this._eventPosition={x:t.x,y:t.y},this.update(!0,e))),a}_getActiveElements(t,e,n,i){const o=this.options;if("mouseout"===t.type)return[];if(!i)return e.filter((t=>this.chart.data.datasets[t.datasetIndex]&&void 0!==this.chart.getDatasetMeta(t.datasetIndex).controller.getParsed(t.index)));const r=this.chart.getElementsAtEventForMode(t,o.mode,o,n);return o.reverse&&r.reverse(),r}_positionChanged(t,e){const{caretX:n,caretY:i,options:o}=this,r=jr[o.position].call(this,t,e);return!1!==r&&(n!==r.x||i!==r.y)}}var Xr={id:"tooltip",_element:Kr,positioners:jr,afterInit(t,e,n){n&&(t.tooltip=new Kr({chart:t,options:n}))},beforeUpdate(t,e,n){t.tooltip&&t.tooltip.initialize(n)},reset(t,e,n){t.tooltip&&t.tooltip.initialize(n)},afterDraw(t){const e=t.tooltip;if(e&&e._willRender()){const n={tooltip:e};if(!1===t.notifyPlugins("beforeTooltipDraw",{...n,cancelable:!0}))return;e.draw(t.ctx),t.notifyPlugins("afterTooltipDraw",n)}},afterEvent(t,e){if(t.tooltip){const n=e.replay;t.tooltip.handleEvent(e.event,n,e.inChartArea)&&(e.changed=!0)}},defaults:{enabled:!0,external:null,position:"average",backgroundColor:"rgba(0,0,0,0.8)",titleColor:"#fff",titleFont:{weight:"bold"},titleSpacing:2,titleMarginBottom:6,titleAlign:"left",bodyColor:"#fff",bodySpacing:2,bodyFont:{},bodyAlign:"left",footerColor:"#fff",footerSpacing:2,footerMarginTop:6,footerFont:{weight:"bold"},footerAlign:"left",padding:6,caretPadding:2,caretSize:5,cornerRadius:6,boxHeight:(t,e)=>e.bodyFont.size,boxWidth:(t,e)=>e.bodyFont.size,multiKeyBackground:"#fff",displayColors:!0,boxPadding:0,borderColor:"rgba(0,0,0,0)",borderWidth:0,animation:{duration:400,easing:"easeOutQuart"},animations:{numbers:{type:"number",properties:["x","y","width","height","caretX","caretY"]},opacity:{easing:"linear",duration:200}},callbacks:qr},defaultRoutes:{bodyFont:"font",footerFont:"font",titleFont:"font"},descriptors:{_scriptable:t=>"filter"!==t&&"itemSort"!==t&&"external"!==t,_indexable:!1,callbacks:{_scriptable:!1,_indexable:!1},animation:{_fallback:!1},animations:{_fallback:"animation"}},additionalOptionScopes:["interaction"]},Gr=Object.freeze({__proto__:null,Colors:sr,Decimation:cr,Filler:Sr,Legend:Rr,SubTitle:Ar,Title:Dr,Tooltip:Xr});function Zr(t,e,n,i){const o=t.indexOf(e);if(-1===o)return((t,e,n,i)=>("string"==typeof e?(n=t.push(e)-1,i.unshift({index:n,label:e})):isNaN(e)&&(n=null),n))(t,e,n,i);return o!==t.lastIndexOf(e)?n:o}function Jr(t){const e=this.getLabels();return t>=0&&t<e.length?e[t]:t}function Qr(t,e){const n=[],{bounds:i,step:o,min:r,max:s,precision:a,count:l,maxTicks:c,maxDigits:u,includeBounds:h}=t,d=o||1,f=c-1,{min:p,max:g}=e,m=!N(r),b=!N(s),y=!N(l),x=(g-p)/(u+1);let v,_,w,E,O=bt((g-p)/f/d)*d;if(O<1e-14&&!m&&!b)return[{value:p},{value:g}];E=Math.ceil(g/O)-Math.floor(p/O),E>f&&(O=bt(E*O/f/d)*d),N(a)||(v=Math.pow(10,a),O=Math.ceil(O*v)/v),"ticks"===i?(_=Math.floor(p/O)*O,w=Math.ceil(g/O)*O):(_=p,w=g),m&&b&&o&&function(t,e){const n=Math.round(t);return n-e<=t&&n+e>=t}((s-r)/o,O/1e3)?(E=Math.round(Math.min((s-r)/O,c)),O=(s-r)/E,_=r,w=s):y?(_=m?r:_,w=b?s:w,E=l-1,O=(w-_)/E):(E=(w-_)/O,E=mt(E,Math.round(E),O/1e3)?Math.round(E):Math.ceil(E));const C=Math.max(wt(O),wt(_));v=Math.pow(10,N(a)?C:a),_=Math.round(_*v)/v,w=Math.round(w*v)/v;let S=0;for(m&&(h&&_!==r?(n.push({value:r}),_<r&&S++,mt(Math.round((_+S*O)*v)/v,r,ts(r,x,t))&&S++):_<r&&S++);S<E;++S){const t=Math.round((_+S*O)*v)/v;if(b&&t>s)break;n.push({value:t})}return b&&h&&w!==s?n.length&&mt(n[n.length-1].value,s,ts(s,x,t))?n[n.length-1].value=s:n.push({value:s}):b&&w!==s||n.push({value:w}),n}function ts(t,e,{horizontal:n,minRotation:i}){const o=vt(i),r=(n?Math.sin(o):Math.cos(o))||.001,s=.75*e*(""+t).length;return Math.min(e/r,s)}class es extends Qi{constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._endValue=void 0,this._valueRange=0}parse(t,e){return N(t)||("number"==typeof t||t instanceof Number)&&!isFinite(+t)?null:+t}handleTickRangeOptions(){const{beginAtZero:t}=this.options,{minDefined:e,maxDefined:n}=this.getUserBounds();let{min:i,max:o}=this;const r=t=>i=e?i:t,s=t=>o=n?o:t;if(t){const t=gt(i),e=gt(o);t<0&&e<0?s(0):t>0&&e>0&&r(0)}if(i===o){let e=0===o?1:Math.abs(.05*o);s(o+e),t||r(i-e)}this.min=i,this.max=o}getTickLimit(){const t=this.options.ticks;let e,{maxTicksLimit:n,stepSize:i}=t;return i?(e=Math.ceil(this.max/i)-Math.floor(this.min/i)+1,e>1e3&&(console.warn(`scales.${this.id}.ticks.stepSize: ${i} would result generating up to ${e} ticks. Limiting to 1000.`),e=1e3)):(e=this.computeTickLimit(),n=n||11),n&&(e=Math.min(n,e)),e}computeTickLimit(){return Number.POSITIVE_INFINITY}buildTicks(){const t=this.options,e=t.ticks;let n=this.getTickLimit();n=Math.max(2,n);const i=Qr({maxTicks:n,bounds:t.bounds,min:t.min,max:t.max,precision:e.precision,step:e.stepSize,count:e.count,maxDigits:this._maxDigits(),horizontal:this.isHorizontal(),minRotation:e.minRotation||0,includeBounds:!1!==e.includeBounds},this._range||this);return"ticks"===t.bounds&&xt(i,this,"value"),t.reverse?(i.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),i}configure(){const t=this.ticks;let e=this.min,n=this.max;if(super.configure(),this.options.offset&&t.length){const i=(n-e)/Math.max(t.length-1,1)/2;e-=i,n+=i}this._startValue=e,this._endValue=n,this._valueRange=n-e}getLabelForValue(t){return Jt(t,this.chart.options.locale,this.options.ticks.format)}}class ns extends es{static id="linear";static defaults={ticks:{callback:te.formatters.numeric}};determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=W(t)?t:0,this.max=W(e)?e:1,this.handleTickRangeOptions()}computeTickLimit(){const t=this.isHorizontal(),e=t?this.width:this.height,n=vt(this.options.ticks.minRotation),i=(t?Math.sin(n):Math.cos(n))||.001,o=this._resolveTickFontOptions(0);return Math.ceil(e/Math.min(40,o.lineHeight/i))}getPixelForValue(t){return null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getValueForPixel(t){return this._startValue+this.getDecimalForPixel(t)*this._valueRange}}const is=t=>Math.floor(pt(t)),os=(t,e)=>Math.pow(10,is(t)+e);function rs(t){return 1===t/Math.pow(10,is(t))}function ss(t,e,n){const i=Math.pow(10,n),o=Math.floor(t/i);return Math.ceil(e/i)-o}function as(t,{min:e,max:n}){e=V(t.min,e);const i=[],o=is(e);let r=function(t,e){let n=is(e-t);for(;ss(t,e,n)>10;)n++;for(;ss(t,e,n)<10;)n--;return Math.min(n,is(t))}(e,n),s=r<0?Math.pow(10,Math.abs(r)):1;const a=Math.pow(10,r),l=o>r?Math.pow(10,o):0,c=Math.round((e-l)*s)/s,u=Math.floor((e-l)/a/10)*a*10;let h=Math.floor((c-u)/Math.pow(10,r)),d=V(t.min,Math.round((l+u+h*Math.pow(10,r))*s)/s);for(;d<n;)i.push({value:d,major:rs(d),significand:h}),h>=10?h=h<15?15:20:h++,h>=20&&(r++,h=2,s=r>=0?1:s),d=Math.round((l+u+h*Math.pow(10,r))*s)/s;const f=V(t.max,d);return i.push({value:f,major:rs(f),significand:h}),i}class ls extends Qi{static id="logarithmic";static defaults={ticks:{callback:te.formatters.logarithmic,major:{enabled:!0}}};constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._valueRange=0}parse(t,e){const n=es.prototype.parse.apply(this,[t,e]);if(0!==n)return W(n)&&n>0?n:null;this._zero=!0}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=W(t)?Math.max(0,t):null,this.max=W(e)?Math.max(0,e):null,this.options.beginAtZero&&(this._zero=!0),this._zero&&this.min!==this._suggestedMin&&!W(this._userMin)&&(this.min=t===os(this.min,0)?os(this.min,-1):os(this.min,0)),this.handleTickRangeOptions()}handleTickRangeOptions(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let n=this.min,i=this.max;const o=e=>n=t?n:e,r=t=>i=e?i:t;n===i&&(n<=0?(o(1),r(10)):(o(os(n,-1)),r(os(i,1)))),n<=0&&o(os(i,-1)),i<=0&&r(os(n,1)),this.min=n,this.max=i}buildTicks(){const t=this.options,e=as({min:this._userMin,max:this._userMax},this);return"ticks"===t.bounds&&xt(e,this,"value"),t.reverse?(e.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),e}getLabelForValue(t){return void 0===t?"0":Jt(t,this.chart.options.locale,this.options.ticks.format)}configure(){const t=this.min;super.configure(),this._startValue=pt(t),this._valueRange=pt(this.max)-pt(t)}getPixelForValue(t){return void 0!==t&&0!==t||(t=this.min),null===t||isNaN(t)?NaN:this.getPixelForDecimal(t===this.min?0:(pt(t)-this._startValue)/this._valueRange)}getValueForPixel(t){const e=this.getDecimalForPixel(t);return Math.pow(10,this._startValue+e*this._valueRange)}}function cs(t){const e=t.ticks;if(e.display&&t.display){const t=Pe(e.backdropPadding);return H(e.font&&e.font.size,se.font.size)+t.height}return 0}function us(t,e,n,i,o){return t===i||t===o?{start:e-n/2,end:e+n/2}:t<i||t>o?{start:e-n,end:e}:{start:e,end:e+n}}function hs(t){const e={l:t.left+t._padding.left,r:t.right-t._padding.right,t:t.top+t._padding.top,b:t.bottom-t._padding.bottom},n=Object.assign({},e),i=[],o=[],r=t._pointLabels.length,s=t.options.pointLabels,a=s.centerPointLabels?st/r:0;for(let h=0;h<r;h++){const r=s.setContext(t.getPointLabelContext(h));o[h]=r.padding;const d=t.getPointPosition(h,t.drawingArea+o[h],a),f=Re(r.font),p=(l=t.ctx,c=f,u=z(u=t._pointLabels[h])?u:[u],{w:le(l,c.string,u),h:u.length*c.lineHeight});i[h]=p;const g=St(t.getIndexAngle(h)+a),m=Math.round(_t(g));ds(n,e,g,us(m,d.x,p.w,0,180),us(m,d.y,p.h,90,270))}var l,c,u;t.setCenterPoint(e.l-n.l,n.r-e.r,e.t-n.t,n.b-e.b),t._pointLabelItems=function(t,e,n){const i=[],o=t._pointLabels.length,r=t.options,{centerPointLabels:s,display:a}=r.pointLabels,l={extra:cs(r)/2,additionalAngle:s?st/o:0};let c;for(let u=0;u<o;u++){l.padding=n[u],l.size=e[u];const o=fs(t,u,l);i.push(o),"auto"===a&&(o.visible=ps(o,c),o.visible&&(c=o))}return i}(t,i,o)}function ds(t,e,n,i,o){const r=Math.abs(Math.sin(n)),s=Math.abs(Math.cos(n));let a=0,l=0;i.start<e.l?(a=(e.l-i.start)/r,t.l=Math.min(t.l,e.l-a)):i.end>e.r&&(a=(i.end-e.r)/r,t.r=Math.max(t.r,e.r+a)),o.start<e.t?(l=(e.t-o.start)/s,t.t=Math.min(t.t,e.t-l)):o.end>e.b&&(l=(o.end-e.b)/s,t.b=Math.max(t.b,e.b+l))}function fs(t,e,n){const i=t.drawingArea,{extra:o,additionalAngle:r,padding:s,size:a}=n,l=t.getPointPosition(e,i+o+s,r),c=Math.round(_t(St(l.angle+ht))),u=function(t,e,n){90===n||270===n?t-=e/2:(n>270||n<90)&&(t-=e);return t}(l.y,a.h,c),h=function(t){if(0===t||180===t)return"center";if(t<180)return"left";return"right"}(c),d=function(t,e,n){"right"===n?t-=e:"center"===n&&(t-=e/2);return t}(l.x,a.w,h);return{visible:!0,x:l.x,y:u,textAlign:h,left:d,top:u,right:d+a.w,bottom:u+a.h}}function ps(t,e){if(!e)return!0;const{left:n,top:i,right:o,bottom:r}=t;return!(fe({x:n,y:i},e)||fe({x:n,y:r},e)||fe({x:o,y:i},e)||fe({x:o,y:r},e))}function gs(t,e,n){const{left:i,top:o,right:r,bottom:s}=n,{backdropColor:a}=e;if(!N(a)){const n=Me(e.borderRadius),l=Pe(e.backdropPadding);t.fillStyle=a;const c=i-l.left,u=o-l.top,h=r-i+l.width,d=s-o+l.height;Object.values(n).some((t=>0!==t))?(t.beginPath(),_e(t,{x:c,y:u,w:h,h:d,radius:n}),t.fill()):t.fillRect(c,u,h,d)}}function ms(t,e,n,i){const{ctx:o}=t;if(n)o.arc(t.xCenter,t.yCenter,e,0,at);else{let n=t.getPointPosition(0,e);o.moveTo(n.x,n.y);for(let r=1;r<i;r++)n=t.getPointPosition(r,e),o.lineTo(n.x,n.y)}}class bs extends es{static id="radialLinear";static defaults={display:!0,animate:!0,position:"chartArea",angleLines:{display:!0,lineWidth:1,borderDash:[],borderDashOffset:0},grid:{circular:!1},startAngle:0,ticks:{showLabelBackdrop:!0,callback:te.formatters.numeric},pointLabels:{backdropColor:void 0,backdropPadding:2,display:!0,font:{size:10},callback:t=>t,padding:5,centerPointLabels:!1}};static defaultRoutes={"angleLines.color":"borderColor","pointLabels.color":"color","ticks.color":"color"};static descriptors={angleLines:{_fallback:"grid"}};constructor(t){super(t),this.xCenter=void 0,this.yCenter=void 0,this.drawingArea=void 0,this._pointLabels=[],this._pointLabelItems=[]}setDimensions(){const t=this._padding=Pe(cs(this.options)/2),e=this.width=this.maxWidth-t.width,n=this.height=this.maxHeight-t.height;this.xCenter=Math.floor(this.left+e/2+t.left),this.yCenter=Math.floor(this.top+n/2+t.top),this.drawingArea=Math.floor(Math.min(e,n)/2)}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!1);this.min=W(t)&&!isNaN(t)?t:0,this.max=W(e)&&!isNaN(e)?e:0,this.handleTickRangeOptions()}computeTickLimit(){return Math.ceil(this.drawingArea/cs(this.options))}generateTickLabels(t){es.prototype.generateTickLabels.call(this,t),this._pointLabels=this.getLabels().map(((t,e)=>{const n=$(this.options.pointLabels.callback,[t,e],this);return n||0===n?n:""})).filter(((t,e)=>this.chart.getDataVisibility(e)))}fit(){const t=this.options;t.display&&t.pointLabels.display?hs(this):this.setCenterPoint(0,0,0,0)}setCenterPoint(t,e,n,i){this.xCenter+=Math.floor((t-e)/2),this.yCenter+=Math.floor((n-i)/2),this.drawingArea-=Math.min(this.drawingArea/2,Math.max(t,e,n,i))}getIndexAngle(t){return St(t*(at/(this._pointLabels.length||1))+vt(this.options.startAngle||0))}getDistanceFromCenterForValue(t){if(N(t))return NaN;const e=this.drawingArea/(this.max-this.min);return this.options.reverse?(this.max-t)*e:(t-this.min)*e}getValueForDistanceFromCenter(t){if(N(t))return NaN;const e=t/(this.drawingArea/(this.max-this.min));return this.options.reverse?this.max-e:this.min+e}getPointLabelContext(t){const e=this._pointLabels||[];if(t>=0&&t<e.length){const n=e[t];return function(t,e,n){return De(t,{label:n,index:e,type:"pointLabel"})}(this.getContext(),t,n)}}getPointPosition(t,e,n=0){const i=this.getIndexAngle(t)-ht+n;return{x:Math.cos(i)*e+this.xCenter,y:Math.sin(i)*e+this.yCenter,angle:i}}getPointPositionForValue(t,e){return this.getPointPosition(t,this.getDistanceFromCenterForValue(e))}getBasePosition(t){return this.getPointPositionForValue(t||0,this.getBaseValue())}getPointLabelPosition(t){const{left:e,top:n,right:i,bottom:o}=this._pointLabelItems[t];return{left:e,top:n,right:i,bottom:o}}drawBackground(){const{backgroundColor:t,grid:{circular:e}}=this.options;if(t){const n=this.ctx;n.save(),n.beginPath(),ms(this,this.getDistanceFromCenterForValue(this._endValue),e,this._pointLabels.length),n.closePath(),n.fillStyle=t,n.fill(),n.restore()}}drawGrid(){const t=this.ctx,e=this.options,{angleLines:n,grid:i,border:o}=e,r=this._pointLabels.length;let s,a,l;if(e.pointLabels.display&&function(t,e){const{ctx:n,options:{pointLabels:i}}=t;for(let o=e-1;o>=0;o--){const e=t._pointLabelItems[o];if(!e.visible)continue;const r=i.setContext(t.getPointLabelContext(o));gs(n,r,e);const s=Re(r.font),{x:a,y:l,textAlign:c}=e;ve(n,t._pointLabels[o],a,l+s.lineHeight/2,s,{color:r.color,textAlign:c,textBaseline:"middle"})}}(this,r),i.display&&this.ticks.forEach(((t,e)=>{if(0!==e){a=this.getDistanceFromCenterForValue(t.value);const n=this.getContext(e),s=i.setContext(n),l=o.setContext(n);!function(t,e,n,i,o){const r=t.ctx,s=e.circular,{color:a,lineWidth:l}=e;!s&&!i||!a||!l||n<0||(r.save(),r.strokeStyle=a,r.lineWidth=l,r.setLineDash(o.dash),r.lineDashOffset=o.dashOffset,r.beginPath(),ms(t,n,s,i),r.closePath(),r.stroke(),r.restore())}(this,s,a,r,l)}})),n.display){for(t.save(),s=r-1;s>=0;s--){const i=n.setContext(this.getPointLabelContext(s)),{color:o,lineWidth:r}=i;r&&o&&(t.lineWidth=r,t.strokeStyle=o,t.setLineDash(i.borderDash),t.lineDashOffset=i.borderDashOffset,a=this.getDistanceFromCenterForValue(e.ticks.reverse?this.min:this.max),l=this.getPointPosition(s,a),t.beginPath(),t.moveTo(this.xCenter,this.yCenter),t.lineTo(l.x,l.y),t.stroke())}t.restore()}}drawBorder(){}drawLabels(){const t=this.ctx,e=this.options,n=e.ticks;if(!n.display)return;const i=this.getIndexAngle(0);let o,r;t.save(),t.translate(this.xCenter,this.yCenter),t.rotate(i),t.textAlign="center",t.textBaseline="middle",this.ticks.forEach(((i,s)=>{if(0===s&&!e.reverse)return;const a=n.setContext(this.getContext(s)),l=Re(a.font);if(o=this.getDistanceFromCenterForValue(this.ticks[s].value),a.showLabelBackdrop){t.font=l.string,r=t.measureText(i.label).width,t.fillStyle=a.backdropColor;const e=Pe(a.backdropPadding);t.fillRect(-r/2-e.left,-o-l.size/2-e.top,r+e.width,l.size+e.height)}ve(t,i.label,0,-o,l,{color:a.color,strokeColor:a.textStrokeColor,strokeWidth:a.textStrokeWidth})})),t.restore()}drawTitle(){}}const ys={millisecond:{common:!0,size:1,steps:1e3},second:{common:!0,size:1e3,steps:60},minute:{common:!0,size:6e4,steps:60},hour:{common:!0,size:36e5,steps:24},day:{common:!0,size:864e5,steps:30},week:{common:!1,size:6048e5,steps:4},month:{common:!0,size:2628e6,steps:12},quarter:{common:!1,size:7884e6,steps:4},year:{common:!0,size:3154e7}},xs=Object.keys(ys);function vs(t,e){return t-e}function _s(t,e){if(N(e))return null;const n=t._adapter,{parser:i,round:o,isoWeekday:r}=t._parseOpts;let s=e;return"function"==typeof i&&(s=i(s)),W(s)||(s="string"==typeof i?n.parse(s,i):n.parse(s)),null===s?null:(o&&(s="week"!==o||!yt(r)&&!0!==r?n.startOf(s,o):n.startOf(s,"isoWeek",r)),+s)}function ws(t,e,n,i){const o=xs.length;for(let r=xs.indexOf(t);r<o-1;++r){const t=ys[xs[r]],o=t.steps?t.steps:Number.MAX_SAFE_INTEGER;if(t.common&&Math.ceil((n-e)/(o*t.size))<=i)return xs[r]}return xs[o-1]}function Es(t,e,n){if(n){if(n.length){const{lo:i,hi:o}=Rt(n,e);t[n[i]>=e?n[i]:n[o]]=!0}}else t[e]=!0}function Os(t,e,n){const i=[],o={},r=e.length;let s,a;for(s=0;s<r;++s)a=e[s],o[a]=s,i.push({value:a,major:!1});return 0!==r&&n?function(t,e,n,i){const o=t._adapter,r=+o.startOf(e[0].value,i),s=e[e.length-1].value;let a,l;for(a=r;a<=s;a=+o.add(a,1,i))l=n[a],l>=0&&(e[l].major=!0);return e}(t,i,o,n):i}class Cs extends Qi{static id="time";static defaults={bounds:"data",adapters:{},time:{parser:!1,unit:!1,round:!1,isoWeekday:!1,minUnit:"millisecond",displayFormats:{}},ticks:{source:"auto",callback:!1,major:{enabled:!1}}};constructor(t){super(t),this._cache={data:[],labels:[],all:[]},this._unit="day",this._majorUnit=void 0,this._offsets={},this._normalized=!1,this._parseOpts=void 0}init(t,e={}){const n=t.time||(t.time={}),i=this._adapter=new ri(t.adapters.date);i.init(e),J(n.displayFormats,i.formats()),this._parseOpts={parser:n.parser,round:n.round,isoWeekday:n.isoWeekday},super.init(t),this._normalized=e.normalized}parse(t,e){return void 0===t?null:_s(this,t)}beforeLayout(){super.beforeLayout(),this._cache={data:[],labels:[],all:[]}}determineDataLimits(){const t=this.options,e=this._adapter,n=t.time.unit||"day";let{min:i,max:o,minDefined:r,maxDefined:s}=this.getUserBounds();function a(t){r||isNaN(t.min)||(i=Math.min(i,t.min)),s||isNaN(t.max)||(o=Math.max(o,t.max))}r&&s||(a(this._getLabelBounds()),"ticks"===t.bounds&&"labels"===t.ticks.source||a(this.getMinMax(!1))),i=W(i)&&!isNaN(i)?i:+e.startOf(Date.now(),n),o=W(o)&&!isNaN(o)?o:+e.endOf(Date.now(),n)+1,this.min=Math.min(i,o-1),this.max=Math.max(i+1,o)}_getLabelBounds(){const t=this.getLabelTimestamps();let e=Number.POSITIVE_INFINITY,n=Number.NEGATIVE_INFINITY;return t.length&&(e=t[0],n=t[t.length-1]),{min:e,max:n}}buildTicks(){const t=this.options,e=t.time,n=t.ticks,i="labels"===n.source?this.getLabelTimestamps():this._generate();"ticks"===t.bounds&&i.length&&(this.min=this._userMin||i[0],this.max=this._userMax||i[i.length-1]);const o=this.min,r=function(t,e,n){let i=0,o=t.length;for(;i<o&&t[i]<e;)i++;for(;o>i&&t[o-1]>n;)o--;return i>0||o<t.length?t.slice(i,o):t}(i,o,this.max);return this._unit=e.unit||(n.autoSkip?ws(e.minUnit,this.min,this.max,this._getLabelCapacity(o)):function(t,e,n,i,o){for(let r=xs.length-1;r>=xs.indexOf(n);r--){const n=xs[r];if(ys[n].common&&t._adapter.diff(o,i,n)>=e-1)return n}return xs[n?xs.indexOf(n):0]}(this,r.length,e.minUnit,this.min,this.max)),this._majorUnit=n.major.enabled&&"year"!==this._unit?function(t){for(let e=xs.indexOf(t)+1,n=xs.length;e<n;++e)if(ys[xs[e]].common)return xs[e]}(this._unit):void 0,this.initOffsets(i),t.reverse&&r.reverse(),Os(this,r,this._majorUnit)}afterAutoSkip(){this.options.offsetAfterAutoskip&&this.initOffsets(this.ticks.map((t=>+t.value)))}initOffsets(t=[]){let e,n,i=0,o=0;this.options.offset&&t.length&&(e=this.getDecimalForValue(t[0]),i=1===t.length?1-e:(this.getDecimalForValue(t[1])-e)/2,n=this.getDecimalForValue(t[t.length-1]),o=1===t.length?n:(n-this.getDecimalForValue(t[t.length-2]))/2);const r=t.length<3?.5:.25;i=Mt(i,0,r),o=Mt(o,0,r),this._offsets={start:i,end:o,factor:1/(i+1+o)}}_generate(){const t=this._adapter,e=this.min,n=this.max,i=this.options,o=i.time,r=o.unit||ws(o.minUnit,e,n,this._getLabelCapacity(e)),s=H(i.ticks.stepSize,1),a="week"===r&&o.isoWeekday,l=yt(a)||!0===a,c={};let u,h,d=e;if(l&&(d=+t.startOf(d,"isoWeek",a)),d=+t.startOf(d,l?"day":r),t.diff(n,e,r)>1e5*s)throw new Error(e+" and "+n+" are too far apart with stepSize of "+s+" "+r);const f="data"===i.ticks.source&&this.getDataTimestamps();for(u=d,h=0;u<n;u=+t.add(u,s,r),h++)Es(c,u,f);return u!==n&&"ticks"!==i.bounds&&1!==h||Es(c,u,f),Object.keys(c).sort(vs).map((t=>+t))}getLabelForValue(t){const e=this._adapter,n=this.options.time;return n.tooltipFormat?e.format(t,n.tooltipFormat):e.format(t,n.displayFormats.datetime)}format(t,e){const n=this.options.time.displayFormats,i=this._unit,o=e||n[i];return this._adapter.format(t,o)}_tickFormatFunction(t,e,n,i){const o=this.options,r=o.ticks.callback;if(r)return $(r,[t,e,n],this);const s=o.time.displayFormats,a=this._unit,l=this._majorUnit,c=a&&s[a],u=l&&s[l],h=n[e],d=l&&u&&h&&h.major;return this._adapter.format(t,i||(d?u:c))}generateTickLabels(t){let e,n,i;for(e=0,n=t.length;e<n;++e)i=t[e],i.label=this._tickFormatFunction(i.value,e,t)}getDecimalForValue(t){return null===t?NaN:(t-this.min)/(this.max-this.min)}getPixelForValue(t){const e=this._offsets,n=this.getDecimalForValue(t);return 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- this.gravityConstant = FDLayoutConstants.DEFAULT_GRAVITY_STRENGTH; - this.compoundGravityConstant = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH; - this.gravityRangeFactor = FDLayoutConstants.DEFAULT_GRAVITY_RANGE_FACTOR; - this.compoundGravityRangeFactor = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR; - - // variables for tree reduction support - this.prunedNodesAll = []; - this.growTreeIterations = 0; - this.afterGrowthIterations = 0; - this.isTreeGrowing = false; - this.isGrowthFinished = false; - - // variables for cooling - this.coolingCycle = 0; - this.maxCoolingCycle = this.maxIterations / FDLayoutConstants.CONVERGENCE_CHECK_PERIOD; - this.finalTemperature = FDLayoutConstants.CONVERGENCE_CHECK_PERIOD / this.maxIterations; - this.coolingAdjuster = 1; - } -}; - -CoSELayout.prototype.layout = function () { - var createBendsAsNeeded = LayoutConstants.DEFAULT_CREATE_BENDS_AS_NEEDED; - if (createBendsAsNeeded) { - this.createBendpoints(); - this.graphManager.resetAllEdges(); - } - - this.level = 0; - return this.classicLayout(); -}; - -CoSELayout.prototype.classicLayout = function () { - this.nodesWithGravity = this.calculateNodesToApplyGravitationTo(); - this.graphManager.setAllNodesToApplyGravitation(this.nodesWithGravity); - this.calcNoOfChildrenForAllNodes(); - this.graphManager.calcLowestCommonAncestors(); - this.graphManager.calcInclusionTreeDepths(); - this.graphManager.getRoot().calcEstimatedSize(); - this.calcIdealEdgeLengths(); - - if (!this.incremental) { - var forest = this.getFlatForest(); - - // The graph associated with this layout is flat and a forest - if (forest.length > 0) { - this.positionNodesRadially(forest); - } - // The graph associated with this layout is not flat or a forest - else { - // Reduce the trees when incremental mode is not enabled and graph is not a forest - this.reduceTrees(); - // Update nodes that gravity will be applied - this.graphManager.resetAllNodesToApplyGravitation(); - var allNodes = new Set(this.getAllNodes()); - var intersection = this.nodesWithGravity.filter(function (x) { - return allNodes.has(x); - }); - this.graphManager.setAllNodesToApplyGravitation(intersection); - - this.positionNodesRandomly(); - } - } else { - if (CoSEConstants.TREE_REDUCTION_ON_INCREMENTAL) { - // Reduce the trees in incremental mode if only this constant is set to true - this.reduceTrees(); - // Update nodes that gravity will be applied - this.graphManager.resetAllNodesToApplyGravitation(); - var allNodes = new Set(this.getAllNodes()); - var intersection = this.nodesWithGravity.filter(function (x) { - return allNodes.has(x); - }); - this.graphManager.setAllNodesToApplyGravitation(intersection); - } - } - - this.initSpringEmbedder(); - this.runSpringEmbedder(); - - return true; -}; - -CoSELayout.prototype.tick = function () { - this.totalIterations++; - - if (this.totalIterations === this.maxIterations && !this.isTreeGrowing && !this.isGrowthFinished) { - if (this.prunedNodesAll.length > 0) { - this.isTreeGrowing = true; - } else { - return true; - } - } - - if (this.totalIterations % FDLayoutConstants.CONVERGENCE_CHECK_PERIOD == 0 && !this.isTreeGrowing && !this.isGrowthFinished) { - if (this.isConverged()) { - if (this.prunedNodesAll.length > 0) { - this.isTreeGrowing = true; - } else { - return true; - } - } - - this.coolingCycle++; - - if (this.layoutQuality == 0) { - // quality - "draft" - this.coolingAdjuster = this.coolingCycle; - } else if (this.layoutQuality == 1) { - // quality - "default" - this.coolingAdjuster = this.coolingCycle / 3; - } - - // cooling schedule is based on http://www.btluke.com/simanf1.html -> cooling schedule 3 - this.coolingFactor = Math.max(this.initialCoolingFactor - Math.pow(this.coolingCycle, Math.log(100 * (this.initialCoolingFactor - this.finalTemperature)) / Math.log(this.maxCoolingCycle)) / 100 * this.coolingAdjuster, this.finalTemperature); - this.animationPeriod = Math.ceil(this.initialAnimationPeriod * Math.sqrt(this.coolingFactor)); - } - // Operations while tree is growing again - if (this.isTreeGrowing) { - if (this.growTreeIterations % 10 == 0) { - if (this.prunedNodesAll.length > 0) { - this.graphManager.updateBounds(); - this.updateGrid(); - this.growTree(this.prunedNodesAll); - // Update nodes that gravity will be applied - this.graphManager.resetAllNodesToApplyGravitation(); - var allNodes = new Set(this.getAllNodes()); - var intersection = this.nodesWithGravity.filter(function (x) { - return allNodes.has(x); - }); - this.graphManager.setAllNodesToApplyGravitation(intersection); - - this.graphManager.updateBounds(); - this.updateGrid(); - this.coolingFactor = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL; - } else { - this.isTreeGrowing = false; - this.isGrowthFinished = true; - } - } - this.growTreeIterations++; - } - // Operations after growth is finished - if (this.isGrowthFinished) { - if (this.isConverged()) { - return true; - } - if (this.afterGrowthIterations % 10 == 0) { - this.graphManager.updateBounds(); - this.updateGrid(); - } - this.coolingFactor = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL * ((100 - this.afterGrowthIterations) / 100); - this.afterGrowthIterations++; - } - - var gridUpdateAllowed = !this.isTreeGrowing && !this.isGrowthFinished; - var forceToNodeSurroundingUpdate = this.growTreeIterations % 10 == 1 && this.isTreeGrowing || this.afterGrowthIterations % 10 == 1 && this.isGrowthFinished; - - this.totalDisplacement = 0; - this.graphManager.updateBounds(); - this.calcSpringForces(); - this.calcRepulsionForces(gridUpdateAllowed, forceToNodeSurroundingUpdate); - this.calcGravitationalForces(); - this.moveNodes(); - this.animate(); - - return false; // Layout is not ended yet return false -}; - -CoSELayout.prototype.getPositionsData = function () { - var allNodes = this.graphManager.getAllNodes(); - var pData = {}; - for (var i = 0; i < allNodes.length; i++) { - var rect = allNodes[i].rect; - var id = allNodes[i].id; - pData[id] = { - id: id, - x: rect.getCenterX(), - y: rect.getCenterY(), - w: rect.width, - h: rect.height - }; - } - - return pData; -}; - -CoSELayout.prototype.runSpringEmbedder = function () { - this.initialAnimationPeriod = 25; - this.animationPeriod = this.initialAnimationPeriod; - var layoutEnded = false; - - // If aminate option is 'during' signal that layout is supposed to start iterating - if (FDLayoutConstants.ANIMATE === 'during') { - this.emit('layoutstarted'); - } else { - // If aminate option is 'during' tick() function will be called on index.js - while (!layoutEnded) { - layoutEnded = this.tick(); - } - - this.graphManager.updateBounds(); - } -}; - -CoSELayout.prototype.calculateNodesToApplyGravitationTo = function () { - var nodeList = []; - var graph; - - var graphs = this.graphManager.getGraphs(); - var size = graphs.length; - var i; - for (i = 0; i < size; i++) { - graph = graphs[i]; - - graph.updateConnected(); - - if (!graph.isConnected) { - nodeList = nodeList.concat(graph.getNodes()); - } - } - - return nodeList; -}; - -CoSELayout.prototype.createBendpoints = function () { - var edges = []; - edges = edges.concat(this.graphManager.getAllEdges()); - var visited = new Set(); - var i; - for (i = 0; i < edges.length; i++) { - var edge = edges[i]; - - if (!visited.has(edge)) { - var source = edge.getSource(); - var target = edge.getTarget(); - - if (source == target) { - edge.getBendpoints().push(new PointD()); - edge.getBendpoints().push(new PointD()); - this.createDummyNodesForBendpoints(edge); - visited.add(edge); - } else { - var edgeList = []; - - edgeList = edgeList.concat(source.getEdgeListToNode(target)); - edgeList = edgeList.concat(target.getEdgeListToNode(source)); - - if (!visited.has(edgeList[0])) { - if (edgeList.length > 1) { - var k; - for (k = 0; k < edgeList.length; k++) { - var multiEdge = edgeList[k]; - multiEdge.getBendpoints().push(new PointD()); - this.createDummyNodesForBendpoints(multiEdge); - } - } - edgeList.forEach(function (edge) { - visited.add(edge); - }); - } - } - } - - if (visited.size == edges.length) { - break; - } - } -}; - -CoSELayout.prototype.positionNodesRadially = function (forest) { - // We tile the trees to a grid row by row; first tree starts at (0,0) - var currentStartingPoint = new Point(0, 0); - var numberOfColumns = Math.ceil(Math.sqrt(forest.length)); - var height = 0; - var currentY = 0; - var currentX = 0; - var point = new PointD(0, 0); - - for (var i = 0; i < forest.length; i++) { - if (i % numberOfColumns == 0) { - // Start of a new row, make the x coordinate 0, increment the - // y coordinate with the max height of the previous row - currentX = 0; - currentY = height; - - if (i != 0) { - currentY += CoSEConstants.DEFAULT_COMPONENT_SEPERATION; - } - - height = 0; - } - - var tree = forest[i]; - - // Find the center of the tree - var centerNode = Layout.findCenterOfTree(tree); - - // Set the staring point of the next tree - currentStartingPoint.x = currentX; - currentStartingPoint.y = currentY; - - // Do a radial layout starting with the center - point = CoSELayout.radialLayout(tree, centerNode, currentStartingPoint); - - if (point.y > height) { - height = Math.floor(point.y); - } - - currentX = Math.floor(point.x + CoSEConstants.DEFAULT_COMPONENT_SEPERATION); - } - - this.transform(new PointD(LayoutConstants.WORLD_CENTER_X - point.x / 2, LayoutConstants.WORLD_CENTER_Y - point.y / 2)); -}; - -CoSELayout.radialLayout = function (tree, centerNode, startingPoint) { - var radialSep = Math.max(this.maxDiagonalInTree(tree), CoSEConstants.DEFAULT_RADIAL_SEPARATION); - CoSELayout.branchRadialLayout(centerNode, null, 0, 359, 0, radialSep); - var bounds = LGraph.calculateBounds(tree); - - var transform = new Transform(); - transform.setDeviceOrgX(bounds.getMinX()); - transform.setDeviceOrgY(bounds.getMinY()); - transform.setWorldOrgX(startingPoint.x); - transform.setWorldOrgY(startingPoint.y); - - for (var i = 0; i < tree.length; i++) { - var node = tree[i]; - node.transform(transform); - } - - var bottomRight = new PointD(bounds.getMaxX(), bounds.getMaxY()); - - return transform.inverseTransformPoint(bottomRight); -}; - -CoSELayout.branchRadialLayout = function (node, parentOfNode, startAngle, endAngle, distance, radialSeparation) { - // First, position this node by finding its angle. - var halfInterval = (endAngle - startAngle + 1) / 2; - - if (halfInterval < 0) { - halfInterval += 180; - } - - var nodeAngle = (halfInterval + startAngle) % 360; - var teta = nodeAngle * IGeometry.TWO_PI / 360; - - // Make polar to java cordinate conversion. - var cos_teta = Math.cos(teta); - var x_ = distance * Math.cos(teta); - var y_ = distance * Math.sin(teta); - - node.setCenter(x_, y_); - - // Traverse all neighbors of this node and recursively call this - // function. - var neighborEdges = []; - neighborEdges = neighborEdges.concat(node.getEdges()); - var childCount = neighborEdges.length; - - if (parentOfNode != null) { - childCount--; - } - - var branchCount = 0; - - var incEdgesCount = neighborEdges.length; - var startIndex; - - var edges = node.getEdgesBetween(parentOfNode); - - // If there are multiple edges, prune them until there remains only one - // edge. - while (edges.length > 1) { - //neighborEdges.remove(edges.remove(0)); - var temp = edges[0]; - edges.splice(0, 1); - var index = neighborEdges.indexOf(temp); - if (index >= 0) { - neighborEdges.splice(index, 1); - } - incEdgesCount--; - childCount--; - } - - if (parentOfNode != null) { - //assert edges.length == 1; - startIndex = (neighborEdges.indexOf(edges[0]) + 1) % incEdgesCount; - } else { - startIndex = 0; - } - - var stepAngle = Math.abs(endAngle - startAngle) / childCount; - - for (var i = startIndex; branchCount != childCount; i = ++i % incEdgesCount) { - var currentNeighbor = neighborEdges[i].getOtherEnd(node); - - // Don't back traverse to root node in current tree. - if (currentNeighbor == parentOfNode) { - continue; - } - - var childStartAngle = (startAngle + branchCount * stepAngle) % 360; - var childEndAngle = (childStartAngle + stepAngle) % 360; - - CoSELayout.branchRadialLayout(currentNeighbor, node, childStartAngle, childEndAngle, distance + radialSeparation, radialSeparation); - - branchCount++; - } -}; - -CoSELayout.maxDiagonalInTree = function (tree) { - var maxDiagonal = Integer.MIN_VALUE; - - for (var i = 0; i < tree.length; i++) { - var node = tree[i]; - var diagonal = node.getDiagonal(); - - if (diagonal > maxDiagonal) { - maxDiagonal = diagonal; - } - } - - return maxDiagonal; -}; - -CoSELayout.prototype.calcRepulsionRange = function () { - // formula is 2 x (level + 1) x idealEdgeLength - return 2 * (this.level + 1) * this.idealEdgeLength; -}; - -// Tiling methods - -// Group zero degree members whose parents are not to be tiled, create dummy parents where needed and fill memberGroups by their dummp parent id's -CoSELayout.prototype.groupZeroDegreeMembers = function () { - var self = this; - // array of [parent_id x oneDegreeNode_id] - var tempMemberGroups = {}; // A temporary map of parent node and its zero degree members - this.memberGroups = {}; // A map of dummy parent node and its zero degree members whose parents are not to be tiled - this.idToDummyNode = {}; // A map of id to dummy node - - var zeroDegree = []; // List of zero degree nodes whose parents are not to be tiled - var allNodes = this.graphManager.getAllNodes(); - - // Fill zero degree list - for (var i = 0; i < allNodes.length; i++) { - var node = allNodes[i]; - var parent = node.getParent(); - // If a node has zero degree and its parent is not to be tiled if exists add that node to zeroDegres list - if (this.getNodeDegreeWithChildren(node) === 0 && (parent.id == undefined || !this.getToBeTiled(parent))) { - zeroDegree.push(node); - } - } - - // Create a map of parent node and its zero degree members - for (var i = 0; i < zeroDegree.length; i++) { - var node = zeroDegree[i]; // Zero degree node itself - var p_id = node.getParent().id; // Parent id - - if (typeof tempMemberGroups[p_id] === "undefined") tempMemberGroups[p_id] = []; - - tempMemberGroups[p_id] = tempMemberGroups[p_id].concat(node); // Push node to the list belongs to its parent in tempMemberGroups - } - - // If there are at least two nodes at a level, create a dummy compound for them - Object.keys(tempMemberGroups).forEach(function (p_id) { - if (tempMemberGroups[p_id].length > 1) { - var dummyCompoundId = "DummyCompound_" + p_id; // The id of dummy compound which will be created soon - self.memberGroups[dummyCompoundId] = tempMemberGroups[p_id]; // Add dummy compound to memberGroups - - var parent = tempMemberGroups[p_id][0].getParent(); // The parent of zero degree nodes will be the parent of new dummy compound - - // Create a dummy compound with calculated id - var dummyCompound = new CoSENode(self.graphManager); - dummyCompound.id = dummyCompoundId; - dummyCompound.paddingLeft = parent.paddingLeft || 0; - dummyCompound.paddingRight = parent.paddingRight || 0; - dummyCompound.paddingBottom = parent.paddingBottom || 0; - dummyCompound.paddingTop = parent.paddingTop || 0; - - self.idToDummyNode[dummyCompoundId] = dummyCompound; - - var dummyParentGraph = self.getGraphManager().add(self.newGraph(), dummyCompound); - var parentGraph = parent.getChild(); - - // Add dummy compound to parent the graph - parentGraph.add(dummyCompound); - - // For each zero degree node in this level remove it from its parent graph and add it to the graph of dummy parent - for (var i = 0; i < tempMemberGroups[p_id].length; i++) { - var node = tempMemberGroups[p_id][i]; - - parentGraph.remove(node); - dummyParentGraph.add(node); - } - } - }); -}; - -CoSELayout.prototype.clearCompounds = function () { - var childGraphMap = {}; - var idToNode = {}; - - // Get compound ordering by finding the inner one first - this.performDFSOnCompounds(); - - for (var i = 0; i < this.compoundOrder.length; i++) { - - idToNode[this.compoundOrder[i].id] = this.compoundOrder[i]; - childGraphMap[this.compoundOrder[i].id] = [].concat(this.compoundOrder[i].getChild().getNodes()); - - // Remove children of compounds - this.graphManager.remove(this.compoundOrder[i].getChild()); - this.compoundOrder[i].child = null; - } - - this.graphManager.resetAllNodes(); - - // Tile the removed children - this.tileCompoundMembers(childGraphMap, idToNode); -}; - -CoSELayout.prototype.clearZeroDegreeMembers = function () { - var self = this; - var tiledZeroDegreePack = this.tiledZeroDegreePack = []; - - Object.keys(this.memberGroups).forEach(function (id) { - var compoundNode = self.idToDummyNode[id]; // Get the dummy compound - - tiledZeroDegreePack[id] = self.tileNodes(self.memberGroups[id], compoundNode.paddingLeft + compoundNode.paddingRight); - - // Set the width and height of the dummy compound as calculated - compoundNode.rect.width = tiledZeroDegreePack[id].width; - compoundNode.rect.height = tiledZeroDegreePack[id].height; - }); -}; - -CoSELayout.prototype.repopulateCompounds = function () { - for (var i = this.compoundOrder.length - 1; i >= 0; i--) { - var lCompoundNode = this.compoundOrder[i]; - var id = lCompoundNode.id; - var horizontalMargin = lCompoundNode.paddingLeft; - var verticalMargin = lCompoundNode.paddingTop; - - this.adjustLocations(this.tiledMemberPack[id], lCompoundNode.rect.x, lCompoundNode.rect.y, horizontalMargin, verticalMargin); - } -}; - -CoSELayout.prototype.repopulateZeroDegreeMembers = function () { - var self = this; - var tiledPack = this.tiledZeroDegreePack; - - Object.keys(tiledPack).forEach(function (id) { - var compoundNode = self.idToDummyNode[id]; // Get the dummy compound by its id - var horizontalMargin = compoundNode.paddingLeft; - var verticalMargin = compoundNode.paddingTop; - - // Adjust the positions of nodes wrt its compound - self.adjustLocations(tiledPack[id], compoundNode.rect.x, compoundNode.rect.y, horizontalMargin, verticalMargin); - }); -}; - -CoSELayout.prototype.getToBeTiled = function (node) { - var id = node.id; - //firstly check the previous results - if (this.toBeTiled[id] != null) { - return this.toBeTiled[id]; - } - - //only compound nodes are to be tiled - var childGraph = node.getChild(); - if (childGraph == null) { - this.toBeTiled[id] = false; - return false; - } - - var children = childGraph.getNodes(); // Get the children nodes - - //a compound node is not to be tiled if all of its compound children are not to be tiled - for (var i = 0; i < children.length; i++) { - var theChild = children[i]; - - if (this.getNodeDegree(theChild) > 0) { - this.toBeTiled[id] = false; - return false; - } - - //pass the children not having the compound structure - if (theChild.getChild() == null) { - this.toBeTiled[theChild.id] = false; - continue; - } - - if (!this.getToBeTiled(theChild)) { - this.toBeTiled[id] = false; - return false; - } - } - this.toBeTiled[id] = true; - return true; -}; - -// Get degree of a node depending of its edges and independent of its children -CoSELayout.prototype.getNodeDegree = function (node) { - var id = node.id; - var edges = node.getEdges(); - var degree = 0; - - // For the edges connected - for (var i = 0; i < edges.length; i++) { - var edge = edges[i]; - if (edge.getSource().id !== edge.getTarget().id) { - degree = degree + 1; - } - } - return degree; -}; - -// Get degree of a node with its children -CoSELayout.prototype.getNodeDegreeWithChildren = function (node) { - var degree = this.getNodeDegree(node); - if (node.getChild() == null) { - return degree; - } - var children = node.getChild().getNodes(); - for (var i = 0; i < children.length; i++) { - var child = children[i]; - degree += this.getNodeDegreeWithChildren(child); - } - return degree; -}; - -CoSELayout.prototype.performDFSOnCompounds = function () { - this.compoundOrder = []; - this.fillCompexOrderByDFS(this.graphManager.getRoot().getNodes()); -}; - -CoSELayout.prototype.fillCompexOrderByDFS = function (children) { - for (var i = 0; i < children.length; i++) { - var child = children[i]; - if (child.getChild() != null) { - this.fillCompexOrderByDFS(child.getChild().getNodes()); - } - if (this.getToBeTiled(child)) { - this.compoundOrder.push(child); - } - } -}; - -/** -* This method places each zero degree member wrt given (x,y) coordinates (top left). -*/ -CoSELayout.prototype.adjustLocations = function (organization, x, y, compoundHorizontalMargin, compoundVerticalMargin) { - x += compoundHorizontalMargin; - y += compoundVerticalMargin; - - var left = x; - - for (var i = 0; i < organization.rows.length; i++) { - var row = organization.rows[i]; - x = left; - var maxHeight = 0; - - for (var j = 0; j < row.length; j++) { - var lnode = row[j]; - - lnode.rect.x = x; // + lnode.rect.width / 2; - lnode.rect.y = y; // + lnode.rect.height / 2; - - x += lnode.rect.width + organization.horizontalPadding; - - if (lnode.rect.height > maxHeight) maxHeight = lnode.rect.height; - } - - y += maxHeight + organization.verticalPadding; - } -}; - -CoSELayout.prototype.tileCompoundMembers = function (childGraphMap, idToNode) { - var self = this; - this.tiledMemberPack = []; - - Object.keys(childGraphMap).forEach(function (id) { - // Get the compound node - var compoundNode = idToNode[id]; - - self.tiledMemberPack[id] = self.tileNodes(childGraphMap[id], compoundNode.paddingLeft + compoundNode.paddingRight); - - compoundNode.rect.width = self.tiledMemberPack[id].width; - compoundNode.rect.height = self.tiledMemberPack[id].height; - }); -}; - -CoSELayout.prototype.tileNodes = function (nodes, minWidth) { - var verticalPadding = CoSEConstants.TILING_PADDING_VERTICAL; - var horizontalPadding = CoSEConstants.TILING_PADDING_HORIZONTAL; - var organization = { - rows: [], - rowWidth: [], - rowHeight: [], - width: 0, - height: minWidth, // assume minHeight equals to minWidth - verticalPadding: verticalPadding, - horizontalPadding: horizontalPadding - }; - - // Sort the nodes in ascending order of their areas - nodes.sort(function (n1, n2) { - if (n1.rect.width * n1.rect.height > n2.rect.width * n2.rect.height) return -1; - if (n1.rect.width * n1.rect.height < n2.rect.width * n2.rect.height) return 1; - return 0; - }); - - // Create the organization -> tile members - for (var i = 0; i < nodes.length; i++) { - var lNode = nodes[i]; - - if (organization.rows.length == 0) { - this.insertNodeToRow(organization, lNode, 0, minWidth); - } else if (this.canAddHorizontal(organization, lNode.rect.width, lNode.rect.height)) { - this.insertNodeToRow(organization, lNode, this.getShortestRowIndex(organization), minWidth); - } else { - this.insertNodeToRow(organization, lNode, organization.rows.length, minWidth); - } - - this.shiftToLastRow(organization); - } - - return organization; -}; - -CoSELayout.prototype.insertNodeToRow = function (organization, node, rowIndex, minWidth) { - var minCompoundSize = minWidth; - - // Add new row if needed - if (rowIndex == organization.rows.length) { - var secondDimension = []; - - organization.rows.push(secondDimension); - organization.rowWidth.push(minCompoundSize); - organization.rowHeight.push(0); - } - - // Update row width - var w = organization.rowWidth[rowIndex] + node.rect.width; - - if (organization.rows[rowIndex].length > 0) { - w += organization.horizontalPadding; - } - - organization.rowWidth[rowIndex] = w; - // Update compound width - if (organization.width < w) { - organization.width = w; - } - - // Update height - var h = node.rect.height; - if (rowIndex > 0) h += organization.verticalPadding; - - var extraHeight = 0; - if (h > organization.rowHeight[rowIndex]) { - extraHeight = organization.rowHeight[rowIndex]; - organization.rowHeight[rowIndex] = h; - extraHeight = organization.rowHeight[rowIndex] - extraHeight; - } - - organization.height += extraHeight; - - // Insert node - organization.rows[rowIndex].push(node); -}; - -//Scans the rows of an organization and returns the one with the min width -CoSELayout.prototype.getShortestRowIndex = function (organization) { - var r = -1; - var min = Number.MAX_VALUE; - - for (var i = 0; i < organization.rows.length; i++) { - if (organization.rowWidth[i] < min) { - r = i; - min = organization.rowWidth[i]; - } - } - return r; -}; - -//Scans the rows of an organization and returns the one with the max width -CoSELayout.prototype.getLongestRowIndex = function (organization) { - var r = -1; - var max = Number.MIN_VALUE; - - for (var i = 0; i < organization.rows.length; i++) { - - if (organization.rowWidth[i] > max) { - r = i; - max = organization.rowWidth[i]; - } - } - - return r; -}; - -/** -* This method checks whether adding extra width to the organization violates -* the aspect ratio(1) or not. -*/ -CoSELayout.prototype.canAddHorizontal = function (organization, extraWidth, extraHeight) { - - var sri = this.getShortestRowIndex(organization); - - if (sri < 0) { - return true; - } - - var min = organization.rowWidth[sri]; - - if (min + organization.horizontalPadding + extraWidth <= organization.width) return true; - - var hDiff = 0; - - // Adding to an existing row - if (organization.rowHeight[sri] < extraHeight) { - if (sri > 0) hDiff = extraHeight + organization.verticalPadding - organization.rowHeight[sri]; - } - - var add_to_row_ratio; - if (organization.width - min >= extraWidth + organization.horizontalPadding) { - add_to_row_ratio = (organization.height + hDiff) / (min + extraWidth + organization.horizontalPadding); - } else { - add_to_row_ratio = (organization.height + hDiff) / organization.width; - } - - // Adding a new row for this node - hDiff = extraHeight + organization.verticalPadding; - var add_new_row_ratio; - if (organization.width < extraWidth) { - add_new_row_ratio = (organization.height + hDiff) / extraWidth; - } else { - add_new_row_ratio = (organization.height + hDiff) / organization.width; - } - - if (add_new_row_ratio < 1) add_new_row_ratio = 1 / add_new_row_ratio; - - if (add_to_row_ratio < 1) add_to_row_ratio = 1 / add_to_row_ratio; - - return add_to_row_ratio < add_new_row_ratio; -}; - -//If moving the last node from the longest row and adding it to the last -//row makes the bounding box smaller, do it. -CoSELayout.prototype.shiftToLastRow = function (organization) { - var longest = this.getLongestRowIndex(organization); - var last = organization.rowWidth.length - 1; - var row = organization.rows[longest]; - var node = row[row.length - 1]; - - var diff = node.width + organization.horizontalPadding; - - // Check if there is enough space on the last row - if (organization.width - organization.rowWidth[last] > diff && longest != last) { - // Remove the last element of the longest row - row.splice(-1, 1); - - // Push it to the last row - organization.rows[last].push(node); - - organization.rowWidth[longest] = organization.rowWidth[longest] - diff; - organization.rowWidth[last] = organization.rowWidth[last] + diff; - organization.width = organization.rowWidth[instance.getLongestRowIndex(organization)]; - - // Update heights of the organization - var maxHeight = Number.MIN_VALUE; - for (var i = 0; i < row.length; i++) { - if (row[i].height > maxHeight) maxHeight = row[i].height; - } - if (longest > 0) maxHeight += organization.verticalPadding; - - var prevTotal = organization.rowHeight[longest] + organization.rowHeight[last]; - - organization.rowHeight[longest] = maxHeight; - if (organization.rowHeight[last] < node.height + organization.verticalPadding) organization.rowHeight[last] = node.height + organization.verticalPadding; - - var finalTotal = organization.rowHeight[longest] + organization.rowHeight[last]; - organization.height += finalTotal - prevTotal; - - this.shiftToLastRow(organization); - } -}; - -CoSELayout.prototype.tilingPreLayout = function () { - if (CoSEConstants.TILE) { - // Find zero degree nodes and create a compound for each level - this.groupZeroDegreeMembers(); - // Tile and clear children of each compound - this.clearCompounds(); - // Separately tile and clear zero degree nodes for each level - this.clearZeroDegreeMembers(); - } -}; - -CoSELayout.prototype.tilingPostLayout = function () { - if (CoSEConstants.TILE) { - this.repopulateZeroDegreeMembers(); - this.repopulateCompounds(); - } -}; - -// ----------------------------------------------------------------------------- -// Section: Tree Reduction methods -// ----------------------------------------------------------------------------- -// Reduce trees -CoSELayout.prototype.reduceTrees = function () { - var prunedNodesAll = []; - var containsLeaf = true; - var node; - - while (containsLeaf) { - var allNodes = this.graphManager.getAllNodes(); - var prunedNodesInStepTemp = []; - containsLeaf = false; - - for (var i = 0; i < allNodes.length; i++) { - node = allNodes[i]; - if (node.getEdges().length == 1 && !node.getEdges()[0].isInterGraph && node.getChild() == null) { - prunedNodesInStepTemp.push([node, node.getEdges()[0], node.getOwner()]); - containsLeaf = true; - } - } - if (containsLeaf == true) { - var prunedNodesInStep = []; - for (var j = 0; j < prunedNodesInStepTemp.length; j++) { - if (prunedNodesInStepTemp[j][0].getEdges().length == 1) { - prunedNodesInStep.push(prunedNodesInStepTemp[j]); - prunedNodesInStepTemp[j][0].getOwner().remove(prunedNodesInStepTemp[j][0]); - } - } - prunedNodesAll.push(prunedNodesInStep); - this.graphManager.resetAllNodes(); - this.graphManager.resetAllEdges(); - } - } - this.prunedNodesAll = prunedNodesAll; -}; - -// Grow tree one step -CoSELayout.prototype.growTree = function (prunedNodesAll) { - var lengthOfPrunedNodesInStep = prunedNodesAll.length; - var prunedNodesInStep = prunedNodesAll[lengthOfPrunedNodesInStep - 1]; - - var nodeData; - for (var i = 0; i < prunedNodesInStep.length; i++) { - nodeData = prunedNodesInStep[i]; - - this.findPlaceforPrunedNode(nodeData); - - nodeData[2].add(nodeData[0]); - nodeData[2].add(nodeData[1], nodeData[1].source, nodeData[1].target); - } - - prunedNodesAll.splice(prunedNodesAll.length - 1, 1); - this.graphManager.resetAllNodes(); - this.graphManager.resetAllEdges(); -}; - -// Find an appropriate position to replace pruned node, this method can be improved -CoSELayout.prototype.findPlaceforPrunedNode = function (nodeData) { - - var gridForPrunedNode; - var nodeToConnect; - var prunedNode = nodeData[0]; - if (prunedNode == nodeData[1].source) { - nodeToConnect = nodeData[1].target; - } else { - nodeToConnect = nodeData[1].source; - } - var startGridX = nodeToConnect.startX; - var finishGridX = nodeToConnect.finishX; - var startGridY = nodeToConnect.startY; - var finishGridY = nodeToConnect.finishY; - - var upNodeCount = 0; - var downNodeCount = 0; - var rightNodeCount = 0; - var leftNodeCount = 0; - var controlRegions = [upNodeCount, rightNodeCount, downNodeCount, leftNodeCount]; - - if (startGridY > 0) { - for (var i = startGridX; i <= finishGridX; i++) { - controlRegions[0] += this.grid[i][startGridY - 1].length + this.grid[i][startGridY].length - 1; - } - } - if (finishGridX < this.grid.length - 1) { - for (var i = startGridY; i <= finishGridY; i++) { - controlRegions[1] += this.grid[finishGridX + 1][i].length + this.grid[finishGridX][i].length - 1; - } - } - if (finishGridY < this.grid[0].length - 1) { - for (var i = startGridX; i <= finishGridX; i++) { - controlRegions[2] += this.grid[i][finishGridY + 1].length + this.grid[i][finishGridY].length - 1; - } - } - if (startGridX > 0) { - for (var i = startGridY; i <= finishGridY; i++) { - controlRegions[3] += this.grid[startGridX - 1][i].length + this.grid[startGridX][i].length - 1; - } - } - var min = Integer.MAX_VALUE; - var minCount; - var minIndex; - for (var j = 0; j < controlRegions.length; j++) { - if (controlRegions[j] < min) { - min = controlRegions[j]; - minCount = 1; - minIndex = j; - } else if (controlRegions[j] == min) { - minCount++; - } - } - - if (minCount == 3 && min == 0) { - if (controlRegions[0] == 0 && controlRegions[1] == 0 && controlRegions[2] == 0) { - gridForPrunedNode = 1; - } else if (controlRegions[0] == 0 && controlRegions[1] == 0 && controlRegions[3] == 0) { - gridForPrunedNode = 0; - } else if (controlRegions[0] == 0 && controlRegions[2] == 0 && controlRegions[3] == 0) { - gridForPrunedNode = 3; - } else if (controlRegions[1] == 0 && controlRegions[2] == 0 && controlRegions[3] == 0) { - gridForPrunedNode = 2; - } - } else if (minCount == 2 && min == 0) { - var random = Math.floor(Math.random() * 2); - if (controlRegions[0] == 0 && controlRegions[1] == 0) { - ; - if (random == 0) { - gridForPrunedNode = 0; - } else { - gridForPrunedNode = 1; - } - } else if (controlRegions[0] == 0 && controlRegions[2] == 0) { - if (random == 0) { - gridForPrunedNode = 0; - } else { - gridForPrunedNode = 2; - } - } else if (controlRegions[0] == 0 && controlRegions[3] == 0) { - if (random == 0) { - gridForPrunedNode = 0; - } else { - gridForPrunedNode = 3; - } - } else if (controlRegions[1] == 0 && controlRegions[2] == 0) { - if (random == 0) { - gridForPrunedNode = 1; - } else { - gridForPrunedNode = 2; - } - } else if (controlRegions[1] == 0 && controlRegions[3] == 0) { - if (random == 0) { - gridForPrunedNode = 1; - } else { - gridForPrunedNode = 3; - } - } else { - if (random == 0) { - gridForPrunedNode = 2; - } else { - gridForPrunedNode = 3; - } - } - } else if (minCount == 4 && min == 0) { - var random = Math.floor(Math.random() * 4); - gridForPrunedNode = random; - } else { - gridForPrunedNode = minIndex; - } - - if (gridForPrunedNode == 0) { - prunedNode.setCenter(nodeToConnect.getCenterX(), nodeToConnect.getCenterY() - nodeToConnect.getHeight() / 2 - FDLayoutConstants.DEFAULT_EDGE_LENGTH - prunedNode.getHeight() / 2); - } else if (gridForPrunedNode == 1) { - prunedNode.setCenter(nodeToConnect.getCenterX() + nodeToConnect.getWidth() / 2 + FDLayoutConstants.DEFAULT_EDGE_LENGTH + prunedNode.getWidth() / 2, nodeToConnect.getCenterY()); - } else if (gridForPrunedNode == 2) { - prunedNode.setCenter(nodeToConnect.getCenterX(), nodeToConnect.getCenterY() + nodeToConnect.getHeight() / 2 + FDLayoutConstants.DEFAULT_EDGE_LENGTH + prunedNode.getHeight() / 2); - } else { - prunedNode.setCenter(nodeToConnect.getCenterX() - nodeToConnect.getWidth() / 2 - FDLayoutConstants.DEFAULT_EDGE_LENGTH - prunedNode.getWidth() / 2, nodeToConnect.getCenterY()); - } -}; - -module.exports = CoSELayout; - -/***/ }), -/* 7 */ -/***/ (function(module, exports, __nested_webpack_require_45620__) { - -"use strict"; - - -var coseBase = {}; - -coseBase.layoutBase = __nested_webpack_require_45620__(0); -coseBase.CoSEConstants = __nested_webpack_require_45620__(1); -coseBase.CoSEEdge = __nested_webpack_require_45620__(2); -coseBase.CoSEGraph = __nested_webpack_require_45620__(3); -coseBase.CoSEGraphManager = __nested_webpack_require_45620__(4); -coseBase.CoSELayout = __nested_webpack_require_45620__(6); -coseBase.CoSENode = __nested_webpack_require_45620__(5); 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} : -/******/ function getModuleExports() { return module; }; -/******/ __nested_webpack_require_659__.d(getter, 'a', getter); -/******/ return getter; -/******/ }; -/******/ -/******/ // Object.prototype.hasOwnProperty.call -/******/ __nested_webpack_require_659__.o = function(object, property) { return Object.prototype.hasOwnProperty.call(object, property); }; -/******/ -/******/ // __webpack_public_path__ -/******/ __nested_webpack_require_659__.p = ""; -/******/ -/******/ // Load entry module and return exports -/******/ return __nested_webpack_require_659__(__nested_webpack_require_659__.s = 1); -/******/ }) -/************************************************************************/ -/******/ ([ -/* 0 */ -/***/ (function(module, exports) { - -module.exports = __WEBPACK_EXTERNAL_MODULE_0__; - -/***/ }), -/* 1 */ -/***/ (function(module, exports, __nested_webpack_require_3201__) { - -"use strict"; - - -var LayoutConstants = __nested_webpack_require_3201__(0).layoutBase.LayoutConstants; -var FDLayoutConstants = __nested_webpack_require_3201__(0).layoutBase.FDLayoutConstants; -var CoSEConstants = __nested_webpack_require_3201__(0).CoSEConstants; -var CoSELayout = __nested_webpack_require_3201__(0).CoSELayout; -var CoSENode = __nested_webpack_require_3201__(0).CoSENode; -var PointD = __nested_webpack_require_3201__(0).layoutBase.PointD; -var DimensionD = __nested_webpack_require_3201__(0).layoutBase.DimensionD; - -var defaults = { - // Called on `layoutready` - ready: function ready() {}, - // Called on `layoutstop` - stop: function stop() {}, - // 'draft', 'default' or 'proof" - // - 'draft' fast cooling rate - // - 'default' moderate cooling rate - // - "proof" slow cooling rate - quality: 'default', - // include labels in node dimensions - nodeDimensionsIncludeLabels: false, - // number of ticks per frame; higher is faster but more jerky - refresh: 30, - // Whether to fit the network view after when done - fit: true, - // Padding on fit - padding: 10, - // Whether to enable incremental mode - randomize: true, - // Node repulsion (non overlapping) multiplier - nodeRepulsion: 4500, - // Ideal edge (non nested) length - idealEdgeLength: 50, - // Divisor to compute edge forces - edgeElasticity: 0.45, - // Nesting factor (multiplier) to compute ideal edge length for nested edges - nestingFactor: 0.1, - // Gravity force (constant) - gravity: 0.25, - // Maximum number of iterations to perform - numIter: 2500, - // For enabling tiling - tile: true, - // Type of layout animation. The option set is {'during', 'end', false} - animate: 'end', - // Duration for animate:end - animationDuration: 500, - // Represents the amount of the vertical space to put between the zero degree members during the tiling operation(can also be a function) - tilingPaddingVertical: 10, - // Represents the amount of the horizontal space to put between the zero degree members during the tiling operation(can also be a function) - tilingPaddingHorizontal: 10, - // Gravity range (constant) for compounds - gravityRangeCompound: 1.5, - // Gravity force (constant) for compounds - gravityCompound: 1.0, - // Gravity range (constant) - gravityRange: 3.8, - // Initial cooling factor for incremental layout - initialEnergyOnIncremental: 0.5 -}; - -function extend(defaults, options) { - var obj = {}; - - for (var i in defaults) { - obj[i] = defaults[i]; - } - - for (var i in options) { - obj[i] = options[i]; - } - - return obj; -}; - -function _CoSELayout(_options) { - this.options = extend(defaults, _options); - getUserOptions(this.options); -} - -var getUserOptions = function getUserOptions(options) { - if (options.nodeRepulsion != null) CoSEConstants.DEFAULT_REPULSION_STRENGTH = FDLayoutConstants.DEFAULT_REPULSION_STRENGTH = options.nodeRepulsion; - if (options.idealEdgeLength != null) CoSEConstants.DEFAULT_EDGE_LENGTH = FDLayoutConstants.DEFAULT_EDGE_LENGTH = options.idealEdgeLength; - if (options.edgeElasticity != null) CoSEConstants.DEFAULT_SPRING_STRENGTH = FDLayoutConstants.DEFAULT_SPRING_STRENGTH = options.edgeElasticity; - if (options.nestingFactor != null) CoSEConstants.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR = FDLayoutConstants.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR = options.nestingFactor; - if (options.gravity != null) CoSEConstants.DEFAULT_GRAVITY_STRENGTH = FDLayoutConstants.DEFAULT_GRAVITY_STRENGTH = options.gravity; - if (options.numIter != null) CoSEConstants.MAX_ITERATIONS = FDLayoutConstants.MAX_ITERATIONS = options.numIter; - if (options.gravityRange != null) CoSEConstants.DEFAULT_GRAVITY_RANGE_FACTOR = FDLayoutConstants.DEFAULT_GRAVITY_RANGE_FACTOR = options.gravityRange; - if (options.gravityCompound != null) CoSEConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH = options.gravityCompound; - if (options.gravityRangeCompound != null) CoSEConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR = options.gravityRangeCompound; - if (options.initialEnergyOnIncremental != null) CoSEConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL = options.initialEnergyOnIncremental; - - if (options.quality == 'draft') LayoutConstants.QUALITY = 0;else if (options.quality == 'proof') LayoutConstants.QUALITY = 2;else LayoutConstants.QUALITY = 1; - - CoSEConstants.NODE_DIMENSIONS_INCLUDE_LABELS = FDLayoutConstants.NODE_DIMENSIONS_INCLUDE_LABELS = LayoutConstants.NODE_DIMENSIONS_INCLUDE_LABELS = options.nodeDimensionsIncludeLabels; - CoSEConstants.DEFAULT_INCREMENTAL = FDLayoutConstants.DEFAULT_INCREMENTAL = LayoutConstants.DEFAULT_INCREMENTAL = !options.randomize; - CoSEConstants.ANIMATE = FDLayoutConstants.ANIMATE = LayoutConstants.ANIMATE = options.animate; - CoSEConstants.TILE = options.tile; - CoSEConstants.TILING_PADDING_VERTICAL = typeof options.tilingPaddingVertical === 'function' ? options.tilingPaddingVertical.call() : options.tilingPaddingVertical; - CoSEConstants.TILING_PADDING_HORIZONTAL = typeof options.tilingPaddingHorizontal === 'function' ? options.tilingPaddingHorizontal.call() : options.tilingPaddingHorizontal; -}; - -_CoSELayout.prototype.run = function () { - var ready; - var frameId; - var options = this.options; - var idToLNode = this.idToLNode = {}; - var layout = this.layout = new CoSELayout(); - var self = this; - - self.stopped = false; - - this.cy = this.options.cy; - - this.cy.trigger({ type: 'layoutstart', layout: this }); - - var gm = layout.newGraphManager(); - this.gm = gm; - - var nodes = this.options.eles.nodes(); - var edges = this.options.eles.edges(); - - this.root = gm.addRoot(); - this.processChildrenList(this.root, this.getTopMostNodes(nodes), layout); - - for (var i = 0; i < edges.length; i++) { - var edge = edges[i]; - var sourceNode = this.idToLNode[edge.data("source")]; - var targetNode = this.idToLNode[edge.data("target")]; - if (sourceNode !== targetNode && sourceNode.getEdgesBetween(targetNode).length == 0) { - var e1 = gm.add(layout.newEdge(), sourceNode, targetNode); - e1.id = edge.id(); - } - } - - var getPositions = function getPositions(ele, i) { - if (typeof ele === "number") { - ele = i; - } - var theId = ele.data('id'); - var lNode = self.idToLNode[theId]; - - return { - x: lNode.getRect().getCenterX(), - y: lNode.getRect().getCenterY() - }; - }; - - /* - * Reposition nodes in iterations animatedly - */ - var iterateAnimated = function iterateAnimated() { - // Thigs to perform after nodes are repositioned on screen - var afterReposition = function afterReposition() { - if (options.fit) { - options.cy.fit(options.eles, options.padding); - } - - if (!ready) { - ready = true; - self.cy.one('layoutready', options.ready); - self.cy.trigger({ type: 'layoutready', layout: self }); - } - }; - - var ticksPerFrame = self.options.refresh; - var isDone; - - for (var i = 0; i < ticksPerFrame && !isDone; i++) { - isDone = self.stopped || self.layout.tick(); - } - - // If layout is done - if (isDone) { - // If the layout is not a sublayout and it is successful perform post layout. - if (layout.checkLayoutSuccess() && !layout.isSubLayout) { - layout.doPostLayout(); - } - - // If layout has a tilingPostLayout function property call it. - if (layout.tilingPostLayout) { - layout.tilingPostLayout(); - } - - layout.isLayoutFinished = true; - - self.options.eles.nodes().positions(getPositions); - - afterReposition(); - - // trigger layoutstop when the layout stops (e.g. finishes) - self.cy.one('layoutstop', self.options.stop); - self.cy.trigger({ type: 'layoutstop', layout: self }); - - if (frameId) { - cancelAnimationFrame(frameId); - } - - ready = false; - return; - } - - var animationData = self.layout.getPositionsData(); // Get positions of layout nodes note that all nodes may not be layout nodes because of tiling - - // Position nodes, for the nodes whose id does not included in data (because they are removed from their parents and included in dummy compounds) - // use position of their ancestors or dummy ancestors - options.eles.nodes().positions(function (ele, i) { - if (typeof ele === "number") { - ele = i; - } - // If ele is a compound node, then its position will be defined by its children - if (!ele.isParent()) { - var theId = ele.id(); - var pNode = animationData[theId]; - var temp = ele; - // If pNode is undefined search until finding position data of its first ancestor (It may be dummy as well) - while (pNode == null) { - pNode = animationData[temp.data('parent')] || animationData['DummyCompound_' + temp.data('parent')]; - animationData[theId] = pNode; - temp = temp.parent()[0]; - if (temp == undefined) { - break; - } - } - if (pNode != null) { - return { - x: pNode.x, - y: pNode.y - }; - } else { - return { - x: ele.position('x'), - y: ele.position('y') - }; - } - } - }); - - afterReposition(); - - frameId = requestAnimationFrame(iterateAnimated); - }; - - /* - * Listen 'layoutstarted' event and start animated iteration if animate option is 'during' - */ - layout.addListener('layoutstarted', function () { - if (self.options.animate === 'during') { - frameId = requestAnimationFrame(iterateAnimated); - } - }); - - layout.runLayout(); // Run cose layout - - /* - * If animate option is not 'during' ('end' or false) perform these here (If it is 'during' similar things are already performed) - */ - if (this.options.animate !== "during") { - self.options.eles.nodes().not(":parent").layoutPositions(self, self.options, getPositions); // Use layout positions to reposition the nodes it considers the options parameter - ready = false; - } - - return this; // chaining -}; - -//Get the top most ones of a list of nodes -_CoSELayout.prototype.getTopMostNodes = function (nodes) { - var nodesMap = {}; - for (var i = 0; i < nodes.length; i++) { - nodesMap[nodes[i].id()] = true; - } - var roots = nodes.filter(function (ele, i) { - if (typeof ele === "number") { - ele = i; - } - var parent = ele.parent()[0]; - while (parent != null) { - if (nodesMap[parent.id()]) { - return false; - } - parent = parent.parent()[0]; - } - return true; - }); - - return roots; -}; - -_CoSELayout.prototype.processChildrenList = function (parent, children, layout) { - var size = children.length; - for (var i = 0; i < size; i++) { - var theChild = children[i]; - var children_of_children = theChild.children(); - var theNode; - - var dimensions = theChild.layoutDimensions({ - nodeDimensionsIncludeLabels: this.options.nodeDimensionsIncludeLabels - }); - - if (theChild.outerWidth() != null && theChild.outerHeight() != null) { - theNode = parent.add(new CoSENode(layout.graphManager, new PointD(theChild.position('x') - dimensions.w / 2, theChild.position('y') - dimensions.h / 2), new DimensionD(parseFloat(dimensions.w), parseFloat(dimensions.h)))); - } else { - theNode = parent.add(new CoSENode(this.graphManager)); - } - // Attach id to the layout node - theNode.id = theChild.data("id"); - // Attach the paddings of cy node to layout node - theNode.paddingLeft = parseInt(theChild.css('padding')); - theNode.paddingTop = parseInt(theChild.css('padding')); - theNode.paddingRight = parseInt(theChild.css('padding')); - theNode.paddingBottom = parseInt(theChild.css('padding')); - - //Attach the label properties to compound if labels will be included in node dimensions - if (this.options.nodeDimensionsIncludeLabels) { - if (theChild.isParent()) { - var labelWidth = theChild.boundingBox({ includeLabels: true, includeNodes: false }).w; - var labelHeight = theChild.boundingBox({ includeLabels: true, includeNodes: false }).h; - var labelPos = theChild.css("text-halign"); - theNode.labelWidth = labelWidth; - theNode.labelHeight = labelHeight; - theNode.labelPos = labelPos; - } - } - - // Map the layout node - this.idToLNode[theChild.data("id")] = theNode; - - if (isNaN(theNode.rect.x)) { - theNode.rect.x = 0; - } - - if (isNaN(theNode.rect.y)) { - theNode.rect.y = 0; - } - - if (children_of_children != null && children_of_children.length > 0) { - var theNewGraph; - theNewGraph = layout.getGraphManager().add(layout.newGraph(), theNode); - this.processChildrenList(theNewGraph, children_of_children, layout); - } - } -}; - -/** - * @brief : called on continuous layouts to stop them before they finish - */ -_CoSELayout.prototype.stop = function () { - this.stopped = true; - - return this; // chaining -}; - -var register = function register(cytoscape) { - // var Layout = getLayout( cytoscape ); - - cytoscape('layout', 'cose-bilkent', _CoSELayout); -}; - -// auto reg for globals -if (typeof cytoscape !== 'undefined') { - register(cytoscape); -} - -module.exports = register; - -/***/ }) -/******/ ]); -}); - -/***/ }), - -/***/ 71377: -/***/ (function(module) { - -/** - * Copyright (c) 2016-2023, The Cytoscape Consortium. - * - * Permission is hereby granted, free of charge, to any person obtaining a copy of - * this software and associated documentation files (the “Software”), to deal in - * the Software without restriction, including without limitation the rights to - * use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies - * of the Software, and to permit persons to whom the Software is furnished to do - * so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -(function (global, factory) { - true ? module.exports = factory() : - 0; -})(this, (function () { 'use strict'; - - function _typeof(obj) { - "@babel/helpers - typeof"; - - return _typeof = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function (obj) { - return typeof obj; - } : function (obj) { - return obj && "function" == typeof Symbol && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; - }, _typeof(obj); - } - function _classCallCheck(instance, Constructor) { - if (!(instance instanceof Constructor)) { - throw new TypeError("Cannot call a class as a function"); - } - } - function _defineProperties(target, props) { - for (var i = 0; i < props.length; i++) { - var descriptor = props[i]; - descriptor.enumerable = descriptor.enumerable || false; - descriptor.configurable = true; - if ("value" in descriptor) descriptor.writable = true; - Object.defineProperty(target, descriptor.key, descriptor); - } - } - function _createClass(Constructor, protoProps, staticProps) { - if (protoProps) _defineProperties(Constructor.prototype, protoProps); - if (staticProps) _defineProperties(Constructor, staticProps); - Object.defineProperty(Constructor, "prototype", { - writable: false - }); - return Constructor; - } - function _defineProperty$1(obj, key, value) { - if (key in obj) { - Object.defineProperty(obj, key, { - value: value, - enumerable: true, - configurable: true, - writable: true - }); - } else { - obj[key] = value; - } - return obj; - } - function _slicedToArray(arr, i) { - return _arrayWithHoles(arr) || _iterableToArrayLimit(arr, i) || _unsupportedIterableToArray(arr, i) || _nonIterableRest(); - } - function _arrayWithHoles(arr) { - if (Array.isArray(arr)) return arr; - } - function _iterableToArrayLimit(arr, i) { - var _i = arr == null ? null : typeof Symbol !== "undefined" && arr[Symbol.iterator] || arr["@@iterator"]; - if (_i == null) return; - var _arr = []; - var _n = true; - var _d = false; - var _s, _e; - try { - for (_i = _i.call(arr); !(_n = (_s = _i.next()).done); _n = true) { - _arr.push(_s.value); - if (i && _arr.length === i) break; - } - } catch (err) { - _d = true; - _e = err; - } finally { - try { - if (!_n && _i["return"] != null) _i["return"](); - } finally { - if (_d) throw _e; - } - } - return _arr; - } - function _unsupportedIterableToArray(o, minLen) { - if (!o) return; - if (typeof o === "string") return _arrayLikeToArray(o, minLen); - var n = Object.prototype.toString.call(o).slice(8, -1); - if (n === "Object" && o.constructor) n = o.constructor.name; - if (n === "Map" || n === "Set") return Array.from(o); - if (n === "Arguments" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray(o, minLen); - } - function _arrayLikeToArray(arr, len) { - if (len == null || len > arr.length) len = arr.length; - for (var i = 0, arr2 = new Array(len); i < len; i++) arr2[i] = arr[i]; - return arr2; - } - function _nonIterableRest() { - throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method."); - } - - var _window = typeof window === 'undefined' ? null : window; // eslint-disable-line no-undef - - var navigator = _window ? _window.navigator : null; - _window ? _window.document : null; - var typeofstr = _typeof(''); - var typeofobj = _typeof({}); - var typeoffn = _typeof(function () {}); - var typeofhtmlele = typeof HTMLElement === "undefined" ? "undefined" : _typeof(HTMLElement); - var instanceStr = function instanceStr(obj) { - return obj && obj.instanceString && fn$6(obj.instanceString) ? obj.instanceString() : null; - }; - - var string = function string(obj) { - return obj != null && _typeof(obj) == typeofstr; - }; - var fn$6 = function fn(obj) { - return obj != null && _typeof(obj) === typeoffn; - }; - var array = function array(obj) { - return !elementOrCollection(obj) && (Array.isArray ? Array.isArray(obj) : obj != null && obj instanceof Array); - }; - var plainObject = function plainObject(obj) { - return obj != null && _typeof(obj) === typeofobj && !array(obj) && obj.constructor === Object; - }; - var object = function object(obj) { - return obj != null && _typeof(obj) === typeofobj; - }; - var number$1 = function number(obj) { - return obj != null && _typeof(obj) === _typeof(1) && !isNaN(obj); - }; - var integer = function integer(obj) { - return number$1(obj) && Math.floor(obj) === obj; - }; - var htmlElement = function htmlElement(obj) { - if ('undefined' === typeofhtmlele) { - return undefined; - } else { - return null != obj && obj instanceof HTMLElement; - } - }; - var elementOrCollection = function elementOrCollection(obj) { - return element(obj) || collection(obj); - }; - var element = function element(obj) { - return instanceStr(obj) === 'collection' && obj._private.single; - }; - var collection = function collection(obj) { - return instanceStr(obj) === 'collection' && !obj._private.single; - }; - var core = function core(obj) { - return instanceStr(obj) === 'core'; - }; - var stylesheet = function stylesheet(obj) { - return instanceStr(obj) === 'stylesheet'; - }; - var event = function event(obj) { - return instanceStr(obj) === 'event'; - }; - var emptyString = function emptyString(obj) { - if (obj === undefined || obj === null) { - // null is empty - return true; - } else if (obj === '' || obj.match(/^\s+$/)) { - return true; // empty string is empty - } - - return false; // otherwise, we don't know what we've got - }; - var domElement = function domElement(obj) { - if (typeof HTMLElement === 'undefined') { - return false; // we're not in a browser so it doesn't matter - } else { - return obj instanceof HTMLElement; - } - }; - var boundingBox = function boundingBox(obj) { - return plainObject(obj) && number$1(obj.x1) && number$1(obj.x2) && number$1(obj.y1) && number$1(obj.y2); - }; - var promise = function promise(obj) { - return object(obj) && fn$6(obj.then); - }; - var ms = function ms() { - return navigator && navigator.userAgent.match(/msie|trident|edge/i); - }; // probably a better way to detect this... - - var memoize$1 = function memoize(fn, keyFn) { - if (!keyFn) { - keyFn = function keyFn() { - if (arguments.length === 1) { - return arguments[0]; - } else if (arguments.length === 0) { - return 'undefined'; - } - var args = []; - for (var i = 0; i < arguments.length; i++) { - args.push(arguments[i]); - } - return args.join('$'); - }; - } - var memoizedFn = function memoizedFn() { - var self = this; - var args = arguments; - var ret; - var k = keyFn.apply(self, args); - var cache = memoizedFn.cache; - if (!(ret = cache[k])) { - ret = cache[k] = fn.apply(self, args); - } - return ret; - }; - memoizedFn.cache = {}; - return memoizedFn; - }; - - var camel2dash = memoize$1(function (str) { - return str.replace(/([A-Z])/g, function (v) { - return '-' + v.toLowerCase(); - }); - }); - var dash2camel = memoize$1(function (str) { - return str.replace(/(-\w)/g, function (v) { - return v[1].toUpperCase(); - }); - }); - var prependCamel = memoize$1(function (prefix, str) { - return prefix + str[0].toUpperCase() + str.substring(1); - }, function (prefix, str) { - return prefix + '$' + str; - }); - var capitalize = function capitalize(str) { - if (emptyString(str)) { - return str; - } - return str.charAt(0).toUpperCase() + str.substring(1); - }; - - var number = '(?:[-+]?(?:(?:\\d+|\\d*\\.\\d+)(?:[Ee][+-]?\\d+)?))'; - var rgba = 'rgb[a]?\\((' + number + '[%]?)\\s*,\\s*(' + number + '[%]?)\\s*,\\s*(' + number + '[%]?)(?:\\s*,\\s*(' + number + '))?\\)'; - var rgbaNoBackRefs = 'rgb[a]?\\((?:' + number + '[%]?)\\s*,\\s*(?:' + number + '[%]?)\\s*,\\s*(?:' + number + '[%]?)(?:\\s*,\\s*(?:' + number + '))?\\)'; - var hsla = 'hsl[a]?\\((' + number + ')\\s*,\\s*(' + number + '[%])\\s*,\\s*(' + number + '[%])(?:\\s*,\\s*(' + number + '))?\\)'; - var hslaNoBackRefs = 'hsl[a]?\\((?:' + number + ')\\s*,\\s*(?:' + number + '[%])\\s*,\\s*(?:' + number + '[%])(?:\\s*,\\s*(?:' + number + '))?\\)'; - var hex3 = '\\#[0-9a-fA-F]{3}'; - var hex6 = '\\#[0-9a-fA-F]{6}'; - - var ascending = function ascending(a, b) { - if (a < b) { - return -1; - } else if (a > b) { - return 1; - } else { - return 0; - } - }; - var descending = function descending(a, b) { - return -1 * ascending(a, b); - }; - - var extend = Object.assign != null ? Object.assign.bind(Object) : function (tgt) { - var args = arguments; - for (var i = 1; i < args.length; i++) { - var obj = args[i]; - if (obj == null) { - continue; - } - var keys = Object.keys(obj); - for (var j = 0; j < keys.length; j++) { - var k = keys[j]; - tgt[k] = obj[k]; - } - } - return tgt; - }; - - // get [r, g, b] from #abc or #aabbcc - var hex2tuple = function hex2tuple(hex) { - if (!(hex.length === 4 || hex.length === 7) || hex[0] !== '#') { - return; - } - var shortHex = hex.length === 4; - var r, g, b; - var base = 16; - if (shortHex) { - r = parseInt(hex[1] + hex[1], base); - g = parseInt(hex[2] + hex[2], base); - b = parseInt(hex[3] + hex[3], base); - } else { - r = parseInt(hex[1] + hex[2], base); - g = parseInt(hex[3] + hex[4], base); - b = parseInt(hex[5] + hex[6], base); - } - return [r, g, b]; - }; - - // get [r, g, b, a] from hsl(0, 0, 0) or hsla(0, 0, 0, 0) - var hsl2tuple = function hsl2tuple(hsl) { - var ret; - var h, s, l, a, r, g, b; - function hue2rgb(p, q, t) { - if (t < 0) t += 1; - if (t > 1) t -= 1; - if (t < 1 / 6) return p + (q - p) * 6 * t; - if (t < 1 / 2) return q; - if (t < 2 / 3) return p + (q - p) * (2 / 3 - t) * 6; - return p; - } - var m = new RegExp('^' + hsla + '$').exec(hsl); - if (m) { - // get hue - h = parseInt(m[1]); - if (h < 0) { - h = (360 - -1 * h % 360) % 360; - } else if (h > 360) { - h = h % 360; - } - h /= 360; // normalise on [0, 1] - - s = parseFloat(m[2]); - if (s < 0 || s > 100) { - return; - } // saturation is [0, 100] - s = s / 100; // normalise on [0, 1] - - l = parseFloat(m[3]); - if (l < 0 || l > 100) { - return; - } // lightness is [0, 100] - l = l / 100; // normalise on [0, 1] - - a = m[4]; - if (a !== undefined) { - a = parseFloat(a); - if (a < 0 || a > 1) { - return; - } // alpha is [0, 1] - } - - // now, convert to rgb - // code from http://mjijackson.com/2008/02/rgb-to-hsl-and-rgb-to-hsv-color-model-conversion-algorithms-in-javascript - if (s === 0) { - r = g = b = Math.round(l * 255); // achromatic - } else { - var q = l < 0.5 ? l * (1 + s) : l + s - l * s; - var p = 2 * l - q; - r = Math.round(255 * hue2rgb(p, q, h + 1 / 3)); - g = Math.round(255 * hue2rgb(p, q, h)); - b = Math.round(255 * hue2rgb(p, q, h - 1 / 3)); - } - ret = [r, g, b, a]; - } - return ret; - }; - - // get [r, g, b, a] from rgb(0, 0, 0) or rgba(0, 0, 0, 0) - var rgb2tuple = function rgb2tuple(rgb) { - var ret; - var m = new RegExp('^' + rgba + '$').exec(rgb); - if (m) { - ret = []; - var isPct = []; - for (var i = 1; i <= 3; i++) { - var channel = m[i]; - if (channel[channel.length - 1] === '%') { - isPct[i] = true; - } - channel = parseFloat(channel); - if (isPct[i]) { - channel = channel / 100 * 255; // normalise to [0, 255] - } - - if (channel < 0 || channel > 255) { - return; - } // invalid channel value - - ret.push(Math.floor(channel)); - } - var atLeastOneIsPct = isPct[1] || isPct[2] || isPct[3]; - var allArePct = isPct[1] && isPct[2] && isPct[3]; - if (atLeastOneIsPct && !allArePct) { - return; - } // must all be percent values if one is - - var alpha = m[4]; - if (alpha !== undefined) { - alpha = parseFloat(alpha); - if (alpha < 0 || alpha > 1) { - return; - } // invalid alpha value - - ret.push(alpha); - } - } - return ret; - }; - var colorname2tuple = function colorname2tuple(color) { - return colors[color.toLowerCase()]; - }; - var color2tuple = function color2tuple(color) { - return (array(color) ? color : null) || colorname2tuple(color) || hex2tuple(color) || rgb2tuple(color) || hsl2tuple(color); - }; - var colors = { - // special colour names - transparent: [0, 0, 0, 0], - // NB alpha === 0 - - // regular colours - aliceblue: [240, 248, 255], - antiquewhite: [250, 235, 215], - aqua: [0, 255, 255], - aquamarine: [127, 255, 212], - azure: [240, 255, 255], - beige: [245, 245, 220], - bisque: [255, 228, 196], - black: [0, 0, 0], - blanchedalmond: [255, 235, 205], - blue: [0, 0, 255], - blueviolet: [138, 43, 226], - brown: [165, 42, 42], - burlywood: [222, 184, 135], - cadetblue: [95, 158, 160], - chartreuse: [127, 255, 0], - chocolate: [210, 105, 30], - coral: [255, 127, 80], - cornflowerblue: [100, 149, 237], - cornsilk: [255, 248, 220], - crimson: [220, 20, 60], - cyan: [0, 255, 255], - darkblue: [0, 0, 139], - darkcyan: [0, 139, 139], - darkgoldenrod: [184, 134, 11], - darkgray: [169, 169, 169], - darkgreen: [0, 100, 0], - darkgrey: [169, 169, 169], - darkkhaki: [189, 183, 107], - darkmagenta: [139, 0, 139], - darkolivegreen: [85, 107, 47], - darkorange: [255, 140, 0], - darkorchid: [153, 50, 204], - darkred: [139, 0, 0], - darksalmon: [233, 150, 122], - darkseagreen: [143, 188, 143], - darkslateblue: [72, 61, 139], - darkslategray: [47, 79, 79], - darkslategrey: [47, 79, 79], - darkturquoise: [0, 206, 209], - darkviolet: [148, 0, 211], - deeppink: [255, 20, 147], - deepskyblue: [0, 191, 255], - dimgray: [105, 105, 105], - dimgrey: [105, 105, 105], - dodgerblue: [30, 144, 255], - firebrick: [178, 34, 34], - floralwhite: [255, 250, 240], - forestgreen: [34, 139, 34], - fuchsia: [255, 0, 255], - gainsboro: [220, 220, 220], - ghostwhite: [248, 248, 255], - gold: [255, 215, 0], - goldenrod: [218, 165, 32], - gray: [128, 128, 128], - grey: [128, 128, 128], - green: [0, 128, 0], - greenyellow: [173, 255, 47], - honeydew: [240, 255, 240], - hotpink: [255, 105, 180], - indianred: [205, 92, 92], - indigo: [75, 0, 130], - ivory: [255, 255, 240], - khaki: [240, 230, 140], - lavender: [230, 230, 250], - lavenderblush: [255, 240, 245], - lawngreen: [124, 252, 0], - lemonchiffon: [255, 250, 205], - lightblue: [173, 216, 230], - lightcoral: [240, 128, 128], - lightcyan: [224, 255, 255], - lightgoldenrodyellow: [250, 250, 210], - lightgray: [211, 211, 211], - lightgreen: [144, 238, 144], - lightgrey: [211, 211, 211], - lightpink: [255, 182, 193], - lightsalmon: [255, 160, 122], - lightseagreen: [32, 178, 170], - lightskyblue: [135, 206, 250], - lightslategray: [119, 136, 153], - lightslategrey: [119, 136, 153], - lightsteelblue: [176, 196, 222], - lightyellow: [255, 255, 224], - lime: [0, 255, 0], - limegreen: [50, 205, 50], - linen: [250, 240, 230], - magenta: [255, 0, 255], - maroon: [128, 0, 0], - mediumaquamarine: [102, 205, 170], - mediumblue: [0, 0, 205], - mediumorchid: [186, 85, 211], - mediumpurple: [147, 112, 219], - mediumseagreen: [60, 179, 113], - mediumslateblue: [123, 104, 238], - mediumspringgreen: [0, 250, 154], - mediumturquoise: [72, 209, 204], - mediumvioletred: [199, 21, 133], - midnightblue: [25, 25, 112], - mintcream: [245, 255, 250], - mistyrose: [255, 228, 225], - moccasin: [255, 228, 181], - navajowhite: [255, 222, 173], - navy: [0, 0, 128], - oldlace: [253, 245, 230], - olive: [128, 128, 0], - olivedrab: [107, 142, 35], - orange: [255, 165, 0], - orangered: [255, 69, 0], - orchid: [218, 112, 214], - palegoldenrod: [238, 232, 170], - palegreen: [152, 251, 152], - paleturquoise: [175, 238, 238], - palevioletred: [219, 112, 147], - papayawhip: [255, 239, 213], - peachpuff: [255, 218, 185], - peru: [205, 133, 63], - pink: [255, 192, 203], - plum: [221, 160, 221], - powderblue: [176, 224, 230], - purple: [128, 0, 128], - red: [255, 0, 0], - rosybrown: [188, 143, 143], - royalblue: [65, 105, 225], - saddlebrown: [139, 69, 19], - salmon: [250, 128, 114], - sandybrown: [244, 164, 96], - seagreen: [46, 139, 87], - seashell: [255, 245, 238], - sienna: [160, 82, 45], - silver: [192, 192, 192], - skyblue: [135, 206, 235], - slateblue: [106, 90, 205], - slategray: [112, 128, 144], - slategrey: [112, 128, 144], - snow: [255, 250, 250], - springgreen: [0, 255, 127], - steelblue: [70, 130, 180], - tan: [210, 180, 140], - teal: [0, 128, 128], - thistle: [216, 191, 216], - tomato: [255, 99, 71], - turquoise: [64, 224, 208], - violet: [238, 130, 238], - wheat: [245, 222, 179], - white: [255, 255, 255], - whitesmoke: [245, 245, 245], - yellow: [255, 255, 0], - yellowgreen: [154, 205, 50] - }; - - // sets the value in a map (map may not be built) - var setMap = function setMap(options) { - var obj = options.map; - var keys = options.keys; - var l = keys.length; - for (var i = 0; i < l; i++) { - var key = keys[i]; - if (plainObject(key)) { - throw Error('Tried to set map with object key'); - } - if (i < keys.length - 1) { - // extend the map if necessary - if (obj[key] == null) { - obj[key] = {}; - } - obj = obj[key]; - } else { - // set the value - obj[key] = options.value; - } - } - }; - - // gets the value in a map even if it's not built in places - var getMap = function getMap(options) { - var obj = options.map; - var keys = options.keys; - var l = keys.length; - for (var i = 0; i < l; i++) { - var key = keys[i]; - if (plainObject(key)) { - throw Error('Tried to get map with object key'); - } - obj = obj[key]; - if (obj == null) { - return obj; - } - } - return obj; - }; - - /** - * Checks if `value` is the - * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types) - * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Lang - * @param {*} value The value to check. - * @returns {boolean} Returns `true` if `value` is an object, else `false`. - * @example - * - * _.isObject({}); - * // => true - * - * _.isObject([1, 2, 3]); - * // => true - * - * _.isObject(_.noop); - * // => true - * - * _.isObject(null); - * // => false - */ - function isObject(value) { - var type = typeof value; - return value != null && (type == 'object' || type == 'function'); - } - - var isObject_1 = isObject; - - var commonjsGlobal = typeof globalThis !== 'undefined' ? globalThis : typeof window !== 'undefined' ? window : typeof global !== 'undefined' ? global : typeof self !== 'undefined' ? self : {}; - - function createCommonjsModule(fn, module) { - return module = { exports: {} }, fn(module, module.exports), module.exports; - } - - /** Detect free variable `global` from Node.js. */ - var freeGlobal = typeof commonjsGlobal == 'object' && commonjsGlobal && commonjsGlobal.Object === Object && commonjsGlobal; - - var _freeGlobal = freeGlobal; - - /** Detect free variable `self`. */ - var freeSelf = typeof self == 'object' && self && self.Object === Object && self; - - /** Used as a reference to the global object. */ - var root = _freeGlobal || freeSelf || Function('return this')(); - - var _root = root; - - /** - * Gets the timestamp of the number of milliseconds that have elapsed since - * the Unix epoch (1 January 1970 00:00:00 UTC). - * - * @static - * @memberOf _ - * @since 2.4.0 - * @category Date - * @returns {number} Returns the timestamp. - * @example - * - * _.defer(function(stamp) { - * console.log(_.now() - stamp); - * }, _.now()); - * // => Logs the number of milliseconds it took for the deferred invocation. - */ - var now = function() { - return _root.Date.now(); - }; - - var now_1 = now; - - /** Used to match a single whitespace character. */ - var reWhitespace = /\s/; - - /** - * Used by `_.trim` and `_.trimEnd` to get the index of the last non-whitespace - * character of `string`. - * - * @private - * @param {string} string The string to inspect. - * @returns {number} Returns the index of the last non-whitespace character. - */ - function trimmedEndIndex(string) { - var index = string.length; - - while (index-- && reWhitespace.test(string.charAt(index))) {} - return index; - } - - var _trimmedEndIndex = trimmedEndIndex; - - /** Used to match leading whitespace. */ - var reTrimStart = /^\s+/; - - /** - * The base implementation of `_.trim`. - * - * @private - * @param {string} string The string to trim. - * @returns {string} Returns the trimmed string. - */ - function baseTrim(string) { - return string - ? string.slice(0, _trimmedEndIndex(string) + 1).replace(reTrimStart, '') - : string; - } - - var _baseTrim = baseTrim; - - /** Built-in value references. */ - var Symbol$1 = _root.Symbol; - - var _Symbol = Symbol$1; - - /** Used for built-in method references. */ - var objectProto$5 = Object.prototype; - - /** Used to check objects for own properties. */ - var hasOwnProperty$4 = objectProto$5.hasOwnProperty; - - /** - * Used to resolve the - * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring) - * of values. - */ - var nativeObjectToString$1 = objectProto$5.toString; - - /** Built-in value references. */ - var symToStringTag$1 = _Symbol ? _Symbol.toStringTag : undefined; - - /** - * A specialized version of `baseGetTag` which ignores `Symbol.toStringTag` values. - * - * @private - * @param {*} value The value to query. - * @returns {string} Returns the raw `toStringTag`. - */ - function getRawTag(value) { - var isOwn = hasOwnProperty$4.call(value, symToStringTag$1), - tag = value[symToStringTag$1]; - - try { - value[symToStringTag$1] = undefined; - var unmasked = true; - } catch (e) {} - - var result = nativeObjectToString$1.call(value); - if (unmasked) { - if (isOwn) { - value[symToStringTag$1] = tag; - } else { - delete value[symToStringTag$1]; - } - } - return result; - } - - var _getRawTag = getRawTag; - - /** Used for built-in method references. */ - var objectProto$4 = Object.prototype; - - /** - * Used to resolve the - * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring) - * of values. - */ - var nativeObjectToString = objectProto$4.toString; - - /** - * Converts `value` to a string using `Object.prototype.toString`. - * - * @private - * @param {*} value The value to convert. - * @returns {string} Returns the converted string. - */ - function objectToString(value) { - return nativeObjectToString.call(value); - } - - var _objectToString = objectToString; - - /** `Object#toString` result references. */ - var nullTag = '[object Null]', - undefinedTag = '[object Undefined]'; - - /** Built-in value references. */ - var symToStringTag = _Symbol ? _Symbol.toStringTag : undefined; - - /** - * The base implementation of `getTag` without fallbacks for buggy environments. - * - * @private - * @param {*} value The value to query. - * @returns {string} Returns the `toStringTag`. - */ - function baseGetTag(value) { - if (value == null) { - return value === undefined ? undefinedTag : nullTag; - } - return (symToStringTag && symToStringTag in Object(value)) - ? _getRawTag(value) - : _objectToString(value); - } - - var _baseGetTag = baseGetTag; - - /** - * Checks if `value` is object-like. A value is object-like if it's not `null` - * and has a `typeof` result of "object". - * - * @static - * @memberOf _ - * @since 4.0.0 - * @category Lang - * @param {*} value The value to check. - * @returns {boolean} Returns `true` if `value` is object-like, else `false`. - * @example - * - * _.isObjectLike({}); - * // => true - * - * _.isObjectLike([1, 2, 3]); - * // => true - * - * _.isObjectLike(_.noop); - * // => false - * - * _.isObjectLike(null); - * // => false - */ - function isObjectLike(value) { - return value != null && typeof value == 'object'; - } - - var isObjectLike_1 = isObjectLike; - - /** `Object#toString` result references. */ - var symbolTag = '[object Symbol]'; - - /** - * Checks if `value` is classified as a `Symbol` primitive or object. - * - * @static - * @memberOf _ - * @since 4.0.0 - * @category Lang - * @param {*} value The value to check. - * @returns {boolean} Returns `true` if `value` is a symbol, else `false`. - * @example - * - * _.isSymbol(Symbol.iterator); - * // => true - * - * _.isSymbol('abc'); - * // => false - */ - function isSymbol(value) { - return typeof value == 'symbol' || - (isObjectLike_1(value) && _baseGetTag(value) == symbolTag); - } - - var isSymbol_1 = isSymbol; - - /** Used as references for various `Number` constants. */ - var NAN = 0 / 0; - - /** Used to detect bad signed hexadecimal string values. */ - var reIsBadHex = /^[-+]0x[0-9a-f]+$/i; - - /** Used to detect binary string values. */ - var reIsBinary = /^0b[01]+$/i; - - /** Used to detect octal string values. */ - var reIsOctal = /^0o[0-7]+$/i; - - /** Built-in method references without a dependency on `root`. */ - var freeParseInt = parseInt; - - /** - * Converts `value` to a number. - * - * @static - * @memberOf _ - * @since 4.0.0 - * @category Lang - * @param {*} value The value to process. - * @returns {number} Returns the number. - * @example - * - * _.toNumber(3.2); - * // => 3.2 - * - * _.toNumber(Number.MIN_VALUE); - * // => 5e-324 - * - * _.toNumber(Infinity); - * // => Infinity - * - * _.toNumber('3.2'); - * // => 3.2 - */ - function toNumber(value) { - if (typeof value == 'number') { - return value; - } - if (isSymbol_1(value)) { - return NAN; - } - if (isObject_1(value)) { - var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = isObject_1(other) ? (other + '') : other; - } - if (typeof value != 'string') { - return value === 0 ? value : +value; - } - value = _baseTrim(value); - var isBinary = reIsBinary.test(value); - return (isBinary || reIsOctal.test(value)) - ? freeParseInt(value.slice(2), isBinary ? 2 : 8) - : (reIsBadHex.test(value) ? NAN : +value); - } - - var toNumber_1 = toNumber; - - /** Error message constants. */ - var FUNC_ERROR_TEXT$1 = 'Expected a function'; - - /* Built-in method references for those with the same name as other `lodash` methods. */ - var nativeMax = Math.max, - nativeMin = Math.min; - - /** - * Creates a debounced function that delays invoking `func` until after `wait` - * milliseconds have elapsed since the last time the debounced function was - * invoked. The debounced function comes with a `cancel` method to cancel - * delayed `func` invocations and a `flush` method to immediately invoke them. - * Provide `options` to indicate whether `func` should be invoked on the - * leading and/or trailing edge of the `wait` timeout. The `func` is invoked - * with the last arguments provided to the debounced function. Subsequent - * calls to the debounced function return the result of the last `func` - * invocation. - * - * **Note:** If `leading` and `trailing` options are `true`, `func` is - * invoked on the trailing edge of the timeout only if the debounced function - * is invoked more than once during the `wait` timeout. - * - * If `wait` is `0` and `leading` is `false`, `func` invocation is deferred - * until to the next tick, similar to `setTimeout` with a timeout of `0`. - * - * See [David Corbacho's article](https://css-tricks.com/debouncing-throttling-explained-examples/) - * for details over the differences between `_.debounce` and `_.throttle`. - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Function - * @param {Function} func The function to debounce. - * @param {number} [wait=0] The number of milliseconds to delay. - * @param {Object} [options={}] The options object. - * @param {boolean} [options.leading=false] - * Specify invoking on the leading edge of the timeout. - * @param {number} [options.maxWait] - * The maximum time `func` is allowed to be delayed before it's invoked. - * @param {boolean} [options.trailing=true] - * Specify invoking on the trailing edge of the timeout. - * @returns {Function} Returns the new debounced function. - * @example - * - * // Avoid costly calculations while the window size is in flux. - * jQuery(window).on('resize', _.debounce(calculateLayout, 150)); - * - * // Invoke `sendMail` when clicked, debouncing subsequent calls. - * jQuery(element).on('click', _.debounce(sendMail, 300, { - * 'leading': true, - * 'trailing': false - * })); - * - * // Ensure `batchLog` is invoked once after 1 second of debounced calls. - * var debounced = _.debounce(batchLog, 250, { 'maxWait': 1000 }); - * var source = new EventSource('/stream'); - * jQuery(source).on('message', debounced); - * - * // Cancel the trailing debounced invocation. - * jQuery(window).on('popstate', debounced.cancel); - */ - function debounce(func, wait, options) { - var lastArgs, - lastThis, - maxWait, - result, - timerId, - lastCallTime, - lastInvokeTime = 0, - leading = false, - maxing = false, - trailing = true; - - if (typeof func != 'function') { - throw new TypeError(FUNC_ERROR_TEXT$1); - } - wait = toNumber_1(wait) || 0; - if (isObject_1(options)) { - leading = !!options.leading; - maxing = 'maxWait' in options; - maxWait = maxing ? nativeMax(toNumber_1(options.maxWait) || 0, wait) : maxWait; - trailing = 'trailing' in options ? !!options.trailing : trailing; - } - - function invokeFunc(time) { - var args = lastArgs, - thisArg = lastThis; - - lastArgs = lastThis = undefined; - lastInvokeTime = time; - result = func.apply(thisArg, args); - return result; - } - - function leadingEdge(time) { - // Reset any `maxWait` timer. - lastInvokeTime = time; - // Start the timer for the trailing edge. - timerId = setTimeout(timerExpired, wait); - // Invoke the leading edge. - return leading ? invokeFunc(time) : result; - } - - function remainingWait(time) { - var timeSinceLastCall = time - lastCallTime, - timeSinceLastInvoke = time - lastInvokeTime, - timeWaiting = wait - timeSinceLastCall; - - return maxing - ? nativeMin(timeWaiting, maxWait - timeSinceLastInvoke) - : timeWaiting; - } - - function shouldInvoke(time) { - var timeSinceLastCall = time - lastCallTime, - timeSinceLastInvoke = time - lastInvokeTime; - - // Either this is the first call, activity has stopped and we're at the - // trailing edge, the system time has gone backwards and we're treating - // it as the trailing edge, or we've hit the `maxWait` limit. - return (lastCallTime === undefined || (timeSinceLastCall >= wait) || - (timeSinceLastCall < 0) || (maxing && timeSinceLastInvoke >= maxWait)); - } - - function timerExpired() { - var time = now_1(); - if (shouldInvoke(time)) { - return trailingEdge(time); - } - // Restart the timer. - timerId = setTimeout(timerExpired, remainingWait(time)); - } - - function trailingEdge(time) { - timerId = undefined; - - // Only invoke if we have `lastArgs` which means `func` has been - // debounced at least once. - if (trailing && lastArgs) { - return invokeFunc(time); - } - lastArgs = lastThis = undefined; - return result; - } - - function cancel() { - if (timerId !== undefined) { - clearTimeout(timerId); - } - lastInvokeTime = 0; - lastArgs = lastCallTime = lastThis = timerId = undefined; - } - - function flush() { - return timerId === undefined ? result : trailingEdge(now_1()); - } - - function debounced() { - var time = now_1(), - isInvoking = shouldInvoke(time); - - lastArgs = arguments; - lastThis = this; - lastCallTime = time; - - if (isInvoking) { - if (timerId === undefined) { - return leadingEdge(lastCallTime); - } - if (maxing) { - // Handle invocations in a tight loop. - clearTimeout(timerId); - timerId = setTimeout(timerExpired, wait); - return invokeFunc(lastCallTime); - } - } - if (timerId === undefined) { - timerId = setTimeout(timerExpired, wait); - } - return result; - } - debounced.cancel = cancel; - debounced.flush = flush; - return debounced; - } - - var debounce_1 = debounce; - - var performance = _window ? _window.performance : null; - var pnow = performance && performance.now ? function () { - return performance.now(); - } : function () { - return Date.now(); - }; - var raf = function () { - if (_window) { - if (_window.requestAnimationFrame) { - return function (fn) { - _window.requestAnimationFrame(fn); - }; - } else if (_window.mozRequestAnimationFrame) { - return function (fn) { - _window.mozRequestAnimationFrame(fn); - }; - } else if (_window.webkitRequestAnimationFrame) { - return function (fn) { - _window.webkitRequestAnimationFrame(fn); - }; - } else if (_window.msRequestAnimationFrame) { - return function (fn) { - _window.msRequestAnimationFrame(fn); - }; - } - } - return function (fn) { - if (fn) { - setTimeout(function () { - fn(pnow()); - }, 1000 / 60); - } - }; - }(); - var requestAnimationFrame = function requestAnimationFrame(fn) { - return raf(fn); - }; - var performanceNow = pnow; - - var DEFAULT_HASH_SEED = 9261; - var K = 65599; // 37 also works pretty well - var DEFAULT_HASH_SEED_ALT = 5381; - var hashIterableInts = function hashIterableInts(iterator) { - var seed = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : DEFAULT_HASH_SEED; - // sdbm/string-hash - var hash = seed; - var entry; - for (;;) { - entry = iterator.next(); - if (entry.done) { - break; - } - hash = hash * K + entry.value | 0; - } - return hash; - }; - var hashInt = function hashInt(num) { - var seed = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : DEFAULT_HASH_SEED; - // sdbm/string-hash - return seed * K + num | 0; - }; - var hashIntAlt = function hashIntAlt(num) { - var seed = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : DEFAULT_HASH_SEED_ALT; - // djb2/string-hash - return (seed << 5) + seed + num | 0; - }; - var combineHashes = function combineHashes(hash1, hash2) { - return hash1 * 0x200000 + hash2; - }; - var combineHashesArray = function combineHashesArray(hashes) { - return hashes[0] * 0x200000 + hashes[1]; - }; - var hashArrays = function hashArrays(hashes1, hashes2) { - return [hashInt(hashes1[0], hashes2[0]), hashIntAlt(hashes1[1], hashes2[1])]; - }; - var hashIntsArray = function hashIntsArray(ints, seed) { - var entry = { - value: 0, - done: false - }; - var i = 0; - var length = ints.length; - var iterator = { - next: function next() { - if (i < length) { - entry.value = ints[i++]; - } else { - entry.done = true; - } - return entry; - } - }; - return hashIterableInts(iterator, seed); - }; - var hashString = function hashString(str, seed) { - var entry = { - value: 0, - done: false - }; - var i = 0; - var length = str.length; - var iterator = { - next: function next() { - if (i < length) { - entry.value = str.charCodeAt(i++); - } else { - entry.done = true; - } - return entry; - } - }; - return hashIterableInts(iterator, seed); - }; - var hashStrings = function hashStrings() { - return hashStringsArray(arguments); - }; - var hashStringsArray = function hashStringsArray(strs) { - var hash; - for (var i = 0; i < strs.length; i++) { - var str = strs[i]; - if (i === 0) { - hash = hashString(str); - } else { - hash = hashString(str, hash); - } - } - return hash; - }; - - /*global console */ - var warningsEnabled = true; - var warnSupported = console.warn != null; // eslint-disable-line no-console - var traceSupported = console.trace != null; // eslint-disable-line no-console - - var MAX_INT$1 = Number.MAX_SAFE_INTEGER || 9007199254740991; - var trueify = function trueify() { - return true; - }; - var falsify = function falsify() { - return false; - }; - var zeroify = function zeroify() { - return 0; - }; - var noop$1 = function noop() {}; - var error = function error(msg) { - throw new Error(msg); - }; - var warnings = function warnings(enabled) { - if (enabled !== undefined) { - warningsEnabled = !!enabled; - } else { - return warningsEnabled; - } - }; - var warn = function warn(msg) { - /* eslint-disable no-console */ - if (!warnings()) { - return; - } - if (warnSupported) { - console.warn(msg); - } else { - console.log(msg); - if (traceSupported) { - console.trace(); - } - } - }; /* eslint-enable */ - - var clone = function clone(obj) { - return extend({}, obj); - }; - - // gets a shallow copy of the argument - var copy = function copy(obj) { - if (obj == null) { - return obj; - } - if (array(obj)) { - return obj.slice(); - } else if (plainObject(obj)) { - return clone(obj); - } else { - return obj; - } - }; - var copyArray$1 = function copyArray(arr) { - return arr.slice(); - }; - var uuid = function uuid(a, b /* placeholders */) { - for ( - // loop :) - b = a = ''; - // b - result , a - numeric letiable - a++ < 36; - // - b += a * 51 & 52 // if "a" is not 9 or 14 or 19 or 24 - ? - // return a random number or 4 - (a ^ 15 // if "a" is not 15 - ? - // generate a random number from 0 to 15 - 8 ^ Math.random() * (a ^ 20 ? 16 : 4) // unless "a" is 20, in which case a random number from 8 to 11 - : 4 // otherwise 4 - ).toString(16) : '-' // in other cases (if "a" is 9,14,19,24) insert "-" - ) { - } - return b; - }; - var _staticEmptyObject = {}; - var staticEmptyObject = function staticEmptyObject() { - return _staticEmptyObject; - }; - var defaults$g = function defaults(_defaults) { - var keys = Object.keys(_defaults); - return function (opts) { - var filledOpts = {}; - for (var i = 0; i < keys.length; i++) { - var key = keys[i]; - var optVal = opts == null ? undefined : opts[key]; - filledOpts[key] = optVal === undefined ? _defaults[key] : optVal; - } - return filledOpts; - }; - }; - var removeFromArray = function removeFromArray(arr, ele, oneCopy) { - for (var i = arr.length - 1; i >= 0; i--) { - if (arr[i] === ele) { - arr.splice(i, 1); - if (oneCopy) { - break; - } - } - } - }; - var clearArray = function clearArray(arr) { - arr.splice(0, arr.length); - }; - var push = function push(arr, otherArr) { - for (var i = 0; i < otherArr.length; i++) { - var el = otherArr[i]; - arr.push(el); - } - }; - var getPrefixedProperty = function getPrefixedProperty(obj, propName, prefix) { - if (prefix) { - propName = prependCamel(prefix, propName); // e.g. (labelWidth, source) => sourceLabelWidth - } - - return obj[propName]; - }; - var setPrefixedProperty = function setPrefixedProperty(obj, propName, prefix, value) { - if (prefix) { - propName = prependCamel(prefix, propName); // e.g. (labelWidth, source) => sourceLabelWidth - } - - obj[propName] = value; - }; - - /* global Map */ - var ObjectMap = /*#__PURE__*/function () { - function ObjectMap() { - _classCallCheck(this, ObjectMap); - this._obj = {}; - } - _createClass(ObjectMap, [{ - key: "set", - value: function set(key, val) { - this._obj[key] = val; - return this; - } - }, { - key: "delete", - value: function _delete(key) { - this._obj[key] = undefined; - return this; - } - }, { - key: "clear", - value: function clear() { - this._obj = {}; - } - }, { - key: "has", - value: function has(key) { - return this._obj[key] !== undefined; - } - }, { - key: "get", - value: function get(key) { - return this._obj[key]; - } - }]); - return ObjectMap; - }(); - var Map$2 = typeof Map !== 'undefined' ? Map : ObjectMap; - - /* global Set */ - - var undef = "undefined" ; - var ObjectSet = /*#__PURE__*/function () { - function ObjectSet(arrayOrObjectSet) { - _classCallCheck(this, ObjectSet); - this._obj = Object.create(null); - this.size = 0; - if (arrayOrObjectSet != null) { - var arr; - if (arrayOrObjectSet.instanceString != null && arrayOrObjectSet.instanceString() === this.instanceString()) { - arr = arrayOrObjectSet.toArray(); - } else { - arr = arrayOrObjectSet; - } - for (var i = 0; i < arr.length; i++) { - this.add(arr[i]); - } - } - } - _createClass(ObjectSet, [{ - key: "instanceString", - value: function instanceString() { - return 'set'; - } - }, { - key: "add", - value: function add(val) { - var o = this._obj; - if (o[val] !== 1) { - o[val] = 1; - this.size++; - } - } - }, { - key: "delete", - value: function _delete(val) { - var o = this._obj; - if (o[val] === 1) { - o[val] = 0; - this.size--; - } - } - }, { - key: "clear", - value: function clear() { - this._obj = Object.create(null); - } - }, { - key: "has", - value: function has(val) { - return this._obj[val] === 1; - } - }, { - key: "toArray", - value: function toArray() { - var _this = this; - return Object.keys(this._obj).filter(function (key) { - return _this.has(key); - }); - } - }, { - key: "forEach", - value: function forEach(callback, thisArg) { - return this.toArray().forEach(callback, thisArg); - } - }]); - return ObjectSet; - }(); - var Set$1 = (typeof Set === "undefined" ? "undefined" : _typeof(Set)) !== undef ? Set : ObjectSet; - - // represents a node or an edge - var Element = function Element(cy, params) { - var restore = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : true; - if (cy === undefined || params === undefined || !core(cy)) { - error('An element must have a core reference and parameters set'); - return; - } - var group = params.group; - - // try to automatically infer the group if unspecified - if (group == null) { - if (params.data && params.data.source != null && params.data.target != null) { - group = 'edges'; - } else { - group = 'nodes'; - } - } - - // validate group - if (group !== 'nodes' && group !== 'edges') { - error('An element must be of type `nodes` or `edges`; you specified `' + group + '`'); - return; - } - - // make the element array-like, just like a collection - this.length = 1; - this[0] = this; - - // NOTE: when something is added here, add also to ele.json() - var _p = this._private = { - cy: cy, - single: true, - // indicates this is an element - data: params.data || {}, - // data object - position: params.position || { - x: 0, - y: 0 - }, - // (x, y) position pair - autoWidth: undefined, - // width and height of nodes calculated by the renderer when set to special 'auto' value - autoHeight: undefined, - autoPadding: undefined, - compoundBoundsClean: false, - // whether the compound dimensions need to be recalculated the next time dimensions are read - listeners: [], - // array of bound listeners - group: group, - // string; 'nodes' or 'edges' - style: {}, - // properties as set by the style - rstyle: {}, - // properties for style sent from the renderer to the core - styleCxts: [], - // applied style contexts from the styler - styleKeys: {}, - // per-group keys of style property values - removed: true, - // whether it's inside the vis; true if removed (set true here since we call restore) - selected: params.selected ? true : false, - // whether it's selected - selectable: params.selectable === undefined ? true : params.selectable ? true : false, - // whether it's selectable - locked: params.locked ? true : false, - // whether the element is locked (cannot be moved) - grabbed: false, - // whether the element is grabbed by the mouse; renderer sets this privately - grabbable: params.grabbable === undefined ? true : params.grabbable ? true : false, - // whether the element can be grabbed - pannable: params.pannable === undefined ? group === 'edges' ? true : false : params.pannable ? true : false, - // whether the element has passthrough panning enabled - active: false, - // whether the element is active from user interaction - classes: new Set$1(), - // map ( className => true ) - animation: { - // object for currently-running animations - current: [], - queue: [] - }, - rscratch: {}, - // object in which the renderer can store information - scratch: params.scratch || {}, - // scratch objects - edges: [], - // array of connected edges - children: [], - // array of children - parent: params.parent && params.parent.isNode() ? params.parent : null, - // parent ref - traversalCache: {}, - // cache of output of traversal functions - backgrounding: false, - // whether background images are loading - bbCache: null, - // cache of the current bounding box - bbCacheShift: { - x: 0, - y: 0 - }, - // shift applied to cached bb to be applied on next get - bodyBounds: null, - // bounds cache of element body, w/o overlay - overlayBounds: null, - // bounds cache of element body, including overlay - labelBounds: { - // bounds cache of labels - all: null, - source: null, - target: null, - main: null - }, - arrowBounds: { - // bounds cache of edge arrows - source: null, - target: null, - 'mid-source': null, - 'mid-target': null - } - }; - if (_p.position.x == null) { - _p.position.x = 0; - } - if (_p.position.y == null) { - _p.position.y = 0; - } - - // renderedPosition overrides if specified - if (params.renderedPosition) { - var rpos = params.renderedPosition; - var pan = cy.pan(); - var zoom = cy.zoom(); - _p.position = { - x: (rpos.x - pan.x) / zoom, - y: (rpos.y - pan.y) / zoom - }; - } - var classes = []; - if (array(params.classes)) { - classes = params.classes; - } else if (string(params.classes)) { - classes = params.classes.split(/\s+/); - } - for (var i = 0, l = classes.length; i < l; i++) { - var cls = classes[i]; - if (!cls || cls === '') { - continue; - } - _p.classes.add(cls); - } - this.createEmitter(); - var bypass = params.style || params.css; - if (bypass) { - warn('Setting a `style` bypass at element creation should be done only when absolutely necessary. Try to use the stylesheet instead.'); - this.style(bypass); - } - if (restore === undefined || restore) { - this.restore(); - } - }; - - var defineSearch = function defineSearch(params) { - params = { - bfs: params.bfs || !params.dfs, - dfs: params.dfs || !params.bfs - }; - - // from pseudocode on wikipedia - return function searchFn(roots, fn, directed) { - var options; - if (plainObject(roots) && !elementOrCollection(roots)) { - options = roots; - roots = options.roots || options.root; - fn = options.visit; - directed = options.directed; - } - directed = arguments.length === 2 && !fn$6(fn) ? fn : directed; - fn = fn$6(fn) ? fn : function () {}; - var cy = this._private.cy; - var v = roots = string(roots) ? this.filter(roots) : roots; - var Q = []; - var connectedNodes = []; - var connectedBy = {}; - var id2depth = {}; - var V = {}; - var j = 0; - var found; - var _this$byGroup = this.byGroup(), - nodes = _this$byGroup.nodes, - edges = _this$byGroup.edges; - - // enqueue v - for (var i = 0; i < v.length; i++) { - var vi = v[i]; - var viId = vi.id(); - if (vi.isNode()) { - Q.unshift(vi); - if (params.bfs) { - V[viId] = true; - connectedNodes.push(vi); - } - id2depth[viId] = 0; - } - } - var _loop = function _loop() { - var v = params.bfs ? Q.shift() : Q.pop(); - var vId = v.id(); - if (params.dfs) { - if (V[vId]) { - return "continue"; - } - V[vId] = true; - connectedNodes.push(v); - } - var depth = id2depth[vId]; - var prevEdge = connectedBy[vId]; - var src = prevEdge != null ? prevEdge.source() : null; - var tgt = prevEdge != null ? prevEdge.target() : null; - var prevNode = prevEdge == null ? undefined : v.same(src) ? tgt[0] : src[0]; - var ret = void 0; - ret = fn(v, prevEdge, prevNode, j++, depth); - if (ret === true) { - found = v; - return "break"; - } - if (ret === false) { - return "break"; - } - var vwEdges = v.connectedEdges().filter(function (e) { - return (!directed || e.source().same(v)) && edges.has(e); - }); - for (var _i2 = 0; _i2 < vwEdges.length; _i2++) { - var e = vwEdges[_i2]; - var w = e.connectedNodes().filter(function (n) { - return !n.same(v) && nodes.has(n); - }); - var wId = w.id(); - if (w.length !== 0 && !V[wId]) { - w = w[0]; - Q.push(w); - if (params.bfs) { - V[wId] = true; - connectedNodes.push(w); - } - connectedBy[wId] = e; - id2depth[wId] = id2depth[vId] + 1; - } - } - }; - while (Q.length !== 0) { - var _ret = _loop(); - if (_ret === "continue") continue; - if (_ret === "break") break; - } - var connectedEles = cy.collection(); - for (var _i = 0; _i < connectedNodes.length; _i++) { - var node = connectedNodes[_i]; - var edge = connectedBy[node.id()]; - if (edge != null) { - connectedEles.push(edge); - } - connectedEles.push(node); - } - return { - path: cy.collection(connectedEles), - found: cy.collection(found) - }; - }; - }; - - // search, spanning trees, etc - var elesfn$v = { - breadthFirstSearch: defineSearch({ - bfs: true - }), - depthFirstSearch: defineSearch({ - dfs: true - }) - }; - - // nice, short mathematical alias - elesfn$v.bfs = elesfn$v.breadthFirstSearch; - elesfn$v.dfs = elesfn$v.depthFirstSearch; - - var heap$1 = createCommonjsModule(function (module, exports) { - // Generated by CoffeeScript 1.8.0 - (function() { - var Heap, defaultCmp, floor, heapify, heappop, heappush, heappushpop, heapreplace, insort, min, nlargest, nsmallest, updateItem, _siftdown, _siftup; - - floor = Math.floor, min = Math.min; - - - /* - Default comparison function to be used - */ - - defaultCmp = function(x, y) { - if (x < y) { - return -1; - } - if (x > y) { - return 1; - } - return 0; - }; - - - /* - Insert item x in list a, and keep it sorted assuming a is sorted. - - If x is already in a, insert it to the right of the rightmost x. - - Optional args lo (default 0) and hi (default a.length) bound the slice - of a to be searched. - */ - - insort = function(a, x, lo, hi, cmp) { - var mid; - if (lo == null) { - lo = 0; - } - if (cmp == null) { - cmp = defaultCmp; - } - if (lo < 0) { - throw new Error('lo must be non-negative'); - } - if (hi == null) { - hi = a.length; - } - while (lo < hi) { - mid = floor((lo + hi) / 2); - if (cmp(x, a[mid]) < 0) { - hi = mid; - } else { - lo = mid + 1; - } - } - return ([].splice.apply(a, [lo, lo - lo].concat(x)), x); - }; - - - /* - Push item onto heap, maintaining the heap invariant. - */ - - heappush = function(array, item, cmp) { - if (cmp == null) { - cmp = defaultCmp; - } - array.push(item); - return _siftdown(array, 0, array.length - 1, cmp); - }; - - - /* - Pop the smallest item off the heap, maintaining the heap invariant. - */ - - heappop = function(array, cmp) { - var lastelt, returnitem; - if (cmp == null) { - cmp = defaultCmp; - } - lastelt = array.pop(); - if (array.length) { - returnitem = array[0]; - array[0] = lastelt; - _siftup(array, 0, cmp); - } else { - returnitem = lastelt; - } - return returnitem; - }; - - - /* - Pop and return the current smallest value, and add the new item. - - This is more efficient than heappop() followed by heappush(), and can be - more appropriate when using a fixed size heap. Note that the value - returned may be larger than item! That constrains reasonable use of - this routine unless written as part of a conditional replacement: - if item > array[0] - item = heapreplace(array, item) - */ - - heapreplace = function(array, item, cmp) { - var returnitem; - if (cmp == null) { - cmp = defaultCmp; - } - returnitem = array[0]; - array[0] = item; - _siftup(array, 0, cmp); - return returnitem; - }; - - - /* - Fast version of a heappush followed by a heappop. - */ - - heappushpop = function(array, item, cmp) { - var _ref; - if (cmp == null) { - cmp = defaultCmp; - } - if (array.length && cmp(array[0], item) < 0) { - _ref = [array[0], item], item = _ref[0], array[0] = _ref[1]; - _siftup(array, 0, cmp); - } - return item; - }; - - - /* - Transform list into a heap, in-place, in O(array.length) time. - */ - - heapify = function(array, cmp) { - var i, _i, _len, _ref1, _results, _results1; - if (cmp == null) { - cmp = defaultCmp; - } - _ref1 = (function() { - _results1 = []; - for (var _j = 0, _ref = floor(array.length / 2); 0 <= _ref ? _j < _ref : _j > _ref; 0 <= _ref ? _j++ : _j--){ _results1.push(_j); } - return _results1; - }).apply(this).reverse(); - _results = []; - for (_i = 0, _len = _ref1.length; _i < _len; _i++) { - i = _ref1[_i]; - _results.push(_siftup(array, i, cmp)); - } - return _results; - }; - - - /* - Update the position of the given item in the heap. - This function should be called every time the item is being modified. - */ - - updateItem = function(array, item, cmp) { - var pos; - if (cmp == null) { - cmp = defaultCmp; - } - pos = array.indexOf(item); - if (pos === -1) { - return; - } - _siftdown(array, 0, pos, cmp); - return _siftup(array, pos, cmp); - }; - - - /* - Find the n largest elements in a dataset. - */ - - nlargest = function(array, n, cmp) { - var elem, result, _i, _len, _ref; - if (cmp == null) { - cmp = defaultCmp; - } - result = array.slice(0, n); - if (!result.length) { - return result; - } - heapify(result, cmp); - _ref = array.slice(n); - for (_i = 0, _len = _ref.length; _i < _len; _i++) { - elem = _ref[_i]; - heappushpop(result, elem, cmp); - } - return result.sort(cmp).reverse(); - }; - - - /* - Find the n smallest elements in a dataset. - */ - - nsmallest = function(array, n, cmp) { - var elem, los, result, _i, _j, _len, _ref, _ref1, _results; - if (cmp == null) { - cmp = defaultCmp; - } - if (n * 10 <= array.length) { - result = array.slice(0, n).sort(cmp); - if (!result.length) { - return result; - } - los = result[result.length - 1]; - _ref = array.slice(n); - for (_i = 0, _len = _ref.length; _i < _len; _i++) { - elem = _ref[_i]; - if (cmp(elem, los) < 0) { - insort(result, elem, 0, null, cmp); - result.pop(); - los = result[result.length - 1]; - } - } - return result; - } - heapify(array, cmp); - _results = []; - for (_j = 0, _ref1 = min(n, array.length); 0 <= _ref1 ? _j < _ref1 : _j > _ref1; 0 <= _ref1 ? ++_j : --_j) { - _results.push(heappop(array, cmp)); - } - return _results; - }; - - _siftdown = function(array, startpos, pos, cmp) { - var newitem, parent, parentpos; - if (cmp == null) { - cmp = defaultCmp; - } - newitem = array[pos]; - while (pos > startpos) { - parentpos = (pos - 1) >> 1; - parent = array[parentpos]; - if (cmp(newitem, parent) < 0) { - array[pos] = parent; - pos = parentpos; - continue; - } - break; - } - return array[pos] = newitem; - }; - - _siftup = function(array, pos, cmp) { - var childpos, endpos, newitem, rightpos, startpos; - if (cmp == null) { - cmp = defaultCmp; - } - endpos = array.length; - startpos = pos; - newitem = array[pos]; - childpos = 2 * pos + 1; - while (childpos < endpos) { - rightpos = childpos + 1; - if (rightpos < endpos && !(cmp(array[childpos], array[rightpos]) < 0)) { - childpos = rightpos; - } - array[pos] = array[childpos]; - pos = childpos; - childpos = 2 * pos + 1; - } - array[pos] = newitem; - return _siftdown(array, startpos, pos, cmp); - }; - - Heap = (function() { - Heap.push = heappush; - - Heap.pop = heappop; - - Heap.replace = heapreplace; - - Heap.pushpop = heappushpop; - - Heap.heapify = heapify; - - Heap.updateItem = updateItem; - - Heap.nlargest = nlargest; - - Heap.nsmallest = nsmallest; - - function Heap(cmp) { - this.cmp = cmp != null ? cmp : defaultCmp; - this.nodes = []; - } - - Heap.prototype.push = function(x) { - return heappush(this.nodes, x, this.cmp); - }; - - Heap.prototype.pop = function() { - return heappop(this.nodes, this.cmp); - }; - - Heap.prototype.peek = function() { - return this.nodes[0]; - }; - - Heap.prototype.contains = function(x) { - return this.nodes.indexOf(x) !== -1; - }; - - Heap.prototype.replace = function(x) { - return heapreplace(this.nodes, x, this.cmp); - }; - - Heap.prototype.pushpop = function(x) { - return heappushpop(this.nodes, x, this.cmp); - }; - - Heap.prototype.heapify = function() { - return heapify(this.nodes, this.cmp); - }; - - Heap.prototype.updateItem = function(x) { - return updateItem(this.nodes, x, this.cmp); - }; - - Heap.prototype.clear = function() { - return this.nodes = []; - }; - - Heap.prototype.empty = function() { - return this.nodes.length === 0; - }; - - Heap.prototype.size = function() { - return this.nodes.length; - }; - - Heap.prototype.clone = function() { - var heap; - heap = new Heap(); - heap.nodes = this.nodes.slice(0); - return heap; - }; - - Heap.prototype.toArray = function() { - return this.nodes.slice(0); - }; - - Heap.prototype.insert = Heap.prototype.push; - - Heap.prototype.top = Heap.prototype.peek; - - Heap.prototype.front = Heap.prototype.peek; - - Heap.prototype.has = Heap.prototype.contains; - - Heap.prototype.copy = Heap.prototype.clone; - - return Heap; - - })(); - - (function(root, factory) { - { - return module.exports = factory(); - } - })(this, function() { - return Heap; - }); - - }).call(commonjsGlobal); - }); - - var heap = heap$1; - - var dijkstraDefaults = defaults$g({ - root: null, - weight: function weight(edge) { - return 1; - }, - directed: false - }); - var elesfn$u = { - dijkstra: function dijkstra(options) { - if (!plainObject(options)) { - var args = arguments; - options = { - root: args[0], - weight: args[1], - directed: args[2] - }; - } - var _dijkstraDefaults = dijkstraDefaults(options), - root = _dijkstraDefaults.root, - weight = _dijkstraDefaults.weight, - directed = _dijkstraDefaults.directed; - var eles = this; - var weightFn = weight; - var source = string(root) ? this.filter(root)[0] : root[0]; - var dist = {}; - var prev = {}; - var knownDist = {}; - var _this$byGroup = this.byGroup(), - nodes = _this$byGroup.nodes, - edges = _this$byGroup.edges; - edges.unmergeBy(function (ele) { - return ele.isLoop(); - }); - var getDist = function getDist(node) { - return dist[node.id()]; - }; - var setDist = function setDist(node, d) { - dist[node.id()] = d; - Q.updateItem(node); - }; - var Q = new heap(function (a, b) { - return getDist(a) - getDist(b); - }); - for (var i = 0; i < nodes.length; i++) { - var node = nodes[i]; - dist[node.id()] = node.same(source) ? 0 : Infinity; - Q.push(node); - } - var distBetween = function distBetween(u, v) { - var uvs = (directed ? u.edgesTo(v) : u.edgesWith(v)).intersect(edges); - var smallestDistance = Infinity; - var smallestEdge; - for (var _i = 0; _i < uvs.length; _i++) { - var edge = uvs[_i]; - var _weight = weightFn(edge); - if (_weight < smallestDistance || !smallestEdge) { - smallestDistance = _weight; - smallestEdge = edge; - } - } - return { - edge: smallestEdge, - dist: smallestDistance - }; - }; - while (Q.size() > 0) { - var u = Q.pop(); - var smalletsDist = getDist(u); - var uid = u.id(); - knownDist[uid] = smalletsDist; - if (smalletsDist === Infinity) { - continue; - } - var neighbors = u.neighborhood().intersect(nodes); - for (var _i2 = 0; _i2 < neighbors.length; _i2++) { - var v = neighbors[_i2]; - var vid = v.id(); - var vDist = distBetween(u, v); - var alt = smalletsDist + vDist.dist; - if (alt < getDist(v)) { - setDist(v, alt); - prev[vid] = { - node: u, - edge: vDist.edge - }; - } - } // for - } // while - - return { - distanceTo: function distanceTo(node) { - var target = string(node) ? nodes.filter(node)[0] : node[0]; - return knownDist[target.id()]; - }, - pathTo: function pathTo(node) { - var target = string(node) ? nodes.filter(node)[0] : node[0]; - var S = []; - var u = target; - var uid = u.id(); - if (target.length > 0) { - S.unshift(target); - while (prev[uid]) { - var p = prev[uid]; - S.unshift(p.edge); - S.unshift(p.node); - u = p.node; - uid = u.id(); - } - } - return eles.spawn(S); - } - }; - } - }; - - var elesfn$t = { - // kruskal's algorithm (finds min spanning tree, assuming undirected graph) - // implemented from pseudocode from wikipedia - kruskal: function kruskal(weightFn) { - weightFn = weightFn || function (edge) { - return 1; - }; - var _this$byGroup = this.byGroup(), - nodes = _this$byGroup.nodes, - edges = _this$byGroup.edges; - var numNodes = nodes.length; - var forest = new Array(numNodes); - var A = nodes; // assumes byGroup() creates new collections that can be safely mutated - - var findSetIndex = function findSetIndex(ele) { - for (var i = 0; i < forest.length; i++) { - var eles = forest[i]; - if (eles.has(ele)) { - return i; - } - } - }; - - // start with one forest per node - for (var i = 0; i < numNodes; i++) { - forest[i] = this.spawn(nodes[i]); - } - var S = edges.sort(function (a, b) { - return weightFn(a) - weightFn(b); - }); - for (var _i = 0; _i < S.length; _i++) { - var edge = S[_i]; - var u = edge.source()[0]; - var v = edge.target()[0]; - var setUIndex = findSetIndex(u); - var setVIndex = findSetIndex(v); - var setU = forest[setUIndex]; - var setV = forest[setVIndex]; - if (setUIndex !== setVIndex) { - A.merge(edge); - - // combine forests for u and v - setU.merge(setV); - forest.splice(setVIndex, 1); - } - } - return A; - } - }; - - var aStarDefaults = defaults$g({ - root: null, - goal: null, - weight: function weight(edge) { - return 1; - }, - heuristic: function heuristic(edge) { - return 0; - }, - directed: false - }); - var elesfn$s = { - // Implemented from pseudocode from wikipedia - aStar: function aStar(options) { - var cy = this.cy(); - var _aStarDefaults = aStarDefaults(options), - root = _aStarDefaults.root, - goal = _aStarDefaults.goal, - heuristic = _aStarDefaults.heuristic, - directed = _aStarDefaults.directed, - weight = _aStarDefaults.weight; - root = cy.collection(root)[0]; - goal = cy.collection(goal)[0]; - var sid = root.id(); - var tid = goal.id(); - var gScore = {}; - var fScore = {}; - var closedSetIds = {}; - var openSet = new heap(function (a, b) { - return fScore[a.id()] - fScore[b.id()]; - }); - var openSetIds = new Set$1(); - var cameFrom = {}; - var cameFromEdge = {}; - var addToOpenSet = function addToOpenSet(ele, id) { - openSet.push(ele); - openSetIds.add(id); - }; - var cMin, cMinId; - var popFromOpenSet = function popFromOpenSet() { - cMin = openSet.pop(); - cMinId = cMin.id(); - openSetIds["delete"](cMinId); - }; - var isInOpenSet = function isInOpenSet(id) { - return openSetIds.has(id); - }; - addToOpenSet(root, sid); - gScore[sid] = 0; - fScore[sid] = heuristic(root); - - // Counter - var steps = 0; - - // Main loop - while (openSet.size() > 0) { - popFromOpenSet(); - steps++; - - // If we've found our goal, then we are done - if (cMinId === tid) { - var path = []; - var pathNode = goal; - var pathNodeId = tid; - var pathEdge = cameFromEdge[pathNodeId]; - for (;;) { - path.unshift(pathNode); - if (pathEdge != null) { - path.unshift(pathEdge); - } - pathNode = cameFrom[pathNodeId]; - if (pathNode == null) { - break; - } - pathNodeId = pathNode.id(); - pathEdge = cameFromEdge[pathNodeId]; - } - return { - found: true, - distance: gScore[cMinId], - path: this.spawn(path), - steps: steps - }; - } - - // Add cMin to processed nodes - closedSetIds[cMinId] = true; - - // Update scores for neighbors of cMin - // Take into account if graph is directed or not - var vwEdges = cMin._private.edges; - for (var i = 0; i < vwEdges.length; i++) { - var e = vwEdges[i]; - - // edge must be in set of calling eles - if (!this.hasElementWithId(e.id())) { - continue; - } - - // cMin must be the source of edge if directed - if (directed && e.data('source') !== cMinId) { - continue; - } - var wSrc = e.source(); - var wTgt = e.target(); - var w = wSrc.id() !== cMinId ? wSrc : wTgt; - var wid = w.id(); - - // node must be in set of calling eles - if (!this.hasElementWithId(wid)) { - continue; - } - - // if node is in closedSet, ignore it - if (closedSetIds[wid]) { - continue; - } - - // New tentative score for node w - var tempScore = gScore[cMinId] + weight(e); - - // Update gScore for node w if: - // w not present in openSet - // OR - // tentative gScore is less than previous value - - // w not in openSet - if (!isInOpenSet(wid)) { - gScore[wid] = tempScore; - fScore[wid] = tempScore + heuristic(w); - addToOpenSet(w, wid); - cameFrom[wid] = cMin; - cameFromEdge[wid] = e; - continue; - } - - // w already in openSet, but with greater gScore - if (tempScore < gScore[wid]) { - gScore[wid] = tempScore; - fScore[wid] = tempScore + heuristic(w); - cameFrom[wid] = cMin; - cameFromEdge[wid] = e; - } - } // End of neighbors update - } // End of main loop - - // If we've reached here, then we've not reached our goal - return { - found: false, - distance: undefined, - path: undefined, - steps: steps - }; - } - }; // elesfn - - var floydWarshallDefaults = defaults$g({ - weight: function weight(edge) { - return 1; - }, - directed: false - }); - var elesfn$r = { - // Implemented from pseudocode from wikipedia - floydWarshall: function floydWarshall(options) { - var cy = this.cy(); - var _floydWarshallDefault = floydWarshallDefaults(options), - weight = _floydWarshallDefault.weight, - directed = _floydWarshallDefault.directed; - var weightFn = weight; - var _this$byGroup = this.byGroup(), - nodes = _this$byGroup.nodes, - edges = _this$byGroup.edges; - var N = nodes.length; - var Nsq = N * N; - var indexOf = function indexOf(node) { - return nodes.indexOf(node); - }; - var atIndex = function atIndex(i) { - return nodes[i]; - }; - - // Initialize distance matrix - var dist = new Array(Nsq); - for (var n = 0; n < Nsq; n++) { - var j = n % N; - var i = (n - j) / N; - if (i === j) { - dist[n] = 0; - } else { - dist[n] = Infinity; - } - } - - // Initialize matrix used for path reconstruction - // Initialize distance matrix - var next = new Array(Nsq); - var edgeNext = new Array(Nsq); - - // Process edges - for (var _i = 0; _i < edges.length; _i++) { - var edge = edges[_i]; - var src = edge.source()[0]; - var tgt = edge.target()[0]; - if (src === tgt) { - continue; - } // exclude loops - - var s = indexOf(src); - var t = indexOf(tgt); - var st = s * N + t; // source to target index - var _weight = weightFn(edge); - - // Check if already process another edge between same 2 nodes - if (dist[st] > _weight) { - dist[st] = _weight; - next[st] = t; - edgeNext[st] = edge; - } - - // If undirected graph, process 'reversed' edge - if (!directed) { - var ts = t * N + s; // target to source index - - if (!directed && dist[ts] > _weight) { - dist[ts] = _weight; - next[ts] = s; - edgeNext[ts] = edge; - } - } - } - - // Main loop - for (var k = 0; k < N; k++) { - for (var _i2 = 0; _i2 < N; _i2++) { - var ik = _i2 * N + k; - for (var _j = 0; _j < N; _j++) { - var ij = _i2 * N + _j; - var kj = k * N + _j; - if (dist[ik] + dist[kj] < dist[ij]) { - dist[ij] = dist[ik] + dist[kj]; - next[ij] = next[ik]; - } - } - } - } - var getArgEle = function getArgEle(ele) { - return (string(ele) ? cy.filter(ele) : ele)[0]; - }; - var indexOfArgEle = function indexOfArgEle(ele) { - return indexOf(getArgEle(ele)); - }; - var res = { - distance: function distance(from, to) { - var i = indexOfArgEle(from); - var j = indexOfArgEle(to); - return dist[i * N + j]; - }, - path: function path(from, to) { - var i = indexOfArgEle(from); - var j = indexOfArgEle(to); - var fromNode = atIndex(i); - if (i === j) { - return fromNode.collection(); - } - if (next[i * N + j] == null) { - return cy.collection(); - } - var path = cy.collection(); - var prev = i; - var edge; - path.merge(fromNode); - while (i !== j) { - prev = i; - i = next[i * N + j]; - edge = edgeNext[prev * N + i]; - path.merge(edge); - path.merge(atIndex(i)); - } - return path; - } - }; - return res; - } // floydWarshall - }; // elesfn - - var bellmanFordDefaults = defaults$g({ - weight: function weight(edge) { - return 1; - }, - directed: false, - root: null - }); - var elesfn$q = { - // Implemented from pseudocode from wikipedia - bellmanFord: function bellmanFord(options) { - var _this = this; - var _bellmanFordDefaults = bellmanFordDefaults(options), - weight = _bellmanFordDefaults.weight, - directed = _bellmanFordDefaults.directed, - root = _bellmanFordDefaults.root; - var weightFn = weight; - var eles = this; - var cy = this.cy(); - var _this$byGroup = this.byGroup(), - edges = _this$byGroup.edges, - nodes = _this$byGroup.nodes; - var numNodes = nodes.length; - var infoMap = new Map$2(); - var hasNegativeWeightCycle = false; - var negativeWeightCycles = []; - root = cy.collection(root)[0]; // in case selector passed - - edges.unmergeBy(function (edge) { - return edge.isLoop(); - }); - var numEdges = edges.length; - var getInfo = function getInfo(node) { - var obj = infoMap.get(node.id()); - if (!obj) { - obj = {}; - infoMap.set(node.id(), obj); - } - return obj; - }; - var getNodeFromTo = function getNodeFromTo(to) { - return (string(to) ? cy.$(to) : to)[0]; - }; - var distanceTo = function distanceTo(to) { - return getInfo(getNodeFromTo(to)).dist; - }; - var pathTo = function pathTo(to) { - var thisStart = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : root; - var end = getNodeFromTo(to); - var path = []; - var node = end; - for (;;) { - if (node == null) { - return _this.spawn(); - } - var _getInfo = getInfo(node), - edge = _getInfo.edge, - pred = _getInfo.pred; - path.unshift(node[0]); - if (node.same(thisStart) && path.length > 0) { - break; - } - if (edge != null) { - path.unshift(edge); - } - node = pred; - } - return eles.spawn(path); - }; - - // Initializations { dist, pred, edge } - for (var i = 0; i < numNodes; i++) { - var node = nodes[i]; - var info = getInfo(node); - if (node.same(root)) { - info.dist = 0; - } else { - info.dist = Infinity; - } - info.pred = null; - info.edge = null; - } - - // Edges relaxation - var replacedEdge = false; - var checkForEdgeReplacement = function checkForEdgeReplacement(node1, node2, edge, info1, info2, weight) { - var dist = info1.dist + weight; - if (dist < info2.dist && !edge.same(info1.edge)) { - info2.dist = dist; - info2.pred = node1; - info2.edge = edge; - replacedEdge = true; - } - }; - for (var _i = 1; _i < numNodes; _i++) { - replacedEdge = false; - for (var e = 0; e < numEdges; e++) { - var edge = edges[e]; - var src = edge.source(); - var tgt = edge.target(); - var _weight = weightFn(edge); - var srcInfo = getInfo(src); - var tgtInfo = getInfo(tgt); - checkForEdgeReplacement(src, tgt, edge, srcInfo, tgtInfo, _weight); - - // If undirected graph, we need to take into account the 'reverse' edge - if (!directed) { - checkForEdgeReplacement(tgt, src, edge, tgtInfo, srcInfo, _weight); - } - } - if (!replacedEdge) { - break; - } - } - if (replacedEdge) { - // Check for negative weight cycles - var negativeWeightCycleIds = []; - for (var _e = 0; _e < numEdges; _e++) { - var _edge = edges[_e]; - var _src = _edge.source(); - var _tgt = _edge.target(); - var _weight2 = weightFn(_edge); - var srcDist = getInfo(_src).dist; - var tgtDist = getInfo(_tgt).dist; - if (srcDist + _weight2 < tgtDist || !directed && tgtDist + _weight2 < srcDist) { - if (!hasNegativeWeightCycle) { - warn('Graph contains a negative weight cycle for Bellman-Ford'); - hasNegativeWeightCycle = true; - } - if (options.findNegativeWeightCycles !== false) { - var negativeNodes = []; - if (srcDist + _weight2 < tgtDist) { - negativeNodes.push(_src); - } - if (!directed && tgtDist + _weight2 < srcDist) { - negativeNodes.push(_tgt); - } - var numNegativeNodes = negativeNodes.length; - for (var n = 0; n < numNegativeNodes; n++) { - var start = negativeNodes[n]; - var cycle = [start]; - cycle.push(getInfo(start).edge); - var _node = getInfo(start).pred; - while (cycle.indexOf(_node) === -1) { - cycle.push(_node); - cycle.push(getInfo(_node).edge); - _node = getInfo(_node).pred; - } - cycle = cycle.slice(cycle.indexOf(_node)); - var smallestId = cycle[0].id(); - var smallestIndex = 0; - for (var c = 2; c < cycle.length; c += 2) { - if (cycle[c].id() < smallestId) { - smallestId = cycle[c].id(); - smallestIndex = c; - } - } - cycle = cycle.slice(smallestIndex).concat(cycle.slice(0, smallestIndex)); - cycle.push(cycle[0]); - var cycleId = cycle.map(function (el) { - return el.id(); - }).join(","); - if (negativeWeightCycleIds.indexOf(cycleId) === -1) { - negativeWeightCycles.push(eles.spawn(cycle)); - negativeWeightCycleIds.push(cycleId); - } - } - } else { - break; - } - } - } - } - return { - distanceTo: distanceTo, - pathTo: pathTo, - hasNegativeWeightCycle: hasNegativeWeightCycle, - negativeWeightCycles: negativeWeightCycles - }; - } // bellmanFord - }; // elesfn - - var sqrt2 = Math.sqrt(2); - - // Function which colapses 2 (meta) nodes into one - // Updates the remaining edge lists - // Receives as a paramater the edge which causes the collapse - var collapse = function collapse(edgeIndex, nodeMap, remainingEdges) { - if (remainingEdges.length === 0) { - error("Karger-Stein must be run on a connected (sub)graph"); - } - var edgeInfo = remainingEdges[edgeIndex]; - var sourceIn = edgeInfo[1]; - var targetIn = edgeInfo[2]; - var partition1 = nodeMap[sourceIn]; - var partition2 = nodeMap[targetIn]; - var newEdges = remainingEdges; // re-use array - - // Delete all edges between partition1 and partition2 - for (var i = newEdges.length - 1; i >= 0; i--) { - var edge = newEdges[i]; - var src = edge[1]; - var tgt = edge[2]; - if (nodeMap[src] === partition1 && nodeMap[tgt] === partition2 || nodeMap[src] === partition2 && nodeMap[tgt] === partition1) { - newEdges.splice(i, 1); - } - } - - // All edges pointing to partition2 should now point to partition1 - for (var _i = 0; _i < newEdges.length; _i++) { - var _edge = newEdges[_i]; - if (_edge[1] === partition2) { - // Check source - newEdges[_i] = _edge.slice(); // copy - newEdges[_i][1] = partition1; - } else if (_edge[2] === partition2) { - // Check target - newEdges[_i] = _edge.slice(); // copy - newEdges[_i][2] = partition1; - } - } - - // Move all nodes from partition2 to partition1 - for (var _i2 = 0; _i2 < nodeMap.length; _i2++) { - if (nodeMap[_i2] === partition2) { - nodeMap[_i2] = partition1; - } - } - return newEdges; - }; - - // Contracts a graph until we reach a certain number of meta nodes - var contractUntil = function contractUntil(metaNodeMap, remainingEdges, size, sizeLimit) { - while (size > sizeLimit) { - // Choose an edge randomly - var edgeIndex = Math.floor(Math.random() * remainingEdges.length); - - // Collapse graph based on edge - remainingEdges = collapse(edgeIndex, metaNodeMap, remainingEdges); - size--; - } - return remainingEdges; - }; - var elesfn$p = { - // Computes the minimum cut of an undirected graph - // Returns the correct answer with high probability - kargerStein: function kargerStein() { - var _this = this; - var _this$byGroup = this.byGroup(), - nodes = _this$byGroup.nodes, - edges = _this$byGroup.edges; - edges.unmergeBy(function (edge) { - return edge.isLoop(); - }); - var numNodes = nodes.length; - var numEdges = edges.length; - var numIter = Math.ceil(Math.pow(Math.log(numNodes) / Math.LN2, 2)); - var stopSize = Math.floor(numNodes / sqrt2); - if (numNodes < 2) { - error('At least 2 nodes are required for Karger-Stein algorithm'); - return undefined; - } - - // Now store edge destination as indexes - // Format for each edge (edge index, source node index, target node index) - var edgeIndexes = []; - for (var i = 0; i < numEdges; i++) { - var e = edges[i]; - edgeIndexes.push([i, nodes.indexOf(e.source()), nodes.indexOf(e.target())]); - } - - // We will store the best cut found here - var minCutSize = Infinity; - var minCutEdgeIndexes = []; - var minCutNodeMap = new Array(numNodes); - - // Initial meta node partition - var metaNodeMap = new Array(numNodes); - var metaNodeMap2 = new Array(numNodes); - var copyNodesMap = function copyNodesMap(from, to) { - for (var _i3 = 0; _i3 < numNodes; _i3++) { - to[_i3] = from[_i3]; - } - }; - - // Main loop - for (var iter = 0; iter <= numIter; iter++) { - // Reset meta node partition - for (var _i4 = 0; _i4 < numNodes; _i4++) { - metaNodeMap[_i4] = _i4; - } - - // Contract until stop point (stopSize nodes) - var edgesState = contractUntil(metaNodeMap, edgeIndexes.slice(), numNodes, stopSize); - var edgesState2 = edgesState.slice(); // copy - - // Create a copy of the colapsed nodes state - copyNodesMap(metaNodeMap, metaNodeMap2); - - // Run 2 iterations starting in the stop state - var res1 = contractUntil(metaNodeMap, edgesState, stopSize, 2); - var res2 = contractUntil(metaNodeMap2, edgesState2, stopSize, 2); - - // Is any of the 2 results the best cut so far? - if (res1.length <= res2.length && res1.length < minCutSize) { - minCutSize = res1.length; - minCutEdgeIndexes = res1; - copyNodesMap(metaNodeMap, minCutNodeMap); - } else if (res2.length <= res1.length && res2.length < minCutSize) { - minCutSize = res2.length; - minCutEdgeIndexes = res2; - copyNodesMap(metaNodeMap2, minCutNodeMap); - } - } // end of main loop - - // Construct result - var cut = this.spawn(minCutEdgeIndexes.map(function (e) { - return edges[e[0]]; - })); - var partition1 = this.spawn(); - var partition2 = this.spawn(); - - // traverse metaNodeMap for best cut - var witnessNodePartition = minCutNodeMap[0]; - for (var _i5 = 0; _i5 < minCutNodeMap.length; _i5++) { - var partitionId = minCutNodeMap[_i5]; - var node = nodes[_i5]; - if (partitionId === witnessNodePartition) { - partition1.merge(node); - } else { - partition2.merge(node); - } - } - - // construct components corresponding to each disjoint subset of nodes - var constructComponent = function constructComponent(subset) { - var component = _this.spawn(); - subset.forEach(function (node) { - component.merge(node); - node.connectedEdges().forEach(function (edge) { - // ensure edge is within calling collection and edge is not in cut - if (_this.contains(edge) && !cut.contains(edge)) { - component.merge(edge); - } - }); - }); - return component; - }; - var components = [constructComponent(partition1), constructComponent(partition2)]; - var ret = { - cut: cut, - components: components, - // n.b. partitions are included to be compatible with the old api spec - // (could be removed in a future major version) - partition1: partition1, - partition2: partition2 - }; - return ret; - } - }; // elesfn - - var copyPosition = function copyPosition(p) { - return { - x: p.x, - y: p.y - }; - }; - var modelToRenderedPosition = function modelToRenderedPosition(p, zoom, pan) { - return { - x: p.x * zoom + pan.x, - y: p.y * zoom + pan.y - }; - }; - var renderedToModelPosition = function renderedToModelPosition(p, zoom, pan) { - return { - x: (p.x - pan.x) / zoom, - y: (p.y - pan.y) / zoom - }; - }; - var array2point = function array2point(arr) { - return { - x: arr[0], - y: arr[1] - }; - }; - var min = function min(arr) { - var begin = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; - var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : arr.length; - var min = Infinity; - for (var i = begin; i < end; i++) { - var val = arr[i]; - if (isFinite(val)) { - min = Math.min(val, min); - } - } - return min; - }; - var max = function max(arr) { - var begin = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; - var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : arr.length; - var max = -Infinity; - for (var i = begin; i < end; i++) { - var val = arr[i]; - if (isFinite(val)) { - max = Math.max(val, max); - } - } - return max; - }; - var mean = function mean(arr) { - var begin = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; - var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : arr.length; - var total = 0; - var n = 0; - for (var i = begin; i < end; i++) { - var val = arr[i]; - if (isFinite(val)) { - total += val; - n++; - } - } - return total / n; - }; - var median = function median(arr) { - var begin = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; - var end = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : arr.length; - var copy = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true; - var sort = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true; - var includeHoles = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : true; - if (copy) { - arr = arr.slice(begin, end); - } else { - if (end < arr.length) { - arr.splice(end, arr.length - end); - } - if (begin > 0) { - arr.splice(0, begin); - } - } - - // all non finite (e.g. Infinity, NaN) elements must be -Infinity so they go to the start - var off = 0; // offset from non-finite values - for (var i = arr.length - 1; i >= 0; i--) { - var v = arr[i]; - if (includeHoles) { - if (!isFinite(v)) { - arr[i] = -Infinity; - off++; - } - } else { - // just remove it if we don't want to consider holes - arr.splice(i, 1); - } - } - if (sort) { - arr.sort(function (a, b) { - return a - b; - }); // requires copy = true if you don't want to change the orig - } - - var len = arr.length; - var mid = Math.floor(len / 2); - if (len % 2 !== 0) { - return arr[mid + 1 + off]; - } else { - return (arr[mid - 1 + off] + arr[mid + off]) / 2; - } - }; - var deg2rad = function deg2rad(deg) { - return Math.PI * deg / 180; - }; - var getAngleFromDisp = function getAngleFromDisp(dispX, dispY) { - return Math.atan2(dispY, dispX) - Math.PI / 2; - }; - var log2 = Math.log2 || function (n) { - return Math.log(n) / Math.log(2); - }; - var signum = function signum(x) { - if (x > 0) { - return 1; - } else if (x < 0) { - return -1; - } else { - return 0; - } - }; - var dist = function dist(p1, p2) { - return Math.sqrt(sqdist(p1, p2)); - }; - var sqdist = function sqdist(p1, p2) { - var dx = p2.x - p1.x; - var dy = p2.y - p1.y; - return dx * dx + dy * dy; - }; - var inPlaceSumNormalize = function inPlaceSumNormalize(v) { - var length = v.length; - - // First, get sum of all elements - var total = 0; - for (var i = 0; i < length; i++) { - total += v[i]; - } - - // Now, divide each by the sum of all elements - for (var _i = 0; _i < length; _i++) { - v[_i] = v[_i] / total; - } - return v; - }; - - // from http://en.wikipedia.org/wiki/Bézier_curve#Quadratic_curves - var qbezierAt = function qbezierAt(p0, p1, p2, t) { - return (1 - t) * (1 - t) * p0 + 2 * (1 - t) * t * p1 + t * t * p2; - }; - var qbezierPtAt = function qbezierPtAt(p0, p1, p2, t) { - return { - x: qbezierAt(p0.x, p1.x, p2.x, t), - y: qbezierAt(p0.y, p1.y, p2.y, t) - }; - }; - var lineAt = function lineAt(p0, p1, t, d) { - var vec = { - x: p1.x - p0.x, - y: p1.y - p0.y - }; - var vecDist = dist(p0, p1); - var normVec = { - x: vec.x / vecDist, - y: vec.y / vecDist - }; - t = t == null ? 0 : t; - d = d != null ? d : t * vecDist; - return { - x: p0.x + normVec.x * d, - y: p0.y + normVec.y * d - }; - }; - var bound = function bound(min, val, max) { - return Math.max(min, Math.min(max, val)); - }; - - // makes a full bb (x1, y1, x2, y2, w, h) from implicit params - var makeBoundingBox = function makeBoundingBox(bb) { - if (bb == null) { - return { - x1: Infinity, - y1: Infinity, - x2: -Infinity, - y2: -Infinity, - w: 0, - h: 0 - }; - } else if (bb.x1 != null && bb.y1 != null) { - if (bb.x2 != null && bb.y2 != null && bb.x2 >= bb.x1 && bb.y2 >= bb.y1) { - return { - x1: bb.x1, - y1: bb.y1, - x2: bb.x2, - y2: bb.y2, - w: bb.x2 - bb.x1, - h: bb.y2 - bb.y1 - }; - } else if (bb.w != null && bb.h != null && bb.w >= 0 && bb.h >= 0) { - return { - x1: bb.x1, - y1: bb.y1, - x2: bb.x1 + bb.w, - y2: bb.y1 + bb.h, - w: bb.w, - h: bb.h - }; - } - } - }; - var copyBoundingBox = function copyBoundingBox(bb) { - return { - x1: bb.x1, - x2: bb.x2, - w: bb.w, - y1: bb.y1, - y2: bb.y2, - h: bb.h - }; - }; - var clearBoundingBox = function clearBoundingBox(bb) { - bb.x1 = Infinity; - bb.y1 = Infinity; - bb.x2 = -Infinity; - bb.y2 = -Infinity; - bb.w = 0; - bb.h = 0; - }; - var shiftBoundingBox = function shiftBoundingBox(bb, dx, dy) { - return { - x1: bb.x1 + dx, - x2: bb.x2 + dx, - y1: bb.y1 + dy, - y2: bb.y2 + dy, - w: bb.w, - h: bb.h - }; - }; - var updateBoundingBox = function updateBoundingBox(bb1, bb2) { - // update bb1 with bb2 bounds - - bb1.x1 = Math.min(bb1.x1, bb2.x1); - bb1.x2 = Math.max(bb1.x2, bb2.x2); - bb1.w = bb1.x2 - bb1.x1; - bb1.y1 = Math.min(bb1.y1, bb2.y1); - bb1.y2 = Math.max(bb1.y2, bb2.y2); - bb1.h = bb1.y2 - bb1.y1; - }; - var expandBoundingBoxByPoint = function expandBoundingBoxByPoint(bb, x, y) { - bb.x1 = Math.min(bb.x1, x); - bb.x2 = Math.max(bb.x2, x); - bb.w = bb.x2 - bb.x1; - bb.y1 = Math.min(bb.y1, y); - bb.y2 = Math.max(bb.y2, y); - bb.h = bb.y2 - bb.y1; - }; - var expandBoundingBox = function expandBoundingBox(bb) { - var padding = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; - bb.x1 -= padding; - bb.x2 += padding; - bb.y1 -= padding; - bb.y2 += padding; - bb.w = bb.x2 - bb.x1; - bb.h = bb.y2 - bb.y1; - return bb; - }; - var expandBoundingBoxSides = function expandBoundingBoxSides(bb) { - var padding = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : [0]; - var top, right, bottom, left; - if (padding.length === 1) { - top = right = bottom = left = padding[0]; - } else if (padding.length === 2) { - top = bottom = padding[0]; - left = right = padding[1]; - } else if (padding.length === 4) { - var _padding = _slicedToArray(padding, 4); - top = _padding[0]; - right = _padding[1]; - bottom = _padding[2]; - left = _padding[3]; - } - bb.x1 -= left; - bb.x2 += right; - bb.y1 -= top; - bb.y2 += bottom; - bb.w = bb.x2 - bb.x1; - bb.h = bb.y2 - bb.y1; - return bb; - }; - - // assign the values of bb2 into bb1 - var assignBoundingBox = function assignBoundingBox(bb1, bb2) { - bb1.x1 = bb2.x1; - bb1.y1 = bb2.y1; - bb1.x2 = bb2.x2; - bb1.y2 = bb2.y2; - bb1.w = bb1.x2 - bb1.x1; - bb1.h = bb1.y2 - bb1.y1; - }; - var boundingBoxesIntersect = function boundingBoxesIntersect(bb1, bb2) { - // case: one bb to right of other - if (bb1.x1 > bb2.x2) { - return false; - } - if (bb2.x1 > bb1.x2) { - return false; - } - - // case: one bb to left of other - if (bb1.x2 < bb2.x1) { - return false; - } - if (bb2.x2 < bb1.x1) { - return false; - } - - // case: one bb above other - if (bb1.y2 < bb2.y1) { - return false; - } - if (bb2.y2 < bb1.y1) { - return false; - } - - // case: one bb below other - if (bb1.y1 > bb2.y2) { - return false; - } - if (bb2.y1 > bb1.y2) { - return false; - } - - // otherwise, must have some overlap - return true; - }; - var inBoundingBox = function inBoundingBox(bb, x, y) { - return bb.x1 <= x && x <= bb.x2 && bb.y1 <= y && y <= bb.y2; - }; - var pointInBoundingBox = function pointInBoundingBox(bb, pt) { - return inBoundingBox(bb, pt.x, pt.y); - }; - var boundingBoxInBoundingBox = function boundingBoxInBoundingBox(bb1, bb2) { - return inBoundingBox(bb1, bb2.x1, bb2.y1) && inBoundingBox(bb1, bb2.x2, bb2.y2); - }; - var roundRectangleIntersectLine = function roundRectangleIntersectLine(x, y, nodeX, nodeY, width, height, padding) { - var cornerRadius = getRoundRectangleRadius(width, height); - var halfWidth = width / 2; - var halfHeight = height / 2; - - // Check intersections with straight line segments - var straightLineIntersections; - - // Top segment, left to right - { - var topStartX = nodeX - halfWidth + cornerRadius - padding; - var topStartY = nodeY - halfHeight - padding; - var topEndX = nodeX + halfWidth - cornerRadius + padding; - var topEndY = topStartY; - straightLineIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, topStartX, topStartY, topEndX, topEndY, false); - if (straightLineIntersections.length > 0) { - return straightLineIntersections; - } - } - - // Right segment, top to bottom - { - var rightStartX = nodeX + halfWidth + padding; - var rightStartY = nodeY - halfHeight + cornerRadius - padding; - var rightEndX = rightStartX; - var rightEndY = nodeY + halfHeight - cornerRadius + padding; - straightLineIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, rightStartX, rightStartY, rightEndX, rightEndY, false); - if (straightLineIntersections.length > 0) { - return straightLineIntersections; - } - } - - // Bottom segment, left to right - { - var bottomStartX = nodeX - halfWidth + cornerRadius - padding; - var bottomStartY = nodeY + halfHeight + padding; - var bottomEndX = nodeX + halfWidth - cornerRadius + padding; - var bottomEndY = bottomStartY; - straightLineIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, bottomStartX, bottomStartY, bottomEndX, bottomEndY, false); - if (straightLineIntersections.length > 0) { - return straightLineIntersections; - } - } - - // Left segment, top to bottom - { - var leftStartX = nodeX - halfWidth - padding; - var leftStartY = nodeY - halfHeight + cornerRadius - padding; - var leftEndX = leftStartX; - var leftEndY = nodeY + halfHeight - cornerRadius + padding; - straightLineIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, leftStartX, leftStartY, leftEndX, leftEndY, false); - if (straightLineIntersections.length > 0) { - return straightLineIntersections; - } - } - - // Check intersections with arc segments - var arcIntersections; - - // Top Left - { - var topLeftCenterX = nodeX - halfWidth + cornerRadius; - var topLeftCenterY = nodeY - halfHeight + cornerRadius; - arcIntersections = intersectLineCircle(x, y, nodeX, nodeY, topLeftCenterX, topLeftCenterY, cornerRadius + padding); - - // Ensure the intersection is on the desired quarter of the circle - if (arcIntersections.length > 0 && arcIntersections[0] <= topLeftCenterX && arcIntersections[1] <= topLeftCenterY) { - return [arcIntersections[0], arcIntersections[1]]; - } - } - - // Top Right - { - var topRightCenterX = nodeX + halfWidth - cornerRadius; - var topRightCenterY = nodeY - halfHeight + cornerRadius; - arcIntersections = intersectLineCircle(x, y, nodeX, nodeY, topRightCenterX, topRightCenterY, cornerRadius + padding); - - // Ensure the intersection is on the desired quarter of the circle - if (arcIntersections.length > 0 && arcIntersections[0] >= topRightCenterX && arcIntersections[1] <= topRightCenterY) { - return [arcIntersections[0], arcIntersections[1]]; - } - } - - // Bottom Right - { - var bottomRightCenterX = nodeX + halfWidth - cornerRadius; - var bottomRightCenterY = nodeY + halfHeight - cornerRadius; - arcIntersections = intersectLineCircle(x, y, nodeX, nodeY, bottomRightCenterX, bottomRightCenterY, cornerRadius + padding); - - // Ensure the intersection is on the desired quarter of the circle - if (arcIntersections.length > 0 && arcIntersections[0] >= bottomRightCenterX && arcIntersections[1] >= bottomRightCenterY) { - return [arcIntersections[0], arcIntersections[1]]; - } - } - - // Bottom Left - { - var bottomLeftCenterX = nodeX - halfWidth + cornerRadius; - var bottomLeftCenterY = nodeY + halfHeight - cornerRadius; - arcIntersections = intersectLineCircle(x, y, nodeX, nodeY, bottomLeftCenterX, bottomLeftCenterY, cornerRadius + padding); - - // Ensure the intersection is on the desired quarter of the circle - if (arcIntersections.length > 0 && arcIntersections[0] <= bottomLeftCenterX && arcIntersections[1] >= bottomLeftCenterY) { - return [arcIntersections[0], arcIntersections[1]]; - } - } - return []; // if nothing - }; - - var inLineVicinity = function inLineVicinity(x, y, lx1, ly1, lx2, ly2, tolerance) { - var t = tolerance; - var x1 = Math.min(lx1, lx2); - var x2 = Math.max(lx1, lx2); - var y1 = Math.min(ly1, ly2); - var y2 = Math.max(ly1, ly2); - return x1 - t <= x && x <= x2 + t && y1 - t <= y && y <= y2 + t; - }; - var inBezierVicinity = function inBezierVicinity(x, y, x1, y1, x2, y2, x3, y3, tolerance) { - var bb = { - x1: Math.min(x1, x3, x2) - tolerance, - x2: Math.max(x1, x3, x2) + tolerance, - y1: Math.min(y1, y3, y2) - tolerance, - y2: Math.max(y1, y3, y2) + tolerance - }; - - // if outside the rough bounding box for the bezier, then it can't be a hit - if (x < bb.x1 || x > bb.x2 || y < bb.y1 || y > bb.y2) { - // console.log('bezier out of rough bb') - return false; - } else { - // console.log('do more expensive check'); - return true; - } - }; - var solveQuadratic = function solveQuadratic(a, b, c, val) { - c -= val; - var r = b * b - 4 * a * c; - if (r < 0) { - return []; - } - var sqrtR = Math.sqrt(r); - var denom = 2 * a; - var root1 = (-b + sqrtR) / denom; - var root2 = (-b - sqrtR) / denom; - return [root1, root2]; - }; - var solveCubic = function solveCubic(a, b, c, d, result) { - // Solves a cubic function, returns root in form [r1, i1, r2, i2, r3, i3], where - // r is the real component, i is the imaginary component - - // An implementation of the Cardano method from the year 1545 - // http://en.wikipedia.org/wiki/Cubic_function#The_nature_of_the_roots - - var epsilon = 0.00001; - - // avoid division by zero while keeping the overall expression close in value - if (a === 0) { - a = epsilon; - } - b /= a; - c /= a; - d /= a; - var discriminant, q, r, dum1, s, t, term1, r13; - q = (3.0 * c - b * b) / 9.0; - r = -(27.0 * d) + b * (9.0 * c - 2.0 * (b * b)); - r /= 54.0; - discriminant = q * q * q + r * r; - result[1] = 0; - term1 = b / 3.0; - if (discriminant > 0) { - s = r + Math.sqrt(discriminant); - s = s < 0 ? -Math.pow(-s, 1.0 / 3.0) : Math.pow(s, 1.0 / 3.0); - t = r - Math.sqrt(discriminant); - t = t < 0 ? -Math.pow(-t, 1.0 / 3.0) : Math.pow(t, 1.0 / 3.0); - result[0] = -term1 + s + t; - term1 += (s + t) / 2.0; - result[4] = result[2] = -term1; - term1 = Math.sqrt(3.0) * (-t + s) / 2; - result[3] = term1; - result[5] = -term1; - return; - } - result[5] = result[3] = 0; - if (discriminant === 0) { - r13 = r < 0 ? -Math.pow(-r, 1.0 / 3.0) : Math.pow(r, 1.0 / 3.0); - result[0] = -term1 + 2.0 * r13; - result[4] = result[2] = -(r13 + term1); - return; - } - q = -q; - dum1 = q * q * q; - dum1 = Math.acos(r / Math.sqrt(dum1)); - r13 = 2.0 * Math.sqrt(q); - result[0] = -term1 + r13 * Math.cos(dum1 / 3.0); - result[2] = -term1 + r13 * Math.cos((dum1 + 2.0 * Math.PI) / 3.0); - result[4] = -term1 + r13 * Math.cos((dum1 + 4.0 * Math.PI) / 3.0); - return; - }; - var sqdistToQuadraticBezier = function sqdistToQuadraticBezier(x, y, x1, y1, x2, y2, x3, y3) { - // Find minimum distance by using the minimum of the distance - // function between the given point and the curve - - // This gives the coefficients of the resulting cubic equation - // whose roots tell us where a possible minimum is - // (Coefficients are divided by 4) - - var a = 1.0 * x1 * x1 - 4 * x1 * x2 + 2 * x1 * x3 + 4 * x2 * x2 - 4 * x2 * x3 + x3 * x3 + y1 * y1 - 4 * y1 * y2 + 2 * y1 * y3 + 4 * y2 * y2 - 4 * y2 * y3 + y3 * y3; - var b = 1.0 * 9 * x1 * x2 - 3 * x1 * x1 - 3 * x1 * x3 - 6 * x2 * x2 + 3 * x2 * x3 + 9 * y1 * y2 - 3 * y1 * y1 - 3 * y1 * y3 - 6 * y2 * y2 + 3 * y2 * y3; - var c = 1.0 * 3 * x1 * x1 - 6 * x1 * x2 + x1 * x3 - x1 * x + 2 * x2 * x2 + 2 * x2 * x - x3 * x + 3 * y1 * y1 - 6 * y1 * y2 + y1 * y3 - y1 * y + 2 * y2 * y2 + 2 * y2 * y - y3 * y; - var d = 1.0 * x1 * x2 - x1 * x1 + x1 * x - x2 * x + y1 * y2 - y1 * y1 + y1 * y - y2 * y; - - // debug("coefficients: " + a / a + ", " + b / a + ", " + c / a + ", " + d / a); - - var roots = []; - - // Use the cubic solving algorithm - solveCubic(a, b, c, d, roots); - var zeroThreshold = 0.0000001; - var params = []; - for (var index = 0; index < 6; index += 2) { - if (Math.abs(roots[index + 1]) < zeroThreshold && roots[index] >= 0 && roots[index] <= 1.0) { - params.push(roots[index]); - } - } - params.push(1.0); - params.push(0.0); - var minDistanceSquared = -1; - var curX, curY, distSquared; - for (var i = 0; i < params.length; i++) { - curX = Math.pow(1.0 - params[i], 2.0) * x1 + 2.0 * (1 - params[i]) * params[i] * x2 + params[i] * params[i] * x3; - curY = Math.pow(1 - params[i], 2.0) * y1 + 2 * (1.0 - params[i]) * params[i] * y2 + params[i] * params[i] * y3; - distSquared = Math.pow(curX - x, 2) + Math.pow(curY - y, 2); - // debug('distance for param ' + params[i] + ": " + Math.sqrt(distSquared)); - if (minDistanceSquared >= 0) { - if (distSquared < minDistanceSquared) { - minDistanceSquared = distSquared; - } - } else { - minDistanceSquared = distSquared; - } - } - return minDistanceSquared; - }; - var sqdistToFiniteLine = function sqdistToFiniteLine(x, y, x1, y1, x2, y2) { - var offset = [x - x1, y - y1]; - var line = [x2 - x1, y2 - y1]; - var lineSq = line[0] * line[0] + line[1] * line[1]; - var hypSq = offset[0] * offset[0] + offset[1] * offset[1]; - var dotProduct = offset[0] * line[0] + offset[1] * line[1]; - var adjSq = dotProduct * dotProduct / lineSq; - if (dotProduct < 0) { - return hypSq; - } - if (adjSq > lineSq) { - return (x - x2) * (x - x2) + (y - y2) * (y - y2); - } - return hypSq - adjSq; - }; - var pointInsidePolygonPoints = function pointInsidePolygonPoints(x, y, points) { - var x1, y1, x2, y2; - var y3; - - // Intersect with vertical line through (x, y) - var up = 0; - // let down = 0; - for (var i = 0; i < points.length / 2; i++) { - x1 = points[i * 2]; - y1 = points[i * 2 + 1]; - if (i + 1 < points.length / 2) { - x2 = points[(i + 1) * 2]; - y2 = points[(i + 1) * 2 + 1]; - } else { - x2 = points[(i + 1 - points.length / 2) * 2]; - y2 = points[(i + 1 - points.length / 2) * 2 + 1]; - } - if (x1 == x && x2 == x) ; else if (x1 >= x && x >= x2 || x1 <= x && x <= x2) { - y3 = (x - x1) / (x2 - x1) * (y2 - y1) + y1; - if (y3 > y) { - up++; - } - - // if( y3 < y ){ - // down++; - // } - } else { - continue; - } - } - if (up % 2 === 0) { - return false; - } else { - return true; - } - }; - var pointInsidePolygon = function pointInsidePolygon(x, y, basePoints, centerX, centerY, width, height, direction, padding) { - var transformedPoints = new Array(basePoints.length); - - // Gives negative angle - var angle; - if (direction[0] != null) { - angle = Math.atan(direction[1] / direction[0]); - if (direction[0] < 0) { - angle = angle + Math.PI / 2; - } else { - angle = -angle - Math.PI / 2; - } - } else { - angle = direction; - } - var cos = Math.cos(-angle); - var sin = Math.sin(-angle); - - // console.log("base: " + basePoints); - for (var i = 0; i < transformedPoints.length / 2; i++) { - transformedPoints[i * 2] = width / 2 * (basePoints[i * 2] * cos - basePoints[i * 2 + 1] * sin); - transformedPoints[i * 2 + 1] = height / 2 * (basePoints[i * 2 + 1] * cos + basePoints[i * 2] * sin); - transformedPoints[i * 2] += centerX; - transformedPoints[i * 2 + 1] += centerY; - } - var points; - if (padding > 0) { - var expandedLineSet = expandPolygon(transformedPoints, -padding); - points = joinLines(expandedLineSet); - } else { - points = transformedPoints; - } - return pointInsidePolygonPoints(x, y, points); - }; - var pointInsideRoundPolygon = function pointInsideRoundPolygon(x, y, basePoints, centerX, centerY, width, height) { - var cutPolygonPoints = new Array(basePoints.length); - var halfW = width / 2; - var halfH = height / 2; - var cornerRadius = getRoundPolygonRadius(width, height); - var squaredCornerRadius = cornerRadius * cornerRadius; - for (var i = 0; i < basePoints.length / 4; i++) { - var sourceUv = void 0, - destUv = void 0; - if (i === 0) { - sourceUv = basePoints.length - 2; - } else { - sourceUv = i * 4 - 2; - } - destUv = i * 4 + 2; - var px = centerX + halfW * basePoints[i * 4]; - var py = centerY + halfH * basePoints[i * 4 + 1]; - var cosTheta = -basePoints[sourceUv] * basePoints[destUv] - basePoints[sourceUv + 1] * basePoints[destUv + 1]; - var offset = cornerRadius / Math.tan(Math.acos(cosTheta) / 2); - var cp0x = px - offset * basePoints[sourceUv]; - var cp0y = py - offset * basePoints[sourceUv + 1]; - var cp1x = px + offset * basePoints[destUv]; - var cp1y = py + offset * basePoints[destUv + 1]; - cutPolygonPoints[i * 4] = cp0x; - cutPolygonPoints[i * 4 + 1] = cp0y; - cutPolygonPoints[i * 4 + 2] = cp1x; - cutPolygonPoints[i * 4 + 3] = cp1y; - var orthx = basePoints[sourceUv + 1]; - var orthy = -basePoints[sourceUv]; - var cosAlpha = orthx * basePoints[destUv] + orthy * basePoints[destUv + 1]; - if (cosAlpha < 0) { - orthx *= -1; - orthy *= -1; - } - var cx = cp0x + orthx * cornerRadius; - var cy = cp0y + orthy * cornerRadius; - var squaredDistance = Math.pow(cx - x, 2) + Math.pow(cy - y, 2); - if (squaredDistance <= squaredCornerRadius) { - return true; - } - } - return pointInsidePolygonPoints(x, y, cutPolygonPoints); - }; - var joinLines = function joinLines(lineSet) { - var vertices = new Array(lineSet.length / 2); - var currentLineStartX, currentLineStartY, currentLineEndX, currentLineEndY; - var nextLineStartX, nextLineStartY, nextLineEndX, nextLineEndY; - for (var i = 0; i < lineSet.length / 4; i++) { - currentLineStartX = lineSet[i * 4]; - currentLineStartY = lineSet[i * 4 + 1]; - currentLineEndX = lineSet[i * 4 + 2]; - currentLineEndY = lineSet[i * 4 + 3]; - if (i < lineSet.length / 4 - 1) { - nextLineStartX = lineSet[(i + 1) * 4]; - nextLineStartY = lineSet[(i + 1) * 4 + 1]; - nextLineEndX = lineSet[(i + 1) * 4 + 2]; - nextLineEndY = lineSet[(i + 1) * 4 + 3]; - } else { - nextLineStartX = lineSet[0]; - nextLineStartY = lineSet[1]; - nextLineEndX = lineSet[2]; - nextLineEndY = lineSet[3]; - } - var intersection = finiteLinesIntersect(currentLineStartX, currentLineStartY, currentLineEndX, currentLineEndY, nextLineStartX, nextLineStartY, nextLineEndX, nextLineEndY, true); - vertices[i * 2] = intersection[0]; - vertices[i * 2 + 1] = intersection[1]; - } - return vertices; - }; - var expandPolygon = function expandPolygon(points, pad) { - var expandedLineSet = new Array(points.length * 2); - var currentPointX, currentPointY, nextPointX, nextPointY; - for (var i = 0; i < points.length / 2; i++) { - currentPointX = points[i * 2]; - currentPointY = points[i * 2 + 1]; - if (i < points.length / 2 - 1) { - nextPointX = points[(i + 1) * 2]; - nextPointY = points[(i + 1) * 2 + 1]; - } else { - nextPointX = points[0]; - nextPointY = points[1]; - } - - // Current line: [currentPointX, currentPointY] to [nextPointX, nextPointY] - - // Assume CCW polygon winding - - var offsetX = nextPointY - currentPointY; - var offsetY = -(nextPointX - currentPointX); - - // Normalize - var offsetLength = Math.sqrt(offsetX * offsetX + offsetY * offsetY); - var normalizedOffsetX = offsetX / offsetLength; - var normalizedOffsetY = offsetY / offsetLength; - expandedLineSet[i * 4] = currentPointX + normalizedOffsetX * pad; - expandedLineSet[i * 4 + 1] = currentPointY + normalizedOffsetY * pad; - expandedLineSet[i * 4 + 2] = nextPointX + normalizedOffsetX * pad; - expandedLineSet[i * 4 + 3] = nextPointY + normalizedOffsetY * pad; - } - return expandedLineSet; - }; - var intersectLineEllipse = function intersectLineEllipse(x, y, centerX, centerY, ellipseWradius, ellipseHradius) { - var dispX = centerX - x; - var dispY = centerY - y; - dispX /= ellipseWradius; - dispY /= ellipseHradius; - var len = Math.sqrt(dispX * dispX + dispY * dispY); - var newLength = len - 1; - if (newLength < 0) { - return []; - } - var lenProportion = newLength / len; - return [(centerX - x) * lenProportion + x, (centerY - y) * lenProportion + y]; - }; - var checkInEllipse = function checkInEllipse(x, y, width, height, centerX, centerY, padding) { - x -= centerX; - y -= centerY; - x /= width / 2 + padding; - y /= height / 2 + padding; - return x * x + y * y <= 1; - }; - - // Returns intersections of increasing distance from line's start point - var intersectLineCircle = function intersectLineCircle(x1, y1, x2, y2, centerX, centerY, radius) { - // Calculate d, direction vector of line - var d = [x2 - x1, y2 - y1]; // Direction vector of line - var f = [x1 - centerX, y1 - centerY]; - var a = d[0] * d[0] + d[1] * d[1]; - var b = 2 * (f[0] * d[0] + f[1] * d[1]); - var c = f[0] * f[0] + f[1] * f[1] - radius * radius; - var discriminant = b * b - 4 * a * c; - if (discriminant < 0) { - return []; - } - var t1 = (-b + Math.sqrt(discriminant)) / (2 * a); - var t2 = (-b - Math.sqrt(discriminant)) / (2 * a); - var tMin = Math.min(t1, t2); - var tMax = Math.max(t1, t2); - var inRangeParams = []; - if (tMin >= 0 && tMin <= 1) { - inRangeParams.push(tMin); - } - if (tMax >= 0 && tMax <= 1) { - inRangeParams.push(tMax); - } - if (inRangeParams.length === 0) { - return []; - } - var nearIntersectionX = inRangeParams[0] * d[0] + x1; - var nearIntersectionY = inRangeParams[0] * d[1] + y1; - if (inRangeParams.length > 1) { - if (inRangeParams[0] == inRangeParams[1]) { - return [nearIntersectionX, nearIntersectionY]; - } else { - var farIntersectionX = inRangeParams[1] * d[0] + x1; - var farIntersectionY = inRangeParams[1] * d[1] + y1; - return [nearIntersectionX, nearIntersectionY, farIntersectionX, farIntersectionY]; - } - } else { - return [nearIntersectionX, nearIntersectionY]; - } - }; - var midOfThree = function midOfThree(a, b, c) { - if (b <= a && a <= c || c <= a && a <= b) { - return a; - } else if (a <= b && b <= c || c <= b && b <= a) { - return b; - } else { - return c; - } - }; - - // (x1,y1)=>(x2,y2) intersect with (x3,y3)=>(x4,y4) - var finiteLinesIntersect = function finiteLinesIntersect(x1, y1, x2, y2, x3, y3, x4, y4, infiniteLines) { - var dx13 = x1 - x3; - var dx21 = x2 - x1; - var dx43 = x4 - x3; - var dy13 = y1 - y3; - var dy21 = y2 - y1; - var dy43 = y4 - y3; - var ua_t = dx43 * dy13 - dy43 * dx13; - var ub_t = dx21 * dy13 - dy21 * dx13; - var u_b = dy43 * dx21 - dx43 * dy21; - if (u_b !== 0) { - var ua = ua_t / u_b; - var ub = ub_t / u_b; - var flptThreshold = 0.001; - var _min = 0 - flptThreshold; - var _max = 1 + flptThreshold; - if (_min <= ua && ua <= _max && _min <= ub && ub <= _max) { - return [x1 + ua * dx21, y1 + ua * dy21]; - } else { - if (!infiniteLines) { - return []; - } else { - return [x1 + ua * dx21, y1 + ua * dy21]; - } - } - } else { - if (ua_t === 0 || ub_t === 0) { - // Parallel, coincident lines. Check if overlap - - // Check endpoint of second line - if (midOfThree(x1, x2, x4) === x4) { - return [x4, y4]; - } - - // Check start point of second line - if (midOfThree(x1, x2, x3) === x3) { - return [x3, y3]; - } - - // Endpoint of first line - if (midOfThree(x3, x4, x2) === x2) { - return [x2, y2]; - } - return []; - } else { - // Parallel, non-coincident - return []; - } - } - }; - - // math.polygonIntersectLine( x, y, basePoints, centerX, centerY, width, height, padding ) - // intersect a node polygon (pts transformed) - // - // math.polygonIntersectLine( x, y, basePoints, centerX, centerY ) - // intersect the points (no transform) - var polygonIntersectLine = function polygonIntersectLine(x, y, basePoints, centerX, centerY, width, height, padding) { - var intersections = []; - var intersection; - var transformedPoints = new Array(basePoints.length); - var doTransform = true; - if (width == null) { - doTransform = false; - } - var points; - if (doTransform) { - for (var i = 0; i < transformedPoints.length / 2; i++) { - transformedPoints[i * 2] = basePoints[i * 2] * width + centerX; - transformedPoints[i * 2 + 1] = basePoints[i * 2 + 1] * height + centerY; - } - if (padding > 0) { - var expandedLineSet = expandPolygon(transformedPoints, -padding); - points = joinLines(expandedLineSet); - } else { - points = transformedPoints; - } - } else { - points = basePoints; - } - var currentX, currentY, nextX, nextY; - for (var _i2 = 0; _i2 < points.length / 2; _i2++) { - currentX = points[_i2 * 2]; - currentY = points[_i2 * 2 + 1]; - if (_i2 < points.length / 2 - 1) { - nextX = points[(_i2 + 1) * 2]; - nextY = points[(_i2 + 1) * 2 + 1]; - } else { - nextX = points[0]; - nextY = points[1]; - } - intersection = finiteLinesIntersect(x, y, centerX, centerY, currentX, currentY, nextX, nextY); - if (intersection.length !== 0) { - intersections.push(intersection[0], intersection[1]); - } - } - return intersections; - }; - var roundPolygonIntersectLine = function roundPolygonIntersectLine(x, y, basePoints, centerX, centerY, width, height, padding) { - var intersections = []; - var intersection; - var lines = new Array(basePoints.length); - var halfW = width / 2; - var halfH = height / 2; - var cornerRadius = getRoundPolygonRadius(width, height); - for (var i = 0; i < basePoints.length / 4; i++) { - var sourceUv = void 0, - destUv = void 0; - if (i === 0) { - sourceUv = basePoints.length - 2; - } else { - sourceUv = i * 4 - 2; - } - destUv = i * 4 + 2; - var px = centerX + halfW * basePoints[i * 4]; - var py = centerY + halfH * basePoints[i * 4 + 1]; - var cosTheta = -basePoints[sourceUv] * basePoints[destUv] - basePoints[sourceUv + 1] * basePoints[destUv + 1]; - var offset = cornerRadius / Math.tan(Math.acos(cosTheta) / 2); - var cp0x = px - offset * basePoints[sourceUv]; - var cp0y = py - offset * basePoints[sourceUv + 1]; - var cp1x = px + offset * basePoints[destUv]; - var cp1y = py + offset * basePoints[destUv + 1]; - if (i === 0) { - lines[basePoints.length - 2] = cp0x; - lines[basePoints.length - 1] = cp0y; - } else { - lines[i * 4 - 2] = cp0x; - lines[i * 4 - 1] = cp0y; - } - lines[i * 4] = cp1x; - lines[i * 4 + 1] = cp1y; - var orthx = basePoints[sourceUv + 1]; - var orthy = -basePoints[sourceUv]; - var cosAlpha = orthx * basePoints[destUv] + orthy * basePoints[destUv + 1]; - if (cosAlpha < 0) { - orthx *= -1; - orthy *= -1; - } - var cx = cp0x + orthx * cornerRadius; - var cy = cp0y + orthy * cornerRadius; - intersection = intersectLineCircle(x, y, centerX, centerY, cx, cy, cornerRadius); - if (intersection.length !== 0) { - intersections.push(intersection[0], intersection[1]); - } - } - for (var _i3 = 0; _i3 < lines.length / 4; _i3++) { - intersection = finiteLinesIntersect(x, y, centerX, centerY, lines[_i3 * 4], lines[_i3 * 4 + 1], lines[_i3 * 4 + 2], lines[_i3 * 4 + 3], false); - if (intersection.length !== 0) { - intersections.push(intersection[0], intersection[1]); - } - } - if (intersections.length > 2) { - var lowestIntersection = [intersections[0], intersections[1]]; - var lowestSquaredDistance = Math.pow(lowestIntersection[0] - x, 2) + Math.pow(lowestIntersection[1] - y, 2); - for (var _i4 = 1; _i4 < intersections.length / 2; _i4++) { - var squaredDistance = Math.pow(intersections[_i4 * 2] - x, 2) + Math.pow(intersections[_i4 * 2 + 1] - y, 2); - if (squaredDistance <= lowestSquaredDistance) { - lowestIntersection[0] = intersections[_i4 * 2]; - lowestIntersection[1] = intersections[_i4 * 2 + 1]; - lowestSquaredDistance = squaredDistance; - } - } - return lowestIntersection; - } - return intersections; - }; - var shortenIntersection = function shortenIntersection(intersection, offset, amount) { - var disp = [intersection[0] - offset[0], intersection[1] - offset[1]]; - var length = Math.sqrt(disp[0] * disp[0] + disp[1] * disp[1]); - var lenRatio = (length - amount) / length; - if (lenRatio < 0) { - lenRatio = 0.00001; - } - return [offset[0] + lenRatio * disp[0], offset[1] + lenRatio * disp[1]]; - }; - var generateUnitNgonPointsFitToSquare = function generateUnitNgonPointsFitToSquare(sides, rotationRadians) { - var points = generateUnitNgonPoints(sides, rotationRadians); - points = fitPolygonToSquare(points); - return points; - }; - var fitPolygonToSquare = function fitPolygonToSquare(points) { - var x, y; - var sides = points.length / 2; - var minX = Infinity, - minY = Infinity, - maxX = -Infinity, - maxY = -Infinity; - for (var i = 0; i < sides; i++) { - x = points[2 * i]; - y = points[2 * i + 1]; - minX = Math.min(minX, x); - maxX = Math.max(maxX, x); - minY = Math.min(minY, y); - maxY = Math.max(maxY, y); - } - - // stretch factors - var sx = 2 / (maxX - minX); - var sy = 2 / (maxY - minY); - for (var _i5 = 0; _i5 < sides; _i5++) { - x = points[2 * _i5] = points[2 * _i5] * sx; - y = points[2 * _i5 + 1] = points[2 * _i5 + 1] * sy; - minX = Math.min(minX, x); - maxX = Math.max(maxX, x); - minY = Math.min(minY, y); - maxY = Math.max(maxY, y); - } - if (minY < -1) { - for (var _i6 = 0; _i6 < sides; _i6++) { - y = points[2 * _i6 + 1] = points[2 * _i6 + 1] + (-1 - minY); - } - } - return points; - }; - var generateUnitNgonPoints = function generateUnitNgonPoints(sides, rotationRadians) { - var increment = 1.0 / sides * 2 * Math.PI; - var startAngle = sides % 2 === 0 ? Math.PI / 2.0 + increment / 2.0 : Math.PI / 2.0; - startAngle += rotationRadians; - var points = new Array(sides * 2); - var currentAngle; - for (var i = 0; i < sides; i++) { - currentAngle = i * increment + startAngle; - points[2 * i] = Math.cos(currentAngle); // x - points[2 * i + 1] = Math.sin(-currentAngle); // y - } - - return points; - }; - - // Set the default radius, unless half of width or height is smaller than default - var getRoundRectangleRadius = function getRoundRectangleRadius(width, height) { - return Math.min(width / 4, height / 4, 8); - }; - - // Set the default radius - var getRoundPolygonRadius = function getRoundPolygonRadius(width, height) { - return Math.min(width / 10, height / 10, 8); - }; - var getCutRectangleCornerLength = function getCutRectangleCornerLength() { - return 8; - }; - var bezierPtsToQuadCoeff = function bezierPtsToQuadCoeff(p0, p1, p2) { - return [p0 - 2 * p1 + p2, 2 * (p1 - p0), p0]; - }; - - // get curve width, height, and control point position offsets as a percentage of node height / width - var getBarrelCurveConstants = function getBarrelCurveConstants(width, height) { - return { - heightOffset: Math.min(15, 0.05 * height), - widthOffset: Math.min(100, 0.25 * width), - ctrlPtOffsetPct: 0.05 - }; - }; - - var pageRankDefaults = defaults$g({ - dampingFactor: 0.8, - precision: 0.000001, - iterations: 200, - weight: function weight(edge) { - return 1; - } - }); - var elesfn$o = { - pageRank: function pageRank(options) { - var _pageRankDefaults = pageRankDefaults(options), - dampingFactor = _pageRankDefaults.dampingFactor, - precision = _pageRankDefaults.precision, - iterations = _pageRankDefaults.iterations, - weight = _pageRankDefaults.weight; - var cy = this._private.cy; - var _this$byGroup = this.byGroup(), - nodes = _this$byGroup.nodes, - edges = _this$byGroup.edges; - var numNodes = nodes.length; - var numNodesSqd = numNodes * numNodes; - var numEdges = edges.length; - - // Construct transposed adjacency matrix - // First lets have a zeroed matrix of the right size - // We'll also keep track of the sum of each column - var matrix = new Array(numNodesSqd); - var columnSum = new Array(numNodes); - var additionalProb = (1 - dampingFactor) / numNodes; - - // Create null matrix - for (var i = 0; i < numNodes; i++) { - for (var j = 0; j < numNodes; j++) { - var n = i * numNodes + j; - matrix[n] = 0; - } - columnSum[i] = 0; - } - - // Now, process edges - for (var _i = 0; _i < numEdges; _i++) { - var edge = edges[_i]; - var srcId = edge.data('source'); - var tgtId = edge.data('target'); - - // Don't include loops in the matrix - if (srcId === tgtId) { - continue; - } - var s = nodes.indexOfId(srcId); - var t = nodes.indexOfId(tgtId); - var w = weight(edge); - var _n = t * numNodes + s; - - // Update matrix - matrix[_n] += w; - - // Update column sum - columnSum[s] += w; - } - - // Add additional probability based on damping factor - // Also, take into account columns that have sum = 0 - var p = 1.0 / numNodes + additionalProb; // Shorthand - - // Traverse matrix, column by column - for (var _j = 0; _j < numNodes; _j++) { - if (columnSum[_j] === 0) { - // No 'links' out from node jth, assume equal probability for each possible node - for (var _i2 = 0; _i2 < numNodes; _i2++) { - var _n2 = _i2 * numNodes + _j; - matrix[_n2] = p; - } - } else { - // Node jth has outgoing link, compute normalized probabilities - for (var _i3 = 0; _i3 < numNodes; _i3++) { - var _n3 = _i3 * numNodes + _j; - matrix[_n3] = matrix[_n3] / columnSum[_j] + additionalProb; - } - } - } - - // Compute dominant eigenvector using power method - var eigenvector = new Array(numNodes); - var temp = new Array(numNodes); - var previous; - - // Start with a vector of all 1's - // Also, initialize a null vector which will be used as shorthand - for (var _i4 = 0; _i4 < numNodes; _i4++) { - eigenvector[_i4] = 1; - } - for (var iter = 0; iter < iterations; iter++) { - // Temp array with all 0's - for (var _i5 = 0; _i5 < numNodes; _i5++) { - temp[_i5] = 0; - } - - // Multiply matrix with previous result - for (var _i6 = 0; _i6 < numNodes; _i6++) { - for (var _j2 = 0; _j2 < numNodes; _j2++) { - var _n4 = _i6 * numNodes + _j2; - temp[_i6] += matrix[_n4] * eigenvector[_j2]; - } - } - inPlaceSumNormalize(temp); - previous = eigenvector; - eigenvector = temp; - temp = previous; - var diff = 0; - // Compute difference (squared module) of both vectors - for (var _i7 = 0; _i7 < numNodes; _i7++) { - var delta = previous[_i7] - eigenvector[_i7]; - diff += delta * delta; - } - - // If difference is less than the desired threshold, stop iterating - if (diff < precision) { - break; - } - } - - // Construct result - var res = { - rank: function rank(node) { - node = cy.collection(node)[0]; - return eigenvector[nodes.indexOf(node)]; - } - }; - return res; - } // pageRank - }; // elesfn - - var defaults$f = defaults$g({ - root: null, - weight: function weight(edge) { - return 1; - }, - directed: false, - alpha: 0 - }); - var elesfn$n = { - degreeCentralityNormalized: function degreeCentralityNormalized(options) { - options = defaults$f(options); - var cy = this.cy(); - var nodes = this.nodes(); - var numNodes = nodes.length; - if (!options.directed) { - var degrees = {}; - var maxDegree = 0; - for (var i = 0; i < numNodes; i++) { - var node = nodes[i]; - - // add current node to the current options object and call degreeCentrality - options.root = node; - var currDegree = this.degreeCentrality(options); - if (maxDegree < currDegree.degree) { - maxDegree = currDegree.degree; - } - degrees[node.id()] = currDegree.degree; - } - return { - degree: function degree(node) { - if (maxDegree === 0) { - return 0; - } - if (string(node)) { - // from is a selector string - node = cy.filter(node); - } - return degrees[node.id()] / maxDegree; - } - }; - } else { - var indegrees = {}; - var outdegrees = {}; - var maxIndegree = 0; - var maxOutdegree = 0; - for (var _i = 0; _i < numNodes; _i++) { - var _node = nodes[_i]; - var id = _node.id(); - - // add current node to the current options object and call degreeCentrality - options.root = _node; - var _currDegree = this.degreeCentrality(options); - if (maxIndegree < _currDegree.indegree) maxIndegree = _currDegree.indegree; - if (maxOutdegree < _currDegree.outdegree) maxOutdegree = _currDegree.outdegree; - indegrees[id] = _currDegree.indegree; - outdegrees[id] = _currDegree.outdegree; - } - return { - indegree: function indegree(node) { - if (maxIndegree == 0) { - return 0; - } - if (string(node)) { - // from is a selector string - node = cy.filter(node); - } - return indegrees[node.id()] / maxIndegree; - }, - outdegree: function outdegree(node) { - if (maxOutdegree === 0) { - return 0; - } - if (string(node)) { - // from is a selector string - node = cy.filter(node); - } - return outdegrees[node.id()] / maxOutdegree; - } - }; - } - }, - // degreeCentralityNormalized - - // Implemented from the algorithm in Opsahl's paper - // "Node centrality in weighted networks: Generalizing degree and shortest paths" - // check the heading 2 "Degree" - degreeCentrality: function degreeCentrality(options) { - options = defaults$f(options); - var cy = this.cy(); - var callingEles = this; - var _options = options, - root = _options.root, - weight = _options.weight, - directed = _options.directed, - alpha = _options.alpha; - root = cy.collection(root)[0]; - if (!directed) { - var connEdges = root.connectedEdges().intersection(callingEles); - var k = connEdges.length; - var s = 0; - - // Now, sum edge weights - for (var i = 0; i < connEdges.length; i++) { - s += weight(connEdges[i]); - } - return { - degree: Math.pow(k, 1 - alpha) * Math.pow(s, alpha) - }; - } else { - var edges = root.connectedEdges(); - var incoming = edges.filter(function (edge) { - return edge.target().same(root) && callingEles.has(edge); - }); - var outgoing = edges.filter(function (edge) { - return edge.source().same(root) && callingEles.has(edge); - }); - var k_in = incoming.length; - var k_out = outgoing.length; - var s_in = 0; - var s_out = 0; - - // Now, sum incoming edge weights - for (var _i2 = 0; _i2 < incoming.length; _i2++) { - s_in += weight(incoming[_i2]); - } - - // Now, sum outgoing edge weights - for (var _i3 = 0; _i3 < outgoing.length; _i3++) { - s_out += weight(outgoing[_i3]); - } - return { - indegree: Math.pow(k_in, 1 - alpha) * Math.pow(s_in, alpha), - outdegree: Math.pow(k_out, 1 - alpha) * Math.pow(s_out, alpha) - }; - } - } // degreeCentrality - }; // elesfn - - // nice, short mathematical alias - elesfn$n.dc = elesfn$n.degreeCentrality; - elesfn$n.dcn = elesfn$n.degreeCentralityNormalised = elesfn$n.degreeCentralityNormalized; - - var defaults$e = defaults$g({ - harmonic: true, - weight: function weight() { - return 1; - }, - directed: false, - root: null - }); - var elesfn$m = { - closenessCentralityNormalized: function closenessCentralityNormalized(options) { - var _defaults = defaults$e(options), - harmonic = _defaults.harmonic, - weight = _defaults.weight, - directed = _defaults.directed; - var cy = this.cy(); - var closenesses = {}; - var maxCloseness = 0; - var nodes = this.nodes(); - var fw = this.floydWarshall({ - weight: weight, - directed: directed - }); - - // Compute closeness for every node and find the maximum closeness - for (var i = 0; i < nodes.length; i++) { - var currCloseness = 0; - var node_i = nodes[i]; - for (var j = 0; j < nodes.length; j++) { - if (i !== j) { - var d = fw.distance(node_i, nodes[j]); - if (harmonic) { - currCloseness += 1 / d; - } else { - currCloseness += d; - } - } - } - if (!harmonic) { - currCloseness = 1 / currCloseness; - } - if (maxCloseness < currCloseness) { - maxCloseness = currCloseness; - } - closenesses[node_i.id()] = currCloseness; - } - return { - closeness: function closeness(node) { - if (maxCloseness == 0) { - return 0; - } - if (string(node)) { - // from is a selector string - node = cy.filter(node)[0].id(); - } else { - // from is a node - node = node.id(); - } - return closenesses[node] / maxCloseness; - } - }; - }, - // Implemented from pseudocode from wikipedia - closenessCentrality: function closenessCentrality(options) { - var _defaults2 = defaults$e(options), - root = _defaults2.root, - weight = _defaults2.weight, - directed = _defaults2.directed, - harmonic = _defaults2.harmonic; - root = this.filter(root)[0]; - - // we need distance from this node to every other node - var dijkstra = this.dijkstra({ - root: root, - weight: weight, - directed: directed - }); - var totalDistance = 0; - var nodes = this.nodes(); - for (var i = 0; i < nodes.length; i++) { - var n = nodes[i]; - if (!n.same(root)) { - var d = dijkstra.distanceTo(n); - if (harmonic) { - totalDistance += 1 / d; - } else { - totalDistance += d; - } - } - } - return harmonic ? totalDistance : 1 / totalDistance; - } // closenessCentrality - }; // elesfn - - // nice, short mathematical alias - elesfn$m.cc = elesfn$m.closenessCentrality; - elesfn$m.ccn = elesfn$m.closenessCentralityNormalised = elesfn$m.closenessCentralityNormalized; - - var defaults$d = defaults$g({ - weight: null, - directed: false - }); - var elesfn$l = { - // Implemented from the algorithm in the paper "On Variants of Shortest-Path Betweenness Centrality and their Generic Computation" by Ulrik Brandes - betweennessCentrality: function betweennessCentrality(options) { - var _defaults = defaults$d(options), - directed = _defaults.directed, - weight = _defaults.weight; - var weighted = weight != null; - var cy = this.cy(); - - // starting - var V = this.nodes(); - var A = {}; - var _C = {}; - var max = 0; - var C = { - set: function set(key, val) { - _C[key] = val; - if (val > max) { - max = val; - } - }, - get: function get(key) { - return _C[key]; - } - }; - - // A contains the neighborhoods of every node - for (var i = 0; i < V.length; i++) { - var v = V[i]; - var vid = v.id(); - if (directed) { - A[vid] = v.outgoers().nodes(); // get outgoers of every node - } else { - A[vid] = v.openNeighborhood().nodes(); // get neighbors of every node - } - - C.set(vid, 0); - } - var _loop = function _loop(s) { - var sid = V[s].id(); - var S = []; // stack - var P = {}; - var g = {}; - var d = {}; - var Q = new heap(function (a, b) { - return d[a] - d[b]; - }); // queue - - // init dictionaries - for (var _i = 0; _i < V.length; _i++) { - var _vid = V[_i].id(); - P[_vid] = []; - g[_vid] = 0; - d[_vid] = Infinity; - } - g[sid] = 1; // sigma - d[sid] = 0; // distance to s - - Q.push(sid); - while (!Q.empty()) { - var _v = Q.pop(); - S.push(_v); - if (weighted) { - for (var j = 0; j < A[_v].length; j++) { - var w = A[_v][j]; - var vEle = cy.getElementById(_v); - var edge = void 0; - if (vEle.edgesTo(w).length > 0) { - edge = vEle.edgesTo(w)[0]; - } else { - edge = w.edgesTo(vEle)[0]; - } - var edgeWeight = weight(edge); - w = w.id(); - if (d[w] > d[_v] + edgeWeight) { - d[w] = d[_v] + edgeWeight; - if (Q.nodes.indexOf(w) < 0) { - //if w is not in Q - Q.push(w); - } else { - // update position if w is in Q - Q.updateItem(w); - } - g[w] = 0; - P[w] = []; - } - if (d[w] == d[_v] + edgeWeight) { - g[w] = g[w] + g[_v]; - P[w].push(_v); - } - } - } else { - for (var _j = 0; _j < A[_v].length; _j++) { - var _w = A[_v][_j].id(); - if (d[_w] == Infinity) { - Q.push(_w); - d[_w] = d[_v] + 1; - } - if (d[_w] == d[_v] + 1) { - g[_w] = g[_w] + g[_v]; - P[_w].push(_v); - } - } - } - } - var e = {}; - for (var _i2 = 0; _i2 < V.length; _i2++) { - e[V[_i2].id()] = 0; - } - while (S.length > 0) { - var _w2 = S.pop(); - for (var _j2 = 0; _j2 < P[_w2].length; _j2++) { - var _v2 = P[_w2][_j2]; - e[_v2] = e[_v2] + g[_v2] / g[_w2] * (1 + e[_w2]); - } - if (_w2 != V[s].id()) { - C.set(_w2, C.get(_w2) + e[_w2]); - } - } - }; - for (var s = 0; s < V.length; s++) { - _loop(s); - } - var ret = { - betweenness: function betweenness(node) { - var id = cy.collection(node).id(); - return C.get(id); - }, - betweennessNormalized: function betweennessNormalized(node) { - if (max == 0) { - return 0; - } - var id = cy.collection(node).id(); - return C.get(id) / max; - } - }; - - // alias - ret.betweennessNormalised = ret.betweennessNormalized; - return ret; - } // betweennessCentrality - }; // elesfn - - // nice, short mathematical alias - elesfn$l.bc = elesfn$l.betweennessCentrality; - - // Implemented by Zoe Xi @zoexi for GSOC 2016 - - /* eslint-disable no-unused-vars */ - var defaults$c = defaults$g({ - expandFactor: 2, - // affects time of computation and cluster granularity to some extent: M * M - inflateFactor: 2, - // affects cluster granularity (the greater the value, the more clusters): M(i,j) / E(j) - multFactor: 1, - // optional self loops for each node. Use a neutral value to improve cluster computations. - maxIterations: 20, - // maximum number of iterations of the MCL algorithm in a single run - attributes: [ - // attributes/features used to group nodes, ie. similarity values between nodes - function (edge) { - return 1; - }] - }); - /* eslint-enable */ - - var setOptions$3 = function setOptions(options) { - return defaults$c(options); - }; - /* eslint-enable */ - - var getSimilarity$1 = function getSimilarity(edge, attributes) { - var total = 0; - for (var i = 0; i < attributes.length; i++) { - total += attributes[i](edge); - } - return total; - }; - var addLoops = function addLoops(M, n, val) { - for (var i = 0; i < n; i++) { - M[i * n + i] = val; - } - }; - var normalize = function normalize(M, n) { - var sum; - for (var col = 0; col < n; col++) { - sum = 0; - for (var row = 0; row < n; row++) { - sum += M[row * n + col]; - } - for (var _row = 0; _row < n; _row++) { - M[_row * n + col] = M[_row * n + col] / sum; - } - } - }; - - // TODO: blocked matrix multiplication? - var mmult = function mmult(A, B, n) { - var C = new Array(n * n); - for (var i = 0; i < n; i++) { - for (var j = 0; j < n; j++) { - C[i * n + j] = 0; - } - for (var k = 0; k < n; k++) { - for (var _j = 0; _j < n; _j++) { - C[i * n + _j] += A[i * n + k] * B[k * n + _j]; - } - } - } - return C; - }; - var expand = function expand(M, n, expandFactor /** power **/) { - var _M = M.slice(0); - for (var p = 1; p < expandFactor; p++) { - M = mmult(M, _M, n); - } - return M; - }; - var inflate = function inflate(M, n, inflateFactor /** r **/) { - var _M = new Array(n * n); - - // M(i,j) ^ inflatePower - for (var i = 0; i < n * n; i++) { - _M[i] = Math.pow(M[i], inflateFactor); - } - normalize(_M, n); - return _M; - }; - var hasConverged = function hasConverged(M, _M, n2, roundFactor) { - // Check that both matrices have the same elements (i,j) - for (var i = 0; i < n2; i++) { - var v1 = Math.round(M[i] * Math.pow(10, roundFactor)) / Math.pow(10, roundFactor); // truncate to 'roundFactor' decimal places - var v2 = Math.round(_M[i] * Math.pow(10, roundFactor)) / Math.pow(10, roundFactor); - if (v1 !== v2) { - return false; - } - } - return true; - }; - var assign$2 = function assign(M, n, nodes, cy) { - var clusters = []; - for (var i = 0; i < n; i++) { - var cluster = []; - for (var j = 0; j < n; j++) { - // Row-wise attractors and elements that they attract belong in same cluster - if (Math.round(M[i * n + j] * 1000) / 1000 > 0) { - cluster.push(nodes[j]); - } - } - if (cluster.length !== 0) { - clusters.push(cy.collection(cluster)); - } - } - return clusters; - }; - var isDuplicate = function isDuplicate(c1, c2) { - for (var i = 0; i < c1.length; i++) { - if (!c2[i] || c1[i].id() !== c2[i].id()) { - return false; - } - } - return true; - }; - var removeDuplicates = function removeDuplicates(clusters) { - for (var i = 0; i < clusters.length; i++) { - for (var j = 0; j < clusters.length; j++) { - if (i != j && isDuplicate(clusters[i], clusters[j])) { - clusters.splice(j, 1); - } - } - } - return clusters; - }; - var markovClustering = function markovClustering(options) { - var nodes = this.nodes(); - var edges = this.edges(); - var cy = this.cy(); - - // Set parameters of algorithm: - var opts = setOptions$3(options); - - // Map each node to its position in node array - var id2position = {}; - for (var i = 0; i < nodes.length; i++) { - id2position[nodes[i].id()] = i; - } - - // Generate stochastic matrix M from input graph G (should be symmetric/undirected) - var n = nodes.length, - n2 = n * n; - var M = new Array(n2), - _M; - for (var _i = 0; _i < n2; _i++) { - M[_i] = 0; - } - for (var e = 0; e < edges.length; e++) { - var edge = edges[e]; - var _i2 = id2position[edge.source().id()]; - var j = id2position[edge.target().id()]; - var sim = getSimilarity$1(edge, opts.attributes); - M[_i2 * n + j] += sim; // G should be symmetric and undirected - M[j * n + _i2] += sim; - } - - // Begin Markov cluster algorithm - - // Step 1: Add self loops to each node, ie. add multFactor to matrix diagonal - addLoops(M, n, opts.multFactor); - - // Step 2: M = normalize( M ); - normalize(M, n); - var isStillMoving = true; - var iterations = 0; - while (isStillMoving && iterations < opts.maxIterations) { - isStillMoving = false; - - // Step 3: - _M = expand(M, n, opts.expandFactor); - - // Step 4: - M = inflate(_M, n, opts.inflateFactor); - - // Step 5: check to see if ~steady state has been reached - if (!hasConverged(M, _M, n2, 4)) { - isStillMoving = true; - } - iterations++; - } - - // Build clusters from matrix - var clusters = assign$2(M, n, nodes, cy); - - // Remove duplicate clusters due to symmetry of graph and M matrix - clusters = removeDuplicates(clusters); - return clusters; - }; - var markovClustering$1 = { - markovClustering: markovClustering, - mcl: markovClustering - }; - - // Common distance metrics for clustering algorithms - var identity = function identity(x) { - return x; - }; - var absDiff = function absDiff(p, q) { - return Math.abs(q - p); - }; - var addAbsDiff = function addAbsDiff(total, p, q) { - return total + absDiff(p, q); - }; - var addSquaredDiff = function addSquaredDiff(total, p, q) { - return total + Math.pow(q - p, 2); - }; - var sqrt = function sqrt(x) { - return Math.sqrt(x); - }; - var maxAbsDiff = function maxAbsDiff(currentMax, p, q) { - return Math.max(currentMax, absDiff(p, q)); - }; - var getDistance = function getDistance(length, getP, getQ, init, visit) { - var post = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : identity; - var ret = init; - var p, q; - for (var dim = 0; dim < length; dim++) { - p = getP(dim); - q = getQ(dim); - ret = visit(ret, p, q); - } - return post(ret); - }; - var distances = { - euclidean: function euclidean(length, getP, getQ) { - if (length >= 2) { - return getDistance(length, getP, getQ, 0, addSquaredDiff, sqrt); - } else { - // for single attr case, more efficient to avoid sqrt - return getDistance(length, getP, getQ, 0, addAbsDiff); - } - }, - squaredEuclidean: function squaredEuclidean(length, getP, getQ) { - return getDistance(length, getP, getQ, 0, addSquaredDiff); - }, - manhattan: function manhattan(length, getP, getQ) { - return getDistance(length, getP, getQ, 0, addAbsDiff); - }, - max: function max(length, getP, getQ) { - return getDistance(length, getP, getQ, -Infinity, maxAbsDiff); - } - }; - - // in case the user accidentally doesn't use camel case - distances['squared-euclidean'] = distances['squaredEuclidean']; - distances['squaredeuclidean'] = distances['squaredEuclidean']; - function clusteringDistance (method, length, getP, getQ, nodeP, nodeQ) { - var impl; - if (fn$6(method)) { - impl = method; - } else { - impl = distances[method] || distances.euclidean; - } - if (length === 0 && fn$6(method)) { - return impl(nodeP, nodeQ); - } else { - return impl(length, getP, getQ, nodeP, nodeQ); - } - } - - var defaults$b = defaults$g({ - k: 2, - m: 2, - sensitivityThreshold: 0.0001, - distance: 'euclidean', - maxIterations: 10, - attributes: [], - testMode: false, - testCentroids: null - }); - var setOptions$2 = function setOptions(options) { - return defaults$b(options); - }; - - var getDist = function getDist(type, node, centroid, attributes, mode) { - var noNodeP = mode !== 'kMedoids'; - var getP = noNodeP ? function (i) { - return centroid[i]; - } : function (i) { - return attributes[i](centroid); - }; - var getQ = function getQ(i) { - return attributes[i](node); - }; - var nodeP = centroid; - var nodeQ = node; - return clusteringDistance(type, attributes.length, getP, getQ, nodeP, nodeQ); - }; - var randomCentroids = function randomCentroids(nodes, k, attributes) { - var ndim = attributes.length; - var min = new Array(ndim); - var max = new Array(ndim); - var centroids = new Array(k); - var centroid = null; - - // Find min, max values for each attribute dimension - for (var i = 0; i < ndim; i++) { - min[i] = nodes.min(attributes[i]).value; - max[i] = nodes.max(attributes[i]).value; - } - - // Build k centroids, each represented as an n-dim feature vector - for (var c = 0; c < k; c++) { - centroid = []; - for (var _i = 0; _i < ndim; _i++) { - centroid[_i] = Math.random() * (max[_i] - min[_i]) + min[_i]; // random initial value - } - - centroids[c] = centroid; - } - return centroids; - }; - var classify = function classify(node, centroids, distance, attributes, type) { - var min = Infinity; - var index = 0; - for (var i = 0; i < centroids.length; i++) { - var dist = getDist(distance, node, centroids[i], attributes, type); - if (dist < min) { - min = dist; - index = i; - } - } - return index; - }; - var buildCluster = function buildCluster(centroid, nodes, assignment) { - var cluster = []; - var node = null; - for (var n = 0; n < nodes.length; n++) { - node = nodes[n]; - if (assignment[node.id()] === centroid) { - //console.log("Node " + node.id() + " is associated with medoid #: " + m); - cluster.push(node); - } - } - return cluster; - }; - var haveValuesConverged = function haveValuesConverged(v1, v2, sensitivityThreshold) { - return Math.abs(v2 - v1) <= sensitivityThreshold; - }; - var haveMatricesConverged = function haveMatricesConverged(v1, v2, sensitivityThreshold) { - for (var i = 0; i < v1.length; i++) { - for (var j = 0; j < v1[i].length; j++) { - var diff = Math.abs(v1[i][j] - v2[i][j]); - if (diff > sensitivityThreshold) { - return false; - } - } - } - return true; - }; - var seenBefore = function seenBefore(node, medoids, n) { - for (var i = 0; i < n; i++) { - if (node === medoids[i]) return true; - } - return false; - }; - var randomMedoids = function randomMedoids(nodes, k) { - var medoids = new Array(k); - - // For small data sets, the probability of medoid conflict is greater, - // so we need to check to see if we've already seen or chose this node before. - if (nodes.length < 50) { - // Randomly select k medoids from the n nodes - for (var i = 0; i < k; i++) { - var node = nodes[Math.floor(Math.random() * nodes.length)]; - - // If we've already chosen this node to be a medoid, don't choose it again (for small data sets). - // Instead choose a different random node. - while (seenBefore(node, medoids, i)) { - node = nodes[Math.floor(Math.random() * nodes.length)]; - } - medoids[i] = node; - } - } else { - // Relatively large data set, so pretty safe to not check and just select random nodes - for (var _i2 = 0; _i2 < k; _i2++) { - medoids[_i2] = nodes[Math.floor(Math.random() * nodes.length)]; - } - } - return medoids; - }; - var findCost = function findCost(potentialNewMedoid, cluster, attributes) { - var cost = 0; - for (var n = 0; n < cluster.length; n++) { - cost += getDist('manhattan', cluster[n], potentialNewMedoid, attributes, 'kMedoids'); - } - return cost; - }; - var kMeans = function kMeans(options) { - var cy = this.cy(); - var nodes = this.nodes(); - var node = null; - - // Set parameters of algorithm: # of clusters, distance metric, etc. - var opts = setOptions$2(options); - - // Begin k-means algorithm - var clusters = new Array(opts.k); - var assignment = {}; - var centroids; - - // Step 1: Initialize centroid positions - if (opts.testMode) { - if (typeof opts.testCentroids === 'number') { - // TODO: implement a seeded random number generator. - opts.testCentroids; - centroids = randomCentroids(nodes, opts.k, opts.attributes); - } else if (_typeof(opts.testCentroids) === 'object') { - centroids = opts.testCentroids; - } else { - centroids = randomCentroids(nodes, opts.k, opts.attributes); - } - } else { - centroids = randomCentroids(nodes, opts.k, opts.attributes); - } - var isStillMoving = true; - var iterations = 0; - while (isStillMoving && iterations < opts.maxIterations) { - // Step 2: Assign nodes to the nearest centroid - for (var n = 0; n < nodes.length; n++) { - node = nodes[n]; - // Determine which cluster this node belongs to: node id => cluster # - assignment[node.id()] = classify(node, centroids, opts.distance, opts.attributes, 'kMeans'); - } - - // Step 3: For each of the k clusters, update its centroid - isStillMoving = false; - for (var c = 0; c < opts.k; c++) { - // Get all nodes that belong to this cluster - var cluster = buildCluster(c, nodes, assignment); - if (cluster.length === 0) { - // If cluster is empty, break out early & move to next cluster - continue; - } - - // Update centroids by calculating avg of all nodes within the cluster. - var ndim = opts.attributes.length; - var centroid = centroids[c]; // [ dim_1, dim_2, dim_3, ... , dim_n ] - var newCentroid = new Array(ndim); - var sum = new Array(ndim); - for (var d = 0; d < ndim; d++) { - sum[d] = 0.0; - for (var i = 0; i < cluster.length; i++) { - node = cluster[i]; - sum[d] += opts.attributes[d](node); - } - newCentroid[d] = sum[d] / cluster.length; - - // Check to see if algorithm has converged, i.e. when centroids no longer change - if (!haveValuesConverged(newCentroid[d], centroid[d], opts.sensitivityThreshold)) { - isStillMoving = true; - } - } - centroids[c] = newCentroid; - clusters[c] = cy.collection(cluster); - } - iterations++; - } - return clusters; - }; - var kMedoids = function kMedoids(options) { - var cy = this.cy(); - var nodes = this.nodes(); - var node = null; - var opts = setOptions$2(options); - - // Begin k-medoids algorithm - var clusters = new Array(opts.k); - var medoids; - var assignment = {}; - var curCost; - var minCosts = new Array(opts.k); // minimum cost configuration for each cluster - - // Step 1: Initialize k medoids - if (opts.testMode) { - if (typeof opts.testCentroids === 'number') ; else if (_typeof(opts.testCentroids) === 'object') { - medoids = opts.testCentroids; - } else { - medoids = randomMedoids(nodes, opts.k); - } - } else { - medoids = randomMedoids(nodes, opts.k); - } - var isStillMoving = true; - var iterations = 0; - while (isStillMoving && iterations < opts.maxIterations) { - // Step 2: Assign nodes to the nearest medoid - for (var n = 0; n < nodes.length; n++) { - node = nodes[n]; - // Determine which cluster this node belongs to: node id => cluster # - assignment[node.id()] = classify(node, medoids, opts.distance, opts.attributes, 'kMedoids'); - } - isStillMoving = false; - // Step 3: For each medoid m, and for each node associated with mediod m, - // select the node with the lowest configuration cost as new medoid. - for (var m = 0; m < medoids.length; m++) { - // Get all nodes that belong to this medoid - var cluster = buildCluster(m, nodes, assignment); - if (cluster.length === 0) { - // If cluster is empty, break out early & move to next cluster - continue; - } - minCosts[m] = findCost(medoids[m], cluster, opts.attributes); // original cost - - // Select different medoid if its configuration has the lowest cost - for (var _n = 0; _n < cluster.length; _n++) { - curCost = findCost(cluster[_n], cluster, opts.attributes); - if (curCost < minCosts[m]) { - minCosts[m] = curCost; - medoids[m] = cluster[_n]; - isStillMoving = true; - } - } - clusters[m] = cy.collection(cluster); - } - iterations++; - } - return clusters; - }; - var updateCentroids = function updateCentroids(centroids, nodes, U, weight, opts) { - var numerator, denominator; - for (var n = 0; n < nodes.length; n++) { - for (var c = 0; c < centroids.length; c++) { - weight[n][c] = Math.pow(U[n][c], opts.m); - } - } - for (var _c = 0; _c < centroids.length; _c++) { - for (var dim = 0; dim < opts.attributes.length; dim++) { - numerator = 0; - denominator = 0; - for (var _n2 = 0; _n2 < nodes.length; _n2++) { - numerator += weight[_n2][_c] * opts.attributes[dim](nodes[_n2]); - denominator += weight[_n2][_c]; - } - centroids[_c][dim] = numerator / denominator; - } - } - }; - var updateMembership = function updateMembership(U, _U, centroids, nodes, opts) { - // Save previous step - for (var i = 0; i < U.length; i++) { - _U[i] = U[i].slice(); - } - var sum, numerator, denominator; - var pow = 2 / (opts.m - 1); - for (var c = 0; c < centroids.length; c++) { - for (var n = 0; n < nodes.length; n++) { - sum = 0; - for (var k = 0; k < centroids.length; k++) { - // against all other centroids - numerator = getDist(opts.distance, nodes[n], centroids[c], opts.attributes, 'cmeans'); - denominator = getDist(opts.distance, nodes[n], centroids[k], opts.attributes, 'cmeans'); - sum += Math.pow(numerator / denominator, pow); - } - U[n][c] = 1 / sum; - } - } - }; - var assign$1 = function assign(nodes, U, opts, cy) { - var clusters = new Array(opts.k); - for (var c = 0; c < clusters.length; c++) { - clusters[c] = []; - } - var max; - var index; - for (var n = 0; n < U.length; n++) { - // for each node (U is N x C matrix) - max = -Infinity; - index = -1; - // Determine which cluster the node is most likely to belong in - for (var _c2 = 0; _c2 < U[0].length; _c2++) { - if (U[n][_c2] > max) { - max = U[n][_c2]; - index = _c2; - } - } - clusters[index].push(nodes[n]); - } - - // Turn every array into a collection of nodes - for (var _c3 = 0; _c3 < clusters.length; _c3++) { - clusters[_c3] = cy.collection(clusters[_c3]); - } - return clusters; - }; - var fuzzyCMeans = function fuzzyCMeans(options) { - var cy = this.cy(); - var nodes = this.nodes(); - var opts = setOptions$2(options); - - // Begin fuzzy c-means algorithm - var clusters; - var centroids; - var U; - var _U; - var weight; - - // Step 1: Initialize letiables. - _U = new Array(nodes.length); - for (var i = 0; i < nodes.length; i++) { - // N x C matrix - _U[i] = new Array(opts.k); - } - U = new Array(nodes.length); - for (var _i3 = 0; _i3 < nodes.length; _i3++) { - // N x C matrix - U[_i3] = new Array(opts.k); - } - for (var _i4 = 0; _i4 < nodes.length; _i4++) { - var total = 0; - for (var j = 0; j < opts.k; j++) { - U[_i4][j] = Math.random(); - total += U[_i4][j]; - } - for (var _j = 0; _j < opts.k; _j++) { - U[_i4][_j] = U[_i4][_j] / total; - } - } - centroids = new Array(opts.k); - for (var _i5 = 0; _i5 < opts.k; _i5++) { - centroids[_i5] = new Array(opts.attributes.length); - } - weight = new Array(nodes.length); - for (var _i6 = 0; _i6 < nodes.length; _i6++) { - // N x C matrix - weight[_i6] = new Array(opts.k); - } - // end init FCM - - var isStillMoving = true; - var iterations = 0; - while (isStillMoving && iterations < opts.maxIterations) { - isStillMoving = false; - - // Step 2: Calculate the centroids for each step. - updateCentroids(centroids, nodes, U, weight, opts); - - // Step 3: Update the partition matrix U. - updateMembership(U, _U, centroids, nodes, opts); - - // Step 4: Check for convergence. - if (!haveMatricesConverged(U, _U, opts.sensitivityThreshold)) { - isStillMoving = true; - } - iterations++; - } - - // Assign nodes to clusters with highest probability. - clusters = assign$1(nodes, U, opts, cy); - return { - clusters: clusters, - degreeOfMembership: U - }; - }; - var kClustering = { - kMeans: kMeans, - kMedoids: kMedoids, - fuzzyCMeans: fuzzyCMeans, - fcm: fuzzyCMeans - }; - - // Implemented by Zoe Xi @zoexi for GSOC 2016 - var defaults$a = defaults$g({ - distance: 'euclidean', - // distance metric to compare nodes - linkage: 'min', - // linkage criterion : how to determine the distance between clusters of nodes - mode: 'threshold', - // mode:'threshold' => clusters must be threshold distance apart - threshold: Infinity, - // the distance threshold - // mode:'dendrogram' => the nodes are organised as leaves in a tree (siblings are close), merging makes clusters - addDendrogram: false, - // whether to add the dendrogram to the graph for viz - dendrogramDepth: 0, - // depth at which dendrogram branches are merged into the returned clusters - attributes: [] // array of attr functions - }); - - var linkageAliases = { - 'single': 'min', - 'complete': 'max' - }; - var setOptions$1 = function setOptions(options) { - var opts = defaults$a(options); - var preferredAlias = linkageAliases[opts.linkage]; - if (preferredAlias != null) { - opts.linkage = preferredAlias; - } - return opts; - }; - var mergeClosest = function mergeClosest(clusters, index, dists, mins, opts) { - // Find two closest clusters from cached mins - var minKey = 0; - var min = Infinity; - var dist; - var attrs = opts.attributes; - var getDist = function getDist(n1, n2) { - return clusteringDistance(opts.distance, attrs.length, function (i) { - return attrs[i](n1); - }, function (i) { - return attrs[i](n2); - }, n1, n2); - }; - for (var i = 0; i < clusters.length; i++) { - var key = clusters[i].key; - var _dist = dists[key][mins[key]]; - if (_dist < min) { - minKey = key; - min = _dist; - } - } - if (opts.mode === 'threshold' && min >= opts.threshold || opts.mode === 'dendrogram' && clusters.length === 1) { - return false; - } - var c1 = index[minKey]; - var c2 = index[mins[minKey]]; - var merged; - - // Merge two closest clusters - if (opts.mode === 'dendrogram') { - merged = { - left: c1, - right: c2, - key: c1.key - }; - } else { - merged = { - value: c1.value.concat(c2.value), - key: c1.key - }; - } - clusters[c1.index] = merged; - clusters.splice(c2.index, 1); - index[c1.key] = merged; - - // Update distances with new merged cluster - for (var _i = 0; _i < clusters.length; _i++) { - var cur = clusters[_i]; - if (c1.key === cur.key) { - dist = Infinity; - } else if (opts.linkage === 'min') { - dist = dists[c1.key][cur.key]; - if (dists[c1.key][cur.key] > dists[c2.key][cur.key]) { - dist = dists[c2.key][cur.key]; - } - } else if (opts.linkage === 'max') { - dist = dists[c1.key][cur.key]; - if (dists[c1.key][cur.key] < dists[c2.key][cur.key]) { - dist = dists[c2.key][cur.key]; - } - } else if (opts.linkage === 'mean') { - dist = (dists[c1.key][cur.key] * c1.size + dists[c2.key][cur.key] * c2.size) / (c1.size + c2.size); - } else { - if (opts.mode === 'dendrogram') dist = getDist(cur.value, c1.value);else dist = getDist(cur.value[0], c1.value[0]); - } - dists[c1.key][cur.key] = dists[cur.key][c1.key] = dist; // distance matrix is symmetric - } - - // Update cached mins - for (var _i2 = 0; _i2 < clusters.length; _i2++) { - var key1 = clusters[_i2].key; - if (mins[key1] === c1.key || mins[key1] === c2.key) { - var _min = key1; - for (var j = 0; j < clusters.length; j++) { - var key2 = clusters[j].key; - if (dists[key1][key2] < dists[key1][_min]) { - _min = key2; - } - } - mins[key1] = _min; - } - clusters[_i2].index = _i2; - } - - // Clean up meta data used for clustering - c1.key = c2.key = c1.index = c2.index = null; - return true; - }; - var getAllChildren = function getAllChildren(root, arr, cy) { - if (!root) return; - if (root.value) { - arr.push(root.value); - } else { - if (root.left) getAllChildren(root.left, arr); - if (root.right) getAllChildren(root.right, arr); - } - }; - var buildDendrogram = function buildDendrogram(root, cy) { - if (!root) return ''; - if (root.left && root.right) { - var leftStr = buildDendrogram(root.left, cy); - var rightStr = buildDendrogram(root.right, cy); - var node = cy.add({ - group: 'nodes', - data: { - id: leftStr + ',' + rightStr - } - }); - cy.add({ - group: 'edges', - data: { - source: leftStr, - target: node.id() - } - }); - cy.add({ - group: 'edges', - data: { - source: rightStr, - target: node.id() - } - }); - return node.id(); - } else if (root.value) { - return root.value.id(); - } - }; - var buildClustersFromTree = function buildClustersFromTree(root, k, cy) { - if (!root) return []; - var left = [], - right = [], - leaves = []; - if (k === 0) { - // don't cut tree, simply return all nodes as 1 single cluster - if (root.left) getAllChildren(root.left, left); - if (root.right) getAllChildren(root.right, right); - leaves = left.concat(right); - return [cy.collection(leaves)]; - } else if (k === 1) { - // cut at root - - if (root.value) { - // leaf node - return [cy.collection(root.value)]; - } else { - if (root.left) getAllChildren(root.left, left); - if (root.right) getAllChildren(root.right, right); - return [cy.collection(left), cy.collection(right)]; - } - } else { - if (root.value) { - return [cy.collection(root.value)]; - } else { - if (root.left) left = buildClustersFromTree(root.left, k - 1, cy); - if (root.right) right = buildClustersFromTree(root.right, k - 1, cy); - return left.concat(right); - } - } - }; - - var hierarchicalClustering = function hierarchicalClustering(options) { - var cy = this.cy(); - var nodes = this.nodes(); - - // Set parameters of algorithm: linkage type, distance metric, etc. - var opts = setOptions$1(options); - var attrs = opts.attributes; - var getDist = function getDist(n1, n2) { - return clusteringDistance(opts.distance, attrs.length, function (i) { - return attrs[i](n1); - }, function (i) { - return attrs[i](n2); - }, n1, n2); - }; - - // Begin hierarchical algorithm - var clusters = []; - var dists = []; // distances between each pair of clusters - var mins = []; // closest cluster for each cluster - var index = []; // hash of all clusters by key - - // In agglomerative (bottom-up) clustering, each node starts as its own cluster - for (var n = 0; n < nodes.length; n++) { - var cluster = { - value: opts.mode === 'dendrogram' ? nodes[n] : [nodes[n]], - key: n, - index: n - }; - clusters[n] = cluster; - index[n] = cluster; - dists[n] = []; - mins[n] = 0; - } - - // Calculate the distance between each pair of clusters - for (var i = 0; i < clusters.length; i++) { - for (var j = 0; j <= i; j++) { - var dist = void 0; - if (opts.mode === 'dendrogram') { - // modes store cluster values differently - dist = i === j ? Infinity : getDist(clusters[i].value, clusters[j].value); - } else { - dist = i === j ? Infinity : getDist(clusters[i].value[0], clusters[j].value[0]); - } - dists[i][j] = dist; - dists[j][i] = dist; - if (dist < dists[i][mins[i]]) { - mins[i] = j; // Cache mins: closest cluster to cluster i is cluster j - } - } - } - - // Find the closest pair of clusters and merge them into a single cluster. - // Update distances between new cluster and each of the old clusters, and loop until threshold reached. - var merged = mergeClosest(clusters, index, dists, mins, opts); - while (merged) { - merged = mergeClosest(clusters, index, dists, mins, opts); - } - var retClusters; - - // Dendrogram mode builds the hierarchy and adds intermediary nodes + edges - // in addition to returning the clusters. - if (opts.mode === 'dendrogram') { - retClusters = buildClustersFromTree(clusters[0], opts.dendrogramDepth, cy); - if (opts.addDendrogram) buildDendrogram(clusters[0], cy); - } else { - // Regular mode simply returns the clusters - - retClusters = new Array(clusters.length); - clusters.forEach(function (cluster, i) { - // Clean up meta data used for clustering - cluster.key = cluster.index = null; - retClusters[i] = cy.collection(cluster.value); - }); - } - return retClusters; - }; - var hierarchicalClustering$1 = { - hierarchicalClustering: hierarchicalClustering, - hca: hierarchicalClustering - }; - - // Implemented by Zoe Xi @zoexi for GSOC 2016 - var defaults$9 = defaults$g({ - distance: 'euclidean', - // distance metric to compare attributes between two nodes - preference: 'median', - // suitability of a data point to serve as an exemplar - damping: 0.8, - // damping factor between [0.5, 1) - maxIterations: 1000, - // max number of iterations to run - minIterations: 100, - // min number of iterations to run in order for clustering to stop - attributes: [// functions to quantify the similarity between any two points - // e.g. node => node.data('weight') - ] - }); - var setOptions = function setOptions(options) { - var dmp = options.damping; - var pref = options.preference; - if (!(0.5 <= dmp && dmp < 1)) { - error("Damping must range on [0.5, 1). Got: ".concat(dmp)); - } - var validPrefs = ['median', 'mean', 'min', 'max']; - if (!(validPrefs.some(function (v) { - return v === pref; - }) || number$1(pref))) { - error("Preference must be one of [".concat(validPrefs.map(function (p) { - return "'".concat(p, "'"); - }).join(', '), "] or a number. Got: ").concat(pref)); - } - return defaults$9(options); - }; - - var getSimilarity = function getSimilarity(type, n1, n2, attributes) { - var attr = function attr(n, i) { - return attributes[i](n); - }; - - // nb negative because similarity should have an inverse relationship to distance - return -clusteringDistance(type, attributes.length, function (i) { - return attr(n1, i); - }, function (i) { - return attr(n2, i); - }, n1, n2); - }; - var getPreference = function getPreference(S, preference) { - // larger preference = greater # of clusters - var p = null; - if (preference === 'median') { - p = median(S); - } else if (preference === 'mean') { - p = mean(S); - } else if (preference === 'min') { - p = min(S); - } else if (preference === 'max') { - p = max(S); - } else { - // Custom preference number, as set by user - p = preference; - } - return p; - }; - var findExemplars = function findExemplars(n, R, A) { - var indices = []; - for (var i = 0; i < n; i++) { - if (R[i * n + i] + A[i * n + i] > 0) { - indices.push(i); - } - } - return indices; - }; - var assignClusters = function assignClusters(n, S, exemplars) { - var clusters = []; - for (var i = 0; i < n; i++) { - var index = -1; - var max = -Infinity; - for (var ei = 0; ei < exemplars.length; ei++) { - var e = exemplars[ei]; - if (S[i * n + e] > max) { - index = e; - max = S[i * n + e]; - } - } - if (index > 0) { - clusters.push(index); - } - } - for (var _ei = 0; _ei < exemplars.length; _ei++) { - clusters[exemplars[_ei]] = exemplars[_ei]; - } - return clusters; - }; - var assign = function assign(n, S, exemplars) { - var clusters = assignClusters(n, S, exemplars); - for (var ei = 0; ei < exemplars.length; ei++) { - var ii = []; - for (var c = 0; c < clusters.length; c++) { - if (clusters[c] === exemplars[ei]) { - ii.push(c); - } - } - var maxI = -1; - var maxSum = -Infinity; - for (var i = 0; i < ii.length; i++) { - var sum = 0; - for (var j = 0; j < ii.length; j++) { - sum += S[ii[j] * n + ii[i]]; - } - if (sum > maxSum) { - maxI = i; - maxSum = sum; - } - } - exemplars[ei] = ii[maxI]; - } - clusters = assignClusters(n, S, exemplars); - return clusters; - }; - var affinityPropagation = function affinityPropagation(options) { - var cy = this.cy(); - var nodes = this.nodes(); - var opts = setOptions(options); - - // Map each node to its position in node array - var id2position = {}; - for (var i = 0; i < nodes.length; i++) { - id2position[nodes[i].id()] = i; - } - - // Begin affinity propagation algorithm - - var n; // number of data points - var n2; // size of matrices - var S; // similarity matrix (1D array) - var p; // preference/suitability of a data point to serve as an exemplar - var R; // responsibility matrix (1D array) - var A; // availability matrix (1D array) - - n = nodes.length; - n2 = n * n; - - // Initialize and build S similarity matrix - S = new Array(n2); - for (var _i = 0; _i < n2; _i++) { - S[_i] = -Infinity; // for cases where two data points shouldn't be linked together - } - - for (var _i2 = 0; _i2 < n; _i2++) { - for (var j = 0; j < n; j++) { - if (_i2 !== j) { - S[_i2 * n + j] = getSimilarity(opts.distance, nodes[_i2], nodes[j], opts.attributes); - } - } - } - - // Place preferences on the diagonal of S - p = getPreference(S, opts.preference); - for (var _i3 = 0; _i3 < n; _i3++) { - S[_i3 * n + _i3] = p; - } - - // Initialize R responsibility matrix - R = new Array(n2); - for (var _i4 = 0; _i4 < n2; _i4++) { - R[_i4] = 0.0; - } - - // Initialize A availability matrix - A = new Array(n2); - for (var _i5 = 0; _i5 < n2; _i5++) { - A[_i5] = 0.0; - } - var old = new Array(n); - var Rp = new Array(n); - var se = new Array(n); - for (var _i6 = 0; _i6 < n; _i6++) { - old[_i6] = 0.0; - Rp[_i6] = 0.0; - se[_i6] = 0; - } - var e = new Array(n * opts.minIterations); - for (var _i7 = 0; _i7 < e.length; _i7++) { - e[_i7] = 0; - } - var iter; - for (iter = 0; iter < opts.maxIterations; iter++) { - // main algorithmic loop - - // Update R responsibility matrix - for (var _i8 = 0; _i8 < n; _i8++) { - var max = -Infinity, - max2 = -Infinity, - maxI = -1, - AS = 0.0; - for (var _j = 0; _j < n; _j++) { - old[_j] = R[_i8 * n + _j]; - AS = A[_i8 * n + _j] + S[_i8 * n + _j]; - if (AS >= max) { - max2 = max; - max = AS; - maxI = _j; - } else if (AS > max2) { - max2 = AS; - } - } - for (var _j2 = 0; _j2 < n; _j2++) { - R[_i8 * n + _j2] = (1 - opts.damping) * (S[_i8 * n + _j2] - max) + opts.damping * old[_j2]; - } - R[_i8 * n + maxI] = (1 - opts.damping) * (S[_i8 * n + maxI] - max2) + opts.damping * old[maxI]; - } - - // Update A availability matrix - for (var _i9 = 0; _i9 < n; _i9++) { - var sum = 0; - for (var _j3 = 0; _j3 < n; _j3++) { - old[_j3] = A[_j3 * n + _i9]; - Rp[_j3] = Math.max(0, R[_j3 * n + _i9]); - sum += Rp[_j3]; - } - sum -= Rp[_i9]; - Rp[_i9] = R[_i9 * n + _i9]; - sum += Rp[_i9]; - for (var _j4 = 0; _j4 < n; _j4++) { - A[_j4 * n + _i9] = (1 - opts.damping) * Math.min(0, sum - Rp[_j4]) + opts.damping * old[_j4]; - } - A[_i9 * n + _i9] = (1 - opts.damping) * (sum - Rp[_i9]) + opts.damping * old[_i9]; - } - - // Check for convergence - var K = 0; - for (var _i10 = 0; _i10 < n; _i10++) { - var E = A[_i10 * n + _i10] + R[_i10 * n + _i10] > 0 ? 1 : 0; - e[iter % opts.minIterations * n + _i10] = E; - K += E; - } - if (K > 0 && (iter >= opts.minIterations - 1 || iter == opts.maxIterations - 1)) { - var _sum = 0; - for (var _i11 = 0; _i11 < n; _i11++) { - se[_i11] = 0; - for (var _j5 = 0; _j5 < opts.minIterations; _j5++) { - se[_i11] += e[_j5 * n + _i11]; - } - if (se[_i11] === 0 || se[_i11] === opts.minIterations) { - _sum++; - } - } - if (_sum === n) { - // then we have convergence - break; - } - } - } - - // Identify exemplars (cluster centers) - var exemplarsIndices = findExemplars(n, R, A); - - // Assign nodes to clusters - var clusterIndices = assign(n, S, exemplarsIndices); - var clusters = {}; - for (var c = 0; c < exemplarsIndices.length; c++) { - clusters[exemplarsIndices[c]] = []; - } - for (var _i12 = 0; _i12 < nodes.length; _i12++) { - var pos = id2position[nodes[_i12].id()]; - var clusterIndex = clusterIndices[pos]; - if (clusterIndex != null) { - // the node may have not been assigned a cluster if no valid attributes were specified - clusters[clusterIndex].push(nodes[_i12]); - } - } - var retClusters = new Array(exemplarsIndices.length); - for (var _c = 0; _c < exemplarsIndices.length; _c++) { - retClusters[_c] = cy.collection(clusters[exemplarsIndices[_c]]); - } - return retClusters; - }; - var affinityPropagation$1 = { - affinityPropagation: affinityPropagation, - ap: affinityPropagation - }; - - var hierholzerDefaults = defaults$g({ - root: undefined, - directed: false - }); - var elesfn$k = { - hierholzer: function hierholzer(options) { - if (!plainObject(options)) { - var args = arguments; - options = { - root: args[0], - directed: args[1] - }; - } - var _hierholzerDefaults = hierholzerDefaults(options), - root = _hierholzerDefaults.root, - directed = _hierholzerDefaults.directed; - var eles = this; - var dflag = false; - var oddIn; - var oddOut; - var startVertex; - if (root) startVertex = string(root) ? this.filter(root)[0].id() : root[0].id(); - var nodes = {}; - var edges = {}; - if (directed) { - eles.forEach(function (ele) { - var id = ele.id(); - if (ele.isNode()) { - var ind = ele.indegree(true); - var outd = ele.outdegree(true); - var d1 = ind - outd; - var d2 = outd - ind; - if (d1 == 1) { - if (oddIn) dflag = true;else oddIn = id; - } else if (d2 == 1) { - if (oddOut) dflag = true;else oddOut = id; - } else if (d2 > 1 || d1 > 1) { - dflag = true; - } - nodes[id] = []; - ele.outgoers().forEach(function (e) { - if (e.isEdge()) nodes[id].push(e.id()); - }); - } else { - edges[id] = [undefined, ele.target().id()]; - } - }); - } else { - eles.forEach(function (ele) { - var id = ele.id(); - if (ele.isNode()) { - var d = ele.degree(true); - if (d % 2) { - if (!oddIn) oddIn = id;else if (!oddOut) oddOut = id;else dflag = true; - } - nodes[id] = []; - ele.connectedEdges().forEach(function (e) { - return nodes[id].push(e.id()); - }); - } else { - edges[id] = [ele.source().id(), ele.target().id()]; - } - }); - } - var result = { - found: false, - trail: undefined - }; - if (dflag) return result;else if (oddOut && oddIn) { - if (directed) { - if (startVertex && oddOut != startVertex) { - return result; - } - startVertex = oddOut; - } else { - if (startVertex && oddOut != startVertex && oddIn != startVertex) { - return result; - } else if (!startVertex) { - startVertex = oddOut; - } - } - } else { - if (!startVertex) startVertex = eles[0].id(); - } - var walk = function walk(v) { - var currentNode = v; - var subtour = [v]; - var adj, adjTail, adjHead; - while (nodes[currentNode].length) { - adj = nodes[currentNode].shift(); - adjTail = edges[adj][0]; - adjHead = edges[adj][1]; - if (currentNode != adjHead) { - nodes[adjHead] = nodes[adjHead].filter(function (e) { - return e != adj; - }); - currentNode = adjHead; - } else if (!directed && currentNode != adjTail) { - nodes[adjTail] = nodes[adjTail].filter(function (e) { - return e != adj; - }); - currentNode = adjTail; - } - subtour.unshift(adj); - subtour.unshift(currentNode); - } - return subtour; - }; - var trail = []; - var subtour = []; - subtour = walk(startVertex); - while (subtour.length != 1) { - if (nodes[subtour[0]].length == 0) { - trail.unshift(eles.getElementById(subtour.shift())); - trail.unshift(eles.getElementById(subtour.shift())); - } else { - subtour = walk(subtour.shift()).concat(subtour); - } - } - trail.unshift(eles.getElementById(subtour.shift())); // final node - - for (var d in nodes) { - if (nodes[d].length) { - return result; - } - } - result.found = true; - result.trail = this.spawn(trail, true); - return result; - } - }; - - var hopcroftTarjanBiconnected = function hopcroftTarjanBiconnected() { - var eles = this; - var nodes = {}; - var id = 0; - var edgeCount = 0; - var components = []; - var stack = []; - var visitedEdges = {}; - var buildComponent = function buildComponent(x, y) { - var i = stack.length - 1; - var cutset = []; - var component = eles.spawn(); - while (stack[i].x != x || stack[i].y != y) { - cutset.push(stack.pop().edge); - i--; - } - cutset.push(stack.pop().edge); - cutset.forEach(function (edge) { - var connectedNodes = edge.connectedNodes().intersection(eles); - component.merge(edge); - connectedNodes.forEach(function (node) { - var nodeId = node.id(); - var connectedEdges = node.connectedEdges().intersection(eles); - component.merge(node); - if (!nodes[nodeId].cutVertex) { - component.merge(connectedEdges); - } else { - component.merge(connectedEdges.filter(function (edge) { - return edge.isLoop(); - })); - } - }); - }); - components.push(component); - }; - var biconnectedSearch = function biconnectedSearch(root, currentNode, parent) { - if (root === parent) edgeCount += 1; - nodes[currentNode] = { - id: id, - low: id++, - cutVertex: false - }; - var edges = eles.getElementById(currentNode).connectedEdges().intersection(eles); - if (edges.size() === 0) { - components.push(eles.spawn(eles.getElementById(currentNode))); - } else { - var sourceId, targetId, otherNodeId, edgeId; - edges.forEach(function (edge) { - sourceId = edge.source().id(); - targetId = edge.target().id(); - otherNodeId = sourceId === currentNode ? targetId : sourceId; - if (otherNodeId !== parent) { - edgeId = edge.id(); - if (!visitedEdges[edgeId]) { - visitedEdges[edgeId] = true; - stack.push({ - x: currentNode, - y: otherNodeId, - edge: edge - }); - } - if (!(otherNodeId in nodes)) { - biconnectedSearch(root, otherNodeId, currentNode); - nodes[currentNode].low = Math.min(nodes[currentNode].low, nodes[otherNodeId].low); - if (nodes[currentNode].id <= nodes[otherNodeId].low) { - nodes[currentNode].cutVertex = true; - buildComponent(currentNode, otherNodeId); - } - } else { - nodes[currentNode].low = Math.min(nodes[currentNode].low, nodes[otherNodeId].id); - } - } - }); - } - }; - eles.forEach(function (ele) { - if (ele.isNode()) { - var nodeId = ele.id(); - if (!(nodeId in nodes)) { - edgeCount = 0; - biconnectedSearch(nodeId, nodeId); - nodes[nodeId].cutVertex = edgeCount > 1; - } - } - }); - var cutVertices = Object.keys(nodes).filter(function (id) { - return nodes[id].cutVertex; - }).map(function (id) { - return eles.getElementById(id); - }); - return { - cut: eles.spawn(cutVertices), - components: components - }; - }; - var hopcroftTarjanBiconnected$1 = { - hopcroftTarjanBiconnected: hopcroftTarjanBiconnected, - htbc: hopcroftTarjanBiconnected, - htb: hopcroftTarjanBiconnected, - hopcroftTarjanBiconnectedComponents: hopcroftTarjanBiconnected - }; - - var tarjanStronglyConnected = function tarjanStronglyConnected() { - var eles = this; - var nodes = {}; - var index = 0; - var components = []; - var stack = []; - var cut = eles.spawn(eles); - var stronglyConnectedSearch = function stronglyConnectedSearch(sourceNodeId) { - stack.push(sourceNodeId); - nodes[sourceNodeId] = { - index: index, - low: index++, - explored: false - }; - var connectedEdges = eles.getElementById(sourceNodeId).connectedEdges().intersection(eles); - connectedEdges.forEach(function (edge) { - var targetNodeId = edge.target().id(); - if (targetNodeId !== sourceNodeId) { - if (!(targetNodeId in nodes)) { - stronglyConnectedSearch(targetNodeId); - } - if (!nodes[targetNodeId].explored) { - nodes[sourceNodeId].low = Math.min(nodes[sourceNodeId].low, nodes[targetNodeId].low); - } - } - }); - if (nodes[sourceNodeId].index === nodes[sourceNodeId].low) { - var componentNodes = eles.spawn(); - for (;;) { - var nodeId = stack.pop(); - componentNodes.merge(eles.getElementById(nodeId)); - nodes[nodeId].low = nodes[sourceNodeId].index; - nodes[nodeId].explored = true; - if (nodeId === sourceNodeId) { - break; - } - } - var componentEdges = componentNodes.edgesWith(componentNodes); - var component = componentNodes.merge(componentEdges); - components.push(component); - cut = cut.difference(component); - } - }; - eles.forEach(function (ele) { - if (ele.isNode()) { - var nodeId = ele.id(); - if (!(nodeId in nodes)) { - stronglyConnectedSearch(nodeId); - } - } - }); - return { - cut: cut, - components: components - }; - }; - var tarjanStronglyConnected$1 = { - tarjanStronglyConnected: tarjanStronglyConnected, - tsc: tarjanStronglyConnected, - tscc: tarjanStronglyConnected, - tarjanStronglyConnectedComponents: tarjanStronglyConnected - }; - - var elesfn$j = {}; - [elesfn$v, elesfn$u, elesfn$t, elesfn$s, elesfn$r, elesfn$q, elesfn$p, elesfn$o, elesfn$n, elesfn$m, elesfn$l, markovClustering$1, kClustering, hierarchicalClustering$1, affinityPropagation$1, elesfn$k, hopcroftTarjanBiconnected$1, tarjanStronglyConnected$1].forEach(function (props) { - extend(elesfn$j, props); - }); - - /*! - Embeddable Minimum Strictly-Compliant Promises/A+ 1.1.1 Thenable - Copyright (c) 2013-2014 Ralf S. Engelschall (http://engelschall.com) - Licensed under The MIT License (http://opensource.org/licenses/MIT) - */ - - /* promise states [Promises/A+ 2.1] */ - var STATE_PENDING = 0; /* [Promises/A+ 2.1.1] */ - var STATE_FULFILLED = 1; /* [Promises/A+ 2.1.2] */ - var STATE_REJECTED = 2; /* [Promises/A+ 2.1.3] */ - - /* promise object constructor */ - var api = function api(executor) { - /* optionally support non-constructor/plain-function call */ - if (!(this instanceof api)) return new api(executor); - - /* initialize object */ - this.id = 'Thenable/1.0.7'; - this.state = STATE_PENDING; /* initial state */ - this.fulfillValue = undefined; /* initial value */ /* [Promises/A+ 1.3, 2.1.2.2] */ - this.rejectReason = undefined; /* initial reason */ /* [Promises/A+ 1.5, 2.1.3.2] */ - this.onFulfilled = []; /* initial handlers */ - this.onRejected = []; /* initial handlers */ - - /* provide optional information-hiding proxy */ - this.proxy = { - then: this.then.bind(this) - }; - - /* support optional executor function */ - if (typeof executor === 'function') executor.call(this, this.fulfill.bind(this), this.reject.bind(this)); - }; - - /* promise API methods */ - api.prototype = { - /* promise resolving methods */ - fulfill: function fulfill(value) { - return deliver(this, STATE_FULFILLED, 'fulfillValue', value); - }, - reject: function reject(value) { - return deliver(this, STATE_REJECTED, 'rejectReason', value); - }, - /* "The then Method" [Promises/A+ 1.1, 1.2, 2.2] */ - then: function then(onFulfilled, onRejected) { - var curr = this; - var next = new api(); /* [Promises/A+ 2.2.7] */ - curr.onFulfilled.push(resolver(onFulfilled, next, 'fulfill')); /* [Promises/A+ 2.2.2/2.2.6] */ - curr.onRejected.push(resolver(onRejected, next, 'reject')); /* [Promises/A+ 2.2.3/2.2.6] */ - execute(curr); - return next.proxy; /* [Promises/A+ 2.2.7, 3.3] */ - } - }; - - /* deliver an action */ - var deliver = function deliver(curr, state, name, value) { - if (curr.state === STATE_PENDING) { - curr.state = state; /* [Promises/A+ 2.1.2.1, 2.1.3.1] */ - curr[name] = value; /* [Promises/A+ 2.1.2.2, 2.1.3.2] */ - execute(curr); - } - return curr; - }; - - /* execute all handlers */ - var execute = function execute(curr) { - if (curr.state === STATE_FULFILLED) execute_handlers(curr, 'onFulfilled', curr.fulfillValue);else if (curr.state === STATE_REJECTED) execute_handlers(curr, 'onRejected', curr.rejectReason); - }; - - /* execute particular set of handlers */ - var execute_handlers = function execute_handlers(curr, name, value) { - /* global setImmediate: true */ - /* global setTimeout: true */ - - /* short-circuit processing */ - if (curr[name].length === 0) return; - - /* iterate over all handlers, exactly once */ - var handlers = curr[name]; - curr[name] = []; /* [Promises/A+ 2.2.2.3, 2.2.3.3] */ - var func = function func() { - for (var i = 0; i < handlers.length; i++) { - handlers[i](value); - } /* [Promises/A+ 2.2.5] */ - }; - - /* execute procedure asynchronously */ /* [Promises/A+ 2.2.4, 3.1] */ - if (typeof setImmediate === 'function') setImmediate(func);else setTimeout(func, 0); - }; - - /* generate a resolver function */ - var resolver = function resolver(cb, next, method) { - return function (value) { - if (typeof cb !== 'function') /* [Promises/A+ 2.2.1, 2.2.7.3, 2.2.7.4] */ - next[method].call(next, value); /* [Promises/A+ 2.2.7.3, 2.2.7.4] */else { - var result; - try { - result = cb(value); - } /* [Promises/A+ 2.2.2.1, 2.2.3.1, 2.2.5, 3.2] */ catch (e) { - next.reject(e); /* [Promises/A+ 2.2.7.2] */ - return; - } - resolve(next, result); /* [Promises/A+ 2.2.7.1] */ - } - }; - }; - - /* "Promise Resolution Procedure" */ /* [Promises/A+ 2.3] */ - var resolve = function resolve(promise, x) { - /* sanity check arguments */ /* [Promises/A+ 2.3.1] */ - if (promise === x || promise.proxy === x) { - promise.reject(new TypeError('cannot resolve promise with itself')); - return; - } - - /* surgically check for a "then" method - (mainly to just call the "getter" of "then" only once) */ - var then; - if (_typeof(x) === 'object' && x !== null || typeof x === 'function') { - try { - then = x.then; - } /* [Promises/A+ 2.3.3.1, 3.5] */ catch (e) { - promise.reject(e); /* [Promises/A+ 2.3.3.2] */ - return; - } - } - - /* handle own Thenables [Promises/A+ 2.3.2] - and similar "thenables" [Promises/A+ 2.3.3] */ - if (typeof then === 'function') { - var resolved = false; - try { - /* call retrieved "then" method */ /* [Promises/A+ 2.3.3.3] */ - then.call(x, /* resolvePromise */ /* [Promises/A+ 2.3.3.3.1] */ - function (y) { - if (resolved) return; - resolved = true; /* [Promises/A+ 2.3.3.3.3] */ - if (y === x) /* [Promises/A+ 3.6] */ - promise.reject(new TypeError('circular thenable chain'));else resolve(promise, y); - }, /* rejectPromise */ /* [Promises/A+ 2.3.3.3.2] */ - function (r) { - if (resolved) return; - resolved = true; /* [Promises/A+ 2.3.3.3.3] */ - promise.reject(r); - }); - } catch (e) { - if (!resolved) /* [Promises/A+ 2.3.3.3.3] */ - promise.reject(e); /* [Promises/A+ 2.3.3.3.4] */ - } - - return; - } - - /* handle other values */ - promise.fulfill(x); /* [Promises/A+ 2.3.4, 2.3.3.4] */ - }; - - // so we always have Promise.all() - api.all = function (ps) { - return new api(function (resolveAll, rejectAll) { - var vals = new Array(ps.length); - var doneCount = 0; - var fulfill = function fulfill(i, val) { - vals[i] = val; - doneCount++; - if (doneCount === ps.length) { - resolveAll(vals); - } - }; - for (var i = 0; i < ps.length; i++) { - (function (i) { - var p = ps[i]; - var isPromise = p != null && p.then != null; - if (isPromise) { - p.then(function (val) { - fulfill(i, val); - }, function (err) { - rejectAll(err); - }); - } else { - var val = p; - fulfill(i, val); - } - })(i); - } - }); - }; - api.resolve = function (val) { - return new api(function (resolve, reject) { - resolve(val); - }); - }; - api.reject = function (val) { - return new api(function (resolve, reject) { - reject(val); - }); - }; - var Promise$1 = typeof Promise !== 'undefined' ? Promise : api; // eslint-disable-line no-undef - - var Animation = function Animation(target, opts, opts2) { - var isCore = core(target); - var isEle = !isCore; - var _p = this._private = extend({ - duration: 1000 - }, opts, opts2); - _p.target = target; - _p.style = _p.style || _p.css; - _p.started = false; - _p.playing = false; - _p.hooked = false; - _p.applying = false; - _p.progress = 0; - _p.completes = []; - _p.frames = []; - if (_p.complete && fn$6(_p.complete)) { - _p.completes.push(_p.complete); - } - if (isEle) { - var pos = target.position(); - _p.startPosition = _p.startPosition || { - x: pos.x, - y: pos.y - }; - _p.startStyle = _p.startStyle || target.cy().style().getAnimationStartStyle(target, _p.style); - } - if (isCore) { - var pan = target.pan(); - _p.startPan = { - x: pan.x, - y: pan.y - }; - _p.startZoom = target.zoom(); - } - - // for future timeline/animations impl - this.length = 1; - this[0] = this; - }; - var anifn = Animation.prototype; - extend(anifn, { - instanceString: function instanceString() { - return 'animation'; - }, - hook: function hook() { - var _p = this._private; - if (!_p.hooked) { - // add to target's animation queue - var q; - var tAni = _p.target._private.animation; - if (_p.queue) { - q = tAni.queue; - } else { - q = tAni.current; - } - q.push(this); - - // add to the animation loop pool - if (elementOrCollection(_p.target)) { - _p.target.cy().addToAnimationPool(_p.target); - } - _p.hooked = true; - } - return this; - }, - play: function play() { - var _p = this._private; - - // autorewind - if (_p.progress === 1) { - _p.progress = 0; - } - _p.playing = true; - _p.started = false; // needs to be started by animation loop - _p.stopped = false; - this.hook(); - - // the animation loop will start the animation... - - return this; - }, - playing: function playing() { - return this._private.playing; - }, - apply: function apply() { - var _p = this._private; - _p.applying = true; - _p.started = false; // needs to be started by animation loop - _p.stopped = false; - this.hook(); - - // the animation loop will apply the animation at this progress - - return this; - }, - applying: function applying() { - return this._private.applying; - }, - pause: function pause() { - var _p = this._private; - _p.playing = false; - _p.started = false; - return this; - }, - stop: function stop() { - var _p = this._private; - _p.playing = false; - _p.started = false; - _p.stopped = true; // to be removed from animation queues - - return this; - }, - rewind: function rewind() { - return this.progress(0); - }, - fastforward: function fastforward() { - return this.progress(1); - }, - time: function time(t) { - var _p = this._private; - if (t === undefined) { - return _p.progress * _p.duration; - } else { - return this.progress(t / _p.duration); - } - }, - progress: function progress(p) { - var _p = this._private; - var wasPlaying = _p.playing; - if (p === undefined) { - return _p.progress; - } else { - if (wasPlaying) { - this.pause(); - } - _p.progress = p; - _p.started = false; - if (wasPlaying) { - this.play(); - } - } - return this; - }, - completed: function completed() { - return this._private.progress === 1; - }, - reverse: function reverse() { - var _p = this._private; - var wasPlaying = _p.playing; - if (wasPlaying) { - this.pause(); - } - _p.progress = 1 - _p.progress; - _p.started = false; - var swap = function swap(a, b) { - var _pa = _p[a]; - if (_pa == null) { - return; - } - _p[a] = _p[b]; - _p[b] = _pa; - }; - swap('zoom', 'startZoom'); - swap('pan', 'startPan'); - swap('position', 'startPosition'); - - // swap styles - if (_p.style) { - for (var i = 0; i < _p.style.length; i++) { - var prop = _p.style[i]; - var name = prop.name; - var startStyleProp = _p.startStyle[name]; - _p.startStyle[name] = prop; - _p.style[i] = startStyleProp; - } - } - if (wasPlaying) { - this.play(); - } - return this; - }, - promise: function promise(type) { - var _p = this._private; - var arr; - switch (type) { - case 'frame': - arr = _p.frames; - break; - default: - case 'complete': - case 'completed': - arr = _p.completes; - } - return new Promise$1(function (resolve, reject) { - arr.push(function () { - resolve(); - }); - }); - } - }); - anifn.complete = anifn.completed; - anifn.run = anifn.play; - anifn.running = anifn.playing; - - var define$3 = { - animated: function animated() { - return function animatedImpl() { - var self = this; - var selfIsArrayLike = self.length !== undefined; - var all = selfIsArrayLike ? self : [self]; // put in array if not array-like - var cy = this._private.cy || this; - if (!cy.styleEnabled()) { - return false; - } - var ele = all[0]; - if (ele) { - return ele._private.animation.current.length > 0; - } - }; - }, - // animated - - clearQueue: function clearQueue() { - return function clearQueueImpl() { - var self = this; - var selfIsArrayLike = self.length !== undefined; - var all = selfIsArrayLike ? self : [self]; // put in array if not array-like - var cy = this._private.cy || this; - if (!cy.styleEnabled()) { - return this; - } - for (var i = 0; i < all.length; i++) { - var ele = all[i]; - ele._private.animation.queue = []; - } - return this; - }; - }, - // clearQueue - - delay: function delay() { - return function delayImpl(time, complete) { - var cy = this._private.cy || this; - if (!cy.styleEnabled()) { - return this; - } - return this.animate({ - delay: time, - duration: time, - complete: complete - }); - }; - }, - // delay - - delayAnimation: function delayAnimation() { - return function delayAnimationImpl(time, complete) { - var cy = this._private.cy || this; - if (!cy.styleEnabled()) { - return this; - } - return this.animation({ - delay: time, - duration: time, - complete: complete - }); - }; - }, - // delay - - animation: function animation() { - return function animationImpl(properties, params) { - var self = this; - var selfIsArrayLike = self.length !== undefined; - var all = selfIsArrayLike ? self : [self]; // put in array if not array-like - var cy = this._private.cy || this; - var isCore = !selfIsArrayLike; - var isEles = !isCore; - if (!cy.styleEnabled()) { - return this; - } - var style = cy.style(); - properties = extend({}, properties, params); - var propertiesEmpty = Object.keys(properties).length === 0; - if (propertiesEmpty) { - return new Animation(all[0], properties); // nothing to animate - } - - if (properties.duration === undefined) { - properties.duration = 400; - } - switch (properties.duration) { - case 'slow': - properties.duration = 600; - break; - case 'fast': - properties.duration = 200; - break; - } - if (isEles) { - properties.style = style.getPropsList(properties.style || properties.css); - properties.css = undefined; - } - if (isEles && properties.renderedPosition != null) { - var rpos = properties.renderedPosition; - var pan = cy.pan(); - var zoom = cy.zoom(); - properties.position = renderedToModelPosition(rpos, zoom, pan); - } - - // override pan w/ panBy if set - if (isCore && properties.panBy != null) { - var panBy = properties.panBy; - var cyPan = cy.pan(); - properties.pan = { - x: cyPan.x + panBy.x, - y: cyPan.y + panBy.y - }; - } - - // override pan w/ center if set - var center = properties.center || properties.centre; - if (isCore && center != null) { - var centerPan = cy.getCenterPan(center.eles, properties.zoom); - if (centerPan != null) { - properties.pan = centerPan; - } - } - - // override pan & zoom w/ fit if set - if (isCore && properties.fit != null) { - var fit = properties.fit; - var fitVp = cy.getFitViewport(fit.eles || fit.boundingBox, fit.padding); - if (fitVp != null) { - properties.pan = fitVp.pan; - properties.zoom = fitVp.zoom; - } - } - - // override zoom (& potentially pan) w/ zoom obj if set - if (isCore && plainObject(properties.zoom)) { - var vp = cy.getZoomedViewport(properties.zoom); - if (vp != null) { - if (vp.zoomed) { - properties.zoom = vp.zoom; - } - if (vp.panned) { - properties.pan = vp.pan; - } - } else { - properties.zoom = null; // an inavalid zoom (e.g. no delta) gets automatically destroyed - } - } - - return new Animation(all[0], properties); - }; - }, - // animate - - animate: function animate() { - return function animateImpl(properties, params) { - var self = this; - var selfIsArrayLike = self.length !== undefined; - var all = selfIsArrayLike ? self : [self]; // put in array if not array-like - var cy = this._private.cy || this; - if (!cy.styleEnabled()) { - return this; - } - if (params) { - properties = extend({}, properties, params); - } - - // manually hook and run the animation - for (var i = 0; i < all.length; i++) { - var ele = all[i]; - var queue = ele.animated() && (properties.queue === undefined || properties.queue); - var ani = ele.animation(properties, queue ? { - queue: true - } : undefined); - ani.play(); - } - return this; // chaining - }; - }, - - // animate - - stop: function stop() { - return function stopImpl(clearQueue, jumpToEnd) { - var self = this; - var selfIsArrayLike = self.length !== undefined; - var all = selfIsArrayLike ? self : [self]; // put in array if not array-like - var cy = this._private.cy || this; - if (!cy.styleEnabled()) { - return this; - } - for (var i = 0; i < all.length; i++) { - var ele = all[i]; - var _p = ele._private; - var anis = _p.animation.current; - for (var j = 0; j < anis.length; j++) { - var ani = anis[j]; - var ani_p = ani._private; - if (jumpToEnd) { - // next iteration of the animation loop, the animation - // will go straight to the end and be removed - ani_p.duration = 0; - } - } - - // clear the queue of future animations - if (clearQueue) { - _p.animation.queue = []; - } - if (!jumpToEnd) { - _p.animation.current = []; - } - } - - // we have to notify (the animation loop doesn't do it for us on `stop`) - cy.notify('draw'); - return this; - }; - } // stop - }; // define - - /** - * Checks if `value` is classified as an `Array` object. - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Lang - * @param {*} value The value to check. - * @returns {boolean} Returns `true` if `value` is an array, else `false`. - * @example - * - * _.isArray([1, 2, 3]); - * // => true - * - * _.isArray(document.body.children); - * // => false - * - * _.isArray('abc'); - * // => false - * - * _.isArray(_.noop); - * // => false - */ - var isArray = Array.isArray; - - var isArray_1 = isArray; - - /** Used to match property names within property paths. */ - var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, - reIsPlainProp = /^\w*$/; - - /** - * Checks if `value` is a property name and not a property path. - * - * @private - * @param {*} value The value to check. - * @param {Object} [object] The object to query keys on. - * @returns {boolean} Returns `true` if `value` is a property name, else `false`. - */ - function isKey(value, object) { - if (isArray_1(value)) { - return false; - } - var type = typeof value; - if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || isSymbol_1(value)) { - return true; - } - return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || - (object != null && value in Object(object)); - } - - var _isKey = isKey; - - /** `Object#toString` result references. */ - var asyncTag = '[object AsyncFunction]', - funcTag = '[object Function]', - genTag = '[object GeneratorFunction]', - proxyTag = '[object Proxy]'; - - /** - * Checks if `value` is classified as a `Function` object. - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Lang - * @param {*} value The value to check. - * @returns {boolean} Returns `true` if `value` is a function, else `false`. - * @example - * - * _.isFunction(_); - * // => true - * - * _.isFunction(/abc/); - * // => false - */ - function isFunction(value) { - if (!isObject_1(value)) { - return false; - } - // The use of `Object#toString` avoids issues with the `typeof` operator - // in Safari 9 which returns 'object' for typed arrays and other constructors. - var tag = _baseGetTag(value); - return tag == funcTag || tag == genTag || tag == asyncTag || tag == proxyTag; - } - - var isFunction_1 = isFunction; - - /** Used to detect overreaching core-js shims. */ - var coreJsData = _root['__core-js_shared__']; - - var _coreJsData = coreJsData; - - /** Used to detect methods masquerading as native. */ - var maskSrcKey = (function() { - var uid = /[^.]+$/.exec(_coreJsData && _coreJsData.keys && _coreJsData.keys.IE_PROTO || ''); - return uid ? ('Symbol(src)_1.' + uid) : ''; - }()); - - /** - * Checks if `func` has its source masked. - * - * @private - * @param {Function} func The function to check. - * @returns {boolean} Returns `true` if `func` is masked, else `false`. - */ - function isMasked(func) { - return !!maskSrcKey && (maskSrcKey in func); - } - - var _isMasked = isMasked; - - /** Used for built-in method references. */ - var funcProto$1 = Function.prototype; - - /** Used to resolve the decompiled source of functions. */ - var funcToString$1 = funcProto$1.toString; - - /** - * Converts `func` to its source code. - * - * @private - * @param {Function} func The function to convert. - * @returns {string} Returns the source code. - */ - function toSource(func) { - if (func != null) { - try { - return funcToString$1.call(func); - } catch (e) {} - try { - return (func + ''); - } catch (e) {} - } - return ''; - } - - var _toSource = toSource; - - /** - * Used to match `RegExp` - * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns). - */ - var reRegExpChar = /[\\^$.*+?()[\]{}|]/g; - - /** Used to detect host constructors (Safari). */ - var reIsHostCtor = /^\[object .+?Constructor\]$/; - - /** Used for built-in method references. */ - var funcProto = Function.prototype, - objectProto$3 = Object.prototype; - - /** Used to resolve the decompiled source of functions. */ - var funcToString = funcProto.toString; - - /** Used to check objects for own properties. */ - var hasOwnProperty$3 = objectProto$3.hasOwnProperty; - - /** Used to detect if a method is native. */ - var reIsNative = RegExp('^' + - funcToString.call(hasOwnProperty$3).replace(reRegExpChar, '\\$&') - .replace(/hasOwnProperty|(function).*?(?=\\\()| for .+?(?=\\\])/g, '$1.*?') + '$' - ); - - /** - * The base implementation of `_.isNative` without bad shim checks. - * - * @private - * @param {*} value The value to check. - * @returns {boolean} Returns `true` if `value` is a native function, - * else `false`. - */ - function baseIsNative(value) { - if (!isObject_1(value) || _isMasked(value)) { - return false; - } - var pattern = isFunction_1(value) ? reIsNative : reIsHostCtor; - return pattern.test(_toSource(value)); - } - - var _baseIsNative = baseIsNative; - - /** - * Gets the value at `key` of `object`. - * - * @private - * @param {Object} [object] The object to query. - * @param {string} key The key of the property to get. - * @returns {*} Returns the property value. - */ - function getValue$1(object, key) { - return object == null ? undefined : object[key]; - } - - var _getValue = getValue$1; - - /** - * Gets the native function at `key` of `object`. - * - * @private - * @param {Object} object The object to query. - * @param {string} key The key of the method to get. - * @returns {*} Returns the function if it's native, else `undefined`. - */ - function getNative(object, key) { - var value = _getValue(object, key); - return _baseIsNative(value) ? value : undefined; - } - - var _getNative = getNative; - - /* Built-in method references that are verified to be native. */ - var nativeCreate = _getNative(Object, 'create'); - - var _nativeCreate = nativeCreate; - - /** - * Removes all key-value entries from the hash. - * - * @private - * @name clear - * @memberOf Hash - */ - function hashClear() { - this.__data__ = _nativeCreate ? _nativeCreate(null) : {}; - this.size = 0; - } - - var _hashClear = hashClear; - - /** - * Removes `key` and its value from the hash. - * - * @private - * @name delete - * @memberOf Hash - * @param {Object} hash The hash to modify. - * @param {string} key The key of the value to remove. - * @returns {boolean} Returns `true` if the entry was removed, else `false`. - */ - function hashDelete(key) { - var result = this.has(key) && delete this.__data__[key]; - this.size -= result ? 1 : 0; - return result; - } - - var _hashDelete = hashDelete; - - /** Used to stand-in for `undefined` hash values. */ - var HASH_UNDEFINED$1 = '__lodash_hash_undefined__'; - - /** Used for built-in method references. */ - var objectProto$2 = Object.prototype; - - /** Used to check objects for own properties. */ - var hasOwnProperty$2 = objectProto$2.hasOwnProperty; - - /** - * Gets the hash value for `key`. - * - * @private - * @name get - * @memberOf Hash - * @param {string} key The key of the value to get. - * @returns {*} Returns the entry value. - */ - function hashGet(key) { - var data = this.__data__; - if (_nativeCreate) { - var result = data[key]; - return result === HASH_UNDEFINED$1 ? undefined : result; - } - return hasOwnProperty$2.call(data, key) ? data[key] : undefined; - } - - var _hashGet = hashGet; - - /** Used for built-in method references. */ - var objectProto$1 = Object.prototype; - - /** Used to check objects for own properties. */ - var hasOwnProperty$1 = objectProto$1.hasOwnProperty; - - /** - * Checks if a hash value for `key` exists. - * - * @private - * @name has - * @memberOf Hash - * @param {string} key The key of the entry to check. - * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. - */ - function hashHas(key) { - var data = this.__data__; - return _nativeCreate ? (data[key] !== undefined) : hasOwnProperty$1.call(data, key); - } - - var _hashHas = hashHas; - - /** Used to stand-in for `undefined` hash values. */ - var HASH_UNDEFINED = '__lodash_hash_undefined__'; - - /** - * Sets the hash `key` to `value`. - * - * @private - * @name set - * @memberOf Hash - * @param {string} key The key of the value to set. - * @param {*} value The value to set. - * @returns {Object} Returns the hash instance. - */ - function hashSet(key, value) { - var data = this.__data__; - this.size += this.has(key) ? 0 : 1; - data[key] = (_nativeCreate && value === undefined) ? HASH_UNDEFINED : value; - return this; - } - - var _hashSet = hashSet; - - /** - * Creates a hash object. - * - * @private - * @constructor - * @param {Array} [entries] The key-value pairs to cache. - */ - function Hash(entries) { - var index = -1, - length = entries == null ? 0 : entries.length; - - this.clear(); - while (++index < length) { - var entry = entries[index]; - this.set(entry[0], entry[1]); - } - } - - // Add methods to `Hash`. - Hash.prototype.clear = _hashClear; - Hash.prototype['delete'] = _hashDelete; - Hash.prototype.get = _hashGet; - Hash.prototype.has = _hashHas; - Hash.prototype.set = _hashSet; - - var _Hash = Hash; - - /** - * Removes all key-value entries from the list cache. - * - * @private - * @name clear - * @memberOf ListCache - */ - function listCacheClear() { - this.__data__ = []; - this.size = 0; - } - - var _listCacheClear = listCacheClear; - - /** - * Performs a - * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero) - * comparison between two values to determine if they are equivalent. - * - * @static - * @memberOf _ - * @since 4.0.0 - * @category Lang - * @param {*} value The value to compare. - * @param {*} other The other value to compare. - * @returns {boolean} Returns `true` if the values are equivalent, else `false`. - * @example - * - * var object = { 'a': 1 }; - * var other = { 'a': 1 }; - * - * _.eq(object, object); - * // => true - * - * _.eq(object, other); - * // => false - * - * _.eq('a', 'a'); - * // => true - * - * _.eq('a', Object('a')); - * // => false - * - * _.eq(NaN, NaN); - * // => true - */ - function eq(value, other) { - return value === other || (value !== value && other !== other); - } - - var eq_1 = eq; - - /** - * Gets the index at which the `key` is found in `array` of key-value pairs. - * - * @private - * @param {Array} array The array to inspect. - * @param {*} key The key to search for. - * @returns {number} Returns the index of the matched value, else `-1`. - */ - function assocIndexOf(array, key) { - var length = array.length; - while (length--) { - if (eq_1(array[length][0], key)) { - return length; - } - } - return -1; - } - - var _assocIndexOf = assocIndexOf; - - /** Used for built-in method references. */ - var arrayProto = Array.prototype; - - /** Built-in value references. */ - var splice = arrayProto.splice; - - /** - * Removes `key` and its value from the list cache. - * - * @private - * @name delete - * @memberOf ListCache - * @param {string} key The key of the value to remove. - * @returns {boolean} Returns `true` if the entry was removed, else `false`. - */ - function listCacheDelete(key) { - var data = this.__data__, - index = _assocIndexOf(data, key); - - if (index < 0) { - return false; - } - var lastIndex = data.length - 1; - if (index == lastIndex) { - data.pop(); - } else { - splice.call(data, index, 1); - } - --this.size; - return true; - } - - var _listCacheDelete = listCacheDelete; - - /** - * Gets the list cache value for `key`. - * - * @private - * @name get - * @memberOf ListCache - * @param {string} key The key of the value to get. - * @returns {*} Returns the entry value. - */ - function listCacheGet(key) { - var data = this.__data__, - index = _assocIndexOf(data, key); - - return index < 0 ? undefined : data[index][1]; - } - - var _listCacheGet = listCacheGet; - - /** - * Checks if a list cache value for `key` exists. - * - * @private - * @name has - * @memberOf ListCache - * @param {string} key The key of the entry to check. - * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. - */ - function listCacheHas(key) { - return _assocIndexOf(this.__data__, key) > -1; - } - - var _listCacheHas = listCacheHas; - - /** - * Sets the list cache `key` to `value`. - * - * @private - * @name set - * @memberOf ListCache - * @param {string} key The key of the value to set. - * @param {*} value The value to set. - * @returns {Object} Returns the list cache instance. - */ - function listCacheSet(key, value) { - var data = this.__data__, - index = _assocIndexOf(data, key); - - if (index < 0) { - ++this.size; - data.push([key, value]); - } else { - data[index][1] = value; - } - return this; - } - - var _listCacheSet = listCacheSet; - - /** - * Creates an list cache object. - * - * @private - * @constructor - * @param {Array} [entries] The key-value pairs to cache. - */ - function ListCache(entries) { - var index = -1, - length = entries == null ? 0 : entries.length; - - this.clear(); - while (++index < length) { - var entry = entries[index]; - this.set(entry[0], entry[1]); - } - } - - // Add methods to `ListCache`. - ListCache.prototype.clear = _listCacheClear; - ListCache.prototype['delete'] = _listCacheDelete; - ListCache.prototype.get = _listCacheGet; - ListCache.prototype.has = _listCacheHas; - ListCache.prototype.set = _listCacheSet; - - var _ListCache = ListCache; - - /* Built-in method references that are verified to be native. */ - var Map$1 = _getNative(_root, 'Map'); - - var _Map = Map$1; - - /** - * Removes all key-value entries from the map. - * - * @private - * @name clear - * @memberOf MapCache - */ - function mapCacheClear() { - this.size = 0; - this.__data__ = { - 'hash': new _Hash, - 'map': new (_Map || _ListCache), - 'string': new _Hash - }; - } - - var _mapCacheClear = mapCacheClear; - - /** - * Checks if `value` is suitable for use as unique object key. - * - * @private - * @param {*} value The value to check. - * @returns {boolean} Returns `true` if `value` is suitable, else `false`. - */ - function isKeyable(value) { - var type = typeof value; - return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean') - ? (value !== '__proto__') - : (value === null); - } - - var _isKeyable = isKeyable; - - /** - * Gets the data for `map`. - * - * @private - * @param {Object} map The map to query. - * @param {string} key The reference key. - * @returns {*} Returns the map data. - */ - function getMapData(map, key) { - var data = map.__data__; - return _isKeyable(key) - ? data[typeof key == 'string' ? 'string' : 'hash'] - : data.map; - } - - var _getMapData = getMapData; - - /** - * Removes `key` and its value from the map. - * - * @private - * @name delete - * @memberOf MapCache - * @param {string} key The key of the value to remove. - * @returns {boolean} Returns `true` if the entry was removed, else `false`. - */ - function mapCacheDelete(key) { - var result = _getMapData(this, key)['delete'](key); - this.size -= result ? 1 : 0; - return result; - } - - var _mapCacheDelete = mapCacheDelete; - - /** - * Gets the map value for `key`. - * - * @private - * @name get - * @memberOf MapCache - * @param {string} key The key of the value to get. - * @returns {*} Returns the entry value. - */ - function mapCacheGet(key) { - return _getMapData(this, key).get(key); - } - - var _mapCacheGet = mapCacheGet; - - /** - * Checks if a map value for `key` exists. - * - * @private - * @name has - * @memberOf MapCache - * @param {string} key The key of the entry to check. - * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. - */ - function mapCacheHas(key) { - return _getMapData(this, key).has(key); - } - - var _mapCacheHas = mapCacheHas; - - /** - * Sets the map `key` to `value`. - * - * @private - * @name set - * @memberOf MapCache - * @param {string} key The key of the value to set. - * @param {*} value The value to set. - * @returns {Object} Returns the map cache instance. - */ - function mapCacheSet(key, value) { - var data = _getMapData(this, key), - size = data.size; - - data.set(key, value); - this.size += data.size == size ? 0 : 1; - return this; - } - - var _mapCacheSet = mapCacheSet; - - /** - * Creates a map cache object to store key-value pairs. - * - * @private - * @constructor - * @param {Array} [entries] The key-value pairs to cache. - */ - function MapCache(entries) { - var index = -1, - length = entries == null ? 0 : entries.length; - - this.clear(); - while (++index < length) { - var entry = entries[index]; - this.set(entry[0], entry[1]); - } - } - - // Add methods to `MapCache`. - MapCache.prototype.clear = _mapCacheClear; - MapCache.prototype['delete'] = _mapCacheDelete; - MapCache.prototype.get = _mapCacheGet; - MapCache.prototype.has = _mapCacheHas; - MapCache.prototype.set = _mapCacheSet; - - var _MapCache = MapCache; - - /** Error message constants. */ - var FUNC_ERROR_TEXT = 'Expected a function'; - - /** - * Creates a function that memoizes the result of `func`. If `resolver` is - * provided, it determines the cache key for storing the result based on the - * arguments provided to the memoized function. By default, the first argument - * provided to the memoized function is used as the map cache key. The `func` - * is invoked with the `this` binding of the memoized function. - * - * **Note:** The cache is exposed as the `cache` property on the memoized - * function. Its creation may be customized by replacing the `_.memoize.Cache` - * constructor with one whose instances implement the - * [`Map`](http://ecma-international.org/ecma-262/7.0/#sec-properties-of-the-map-prototype-object) - * method interface of `clear`, `delete`, `get`, `has`, and `set`. - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Function - * @param {Function} func The function to have its output memoized. - * @param {Function} [resolver] The function to resolve the cache key. - * @returns {Function} Returns the new memoized function. - * @example - * - * var object = { 'a': 1, 'b': 2 }; - * var other = { 'c': 3, 'd': 4 }; - * - * var values = _.memoize(_.values); - * values(object); - * // => [1, 2] - * - * values(other); - * // => [3, 4] - * - * object.a = 2; - * values(object); - * // => [1, 2] - * - * // Modify the result cache. - * values.cache.set(object, ['a', 'b']); - * values(object); - * // => ['a', 'b'] - * - * // Replace `_.memoize.Cache`. - * _.memoize.Cache = WeakMap; - */ - function memoize(func, resolver) { - if (typeof func != 'function' || (resolver != null && typeof resolver != 'function')) { - throw new TypeError(FUNC_ERROR_TEXT); - } - var memoized = function() { - var args = arguments, - key = resolver ? resolver.apply(this, args) : args[0], - cache = memoized.cache; - - if (cache.has(key)) { - return cache.get(key); - } - var result = func.apply(this, args); - memoized.cache = cache.set(key, result) || cache; - return result; - }; - memoized.cache = new (memoize.Cache || _MapCache); - return memoized; - } - - // Expose `MapCache`. - memoize.Cache = _MapCache; - - var memoize_1 = memoize; - - /** Used as the maximum memoize cache size. */ - var MAX_MEMOIZE_SIZE = 500; - - /** - * A specialized version of `_.memoize` which clears the memoized function's - * cache when it exceeds `MAX_MEMOIZE_SIZE`. - * - * @private - * @param {Function} func The function to have its output memoized. - * @returns {Function} Returns the new memoized function. - */ - function memoizeCapped(func) { - var result = memoize_1(func, function(key) { - if (cache.size === MAX_MEMOIZE_SIZE) { - cache.clear(); - } - return key; - }); - - var cache = result.cache; - return result; - } - - var _memoizeCapped = memoizeCapped; - - /** Used to match property names within property paths. */ - var rePropName = /[^.[\]]+|\[(?:(-?\d+(?:\.\d+)?)|(["'])((?:(?!\2)[^\\]|\\.)*?)\2)\]|(?=(?:\.|\[\])(?:\.|\[\]|$))/g; - - /** Used to match backslashes in property paths. */ - var reEscapeChar = /\\(\\)?/g; - - /** - * Converts `string` to a property path array. - * - * @private - * @param {string} string The string to convert. - * @returns {Array} Returns the property path array. - */ - var stringToPath = _memoizeCapped(function(string) { - var result = []; - if (string.charCodeAt(0) === 46 /* . */) { - result.push(''); - } - string.replace(rePropName, function(match, number, quote, subString) { - result.push(quote ? subString.replace(reEscapeChar, '$1') : (number || match)); - }); - return result; - }); - - var _stringToPath = stringToPath; - - /** - * A specialized version of `_.map` for arrays without support for iteratee - * shorthands. - * - * @private - * @param {Array} [array] The array to iterate over. - * @param {Function} iteratee The function invoked per iteration. - * @returns {Array} Returns the new mapped array. - */ - function arrayMap(array, iteratee) { - var index = -1, - length = array == null ? 0 : array.length, - result = Array(length); - - while (++index < length) { - result[index] = iteratee(array[index], index, array); - } - return result; - } - - var _arrayMap = arrayMap; - - /** Used as references for various `Number` constants. */ - var INFINITY$1 = 1 / 0; - - /** Used to convert symbols to primitives and strings. */ - var symbolProto = _Symbol ? _Symbol.prototype : undefined, - symbolToString = symbolProto ? symbolProto.toString : undefined; - - /** - * The base implementation of `_.toString` which doesn't convert nullish - * values to empty strings. - * - * @private - * @param {*} value The value to process. - * @returns {string} Returns the string. - */ - function baseToString(value) { - // Exit early for strings to avoid a performance hit in some environments. - if (typeof value == 'string') { - return value; - } - if (isArray_1(value)) { - // Recursively convert values (susceptible to call stack limits). - return _arrayMap(value, baseToString) + ''; - } - if (isSymbol_1(value)) { - return symbolToString ? symbolToString.call(value) : ''; - } - var result = (value + ''); - return (result == '0' && (1 / value) == -INFINITY$1) ? '-0' : result; - } - - var _baseToString = baseToString; - - /** - * Converts `value` to a string. An empty string is returned for `null` - * and `undefined` values. The sign of `-0` is preserved. - * - * @static - * @memberOf _ - * @since 4.0.0 - * @category Lang - * @param {*} value The value to convert. - * @returns {string} Returns the converted string. - * @example - * - * _.toString(null); - * // => '' - * - * _.toString(-0); - * // => '-0' - * - * _.toString([1, 2, 3]); - * // => '1,2,3' - */ - function toString$1(value) { - return value == null ? '' : _baseToString(value); - } - - var toString_1 = toString$1; - - /** - * Casts `value` to a path array if it's not one. - * - * @private - * @param {*} value The value to inspect. - * @param {Object} [object] The object to query keys on. - * @returns {Array} Returns the cast property path array. - */ - function castPath(value, object) { - if (isArray_1(value)) { - return value; - } - return _isKey(value, object) ? [value] : _stringToPath(toString_1(value)); - } - - var _castPath = castPath; - - /** Used as references for various `Number` constants. */ - var INFINITY = 1 / 0; - - /** - * Converts `value` to a string key if it's not a string or symbol. - * - * @private - * @param {*} value The value to inspect. - * @returns {string|symbol} Returns the key. - */ - function toKey(value) { - if (typeof value == 'string' || isSymbol_1(value)) { - return value; - } - var result = (value + ''); - return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result; - } - - var _toKey = toKey; - - /** - * The base implementation of `_.get` without support for default values. - * - * @private - * @param {Object} object The object to query. - * @param {Array|string} path The path of the property to get. - * @returns {*} Returns the resolved value. - */ - function baseGet(object, path) { - path = _castPath(path, object); - - var index = 0, - length = path.length; - - while (object != null && index < length) { - object = object[_toKey(path[index++])]; - } - return (index && index == length) ? object : undefined; - } - - var _baseGet = baseGet; - - /** - * Gets the value at `path` of `object`. If the resolved value is - * `undefined`, the `defaultValue` is returned in its place. - * - * @static - * @memberOf _ - * @since 3.7.0 - * @category Object - * @param {Object} object The object to query. - * @param {Array|string} path The path of the property to get. - * @param {*} [defaultValue] The value returned for `undefined` resolved values. - * @returns {*} Returns the resolved value. - * @example - * - * var object = { 'a': [{ 'b': { 'c': 3 } }] }; - * - * _.get(object, 'a[0].b.c'); - * // => 3 - * - * _.get(object, ['a', '0', 'b', 'c']); - * // => 3 - * - * _.get(object, 'a.b.c', 'default'); - * // => 'default' - */ - function get(object, path, defaultValue) { - var result = object == null ? undefined : _baseGet(object, path); - return result === undefined ? defaultValue : result; - } - - var get_1 = get; - - var defineProperty = (function() { - try { - var func = _getNative(Object, 'defineProperty'); - func({}, '', {}); - return func; - } catch (e) {} - }()); - - var _defineProperty = defineProperty; - - /** - * The base implementation of `assignValue` and `assignMergeValue` without - * value checks. - * - * @private - * @param {Object} object The object to modify. - * @param {string} key The key of the property to assign. - * @param {*} value The value to assign. - */ - function baseAssignValue(object, key, value) { - if (key == '__proto__' && _defineProperty) { - _defineProperty(object, key, { - 'configurable': true, - 'enumerable': true, - 'value': value, - 'writable': true - }); - } else { - object[key] = value; - } - } - - var _baseAssignValue = baseAssignValue; - - /** Used for built-in method references. */ - var objectProto = Object.prototype; - - /** Used to check objects for own properties. */ - var hasOwnProperty = objectProto.hasOwnProperty; - - /** - * Assigns `value` to `key` of `object` if the existing value is not equivalent - * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero) - * for equality comparisons. - * - * @private - * @param {Object} object The object to modify. - * @param {string} key The key of the property to assign. - * @param {*} value The value to assign. - */ - function assignValue(object, key, value) { - var objValue = object[key]; - if (!(hasOwnProperty.call(object, key) && eq_1(objValue, value)) || - (value === undefined && !(key in object))) { - _baseAssignValue(object, key, value); - } - } - - var _assignValue = assignValue; - - /** Used as references for various `Number` constants. */ - var MAX_SAFE_INTEGER = 9007199254740991; - - /** Used to detect unsigned integer values. */ - var reIsUint = /^(?:0|[1-9]\d*)$/; - - /** - * Checks if `value` is a valid array-like index. - * - * @private - * @param {*} value The value to check. - * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index. - * @returns {boolean} Returns `true` if `value` is a valid index, else `false`. - */ - function isIndex(value, length) { - var type = typeof value; - length = length == null ? MAX_SAFE_INTEGER : length; - - return !!length && - (type == 'number' || - (type != 'symbol' && reIsUint.test(value))) && - (value > -1 && value % 1 == 0 && value < length); - } - - var _isIndex = isIndex; - - /** - * The base implementation of `_.set`. - * - * @private - * @param {Object} object The object to modify. - * @param {Array|string} path The path of the property to set. - * @param {*} value The value to set. - * @param {Function} [customizer] The function to customize path creation. - * @returns {Object} Returns `object`. - */ - function baseSet(object, path, value, customizer) { - if (!isObject_1(object)) { - return object; - } - path = _castPath(path, object); - - var index = -1, - length = path.length, - lastIndex = length - 1, - nested = object; - - while (nested != null && ++index < length) { - var key = _toKey(path[index]), - newValue = value; - - if (key === '__proto__' || key === 'constructor' || key === 'prototype') { - return object; - } - - if (index != lastIndex) { - var objValue = nested[key]; - newValue = customizer ? customizer(objValue, key, nested) : undefined; - if (newValue === undefined) { - newValue = isObject_1(objValue) - ? objValue - : (_isIndex(path[index + 1]) ? [] : {}); - } - } - _assignValue(nested, key, newValue); - nested = nested[key]; - } - return object; - } - - var _baseSet = baseSet; - - /** - * Sets the value at `path` of `object`. If a portion of `path` doesn't exist, - * it's created. Arrays are created for missing index properties while objects - * are created for all other missing properties. Use `_.setWith` to customize - * `path` creation. - * - * **Note:** This method mutates `object`. - * - * @static - * @memberOf _ - * @since 3.7.0 - * @category Object - * @param {Object} object The object to modify. - * @param {Array|string} path The path of the property to set. - * @param {*} value The value to set. - * @returns {Object} Returns `object`. - * @example - * - * var object = { 'a': [{ 'b': { 'c': 3 } }] }; - * - * _.set(object, 'a[0].b.c', 4); - * console.log(object.a[0].b.c); - * // => 4 - * - * _.set(object, ['x', '0', 'y', 'z'], 5); - * console.log(object.x[0].y.z); - * // => 5 - */ - function set(object, path, value) { - return object == null ? object : _baseSet(object, path, value); - } - - var set_1 = set; - - /** - * Copies the values of `source` to `array`. - * - * @private - * @param {Array} source The array to copy values from. - * @param {Array} [array=[]] The array to copy values to. - * @returns {Array} Returns `array`. - */ - function copyArray(source, array) { - var index = -1, - length = source.length; - - array || (array = Array(length)); - while (++index < length) { - array[index] = source[index]; - } - return array; - } - - var _copyArray = copyArray; - - /** - * Converts `value` to a property path array. - * - * @static - * @memberOf _ - * @since 4.0.0 - * @category Util - * @param {*} value The value to convert. - * @returns {Array} Returns the new property path array. - * @example - * - * _.toPath('a.b.c'); - * // => ['a', 'b', 'c'] - * - * _.toPath('a[0].b.c'); - * // => ['a', '0', 'b', 'c'] - */ - function toPath(value) { - if (isArray_1(value)) { - return _arrayMap(value, _toKey); - } - return isSymbol_1(value) ? [value] : _copyArray(_stringToPath(toString_1(value))); - } - - var toPath_1 = toPath; - - var define$2 = { - // access data field - data: function data(params) { - var defaults = { - field: 'data', - bindingEvent: 'data', - allowBinding: false, - allowSetting: false, - allowGetting: false, - settingEvent: 'data', - settingTriggersEvent: false, - triggerFnName: 'trigger', - immutableKeys: {}, - // key => true if immutable - updateStyle: false, - beforeGet: function beforeGet(self) {}, - beforeSet: function beforeSet(self, obj) {}, - onSet: function onSet(self) {}, - canSet: function canSet(self) { - return true; - } - }; - params = extend({}, defaults, params); - return function dataImpl(name, value) { - var p = params; - var self = this; - var selfIsArrayLike = self.length !== undefined; - var all = selfIsArrayLike ? self : [self]; // put in array if not array-like - var single = selfIsArrayLike ? self[0] : self; - - // .data('foo', ...) - if (string(name)) { - // set or get property - var isPathLike = name.indexOf('.') !== -1; // there might be a normal field with a dot - var path = isPathLike && toPath_1(name); - - // .data('foo') - if (p.allowGetting && value === undefined) { - // get - - var ret; - if (single) { - p.beforeGet(single); - - // check if it's path and a field with the same name doesn't exist - if (path && single._private[p.field][name] === undefined) { - ret = get_1(single._private[p.field], path); - } else { - ret = single._private[p.field][name]; - } - } - return ret; - - // .data('foo', 'bar') - } else if (p.allowSetting && value !== undefined) { - // set - var valid = !p.immutableKeys[name]; - if (valid) { - var change = _defineProperty$1({}, name, value); - p.beforeSet(self, change); - for (var i = 0, l = all.length; i < l; i++) { - var ele = all[i]; - if (p.canSet(ele)) { - if (path && single._private[p.field][name] === undefined) { - set_1(ele._private[p.field], path, value); - } else { - ele._private[p.field][name] = value; - } - } - } - - // update mappers if asked - if (p.updateStyle) { - self.updateStyle(); - } - - // call onSet callback - p.onSet(self); - if (p.settingTriggersEvent) { - self[p.triggerFnName](p.settingEvent); - } - } - } - - // .data({ 'foo': 'bar' }) - } else if (p.allowSetting && plainObject(name)) { - // extend - var obj = name; - var k, v; - var keys = Object.keys(obj); - p.beforeSet(self, obj); - for (var _i = 0; _i < keys.length; _i++) { - k = keys[_i]; - v = obj[k]; - var _valid = !p.immutableKeys[k]; - if (_valid) { - for (var j = 0; j < all.length; j++) { - var _ele = all[j]; - if (p.canSet(_ele)) { - _ele._private[p.field][k] = v; - } - } - } - } - - // update mappers if asked - if (p.updateStyle) { - self.updateStyle(); - } - - // call onSet callback - p.onSet(self); - if (p.settingTriggersEvent) { - self[p.triggerFnName](p.settingEvent); - } - - // .data(function(){ ... }) - } else if (p.allowBinding && fn$6(name)) { - // bind to event - var fn = name; - self.on(p.bindingEvent, fn); - - // .data() - } else if (p.allowGetting && name === undefined) { - // get whole object - var _ret; - if (single) { - p.beforeGet(single); - _ret = single._private[p.field]; - } - return _ret; - } - return self; // maintain chainability - }; // function - }, - - // data - - // remove data field - removeData: function removeData(params) { - var defaults = { - field: 'data', - event: 'data', - triggerFnName: 'trigger', - triggerEvent: false, - immutableKeys: {} // key => true if immutable - }; - - params = extend({}, defaults, params); - return function removeDataImpl(names) { - var p = params; - var self = this; - var selfIsArrayLike = self.length !== undefined; - var all = selfIsArrayLike ? self : [self]; // put in array if not array-like - - // .removeData('foo bar') - if (string(names)) { - // then get the list of keys, and delete them - var keys = names.split(/\s+/); - var l = keys.length; - for (var i = 0; i < l; i++) { - // delete each non-empty key - var key = keys[i]; - if (emptyString(key)) { - continue; - } - var valid = !p.immutableKeys[key]; // not valid if immutable - if (valid) { - for (var i_a = 0, l_a = all.length; i_a < l_a; i_a++) { - all[i_a]._private[p.field][key] = undefined; - } - } - } - if (p.triggerEvent) { - self[p.triggerFnName](p.event); - } - - // .removeData() - } else if (names === undefined) { - // then delete all keys - - for (var _i_a = 0, _l_a = all.length; _i_a < _l_a; _i_a++) { - var _privateFields = all[_i_a]._private[p.field]; - var _keys = Object.keys(_privateFields); - for (var _i2 = 0; _i2 < _keys.length; _i2++) { - var _key = _keys[_i2]; - var validKeyToDelete = !p.immutableKeys[_key]; - if (validKeyToDelete) { - _privateFields[_key] = undefined; - } - } - } - if (p.triggerEvent) { - self[p.triggerFnName](p.event); - } - } - return self; // maintain chaining - }; // function - } // removeData - }; // define - - var define$1 = { - eventAliasesOn: function eventAliasesOn(proto) { - var p = proto; - p.addListener = p.listen = p.bind = p.on; - p.unlisten = p.unbind = p.off = p.removeListener; - p.trigger = p.emit; - - // this is just a wrapper alias of .on() - p.pon = p.promiseOn = function (events, selector) { - var self = this; - var args = Array.prototype.slice.call(arguments, 0); - return new Promise$1(function (resolve, reject) { - var callback = function callback(e) { - self.off.apply(self, offArgs); - resolve(e); - }; - var onArgs = args.concat([callback]); - var offArgs = onArgs.concat([]); - self.on.apply(self, onArgs); - }); - }; - } - }; // define - - // use this module to cherry pick functions into your prototype - var define = {}; - [define$3, define$2, define$1].forEach(function (m) { - extend(define, m); - }); - - var elesfn$i = { - animate: define.animate(), - animation: define.animation(), - animated: define.animated(), - clearQueue: define.clearQueue(), - delay: define.delay(), - delayAnimation: define.delayAnimation(), - stop: define.stop() - }; - - var elesfn$h = { - classes: function classes(_classes) { - var self = this; - if (_classes === undefined) { - var ret = []; - self[0]._private.classes.forEach(function (cls) { - return ret.push(cls); - }); - return ret; - } else if (!array(_classes)) { - // extract classes from string - _classes = (_classes || '').match(/\S+/g) || []; - } - var changed = []; - var classesSet = new Set$1(_classes); - - // check and update each ele - for (var j = 0; j < self.length; j++) { - var ele = self[j]; - var _p = ele._private; - var eleClasses = _p.classes; - var changedEle = false; - - // check if ele has all of the passed classes - for (var i = 0; i < _classes.length; i++) { - var cls = _classes[i]; - var eleHasClass = eleClasses.has(cls); - if (!eleHasClass) { - changedEle = true; - break; - } - } - - // check if ele has classes outside of those passed - if (!changedEle) { - changedEle = eleClasses.size !== _classes.length; - } - if (changedEle) { - _p.classes = classesSet; - changed.push(ele); - } - } - - // trigger update style on those eles that had class changes - if (changed.length > 0) { - this.spawn(changed).updateStyle().emit('class'); - } - return self; - }, - addClass: function addClass(classes) { - return this.toggleClass(classes, true); - }, - hasClass: function hasClass(className) { - var ele = this[0]; - return ele != null && ele._private.classes.has(className); - }, - toggleClass: function toggleClass(classes, toggle) { - if (!array(classes)) { - // extract classes from string - classes = classes.match(/\S+/g) || []; - } - var self = this; - var toggleUndefd = toggle === undefined; - var changed = []; // eles who had classes changed - - for (var i = 0, il = self.length; i < il; i++) { - var ele = self[i]; - var eleClasses = ele._private.classes; - var changedEle = false; - for (var j = 0; j < classes.length; j++) { - var cls = classes[j]; - var hasClass = eleClasses.has(cls); - var changedNow = false; - if (toggle || toggleUndefd && !hasClass) { - eleClasses.add(cls); - changedNow = true; - } else if (!toggle || toggleUndefd && hasClass) { - eleClasses["delete"](cls); - changedNow = true; - } - if (!changedEle && changedNow) { - changed.push(ele); - changedEle = true; - } - } // for j classes - } // for i eles - - // trigger update style on those eles that had class changes - if (changed.length > 0) { - this.spawn(changed).updateStyle().emit('class'); - } - return self; - }, - removeClass: function removeClass(classes) { - return this.toggleClass(classes, false); - }, - flashClass: function flashClass(classes, duration) { - var self = this; - if (duration == null) { - duration = 250; - } else if (duration === 0) { - return self; // nothing to do really - } - - self.addClass(classes); - setTimeout(function () { - self.removeClass(classes); - }, duration); - return self; - } - }; - elesfn$h.className = elesfn$h.classNames = elesfn$h.classes; - - // tokens in the query language - var tokens = { - metaChar: '[\\!\\"\\#\\$\\%\\&\\\'\\(\\)\\*\\+\\,\\.\\/\\:\\;\\<\\=\\>\\?\\@\\[\\]\\^\\`\\{\\|\\}\\~]', - // chars we need to escape in let names, etc - comparatorOp: '=|\\!=|>|>=|<|<=|\\$=|\\^=|\\*=', - // binary comparison op (used in data selectors) - boolOp: '\\?|\\!|\\^', - // boolean (unary) operators (used in data selectors) - string: '"(?:\\\\"|[^"])*"' + '|' + "'(?:\\\\'|[^'])*'", - // string literals (used in data selectors) -- doublequotes | singlequotes - number: number, - // number literal (used in data selectors) --- e.g. 0.1234, 1234, 12e123 - meta: 'degree|indegree|outdegree', - // allowed metadata fields (i.e. allowed functions to use from Collection) - separator: '\\s*,\\s*', - // queries are separated by commas, e.g. edge[foo = 'bar'], node.someClass - descendant: '\\s+', - child: '\\s+>\\s+', - subject: '\\$', - group: 'node|edge|\\*', - directedEdge: '\\s+->\\s+', - undirectedEdge: '\\s+<->\\s+' - }; - tokens.variable = '(?:[\\w-.]|(?:\\\\' + tokens.metaChar + '))+'; // a variable name can have letters, numbers, dashes, and periods - tokens.className = '(?:[\\w-]|(?:\\\\' + tokens.metaChar + '))+'; // a class name has the same rules as a variable except it can't have a '.' in the name - tokens.value = tokens.string + '|' + tokens.number; // a value literal, either a string or number - tokens.id = tokens.variable; // an element id (follows variable conventions) - - (function () { - var ops, op, i; - - // add @ variants to comparatorOp - ops = tokens.comparatorOp.split('|'); - for (i = 0; i < ops.length; i++) { - op = ops[i]; - tokens.comparatorOp += '|@' + op; - } - - // add ! variants to comparatorOp - ops = tokens.comparatorOp.split('|'); - for (i = 0; i < ops.length; i++) { - op = ops[i]; - if (op.indexOf('!') >= 0) { - continue; - } // skip ops that explicitly contain ! - if (op === '=') { - continue; - } // skip = b/c != is explicitly defined - - tokens.comparatorOp += '|\\!' + op; - } - })(); - - /** - * Make a new query object - * - * @prop type {Type} The type enum (int) of the query - * @prop checks List of checks to make against an ele to test for a match - */ - var newQuery = function newQuery() { - return { - checks: [] - }; - }; - - /** - * A check type enum-like object. Uses integer values for fast match() lookup. - * The ordering does not matter as long as the ints are unique. - */ - var Type = { - /** E.g. node */ - GROUP: 0, - /** A collection of elements */ - COLLECTION: 1, - /** A filter(ele) function */ - FILTER: 2, - /** E.g. [foo > 1] */ - DATA_COMPARE: 3, - /** E.g. [foo] */ - DATA_EXIST: 4, - /** E.g. [?foo] */ - DATA_BOOL: 5, - /** E.g. [[degree > 2]] */ - META_COMPARE: 6, - /** E.g. :selected */ - STATE: 7, - /** E.g. #foo */ - ID: 8, - /** E.g. .foo */ - CLASS: 9, - /** E.g. #foo <-> #bar */ - UNDIRECTED_EDGE: 10, - /** E.g. #foo -> #bar */ - DIRECTED_EDGE: 11, - /** E.g. $#foo -> #bar */ - NODE_SOURCE: 12, - /** E.g. #foo -> $#bar */ - NODE_TARGET: 13, - /** E.g. $#foo <-> #bar */ - NODE_NEIGHBOR: 14, - /** E.g. #foo > #bar */ - CHILD: 15, - /** E.g. #foo #bar */ - DESCENDANT: 16, - /** E.g. $#foo > #bar */ - PARENT: 17, - /** E.g. $#foo #bar */ - ANCESTOR: 18, - /** E.g. #foo > $bar > #baz */ - COMPOUND_SPLIT: 19, - /** Always matches, useful placeholder for subject in `COMPOUND_SPLIT` */ - TRUE: 20 - }; - - var stateSelectors = [{ - selector: ':selected', - matches: function matches(ele) { - return ele.selected(); - } - }, { - selector: ':unselected', - matches: function matches(ele) { - return !ele.selected(); - } - }, { - selector: ':selectable', - matches: function matches(ele) { - return ele.selectable(); - } - }, { - selector: ':unselectable', - matches: function matches(ele) { - return !ele.selectable(); - } - }, { - selector: ':locked', - matches: function matches(ele) { - return ele.locked(); - } - }, { - selector: ':unlocked', - matches: function matches(ele) { - return !ele.locked(); - } - }, { - selector: ':visible', - matches: function matches(ele) { - return ele.visible(); - } - }, { - selector: ':hidden', - matches: function matches(ele) { - return !ele.visible(); - } - }, { - selector: ':transparent', - matches: function matches(ele) { - return ele.transparent(); - } - }, { - selector: ':grabbed', - matches: function matches(ele) { - return ele.grabbed(); - } - }, { - selector: ':free', - matches: function matches(ele) { - return !ele.grabbed(); - } - }, { - selector: ':removed', - matches: function matches(ele) { - return ele.removed(); - } - }, { - selector: ':inside', - matches: function matches(ele) { - return !ele.removed(); - } - }, { - selector: ':grabbable', - matches: function matches(ele) { - return ele.grabbable(); - } - }, { - selector: ':ungrabbable', - matches: function matches(ele) { - return !ele.grabbable(); - } - }, { - selector: ':animated', - matches: function matches(ele) { - return ele.animated(); - } - }, { - selector: ':unanimated', - matches: function matches(ele) { - return !ele.animated(); - } - }, { - selector: ':parent', - matches: function matches(ele) { - return ele.isParent(); - } - }, { - selector: ':childless', - matches: function matches(ele) { - return ele.isChildless(); - } - }, { - selector: ':child', - matches: function matches(ele) { - return ele.isChild(); - } - }, { - selector: ':orphan', - matches: function matches(ele) { - return ele.isOrphan(); - } - }, { - selector: ':nonorphan', - matches: function matches(ele) { - return ele.isChild(); - } - }, { - selector: ':compound', - matches: function matches(ele) { - if (ele.isNode()) { - return ele.isParent(); - } else { - return ele.source().isParent() || ele.target().isParent(); - } - } - }, { - selector: ':loop', - matches: function matches(ele) { - return ele.isLoop(); - } - }, { - selector: ':simple', - matches: function matches(ele) { - return ele.isSimple(); - } - }, { - selector: ':active', - matches: function matches(ele) { - return ele.active(); - } - }, { - selector: ':inactive', - matches: function matches(ele) { - return !ele.active(); - } - }, { - selector: ':backgrounding', - matches: function matches(ele) { - return ele.backgrounding(); - } - }, { - selector: ':nonbackgrounding', - matches: function matches(ele) { - return !ele.backgrounding(); - } - }].sort(function (a, b) { - // n.b. selectors that are starting substrings of others must have the longer ones first - return descending(a.selector, b.selector); - }); - var lookup = function () { - var selToFn = {}; - var s; - for (var i = 0; i < stateSelectors.length; i++) { - s = stateSelectors[i]; - selToFn[s.selector] = s.matches; - } - return selToFn; - }(); - var stateSelectorMatches = function stateSelectorMatches(sel, ele) { - return lookup[sel](ele); - }; - var stateSelectorRegex = '(' + stateSelectors.map(function (s) { - return s.selector; - }).join('|') + ')'; - - // when a token like a variable has escaped meta characters, we need to clean the backslashes out - // so that values get compared properly in Selector.filter() - var cleanMetaChars = function cleanMetaChars(str) { - return str.replace(new RegExp('\\\\(' + tokens.metaChar + ')', 'g'), function (match, $1) { - return $1; - }); - }; - var replaceLastQuery = function replaceLastQuery(selector, examiningQuery, replacementQuery) { - selector[selector.length - 1] = replacementQuery; - }; - - // NOTE: add new expression syntax here to have it recognised by the parser; - // - a query contains all adjacent (i.e. no separator in between) expressions; - // - the current query is stored in selector[i] - // - you need to check the query objects in match() for it actually filter properly, but that's pretty straight forward - var exprs = [{ - name: 'group', - // just used for identifying when debugging - query: true, - regex: '(' + tokens.group + ')', - populate: function populate(selector, query, _ref) { - var _ref2 = _slicedToArray(_ref, 1), - group = _ref2[0]; - query.checks.push({ - type: Type.GROUP, - value: group === '*' ? group : group + 's' - }); - } - }, { - name: 'state', - query: true, - regex: stateSelectorRegex, - populate: function populate(selector, query, _ref3) { - var _ref4 = _slicedToArray(_ref3, 1), - state = _ref4[0]; - query.checks.push({ - type: Type.STATE, - value: state - }); - } - }, { - name: 'id', - query: true, - regex: '\\#(' + tokens.id + ')', - populate: function populate(selector, query, _ref5) { - var _ref6 = _slicedToArray(_ref5, 1), - id = _ref6[0]; - query.checks.push({ - type: Type.ID, - value: cleanMetaChars(id) - }); - } - }, { - name: 'className', - query: true, - regex: '\\.(' + tokens.className + ')', - populate: function populate(selector, query, _ref7) { - var _ref8 = _slicedToArray(_ref7, 1), - className = _ref8[0]; - query.checks.push({ - type: Type.CLASS, - value: cleanMetaChars(className) - }); - } - }, { - name: 'dataExists', - query: true, - regex: '\\[\\s*(' + tokens.variable + ')\\s*\\]', - populate: function populate(selector, query, _ref9) { - var _ref10 = _slicedToArray(_ref9, 1), - variable = _ref10[0]; - query.checks.push({ - type: Type.DATA_EXIST, - field: cleanMetaChars(variable) - }); - } - }, { - name: 'dataCompare', - query: true, - regex: '\\[\\s*(' + tokens.variable + ')\\s*(' + tokens.comparatorOp + ')\\s*(' + tokens.value + ')\\s*\\]', - populate: function populate(selector, query, _ref11) { - var _ref12 = _slicedToArray(_ref11, 3), - variable = _ref12[0], - comparatorOp = _ref12[1], - value = _ref12[2]; - var valueIsString = new RegExp('^' + tokens.string + '$').exec(value) != null; - if (valueIsString) { - value = value.substring(1, value.length - 1); - } else { - value = parseFloat(value); - } - query.checks.push({ - type: Type.DATA_COMPARE, - field: cleanMetaChars(variable), - operator: comparatorOp, - value: value - }); - } - }, { - name: 'dataBool', - query: true, - regex: '\\[\\s*(' + tokens.boolOp + ')\\s*(' + tokens.variable + ')\\s*\\]', - populate: function populate(selector, query, _ref13) { - var _ref14 = _slicedToArray(_ref13, 2), - boolOp = _ref14[0], - variable = _ref14[1]; - query.checks.push({ - type: Type.DATA_BOOL, - field: cleanMetaChars(variable), - operator: boolOp - }); - } - }, { - name: 'metaCompare', - query: true, - regex: '\\[\\[\\s*(' + tokens.meta + ')\\s*(' + tokens.comparatorOp + ')\\s*(' + tokens.number + ')\\s*\\]\\]', - populate: function populate(selector, query, _ref15) { - var _ref16 = _slicedToArray(_ref15, 3), - meta = _ref16[0], - comparatorOp = _ref16[1], - number = _ref16[2]; - query.checks.push({ - type: Type.META_COMPARE, - field: cleanMetaChars(meta), - operator: comparatorOp, - value: parseFloat(number) - }); - } - }, { - name: 'nextQuery', - separator: true, - regex: tokens.separator, - populate: function populate(selector, query) { - var currentSubject = selector.currentSubject; - var edgeCount = selector.edgeCount; - var compoundCount = selector.compoundCount; - var lastQ = selector[selector.length - 1]; - if (currentSubject != null) { - lastQ.subject = currentSubject; - selector.currentSubject = null; - } - lastQ.edgeCount = edgeCount; - lastQ.compoundCount = compoundCount; - selector.edgeCount = 0; - selector.compoundCount = 0; - - // go on to next query - var nextQuery = selector[selector.length++] = newQuery(); - return nextQuery; // this is the new query to be filled by the following exprs - } - }, { - name: 'directedEdge', - separator: true, - regex: tokens.directedEdge, - populate: function populate(selector, query) { - if (selector.currentSubject == null) { - // undirected edge - var edgeQuery = newQuery(); - var source = query; - var target = newQuery(); - edgeQuery.checks.push({ - type: Type.DIRECTED_EDGE, - source: source, - target: target - }); - - // the query in the selector should be the edge rather than the source - replaceLastQuery(selector, query, edgeQuery); - selector.edgeCount++; - - // we're now populating the target query with expressions that follow - return target; - } else { - // source/target - var srcTgtQ = newQuery(); - var _source = query; - var _target = newQuery(); - srcTgtQ.checks.push({ - type: Type.NODE_SOURCE, - source: _source, - target: _target - }); - - // the query in the selector should be the neighbourhood rather than the node - replaceLastQuery(selector, query, srcTgtQ); - selector.edgeCount++; - return _target; // now populating the target with the following expressions - } - } - }, { - name: 'undirectedEdge', - separator: true, - regex: tokens.undirectedEdge, - populate: function populate(selector, query) { - if (selector.currentSubject == null) { - // undirected edge - var edgeQuery = newQuery(); - var source = query; - var target = newQuery(); - edgeQuery.checks.push({ - type: Type.UNDIRECTED_EDGE, - nodes: [source, target] - }); - - // the query in the selector should be the edge rather than the source - replaceLastQuery(selector, query, edgeQuery); - selector.edgeCount++; - - // we're now populating the target query with expressions that follow - return target; - } else { - // neighbourhood - var nhoodQ = newQuery(); - var node = query; - var neighbor = newQuery(); - nhoodQ.checks.push({ - type: Type.NODE_NEIGHBOR, - node: node, - neighbor: neighbor - }); - - // the query in the selector should be the neighbourhood rather than the node - replaceLastQuery(selector, query, nhoodQ); - return neighbor; // now populating the neighbor with following expressions - } - } - }, { - name: 'child', - separator: true, - regex: tokens.child, - populate: function populate(selector, query) { - if (selector.currentSubject == null) { - // default: child query - var parentChildQuery = newQuery(); - var child = newQuery(); - var parent = selector[selector.length - 1]; - parentChildQuery.checks.push({ - type: Type.CHILD, - parent: parent, - child: child - }); - - // the query in the selector should be the '>' itself - replaceLastQuery(selector, query, parentChildQuery); - selector.compoundCount++; - - // we're now populating the child query with expressions that follow - return child; - } else if (selector.currentSubject === query) { - // compound split query - var compound = newQuery(); - var left = selector[selector.length - 1]; - var right = newQuery(); - var subject = newQuery(); - var _child = newQuery(); - var _parent = newQuery(); - - // set up the root compound q - compound.checks.push({ - type: Type.COMPOUND_SPLIT, - left: left, - right: right, - subject: subject - }); - - // populate the subject and replace the q at the old spot (within left) with TRUE - subject.checks = query.checks; // take the checks from the left - query.checks = [{ - type: Type.TRUE - }]; // checks under left refs the subject implicitly - - // set up the right q - _parent.checks.push({ - type: Type.TRUE - }); // parent implicitly refs the subject - right.checks.push({ - type: Type.PARENT, - // type is swapped on right side queries - parent: _parent, - child: _child // empty for now - }); - - replaceLastQuery(selector, left, compound); - - // update the ref since we moved things around for `query` - selector.currentSubject = subject; - selector.compoundCount++; - return _child; // now populating the right side's child - } else { - // parent query - // info for parent query - var _parent2 = newQuery(); - var _child2 = newQuery(); - var pcQChecks = [{ - type: Type.PARENT, - parent: _parent2, - child: _child2 - }]; - - // the parent-child query takes the place of the query previously being populated - _parent2.checks = query.checks; // the previous query contains the checks for the parent - query.checks = pcQChecks; // pc query takes over - - selector.compoundCount++; - return _child2; // we're now populating the child - } - } - }, { - name: 'descendant', - separator: true, - regex: tokens.descendant, - populate: function populate(selector, query) { - if (selector.currentSubject == null) { - // default: descendant query - var ancChQuery = newQuery(); - var descendant = newQuery(); - var ancestor = selector[selector.length - 1]; - ancChQuery.checks.push({ - type: Type.DESCENDANT, - ancestor: ancestor, - descendant: descendant - }); - - // the query in the selector should be the '>' itself - replaceLastQuery(selector, query, ancChQuery); - selector.compoundCount++; - - // we're now populating the descendant query with expressions that follow - return descendant; - } else if (selector.currentSubject === query) { - // compound split query - var compound = newQuery(); - var left = selector[selector.length - 1]; - var right = newQuery(); - var subject = newQuery(); - var _descendant = newQuery(); - var _ancestor = newQuery(); - - // set up the root compound q - compound.checks.push({ - type: Type.COMPOUND_SPLIT, - left: left, - right: right, - subject: subject - }); - - // populate the subject and replace the q at the old spot (within left) with TRUE - subject.checks = query.checks; // take the checks from the left - query.checks = [{ - type: Type.TRUE - }]; // checks under left refs the subject implicitly - - // set up the right q - _ancestor.checks.push({ - type: Type.TRUE - }); // ancestor implicitly refs the subject - right.checks.push({ - type: Type.ANCESTOR, - // type is swapped on right side queries - ancestor: _ancestor, - descendant: _descendant // empty for now - }); - - replaceLastQuery(selector, left, compound); - - // update the ref since we moved things around for `query` - selector.currentSubject = subject; - selector.compoundCount++; - return _descendant; // now populating the right side's descendant - } else { - // ancestor query - // info for parent query - var _ancestor2 = newQuery(); - var _descendant2 = newQuery(); - var adQChecks = [{ - type: Type.ANCESTOR, - ancestor: _ancestor2, - descendant: _descendant2 - }]; - - // the parent-child query takes the place of the query previously being populated - _ancestor2.checks = query.checks; // the previous query contains the checks for the parent - query.checks = adQChecks; // pc query takes over - - selector.compoundCount++; - return _descendant2; // we're now populating the child - } - } - }, { - name: 'subject', - modifier: true, - regex: tokens.subject, - populate: function populate(selector, query) { - if (selector.currentSubject != null && selector.currentSubject !== query) { - warn('Redefinition of subject in selector `' + selector.toString() + '`'); - return false; - } - selector.currentSubject = query; - var topQ = selector[selector.length - 1]; - var topChk = topQ.checks[0]; - var topType = topChk == null ? null : topChk.type; - if (topType === Type.DIRECTED_EDGE) { - // directed edge with subject on the target - - // change to target node check - topChk.type = Type.NODE_TARGET; - } else if (topType === Type.UNDIRECTED_EDGE) { - // undirected edge with subject on the second node - - // change to neighbor check - topChk.type = Type.NODE_NEIGHBOR; - topChk.node = topChk.nodes[1]; // second node is subject - topChk.neighbor = topChk.nodes[0]; - - // clean up unused fields for new type - topChk.nodes = null; - } - } - }]; - exprs.forEach(function (e) { - return e.regexObj = new RegExp('^' + e.regex); - }); - - /** - * Of all the expressions, find the first match in the remaining text. - * @param {string} remaining The remaining text to parse - * @returns The matched expression and the newly remaining text `{ expr, match, name, remaining }` - */ - var consumeExpr = function consumeExpr(remaining) { - var expr; - var match; - var name; - for (var j = 0; j < exprs.length; j++) { - var e = exprs[j]; - var n = e.name; - var m = remaining.match(e.regexObj); - if (m != null) { - match = m; - expr = e; - name = n; - var consumed = m[0]; - remaining = remaining.substring(consumed.length); - break; // we've consumed one expr, so we can return now - } - } - - return { - expr: expr, - match: match, - name: name, - remaining: remaining - }; - }; - - /** - * Consume all the leading whitespace - * @param {string} remaining The text to consume - * @returns The text with the leading whitespace removed - */ - var consumeWhitespace = function consumeWhitespace(remaining) { - var match = remaining.match(/^\s+/); - if (match) { - var consumed = match[0]; - remaining = remaining.substring(consumed.length); - } - return remaining; - }; - - /** - * Parse the string and store the parsed representation in the Selector. - * @param {string} selector The selector string - * @returns `true` if the selector was successfully parsed, `false` otherwise - */ - var parse = function parse(selector) { - var self = this; - var remaining = self.inputText = selector; - var currentQuery = self[0] = newQuery(); - self.length = 1; - remaining = consumeWhitespace(remaining); // get rid of leading whitespace - - for (;;) { - var exprInfo = consumeExpr(remaining); - if (exprInfo.expr == null) { - warn('The selector `' + selector + '`is invalid'); - return false; - } else { - var args = exprInfo.match.slice(1); - - // let the token populate the selector object in currentQuery - var ret = exprInfo.expr.populate(self, currentQuery, args); - if (ret === false) { - return false; // exit if population failed - } else if (ret != null) { - currentQuery = ret; // change the current query to be filled if the expr specifies - } - } - - remaining = exprInfo.remaining; - - // we're done when there's nothing left to parse - if (remaining.match(/^\s*$/)) { - break; - } - } - var lastQ = self[self.length - 1]; - if (self.currentSubject != null) { - lastQ.subject = self.currentSubject; - } - lastQ.edgeCount = self.edgeCount; - lastQ.compoundCount = self.compoundCount; - for (var i = 0; i < self.length; i++) { - var q = self[i]; - - // in future, this could potentially be allowed if there were operator precedence and detection of invalid combinations - if (q.compoundCount > 0 && q.edgeCount > 0) { - warn('The selector `' + selector + '` is invalid because it uses both a compound selector and an edge selector'); - return false; - } - if (q.edgeCount > 1) { - warn('The selector `' + selector + '` is invalid because it uses multiple edge selectors'); - return false; - } else if (q.edgeCount === 1) { - warn('The selector `' + selector + '` is deprecated. Edge selectors do not take effect on changes to source and target nodes after an edge is added, for performance reasons. Use a class or data selector on edges instead, updating the class or data of an edge when your app detects a change in source or target nodes.'); - } - } - return true; // success - }; - - /** - * Get the selector represented as a string. This value uses default formatting, - * so things like spacing may differ from the input text passed to the constructor. - * @returns {string} The selector string - */ - var toString = function toString() { - if (this.toStringCache != null) { - return this.toStringCache; - } - var clean = function clean(obj) { - if (obj == null) { - return ''; - } else { - return obj; - } - }; - var cleanVal = function cleanVal(val) { - if (string(val)) { - return '"' + val + '"'; - } else { - return clean(val); - } - }; - var space = function space(val) { - return ' ' + val + ' '; - }; - var checkToString = function checkToString(check, subject) { - var type = check.type, - value = check.value; - switch (type) { - case Type.GROUP: - { - var group = clean(value); - return group.substring(0, group.length - 1); - } - case Type.DATA_COMPARE: - { - var field = check.field, - operator = check.operator; - return '[' + field + space(clean(operator)) + cleanVal(value) + ']'; - } - case Type.DATA_BOOL: - { - var _operator = check.operator, - _field = check.field; - return '[' + clean(_operator) + _field + ']'; - } - case Type.DATA_EXIST: - { - var _field2 = check.field; - return '[' + _field2 + ']'; - } - case Type.META_COMPARE: - { - var _operator2 = check.operator, - _field3 = check.field; - return '[[' + _field3 + space(clean(_operator2)) + cleanVal(value) + ']]'; - } - case Type.STATE: - { - return value; - } - case Type.ID: - { - return '#' + value; - } - case Type.CLASS: - { - return '.' + value; - } - case Type.PARENT: - case Type.CHILD: - { - return queryToString(check.parent, subject) + space('>') + queryToString(check.child, subject); - } - case Type.ANCESTOR: - case Type.DESCENDANT: - { - return queryToString(check.ancestor, subject) + ' ' + queryToString(check.descendant, subject); - } - case Type.COMPOUND_SPLIT: - { - var lhs = queryToString(check.left, subject); - var sub = queryToString(check.subject, subject); - var rhs = queryToString(check.right, subject); - return lhs + (lhs.length > 0 ? ' ' : '') + sub + rhs; - } - case Type.TRUE: - { - return ''; - } - } - }; - var queryToString = function queryToString(query, subject) { - return query.checks.reduce(function (str, chk, i) { - return str + (subject === query && i === 0 ? '$' : '') + checkToString(chk, subject); - }, ''); - }; - var str = ''; - for (var i = 0; i < this.length; i++) { - var query = this[i]; - str += queryToString(query, query.subject); - if (this.length > 1 && i < this.length - 1) { - str += ', '; - } - } - this.toStringCache = str; - return str; - }; - var parse$1 = { - parse: parse, - toString: toString - }; - - var valCmp = function valCmp(fieldVal, operator, value) { - var matches; - var isFieldStr = string(fieldVal); - var isFieldNum = number$1(fieldVal); - var isValStr = string(value); - var fieldStr, valStr; - var caseInsensitive = false; - var notExpr = false; - var isIneqCmp = false; - if (operator.indexOf('!') >= 0) { - operator = operator.replace('!', ''); - notExpr = true; - } - if (operator.indexOf('@') >= 0) { - operator = operator.replace('@', ''); - caseInsensitive = true; - } - if (isFieldStr || isValStr || caseInsensitive) { - fieldStr = !isFieldStr && !isFieldNum ? '' : '' + fieldVal; - valStr = '' + value; - } - - // if we're doing a case insensitive comparison, then we're using a STRING comparison - // even if we're comparing numbers - if (caseInsensitive) { - fieldVal = fieldStr = fieldStr.toLowerCase(); - value = valStr = valStr.toLowerCase(); - } - switch (operator) { - case '*=': - matches = fieldStr.indexOf(valStr) >= 0; - break; - case '$=': - matches = fieldStr.indexOf(valStr, fieldStr.length - valStr.length) >= 0; - break; - case '^=': - matches = fieldStr.indexOf(valStr) === 0; - break; - case '=': - matches = fieldVal === value; - break; - case '>': - isIneqCmp = true; - matches = fieldVal > value; - break; - case '>=': - isIneqCmp = true; - matches = fieldVal >= value; - break; - case '<': - isIneqCmp = true; - matches = fieldVal < value; - break; - case '<=': - isIneqCmp = true; - matches = fieldVal <= value; - break; - default: - matches = false; - break; - } - - // apply the not op, but null vals for inequalities should always stay non-matching - if (notExpr && (fieldVal != null || !isIneqCmp)) { - matches = !matches; - } - return matches; - }; - var boolCmp = function boolCmp(fieldVal, operator) { - switch (operator) { - case '?': - return fieldVal ? true : false; - case '!': - return fieldVal ? false : true; - case '^': - return fieldVal === undefined; - } - }; - var existCmp = function existCmp(fieldVal) { - return fieldVal !== undefined; - }; - var data$1 = function data(ele, field) { - return ele.data(field); - }; - var meta = function meta(ele, field) { - return ele[field](); - }; - - /** A lookup of `match(check, ele)` functions by `Type` int */ - var match = []; - - /** - * Returns whether the query matches for the element - * @param query The `{ type, value, ... }` query object - * @param ele The element to compare against - */ - var matches$1 = function matches(query, ele) { - return query.checks.every(function (chk) { - return match[chk.type](chk, ele); - }); - }; - match[Type.GROUP] = function (check, ele) { - var group = check.value; - return group === '*' || group === ele.group(); - }; - match[Type.STATE] = function (check, ele) { - var stateSelector = check.value; - return stateSelectorMatches(stateSelector, ele); - }; - match[Type.ID] = function (check, ele) { - var id = check.value; - return ele.id() === id; - }; - match[Type.CLASS] = function (check, ele) { - var cls = check.value; - return ele.hasClass(cls); - }; - match[Type.META_COMPARE] = function (check, ele) { - var field = check.field, - operator = check.operator, - value = check.value; - return valCmp(meta(ele, field), operator, value); - }; - match[Type.DATA_COMPARE] = function (check, ele) { - var field = check.field, - operator = check.operator, - value = check.value; - return valCmp(data$1(ele, field), operator, value); - }; - match[Type.DATA_BOOL] = function (check, ele) { - var field = check.field, - operator = check.operator; - return boolCmp(data$1(ele, field), operator); - }; - match[Type.DATA_EXIST] = function (check, ele) { - var field = check.field; - check.operator; - return existCmp(data$1(ele, field)); - }; - match[Type.UNDIRECTED_EDGE] = function (check, ele) { - var qA = check.nodes[0]; - var qB = check.nodes[1]; - var src = ele.source(); - var tgt = ele.target(); - return matches$1(qA, src) && matches$1(qB, tgt) || matches$1(qB, src) && matches$1(qA, tgt); - }; - match[Type.NODE_NEIGHBOR] = function (check, ele) { - return matches$1(check.node, ele) && ele.neighborhood().some(function (n) { - return n.isNode() && matches$1(check.neighbor, n); - }); - }; - match[Type.DIRECTED_EDGE] = function (check, ele) { - return matches$1(check.source, ele.source()) && matches$1(check.target, ele.target()); - }; - match[Type.NODE_SOURCE] = function (check, ele) { - return matches$1(check.source, ele) && ele.outgoers().some(function (n) { - return n.isNode() && matches$1(check.target, n); - }); - }; - match[Type.NODE_TARGET] = function (check, ele) { - return matches$1(check.target, ele) && ele.incomers().some(function (n) { - return n.isNode() && matches$1(check.source, n); - }); - }; - match[Type.CHILD] = function (check, ele) { - return matches$1(check.child, ele) && matches$1(check.parent, ele.parent()); - }; - match[Type.PARENT] = function (check, ele) { - return matches$1(check.parent, ele) && ele.children().some(function (c) { - return matches$1(check.child, c); - }); - }; - match[Type.DESCENDANT] = function (check, ele) { - return matches$1(check.descendant, ele) && ele.ancestors().some(function (a) { - return matches$1(check.ancestor, a); - }); - }; - match[Type.ANCESTOR] = function (check, ele) { - return matches$1(check.ancestor, ele) && ele.descendants().some(function (d) { - return matches$1(check.descendant, d); - }); - }; - match[Type.COMPOUND_SPLIT] = function (check, ele) { - return matches$1(check.subject, ele) && matches$1(check.left, ele) && matches$1(check.right, ele); - }; - match[Type.TRUE] = function () { - return true; - }; - match[Type.COLLECTION] = function (check, ele) { - var collection = check.value; - return collection.has(ele); - }; - match[Type.FILTER] = function (check, ele) { - var filter = check.value; - return filter(ele); - }; - - // filter an existing collection - var filter = function filter(collection) { - var self = this; - - // for 1 id #foo queries, just get the element - if (self.length === 1 && self[0].checks.length === 1 && self[0].checks[0].type === Type.ID) { - return collection.getElementById(self[0].checks[0].value).collection(); - } - var selectorFunction = function selectorFunction(element) { - for (var j = 0; j < self.length; j++) { - var query = self[j]; - if (matches$1(query, element)) { - return true; - } - } - return false; - }; - if (self.text() == null) { - selectorFunction = function selectorFunction() { - return true; - }; - } - return collection.filter(selectorFunction); - }; // filter - - // does selector match a single element? - var matches = function matches(ele) { - var self = this; - for (var j = 0; j < self.length; j++) { - var query = self[j]; - if (matches$1(query, ele)) { - return true; - } - } - return false; - }; // matches - - var matching = { - matches: matches, - filter: filter - }; - - var Selector = function Selector(selector) { - this.inputText = selector; - this.currentSubject = null; - this.compoundCount = 0; - this.edgeCount = 0; - this.length = 0; - if (selector == null || string(selector) && selector.match(/^\s*$/)) ; else if (elementOrCollection(selector)) { - this.addQuery({ - checks: [{ - type: Type.COLLECTION, - value: selector.collection() - }] - }); - } else if (fn$6(selector)) { - this.addQuery({ - checks: [{ - type: Type.FILTER, - value: selector - }] - }); - } else if (string(selector)) { - if (!this.parse(selector)) { - this.invalid = true; - } - } else { - error('A selector must be created from a string; found '); - } - }; - var selfn = Selector.prototype; - [parse$1, matching].forEach(function (p) { - return extend(selfn, p); - }); - selfn.text = function () { - return this.inputText; - }; - selfn.size = function () { - return this.length; - }; - selfn.eq = function (i) { - return this[i]; - }; - selfn.sameText = function (otherSel) { - return !this.invalid && !otherSel.invalid && this.text() === otherSel.text(); - }; - selfn.addQuery = function (q) { - this[this.length++] = q; - }; - selfn.selector = selfn.toString; - - var elesfn$g = { - allAre: function allAre(selector) { - var selObj = new Selector(selector); - return this.every(function (ele) { - return selObj.matches(ele); - }); - }, - is: function is(selector) { - var selObj = new Selector(selector); - return this.some(function (ele) { - return selObj.matches(ele); - }); - }, - some: function some(fn, thisArg) { - for (var i = 0; i < this.length; i++) { - var ret = !thisArg ? fn(this[i], i, this) : fn.apply(thisArg, [this[i], i, this]); - if (ret) { - return true; - } - } - return false; - }, - every: function every(fn, thisArg) { - for (var i = 0; i < this.length; i++) { - var ret = !thisArg ? fn(this[i], i, this) : fn.apply(thisArg, [this[i], i, this]); - if (!ret) { - return false; - } - } - return true; - }, - same: function same(collection) { - // cheap collection ref check - if (this === collection) { - return true; - } - collection = this.cy().collection(collection); - var thisLength = this.length; - var collectionLength = collection.length; - - // cheap length check - if (thisLength !== collectionLength) { - return false; - } - - // cheap element ref check - if (thisLength === 1) { - return this[0] === collection[0]; - } - return this.every(function (ele) { - return collection.hasElementWithId(ele.id()); - }); - }, - anySame: function anySame(collection) { - collection = this.cy().collection(collection); - return this.some(function (ele) { - return collection.hasElementWithId(ele.id()); - }); - }, - allAreNeighbors: function allAreNeighbors(collection) { - collection = this.cy().collection(collection); - var nhood = this.neighborhood(); - return collection.every(function (ele) { - return nhood.hasElementWithId(ele.id()); - }); - }, - contains: function contains(collection) { - collection = this.cy().collection(collection); - var self = this; - return collection.every(function (ele) { - return self.hasElementWithId(ele.id()); - }); - } - }; - elesfn$g.allAreNeighbours = elesfn$g.allAreNeighbors; - elesfn$g.has = elesfn$g.contains; - elesfn$g.equal = elesfn$g.equals = elesfn$g.same; - - var cache = function cache(fn, name) { - return function traversalCache(arg1, arg2, arg3, arg4) { - var selectorOrEles = arg1; - var eles = this; - var key; - if (selectorOrEles == null) { - key = ''; - } else if (elementOrCollection(selectorOrEles) && selectorOrEles.length === 1) { - key = selectorOrEles.id(); - } - if (eles.length === 1 && key) { - var _p = eles[0]._private; - var tch = _p.traversalCache = _p.traversalCache || {}; - var ch = tch[name] = tch[name] || []; - var hash = hashString(key); - var cacheHit = ch[hash]; - if (cacheHit) { - return cacheHit; - } else { - return ch[hash] = fn.call(eles, arg1, arg2, arg3, arg4); - } - } else { - return fn.call(eles, arg1, arg2, arg3, arg4); - } - }; - }; - - var elesfn$f = { - parent: function parent(selector) { - var parents = []; - - // optimisation for single ele call - if (this.length === 1) { - var parent = this[0]._private.parent; - if (parent) { - return parent; - } - } - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var _parent = ele._private.parent; - if (_parent) { - parents.push(_parent); - } - } - return this.spawn(parents, true).filter(selector); - }, - parents: function parents(selector) { - var parents = []; - var eles = this.parent(); - while (eles.nonempty()) { - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - parents.push(ele); - } - eles = eles.parent(); - } - return this.spawn(parents, true).filter(selector); - }, - commonAncestors: function commonAncestors(selector) { - var ancestors; - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var parents = ele.parents(); - ancestors = ancestors || parents; - ancestors = ancestors.intersect(parents); // current list must be common with current ele parents set - } - - return ancestors.filter(selector); - }, - orphans: function orphans(selector) { - return this.stdFilter(function (ele) { - return ele.isOrphan(); - }).filter(selector); - }, - nonorphans: function nonorphans(selector) { - return this.stdFilter(function (ele) { - return ele.isChild(); - }).filter(selector); - }, - children: cache(function (selector) { - var children = []; - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var eleChildren = ele._private.children; - for (var j = 0; j < eleChildren.length; j++) { - children.push(eleChildren[j]); - } - } - return this.spawn(children, true).filter(selector); - }, 'children'), - siblings: function siblings(selector) { - return this.parent().children().not(this).filter(selector); - }, - isParent: function isParent() { - var ele = this[0]; - if (ele) { - return ele.isNode() && ele._private.children.length !== 0; - } - }, - isChildless: function isChildless() { - var ele = this[0]; - if (ele) { - return ele.isNode() && ele._private.children.length === 0; - } - }, - isChild: function isChild() { - var ele = this[0]; - if (ele) { - return ele.isNode() && ele._private.parent != null; - } - }, - isOrphan: function isOrphan() { - var ele = this[0]; - if (ele) { - return ele.isNode() && ele._private.parent == null; - } - }, - descendants: function descendants(selector) { - var elements = []; - function add(eles) { - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - elements.push(ele); - if (ele.children().nonempty()) { - add(ele.children()); - } - } - } - add(this.children()); - return this.spawn(elements, true).filter(selector); - } - }; - function forEachCompound(eles, fn, includeSelf, recursiveStep) { - var q = []; - var did = new Set$1(); - var cy = eles.cy(); - var hasCompounds = cy.hasCompoundNodes(); - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - if (includeSelf) { - q.push(ele); - } else if (hasCompounds) { - recursiveStep(q, did, ele); - } - } - while (q.length > 0) { - var _ele = q.shift(); - fn(_ele); - did.add(_ele.id()); - if (hasCompounds) { - recursiveStep(q, did, _ele); - } - } - return eles; - } - function addChildren(q, did, ele) { - if (ele.isParent()) { - var children = ele._private.children; - for (var i = 0; i < children.length; i++) { - var child = children[i]; - if (!did.has(child.id())) { - q.push(child); - } - } - } - } - - // very efficient version of eles.add( eles.descendants() ).forEach() - // for internal use - elesfn$f.forEachDown = function (fn) { - var includeSelf = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; - return forEachCompound(this, fn, includeSelf, addChildren); - }; - function addParent(q, did, ele) { - if (ele.isChild()) { - var parent = ele._private.parent; - if (!did.has(parent.id())) { - q.push(parent); - } - } - } - elesfn$f.forEachUp = function (fn) { - var includeSelf = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; - return forEachCompound(this, fn, includeSelf, addParent); - }; - function addParentAndChildren(q, did, ele) { - addParent(q, did, ele); - addChildren(q, did, ele); - } - elesfn$f.forEachUpAndDown = function (fn) { - var includeSelf = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; - return forEachCompound(this, fn, includeSelf, addParentAndChildren); - }; - - // aliases - elesfn$f.ancestors = elesfn$f.parents; - - var fn$5, elesfn$e; - fn$5 = elesfn$e = { - data: define.data({ - field: 'data', - bindingEvent: 'data', - allowBinding: true, - allowSetting: true, - settingEvent: 'data', - settingTriggersEvent: true, - triggerFnName: 'trigger', - allowGetting: true, - immutableKeys: { - 'id': true, - 'source': true, - 'target': true, - 'parent': true - }, - updateStyle: true - }), - removeData: define.removeData({ - field: 'data', - event: 'data', - triggerFnName: 'trigger', - triggerEvent: true, - immutableKeys: { - 'id': true, - 'source': true, - 'target': true, - 'parent': true - }, - updateStyle: true - }), - scratch: define.data({ - field: 'scratch', - bindingEvent: 'scratch', - allowBinding: true, - allowSetting: true, - settingEvent: 'scratch', - settingTriggersEvent: true, - triggerFnName: 'trigger', - allowGetting: true, - updateStyle: true - }), - removeScratch: define.removeData({ - field: 'scratch', - event: 'scratch', - triggerFnName: 'trigger', - triggerEvent: true, - updateStyle: true - }), - rscratch: define.data({ - field: 'rscratch', - allowBinding: false, - allowSetting: true, - settingTriggersEvent: false, - allowGetting: true - }), - removeRscratch: define.removeData({ - field: 'rscratch', - triggerEvent: false - }), - id: function id() { - var ele = this[0]; - if (ele) { - return ele._private.data.id; - } - } - }; - - // aliases - fn$5.attr = fn$5.data; - fn$5.removeAttr = fn$5.removeData; - var data = elesfn$e; - - var elesfn$d = {}; - function defineDegreeFunction(callback) { - return function (includeLoops) { - var self = this; - if (includeLoops === undefined) { - includeLoops = true; - } - if (self.length === 0) { - return; - } - if (self.isNode() && !self.removed()) { - var degree = 0; - var node = self[0]; - var connectedEdges = node._private.edges; - for (var i = 0; i < connectedEdges.length; i++) { - var edge = connectedEdges[i]; - if (!includeLoops && edge.isLoop()) { - continue; - } - degree += callback(node, edge); - } - return degree; - } else { - return; - } - }; - } - extend(elesfn$d, { - degree: defineDegreeFunction(function (node, edge) { - if (edge.source().same(edge.target())) { - return 2; - } else { - return 1; - } - }), - indegree: defineDegreeFunction(function (node, edge) { - if (edge.target().same(node)) { - return 1; - } else { - return 0; - } - }), - outdegree: defineDegreeFunction(function (node, edge) { - if (edge.source().same(node)) { - return 1; - } else { - return 0; - } - }) - }); - function defineDegreeBoundsFunction(degreeFn, callback) { - return function (includeLoops) { - var ret; - var nodes = this.nodes(); - for (var i = 0; i < nodes.length; i++) { - var ele = nodes[i]; - var degree = ele[degreeFn](includeLoops); - if (degree !== undefined && (ret === undefined || callback(degree, ret))) { - ret = degree; - } - } - return ret; - }; - } - extend(elesfn$d, { - minDegree: defineDegreeBoundsFunction('degree', function (degree, min) { - return degree < min; - }), - maxDegree: defineDegreeBoundsFunction('degree', function (degree, max) { - return degree > max; - }), - minIndegree: defineDegreeBoundsFunction('indegree', function (degree, min) { - return degree < min; - }), - maxIndegree: defineDegreeBoundsFunction('indegree', function (degree, max) { - return degree > max; - }), - minOutdegree: defineDegreeBoundsFunction('outdegree', function (degree, min) { - return degree < min; - }), - maxOutdegree: defineDegreeBoundsFunction('outdegree', function (degree, max) { - return degree > max; - }) - }); - extend(elesfn$d, { - totalDegree: function totalDegree(includeLoops) { - var total = 0; - var nodes = this.nodes(); - for (var i = 0; i < nodes.length; i++) { - total += nodes[i].degree(includeLoops); - } - return total; - } - }); - - var fn$4, elesfn$c; - var beforePositionSet = function beforePositionSet(eles, newPos, silent) { - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - if (!ele.locked()) { - var oldPos = ele._private.position; - var delta = { - x: newPos.x != null ? newPos.x - oldPos.x : 0, - y: newPos.y != null ? newPos.y - oldPos.y : 0 - }; - if (ele.isParent() && !(delta.x === 0 && delta.y === 0)) { - ele.children().shift(delta, silent); - } - ele.dirtyBoundingBoxCache(); - } - } - }; - var positionDef = { - field: 'position', - bindingEvent: 'position', - allowBinding: true, - allowSetting: true, - settingEvent: 'position', - settingTriggersEvent: true, - triggerFnName: 'emitAndNotify', - allowGetting: true, - validKeys: ['x', 'y'], - beforeGet: function beforeGet(ele) { - ele.updateCompoundBounds(); - }, - beforeSet: function beforeSet(eles, newPos) { - beforePositionSet(eles, newPos, false); - }, - onSet: function onSet(eles) { - eles.dirtyCompoundBoundsCache(); - }, - canSet: function canSet(ele) { - return !ele.locked(); - } - }; - fn$4 = elesfn$c = { - position: define.data(positionDef), - // position but no notification to renderer - silentPosition: define.data(extend({}, positionDef, { - allowBinding: false, - allowSetting: true, - settingTriggersEvent: false, - allowGetting: false, - beforeSet: function beforeSet(eles, newPos) { - beforePositionSet(eles, newPos, true); - }, - onSet: function onSet(eles) { - eles.dirtyCompoundBoundsCache(); - } - })), - positions: function positions(pos, silent) { - if (plainObject(pos)) { - if (silent) { - this.silentPosition(pos); - } else { - this.position(pos); - } - } else if (fn$6(pos)) { - var _fn = pos; - var cy = this.cy(); - cy.startBatch(); - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var _pos = void 0; - if (_pos = _fn(ele, i)) { - if (silent) { - ele.silentPosition(_pos); - } else { - ele.position(_pos); - } - } - } - cy.endBatch(); - } - return this; // chaining - }, - - silentPositions: function silentPositions(pos) { - return this.positions(pos, true); - }, - shift: function shift(dim, val, silent) { - var delta; - if (plainObject(dim)) { - delta = { - x: number$1(dim.x) ? dim.x : 0, - y: number$1(dim.y) ? dim.y : 0 - }; - silent = val; - } else if (string(dim) && number$1(val)) { - delta = { - x: 0, - y: 0 - }; - delta[dim] = val; - } - if (delta != null) { - var cy = this.cy(); - cy.startBatch(); - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - - // exclude any node that is a descendant of the calling collection - if (cy.hasCompoundNodes() && ele.isChild() && ele.ancestors().anySame(this)) { - continue; - } - var pos = ele.position(); - var newPos = { - x: pos.x + delta.x, - y: pos.y + delta.y - }; - if (silent) { - ele.silentPosition(newPos); - } else { - ele.position(newPos); - } - } - cy.endBatch(); - } - return this; - }, - silentShift: function silentShift(dim, val) { - if (plainObject(dim)) { - this.shift(dim, true); - } else if (string(dim) && number$1(val)) { - this.shift(dim, val, true); - } - return this; - }, - // get/set the rendered (i.e. on screen) positon of the element - renderedPosition: function renderedPosition(dim, val) { - var ele = this[0]; - var cy = this.cy(); - var zoom = cy.zoom(); - var pan = cy.pan(); - var rpos = plainObject(dim) ? dim : undefined; - var setting = rpos !== undefined || val !== undefined && string(dim); - if (ele && ele.isNode()) { - // must have an element and must be a node to return position - if (setting) { - for (var i = 0; i < this.length; i++) { - var _ele = this[i]; - if (val !== undefined) { - // set one dimension - _ele.position(dim, (val - pan[dim]) / zoom); - } else if (rpos !== undefined) { - // set whole position - _ele.position(renderedToModelPosition(rpos, zoom, pan)); - } - } - } else { - // getting - var pos = ele.position(); - rpos = modelToRenderedPosition(pos, zoom, pan); - if (dim === undefined) { - // then return the whole rendered position - return rpos; - } else { - // then return the specified dimension - return rpos[dim]; - } - } - } else if (!setting) { - return undefined; // for empty collection case - } - - return this; // chaining - }, - - // get/set the position relative to the parent - relativePosition: function relativePosition(dim, val) { - var ele = this[0]; - var cy = this.cy(); - var ppos = plainObject(dim) ? dim : undefined; - var setting = ppos !== undefined || val !== undefined && string(dim); - var hasCompoundNodes = cy.hasCompoundNodes(); - if (ele && ele.isNode()) { - // must have an element and must be a node to return position - if (setting) { - for (var i = 0; i < this.length; i++) { - var _ele2 = this[i]; - var parent = hasCompoundNodes ? _ele2.parent() : null; - var hasParent = parent && parent.length > 0; - var relativeToParent = hasParent; - if (hasParent) { - parent = parent[0]; - } - var origin = relativeToParent ? parent.position() : { - x: 0, - y: 0 - }; - if (val !== undefined) { - // set one dimension - _ele2.position(dim, val + origin[dim]); - } else if (ppos !== undefined) { - // set whole position - _ele2.position({ - x: ppos.x + origin.x, - y: ppos.y + origin.y - }); - } - } - } else { - // getting - var pos = ele.position(); - var _parent = hasCompoundNodes ? ele.parent() : null; - var _hasParent = _parent && _parent.length > 0; - var _relativeToParent = _hasParent; - if (_hasParent) { - _parent = _parent[0]; - } - var _origin = _relativeToParent ? _parent.position() : { - x: 0, - y: 0 - }; - ppos = { - x: pos.x - _origin.x, - y: pos.y - _origin.y - }; - if (dim === undefined) { - // then return the whole rendered position - return ppos; - } else { - // then return the specified dimension - return ppos[dim]; - } - } - } else if (!setting) { - return undefined; // for empty collection case - } - - return this; // chaining - } - }; - - // aliases - fn$4.modelPosition = fn$4.point = fn$4.position; - fn$4.modelPositions = fn$4.points = fn$4.positions; - fn$4.renderedPoint = fn$4.renderedPosition; - fn$4.relativePoint = fn$4.relativePosition; - var position = elesfn$c; - - var fn$3, elesfn$b; - fn$3 = elesfn$b = {}; - elesfn$b.renderedBoundingBox = function (options) { - var bb = this.boundingBox(options); - var cy = this.cy(); - var zoom = cy.zoom(); - var pan = cy.pan(); - var x1 = bb.x1 * zoom + pan.x; - var x2 = bb.x2 * zoom + pan.x; - var y1 = bb.y1 * zoom + pan.y; - var y2 = bb.y2 * zoom + pan.y; - return { - x1: x1, - x2: x2, - y1: y1, - y2: y2, - w: x2 - x1, - h: y2 - y1 - }; - }; - elesfn$b.dirtyCompoundBoundsCache = function () { - var silent = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : false; - var cy = this.cy(); - if (!cy.styleEnabled() || !cy.hasCompoundNodes()) { - return this; - } - this.forEachUp(function (ele) { - if (ele.isParent()) { - var _p = ele._private; - _p.compoundBoundsClean = false; - _p.bbCache = null; - if (!silent) { - ele.emitAndNotify('bounds'); - } - } - }); - return this; - }; - elesfn$b.updateCompoundBounds = function () { - var force = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : false; - var cy = this.cy(); - - // not possible to do on non-compound graphs or with the style disabled - if (!cy.styleEnabled() || !cy.hasCompoundNodes()) { - return this; - } - - // save cycles when batching -- but bounds will be stale (or not exist yet) - if (!force && cy.batching()) { - return this; - } - function update(parent) { - if (!parent.isParent()) { - return; - } - var _p = parent._private; - var children = parent.children(); - var includeLabels = parent.pstyle('compound-sizing-wrt-labels').value === 'include'; - var min = { - width: { - val: parent.pstyle('min-width').pfValue, - left: parent.pstyle('min-width-bias-left'), - right: parent.pstyle('min-width-bias-right') - }, - height: { - val: parent.pstyle('min-height').pfValue, - top: parent.pstyle('min-height-bias-top'), - bottom: parent.pstyle('min-height-bias-bottom') - } - }; - var bb = children.boundingBox({ - includeLabels: includeLabels, - includeOverlays: false, - // updating the compound bounds happens outside of the regular - // cache cycle (i.e. before fired events) - useCache: false - }); - var pos = _p.position; - - // if children take up zero area then keep position and fall back on stylesheet w/h - if (bb.w === 0 || bb.h === 0) { - bb = { - w: parent.pstyle('width').pfValue, - h: parent.pstyle('height').pfValue - }; - bb.x1 = pos.x - bb.w / 2; - bb.x2 = pos.x + bb.w / 2; - bb.y1 = pos.y - bb.h / 2; - bb.y2 = pos.y + bb.h / 2; - } - function computeBiasValues(propDiff, propBias, propBiasComplement) { - var biasDiff = 0; - var biasComplementDiff = 0; - var biasTotal = propBias + propBiasComplement; - if (propDiff > 0 && biasTotal > 0) { - biasDiff = propBias / biasTotal * propDiff; - biasComplementDiff = propBiasComplement / biasTotal * propDiff; - } - return { - biasDiff: biasDiff, - biasComplementDiff: biasComplementDiff - }; - } - function computePaddingValues(width, height, paddingObject, relativeTo) { - // Assuming percentage is number from 0 to 1 - if (paddingObject.units === '%') { - switch (relativeTo) { - case 'width': - return width > 0 ? paddingObject.pfValue * width : 0; - case 'height': - return height > 0 ? paddingObject.pfValue * height : 0; - case 'average': - return width > 0 && height > 0 ? paddingObject.pfValue * (width + height) / 2 : 0; - case 'min': - return width > 0 && height > 0 ? width > height ? paddingObject.pfValue * height : paddingObject.pfValue * width : 0; - case 'max': - return width > 0 && height > 0 ? width > height ? paddingObject.pfValue * width : paddingObject.pfValue * height : 0; - default: - return 0; - } - } else if (paddingObject.units === 'px') { - return paddingObject.pfValue; - } else { - return 0; - } - } - var leftVal = min.width.left.value; - if (min.width.left.units === 'px' && min.width.val > 0) { - leftVal = leftVal * 100 / min.width.val; - } - var rightVal = min.width.right.value; - if (min.width.right.units === 'px' && min.width.val > 0) { - rightVal = rightVal * 100 / min.width.val; - } - var topVal = min.height.top.value; - if (min.height.top.units === 'px' && min.height.val > 0) { - topVal = topVal * 100 / min.height.val; - } - var bottomVal = min.height.bottom.value; - if (min.height.bottom.units === 'px' && min.height.val > 0) { - bottomVal = bottomVal * 100 / min.height.val; - } - var widthBiasDiffs = computeBiasValues(min.width.val - bb.w, leftVal, rightVal); - var diffLeft = widthBiasDiffs.biasDiff; - var diffRight = widthBiasDiffs.biasComplementDiff; - var heightBiasDiffs = computeBiasValues(min.height.val - bb.h, topVal, bottomVal); - var diffTop = heightBiasDiffs.biasDiff; - var diffBottom = heightBiasDiffs.biasComplementDiff; - _p.autoPadding = computePaddingValues(bb.w, bb.h, parent.pstyle('padding'), parent.pstyle('padding-relative-to').value); - _p.autoWidth = Math.max(bb.w, min.width.val); - pos.x = (-diffLeft + bb.x1 + bb.x2 + diffRight) / 2; - _p.autoHeight = Math.max(bb.h, min.height.val); - pos.y = (-diffTop + bb.y1 + bb.y2 + diffBottom) / 2; - } - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var _p = ele._private; - if (!_p.compoundBoundsClean || force) { - update(ele); - if (!cy.batching()) { - _p.compoundBoundsClean = true; - } - } - } - return this; - }; - var noninf = function noninf(x) { - if (x === Infinity || x === -Infinity) { - return 0; - } - return x; - }; - var updateBounds = function updateBounds(b, x1, y1, x2, y2) { - // don't update with zero area boxes - if (x2 - x1 === 0 || y2 - y1 === 0) { - return; - } - - // don't update with null dim - if (x1 == null || y1 == null || x2 == null || y2 == null) { - return; - } - b.x1 = x1 < b.x1 ? x1 : b.x1; - b.x2 = x2 > b.x2 ? x2 : b.x2; - b.y1 = y1 < b.y1 ? y1 : b.y1; - b.y2 = y2 > b.y2 ? y2 : b.y2; - b.w = b.x2 - b.x1; - b.h = b.y2 - b.y1; - }; - var updateBoundsFromBox = function updateBoundsFromBox(b, b2) { - if (b2 == null) { - return b; - } - return updateBounds(b, b2.x1, b2.y1, b2.x2, b2.y2); - }; - var prefixedProperty = function prefixedProperty(obj, field, prefix) { - return getPrefixedProperty(obj, field, prefix); - }; - var updateBoundsFromArrow = function updateBoundsFromArrow(bounds, ele, prefix) { - if (ele.cy().headless()) { - return; - } - var _p = ele._private; - var rstyle = _p.rstyle; - var halfArW = rstyle.arrowWidth / 2; - var arrowType = ele.pstyle(prefix + '-arrow-shape').value; - var x; - var y; - if (arrowType !== 'none') { - if (prefix === 'source') { - x = rstyle.srcX; - y = rstyle.srcY; - } else if (prefix === 'target') { - x = rstyle.tgtX; - y = rstyle.tgtY; - } else { - x = rstyle.midX; - y = rstyle.midY; - } - - // always store the individual arrow bounds - var bbs = _p.arrowBounds = _p.arrowBounds || {}; - var bb = bbs[prefix] = bbs[prefix] || {}; - bb.x1 = x - halfArW; - bb.y1 = y - halfArW; - bb.x2 = x + halfArW; - bb.y2 = y + halfArW; - bb.w = bb.x2 - bb.x1; - bb.h = bb.y2 - bb.y1; - expandBoundingBox(bb, 1); - updateBounds(bounds, bb.x1, bb.y1, bb.x2, bb.y2); - } - }; - var updateBoundsFromLabel = function updateBoundsFromLabel(bounds, ele, prefix) { - if (ele.cy().headless()) { - return; - } - var prefixDash; - if (prefix) { - prefixDash = prefix + '-'; - } else { - prefixDash = ''; - } - var _p = ele._private; - var rstyle = _p.rstyle; - var label = ele.pstyle(prefixDash + 'label').strValue; - if (label) { - var halign = ele.pstyle('text-halign'); - var valign = ele.pstyle('text-valign'); - var labelWidth = prefixedProperty(rstyle, 'labelWidth', prefix); - var labelHeight = prefixedProperty(rstyle, 'labelHeight', prefix); - var labelX = prefixedProperty(rstyle, 'labelX', prefix); - var labelY = prefixedProperty(rstyle, 'labelY', prefix); - var marginX = ele.pstyle(prefixDash + 'text-margin-x').pfValue; - var marginY = ele.pstyle(prefixDash + 'text-margin-y').pfValue; - var isEdge = ele.isEdge(); - var rotation = ele.pstyle(prefixDash + 'text-rotation'); - var outlineWidth = ele.pstyle('text-outline-width').pfValue; - var borderWidth = ele.pstyle('text-border-width').pfValue; - var halfBorderWidth = borderWidth / 2; - var padding = ele.pstyle('text-background-padding').pfValue; - var marginOfError = 2; // expand to work around browser dimension inaccuracies - - var lh = labelHeight; - var lw = labelWidth; - var lw_2 = lw / 2; - var lh_2 = lh / 2; - var lx1, lx2, ly1, ly2; - if (isEdge) { - lx1 = labelX - lw_2; - lx2 = labelX + lw_2; - ly1 = labelY - lh_2; - ly2 = labelY + lh_2; - } else { - switch (halign.value) { - case 'left': - lx1 = labelX - lw; - lx2 = labelX; - break; - case 'center': - lx1 = labelX - lw_2; - lx2 = labelX + lw_2; - break; - case 'right': - lx1 = labelX; - lx2 = labelX + lw; - break; - } - switch (valign.value) { - case 'top': - ly1 = labelY - lh; - ly2 = labelY; - break; - case 'center': - ly1 = labelY - lh_2; - ly2 = labelY + lh_2; - break; - case 'bottom': - ly1 = labelY; - ly2 = labelY + lh; - break; - } - } - - // shift by margin and expand by outline and border - lx1 += marginX - Math.max(outlineWidth, halfBorderWidth) - padding - marginOfError; - lx2 += marginX + Math.max(outlineWidth, halfBorderWidth) + padding + marginOfError; - ly1 += marginY - Math.max(outlineWidth, halfBorderWidth) - padding - marginOfError; - ly2 += marginY + Math.max(outlineWidth, halfBorderWidth) + padding + marginOfError; - - // always store the unrotated label bounds separately - var bbPrefix = prefix || 'main'; - var bbs = _p.labelBounds; - var bb = bbs[bbPrefix] = bbs[bbPrefix] || {}; - bb.x1 = lx1; - bb.y1 = ly1; - bb.x2 = lx2; - bb.y2 = ly2; - bb.w = lx2 - lx1; - bb.h = ly2 - ly1; - var isAutorotate = isEdge && rotation.strValue === 'autorotate'; - var isPfValue = rotation.pfValue != null && rotation.pfValue !== 0; - if (isAutorotate || isPfValue) { - var theta = isAutorotate ? prefixedProperty(_p.rstyle, 'labelAngle', prefix) : rotation.pfValue; - var cos = Math.cos(theta); - var sin = Math.sin(theta); - - // rotation point (default value for center-center) - var xo = (lx1 + lx2) / 2; - var yo = (ly1 + ly2) / 2; - if (!isEdge) { - switch (halign.value) { - case 'left': - xo = lx2; - break; - case 'right': - xo = lx1; - break; - } - switch (valign.value) { - case 'top': - yo = ly2; - break; - case 'bottom': - yo = ly1; - break; - } - } - var rotate = function rotate(x, y) { - x = x - xo; - y = y - yo; - return { - x: x * cos - y * sin + xo, - y: x * sin + y * cos + yo - }; - }; - var px1y1 = rotate(lx1, ly1); - var px1y2 = rotate(lx1, ly2); - var px2y1 = rotate(lx2, ly1); - var px2y2 = rotate(lx2, ly2); - lx1 = Math.min(px1y1.x, px1y2.x, px2y1.x, px2y2.x); - lx2 = Math.max(px1y1.x, px1y2.x, px2y1.x, px2y2.x); - ly1 = Math.min(px1y1.y, px1y2.y, px2y1.y, px2y2.y); - ly2 = Math.max(px1y1.y, px1y2.y, px2y1.y, px2y2.y); - } - var bbPrefixRot = bbPrefix + 'Rot'; - var bbRot = bbs[bbPrefixRot] = bbs[bbPrefixRot] || {}; - bbRot.x1 = lx1; - bbRot.y1 = ly1; - bbRot.x2 = lx2; - bbRot.y2 = ly2; - bbRot.w = lx2 - lx1; - bbRot.h = ly2 - ly1; - updateBounds(bounds, lx1, ly1, lx2, ly2); - updateBounds(_p.labelBounds.all, lx1, ly1, lx2, ly2); - } - return bounds; - }; - var updateBoundsFromOutline = function updateBoundsFromOutline(bounds, ele) { - if (ele.cy().headless()) { - return; - } - var outlineOpacity = ele.pstyle('outline-opacity').value; - var outlineWidth = ele.pstyle('outline-width').value; - if (outlineOpacity > 0 && outlineWidth > 0) { - var outlineOffset = ele.pstyle('outline-offset').value; - var nodeShape = ele.pstyle('shape').value; - var outlineSize = outlineWidth + outlineOffset; - var scaleX = (bounds.w + outlineSize * 2) / bounds.w; - var scaleY = (bounds.h + outlineSize * 2) / bounds.h; - var xOffset = 0; - var yOffset = 0; - if (["diamond", "pentagon", "round-triangle"].includes(nodeShape)) { - scaleX = (bounds.w + outlineSize * 2.4) / bounds.w; - yOffset = -outlineSize / 3.6; - } else if (["concave-hexagon", "rhomboid", "right-rhomboid"].includes(nodeShape)) { - scaleX = (bounds.w + outlineSize * 2.4) / bounds.w; - } else if (nodeShape === "star") { - scaleX = (bounds.w + outlineSize * 2.8) / bounds.w; - scaleY = (bounds.h + outlineSize * 2.6) / bounds.h; - yOffset = -outlineSize / 3.8; - } else if (nodeShape === "triangle") { - scaleX = (bounds.w + outlineSize * 2.8) / bounds.w; - scaleY = (bounds.h + outlineSize * 2.4) / bounds.h; - yOffset = -outlineSize / 1.4; - } else if (nodeShape === "vee") { - scaleX = (bounds.w + outlineSize * 4.4) / bounds.w; - scaleY = (bounds.h + outlineSize * 3.8) / bounds.h; - yOffset = -outlineSize * .5; - } - var hDelta = bounds.h * scaleY - bounds.h; - var wDelta = bounds.w * scaleX - bounds.w; - expandBoundingBoxSides(bounds, [Math.ceil(hDelta / 2), Math.ceil(wDelta / 2)]); - if (xOffset != 0 || yOffset !== 0) { - var oBounds = shiftBoundingBox(bounds, xOffset, yOffset); - updateBoundingBox(bounds, oBounds); - } - } - }; - - // get the bounding box of the elements (in raw model position) - var boundingBoxImpl = function boundingBoxImpl(ele, options) { - var cy = ele._private.cy; - var styleEnabled = cy.styleEnabled(); - var headless = cy.headless(); - var bounds = makeBoundingBox(); - var _p = ele._private; - var isNode = ele.isNode(); - var isEdge = ele.isEdge(); - var ex1, ex2, ey1, ey2; // extrema of body / lines - var x, y; // node pos - var rstyle = _p.rstyle; - var manualExpansion = isNode && styleEnabled ? ele.pstyle('bounds-expansion').pfValue : [0]; - - // must use `display` prop only, as reading `compound.width()` causes recursion - // (other factors like width values will be considered later in this function anyway) - var isDisplayed = function isDisplayed(ele) { - return ele.pstyle('display').value !== 'none'; - }; - var displayed = !styleEnabled || isDisplayed(ele) - - // must take into account connected nodes b/c of implicit edge hiding on display:none node - && (!isEdge || isDisplayed(ele.source()) && isDisplayed(ele.target())); - if (displayed) { - // displayed suffices, since we will find zero area eles anyway - var overlayOpacity = 0; - var overlayPadding = 0; - if (styleEnabled && options.includeOverlays) { - overlayOpacity = ele.pstyle('overlay-opacity').value; - if (overlayOpacity !== 0) { - overlayPadding = ele.pstyle('overlay-padding').value; - } - } - var underlayOpacity = 0; - var underlayPadding = 0; - if (styleEnabled && options.includeUnderlays) { - underlayOpacity = ele.pstyle('underlay-opacity').value; - if (underlayOpacity !== 0) { - underlayPadding = ele.pstyle('underlay-padding').value; - } - } - var padding = Math.max(overlayPadding, underlayPadding); - var w = 0; - var wHalf = 0; - if (styleEnabled) { - w = ele.pstyle('width').pfValue; - wHalf = w / 2; - } - if (isNode && options.includeNodes) { - var pos = ele.position(); - x = pos.x; - y = pos.y; - var _w = ele.outerWidth(); - var halfW = _w / 2; - var h = ele.outerHeight(); - var halfH = h / 2; - - // handle node dimensions - ///////////////////////// - - ex1 = x - halfW; - ex2 = x + halfW; - ey1 = y - halfH; - ey2 = y + halfH; - updateBounds(bounds, ex1, ey1, ex2, ey2); - if (styleEnabled && options.includeOutlines) { - updateBoundsFromOutline(bounds, ele); - } - } else if (isEdge && options.includeEdges) { - if (styleEnabled && !headless) { - var curveStyle = ele.pstyle('curve-style').strValue; - - // handle edge dimensions (rough box estimate) - ////////////////////////////////////////////// - - ex1 = Math.min(rstyle.srcX, rstyle.midX, rstyle.tgtX); - ex2 = Math.max(rstyle.srcX, rstyle.midX, rstyle.tgtX); - ey1 = Math.min(rstyle.srcY, rstyle.midY, rstyle.tgtY); - ey2 = Math.max(rstyle.srcY, rstyle.midY, rstyle.tgtY); - - // take into account edge width - ex1 -= wHalf; - ex2 += wHalf; - ey1 -= wHalf; - ey2 += wHalf; - updateBounds(bounds, ex1, ey1, ex2, ey2); - - // precise edges - //////////////// - - if (curveStyle === 'haystack') { - var hpts = rstyle.haystackPts; - if (hpts && hpts.length === 2) { - ex1 = hpts[0].x; - ey1 = hpts[0].y; - ex2 = hpts[1].x; - ey2 = hpts[1].y; - if (ex1 > ex2) { - var temp = ex1; - ex1 = ex2; - ex2 = temp; - } - if (ey1 > ey2) { - var _temp = ey1; - ey1 = ey2; - ey2 = _temp; - } - updateBounds(bounds, ex1 - wHalf, ey1 - wHalf, ex2 + wHalf, ey2 + wHalf); - } - } else if (curveStyle === 'bezier' || curveStyle === 'unbundled-bezier' || curveStyle === 'segments' || curveStyle === 'taxi') { - var pts; - switch (curveStyle) { - case 'bezier': - case 'unbundled-bezier': - pts = rstyle.bezierPts; - break; - case 'segments': - case 'taxi': - pts = rstyle.linePts; - break; - } - if (pts != null) { - for (var j = 0; j < pts.length; j++) { - var pt = pts[j]; - ex1 = pt.x - wHalf; - ex2 = pt.x + wHalf; - ey1 = pt.y - wHalf; - ey2 = pt.y + wHalf; - updateBounds(bounds, ex1, ey1, ex2, ey2); - } - } - } // bezier-like or segment-like edge - } else { - // headless or style disabled - - // fallback on source and target positions - ////////////////////////////////////////// - - var n1 = ele.source(); - var n1pos = n1.position(); - var n2 = ele.target(); - var n2pos = n2.position(); - ex1 = n1pos.x; - ex2 = n2pos.x; - ey1 = n1pos.y; - ey2 = n2pos.y; - if (ex1 > ex2) { - var _temp2 = ex1; - ex1 = ex2; - ex2 = _temp2; - } - if (ey1 > ey2) { - var _temp3 = ey1; - ey1 = ey2; - ey2 = _temp3; - } - - // take into account edge width - ex1 -= wHalf; - ex2 += wHalf; - ey1 -= wHalf; - ey2 += wHalf; - updateBounds(bounds, ex1, ey1, ex2, ey2); - } // headless or style disabled - } // edges - - // handle edge arrow size - ///////////////////////// - - if (styleEnabled && options.includeEdges && isEdge) { - updateBoundsFromArrow(bounds, ele, 'mid-source'); - updateBoundsFromArrow(bounds, ele, 'mid-target'); - updateBoundsFromArrow(bounds, ele, 'source'); - updateBoundsFromArrow(bounds, ele, 'target'); - } - - // ghost - //////// - - if (styleEnabled) { - var ghost = ele.pstyle('ghost').value === 'yes'; - if (ghost) { - var gx = ele.pstyle('ghost-offset-x').pfValue; - var gy = ele.pstyle('ghost-offset-y').pfValue; - updateBounds(bounds, bounds.x1 + gx, bounds.y1 + gy, bounds.x2 + gx, bounds.y2 + gy); - } - } - - // always store the body bounds separately from the labels - var bbBody = _p.bodyBounds = _p.bodyBounds || {}; - assignBoundingBox(bbBody, bounds); - expandBoundingBoxSides(bbBody, manualExpansion); - expandBoundingBox(bbBody, 1); // expand to work around browser dimension inaccuracies - - // overlay - ////////// - - if (styleEnabled) { - ex1 = bounds.x1; - ex2 = bounds.x2; - ey1 = bounds.y1; - ey2 = bounds.y2; - updateBounds(bounds, ex1 - padding, ey1 - padding, ex2 + padding, ey2 + padding); - } - - // always store the body bounds separately from the labels - var bbOverlay = _p.overlayBounds = _p.overlayBounds || {}; - assignBoundingBox(bbOverlay, bounds); - expandBoundingBoxSides(bbOverlay, manualExpansion); - expandBoundingBox(bbOverlay, 1); // expand to work around browser dimension inaccuracies - - // handle label dimensions - ////////////////////////// - - var bbLabels = _p.labelBounds = _p.labelBounds || {}; - if (bbLabels.all != null) { - clearBoundingBox(bbLabels.all); - } else { - bbLabels.all = makeBoundingBox(); - } - if (styleEnabled && options.includeLabels) { - if (options.includeMainLabels) { - updateBoundsFromLabel(bounds, ele, null); - } - if (isEdge) { - if (options.includeSourceLabels) { - updateBoundsFromLabel(bounds, ele, 'source'); - } - if (options.includeTargetLabels) { - updateBoundsFromLabel(bounds, ele, 'target'); - } - } - } // style enabled for labels - } // if displayed - - bounds.x1 = noninf(bounds.x1); - bounds.y1 = noninf(bounds.y1); - bounds.x2 = noninf(bounds.x2); - bounds.y2 = noninf(bounds.y2); - bounds.w = noninf(bounds.x2 - bounds.x1); - bounds.h = noninf(bounds.y2 - bounds.y1); - if (bounds.w > 0 && bounds.h > 0 && displayed) { - expandBoundingBoxSides(bounds, manualExpansion); - - // expand bounds by 1 because antialiasing can increase the visual/effective size by 1 on all sides - expandBoundingBox(bounds, 1); - } - return bounds; - }; - var getKey = function getKey(opts) { - var i = 0; - var tf = function tf(val) { - return (val ? 1 : 0) << i++; - }; - var key = 0; - key += tf(opts.incudeNodes); - key += tf(opts.includeEdges); - key += tf(opts.includeLabels); - key += tf(opts.includeMainLabels); - key += tf(opts.includeSourceLabels); - key += tf(opts.includeTargetLabels); - key += tf(opts.includeOverlays); - key += tf(opts.includeOutlines); - return key; - }; - var getBoundingBoxPosKey = function getBoundingBoxPosKey(ele) { - if (ele.isEdge()) { - var p1 = ele.source().position(); - var p2 = ele.target().position(); - var r = function r(x) { - return Math.round(x); - }; - return hashIntsArray([r(p1.x), r(p1.y), r(p2.x), r(p2.y)]); - } else { - return 0; - } - }; - var cachedBoundingBoxImpl = function cachedBoundingBoxImpl(ele, opts) { - var _p = ele._private; - var bb; - var isEdge = ele.isEdge(); - var key = opts == null ? defBbOptsKey : getKey(opts); - var usingDefOpts = key === defBbOptsKey; - var currPosKey = getBoundingBoxPosKey(ele); - var isPosKeySame = _p.bbCachePosKey === currPosKey; - var useCache = opts.useCache && isPosKeySame; - var isDirty = function isDirty(ele) { - return ele._private.bbCache == null || ele._private.styleDirty; - }; - var needRecalc = !useCache || isDirty(ele) || isEdge && isDirty(ele.source()) || isDirty(ele.target()); - if (needRecalc) { - if (!isPosKeySame) { - ele.recalculateRenderedStyle(useCache); - } - bb = boundingBoxImpl(ele, defBbOpts); - _p.bbCache = bb; - _p.bbCachePosKey = currPosKey; - } else { - bb = _p.bbCache; - } - - // not using def opts => need to build up bb from combination of sub bbs - if (!usingDefOpts) { - var isNode = ele.isNode(); - bb = makeBoundingBox(); - if (opts.includeNodes && isNode || opts.includeEdges && !isNode) { - if (opts.includeOverlays) { - updateBoundsFromBox(bb, _p.overlayBounds); - } else { - updateBoundsFromBox(bb, _p.bodyBounds); - } - } - if (opts.includeLabels) { - if (opts.includeMainLabels && (!isEdge || opts.includeSourceLabels && opts.includeTargetLabels)) { - updateBoundsFromBox(bb, _p.labelBounds.all); - } else { - if (opts.includeMainLabels) { - updateBoundsFromBox(bb, _p.labelBounds.mainRot); - } - if (opts.includeSourceLabels) { - updateBoundsFromBox(bb, _p.labelBounds.sourceRot); - } - if (opts.includeTargetLabels) { - updateBoundsFromBox(bb, _p.labelBounds.targetRot); - } - } - } - bb.w = bb.x2 - bb.x1; - bb.h = bb.y2 - bb.y1; - } - return bb; - }; - var defBbOpts = { - includeNodes: true, - includeEdges: true, - includeLabels: true, - includeMainLabels: true, - includeSourceLabels: true, - includeTargetLabels: true, - includeOverlays: true, - includeUnderlays: true, - includeOutlines: true, - useCache: true - }; - var defBbOptsKey = getKey(defBbOpts); - var filledBbOpts = defaults$g(defBbOpts); - elesfn$b.boundingBox = function (options) { - var bounds; - - // the main usecase is ele.boundingBox() for a single element with no/def options - // specified s.t. the cache is used, so check for this case to make it faster by - // avoiding the overhead of the rest of the function - if (this.length === 1 && this[0]._private.bbCache != null && !this[0]._private.styleDirty && (options === undefined || options.useCache === undefined || options.useCache === true)) { - if (options === undefined) { - options = defBbOpts; - } else { - options = filledBbOpts(options); - } - bounds = cachedBoundingBoxImpl(this[0], options); - } else { - bounds = makeBoundingBox(); - options = options || defBbOpts; - var opts = filledBbOpts(options); - var eles = this; - var cy = eles.cy(); - var styleEnabled = cy.styleEnabled(); - if (styleEnabled) { - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var _p = ele._private; - var currPosKey = getBoundingBoxPosKey(ele); - var isPosKeySame = _p.bbCachePosKey === currPosKey; - var useCache = opts.useCache && isPosKeySame && !_p.styleDirty; - ele.recalculateRenderedStyle(useCache); - } - } - this.updateCompoundBounds(!options.useCache); - for (var _i = 0; _i < eles.length; _i++) { - var _ele = eles[_i]; - updateBoundsFromBox(bounds, cachedBoundingBoxImpl(_ele, opts)); - } - } - bounds.x1 = noninf(bounds.x1); - bounds.y1 = noninf(bounds.y1); - bounds.x2 = noninf(bounds.x2); - bounds.y2 = noninf(bounds.y2); - bounds.w = noninf(bounds.x2 - bounds.x1); - bounds.h = noninf(bounds.y2 - bounds.y1); - return bounds; - }; - elesfn$b.dirtyBoundingBoxCache = function () { - for (var i = 0; i < this.length; i++) { - var _p = this[i]._private; - _p.bbCache = null; - _p.bbCachePosKey = null; - _p.bodyBounds = null; - _p.overlayBounds = null; - _p.labelBounds.all = null; - _p.labelBounds.source = null; - _p.labelBounds.target = null; - _p.labelBounds.main = null; - _p.labelBounds.sourceRot = null; - _p.labelBounds.targetRot = null; - _p.labelBounds.mainRot = null; - _p.arrowBounds.source = null; - _p.arrowBounds.target = null; - _p.arrowBounds['mid-source'] = null; - _p.arrowBounds['mid-target'] = null; - } - this.emitAndNotify('bounds'); - return this; - }; - - // private helper to get bounding box for custom node positions - // - good for perf in certain cases but currently requires dirtying the rendered style - // - would be better to not modify the nodes but the nodes are read directly everywhere in the renderer... - // - try to use for only things like discrete layouts where the node position would change anyway - elesfn$b.boundingBoxAt = function (fn) { - var nodes = this.nodes(); - var cy = this.cy(); - var hasCompoundNodes = cy.hasCompoundNodes(); - var parents = cy.collection(); - if (hasCompoundNodes) { - parents = nodes.filter(function (node) { - return node.isParent(); - }); - nodes = nodes.not(parents); - } - if (plainObject(fn)) { - var obj = fn; - fn = function fn() { - return obj; - }; - } - var storeOldPos = function storeOldPos(node, i) { - return node._private.bbAtOldPos = fn(node, i); - }; - var getOldPos = function getOldPos(node) { - return node._private.bbAtOldPos; - }; - cy.startBatch(); - nodes.forEach(storeOldPos).silentPositions(fn); - if (hasCompoundNodes) { - parents.dirtyCompoundBoundsCache(); - parents.dirtyBoundingBoxCache(); - parents.updateCompoundBounds(true); // force update b/c we're inside a batch cycle - } - - var bb = copyBoundingBox(this.boundingBox({ - useCache: false - })); - nodes.silentPositions(getOldPos); - if (hasCompoundNodes) { - parents.dirtyCompoundBoundsCache(); - parents.dirtyBoundingBoxCache(); - parents.updateCompoundBounds(true); // force update b/c we're inside a batch cycle - } - - cy.endBatch(); - return bb; - }; - fn$3.boundingbox = fn$3.bb = fn$3.boundingBox; - fn$3.renderedBoundingbox = fn$3.renderedBoundingBox; - var bounds = elesfn$b; - - var fn$2, elesfn$a; - fn$2 = elesfn$a = {}; - var defineDimFns = function defineDimFns(opts) { - opts.uppercaseName = capitalize(opts.name); - opts.autoName = 'auto' + opts.uppercaseName; - opts.labelName = 'label' + opts.uppercaseName; - opts.outerName = 'outer' + opts.uppercaseName; - opts.uppercaseOuterName = capitalize(opts.outerName); - fn$2[opts.name] = function dimImpl() { - var ele = this[0]; - var _p = ele._private; - var cy = _p.cy; - var styleEnabled = cy._private.styleEnabled; - if (ele) { - if (styleEnabled) { - if (ele.isParent()) { - ele.updateCompoundBounds(); - return _p[opts.autoName] || 0; - } - var d = ele.pstyle(opts.name); - switch (d.strValue) { - case 'label': - ele.recalculateRenderedStyle(); - return _p.rstyle[opts.labelName] || 0; - default: - return d.pfValue; - } - } else { - return 1; - } - } - }; - fn$2['outer' + opts.uppercaseName] = function outerDimImpl() { - var ele = this[0]; - var _p = ele._private; - var cy = _p.cy; - var styleEnabled = cy._private.styleEnabled; - if (ele) { - if (styleEnabled) { - var dim = ele[opts.name](); - var border = ele.pstyle('border-width').pfValue; // n.b. 1/2 each side - var padding = 2 * ele.padding(); - return dim + border + padding; - } else { - return 1; - } - } - }; - fn$2['rendered' + opts.uppercaseName] = function renderedDimImpl() { - var ele = this[0]; - if (ele) { - var d = ele[opts.name](); - return d * this.cy().zoom(); - } - }; - fn$2['rendered' + opts.uppercaseOuterName] = function renderedOuterDimImpl() { - var ele = this[0]; - if (ele) { - var od = ele[opts.outerName](); - return od * this.cy().zoom(); - } - }; - }; - defineDimFns({ - name: 'width' - }); - defineDimFns({ - name: 'height' - }); - elesfn$a.padding = function () { - var ele = this[0]; - var _p = ele._private; - if (ele.isParent()) { - ele.updateCompoundBounds(); - if (_p.autoPadding !== undefined) { - return _p.autoPadding; - } else { - return ele.pstyle('padding').pfValue; - } - } else { - return ele.pstyle('padding').pfValue; - } - }; - elesfn$a.paddedHeight = function () { - var ele = this[0]; - return ele.height() + 2 * ele.padding(); - }; - elesfn$a.paddedWidth = function () { - var ele = this[0]; - return ele.width() + 2 * ele.padding(); - }; - var widthHeight = elesfn$a; - - var ifEdge = function ifEdge(ele, getValue) { - if (ele.isEdge()) { - return getValue(ele); - } - }; - var ifEdgeRenderedPosition = function ifEdgeRenderedPosition(ele, getPoint) { - if (ele.isEdge()) { - var cy = ele.cy(); - return modelToRenderedPosition(getPoint(ele), cy.zoom(), cy.pan()); - } - }; - var ifEdgeRenderedPositions = function ifEdgeRenderedPositions(ele, getPoints) { - if (ele.isEdge()) { - var cy = ele.cy(); - var pan = cy.pan(); - var zoom = cy.zoom(); - return getPoints(ele).map(function (p) { - return modelToRenderedPosition(p, zoom, pan); - }); - } - }; - var controlPoints = function controlPoints(ele) { - return ele.renderer().getControlPoints(ele); - }; - var segmentPoints = function segmentPoints(ele) { - return ele.renderer().getSegmentPoints(ele); - }; - var sourceEndpoint = function sourceEndpoint(ele) { - return ele.renderer().getSourceEndpoint(ele); - }; - var targetEndpoint = function targetEndpoint(ele) { - return ele.renderer().getTargetEndpoint(ele); - }; - var midpoint = function midpoint(ele) { - return ele.renderer().getEdgeMidpoint(ele); - }; - var pts = { - controlPoints: { - get: controlPoints, - mult: true - }, - segmentPoints: { - get: segmentPoints, - mult: true - }, - sourceEndpoint: { - get: sourceEndpoint - }, - targetEndpoint: { - get: targetEndpoint - }, - midpoint: { - get: midpoint - } - }; - var renderedName = function renderedName(name) { - return 'rendered' + name[0].toUpperCase() + name.substr(1); - }; - var edgePoints = Object.keys(pts).reduce(function (obj, name) { - var spec = pts[name]; - var rName = renderedName(name); - obj[name] = function () { - return ifEdge(this, spec.get); - }; - if (spec.mult) { - obj[rName] = function () { - return ifEdgeRenderedPositions(this, spec.get); - }; - } else { - obj[rName] = function () { - return ifEdgeRenderedPosition(this, spec.get); - }; - } - return obj; - }, {}); - - var dimensions = extend({}, position, bounds, widthHeight, edgePoints); - - /*! - Event object based on jQuery events, MIT license - - https://jquery.org/license/ - https://tldrlegal.com/license/mit-license - https://github.com/jquery/jquery/blob/master/src/event.js - */ - - var Event = function Event(src, props) { - this.recycle(src, props); - }; - function returnFalse() { - return false; - } - function returnTrue() { - return true; - } - - // http://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html - Event.prototype = { - instanceString: function instanceString() { - return 'event'; - }, - recycle: function recycle(src, props) { - this.isImmediatePropagationStopped = this.isPropagationStopped = this.isDefaultPrevented = returnFalse; - if (src != null && src.preventDefault) { - // Browser Event object - this.type = src.type; - - // Events bubbling up the document may have been marked as prevented - // by a handler lower down the tree; reflect the correct value. - this.isDefaultPrevented = src.defaultPrevented ? returnTrue : returnFalse; - } else if (src != null && src.type) { - // Plain object containing all event details - props = src; - } else { - // Event string - this.type = src; - } - - // Put explicitly provided properties onto the event object - if (props != null) { - // more efficient to manually copy fields we use - this.originalEvent = props.originalEvent; - this.type = props.type != null ? props.type : this.type; - this.cy = props.cy; - this.target = props.target; - this.position = props.position; - this.renderedPosition = props.renderedPosition; - this.namespace = props.namespace; - this.layout = props.layout; - } - if (this.cy != null && this.position != null && this.renderedPosition == null) { - // create a rendered position based on the passed position - var pos = this.position; - var zoom = this.cy.zoom(); - var pan = this.cy.pan(); - this.renderedPosition = { - x: pos.x * zoom + pan.x, - y: pos.y * zoom + pan.y - }; - } - - // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || Date.now(); - }, - preventDefault: function preventDefault() { - this.isDefaultPrevented = returnTrue; - var e = this.originalEvent; - if (!e) { - return; - } - - // if preventDefault exists run it on the original event - if (e.preventDefault) { - e.preventDefault(); - } - }, - stopPropagation: function stopPropagation() { - this.isPropagationStopped = returnTrue; - var e = this.originalEvent; - if (!e) { - return; - } - - // if stopPropagation exists run it on the original event - if (e.stopPropagation) { - e.stopPropagation(); - } - }, - stopImmediatePropagation: function stopImmediatePropagation() { - this.isImmediatePropagationStopped = returnTrue; - this.stopPropagation(); - }, - isDefaultPrevented: returnFalse, - isPropagationStopped: returnFalse, - isImmediatePropagationStopped: returnFalse - }; - - var eventRegex = /^([^.]+)(\.(?:[^.]+))?$/; // regex for matching event strings (e.g. "click.namespace") - var universalNamespace = '.*'; // matches as if no namespace specified and prevents users from unbinding accidentally - - var defaults$8 = { - qualifierCompare: function qualifierCompare(q1, q2) { - return q1 === q2; - }, - eventMatches: function eventMatches( /*context, listener, eventObj*/ - ) { - return true; - }, - addEventFields: function addEventFields( /*context, evt*/ - ) {}, - callbackContext: function callbackContext(context /*, listener, eventObj*/) { - return context; - }, - beforeEmit: function beforeEmit( /* context, listener, eventObj */ - ) {}, - afterEmit: function afterEmit( /* context, listener, eventObj */ - ) {}, - bubble: function bubble( /*context*/ - ) { - return false; - }, - parent: function parent( /*context*/ - ) { - return null; - }, - context: null - }; - var defaultsKeys = Object.keys(defaults$8); - var emptyOpts = {}; - function Emitter() { - var opts = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : emptyOpts; - var context = arguments.length > 1 ? arguments[1] : undefined; - // micro-optimisation vs Object.assign() -- reduces Element instantiation time - for (var i = 0; i < defaultsKeys.length; i++) { - var key = defaultsKeys[i]; - this[key] = opts[key] || defaults$8[key]; - } - this.context = context || this.context; - this.listeners = []; - this.emitting = 0; - } - var p = Emitter.prototype; - var forEachEvent = function forEachEvent(self, handler, events, qualifier, callback, conf, confOverrides) { - if (fn$6(qualifier)) { - callback = qualifier; - qualifier = null; - } - if (confOverrides) { - if (conf == null) { - conf = confOverrides; - } else { - conf = extend({}, conf, confOverrides); - } - } - var eventList = array(events) ? events : events.split(/\s+/); - for (var i = 0; i < eventList.length; i++) { - var evt = eventList[i]; - if (emptyString(evt)) { - continue; - } - var match = evt.match(eventRegex); // type[.namespace] - - if (match) { - var type = match[1]; - var namespace = match[2] ? match[2] : null; - var ret = handler(self, evt, type, namespace, qualifier, callback, conf); - if (ret === false) { - break; - } // allow exiting early - } - } - }; - - var makeEventObj = function makeEventObj(self, obj) { - self.addEventFields(self.context, obj); - return new Event(obj.type, obj); - }; - var forEachEventObj = function forEachEventObj(self, handler, events) { - if (event(events)) { - handler(self, events); - return; - } else if (plainObject(events)) { - handler(self, makeEventObj(self, events)); - return; - } - var eventList = array(events) ? events : events.split(/\s+/); - for (var i = 0; i < eventList.length; i++) { - var evt = eventList[i]; - if (emptyString(evt)) { - continue; - } - var match = evt.match(eventRegex); // type[.namespace] - - if (match) { - var type = match[1]; - var namespace = match[2] ? match[2] : null; - var eventObj = makeEventObj(self, { - type: type, - namespace: namespace, - target: self.context - }); - handler(self, eventObj); - } - } - }; - p.on = p.addListener = function (events, qualifier, callback, conf, confOverrides) { - forEachEvent(this, function (self, event, type, namespace, qualifier, callback, conf) { - if (fn$6(callback)) { - self.listeners.push({ - event: event, - // full event string - callback: callback, - // callback to run - type: type, - // the event type (e.g. 'click') - namespace: namespace, - // the event namespace (e.g. ".foo") - qualifier: qualifier, - // a restriction on whether to match this emitter - conf: conf // additional configuration - }); - } - }, events, qualifier, callback, conf, confOverrides); - return this; - }; - p.one = function (events, qualifier, callback, conf) { - return this.on(events, qualifier, callback, conf, { - one: true - }); - }; - p.removeListener = p.off = function (events, qualifier, callback, conf) { - var _this = this; - if (this.emitting !== 0) { - this.listeners = copyArray$1(this.listeners); - } - var listeners = this.listeners; - var _loop = function _loop(i) { - var listener = listeners[i]; - forEachEvent(_this, function (self, event, type, namespace, qualifier, callback /*, conf*/) { - if ((listener.type === type || events === '*') && (!namespace && listener.namespace !== '.*' || listener.namespace === namespace) && (!qualifier || self.qualifierCompare(listener.qualifier, qualifier)) && (!callback || listener.callback === callback)) { - listeners.splice(i, 1); - return false; - } - }, events, qualifier, callback, conf); - }; - for (var i = listeners.length - 1; i >= 0; i--) { - _loop(i); - } - return this; - }; - p.removeAllListeners = function () { - return this.removeListener('*'); - }; - p.emit = p.trigger = function (events, extraParams, manualCallback) { - var listeners = this.listeners; - var numListenersBeforeEmit = listeners.length; - this.emitting++; - if (!array(extraParams)) { - extraParams = [extraParams]; - } - forEachEventObj(this, function (self, eventObj) { - if (manualCallback != null) { - listeners = [{ - event: eventObj.event, - type: eventObj.type, - namespace: eventObj.namespace, - callback: manualCallback - }]; - numListenersBeforeEmit = listeners.length; - } - var _loop2 = function _loop2(i) { - var listener = listeners[i]; - if (listener.type === eventObj.type && (!listener.namespace || listener.namespace === eventObj.namespace || listener.namespace === universalNamespace) && self.eventMatches(self.context, listener, eventObj)) { - var args = [eventObj]; - if (extraParams != null) { - push(args, extraParams); - } - self.beforeEmit(self.context, listener, eventObj); - if (listener.conf && listener.conf.one) { - self.listeners = self.listeners.filter(function (l) { - return l !== listener; - }); - } - var context = self.callbackContext(self.context, listener, eventObj); - var ret = listener.callback.apply(context, args); - self.afterEmit(self.context, listener, eventObj); - if (ret === false) { - eventObj.stopPropagation(); - eventObj.preventDefault(); - } - } // if listener matches - }; - for (var i = 0; i < numListenersBeforeEmit; i++) { - _loop2(i); - } // for listener - - if (self.bubble(self.context) && !eventObj.isPropagationStopped()) { - self.parent(self.context).emit(eventObj, extraParams); - } - }, events); - this.emitting--; - return this; - }; - - var emitterOptions$1 = { - qualifierCompare: function qualifierCompare(selector1, selector2) { - if (selector1 == null || selector2 == null) { - return selector1 == null && selector2 == null; - } else { - return selector1.sameText(selector2); - } - }, - eventMatches: function eventMatches(ele, listener, eventObj) { - var selector = listener.qualifier; - if (selector != null) { - return ele !== eventObj.target && element(eventObj.target) && selector.matches(eventObj.target); - } - return true; - }, - addEventFields: function addEventFields(ele, evt) { - evt.cy = ele.cy(); - evt.target = ele; - }, - callbackContext: function callbackContext(ele, listener, eventObj) { - return listener.qualifier != null ? eventObj.target : ele; - }, - beforeEmit: function beforeEmit(context, listener /*, eventObj*/) { - if (listener.conf && listener.conf.once) { - listener.conf.onceCollection.removeListener(listener.event, listener.qualifier, listener.callback); - } - }, - bubble: function bubble() { - return true; - }, - parent: function parent(ele) { - return ele.isChild() ? ele.parent() : ele.cy(); - } - }; - var argSelector$1 = function argSelector(arg) { - if (string(arg)) { - return new Selector(arg); - } else { - return arg; - } - }; - var elesfn$9 = { - createEmitter: function createEmitter() { - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var _p = ele._private; - if (!_p.emitter) { - _p.emitter = new Emitter(emitterOptions$1, ele); - } - } - return this; - }, - emitter: function emitter() { - return this._private.emitter; - }, - on: function on(events, selector, callback) { - var argSel = argSelector$1(selector); - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - ele.emitter().on(events, argSel, callback); - } - return this; - }, - removeListener: function removeListener(events, selector, callback) { - var argSel = argSelector$1(selector); - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - ele.emitter().removeListener(events, argSel, callback); - } - return this; - }, - removeAllListeners: function removeAllListeners() { - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - ele.emitter().removeAllListeners(); - } - return this; - }, - one: function one(events, selector, callback) { - var argSel = argSelector$1(selector); - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - ele.emitter().one(events, argSel, callback); - } - return this; - }, - once: function once(events, selector, callback) { - var argSel = argSelector$1(selector); - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - ele.emitter().on(events, argSel, callback, { - once: true, - onceCollection: this - }); - } - }, - emit: function emit(events, extraParams) { - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - ele.emitter().emit(events, extraParams); - } - return this; - }, - emitAndNotify: function emitAndNotify(event, extraParams) { - // for internal use only - if (this.length === 0) { - return; - } // empty collections don't need to notify anything - - // notify renderer - this.cy().notify(event, this); - this.emit(event, extraParams); - return this; - } - }; - define.eventAliasesOn(elesfn$9); - - var elesfn$8 = { - nodes: function nodes(selector) { - return this.filter(function (ele) { - return ele.isNode(); - }).filter(selector); - }, - edges: function edges(selector) { - return this.filter(function (ele) { - return ele.isEdge(); - }).filter(selector); - }, - // internal helper to get nodes and edges as separate collections with single iteration over elements - byGroup: function byGroup() { - var nodes = this.spawn(); - var edges = this.spawn(); - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - if (ele.isNode()) { - nodes.push(ele); - } else { - edges.push(ele); - } - } - return { - nodes: nodes, - edges: edges - }; - }, - filter: function filter(_filter, thisArg) { - if (_filter === undefined) { - // check this first b/c it's the most common/performant case - return this; - } else if (string(_filter) || elementOrCollection(_filter)) { - return new Selector(_filter).filter(this); - } else if (fn$6(_filter)) { - var filterEles = this.spawn(); - var eles = this; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var include = thisArg ? _filter.apply(thisArg, [ele, i, eles]) : _filter(ele, i, eles); - if (include) { - filterEles.push(ele); - } - } - return filterEles; - } - return this.spawn(); // if not handled by above, give 'em an empty collection - }, - - not: function not(toRemove) { - if (!toRemove) { - return this; - } else { - if (string(toRemove)) { - toRemove = this.filter(toRemove); - } - var elements = this.spawn(); - for (var i = 0; i < this.length; i++) { - var element = this[i]; - var remove = toRemove.has(element); - if (!remove) { - elements.push(element); - } - } - return elements; - } - }, - absoluteComplement: function absoluteComplement() { - var cy = this.cy(); - return cy.mutableElements().not(this); - }, - intersect: function intersect(other) { - // if a selector is specified, then filter by it instead - if (string(other)) { - var selector = other; - return this.filter(selector); - } - var elements = this.spawn(); - var col1 = this; - var col2 = other; - var col1Smaller = this.length < other.length; - var colS = col1Smaller ? col1 : col2; - var colL = col1Smaller ? col2 : col1; - for (var i = 0; i < colS.length; i++) { - var ele = colS[i]; - if (colL.has(ele)) { - elements.push(ele); - } - } - return elements; - }, - xor: function xor(other) { - var cy = this._private.cy; - if (string(other)) { - other = cy.$(other); - } - var elements = this.spawn(); - var col1 = this; - var col2 = other; - var add = function add(col, other) { - for (var i = 0; i < col.length; i++) { - var ele = col[i]; - var id = ele._private.data.id; - var inOther = other.hasElementWithId(id); - if (!inOther) { - elements.push(ele); - } - } - }; - add(col1, col2); - add(col2, col1); - return elements; - }, - diff: function diff(other) { - var cy = this._private.cy; - if (string(other)) { - other = cy.$(other); - } - var left = this.spawn(); - var right = this.spawn(); - var both = this.spawn(); - var col1 = this; - var col2 = other; - var add = function add(col, other, retEles) { - for (var i = 0; i < col.length; i++) { - var ele = col[i]; - var id = ele._private.data.id; - var inOther = other.hasElementWithId(id); - if (inOther) { - both.merge(ele); - } else { - retEles.push(ele); - } - } - }; - add(col1, col2, left); - add(col2, col1, right); - return { - left: left, - right: right, - both: both - }; - }, - add: function add(toAdd) { - var cy = this._private.cy; - if (!toAdd) { - return this; - } - if (string(toAdd)) { - var selector = toAdd; - toAdd = cy.mutableElements().filter(selector); - } - var elements = this.spawnSelf(); - for (var i = 0; i < toAdd.length; i++) { - var ele = toAdd[i]; - var add = !this.has(ele); - if (add) { - elements.push(ele); - } - } - return elements; - }, - // in place merge on calling collection - merge: function merge(toAdd) { - var _p = this._private; - var cy = _p.cy; - if (!toAdd) { - return this; - } - if (toAdd && string(toAdd)) { - var selector = toAdd; - toAdd = cy.mutableElements().filter(selector); - } - var map = _p.map; - for (var i = 0; i < toAdd.length; i++) { - var toAddEle = toAdd[i]; - var id = toAddEle._private.data.id; - var add = !map.has(id); - if (add) { - var index = this.length++; - this[index] = toAddEle; - map.set(id, { - ele: toAddEle, - index: index - }); - } - } - return this; // chaining - }, - - unmergeAt: function unmergeAt(i) { - var ele = this[i]; - var id = ele.id(); - var _p = this._private; - var map = _p.map; - - // remove ele - this[i] = undefined; - map["delete"](id); - var unmergedLastEle = i === this.length - 1; - - // replace empty spot with last ele in collection - if (this.length > 1 && !unmergedLastEle) { - var lastEleI = this.length - 1; - var lastEle = this[lastEleI]; - var lastEleId = lastEle._private.data.id; - this[lastEleI] = undefined; - this[i] = lastEle; - map.set(lastEleId, { - ele: lastEle, - index: i - }); - } - - // the collection is now 1 ele smaller - this.length--; - return this; - }, - // remove single ele in place in calling collection - unmergeOne: function unmergeOne(ele) { - ele = ele[0]; - var _p = this._private; - var id = ele._private.data.id; - var map = _p.map; - var entry = map.get(id); - if (!entry) { - return this; // no need to remove - } - - var i = entry.index; - this.unmergeAt(i); - return this; - }, - // remove eles in place on calling collection - unmerge: function unmerge(toRemove) { - var cy = this._private.cy; - if (!toRemove) { - return this; - } - if (toRemove && string(toRemove)) { - var selector = toRemove; - toRemove = cy.mutableElements().filter(selector); - } - for (var i = 0; i < toRemove.length; i++) { - this.unmergeOne(toRemove[i]); - } - return this; // chaining - }, - - unmergeBy: function unmergeBy(toRmFn) { - for (var i = this.length - 1; i >= 0; i--) { - var ele = this[i]; - if (toRmFn(ele)) { - this.unmergeAt(i); - } - } - return this; - }, - map: function map(mapFn, thisArg) { - var arr = []; - var eles = this; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var ret = thisArg ? mapFn.apply(thisArg, [ele, i, eles]) : mapFn(ele, i, eles); - arr.push(ret); - } - return arr; - }, - reduce: function reduce(fn, initialValue) { - var val = initialValue; - var eles = this; - for (var i = 0; i < eles.length; i++) { - val = fn(val, eles[i], i, eles); - } - return val; - }, - max: function max(valFn, thisArg) { - var max = -Infinity; - var maxEle; - var eles = this; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var val = thisArg ? valFn.apply(thisArg, [ele, i, eles]) : valFn(ele, i, eles); - if (val > max) { - max = val; - maxEle = ele; - } - } - return { - value: max, - ele: maxEle - }; - }, - min: function min(valFn, thisArg) { - var min = Infinity; - var minEle; - var eles = this; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var val = thisArg ? valFn.apply(thisArg, [ele, i, eles]) : valFn(ele, i, eles); - if (val < min) { - min = val; - minEle = ele; - } - } - return { - value: min, - ele: minEle - }; - } - }; - - // aliases - var fn$1 = elesfn$8; - fn$1['u'] = fn$1['|'] = fn$1['+'] = fn$1.union = fn$1.or = fn$1.add; - fn$1['\\'] = fn$1['!'] = fn$1['-'] = fn$1.difference = fn$1.relativeComplement = fn$1.subtract = fn$1.not; - fn$1['n'] = fn$1['&'] = fn$1['.'] = fn$1.and = fn$1.intersection = fn$1.intersect; - fn$1['^'] = fn$1['(+)'] = fn$1['(-)'] = fn$1.symmetricDifference = fn$1.symdiff = fn$1.xor; - fn$1.fnFilter = fn$1.filterFn = fn$1.stdFilter = fn$1.filter; - fn$1.complement = fn$1.abscomp = fn$1.absoluteComplement; - - var elesfn$7 = { - isNode: function isNode() { - return this.group() === 'nodes'; - }, - isEdge: function isEdge() { - return this.group() === 'edges'; - }, - isLoop: function isLoop() { - return this.isEdge() && this.source()[0] === this.target()[0]; - }, - isSimple: function isSimple() { - return this.isEdge() && this.source()[0] !== this.target()[0]; - }, - group: function group() { - var ele = this[0]; - if (ele) { - return ele._private.group; - } - } - }; - - /** - * Elements are drawn in a specific order based on compound depth (low to high), the element type (nodes above edges), - * and z-index (low to high). These styles affect how this applies: - * - * z-compound-depth: May be `bottom | orphan | auto | top`. The first drawn is `bottom`, then `orphan` which is the - * same depth as the root of the compound graph, followed by the default value `auto` which draws in order from - * root to leaves of the compound graph. The last drawn is `top`. - * z-index-compare: May be `auto | manual`. The default value is `auto` which always draws edges under nodes. - * `manual` ignores this convention and draws based on the `z-index` value setting. - * z-index: An integer value that affects the relative draw order of elements. In general, an element with a higher - * `z-index` will be drawn on top of an element with a lower `z-index`. - */ - var zIndexSort = function zIndexSort(a, b) { - var cy = a.cy(); - var hasCompoundNodes = cy.hasCompoundNodes(); - function getDepth(ele) { - var style = ele.pstyle('z-compound-depth'); - if (style.value === 'auto') { - return hasCompoundNodes ? ele.zDepth() : 0; - } else if (style.value === 'bottom') { - return -1; - } else if (style.value === 'top') { - return MAX_INT$1; - } - // 'orphan' - return 0; - } - var depthDiff = getDepth(a) - getDepth(b); - if (depthDiff !== 0) { - return depthDiff; - } - function getEleDepth(ele) { - var style = ele.pstyle('z-index-compare'); - if (style.value === 'auto') { - return ele.isNode() ? 1 : 0; - } - // 'manual' - return 0; - } - var eleDiff = getEleDepth(a) - getEleDepth(b); - if (eleDiff !== 0) { - return eleDiff; - } - var zDiff = a.pstyle('z-index').value - b.pstyle('z-index').value; - if (zDiff !== 0) { - return zDiff; - } - // compare indices in the core (order added to graph w/ last on top) - return a.poolIndex() - b.poolIndex(); - }; - - var elesfn$6 = { - forEach: function forEach(fn, thisArg) { - if (fn$6(fn)) { - var N = this.length; - for (var i = 0; i < N; i++) { - var ele = this[i]; - var ret = thisArg ? fn.apply(thisArg, [ele, i, this]) : fn(ele, i, this); - if (ret === false) { - break; - } // exit each early on return false - } - } - - return this; - }, - toArray: function toArray() { - var array = []; - for (var i = 0; i < this.length; i++) { - array.push(this[i]); - } - return array; - }, - slice: function slice(start, end) { - var array = []; - var thisSize = this.length; - if (end == null) { - end = thisSize; - } - if (start == null) { - start = 0; - } - if (start < 0) { - start = thisSize + start; - } - if (end < 0) { - end = thisSize + end; - } - for (var i = start; i >= 0 && i < end && i < thisSize; i++) { - array.push(this[i]); - } - return this.spawn(array); - }, - size: function size() { - return this.length; - }, - eq: function eq(i) { - return this[i] || this.spawn(); - }, - first: function first() { - return this[0] || this.spawn(); - }, - last: function last() { - return this[this.length - 1] || this.spawn(); - }, - empty: function empty() { - return this.length === 0; - }, - nonempty: function nonempty() { - return !this.empty(); - }, - sort: function sort(sortFn) { - if (!fn$6(sortFn)) { - return this; - } - var sorted = this.toArray().sort(sortFn); - return this.spawn(sorted); - }, - sortByZIndex: function sortByZIndex() { - return this.sort(zIndexSort); - }, - zDepth: function zDepth() { - var ele = this[0]; - if (!ele) { - return undefined; - } - - // let cy = ele.cy(); - var _p = ele._private; - var group = _p.group; - if (group === 'nodes') { - var depth = _p.data.parent ? ele.parents().size() : 0; - if (!ele.isParent()) { - return MAX_INT$1 - 1; // childless nodes always on top - } - - return depth; - } else { - var src = _p.source; - var tgt = _p.target; - var srcDepth = src.zDepth(); - var tgtDepth = tgt.zDepth(); - return Math.max(srcDepth, tgtDepth, 0); // depth of deepest parent - } - } - }; - - elesfn$6.each = elesfn$6.forEach; - var defineSymbolIterator = function defineSymbolIterator() { - var typeofUndef = "undefined" ; - var isIteratorSupported = (typeof Symbol === "undefined" ? "undefined" : _typeof(Symbol)) != typeofUndef && _typeof(Symbol.iterator) != typeofUndef; // eslint-disable-line no-undef - - if (isIteratorSupported) { - elesfn$6[Symbol.iterator] = function () { - var _this = this; - // eslint-disable-line no-undef - var entry = { - value: undefined, - done: false - }; - var i = 0; - var length = this.length; - return _defineProperty$1({ - next: function next() { - if (i < length) { - entry.value = _this[i++]; - } else { - entry.value = undefined; - entry.done = true; - } - return entry; - } - }, Symbol.iterator, function () { - // eslint-disable-line no-undef - return this; - }); - }; - } - }; - defineSymbolIterator(); - - var getLayoutDimensionOptions = defaults$g({ - nodeDimensionsIncludeLabels: false - }); - var elesfn$5 = { - // Calculates and returns node dimensions { x, y } based on options given - layoutDimensions: function layoutDimensions(options) { - options = getLayoutDimensionOptions(options); - var dims; - if (!this.takesUpSpace()) { - dims = { - w: 0, - h: 0 - }; - } else if (options.nodeDimensionsIncludeLabels) { - var bbDim = this.boundingBox(); - dims = { - w: bbDim.w, - h: bbDim.h - }; - } else { - dims = { - w: this.outerWidth(), - h: this.outerHeight() - }; - } - - // sanitise the dimensions for external layouts (avoid division by zero) - if (dims.w === 0 || dims.h === 0) { - dims.w = dims.h = 1; - } - return dims; - }, - // using standard layout options, apply position function (w/ or w/o animation) - layoutPositions: function layoutPositions(layout, options, fn) { - var nodes = this.nodes().filter(function (n) { - return !n.isParent(); - }); - var cy = this.cy(); - var layoutEles = options.eles; // nodes & edges - var getMemoizeKey = function getMemoizeKey(node) { - return node.id(); - }; - var fnMem = memoize$1(fn, getMemoizeKey); // memoized version of position function - - layout.emit({ - type: 'layoutstart', - layout: layout - }); - layout.animations = []; - var calculateSpacing = function calculateSpacing(spacing, nodesBb, pos) { - var center = { - x: nodesBb.x1 + nodesBb.w / 2, - y: nodesBb.y1 + nodesBb.h / 2 - }; - var spacingVector = { - // scale from center of bounding box (not necessarily 0,0) - x: (pos.x - center.x) * spacing, - y: (pos.y - center.y) * spacing - }; - return { - x: center.x + spacingVector.x, - y: center.y + spacingVector.y - }; - }; - var useSpacingFactor = options.spacingFactor && options.spacingFactor !== 1; - var spacingBb = function spacingBb() { - if (!useSpacingFactor) { - return null; - } - var bb = makeBoundingBox(); - for (var i = 0; i < nodes.length; i++) { - var node = nodes[i]; - var pos = fnMem(node, i); - expandBoundingBoxByPoint(bb, pos.x, pos.y); - } - return bb; - }; - var bb = spacingBb(); - var getFinalPos = memoize$1(function (node, i) { - var newPos = fnMem(node, i); - if (useSpacingFactor) { - var spacing = Math.abs(options.spacingFactor); - newPos = calculateSpacing(spacing, bb, newPos); - } - if (options.transform != null) { - newPos = options.transform(node, newPos); - } - return newPos; - }, getMemoizeKey); - if (options.animate) { - for (var i = 0; i < nodes.length; i++) { - var node = nodes[i]; - var newPos = getFinalPos(node, i); - var animateNode = options.animateFilter == null || options.animateFilter(node, i); - if (animateNode) { - var ani = node.animation({ - position: newPos, - duration: options.animationDuration, - easing: options.animationEasing - }); - layout.animations.push(ani); - } else { - node.position(newPos); - } - } - if (options.fit) { - var fitAni = cy.animation({ - fit: { - boundingBox: layoutEles.boundingBoxAt(getFinalPos), - padding: options.padding - }, - duration: options.animationDuration, - easing: options.animationEasing - }); - layout.animations.push(fitAni); - } else if (options.zoom !== undefined && options.pan !== undefined) { - var zoomPanAni = cy.animation({ - zoom: options.zoom, - pan: options.pan, - duration: options.animationDuration, - easing: options.animationEasing - }); - layout.animations.push(zoomPanAni); - } - layout.animations.forEach(function (ani) { - return ani.play(); - }); - layout.one('layoutready', options.ready); - layout.emit({ - type: 'layoutready', - layout: layout - }); - Promise$1.all(layout.animations.map(function (ani) { - return ani.promise(); - })).then(function () { - layout.one('layoutstop', options.stop); - layout.emit({ - type: 'layoutstop', - layout: layout - }); - }); - } else { - nodes.positions(getFinalPos); - if (options.fit) { - cy.fit(options.eles, options.padding); - } - if (options.zoom != null) { - cy.zoom(options.zoom); - } - if (options.pan) { - cy.pan(options.pan); - } - layout.one('layoutready', options.ready); - layout.emit({ - type: 'layoutready', - layout: layout - }); - layout.one('layoutstop', options.stop); - layout.emit({ - type: 'layoutstop', - layout: layout - }); - } - return this; // chaining - }, - - layout: function layout(options) { - var cy = this.cy(); - return cy.makeLayout(extend({}, options, { - eles: this - })); - } - }; - - // aliases: - elesfn$5.createLayout = elesfn$5.makeLayout = elesfn$5.layout; - - function styleCache(key, fn, ele) { - var _p = ele._private; - var cache = _p.styleCache = _p.styleCache || []; - var val; - if ((val = cache[key]) != null) { - return val; - } else { - val = cache[key] = fn(ele); - return val; - } - } - function cacheStyleFunction(key, fn) { - key = hashString(key); - return function cachedStyleFunction(ele) { - return styleCache(key, fn, ele); - }; - } - function cachePrototypeStyleFunction(key, fn) { - key = hashString(key); - var selfFn = function selfFn(ele) { - return fn.call(ele); - }; - return function cachedPrototypeStyleFunction() { - var ele = this[0]; - if (ele) { - return styleCache(key, selfFn, ele); - } - }; - } - var elesfn$4 = { - recalculateRenderedStyle: function recalculateRenderedStyle(useCache) { - var cy = this.cy(); - var renderer = cy.renderer(); - var styleEnabled = cy.styleEnabled(); - if (renderer && styleEnabled) { - renderer.recalculateRenderedStyle(this, useCache); - } - return this; - }, - dirtyStyleCache: function dirtyStyleCache() { - var cy = this.cy(); - var dirty = function dirty(ele) { - return ele._private.styleCache = null; - }; - if (cy.hasCompoundNodes()) { - var eles; - eles = this.spawnSelf().merge(this.descendants()).merge(this.parents()); - eles.merge(eles.connectedEdges()); - eles.forEach(dirty); - } else { - this.forEach(function (ele) { - dirty(ele); - ele.connectedEdges().forEach(dirty); - }); - } - return this; - }, - // fully updates (recalculates) the style for the elements - updateStyle: function updateStyle(notifyRenderer) { - var cy = this._private.cy; - if (!cy.styleEnabled()) { - return this; - } - if (cy.batching()) { - var bEles = cy._private.batchStyleEles; - bEles.merge(this); - return this; // chaining and exit early when batching - } - - var hasCompounds = cy.hasCompoundNodes(); - var updatedEles = this; - notifyRenderer = notifyRenderer || notifyRenderer === undefined ? true : false; - if (hasCompounds) { - // then add everything up and down for compound selector checks - updatedEles = this.spawnSelf().merge(this.descendants()).merge(this.parents()); - } - - // let changedEles = style.apply( updatedEles ); - var changedEles = updatedEles; - if (notifyRenderer) { - changedEles.emitAndNotify('style'); // let renderer know we changed style - } else { - changedEles.emit('style'); // just fire the event - } - - updatedEles.forEach(function (ele) { - return ele._private.styleDirty = true; - }); - return this; // chaining - }, - - // private: clears dirty flag and recalculates style - cleanStyle: function cleanStyle() { - var cy = this.cy(); - if (!cy.styleEnabled()) { - return; - } - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - if (ele._private.styleDirty) { - // n.b. this flag should be set before apply() to avoid potential infinite recursion - ele._private.styleDirty = false; - cy.style().apply(ele); - } - } - }, - // get the internal parsed style object for the specified property - parsedStyle: function parsedStyle(property) { - var includeNonDefault = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; - var ele = this[0]; - var cy = ele.cy(); - if (!cy.styleEnabled()) { - return; - } - if (ele) { - this.cleanStyle(); - var overriddenStyle = ele._private.style[property]; - if (overriddenStyle != null) { - return overriddenStyle; - } else if (includeNonDefault) { - return cy.style().getDefaultProperty(property); - } else { - return null; - } - } - }, - numericStyle: function numericStyle(property) { - var ele = this[0]; - if (!ele.cy().styleEnabled()) { - return; - } - if (ele) { - var pstyle = ele.pstyle(property); - return pstyle.pfValue !== undefined ? pstyle.pfValue : pstyle.value; - } - }, - numericStyleUnits: function numericStyleUnits(property) { - var ele = this[0]; - if (!ele.cy().styleEnabled()) { - return; - } - if (ele) { - return ele.pstyle(property).units; - } - }, - // get the specified css property as a rendered value (i.e. on-screen value) - // or get the whole rendered style if no property specified (NB doesn't allow setting) - renderedStyle: function renderedStyle(property) { - var cy = this.cy(); - if (!cy.styleEnabled()) { - return this; - } - var ele = this[0]; - if (ele) { - return cy.style().getRenderedStyle(ele, property); - } - }, - // read the calculated css style of the element or override the style (via a bypass) - style: function style(name, value) { - var cy = this.cy(); - if (!cy.styleEnabled()) { - return this; - } - var updateTransitions = false; - var style = cy.style(); - if (plainObject(name)) { - // then extend the bypass - var props = name; - style.applyBypass(this, props, updateTransitions); - this.emitAndNotify('style'); // let the renderer know we've updated style - } else if (string(name)) { - if (value === undefined) { - // then get the property from the style - var ele = this[0]; - if (ele) { - return style.getStylePropertyValue(ele, name); - } else { - // empty collection => can't get any value - return; - } - } else { - // then set the bypass with the property value - style.applyBypass(this, name, value, updateTransitions); - this.emitAndNotify('style'); // let the renderer know we've updated style - } - } else if (name === undefined) { - var _ele = this[0]; - if (_ele) { - return style.getRawStyle(_ele); - } else { - // empty collection => can't get any value - return; - } - } - return this; // chaining - }, - - removeStyle: function removeStyle(names) { - var cy = this.cy(); - if (!cy.styleEnabled()) { - return this; - } - var updateTransitions = false; - var style = cy.style(); - var eles = this; - if (names === undefined) { - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - style.removeAllBypasses(ele, updateTransitions); - } - } else { - names = names.split(/\s+/); - for (var _i = 0; _i < eles.length; _i++) { - var _ele2 = eles[_i]; - style.removeBypasses(_ele2, names, updateTransitions); - } - } - this.emitAndNotify('style'); // let the renderer know we've updated style - - return this; // chaining - }, - - show: function show() { - this.css('display', 'element'); - return this; // chaining - }, - - hide: function hide() { - this.css('display', 'none'); - return this; // chaining - }, - - effectiveOpacity: function effectiveOpacity() { - var cy = this.cy(); - if (!cy.styleEnabled()) { - return 1; - } - var hasCompoundNodes = cy.hasCompoundNodes(); - var ele = this[0]; - if (ele) { - var _p = ele._private; - var parentOpacity = ele.pstyle('opacity').value; - if (!hasCompoundNodes) { - return parentOpacity; - } - var parents = !_p.data.parent ? null : ele.parents(); - if (parents) { - for (var i = 0; i < parents.length; i++) { - var parent = parents[i]; - var opacity = parent.pstyle('opacity').value; - parentOpacity = opacity * parentOpacity; - } - } - return parentOpacity; - } - }, - transparent: function transparent() { - var cy = this.cy(); - if (!cy.styleEnabled()) { - return false; - } - var ele = this[0]; - var hasCompoundNodes = ele.cy().hasCompoundNodes(); - if (ele) { - if (!hasCompoundNodes) { - return ele.pstyle('opacity').value === 0; - } else { - return ele.effectiveOpacity() === 0; - } - } - }, - backgrounding: function backgrounding() { - var cy = this.cy(); - if (!cy.styleEnabled()) { - return false; - } - var ele = this[0]; - return ele._private.backgrounding ? true : false; - } - }; - function checkCompound(ele, parentOk) { - var _p = ele._private; - var parents = _p.data.parent ? ele.parents() : null; - if (parents) { - for (var i = 0; i < parents.length; i++) { - var parent = parents[i]; - if (!parentOk(parent)) { - return false; - } - } - } - return true; - } - function defineDerivedStateFunction(specs) { - var ok = specs.ok; - var edgeOkViaNode = specs.edgeOkViaNode || specs.ok; - var parentOk = specs.parentOk || specs.ok; - return function () { - var cy = this.cy(); - if (!cy.styleEnabled()) { - return true; - } - var ele = this[0]; - var hasCompoundNodes = cy.hasCompoundNodes(); - if (ele) { - var _p = ele._private; - if (!ok(ele)) { - return false; - } - if (ele.isNode()) { - return !hasCompoundNodes || checkCompound(ele, parentOk); - } else { - var src = _p.source; - var tgt = _p.target; - return edgeOkViaNode(src) && (!hasCompoundNodes || checkCompound(src, edgeOkViaNode)) && (src === tgt || edgeOkViaNode(tgt) && (!hasCompoundNodes || checkCompound(tgt, edgeOkViaNode))); - } - } - }; - } - var eleTakesUpSpace = cacheStyleFunction('eleTakesUpSpace', function (ele) { - return ele.pstyle('display').value === 'element' && ele.width() !== 0 && (ele.isNode() ? ele.height() !== 0 : true); - }); - elesfn$4.takesUpSpace = cachePrototypeStyleFunction('takesUpSpace', defineDerivedStateFunction({ - ok: eleTakesUpSpace - })); - var eleInteractive = cacheStyleFunction('eleInteractive', function (ele) { - return ele.pstyle('events').value === 'yes' && ele.pstyle('visibility').value === 'visible' && eleTakesUpSpace(ele); - }); - var parentInteractive = cacheStyleFunction('parentInteractive', function (parent) { - return parent.pstyle('visibility').value === 'visible' && eleTakesUpSpace(parent); - }); - elesfn$4.interactive = cachePrototypeStyleFunction('interactive', defineDerivedStateFunction({ - ok: eleInteractive, - parentOk: parentInteractive, - edgeOkViaNode: eleTakesUpSpace - })); - elesfn$4.noninteractive = function () { - var ele = this[0]; - if (ele) { - return !ele.interactive(); - } - }; - var eleVisible = cacheStyleFunction('eleVisible', function (ele) { - return ele.pstyle('visibility').value === 'visible' && ele.pstyle('opacity').pfValue !== 0 && eleTakesUpSpace(ele); - }); - var edgeVisibleViaNode = eleTakesUpSpace; - elesfn$4.visible = cachePrototypeStyleFunction('visible', defineDerivedStateFunction({ - ok: eleVisible, - edgeOkViaNode: edgeVisibleViaNode - })); - elesfn$4.hidden = function () { - var ele = this[0]; - if (ele) { - return !ele.visible(); - } - }; - elesfn$4.isBundledBezier = cachePrototypeStyleFunction('isBundledBezier', function () { - if (!this.cy().styleEnabled()) { - return false; - } - return !this.removed() && this.pstyle('curve-style').value === 'bezier' && this.takesUpSpace(); - }); - elesfn$4.bypass = elesfn$4.css = elesfn$4.style; - elesfn$4.renderedCss = elesfn$4.renderedStyle; - elesfn$4.removeBypass = elesfn$4.removeCss = elesfn$4.removeStyle; - elesfn$4.pstyle = elesfn$4.parsedStyle; - - var elesfn$3 = {}; - function defineSwitchFunction(params) { - return function () { - var args = arguments; - var changedEles = []; - - // e.g. cy.nodes().select( data, handler ) - if (args.length === 2) { - var data = args[0]; - var handler = args[1]; - this.on(params.event, data, handler); - } - - // e.g. cy.nodes().select( handler ) - else if (args.length === 1 && fn$6(args[0])) { - var _handler = args[0]; - this.on(params.event, _handler); - } - - // e.g. cy.nodes().select() - // e.g. (private) cy.nodes().select(['tapselect']) - else if (args.length === 0 || args.length === 1 && array(args[0])) { - var addlEvents = args.length === 1 ? args[0] : null; - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var able = !params.ableField || ele._private[params.ableField]; - var changed = ele._private[params.field] != params.value; - if (params.overrideAble) { - var overrideAble = params.overrideAble(ele); - if (overrideAble !== undefined) { - able = overrideAble; - if (!overrideAble) { - return this; - } // to save cycles assume not able for all on override - } - } - - if (able) { - ele._private[params.field] = params.value; - if (changed) { - changedEles.push(ele); - } - } - } - var changedColl = this.spawn(changedEles); - changedColl.updateStyle(); // change of state => possible change of style - changedColl.emit(params.event); - if (addlEvents) { - changedColl.emit(addlEvents); - } - } - return this; - }; - } - function defineSwitchSet(params) { - elesfn$3[params.field] = function () { - var ele = this[0]; - if (ele) { - if (params.overrideField) { - var val = params.overrideField(ele); - if (val !== undefined) { - return val; - } - } - return ele._private[params.field]; - } - }; - elesfn$3[params.on] = defineSwitchFunction({ - event: params.on, - field: params.field, - ableField: params.ableField, - overrideAble: params.overrideAble, - value: true - }); - elesfn$3[params.off] = defineSwitchFunction({ - event: params.off, - field: params.field, - ableField: params.ableField, - overrideAble: params.overrideAble, - value: false - }); - } - defineSwitchSet({ - field: 'locked', - overrideField: function overrideField(ele) { - return ele.cy().autolock() ? true : undefined; - }, - on: 'lock', - off: 'unlock' - }); - defineSwitchSet({ - field: 'grabbable', - overrideField: function overrideField(ele) { - return ele.cy().autoungrabify() || ele.pannable() ? false : undefined; - }, - on: 'grabify', - off: 'ungrabify' - }); - defineSwitchSet({ - field: 'selected', - ableField: 'selectable', - overrideAble: function overrideAble(ele) { - return ele.cy().autounselectify() ? false : undefined; - }, - on: 'select', - off: 'unselect' - }); - defineSwitchSet({ - field: 'selectable', - overrideField: function overrideField(ele) { - return ele.cy().autounselectify() ? false : undefined; - }, - on: 'selectify', - off: 'unselectify' - }); - elesfn$3.deselect = elesfn$3.unselect; - elesfn$3.grabbed = function () { - var ele = this[0]; - if (ele) { - return ele._private.grabbed; - } - }; - defineSwitchSet({ - field: 'active', - on: 'activate', - off: 'unactivate' - }); - defineSwitchSet({ - field: 'pannable', - on: 'panify', - off: 'unpanify' - }); - elesfn$3.inactive = function () { - var ele = this[0]; - if (ele) { - return !ele._private.active; - } - }; - - var elesfn$2 = {}; - - // DAG functions - //////////////// - - var defineDagExtremity = function defineDagExtremity(params) { - return function dagExtremityImpl(selector) { - var eles = this; - var ret = []; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - if (!ele.isNode()) { - continue; - } - var disqualified = false; - var edges = ele.connectedEdges(); - for (var j = 0; j < edges.length; j++) { - var edge = edges[j]; - var src = edge.source(); - var tgt = edge.target(); - if (params.noIncomingEdges && tgt === ele && src !== ele || params.noOutgoingEdges && src === ele && tgt !== ele) { - disqualified = true; - break; - } - } - if (!disqualified) { - ret.push(ele); - } - } - return this.spawn(ret, true).filter(selector); - }; - }; - var defineDagOneHop = function defineDagOneHop(params) { - return function (selector) { - var eles = this; - var oEles = []; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - if (!ele.isNode()) { - continue; - } - var edges = ele.connectedEdges(); - for (var j = 0; j < edges.length; j++) { - var edge = edges[j]; - var src = edge.source(); - var tgt = edge.target(); - if (params.outgoing && src === ele) { - oEles.push(edge); - oEles.push(tgt); - } else if (params.incoming && tgt === ele) { - oEles.push(edge); - oEles.push(src); - } - } - } - return this.spawn(oEles, true).filter(selector); - }; - }; - var defineDagAllHops = function defineDagAllHops(params) { - return function (selector) { - var eles = this; - var sEles = []; - var sElesIds = {}; - for (;;) { - var next = params.outgoing ? eles.outgoers() : eles.incomers(); - if (next.length === 0) { - break; - } // done if none left - - var newNext = false; - for (var i = 0; i < next.length; i++) { - var n = next[i]; - var nid = n.id(); - if (!sElesIds[nid]) { - sElesIds[nid] = true; - sEles.push(n); - newNext = true; - } - } - if (!newNext) { - break; - } // done if touched all outgoers already - - eles = next; - } - return this.spawn(sEles, true).filter(selector); - }; - }; - elesfn$2.clearTraversalCache = function () { - for (var i = 0; i < this.length; i++) { - this[i]._private.traversalCache = null; - } - }; - extend(elesfn$2, { - // get the root nodes in the DAG - roots: defineDagExtremity({ - noIncomingEdges: true - }), - // get the leaf nodes in the DAG - leaves: defineDagExtremity({ - noOutgoingEdges: true - }), - // normally called children in graph theory - // these nodes =edges=> outgoing nodes - outgoers: cache(defineDagOneHop({ - outgoing: true - }), 'outgoers'), - // aka DAG descendants - successors: defineDagAllHops({ - outgoing: true - }), - // normally called parents in graph theory - // these nodes <=edges= incoming nodes - incomers: cache(defineDagOneHop({ - incoming: true - }), 'incomers'), - // aka DAG ancestors - predecessors: defineDagAllHops({ - incoming: true - }) - }); - - // Neighbourhood functions - ////////////////////////// - - extend(elesfn$2, { - neighborhood: cache(function (selector) { - var elements = []; - var nodes = this.nodes(); - for (var i = 0; i < nodes.length; i++) { - // for all nodes - var node = nodes[i]; - var connectedEdges = node.connectedEdges(); - - // for each connected edge, add the edge and the other node - for (var j = 0; j < connectedEdges.length; j++) { - var edge = connectedEdges[j]; - var src = edge.source(); - var tgt = edge.target(); - var otherNode = node === src ? tgt : src; - - // need check in case of loop - if (otherNode.length > 0) { - elements.push(otherNode[0]); // add node 1 hop away - } - - // add connected edge - elements.push(edge[0]); - } - } - return this.spawn(elements, true).filter(selector); - }, 'neighborhood'), - closedNeighborhood: function closedNeighborhood(selector) { - return this.neighborhood().add(this).filter(selector); - }, - openNeighborhood: function openNeighborhood(selector) { - return this.neighborhood(selector); - } - }); - - // aliases - elesfn$2.neighbourhood = elesfn$2.neighborhood; - elesfn$2.closedNeighbourhood = elesfn$2.closedNeighborhood; - elesfn$2.openNeighbourhood = elesfn$2.openNeighborhood; - - // Edge functions - ///////////////// - - extend(elesfn$2, { - source: cache(function sourceImpl(selector) { - var ele = this[0]; - var src; - if (ele) { - src = ele._private.source || ele.cy().collection(); - } - return src && selector ? src.filter(selector) : src; - }, 'source'), - target: cache(function targetImpl(selector) { - var ele = this[0]; - var tgt; - if (ele) { - tgt = ele._private.target || ele.cy().collection(); - } - return tgt && selector ? tgt.filter(selector) : tgt; - }, 'target'), - sources: defineSourceFunction({ - attr: 'source' - }), - targets: defineSourceFunction({ - attr: 'target' - }) - }); - function defineSourceFunction(params) { - return function sourceImpl(selector) { - var sources = []; - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var src = ele._private[params.attr]; - if (src) { - sources.push(src); - } - } - return this.spawn(sources, true).filter(selector); - }; - } - extend(elesfn$2, { - edgesWith: cache(defineEdgesWithFunction(), 'edgesWith'), - edgesTo: cache(defineEdgesWithFunction({ - thisIsSrc: true - }), 'edgesTo') - }); - function defineEdgesWithFunction(params) { - return function edgesWithImpl(otherNodes) { - var elements = []; - var cy = this._private.cy; - var p = params || {}; - - // get elements if a selector is specified - if (string(otherNodes)) { - otherNodes = cy.$(otherNodes); - } - for (var h = 0; h < otherNodes.length; h++) { - var edges = otherNodes[h]._private.edges; - for (var i = 0; i < edges.length; i++) { - var edge = edges[i]; - var edgeData = edge._private.data; - var thisToOther = this.hasElementWithId(edgeData.source) && otherNodes.hasElementWithId(edgeData.target); - var otherToThis = otherNodes.hasElementWithId(edgeData.source) && this.hasElementWithId(edgeData.target); - var edgeConnectsThisAndOther = thisToOther || otherToThis; - if (!edgeConnectsThisAndOther) { - continue; - } - if (p.thisIsSrc || p.thisIsTgt) { - if (p.thisIsSrc && !thisToOther) { - continue; - } - if (p.thisIsTgt && !otherToThis) { - continue; - } - } - elements.push(edge); - } - } - return this.spawn(elements, true); - }; - } - extend(elesfn$2, { - connectedEdges: cache(function (selector) { - var retEles = []; - var eles = this; - for (var i = 0; i < eles.length; i++) { - var node = eles[i]; - if (!node.isNode()) { - continue; - } - var edges = node._private.edges; - for (var j = 0; j < edges.length; j++) { - var edge = edges[j]; - retEles.push(edge); - } - } - return this.spawn(retEles, true).filter(selector); - }, 'connectedEdges'), - connectedNodes: cache(function (selector) { - var retEles = []; - var eles = this; - for (var i = 0; i < eles.length; i++) { - var edge = eles[i]; - if (!edge.isEdge()) { - continue; - } - retEles.push(edge.source()[0]); - retEles.push(edge.target()[0]); - } - return this.spawn(retEles, true).filter(selector); - }, 'connectedNodes'), - parallelEdges: cache(defineParallelEdgesFunction(), 'parallelEdges'), - codirectedEdges: cache(defineParallelEdgesFunction({ - codirected: true - }), 'codirectedEdges') - }); - function defineParallelEdgesFunction(params) { - var defaults = { - codirected: false - }; - params = extend({}, defaults, params); - return function parallelEdgesImpl(selector) { - // micro-optimised for renderer - var elements = []; - var edges = this.edges(); - var p = params; - - // look at all the edges in the collection - for (var i = 0; i < edges.length; i++) { - var edge1 = edges[i]; - var edge1_p = edge1._private; - var src1 = edge1_p.source; - var srcid1 = src1._private.data.id; - var tgtid1 = edge1_p.data.target; - var srcEdges1 = src1._private.edges; - - // look at edges connected to the src node of this edge - for (var j = 0; j < srcEdges1.length; j++) { - var edge2 = srcEdges1[j]; - var edge2data = edge2._private.data; - var tgtid2 = edge2data.target; - var srcid2 = edge2data.source; - var codirected = tgtid2 === tgtid1 && srcid2 === srcid1; - var oppdirected = srcid1 === tgtid2 && tgtid1 === srcid2; - if (p.codirected && codirected || !p.codirected && (codirected || oppdirected)) { - elements.push(edge2); - } - } - } - return this.spawn(elements, true).filter(selector); - }; - } - - // Misc functions - ///////////////// - - extend(elesfn$2, { - components: function components(root) { - var self = this; - var cy = self.cy(); - var visited = cy.collection(); - var unvisited = root == null ? self.nodes() : root.nodes(); - var components = []; - if (root != null && unvisited.empty()) { - // root may contain only edges - unvisited = root.sources(); // doesn't matter which node to use (undirected), so just use the source sides - } - - var visitInComponent = function visitInComponent(node, component) { - visited.merge(node); - unvisited.unmerge(node); - component.merge(node); - }; - if (unvisited.empty()) { - return self.spawn(); - } - var _loop = function _loop() { - // each iteration yields a component - var cmpt = cy.collection(); - components.push(cmpt); - var root = unvisited[0]; - visitInComponent(root, cmpt); - self.bfs({ - directed: false, - roots: root, - visit: function visit(v) { - return visitInComponent(v, cmpt); - } - }); - cmpt.forEach(function (node) { - node.connectedEdges().forEach(function (e) { - // connectedEdges() usually cached - if (self.has(e) && cmpt.has(e.source()) && cmpt.has(e.target())) { - // has() is cheap - cmpt.merge(e); // forEach() only considers nodes -- sets N at call time - } - }); - }); - }; - do { - _loop(); - } while (unvisited.length > 0); - return components; - }, - component: function component() { - var ele = this[0]; - return ele.cy().mutableElements().components(ele)[0]; - } - }); - elesfn$2.componentsOf = elesfn$2.components; - - // represents a set of nodes, edges, or both together - var Collection = function Collection(cy, elements) { - var unique = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false; - var removed = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : false; - if (cy === undefined) { - error('A collection must have a reference to the core'); - return; - } - var map = new Map$2(); - var createdElements = false; - if (!elements) { - elements = []; - } else if (elements.length > 0 && plainObject(elements[0]) && !element(elements[0])) { - createdElements = true; - - // make elements from json and restore all at once later - var eles = []; - var elesIds = new Set$1(); - for (var i = 0, l = elements.length; i < l; i++) { - var json = elements[i]; - if (json.data == null) { - json.data = {}; - } - var _data = json.data; - - // make sure newly created elements have valid ids - if (_data.id == null) { - _data.id = uuid(); - } else if (cy.hasElementWithId(_data.id) || elesIds.has(_data.id)) { - continue; // can't create element if prior id already exists - } - - var ele = new Element(cy, json, false); - eles.push(ele); - elesIds.add(_data.id); - } - elements = eles; - } - this.length = 0; - for (var _i = 0, _l = elements.length; _i < _l; _i++) { - var element$1 = elements[_i][0]; // [0] in case elements is an array of collections, rather than array of elements - if (element$1 == null) { - continue; - } - var id = element$1._private.data.id; - if (!unique || !map.has(id)) { - if (unique) { - map.set(id, { - index: this.length, - ele: element$1 - }); - } - this[this.length] = element$1; - this.length++; - } - } - this._private = { - eles: this, - cy: cy, - get map() { - if (this.lazyMap == null) { - this.rebuildMap(); - } - return this.lazyMap; - }, - set map(m) { - this.lazyMap = m; - }, - rebuildMap: function rebuildMap() { - var m = this.lazyMap = new Map$2(); - var eles = this.eles; - for (var _i2 = 0; _i2 < eles.length; _i2++) { - var _ele = eles[_i2]; - m.set(_ele.id(), { - index: _i2, - ele: _ele - }); - } - } - }; - if (unique) { - this._private.map = map; - } - - // restore the elements if we created them from json - if (createdElements && !removed) { - this.restore(); - } - }; - - // Functions - //////////////////////////////////////////////////////////////////////////////////////////////////// - - // keep the prototypes in sync (an element has the same functions as a collection) - // and use elefn and elesfn as shorthands to the prototypes - var elesfn$1 = Element.prototype = Collection.prototype = Object.create(Array.prototype); - elesfn$1.instanceString = function () { - return 'collection'; - }; - elesfn$1.spawn = function (eles, unique) { - return new Collection(this.cy(), eles, unique); - }; - elesfn$1.spawnSelf = function () { - return this.spawn(this); - }; - elesfn$1.cy = function () { - return this._private.cy; - }; - elesfn$1.renderer = function () { - return this._private.cy.renderer(); - }; - elesfn$1.element = function () { - return this[0]; - }; - elesfn$1.collection = function () { - if (collection(this)) { - return this; - } else { - // an element - return new Collection(this._private.cy, [this]); - } - }; - elesfn$1.unique = function () { - return new Collection(this._private.cy, this, true); - }; - elesfn$1.hasElementWithId = function (id) { - id = '' + id; // id must be string - - return this._private.map.has(id); - }; - elesfn$1.getElementById = function (id) { - id = '' + id; // id must be string - - var cy = this._private.cy; - var entry = this._private.map.get(id); - return entry ? entry.ele : new Collection(cy); // get ele or empty collection - }; - - elesfn$1.$id = elesfn$1.getElementById; - elesfn$1.poolIndex = function () { - var cy = this._private.cy; - var eles = cy._private.elements; - var id = this[0]._private.data.id; - return eles._private.map.get(id).index; - }; - elesfn$1.indexOf = function (ele) { - var id = ele[0]._private.data.id; - return this._private.map.get(id).index; - }; - elesfn$1.indexOfId = function (id) { - id = '' + id; // id must be string - - return this._private.map.get(id).index; - }; - elesfn$1.json = function (obj) { - var ele = this.element(); - var cy = this.cy(); - if (ele == null && obj) { - return this; - } // can't set to no eles - - if (ele == null) { - return undefined; - } // can't get from no eles - - var p = ele._private; - if (plainObject(obj)) { - // set - - cy.startBatch(); - if (obj.data) { - ele.data(obj.data); - var _data2 = p.data; - if (ele.isEdge()) { - // source and target are immutable via data() - var move = false; - var spec = {}; - var src = obj.data.source; - var tgt = obj.data.target; - if (src != null && src != _data2.source) { - spec.source = '' + src; // id must be string - move = true; - } - if (tgt != null && tgt != _data2.target) { - spec.target = '' + tgt; // id must be string - move = true; - } - if (move) { - ele = ele.move(spec); - } - } else { - // parent is immutable via data() - var newParentValSpecd = ('parent' in obj.data); - var parent = obj.data.parent; - if (newParentValSpecd && (parent != null || _data2.parent != null) && parent != _data2.parent) { - if (parent === undefined) { - // can't set undefined imperatively, so use null - parent = null; - } - if (parent != null) { - parent = '' + parent; // id must be string - } - - ele = ele.move({ - parent: parent - }); - } - } - } - if (obj.position) { - ele.position(obj.position); - } - - // ignore group -- immutable - - var checkSwitch = function checkSwitch(k, trueFnName, falseFnName) { - var obj_k = obj[k]; - if (obj_k != null && obj_k !== p[k]) { - if (obj_k) { - ele[trueFnName](); - } else { - ele[falseFnName](); - } - } - }; - checkSwitch('removed', 'remove', 'restore'); - checkSwitch('selected', 'select', 'unselect'); - checkSwitch('selectable', 'selectify', 'unselectify'); - checkSwitch('locked', 'lock', 'unlock'); - checkSwitch('grabbable', 'grabify', 'ungrabify'); - checkSwitch('pannable', 'panify', 'unpanify'); - if (obj.classes != null) { - ele.classes(obj.classes); - } - cy.endBatch(); - return this; - } else if (obj === undefined) { - // get - - var json = { - data: copy(p.data), - position: copy(p.position), - group: p.group, - removed: p.removed, - selected: p.selected, - selectable: p.selectable, - locked: p.locked, - grabbable: p.grabbable, - pannable: p.pannable, - classes: null - }; - json.classes = ''; - var i = 0; - p.classes.forEach(function (cls) { - return json.classes += i++ === 0 ? cls : ' ' + cls; - }); - return json; - } - }; - elesfn$1.jsons = function () { - var jsons = []; - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var json = ele.json(); - jsons.push(json); - } - return jsons; - }; - elesfn$1.clone = function () { - var cy = this.cy(); - var elesArr = []; - for (var i = 0; i < this.length; i++) { - var ele = this[i]; - var json = ele.json(); - var clone = new Element(cy, json, false); // NB no restore - - elesArr.push(clone); - } - return new Collection(cy, elesArr); - }; - elesfn$1.copy = elesfn$1.clone; - elesfn$1.restore = function () { - var notifyRenderer = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : true; - var addToPool = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; - var self = this; - var cy = self.cy(); - var cy_p = cy._private; - - // create arrays of nodes and edges, since we need to - // restore the nodes first - var nodes = []; - var edges = []; - var elements; - for (var _i3 = 0, l = self.length; _i3 < l; _i3++) { - var ele = self[_i3]; - if (addToPool && !ele.removed()) { - // don't need to handle this ele - continue; - } - - // keep nodes first in the array and edges after - if (ele.isNode()) { - // put to front of array if node - nodes.push(ele); - } else { - // put to end of array if edge - edges.push(ele); - } - } - elements = nodes.concat(edges); - var i; - var removeFromElements = function removeFromElements() { - elements.splice(i, 1); - i--; - }; - - // now, restore each element - for (i = 0; i < elements.length; i++) { - var _ele2 = elements[i]; - var _private = _ele2._private; - var _data3 = _private.data; - - // the traversal cache should start fresh when ele is added - _ele2.clearTraversalCache(); - - // set id and validate - if (!addToPool && !_private.removed) ; else if (_data3.id === undefined) { - _data3.id = uuid(); - } else if (number$1(_data3.id)) { - _data3.id = '' + _data3.id; // now it's a string - } else if (emptyString(_data3.id) || !string(_data3.id)) { - error('Can not create element with invalid string ID `' + _data3.id + '`'); - - // can't create element if it has empty string as id or non-string id - removeFromElements(); - continue; - } else if (cy.hasElementWithId(_data3.id)) { - error('Can not create second element with ID `' + _data3.id + '`'); - - // can't create element if one already has that id - removeFromElements(); - continue; - } - var id = _data3.id; // id is finalised, now let's keep a ref - - if (_ele2.isNode()) { - // extra checks for nodes - var pos = _private.position; - - // make sure the nodes have a defined position - - if (pos.x == null) { - pos.x = 0; - } - if (pos.y == null) { - pos.y = 0; - } - } - if (_ele2.isEdge()) { - // extra checks for edges - - var edge = _ele2; - var fields = ['source', 'target']; - var fieldsLength = fields.length; - var badSourceOrTarget = false; - for (var j = 0; j < fieldsLength; j++) { - var field = fields[j]; - var val = _data3[field]; - if (number$1(val)) { - val = _data3[field] = '' + _data3[field]; // now string - } - - if (val == null || val === '') { - // can't create if source or target is not defined properly - error('Can not create edge `' + id + '` with unspecified ' + field); - badSourceOrTarget = true; - } else if (!cy.hasElementWithId(val)) { - // can't create edge if one of its nodes doesn't exist - error('Can not create edge `' + id + '` with nonexistant ' + field + ' `' + val + '`'); - badSourceOrTarget = true; - } - } - if (badSourceOrTarget) { - removeFromElements(); - continue; - } // can't create this - - var src = cy.getElementById(_data3.source); - var tgt = cy.getElementById(_data3.target); - - // only one edge in node if loop - if (src.same(tgt)) { - src._private.edges.push(edge); - } else { - src._private.edges.push(edge); - tgt._private.edges.push(edge); - } - edge._private.source = src; - edge._private.target = tgt; - } // if is edge - - // create mock ids / indexes maps for element so it can be used like collections - _private.map = new Map$2(); - _private.map.set(id, { - ele: _ele2, - index: 0 - }); - _private.removed = false; - if (addToPool) { - cy.addToPool(_ele2); - } - } // for each element - - // do compound node sanity checks - for (var _i4 = 0; _i4 < nodes.length; _i4++) { - // each node - var node = nodes[_i4]; - var _data4 = node._private.data; - if (number$1(_data4.parent)) { - // then automake string - _data4.parent = '' + _data4.parent; - } - var parentId = _data4.parent; - var specifiedParent = parentId != null; - if (specifiedParent || node._private.parent) { - var parent = node._private.parent ? cy.collection().merge(node._private.parent) : cy.getElementById(parentId); - if (parent.empty()) { - // non-existant parent; just remove it - _data4.parent = undefined; - } else if (parent[0].removed()) { - warn('Node added with missing parent, reference to parent removed'); - _data4.parent = undefined; - node._private.parent = null; - } else { - var selfAsParent = false; - var ancestor = parent; - while (!ancestor.empty()) { - if (node.same(ancestor)) { - // mark self as parent and remove from data - selfAsParent = true; - _data4.parent = undefined; // remove parent reference - - // exit or we loop forever - break; - } - ancestor = ancestor.parent(); - } - if (!selfAsParent) { - // connect with children - parent[0]._private.children.push(node); - node._private.parent = parent[0]; - - // let the core know we have a compound graph - cy_p.hasCompoundNodes = true; - } - } // else - } // if specified parent - } // for each node - - if (elements.length > 0) { - var restored = elements.length === self.length ? self : new Collection(cy, elements); - for (var _i5 = 0; _i5 < restored.length; _i5++) { - var _ele3 = restored[_i5]; - if (_ele3.isNode()) { - continue; - } - - // adding an edge invalidates the traversal caches for the parallel edges - _ele3.parallelEdges().clearTraversalCache(); - - // adding an edge invalidates the traversal cache for the connected nodes - _ele3.source().clearTraversalCache(); - _ele3.target().clearTraversalCache(); - } - var toUpdateStyle; - if (cy_p.hasCompoundNodes) { - toUpdateStyle = cy.collection().merge(restored).merge(restored.connectedNodes()).merge(restored.parent()); - } else { - toUpdateStyle = restored; - } - toUpdateStyle.dirtyCompoundBoundsCache().dirtyBoundingBoxCache().updateStyle(notifyRenderer); - if (notifyRenderer) { - restored.emitAndNotify('add'); - } else if (addToPool) { - restored.emit('add'); - } - } - return self; // chainability - }; - - elesfn$1.removed = function () { - var ele = this[0]; - return ele && ele._private.removed; - }; - elesfn$1.inside = function () { - var ele = this[0]; - return ele && !ele._private.removed; - }; - elesfn$1.remove = function () { - var notifyRenderer = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : true; - var removeFromPool = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; - var self = this; - var elesToRemove = []; - var elesToRemoveIds = {}; - var cy = self._private.cy; - - // add connected edges - function addConnectedEdges(node) { - var edges = node._private.edges; - for (var i = 0; i < edges.length; i++) { - add(edges[i]); - } - } - - // add descendant nodes - function addChildren(node) { - var children = node._private.children; - for (var i = 0; i < children.length; i++) { - add(children[i]); - } - } - function add(ele) { - var alreadyAdded = elesToRemoveIds[ele.id()]; - if (removeFromPool && ele.removed() || alreadyAdded) { - return; - } else { - elesToRemoveIds[ele.id()] = true; - } - if (ele.isNode()) { - elesToRemove.push(ele); // nodes are removed last - - addConnectedEdges(ele); - addChildren(ele); - } else { - elesToRemove.unshift(ele); // edges are removed first - } - } - - // make the list of elements to remove - // (may be removing more than specified due to connected edges etc) - - for (var i = 0, l = self.length; i < l; i++) { - var ele = self[i]; - add(ele); - } - function removeEdgeRef(node, edge) { - var connectedEdges = node._private.edges; - removeFromArray(connectedEdges, edge); - - // removing an edges invalidates the traversal cache for its nodes - node.clearTraversalCache(); - } - function removeParallelRef(pllEdge) { - // removing an edge invalidates the traversal caches for the parallel edges - pllEdge.clearTraversalCache(); - } - var alteredParents = []; - alteredParents.ids = {}; - function removeChildRef(parent, ele) { - ele = ele[0]; - parent = parent[0]; - var children = parent._private.children; - var pid = parent.id(); - removeFromArray(children, ele); // remove parent => child ref - - ele._private.parent = null; // remove child => parent ref - - if (!alteredParents.ids[pid]) { - alteredParents.ids[pid] = true; - alteredParents.push(parent); - } - } - self.dirtyCompoundBoundsCache(); - if (removeFromPool) { - cy.removeFromPool(elesToRemove); // remove from core pool - } - - for (var _i6 = 0; _i6 < elesToRemove.length; _i6++) { - var _ele4 = elesToRemove[_i6]; - if (_ele4.isEdge()) { - // remove references to this edge in its connected nodes - var src = _ele4.source()[0]; - var tgt = _ele4.target()[0]; - removeEdgeRef(src, _ele4); - removeEdgeRef(tgt, _ele4); - var pllEdges = _ele4.parallelEdges(); - for (var j = 0; j < pllEdges.length; j++) { - var pllEdge = pllEdges[j]; - removeParallelRef(pllEdge); - if (pllEdge.isBundledBezier()) { - pllEdge.dirtyBoundingBoxCache(); - } - } - } else { - // remove reference to parent - var parent = _ele4.parent(); - if (parent.length !== 0) { - removeChildRef(parent, _ele4); - } - } - if (removeFromPool) { - // mark as removed - _ele4._private.removed = true; - } - } - - // check to see if we have a compound graph or not - var elesStillInside = cy._private.elements; - cy._private.hasCompoundNodes = false; - for (var _i7 = 0; _i7 < elesStillInside.length; _i7++) { - var _ele5 = elesStillInside[_i7]; - if (_ele5.isParent()) { - cy._private.hasCompoundNodes = true; - break; - } - } - var removedElements = new Collection(this.cy(), elesToRemove); - if (removedElements.size() > 0) { - // must manually notify since trigger won't do this automatically once removed - - if (notifyRenderer) { - removedElements.emitAndNotify('remove'); - } else if (removeFromPool) { - removedElements.emit('remove'); - } - } - - // the parents who were modified by the removal need their style updated - for (var _i8 = 0; _i8 < alteredParents.length; _i8++) { - var _ele6 = alteredParents[_i8]; - if (!removeFromPool || !_ele6.removed()) { - _ele6.updateStyle(); - } - } - return removedElements; - }; - elesfn$1.move = function (struct) { - var cy = this._private.cy; - var eles = this; - - // just clean up refs, caches, etc. in the same way as when removing and then restoring - // (our calls to remove/restore do not remove from the graph or make events) - var notifyRenderer = false; - var modifyPool = false; - var toString = function toString(id) { - return id == null ? id : '' + id; - }; // id must be string - - if (struct.source !== undefined || struct.target !== undefined) { - var srcId = toString(struct.source); - var tgtId = toString(struct.target); - var srcExists = srcId != null && cy.hasElementWithId(srcId); - var tgtExists = tgtId != null && cy.hasElementWithId(tgtId); - if (srcExists || tgtExists) { - cy.batch(function () { - // avoid duplicate style updates - eles.remove(notifyRenderer, modifyPool); // clean up refs etc. - eles.emitAndNotify('moveout'); - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var _data5 = ele._private.data; - if (ele.isEdge()) { - if (srcExists) { - _data5.source = srcId; - } - if (tgtExists) { - _data5.target = tgtId; - } - } - } - eles.restore(notifyRenderer, modifyPool); // make new refs, style, etc. - }); - - eles.emitAndNotify('move'); - } - } else if (struct.parent !== undefined) { - // move node to new parent - var parentId = toString(struct.parent); - var parentExists = parentId === null || cy.hasElementWithId(parentId); - if (parentExists) { - var pidToAssign = parentId === null ? undefined : parentId; - cy.batch(function () { - // avoid duplicate style updates - var updated = eles.remove(notifyRenderer, modifyPool); // clean up refs etc. - updated.emitAndNotify('moveout'); - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var _data6 = ele._private.data; - if (ele.isNode()) { - _data6.parent = pidToAssign; - } - } - updated.restore(notifyRenderer, modifyPool); // make new refs, style, etc. - }); - - eles.emitAndNotify('move'); - } - } - return this; - }; - [elesfn$j, elesfn$i, elesfn$h, elesfn$g, elesfn$f, data, elesfn$d, dimensions, elesfn$9, elesfn$8, elesfn$7, elesfn$6, elesfn$5, elesfn$4, elesfn$3, elesfn$2].forEach(function (props) { - extend(elesfn$1, props); - }); - - var corefn$9 = { - add: function add(opts) { - var elements; - var cy = this; - - // add the elements - if (elementOrCollection(opts)) { - var eles = opts; - if (eles._private.cy === cy) { - // same instance => just restore - elements = eles.restore(); - } else { - // otherwise, copy from json - var jsons = []; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - jsons.push(ele.json()); - } - elements = new Collection(cy, jsons); - } - } - - // specify an array of options - else if (array(opts)) { - var _jsons = opts; - elements = new Collection(cy, _jsons); - } - - // specify via opts.nodes and opts.edges - else if (plainObject(opts) && (array(opts.nodes) || array(opts.edges))) { - var elesByGroup = opts; - var _jsons2 = []; - var grs = ['nodes', 'edges']; - for (var _i = 0, il = grs.length; _i < il; _i++) { - var group = grs[_i]; - var elesArray = elesByGroup[group]; - if (array(elesArray)) { - for (var j = 0, jl = elesArray.length; j < jl; j++) { - var json = extend({ - group: group - }, elesArray[j]); - _jsons2.push(json); - } - } - } - elements = new Collection(cy, _jsons2); - } - - // specify options for one element - else { - var _json = opts; - elements = new Element(cy, _json).collection(); - } - return elements; - }, - remove: function remove(collection) { - if (elementOrCollection(collection)) ; else if (string(collection)) { - var selector = collection; - collection = this.$(selector); - } - return collection.remove(); - } - }; - - /* global Float32Array */ - - /*! Bezier curve function generator. Copyright Gaetan Renaudeau. MIT License: http://en.wikipedia.org/wiki/MIT_License */ - function generateCubicBezier(mX1, mY1, mX2, mY2) { - var NEWTON_ITERATIONS = 4, - NEWTON_MIN_SLOPE = 0.001, - SUBDIVISION_PRECISION = 0.0000001, - SUBDIVISION_MAX_ITERATIONS = 10, - kSplineTableSize = 11, - kSampleStepSize = 1.0 / (kSplineTableSize - 1.0), - float32ArraySupported = typeof Float32Array !== 'undefined'; - - /* Must contain four arguments. */ - if (arguments.length !== 4) { - return false; - } - - /* Arguments must be numbers. */ - for (var i = 0; i < 4; ++i) { - if (typeof arguments[i] !== "number" || isNaN(arguments[i]) || !isFinite(arguments[i])) { - return false; - } - } - - /* X values must be in the [0, 1] range. */ - mX1 = Math.min(mX1, 1); - mX2 = Math.min(mX2, 1); - mX1 = Math.max(mX1, 0); - mX2 = Math.max(mX2, 0); - var mSampleValues = float32ArraySupported ? new Float32Array(kSplineTableSize) : new Array(kSplineTableSize); - function A(aA1, aA2) { - return 1.0 - 3.0 * aA2 + 3.0 * aA1; - } - function B(aA1, aA2) { - return 3.0 * aA2 - 6.0 * aA1; - } - function C(aA1) { - return 3.0 * aA1; - } - function calcBezier(aT, aA1, aA2) { - return ((A(aA1, aA2) * aT + B(aA1, aA2)) * aT + C(aA1)) * aT; - } - function getSlope(aT, aA1, aA2) { - return 3.0 * A(aA1, aA2) * aT * aT + 2.0 * B(aA1, aA2) * aT + C(aA1); - } - function newtonRaphsonIterate(aX, aGuessT) { - for (var _i = 0; _i < NEWTON_ITERATIONS; ++_i) { - var currentSlope = getSlope(aGuessT, mX1, mX2); - if (currentSlope === 0.0) { - return aGuessT; - } - var currentX = calcBezier(aGuessT, mX1, mX2) - aX; - aGuessT -= currentX / currentSlope; - } - return aGuessT; - } - function calcSampleValues() { - for (var _i2 = 0; _i2 < kSplineTableSize; ++_i2) { - mSampleValues[_i2] = calcBezier(_i2 * kSampleStepSize, mX1, mX2); - } - } - function binarySubdivide(aX, aA, aB) { - var currentX, - currentT, - i = 0; - do { - currentT = aA + (aB - aA) / 2.0; - currentX = calcBezier(currentT, mX1, mX2) - aX; - if (currentX > 0.0) { - aB = currentT; - } else { - aA = currentT; - } - } while (Math.abs(currentX) > SUBDIVISION_PRECISION && ++i < SUBDIVISION_MAX_ITERATIONS); - return currentT; - } - function getTForX(aX) { - var intervalStart = 0.0, - currentSample = 1, - lastSample = kSplineTableSize - 1; - for (; currentSample !== lastSample && mSampleValues[currentSample] <= aX; ++currentSample) { - intervalStart += kSampleStepSize; - } - --currentSample; - var dist = (aX - mSampleValues[currentSample]) / (mSampleValues[currentSample + 1] - mSampleValues[currentSample]), - guessForT = intervalStart + dist * kSampleStepSize, - initialSlope = getSlope(guessForT, mX1, mX2); - if (initialSlope >= NEWTON_MIN_SLOPE) { - return newtonRaphsonIterate(aX, guessForT); - } else if (initialSlope === 0.0) { - return guessForT; - } else { - return binarySubdivide(aX, intervalStart, intervalStart + kSampleStepSize); - } - } - var _precomputed = false; - function precompute() { - _precomputed = true; - if (mX1 !== mY1 || mX2 !== mY2) { - calcSampleValues(); - } - } - var f = function f(aX) { - if (!_precomputed) { - precompute(); - } - if (mX1 === mY1 && mX2 === mY2) { - return aX; - } - if (aX === 0) { - return 0; - } - if (aX === 1) { - return 1; - } - return calcBezier(getTForX(aX), mY1, mY2); - }; - f.getControlPoints = function () { - return [{ - x: mX1, - y: mY1 - }, { - x: mX2, - y: mY2 - }]; - }; - var str = "generateBezier(" + [mX1, mY1, mX2, mY2] + ")"; - f.toString = function () { - return str; - }; - return f; - } - - /*! Runge-Kutta spring physics function generator. Adapted from Framer.js, copyright Koen Bok. MIT License: http://en.wikipedia.org/wiki/MIT_License */ - /* Given a tension, friction, and duration, a simulation at 60FPS will first run without a defined duration in order to calculate the full path. A second pass - then adjusts the time delta -- using the relation between actual time and duration -- to calculate the path for the duration-constrained animation. */ - var generateSpringRK4 = function () { - function springAccelerationForState(state) { - return -state.tension * state.x - state.friction * state.v; - } - function springEvaluateStateWithDerivative(initialState, dt, derivative) { - var state = { - x: initialState.x + derivative.dx * dt, - v: initialState.v + derivative.dv * dt, - tension: initialState.tension, - friction: initialState.friction - }; - return { - dx: state.v, - dv: springAccelerationForState(state) - }; - } - function springIntegrateState(state, dt) { - var a = { - dx: state.v, - dv: springAccelerationForState(state) - }, - b = springEvaluateStateWithDerivative(state, dt * 0.5, a), - c = springEvaluateStateWithDerivative(state, dt * 0.5, b), - d = springEvaluateStateWithDerivative(state, dt, c), - dxdt = 1.0 / 6.0 * (a.dx + 2.0 * (b.dx + c.dx) + d.dx), - dvdt = 1.0 / 6.0 * (a.dv + 2.0 * (b.dv + c.dv) + d.dv); - state.x = state.x + dxdt * dt; - state.v = state.v + dvdt * dt; - return state; - } - return function springRK4Factory(tension, friction, duration) { - var initState = { - x: -1, - v: 0, - tension: null, - friction: null - }, - path = [0], - time_lapsed = 0, - tolerance = 1 / 10000, - DT = 16 / 1000, - have_duration, - dt, - last_state; - tension = parseFloat(tension) || 500; - friction = parseFloat(friction) || 20; - duration = duration || null; - initState.tension = tension; - initState.friction = friction; - have_duration = duration !== null; - - /* Calculate the actual time it takes for this animation to complete with the provided conditions. */ - if (have_duration) { - /* Run the simulation without a duration. */ - time_lapsed = springRK4Factory(tension, friction); - /* Compute the adjusted time delta. */ - dt = time_lapsed / duration * DT; - } else { - dt = DT; - } - for (;;) { - /* Next/step function .*/ - last_state = springIntegrateState(last_state || initState, dt); - /* Store the position. */ - path.push(1 + last_state.x); - time_lapsed += 16; - /* If the change threshold is reached, break. */ - if (!(Math.abs(last_state.x) > tolerance && Math.abs(last_state.v) > tolerance)) { - break; - } - } - - /* If duration is not defined, return the actual time required for completing this animation. Otherwise, return a closure that holds the - computed path and returns a snapshot of the position according to a given percentComplete. */ - return !have_duration ? time_lapsed : function (percentComplete) { - return path[percentComplete * (path.length - 1) | 0]; - }; - }; - }(); - - var cubicBezier = function cubicBezier(t1, p1, t2, p2) { - var bezier = generateCubicBezier(t1, p1, t2, p2); - return function (start, end, percent) { - return start + (end - start) * bezier(percent); - }; - }; - var easings = { - 'linear': function linear(start, end, percent) { - return start + (end - start) * percent; - }, - // default easings - 'ease': cubicBezier(0.25, 0.1, 0.25, 1), - 'ease-in': cubicBezier(0.42, 0, 1, 1), - 'ease-out': cubicBezier(0, 0, 0.58, 1), - 'ease-in-out': cubicBezier(0.42, 0, 0.58, 1), - // sine - 'ease-in-sine': cubicBezier(0.47, 0, 0.745, 0.715), - 'ease-out-sine': cubicBezier(0.39, 0.575, 0.565, 1), - 'ease-in-out-sine': cubicBezier(0.445, 0.05, 0.55, 0.95), - // quad - 'ease-in-quad': cubicBezier(0.55, 0.085, 0.68, 0.53), - 'ease-out-quad': cubicBezier(0.25, 0.46, 0.45, 0.94), - 'ease-in-out-quad': cubicBezier(0.455, 0.03, 0.515, 0.955), - // cubic - 'ease-in-cubic': cubicBezier(0.55, 0.055, 0.675, 0.19), - 'ease-out-cubic': cubicBezier(0.215, 0.61, 0.355, 1), - 'ease-in-out-cubic': cubicBezier(0.645, 0.045, 0.355, 1), - // quart - 'ease-in-quart': cubicBezier(0.895, 0.03, 0.685, 0.22), - 'ease-out-quart': cubicBezier(0.165, 0.84, 0.44, 1), - 'ease-in-out-quart': cubicBezier(0.77, 0, 0.175, 1), - // quint - 'ease-in-quint': cubicBezier(0.755, 0.05, 0.855, 0.06), - 'ease-out-quint': cubicBezier(0.23, 1, 0.32, 1), - 'ease-in-out-quint': cubicBezier(0.86, 0, 0.07, 1), - // expo - 'ease-in-expo': cubicBezier(0.95, 0.05, 0.795, 0.035), - 'ease-out-expo': cubicBezier(0.19, 1, 0.22, 1), - 'ease-in-out-expo': cubicBezier(1, 0, 0, 1), - // circ - 'ease-in-circ': cubicBezier(0.6, 0.04, 0.98, 0.335), - 'ease-out-circ': cubicBezier(0.075, 0.82, 0.165, 1), - 'ease-in-out-circ': cubicBezier(0.785, 0.135, 0.15, 0.86), - // user param easings... - - 'spring': function spring(tension, friction, duration) { - if (duration === 0) { - // can't get a spring w/ duration 0 - return easings.linear; // duration 0 => jump to end so impl doesn't matter - } - - var spring = generateSpringRK4(tension, friction, duration); - return function (start, end, percent) { - return start + (end - start) * spring(percent); - }; - }, - 'cubic-bezier': cubicBezier - }; - - function getEasedValue(type, start, end, percent, easingFn) { - if (percent === 1) { - return end; - } - if (start === end) { - return end; - } - var val = easingFn(start, end, percent); - if (type == null) { - return val; - } - if (type.roundValue || type.color) { - val = Math.round(val); - } - if (type.min !== undefined) { - val = Math.max(val, type.min); - } - if (type.max !== undefined) { - val = Math.min(val, type.max); - } - return val; - } - function getValue(prop, spec) { - if (prop.pfValue != null || prop.value != null) { - if (prop.pfValue != null && (spec == null || spec.type.units !== '%')) { - return prop.pfValue; - } else { - return prop.value; - } - } else { - return prop; - } - } - function ease(startProp, endProp, percent, easingFn, propSpec) { - var type = propSpec != null ? propSpec.type : null; - if (percent < 0) { - percent = 0; - } else if (percent > 1) { - percent = 1; - } - var start = getValue(startProp, propSpec); - var end = getValue(endProp, propSpec); - if (number$1(start) && number$1(end)) { - return getEasedValue(type, start, end, percent, easingFn); - } else if (array(start) && array(end)) { - var easedArr = []; - for (var i = 0; i < end.length; i++) { - var si = start[i]; - var ei = end[i]; - if (si != null && ei != null) { - var val = getEasedValue(type, si, ei, percent, easingFn); - easedArr.push(val); - } else { - easedArr.push(ei); - } - } - return easedArr; - } - return undefined; - } - - function step$1(self, ani, now, isCore) { - var isEles = !isCore; - var _p = self._private; - var ani_p = ani._private; - var pEasing = ani_p.easing; - var startTime = ani_p.startTime; - var cy = isCore ? self : self.cy(); - var style = cy.style(); - if (!ani_p.easingImpl) { - if (pEasing == null) { - // use default - ani_p.easingImpl = easings['linear']; - } else { - // then define w/ name - var easingVals; - if (string(pEasing)) { - var easingProp = style.parse('transition-timing-function', pEasing); - easingVals = easingProp.value; - } else { - // then assume preparsed array - easingVals = pEasing; - } - var name, args; - if (string(easingVals)) { - name = easingVals; - args = []; - } else { - name = easingVals[1]; - args = easingVals.slice(2).map(function (n) { - return +n; - }); - } - if (args.length > 0) { - // create with args - if (name === 'spring') { - args.push(ani_p.duration); // need duration to generate spring - } - - ani_p.easingImpl = easings[name].apply(null, args); - } else { - // static impl by name - ani_p.easingImpl = easings[name]; - } - } - } - var easing = ani_p.easingImpl; - var percent; - if (ani_p.duration === 0) { - percent = 1; - } else { - percent = (now - startTime) / ani_p.duration; - } - if (ani_p.applying) { - percent = ani_p.progress; - } - if (percent < 0) { - percent = 0; - } else if (percent > 1) { - percent = 1; - } - if (ani_p.delay == null) { - // then update - - var startPos = ani_p.startPosition; - var endPos = ani_p.position; - if (endPos && isEles && !self.locked()) { - var newPos = {}; - if (valid(startPos.x, endPos.x)) { - newPos.x = ease(startPos.x, endPos.x, percent, easing); - } - if (valid(startPos.y, endPos.y)) { - newPos.y = ease(startPos.y, endPos.y, percent, easing); - } - self.position(newPos); - } - var startPan = ani_p.startPan; - var endPan = ani_p.pan; - var pan = _p.pan; - var animatingPan = endPan != null && isCore; - if (animatingPan) { - if (valid(startPan.x, endPan.x)) { - pan.x = ease(startPan.x, endPan.x, percent, easing); - } - if (valid(startPan.y, endPan.y)) { - pan.y = ease(startPan.y, endPan.y, percent, easing); - } - self.emit('pan'); - } - var startZoom = ani_p.startZoom; - var endZoom = ani_p.zoom; - var animatingZoom = endZoom != null && isCore; - if (animatingZoom) { - if (valid(startZoom, endZoom)) { - _p.zoom = bound(_p.minZoom, ease(startZoom, endZoom, percent, easing), _p.maxZoom); - } - self.emit('zoom'); - } - if (animatingPan || animatingZoom) { - self.emit('viewport'); - } - var props = ani_p.style; - if (props && props.length > 0 && isEles) { - for (var i = 0; i < props.length; i++) { - var prop = props[i]; - var _name = prop.name; - var end = prop; - var start = ani_p.startStyle[_name]; - var propSpec = style.properties[start.name]; - var easedVal = ease(start, end, percent, easing, propSpec); - style.overrideBypass(self, _name, easedVal); - } // for props - - self.emit('style'); - } // if - } - - ani_p.progress = percent; - return percent; - } - function valid(start, end) { - if (start == null || end == null) { - return false; - } - if (number$1(start) && number$1(end)) { - return true; - } else if (start && end) { - return true; - } - return false; - } - - function startAnimation(self, ani, now, isCore) { - var ani_p = ani._private; - ani_p.started = true; - ani_p.startTime = now - ani_p.progress * ani_p.duration; - } - - function stepAll(now, cy) { - var eles = cy._private.aniEles; - var doneEles = []; - function stepOne(ele, isCore) { - var _p = ele._private; - var current = _p.animation.current; - var queue = _p.animation.queue; - var ranAnis = false; - - // if nothing currently animating, get something from the queue - if (current.length === 0) { - var next = queue.shift(); - if (next) { - current.push(next); - } - } - var callbacks = function callbacks(_callbacks) { - for (var j = _callbacks.length - 1; j >= 0; j--) { - var cb = _callbacks[j]; - cb(); - } - _callbacks.splice(0, _callbacks.length); - }; - - // step and remove if done - for (var i = current.length - 1; i >= 0; i--) { - var ani = current[i]; - var ani_p = ani._private; - if (ani_p.stopped) { - current.splice(i, 1); - ani_p.hooked = false; - ani_p.playing = false; - ani_p.started = false; - callbacks(ani_p.frames); - continue; - } - if (!ani_p.playing && !ani_p.applying) { - continue; - } - - // an apply() while playing shouldn't do anything - if (ani_p.playing && ani_p.applying) { - ani_p.applying = false; - } - if (!ani_p.started) { - startAnimation(ele, ani, now); - } - step$1(ele, ani, now, isCore); - if (ani_p.applying) { - ani_p.applying = false; - } - callbacks(ani_p.frames); - if (ani_p.step != null) { - ani_p.step(now); - } - if (ani.completed()) { - current.splice(i, 1); - ani_p.hooked = false; - ani_p.playing = false; - ani_p.started = false; - callbacks(ani_p.completes); - } - ranAnis = true; - } - if (!isCore && current.length === 0 && queue.length === 0) { - doneEles.push(ele); - } - return ranAnis; - } // stepElement - - // handle all eles - var ranEleAni = false; - for (var e = 0; e < eles.length; e++) { - var ele = eles[e]; - var handledThisEle = stepOne(ele); - ranEleAni = ranEleAni || handledThisEle; - } // each element - - var ranCoreAni = stepOne(cy, true); - - // notify renderer - if (ranEleAni || ranCoreAni) { - if (eles.length > 0) { - cy.notify('draw', eles); - } else { - cy.notify('draw'); - } - } - - // remove elements from list of currently animating if its queues are empty - eles.unmerge(doneEles); - cy.emit('step'); - } // stepAll - - var corefn$8 = { - // pull in animation functions - animate: define.animate(), - animation: define.animation(), - animated: define.animated(), - clearQueue: define.clearQueue(), - delay: define.delay(), - delayAnimation: define.delayAnimation(), - stop: define.stop(), - addToAnimationPool: function addToAnimationPool(eles) { - var cy = this; - if (!cy.styleEnabled()) { - return; - } // save cycles when no style used - - cy._private.aniEles.merge(eles); - }, - stopAnimationLoop: function stopAnimationLoop() { - this._private.animationsRunning = false; - }, - startAnimationLoop: function startAnimationLoop() { - var cy = this; - cy._private.animationsRunning = true; - if (!cy.styleEnabled()) { - return; - } // save cycles when no style used - - // NB the animation loop will exec in headless environments if style enabled - // and explicit cy.destroy() is necessary to stop the loop - - function headlessStep() { - if (!cy._private.animationsRunning) { - return; - } - requestAnimationFrame(function animationStep(now) { - stepAll(now, cy); - headlessStep(); - }); - } - var renderer = cy.renderer(); - if (renderer && renderer.beforeRender) { - // let the renderer schedule animations - renderer.beforeRender(function rendererAnimationStep(willDraw, now) { - stepAll(now, cy); - }, renderer.beforeRenderPriorities.animations); - } else { - // manage the animation loop ourselves - headlessStep(); // first call - } - } - }; - - var emitterOptions = { - qualifierCompare: function qualifierCompare(selector1, selector2) { - if (selector1 == null || selector2 == null) { - return selector1 == null && selector2 == null; - } else { - return selector1.sameText(selector2); - } - }, - eventMatches: function eventMatches(cy, listener, eventObj) { - var selector = listener.qualifier; - if (selector != null) { - return cy !== eventObj.target && element(eventObj.target) && selector.matches(eventObj.target); - } - return true; - }, - addEventFields: function addEventFields(cy, evt) { - evt.cy = cy; - evt.target = cy; - }, - callbackContext: function callbackContext(cy, listener, eventObj) { - return listener.qualifier != null ? eventObj.target : cy; - } - }; - var argSelector = function argSelector(arg) { - if (string(arg)) { - return new Selector(arg); - } else { - return arg; - } - }; - var elesfn = { - createEmitter: function createEmitter() { - var _p = this._private; - if (!_p.emitter) { - _p.emitter = new Emitter(emitterOptions, this); - } - return this; - }, - emitter: function emitter() { - return this._private.emitter; - }, - on: function on(events, selector, callback) { - this.emitter().on(events, argSelector(selector), callback); - return this; - }, - removeListener: function removeListener(events, selector, callback) { - this.emitter().removeListener(events, argSelector(selector), callback); - return this; - }, - removeAllListeners: function removeAllListeners() { - this.emitter().removeAllListeners(); - return this; - }, - one: function one(events, selector, callback) { - this.emitter().one(events, argSelector(selector), callback); - return this; - }, - once: function once(events, selector, callback) { - this.emitter().one(events, argSelector(selector), callback); - return this; - }, - emit: function emit(events, extraParams) { - this.emitter().emit(events, extraParams); - return this; - }, - emitAndNotify: function emitAndNotify(event, eles) { - this.emit(event); - this.notify(event, eles); - return this; - } - }; - define.eventAliasesOn(elesfn); - - var corefn$7 = { - png: function png(options) { - var renderer = this._private.renderer; - options = options || {}; - return renderer.png(options); - }, - jpg: function jpg(options) { - var renderer = this._private.renderer; - options = options || {}; - options.bg = options.bg || '#fff'; - return renderer.jpg(options); - } - }; - corefn$7.jpeg = corefn$7.jpg; - - var corefn$6 = { - layout: function layout(options) { - var cy = this; - if (options == null) { - error('Layout options must be specified to make a layout'); - return; - } - if (options.name == null) { - error('A `name` must be specified to make a layout'); - return; - } - var name = options.name; - var Layout = cy.extension('layout', name); - if (Layout == null) { - error('No such layout `' + name + '` found. Did you forget to import it and `cytoscape.use()` it?'); - return; - } - var eles; - if (string(options.eles)) { - eles = cy.$(options.eles); - } else { - eles = options.eles != null ? options.eles : cy.$(); - } - var layout = new Layout(extend({}, options, { - cy: cy, - eles: eles - })); - return layout; - } - }; - corefn$6.createLayout = corefn$6.makeLayout = corefn$6.layout; - - var corefn$5 = { - notify: function notify(eventName, eventEles) { - var _p = this._private; - if (this.batching()) { - _p.batchNotifications = _p.batchNotifications || {}; - var eles = _p.batchNotifications[eventName] = _p.batchNotifications[eventName] || this.collection(); - if (eventEles != null) { - eles.merge(eventEles); - } - return; // notifications are disabled during batching - } - - if (!_p.notificationsEnabled) { - return; - } // exit on disabled - - var renderer = this.renderer(); - - // exit if destroy() called on core or renderer in between frames #1499 #1528 - if (this.destroyed() || !renderer) { - return; - } - renderer.notify(eventName, eventEles); - }, - notifications: function notifications(bool) { - var p = this._private; - if (bool === undefined) { - return p.notificationsEnabled; - } else { - p.notificationsEnabled = bool ? true : false; - } - return this; - }, - noNotifications: function noNotifications(callback) { - this.notifications(false); - callback(); - this.notifications(true); - }, - batching: function batching() { - return this._private.batchCount > 0; - }, - startBatch: function startBatch() { - var _p = this._private; - if (_p.batchCount == null) { - _p.batchCount = 0; - } - if (_p.batchCount === 0) { - _p.batchStyleEles = this.collection(); - _p.batchNotifications = {}; - } - _p.batchCount++; - return this; - }, - endBatch: function endBatch() { - var _p = this._private; - if (_p.batchCount === 0) { - return this; - } - _p.batchCount--; - if (_p.batchCount === 0) { - // update style for dirty eles - _p.batchStyleEles.updateStyle(); - var renderer = this.renderer(); - - // notify the renderer of queued eles and event types - Object.keys(_p.batchNotifications).forEach(function (eventName) { - var eles = _p.batchNotifications[eventName]; - if (eles.empty()) { - renderer.notify(eventName); - } else { - renderer.notify(eventName, eles); - } - }); - } - return this; - }, - batch: function batch(callback) { - this.startBatch(); - callback(); - this.endBatch(); - return this; - }, - // for backwards compatibility - batchData: function batchData(map) { - var cy = this; - return this.batch(function () { - var ids = Object.keys(map); - for (var i = 0; i < ids.length; i++) { - var id = ids[i]; - var data = map[id]; - var ele = cy.getElementById(id); - ele.data(data); - } - }); - } - }; - - var rendererDefaults = defaults$g({ - hideEdgesOnViewport: false, - textureOnViewport: false, - motionBlur: false, - motionBlurOpacity: 0.05, - pixelRatio: undefined, - desktopTapThreshold: 4, - touchTapThreshold: 8, - wheelSensitivity: 1, - debug: false, - showFps: false - }); - var corefn$4 = { - renderTo: function renderTo(context, zoom, pan, pxRatio) { - var r = this._private.renderer; - r.renderTo(context, zoom, pan, pxRatio); - return this; - }, - renderer: function renderer() { - return this._private.renderer; - }, - forceRender: function forceRender() { - this.notify('draw'); - return this; - }, - resize: function resize() { - this.invalidateSize(); - this.emitAndNotify('resize'); - return this; - }, - initRenderer: function initRenderer(options) { - var cy = this; - var RendererProto = cy.extension('renderer', options.name); - if (RendererProto == null) { - error("Can not initialise: No such renderer `".concat(options.name, "` found. Did you forget to import it and `cytoscape.use()` it?")); - return; - } - if (options.wheelSensitivity !== undefined) { - warn("You have set a custom wheel sensitivity. This will make your app zoom unnaturally when using mainstream mice. You should change this value from the default only if you can guarantee that all your users will use the same hardware and OS configuration as your current machine."); - } - var rOpts = rendererDefaults(options); - rOpts.cy = cy; - cy._private.renderer = new RendererProto(rOpts); - this.notify('init'); - }, - destroyRenderer: function destroyRenderer() { - var cy = this; - cy.notify('destroy'); // destroy the renderer - - var domEle = cy.container(); - if (domEle) { - domEle._cyreg = null; - while (domEle.childNodes.length > 0) { - domEle.removeChild(domEle.childNodes[0]); - } - } - cy._private.renderer = null; // to be extra safe, remove the ref - cy.mutableElements().forEach(function (ele) { - var _p = ele._private; - _p.rscratch = {}; - _p.rstyle = {}; - _p.animation.current = []; - _p.animation.queue = []; - }); - }, - onRender: function onRender(fn) { - return this.on('render', fn); - }, - offRender: function offRender(fn) { - return this.off('render', fn); - } - }; - corefn$4.invalidateDimensions = corefn$4.resize; - - var corefn$3 = { - // get a collection - // - empty collection on no args - // - collection of elements in the graph on selector arg - // - guarantee a returned collection when elements or collection specified - collection: function collection(eles, opts) { - if (string(eles)) { - return this.$(eles); - } else if (elementOrCollection(eles)) { - return eles.collection(); - } else if (array(eles)) { - if (!opts) { - opts = {}; - } - return new Collection(this, eles, opts.unique, opts.removed); - } - return new Collection(this); - }, - nodes: function nodes(selector) { - var nodes = this.$(function (ele) { - return ele.isNode(); - }); - if (selector) { - return nodes.filter(selector); - } - return nodes; - }, - edges: function edges(selector) { - var edges = this.$(function (ele) { - return ele.isEdge(); - }); - if (selector) { - return edges.filter(selector); - } - return edges; - }, - // search the graph like jQuery - $: function $(selector) { - var eles = this._private.elements; - if (selector) { - return eles.filter(selector); - } else { - return eles.spawnSelf(); - } - }, - mutableElements: function mutableElements() { - return this._private.elements; - } - }; - - // aliases - corefn$3.elements = corefn$3.filter = corefn$3.$; - - var styfn$8 = {}; - - // keys for style blocks, e.g. ttfftt - var TRUE = 't'; - var FALSE = 'f'; - - // (potentially expensive calculation) - // apply the style to the element based on - // - its bypass - // - what selectors match it - styfn$8.apply = function (eles) { - var self = this; - var _p = self._private; - var cy = _p.cy; - var updatedEles = cy.collection(); - for (var ie = 0; ie < eles.length; ie++) { - var ele = eles[ie]; - var cxtMeta = self.getContextMeta(ele); - if (cxtMeta.empty) { - continue; - } - var cxtStyle = self.getContextStyle(cxtMeta); - var app = self.applyContextStyle(cxtMeta, cxtStyle, ele); - if (ele._private.appliedInitStyle) { - self.updateTransitions(ele, app.diffProps); - } else { - ele._private.appliedInitStyle = true; - } - var hintsDiff = self.updateStyleHints(ele); - if (hintsDiff) { - updatedEles.push(ele); - } - } // for elements - - return updatedEles; - }; - styfn$8.getPropertiesDiff = function (oldCxtKey, newCxtKey) { - var self = this; - var cache = self._private.propDiffs = self._private.propDiffs || {}; - var dualCxtKey = oldCxtKey + '-' + newCxtKey; - var cachedVal = cache[dualCxtKey]; - if (cachedVal) { - return cachedVal; - } - var diffProps = []; - var addedProp = {}; - for (var i = 0; i < self.length; i++) { - var cxt = self[i]; - var oldHasCxt = oldCxtKey[i] === TRUE; - var newHasCxt = newCxtKey[i] === TRUE; - var cxtHasDiffed = oldHasCxt !== newHasCxt; - var cxtHasMappedProps = cxt.mappedProperties.length > 0; - if (cxtHasDiffed || newHasCxt && cxtHasMappedProps) { - var props = void 0; - if (cxtHasDiffed && cxtHasMappedProps) { - props = cxt.properties; // suffices b/c mappedProperties is a subset of properties - } else if (cxtHasDiffed) { - props = cxt.properties; // need to check them all - } else if (cxtHasMappedProps) { - props = cxt.mappedProperties; // only need to check mapped - } - - for (var j = 0; j < props.length; j++) { - var prop = props[j]; - var name = prop.name; - - // if a later context overrides this property, then the fact that this context has switched/diffed doesn't matter - // (semi expensive check since it makes this function O(n^2) on context length, but worth it since overall result - // is cached) - var laterCxtOverrides = false; - for (var k = i + 1; k < self.length; k++) { - var laterCxt = self[k]; - var hasLaterCxt = newCxtKey[k] === TRUE; - if (!hasLaterCxt) { - continue; - } // can't override unless the context is active - - laterCxtOverrides = laterCxt.properties[prop.name] != null; - if (laterCxtOverrides) { - break; - } // exit early as long as one later context overrides - } - - if (!addedProp[name] && !laterCxtOverrides) { - addedProp[name] = true; - diffProps.push(name); - } - } // for props - } // if - } // for contexts - - cache[dualCxtKey] = diffProps; - return diffProps; - }; - styfn$8.getContextMeta = function (ele) { - var self = this; - var cxtKey = ''; - var diffProps; - var prevKey = ele._private.styleCxtKey || ''; - - // get the cxt key - for (var i = 0; i < self.length; i++) { - var context = self[i]; - var contextSelectorMatches = context.selector && context.selector.matches(ele); // NB: context.selector may be null for 'core' - - if (contextSelectorMatches) { - cxtKey += TRUE; - } else { - cxtKey += FALSE; - } - } // for context - - diffProps = self.getPropertiesDiff(prevKey, cxtKey); - ele._private.styleCxtKey = cxtKey; - return { - key: cxtKey, - diffPropNames: diffProps, - empty: diffProps.length === 0 - }; - }; - - // gets a computed ele style object based on matched contexts - styfn$8.getContextStyle = function (cxtMeta) { - var cxtKey = cxtMeta.key; - var self = this; - var cxtStyles = this._private.contextStyles = this._private.contextStyles || {}; - - // if already computed style, returned cached copy - if (cxtStyles[cxtKey]) { - return cxtStyles[cxtKey]; - } - var style = { - _private: { - key: cxtKey - } - }; - for (var i = 0; i < self.length; i++) { - var cxt = self[i]; - var hasCxt = cxtKey[i] === TRUE; - if (!hasCxt) { - continue; - } - for (var j = 0; j < cxt.properties.length; j++) { - var prop = cxt.properties[j]; - style[prop.name] = prop; - } - } - cxtStyles[cxtKey] = style; - return style; - }; - styfn$8.applyContextStyle = function (cxtMeta, cxtStyle, ele) { - var self = this; - var diffProps = cxtMeta.diffPropNames; - var retDiffProps = {}; - var types = self.types; - for (var i = 0; i < diffProps.length; i++) { - var diffPropName = diffProps[i]; - var cxtProp = cxtStyle[diffPropName]; - var eleProp = ele.pstyle(diffPropName); - if (!cxtProp) { - // no context prop means delete - if (!eleProp) { - continue; // no existing prop means nothing needs to be removed - // nb affects initial application on mapped values like control-point-distances - } else if (eleProp.bypass) { - cxtProp = { - name: diffPropName, - deleteBypassed: true - }; - } else { - cxtProp = { - name: diffPropName, - "delete": true - }; - } - } - - // save cycles when the context prop doesn't need to be applied - if (eleProp === cxtProp) { - continue; - } - - // save cycles when a mapped context prop doesn't need to be applied - if (cxtProp.mapped === types.fn // context prop is function mapper - && eleProp != null // some props can be null even by default (e.g. a prop that overrides another one) - && eleProp.mapping != null // ele prop is a concrete value from from a mapper - && eleProp.mapping.value === cxtProp.value // the current prop on the ele is a flat prop value for the function mapper - ) { - // NB don't write to cxtProp, as it's shared among eles (stored in stylesheet) - var mapping = eleProp.mapping; // can write to mapping, as it's a per-ele copy - var fnValue = mapping.fnValue = cxtProp.value(ele); // temporarily cache the value in case of a miss - - if (fnValue === mapping.prevFnValue) { - continue; - } - } - var retDiffProp = retDiffProps[diffPropName] = { - prev: eleProp - }; - self.applyParsedProperty(ele, cxtProp); - retDiffProp.next = ele.pstyle(diffPropName); - if (retDiffProp.next && retDiffProp.next.bypass) { - retDiffProp.next = retDiffProp.next.bypassed; - } - } - return { - diffProps: retDiffProps - }; - }; - styfn$8.updateStyleHints = function (ele) { - var _p = ele._private; - var self = this; - var propNames = self.propertyGroupNames; - var propGrKeys = self.propertyGroupKeys; - var propHash = function propHash(ele, propNames, seedKey) { - return self.getPropertiesHash(ele, propNames, seedKey); - }; - var oldStyleKey = _p.styleKey; - if (ele.removed()) { - return false; - } - var isNode = _p.group === 'nodes'; - - // get the style key hashes per prop group - // but lazily -- only use non-default prop values to reduce the number of hashes - // - - var overriddenStyles = ele._private.style; - propNames = Object.keys(overriddenStyles); - for (var i = 0; i < propGrKeys.length; i++) { - var grKey = propGrKeys[i]; - _p.styleKeys[grKey] = [DEFAULT_HASH_SEED, DEFAULT_HASH_SEED_ALT]; - } - var updateGrKey1 = function updateGrKey1(val, grKey) { - return _p.styleKeys[grKey][0] = hashInt(val, _p.styleKeys[grKey][0]); - }; - var updateGrKey2 = function updateGrKey2(val, grKey) { - return _p.styleKeys[grKey][1] = hashIntAlt(val, _p.styleKeys[grKey][1]); - }; - var updateGrKey = function updateGrKey(val, grKey) { - updateGrKey1(val, grKey); - updateGrKey2(val, grKey); - }; - var updateGrKeyWStr = function updateGrKeyWStr(strVal, grKey) { - for (var j = 0; j < strVal.length; j++) { - var ch = strVal.charCodeAt(j); - updateGrKey1(ch, grKey); - updateGrKey2(ch, grKey); - } - }; - - // - hashing works on 32 bit ints b/c we use bitwise ops - // - small numbers get cut off (e.g. 0.123 is seen as 0 by the hashing function) - // - raise up small numbers so more significant digits are seen by hashing - // - make small numbers larger than a normal value to avoid collisions - // - works in practice and it's relatively cheap - var N = 2000000000; - var cleanNum = function cleanNum(val) { - return -128 < val && val < 128 && Math.floor(val) !== val ? N - (val * 1024 | 0) : val; - }; - for (var _i = 0; _i < propNames.length; _i++) { - var name = propNames[_i]; - var parsedProp = overriddenStyles[name]; - if (parsedProp == null) { - continue; - } - var propInfo = this.properties[name]; - var type = propInfo.type; - var _grKey = propInfo.groupKey; - var normalizedNumberVal = void 0; - if (propInfo.hashOverride != null) { - normalizedNumberVal = propInfo.hashOverride(ele, parsedProp); - } else if (parsedProp.pfValue != null) { - normalizedNumberVal = parsedProp.pfValue; - } - - // might not be a number if it allows enums - var numberVal = propInfo.enums == null ? parsedProp.value : null; - var haveNormNum = normalizedNumberVal != null; - var haveUnitedNum = numberVal != null; - var haveNum = haveNormNum || haveUnitedNum; - var units = parsedProp.units; - - // numbers are cheaper to hash than strings - // 1 hash op vs n hash ops (for length n string) - if (type.number && haveNum && !type.multiple) { - var v = haveNormNum ? normalizedNumberVal : numberVal; - updateGrKey(cleanNum(v), _grKey); - if (!haveNormNum && units != null) { - updateGrKeyWStr(units, _grKey); - } - } else { - updateGrKeyWStr(parsedProp.strValue, _grKey); - } - } - - // overall style key - // - - var hash = [DEFAULT_HASH_SEED, DEFAULT_HASH_SEED_ALT]; - for (var _i2 = 0; _i2 < propGrKeys.length; _i2++) { - var _grKey2 = propGrKeys[_i2]; - var grHash = _p.styleKeys[_grKey2]; - hash[0] = hashInt(grHash[0], hash[0]); - hash[1] = hashIntAlt(grHash[1], hash[1]); - } - _p.styleKey = combineHashes(hash[0], hash[1]); - - // label dims - // - - var sk = _p.styleKeys; - _p.labelDimsKey = combineHashesArray(sk.labelDimensions); - var labelKeys = propHash(ele, ['label'], sk.labelDimensions); - _p.labelKey = combineHashesArray(labelKeys); - _p.labelStyleKey = combineHashesArray(hashArrays(sk.commonLabel, labelKeys)); - if (!isNode) { - var sourceLabelKeys = propHash(ele, ['source-label'], sk.labelDimensions); - _p.sourceLabelKey = combineHashesArray(sourceLabelKeys); - _p.sourceLabelStyleKey = combineHashesArray(hashArrays(sk.commonLabel, sourceLabelKeys)); - var targetLabelKeys = propHash(ele, ['target-label'], sk.labelDimensions); - _p.targetLabelKey = combineHashesArray(targetLabelKeys); - _p.targetLabelStyleKey = combineHashesArray(hashArrays(sk.commonLabel, targetLabelKeys)); - } - - // node - // - - if (isNode) { - var _p$styleKeys = _p.styleKeys, - nodeBody = _p$styleKeys.nodeBody, - nodeBorder = _p$styleKeys.nodeBorder, - nodeOutline = _p$styleKeys.nodeOutline, - backgroundImage = _p$styleKeys.backgroundImage, - compound = _p$styleKeys.compound, - pie = _p$styleKeys.pie; - var nodeKeys = [nodeBody, nodeBorder, nodeOutline, backgroundImage, compound, pie].filter(function (k) { - return k != null; - }).reduce(hashArrays, [DEFAULT_HASH_SEED, DEFAULT_HASH_SEED_ALT]); - _p.nodeKey = combineHashesArray(nodeKeys); - _p.hasPie = pie != null && pie[0] !== DEFAULT_HASH_SEED && pie[1] !== DEFAULT_HASH_SEED_ALT; - } - return oldStyleKey !== _p.styleKey; - }; - styfn$8.clearStyleHints = function (ele) { - var _p = ele._private; - _p.styleCxtKey = ''; - _p.styleKeys = {}; - _p.styleKey = null; - _p.labelKey = null; - _p.labelStyleKey = null; - _p.sourceLabelKey = null; - _p.sourceLabelStyleKey = null; - _p.targetLabelKey = null; - _p.targetLabelStyleKey = null; - _p.nodeKey = null; - _p.hasPie = null; - }; - - // apply a property to the style (for internal use) - // returns whether application was successful - // - // now, this function flattens the property, and here's how: - // - // for parsedProp:{ bypass: true, deleteBypass: true } - // no property is generated, instead the bypass property in the - // element's style is replaced by what's pointed to by the `bypassed` - // field in the bypass property (i.e. restoring the property the - // bypass was overriding) - // - // for parsedProp:{ mapped: truthy } - // the generated flattenedProp:{ mapping: prop } - // - // for parsedProp:{ bypass: true } - // the generated flattenedProp:{ bypassed: parsedProp } - styfn$8.applyParsedProperty = function (ele, parsedProp) { - var self = this; - var prop = parsedProp; - var style = ele._private.style; - var flatProp; - var types = self.types; - var type = self.properties[prop.name].type; - var propIsBypass = prop.bypass; - var origProp = style[prop.name]; - var origPropIsBypass = origProp && origProp.bypass; - var _p = ele._private; - var flatPropMapping = 'mapping'; - var getVal = function getVal(p) { - if (p == null) { - return null; - } else if (p.pfValue != null) { - return p.pfValue; - } else { - return p.value; - } - }; - var checkTriggers = function checkTriggers() { - var fromVal = getVal(origProp); - var toVal = getVal(prop); - self.checkTriggers(ele, prop.name, fromVal, toVal); - }; - - // edge sanity checks to prevent the client from making serious mistakes - if (parsedProp.name === 'curve-style' && ele.isEdge() && ( - // loops must be bundled beziers - parsedProp.value !== 'bezier' && ele.isLoop() || - // edges connected to compound nodes can not be haystacks - parsedProp.value === 'haystack' && (ele.source().isParent() || ele.target().isParent()))) { - prop = parsedProp = this.parse(parsedProp.name, 'bezier', propIsBypass); - } - if (prop["delete"]) { - // delete the property and use the default value on falsey value - style[prop.name] = undefined; - checkTriggers(); - return true; - } - if (prop.deleteBypassed) { - // delete the property that the - if (!origProp) { - checkTriggers(); - return true; // can't delete if no prop - } else if (origProp.bypass) { - // delete bypassed - origProp.bypassed = undefined; - checkTriggers(); - return true; - } else { - return false; // we're unsuccessful deleting the bypassed - } - } - - // check if we need to delete the current bypass - if (prop.deleteBypass) { - // then this property is just here to indicate we need to delete - if (!origProp) { - checkTriggers(); - return true; // property is already not defined - } else if (origProp.bypass) { - // then replace the bypass property with the original - // because the bypassed property was already applied (and therefore parsed), we can just replace it (no reapplying necessary) - style[prop.name] = origProp.bypassed; - checkTriggers(); - return true; - } else { - return false; // we're unsuccessful deleting the bypass - } - } - - var printMappingErr = function printMappingErr() { - warn('Do not assign mappings to elements without corresponding data (i.e. ele `' + ele.id() + '` has no mapping for property `' + prop.name + '` with data field `' + prop.field + '`); try a `[' + prop.field + ']` selector to limit scope to elements with `' + prop.field + '` defined'); - }; - - // put the property in the style objects - switch (prop.mapped) { - // flatten the property if mapped - case types.mapData: - { - // flatten the field (e.g. data.foo.bar) - var fields = prop.field.split('.'); - var fieldVal = _p.data; - for (var i = 0; i < fields.length && fieldVal; i++) { - var field = fields[i]; - fieldVal = fieldVal[field]; - } - if (fieldVal == null) { - printMappingErr(); - return false; - } - var percent; - if (!number$1(fieldVal)) { - // then don't apply and fall back on the existing style - warn('Do not use continuous mappers without specifying numeric data (i.e. `' + prop.field + ': ' + fieldVal + '` for `' + ele.id() + '` is non-numeric)'); - return false; - } else { - var fieldWidth = prop.fieldMax - prop.fieldMin; - if (fieldWidth === 0) { - // safety check -- not strictly necessary as no props of zero range should be passed here - percent = 0; - } else { - percent = (fieldVal - prop.fieldMin) / fieldWidth; - } - } - - // make sure to bound percent value - if (percent < 0) { - percent = 0; - } else if (percent > 1) { - percent = 1; - } - if (type.color) { - var r1 = prop.valueMin[0]; - var r2 = prop.valueMax[0]; - var g1 = prop.valueMin[1]; - var g2 = prop.valueMax[1]; - var b1 = prop.valueMin[2]; - var b2 = prop.valueMax[2]; - var a1 = prop.valueMin[3] == null ? 1 : prop.valueMin[3]; - var a2 = prop.valueMax[3] == null ? 1 : prop.valueMax[3]; - var clr = [Math.round(r1 + (r2 - r1) * percent), Math.round(g1 + (g2 - g1) * percent), Math.round(b1 + (b2 - b1) * percent), Math.round(a1 + (a2 - a1) * percent)]; - flatProp = { - // colours are simple, so just create the flat property instead of expensive string parsing - bypass: prop.bypass, - // we're a bypass if the mapping property is a bypass - name: prop.name, - value: clr, - strValue: 'rgb(' + clr[0] + ', ' + clr[1] + ', ' + clr[2] + ')' - }; - } else if (type.number) { - var calcValue = prop.valueMin + (prop.valueMax - prop.valueMin) * percent; - flatProp = this.parse(prop.name, calcValue, prop.bypass, flatPropMapping); - } else { - return false; // can only map to colours and numbers - } - - if (!flatProp) { - // if we can't flatten the property, then don't apply the property and fall back on the existing style - printMappingErr(); - return false; - } - flatProp.mapping = prop; // keep a reference to the mapping - prop = flatProp; // the flattened (mapped) property is the one we want - - break; - } - - // direct mapping - case types.data: - { - // flatten the field (e.g. data.foo.bar) - var _fields = prop.field.split('.'); - var _fieldVal = _p.data; - for (var _i3 = 0; _i3 < _fields.length && _fieldVal; _i3++) { - var _field = _fields[_i3]; - _fieldVal = _fieldVal[_field]; - } - if (_fieldVal != null) { - flatProp = this.parse(prop.name, _fieldVal, prop.bypass, flatPropMapping); - } - if (!flatProp) { - // if we can't flatten the property, then don't apply and fall back on the existing style - printMappingErr(); - return false; - } - flatProp.mapping = prop; // keep a reference to the mapping - prop = flatProp; // the flattened (mapped) property is the one we want - - break; - } - case types.fn: - { - var fn = prop.value; - var fnRetVal = prop.fnValue != null ? prop.fnValue : fn(ele); // check for cached value before calling function - - prop.prevFnValue = fnRetVal; - if (fnRetVal == null) { - warn('Custom function mappers may not return null (i.e. `' + prop.name + '` for ele `' + ele.id() + '` is null)'); - return false; - } - flatProp = this.parse(prop.name, fnRetVal, prop.bypass, flatPropMapping); - if (!flatProp) { - warn('Custom function mappers may not return invalid values for the property type (i.e. `' + prop.name + '` for ele `' + ele.id() + '` is invalid)'); - return false; - } - flatProp.mapping = copy(prop); // keep a reference to the mapping - prop = flatProp; // the flattened (mapped) property is the one we want - - break; - } - case undefined: - break; - // just set the property - - default: - return false; - // not a valid mapping - } - - // if the property is a bypass property, then link the resultant property to the original one - if (propIsBypass) { - if (origPropIsBypass) { - // then this bypass overrides the existing one - prop.bypassed = origProp.bypassed; // steal bypassed prop from old bypass - } else { - // then link the orig prop to the new bypass - prop.bypassed = origProp; - } - style[prop.name] = prop; // and set - } else { - // prop is not bypass - if (origPropIsBypass) { - // then keep the orig prop (since it's a bypass) and link to the new prop - origProp.bypassed = prop; - } else { - // then just replace the old prop with the new one - style[prop.name] = prop; - } - } - checkTriggers(); - return true; - }; - styfn$8.cleanElements = function (eles, keepBypasses) { - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - this.clearStyleHints(ele); - ele.dirtyCompoundBoundsCache(); - ele.dirtyBoundingBoxCache(); - if (!keepBypasses) { - ele._private.style = {}; - } else { - var style = ele._private.style; - var propNames = Object.keys(style); - for (var j = 0; j < propNames.length; j++) { - var propName = propNames[j]; - var eleProp = style[propName]; - if (eleProp != null) { - if (eleProp.bypass) { - eleProp.bypassed = null; - } else { - style[propName] = null; - } - } - } - } - } - }; - - // updates the visual style for all elements (useful for manual style modification after init) - styfn$8.update = function () { - var cy = this._private.cy; - var eles = cy.mutableElements(); - eles.updateStyle(); - }; - - // diffProps : { name => { prev, next } } - styfn$8.updateTransitions = function (ele, diffProps) { - var self = this; - var _p = ele._private; - var props = ele.pstyle('transition-property').value; - var duration = ele.pstyle('transition-duration').pfValue; - var delay = ele.pstyle('transition-delay').pfValue; - if (props.length > 0 && duration > 0) { - var style = {}; - - // build up the style to animate towards - var anyPrev = false; - for (var i = 0; i < props.length; i++) { - var prop = props[i]; - var styProp = ele.pstyle(prop); - var diffProp = diffProps[prop]; - if (!diffProp) { - continue; - } - var prevProp = diffProp.prev; - var fromProp = prevProp; - var toProp = diffProp.next != null ? diffProp.next : styProp; - var diff = false; - var initVal = void 0; - var initDt = 0.000001; // delta time % value for initVal (allows animating out of init zero opacity) - - if (!fromProp) { - continue; - } - - // consider px values - if (number$1(fromProp.pfValue) && number$1(toProp.pfValue)) { - diff = toProp.pfValue - fromProp.pfValue; // nonzero is truthy - initVal = fromProp.pfValue + initDt * diff; - - // consider numerical values - } else if (number$1(fromProp.value) && number$1(toProp.value)) { - diff = toProp.value - fromProp.value; // nonzero is truthy - initVal = fromProp.value + initDt * diff; - - // consider colour values - } else if (array(fromProp.value) && array(toProp.value)) { - diff = fromProp.value[0] !== toProp.value[0] || fromProp.value[1] !== toProp.value[1] || fromProp.value[2] !== toProp.value[2]; - initVal = fromProp.strValue; - } - - // the previous value is good for an animation only if it's different - if (diff) { - style[prop] = toProp.strValue; // to val - this.applyBypass(ele, prop, initVal); // from val - anyPrev = true; - } - } // end if props allow ani - - // can't transition if there's nothing previous to transition from - if (!anyPrev) { - return; - } - _p.transitioning = true; - new Promise$1(function (resolve) { - if (delay > 0) { - ele.delayAnimation(delay).play().promise().then(resolve); - } else { - resolve(); - } - }).then(function () { - return ele.animation({ - style: style, - duration: duration, - easing: ele.pstyle('transition-timing-function').value, - queue: false - }).play().promise(); - }).then(function () { - // if( !isBypass ){ - self.removeBypasses(ele, props); - ele.emitAndNotify('style'); - // } - - _p.transitioning = false; - }); - } else if (_p.transitioning) { - this.removeBypasses(ele, props); - ele.emitAndNotify('style'); - _p.transitioning = false; - } - }; - styfn$8.checkTrigger = function (ele, name, fromValue, toValue, getTrigger, onTrigger) { - var prop = this.properties[name]; - var triggerCheck = getTrigger(prop); - if (triggerCheck != null && triggerCheck(fromValue, toValue)) { - onTrigger(prop); - } - }; - styfn$8.checkZOrderTrigger = function (ele, name, fromValue, toValue) { - var _this = this; - this.checkTrigger(ele, name, fromValue, toValue, function (prop) { - return prop.triggersZOrder; - }, function () { - _this._private.cy.notify('zorder', ele); - }); - }; - styfn$8.checkBoundsTrigger = function (ele, name, fromValue, toValue) { - this.checkTrigger(ele, name, fromValue, toValue, function (prop) { - return prop.triggersBounds; - }, function (prop) { - ele.dirtyCompoundBoundsCache(); - ele.dirtyBoundingBoxCache(); - - // if the prop change makes the bb of pll bezier edges invalid, - // then dirty the pll edge bb cache as well - if ( - // only for beziers -- so performance of other edges isn't affected - prop.triggersBoundsOfParallelBeziers && name === 'curve-style' && (fromValue === 'bezier' || toValue === 'bezier')) { - ele.parallelEdges().forEach(function (pllEdge) { - if (pllEdge.isBundledBezier()) { - pllEdge.dirtyBoundingBoxCache(); - } - }); - } - if (prop.triggersBoundsOfConnectedEdges && name === 'display' && (fromValue === 'none' || toValue === 'none')) { - ele.connectedEdges().forEach(function (edge) { - edge.dirtyBoundingBoxCache(); - }); - } - }); - }; - styfn$8.checkTriggers = function (ele, name, fromValue, toValue) { - ele.dirtyStyleCache(); - this.checkZOrderTrigger(ele, name, fromValue, toValue); - this.checkBoundsTrigger(ele, name, fromValue, toValue); - }; - - var styfn$7 = {}; - - // bypasses are applied to an existing style on an element, and just tacked on temporarily - // returns true iff application was successful for at least 1 specified property - styfn$7.applyBypass = function (eles, name, value, updateTransitions) { - var self = this; - var props = []; - var isBypass = true; - - // put all the properties (can specify one or many) in an array after parsing them - if (name === '*' || name === '**') { - // apply to all property names - - if (value !== undefined) { - for (var i = 0; i < self.properties.length; i++) { - var prop = self.properties[i]; - var _name = prop.name; - var parsedProp = this.parse(_name, value, true); - if (parsedProp) { - props.push(parsedProp); - } - } - } - } else if (string(name)) { - // then parse the single property - var _parsedProp = this.parse(name, value, true); - if (_parsedProp) { - props.push(_parsedProp); - } - } else if (plainObject(name)) { - // then parse each property - var specifiedProps = name; - updateTransitions = value; - var names = Object.keys(specifiedProps); - for (var _i = 0; _i < names.length; _i++) { - var _name2 = names[_i]; - var _value = specifiedProps[_name2]; - if (_value === undefined) { - // try camel case name too - _value = specifiedProps[dash2camel(_name2)]; - } - if (_value !== undefined) { - var _parsedProp2 = this.parse(_name2, _value, true); - if (_parsedProp2) { - props.push(_parsedProp2); - } - } - } - } else { - // can't do anything without well defined properties - return false; - } - - // we've failed if there are no valid properties - if (props.length === 0) { - return false; - } - - // now, apply the bypass properties on the elements - var ret = false; // return true if at least one succesful bypass applied - for (var _i2 = 0; _i2 < eles.length; _i2++) { - // for each ele - var ele = eles[_i2]; - var diffProps = {}; - var diffProp = void 0; - for (var j = 0; j < props.length; j++) { - // for each prop - var _prop = props[j]; - if (updateTransitions) { - var prevProp = ele.pstyle(_prop.name); - diffProp = diffProps[_prop.name] = { - prev: prevProp - }; - } - ret = this.applyParsedProperty(ele, copy(_prop)) || ret; - if (updateTransitions) { - diffProp.next = ele.pstyle(_prop.name); - } - } // for props - - if (ret) { - this.updateStyleHints(ele); - } - if (updateTransitions) { - this.updateTransitions(ele, diffProps, isBypass); - } - } // for eles - - return ret; - }; - - // only useful in specific cases like animation - styfn$7.overrideBypass = function (eles, name, value) { - name = camel2dash(name); - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var prop = ele._private.style[name]; - var type = this.properties[name].type; - var isColor = type.color; - var isMulti = type.mutiple; - var oldValue = !prop ? null : prop.pfValue != null ? prop.pfValue : prop.value; - if (!prop || !prop.bypass) { - // need a bypass if one doesn't exist - this.applyBypass(ele, name, value); - } else { - prop.value = value; - if (prop.pfValue != null) { - prop.pfValue = value; - } - if (isColor) { - prop.strValue = 'rgb(' + value.join(',') + ')'; - } else if (isMulti) { - prop.strValue = value.join(' '); - } else { - prop.strValue = '' + value; - } - this.updateStyleHints(ele); - } - this.checkTriggers(ele, name, oldValue, value); - } - }; - styfn$7.removeAllBypasses = function (eles, updateTransitions) { - return this.removeBypasses(eles, this.propertyNames, updateTransitions); - }; - styfn$7.removeBypasses = function (eles, props, updateTransitions) { - var isBypass = true; - for (var j = 0; j < eles.length; j++) { - var ele = eles[j]; - var diffProps = {}; - for (var i = 0; i < props.length; i++) { - var name = props[i]; - var prop = this.properties[name]; - var prevProp = ele.pstyle(prop.name); - if (!prevProp || !prevProp.bypass) { - // if a bypass doesn't exist for the prop, nothing needs to be removed - continue; - } - var value = ''; // empty => remove bypass - var parsedProp = this.parse(name, value, true); - var diffProp = diffProps[prop.name] = { - prev: prevProp - }; - this.applyParsedProperty(ele, parsedProp); - diffProp.next = ele.pstyle(prop.name); - } // for props - - this.updateStyleHints(ele); - if (updateTransitions) { - this.updateTransitions(ele, diffProps, isBypass); - } - } // for eles - }; - - var styfn$6 = {}; - - // gets what an em size corresponds to in pixels relative to a dom element - styfn$6.getEmSizeInPixels = function () { - var px = this.containerCss('font-size'); - if (px != null) { - return parseFloat(px); - } else { - return 1; // for headless - } - }; - - // gets css property from the core container - styfn$6.containerCss = function (propName) { - var cy = this._private.cy; - var domElement = cy.container(); - var containerWindow = cy.window(); - if (containerWindow && domElement && containerWindow.getComputedStyle) { - return containerWindow.getComputedStyle(domElement).getPropertyValue(propName); - } - }; - - var styfn$5 = {}; - - // gets the rendered style for an element - styfn$5.getRenderedStyle = function (ele, prop) { - if (prop) { - return this.getStylePropertyValue(ele, prop, true); - } else { - return this.getRawStyle(ele, true); - } - }; - - // gets the raw style for an element - styfn$5.getRawStyle = function (ele, isRenderedVal) { - var self = this; - ele = ele[0]; // insure it's an element - - if (ele) { - var rstyle = {}; - for (var i = 0; i < self.properties.length; i++) { - var prop = self.properties[i]; - var val = self.getStylePropertyValue(ele, prop.name, isRenderedVal); - if (val != null) { - rstyle[prop.name] = val; - rstyle[dash2camel(prop.name)] = val; - } - } - return rstyle; - } - }; - styfn$5.getIndexedStyle = function (ele, property, subproperty, index) { - var pstyle = ele.pstyle(property)[subproperty][index]; - return pstyle != null ? pstyle : ele.cy().style().getDefaultProperty(property)[subproperty][0]; - }; - styfn$5.getStylePropertyValue = function (ele, propName, isRenderedVal) { - var self = this; - ele = ele[0]; // insure it's an element - - if (ele) { - var prop = self.properties[propName]; - if (prop.alias) { - prop = prop.pointsTo; - } - var type = prop.type; - var styleProp = ele.pstyle(prop.name); - if (styleProp) { - var value = styleProp.value, - units = styleProp.units, - strValue = styleProp.strValue; - if (isRenderedVal && type.number && value != null && number$1(value)) { - var zoom = ele.cy().zoom(); - var getRenderedValue = function getRenderedValue(val) { - return val * zoom; - }; - var getValueStringWithUnits = function getValueStringWithUnits(val, units) { - return getRenderedValue(val) + units; - }; - var isArrayValue = array(value); - var haveUnits = isArrayValue ? units.every(function (u) { - return u != null; - }) : units != null; - if (haveUnits) { - if (isArrayValue) { - return value.map(function (v, i) { - return getValueStringWithUnits(v, units[i]); - }).join(' '); - } else { - return getValueStringWithUnits(value, units); - } - } else { - if (isArrayValue) { - return value.map(function (v) { - return string(v) ? v : '' + getRenderedValue(v); - }).join(' '); - } else { - return '' + getRenderedValue(value); - } - } - } else if (strValue != null) { - return strValue; - } - } - return null; - } - }; - styfn$5.getAnimationStartStyle = function (ele, aniProps) { - var rstyle = {}; - for (var i = 0; i < aniProps.length; i++) { - var aniProp = aniProps[i]; - var name = aniProp.name; - var styleProp = ele.pstyle(name); - if (styleProp !== undefined) { - // then make a prop of it - if (plainObject(styleProp)) { - styleProp = this.parse(name, styleProp.strValue); - } else { - styleProp = this.parse(name, styleProp); - } - } - if (styleProp) { - rstyle[name] = styleProp; - } - } - return rstyle; - }; - styfn$5.getPropsList = function (propsObj) { - var self = this; - var rstyle = []; - var style = propsObj; - var props = self.properties; - if (style) { - var names = Object.keys(style); - for (var i = 0; i < names.length; i++) { - var name = names[i]; - var val = style[name]; - var prop = props[name] || props[camel2dash(name)]; - var styleProp = this.parse(prop.name, val); - if (styleProp) { - rstyle.push(styleProp); - } - } - } - return rstyle; - }; - styfn$5.getNonDefaultPropertiesHash = function (ele, propNames, seed) { - var hash = seed.slice(); - var name, val, strVal, chVal; - var i, j; - for (i = 0; i < propNames.length; i++) { - name = propNames[i]; - val = ele.pstyle(name, false); - if (val == null) { - continue; - } else if (val.pfValue != null) { - hash[0] = hashInt(chVal, hash[0]); - hash[1] = hashIntAlt(chVal, hash[1]); - } else { - strVal = val.strValue; - for (j = 0; j < strVal.length; j++) { - chVal = strVal.charCodeAt(j); - hash[0] = hashInt(chVal, hash[0]); - hash[1] = hashIntAlt(chVal, hash[1]); - } - } - } - return hash; - }; - styfn$5.getPropertiesHash = styfn$5.getNonDefaultPropertiesHash; - - var styfn$4 = {}; - styfn$4.appendFromJson = function (json) { - var style = this; - for (var i = 0; i < json.length; i++) { - var context = json[i]; - var selector = context.selector; - var props = context.style || context.css; - var names = Object.keys(props); - style.selector(selector); // apply selector - - for (var j = 0; j < names.length; j++) { - var name = names[j]; - var value = props[name]; - style.css(name, value); // apply property - } - } - - return style; - }; - - // accessible cy.style() function - styfn$4.fromJson = function (json) { - var style = this; - style.resetToDefault(); - style.appendFromJson(json); - return style; - }; - - // get json from cy.style() api - styfn$4.json = function () { - var json = []; - for (var i = this.defaultLength; i < this.length; i++) { - var cxt = this[i]; - var selector = cxt.selector; - var props = cxt.properties; - var css = {}; - for (var j = 0; j < props.length; j++) { - var prop = props[j]; - css[prop.name] = prop.strValue; - } - json.push({ - selector: !selector ? 'core' : selector.toString(), - style: css - }); - } - return json; - }; - - var styfn$3 = {}; - styfn$3.appendFromString = function (string) { - var self = this; - var style = this; - var remaining = '' + string; - var selAndBlockStr; - var blockRem; - var propAndValStr; - - // remove comments from the style string - remaining = remaining.replace(/[/][*](\s|.)+?[*][/]/g, ''); - function removeSelAndBlockFromRemaining() { - // remove the parsed selector and block from the remaining text to parse - if (remaining.length > selAndBlockStr.length) { - remaining = remaining.substr(selAndBlockStr.length); - } else { - remaining = ''; - } - } - function removePropAndValFromRem() { - // remove the parsed property and value from the remaining block text to parse - if (blockRem.length > propAndValStr.length) { - blockRem = blockRem.substr(propAndValStr.length); - } else { - blockRem = ''; - } - } - for (;;) { - var nothingLeftToParse = remaining.match(/^\s*$/); - if (nothingLeftToParse) { - break; - } - var selAndBlock = remaining.match(/^\s*((?:.|\s)+?)\s*\{((?:.|\s)+?)\}/); - if (!selAndBlock) { - warn('Halting stylesheet parsing: String stylesheet contains more to parse but no selector and block found in: ' + remaining); - break; - } - selAndBlockStr = selAndBlock[0]; - - // parse the selector - var selectorStr = selAndBlock[1]; - if (selectorStr !== 'core') { - var selector = new Selector(selectorStr); - if (selector.invalid) { - warn('Skipping parsing of block: Invalid selector found in string stylesheet: ' + selectorStr); - - // skip this selector and block - removeSelAndBlockFromRemaining(); - continue; - } - } - - // parse the block of properties and values - var blockStr = selAndBlock[2]; - var invalidBlock = false; - blockRem = blockStr; - var props = []; - for (;;) { - var _nothingLeftToParse = blockRem.match(/^\s*$/); - if (_nothingLeftToParse) { - break; - } - var propAndVal = blockRem.match(/^\s*(.+?)\s*:\s*(.+?)(?:\s*;|\s*$)/); - if (!propAndVal) { - warn('Skipping parsing of block: Invalid formatting of style property and value definitions found in:' + blockStr); - invalidBlock = true; - break; - } - propAndValStr = propAndVal[0]; - var propStr = propAndVal[1]; - var valStr = propAndVal[2]; - var prop = self.properties[propStr]; - if (!prop) { - warn('Skipping property: Invalid property name in: ' + propAndValStr); - - // skip this property in the block - removePropAndValFromRem(); - continue; - } - var parsedProp = style.parse(propStr, valStr); - if (!parsedProp) { - warn('Skipping property: Invalid property definition in: ' + propAndValStr); - - // skip this property in the block - removePropAndValFromRem(); - continue; - } - props.push({ - name: propStr, - val: valStr - }); - removePropAndValFromRem(); - } - if (invalidBlock) { - removeSelAndBlockFromRemaining(); - break; - } - - // put the parsed block in the style - style.selector(selectorStr); - for (var i = 0; i < props.length; i++) { - var _prop = props[i]; - style.css(_prop.name, _prop.val); - } - removeSelAndBlockFromRemaining(); - } - return style; - }; - styfn$3.fromString = function (string) { - var style = this; - style.resetToDefault(); - style.appendFromString(string); - return style; - }; - - var styfn$2 = {}; - (function () { - var number$1 = number; - var rgba = rgbaNoBackRefs; - var hsla = hslaNoBackRefs; - var hex3$1 = hex3; - var hex6$1 = hex6; - var data = function data(prefix) { - return '^' + prefix + '\\s*\\(\\s*([\\w\\.]+)\\s*\\)$'; - }; - var mapData = function mapData(prefix) { - var mapArg = number$1 + '|\\w+|' + rgba + '|' + hsla + '|' + hex3$1 + '|' + hex6$1; - return '^' + prefix + '\\s*\\(([\\w\\.]+)\\s*\\,\\s*(' + number$1 + ')\\s*\\,\\s*(' + number$1 + ')\\s*,\\s*(' + mapArg + ')\\s*\\,\\s*(' + mapArg + ')\\)$'; - }; - var urlRegexes = ['^url\\s*\\(\\s*[\'"]?(.+?)[\'"]?\\s*\\)$', '^(none)$', '^(.+)$']; - - // each visual style property has a type and needs to be validated according to it - styfn$2.types = { - time: { - number: true, - min: 0, - units: 's|ms', - implicitUnits: 'ms' - }, - percent: { - number: true, - min: 0, - max: 100, - units: '%', - implicitUnits: '%' - }, - percentages: { - number: true, - min: 0, - max: 100, - units: '%', - implicitUnits: '%', - multiple: true - }, - zeroOneNumber: { - number: true, - min: 0, - max: 1, - unitless: true - }, - zeroOneNumbers: { - number: true, - min: 0, - max: 1, - unitless: true, - multiple: true - }, - nOneOneNumber: { - number: true, - min: -1, - max: 1, - unitless: true - }, - nonNegativeInt: { - number: true, - min: 0, - integer: true, - unitless: true - }, - nonNegativeNumber: { - number: true, - min: 0, - unitless: true - }, - position: { - enums: ['parent', 'origin'] - }, - nodeSize: { - number: true, - min: 0, - enums: ['label'] - }, - number: { - number: true, - unitless: true - }, - numbers: { - number: true, - unitless: true, - multiple: true - }, - positiveNumber: { - number: true, - unitless: true, - min: 0, - strictMin: true - }, - size: { - number: true, - min: 0 - }, - bidirectionalSize: { - number: true - }, - // allows negative - bidirectionalSizeMaybePercent: { - number: true, - allowPercent: true - }, - // allows negative - bidirectionalSizes: { - number: true, - multiple: true - }, - // allows negative - sizeMaybePercent: { - number: true, - min: 0, - allowPercent: true - }, - axisDirection: { - enums: ['horizontal', 'leftward', 'rightward', 'vertical', 'upward', 'downward', 'auto'] - }, - paddingRelativeTo: { - enums: ['width', 'height', 'average', 'min', 'max'] - }, - bgWH: { - number: true, - min: 0, - allowPercent: true, - enums: ['auto'], - multiple: true - }, - bgPos: { - number: true, - allowPercent: true, - multiple: true - }, - bgRelativeTo: { - enums: ['inner', 'include-padding'], - multiple: true - }, - bgRepeat: { - enums: ['repeat', 'repeat-x', 'repeat-y', 'no-repeat'], - multiple: true - }, - bgFit: { - enums: ['none', 'contain', 'cover'], - multiple: true - }, - bgCrossOrigin: { - enums: ['anonymous', 'use-credentials', 'null'], - multiple: true - }, - bgClip: { - enums: ['none', 'node'], - multiple: true - }, - bgContainment: { - enums: ['inside', 'over'], - multiple: true - }, - color: { - color: true - }, - colors: { - color: true, - multiple: true - }, - fill: { - enums: ['solid', 'linear-gradient', 'radial-gradient'] - }, - bool: { - enums: ['yes', 'no'] - }, - bools: { - enums: ['yes', 'no'], - multiple: true - }, - lineStyle: { - enums: ['solid', 'dotted', 'dashed'] - }, - lineCap: { - enums: ['butt', 'round', 'square'] - }, - borderStyle: { - enums: ['solid', 'dotted', 'dashed', 'double'] - }, - curveStyle: { - enums: ['bezier', 'unbundled-bezier', 'haystack', 'segments', 'straight', 'straight-triangle', 'taxi'] - }, - fontFamily: { - regex: '^([\\w- \\"]+(?:\\s*,\\s*[\\w- \\"]+)*)$' - }, - fontStyle: { - enums: ['italic', 'normal', 'oblique'] - }, - fontWeight: { - enums: ['normal', 'bold', 'bolder', 'lighter', '100', '200', '300', '400', '500', '600', '800', '900', 100, 200, 300, 400, 500, 600, 700, 800, 900] - }, - textDecoration: { - enums: ['none', 'underline', 'overline', 'line-through'] - }, - textTransform: { - enums: ['none', 'uppercase', 'lowercase'] - }, - textWrap: { - enums: ['none', 'wrap', 'ellipsis'] - }, - textOverflowWrap: { - enums: ['whitespace', 'anywhere'] - }, - textBackgroundShape: { - enums: ['rectangle', 'roundrectangle', 'round-rectangle'] - }, - nodeShape: { - enums: ['rectangle', 'roundrectangle', 'round-rectangle', 'cutrectangle', 'cut-rectangle', 'bottomroundrectangle', 'bottom-round-rectangle', 'barrel', 'ellipse', 'triangle', 'round-triangle', 'square', 'pentagon', 'round-pentagon', 'hexagon', 'round-hexagon', 'concavehexagon', 'concave-hexagon', 'heptagon', 'round-heptagon', 'octagon', 'round-octagon', 'tag', 'round-tag', 'star', 'diamond', 'round-diamond', 'vee', 'rhomboid', 'right-rhomboid', 'polygon'] - }, - overlayShape: { - enums: ['roundrectangle', 'round-rectangle', 'ellipse'] - }, - compoundIncludeLabels: { - enums: ['include', 'exclude'] - }, - arrowShape: { - enums: ['tee', 'triangle', 'triangle-tee', 'circle-triangle', 'triangle-cross', 'triangle-backcurve', 'vee', 'square', 'circle', 'diamond', 'chevron', 'none'] - }, - arrowFill: { - enums: ['filled', 'hollow'] - }, - arrowWidth: { - number: true, - units: '%|px|em', - implicitUnits: 'px', - enums: ['match-line'] - }, - display: { - enums: ['element', 'none'] - }, - visibility: { - enums: ['hidden', 'visible'] - }, - zCompoundDepth: { - enums: ['bottom', 'orphan', 'auto', 'top'] - }, - zIndexCompare: { - enums: ['auto', 'manual'] - }, - valign: { - enums: ['top', 'center', 'bottom'] - }, - halign: { - enums: ['left', 'center', 'right'] - }, - justification: { - enums: ['left', 'center', 'right', 'auto'] - }, - text: { - string: true - }, - data: { - mapping: true, - regex: data('data') - }, - layoutData: { - mapping: true, - regex: data('layoutData') - }, - scratch: { - mapping: true, - regex: data('scratch') - }, - mapData: { - mapping: true, - regex: mapData('mapData') - }, - mapLayoutData: { - mapping: true, - regex: mapData('mapLayoutData') - }, - mapScratch: { - mapping: true, - regex: mapData('mapScratch') - }, - fn: { - mapping: true, - fn: true - }, - url: { - regexes: urlRegexes, - singleRegexMatchValue: true - }, - urls: { - regexes: urlRegexes, - singleRegexMatchValue: true, - multiple: true - }, - propList: { - propList: true - }, - angle: { - number: true, - units: 'deg|rad', - implicitUnits: 'rad' - }, - textRotation: { - number: true, - units: 'deg|rad', - implicitUnits: 'rad', - enums: ['none', 'autorotate'] - }, - polygonPointList: { - number: true, - multiple: true, - evenMultiple: true, - min: -1, - max: 1, - unitless: true - }, - edgeDistances: { - enums: ['intersection', 'node-position', 'endpoints'] - }, - edgeEndpoint: { - number: true, - multiple: true, - units: '%|px|em|deg|rad', - implicitUnits: 'px', - enums: ['inside-to-node', 'outside-to-node', 'outside-to-node-or-label', 'outside-to-line', 'outside-to-line-or-label'], - singleEnum: true, - validate: function validate(valArr, unitsArr) { - switch (valArr.length) { - case 2: - // can be % or px only - return unitsArr[0] !== 'deg' && unitsArr[0] !== 'rad' && unitsArr[1] !== 'deg' && unitsArr[1] !== 'rad'; - case 1: - // can be enum, deg, or rad only - return string(valArr[0]) || unitsArr[0] === 'deg' || unitsArr[0] === 'rad'; - default: - return false; - } - } - }, - easing: { - regexes: ['^(spring)\\s*\\(\\s*(' + number$1 + ')\\s*,\\s*(' + number$1 + ')\\s*\\)$', '^(cubic-bezier)\\s*\\(\\s*(' + number$1 + ')\\s*,\\s*(' + number$1 + ')\\s*,\\s*(' + number$1 + ')\\s*,\\s*(' + number$1 + ')\\s*\\)$'], - enums: ['linear', 'ease', 'ease-in', 'ease-out', 'ease-in-out', 'ease-in-sine', 'ease-out-sine', 'ease-in-out-sine', 'ease-in-quad', 'ease-out-quad', 'ease-in-out-quad', 'ease-in-cubic', 'ease-out-cubic', 'ease-in-out-cubic', 'ease-in-quart', 'ease-out-quart', 'ease-in-out-quart', 'ease-in-quint', 'ease-out-quint', 'ease-in-out-quint', 'ease-in-expo', 'ease-out-expo', 'ease-in-out-expo', 'ease-in-circ', 'ease-out-circ', 'ease-in-out-circ'] - }, - gradientDirection: { - enums: ['to-bottom', 'to-top', 'to-left', 'to-right', 'to-bottom-right', 'to-bottom-left', 'to-top-right', 'to-top-left', 'to-right-bottom', 'to-left-bottom', 'to-right-top', 'to-left-top' // different order - ] - }, - - boundsExpansion: { - number: true, - multiple: true, - min: 0, - validate: function validate(valArr) { - var length = valArr.length; - return length === 1 || length === 2 || length === 4; - } - } - }; - var diff = { - zeroNonZero: function zeroNonZero(val1, val2) { - if ((val1 == null || val2 == null) && val1 !== val2) { - return true; // null cases could represent any value - } - if (val1 == 0 && val2 != 0) { - return true; - } else if (val1 != 0 && val2 == 0) { - return true; - } else { - return false; - } - }, - any: function any(val1, val2) { - return val1 != val2; - }, - emptyNonEmpty: function emptyNonEmpty(str1, str2) { - var empty1 = emptyString(str1); - var empty2 = emptyString(str2); - return empty1 && !empty2 || !empty1 && empty2; - } - }; - - // define visual style properties - // - // - n.b. adding a new group of props may require updates to updateStyleHints() - // - adding new props to an existing group gets handled automatically - - var t = styfn$2.types; - var mainLabel = [{ - name: 'label', - type: t.text, - triggersBounds: diff.any, - triggersZOrder: diff.emptyNonEmpty - }, { - name: 'text-rotation', - type: t.textRotation, - triggersBounds: diff.any - }, { - name: 'text-margin-x', - type: t.bidirectionalSize, - triggersBounds: diff.any - }, { - name: 'text-margin-y', - type: t.bidirectionalSize, - triggersBounds: diff.any - }]; - var sourceLabel = [{ - name: 'source-label', - type: t.text, - triggersBounds: diff.any - }, { - name: 'source-text-rotation', - type: t.textRotation, - triggersBounds: diff.any - }, { - name: 'source-text-margin-x', - type: t.bidirectionalSize, - triggersBounds: diff.any - }, { - name: 'source-text-margin-y', - type: t.bidirectionalSize, - triggersBounds: diff.any - }, { - name: 'source-text-offset', - type: t.size, - triggersBounds: diff.any - }]; - var targetLabel = [{ - name: 'target-label', - type: t.text, - triggersBounds: diff.any - }, { - name: 'target-text-rotation', - type: t.textRotation, - triggersBounds: diff.any - }, { - name: 'target-text-margin-x', - type: t.bidirectionalSize, - triggersBounds: diff.any - }, { - name: 'target-text-margin-y', - type: t.bidirectionalSize, - triggersBounds: diff.any - }, { - name: 'target-text-offset', - type: t.size, - triggersBounds: diff.any - }]; - var labelDimensions = [{ - name: 'font-family', - type: t.fontFamily, - triggersBounds: diff.any - }, { - name: 'font-style', - type: t.fontStyle, - triggersBounds: diff.any - }, { - name: 'font-weight', - type: t.fontWeight, - triggersBounds: diff.any - }, { - name: 'font-size', - type: t.size, - triggersBounds: diff.any - }, { - name: 'text-transform', - type: t.textTransform, - triggersBounds: diff.any - }, { - name: 'text-wrap', - type: t.textWrap, - triggersBounds: diff.any - }, { - name: 'text-overflow-wrap', - type: t.textOverflowWrap, - triggersBounds: diff.any - }, { - name: 'text-max-width', - type: t.size, - triggersBounds: diff.any - }, { - name: 'text-outline-width', - type: t.size, - triggersBounds: diff.any - }, { - name: 'line-height', - type: t.positiveNumber, - triggersBounds: diff.any - }]; - var commonLabel = [{ - name: 'text-valign', - type: t.valign, - triggersBounds: diff.any - }, { - name: 'text-halign', - type: t.halign, - triggersBounds: diff.any - }, { - name: 'color', - type: t.color - }, { - name: 'text-outline-color', - type: t.color - }, { - name: 'text-outline-opacity', - type: t.zeroOneNumber - }, { - name: 'text-background-color', - type: t.color - }, { - name: 'text-background-opacity', - type: t.zeroOneNumber - }, { - name: 'text-background-padding', - type: t.size, - triggersBounds: diff.any - }, { - name: 'text-border-opacity', - type: t.zeroOneNumber - }, { - name: 'text-border-color', - type: t.color - }, { - name: 'text-border-width', - type: t.size, - triggersBounds: diff.any - }, { - name: 'text-border-style', - type: t.borderStyle, - triggersBounds: diff.any - }, { - name: 'text-background-shape', - type: t.textBackgroundShape, - triggersBounds: diff.any - }, { - name: 'text-justification', - type: t.justification - }]; - var behavior = [{ - name: 'events', - type: t.bool, - triggersZOrder: diff.any - }, { - name: 'text-events', - type: t.bool, - triggersZOrder: diff.any - }]; - var visibility = [{ - name: 'display', - type: t.display, - triggersZOrder: diff.any, - triggersBounds: diff.any, - triggersBoundsOfConnectedEdges: true - }, { - name: 'visibility', - type: t.visibility, - triggersZOrder: diff.any - }, { - name: 'opacity', - type: t.zeroOneNumber, - triggersZOrder: diff.zeroNonZero - }, { - name: 'text-opacity', - type: t.zeroOneNumber - }, { - name: 'min-zoomed-font-size', - type: t.size - }, { - name: 'z-compound-depth', - type: t.zCompoundDepth, - triggersZOrder: diff.any - }, { - name: 'z-index-compare', - type: t.zIndexCompare, - triggersZOrder: diff.any - }, { - name: 'z-index', - type: t.number, - triggersZOrder: diff.any - }]; - var overlay = [{ - name: 'overlay-padding', - type: t.size, - triggersBounds: diff.any - }, { - name: 'overlay-color', - type: t.color - }, { - name: 'overlay-opacity', - type: t.zeroOneNumber, - triggersBounds: diff.zeroNonZero - }, { - name: 'overlay-shape', - type: t.overlayShape, - triggersBounds: diff.any - }]; - var underlay = [{ - name: 'underlay-padding', - type: t.size, - triggersBounds: diff.any - }, { - name: 'underlay-color', - type: t.color - }, { - name: 'underlay-opacity', - type: t.zeroOneNumber, - triggersBounds: diff.zeroNonZero - }, { - name: 'underlay-shape', - type: t.overlayShape, - triggersBounds: diff.any - }]; - var transition = [{ - name: 'transition-property', - type: t.propList - }, { - name: 'transition-duration', - type: t.time - }, { - name: 'transition-delay', - type: t.time - }, { - name: 'transition-timing-function', - type: t.easing - }]; - var nodeSizeHashOverride = function nodeSizeHashOverride(ele, parsedProp) { - if (parsedProp.value === 'label') { - return -ele.poolIndex(); // no hash key hits is using label size (hitrate for perf probably low anyway) - } else { - return parsedProp.pfValue; - } - }; - var nodeBody = [{ - name: 'height', - type: t.nodeSize, - triggersBounds: diff.any, - hashOverride: nodeSizeHashOverride - }, { - name: 'width', - type: t.nodeSize, - triggersBounds: diff.any, - hashOverride: nodeSizeHashOverride - }, { - name: 'shape', - type: t.nodeShape, - triggersBounds: diff.any - }, { - name: 'shape-polygon-points', - type: t.polygonPointList, - triggersBounds: diff.any - }, { - name: 'background-color', - type: t.color - }, { - name: 'background-fill', - type: t.fill - }, { - name: 'background-opacity', - type: t.zeroOneNumber - }, { - name: 'background-blacken', - type: t.nOneOneNumber - }, { - name: 'background-gradient-stop-colors', - type: t.colors - }, { - name: 'background-gradient-stop-positions', - type: t.percentages - }, { - name: 'background-gradient-direction', - type: t.gradientDirection - }, { - name: 'padding', - type: t.sizeMaybePercent, - triggersBounds: diff.any - }, { - name: 'padding-relative-to', - type: t.paddingRelativeTo, - triggersBounds: diff.any - }, { - name: 'bounds-expansion', - type: t.boundsExpansion, - triggersBounds: diff.any - }]; - var nodeBorder = [{ - name: 'border-color', - type: t.color - }, { - name: 'border-opacity', - type: t.zeroOneNumber - }, { - name: 'border-width', - type: t.size, - triggersBounds: diff.any - }, { - name: 'border-style', - type: t.borderStyle - }]; - var nodeOutline = [{ - name: 'outline-color', - type: t.color - }, { - name: 'outline-opacity', - type: t.zeroOneNumber - }, { - name: 'outline-width', - type: t.size, - triggersBounds: diff.any - }, { - name: 'outline-style', - type: t.borderStyle - }, { - name: 'outline-offset', - type: t.size, - triggersBounds: diff.any - }]; - var backgroundImage = [{ - name: 'background-image', - type: t.urls - }, { - name: 'background-image-crossorigin', - type: t.bgCrossOrigin - }, { - name: 'background-image-opacity', - type: t.zeroOneNumbers - }, { - name: 'background-image-containment', - type: t.bgContainment - }, { - name: 'background-image-smoothing', - type: t.bools - }, { - name: 'background-position-x', - type: t.bgPos - }, { - name: 'background-position-y', - type: t.bgPos - }, { - name: 'background-width-relative-to', - type: t.bgRelativeTo - }, { - name: 'background-height-relative-to', - type: t.bgRelativeTo - }, { - name: 'background-repeat', - type: t.bgRepeat - }, { - name: 'background-fit', - type: t.bgFit - }, { - name: 'background-clip', - type: t.bgClip - }, { - name: 'background-width', - type: t.bgWH - }, { - name: 'background-height', - type: t.bgWH - }, { - name: 'background-offset-x', - type: t.bgPos - }, { - name: 'background-offset-y', - type: t.bgPos - }]; - var compound = [{ - name: 'position', - type: t.position, - triggersBounds: diff.any - }, { - name: 'compound-sizing-wrt-labels', - type: t.compoundIncludeLabels, - triggersBounds: diff.any - }, { - name: 'min-width', - type: t.size, - triggersBounds: diff.any - }, { - name: 'min-width-bias-left', - type: t.sizeMaybePercent, - triggersBounds: diff.any - }, { - name: 'min-width-bias-right', - type: t.sizeMaybePercent, - triggersBounds: diff.any - }, { - name: 'min-height', - type: t.size, - triggersBounds: diff.any - }, { - name: 'min-height-bias-top', - type: t.sizeMaybePercent, - triggersBounds: diff.any - }, { - name: 'min-height-bias-bottom', - type: t.sizeMaybePercent, - triggersBounds: diff.any - }]; - var edgeLine = [{ - name: 'line-style', - type: t.lineStyle - }, { - name: 'line-color', - type: t.color - }, { - name: 'line-fill', - type: t.fill - }, { - name: 'line-cap', - type: t.lineCap - }, { - name: 'line-opacity', - type: t.zeroOneNumber - }, { - name: 'line-dash-pattern', - type: t.numbers - }, { - name: 'line-dash-offset', - type: t.number - }, { - name: 'line-gradient-stop-colors', - type: t.colors - }, { - name: 'line-gradient-stop-positions', - type: t.percentages - }, { - name: 'curve-style', - type: t.curveStyle, - triggersBounds: diff.any, - triggersBoundsOfParallelBeziers: true - }, { - name: 'haystack-radius', - type: t.zeroOneNumber, - triggersBounds: diff.any - }, { - name: 'source-endpoint', - type: t.edgeEndpoint, - triggersBounds: diff.any - }, { - name: 'target-endpoint', - type: t.edgeEndpoint, - triggersBounds: diff.any - }, { - name: 'control-point-step-size', - type: t.size, - triggersBounds: diff.any - }, { - name: 'control-point-distances', - type: t.bidirectionalSizes, - triggersBounds: diff.any - }, { - name: 'control-point-weights', - type: t.numbers, - triggersBounds: diff.any - }, { - name: 'segment-distances', - type: t.bidirectionalSizes, - triggersBounds: diff.any - }, { - name: 'segment-weights', - type: t.numbers, - triggersBounds: diff.any - }, { - name: 'taxi-turn', - type: t.bidirectionalSizeMaybePercent, - triggersBounds: diff.any - }, { - name: 'taxi-turn-min-distance', - type: t.size, - triggersBounds: diff.any - }, { - name: 'taxi-direction', - type: t.axisDirection, - triggersBounds: diff.any - }, { - name: 'edge-distances', - type: t.edgeDistances, - triggersBounds: diff.any - }, { - name: 'arrow-scale', - type: t.positiveNumber, - triggersBounds: diff.any - }, { - name: 'loop-direction', - type: t.angle, - triggersBounds: diff.any - }, { - name: 'loop-sweep', - type: t.angle, - triggersBounds: diff.any - }, { - name: 'source-distance-from-node', - type: t.size, - triggersBounds: diff.any - }, { - name: 'target-distance-from-node', - type: t.size, - triggersBounds: diff.any - }]; - var ghost = [{ - name: 'ghost', - type: t.bool, - triggersBounds: diff.any - }, { - name: 'ghost-offset-x', - type: t.bidirectionalSize, - triggersBounds: diff.any - }, { - name: 'ghost-offset-y', - type: t.bidirectionalSize, - triggersBounds: diff.any - }, { - name: 'ghost-opacity', - type: t.zeroOneNumber - }]; - var core = [{ - name: 'selection-box-color', - type: t.color - }, { - name: 'selection-box-opacity', - type: t.zeroOneNumber - }, { - name: 'selection-box-border-color', - type: t.color - }, { - name: 'selection-box-border-width', - type: t.size - }, { - name: 'active-bg-color', - type: t.color - }, { - name: 'active-bg-opacity', - type: t.zeroOneNumber - }, { - name: 'active-bg-size', - type: t.size - }, { - name: 'outside-texture-bg-color', - type: t.color - }, { - name: 'outside-texture-bg-opacity', - type: t.zeroOneNumber - }]; - - // pie backgrounds for nodes - var pie = []; - styfn$2.pieBackgroundN = 16; // because the pie properties are numbered, give access to a constant N (for renderer use) - pie.push({ - name: 'pie-size', - type: t.sizeMaybePercent - }); - for (var i = 1; i <= styfn$2.pieBackgroundN; i++) { - pie.push({ - name: 'pie-' + i + '-background-color', - type: t.color - }); - pie.push({ - name: 'pie-' + i + '-background-size', - type: t.percent - }); - pie.push({ - name: 'pie-' + i + '-background-opacity', - type: t.zeroOneNumber - }); - } - - // edge arrows - var edgeArrow = []; - var arrowPrefixes = styfn$2.arrowPrefixes = ['source', 'mid-source', 'target', 'mid-target']; - [{ - name: 'arrow-shape', - type: t.arrowShape, - triggersBounds: diff.any - }, { - name: 'arrow-color', - type: t.color - }, { - name: 'arrow-fill', - type: t.arrowFill - }, { - name: 'arrow-width', - type: t.arrowWidth - }].forEach(function (prop) { - arrowPrefixes.forEach(function (prefix) { - var name = prefix + '-' + prop.name; - var type = prop.type, - triggersBounds = prop.triggersBounds; - edgeArrow.push({ - name: name, - type: type, - triggersBounds: triggersBounds - }); - }); - }, {}); - var props = styfn$2.properties = [].concat(behavior, transition, visibility, overlay, underlay, ghost, commonLabel, labelDimensions, mainLabel, sourceLabel, targetLabel, nodeBody, nodeBorder, nodeOutline, backgroundImage, pie, compound, edgeLine, edgeArrow, core); - var propGroups = styfn$2.propertyGroups = { - // common to all eles - behavior: behavior, - transition: transition, - visibility: visibility, - overlay: overlay, - underlay: underlay, - ghost: ghost, - // labels - commonLabel: commonLabel, - labelDimensions: labelDimensions, - mainLabel: mainLabel, - sourceLabel: sourceLabel, - targetLabel: targetLabel, - // node props - nodeBody: nodeBody, - nodeBorder: nodeBorder, - nodeOutline: nodeOutline, - backgroundImage: backgroundImage, - pie: pie, - compound: compound, - // edge props - edgeLine: edgeLine, - edgeArrow: edgeArrow, - core: core - }; - var propGroupNames = styfn$2.propertyGroupNames = {}; - var propGroupKeys = styfn$2.propertyGroupKeys = Object.keys(propGroups); - propGroupKeys.forEach(function (key) { - propGroupNames[key] = propGroups[key].map(function (prop) { - return prop.name; - }); - propGroups[key].forEach(function (prop) { - return prop.groupKey = key; - }); - }); - - // define aliases - var aliases = styfn$2.aliases = [{ - name: 'content', - pointsTo: 'label' - }, { - name: 'control-point-distance', - pointsTo: 'control-point-distances' - }, { - name: 'control-point-weight', - pointsTo: 'control-point-weights' - }, { - name: 'edge-text-rotation', - pointsTo: 'text-rotation' - }, { - name: 'padding-left', - pointsTo: 'padding' - }, { - name: 'padding-right', - pointsTo: 'padding' - }, { - name: 'padding-top', - pointsTo: 'padding' - }, { - name: 'padding-bottom', - pointsTo: 'padding' - }]; - - // list of property names - styfn$2.propertyNames = props.map(function (p) { - return p.name; - }); - - // allow access of properties by name ( e.g. style.properties.height ) - for (var _i = 0; _i < props.length; _i++) { - var prop = props[_i]; - props[prop.name] = prop; // allow lookup by name - } - - // map aliases - for (var _i2 = 0; _i2 < aliases.length; _i2++) { - var alias = aliases[_i2]; - var pointsToProp = props[alias.pointsTo]; - var aliasProp = { - name: alias.name, - alias: true, - pointsTo: pointsToProp - }; - - // add alias prop for parsing - props.push(aliasProp); - props[alias.name] = aliasProp; // allow lookup by name - } - })(); - - styfn$2.getDefaultProperty = function (name) { - return this.getDefaultProperties()[name]; - }; - styfn$2.getDefaultProperties = function () { - var _p = this._private; - if (_p.defaultProperties != null) { - return _p.defaultProperties; - } - var rawProps = extend({ - // core props - 'selection-box-color': '#ddd', - 'selection-box-opacity': 0.65, - 'selection-box-border-color': '#aaa', - 'selection-box-border-width': 1, - 'active-bg-color': 'black', - 'active-bg-opacity': 0.15, - 'active-bg-size': 30, - 'outside-texture-bg-color': '#000', - 'outside-texture-bg-opacity': 0.125, - // common node/edge props - 'events': 'yes', - 'text-events': 'no', - 'text-valign': 'top', - 'text-halign': 'center', - 'text-justification': 'auto', - 'line-height': 1, - 'color': '#000', - 'text-outline-color': '#000', - 'text-outline-width': 0, - 'text-outline-opacity': 1, - 'text-opacity': 1, - 'text-decoration': 'none', - 'text-transform': 'none', - 'text-wrap': 'none', - 'text-overflow-wrap': 'whitespace', - 'text-max-width': 9999, - 'text-background-color': '#000', - 'text-background-opacity': 0, - 'text-background-shape': 'rectangle', - 'text-background-padding': 0, - 'text-border-opacity': 0, - 'text-border-width': 0, - 'text-border-style': 'solid', - 'text-border-color': '#000', - 'font-family': 'Helvetica Neue, Helvetica, sans-serif', - 'font-style': 'normal', - 'font-weight': 'normal', - 'font-size': 16, - 'min-zoomed-font-size': 0, - 'text-rotation': 'none', - 'source-text-rotation': 'none', - 'target-text-rotation': 'none', - 'visibility': 'visible', - 'display': 'element', - 'opacity': 1, - 'z-compound-depth': 'auto', - 'z-index-compare': 'auto', - 'z-index': 0, - 'label': '', - 'text-margin-x': 0, - 'text-margin-y': 0, - 'source-label': '', - 'source-text-offset': 0, - 'source-text-margin-x': 0, - 'source-text-margin-y': 0, - 'target-label': '', - 'target-text-offset': 0, - 'target-text-margin-x': 0, - 'target-text-margin-y': 0, - 'overlay-opacity': 0, - 'overlay-color': '#000', - 'overlay-padding': 10, - 'overlay-shape': 'round-rectangle', - 'underlay-opacity': 0, - 'underlay-color': '#000', - 'underlay-padding': 10, - 'underlay-shape': 'round-rectangle', - 'transition-property': 'none', - 'transition-duration': 0, - 'transition-delay': 0, - 'transition-timing-function': 'linear', - // node props - 'background-blacken': 0, - 'background-color': '#999', - 'background-fill': 'solid', - 'background-opacity': 1, - 'background-image': 'none', - 'background-image-crossorigin': 'anonymous', - 'background-image-opacity': 1, - 'background-image-containment': 'inside', - 'background-image-smoothing': 'yes', - 'background-position-x': '50%', - 'background-position-y': '50%', - 'background-offset-x': 0, - 'background-offset-y': 0, - 'background-width-relative-to': 'include-padding', - 'background-height-relative-to': 'include-padding', - 'background-repeat': 'no-repeat', - 'background-fit': 'none', - 'background-clip': 'node', - 'background-width': 'auto', - 'background-height': 'auto', - 'border-color': '#000', - 'border-opacity': 1, - 'border-width': 0, - 'border-style': 'solid', - 'outline-color': '#999', - 'outline-opacity': 1, - 'outline-width': 0, - 'outline-offset': 0, - 'outline-style': 'solid', - 'height': 30, - 'width': 30, - 'shape': 'ellipse', - 'shape-polygon-points': '-1, -1, 1, -1, 1, 1, -1, 1', - 'bounds-expansion': 0, - // node gradient - 'background-gradient-direction': 'to-bottom', - 'background-gradient-stop-colors': '#999', - 'background-gradient-stop-positions': '0%', - // ghost props - 'ghost': 'no', - 'ghost-offset-y': 0, - 'ghost-offset-x': 0, - 'ghost-opacity': 0, - // compound props - 'padding': 0, - 'padding-relative-to': 'width', - 'position': 'origin', - 'compound-sizing-wrt-labels': 'include', - 'min-width': 0, - 'min-width-bias-left': 0, - 'min-width-bias-right': 0, - 'min-height': 0, - 'min-height-bias-top': 0, - 'min-height-bias-bottom': 0 - }, { - // node pie bg - 'pie-size': '100%' - }, [{ - name: 'pie-{{i}}-background-color', - value: 'black' - }, { - name: 'pie-{{i}}-background-size', - value: '0%' - }, { - name: 'pie-{{i}}-background-opacity', - value: 1 - }].reduce(function (css, prop) { - for (var i = 1; i <= styfn$2.pieBackgroundN; i++) { - var name = prop.name.replace('{{i}}', i); - var val = prop.value; - css[name] = val; - } - return css; - }, {}), { - // edge props - 'line-style': 'solid', - 'line-color': '#999', - 'line-fill': 'solid', - 'line-cap': 'butt', - 'line-opacity': 1, - 'line-gradient-stop-colors': '#999', - 'line-gradient-stop-positions': '0%', - 'control-point-step-size': 40, - 'control-point-weights': 0.5, - 'segment-weights': 0.5, - 'segment-distances': 20, - 'taxi-turn': '50%', - 'taxi-turn-min-distance': 10, - 'taxi-direction': 'auto', - 'edge-distances': 'intersection', - 'curve-style': 'haystack', - 'haystack-radius': 0, - 'arrow-scale': 1, - 'loop-direction': '-45deg', - 'loop-sweep': '-90deg', - 'source-distance-from-node': 0, - 'target-distance-from-node': 0, - 'source-endpoint': 'outside-to-node', - 'target-endpoint': 'outside-to-node', - 'line-dash-pattern': [6, 3], - 'line-dash-offset': 0 - }, [{ - name: 'arrow-shape', - value: 'none' - }, { - name: 'arrow-color', - value: '#999' - }, { - name: 'arrow-fill', - value: 'filled' - }, { - name: 'arrow-width', - value: 1 - }].reduce(function (css, prop) { - styfn$2.arrowPrefixes.forEach(function (prefix) { - var name = prefix + '-' + prop.name; - var val = prop.value; - css[name] = val; - }); - return css; - }, {})); - var parsedProps = {}; - for (var i = 0; i < this.properties.length; i++) { - var prop = this.properties[i]; - if (prop.pointsTo) { - continue; - } - var name = prop.name; - var val = rawProps[name]; - var parsedProp = this.parse(name, val); - parsedProps[name] = parsedProp; - } - _p.defaultProperties = parsedProps; - return _p.defaultProperties; - }; - styfn$2.addDefaultStylesheet = function () { - this.selector(':parent').css({ - 'shape': 'rectangle', - 'padding': 10, - 'background-color': '#eee', - 'border-color': '#ccc', - 'border-width': 1 - }).selector('edge').css({ - 'width': 3 - }).selector(':loop').css({ - 'curve-style': 'bezier' - }).selector('edge:compound').css({ - 'curve-style': 'bezier', - 'source-endpoint': 'outside-to-line', - 'target-endpoint': 'outside-to-line' - }).selector(':selected').css({ - 'background-color': '#0169D9', - 'line-color': '#0169D9', - 'source-arrow-color': '#0169D9', - 'target-arrow-color': '#0169D9', - 'mid-source-arrow-color': '#0169D9', - 'mid-target-arrow-color': '#0169D9' - }).selector(':parent:selected').css({ - 'background-color': '#CCE1F9', - 'border-color': '#aec8e5' - }).selector(':active').css({ - 'overlay-color': 'black', - 'overlay-padding': 10, - 'overlay-opacity': 0.25 - }); - this.defaultLength = this.length; - }; - - var styfn$1 = {}; - - // a caching layer for property parsing - styfn$1.parse = function (name, value, propIsBypass, propIsFlat) { - var self = this; - - // function values can't be cached in all cases, and there isn't much benefit of caching them anyway - if (fn$6(value)) { - return self.parseImplWarn(name, value, propIsBypass, propIsFlat); - } - var flatKey = propIsFlat === 'mapping' || propIsFlat === true || propIsFlat === false || propIsFlat == null ? 'dontcare' : propIsFlat; - var bypassKey = propIsBypass ? 't' : 'f'; - var valueKey = '' + value; - var argHash = hashStrings(name, valueKey, bypassKey, flatKey); - var propCache = self.propCache = self.propCache || []; - var ret; - if (!(ret = propCache[argHash])) { - ret = propCache[argHash] = self.parseImplWarn(name, value, propIsBypass, propIsFlat); - } - - // - bypasses can't be shared b/c the value can be changed by animations or otherwise overridden - // - mappings can't be shared b/c mappings are per-element - if (propIsBypass || propIsFlat === 'mapping') { - // need a copy since props are mutated later in their lifecycles - ret = copy(ret); - if (ret) { - ret.value = copy(ret.value); // because it could be an array, e.g. colour - } - } - - return ret; - }; - styfn$1.parseImplWarn = function (name, value, propIsBypass, propIsFlat) { - var prop = this.parseImpl(name, value, propIsBypass, propIsFlat); - if (!prop && value != null) { - warn("The style property `".concat(name, ": ").concat(value, "` is invalid")); - } - if (prop && (prop.name === 'width' || prop.name === 'height') && value === 'label') { - warn('The style value of `label` is deprecated for `' + prop.name + '`'); - } - return prop; - }; - - // parse a property; return null on invalid; return parsed property otherwise - // fields : - // - name : the name of the property - // - value : the parsed, native-typed value of the property - // - strValue : a string value that represents the property value in valid css - // - bypass : true iff the property is a bypass property - styfn$1.parseImpl = function (name, value, propIsBypass, propIsFlat) { - var self = this; - name = camel2dash(name); // make sure the property name is in dash form (e.g. 'property-name' not 'propertyName') - - var property = self.properties[name]; - var passedValue = value; - var types = self.types; - if (!property) { - return null; - } // return null on property of unknown name - if (value === undefined) { - return null; - } // can't assign undefined - - // the property may be an alias - if (property.alias) { - property = property.pointsTo; - name = property.name; - } - var valueIsString = string(value); - if (valueIsString) { - // trim the value to make parsing easier - value = value.trim(); - } - var type = property.type; - if (!type) { - return null; - } // no type, no luck - - // check if bypass is null or empty string (i.e. indication to delete bypass property) - if (propIsBypass && (value === '' || value === null)) { - return { - name: name, - value: value, - bypass: true, - deleteBypass: true - }; - } - - // check if value is a function used as a mapper - if (fn$6(value)) { - return { - name: name, - value: value, - strValue: 'fn', - mapped: types.fn, - bypass: propIsBypass - }; - } - - // check if value is mapped - var data, mapData; - if (!valueIsString || propIsFlat || value.length < 7 || value[1] !== 'a') ; else if (value.length >= 7 && value[0] === 'd' && (data = new RegExp(types.data.regex).exec(value))) { - if (propIsBypass) { - return false; - } // mappers not allowed in bypass - - var mapped = types.data; - return { - name: name, - value: data, - strValue: '' + value, - mapped: mapped, - field: data[1], - bypass: propIsBypass - }; - } else if (value.length >= 10 && value[0] === 'm' && (mapData = new RegExp(types.mapData.regex).exec(value))) { - if (propIsBypass) { - return false; - } // mappers not allowed in bypass - if (type.multiple) { - return false; - } // impossible to map to num - - var _mapped = types.mapData; - - // we can map only if the type is a colour or a number - if (!(type.color || type.number)) { - return false; - } - var valueMin = this.parse(name, mapData[4]); // parse to validate - if (!valueMin || valueMin.mapped) { - return false; - } // can't be invalid or mapped - - var valueMax = this.parse(name, mapData[5]); // parse to validate - if (!valueMax || valueMax.mapped) { - return false; - } // can't be invalid or mapped - - // check if valueMin and valueMax are the same - if (valueMin.pfValue === valueMax.pfValue || valueMin.strValue === valueMax.strValue) { - warn('`' + name + ': ' + value + '` is not a valid mapper because the output range is zero; converting to `' + name + ': ' + valueMin.strValue + '`'); - return this.parse(name, valueMin.strValue); // can't make much of a mapper without a range - } else if (type.color) { - var c1 = valueMin.value; - var c2 = valueMax.value; - var same = c1[0] === c2[0] // red - && c1[1] === c2[1] // green - && c1[2] === c2[2] // blue - && ( - // optional alpha - c1[3] === c2[3] // same alpha outright - || (c1[3] == null || c1[3] === 1 // full opacity for colour 1? - ) && (c2[3] == null || c2[3] === 1) // full opacity for colour 2? - ); - - if (same) { - return false; - } // can't make a mapper without a range - } - - return { - name: name, - value: mapData, - strValue: '' + value, - mapped: _mapped, - field: mapData[1], - fieldMin: parseFloat(mapData[2]), - // min & max are numeric - fieldMax: parseFloat(mapData[3]), - valueMin: valueMin.value, - valueMax: valueMax.value, - bypass: propIsBypass - }; - } - if (type.multiple && propIsFlat !== 'multiple') { - var vals; - if (valueIsString) { - vals = value.split(/\s+/); - } else if (array(value)) { - vals = value; - } else { - vals = [value]; - } - if (type.evenMultiple && vals.length % 2 !== 0) { - return null; - } - var valArr = []; - var unitsArr = []; - var pfValArr = []; - var strVal = ''; - var hasEnum = false; - for (var i = 0; i < vals.length; i++) { - var p = self.parse(name, vals[i], propIsBypass, 'multiple'); - hasEnum = hasEnum || string(p.value); - valArr.push(p.value); - pfValArr.push(p.pfValue != null ? p.pfValue : p.value); - unitsArr.push(p.units); - strVal += (i > 0 ? ' ' : '') + p.strValue; - } - if (type.validate && !type.validate(valArr, unitsArr)) { - return null; - } - if (type.singleEnum && hasEnum) { - if (valArr.length === 1 && string(valArr[0])) { - return { - name: name, - value: valArr[0], - strValue: valArr[0], - bypass: propIsBypass - }; - } else { - return null; - } - } - return { - name: name, - value: valArr, - pfValue: pfValArr, - strValue: strVal, - bypass: propIsBypass, - units: unitsArr - }; - } - - // several types also allow enums - var checkEnums = function checkEnums() { - for (var _i = 0; _i < type.enums.length; _i++) { - var en = type.enums[_i]; - if (en === value) { - return { - name: name, - value: value, - strValue: '' + value, - bypass: propIsBypass - }; - } - } - return null; - }; - - // check the type and return the appropriate object - if (type.number) { - var units; - var implicitUnits = 'px'; // not set => px - - if (type.units) { - // use specified units if set - units = type.units; - } - if (type.implicitUnits) { - implicitUnits = type.implicitUnits; - } - if (!type.unitless) { - if (valueIsString) { - var unitsRegex = 'px|em' + (type.allowPercent ? '|\\%' : ''); - if (units) { - unitsRegex = units; - } // only allow explicit units if so set - var match = value.match('^(' + number + ')(' + unitsRegex + ')?' + '$'); - if (match) { - value = match[1]; - units = match[2] || implicitUnits; - } - } else if (!units || type.implicitUnits) { - units = implicitUnits; // implicitly px if unspecified - } - } - - value = parseFloat(value); - - // if not a number and enums not allowed, then the value is invalid - if (isNaN(value) && type.enums === undefined) { - return null; - } - - // check if this number type also accepts special keywords in place of numbers - // (i.e. `left`, `auto`, etc) - if (isNaN(value) && type.enums !== undefined) { - value = passedValue; - return checkEnums(); - } - - // check if value must be an integer - if (type.integer && !integer(value)) { - return null; - } - - // check value is within range - if (type.min !== undefined && (value < type.min || type.strictMin && value === type.min) || type.max !== undefined && (value > type.max || type.strictMax && value === type.max)) { - return null; - } - var ret = { - name: name, - value: value, - strValue: '' + value + (units ? units : ''), - units: units, - bypass: propIsBypass - }; - - // normalise value in pixels - if (type.unitless || units !== 'px' && units !== 'em') { - ret.pfValue = value; - } else { - ret.pfValue = units === 'px' || !units ? value : this.getEmSizeInPixels() * value; - } - - // normalise value in ms - if (units === 'ms' || units === 's') { - ret.pfValue = units === 'ms' ? value : 1000 * value; - } - - // normalise value in rad - if (units === 'deg' || units === 'rad') { - ret.pfValue = units === 'rad' ? value : deg2rad(value); - } - - // normalize value in % - if (units === '%') { - ret.pfValue = value / 100; - } - return ret; - } else if (type.propList) { - var props = []; - var propsStr = '' + value; - if (propsStr === 'none') ; else { - // go over each prop - - var propsSplit = propsStr.split(/\s*,\s*|\s+/); - for (var _i2 = 0; _i2 < propsSplit.length; _i2++) { - var propName = propsSplit[_i2].trim(); - if (self.properties[propName]) { - props.push(propName); - } else { - warn('`' + propName + '` is not a valid property name'); - } - } - if (props.length === 0) { - return null; - } - } - return { - name: name, - value: props, - strValue: props.length === 0 ? 'none' : props.join(' '), - bypass: propIsBypass - }; - } else if (type.color) { - var tuple = color2tuple(value); - if (!tuple) { - return null; - } - return { - name: name, - value: tuple, - pfValue: tuple, - strValue: 'rgb(' + tuple[0] + ',' + tuple[1] + ',' + tuple[2] + ')', - // n.b. no spaces b/c of multiple support - bypass: propIsBypass - }; - } else if (type.regex || type.regexes) { - // first check enums - if (type.enums) { - var enumProp = checkEnums(); - if (enumProp) { - return enumProp; - } - } - var regexes = type.regexes ? type.regexes : [type.regex]; - for (var _i3 = 0; _i3 < regexes.length; _i3++) { - var regex = new RegExp(regexes[_i3]); // make a regex from the type string - var m = regex.exec(value); - if (m) { - // regex matches - return { - name: name, - value: type.singleRegexMatchValue ? m[1] : m, - strValue: '' + value, - bypass: propIsBypass - }; - } - } - return null; // didn't match any - } else if (type.string) { - // just return - return { - name: name, - value: '' + value, - strValue: '' + value, - bypass: propIsBypass - }; - } else if (type.enums) { - // check enums last because it's a combo type in others - return checkEnums(); - } else { - return null; // not a type we can handle - } - }; - - var Style = function Style(cy) { - if (!(this instanceof Style)) { - return new Style(cy); - } - if (!core(cy)) { - error('A style must have a core reference'); - return; - } - this._private = { - cy: cy, - coreStyle: {} - }; - this.length = 0; - this.resetToDefault(); - }; - var styfn = Style.prototype; - styfn.instanceString = function () { - return 'style'; - }; - - // remove all contexts - styfn.clear = function () { - var _p = this._private; - var cy = _p.cy; - var eles = cy.elements(); - for (var i = 0; i < this.length; i++) { - this[i] = undefined; - } - this.length = 0; - _p.contextStyles = {}; - _p.propDiffs = {}; - this.cleanElements(eles, true); - eles.forEach(function (ele) { - var ele_p = ele[0]._private; - ele_p.styleDirty = true; - ele_p.appliedInitStyle = false; - }); - return this; // chaining - }; - - styfn.resetToDefault = function () { - this.clear(); - this.addDefaultStylesheet(); - return this; - }; - - // builds a style object for the 'core' selector - styfn.core = function (propName) { - return this._private.coreStyle[propName] || this.getDefaultProperty(propName); - }; - - // create a new context from the specified selector string and switch to that context - styfn.selector = function (selectorStr) { - // 'core' is a special case and does not need a selector - var selector = selectorStr === 'core' ? null : new Selector(selectorStr); - var i = this.length++; // new context means new index - this[i] = { - selector: selector, - properties: [], - mappedProperties: [], - index: i - }; - return this; // chaining - }; - - // add one or many css rules to the current context - styfn.css = function () { - var self = this; - var args = arguments; - if (args.length === 1) { - var map = args[0]; - for (var i = 0; i < self.properties.length; i++) { - var prop = self.properties[i]; - var mapVal = map[prop.name]; - if (mapVal === undefined) { - mapVal = map[dash2camel(prop.name)]; - } - if (mapVal !== undefined) { - this.cssRule(prop.name, mapVal); - } - } - } else if (args.length === 2) { - this.cssRule(args[0], args[1]); - } - - // do nothing if args are invalid - - return this; // chaining - }; - - styfn.style = styfn.css; - - // add a single css rule to the current context - styfn.cssRule = function (name, value) { - // name-value pair - var property = this.parse(name, value); - - // add property to current context if valid - if (property) { - var i = this.length - 1; - this[i].properties.push(property); - this[i].properties[property.name] = property; // allow access by name as well - - if (property.name.match(/pie-(\d+)-background-size/) && property.value) { - this._private.hasPie = true; - } - if (property.mapped) { - this[i].mappedProperties.push(property); - } - - // add to core style if necessary - var currentSelectorIsCore = !this[i].selector; - if (currentSelectorIsCore) { - this._private.coreStyle[property.name] = property; - } - } - return this; // chaining - }; - - styfn.append = function (style) { - if (stylesheet(style)) { - style.appendToStyle(this); - } else if (array(style)) { - this.appendFromJson(style); - } else if (string(style)) { - this.appendFromString(style); - } // you probably wouldn't want to append a Style, since you'd duplicate the default parts - - return this; - }; - - // static function - Style.fromJson = function (cy, json) { - var style = new Style(cy); - style.fromJson(json); - return style; - }; - Style.fromString = function (cy, string) { - return new Style(cy).fromString(string); - }; - [styfn$8, styfn$7, styfn$6, styfn$5, styfn$4, styfn$3, styfn$2, styfn$1].forEach(function (props) { - extend(styfn, props); - }); - Style.types = styfn.types; - Style.properties = styfn.properties; - Style.propertyGroups = styfn.propertyGroups; - Style.propertyGroupNames = styfn.propertyGroupNames; - Style.propertyGroupKeys = styfn.propertyGroupKeys; - - var corefn$2 = { - style: function style(newStyle) { - if (newStyle) { - var s = this.setStyle(newStyle); - s.update(); - } - return this._private.style; - }, - setStyle: function setStyle(style) { - var _p = this._private; - if (stylesheet(style)) { - _p.style = style.generateStyle(this); - } else if (array(style)) { - _p.style = Style.fromJson(this, style); - } else if (string(style)) { - _p.style = Style.fromString(this, style); - } else { - _p.style = Style(this); - } - return _p.style; - }, - // e.g. cy.data() changed => recalc ele mappers - updateStyle: function updateStyle() { - this.mutableElements().updateStyle(); // just send to all eles - } - }; - - var defaultSelectionType = 'single'; - var corefn$1 = { - autolock: function autolock(bool) { - if (bool !== undefined) { - this._private.autolock = bool ? true : false; - } else { - return this._private.autolock; - } - return this; // chaining - }, - - autoungrabify: function autoungrabify(bool) { - if (bool !== undefined) { - this._private.autoungrabify = bool ? true : false; - } else { - return this._private.autoungrabify; - } - return this; // chaining - }, - - autounselectify: function autounselectify(bool) { - if (bool !== undefined) { - this._private.autounselectify = bool ? true : false; - } else { - return this._private.autounselectify; - } - return this; // chaining - }, - - selectionType: function selectionType(selType) { - var _p = this._private; - if (_p.selectionType == null) { - _p.selectionType = defaultSelectionType; - } - if (selType !== undefined) { - if (selType === 'additive' || selType === 'single') { - _p.selectionType = selType; - } - } else { - return _p.selectionType; - } - return this; - }, - panningEnabled: function panningEnabled(bool) { - if (bool !== undefined) { - this._private.panningEnabled = bool ? true : false; - } else { - return this._private.panningEnabled; - } - return this; // chaining - }, - - userPanningEnabled: function userPanningEnabled(bool) { - if (bool !== undefined) { - this._private.userPanningEnabled = bool ? true : false; - } else { - return this._private.userPanningEnabled; - } - return this; // chaining - }, - - zoomingEnabled: function zoomingEnabled(bool) { - if (bool !== undefined) { - this._private.zoomingEnabled = bool ? true : false; - } else { - return this._private.zoomingEnabled; - } - return this; // chaining - }, - - userZoomingEnabled: function userZoomingEnabled(bool) { - if (bool !== undefined) { - this._private.userZoomingEnabled = bool ? true : false; - } else { - return this._private.userZoomingEnabled; - } - return this; // chaining - }, - - boxSelectionEnabled: function boxSelectionEnabled(bool) { - if (bool !== undefined) { - this._private.boxSelectionEnabled = bool ? true : false; - } else { - return this._private.boxSelectionEnabled; - } - return this; // chaining - }, - - pan: function pan() { - var args = arguments; - var pan = this._private.pan; - var dim, val, dims, x, y; - switch (args.length) { - case 0: - // .pan() - return pan; - case 1: - if (string(args[0])) { - // .pan('x') - dim = args[0]; - return pan[dim]; - } else if (plainObject(args[0])) { - // .pan({ x: 0, y: 100 }) - if (!this._private.panningEnabled) { - return this; - } - dims = args[0]; - x = dims.x; - y = dims.y; - if (number$1(x)) { - pan.x = x; - } - if (number$1(y)) { - pan.y = y; - } - this.emit('pan viewport'); - } - break; - case 2: - // .pan('x', 100) - if (!this._private.panningEnabled) { - return this; - } - dim = args[0]; - val = args[1]; - if ((dim === 'x' || dim === 'y') && number$1(val)) { - pan[dim] = val; - } - this.emit('pan viewport'); - break; - // invalid - } - - this.notify('viewport'); - return this; // chaining - }, - - panBy: function panBy(arg0, arg1) { - var args = arguments; - var pan = this._private.pan; - var dim, val, dims, x, y; - if (!this._private.panningEnabled) { - return this; - } - switch (args.length) { - case 1: - if (plainObject(arg0)) { - // .panBy({ x: 0, y: 100 }) - dims = args[0]; - x = dims.x; - y = dims.y; - if (number$1(x)) { - pan.x += x; - } - if (number$1(y)) { - pan.y += y; - } - this.emit('pan viewport'); - } - break; - case 2: - // .panBy('x', 100) - dim = arg0; - val = arg1; - if ((dim === 'x' || dim === 'y') && number$1(val)) { - pan[dim] += val; - } - this.emit('pan viewport'); - break; - // invalid - } - - this.notify('viewport'); - return this; // chaining - }, - - fit: function fit(elements, padding) { - var viewportState = this.getFitViewport(elements, padding); - if (viewportState) { - var _p = this._private; - _p.zoom = viewportState.zoom; - _p.pan = viewportState.pan; - this.emit('pan zoom viewport'); - this.notify('viewport'); - } - return this; // chaining - }, - - getFitViewport: function getFitViewport(elements, padding) { - if (number$1(elements) && padding === undefined) { - // elements is optional - padding = elements; - elements = undefined; - } - if (!this._private.panningEnabled || !this._private.zoomingEnabled) { - return; - } - var bb; - if (string(elements)) { - var sel = elements; - elements = this.$(sel); - } else if (boundingBox(elements)) { - // assume bb - var bbe = elements; - bb = { - x1: bbe.x1, - y1: bbe.y1, - x2: bbe.x2, - y2: bbe.y2 - }; - bb.w = bb.x2 - bb.x1; - bb.h = bb.y2 - bb.y1; - } else if (!elementOrCollection(elements)) { - elements = this.mutableElements(); - } - if (elementOrCollection(elements) && elements.empty()) { - return; - } // can't fit to nothing - - bb = bb || elements.boundingBox(); - var w = this.width(); - var h = this.height(); - var zoom; - padding = number$1(padding) ? padding : 0; - if (!isNaN(w) && !isNaN(h) && w > 0 && h > 0 && !isNaN(bb.w) && !isNaN(bb.h) && bb.w > 0 && bb.h > 0) { - zoom = Math.min((w - 2 * padding) / bb.w, (h - 2 * padding) / bb.h); - - // crop zoom - zoom = zoom > this._private.maxZoom ? this._private.maxZoom : zoom; - zoom = zoom < this._private.minZoom ? this._private.minZoom : zoom; - var pan = { - // now pan to middle - x: (w - zoom * (bb.x1 + bb.x2)) / 2, - y: (h - zoom * (bb.y1 + bb.y2)) / 2 - }; - return { - zoom: zoom, - pan: pan - }; - } - return; - }, - zoomRange: function zoomRange(min, max) { - var _p = this._private; - if (max == null) { - var opts = min; - min = opts.min; - max = opts.max; - } - if (number$1(min) && number$1(max) && min <= max) { - _p.minZoom = min; - _p.maxZoom = max; - } else if (number$1(min) && max === undefined && min <= _p.maxZoom) { - _p.minZoom = min; - } else if (number$1(max) && min === undefined && max >= _p.minZoom) { - _p.maxZoom = max; - } - return this; - }, - minZoom: function minZoom(zoom) { - if (zoom === undefined) { - return this._private.minZoom; - } else { - return this.zoomRange({ - min: zoom - }); - } - }, - maxZoom: function maxZoom(zoom) { - if (zoom === undefined) { - return this._private.maxZoom; - } else { - return this.zoomRange({ - max: zoom - }); - } - }, - getZoomedViewport: function getZoomedViewport(params) { - var _p = this._private; - var currentPan = _p.pan; - var currentZoom = _p.zoom; - var pos; // in rendered px - var zoom; - var bail = false; - if (!_p.zoomingEnabled) { - // zooming disabled - bail = true; - } - if (number$1(params)) { - // then set the zoom - zoom = params; - } else if (plainObject(params)) { - // then zoom about a point - zoom = params.level; - if (params.position != null) { - pos = modelToRenderedPosition(params.position, currentZoom, currentPan); - } else if (params.renderedPosition != null) { - pos = params.renderedPosition; - } - if (pos != null && !_p.panningEnabled) { - // panning disabled - bail = true; - } - } - - // crop zoom - zoom = zoom > _p.maxZoom ? _p.maxZoom : zoom; - zoom = zoom < _p.minZoom ? _p.minZoom : zoom; - - // can't zoom with invalid params - if (bail || !number$1(zoom) || zoom === currentZoom || pos != null && (!number$1(pos.x) || !number$1(pos.y))) { - return null; - } - if (pos != null) { - // set zoom about position - var pan1 = currentPan; - var zoom1 = currentZoom; - var zoom2 = zoom; - var pan2 = { - x: -zoom2 / zoom1 * (pos.x - pan1.x) + pos.x, - y: -zoom2 / zoom1 * (pos.y - pan1.y) + pos.y - }; - return { - zoomed: true, - panned: true, - zoom: zoom2, - pan: pan2 - }; - } else { - // just set the zoom - return { - zoomed: true, - panned: false, - zoom: zoom, - pan: currentPan - }; - } - }, - zoom: function zoom(params) { - if (params === undefined) { - // get - return this._private.zoom; - } else { - // set - var vp = this.getZoomedViewport(params); - var _p = this._private; - if (vp == null || !vp.zoomed) { - return this; - } - _p.zoom = vp.zoom; - if (vp.panned) { - _p.pan.x = vp.pan.x; - _p.pan.y = vp.pan.y; - } - this.emit('zoom' + (vp.panned ? ' pan' : '') + ' viewport'); - this.notify('viewport'); - return this; // chaining - } - }, - - viewport: function viewport(opts) { - var _p = this._private; - var zoomDefd = true; - var panDefd = true; - var events = []; // to trigger - var zoomFailed = false; - var panFailed = false; - if (!opts) { - return this; - } - if (!number$1(opts.zoom)) { - zoomDefd = false; - } - if (!plainObject(opts.pan)) { - panDefd = false; - } - if (!zoomDefd && !panDefd) { - return this; - } - if (zoomDefd) { - var z = opts.zoom; - if (z < _p.minZoom || z > _p.maxZoom || !_p.zoomingEnabled) { - zoomFailed = true; - } else { - _p.zoom = z; - events.push('zoom'); - } - } - if (panDefd && (!zoomFailed || !opts.cancelOnFailedZoom) && _p.panningEnabled) { - var p = opts.pan; - if (number$1(p.x)) { - _p.pan.x = p.x; - panFailed = false; - } - if (number$1(p.y)) { - _p.pan.y = p.y; - panFailed = false; - } - if (!panFailed) { - events.push('pan'); - } - } - if (events.length > 0) { - events.push('viewport'); - this.emit(events.join(' ')); - this.notify('viewport'); - } - return this; // chaining - }, - - center: function center(elements) { - var pan = this.getCenterPan(elements); - if (pan) { - this._private.pan = pan; - this.emit('pan viewport'); - this.notify('viewport'); - } - return this; // chaining - }, - - getCenterPan: function getCenterPan(elements, zoom) { - if (!this._private.panningEnabled) { - return; - } - if (string(elements)) { - var selector = elements; - elements = this.mutableElements().filter(selector); - } else if (!elementOrCollection(elements)) { - elements = this.mutableElements(); - } - if (elements.length === 0) { - return; - } // can't centre pan to nothing - - var bb = elements.boundingBox(); - var w = this.width(); - var h = this.height(); - zoom = zoom === undefined ? this._private.zoom : zoom; - var pan = { - // middle - x: (w - zoom * (bb.x1 + bb.x2)) / 2, - y: (h - zoom * (bb.y1 + bb.y2)) / 2 - }; - return pan; - }, - reset: function reset() { - if (!this._private.panningEnabled || !this._private.zoomingEnabled) { - return this; - } - this.viewport({ - pan: { - x: 0, - y: 0 - }, - zoom: 1 - }); - return this; // chaining - }, - - invalidateSize: function invalidateSize() { - this._private.sizeCache = null; - }, - size: function size() { - var _p = this._private; - var container = _p.container; - var cy = this; - return _p.sizeCache = _p.sizeCache || (container ? function () { - var style = cy.window().getComputedStyle(container); - var val = function val(name) { - return parseFloat(style.getPropertyValue(name)); - }; - return { - width: container.clientWidth - val('padding-left') - val('padding-right'), - height: container.clientHeight - val('padding-top') - val('padding-bottom') - }; - }() : { - // fallback if no container (not 0 b/c can be used for dividing etc) - width: 1, - height: 1 - }); - }, - width: function width() { - return this.size().width; - }, - height: function height() { - return this.size().height; - }, - extent: function extent() { - var pan = this._private.pan; - var zoom = this._private.zoom; - var rb = this.renderedExtent(); - var b = { - x1: (rb.x1 - pan.x) / zoom, - x2: (rb.x2 - pan.x) / zoom, - y1: (rb.y1 - pan.y) / zoom, - y2: (rb.y2 - pan.y) / zoom - }; - b.w = b.x2 - b.x1; - b.h = b.y2 - b.y1; - return b; - }, - renderedExtent: function renderedExtent() { - var width = this.width(); - var height = this.height(); - return { - x1: 0, - y1: 0, - x2: width, - y2: height, - w: width, - h: height - }; - }, - multiClickDebounceTime: function multiClickDebounceTime(_int) { - if (_int) this._private.multiClickDebounceTime = _int;else return this._private.multiClickDebounceTime; - return this; // chaining - } - }; - - // aliases - corefn$1.centre = corefn$1.center; - - // backwards compatibility - corefn$1.autolockNodes = corefn$1.autolock; - corefn$1.autoungrabifyNodes = corefn$1.autoungrabify; - - var fn = { - data: define.data({ - field: 'data', - bindingEvent: 'data', - allowBinding: true, - allowSetting: true, - settingEvent: 'data', - settingTriggersEvent: true, - triggerFnName: 'trigger', - allowGetting: true, - updateStyle: true - }), - removeData: define.removeData({ - field: 'data', - event: 'data', - triggerFnName: 'trigger', - triggerEvent: true, - updateStyle: true - }), - scratch: define.data({ - field: 'scratch', - bindingEvent: 'scratch', - allowBinding: true, - allowSetting: true, - settingEvent: 'scratch', - settingTriggersEvent: true, - triggerFnName: 'trigger', - allowGetting: true, - updateStyle: true - }), - removeScratch: define.removeData({ - field: 'scratch', - event: 'scratch', - triggerFnName: 'trigger', - triggerEvent: true, - updateStyle: true - }) - }; - - // aliases - fn.attr = fn.data; - fn.removeAttr = fn.removeData; - - var Core = function Core(opts) { - var cy = this; - opts = extend({}, opts); - var container = opts.container; - - // allow for passing a wrapped jquery object - // e.g. cytoscape({ container: $('#cy') }) - if (container && !htmlElement(container) && htmlElement(container[0])) { - container = container[0]; - } - var reg = container ? container._cyreg : null; // e.g. already registered some info (e.g. readies) via jquery - reg = reg || {}; - if (reg && reg.cy) { - reg.cy.destroy(); - reg = {}; // old instance => replace reg completely - } - - var readies = reg.readies = reg.readies || []; - if (container) { - container._cyreg = reg; - } // make sure container assoc'd reg points to this cy - reg.cy = cy; - var head = _window !== undefined && container !== undefined && !opts.headless; - var options = opts; - options.layout = extend({ - name: head ? 'grid' : 'null' - }, options.layout); - options.renderer = extend({ - name: head ? 'canvas' : 'null' - }, options.renderer); - var defVal = function defVal(def, val, altVal) { - if (val !== undefined) { - return val; - } else if (altVal !== undefined) { - return altVal; - } else { - return def; - } - }; - var _p = this._private = { - container: container, - // html dom ele container - ready: false, - // whether ready has been triggered - options: options, - // cached options - elements: new Collection(this), - // elements in the graph - listeners: [], - // list of listeners - aniEles: new Collection(this), - // elements being animated - data: options.data || {}, - // data for the core - scratch: {}, - // scratch object for core - layout: null, - renderer: null, - destroyed: false, - // whether destroy was called - notificationsEnabled: true, - // whether notifications are sent to the renderer - minZoom: 1e-50, - maxZoom: 1e50, - zoomingEnabled: defVal(true, options.zoomingEnabled), - userZoomingEnabled: defVal(true, options.userZoomingEnabled), - panningEnabled: defVal(true, options.panningEnabled), - userPanningEnabled: defVal(true, options.userPanningEnabled), - boxSelectionEnabled: defVal(true, options.boxSelectionEnabled), - autolock: defVal(false, options.autolock, options.autolockNodes), - autoungrabify: defVal(false, options.autoungrabify, options.autoungrabifyNodes), - autounselectify: defVal(false, options.autounselectify), - styleEnabled: options.styleEnabled === undefined ? head : options.styleEnabled, - zoom: number$1(options.zoom) ? options.zoom : 1, - pan: { - x: plainObject(options.pan) && number$1(options.pan.x) ? options.pan.x : 0, - y: plainObject(options.pan) && number$1(options.pan.y) ? options.pan.y : 0 - }, - animation: { - // object for currently-running animations - current: [], - queue: [] - }, - hasCompoundNodes: false, - multiClickDebounceTime: defVal(250, options.multiClickDebounceTime) - }; - this.createEmitter(); - - // set selection type - this.selectionType(options.selectionType); - - // init zoom bounds - this.zoomRange({ - min: options.minZoom, - max: options.maxZoom - }); - var loadExtData = function loadExtData(extData, next) { - var anyIsPromise = extData.some(promise); - if (anyIsPromise) { - return Promise$1.all(extData).then(next); // load all data asynchronously, then exec rest of init - } else { - next(extData); // exec synchronously for convenience - } - }; - - // start with the default stylesheet so we have something before loading an external stylesheet - if (_p.styleEnabled) { - cy.setStyle([]); - } - - // create the renderer - var rendererOptions = extend({}, options, options.renderer); // allow rendering hints in top level options - cy.initRenderer(rendererOptions); - var setElesAndLayout = function setElesAndLayout(elements, onload, ondone) { - cy.notifications(false); - - // remove old elements - var oldEles = cy.mutableElements(); - if (oldEles.length > 0) { - oldEles.remove(); - } - if (elements != null) { - if (plainObject(elements) || array(elements)) { - cy.add(elements); - } - } - cy.one('layoutready', function (e) { - cy.notifications(true); - cy.emit(e); // we missed this event by turning notifications off, so pass it on - - cy.one('load', onload); - cy.emitAndNotify('load'); - }).one('layoutstop', function () { - cy.one('done', ondone); - cy.emit('done'); - }); - var layoutOpts = extend({}, cy._private.options.layout); - layoutOpts.eles = cy.elements(); - cy.layout(layoutOpts).run(); - }; - loadExtData([options.style, options.elements], function (thens) { - var initStyle = thens[0]; - var initEles = thens[1]; - - // init style - if (_p.styleEnabled) { - cy.style().append(initStyle); - } - - // initial load - setElesAndLayout(initEles, function () { - // onready - cy.startAnimationLoop(); - _p.ready = true; - - // if a ready callback is specified as an option, the bind it - if (fn$6(options.ready)) { - cy.on('ready', options.ready); - } - - // bind all the ready handlers registered before creating this instance - for (var i = 0; i < readies.length; i++) { - var fn = readies[i]; - cy.on('ready', fn); - } - if (reg) { - reg.readies = []; - } // clear b/c we've bound them all and don't want to keep it around in case a new core uses the same div etc - - cy.emit('ready'); - }, options.done); - }); - }; - var corefn = Core.prototype; // short alias - - extend(corefn, { - instanceString: function instanceString() { - return 'core'; - }, - isReady: function isReady() { - return this._private.ready; - }, - destroyed: function destroyed() { - return this._private.destroyed; - }, - ready: function ready(fn) { - if (this.isReady()) { - this.emitter().emit('ready', [], fn); // just calls fn as though triggered via ready event - } else { - this.on('ready', fn); - } - return this; - }, - destroy: function destroy() { - var cy = this; - if (cy.destroyed()) return; - cy.stopAnimationLoop(); - cy.destroyRenderer(); - this.emit('destroy'); - cy._private.destroyed = true; - return cy; - }, - hasElementWithId: function hasElementWithId(id) { - return this._private.elements.hasElementWithId(id); - }, - getElementById: function getElementById(id) { - return this._private.elements.getElementById(id); - }, - hasCompoundNodes: function hasCompoundNodes() { - return this._private.hasCompoundNodes; - }, - headless: function headless() { - return this._private.renderer.isHeadless(); - }, - styleEnabled: function styleEnabled() { - return this._private.styleEnabled; - }, - addToPool: function addToPool(eles) { - this._private.elements.merge(eles); - return this; // chaining - }, - - removeFromPool: function removeFromPool(eles) { - this._private.elements.unmerge(eles); - return this; - }, - container: function container() { - return this._private.container || null; - }, - window: function window() { - var container = this._private.container; - if (container == null) return _window; - var ownerDocument = this._private.container.ownerDocument; - if (ownerDocument === undefined || ownerDocument == null) { - return _window; - } - return ownerDocument.defaultView || _window; - }, - mount: function mount(container) { - if (container == null) { - return; - } - var cy = this; - var _p = cy._private; - var options = _p.options; - if (!htmlElement(container) && htmlElement(container[0])) { - container = container[0]; - } - cy.stopAnimationLoop(); - cy.destroyRenderer(); - _p.container = container; - _p.styleEnabled = true; - cy.invalidateSize(); - cy.initRenderer(extend({}, options, options.renderer, { - // allow custom renderer name to be re-used, otherwise use canvas - name: options.renderer.name === 'null' ? 'canvas' : options.renderer.name - })); - cy.startAnimationLoop(); - cy.style(options.style); - cy.emit('mount'); - return cy; - }, - unmount: function unmount() { - var cy = this; - cy.stopAnimationLoop(); - cy.destroyRenderer(); - cy.initRenderer({ - name: 'null' - }); - cy.emit('unmount'); - return cy; - }, - options: function options() { - return copy(this._private.options); - }, - json: function json(obj) { - var cy = this; - var _p = cy._private; - var eles = cy.mutableElements(); - var getFreshRef = function getFreshRef(ele) { - return cy.getElementById(ele.id()); - }; - if (plainObject(obj)) { - // set - - cy.startBatch(); - if (obj.elements) { - var idInJson = {}; - var updateEles = function updateEles(jsons, gr) { - var toAdd = []; - var toMod = []; - for (var i = 0; i < jsons.length; i++) { - var json = jsons[i]; - if (!json.data.id) { - warn('cy.json() cannot handle elements without an ID attribute'); - continue; - } - var id = '' + json.data.id; // id must be string - var ele = cy.getElementById(id); - idInJson[id] = true; - if (ele.length !== 0) { - // existing element should be updated - toMod.push({ - ele: ele, - json: json - }); - } else { - // otherwise should be added - if (gr) { - json.group = gr; - toAdd.push(json); - } else { - toAdd.push(json); - } - } - } - cy.add(toAdd); - for (var _i = 0; _i < toMod.length; _i++) { - var _toMod$_i = toMod[_i], - _ele = _toMod$_i.ele, - _json = _toMod$_i.json; - _ele.json(_json); - } - }; - if (array(obj.elements)) { - // elements: [] - updateEles(obj.elements); - } else { - // elements: { nodes: [], edges: [] } - var grs = ['nodes', 'edges']; - for (var i = 0; i < grs.length; i++) { - var gr = grs[i]; - var elements = obj.elements[gr]; - if (array(elements)) { - updateEles(elements, gr); - } - } - } - var parentsToRemove = cy.collection(); - eles.filter(function (ele) { - return !idInJson[ele.id()]; - }).forEach(function (ele) { - if (ele.isParent()) { - parentsToRemove.merge(ele); - } else { - ele.remove(); - } - }); - - // so that children are not removed w/parent - parentsToRemove.forEach(function (ele) { - return ele.children().move({ - parent: null - }); - }); - - // intermediate parents may be moved by prior line, so make sure we remove by fresh refs - parentsToRemove.forEach(function (ele) { - return getFreshRef(ele).remove(); - }); - } - if (obj.style) { - cy.style(obj.style); - } - if (obj.zoom != null && obj.zoom !== _p.zoom) { - cy.zoom(obj.zoom); - } - if (obj.pan) { - if (obj.pan.x !== _p.pan.x || obj.pan.y !== _p.pan.y) { - cy.pan(obj.pan); - } - } - if (obj.data) { - cy.data(obj.data); - } - var fields = ['minZoom', 'maxZoom', 'zoomingEnabled', 'userZoomingEnabled', 'panningEnabled', 'userPanningEnabled', 'boxSelectionEnabled', 'autolock', 'autoungrabify', 'autounselectify', 'multiClickDebounceTime']; - for (var _i2 = 0; _i2 < fields.length; _i2++) { - var f = fields[_i2]; - if (obj[f] != null) { - cy[f](obj[f]); - } - } - cy.endBatch(); - return this; // chaining - } else { - // get - var flat = !!obj; - var json = {}; - if (flat) { - json.elements = this.elements().map(function (ele) { - return ele.json(); - }); - } else { - json.elements = {}; - eles.forEach(function (ele) { - var group = ele.group(); - if (!json.elements[group]) { - json.elements[group] = []; - } - json.elements[group].push(ele.json()); - }); - } - if (this._private.styleEnabled) { - json.style = cy.style().json(); - } - json.data = copy(cy.data()); - var options = _p.options; - json.zoomingEnabled = _p.zoomingEnabled; - json.userZoomingEnabled = _p.userZoomingEnabled; - json.zoom = _p.zoom; - json.minZoom = _p.minZoom; - json.maxZoom = _p.maxZoom; - json.panningEnabled = _p.panningEnabled; - json.userPanningEnabled = _p.userPanningEnabled; - json.pan = copy(_p.pan); - json.boxSelectionEnabled = _p.boxSelectionEnabled; - json.renderer = copy(options.renderer); - json.hideEdgesOnViewport = options.hideEdgesOnViewport; - json.textureOnViewport = options.textureOnViewport; - json.wheelSensitivity = options.wheelSensitivity; - json.motionBlur = options.motionBlur; - json.multiClickDebounceTime = options.multiClickDebounceTime; - return json; - } - } - }); - corefn.$id = corefn.getElementById; - [corefn$9, corefn$8, elesfn, corefn$7, corefn$6, corefn$5, corefn$4, corefn$3, corefn$2, corefn$1, fn].forEach(function (props) { - extend(corefn, props); - }); - - /* eslint-disable no-unused-vars */ - var defaults$7 = { - fit: true, - // whether to fit the viewport to the graph - directed: false, - // whether the tree is directed downwards (or edges can point in any direction if false) - padding: 30, - // padding on fit - circle: false, - // put depths in concentric circles if true, put depths top down if false - grid: false, - // whether to create an even grid into which the DAG is placed (circle:false only) - spacingFactor: 1.75, - // positive spacing factor, larger => more space between nodes (N.B. n/a if causes overlap) - boundingBox: undefined, - // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } - avoidOverlap: true, - // prevents node overlap, may overflow boundingBox if not enough space - nodeDimensionsIncludeLabels: false, - // Excludes the label when calculating node bounding boxes for the layout algorithm - roots: undefined, - // the roots of the trees - depthSort: undefined, - // a sorting function to order nodes at equal depth. e.g. function(a, b){ return a.data('weight') - b.data('weight') } - animate: false, - // whether to transition the node positions - animationDuration: 500, - // duration of animation in ms if enabled - animationEasing: undefined, - // easing of animation if enabled, - animateFilter: function animateFilter(node, i) { - return true; - }, - // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts - ready: undefined, - // callback on layoutready - stop: undefined, - // callback on layoutstop - transform: function transform(node, position) { - return position; - } // transform a given node position. Useful for changing flow direction in discrete layouts - }; - - var deprecatedOptionDefaults = { - maximal: false, - // whether to shift nodes down their natural BFS depths in order to avoid upwards edges (DAGS only); setting acyclic to true sets maximal to true also - acyclic: false // whether the tree is acyclic and thus a node could be shifted (due to the maximal option) multiple times without causing an infinite loop; setting to true sets maximal to true also; if you are uncertain whether a tree is acyclic, set to false to avoid potential infinite loops - }; - - /* eslint-enable */ - - var getInfo = function getInfo(ele) { - return ele.scratch('breadthfirst'); - }; - var setInfo = function setInfo(ele, obj) { - return ele.scratch('breadthfirst', obj); - }; - function BreadthFirstLayout(options) { - this.options = extend({}, defaults$7, deprecatedOptionDefaults, options); - } - BreadthFirstLayout.prototype.run = function () { - var params = this.options; - var options = params; - var cy = params.cy; - var eles = options.eles; - var nodes = eles.nodes().filter(function (n) { - return !n.isParent(); - }); - var graph = eles; - var directed = options.directed; - var maximal = options.acyclic || options.maximal || options.maximalAdjustments > 0; // maximalAdjustments for compat. w/ old code; also, setting acyclic to true sets maximal to true - - var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { - x1: 0, - y1: 0, - w: cy.width(), - h: cy.height() - }); - var roots; - if (elementOrCollection(options.roots)) { - roots = options.roots; - } else if (array(options.roots)) { - var rootsArray = []; - for (var i = 0; i < options.roots.length; i++) { - var id = options.roots[i]; - var ele = cy.getElementById(id); - rootsArray.push(ele); - } - roots = cy.collection(rootsArray); - } else if (string(options.roots)) { - roots = cy.$(options.roots); - } else { - if (directed) { - roots = nodes.roots(); - } else { - var components = eles.components(); - roots = cy.collection(); - var _loop = function _loop(_i) { - var comp = components[_i]; - var maxDegree = comp.maxDegree(false); - var compRoots = comp.filter(function (ele) { - return ele.degree(false) === maxDegree; - }); - roots = roots.add(compRoots); - }; - for (var _i = 0; _i < components.length; _i++) { - _loop(_i); - } - } - } - var depths = []; - var foundByBfs = {}; - var addToDepth = function addToDepth(ele, d) { - if (depths[d] == null) { - depths[d] = []; - } - var i = depths[d].length; - depths[d].push(ele); - setInfo(ele, { - index: i, - depth: d - }); - }; - var changeDepth = function changeDepth(ele, newDepth) { - var _getInfo = getInfo(ele), - depth = _getInfo.depth, - index = _getInfo.index; - depths[depth][index] = null; - addToDepth(ele, newDepth); - }; - - // find the depths of the nodes - graph.bfs({ - roots: roots, - directed: options.directed, - visit: function visit(node, edge, pNode, i, depth) { - var ele = node[0]; - var id = ele.id(); - addToDepth(ele, depth); - foundByBfs[id] = true; - } - }); - - // check for nodes not found by bfs - var orphanNodes = []; - for (var _i2 = 0; _i2 < nodes.length; _i2++) { - var _ele = nodes[_i2]; - if (foundByBfs[_ele.id()]) { - continue; - } else { - orphanNodes.push(_ele); - } - } - - // assign the nodes a depth and index - - var assignDepthsAt = function assignDepthsAt(i) { - var eles = depths[i]; - for (var j = 0; j < eles.length; j++) { - var _ele2 = eles[j]; - if (_ele2 == null) { - eles.splice(j, 1); - j--; - continue; - } - setInfo(_ele2, { - depth: i, - index: j - }); - } - }; - var assignDepths = function assignDepths() { - for (var _i3 = 0; _i3 < depths.length; _i3++) { - assignDepthsAt(_i3); - } - }; - var adjustMaximally = function adjustMaximally(ele, shifted) { - var eInfo = getInfo(ele); - var incomers = ele.incomers().filter(function (el) { - return el.isNode() && eles.has(el); - }); - var maxDepth = -1; - var id = ele.id(); - for (var k = 0; k < incomers.length; k++) { - var incmr = incomers[k]; - var iInfo = getInfo(incmr); - maxDepth = Math.max(maxDepth, iInfo.depth); - } - if (eInfo.depth <= maxDepth) { - if (!options.acyclic && shifted[id]) { - return null; - } - var newDepth = maxDepth + 1; - changeDepth(ele, newDepth); - shifted[id] = newDepth; - return true; - } - return false; - }; - - // for the directed case, try to make the edges all go down (i.e. depth i => depth i + 1) - if (directed && maximal) { - var Q = []; - var shifted = {}; - var enqueue = function enqueue(n) { - return Q.push(n); - }; - var dequeue = function dequeue() { - return Q.shift(); - }; - nodes.forEach(function (n) { - return Q.push(n); - }); - while (Q.length > 0) { - var _ele3 = dequeue(); - var didShift = adjustMaximally(_ele3, shifted); - if (didShift) { - _ele3.outgoers().filter(function (el) { - return el.isNode() && eles.has(el); - }).forEach(enqueue); - } else if (didShift === null) { - warn('Detected double maximal shift for node `' + _ele3.id() + '`. Bailing maximal adjustment due to cycle. Use `options.maximal: true` only on DAGs.'); - break; // exit on failure - } - } - } - - assignDepths(); // clear holes - - // find min distance we need to leave between nodes - var minDistance = 0; - if (options.avoidOverlap) { - for (var _i4 = 0; _i4 < nodes.length; _i4++) { - var n = nodes[_i4]; - var nbb = n.layoutDimensions(options); - var w = nbb.w; - var h = nbb.h; - minDistance = Math.max(minDistance, w, h); - } - } - - // get the weighted percent for an element based on its connectivity to other levels - var cachedWeightedPercent = {}; - var getWeightedPercent = function getWeightedPercent(ele) { - if (cachedWeightedPercent[ele.id()]) { - return cachedWeightedPercent[ele.id()]; - } - var eleDepth = getInfo(ele).depth; - var neighbors = ele.neighborhood(); - var percent = 0; - var samples = 0; - for (var _i5 = 0; _i5 < neighbors.length; _i5++) { - var neighbor = neighbors[_i5]; - if (neighbor.isEdge() || neighbor.isParent() || !nodes.has(neighbor)) { - continue; - } - var bf = getInfo(neighbor); - if (bf == null) { - continue; - } - var index = bf.index; - var depth = bf.depth; - - // unassigned neighbours shouldn't affect the ordering - if (index == null || depth == null) { - continue; - } - var nDepth = depths[depth].length; - if (depth < eleDepth) { - // only get influenced by elements above - percent += index / nDepth; - samples++; - } - } - samples = Math.max(1, samples); - percent = percent / samples; - if (samples === 0) { - // put lone nodes at the start - percent = 0; - } - cachedWeightedPercent[ele.id()] = percent; - return percent; - }; - - // rearrange the indices in each depth level based on connectivity - - var sortFn = function sortFn(a, b) { - var apct = getWeightedPercent(a); - var bpct = getWeightedPercent(b); - var diff = apct - bpct; - if (diff === 0) { - return ascending(a.id(), b.id()); // make sure sort doesn't have don't-care comparisons - } else { - return diff; - } - }; - if (options.depthSort !== undefined) { - sortFn = options.depthSort; - } - - // sort each level to make connected nodes closer - for (var _i6 = 0; _i6 < depths.length; _i6++) { - depths[_i6].sort(sortFn); - assignDepthsAt(_i6); - } - - // assign orphan nodes to a new top-level depth - var orphanDepth = []; - for (var _i7 = 0; _i7 < orphanNodes.length; _i7++) { - orphanDepth.push(orphanNodes[_i7]); - } - depths.unshift(orphanDepth); - assignDepths(); - var biggestDepthSize = 0; - for (var _i8 = 0; _i8 < depths.length; _i8++) { - biggestDepthSize = Math.max(depths[_i8].length, biggestDepthSize); - } - var center = { - x: bb.x1 + bb.w / 2, - y: bb.x1 + bb.h / 2 - }; - var maxDepthSize = depths.reduce(function (max, eles) { - return Math.max(max, eles.length); - }, 0); - var getPosition = function getPosition(ele) { - var _getInfo2 = getInfo(ele), - depth = _getInfo2.depth, - index = _getInfo2.index; - var depthSize = depths[depth].length; - var distanceX = Math.max(bb.w / ((options.grid ? maxDepthSize : depthSize) + 1), minDistance); - var distanceY = Math.max(bb.h / (depths.length + 1), minDistance); - var radiusStepSize = Math.min(bb.w / 2 / depths.length, bb.h / 2 / depths.length); - radiusStepSize = Math.max(radiusStepSize, minDistance); - if (!options.circle) { - var epos = { - x: center.x + (index + 1 - (depthSize + 1) / 2) * distanceX, - y: (depth + 1) * distanceY - }; - return epos; - } else { - var radius = radiusStepSize * depth + radiusStepSize - (depths.length > 0 && depths[0].length <= 3 ? radiusStepSize / 2 : 0); - var theta = 2 * Math.PI / depths[depth].length * index; - if (depth === 0 && depths[0].length === 1) { - radius = 1; - } - return { - x: center.x + radius * Math.cos(theta), - y: center.y + radius * Math.sin(theta) - }; - } - }; - eles.nodes().layoutPositions(this, options, getPosition); - return this; // chaining - }; - - var defaults$6 = { - fit: true, - // whether to fit the viewport to the graph - padding: 30, - // the padding on fit - boundingBox: undefined, - // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } - avoidOverlap: true, - // prevents node overlap, may overflow boundingBox and radius if not enough space - nodeDimensionsIncludeLabels: false, - // Excludes the label when calculating node bounding boxes for the layout algorithm - spacingFactor: undefined, - // Applies a multiplicative factor (>0) to expand or compress the overall area that the nodes take up - radius: undefined, - // the radius of the circle - startAngle: 3 / 2 * Math.PI, - // where nodes start in radians - sweep: undefined, - // how many radians should be between the first and last node (defaults to full circle) - clockwise: true, - // whether the layout should go clockwise (true) or counterclockwise/anticlockwise (false) - sort: undefined, - // a sorting function to order the nodes; e.g. function(a, b){ return a.data('weight') - b.data('weight') } - animate: false, - // whether to transition the node positions - animationDuration: 500, - // duration of animation in ms if enabled - animationEasing: undefined, - // easing of animation if enabled - animateFilter: function animateFilter(node, i) { - return true; - }, - // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts - ready: undefined, - // callback on layoutready - stop: undefined, - // callback on layoutstop - transform: function transform(node, position) { - return position; - } // transform a given node position. Useful for changing flow direction in discrete layouts - }; - - function CircleLayout(options) { - this.options = extend({}, defaults$6, options); - } - CircleLayout.prototype.run = function () { - var params = this.options; - var options = params; - var cy = params.cy; - var eles = options.eles; - var clockwise = options.counterclockwise !== undefined ? !options.counterclockwise : options.clockwise; - var nodes = eles.nodes().not(':parent'); - if (options.sort) { - nodes = nodes.sort(options.sort); - } - var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { - x1: 0, - y1: 0, - w: cy.width(), - h: cy.height() - }); - var center = { - x: bb.x1 + bb.w / 2, - y: bb.y1 + bb.h / 2 - }; - var sweep = options.sweep === undefined ? 2 * Math.PI - 2 * Math.PI / nodes.length : options.sweep; - var dTheta = sweep / Math.max(1, nodes.length - 1); - var r; - var minDistance = 0; - for (var i = 0; i < nodes.length; i++) { - var n = nodes[i]; - var nbb = n.layoutDimensions(options); - var w = nbb.w; - var h = nbb.h; - minDistance = Math.max(minDistance, w, h); - } - if (number$1(options.radius)) { - r = options.radius; - } else if (nodes.length <= 1) { - r = 0; - } else { - r = Math.min(bb.h, bb.w) / 2 - minDistance; - } - - // calculate the radius - if (nodes.length > 1 && options.avoidOverlap) { - // but only if more than one node (can't overlap) - minDistance *= 1.75; // just to have some nice spacing - - var dcos = Math.cos(dTheta) - Math.cos(0); - var dsin = Math.sin(dTheta) - Math.sin(0); - var rMin = Math.sqrt(minDistance * minDistance / (dcos * dcos + dsin * dsin)); // s.t. no nodes overlapping - r = Math.max(rMin, r); - } - var getPos = function getPos(ele, i) { - var theta = options.startAngle + i * dTheta * (clockwise ? 1 : -1); - var rx = r * Math.cos(theta); - var ry = r * Math.sin(theta); - var pos = { - x: center.x + rx, - y: center.y + ry - }; - return pos; - }; - eles.nodes().layoutPositions(this, options, getPos); - return this; // chaining - }; - - var defaults$5 = { - fit: true, - // whether to fit the viewport to the graph - padding: 30, - // the padding on fit - startAngle: 3 / 2 * Math.PI, - // where nodes start in radians - sweep: undefined, - // how many radians should be between the first and last node (defaults to full circle) - clockwise: true, - // whether the layout should go clockwise (true) or counterclockwise/anticlockwise (false) - equidistant: false, - // whether levels have an equal radial distance betwen them, may cause bounding box overflow - minNodeSpacing: 10, - // min spacing between outside of nodes (used for radius adjustment) - boundingBox: undefined, - // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } - avoidOverlap: true, - // prevents node overlap, may overflow boundingBox if not enough space - nodeDimensionsIncludeLabels: false, - // Excludes the label when calculating node bounding boxes for the layout algorithm - height: undefined, - // height of layout area (overrides container height) - width: undefined, - // width of layout area (overrides container width) - spacingFactor: undefined, - // Applies a multiplicative factor (>0) to expand or compress the overall area that the nodes take up - concentric: function concentric(node) { - // returns numeric value for each node, placing higher nodes in levels towards the centre - return node.degree(); - }, - levelWidth: function levelWidth(nodes) { - // the variation of concentric values in each level - return nodes.maxDegree() / 4; - }, - animate: false, - // whether to transition the node positions - animationDuration: 500, - // duration of animation in ms if enabled - animationEasing: undefined, - // easing of animation if enabled - animateFilter: function animateFilter(node, i) { - return true; - }, - // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts - ready: undefined, - // callback on layoutready - stop: undefined, - // callback on layoutstop - transform: function transform(node, position) { - return position; - } // transform a given node position. Useful for changing flow direction in discrete layouts - }; - - function ConcentricLayout(options) { - this.options = extend({}, defaults$5, options); - } - ConcentricLayout.prototype.run = function () { - var params = this.options; - var options = params; - var clockwise = options.counterclockwise !== undefined ? !options.counterclockwise : options.clockwise; - var cy = params.cy; - var eles = options.eles; - var nodes = eles.nodes().not(':parent'); - var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { - x1: 0, - y1: 0, - w: cy.width(), - h: cy.height() - }); - var center = { - x: bb.x1 + bb.w / 2, - y: bb.y1 + bb.h / 2 - }; - var nodeValues = []; // { node, value } - var maxNodeSize = 0; - for (var i = 0; i < nodes.length; i++) { - var node = nodes[i]; - var value = void 0; - - // calculate the node value - value = options.concentric(node); - nodeValues.push({ - value: value, - node: node - }); - - // for style mapping - node._private.scratch.concentric = value; - } - - // in case we used the `concentric` in style - nodes.updateStyle(); - - // calculate max size now based on potentially updated mappers - for (var _i = 0; _i < nodes.length; _i++) { - var _node = nodes[_i]; - var nbb = _node.layoutDimensions(options); - maxNodeSize = Math.max(maxNodeSize, nbb.w, nbb.h); - } - - // sort node values in descreasing order - nodeValues.sort(function (a, b) { - return b.value - a.value; - }); - var levelWidth = options.levelWidth(nodes); - - // put the values into levels - var levels = [[]]; - var currentLevel = levels[0]; - for (var _i2 = 0; _i2 < nodeValues.length; _i2++) { - var val = nodeValues[_i2]; - if (currentLevel.length > 0) { - var diff = Math.abs(currentLevel[0].value - val.value); - if (diff >= levelWidth) { - currentLevel = []; - levels.push(currentLevel); - } - } - currentLevel.push(val); - } - - // create positions from levels - - var minDist = maxNodeSize + options.minNodeSpacing; // min dist between nodes - - if (!options.avoidOverlap) { - // then strictly constrain to bb - var firstLvlHasMulti = levels.length > 0 && levels[0].length > 1; - var maxR = Math.min(bb.w, bb.h) / 2 - minDist; - var rStep = maxR / (levels.length + firstLvlHasMulti ? 1 : 0); - minDist = Math.min(minDist, rStep); - } - - // find the metrics for each level - var r = 0; - for (var _i3 = 0; _i3 < levels.length; _i3++) { - var level = levels[_i3]; - var sweep = options.sweep === undefined ? 2 * Math.PI - 2 * Math.PI / level.length : options.sweep; - var dTheta = level.dTheta = sweep / Math.max(1, level.length - 1); - - // calculate the radius - if (level.length > 1 && options.avoidOverlap) { - // but only if more than one node (can't overlap) - var dcos = Math.cos(dTheta) - Math.cos(0); - var dsin = Math.sin(dTheta) - Math.sin(0); - var rMin = Math.sqrt(minDist * minDist / (dcos * dcos + dsin * dsin)); // s.t. no nodes overlapping - - r = Math.max(rMin, r); - } - level.r = r; - r += minDist; - } - if (options.equidistant) { - var rDeltaMax = 0; - var _r = 0; - for (var _i4 = 0; _i4 < levels.length; _i4++) { - var _level = levels[_i4]; - var rDelta = _level.r - _r; - rDeltaMax = Math.max(rDeltaMax, rDelta); - } - _r = 0; - for (var _i5 = 0; _i5 < levels.length; _i5++) { - var _level2 = levels[_i5]; - if (_i5 === 0) { - _r = _level2.r; - } - _level2.r = _r; - _r += rDeltaMax; - } - } - - // calculate the node positions - var pos = {}; // id => position - for (var _i6 = 0; _i6 < levels.length; _i6++) { - var _level3 = levels[_i6]; - var _dTheta = _level3.dTheta; - var _r2 = _level3.r; - for (var j = 0; j < _level3.length; j++) { - var _val = _level3[j]; - var theta = options.startAngle + (clockwise ? 1 : -1) * _dTheta * j; - var p = { - x: center.x + _r2 * Math.cos(theta), - y: center.y + _r2 * Math.sin(theta) - }; - pos[_val.node.id()] = p; - } - } - - // position the nodes - eles.nodes().layoutPositions(this, options, function (ele) { - var id = ele.id(); - return pos[id]; - }); - return this; // chaining - }; - - /* - The CoSE layout was written by Gerardo Huck. - https://www.linkedin.com/in/gerardohuck/ - - Based on the following article: - http://dl.acm.org/citation.cfm?id=1498047 - - Modifications tracked on Github. - */ - var DEBUG; - - /** - * @brief : default layout options - */ - var defaults$4 = { - // Called on `layoutready` - ready: function ready() {}, - // Called on `layoutstop` - stop: function stop() {}, - // Whether to animate while running the layout - // true : Animate continuously as the layout is running - // false : Just show the end result - // 'end' : Animate with the end result, from the initial positions to the end positions - animate: true, - // Easing of the animation for animate:'end' - animationEasing: undefined, - // The duration of the animation for animate:'end' - animationDuration: undefined, - // A function that determines whether the node should be animated - // All nodes animated by default on animate enabled - // Non-animated nodes are positioned immediately when the layout starts - animateFilter: function animateFilter(node, i) { - return true; - }, - // The layout animates only after this many milliseconds for animate:true - // (prevents flashing on fast runs) - animationThreshold: 250, - // Number of iterations between consecutive screen positions update - refresh: 20, - // Whether to fit the network view after when done - fit: true, - // Padding on fit - padding: 30, - // Constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } - boundingBox: undefined, - // Excludes the label when calculating node bounding boxes for the layout algorithm - nodeDimensionsIncludeLabels: false, - // Randomize the initial positions of the nodes (true) or use existing positions (false) - randomize: false, - // Extra spacing between components in non-compound graphs - componentSpacing: 40, - // Node repulsion (non overlapping) multiplier - nodeRepulsion: function nodeRepulsion(node) { - return 2048; - }, - // Node repulsion (overlapping) multiplier - nodeOverlap: 4, - // Ideal edge (non nested) length - idealEdgeLength: function idealEdgeLength(edge) { - return 32; - }, - // Divisor to compute edge forces - edgeElasticity: function edgeElasticity(edge) { - return 32; - }, - // Nesting factor (multiplier) to compute ideal edge length for nested edges - nestingFactor: 1.2, - // Gravity force (constant) - gravity: 1, - // Maximum number of iterations to perform - numIter: 1000, - // Initial temperature (maximum node displacement) - initialTemp: 1000, - // Cooling factor (how the temperature is reduced between consecutive iterations - coolingFactor: 0.99, - // Lower temperature threshold (below this point the layout will end) - minTemp: 1.0 - }; - - /** - * @brief : constructor - * @arg options : object containing layout options - */ - function CoseLayout(options) { - this.options = extend({}, defaults$4, options); - this.options.layout = this; - - // Exclude any edge that has a source or target node that is not in the set of passed-in nodes - var nodes = this.options.eles.nodes(); - var edges = this.options.eles.edges(); - var notEdges = edges.filter(function (e) { - var sourceId = e.source().data('id'); - var targetId = e.target().data('id'); - var hasSource = nodes.some(function (n) { - return n.data('id') === sourceId; - }); - var hasTarget = nodes.some(function (n) { - return n.data('id') === targetId; - }); - return !hasSource || !hasTarget; - }); - this.options.eles = this.options.eles.not(notEdges); - } - - /** - * @brief : runs the layout - */ - CoseLayout.prototype.run = function () { - var options = this.options; - var cy = options.cy; - var layout = this; - layout.stopped = false; - if (options.animate === true || options.animate === false) { - layout.emit({ - type: 'layoutstart', - layout: layout - }); - } - - // Set DEBUG - Global variable - if (true === options.debug) { - DEBUG = true; - } else { - DEBUG = false; - } - - // Initialize layout info - var layoutInfo = createLayoutInfo(cy, layout, options); - - // Show LayoutInfo contents if debugging - if (DEBUG) { - printLayoutInfo(layoutInfo); - } - - // If required, randomize node positions - if (options.randomize) { - randomizePositions(layoutInfo); - } - var startTime = performanceNow(); - var refresh = function refresh() { - refreshPositions(layoutInfo, cy, options); - - // Fit the graph if necessary - if (true === options.fit) { - cy.fit(options.padding); - } - }; - var mainLoop = function mainLoop(i) { - if (layout.stopped || i >= options.numIter) { - // logDebug("Layout manually stopped. Stopping computation in step " + i); - return false; - } - - // Do one step in the phisical simulation - step(layoutInfo, options); - - // Update temperature - layoutInfo.temperature = layoutInfo.temperature * options.coolingFactor; - // logDebug("New temperature: " + layoutInfo.temperature); - - if (layoutInfo.temperature < options.minTemp) { - // logDebug("Temperature drop below minimum threshold. Stopping computation in step " + i); - return false; - } - return true; - }; - var done = function done() { - if (options.animate === true || options.animate === false) { - refresh(); - - // Layout has finished - layout.one('layoutstop', options.stop); - layout.emit({ - type: 'layoutstop', - layout: layout - }); - } else { - var nodes = options.eles.nodes(); - var getScaledPos = getScaleInBoundsFn(layoutInfo, options, nodes); - nodes.layoutPositions(layout, options, getScaledPos); - } - }; - var i = 0; - var loopRet = true; - if (options.animate === true) { - var frame = function frame() { - var f = 0; - while (loopRet && f < options.refresh) { - loopRet = mainLoop(i); - i++; - f++; - } - if (!loopRet) { - // it's done - separateComponents(layoutInfo, options); - done(); - } else { - var now = performanceNow(); - if (now - startTime >= options.animationThreshold) { - refresh(); - } - requestAnimationFrame(frame); - } - }; - frame(); - } else { - while (loopRet) { - loopRet = mainLoop(i); - i++; - } - separateComponents(layoutInfo, options); - done(); - } - return this; // chaining - }; - - /** - * @brief : called on continuous layouts to stop them before they finish - */ - CoseLayout.prototype.stop = function () { - this.stopped = true; - if (this.thread) { - this.thread.stop(); - } - this.emit('layoutstop'); - return this; // chaining - }; - - CoseLayout.prototype.destroy = function () { - if (this.thread) { - this.thread.stop(); - } - return this; // chaining - }; - - /** - * @brief : Creates an object which is contains all the data - * used in the layout process - * @arg cy : cytoscape.js object - * @return : layoutInfo object initialized - */ - var createLayoutInfo = function createLayoutInfo(cy, layout, options) { - // Shortcut - var edges = options.eles.edges(); - var nodes = options.eles.nodes(); - var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { - x1: 0, - y1: 0, - w: cy.width(), - h: cy.height() - }); - var layoutInfo = { - isCompound: cy.hasCompoundNodes(), - layoutNodes: [], - idToIndex: {}, - nodeSize: nodes.size(), - graphSet: [], - indexToGraph: [], - layoutEdges: [], - edgeSize: edges.size(), - temperature: options.initialTemp, - clientWidth: bb.w, - clientHeight: bb.h, - boundingBox: bb - }; - var components = options.eles.components(); - var id2cmptId = {}; - for (var i = 0; i < components.length; i++) { - var component = components[i]; - for (var j = 0; j < component.length; j++) { - var node = component[j]; - id2cmptId[node.id()] = i; - } - } - - // Iterate over all nodes, creating layout nodes - for (var i = 0; i < layoutInfo.nodeSize; i++) { - var n = nodes[i]; - var nbb = n.layoutDimensions(options); - var tempNode = {}; - tempNode.isLocked = n.locked(); - tempNode.id = n.data('id'); - tempNode.parentId = n.data('parent'); - tempNode.cmptId = id2cmptId[n.id()]; - tempNode.children = []; - tempNode.positionX = n.position('x'); - tempNode.positionY = n.position('y'); - tempNode.offsetX = 0; - tempNode.offsetY = 0; - tempNode.height = nbb.w; - tempNode.width = nbb.h; - tempNode.maxX = tempNode.positionX + tempNode.width / 2; - tempNode.minX = tempNode.positionX - tempNode.width / 2; - tempNode.maxY = tempNode.positionY + tempNode.height / 2; - tempNode.minY = tempNode.positionY - tempNode.height / 2; - tempNode.padLeft = parseFloat(n.style('padding')); - tempNode.padRight = parseFloat(n.style('padding')); - tempNode.padTop = parseFloat(n.style('padding')); - tempNode.padBottom = parseFloat(n.style('padding')); - - // forces - tempNode.nodeRepulsion = fn$6(options.nodeRepulsion) ? options.nodeRepulsion(n) : options.nodeRepulsion; - - // Add new node - layoutInfo.layoutNodes.push(tempNode); - // Add entry to id-index map - layoutInfo.idToIndex[tempNode.id] = i; - } - - // Inline implementation of a queue, used for traversing the graph in BFS order - var queue = []; - var start = 0; // Points to the start the queue - var end = -1; // Points to the end of the queue - - var tempGraph = []; - - // Second pass to add child information and - // initialize queue for hierarchical traversal - for (var i = 0; i < layoutInfo.nodeSize; i++) { - var n = layoutInfo.layoutNodes[i]; - var p_id = n.parentId; - // Check if node n has a parent node - if (null != p_id) { - // Add node Id to parent's list of children - layoutInfo.layoutNodes[layoutInfo.idToIndex[p_id]].children.push(n.id); - } else { - // If a node doesn't have a parent, then it's in the root graph - queue[++end] = n.id; - tempGraph.push(n.id); - } - } - - // Add root graph to graphSet - layoutInfo.graphSet.push(tempGraph); - - // Traverse the graph, level by level, - while (start <= end) { - // Get the node to visit and remove it from queue - var node_id = queue[start++]; - var node_ix = layoutInfo.idToIndex[node_id]; - var node = layoutInfo.layoutNodes[node_ix]; - var children = node.children; - if (children.length > 0) { - // Add children nodes as a new graph to graph set - layoutInfo.graphSet.push(children); - // Add children to que queue to be visited - for (var i = 0; i < children.length; i++) { - queue[++end] = children[i]; - } - } - } - - // Create indexToGraph map - for (var i = 0; i < layoutInfo.graphSet.length; i++) { - var graph = layoutInfo.graphSet[i]; - for (var j = 0; j < graph.length; j++) { - var index = layoutInfo.idToIndex[graph[j]]; - layoutInfo.indexToGraph[index] = i; - } - } - - // Iterate over all edges, creating Layout Edges - for (var i = 0; i < layoutInfo.edgeSize; i++) { - var e = edges[i]; - var tempEdge = {}; - tempEdge.id = e.data('id'); - tempEdge.sourceId = e.data('source'); - tempEdge.targetId = e.data('target'); - - // Compute ideal length - var idealLength = fn$6(options.idealEdgeLength) ? options.idealEdgeLength(e) : options.idealEdgeLength; - var elasticity = fn$6(options.edgeElasticity) ? options.edgeElasticity(e) : options.edgeElasticity; - - // Check if it's an inter graph edge - var sourceIx = layoutInfo.idToIndex[tempEdge.sourceId]; - var targetIx = layoutInfo.idToIndex[tempEdge.targetId]; - var sourceGraph = layoutInfo.indexToGraph[sourceIx]; - var targetGraph = layoutInfo.indexToGraph[targetIx]; - if (sourceGraph != targetGraph) { - // Find lowest common graph ancestor - var lca = findLCA(tempEdge.sourceId, tempEdge.targetId, layoutInfo); - - // Compute sum of node depths, relative to lca graph - var lcaGraph = layoutInfo.graphSet[lca]; - var depth = 0; - - // Source depth - var tempNode = layoutInfo.layoutNodes[sourceIx]; - while (-1 === lcaGraph.indexOf(tempNode.id)) { - tempNode = layoutInfo.layoutNodes[layoutInfo.idToIndex[tempNode.parentId]]; - depth++; - } - - // Target depth - tempNode = layoutInfo.layoutNodes[targetIx]; - while (-1 === lcaGraph.indexOf(tempNode.id)) { - tempNode = layoutInfo.layoutNodes[layoutInfo.idToIndex[tempNode.parentId]]; - depth++; - } - - // logDebug('LCA of nodes ' + tempEdge.sourceId + ' and ' + tempEdge.targetId + - // ". Index: " + lca + " Contents: " + lcaGraph.toString() + - // ". Depth: " + depth); - - // Update idealLength - idealLength *= depth * options.nestingFactor; - } - tempEdge.idealLength = idealLength; - tempEdge.elasticity = elasticity; - layoutInfo.layoutEdges.push(tempEdge); - } - - // Finally, return layoutInfo object - return layoutInfo; - }; - - /** - * @brief : This function finds the index of the lowest common - * graph ancestor between 2 nodes in the subtree - * (from the graph hierarchy induced tree) whose - * root is graphIx - * - * @arg node1: node1's ID - * @arg node2: node2's ID - * @arg layoutInfo: layoutInfo object - * - */ - var findLCA = function findLCA(node1, node2, layoutInfo) { - // Find their common ancester, starting from the root graph - var res = findLCA_aux(node1, node2, 0, layoutInfo); - if (2 > res.count) { - // If aux function couldn't find the common ancester, - // then it is the root graph - return 0; - } else { - return res.graph; - } - }; - - /** - * @brief : Auxiliary function used for LCA computation - * - * @arg node1 : node1's ID - * @arg node2 : node2's ID - * @arg graphIx : subgraph index - * @arg layoutInfo : layoutInfo object - * - * @return : object of the form {count: X, graph: Y}, where: - * X is the number of ancestors (max: 2) found in - * graphIx (and it's subgraphs), - * Y is the graph index of the lowest graph containing - * all X nodes - */ - var findLCA_aux = function findLCA_aux(node1, node2, graphIx, layoutInfo) { - var graph = layoutInfo.graphSet[graphIx]; - // If both nodes belongs to graphIx - if (-1 < graph.indexOf(node1) && -1 < graph.indexOf(node2)) { - return { - count: 2, - graph: graphIx - }; - } - - // Make recursive calls for all subgraphs - var c = 0; - for (var i = 0; i < graph.length; i++) { - var nodeId = graph[i]; - var nodeIx = layoutInfo.idToIndex[nodeId]; - var children = layoutInfo.layoutNodes[nodeIx].children; - - // If the node has no child, skip it - if (0 === children.length) { - continue; - } - var childGraphIx = layoutInfo.indexToGraph[layoutInfo.idToIndex[children[0]]]; - var result = findLCA_aux(node1, node2, childGraphIx, layoutInfo); - if (0 === result.count) { - // Neither node1 nor node2 are present in this subgraph - continue; - } else if (1 === result.count) { - // One of (node1, node2) is present in this subgraph - c++; - if (2 === c) { - // We've already found both nodes, no need to keep searching - break; - } - } else { - // Both nodes are present in this subgraph - return result; - } - } - return { - count: c, - graph: graphIx - }; - }; - - /** - * @brief: printsLayoutInfo into js console - * Only used for debbuging - */ -var printLayoutInfo; - - /** - * @brief : Randomizes the position of all nodes - */ - var randomizePositions = function randomizePositions(layoutInfo, cy) { - var width = layoutInfo.clientWidth; - var height = layoutInfo.clientHeight; - for (var i = 0; i < layoutInfo.nodeSize; i++) { - var n = layoutInfo.layoutNodes[i]; - - // No need to randomize compound nodes or locked nodes - if (0 === n.children.length && !n.isLocked) { - n.positionX = Math.random() * width; - n.positionY = Math.random() * height; - } - } - }; - var getScaleInBoundsFn = function getScaleInBoundsFn(layoutInfo, options, nodes) { - var bb = layoutInfo.boundingBox; - var coseBB = { - x1: Infinity, - x2: -Infinity, - y1: Infinity, - y2: -Infinity - }; - if (options.boundingBox) { - nodes.forEach(function (node) { - var lnode = layoutInfo.layoutNodes[layoutInfo.idToIndex[node.data('id')]]; - coseBB.x1 = Math.min(coseBB.x1, lnode.positionX); - coseBB.x2 = Math.max(coseBB.x2, lnode.positionX); - coseBB.y1 = Math.min(coseBB.y1, lnode.positionY); - coseBB.y2 = Math.max(coseBB.y2, lnode.positionY); - }); - coseBB.w = coseBB.x2 - coseBB.x1; - coseBB.h = coseBB.y2 - coseBB.y1; - } - return function (ele, i) { - var lnode = layoutInfo.layoutNodes[layoutInfo.idToIndex[ele.data('id')]]; - if (options.boundingBox) { - // then add extra bounding box constraint - var pctX = (lnode.positionX - coseBB.x1) / coseBB.w; - var pctY = (lnode.positionY - coseBB.y1) / coseBB.h; - return { - x: bb.x1 + pctX * bb.w, - y: bb.y1 + pctY * bb.h - }; - } else { - return { - x: lnode.positionX, - y: lnode.positionY - }; - } - }; - }; - - /** - * @brief : Updates the positions of nodes in the network - * @arg layoutInfo : LayoutInfo object - * @arg cy : Cytoscape object - * @arg options : Layout options - */ - var refreshPositions = function refreshPositions(layoutInfo, cy, options) { - // var s = 'Refreshing positions'; - // logDebug(s); - - var layout = options.layout; - var nodes = options.eles.nodes(); - var getScaledPos = getScaleInBoundsFn(layoutInfo, options, nodes); - nodes.positions(getScaledPos); - - // Trigger layoutReady only on first call - if (true !== layoutInfo.ready) { - // s = 'Triggering layoutready'; - // logDebug(s); - layoutInfo.ready = true; - layout.one('layoutready', options.ready); - layout.emit({ - type: 'layoutready', - layout: this - }); - } - }; - - /** - * @brief : Logs a debug message in JS console, if DEBUG is ON - */ - // var logDebug = function(text) { - // if (DEBUG) { - // console.debug(text); - // } - // }; - - /** - * @brief : Performs one iteration of the physical simulation - * @arg layoutInfo : LayoutInfo object already initialized - * @arg cy : Cytoscape object - * @arg options : Layout options - */ - var step = function step(layoutInfo, options, _step) { - // var s = "\n\n###############################"; - // s += "\nSTEP: " + step; - // s += "\n###############################\n"; - // logDebug(s); - - // Calculate node repulsions - calculateNodeForces(layoutInfo, options); - // Calculate edge forces - calculateEdgeForces(layoutInfo); - // Calculate gravity forces - calculateGravityForces(layoutInfo, options); - // Propagate forces from parent to child - propagateForces(layoutInfo); - // Update positions based on calculated forces - updatePositions(layoutInfo); - }; - - /** - * @brief : Computes the node repulsion forces - */ - var calculateNodeForces = function calculateNodeForces(layoutInfo, options) { - // Go through each of the graphs in graphSet - // Nodes only repel each other if they belong to the same graph - // var s = 'calculateNodeForces'; - // logDebug(s); - for (var i = 0; i < layoutInfo.graphSet.length; i++) { - var graph = layoutInfo.graphSet[i]; - var numNodes = graph.length; - - // s = "Set: " + graph.toString(); - // logDebug(s); - - // Now get all the pairs of nodes - // Only get each pair once, (A, B) = (B, A) - for (var j = 0; j < numNodes; j++) { - var node1 = layoutInfo.layoutNodes[layoutInfo.idToIndex[graph[j]]]; - for (var k = j + 1; k < numNodes; k++) { - var node2 = layoutInfo.layoutNodes[layoutInfo.idToIndex[graph[k]]]; - nodeRepulsion(node1, node2, layoutInfo, options); - } - } - } - }; - var randomDistance = function randomDistance(max) { - return -max + 2 * max * Math.random(); - }; - - /** - * @brief : Compute the node repulsion forces between a pair of nodes - */ - var nodeRepulsion = function nodeRepulsion(node1, node2, layoutInfo, options) { - // var s = "Node repulsion. Node1: " + node1.id + " Node2: " + node2.id; - - var cmptId1 = node1.cmptId; - var cmptId2 = node2.cmptId; - if (cmptId1 !== cmptId2 && !layoutInfo.isCompound) { - return; - } - - // Get direction of line connecting both node centers - var directionX = node2.positionX - node1.positionX; - var directionY = node2.positionY - node1.positionY; - var maxRandDist = 1; - // s += "\ndirectionX: " + directionX + ", directionY: " + directionY; - - // If both centers are the same, apply a random force - if (0 === directionX && 0 === directionY) { - directionX = randomDistance(maxRandDist); - directionY = randomDistance(maxRandDist); - } - var overlap = nodesOverlap(node1, node2, directionX, directionY); - if (overlap > 0) { - // s += "\nNodes DO overlap."; - // s += "\nOverlap: " + overlap; - // If nodes overlap, repulsion force is proportional - // to the overlap - var force = options.nodeOverlap * overlap; - - // Compute the module and components of the force vector - var distance = Math.sqrt(directionX * directionX + directionY * directionY); - // s += "\nDistance: " + distance; - var forceX = force * directionX / distance; - var forceY = force * directionY / distance; - } else { - // s += "\nNodes do NOT overlap."; - // If there's no overlap, force is inversely proportional - // to squared distance - - // Get clipping points for both nodes - var point1 = findClippingPoint(node1, directionX, directionY); - var point2 = findClippingPoint(node2, -1 * directionX, -1 * directionY); - - // Use clipping points to compute distance - var distanceX = point2.x - point1.x; - var distanceY = point2.y - point1.y; - var distanceSqr = distanceX * distanceX + distanceY * distanceY; - var distance = Math.sqrt(distanceSqr); - // s += "\nDistance: " + distance; - - // Compute the module and components of the force vector - var force = (node1.nodeRepulsion + node2.nodeRepulsion) / distanceSqr; - var forceX = force * distanceX / distance; - var forceY = force * distanceY / distance; - } - - // Apply force - if (!node1.isLocked) { - node1.offsetX -= forceX; - node1.offsetY -= forceY; - } - if (!node2.isLocked) { - node2.offsetX += forceX; - node2.offsetY += forceY; - } - - // s += "\nForceX: " + forceX + " ForceY: " + forceY; - // logDebug(s); - - return; - }; - - /** - * @brief : Determines whether two nodes overlap or not - * @return : Amount of overlapping (0 => no overlap) - */ - var nodesOverlap = function nodesOverlap(node1, node2, dX, dY) { - if (dX > 0) { - var overlapX = node1.maxX - node2.minX; - } else { - var overlapX = node2.maxX - node1.minX; - } - if (dY > 0) { - var overlapY = node1.maxY - node2.minY; - } else { - var overlapY = node2.maxY - node1.minY; - } - if (overlapX >= 0 && overlapY >= 0) { - return Math.sqrt(overlapX * overlapX + overlapY * overlapY); - } else { - return 0; - } - }; - - /** - * @brief : Finds the point in which an edge (direction dX, dY) intersects - * the rectangular bounding box of it's source/target node - */ - var findClippingPoint = function findClippingPoint(node, dX, dY) { - // Shorcuts - var X = node.positionX; - var Y = node.positionY; - var H = node.height || 1; - var W = node.width || 1; - var dirSlope = dY / dX; - var nodeSlope = H / W; - - // var s = 'Computing clipping point of node ' + node.id + - // " . Height: " + H + ", Width: " + W + - // "\nDirection " + dX + ", " + dY; - // - // Compute intersection - var res = {}; - - // Case: Vertical direction (up) - if (0 === dX && 0 < dY) { - res.x = X; - // s += "\nUp direction"; - res.y = Y + H / 2; - return res; - } - - // Case: Vertical direction (down) - if (0 === dX && 0 > dY) { - res.x = X; - res.y = Y + H / 2; - // s += "\nDown direction"; - - return res; - } - - // Case: Intersects the right border - if (0 < dX && -1 * nodeSlope <= dirSlope && dirSlope <= nodeSlope) { - res.x = X + W / 2; - res.y = Y + W * dY / 2 / dX; - // s += "\nRightborder"; - - return res; - } - - // Case: Intersects the left border - if (0 > dX && -1 * nodeSlope <= dirSlope && dirSlope <= nodeSlope) { - res.x = X - W / 2; - res.y = Y - W * dY / 2 / dX; - // s += "\nLeftborder"; - - return res; - } - - // Case: Intersects the top border - if (0 < dY && (dirSlope <= -1 * nodeSlope || dirSlope >= nodeSlope)) { - res.x = X + H * dX / 2 / dY; - res.y = Y + H / 2; - // s += "\nTop border"; - - return res; - } - - // Case: Intersects the bottom border - if (0 > dY && (dirSlope <= -1 * nodeSlope || dirSlope >= nodeSlope)) { - res.x = X - H * dX / 2 / dY; - res.y = Y - H / 2; - // s += "\nBottom border"; - - return res; - } - - // s += "\nClipping point found at " + res.x + ", " + res.y; - // logDebug(s); - return res; - }; - - /** - * @brief : Calculates all edge forces - */ - var calculateEdgeForces = function calculateEdgeForces(layoutInfo, options) { - // Iterate over all edges - for (var i = 0; i < layoutInfo.edgeSize; i++) { - // Get edge, source & target nodes - var edge = layoutInfo.layoutEdges[i]; - var sourceIx = layoutInfo.idToIndex[edge.sourceId]; - var source = layoutInfo.layoutNodes[sourceIx]; - var targetIx = layoutInfo.idToIndex[edge.targetId]; - var target = layoutInfo.layoutNodes[targetIx]; - - // Get direction of line connecting both node centers - var directionX = target.positionX - source.positionX; - var directionY = target.positionY - source.positionY; - - // If both centers are the same, do nothing. - // A random force has already been applied as node repulsion - if (0 === directionX && 0 === directionY) { - continue; - } - - // Get clipping points for both nodes - var point1 = findClippingPoint(source, directionX, directionY); - var point2 = findClippingPoint(target, -1 * directionX, -1 * directionY); - var lx = point2.x - point1.x; - var ly = point2.y - point1.y; - var l = Math.sqrt(lx * lx + ly * ly); - var force = Math.pow(edge.idealLength - l, 2) / edge.elasticity; - if (0 !== l) { - var forceX = force * lx / l; - var forceY = force * ly / l; - } else { - var forceX = 0; - var forceY = 0; - } - - // Add this force to target and source nodes - if (!source.isLocked) { - source.offsetX += forceX; - source.offsetY += forceY; - } - if (!target.isLocked) { - target.offsetX -= forceX; - target.offsetY -= forceY; - } - - // var s = 'Edge force between nodes ' + source.id + ' and ' + target.id; - // s += "\nDistance: " + l + " Force: (" + forceX + ", " + forceY + ")"; - // logDebug(s); - } - }; - - /** - * @brief : Computes gravity forces for all nodes - */ - var calculateGravityForces = function calculateGravityForces(layoutInfo, options) { - if (options.gravity === 0) { - return; - } - var distThreshold = 1; - - // var s = 'calculateGravityForces'; - // logDebug(s); - for (var i = 0; i < layoutInfo.graphSet.length; i++) { - var graph = layoutInfo.graphSet[i]; - var numNodes = graph.length; - - // s = "Set: " + graph.toString(); - // logDebug(s); - - // Compute graph center - if (0 === i) { - var centerX = layoutInfo.clientHeight / 2; - var centerY = layoutInfo.clientWidth / 2; - } else { - // Get Parent node for this graph, and use its position as center - var temp = layoutInfo.layoutNodes[layoutInfo.idToIndex[graph[0]]]; - var parent = layoutInfo.layoutNodes[layoutInfo.idToIndex[temp.parentId]]; - var centerX = parent.positionX; - var centerY = parent.positionY; - } - // s = "Center found at: " + centerX + ", " + centerY; - // logDebug(s); - - // Apply force to all nodes in graph - for (var j = 0; j < numNodes; j++) { - var node = layoutInfo.layoutNodes[layoutInfo.idToIndex[graph[j]]]; - // s = "Node: " + node.id; - - if (node.isLocked) { - continue; - } - var dx = centerX - node.positionX; - var dy = centerY - node.positionY; - var d = Math.sqrt(dx * dx + dy * dy); - if (d > distThreshold) { - var fx = options.gravity * dx / d; - var fy = options.gravity * dy / d; - node.offsetX += fx; - node.offsetY += fy; - // s += ": Applied force: " + fx + ", " + fy; - } - // logDebug(s); - } - } - }; - - /** - * @brief : This function propagates the existing offsets from - * parent nodes to its descendents. - * @arg layoutInfo : layoutInfo Object - * @arg cy : cytoscape Object - * @arg options : Layout options - */ - var propagateForces = function propagateForces(layoutInfo, options) { - // Inline implementation of a queue, used for traversing the graph in BFS order - var queue = []; - var start = 0; // Points to the start the queue - var end = -1; // Points to the end of the queue - - // logDebug('propagateForces'); - - // Start by visiting the nodes in the root graph - queue.push.apply(queue, layoutInfo.graphSet[0]); - end += layoutInfo.graphSet[0].length; - - // Traverse the graph, level by level, - while (start <= end) { - // Get the node to visit and remove it from queue - var nodeId = queue[start++]; - var nodeIndex = layoutInfo.idToIndex[nodeId]; - var node = layoutInfo.layoutNodes[nodeIndex]; - var children = node.children; - - // We only need to process the node if it's compound - if (0 < children.length && !node.isLocked) { - var offX = node.offsetX; - var offY = node.offsetY; - - // var s = "Propagating offset from parent node : " + node.id + - // ". OffsetX: " + offX + ". OffsetY: " + offY; - // s += "\n Children: " + children.toString(); - // logDebug(s); - - for (var i = 0; i < children.length; i++) { - var childNode = layoutInfo.layoutNodes[layoutInfo.idToIndex[children[i]]]; - // Propagate offset - childNode.offsetX += offX; - childNode.offsetY += offY; - // Add children to queue to be visited - queue[++end] = children[i]; - } - - // Reset parent offsets - node.offsetX = 0; - node.offsetY = 0; - } - } - }; - - /** - * @brief : Updates the layout model positions, based on - * the accumulated forces - */ - var updatePositions = function updatePositions(layoutInfo, options) { - // var s = 'Updating positions'; - // logDebug(s); - - // Reset boundaries for compound nodes - for (var i = 0; i < layoutInfo.nodeSize; i++) { - var n = layoutInfo.layoutNodes[i]; - if (0 < n.children.length) { - // logDebug("Resetting boundaries of compound node: " + n.id); - n.maxX = undefined; - n.minX = undefined; - n.maxY = undefined; - n.minY = undefined; - } - } - for (var i = 0; i < layoutInfo.nodeSize; i++) { - var n = layoutInfo.layoutNodes[i]; - if (0 < n.children.length || n.isLocked) { - // No need to set compound or locked node position - // logDebug("Skipping position update of node: " + n.id); - continue; - } - // s = "Node: " + n.id + " Previous position: (" + - // n.positionX + ", " + n.positionY + ")."; - - // Limit displacement in order to improve stability - var tempForce = limitForce(n.offsetX, n.offsetY, layoutInfo.temperature); - n.positionX += tempForce.x; - n.positionY += tempForce.y; - n.offsetX = 0; - n.offsetY = 0; - n.minX = n.positionX - n.width; - n.maxX = n.positionX + n.width; - n.minY = n.positionY - n.height; - n.maxY = n.positionY + n.height; - // s += " New Position: (" + n.positionX + ", " + n.positionY + ")."; - // logDebug(s); - - // Update ancestry boudaries - updateAncestryBoundaries(n, layoutInfo); - } - - // Update size, position of compund nodes - for (var i = 0; i < layoutInfo.nodeSize; i++) { - var n = layoutInfo.layoutNodes[i]; - if (0 < n.children.length && !n.isLocked) { - n.positionX = (n.maxX + n.minX) / 2; - n.positionY = (n.maxY + n.minY) / 2; - n.width = n.maxX - n.minX; - n.height = n.maxY - n.minY; - // s = "Updating position, size of compound node " + n.id; - // s += "\nPositionX: " + n.positionX + ", PositionY: " + n.positionY; - // s += "\nWidth: " + n.width + ", Height: " + n.height; - // logDebug(s); - } - } - }; - - /** - * @brief : Limits a force (forceX, forceY) to be not - * greater (in modulo) than max. - 8 Preserves force direction. - */ - var limitForce = function limitForce(forceX, forceY, max) { - // var s = "Limiting force: (" + forceX + ", " + forceY + "). Max: " + max; - var force = Math.sqrt(forceX * forceX + forceY * forceY); - if (force > max) { - var res = { - x: max * forceX / force, - y: max * forceY / force - }; - } else { - var res = { - x: forceX, - y: forceY - }; - } - - // s += ".\nResult: (" + res.x + ", " + res.y + ")"; - // logDebug(s); - - return res; - }; - - /** - * @brief : Function used for keeping track of compound node - * sizes, since they should bound all their subnodes. - */ - var updateAncestryBoundaries = function updateAncestryBoundaries(node, layoutInfo) { - // var s = "Propagating new position/size of node " + node.id; - var parentId = node.parentId; - if (null == parentId) { - // If there's no parent, we are done - // s += ". No parent node."; - // logDebug(s); - return; - } - - // Get Parent Node - var p = layoutInfo.layoutNodes[layoutInfo.idToIndex[parentId]]; - var flag = false; - - // MaxX - if (null == p.maxX || node.maxX + p.padRight > p.maxX) { - p.maxX = node.maxX + p.padRight; - flag = true; - // s += "\nNew maxX for parent node " + p.id + ": " + p.maxX; - } - - // MinX - if (null == p.minX || node.minX - p.padLeft < p.minX) { - p.minX = node.minX - p.padLeft; - flag = true; - // s += "\nNew minX for parent node " + p.id + ": " + p.minX; - } - - // MaxY - if (null == p.maxY || node.maxY + p.padBottom > p.maxY) { - p.maxY = node.maxY + p.padBottom; - flag = true; - // s += "\nNew maxY for parent node " + p.id + ": " + p.maxY; - } - - // MinY - if (null == p.minY || node.minY - p.padTop < p.minY) { - p.minY = node.minY - p.padTop; - flag = true; - // s += "\nNew minY for parent node " + p.id + ": " + p.minY; - } - - // If updated boundaries, propagate changes upward - if (flag) { - // logDebug(s); - return updateAncestryBoundaries(p, layoutInfo); - } - - // s += ". No changes in boundaries/position of parent node " + p.id; - // logDebug(s); - return; - }; - var separateComponents = function separateComponents(layoutInfo, options) { - var nodes = layoutInfo.layoutNodes; - var components = []; - for (var i = 0; i < nodes.length; i++) { - var node = nodes[i]; - var cid = node.cmptId; - var component = components[cid] = components[cid] || []; - component.push(node); - } - var totalA = 0; - for (var i = 0; i < components.length; i++) { - var c = components[i]; - if (!c) { - continue; - } - c.x1 = Infinity; - c.x2 = -Infinity; - c.y1 = Infinity; - c.y2 = -Infinity; - for (var j = 0; j < c.length; j++) { - var n = c[j]; - c.x1 = Math.min(c.x1, n.positionX - n.width / 2); - c.x2 = Math.max(c.x2, n.positionX + n.width / 2); - c.y1 = Math.min(c.y1, n.positionY - n.height / 2); - c.y2 = Math.max(c.y2, n.positionY + n.height / 2); - } - c.w = c.x2 - c.x1; - c.h = c.y2 - c.y1; - totalA += c.w * c.h; - } - components.sort(function (c1, c2) { - return c2.w * c2.h - c1.w * c1.h; - }); - var x = 0; - var y = 0; - var usedW = 0; - var rowH = 0; - var maxRowW = Math.sqrt(totalA) * layoutInfo.clientWidth / layoutInfo.clientHeight; - for (var i = 0; i < components.length; i++) { - var c = components[i]; - if (!c) { - continue; - } - for (var j = 0; j < c.length; j++) { - var n = c[j]; - if (!n.isLocked) { - n.positionX += x - c.x1; - n.positionY += y - c.y1; - } - } - x += c.w + options.componentSpacing; - usedW += c.w + options.componentSpacing; - rowH = Math.max(rowH, c.h); - if (usedW > maxRowW) { - y += rowH + options.componentSpacing; - x = 0; - usedW = 0; - rowH = 0; - } - } - }; - - var defaults$3 = { - fit: true, - // whether to fit the viewport to the graph - padding: 30, - // padding used on fit - boundingBox: undefined, - // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } - avoidOverlap: true, - // prevents node overlap, may overflow boundingBox if not enough space - avoidOverlapPadding: 10, - // extra spacing around nodes when avoidOverlap: true - nodeDimensionsIncludeLabels: false, - // Excludes the label when calculating node bounding boxes for the layout algorithm - spacingFactor: undefined, - // Applies a multiplicative factor (>0) to expand or compress the overall area that the nodes take up - condense: false, - // uses all available space on false, uses minimal space on true - rows: undefined, - // force num of rows in the grid - cols: undefined, - // force num of columns in the grid - position: function position(node) {}, - // returns { row, col } for element - sort: undefined, - // a sorting function to order the nodes; e.g. function(a, b){ return a.data('weight') - b.data('weight') } - animate: false, - // whether to transition the node positions - animationDuration: 500, - // duration of animation in ms if enabled - animationEasing: undefined, - // easing of animation if enabled - animateFilter: function animateFilter(node, i) { - return true; - }, - // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts - ready: undefined, - // callback on layoutready - stop: undefined, - // callback on layoutstop - transform: function transform(node, position) { - return position; - } // transform a given node position. Useful for changing flow direction in discrete layouts - }; - - function GridLayout(options) { - this.options = extend({}, defaults$3, options); - } - GridLayout.prototype.run = function () { - var params = this.options; - var options = params; - var cy = params.cy; - var eles = options.eles; - var nodes = eles.nodes().not(':parent'); - if (options.sort) { - nodes = nodes.sort(options.sort); - } - var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { - x1: 0, - y1: 0, - w: cy.width(), - h: cy.height() - }); - if (bb.h === 0 || bb.w === 0) { - eles.nodes().layoutPositions(this, options, function (ele) { - return { - x: bb.x1, - y: bb.y1 - }; - }); - } else { - // width/height * splits^2 = cells where splits is number of times to split width - var cells = nodes.size(); - var splits = Math.sqrt(cells * bb.h / bb.w); - var rows = Math.round(splits); - var cols = Math.round(bb.w / bb.h * splits); - var small = function small(val) { - if (val == null) { - return Math.min(rows, cols); - } else { - var min = Math.min(rows, cols); - if (min == rows) { - rows = val; - } else { - cols = val; - } - } - }; - var large = function large(val) { - if (val == null) { - return Math.max(rows, cols); - } else { - var max = Math.max(rows, cols); - if (max == rows) { - rows = val; - } else { - cols = val; - } - } - }; - var oRows = options.rows; - var oCols = options.cols != null ? options.cols : options.columns; - - // if rows or columns were set in options, use those values - if (oRows != null && oCols != null) { - rows = oRows; - cols = oCols; - } else if (oRows != null && oCols == null) { - rows = oRows; - cols = Math.ceil(cells / rows); - } else if (oRows == null && oCols != null) { - cols = oCols; - rows = Math.ceil(cells / cols); - } - - // otherwise use the automatic values and adjust accordingly - - // if rounding was up, see if we can reduce rows or columns - else if (cols * rows > cells) { - var sm = small(); - var lg = large(); - - // reducing the small side takes away the most cells, so try it first - if ((sm - 1) * lg >= cells) { - small(sm - 1); - } else if ((lg - 1) * sm >= cells) { - large(lg - 1); - } - } else { - // if rounding was too low, add rows or columns - while (cols * rows < cells) { - var _sm = small(); - var _lg = large(); - - // try to add to larger side first (adds less in multiplication) - if ((_lg + 1) * _sm >= cells) { - large(_lg + 1); - } else { - small(_sm + 1); - } - } - } - var cellWidth = bb.w / cols; - var cellHeight = bb.h / rows; - if (options.condense) { - cellWidth = 0; - cellHeight = 0; - } - if (options.avoidOverlap) { - for (var i = 0; i < nodes.length; i++) { - var node = nodes[i]; - var pos = node._private.position; - if (pos.x == null || pos.y == null) { - // for bb - pos.x = 0; - pos.y = 0; - } - var nbb = node.layoutDimensions(options); - var p = options.avoidOverlapPadding; - var w = nbb.w + p; - var h = nbb.h + p; - cellWidth = Math.max(cellWidth, w); - cellHeight = Math.max(cellHeight, h); - } - } - var cellUsed = {}; // e.g. 'c-0-2' => true - - var used = function used(row, col) { - return cellUsed['c-' + row + '-' + col] ? true : false; - }; - var use = function use(row, col) { - cellUsed['c-' + row + '-' + col] = true; - }; - - // to keep track of current cell position - var row = 0; - var col = 0; - var moveToNextCell = function moveToNextCell() { - col++; - if (col >= cols) { - col = 0; - row++; - } - }; - - // get a cache of all the manual positions - var id2manPos = {}; - for (var _i = 0; _i < nodes.length; _i++) { - var _node = nodes[_i]; - var rcPos = options.position(_node); - if (rcPos && (rcPos.row !== undefined || rcPos.col !== undefined)) { - // must have at least row or col def'd - var _pos = { - row: rcPos.row, - col: rcPos.col - }; - if (_pos.col === undefined) { - // find unused col - _pos.col = 0; - while (used(_pos.row, _pos.col)) { - _pos.col++; - } - } else if (_pos.row === undefined) { - // find unused row - _pos.row = 0; - while (used(_pos.row, _pos.col)) { - _pos.row++; - } - } - id2manPos[_node.id()] = _pos; - use(_pos.row, _pos.col); - } - } - var getPos = function getPos(element, i) { - var x, y; - if (element.locked() || element.isParent()) { - return false; - } - - // see if we have a manual position set - var rcPos = id2manPos[element.id()]; - if (rcPos) { - x = rcPos.col * cellWidth + cellWidth / 2 + bb.x1; - y = rcPos.row * cellHeight + cellHeight / 2 + bb.y1; - } else { - // otherwise set automatically - - while (used(row, col)) { - moveToNextCell(); - } - x = col * cellWidth + cellWidth / 2 + bb.x1; - y = row * cellHeight + cellHeight / 2 + bb.y1; - use(row, col); - moveToNextCell(); - } - return { - x: x, - y: y - }; - }; - nodes.layoutPositions(this, options, getPos); - } - return this; // chaining - }; - - // default layout options - var defaults$2 = { - ready: function ready() {}, - // on layoutready - stop: function stop() {} // on layoutstop - }; - - // constructor - // options : object containing layout options - function NullLayout(options) { - this.options = extend({}, defaults$2, options); - } - - // runs the layout - NullLayout.prototype.run = function () { - var options = this.options; - var eles = options.eles; // elements to consider in the layout - var layout = this; - - // cy is automatically populated for us in the constructor - // (disable eslint for next line as this serves as example layout code to external developers) - // eslint-disable-next-line no-unused-vars - options.cy; - layout.emit('layoutstart'); - - // puts all nodes at (0, 0) - // n.b. most layouts would use layoutPositions(), instead of positions() and manual events - eles.nodes().positions(function () { - return { - x: 0, - y: 0 - }; - }); - - // trigger layoutready when each node has had its position set at least once - layout.one('layoutready', options.ready); - layout.emit('layoutready'); - - // trigger layoutstop when the layout stops (e.g. finishes) - layout.one('layoutstop', options.stop); - layout.emit('layoutstop'); - return this; // chaining - }; - - // called on continuous layouts to stop them before they finish - NullLayout.prototype.stop = function () { - return this; // chaining - }; - - var defaults$1 = { - positions: undefined, - // map of (node id) => (position obj); or function(node){ return somPos; } - zoom: undefined, - // the zoom level to set (prob want fit = false if set) - pan: undefined, - // the pan level to set (prob want fit = false if set) - fit: true, - // whether to fit to viewport - padding: 30, - // padding on fit - spacingFactor: undefined, - // Applies a multiplicative factor (>0) to expand or compress the overall area that the nodes take up - animate: false, - // whether to transition the node positions - animationDuration: 500, - // duration of animation in ms if enabled - animationEasing: undefined, - // easing of animation if enabled - animateFilter: function animateFilter(node, i) { - return true; - }, - // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts - ready: undefined, - // callback on layoutready - stop: undefined, - // callback on layoutstop - transform: function transform(node, position) { - return position; - } // transform a given node position. Useful for changing flow direction in discrete layouts - }; - - function PresetLayout(options) { - this.options = extend({}, defaults$1, options); - } - PresetLayout.prototype.run = function () { - var options = this.options; - var eles = options.eles; - var nodes = eles.nodes(); - var posIsFn = fn$6(options.positions); - function getPosition(node) { - if (options.positions == null) { - return copyPosition(node.position()); - } - if (posIsFn) { - return options.positions(node); - } - var pos = options.positions[node._private.data.id]; - if (pos == null) { - return null; - } - return pos; - } - nodes.layoutPositions(this, options, function (node, i) { - var position = getPosition(node); - if (node.locked() || position == null) { - return false; - } - return position; - }); - return this; // chaining - }; - - var defaults = { - fit: true, - // whether to fit to viewport - padding: 30, - // fit padding - boundingBox: undefined, - // constrain layout bounds; { x1, y1, x2, y2 } or { x1, y1, w, h } - animate: false, - // whether to transition the node positions - animationDuration: 500, - // duration of animation in ms if enabled - animationEasing: undefined, - // easing of animation if enabled - animateFilter: function animateFilter(node, i) { - return true; - }, - // a function that determines whether the node should be animated. All nodes animated by default on animate enabled. Non-animated nodes are positioned immediately when the layout starts - ready: undefined, - // callback on layoutready - stop: undefined, - // callback on layoutstop - transform: function transform(node, position) { - return position; - } // transform a given node position. Useful for changing flow direction in discrete layouts - }; - - function RandomLayout(options) { - this.options = extend({}, defaults, options); - } - RandomLayout.prototype.run = function () { - var options = this.options; - var cy = options.cy; - var eles = options.eles; - var bb = makeBoundingBox(options.boundingBox ? options.boundingBox : { - x1: 0, - y1: 0, - w: cy.width(), - h: cy.height() - }); - var getPos = function getPos(node, i) { - return { - x: bb.x1 + Math.round(Math.random() * bb.w), - y: bb.y1 + Math.round(Math.random() * bb.h) - }; - }; - eles.nodes().layoutPositions(this, options, getPos); - return this; // chaining - }; - - var layout = [{ - name: 'breadthfirst', - impl: BreadthFirstLayout - }, { - name: 'circle', - impl: CircleLayout - }, { - name: 'concentric', - impl: ConcentricLayout - }, { - name: 'cose', - impl: CoseLayout - }, { - name: 'grid', - impl: GridLayout - }, { - name: 'null', - impl: NullLayout - }, { - name: 'preset', - impl: PresetLayout - }, { - name: 'random', - impl: RandomLayout - }]; - - function NullRenderer(options) { - this.options = options; - this.notifications = 0; // for testing - } - - var noop = function noop() {}; - var throwImgErr = function throwImgErr() { - throw new Error('A headless instance can not render images'); - }; - NullRenderer.prototype = { - recalculateRenderedStyle: noop, - notify: function notify() { - this.notifications++; - }, - init: noop, - isHeadless: function isHeadless() { - return true; - }, - png: throwImgErr, - jpg: throwImgErr - }; - - var BRp$f = {}; - BRp$f.arrowShapeWidth = 0.3; - BRp$f.registerArrowShapes = function () { - var arrowShapes = this.arrowShapes = {}; - var renderer = this; - - // Contract for arrow shapes: - // 0, 0 is arrow tip - // (0, 1) is direction towards node - // (1, 0) is right - // - // functional api: - // collide: check x, y in shape - // roughCollide: called before collide, no false negatives - // draw: draw - // spacing: dist(arrowTip, nodeBoundary) - // gap: dist(edgeTip, nodeBoundary), edgeTip may != arrowTip - - var bbCollide = function bbCollide(x, y, size, angle, translation, edgeWidth, padding) { - var x1 = translation.x - size / 2 - padding; - var x2 = translation.x + size / 2 + padding; - var y1 = translation.y - size / 2 - padding; - var y2 = translation.y + size / 2 + padding; - var inside = x1 <= x && x <= x2 && y1 <= y && y <= y2; - return inside; - }; - var transform = function transform(x, y, size, angle, translation) { - var xRotated = x * Math.cos(angle) - y * Math.sin(angle); - var yRotated = x * Math.sin(angle) + y * Math.cos(angle); - var xScaled = xRotated * size; - var yScaled = yRotated * size; - var xTranslated = xScaled + translation.x; - var yTranslated = yScaled + translation.y; - return { - x: xTranslated, - y: yTranslated - }; - }; - var transformPoints = function transformPoints(pts, size, angle, translation) { - var retPts = []; - for (var i = 0; i < pts.length; i += 2) { - var x = pts[i]; - var y = pts[i + 1]; - retPts.push(transform(x, y, size, angle, translation)); - } - return retPts; - }; - var pointsToArr = function pointsToArr(pts) { - var ret = []; - for (var i = 0; i < pts.length; i++) { - var p = pts[i]; - ret.push(p.x, p.y); - } - return ret; - }; - var standardGap = function standardGap(edge) { - return edge.pstyle('width').pfValue * edge.pstyle('arrow-scale').pfValue * 2; - }; - var defineArrowShape = function defineArrowShape(name, defn) { - if (string(defn)) { - defn = arrowShapes[defn]; - } - arrowShapes[name] = extend({ - name: name, - points: [-0.15, -0.3, 0.15, -0.3, 0.15, 0.3, -0.15, 0.3], - collide: function collide(x, y, size, angle, translation, padding) { - var points = pointsToArr(transformPoints(this.points, size + 2 * padding, angle, translation)); - var inside = pointInsidePolygonPoints(x, y, points); - return inside; - }, - roughCollide: bbCollide, - draw: function draw(context, size, angle, translation) { - var points = transformPoints(this.points, size, angle, translation); - renderer.arrowShapeImpl('polygon')(context, points); - }, - spacing: function spacing(edge) { - return 0; - }, - gap: standardGap - }, defn); - }; - defineArrowShape('none', { - collide: falsify, - roughCollide: falsify, - draw: noop$1, - spacing: zeroify, - gap: zeroify - }); - defineArrowShape('triangle', { - points: [-0.15, -0.3, 0, 0, 0.15, -0.3] - }); - defineArrowShape('arrow', 'triangle'); - defineArrowShape('triangle-backcurve', { - points: arrowShapes['triangle'].points, - controlPoint: [0, -0.15], - roughCollide: bbCollide, - draw: function draw(context, size, angle, translation, edgeWidth) { - var ptsTrans = transformPoints(this.points, size, angle, translation); - var ctrlPt = this.controlPoint; - var ctrlPtTrans = transform(ctrlPt[0], ctrlPt[1], size, angle, translation); - renderer.arrowShapeImpl(this.name)(context, ptsTrans, ctrlPtTrans); - }, - gap: function gap(edge) { - return standardGap(edge) * 0.8; - } - }); - defineArrowShape('triangle-tee', { - points: [0, 0, 0.15, -0.3, -0.15, -0.3, 0, 0], - pointsTee: [-0.15, -0.4, -0.15, -0.5, 0.15, -0.5, 0.15, -0.4], - collide: function collide(x, y, size, angle, translation, edgeWidth, padding) { - var triPts = pointsToArr(transformPoints(this.points, size + 2 * padding, angle, translation)); - var teePts = pointsToArr(transformPoints(this.pointsTee, size + 2 * padding, angle, translation)); - var inside = pointInsidePolygonPoints(x, y, triPts) || pointInsidePolygonPoints(x, y, teePts); - return inside; - }, - draw: function draw(context, size, angle, translation, edgeWidth) { - var triPts = transformPoints(this.points, size, angle, translation); - var teePts = transformPoints(this.pointsTee, size, angle, translation); - renderer.arrowShapeImpl(this.name)(context, triPts, teePts); - } - }); - defineArrowShape('circle-triangle', { - radius: 0.15, - pointsTr: [0, -0.15, 0.15, -0.45, -0.15, -0.45, 0, -0.15], - collide: function collide(x, y, size, angle, translation, edgeWidth, padding) { - var t = translation; - var circleInside = Math.pow(t.x - x, 2) + Math.pow(t.y - y, 2) <= Math.pow((size + 2 * padding) * this.radius, 2); - var triPts = pointsToArr(transformPoints(this.points, size + 2 * padding, angle, translation)); - return pointInsidePolygonPoints(x, y, triPts) || circleInside; - }, - draw: function draw(context, size, angle, translation, edgeWidth) { - var triPts = transformPoints(this.pointsTr, size, angle, translation); - renderer.arrowShapeImpl(this.name)(context, triPts, translation.x, translation.y, this.radius * size); - }, - spacing: function spacing(edge) { - return renderer.getArrowWidth(edge.pstyle('width').pfValue, edge.pstyle('arrow-scale').value) * this.radius; - } - }); - defineArrowShape('triangle-cross', { - points: [0, 0, 0.15, -0.3, -0.15, -0.3, 0, 0], - baseCrossLinePts: [-0.15, -0.4, - // first half of the rectangle - -0.15, -0.4, 0.15, -0.4, - // second half of the rectangle - 0.15, -0.4], - crossLinePts: function crossLinePts(size, edgeWidth) { - // shift points so that the distance between the cross points matches edge width - var p = this.baseCrossLinePts.slice(); - var shiftFactor = edgeWidth / size; - var y0 = 3; - var y1 = 5; - p[y0] = p[y0] - shiftFactor; - p[y1] = p[y1] - shiftFactor; - return p; - }, - collide: function collide(x, y, size, angle, translation, edgeWidth, padding) { - var triPts = pointsToArr(transformPoints(this.points, size + 2 * padding, angle, translation)); - var teePts = pointsToArr(transformPoints(this.crossLinePts(size, edgeWidth), size + 2 * padding, angle, translation)); - var inside = pointInsidePolygonPoints(x, y, triPts) || pointInsidePolygonPoints(x, y, teePts); - return inside; - }, - draw: function draw(context, size, angle, translation, edgeWidth) { - var triPts = transformPoints(this.points, size, angle, translation); - var crossLinePts = transformPoints(this.crossLinePts(size, edgeWidth), size, angle, translation); - renderer.arrowShapeImpl(this.name)(context, triPts, crossLinePts); - } - }); - defineArrowShape('vee', { - points: [-0.15, -0.3, 0, 0, 0.15, -0.3, 0, -0.15], - gap: function gap(edge) { - return standardGap(edge) * 0.525; - } - }); - defineArrowShape('circle', { - radius: 0.15, - collide: function collide(x, y, size, angle, translation, edgeWidth, padding) { - var t = translation; - var inside = Math.pow(t.x - x, 2) + Math.pow(t.y - y, 2) <= Math.pow((size + 2 * padding) * this.radius, 2); - return inside; - }, - draw: function draw(context, size, angle, translation, edgeWidth) { - renderer.arrowShapeImpl(this.name)(context, translation.x, translation.y, this.radius * size); - }, - spacing: function spacing(edge) { - return renderer.getArrowWidth(edge.pstyle('width').pfValue, edge.pstyle('arrow-scale').value) * this.radius; - } - }); - defineArrowShape('tee', { - points: [-0.15, 0, -0.15, -0.1, 0.15, -0.1, 0.15, 0], - spacing: function spacing(edge) { - return 1; - }, - gap: function gap(edge) { - return 1; - } - }); - defineArrowShape('square', { - points: [-0.15, 0.00, 0.15, 0.00, 0.15, -0.3, -0.15, -0.3] - }); - defineArrowShape('diamond', { - points: [-0.15, -0.15, 0, -0.3, 0.15, -0.15, 0, 0], - gap: function gap(edge) { - return edge.pstyle('width').pfValue * edge.pstyle('arrow-scale').value; - } - }); - defineArrowShape('chevron', { - points: [0, 0, -0.15, -0.15, -0.1, -0.2, 0, -0.1, 0.1, -0.2, 0.15, -0.15], - gap: function gap(edge) { - return 0.95 * edge.pstyle('width').pfValue * edge.pstyle('arrow-scale').value; - } - }); - }; - - var BRp$e = {}; - - // Project mouse - BRp$e.projectIntoViewport = function (clientX, clientY) { - var cy = this.cy; - var offsets = this.findContainerClientCoords(); - var offsetLeft = offsets[0]; - var offsetTop = offsets[1]; - var scale = offsets[4]; - var pan = cy.pan(); - var zoom = cy.zoom(); - var x = ((clientX - offsetLeft) / scale - pan.x) / zoom; - var y = ((clientY - offsetTop) / scale - pan.y) / zoom; - return [x, y]; - }; - BRp$e.findContainerClientCoords = function () { - if (this.containerBB) { - return this.containerBB; - } - var container = this.container; - var rect = container.getBoundingClientRect(); - var style = this.cy.window().getComputedStyle(container); - var styleValue = function styleValue(name) { - return parseFloat(style.getPropertyValue(name)); - }; - var padding = { - left: styleValue('padding-left'), - right: styleValue('padding-right'), - top: styleValue('padding-top'), - bottom: styleValue('padding-bottom') - }; - var border = { - left: styleValue('border-left-width'), - right: styleValue('border-right-width'), - top: styleValue('border-top-width'), - bottom: styleValue('border-bottom-width') - }; - var clientWidth = container.clientWidth; - var clientHeight = container.clientHeight; - var paddingHor = padding.left + padding.right; - var paddingVer = padding.top + padding.bottom; - var borderHor = border.left + border.right; - var scale = rect.width / (clientWidth + borderHor); - var unscaledW = clientWidth - paddingHor; - var unscaledH = clientHeight - paddingVer; - var left = rect.left + padding.left + border.left; - var top = rect.top + padding.top + border.top; - return this.containerBB = [left, top, unscaledW, unscaledH, scale]; - }; - BRp$e.invalidateContainerClientCoordsCache = function () { - this.containerBB = null; - }; - BRp$e.findNearestElement = function (x, y, interactiveElementsOnly, isTouch) { - return this.findNearestElements(x, y, interactiveElementsOnly, isTouch)[0]; - }; - BRp$e.findNearestElements = function (x, y, interactiveElementsOnly, isTouch) { - var self = this; - var r = this; - var eles = r.getCachedZSortedEles(); - var near = []; // 1 node max, 1 edge max - var zoom = r.cy.zoom(); - var hasCompounds = r.cy.hasCompoundNodes(); - var edgeThreshold = (isTouch ? 24 : 8) / zoom; - var nodeThreshold = (isTouch ? 8 : 2) / zoom; - var labelThreshold = (isTouch ? 8 : 2) / zoom; - var minSqDist = Infinity; - var nearEdge; - var nearNode; - if (interactiveElementsOnly) { - eles = eles.interactive; - } - function addEle(ele, sqDist) { - if (ele.isNode()) { - if (nearNode) { - return; // can't replace node - } else { - nearNode = ele; - near.push(ele); - } - } - if (ele.isEdge() && (sqDist == null || sqDist < minSqDist)) { - if (nearEdge) { - // then replace existing edge - // can replace only if same z-index - if (nearEdge.pstyle('z-compound-depth').value === ele.pstyle('z-compound-depth').value && nearEdge.pstyle('z-compound-depth').value === ele.pstyle('z-compound-depth').value) { - for (var i = 0; i < near.length; i++) { - if (near[i].isEdge()) { - near[i] = ele; - nearEdge = ele; - minSqDist = sqDist != null ? sqDist : minSqDist; - break; - } - } - } - } else { - near.push(ele); - nearEdge = ele; - minSqDist = sqDist != null ? sqDist : minSqDist; - } - } - } - function checkNode(node) { - var width = node.outerWidth() + 2 * nodeThreshold; - var height = node.outerHeight() + 2 * nodeThreshold; - var hw = width / 2; - var hh = height / 2; - var pos = node.position(); - if (pos.x - hw <= x && x <= pos.x + hw // bb check x - && pos.y - hh <= y && y <= pos.y + hh // bb check y - ) { - var shape = r.nodeShapes[self.getNodeShape(node)]; - if (shape.checkPoint(x, y, 0, width, height, pos.x, pos.y)) { - addEle(node, 0); - return true; - } - } - } - function checkEdge(edge) { - var _p = edge._private; - var rs = _p.rscratch; - var styleWidth = edge.pstyle('width').pfValue; - var scale = edge.pstyle('arrow-scale').value; - var width = styleWidth / 2 + edgeThreshold; // more like a distance radius from centre - var widthSq = width * width; - var width2 = width * 2; - var src = _p.source; - var tgt = _p.target; - var sqDist; - if (rs.edgeType === 'segments' || rs.edgeType === 'straight' || rs.edgeType === 'haystack') { - var pts = rs.allpts; - for (var i = 0; i + 3 < pts.length; i += 2) { - if (inLineVicinity(x, y, pts[i], pts[i + 1], pts[i + 2], pts[i + 3], width2) && widthSq > (sqDist = sqdistToFiniteLine(x, y, pts[i], pts[i + 1], pts[i + 2], pts[i + 3]))) { - addEle(edge, sqDist); - return true; - } - } - } else if (rs.edgeType === 'bezier' || rs.edgeType === 'multibezier' || rs.edgeType === 'self' || rs.edgeType === 'compound') { - var pts = rs.allpts; - for (var i = 0; i + 5 < rs.allpts.length; i += 4) { - if (inBezierVicinity(x, y, pts[i], pts[i + 1], pts[i + 2], pts[i + 3], pts[i + 4], pts[i + 5], width2) && widthSq > (sqDist = sqdistToQuadraticBezier(x, y, pts[i], pts[i + 1], pts[i + 2], pts[i + 3], pts[i + 4], pts[i + 5]))) { - addEle(edge, sqDist); - return true; - } - } - } - - // if we're close to the edge but didn't hit it, maybe we hit its arrows - - var src = src || _p.source; - var tgt = tgt || _p.target; - var arSize = self.getArrowWidth(styleWidth, scale); - var arrows = [{ - name: 'source', - x: rs.arrowStartX, - y: rs.arrowStartY, - angle: rs.srcArrowAngle - }, { - name: 'target', - x: rs.arrowEndX, - y: rs.arrowEndY, - angle: rs.tgtArrowAngle - }, { - name: 'mid-source', - x: rs.midX, - y: rs.midY, - angle: rs.midsrcArrowAngle - }, { - name: 'mid-target', - x: rs.midX, - y: rs.midY, - angle: rs.midtgtArrowAngle - }]; - for (var i = 0; i < arrows.length; i++) { - var ar = arrows[i]; - var shape = r.arrowShapes[edge.pstyle(ar.name + '-arrow-shape').value]; - var edgeWidth = edge.pstyle('width').pfValue; - if (shape.roughCollide(x, y, arSize, ar.angle, { - x: ar.x, - y: ar.y - }, edgeWidth, edgeThreshold) && shape.collide(x, y, arSize, ar.angle, { - x: ar.x, - y: ar.y - }, edgeWidth, edgeThreshold)) { - addEle(edge); - return true; - } - } - - // for compound graphs, hitting edge may actually want a connected node instead (b/c edge may have greater z-index precedence) - if (hasCompounds && near.length > 0) { - checkNode(src); - checkNode(tgt); - } - } - function preprop(obj, name, pre) { - return getPrefixedProperty(obj, name, pre); - } - function checkLabel(ele, prefix) { - var _p = ele._private; - var th = labelThreshold; - var prefixDash; - if (prefix) { - prefixDash = prefix + '-'; - } else { - prefixDash = ''; - } - ele.boundingBox(); - var bb = _p.labelBounds[prefix || 'main']; - var text = ele.pstyle(prefixDash + 'label').value; - var eventsEnabled = ele.pstyle('text-events').strValue === 'yes'; - if (!eventsEnabled || !text) { - return; - } - var lx = preprop(_p.rscratch, 'labelX', prefix); - var ly = preprop(_p.rscratch, 'labelY', prefix); - var theta = preprop(_p.rscratch, 'labelAngle', prefix); - var ox = ele.pstyle(prefixDash + 'text-margin-x').pfValue; - var oy = ele.pstyle(prefixDash + 'text-margin-y').pfValue; - var lx1 = bb.x1 - th - ox; // (-ox, -oy) as bb already includes margin - var lx2 = bb.x2 + th - ox; // and rotation is about (lx, ly) - var ly1 = bb.y1 - th - oy; - var ly2 = bb.y2 + th - oy; - if (theta) { - var cos = Math.cos(theta); - var sin = Math.sin(theta); - var rotate = function rotate(x, y) { - x = x - lx; - y = y - ly; - return { - x: x * cos - y * sin + lx, - y: x * sin + y * cos + ly - }; - }; - var px1y1 = rotate(lx1, ly1); - var px1y2 = rotate(lx1, ly2); - var px2y1 = rotate(lx2, ly1); - var px2y2 = rotate(lx2, ly2); - var points = [ - // with the margin added after the rotation is applied - px1y1.x + ox, px1y1.y + oy, px2y1.x + ox, px2y1.y + oy, px2y2.x + ox, px2y2.y + oy, px1y2.x + ox, px1y2.y + oy]; - if (pointInsidePolygonPoints(x, y, points)) { - addEle(ele); - return true; - } - } else { - // do a cheaper bb check - if (inBoundingBox(bb, x, y)) { - addEle(ele); - return true; - } - } - } - for (var i = eles.length - 1; i >= 0; i--) { - // reverse order for precedence - var ele = eles[i]; - if (ele.isNode()) { - checkNode(ele) || checkLabel(ele); - } else { - // then edge - checkEdge(ele) || checkLabel(ele) || checkLabel(ele, 'source') || checkLabel(ele, 'target'); - } - } - return near; - }; - - // 'Give me everything from this box' - BRp$e.getAllInBox = function (x1, y1, x2, y2) { - var eles = this.getCachedZSortedEles().interactive; - var box = []; - var x1c = Math.min(x1, x2); - var x2c = Math.max(x1, x2); - var y1c = Math.min(y1, y2); - var y2c = Math.max(y1, y2); - x1 = x1c; - x2 = x2c; - y1 = y1c; - y2 = y2c; - var boxBb = makeBoundingBox({ - x1: x1, - y1: y1, - x2: x2, - y2: y2 - }); - for (var e = 0; e < eles.length; e++) { - var ele = eles[e]; - if (ele.isNode()) { - var node = ele; - var nodeBb = node.boundingBox({ - includeNodes: true, - includeEdges: false, - includeLabels: false - }); - if (boundingBoxesIntersect(boxBb, nodeBb) && !boundingBoxInBoundingBox(nodeBb, boxBb)) { - box.push(node); - } - } else { - var edge = ele; - var _p = edge._private; - var rs = _p.rscratch; - if (rs.startX != null && rs.startY != null && !inBoundingBox(boxBb, rs.startX, rs.startY)) { - continue; - } - if (rs.endX != null && rs.endY != null && !inBoundingBox(boxBb, rs.endX, rs.endY)) { - continue; - } - if (rs.edgeType === 'bezier' || rs.edgeType === 'multibezier' || rs.edgeType === 'self' || rs.edgeType === 'compound' || rs.edgeType === 'segments' || rs.edgeType === 'haystack') { - var pts = _p.rstyle.bezierPts || _p.rstyle.linePts || _p.rstyle.haystackPts; - var allInside = true; - for (var i = 0; i < pts.length; i++) { - if (!pointInBoundingBox(boxBb, pts[i])) { - allInside = false; - break; - } - } - if (allInside) { - box.push(edge); - } - } else if (rs.edgeType === 'haystack' || rs.edgeType === 'straight') { - box.push(edge); - } - } - } - return box; - }; - - var BRp$d = {}; - BRp$d.calculateArrowAngles = function (edge) { - var rs = edge._private.rscratch; - var isHaystack = rs.edgeType === 'haystack'; - var isBezier = rs.edgeType === 'bezier'; - var isMultibezier = rs.edgeType === 'multibezier'; - var isSegments = rs.edgeType === 'segments'; - var isCompound = rs.edgeType === 'compound'; - var isSelf = rs.edgeType === 'self'; - - // Displacement gives direction for arrowhead orientation - var dispX, dispY; - var startX, startY, endX, endY, midX, midY; - if (isHaystack) { - startX = rs.haystackPts[0]; - startY = rs.haystackPts[1]; - endX = rs.haystackPts[2]; - endY = rs.haystackPts[3]; - } else { - startX = rs.arrowStartX; - startY = rs.arrowStartY; - endX = rs.arrowEndX; - endY = rs.arrowEndY; - } - midX = rs.midX; - midY = rs.midY; - - // source - // - - if (isSegments) { - dispX = startX - rs.segpts[0]; - dispY = startY - rs.segpts[1]; - } else if (isMultibezier || isCompound || isSelf || isBezier) { - var pts = rs.allpts; - var bX = qbezierAt(pts[0], pts[2], pts[4], 0.1); - var bY = qbezierAt(pts[1], pts[3], pts[5], 0.1); - dispX = startX - bX; - dispY = startY - bY; - } else { - dispX = startX - midX; - dispY = startY - midY; - } - rs.srcArrowAngle = getAngleFromDisp(dispX, dispY); - - // mid target - // - - var midX = rs.midX; - var midY = rs.midY; - if (isHaystack) { - midX = (startX + endX) / 2; - midY = (startY + endY) / 2; - } - dispX = endX - startX; - dispY = endY - startY; - if (isSegments) { - var pts = rs.allpts; - if (pts.length / 2 % 2 === 0) { - var i2 = pts.length / 2; - var i1 = i2 - 2; - dispX = pts[i2] - pts[i1]; - dispY = pts[i2 + 1] - pts[i1 + 1]; - } else { - var i2 = pts.length / 2 - 1; - var i1 = i2 - 2; - var i3 = i2 + 2; - dispX = pts[i2] - pts[i1]; - dispY = pts[i2 + 1] - pts[i1 + 1]; - } - } else if (isMultibezier || isCompound || isSelf) { - var pts = rs.allpts; - var cpts = rs.ctrlpts; - var bp0x, bp0y; - var bp1x, bp1y; - if (cpts.length / 2 % 2 === 0) { - var p0 = pts.length / 2 - 1; // startpt - var ic = p0 + 2; - var p1 = ic + 2; - bp0x = qbezierAt(pts[p0], pts[ic], pts[p1], 0.0); - bp0y = qbezierAt(pts[p0 + 1], pts[ic + 1], pts[p1 + 1], 0.0); - bp1x = qbezierAt(pts[p0], pts[ic], pts[p1], 0.0001); - bp1y = qbezierAt(pts[p0 + 1], pts[ic + 1], pts[p1 + 1], 0.0001); - } else { - var ic = pts.length / 2 - 1; // ctrpt - var p0 = ic - 2; // startpt - var p1 = ic + 2; // endpt - - bp0x = qbezierAt(pts[p0], pts[ic], pts[p1], 0.4999); - bp0y = qbezierAt(pts[p0 + 1], pts[ic + 1], pts[p1 + 1], 0.4999); - bp1x = qbezierAt(pts[p0], pts[ic], pts[p1], 0.5); - bp1y = qbezierAt(pts[p0 + 1], pts[ic + 1], pts[p1 + 1], 0.5); - } - dispX = bp1x - bp0x; - dispY = bp1y - bp0y; - } - rs.midtgtArrowAngle = getAngleFromDisp(dispX, dispY); - rs.midDispX = dispX; - rs.midDispY = dispY; - - // mid source - // - - dispX *= -1; - dispY *= -1; - if (isSegments) { - var pts = rs.allpts; - if (pts.length / 2 % 2 === 0) ; else { - var i2 = pts.length / 2 - 1; - var i3 = i2 + 2; - dispX = -(pts[i3] - pts[i2]); - dispY = -(pts[i3 + 1] - pts[i2 + 1]); - } - } - rs.midsrcArrowAngle = getAngleFromDisp(dispX, dispY); - - // target - // - - if (isSegments) { - dispX = endX - rs.segpts[rs.segpts.length - 2]; - dispY = endY - rs.segpts[rs.segpts.length - 1]; - } else if (isMultibezier || isCompound || isSelf || isBezier) { - var pts = rs.allpts; - var l = pts.length; - var bX = qbezierAt(pts[l - 6], pts[l - 4], pts[l - 2], 0.9); - var bY = qbezierAt(pts[l - 5], pts[l - 3], pts[l - 1], 0.9); - dispX = endX - bX; - dispY = endY - bY; - } else { - dispX = endX - midX; - dispY = endY - midY; - } - rs.tgtArrowAngle = getAngleFromDisp(dispX, dispY); - }; - BRp$d.getArrowWidth = BRp$d.getArrowHeight = function (edgeWidth, scale) { - var cache = this.arrowWidthCache = this.arrowWidthCache || {}; - var cachedVal = cache[edgeWidth + ', ' + scale]; - if (cachedVal) { - return cachedVal; - } - cachedVal = Math.max(Math.pow(edgeWidth * 13.37, 0.9), 29) * scale; - cache[edgeWidth + ', ' + scale] = cachedVal; - return cachedVal; - }; - - var BRp$c = {}; - BRp$c.findMidptPtsEtc = function (edge, pairInfo) { - var posPts = pairInfo.posPts, - intersectionPts = pairInfo.intersectionPts, - vectorNormInverse = pairInfo.vectorNormInverse; - var midptPts; - - // n.b. assumes all edges in bezier bundle have same endpoints specified - var srcManEndpt = edge.pstyle('source-endpoint'); - var tgtManEndpt = edge.pstyle('target-endpoint'); - var haveManualEndPts = srcManEndpt.units != null && tgtManEndpt.units != null; - var recalcVectorNormInverse = function recalcVectorNormInverse(x1, y1, x2, y2) { - var dy = y2 - y1; - var dx = x2 - x1; - var l = Math.sqrt(dx * dx + dy * dy); - return { - x: -dy / l, - y: dx / l - }; - }; - var edgeDistances = edge.pstyle('edge-distances').value; - switch (edgeDistances) { - case 'node-position': - midptPts = posPts; - break; - case 'intersection': - midptPts = intersectionPts; - break; - case 'endpoints': - { - if (haveManualEndPts) { - var _this$manualEndptToPx = this.manualEndptToPx(edge.source()[0], srcManEndpt), - _this$manualEndptToPx2 = _slicedToArray(_this$manualEndptToPx, 2), - x1 = _this$manualEndptToPx2[0], - y1 = _this$manualEndptToPx2[1]; - var _this$manualEndptToPx3 = this.manualEndptToPx(edge.target()[0], tgtManEndpt), - _this$manualEndptToPx4 = _slicedToArray(_this$manualEndptToPx3, 2), - x2 = _this$manualEndptToPx4[0], - y2 = _this$manualEndptToPx4[1]; - var endPts = { - x1: x1, - y1: y1, - x2: x2, - y2: y2 - }; - vectorNormInverse = recalcVectorNormInverse(x1, y1, x2, y2); - midptPts = endPts; - } else { - warn("Edge ".concat(edge.id(), " has edge-distances:endpoints specified without manual endpoints specified via source-endpoint and target-endpoint. Falling back on edge-distances:intersection (default).")); - midptPts = intersectionPts; // back to default - } - - break; - } - } - return { - midptPts: midptPts, - vectorNormInverse: vectorNormInverse - }; - }; - BRp$c.findHaystackPoints = function (edges) { - for (var i = 0; i < edges.length; i++) { - var edge = edges[i]; - var _p = edge._private; - var rs = _p.rscratch; - if (!rs.haystack) { - var angle = Math.random() * 2 * Math.PI; - rs.source = { - x: Math.cos(angle), - y: Math.sin(angle) - }; - angle = Math.random() * 2 * Math.PI; - rs.target = { - x: Math.cos(angle), - y: Math.sin(angle) - }; - } - var src = _p.source; - var tgt = _p.target; - var srcPos = src.position(); - var tgtPos = tgt.position(); - var srcW = src.width(); - var tgtW = tgt.width(); - var srcH = src.height(); - var tgtH = tgt.height(); - var radius = edge.pstyle('haystack-radius').value; - var halfRadius = radius / 2; // b/c have to half width/height - - rs.haystackPts = rs.allpts = [rs.source.x * srcW * halfRadius + srcPos.x, rs.source.y * srcH * halfRadius + srcPos.y, rs.target.x * tgtW * halfRadius + tgtPos.x, rs.target.y * tgtH * halfRadius + tgtPos.y]; - rs.midX = (rs.allpts[0] + rs.allpts[2]) / 2; - rs.midY = (rs.allpts[1] + rs.allpts[3]) / 2; - - // always override as haystack in case set to different type previously - rs.edgeType = 'haystack'; - rs.haystack = true; - this.storeEdgeProjections(edge); - this.calculateArrowAngles(edge); - this.recalculateEdgeLabelProjections(edge); - this.calculateLabelAngles(edge); - } - }; - BRp$c.findSegmentsPoints = function (edge, pairInfo) { - // Segments (multiple straight lines) - - var rs = edge._private.rscratch; - var segmentWs = edge.pstyle('segment-weights'); - var segmentDs = edge.pstyle('segment-distances'); - var segmentsN = Math.min(segmentWs.pfValue.length, segmentDs.pfValue.length); - rs.edgeType = 'segments'; - rs.segpts = []; - for (var s = 0; s < segmentsN; s++) { - var w = segmentWs.pfValue[s]; - var d = segmentDs.pfValue[s]; - var w1 = 1 - w; - var w2 = w; - var _this$findMidptPtsEtc = this.findMidptPtsEtc(edge, pairInfo), - midptPts = _this$findMidptPtsEtc.midptPts, - vectorNormInverse = _this$findMidptPtsEtc.vectorNormInverse; - var adjustedMidpt = { - x: midptPts.x1 * w1 + midptPts.x2 * w2, - y: midptPts.y1 * w1 + midptPts.y2 * w2 - }; - rs.segpts.push(adjustedMidpt.x + vectorNormInverse.x * d, adjustedMidpt.y + vectorNormInverse.y * d); - } - }; - BRp$c.findLoopPoints = function (edge, pairInfo, i, edgeIsUnbundled) { - // Self-edge - - var rs = edge._private.rscratch; - var dirCounts = pairInfo.dirCounts, - srcPos = pairInfo.srcPos; - var ctrlptDists = edge.pstyle('control-point-distances'); - var ctrlptDist = ctrlptDists ? ctrlptDists.pfValue[0] : undefined; - var loopDir = edge.pstyle('loop-direction').pfValue; - var loopSwp = edge.pstyle('loop-sweep').pfValue; - var stepSize = edge.pstyle('control-point-step-size').pfValue; - rs.edgeType = 'self'; - var j = i; - var loopDist = stepSize; - if (edgeIsUnbundled) { - j = 0; - loopDist = ctrlptDist; - } - var loopAngle = loopDir - Math.PI / 2; - var outAngle = loopAngle - loopSwp / 2; - var inAngle = loopAngle + loopSwp / 2; - - // increase by step size for overlapping loops, keyed on direction and sweep values - var dc = String(loopDir + '_' + loopSwp); - j = dirCounts[dc] === undefined ? dirCounts[dc] = 0 : ++dirCounts[dc]; - rs.ctrlpts = [srcPos.x + Math.cos(outAngle) * 1.4 * loopDist * (j / 3 + 1), srcPos.y + Math.sin(outAngle) * 1.4 * loopDist * (j / 3 + 1), srcPos.x + Math.cos(inAngle) * 1.4 * loopDist * (j / 3 + 1), srcPos.y + Math.sin(inAngle) * 1.4 * loopDist * (j / 3 + 1)]; - }; - BRp$c.findCompoundLoopPoints = function (edge, pairInfo, i, edgeIsUnbundled) { - // Compound edge - - var rs = edge._private.rscratch; - rs.edgeType = 'compound'; - var srcPos = pairInfo.srcPos, - tgtPos = pairInfo.tgtPos, - srcW = pairInfo.srcW, - srcH = pairInfo.srcH, - tgtW = pairInfo.tgtW, - tgtH = pairInfo.tgtH; - var stepSize = edge.pstyle('control-point-step-size').pfValue; - var ctrlptDists = edge.pstyle('control-point-distances'); - var ctrlptDist = ctrlptDists ? ctrlptDists.pfValue[0] : undefined; - var j = i; - var loopDist = stepSize; - if (edgeIsUnbundled) { - j = 0; - loopDist = ctrlptDist; - } - var loopW = 50; - var loopaPos = { - x: srcPos.x - srcW / 2, - y: srcPos.y - srcH / 2 - }; - var loopbPos = { - x: tgtPos.x - tgtW / 2, - y: tgtPos.y - tgtH / 2 - }; - var loopPos = { - x: Math.min(loopaPos.x, loopbPos.x), - y: Math.min(loopaPos.y, loopbPos.y) - }; - - // avoids cases with impossible beziers - var minCompoundStretch = 0.5; - var compoundStretchA = Math.max(minCompoundStretch, Math.log(srcW * 0.01)); - var compoundStretchB = Math.max(minCompoundStretch, Math.log(tgtW * 0.01)); - rs.ctrlpts = [loopPos.x, loopPos.y - (1 + Math.pow(loopW, 1.12) / 100) * loopDist * (j / 3 + 1) * compoundStretchA, loopPos.x - (1 + Math.pow(loopW, 1.12) / 100) * loopDist * (j / 3 + 1) * compoundStretchB, loopPos.y]; - }; - BRp$c.findStraightEdgePoints = function (edge) { - // Straight edge within bundle - - edge._private.rscratch.edgeType = 'straight'; - }; - BRp$c.findBezierPoints = function (edge, pairInfo, i, edgeIsUnbundled, edgeIsSwapped) { - var rs = edge._private.rscratch; - var stepSize = edge.pstyle('control-point-step-size').pfValue; - var ctrlptDists = edge.pstyle('control-point-distances'); - var ctrlptWs = edge.pstyle('control-point-weights'); - var bezierN = ctrlptDists && ctrlptWs ? Math.min(ctrlptDists.value.length, ctrlptWs.value.length) : 1; - var ctrlptDist = ctrlptDists ? ctrlptDists.pfValue[0] : undefined; - var ctrlptWeight = ctrlptWs.value[0]; - - // (Multi)bezier - - var multi = edgeIsUnbundled; - rs.edgeType = multi ? 'multibezier' : 'bezier'; - rs.ctrlpts = []; - for (var b = 0; b < bezierN; b++) { - var normctrlptDist = (0.5 - pairInfo.eles.length / 2 + i) * stepSize * (edgeIsSwapped ? -1 : 1); - var manctrlptDist = void 0; - var sign = signum(normctrlptDist); - if (multi) { - ctrlptDist = ctrlptDists ? ctrlptDists.pfValue[b] : stepSize; // fall back on step size - ctrlptWeight = ctrlptWs.value[b]; - } - if (edgeIsUnbundled) { - // multi or single unbundled - manctrlptDist = ctrlptDist; - } else { - manctrlptDist = ctrlptDist !== undefined ? sign * ctrlptDist : undefined; - } - var distanceFromMidpoint = manctrlptDist !== undefined ? manctrlptDist : normctrlptDist; - var w1 = 1 - ctrlptWeight; - var w2 = ctrlptWeight; - var _this$findMidptPtsEtc2 = this.findMidptPtsEtc(edge, pairInfo), - midptPts = _this$findMidptPtsEtc2.midptPts, - vectorNormInverse = _this$findMidptPtsEtc2.vectorNormInverse; - var adjustedMidpt = { - x: midptPts.x1 * w1 + midptPts.x2 * w2, - y: midptPts.y1 * w1 + midptPts.y2 * w2 - }; - rs.ctrlpts.push(adjustedMidpt.x + vectorNormInverse.x * distanceFromMidpoint, adjustedMidpt.y + vectorNormInverse.y * distanceFromMidpoint); - } - }; - BRp$c.findTaxiPoints = function (edge, pairInfo) { - // Taxicab geometry with two turns maximum - - var rs = edge._private.rscratch; - rs.edgeType = 'segments'; - var VERTICAL = 'vertical'; - var HORIZONTAL = 'horizontal'; - var LEFTWARD = 'leftward'; - var RIGHTWARD = 'rightward'; - var DOWNWARD = 'downward'; - var UPWARD = 'upward'; - var AUTO = 'auto'; - var posPts = pairInfo.posPts, - srcW = pairInfo.srcW, - srcH = pairInfo.srcH, - tgtW = pairInfo.tgtW, - tgtH = pairInfo.tgtH; - var edgeDistances = edge.pstyle('edge-distances').value; - var dIncludesNodeBody = edgeDistances !== 'node-position'; - var taxiDir = edge.pstyle('taxi-direction').value; - var rawTaxiDir = taxiDir; // unprocessed value - var taxiTurn = edge.pstyle('taxi-turn'); - var turnIsPercent = taxiTurn.units === '%'; - var taxiTurnPfVal = taxiTurn.pfValue; - var turnIsNegative = taxiTurnPfVal < 0; // i.e. from target side - var minD = edge.pstyle('taxi-turn-min-distance').pfValue; - var dw = dIncludesNodeBody ? (srcW + tgtW) / 2 : 0; - var dh = dIncludesNodeBody ? (srcH + tgtH) / 2 : 0; - var pdx = posPts.x2 - posPts.x1; - var pdy = posPts.y2 - posPts.y1; - - // take away the effective w/h from the magnitude of the delta value - var subDWH = function subDWH(dxy, dwh) { - if (dxy > 0) { - return Math.max(dxy - dwh, 0); - } else { - return Math.min(dxy + dwh, 0); - } - }; - var dx = subDWH(pdx, dw); - var dy = subDWH(pdy, dh); - var isExplicitDir = false; - if (rawTaxiDir === AUTO) { - taxiDir = Math.abs(dx) > Math.abs(dy) ? HORIZONTAL : VERTICAL; - } else if (rawTaxiDir === UPWARD || rawTaxiDir === DOWNWARD) { - taxiDir = VERTICAL; - isExplicitDir = true; - } else if (rawTaxiDir === LEFTWARD || rawTaxiDir === RIGHTWARD) { - taxiDir = HORIZONTAL; - isExplicitDir = true; - } - var isVert = taxiDir === VERTICAL; - var l = isVert ? dy : dx; - var pl = isVert ? pdy : pdx; - var sgnL = signum(pl); - var forcedDir = false; - if (!(isExplicitDir && (turnIsPercent || turnIsNegative)) // forcing in this case would cause weird growing in the opposite direction - && (rawTaxiDir === DOWNWARD && pl < 0 || rawTaxiDir === UPWARD && pl > 0 || rawTaxiDir === LEFTWARD && pl > 0 || rawTaxiDir === RIGHTWARD && pl < 0)) { - sgnL *= -1; - l = sgnL * Math.abs(l); - forcedDir = true; - } - var d; - if (turnIsPercent) { - var p = taxiTurnPfVal < 0 ? 1 + taxiTurnPfVal : taxiTurnPfVal; - d = p * l; - } else { - var k = taxiTurnPfVal < 0 ? l : 0; - d = k + taxiTurnPfVal * sgnL; - } - var getIsTooClose = function getIsTooClose(d) { - return Math.abs(d) < minD || Math.abs(d) >= Math.abs(l); - }; - var isTooCloseSrc = getIsTooClose(d); - var isTooCloseTgt = getIsTooClose(Math.abs(l) - Math.abs(d)); - var isTooClose = isTooCloseSrc || isTooCloseTgt; - if (isTooClose && !forcedDir) { - // non-ideal routing - if (isVert) { - // vertical fallbacks - var lShapeInsideSrc = Math.abs(pl) <= srcH / 2; - var lShapeInsideTgt = Math.abs(pdx) <= tgtW / 2; - if (lShapeInsideSrc) { - // horizontal Z-shape (direction not respected) - var x = (posPts.x1 + posPts.x2) / 2; - var y1 = posPts.y1, - y2 = posPts.y2; - rs.segpts = [x, y1, x, y2]; - } else if (lShapeInsideTgt) { - // vertical Z-shape (distance not respected) - var y = (posPts.y1 + posPts.y2) / 2; - var x1 = posPts.x1, - x2 = posPts.x2; - rs.segpts = [x1, y, x2, y]; - } else { - // L-shape fallback (turn distance not respected, but works well with tree siblings) - rs.segpts = [posPts.x1, posPts.y2]; - } - } else { - // horizontal fallbacks - var _lShapeInsideSrc = Math.abs(pl) <= srcW / 2; - var _lShapeInsideTgt = Math.abs(pdy) <= tgtH / 2; - if (_lShapeInsideSrc) { - // vertical Z-shape (direction not respected) - var _y = (posPts.y1 + posPts.y2) / 2; - var _x = posPts.x1, - _x2 = posPts.x2; - rs.segpts = [_x, _y, _x2, _y]; - } else if (_lShapeInsideTgt) { - // horizontal Z-shape (turn distance not respected) - var _x3 = (posPts.x1 + posPts.x2) / 2; - var _y2 = posPts.y1, - _y3 = posPts.y2; - rs.segpts = [_x3, _y2, _x3, _y3]; - } else { - // L-shape (turn distance not respected, but works well for tree siblings) - rs.segpts = [posPts.x2, posPts.y1]; - } - } - } else { - // ideal routing - if (isVert) { - var _y4 = posPts.y1 + d + (dIncludesNodeBody ? srcH / 2 * sgnL : 0); - var _x4 = posPts.x1, - _x5 = posPts.x2; - rs.segpts = [_x4, _y4, _x5, _y4]; - } else { - // horizontal - var _x6 = posPts.x1 + d + (dIncludesNodeBody ? srcW / 2 * sgnL : 0); - var _y5 = posPts.y1, - _y6 = posPts.y2; - rs.segpts = [_x6, _y5, _x6, _y6]; - } - } - }; - BRp$c.tryToCorrectInvalidPoints = function (edge, pairInfo) { - var rs = edge._private.rscratch; - - // can only correct beziers for now... - if (rs.edgeType === 'bezier') { - var srcPos = pairInfo.srcPos, - tgtPos = pairInfo.tgtPos, - srcW = pairInfo.srcW, - srcH = pairInfo.srcH, - tgtW = pairInfo.tgtW, - tgtH = pairInfo.tgtH, - srcShape = pairInfo.srcShape, - tgtShape = pairInfo.tgtShape; - var badStart = !number$1(rs.startX) || !number$1(rs.startY); - var badAStart = !number$1(rs.arrowStartX) || !number$1(rs.arrowStartY); - var badEnd = !number$1(rs.endX) || !number$1(rs.endY); - var badAEnd = !number$1(rs.arrowEndX) || !number$1(rs.arrowEndY); - var minCpADistFactor = 3; - var arrowW = this.getArrowWidth(edge.pstyle('width').pfValue, edge.pstyle('arrow-scale').value) * this.arrowShapeWidth; - var minCpADist = minCpADistFactor * arrowW; - var startACpDist = dist({ - x: rs.ctrlpts[0], - y: rs.ctrlpts[1] - }, { - x: rs.startX, - y: rs.startY - }); - var closeStartACp = startACpDist < minCpADist; - var endACpDist = dist({ - x: rs.ctrlpts[0], - y: rs.ctrlpts[1] - }, { - x: rs.endX, - y: rs.endY - }); - var closeEndACp = endACpDist < minCpADist; - var overlapping = false; - if (badStart || badAStart || closeStartACp) { - overlapping = true; - - // project control point along line from src centre to outside the src shape - // (otherwise intersection will yield nothing) - var cpD = { - // delta - x: rs.ctrlpts[0] - srcPos.x, - y: rs.ctrlpts[1] - srcPos.y - }; - var cpL = Math.sqrt(cpD.x * cpD.x + cpD.y * cpD.y); // length of line - var cpM = { - // normalised delta - x: cpD.x / cpL, - y: cpD.y / cpL - }; - var radius = Math.max(srcW, srcH); - var cpProj = { - // *2 radius guarantees outside shape - x: rs.ctrlpts[0] + cpM.x * 2 * radius, - y: rs.ctrlpts[1] + cpM.y * 2 * radius - }; - var srcCtrlPtIntn = srcShape.intersectLine(srcPos.x, srcPos.y, srcW, srcH, cpProj.x, cpProj.y, 0); - if (closeStartACp) { - rs.ctrlpts[0] = rs.ctrlpts[0] + cpM.x * (minCpADist - startACpDist); - rs.ctrlpts[1] = rs.ctrlpts[1] + cpM.y * (minCpADist - startACpDist); - } else { - rs.ctrlpts[0] = srcCtrlPtIntn[0] + cpM.x * minCpADist; - rs.ctrlpts[1] = srcCtrlPtIntn[1] + cpM.y * minCpADist; - } - } - if (badEnd || badAEnd || closeEndACp) { - overlapping = true; - - // project control point along line from tgt centre to outside the tgt shape - // (otherwise intersection will yield nothing) - var _cpD = { - // delta - x: rs.ctrlpts[0] - tgtPos.x, - y: rs.ctrlpts[1] - tgtPos.y - }; - var _cpL = Math.sqrt(_cpD.x * _cpD.x + _cpD.y * _cpD.y); // length of line - var _cpM = { - // normalised delta - x: _cpD.x / _cpL, - y: _cpD.y / _cpL - }; - var _radius = Math.max(srcW, srcH); - var _cpProj = { - // *2 radius guarantees outside shape - x: rs.ctrlpts[0] + _cpM.x * 2 * _radius, - y: rs.ctrlpts[1] + _cpM.y * 2 * _radius - }; - var tgtCtrlPtIntn = tgtShape.intersectLine(tgtPos.x, tgtPos.y, tgtW, tgtH, _cpProj.x, _cpProj.y, 0); - if (closeEndACp) { - rs.ctrlpts[0] = rs.ctrlpts[0] + _cpM.x * (minCpADist - endACpDist); - rs.ctrlpts[1] = rs.ctrlpts[1] + _cpM.y * (minCpADist - endACpDist); - } else { - rs.ctrlpts[0] = tgtCtrlPtIntn[0] + _cpM.x * minCpADist; - rs.ctrlpts[1] = tgtCtrlPtIntn[1] + _cpM.y * minCpADist; - } - } - if (overlapping) { - // recalc endpts - this.findEndpoints(edge); - } - } - }; - BRp$c.storeAllpts = function (edge) { - var rs = edge._private.rscratch; - if (rs.edgeType === 'multibezier' || rs.edgeType === 'bezier' || rs.edgeType === 'self' || rs.edgeType === 'compound') { - rs.allpts = []; - rs.allpts.push(rs.startX, rs.startY); - for (var b = 0; b + 1 < rs.ctrlpts.length; b += 2) { - // ctrl pt itself - rs.allpts.push(rs.ctrlpts[b], rs.ctrlpts[b + 1]); - - // the midpt between ctrlpts as intermediate destination pts - if (b + 3 < rs.ctrlpts.length) { - rs.allpts.push((rs.ctrlpts[b] + rs.ctrlpts[b + 2]) / 2, (rs.ctrlpts[b + 1] + rs.ctrlpts[b + 3]) / 2); - } - } - rs.allpts.push(rs.endX, rs.endY); - var m, mt; - if (rs.ctrlpts.length / 2 % 2 === 0) { - m = rs.allpts.length / 2 - 1; - rs.midX = rs.allpts[m]; - rs.midY = rs.allpts[m + 1]; - } else { - m = rs.allpts.length / 2 - 3; - mt = 0.5; - rs.midX = qbezierAt(rs.allpts[m], rs.allpts[m + 2], rs.allpts[m + 4], mt); - rs.midY = qbezierAt(rs.allpts[m + 1], rs.allpts[m + 3], rs.allpts[m + 5], mt); - } - } else if (rs.edgeType === 'straight') { - // need to calc these after endpts - rs.allpts = [rs.startX, rs.startY, rs.endX, rs.endY]; - - // default midpt for labels etc - rs.midX = (rs.startX + rs.endX + rs.arrowStartX + rs.arrowEndX) / 4; - rs.midY = (rs.startY + rs.endY + rs.arrowStartY + rs.arrowEndY) / 4; - } else if (rs.edgeType === 'segments') { - rs.allpts = []; - rs.allpts.push(rs.startX, rs.startY); - rs.allpts.push.apply(rs.allpts, rs.segpts); - rs.allpts.push(rs.endX, rs.endY); - if (rs.segpts.length % 4 === 0) { - var i2 = rs.segpts.length / 2; - var i1 = i2 - 2; - rs.midX = (rs.segpts[i1] + rs.segpts[i2]) / 2; - rs.midY = (rs.segpts[i1 + 1] + rs.segpts[i2 + 1]) / 2; - } else { - var _i = rs.segpts.length / 2 - 1; - rs.midX = rs.segpts[_i]; - rs.midY = rs.segpts[_i + 1]; - } - } - }; - BRp$c.checkForInvalidEdgeWarning = function (edge) { - var rs = edge[0]._private.rscratch; - if (rs.nodesOverlap || number$1(rs.startX) && number$1(rs.startY) && number$1(rs.endX) && number$1(rs.endY)) { - rs.loggedErr = false; - } else { - if (!rs.loggedErr) { - rs.loggedErr = true; - warn('Edge `' + edge.id() + '` has invalid endpoints and so it is impossible to draw. Adjust your edge style (e.g. control points) accordingly or use an alternative edge type. This is expected behaviour when the source node and the target node overlap.'); - } - } - }; - BRp$c.findEdgeControlPoints = function (edges) { - var _this = this; - if (!edges || edges.length === 0) { - return; - } - var r = this; - var cy = r.cy; - var hasCompounds = cy.hasCompoundNodes(); - var hashTable = { - map: new Map$2(), - get: function get(pairId) { - var map2 = this.map.get(pairId[0]); - if (map2 != null) { - return map2.get(pairId[1]); - } else { - return null; - } - }, - set: function set(pairId, val) { - var map2 = this.map.get(pairId[0]); - if (map2 == null) { - map2 = new Map$2(); - this.map.set(pairId[0], map2); - } - map2.set(pairId[1], val); - } - }; - var pairIds = []; - var haystackEdges = []; - - // create a table of edge (src, tgt) => list of edges between them - for (var i = 0; i < edges.length; i++) { - var edge = edges[i]; - var _p = edge._private; - var curveStyle = edge.pstyle('curve-style').value; - - // ignore edges who are not to be displayed - // they shouldn't take up space - if (edge.removed() || !edge.takesUpSpace()) { - continue; - } - if (curveStyle === 'haystack') { - haystackEdges.push(edge); - continue; - } - var edgeIsUnbundled = curveStyle === 'unbundled-bezier' || curveStyle === 'segments' || curveStyle === 'straight' || curveStyle === 'straight-triangle' || curveStyle === 'taxi'; - var edgeIsBezier = curveStyle === 'unbundled-bezier' || curveStyle === 'bezier'; - var src = _p.source; - var tgt = _p.target; - var srcIndex = src.poolIndex(); - var tgtIndex = tgt.poolIndex(); - var pairId = [srcIndex, tgtIndex].sort(); - var tableEntry = hashTable.get(pairId); - if (tableEntry == null) { - tableEntry = { - eles: [] - }; - hashTable.set(pairId, tableEntry); - pairIds.push(pairId); - } - tableEntry.eles.push(edge); - if (edgeIsUnbundled) { - tableEntry.hasUnbundled = true; - } - if (edgeIsBezier) { - tableEntry.hasBezier = true; - } - } - - // for each pair (src, tgt), create the ctrl pts - // Nested for loop is OK; total number of iterations for both loops = edgeCount - var _loop = function _loop(p) { - var pairId = pairIds[p]; - var pairInfo = hashTable.get(pairId); - var swappedpairInfo = void 0; - if (!pairInfo.hasUnbundled) { - var pllEdges = pairInfo.eles[0].parallelEdges().filter(function (e) { - return e.isBundledBezier(); - }); - clearArray(pairInfo.eles); - pllEdges.forEach(function (edge) { - return pairInfo.eles.push(edge); - }); - - // for each pair id, the edges should be sorted by index - pairInfo.eles.sort(function (edge1, edge2) { - return edge1.poolIndex() - edge2.poolIndex(); - }); - } - var firstEdge = pairInfo.eles[0]; - var src = firstEdge.source(); - var tgt = firstEdge.target(); - - // make sure src/tgt distinction is consistent w.r.t. pairId - if (src.poolIndex() > tgt.poolIndex()) { - var temp = src; - src = tgt; - tgt = temp; - } - var srcPos = pairInfo.srcPos = src.position(); - var tgtPos = pairInfo.tgtPos = tgt.position(); - var srcW = pairInfo.srcW = src.outerWidth(); - var srcH = pairInfo.srcH = src.outerHeight(); - var tgtW = pairInfo.tgtW = tgt.outerWidth(); - var tgtH = pairInfo.tgtH = tgt.outerHeight(); - var srcShape = pairInfo.srcShape = r.nodeShapes[_this.getNodeShape(src)]; - var tgtShape = pairInfo.tgtShape = r.nodeShapes[_this.getNodeShape(tgt)]; - pairInfo.dirCounts = { - 'north': 0, - 'west': 0, - 'south': 0, - 'east': 0, - 'northwest': 0, - 'southwest': 0, - 'northeast': 0, - 'southeast': 0 - }; - for (var _i2 = 0; _i2 < pairInfo.eles.length; _i2++) { - var _edge = pairInfo.eles[_i2]; - var rs = _edge[0]._private.rscratch; - var _curveStyle = _edge.pstyle('curve-style').value; - var _edgeIsUnbundled = _curveStyle === 'unbundled-bezier' || _curveStyle === 'segments' || _curveStyle === 'taxi'; - - // whether the normalised pair order is the reverse of the edge's src-tgt order - var edgeIsSwapped = !src.same(_edge.source()); - if (!pairInfo.calculatedIntersection && src !== tgt && (pairInfo.hasBezier || pairInfo.hasUnbundled)) { - pairInfo.calculatedIntersection = true; - - // pt outside src shape to calc distance/displacement from src to tgt - var srcOutside = srcShape.intersectLine(srcPos.x, srcPos.y, srcW, srcH, tgtPos.x, tgtPos.y, 0); - var srcIntn = pairInfo.srcIntn = srcOutside; - - // pt outside tgt shape to calc distance/displacement from src to tgt - var tgtOutside = tgtShape.intersectLine(tgtPos.x, tgtPos.y, tgtW, tgtH, srcPos.x, srcPos.y, 0); - var tgtIntn = pairInfo.tgtIntn = tgtOutside; - var intersectionPts = pairInfo.intersectionPts = { - x1: srcOutside[0], - x2: tgtOutside[0], - y1: srcOutside[1], - y2: tgtOutside[1] - }; - var posPts = pairInfo.posPts = { - x1: srcPos.x, - x2: tgtPos.x, - y1: srcPos.y, - y2: tgtPos.y - }; - var dy = tgtOutside[1] - srcOutside[1]; - var dx = tgtOutside[0] - srcOutside[0]; - var l = Math.sqrt(dx * dx + dy * dy); - var vector = pairInfo.vector = { - x: dx, - y: dy - }; - var vectorNorm = pairInfo.vectorNorm = { - x: vector.x / l, - y: vector.y / l - }; - var vectorNormInverse = { - x: -vectorNorm.y, - y: vectorNorm.x - }; - - // if node shapes overlap, then no ctrl pts to draw - pairInfo.nodesOverlap = !number$1(l) || tgtShape.checkPoint(srcOutside[0], srcOutside[1], 0, tgtW, tgtH, tgtPos.x, tgtPos.y) || srcShape.checkPoint(tgtOutside[0], tgtOutside[1], 0, srcW, srcH, srcPos.x, srcPos.y); - pairInfo.vectorNormInverse = vectorNormInverse; - swappedpairInfo = { - nodesOverlap: pairInfo.nodesOverlap, - dirCounts: pairInfo.dirCounts, - calculatedIntersection: true, - hasBezier: pairInfo.hasBezier, - hasUnbundled: pairInfo.hasUnbundled, - eles: pairInfo.eles, - srcPos: tgtPos, - tgtPos: srcPos, - srcW: tgtW, - srcH: tgtH, - tgtW: srcW, - tgtH: srcH, - srcIntn: tgtIntn, - tgtIntn: srcIntn, - srcShape: tgtShape, - tgtShape: srcShape, - posPts: { - x1: posPts.x2, - y1: posPts.y2, - x2: posPts.x1, - y2: posPts.y1 - }, - intersectionPts: { - x1: intersectionPts.x2, - y1: intersectionPts.y2, - x2: intersectionPts.x1, - y2: intersectionPts.y1 - }, - vector: { - x: -vector.x, - y: -vector.y - }, - vectorNorm: { - x: -vectorNorm.x, - y: -vectorNorm.y - }, - vectorNormInverse: { - x: -vectorNormInverse.x, - y: -vectorNormInverse.y - } - }; - } - var passedPairInfo = edgeIsSwapped ? swappedpairInfo : pairInfo; - rs.nodesOverlap = passedPairInfo.nodesOverlap; - rs.srcIntn = passedPairInfo.srcIntn; - rs.tgtIntn = passedPairInfo.tgtIntn; - if (hasCompounds && (src.isParent() || src.isChild() || tgt.isParent() || tgt.isChild()) && (src.parents().anySame(tgt) || tgt.parents().anySame(src) || src.same(tgt) && src.isParent())) { - _this.findCompoundLoopPoints(_edge, passedPairInfo, _i2, _edgeIsUnbundled); - } else if (src === tgt) { - _this.findLoopPoints(_edge, passedPairInfo, _i2, _edgeIsUnbundled); - } else if (_curveStyle === 'segments') { - _this.findSegmentsPoints(_edge, passedPairInfo); - } else if (_curveStyle === 'taxi') { - _this.findTaxiPoints(_edge, passedPairInfo); - } else if (_curveStyle === 'straight' || !_edgeIsUnbundled && pairInfo.eles.length % 2 === 1 && _i2 === Math.floor(pairInfo.eles.length / 2)) { - _this.findStraightEdgePoints(_edge); - } else { - _this.findBezierPoints(_edge, passedPairInfo, _i2, _edgeIsUnbundled, edgeIsSwapped); - } - _this.findEndpoints(_edge); - _this.tryToCorrectInvalidPoints(_edge, passedPairInfo); - _this.checkForInvalidEdgeWarning(_edge); - _this.storeAllpts(_edge); - _this.storeEdgeProjections(_edge); - _this.calculateArrowAngles(_edge); - _this.recalculateEdgeLabelProjections(_edge); - _this.calculateLabelAngles(_edge); - } // for pair edges - }; - for (var p = 0; p < pairIds.length; p++) { - _loop(p); - } // for pair ids - - // haystacks avoid the expense of pairInfo stuff (intersections etc.) - this.findHaystackPoints(haystackEdges); - }; - function getPts(pts) { - var retPts = []; - if (pts == null) { - return; - } - for (var i = 0; i < pts.length; i += 2) { - var x = pts[i]; - var y = pts[i + 1]; - retPts.push({ - x: x, - y: y - }); - } - return retPts; - } - BRp$c.getSegmentPoints = function (edge) { - var rs = edge[0]._private.rscratch; - var type = rs.edgeType; - if (type === 'segments') { - this.recalculateRenderedStyle(edge); - return getPts(rs.segpts); - } - }; - BRp$c.getControlPoints = function (edge) { - var rs = edge[0]._private.rscratch; - var type = rs.edgeType; - if (type === 'bezier' || type === 'multibezier' || type === 'self' || type === 'compound') { - this.recalculateRenderedStyle(edge); - return getPts(rs.ctrlpts); - } - }; - BRp$c.getEdgeMidpoint = function (edge) { - var rs = edge[0]._private.rscratch; - this.recalculateRenderedStyle(edge); - return { - x: rs.midX, - y: rs.midY - }; - }; - - var BRp$b = {}; - BRp$b.manualEndptToPx = function (node, prop) { - var r = this; - var npos = node.position(); - var w = node.outerWidth(); - var h = node.outerHeight(); - if (prop.value.length === 2) { - var p = [prop.pfValue[0], prop.pfValue[1]]; - if (prop.units[0] === '%') { - p[0] = p[0] * w; - } - if (prop.units[1] === '%') { - p[1] = p[1] * h; - } - p[0] += npos.x; - p[1] += npos.y; - return p; - } else { - var angle = prop.pfValue[0]; - angle = -Math.PI / 2 + angle; // start at 12 o'clock - - var l = 2 * Math.max(w, h); - var _p = [npos.x + Math.cos(angle) * l, npos.y + Math.sin(angle) * l]; - return r.nodeShapes[this.getNodeShape(node)].intersectLine(npos.x, npos.y, w, h, _p[0], _p[1], 0); - } - }; - BRp$b.findEndpoints = function (edge) { - var r = this; - var intersect; - var source = edge.source()[0]; - var target = edge.target()[0]; - var srcPos = source.position(); - var tgtPos = target.position(); - var tgtArShape = edge.pstyle('target-arrow-shape').value; - var srcArShape = edge.pstyle('source-arrow-shape').value; - var tgtDist = edge.pstyle('target-distance-from-node').pfValue; - var srcDist = edge.pstyle('source-distance-from-node').pfValue; - var curveStyle = edge.pstyle('curve-style').value; - var rs = edge._private.rscratch; - var et = rs.edgeType; - var taxi = curveStyle === 'taxi'; - var self = et === 'self' || et === 'compound'; - var bezier = et === 'bezier' || et === 'multibezier' || self; - var multi = et !== 'bezier'; - var lines = et === 'straight' || et === 'segments'; - var segments = et === 'segments'; - var hasEndpts = bezier || multi || lines; - var overrideEndpts = self || taxi; - var srcManEndpt = edge.pstyle('source-endpoint'); - var srcManEndptVal = overrideEndpts ? 'outside-to-node' : srcManEndpt.value; - var tgtManEndpt = edge.pstyle('target-endpoint'); - var tgtManEndptVal = overrideEndpts ? 'outside-to-node' : tgtManEndpt.value; - rs.srcManEndpt = srcManEndpt; - rs.tgtManEndpt = tgtManEndpt; - var p1; // last known point of edge on target side - var p2; // last known point of edge on source side - - var p1_i; // point to intersect with target shape - var p2_i; // point to intersect with source shape - - if (bezier) { - var cpStart = [rs.ctrlpts[0], rs.ctrlpts[1]]; - var cpEnd = multi ? [rs.ctrlpts[rs.ctrlpts.length - 2], rs.ctrlpts[rs.ctrlpts.length - 1]] : cpStart; - p1 = cpEnd; - p2 = cpStart; - } else if (lines) { - var srcArrowFromPt = !segments ? [tgtPos.x, tgtPos.y] : rs.segpts.slice(0, 2); - var tgtArrowFromPt = !segments ? [srcPos.x, srcPos.y] : rs.segpts.slice(rs.segpts.length - 2); - p1 = tgtArrowFromPt; - p2 = srcArrowFromPt; - } - if (tgtManEndptVal === 'inside-to-node') { - intersect = [tgtPos.x, tgtPos.y]; - } else if (tgtManEndpt.units) { - intersect = this.manualEndptToPx(target, tgtManEndpt); - } else if (tgtManEndptVal === 'outside-to-line') { - intersect = rs.tgtIntn; // use cached value from ctrlpt calc - } else { - if (tgtManEndptVal === 'outside-to-node' || tgtManEndptVal === 'outside-to-node-or-label') { - p1_i = p1; - } else if (tgtManEndptVal === 'outside-to-line' || tgtManEndptVal === 'outside-to-line-or-label') { - p1_i = [srcPos.x, srcPos.y]; - } - intersect = r.nodeShapes[this.getNodeShape(target)].intersectLine(tgtPos.x, tgtPos.y, target.outerWidth(), target.outerHeight(), p1_i[0], p1_i[1], 0); - if (tgtManEndptVal === 'outside-to-node-or-label' || tgtManEndptVal === 'outside-to-line-or-label') { - var trs = target._private.rscratch; - var lw = trs.labelWidth; - var lh = trs.labelHeight; - var lx = trs.labelX; - var ly = trs.labelY; - var lw2 = lw / 2; - var lh2 = lh / 2; - var va = target.pstyle('text-valign').value; - if (va === 'top') { - ly -= lh2; - } else if (va === 'bottom') { - ly += lh2; - } - var ha = target.pstyle('text-halign').value; - if (ha === 'left') { - lx -= lw2; - } else if (ha === 'right') { - lx += lw2; - } - var labelIntersect = polygonIntersectLine(p1_i[0], p1_i[1], [lx - lw2, ly - lh2, lx + lw2, ly - lh2, lx + lw2, ly + lh2, lx - lw2, ly + lh2], tgtPos.x, tgtPos.y); - if (labelIntersect.length > 0) { - var refPt = srcPos; - var intSqdist = sqdist(refPt, array2point(intersect)); - var labIntSqdist = sqdist(refPt, array2point(labelIntersect)); - var minSqDist = intSqdist; - if (labIntSqdist < intSqdist) { - intersect = labelIntersect; - minSqDist = labIntSqdist; - } - if (labelIntersect.length > 2) { - var labInt2SqDist = sqdist(refPt, { - x: labelIntersect[2], - y: labelIntersect[3] - }); - if (labInt2SqDist < minSqDist) { - intersect = [labelIntersect[2], labelIntersect[3]]; - } - } - } - } - } - var arrowEnd = shortenIntersection(intersect, p1, r.arrowShapes[tgtArShape].spacing(edge) + tgtDist); - var edgeEnd = shortenIntersection(intersect, p1, r.arrowShapes[tgtArShape].gap(edge) + tgtDist); - rs.endX = edgeEnd[0]; - rs.endY = edgeEnd[1]; - rs.arrowEndX = arrowEnd[0]; - rs.arrowEndY = arrowEnd[1]; - if (srcManEndptVal === 'inside-to-node') { - intersect = [srcPos.x, srcPos.y]; - } else if (srcManEndpt.units) { - intersect = this.manualEndptToPx(source, srcManEndpt); - } else if (srcManEndptVal === 'outside-to-line') { - intersect = rs.srcIntn; // use cached value from ctrlpt calc - } else { - if (srcManEndptVal === 'outside-to-node' || srcManEndptVal === 'outside-to-node-or-label') { - p2_i = p2; - } else if (srcManEndptVal === 'outside-to-line' || srcManEndptVal === 'outside-to-line-or-label') { - p2_i = [tgtPos.x, tgtPos.y]; - } - intersect = r.nodeShapes[this.getNodeShape(source)].intersectLine(srcPos.x, srcPos.y, source.outerWidth(), source.outerHeight(), p2_i[0], p2_i[1], 0); - if (srcManEndptVal === 'outside-to-node-or-label' || srcManEndptVal === 'outside-to-line-or-label') { - var srs = source._private.rscratch; - var _lw = srs.labelWidth; - var _lh = srs.labelHeight; - var _lx = srs.labelX; - var _ly = srs.labelY; - var _lw2 = _lw / 2; - var _lh2 = _lh / 2; - var _va = source.pstyle('text-valign').value; - if (_va === 'top') { - _ly -= _lh2; - } else if (_va === 'bottom') { - _ly += _lh2; - } - var _ha = source.pstyle('text-halign').value; - if (_ha === 'left') { - _lx -= _lw2; - } else if (_ha === 'right') { - _lx += _lw2; - } - var _labelIntersect = polygonIntersectLine(p2_i[0], p2_i[1], [_lx - _lw2, _ly - _lh2, _lx + _lw2, _ly - _lh2, _lx + _lw2, _ly + _lh2, _lx - _lw2, _ly + _lh2], srcPos.x, srcPos.y); - if (_labelIntersect.length > 0) { - var _refPt = tgtPos; - var _intSqdist = sqdist(_refPt, array2point(intersect)); - var _labIntSqdist = sqdist(_refPt, array2point(_labelIntersect)); - var _minSqDist = _intSqdist; - if (_labIntSqdist < _intSqdist) { - intersect = [_labelIntersect[0], _labelIntersect[1]]; - _minSqDist = _labIntSqdist; - } - if (_labelIntersect.length > 2) { - var _labInt2SqDist = sqdist(_refPt, { - x: _labelIntersect[2], - y: _labelIntersect[3] - }); - if (_labInt2SqDist < _minSqDist) { - intersect = [_labelIntersect[2], _labelIntersect[3]]; - } - } - } - } - } - var arrowStart = shortenIntersection(intersect, p2, r.arrowShapes[srcArShape].spacing(edge) + srcDist); - var edgeStart = shortenIntersection(intersect, p2, r.arrowShapes[srcArShape].gap(edge) + srcDist); - rs.startX = edgeStart[0]; - rs.startY = edgeStart[1]; - rs.arrowStartX = arrowStart[0]; - rs.arrowStartY = arrowStart[1]; - if (hasEndpts) { - if (!number$1(rs.startX) || !number$1(rs.startY) || !number$1(rs.endX) || !number$1(rs.endY)) { - rs.badLine = true; - } else { - rs.badLine = false; - } - } - }; - BRp$b.getSourceEndpoint = function (edge) { - var rs = edge[0]._private.rscratch; - this.recalculateRenderedStyle(edge); - switch (rs.edgeType) { - case 'haystack': - return { - x: rs.haystackPts[0], - y: rs.haystackPts[1] - }; - default: - return { - x: rs.arrowStartX, - y: rs.arrowStartY - }; - } - }; - BRp$b.getTargetEndpoint = function (edge) { - var rs = edge[0]._private.rscratch; - this.recalculateRenderedStyle(edge); - switch (rs.edgeType) { - case 'haystack': - return { - x: rs.haystackPts[2], - y: rs.haystackPts[3] - }; - default: - return { - x: rs.arrowEndX, - y: rs.arrowEndY - }; - } - }; - - var BRp$a = {}; - function pushBezierPts(r, edge, pts) { - var qbezierAt$1 = function qbezierAt$1(p1, p2, p3, t) { - return qbezierAt(p1, p2, p3, t); - }; - var _p = edge._private; - var bpts = _p.rstyle.bezierPts; - for (var i = 0; i < r.bezierProjPcts.length; i++) { - var p = r.bezierProjPcts[i]; - bpts.push({ - x: qbezierAt$1(pts[0], pts[2], pts[4], p), - y: qbezierAt$1(pts[1], pts[3], pts[5], p) - }); - } - } - BRp$a.storeEdgeProjections = function (edge) { - var _p = edge._private; - var rs = _p.rscratch; - var et = rs.edgeType; - - // clear the cached points state - _p.rstyle.bezierPts = null; - _p.rstyle.linePts = null; - _p.rstyle.haystackPts = null; - if (et === 'multibezier' || et === 'bezier' || et === 'self' || et === 'compound') { - _p.rstyle.bezierPts = []; - for (var i = 0; i + 5 < rs.allpts.length; i += 4) { - pushBezierPts(this, edge, rs.allpts.slice(i, i + 6)); - } - } else if (et === 'segments') { - var lpts = _p.rstyle.linePts = []; - for (var i = 0; i + 1 < rs.allpts.length; i += 2) { - lpts.push({ - x: rs.allpts[i], - y: rs.allpts[i + 1] - }); - } - } else if (et === 'haystack') { - var hpts = rs.haystackPts; - _p.rstyle.haystackPts = [{ - x: hpts[0], - y: hpts[1] - }, { - x: hpts[2], - y: hpts[3] - }]; - } - _p.rstyle.arrowWidth = this.getArrowWidth(edge.pstyle('width').pfValue, edge.pstyle('arrow-scale').value) * this.arrowShapeWidth; - }; - BRp$a.recalculateEdgeProjections = function (edges) { - this.findEdgeControlPoints(edges); - }; - - /* global document */ - - var BRp$9 = {}; - BRp$9.recalculateNodeLabelProjection = function (node) { - var content = node.pstyle('label').strValue; - if (emptyString(content)) { - return; - } - var textX, textY; - var _p = node._private; - var nodeWidth = node.width(); - var nodeHeight = node.height(); - var padding = node.padding(); - var nodePos = node.position(); - var textHalign = node.pstyle('text-halign').strValue; - var textValign = node.pstyle('text-valign').strValue; - var rs = _p.rscratch; - var rstyle = _p.rstyle; - switch (textHalign) { - case 'left': - textX = nodePos.x - nodeWidth / 2 - padding; - break; - case 'right': - textX = nodePos.x + nodeWidth / 2 + padding; - break; - default: - // e.g. center - textX = nodePos.x; - } - switch (textValign) { - case 'top': - textY = nodePos.y - nodeHeight / 2 - padding; - break; - case 'bottom': - textY = nodePos.y + nodeHeight / 2 + padding; - break; - default: - // e.g. middle - textY = nodePos.y; - } - rs.labelX = textX; - rs.labelY = textY; - rstyle.labelX = textX; - rstyle.labelY = textY; - this.calculateLabelAngles(node); - this.applyLabelDimensions(node); - }; - var lineAngleFromDelta = function lineAngleFromDelta(dx, dy) { - var angle = Math.atan(dy / dx); - if (dx === 0 && angle < 0) { - angle = angle * -1; - } - return angle; - }; - var lineAngle = function lineAngle(p0, p1) { - var dx = p1.x - p0.x; - var dy = p1.y - p0.y; - return lineAngleFromDelta(dx, dy); - }; - var bezierAngle = function bezierAngle(p0, p1, p2, t) { - var t0 = bound(0, t - 0.001, 1); - var t1 = bound(0, t + 0.001, 1); - var lp0 = qbezierPtAt(p0, p1, p2, t0); - var lp1 = qbezierPtAt(p0, p1, p2, t1); - return lineAngle(lp0, lp1); - }; - BRp$9.recalculateEdgeLabelProjections = function (edge) { - var p; - var _p = edge._private; - var rs = _p.rscratch; - var r = this; - var content = { - mid: edge.pstyle('label').strValue, - source: edge.pstyle('source-label').strValue, - target: edge.pstyle('target-label').strValue - }; - if (content.mid || content.source || content.target) ; else { - return; // no labels => no calcs - } - - // add center point to style so bounding box calculations can use it - // - p = { - x: rs.midX, - y: rs.midY - }; - var setRs = function setRs(propName, prefix, value) { - setPrefixedProperty(_p.rscratch, propName, prefix, value); - setPrefixedProperty(_p.rstyle, propName, prefix, value); - }; - setRs('labelX', null, p.x); - setRs('labelY', null, p.y); - var midAngle = lineAngleFromDelta(rs.midDispX, rs.midDispY); - setRs('labelAutoAngle', null, midAngle); - var createControlPointInfo = function createControlPointInfo() { - if (createControlPointInfo.cache) { - return createControlPointInfo.cache; - } // use cache so only 1x per edge - - var ctrlpts = []; - - // store each ctrlpt info init - for (var i = 0; i + 5 < rs.allpts.length; i += 4) { - var p0 = { - x: rs.allpts[i], - y: rs.allpts[i + 1] - }; - var p1 = { - x: rs.allpts[i + 2], - y: rs.allpts[i + 3] - }; // ctrlpt - var p2 = { - x: rs.allpts[i + 4], - y: rs.allpts[i + 5] - }; - ctrlpts.push({ - p0: p0, - p1: p1, - p2: p2, - startDist: 0, - length: 0, - segments: [] - }); - } - var bpts = _p.rstyle.bezierPts; - var nProjs = r.bezierProjPcts.length; - function addSegment(cp, p0, p1, t0, t1) { - var length = dist(p0, p1); - var prevSegment = cp.segments[cp.segments.length - 1]; - var segment = { - p0: p0, - p1: p1, - t0: t0, - t1: t1, - startDist: prevSegment ? prevSegment.startDist + prevSegment.length : 0, - length: length - }; - cp.segments.push(segment); - cp.length += length; - } - - // update each ctrlpt with segment info - for (var _i = 0; _i < ctrlpts.length; _i++) { - var cp = ctrlpts[_i]; - var prevCp = ctrlpts[_i - 1]; - if (prevCp) { - cp.startDist = prevCp.startDist + prevCp.length; - } - addSegment(cp, cp.p0, bpts[_i * nProjs], 0, r.bezierProjPcts[0]); // first - - for (var j = 0; j < nProjs - 1; j++) { - addSegment(cp, bpts[_i * nProjs + j], bpts[_i * nProjs + j + 1], r.bezierProjPcts[j], r.bezierProjPcts[j + 1]); - } - addSegment(cp, bpts[_i * nProjs + nProjs - 1], cp.p2, r.bezierProjPcts[nProjs - 1], 1); // last - } - - return createControlPointInfo.cache = ctrlpts; - }; - var calculateEndProjection = function calculateEndProjection(prefix) { - var angle; - var isSrc = prefix === 'source'; - if (!content[prefix]) { - return; - } - var offset = edge.pstyle(prefix + '-text-offset').pfValue; - switch (rs.edgeType) { - case 'self': - case 'compound': - case 'bezier': - case 'multibezier': - { - var cps = createControlPointInfo(); - var selected; - var startDist = 0; - var totalDist = 0; - - // find the segment we're on - for (var i = 0; i < cps.length; i++) { - var _cp = cps[isSrc ? i : cps.length - 1 - i]; - for (var j = 0; j < _cp.segments.length; j++) { - var _seg = _cp.segments[isSrc ? j : _cp.segments.length - 1 - j]; - var lastSeg = i === cps.length - 1 && j === _cp.segments.length - 1; - startDist = totalDist; - totalDist += _seg.length; - if (totalDist >= offset || lastSeg) { - selected = { - cp: _cp, - segment: _seg - }; - break; - } - } - if (selected) { - break; - } - } - var cp = selected.cp; - var seg = selected.segment; - var tSegment = (offset - startDist) / seg.length; - var segDt = seg.t1 - seg.t0; - var t = isSrc ? seg.t0 + segDt * tSegment : seg.t1 - segDt * tSegment; - t = bound(0, t, 1); - p = qbezierPtAt(cp.p0, cp.p1, cp.p2, t); - angle = bezierAngle(cp.p0, cp.p1, cp.p2, t); - break; - } - case 'straight': - case 'segments': - case 'haystack': - { - var d = 0, - di, - d0; - var p0, p1; - var l = rs.allpts.length; - for (var _i2 = 0; _i2 + 3 < l; _i2 += 2) { - if (isSrc) { - p0 = { - x: rs.allpts[_i2], - y: rs.allpts[_i2 + 1] - }; - p1 = { - x: rs.allpts[_i2 + 2], - y: rs.allpts[_i2 + 3] - }; - } else { - p0 = { - x: rs.allpts[l - 2 - _i2], - y: rs.allpts[l - 1 - _i2] - }; - p1 = { - x: rs.allpts[l - 4 - _i2], - y: rs.allpts[l - 3 - _i2] - }; - } - di = dist(p0, p1); - d0 = d; - d += di; - if (d >= offset) { - break; - } - } - var pD = offset - d0; - var _t = pD / di; - _t = bound(0, _t, 1); - p = lineAt(p0, p1, _t); - angle = lineAngle(p0, p1); - break; - } - } - setRs('labelX', prefix, p.x); - setRs('labelY', prefix, p.y); - setRs('labelAutoAngle', prefix, angle); - }; - calculateEndProjection('source'); - calculateEndProjection('target'); - this.applyLabelDimensions(edge); - }; - BRp$9.applyLabelDimensions = function (ele) { - this.applyPrefixedLabelDimensions(ele); - if (ele.isEdge()) { - this.applyPrefixedLabelDimensions(ele, 'source'); - this.applyPrefixedLabelDimensions(ele, 'target'); - } - }; - BRp$9.applyPrefixedLabelDimensions = function (ele, prefix) { - var _p = ele._private; - var text = this.getLabelText(ele, prefix); - var labelDims = this.calculateLabelDimensions(ele, text); - var lineHeight = ele.pstyle('line-height').pfValue; - var textWrap = ele.pstyle('text-wrap').strValue; - var lines = getPrefixedProperty(_p.rscratch, 'labelWrapCachedLines', prefix) || []; - var numLines = textWrap !== 'wrap' ? 1 : Math.max(lines.length, 1); - var normPerLineHeight = labelDims.height / numLines; - var labelLineHeight = normPerLineHeight * lineHeight; - var width = labelDims.width; - var height = labelDims.height + (numLines - 1) * (lineHeight - 1) * normPerLineHeight; - setPrefixedProperty(_p.rstyle, 'labelWidth', prefix, width); - setPrefixedProperty(_p.rscratch, 'labelWidth', prefix, width); - setPrefixedProperty(_p.rstyle, 'labelHeight', prefix, height); - setPrefixedProperty(_p.rscratch, 'labelHeight', prefix, height); - setPrefixedProperty(_p.rscratch, 'labelLineHeight', prefix, labelLineHeight); - }; - BRp$9.getLabelText = function (ele, prefix) { - var _p = ele._private; - var pfd = prefix ? prefix + '-' : ''; - var text = ele.pstyle(pfd + 'label').strValue; - var textTransform = ele.pstyle('text-transform').value; - var rscratch = function rscratch(propName, value) { - if (value) { - setPrefixedProperty(_p.rscratch, propName, prefix, value); - return value; - } else { - return getPrefixedProperty(_p.rscratch, propName, prefix); - } - }; - - // for empty text, skip all processing - if (!text) { - return ''; - } - if (textTransform == 'none') ; else if (textTransform == 'uppercase') { - text = text.toUpperCase(); - } else if (textTransform == 'lowercase') { - text = text.toLowerCase(); - } - var wrapStyle = ele.pstyle('text-wrap').value; - if (wrapStyle === 'wrap') { - var labelKey = rscratch('labelKey'); - - // save recalc if the label is the same as before - if (labelKey != null && rscratch('labelWrapKey') === labelKey) { - return rscratch('labelWrapCachedText'); - } - var zwsp = "\u200B"; - var lines = text.split('\n'); - var maxW = ele.pstyle('text-max-width').pfValue; - var overflow = ele.pstyle('text-overflow-wrap').value; - var overflowAny = overflow === 'anywhere'; - var wrappedLines = []; - var wordsRegex = /[\s\u200b]+/; - var wordSeparator = overflowAny ? '' : ' '; - for (var l = 0; l < lines.length; l++) { - var line = lines[l]; - var lineDims = this.calculateLabelDimensions(ele, line); - var lineW = lineDims.width; - if (overflowAny) { - var processedLine = line.split('').join(zwsp); - line = processedLine; - } - if (lineW > maxW) { - // line is too long - var words = line.split(wordsRegex); - var subline = ''; - for (var w = 0; w < words.length; w++) { - var word = words[w]; - var testLine = subline.length === 0 ? word : subline + wordSeparator + word; - var testDims = this.calculateLabelDimensions(ele, testLine); - var testW = testDims.width; - if (testW <= maxW) { - // word fits on current line - subline += word + wordSeparator; - } else { - // word starts new line - if (subline) { - wrappedLines.push(subline); - } - subline = word + wordSeparator; - } - } - - // if there's remaining text, put it in a wrapped line - if (!subline.match(/^[\s\u200b]+$/)) { - wrappedLines.push(subline); - } - } else { - // line is already short enough - wrappedLines.push(line); - } - } // for - - rscratch('labelWrapCachedLines', wrappedLines); - text = rscratch('labelWrapCachedText', wrappedLines.join('\n')); - rscratch('labelWrapKey', labelKey); - } else if (wrapStyle === 'ellipsis') { - var _maxW = ele.pstyle('text-max-width').pfValue; - var ellipsized = ''; - var ellipsis = "\u2026"; - var incLastCh = false; - if (this.calculateLabelDimensions(ele, text).width < _maxW) { - // the label already fits - return text; - } - for (var i = 0; i < text.length; i++) { - var widthWithNextCh = this.calculateLabelDimensions(ele, ellipsized + text[i] + ellipsis).width; - if (widthWithNextCh > _maxW) { - break; - } - ellipsized += text[i]; - if (i === text.length - 1) { - incLastCh = true; - } - } - if (!incLastCh) { - ellipsized += ellipsis; - } - return ellipsized; - } // if ellipsize - - return text; - }; - BRp$9.getLabelJustification = function (ele) { - var justification = ele.pstyle('text-justification').strValue; - var textHalign = ele.pstyle('text-halign').strValue; - if (justification === 'auto') { - if (ele.isNode()) { - switch (textHalign) { - case 'left': - return 'right'; - case 'right': - return 'left'; - default: - return 'center'; - } - } else { - return 'center'; - } - } else { - return justification; - } - }; - BRp$9.calculateLabelDimensions = function (ele, text) { - var r = this; - var cacheKey = hashString(text, ele._private.labelDimsKey); - var cache = r.labelDimCache || (r.labelDimCache = []); - var existingVal = cache[cacheKey]; - if (existingVal != null) { - return existingVal; - } - var padding = 0; // add padding around text dims, as the measurement isn't that accurate - var fStyle = ele.pstyle('font-style').strValue; - var size = ele.pstyle('font-size').pfValue; - var family = ele.pstyle('font-family').strValue; - var weight = ele.pstyle('font-weight').strValue; - var canvas = this.labelCalcCanvas; - var c2d = this.labelCalcCanvasContext; - if (!canvas) { - canvas = this.labelCalcCanvas = document.createElement('canvas'); - c2d = this.labelCalcCanvasContext = canvas.getContext('2d'); - var ds = canvas.style; - ds.position = 'absolute'; - ds.left = '-9999px'; - ds.top = '-9999px'; - ds.zIndex = '-1'; - ds.visibility = 'hidden'; - ds.pointerEvents = 'none'; - } - c2d.font = "".concat(fStyle, " ").concat(weight, " ").concat(size, "px ").concat(family); - var width = 0; - var height = 0; - var lines = text.split('\n'); - for (var i = 0; i < lines.length; i++) { - var line = lines[i]; - var metrics = c2d.measureText(line); - var w = Math.ceil(metrics.width); - var h = size; - width = Math.max(w, width); - height += h; - } - width += padding; - height += padding; - return cache[cacheKey] = { - width: width, - height: height - }; - }; - BRp$9.calculateLabelAngle = function (ele, prefix) { - var _p = ele._private; - var rs = _p.rscratch; - var isEdge = ele.isEdge(); - var prefixDash = prefix ? prefix + '-' : ''; - var rot = ele.pstyle(prefixDash + 'text-rotation'); - var rotStr = rot.strValue; - if (rotStr === 'none') { - return 0; - } else if (isEdge && rotStr === 'autorotate') { - return rs.labelAutoAngle; - } else if (rotStr === 'autorotate') { - return 0; - } else { - return rot.pfValue; - } - }; - BRp$9.calculateLabelAngles = function (ele) { - var r = this; - var isEdge = ele.isEdge(); - var _p = ele._private; - var rs = _p.rscratch; - rs.labelAngle = r.calculateLabelAngle(ele); - if (isEdge) { - rs.sourceLabelAngle = r.calculateLabelAngle(ele, 'source'); - rs.targetLabelAngle = r.calculateLabelAngle(ele, 'target'); - } - }; - - var BRp$8 = {}; - var TOO_SMALL_CUT_RECT = 28; - var warnedCutRect = false; - BRp$8.getNodeShape = function (node) { - var r = this; - var shape = node.pstyle('shape').value; - if (shape === 'cutrectangle' && (node.width() < TOO_SMALL_CUT_RECT || node.height() < TOO_SMALL_CUT_RECT)) { - if (!warnedCutRect) { - warn('The `cutrectangle` node shape can not be used at small sizes so `rectangle` is used instead'); - warnedCutRect = true; - } - return 'rectangle'; - } - if (node.isParent()) { - if (shape === 'rectangle' || shape === 'roundrectangle' || shape === 'round-rectangle' || shape === 'cutrectangle' || shape === 'cut-rectangle' || shape === 'barrel') { - return shape; - } else { - return 'rectangle'; - } - } - if (shape === 'polygon') { - var points = node.pstyle('shape-polygon-points').value; - return r.nodeShapes.makePolygon(points).name; - } - return shape; - }; - - var BRp$7 = {}; - BRp$7.registerCalculationListeners = function () { - var cy = this.cy; - var elesToUpdate = cy.collection(); - var r = this; - var enqueue = function enqueue(eles) { - var dirtyStyleCaches = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; - elesToUpdate.merge(eles); - if (dirtyStyleCaches) { - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var _p = ele._private; - var rstyle = _p.rstyle; - rstyle.clean = false; - rstyle.cleanConnected = false; - } - } - }; - r.binder(cy).on('bounds.* dirty.*', function onDirtyBounds(e) { - var ele = e.target; - enqueue(ele); - }).on('style.* background.*', function onDirtyStyle(e) { - var ele = e.target; - enqueue(ele, false); - }); - var updateEleCalcs = function updateEleCalcs(willDraw) { - if (willDraw) { - var fns = r.onUpdateEleCalcsFns; - - // because we need to have up-to-date style (e.g. stylesheet mappers) - // before calculating rendered style (and pstyle might not be called yet) - elesToUpdate.cleanStyle(); - for (var i = 0; i < elesToUpdate.length; i++) { - var ele = elesToUpdate[i]; - var rstyle = ele._private.rstyle; - if (ele.isNode() && !rstyle.cleanConnected) { - enqueue(ele.connectedEdges()); - rstyle.cleanConnected = true; - } - } - if (fns) { - for (var _i = 0; _i < fns.length; _i++) { - var fn = fns[_i]; - fn(willDraw, elesToUpdate); - } - } - r.recalculateRenderedStyle(elesToUpdate); - elesToUpdate = cy.collection(); - } - }; - r.flushRenderedStyleQueue = function () { - updateEleCalcs(true); - }; - r.beforeRender(updateEleCalcs, r.beforeRenderPriorities.eleCalcs); - }; - BRp$7.onUpdateEleCalcs = function (fn) { - var fns = this.onUpdateEleCalcsFns = this.onUpdateEleCalcsFns || []; - fns.push(fn); - }; - BRp$7.recalculateRenderedStyle = function (eles, useCache) { - var isCleanConnected = function isCleanConnected(ele) { - return ele._private.rstyle.cleanConnected; - }; - var edges = []; - var nodes = []; - - // the renderer can't be used for calcs when destroyed, e.g. ele.boundingBox() - if (this.destroyed) { - return; - } - - // use cache by default for perf - if (useCache === undefined) { - useCache = true; - } - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var _p = ele._private; - var rstyle = _p.rstyle; - - // an edge may be implicitly dirty b/c of one of its connected nodes - // (and a request for recalc may come in between frames) - if (ele.isEdge() && (!isCleanConnected(ele.source()) || !isCleanConnected(ele.target()))) { - rstyle.clean = false; - } - - // only update if dirty and in graph - if (useCache && rstyle.clean || ele.removed()) { - continue; - } - - // only update if not display: none - if (ele.pstyle('display').value === 'none') { - continue; - } - if (_p.group === 'nodes') { - nodes.push(ele); - } else { - // edges - edges.push(ele); - } - rstyle.clean = true; - } - - // update node data from projections - for (var _i2 = 0; _i2 < nodes.length; _i2++) { - var _ele = nodes[_i2]; - var _p2 = _ele._private; - var _rstyle = _p2.rstyle; - var pos = _ele.position(); - this.recalculateNodeLabelProjection(_ele); - _rstyle.nodeX = pos.x; - _rstyle.nodeY = pos.y; - _rstyle.nodeW = _ele.pstyle('width').pfValue; - _rstyle.nodeH = _ele.pstyle('height').pfValue; - } - this.recalculateEdgeProjections(edges); - - // update edge data from projections - for (var _i3 = 0; _i3 < edges.length; _i3++) { - var _ele2 = edges[_i3]; - var _p3 = _ele2._private; - var _rstyle2 = _p3.rstyle; - var rs = _p3.rscratch; - - // update rstyle positions - _rstyle2.srcX = rs.arrowStartX; - _rstyle2.srcY = rs.arrowStartY; - _rstyle2.tgtX = rs.arrowEndX; - _rstyle2.tgtY = rs.arrowEndY; - _rstyle2.midX = rs.midX; - _rstyle2.midY = rs.midY; - _rstyle2.labelAngle = rs.labelAngle; - _rstyle2.sourceLabelAngle = rs.sourceLabelAngle; - _rstyle2.targetLabelAngle = rs.targetLabelAngle; - } - }; - - var BRp$6 = {}; - BRp$6.updateCachedGrabbedEles = function () { - var eles = this.cachedZSortedEles; - if (!eles) { - // just let this be recalculated on the next z sort tick - return; - } - eles.drag = []; - eles.nondrag = []; - var grabTargets = []; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var rs = ele._private.rscratch; - if (ele.grabbed() && !ele.isParent()) { - grabTargets.push(ele); - } else if (rs.inDragLayer) { - eles.drag.push(ele); - } else { - eles.nondrag.push(ele); - } - } - - // put the grab target nodes last so it's on top of its neighbourhood - for (var i = 0; i < grabTargets.length; i++) { - var ele = grabTargets[i]; - eles.drag.push(ele); - } - }; - BRp$6.invalidateCachedZSortedEles = function () { - this.cachedZSortedEles = null; - }; - BRp$6.getCachedZSortedEles = function (forceRecalc) { - if (forceRecalc || !this.cachedZSortedEles) { - var eles = this.cy.mutableElements().toArray(); - eles.sort(zIndexSort); - eles.interactive = eles.filter(function (ele) { - return ele.interactive(); - }); - this.cachedZSortedEles = eles; - this.updateCachedGrabbedEles(); - } else { - eles = this.cachedZSortedEles; - } - return eles; - }; - - var BRp$5 = {}; - [BRp$e, BRp$d, BRp$c, BRp$b, BRp$a, BRp$9, BRp$8, BRp$7, BRp$6].forEach(function (props) { - extend(BRp$5, props); - }); - - var BRp$4 = {}; - BRp$4.getCachedImage = function (url, crossOrigin, onLoad) { - var r = this; - var imageCache = r.imageCache = r.imageCache || {}; - var cache = imageCache[url]; - if (cache) { - if (!cache.image.complete) { - cache.image.addEventListener('load', onLoad); - } - return cache.image; - } else { - cache = imageCache[url] = imageCache[url] || {}; - var image = cache.image = new Image(); // eslint-disable-line no-undef - - image.addEventListener('load', onLoad); - image.addEventListener('error', function () { - image.error = true; - }); - - // #1582 safari doesn't load data uris with crossOrigin properly - // https://bugs.webkit.org/show_bug.cgi?id=123978 - var dataUriPrefix = 'data:'; - var isDataUri = url.substring(0, dataUriPrefix.length).toLowerCase() === dataUriPrefix; - if (!isDataUri) { - // if crossorigin is 'null'(stringified), then manually set it to null - crossOrigin = crossOrigin === 'null' ? null : crossOrigin; - image.crossOrigin = crossOrigin; // prevent tainted canvas - } - - image.src = url; - return image; - } - }; - - var BRp$3 = {}; - - /* global document, window, ResizeObserver, MutationObserver */ - - BRp$3.registerBinding = function (target, event, handler, useCapture) { - // eslint-disable-line no-unused-vars - var args = Array.prototype.slice.apply(arguments, [1]); // copy - var b = this.binder(target); - return b.on.apply(b, args); - }; - BRp$3.binder = function (tgt) { - var r = this; - var containerWindow = r.cy.window(); - var tgtIsDom = tgt === containerWindow || tgt === containerWindow.document || tgt === containerWindow.document.body || domElement(tgt); - if (r.supportsPassiveEvents == null) { - // from https://github.com/WICG/EventListenerOptions/blob/gh-pages/explainer.md#feature-detection - var supportsPassive = false; - try { - var opts = Object.defineProperty({}, 'passive', { - get: function get() { - supportsPassive = true; - return true; - } - }); - containerWindow.addEventListener('test', null, opts); - } catch (err) { - // not supported - } - r.supportsPassiveEvents = supportsPassive; - } - var on = function on(event, handler, useCapture) { - var args = Array.prototype.slice.call(arguments); - if (tgtIsDom && r.supportsPassiveEvents) { - // replace useCapture w/ opts obj - args[2] = { - capture: useCapture != null ? useCapture : false, - passive: false, - once: false - }; - } - r.bindings.push({ - target: tgt, - args: args - }); - (tgt.addEventListener || tgt.on).apply(tgt, args); - return this; - }; - return { - on: on, - addEventListener: on, - addListener: on, - bind: on - }; - }; - BRp$3.nodeIsDraggable = function (node) { - return node && node.isNode() && !node.locked() && node.grabbable(); - }; - BRp$3.nodeIsGrabbable = function (node) { - return this.nodeIsDraggable(node) && node.interactive(); - }; - BRp$3.load = function () { - var r = this; - var containerWindow = r.cy.window(); - var isSelected = function isSelected(ele) { - return ele.selected(); - }; - var triggerEvents = function triggerEvents(target, names, e, position) { - if (target == null) { - target = r.cy; - } - for (var i = 0; i < names.length; i++) { - var name = names[i]; - target.emit({ - originalEvent: e, - type: name, - position: position - }); - } - }; - var isMultSelKeyDown = function isMultSelKeyDown(e) { - return e.shiftKey || e.metaKey || e.ctrlKey; // maybe e.altKey - }; - - var allowPanningPassthrough = function allowPanningPassthrough(down, downs) { - var allowPassthrough = true; - if (r.cy.hasCompoundNodes() && down && down.pannable()) { - // a grabbable compound node below the ele => no passthrough panning - for (var i = 0; downs && i < downs.length; i++) { - var down = downs[i]; - - //if any parent node in event hierarchy isn't pannable, reject passthrough - if (down.isNode() && down.isParent() && !down.pannable()) { - allowPassthrough = false; - break; - } - } - } else { - allowPassthrough = true; - } - return allowPassthrough; - }; - var setGrabbed = function setGrabbed(ele) { - ele[0]._private.grabbed = true; - }; - var setFreed = function setFreed(ele) { - ele[0]._private.grabbed = false; - }; - var setInDragLayer = function setInDragLayer(ele) { - ele[0]._private.rscratch.inDragLayer = true; - }; - var setOutDragLayer = function setOutDragLayer(ele) { - ele[0]._private.rscratch.inDragLayer = false; - }; - var setGrabTarget = function setGrabTarget(ele) { - ele[0]._private.rscratch.isGrabTarget = true; - }; - var removeGrabTarget = function removeGrabTarget(ele) { - ele[0]._private.rscratch.isGrabTarget = false; - }; - var addToDragList = function addToDragList(ele, opts) { - var list = opts.addToList; - var listHasEle = list.has(ele); - if (!listHasEle && ele.grabbable() && !ele.locked()) { - list.merge(ele); - setGrabbed(ele); - } - }; - - // helper function to determine which child nodes and inner edges - // of a compound node to be dragged as well as the grabbed and selected nodes - var addDescendantsToDrag = function addDescendantsToDrag(node, opts) { - if (!node.cy().hasCompoundNodes()) { - return; - } - if (opts.inDragLayer == null && opts.addToList == null) { - return; - } // nothing to do - - var innerNodes = node.descendants(); - if (opts.inDragLayer) { - innerNodes.forEach(setInDragLayer); - innerNodes.connectedEdges().forEach(setInDragLayer); - } - if (opts.addToList) { - addToDragList(innerNodes, opts); - } - }; - - // adds the given nodes and its neighbourhood to the drag layer - var addNodesToDrag = function addNodesToDrag(nodes, opts) { - opts = opts || {}; - var hasCompoundNodes = nodes.cy().hasCompoundNodes(); - if (opts.inDragLayer) { - nodes.forEach(setInDragLayer); - nodes.neighborhood().stdFilter(function (ele) { - return !hasCompoundNodes || ele.isEdge(); - }).forEach(setInDragLayer); - } - if (opts.addToList) { - nodes.forEach(function (ele) { - addToDragList(ele, opts); - }); - } - addDescendantsToDrag(nodes, opts); // always add to drag - - // also add nodes and edges related to the topmost ancestor - updateAncestorsInDragLayer(nodes, { - inDragLayer: opts.inDragLayer - }); - r.updateCachedGrabbedEles(); - }; - var addNodeToDrag = addNodesToDrag; - var freeDraggedElements = function freeDraggedElements(grabbedEles) { - if (!grabbedEles) { - return; - } - - // just go over all elements rather than doing a bunch of (possibly expensive) traversals - r.getCachedZSortedEles().forEach(function (ele) { - setFreed(ele); - setOutDragLayer(ele); - removeGrabTarget(ele); - }); - r.updateCachedGrabbedEles(); - }; - - // helper function to determine which ancestor nodes and edges should go - // to the drag layer (or should be removed from drag layer). - var updateAncestorsInDragLayer = function updateAncestorsInDragLayer(node, opts) { - if (opts.inDragLayer == null && opts.addToList == null) { - return; - } // nothing to do - - if (!node.cy().hasCompoundNodes()) { - return; - } - - // find top-level parent - var parent = node.ancestors().orphans(); - - // no parent node: no nodes to add to the drag layer - if (parent.same(node)) { - return; - } - var nodes = parent.descendants().spawnSelf().merge(parent).unmerge(node).unmerge(node.descendants()); - var edges = nodes.connectedEdges(); - if (opts.inDragLayer) { - edges.forEach(setInDragLayer); - nodes.forEach(setInDragLayer); - } - if (opts.addToList) { - nodes.forEach(function (ele) { - addToDragList(ele, opts); - }); - } - }; - var blurActiveDomElement = function blurActiveDomElement() { - if (document.activeElement != null && document.activeElement.blur != null) { - document.activeElement.blur(); - } - }; - var haveMutationsApi = typeof MutationObserver !== 'undefined'; - var haveResizeObserverApi = typeof ResizeObserver !== 'undefined'; - - // watch for when the cy container is removed from the dom - if (haveMutationsApi) { - r.removeObserver = new MutationObserver(function (mutns) { - // eslint-disable-line no-undef - for (var i = 0; i < mutns.length; i++) { - var mutn = mutns[i]; - var rNodes = mutn.removedNodes; - if (rNodes) { - for (var j = 0; j < rNodes.length; j++) { - var rNode = rNodes[j]; - if (rNode === r.container) { - r.destroy(); - break; - } - } - } - } - }); - if (r.container.parentNode) { - r.removeObserver.observe(r.container.parentNode, { - childList: true - }); - } - } else { - r.registerBinding(r.container, 'DOMNodeRemoved', function (e) { - // eslint-disable-line no-unused-vars - r.destroy(); - }); - } - var onResize = debounce_1(function () { - r.cy.resize(); - }, 100); - if (haveMutationsApi) { - r.styleObserver = new MutationObserver(onResize); // eslint-disable-line no-undef - - r.styleObserver.observe(r.container, { - attributes: true - }); - } - - // auto resize - r.registerBinding(containerWindow, 'resize', onResize); // eslint-disable-line no-undef - - if (haveResizeObserverApi) { - r.resizeObserver = new ResizeObserver(onResize); // eslint-disable-line no-undef - - r.resizeObserver.observe(r.container); - } - var forEachUp = function forEachUp(domEle, fn) { - while (domEle != null) { - fn(domEle); - domEle = domEle.parentNode; - } - }; - var invalidateCoords = function invalidateCoords() { - r.invalidateContainerClientCoordsCache(); - }; - forEachUp(r.container, function (domEle) { - r.registerBinding(domEle, 'transitionend', invalidateCoords); - r.registerBinding(domEle, 'animationend', invalidateCoords); - r.registerBinding(domEle, 'scroll', invalidateCoords); - }); - - // stop right click menu from appearing on cy - r.registerBinding(r.container, 'contextmenu', function (e) { - e.preventDefault(); - }); - var inBoxSelection = function inBoxSelection() { - return r.selection[4] !== 0; - }; - var eventInContainer = function eventInContainer(e) { - // save cycles if mouse events aren't to be captured - var containerPageCoords = r.findContainerClientCoords(); - var x = containerPageCoords[0]; - var y = containerPageCoords[1]; - var width = containerPageCoords[2]; - var height = containerPageCoords[3]; - var positions = e.touches ? e.touches : [e]; - var atLeastOnePosInside = false; - for (var i = 0; i < positions.length; i++) { - var p = positions[i]; - if (x <= p.clientX && p.clientX <= x + width && y <= p.clientY && p.clientY <= y + height) { - atLeastOnePosInside = true; - break; - } - } - if (!atLeastOnePosInside) { - return false; - } - var container = r.container; - var target = e.target; - var tParent = target.parentNode; - var containerIsTarget = false; - while (tParent) { - if (tParent === container) { - containerIsTarget = true; - break; - } - tParent = tParent.parentNode; - } - if (!containerIsTarget) { - return false; - } // if target is outisde cy container, then this event is not for us - - return true; - }; - - // Primary key - r.registerBinding(r.container, 'mousedown', function mousedownHandler(e) { - if (!eventInContainer(e)) { - return; - } - e.preventDefault(); - blurActiveDomElement(); - r.hoverData.capture = true; - r.hoverData.which = e.which; - var cy = r.cy; - var gpos = [e.clientX, e.clientY]; - var pos = r.projectIntoViewport(gpos[0], gpos[1]); - var select = r.selection; - var nears = r.findNearestElements(pos[0], pos[1], true, false); - var near = nears[0]; - var draggedElements = r.dragData.possibleDragElements; - r.hoverData.mdownPos = pos; - r.hoverData.mdownGPos = gpos; - var checkForTaphold = function checkForTaphold() { - r.hoverData.tapholdCancelled = false; - clearTimeout(r.hoverData.tapholdTimeout); - r.hoverData.tapholdTimeout = setTimeout(function () { - if (r.hoverData.tapholdCancelled) { - return; - } else { - var ele = r.hoverData.down; - if (ele) { - ele.emit({ - originalEvent: e, - type: 'taphold', - position: { - x: pos[0], - y: pos[1] - } - }); - } else { - cy.emit({ - originalEvent: e, - type: 'taphold', - position: { - x: pos[0], - y: pos[1] - } - }); - } - } - }, r.tapholdDuration); - }; - - // Right click button - if (e.which == 3) { - r.hoverData.cxtStarted = true; - var cxtEvt = { - originalEvent: e, - type: 'cxttapstart', - position: { - x: pos[0], - y: pos[1] - } - }; - if (near) { - near.activate(); - near.emit(cxtEvt); - r.hoverData.down = near; - } else { - cy.emit(cxtEvt); - } - r.hoverData.downTime = new Date().getTime(); - r.hoverData.cxtDragged = false; - - // Primary button - } else if (e.which == 1) { - if (near) { - near.activate(); - } - - // Element dragging - { - // If something is under the cursor and it is draggable, prepare to grab it - if (near != null) { - if (r.nodeIsGrabbable(near)) { - var makeEvent = function makeEvent(type) { - return { - originalEvent: e, - type: type, - position: { - x: pos[0], - y: pos[1] - } - }; - }; - var triggerGrab = function triggerGrab(ele) { - ele.emit(makeEvent('grab')); - }; - setGrabTarget(near); - if (!near.selected()) { - draggedElements = r.dragData.possibleDragElements = cy.collection(); - addNodeToDrag(near, { - addToList: draggedElements - }); - near.emit(makeEvent('grabon')).emit(makeEvent('grab')); - } else { - draggedElements = r.dragData.possibleDragElements = cy.collection(); - var selectedNodes = cy.$(function (ele) { - return ele.isNode() && ele.selected() && r.nodeIsGrabbable(ele); - }); - addNodesToDrag(selectedNodes, { - addToList: draggedElements - }); - near.emit(makeEvent('grabon')); - selectedNodes.forEach(triggerGrab); - } - r.redrawHint('eles', true); - r.redrawHint('drag', true); - } - } - r.hoverData.down = near; - r.hoverData.downs = nears; - r.hoverData.downTime = new Date().getTime(); - } - triggerEvents(near, ['mousedown', 'tapstart', 'vmousedown'], e, { - x: pos[0], - y: pos[1] - }); - if (near == null) { - select[4] = 1; - r.data.bgActivePosistion = { - x: pos[0], - y: pos[1] - }; - r.redrawHint('select', true); - r.redraw(); - } else if (near.pannable()) { - select[4] = 1; // for future pan - } - - checkForTaphold(); - } - - // Initialize selection box coordinates - select[0] = select[2] = pos[0]; - select[1] = select[3] = pos[1]; - }, false); - r.registerBinding(containerWindow, 'mousemove', function mousemoveHandler(e) { - // eslint-disable-line no-undef - var capture = r.hoverData.capture; - if (!capture && !eventInContainer(e)) { - return; - } - var preventDefault = false; - var cy = r.cy; - var zoom = cy.zoom(); - var gpos = [e.clientX, e.clientY]; - var pos = r.projectIntoViewport(gpos[0], gpos[1]); - var mdownPos = r.hoverData.mdownPos; - var mdownGPos = r.hoverData.mdownGPos; - var select = r.selection; - var near = null; - if (!r.hoverData.draggingEles && !r.hoverData.dragging && !r.hoverData.selecting) { - near = r.findNearestElement(pos[0], pos[1], true, false); - } - var last = r.hoverData.last; - var down = r.hoverData.down; - var disp = [pos[0] - select[2], pos[1] - select[3]]; - var draggedElements = r.dragData.possibleDragElements; - var isOverThresholdDrag; - if (mdownGPos) { - var dx = gpos[0] - mdownGPos[0]; - var dx2 = dx * dx; - var dy = gpos[1] - mdownGPos[1]; - var dy2 = dy * dy; - var dist2 = dx2 + dy2; - r.hoverData.isOverThresholdDrag = isOverThresholdDrag = dist2 >= r.desktopTapThreshold2; - } - var multSelKeyDown = isMultSelKeyDown(e); - if (isOverThresholdDrag) { - r.hoverData.tapholdCancelled = true; - } - var updateDragDelta = function updateDragDelta() { - var dragDelta = r.hoverData.dragDelta = r.hoverData.dragDelta || []; - if (dragDelta.length === 0) { - dragDelta.push(disp[0]); - dragDelta.push(disp[1]); - } else { - dragDelta[0] += disp[0]; - dragDelta[1] += disp[1]; - } - }; - preventDefault = true; - triggerEvents(near, ['mousemove', 'vmousemove', 'tapdrag'], e, { - x: pos[0], - y: pos[1] - }); - var goIntoBoxMode = function goIntoBoxMode() { - r.data.bgActivePosistion = undefined; - if (!r.hoverData.selecting) { - cy.emit({ - originalEvent: e, - type: 'boxstart', - position: { - x: pos[0], - y: pos[1] - } - }); - } - select[4] = 1; - r.hoverData.selecting = true; - r.redrawHint('select', true); - r.redraw(); - }; - - // trigger context drag if rmouse down - if (r.hoverData.which === 3) { - // but only if over threshold - if (isOverThresholdDrag) { - var cxtEvt = { - originalEvent: e, - type: 'cxtdrag', - position: { - x: pos[0], - y: pos[1] - } - }; - if (down) { - down.emit(cxtEvt); - } else { - cy.emit(cxtEvt); - } - r.hoverData.cxtDragged = true; - if (!r.hoverData.cxtOver || near !== r.hoverData.cxtOver) { - if (r.hoverData.cxtOver) { - r.hoverData.cxtOver.emit({ - originalEvent: e, - type: 'cxtdragout', - position: { - x: pos[0], - y: pos[1] - } - }); - } - r.hoverData.cxtOver = near; - if (near) { - near.emit({ - originalEvent: e, - type: 'cxtdragover', - position: { - x: pos[0], - y: pos[1] - } - }); - } - } - } - - // Check if we are drag panning the entire graph - } else if (r.hoverData.dragging) { - preventDefault = true; - if (cy.panningEnabled() && cy.userPanningEnabled()) { - var deltaP; - if (r.hoverData.justStartedPan) { - var mdPos = r.hoverData.mdownPos; - deltaP = { - x: (pos[0] - mdPos[0]) * zoom, - y: (pos[1] - mdPos[1]) * zoom - }; - r.hoverData.justStartedPan = false; - } else { - deltaP = { - x: disp[0] * zoom, - y: disp[1] * zoom - }; - } - cy.panBy(deltaP); - cy.emit('dragpan'); - r.hoverData.dragged = true; - } - - // Needs reproject due to pan changing viewport - pos = r.projectIntoViewport(e.clientX, e.clientY); - - // Checks primary button down & out of time & mouse not moved much - } else if (select[4] == 1 && (down == null || down.pannable())) { - if (isOverThresholdDrag) { - if (!r.hoverData.dragging && cy.boxSelectionEnabled() && (multSelKeyDown || !cy.panningEnabled() || !cy.userPanningEnabled())) { - goIntoBoxMode(); - } else if (!r.hoverData.selecting && cy.panningEnabled() && cy.userPanningEnabled()) { - var allowPassthrough = allowPanningPassthrough(down, r.hoverData.downs); - if (allowPassthrough) { - r.hoverData.dragging = true; - r.hoverData.justStartedPan = true; - select[4] = 0; - r.data.bgActivePosistion = array2point(mdownPos); - r.redrawHint('select', true); - r.redraw(); - } - } - if (down && down.pannable() && down.active()) { - down.unactivate(); - } - } - } else { - if (down && down.pannable() && down.active()) { - down.unactivate(); - } - if ((!down || !down.grabbed()) && near != last) { - if (last) { - triggerEvents(last, ['mouseout', 'tapdragout'], e, { - x: pos[0], - y: pos[1] - }); - } - if (near) { - triggerEvents(near, ['mouseover', 'tapdragover'], e, { - x: pos[0], - y: pos[1] - }); - } - r.hoverData.last = near; - } - if (down) { - if (isOverThresholdDrag) { - // then we can take action - - if (cy.boxSelectionEnabled() && multSelKeyDown) { - // then selection overrides - if (down && down.grabbed()) { - freeDraggedElements(draggedElements); - down.emit('freeon'); - draggedElements.emit('free'); - if (r.dragData.didDrag) { - down.emit('dragfreeon'); - draggedElements.emit('dragfree'); - } - } - goIntoBoxMode(); - } else if (down && down.grabbed() && r.nodeIsDraggable(down)) { - // drag node - var justStartedDrag = !r.dragData.didDrag; - if (justStartedDrag) { - r.redrawHint('eles', true); - } - r.dragData.didDrag = true; // indicate that we actually did drag the node - - // now, add the elements to the drag layer if not done already - if (!r.hoverData.draggingEles) { - addNodesToDrag(draggedElements, { - inDragLayer: true - }); - } - var totalShift = { - x: 0, - y: 0 - }; - if (number$1(disp[0]) && number$1(disp[1])) { - totalShift.x += disp[0]; - totalShift.y += disp[1]; - if (justStartedDrag) { - var dragDelta = r.hoverData.dragDelta; - if (dragDelta && number$1(dragDelta[0]) && number$1(dragDelta[1])) { - totalShift.x += dragDelta[0]; - totalShift.y += dragDelta[1]; - } - } - } - r.hoverData.draggingEles = true; - draggedElements.silentShift(totalShift).emit('position drag'); - r.redrawHint('drag', true); - r.redraw(); - } - } else { - // otherwise save drag delta for when we actually start dragging so the relative grab pos is constant - updateDragDelta(); - } - } - - // prevent the dragging from triggering text selection on the page - preventDefault = true; - } - select[2] = pos[0]; - select[3] = pos[1]; - if (preventDefault) { - if (e.stopPropagation) e.stopPropagation(); - if (e.preventDefault) e.preventDefault(); - return false; - } - }, false); - var clickTimeout, didDoubleClick, prevClickTimeStamp; - r.registerBinding(containerWindow, 'mouseup', function mouseupHandler(e) { - // eslint-disable-line no-undef - var capture = r.hoverData.capture; - if (!capture) { - return; - } - r.hoverData.capture = false; - var cy = r.cy; - var pos = r.projectIntoViewport(e.clientX, e.clientY); - var select = r.selection; - var near = r.findNearestElement(pos[0], pos[1], true, false); - var draggedElements = r.dragData.possibleDragElements; - var down = r.hoverData.down; - var multSelKeyDown = isMultSelKeyDown(e); - if (r.data.bgActivePosistion) { - r.redrawHint('select', true); - r.redraw(); - } - r.hoverData.tapholdCancelled = true; - r.data.bgActivePosistion = undefined; // not active bg now - - if (down) { - down.unactivate(); - } - if (r.hoverData.which === 3) { - var cxtEvt = { - originalEvent: e, - type: 'cxttapend', - position: { - x: pos[0], - y: pos[1] - } - }; - if (down) { - down.emit(cxtEvt); - } else { - cy.emit(cxtEvt); - } - if (!r.hoverData.cxtDragged) { - var cxtTap = { - originalEvent: e, - type: 'cxttap', - position: { - x: pos[0], - y: pos[1] - } - }; - if (down) { - down.emit(cxtTap); - } else { - cy.emit(cxtTap); - } - } - r.hoverData.cxtDragged = false; - r.hoverData.which = null; - } else if (r.hoverData.which === 1) { - triggerEvents(near, ['mouseup', 'tapend', 'vmouseup'], e, { - x: pos[0], - y: pos[1] - }); - if (!r.dragData.didDrag && - // didn't move a node around - !r.hoverData.dragged && - // didn't pan - !r.hoverData.selecting && - // not box selection - !r.hoverData.isOverThresholdDrag // didn't move too much - ) { - triggerEvents(down, ["click", "tap", "vclick"], e, { - x: pos[0], - y: pos[1] - }); - didDoubleClick = false; - if (e.timeStamp - prevClickTimeStamp <= cy.multiClickDebounceTime()) { - clickTimeout && clearTimeout(clickTimeout); - didDoubleClick = true; - prevClickTimeStamp = null; - triggerEvents(down, ["dblclick", "dbltap", "vdblclick"], e, { - x: pos[0], - y: pos[1] - }); - } else { - clickTimeout = setTimeout(function () { - if (didDoubleClick) return; - triggerEvents(down, ["oneclick", "onetap", "voneclick"], e, { - x: pos[0], - y: pos[1] - }); - }, cy.multiClickDebounceTime()); - prevClickTimeStamp = e.timeStamp; - } - } - - // Deselect all elements if nothing is currently under the mouse cursor and we aren't dragging something - if (down == null // not mousedown on node - && !r.dragData.didDrag // didn't move the node around - && !r.hoverData.selecting // not box selection - && !r.hoverData.dragged // didn't pan - && !isMultSelKeyDown(e)) { - cy.$(isSelected).unselect(['tapunselect']); - if (draggedElements.length > 0) { - r.redrawHint('eles', true); - } - r.dragData.possibleDragElements = draggedElements = cy.collection(); - } - - // Single selection - if (near == down && !r.dragData.didDrag && !r.hoverData.selecting) { - if (near != null && near._private.selectable) { - if (r.hoverData.dragging) ; else if (cy.selectionType() === 'additive' || multSelKeyDown) { - if (near.selected()) { - near.unselect(['tapunselect']); - } else { - near.select(['tapselect']); - } - } else { - if (!multSelKeyDown) { - cy.$(isSelected).unmerge(near).unselect(['tapunselect']); - near.select(['tapselect']); - } - } - r.redrawHint('eles', true); - } - } - if (r.hoverData.selecting) { - var box = cy.collection(r.getAllInBox(select[0], select[1], select[2], select[3])); - r.redrawHint('select', true); - if (box.length > 0) { - r.redrawHint('eles', true); - } - cy.emit({ - type: 'boxend', - originalEvent: e, - position: { - x: pos[0], - y: pos[1] - } - }); - var eleWouldBeSelected = function eleWouldBeSelected(ele) { - return ele.selectable() && !ele.selected(); - }; - if (cy.selectionType() === 'additive') { - box.emit('box').stdFilter(eleWouldBeSelected).select().emit('boxselect'); - } else { - if (!multSelKeyDown) { - cy.$(isSelected).unmerge(box).unselect(); - } - box.emit('box').stdFilter(eleWouldBeSelected).select().emit('boxselect'); - } - - // always need redraw in case eles unselectable - r.redraw(); - } - - // Cancel drag pan - if (r.hoverData.dragging) { - r.hoverData.dragging = false; - r.redrawHint('select', true); - r.redrawHint('eles', true); - r.redraw(); - } - if (!select[4]) { - r.redrawHint('drag', true); - r.redrawHint('eles', true); - var downWasGrabbed = down && down.grabbed(); - freeDraggedElements(draggedElements); - if (downWasGrabbed) { - down.emit('freeon'); - draggedElements.emit('free'); - if (r.dragData.didDrag) { - down.emit('dragfreeon'); - draggedElements.emit('dragfree'); - } - } - } - } // else not right mouse - - select[4] = 0; - r.hoverData.down = null; - r.hoverData.cxtStarted = false; - r.hoverData.draggingEles = false; - r.hoverData.selecting = false; - r.hoverData.isOverThresholdDrag = false; - r.dragData.didDrag = false; - r.hoverData.dragged = false; - r.hoverData.dragDelta = []; - r.hoverData.mdownPos = null; - r.hoverData.mdownGPos = null; - }, false); - var wheelHandler = function wheelHandler(e) { - if (r.scrollingPage) { - return; - } // while scrolling, ignore wheel-to-zoom - - var cy = r.cy; - var zoom = cy.zoom(); - var pan = cy.pan(); - var pos = r.projectIntoViewport(e.clientX, e.clientY); - var rpos = [pos[0] * zoom + pan.x, pos[1] * zoom + pan.y]; - if (r.hoverData.draggingEles || r.hoverData.dragging || r.hoverData.cxtStarted || inBoxSelection()) { - // if pan dragging or cxt dragging, wheel movements make no zoom - e.preventDefault(); - return; - } - if (cy.panningEnabled() && cy.userPanningEnabled() && cy.zoomingEnabled() && cy.userZoomingEnabled()) { - e.preventDefault(); - r.data.wheelZooming = true; - clearTimeout(r.data.wheelTimeout); - r.data.wheelTimeout = setTimeout(function () { - r.data.wheelZooming = false; - r.redrawHint('eles', true); - r.redraw(); - }, 150); - var diff; - if (e.deltaY != null) { - diff = e.deltaY / -250; - } else if (e.wheelDeltaY != null) { - diff = e.wheelDeltaY / 1000; - } else { - diff = e.wheelDelta / 1000; - } - diff = diff * r.wheelSensitivity; - var needsWheelFix = e.deltaMode === 1; - if (needsWheelFix) { - // fixes slow wheel events on ff/linux and ff/windows - diff *= 33; - } - var newZoom = cy.zoom() * Math.pow(10, diff); - if (e.type === 'gesturechange') { - newZoom = r.gestureStartZoom * e.scale; - } - cy.zoom({ - level: newZoom, - renderedPosition: { - x: rpos[0], - y: rpos[1] - } - }); - cy.emit(e.type === 'gesturechange' ? 'pinchzoom' : 'scrollzoom'); - } - }; - - // Functions to help with whether mouse wheel should trigger zooming - // -- - r.registerBinding(r.container, 'wheel', wheelHandler, true); - - // disable nonstandard wheel events - // r.registerBinding(r.container, 'mousewheel', wheelHandler, true); - // r.registerBinding(r.container, 'DOMMouseScroll', wheelHandler, true); - // r.registerBinding(r.container, 'MozMousePixelScroll', wheelHandler, true); // older firefox - - r.registerBinding(containerWindow, 'scroll', function scrollHandler(e) { - // eslint-disable-line no-unused-vars - r.scrollingPage = true; - clearTimeout(r.scrollingPageTimeout); - r.scrollingPageTimeout = setTimeout(function () { - r.scrollingPage = false; - }, 250); - }, true); - - // desktop safari pinch to zoom start - r.registerBinding(r.container, 'gesturestart', function gestureStartHandler(e) { - r.gestureStartZoom = r.cy.zoom(); - if (!r.hasTouchStarted) { - // don't affect touch devices like iphone - e.preventDefault(); - } - }, true); - r.registerBinding(r.container, 'gesturechange', function (e) { - if (!r.hasTouchStarted) { - // don't affect touch devices like iphone - wheelHandler(e); - } - }, true); - - // Functions to help with handling mouseout/mouseover on the Cytoscape container - // Handle mouseout on Cytoscape container - r.registerBinding(r.container, 'mouseout', function mouseOutHandler(e) { - var pos = r.projectIntoViewport(e.clientX, e.clientY); - r.cy.emit({ - originalEvent: e, - type: 'mouseout', - position: { - x: pos[0], - y: pos[1] - } - }); - }, false); - r.registerBinding(r.container, 'mouseover', function mouseOverHandler(e) { - var pos = r.projectIntoViewport(e.clientX, e.clientY); - r.cy.emit({ - originalEvent: e, - type: 'mouseover', - position: { - x: pos[0], - y: pos[1] - } - }); - }, false); - var f1x1, f1y1, f2x1, f2y1; // starting points for pinch-to-zoom - var distance1, distance1Sq; // initial distance between finger 1 and finger 2 for pinch-to-zoom - var center1, modelCenter1; // center point on start pinch to zoom - var offsetLeft, offsetTop; - var containerWidth, containerHeight; - var twoFingersStartInside; - var distance = function distance(x1, y1, x2, y2) { - return Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1)); - }; - var distanceSq = function distanceSq(x1, y1, x2, y2) { - return (x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1); - }; - var touchstartHandler; - r.registerBinding(r.container, 'touchstart', touchstartHandler = function touchstartHandler(e) { - r.hasTouchStarted = true; - if (!eventInContainer(e)) { - return; - } - blurActiveDomElement(); - r.touchData.capture = true; - r.data.bgActivePosistion = undefined; - var cy = r.cy; - var now = r.touchData.now; - var earlier = r.touchData.earlier; - if (e.touches[0]) { - var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); - now[0] = pos[0]; - now[1] = pos[1]; - } - if (e.touches[1]) { - var pos = r.projectIntoViewport(e.touches[1].clientX, e.touches[1].clientY); - now[2] = pos[0]; - now[3] = pos[1]; - } - if (e.touches[2]) { - var pos = r.projectIntoViewport(e.touches[2].clientX, e.touches[2].clientY); - now[4] = pos[0]; - now[5] = pos[1]; - } - - // record starting points for pinch-to-zoom - if (e.touches[1]) { - r.touchData.singleTouchMoved = true; - freeDraggedElements(r.dragData.touchDragEles); - var offsets = r.findContainerClientCoords(); - offsetLeft = offsets[0]; - offsetTop = offsets[1]; - containerWidth = offsets[2]; - containerHeight = offsets[3]; - f1x1 = e.touches[0].clientX - offsetLeft; - f1y1 = e.touches[0].clientY - offsetTop; - f2x1 = e.touches[1].clientX - offsetLeft; - f2y1 = e.touches[1].clientY - offsetTop; - twoFingersStartInside = 0 <= f1x1 && f1x1 <= containerWidth && 0 <= f2x1 && f2x1 <= containerWidth && 0 <= f1y1 && f1y1 <= containerHeight && 0 <= f2y1 && f2y1 <= containerHeight; - var pan = cy.pan(); - var zoom = cy.zoom(); - distance1 = distance(f1x1, f1y1, f2x1, f2y1); - distance1Sq = distanceSq(f1x1, f1y1, f2x1, f2y1); - center1 = [(f1x1 + f2x1) / 2, (f1y1 + f2y1) / 2]; - modelCenter1 = [(center1[0] - pan.x) / zoom, (center1[1] - pan.y) / zoom]; - - // consider context tap - var cxtDistThreshold = 200; - var cxtDistThresholdSq = cxtDistThreshold * cxtDistThreshold; - if (distance1Sq < cxtDistThresholdSq && !e.touches[2]) { - var near1 = r.findNearestElement(now[0], now[1], true, true); - var near2 = r.findNearestElement(now[2], now[3], true, true); - if (near1 && near1.isNode()) { - near1.activate().emit({ - originalEvent: e, - type: 'cxttapstart', - position: { - x: now[0], - y: now[1] - } - }); - r.touchData.start = near1; - } else if (near2 && near2.isNode()) { - near2.activate().emit({ - originalEvent: e, - type: 'cxttapstart', - position: { - x: now[0], - y: now[1] - } - }); - r.touchData.start = near2; - } else { - cy.emit({ - originalEvent: e, - type: 'cxttapstart', - position: { - x: now[0], - y: now[1] - } - }); - } - if (r.touchData.start) { - r.touchData.start._private.grabbed = false; - } - r.touchData.cxt = true; - r.touchData.cxtDragged = false; - r.data.bgActivePosistion = undefined; - r.redraw(); - return; - } - } - if (e.touches[2]) { - // ignore - - // safari on ios pans the page otherwise (normally you should be able to preventdefault on touchmove...) - if (cy.boxSelectionEnabled()) { - e.preventDefault(); - } - } else if (e.touches[1]) ; else if (e.touches[0]) { - var nears = r.findNearestElements(now[0], now[1], true, true); - var near = nears[0]; - if (near != null) { - near.activate(); - r.touchData.start = near; - r.touchData.starts = nears; - if (r.nodeIsGrabbable(near)) { - var draggedEles = r.dragData.touchDragEles = cy.collection(); - var selectedNodes = null; - r.redrawHint('eles', true); - r.redrawHint('drag', true); - if (near.selected()) { - // reset drag elements, since near will be added again - - selectedNodes = cy.$(function (ele) { - return ele.selected() && r.nodeIsGrabbable(ele); - }); - addNodesToDrag(selectedNodes, { - addToList: draggedEles - }); - } else { - addNodeToDrag(near, { - addToList: draggedEles - }); - } - setGrabTarget(near); - var makeEvent = function makeEvent(type) { - return { - originalEvent: e, - type: type, - position: { - x: now[0], - y: now[1] - } - }; - }; - near.emit(makeEvent('grabon')); - if (selectedNodes) { - selectedNodes.forEach(function (n) { - n.emit(makeEvent('grab')); - }); - } else { - near.emit(makeEvent('grab')); - } - } - } - triggerEvents(near, ['touchstart', 'tapstart', 'vmousedown'], e, { - x: now[0], - y: now[1] - }); - if (near == null) { - r.data.bgActivePosistion = { - x: pos[0], - y: pos[1] - }; - r.redrawHint('select', true); - r.redraw(); - } - - // Tap, taphold - // ----- - - r.touchData.singleTouchMoved = false; - r.touchData.singleTouchStartTime = +new Date(); - clearTimeout(r.touchData.tapholdTimeout); - r.touchData.tapholdTimeout = setTimeout(function () { - if (r.touchData.singleTouchMoved === false && !r.pinching // if pinching, then taphold unselect shouldn't take effect - && !r.touchData.selecting // box selection shouldn't allow taphold through - ) { - triggerEvents(r.touchData.start, ['taphold'], e, { - x: now[0], - y: now[1] - }); - } - }, r.tapholdDuration); - } - if (e.touches.length >= 1) { - var sPos = r.touchData.startPosition = [null, null, null, null, null, null]; - for (var i = 0; i < now.length; i++) { - sPos[i] = earlier[i] = now[i]; - } - var touch0 = e.touches[0]; - r.touchData.startGPosition = [touch0.clientX, touch0.clientY]; - } - }, false); - var touchmoveHandler; - r.registerBinding(window, 'touchmove', touchmoveHandler = function touchmoveHandler(e) { - // eslint-disable-line no-undef - var capture = r.touchData.capture; - if (!capture && !eventInContainer(e)) { - return; - } - var select = r.selection; - var cy = r.cy; - var now = r.touchData.now; - var earlier = r.touchData.earlier; - var zoom = cy.zoom(); - if (e.touches[0]) { - var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); - now[0] = pos[0]; - now[1] = pos[1]; - } - if (e.touches[1]) { - var pos = r.projectIntoViewport(e.touches[1].clientX, e.touches[1].clientY); - now[2] = pos[0]; - now[3] = pos[1]; - } - if (e.touches[2]) { - var pos = r.projectIntoViewport(e.touches[2].clientX, e.touches[2].clientY); - now[4] = pos[0]; - now[5] = pos[1]; - } - var startGPos = r.touchData.startGPosition; - var isOverThresholdDrag; - if (capture && e.touches[0] && startGPos) { - var disp = []; - for (var j = 0; j < now.length; j++) { - disp[j] = now[j] - earlier[j]; - } - var dx = e.touches[0].clientX - startGPos[0]; - var dx2 = dx * dx; - var dy = e.touches[0].clientY - startGPos[1]; - var dy2 = dy * dy; - var dist2 = dx2 + dy2; - isOverThresholdDrag = dist2 >= r.touchTapThreshold2; - } - - // context swipe cancelling - if (capture && r.touchData.cxt) { - e.preventDefault(); - var f1x2 = e.touches[0].clientX - offsetLeft, - f1y2 = e.touches[0].clientY - offsetTop; - var f2x2 = e.touches[1].clientX - offsetLeft, - f2y2 = e.touches[1].clientY - offsetTop; - // var distance2 = distance( f1x2, f1y2, f2x2, f2y2 ); - var distance2Sq = distanceSq(f1x2, f1y2, f2x2, f2y2); - var factorSq = distance2Sq / distance1Sq; - var distThreshold = 150; - var distThresholdSq = distThreshold * distThreshold; - var factorThreshold = 1.5; - var factorThresholdSq = factorThreshold * factorThreshold; - - // cancel ctx gestures if the distance b/t the fingers increases - if (factorSq >= factorThresholdSq || distance2Sq >= distThresholdSq) { - r.touchData.cxt = false; - r.data.bgActivePosistion = undefined; - r.redrawHint('select', true); - var cxtEvt = { - originalEvent: e, - type: 'cxttapend', - position: { - x: now[0], - y: now[1] - } - }; - if (r.touchData.start) { - r.touchData.start.unactivate().emit(cxtEvt); - r.touchData.start = null; - } else { - cy.emit(cxtEvt); - } - } - } - - // context swipe - if (capture && r.touchData.cxt) { - var cxtEvt = { - originalEvent: e, - type: 'cxtdrag', - position: { - x: now[0], - y: now[1] - } - }; - r.data.bgActivePosistion = undefined; - r.redrawHint('select', true); - if (r.touchData.start) { - r.touchData.start.emit(cxtEvt); - } else { - cy.emit(cxtEvt); - } - if (r.touchData.start) { - r.touchData.start._private.grabbed = false; - } - r.touchData.cxtDragged = true; - var near = r.findNearestElement(now[0], now[1], true, true); - if (!r.touchData.cxtOver || near !== r.touchData.cxtOver) { - if (r.touchData.cxtOver) { - r.touchData.cxtOver.emit({ - originalEvent: e, - type: 'cxtdragout', - position: { - x: now[0], - y: now[1] - } - }); - } - r.touchData.cxtOver = near; - if (near) { - near.emit({ - originalEvent: e, - type: 'cxtdragover', - position: { - x: now[0], - y: now[1] - } - }); - } - } - - // box selection - } else if (capture && e.touches[2] && cy.boxSelectionEnabled()) { - e.preventDefault(); - r.data.bgActivePosistion = undefined; - this.lastThreeTouch = +new Date(); - if (!r.touchData.selecting) { - cy.emit({ - originalEvent: e, - type: 'boxstart', - position: { - x: now[0], - y: now[1] - } - }); - } - r.touchData.selecting = true; - r.touchData.didSelect = true; - select[4] = 1; - if (!select || select.length === 0 || select[0] === undefined) { - select[0] = (now[0] + now[2] + now[4]) / 3; - select[1] = (now[1] + now[3] + now[5]) / 3; - select[2] = (now[0] + now[2] + now[4]) / 3 + 1; - select[3] = (now[1] + now[3] + now[5]) / 3 + 1; - } else { - select[2] = (now[0] + now[2] + now[4]) / 3; - select[3] = (now[1] + now[3] + now[5]) / 3; - } - r.redrawHint('select', true); - r.redraw(); - - // pinch to zoom - } else if (capture && e.touches[1] && !r.touchData.didSelect // don't allow box selection to degrade to pinch-to-zoom - && cy.zoomingEnabled() && cy.panningEnabled() && cy.userZoomingEnabled() && cy.userPanningEnabled()) { - // two fingers => pinch to zoom - e.preventDefault(); - r.data.bgActivePosistion = undefined; - r.redrawHint('select', true); - var draggedEles = r.dragData.touchDragEles; - if (draggedEles) { - r.redrawHint('drag', true); - for (var i = 0; i < draggedEles.length; i++) { - var de_p = draggedEles[i]._private; - de_p.grabbed = false; - de_p.rscratch.inDragLayer = false; - } - } - var _start = r.touchData.start; - - // (x2, y2) for fingers 1 and 2 - var f1x2 = e.touches[0].clientX - offsetLeft, - f1y2 = e.touches[0].clientY - offsetTop; - var f2x2 = e.touches[1].clientX - offsetLeft, - f2y2 = e.touches[1].clientY - offsetTop; - var distance2 = distance(f1x2, f1y2, f2x2, f2y2); - // var distance2Sq = distanceSq( f1x2, f1y2, f2x2, f2y2 ); - // var factor = Math.sqrt( distance2Sq ) / Math.sqrt( distance1Sq ); - var factor = distance2 / distance1; - if (twoFingersStartInside) { - // delta finger1 - var df1x = f1x2 - f1x1; - var df1y = f1y2 - f1y1; - - // delta finger 2 - var df2x = f2x2 - f2x1; - var df2y = f2y2 - f2y1; - - // translation is the normalised vector of the two fingers movement - // i.e. so pinching cancels out and moving together pans - var tx = (df1x + df2x) / 2; - var ty = (df1y + df2y) / 2; - - // now calculate the zoom - var zoom1 = cy.zoom(); - var zoom2 = zoom1 * factor; - var pan1 = cy.pan(); - - // the model center point converted to the current rendered pos - var ctrx = modelCenter1[0] * zoom1 + pan1.x; - var ctry = modelCenter1[1] * zoom1 + pan1.y; - var pan2 = { - x: -zoom2 / zoom1 * (ctrx - pan1.x - tx) + ctrx, - y: -zoom2 / zoom1 * (ctry - pan1.y - ty) + ctry - }; - - // remove dragged eles - if (_start && _start.active()) { - var draggedEles = r.dragData.touchDragEles; - freeDraggedElements(draggedEles); - r.redrawHint('drag', true); - r.redrawHint('eles', true); - _start.unactivate().emit('freeon'); - draggedEles.emit('free'); - if (r.dragData.didDrag) { - _start.emit('dragfreeon'); - draggedEles.emit('dragfree'); - } - } - cy.viewport({ - zoom: zoom2, - pan: pan2, - cancelOnFailedZoom: true - }); - cy.emit('pinchzoom'); - distance1 = distance2; - f1x1 = f1x2; - f1y1 = f1y2; - f2x1 = f2x2; - f2y1 = f2y2; - r.pinching = true; - } - - // Re-project - if (e.touches[0]) { - var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); - now[0] = pos[0]; - now[1] = pos[1]; - } - if (e.touches[1]) { - var pos = r.projectIntoViewport(e.touches[1].clientX, e.touches[1].clientY); - now[2] = pos[0]; - now[3] = pos[1]; - } - if (e.touches[2]) { - var pos = r.projectIntoViewport(e.touches[2].clientX, e.touches[2].clientY); - now[4] = pos[0]; - now[5] = pos[1]; - } - } else if (e.touches[0] && !r.touchData.didSelect // don't allow box selection to degrade to single finger events like panning - ) { - var start = r.touchData.start; - var last = r.touchData.last; - var near; - if (!r.hoverData.draggingEles && !r.swipePanning) { - near = r.findNearestElement(now[0], now[1], true, true); - } - if (capture && start != null) { - e.preventDefault(); - } - - // dragging nodes - if (capture && start != null && r.nodeIsDraggable(start)) { - if (isOverThresholdDrag) { - // then dragging can happen - var draggedEles = r.dragData.touchDragEles; - var justStartedDrag = !r.dragData.didDrag; - if (justStartedDrag) { - addNodesToDrag(draggedEles, { - inDragLayer: true - }); - } - r.dragData.didDrag = true; - var totalShift = { - x: 0, - y: 0 - }; - if (number$1(disp[0]) && number$1(disp[1])) { - totalShift.x += disp[0]; - totalShift.y += disp[1]; - if (justStartedDrag) { - r.redrawHint('eles', true); - var dragDelta = r.touchData.dragDelta; - if (dragDelta && number$1(dragDelta[0]) && number$1(dragDelta[1])) { - totalShift.x += dragDelta[0]; - totalShift.y += dragDelta[1]; - } - } - } - r.hoverData.draggingEles = true; - draggedEles.silentShift(totalShift).emit('position drag'); - r.redrawHint('drag', true); - if (r.touchData.startPosition[0] == earlier[0] && r.touchData.startPosition[1] == earlier[1]) { - r.redrawHint('eles', true); - } - r.redraw(); - } else { - // otherwise keep track of drag delta for later - var dragDelta = r.touchData.dragDelta = r.touchData.dragDelta || []; - if (dragDelta.length === 0) { - dragDelta.push(disp[0]); - dragDelta.push(disp[1]); - } else { - dragDelta[0] += disp[0]; - dragDelta[1] += disp[1]; - } - } - } - - // touchmove - { - triggerEvents(start || near, ['touchmove', 'tapdrag', 'vmousemove'], e, { - x: now[0], - y: now[1] - }); - if ((!start || !start.grabbed()) && near != last) { - if (last) { - last.emit({ - originalEvent: e, - type: 'tapdragout', - position: { - x: now[0], - y: now[1] - } - }); - } - if (near) { - near.emit({ - originalEvent: e, - type: 'tapdragover', - position: { - x: now[0], - y: now[1] - } - }); - } - } - r.touchData.last = near; - } - - // check to cancel taphold - if (capture) { - for (var i = 0; i < now.length; i++) { - if (now[i] && r.touchData.startPosition[i] && isOverThresholdDrag) { - r.touchData.singleTouchMoved = true; - } - } - } - - // panning - if (capture && (start == null || start.pannable()) && cy.panningEnabled() && cy.userPanningEnabled()) { - var allowPassthrough = allowPanningPassthrough(start, r.touchData.starts); - if (allowPassthrough) { - e.preventDefault(); - if (!r.data.bgActivePosistion) { - r.data.bgActivePosistion = array2point(r.touchData.startPosition); - } - if (r.swipePanning) { - cy.panBy({ - x: disp[0] * zoom, - y: disp[1] * zoom - }); - cy.emit('dragpan'); - } else if (isOverThresholdDrag) { - r.swipePanning = true; - cy.panBy({ - x: dx * zoom, - y: dy * zoom - }); - cy.emit('dragpan'); - if (start) { - start.unactivate(); - r.redrawHint('select', true); - r.touchData.start = null; - } - } - } - - // Re-project - var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); - now[0] = pos[0]; - now[1] = pos[1]; - } - } - for (var j = 0; j < now.length; j++) { - earlier[j] = now[j]; - } - - // the active bg indicator should be removed when making a swipe that is neither for dragging nodes or panning - if (capture && e.touches.length > 0 && !r.hoverData.draggingEles && !r.swipePanning && r.data.bgActivePosistion != null) { - r.data.bgActivePosistion = undefined; - r.redrawHint('select', true); - r.redraw(); - } - }, false); - var touchcancelHandler; - r.registerBinding(containerWindow, 'touchcancel', touchcancelHandler = function touchcancelHandler(e) { - // eslint-disable-line no-unused-vars - var start = r.touchData.start; - r.touchData.capture = false; - if (start) { - start.unactivate(); - } - }); - var touchendHandler, didDoubleTouch, touchTimeout, prevTouchTimeStamp; - r.registerBinding(containerWindow, 'touchend', touchendHandler = function touchendHandler(e) { - // eslint-disable-line no-unused-vars - var start = r.touchData.start; - var capture = r.touchData.capture; - if (capture) { - if (e.touches.length === 0) { - r.touchData.capture = false; - } - e.preventDefault(); - } else { - return; - } - var select = r.selection; - r.swipePanning = false; - r.hoverData.draggingEles = false; - var cy = r.cy; - var zoom = cy.zoom(); - var now = r.touchData.now; - var earlier = r.touchData.earlier; - if (e.touches[0]) { - var pos = r.projectIntoViewport(e.touches[0].clientX, e.touches[0].clientY); - now[0] = pos[0]; - now[1] = pos[1]; - } - if (e.touches[1]) { - var pos = r.projectIntoViewport(e.touches[1].clientX, e.touches[1].clientY); - now[2] = pos[0]; - now[3] = pos[1]; - } - if (e.touches[2]) { - var pos = r.projectIntoViewport(e.touches[2].clientX, e.touches[2].clientY); - now[4] = pos[0]; - now[5] = pos[1]; - } - if (start) { - start.unactivate(); - } - var ctxTapend; - if (r.touchData.cxt) { - ctxTapend = { - originalEvent: e, - type: 'cxttapend', - position: { - x: now[0], - y: now[1] - } - }; - if (start) { - start.emit(ctxTapend); - } else { - cy.emit(ctxTapend); - } - if (!r.touchData.cxtDragged) { - var ctxTap = { - originalEvent: e, - type: 'cxttap', - position: { - x: now[0], - y: now[1] - } - }; - if (start) { - start.emit(ctxTap); - } else { - cy.emit(ctxTap); - } - } - if (r.touchData.start) { - r.touchData.start._private.grabbed = false; - } - r.touchData.cxt = false; - r.touchData.start = null; - r.redraw(); - return; - } - - // no more box selection if we don't have three fingers - if (!e.touches[2] && cy.boxSelectionEnabled() && r.touchData.selecting) { - r.touchData.selecting = false; - var box = cy.collection(r.getAllInBox(select[0], select[1], select[2], select[3])); - select[0] = undefined; - select[1] = undefined; - select[2] = undefined; - select[3] = undefined; - select[4] = 0; - r.redrawHint('select', true); - cy.emit({ - type: 'boxend', - originalEvent: e, - position: { - x: now[0], - y: now[1] - } - }); - var eleWouldBeSelected = function eleWouldBeSelected(ele) { - return ele.selectable() && !ele.selected(); - }; - box.emit('box').stdFilter(eleWouldBeSelected).select().emit('boxselect'); - if (box.nonempty()) { - r.redrawHint('eles', true); - } - r.redraw(); - } - if (start != null) { - start.unactivate(); - } - if (e.touches[2]) { - r.data.bgActivePosistion = undefined; - r.redrawHint('select', true); - } else if (e.touches[1]) ; else if (e.touches[0]) ; else if (!e.touches[0]) { - r.data.bgActivePosistion = undefined; - r.redrawHint('select', true); - var draggedEles = r.dragData.touchDragEles; - if (start != null) { - var startWasGrabbed = start._private.grabbed; - freeDraggedElements(draggedEles); - r.redrawHint('drag', true); - r.redrawHint('eles', true); - if (startWasGrabbed) { - start.emit('freeon'); - draggedEles.emit('free'); - if (r.dragData.didDrag) { - start.emit('dragfreeon'); - draggedEles.emit('dragfree'); - } - } - triggerEvents(start, ['touchend', 'tapend', 'vmouseup', 'tapdragout'], e, { - x: now[0], - y: now[1] - }); - start.unactivate(); - r.touchData.start = null; - } else { - var near = r.findNearestElement(now[0], now[1], true, true); - triggerEvents(near, ['touchend', 'tapend', 'vmouseup', 'tapdragout'], e, { - x: now[0], - y: now[1] - }); - } - var dx = r.touchData.startPosition[0] - now[0]; - var dx2 = dx * dx; - var dy = r.touchData.startPosition[1] - now[1]; - var dy2 = dy * dy; - var dist2 = dx2 + dy2; - var rdist2 = dist2 * zoom * zoom; - - // Tap event, roughly same as mouse click event for touch - if (!r.touchData.singleTouchMoved) { - if (!start) { - cy.$(':selected').unselect(['tapunselect']); - } - triggerEvents(start, ['tap', 'vclick'], e, { - x: now[0], - y: now[1] - }); - didDoubleTouch = false; - if (e.timeStamp - prevTouchTimeStamp <= cy.multiClickDebounceTime()) { - touchTimeout && clearTimeout(touchTimeout); - didDoubleTouch = true; - prevTouchTimeStamp = null; - triggerEvents(start, ['dbltap', 'vdblclick'], e, { - x: now[0], - y: now[1] - }); - } else { - touchTimeout = setTimeout(function () { - if (didDoubleTouch) return; - triggerEvents(start, ['onetap', 'voneclick'], e, { - x: now[0], - y: now[1] - }); - }, cy.multiClickDebounceTime()); - prevTouchTimeStamp = e.timeStamp; - } - } - - // Prepare to select the currently touched node, only if it hasn't been dragged past a certain distance - if (start != null && !r.dragData.didDrag // didn't drag nodes around - && start._private.selectable && rdist2 < r.touchTapThreshold2 && !r.pinching // pinch to zoom should not affect selection - ) { - if (cy.selectionType() === 'single') { - cy.$(isSelected).unmerge(start).unselect(['tapunselect']); - start.select(['tapselect']); - } else { - if (start.selected()) { - start.unselect(['tapunselect']); - } else { - start.select(['tapselect']); - } - } - r.redrawHint('eles', true); - } - r.touchData.singleTouchMoved = true; - } - for (var j = 0; j < now.length; j++) { - earlier[j] = now[j]; - } - r.dragData.didDrag = false; // reset for next touchstart - - if (e.touches.length === 0) { - r.touchData.dragDelta = []; - r.touchData.startPosition = [null, null, null, null, null, null]; - r.touchData.startGPosition = null; - r.touchData.didSelect = false; - } - if (e.touches.length < 2) { - if (e.touches.length === 1) { - // the old start global pos'n may not be the same finger that remains - r.touchData.startGPosition = [e.touches[0].clientX, e.touches[0].clientY]; - } - r.pinching = false; - r.redrawHint('eles', true); - r.redraw(); - } - - //r.redraw(); - }, false); - - // fallback compatibility layer for ms pointer events - if (typeof TouchEvent === 'undefined') { - var pointers = []; - var makeTouch = function makeTouch(e) { - return { - clientX: e.clientX, - clientY: e.clientY, - force: 1, - identifier: e.pointerId, - pageX: e.pageX, - pageY: e.pageY, - radiusX: e.width / 2, - radiusY: e.height / 2, - screenX: e.screenX, - screenY: e.screenY, - target: e.target - }; - }; - var makePointer = function makePointer(e) { - return { - event: e, - touch: makeTouch(e) - }; - }; - var addPointer = function addPointer(e) { - pointers.push(makePointer(e)); - }; - var removePointer = function removePointer(e) { - for (var i = 0; i < pointers.length; i++) { - var p = pointers[i]; - if (p.event.pointerId === e.pointerId) { - pointers.splice(i, 1); - return; - } - } - }; - var updatePointer = function updatePointer(e) { - var p = pointers.filter(function (p) { - return p.event.pointerId === e.pointerId; - })[0]; - p.event = e; - p.touch = makeTouch(e); - }; - var addTouchesToEvent = function addTouchesToEvent(e) { - e.touches = pointers.map(function (p) { - return p.touch; - }); - }; - var pointerIsMouse = function pointerIsMouse(e) { - return e.pointerType === 'mouse' || e.pointerType === 4; - }; - r.registerBinding(r.container, 'pointerdown', function (e) { - if (pointerIsMouse(e)) { - return; - } // mouse already handled - - e.preventDefault(); - addPointer(e); - addTouchesToEvent(e); - touchstartHandler(e); - }); - r.registerBinding(r.container, 'pointerup', function (e) { - if (pointerIsMouse(e)) { - return; - } // mouse already handled - - removePointer(e); - addTouchesToEvent(e); - touchendHandler(e); - }); - r.registerBinding(r.container, 'pointercancel', function (e) { - if (pointerIsMouse(e)) { - return; - } // mouse already handled - - removePointer(e); - addTouchesToEvent(e); - touchcancelHandler(e); - }); - r.registerBinding(r.container, 'pointermove', function (e) { - if (pointerIsMouse(e)) { - return; - } // mouse already handled - - e.preventDefault(); - updatePointer(e); - addTouchesToEvent(e); - touchmoveHandler(e); - }); - } - }; - - var BRp$2 = {}; - BRp$2.generatePolygon = function (name, points) { - return this.nodeShapes[name] = { - renderer: this, - name: name, - points: points, - draw: function draw(context, centerX, centerY, width, height) { - this.renderer.nodeShapeImpl('polygon', context, centerX, centerY, width, height, this.points); - }, - intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { - return polygonIntersectLine(x, y, this.points, nodeX, nodeY, width / 2, height / 2, padding); - }, - checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { - return pointInsidePolygon(x, y, this.points, centerX, centerY, width, height, [0, -1], padding); - } - }; - }; - BRp$2.generateEllipse = function () { - return this.nodeShapes['ellipse'] = { - renderer: this, - name: 'ellipse', - draw: function draw(context, centerX, centerY, width, height) { - this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); - }, - intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { - return intersectLineEllipse(x, y, nodeX, nodeY, width / 2 + padding, height / 2 + padding); - }, - checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { - return checkInEllipse(x, y, width, height, centerX, centerY, padding); - } - }; - }; - BRp$2.generateRoundPolygon = function (name, points) { - // Pre-compute control points - // Since these points depend on the radius length (which in turns depend on the width/height of the node) we will only pre-compute - // the unit vectors. - // For simplicity the layout will be: - // [ p0, UnitVectorP0P1, p1, UniVectorP1P2, ..., pn, UnitVectorPnP0 ] - var allPoints = new Array(points.length * 2); - for (var i = 0; i < points.length / 2; i++) { - var sourceIndex = i * 2; - var destIndex = void 0; - if (i < points.length / 2 - 1) { - destIndex = (i + 1) * 2; - } else { - destIndex = 0; - } - allPoints[i * 4] = points[sourceIndex]; - allPoints[i * 4 + 1] = points[sourceIndex + 1]; - var xDest = points[destIndex] - points[sourceIndex]; - var yDest = points[destIndex + 1] - points[sourceIndex + 1]; - var norm = Math.sqrt(xDest * xDest + yDest * yDest); - allPoints[i * 4 + 2] = xDest / norm; - allPoints[i * 4 + 3] = yDest / norm; - } - return this.nodeShapes[name] = { - renderer: this, - name: name, - points: allPoints, - draw: function draw(context, centerX, centerY, width, height) { - this.renderer.nodeShapeImpl('round-polygon', context, centerX, centerY, width, height, this.points); - }, - intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { - return roundPolygonIntersectLine(x, y, this.points, nodeX, nodeY, width, height); - }, - checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { - return pointInsideRoundPolygon(x, y, this.points, centerX, centerY, width, height); - } - }; - }; - BRp$2.generateRoundRectangle = function () { - return this.nodeShapes['round-rectangle'] = this.nodeShapes['roundrectangle'] = { - renderer: this, - name: 'round-rectangle', - points: generateUnitNgonPointsFitToSquare(4, 0), - draw: function draw(context, centerX, centerY, width, height) { - this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); - }, - intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { - return roundRectangleIntersectLine(x, y, nodeX, nodeY, width, height, padding); - }, - checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { - var cornerRadius = getRoundRectangleRadius(width, height); - var diam = cornerRadius * 2; - - // Check hBox - if (pointInsidePolygon(x, y, this.points, centerX, centerY, width, height - diam, [0, -1], padding)) { - return true; - } - - // Check vBox - if (pointInsidePolygon(x, y, this.points, centerX, centerY, width - diam, height, [0, -1], padding)) { - return true; - } - - // Check top left quarter circle - if (checkInEllipse(x, y, diam, diam, centerX - width / 2 + cornerRadius, centerY - height / 2 + cornerRadius, padding)) { - return true; - } - - // Check top right quarter circle - if (checkInEllipse(x, y, diam, diam, centerX + width / 2 - cornerRadius, centerY - height / 2 + cornerRadius, padding)) { - return true; - } - - // Check bottom right quarter circle - if (checkInEllipse(x, y, diam, diam, centerX + width / 2 - cornerRadius, centerY + height / 2 - cornerRadius, padding)) { - return true; - } - - // Check bottom left quarter circle - if (checkInEllipse(x, y, diam, diam, centerX - width / 2 + cornerRadius, centerY + height / 2 - cornerRadius, padding)) { - return true; - } - return false; - } - }; - }; - BRp$2.generateCutRectangle = function () { - return this.nodeShapes['cut-rectangle'] = this.nodeShapes['cutrectangle'] = { - renderer: this, - name: 'cut-rectangle', - cornerLength: getCutRectangleCornerLength(), - points: generateUnitNgonPointsFitToSquare(4, 0), - draw: function draw(context, centerX, centerY, width, height) { - this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); - }, - generateCutTrianglePts: function generateCutTrianglePts(width, height, centerX, centerY) { - var cl = this.cornerLength; - var hh = height / 2; - var hw = width / 2; - var xBegin = centerX - hw; - var xEnd = centerX + hw; - var yBegin = centerY - hh; - var yEnd = centerY + hh; - - // points are in clockwise order, inner (imaginary) triangle pt on [4, 5] - return { - topLeft: [xBegin, yBegin + cl, xBegin + cl, yBegin, xBegin + cl, yBegin + cl], - topRight: [xEnd - cl, yBegin, xEnd, yBegin + cl, xEnd - cl, yBegin + cl], - bottomRight: [xEnd, yEnd - cl, xEnd - cl, yEnd, xEnd - cl, yEnd - cl], - bottomLeft: [xBegin + cl, yEnd, xBegin, yEnd - cl, xBegin + cl, yEnd - cl] - }; - }, - intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { - var cPts = this.generateCutTrianglePts(width + 2 * padding, height + 2 * padding, nodeX, nodeY); - var pts = [].concat.apply([], [cPts.topLeft.splice(0, 4), cPts.topRight.splice(0, 4), cPts.bottomRight.splice(0, 4), cPts.bottomLeft.splice(0, 4)]); - return polygonIntersectLine(x, y, pts, nodeX, nodeY); - }, - checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { - // Check hBox - if (pointInsidePolygon(x, y, this.points, centerX, centerY, width, height - 2 * this.cornerLength, [0, -1], padding)) { - return true; - } - - // Check vBox - if (pointInsidePolygon(x, y, this.points, centerX, centerY, width - 2 * this.cornerLength, height, [0, -1], padding)) { - return true; - } - var cutTrianglePts = this.generateCutTrianglePts(width, height, centerX, centerY); - return pointInsidePolygonPoints(x, y, cutTrianglePts.topLeft) || pointInsidePolygonPoints(x, y, cutTrianglePts.topRight) || pointInsidePolygonPoints(x, y, cutTrianglePts.bottomRight) || pointInsidePolygonPoints(x, y, cutTrianglePts.bottomLeft); - } - }; - }; - BRp$2.generateBarrel = function () { - return this.nodeShapes['barrel'] = { - renderer: this, - name: 'barrel', - points: generateUnitNgonPointsFitToSquare(4, 0), - draw: function draw(context, centerX, centerY, width, height) { - this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); - }, - intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { - // use two fixed t values for the bezier curve approximation - - var t0 = 0.15; - var t1 = 0.5; - var t2 = 0.85; - var bPts = this.generateBarrelBezierPts(width + 2 * padding, height + 2 * padding, nodeX, nodeY); - var approximateBarrelCurvePts = function approximateBarrelCurvePts(pts) { - // approximate curve pts based on the two t values - var m0 = qbezierPtAt({ - x: pts[0], - y: pts[1] - }, { - x: pts[2], - y: pts[3] - }, { - x: pts[4], - y: pts[5] - }, t0); - var m1 = qbezierPtAt({ - x: pts[0], - y: pts[1] - }, { - x: pts[2], - y: pts[3] - }, { - x: pts[4], - y: pts[5] - }, t1); - var m2 = qbezierPtAt({ - x: pts[0], - y: pts[1] - }, { - x: pts[2], - y: pts[3] - }, { - x: pts[4], - y: pts[5] - }, t2); - return [pts[0], pts[1], m0.x, m0.y, m1.x, m1.y, m2.x, m2.y, pts[4], pts[5]]; - }; - var pts = [].concat(approximateBarrelCurvePts(bPts.topLeft), approximateBarrelCurvePts(bPts.topRight), approximateBarrelCurvePts(bPts.bottomRight), approximateBarrelCurvePts(bPts.bottomLeft)); - return polygonIntersectLine(x, y, pts, nodeX, nodeY); - }, - generateBarrelBezierPts: function generateBarrelBezierPts(width, height, centerX, centerY) { - var hh = height / 2; - var hw = width / 2; - var xBegin = centerX - hw; - var xEnd = centerX + hw; - var yBegin = centerY - hh; - var yEnd = centerY + hh; - var curveConstants = getBarrelCurveConstants(width, height); - var hOffset = curveConstants.heightOffset; - var wOffset = curveConstants.widthOffset; - var ctrlPtXOffset = curveConstants.ctrlPtOffsetPct * width; - - // points are in clockwise order, inner (imaginary) control pt on [4, 5] - var pts = { - topLeft: [xBegin, yBegin + hOffset, xBegin + ctrlPtXOffset, yBegin, xBegin + wOffset, yBegin], - topRight: [xEnd - wOffset, yBegin, xEnd - ctrlPtXOffset, yBegin, xEnd, yBegin + hOffset], - bottomRight: [xEnd, yEnd - hOffset, xEnd - ctrlPtXOffset, yEnd, xEnd - wOffset, yEnd], - bottomLeft: [xBegin + wOffset, yEnd, xBegin + ctrlPtXOffset, yEnd, xBegin, yEnd - hOffset] - }; - pts.topLeft.isTop = true; - pts.topRight.isTop = true; - pts.bottomLeft.isBottom = true; - pts.bottomRight.isBottom = true; - return pts; - }, - checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { - var curveConstants = getBarrelCurveConstants(width, height); - var hOffset = curveConstants.heightOffset; - var wOffset = curveConstants.widthOffset; - - // Check hBox - if (pointInsidePolygon(x, y, this.points, centerX, centerY, width, height - 2 * hOffset, [0, -1], padding)) { - return true; - } - - // Check vBox - if (pointInsidePolygon(x, y, this.points, centerX, centerY, width - 2 * wOffset, height, [0, -1], padding)) { - return true; - } - var barrelCurvePts = this.generateBarrelBezierPts(width, height, centerX, centerY); - var getCurveT = function getCurveT(x, y, curvePts) { - var x0 = curvePts[4]; - var x1 = curvePts[2]; - var x2 = curvePts[0]; - var y0 = curvePts[5]; - // var y1 = curvePts[ 3 ]; - var y2 = curvePts[1]; - var xMin = Math.min(x0, x2); - var xMax = Math.max(x0, x2); - var yMin = Math.min(y0, y2); - var yMax = Math.max(y0, y2); - if (xMin <= x && x <= xMax && yMin <= y && y <= yMax) { - var coeff = bezierPtsToQuadCoeff(x0, x1, x2); - var roots = solveQuadratic(coeff[0], coeff[1], coeff[2], x); - var validRoots = roots.filter(function (r) { - return 0 <= r && r <= 1; - }); - if (validRoots.length > 0) { - return validRoots[0]; - } - } - return null; - }; - var curveRegions = Object.keys(barrelCurvePts); - for (var i = 0; i < curveRegions.length; i++) { - var corner = curveRegions[i]; - var cornerPts = barrelCurvePts[corner]; - var t = getCurveT(x, y, cornerPts); - if (t == null) { - continue; - } - var y0 = cornerPts[5]; - var y1 = cornerPts[3]; - var y2 = cornerPts[1]; - var bezY = qbezierAt(y0, y1, y2, t); - if (cornerPts.isTop && bezY <= y) { - return true; - } - if (cornerPts.isBottom && y <= bezY) { - return true; - } - } - return false; - } - }; - }; - BRp$2.generateBottomRoundrectangle = function () { - return this.nodeShapes['bottom-round-rectangle'] = this.nodeShapes['bottomroundrectangle'] = { - renderer: this, - name: 'bottom-round-rectangle', - points: generateUnitNgonPointsFitToSquare(4, 0), - draw: function draw(context, centerX, centerY, width, height) { - this.renderer.nodeShapeImpl(this.name, context, centerX, centerY, width, height); - }, - intersectLine: function intersectLine(nodeX, nodeY, width, height, x, y, padding) { - var topStartX = nodeX - (width / 2 + padding); - var topStartY = nodeY - (height / 2 + padding); - var topEndY = topStartY; - var topEndX = nodeX + (width / 2 + padding); - var topIntersections = finiteLinesIntersect(x, y, nodeX, nodeY, topStartX, topStartY, topEndX, topEndY, false); - if (topIntersections.length > 0) { - return topIntersections; - } - return roundRectangleIntersectLine(x, y, nodeX, nodeY, width, height, padding); - }, - checkPoint: function checkPoint(x, y, padding, width, height, centerX, centerY) { - var cornerRadius = getRoundRectangleRadius(width, height); - var diam = 2 * cornerRadius; - - // Check hBox - if (pointInsidePolygon(x, y, this.points, centerX, centerY, width, height - diam, [0, -1], padding)) { - return true; - } - - // Check vBox - if (pointInsidePolygon(x, y, this.points, centerX, centerY, width - diam, height, [0, -1], padding)) { - return true; - } - - // check non-rounded top side - var outerWidth = width / 2 + 2 * padding; - var outerHeight = height / 2 + 2 * padding; - var points = [centerX - outerWidth, centerY - outerHeight, centerX - outerWidth, centerY, centerX + outerWidth, centerY, centerX + outerWidth, centerY - outerHeight]; - if (pointInsidePolygonPoints(x, y, points)) { - return true; - } - - // Check bottom right quarter circle - if (checkInEllipse(x, y, diam, diam, centerX + width / 2 - cornerRadius, centerY + height / 2 - cornerRadius, padding)) { - return true; - } - - // Check bottom left quarter circle - if (checkInEllipse(x, y, diam, diam, centerX - width / 2 + cornerRadius, centerY + height / 2 - cornerRadius, padding)) { - return true; - } - return false; - } - }; - }; - BRp$2.registerNodeShapes = function () { - var nodeShapes = this.nodeShapes = {}; - var renderer = this; - this.generateEllipse(); - this.generatePolygon('triangle', generateUnitNgonPointsFitToSquare(3, 0)); - this.generateRoundPolygon('round-triangle', generateUnitNgonPointsFitToSquare(3, 0)); - this.generatePolygon('rectangle', generateUnitNgonPointsFitToSquare(4, 0)); - nodeShapes['square'] = nodeShapes['rectangle']; - this.generateRoundRectangle(); - this.generateCutRectangle(); - this.generateBarrel(); - this.generateBottomRoundrectangle(); - { - var diamondPoints = [0, 1, 1, 0, 0, -1, -1, 0]; - this.generatePolygon('diamond', diamondPoints); - this.generateRoundPolygon('round-diamond', diamondPoints); - } - this.generatePolygon('pentagon', generateUnitNgonPointsFitToSquare(5, 0)); - this.generateRoundPolygon('round-pentagon', generateUnitNgonPointsFitToSquare(5, 0)); - this.generatePolygon('hexagon', generateUnitNgonPointsFitToSquare(6, 0)); - this.generateRoundPolygon('round-hexagon', generateUnitNgonPointsFitToSquare(6, 0)); - this.generatePolygon('heptagon', generateUnitNgonPointsFitToSquare(7, 0)); - this.generateRoundPolygon('round-heptagon', generateUnitNgonPointsFitToSquare(7, 0)); - this.generatePolygon('octagon', generateUnitNgonPointsFitToSquare(8, 0)); - this.generateRoundPolygon('round-octagon', generateUnitNgonPointsFitToSquare(8, 0)); - var star5Points = new Array(20); - { - var outerPoints = generateUnitNgonPoints(5, 0); - var innerPoints = generateUnitNgonPoints(5, Math.PI / 5); - - // Outer radius is 1; inner radius of star is smaller - var innerRadius = 0.5 * (3 - Math.sqrt(5)); - innerRadius *= 1.57; - for (var i = 0; i < innerPoints.length / 2; i++) { - innerPoints[i * 2] *= innerRadius; - innerPoints[i * 2 + 1] *= innerRadius; - } - for (var i = 0; i < 20 / 4; i++) { - star5Points[i * 4] = outerPoints[i * 2]; - star5Points[i * 4 + 1] = outerPoints[i * 2 + 1]; - star5Points[i * 4 + 2] = innerPoints[i * 2]; - star5Points[i * 4 + 3] = innerPoints[i * 2 + 1]; - } - } - star5Points = fitPolygonToSquare(star5Points); - this.generatePolygon('star', star5Points); - this.generatePolygon('vee', [-1, -1, 0, -0.333, 1, -1, 0, 1]); - this.generatePolygon('rhomboid', [-1, -1, 0.333, -1, 1, 1, -0.333, 1]); - this.generatePolygon('right-rhomboid', [-0.333, -1, 1, -1, 0.333, 1, -1, 1]); - this.nodeShapes['concavehexagon'] = this.generatePolygon('concave-hexagon', [-1, -0.95, -0.75, 0, -1, 0.95, 1, 0.95, 0.75, 0, 1, -0.95]); - { - var tagPoints = [-1, -1, 0.25, -1, 1, 0, 0.25, 1, -1, 1]; - this.generatePolygon('tag', tagPoints); - this.generateRoundPolygon('round-tag', tagPoints); - } - nodeShapes.makePolygon = function (points) { - // use caching on user-specified polygons so they are as fast as native shapes - - var key = points.join('$'); - var name = 'polygon-' + key; - var shape; - if (shape = this[name]) { - // got cached shape - return shape; - } - - // create and cache new shape - return renderer.generatePolygon(name, points); - }; - }; - - var BRp$1 = {}; - BRp$1.timeToRender = function () { - return this.redrawTotalTime / this.redrawCount; - }; - BRp$1.redraw = function (options) { - options = options || staticEmptyObject(); - var r = this; - if (r.averageRedrawTime === undefined) { - r.averageRedrawTime = 0; - } - if (r.lastRedrawTime === undefined) { - r.lastRedrawTime = 0; - } - if (r.lastDrawTime === undefined) { - r.lastDrawTime = 0; - } - r.requestedFrame = true; - r.renderOptions = options; - }; - BRp$1.beforeRender = function (fn, priority) { - // the renderer can't add tick callbacks when destroyed - if (this.destroyed) { - return; - } - if (priority == null) { - error('Priority is not optional for beforeRender'); - } - var cbs = this.beforeRenderCallbacks; - cbs.push({ - fn: fn, - priority: priority - }); - - // higher priority callbacks executed first - cbs.sort(function (a, b) { - return b.priority - a.priority; - }); - }; - var beforeRenderCallbacks = function beforeRenderCallbacks(r, willDraw, startTime) { - var cbs = r.beforeRenderCallbacks; - for (var i = 0; i < cbs.length; i++) { - cbs[i].fn(willDraw, startTime); - } - }; - BRp$1.startRenderLoop = function () { - var r = this; - var cy = r.cy; - if (r.renderLoopStarted) { - return; - } else { - r.renderLoopStarted = true; - } - var renderFn = function renderFn(requestTime) { - if (r.destroyed) { - return; - } - if (cy.batching()) ; else if (r.requestedFrame && !r.skipFrame) { - beforeRenderCallbacks(r, true, requestTime); - var startTime = performanceNow(); - r.render(r.renderOptions); - var endTime = r.lastDrawTime = performanceNow(); - if (r.averageRedrawTime === undefined) { - r.averageRedrawTime = endTime - startTime; - } - if (r.redrawCount === undefined) { - r.redrawCount = 0; - } - r.redrawCount++; - if (r.redrawTotalTime === undefined) { - r.redrawTotalTime = 0; - } - var duration = endTime - startTime; - r.redrawTotalTime += duration; - r.lastRedrawTime = duration; - - // use a weighted average with a bias from the previous average so we don't spike so easily - r.averageRedrawTime = r.averageRedrawTime / 2 + duration / 2; - r.requestedFrame = false; - } else { - beforeRenderCallbacks(r, false, requestTime); - } - r.skipFrame = false; - requestAnimationFrame(renderFn); - }; - requestAnimationFrame(renderFn); - }; - - var BaseRenderer = function BaseRenderer(options) { - this.init(options); - }; - var BR = BaseRenderer; - var BRp = BR.prototype; - BRp.clientFunctions = ['redrawHint', 'render', 'renderTo', 'matchCanvasSize', 'nodeShapeImpl', 'arrowShapeImpl']; - BRp.init = function (options) { - var r = this; - r.options = options; - r.cy = options.cy; - var ctr = r.container = options.cy.container(); - var containerWindow = r.cy.window(); - - // prepend a stylesheet in the head such that - if (containerWindow) { - var document = containerWindow.document; - var head = document.head; - var stylesheetId = '__________cytoscape_stylesheet'; - var className = '__________cytoscape_container'; - var stylesheetAlreadyExists = document.getElementById(stylesheetId) != null; - if (ctr.className.indexOf(className) < 0) { - ctr.className = (ctr.className || '') + ' ' + className; - } - if (!stylesheetAlreadyExists) { - var stylesheet = document.createElement('style'); - stylesheet.id = stylesheetId; - stylesheet.textContent = '.' + className + ' { position: relative; }'; - head.insertBefore(stylesheet, head.children[0]); // first so lowest priority - } - - var computedStyle = containerWindow.getComputedStyle(ctr); - var position = computedStyle.getPropertyValue('position'); - if (position === 'static') { - warn('A Cytoscape container has style position:static and so can not use UI extensions properly'); - } - } - r.selection = [undefined, undefined, undefined, undefined, 0]; // Coordinates for selection box, plus enabled flag - - r.bezierProjPcts = [0.05, 0.225, 0.4, 0.5, 0.6, 0.775, 0.95]; - - //--Pointer-related data - r.hoverData = { - down: null, - last: null, - downTime: null, - triggerMode: null, - dragging: false, - initialPan: [null, null], - capture: false - }; - r.dragData = { - possibleDragElements: [] - }; - r.touchData = { - start: null, - capture: false, - // These 3 fields related to tap, taphold events - startPosition: [null, null, null, null, null, null], - singleTouchStartTime: null, - singleTouchMoved: true, - now: [null, null, null, null, null, null], - earlier: [null, null, null, null, null, null] - }; - r.redraws = 0; - r.showFps = options.showFps; - r.debug = options.debug; - r.hideEdgesOnViewport = options.hideEdgesOnViewport; - r.textureOnViewport = options.textureOnViewport; - r.wheelSensitivity = options.wheelSensitivity; - r.motionBlurEnabled = options.motionBlur; // on by default - r.forcedPixelRatio = number$1(options.pixelRatio) ? options.pixelRatio : null; - r.motionBlur = options.motionBlur; // for initial kick off - r.motionBlurOpacity = options.motionBlurOpacity; - r.motionBlurTransparency = 1 - r.motionBlurOpacity; - r.motionBlurPxRatio = 1; - r.mbPxRBlurry = 1; //0.8; - r.minMbLowQualFrames = 4; - r.fullQualityMb = false; - r.clearedForMotionBlur = []; - r.desktopTapThreshold = options.desktopTapThreshold; - r.desktopTapThreshold2 = options.desktopTapThreshold * options.desktopTapThreshold; - r.touchTapThreshold = options.touchTapThreshold; - r.touchTapThreshold2 = options.touchTapThreshold * options.touchTapThreshold; - r.tapholdDuration = 500; - r.bindings = []; - r.beforeRenderCallbacks = []; - r.beforeRenderPriorities = { - // higher priority execs before lower one - animations: 400, - eleCalcs: 300, - eleTxrDeq: 200, - lyrTxrDeq: 150, - lyrTxrSkip: 100 - }; - r.registerNodeShapes(); - r.registerArrowShapes(); - r.registerCalculationListeners(); - }; - BRp.notify = function (eventName, eles) { - var r = this; - var cy = r.cy; - - // the renderer can't be notified after it's destroyed - if (this.destroyed) { - return; - } - if (eventName === 'init') { - r.load(); - return; - } - if (eventName === 'destroy') { - r.destroy(); - return; - } - if (eventName === 'add' || eventName === 'remove' || eventName === 'move' && cy.hasCompoundNodes() || eventName === 'load' || eventName === 'zorder' || eventName === 'mount') { - r.invalidateCachedZSortedEles(); - } - if (eventName === 'viewport') { - r.redrawHint('select', true); - } - if (eventName === 'load' || eventName === 'resize' || eventName === 'mount') { - r.invalidateContainerClientCoordsCache(); - r.matchCanvasSize(r.container); - } - r.redrawHint('eles', true); - r.redrawHint('drag', true); - this.startRenderLoop(); - this.redraw(); - }; - BRp.destroy = function () { - var r = this; - r.destroyed = true; - r.cy.stopAnimationLoop(); - for (var i = 0; i < r.bindings.length; i++) { - var binding = r.bindings[i]; - var b = binding; - var tgt = b.target; - (tgt.off || tgt.removeEventListener).apply(tgt, b.args); - } - r.bindings = []; - r.beforeRenderCallbacks = []; - r.onUpdateEleCalcsFns = []; - if (r.removeObserver) { - r.removeObserver.disconnect(); - } - if (r.styleObserver) { - r.styleObserver.disconnect(); - } - if (r.resizeObserver) { - r.resizeObserver.disconnect(); - } - if (r.labelCalcDiv) { - try { - document.body.removeChild(r.labelCalcDiv); // eslint-disable-line no-undef - } catch (e) { - // ie10 issue #1014 - } - } - }; - BRp.isHeadless = function () { - return false; - }; - [BRp$f, BRp$5, BRp$4, BRp$3, BRp$2, BRp$1].forEach(function (props) { - extend(BRp, props); - }); - - var fullFpsTime = 1000 / 60; // assume 60 frames per second - - var defs = { - setupDequeueing: function setupDequeueing(opts) { - return function setupDequeueingImpl() { - var self = this; - var r = this.renderer; - if (self.dequeueingSetup) { - return; - } else { - self.dequeueingSetup = true; - } - var queueRedraw = debounce_1(function () { - r.redrawHint('eles', true); - r.redrawHint('drag', true); - r.redraw(); - }, opts.deqRedrawThreshold); - var dequeue = function dequeue(willDraw, frameStartTime) { - var startTime = performanceNow(); - var avgRenderTime = r.averageRedrawTime; - var renderTime = r.lastRedrawTime; - var deqd = []; - var extent = r.cy.extent(); - var pixelRatio = r.getPixelRatio(); - - // if we aren't in a tick that causes a draw, then the rendered style - // queue won't automatically be flushed before dequeueing starts - if (!willDraw) { - r.flushRenderedStyleQueue(); - } - while (true) { - // eslint-disable-line no-constant-condition - var now = performanceNow(); - var duration = now - startTime; - var frameDuration = now - frameStartTime; - if (renderTime < fullFpsTime) { - // if we're rendering faster than the ideal fps, then do dequeueing - // during all of the remaining frame time - - var timeAvailable = fullFpsTime - (willDraw ? avgRenderTime : 0); - if (frameDuration >= opts.deqFastCost * timeAvailable) { - break; - } - } else { - if (willDraw) { - if (duration >= opts.deqCost * renderTime || duration >= opts.deqAvgCost * avgRenderTime) { - break; - } - } else if (frameDuration >= opts.deqNoDrawCost * fullFpsTime) { - break; - } - } - var thisDeqd = opts.deq(self, pixelRatio, extent); - if (thisDeqd.length > 0) { - for (var i = 0; i < thisDeqd.length; i++) { - deqd.push(thisDeqd[i]); - } - } else { - break; - } - } - - // callbacks on dequeue - if (deqd.length > 0) { - opts.onDeqd(self, deqd); - if (!willDraw && opts.shouldRedraw(self, deqd, pixelRatio, extent)) { - queueRedraw(); - } - } - }; - var priority = opts.priority || noop$1; - r.beforeRender(dequeue, priority(self)); - }; - } - }; - - // Allows lookups for (ele, lvl) => cache. - // Uses keys so elements may share the same cache. - var ElementTextureCacheLookup = /*#__PURE__*/function () { - function ElementTextureCacheLookup(getKey) { - var doesEleInvalidateKey = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : falsify; - _classCallCheck(this, ElementTextureCacheLookup); - this.idsByKey = new Map$2(); - this.keyForId = new Map$2(); - this.cachesByLvl = new Map$2(); - this.lvls = []; - this.getKey = getKey; - this.doesEleInvalidateKey = doesEleInvalidateKey; - } - _createClass(ElementTextureCacheLookup, [{ - key: "getIdsFor", - value: function getIdsFor(key) { - if (key == null) { - error("Can not get id list for null key"); - } - var idsByKey = this.idsByKey; - var ids = this.idsByKey.get(key); - if (!ids) { - ids = new Set$1(); - idsByKey.set(key, ids); - } - return ids; - } - }, { - key: "addIdForKey", - value: function addIdForKey(key, id) { - if (key != null) { - this.getIdsFor(key).add(id); - } - } - }, { - key: "deleteIdForKey", - value: function deleteIdForKey(key, id) { - if (key != null) { - this.getIdsFor(key)["delete"](id); - } - } - }, { - key: "getNumberOfIdsForKey", - value: function getNumberOfIdsForKey(key) { - if (key == null) { - return 0; - } else { - return this.getIdsFor(key).size; - } - } - }, { - key: "updateKeyMappingFor", - value: function updateKeyMappingFor(ele) { - var id = ele.id(); - var prevKey = this.keyForId.get(id); - var currKey = this.getKey(ele); - this.deleteIdForKey(prevKey, id); - this.addIdForKey(currKey, id); - this.keyForId.set(id, currKey); - } - }, { - key: "deleteKeyMappingFor", - value: function deleteKeyMappingFor(ele) { - var id = ele.id(); - var prevKey = this.keyForId.get(id); - this.deleteIdForKey(prevKey, id); - this.keyForId["delete"](id); - } - }, { - key: "keyHasChangedFor", - value: function keyHasChangedFor(ele) { - var id = ele.id(); - var prevKey = this.keyForId.get(id); - var newKey = this.getKey(ele); - return prevKey !== newKey; - } - }, { - key: "isInvalid", - value: function isInvalid(ele) { - return this.keyHasChangedFor(ele) || this.doesEleInvalidateKey(ele); - } - }, { - key: "getCachesAt", - value: function getCachesAt(lvl) { - var cachesByLvl = this.cachesByLvl, - lvls = this.lvls; - var caches = cachesByLvl.get(lvl); - if (!caches) { - caches = new Map$2(); - cachesByLvl.set(lvl, caches); - lvls.push(lvl); - } - return caches; - } - }, { - key: "getCache", - value: function getCache(key, lvl) { - return this.getCachesAt(lvl).get(key); - } - }, { - key: "get", - value: function get(ele, lvl) { - var key = this.getKey(ele); - var cache = this.getCache(key, lvl); - - // getting for an element may need to add to the id list b/c eles can share keys - if (cache != null) { - this.updateKeyMappingFor(ele); - } - return cache; - } - }, { - key: "getForCachedKey", - value: function getForCachedKey(ele, lvl) { - var key = this.keyForId.get(ele.id()); // n.b. use cached key, not newly computed key - var cache = this.getCache(key, lvl); - return cache; - } - }, { - key: "hasCache", - value: function hasCache(key, lvl) { - return this.getCachesAt(lvl).has(key); - } - }, { - key: "has", - value: function has(ele, lvl) { - var key = this.getKey(ele); - return this.hasCache(key, lvl); - } - }, { - key: "setCache", - value: function setCache(key, lvl, cache) { - cache.key = key; - this.getCachesAt(lvl).set(key, cache); - } - }, { - key: "set", - value: function set(ele, lvl, cache) { - var key = this.getKey(ele); - this.setCache(key, lvl, cache); - this.updateKeyMappingFor(ele); - } - }, { - key: "deleteCache", - value: function deleteCache(key, lvl) { - this.getCachesAt(lvl)["delete"](key); - } - }, { - key: "delete", - value: function _delete(ele, lvl) { - var key = this.getKey(ele); - this.deleteCache(key, lvl); - } - }, { - key: "invalidateKey", - value: function invalidateKey(key) { - var _this = this; - this.lvls.forEach(function (lvl) { - return _this.deleteCache(key, lvl); - }); - } - - // returns true if no other eles reference the invalidated cache (n.b. other eles may need the cache with the same key) - }, { - key: "invalidate", - value: function invalidate(ele) { - var id = ele.id(); - var key = this.keyForId.get(id); // n.b. use stored key rather than current (potential key) - - this.deleteKeyMappingFor(ele); - var entireKeyInvalidated = this.doesEleInvalidateKey(ele); - if (entireKeyInvalidated) { - // clear mapping for current key - this.invalidateKey(key); - } - return entireKeyInvalidated || this.getNumberOfIdsForKey(key) === 0; - } - }]); - return ElementTextureCacheLookup; - }(); - - var minTxrH = 25; // the size of the texture cache for small height eles (special case) - var txrStepH = 50; // the min size of the regular cache, and the size it increases with each step up - var minLvl$1 = -4; // when scaling smaller than that we don't need to re-render - var maxLvl$1 = 3; // when larger than this scale just render directly (caching is not helpful) - var maxZoom$1 = 7.99; // beyond this zoom level, layered textures are not used - var eleTxrSpacing = 8; // spacing between elements on textures to avoid blitting overlaps - var defTxrWidth = 1024; // default/minimum texture width - var maxTxrW = 1024; // the maximum width of a texture - var maxTxrH = 1024; // the maximum height of a texture - var minUtility = 0.2; // if usage of texture is less than this, it is retired - var maxFullness = 0.8; // fullness of texture after which queue removal is checked - var maxFullnessChecks = 10; // dequeued after this many checks - var deqCost$1 = 0.15; // % of add'l rendering cost allowed for dequeuing ele caches each frame - var deqAvgCost$1 = 0.1; // % of add'l rendering cost compared to average overall redraw time - var deqNoDrawCost$1 = 0.9; // % of avg frame time that can be used for dequeueing when not drawing - var deqFastCost$1 = 0.9; // % of frame time to be used when >60fps - var deqRedrawThreshold$1 = 100; // time to batch redraws together from dequeueing to allow more dequeueing calcs to happen in the meanwhile - var maxDeqSize$1 = 1; // number of eles to dequeue and render at higher texture in each batch - - var getTxrReasons = { - dequeue: 'dequeue', - downscale: 'downscale', - highQuality: 'highQuality' - }; - var initDefaults = defaults$g({ - getKey: null, - doesEleInvalidateKey: falsify, - drawElement: null, - getBoundingBox: null, - getRotationPoint: null, - getRotationOffset: null, - isVisible: trueify, - allowEdgeTxrCaching: true, - allowParentTxrCaching: true - }); - var ElementTextureCache = function ElementTextureCache(renderer, initOptions) { - var self = this; - self.renderer = renderer; - self.onDequeues = []; - var opts = initDefaults(initOptions); - extend(self, opts); - self.lookup = new ElementTextureCacheLookup(opts.getKey, opts.doesEleInvalidateKey); - self.setupDequeueing(); - }; - var ETCp = ElementTextureCache.prototype; - ETCp.reasons = getTxrReasons; - - // the list of textures in which new subtextures for elements can be placed - ETCp.getTextureQueue = function (txrH) { - var self = this; - self.eleImgCaches = self.eleImgCaches || {}; - return self.eleImgCaches[txrH] = self.eleImgCaches[txrH] || []; - }; - - // the list of usused textures which can be recycled (in use in texture queue) - ETCp.getRetiredTextureQueue = function (txrH) { - var self = this; - var rtxtrQs = self.eleImgCaches.retired = self.eleImgCaches.retired || {}; - var rtxtrQ = rtxtrQs[txrH] = rtxtrQs[txrH] || []; - return rtxtrQ; - }; - - // queue of element draw requests at different scale levels - ETCp.getElementQueue = function () { - var self = this; - var q = self.eleCacheQueue = self.eleCacheQueue || new heap(function (a, b) { - return b.reqs - a.reqs; - }); - return q; - }; - - // queue of element draw requests at different scale levels (element id lookup) - ETCp.getElementKeyToQueue = function () { - var self = this; - var k2q = self.eleKeyToCacheQueue = self.eleKeyToCacheQueue || {}; - return k2q; - }; - ETCp.getElement = function (ele, bb, pxRatio, lvl, reason) { - var self = this; - var r = this.renderer; - var zoom = r.cy.zoom(); - var lookup = this.lookup; - if (!bb || bb.w === 0 || bb.h === 0 || isNaN(bb.w) || isNaN(bb.h) || !ele.visible() || ele.removed()) { - return null; - } - if (!self.allowEdgeTxrCaching && ele.isEdge() || !self.allowParentTxrCaching && ele.isParent()) { - return null; - } - if (lvl == null) { - lvl = Math.ceil(log2(zoom * pxRatio)); - } - if (lvl < minLvl$1) { - lvl = minLvl$1; - } else if (zoom >= maxZoom$1 || lvl > maxLvl$1) { - return null; - } - var scale = Math.pow(2, lvl); - var eleScaledH = bb.h * scale; - var eleScaledW = bb.w * scale; - var scaledLabelShown = r.eleTextBiggerThanMin(ele, scale); - if (!this.isVisible(ele, scaledLabelShown)) { - return null; - } - var eleCache = lookup.get(ele, lvl); - - // if this get was on an unused/invalidated cache, then restore the texture usage metric - if (eleCache && eleCache.invalidated) { - eleCache.invalidated = false; - eleCache.texture.invalidatedWidth -= eleCache.width; - } - if (eleCache) { - return eleCache; - } - var txrH; // which texture height this ele belongs to - - if (eleScaledH <= minTxrH) { - txrH = minTxrH; - } else if (eleScaledH <= txrStepH) { - txrH = txrStepH; - } else { - txrH = Math.ceil(eleScaledH / txrStepH) * txrStepH; - } - if (eleScaledH > maxTxrH || eleScaledW > maxTxrW) { - return null; // caching large elements is not efficient - } - - var txrQ = self.getTextureQueue(txrH); - - // first try the second last one in case it has space at the end - var txr = txrQ[txrQ.length - 2]; - var addNewTxr = function addNewTxr() { - return self.recycleTexture(txrH, eleScaledW) || self.addTexture(txrH, eleScaledW); - }; - - // try the last one if there is no second last one - if (!txr) { - txr = txrQ[txrQ.length - 1]; - } - - // if the last one doesn't exist, we need a first one - if (!txr) { - txr = addNewTxr(); - } - - // if there's no room in the current texture, we need a new one - if (txr.width - txr.usedWidth < eleScaledW) { - txr = addNewTxr(); - } - var scalableFrom = function scalableFrom(otherCache) { - return otherCache && otherCache.scaledLabelShown === scaledLabelShown; - }; - var deqing = reason && reason === getTxrReasons.dequeue; - var highQualityReq = reason && reason === getTxrReasons.highQuality; - var downscaleReq = reason && reason === getTxrReasons.downscale; - var higherCache; // the nearest cache with a higher level - for (var l = lvl + 1; l <= maxLvl$1; l++) { - var c = lookup.get(ele, l); - if (c) { - higherCache = c; - break; - } - } - var oneUpCache = higherCache && higherCache.level === lvl + 1 ? higherCache : null; - var downscale = function downscale() { - txr.context.drawImage(oneUpCache.texture.canvas, oneUpCache.x, 0, oneUpCache.width, oneUpCache.height, txr.usedWidth, 0, eleScaledW, eleScaledH); - }; - - // reset ele area in texture - txr.context.setTransform(1, 0, 0, 1, 0, 0); - txr.context.clearRect(txr.usedWidth, 0, eleScaledW, txrH); - if (scalableFrom(oneUpCache)) { - // then we can relatively cheaply rescale the existing image w/o rerendering - downscale(); - } else if (scalableFrom(higherCache)) { - // then use the higher cache for now and queue the next level down - // to cheaply scale towards the smaller level - - if (highQualityReq) { - for (var _l = higherCache.level; _l > lvl; _l--) { - oneUpCache = self.getElement(ele, bb, pxRatio, _l, getTxrReasons.downscale); - } - downscale(); - } else { - self.queueElement(ele, higherCache.level - 1); - return higherCache; - } - } else { - var lowerCache; // the nearest cache with a lower level - if (!deqing && !highQualityReq && !downscaleReq) { - for (var _l2 = lvl - 1; _l2 >= minLvl$1; _l2--) { - var _c = lookup.get(ele, _l2); - if (_c) { - lowerCache = _c; - break; - } - } - } - if (scalableFrom(lowerCache)) { - // then use the lower quality cache for now and queue the better one for later - - self.queueElement(ele, lvl); - return lowerCache; - } - txr.context.translate(txr.usedWidth, 0); - txr.context.scale(scale, scale); - this.drawElement(txr.context, ele, bb, scaledLabelShown, false); - txr.context.scale(1 / scale, 1 / scale); - txr.context.translate(-txr.usedWidth, 0); - } - eleCache = { - x: txr.usedWidth, - texture: txr, - level: lvl, - scale: scale, - width: eleScaledW, - height: eleScaledH, - scaledLabelShown: scaledLabelShown - }; - txr.usedWidth += Math.ceil(eleScaledW + eleTxrSpacing); - txr.eleCaches.push(eleCache); - lookup.set(ele, lvl, eleCache); - self.checkTextureFullness(txr); - return eleCache; - }; - ETCp.invalidateElements = function (eles) { - for (var i = 0; i < eles.length; i++) { - this.invalidateElement(eles[i]); - } - }; - ETCp.invalidateElement = function (ele) { - var self = this; - var lookup = self.lookup; - var caches = []; - var invalid = lookup.isInvalid(ele); - if (!invalid) { - return; // override the invalidation request if the element key has not changed - } - - for (var lvl = minLvl$1; lvl <= maxLvl$1; lvl++) { - var cache = lookup.getForCachedKey(ele, lvl); - if (cache) { - caches.push(cache); - } - } - var noOtherElesUseCache = lookup.invalidate(ele); - if (noOtherElesUseCache) { - for (var i = 0; i < caches.length; i++) { - var _cache = caches[i]; - var txr = _cache.texture; - - // remove space from the texture it belongs to - txr.invalidatedWidth += _cache.width; - - // mark the cache as invalidated - _cache.invalidated = true; - - // retire the texture if its utility is low - self.checkTextureUtility(txr); - } - } - - // remove from queue since the old req was for the old state - self.removeFromQueue(ele); - }; - ETCp.checkTextureUtility = function (txr) { - // invalidate all entries in the cache if the cache size is small - if (txr.invalidatedWidth >= minUtility * txr.width) { - this.retireTexture(txr); - } - }; - ETCp.checkTextureFullness = function (txr) { - // if texture has been mostly filled and passed over several times, remove - // it from the queue so we don't need to waste time looking at it to put new things - - var self = this; - var txrQ = self.getTextureQueue(txr.height); - if (txr.usedWidth / txr.width > maxFullness && txr.fullnessChecks >= maxFullnessChecks) { - removeFromArray(txrQ, txr); - } else { - txr.fullnessChecks++; - } - }; - ETCp.retireTexture = function (txr) { - var self = this; - var txrH = txr.height; - var txrQ = self.getTextureQueue(txrH); - var lookup = this.lookup; - - // retire the texture from the active / searchable queue: - - removeFromArray(txrQ, txr); - txr.retired = true; - - // remove the refs from the eles to the caches: - - var eleCaches = txr.eleCaches; - for (var i = 0; i < eleCaches.length; i++) { - var eleCache = eleCaches[i]; - lookup.deleteCache(eleCache.key, eleCache.level); - } - clearArray(eleCaches); - - // add the texture to a retired queue so it can be recycled in future: - - var rtxtrQ = self.getRetiredTextureQueue(txrH); - rtxtrQ.push(txr); - }; - ETCp.addTexture = function (txrH, minW) { - var self = this; - var txrQ = self.getTextureQueue(txrH); - var txr = {}; - txrQ.push(txr); - txr.eleCaches = []; - txr.height = txrH; - txr.width = Math.max(defTxrWidth, minW); - txr.usedWidth = 0; - txr.invalidatedWidth = 0; - txr.fullnessChecks = 0; - txr.canvas = self.renderer.makeOffscreenCanvas(txr.width, txr.height); - txr.context = txr.canvas.getContext('2d'); - return txr; - }; - ETCp.recycleTexture = function (txrH, minW) { - var self = this; - var txrQ = self.getTextureQueue(txrH); - var rtxtrQ = self.getRetiredTextureQueue(txrH); - for (var i = 0; i < rtxtrQ.length; i++) { - var txr = rtxtrQ[i]; - if (txr.width >= minW) { - txr.retired = false; - txr.usedWidth = 0; - txr.invalidatedWidth = 0; - txr.fullnessChecks = 0; - clearArray(txr.eleCaches); - txr.context.setTransform(1, 0, 0, 1, 0, 0); - txr.context.clearRect(0, 0, txr.width, txr.height); - removeFromArray(rtxtrQ, txr); - txrQ.push(txr); - return txr; - } - } - }; - ETCp.queueElement = function (ele, lvl) { - var self = this; - var q = self.getElementQueue(); - var k2q = self.getElementKeyToQueue(); - var key = this.getKey(ele); - var existingReq = k2q[key]; - if (existingReq) { - // use the max lvl b/c in between lvls are cheap to make - existingReq.level = Math.max(existingReq.level, lvl); - existingReq.eles.merge(ele); - existingReq.reqs++; - q.updateItem(existingReq); - } else { - var req = { - eles: ele.spawn().merge(ele), - level: lvl, - reqs: 1, - key: key - }; - q.push(req); - k2q[key] = req; - } - }; - ETCp.dequeue = function (pxRatio /*, extent*/) { - var self = this; - var q = self.getElementQueue(); - var k2q = self.getElementKeyToQueue(); - var dequeued = []; - var lookup = self.lookup; - for (var i = 0; i < maxDeqSize$1; i++) { - if (q.size() > 0) { - var req = q.pop(); - var key = req.key; - var ele = req.eles[0]; // all eles have the same key - var cacheExists = lookup.hasCache(ele, req.level); - - // clear out the key to req lookup - k2q[key] = null; - - // dequeueing isn't necessary with an existing cache - if (cacheExists) { - continue; - } - dequeued.push(req); - var bb = self.getBoundingBox(ele); - self.getElement(ele, bb, pxRatio, req.level, getTxrReasons.dequeue); - } else { - break; - } - } - return dequeued; - }; - ETCp.removeFromQueue = function (ele) { - var self = this; - var q = self.getElementQueue(); - var k2q = self.getElementKeyToQueue(); - var key = this.getKey(ele); - var req = k2q[key]; - if (req != null) { - if (req.eles.length === 1) { - // remove if last ele in the req - // bring to front of queue - req.reqs = MAX_INT$1; - q.updateItem(req); - q.pop(); // remove from queue - - k2q[key] = null; // remove from lookup map - } else { - // otherwise just remove ele from req - req.eles.unmerge(ele); - } - } - }; - ETCp.onDequeue = function (fn) { - this.onDequeues.push(fn); - }; - ETCp.offDequeue = function (fn) { - removeFromArray(this.onDequeues, fn); - }; - ETCp.setupDequeueing = defs.setupDequeueing({ - deqRedrawThreshold: deqRedrawThreshold$1, - deqCost: deqCost$1, - deqAvgCost: deqAvgCost$1, - deqNoDrawCost: deqNoDrawCost$1, - deqFastCost: deqFastCost$1, - deq: function deq(self, pxRatio, extent) { - return self.dequeue(pxRatio, extent); - }, - onDeqd: function onDeqd(self, deqd) { - for (var i = 0; i < self.onDequeues.length; i++) { - var fn = self.onDequeues[i]; - fn(deqd); - } - }, - shouldRedraw: function shouldRedraw(self, deqd, pxRatio, extent) { - for (var i = 0; i < deqd.length; i++) { - var eles = deqd[i].eles; - for (var j = 0; j < eles.length; j++) { - var bb = eles[j].boundingBox(); - if (boundingBoxesIntersect(bb, extent)) { - return true; - } - } - } - return false; - }, - priority: function priority(self) { - return self.renderer.beforeRenderPriorities.eleTxrDeq; - } - }); - - var defNumLayers = 1; // default number of layers to use - var minLvl = -4; // when scaling smaller than that we don't need to re-render - var maxLvl = 2; // when larger than this scale just render directly (caching is not helpful) - var maxZoom = 3.99; // beyond this zoom level, layered textures are not used - var deqRedrawThreshold = 50; // time to batch redraws together from dequeueing to allow more dequeueing calcs to happen in the meanwhile - var refineEleDebounceTime = 50; // time to debounce sharper ele texture updates - var deqCost = 0.15; // % of add'l rendering cost allowed for dequeuing ele caches each frame - var deqAvgCost = 0.1; // % of add'l rendering cost compared to average overall redraw time - var deqNoDrawCost = 0.9; // % of avg frame time that can be used for dequeueing when not drawing - var deqFastCost = 0.9; // % of frame time to be used when >60fps - var maxDeqSize = 1; // number of eles to dequeue and render at higher texture in each batch - var invalidThreshold = 250; // time threshold for disabling b/c of invalidations - var maxLayerArea = 4000 * 4000; // layers can't be bigger than this - var useHighQualityEleTxrReqs = true; // whether to use high quality ele txr requests (generally faster and cheaper in the longterm) - - // var log = function(){ console.log.apply( console, arguments ); }; - - var LayeredTextureCache = function LayeredTextureCache(renderer) { - var self = this; - var r = self.renderer = renderer; - var cy = r.cy; - self.layersByLevel = {}; // e.g. 2 => [ layer1, layer2, ..., layerN ] - - self.firstGet = true; - self.lastInvalidationTime = performanceNow() - 2 * invalidThreshold; - self.skipping = false; - self.eleTxrDeqs = cy.collection(); - self.scheduleElementRefinement = debounce_1(function () { - self.refineElementTextures(self.eleTxrDeqs); - self.eleTxrDeqs.unmerge(self.eleTxrDeqs); - }, refineEleDebounceTime); - r.beforeRender(function (willDraw, now) { - if (now - self.lastInvalidationTime <= invalidThreshold) { - self.skipping = true; - } else { - self.skipping = false; - } - }, r.beforeRenderPriorities.lyrTxrSkip); - var qSort = function qSort(a, b) { - return b.reqs - a.reqs; - }; - self.layersQueue = new heap(qSort); - self.setupDequeueing(); - }; - var LTCp = LayeredTextureCache.prototype; - var layerIdPool = 0; - var MAX_INT = Math.pow(2, 53) - 1; - LTCp.makeLayer = function (bb, lvl) { - var scale = Math.pow(2, lvl); - var w = Math.ceil(bb.w * scale); - var h = Math.ceil(bb.h * scale); - var canvas = this.renderer.makeOffscreenCanvas(w, h); - var layer = { - id: layerIdPool = ++layerIdPool % MAX_INT, - bb: bb, - level: lvl, - width: w, - height: h, - canvas: canvas, - context: canvas.getContext('2d'), - eles: [], - elesQueue: [], - reqs: 0 - }; - - // log('make layer %s with w %s and h %s and lvl %s', layer.id, layer.width, layer.height, layer.level); - - var cxt = layer.context; - var dx = -layer.bb.x1; - var dy = -layer.bb.y1; - - // do the transform on creation to save cycles (it's the same for all eles) - cxt.scale(scale, scale); - cxt.translate(dx, dy); - return layer; - }; - LTCp.getLayers = function (eles, pxRatio, lvl) { - var self = this; - var r = self.renderer; - var cy = r.cy; - var zoom = cy.zoom(); - var firstGet = self.firstGet; - self.firstGet = false; - - // log('--\nget layers with %s eles', eles.length); - //log eles.map(function(ele){ return ele.id() }) ); - - if (lvl == null) { - lvl = Math.ceil(log2(zoom * pxRatio)); - if (lvl < minLvl) { - lvl = minLvl; - } else if (zoom >= maxZoom || lvl > maxLvl) { - return null; - } - } - self.validateLayersElesOrdering(lvl, eles); - var layersByLvl = self.layersByLevel; - var scale = Math.pow(2, lvl); - var layers = layersByLvl[lvl] = layersByLvl[lvl] || []; - var bb; - var lvlComplete = self.levelIsComplete(lvl, eles); - var tmpLayers; - var checkTempLevels = function checkTempLevels() { - var canUseAsTmpLvl = function canUseAsTmpLvl(l) { - self.validateLayersElesOrdering(l, eles); - if (self.levelIsComplete(l, eles)) { - tmpLayers = layersByLvl[l]; - return true; - } - }; - var checkLvls = function checkLvls(dir) { - if (tmpLayers) { - return; - } - for (var l = lvl + dir; minLvl <= l && l <= maxLvl; l += dir) { - if (canUseAsTmpLvl(l)) { - break; - } - } - }; - checkLvls(+1); - checkLvls(-1); - - // remove the invalid layers; they will be replaced as needed later in this function - for (var i = layers.length - 1; i >= 0; i--) { - var layer = layers[i]; - if (layer.invalid) { - removeFromArray(layers, layer); - } - } - }; - if (!lvlComplete) { - // if the current level is incomplete, then use the closest, best quality layerset temporarily - // and later queue the current layerset so we can get the proper quality level soon - - checkTempLevels(); - } else { - // log('level complete, using existing layers\n--'); - return layers; - } - var getBb = function getBb() { - if (!bb) { - bb = makeBoundingBox(); - for (var i = 0; i < eles.length; i++) { - updateBoundingBox(bb, eles[i].boundingBox()); - } - } - return bb; - }; - var makeLayer = function makeLayer(opts) { - opts = opts || {}; - var after = opts.after; - getBb(); - var area = bb.w * scale * (bb.h * scale); - if (area > maxLayerArea) { - return null; - } - var layer = self.makeLayer(bb, lvl); - if (after != null) { - var index = layers.indexOf(after) + 1; - layers.splice(index, 0, layer); - } else if (opts.insert === undefined || opts.insert) { - // no after specified => first layer made so put at start - layers.unshift(layer); - } - - // if( tmpLayers ){ - //self.queueLayer( layer ); - // } - - return layer; - }; - if (self.skipping && !firstGet) { - // log('skip layers'); - return null; - } - - // log('do layers'); - - var layer = null; - var maxElesPerLayer = eles.length / defNumLayers; - var allowLazyQueueing = !firstGet; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - var rs = ele._private.rscratch; - var caches = rs.imgLayerCaches = rs.imgLayerCaches || {}; - - // log('look at ele', ele.id()); - - var existingLayer = caches[lvl]; - if (existingLayer) { - // reuse layer for later eles - // log('reuse layer for', ele.id()); - layer = existingLayer; - continue; - } - if (!layer || layer.eles.length >= maxElesPerLayer || !boundingBoxInBoundingBox(layer.bb, ele.boundingBox())) { - // log('make new layer for ele %s', ele.id()); - - layer = makeLayer({ - insert: true, - after: layer - }); - - // if now layer can be built then we can't use layers at this level - if (!layer) { - return null; - } - - // log('new layer with id %s', layer.id); - } - - if (tmpLayers || allowLazyQueueing) { - // log('queue ele %s in layer %s', ele.id(), layer.id); - self.queueLayer(layer, ele); - } else { - // log('draw ele %s in layer %s', ele.id(), layer.id); - self.drawEleInLayer(layer, ele, lvl, pxRatio); - } - layer.eles.push(ele); - caches[lvl] = layer; - } - - // log('--'); - - if (tmpLayers) { - // then we only queued the current layerset and can't draw it yet - return tmpLayers; - } - if (allowLazyQueueing) { - // log('lazy queue level', lvl); - return null; - } - return layers; - }; - - // a layer may want to use an ele cache of a higher level to avoid blurriness - // so the layer level might not equal the ele level - LTCp.getEleLevelForLayerLevel = function (lvl, pxRatio) { - return lvl; - }; - LTCp.drawEleInLayer = function (layer, ele, lvl, pxRatio) { - var self = this; - var r = this.renderer; - var context = layer.context; - var bb = ele.boundingBox(); - if (bb.w === 0 || bb.h === 0 || !ele.visible()) { - return; - } - lvl = self.getEleLevelForLayerLevel(lvl, pxRatio); - { - r.setImgSmoothing(context, false); - } - { - r.drawCachedElement(context, ele, null, null, lvl, useHighQualityEleTxrReqs); - } - { - r.setImgSmoothing(context, true); - } - }; - LTCp.levelIsComplete = function (lvl, eles) { - var self = this; - var layers = self.layersByLevel[lvl]; - if (!layers || layers.length === 0) { - return false; - } - var numElesInLayers = 0; - for (var i = 0; i < layers.length; i++) { - var layer = layers[i]; - - // if there are any eles needed to be drawn yet, the level is not complete - if (layer.reqs > 0) { - return false; - } - - // if the layer is invalid, the level is not complete - if (layer.invalid) { - return false; - } - numElesInLayers += layer.eles.length; - } - - // we should have exactly the number of eles passed in to be complete - if (numElesInLayers !== eles.length) { - return false; - } - return true; - }; - LTCp.validateLayersElesOrdering = function (lvl, eles) { - var layers = this.layersByLevel[lvl]; - if (!layers) { - return; - } - - // if in a layer the eles are not in the same order, then the layer is invalid - // (i.e. there is an ele in between the eles in the layer) - - for (var i = 0; i < layers.length; i++) { - var layer = layers[i]; - var offset = -1; - - // find the offset - for (var j = 0; j < eles.length; j++) { - if (layer.eles[0] === eles[j]) { - offset = j; - break; - } - } - if (offset < 0) { - // then the layer has nonexistent elements and is invalid - this.invalidateLayer(layer); - continue; - } - - // the eles in the layer must be in the same continuous order, else the layer is invalid - - var o = offset; - for (var j = 0; j < layer.eles.length; j++) { - if (layer.eles[j] !== eles[o + j]) { - // log('invalidate based on ordering', layer.id); - - this.invalidateLayer(layer); - break; - } - } - } - }; - LTCp.updateElementsInLayers = function (eles, update) { - var self = this; - var isEles = element(eles[0]); - - // collect udpated elements (cascaded from the layers) and update each - // layer itself along the way - for (var i = 0; i < eles.length; i++) { - var req = isEles ? null : eles[i]; - var ele = isEles ? eles[i] : eles[i].ele; - var rs = ele._private.rscratch; - var caches = rs.imgLayerCaches = rs.imgLayerCaches || {}; - for (var l = minLvl; l <= maxLvl; l++) { - var layer = caches[l]; - if (!layer) { - continue; - } - - // if update is a request from the ele cache, then it affects only - // the matching level - if (req && self.getEleLevelForLayerLevel(layer.level) !== req.level) { - continue; - } - update(layer, ele, req); - } - } - }; - LTCp.haveLayers = function () { - var self = this; - var haveLayers = false; - for (var l = minLvl; l <= maxLvl; l++) { - var layers = self.layersByLevel[l]; - if (layers && layers.length > 0) { - haveLayers = true; - break; - } - } - return haveLayers; - }; - LTCp.invalidateElements = function (eles) { - var self = this; - if (eles.length === 0) { - return; - } - self.lastInvalidationTime = performanceNow(); - - // log('update invalidate layer time from eles'); - - if (eles.length === 0 || !self.haveLayers()) { - return; - } - self.updateElementsInLayers(eles, function invalAssocLayers(layer, ele, req) { - self.invalidateLayer(layer); - }); - }; - LTCp.invalidateLayer = function (layer) { - // log('update invalidate layer time'); - - this.lastInvalidationTime = performanceNow(); - if (layer.invalid) { - return; - } // save cycles - - var lvl = layer.level; - var eles = layer.eles; - var layers = this.layersByLevel[lvl]; - - // log('invalidate layer', layer.id ); - - removeFromArray(layers, layer); - // layer.eles = []; - - layer.elesQueue = []; - layer.invalid = true; - if (layer.replacement) { - layer.replacement.invalid = true; - } - for (var i = 0; i < eles.length; i++) { - var caches = eles[i]._private.rscratch.imgLayerCaches; - if (caches) { - caches[lvl] = null; - } - } - }; - LTCp.refineElementTextures = function (eles) { - var self = this; - - // log('refine', eles.length); - - self.updateElementsInLayers(eles, function refineEachEle(layer, ele, req) { - var rLyr = layer.replacement; - if (!rLyr) { - rLyr = layer.replacement = self.makeLayer(layer.bb, layer.level); - rLyr.replaces = layer; - rLyr.eles = layer.eles; - - // log('make replacement layer %s for %s with level %s', rLyr.id, layer.id, rLyr.level); - } - - if (!rLyr.reqs) { - for (var i = 0; i < rLyr.eles.length; i++) { - self.queueLayer(rLyr, rLyr.eles[i]); - } - - // log('queue replacement layer refinement', rLyr.id); - } - }); - }; - - LTCp.enqueueElementRefinement = function (ele) { - this.eleTxrDeqs.merge(ele); - this.scheduleElementRefinement(); - }; - LTCp.queueLayer = function (layer, ele) { - var self = this; - var q = self.layersQueue; - var elesQ = layer.elesQueue; - var hasId = elesQ.hasId = elesQ.hasId || {}; - - // if a layer is going to be replaced, queuing is a waste of time - if (layer.replacement) { - return; - } - if (ele) { - if (hasId[ele.id()]) { - return; - } - elesQ.push(ele); - hasId[ele.id()] = true; - } - if (layer.reqs) { - layer.reqs++; - q.updateItem(layer); - } else { - layer.reqs = 1; - q.push(layer); - } - }; - LTCp.dequeue = function (pxRatio) { - var self = this; - var q = self.layersQueue; - var deqd = []; - var eleDeqs = 0; - while (eleDeqs < maxDeqSize) { - if (q.size() === 0) { - break; - } - var layer = q.peek(); - - // if a layer has been or will be replaced, then don't waste time with it - if (layer.replacement) { - // log('layer %s in queue skipped b/c it already has a replacement', layer.id); - q.pop(); - continue; - } - - // if this is a replacement layer that has been superceded, then forget it - if (layer.replaces && layer !== layer.replaces.replacement) { - // log('layer is no longer the most uptodate replacement; dequeued', layer.id) - q.pop(); - continue; - } - if (layer.invalid) { - // log('replacement layer %s is invalid; dequeued', layer.id); - q.pop(); - continue; - } - var ele = layer.elesQueue.shift(); - if (ele) { - // log('dequeue layer %s', layer.id); - - self.drawEleInLayer(layer, ele, layer.level, pxRatio); - eleDeqs++; - } - if (deqd.length === 0) { - // we need only one entry in deqd to queue redrawing etc - deqd.push(true); - } - - // if the layer has all its eles done, then remove from the queue - if (layer.elesQueue.length === 0) { - q.pop(); - layer.reqs = 0; - - // log('dequeue of layer %s complete', layer.id); - - // when a replacement layer is dequeued, it replaces the old layer in the level - if (layer.replaces) { - self.applyLayerReplacement(layer); - } - self.requestRedraw(); - } - } - return deqd; - }; - LTCp.applyLayerReplacement = function (layer) { - var self = this; - var layersInLevel = self.layersByLevel[layer.level]; - var replaced = layer.replaces; - var index = layersInLevel.indexOf(replaced); - - // if the replaced layer is not in the active list for the level, then replacing - // refs would be a mistake (i.e. overwriting the true active layer) - if (index < 0 || replaced.invalid) { - // log('replacement layer would have no effect', layer.id); - return; - } - layersInLevel[index] = layer; // replace level ref - - // replace refs in eles - for (var i = 0; i < layer.eles.length; i++) { - var _p = layer.eles[i]._private; - var cache = _p.imgLayerCaches = _p.imgLayerCaches || {}; - if (cache) { - cache[layer.level] = layer; - } - } - - // log('apply replacement layer %s over %s', layer.id, replaced.id); - - self.requestRedraw(); - }; - LTCp.requestRedraw = debounce_1(function () { - var r = this.renderer; - r.redrawHint('eles', true); - r.redrawHint('drag', true); - r.redraw(); - }, 100); - LTCp.setupDequeueing = defs.setupDequeueing({ - deqRedrawThreshold: deqRedrawThreshold, - deqCost: deqCost, - deqAvgCost: deqAvgCost, - deqNoDrawCost: deqNoDrawCost, - deqFastCost: deqFastCost, - deq: function deq(self, pxRatio) { - return self.dequeue(pxRatio); - }, - onDeqd: noop$1, - shouldRedraw: trueify, - priority: function priority(self) { - return self.renderer.beforeRenderPriorities.lyrTxrDeq; - } - }); - - var CRp$a = {}; - var impl; - function polygon(context, points) { - for (var i = 0; i < points.length; i++) { - var pt = points[i]; - context.lineTo(pt.x, pt.y); - } - } - function triangleBackcurve(context, points, controlPoint) { - var firstPt; - for (var i = 0; i < points.length; i++) { - var pt = points[i]; - if (i === 0) { - firstPt = pt; - } - context.lineTo(pt.x, pt.y); - } - context.quadraticCurveTo(controlPoint.x, controlPoint.y, firstPt.x, firstPt.y); - } - function triangleTee(context, trianglePoints, teePoints) { - if (context.beginPath) { - context.beginPath(); - } - var triPts = trianglePoints; - for (var i = 0; i < triPts.length; i++) { - var pt = triPts[i]; - context.lineTo(pt.x, pt.y); - } - var teePts = teePoints; - var firstTeePt = teePoints[0]; - context.moveTo(firstTeePt.x, firstTeePt.y); - for (var i = 1; i < teePts.length; i++) { - var pt = teePts[i]; - context.lineTo(pt.x, pt.y); - } - if (context.closePath) { - context.closePath(); - } - } - function circleTriangle(context, trianglePoints, rx, ry, r) { - if (context.beginPath) { - context.beginPath(); - } - context.arc(rx, ry, r, 0, Math.PI * 2, false); - var triPts = trianglePoints; - var firstTrPt = triPts[0]; - context.moveTo(firstTrPt.x, firstTrPt.y); - for (var i = 0; i < triPts.length; i++) { - var pt = triPts[i]; - context.lineTo(pt.x, pt.y); - } - if (context.closePath) { - context.closePath(); - } - } - function circle(context, rx, ry, r) { - context.arc(rx, ry, r, 0, Math.PI * 2, false); - } - CRp$a.arrowShapeImpl = function (name) { - return (impl || (impl = { - 'polygon': polygon, - 'triangle-backcurve': triangleBackcurve, - 'triangle-tee': triangleTee, - 'circle-triangle': circleTriangle, - 'triangle-cross': triangleTee, - 'circle': circle - }))[name]; - }; - - var CRp$9 = {}; - CRp$9.drawElement = function (context, ele, shiftToOriginWithBb, showLabel, showOverlay, showOpacity) { - var r = this; - if (ele.isNode()) { - r.drawNode(context, ele, shiftToOriginWithBb, showLabel, showOverlay, showOpacity); - } else { - r.drawEdge(context, ele, shiftToOriginWithBb, showLabel, showOverlay, showOpacity); - } - }; - CRp$9.drawElementOverlay = function (context, ele) { - var r = this; - if (ele.isNode()) { - r.drawNodeOverlay(context, ele); - } else { - r.drawEdgeOverlay(context, ele); - } - }; - CRp$9.drawElementUnderlay = function (context, ele) { - var r = this; - if (ele.isNode()) { - r.drawNodeUnderlay(context, ele); - } else { - r.drawEdgeUnderlay(context, ele); - } - }; - CRp$9.drawCachedElementPortion = function (context, ele, eleTxrCache, pxRatio, lvl, reason, getRotation, getOpacity) { - var r = this; - var bb = eleTxrCache.getBoundingBox(ele); - if (bb.w === 0 || bb.h === 0) { - return; - } // ignore zero size case - - var eleCache = eleTxrCache.getElement(ele, bb, pxRatio, lvl, reason); - if (eleCache != null) { - var opacity = getOpacity(r, ele); - if (opacity === 0) { - return; - } - var theta = getRotation(r, ele); - var x1 = bb.x1, - y1 = bb.y1, - w = bb.w, - h = bb.h; - var x, y, sx, sy, smooth; - if (theta !== 0) { - var rotPt = eleTxrCache.getRotationPoint(ele); - sx = rotPt.x; - sy = rotPt.y; - context.translate(sx, sy); - context.rotate(theta); - smooth = r.getImgSmoothing(context); - if (!smooth) { - r.setImgSmoothing(context, true); - } - var off = eleTxrCache.getRotationOffset(ele); - x = off.x; - y = off.y; - } else { - x = x1; - y = y1; - } - var oldGlobalAlpha; - if (opacity !== 1) { - oldGlobalAlpha = context.globalAlpha; - context.globalAlpha = oldGlobalAlpha * opacity; - } - context.drawImage(eleCache.texture.canvas, eleCache.x, 0, eleCache.width, eleCache.height, x, y, w, h); - if (opacity !== 1) { - context.globalAlpha = oldGlobalAlpha; - } - if (theta !== 0) { - context.rotate(-theta); - context.translate(-sx, -sy); - if (!smooth) { - r.setImgSmoothing(context, false); - } - } - } else { - eleTxrCache.drawElement(context, ele); // direct draw fallback - } - }; - - var getZeroRotation = function getZeroRotation() { - return 0; - }; - var getLabelRotation = function getLabelRotation(r, ele) { - return r.getTextAngle(ele, null); - }; - var getSourceLabelRotation = function getSourceLabelRotation(r, ele) { - return r.getTextAngle(ele, 'source'); - }; - var getTargetLabelRotation = function getTargetLabelRotation(r, ele) { - return r.getTextAngle(ele, 'target'); - }; - var getOpacity = function getOpacity(r, ele) { - return ele.effectiveOpacity(); - }; - var getTextOpacity = function getTextOpacity(e, ele) { - return ele.pstyle('text-opacity').pfValue * ele.effectiveOpacity(); - }; - CRp$9.drawCachedElement = function (context, ele, pxRatio, extent, lvl, requestHighQuality) { - var r = this; - var _r$data = r.data, - eleTxrCache = _r$data.eleTxrCache, - lblTxrCache = _r$data.lblTxrCache, - slbTxrCache = _r$data.slbTxrCache, - tlbTxrCache = _r$data.tlbTxrCache; - var bb = ele.boundingBox(); - var reason = requestHighQuality === true ? eleTxrCache.reasons.highQuality : null; - if (bb.w === 0 || bb.h === 0 || !ele.visible()) { - return; - } - if (!extent || boundingBoxesIntersect(bb, extent)) { - var isEdge = ele.isEdge(); - var badLine = ele.element()._private.rscratch.badLine; - r.drawElementUnderlay(context, ele); - r.drawCachedElementPortion(context, ele, eleTxrCache, pxRatio, lvl, reason, getZeroRotation, getOpacity); - if (!isEdge || !badLine) { - r.drawCachedElementPortion(context, ele, lblTxrCache, pxRatio, lvl, reason, getLabelRotation, getTextOpacity); - } - if (isEdge && !badLine) { - r.drawCachedElementPortion(context, ele, slbTxrCache, pxRatio, lvl, reason, getSourceLabelRotation, getTextOpacity); - r.drawCachedElementPortion(context, ele, tlbTxrCache, pxRatio, lvl, reason, getTargetLabelRotation, getTextOpacity); - } - r.drawElementOverlay(context, ele); - } - }; - CRp$9.drawElements = function (context, eles) { - var r = this; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - r.drawElement(context, ele); - } - }; - CRp$9.drawCachedElements = function (context, eles, pxRatio, extent) { - var r = this; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - r.drawCachedElement(context, ele, pxRatio, extent); - } - }; - CRp$9.drawCachedNodes = function (context, eles, pxRatio, extent) { - var r = this; - for (var i = 0; i < eles.length; i++) { - var ele = eles[i]; - if (!ele.isNode()) { - continue; - } - r.drawCachedElement(context, ele, pxRatio, extent); - } - }; - CRp$9.drawLayeredElements = function (context, eles, pxRatio, extent) { - var r = this; - var layers = r.data.lyrTxrCache.getLayers(eles, pxRatio); - if (layers) { - for (var i = 0; i < layers.length; i++) { - var layer = layers[i]; - var bb = layer.bb; - if (bb.w === 0 || bb.h === 0) { - continue; - } - context.drawImage(layer.canvas, bb.x1, bb.y1, bb.w, bb.h); - } - } else { - // fall back on plain caching if no layers - r.drawCachedElements(context, eles, pxRatio, extent); - } - }; - - /* global Path2D */ - var CRp$8 = {}; - CRp$8.drawEdge = function (context, edge, shiftToOriginWithBb) { - var drawLabel = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true; - var shouldDrawOverlay = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true; - var shouldDrawOpacity = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : true; - var r = this; - var rs = edge._private.rscratch; - if (shouldDrawOpacity && !edge.visible()) { - return; - } - - // if bezier ctrl pts can not be calculated, then die - if (rs.badLine || rs.allpts == null || isNaN(rs.allpts[0])) { - // isNaN in case edge is impossible and browser bugs (e.g. safari) - return; - } - var bb; - if (shiftToOriginWithBb) { - bb = shiftToOriginWithBb; - context.translate(-bb.x1, -bb.y1); - } - var opacity = shouldDrawOpacity ? edge.pstyle('opacity').value : 1; - var lineOpacity = shouldDrawOpacity ? edge.pstyle('line-opacity').value : 1; - var curveStyle = edge.pstyle('curve-style').value; - var lineStyle = edge.pstyle('line-style').value; - var edgeWidth = edge.pstyle('width').pfValue; - var lineCap = edge.pstyle('line-cap').value; - var effectiveLineOpacity = opacity * lineOpacity; - // separate arrow opacity would require arrow-opacity property - var effectiveArrowOpacity = opacity * lineOpacity; - var drawLine = function drawLine() { - var strokeOpacity = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : effectiveLineOpacity; - if (curveStyle === 'straight-triangle') { - r.eleStrokeStyle(context, edge, strokeOpacity); - r.drawEdgeTrianglePath(edge, context, rs.allpts); - } else { - context.lineWidth = edgeWidth; - context.lineCap = lineCap; - r.eleStrokeStyle(context, edge, strokeOpacity); - r.drawEdgePath(edge, context, rs.allpts, lineStyle); - context.lineCap = 'butt'; // reset for other drawing functions - } - }; - - var drawOverlay = function drawOverlay() { - if (!shouldDrawOverlay) { - return; - } - r.drawEdgeOverlay(context, edge); - }; - var drawUnderlay = function drawUnderlay() { - if (!shouldDrawOverlay) { - return; - } - r.drawEdgeUnderlay(context, edge); - }; - var drawArrows = function drawArrows() { - var arrowOpacity = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : effectiveArrowOpacity; - r.drawArrowheads(context, edge, arrowOpacity); - }; - var drawText = function drawText() { - r.drawElementText(context, edge, null, drawLabel); - }; - context.lineJoin = 'round'; - var ghost = edge.pstyle('ghost').value === 'yes'; - if (ghost) { - var gx = edge.pstyle('ghost-offset-x').pfValue; - var gy = edge.pstyle('ghost-offset-y').pfValue; - var ghostOpacity = edge.pstyle('ghost-opacity').value; - var effectiveGhostOpacity = effectiveLineOpacity * ghostOpacity; - context.translate(gx, gy); - drawLine(effectiveGhostOpacity); - drawArrows(effectiveGhostOpacity); - context.translate(-gx, -gy); - } - drawUnderlay(); - drawLine(); - drawArrows(); - drawOverlay(); - drawText(); - if (shiftToOriginWithBb) { - context.translate(bb.x1, bb.y1); - } - }; - var drawEdgeOverlayUnderlay = function drawEdgeOverlayUnderlay(overlayOrUnderlay) { - if (!['overlay', 'underlay'].includes(overlayOrUnderlay)) { - throw new Error('Invalid state'); - } - return function (context, edge) { - if (!edge.visible()) { - return; - } - var opacity = edge.pstyle("".concat(overlayOrUnderlay, "-opacity")).value; - if (opacity === 0) { - return; - } - var r = this; - var usePaths = r.usePaths(); - var rs = edge._private.rscratch; - var padding = edge.pstyle("".concat(overlayOrUnderlay, "-padding")).pfValue; - var width = 2 * padding; - var color = edge.pstyle("".concat(overlayOrUnderlay, "-color")).value; - context.lineWidth = width; - if (rs.edgeType === 'self' && !usePaths) { - context.lineCap = 'butt'; - } else { - context.lineCap = 'round'; - } - r.colorStrokeStyle(context, color[0], color[1], color[2], opacity); - r.drawEdgePath(edge, context, rs.allpts, 'solid'); - }; - }; - CRp$8.drawEdgeOverlay = drawEdgeOverlayUnderlay('overlay'); - CRp$8.drawEdgeUnderlay = drawEdgeOverlayUnderlay('underlay'); - CRp$8.drawEdgePath = function (edge, context, pts, type) { - var rs = edge._private.rscratch; - var canvasCxt = context; - var path; - var pathCacheHit = false; - var usePaths = this.usePaths(); - var lineDashPattern = edge.pstyle('line-dash-pattern').pfValue; - var lineDashOffset = edge.pstyle('line-dash-offset').pfValue; - if (usePaths) { - var pathCacheKey = pts.join('$'); - var keyMatches = rs.pathCacheKey && rs.pathCacheKey === pathCacheKey; - if (keyMatches) { - path = context = rs.pathCache; - pathCacheHit = true; - } else { - path = context = new Path2D(); - rs.pathCacheKey = pathCacheKey; - rs.pathCache = path; - } - } - if (canvasCxt.setLineDash) { - // for very outofdate browsers - switch (type) { - case 'dotted': - canvasCxt.setLineDash([1, 1]); - break; - case 'dashed': - canvasCxt.setLineDash(lineDashPattern); - canvasCxt.lineDashOffset = lineDashOffset; - break; - case 'solid': - canvasCxt.setLineDash([]); - break; - } - } - if (!pathCacheHit && !rs.badLine) { - if (context.beginPath) { - context.beginPath(); - } - context.moveTo(pts[0], pts[1]); - switch (rs.edgeType) { - case 'bezier': - case 'self': - case 'compound': - case 'multibezier': - for (var i = 2; i + 3 < pts.length; i += 4) { - context.quadraticCurveTo(pts[i], pts[i + 1], pts[i + 2], pts[i + 3]); - } - break; - case 'straight': - case 'segments': - case 'haystack': - for (var _i = 2; _i + 1 < pts.length; _i += 2) { - context.lineTo(pts[_i], pts[_i + 1]); - } - break; - } - } - context = canvasCxt; - if (usePaths) { - context.stroke(path); - } else { - context.stroke(); - } - - // reset any line dashes - if (context.setLineDash) { - // for very outofdate browsers - context.setLineDash([]); - } - }; - CRp$8.drawEdgeTrianglePath = function (edge, context, pts) { - // use line stroke style for triangle fill style - context.fillStyle = context.strokeStyle; - var edgeWidth = edge.pstyle('width').pfValue; - for (var i = 0; i + 1 < pts.length; i += 2) { - var vector = [pts[i + 2] - pts[i], pts[i + 3] - pts[i + 1]]; - var length = Math.sqrt(vector[0] * vector[0] + vector[1] * vector[1]); - var normal = [vector[1] / length, -vector[0] / length]; - var triangleHead = [normal[0] * edgeWidth / 2, normal[1] * edgeWidth / 2]; - context.beginPath(); - context.moveTo(pts[i] - triangleHead[0], pts[i + 1] - triangleHead[1]); - context.lineTo(pts[i] + triangleHead[0], pts[i + 1] + triangleHead[1]); - context.lineTo(pts[i + 2], pts[i + 3]); - context.closePath(); - context.fill(); - } - }; - CRp$8.drawArrowheads = function (context, edge, opacity) { - var rs = edge._private.rscratch; - var isHaystack = rs.edgeType === 'haystack'; - if (!isHaystack) { - this.drawArrowhead(context, edge, 'source', rs.arrowStartX, rs.arrowStartY, rs.srcArrowAngle, opacity); - } - this.drawArrowhead(context, edge, 'mid-target', rs.midX, rs.midY, rs.midtgtArrowAngle, opacity); - this.drawArrowhead(context, edge, 'mid-source', rs.midX, rs.midY, rs.midsrcArrowAngle, opacity); - if (!isHaystack) { - this.drawArrowhead(context, edge, 'target', rs.arrowEndX, rs.arrowEndY, rs.tgtArrowAngle, opacity); - } - }; - CRp$8.drawArrowhead = function (context, edge, prefix, x, y, angle, opacity) { - if (isNaN(x) || x == null || isNaN(y) || y == null || isNaN(angle) || angle == null) { - return; - } - var self = this; - var arrowShape = edge.pstyle(prefix + '-arrow-shape').value; - if (arrowShape === 'none') { - return; - } - var arrowClearFill = edge.pstyle(prefix + '-arrow-fill').value === 'hollow' ? 'both' : 'filled'; - var arrowFill = edge.pstyle(prefix + '-arrow-fill').value; - var edgeWidth = edge.pstyle('width').pfValue; - var pArrowWidth = edge.pstyle(prefix + '-arrow-width'); - var arrowWidth = pArrowWidth.value === 'match-line' ? edgeWidth : pArrowWidth.pfValue; - if (pArrowWidth.units === '%') arrowWidth *= edgeWidth; - var edgeOpacity = edge.pstyle('opacity').value; - if (opacity === undefined) { - opacity = edgeOpacity; - } - var gco = context.globalCompositeOperation; - if (opacity !== 1 || arrowFill === 'hollow') { - // then extra clear is needed - context.globalCompositeOperation = 'destination-out'; - self.colorFillStyle(context, 255, 255, 255, 1); - self.colorStrokeStyle(context, 255, 255, 255, 1); - self.drawArrowShape(edge, context, arrowClearFill, edgeWidth, arrowShape, arrowWidth, x, y, angle); - context.globalCompositeOperation = gco; - } // otherwise, the opaque arrow clears it for free :) - - var color = edge.pstyle(prefix + '-arrow-color').value; - self.colorFillStyle(context, color[0], color[1], color[2], opacity); - self.colorStrokeStyle(context, color[0], color[1], color[2], opacity); - self.drawArrowShape(edge, context, arrowFill, edgeWidth, arrowShape, arrowWidth, x, y, angle); - }; - CRp$8.drawArrowShape = function (edge, context, fill, edgeWidth, shape, shapeWidth, x, y, angle) { - var r = this; - var usePaths = this.usePaths() && shape !== 'triangle-cross'; - var pathCacheHit = false; - var path; - var canvasContext = context; - var translation = { - x: x, - y: y - }; - var scale = edge.pstyle('arrow-scale').value; - var size = this.getArrowWidth(edgeWidth, scale); - var shapeImpl = r.arrowShapes[shape]; - if (usePaths) { - var cache = r.arrowPathCache = r.arrowPathCache || []; - var key = hashString(shape); - var cachedPath = cache[key]; - if (cachedPath != null) { - path = context = cachedPath; - pathCacheHit = true; - } else { - path = context = new Path2D(); - cache[key] = path; - } - } - if (!pathCacheHit) { - if (context.beginPath) { - context.beginPath(); - } - if (usePaths) { - // store in the path cache with values easily manipulated later - shapeImpl.draw(context, 1, 0, { - x: 0, - y: 0 - }, 1); - } else { - shapeImpl.draw(context, size, angle, translation, edgeWidth); - } - if (context.closePath) { - context.closePath(); - } - } - context = canvasContext; - if (usePaths) { - // set transform to arrow position/orientation - context.translate(x, y); - context.rotate(angle); - context.scale(size, size); - } - if (fill === 'filled' || fill === 'both') { - if (usePaths) { - context.fill(path); - } else { - context.fill(); - } - } - if (fill === 'hollow' || fill === 'both') { - context.lineWidth = shapeWidth / (usePaths ? size : 1); - context.lineJoin = 'miter'; - if (usePaths) { - context.stroke(path); - } else { - context.stroke(); - } - } - if (usePaths) { - // reset transform by applying inverse - context.scale(1 / size, 1 / size); - context.rotate(-angle); - context.translate(-x, -y); - } - }; - - var CRp$7 = {}; - CRp$7.safeDrawImage = function (context, img, ix, iy, iw, ih, x, y, w, h) { - // detect problematic cases for old browsers with bad images (cheaper than try-catch) - if (iw <= 0 || ih <= 0 || w <= 0 || h <= 0) { - return; - } - try { - context.drawImage(img, ix, iy, iw, ih, x, y, w, h); - } catch (e) { - warn(e); - } - }; - CRp$7.drawInscribedImage = function (context, img, node, index, nodeOpacity) { - var r = this; - var pos = node.position(); - var nodeX = pos.x; - var nodeY = pos.y; - var styleObj = node.cy().style(); - var getIndexedStyle = styleObj.getIndexedStyle.bind(styleObj); - var fit = getIndexedStyle(node, 'background-fit', 'value', index); - var repeat = getIndexedStyle(node, 'background-repeat', 'value', index); - var nodeW = node.width(); - var nodeH = node.height(); - var paddingX2 = node.padding() * 2; - var nodeTW = nodeW + (getIndexedStyle(node, 'background-width-relative-to', 'value', index) === 'inner' ? 0 : paddingX2); - var nodeTH = nodeH + (getIndexedStyle(node, 'background-height-relative-to', 'value', index) === 'inner' ? 0 : paddingX2); - var rs = node._private.rscratch; - var clip = getIndexedStyle(node, 'background-clip', 'value', index); - var shouldClip = clip === 'node'; - var imgOpacity = getIndexedStyle(node, 'background-image-opacity', 'value', index) * nodeOpacity; - var smooth = getIndexedStyle(node, 'background-image-smoothing', 'value', index); - var imgW = img.width || img.cachedW; - var imgH = img.height || img.cachedH; - - // workaround for broken browsers like ie - if (null == imgW || null == imgH) { - document.body.appendChild(img); // eslint-disable-line no-undef - - imgW = img.cachedW = img.width || img.offsetWidth; - imgH = img.cachedH = img.height || img.offsetHeight; - document.body.removeChild(img); // eslint-disable-line no-undef - } - - var w = imgW; - var h = imgH; - if (getIndexedStyle(node, 'background-width', 'value', index) !== 'auto') { - if (getIndexedStyle(node, 'background-width', 'units', index) === '%') { - w = getIndexedStyle(node, 'background-width', 'pfValue', index) * nodeTW; - } else { - w = getIndexedStyle(node, 'background-width', 'pfValue', index); - } - } - if (getIndexedStyle(node, 'background-height', 'value', index) !== 'auto') { - if (getIndexedStyle(node, 'background-height', 'units', index) === '%') { - h = getIndexedStyle(node, 'background-height', 'pfValue', index) * nodeTH; - } else { - h = getIndexedStyle(node, 'background-height', 'pfValue', index); - } - } - if (w === 0 || h === 0) { - return; // no point in drawing empty image (and chrome is broken in this case) - } - - if (fit === 'contain') { - var scale = Math.min(nodeTW / w, nodeTH / h); - w *= scale; - h *= scale; - } else if (fit === 'cover') { - var scale = Math.max(nodeTW / w, nodeTH / h); - w *= scale; - h *= scale; - } - var x = nodeX - nodeTW / 2; // left - var posXUnits = getIndexedStyle(node, 'background-position-x', 'units', index); - var posXPfVal = getIndexedStyle(node, 'background-position-x', 'pfValue', index); - if (posXUnits === '%') { - x += (nodeTW - w) * posXPfVal; - } else { - x += posXPfVal; - } - var offXUnits = getIndexedStyle(node, 'background-offset-x', 'units', index); - var offXPfVal = getIndexedStyle(node, 'background-offset-x', 'pfValue', index); - if (offXUnits === '%') { - x += (nodeTW - w) * offXPfVal; - } else { - x += offXPfVal; - } - var y = nodeY - nodeTH / 2; // top - var posYUnits = getIndexedStyle(node, 'background-position-y', 'units', index); - var posYPfVal = getIndexedStyle(node, 'background-position-y', 'pfValue', index); - if (posYUnits === '%') { - y += (nodeTH - h) * posYPfVal; - } else { - y += posYPfVal; - } - var offYUnits = getIndexedStyle(node, 'background-offset-y', 'units', index); - var offYPfVal = getIndexedStyle(node, 'background-offset-y', 'pfValue', index); - if (offYUnits === '%') { - y += (nodeTH - h) * offYPfVal; - } else { - y += offYPfVal; - } - if (rs.pathCache) { - x -= nodeX; - y -= nodeY; - nodeX = 0; - nodeY = 0; - } - var gAlpha = context.globalAlpha; - context.globalAlpha = imgOpacity; - var smoothingEnabled = r.getImgSmoothing(context); - var isSmoothingSwitched = false; - if (smooth === 'no' && smoothingEnabled) { - r.setImgSmoothing(context, false); - isSmoothingSwitched = true; - } else if (smooth === 'yes' && !smoothingEnabled) { - r.setImgSmoothing(context, true); - isSmoothingSwitched = true; - } - if (repeat === 'no-repeat') { - if (shouldClip) { - context.save(); - if (rs.pathCache) { - context.clip(rs.pathCache); - } else { - r.nodeShapes[r.getNodeShape(node)].draw(context, nodeX, nodeY, nodeTW, nodeTH); - context.clip(); - } - } - r.safeDrawImage(context, img, 0, 0, imgW, imgH, x, y, w, h); - if (shouldClip) { - context.restore(); - } - } else { - var pattern = context.createPattern(img, repeat); - context.fillStyle = pattern; - r.nodeShapes[r.getNodeShape(node)].draw(context, nodeX, nodeY, nodeTW, nodeTH); - context.translate(x, y); - context.fill(); - context.translate(-x, -y); - } - context.globalAlpha = gAlpha; - if (isSmoothingSwitched) { - r.setImgSmoothing(context, smoothingEnabled); - } - }; - - var CRp$6 = {}; - CRp$6.eleTextBiggerThanMin = function (ele, scale) { - if (!scale) { - var zoom = ele.cy().zoom(); - var pxRatio = this.getPixelRatio(); - var lvl = Math.ceil(log2(zoom * pxRatio)); // the effective texture level - - scale = Math.pow(2, lvl); - } - var computedSize = ele.pstyle('font-size').pfValue * scale; - var minSize = ele.pstyle('min-zoomed-font-size').pfValue; - if (computedSize < minSize) { - return false; - } - return true; - }; - CRp$6.drawElementText = function (context, ele, shiftToOriginWithBb, force, prefix) { - var useEleOpacity = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : true; - var r = this; - if (force == null) { - if (useEleOpacity && !r.eleTextBiggerThanMin(ele)) { - return; - } - } else if (force === false) { - return; - } - if (ele.isNode()) { - var label = ele.pstyle('label'); - if (!label || !label.value) { - return; - } - var justification = r.getLabelJustification(ele); - context.textAlign = justification; - context.textBaseline = 'bottom'; - } else { - var badLine = ele.element()._private.rscratch.badLine; - var _label = ele.pstyle('label'); - var srcLabel = ele.pstyle('source-label'); - var tgtLabel = ele.pstyle('target-label'); - if (badLine || (!_label || !_label.value) && (!srcLabel || !srcLabel.value) && (!tgtLabel || !tgtLabel.value)) { - return; - } - context.textAlign = 'center'; - context.textBaseline = 'bottom'; - } - var applyRotation = !shiftToOriginWithBb; - var bb; - if (shiftToOriginWithBb) { - bb = shiftToOriginWithBb; - context.translate(-bb.x1, -bb.y1); - } - if (prefix == null) { - r.drawText(context, ele, null, applyRotation, useEleOpacity); - if (ele.isEdge()) { - r.drawText(context, ele, 'source', applyRotation, useEleOpacity); - r.drawText(context, ele, 'target', applyRotation, useEleOpacity); - } - } else { - r.drawText(context, ele, prefix, applyRotation, useEleOpacity); - } - if (shiftToOriginWithBb) { - context.translate(bb.x1, bb.y1); - } - }; - CRp$6.getFontCache = function (context) { - var cache; - this.fontCaches = this.fontCaches || []; - for (var i = 0; i < this.fontCaches.length; i++) { - cache = this.fontCaches[i]; - if (cache.context === context) { - return cache; - } - } - cache = { - context: context - }; - this.fontCaches.push(cache); - return cache; - }; - - // set up canvas context with font - // returns transformed text string - CRp$6.setupTextStyle = function (context, ele) { - var useEleOpacity = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : true; - // Font style - var labelStyle = ele.pstyle('font-style').strValue; - var labelSize = ele.pstyle('font-size').pfValue + 'px'; - var labelFamily = ele.pstyle('font-family').strValue; - var labelWeight = ele.pstyle('font-weight').strValue; - var opacity = useEleOpacity ? ele.effectiveOpacity() * ele.pstyle('text-opacity').value : 1; - var outlineOpacity = ele.pstyle('text-outline-opacity').value * opacity; - var color = ele.pstyle('color').value; - var outlineColor = ele.pstyle('text-outline-color').value; - context.font = labelStyle + ' ' + labelWeight + ' ' + labelSize + ' ' + labelFamily; - context.lineJoin = 'round'; // so text outlines aren't jagged - - this.colorFillStyle(context, color[0], color[1], color[2], opacity); - this.colorStrokeStyle(context, outlineColor[0], outlineColor[1], outlineColor[2], outlineOpacity); - }; - - // TODO ensure re-used - function roundRect(ctx, x, y, width, height) { - var radius = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : 5; - var stroke = arguments.length > 6 ? arguments[6] : undefined; - ctx.beginPath(); - ctx.moveTo(x + radius, y); - ctx.lineTo(x + width - radius, y); - ctx.quadraticCurveTo(x + width, y, x + width, y + radius); - ctx.lineTo(x + width, y + height - radius); - ctx.quadraticCurveTo(x + width, y + height, x + width - radius, y + height); - ctx.lineTo(x + radius, y + height); - ctx.quadraticCurveTo(x, y + height, x, y + height - radius); - ctx.lineTo(x, y + radius); - ctx.quadraticCurveTo(x, y, x + radius, y); - ctx.closePath(); - if (stroke) ctx.stroke();else ctx.fill(); - } - CRp$6.getTextAngle = function (ele, prefix) { - var theta; - var _p = ele._private; - var rscratch = _p.rscratch; - var pdash = prefix ? prefix + '-' : ''; - var rotation = ele.pstyle(pdash + 'text-rotation'); - var textAngle = getPrefixedProperty(rscratch, 'labelAngle', prefix); - if (rotation.strValue === 'autorotate') { - theta = ele.isEdge() ? textAngle : 0; - } else if (rotation.strValue === 'none') { - theta = 0; - } else { - theta = rotation.pfValue; - } - return theta; - }; - CRp$6.drawText = function (context, ele, prefix) { - var applyRotation = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true; - var useEleOpacity = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true; - var _p = ele._private; - var rscratch = _p.rscratch; - var parentOpacity = useEleOpacity ? ele.effectiveOpacity() : 1; - if (useEleOpacity && (parentOpacity === 0 || ele.pstyle('text-opacity').value === 0)) { - return; - } - - // use 'main' as an alias for the main label (i.e. null prefix) - if (prefix === 'main') { - prefix = null; - } - var textX = getPrefixedProperty(rscratch, 'labelX', prefix); - var textY = getPrefixedProperty(rscratch, 'labelY', prefix); - var orgTextX, orgTextY; // used for rotation - var text = this.getLabelText(ele, prefix); - if (text != null && text !== '' && !isNaN(textX) && !isNaN(textY)) { - this.setupTextStyle(context, ele, useEleOpacity); - var pdash = prefix ? prefix + '-' : ''; - var textW = getPrefixedProperty(rscratch, 'labelWidth', prefix); - var textH = getPrefixedProperty(rscratch, 'labelHeight', prefix); - var marginX = ele.pstyle(pdash + 'text-margin-x').pfValue; - var marginY = ele.pstyle(pdash + 'text-margin-y').pfValue; - var isEdge = ele.isEdge(); - var halign = ele.pstyle('text-halign').value; - var valign = ele.pstyle('text-valign').value; - if (isEdge) { - halign = 'center'; - valign = 'center'; - } - textX += marginX; - textY += marginY; - var theta; - if (!applyRotation) { - theta = 0; - } else { - theta = this.getTextAngle(ele, prefix); - } - if (theta !== 0) { - orgTextX = textX; - orgTextY = textY; - context.translate(orgTextX, orgTextY); - context.rotate(theta); - textX = 0; - textY = 0; - } - switch (valign) { - case 'top': - break; - case 'center': - textY += textH / 2; - break; - case 'bottom': - textY += textH; - break; - } - var backgroundOpacity = ele.pstyle('text-background-opacity').value; - var borderOpacity = ele.pstyle('text-border-opacity').value; - var textBorderWidth = ele.pstyle('text-border-width').pfValue; - var backgroundPadding = ele.pstyle('text-background-padding').pfValue; - var styleShape = ele.pstyle('text-background-shape').strValue; - var rounded = styleShape.indexOf('round') === 0; - var roundRadius = 2; - if (backgroundOpacity > 0 || textBorderWidth > 0 && borderOpacity > 0) { - var bgX = textX - backgroundPadding; - switch (halign) { - case 'left': - bgX -= textW; - break; - case 'center': - bgX -= textW / 2; - break; - } - var bgY = textY - textH - backgroundPadding; - var bgW = textW + 2 * backgroundPadding; - var bgH = textH + 2 * backgroundPadding; - if (backgroundOpacity > 0) { - var textFill = context.fillStyle; - var textBackgroundColor = ele.pstyle('text-background-color').value; - context.fillStyle = 'rgba(' + textBackgroundColor[0] + ',' + textBackgroundColor[1] + ',' + textBackgroundColor[2] + ',' + backgroundOpacity * parentOpacity + ')'; - if (rounded) { - roundRect(context, bgX, bgY, bgW, bgH, roundRadius); - } else { - context.fillRect(bgX, bgY, bgW, bgH); - } - context.fillStyle = textFill; - } - if (textBorderWidth > 0 && borderOpacity > 0) { - var textStroke = context.strokeStyle; - var textLineWidth = context.lineWidth; - var textBorderColor = ele.pstyle('text-border-color').value; - var textBorderStyle = ele.pstyle('text-border-style').value; - context.strokeStyle = 'rgba(' + textBorderColor[0] + ',' + textBorderColor[1] + ',' + textBorderColor[2] + ',' + borderOpacity * parentOpacity + ')'; - context.lineWidth = textBorderWidth; - if (context.setLineDash) { - // for very outofdate browsers - switch (textBorderStyle) { - case 'dotted': - context.setLineDash([1, 1]); - break; - case 'dashed': - context.setLineDash([4, 2]); - break; - case 'double': - context.lineWidth = textBorderWidth / 4; // 50% reserved for white between the two borders - context.setLineDash([]); - break; - case 'solid': - context.setLineDash([]); - break; - } - } - if (rounded) { - roundRect(context, bgX, bgY, bgW, bgH, roundRadius, 'stroke'); - } else { - context.strokeRect(bgX, bgY, bgW, bgH); - } - if (textBorderStyle === 'double') { - var whiteWidth = textBorderWidth / 2; - if (rounded) { - roundRect(context, bgX + whiteWidth, bgY + whiteWidth, bgW - whiteWidth * 2, bgH - whiteWidth * 2, roundRadius, 'stroke'); - } else { - context.strokeRect(bgX + whiteWidth, bgY + whiteWidth, bgW - whiteWidth * 2, bgH - whiteWidth * 2); - } - } - if (context.setLineDash) { - // for very outofdate browsers - context.setLineDash([]); - } - context.lineWidth = textLineWidth; - context.strokeStyle = textStroke; - } - } - var lineWidth = 2 * ele.pstyle('text-outline-width').pfValue; // *2 b/c the stroke is drawn centred on the middle - - if (lineWidth > 0) { - context.lineWidth = lineWidth; - } - if (ele.pstyle('text-wrap').value === 'wrap') { - var lines = getPrefixedProperty(rscratch, 'labelWrapCachedLines', prefix); - var lineHeight = getPrefixedProperty(rscratch, 'labelLineHeight', prefix); - var halfTextW = textW / 2; - var justification = this.getLabelJustification(ele); - if (justification === 'auto') ; else if (halign === 'left') { - // auto justification : right - if (justification === 'left') { - textX += -textW; - } else if (justification === 'center') { - textX += -halfTextW; - } // else same as auto - } else if (halign === 'center') { - // auto justfication : center - if (justification === 'left') { - textX += -halfTextW; - } else if (justification === 'right') { - textX += halfTextW; - } // else same as auto - } else if (halign === 'right') { - // auto justification : left - if (justification === 'center') { - textX += halfTextW; - } else if (justification === 'right') { - textX += textW; - } // else same as auto - } - - switch (valign) { - case 'top': - textY -= (lines.length - 1) * lineHeight; - break; - case 'center': - case 'bottom': - textY -= (lines.length - 1) * lineHeight; - break; - } - for (var l = 0; l < lines.length; l++) { - if (lineWidth > 0) { - context.strokeText(lines[l], textX, textY); - } - context.fillText(lines[l], textX, textY); - textY += lineHeight; - } - } else { - if (lineWidth > 0) { - context.strokeText(text, textX, textY); - } - context.fillText(text, textX, textY); - } - if (theta !== 0) { - context.rotate(-theta); - context.translate(-orgTextX, -orgTextY); - } - } - }; - - /* global Path2D */ - var CRp$5 = {}; - CRp$5.drawNode = function (context, node, shiftToOriginWithBb) { - var drawLabel = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true; - var shouldDrawOverlay = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : true; - var shouldDrawOpacity = arguments.length > 5 && arguments[5] !== undefined ? arguments[5] : true; - var r = this; - var nodeWidth, nodeHeight; - var _p = node._private; - var rs = _p.rscratch; - var pos = node.position(); - if (!number$1(pos.x) || !number$1(pos.y)) { - return; // can't draw node with undefined position - } - - if (shouldDrawOpacity && !node.visible()) { - return; - } - var eleOpacity = shouldDrawOpacity ? node.effectiveOpacity() : 1; - var usePaths = r.usePaths(); - var path; - var pathCacheHit = false; - var padding = node.padding(); - nodeWidth = node.width() + 2 * padding; - nodeHeight = node.height() + 2 * padding; - - // - // setup shift - - var bb; - if (shiftToOriginWithBb) { - bb = shiftToOriginWithBb; - context.translate(-bb.x1, -bb.y1); - } - - // - // load bg image - - var bgImgProp = node.pstyle('background-image'); - var urls = bgImgProp.value; - var urlDefined = new Array(urls.length); - var image = new Array(urls.length); - var numImages = 0; - for (var i = 0; i < urls.length; i++) { - var url = urls[i]; - var defd = urlDefined[i] = url != null && url !== 'none'; - if (defd) { - var bgImgCrossOrigin = node.cy().style().getIndexedStyle(node, 'background-image-crossorigin', 'value', i); - numImages++; - - // get image, and if not loaded then ask to redraw when later loaded - image[i] = r.getCachedImage(url, bgImgCrossOrigin, function () { - _p.backgroundTimestamp = Date.now(); - node.emitAndNotify('background'); - }); - } - } - - // - // setup styles - - var darkness = node.pstyle('background-blacken').value; - var borderWidth = node.pstyle('border-width').pfValue; - var bgOpacity = node.pstyle('background-opacity').value * eleOpacity; - var borderColor = node.pstyle('border-color').value; - var borderStyle = node.pstyle('border-style').value; - var borderOpacity = node.pstyle('border-opacity').value * eleOpacity; - var outlineWidth = node.pstyle('outline-width').pfValue; - var outlineColor = node.pstyle('outline-color').value; - var outlineStyle = node.pstyle('outline-style').value; - var outlineOpacity = node.pstyle('outline-opacity').value * eleOpacity; - var outlineOffset = node.pstyle('outline-offset').value; - context.lineJoin = 'miter'; // so borders are square with the node shape - - var setupShapeColor = function setupShapeColor() { - var bgOpy = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : bgOpacity; - r.eleFillStyle(context, node, bgOpy); - }; - var setupBorderColor = function setupBorderColor() { - var bdrOpy = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : borderOpacity; - r.colorStrokeStyle(context, borderColor[0], borderColor[1], borderColor[2], bdrOpy); - }; - var setupOutlineColor = function setupOutlineColor() { - var otlnOpy = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : outlineOpacity; - r.colorStrokeStyle(context, outlineColor[0], outlineColor[1], outlineColor[2], otlnOpy); - }; - - // - // setup shape - - var getPath = function getPath(width, height, shape, points) { - var pathCache = r.nodePathCache = r.nodePathCache || []; - var key = hashStrings(shape === 'polygon' ? shape + ',' + points.join(',') : shape, '' + height, '' + width); - var cachedPath = pathCache[key]; - var path; - var cacheHit = false; - if (cachedPath != null) { - path = cachedPath; - cacheHit = true; - rs.pathCache = path; - } else { - path = new Path2D(); - pathCache[key] = rs.pathCache = path; - } - return { - path: path, - cacheHit: cacheHit - }; - }; - var styleShape = node.pstyle('shape').strValue; - var shapePts = node.pstyle('shape-polygon-points').pfValue; - if (usePaths) { - context.translate(pos.x, pos.y); - var shapePath = getPath(nodeWidth, nodeHeight, styleShape, shapePts); - path = shapePath.path; - pathCacheHit = shapePath.cacheHit; - } - var drawShape = function drawShape() { - if (!pathCacheHit) { - var npos = pos; - if (usePaths) { - npos = { - x: 0, - y: 0 - }; - } - r.nodeShapes[r.getNodeShape(node)].draw(path || context, npos.x, npos.y, nodeWidth, nodeHeight); - } - if (usePaths) { - context.fill(path); - } else { - context.fill(); - } - }; - var drawImages = function drawImages() { - var nodeOpacity = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : eleOpacity; - var inside = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true; - var prevBging = _p.backgrounding; - var totalCompleted = 0; - for (var _i = 0; _i < image.length; _i++) { - var bgContainment = node.cy().style().getIndexedStyle(node, 'background-image-containment', 'value', _i); - if (inside && bgContainment === 'over' || !inside && bgContainment === 'inside') { - totalCompleted++; - continue; - } - if (urlDefined[_i] && image[_i].complete && !image[_i].error) { - totalCompleted++; - r.drawInscribedImage(context, image[_i], node, _i, nodeOpacity); - } - } - _p.backgrounding = !(totalCompleted === numImages); - if (prevBging !== _p.backgrounding) { - // update style b/c :backgrounding state changed - node.updateStyle(false); - } - }; - var drawPie = function drawPie() { - var redrawShape = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : false; - var pieOpacity = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : eleOpacity; - if (r.hasPie(node)) { - r.drawPie(context, node, pieOpacity); - - // redraw/restore path if steps after pie need it - if (redrawShape) { - if (!usePaths) { - r.nodeShapes[r.getNodeShape(node)].draw(context, pos.x, pos.y, nodeWidth, nodeHeight); - } - } - } - }; - var darken = function darken() { - var darkenOpacity = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : eleOpacity; - var opacity = (darkness > 0 ? darkness : -darkness) * darkenOpacity; - var c = darkness > 0 ? 0 : 255; - if (darkness !== 0) { - r.colorFillStyle(context, c, c, c, opacity); - if (usePaths) { - context.fill(path); - } else { - context.fill(); - } - } - }; - var drawBorder = function drawBorder() { - if (borderWidth > 0) { - context.lineWidth = borderWidth; - context.lineCap = 'butt'; - if (context.setLineDash) { - // for very outofdate browsers - switch (borderStyle) { - case 'dotted': - context.setLineDash([1, 1]); - break; - case 'dashed': - context.setLineDash([4, 2]); - break; - case 'solid': - case 'double': - context.setLineDash([]); - break; - } - } - if (usePaths) { - context.stroke(path); - } else { - context.stroke(); - } - if (borderStyle === 'double') { - context.lineWidth = borderWidth / 3; - var gco = context.globalCompositeOperation; - context.globalCompositeOperation = 'destination-out'; - if (usePaths) { - context.stroke(path); - } else { - context.stroke(); - } - context.globalCompositeOperation = gco; - } - - // reset in case we changed the border style - if (context.setLineDash) { - // for very outofdate browsers - context.setLineDash([]); - } - } - }; - var drawOutline = function drawOutline() { - if (outlineWidth > 0) { - context.lineWidth = outlineWidth; - context.lineCap = 'butt'; - if (context.setLineDash) { - // for very outofdate browsers - switch (outlineStyle) { - case 'dotted': - context.setLineDash([1, 1]); - break; - case 'dashed': - context.setLineDash([4, 2]); - break; - case 'solid': - case 'double': - context.setLineDash([]); - break; - } - } - var npos = pos; - if (usePaths) { - npos = { - x: 0, - y: 0 - }; - } - var shape = r.getNodeShape(node); - var scaleX = (nodeWidth + borderWidth + (outlineWidth + outlineOffset)) / nodeWidth; - var scaleY = (nodeHeight + borderWidth + (outlineWidth + outlineOffset)) / nodeHeight; - var sWidth = nodeWidth * scaleX; - var sHeight = nodeHeight * scaleY; - var points = r.nodeShapes[shape].points; - var _path; - if (usePaths) { - var outlinePath = getPath(sWidth, sHeight, shape, points); - _path = outlinePath.path; - } - - // draw the outline path, either by using expanded points or by scaling - // the dimensions, depending on shape - if (shape === "ellipse") { - r.drawEllipsePath(_path || context, npos.x, npos.y, sWidth, sHeight); - } else if (['round-diamond', 'round-heptagon', 'round-hexagon', 'round-octagon', 'round-pentagon', 'round-polygon', 'round-triangle', 'round-tag'].includes(shape)) { - var sMult = 0; - var offsetX = 0; - var offsetY = 0; - if (shape === 'round-diamond') { - sMult = (borderWidth + outlineOffset + outlineWidth) * 1.4; - } else if (shape === 'round-heptagon') { - sMult = (borderWidth + outlineOffset + outlineWidth) * 1.075; - offsetY = -(borderWidth / 2 + outlineOffset + outlineWidth) / 35; - } else if (shape === 'round-hexagon') { - sMult = (borderWidth + outlineOffset + outlineWidth) * 1.12; - } else if (shape === 'round-pentagon') { - sMult = (borderWidth + outlineOffset + outlineWidth) * 1.13; - offsetY = -(borderWidth / 2 + outlineOffset + outlineWidth) / 15; - } else if (shape === 'round-tag') { - sMult = (borderWidth + outlineOffset + outlineWidth) * 1.12; - offsetX = (borderWidth / 2 + outlineWidth + outlineOffset) * .07; - } else if (shape === 'round-triangle') { - sMult = (borderWidth + outlineOffset + outlineWidth) * (Math.PI / 2); - offsetY = -(borderWidth + outlineOffset / 2 + outlineWidth) / Math.PI; - } - if (sMult !== 0) { - scaleX = (nodeWidth + sMult) / nodeWidth; - scaleY = (nodeHeight + sMult) / nodeHeight; - } - r.drawRoundPolygonPath(_path || context, npos.x + offsetX, npos.y + offsetY, nodeWidth * scaleX, nodeHeight * scaleY, points); - } else if (['roundrectangle', 'round-rectangle'].includes(shape)) { - r.drawRoundRectanglePath(_path || context, npos.x, npos.y, sWidth, sHeight); - } else if (['cutrectangle', 'cut-rectangle'].includes(shape)) { - r.drawCutRectanglePath(_path || context, npos.x, npos.y, sWidth, sHeight); - } else if (['bottomroundrectangle', 'bottom-round-rectangle'].includes(shape)) { - r.drawBottomRoundRectanglePath(_path || context, npos.x, npos.y, sWidth, sHeight); - } else if (shape === "barrel") { - r.drawBarrelPath(_path || context, npos.x, npos.y, sWidth, sHeight); - } else if (shape.startsWith("polygon") || ['rhomboid', 'right-rhomboid', 'round-tag', 'tag', 'vee'].includes(shape)) { - var pad = (borderWidth + outlineWidth + outlineOffset) / nodeWidth; - points = joinLines(expandPolygon(points, pad)); - r.drawPolygonPath(_path || context, npos.x, npos.y, nodeWidth, nodeHeight, points); - } else { - var _pad = (borderWidth + outlineWidth + outlineOffset) / nodeWidth; - points = joinLines(expandPolygon(points, -_pad)); - r.drawPolygonPath(_path || context, npos.x, npos.y, nodeWidth, nodeHeight, points); - } - if (usePaths) { - context.stroke(_path); - } else { - context.stroke(); - } - if (outlineStyle === 'double') { - context.lineWidth = borderWidth / 3; - var gco = context.globalCompositeOperation; - context.globalCompositeOperation = 'destination-out'; - if (usePaths) { - context.stroke(_path); - } else { - context.stroke(); - } - context.globalCompositeOperation = gco; - } - - // reset in case we changed the border style - if (context.setLineDash) { - // for very outofdate browsers - context.setLineDash([]); - } - } - }; - var drawOverlay = function drawOverlay() { - if (shouldDrawOverlay) { - r.drawNodeOverlay(context, node, pos, nodeWidth, nodeHeight); - } - }; - var drawUnderlay = function drawUnderlay() { - if (shouldDrawOverlay) { - r.drawNodeUnderlay(context, node, pos, nodeWidth, nodeHeight); - } - }; - var drawText = function drawText() { - r.drawElementText(context, node, null, drawLabel); - }; - var ghost = node.pstyle('ghost').value === 'yes'; - if (ghost) { - var gx = node.pstyle('ghost-offset-x').pfValue; - var gy = node.pstyle('ghost-offset-y').pfValue; - var ghostOpacity = node.pstyle('ghost-opacity').value; - var effGhostOpacity = ghostOpacity * eleOpacity; - context.translate(gx, gy); - setupOutlineColor(); - drawOutline(); - setupShapeColor(ghostOpacity * bgOpacity); - drawShape(); - drawImages(effGhostOpacity, true); - setupBorderColor(ghostOpacity * borderOpacity); - drawBorder(); - drawPie(darkness !== 0 || borderWidth !== 0); - drawImages(effGhostOpacity, false); - darken(effGhostOpacity); - context.translate(-gx, -gy); - } - if (usePaths) { - context.translate(-pos.x, -pos.y); - } - drawUnderlay(); - if (usePaths) { - context.translate(pos.x, pos.y); - } - setupOutlineColor(); - drawOutline(); - setupShapeColor(); - drawShape(); - drawImages(eleOpacity, true); - setupBorderColor(); - drawBorder(); - drawPie(darkness !== 0 || borderWidth !== 0); - drawImages(eleOpacity, false); - darken(); - if (usePaths) { - context.translate(-pos.x, -pos.y); - } - drawText(); - drawOverlay(); - - // - // clean up shift - - if (shiftToOriginWithBb) { - context.translate(bb.x1, bb.y1); - } - }; - var drawNodeOverlayUnderlay = function drawNodeOverlayUnderlay(overlayOrUnderlay) { - if (!['overlay', 'underlay'].includes(overlayOrUnderlay)) { - throw new Error('Invalid state'); - } - return function (context, node, pos, nodeWidth, nodeHeight) { - var r = this; - if (!node.visible()) { - return; - } - var padding = node.pstyle("".concat(overlayOrUnderlay, "-padding")).pfValue; - var opacity = node.pstyle("".concat(overlayOrUnderlay, "-opacity")).value; - var color = node.pstyle("".concat(overlayOrUnderlay, "-color")).value; - var shape = node.pstyle("".concat(overlayOrUnderlay, "-shape")).value; - if (opacity > 0) { - pos = pos || node.position(); - if (nodeWidth == null || nodeHeight == null) { - var _padding = node.padding(); - nodeWidth = node.width() + 2 * _padding; - nodeHeight = node.height() + 2 * _padding; - } - r.colorFillStyle(context, color[0], color[1], color[2], opacity); - r.nodeShapes[shape].draw(context, pos.x, pos.y, nodeWidth + padding * 2, nodeHeight + padding * 2); - context.fill(); - } - }; - }; - CRp$5.drawNodeOverlay = drawNodeOverlayUnderlay('overlay'); - CRp$5.drawNodeUnderlay = drawNodeOverlayUnderlay('underlay'); - - // does the node have at least one pie piece? - CRp$5.hasPie = function (node) { - node = node[0]; // ensure ele ref - - return node._private.hasPie; - }; - CRp$5.drawPie = function (context, node, nodeOpacity, pos) { - node = node[0]; // ensure ele ref - pos = pos || node.position(); - var cyStyle = node.cy().style(); - var pieSize = node.pstyle('pie-size'); - var x = pos.x; - var y = pos.y; - var nodeW = node.width(); - var nodeH = node.height(); - var radius = Math.min(nodeW, nodeH) / 2; // must fit in node - var lastPercent = 0; // what % to continue drawing pie slices from on [0, 1] - var usePaths = this.usePaths(); - if (usePaths) { - x = 0; - y = 0; - } - if (pieSize.units === '%') { - radius = radius * pieSize.pfValue; - } else if (pieSize.pfValue !== undefined) { - radius = pieSize.pfValue / 2; - } - for (var i = 1; i <= cyStyle.pieBackgroundN; i++) { - // 1..N - var size = node.pstyle('pie-' + i + '-background-size').value; - var color = node.pstyle('pie-' + i + '-background-color').value; - var opacity = node.pstyle('pie-' + i + '-background-opacity').value * nodeOpacity; - var percent = size / 100; // map integer range [0, 100] to [0, 1] - - // percent can't push beyond 1 - if (percent + lastPercent > 1) { - percent = 1 - lastPercent; - } - var angleStart = 1.5 * Math.PI + 2 * Math.PI * lastPercent; // start at 12 o'clock and go clockwise - var angleDelta = 2 * Math.PI * percent; - var angleEnd = angleStart + angleDelta; - - // ignore if - // - zero size - // - we're already beyond the full circle - // - adding the current slice would go beyond the full circle - if (size === 0 || lastPercent >= 1 || lastPercent + percent > 1) { - continue; - } - context.beginPath(); - context.moveTo(x, y); - context.arc(x, y, radius, angleStart, angleEnd); - context.closePath(); - this.colorFillStyle(context, color[0], color[1], color[2], opacity); - context.fill(); - lastPercent += percent; - } - }; - - var CRp$4 = {}; - var motionBlurDelay = 100; - - // var isFirefox = typeof InstallTrigger !== 'undefined'; - - CRp$4.getPixelRatio = function () { - var context = this.data.contexts[0]; - if (this.forcedPixelRatio != null) { - return this.forcedPixelRatio; - } - var backingStore = context.backingStorePixelRatio || context.webkitBackingStorePixelRatio || context.mozBackingStorePixelRatio || context.msBackingStorePixelRatio || context.oBackingStorePixelRatio || context.backingStorePixelRatio || 1; - return (window.devicePixelRatio || 1) / backingStore; // eslint-disable-line no-undef - }; - - CRp$4.paintCache = function (context) { - var caches = this.paintCaches = this.paintCaches || []; - var needToCreateCache = true; - var cache; - for (var i = 0; i < caches.length; i++) { - cache = caches[i]; - if (cache.context === context) { - needToCreateCache = false; - break; - } - } - if (needToCreateCache) { - cache = { - context: context - }; - caches.push(cache); - } - return cache; - }; - CRp$4.createGradientStyleFor = function (context, shapeStyleName, ele, fill, opacity) { - var gradientStyle; - var usePaths = this.usePaths(); - var colors = ele.pstyle(shapeStyleName + '-gradient-stop-colors').value, - positions = ele.pstyle(shapeStyleName + '-gradient-stop-positions').pfValue; - if (fill === 'radial-gradient') { - if (ele.isEdge()) { - var start = ele.sourceEndpoint(), - end = ele.targetEndpoint(), - mid = ele.midpoint(); - var d1 = dist(start, mid); - var d2 = dist(end, mid); - gradientStyle = context.createRadialGradient(mid.x, mid.y, 0, mid.x, mid.y, Math.max(d1, d2)); - } else { - var pos = usePaths ? { - x: 0, - y: 0 - } : ele.position(), - width = ele.paddedWidth(), - height = ele.paddedHeight(); - gradientStyle = context.createRadialGradient(pos.x, pos.y, 0, pos.x, pos.y, Math.max(width, height)); - } - } else { - if (ele.isEdge()) { - var _start = ele.sourceEndpoint(), - _end = ele.targetEndpoint(); - gradientStyle = context.createLinearGradient(_start.x, _start.y, _end.x, _end.y); - } else { - var _pos = usePaths ? { - x: 0, - y: 0 - } : ele.position(), - _width = ele.paddedWidth(), - _height = ele.paddedHeight(), - halfWidth = _width / 2, - halfHeight = _height / 2; - var direction = ele.pstyle('background-gradient-direction').value; - switch (direction) { - case 'to-bottom': - gradientStyle = context.createLinearGradient(_pos.x, _pos.y - halfHeight, _pos.x, _pos.y + halfHeight); - break; - case 'to-top': - gradientStyle = context.createLinearGradient(_pos.x, _pos.y + halfHeight, _pos.x, _pos.y - halfHeight); - break; - case 'to-left': - gradientStyle = context.createLinearGradient(_pos.x + halfWidth, _pos.y, _pos.x - halfWidth, _pos.y); - break; - case 'to-right': - gradientStyle = context.createLinearGradient(_pos.x - halfWidth, _pos.y, _pos.x + halfWidth, _pos.y); - break; - case 'to-bottom-right': - case 'to-right-bottom': - gradientStyle = context.createLinearGradient(_pos.x - halfWidth, _pos.y - halfHeight, _pos.x + halfWidth, _pos.y + halfHeight); - break; - case 'to-top-right': - case 'to-right-top': - gradientStyle = context.createLinearGradient(_pos.x - halfWidth, _pos.y + halfHeight, _pos.x + halfWidth, _pos.y - halfHeight); - break; - case 'to-bottom-left': - case 'to-left-bottom': - gradientStyle = context.createLinearGradient(_pos.x + halfWidth, _pos.y - halfHeight, _pos.x - halfWidth, _pos.y + halfHeight); - break; - case 'to-top-left': - case 'to-left-top': - gradientStyle = context.createLinearGradient(_pos.x + halfWidth, _pos.y + halfHeight, _pos.x - halfWidth, _pos.y - halfHeight); - break; - } - } - } - if (!gradientStyle) return null; // invalid gradient style - - var hasPositions = positions.length === colors.length; - var length = colors.length; - for (var i = 0; i < length; i++) { - gradientStyle.addColorStop(hasPositions ? positions[i] : i / (length - 1), 'rgba(' + colors[i][0] + ',' + colors[i][1] + ',' + colors[i][2] + ',' + opacity + ')'); - } - return gradientStyle; - }; - CRp$4.gradientFillStyle = function (context, ele, fill, opacity) { - var gradientStyle = this.createGradientStyleFor(context, 'background', ele, fill, opacity); - if (!gradientStyle) return null; // error - context.fillStyle = gradientStyle; - }; - CRp$4.colorFillStyle = function (context, r, g, b, a) { - context.fillStyle = 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')'; - // turn off for now, seems context does its own caching - - // var cache = this.paintCache(context); - - // var fillStyle = 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')'; - - // if( cache.fillStyle !== fillStyle ){ - // context.fillStyle = cache.fillStyle = fillStyle; - // } - }; - - CRp$4.eleFillStyle = function (context, ele, opacity) { - var backgroundFill = ele.pstyle('background-fill').value; - if (backgroundFill === 'linear-gradient' || backgroundFill === 'radial-gradient') { - this.gradientFillStyle(context, ele, backgroundFill, opacity); - } else { - var backgroundColor = ele.pstyle('background-color').value; - this.colorFillStyle(context, backgroundColor[0], backgroundColor[1], backgroundColor[2], opacity); - } - }; - CRp$4.gradientStrokeStyle = function (context, ele, fill, opacity) { - var gradientStyle = this.createGradientStyleFor(context, 'line', ele, fill, opacity); - if (!gradientStyle) return null; // error - context.strokeStyle = gradientStyle; - }; - CRp$4.colorStrokeStyle = function (context, r, g, b, a) { - context.strokeStyle = 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')'; - // turn off for now, seems context does its own caching - - // var cache = this.paintCache(context); - - // var strokeStyle = 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')'; - - // if( cache.strokeStyle !== strokeStyle ){ - // context.strokeStyle = cache.strokeStyle = strokeStyle; - // } - }; - - CRp$4.eleStrokeStyle = function (context, ele, opacity) { - var lineFill = ele.pstyle('line-fill').value; - if (lineFill === 'linear-gradient' || lineFill === 'radial-gradient') { - this.gradientStrokeStyle(context, ele, lineFill, opacity); - } else { - var lineColor = ele.pstyle('line-color').value; - this.colorStrokeStyle(context, lineColor[0], lineColor[1], lineColor[2], opacity); - } - }; - - // Resize canvas - CRp$4.matchCanvasSize = function (container) { - var r = this; - var data = r.data; - var bb = r.findContainerClientCoords(); - var width = bb[2]; - var height = bb[3]; - var pixelRatio = r.getPixelRatio(); - var mbPxRatio = r.motionBlurPxRatio; - if (container === r.data.bufferCanvases[r.MOTIONBLUR_BUFFER_NODE] || container === r.data.bufferCanvases[r.MOTIONBLUR_BUFFER_DRAG]) { - pixelRatio = mbPxRatio; - } - var canvasWidth = width * pixelRatio; - var canvasHeight = height * pixelRatio; - var canvas; - if (canvasWidth === r.canvasWidth && canvasHeight === r.canvasHeight) { - return; // save cycles if same - } - - r.fontCaches = null; // resizing resets the style - - var canvasContainer = data.canvasContainer; - canvasContainer.style.width = width + 'px'; - canvasContainer.style.height = height + 'px'; - for (var i = 0; i < r.CANVAS_LAYERS; i++) { - canvas = data.canvases[i]; - canvas.width = canvasWidth; - canvas.height = canvasHeight; - canvas.style.width = width + 'px'; - canvas.style.height = height + 'px'; - } - for (var i = 0; i < r.BUFFER_COUNT; i++) { - canvas = data.bufferCanvases[i]; - canvas.width = canvasWidth; - canvas.height = canvasHeight; - canvas.style.width = width + 'px'; - canvas.style.height = height + 'px'; - } - r.textureMult = 1; - if (pixelRatio <= 1) { - canvas = data.bufferCanvases[r.TEXTURE_BUFFER]; - r.textureMult = 2; - canvas.width = canvasWidth * r.textureMult; - canvas.height = canvasHeight * r.textureMult; - } - r.canvasWidth = canvasWidth; - r.canvasHeight = canvasHeight; - }; - CRp$4.renderTo = function (cxt, zoom, pan, pxRatio) { - this.render({ - forcedContext: cxt, - forcedZoom: zoom, - forcedPan: pan, - drawAllLayers: true, - forcedPxRatio: pxRatio - }); - }; - CRp$4.render = function (options) { - options = options || staticEmptyObject(); - var forcedContext = options.forcedContext; - var drawAllLayers = options.drawAllLayers; - var drawOnlyNodeLayer = options.drawOnlyNodeLayer; - var forcedZoom = options.forcedZoom; - var forcedPan = options.forcedPan; - var r = this; - var pixelRatio = options.forcedPxRatio === undefined ? this.getPixelRatio() : options.forcedPxRatio; - var cy = r.cy; - var data = r.data; - var needDraw = data.canvasNeedsRedraw; - var textureDraw = r.textureOnViewport && !forcedContext && (r.pinching || r.hoverData.dragging || r.swipePanning || r.data.wheelZooming); - var motionBlur = options.motionBlur !== undefined ? options.motionBlur : r.motionBlur; - var mbPxRatio = r.motionBlurPxRatio; - var hasCompoundNodes = cy.hasCompoundNodes(); - var inNodeDragGesture = r.hoverData.draggingEles; - var inBoxSelection = r.hoverData.selecting || r.touchData.selecting ? true : false; - motionBlur = motionBlur && !forcedContext && r.motionBlurEnabled && !inBoxSelection; - var motionBlurFadeEffect = motionBlur; - if (!forcedContext) { - if (r.prevPxRatio !== pixelRatio) { - r.invalidateContainerClientCoordsCache(); - r.matchCanvasSize(r.container); - r.redrawHint('eles', true); - r.redrawHint('drag', true); - } - r.prevPxRatio = pixelRatio; - } - if (!forcedContext && r.motionBlurTimeout) { - clearTimeout(r.motionBlurTimeout); - } - if (motionBlur) { - if (r.mbFrames == null) { - r.mbFrames = 0; - } - r.mbFrames++; - if (r.mbFrames < 3) { - // need several frames before even high quality motionblur - motionBlurFadeEffect = false; - } - - // go to lower quality blurry frames when several m/b frames have been rendered (avoids flashing) - if (r.mbFrames > r.minMbLowQualFrames) { - //r.fullQualityMb = false; - r.motionBlurPxRatio = r.mbPxRBlurry; - } - } - if (r.clearingMotionBlur) { - r.motionBlurPxRatio = 1; - } - - // b/c drawToContext() may be async w.r.t. redraw(), keep track of last texture frame - // because a rogue async texture frame would clear needDraw - if (r.textureDrawLastFrame && !textureDraw) { - needDraw[r.NODE] = true; - needDraw[r.SELECT_BOX] = true; - } - var style = cy.style(); - var zoom = cy.zoom(); - var effectiveZoom = forcedZoom !== undefined ? forcedZoom : zoom; - var pan = cy.pan(); - var effectivePan = { - x: pan.x, - y: pan.y - }; - var vp = { - zoom: zoom, - pan: { - x: pan.x, - y: pan.y - } - }; - var prevVp = r.prevViewport; - var viewportIsDiff = prevVp === undefined || vp.zoom !== prevVp.zoom || vp.pan.x !== prevVp.pan.x || vp.pan.y !== prevVp.pan.y; - - // we want the low quality motionblur only when the viewport is being manipulated etc (where it's not noticed) - if (!viewportIsDiff && !(inNodeDragGesture && !hasCompoundNodes)) { - r.motionBlurPxRatio = 1; - } - if (forcedPan) { - effectivePan = forcedPan; - } - - // apply pixel ratio - - effectiveZoom *= pixelRatio; - effectivePan.x *= pixelRatio; - effectivePan.y *= pixelRatio; - var eles = r.getCachedZSortedEles(); - function mbclear(context, x, y, w, h) { - var gco = context.globalCompositeOperation; - context.globalCompositeOperation = 'destination-out'; - r.colorFillStyle(context, 255, 255, 255, r.motionBlurTransparency); - context.fillRect(x, y, w, h); - context.globalCompositeOperation = gco; - } - function setContextTransform(context, clear) { - var ePan, eZoom, w, h; - if (!r.clearingMotionBlur && (context === data.bufferContexts[r.MOTIONBLUR_BUFFER_NODE] || context === data.bufferContexts[r.MOTIONBLUR_BUFFER_DRAG])) { - ePan = { - x: pan.x * mbPxRatio, - y: pan.y * mbPxRatio - }; - eZoom = zoom * mbPxRatio; - w = r.canvasWidth * mbPxRatio; - h = r.canvasHeight * mbPxRatio; - } else { - ePan = effectivePan; - eZoom = effectiveZoom; - w = r.canvasWidth; - h = r.canvasHeight; - } - context.setTransform(1, 0, 0, 1, 0, 0); - if (clear === 'motionBlur') { - mbclear(context, 0, 0, w, h); - } else if (!forcedContext && (clear === undefined || clear)) { - context.clearRect(0, 0, w, h); - } - if (!drawAllLayers) { - context.translate(ePan.x, ePan.y); - context.scale(eZoom, eZoom); - } - if (forcedPan) { - context.translate(forcedPan.x, forcedPan.y); - } - if (forcedZoom) { - context.scale(forcedZoom, forcedZoom); - } - } - if (!textureDraw) { - r.textureDrawLastFrame = false; - } - if (textureDraw) { - r.textureDrawLastFrame = true; - if (!r.textureCache) { - r.textureCache = {}; - r.textureCache.bb = cy.mutableElements().boundingBox(); - r.textureCache.texture = r.data.bufferCanvases[r.TEXTURE_BUFFER]; - var cxt = r.data.bufferContexts[r.TEXTURE_BUFFER]; - cxt.setTransform(1, 0, 0, 1, 0, 0); - cxt.clearRect(0, 0, r.canvasWidth * r.textureMult, r.canvasHeight * r.textureMult); - r.render({ - forcedContext: cxt, - drawOnlyNodeLayer: true, - forcedPxRatio: pixelRatio * r.textureMult - }); - var vp = r.textureCache.viewport = { - zoom: cy.zoom(), - pan: cy.pan(), - width: r.canvasWidth, - height: r.canvasHeight - }; - vp.mpan = { - x: (0 - vp.pan.x) / vp.zoom, - y: (0 - vp.pan.y) / vp.zoom - }; - } - needDraw[r.DRAG] = false; - needDraw[r.NODE] = false; - var context = data.contexts[r.NODE]; - var texture = r.textureCache.texture; - var vp = r.textureCache.viewport; - context.setTransform(1, 0, 0, 1, 0, 0); - if (motionBlur) { - mbclear(context, 0, 0, vp.width, vp.height); - } else { - context.clearRect(0, 0, vp.width, vp.height); - } - var outsideBgColor = style.core('outside-texture-bg-color').value; - var outsideBgOpacity = style.core('outside-texture-bg-opacity').value; - r.colorFillStyle(context, outsideBgColor[0], outsideBgColor[1], outsideBgColor[2], outsideBgOpacity); - context.fillRect(0, 0, vp.width, vp.height); - var zoom = cy.zoom(); - setContextTransform(context, false); - context.clearRect(vp.mpan.x, vp.mpan.y, vp.width / vp.zoom / pixelRatio, vp.height / vp.zoom / pixelRatio); - context.drawImage(texture, vp.mpan.x, vp.mpan.y, vp.width / vp.zoom / pixelRatio, vp.height / vp.zoom / pixelRatio); - } else if (r.textureOnViewport && !forcedContext) { - // clear the cache since we don't need it - r.textureCache = null; - } - var extent = cy.extent(); - var vpManip = r.pinching || r.hoverData.dragging || r.swipePanning || r.data.wheelZooming || r.hoverData.draggingEles || r.cy.animated(); - var hideEdges = r.hideEdgesOnViewport && vpManip; - var needMbClear = []; - needMbClear[r.NODE] = !needDraw[r.NODE] && motionBlur && !r.clearedForMotionBlur[r.NODE] || r.clearingMotionBlur; - if (needMbClear[r.NODE]) { - r.clearedForMotionBlur[r.NODE] = true; - } - needMbClear[r.DRAG] = !needDraw[r.DRAG] && motionBlur && !r.clearedForMotionBlur[r.DRAG] || r.clearingMotionBlur; - if (needMbClear[r.DRAG]) { - r.clearedForMotionBlur[r.DRAG] = true; - } - if (needDraw[r.NODE] || drawAllLayers || drawOnlyNodeLayer || needMbClear[r.NODE]) { - var useBuffer = motionBlur && !needMbClear[r.NODE] && mbPxRatio !== 1; - var context = forcedContext || (useBuffer ? r.data.bufferContexts[r.MOTIONBLUR_BUFFER_NODE] : data.contexts[r.NODE]); - var clear = motionBlur && !useBuffer ? 'motionBlur' : undefined; - setContextTransform(context, clear); - if (hideEdges) { - r.drawCachedNodes(context, eles.nondrag, pixelRatio, extent); - } else { - r.drawLayeredElements(context, eles.nondrag, pixelRatio, extent); - } - if (r.debug) { - r.drawDebugPoints(context, eles.nondrag); - } - if (!drawAllLayers && !motionBlur) { - needDraw[r.NODE] = false; - } - } - if (!drawOnlyNodeLayer && (needDraw[r.DRAG] || drawAllLayers || needMbClear[r.DRAG])) { - var useBuffer = motionBlur && !needMbClear[r.DRAG] && mbPxRatio !== 1; - var context = forcedContext || (useBuffer ? r.data.bufferContexts[r.MOTIONBLUR_BUFFER_DRAG] : data.contexts[r.DRAG]); - setContextTransform(context, motionBlur && !useBuffer ? 'motionBlur' : undefined); - if (hideEdges) { - r.drawCachedNodes(context, eles.drag, pixelRatio, extent); - } else { - r.drawCachedElements(context, eles.drag, pixelRatio, extent); - } - if (r.debug) { - r.drawDebugPoints(context, eles.drag); - } - if (!drawAllLayers && !motionBlur) { - needDraw[r.DRAG] = false; - } - } - if (r.showFps || !drawOnlyNodeLayer && needDraw[r.SELECT_BOX] && !drawAllLayers) { - var context = forcedContext || data.contexts[r.SELECT_BOX]; - setContextTransform(context); - if (r.selection[4] == 1 && (r.hoverData.selecting || r.touchData.selecting)) { - var zoom = r.cy.zoom(); - var borderWidth = style.core('selection-box-border-width').value / zoom; - context.lineWidth = borderWidth; - context.fillStyle = 'rgba(' + style.core('selection-box-color').value[0] + ',' + style.core('selection-box-color').value[1] + ',' + style.core('selection-box-color').value[2] + ',' + style.core('selection-box-opacity').value + ')'; - context.fillRect(r.selection[0], r.selection[1], r.selection[2] - r.selection[0], r.selection[3] - r.selection[1]); - if (borderWidth > 0) { - context.strokeStyle = 'rgba(' + style.core('selection-box-border-color').value[0] + ',' + style.core('selection-box-border-color').value[1] + ',' + style.core('selection-box-border-color').value[2] + ',' + style.core('selection-box-opacity').value + ')'; - context.strokeRect(r.selection[0], r.selection[1], r.selection[2] - r.selection[0], r.selection[3] - r.selection[1]); - } - } - if (data.bgActivePosistion && !r.hoverData.selecting) { - var zoom = r.cy.zoom(); - var pos = data.bgActivePosistion; - context.fillStyle = 'rgba(' + style.core('active-bg-color').value[0] + ',' + style.core('active-bg-color').value[1] + ',' + style.core('active-bg-color').value[2] + ',' + style.core('active-bg-opacity').value + ')'; - context.beginPath(); - context.arc(pos.x, pos.y, style.core('active-bg-size').pfValue / zoom, 0, 2 * Math.PI); - context.fill(); - } - var timeToRender = r.lastRedrawTime; - if (r.showFps && timeToRender) { - timeToRender = Math.round(timeToRender); - var fps = Math.round(1000 / timeToRender); - context.setTransform(1, 0, 0, 1, 0, 0); - context.fillStyle = 'rgba(255, 0, 0, 0.75)'; - context.strokeStyle = 'rgba(255, 0, 0, 0.75)'; - context.lineWidth = 1; - context.fillText('1 frame = ' + timeToRender + ' ms = ' + fps + ' fps', 0, 20); - var maxFps = 60; - context.strokeRect(0, 30, 250, 20); - context.fillRect(0, 30, 250 * Math.min(fps / maxFps, 1), 20); - } - if (!drawAllLayers) { - needDraw[r.SELECT_BOX] = false; - } - } - - // motionblur: blit rendered blurry frames - if (motionBlur && mbPxRatio !== 1) { - var cxtNode = data.contexts[r.NODE]; - var txtNode = r.data.bufferCanvases[r.MOTIONBLUR_BUFFER_NODE]; - var cxtDrag = data.contexts[r.DRAG]; - var txtDrag = r.data.bufferCanvases[r.MOTIONBLUR_BUFFER_DRAG]; - var drawMotionBlur = function drawMotionBlur(cxt, txt, needClear) { - cxt.setTransform(1, 0, 0, 1, 0, 0); - if (needClear || !motionBlurFadeEffect) { - cxt.clearRect(0, 0, r.canvasWidth, r.canvasHeight); - } else { - mbclear(cxt, 0, 0, r.canvasWidth, r.canvasHeight); - } - var pxr = mbPxRatio; - cxt.drawImage(txt, - // img - 0, 0, - // sx, sy - r.canvasWidth * pxr, r.canvasHeight * pxr, - // sw, sh - 0, 0, - // x, y - r.canvasWidth, r.canvasHeight // w, h - ); - }; - - if (needDraw[r.NODE] || needMbClear[r.NODE]) { - drawMotionBlur(cxtNode, txtNode, needMbClear[r.NODE]); - needDraw[r.NODE] = false; - } - if (needDraw[r.DRAG] || needMbClear[r.DRAG]) { - drawMotionBlur(cxtDrag, txtDrag, needMbClear[r.DRAG]); - needDraw[r.DRAG] = false; - } - } - r.prevViewport = vp; - if (r.clearingMotionBlur) { - r.clearingMotionBlur = false; - r.motionBlurCleared = true; - r.motionBlur = true; - } - if (motionBlur) { - r.motionBlurTimeout = setTimeout(function () { - r.motionBlurTimeout = null; - r.clearedForMotionBlur[r.NODE] = false; - r.clearedForMotionBlur[r.DRAG] = false; - r.motionBlur = false; - r.clearingMotionBlur = !textureDraw; - r.mbFrames = 0; - needDraw[r.NODE] = true; - needDraw[r.DRAG] = true; - r.redraw(); - }, motionBlurDelay); - } - if (!forcedContext) { - cy.emit('render'); - } - }; - - var CRp$3 = {}; - - // @O Polygon drawing - CRp$3.drawPolygonPath = function (context, x, y, width, height, points) { - var halfW = width / 2; - var halfH = height / 2; - if (context.beginPath) { - context.beginPath(); - } - context.moveTo(x + halfW * points[0], y + halfH * points[1]); - for (var i = 1; i < points.length / 2; i++) { - context.lineTo(x + halfW * points[i * 2], y + halfH * points[i * 2 + 1]); - } - context.closePath(); - }; - CRp$3.drawRoundPolygonPath = function (context, x, y, width, height, points) { - var halfW = width / 2; - var halfH = height / 2; - var cornerRadius = getRoundPolygonRadius(width, height); - if (context.beginPath) { - context.beginPath(); - } - for (var _i = 0; _i < points.length / 4; _i++) { - var sourceUv = void 0, - destUv = void 0; - if (_i === 0) { - sourceUv = points.length - 2; - } else { - sourceUv = _i * 4 - 2; - } - destUv = _i * 4 + 2; - var px = x + halfW * points[_i * 4]; - var py = y + halfH * points[_i * 4 + 1]; - var cosTheta = -points[sourceUv] * points[destUv] - points[sourceUv + 1] * points[destUv + 1]; - var offset = cornerRadius / Math.tan(Math.acos(cosTheta) / 2); - var cp0x = px - offset * points[sourceUv]; - var cp0y = py - offset * points[sourceUv + 1]; - var cp1x = px + offset * points[destUv]; - var cp1y = py + offset * points[destUv + 1]; - if (_i === 0) { - context.moveTo(cp0x, cp0y); - } else { - context.lineTo(cp0x, cp0y); - } - context.arcTo(px, py, cp1x, cp1y, cornerRadius); - } - context.closePath(); - }; - - // Round rectangle drawing - CRp$3.drawRoundRectanglePath = function (context, x, y, width, height) { - var halfWidth = width / 2; - var halfHeight = height / 2; - var cornerRadius = getRoundRectangleRadius(width, height); - if (context.beginPath) { - context.beginPath(); - } - - // Start at top middle - context.moveTo(x, y - halfHeight); - // Arc from middle top to right side - context.arcTo(x + halfWidth, y - halfHeight, x + halfWidth, y, cornerRadius); - // Arc from right side to bottom - context.arcTo(x + halfWidth, y + halfHeight, x, y + halfHeight, cornerRadius); - // Arc from bottom to left side - context.arcTo(x - halfWidth, y + halfHeight, x - halfWidth, y, cornerRadius); - // Arc from left side to topBorder - context.arcTo(x - halfWidth, y - halfHeight, x, y - halfHeight, cornerRadius); - // Join line - context.lineTo(x, y - halfHeight); - context.closePath(); - }; - CRp$3.drawBottomRoundRectanglePath = function (context, x, y, width, height) { - var halfWidth = width / 2; - var halfHeight = height / 2; - var cornerRadius = getRoundRectangleRadius(width, height); - if (context.beginPath) { - context.beginPath(); - } - - // Start at top middle - context.moveTo(x, y - halfHeight); - context.lineTo(x + halfWidth, y - halfHeight); - context.lineTo(x + halfWidth, y); - context.arcTo(x + halfWidth, y + halfHeight, x, y + halfHeight, cornerRadius); - context.arcTo(x - halfWidth, y + halfHeight, x - halfWidth, y, cornerRadius); - context.lineTo(x - halfWidth, y - halfHeight); - context.lineTo(x, y - halfHeight); - context.closePath(); - }; - CRp$3.drawCutRectanglePath = function (context, x, y, width, height) { - var halfWidth = width / 2; - var halfHeight = height / 2; - var cornerLength = getCutRectangleCornerLength(); - if (context.beginPath) { - context.beginPath(); - } - context.moveTo(x - halfWidth + cornerLength, y - halfHeight); - context.lineTo(x + halfWidth - cornerLength, y - halfHeight); - context.lineTo(x + halfWidth, y - halfHeight + cornerLength); - context.lineTo(x + halfWidth, y + halfHeight - cornerLength); - context.lineTo(x + halfWidth - cornerLength, y + halfHeight); - context.lineTo(x - halfWidth + cornerLength, y + halfHeight); - context.lineTo(x - halfWidth, y + halfHeight - cornerLength); - context.lineTo(x - halfWidth, y - halfHeight + cornerLength); - context.closePath(); - }; - CRp$3.drawBarrelPath = function (context, x, y, width, height) { - var halfWidth = width / 2; - var halfHeight = height / 2; - var xBegin = x - halfWidth; - var xEnd = x + halfWidth; - var yBegin = y - halfHeight; - var yEnd = y + halfHeight; - var barrelCurveConstants = getBarrelCurveConstants(width, height); - var wOffset = barrelCurveConstants.widthOffset; - var hOffset = barrelCurveConstants.heightOffset; - var ctrlPtXOffset = barrelCurveConstants.ctrlPtOffsetPct * wOffset; - if (context.beginPath) { - context.beginPath(); - } - context.moveTo(xBegin, yBegin + hOffset); - context.lineTo(xBegin, yEnd - hOffset); - context.quadraticCurveTo(xBegin + ctrlPtXOffset, yEnd, xBegin + wOffset, yEnd); - context.lineTo(xEnd - wOffset, yEnd); - context.quadraticCurveTo(xEnd - ctrlPtXOffset, yEnd, xEnd, yEnd - hOffset); - context.lineTo(xEnd, yBegin + hOffset); - context.quadraticCurveTo(xEnd - ctrlPtXOffset, yBegin, xEnd - wOffset, yBegin); - context.lineTo(xBegin + wOffset, yBegin); - context.quadraticCurveTo(xBegin + ctrlPtXOffset, yBegin, xBegin, yBegin + hOffset); - context.closePath(); - }; - var sin0 = Math.sin(0); - var cos0 = Math.cos(0); - var sin = {}; - var cos = {}; - var ellipseStepSize = Math.PI / 40; - for (var i = 0 * Math.PI; i < 2 * Math.PI; i += ellipseStepSize) { - sin[i] = Math.sin(i); - cos[i] = Math.cos(i); - } - CRp$3.drawEllipsePath = function (context, centerX, centerY, width, height) { - if (context.beginPath) { - context.beginPath(); - } - if (context.ellipse) { - context.ellipse(centerX, centerY, width / 2, height / 2, 0, 0, 2 * Math.PI); - } else { - var xPos, yPos; - var rw = width / 2; - var rh = height / 2; - for (var i = 0 * Math.PI; i < 2 * Math.PI; i += ellipseStepSize) { - xPos = centerX - rw * sin[i] * sin0 + rw * cos[i] * cos0; - yPos = centerY + rh * cos[i] * sin0 + rh * sin[i] * cos0; - if (i === 0) { - context.moveTo(xPos, yPos); - } else { - context.lineTo(xPos, yPos); - } - } - } - context.closePath(); - }; - - /* global atob, ArrayBuffer, Uint8Array, Blob */ - var CRp$2 = {}; - CRp$2.createBuffer = function (w, h) { - var buffer = document.createElement('canvas'); // eslint-disable-line no-undef - buffer.width = w; - buffer.height = h; - return [buffer, buffer.getContext('2d')]; - }; - CRp$2.bufferCanvasImage = function (options) { - var cy = this.cy; - var eles = cy.mutableElements(); - var bb = eles.boundingBox(); - var ctrRect = this.findContainerClientCoords(); - var width = options.full ? Math.ceil(bb.w) : ctrRect[2]; - var height = options.full ? Math.ceil(bb.h) : ctrRect[3]; - var specdMaxDims = number$1(options.maxWidth) || number$1(options.maxHeight); - var pxRatio = this.getPixelRatio(); - var scale = 1; - if (options.scale !== undefined) { - width *= options.scale; - height *= options.scale; - scale = options.scale; - } else if (specdMaxDims) { - var maxScaleW = Infinity; - var maxScaleH = Infinity; - if (number$1(options.maxWidth)) { - maxScaleW = scale * options.maxWidth / width; - } - if (number$1(options.maxHeight)) { - maxScaleH = scale * options.maxHeight / height; - } - scale = Math.min(maxScaleW, maxScaleH); - width *= scale; - height *= scale; - } - if (!specdMaxDims) { - width *= pxRatio; - height *= pxRatio; - scale *= pxRatio; - } - var buffCanvas = document.createElement('canvas'); // eslint-disable-line no-undef - - buffCanvas.width = width; - buffCanvas.height = height; - buffCanvas.style.width = width + 'px'; - buffCanvas.style.height = height + 'px'; - var buffCxt = buffCanvas.getContext('2d'); - - // Rasterize the layers, but only if container has nonzero size - if (width > 0 && height > 0) { - buffCxt.clearRect(0, 0, width, height); - buffCxt.globalCompositeOperation = 'source-over'; - var zsortedEles = this.getCachedZSortedEles(); - if (options.full) { - // draw the full bounds of the graph - buffCxt.translate(-bb.x1 * scale, -bb.y1 * scale); - buffCxt.scale(scale, scale); - this.drawElements(buffCxt, zsortedEles); - buffCxt.scale(1 / scale, 1 / scale); - buffCxt.translate(bb.x1 * scale, bb.y1 * scale); - } else { - // draw the current view - var pan = cy.pan(); - var translation = { - x: pan.x * scale, - y: pan.y * scale - }; - scale *= cy.zoom(); - buffCxt.translate(translation.x, translation.y); - buffCxt.scale(scale, scale); - this.drawElements(buffCxt, zsortedEles); - buffCxt.scale(1 / scale, 1 / scale); - buffCxt.translate(-translation.x, -translation.y); - } - - // need to fill bg at end like this in order to fill cleared transparent pixels in jpgs - if (options.bg) { - buffCxt.globalCompositeOperation = 'destination-over'; - buffCxt.fillStyle = options.bg; - buffCxt.rect(0, 0, width, height); - buffCxt.fill(); - } - } - return buffCanvas; - }; - function b64ToBlob(b64, mimeType) { - var bytes = atob(b64); - var buff = new ArrayBuffer(bytes.length); - var buffUint8 = new Uint8Array(buff); - for (var i = 0; i < bytes.length; i++) { - buffUint8[i] = bytes.charCodeAt(i); - } - return new Blob([buff], { - type: mimeType - }); - } - function b64UriToB64(b64uri) { - var i = b64uri.indexOf(','); - return b64uri.substr(i + 1); - } - function output(options, canvas, mimeType) { - var getB64Uri = function getB64Uri() { - return canvas.toDataURL(mimeType, options.quality); - }; - switch (options.output) { - case 'blob-promise': - return new Promise$1(function (resolve, reject) { - try { - canvas.toBlob(function (blob) { - if (blob != null) { - resolve(blob); - } else { - reject(new Error('`canvas.toBlob()` sent a null value in its callback')); - } - }, mimeType, options.quality); - } catch (err) { - reject(err); - } - }); - case 'blob': - return b64ToBlob(b64UriToB64(getB64Uri()), mimeType); - case 'base64': - return b64UriToB64(getB64Uri()); - case 'base64uri': - default: - return getB64Uri(); - } - } - CRp$2.png = function (options) { - return output(options, this.bufferCanvasImage(options), 'image/png'); - }; - CRp$2.jpg = function (options) { - return output(options, this.bufferCanvasImage(options), 'image/jpeg'); - }; - - var CRp$1 = {}; - CRp$1.nodeShapeImpl = function (name, context, centerX, centerY, width, height, points) { - switch (name) { - case 'ellipse': - return this.drawEllipsePath(context, centerX, centerY, width, height); - case 'polygon': - return this.drawPolygonPath(context, centerX, centerY, width, height, points); - case 'round-polygon': - return this.drawRoundPolygonPath(context, centerX, centerY, width, height, points); - case 'roundrectangle': - case 'round-rectangle': - return this.drawRoundRectanglePath(context, centerX, centerY, width, height); - case 'cutrectangle': - case 'cut-rectangle': - return this.drawCutRectanglePath(context, centerX, centerY, width, height); - case 'bottomroundrectangle': - case 'bottom-round-rectangle': - return this.drawBottomRoundRectanglePath(context, centerX, centerY, width, height); - case 'barrel': - return this.drawBarrelPath(context, centerX, centerY, width, height); - } - }; - - var CR = CanvasRenderer; - var CRp = CanvasRenderer.prototype; - CRp.CANVAS_LAYERS = 3; - // - CRp.SELECT_BOX = 0; - CRp.DRAG = 1; - CRp.NODE = 2; - CRp.BUFFER_COUNT = 3; - // - CRp.TEXTURE_BUFFER = 0; - CRp.MOTIONBLUR_BUFFER_NODE = 1; - CRp.MOTIONBLUR_BUFFER_DRAG = 2; - function CanvasRenderer(options) { - var r = this; - r.data = { - canvases: new Array(CRp.CANVAS_LAYERS), - contexts: new Array(CRp.CANVAS_LAYERS), - canvasNeedsRedraw: new Array(CRp.CANVAS_LAYERS), - bufferCanvases: new Array(CRp.BUFFER_COUNT), - bufferContexts: new Array(CRp.CANVAS_LAYERS) - }; - var tapHlOffAttr = '-webkit-tap-highlight-color'; - var tapHlOffStyle = 'rgba(0,0,0,0)'; - r.data.canvasContainer = document.createElement('div'); // eslint-disable-line no-undef - var containerStyle = r.data.canvasContainer.style; - r.data.canvasContainer.style[tapHlOffAttr] = tapHlOffStyle; - containerStyle.position = 'relative'; - containerStyle.zIndex = '0'; - containerStyle.overflow = 'hidden'; - var container = options.cy.container(); - container.appendChild(r.data.canvasContainer); - container.style[tapHlOffAttr] = tapHlOffStyle; - var styleMap = { - '-webkit-user-select': 'none', - '-moz-user-select': '-moz-none', - 'user-select': 'none', - '-webkit-tap-highlight-color': 'rgba(0,0,0,0)', - 'outline-style': 'none' - }; - if (ms()) { - styleMap['-ms-touch-action'] = 'none'; - styleMap['touch-action'] = 'none'; - } - for (var i = 0; i < CRp.CANVAS_LAYERS; i++) { - var canvas = r.data.canvases[i] = document.createElement('canvas'); // eslint-disable-line no-undef - r.data.contexts[i] = canvas.getContext('2d'); - Object.keys(styleMap).forEach(function (k) { - canvas.style[k] = styleMap[k]; - }); - canvas.style.position = 'absolute'; - canvas.setAttribute('data-id', 'layer' + i); - canvas.style.zIndex = String(CRp.CANVAS_LAYERS - i); - r.data.canvasContainer.appendChild(canvas); - r.data.canvasNeedsRedraw[i] = false; - } - r.data.topCanvas = r.data.canvases[0]; - r.data.canvases[CRp.NODE].setAttribute('data-id', 'layer' + CRp.NODE + '-node'); - r.data.canvases[CRp.SELECT_BOX].setAttribute('data-id', 'layer' + CRp.SELECT_BOX + '-selectbox'); - r.data.canvases[CRp.DRAG].setAttribute('data-id', 'layer' + CRp.DRAG + '-drag'); - for (var i = 0; i < CRp.BUFFER_COUNT; i++) { - r.data.bufferCanvases[i] = document.createElement('canvas'); // eslint-disable-line no-undef - r.data.bufferContexts[i] = r.data.bufferCanvases[i].getContext('2d'); - r.data.bufferCanvases[i].style.position = 'absolute'; - r.data.bufferCanvases[i].setAttribute('data-id', 'buffer' + i); - r.data.bufferCanvases[i].style.zIndex = String(-i - 1); - r.data.bufferCanvases[i].style.visibility = 'hidden'; - //r.data.canvasContainer.appendChild(r.data.bufferCanvases[i]); - } - - r.pathsEnabled = true; - var emptyBb = makeBoundingBox(); - var getBoxCenter = function getBoxCenter(bb) { - return { - x: (bb.x1 + bb.x2) / 2, - y: (bb.y1 + bb.y2) / 2 - }; - }; - var getCenterOffset = function getCenterOffset(bb) { - return { - x: -bb.w / 2, - y: -bb.h / 2 - }; - }; - var backgroundTimestampHasChanged = function backgroundTimestampHasChanged(ele) { - var _p = ele[0]._private; - var same = _p.oldBackgroundTimestamp === _p.backgroundTimestamp; - return !same; - }; - var getStyleKey = function getStyleKey(ele) { - return ele[0]._private.nodeKey; - }; - var getLabelKey = function getLabelKey(ele) { - return ele[0]._private.labelStyleKey; - }; - var getSourceLabelKey = function getSourceLabelKey(ele) { - return ele[0]._private.sourceLabelStyleKey; - }; - var getTargetLabelKey = function getTargetLabelKey(ele) { - return ele[0]._private.targetLabelStyleKey; - }; - var drawElement = function drawElement(context, ele, bb, scaledLabelShown, useEleOpacity) { - return r.drawElement(context, ele, bb, false, false, useEleOpacity); - }; - var drawLabel = function drawLabel(context, ele, bb, scaledLabelShown, useEleOpacity) { - return r.drawElementText(context, ele, bb, scaledLabelShown, 'main', useEleOpacity); - }; - var drawSourceLabel = function drawSourceLabel(context, ele, bb, scaledLabelShown, useEleOpacity) { - return r.drawElementText(context, ele, bb, scaledLabelShown, 'source', useEleOpacity); - }; - var drawTargetLabel = function drawTargetLabel(context, ele, bb, scaledLabelShown, useEleOpacity) { - return r.drawElementText(context, ele, bb, scaledLabelShown, 'target', useEleOpacity); - }; - var getElementBox = function getElementBox(ele) { - ele.boundingBox(); - return ele[0]._private.bodyBounds; - }; - var getLabelBox = function getLabelBox(ele) { - ele.boundingBox(); - return ele[0]._private.labelBounds.main || emptyBb; - }; - var getSourceLabelBox = function getSourceLabelBox(ele) { - ele.boundingBox(); - return ele[0]._private.labelBounds.source || emptyBb; - }; - var getTargetLabelBox = function getTargetLabelBox(ele) { - ele.boundingBox(); - return ele[0]._private.labelBounds.target || emptyBb; - }; - var isLabelVisibleAtScale = function isLabelVisibleAtScale(ele, scaledLabelShown) { - return scaledLabelShown; - }; - var getElementRotationPoint = function getElementRotationPoint(ele) { - return getBoxCenter(getElementBox(ele)); - }; - var addTextMargin = function addTextMargin(prefix, pt, ele) { - var pre = prefix ? prefix + '-' : ''; - return { - x: pt.x + ele.pstyle(pre + 'text-margin-x').pfValue, - y: pt.y + ele.pstyle(pre + 'text-margin-y').pfValue - }; - }; - var getRsPt = function getRsPt(ele, x, y) { - var rs = ele[0]._private.rscratch; - return { - x: rs[x], - y: rs[y] - }; - }; - var getLabelRotationPoint = function getLabelRotationPoint(ele) { - return addTextMargin('', getRsPt(ele, 'labelX', 'labelY'), ele); - }; - var getSourceLabelRotationPoint = function getSourceLabelRotationPoint(ele) { - return addTextMargin('source', getRsPt(ele, 'sourceLabelX', 'sourceLabelY'), ele); - }; - var getTargetLabelRotationPoint = function getTargetLabelRotationPoint(ele) { - return addTextMargin('target', getRsPt(ele, 'targetLabelX', 'targetLabelY'), ele); - }; - var getElementRotationOffset = function getElementRotationOffset(ele) { - return getCenterOffset(getElementBox(ele)); - }; - var getSourceLabelRotationOffset = function getSourceLabelRotationOffset(ele) { - return getCenterOffset(getSourceLabelBox(ele)); - }; - var getTargetLabelRotationOffset = function getTargetLabelRotationOffset(ele) { - return getCenterOffset(getTargetLabelBox(ele)); - }; - var getLabelRotationOffset = function getLabelRotationOffset(ele) { - var bb = getLabelBox(ele); - var p = getCenterOffset(getLabelBox(ele)); - if (ele.isNode()) { - switch (ele.pstyle('text-halign').value) { - case 'left': - p.x = -bb.w; - break; - case 'right': - p.x = 0; - break; - } - switch (ele.pstyle('text-valign').value) { - case 'top': - p.y = -bb.h; - break; - case 'bottom': - p.y = 0; - break; - } - } - return p; - }; - var eleTxrCache = r.data.eleTxrCache = new ElementTextureCache(r, { - getKey: getStyleKey, - doesEleInvalidateKey: backgroundTimestampHasChanged, - drawElement: drawElement, - getBoundingBox: getElementBox, - getRotationPoint: getElementRotationPoint, - getRotationOffset: getElementRotationOffset, - allowEdgeTxrCaching: false, - allowParentTxrCaching: false - }); - var lblTxrCache = r.data.lblTxrCache = new ElementTextureCache(r, { - getKey: getLabelKey, - drawElement: drawLabel, - getBoundingBox: getLabelBox, - getRotationPoint: getLabelRotationPoint, - getRotationOffset: getLabelRotationOffset, - isVisible: isLabelVisibleAtScale - }); - var slbTxrCache = r.data.slbTxrCache = new ElementTextureCache(r, { - getKey: getSourceLabelKey, - drawElement: drawSourceLabel, - getBoundingBox: getSourceLabelBox, - getRotationPoint: getSourceLabelRotationPoint, - getRotationOffset: getSourceLabelRotationOffset, - isVisible: isLabelVisibleAtScale - }); - var tlbTxrCache = r.data.tlbTxrCache = new ElementTextureCache(r, { - getKey: getTargetLabelKey, - drawElement: drawTargetLabel, - getBoundingBox: getTargetLabelBox, - getRotationPoint: getTargetLabelRotationPoint, - getRotationOffset: getTargetLabelRotationOffset, - isVisible: isLabelVisibleAtScale - }); - var lyrTxrCache = r.data.lyrTxrCache = new LayeredTextureCache(r); - r.onUpdateEleCalcs(function invalidateTextureCaches(willDraw, eles) { - // each cache should check for sub-key diff to see that the update affects that cache particularly - eleTxrCache.invalidateElements(eles); - lblTxrCache.invalidateElements(eles); - slbTxrCache.invalidateElements(eles); - tlbTxrCache.invalidateElements(eles); - - // any change invalidates the layers - lyrTxrCache.invalidateElements(eles); - - // update the old bg timestamp so diffs can be done in the ele txr caches - for (var _i = 0; _i < eles.length; _i++) { - var _p = eles[_i]._private; - _p.oldBackgroundTimestamp = _p.backgroundTimestamp; - } - }); - var refineInLayers = function refineInLayers(reqs) { - for (var i = 0; i < reqs.length; i++) { - lyrTxrCache.enqueueElementRefinement(reqs[i].ele); - } - }; - eleTxrCache.onDequeue(refineInLayers); - lblTxrCache.onDequeue(refineInLayers); - slbTxrCache.onDequeue(refineInLayers); - tlbTxrCache.onDequeue(refineInLayers); - } - CRp.redrawHint = function (group, bool) { - var r = this; - switch (group) { - case 'eles': - r.data.canvasNeedsRedraw[CRp.NODE] = bool; - break; - case 'drag': - r.data.canvasNeedsRedraw[CRp.DRAG] = bool; - break; - case 'select': - r.data.canvasNeedsRedraw[CRp.SELECT_BOX] = bool; - break; - } - }; - - // whether to use Path2D caching for drawing - var pathsImpld = typeof Path2D !== 'undefined'; - CRp.path2dEnabled = function (on) { - if (on === undefined) { - return this.pathsEnabled; - } - this.pathsEnabled = on ? true : false; - }; - CRp.usePaths = function () { - return pathsImpld && this.pathsEnabled; - }; - CRp.setImgSmoothing = function (context, bool) { - if (context.imageSmoothingEnabled != null) { - context.imageSmoothingEnabled = bool; - } else { - context.webkitImageSmoothingEnabled = bool; - context.mozImageSmoothingEnabled = bool; - context.msImageSmoothingEnabled = bool; - } - }; - CRp.getImgSmoothing = function (context) { - if (context.imageSmoothingEnabled != null) { - return context.imageSmoothingEnabled; - } else { - return context.webkitImageSmoothingEnabled || context.mozImageSmoothingEnabled || context.msImageSmoothingEnabled; - } - }; - CRp.makeOffscreenCanvas = function (width, height) { - var canvas; - if ((typeof OffscreenCanvas === "undefined" ? "undefined" : _typeof(OffscreenCanvas)) !== ("undefined" )) { - canvas = new OffscreenCanvas(width, height); - } else { - canvas = document.createElement('canvas'); // eslint-disable-line no-undef - canvas.width = width; - canvas.height = height; - } - return canvas; - }; - [CRp$a, CRp$9, CRp$8, CRp$7, CRp$6, CRp$5, CRp$4, CRp$3, CRp$2, CRp$1].forEach(function (props) { - extend(CRp, props); - }); - - var renderer = [{ - name: 'null', - impl: NullRenderer - }, { - name: 'base', - impl: BR - }, { - name: 'canvas', - impl: CR - }]; - - var incExts = [{ - type: 'layout', - extensions: layout - }, { - type: 'renderer', - extensions: renderer - }]; - - // registered extensions to cytoscape, indexed by name - var extensions = {}; - - // registered modules for extensions, indexed by name - var modules = {}; - function setExtension(type, name, registrant) { - var ext = registrant; - var overrideErr = function overrideErr(field) { - warn('Can not register `' + name + '` for `' + type + '` since `' + field + '` already exists in the prototype and can not be overridden'); - }; - if (type === 'core') { - if (Core.prototype[name]) { - return overrideErr(name); - } else { - Core.prototype[name] = registrant; - } - } else if (type === 'collection') { - if (Collection.prototype[name]) { - return overrideErr(name); - } else { - Collection.prototype[name] = registrant; - } - } else if (type === 'layout') { - // fill in missing layout functions in the prototype - - var Layout = function Layout(options) { - this.options = options; - registrant.call(this, options); - - // make sure layout has _private for use w/ std apis like .on() - if (!plainObject(this._private)) { - this._private = {}; - } - this._private.cy = options.cy; - this._private.listeners = []; - this.createEmitter(); - }; - var layoutProto = Layout.prototype = Object.create(registrant.prototype); - var optLayoutFns = []; - for (var i = 0; i < optLayoutFns.length; i++) { - var fnName = optLayoutFns[i]; - layoutProto[fnName] = layoutProto[fnName] || function () { - return this; - }; - } - - // either .start() or .run() is defined, so autogen the other - if (layoutProto.start && !layoutProto.run) { - layoutProto.run = function () { - this.start(); - return this; - }; - } else if (!layoutProto.start && layoutProto.run) { - layoutProto.start = function () { - this.run(); - return this; - }; - } - var regStop = registrant.prototype.stop; - layoutProto.stop = function () { - var opts = this.options; - if (opts && opts.animate) { - var anis = this.animations; - if (anis) { - for (var _i = 0; _i < anis.length; _i++) { - anis[_i].stop(); - } - } - } - if (regStop) { - regStop.call(this); - } else { - this.emit('layoutstop'); - } - return this; - }; - if (!layoutProto.destroy) { - layoutProto.destroy = function () { - return this; - }; - } - layoutProto.cy = function () { - return this._private.cy; - }; - var getCy = function getCy(layout) { - return layout._private.cy; - }; - var emitterOpts = { - addEventFields: function addEventFields(layout, evt) { - evt.layout = layout; - evt.cy = getCy(layout); - evt.target = layout; - }, - bubble: function bubble() { - return true; - }, - parent: function parent(layout) { - return getCy(layout); - } - }; - extend(layoutProto, { - createEmitter: function createEmitter() { - this._private.emitter = new Emitter(emitterOpts, this); - return this; - }, - emitter: function emitter() { - return this._private.emitter; - }, - on: function on(evt, cb) { - this.emitter().on(evt, cb); - return this; - }, - one: function one(evt, cb) { - this.emitter().one(evt, cb); - return this; - }, - once: function once(evt, cb) { - this.emitter().one(evt, cb); - return this; - }, - removeListener: function removeListener(evt, cb) { - this.emitter().removeListener(evt, cb); - return this; - }, - removeAllListeners: function removeAllListeners() { - this.emitter().removeAllListeners(); - return this; - }, - emit: function emit(evt, params) { - this.emitter().emit(evt, params); - return this; - } - }); - define.eventAliasesOn(layoutProto); - ext = Layout; // replace with our wrapped layout - } else if (type === 'renderer' && name !== 'null' && name !== 'base') { - // user registered renderers inherit from base - - var BaseRenderer = getExtension('renderer', 'base'); - var bProto = BaseRenderer.prototype; - var RegistrantRenderer = registrant; - var rProto = registrant.prototype; - var Renderer = function Renderer() { - BaseRenderer.apply(this, arguments); - RegistrantRenderer.apply(this, arguments); - }; - var proto = Renderer.prototype; - for (var pName in bProto) { - var pVal = bProto[pName]; - var existsInR = rProto[pName] != null; - if (existsInR) { - return overrideErr(pName); - } - proto[pName] = pVal; // take impl from base - } - - for (var _pName in rProto) { - proto[_pName] = rProto[_pName]; // take impl from registrant - } - - bProto.clientFunctions.forEach(function (name) { - proto[name] = proto[name] || function () { - error('Renderer does not implement `renderer.' + name + '()` on its prototype'); - }; - }); - ext = Renderer; - } else if (type === '__proto__' || type === 'constructor' || type === 'prototype') { - // to avoid potential prototype pollution - return error(type + ' is an illegal type to be registered, possibly lead to prototype pollutions'); - } - return setMap({ - map: extensions, - keys: [type, name], - value: ext - }); - } - function getExtension(type, name) { - return getMap({ - map: extensions, - keys: [type, name] - }); - } - function setModule(type, name, moduleType, moduleName, registrant) { - return setMap({ - map: modules, - keys: [type, name, moduleType, moduleName], - value: registrant - }); - } - function getModule(type, name, moduleType, moduleName) { - return getMap({ - map: modules, - keys: [type, name, moduleType, moduleName] - }); - } - var extension = function extension() { - // e.g. extension('renderer', 'svg') - if (arguments.length === 2) { - return getExtension.apply(null, arguments); - } - - // e.g. extension('renderer', 'svg', { ... }) - else if (arguments.length === 3) { - return setExtension.apply(null, arguments); - } - - // e.g. extension('renderer', 'svg', 'nodeShape', 'ellipse') - else if (arguments.length === 4) { - return getModule.apply(null, arguments); - } - - // e.g. extension('renderer', 'svg', 'nodeShape', 'ellipse', { ... }) - else if (arguments.length === 5) { - return setModule.apply(null, arguments); - } else { - error('Invalid extension access syntax'); - } - }; - - // allows a core instance to access extensions internally - Core.prototype.extension = extension; - - // included extensions - incExts.forEach(function (group) { - group.extensions.forEach(function (ext) { - setExtension(group.type, ext.name, ext.impl); - }); - }); - - // a dummy stylesheet object that doesn't need a reference to the core - // (useful for init) - var Stylesheet = function Stylesheet() { - if (!(this instanceof Stylesheet)) { - return new Stylesheet(); - } - this.length = 0; - }; - var sheetfn = Stylesheet.prototype; - sheetfn.instanceString = function () { - return 'stylesheet'; - }; - - // just store the selector to be parsed later - sheetfn.selector = function (selector) { - var i = this.length++; - this[i] = { - selector: selector, - properties: [] - }; - return this; // chaining - }; - - // just store the property to be parsed later - sheetfn.css = function (name, value) { - var i = this.length - 1; - if (string(name)) { - this[i].properties.push({ - name: name, - value: value - }); - } else if (plainObject(name)) { - var map = name; - var propNames = Object.keys(map); - for (var j = 0; j < propNames.length; j++) { - var key = propNames[j]; - var mapVal = map[key]; - if (mapVal == null) { - continue; - } - var prop = Style.properties[key] || Style.properties[dash2camel(key)]; - if (prop == null) { - continue; - } - var _name = prop.name; - var _value = mapVal; - this[i].properties.push({ - name: _name, - value: _value - }); - } - } - return this; // chaining - }; - - sheetfn.style = sheetfn.css; - - // generate a real style object from the dummy stylesheet - sheetfn.generateStyle = function (cy) { - var style = new Style(cy); - return this.appendToStyle(style); - }; - - // append a dummy stylesheet object on a real style object - sheetfn.appendToStyle = function (style) { - for (var i = 0; i < this.length; i++) { - var context = this[i]; - var selector = context.selector; - var props = context.properties; - style.selector(selector); // apply selector - - for (var j = 0; j < props.length; j++) { - var prop = props[j]; - style.css(prop.name, prop.value); // apply property - } - } - - return style; - }; - - var version = "3.28.1"; - - var cytoscape = function cytoscape(options) { - // if no options specified, use default - if (options === undefined) { - options = {}; - } - - // create instance - if (plainObject(options)) { - return new Core(options); - } - - // allow for registration of extensions - else if (string(options)) { - return extension.apply(extension, arguments); - } - }; - - // e.g. cytoscape.use( require('cytoscape-foo'), bar ) - cytoscape.use = function (ext) { - var args = Array.prototype.slice.call(arguments, 1); // args to pass to ext - - args.unshift(cytoscape); // cytoscape is first arg to ext - - ext.apply(null, args); - return this; - }; - cytoscape.warnings = function (bool) { - return warnings(bool); - }; - - // replaced by build system - cytoscape.version = version; - - // expose public apis (mostly for extensions) - cytoscape.stylesheet = cytoscape.Stylesheet = Stylesheet; - - return cytoscape; - -})); - - -/***/ }), - -/***/ 82241: -/***/ (function(module) { - -(function webpackUniversalModuleDefinition(root, factory) { - if(true) - module.exports = factory(); - else {} -})(this, function() { -return /******/ (function(modules) { // webpackBootstrap -/******/ // The module cache -/******/ var installedModules = {}; -/******/ -/******/ // The require function -/******/ function __nested_webpack_require_543__(moduleId) { -/******/ -/******/ // Check if module is in cache -/******/ if(installedModules[moduleId]) { -/******/ return installedModules[moduleId].exports; -/******/ } -/******/ // Create a new module (and put it into the cache) -/******/ var module = installedModules[moduleId] = { -/******/ i: moduleId, -/******/ l: false, -/******/ exports: {} -/******/ }; -/******/ -/******/ // Execute the module function -/******/ modules[moduleId].call(module.exports, module, module.exports, __nested_webpack_require_543__); 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} : -/******/ function getModuleExports() { return module; }; -/******/ __nested_webpack_require_543__.d(getter, 'a', getter); -/******/ return getter; -/******/ }; -/******/ -/******/ // Object.prototype.hasOwnProperty.call -/******/ __nested_webpack_require_543__.o = function(object, property) { return Object.prototype.hasOwnProperty.call(object, property); }; -/******/ -/******/ // __webpack_public_path__ -/******/ __nested_webpack_require_543__.p = ""; -/******/ -/******/ // Load entry module and return exports -/******/ return __nested_webpack_require_543__(__nested_webpack_require_543__.s = 26); -/******/ }) -/************************************************************************/ -/******/ ([ -/* 0 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function LayoutConstants() {} - -/** - * Layout Quality: 0:draft, 1:default, 2:proof - */ -LayoutConstants.QUALITY = 1; - -/** - * Default parameters - */ -LayoutConstants.DEFAULT_CREATE_BENDS_AS_NEEDED = false; -LayoutConstants.DEFAULT_INCREMENTAL = false; -LayoutConstants.DEFAULT_ANIMATION_ON_LAYOUT = true; -LayoutConstants.DEFAULT_ANIMATION_DURING_LAYOUT = false; -LayoutConstants.DEFAULT_ANIMATION_PERIOD = 50; -LayoutConstants.DEFAULT_UNIFORM_LEAF_NODE_SIZES = false; - -// ----------------------------------------------------------------------------- -// Section: General other constants -// ----------------------------------------------------------------------------- -/* - * Margins of a graph to be applied on bouding rectangle of its contents. We - * assume margins on all four sides to be uniform. - */ -LayoutConstants.DEFAULT_GRAPH_MARGIN = 15; - -/* - * Whether to consider labels in node dimensions or not - */ -LayoutConstants.NODE_DIMENSIONS_INCLUDE_LABELS = false; - -/* - * Default dimension of a non-compound node. - */ -LayoutConstants.SIMPLE_NODE_SIZE = 40; - -/* - * Default dimension of a non-compound node. - */ -LayoutConstants.SIMPLE_NODE_HALF_SIZE = LayoutConstants.SIMPLE_NODE_SIZE / 2; - -/* - * Empty compound node size. When a compound node is empty, its both - * dimensions should be of this value. - */ -LayoutConstants.EMPTY_COMPOUND_NODE_SIZE = 40; - -/* - * Minimum length that an edge should take during layout - */ -LayoutConstants.MIN_EDGE_LENGTH = 1; - -/* - * World boundaries that layout operates on - */ -LayoutConstants.WORLD_BOUNDARY = 1000000; - -/* - * World boundaries that random positioning can be performed with - */ -LayoutConstants.INITIAL_WORLD_BOUNDARY = LayoutConstants.WORLD_BOUNDARY / 1000; - -/* - * Coordinates of the world center - */ -LayoutConstants.WORLD_CENTER_X = 1200; -LayoutConstants.WORLD_CENTER_Y = 900; - -module.exports = LayoutConstants; - -/***/ }), -/* 1 */ -/***/ (function(module, exports, __nested_webpack_require_4947__) { - -"use strict"; - - -var LGraphObject = __nested_webpack_require_4947__(2); -var IGeometry = __nested_webpack_require_4947__(8); -var IMath = __nested_webpack_require_4947__(9); - -function LEdge(source, target, vEdge) { - LGraphObject.call(this, vEdge); - - this.isOverlapingSourceAndTarget = false; - this.vGraphObject = vEdge; - this.bendpoints = []; - this.source = source; - this.target = target; -} - -LEdge.prototype = Object.create(LGraphObject.prototype); - -for (var prop in LGraphObject) { - LEdge[prop] = LGraphObject[prop]; -} - -LEdge.prototype.getSource = function () { - return this.source; -}; - -LEdge.prototype.getTarget = function () { - return this.target; -}; - -LEdge.prototype.isInterGraph = function () { - return this.isInterGraph; -}; - -LEdge.prototype.getLength = function () { - return this.length; -}; - -LEdge.prototype.isOverlapingSourceAndTarget = function () { - return this.isOverlapingSourceAndTarget; -}; - -LEdge.prototype.getBendpoints = function () { - return this.bendpoints; -}; - -LEdge.prototype.getLca = function () { - return this.lca; -}; - -LEdge.prototype.getSourceInLca = function () { - return this.sourceInLca; -}; - -LEdge.prototype.getTargetInLca = function () { - return this.targetInLca; -}; - -LEdge.prototype.getOtherEnd = function (node) { - if (this.source === node) { - return this.target; - } else if (this.target === node) { - return this.source; - } else { - throw "Node is not incident with this edge"; - } -}; - -LEdge.prototype.getOtherEndInGraph = function (node, graph) { - var otherEnd = this.getOtherEnd(node); - var root = graph.getGraphManager().getRoot(); - - while (true) { - if (otherEnd.getOwner() == graph) { - return otherEnd; - } - - if (otherEnd.getOwner() == root) { - break; - } - - otherEnd = otherEnd.getOwner().getParent(); - } - - return null; -}; - -LEdge.prototype.updateLength = function () { - var clipPointCoordinates = new Array(4); - - this.isOverlapingSourceAndTarget = IGeometry.getIntersection(this.target.getRect(), this.source.getRect(), clipPointCoordinates); - - if (!this.isOverlapingSourceAndTarget) { - this.lengthX = clipPointCoordinates[0] - clipPointCoordinates[2]; - this.lengthY = clipPointCoordinates[1] - clipPointCoordinates[3]; - - if (Math.abs(this.lengthX) < 1.0) { - this.lengthX = IMath.sign(this.lengthX); - } - - if (Math.abs(this.lengthY) < 1.0) { - this.lengthY = IMath.sign(this.lengthY); - } - - this.length = Math.sqrt(this.lengthX * this.lengthX + this.lengthY * this.lengthY); - } -}; - -LEdge.prototype.updateLengthSimple = function () { - this.lengthX = this.target.getCenterX() - this.source.getCenterX(); - this.lengthY = this.target.getCenterY() - this.source.getCenterY(); - - if (Math.abs(this.lengthX) < 1.0) { - this.lengthX = IMath.sign(this.lengthX); - } - - if (Math.abs(this.lengthY) < 1.0) { - this.lengthY = IMath.sign(this.lengthY); - } - - this.length = Math.sqrt(this.lengthX * this.lengthX + this.lengthY * this.lengthY); -}; - -module.exports = LEdge; - -/***/ }), -/* 2 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function LGraphObject(vGraphObject) { - this.vGraphObject = vGraphObject; -} - -module.exports = LGraphObject; - -/***/ }), -/* 3 */ -/***/ (function(module, exports, __nested_webpack_require_8167__) { - -"use strict"; - - -var LGraphObject = __nested_webpack_require_8167__(2); -var Integer = __nested_webpack_require_8167__(10); -var RectangleD = __nested_webpack_require_8167__(13); -var LayoutConstants = __nested_webpack_require_8167__(0); -var RandomSeed = __nested_webpack_require_8167__(16); -var PointD = __nested_webpack_require_8167__(4); - -function LNode(gm, loc, size, vNode) { - //Alternative constructor 1 : LNode(LGraphManager gm, Point loc, Dimension size, Object vNode) - if (size == null && vNode == null) { - vNode = loc; - } - - LGraphObject.call(this, vNode); - - //Alternative constructor 2 : LNode(Layout layout, Object vNode) - if (gm.graphManager != null) gm = gm.graphManager; - - this.estimatedSize = Integer.MIN_VALUE; - this.inclusionTreeDepth = Integer.MAX_VALUE; - this.vGraphObject = vNode; - this.edges = []; - this.graphManager = gm; - - if (size != null && loc != null) this.rect = new RectangleD(loc.x, loc.y, size.width, size.height);else this.rect = new RectangleD(); -} - -LNode.prototype = Object.create(LGraphObject.prototype); -for (var prop in LGraphObject) { - LNode[prop] = LGraphObject[prop]; -} - -LNode.prototype.getEdges = function () { - return this.edges; -}; - -LNode.prototype.getChild = function () { - return this.child; -}; - -LNode.prototype.getOwner = function () { - // if (this.owner != null) { - // if (!(this.owner == null || this.owner.getNodes().indexOf(this) > -1)) { - // throw "assert failed"; - // } - // } - - return this.owner; -}; - -LNode.prototype.getWidth = function () { - return this.rect.width; -}; - -LNode.prototype.setWidth = function (width) { - this.rect.width = width; -}; - -LNode.prototype.getHeight = function () { - return this.rect.height; -}; - -LNode.prototype.setHeight = function (height) { - this.rect.height = height; -}; - -LNode.prototype.getCenterX = function () { - return this.rect.x + this.rect.width / 2; -}; - -LNode.prototype.getCenterY = function () { - return this.rect.y + this.rect.height / 2; -}; - -LNode.prototype.getCenter = function () { - return new PointD(this.rect.x + this.rect.width / 2, this.rect.y + this.rect.height / 2); -}; - -LNode.prototype.getLocation = function () { - return new PointD(this.rect.x, this.rect.y); -}; - -LNode.prototype.getRect = function () { - return this.rect; -}; - -LNode.prototype.getDiagonal = function () { - return Math.sqrt(this.rect.width * this.rect.width + this.rect.height * this.rect.height); -}; - -/** - * This method returns half the diagonal length of this node. - */ -LNode.prototype.getHalfTheDiagonal = function () { - return Math.sqrt(this.rect.height * this.rect.height + this.rect.width * this.rect.width) / 2; -}; - -LNode.prototype.setRect = function (upperLeft, dimension) { - this.rect.x = upperLeft.x; - this.rect.y = upperLeft.y; - this.rect.width = dimension.width; - this.rect.height = dimension.height; -}; - -LNode.prototype.setCenter = function (cx, cy) { - this.rect.x = cx - this.rect.width / 2; - this.rect.y = cy - this.rect.height / 2; -}; - -LNode.prototype.setLocation = function (x, y) { - this.rect.x = x; - this.rect.y = y; -}; - -LNode.prototype.moveBy = function (dx, dy) { - this.rect.x += dx; - this.rect.y += dy; -}; - -LNode.prototype.getEdgeListToNode = function (to) { - var edgeList = []; - var edge; - var self = this; - - self.edges.forEach(function (edge) { - - if (edge.target == to) { - if (edge.source != self) throw "Incorrect edge source!"; - - edgeList.push(edge); - } - }); - - return edgeList; -}; - -LNode.prototype.getEdgesBetween = function (other) { - var edgeList = []; - var edge; - - var self = this; - self.edges.forEach(function (edge) { - - if (!(edge.source == self || edge.target == self)) throw "Incorrect edge source and/or target"; - - if (edge.target == other || edge.source == other) { - edgeList.push(edge); - } - }); - - return edgeList; -}; - -LNode.prototype.getNeighborsList = function () { - var neighbors = new Set(); - - var self = this; - self.edges.forEach(function (edge) { - - if (edge.source == self) { - neighbors.add(edge.target); - } else { - if (edge.target != self) { - throw "Incorrect incidency!"; - } - - neighbors.add(edge.source); - } - }); - - return neighbors; -}; - -LNode.prototype.withChildren = function () { - var withNeighborsList = new Set(); - var childNode; - var children; - - withNeighborsList.add(this); - - if (this.child != null) { - var nodes = this.child.getNodes(); - for (var i = 0; i < nodes.length; i++) { - childNode = nodes[i]; - children = childNode.withChildren(); - children.forEach(function (node) { - withNeighborsList.add(node); - }); - } - } - - return withNeighborsList; -}; - -LNode.prototype.getNoOfChildren = function () { - var noOfChildren = 0; - var childNode; - - if (this.child == null) { - noOfChildren = 1; - } else { - var nodes = this.child.getNodes(); - for (var i = 0; i < nodes.length; i++) { - childNode = nodes[i]; - - noOfChildren += childNode.getNoOfChildren(); - } - } - - if (noOfChildren == 0) { - noOfChildren = 1; - } - return noOfChildren; -}; - -LNode.prototype.getEstimatedSize = function () { - if (this.estimatedSize == Integer.MIN_VALUE) { - throw "assert failed"; - } - return this.estimatedSize; -}; - -LNode.prototype.calcEstimatedSize = function () { - if (this.child == null) { - return this.estimatedSize = (this.rect.width + this.rect.height) / 2; - } else { - this.estimatedSize = this.child.calcEstimatedSize(); - this.rect.width = this.estimatedSize; - this.rect.height = this.estimatedSize; - - return this.estimatedSize; - } -}; - -LNode.prototype.scatter = function () { - var randomCenterX; - var randomCenterY; - - var minX = -LayoutConstants.INITIAL_WORLD_BOUNDARY; - var maxX = LayoutConstants.INITIAL_WORLD_BOUNDARY; - randomCenterX = LayoutConstants.WORLD_CENTER_X + RandomSeed.nextDouble() * (maxX - minX) + minX; - - var minY = -LayoutConstants.INITIAL_WORLD_BOUNDARY; - var maxY = LayoutConstants.INITIAL_WORLD_BOUNDARY; - randomCenterY = LayoutConstants.WORLD_CENTER_Y + RandomSeed.nextDouble() * (maxY - minY) + minY; - - this.rect.x = randomCenterX; - this.rect.y = randomCenterY; -}; - -LNode.prototype.updateBounds = function () { - if (this.getChild() == null) { - throw "assert failed"; - } - if (this.getChild().getNodes().length != 0) { - // wrap the children nodes by re-arranging the boundaries - var childGraph = this.getChild(); - childGraph.updateBounds(true); - - this.rect.x = childGraph.getLeft(); - this.rect.y = childGraph.getTop(); - - this.setWidth(childGraph.getRight() - childGraph.getLeft()); - this.setHeight(childGraph.getBottom() - childGraph.getTop()); - - // Update compound bounds considering its label properties - if (LayoutConstants.NODE_DIMENSIONS_INCLUDE_LABELS) { - - var width = childGraph.getRight() - childGraph.getLeft(); - var height = childGraph.getBottom() - childGraph.getTop(); - - if (this.labelWidth > width) { - this.rect.x -= (this.labelWidth - width) / 2; - this.setWidth(this.labelWidth); - } - - if (this.labelHeight > height) { - if (this.labelPos == "center") { - this.rect.y -= (this.labelHeight - height) / 2; - } else if (this.labelPos == "top") { - this.rect.y -= this.labelHeight - height; - } - this.setHeight(this.labelHeight); - } - } - } -}; - -LNode.prototype.getInclusionTreeDepth = function () { - if (this.inclusionTreeDepth == Integer.MAX_VALUE) { - throw "assert failed"; - } - return this.inclusionTreeDepth; -}; - -LNode.prototype.transform = function (trans) { - var left = this.rect.x; - - if (left > LayoutConstants.WORLD_BOUNDARY) { - left = LayoutConstants.WORLD_BOUNDARY; - } else if (left < -LayoutConstants.WORLD_BOUNDARY) { - left = -LayoutConstants.WORLD_BOUNDARY; - } - - var top = this.rect.y; - - if (top > LayoutConstants.WORLD_BOUNDARY) { - top = LayoutConstants.WORLD_BOUNDARY; - } else if (top < -LayoutConstants.WORLD_BOUNDARY) { - top = -LayoutConstants.WORLD_BOUNDARY; - } - - var leftTop = new PointD(left, top); - var vLeftTop = trans.inverseTransformPoint(leftTop); - - this.setLocation(vLeftTop.x, vLeftTop.y); -}; - -LNode.prototype.getLeft = function () { - return this.rect.x; -}; - -LNode.prototype.getRight = function () { - return this.rect.x + this.rect.width; -}; - -LNode.prototype.getTop = function () { - return this.rect.y; -}; - -LNode.prototype.getBottom = function () { - return this.rect.y + this.rect.height; -}; - -LNode.prototype.getParent = function () { - if (this.owner == null) { - return null; - } - - return this.owner.getParent(); -}; - -module.exports = LNode; - -/***/ }), -/* 4 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function PointD(x, y) { - if (x == null && y == null) { - this.x = 0; - this.y = 0; - } else { - this.x = x; - this.y = y; - } -} - -PointD.prototype.getX = function () { - return this.x; -}; - -PointD.prototype.getY = function () { - return this.y; -}; - -PointD.prototype.setX = function (x) { - this.x = x; -}; - -PointD.prototype.setY = function (y) { - this.y = y; -}; - -PointD.prototype.getDifference = function (pt) { - return new DimensionD(this.x - pt.x, this.y - pt.y); -}; - -PointD.prototype.getCopy = function () { - return new PointD(this.x, this.y); -}; - -PointD.prototype.translate = function (dim) { - this.x += dim.width; - this.y += dim.height; - return this; -}; - -module.exports = PointD; - -/***/ }), -/* 5 */ -/***/ (function(module, exports, __nested_webpack_require_17549__) { - -"use strict"; - - -var LGraphObject = __nested_webpack_require_17549__(2); -var Integer = __nested_webpack_require_17549__(10); -var LayoutConstants = __nested_webpack_require_17549__(0); -var LGraphManager = __nested_webpack_require_17549__(6); -var LNode = __nested_webpack_require_17549__(3); -var LEdge = __nested_webpack_require_17549__(1); -var RectangleD = __nested_webpack_require_17549__(13); -var Point = __nested_webpack_require_17549__(12); -var LinkedList = __nested_webpack_require_17549__(11); - -function LGraph(parent, obj2, vGraph) { - LGraphObject.call(this, vGraph); - this.estimatedSize = Integer.MIN_VALUE; - this.margin = LayoutConstants.DEFAULT_GRAPH_MARGIN; - this.edges = []; - this.nodes = []; - this.isConnected = false; - this.parent = parent; - - if (obj2 != null && obj2 instanceof LGraphManager) { - this.graphManager = obj2; - } else if (obj2 != null && obj2 instanceof Layout) { - this.graphManager = obj2.graphManager; - } -} - -LGraph.prototype = Object.create(LGraphObject.prototype); -for (var prop in LGraphObject) { - LGraph[prop] = LGraphObject[prop]; -} - -LGraph.prototype.getNodes = function () { - return this.nodes; -}; - -LGraph.prototype.getEdges = function () { - return this.edges; -}; - -LGraph.prototype.getGraphManager = function () { - return this.graphManager; -}; - -LGraph.prototype.getParent = function () { - return this.parent; -}; - -LGraph.prototype.getLeft = function () { - return this.left; -}; - -LGraph.prototype.getRight = function () { - return this.right; -}; - -LGraph.prototype.getTop = function () { - return this.top; -}; - -LGraph.prototype.getBottom = function () { - return this.bottom; -}; - -LGraph.prototype.isConnected = function () { - return this.isConnected; -}; - -LGraph.prototype.add = function (obj1, sourceNode, targetNode) { - if (sourceNode == null && targetNode == null) { - var newNode = obj1; - if (this.graphManager == null) { - throw "Graph has no graph mgr!"; - } - if (this.getNodes().indexOf(newNode) > -1) { - throw "Node already in graph!"; - } - newNode.owner = this; - this.getNodes().push(newNode); - - return newNode; - } else { - var newEdge = obj1; - if (!(this.getNodes().indexOf(sourceNode) > -1 && this.getNodes().indexOf(targetNode) > -1)) { - throw "Source or target not in graph!"; - } - - if (!(sourceNode.owner == targetNode.owner && sourceNode.owner == this)) { - throw "Both owners must be this graph!"; - } - - if (sourceNode.owner != targetNode.owner) { - return null; - } - - // set source and target - newEdge.source = sourceNode; - newEdge.target = targetNode; - - // set as intra-graph edge - newEdge.isInterGraph = false; - - // add to graph edge list - this.getEdges().push(newEdge); - - // add to incidency lists - sourceNode.edges.push(newEdge); - - if (targetNode != sourceNode) { - targetNode.edges.push(newEdge); - } - - return newEdge; - } -}; - -LGraph.prototype.remove = function (obj) { - var node = obj; - if (obj instanceof LNode) { - if (node == null) { - throw "Node is null!"; - } - if (!(node.owner != null && node.owner == this)) { - throw "Owner graph is invalid!"; - } - if (this.graphManager == null) { - throw "Owner graph manager is invalid!"; - } - // remove incident edges first (make a copy to do it safely) - var edgesToBeRemoved = node.edges.slice(); - var edge; - var s = edgesToBeRemoved.length; - for (var i = 0; i < s; i++) { - edge = edgesToBeRemoved[i]; - - if (edge.isInterGraph) { - this.graphManager.remove(edge); - } else { - edge.source.owner.remove(edge); - } - } - - // now the node itself - var index = this.nodes.indexOf(node); - if (index == -1) { - throw "Node not in owner node list!"; - } - - this.nodes.splice(index, 1); - } else if (obj instanceof LEdge) { - var edge = obj; - if (edge == null) { - throw "Edge is null!"; - } - if (!(edge.source != null && edge.target != null)) { - throw "Source and/or target is null!"; - } - if (!(edge.source.owner != null && edge.target.owner != null && edge.source.owner == this && edge.target.owner == this)) { - throw "Source and/or target owner is invalid!"; - } - - var sourceIndex = edge.source.edges.indexOf(edge); - var targetIndex = edge.target.edges.indexOf(edge); - if (!(sourceIndex > -1 && targetIndex > -1)) { - throw "Source and/or target doesn't know this edge!"; - } - - edge.source.edges.splice(sourceIndex, 1); - - if (edge.target != edge.source) { - edge.target.edges.splice(targetIndex, 1); - } - - var index = edge.source.owner.getEdges().indexOf(edge); - if (index == -1) { - throw "Not in owner's edge list!"; - } - - edge.source.owner.getEdges().splice(index, 1); - } -}; - -LGraph.prototype.updateLeftTop = function () { - var top = Integer.MAX_VALUE; - var left = Integer.MAX_VALUE; - var nodeTop; - var nodeLeft; - var margin; - - var nodes = this.getNodes(); - var s = nodes.length; - - for (var i = 0; i < s; i++) { - var lNode = nodes[i]; - nodeTop = lNode.getTop(); - nodeLeft = lNode.getLeft(); - - if (top > nodeTop) { - top = nodeTop; - } - - if (left > nodeLeft) { - left = nodeLeft; - } - } - - // Do we have any nodes in this graph? - if (top == Integer.MAX_VALUE) { - return null; - } - - if (nodes[0].getParent().paddingLeft != undefined) { - margin = nodes[0].getParent().paddingLeft; - } else { - margin = this.margin; - } - - this.left = left - margin; - this.top = top - margin; - - // Apply the margins and return the result - return new Point(this.left, this.top); -}; - -LGraph.prototype.updateBounds = function (recursive) { - // calculate bounds - var left = Integer.MAX_VALUE; - var right = -Integer.MAX_VALUE; - var top = Integer.MAX_VALUE; - var bottom = -Integer.MAX_VALUE; - var nodeLeft; - var nodeRight; - var nodeTop; - var nodeBottom; - var margin; - - var nodes = this.nodes; - var s = nodes.length; - for (var i = 0; i < s; i++) { - var lNode = nodes[i]; - - if (recursive && lNode.child != null) { - lNode.updateBounds(); - } - nodeLeft = lNode.getLeft(); - nodeRight = lNode.getRight(); - nodeTop = lNode.getTop(); - nodeBottom = lNode.getBottom(); - - if (left > nodeLeft) { - left = nodeLeft; - } - - if (right < nodeRight) { - right = nodeRight; - } - - if (top > nodeTop) { - top = nodeTop; - } - - if (bottom < nodeBottom) { - bottom = nodeBottom; - } - } - - var boundingRect = new RectangleD(left, top, right - left, bottom - top); - if (left == Integer.MAX_VALUE) { - this.left = this.parent.getLeft(); - this.right = this.parent.getRight(); - this.top = this.parent.getTop(); - this.bottom = this.parent.getBottom(); - } - - if (nodes[0].getParent().paddingLeft != undefined) { - margin = nodes[0].getParent().paddingLeft; - } else { - margin = this.margin; - } - - this.left = boundingRect.x - margin; - this.right = boundingRect.x + boundingRect.width + margin; - this.top = boundingRect.y - margin; - this.bottom = boundingRect.y + boundingRect.height + margin; -}; - -LGraph.calculateBounds = function (nodes) { - var left = Integer.MAX_VALUE; - var right = -Integer.MAX_VALUE; - var top = Integer.MAX_VALUE; - var bottom = -Integer.MAX_VALUE; - var nodeLeft; - var nodeRight; - var nodeTop; - var nodeBottom; - - var s = nodes.length; - - for (var i = 0; i < s; i++) { - var lNode = nodes[i]; - nodeLeft = lNode.getLeft(); - nodeRight = lNode.getRight(); - nodeTop = lNode.getTop(); - nodeBottom = lNode.getBottom(); - - if (left > nodeLeft) { - left = nodeLeft; - } - - if (right < nodeRight) { - right = nodeRight; - } - - if (top > nodeTop) { - top = nodeTop; - } - - if (bottom < nodeBottom) { - bottom = nodeBottom; - } - } - - var boundingRect = new RectangleD(left, top, right - left, bottom - top); - - return boundingRect; -}; - -LGraph.prototype.getInclusionTreeDepth = function () { - if (this == this.graphManager.getRoot()) { - return 1; - } else { - return this.parent.getInclusionTreeDepth(); - } -}; - -LGraph.prototype.getEstimatedSize = function () { - if (this.estimatedSize == Integer.MIN_VALUE) { - throw "assert failed"; - } - return this.estimatedSize; -}; - -LGraph.prototype.calcEstimatedSize = function () { - var size = 0; - var nodes = this.nodes; - var s = nodes.length; - - for (var i = 0; i < s; i++) { - var lNode = nodes[i]; - size += lNode.calcEstimatedSize(); - } - - if (size == 0) { - this.estimatedSize = LayoutConstants.EMPTY_COMPOUND_NODE_SIZE; - } else { - this.estimatedSize = size / Math.sqrt(this.nodes.length); - } - - return this.estimatedSize; -}; - -LGraph.prototype.updateConnected = function () { - var self = this; - if (this.nodes.length == 0) { - this.isConnected = true; - return; - } - - var queue = new LinkedList(); - var visited = new Set(); - var currentNode = this.nodes[0]; - var neighborEdges; - var currentNeighbor; - var childrenOfNode = currentNode.withChildren(); - childrenOfNode.forEach(function (node) { - queue.push(node); - visited.add(node); - }); - - while (queue.length !== 0) { - currentNode = queue.shift(); - - // Traverse all neighbors of this node - neighborEdges = currentNode.getEdges(); - var size = neighborEdges.length; - for (var i = 0; i < size; i++) { - var neighborEdge = neighborEdges[i]; - currentNeighbor = neighborEdge.getOtherEndInGraph(currentNode, this); - - // Add unvisited neighbors to the list to visit - if (currentNeighbor != null && !visited.has(currentNeighbor)) { - var childrenOfNeighbor = currentNeighbor.withChildren(); - - childrenOfNeighbor.forEach(function (node) { - queue.push(node); - visited.add(node); - }); - } - } - } - - this.isConnected = false; - - if (visited.size >= this.nodes.length) { - var noOfVisitedInThisGraph = 0; - - visited.forEach(function (visitedNode) { - if (visitedNode.owner == self) { - noOfVisitedInThisGraph++; - } - }); - - if (noOfVisitedInThisGraph == this.nodes.length) { - this.isConnected = true; - } - } -}; - -module.exports = LGraph; - -/***/ }), -/* 6 */ -/***/ (function(module, exports, __nested_webpack_require_27617__) { - -"use strict"; - - -var LGraph; -var LEdge = __nested_webpack_require_27617__(1); - -function LGraphManager(layout) { - LGraph = __nested_webpack_require_27617__(5); // It may be better to initilize this out of this function but it gives an error (Right-hand side of 'instanceof' is not callable) now. - this.layout = layout; - - this.graphs = []; - this.edges = []; -} - -LGraphManager.prototype.addRoot = function () { - var ngraph = this.layout.newGraph(); - var nnode = this.layout.newNode(null); - var root = this.add(ngraph, nnode); - this.setRootGraph(root); - return this.rootGraph; -}; - -LGraphManager.prototype.add = function (newGraph, parentNode, newEdge, sourceNode, targetNode) { - //there are just 2 parameters are passed then it adds an LGraph else it adds an LEdge - if (newEdge == null && sourceNode == null && targetNode == null) { - if (newGraph == null) { - throw "Graph is null!"; - } - if (parentNode == null) { - throw "Parent node is null!"; - } - if (this.graphs.indexOf(newGraph) > -1) { - throw "Graph already in this graph mgr!"; - } - - this.graphs.push(newGraph); - - if (newGraph.parent != null) { - throw "Already has a parent!"; - } - if (parentNode.child != null) { - throw "Already has a child!"; - } - - newGraph.parent = parentNode; - parentNode.child = newGraph; - - return newGraph; - } else { - //change the order of the parameters - targetNode = newEdge; - sourceNode = parentNode; - newEdge = newGraph; - var sourceGraph = sourceNode.getOwner(); - var targetGraph = targetNode.getOwner(); - - if (!(sourceGraph != null && sourceGraph.getGraphManager() == this)) { - throw "Source not in this graph mgr!"; - } - if (!(targetGraph != null && targetGraph.getGraphManager() == this)) { - throw "Target not in this graph mgr!"; - } - - if (sourceGraph == targetGraph) { - newEdge.isInterGraph = false; - return sourceGraph.add(newEdge, sourceNode, targetNode); - } else { - newEdge.isInterGraph = true; - - // set source and target - newEdge.source = sourceNode; - newEdge.target = targetNode; - - // add edge to inter-graph edge list - if (this.edges.indexOf(newEdge) > -1) { - throw "Edge already in inter-graph edge list!"; - } - - this.edges.push(newEdge); - - // add edge to source and target incidency lists - if (!(newEdge.source != null && newEdge.target != null)) { - throw "Edge source and/or target is null!"; - } - - if (!(newEdge.source.edges.indexOf(newEdge) == -1 && newEdge.target.edges.indexOf(newEdge) == -1)) { - throw "Edge already in source and/or target incidency list!"; - } - - newEdge.source.edges.push(newEdge); - newEdge.target.edges.push(newEdge); - - return newEdge; - } - } -}; - -LGraphManager.prototype.remove = function (lObj) { - if (lObj instanceof LGraph) { - var graph = lObj; - if (graph.getGraphManager() != this) { - throw "Graph not in this graph mgr"; - } - if (!(graph == this.rootGraph || graph.parent != null && graph.parent.graphManager == this)) { - throw "Invalid parent node!"; - } - - // first the edges (make a copy to do it safely) - var edgesToBeRemoved = []; - - edgesToBeRemoved = edgesToBeRemoved.concat(graph.getEdges()); - - var edge; - var s = edgesToBeRemoved.length; - for (var i = 0; i < s; i++) { - edge = edgesToBeRemoved[i]; - graph.remove(edge); - } - - // then the nodes (make a copy to do it safely) - var nodesToBeRemoved = []; - - nodesToBeRemoved = nodesToBeRemoved.concat(graph.getNodes()); - - var node; - s = nodesToBeRemoved.length; - for (var i = 0; i < s; i++) { - node = nodesToBeRemoved[i]; - graph.remove(node); - } - - // check if graph is the root - if (graph == this.rootGraph) { - this.setRootGraph(null); - } - - // now remove the graph itself - var index = this.graphs.indexOf(graph); - this.graphs.splice(index, 1); - - // also reset the parent of the graph - graph.parent = null; - } else if (lObj instanceof LEdge) { - edge = lObj; - if (edge == null) { - throw "Edge is null!"; - } - if (!edge.isInterGraph) { - throw "Not an inter-graph edge!"; - } - if (!(edge.source != null && edge.target != null)) { - throw "Source and/or target is null!"; - } - - // remove edge from source and target nodes' incidency lists - - if (!(edge.source.edges.indexOf(edge) != -1 && edge.target.edges.indexOf(edge) != -1)) { - throw "Source and/or target doesn't know this edge!"; - } - - var index = edge.source.edges.indexOf(edge); - edge.source.edges.splice(index, 1); - index = edge.target.edges.indexOf(edge); - edge.target.edges.splice(index, 1); - - // remove edge from owner graph manager's inter-graph edge list - - if (!(edge.source.owner != null && edge.source.owner.getGraphManager() != null)) { - throw "Edge owner graph or owner graph manager is null!"; - } - if (edge.source.owner.getGraphManager().edges.indexOf(edge) == -1) { - throw "Not in owner graph manager's edge list!"; - } - - var index = edge.source.owner.getGraphManager().edges.indexOf(edge); - edge.source.owner.getGraphManager().edges.splice(index, 1); - } -}; - -LGraphManager.prototype.updateBounds = function () { - this.rootGraph.updateBounds(true); -}; - -LGraphManager.prototype.getGraphs = function () { - return this.graphs; -}; - -LGraphManager.prototype.getAllNodes = function () { - if (this.allNodes == null) { - var nodeList = []; - var graphs = this.getGraphs(); - var s = graphs.length; - for (var i = 0; i < s; i++) { - nodeList = nodeList.concat(graphs[i].getNodes()); - } - this.allNodes = nodeList; - } - return this.allNodes; -}; - -LGraphManager.prototype.resetAllNodes = function () { - this.allNodes = null; -}; - -LGraphManager.prototype.resetAllEdges = function () { - this.allEdges = null; -}; - -LGraphManager.prototype.resetAllNodesToApplyGravitation = function () { - this.allNodesToApplyGravitation = null; -}; - -LGraphManager.prototype.getAllEdges = function () { - if (this.allEdges == null) { - var edgeList = []; - var graphs = this.getGraphs(); - var s = graphs.length; - for (var i = 0; i < graphs.length; i++) { - edgeList = edgeList.concat(graphs[i].getEdges()); - } - - edgeList = edgeList.concat(this.edges); - - this.allEdges = edgeList; - } - return this.allEdges; -}; - -LGraphManager.prototype.getAllNodesToApplyGravitation = function () { - return this.allNodesToApplyGravitation; -}; - -LGraphManager.prototype.setAllNodesToApplyGravitation = function (nodeList) { - if (this.allNodesToApplyGravitation != null) { - throw "assert failed"; - } - - this.allNodesToApplyGravitation = nodeList; -}; - -LGraphManager.prototype.getRoot = function () { - return this.rootGraph; -}; - -LGraphManager.prototype.setRootGraph = function (graph) { - if (graph.getGraphManager() != this) { - throw "Root not in this graph mgr!"; - } - - this.rootGraph = graph; - // root graph must have a root node associated with it for convenience - if (graph.parent == null) { - graph.parent = this.layout.newNode("Root node"); - } -}; - -LGraphManager.prototype.getLayout = function () { - return this.layout; -}; - -LGraphManager.prototype.isOneAncestorOfOther = function (firstNode, secondNode) { - if (!(firstNode != null && secondNode != null)) { - throw "assert failed"; - } - - if (firstNode == secondNode) { - return true; - } - // Is second node an ancestor of the first one? - var ownerGraph = firstNode.getOwner(); - var parentNode; - - do { - parentNode = ownerGraph.getParent(); - - if (parentNode == null) { - break; - } - - if (parentNode == secondNode) { - return true; - } - - ownerGraph = parentNode.getOwner(); - if (ownerGraph == null) { - break; - } - } while (true); - // Is first node an ancestor of the second one? - ownerGraph = secondNode.getOwner(); - - do { - parentNode = ownerGraph.getParent(); - - if (parentNode == null) { - break; - } - - if (parentNode == firstNode) { - return true; - } - - ownerGraph = parentNode.getOwner(); - if (ownerGraph == null) { - break; - } - } while (true); - - return false; -}; - -LGraphManager.prototype.calcLowestCommonAncestors = function () { - var edge; - var sourceNode; - var targetNode; - var sourceAncestorGraph; - var targetAncestorGraph; - - var edges = this.getAllEdges(); - var s = edges.length; - for (var i = 0; i < s; i++) { - edge = edges[i]; - - sourceNode = edge.source; - targetNode = edge.target; - edge.lca = null; - edge.sourceInLca = sourceNode; - edge.targetInLca = targetNode; - - if (sourceNode == targetNode) { - edge.lca = sourceNode.getOwner(); - continue; - } - - sourceAncestorGraph = sourceNode.getOwner(); - - while (edge.lca == null) { - edge.targetInLca = targetNode; - targetAncestorGraph = targetNode.getOwner(); - - while (edge.lca == null) { - if (targetAncestorGraph == sourceAncestorGraph) { - edge.lca = targetAncestorGraph; - break; - } - - if (targetAncestorGraph == this.rootGraph) { - break; - } - - if (edge.lca != null) { - throw "assert failed"; - } - edge.targetInLca = targetAncestorGraph.getParent(); - targetAncestorGraph = edge.targetInLca.getOwner(); - } - - if (sourceAncestorGraph == this.rootGraph) { - break; - } - - if (edge.lca == null) { - edge.sourceInLca = sourceAncestorGraph.getParent(); - sourceAncestorGraph = edge.sourceInLca.getOwner(); - } - } - - if (edge.lca == null) { - throw "assert failed"; - } - } -}; - -LGraphManager.prototype.calcLowestCommonAncestor = function (firstNode, secondNode) { - if (firstNode == secondNode) { - return firstNode.getOwner(); - } - var firstOwnerGraph = firstNode.getOwner(); - - do { - if (firstOwnerGraph == null) { - break; - } - var secondOwnerGraph = secondNode.getOwner(); - - do { - if (secondOwnerGraph == null) { - break; - } - - if (secondOwnerGraph == firstOwnerGraph) { - return secondOwnerGraph; - } - secondOwnerGraph = secondOwnerGraph.getParent().getOwner(); - } while (true); - - firstOwnerGraph = firstOwnerGraph.getParent().getOwner(); - } while (true); - - return firstOwnerGraph; -}; - -LGraphManager.prototype.calcInclusionTreeDepths = function (graph, depth) { - if (graph == null && depth == null) { - graph = this.rootGraph; - depth = 1; - } - var node; - - var nodes = graph.getNodes(); - var s = nodes.length; - for (var i = 0; i < s; i++) { - node = nodes[i]; - node.inclusionTreeDepth = depth; - - if (node.child != null) { - this.calcInclusionTreeDepths(node.child, depth + 1); - } - } -}; - -LGraphManager.prototype.includesInvalidEdge = function () { - var edge; - - var s = this.edges.length; - for (var i = 0; i < s; i++) { - edge = this.edges[i]; - - if (this.isOneAncestorOfOther(edge.source, edge.target)) { - return true; - } - } - return false; -}; - -module.exports = LGraphManager; - -/***/ }), -/* 7 */ -/***/ (function(module, exports, __nested_webpack_require_38707__) { - -"use strict"; - - -var LayoutConstants = __nested_webpack_require_38707__(0); - -function FDLayoutConstants() {} - -//FDLayoutConstants inherits static props in LayoutConstants -for (var prop in LayoutConstants) { - FDLayoutConstants[prop] = LayoutConstants[prop]; -} - -FDLayoutConstants.MAX_ITERATIONS = 2500; - -FDLayoutConstants.DEFAULT_EDGE_LENGTH = 50; -FDLayoutConstants.DEFAULT_SPRING_STRENGTH = 0.45; -FDLayoutConstants.DEFAULT_REPULSION_STRENGTH = 4500.0; -FDLayoutConstants.DEFAULT_GRAVITY_STRENGTH = 0.4; -FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH = 1.0; -FDLayoutConstants.DEFAULT_GRAVITY_RANGE_FACTOR = 3.8; -FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR = 1.5; -FDLayoutConstants.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION = true; -FDLayoutConstants.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION = true; -FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL = 0.3; -FDLayoutConstants.COOLING_ADAPTATION_FACTOR = 0.33; -FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT = 1000; -FDLayoutConstants.ADAPTATION_UPPER_NODE_LIMIT = 5000; -FDLayoutConstants.MAX_NODE_DISPLACEMENT_INCREMENTAL = 100.0; -FDLayoutConstants.MAX_NODE_DISPLACEMENT = FDLayoutConstants.MAX_NODE_DISPLACEMENT_INCREMENTAL * 3; -FDLayoutConstants.MIN_REPULSION_DIST = FDLayoutConstants.DEFAULT_EDGE_LENGTH / 10.0; -FDLayoutConstants.CONVERGENCE_CHECK_PERIOD = 100; -FDLayoutConstants.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR = 0.1; -FDLayoutConstants.MIN_EDGE_LENGTH = 1; -FDLayoutConstants.GRID_CALCULATION_CHECK_PERIOD = 10; - -module.exports = FDLayoutConstants; - -/***/ }), -/* 8 */ -/***/ (function(module, exports, __nested_webpack_require_40298__) { - -"use strict"; - - -/** - * This class maintains a list of static geometry related utility methods. - * - * - * Copyright: i-Vis Research Group, Bilkent University, 2007 - present - */ - -var Point = __nested_webpack_require_40298__(12); - -function IGeometry() {} - -/** - * This method calculates *half* the amount in x and y directions of the two - * input rectangles needed to separate them keeping their respective - * positioning, and returns the result in the input array. An input - * separation buffer added to the amount in both directions. We assume that - * the two rectangles do intersect. - */ -IGeometry.calcSeparationAmount = function (rectA, rectB, overlapAmount, separationBuffer) { - if (!rectA.intersects(rectB)) { - throw "assert failed"; - } - - var directions = new Array(2); - - this.decideDirectionsForOverlappingNodes(rectA, rectB, directions); - - overlapAmount[0] = Math.min(rectA.getRight(), rectB.getRight()) - Math.max(rectA.x, rectB.x); - overlapAmount[1] = Math.min(rectA.getBottom(), rectB.getBottom()) - Math.max(rectA.y, rectB.y); - - // update the overlapping amounts for the following cases: - if (rectA.getX() <= rectB.getX() && rectA.getRight() >= rectB.getRight()) { - /* Case x.1: - * - * rectA - * | | - * | _________ | - * | | | | - * |________|_______|______| - * | | - * | | - * rectB - */ - overlapAmount[0] += Math.min(rectB.getX() - rectA.getX(), rectA.getRight() - rectB.getRight()); - } else if (rectB.getX() <= rectA.getX() && rectB.getRight() >= rectA.getRight()) { - /* Case x.2: - * - * rectB - * | | - * | _________ | - * | | | | - * |________|_______|______| - * | | - * | | - * rectA - */ - overlapAmount[0] += Math.min(rectA.getX() - rectB.getX(), rectB.getRight() - rectA.getRight()); - } - if (rectA.getY() <= rectB.getY() && rectA.getBottom() >= rectB.getBottom()) { - /* Case y.1: - * ________ rectA - * | - * | - * ______|____ rectB - * | | - * | | - * ______|____| - * | - * | - * |________ - * - */ - overlapAmount[1] += Math.min(rectB.getY() - rectA.getY(), rectA.getBottom() - rectB.getBottom()); - } else if (rectB.getY() <= rectA.getY() && rectB.getBottom() >= rectA.getBottom()) { - /* Case y.2: - * ________ rectB - * | - * | - * ______|____ rectA - * | | - * | | - * ______|____| - * | - * | - * |________ - * - */ - overlapAmount[1] += Math.min(rectA.getY() - rectB.getY(), rectB.getBottom() - rectA.getBottom()); - } - - // find slope of the line passes two centers - var slope = Math.abs((rectB.getCenterY() - rectA.getCenterY()) / (rectB.getCenterX() - rectA.getCenterX())); - // if centers are overlapped - if (rectB.getCenterY() === rectA.getCenterY() && rectB.getCenterX() === rectA.getCenterX()) { - // assume the slope is 1 (45 degree) - slope = 1.0; - } - - var moveByY = slope * overlapAmount[0]; - var moveByX = overlapAmount[1] / slope; - if (overlapAmount[0] < moveByX) { - moveByX = overlapAmount[0]; - } else { - moveByY = overlapAmount[1]; - } - // return half the amount so that if each rectangle is moved by these - // amounts in opposite directions, overlap will be resolved - overlapAmount[0] = -1 * directions[0] * (moveByX / 2 + separationBuffer); - overlapAmount[1] = -1 * directions[1] * (moveByY / 2 + separationBuffer); -}; - -/** - * This method decides the separation direction of overlapping nodes - * - * if directions[0] = -1, then rectA goes left - * if directions[0] = 1, then rectA goes right - * if directions[1] = -1, then rectA goes up - * if directions[1] = 1, then rectA goes down - */ -IGeometry.decideDirectionsForOverlappingNodes = function (rectA, rectB, directions) { - if (rectA.getCenterX() < rectB.getCenterX()) { - directions[0] = -1; - } else { - directions[0] = 1; - } - - if (rectA.getCenterY() < rectB.getCenterY()) { - directions[1] = -1; - } else { - directions[1] = 1; - } -}; - -/** - * This method calculates the intersection (clipping) points of the two - * input rectangles with line segment defined by the centers of these two - * rectangles. The clipping points are saved in the input double array and - * whether or not the two rectangles overlap is returned. - */ -IGeometry.getIntersection2 = function (rectA, rectB, result) { - //result[0-1] will contain clipPoint of rectA, result[2-3] will contain clipPoint of rectB - var p1x = rectA.getCenterX(); - var p1y = rectA.getCenterY(); - var p2x = rectB.getCenterX(); - var p2y = rectB.getCenterY(); - - //if two rectangles intersect, then clipping points are centers - if (rectA.intersects(rectB)) { - result[0] = p1x; - result[1] = p1y; - result[2] = p2x; - result[3] = p2y; - return true; - } - //variables for rectA - var topLeftAx = rectA.getX(); - var topLeftAy = rectA.getY(); - var topRightAx = rectA.getRight(); - var bottomLeftAx = rectA.getX(); - var bottomLeftAy = rectA.getBottom(); - var bottomRightAx = rectA.getRight(); - var halfWidthA = rectA.getWidthHalf(); - var halfHeightA = rectA.getHeightHalf(); - //variables for rectB - var topLeftBx = rectB.getX(); - var topLeftBy = rectB.getY(); - var topRightBx = rectB.getRight(); - var bottomLeftBx = rectB.getX(); - var bottomLeftBy = rectB.getBottom(); - var bottomRightBx = rectB.getRight(); - var halfWidthB = rectB.getWidthHalf(); - var halfHeightB = rectB.getHeightHalf(); - - //flag whether clipping points are found - var clipPointAFound = false; - var clipPointBFound = false; - - // line is vertical - if (p1x === p2x) { - if (p1y > p2y) { - result[0] = p1x; - result[1] = topLeftAy; - result[2] = p2x; - result[3] = bottomLeftBy; - return false; - } else if (p1y < p2y) { - result[0] = p1x; - result[1] = bottomLeftAy; - result[2] = p2x; - result[3] = topLeftBy; - return false; - } else { - //not line, return null; - } - } - // line is horizontal - else if (p1y === p2y) { - if (p1x > p2x) { - result[0] = topLeftAx; - result[1] = p1y; - result[2] = topRightBx; - result[3] = p2y; - return false; - } else if (p1x < p2x) { - result[0] = topRightAx; - result[1] = p1y; - result[2] = topLeftBx; - result[3] = p2y; - return false; - } else { - //not valid line, return null; - } - } else { - //slopes of rectA's and rectB's diagonals - var slopeA = rectA.height / rectA.width; - var slopeB = rectB.height / rectB.width; - - //slope of line between center of rectA and center of rectB - var slopePrime = (p2y - p1y) / (p2x - p1x); - var cardinalDirectionA = void 0; - var cardinalDirectionB = void 0; - var tempPointAx = void 0; - var tempPointAy = void 0; - var tempPointBx = void 0; - var tempPointBy = void 0; - - //determine whether clipping point is the corner of nodeA - if (-slopeA === slopePrime) { - if (p1x > p2x) { - result[0] = bottomLeftAx; - result[1] = bottomLeftAy; - clipPointAFound = true; - } else { - result[0] = topRightAx; - result[1] = topLeftAy; - clipPointAFound = true; - } - } else if (slopeA === slopePrime) { - if (p1x > p2x) { - result[0] = topLeftAx; - result[1] = topLeftAy; - clipPointAFound = true; - } else { - result[0] = bottomRightAx; - result[1] = bottomLeftAy; - clipPointAFound = true; - } - } - - //determine whether clipping point is the corner of nodeB - if (-slopeB === slopePrime) { - if (p2x > p1x) { - result[2] = bottomLeftBx; - result[3] = bottomLeftBy; - clipPointBFound = true; - } else { - result[2] = topRightBx; - result[3] = topLeftBy; - clipPointBFound = true; - } - } else if (slopeB === slopePrime) { - if (p2x > p1x) { - result[2] = topLeftBx; - result[3] = topLeftBy; - clipPointBFound = true; - } else { - result[2] = bottomRightBx; - result[3] = bottomLeftBy; - clipPointBFound = true; - } - } - - //if both clipping points are corners - if (clipPointAFound && clipPointBFound) { - return false; - } - - //determine Cardinal Direction of rectangles - if (p1x > p2x) { - if (p1y > p2y) { - cardinalDirectionA = this.getCardinalDirection(slopeA, slopePrime, 4); - cardinalDirectionB = this.getCardinalDirection(slopeB, slopePrime, 2); - } else { - cardinalDirectionA = this.getCardinalDirection(-slopeA, slopePrime, 3); - cardinalDirectionB = this.getCardinalDirection(-slopeB, slopePrime, 1); - } - } else { - if (p1y > p2y) { - cardinalDirectionA = this.getCardinalDirection(-slopeA, slopePrime, 1); - cardinalDirectionB = this.getCardinalDirection(-slopeB, slopePrime, 3); - } else { - cardinalDirectionA = this.getCardinalDirection(slopeA, slopePrime, 2); - cardinalDirectionB = this.getCardinalDirection(slopeB, slopePrime, 4); - } - } - //calculate clipping Point if it is not found before - if (!clipPointAFound) { - switch (cardinalDirectionA) { - case 1: - tempPointAy = topLeftAy; - tempPointAx = p1x + -halfHeightA / slopePrime; - result[0] = tempPointAx; - result[1] = tempPointAy; - break; - case 2: - tempPointAx = bottomRightAx; - tempPointAy = p1y + halfWidthA * slopePrime; - result[0] = tempPointAx; - result[1] = tempPointAy; - break; - case 3: - tempPointAy = bottomLeftAy; - tempPointAx = p1x + halfHeightA / slopePrime; - result[0] = tempPointAx; - result[1] = tempPointAy; - break; - case 4: - tempPointAx = bottomLeftAx; - tempPointAy = p1y + -halfWidthA * slopePrime; - result[0] = tempPointAx; - result[1] = tempPointAy; - break; - } - } - if (!clipPointBFound) { - switch (cardinalDirectionB) { - case 1: - tempPointBy = topLeftBy; - tempPointBx = p2x + -halfHeightB / slopePrime; - result[2] = tempPointBx; - result[3] = tempPointBy; - break; - case 2: - tempPointBx = bottomRightBx; - tempPointBy = p2y + halfWidthB * slopePrime; - result[2] = tempPointBx; - result[3] = tempPointBy; - break; - case 3: - tempPointBy = bottomLeftBy; - tempPointBx = p2x + halfHeightB / slopePrime; - result[2] = tempPointBx; - result[3] = tempPointBy; - break; - case 4: - tempPointBx = bottomLeftBx; - tempPointBy = p2y + -halfWidthB * slopePrime; - result[2] = tempPointBx; - result[3] = tempPointBy; - break; - } - } - } - return false; -}; - -/** - * This method returns in which cardinal direction does input point stays - * 1: North - * 2: East - * 3: South - * 4: West - */ -IGeometry.getCardinalDirection = function (slope, slopePrime, line) { - if (slope > slopePrime) { - return line; - } else { - return 1 + line % 4; - } -}; - -/** - * This method calculates the intersection of the two lines defined by - * point pairs (s1,s2) and (f1,f2). - */ -IGeometry.getIntersection = function (s1, s2, f1, f2) { - if (f2 == null) { - return this.getIntersection2(s1, s2, f1); - } - - var x1 = s1.x; - var y1 = s1.y; - var x2 = s2.x; - var y2 = s2.y; - var x3 = f1.x; - var y3 = f1.y; - var x4 = f2.x; - var y4 = f2.y; - var x = void 0, - y = void 0; // intersection point - var a1 = void 0, - a2 = void 0, - b1 = void 0, - b2 = void 0, - c1 = void 0, - c2 = void 0; // coefficients of line eqns. - var denom = void 0; - - a1 = y2 - y1; - b1 = x1 - x2; - c1 = x2 * y1 - x1 * y2; // { a1*x + b1*y + c1 = 0 is line 1 } - - a2 = y4 - y3; - b2 = x3 - x4; - c2 = x4 * y3 - x3 * y4; // { a2*x + b2*y + c2 = 0 is line 2 } - - denom = a1 * b2 - a2 * b1; - - if (denom === 0) { - return null; - } - - x = (b1 * c2 - b2 * c1) / denom; - y = (a2 * c1 - a1 * c2) / denom; - - return new Point(x, y); -}; - -/** - * This method finds and returns the angle of the vector from the + x-axis - * in clockwise direction (compatible w/ Java coordinate system!). - */ -IGeometry.angleOfVector = function (Cx, Cy, Nx, Ny) { - var C_angle = void 0; - - if (Cx !== Nx) { - C_angle = Math.atan((Ny - Cy) / (Nx - Cx)); - - if (Nx < Cx) { - C_angle += Math.PI; - } else if (Ny < Cy) { - C_angle += this.TWO_PI; - } - } else if (Ny < Cy) { - C_angle = this.ONE_AND_HALF_PI; // 270 degrees - } else { - C_angle = this.HALF_PI; // 90 degrees - } - - return C_angle; -}; - -/** - * This method checks whether the given two line segments (one with point - * p1 and p2, the other with point p3 and p4) intersect at a point other - * than these points. - */ -IGeometry.doIntersect = function (p1, p2, p3, p4) { - var a = p1.x; - var b = p1.y; - var c = p2.x; - var d = p2.y; - var p = p3.x; - var q = p3.y; - var r = p4.x; - var s = p4.y; - var det = (c - a) * (s - q) - (r - p) * (d - b); - - if (det === 0) { - return false; - } else { - var lambda = ((s - q) * (r - a) + (p - r) * (s - b)) / det; - var gamma = ((b - d) * (r - a) + (c - a) * (s - b)) / det; - return 0 < lambda && lambda < 1 && 0 < gamma && gamma < 1; - } -}; - -// ----------------------------------------------------------------------------- -// Section: Class Constants -// ----------------------------------------------------------------------------- -/** - * Some useful pre-calculated constants - */ -IGeometry.HALF_PI = 0.5 * Math.PI; -IGeometry.ONE_AND_HALF_PI = 1.5 * Math.PI; -IGeometry.TWO_PI = 2.0 * Math.PI; -IGeometry.THREE_PI = 3.0 * Math.PI; - -module.exports = IGeometry; - -/***/ }), -/* 9 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function IMath() {} - -/** - * This method returns the sign of the input value. - */ -IMath.sign = function (value) { - if (value > 0) { - return 1; - } else if (value < 0) { - return -1; - } else { - return 0; - } -}; - -IMath.floor = function (value) { - return value < 0 ? Math.ceil(value) : Math.floor(value); -}; - -IMath.ceil = function (value) { - return value < 0 ? Math.floor(value) : Math.ceil(value); -}; - -module.exports = IMath; - -/***/ }), -/* 10 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function Integer() {} - -Integer.MAX_VALUE = 2147483647; -Integer.MIN_VALUE = -2147483648; - -module.exports = Integer; - -/***/ }), -/* 11 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); - -function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } - -var nodeFrom = function nodeFrom(value) { - return { value: value, next: null, prev: null }; -}; - -var add = function add(prev, node, next, list) { - if (prev !== null) { - prev.next = node; - } else { - list.head = node; - } - - if (next !== null) { - next.prev = node; - } else { - list.tail = node; - } - - node.prev = prev; - node.next = next; - - list.length++; - - return node; -}; - -var _remove = function _remove(node, list) { - var prev = node.prev, - next = node.next; - - - if (prev !== null) { - prev.next = next; - } else { - list.head = next; - } - - if (next !== null) { - next.prev = prev; - } else { - list.tail = prev; - } - - node.prev = node.next = null; - - list.length--; - - return node; -}; - -var LinkedList = function () { - function LinkedList(vals) { - var _this = this; - - _classCallCheck(this, LinkedList); - - this.length = 0; - this.head = null; - this.tail = null; - - if (vals != null) { - vals.forEach(function (v) { - return _this.push(v); - }); - } - } - - _createClass(LinkedList, [{ - key: "size", - value: function size() { - return this.length; - } - }, { - key: "insertBefore", - value: function insertBefore(val, otherNode) { - return add(otherNode.prev, nodeFrom(val), otherNode, this); - } - }, { - key: "insertAfter", - value: function insertAfter(val, otherNode) { - return add(otherNode, nodeFrom(val), otherNode.next, this); - } - }, { - key: "insertNodeBefore", - value: function insertNodeBefore(newNode, otherNode) { - return add(otherNode.prev, newNode, otherNode, this); - } - }, { - key: "insertNodeAfter", - value: function insertNodeAfter(newNode, otherNode) { - return add(otherNode, newNode, otherNode.next, this); - } - }, { - key: "push", - value: function push(val) { - return add(this.tail, nodeFrom(val), null, this); - } - }, { - key: "unshift", - value: function unshift(val) { - return add(null, nodeFrom(val), this.head, this); - } - }, { - key: "remove", - value: function remove(node) { - return _remove(node, this); - } - }, { - key: "pop", - value: function pop() { - return _remove(this.tail, this).value; - } - }, { - key: "popNode", - value: function popNode() { - return _remove(this.tail, this); - } - }, { - key: "shift", - value: function shift() { - return _remove(this.head, this).value; - } - }, { - key: "shiftNode", - value: function shiftNode() { - return _remove(this.head, this); - } - }, { - key: "get_object_at", - value: function get_object_at(index) { - if (index <= this.length()) { - var i = 1; - var current = this.head; - while (i < index) { - current = current.next; - i++; - } - return current.value; - } - } - }, { - key: "set_object_at", - value: function set_object_at(index, value) { - if (index <= this.length()) { - var i = 1; - var current = this.head; - while (i < index) { - current = current.next; - i++; - } - current.value = value; - } - } - }]); - - return LinkedList; -}(); - -module.exports = LinkedList; - -/***/ }), -/* 12 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -/* - *This class is the javascript implementation of the Point.java class in jdk - */ -function Point(x, y, p) { - this.x = null; - this.y = null; - if (x == null && y == null && p == null) { - this.x = 0; - this.y = 0; - } else if (typeof x == 'number' && typeof y == 'number' && p == null) { - this.x = x; - this.y = y; - } else if (x.constructor.name == 'Point' && y == null && p == null) { - p = x; - this.x = p.x; - this.y = p.y; - } -} - -Point.prototype.getX = function () { - return this.x; -}; - -Point.prototype.getY = function () { - return this.y; -}; - -Point.prototype.getLocation = function () { - return new Point(this.x, this.y); -}; - -Point.prototype.setLocation = function (x, y, p) { - if (x.constructor.name == 'Point' && y == null && p == null) { - p = x; - this.setLocation(p.x, p.y); - } else if (typeof x == 'number' && typeof y == 'number' && p == null) { - //if both parameters are integer just move (x,y) location - if (parseInt(x) == x && parseInt(y) == y) { - this.move(x, y); - } else { - this.x = Math.floor(x + 0.5); - this.y = Math.floor(y + 0.5); - } - } -}; - -Point.prototype.move = function (x, y) { - this.x = x; - this.y = y; -}; - -Point.prototype.translate = function (dx, dy) { - this.x += dx; - this.y += dy; -}; - -Point.prototype.equals = function (obj) { - if (obj.constructor.name == "Point") { - var pt = obj; - return this.x == pt.x && this.y == pt.y; - } - return this == obj; -}; - -Point.prototype.toString = function () { - return new Point().constructor.name + "[x=" + this.x + ",y=" + this.y + "]"; -}; - -module.exports = Point; - -/***/ }), -/* 13 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function RectangleD(x, y, width, height) { - this.x = 0; - this.y = 0; - this.width = 0; - this.height = 0; - - if (x != null && y != null && width != null && height != null) { - this.x = x; - this.y = y; - this.width = width; - this.height = height; - } -} - -RectangleD.prototype.getX = function () { - return this.x; -}; - -RectangleD.prototype.setX = function (x) { - this.x = x; -}; - -RectangleD.prototype.getY = function () { - return this.y; -}; - -RectangleD.prototype.setY = function (y) { - this.y = y; -}; - -RectangleD.prototype.getWidth = function () { - return this.width; -}; - -RectangleD.prototype.setWidth = function (width) { - this.width = width; -}; - -RectangleD.prototype.getHeight = function () { - return this.height; -}; - -RectangleD.prototype.setHeight = function (height) { - this.height = height; -}; - -RectangleD.prototype.getRight = function () { - return this.x + this.width; -}; - -RectangleD.prototype.getBottom = function () { - return this.y + this.height; -}; - -RectangleD.prototype.intersects = function (a) { - if (this.getRight() < a.x) { - return false; - } - - if (this.getBottom() < a.y) { - return false; - } - - if (a.getRight() < this.x) { - return false; - } - - if (a.getBottom() < this.y) { - return false; - } - - return true; -}; - -RectangleD.prototype.getCenterX = function () { - return this.x + this.width / 2; -}; - -RectangleD.prototype.getMinX = function () { - return this.getX(); -}; - -RectangleD.prototype.getMaxX = function () { - return this.getX() + this.width; -}; - -RectangleD.prototype.getCenterY = function () { - return this.y + this.height / 2; -}; - -RectangleD.prototype.getMinY = function () { - return this.getY(); -}; - -RectangleD.prototype.getMaxY = function () { - return this.getY() + this.height; -}; - -RectangleD.prototype.getWidthHalf = function () { - return this.width / 2; -}; - -RectangleD.prototype.getHeightHalf = function () { - return this.height / 2; -}; - -module.exports = RectangleD; - -/***/ }), -/* 14 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; - -function UniqueIDGeneretor() {} - -UniqueIDGeneretor.lastID = 0; - -UniqueIDGeneretor.createID = function (obj) { - if (UniqueIDGeneretor.isPrimitive(obj)) { - return obj; - } - if (obj.uniqueID != null) { - return obj.uniqueID; - } - obj.uniqueID = UniqueIDGeneretor.getString(); - UniqueIDGeneretor.lastID++; - return obj.uniqueID; -}; - -UniqueIDGeneretor.getString = function (id) { - if (id == null) id = UniqueIDGeneretor.lastID; - return "Object#" + id + ""; -}; - -UniqueIDGeneretor.isPrimitive = function (arg) { - var type = typeof arg === "undefined" ? "undefined" : _typeof(arg); - return arg == null || type != "object" && type != "function"; -}; - -module.exports = UniqueIDGeneretor; - -/***/ }), -/* 15 */ -/***/ (function(module, exports, __nested_webpack_require_64072__) { - -"use strict"; - - -function _toConsumableArray(arr) { if (Array.isArray(arr)) { for (var i = 0, arr2 = Array(arr.length); i < arr.length; i++) { arr2[i] = arr[i]; } return arr2; } else { return Array.from(arr); } } - -var LayoutConstants = __nested_webpack_require_64072__(0); -var LGraphManager = __nested_webpack_require_64072__(6); -var LNode = __nested_webpack_require_64072__(3); -var LEdge = __nested_webpack_require_64072__(1); -var LGraph = __nested_webpack_require_64072__(5); -var PointD = __nested_webpack_require_64072__(4); -var Transform = __nested_webpack_require_64072__(17); -var Emitter = __nested_webpack_require_64072__(27); - -function Layout(isRemoteUse) { - Emitter.call(this); - - //Layout Quality: 0:draft, 1:default, 2:proof - this.layoutQuality = LayoutConstants.QUALITY; - //Whether layout should create bendpoints as needed or not - this.createBendsAsNeeded = LayoutConstants.DEFAULT_CREATE_BENDS_AS_NEEDED; - //Whether layout should be incremental or not - this.incremental = LayoutConstants.DEFAULT_INCREMENTAL; - //Whether we animate from before to after layout node positions - this.animationOnLayout = LayoutConstants.DEFAULT_ANIMATION_ON_LAYOUT; - //Whether we animate the layout process or not - this.animationDuringLayout = LayoutConstants.DEFAULT_ANIMATION_DURING_LAYOUT; - //Number iterations that should be done between two successive animations - this.animationPeriod = LayoutConstants.DEFAULT_ANIMATION_PERIOD; - /** - * Whether or not leaf nodes (non-compound nodes) are of uniform sizes. When - * they are, both spring and repulsion forces between two leaf nodes can be - * calculated without the expensive clipping point calculations, resulting - * in major speed-up. - */ - this.uniformLeafNodeSizes = LayoutConstants.DEFAULT_UNIFORM_LEAF_NODE_SIZES; - /** - * This is used for creation of bendpoints by using dummy nodes and edges. - * Maps an LEdge to its dummy bendpoint path. - */ - this.edgeToDummyNodes = new Map(); - this.graphManager = new LGraphManager(this); - this.isLayoutFinished = false; - this.isSubLayout = false; - this.isRemoteUse = false; - - if (isRemoteUse != null) { - this.isRemoteUse = isRemoteUse; - } -} - -Layout.RANDOM_SEED = 1; - -Layout.prototype = Object.create(Emitter.prototype); - -Layout.prototype.getGraphManager = function () { - return this.graphManager; -}; - -Layout.prototype.getAllNodes = function () { - return this.graphManager.getAllNodes(); -}; - -Layout.prototype.getAllEdges = function () { - return this.graphManager.getAllEdges(); -}; - -Layout.prototype.getAllNodesToApplyGravitation = function () { - return this.graphManager.getAllNodesToApplyGravitation(); -}; - -Layout.prototype.newGraphManager = function () { - var gm = new LGraphManager(this); - this.graphManager = gm; - return gm; -}; - -Layout.prototype.newGraph = function (vGraph) { - return new LGraph(null, this.graphManager, vGraph); -}; - -Layout.prototype.newNode = function (vNode) { - return new LNode(this.graphManager, vNode); -}; - -Layout.prototype.newEdge = function (vEdge) { - return new LEdge(null, null, vEdge); -}; - -Layout.prototype.checkLayoutSuccess = function () { - return this.graphManager.getRoot() == null || this.graphManager.getRoot().getNodes().length == 0 || this.graphManager.includesInvalidEdge(); -}; - -Layout.prototype.runLayout = function () { - this.isLayoutFinished = false; - - if (this.tilingPreLayout) { - this.tilingPreLayout(); - } - - this.initParameters(); - var isLayoutSuccessfull; - - if (this.checkLayoutSuccess()) { - isLayoutSuccessfull = false; - } else { - isLayoutSuccessfull = this.layout(); - } - - if (LayoutConstants.ANIMATE === 'during') { - // If this is a 'during' layout animation. Layout is not finished yet. - // We need to perform these in index.js when layout is really finished. - return false; - } - - if (isLayoutSuccessfull) { - if (!this.isSubLayout) { - this.doPostLayout(); - } - } - - if (this.tilingPostLayout) { - this.tilingPostLayout(); - } - - this.isLayoutFinished = true; - - return isLayoutSuccessfull; -}; - -/** - * This method performs the operations required after layout. - */ -Layout.prototype.doPostLayout = function () { - //assert !isSubLayout : "Should not be called on sub-layout!"; - // Propagate geometric changes to v-level objects - if (!this.incremental) { - this.transform(); - } - this.update(); -}; - -/** - * This method updates the geometry of the target graph according to - * calculated layout. - */ -Layout.prototype.update2 = function () { - // update bend points - if (this.createBendsAsNeeded) { - this.createBendpointsFromDummyNodes(); - - // reset all edges, since the topology has changed - this.graphManager.resetAllEdges(); - } - - // perform edge, node and root updates if layout is not called - // remotely - if (!this.isRemoteUse) { - // update all edges - var edge; - var allEdges = this.graphManager.getAllEdges(); - for (var i = 0; i < allEdges.length; i++) { - edge = allEdges[i]; - // this.update(edge); - } - - // recursively update nodes - var node; - var nodes = this.graphManager.getRoot().getNodes(); - for (var i = 0; i < nodes.length; i++) { - node = nodes[i]; - // this.update(node); - } - - // update root graph - this.update(this.graphManager.getRoot()); - } -}; - -Layout.prototype.update = function (obj) { - if (obj == null) { - this.update2(); - } else if (obj instanceof LNode) { - var node = obj; - if (node.getChild() != null) { - // since node is compound, recursively update child nodes - var nodes = node.getChild().getNodes(); - for (var i = 0; i < nodes.length; i++) { - update(nodes[i]); - } - } - - // if the l-level node is associated with a v-level graph object, - // then it is assumed that the v-level node implements the - // interface Updatable. - if (node.vGraphObject != null) { - // cast to Updatable without any type check - var vNode = node.vGraphObject; - - // call the update method of the interface - vNode.update(node); - } - } else if (obj instanceof LEdge) { - var edge = obj; - // if the l-level edge is associated with a v-level graph object, - // then it is assumed that the v-level edge implements the - // interface Updatable. - - if (edge.vGraphObject != null) { - // cast to Updatable without any type check - var vEdge = edge.vGraphObject; - - // call the update method of the interface - vEdge.update(edge); - } - } else if (obj instanceof LGraph) { - var graph = obj; - // if the l-level graph is associated with a v-level graph object, - // then it is assumed that the v-level object implements the - // interface Updatable. - - if (graph.vGraphObject != null) { - // cast to Updatable without any type check - var vGraph = graph.vGraphObject; - - // call the update method of the interface - vGraph.update(graph); - } - } -}; - -/** - * This method is used to set all layout parameters to default values - * determined at compile time. - */ -Layout.prototype.initParameters = function () { - if (!this.isSubLayout) { - this.layoutQuality = LayoutConstants.QUALITY; - this.animationDuringLayout = LayoutConstants.DEFAULT_ANIMATION_DURING_LAYOUT; - this.animationPeriod = LayoutConstants.DEFAULT_ANIMATION_PERIOD; - this.animationOnLayout = LayoutConstants.DEFAULT_ANIMATION_ON_LAYOUT; - this.incremental = LayoutConstants.DEFAULT_INCREMENTAL; - this.createBendsAsNeeded = LayoutConstants.DEFAULT_CREATE_BENDS_AS_NEEDED; - this.uniformLeafNodeSizes = LayoutConstants.DEFAULT_UNIFORM_LEAF_NODE_SIZES; - } - - if (this.animationDuringLayout) { - this.animationOnLayout = false; - } -}; - -Layout.prototype.transform = function (newLeftTop) { - if (newLeftTop == undefined) { - this.transform(new PointD(0, 0)); - } else { - // create a transformation object (from Eclipse to layout). When an - // inverse transform is applied, we get upper-left coordinate of the - // drawing or the root graph at given input coordinate (some margins - // already included in calculation of left-top). - - var trans = new Transform(); - var leftTop = this.graphManager.getRoot().updateLeftTop(); - - if (leftTop != null) { - trans.setWorldOrgX(newLeftTop.x); - trans.setWorldOrgY(newLeftTop.y); - - trans.setDeviceOrgX(leftTop.x); - trans.setDeviceOrgY(leftTop.y); - - var nodes = this.getAllNodes(); - var node; - - for (var i = 0; i < nodes.length; i++) { - node = nodes[i]; - node.transform(trans); - } - } - } -}; - -Layout.prototype.positionNodesRandomly = function (graph) { - - if (graph == undefined) { - //assert !this.incremental; - this.positionNodesRandomly(this.getGraphManager().getRoot()); - this.getGraphManager().getRoot().updateBounds(true); - } else { - var lNode; - var childGraph; - - var nodes = graph.getNodes(); - for (var i = 0; i < nodes.length; i++) { - lNode = nodes[i]; - childGraph = lNode.getChild(); - - if (childGraph == null) { - lNode.scatter(); - } else if (childGraph.getNodes().length == 0) { - lNode.scatter(); - } else { - this.positionNodesRandomly(childGraph); - lNode.updateBounds(); - } - } - } -}; - -/** - * This method returns a list of trees where each tree is represented as a - * list of l-nodes. The method returns a list of size 0 when: - * - The graph is not flat or - * - One of the component(s) of the graph is not a tree. - */ -Layout.prototype.getFlatForest = function () { - var flatForest = []; - var isForest = true; - - // Quick reference for all nodes in the graph manager associated with - // this layout. The list should not be changed. - var allNodes = this.graphManager.getRoot().getNodes(); - - // First be sure that the graph is flat - var isFlat = true; - - for (var i = 0; i < allNodes.length; i++) { - if (allNodes[i].getChild() != null) { - isFlat = false; - } - } - - // Return empty forest if the graph is not flat. - if (!isFlat) { - return flatForest; - } - - // Run BFS for each component of the graph. - - var visited = new Set(); - var toBeVisited = []; - var parents = new Map(); - var unProcessedNodes = []; - - unProcessedNodes = unProcessedNodes.concat(allNodes); - - // Each iteration of this loop finds a component of the graph and - // decides whether it is a tree or not. If it is a tree, adds it to the - // forest and continued with the next component. - - while (unProcessedNodes.length > 0 && isForest) { - toBeVisited.push(unProcessedNodes[0]); - - // Start the BFS. Each iteration of this loop visits a node in a - // BFS manner. - while (toBeVisited.length > 0 && isForest) { - //pool operation - var currentNode = toBeVisited[0]; - toBeVisited.splice(0, 1); - visited.add(currentNode); - - // Traverse all neighbors of this node - var neighborEdges = currentNode.getEdges(); - - for (var i = 0; i < neighborEdges.length; i++) { - var currentNeighbor = neighborEdges[i].getOtherEnd(currentNode); - - // If BFS is not growing from this neighbor. - if (parents.get(currentNode) != currentNeighbor) { - // We haven't previously visited this neighbor. - if (!visited.has(currentNeighbor)) { - toBeVisited.push(currentNeighbor); - parents.set(currentNeighbor, currentNode); - } - // Since we have previously visited this neighbor and - // this neighbor is not parent of currentNode, given - // graph contains a component that is not tree, hence - // it is not a forest. - else { - isForest = false; - break; - } - } - } - } - - // The graph contains a component that is not a tree. Empty - // previously found trees. The method will end. - if (!isForest) { - flatForest = []; - } - // Save currently visited nodes as a tree in our forest. Reset - // visited and parents lists. Continue with the next component of - // the graph, if any. - else { - var temp = [].concat(_toConsumableArray(visited)); - flatForest.push(temp); - //flatForest = flatForest.concat(temp); - //unProcessedNodes.removeAll(visited); - for (var i = 0; i < temp.length; i++) { - var value = temp[i]; - var index = unProcessedNodes.indexOf(value); - if (index > -1) { - unProcessedNodes.splice(index, 1); - } - } - visited = new Set(); - parents = new Map(); - } - } - - return flatForest; -}; - -/** - * This method creates dummy nodes (an l-level node with minimal dimensions) - * for the given edge (one per bendpoint). The existing l-level structure - * is updated accordingly. - */ -Layout.prototype.createDummyNodesForBendpoints = function (edge) { - var dummyNodes = []; - var prev = edge.source; - - var graph = this.graphManager.calcLowestCommonAncestor(edge.source, edge.target); - - for (var i = 0; i < edge.bendpoints.length; i++) { - // create new dummy node - var dummyNode = this.newNode(null); - dummyNode.setRect(new Point(0, 0), new Dimension(1, 1)); - - graph.add(dummyNode); - - // create new dummy edge between prev and dummy node - var dummyEdge = this.newEdge(null); - this.graphManager.add(dummyEdge, prev, dummyNode); - - dummyNodes.add(dummyNode); - prev = dummyNode; - } - - var dummyEdge = this.newEdge(null); - this.graphManager.add(dummyEdge, prev, edge.target); - - this.edgeToDummyNodes.set(edge, dummyNodes); - - // remove real edge from graph manager if it is inter-graph - if (edge.isInterGraph()) { - this.graphManager.remove(edge); - } - // else, remove the edge from the current graph - else { - graph.remove(edge); - } - - return dummyNodes; -}; - -/** - * This method creates bendpoints for edges from the dummy nodes - * at l-level. - */ -Layout.prototype.createBendpointsFromDummyNodes = function () { - var edges = []; - edges = edges.concat(this.graphManager.getAllEdges()); - edges = [].concat(_toConsumableArray(this.edgeToDummyNodes.keys())).concat(edges); - - for (var k = 0; k < edges.length; k++) { - var lEdge = edges[k]; - - if (lEdge.bendpoints.length > 0) { - var path = this.edgeToDummyNodes.get(lEdge); - - for (var i = 0; i < path.length; i++) { - var dummyNode = path[i]; - var p = new PointD(dummyNode.getCenterX(), dummyNode.getCenterY()); - - // update bendpoint's location according to dummy node - var ebp = lEdge.bendpoints.get(i); - ebp.x = p.x; - ebp.y = p.y; - - // remove the dummy node, dummy edges incident with this - // dummy node is also removed (within the remove method) - dummyNode.getOwner().remove(dummyNode); - } - - // add the real edge to graph - this.graphManager.add(lEdge, lEdge.source, lEdge.target); - } - } -}; - -Layout.transform = function (sliderValue, defaultValue, minDiv, maxMul) { - if (minDiv != undefined && maxMul != undefined) { - var value = defaultValue; - - if (sliderValue <= 50) { - var minValue = defaultValue / minDiv; - value -= (defaultValue - minValue) / 50 * (50 - sliderValue); - } else { - var maxValue = defaultValue * maxMul; - value += (maxValue - defaultValue) / 50 * (sliderValue - 50); - } - - return value; - } else { - var a, b; - - if (sliderValue <= 50) { - a = 9.0 * defaultValue / 500.0; - b = defaultValue / 10.0; - } else { - a = 9.0 * defaultValue / 50.0; - b = -8 * defaultValue; - } - - return a * sliderValue + b; - } -}; - -/** - * This method finds and returns the center of the given nodes, assuming - * that the given nodes form a tree in themselves. - */ -Layout.findCenterOfTree = function (nodes) { - var list = []; - list = list.concat(nodes); - - var removedNodes = []; - var remainingDegrees = new Map(); - var foundCenter = false; - var centerNode = null; - - if (list.length == 1 || list.length == 2) { - foundCenter = true; - centerNode = list[0]; - } - - for (var i = 0; i < list.length; i++) { - var node = list[i]; - var degree = node.getNeighborsList().size; - remainingDegrees.set(node, node.getNeighborsList().size); - - if (degree == 1) { - removedNodes.push(node); - } - } - - var tempList = []; - tempList = tempList.concat(removedNodes); - - while (!foundCenter) { - var tempList2 = []; - tempList2 = tempList2.concat(tempList); - tempList = []; - - for (var i = 0; i < list.length; i++) { - var node = list[i]; - - var index = list.indexOf(node); - if (index >= 0) { - list.splice(index, 1); - } - - var neighbours = node.getNeighborsList(); - - neighbours.forEach(function (neighbour) { - if (removedNodes.indexOf(neighbour) < 0) { - var otherDegree = remainingDegrees.get(neighbour); - var newDegree = otherDegree - 1; - - if (newDegree == 1) { - tempList.push(neighbour); - } - - remainingDegrees.set(neighbour, newDegree); - } - }); - } - - removedNodes = removedNodes.concat(tempList); - - if (list.length == 1 || list.length == 2) { - foundCenter = true; - centerNode = list[0]; - } - } - - return centerNode; -}; - -/** - * During the coarsening process, this layout may be referenced by two graph managers - * this setter function grants access to change the currently being used graph manager - */ -Layout.prototype.setGraphManager = function (gm) { - this.graphManager = gm; -}; - -module.exports = Layout; - -/***/ }), -/* 16 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function RandomSeed() {} -// adapted from: https://stackoverflow.com/a/19303725 -RandomSeed.seed = 1; -RandomSeed.x = 0; - -RandomSeed.nextDouble = function () { - RandomSeed.x = Math.sin(RandomSeed.seed++) * 10000; - return RandomSeed.x - Math.floor(RandomSeed.x); -}; - -module.exports = RandomSeed; - -/***/ }), -/* 17 */ -/***/ (function(module, exports, __nested_webpack_require_81860__) { - -"use strict"; - - -var PointD = __nested_webpack_require_81860__(4); - -function Transform(x, y) { - this.lworldOrgX = 0.0; - this.lworldOrgY = 0.0; - this.ldeviceOrgX = 0.0; - this.ldeviceOrgY = 0.0; - this.lworldExtX = 1.0; - this.lworldExtY = 1.0; - this.ldeviceExtX = 1.0; - this.ldeviceExtY = 1.0; -} - -Transform.prototype.getWorldOrgX = function () { - return this.lworldOrgX; -}; - -Transform.prototype.setWorldOrgX = function (wox) { - this.lworldOrgX = wox; -}; - -Transform.prototype.getWorldOrgY = function () { - return this.lworldOrgY; -}; - -Transform.prototype.setWorldOrgY = function (woy) { - this.lworldOrgY = woy; -}; - -Transform.prototype.getWorldExtX = function () { - return this.lworldExtX; -}; - -Transform.prototype.setWorldExtX = function (wex) { - this.lworldExtX = wex; -}; - -Transform.prototype.getWorldExtY = function () { - return this.lworldExtY; -}; - -Transform.prototype.setWorldExtY = function (wey) { - this.lworldExtY = wey; -}; - -/* Device related */ - -Transform.prototype.getDeviceOrgX = function () { - return this.ldeviceOrgX; -}; - -Transform.prototype.setDeviceOrgX = function (dox) { - this.ldeviceOrgX = dox; -}; - -Transform.prototype.getDeviceOrgY = function () { - return this.ldeviceOrgY; -}; - -Transform.prototype.setDeviceOrgY = function (doy) { - this.ldeviceOrgY = doy; -}; - -Transform.prototype.getDeviceExtX = function () { - return this.ldeviceExtX; -}; - -Transform.prototype.setDeviceExtX = function (dex) { - this.ldeviceExtX = dex; -}; - -Transform.prototype.getDeviceExtY = function () { - return this.ldeviceExtY; -}; - -Transform.prototype.setDeviceExtY = function (dey) { - this.ldeviceExtY = dey; -}; - -Transform.prototype.transformX = function (x) { - var xDevice = 0.0; - var worldExtX = this.lworldExtX; - if (worldExtX != 0.0) { - xDevice = this.ldeviceOrgX + (x - this.lworldOrgX) * this.ldeviceExtX / worldExtX; - } - - return xDevice; -}; - -Transform.prototype.transformY = function (y) { - var yDevice = 0.0; - var worldExtY = this.lworldExtY; - if (worldExtY != 0.0) { - yDevice = this.ldeviceOrgY + (y - this.lworldOrgY) * this.ldeviceExtY / worldExtY; - } - - return yDevice; -}; - -Transform.prototype.inverseTransformX = function (x) { - var xWorld = 0.0; - var deviceExtX = this.ldeviceExtX; - if (deviceExtX != 0.0) { - xWorld = this.lworldOrgX + (x - this.ldeviceOrgX) * this.lworldExtX / deviceExtX; - } - - return xWorld; -}; - -Transform.prototype.inverseTransformY = function (y) { - var yWorld = 0.0; - var deviceExtY = this.ldeviceExtY; - if (deviceExtY != 0.0) { - yWorld = this.lworldOrgY + (y - this.ldeviceOrgY) * this.lworldExtY / deviceExtY; - } - return yWorld; -}; - -Transform.prototype.inverseTransformPoint = function (inPoint) { - var outPoint = new PointD(this.inverseTransformX(inPoint.x), this.inverseTransformY(inPoint.y)); - return outPoint; -}; - -module.exports = Transform; - -/***/ }), -/* 18 */ -/***/ (function(module, exports, __nested_webpack_require_84747__) { - -"use strict"; - - -function _toConsumableArray(arr) { if (Array.isArray(arr)) { for (var i = 0, arr2 = Array(arr.length); i < arr.length; i++) { arr2[i] = arr[i]; } return arr2; } else { return Array.from(arr); } } - -var Layout = __nested_webpack_require_84747__(15); -var FDLayoutConstants = __nested_webpack_require_84747__(7); -var LayoutConstants = __nested_webpack_require_84747__(0); -var IGeometry = __nested_webpack_require_84747__(8); -var IMath = __nested_webpack_require_84747__(9); - -function FDLayout() { - Layout.call(this); - - this.useSmartIdealEdgeLengthCalculation = FDLayoutConstants.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION; - this.idealEdgeLength = FDLayoutConstants.DEFAULT_EDGE_LENGTH; - this.springConstant = FDLayoutConstants.DEFAULT_SPRING_STRENGTH; - this.repulsionConstant = FDLayoutConstants.DEFAULT_REPULSION_STRENGTH; - this.gravityConstant = FDLayoutConstants.DEFAULT_GRAVITY_STRENGTH; - this.compoundGravityConstant = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_STRENGTH; - this.gravityRangeFactor = FDLayoutConstants.DEFAULT_GRAVITY_RANGE_FACTOR; - this.compoundGravityRangeFactor = FDLayoutConstants.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR; - this.displacementThresholdPerNode = 3.0 * FDLayoutConstants.DEFAULT_EDGE_LENGTH / 100; - this.coolingFactor = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL; - this.initialCoolingFactor = FDLayoutConstants.DEFAULT_COOLING_FACTOR_INCREMENTAL; - this.totalDisplacement = 0.0; - this.oldTotalDisplacement = 0.0; - this.maxIterations = FDLayoutConstants.MAX_ITERATIONS; -} - -FDLayout.prototype = Object.create(Layout.prototype); - -for (var prop in Layout) { - FDLayout[prop] = Layout[prop]; -} - -FDLayout.prototype.initParameters = function () { - Layout.prototype.initParameters.call(this, arguments); - - this.totalIterations = 0; - this.notAnimatedIterations = 0; - - this.useFRGridVariant = FDLayoutConstants.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION; - - this.grid = []; -}; - -FDLayout.prototype.calcIdealEdgeLengths = function () { - var edge; - var lcaDepth; - var source; - var target; - var sizeOfSourceInLca; - var sizeOfTargetInLca; - - var allEdges = this.getGraphManager().getAllEdges(); - for (var i = 0; i < allEdges.length; i++) { - edge = allEdges[i]; - - edge.idealLength = this.idealEdgeLength; - - if (edge.isInterGraph) { - source = edge.getSource(); - target = edge.getTarget(); - - sizeOfSourceInLca = edge.getSourceInLca().getEstimatedSize(); - sizeOfTargetInLca = edge.getTargetInLca().getEstimatedSize(); - - if (this.useSmartIdealEdgeLengthCalculation) { - edge.idealLength += sizeOfSourceInLca + sizeOfTargetInLca - 2 * LayoutConstants.SIMPLE_NODE_SIZE; - } - - lcaDepth = edge.getLca().getInclusionTreeDepth(); - - edge.idealLength += FDLayoutConstants.DEFAULT_EDGE_LENGTH * FDLayoutConstants.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR * (source.getInclusionTreeDepth() + target.getInclusionTreeDepth() - 2 * lcaDepth); - } - } -}; - -FDLayout.prototype.initSpringEmbedder = function () { - - var s = this.getAllNodes().length; - if (this.incremental) { - if (s > FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) { - this.coolingFactor = Math.max(this.coolingFactor * FDLayoutConstants.COOLING_ADAPTATION_FACTOR, this.coolingFactor - (s - FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) / (FDLayoutConstants.ADAPTATION_UPPER_NODE_LIMIT - FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) * this.coolingFactor * (1 - FDLayoutConstants.COOLING_ADAPTATION_FACTOR)); - } - this.maxNodeDisplacement = FDLayoutConstants.MAX_NODE_DISPLACEMENT_INCREMENTAL; - } else { - if (s > FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) { - this.coolingFactor = Math.max(FDLayoutConstants.COOLING_ADAPTATION_FACTOR, 1.0 - (s - FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) / (FDLayoutConstants.ADAPTATION_UPPER_NODE_LIMIT - FDLayoutConstants.ADAPTATION_LOWER_NODE_LIMIT) * (1 - FDLayoutConstants.COOLING_ADAPTATION_FACTOR)); - } else { - this.coolingFactor = 1.0; - } - this.initialCoolingFactor = this.coolingFactor; - this.maxNodeDisplacement = FDLayoutConstants.MAX_NODE_DISPLACEMENT; - } - - this.maxIterations = Math.max(this.getAllNodes().length * 5, this.maxIterations); - - this.totalDisplacementThreshold = this.displacementThresholdPerNode * this.getAllNodes().length; - - this.repulsionRange = this.calcRepulsionRange(); -}; - -FDLayout.prototype.calcSpringForces = function () { - var lEdges = this.getAllEdges(); - var edge; - - for (var i = 0; i < lEdges.length; i++) { - edge = lEdges[i]; - - this.calcSpringForce(edge, edge.idealLength); - } -}; - -FDLayout.prototype.calcRepulsionForces = function () { - var gridUpdateAllowed = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : true; - var forceToNodeSurroundingUpdate = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false; - - var i, j; - var nodeA, nodeB; - var lNodes = this.getAllNodes(); - var processedNodeSet; - - if (this.useFRGridVariant) { - if (this.totalIterations % FDLayoutConstants.GRID_CALCULATION_CHECK_PERIOD == 1 && gridUpdateAllowed) { - this.updateGrid(); - } - - processedNodeSet = new Set(); - - // calculate repulsion forces between each nodes and its surrounding - for (i = 0; i < lNodes.length; i++) { - nodeA = lNodes[i]; - this.calculateRepulsionForceOfANode(nodeA, processedNodeSet, gridUpdateAllowed, forceToNodeSurroundingUpdate); - processedNodeSet.add(nodeA); - } - } else { - for (i = 0; i < lNodes.length; i++) { - nodeA = lNodes[i]; - - for (j = i + 1; j < lNodes.length; j++) { - nodeB = lNodes[j]; - - // If both nodes are not members of the same graph, skip. - if (nodeA.getOwner() != nodeB.getOwner()) { - continue; - } - - this.calcRepulsionForce(nodeA, nodeB); - } - } - } -}; - -FDLayout.prototype.calcGravitationalForces = function () { - var node; - var lNodes = this.getAllNodesToApplyGravitation(); - - for (var i = 0; i < lNodes.length; i++) { - node = lNodes[i]; - this.calcGravitationalForce(node); - } -}; - -FDLayout.prototype.moveNodes = function () { - var lNodes = this.getAllNodes(); - var node; - - for (var i = 0; i < lNodes.length; i++) { - node = lNodes[i]; - node.move(); - } -}; - -FDLayout.prototype.calcSpringForce = function (edge, idealLength) { - var sourceNode = edge.getSource(); - var targetNode = edge.getTarget(); - - var length; - var springForce; - var springForceX; - var springForceY; - - // Update edge length - if (this.uniformLeafNodeSizes && sourceNode.getChild() == null && targetNode.getChild() == null) { - edge.updateLengthSimple(); - } else { - edge.updateLength(); - - if (edge.isOverlapingSourceAndTarget) { - return; - } - } - - length = edge.getLength(); - - if (length == 0) return; - - // Calculate spring forces - springForce = this.springConstant * (length - idealLength); - - // Project force onto x and y axes - springForceX = springForce * (edge.lengthX / length); - springForceY = springForce * (edge.lengthY / length); - - // Apply forces on the end nodes - sourceNode.springForceX += springForceX; - sourceNode.springForceY += springForceY; - targetNode.springForceX -= springForceX; - targetNode.springForceY -= springForceY; -}; - -FDLayout.prototype.calcRepulsionForce = function (nodeA, nodeB) { - var rectA = nodeA.getRect(); - var rectB = nodeB.getRect(); - var overlapAmount = new Array(2); - var clipPoints = new Array(4); - var distanceX; - var distanceY; - var distanceSquared; - var distance; - var repulsionForce; - var repulsionForceX; - var repulsionForceY; - - if (rectA.intersects(rectB)) // two nodes overlap - { - // calculate separation amount in x and y directions - IGeometry.calcSeparationAmount(rectA, rectB, overlapAmount, FDLayoutConstants.DEFAULT_EDGE_LENGTH / 2.0); - - repulsionForceX = 2 * overlapAmount[0]; - repulsionForceY = 2 * overlapAmount[1]; - - var childrenConstant = nodeA.noOfChildren * nodeB.noOfChildren / (nodeA.noOfChildren + nodeB.noOfChildren); - - // Apply forces on the two nodes - nodeA.repulsionForceX -= childrenConstant * repulsionForceX; - nodeA.repulsionForceY -= childrenConstant * repulsionForceY; - nodeB.repulsionForceX += childrenConstant * repulsionForceX; - nodeB.repulsionForceY += childrenConstant * repulsionForceY; - } else // no overlap - { - // calculate distance - - if (this.uniformLeafNodeSizes && nodeA.getChild() == null && nodeB.getChild() == null) // simply base repulsion on distance of node centers - { - distanceX = rectB.getCenterX() - rectA.getCenterX(); - distanceY = rectB.getCenterY() - rectA.getCenterY(); - } else // use clipping points - { - IGeometry.getIntersection(rectA, rectB, clipPoints); - - distanceX = clipPoints[2] - clipPoints[0]; - distanceY = clipPoints[3] - clipPoints[1]; - } - - // No repulsion range. FR grid variant should take care of this. - if (Math.abs(distanceX) < FDLayoutConstants.MIN_REPULSION_DIST) { - distanceX = IMath.sign(distanceX) * FDLayoutConstants.MIN_REPULSION_DIST; - } - - if (Math.abs(distanceY) < FDLayoutConstants.MIN_REPULSION_DIST) { - distanceY = IMath.sign(distanceY) * FDLayoutConstants.MIN_REPULSION_DIST; - } - - distanceSquared = distanceX * distanceX + distanceY * distanceY; - distance = Math.sqrt(distanceSquared); - - repulsionForce = this.repulsionConstant * nodeA.noOfChildren * nodeB.noOfChildren / distanceSquared; - - // Project force onto x and y axes - repulsionForceX = repulsionForce * distanceX / distance; - repulsionForceY = repulsionForce * distanceY / distance; - - // Apply forces on the two nodes - nodeA.repulsionForceX -= repulsionForceX; - nodeA.repulsionForceY -= repulsionForceY; - nodeB.repulsionForceX += repulsionForceX; - nodeB.repulsionForceY += repulsionForceY; - } -}; - -FDLayout.prototype.calcGravitationalForce = function (node) { - var ownerGraph; - var ownerCenterX; - var ownerCenterY; - var distanceX; - var distanceY; - var absDistanceX; - var absDistanceY; - var estimatedSize; - ownerGraph = node.getOwner(); - - ownerCenterX = (ownerGraph.getRight() + ownerGraph.getLeft()) / 2; - ownerCenterY = (ownerGraph.getTop() + ownerGraph.getBottom()) / 2; - distanceX = node.getCenterX() - ownerCenterX; - distanceY = node.getCenterY() - ownerCenterY; - absDistanceX = Math.abs(distanceX) + node.getWidth() / 2; - absDistanceY = Math.abs(distanceY) + node.getHeight() / 2; - - if (node.getOwner() == this.graphManager.getRoot()) // in the root graph - { - estimatedSize = ownerGraph.getEstimatedSize() * this.gravityRangeFactor; - - if (absDistanceX > estimatedSize || absDistanceY > estimatedSize) { - node.gravitationForceX = -this.gravityConstant * distanceX; - node.gravitationForceY = -this.gravityConstant * distanceY; - } - } else // inside a compound - { - estimatedSize = ownerGraph.getEstimatedSize() * this.compoundGravityRangeFactor; - - if (absDistanceX > estimatedSize || absDistanceY > estimatedSize) { - node.gravitationForceX = -this.gravityConstant * distanceX * this.compoundGravityConstant; - node.gravitationForceY = -this.gravityConstant * distanceY * this.compoundGravityConstant; - } - } -}; - -FDLayout.prototype.isConverged = function () { - var converged; - var oscilating = false; - - if (this.totalIterations > this.maxIterations / 3) { - oscilating = Math.abs(this.totalDisplacement - this.oldTotalDisplacement) < 2; - } - - converged = this.totalDisplacement < this.totalDisplacementThreshold; - - this.oldTotalDisplacement = this.totalDisplacement; - - return converged || oscilating; -}; - -FDLayout.prototype.animate = function () { - if (this.animationDuringLayout && !this.isSubLayout) { - if (this.notAnimatedIterations == this.animationPeriod) { - this.update(); - this.notAnimatedIterations = 0; - } else { - this.notAnimatedIterations++; - } - } -}; - -//This method calculates the number of children (weight) for all nodes -FDLayout.prototype.calcNoOfChildrenForAllNodes = function () { - var node; - var allNodes = this.graphManager.getAllNodes(); - - for (var i = 0; i < allNodes.length; i++) { - node = allNodes[i]; - node.noOfChildren = node.getNoOfChildren(); - } -}; - -// ----------------------------------------------------------------------------- -// Section: FR-Grid Variant Repulsion Force Calculation -// ----------------------------------------------------------------------------- - -FDLayout.prototype.calcGrid = function (graph) { - - var sizeX = 0; - var sizeY = 0; - - sizeX = parseInt(Math.ceil((graph.getRight() - graph.getLeft()) / this.repulsionRange)); - sizeY = parseInt(Math.ceil((graph.getBottom() - graph.getTop()) / this.repulsionRange)); - - var grid = new Array(sizeX); - - for (var i = 0; i < sizeX; i++) { - grid[i] = new Array(sizeY); - } - - for (var i = 0; i < sizeX; i++) { - for (var j = 0; j < sizeY; j++) { - grid[i][j] = new Array(); - } - } - - return grid; -}; - -FDLayout.prototype.addNodeToGrid = function (v, left, top) { - - var startX = 0; - var finishX = 0; - var startY = 0; - var finishY = 0; - - startX = parseInt(Math.floor((v.getRect().x - left) / this.repulsionRange)); - finishX = parseInt(Math.floor((v.getRect().width + v.getRect().x - left) / this.repulsionRange)); - startY = parseInt(Math.floor((v.getRect().y - top) / this.repulsionRange)); - finishY = parseInt(Math.floor((v.getRect().height + v.getRect().y - top) / this.repulsionRange)); - - for (var i = startX; i <= finishX; i++) { - for (var j = startY; j <= finishY; j++) { - this.grid[i][j].push(v); - v.setGridCoordinates(startX, finishX, startY, finishY); - } - } -}; - -FDLayout.prototype.updateGrid = function () { - var i; - var nodeA; - var lNodes = this.getAllNodes(); - - this.grid = this.calcGrid(this.graphManager.getRoot()); - - // put all nodes to proper grid cells - for (i = 0; i < lNodes.length; i++) { - nodeA = lNodes[i]; - this.addNodeToGrid(nodeA, this.graphManager.getRoot().getLeft(), this.graphManager.getRoot().getTop()); - } -}; - -FDLayout.prototype.calculateRepulsionForceOfANode = function (nodeA, processedNodeSet, gridUpdateAllowed, forceToNodeSurroundingUpdate) { - - if (this.totalIterations % FDLayoutConstants.GRID_CALCULATION_CHECK_PERIOD == 1 && gridUpdateAllowed || forceToNodeSurroundingUpdate) { - var surrounding = new Set(); - nodeA.surrounding = new Array(); - var nodeB; - var grid = this.grid; - - for (var i = nodeA.startX - 1; i < nodeA.finishX + 2; i++) { - for (var j = nodeA.startY - 1; j < nodeA.finishY + 2; j++) { - if (!(i < 0 || j < 0 || i >= grid.length || j >= grid[0].length)) { - for (var k = 0; k < grid[i][j].length; k++) { - nodeB = grid[i][j][k]; - - // If both nodes are not members of the same graph, - // or both nodes are the same, skip. - if (nodeA.getOwner() != nodeB.getOwner() || nodeA == nodeB) { - continue; - } - - // check if the repulsion force between - // nodeA and nodeB has already been calculated - if (!processedNodeSet.has(nodeB) && !surrounding.has(nodeB)) { - var distanceX = Math.abs(nodeA.getCenterX() - nodeB.getCenterX()) - (nodeA.getWidth() / 2 + nodeB.getWidth() / 2); - var distanceY = Math.abs(nodeA.getCenterY() - nodeB.getCenterY()) - (nodeA.getHeight() / 2 + nodeB.getHeight() / 2); - - // if the distance between nodeA and nodeB - // is less then calculation range - if (distanceX <= this.repulsionRange && distanceY <= this.repulsionRange) { - //then add nodeB to surrounding of nodeA - surrounding.add(nodeB); - } - } - } - } - } - } - - nodeA.surrounding = [].concat(_toConsumableArray(surrounding)); - } - for (i = 0; i < nodeA.surrounding.length; i++) { - this.calcRepulsionForce(nodeA, nodeA.surrounding[i]); - } -}; - -FDLayout.prototype.calcRepulsionRange = function () { - return 0.0; -}; - -module.exports = FDLayout; - -/***/ }), -/* 19 */ -/***/ (function(module, exports, __nested_webpack_require_100902__) { - -"use strict"; - - -var LEdge = __nested_webpack_require_100902__(1); -var FDLayoutConstants = __nested_webpack_require_100902__(7); - -function FDLayoutEdge(source, target, vEdge) { - LEdge.call(this, source, target, vEdge); - this.idealLength = FDLayoutConstants.DEFAULT_EDGE_LENGTH; -} - -FDLayoutEdge.prototype = Object.create(LEdge.prototype); - -for (var prop in LEdge) { - FDLayoutEdge[prop] = LEdge[prop]; -} - -module.exports = FDLayoutEdge; - -/***/ }), -/* 20 */ -/***/ (function(module, exports, __nested_webpack_require_101387__) { - -"use strict"; - - -var LNode = __nested_webpack_require_101387__(3); - -function FDLayoutNode(gm, loc, size, vNode) { - // alternative constructor is handled inside LNode - LNode.call(this, gm, loc, size, vNode); - //Spring, repulsion and gravitational forces acting on this node - this.springForceX = 0; - this.springForceY = 0; - this.repulsionForceX = 0; - this.repulsionForceY = 0; - this.gravitationForceX = 0; - this.gravitationForceY = 0; - //Amount by which this node is to be moved in this iteration - this.displacementX = 0; - this.displacementY = 0; - - //Start and finish grid coordinates that this node is fallen into - this.startX = 0; - this.finishX = 0; - this.startY = 0; - this.finishY = 0; - - //Geometric neighbors of this node - this.surrounding = []; -} - -FDLayoutNode.prototype = Object.create(LNode.prototype); - -for (var prop in LNode) { - FDLayoutNode[prop] = LNode[prop]; -} - -FDLayoutNode.prototype.setGridCoordinates = function (_startX, _finishX, _startY, _finishY) { - this.startX = _startX; - this.finishX = _finishX; - this.startY = _startY; - this.finishY = _finishY; -}; - -module.exports = FDLayoutNode; - -/***/ }), -/* 21 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function DimensionD(width, height) { - this.width = 0; - this.height = 0; - if (width !== null && height !== null) { - this.height = height; - this.width = width; - } -} - -DimensionD.prototype.getWidth = function () { - return this.width; -}; - -DimensionD.prototype.setWidth = function (width) { - this.width = width; -}; - -DimensionD.prototype.getHeight = function () { - return this.height; -}; - -DimensionD.prototype.setHeight = function (height) { - this.height = height; -}; - -module.exports = DimensionD; - -/***/ }), -/* 22 */ -/***/ (function(module, exports, __nested_webpack_require_103173__) { - -"use strict"; - - -var UniqueIDGeneretor = __nested_webpack_require_103173__(14); - -function HashMap() { - this.map = {}; - this.keys = []; -} - -HashMap.prototype.put = function (key, value) { - var theId = UniqueIDGeneretor.createID(key); - if (!this.contains(theId)) { - this.map[theId] = value; - this.keys.push(key); - } -}; - -HashMap.prototype.contains = function (key) { - var theId = UniqueIDGeneretor.createID(key); - return this.map[key] != null; -}; - -HashMap.prototype.get = function (key) { - var theId = UniqueIDGeneretor.createID(key); - return this.map[theId]; -}; - -HashMap.prototype.keySet = function () { - return this.keys; -}; - -module.exports = HashMap; - -/***/ }), -/* 23 */ -/***/ (function(module, exports, __nested_webpack_require_103901__) { - -"use strict"; - - -var UniqueIDGeneretor = __nested_webpack_require_103901__(14); - -function HashSet() { - this.set = {}; -} -; - -HashSet.prototype.add = function (obj) { - var theId = UniqueIDGeneretor.createID(obj); - if (!this.contains(theId)) this.set[theId] = obj; -}; - -HashSet.prototype.remove = function (obj) { - delete this.set[UniqueIDGeneretor.createID(obj)]; -}; - -HashSet.prototype.clear = function () { - this.set = {}; -}; - -HashSet.prototype.contains = function (obj) { - return this.set[UniqueIDGeneretor.createID(obj)] == obj; -}; - -HashSet.prototype.isEmpty = function () { - return this.size() === 0; -}; - -HashSet.prototype.size = function () { - return Object.keys(this.set).length; -}; - -//concats this.set to the given list -HashSet.prototype.addAllTo = function (list) { - var keys = Object.keys(this.set); - var length = keys.length; - for (var i = 0; i < length; i++) { - list.push(this.set[keys[i]]); - } -}; - -HashSet.prototype.size = function () { - return Object.keys(this.set).length; -}; - -HashSet.prototype.addAll = function (list) { - var s = list.length; - for (var i = 0; i < s; i++) { - var v = list[i]; - this.add(v); - } -}; - -module.exports = HashSet; - -/***/ }), -/* 24 */ -/***/ (function(module, exports, __nested_webpack_require_105138__) { - -"use strict"; - - -var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); - -function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } - -/** - * A classic Quicksort algorithm with Hoare's partition - * - Works also on LinkedList objects - * - * Copyright: i-Vis Research Group, Bilkent University, 2007 - present - */ - -var LinkedList = __nested_webpack_require_105138__(11); - -var Quicksort = function () { - function Quicksort(A, compareFunction) { - _classCallCheck(this, Quicksort); - - if (compareFunction !== null || compareFunction !== undefined) this.compareFunction = this._defaultCompareFunction; - - var length = void 0; - if (A instanceof LinkedList) length = A.size();else length = A.length; - - this._quicksort(A, 0, length - 1); - } - - _createClass(Quicksort, [{ - key: '_quicksort', - value: function _quicksort(A, p, r) { - if (p < r) { - var q = this._partition(A, p, r); - this._quicksort(A, p, q); - this._quicksort(A, q + 1, r); - } - } - }, { - key: '_partition', - value: function _partition(A, p, r) { - var x = this._get(A, p); - var i = p; - var j = r; - while (true) { - while (this.compareFunction(x, this._get(A, j))) { - j--; - }while (this.compareFunction(this._get(A, i), x)) { - i++; - }if (i < j) { - this._swap(A, i, j); - i++; - j--; - } else return j; - } - } - }, { - key: '_get', - value: function _get(object, index) { - if (object instanceof LinkedList) return object.get_object_at(index);else return object[index]; - } - }, { - key: '_set', - value: function _set(object, index, value) { - if (object instanceof LinkedList) object.set_object_at(index, value);else object[index] = value; - } - }, { - key: '_swap', - value: function _swap(A, i, j) { - var temp = this._get(A, i); - this._set(A, i, this._get(A, j)); - this._set(A, j, temp); - } - }, { - key: '_defaultCompareFunction', - value: function _defaultCompareFunction(a, b) { - return b > a; - } - }]); - - return Quicksort; -}(); - -module.exports = Quicksort; - -/***/ }), -/* 25 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); - -function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } - -/** - * Needleman-Wunsch algorithm is an procedure to compute the optimal global alignment of two string - * sequences by S.B.Needleman and C.D.Wunsch (1970). - * - * Aside from the inputs, you can assign the scores for, - * - Match: The two characters at the current index are same. - * - Mismatch: The two characters at the current index are different. - * - Insertion/Deletion(gaps): The best alignment involves one letter aligning to a gap in the other string. - */ - -var NeedlemanWunsch = function () { - function NeedlemanWunsch(sequence1, sequence2) { - var match_score = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 1; - var mismatch_penalty = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : -1; - var gap_penalty = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : -1; - - _classCallCheck(this, NeedlemanWunsch); - - this.sequence1 = sequence1; - this.sequence2 = sequence2; - this.match_score = match_score; - this.mismatch_penalty = mismatch_penalty; - this.gap_penalty = gap_penalty; - - // Just the remove redundancy - this.iMax = sequence1.length + 1; - this.jMax = sequence2.length + 1; - - // Grid matrix of scores - this.grid = new Array(this.iMax); - for (var i = 0; i < this.iMax; i++) { - this.grid[i] = new Array(this.jMax); - - for (var j = 0; j < this.jMax; j++) { - this.grid[i][j] = 0; - } - } - - // Traceback matrix (2D array, each cell is an array of boolean values for [`Diag`, `Up`, `Left`] positions) - this.tracebackGrid = new Array(this.iMax); - for (var _i = 0; _i < this.iMax; _i++) { - this.tracebackGrid[_i] = new Array(this.jMax); - - for (var _j = 0; _j < this.jMax; _j++) { - this.tracebackGrid[_i][_j] = [null, null, null]; - } - } - - // The aligned sequences (return multiple possibilities) - this.alignments = []; - - // Final alignment score - this.score = -1; - - // Calculate scores and tracebacks - this.computeGrids(); - } - - _createClass(NeedlemanWunsch, [{ - key: "getScore", - value: function getScore() { - return this.score; - } - }, { - key: "getAlignments", - value: function getAlignments() { - return this.alignments; - } - - // Main dynamic programming procedure - - }, { - key: "computeGrids", - value: function computeGrids() { - // Fill in the first row - for (var j = 1; j < this.jMax; j++) { - this.grid[0][j] = this.grid[0][j - 1] + this.gap_penalty; - this.tracebackGrid[0][j] = [false, false, true]; - } - - // Fill in the first column - for (var i = 1; i < this.iMax; i++) { - this.grid[i][0] = this.grid[i - 1][0] + this.gap_penalty; - this.tracebackGrid[i][0] = [false, true, false]; - } - - // Fill the rest of the grid - for (var _i2 = 1; _i2 < this.iMax; _i2++) { - for (var _j2 = 1; _j2 < this.jMax; _j2++) { - // Find the max score(s) among [`Diag`, `Up`, `Left`] - var diag = void 0; - if (this.sequence1[_i2 - 1] === this.sequence2[_j2 - 1]) diag = this.grid[_i2 - 1][_j2 - 1] + this.match_score;else diag = this.grid[_i2 - 1][_j2 - 1] + this.mismatch_penalty; - - var up = this.grid[_i2 - 1][_j2] + this.gap_penalty; - var left = this.grid[_i2][_j2 - 1] + this.gap_penalty; - - // If there exists multiple max values, capture them for multiple paths - var maxOf = [diag, up, left]; - var indices = this.arrayAllMaxIndexes(maxOf); - - // Update Grids - this.grid[_i2][_j2] = maxOf[indices[0]]; - this.tracebackGrid[_i2][_j2] = [indices.includes(0), indices.includes(1), indices.includes(2)]; - } - } - - // Update alignment score - this.score = this.grid[this.iMax - 1][this.jMax - 1]; - } - - // Gets all possible valid sequence combinations - - }, { - key: "alignmentTraceback", - value: function alignmentTraceback() { - var inProcessAlignments = []; - - inProcessAlignments.push({ pos: [this.sequence1.length, this.sequence2.length], - seq1: "", - seq2: "" - }); - - while (inProcessAlignments[0]) { - var current = inProcessAlignments[0]; - var directions = this.tracebackGrid[current.pos[0]][current.pos[1]]; - - if (directions[0]) { - inProcessAlignments.push({ pos: [current.pos[0] - 1, current.pos[1] - 1], - seq1: this.sequence1[current.pos[0] - 1] + current.seq1, - seq2: this.sequence2[current.pos[1] - 1] + current.seq2 - }); - } - if (directions[1]) { - inProcessAlignments.push({ pos: [current.pos[0] - 1, current.pos[1]], - seq1: this.sequence1[current.pos[0] - 1] + current.seq1, - seq2: '-' + current.seq2 - }); - } - if (directions[2]) { - inProcessAlignments.push({ pos: [current.pos[0], current.pos[1] - 1], - seq1: '-' + current.seq1, - seq2: this.sequence2[current.pos[1] - 1] + current.seq2 - }); - } - - if (current.pos[0] === 0 && current.pos[1] === 0) this.alignments.push({ sequence1: current.seq1, - sequence2: current.seq2 - }); - - inProcessAlignments.shift(); - } - - return this.alignments; - } - - // Helper Functions - - }, { - key: "getAllIndexes", - value: function getAllIndexes(arr, val) { - var indexes = [], - i = -1; - while ((i = arr.indexOf(val, i + 1)) !== -1) { - indexes.push(i); - } - return indexes; - } - }, { - key: "arrayAllMaxIndexes", - value: function arrayAllMaxIndexes(array) { - return this.getAllIndexes(array, Math.max.apply(null, array)); - } - }]); - - return NeedlemanWunsch; -}(); - -module.exports = NeedlemanWunsch; - -/***/ }), -/* 26 */ -/***/ (function(module, exports, __nested_webpack_require_115611__) { - -"use strict"; - - -var layoutBase = function layoutBase() { - return; -}; - -layoutBase.FDLayout = __nested_webpack_require_115611__(18); -layoutBase.FDLayoutConstants = __nested_webpack_require_115611__(7); -layoutBase.FDLayoutEdge = __nested_webpack_require_115611__(19); -layoutBase.FDLayoutNode = __nested_webpack_require_115611__(20); -layoutBase.DimensionD = __nested_webpack_require_115611__(21); -layoutBase.HashMap = __nested_webpack_require_115611__(22); -layoutBase.HashSet = __nested_webpack_require_115611__(23); -layoutBase.IGeometry = __nested_webpack_require_115611__(8); -layoutBase.IMath = __nested_webpack_require_115611__(9); -layoutBase.Integer = __nested_webpack_require_115611__(10); -layoutBase.Point = __nested_webpack_require_115611__(12); -layoutBase.PointD = __nested_webpack_require_115611__(4); -layoutBase.RandomSeed = __nested_webpack_require_115611__(16); -layoutBase.RectangleD = __nested_webpack_require_115611__(13); -layoutBase.Transform = __nested_webpack_require_115611__(17); -layoutBase.UniqueIDGeneretor = __nested_webpack_require_115611__(14); -layoutBase.Quicksort = __nested_webpack_require_115611__(24); -layoutBase.LinkedList = __nested_webpack_require_115611__(11); -layoutBase.LGraphObject = __nested_webpack_require_115611__(2); -layoutBase.LGraph = __nested_webpack_require_115611__(5); -layoutBase.LEdge = __nested_webpack_require_115611__(1); -layoutBase.LGraphManager = __nested_webpack_require_115611__(6); -layoutBase.LNode = __nested_webpack_require_115611__(3); -layoutBase.Layout = __nested_webpack_require_115611__(15); -layoutBase.LayoutConstants = __nested_webpack_require_115611__(0); -layoutBase.NeedlemanWunsch = __nested_webpack_require_115611__(25); - -module.exports = layoutBase; - -/***/ }), -/* 27 */ -/***/ (function(module, exports, __webpack_require__) { - -"use strict"; - - -function Emitter() { - this.listeners = []; -} - -var p = Emitter.prototype; - -p.addListener = function (event, callback) { - this.listeners.push({ - event: event, - callback: callback - }); -}; - -p.removeListener = function (event, callback) { - for (var i = this.listeners.length; i >= 0; i--) { - var l = this.listeners[i]; - - if (l.event === event && l.callback === callback) { - this.listeners.splice(i, 1); - } - } -}; - -p.emit = function (event, data) { - for (var i = 0; i < this.listeners.length; i++) { - var l = this.listeners[i]; - - if (event === l.event) { - l.callback(data); - } - } -}; - -module.exports = Emitter; - -/***/ }) -/******/ ]); -}); - -/***/ }), - -/***/ 76562: -/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { - -"use strict"; - -// EXPORTS -__webpack_require__.d(__webpack_exports__, { - a: () => (/* binding */ createText), - c: () => (/* binding */ computeDimensionOfText) -}); - -// NAMESPACE OBJECT: ./node_modules/mermaid/node_modules/micromark/lib/constructs.js -var constructs_namespaceObject = {}; -__webpack_require__.r(constructs_namespaceObject); -__webpack_require__.d(constructs_namespaceObject, { - attentionMarkers: () => (attentionMarkers), - contentInitial: () => (contentInitial), - disable: () => (disable), - document: () => (constructs_document), - flow: () => (constructs_flow), - flowInitial: () => (flowInitial), - insideSpan: () => (insideSpan), - string: () => (constructs_string), - text: () => (constructs_text) -}); - -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js -/** - * @typedef {import('mdast').Root|import('mdast').Content} Node - * - * @typedef Options - * Configuration (optional). - * @property {boolean | null | undefined} [includeImageAlt=true] - * Whether to use `alt` for `image`s. - * @property {boolean | null | undefined} [includeHtml=true] - * Whether to use `value` of HTML. - */ - -/** @type {Options} */ -const emptyOptions = {} - -/** - * Get the text content of a node or list of nodes. - * - * Prefers the node’s plain-text fields, otherwise serializes its children, - * and if the given value is an array, serialize the nodes in it. - * - * @param {unknown} value - * Thing to serialize, typically `Node`. - * @param {Options | null | undefined} [options] - * Configuration (optional). - * @returns {string} - * Serialized `value`. - */ -function lib_toString(value, options) { - const settings = options || emptyOptions - const includeImageAlt = - typeof settings.includeImageAlt === 'boolean' - ? settings.includeImageAlt - : true - const includeHtml = - typeof settings.includeHtml === 'boolean' ? settings.includeHtml : true - - return one(value, includeImageAlt, includeHtml) -} - -/** - * One node or several nodes. - * - * @param {unknown} value - * Thing to serialize. - * @param {boolean} includeImageAlt - * Include image `alt`s. - * @param {boolean} includeHtml - * Include HTML. - * @returns {string} - * Serialized node. - */ -function one(value, includeImageAlt, includeHtml) { - if (node(value)) { - if ('value' in value) { - return value.type === 'html' && !includeHtml ? '' : value.value - } - - if (includeImageAlt && 'alt' in value && value.alt) { - return value.alt - } - - if ('children' in value) { - return lib_all(value.children, includeImageAlt, includeHtml) - } - } - - if (Array.isArray(value)) { - return lib_all(value, includeImageAlt, includeHtml) - } - - return '' -} - -/** - * Serialize a list of nodes. - * - * @param {Array<unknown>} values - * Thing to serialize. - * @param {boolean} includeImageAlt - * Include image `alt`s. - * @param {boolean} includeHtml - * Include HTML. - * @returns {string} - * Serialized nodes. - */ -function lib_all(values, includeImageAlt, includeHtml) { - /** @type {Array<string>} */ - const result = [] - let index = -1 - - while (++index < values.length) { - result[index] = one(values[index], includeImageAlt, includeHtml) - } - - return result.join('') -} - -/** - * Check if `value` looks like a node. - * - * @param {unknown} value - * Thing. - * @returns {value is Node} - * Whether `value` is a node. - */ -function node(value) { - return Boolean(value && typeof value === 'object') -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-chunked/index.js -/** - * Like `Array#splice`, but smarter for giant arrays. - * - * `Array#splice` takes all items to be inserted as individual argument which - * causes a stack overflow in V8 when trying to insert 100k items for instance. - * - * Otherwise, this does not return the removed items, and takes `items` as an - * array instead of rest parameters. - * - * @template {unknown} T - * Item type. - * @param {Array<T>} list - * List to operate on. - * @param {number} start - * Index to remove/insert at (can be negative). - * @param {number} remove - * Number of items to remove. - * @param {Array<T>} items - * Items to inject into `list`. - * @returns {void} - * Nothing. - */ -function splice(list, start, remove, items) { - const end = list.length - let chunkStart = 0 - /** @type {Array<unknown>} */ - let parameters - - // Make start between zero and `end` (included). - if (start < 0) { - start = -start > end ? 0 : end + start - } else { - start = start > end ? end : start - } - remove = remove > 0 ? remove : 0 - - // No need to chunk the items if there’s only a couple (10k) items. - if (items.length < 10000) { - parameters = Array.from(items) - parameters.unshift(start, remove) - // @ts-expect-error Hush, it’s fine. - list.splice(...parameters) - } else { - // Delete `remove` items starting from `start` - if (remove) list.splice(start, remove) - - // Insert the items in chunks to not cause stack overflows. - while (chunkStart < items.length) { - parameters = items.slice(chunkStart, chunkStart + 10000) - parameters.unshift(start, 0) - // @ts-expect-error Hush, it’s fine. - list.splice(...parameters) - chunkStart += 10000 - start += 10000 - } - } -} - -/** - * Append `items` (an array) at the end of `list` (another array). - * When `list` was empty, returns `items` instead. - * - * This prevents a potentially expensive operation when `list` is empty, - * and adds items in batches to prevent V8 from hanging. - * - * @template {unknown} T - * Item type. - * @param {Array<T>} list - * List to operate on. - * @param {Array<T>} items - * Items to add to `list`. - * @returns {Array<T>} - * Either `list` or `items`. - */ -function push(list, items) { - if (list.length > 0) { - splice(list, list.length, 0, items) - return list - } - return items -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-combine-extensions/index.js -/** - * @typedef {import('micromark-util-types').Extension} Extension - * @typedef {import('micromark-util-types').Handles} Handles - * @typedef {import('micromark-util-types').HtmlExtension} HtmlExtension - * @typedef {import('micromark-util-types').NormalizedExtension} NormalizedExtension - */ - - - -const micromark_util_combine_extensions_hasOwnProperty = {}.hasOwnProperty - -/** - * Combine multiple syntax extensions into one. - * - * @param {Array<Extension>} extensions - * List of syntax extensions. - * @returns {NormalizedExtension} - * A single combined extension. - */ -function combineExtensions(extensions) { - /** @type {NormalizedExtension} */ - const all = {} - let index = -1 - - while (++index < extensions.length) { - syntaxExtension(all, extensions[index]) - } - - return all -} - -/** - * Merge `extension` into `all`. - * - * @param {NormalizedExtension} all - * Extension to merge into. - * @param {Extension} extension - * Extension to merge. - * @returns {void} - */ -function syntaxExtension(all, extension) { - /** @type {keyof Extension} */ - let hook - - for (hook in extension) { - const maybe = micromark_util_combine_extensions_hasOwnProperty.call(all, hook) ? all[hook] : undefined - /** @type {Record<string, unknown>} */ - const left = maybe || (all[hook] = {}) - /** @type {Record<string, unknown> | undefined} */ - const right = extension[hook] - /** @type {string} */ - let code - - if (right) { - for (code in right) { - if (!micromark_util_combine_extensions_hasOwnProperty.call(left, code)) left[code] = [] - const value = right[code] - constructs( - // @ts-expect-error Looks like a list. - left[code], - Array.isArray(value) ? value : value ? [value] : [] - ) - } - } - } -} - -/** - * Merge `list` into `existing` (both lists of constructs). - * Mutates `existing`. - * - * @param {Array<unknown>} existing - * @param {Array<unknown>} list - * @returns {void} - */ -function constructs(existing, list) { - let index = -1 - /** @type {Array<unknown>} */ - const before = [] - - while (++index < list.length) { - // @ts-expect-error Looks like an object. - ;(list[index].add === 'after' ? existing : before).push(list[index]) - } - - splice(existing, 0, 0, before) -} - -/** - * Combine multiple HTML extensions into one. - * - * @param {Array<HtmlExtension>} htmlExtensions - * List of HTML extensions. - * @returns {HtmlExtension} - * A single combined HTML extension. - */ -function combineHtmlExtensions(htmlExtensions) { - /** @type {HtmlExtension} */ - const handlers = {} - let index = -1 - - while (++index < htmlExtensions.length) { - htmlExtension(handlers, htmlExtensions[index]) - } - - return handlers -} - -/** - * Merge `extension` into `all`. - * - * @param {HtmlExtension} all - * Extension to merge into. - * @param {HtmlExtension} extension - * Extension to merge. - * @returns {void} - */ -function htmlExtension(all, extension) { - /** @type {keyof HtmlExtension} */ - let hook - - for (hook in extension) { - const maybe = micromark_util_combine_extensions_hasOwnProperty.call(all, hook) ? all[hook] : undefined - const left = maybe || (all[hook] = {}) - const right = extension[hook] - /** @type {keyof Handles} */ - let type - - if (right) { - for (type in right) { - // @ts-expect-error assume document vs regular handler are managed correctly. - left[type] = right[type] - } - } - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-character/lib/unicode-punctuation-regex.js -// This module is generated by `script/`. -// -// CommonMark handles attention (emphasis, strong) markers based on what comes -// before or after them. -// One such difference is if those characters are Unicode punctuation. -// This script is generated from the Unicode data. - -/** - * Regular expression that matches a unicode punctuation character. - */ -const unicodePunctuationRegex = - /[!-\/:-@\[-`\{-~\xA1\xA7\xAB\xB6\xB7\xBB\xBF\u037E\u0387\u055A-\u055F\u0589\u058A\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0609\u060A\u060C\u060D\u061B\u061D-\u061F\u066A-\u066D\u06D4\u0700-\u070D\u07F7-\u07F9\u0830-\u083E\u085E\u0964\u0965\u0970\u09FD\u0A76\u0AF0\u0C77\u0C84\u0DF4\u0E4F\u0E5A\u0E5B\u0F04-\u0F12\u0F14\u0F3A-\u0F3D\u0F85\u0FD0-\u0FD4\u0FD9\u0FDA\u104A-\u104F\u10FB\u1360-\u1368\u1400\u166E\u169B\u169C\u16EB-\u16ED\u1735\u1736\u17D4-\u17D6\u17D8-\u17DA\u1800-\u180A\u1944\u1945\u1A1E\u1A1F\u1AA0-\u1AA6\u1AA8-\u1AAD\u1B5A-\u1B60\u1B7D\u1B7E\u1BFC-\u1BFF\u1C3B-\u1C3F\u1C7E\u1C7F\u1CC0-\u1CC7\u1CD3\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2053-\u205E\u207D\u207E\u208D\u208E\u2308-\u230B\u2329\u232A\u2768-\u2775\u27C5\u27C6\u27E6-\u27EF\u2983-\u2998\u29D8-\u29DB\u29FC\u29FD\u2CF9-\u2CFC\u2CFE\u2CFF\u2D70\u2E00-\u2E2E\u2E30-\u2E4F\u2E52-\u2E5D\u3001-\u3003\u3008-\u3011\u3014-\u301F\u3030\u303D\u30A0\u30FB\uA4FE\uA4FF\uA60D-\uA60F\uA673\uA67E\uA6F2-\uA6F7\uA874-\uA877\uA8CE\uA8CF\uA8F8-\uA8FA\uA8FC\uA92E\uA92F\uA95F\uA9C1-\uA9CD\uA9DE\uA9DF\uAA5C-\uAA5F\uAADE\uAADF\uAAF0\uAAF1\uABEB\uFD3E\uFD3F\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE61\uFE63\uFE68\uFE6A\uFE6B\uFF01-\uFF03\uFF05-\uFF0A\uFF0C-\uFF0F\uFF1A\uFF1B\uFF1F\uFF20\uFF3B-\uFF3D\uFF3F\uFF5B\uFF5D\uFF5F-\uFF65]/ - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-character/index.js -/** - * @typedef {import('micromark-util-types').Code} Code - */ - - - -/** - * Check whether the character code represents an ASCII alpha (`a` through `z`, - * case insensitive). - * - * An **ASCII alpha** is an ASCII upper alpha or ASCII lower alpha. - * - * An **ASCII upper alpha** is a character in the inclusive range U+0041 (`A`) - * to U+005A (`Z`). - * - * An **ASCII lower alpha** is a character in the inclusive range U+0061 (`a`) - * to U+007A (`z`). - * - * @param code - * Code. - * @returns - * Whether it matches. - */ -const asciiAlpha = regexCheck(/[A-Za-z]/) - -/** - * Check whether the character code represents an ASCII alphanumeric (`a` - * through `z`, case insensitive, or `0` through `9`). - * - * An **ASCII alphanumeric** is an ASCII digit (see `asciiDigit`) or ASCII alpha - * (see `asciiAlpha`). - * - * @param code - * Code. - * @returns - * Whether it matches. - */ -const asciiAlphanumeric = regexCheck(/[\dA-Za-z]/) - -/** - * Check whether the character code represents an ASCII atext. - * - * atext is an ASCII alphanumeric (see `asciiAlphanumeric`), or a character in - * the inclusive ranges U+0023 NUMBER SIGN (`#`) to U+0027 APOSTROPHE (`'`), - * U+002A ASTERISK (`*`), U+002B PLUS SIGN (`+`), U+002D DASH (`-`), U+002F - * SLASH (`/`), U+003D EQUALS TO (`=`), U+003F QUESTION MARK (`?`), U+005E - * CARET (`^`) to U+0060 GRAVE ACCENT (`` ` ``), or U+007B LEFT CURLY BRACE - * (`{`) to U+007E TILDE (`~`). - * - * See: - * **\[RFC5322]**: - * [Internet Message Format](https://tools.ietf.org/html/rfc5322). - * P. Resnick. - * IETF. - * - * @param code - * Code. - * @returns - * Whether it matches. - */ -const asciiAtext = regexCheck(/[#-'*+\--9=?A-Z^-~]/) - -/** - * Check whether a character code is an ASCII control character. - * - * An **ASCII control** is a character in the inclusive range U+0000 NULL (NUL) - * to U+001F (US), or U+007F (DEL). - * - * @param {Code} code - * Code. - * @returns {boolean} - * Whether it matches. - */ -function asciiControl(code) { - return ( - // Special whitespace codes (which have negative values), C0 and Control - // character DEL - code !== null && (code < 32 || code === 127) - ) -} - -/** - * Check whether the character code represents an ASCII digit (`0` through `9`). - * - * An **ASCII digit** is a character in the inclusive range U+0030 (`0`) to - * U+0039 (`9`). - * - * @param code - * Code. - * @returns - * Whether it matches. - */ -const asciiDigit = regexCheck(/\d/) - -/** - * Check whether the character code represents an ASCII hex digit (`a` through - * `f`, case insensitive, or `0` through `9`). - * - * An **ASCII hex digit** is an ASCII digit (see `asciiDigit`), ASCII upper hex - * digit, or an ASCII lower hex digit. - * - * An **ASCII upper hex digit** is a character in the inclusive range U+0041 - * (`A`) to U+0046 (`F`). - * - * An **ASCII lower hex digit** is a character in the inclusive range U+0061 - * (`a`) to U+0066 (`f`). - * - * @param code - * Code. - * @returns - * Whether it matches. - */ -const asciiHexDigit = regexCheck(/[\dA-Fa-f]/) - -/** - * Check whether the character code represents ASCII punctuation. - * - * An **ASCII punctuation** is a character in the inclusive ranges U+0021 - * EXCLAMATION MARK (`!`) to U+002F SLASH (`/`), U+003A COLON (`:`) to U+0040 AT - * SIGN (`@`), U+005B LEFT SQUARE BRACKET (`[`) to U+0060 GRAVE ACCENT - * (`` ` ``), or U+007B LEFT CURLY BRACE (`{`) to U+007E TILDE (`~`). - * - * @param code - * Code. - * @returns - * Whether it matches. - */ -const asciiPunctuation = regexCheck(/[!-/:-@[-`{-~]/) - -/** - * Check whether a character code is a markdown line ending. - * - * A **markdown line ending** is the virtual characters M-0003 CARRIAGE RETURN - * LINE FEED (CRLF), M-0004 LINE FEED (LF) and M-0005 CARRIAGE RETURN (CR). - * - * In micromark, the actual character U+000A LINE FEED (LF) and U+000D CARRIAGE - * RETURN (CR) are replaced by these virtual characters depending on whether - * they occurred together. - * - * @param {Code} code - * Code. - * @returns {boolean} - * Whether it matches. - */ -function markdownLineEnding(code) { - return code !== null && code < -2 -} - -/** - * Check whether a character code is a markdown line ending (see - * `markdownLineEnding`) or markdown space (see `markdownSpace`). - * - * @param {Code} code - * Code. - * @returns {boolean} - * Whether it matches. - */ -function markdownLineEndingOrSpace(code) { - return code !== null && (code < 0 || code === 32) -} - -/** - * Check whether a character code is a markdown space. - * - * A **markdown space** is the concrete character U+0020 SPACE (SP) and the - * virtual characters M-0001 VIRTUAL SPACE (VS) and M-0002 HORIZONTAL TAB (HT). - * - * In micromark, the actual character U+0009 CHARACTER TABULATION (HT) is - * replaced by one M-0002 HORIZONTAL TAB (HT) and between 0 and 3 M-0001 VIRTUAL - * SPACE (VS) characters, depending on the column at which the tab occurred. - * - * @param {Code} code - * Code. - * @returns {boolean} - * Whether it matches. - */ -function markdownSpace(code) { - return code === -2 || code === -1 || code === 32 -} - -// Size note: removing ASCII from the regex and using `asciiPunctuation` here -// In fact adds to the bundle size. -/** - * Check whether the character code represents Unicode punctuation. - * - * A **Unicode punctuation** is a character in the Unicode `Pc` (Punctuation, - * Connector), `Pd` (Punctuation, Dash), `Pe` (Punctuation, Close), `Pf` - * (Punctuation, Final quote), `Pi` (Punctuation, Initial quote), `Po` - * (Punctuation, Other), or `Ps` (Punctuation, Open) categories, or an ASCII - * punctuation (see `asciiPunctuation`). - * - * See: - * **\[UNICODE]**: - * [The Unicode Standard](https://www.unicode.org/versions/). - * Unicode Consortium. - * - * @param code - * Code. - * @returns - * Whether it matches. - */ -const unicodePunctuation = regexCheck(unicodePunctuationRegex) - -/** - * Check whether the character code represents Unicode whitespace. - * - * Note that this does handle micromark specific markdown whitespace characters. - * See `markdownLineEndingOrSpace` to check that. - * - * A **Unicode whitespace** is a character in the Unicode `Zs` (Separator, - * Space) category, or U+0009 CHARACTER TABULATION (HT), U+000A LINE FEED (LF), - * U+000C (FF), or U+000D CARRIAGE RETURN (CR) (**\[UNICODE]**). - * - * See: - * **\[UNICODE]**: - * [The Unicode Standard](https://www.unicode.org/versions/). - * Unicode Consortium. - * - * @param code - * Code. - * @returns - * Whether it matches. - */ -const unicodeWhitespace = regexCheck(/\s/) - -/** - * Create a code check from a regex. - * - * @param {RegExp} regex - * @returns {(code: Code) => boolean} - */ -function regexCheck(regex) { - return check - - /** - * Check whether a code matches the bound regex. - * - * @param {Code} code - * Character code. - * @returns {boolean} - * Whether the character code matches the bound regex. - */ - function check(code) { - return code !== null && regex.test(String.fromCharCode(code)) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-space/index.js -/** - * @typedef {import('micromark-util-types').Effects} Effects - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenType} TokenType - */ - - - -// To do: implement `spaceOrTab`, `spaceOrTabMinMax`, `spaceOrTabWithOptions`. - -/** - * Parse spaces and tabs. - * - * There is no `nok` parameter: - * - * * spaces in markdown are often optional, in which case this factory can be - * used and `ok` will be switched to whether spaces were found or not - * * one line ending or space can be detected with `markdownSpace(code)` right - * before using `factorySpace` - * - * ###### Examples - * - * Where `␉` represents a tab (plus how much it expands) and `␠` represents a - * single space. - * - * ```markdown - * ␉ - * ␠␠␠␠ - * ␉␠ - * ``` - * - * @param {Effects} effects - * Context. - * @param {State} ok - * State switched to when successful. - * @param {TokenType} type - * Type (`' \t'`). - * @param {number | undefined} [max=Infinity] - * Max (exclusive). - * @returns - * Start state. - */ -function factorySpace(effects, ok, type, max) { - const limit = max ? max - 1 : Number.POSITIVE_INFINITY - let size = 0 - return start - - /** @type {State} */ - function start(code) { - if (markdownSpace(code)) { - effects.enter(type) - return prefix(code) - } - return ok(code) - } - - /** @type {State} */ - function prefix(code) { - if (markdownSpace(code) && size++ < limit) { - effects.consume(code) - return prefix - } - effects.exit(type) - return ok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/content.js -/** - * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct - * @typedef {import('micromark-util-types').Initializer} Initializer - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - */ - - - -/** @type {InitialConstruct} */ -const content = { - tokenize: initializeContent -} - -/** - * @this {TokenizeContext} - * @type {Initializer} - */ -function initializeContent(effects) { - const contentStart = effects.attempt( - this.parser.constructs.contentInitial, - afterContentStartConstruct, - paragraphInitial - ) - /** @type {Token} */ - let previous - return contentStart - - /** @type {State} */ - function afterContentStartConstruct(code) { - if (code === null) { - effects.consume(code) - return - } - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return factorySpace(effects, contentStart, 'linePrefix') - } - - /** @type {State} */ - function paragraphInitial(code) { - effects.enter('paragraph') - return lineStart(code) - } - - /** @type {State} */ - function lineStart(code) { - const token = effects.enter('chunkText', { - contentType: 'text', - previous - }) - if (previous) { - previous.next = token - } - previous = token - return data(code) - } - - /** @type {State} */ - function data(code) { - if (code === null) { - effects.exit('chunkText') - effects.exit('paragraph') - effects.consume(code) - return - } - if (markdownLineEnding(code)) { - effects.consume(code) - effects.exit('chunkText') - return lineStart - } - - // Data. - effects.consume(code) - return data - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/document.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').ContainerState} ContainerState - * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct - * @typedef {import('micromark-util-types').Initializer} Initializer - * @typedef {import('micromark-util-types').Point} Point - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - -/** - * @typedef {[Construct, ContainerState]} StackItem - */ - - - - -/** @type {InitialConstruct} */ -const document_document = { - tokenize: initializeDocument -} - -/** @type {Construct} */ -const containerConstruct = { - tokenize: tokenizeContainer -} - -/** - * @this {TokenizeContext} - * @type {Initializer} - */ -function initializeDocument(effects) { - const self = this - /** @type {Array<StackItem>} */ - const stack = [] - let continued = 0 - /** @type {TokenizeContext | undefined} */ - let childFlow - /** @type {Token | undefined} */ - let childToken - /** @type {number} */ - let lineStartOffset - return start - - /** @type {State} */ - function start(code) { - // First we iterate through the open blocks, starting with the root - // document, and descending through last children down to the last open - // block. - // Each block imposes a condition that the line must satisfy if the block is - // to remain open. - // For example, a block quote requires a `>` character. - // A paragraph requires a non-blank line. - // In this phase we may match all or just some of the open blocks. - // But we cannot close unmatched blocks yet, because we may have a lazy - // continuation line. - if (continued < stack.length) { - const item = stack[continued] - self.containerState = item[1] - return effects.attempt( - item[0].continuation, - documentContinue, - checkNewContainers - )(code) - } - - // Done. - return checkNewContainers(code) - } - - /** @type {State} */ - function documentContinue(code) { - continued++ - - // Note: this field is called `_closeFlow` but it also closes containers. - // Perhaps a good idea to rename it but it’s already used in the wild by - // extensions. - if (self.containerState._closeFlow) { - self.containerState._closeFlow = undefined - if (childFlow) { - closeFlow() - } - - // Note: this algorithm for moving events around is similar to the - // algorithm when dealing with lazy lines in `writeToChild`. - const indexBeforeExits = self.events.length - let indexBeforeFlow = indexBeforeExits - /** @type {Point | undefined} */ - let point - - // Find the flow chunk. - while (indexBeforeFlow--) { - if ( - self.events[indexBeforeFlow][0] === 'exit' && - self.events[indexBeforeFlow][1].type === 'chunkFlow' - ) { - point = self.events[indexBeforeFlow][1].end - break - } - } - exitContainers(continued) - - // Fix positions. - let index = indexBeforeExits - while (index < self.events.length) { - self.events[index][1].end = Object.assign({}, point) - index++ - } - - // Inject the exits earlier (they’re still also at the end). - splice( - self.events, - indexBeforeFlow + 1, - 0, - self.events.slice(indexBeforeExits) - ) - - // Discard the duplicate exits. - self.events.length = index - return checkNewContainers(code) - } - return start(code) - } - - /** @type {State} */ - function checkNewContainers(code) { - // Next, after consuming the continuation markers for existing blocks, we - // look for new block starts (e.g. `>` for a block quote). - // If we encounter a new block start, we close any blocks unmatched in - // step 1 before creating the new block as a child of the last matched - // block. - if (continued === stack.length) { - // No need to `check` whether there’s a container, of `exitContainers` - // would be moot. - // We can instead immediately `attempt` to parse one. - if (!childFlow) { - return documentContinued(code) - } - - // If we have concrete content, such as block HTML or fenced code, - // we can’t have containers “pierce” into them, so we can immediately - // start. - if (childFlow.currentConstruct && childFlow.currentConstruct.concrete) { - return flowStart(code) - } - - // If we do have flow, it could still be a blank line, - // but we’d be interrupting it w/ a new container if there’s a current - // construct. - // To do: next major: remove `_gfmTableDynamicInterruptHack` (no longer - // needed in micromark-extension-gfm-table@1.0.6). - self.interrupt = Boolean( - childFlow.currentConstruct && !childFlow._gfmTableDynamicInterruptHack - ) - } - - // Check if there is a new container. - self.containerState = {} - return effects.check( - containerConstruct, - thereIsANewContainer, - thereIsNoNewContainer - )(code) - } - - /** @type {State} */ - function thereIsANewContainer(code) { - if (childFlow) closeFlow() - exitContainers(continued) - return documentContinued(code) - } - - /** @type {State} */ - function thereIsNoNewContainer(code) { - self.parser.lazy[self.now().line] = continued !== stack.length - lineStartOffset = self.now().offset - return flowStart(code) - } - - /** @type {State} */ - function documentContinued(code) { - // Try new containers. - self.containerState = {} - return effects.attempt( - containerConstruct, - containerContinue, - flowStart - )(code) - } - - /** @type {State} */ - function containerContinue(code) { - continued++ - stack.push([self.currentConstruct, self.containerState]) - // Try another. - return documentContinued(code) - } - - /** @type {State} */ - function flowStart(code) { - if (code === null) { - if (childFlow) closeFlow() - exitContainers(0) - effects.consume(code) - return - } - childFlow = childFlow || self.parser.flow(self.now()) - effects.enter('chunkFlow', { - contentType: 'flow', - previous: childToken, - _tokenizer: childFlow - }) - return flowContinue(code) - } - - /** @type {State} */ - function flowContinue(code) { - if (code === null) { - writeToChild(effects.exit('chunkFlow'), true) - exitContainers(0) - effects.consume(code) - return - } - if (markdownLineEnding(code)) { - effects.consume(code) - writeToChild(effects.exit('chunkFlow')) - // Get ready for the next line. - continued = 0 - self.interrupt = undefined - return start - } - effects.consume(code) - return flowContinue - } - - /** - * @param {Token} token - * @param {boolean | undefined} [eof] - * @returns {void} - */ - function writeToChild(token, eof) { - const stream = self.sliceStream(token) - if (eof) stream.push(null) - token.previous = childToken - if (childToken) childToken.next = token - childToken = token - childFlow.defineSkip(token.start) - childFlow.write(stream) - - // Alright, so we just added a lazy line: - // - // ```markdown - // > a - // b. - // - // Or: - // - // > ~~~c - // d - // - // Or: - // - // > | e | - // f - // ``` - // - // The construct in the second example (fenced code) does not accept lazy - // lines, so it marked itself as done at the end of its first line, and - // then the content construct parses `d`. - // Most constructs in markdown match on the first line: if the first line - // forms a construct, a non-lazy line can’t “unmake” it. - // - // The construct in the third example is potentially a GFM table, and - // those are *weird*. - // It *could* be a table, from the first line, if the following line - // matches a condition. - // In this case, that second line is lazy, which “unmakes” the first line - // and turns the whole into one content block. - // - // We’ve now parsed the non-lazy and the lazy line, and can figure out - // whether the lazy line started a new flow block. - // If it did, we exit the current containers between the two flow blocks. - if (self.parser.lazy[token.start.line]) { - let index = childFlow.events.length - while (index--) { - if ( - // The token starts before the line ending… - childFlow.events[index][1].start.offset < lineStartOffset && - // …and either is not ended yet… - (!childFlow.events[index][1].end || - // …or ends after it. - childFlow.events[index][1].end.offset > lineStartOffset) - ) { - // Exit: there’s still something open, which means it’s a lazy line - // part of something. - return - } - } - - // Note: this algorithm for moving events around is similar to the - // algorithm when closing flow in `documentContinue`. - const indexBeforeExits = self.events.length - let indexBeforeFlow = indexBeforeExits - /** @type {boolean | undefined} */ - let seen - /** @type {Point | undefined} */ - let point - - // Find the previous chunk (the one before the lazy line). - while (indexBeforeFlow--) { - if ( - self.events[indexBeforeFlow][0] === 'exit' && - self.events[indexBeforeFlow][1].type === 'chunkFlow' - ) { - if (seen) { - point = self.events[indexBeforeFlow][1].end - break - } - seen = true - } - } - exitContainers(continued) - - // Fix positions. - index = indexBeforeExits - while (index < self.events.length) { - self.events[index][1].end = Object.assign({}, point) - index++ - } - - // Inject the exits earlier (they’re still also at the end). - splice( - self.events, - indexBeforeFlow + 1, - 0, - self.events.slice(indexBeforeExits) - ) - - // Discard the duplicate exits. - self.events.length = index - } - } - - /** - * @param {number} size - * @returns {void} - */ - function exitContainers(size) { - let index = stack.length - - // Exit open containers. - while (index-- > size) { - const entry = stack[index] - self.containerState = entry[1] - entry[0].exit.call(self, effects) - } - stack.length = size - } - function closeFlow() { - childFlow.write([null]) - childToken = undefined - childFlow = undefined - self.containerState._closeFlow = undefined - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeContainer(effects, ok, nok) { - // Always populated by defaults. - - return factorySpace( - effects, - effects.attempt(this.parser.constructs.document, ok, nok), - 'linePrefix', - this.parser.constructs.disable.null.includes('codeIndented') ? undefined : 4 - ) -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/blank-line.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const blankLine = { - tokenize: tokenizeBlankLine, - partial: true -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeBlankLine(effects, ok, nok) { - return start - - /** - * Start of blank line. - * - * > 👉 **Note**: `␠` represents a space character. - * - * ```markdown - * > | ␠␠␊ - * ^ - * > | ␊ - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - return markdownSpace(code) - ? factorySpace(effects, after, 'linePrefix')(code) - : after(code) - } - - /** - * At eof/eol, after optional whitespace. - * - * > 👉 **Note**: `␠` represents a space character. - * - * ```markdown - * > | ␠␠␊ - * ^ - * > | ␊ - * ^ - * ``` - * - * @type {State} - */ - function after(code) { - return code === null || markdownLineEnding(code) ? ok(code) : nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/micromark-util-subtokenize/node_modules/micromark-util-chunked/index.js -/** - * Like `Array#splice`, but smarter for giant arrays. - * - * `Array#splice` takes all items to be inserted as individual argument which - * causes a stack overflow in V8 when trying to insert 100k items for instance. - * - * Otherwise, this does not return the removed items, and takes `items` as an - * array instead of rest parameters. - * - * @template {unknown} T - * Item type. - * @param {Array<T>} list - * List to operate on. - * @param {number} start - * Index to remove/insert at (can be negative). - * @param {number} remove - * Number of items to remove. - * @param {Array<T>} items - * Items to inject into `list`. - * @returns {void} - * Nothing. - */ -function micromark_util_chunked_splice(list, start, remove, items) { - const end = list.length - let chunkStart = 0 - /** @type {Array<unknown>} */ - let parameters - - // Make start between zero and `end` (included). - if (start < 0) { - start = -start > end ? 0 : end + start - } else { - start = start > end ? end : start - } - remove = remove > 0 ? remove : 0 - - // No need to chunk the items if there’s only a couple (10k) items. - if (items.length < 10000) { - parameters = Array.from(items) - parameters.unshift(start, remove) - // @ts-expect-error Hush, it’s fine. - list.splice(...parameters) - } else { - // Delete `remove` items starting from `start` - if (remove) list.splice(start, remove) - - // Insert the items in chunks to not cause stack overflows. - while (chunkStart < items.length) { - parameters = items.slice(chunkStart, chunkStart + 10000) - parameters.unshift(start, 0) - // @ts-expect-error Hush, it’s fine. - list.splice(...parameters) - chunkStart += 10000 - start += 10000 - } - } -} - -/** - * Append `items` (an array) at the end of `list` (another array). - * When `list` was empty, returns `items` instead. - * - * This prevents a potentially expensive operation when `list` is empty, - * and adds items in batches to prevent V8 from hanging. - * - * @template {unknown} T - * Item type. - * @param {Array<T>} list - * List to operate on. - * @param {Array<T>} items - * Items to add to `list`. - * @returns {Array<T>} - * Either `list` or `items`. - */ -function micromark_util_chunked_push(list, items) { - if (list.length > 0) { - micromark_util_chunked_splice(list, list.length, 0, items) - return list - } - return items -} - -;// CONCATENATED MODULE: ./node_modules/micromark-util-subtokenize/index.js -/** - * @typedef {import('micromark-util-types').Chunk} Chunk - * @typedef {import('micromark-util-types').Event} Event - * @typedef {import('micromark-util-types').Token} Token - */ - - -/** - * Tokenize subcontent. - * - * @param {Array<Event>} events - * List of events. - * @returns {boolean} - * Whether subtokens were found. - */ -function subtokenize(events) { - /** @type {Record<string, number>} */ - const jumps = {} - let index = -1 - /** @type {Event} */ - let event - /** @type {number | undefined} */ - let lineIndex - /** @type {number} */ - let otherIndex - /** @type {Event} */ - let otherEvent - /** @type {Array<Event>} */ - let parameters - /** @type {Array<Event>} */ - let subevents - /** @type {boolean | undefined} */ - let more - while (++index < events.length) { - while (index in jumps) { - index = jumps[index] - } - event = events[index] - - // Add a hook for the GFM tasklist extension, which needs to know if text - // is in the first content of a list item. - if ( - index && - event[1].type === 'chunkFlow' && - events[index - 1][1].type === 'listItemPrefix' - ) { - subevents = event[1]._tokenizer.events - otherIndex = 0 - if ( - otherIndex < subevents.length && - subevents[otherIndex][1].type === 'lineEndingBlank' - ) { - otherIndex += 2 - } - if ( - otherIndex < subevents.length && - subevents[otherIndex][1].type === 'content' - ) { - while (++otherIndex < subevents.length) { - if (subevents[otherIndex][1].type === 'content') { - break - } - if (subevents[otherIndex][1].type === 'chunkText') { - subevents[otherIndex][1]._isInFirstContentOfListItem = true - otherIndex++ - } - } - } - } - - // Enter. - if (event[0] === 'enter') { - if (event[1].contentType) { - Object.assign(jumps, subcontent(events, index)) - index = jumps[index] - more = true - } - } - // Exit. - else if (event[1]._container) { - otherIndex = index - lineIndex = undefined - while (otherIndex--) { - otherEvent = events[otherIndex] - if ( - otherEvent[1].type === 'lineEnding' || - otherEvent[1].type === 'lineEndingBlank' - ) { - if (otherEvent[0] === 'enter') { - if (lineIndex) { - events[lineIndex][1].type = 'lineEndingBlank' - } - otherEvent[1].type = 'lineEnding' - lineIndex = otherIndex - } - } else { - break - } - } - if (lineIndex) { - // Fix position. - event[1].end = Object.assign({}, events[lineIndex][1].start) - - // Switch container exit w/ line endings. - parameters = events.slice(lineIndex, index) - parameters.unshift(event) - micromark_util_chunked_splice(events, lineIndex, index - lineIndex + 1, parameters) - } - } - } - return !more -} - -/** - * Tokenize embedded tokens. - * - * @param {Array<Event>} events - * @param {number} eventIndex - * @returns {Record<string, number>} - */ -function subcontent(events, eventIndex) { - const token = events[eventIndex][1] - const context = events[eventIndex][2] - let startPosition = eventIndex - 1 - /** @type {Array<number>} */ - const startPositions = [] - const tokenizer = - token._tokenizer || context.parser[token.contentType](token.start) - const childEvents = tokenizer.events - /** @type {Array<[number, number]>} */ - const jumps = [] - /** @type {Record<string, number>} */ - const gaps = {} - /** @type {Array<Chunk>} */ - let stream - /** @type {Token | undefined} */ - let previous - let index = -1 - /** @type {Token | undefined} */ - let current = token - let adjust = 0 - let start = 0 - const breaks = [start] - - // Loop forward through the linked tokens to pass them in order to the - // subtokenizer. - while (current) { - // Find the position of the event for this token. - while (events[++startPosition][1] !== current) { - // Empty. - } - startPositions.push(startPosition) - if (!current._tokenizer) { - stream = context.sliceStream(current) - if (!current.next) { - stream.push(null) - } - if (previous) { - tokenizer.defineSkip(current.start) - } - if (current._isInFirstContentOfListItem) { - tokenizer._gfmTasklistFirstContentOfListItem = true - } - tokenizer.write(stream) - if (current._isInFirstContentOfListItem) { - tokenizer._gfmTasklistFirstContentOfListItem = undefined - } - } - - // Unravel the next token. - previous = current - current = current.next - } - - // Now, loop back through all events (and linked tokens), to figure out which - // parts belong where. - current = token - while (++index < childEvents.length) { - if ( - // Find a void token that includes a break. - childEvents[index][0] === 'exit' && - childEvents[index - 1][0] === 'enter' && - childEvents[index][1].type === childEvents[index - 1][1].type && - childEvents[index][1].start.line !== childEvents[index][1].end.line - ) { - start = index + 1 - breaks.push(start) - // Help GC. - current._tokenizer = undefined - current.previous = undefined - current = current.next - } - } - - // Help GC. - tokenizer.events = [] - - // If there’s one more token (which is the cases for lines that end in an - // EOF), that’s perfect: the last point we found starts it. - // If there isn’t then make sure any remaining content is added to it. - if (current) { - // Help GC. - current._tokenizer = undefined - current.previous = undefined - } else { - breaks.pop() - } - - // Now splice the events from the subtokenizer into the current events, - // moving back to front so that splice indices aren’t affected. - index = breaks.length - while (index--) { - const slice = childEvents.slice(breaks[index], breaks[index + 1]) - const start = startPositions.pop() - jumps.unshift([start, start + slice.length - 1]) - micromark_util_chunked_splice(events, start, 2, slice) - } - index = -1 - while (++index < jumps.length) { - gaps[adjust + jumps[index][0]] = adjust + jumps[index][1] - adjust += jumps[index][1] - jumps[index][0] - 1 - } - return gaps -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/content.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - - -/** - * No name because it must not be turned off. - * @type {Construct} - */ -const content_content = { - tokenize: tokenizeContent, - resolve: resolveContent -} - -/** @type {Construct} */ -const continuationConstruct = { - tokenize: tokenizeContinuation, - partial: true -} - -/** - * Content is transparent: it’s parsed right now. That way, definitions are also - * parsed right now: before text in paragraphs (specifically, media) are parsed. - * - * @type {Resolver} - */ -function resolveContent(events) { - subtokenize(events) - return events -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeContent(effects, ok) { - /** @type {Token | undefined} */ - let previous - return chunkStart - - /** - * Before a content chunk. - * - * ```markdown - * > | abc - * ^ - * ``` - * - * @type {State} - */ - function chunkStart(code) { - effects.enter('content') - previous = effects.enter('chunkContent', { - contentType: 'content' - }) - return chunkInside(code) - } - - /** - * In a content chunk. - * - * ```markdown - * > | abc - * ^^^ - * ``` - * - * @type {State} - */ - function chunkInside(code) { - if (code === null) { - return contentEnd(code) - } - - // To do: in `markdown-rs`, each line is parsed on its own, and everything - // is stitched together resolving. - if (markdownLineEnding(code)) { - return effects.check( - continuationConstruct, - contentContinue, - contentEnd - )(code) - } - - // Data. - effects.consume(code) - return chunkInside - } - - /** - * - * - * @type {State} - */ - function contentEnd(code) { - effects.exit('chunkContent') - effects.exit('content') - return ok(code) - } - - /** - * - * - * @type {State} - */ - function contentContinue(code) { - effects.consume(code) - effects.exit('chunkContent') - previous.next = effects.enter('chunkContent', { - contentType: 'content', - previous - }) - previous = previous.next - return chunkInside - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeContinuation(effects, ok, nok) { - const self = this - return startLookahead - - /** - * - * - * @type {State} - */ - function startLookahead(code) { - effects.exit('chunkContent') - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return factorySpace(effects, prefixed, 'linePrefix') - } - - /** - * - * - * @type {State} - */ - function prefixed(code) { - if (code === null || markdownLineEnding(code)) { - return nok(code) - } - - // Always populated by defaults. - - const tail = self.events[self.events.length - 1] - if ( - !self.parser.constructs.disable.null.includes('codeIndented') && - tail && - tail[1].type === 'linePrefix' && - tail[2].sliceSerialize(tail[1], true).length >= 4 - ) { - return ok(code) - } - return effects.interrupt(self.parser.constructs.flow, nok, ok)(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/flow.js -/** - * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct - * @typedef {import('micromark-util-types').Initializer} Initializer - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - */ - - - - -/** @type {InitialConstruct} */ -const flow = { - tokenize: initializeFlow -} - -/** - * @this {TokenizeContext} - * @type {Initializer} - */ -function initializeFlow(effects) { - const self = this - const initial = effects.attempt( - // Try to parse a blank line. - blankLine, - atBlankEnding, - // Try to parse initial flow (essentially, only code). - effects.attempt( - this.parser.constructs.flowInitial, - afterConstruct, - factorySpace( - effects, - effects.attempt( - this.parser.constructs.flow, - afterConstruct, - effects.attempt(content_content, afterConstruct) - ), - 'linePrefix' - ) - ) - ) - return initial - - /** @type {State} */ - function atBlankEnding(code) { - if (code === null) { - effects.consume(code) - return - } - effects.enter('lineEndingBlank') - effects.consume(code) - effects.exit('lineEndingBlank') - self.currentConstruct = undefined - return initial - } - - /** @type {State} */ - function afterConstruct(code) { - if (code === null) { - effects.consume(code) - return - } - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - self.currentConstruct = undefined - return initial - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/initialize/text.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct - * @typedef {import('micromark-util-types').Initializer} Initializer - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - */ - -const resolver = { - resolveAll: createResolver() -} -const string = initializeFactory('string') -const text_text = initializeFactory('text') - -/** - * @param {'string' | 'text'} field - * @returns {InitialConstruct} - */ -function initializeFactory(field) { - return { - tokenize: initializeText, - resolveAll: createResolver( - field === 'text' ? resolveAllLineSuffixes : undefined - ) - } - - /** - * @this {TokenizeContext} - * @type {Initializer} - */ - function initializeText(effects) { - const self = this - const constructs = this.parser.constructs[field] - const text = effects.attempt(constructs, start, notText) - return start - - /** @type {State} */ - function start(code) { - return atBreak(code) ? text(code) : notText(code) - } - - /** @type {State} */ - function notText(code) { - if (code === null) { - effects.consume(code) - return - } - effects.enter('data') - effects.consume(code) - return data - } - - /** @type {State} */ - function data(code) { - if (atBreak(code)) { - effects.exit('data') - return text(code) - } - - // Data. - effects.consume(code) - return data - } - - /** - * @param {Code} code - * @returns {boolean} - */ - function atBreak(code) { - if (code === null) { - return true - } - const list = constructs[code] - let index = -1 - if (list) { - // Always populated by defaults. - - while (++index < list.length) { - const item = list[index] - if (!item.previous || item.previous.call(self, self.previous)) { - return true - } - } - } - return false - } - } -} - -/** - * @param {Resolver | undefined} [extraResolver] - * @returns {Resolver} - */ -function createResolver(extraResolver) { - return resolveAllText - - /** @type {Resolver} */ - function resolveAllText(events, context) { - let index = -1 - /** @type {number | undefined} */ - let enter - - // A rather boring computation (to merge adjacent `data` events) which - // improves mm performance by 29%. - while (++index <= events.length) { - if (enter === undefined) { - if (events[index] && events[index][1].type === 'data') { - enter = index - index++ - } - } else if (!events[index] || events[index][1].type !== 'data') { - // Don’t do anything if there is one data token. - if (index !== enter + 2) { - events[enter][1].end = events[index - 1][1].end - events.splice(enter + 2, index - enter - 2) - index = enter + 2 - } - enter = undefined - } - } - return extraResolver ? extraResolver(events, context) : events - } -} - -/** - * A rather ugly set of instructions which again looks at chunks in the input - * stream. - * The reason to do this here is that it is *much* faster to parse in reverse. - * And that we can’t hook into `null` to split the line suffix before an EOF. - * To do: figure out if we can make this into a clean utility, or even in core. - * As it will be useful for GFMs literal autolink extension (and maybe even - * tables?) - * - * @type {Resolver} - */ -function resolveAllLineSuffixes(events, context) { - let eventIndex = 0 // Skip first. - - while (++eventIndex <= events.length) { - if ( - (eventIndex === events.length || - events[eventIndex][1].type === 'lineEnding') && - events[eventIndex - 1][1].type === 'data' - ) { - const data = events[eventIndex - 1][1] - const chunks = context.sliceStream(data) - let index = chunks.length - let bufferIndex = -1 - let size = 0 - /** @type {boolean | undefined} */ - let tabs - while (index--) { - const chunk = chunks[index] - if (typeof chunk === 'string') { - bufferIndex = chunk.length - while (chunk.charCodeAt(bufferIndex - 1) === 32) { - size++ - bufferIndex-- - } - if (bufferIndex) break - bufferIndex = -1 - } - // Number - else if (chunk === -2) { - tabs = true - size++ - } else if (chunk === -1) { - // Empty - } else { - // Replacement character, exit. - index++ - break - } - } - if (size) { - const token = { - type: - eventIndex === events.length || tabs || size < 2 - ? 'lineSuffix' - : 'hardBreakTrailing', - start: { - line: data.end.line, - column: data.end.column - size, - offset: data.end.offset - size, - _index: data.start._index + index, - _bufferIndex: index - ? bufferIndex - : data.start._bufferIndex + bufferIndex - }, - end: Object.assign({}, data.end) - } - data.end = Object.assign({}, token.start) - if (data.start.offset === data.end.offset) { - Object.assign(data, token) - } else { - events.splice( - eventIndex, - 0, - ['enter', token, context], - ['exit', token, context] - ) - eventIndex += 2 - } - } - eventIndex++ - } - } - return events -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-resolve-all/index.js -/** - * @typedef {import('micromark-util-types').Event} Event - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - */ - -/** - * Call all `resolveAll`s. - * - * @param {Array<{resolveAll?: Resolver | undefined}>} constructs - * List of constructs, optionally with `resolveAll`s. - * @param {Array<Event>} events - * List of events. - * @param {TokenizeContext} context - * Context used by `tokenize`. - * @returns {Array<Event>} - * Changed events. - */ -function resolveAll(constructs, events, context) { - /** @type {Array<Resolver>} */ - const called = [] - let index = -1 - - while (++index < constructs.length) { - const resolve = constructs[index].resolveAll - - if (resolve && !called.includes(resolve)) { - events = resolve(events, context) - called.push(resolve) - } - } - - return events -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/create-tokenizer.js -/** - * @typedef {import('micromark-util-types').Chunk} Chunk - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').ConstructRecord} ConstructRecord - * @typedef {import('micromark-util-types').Effects} Effects - * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct - * @typedef {import('micromark-util-types').ParseContext} ParseContext - * @typedef {import('micromark-util-types').Point} Point - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenType} TokenType - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - */ - -/** - * @callback Restore - * @returns {void} - * - * @typedef Info - * @property {Restore} restore - * @property {number} from - * - * @callback ReturnHandle - * Handle a successful run. - * @param {Construct} construct - * @param {Info} info - * @returns {void} - */ - - - - -/** - * Create a tokenizer. - * Tokenizers deal with one type of data (e.g., containers, flow, text). - * The parser is the object dealing with it all. - * `initialize` works like other constructs, except that only its `tokenize` - * function is used, in which case it doesn’t receive an `ok` or `nok`. - * `from` can be given to set the point before the first character, although - * when further lines are indented, they must be set with `defineSkip`. - * - * @param {ParseContext} parser - * @param {InitialConstruct} initialize - * @param {Omit<Point, '_bufferIndex' | '_index'> | undefined} [from] - * @returns {TokenizeContext} - */ -function createTokenizer(parser, initialize, from) { - /** @type {Point} */ - let point = Object.assign( - from - ? Object.assign({}, from) - : { - line: 1, - column: 1, - offset: 0 - }, - { - _index: 0, - _bufferIndex: -1 - } - ) - /** @type {Record<string, number>} */ - const columnStart = {} - /** @type {Array<Construct>} */ - const resolveAllConstructs = [] - /** @type {Array<Chunk>} */ - let chunks = [] - /** @type {Array<Token>} */ - let stack = [] - /** @type {boolean | undefined} */ - let consumed = true - - /** - * Tools used for tokenizing. - * - * @type {Effects} - */ - const effects = { - consume, - enter, - exit, - attempt: constructFactory(onsuccessfulconstruct), - check: constructFactory(onsuccessfulcheck), - interrupt: constructFactory(onsuccessfulcheck, { - interrupt: true - }) - } - - /** - * State and tools for resolving and serializing. - * - * @type {TokenizeContext} - */ - const context = { - previous: null, - code: null, - containerState: {}, - events: [], - parser, - sliceStream, - sliceSerialize, - now, - defineSkip, - write - } - - /** - * The state function. - * - * @type {State | void} - */ - let state = initialize.tokenize.call(context, effects) - - /** - * Track which character we expect to be consumed, to catch bugs. - * - * @type {Code} - */ - let expectedCode - if (initialize.resolveAll) { - resolveAllConstructs.push(initialize) - } - return context - - /** @type {TokenizeContext['write']} */ - function write(slice) { - chunks = push(chunks, slice) - main() - - // Exit if we’re not done, resolve might change stuff. - if (chunks[chunks.length - 1] !== null) { - return [] - } - addResult(initialize, 0) - - // Otherwise, resolve, and exit. - context.events = resolveAll(resolveAllConstructs, context.events, context) - return context.events - } - - // - // Tools. - // - - /** @type {TokenizeContext['sliceSerialize']} */ - function sliceSerialize(token, expandTabs) { - return serializeChunks(sliceStream(token), expandTabs) - } - - /** @type {TokenizeContext['sliceStream']} */ - function sliceStream(token) { - return sliceChunks(chunks, token) - } - - /** @type {TokenizeContext['now']} */ - function now() { - // This is a hot path, so we clone manually instead of `Object.assign({}, point)` - const {line, column, offset, _index, _bufferIndex} = point - return { - line, - column, - offset, - _index, - _bufferIndex - } - } - - /** @type {TokenizeContext['defineSkip']} */ - function defineSkip(value) { - columnStart[value.line] = value.column - accountForPotentialSkip() - } - - // - // State management. - // - - /** - * Main loop (note that `_index` and `_bufferIndex` in `point` are modified by - * `consume`). - * Here is where we walk through the chunks, which either include strings of - * several characters, or numerical character codes. - * The reason to do this in a loop instead of a call is so the stack can - * drain. - * - * @returns {void} - */ - function main() { - /** @type {number} */ - let chunkIndex - while (point._index < chunks.length) { - const chunk = chunks[point._index] - - // If we’re in a buffer chunk, loop through it. - if (typeof chunk === 'string') { - chunkIndex = point._index - if (point._bufferIndex < 0) { - point._bufferIndex = 0 - } - while ( - point._index === chunkIndex && - point._bufferIndex < chunk.length - ) { - go(chunk.charCodeAt(point._bufferIndex)) - } - } else { - go(chunk) - } - } - } - - /** - * Deal with one code. - * - * @param {Code} code - * @returns {void} - */ - function go(code) { - consumed = undefined - expectedCode = code - state = state(code) - } - - /** @type {Effects['consume']} */ - function consume(code) { - if (markdownLineEnding(code)) { - point.line++ - point.column = 1 - point.offset += code === -3 ? 2 : 1 - accountForPotentialSkip() - } else if (code !== -1) { - point.column++ - point.offset++ - } - - // Not in a string chunk. - if (point._bufferIndex < 0) { - point._index++ - } else { - point._bufferIndex++ - - // At end of string chunk. - // @ts-expect-error Points w/ non-negative `_bufferIndex` reference - // strings. - if (point._bufferIndex === chunks[point._index].length) { - point._bufferIndex = -1 - point._index++ - } - } - - // Expose the previous character. - context.previous = code - - // Mark as consumed. - consumed = true - } - - /** @type {Effects['enter']} */ - function enter(type, fields) { - /** @type {Token} */ - // @ts-expect-error Patch instead of assign required fields to help GC. - const token = fields || {} - token.type = type - token.start = now() - context.events.push(['enter', token, context]) - stack.push(token) - return token - } - - /** @type {Effects['exit']} */ - function exit(type) { - const token = stack.pop() - token.end = now() - context.events.push(['exit', token, context]) - return token - } - - /** - * Use results. - * - * @type {ReturnHandle} - */ - function onsuccessfulconstruct(construct, info) { - addResult(construct, info.from) - } - - /** - * Discard results. - * - * @type {ReturnHandle} - */ - function onsuccessfulcheck(_, info) { - info.restore() - } - - /** - * Factory to attempt/check/interrupt. - * - * @param {ReturnHandle} onreturn - * @param {{interrupt?: boolean | undefined} | undefined} [fields] - */ - function constructFactory(onreturn, fields) { - return hook - - /** - * Handle either an object mapping codes to constructs, a list of - * constructs, or a single construct. - * - * @param {Array<Construct> | Construct | ConstructRecord} constructs - * @param {State} returnState - * @param {State | undefined} [bogusState] - * @returns {State} - */ - function hook(constructs, returnState, bogusState) { - /** @type {Array<Construct>} */ - let listOfConstructs - /** @type {number} */ - let constructIndex - /** @type {Construct} */ - let currentConstruct - /** @type {Info} */ - let info - return Array.isArray(constructs) /* c8 ignore next 1 */ - ? handleListOfConstructs(constructs) - : 'tokenize' in constructs - ? // @ts-expect-error Looks like a construct. - handleListOfConstructs([constructs]) - : handleMapOfConstructs(constructs) - - /** - * Handle a list of construct. - * - * @param {ConstructRecord} map - * @returns {State} - */ - function handleMapOfConstructs(map) { - return start - - /** @type {State} */ - function start(code) { - const def = code !== null && map[code] - const all = code !== null && map.null - const list = [ - // To do: add more extension tests. - /* c8 ignore next 2 */ - ...(Array.isArray(def) ? def : def ? [def] : []), - ...(Array.isArray(all) ? all : all ? [all] : []) - ] - return handleListOfConstructs(list)(code) - } - } - - /** - * Handle a list of construct. - * - * @param {Array<Construct>} list - * @returns {State} - */ - function handleListOfConstructs(list) { - listOfConstructs = list - constructIndex = 0 - if (list.length === 0) { - return bogusState - } - return handleConstruct(list[constructIndex]) - } - - /** - * Handle a single construct. - * - * @param {Construct} construct - * @returns {State} - */ - function handleConstruct(construct) { - return start - - /** @type {State} */ - function start(code) { - // To do: not needed to store if there is no bogus state, probably? - // Currently doesn’t work because `inspect` in document does a check - // w/o a bogus, which doesn’t make sense. But it does seem to help perf - // by not storing. - info = store() - currentConstruct = construct - if (!construct.partial) { - context.currentConstruct = construct - } - - // Always populated by defaults. - - if ( - construct.name && - context.parser.constructs.disable.null.includes(construct.name) - ) { - return nok(code) - } - return construct.tokenize.call( - // If we do have fields, create an object w/ `context` as its - // prototype. - // This allows a “live binding”, which is needed for `interrupt`. - fields ? Object.assign(Object.create(context), fields) : context, - effects, - ok, - nok - )(code) - } - } - - /** @type {State} */ - function ok(code) { - consumed = true - onreturn(currentConstruct, info) - return returnState - } - - /** @type {State} */ - function nok(code) { - consumed = true - info.restore() - if (++constructIndex < listOfConstructs.length) { - return handleConstruct(listOfConstructs[constructIndex]) - } - return bogusState - } - } - } - - /** - * @param {Construct} construct - * @param {number} from - * @returns {void} - */ - function addResult(construct, from) { - if (construct.resolveAll && !resolveAllConstructs.includes(construct)) { - resolveAllConstructs.push(construct) - } - if (construct.resolve) { - splice( - context.events, - from, - context.events.length - from, - construct.resolve(context.events.slice(from), context) - ) - } - if (construct.resolveTo) { - context.events = construct.resolveTo(context.events, context) - } - } - - /** - * Store state. - * - * @returns {Info} - */ - function store() { - const startPoint = now() - const startPrevious = context.previous - const startCurrentConstruct = context.currentConstruct - const startEventsIndex = context.events.length - const startStack = Array.from(stack) - return { - restore, - from: startEventsIndex - } - - /** - * Restore state. - * - * @returns {void} - */ - function restore() { - point = startPoint - context.previous = startPrevious - context.currentConstruct = startCurrentConstruct - context.events.length = startEventsIndex - stack = startStack - accountForPotentialSkip() - } - } - - /** - * Move the current point a bit forward in the line when it’s on a column - * skip. - * - * @returns {void} - */ - function accountForPotentialSkip() { - if (point.line in columnStart && point.column < 2) { - point.column = columnStart[point.line] - point.offset += columnStart[point.line] - 1 - } - } -} - -/** - * Get the chunks from a slice of chunks in the range of a token. - * - * @param {Array<Chunk>} chunks - * @param {Pick<Token, 'end' | 'start'>} token - * @returns {Array<Chunk>} - */ -function sliceChunks(chunks, token) { - const startIndex = token.start._index - const startBufferIndex = token.start._bufferIndex - const endIndex = token.end._index - const endBufferIndex = token.end._bufferIndex - /** @type {Array<Chunk>} */ - let view - if (startIndex === endIndex) { - // @ts-expect-error `_bufferIndex` is used on string chunks. - view = [chunks[startIndex].slice(startBufferIndex, endBufferIndex)] - } else { - view = chunks.slice(startIndex, endIndex) - if (startBufferIndex > -1) { - const head = view[0] - if (typeof head === 'string') { - view[0] = head.slice(startBufferIndex) - } else { - view.shift() - } - } - if (endBufferIndex > 0) { - // @ts-expect-error `_bufferIndex` is used on string chunks. - view.push(chunks[endIndex].slice(0, endBufferIndex)) - } - } - return view -} - -/** - * Get the string value of a slice of chunks. - * - * @param {Array<Chunk>} chunks - * @param {boolean | undefined} [expandTabs=false] - * @returns {string} - */ -function serializeChunks(chunks, expandTabs) { - let index = -1 - /** @type {Array<string>} */ - const result = [] - /** @type {boolean | undefined} */ - let atTab - while (++index < chunks.length) { - const chunk = chunks[index] - /** @type {string} */ - let value - if (typeof chunk === 'string') { - value = chunk - } else - switch (chunk) { - case -5: { - value = '\r' - break - } - case -4: { - value = '\n' - break - } - case -3: { - value = '\r' + '\n' - break - } - case -2: { - value = expandTabs ? ' ' : '\t' - break - } - case -1: { - if (!expandTabs && atTab) continue - value = ' ' - break - } - default: { - // Currently only replacement character. - value = String.fromCharCode(chunk) - } - } - atTab = chunk === -2 - result.push(value) - } - return result.join('') -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/thematic-break.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const thematicBreak = { - name: 'thematicBreak', - tokenize: tokenizeThematicBreak -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeThematicBreak(effects, ok, nok) { - let size = 0 - /** @type {NonNullable<Code>} */ - let marker - return start - - /** - * Start of thematic break. - * - * ```markdown - * > | *** - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('thematicBreak') - // To do: parse indent like `markdown-rs`. - return before(code) - } - - /** - * After optional whitespace, at marker. - * - * ```markdown - * > | *** - * ^ - * ``` - * - * @type {State} - */ - function before(code) { - marker = code - return atBreak(code) - } - - /** - * After something, before something else. - * - * ```markdown - * > | *** - * ^ - * ``` - * - * @type {State} - */ - function atBreak(code) { - if (code === marker) { - effects.enter('thematicBreakSequence') - return sequence(code) - } - if (size >= 3 && (code === null || markdownLineEnding(code))) { - effects.exit('thematicBreak') - return ok(code) - } - return nok(code) - } - - /** - * In sequence. - * - * ```markdown - * > | *** - * ^ - * ``` - * - * @type {State} - */ - function sequence(code) { - if (code === marker) { - effects.consume(code) - size++ - return sequence - } - effects.exit('thematicBreakSequence') - return markdownSpace(code) - ? factorySpace(effects, atBreak, 'whitespace')(code) - : atBreak(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/list.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').ContainerState} ContainerState - * @typedef {import('micromark-util-types').Exiter} Exiter - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - - - - -/** @type {Construct} */ -const list = { - name: 'list', - tokenize: tokenizeListStart, - continuation: { - tokenize: tokenizeListContinuation - }, - exit: tokenizeListEnd -} - -/** @type {Construct} */ -const listItemPrefixWhitespaceConstruct = { - tokenize: tokenizeListItemPrefixWhitespace, - partial: true -} - -/** @type {Construct} */ -const indentConstruct = { - tokenize: tokenizeIndent, - partial: true -} - -// To do: `markdown-rs` parses list items on their own and later stitches them -// together. - -/** - * @type {Tokenizer} - * @this {TokenizeContext} - */ -function tokenizeListStart(effects, ok, nok) { - const self = this - const tail = self.events[self.events.length - 1] - let initialSize = - tail && tail[1].type === 'linePrefix' - ? tail[2].sliceSerialize(tail[1], true).length - : 0 - let size = 0 - return start - - /** @type {State} */ - function start(code) { - const kind = - self.containerState.type || - (code === 42 || code === 43 || code === 45 - ? 'listUnordered' - : 'listOrdered') - if ( - kind === 'listUnordered' - ? !self.containerState.marker || code === self.containerState.marker - : asciiDigit(code) - ) { - if (!self.containerState.type) { - self.containerState.type = kind - effects.enter(kind, { - _container: true - }) - } - if (kind === 'listUnordered') { - effects.enter('listItemPrefix') - return code === 42 || code === 45 - ? effects.check(thematicBreak, nok, atMarker)(code) - : atMarker(code) - } - if (!self.interrupt || code === 49) { - effects.enter('listItemPrefix') - effects.enter('listItemValue') - return inside(code) - } - } - return nok(code) - } - - /** @type {State} */ - function inside(code) { - if (asciiDigit(code) && ++size < 10) { - effects.consume(code) - return inside - } - if ( - (!self.interrupt || size < 2) && - (self.containerState.marker - ? code === self.containerState.marker - : code === 41 || code === 46) - ) { - effects.exit('listItemValue') - return atMarker(code) - } - return nok(code) - } - - /** - * @type {State} - **/ - function atMarker(code) { - effects.enter('listItemMarker') - effects.consume(code) - effects.exit('listItemMarker') - self.containerState.marker = self.containerState.marker || code - return effects.check( - blankLine, - // Can’t be empty when interrupting. - self.interrupt ? nok : onBlank, - effects.attempt( - listItemPrefixWhitespaceConstruct, - endOfPrefix, - otherPrefix - ) - ) - } - - /** @type {State} */ - function onBlank(code) { - self.containerState.initialBlankLine = true - initialSize++ - return endOfPrefix(code) - } - - /** @type {State} */ - function otherPrefix(code) { - if (markdownSpace(code)) { - effects.enter('listItemPrefixWhitespace') - effects.consume(code) - effects.exit('listItemPrefixWhitespace') - return endOfPrefix - } - return nok(code) - } - - /** @type {State} */ - function endOfPrefix(code) { - self.containerState.size = - initialSize + - self.sliceSerialize(effects.exit('listItemPrefix'), true).length - return ok(code) - } -} - -/** - * @type {Tokenizer} - * @this {TokenizeContext} - */ -function tokenizeListContinuation(effects, ok, nok) { - const self = this - self.containerState._closeFlow = undefined - return effects.check(blankLine, onBlank, notBlank) - - /** @type {State} */ - function onBlank(code) { - self.containerState.furtherBlankLines = - self.containerState.furtherBlankLines || - self.containerState.initialBlankLine - - // We have a blank line. - // Still, try to consume at most the items size. - return factorySpace( - effects, - ok, - 'listItemIndent', - self.containerState.size + 1 - )(code) - } - - /** @type {State} */ - function notBlank(code) { - if (self.containerState.furtherBlankLines || !markdownSpace(code)) { - self.containerState.furtherBlankLines = undefined - self.containerState.initialBlankLine = undefined - return notInCurrentItem(code) - } - self.containerState.furtherBlankLines = undefined - self.containerState.initialBlankLine = undefined - return effects.attempt(indentConstruct, ok, notInCurrentItem)(code) - } - - /** @type {State} */ - function notInCurrentItem(code) { - // While we do continue, we signal that the flow should be closed. - self.containerState._closeFlow = true - // As we’re closing flow, we’re no longer interrupting. - self.interrupt = undefined - // Always populated by defaults. - - return factorySpace( - effects, - effects.attempt(list, ok, nok), - 'linePrefix', - self.parser.constructs.disable.null.includes('codeIndented') - ? undefined - : 4 - )(code) - } -} - -/** - * @type {Tokenizer} - * @this {TokenizeContext} - */ -function tokenizeIndent(effects, ok, nok) { - const self = this - return factorySpace( - effects, - afterPrefix, - 'listItemIndent', - self.containerState.size + 1 - ) - - /** @type {State} */ - function afterPrefix(code) { - const tail = self.events[self.events.length - 1] - return tail && - tail[1].type === 'listItemIndent' && - tail[2].sliceSerialize(tail[1], true).length === self.containerState.size - ? ok(code) - : nok(code) - } -} - -/** - * @type {Exiter} - * @this {TokenizeContext} - */ -function tokenizeListEnd(effects) { - effects.exit(this.containerState.type) -} - -/** - * @type {Tokenizer} - * @this {TokenizeContext} - */ -function tokenizeListItemPrefixWhitespace(effects, ok, nok) { - const self = this - - // Always populated by defaults. - - return factorySpace( - effects, - afterPrefix, - 'listItemPrefixWhitespace', - self.parser.constructs.disable.null.includes('codeIndented') - ? undefined - : 4 + 1 - ) - - /** @type {State} */ - function afterPrefix(code) { - const tail = self.events[self.events.length - 1] - return !markdownSpace(code) && - tail && - tail[1].type === 'listItemPrefixWhitespace' - ? ok(code) - : nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/block-quote.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').Exiter} Exiter - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const blockQuote = { - name: 'blockQuote', - tokenize: tokenizeBlockQuoteStart, - continuation: { - tokenize: tokenizeBlockQuoteContinuation - }, - exit -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeBlockQuoteStart(effects, ok, nok) { - const self = this - return start - - /** - * Start of block quote. - * - * ```markdown - * > | > a - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - if (code === 62) { - const state = self.containerState - if (!state.open) { - effects.enter('blockQuote', { - _container: true - }) - state.open = true - } - effects.enter('blockQuotePrefix') - effects.enter('blockQuoteMarker') - effects.consume(code) - effects.exit('blockQuoteMarker') - return after - } - return nok(code) - } - - /** - * After `>`, before optional whitespace. - * - * ```markdown - * > | > a - * ^ - * ``` - * - * @type {State} - */ - function after(code) { - if (markdownSpace(code)) { - effects.enter('blockQuotePrefixWhitespace') - effects.consume(code) - effects.exit('blockQuotePrefixWhitespace') - effects.exit('blockQuotePrefix') - return ok - } - effects.exit('blockQuotePrefix') - return ok(code) - } -} - -/** - * Start of block quote continuation. - * - * ```markdown - * | > a - * > | > b - * ^ - * ``` - * - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeBlockQuoteContinuation(effects, ok, nok) { - const self = this - return contStart - - /** - * Start of block quote continuation. - * - * Also used to parse the first block quote opening. - * - * ```markdown - * | > a - * > | > b - * ^ - * ``` - * - * @type {State} - */ - function contStart(code) { - if (markdownSpace(code)) { - // Always populated by defaults. - - return factorySpace( - effects, - contBefore, - 'linePrefix', - self.parser.constructs.disable.null.includes('codeIndented') - ? undefined - : 4 - )(code) - } - return contBefore(code) - } - - /** - * At `>`, after optional whitespace. - * - * Also used to parse the first block quote opening. - * - * ```markdown - * | > a - * > | > b - * ^ - * ``` - * - * @type {State} - */ - function contBefore(code) { - return effects.attempt(blockQuote, ok, nok)(code) - } -} - -/** @type {Exiter} */ -function exit(effects) { - effects.exit('blockQuote') -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-destination/index.js -/** - * @typedef {import('micromark-util-types').Effects} Effects - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenType} TokenType - */ - - -/** - * Parse destinations. - * - * ###### Examples - * - * ```markdown - * <a> - * <a\>b> - * <a b> - * <a)> - * a - * a\)b - * a(b)c - * a(b) - * ``` - * - * @param {Effects} effects - * Context. - * @param {State} ok - * State switched to when successful. - * @param {State} nok - * State switched to when unsuccessful. - * @param {TokenType} type - * Type for whole (`<a>` or `b`). - * @param {TokenType} literalType - * Type when enclosed (`<a>`). - * @param {TokenType} literalMarkerType - * Type for enclosing (`<` and `>`). - * @param {TokenType} rawType - * Type when not enclosed (`b`). - * @param {TokenType} stringType - * Type for the value (`a` or `b`). - * @param {number | undefined} [max=Infinity] - * Depth of nested parens (inclusive). - * @returns {State} - * Start state. - */ // eslint-disable-next-line max-params -function factoryDestination( - effects, - ok, - nok, - type, - literalType, - literalMarkerType, - rawType, - stringType, - max -) { - const limit = max || Number.POSITIVE_INFINITY - let balance = 0 - return start - - /** - * Start of destination. - * - * ```markdown - * > | <aa> - * ^ - * > | aa - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - if (code === 60) { - effects.enter(type) - effects.enter(literalType) - effects.enter(literalMarkerType) - effects.consume(code) - effects.exit(literalMarkerType) - return enclosedBefore - } - - // ASCII control, space, closing paren. - if (code === null || code === 32 || code === 41 || asciiControl(code)) { - return nok(code) - } - effects.enter(type) - effects.enter(rawType) - effects.enter(stringType) - effects.enter('chunkString', { - contentType: 'string' - }) - return raw(code) - } - - /** - * After `<`, at an enclosed destination. - * - * ```markdown - * > | <aa> - * ^ - * ``` - * - * @type {State} - */ - function enclosedBefore(code) { - if (code === 62) { - effects.enter(literalMarkerType) - effects.consume(code) - effects.exit(literalMarkerType) - effects.exit(literalType) - effects.exit(type) - return ok - } - effects.enter(stringType) - effects.enter('chunkString', { - contentType: 'string' - }) - return enclosed(code) - } - - /** - * In enclosed destination. - * - * ```markdown - * > | <aa> - * ^ - * ``` - * - * @type {State} - */ - function enclosed(code) { - if (code === 62) { - effects.exit('chunkString') - effects.exit(stringType) - return enclosedBefore(code) - } - if (code === null || code === 60 || markdownLineEnding(code)) { - return nok(code) - } - effects.consume(code) - return code === 92 ? enclosedEscape : enclosed - } - - /** - * After `\`, at a special character. - * - * ```markdown - * > | <a\*a> - * ^ - * ``` - * - * @type {State} - */ - function enclosedEscape(code) { - if (code === 60 || code === 62 || code === 92) { - effects.consume(code) - return enclosed - } - return enclosed(code) - } - - /** - * In raw destination. - * - * ```markdown - * > | aa - * ^ - * ``` - * - * @type {State} - */ - function raw(code) { - if ( - !balance && - (code === null || code === 41 || markdownLineEndingOrSpace(code)) - ) { - effects.exit('chunkString') - effects.exit(stringType) - effects.exit(rawType) - effects.exit(type) - return ok(code) - } - if (balance < limit && code === 40) { - effects.consume(code) - balance++ - return raw - } - if (code === 41) { - effects.consume(code) - balance-- - return raw - } - - // ASCII control (but *not* `\0`) and space and `(`. - // Note: in `markdown-rs`, `\0` exists in codes, in `micromark-js` it - // doesn’t. - if (code === null || code === 32 || code === 40 || asciiControl(code)) { - return nok(code) - } - effects.consume(code) - return code === 92 ? rawEscape : raw - } - - /** - * After `\`, at special character. - * - * ```markdown - * > | a\*a - * ^ - * ``` - * - * @type {State} - */ - function rawEscape(code) { - if (code === 40 || code === 41 || code === 92) { - effects.consume(code) - return raw - } - return raw(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-label/index.js -/** - * @typedef {import('micromark-util-types').Effects} Effects - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').TokenType} TokenType - */ - - -/** - * Parse labels. - * - * > 👉 **Note**: labels in markdown are capped at 999 characters in the string. - * - * ###### Examples - * - * ```markdown - * [a] - * [a - * b] - * [a\]b] - * ``` - * - * @this {TokenizeContext} - * Tokenize context. - * @param {Effects} effects - * Context. - * @param {State} ok - * State switched to when successful. - * @param {State} nok - * State switched to when unsuccessful. - * @param {TokenType} type - * Type of the whole label (`[a]`). - * @param {TokenType} markerType - * Type for the markers (`[` and `]`). - * @param {TokenType} stringType - * Type for the identifier (`a`). - * @returns {State} - * Start state. - */ // eslint-disable-next-line max-params -function factoryLabel(effects, ok, nok, type, markerType, stringType) { - const self = this - let size = 0 - /** @type {boolean} */ - let seen - return start - - /** - * Start of label. - * - * ```markdown - * > | [a] - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter(type) - effects.enter(markerType) - effects.consume(code) - effects.exit(markerType) - effects.enter(stringType) - return atBreak - } - - /** - * In label, at something, before something else. - * - * ```markdown - * > | [a] - * ^ - * ``` - * - * @type {State} - */ - function atBreak(code) { - if ( - size > 999 || - code === null || - code === 91 || - (code === 93 && !seen) || - // To do: remove in the future once we’ve switched from - // `micromark-extension-footnote` to `micromark-extension-gfm-footnote`, - // which doesn’t need this. - // Hidden footnotes hook. - /* c8 ignore next 3 */ - (code === 94 && - !size && - '_hiddenFootnoteSupport' in self.parser.constructs) - ) { - return nok(code) - } - if (code === 93) { - effects.exit(stringType) - effects.enter(markerType) - effects.consume(code) - effects.exit(markerType) - effects.exit(type) - return ok - } - - // To do: indent? Link chunks and EOLs together? - if (markdownLineEnding(code)) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return atBreak - } - effects.enter('chunkString', { - contentType: 'string' - }) - return labelInside(code) - } - - /** - * In label, in text. - * - * ```markdown - * > | [a] - * ^ - * ``` - * - * @type {State} - */ - function labelInside(code) { - if ( - code === null || - code === 91 || - code === 93 || - markdownLineEnding(code) || - size++ > 999 - ) { - effects.exit('chunkString') - return atBreak(code) - } - effects.consume(code) - if (!seen) seen = !markdownSpace(code) - return code === 92 ? labelEscape : labelInside - } - - /** - * After `\`, at a special character. - * - * ```markdown - * > | [a\*a] - * ^ - * ``` - * - * @type {State} - */ - function labelEscape(code) { - if (code === 91 || code === 92 || code === 93) { - effects.consume(code) - size++ - return labelInside - } - return labelInside(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-title/index.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Effects} Effects - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenType} TokenType - */ - - - -/** - * Parse titles. - * - * ###### Examples - * - * ```markdown - * "a" - * 'b' - * (c) - * "a - * b" - * 'a - * b' - * (a\)b) - * ``` - * - * @param {Effects} effects - * Context. - * @param {State} ok - * State switched to when successful. - * @param {State} nok - * State switched to when unsuccessful. - * @param {TokenType} type - * Type of the whole title (`"a"`, `'b'`, `(c)`). - * @param {TokenType} markerType - * Type for the markers (`"`, `'`, `(`, and `)`). - * @param {TokenType} stringType - * Type for the value (`a`). - * @returns {State} - * Start state. - */ // eslint-disable-next-line max-params -function factoryTitle(effects, ok, nok, type, markerType, stringType) { - /** @type {NonNullable<Code>} */ - let marker - return start - - /** - * Start of title. - * - * ```markdown - * > | "a" - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - if (code === 34 || code === 39 || code === 40) { - effects.enter(type) - effects.enter(markerType) - effects.consume(code) - effects.exit(markerType) - marker = code === 40 ? 41 : code - return begin - } - return nok(code) - } - - /** - * After opening marker. - * - * This is also used at the closing marker. - * - * ```markdown - * > | "a" - * ^ - * ``` - * - * @type {State} - */ - function begin(code) { - if (code === marker) { - effects.enter(markerType) - effects.consume(code) - effects.exit(markerType) - effects.exit(type) - return ok - } - effects.enter(stringType) - return atBreak(code) - } - - /** - * At something, before something else. - * - * ```markdown - * > | "a" - * ^ - * ``` - * - * @type {State} - */ - function atBreak(code) { - if (code === marker) { - effects.exit(stringType) - return begin(marker) - } - if (code === null) { - return nok(code) - } - - // Note: blank lines can’t exist in content. - if (markdownLineEnding(code)) { - // To do: use `space_or_tab_eol_with_options`, connect. - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return factorySpace(effects, atBreak, 'linePrefix') - } - effects.enter('chunkString', { - contentType: 'string' - }) - return inside(code) - } - - /** - * - * - * @type {State} - */ - function inside(code) { - if (code === marker || code === null || markdownLineEnding(code)) { - effects.exit('chunkString') - return atBreak(code) - } - effects.consume(code) - return code === 92 ? escape : inside - } - - /** - * After `\`, at a special character. - * - * ```markdown - * > | "a\*b" - * ^ - * ``` - * - * @type {State} - */ - function escape(code) { - if (code === marker || code === 92) { - effects.consume(code) - return inside - } - return inside(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-factory-whitespace/index.js -/** - * @typedef {import('micromark-util-types').Effects} Effects - * @typedef {import('micromark-util-types').State} State - */ - - - -/** - * Parse spaces and tabs. - * - * There is no `nok` parameter: - * - * * line endings or spaces in markdown are often optional, in which case this - * factory can be used and `ok` will be switched to whether spaces were found - * or not - * * one line ending or space can be detected with - * `markdownLineEndingOrSpace(code)` right before using `factoryWhitespace` - * - * @param {Effects} effects - * Context. - * @param {State} ok - * State switched to when successful. - * @returns - * Start state. - */ -function factoryWhitespace(effects, ok) { - /** @type {boolean} */ - let seen - return start - - /** @type {State} */ - function start(code) { - if (markdownLineEnding(code)) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - seen = true - return start - } - if (markdownSpace(code)) { - return factorySpace( - effects, - start, - seen ? 'linePrefix' : 'lineSuffix' - )(code) - } - return ok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-normalize-identifier/index.js -/** - * Normalize an identifier (as found in references, definitions). - * - * Collapses markdown whitespace, trim, and then lower- and uppercase. - * - * Some characters are considered “uppercase”, such as U+03F4 (`ϴ`), but if their - * lowercase counterpart (U+03B8 (`θ`)) is uppercased will result in a different - * uppercase character (U+0398 (`Θ`)). - * So, to get a canonical form, we perform both lower- and uppercase. - * - * Using uppercase last makes sure keys will never interact with default - * prototypal values (such as `constructor`): nothing in the prototype of - * `Object` is uppercase. - * - * @param {string} value - * Identifier to normalize. - * @returns {string} - * Normalized identifier. - */ -function normalizeIdentifier(value) { - return ( - value - // Collapse markdown whitespace. - .replace(/[\t\n\r ]+/g, ' ') - // Trim. - .replace(/^ | $/g, '') - // Some characters are considered “uppercase”, but if their lowercase - // counterpart is uppercased will result in a different uppercase - // character. - // Hence, to get that form, we perform both lower- and uppercase. - // Upper case makes sure keys will not interact with default prototypal - // methods: no method is uppercase. - .toLowerCase() - .toUpperCase() - ) -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/definition.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - - - - - - -/** @type {Construct} */ -const definition = { - name: 'definition', - tokenize: tokenizeDefinition -} - -/** @type {Construct} */ -const titleBefore = { - tokenize: tokenizeTitleBefore, - partial: true -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeDefinition(effects, ok, nok) { - const self = this - /** @type {string} */ - let identifier - return start - - /** - * At start of a definition. - * - * ```markdown - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - // Do not interrupt paragraphs (but do follow definitions). - // To do: do `interrupt` the way `markdown-rs` does. - // To do: parse whitespace the way `markdown-rs` does. - effects.enter('definition') - return before(code) - } - - /** - * After optional whitespace, at `[`. - * - * ```markdown - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function before(code) { - // To do: parse whitespace the way `markdown-rs` does. - - return factoryLabel.call( - self, - effects, - labelAfter, - // Note: we don’t need to reset the way `markdown-rs` does. - nok, - 'definitionLabel', - 'definitionLabelMarker', - 'definitionLabelString' - )(code) - } - - /** - * After label. - * - * ```markdown - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function labelAfter(code) { - identifier = normalizeIdentifier( - self.sliceSerialize(self.events[self.events.length - 1][1]).slice(1, -1) - ) - if (code === 58) { - effects.enter('definitionMarker') - effects.consume(code) - effects.exit('definitionMarker') - return markerAfter - } - return nok(code) - } - - /** - * After marker. - * - * ```markdown - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function markerAfter(code) { - // Note: whitespace is optional. - return markdownLineEndingOrSpace(code) - ? factoryWhitespace(effects, destinationBefore)(code) - : destinationBefore(code) - } - - /** - * Before destination. - * - * ```markdown - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function destinationBefore(code) { - return factoryDestination( - effects, - destinationAfter, - // Note: we don’t need to reset the way `markdown-rs` does. - nok, - 'definitionDestination', - 'definitionDestinationLiteral', - 'definitionDestinationLiteralMarker', - 'definitionDestinationRaw', - 'definitionDestinationString' - )(code) - } - - /** - * After destination. - * - * ```markdown - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function destinationAfter(code) { - return effects.attempt(titleBefore, after, after)(code) - } - - /** - * After definition. - * - * ```markdown - * > | [a]: b - * ^ - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function after(code) { - return markdownSpace(code) - ? factorySpace(effects, afterWhitespace, 'whitespace')(code) - : afterWhitespace(code) - } - - /** - * After definition, after optional whitespace. - * - * ```markdown - * > | [a]: b - * ^ - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function afterWhitespace(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('definition') - - // Note: we don’t care about uniqueness. - // It’s likely that that doesn’t happen very frequently. - // It is more likely that it wastes precious time. - self.parser.defined.push(identifier) - - // To do: `markdown-rs` interrupt. - // // You’d be interrupting. - // tokenizer.interrupt = true - return ok(code) - } - return nok(code) - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeTitleBefore(effects, ok, nok) { - return titleBefore - - /** - * After destination, at whitespace. - * - * ```markdown - * > | [a]: b - * ^ - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function titleBefore(code) { - return markdownLineEndingOrSpace(code) - ? factoryWhitespace(effects, beforeMarker)(code) - : nok(code) - } - - /** - * At title. - * - * ```markdown - * | [a]: b - * > | "c" - * ^ - * ``` - * - * @type {State} - */ - function beforeMarker(code) { - return factoryTitle( - effects, - titleAfter, - nok, - 'definitionTitle', - 'definitionTitleMarker', - 'definitionTitleString' - )(code) - } - - /** - * After title. - * - * ```markdown - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function titleAfter(code) { - return markdownSpace(code) - ? factorySpace(effects, titleAfterOptionalWhitespace, 'whitespace')(code) - : titleAfterOptionalWhitespace(code) - } - - /** - * After title, after optional whitespace. - * - * ```markdown - * > | [a]: b "c" - * ^ - * ``` - * - * @type {State} - */ - function titleAfterOptionalWhitespace(code) { - return code === null || markdownLineEnding(code) ? ok(code) : nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-indented.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const codeIndented = { - name: 'codeIndented', - tokenize: tokenizeCodeIndented -} - -/** @type {Construct} */ -const furtherStart = { - tokenize: tokenizeFurtherStart, - partial: true -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeCodeIndented(effects, ok, nok) { - const self = this - return start - - /** - * Start of code (indented). - * - * > **Parsing note**: it is not needed to check if this first line is a - * > filled line (that it has a non-whitespace character), because blank lines - * > are parsed already, so we never run into that. - * - * ```markdown - * > | aaa - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - // To do: manually check if interrupting like `markdown-rs`. - - effects.enter('codeIndented') - // To do: use an improved `space_or_tab` function like `markdown-rs`, - // so that we can drop the next state. - return factorySpace(effects, afterPrefix, 'linePrefix', 4 + 1)(code) - } - - /** - * At start, after 1 or 4 spaces. - * - * ```markdown - * > | aaa - * ^ - * ``` - * - * @type {State} - */ - function afterPrefix(code) { - const tail = self.events[self.events.length - 1] - return tail && - tail[1].type === 'linePrefix' && - tail[2].sliceSerialize(tail[1], true).length >= 4 - ? atBreak(code) - : nok(code) - } - - /** - * At a break. - * - * ```markdown - * > | aaa - * ^ ^ - * ``` - * - * @type {State} - */ - function atBreak(code) { - if (code === null) { - return after(code) - } - if (markdownLineEnding(code)) { - return effects.attempt(furtherStart, atBreak, after)(code) - } - effects.enter('codeFlowValue') - return inside(code) - } - - /** - * In code content. - * - * ```markdown - * > | aaa - * ^^^^ - * ``` - * - * @type {State} - */ - function inside(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('codeFlowValue') - return atBreak(code) - } - effects.consume(code) - return inside - } - - /** @type {State} */ - function after(code) { - effects.exit('codeIndented') - // To do: allow interrupting like `markdown-rs`. - // Feel free to interrupt. - // tokenizer.interrupt = false - return ok(code) - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeFurtherStart(effects, ok, nok) { - const self = this - return furtherStart - - /** - * At eol, trying to parse another indent. - * - * ```markdown - * > | aaa - * ^ - * | bbb - * ``` - * - * @type {State} - */ - function furtherStart(code) { - // To do: improve `lazy` / `pierce` handling. - // If this is a lazy line, it can’t be code. - if (self.parser.lazy[self.now().line]) { - return nok(code) - } - if (markdownLineEnding(code)) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return furtherStart - } - - // To do: the code here in `micromark-js` is a bit different from - // `markdown-rs` because there it can attempt spaces. - // We can’t yet. - // - // To do: use an improved `space_or_tab` function like `markdown-rs`, - // so that we can drop the next state. - return factorySpace(effects, afterPrefix, 'linePrefix', 4 + 1)(code) - } - - /** - * At start, after 1 or 4 spaces. - * - * ```markdown - * > | aaa - * ^ - * ``` - * - * @type {State} - */ - function afterPrefix(code) { - const tail = self.events[self.events.length - 1] - return tail && - tail[1].type === 'linePrefix' && - tail[2].sliceSerialize(tail[1], true).length >= 4 - ? ok(code) - : markdownLineEnding(code) - ? furtherStart(code) - : nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/heading-atx.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - - -/** @type {Construct} */ -const headingAtx = { - name: 'headingAtx', - tokenize: tokenizeHeadingAtx, - resolve: resolveHeadingAtx -} - -/** @type {Resolver} */ -function resolveHeadingAtx(events, context) { - let contentEnd = events.length - 2 - let contentStart = 3 - /** @type {Token} */ - let content - /** @type {Token} */ - let text - - // Prefix whitespace, part of the opening. - if (events[contentStart][1].type === 'whitespace') { - contentStart += 2 - } - - // Suffix whitespace, part of the closing. - if ( - contentEnd - 2 > contentStart && - events[contentEnd][1].type === 'whitespace' - ) { - contentEnd -= 2 - } - if ( - events[contentEnd][1].type === 'atxHeadingSequence' && - (contentStart === contentEnd - 1 || - (contentEnd - 4 > contentStart && - events[contentEnd - 2][1].type === 'whitespace')) - ) { - contentEnd -= contentStart + 1 === contentEnd ? 2 : 4 - } - if (contentEnd > contentStart) { - content = { - type: 'atxHeadingText', - start: events[contentStart][1].start, - end: events[contentEnd][1].end - } - text = { - type: 'chunkText', - start: events[contentStart][1].start, - end: events[contentEnd][1].end, - contentType: 'text' - } - splice(events, contentStart, contentEnd - contentStart + 1, [ - ['enter', content, context], - ['enter', text, context], - ['exit', text, context], - ['exit', content, context] - ]) - } - return events -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeHeadingAtx(effects, ok, nok) { - let size = 0 - return start - - /** - * Start of a heading (atx). - * - * ```markdown - * > | ## aa - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - // To do: parse indent like `markdown-rs`. - effects.enter('atxHeading') - return before(code) - } - - /** - * After optional whitespace, at `#`. - * - * ```markdown - * > | ## aa - * ^ - * ``` - * - * @type {State} - */ - function before(code) { - effects.enter('atxHeadingSequence') - return sequenceOpen(code) - } - - /** - * In opening sequence. - * - * ```markdown - * > | ## aa - * ^ - * ``` - * - * @type {State} - */ - function sequenceOpen(code) { - if (code === 35 && size++ < 6) { - effects.consume(code) - return sequenceOpen - } - - // Always at least one `#`. - if (code === null || markdownLineEndingOrSpace(code)) { - effects.exit('atxHeadingSequence') - return atBreak(code) - } - return nok(code) - } - - /** - * After something, before something else. - * - * ```markdown - * > | ## aa - * ^ - * ``` - * - * @type {State} - */ - function atBreak(code) { - if (code === 35) { - effects.enter('atxHeadingSequence') - return sequenceFurther(code) - } - if (code === null || markdownLineEnding(code)) { - effects.exit('atxHeading') - // To do: interrupt like `markdown-rs`. - // // Feel free to interrupt. - // tokenizer.interrupt = false - return ok(code) - } - if (markdownSpace(code)) { - return factorySpace(effects, atBreak, 'whitespace')(code) - } - - // To do: generate `data` tokens, add the `text` token later. - // Needs edit map, see: `markdown.rs`. - effects.enter('atxHeadingText') - return data(code) - } - - /** - * In further sequence (after whitespace). - * - * Could be normal “visible” hashes in the heading or a final sequence. - * - * ```markdown - * > | ## aa ## - * ^ - * ``` - * - * @type {State} - */ - function sequenceFurther(code) { - if (code === 35) { - effects.consume(code) - return sequenceFurther - } - effects.exit('atxHeadingSequence') - return atBreak(code) - } - - /** - * In text. - * - * ```markdown - * > | ## aa - * ^ - * ``` - * - * @type {State} - */ - function data(code) { - if (code === null || code === 35 || markdownLineEndingOrSpace(code)) { - effects.exit('atxHeadingText') - return atBreak(code) - } - effects.consume(code) - return data - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/setext-underline.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const setextUnderline = { - name: 'setextUnderline', - tokenize: tokenizeSetextUnderline, - resolveTo: resolveToSetextUnderline -} - -/** @type {Resolver} */ -function resolveToSetextUnderline(events, context) { - // To do: resolve like `markdown-rs`. - let index = events.length - /** @type {number | undefined} */ - let content - /** @type {number | undefined} */ - let text - /** @type {number | undefined} */ - let definition - - // Find the opening of the content. - // It’ll always exist: we don’t tokenize if it isn’t there. - while (index--) { - if (events[index][0] === 'enter') { - if (events[index][1].type === 'content') { - content = index - break - } - if (events[index][1].type === 'paragraph') { - text = index - } - } - // Exit - else { - if (events[index][1].type === 'content') { - // Remove the content end (if needed we’ll add it later) - events.splice(index, 1) - } - if (!definition && events[index][1].type === 'definition') { - definition = index - } - } - } - const heading = { - type: 'setextHeading', - start: Object.assign({}, events[text][1].start), - end: Object.assign({}, events[events.length - 1][1].end) - } - - // Change the paragraph to setext heading text. - events[text][1].type = 'setextHeadingText' - - // If we have definitions in the content, we’ll keep on having content, - // but we need move it. - if (definition) { - events.splice(text, 0, ['enter', heading, context]) - events.splice(definition + 1, 0, ['exit', events[content][1], context]) - events[content][1].end = Object.assign({}, events[definition][1].end) - } else { - events[content][1] = heading - } - - // Add the heading exit at the end. - events.push(['exit', heading, context]) - return events -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeSetextUnderline(effects, ok, nok) { - const self = this - /** @type {NonNullable<Code>} */ - let marker - return start - - /** - * At start of heading (setext) underline. - * - * ```markdown - * | aa - * > | == - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - let index = self.events.length - /** @type {boolean | undefined} */ - let paragraph - // Find an opening. - while (index--) { - // Skip enter/exit of line ending, line prefix, and content. - // We can now either have a definition or a paragraph. - if ( - self.events[index][1].type !== 'lineEnding' && - self.events[index][1].type !== 'linePrefix' && - self.events[index][1].type !== 'content' - ) { - paragraph = self.events[index][1].type === 'paragraph' - break - } - } - - // To do: handle lazy/pierce like `markdown-rs`. - // To do: parse indent like `markdown-rs`. - if (!self.parser.lazy[self.now().line] && (self.interrupt || paragraph)) { - effects.enter('setextHeadingLine') - marker = code - return before(code) - } - return nok(code) - } - - /** - * After optional whitespace, at `-` or `=`. - * - * ```markdown - * | aa - * > | == - * ^ - * ``` - * - * @type {State} - */ - function before(code) { - effects.enter('setextHeadingLineSequence') - return inside(code) - } - - /** - * In sequence. - * - * ```markdown - * | aa - * > | == - * ^ - * ``` - * - * @type {State} - */ - function inside(code) { - if (code === marker) { - effects.consume(code) - return inside - } - effects.exit('setextHeadingLineSequence') - return markdownSpace(code) - ? factorySpace(effects, after, 'lineSuffix')(code) - : after(code) - } - - /** - * After sequence, after optional whitespace. - * - * ```markdown - * | aa - * > | == - * ^ - * ``` - * - * @type {State} - */ - function after(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('setextHeadingLine') - return ok(code) - } - return nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-html-tag-name/index.js -/** - * List of lowercase HTML “block” tag names. - * - * The list, when parsing HTML (flow), results in more relaxed rules (condition - * 6). - * Because they are known blocks, the HTML-like syntax doesn’t have to be - * strictly parsed. - * For tag names not in this list, a more strict algorithm (condition 7) is used - * to detect whether the HTML-like syntax is seen as HTML (flow) or not. - * - * This is copied from: - * <https://spec.commonmark.org/0.30/#html-blocks>. - * - * > 👉 **Note**: `search` was added in `CommonMark@0.31`. - */ -const htmlBlockNames = [ - 'address', - 'article', - 'aside', - 'base', - 'basefont', - 'blockquote', - 'body', - 'caption', - 'center', - 'col', - 'colgroup', - 'dd', - 'details', - 'dialog', - 'dir', - 'div', - 'dl', - 'dt', - 'fieldset', - 'figcaption', - 'figure', - 'footer', - 'form', - 'frame', - 'frameset', - 'h1', - 'h2', - 'h3', - 'h4', - 'h5', - 'h6', - 'head', - 'header', - 'hr', - 'html', - 'iframe', - 'legend', - 'li', - 'link', - 'main', - 'menu', - 'menuitem', - 'nav', - 'noframes', - 'ol', - 'optgroup', - 'option', - 'p', - 'param', - 'search', - 'section', - 'summary', - 'table', - 'tbody', - 'td', - 'tfoot', - 'th', - 'thead', - 'title', - 'tr', - 'track', - 'ul' -] - -/** - * List of lowercase HTML “raw” tag names. - * - * The list, when parsing HTML (flow), results in HTML that can include lines - * without exiting, until a closing tag also in this list is found (condition - * 1). - * - * This module is copied from: - * <https://spec.commonmark.org/0.30/#html-blocks>. - * - * > 👉 **Note**: `textarea` was added in `CommonMark@0.30`. - */ -const htmlRawNames = ['pre', 'script', 'style', 'textarea'] - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/html-flow.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - - - -/** @type {Construct} */ -const htmlFlow = { - name: 'htmlFlow', - tokenize: tokenizeHtmlFlow, - resolveTo: resolveToHtmlFlow, - concrete: true -} - -/** @type {Construct} */ -const blankLineBefore = { - tokenize: tokenizeBlankLineBefore, - partial: true -} -const nonLazyContinuationStart = { - tokenize: tokenizeNonLazyContinuationStart, - partial: true -} - -/** @type {Resolver} */ -function resolveToHtmlFlow(events) { - let index = events.length - while (index--) { - if (events[index][0] === 'enter' && events[index][1].type === 'htmlFlow') { - break - } - } - if (index > 1 && events[index - 2][1].type === 'linePrefix') { - // Add the prefix start to the HTML token. - events[index][1].start = events[index - 2][1].start - // Add the prefix start to the HTML line token. - events[index + 1][1].start = events[index - 2][1].start - // Remove the line prefix. - events.splice(index - 2, 2) - } - return events -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeHtmlFlow(effects, ok, nok) { - const self = this - /** @type {number} */ - let marker - /** @type {boolean} */ - let closingTag - /** @type {string} */ - let buffer - /** @type {number} */ - let index - /** @type {Code} */ - let markerB - return start - - /** - * Start of HTML (flow). - * - * ```markdown - * > | <x /> - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - // To do: parse indent like `markdown-rs`. - return before(code) - } - - /** - * At `<`, after optional whitespace. - * - * ```markdown - * > | <x /> - * ^ - * ``` - * - * @type {State} - */ - function before(code) { - effects.enter('htmlFlow') - effects.enter('htmlFlowData') - effects.consume(code) - return open - } - - /** - * After `<`, at tag name or other stuff. - * - * ```markdown - * > | <x /> - * ^ - * > | <!doctype> - * ^ - * > | <!--xxx--> - * ^ - * ``` - * - * @type {State} - */ - function open(code) { - if (code === 33) { - effects.consume(code) - return declarationOpen - } - if (code === 47) { - effects.consume(code) - closingTag = true - return tagCloseStart - } - if (code === 63) { - effects.consume(code) - marker = 3 - // To do: - // tokenizer.concrete = true - // To do: use `markdown-rs` style interrupt. - // While we’re in an instruction instead of a declaration, we’re on a `?` - // right now, so we do need to search for `>`, similar to declarations. - return self.interrupt ? ok : continuationDeclarationInside - } - - // ASCII alphabetical. - if (asciiAlpha(code)) { - effects.consume(code) - // @ts-expect-error: not null. - buffer = String.fromCharCode(code) - return tagName - } - return nok(code) - } - - /** - * After `<!`, at declaration, comment, or CDATA. - * - * ```markdown - * > | <!doctype> - * ^ - * > | <!--xxx--> - * ^ - * > | <![CDATA[>&<]]> - * ^ - * ``` - * - * @type {State} - */ - function declarationOpen(code) { - if (code === 45) { - effects.consume(code) - marker = 2 - return commentOpenInside - } - if (code === 91) { - effects.consume(code) - marker = 5 - index = 0 - return cdataOpenInside - } - - // ASCII alphabetical. - if (asciiAlpha(code)) { - effects.consume(code) - marker = 4 - // // Do not form containers. - // tokenizer.concrete = true - return self.interrupt ? ok : continuationDeclarationInside - } - return nok(code) - } - - /** - * After `<!-`, inside a comment, at another `-`. - * - * ```markdown - * > | <!--xxx--> - * ^ - * ``` - * - * @type {State} - */ - function commentOpenInside(code) { - if (code === 45) { - effects.consume(code) - // // Do not form containers. - // tokenizer.concrete = true - return self.interrupt ? ok : continuationDeclarationInside - } - return nok(code) - } - - /** - * After `<![`, inside CDATA, expecting `CDATA[`. - * - * ```markdown - * > | <![CDATA[>&<]]> - * ^^^^^^ - * ``` - * - * @type {State} - */ - function cdataOpenInside(code) { - const value = 'CDATA[' - if (code === value.charCodeAt(index++)) { - effects.consume(code) - if (index === value.length) { - // // Do not form containers. - // tokenizer.concrete = true - return self.interrupt ? ok : continuation - } - return cdataOpenInside - } - return nok(code) - } - - /** - * After `</`, in closing tag, at tag name. - * - * ```markdown - * > | </x> - * ^ - * ``` - * - * @type {State} - */ - function tagCloseStart(code) { - if (asciiAlpha(code)) { - effects.consume(code) - // @ts-expect-error: not null. - buffer = String.fromCharCode(code) - return tagName - } - return nok(code) - } - - /** - * In tag name. - * - * ```markdown - * > | <ab> - * ^^ - * > | </ab> - * ^^ - * ``` - * - * @type {State} - */ - function tagName(code) { - if ( - code === null || - code === 47 || - code === 62 || - markdownLineEndingOrSpace(code) - ) { - const slash = code === 47 - const name = buffer.toLowerCase() - if (!slash && !closingTag && htmlRawNames.includes(name)) { - marker = 1 - // // Do not form containers. - // tokenizer.concrete = true - return self.interrupt ? ok(code) : continuation(code) - } - if (htmlBlockNames.includes(buffer.toLowerCase())) { - marker = 6 - if (slash) { - effects.consume(code) - return basicSelfClosing - } - - // // Do not form containers. - // tokenizer.concrete = true - return self.interrupt ? ok(code) : continuation(code) - } - marker = 7 - // Do not support complete HTML when interrupting. - return self.interrupt && !self.parser.lazy[self.now().line] - ? nok(code) - : closingTag - ? completeClosingTagAfter(code) - : completeAttributeNameBefore(code) - } - - // ASCII alphanumerical and `-`. - if (code === 45 || asciiAlphanumeric(code)) { - effects.consume(code) - buffer += String.fromCharCode(code) - return tagName - } - return nok(code) - } - - /** - * After closing slash of a basic tag name. - * - * ```markdown - * > | <div/> - * ^ - * ``` - * - * @type {State} - */ - function basicSelfClosing(code) { - if (code === 62) { - effects.consume(code) - // // Do not form containers. - // tokenizer.concrete = true - return self.interrupt ? ok : continuation - } - return nok(code) - } - - /** - * After closing slash of a complete tag name. - * - * ```markdown - * > | <x/> - * ^ - * ``` - * - * @type {State} - */ - function completeClosingTagAfter(code) { - if (markdownSpace(code)) { - effects.consume(code) - return completeClosingTagAfter - } - return completeEnd(code) - } - - /** - * At an attribute name. - * - * At first, this state is used after a complete tag name, after whitespace, - * where it expects optional attributes or the end of the tag. - * It is also reused after attributes, when expecting more optional - * attributes. - * - * ```markdown - * > | <a /> - * ^ - * > | <a :b> - * ^ - * > | <a _b> - * ^ - * > | <a b> - * ^ - * > | <a > - * ^ - * ``` - * - * @type {State} - */ - function completeAttributeNameBefore(code) { - if (code === 47) { - effects.consume(code) - return completeEnd - } - - // ASCII alphanumerical and `:` and `_`. - if (code === 58 || code === 95 || asciiAlpha(code)) { - effects.consume(code) - return completeAttributeName - } - if (markdownSpace(code)) { - effects.consume(code) - return completeAttributeNameBefore - } - return completeEnd(code) - } - - /** - * In attribute name. - * - * ```markdown - * > | <a :b> - * ^ - * > | <a _b> - * ^ - * > | <a b> - * ^ - * ``` - * - * @type {State} - */ - function completeAttributeName(code) { - // ASCII alphanumerical and `-`, `.`, `:`, and `_`. - if ( - code === 45 || - code === 46 || - code === 58 || - code === 95 || - asciiAlphanumeric(code) - ) { - effects.consume(code) - return completeAttributeName - } - return completeAttributeNameAfter(code) - } - - /** - * After attribute name, at an optional initializer, the end of the tag, or - * whitespace. - * - * ```markdown - * > | <a b> - * ^ - * > | <a b=c> - * ^ - * ``` - * - * @type {State} - */ - function completeAttributeNameAfter(code) { - if (code === 61) { - effects.consume(code) - return completeAttributeValueBefore - } - if (markdownSpace(code)) { - effects.consume(code) - return completeAttributeNameAfter - } - return completeAttributeNameBefore(code) - } - - /** - * Before unquoted, double quoted, or single quoted attribute value, allowing - * whitespace. - * - * ```markdown - * > | <a b=c> - * ^ - * > | <a b="c"> - * ^ - * ``` - * - * @type {State} - */ - function completeAttributeValueBefore(code) { - if ( - code === null || - code === 60 || - code === 61 || - code === 62 || - code === 96 - ) { - return nok(code) - } - if (code === 34 || code === 39) { - effects.consume(code) - markerB = code - return completeAttributeValueQuoted - } - if (markdownSpace(code)) { - effects.consume(code) - return completeAttributeValueBefore - } - return completeAttributeValueUnquoted(code) - } - - /** - * In double or single quoted attribute value. - * - * ```markdown - * > | <a b="c"> - * ^ - * > | <a b='c'> - * ^ - * ``` - * - * @type {State} - */ - function completeAttributeValueQuoted(code) { - if (code === markerB) { - effects.consume(code) - markerB = null - return completeAttributeValueQuotedAfter - } - if (code === null || markdownLineEnding(code)) { - return nok(code) - } - effects.consume(code) - return completeAttributeValueQuoted - } - - /** - * In unquoted attribute value. - * - * ```markdown - * > | <a b=c> - * ^ - * ``` - * - * @type {State} - */ - function completeAttributeValueUnquoted(code) { - if ( - code === null || - code === 34 || - code === 39 || - code === 47 || - code === 60 || - code === 61 || - code === 62 || - code === 96 || - markdownLineEndingOrSpace(code) - ) { - return completeAttributeNameAfter(code) - } - effects.consume(code) - return completeAttributeValueUnquoted - } - - /** - * After double or single quoted attribute value, before whitespace or the - * end of the tag. - * - * ```markdown - * > | <a b="c"> - * ^ - * ``` - * - * @type {State} - */ - function completeAttributeValueQuotedAfter(code) { - if (code === 47 || code === 62 || markdownSpace(code)) { - return completeAttributeNameBefore(code) - } - return nok(code) - } - - /** - * In certain circumstances of a complete tag where only an `>` is allowed. - * - * ```markdown - * > | <a b="c"> - * ^ - * ``` - * - * @type {State} - */ - function completeEnd(code) { - if (code === 62) { - effects.consume(code) - return completeAfter - } - return nok(code) - } - - /** - * After `>` in a complete tag. - * - * ```markdown - * > | <x> - * ^ - * ``` - * - * @type {State} - */ - function completeAfter(code) { - if (code === null || markdownLineEnding(code)) { - // // Do not form containers. - // tokenizer.concrete = true - return continuation(code) - } - if (markdownSpace(code)) { - effects.consume(code) - return completeAfter - } - return nok(code) - } - - /** - * In continuation of any HTML kind. - * - * ```markdown - * > | <!--xxx--> - * ^ - * ``` - * - * @type {State} - */ - function continuation(code) { - if (code === 45 && marker === 2) { - effects.consume(code) - return continuationCommentInside - } - if (code === 60 && marker === 1) { - effects.consume(code) - return continuationRawTagOpen - } - if (code === 62 && marker === 4) { - effects.consume(code) - return continuationClose - } - if (code === 63 && marker === 3) { - effects.consume(code) - return continuationDeclarationInside - } - if (code === 93 && marker === 5) { - effects.consume(code) - return continuationCdataInside - } - if (markdownLineEnding(code) && (marker === 6 || marker === 7)) { - effects.exit('htmlFlowData') - return effects.check( - blankLineBefore, - continuationAfter, - continuationStart - )(code) - } - if (code === null || markdownLineEnding(code)) { - effects.exit('htmlFlowData') - return continuationStart(code) - } - effects.consume(code) - return continuation - } - - /** - * In continuation, at eol. - * - * ```markdown - * > | <x> - * ^ - * | asd - * ``` - * - * @type {State} - */ - function continuationStart(code) { - return effects.check( - nonLazyContinuationStart, - continuationStartNonLazy, - continuationAfter - )(code) - } - - /** - * In continuation, at eol, before non-lazy content. - * - * ```markdown - * > | <x> - * ^ - * | asd - * ``` - * - * @type {State} - */ - function continuationStartNonLazy(code) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return continuationBefore - } - - /** - * In continuation, before non-lazy content. - * - * ```markdown - * | <x> - * > | asd - * ^ - * ``` - * - * @type {State} - */ - function continuationBefore(code) { - if (code === null || markdownLineEnding(code)) { - return continuationStart(code) - } - effects.enter('htmlFlowData') - return continuation(code) - } - - /** - * In comment continuation, after one `-`, expecting another. - * - * ```markdown - * > | <!--xxx--> - * ^ - * ``` - * - * @type {State} - */ - function continuationCommentInside(code) { - if (code === 45) { - effects.consume(code) - return continuationDeclarationInside - } - return continuation(code) - } - - /** - * In raw continuation, after `<`, at `/`. - * - * ```markdown - * > | <script>console.log(1)</script> - * ^ - * ``` - * - * @type {State} - */ - function continuationRawTagOpen(code) { - if (code === 47) { - effects.consume(code) - buffer = '' - return continuationRawEndTag - } - return continuation(code) - } - - /** - * In raw continuation, after `</`, in a raw tag name. - * - * ```markdown - * > | <script>console.log(1)</script> - * ^^^^^^ - * ``` - * - * @type {State} - */ - function continuationRawEndTag(code) { - if (code === 62) { - const name = buffer.toLowerCase() - if (htmlRawNames.includes(name)) { - effects.consume(code) - return continuationClose - } - return continuation(code) - } - if (asciiAlpha(code) && buffer.length < 8) { - effects.consume(code) - // @ts-expect-error: not null. - buffer += String.fromCharCode(code) - return continuationRawEndTag - } - return continuation(code) - } - - /** - * In cdata continuation, after `]`, expecting `]>`. - * - * ```markdown - * > | <![CDATA[>&<]]> - * ^ - * ``` - * - * @type {State} - */ - function continuationCdataInside(code) { - if (code === 93) { - effects.consume(code) - return continuationDeclarationInside - } - return continuation(code) - } - - /** - * In declaration or instruction continuation, at `>`. - * - * ```markdown - * > | <!--> - * ^ - * > | <?> - * ^ - * > | <!q> - * ^ - * > | <!--ab--> - * ^ - * > | <![CDATA[>&<]]> - * ^ - * ``` - * - * @type {State} - */ - function continuationDeclarationInside(code) { - if (code === 62) { - effects.consume(code) - return continuationClose - } - - // More dashes. - if (code === 45 && marker === 2) { - effects.consume(code) - return continuationDeclarationInside - } - return continuation(code) - } - - /** - * In closed continuation: everything we get until the eol/eof is part of it. - * - * ```markdown - * > | <!doctype> - * ^ - * ``` - * - * @type {State} - */ - function continuationClose(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('htmlFlowData') - return continuationAfter(code) - } - effects.consume(code) - return continuationClose - } - - /** - * Done. - * - * ```markdown - * > | <!doctype> - * ^ - * ``` - * - * @type {State} - */ - function continuationAfter(code) { - effects.exit('htmlFlow') - // // Feel free to interrupt. - // tokenizer.interrupt = false - // // No longer concrete. - // tokenizer.concrete = false - return ok(code) - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeNonLazyContinuationStart(effects, ok, nok) { - const self = this - return start - - /** - * At eol, before continuation. - * - * ```markdown - * > | * ```js - * ^ - * | b - * ``` - * - * @type {State} - */ - function start(code) { - if (markdownLineEnding(code)) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return after - } - return nok(code) - } - - /** - * A continuation. - * - * ```markdown - * | * ```js - * > | b - * ^ - * ``` - * - * @type {State} - */ - function after(code) { - return self.parser.lazy[self.now().line] ? nok(code) : ok(code) - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeBlankLineBefore(effects, ok, nok) { - return start - - /** - * Before eol, expecting blank line. - * - * ```markdown - * > | <div> - * ^ - * | - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return effects.attempt(blankLine, ok, nok) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-fenced.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const nonLazyContinuation = { - tokenize: tokenizeNonLazyContinuation, - partial: true -} - -/** @type {Construct} */ -const codeFenced = { - name: 'codeFenced', - tokenize: tokenizeCodeFenced, - concrete: true -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeCodeFenced(effects, ok, nok) { - const self = this - /** @type {Construct} */ - const closeStart = { - tokenize: tokenizeCloseStart, - partial: true - } - let initialPrefix = 0 - let sizeOpen = 0 - /** @type {NonNullable<Code>} */ - let marker - return start - - /** - * Start of code. - * - * ```markdown - * > | ~~~js - * ^ - * | alert(1) - * | ~~~ - * ``` - * - * @type {State} - */ - function start(code) { - // To do: parse whitespace like `markdown-rs`. - return beforeSequenceOpen(code) - } - - /** - * In opening fence, after prefix, at sequence. - * - * ```markdown - * > | ~~~js - * ^ - * | alert(1) - * | ~~~ - * ``` - * - * @type {State} - */ - function beforeSequenceOpen(code) { - const tail = self.events[self.events.length - 1] - initialPrefix = - tail && tail[1].type === 'linePrefix' - ? tail[2].sliceSerialize(tail[1], true).length - : 0 - marker = code - effects.enter('codeFenced') - effects.enter('codeFencedFence') - effects.enter('codeFencedFenceSequence') - return sequenceOpen(code) - } - - /** - * In opening fence sequence. - * - * ```markdown - * > | ~~~js - * ^ - * | alert(1) - * | ~~~ - * ``` - * - * @type {State} - */ - function sequenceOpen(code) { - if (code === marker) { - sizeOpen++ - effects.consume(code) - return sequenceOpen - } - if (sizeOpen < 3) { - return nok(code) - } - effects.exit('codeFencedFenceSequence') - return markdownSpace(code) - ? factorySpace(effects, infoBefore, 'whitespace')(code) - : infoBefore(code) - } - - /** - * In opening fence, after the sequence (and optional whitespace), before info. - * - * ```markdown - * > | ~~~js - * ^ - * | alert(1) - * | ~~~ - * ``` - * - * @type {State} - */ - function infoBefore(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('codeFencedFence') - return self.interrupt - ? ok(code) - : effects.check(nonLazyContinuation, atNonLazyBreak, after)(code) - } - effects.enter('codeFencedFenceInfo') - effects.enter('chunkString', { - contentType: 'string' - }) - return info(code) - } - - /** - * In info. - * - * ```markdown - * > | ~~~js - * ^ - * | alert(1) - * | ~~~ - * ``` - * - * @type {State} - */ - function info(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('chunkString') - effects.exit('codeFencedFenceInfo') - return infoBefore(code) - } - if (markdownSpace(code)) { - effects.exit('chunkString') - effects.exit('codeFencedFenceInfo') - return factorySpace(effects, metaBefore, 'whitespace')(code) - } - if (code === 96 && code === marker) { - return nok(code) - } - effects.consume(code) - return info - } - - /** - * In opening fence, after info and whitespace, before meta. - * - * ```markdown - * > | ~~~js eval - * ^ - * | alert(1) - * | ~~~ - * ``` - * - * @type {State} - */ - function metaBefore(code) { - if (code === null || markdownLineEnding(code)) { - return infoBefore(code) - } - effects.enter('codeFencedFenceMeta') - effects.enter('chunkString', { - contentType: 'string' - }) - return meta(code) - } - - /** - * In meta. - * - * ```markdown - * > | ~~~js eval - * ^ - * | alert(1) - * | ~~~ - * ``` - * - * @type {State} - */ - function meta(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('chunkString') - effects.exit('codeFencedFenceMeta') - return infoBefore(code) - } - if (code === 96 && code === marker) { - return nok(code) - } - effects.consume(code) - return meta - } - - /** - * At eol/eof in code, before a non-lazy closing fence or content. - * - * ```markdown - * > | ~~~js - * ^ - * > | alert(1) - * ^ - * | ~~~ - * ``` - * - * @type {State} - */ - function atNonLazyBreak(code) { - return effects.attempt(closeStart, after, contentBefore)(code) - } - - /** - * Before code content, not a closing fence, at eol. - * - * ```markdown - * | ~~~js - * > | alert(1) - * ^ - * | ~~~ - * ``` - * - * @type {State} - */ - function contentBefore(code) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return contentStart - } - - /** - * Before code content, not a closing fence. - * - * ```markdown - * | ~~~js - * > | alert(1) - * ^ - * | ~~~ - * ``` - * - * @type {State} - */ - function contentStart(code) { - return initialPrefix > 0 && markdownSpace(code) - ? factorySpace( - effects, - beforeContentChunk, - 'linePrefix', - initialPrefix + 1 - )(code) - : beforeContentChunk(code) - } - - /** - * Before code content, after optional prefix. - * - * ```markdown - * | ~~~js - * > | alert(1) - * ^ - * | ~~~ - * ``` - * - * @type {State} - */ - function beforeContentChunk(code) { - if (code === null || markdownLineEnding(code)) { - return effects.check(nonLazyContinuation, atNonLazyBreak, after)(code) - } - effects.enter('codeFlowValue') - return contentChunk(code) - } - - /** - * In code content. - * - * ```markdown - * | ~~~js - * > | alert(1) - * ^^^^^^^^ - * | ~~~ - * ``` - * - * @type {State} - */ - function contentChunk(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('codeFlowValue') - return beforeContentChunk(code) - } - effects.consume(code) - return contentChunk - } - - /** - * After code. - * - * ```markdown - * | ~~~js - * | alert(1) - * > | ~~~ - * ^ - * ``` - * - * @type {State} - */ - function after(code) { - effects.exit('codeFenced') - return ok(code) - } - - /** - * @this {TokenizeContext} - * @type {Tokenizer} - */ - function tokenizeCloseStart(effects, ok, nok) { - let size = 0 - return startBefore - - /** - * - * - * @type {State} - */ - function startBefore(code) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return start - } - - /** - * Before closing fence, at optional whitespace. - * - * ```markdown - * | ~~~js - * | alert(1) - * > | ~~~ - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - // Always populated by defaults. - - // To do: `enter` here or in next state? - effects.enter('codeFencedFence') - return markdownSpace(code) - ? factorySpace( - effects, - beforeSequenceClose, - 'linePrefix', - self.parser.constructs.disable.null.includes('codeIndented') - ? undefined - : 4 - )(code) - : beforeSequenceClose(code) - } - - /** - * In closing fence, after optional whitespace, at sequence. - * - * ```markdown - * | ~~~js - * | alert(1) - * > | ~~~ - * ^ - * ``` - * - * @type {State} - */ - function beforeSequenceClose(code) { - if (code === marker) { - effects.enter('codeFencedFenceSequence') - return sequenceClose(code) - } - return nok(code) - } - - /** - * In closing fence sequence. - * - * ```markdown - * | ~~~js - * | alert(1) - * > | ~~~ - * ^ - * ``` - * - * @type {State} - */ - function sequenceClose(code) { - if (code === marker) { - size++ - effects.consume(code) - return sequenceClose - } - if (size >= sizeOpen) { - effects.exit('codeFencedFenceSequence') - return markdownSpace(code) - ? factorySpace(effects, sequenceCloseAfter, 'whitespace')(code) - : sequenceCloseAfter(code) - } - return nok(code) - } - - /** - * After closing fence sequence, after optional whitespace. - * - * ```markdown - * | ~~~js - * | alert(1) - * > | ~~~ - * ^ - * ``` - * - * @type {State} - */ - function sequenceCloseAfter(code) { - if (code === null || markdownLineEnding(code)) { - effects.exit('codeFencedFence') - return ok(code) - } - return nok(code) - } - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeNonLazyContinuation(effects, ok, nok) { - const self = this - return start - - /** - * - * - * @type {State} - */ - function start(code) { - if (code === null) { - return nok(code) - } - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return lineStart - } - - /** - * - * - * @type {State} - */ - function lineStart(code) { - return self.parser.lazy[self.now().line] ? nok(code) : ok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/character-entities/index.js -/** - * Map of named character references. - * - * @type {Record<string, string>} - */ -const characterEntities = { - AElig: 'Æ', - AMP: '&', - Aacute: 'Á', - Abreve: 'Ă', - Acirc: 'Â', - Acy: 'А', - Afr: '𝔄', - Agrave: 'À', - Alpha: 'Α', - Amacr: 'Ā', - And: '⩓', - Aogon: 'Ą', - Aopf: '𝔸', - ApplyFunction: '⁡', - Aring: 'Å', - Ascr: '𝒜', - Assign: '≔', - Atilde: 'Ã', - Auml: 'Ä', - Backslash: '∖', - Barv: '⫧', - Barwed: '⌆', - Bcy: 'Б', - Because: '∵', - Bernoullis: 'ℬ', - Beta: 'Β', - Bfr: '𝔅', - Bopf: '𝔹', - Breve: '˘', - Bscr: 'ℬ', - Bumpeq: '≎', - CHcy: 'Ч', - COPY: '©', - Cacute: 'Ć', - Cap: '⋒', - CapitalDifferentialD: 'ⅅ', - Cayleys: 'ℭ', - Ccaron: 'Č', - Ccedil: 'Ç', - Ccirc: 'Ĉ', - Cconint: '∰', - Cdot: 'Ċ', - Cedilla: '¸', - CenterDot: '·', - Cfr: 'ℭ', - Chi: 'Χ', - CircleDot: '⊙', - CircleMinus: '⊖', - CirclePlus: '⊕', - CircleTimes: '⊗', - ClockwiseContourIntegral: '∲', - CloseCurlyDoubleQuote: '”', - CloseCurlyQuote: '’', - Colon: '∷', - Colone: '⩴', - Congruent: '≡', - Conint: '∯', - ContourIntegral: '∮', - Copf: 'ℂ', - Coproduct: '∐', - CounterClockwiseContourIntegral: '∳', - Cross: '⨯', - Cscr: '𝒞', - Cup: '⋓', - CupCap: '≍', - DD: 'ⅅ', - DDotrahd: '⤑', - DJcy: 'Ђ', - DScy: 'Ѕ', - DZcy: 'Џ', - Dagger: '‡', - Darr: '↡', - Dashv: '⫤', - Dcaron: 'Ď', - Dcy: 'Д', - Del: '∇', - Delta: 'Δ', - Dfr: '𝔇', - DiacriticalAcute: '´', - DiacriticalDot: '˙', - DiacriticalDoubleAcute: '˝', - DiacriticalGrave: '`', - DiacriticalTilde: '˜', - Diamond: '⋄', - DifferentialD: 'ⅆ', - Dopf: '𝔻', - Dot: '¨', - DotDot: '⃜', - DotEqual: '≐', - DoubleContourIntegral: '∯', - DoubleDot: '¨', - DoubleDownArrow: '⇓', - DoubleLeftArrow: '⇐', - DoubleLeftRightArrow: '⇔', - DoubleLeftTee: '⫤', - DoubleLongLeftArrow: '⟸', - DoubleLongLeftRightArrow: '⟺', - DoubleLongRightArrow: '⟹', - DoubleRightArrow: '⇒', - DoubleRightTee: '⊨', - DoubleUpArrow: '⇑', - DoubleUpDownArrow: '⇕', - DoubleVerticalBar: '∥', - DownArrow: '↓', - DownArrowBar: '⤓', - DownArrowUpArrow: '⇵', - DownBreve: '̑', - DownLeftRightVector: '⥐', - DownLeftTeeVector: '⥞', - DownLeftVector: '↽', - DownLeftVectorBar: '⥖', - DownRightTeeVector: '⥟', - DownRightVector: '⇁', - DownRightVectorBar: '⥗', - DownTee: '⊤', - DownTeeArrow: '↧', - Downarrow: '⇓', - Dscr: '𝒟', - Dstrok: 'Đ', - ENG: 'Ŋ', - ETH: 'Ð', - Eacute: 'É', - Ecaron: 'Ě', - Ecirc: 'Ê', - Ecy: 'Э', - Edot: 'Ė', - Efr: '𝔈', - Egrave: 'È', - Element: '∈', - Emacr: 'Ē', - EmptySmallSquare: '◻', - EmptyVerySmallSquare: '▫', - Eogon: 'Ę', - Eopf: '𝔼', - Epsilon: 'Ε', - Equal: '⩵', - EqualTilde: '≂', - Equilibrium: '⇌', - Escr: 'ℰ', - Esim: '⩳', - Eta: 'Η', - Euml: 'Ë', - Exists: '∃', - ExponentialE: 'ⅇ', - Fcy: 'Ф', - Ffr: '𝔉', - FilledSmallSquare: '◼', - FilledVerySmallSquare: '▪', - Fopf: '𝔽', - ForAll: '∀', - Fouriertrf: 'ℱ', - Fscr: 'ℱ', - GJcy: 'Ѓ', - GT: '>', - Gamma: 'Γ', - Gammad: 'Ϝ', - Gbreve: 'Ğ', - Gcedil: 'Ģ', - Gcirc: 'Ĝ', - Gcy: 'Г', - Gdot: 'Ġ', - Gfr: '𝔊', - Gg: '⋙', - Gopf: '𝔾', - GreaterEqual: '≥', - GreaterEqualLess: '⋛', - GreaterFullEqual: '≧', - GreaterGreater: '⪢', - GreaterLess: '≷', - GreaterSlantEqual: '⩾', - GreaterTilde: '≳', - Gscr: '𝒢', - Gt: '≫', - HARDcy: 'Ъ', - Hacek: 'ˇ', - Hat: '^', - Hcirc: 'Ĥ', - Hfr: 'ℌ', - HilbertSpace: 'ℋ', - Hopf: 'ℍ', - HorizontalLine: '─', - Hscr: 'ℋ', - Hstrok: 'Ħ', - HumpDownHump: '≎', - HumpEqual: '≏', - IEcy: 'Е', - IJlig: 'IJ', - IOcy: 'Ё', - Iacute: 'Í', - Icirc: 'Î', - Icy: 'И', - Idot: 'İ', - Ifr: 'ℑ', - Igrave: 'Ì', - Im: 'ℑ', - Imacr: 'Ī', - ImaginaryI: 'ⅈ', - Implies: '⇒', - Int: '∬', - Integral: '∫', - Intersection: '⋂', - InvisibleComma: '⁣', - InvisibleTimes: '⁢', - Iogon: 'Į', - Iopf: '𝕀', - Iota: 'Ι', - Iscr: 'ℐ', - Itilde: 'Ĩ', - Iukcy: 'І', - Iuml: 'Ï', - Jcirc: 'Ĵ', - Jcy: 'Й', - Jfr: '𝔍', - Jopf: '𝕁', - Jscr: '𝒥', - Jsercy: 'Ј', - Jukcy: 'Є', - KHcy: 'Х', - KJcy: 'Ќ', - Kappa: 'Κ', - Kcedil: 'Ķ', - Kcy: 'К', - Kfr: '𝔎', - Kopf: '𝕂', - Kscr: '𝒦', - LJcy: 'Љ', - LT: '<', - Lacute: 'Ĺ', - Lambda: 'Λ', - Lang: '⟪', - Laplacetrf: 'ℒ', - Larr: '↞', - Lcaron: 'Ľ', - Lcedil: 'Ļ', - Lcy: 'Л', - LeftAngleBracket: '⟨', - LeftArrow: '←', - LeftArrowBar: '⇤', - LeftArrowRightArrow: '⇆', - LeftCeiling: '⌈', - LeftDoubleBracket: '⟦', - LeftDownTeeVector: '⥡', - LeftDownVector: '⇃', - LeftDownVectorBar: '⥙', - LeftFloor: '⌊', - LeftRightArrow: '↔', - LeftRightVector: '⥎', - LeftTee: '⊣', - LeftTeeArrow: '↤', - LeftTeeVector: '⥚', - LeftTriangle: '⊲', - LeftTriangleBar: '⧏', - LeftTriangleEqual: '⊴', - LeftUpDownVector: '⥑', - LeftUpTeeVector: '⥠', - LeftUpVector: '↿', - LeftUpVectorBar: '⥘', - LeftVector: '↼', - LeftVectorBar: '⥒', - Leftarrow: '⇐', - Leftrightarrow: '⇔', - LessEqualGreater: '⋚', - LessFullEqual: '≦', - LessGreater: '≶', - LessLess: '⪡', - LessSlantEqual: '⩽', - LessTilde: '≲', - Lfr: '𝔏', - Ll: '⋘', - Lleftarrow: '⇚', - Lmidot: 'Ŀ', - LongLeftArrow: '⟵', - LongLeftRightArrow: '⟷', - LongRightArrow: '⟶', - Longleftarrow: '⟸', - Longleftrightarrow: '⟺', - Longrightarrow: '⟹', - Lopf: '𝕃', - LowerLeftArrow: '↙', - LowerRightArrow: '↘', - Lscr: 'ℒ', - Lsh: '↰', - Lstrok: 'Ł', - Lt: '≪', - Map: '⤅', - Mcy: 'М', - MediumSpace: ' ', - Mellintrf: 'ℳ', - Mfr: '𝔐', - MinusPlus: '∓', - Mopf: '𝕄', - Mscr: 'ℳ', - Mu: 'Μ', - NJcy: 'Њ', - Nacute: 'Ń', - Ncaron: 'Ň', - Ncedil: 'Ņ', - Ncy: 'Н', - NegativeMediumSpace: '​', - NegativeThickSpace: '​', - NegativeThinSpace: '​', - NegativeVeryThinSpace: '​', - NestedGreaterGreater: '≫', - NestedLessLess: '≪', - NewLine: '\n', - Nfr: '𝔑', - NoBreak: '⁠', - NonBreakingSpace: ' ', - Nopf: 'ℕ', - Not: '⫬', - NotCongruent: '≢', - NotCupCap: '≭', - NotDoubleVerticalBar: '∦', - NotElement: '∉', - NotEqual: '≠', - NotEqualTilde: '≂̸', - NotExists: '∄', - NotGreater: '≯', - NotGreaterEqual: '≱', - NotGreaterFullEqual: '≧̸', - NotGreaterGreater: '≫̸', - NotGreaterLess: '≹', - NotGreaterSlantEqual: '⩾̸', - NotGreaterTilde: '≵', - NotHumpDownHump: '≎̸', - NotHumpEqual: '≏̸', - NotLeftTriangle: '⋪', - NotLeftTriangleBar: '⧏̸', - NotLeftTriangleEqual: '⋬', - NotLess: '≮', - NotLessEqual: '≰', - NotLessGreater: '≸', - NotLessLess: '≪̸', - NotLessSlantEqual: '⩽̸', - NotLessTilde: '≴', - NotNestedGreaterGreater: '⪢̸', - NotNestedLessLess: '⪡̸', - NotPrecedes: '⊀', - NotPrecedesEqual: '⪯̸', - NotPrecedesSlantEqual: '⋠', - NotReverseElement: '∌', - NotRightTriangle: '⋫', - NotRightTriangleBar: '⧐̸', - NotRightTriangleEqual: '⋭', - NotSquareSubset: '⊏̸', - NotSquareSubsetEqual: '⋢', - NotSquareSuperset: '⊐̸', - NotSquareSupersetEqual: '⋣', - NotSubset: '⊂⃒', - NotSubsetEqual: '⊈', - NotSucceeds: '⊁', - NotSucceedsEqual: '⪰̸', - NotSucceedsSlantEqual: '⋡', - NotSucceedsTilde: '≿̸', - NotSuperset: '⊃⃒', - NotSupersetEqual: '⊉', - NotTilde: '≁', - NotTildeEqual: '≄', - NotTildeFullEqual: '≇', - NotTildeTilde: '≉', - NotVerticalBar: '∤', - Nscr: '𝒩', - Ntilde: 'Ñ', - Nu: 'Ν', - OElig: 'Œ', - Oacute: 'Ó', - Ocirc: 'Ô', - Ocy: 'О', - Odblac: 'Ő', - Ofr: '𝔒', - Ograve: 'Ò', - Omacr: 'Ō', - Omega: 'Ω', - Omicron: 'Ο', - Oopf: '𝕆', - OpenCurlyDoubleQuote: '“', - OpenCurlyQuote: '‘', - Or: '⩔', - Oscr: '𝒪', - Oslash: 'Ø', - Otilde: 'Õ', - Otimes: '⨷', - Ouml: 'Ö', - OverBar: '‾', - OverBrace: '⏞', - OverBracket: '⎴', - OverParenthesis: '⏜', - PartialD: '∂', - Pcy: 'П', - Pfr: '𝔓', - Phi: 'Φ', - Pi: 'Π', - PlusMinus: '±', - Poincareplane: 'ℌ', - Popf: 'ℙ', - Pr: '⪻', - Precedes: '≺', - PrecedesEqual: '⪯', - PrecedesSlantEqual: '≼', - PrecedesTilde: '≾', - Prime: '″', - Product: '∏', - Proportion: '∷', - Proportional: '∝', - Pscr: '𝒫', - Psi: 'Ψ', - QUOT: '"', - Qfr: '𝔔', - Qopf: 'ℚ', - Qscr: '𝒬', - RBarr: '⤐', - REG: '®', - Racute: 'Ŕ', - Rang: '⟫', - Rarr: '↠', - Rarrtl: '⤖', - Rcaron: 'Ř', - Rcedil: 'Ŗ', - Rcy: 'Р', - Re: 'ℜ', - ReverseElement: '∋', - ReverseEquilibrium: '⇋', - ReverseUpEquilibrium: '⥯', - Rfr: 'ℜ', - Rho: 'Ρ', - RightAngleBracket: '⟩', - RightArrow: '→', - RightArrowBar: '⇥', - RightArrowLeftArrow: '⇄', - RightCeiling: '⌉', - RightDoubleBracket: '⟧', - RightDownTeeVector: '⥝', - RightDownVector: '⇂', - RightDownVectorBar: '⥕', - RightFloor: '⌋', - RightTee: '⊢', - RightTeeArrow: '↦', - RightTeeVector: '⥛', - RightTriangle: '⊳', - RightTriangleBar: '⧐', - RightTriangleEqual: '⊵', - RightUpDownVector: '⥏', - RightUpTeeVector: '⥜', - RightUpVector: '↾', - RightUpVectorBar: '⥔', - RightVector: '⇀', - RightVectorBar: '⥓', - Rightarrow: '⇒', - Ropf: 'ℝ', - RoundImplies: '⥰', - Rrightarrow: '⇛', - Rscr: 'ℛ', - Rsh: '↱', - RuleDelayed: '⧴', - SHCHcy: 'Щ', - SHcy: 'Ш', - SOFTcy: 'Ь', - Sacute: 'Ś', - Sc: '⪼', - Scaron: 'Š', - Scedil: 'Ş', - Scirc: 'Ŝ', - Scy: 'С', - Sfr: '𝔖', - ShortDownArrow: '↓', - ShortLeftArrow: '←', - ShortRightArrow: '→', - ShortUpArrow: '↑', - Sigma: 'Σ', - SmallCircle: '∘', - Sopf: '𝕊', - Sqrt: '√', - Square: '□', - SquareIntersection: '⊓', - SquareSubset: '⊏', - SquareSubsetEqual: '⊑', - SquareSuperset: '⊐', - SquareSupersetEqual: '⊒', - SquareUnion: '⊔', - Sscr: '𝒮', - Star: '⋆', - Sub: '⋐', - Subset: '⋐', - SubsetEqual: '⊆', - Succeeds: '≻', - SucceedsEqual: '⪰', - SucceedsSlantEqual: '≽', - SucceedsTilde: '≿', - SuchThat: '∋', - Sum: '∑', - Sup: '⋑', - Superset: '⊃', - SupersetEqual: '⊇', - Supset: '⋑', - THORN: 'Þ', - TRADE: '™', - TSHcy: 'Ћ', - TScy: 'Ц', - Tab: '\t', - Tau: 'Τ', - Tcaron: 'Ť', - Tcedil: 'Ţ', - Tcy: 'Т', - Tfr: '𝔗', - Therefore: '∴', - Theta: 'Θ', - ThickSpace: '  ', - ThinSpace: ' ', - Tilde: '∼', - TildeEqual: '≃', - TildeFullEqual: '≅', - TildeTilde: '≈', - Topf: '𝕋', - TripleDot: '⃛', - Tscr: '𝒯', - Tstrok: 'Ŧ', - Uacute: 'Ú', - Uarr: '↟', - Uarrocir: '⥉', - Ubrcy: 'Ў', - Ubreve: 'Ŭ', - Ucirc: 'Û', - Ucy: 'У', - Udblac: 'Ű', - Ufr: '𝔘', - Ugrave: 'Ù', - Umacr: 'Ū', - UnderBar: '_', - UnderBrace: '⏟', - UnderBracket: '⎵', - UnderParenthesis: '⏝', - Union: '⋃', - UnionPlus: '⊎', - Uogon: 'Ų', - Uopf: '𝕌', - UpArrow: '↑', - UpArrowBar: '⤒', - UpArrowDownArrow: '⇅', - UpDownArrow: '↕', - UpEquilibrium: '⥮', - UpTee: '⊥', - UpTeeArrow: '↥', - Uparrow: '⇑', - Updownarrow: '⇕', - UpperLeftArrow: '↖', - UpperRightArrow: '↗', - Upsi: 'ϒ', - Upsilon: 'Υ', - Uring: 'Ů', - Uscr: '𝒰', - Utilde: 'Ũ', - Uuml: 'Ü', - VDash: '⊫', - Vbar: '⫫', - Vcy: 'В', - Vdash: '⊩', - Vdashl: '⫦', - Vee: '⋁', - Verbar: '‖', - Vert: '‖', - VerticalBar: '∣', - VerticalLine: '|', - VerticalSeparator: '❘', - VerticalTilde: '≀', - VeryThinSpace: ' ', - Vfr: '𝔙', - Vopf: '𝕍', - Vscr: '𝒱', - Vvdash: '⊪', - Wcirc: 'Ŵ', - Wedge: '⋀', - Wfr: '𝔚', - Wopf: '𝕎', - Wscr: '𝒲', - Xfr: '𝔛', - Xi: 'Ξ', - Xopf: '𝕏', - Xscr: '𝒳', - YAcy: 'Я', - YIcy: 'Ї', - YUcy: 'Ю', - Yacute: 'Ý', - Ycirc: 'Ŷ', - Ycy: 'Ы', - Yfr: '𝔜', - Yopf: '𝕐', - Yscr: '𝒴', - Yuml: 'Ÿ', - ZHcy: 'Ж', - Zacute: 'Ź', - Zcaron: 'Ž', - Zcy: 'З', - Zdot: 'Ż', - ZeroWidthSpace: '​', - Zeta: 'Ζ', - Zfr: 'ℨ', - Zopf: 'ℤ', - Zscr: '𝒵', - aacute: 'á', - abreve: 'ă', - ac: '∾', - acE: '∾̳', - acd: '∿', - acirc: 'â', - acute: '´', - acy: 'а', - aelig: 'æ', - af: '⁡', - afr: '𝔞', - agrave: 'à', - alefsym: 'ℵ', - aleph: 'ℵ', - alpha: 'α', - amacr: 'ā', - amalg: '⨿', - amp: '&', - and: '∧', - andand: '⩕', - andd: '⩜', - andslope: '⩘', - andv: '⩚', - ang: '∠', - ange: '⦤', - angle: '∠', - angmsd: '∡', - angmsdaa: '⦨', - angmsdab: '⦩', - angmsdac: '⦪', - angmsdad: '⦫', - angmsdae: '⦬', - angmsdaf: '⦭', - angmsdag: '⦮', - angmsdah: '⦯', - angrt: '∟', - angrtvb: '⊾', - angrtvbd: '⦝', - angsph: '∢', - angst: 'Å', - angzarr: '⍼', - aogon: 'ą', - aopf: '𝕒', - ap: '≈', - apE: '⩰', - apacir: '⩯', - ape: '≊', - apid: '≋', - apos: "'", - approx: '≈', - approxeq: '≊', - aring: 'å', - ascr: '𝒶', - ast: '*', - asymp: '≈', - asympeq: '≍', - atilde: 'ã', - auml: 'ä', - awconint: '∳', - awint: '⨑', - bNot: '⫭', - backcong: '≌', - backepsilon: '϶', - backprime: '‵', - backsim: '∽', - backsimeq: '⋍', - barvee: '⊽', - barwed: '⌅', - barwedge: '⌅', - bbrk: '⎵', - bbrktbrk: '⎶', - bcong: '≌', - bcy: 'б', - bdquo: '„', - becaus: '∵', - because: '∵', - bemptyv: '⦰', - bepsi: '϶', - bernou: 'ℬ', - beta: 'β', - beth: 'ℶ', - between: '≬', - bfr: '𝔟', - bigcap: '⋂', - bigcirc: '◯', - bigcup: '⋃', - bigodot: '⨀', - bigoplus: '⨁', - bigotimes: '⨂', - bigsqcup: '⨆', - bigstar: '★', - bigtriangledown: '▽', - bigtriangleup: '△', - biguplus: '⨄', - bigvee: '⋁', - bigwedge: '⋀', - bkarow: '⤍', - blacklozenge: '⧫', - blacksquare: '▪', - blacktriangle: '▴', - blacktriangledown: '▾', - blacktriangleleft: '◂', - blacktriangleright: '▸', - blank: '␣', - blk12: '▒', - blk14: '░', - blk34: '▓', - block: '█', - bne: '=⃥', - bnequiv: '≡⃥', - bnot: '⌐', - bopf: '𝕓', - bot: '⊥', - bottom: '⊥', - bowtie: '⋈', - boxDL: '╗', - boxDR: '╔', - boxDl: '╖', - boxDr: '╓', - boxH: '═', - boxHD: '╦', - boxHU: '╩', - boxHd: '╤', - boxHu: '╧', - boxUL: '╝', - boxUR: '╚', - boxUl: '╜', - boxUr: '╙', - boxV: '║', - boxVH: '╬', - boxVL: '╣', - boxVR: '╠', - boxVh: '╫', - boxVl: '╢', - boxVr: '╟', - boxbox: '⧉', - boxdL: '╕', - boxdR: '╒', - boxdl: '┐', - boxdr: '┌', - boxh: '─', - boxhD: '╥', - boxhU: '╨', - boxhd: '┬', - boxhu: '┴', - boxminus: '⊟', - boxplus: '⊞', - boxtimes: '⊠', - boxuL: '╛', - boxuR: '╘', - boxul: '┘', - boxur: '└', - boxv: '│', - boxvH: '╪', - boxvL: '╡', - boxvR: '╞', - boxvh: '┼', - boxvl: '┤', - boxvr: '├', - bprime: '‵', - breve: '˘', - brvbar: '¦', - bscr: '𝒷', - bsemi: '⁏', - bsim: '∽', - bsime: '⋍', - bsol: '\\', - bsolb: '⧅', - bsolhsub: '⟈', - bull: '•', - bullet: '•', - bump: '≎', - bumpE: '⪮', - bumpe: '≏', - bumpeq: '≏', - cacute: 'ć', - cap: '∩', - capand: '⩄', - capbrcup: '⩉', - capcap: '⩋', - capcup: '⩇', - capdot: '⩀', - caps: '∩︀', - caret: '⁁', - caron: 'ˇ', - ccaps: '⩍', - ccaron: 'č', - ccedil: 'ç', - ccirc: 'ĉ', - ccups: '⩌', - ccupssm: '⩐', - cdot: 'ċ', - cedil: '¸', - cemptyv: '⦲', - cent: '¢', - centerdot: '·', - cfr: '𝔠', - chcy: 'ч', - check: '✓', - checkmark: '✓', - chi: 'χ', - cir: '○', - cirE: '⧃', - circ: 'ˆ', - circeq: '≗', - circlearrowleft: '↺', - circlearrowright: '↻', - circledR: '®', - circledS: 'Ⓢ', - circledast: '⊛', - circledcirc: '⊚', - circleddash: '⊝', - cire: '≗', - cirfnint: '⨐', - cirmid: '⫯', - cirscir: '⧂', - clubs: '♣', - clubsuit: '♣', - colon: ':', - colone: '≔', - coloneq: '≔', - comma: ',', - commat: '@', - comp: '∁', - compfn: '∘', - complement: '∁', - complexes: 'ℂ', - cong: '≅', - congdot: '⩭', - conint: '∮', - copf: '𝕔', - coprod: '∐', - copy: '©', - copysr: '℗', - crarr: '↵', - cross: '✗', - cscr: '𝒸', - csub: '⫏', - csube: '⫑', - csup: '⫐', - csupe: '⫒', - ctdot: '⋯', - cudarrl: '⤸', - cudarrr: '⤵', - cuepr: '⋞', - cuesc: '⋟', - cularr: '↶', - cularrp: '⤽', - cup: '∪', - cupbrcap: '⩈', - cupcap: '⩆', - cupcup: '⩊', - cupdot: '⊍', - cupor: '⩅', - cups: '∪︀', - curarr: '↷', - curarrm: '⤼', - curlyeqprec: '⋞', - curlyeqsucc: '⋟', - curlyvee: '⋎', - curlywedge: '⋏', - curren: '¤', - curvearrowleft: '↶', - curvearrowright: '↷', - cuvee: '⋎', - cuwed: '⋏', - cwconint: '∲', - cwint: '∱', - cylcty: '⌭', - dArr: '⇓', - dHar: '⥥', - dagger: '†', - daleth: 'ℸ', - darr: '↓', - dash: '‐', - dashv: '⊣', - dbkarow: '⤏', - dblac: '˝', - dcaron: 'ď', - dcy: 'д', - dd: 'ⅆ', - ddagger: '‡', - ddarr: '⇊', - ddotseq: '⩷', - deg: '°', - delta: 'δ', - demptyv: '⦱', - dfisht: '⥿', - dfr: '𝔡', - dharl: '⇃', - dharr: '⇂', - diam: '⋄', - diamond: '⋄', - diamondsuit: '♦', - diams: '♦', - die: '¨', - digamma: 'ϝ', - disin: '⋲', - div: '÷', - divide: '÷', - divideontimes: '⋇', - divonx: '⋇', - djcy: 'ђ', - dlcorn: '⌞', - dlcrop: '⌍', - dollar: '$', - dopf: '𝕕', - dot: '˙', - doteq: '≐', - doteqdot: '≑', - dotminus: '∸', - dotplus: '∔', - dotsquare: '⊡', - doublebarwedge: '⌆', - downarrow: '↓', - downdownarrows: '⇊', - downharpoonleft: '⇃', - downharpoonright: '⇂', - drbkarow: '⤐', - drcorn: '⌟', - drcrop: '⌌', - dscr: '𝒹', - dscy: 'ѕ', - dsol: '⧶', - dstrok: 'đ', - dtdot: '⋱', - dtri: '▿', - dtrif: '▾', - duarr: '⇵', - duhar: '⥯', - dwangle: '⦦', - dzcy: 'џ', - dzigrarr: '⟿', - eDDot: '⩷', - eDot: '≑', - eacute: 'é', - easter: '⩮', - ecaron: 'ě', - ecir: '≖', - ecirc: 'ê', - ecolon: '≕', - ecy: 'э', - edot: 'ė', - ee: 'ⅇ', - efDot: '≒', - efr: '𝔢', - eg: '⪚', - egrave: 'è', - egs: '⪖', - egsdot: '⪘', - el: '⪙', - elinters: '⏧', - ell: 'ℓ', - els: '⪕', - elsdot: '⪗', - emacr: 'ē', - empty: '∅', - emptyset: '∅', - emptyv: '∅', - emsp13: ' ', - emsp14: ' ', - emsp: ' ', - eng: 'ŋ', - ensp: ' ', - eogon: 'ę', - eopf: '𝕖', - epar: '⋕', - eparsl: '⧣', - eplus: '⩱', - epsi: 'ε', - epsilon: 'ε', - epsiv: 'ϵ', - eqcirc: '≖', - eqcolon: '≕', - eqsim: '≂', - eqslantgtr: '⪖', - eqslantless: '⪕', - equals: '=', - equest: '≟', - equiv: '≡', - equivDD: '⩸', - eqvparsl: '⧥', - erDot: '≓', - erarr: '⥱', - escr: 'ℯ', - esdot: '≐', - esim: '≂', - eta: 'η', - eth: 'ð', - euml: 'ë', - euro: '€', - excl: '!', - exist: '∃', - expectation: 'ℰ', - exponentiale: 'ⅇ', - fallingdotseq: '≒', - fcy: 'ф', - female: '♀', - ffilig: 'ffi', - fflig: 'ff', - ffllig: 'ffl', - ffr: '𝔣', - filig: 'fi', - fjlig: 'fj', - flat: '♭', - fllig: 'fl', - fltns: '▱', - fnof: 'ƒ', - fopf: '𝕗', - forall: '∀', - fork: '⋔', - forkv: '⫙', - fpartint: '⨍', - frac12: '½', - frac13: '⅓', - frac14: '¼', - frac15: '⅕', - frac16: '⅙', - frac18: '⅛', - frac23: '⅔', - frac25: '⅖', - frac34: '¾', - frac35: '⅗', - frac38: '⅜', - frac45: '⅘', - frac56: '⅚', - frac58: '⅝', - frac78: '⅞', - frasl: '⁄', - frown: '⌢', - fscr: '𝒻', - gE: '≧', - gEl: '⪌', - gacute: 'ǵ', - gamma: 'γ', - gammad: 'ϝ', - gap: '⪆', - gbreve: 'ğ', - gcirc: 'ĝ', - gcy: 'г', - gdot: 'ġ', - ge: '≥', - gel: '⋛', - geq: '≥', - geqq: '≧', - geqslant: '⩾', - ges: '⩾', - gescc: '⪩', - gesdot: '⪀', - gesdoto: '⪂', - gesdotol: '⪄', - gesl: '⋛︀', - gesles: '⪔', - gfr: '𝔤', - gg: '≫', - ggg: '⋙', - gimel: 'ℷ', - gjcy: 'ѓ', - gl: '≷', - glE: '⪒', - gla: '⪥', - glj: '⪤', - gnE: '≩', - gnap: '⪊', - gnapprox: '⪊', - gne: '⪈', - gneq: '⪈', - gneqq: '≩', - gnsim: '⋧', - gopf: '𝕘', - grave: '`', - gscr: 'ℊ', - gsim: '≳', - gsime: '⪎', - gsiml: '⪐', - gt: '>', - gtcc: '⪧', - gtcir: '⩺', - gtdot: '⋗', - gtlPar: '⦕', - gtquest: '⩼', - gtrapprox: '⪆', - gtrarr: '⥸', - gtrdot: '⋗', - gtreqless: '⋛', - gtreqqless: '⪌', - gtrless: '≷', - gtrsim: '≳', - gvertneqq: '≩︀', - gvnE: '≩︀', - hArr: '⇔', - hairsp: ' ', - half: '½', - hamilt: 'ℋ', - hardcy: 'ъ', - harr: '↔', - harrcir: '⥈', - harrw: '↭', - hbar: 'ℏ', - hcirc: 'ĥ', - hearts: '♥', - heartsuit: '♥', - hellip: '…', - hercon: '⊹', - hfr: '𝔥', - hksearow: '⤥', - hkswarow: '⤦', - hoarr: '⇿', - homtht: '∻', - hookleftarrow: '↩', - hookrightarrow: '↪', - hopf: '𝕙', - horbar: '―', - hscr: '𝒽', - hslash: 'ℏ', - hstrok: 'ħ', - hybull: '⁃', - hyphen: '‐', - iacute: 'í', - ic: '⁣', - icirc: 'î', - icy: 'и', - iecy: 'е', - iexcl: '¡', - iff: '⇔', - ifr: '𝔦', - igrave: 'ì', - ii: 'ⅈ', - iiiint: '⨌', - iiint: '∭', - iinfin: '⧜', - iiota: '℩', - ijlig: 'ij', - imacr: 'ī', - image: 'ℑ', - imagline: 'ℐ', - imagpart: 'ℑ', - imath: 'ı', - imof: '⊷', - imped: 'Ƶ', - in: '∈', - incare: '℅', - infin: '∞', - infintie: '⧝', - inodot: 'ı', - int: '∫', - intcal: '⊺', - integers: 'ℤ', - intercal: '⊺', - intlarhk: '⨗', - intprod: '⨼', - iocy: 'ё', - iogon: 'į', - iopf: '𝕚', - iota: 'ι', - iprod: '⨼', - iquest: '¿', - iscr: '𝒾', - isin: '∈', - isinE: '⋹', - isindot: '⋵', - isins: '⋴', - isinsv: '⋳', - isinv: '∈', - it: '⁢', - itilde: 'ĩ', - iukcy: 'і', - iuml: 'ï', - jcirc: 'ĵ', - jcy: 'й', - jfr: '𝔧', - jmath: 'ȷ', - jopf: '𝕛', - jscr: '𝒿', - jsercy: 'ј', - jukcy: 'є', - kappa: 'κ', - kappav: 'ϰ', - kcedil: 'ķ', - kcy: 'к', - kfr: '𝔨', - kgreen: 'ĸ', - khcy: 'х', - kjcy: 'ќ', - kopf: '𝕜', - kscr: '𝓀', - lAarr: '⇚', - lArr: '⇐', - lAtail: '⤛', - lBarr: '⤎', - lE: '≦', - lEg: '⪋', - lHar: '⥢', - lacute: 'ĺ', - laemptyv: '⦴', - lagran: 'ℒ', - lambda: 'λ', - lang: '⟨', - langd: '⦑', - langle: '⟨', - lap: '⪅', - laquo: '«', - larr: '←', - larrb: '⇤', - larrbfs: '⤟', - larrfs: '⤝', - larrhk: '↩', - larrlp: '↫', - larrpl: '⤹', - larrsim: '⥳', - larrtl: '↢', - lat: '⪫', - latail: '⤙', - late: '⪭', - lates: '⪭︀', - lbarr: '⤌', - lbbrk: '❲', - lbrace: '{', - lbrack: '[', - lbrke: '⦋', - lbrksld: '⦏', - lbrkslu: '⦍', - lcaron: 'ľ', - lcedil: 'ļ', - lceil: '⌈', - lcub: '{', - lcy: 'л', - ldca: '⤶', - ldquo: '“', - ldquor: '„', - ldrdhar: '⥧', - ldrushar: '⥋', - ldsh: '↲', - le: '≤', - leftarrow: '←', - leftarrowtail: '↢', - leftharpoondown: '↽', - leftharpoonup: '↼', - leftleftarrows: '⇇', - leftrightarrow: '↔', - leftrightarrows: '⇆', - leftrightharpoons: '⇋', - leftrightsquigarrow: '↭', - leftthreetimes: '⋋', - leg: '⋚', - leq: '≤', - leqq: '≦', - leqslant: '⩽', - les: '⩽', - lescc: '⪨', - lesdot: '⩿', - lesdoto: '⪁', - lesdotor: '⪃', - lesg: '⋚︀', - lesges: '⪓', - lessapprox: '⪅', - lessdot: '⋖', - lesseqgtr: '⋚', - lesseqqgtr: '⪋', - lessgtr: '≶', - lesssim: '≲', - lfisht: '⥼', - lfloor: '⌊', - lfr: '𝔩', - lg: '≶', - lgE: '⪑', - lhard: '↽', - lharu: '↼', - lharul: '⥪', - lhblk: '▄', - ljcy: 'љ', - ll: '≪', - llarr: '⇇', - llcorner: '⌞', - llhard: '⥫', - lltri: '◺', - lmidot: 'ŀ', - lmoust: '⎰', - lmoustache: '⎰', - lnE: '≨', - lnap: '⪉', - lnapprox: '⪉', - lne: '⪇', - lneq: '⪇', - lneqq: '≨', - lnsim: '⋦', - loang: '⟬', - loarr: '⇽', - lobrk: '⟦', - longleftarrow: '⟵', - longleftrightarrow: '⟷', - longmapsto: '⟼', - longrightarrow: '⟶', - looparrowleft: '↫', - looparrowright: '↬', - lopar: '⦅', - lopf: '𝕝', - loplus: '⨭', - lotimes: '⨴', - lowast: '∗', - lowbar: '_', - loz: '◊', - lozenge: '◊', - lozf: '⧫', - lpar: '(', - lparlt: '⦓', - lrarr: '⇆', - lrcorner: '⌟', - lrhar: '⇋', - lrhard: '⥭', - lrm: '‎', - lrtri: '⊿', - lsaquo: '‹', - lscr: '𝓁', - lsh: '↰', - lsim: '≲', - lsime: '⪍', - lsimg: '⪏', - lsqb: '[', - lsquo: '‘', - lsquor: '‚', - lstrok: 'ł', - lt: '<', - ltcc: '⪦', - ltcir: '⩹', - ltdot: '⋖', - lthree: '⋋', - ltimes: '⋉', - ltlarr: '⥶', - ltquest: '⩻', - ltrPar: '⦖', - ltri: '◃', - ltrie: '⊴', - ltrif: '◂', - lurdshar: '⥊', - luruhar: '⥦', - lvertneqq: '≨︀', - lvnE: '≨︀', - mDDot: '∺', - macr: '¯', - male: '♂', - malt: '✠', - maltese: '✠', - map: '↦', - mapsto: '↦', - mapstodown: '↧', - mapstoleft: '↤', - mapstoup: '↥', - marker: '▮', - mcomma: '⨩', - mcy: 'м', - mdash: '—', - measuredangle: '∡', - mfr: '𝔪', - mho: '℧', - micro: 'µ', - mid: '∣', - midast: '*', - midcir: '⫰', - middot: '·', - minus: '−', - minusb: '⊟', - minusd: '∸', - minusdu: '⨪', - mlcp: '⫛', - mldr: '…', - mnplus: '∓', - models: '⊧', - mopf: '𝕞', - mp: '∓', - mscr: '𝓂', - mstpos: '∾', - mu: 'μ', - multimap: '⊸', - mumap: '⊸', - nGg: '⋙̸', - nGt: '≫⃒', - nGtv: '≫̸', - nLeftarrow: '⇍', - nLeftrightarrow: '⇎', - nLl: '⋘̸', - nLt: '≪⃒', - nLtv: '≪̸', - nRightarrow: '⇏', - nVDash: '⊯', - nVdash: '⊮', - nabla: '∇', - nacute: 'ń', - nang: '∠⃒', - nap: '≉', - napE: '⩰̸', - napid: '≋̸', - napos: 'ʼn', - napprox: '≉', - natur: '♮', - natural: '♮', - naturals: 'ℕ', - nbsp: ' ', - nbump: '≎̸', - nbumpe: '≏̸', - ncap: '⩃', - ncaron: 'ň', - ncedil: 'ņ', - ncong: '≇', - ncongdot: '⩭̸', - ncup: '⩂', - ncy: 'н', - ndash: '–', - ne: '≠', - neArr: '⇗', - nearhk: '⤤', - nearr: '↗', - nearrow: '↗', - nedot: '≐̸', - nequiv: '≢', - nesear: '⤨', - nesim: '≂̸', - nexist: '∄', - nexists: '∄', - nfr: '𝔫', - ngE: '≧̸', - nge: '≱', - ngeq: '≱', - ngeqq: '≧̸', - ngeqslant: '⩾̸', - nges: '⩾̸', - ngsim: '≵', - ngt: '≯', - ngtr: '≯', - nhArr: '⇎', - nharr: '↮', - nhpar: '⫲', - ni: '∋', - nis: '⋼', - nisd: '⋺', - niv: '∋', - njcy: 'њ', - nlArr: '⇍', - nlE: '≦̸', - nlarr: '↚', - nldr: '‥', - nle: '≰', - nleftarrow: '↚', - nleftrightarrow: '↮', - nleq: '≰', - nleqq: '≦̸', - nleqslant: '⩽̸', - nles: '⩽̸', - nless: '≮', - nlsim: '≴', - nlt: '≮', - nltri: '⋪', - nltrie: '⋬', - nmid: '∤', - nopf: '𝕟', - not: '¬', - notin: '∉', - notinE: '⋹̸', - notindot: '⋵̸', - notinva: '∉', - notinvb: '⋷', - notinvc: '⋶', - notni: '∌', - notniva: '∌', - notnivb: '⋾', - notnivc: '⋽', - npar: '∦', - nparallel: '∦', - nparsl: '⫽⃥', - npart: '∂̸', - npolint: '⨔', - npr: '⊀', - nprcue: '⋠', - npre: '⪯̸', - nprec: '⊀', - npreceq: '⪯̸', - nrArr: '⇏', - nrarr: '↛', - nrarrc: '⤳̸', - nrarrw: '↝̸', - nrightarrow: '↛', - nrtri: '⋫', - nrtrie: '⋭', - nsc: '⊁', - nsccue: '⋡', - nsce: '⪰̸', - nscr: '𝓃', - nshortmid: '∤', - nshortparallel: '∦', - nsim: '≁', - nsime: '≄', - nsimeq: '≄', - nsmid: '∤', - nspar: '∦', - nsqsube: '⋢', - nsqsupe: '⋣', - nsub: '⊄', - nsubE: '⫅̸', - nsube: '⊈', - nsubset: '⊂⃒', - nsubseteq: '⊈', - nsubseteqq: '⫅̸', - nsucc: '⊁', - nsucceq: '⪰̸', - nsup: '⊅', - nsupE: '⫆̸', - nsupe: '⊉', - nsupset: '⊃⃒', - nsupseteq: '⊉', - nsupseteqq: '⫆̸', - ntgl: '≹', - ntilde: 'ñ', - ntlg: '≸', - ntriangleleft: '⋪', - ntrianglelefteq: '⋬', - ntriangleright: '⋫', - ntrianglerighteq: '⋭', - nu: 'ν', - num: '#', - numero: '№', - numsp: ' ', - nvDash: '⊭', - nvHarr: '⤄', - nvap: '≍⃒', - nvdash: '⊬', - nvge: '≥⃒', - nvgt: '>⃒', - nvinfin: '⧞', - nvlArr: '⤂', - nvle: '≤⃒', - nvlt: '<⃒', - nvltrie: '⊴⃒', - nvrArr: '⤃', - nvrtrie: '⊵⃒', - nvsim: '∼⃒', - nwArr: '⇖', - nwarhk: '⤣', - nwarr: '↖', - nwarrow: '↖', - nwnear: '⤧', - oS: 'Ⓢ', - oacute: 'ó', - oast: '⊛', - ocir: '⊚', - ocirc: 'ô', - ocy: 'о', - odash: '⊝', - odblac: 'ő', - odiv: '⨸', - odot: '⊙', - odsold: '⦼', - oelig: 'œ', - ofcir: '⦿', - ofr: '𝔬', - ogon: '˛', - ograve: 'ò', - ogt: '⧁', - ohbar: '⦵', - ohm: 'Ω', - oint: '∮', - olarr: '↺', - olcir: '⦾', - olcross: '⦻', - oline: '‾', - olt: '⧀', - omacr: 'ō', - omega: 'ω', - omicron: 'ο', - omid: '⦶', - ominus: '⊖', - oopf: '𝕠', - opar: '⦷', - operp: '⦹', - oplus: '⊕', - or: '∨', - orarr: '↻', - ord: '⩝', - order: 'ℴ', - orderof: 'ℴ', - ordf: 'ª', - ordm: 'º', - origof: '⊶', - oror: '⩖', - orslope: '⩗', - orv: '⩛', - oscr: 'ℴ', - oslash: 'ø', - osol: '⊘', - otilde: 'õ', - otimes: '⊗', - otimesas: '⨶', - ouml: 'ö', - ovbar: '⌽', - par: '∥', - para: '¶', - parallel: '∥', - parsim: '⫳', - parsl: '⫽', - part: '∂', - pcy: 'п', - percnt: '%', - period: '.', - permil: '‰', - perp: '⊥', - pertenk: '‱', - pfr: '𝔭', - phi: 'φ', - phiv: 'ϕ', - phmmat: 'ℳ', - phone: '☎', - pi: 'π', - pitchfork: '⋔', - piv: 'ϖ', - planck: 'ℏ', - planckh: 'ℎ', - plankv: 'ℏ', - plus: '+', - plusacir: '⨣', - plusb: '⊞', - pluscir: '⨢', - plusdo: '∔', - plusdu: '⨥', - pluse: '⩲', - plusmn: '±', - plussim: '⨦', - plustwo: '⨧', - pm: '±', - pointint: '⨕', - popf: '𝕡', - pound: '£', - pr: '≺', - prE: '⪳', - prap: '⪷', - prcue: '≼', - pre: '⪯', - prec: '≺', - precapprox: '⪷', - preccurlyeq: '≼', - preceq: '⪯', - precnapprox: '⪹', - precneqq: '⪵', - precnsim: '⋨', - precsim: '≾', - prime: '′', - primes: 'ℙ', - prnE: '⪵', - prnap: '⪹', - prnsim: '⋨', - prod: '∏', - profalar: '⌮', - profline: '⌒', - profsurf: '⌓', - prop: '∝', - propto: '∝', - prsim: '≾', - prurel: '⊰', - pscr: '𝓅', - psi: 'ψ', - puncsp: ' ', - qfr: '𝔮', - qint: '⨌', - qopf: '𝕢', - qprime: '⁗', - qscr: '𝓆', - quaternions: 'ℍ', - quatint: '⨖', - quest: '?', - questeq: '≟', - quot: '"', - rAarr: '⇛', - rArr: '⇒', - rAtail: '⤜', - rBarr: '⤏', - rHar: '⥤', - race: '∽̱', - racute: 'ŕ', - radic: '√', - raemptyv: '⦳', - rang: '⟩', - rangd: '⦒', - range: '⦥', - rangle: '⟩', - raquo: '»', - rarr: '→', - rarrap: '⥵', - rarrb: '⇥', - rarrbfs: '⤠', - rarrc: '⤳', - rarrfs: '⤞', - rarrhk: '↪', - rarrlp: '↬', - rarrpl: '⥅', - rarrsim: '⥴', - rarrtl: '↣', - rarrw: '↝', - ratail: '⤚', - ratio: '∶', - rationals: 'ℚ', - rbarr: '⤍', - rbbrk: '❳', - rbrace: '}', - rbrack: ']', - rbrke: '⦌', - rbrksld: '⦎', - rbrkslu: '⦐', - rcaron: 'ř', - rcedil: 'ŗ', - rceil: '⌉', - rcub: '}', - rcy: 'р', - rdca: '⤷', - rdldhar: '⥩', - rdquo: '”', - rdquor: '”', - rdsh: '↳', - real: 'ℜ', - realine: 'ℛ', - realpart: 'ℜ', - reals: 'ℝ', - rect: '▭', - reg: '®', - rfisht: '⥽', - rfloor: '⌋', - rfr: '𝔯', - rhard: '⇁', - rharu: '⇀', - rharul: '⥬', - rho: 'ρ', - rhov: 'ϱ', - rightarrow: '→', - rightarrowtail: '↣', - rightharpoondown: '⇁', - rightharpoonup: '⇀', - rightleftarrows: '⇄', - rightleftharpoons: '⇌', - rightrightarrows: '⇉', - rightsquigarrow: '↝', - rightthreetimes: '⋌', - ring: '˚', - risingdotseq: '≓', - rlarr: '⇄', - rlhar: '⇌', - rlm: '‏', - rmoust: '⎱', - rmoustache: '⎱', - rnmid: '⫮', - roang: '⟭', - roarr: '⇾', - robrk: '⟧', - ropar: '⦆', - ropf: '𝕣', - roplus: '⨮', - rotimes: '⨵', - rpar: ')', - rpargt: '⦔', - rppolint: '⨒', - rrarr: '⇉', - rsaquo: '›', - rscr: '𝓇', - rsh: '↱', - rsqb: ']', - rsquo: '’', - rsquor: '’', - rthree: '⋌', - rtimes: '⋊', - rtri: '▹', - rtrie: '⊵', - rtrif: '▸', - rtriltri: '⧎', - ruluhar: '⥨', - rx: '℞', - sacute: 'ś', - sbquo: '‚', - sc: '≻', - scE: '⪴', - scap: '⪸', - scaron: 'š', - sccue: '≽', - sce: '⪰', - scedil: 'ş', - scirc: 'ŝ', - scnE: '⪶', - scnap: '⪺', - scnsim: '⋩', - scpolint: '⨓', - scsim: '≿', - scy: 'с', - sdot: '⋅', - sdotb: '⊡', - sdote: '⩦', - seArr: '⇘', - searhk: '⤥', - searr: '↘', - searrow: '↘', - sect: '§', - semi: ';', - seswar: '⤩', - setminus: '∖', - setmn: '∖', - sext: '✶', - sfr: '𝔰', - sfrown: '⌢', - sharp: '♯', - shchcy: 'щ', - shcy: 'ш', - shortmid: '∣', - shortparallel: '∥', - shy: '­', - sigma: 'σ', - sigmaf: 'ς', - sigmav: 'ς', - sim: '∼', - simdot: '⩪', - sime: '≃', - simeq: '≃', - simg: '⪞', - simgE: '⪠', - siml: '⪝', - simlE: '⪟', - simne: '≆', - simplus: '⨤', - simrarr: '⥲', - slarr: '←', - smallsetminus: '∖', - smashp: '⨳', - smeparsl: '⧤', - smid: '∣', - smile: '⌣', - smt: '⪪', - smte: '⪬', - smtes: '⪬︀', - softcy: 'ь', - sol: '/', - solb: '⧄', - solbar: '⌿', - sopf: '𝕤', - spades: '♠', - spadesuit: '♠', - spar: '∥', - sqcap: '⊓', - sqcaps: '⊓︀', - sqcup: '⊔', - sqcups: '⊔︀', - sqsub: '⊏', - sqsube: '⊑', - sqsubset: '⊏', - sqsubseteq: '⊑', - sqsup: '⊐', - sqsupe: '⊒', - sqsupset: '⊐', - sqsupseteq: '⊒', - squ: '□', - square: '□', - squarf: '▪', - squf: '▪', - srarr: '→', - sscr: '𝓈', - ssetmn: '∖', - ssmile: '⌣', - sstarf: '⋆', - star: '☆', - starf: '★', - straightepsilon: 'ϵ', - straightphi: 'ϕ', - strns: '¯', - sub: '⊂', - subE: '⫅', - subdot: '⪽', - sube: '⊆', - subedot: '⫃', - submult: '⫁', - subnE: '⫋', - subne: '⊊', - subplus: '⪿', - subrarr: '⥹', - subset: '⊂', - subseteq: '⊆', - subseteqq: '⫅', - subsetneq: '⊊', - subsetneqq: '⫋', - subsim: '⫇', - subsub: '⫕', - subsup: '⫓', - succ: '≻', - succapprox: '⪸', - succcurlyeq: '≽', - succeq: '⪰', - succnapprox: '⪺', - succneqq: '⪶', - succnsim: '⋩', - succsim: '≿', - sum: '∑', - sung: '♪', - sup1: '¹', - sup2: '²', - sup3: '³', - sup: '⊃', - supE: '⫆', - supdot: '⪾', - supdsub: '⫘', - supe: '⊇', - supedot: '⫄', - suphsol: '⟉', - suphsub: '⫗', - suplarr: '⥻', - supmult: '⫂', - supnE: '⫌', - supne: '⊋', - supplus: '⫀', - supset: '⊃', - supseteq: '⊇', - supseteqq: '⫆', - supsetneq: '⊋', - supsetneqq: '⫌', - supsim: '⫈', - supsub: '⫔', - supsup: '⫖', - swArr: '⇙', - swarhk: '⤦', - swarr: '↙', - swarrow: '↙', - swnwar: '⤪', - szlig: 'ß', - target: '⌖', - tau: 'τ', - tbrk: '⎴', - tcaron: 'ť', - tcedil: 'ţ', - tcy: 'т', - tdot: '⃛', - telrec: '⌕', - tfr: '𝔱', - there4: '∴', - therefore: '∴', - theta: 'θ', - thetasym: 'ϑ', - thetav: 'ϑ', - thickapprox: '≈', - thicksim: '∼', - thinsp: ' ', - thkap: '≈', - thksim: '∼', - thorn: 'þ', - tilde: '˜', - times: '×', - timesb: '⊠', - timesbar: '⨱', - timesd: '⨰', - tint: '∭', - toea: '⤨', - top: '⊤', - topbot: '⌶', - topcir: '⫱', - topf: '𝕥', - topfork: '⫚', - tosa: '⤩', - tprime: '‴', - trade: '™', - triangle: '▵', - triangledown: '▿', - triangleleft: '◃', - trianglelefteq: '⊴', - triangleq: '≜', - triangleright: '▹', - trianglerighteq: '⊵', - tridot: '◬', - trie: '≜', - triminus: '⨺', - triplus: '⨹', - trisb: '⧍', - tritime: '⨻', - trpezium: '⏢', - tscr: '𝓉', - tscy: 'ц', - tshcy: 'ћ', - tstrok: 'ŧ', - twixt: '≬', - twoheadleftarrow: '↞', - twoheadrightarrow: '↠', - uArr: '⇑', - uHar: '⥣', - uacute: 'ú', - uarr: '↑', - ubrcy: 'ў', - ubreve: 'ŭ', - ucirc: 'û', - ucy: 'у', - udarr: '⇅', - udblac: 'ű', - udhar: '⥮', - ufisht: '⥾', - ufr: '𝔲', - ugrave: 'ù', - uharl: '↿', - uharr: '↾', - uhblk: '▀', - ulcorn: '⌜', - ulcorner: '⌜', - ulcrop: '⌏', - ultri: '◸', - umacr: 'ū', - uml: '¨', - uogon: 'ų', - uopf: '𝕦', - uparrow: '↑', - updownarrow: '↕', - upharpoonleft: '↿', - upharpoonright: '↾', - uplus: '⊎', - upsi: 'υ', - upsih: 'ϒ', - upsilon: 'υ', - upuparrows: '⇈', - urcorn: '⌝', - urcorner: '⌝', - urcrop: '⌎', - uring: 'ů', - urtri: '◹', - uscr: '𝓊', - utdot: '⋰', - utilde: 'ũ', - utri: '▵', - utrif: '▴', - uuarr: '⇈', - uuml: 'ü', - uwangle: '⦧', - vArr: '⇕', - vBar: '⫨', - vBarv: '⫩', - vDash: '⊨', - vangrt: '⦜', - varepsilon: 'ϵ', - varkappa: 'ϰ', - varnothing: '∅', - varphi: 'ϕ', - varpi: 'ϖ', - varpropto: '∝', - varr: '↕', - varrho: 'ϱ', - varsigma: 'ς', - varsubsetneq: '⊊︀', - varsubsetneqq: '⫋︀', - varsupsetneq: '⊋︀', - varsupsetneqq: '⫌︀', - vartheta: 'ϑ', - vartriangleleft: '⊲', - vartriangleright: '⊳', - vcy: 'в', - vdash: '⊢', - vee: '∨', - veebar: '⊻', - veeeq: '≚', - vellip: '⋮', - verbar: '|', - vert: '|', - vfr: '𝔳', - vltri: '⊲', - vnsub: '⊂⃒', - vnsup: '⊃⃒', - vopf: '𝕧', - vprop: '∝', - vrtri: '⊳', - vscr: '𝓋', - vsubnE: '⫋︀', - vsubne: '⊊︀', - vsupnE: '⫌︀', - vsupne: '⊋︀', - vzigzag: '⦚', - wcirc: 'ŵ', - wedbar: '⩟', - wedge: '∧', - wedgeq: '≙', - weierp: '℘', - wfr: '𝔴', - wopf: '𝕨', - wp: '℘', - wr: '≀', - wreath: '≀', - wscr: '𝓌', - xcap: '⋂', - xcirc: '◯', - xcup: '⋃', - xdtri: '▽', - xfr: '𝔵', - xhArr: '⟺', - xharr: '⟷', - xi: 'ξ', - xlArr: '⟸', - xlarr: '⟵', - xmap: '⟼', - xnis: '⋻', - xodot: '⨀', - xopf: '𝕩', - xoplus: '⨁', - xotime: '⨂', - xrArr: '⟹', - xrarr: '⟶', - xscr: '𝓍', - xsqcup: '⨆', - xuplus: '⨄', - xutri: '△', - xvee: '⋁', - xwedge: '⋀', - yacute: 'ý', - yacy: 'я', - ycirc: 'ŷ', - ycy: 'ы', - yen: '¥', - yfr: '𝔶', - yicy: 'ї', - yopf: '𝕪', - yscr: '𝓎', - yucy: 'ю', - yuml: 'ÿ', - zacute: 'ź', - zcaron: 'ž', - zcy: 'з', - zdot: 'ż', - zeetrf: 'ℨ', - zeta: 'ζ', - zfr: '𝔷', - zhcy: 'ж', - zigrarr: '⇝', - zopf: '𝕫', - zscr: '𝓏', - zwj: '‍', - zwnj: '‌' -} - -;// CONCATENATED MODULE: ./node_modules/decode-named-character-reference/index.js - - -const own = {}.hasOwnProperty - -/** - * Decode a single character reference (without the `&` or `;`). - * You probably only need this when you’re building parsers yourself that follow - * different rules compared to HTML. - * This is optimized to be tiny in browsers. - * - * @param {string} value - * `notin` (named), `#123` (deci), `#x123` (hexa). - * @returns {string|false} - * Decoded reference. - */ -function decodeNamedCharacterReference(value) { - return own.call(characterEntities, value) ? characterEntities[value] : false -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/character-reference.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const characterReference = { - name: 'characterReference', - tokenize: tokenizeCharacterReference -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeCharacterReference(effects, ok, nok) { - const self = this - let size = 0 - /** @type {number} */ - let max - /** @type {(code: Code) => boolean} */ - let test - return start - - /** - * Start of character reference. - * - * ```markdown - * > | a&b - * ^ - * > | a{b - * ^ - * > | a b - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('characterReference') - effects.enter('characterReferenceMarker') - effects.consume(code) - effects.exit('characterReferenceMarker') - return open - } - - /** - * After `&`, at `#` for numeric references or alphanumeric for named - * references. - * - * ```markdown - * > | a&b - * ^ - * > | a{b - * ^ - * > | a b - * ^ - * ``` - * - * @type {State} - */ - function open(code) { - if (code === 35) { - effects.enter('characterReferenceMarkerNumeric') - effects.consume(code) - effects.exit('characterReferenceMarkerNumeric') - return numeric - } - effects.enter('characterReferenceValue') - max = 31 - test = asciiAlphanumeric - return value(code) - } - - /** - * After `#`, at `x` for hexadecimals or digit for decimals. - * - * ```markdown - * > | a{b - * ^ - * > | a b - * ^ - * ``` - * - * @type {State} - */ - function numeric(code) { - if (code === 88 || code === 120) { - effects.enter('characterReferenceMarkerHexadecimal') - effects.consume(code) - effects.exit('characterReferenceMarkerHexadecimal') - effects.enter('characterReferenceValue') - max = 6 - test = asciiHexDigit - return value - } - effects.enter('characterReferenceValue') - max = 7 - test = asciiDigit - return value(code) - } - - /** - * After markers (`&#x`, `&#`, or `&`), in value, before `;`. - * - * The character reference kind defines what and how many characters are - * allowed. - * - * ```markdown - * > | a&b - * ^^^ - * > | a{b - * ^^^ - * > | a b - * ^ - * ``` - * - * @type {State} - */ - function value(code) { - if (code === 59 && size) { - const token = effects.exit('characterReferenceValue') - if ( - test === asciiAlphanumeric && - !decodeNamedCharacterReference(self.sliceSerialize(token)) - ) { - return nok(code) - } - - // To do: `markdown-rs` uses a different name: - // `CharacterReferenceMarkerSemi`. - effects.enter('characterReferenceMarker') - effects.consume(code) - effects.exit('characterReferenceMarker') - effects.exit('characterReference') - return ok - } - if (test(code) && size++ < max) { - effects.consume(code) - return value - } - return nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/character-escape.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - -/** @type {Construct} */ -const characterEscape = { - name: 'characterEscape', - tokenize: tokenizeCharacterEscape -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeCharacterEscape(effects, ok, nok) { - return start - - /** - * Start of character escape. - * - * ```markdown - * > | a\*b - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('characterEscape') - effects.enter('escapeMarker') - effects.consume(code) - effects.exit('escapeMarker') - return inside - } - - /** - * After `\`, at punctuation. - * - * ```markdown - * > | a\*b - * ^ - * ``` - * - * @type {State} - */ - function inside(code) { - // ASCII punctuation. - if (asciiPunctuation(code)) { - effects.enter('characterEscapeValue') - effects.consume(code) - effects.exit('characterEscapeValue') - effects.exit('characterEscape') - return ok - } - return nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/line-ending.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const lineEnding = { - name: 'lineEnding', - tokenize: tokenizeLineEnding -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeLineEnding(effects, ok) { - return start - - /** @type {State} */ - function start(code) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return factorySpace(effects, ok, 'linePrefix') - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-end.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').Event} Event - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - - - - - - - -/** @type {Construct} */ -const labelEnd = { - name: 'labelEnd', - tokenize: tokenizeLabelEnd, - resolveTo: resolveToLabelEnd, - resolveAll: resolveAllLabelEnd -} - -/** @type {Construct} */ -const resourceConstruct = { - tokenize: tokenizeResource -} -/** @type {Construct} */ -const referenceFullConstruct = { - tokenize: tokenizeReferenceFull -} -/** @type {Construct} */ -const referenceCollapsedConstruct = { - tokenize: tokenizeReferenceCollapsed -} - -/** @type {Resolver} */ -function resolveAllLabelEnd(events) { - let index = -1 - while (++index < events.length) { - const token = events[index][1] - if ( - token.type === 'labelImage' || - token.type === 'labelLink' || - token.type === 'labelEnd' - ) { - // Remove the marker. - events.splice(index + 1, token.type === 'labelImage' ? 4 : 2) - token.type = 'data' - index++ - } - } - return events -} - -/** @type {Resolver} */ -function resolveToLabelEnd(events, context) { - let index = events.length - let offset = 0 - /** @type {Token} */ - let token - /** @type {number | undefined} */ - let open - /** @type {number | undefined} */ - let close - /** @type {Array<Event>} */ - let media - - // Find an opening. - while (index--) { - token = events[index][1] - if (open) { - // If we see another link, or inactive link label, we’ve been here before. - if ( - token.type === 'link' || - (token.type === 'labelLink' && token._inactive) - ) { - break - } - - // Mark other link openings as inactive, as we can’t have links in - // links. - if (events[index][0] === 'enter' && token.type === 'labelLink') { - token._inactive = true - } - } else if (close) { - if ( - events[index][0] === 'enter' && - (token.type === 'labelImage' || token.type === 'labelLink') && - !token._balanced - ) { - open = index - if (token.type !== 'labelLink') { - offset = 2 - break - } - } - } else if (token.type === 'labelEnd') { - close = index - } - } - const group = { - type: events[open][1].type === 'labelLink' ? 'link' : 'image', - start: Object.assign({}, events[open][1].start), - end: Object.assign({}, events[events.length - 1][1].end) - } - const label = { - type: 'label', - start: Object.assign({}, events[open][1].start), - end: Object.assign({}, events[close][1].end) - } - const text = { - type: 'labelText', - start: Object.assign({}, events[open + offset + 2][1].end), - end: Object.assign({}, events[close - 2][1].start) - } - media = [ - ['enter', group, context], - ['enter', label, context] - ] - - // Opening marker. - media = push(media, events.slice(open + 1, open + offset + 3)) - - // Text open. - media = push(media, [['enter', text, context]]) - - // Always populated by defaults. - - // Between. - media = push( - media, - resolveAll( - context.parser.constructs.insideSpan.null, - events.slice(open + offset + 4, close - 3), - context - ) - ) - - // Text close, marker close, label close. - media = push(media, [ - ['exit', text, context], - events[close - 2], - events[close - 1], - ['exit', label, context] - ]) - - // Reference, resource, or so. - media = push(media, events.slice(close + 1)) - - // Media close. - media = push(media, [['exit', group, context]]) - splice(events, open, events.length, media) - return events -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeLabelEnd(effects, ok, nok) { - const self = this - let index = self.events.length - /** @type {Token} */ - let labelStart - /** @type {boolean} */ - let defined - - // Find an opening. - while (index--) { - if ( - (self.events[index][1].type === 'labelImage' || - self.events[index][1].type === 'labelLink') && - !self.events[index][1]._balanced - ) { - labelStart = self.events[index][1] - break - } - } - return start - - /** - * Start of label end. - * - * ```markdown - * > | [a](b) c - * ^ - * > | [a][b] c - * ^ - * > | [a][] b - * ^ - * > | [a] b - * ``` - * - * @type {State} - */ - function start(code) { - // If there is not an okay opening. - if (!labelStart) { - return nok(code) - } - - // If the corresponding label (link) start is marked as inactive, - // it means we’d be wrapping a link, like this: - // - // ```markdown - // > | a [b [c](d) e](f) g. - // ^ - // ``` - // - // We can’t have that, so it’s just balanced brackets. - if (labelStart._inactive) { - return labelEndNok(code) - } - defined = self.parser.defined.includes( - normalizeIdentifier( - self.sliceSerialize({ - start: labelStart.end, - end: self.now() - }) - ) - ) - effects.enter('labelEnd') - effects.enter('labelMarker') - effects.consume(code) - effects.exit('labelMarker') - effects.exit('labelEnd') - return after - } - - /** - * After `]`. - * - * ```markdown - * > | [a](b) c - * ^ - * > | [a][b] c - * ^ - * > | [a][] b - * ^ - * > | [a] b - * ^ - * ``` - * - * @type {State} - */ - function after(code) { - // Note: `markdown-rs` also parses GFM footnotes here, which for us is in - // an extension. - - // Resource (`[asd](fgh)`)? - if (code === 40) { - return effects.attempt( - resourceConstruct, - labelEndOk, - defined ? labelEndOk : labelEndNok - )(code) - } - - // Full (`[asd][fgh]`) or collapsed (`[asd][]`) reference? - if (code === 91) { - return effects.attempt( - referenceFullConstruct, - labelEndOk, - defined ? referenceNotFull : labelEndNok - )(code) - } - - // Shortcut (`[asd]`) reference? - return defined ? labelEndOk(code) : labelEndNok(code) - } - - /** - * After `]`, at `[`, but not at a full reference. - * - * > 👉 **Note**: we only get here if the label is defined. - * - * ```markdown - * > | [a][] b - * ^ - * > | [a] b - * ^ - * ``` - * - * @type {State} - */ - function referenceNotFull(code) { - return effects.attempt( - referenceCollapsedConstruct, - labelEndOk, - labelEndNok - )(code) - } - - /** - * Done, we found something. - * - * ```markdown - * > | [a](b) c - * ^ - * > | [a][b] c - * ^ - * > | [a][] b - * ^ - * > | [a] b - * ^ - * ``` - * - * @type {State} - */ - function labelEndOk(code) { - // Note: `markdown-rs` does a bunch of stuff here. - return ok(code) - } - - /** - * Done, it’s nothing. - * - * There was an okay opening, but we didn’t match anything. - * - * ```markdown - * > | [a](b c - * ^ - * > | [a][b c - * ^ - * > | [a] b - * ^ - * ``` - * - * @type {State} - */ - function labelEndNok(code) { - labelStart._balanced = true - return nok(code) - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeResource(effects, ok, nok) { - return resourceStart - - /** - * At a resource. - * - * ```markdown - * > | [a](b) c - * ^ - * ``` - * - * @type {State} - */ - function resourceStart(code) { - effects.enter('resource') - effects.enter('resourceMarker') - effects.consume(code) - effects.exit('resourceMarker') - return resourceBefore - } - - /** - * In resource, after `(`, at optional whitespace. - * - * ```markdown - * > | [a](b) c - * ^ - * ``` - * - * @type {State} - */ - function resourceBefore(code) { - return markdownLineEndingOrSpace(code) - ? factoryWhitespace(effects, resourceOpen)(code) - : resourceOpen(code) - } - - /** - * In resource, after optional whitespace, at `)` or a destination. - * - * ```markdown - * > | [a](b) c - * ^ - * ``` - * - * @type {State} - */ - function resourceOpen(code) { - if (code === 41) { - return resourceEnd(code) - } - return factoryDestination( - effects, - resourceDestinationAfter, - resourceDestinationMissing, - 'resourceDestination', - 'resourceDestinationLiteral', - 'resourceDestinationLiteralMarker', - 'resourceDestinationRaw', - 'resourceDestinationString', - 32 - )(code) - } - - /** - * In resource, after destination, at optional whitespace. - * - * ```markdown - * > | [a](b) c - * ^ - * ``` - * - * @type {State} - */ - function resourceDestinationAfter(code) { - return markdownLineEndingOrSpace(code) - ? factoryWhitespace(effects, resourceBetween)(code) - : resourceEnd(code) - } - - /** - * At invalid destination. - * - * ```markdown - * > | [a](<<) b - * ^ - * ``` - * - * @type {State} - */ - function resourceDestinationMissing(code) { - return nok(code) - } - - /** - * In resource, after destination and whitespace, at `(` or title. - * - * ```markdown - * > | [a](b ) c - * ^ - * ``` - * - * @type {State} - */ - function resourceBetween(code) { - if (code === 34 || code === 39 || code === 40) { - return factoryTitle( - effects, - resourceTitleAfter, - nok, - 'resourceTitle', - 'resourceTitleMarker', - 'resourceTitleString' - )(code) - } - return resourceEnd(code) - } - - /** - * In resource, after title, at optional whitespace. - * - * ```markdown - * > | [a](b "c") d - * ^ - * ``` - * - * @type {State} - */ - function resourceTitleAfter(code) { - return markdownLineEndingOrSpace(code) - ? factoryWhitespace(effects, resourceEnd)(code) - : resourceEnd(code) - } - - /** - * In resource, at `)`. - * - * ```markdown - * > | [a](b) d - * ^ - * ``` - * - * @type {State} - */ - function resourceEnd(code) { - if (code === 41) { - effects.enter('resourceMarker') - effects.consume(code) - effects.exit('resourceMarker') - effects.exit('resource') - return ok - } - return nok(code) - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeReferenceFull(effects, ok, nok) { - const self = this - return referenceFull - - /** - * In a reference (full), at the `[`. - * - * ```markdown - * > | [a][b] d - * ^ - * ``` - * - * @type {State} - */ - function referenceFull(code) { - return factoryLabel.call( - self, - effects, - referenceFullAfter, - referenceFullMissing, - 'reference', - 'referenceMarker', - 'referenceString' - )(code) - } - - /** - * In a reference (full), after `]`. - * - * ```markdown - * > | [a][b] d - * ^ - * ``` - * - * @type {State} - */ - function referenceFullAfter(code) { - return self.parser.defined.includes( - normalizeIdentifier( - self.sliceSerialize(self.events[self.events.length - 1][1]).slice(1, -1) - ) - ) - ? ok(code) - : nok(code) - } - - /** - * In reference (full) that was missing. - * - * ```markdown - * > | [a][b d - * ^ - * ``` - * - * @type {State} - */ - function referenceFullMissing(code) { - return nok(code) - } -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeReferenceCollapsed(effects, ok, nok) { - return referenceCollapsedStart - - /** - * In reference (collapsed), at `[`. - * - * > 👉 **Note**: we only get here if the label is defined. - * - * ```markdown - * > | [a][] d - * ^ - * ``` - * - * @type {State} - */ - function referenceCollapsedStart(code) { - // We only attempt a collapsed label if there’s a `[`. - - effects.enter('reference') - effects.enter('referenceMarker') - effects.consume(code) - effects.exit('referenceMarker') - return referenceCollapsedOpen - } - - /** - * In reference (collapsed), at `]`. - * - * > 👉 **Note**: we only get here if the label is defined. - * - * ```markdown - * > | [a][] d - * ^ - * ``` - * - * @type {State} - */ - function referenceCollapsedOpen(code) { - if (code === 93) { - effects.enter('referenceMarker') - effects.consume(code) - effects.exit('referenceMarker') - effects.exit('reference') - return ok - } - return nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-start-image.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const labelStartImage = { - name: 'labelStartImage', - tokenize: tokenizeLabelStartImage, - resolveAll: labelEnd.resolveAll -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeLabelStartImage(effects, ok, nok) { - const self = this - return start - - /** - * Start of label (image) start. - * - * ```markdown - * > | a ![b] c - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('labelImage') - effects.enter('labelImageMarker') - effects.consume(code) - effects.exit('labelImageMarker') - return open - } - - /** - * After `!`, at `[`. - * - * ```markdown - * > | a ![b] c - * ^ - * ``` - * - * @type {State} - */ - function open(code) { - if (code === 91) { - effects.enter('labelMarker') - effects.consume(code) - effects.exit('labelMarker') - effects.exit('labelImage') - return after - } - return nok(code) - } - - /** - * After `![`. - * - * ```markdown - * > | a ![b] c - * ^ - * ``` - * - * This is needed in because, when GFM footnotes are enabled, images never - * form when started with a `^`. - * Instead, links form: - * - * ```markdown - * ![^a](b) - * - * ![^a][b] - * - * [b]: c - * ``` - * - * ```html - * <p>!<a href=\"b\">^a</a></p> - * <p>!<a href=\"c\">^a</a></p> - * ``` - * - * @type {State} - */ - function after(code) { - // To do: use a new field to do this, this is still needed for - // `micromark-extension-gfm-footnote`, but the `label-start-link` - // behavior isn’t. - // Hidden footnotes hook. - /* c8 ignore next 3 */ - return code === 94 && '_hiddenFootnoteSupport' in self.parser.constructs - ? nok(code) - : ok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-classify-character/index.js -/** - * @typedef {import('micromark-util-types').Code} Code - */ - - -/** - * Classify whether a code represents whitespace, punctuation, or something - * else. - * - * Used for attention (emphasis, strong), whose sequences can open or close - * based on the class of surrounding characters. - * - * > 👉 **Note**: eof (`null`) is seen as whitespace. - * - * @param {Code} code - * Code. - * @returns {typeof constants.characterGroupWhitespace | typeof constants.characterGroupPunctuation | undefined} - * Group. - */ -function classifyCharacter(code) { - if ( - code === null || - markdownLineEndingOrSpace(code) || - unicodeWhitespace(code) - ) { - return 1 - } - if (unicodePunctuation(code)) { - return 2 - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/attention.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').Event} Event - * @typedef {import('micromark-util-types').Point} Point - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - - -/** @type {Construct} */ -const attention = { - name: 'attention', - tokenize: tokenizeAttention, - resolveAll: resolveAllAttention -} - -/** - * Take all events and resolve attention to emphasis or strong. - * - * @type {Resolver} - */ -function resolveAllAttention(events, context) { - let index = -1 - /** @type {number} */ - let open - /** @type {Token} */ - let group - /** @type {Token} */ - let text - /** @type {Token} */ - let openingSequence - /** @type {Token} */ - let closingSequence - /** @type {number} */ - let use - /** @type {Array<Event>} */ - let nextEvents - /** @type {number} */ - let offset - - // Walk through all events. - // - // Note: performance of this is fine on an mb of normal markdown, but it’s - // a bottleneck for malicious stuff. - while (++index < events.length) { - // Find a token that can close. - if ( - events[index][0] === 'enter' && - events[index][1].type === 'attentionSequence' && - events[index][1]._close - ) { - open = index - - // Now walk back to find an opener. - while (open--) { - // Find a token that can open the closer. - if ( - events[open][0] === 'exit' && - events[open][1].type === 'attentionSequence' && - events[open][1]._open && - // If the markers are the same: - context.sliceSerialize(events[open][1]).charCodeAt(0) === - context.sliceSerialize(events[index][1]).charCodeAt(0) - ) { - // If the opening can close or the closing can open, - // and the close size *is not* a multiple of three, - // but the sum of the opening and closing size *is* multiple of three, - // then don’t match. - if ( - (events[open][1]._close || events[index][1]._open) && - (events[index][1].end.offset - events[index][1].start.offset) % 3 && - !( - (events[open][1].end.offset - - events[open][1].start.offset + - events[index][1].end.offset - - events[index][1].start.offset) % - 3 - ) - ) { - continue - } - - // Number of markers to use from the sequence. - use = - events[open][1].end.offset - events[open][1].start.offset > 1 && - events[index][1].end.offset - events[index][1].start.offset > 1 - ? 2 - : 1 - const start = Object.assign({}, events[open][1].end) - const end = Object.assign({}, events[index][1].start) - movePoint(start, -use) - movePoint(end, use) - openingSequence = { - type: use > 1 ? 'strongSequence' : 'emphasisSequence', - start, - end: Object.assign({}, events[open][1].end) - } - closingSequence = { - type: use > 1 ? 'strongSequence' : 'emphasisSequence', - start: Object.assign({}, events[index][1].start), - end - } - text = { - type: use > 1 ? 'strongText' : 'emphasisText', - start: Object.assign({}, events[open][1].end), - end: Object.assign({}, events[index][1].start) - } - group = { - type: use > 1 ? 'strong' : 'emphasis', - start: Object.assign({}, openingSequence.start), - end: Object.assign({}, closingSequence.end) - } - events[open][1].end = Object.assign({}, openingSequence.start) - events[index][1].start = Object.assign({}, closingSequence.end) - nextEvents = [] - - // If there are more markers in the opening, add them before. - if (events[open][1].end.offset - events[open][1].start.offset) { - nextEvents = push(nextEvents, [ - ['enter', events[open][1], context], - ['exit', events[open][1], context] - ]) - } - - // Opening. - nextEvents = push(nextEvents, [ - ['enter', group, context], - ['enter', openingSequence, context], - ['exit', openingSequence, context], - ['enter', text, context] - ]) - - // Always populated by defaults. - - // Between. - nextEvents = push( - nextEvents, - resolveAll( - context.parser.constructs.insideSpan.null, - events.slice(open + 1, index), - context - ) - ) - - // Closing. - nextEvents = push(nextEvents, [ - ['exit', text, context], - ['enter', closingSequence, context], - ['exit', closingSequence, context], - ['exit', group, context] - ]) - - // If there are more markers in the closing, add them after. - if (events[index][1].end.offset - events[index][1].start.offset) { - offset = 2 - nextEvents = push(nextEvents, [ - ['enter', events[index][1], context], - ['exit', events[index][1], context] - ]) - } else { - offset = 0 - } - splice(events, open - 1, index - open + 3, nextEvents) - index = open + nextEvents.length - offset - 2 - break - } - } - } - } - - // Remove remaining sequences. - index = -1 - while (++index < events.length) { - if (events[index][1].type === 'attentionSequence') { - events[index][1].type = 'data' - } - } - return events -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeAttention(effects, ok) { - const attentionMarkers = this.parser.constructs.attentionMarkers.null - const previous = this.previous - const before = classifyCharacter(previous) - - /** @type {NonNullable<Code>} */ - let marker - return start - - /** - * Before a sequence. - * - * ```markdown - * > | ** - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - marker = code - effects.enter('attentionSequence') - return inside(code) - } - - /** - * In a sequence. - * - * ```markdown - * > | ** - * ^^ - * ``` - * - * @type {State} - */ - function inside(code) { - if (code === marker) { - effects.consume(code) - return inside - } - const token = effects.exit('attentionSequence') - - // To do: next major: move this to resolver, just like `markdown-rs`. - const after = classifyCharacter(code) - - // Always populated by defaults. - - const open = - !after || (after === 2 && before) || attentionMarkers.includes(code) - const close = - !before || (before === 2 && after) || attentionMarkers.includes(previous) - token._open = Boolean(marker === 42 ? open : open && (before || !close)) - token._close = Boolean(marker === 42 ? close : close && (after || !open)) - return ok(code) - } -} - -/** - * Move a point a bit. - * - * Note: `move` only works inside lines! It’s not possible to move past other - * chunks (replacement characters, tabs, or line endings). - * - * @param {Point} point - * @param {number} offset - * @returns {void} - */ -function movePoint(point, offset) { - point.column += offset - point.offset += offset - point._bufferIndex += offset -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/autolink.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - -/** @type {Construct} */ -const autolink = { - name: 'autolink', - tokenize: tokenizeAutolink -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeAutolink(effects, ok, nok) { - let size = 0 - return start - - /** - * Start of an autolink. - * - * ```markdown - * > | a<https://example.com>b - * ^ - * > | a<user@example.com>b - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('autolink') - effects.enter('autolinkMarker') - effects.consume(code) - effects.exit('autolinkMarker') - effects.enter('autolinkProtocol') - return open - } - - /** - * After `<`, at protocol or atext. - * - * ```markdown - * > | a<https://example.com>b - * ^ - * > | a<user@example.com>b - * ^ - * ``` - * - * @type {State} - */ - function open(code) { - if (asciiAlpha(code)) { - effects.consume(code) - return schemeOrEmailAtext - } - return emailAtext(code) - } - - /** - * At second byte of protocol or atext. - * - * ```markdown - * > | a<https://example.com>b - * ^ - * > | a<user@example.com>b - * ^ - * ``` - * - * @type {State} - */ - function schemeOrEmailAtext(code) { - // ASCII alphanumeric and `+`, `-`, and `.`. - if (code === 43 || code === 45 || code === 46 || asciiAlphanumeric(code)) { - // Count the previous alphabetical from `open` too. - size = 1 - return schemeInsideOrEmailAtext(code) - } - return emailAtext(code) - } - - /** - * In ambiguous protocol or atext. - * - * ```markdown - * > | a<https://example.com>b - * ^ - * > | a<user@example.com>b - * ^ - * ``` - * - * @type {State} - */ - function schemeInsideOrEmailAtext(code) { - if (code === 58) { - effects.consume(code) - size = 0 - return urlInside - } - - // ASCII alphanumeric and `+`, `-`, and `.`. - if ( - (code === 43 || code === 45 || code === 46 || asciiAlphanumeric(code)) && - size++ < 32 - ) { - effects.consume(code) - return schemeInsideOrEmailAtext - } - size = 0 - return emailAtext(code) - } - - /** - * After protocol, in URL. - * - * ```markdown - * > | a<https://example.com>b - * ^ - * ``` - * - * @type {State} - */ - function urlInside(code) { - if (code === 62) { - effects.exit('autolinkProtocol') - effects.enter('autolinkMarker') - effects.consume(code) - effects.exit('autolinkMarker') - effects.exit('autolink') - return ok - } - - // ASCII control, space, or `<`. - if (code === null || code === 32 || code === 60 || asciiControl(code)) { - return nok(code) - } - effects.consume(code) - return urlInside - } - - /** - * In email atext. - * - * ```markdown - * > | a<user.name@example.com>b - * ^ - * ``` - * - * @type {State} - */ - function emailAtext(code) { - if (code === 64) { - effects.consume(code) - return emailAtSignOrDot - } - if (asciiAtext(code)) { - effects.consume(code) - return emailAtext - } - return nok(code) - } - - /** - * In label, after at-sign or dot. - * - * ```markdown - * > | a<user.name@example.com>b - * ^ ^ - * ``` - * - * @type {State} - */ - function emailAtSignOrDot(code) { - return asciiAlphanumeric(code) ? emailLabel(code) : nok(code) - } - - /** - * In label, where `.` and `>` are allowed. - * - * ```markdown - * > | a<user.name@example.com>b - * ^ - * ``` - * - * @type {State} - */ - function emailLabel(code) { - if (code === 46) { - effects.consume(code) - size = 0 - return emailAtSignOrDot - } - if (code === 62) { - // Exit, then change the token type. - effects.exit('autolinkProtocol').type = 'autolinkEmail' - effects.enter('autolinkMarker') - effects.consume(code) - effects.exit('autolinkMarker') - effects.exit('autolink') - return ok - } - return emailValue(code) - } - - /** - * In label, where `.` and `>` are *not* allowed. - * - * Though, this is also used in `emailLabel` to parse other values. - * - * ```markdown - * > | a<user.name@ex-ample.com>b - * ^ - * ``` - * - * @type {State} - */ - function emailValue(code) { - // ASCII alphanumeric or `-`. - if ((code === 45 || asciiAlphanumeric(code)) && size++ < 63) { - const next = code === 45 ? emailValue : emailLabel - effects.consume(code) - return next - } - return nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/html-text.js -/** - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const htmlText = { - name: 'htmlText', - tokenize: tokenizeHtmlText -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeHtmlText(effects, ok, nok) { - const self = this - /** @type {NonNullable<Code> | undefined} */ - let marker - /** @type {number} */ - let index - /** @type {State} */ - let returnState - return start - - /** - * Start of HTML (text). - * - * ```markdown - * > | a <b> c - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('htmlText') - effects.enter('htmlTextData') - effects.consume(code) - return open - } - - /** - * After `<`, at tag name or other stuff. - * - * ```markdown - * > | a <b> c - * ^ - * > | a <!doctype> c - * ^ - * > | a <!--b--> c - * ^ - * ``` - * - * @type {State} - */ - function open(code) { - if (code === 33) { - effects.consume(code) - return declarationOpen - } - if (code === 47) { - effects.consume(code) - return tagCloseStart - } - if (code === 63) { - effects.consume(code) - return instruction - } - - // ASCII alphabetical. - if (asciiAlpha(code)) { - effects.consume(code) - return tagOpen - } - return nok(code) - } - - /** - * After `<!`, at declaration, comment, or CDATA. - * - * ```markdown - * > | a <!doctype> c - * ^ - * > | a <!--b--> c - * ^ - * > | a <![CDATA[>&<]]> c - * ^ - * ``` - * - * @type {State} - */ - function declarationOpen(code) { - if (code === 45) { - effects.consume(code) - return commentOpenInside - } - if (code === 91) { - effects.consume(code) - index = 0 - return cdataOpenInside - } - if (asciiAlpha(code)) { - effects.consume(code) - return declaration - } - return nok(code) - } - - /** - * In a comment, after `<!-`, at another `-`. - * - * ```markdown - * > | a <!--b--> c - * ^ - * ``` - * - * @type {State} - */ - function commentOpenInside(code) { - if (code === 45) { - effects.consume(code) - return commentEnd - } - return nok(code) - } - - /** - * In comment. - * - * ```markdown - * > | a <!--b--> c - * ^ - * ``` - * - * @type {State} - */ - function comment(code) { - if (code === null) { - return nok(code) - } - if (code === 45) { - effects.consume(code) - return commentClose - } - if (markdownLineEnding(code)) { - returnState = comment - return lineEndingBefore(code) - } - effects.consume(code) - return comment - } - - /** - * In comment, after `-`. - * - * ```markdown - * > | a <!--b--> c - * ^ - * ``` - * - * @type {State} - */ - function commentClose(code) { - if (code === 45) { - effects.consume(code) - return commentEnd - } - return comment(code) - } - - /** - * In comment, after `--`. - * - * ```markdown - * > | a <!--b--> c - * ^ - * ``` - * - * @type {State} - */ - function commentEnd(code) { - return code === 62 - ? end(code) - : code === 45 - ? commentClose(code) - : comment(code) - } - - /** - * After `<![`, in CDATA, expecting `CDATA[`. - * - * ```markdown - * > | a <![CDATA[>&<]]> b - * ^^^^^^ - * ``` - * - * @type {State} - */ - function cdataOpenInside(code) { - const value = 'CDATA[' - if (code === value.charCodeAt(index++)) { - effects.consume(code) - return index === value.length ? cdata : cdataOpenInside - } - return nok(code) - } - - /** - * In CDATA. - * - * ```markdown - * > | a <![CDATA[>&<]]> b - * ^^^ - * ``` - * - * @type {State} - */ - function cdata(code) { - if (code === null) { - return nok(code) - } - if (code === 93) { - effects.consume(code) - return cdataClose - } - if (markdownLineEnding(code)) { - returnState = cdata - return lineEndingBefore(code) - } - effects.consume(code) - return cdata - } - - /** - * In CDATA, after `]`, at another `]`. - * - * ```markdown - * > | a <![CDATA[>&<]]> b - * ^ - * ``` - * - * @type {State} - */ - function cdataClose(code) { - if (code === 93) { - effects.consume(code) - return cdataEnd - } - return cdata(code) - } - - /** - * In CDATA, after `]]`, at `>`. - * - * ```markdown - * > | a <![CDATA[>&<]]> b - * ^ - * ``` - * - * @type {State} - */ - function cdataEnd(code) { - if (code === 62) { - return end(code) - } - if (code === 93) { - effects.consume(code) - return cdataEnd - } - return cdata(code) - } - - /** - * In declaration. - * - * ```markdown - * > | a <!b> c - * ^ - * ``` - * - * @type {State} - */ - function declaration(code) { - if (code === null || code === 62) { - return end(code) - } - if (markdownLineEnding(code)) { - returnState = declaration - return lineEndingBefore(code) - } - effects.consume(code) - return declaration - } - - /** - * In instruction. - * - * ```markdown - * > | a <?b?> c - * ^ - * ``` - * - * @type {State} - */ - function instruction(code) { - if (code === null) { - return nok(code) - } - if (code === 63) { - effects.consume(code) - return instructionClose - } - if (markdownLineEnding(code)) { - returnState = instruction - return lineEndingBefore(code) - } - effects.consume(code) - return instruction - } - - /** - * In instruction, after `?`, at `>`. - * - * ```markdown - * > | a <?b?> c - * ^ - * ``` - * - * @type {State} - */ - function instructionClose(code) { - return code === 62 ? end(code) : instruction(code) - } - - /** - * After `</`, in closing tag, at tag name. - * - * ```markdown - * > | a </b> c - * ^ - * ``` - * - * @type {State} - */ - function tagCloseStart(code) { - // ASCII alphabetical. - if (asciiAlpha(code)) { - effects.consume(code) - return tagClose - } - return nok(code) - } - - /** - * After `</x`, in a tag name. - * - * ```markdown - * > | a </b> c - * ^ - * ``` - * - * @type {State} - */ - function tagClose(code) { - // ASCII alphanumerical and `-`. - if (code === 45 || asciiAlphanumeric(code)) { - effects.consume(code) - return tagClose - } - return tagCloseBetween(code) - } - - /** - * In closing tag, after tag name. - * - * ```markdown - * > | a </b> c - * ^ - * ``` - * - * @type {State} - */ - function tagCloseBetween(code) { - if (markdownLineEnding(code)) { - returnState = tagCloseBetween - return lineEndingBefore(code) - } - if (markdownSpace(code)) { - effects.consume(code) - return tagCloseBetween - } - return end(code) - } - - /** - * After `<x`, in opening tag name. - * - * ```markdown - * > | a <b> c - * ^ - * ``` - * - * @type {State} - */ - function tagOpen(code) { - // ASCII alphanumerical and `-`. - if (code === 45 || asciiAlphanumeric(code)) { - effects.consume(code) - return tagOpen - } - if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { - return tagOpenBetween(code) - } - return nok(code) - } - - /** - * In opening tag, after tag name. - * - * ```markdown - * > | a <b> c - * ^ - * ``` - * - * @type {State} - */ - function tagOpenBetween(code) { - if (code === 47) { - effects.consume(code) - return end - } - - // ASCII alphabetical and `:` and `_`. - if (code === 58 || code === 95 || asciiAlpha(code)) { - effects.consume(code) - return tagOpenAttributeName - } - if (markdownLineEnding(code)) { - returnState = tagOpenBetween - return lineEndingBefore(code) - } - if (markdownSpace(code)) { - effects.consume(code) - return tagOpenBetween - } - return end(code) - } - - /** - * In attribute name. - * - * ```markdown - * > | a <b c> d - * ^ - * ``` - * - * @type {State} - */ - function tagOpenAttributeName(code) { - // ASCII alphabetical and `-`, `.`, `:`, and `_`. - if ( - code === 45 || - code === 46 || - code === 58 || - code === 95 || - asciiAlphanumeric(code) - ) { - effects.consume(code) - return tagOpenAttributeName - } - return tagOpenAttributeNameAfter(code) - } - - /** - * After attribute name, before initializer, the end of the tag, or - * whitespace. - * - * ```markdown - * > | a <b c> d - * ^ - * ``` - * - * @type {State} - */ - function tagOpenAttributeNameAfter(code) { - if (code === 61) { - effects.consume(code) - return tagOpenAttributeValueBefore - } - if (markdownLineEnding(code)) { - returnState = tagOpenAttributeNameAfter - return lineEndingBefore(code) - } - if (markdownSpace(code)) { - effects.consume(code) - return tagOpenAttributeNameAfter - } - return tagOpenBetween(code) - } - - /** - * Before unquoted, double quoted, or single quoted attribute value, allowing - * whitespace. - * - * ```markdown - * > | a <b c=d> e - * ^ - * ``` - * - * @type {State} - */ - function tagOpenAttributeValueBefore(code) { - if ( - code === null || - code === 60 || - code === 61 || - code === 62 || - code === 96 - ) { - return nok(code) - } - if (code === 34 || code === 39) { - effects.consume(code) - marker = code - return tagOpenAttributeValueQuoted - } - if (markdownLineEnding(code)) { - returnState = tagOpenAttributeValueBefore - return lineEndingBefore(code) - } - if (markdownSpace(code)) { - effects.consume(code) - return tagOpenAttributeValueBefore - } - effects.consume(code) - return tagOpenAttributeValueUnquoted - } - - /** - * In double or single quoted attribute value. - * - * ```markdown - * > | a <b c="d"> e - * ^ - * ``` - * - * @type {State} - */ - function tagOpenAttributeValueQuoted(code) { - if (code === marker) { - effects.consume(code) - marker = undefined - return tagOpenAttributeValueQuotedAfter - } - if (code === null) { - return nok(code) - } - if (markdownLineEnding(code)) { - returnState = tagOpenAttributeValueQuoted - return lineEndingBefore(code) - } - effects.consume(code) - return tagOpenAttributeValueQuoted - } - - /** - * In unquoted attribute value. - * - * ```markdown - * > | a <b c=d> e - * ^ - * ``` - * - * @type {State} - */ - function tagOpenAttributeValueUnquoted(code) { - if ( - code === null || - code === 34 || - code === 39 || - code === 60 || - code === 61 || - code === 96 - ) { - return nok(code) - } - if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { - return tagOpenBetween(code) - } - effects.consume(code) - return tagOpenAttributeValueUnquoted - } - - /** - * After double or single quoted attribute value, before whitespace or the end - * of the tag. - * - * ```markdown - * > | a <b c="d"> e - * ^ - * ``` - * - * @type {State} - */ - function tagOpenAttributeValueQuotedAfter(code) { - if (code === 47 || code === 62 || markdownLineEndingOrSpace(code)) { - return tagOpenBetween(code) - } - return nok(code) - } - - /** - * In certain circumstances of a tag where only an `>` is allowed. - * - * ```markdown - * > | a <b c="d"> e - * ^ - * ``` - * - * @type {State} - */ - function end(code) { - if (code === 62) { - effects.consume(code) - effects.exit('htmlTextData') - effects.exit('htmlText') - return ok - } - return nok(code) - } - - /** - * At eol. - * - * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about - * > empty tokens. - * - * ```markdown - * > | a <!--a - * ^ - * | b--> - * ``` - * - * @type {State} - */ - function lineEndingBefore(code) { - effects.exit('htmlTextData') - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return lineEndingAfter - } - - /** - * After eol, at optional whitespace. - * - * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about - * > empty tokens. - * - * ```markdown - * | a <!--a - * > | b--> - * ^ - * ``` - * - * @type {State} - */ - function lineEndingAfter(code) { - // Always populated by defaults. - - return markdownSpace(code) - ? factorySpace( - effects, - lineEndingAfterPrefix, - 'linePrefix', - self.parser.constructs.disable.null.includes('codeIndented') - ? undefined - : 4 - )(code) - : lineEndingAfterPrefix(code) - } - - /** - * After eol, after optional whitespace. - * - * > 👉 **Note**: we can’t have blank lines in text, so no need to worry about - * > empty tokens. - * - * ```markdown - * | a <!--a - * > | b--> - * ^ - * ``` - * - * @type {State} - */ - function lineEndingAfterPrefix(code) { - effects.enter('htmlTextData') - return returnState(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/label-start-link.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - - -/** @type {Construct} */ -const labelStartLink = { - name: 'labelStartLink', - tokenize: tokenizeLabelStartLink, - resolveAll: labelEnd.resolveAll -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeLabelStartLink(effects, ok, nok) { - const self = this - return start - - /** - * Start of label (link) start. - * - * ```markdown - * > | a [b] c - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('labelLink') - effects.enter('labelMarker') - effects.consume(code) - effects.exit('labelMarker') - effects.exit('labelLink') - return after - } - - /** @type {State} */ - function after(code) { - // To do: this isn’t needed in `micromark-extension-gfm-footnote`, - // remove. - // Hidden footnotes hook. - /* c8 ignore next 3 */ - return code === 94 && '_hiddenFootnoteSupport' in self.parser.constructs - ? nok(code) - : ok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/hard-break-escape.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - -/** @type {Construct} */ -const hardBreakEscape = { - name: 'hardBreakEscape', - tokenize: tokenizeHardBreakEscape -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeHardBreakEscape(effects, ok, nok) { - return start - - /** - * Start of a hard break (escape). - * - * ```markdown - * > | a\ - * ^ - * | b - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('hardBreakEscape') - effects.consume(code) - return after - } - - /** - * After `\`, at eol. - * - * ```markdown - * > | a\ - * ^ - * | b - * ``` - * - * @type {State} - */ - function after(code) { - if (markdownLineEnding(code)) { - effects.exit('hardBreakEscape') - return ok(code) - } - return nok(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-core-commonmark/lib/code-text.js -/** - * @typedef {import('micromark-util-types').Construct} Construct - * @typedef {import('micromark-util-types').Previous} Previous - * @typedef {import('micromark-util-types').Resolver} Resolver - * @typedef {import('micromark-util-types').State} State - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Tokenizer} Tokenizer - */ - - -/** @type {Construct} */ -const codeText = { - name: 'codeText', - tokenize: tokenizeCodeText, - resolve: resolveCodeText, - previous -} - -// To do: next major: don’t resolve, like `markdown-rs`. -/** @type {Resolver} */ -function resolveCodeText(events) { - let tailExitIndex = events.length - 4 - let headEnterIndex = 3 - /** @type {number} */ - let index - /** @type {number | undefined} */ - let enter - - // If we start and end with an EOL or a space. - if ( - (events[headEnterIndex][1].type === 'lineEnding' || - events[headEnterIndex][1].type === 'space') && - (events[tailExitIndex][1].type === 'lineEnding' || - events[tailExitIndex][1].type === 'space') - ) { - index = headEnterIndex - - // And we have data. - while (++index < tailExitIndex) { - if (events[index][1].type === 'codeTextData') { - // Then we have padding. - events[headEnterIndex][1].type = 'codeTextPadding' - events[tailExitIndex][1].type = 'codeTextPadding' - headEnterIndex += 2 - tailExitIndex -= 2 - break - } - } - } - - // Merge adjacent spaces and data. - index = headEnterIndex - 1 - tailExitIndex++ - while (++index <= tailExitIndex) { - if (enter === undefined) { - if (index !== tailExitIndex && events[index][1].type !== 'lineEnding') { - enter = index - } - } else if ( - index === tailExitIndex || - events[index][1].type === 'lineEnding' - ) { - events[enter][1].type = 'codeTextData' - if (index !== enter + 2) { - events[enter][1].end = events[index - 1][1].end - events.splice(enter + 2, index - enter - 2) - tailExitIndex -= index - enter - 2 - index = enter + 2 - } - enter = undefined - } - } - return events -} - -/** - * @this {TokenizeContext} - * @type {Previous} - */ -function previous(code) { - // If there is a previous code, there will always be a tail. - return ( - code !== 96 || - this.events[this.events.length - 1][1].type === 'characterEscape' - ) -} - -/** - * @this {TokenizeContext} - * @type {Tokenizer} - */ -function tokenizeCodeText(effects, ok, nok) { - const self = this - let sizeOpen = 0 - /** @type {number} */ - let size - /** @type {Token} */ - let token - return start - - /** - * Start of code (text). - * - * ```markdown - * > | `a` - * ^ - * > | \`a` - * ^ - * ``` - * - * @type {State} - */ - function start(code) { - effects.enter('codeText') - effects.enter('codeTextSequence') - return sequenceOpen(code) - } - - /** - * In opening sequence. - * - * ```markdown - * > | `a` - * ^ - * ``` - * - * @type {State} - */ - function sequenceOpen(code) { - if (code === 96) { - effects.consume(code) - sizeOpen++ - return sequenceOpen - } - effects.exit('codeTextSequence') - return between(code) - } - - /** - * Between something and something else. - * - * ```markdown - * > | `a` - * ^^ - * ``` - * - * @type {State} - */ - function between(code) { - // EOF. - if (code === null) { - return nok(code) - } - - // To do: next major: don’t do spaces in resolve, but when compiling, - // like `markdown-rs`. - // Tabs don’t work, and virtual spaces don’t make sense. - if (code === 32) { - effects.enter('space') - effects.consume(code) - effects.exit('space') - return between - } - - // Closing fence? Could also be data. - if (code === 96) { - token = effects.enter('codeTextSequence') - size = 0 - return sequenceClose(code) - } - if (markdownLineEnding(code)) { - effects.enter('lineEnding') - effects.consume(code) - effects.exit('lineEnding') - return between - } - - // Data. - effects.enter('codeTextData') - return data(code) - } - - /** - * In data. - * - * ```markdown - * > | `a` - * ^ - * ``` - * - * @type {State} - */ - function data(code) { - if ( - code === null || - code === 32 || - code === 96 || - markdownLineEnding(code) - ) { - effects.exit('codeTextData') - return between(code) - } - effects.consume(code) - return data - } - - /** - * In closing sequence. - * - * ```markdown - * > | `a` - * ^ - * ``` - * - * @type {State} - */ - function sequenceClose(code) { - // More. - if (code === 96) { - effects.consume(code) - size++ - return sequenceClose - } - - // Done! - if (size === sizeOpen) { - effects.exit('codeTextSequence') - effects.exit('codeText') - return ok(code) - } - - // More or less accents: mark as data. - token.type = 'codeTextData' - return data(code) - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/constructs.js -/** - * @typedef {import('micromark-util-types').Extension} Extension - */ - - - - -/** @satisfies {Extension['document']} */ -const constructs_document = { - [42]: list, - [43]: list, - [45]: list, - [48]: list, - [49]: list, - [50]: list, - [51]: list, - [52]: list, - [53]: list, - [54]: list, - [55]: list, - [56]: list, - [57]: list, - [62]: blockQuote -} - -/** @satisfies {Extension['contentInitial']} */ -const contentInitial = { - [91]: definition -} - -/** @satisfies {Extension['flowInitial']} */ -const flowInitial = { - [-2]: codeIndented, - [-1]: codeIndented, - [32]: codeIndented -} - -/** @satisfies {Extension['flow']} */ -const constructs_flow = { - [35]: headingAtx, - [42]: thematicBreak, - [45]: [setextUnderline, thematicBreak], - [60]: htmlFlow, - [61]: setextUnderline, - [95]: thematicBreak, - [96]: codeFenced, - [126]: codeFenced -} - -/** @satisfies {Extension['string']} */ -const constructs_string = { - [38]: characterReference, - [92]: characterEscape -} - -/** @satisfies {Extension['text']} */ -const constructs_text = { - [-5]: lineEnding, - [-4]: lineEnding, - [-3]: lineEnding, - [33]: labelStartImage, - [38]: characterReference, - [42]: attention, - [60]: [autolink, htmlText], - [91]: labelStartLink, - [92]: [hardBreakEscape, characterEscape], - [93]: labelEnd, - [95]: attention, - [96]: codeText -} - -/** @satisfies {Extension['insideSpan']} */ -const insideSpan = { - null: [attention, resolver] -} - -/** @satisfies {Extension['attentionMarkers']} */ -const attentionMarkers = { - null: [42, 95] -} - -/** @satisfies {Extension['disable']} */ -const disable = { - null: [] -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/parse.js -/** - * @typedef {import('micromark-util-types').Create} Create - * @typedef {import('micromark-util-types').FullNormalizedExtension} FullNormalizedExtension - * @typedef {import('micromark-util-types').InitialConstruct} InitialConstruct - * @typedef {import('micromark-util-types').ParseContext} ParseContext - * @typedef {import('micromark-util-types').ParseOptions} ParseOptions - */ - - - - - - - - - -/** - * @param {ParseOptions | null | undefined} [options] - * @returns {ParseContext} - */ -function parse(options) { - const settings = options || {} - const constructs = - /** @type {FullNormalizedExtension} */ - combineExtensions([constructs_namespaceObject, ...(settings.extensions || [])]) - - /** @type {ParseContext} */ - const parser = { - defined: [], - lazy: {}, - constructs, - content: create(content), - document: create(document_document), - flow: create(flow), - string: create(string), - text: create(text_text) - } - return parser - - /** - * @param {InitialConstruct} initial - */ - function create(initial) { - return creator - /** @type {Create} */ - function creator(from) { - return createTokenizer(parser, initial, from) - } - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/preprocess.js -/** - * @typedef {import('micromark-util-types').Chunk} Chunk - * @typedef {import('micromark-util-types').Code} Code - * @typedef {import('micromark-util-types').Encoding} Encoding - * @typedef {import('micromark-util-types').Value} Value - */ - -/** - * @callback Preprocessor - * @param {Value} value - * @param {Encoding | null | undefined} [encoding] - * @param {boolean | null | undefined} [end=false] - * @returns {Array<Chunk>} - */ - -const search = /[\0\t\n\r]/g - -/** - * @returns {Preprocessor} - */ -function preprocess() { - let column = 1 - let buffer = '' - /** @type {boolean | undefined} */ - let start = true - /** @type {boolean | undefined} */ - let atCarriageReturn - return preprocessor - - /** @type {Preprocessor} */ - function preprocessor(value, encoding, end) { - /** @type {Array<Chunk>} */ - const chunks = [] - /** @type {RegExpMatchArray | null} */ - let match - /** @type {number} */ - let next - /** @type {number} */ - let startPosition - /** @type {number} */ - let endPosition - /** @type {Code} */ - let code - - // @ts-expect-error `Buffer` does allow an encoding. - value = buffer + value.toString(encoding) - startPosition = 0 - buffer = '' - if (start) { - // To do: `markdown-rs` actually parses BOMs (byte order mark). - if (value.charCodeAt(0) === 65279) { - startPosition++ - } - start = undefined - } - while (startPosition < value.length) { - search.lastIndex = startPosition - match = search.exec(value) - endPosition = - match && match.index !== undefined ? match.index : value.length - code = value.charCodeAt(endPosition) - if (!match) { - buffer = value.slice(startPosition) - break - } - if (code === 10 && startPosition === endPosition && atCarriageReturn) { - chunks.push(-3) - atCarriageReturn = undefined - } else { - if (atCarriageReturn) { - chunks.push(-5) - atCarriageReturn = undefined - } - if (startPosition < endPosition) { - chunks.push(value.slice(startPosition, endPosition)) - column += endPosition - startPosition - } - switch (code) { - case 0: { - chunks.push(65533) - column++ - break - } - case 9: { - next = Math.ceil(column / 4) * 4 - chunks.push(-2) - while (column++ < next) chunks.push(-1) - break - } - case 10: { - chunks.push(-4) - column = 1 - break - } - default: { - atCarriageReturn = true - column = 1 - } - } - } - startPosition = endPosition + 1 - } - if (end) { - if (atCarriageReturn) chunks.push(-5) - if (buffer) chunks.push(buffer) - chunks.push(null) - } - return chunks - } -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark/lib/postprocess.js -/** - * @typedef {import('micromark-util-types').Event} Event - */ - - - -/** - * @param {Array<Event>} events - * @returns {Array<Event>} - */ -function postprocess(events) { - while (!subtokenize(events)) { - // Empty - } - return events -} - -;// CONCATENATED MODULE: ./node_modules/micromark-util-decode-numeric-character-reference/index.js -/** - * Turn the number (in string form as either hexa- or plain decimal) coming from - * a numeric character reference into a character. - * - * Sort of like `String.fromCharCode(Number.parseInt(value, base))`, but makes - * non-characters and control characters safe. - * - * @param {string} value - * Value to decode. - * @param {number} base - * Numeric base. - * @returns {string} - * Character. - */ -function decodeNumericCharacterReference(value, base) { - const code = Number.parseInt(value, base) - if ( - // C0 except for HT, LF, FF, CR, space. - code < 9 || - code === 11 || - (code > 13 && code < 32) || - // Control character (DEL) of C0, and C1 controls. - (code > 126 && code < 160) || - // Lone high surrogates and low surrogates. - (code > 55295 && code < 57344) || - // Noncharacters. - (code > 64975 && code < 65008) /* eslint-disable no-bitwise */ || - (code & 65535) === 65535 || - (code & 65535) === 65534 /* eslint-enable no-bitwise */ || - // Out of range - code > 1114111 - ) { - return '\uFFFD' - } - return String.fromCharCode(code) -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/micromark-util-decode-string/index.js - - -const characterEscapeOrReference = - /\\([!-/:-@[-`{-~])|&(#(?:\d{1,7}|x[\da-f]{1,6})|[\da-z]{1,31});/gi - -/** - * Decode markdown strings (which occur in places such as fenced code info - * strings, destinations, labels, and titles). - * - * The “string” content type allows character escapes and -references. - * This decodes those. - * - * @param {string} value - * Value to decode. - * @returns {string} - * Decoded value. - */ -function decodeString(value) { - return value.replace(characterEscapeOrReference, decode) -} - -/** - * @param {string} $0 - * @param {string} $1 - * @param {string} $2 - * @returns {string} - */ -function decode($0, $1, $2) { - if ($1) { - // Escape. - return $1 - } - - // Reference. - const head = $2.charCodeAt(0) - if (head === 35) { - const head = $2.charCodeAt(1) - const hex = head === 120 || head === 88 - return decodeNumericCharacterReference($2.slice(hex ? 2 : 1), hex ? 16 : 10) - } - return decodeNamedCharacterReference($2) || $0 -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/unist-util-stringify-position/lib/index.js -/** - * @typedef {import('unist').Node} Node - * @typedef {import('unist').Point} Point - * @typedef {import('unist').Position} Position - */ - -/** - * @typedef NodeLike - * @property {string} type - * @property {PositionLike | null | undefined} [position] - * - * @typedef PositionLike - * @property {PointLike | null | undefined} [start] - * @property {PointLike | null | undefined} [end] - * - * @typedef PointLike - * @property {number | null | undefined} [line] - * @property {number | null | undefined} [column] - * @property {number | null | undefined} [offset] - */ - -/** - * Serialize the positional info of a point, position (start and end points), - * or node. - * - * @param {Node | NodeLike | Position | PositionLike | Point | PointLike | null | undefined} [value] - * Node, position, or point. - * @returns {string} - * Pretty printed positional info of a node (`string`). - * - * In the format of a range `ls:cs-le:ce` (when given `node` or `position`) - * or a point `l:c` (when given `point`), where `l` stands for line, `c` for - * column, `s` for `start`, and `e` for end. - * An empty string (`''`) is returned if the given value is neither `node`, - * `position`, nor `point`. - */ -function stringifyPosition(value) { - // Nothing. - if (!value || typeof value !== 'object') { - return '' - } - - // Node. - if ('position' in value || 'type' in value) { - return position(value.position) - } - - // Position. - if ('start' in value || 'end' in value) { - return position(value) - } - - // Point. - if ('line' in value || 'column' in value) { - return point(value) - } - - // ? - return '' -} - -/** - * @param {Point | PointLike | null | undefined} point - * @returns {string} - */ -function point(point) { - return index(point && point.line) + ':' + index(point && point.column) -} - -/** - * @param {Position | PositionLike | null | undefined} pos - * @returns {string} - */ -function position(pos) { - return point(pos && pos.start) + '-' + point(pos && pos.end) -} - -/** - * @param {number | null | undefined} value - * @returns {number} - */ -function index(value) { - return value && typeof value === 'number' ? value : 1 -} - -;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-from-markdown/lib/index.js -/** - * @typedef {import('micromark-util-types').Encoding} Encoding - * @typedef {import('micromark-util-types').Event} Event - * @typedef {import('micromark-util-types').ParseOptions} ParseOptions - * @typedef {import('micromark-util-types').Token} Token - * @typedef {import('micromark-util-types').TokenizeContext} TokenizeContext - * @typedef {import('micromark-util-types').Value} Value - * - * @typedef {import('unist').Parent} UnistParent - * @typedef {import('unist').Point} Point - * - * @typedef {import('mdast').PhrasingContent} PhrasingContent - * @typedef {import('mdast').StaticPhrasingContent} StaticPhrasingContent - * @typedef {import('mdast').Content} Content - * @typedef {import('mdast').Break} Break - * @typedef {import('mdast').Blockquote} Blockquote - * @typedef {import('mdast').Code} Code - * @typedef {import('mdast').Definition} Definition - * @typedef {import('mdast').Emphasis} Emphasis - * @typedef {import('mdast').Heading} Heading - * @typedef {import('mdast').HTML} HTML - * @typedef {import('mdast').Image} Image - * @typedef {import('mdast').ImageReference} ImageReference - * @typedef {import('mdast').InlineCode} InlineCode - * @typedef {import('mdast').Link} Link - * @typedef {import('mdast').LinkReference} LinkReference - * @typedef {import('mdast').List} List - * @typedef {import('mdast').ListItem} ListItem - * @typedef {import('mdast').Paragraph} Paragraph - * @typedef {import('mdast').Root} Root - * @typedef {import('mdast').Strong} Strong - * @typedef {import('mdast').Text} Text - * @typedef {import('mdast').ThematicBreak} ThematicBreak - * @typedef {import('mdast').ReferenceType} ReferenceType - * @typedef {import('../index.js').CompileData} CompileData - */ - -/** - * @typedef {Root | Content} Node - * @typedef {Extract<Node, UnistParent>} Parent - * - * @typedef {Omit<UnistParent, 'type' | 'children'> & {type: 'fragment', children: Array<PhrasingContent>}} Fragment - */ - -/** - * @callback Transform - * Extra transform, to change the AST afterwards. - * @param {Root} tree - * Tree to transform. - * @returns {Root | undefined | null | void} - * New tree or nothing (in which case the current tree is used). - * - * @callback Handle - * Handle a token. - * @param {CompileContext} this - * Context. - * @param {Token} token - * Current token. - * @returns {void} - * Nothing. - * - * @typedef {Record<string, Handle>} Handles - * Token types mapping to handles - * - * @callback OnEnterError - * Handle the case where the `right` token is open, but it is closed (by the - * `left` token) or because we reached the end of the document. - * @param {Omit<CompileContext, 'sliceSerialize'>} this - * Context. - * @param {Token | undefined} left - * Left token. - * @param {Token} right - * Right token. - * @returns {void} - * Nothing. - * - * @callback OnExitError - * Handle the case where the `right` token is open but it is closed by - * exiting the `left` token. - * @param {Omit<CompileContext, 'sliceSerialize'>} this - * Context. - * @param {Token} left - * Left token. - * @param {Token} right - * Right token. - * @returns {void} - * Nothing. - * - * @typedef {[Token, OnEnterError | undefined]} TokenTuple - * Open token on the stack, with an optional error handler for when - * that token isn’t closed properly. - */ - -/** - * @typedef Config - * Configuration. - * - * We have our defaults, but extensions will add more. - * @property {Array<string>} canContainEols - * Token types where line endings are used. - * @property {Handles} enter - * Opening handles. - * @property {Handles} exit - * Closing handles. - * @property {Array<Transform>} transforms - * Tree transforms. - * - * @typedef {Partial<Config>} Extension - * Change how markdown tokens from micromark are turned into mdast. - * - * @typedef CompileContext - * mdast compiler context. - * @property {Array<Node | Fragment>} stack - * Stack of nodes. - * @property {Array<TokenTuple>} tokenStack - * Stack of tokens. - * @property {<Key extends keyof CompileData>(key: Key) => CompileData[Key]} getData - * Get data from the key/value store. - * @property {<Key extends keyof CompileData>(key: Key, value?: CompileData[Key]) => void} setData - * Set data into the key/value store. - * @property {(this: CompileContext) => void} buffer - * Capture some of the output data. - * @property {(this: CompileContext) => string} resume - * Stop capturing and access the output data. - * @property {<Kind extends Node>(this: CompileContext, node: Kind, token: Token, onError?: OnEnterError) => Kind} enter - * Enter a token. - * @property {(this: CompileContext, token: Token, onError?: OnExitError) => Node} exit - * Exit a token. - * @property {TokenizeContext['sliceSerialize']} sliceSerialize - * Get the string value of a token. - * @property {Config} config - * Configuration. - * - * @typedef FromMarkdownOptions - * Configuration for how to build mdast. - * @property {Array<Extension | Array<Extension>> | null | undefined} [mdastExtensions] - * Extensions for this utility to change how tokens are turned into a tree. - * - * @typedef {ParseOptions & FromMarkdownOptions} Options - * Configuration. - */ - -// To do: micromark: create a registry of tokens? -// To do: next major: don’t return given `Node` from `enter`. -// To do: next major: remove setter/getter. - - - - - - - - - - -const lib_own = {}.hasOwnProperty - -/** - * @param value - * Markdown to parse. - * @param encoding - * Character encoding for when `value` is `Buffer`. - * @param options - * Configuration. - * @returns - * mdast tree. - */ -const fromMarkdown = - /** - * @type {( - * ((value: Value, encoding: Encoding, options?: Options | null | undefined) => Root) & - * ((value: Value, options?: Options | null | undefined) => Root) - * )} - */ - - /** - * @param {Value} value - * @param {Encoding | Options | null | undefined} [encoding] - * @param {Options | null | undefined} [options] - * @returns {Root} - */ - function (value, encoding, options) { - if (typeof encoding !== 'string') { - options = encoding - encoding = undefined - } - return compiler(options)( - postprocess( - parse(options).document().write(preprocess()(value, encoding, true)) - ) - ) - } - -/** - * Note this compiler only understand complete buffering, not streaming. - * - * @param {Options | null | undefined} [options] - */ -function compiler(options) { - /** @type {Config} */ - const config = { - transforms: [], - canContainEols: ['emphasis', 'fragment', 'heading', 'paragraph', 'strong'], - enter: { - autolink: opener(link), - autolinkProtocol: onenterdata, - autolinkEmail: onenterdata, - atxHeading: opener(heading), - blockQuote: opener(blockQuote), - characterEscape: onenterdata, - characterReference: onenterdata, - codeFenced: opener(codeFlow), - codeFencedFenceInfo: buffer, - codeFencedFenceMeta: buffer, - codeIndented: opener(codeFlow, buffer), - codeText: opener(codeText, buffer), - codeTextData: onenterdata, - data: onenterdata, - codeFlowValue: onenterdata, - definition: opener(definition), - definitionDestinationString: buffer, - definitionLabelString: buffer, - definitionTitleString: buffer, - emphasis: opener(emphasis), - hardBreakEscape: opener(hardBreak), - hardBreakTrailing: opener(hardBreak), - htmlFlow: opener(html, buffer), - htmlFlowData: onenterdata, - htmlText: opener(html, buffer), - htmlTextData: onenterdata, - image: opener(image), - label: buffer, - link: opener(link), - listItem: opener(listItem), - listItemValue: onenterlistitemvalue, - listOrdered: opener(list, onenterlistordered), - listUnordered: opener(list), - paragraph: opener(paragraph), - reference: onenterreference, - referenceString: buffer, - resourceDestinationString: buffer, - resourceTitleString: buffer, - setextHeading: opener(heading), - strong: opener(strong), - thematicBreak: opener(thematicBreak) - }, - exit: { - atxHeading: closer(), - atxHeadingSequence: onexitatxheadingsequence, - autolink: closer(), - autolinkEmail: onexitautolinkemail, - autolinkProtocol: onexitautolinkprotocol, - blockQuote: closer(), - characterEscapeValue: onexitdata, - characterReferenceMarkerHexadecimal: onexitcharacterreferencemarker, - characterReferenceMarkerNumeric: onexitcharacterreferencemarker, - characterReferenceValue: onexitcharacterreferencevalue, - codeFenced: closer(onexitcodefenced), - codeFencedFence: onexitcodefencedfence, - codeFencedFenceInfo: onexitcodefencedfenceinfo, - codeFencedFenceMeta: onexitcodefencedfencemeta, - codeFlowValue: onexitdata, - codeIndented: closer(onexitcodeindented), - codeText: closer(onexitcodetext), - codeTextData: onexitdata, - data: onexitdata, - definition: closer(), - definitionDestinationString: onexitdefinitiondestinationstring, - definitionLabelString: onexitdefinitionlabelstring, - definitionTitleString: onexitdefinitiontitlestring, - emphasis: closer(), - hardBreakEscape: closer(onexithardbreak), - hardBreakTrailing: closer(onexithardbreak), - htmlFlow: closer(onexithtmlflow), - htmlFlowData: onexitdata, - htmlText: closer(onexithtmltext), - htmlTextData: onexitdata, - image: closer(onexitimage), - label: onexitlabel, - labelText: onexitlabeltext, - lineEnding: onexitlineending, - link: closer(onexitlink), - listItem: closer(), - listOrdered: closer(), - listUnordered: closer(), - paragraph: closer(), - referenceString: onexitreferencestring, - resourceDestinationString: onexitresourcedestinationstring, - resourceTitleString: onexitresourcetitlestring, - resource: onexitresource, - setextHeading: closer(onexitsetextheading), - setextHeadingLineSequence: onexitsetextheadinglinesequence, - setextHeadingText: onexitsetextheadingtext, - strong: closer(), - thematicBreak: closer() - } - } - configure(config, (options || {}).mdastExtensions || []) - - /** @type {CompileData} */ - const data = {} - return compile - - /** - * Turn micromark events into an mdast tree. - * - * @param {Array<Event>} events - * Events. - * @returns {Root} - * mdast tree. - */ - function compile(events) { - /** @type {Root} */ - let tree = { - type: 'root', - children: [] - } - /** @type {Omit<CompileContext, 'sliceSerialize'>} */ - const context = { - stack: [tree], - tokenStack: [], - config, - enter, - exit, - buffer, - resume, - setData, - getData - } - /** @type {Array<number>} */ - const listStack = [] - let index = -1 - while (++index < events.length) { - // We preprocess lists to add `listItem` tokens, and to infer whether - // items the list itself are spread out. - if ( - events[index][1].type === 'listOrdered' || - events[index][1].type === 'listUnordered' - ) { - if (events[index][0] === 'enter') { - listStack.push(index) - } else { - const tail = listStack.pop() - index = prepareList(events, tail, index) - } - } - } - index = -1 - while (++index < events.length) { - const handler = config[events[index][0]] - if (lib_own.call(handler, events[index][1].type)) { - handler[events[index][1].type].call( - Object.assign( - { - sliceSerialize: events[index][2].sliceSerialize - }, - context - ), - events[index][1] - ) - } - } - - // Handle tokens still being open. - if (context.tokenStack.length > 0) { - const tail = context.tokenStack[context.tokenStack.length - 1] - const handler = tail[1] || defaultOnError - handler.call(context, undefined, tail[0]) - } - - // Figure out `root` position. - tree.position = { - start: lib_point( - events.length > 0 - ? events[0][1].start - : { - line: 1, - column: 1, - offset: 0 - } - ), - end: lib_point( - events.length > 0 - ? events[events.length - 2][1].end - : { - line: 1, - column: 1, - offset: 0 - } - ) - } - - // Call transforms. - index = -1 - while (++index < config.transforms.length) { - tree = config.transforms[index](tree) || tree - } - return tree - } - - /** - * @param {Array<Event>} events - * @param {number} start - * @param {number} length - * @returns {number} - */ - function prepareList(events, start, length) { - let index = start - 1 - let containerBalance = -1 - let listSpread = false - /** @type {Token | undefined} */ - let listItem - /** @type {number | undefined} */ - let lineIndex - /** @type {number | undefined} */ - let firstBlankLineIndex - /** @type {boolean | undefined} */ - let atMarker - while (++index <= length) { - const event = events[index] - if ( - event[1].type === 'listUnordered' || - event[1].type === 'listOrdered' || - event[1].type === 'blockQuote' - ) { - if (event[0] === 'enter') { - containerBalance++ - } else { - containerBalance-- - } - atMarker = undefined - } else if (event[1].type === 'lineEndingBlank') { - if (event[0] === 'enter') { - if ( - listItem && - !atMarker && - !containerBalance && - !firstBlankLineIndex - ) { - firstBlankLineIndex = index - } - atMarker = undefined - } - } else if ( - event[1].type === 'linePrefix' || - event[1].type === 'listItemValue' || - event[1].type === 'listItemMarker' || - event[1].type === 'listItemPrefix' || - event[1].type === 'listItemPrefixWhitespace' - ) { - // Empty. - } else { - atMarker = undefined - } - if ( - (!containerBalance && - event[0] === 'enter' && - event[1].type === 'listItemPrefix') || - (containerBalance === -1 && - event[0] === 'exit' && - (event[1].type === 'listUnordered' || - event[1].type === 'listOrdered')) - ) { - if (listItem) { - let tailIndex = index - lineIndex = undefined - while (tailIndex--) { - const tailEvent = events[tailIndex] - if ( - tailEvent[1].type === 'lineEnding' || - tailEvent[1].type === 'lineEndingBlank' - ) { - if (tailEvent[0] === 'exit') continue - if (lineIndex) { - events[lineIndex][1].type = 'lineEndingBlank' - listSpread = true - } - tailEvent[1].type = 'lineEnding' - lineIndex = tailIndex - } else if ( - tailEvent[1].type === 'linePrefix' || - tailEvent[1].type === 'blockQuotePrefix' || - tailEvent[1].type === 'blockQuotePrefixWhitespace' || - tailEvent[1].type === 'blockQuoteMarker' || - tailEvent[1].type === 'listItemIndent' - ) { - // Empty - } else { - break - } - } - if ( - firstBlankLineIndex && - (!lineIndex || firstBlankLineIndex < lineIndex) - ) { - listItem._spread = true - } - - // Fix position. - listItem.end = Object.assign( - {}, - lineIndex ? events[lineIndex][1].start : event[1].end - ) - events.splice(lineIndex || index, 0, ['exit', listItem, event[2]]) - index++ - length++ - } - - // Create a new list item. - if (event[1].type === 'listItemPrefix') { - listItem = { - type: 'listItem', - _spread: false, - start: Object.assign({}, event[1].start), - // @ts-expect-error: we’ll add `end` in a second. - end: undefined - } - // @ts-expect-error: `listItem` is most definitely defined, TS... - events.splice(index, 0, ['enter', listItem, event[2]]) - index++ - length++ - firstBlankLineIndex = undefined - atMarker = true - } - } - } - events[start][1]._spread = listSpread - return length - } - - /** - * Set data. - * - * @template {keyof CompileData} Key - * Field type. - * @param {Key} key - * Key of field. - * @param {CompileData[Key]} [value] - * New value. - * @returns {void} - * Nothing. - */ - function setData(key, value) { - data[key] = value - } - - /** - * Get data. - * - * @template {keyof CompileData} Key - * Field type. - * @param {Key} key - * Key of field. - * @returns {CompileData[Key]} - * Value. - */ - function getData(key) { - return data[key] - } - - /** - * Create an opener handle. - * - * @param {(token: Token) => Node} create - * Create a node. - * @param {Handle} [and] - * Optional function to also run. - * @returns {Handle} - * Handle. - */ - function opener(create, and) { - return open - - /** - * @this {CompileContext} - * @param {Token} token - * @returns {void} - */ - function open(token) { - enter.call(this, create(token), token) - if (and) and.call(this, token) - } - } - - /** - * @this {CompileContext} - * @returns {void} - */ - function buffer() { - this.stack.push({ - type: 'fragment', - children: [] - }) - } - - /** - * @template {Node} Kind - * Node type. - * @this {CompileContext} - * Context. - * @param {Kind} node - * Node to enter. - * @param {Token} token - * Corresponding token. - * @param {OnEnterError | undefined} [errorHandler] - * Handle the case where this token is open, but it is closed by something else. - * @returns {Kind} - * The given node. - */ - function enter(node, token, errorHandler) { - const parent = this.stack[this.stack.length - 1] - // @ts-expect-error: Assume `Node` can exist as a child of `parent`. - parent.children.push(node) - this.stack.push(node) - this.tokenStack.push([token, errorHandler]) - // @ts-expect-error: `end` will be patched later. - node.position = { - start: lib_point(token.start) - } - return node - } - - /** - * Create a closer handle. - * - * @param {Handle} [and] - * Optional function to also run. - * @returns {Handle} - * Handle. - */ - function closer(and) { - return close - - /** - * @this {CompileContext} - * @param {Token} token - * @returns {void} - */ - function close(token) { - if (and) and.call(this, token) - exit.call(this, token) - } - } - - /** - * @this {CompileContext} - * Context. - * @param {Token} token - * Corresponding token. - * @param {OnExitError | undefined} [onExitError] - * Handle the case where another token is open. - * @returns {Node} - * The closed node. - */ - function exit(token, onExitError) { - const node = this.stack.pop() - const open = this.tokenStack.pop() - if (!open) { - throw new Error( - 'Cannot close `' + - token.type + - '` (' + - stringifyPosition({ - start: token.start, - end: token.end - }) + - '): it’s not open' - ) - } else if (open[0].type !== token.type) { - if (onExitError) { - onExitError.call(this, token, open[0]) - } else { - const handler = open[1] || defaultOnError - handler.call(this, token, open[0]) - } - } - node.position.end = lib_point(token.end) - return node - } - - /** - * @this {CompileContext} - * @returns {string} - */ - function resume() { - return lib_toString(this.stack.pop()) - } - - // - // Handlers. - // - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onenterlistordered() { - setData('expectingFirstListItemValue', true) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onenterlistitemvalue(token) { - if (getData('expectingFirstListItemValue')) { - const ancestor = this.stack[this.stack.length - 2] - ancestor.start = Number.parseInt(this.sliceSerialize(token), 10) - setData('expectingFirstListItemValue') - } - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitcodefencedfenceinfo() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.lang = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitcodefencedfencemeta() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.meta = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitcodefencedfence() { - // Exit if this is the closing fence. - if (getData('flowCodeInside')) return - this.buffer() - setData('flowCodeInside', true) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitcodefenced() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.value = data.replace(/^(\r?\n|\r)|(\r?\n|\r)$/g, '') - setData('flowCodeInside') - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitcodeindented() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.value = data.replace(/(\r?\n|\r)$/g, '') - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitdefinitionlabelstring(token) { - const label = this.resume() - const node = this.stack[this.stack.length - 1] - node.label = label - node.identifier = normalizeIdentifier( - this.sliceSerialize(token) - ).toLowerCase() - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitdefinitiontitlestring() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.title = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitdefinitiondestinationstring() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.url = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitatxheadingsequence(token) { - const node = this.stack[this.stack.length - 1] - if (!node.depth) { - const depth = this.sliceSerialize(token).length - node.depth = depth - } - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitsetextheadingtext() { - setData('setextHeadingSlurpLineEnding', true) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitsetextheadinglinesequence(token) { - const node = this.stack[this.stack.length - 1] - node.depth = this.sliceSerialize(token).charCodeAt(0) === 61 ? 1 : 2 - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitsetextheading() { - setData('setextHeadingSlurpLineEnding') - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onenterdata(token) { - const node = this.stack[this.stack.length - 1] - let tail = node.children[node.children.length - 1] - if (!tail || tail.type !== 'text') { - // Add a new text node. - tail = text() - // @ts-expect-error: we’ll add `end` later. - tail.position = { - start: lib_point(token.start) - } - // @ts-expect-error: Assume `parent` accepts `text`. - node.children.push(tail) - } - this.stack.push(tail) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitdata(token) { - const tail = this.stack.pop() - tail.value += this.sliceSerialize(token) - tail.position.end = lib_point(token.end) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitlineending(token) { - const context = this.stack[this.stack.length - 1] - // If we’re at a hard break, include the line ending in there. - if (getData('atHardBreak')) { - const tail = context.children[context.children.length - 1] - tail.position.end = lib_point(token.end) - setData('atHardBreak') - return - } - if ( - !getData('setextHeadingSlurpLineEnding') && - config.canContainEols.includes(context.type) - ) { - onenterdata.call(this, token) - onexitdata.call(this, token) - } - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexithardbreak() { - setData('atHardBreak', true) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexithtmlflow() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.value = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexithtmltext() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.value = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitcodetext() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.value = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitlink() { - const node = this.stack[this.stack.length - 1] - // Note: there are also `identifier` and `label` fields on this link node! - // These are used / cleaned here. - // To do: clean. - if (getData('inReference')) { - /** @type {ReferenceType} */ - const referenceType = getData('referenceType') || 'shortcut' - node.type += 'Reference' - // @ts-expect-error: mutate. - node.referenceType = referenceType - // @ts-expect-error: mutate. - delete node.url - delete node.title - } else { - // @ts-expect-error: mutate. - delete node.identifier - // @ts-expect-error: mutate. - delete node.label - } - setData('referenceType') - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitimage() { - const node = this.stack[this.stack.length - 1] - // Note: there are also `identifier` and `label` fields on this link node! - // These are used / cleaned here. - // To do: clean. - if (getData('inReference')) { - /** @type {ReferenceType} */ - const referenceType = getData('referenceType') || 'shortcut' - node.type += 'Reference' - // @ts-expect-error: mutate. - node.referenceType = referenceType - // @ts-expect-error: mutate. - delete node.url - delete node.title - } else { - // @ts-expect-error: mutate. - delete node.identifier - // @ts-expect-error: mutate. - delete node.label - } - setData('referenceType') - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitlabeltext(token) { - const string = this.sliceSerialize(token) - const ancestor = this.stack[this.stack.length - 2] - // @ts-expect-error: stash this on the node, as it might become a reference - // later. - ancestor.label = decodeString(string) - // @ts-expect-error: same as above. - ancestor.identifier = normalizeIdentifier(string).toLowerCase() - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitlabel() { - const fragment = this.stack[this.stack.length - 1] - const value = this.resume() - const node = this.stack[this.stack.length - 1] - // Assume a reference. - setData('inReference', true) - if (node.type === 'link') { - /** @type {Array<StaticPhrasingContent>} */ - // @ts-expect-error: Assume static phrasing content. - const children = fragment.children - node.children = children - } else { - node.alt = value - } - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitresourcedestinationstring() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.url = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitresourcetitlestring() { - const data = this.resume() - const node = this.stack[this.stack.length - 1] - node.title = data - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitresource() { - setData('inReference') - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onenterreference() { - setData('referenceType', 'collapsed') - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitreferencestring(token) { - const label = this.resume() - const node = this.stack[this.stack.length - 1] - // @ts-expect-error: stash this on the node, as it might become a reference - // later. - node.label = label - // @ts-expect-error: same as above. - node.identifier = normalizeIdentifier( - this.sliceSerialize(token) - ).toLowerCase() - setData('referenceType', 'full') - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - - function onexitcharacterreferencemarker(token) { - setData('characterReferenceType', token.type) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitcharacterreferencevalue(token) { - const data = this.sliceSerialize(token) - const type = getData('characterReferenceType') - /** @type {string} */ - let value - if (type) { - value = decodeNumericCharacterReference( - data, - type === 'characterReferenceMarkerNumeric' ? 10 : 16 - ) - setData('characterReferenceType') - } else { - const result = decodeNamedCharacterReference(data) - value = result - } - const tail = this.stack.pop() - tail.value += value - tail.position.end = lib_point(token.end) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitautolinkprotocol(token) { - onexitdata.call(this, token) - const node = this.stack[this.stack.length - 1] - node.url = this.sliceSerialize(token) - } - - /** - * @this {CompileContext} - * @type {Handle} - */ - function onexitautolinkemail(token) { - onexitdata.call(this, token) - const node = this.stack[this.stack.length - 1] - node.url = 'mailto:' + this.sliceSerialize(token) - } - - // - // Creaters. - // - - /** @returns {Blockquote} */ - function blockQuote() { - return { - type: 'blockquote', - children: [] - } - } - - /** @returns {Code} */ - function codeFlow() { - return { - type: 'code', - lang: null, - meta: null, - value: '' - } - } - - /** @returns {InlineCode} */ - function codeText() { - return { - type: 'inlineCode', - value: '' - } - } - - /** @returns {Definition} */ - function definition() { - return { - type: 'definition', - identifier: '', - label: null, - title: null, - url: '' - } - } - - /** @returns {Emphasis} */ - function emphasis() { - return { - type: 'emphasis', - children: [] - } - } - - /** @returns {Heading} */ - function heading() { - // @ts-expect-error `depth` will be set later. - return { - type: 'heading', - depth: undefined, - children: [] - } - } - - /** @returns {Break} */ - function hardBreak() { - return { - type: 'break' - } - } - - /** @returns {HTML} */ - function html() { - return { - type: 'html', - value: '' - } - } - - /** @returns {Image} */ - function image() { - return { - type: 'image', - title: null, - url: '', - alt: null - } - } - - /** @returns {Link} */ - function link() { - return { - type: 'link', - title: null, - url: '', - children: [] - } - } - - /** - * @param {Token} token - * @returns {List} - */ - function list(token) { - return { - type: 'list', - ordered: token.type === 'listOrdered', - start: null, - spread: token._spread, - children: [] - } - } - - /** - * @param {Token} token - * @returns {ListItem} - */ - function listItem(token) { - return { - type: 'listItem', - spread: token._spread, - checked: null, - children: [] - } - } - - /** @returns {Paragraph} */ - function paragraph() { - return { - type: 'paragraph', - children: [] - } - } - - /** @returns {Strong} */ - function strong() { - return { - type: 'strong', - children: [] - } - } - - /** @returns {Text} */ - function text() { - return { - type: 'text', - value: '' - } - } - - /** @returns {ThematicBreak} */ - function thematicBreak() { - return { - type: 'thematicBreak' - } - } -} - -/** - * Copy a point-like value. - * - * @param {Point} d - * Point-like value. - * @returns {Point} - * unist point. - */ -function lib_point(d) { - return { - line: d.line, - column: d.column, - offset: d.offset - } -} - -/** - * @param {Config} combined - * @param {Array<Extension | Array<Extension>>} extensions - * @returns {void} - */ -function configure(combined, extensions) { - let index = -1 - while (++index < extensions.length) { - const value = extensions[index] - if (Array.isArray(value)) { - configure(combined, value) - } else { - extension(combined, value) - } - } -} - -/** - * @param {Config} combined - * @param {Extension} extension - * @returns {void} - */ -function extension(combined, extension) { - /** @type {keyof Extension} */ - let key - for (key in extension) { - if (lib_own.call(extension, key)) { - if (key === 'canContainEols') { - const right = extension[key] - if (right) { - combined[key].push(...right) - } - } else if (key === 'transforms') { - const right = extension[key] - if (right) { - combined[key].push(...right) - } - } else if (key === 'enter' || key === 'exit') { - const right = extension[key] - if (right) { - Object.assign(combined[key], right) - } - } - } - } -} - -/** @type {OnEnterError} */ -function defaultOnError(left, right) { - if (left) { - throw new Error( - 'Cannot close `' + - left.type + - '` (' + - stringifyPosition({ - start: left.start, - end: left.end - }) + - '): a different token (`' + - right.type + - '`, ' + - stringifyPosition({ - start: right.start, - end: right.end - }) + - ') is open' - ) - } else { - throw new Error( - 'Cannot close document, a token (`' + - right.type + - '`, ' + - stringifyPosition({ - start: right.start, - end: right.end - }) + - ') is still open' - ) - } -} - -// EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js -var esm = __webpack_require__(18464); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-a48a4c90.js - - - -function preprocessMarkdown(markdown) { - const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); - const withoutExtraSpaces = (0,esm/* dedent */.Z)(withoutMultipleNewlines); - return withoutExtraSpaces; -} -function markdownToLines(markdown) { - const preprocessedMarkdown = preprocessMarkdown(markdown); - const { children } = fromMarkdown(preprocessedMarkdown); - const lines = [[]]; - let currentLine = 0; - function processNode(node, parentType = "normal") { - if (node.type === "text") { - const textLines = node.value.split("\n"); - textLines.forEach((textLine, index) => { - if (index !== 0) { - currentLine++; - lines.push([]); - } - textLine.split(" ").forEach((word) => { - if (word) { - lines[currentLine].push({ content: word, type: parentType }); - } - }); - }); - } else if (node.type === "strong" || node.type === "emphasis") { - node.children.forEach((contentNode) => { - processNode(contentNode, node.type); - }); - } - } - children.forEach((treeNode) => { - if (treeNode.type === "paragraph") { - treeNode.children.forEach((contentNode) => { - processNode(contentNode); - }); - } - }); - return lines; -} -function markdownToHTML(markdown) { - const { children } = fromMarkdown(markdown); - function output(node) { - if (node.type === "text") { - return node.value.replace(/\n/g, "<br/>"); - } else if (node.type === "strong") { - return `<strong>${node.children.map(output).join("")}</strong>`; - } else if (node.type === "emphasis") { - return `<em>${node.children.map(output).join("")}</em>`; - } else if (node.type === "paragraph") { - return `<p>${node.children.map(output).join("")}</p>`; - } - return `Unsupported markdown: ${node.type}`; - } - return children.map(output).join(""); -} -function splitTextToChars(text) { - if (Intl.Segmenter) { - return [...new Intl.Segmenter().segment(text)].map((s) => s.segment); - } - return [...text]; -} -function splitWordToFitWidth(checkFit, word) { - const characters = splitTextToChars(word.content); - return splitWordToFitWidthRecursion(checkFit, [], characters, word.type); -} -function splitWordToFitWidthRecursion(checkFit, usedChars, remainingChars, type) { - if (remainingChars.length === 0) { - return [ - { content: usedChars.join(""), type }, - { content: "", type } - ]; - } - const [nextChar, ...rest] = remainingChars; - const newWord = [...usedChars, nextChar]; - if (checkFit([{ content: newWord.join(""), type }])) { - return splitWordToFitWidthRecursion(checkFit, newWord, rest, type); - } - if (usedChars.length === 0 && nextChar) { - usedChars.push(nextChar); - remainingChars.shift(); - } - return [ - { content: usedChars.join(""), type }, - { content: remainingChars.join(""), type } - ]; -} -function splitLineToFitWidth(line, checkFit) { - if (line.some(({ content }) => content.includes("\n"))) { - throw new Error("splitLineToFitWidth does not support newlines in the line"); - } - return splitLineToFitWidthRecursion(line, checkFit); -} -function splitLineToFitWidthRecursion(words, checkFit, lines = [], newLine = []) { - if (words.length === 0) { - if (newLine.length > 0) { - lines.push(newLine); - } - return lines.length > 0 ? lines : []; - } - let joiner = ""; - if (words[0].content === " ") { - joiner = " "; - words.shift(); - } - const nextWord = words.shift() ?? { content: " ", type: "normal" }; - const lineWithNextWord = [...newLine]; - if (joiner !== "") { - lineWithNextWord.push({ content: joiner, type: "normal" }); - } - lineWithNextWord.push(nextWord); - if (checkFit(lineWithNextWord)) { - return splitLineToFitWidthRecursion(words, checkFit, lines, lineWithNextWord); - } - if (newLine.length > 0) { - lines.push(newLine); - words.unshift(nextWord); - } else if (nextWord.content) { - const [line, rest] = splitWordToFitWidth(checkFit, nextWord); - lines.push([line]); - if (rest.content) { - words.unshift(rest); - } - } - return splitLineToFitWidthRecursion(words, checkFit, lines); -} -function applyStyle(dom, styleFn) { - if (styleFn) { - dom.attr("style", styleFn); - } -} -function addHtmlSpan(element, node, width, classes, addBackground = false) { - const fo = element.append("foreignObject"); - const div = fo.append("xhtml:div"); - const label = node.label; - const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; - div.html( - ` - <span class="${labelClass} ${classes}" ` + (node.labelStyle ? 'style="' + node.labelStyle + '"' : "") + ">" + label + "</span>" - ); - applyStyle(div, node.labelStyle); - div.style("display", "table-cell"); - div.style("white-space", "nowrap"); - div.style("max-width", width + "px"); - div.attr("xmlns", "http://www.w3.org/1999/xhtml"); - if (addBackground) { - div.attr("class", "labelBkg"); - } - let bbox = div.node().getBoundingClientRect(); - if (bbox.width === width) { - div.style("display", "table"); - div.style("white-space", "break-spaces"); - div.style("width", width + "px"); - bbox = div.node().getBoundingClientRect(); - } - fo.style("width", bbox.width); - fo.style("height", bbox.height); - return fo.node(); -} -function createTspan(textElement, lineIndex, lineHeight) { - return textElement.append("tspan").attr("class", "text-outer-tspan").attr("x", 0).attr("y", lineIndex * lineHeight - 0.1 + "em").attr("dy", lineHeight + "em"); -} -function computeWidthOfText(parentNode, lineHeight, line) { - const testElement = parentNode.append("text"); - const testSpan = createTspan(testElement, 1, lineHeight); - updateTextContentAndStyles(testSpan, line); - const textLength = testSpan.node().getComputedTextLength(); - testElement.remove(); - return textLength; -} -function computeDimensionOfText(parentNode, lineHeight, text) { - var _a; - const testElement = parentNode.append("text"); - const testSpan = createTspan(testElement, 1, lineHeight); - updateTextContentAndStyles(testSpan, [{ content: text, type: "normal" }]); - const textDimension = (_a = testSpan.node()) == null ? void 0 : _a.getBoundingClientRect(); - if (textDimension) { - testElement.remove(); - } - return textDimension; -} -function createFormattedText(width, g, structuredText, addBackground = false) { - const lineHeight = 1.1; - const labelGroup = g.append("g"); - const bkg = labelGroup.insert("rect").attr("class", "background"); - const textElement = labelGroup.append("text").attr("y", "-10.1"); - let lineIndex = 0; - for (const line of structuredText) { - const checkWidth = (line2) => computeWidthOfText(labelGroup, lineHeight, line2) <= width; - const linesUnderWidth = checkWidth(line) ? [line] : splitLineToFitWidth(line, checkWidth); - for (const preparedLine of linesUnderWidth) { - const tspan = createTspan(textElement, lineIndex, lineHeight); - updateTextContentAndStyles(tspan, preparedLine); - lineIndex++; - } - } - if (addBackground) { - const bbox = textElement.node().getBBox(); - const padding = 2; - bkg.attr("x", -padding).attr("y", -padding).attr("width", bbox.width + 2 * padding).attr("height", bbox.height + 2 * padding); - return labelGroup.node(); - } else { - return textElement.node(); - } -} -function updateTextContentAndStyles(tspan, wrappedLine) { - tspan.text(""); - wrappedLine.forEach((word, index) => { - const innerTspan = tspan.append("tspan").attr("font-style", word.type === "emphasis" ? "italic" : "normal").attr("class", "text-inner-tspan").attr("font-weight", word.type === "strong" ? "bold" : "normal"); - if (index === 0) { - innerTspan.text(word.content); - } else { - innerTspan.text(" " + word.content); - } - }); -} -const createText = (el, text = "", { - style = "", - isTitle = false, - classes = "", - useHtmlLabels = true, - isNode = true, - width = 200, - addSvgBackground = false -} = {}) => { - mermaid_04fb0060.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); - if (useHtmlLabels) { - const htmlText = markdownToHTML(text); - const node = { - isNode, - label: (0,mermaid_04fb0060.J)(htmlText).replace( - /fa[blrs]?:fa-[\w-]+/g, - (s) => `<i class='${s.replace(":", " ")}'></i>` - ), - labelStyle: style.replace("fill:", "color:") - }; - const vertexNode = addHtmlSpan(el, node, width, classes, addSvgBackground); - return vertexNode; - } else { - const structuredText = markdownToLines(text); - const svgLabel = createFormattedText(width, el, structuredText, addSvgBackground); - return svgLabel; - } -}; - - - -/***/ }), - -/***/ 80339: -/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { - -"use strict"; -/* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ diagram: () => (/* binding */ diagram) -/* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(76562); -/* harmony import */ var cytoscape_dist_cytoscape_umd_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(71377); -/* harmony import */ var cytoscape_cose_bilkent__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(14607); -/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(91619); -/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(12281); -/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_10__ = __webpack_require__(7201); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(22424); - - - - - - - - - - - - - - - -var parser = function() { - var o = function(k, v, o2, l) { - for (o2 = o2 || {}, l = k.length; l--; o2[k[l]] = v) - ; - return o2; - }, $V0 = [1, 4], $V1 = [1, 13], $V2 = [1, 12], $V3 = [1, 15], $V4 = [1, 16], $V5 = [1, 20], $V6 = [1, 19], $V7 = [6, 7, 8], $V8 = [1, 26], $V9 = [1, 24], $Va = [1, 25], $Vb = [6, 7, 11], $Vc = [1, 6, 13, 15, 16, 19, 22], $Vd = [1, 33], $Ve = [1, 34], $Vf = [1, 6, 7, 11, 13, 15, 16, 19, 22]; - var parser2 = { - trace: function trace() { - }, - yy: {}, - symbols_: { "error": 2, "start": 3, "mindMap": 4, "spaceLines": 5, "SPACELINE": 6, "NL": 7, "MINDMAP": 8, "document": 9, "stop": 10, "EOF": 11, "statement": 12, "SPACELIST": 13, "node": 14, "ICON": 15, "CLASS": 16, "nodeWithId": 17, "nodeWithoutId": 18, "NODE_DSTART": 19, "NODE_DESCR": 20, "NODE_DEND": 21, "NODE_ID": 22, "$accept": 0, "$end": 1 }, - terminals_: { 2: "error", 6: "SPACELINE", 7: "NL", 8: "MINDMAP", 11: "EOF", 13: "SPACELIST", 15: "ICON", 16: "CLASS", 19: "NODE_DSTART", 20: "NODE_DESCR", 21: "NODE_DEND", 22: "NODE_ID" }, - productions_: [0, [3, 1], [3, 2], [5, 1], [5, 2], [5, 2], [4, 2], [4, 3], [10, 1], [10, 1], [10, 1], [10, 2], [10, 2], [9, 3], [9, 2], [12, 2], [12, 2], [12, 2], [12, 1], [12, 1], [12, 1], [12, 1], [12, 1], [14, 1], [14, 1], [18, 3], [17, 1], [17, 4]], - performAction: function anonymous(yytext, yyleng, yylineno, yy, yystate, $$, _$) { - var $0 = $$.length - 1; - switch (yystate) { - case 6: - case 7: - return yy; - case 8: - yy.getLogger().trace("Stop NL "); - break; - case 9: - yy.getLogger().trace("Stop EOF "); - break; - case 11: - yy.getLogger().trace("Stop NL2 "); - break; - case 12: - yy.getLogger().trace("Stop EOF2 "); - break; - case 15: - yy.getLogger().info("Node: ", $$[$0].id); - yy.addNode($$[$0 - 1].length, $$[$0].id, $$[$0].descr, $$[$0].type); - break; - case 16: - yy.getLogger().trace("Icon: ", $$[$0]); - yy.decorateNode({ icon: $$[$0] }); - break; - case 17: - case 21: - yy.decorateNode({ class: $$[$0] }); - break; - case 18: - yy.getLogger().trace("SPACELIST"); - break; - case 19: - yy.getLogger().trace("Node: ", $$[$0].id); - yy.addNode(0, $$[$0].id, $$[$0].descr, $$[$0].type); - break; - case 20: - yy.decorateNode({ icon: $$[$0] }); - break; - case 25: - yy.getLogger().trace("node found ..", $$[$0 - 2]); - this.$ = { id: $$[$0 - 1], descr: $$[$0 - 1], type: yy.getType($$[$0 - 2], $$[$0]) }; - break; - case 26: - this.$ = { id: $$[$0], descr: $$[$0], type: yy.nodeType.DEFAULT }; - break; - case 27: - yy.getLogger().trace("node found ..", $$[$0 - 3]); - this.$ = { id: $$[$0 - 3], descr: $$[$0 - 1], type: yy.getType($$[$0 - 2], $$[$0]) }; - break; - } - }, - table: [{ 3: 1, 4: 2, 5: 3, 6: [1, 5], 8: $V0 }, { 1: [3] }, { 1: [2, 1] }, { 4: 6, 6: [1, 7], 7: [1, 8], 8: $V0 }, { 6: $V1, 7: [1, 10], 9: 9, 12: 11, 13: $V2, 14: 14, 15: $V3, 16: $V4, 17: 17, 18: 18, 19: $V5, 22: $V6 }, o($V7, [2, 3]), { 1: [2, 2] }, o($V7, [2, 4]), o($V7, [2, 5]), { 1: [2, 6], 6: $V1, 12: 21, 13: $V2, 14: 14, 15: $V3, 16: $V4, 17: 17, 18: 18, 19: $V5, 22: $V6 }, { 6: $V1, 9: 22, 12: 11, 13: $V2, 14: 14, 15: $V3, 16: $V4, 17: 17, 18: 18, 19: $V5, 22: $V6 }, { 6: $V8, 7: $V9, 10: 23, 11: $Va }, o($Vb, [2, 22], { 17: 17, 18: 18, 14: 27, 15: [1, 28], 16: [1, 29], 19: $V5, 22: $V6 }), o($Vb, [2, 18]), o($Vb, [2, 19]), o($Vb, [2, 20]), o($Vb, [2, 21]), o($Vb, [2, 23]), o($Vb, [2, 24]), o($Vb, [2, 26], { 19: [1, 30] }), { 20: [1, 31] }, { 6: $V8, 7: $V9, 10: 32, 11: $Va }, { 1: [2, 7], 6: $V1, 12: 21, 13: $V2, 14: 14, 15: $V3, 16: $V4, 17: 17, 18: 18, 19: $V5, 22: $V6 }, o($Vc, [2, 14], { 7: $Vd, 11: $Ve }), o($Vf, [2, 8]), o($Vf, [2, 9]), o($Vf, [2, 10]), o($Vb, [2, 15]), o($Vb, [2, 16]), o($Vb, [2, 17]), { 20: [1, 35] }, { 21: [1, 36] }, o($Vc, [2, 13], { 7: $Vd, 11: $Ve }), o($Vf, [2, 11]), o($Vf, [2, 12]), { 21: [1, 37] }, o($Vb, [2, 25]), o($Vb, [2, 27])], - defaultActions: { 2: [2, 1], 6: [2, 2] }, - parseError: function parseError2(str, hash) { - if (hash.recoverable) { - this.trace(str); - } else { - var error = new Error(str); - error.hash = hash; - throw error; - } - }, - parse: function parse(input) { - var self = this, stack = [0], tstack = [], vstack = [null], lstack = [], table = this.table, yytext = "", yylineno = 0, yyleng = 0, TERROR = 2, EOF = 1; - var args = lstack.slice.call(arguments, 1); - var lexer2 = Object.create(this.lexer); - var sharedState = { yy: {} }; - for (var k in this.yy) { - if (Object.prototype.hasOwnProperty.call(this.yy, k)) { - sharedState.yy[k] = this.yy[k]; - } - } - lexer2.setInput(input, sharedState.yy); - sharedState.yy.lexer = lexer2; - sharedState.yy.parser = this; - if (typeof lexer2.yylloc == "undefined") { - lexer2.yylloc = {}; - } - var yyloc = lexer2.yylloc; - lstack.push(yyloc); - var ranges = lexer2.options && lexer2.options.ranges; - if (typeof sharedState.yy.parseError === "function") { - this.parseError = sharedState.yy.parseError; - } else { - this.parseError = Object.getPrototypeOf(this).parseError; - } - function lex() { - var token; - token = tstack.pop() || lexer2.lex() || EOF; - if (typeof token !== "number") { - if (token instanceof Array) { - tstack = token; - token = tstack.pop(); - } - token = self.symbols_[token] || token; - } - return token; - } - var symbol, state, action, r, yyval = {}, p, len, newState, expected; - while (true) { - state = stack[stack.length - 1]; - if (this.defaultActions[state]) { - action = this.defaultActions[state]; - } else { - if (symbol === null || typeof symbol == "undefined") { - symbol = lex(); - } - action = table[state] && table[state][symbol]; - } - if (typeof action === "undefined" || !action.length || !action[0]) { - var errStr = ""; - expected = []; - for (p in table[state]) { - if (this.terminals_[p] && p > TERROR) { - expected.push("'" + this.terminals_[p] + "'"); - } - } - if (lexer2.showPosition) { - errStr = "Parse error on line " + (yylineno + 1) + ":\n" + lexer2.showPosition() + "\nExpecting " + expected.join(", ") + ", got '" + (this.terminals_[symbol] || symbol) + "'"; - } else { - errStr = "Parse error on line " + (yylineno + 1) + ": Unexpected " + (symbol == EOF ? "end of input" : "'" + (this.terminals_[symbol] || symbol) + "'"); - } - this.parseError(errStr, { - text: lexer2.match, - token: this.terminals_[symbol] || symbol, - line: lexer2.yylineno, - loc: yyloc, - expected - }); - } - if (action[0] instanceof Array && action.length > 1) { - throw new Error("Parse Error: multiple actions possible at state: " + state + ", token: " + symbol); - } - switch (action[0]) { - case 1: - stack.push(symbol); - vstack.push(lexer2.yytext); - lstack.push(lexer2.yylloc); - stack.push(action[1]); - symbol = null; - { - yyleng = lexer2.yyleng; - yytext = lexer2.yytext; - yylineno = lexer2.yylineno; - yyloc = lexer2.yylloc; - } - break; - case 2: - len = this.productions_[action[1]][1]; - yyval.$ = vstack[vstack.length - len]; - yyval._$ = { - first_line: lstack[lstack.length - (len || 1)].first_line, - last_line: lstack[lstack.length - 1].last_line, - first_column: lstack[lstack.length - (len || 1)].first_column, - last_column: lstack[lstack.length - 1].last_column - }; - if (ranges) { - yyval._$.range = [ - lstack[lstack.length - (len || 1)].range[0], - lstack[lstack.length - 1].range[1] - ]; - } - r = this.performAction.apply(yyval, [ - yytext, - yyleng, - yylineno, - sharedState.yy, - action[1], - vstack, - lstack - ].concat(args)); - if (typeof r !== "undefined") { - return r; - } - if (len) { - stack = stack.slice(0, -1 * len * 2); - vstack = vstack.slice(0, -1 * len); - lstack = lstack.slice(0, -1 * len); - } - stack.push(this.productions_[action[1]][0]); - vstack.push(yyval.$); - lstack.push(yyval._$); - newState = table[stack[stack.length - 2]][stack[stack.length - 1]]; - stack.push(newState); - break; - case 3: - return true; - } - } - return true; - } - }; - var lexer = function() { - var lexer2 = { - EOF: 1, - parseError: function parseError2(str, hash) { - if (this.yy.parser) { - this.yy.parser.parseError(str, hash); - } else { - throw new Error(str); - } - }, - // resets the lexer, sets new input - setInput: function(input, yy) { - this.yy = yy || this.yy || {}; - this._input = input; - this._more = this._backtrack = this.done = false; - this.yylineno = this.yyleng = 0; - this.yytext = this.matched = this.match = ""; - this.conditionStack = ["INITIAL"]; - this.yylloc = { - first_line: 1, - first_column: 0, - last_line: 1, - last_column: 0 - }; - if (this.options.ranges) { - this.yylloc.range = [0, 0]; - } - this.offset = 0; - return this; - }, - // consumes and returns one char from the input - input: function() { - var ch = this._input[0]; - this.yytext += ch; - this.yyleng++; - this.offset++; - this.match += ch; - this.matched += ch; - var lines = ch.match(/(?:\r\n?|\n).*/g); - if (lines) { - this.yylineno++; - this.yylloc.last_line++; - } else { - this.yylloc.last_column++; - } - if (this.options.ranges) { - this.yylloc.range[1]++; - } - this._input = this._input.slice(1); - return ch; - }, - // unshifts one char (or a string) into the input - unput: function(ch) { - var len = ch.length; - var lines = ch.split(/(?:\r\n?|\n)/g); - this._input = ch + this._input; - this.yytext = this.yytext.substr(0, this.yytext.length - len); - this.offset -= len; - var oldLines = this.match.split(/(?:\r\n?|\n)/g); - this.match = this.match.substr(0, this.match.length - 1); - this.matched = this.matched.substr(0, this.matched.length - 1); - if (lines.length - 1) { - this.yylineno -= lines.length - 1; - } - var r = this.yylloc.range; - this.yylloc = { - first_line: this.yylloc.first_line, - last_line: this.yylineno + 1, - first_column: this.yylloc.first_column, - last_column: lines ? (lines.length === oldLines.length ? this.yylloc.first_column : 0) + oldLines[oldLines.length - lines.length].length - lines[0].length : this.yylloc.first_column - len - }; - if (this.options.ranges) { - this.yylloc.range = [r[0], r[0] + this.yyleng - len]; - } - this.yyleng = this.yytext.length; - return this; - }, - // When called from action, caches matched text and appends it on next action - more: function() { - this._more = true; - return this; - }, - // When called from action, signals the lexer that this rule fails to match the input, so the next matching rule (regex) should be tested instead. - reject: function() { - if (this.options.backtrack_lexer) { - this._backtrack = true; - } else { - return this.parseError("Lexical error on line " + (this.yylineno + 1) + ". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n" + this.showPosition(), { - text: "", - token: null, - line: this.yylineno - }); - } - return this; - }, - // retain first n characters of the match - less: function(n) { - this.unput(this.match.slice(n)); - }, - // displays already matched input, i.e. for error messages - pastInput: function() { - var past = this.matched.substr(0, this.matched.length - this.match.length); - return (past.length > 20 ? "..." : "") + past.substr(-20).replace(/\n/g, ""); - }, - // displays upcoming input, i.e. for error messages - upcomingInput: function() { - var next = this.match; - if (next.length < 20) { - next += this._input.substr(0, 20 - next.length); - } - return (next.substr(0, 20) + (next.length > 20 ? "..." : "")).replace(/\n/g, ""); - }, - // displays the character position where the lexing error occurred, i.e. for error messages - showPosition: function() { - var pre = this.pastInput(); - var c = new Array(pre.length + 1).join("-"); - return pre + this.upcomingInput() + "\n" + c + "^"; - }, - // test the lexed token: return FALSE when not a match, otherwise return token - test_match: function(match, indexed_rule) { - var token, lines, backup; - if (this.options.backtrack_lexer) { - backup = { - yylineno: this.yylineno, - yylloc: { - first_line: this.yylloc.first_line, - last_line: this.last_line, - first_column: this.yylloc.first_column, - last_column: this.yylloc.last_column - }, - yytext: this.yytext, - match: this.match, - matches: this.matches, - matched: this.matched, - yyleng: this.yyleng, - offset: this.offset, - _more: this._more, - _input: this._input, - yy: this.yy, - conditionStack: this.conditionStack.slice(0), - done: this.done - }; - if (this.options.ranges) { - backup.yylloc.range = this.yylloc.range.slice(0); - } - } - lines = match[0].match(/(?:\r\n?|\n).*/g); - if (lines) { - this.yylineno += lines.length; - } - this.yylloc = { - first_line: this.yylloc.last_line, - last_line: this.yylineno + 1, - first_column: this.yylloc.last_column, - last_column: lines ? lines[lines.length - 1].length - lines[lines.length - 1].match(/\r?\n?/)[0].length : this.yylloc.last_column + match[0].length - }; - this.yytext += match[0]; - this.match += match[0]; - this.matches = match; - this.yyleng = this.yytext.length; - if (this.options.ranges) { - this.yylloc.range = [this.offset, this.offset += this.yyleng]; - } - this._more = false; - this._backtrack = false; - this._input = this._input.slice(match[0].length); - this.matched += match[0]; - token = this.performAction.call(this, this.yy, this, indexed_rule, this.conditionStack[this.conditionStack.length - 1]); - if (this.done && this._input) { - this.done = false; - } - if (token) { - return token; - } else if (this._backtrack) { - for (var k in backup) { - this[k] = backup[k]; - } - return false; - } - return false; - }, - // return next match in input - next: function() { - if (this.done) { - return this.EOF; - } - if (!this._input) { - this.done = true; - } - var token, match, tempMatch, index; - if (!this._more) { - this.yytext = ""; - this.match = ""; - } - var rules = this._currentRules(); - for (var i = 0; i < rules.length; i++) { - tempMatch = this._input.match(this.rules[rules[i]]); - if (tempMatch && (!match || tempMatch[0].length > match[0].length)) { - match = tempMatch; - index = i; - if (this.options.backtrack_lexer) { - token = this.test_match(tempMatch, rules[i]); - if (token !== false) { - return token; - } else if (this._backtrack) { - match = false; - continue; - } else { - return false; - } - } else if (!this.options.flex) { - break; - } - } - } - if (match) { - token = this.test_match(match, rules[index]); - if (token !== false) { - return token; - } - return false; - } - if (this._input === "") { - return this.EOF; - } else { - return this.parseError("Lexical error on line " + (this.yylineno + 1) + ". Unrecognized text.\n" + this.showPosition(), { - text: "", - token: null, - line: this.yylineno - }); - } - }, - // return next match that has a token - lex: function lex() { - var r = this.next(); - if (r) { - return r; - } else { - return this.lex(); - } - }, - // activates a new lexer condition state (pushes the new lexer condition state onto the condition stack) - begin: function begin(condition) { - this.conditionStack.push(condition); - }, - // pop the previously active lexer condition state off the condition stack - popState: function popState() { - var n = this.conditionStack.length - 1; - if (n > 0) { - return this.conditionStack.pop(); - } else { - return this.conditionStack[0]; - } - }, - // produce the lexer rule set which is active for the currently active lexer condition state - _currentRules: function _currentRules() { - if (this.conditionStack.length && this.conditionStack[this.conditionStack.length - 1]) { - return this.conditions[this.conditionStack[this.conditionStack.length - 1]].rules; - } else { - return this.conditions["INITIAL"].rules; - } - }, - // return the currently active lexer condition state; when an index argument is provided it produces the N-th previous condition state, if available - topState: function topState(n) { - n = this.conditionStack.length - 1 - Math.abs(n || 0); - if (n >= 0) { - return this.conditionStack[n]; - } else { - return "INITIAL"; - } - }, - // alias for begin(condition) - pushState: function pushState(condition) { - this.begin(condition); - }, - // return the number of states currently on the stack - stateStackSize: function stateStackSize() { - return this.conditionStack.length; - }, - options: { "case-insensitive": true }, - performAction: function anonymous(yy, yy_, $avoiding_name_collisions, YY_START) { - switch ($avoiding_name_collisions) { - case 0: - yy.getLogger().trace("Found comment", yy_.yytext); - return 6; - case 1: - return 8; - case 2: - this.begin("CLASS"); - break; - case 3: - this.popState(); - return 16; - case 4: - this.popState(); - break; - case 5: - yy.getLogger().trace("Begin icon"); - this.begin("ICON"); - break; - case 6: - yy.getLogger().trace("SPACELINE"); - return 6; - case 7: - return 7; - case 8: - return 15; - case 9: - yy.getLogger().trace("end icon"); - this.popState(); - break; - case 10: - yy.getLogger().trace("Exploding node"); - this.begin("NODE"); - return 19; - case 11: - yy.getLogger().trace("Cloud"); - this.begin("NODE"); - return 19; - case 12: - yy.getLogger().trace("Explosion Bang"); - this.begin("NODE"); - return 19; - case 13: - yy.getLogger().trace("Cloud Bang"); - this.begin("NODE"); - return 19; - case 14: - this.begin("NODE"); - return 19; - case 15: - this.begin("NODE"); - return 19; - case 16: - this.begin("NODE"); - return 19; - case 17: - this.begin("NODE"); - return 19; - case 18: - return 13; - case 19: - return 22; - case 20: - return 11; - case 21: - this.begin("NSTR2"); - break; - case 22: - return "NODE_DESCR"; - case 23: - this.popState(); - break; - case 24: - yy.getLogger().trace("Starting NSTR"); - this.begin("NSTR"); - break; - case 25: - yy.getLogger().trace("description:", yy_.yytext); - return "NODE_DESCR"; - case 26: - this.popState(); - break; - case 27: - this.popState(); - yy.getLogger().trace("node end ))"); - return "NODE_DEND"; - case 28: - this.popState(); - yy.getLogger().trace("node end )"); - return "NODE_DEND"; - case 29: - this.popState(); - yy.getLogger().trace("node end ...", yy_.yytext); - return "NODE_DEND"; - case 30: - this.popState(); - yy.getLogger().trace("node end (("); - return "NODE_DEND"; - case 31: - this.popState(); - yy.getLogger().trace("node end (-"); - return "NODE_DEND"; - case 32: - this.popState(); - yy.getLogger().trace("node end (-"); - return "NODE_DEND"; - case 33: - this.popState(); - yy.getLogger().trace("node end (("); - return "NODE_DEND"; - case 34: - this.popState(); - yy.getLogger().trace("node end (("); - return "NODE_DEND"; - case 35: - yy.getLogger().trace("Long description:", yy_.yytext); - return 20; - case 36: - yy.getLogger().trace("Long description:", yy_.yytext); - return 20; - } - }, - rules: [/^(?:\s*%%.*)/i, /^(?:mindmap\b)/i, /^(?::::)/i, /^(?:.+)/i, /^(?:\n)/i, /^(?:::icon\()/i, /^(?:[\s]+[\n])/i, /^(?:[\n]+)/i, /^(?:[^\)]+)/i, /^(?:\))/i, /^(?:-\))/i, /^(?:\(-)/i, /^(?:\)\))/i, /^(?:\))/i, /^(?:\(\()/i, /^(?:\{\{)/i, /^(?:\()/i, /^(?:\[)/i, /^(?:[\s]+)/i, /^(?:[^\(\[\n\)\{\}]+)/i, /^(?:$)/i, /^(?:["][`])/i, /^(?:[^`"]+)/i, /^(?:[`]["])/i, /^(?:["])/i, /^(?:[^"]+)/i, /^(?:["])/i, /^(?:[\)]\))/i, /^(?:[\)])/i, /^(?:[\]])/i, /^(?:\}\})/i, /^(?:\(-)/i, /^(?:-\))/i, /^(?:\(\()/i, /^(?:\()/i, /^(?:[^\)\]\(\}]+)/i, /^(?:.+(?!\(\())/i], - conditions: { "CLASS": { "rules": [3, 4], "inclusive": false }, "ICON": { "rules": [8, 9], "inclusive": false }, "NSTR2": { "rules": [22, 23], "inclusive": false }, "NSTR": { "rules": [25, 26], "inclusive": false }, "NODE": { "rules": [21, 24, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36], "inclusive": false }, "INITIAL": { "rules": [0, 1, 2, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "inclusive": true } } - }; - return lexer2; - }(); - parser2.lexer = lexer; - function Parser() { - this.yy = {}; - } - Parser.prototype = parser2; - parser2.Parser = Parser; - return new Parser(); -}(); -parser.parser = parser; -const mindmapParser = parser; -const sanitizeText = (text) => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.d)(text, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)()); -let nodes = []; -let cnt = 0; -let elements = {}; -const clear = () => { - nodes = []; - cnt = 0; - elements = {}; -}; -const getParent = function(level) { - for (let i = nodes.length - 1; i >= 0; i--) { - if (nodes[i].level < level) { - return nodes[i]; - } - } - return null; -}; -const getMindmap = () => { - return nodes.length > 0 ? nodes[0] : null; -}; -const addNode = (level, id, descr, type) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("addNode", level, id, descr, type); - const conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)(); - const node = { - id: cnt++, - nodeId: sanitizeText(id), - level, - descr: sanitizeText(descr), - type, - children: [], - width: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().mindmap.maxNodeWidth - }; - switch (node.type) { - case nodeType.ROUNDED_RECT: - node.padding = 2 * conf.mindmap.padding; - break; - case nodeType.RECT: - node.padding = 2 * conf.mindmap.padding; - break; - case nodeType.HEXAGON: - node.padding = 2 * conf.mindmap.padding; - break; - default: - node.padding = conf.mindmap.padding; - } - const parent = getParent(level); - if (parent) { - parent.children.push(node); - nodes.push(node); - } else { - if (nodes.length === 0) { - nodes.push(node); - } else { - let error = new Error( - 'There can be only one root. No parent could be found for ("' + node.descr + '")' - ); - error.hash = { - text: "branch " + name, - token: "branch " + name, - line: "1", - loc: { first_line: 1, last_line: 1, first_column: 1, last_column: 1 }, - expected: ['"checkout ' + name + '"'] - }; - throw error; - } - } -}; -const nodeType = { - DEFAULT: 0, - NO_BORDER: 0, - ROUNDED_RECT: 1, - RECT: 2, - CIRCLE: 3, - CLOUD: 4, - BANG: 5, - HEXAGON: 6 -}; -const getType = (startStr, endStr) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("In get type", startStr, endStr); - switch (startStr) { - case "[": - return nodeType.RECT; - case "(": - return endStr === ")" ? nodeType.ROUNDED_RECT : nodeType.CLOUD; - case "((": - return nodeType.CIRCLE; - case ")": - return nodeType.CLOUD; - case "))": - return nodeType.BANG; - case "{{": - return nodeType.HEXAGON; - default: - return nodeType.DEFAULT; - } -}; -const setElementForId = (id, element) => { - elements[id] = element; -}; -const decorateNode = (decoration) => { - const node = nodes[nodes.length - 1]; - if (decoration && decoration.icon) { - node.icon = sanitizeText(decoration.icon); - } - if (decoration && decoration.class) { - node.class = sanitizeText(decoration.class); - } -}; -const type2Str = (type) => { - switch (type) { - case nodeType.DEFAULT: - return "no-border"; - case nodeType.RECT: - return "rect"; - case nodeType.ROUNDED_RECT: - return "rounded-rect"; - case nodeType.CIRCLE: - return "circle"; - case nodeType.CLOUD: - return "cloud"; - case nodeType.BANG: - return "bang"; - case nodeType.HEXAGON: - return "hexgon"; - default: - return "no-border"; - } -}; -let parseError; -const setErrorHandler = (handler) => { - parseError = handler; -}; -const getLogger = () => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l; -const getNodeById = (id) => nodes[id]; -const getElementById = (id) => elements[id]; -const mindmapDb = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ - __proto__: null, - addNode, - clear, - decorateNode, - getElementById, - getLogger, - getMindmap, - getNodeById, - getType, - nodeType, - get parseError() { - return parseError; - }, - sanitizeText, - setElementForId, - setErrorHandler, - type2Str -}, Symbol.toStringTag, { value: "Module" })); -const MAX_SECTIONS = 12; -const defaultBkg = function(elem, node, section) { - const rd = 5; - elem.append("path").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + type2Str(node.type)).attr( - "d", - `M0 ${node.height - rd} v${-node.height + 2 * rd} q0,-5 5,-5 h${node.width - 2 * rd} q5,0 5,5 v${node.height - rd} H0 Z` - ); - elem.append("line").attr("class", "node-line-" + section).attr("x1", 0).attr("y1", node.height).attr("x2", node.width).attr("y2", node.height); -}; -const rectBkg = function(elem, node) { - elem.append("rect").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + type2Str(node.type)).attr("height", node.height).attr("width", node.width); -}; -const cloudBkg = function(elem, node) { - const w = node.width; - const h = node.height; - const r1 = 0.15 * w; - const r2 = 0.25 * w; - const r3 = 0.35 * w; - const r4 = 0.2 * w; - elem.append("path").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + type2Str(node.type)).attr( - "d", - `M0 0 a${r1},${r1} 0 0,1 ${w * 0.25},${-1 * w * 0.1} - a${r3},${r3} 1 0,1 ${w * 0.4},${-1 * w * 0.1} - a${r2},${r2} 1 0,1 ${w * 0.35},${1 * w * 0.2} - - a${r1},${r1} 1 0,1 ${w * 0.15},${1 * h * 0.35} - a${r4},${r4} 1 0,1 ${-1 * w * 0.15},${1 * h * 0.65} - - a${r2},${r1} 1 0,1 ${-1 * w * 0.25},${w * 0.15} - a${r3},${r3} 1 0,1 ${-1 * w * 0.5},${0} - a${r1},${r1} 1 0,1 ${-1 * w * 0.25},${-1 * w * 0.15} - - a${r1},${r1} 1 0,1 ${-1 * w * 0.1},${-1 * h * 0.35} - a${r4},${r4} 1 0,1 ${w * 0.1},${-1 * h * 0.65} - - H0 V0 Z` - ); -}; -const bangBkg = function(elem, node) { - const w = node.width; - const h = node.height; - const r = 0.15 * w; - elem.append("path").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + type2Str(node.type)).attr( - "d", - `M0 0 a${r},${r} 1 0,0 ${w * 0.25},${-1 * h * 0.1} - a${r},${r} 1 0,0 ${w * 0.25},${0} - a${r},${r} 1 0,0 ${w * 0.25},${0} - a${r},${r} 1 0,0 ${w * 0.25},${1 * h * 0.1} - - a${r},${r} 1 0,0 ${w * 0.15},${1 * h * 0.33} - a${r * 0.8},${r * 0.8} 1 0,0 ${0},${1 * h * 0.34} - a${r},${r} 1 0,0 ${-1 * w * 0.15},${1 * h * 0.33} - - a${r},${r} 1 0,0 ${-1 * w * 0.25},${h * 0.15} - a${r},${r} 1 0,0 ${-1 * w * 0.25},${0} - a${r},${r} 1 0,0 ${-1 * w * 0.25},${0} - a${r},${r} 1 0,0 ${-1 * w * 0.25},${-1 * h * 0.15} - - a${r},${r} 1 0,0 ${-1 * w * 0.1},${-1 * h * 0.33} - a${r * 0.8},${r * 0.8} 1 0,0 ${0},${-1 * h * 0.34} - a${r},${r} 1 0,0 ${w * 0.1},${-1 * h * 0.33} - - H0 V0 Z` - ); -}; -const circleBkg = function(elem, node) { - elem.append("circle").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + type2Str(node.type)).attr("r", node.width / 2); -}; -function insertPolygonShape(parent, w, h, points, node) { - return parent.insert("polygon", ":first-child").attr( - "points", - points.map(function(d) { - return d.x + "," + d.y; - }).join(" ") - ).attr("transform", "translate(" + (node.width - w) / 2 + ", " + h + ")"); -} -const hexagonBkg = function(elem, node) { - const h = node.height; - const f = 4; - const m = h / f; - const w = node.width - node.padding + 2 * m; - const points = [ - { x: m, y: 0 }, - { x: w - m, y: 0 }, - { x: w, y: -h / 2 }, - { x: w - m, y: -h }, - { x: m, y: -h }, - { x: 0, y: -h / 2 } - ]; - insertPolygonShape(elem, w, h, points, node); -}; -const roundedRectBkg = function(elem, node) { - elem.append("rect").attr("id", "node-" + node.id).attr("class", "node-bkg node-" + type2Str(node.type)).attr("height", node.height).attr("rx", node.padding).attr("ry", node.padding).attr("width", node.width); -}; -const drawNode = function(elem, node, fullSection, conf) { - const htmlLabels = conf.htmlLabels; - const section = fullSection % (MAX_SECTIONS - 1); - const nodeElem = elem.append("g"); - node.section = section; - let sectionClass = "section-" + section; - if (section < 0) { - sectionClass += " section-root"; - } - nodeElem.attr("class", (node.class ? node.class + " " : "") + "mindmap-node " + sectionClass); - const bkgElem = nodeElem.append("g"); - const textElem = nodeElem.append("g"); - const description = node.descr.replace(/(<br\/*>)/g, "\n"); - (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_7__.a)(textElem, description, { - useHtmlLabels: htmlLabels, - width: node.width, - classes: "mindmap-node-label" - }); - if (!htmlLabels) { - textElem.attr("dy", "1em").attr("alignment-baseline", "middle").attr("dominant-baseline", "middle").attr("text-anchor", "middle"); - } - const bbox = textElem.node().getBBox(); - const fontSize = conf.fontSize.replace ? conf.fontSize.replace("px", "") : conf.fontSize; - node.height = bbox.height + fontSize * 1.1 * 0.5 + node.padding; - node.width = bbox.width + 2 * node.padding; - if (node.icon) { - if (node.type === nodeType.CIRCLE) { - node.height += 50; - node.width += 50; - const icon = nodeElem.append("foreignObject").attr("height", "50px").attr("width", node.width).attr("style", "text-align: center;"); - icon.append("div").attr("class", "icon-container").append("i").attr("class", "node-icon-" + section + " " + node.icon); - textElem.attr( - "transform", - "translate(" + node.width / 2 + ", " + (node.height / 2 - 1.5 * node.padding) + ")" - ); - } else { - node.width += 50; - const orgHeight = node.height; - node.height = Math.max(orgHeight, 60); - const heightDiff = Math.abs(node.height - orgHeight); - const icon = nodeElem.append("foreignObject").attr("width", "60px").attr("height", node.height).attr("style", "text-align: center;margin-top:" + heightDiff / 2 + "px;"); - icon.append("div").attr("class", "icon-container").append("i").attr("class", "node-icon-" + section + " " + node.icon); - textElem.attr( - "transform", - "translate(" + (25 + node.width / 2) + ", " + (heightDiff / 2 + node.padding / 2) + ")" - ); - } - } else { - if (!htmlLabels) { - const dx = node.width / 2; - const dy = node.padding / 2; - textElem.attr("transform", "translate(" + dx + ", " + dy + ")"); - } else { - const dx = (node.width - bbox.width) / 2; - const dy = (node.height - bbox.height) / 2; - textElem.attr("transform", "translate(" + dx + ", " + dy + ")"); - } - } - switch (node.type) { - case nodeType.DEFAULT: - defaultBkg(bkgElem, node, section); - break; - case nodeType.ROUNDED_RECT: - roundedRectBkg(bkgElem, node); - break; - case nodeType.RECT: - rectBkg(bkgElem, node); - break; - case nodeType.CIRCLE: - bkgElem.attr("transform", "translate(" + node.width / 2 + ", " + +node.height / 2 + ")"); - circleBkg(bkgElem, node); - break; - case nodeType.CLOUD: - cloudBkg(bkgElem, node); - break; - case nodeType.BANG: - bangBkg(bkgElem, node); - break; - case nodeType.HEXAGON: - hexagonBkg(bkgElem, node); - break; - } - setElementForId(node.id, nodeElem); - return node.height; -}; -const drawEdge = function drawEdge2(edgesElem, mindmap, parent, depth, fullSection) { - const section = fullSection % (MAX_SECTIONS - 1); - const sx = parent.x + parent.width / 2; - const sy = parent.y + parent.height / 2; - const ex = mindmap.x + mindmap.width / 2; - const ey = mindmap.y + mindmap.height / 2; - const mx = ex > sx ? sx + Math.abs(sx - ex) / 2 : sx - Math.abs(sx - ex) / 2; - const my = ey > sy ? sy + Math.abs(sy - ey) / 2 : sy - Math.abs(sy - ey) / 2; - const qx = ex > sx ? Math.abs(sx - mx) / 2 + sx : -Math.abs(sx - mx) / 2 + sx; - const qy = ey > sy ? Math.abs(sy - my) / 2 + sy : -Math.abs(sy - my) / 2 + sy; - edgesElem.append("path").attr( - "d", - parent.direction === "TB" || parent.direction === "BT" ? `M${sx},${sy} Q${sx},${qy} ${mx},${my} T${ex},${ey}` : `M${sx},${sy} Q${qx},${sy} ${mx},${my} T${ex},${ey}` - ).attr("class", "edge section-edge-" + section + " edge-depth-" + depth); -}; -const positionNode = function(node) { - const nodeElem = getElementById(node.id); - const x = node.x || 0; - const y = node.y || 0; - nodeElem.attr("transform", "translate(" + x + "," + y + ")"); -}; -const svgDraw = { drawNode, positionNode, drawEdge }; -cytoscape_dist_cytoscape_umd_js__WEBPACK_IMPORTED_MODULE_1__.use(cytoscape_cose_bilkent__WEBPACK_IMPORTED_MODULE_2__); -function drawNodes(svg, mindmap, section, conf) { - svgDraw.drawNode(svg, mindmap, section, conf); - if (mindmap.children) { - mindmap.children.forEach((child, index) => { - drawNodes(svg, child, section < 0 ? index : section, conf); - }); - } -} -function drawEdges(edgesEl, cy) { - cy.edges().map((edge, id) => { - const data = edge.data(); - if (edge[0]._private.bodyBounds) { - const bounds = edge[0]._private.rscratch; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.trace("Edge: ", id, data); - edgesEl.insert("path").attr( - "d", - `M ${bounds.startX},${bounds.startY} L ${bounds.midX},${bounds.midY} L${bounds.endX},${bounds.endY} ` - ).attr("class", "edge section-edge-" + data.section + " edge-depth-" + data.depth); - } - }); -} -function addNodes(mindmap, cy, conf, level) { - cy.add({ - group: "nodes", - data: { - id: mindmap.id, - labelText: mindmap.descr, - height: mindmap.height, - width: mindmap.width, - level, - nodeId: mindmap.id, - padding: mindmap.padding, - type: mindmap.type - }, - position: { - x: mindmap.x, - y: mindmap.y - } - }); - if (mindmap.children) { - mindmap.children.forEach((child) => { - addNodes(child, cy, conf, level + 1); - cy.add({ - group: "edges", - data: { - id: `${mindmap.id}_${child.id}`, - source: mindmap.id, - target: child.id, - depth: level, - section: child.section - } - }); - }); - } -} -function layoutMindmap(node, conf) { - return new Promise((resolve) => { - const renderEl = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body").append("div").attr("id", "cy").attr("style", "display:none"); - const cy = cytoscape_dist_cytoscape_umd_js__WEBPACK_IMPORTED_MODULE_1__({ - container: document.getElementById("cy"), - // container to render in - style: [ - { - selector: "edge", - style: { - "curve-style": "bezier" - } - } - ] - }); - renderEl.remove(); - addNodes(node, cy, conf, 0); - cy.nodes().forEach(function(n) { - n.layoutDimensions = () => { - const data = n.data(); - return { w: data.width, h: data.height }; - }; - }); - cy.layout({ - name: "cose-bilkent", - quality: "proof", - // headless: true, - styleEnabled: false, - animate: false - }).run(); - cy.ready((e) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Ready", e); - resolve(cy); - }); - }); -} -function positionNodes(cy) { - cy.nodes().map((node, id) => { - const data = node.data(); - data.x = node.position().x; - data.y = node.position().y; - svgDraw.positionNode(data); - const el = getElementById(data.nodeId); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Id:", id, "Position: (", node.position().x, ", ", node.position().y, ")", data); - el.attr( - "transform", - `translate(${node.position().x - data.width / 2}, ${node.position().y - data.height / 2})` - ); - el.attr("attr", `apa-${id})`); - }); -} -const draw = async (text, id, version, diagObj) => { - const conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)(); - conf.htmlLabels = false; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Rendering mindmap diagram\n" + text, diagObj.parser); - const securityLevel = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().securityLevel; - let sandboxElement; - if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); - } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); - const svg = root.select("#" + id); - svg.append("g"); - const mm = diagObj.db.getMindmap(); - const edgesElem = svg.append("g"); - edgesElem.attr("class", "mindmap-edges"); - const nodesElem = svg.append("g"); - nodesElem.attr("class", "mindmap-nodes"); - drawNodes(nodesElem, mm, -1, conf); - const cy = await layoutMindmap(mm, conf); - drawEdges(edgesElem, cy); - positionNodes(cy); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.o)(void 0, svg, conf.mindmap.padding, conf.mindmap.useMaxWidth); -}; -const mindmapRenderer = { - draw -}; -const genSections = (options) => { - let sections = ""; - for (let i = 0; i < options.THEME_COLOR_LIMIT; i++) { - options["lineColor" + i] = options["lineColor" + i] || options["cScaleInv" + i]; - if ((0,khroma__WEBPACK_IMPORTED_MODULE_8__/* ["default"] */ .Z)(options["lineColor" + i])) { - options["lineColor" + i] = (0,khroma__WEBPACK_IMPORTED_MODULE_9__/* ["default"] */ .Z)(options["lineColor" + i], 20); - } else { - options["lineColor" + i] = (0,khroma__WEBPACK_IMPORTED_MODULE_10__/* ["default"] */ .Z)(options["lineColor" + i], 20); - } - } - for (let i = 0; i < options.THEME_COLOR_LIMIT; i++) { - const sw = "" + (17 - 3 * i); - sections += ` - .section-${i - 1} rect, .section-${i - 1} path, .section-${i - 1} circle, .section-${i - 1} polygon, .section-${i - 1} path { - fill: ${options["cScale" + i]}; - } - .section-${i - 1} text { - fill: ${options["cScaleLabel" + i]}; - } - .node-icon-${i - 1} { - font-size: 40px; - color: ${options["cScaleLabel" + i]}; - } - .section-edge-${i - 1}{ - stroke: ${options["cScale" + i]}; - } - .edge-depth-${i - 1}{ - stroke-width: ${sw}; - } - .section-${i - 1} line { - stroke: ${options["cScaleInv" + i]} ; - stroke-width: 3; - } - - .disabled, .disabled circle, .disabled text { - fill: lightgray; - } - .disabled text { - fill: #efefef; - } - `; - } - return sections; -}; -const getStyles = (options) => ` - .edge { - stroke-width: 3; - } - ${genSections(options)} - .section-root rect, .section-root path, .section-root circle, .section-root polygon { - fill: ${options.git0}; - } - .section-root text { - fill: ${options.gitBranchLabel0}; - } - .icon-container { - height:100%; - display: flex; - justify-content: center; - align-items: center; - } - .edge { - fill: none; - } - .mindmap-node-label { - dy: 1em; - alignment-baseline: middle; - text-anchor: middle; - dominant-baseline: middle; - text-align: center; - } -`; -const mindmapStyles = getStyles; -const diagram = { - db: mindmapDb, - renderer: mindmapRenderer, - parser: mindmapParser, - styles: mindmapStyles -}; - - - -/***/ }) - -}; -; \ No newline at end of file diff --git a/assets/js/339.c4dd3e0e.js b/assets/js/339.c4dd3e0e.js deleted file mode 100644 index d131ee761..000000000 --- a/assets/js/339.c4dd3e0e.js +++ /dev/null @@ -1,2 +0,0 @@ -/*! For license information please see 339.c4dd3e0e.js.LICENSE.txt */ -(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[339],{84182:function(e,t,n){var r;r=function(e){return function(e){var t={};function n(r){if(t[r])return t[r].exports;var i=t[r]={i:r,l:!1,exports:{}};return e[r].call(i.exports,i,i.exports,n),i.l=!0,i.exports}return n.m=e,n.c=t,n.i=function(e){return e},n.d=function(e,t,r){n.o(e,t)||Object.defineProperty(e,t,{configurable:!1,enumerable:!0,get:r})},n.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return n.d(t,"a",t),t},n.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},n.p="",n(n.s=7)}([function(t,n){t.exports=e},function(e,t,n){"use strict";var r=n(0).FDLayoutConstants;function i(){}for(var a in r)i[a]=r[a];i.DEFAULT_USE_MULTI_LEVEL_SCALING=!1,i.DEFAULT_RADIAL_SEPARATION=r.DEFAULT_EDGE_LENGTH,i.DEFAULT_COMPONENT_SEPERATION=60,i.TILE=!0,i.TILING_PADDING_VERTICAL=10,i.TILING_PADDING_HORIZONTAL=10,i.TREE_REDUCTION_ON_INCREMENTAL=!1,e.exports=i},function(e,t,n){"use strict";var r=n(0).FDLayoutEdge;function i(e,t,n){r.call(this,e,t,n)}for(var a in i.prototype=Object.create(r.prototype),r)i[a]=r[a];e.exports=i},function(e,t,n){"use strict";var r=n(0).LGraph;function i(e,t,n){r.call(this,e,t,n)}for(var a in i.prototype=Object.create(r.prototype),r)i[a]=r[a];e.exports=i},function(e,t,n){"use strict";var r=n(0).LGraphManager;function i(e){r.call(this,e)}for(var a in i.prototype=Object.create(r.prototype),r)i[a]=r[a];e.exports=i},function(e,t,n){"use strict";var r=n(0).FDLayoutNode,i=n(0).IMath;function a(e,t,n,i){r.call(this,e,t,n,i)}for(var o in a.prototype=Object.create(r.prototype),r)a[o]=r[o];a.prototype.move=function(){var e=this.graphManager.getLayout();this.displacementX=e.coolingFactor*(this.springForceX+this.repulsionForceX+this.gravitationForceX)/this.noOfChildren,this.displacementY=e.coolingFactor*(this.springForceY+this.repulsionForceY+this.gravitationForceY)/this.noOfChildren,Math.abs(this.displacementX)>e.coolingFactor*e.maxNodeDisplacement&&(this.displacementX=e.coolingFactor*e.maxNodeDisplacement*i.sign(this.displacementX)),Math.abs(this.displacementY)>e.coolingFactor*e.maxNodeDisplacement&&(this.displacementY=e.coolingFactor*e.maxNodeDisplacement*i.sign(this.displacementY)),null==this.child||0==this.child.getNodes().length?this.moveBy(this.displacementX,this.displacementY):this.propogateDisplacementToChildren(this.displacementX,this.displacementY),e.totalDisplacement+=Math.abs(this.displacementX)+Math.abs(this.displacementY),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0},a.prototype.propogateDisplacementToChildren=function(e,t){for(var n,r=this.getChild().getNodes(),i=0;i<r.length;i++)null==(n=r[i]).getChild()?(n.moveBy(e,t),n.displacementX+=e,n.displacementY+=t):n.propogateDisplacementToChildren(e,t)},a.prototype.setPred1=function(e){this.pred1=e},a.prototype.getPred1=function(){return pred1},a.prototype.getPred2=function(){return pred2},a.prototype.setNext=function(e){this.next=e},a.prototype.getNext=function(){return next},a.prototype.setProcessed=function(e){this.processed=e},a.prototype.isProcessed=function(){return processed},e.exports=a},function(e,t,n){"use strict";var r=n(0).FDLayout,i=n(4),a=n(3),o=n(5),s=n(2),l=n(1),u=n(0).FDLayoutConstants,c=n(0).LayoutConstants,h=n(0).Point,d=n(0).PointD,p=n(0).Layout,g=n(0).Integer,f=n(0).IGeometry,v=n(0).LGraph,y=n(0).Transform;function m(){r.call(this),this.toBeTiled={}}for(var b in m.prototype=Object.create(r.prototype),r)m[b]=r[b];m.prototype.newGraphManager=function(){var e=new i(this);return this.graphManager=e,e},m.prototype.newGraph=function(e){return new a(null,this.graphManager,e)},m.prototype.newNode=function(e){return new o(this.graphManager,e)},m.prototype.newEdge=function(e){return new s(null,null,e)},m.prototype.initParameters=function(){r.prototype.initParameters.call(this,arguments),this.isSubLayout||(l.DEFAULT_EDGE_LENGTH<10?this.idealEdgeLength=10:this.idealEdgeLength=l.DEFAULT_EDGE_LENGTH,this.useSmartIdealEdgeLengthCalculation=l.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION,this.springConstant=u.DEFAULT_SPRING_STRENGTH,this.repulsionConstant=u.DEFAULT_REPULSION_STRENGTH,this.gravityConstant=u.DEFAULT_GRAVITY_STRENGTH,this.compoundGravityConstant=u.DEFAULT_COMPOUND_GRAVITY_STRENGTH,this.gravityRangeFactor=u.DEFAULT_GRAVITY_RANGE_FACTOR,this.compoundGravityRangeFactor=u.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR,this.prunedNodesAll=[],this.growTreeIterations=0,this.afterGrowthIterations=0,this.isTreeGrowing=!1,this.isGrowthFinished=!1,this.coolingCycle=0,this.maxCoolingCycle=this.maxIterations/u.CONVERGENCE_CHECK_PERIOD,this.finalTemperature=u.CONVERGENCE_CHECK_PERIOD/this.maxIterations,this.coolingAdjuster=1)},m.prototype.layout=function(){return c.DEFAULT_CREATE_BENDS_AS_NEEDED&&(this.createBendpoints(),this.graphManager.resetAllEdges()),this.level=0,this.classicLayout()},m.prototype.classicLayout=function(){if(this.nodesWithGravity=this.calculateNodesToApplyGravitationTo(),this.graphManager.setAllNodesToApplyGravitation(this.nodesWithGravity),this.calcNoOfChildrenForAllNodes(),this.graphManager.calcLowestCommonAncestors(),this.graphManager.calcInclusionTreeDepths(),this.graphManager.getRoot().calcEstimatedSize(),this.calcIdealEdgeLengths(),this.incremental)l.TREE_REDUCTION_ON_INCREMENTAL&&(this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation(),t=new Set(this.getAllNodes()),n=this.nodesWithGravity.filter((function(e){return t.has(e)})),this.graphManager.setAllNodesToApplyGravitation(n));else{var e=this.getFlatForest();if(e.length>0)this.positionNodesRadially(e);else{this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var t=new Set(this.getAllNodes()),n=this.nodesWithGravity.filter((function(e){return t.has(e)}));this.graphManager.setAllNodesToApplyGravitation(n),this.positionNodesRandomly()}}return this.initSpringEmbedder(),this.runSpringEmbedder(),!0},m.prototype.tick=function(){if(this.totalIterations++,this.totalIterations===this.maxIterations&&!this.isTreeGrowing&&!this.isGrowthFinished){if(!(this.prunedNodesAll.length>0))return!0;this.isTreeGrowing=!0}if(this.totalIterations%u.CONVERGENCE_CHECK_PERIOD==0&&!this.isTreeGrowing&&!this.isGrowthFinished){if(this.isConverged()){if(!(this.prunedNodesAll.length>0))return!0;this.isTreeGrowing=!0}this.coolingCycle++,0==this.layoutQuality?this.coolingAdjuster=this.coolingCycle:1==this.layoutQuality&&(this.coolingAdjuster=this.coolingCycle/3),this.coolingFactor=Math.max(this.initialCoolingFactor-Math.pow(this.coolingCycle,Math.log(100*(this.initialCoolingFactor-this.finalTemperature))/Math.log(this.maxCoolingCycle))/100*this.coolingAdjuster,this.finalTemperature),this.animationPeriod=Math.ceil(this.initialAnimationPeriod*Math.sqrt(this.coolingFactor))}if(this.isTreeGrowing){if(this.growTreeIterations%10==0)if(this.prunedNodesAll.length>0){this.graphManager.updateBounds(),this.updateGrid(),this.growTree(this.prunedNodesAll),this.graphManager.resetAllNodesToApplyGravitation();var e=new Set(this.getAllNodes()),t=this.nodesWithGravity.filter((function(t){return e.has(t)}));this.graphManager.setAllNodesToApplyGravitation(t),this.graphManager.updateBounds(),this.updateGrid(),this.coolingFactor=u.DEFAULT_COOLING_FACTOR_INCREMENTAL}else this.isTreeGrowing=!1,this.isGrowthFinished=!0;this.growTreeIterations++}if(this.isGrowthFinished){if(this.isConverged())return!0;this.afterGrowthIterations%10==0&&(this.graphManager.updateBounds(),this.updateGrid()),this.coolingFactor=u.DEFAULT_COOLING_FACTOR_INCREMENTAL*((100-this.afterGrowthIterations)/100),this.afterGrowthIterations++}var n=!this.isTreeGrowing&&!this.isGrowthFinished,r=this.growTreeIterations%10==1&&this.isTreeGrowing||this.afterGrowthIterations%10==1&&this.isGrowthFinished;return this.totalDisplacement=0,this.graphManager.updateBounds(),this.calcSpringForces(),this.calcRepulsionForces(n,r),this.calcGravitationalForces(),this.moveNodes(),this.animate(),!1},m.prototype.getPositionsData=function(){for(var e=this.graphManager.getAllNodes(),t={},n=0;n<e.length;n++){var r=e[n].rect,i=e[n].id;t[i]={id:i,x:r.getCenterX(),y:r.getCenterY(),w:r.width,h:r.height}}return t},m.prototype.runSpringEmbedder=function(){this.initialAnimationPeriod=25,this.animationPeriod=this.initialAnimationPeriod;var e=!1;if("during"===u.ANIMATE)this.emit("layoutstarted");else{for(;!e;)e=this.tick();this.graphManager.updateBounds()}},m.prototype.calculateNodesToApplyGravitationTo=function(){var e,t,n=[],r=this.graphManager.getGraphs(),i=r.length;for(t=0;t<i;t++)(e=r[t]).updateConnected(),e.isConnected||(n=n.concat(e.getNodes()));return n},m.prototype.createBendpoints=function(){var e=[];e=e.concat(this.graphManager.getAllEdges());var t,n=new Set;for(t=0;t<e.length;t++){var r=e[t];if(!n.has(r)){var i=r.getSource(),a=r.getTarget();if(i==a)r.getBendpoints().push(new d),r.getBendpoints().push(new d),this.createDummyNodesForBendpoints(r),n.add(r);else{var o=[];if(o=(o=o.concat(i.getEdgeListToNode(a))).concat(a.getEdgeListToNode(i)),!n.has(o[0])){var s;if(o.length>1)for(s=0;s<o.length;s++){var l=o[s];l.getBendpoints().push(new d),this.createDummyNodesForBendpoints(l)}o.forEach((function(e){n.add(e)}))}}}if(n.size==e.length)break}},m.prototype.positionNodesRadially=function(e){for(var t=new h(0,0),n=Math.ceil(Math.sqrt(e.length)),r=0,i=0,a=0,o=new d(0,0),s=0;s<e.length;s++){s%n==0&&(a=0,i=r,0!=s&&(i+=l.DEFAULT_COMPONENT_SEPERATION),r=0);var u=e[s],g=p.findCenterOfTree(u);t.x=a,t.y=i,(o=m.radialLayout(u,g,t)).y>r&&(r=Math.floor(o.y)),a=Math.floor(o.x+l.DEFAULT_COMPONENT_SEPERATION)}this.transform(new d(c.WORLD_CENTER_X-o.x/2,c.WORLD_CENTER_Y-o.y/2))},m.radialLayout=function(e,t,n){var r=Math.max(this.maxDiagonalInTree(e),l.DEFAULT_RADIAL_SEPARATION);m.branchRadialLayout(t,null,0,359,0,r);var i=v.calculateBounds(e),a=new y;a.setDeviceOrgX(i.getMinX()),a.setDeviceOrgY(i.getMinY()),a.setWorldOrgX(n.x),a.setWorldOrgY(n.y);for(var o=0;o<e.length;o++)e[o].transform(a);var s=new d(i.getMaxX(),i.getMaxY());return a.inverseTransformPoint(s)},m.branchRadialLayout=function(e,t,n,r,i,a){var o=(r-n+1)/2;o<0&&(o+=180);var s=(o+n)%360*f.TWO_PI/360,l=(Math.cos(s),i*Math.cos(s)),u=i*Math.sin(s);e.setCenter(l,u);var c=[],h=(c=c.concat(e.getEdges())).length;null!=t&&h--;for(var d,p=0,g=c.length,v=e.getEdgesBetween(t);v.length>1;){var y=v[0];v.splice(0,1);var b=c.indexOf(y);b>=0&&c.splice(b,1),g--,h--}d=null!=t?(c.indexOf(v[0])+1)%g:0;for(var x=Math.abs(r-n)/h,w=d;p!=h;w=++w%g){var E=c[w].getOtherEnd(e);if(E!=t){var T=(n+p*x)%360,_=(T+x)%360;m.branchRadialLayout(E,e,T,_,i+a,a),p++}}},m.maxDiagonalInTree=function(e){for(var t=g.MIN_VALUE,n=0;n<e.length;n++){var r=e[n].getDiagonal();r>t&&(t=r)}return t},m.prototype.calcRepulsionRange=function(){return 2*(this.level+1)*this.idealEdgeLength},m.prototype.groupZeroDegreeMembers=function(){var e=this,t={};this.memberGroups={},this.idToDummyNode={};for(var n=[],r=this.graphManager.getAllNodes(),i=0;i<r.length;i++){var a=(s=r[i]).getParent();0!==this.getNodeDegreeWithChildren(s)||null!=a.id&&this.getToBeTiled(a)||n.push(s)}for(i=0;i<n.length;i++){var s,l=(s=n[i]).getParent().id;void 0===t[l]&&(t[l]=[]),t[l]=t[l].concat(s)}Object.keys(t).forEach((function(n){if(t[n].length>1){var r="DummyCompound_"+n;e.memberGroups[r]=t[n];var i=t[n][0].getParent(),a=new o(e.graphManager);a.id=r,a.paddingLeft=i.paddingLeft||0,a.paddingRight=i.paddingRight||0,a.paddingBottom=i.paddingBottom||0,a.paddingTop=i.paddingTop||0,e.idToDummyNode[r]=a;var s=e.getGraphManager().add(e.newGraph(),a),l=i.getChild();l.add(a);for(var u=0;u<t[n].length;u++){var c=t[n][u];l.remove(c),s.add(c)}}}))},m.prototype.clearCompounds=function(){var e={},t={};this.performDFSOnCompounds();for(var n=0;n<this.compoundOrder.length;n++)t[this.compoundOrder[n].id]=this.compoundOrder[n],e[this.compoundOrder[n].id]=[].concat(this.compoundOrder[n].getChild().getNodes()),this.graphManager.remove(this.compoundOrder[n].getChild()),this.compoundOrder[n].child=null;this.graphManager.resetAllNodes(),this.tileCompoundMembers(e,t)},m.prototype.clearZeroDegreeMembers=function(){var e=this,t=this.tiledZeroDegreePack=[];Object.keys(this.memberGroups).forEach((function(n){var r=e.idToDummyNode[n];t[n]=e.tileNodes(e.memberGroups[n],r.paddingLeft+r.paddingRight),r.rect.width=t[n].width,r.rect.height=t[n].height}))},m.prototype.repopulateCompounds=function(){for(var e=this.compoundOrder.length-1;e>=0;e--){var t=this.compoundOrder[e],n=t.id,r=t.paddingLeft,i=t.paddingTop;this.adjustLocations(this.tiledMemberPack[n],t.rect.x,t.rect.y,r,i)}},m.prototype.repopulateZeroDegreeMembers=function(){var e=this,t=this.tiledZeroDegreePack;Object.keys(t).forEach((function(n){var r=e.idToDummyNode[n],i=r.paddingLeft,a=r.paddingTop;e.adjustLocations(t[n],r.rect.x,r.rect.y,i,a)}))},m.prototype.getToBeTiled=function(e){var t=e.id;if(null!=this.toBeTiled[t])return this.toBeTiled[t];var n=e.getChild();if(null==n)return this.toBeTiled[t]=!1,!1;for(var r=n.getNodes(),i=0;i<r.length;i++){var a=r[i];if(this.getNodeDegree(a)>0)return this.toBeTiled[t]=!1,!1;if(null!=a.getChild()){if(!this.getToBeTiled(a))return this.toBeTiled[t]=!1,!1}else this.toBeTiled[a.id]=!1}return this.toBeTiled[t]=!0,!0},m.prototype.getNodeDegree=function(e){e.id;for(var t=e.getEdges(),n=0,r=0;r<t.length;r++){var i=t[r];i.getSource().id!==i.getTarget().id&&(n+=1)}return n},m.prototype.getNodeDegreeWithChildren=function(e){var t=this.getNodeDegree(e);if(null==e.getChild())return t;for(var n=e.getChild().getNodes(),r=0;r<n.length;r++){var i=n[r];t+=this.getNodeDegreeWithChildren(i)}return t},m.prototype.performDFSOnCompounds=function(){this.compoundOrder=[],this.fillCompexOrderByDFS(this.graphManager.getRoot().getNodes())},m.prototype.fillCompexOrderByDFS=function(e){for(var t=0;t<e.length;t++){var n=e[t];null!=n.getChild()&&this.fillCompexOrderByDFS(n.getChild().getNodes()),this.getToBeTiled(n)&&this.compoundOrder.push(n)}},m.prototype.adjustLocations=function(e,t,n,r,i){n+=i;for(var a=t+=r,o=0;o<e.rows.length;o++){var s=e.rows[o];t=a;for(var l=0,u=0;u<s.length;u++){var c=s[u];c.rect.x=t,c.rect.y=n,t+=c.rect.width+e.horizontalPadding,c.rect.height>l&&(l=c.rect.height)}n+=l+e.verticalPadding}},m.prototype.tileCompoundMembers=function(e,t){var n=this;this.tiledMemberPack=[],Object.keys(e).forEach((function(r){var i=t[r];n.tiledMemberPack[r]=n.tileNodes(e[r],i.paddingLeft+i.paddingRight),i.rect.width=n.tiledMemberPack[r].width,i.rect.height=n.tiledMemberPack[r].height}))},m.prototype.tileNodes=function(e,t){var n={rows:[],rowWidth:[],rowHeight:[],width:0,height:t,verticalPadding:l.TILING_PADDING_VERTICAL,horizontalPadding:l.TILING_PADDING_HORIZONTAL};e.sort((function(e,t){return e.rect.width*e.rect.height>t.rect.width*t.rect.height?-1:e.rect.width*e.rect.height<t.rect.width*t.rect.height?1:0}));for(var r=0;r<e.length;r++){var i=e[r];0==n.rows.length?this.insertNodeToRow(n,i,0,t):this.canAddHorizontal(n,i.rect.width,i.rect.height)?this.insertNodeToRow(n,i,this.getShortestRowIndex(n),t):this.insertNodeToRow(n,i,n.rows.length,t),this.shiftToLastRow(n)}return n},m.prototype.insertNodeToRow=function(e,t,n,r){var i=r;n==e.rows.length&&(e.rows.push([]),e.rowWidth.push(i),e.rowHeight.push(0));var a=e.rowWidth[n]+t.rect.width;e.rows[n].length>0&&(a+=e.horizontalPadding),e.rowWidth[n]=a,e.width<a&&(e.width=a);var o=t.rect.height;n>0&&(o+=e.verticalPadding);var s=0;o>e.rowHeight[n]&&(s=e.rowHeight[n],e.rowHeight[n]=o,s=e.rowHeight[n]-s),e.height+=s,e.rows[n].push(t)},m.prototype.getShortestRowIndex=function(e){for(var t=-1,n=Number.MAX_VALUE,r=0;r<e.rows.length;r++)e.rowWidth[r]<n&&(t=r,n=e.rowWidth[r]);return t},m.prototype.getLongestRowIndex=function(e){for(var t=-1,n=Number.MIN_VALUE,r=0;r<e.rows.length;r++)e.rowWidth[r]>n&&(t=r,n=e.rowWidth[r]);return t},m.prototype.canAddHorizontal=function(e,t,n){var r=this.getShortestRowIndex(e);if(r<0)return!0;var i=e.rowWidth[r];if(i+e.horizontalPadding+t<=e.width)return!0;var a,o,s=0;return e.rowHeight[r]<n&&r>0&&(s=n+e.verticalPadding-e.rowHeight[r]),a=e.width-i>=t+e.horizontalPadding?(e.height+s)/(i+t+e.horizontalPadding):(e.height+s)/e.width,s=n+e.verticalPadding,(o=e.width<t?(e.height+s)/t:(e.height+s)/e.width)<1&&(o=1/o),a<1&&(a=1/a),a<o},m.prototype.shiftToLastRow=function(e){var t=this.getLongestRowIndex(e),n=e.rowWidth.length-1,r=e.rows[t],i=r[r.length-1],a=i.width+e.horizontalPadding;if(e.width-e.rowWidth[n]>a&&t!=n){r.splice(-1,1),e.rows[n].push(i),e.rowWidth[t]=e.rowWidth[t]-a,e.rowWidth[n]=e.rowWidth[n]+a,e.width=e.rowWidth[instance.getLongestRowIndex(e)];for(var o=Number.MIN_VALUE,s=0;s<r.length;s++)r[s].height>o&&(o=r[s].height);t>0&&(o+=e.verticalPadding);var l=e.rowHeight[t]+e.rowHeight[n];e.rowHeight[t]=o,e.rowHeight[n]<i.height+e.verticalPadding&&(e.rowHeight[n]=i.height+e.verticalPadding);var u=e.rowHeight[t]+e.rowHeight[n];e.height+=u-l,this.shiftToLastRow(e)}},m.prototype.tilingPreLayout=function(){l.TILE&&(this.groupZeroDegreeMembers(),this.clearCompounds(),this.clearZeroDegreeMembers())},m.prototype.tilingPostLayout=function(){l.TILE&&(this.repopulateZeroDegreeMembers(),this.repopulateCompounds())},m.prototype.reduceTrees=function(){for(var e,t=[],n=!0;n;){var r=this.graphManager.getAllNodes(),i=[];n=!1;for(var 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t=a.collection(e).id();return c.get(t)},betweennessNormalized:function(e){if(0==u)return 0;var t=a.collection(e).id();return c.get(t)/u}};return v.betweennessNormalised=v.betweennessNormalized,v}};Tr.bc=Tr.betweennessCentrality;var _r=Mt({expandFactor:2,inflateFactor:2,multFactor:1,maxIterations:20,attributes:[function(e){return 1}]}),Dr=function(e){return _r(e)},Cr=function(e,t){for(var n=0,r=0;r<t.length;r++)n+=t[r](e);return n},Nr=function(e,t,n){for(var r=0;r<t;r++)e[r*t+r]=n},Ar=function(e,t){for(var n,r=0;r<t;r++){n=0;for(var i=0;i<t;i++)n+=e[i*t+r];for(var a=0;a<t;a++)e[a*t+r]=e[a*t+r]/n}},Lr=function(e,t,n){for(var r=new Array(n*n),i=0;i<n;i++){for(var a=0;a<n;a++)r[i*n+a]=0;for(var o=0;o<n;o++)for(var s=0;s<n;s++)r[i*n+s]+=e[i*n+o]*t[o*n+s]}return r},Sr=function(e,t,n){for(var r=e.slice(0),i=1;i<n;i++)e=Lr(e,r,t);return e},Or=function(e,t,n){for(var r=new Array(t*t),i=0;i<t*t;i++)r[i]=Math.pow(e[i],n);return Ar(r,t),r},kr=function(e,t,n,r){for(var i=0;i<n;i++)if(Math.round(e[i]*Math.pow(10,r))/Math.pow(10,r)!=Math.round(t[i]*Math.pow(10,r))/Math.pow(10,r))return!1;return!0},Ir=function(e,t,n,r){for(var i=[],a=0;a<t;a++){for(var o=[],s=0;s<t;s++)Math.round(1e3*e[a*t+s])/1e3>0&&o.push(n[s]);0!==o.length&&i.push(r.collection(o))}return i},Mr=function(e,t){for(var n=0;n<e.length;n++)if(!t[n]||e[n].id()!==t[n].id())return!1;return!0},Pr=function(e){for(var t=0;t<e.length;t++)for(var n=0;n<e.length;n++)t!=n&&Mr(e[t],e[n])&&e.splice(n,1);return e},Rr=function(e){for(var t=this.nodes(),n=this.edges(),r=this.cy(),i=Dr(e),a={},o=0;o<t.length;o++)a[t[o].id()]=o;for(var s,l=t.length,u=l*l,c=new Array(u),h=0;h<u;h++)c[h]=0;for(var d=0;d<n.length;d++){var p=n[d],g=a[p.source().id()],f=a[p.target().id()],v=Cr(p,i.attributes);c[g*l+f]+=v,c[f*l+g]+=v}Nr(c,l,i.multFactor),Ar(c,l);for(var y=!0,m=0;y&&m<i.maxIterations;)y=!1,s=Sr(c,l,i.expandFactor),c=Or(s,l,i.inflateFactor),kr(c,s,u,4)||(y=!0),m++;var b=Ir(c,l,t,r);return 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qr(e)},$r=function(e,t,n,r,i){var a="kMedoids"!==i?function(e){return n[e]}:function(e){return r[e](n)},o=function(e){return r[e](t)},s=n,l=t;return Hr(e,r.length,a,o,s,l)},Kr=function(e,t,n){for(var r=n.length,i=new Array(r),a=new Array(r),o=new Array(t),s=null,l=0;l<r;l++)i[l]=e.min(n[l]).value,a[l]=e.max(n[l]).value;for(var u=0;u<t;u++){s=[];for(var c=0;c<r;c++)s[c]=Math.random()*(a[c]-i[c])+i[c];o[u]=s}return o},Zr=function(e,t,n,r,i){for(var a=1/0,o=0,s=0;s<t.length;s++){var l=$r(n,e,t[s],r,i);l<a&&(a=l,o=s)}return o},Qr=function(e,t,n){for(var r=[],i=null,a=0;a<t.length;a++)n[(i=t[a]).id()]===e&&r.push(i);return r},Jr=function(e,t,n){return Math.abs(t-e)<=n},ei=function(e,t,n){for(var r=0;r<e.length;r++)for(var i=0;i<e[r].length;i++)if(Math.abs(e[r][i]-t[r][i])>n)return!1;return!0},ti=function(e,t,n){for(var r=0;r<n;r++)if(e===t[r])return!0;return!1},ni=function(e,t){var n=new Array(t);if(e.length<50)for(var r=0;r<t;r++){for(var 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o.testCentroids?(o.testCentroids,n=Kr(i,o.k,o.attributes)):n="object"===e(o.testCentroids)?o.testCentroids:Kr(i,o.k,o.attributes):n=Kr(i,o.k,o.attributes);for(var u=!0,c=0;u&&c<o.maxIterations;){for(var h=0;h<i.length;h++)l[(a=i[h]).id()]=Zr(a,n,o.distance,o.attributes,"kMeans");u=!1;for(var d=0;d<o.k;d++){var p=Qr(d,i,l);if(0!==p.length){for(var g=o.attributes.length,f=n[d],v=new Array(g),y=new Array(g),m=0;m<g;m++){y[m]=0;for(var b=0;b<p.length;b++)a=p[b],y[m]+=o.attributes[m](a);v[m]=y[m]/p.length,Jr(v[m],f[m],o.sensitivityThreshold)||(u=!0)}n[d]=v,s[d]=r.collection(p)}}c++}return s},kMedoids:function(t){var n,r,i=this.cy(),a=this.nodes(),o=null,s=Wr(t),l=new Array(s.k),u={},c=new Array(s.k);s.testMode?"number"==typeof s.testCentroids||(n="object"===e(s.testCentroids)?s.testCentroids:ni(a,s.k)):n=ni(a,s.k);for(var h=!0,d=0;h&&d<s.maxIterations;){for(var p=0;p<a.length;p++)u[(o=a[p]).id()]=Zr(o,n,s.distance,s.attributes,"kMedoids");h=!1;for(var g=0;g<n.length;g++){var f=Qr(g,a,u);if(0!==f.length){c[g]=ri(n[g],f,s.attributes);for(var v=0;v<f.length;v++)(r=ri(f[v],f,s.attributes))<c[g]&&(c[g]=r,n[g]=f[v],h=!0);l[g]=i.collection(f)}}d++}return l},fuzzyCMeans:si,fcm:si},ui=Mt({distance:"euclidean",linkage:"min",mode:"threshold",threshold:1/0,addDendrogram:!1,dendrogramDepth:0,attributes:[]}),ci={single:"min",complete:"max"},hi=function(e){var t=ui(e),n=ci[t.linkage];return null!=n&&(t.linkage=n),t},di=function(e,t,n,r,i){for(var a,o=0,s=1/0,l=i.attributes,u=function(e,t){return Hr(i.distance,l.length,(function(t){return l[t](e)}),(function(e){return l[e](t)}),e,t)},c=0;c<e.length;c++){var h=e[c].key,d=n[h][r[h]];d<s&&(o=h,s=d)}if("threshold"===i.mode&&s>=i.threshold||"dendrogram"===i.mode&&1===e.length)return!1;var p,g=t[o],f=t[r[o]];p="dendrogram"===i.mode?{left:g,right:f,key:g.key}:{value:g.value.concat(f.value),key:g.key},e[g.index]=p,e.splice(f.index,1),t[g.key]=p;for(var v=0;v<e.length;v++){var 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t=hc(e),r=t.depth,i=t.index,a=y[r].length,o=Math.max(u.w/((n.grid?Z:a)+1),R),s=Math.max(u.h/(y.length+1),R),l=Math.min(u.w/2/y.length,u.h/2/y.length);if(l=Math.max(l,R),n.circle){var c=l*r+l-(y.length>0&&y[0].length<=3?l/2:0),h=2*Math.PI/y[r].length*i;return 0===r&&1===y[0].length&&(c=1),{x:$.x+c*Math.cos(h),y:$.y+c*Math.sin(h)}}return{x:$.x+(i+1-(a+1)/2)*o,y:(r+1)*s}};return i.nodes().layoutPositions(this,n,Q),this};var gc={fit:!0,padding:30,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,spacingFactor:void 0,radius:void 0,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,sort:void 0,animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(e,t){return!0},ready:void 0,stop:void 0,transform:function(e,t){return t}};function fc(e){this.options=Q({},gc,e)}fc.prototype.run=function(){var e=this.options,t=e,n=e.cy,r=t.eles,i=void 0!==t.counterclockwise?!t.counterclockwise:t.clockwise,a=r.nodes().not(":parent");t.sort&&(a=a.sort(t.sort));for(var o,s=Ln(t.boundingBox?t.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()}),l={x:s.x1+s.w/2,y:s.y1+s.h/2},u=(void 0===t.sweep?2*Math.PI-2*Math.PI/a.length:t.sweep)/Math.max(1,a.length-1),c=0,h=0;h<a.length;h++){var d=a[h].layoutDimensions(t),p=d.w,g=d.h;c=Math.max(c,p,g)}if(o=_(t.radius)?t.radius:a.length<=1?0:Math.min(s.h,s.w)/2-c,a.length>1&&t.avoidOverlap){c*=1.75;var f=Math.cos(u)-Math.cos(0),v=Math.sin(u)-Math.sin(0),y=Math.sqrt(c*c/(f*f+v*v));o=Math.max(y,o)}var m=function(e,n){var r=t.startAngle+n*u*(i?1:-1),a=o*Math.cos(r),s=o*Math.sin(r);return{x:l.x+a,y:l.y+s}};return r.nodes().layoutPositions(this,t,m),this};var vc,yc={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(e){return e.degree()},levelWidth:function(e){return e.maxDegree()/4},animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(e,t){return!0},ready:void 0,stop:void 0,transform:function(e,t){return t}};function mc(e){this.options=Q({},yc,e)}mc.prototype.run=function(){for(var e=this.options,t=e,n=void 0!==t.counterclockwise?!t.counterclockwise:t.clockwise,r=e.cy,i=t.eles,a=i.nodes().not(":parent"),o=Ln(t.boundingBox?t.boundingBox:{x1:0,y1:0,w:r.width(),h:r.height()}),s={x:o.x1+o.w/2,y:o.y1+o.h/2},l=[],u=0,c=0;c<a.length;c++){var h=a[c],d=void 0;d=t.concentric(h),l.push({value:d,node:h}),h._private.scratch.concentric=d}a.updateStyle();for(var p=0;p<a.length;p++){var g=a[p].layoutDimensions(t);u=Math.max(u,g.w,g.h)}l.sort((function(e,t){return t.value-e.value}));for(var f=t.levelWidth(a),v=[[]],y=v[0],m=0;m<l.length;m++){var b=l[m];y.length>0&&Math.abs(y[0].value-b.value)>=f&&(y=[],v.push(y)),y.push(b)}var x=u+t.minNodeSpacing;if(!t.avoidOverlap){var w=v.length>0&&v[0].length>1,E=(Math.min(o.w,o.h)/2-x)/(v.length+w?1:0);x=Math.min(x,E)}for(var T=0,_=0;_<v.length;_++){var D=v[_],C=void 0===t.sweep?2*Math.PI-2*Math.PI/D.length:t.sweep,N=D.dTheta=C/Math.max(1,D.length-1);if(D.length>1&&t.avoidOverlap){var A=Math.cos(N)-Math.cos(0),L=Math.sin(N)-Math.sin(0),S=Math.sqrt(x*x/(A*A+L*L));T=Math.max(S,T)}D.r=T,T+=x}if(t.equidistant){for(var O=0,k=0,I=0;I<v.length;I++){var M=v[I].r-k;O=Math.max(O,M)}k=0;for(var P=0;P<v.length;P++){var R=v[P];0===P&&(k=R.r),R.r=k,k+=O}}for(var B={},F=0;F<v.length;F++)for(var z=v[F],G=z.dTheta,Y=z.r,X=0;X<z.length;X++){var V=z[X],U=t.startAngle+(n?1:-1)*G*X,j={x:s.x+Y*Math.cos(U),y:s.y+Y*Math.sin(U)};B[V.node.id()]=j}return i.nodes().layoutPositions(this,t,(function(e){var t=e.id();return B[t]})),this};var bc={ready:function(){},stop:function(){},animate:!0,animationEasing:void 0,animationDuration:void 0,animateFilter:function(e,t){return!0},animationThreshold:250,refresh:20,fit:!0,padding:30,boundingBox:void 0,nodeDimensionsIncludeLabels:!1,randomize:!1,componentSpacing:40,nodeRepulsion:function(e){return 2048},nodeOverlap:4,idealEdgeLength:function(e){return 32},edgeElasticity:function(e){return 32},nestingFactor:1.2,gravity:1,numIter:1e3,initialTemp:1e3,coolingFactor:.99,minTemp:1};function xc(e){this.options=Q({},bc,e),this.options.layout=this;var t=this.options.eles.nodes(),n=this.options.eles.edges().filter((function(e){var n=e.source().data("id"),r=e.target().data("id"),i=t.some((function(e){return e.data("id")===n})),a=t.some((function(e){return e.data("id")===r}));return!i||!a}));this.options.eles=this.options.eles.not(n)}xc.prototype.run=function(){var e=this.options,t=e.cy,n=this;n.stopped=!1,!0!==e.animate&&!1!==e.animate||n.emit({type:"layoutstart",layout:n}),vc=!0===e.debug;var r=Ec(t,n,e);vc&&wc(r),e.randomize&&Dc(r);var i=rt(),a=function(){Nc(r,t,e),!0===e.fit&&t.fit(e.padding)},o=function(t){return!(n.stopped||t>=e.numIter||(Ac(r,e),r.temperature=r.temperature*e.coolingFactor,r.temperature<e.minTemp))},s=function(){if(!0===e.animate||!1===e.animate)a(),n.one("layoutstop",e.stop),n.emit({type:"layoutstop",layout:n});else{var t=e.eles.nodes(),i=Cc(r,e,t);t.layoutPositions(n,e,i)}},l=0,u=!0;if(!0===e.animate)!function t(){for(var n=0;u&&n<e.refresh;)u=o(l),l++,n++;u?(rt()-i>=e.animationThreshold&&a(),nt(t)):(Gc(r,e),s())}();else{for(;u;)u=o(l),l++;Gc(r,e),s()}return this},xc.prototype.stop=function(){return this.stopped=!0,this.thread&&this.thread.stop(),this.emit("layoutstop"),this},xc.prototype.destroy=function(){return this.thread&&this.thread.stop(),this};var wc,Ec=function(e,t,n){for(var r=n.eles.edges(),i=n.eles.nodes(),a=Ln(n.boundingBox?n.boundingBox:{x1:0,y1:0,w:e.width(),h:e.height()}),o={isCompound:e.hasCompoundNodes(),layoutNodes:[],idToIndex:{},nodeSize:i.size(),graphSet:[],indexToGraph:[],layoutEdges:[],edgeSize:r.size(),temperature:n.initialTemp,clientWidth:a.w,clientHeight:a.h,boundingBox:a},s=n.eles.components(),l={},u=0;u<s.length;u++)for(var c=s[u],h=0;h<c.length;h++)l[c[h].id()]=u;for(u=0;u<o.nodeSize;u++){var d=(y=i[u]).layoutDimensions(n);(M={}).isLocked=y.locked(),M.id=y.data("id"),M.parentId=y.data("parent"),M.cmptId=l[y.id()],M.children=[],M.positionX=y.position("x"),M.positionY=y.position("y"),M.offsetX=0,M.offsetY=0,M.height=d.w,M.width=d.h,M.maxX=M.positionX+M.width/2,M.minX=M.positionX-M.width/2,M.maxY=M.positionY+M.height/2,M.minY=M.positionY-M.height/2,M.padLeft=parseFloat(y.style("padding")),M.padRight=parseFloat(y.style("padding")),M.padTop=parseFloat(y.style("padding")),M.padBottom=parseFloat(y.style("padding")),M.nodeRepulsion=x(n.nodeRepulsion)?n.nodeRepulsion(y):n.nodeRepulsion,o.layoutNodes.push(M),o.idToIndex[M.id]=u}var p=[],g=0,f=-1,v=[];for(u=0;u<o.nodeSize;u++){var y,m=(y=o.layoutNodes[u]).parentId;null!=m?o.layoutNodes[o.idToIndex[m]].children.push(y.id):(p[++f]=y.id,v.push(y.id))}for(o.graphSet.push(v);g<=f;){var b=p[g++],w=o.idToIndex[b],E=o.layoutNodes[w].children;if(E.length>0)for(o.graphSet.push(E),u=0;u<E.length;u++)p[++f]=E[u]}for(u=0;u<o.graphSet.length;u++){var T=o.graphSet[u];for(h=0;h<T.length;h++){var _=o.idToIndex[T[h]];o.indexToGraph[_]=u}}for(u=0;u<o.edgeSize;u++){var D=r[u],C={};C.id=D.data("id"),C.sourceId=D.data("source"),C.targetId=D.data("target");var N=x(n.idealEdgeLength)?n.idealEdgeLength(D):n.idealEdgeLength,A=x(n.edgeElasticity)?n.edgeElasticity(D):n.edgeElasticity,L=o.idToIndex[C.sourceId],S=o.idToIndex[C.targetId];if(o.indexToGraph[L]!=o.indexToGraph[S]){for(var O=Tc(C.sourceId,C.targetId,o),k=o.graphSet[O],I=0,M=o.layoutNodes[L];-1===k.indexOf(M.id);)M=o.layoutNodes[o.idToIndex[M.parentId]],I++;for(M=o.layoutNodes[S];-1===k.indexOf(M.id);)M=o.layoutNodes[o.idToIndex[M.parentId]],I++;N*=I*n.nestingFactor}C.idealLength=N,C.elasticity=A,o.layoutEdges.push(C)}return o},Tc=function(e,t,n){var r=_c(e,t,0,n);return 2>r.count?0:r.graph},_c=function e(t,n,r,i){var a=i.graphSet[r];if(-1<a.indexOf(t)&&-1<a.indexOf(n))return{count:2,graph:r};for(var o=0,s=0;s<a.length;s++){var l=a[s],u=i.idToIndex[l],c=i.layoutNodes[u].children;if(0!==c.length){var h=e(t,n,i.indexToGraph[i.idToIndex[c[0]]],i);if(0!==h.count){if(1!==h.count)return h;if(2==++o)break}}}return{count:o,graph:r}},Dc=function(e,t){for(var n=e.clientWidth,r=e.clientHeight,i=0;i<e.nodeSize;i++){var a=e.layoutNodes[i];0!==a.children.length||a.isLocked||(a.positionX=Math.random()*n,a.positionY=Math.random()*r)}},Cc=function(e,t,n){var r=e.boundingBox,i={x1:1/0,x2:-1/0,y1:1/0,y2:-1/0};return t.boundingBox&&(n.forEach((function(t){var n=e.layoutNodes[e.idToIndex[t.data("id")]];i.x1=Math.min(i.x1,n.positionX),i.x2=Math.max(i.x2,n.positionX),i.y1=Math.min(i.y1,n.positionY),i.y2=Math.max(i.y2,n.positionY)})),i.w=i.x2-i.x1,i.h=i.y2-i.y1),function(n,a){var o=e.layoutNodes[e.idToIndex[n.data("id")]];if(t.boundingBox){var s=(o.positionX-i.x1)/i.w,l=(o.positionY-i.y1)/i.h;return{x:r.x1+s*r.w,y:r.y1+l*r.h}}return{x:o.positionX,y:o.positionY}}},Nc=function(e,t,n){var r=n.layout,i=n.eles.nodes(),a=Cc(e,n,i);i.positions(a),!0!==e.ready&&(e.ready=!0,r.one("layoutready",n.ready),r.emit({type:"layoutready",layout:this}))},Ac=function(e,t,n){Lc(e,t),Mc(e),Pc(e,t),Rc(e),Bc(e)},Lc=function(e,t){for(var n=0;n<e.graphSet.length;n++)for(var r=e.graphSet[n],i=r.length,a=0;a<i;a++)for(var o=e.layoutNodes[e.idToIndex[r[a]]],s=a+1;s<i;s++){var l=e.layoutNodes[e.idToIndex[r[s]]];Oc(o,l,e,t)}},Sc=function(e){return-e+2*e*Math.random()},Oc=function(e,t,n,r){if(e.cmptId===t.cmptId||n.isCompound){var i=t.positionX-e.positionX,a=t.positionY-e.positionY,o=1;0===i&&0===a&&(i=Sc(o),a=Sc(o));var s=kc(e,t,i,a);if(s>0)var l=(c=r.nodeOverlap*s)*i/(v=Math.sqrt(i*i+a*a)),u=c*a/v;else{var c,h=Ic(e,i,a),d=Ic(t,-1*i,-1*a),p=d.x-h.x,g=d.y-h.y,f=p*p+g*g,v=Math.sqrt(f);l=(c=(e.nodeRepulsion+t.nodeRepulsion)/f)*p/v,u=c*g/v}e.isLocked||(e.offsetX-=l,e.offsetY-=u),t.isLocked||(t.offsetX+=l,t.offsetY+=u)}},kc=function(e,t,n,r){if(n>0)var i=e.maxX-t.minX;else i=t.maxX-e.minX;if(r>0)var a=e.maxY-t.minY;else a=t.maxY-e.minY;return i>=0&&a>=0?Math.sqrt(i*i+a*a):0},Ic=function(e,t,n){var r=e.positionX,i=e.positionY,a=e.height||1,o=e.width||1,s=n/t,l=a/o,u={};return 0===t&&0<n||0===t&&0>n?(u.x=r,u.y=i+a/2,u):0<t&&-1*l<=s&&s<=l?(u.x=r+o/2,u.y=i+o*n/2/t,u):0>t&&-1*l<=s&&s<=l?(u.x=r-o/2,u.y=i-o*n/2/t,u):0<n&&(s<=-1*l||s>=l)?(u.x=r+a*t/2/n,u.y=i+a/2,u):0>n&&(s<=-1*l||s>=l)?(u.x=r-a*t/2/n,u.y=i-a/2,u):u},Mc=function(e,t){for(var n=0;n<e.edgeSize;n++){var r=e.layoutEdges[n],i=e.idToIndex[r.sourceId],a=e.layoutNodes[i],o=e.idToIndex[r.targetId],s=e.layoutNodes[o],l=s.positionX-a.positionX,u=s.positionY-a.positionY;if(0!==l||0!==u){var c=Ic(a,l,u),h=Ic(s,-1*l,-1*u),d=h.x-c.x,p=h.y-c.y,g=Math.sqrt(d*d+p*p),f=Math.pow(r.idealLength-g,2)/r.elasticity;if(0!==g)var v=f*d/g,y=f*p/g;else v=0,y=0;a.isLocked||(a.offsetX+=v,a.offsetY+=y),s.isLocked||(s.offsetX-=v,s.offsetY-=y)}}},Pc=function(e,t){if(0!==t.gravity)for(var n=1,r=0;r<e.graphSet.length;r++){var i=e.graphSet[r],a=i.length;if(0===r)var o=e.clientHeight/2,s=e.clientWidth/2;else{var l=e.layoutNodes[e.idToIndex[i[0]]],u=e.layoutNodes[e.idToIndex[l.parentId]];o=u.positionX,s=u.positionY}for(var c=0;c<a;c++){var h=e.layoutNodes[e.idToIndex[i[c]]];if(!h.isLocked){var d=o-h.positionX,p=s-h.positionY,g=Math.sqrt(d*d+p*p);if(g>n){var f=t.gravity*d/g,v=t.gravity*p/g;h.offsetX+=f,h.offsetY+=v}}}}},Rc=function(e,t){var n=[],r=0,i=-1;for(n.push.apply(n,e.graphSet[0]),i+=e.graphSet[0].length;r<=i;){var a=n[r++],o=e.idToIndex[a],s=e.layoutNodes[o],l=s.children;if(0<l.length&&!s.isLocked){for(var u=s.offsetX,c=s.offsetY,h=0;h<l.length;h++){var d=e.layoutNodes[e.idToIndex[l[h]]];d.offsetX+=u,d.offsetY+=c,n[++i]=l[h]}s.offsetX=0,s.offsetY=0}}},Bc=function(e,t){for(var n=0;n<e.nodeSize;n++)0<(i=e.layoutNodes[n]).children.length&&(i.maxX=void 0,i.minX=void 0,i.maxY=void 0,i.minY=void 0);for(n=0;n<e.nodeSize;n++)if(!(0<(i=e.layoutNodes[n]).children.length||i.isLocked)){var r=Fc(i.offsetX,i.offsetY,e.temperature);i.positionX+=r.x,i.positionY+=r.y,i.offsetX=0,i.offsetY=0,i.minX=i.positionX-i.width,i.maxX=i.positionX+i.width,i.minY=i.positionY-i.height,i.maxY=i.positionY+i.height,zc(i,e)}for(n=0;n<e.nodeSize;n++){var i;0<(i=e.layoutNodes[n]).children.length&&!i.isLocked&&(i.positionX=(i.maxX+i.minX)/2,i.positionY=(i.maxY+i.minY)/2,i.width=i.maxX-i.minX,i.height=i.maxY-i.minY)}},Fc=function(e,t,n){var r=Math.sqrt(e*e+t*t);if(r>n)var i={x:n*e/r,y:n*t/r};else i={x:e,y:t};return i},zc=function e(t,n){var r=t.parentId;if(null!=r){var 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t,n,r,i,a,o,s=e._private.rscratch,l="haystack"===s.edgeType,u="bezier"===s.edgeType,c="multibezier"===s.edgeType,h="segments"===s.edgeType,d="compound"===s.edgeType,p="self"===s.edgeType;if(l?(r=s.haystackPts[0],i=s.haystackPts[1],a=s.haystackPts[2],o=s.haystackPts[3]):(r=s.arrowStartX,i=s.arrowStartY,a=s.arrowEndX,o=s.arrowEndY),f=s.midX,v=s.midY,h)t=r-s.segpts[0],n=i-s.segpts[1];else if(c||d||p||u){var g=s.allpts;t=r-Dn(g[0],g[2],g[4],.1),n=i-Dn(g[1],g[3],g[5],.1)}else t=r-f,n=i-v;s.srcArrowAngle=bn(t,n);var f=s.midX,v=s.midY;if(l&&(f=(r+a)/2,v=(i+o)/2),t=a-r,n=o-i,h)if((g=s.allpts).length/2%2==0){var y=(m=g.length/2)-2;t=g[m]-g[y],n=g[m+1]-g[y+1]}else{y=(m=g.length/2-1)-2;var m,b=m+2;t=g[m]-g[y],n=g[m+1]-g[y+1]}else if(c||d||p){var x,w,E,T,g=s.allpts;if(s.ctrlpts.length/2%2==0){var _=2+(D=2+(C=g.length/2-1));x=Dn(g[C],g[D],g[_],0),w=Dn(g[C+1],g[D+1],g[_+1],0),E=Dn(g[C],g[D],g[_],1e-4),T=Dn(g[C+1],g[D+1],g[_+1],1e-4)}else{var D,C;_=2+(D=g.length/2-1),x=Dn(g[C=D-2],g[D],g[_],.4999),w=Dn(g[C+1],g[D+1],g[_+1],.4999),E=Dn(g[C],g[D],g[_],.5),T=Dn(g[C+1],g[D+1],g[_+1],.5)}t=E-x,n=T-w}if(s.midtgtArrowAngle=bn(t,n),s.midDispX=t,s.midDispY=n,t*=-1,n*=-1,h&&((g=s.allpts).length/2%2==0||(t=-(g[b=2+(m=g.length/2-1)]-g[m]),n=-(g[b+1]-g[m+1]))),s.midsrcArrowAngle=bn(t,n),h)t=a-s.segpts[s.segpts.length-2],n=o-s.segpts[s.segpts.length-1];else if(c||d||p||u){var N=(g=s.allpts).length;t=a-Dn(g[N-6],g[N-4],g[N-2],.9),n=o-Dn(g[N-5],g[N-3],g[N-1],.9)}else t=a-f,n=o-v;s.tgtArrowAngle=bn(t,n)}};th.getArrowWidth=th.getArrowHeight=function(e,t){var n=this.arrowWidthCache=this.arrowWidthCache||{},r=n[e+", "+t];return r||(r=Math.max(Math.pow(13.37*e,.9),29)*t,n[e+", "+t]=r,r)};var nh={};function rh(e){var t=[];if(null!=e){for(var n=0;n<e.length;n+=2){var r=e[n],i=e[n+1];t.push({x:r,y:i})}return t}}nh.findMidptPtsEtc=function(e,t){var n,r=t.posPts,i=t.intersectionPts,a=t.vectorNormInverse,s=e.pstyle("source-endpoint"),l=e.pstyle("target-endpoint"),u=null!=s.units&&null!=l.units,c=function(e,t,n,r){var i=r-t,a=n-e,o=Math.sqrt(a*a+i*i);return{x:-i/o,y:a/o}};switch(e.pstyle("edge-distances").value){case"node-position":n=r;break;case"intersection":n=i;break;case"endpoints":if(u){var h=o(this.manualEndptToPx(e.source()[0],s),2),d=h[0],p=h[1],g=o(this.manualEndptToPx(e.target()[0],l),2),f=g[0],v=g[1],y={x1:d,y1:p,x2:f,y2:v};a=c(d,p,f,v),n=y}else Nt("Edge ".concat(e.id()," has edge-distances:endpoints specified without manual endpoints specified via source-endpoint and target-endpoint. Falling back on edge-distances:intersection (default).")),n=i}return{midptPts:n,vectorNormInverse:a}},nh.findHaystackPoints=function(e){for(var t=0;t<e.length;t++){var n=e[t],r=n._private,i=r.rscratch;if(!i.haystack){var a=2*Math.random()*Math.PI;i.source={x:Math.cos(a),y:Math.sin(a)},a=2*Math.random()*Math.PI,i.target={x:Math.cos(a),y:Math.sin(a)}}var o=r.source,s=r.target,l=o.position(),u=s.position(),c=o.width(),h=s.width(),d=o.height(),p=s.height(),g=n.pstyle("haystack-radius").value/2;i.haystackPts=i.allpts=[i.source.x*c*g+l.x,i.source.y*d*g+l.y,i.target.x*h*g+u.x,i.target.y*p*g+u.y],i.midX=(i.allpts[0]+i.allpts[2])/2,i.midY=(i.allpts[1]+i.allpts[3])/2,i.edgeType="haystack",i.haystack=!0,this.storeEdgeProjections(n),this.calculateArrowAngles(n),this.recalculateEdgeLabelProjections(n),this.calculateLabelAngles(n)}},nh.findSegmentsPoints=function(e,t){var n=e._private.rscratch,r=e.pstyle("segment-weights"),i=e.pstyle("segment-distances"),a=Math.min(r.pfValue.length,i.pfValue.length);n.edgeType="segments",n.segpts=[];for(var o=0;o<a;o++){var s=r.pfValue[o],l=i.pfValue[o],u=1-s,c=s,h=this.findMidptPtsEtc(e,t),d=h.midptPts,p=h.vectorNormInverse,g={x:d.x1*u+d.x2*c,y:d.y1*u+d.y2*c};n.segpts.push(g.x+p.x*l,g.y+p.y*l)}},nh.findLoopPoints=function(e,t,n,r){var i=e._private.rscratch,a=t.dirCounts,o=t.srcPos,s=e.pstyle("control-point-distances"),l=s?s.pfValue[0]:void 0,u=e.pstyle("loop-direction").pfValue,c=e.pstyle("loop-sweep").pfValue,h=e.pstyle("control-point-step-size").pfValue;i.edgeType="self";var d=n,p=h;r&&(d=0,p=l);var g=u-Math.PI/2,f=g-c/2,v=g+c/2,y=String(u+"_"+c);d=void 0===a[y]?a[y]=0:++a[y],i.ctrlpts=[o.x+1.4*Math.cos(f)*p*(d/3+1),o.y+1.4*Math.sin(f)*p*(d/3+1),o.x+1.4*Math.cos(v)*p*(d/3+1),o.y+1.4*Math.sin(v)*p*(d/3+1)]},nh.findCompoundLoopPoints=function(e,t,n,r){var i=e._private.rscratch;i.edgeType="compound";var a=t.srcPos,o=t.tgtPos,s=t.srcW,l=t.srcH,u=t.tgtW,c=t.tgtH,h=e.pstyle("control-point-step-size").pfValue,d=e.pstyle("control-point-distances"),p=d?d.pfValue[0]:void 0,g=n,f=h;r&&(g=0,f=p);var v=50,y={x:a.x-s/2,y:a.y-l/2},m={x:o.x-u/2,y:o.y-c/2},b={x:Math.min(y.x,m.x),y:Math.min(y.y,m.y)},x=.5,w=Math.max(x,Math.log(.01*s)),E=Math.max(x,Math.log(.01*u));i.ctrlpts=[b.x,b.y-(1+Math.pow(v,1.12)/100)*f*(g/3+1)*w,b.x-(1+Math.pow(v,1.12)/100)*f*(g/3+1)*E,b.y]},nh.findStraightEdgePoints=function(e){e._private.rscratch.edgeType="straight"},nh.findBezierPoints=function(e,t,n,r,i){var a=e._private.rscratch,o=e.pstyle("control-point-step-size").pfValue,s=e.pstyle("control-point-distances"),l=e.pstyle("control-point-weights"),u=s&&l?Math.min(s.value.length,l.value.length):1,c=s?s.pfValue[0]:void 0,h=l.value[0],d=r;a.edgeType=d?"multibezier":"bezier",a.ctrlpts=[];for(var p=0;p<u;p++){var g=(.5-t.eles.length/2+n)*o*(i?-1:1),f=void 0,v=wn(g);d&&(c=s?s.pfValue[p]:o,h=l.value[p]);var y=void 0!==(f=r?c:void 0!==c?v*c:void 0)?f:g,m=1-h,b=h,x=this.findMidptPtsEtc(e,t),w=x.midptPts,E=x.vectorNormInverse,T={x:w.x1*m+w.x2*b,y:w.y1*m+w.y2*b};a.ctrlpts.push(T.x+E.x*y,T.y+E.y*y)}},nh.findTaxiPoints=function(e,t){var n=e._private.rscratch;n.edgeType="segments";var r="vertical",i="horizontal",a="leftward",o="rightward",s="downward",l="upward",u="auto",c=t.posPts,h=t.srcW,d=t.srcH,p=t.tgtW,g=t.tgtH,f="node-position"!==e.pstyle("edge-distances").value,v=e.pstyle("taxi-direction").value,y=v,m=e.pstyle("taxi-turn"),b="%"===m.units,x=m.pfValue,w=x<0,E=e.pstyle("taxi-turn-min-distance").pfValue,T=f?(h+p)/2:0,_=f?(d+g)/2:0,D=c.x2-c.x1,C=c.y2-c.y1,N=function(e,t){return e>0?Math.max(e-t,0):Math.min(e+t,0)},A=N(D,T),L=N(C,_),S=!1;y===u?v=Math.abs(A)>Math.abs(L)?i:r:y===l||y===s?(v=r,S=!0):y!==a&&y!==o||(v=i,S=!0);var O,k=v===r,I=k?L:A,M=k?C:D,P=wn(M),R=!1;S&&(b||w)||!(y===s&&M<0||y===l&&M>0||y===a&&M>0||y===o&&M<0)||(I=(P*=-1)*Math.abs(I),R=!0);var B=function(e){return Math.abs(e)<E||Math.abs(e)>=Math.abs(I)},F=B(O=b?(x<0?1+x:x)*I:(x<0?I:0)+x*P),z=B(Math.abs(I)-Math.abs(O));if(!F&&!z||R)if(k){var G=c.y1+O+(f?d/2*P:0),Y=c.x1,X=c.x2;n.segpts=[Y,G,X,G]}else{var V=c.x1+O+(f?h/2*P:0),U=c.y1,j=c.y2;n.segpts=[V,U,V,j]}else if(k){var H=Math.abs(M)<=d/2,q=Math.abs(D)<=p/2;if(H){var W=(c.x1+c.x2)/2,$=c.y1,K=c.y2;n.segpts=[W,$,W,K]}else if(q){var Z=(c.y1+c.y2)/2,Q=c.x1,J=c.x2;n.segpts=[Q,Z,J,Z]}else n.segpts=[c.x1,c.y2]}else{var ee=Math.abs(M)<=h/2,te=Math.abs(C)<=g/2;if(ee){var ne=(c.y1+c.y2)/2,re=c.x1,ie=c.x2;n.segpts=[re,ne,ie,ne]}else if(te){var ae=(c.x1+c.x2)/2,oe=c.y1,se=c.y2;n.segpts=[ae,oe,ae,se]}else n.segpts=[c.x2,c.y1]}},nh.tryToCorrectInvalidPoints=function(e,t){var n=e._private.rscratch;if("bezier"===n.edgeType){var r=t.srcPos,i=t.tgtPos,a=t.srcW,o=t.srcH,s=t.tgtW,l=t.tgtH,u=t.srcShape,c=t.tgtShape,h=!_(n.startX)||!_(n.startY),d=!_(n.arrowStartX)||!_(n.arrowStartY),p=!_(n.endX)||!_(n.endY),g=!_(n.arrowEndX)||!_(n.arrowEndY),f=this.getArrowWidth(e.pstyle("width").pfValue,e.pstyle("arrow-scale").value)*this.arrowShapeWidth*3,v=En({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.startX,y:n.startY}),y=v<f,m=En({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.endX,y:n.endY}),b=m<f,x=!1;if(h||d||y){x=!0;var w={x:n.ctrlpts[0]-r.x,y:n.ctrlpts[1]-r.y},E=Math.sqrt(w.x*w.x+w.y*w.y),T={x:w.x/E,y:w.y/E},D=Math.max(a,o),C={x:n.ctrlpts[0]+2*T.x*D,y:n.ctrlpts[1]+2*T.y*D},N=u.intersectLine(r.x,r.y,a,o,C.x,C.y,0);y?(n.ctrlpts[0]=n.ctrlpts[0]+T.x*(f-v),n.ctrlpts[1]=n.ctrlpts[1]+T.y*(f-v)):(n.ctrlpts[0]=N[0]+T.x*f,n.ctrlpts[1]=N[1]+T.y*f)}if(p||g||b){x=!0;var A={x:n.ctrlpts[0]-i.x,y:n.ctrlpts[1]-i.y},L=Math.sqrt(A.x*A.x+A.y*A.y),S={x:A.x/L,y:A.y/L},O=Math.max(a,o),k={x:n.ctrlpts[0]+2*S.x*O,y:n.ctrlpts[1]+2*S.y*O},I=c.intersectLine(i.x,i.y,s,l,k.x,k.y,0);b?(n.ctrlpts[0]=n.ctrlpts[0]+S.x*(f-m),n.ctrlpts[1]=n.ctrlpts[1]+S.y*(f-m)):(n.ctrlpts[0]=I[0]+S.x*f,n.ctrlpts[1]=I[1]+S.y*f)}x&&this.findEndpoints(e)}},nh.storeAllpts=function(e){var t=e._private.rscratch;if("multibezier"===t.edgeType||"bezier"===t.edgeType||"self"===t.edgeType||"compound"===t.edgeType){t.allpts=[],t.allpts.push(t.startX,t.startY);for(var n=0;n+1<t.ctrlpts.length;n+=2)t.allpts.push(t.ctrlpts[n],t.ctrlpts[n+1]),n+3<t.ctrlpts.length&&t.allpts.push((t.ctrlpts[n]+t.ctrlpts[n+2])/2,(t.ctrlpts[n+1]+t.ctrlpts[n+3])/2);var r,i;t.allpts.push(t.endX,t.endY),t.ctrlpts.length/2%2==0?(r=t.allpts.length/2-1,t.midX=t.allpts[r],t.midY=t.allpts[r+1]):(r=t.allpts.length/2-3,i=.5,t.midX=Dn(t.allpts[r],t.allpts[r+2],t.allpts[r+4],i),t.midY=Dn(t.allpts[r+1],t.allpts[r+3],t.allpts[r+5],i))}else if("straight"===t.edgeType)t.allpts=[t.startX,t.startY,t.endX,t.endY],t.midX=(t.startX+t.endX+t.arrowStartX+t.arrowEndX)/4,t.midY=(t.startY+t.endY+t.arrowStartY+t.arrowEndY)/4;else if("segments"===t.edgeType)if(t.allpts=[],t.allpts.push(t.startX,t.startY),t.allpts.push.apply(t.allpts,t.segpts),t.allpts.push(t.endX,t.endY),t.segpts.length%4==0){var a=t.segpts.length/2,o=a-2;t.midX=(t.segpts[o]+t.segpts[a])/2,t.midY=(t.segpts[o+1]+t.segpts[a+1])/2}else{var s=t.segpts.length/2-1;t.midX=t.segpts[s],t.midY=t.segpts[s+1]}},nh.checkForInvalidEdgeWarning=function(e){var t=e[0]._private.rscratch;t.nodesOverlap||_(t.startX)&&_(t.startY)&&_(t.endX)&&_(t.endY)?t.loggedErr=!1:t.loggedErr||(t.loggedErr=!0,Nt("Edge `"+e.id()+"` has invalid endpoints and so it is impossible to draw. Adjust your edge style (e.g. control points) accordingly or use an alternative edge type. This is expected behaviour when the source node and the target node overlap."))},nh.findEdgeControlPoints=function(e){var t=this;if(e&&0!==e.length){for(var n=this,r=n.cy.hasCompoundNodes(),i={map:new Yt,get:function(e){var t=this.map.get(e[0]);return null!=t?t.get(e[1]):null},set:function(e,t){var n=this.map.get(e[0]);null==n&&(n=new Yt,this.map.set(e[0],n)),n.set(e[1],t)}},a=[],o=[],s=0;s<e.length;s++){var l=e[s],u=l._private,c=l.pstyle("curve-style").value;if(!l.removed()&&l.takesUpSpace())if("haystack"!==c){var h="unbundled-bezier"===c||"segments"===c||"straight"===c||"straight-triangle"===c||"taxi"===c,d="unbundled-bezier"===c||"bezier"===c,p=u.source,g=u.target,f=[p.poolIndex(),g.poolIndex()].sort(),v=i.get(f);null==v&&(v={eles:[]},i.set(f,v),a.push(f)),v.eles.push(l),h&&(v.hasUnbundled=!0),d&&(v.hasBezier=!0)}else o.push(l)}for(var y=function(e){var o=a[e],s=i.get(o),l=void 0;if(!s.hasUnbundled){var u=s.eles[0].parallelEdges().filter((function(e){return e.isBundledBezier()}));Rt(s.eles),u.forEach((function(e){return s.eles.push(e)})),s.eles.sort((function(e,t){return e.poolIndex()-t.poolIndex()}))}var c=s.eles[0],h=c.source(),d=c.target();if(h.poolIndex()>d.poolIndex()){var p=h;h=d,d=p}var g=s.srcPos=h.position(),f=s.tgtPos=d.position(),v=s.srcW=h.outerWidth(),y=s.srcH=h.outerHeight(),m=s.tgtW=d.outerWidth(),b=s.tgtH=d.outerHeight(),x=s.srcShape=n.nodeShapes[t.getNodeShape(h)],w=s.tgtShape=n.nodeShapes[t.getNodeShape(d)];s.dirCounts={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0};for(var E=0;E<s.eles.length;E++){var T=s.eles[E],D=T[0]._private.rscratch,C=T.pstyle("curve-style").value,N="unbundled-bezier"===C||"segments"===C||"taxi"===C,A=!h.same(T.source());if(!s.calculatedIntersection&&h!==d&&(s.hasBezier||s.hasUnbundled)){s.calculatedIntersection=!0;var L=x.intersectLine(g.x,g.y,v,y,f.x,f.y,0),S=s.srcIntn=L,O=w.intersectLine(f.x,f.y,m,b,g.x,g.y,0),k=s.tgtIntn=O,I=s.intersectionPts={x1:L[0],x2:O[0],y1:L[1],y2:O[1]},M=s.posPts={x1:g.x,x2:f.x,y1:g.y,y2:f.y},P=O[1]-L[1],R=O[0]-L[0],B=Math.sqrt(R*R+P*P),F=s.vector={x:R,y:P},z=s.vectorNorm={x:F.x/B,y:F.y/B},G={x:-z.y,y:z.x};s.nodesOverlap=!_(B)||w.checkPoint(L[0],L[1],0,m,b,f.x,f.y)||x.checkPoint(O[0],O[1],0,v,y,g.x,g.y),s.vectorNormInverse=G,l={nodesOverlap:s.nodesOverlap,dirCounts:s.dirCounts,calculatedIntersection:!0,hasBezier:s.hasBezier,hasUnbundled:s.hasUnbundled,eles:s.eles,srcPos:f,tgtPos:g,srcW:m,srcH:b,tgtW:v,tgtH:y,srcIntn:k,tgtIntn:S,srcShape:w,tgtShape:x,posPts:{x1:M.x2,y1:M.y2,x2:M.x1,y2:M.y1},intersectionPts:{x1:I.x2,y1:I.y2,x2:I.x1,y2:I.y1},vector:{x:-F.x,y:-F.y},vectorNorm:{x:-z.x,y:-z.y},vectorNormInverse:{x:-G.x,y:-G.y}}}var Y=A?l:s;D.nodesOverlap=Y.nodesOverlap,D.srcIntn=Y.srcIntn,D.tgtIntn=Y.tgtIntn,r&&(h.isParent()||h.isChild()||d.isParent()||d.isChild())&&(h.parents().anySame(d)||d.parents().anySame(h)||h.same(d)&&h.isParent())?t.findCompoundLoopPoints(T,Y,E,N):h===d?t.findLoopPoints(T,Y,E,N):"segments"===C?t.findSegmentsPoints(T,Y):"taxi"===C?t.findTaxiPoints(T,Y):"straight"===C||!N&&s.eles.length%2==1&&E===Math.floor(s.eles.length/2)?t.findStraightEdgePoints(T):t.findBezierPoints(T,Y,E,N,A),t.findEndpoints(T),t.tryToCorrectInvalidPoints(T,Y),t.checkForInvalidEdgeWarning(T),t.storeAllpts(T),t.storeEdgeProjections(T),t.calculateArrowAngles(T),t.recalculateEdgeLabelProjections(T),t.calculateLabelAngles(T)}},m=0;m<a.length;m++)y(m);this.findHaystackPoints(o)}},nh.getSegmentPoints=function(e){var t=e[0]._private.rscratch;if("segments"===t.edgeType)return this.recalculateRenderedStyle(e),rh(t.segpts)},nh.getControlPoints=function(e){var t=e[0]._private.rscratch,n=t.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return this.recalculateRenderedStyle(e),rh(t.ctrlpts)},nh.getEdgeMidpoint=function(e){var t=e[0]._private.rscratch;return this.recalculateRenderedStyle(e),{x:t.midX,y:t.midY}};var ih={manualEndptToPx:function(e,t){var n=this,r=e.position(),i=e.outerWidth(),a=e.outerHeight();if(2===t.value.length){var o=[t.pfValue[0],t.pfValue[1]];return"%"===t.units[0]&&(o[0]=o[0]*i),"%"===t.units[1]&&(o[1]=o[1]*a),o[0]+=r.x,o[1]+=r.y,o}var s=t.pfValue[0];s=-Math.PI/2+s;var l=2*Math.max(i,a),u=[r.x+Math.cos(s)*l,r.y+Math.sin(s)*l];return n.nodeShapes[this.getNodeShape(e)].intersectLine(r.x,r.y,i,a,u[0],u[1],0)},findEndpoints:function(e){var 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t=e._private,n=t.rscratch,r=n.edgeType;if(t.rstyle.bezierPts=null,t.rstyle.linePts=null,t.rstyle.haystackPts=null,"multibezier"===r||"bezier"===r||"self"===r||"compound"===r){t.rstyle.bezierPts=[];for(var i=0;i+5<n.allpts.length;i+=4)oh(this,e,n.allpts.slice(i,i+6))}else if("segments"===r){var a=t.rstyle.linePts=[];for(i=0;i+1<n.allpts.length;i+=2)a.push({x:n.allpts[i],y:n.allpts[i+1]})}else if("haystack"===r){var o=n.haystackPts;t.rstyle.haystackPts=[{x:o[0],y:o[1]},{x:o[2],y:o[3]}]}t.rstyle.arrowWidth=this.getArrowWidth(e.pstyle("width").pfValue,e.pstyle("arrow-scale").value)*this.arrowShapeWidth},ah.recalculateEdgeProjections=function(e){this.findEdgeControlPoints(e)};var sh={recalculateNodeLabelProjection:function(e){var t=e.pstyle("label").strValue;if(!I(t)){var 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g=a.collection(e.getAllInBox(s[0],s[1],s[2],s[3]));e.redrawHint("select",!0),g.length>0&&e.redrawHint("eles",!0),a.emit({type:"boxend",originalEvent:t,position:{x:o[0],y:o[1]}});var f=function(e){return e.selectable()&&!e.selected()};"additive"===a.selectionType()||h||a.$(n).unmerge(g).unselect(),g.emit("box").stdFilter(f).select().emit("boxselect"),e.redraw()}if(e.hoverData.dragging&&(e.hoverData.dragging=!1,e.redrawHint("select",!0),e.redrawHint("eles",!0),e.redraw()),!s[4]){e.redrawHint("drag",!0),e.redrawHint("eles",!0);var y=c&&c.grabbed();v(u),y&&(c.emit("freeon"),u.emit("free"),e.dragData.didDrag&&(c.emit("dragfreeon"),u.emit("dragfree")))}}s[4]=0,e.hoverData.down=null,e.hoverData.cxtStarted=!1,e.hoverData.draggingEles=!1,e.hoverData.selecting=!1,e.hoverData.isOverThresholdDrag=!1,e.dragData.didDrag=!1,e.hoverData.dragged=!1,e.hoverData.dragDelta=[],e.hoverData.mdownPos=null,e.hoverData.mdownGPos=null}}),!1);var S,O,k,I,M,P,R,B,F,z,G,Y,X,V=function(t){if(!e.scrollingPage){var 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l=n.zoom()*Math.pow(10,s);"gesturechange"===t.type&&(l=e.gestureStartZoom*t.scale),n.zoom({level:l,renderedPosition:{x:o[0],y:o[1]}}),n.emit("gesturechange"===t.type?"pinchzoom":"scrollzoom")}}};e.registerBinding(e.container,"wheel",V,!0),e.registerBinding(t,"scroll",(function(t){e.scrollingPage=!0,clearTimeout(e.scrollingPageTimeout),e.scrollingPageTimeout=setTimeout((function(){e.scrollingPage=!1}),250)}),!0),e.registerBinding(e.container,"gesturestart",(function(t){e.gestureStartZoom=e.cy.zoom(),e.hasTouchStarted||t.preventDefault()}),!0),e.registerBinding(e.container,"gesturechange",(function(t){e.hasTouchStarted||V(t)}),!0),e.registerBinding(e.container,"mouseout",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),e.registerBinding(e.container,"mouseover",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var U,j,H,q,W,$,K,Z=function(e,t,n,r){return Math.sqrt((n-e)*(n-e)+(r-t)*(r-t))},Q=function(e,t,n,r){return(n-e)*(n-e)+(r-t)*(r-t)};if(e.registerBinding(e.container,"touchstart",U=function(t){if(e.hasTouchStarted=!0,L(t)){m(),e.touchData.capture=!0,e.data.bgActivePosistion=void 0;var n=e.cy,i=e.touchData.now,a=e.touchData.earlier;if(t.touches[0]){var o=e.projectIntoViewport(t.touches[0].clientX,t.touches[0].clientY);i[0]=o[0],i[1]=o[1]}if(t.touches[1]&&(o=e.projectIntoViewport(t.touches[1].clientX,t.touches[1].clientY),i[2]=o[0],i[3]=o[1]),t.touches[2]&&(o=e.projectIntoViewport(t.touches[2].clientX,t.touches[2].clientY),i[4]=o[0],i[5]=o[1]),t.touches[1]){e.touchData.singleTouchMoved=!0,v(e.dragData.touchDragEles);var s=e.findContainerClientCoords();F=s[0],z=s[1],G=s[2],Y=s[3],S=t.touches[0].clientX-F,O=t.touches[0].clientY-z,k=t.touches[1].clientX-F,I=t.touches[1].clientY-z,X=0<=S&&S<=G&&0<=k&&k<=G&&0<=O&&O<=Y&&0<=I&&I<=Y;var l=n.pan(),u=n.zoom();M=Z(S,O,k,I),P=Q(S,O,k,I),B=[((R=[(S+k)/2,(O+I)/2])[0]-l.x)/u,(R[1]-l.y)/u];var h=200;if(P<h*h&&!t.touches[2]){var d=e.findNearestElement(i[0],i[1],!0,!0),p=e.findNearestElement(i[2],i[3],!0,!0);return d&&d.isNode()?(d.activate().emit({originalEvent:t,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=d):p&&p.isNode()?(p.activate().emit({originalEvent:t,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=p):n.emit({originalEvent:t,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!0,e.touchData.cxtDragged=!1,e.data.bgActivePosistion=void 0,void e.redraw()}}if(t.touches[2])n.boxSelectionEnabled()&&t.preventDefault();else if(t.touches[1]);else if(t.touches[0]){var y=e.findNearestElements(i[0],i[1],!0,!0),b=y[0];if(null!=b&&(b.activate(),e.touchData.start=b,e.touchData.starts=y,e.nodeIsGrabbable(b))){var x=e.dragData.touchDragEles=n.collection(),w=null;e.redrawHint("eles",!0),e.redrawHint("drag",!0),b.selected()?(w=n.$((function(t){return t.selected()&&e.nodeIsGrabbable(t)})),g(w,{addToList:x})):f(b,{addToList:x}),c(b);var E=function(e){return{originalEvent:t,type:e,position:{x:i[0],y:i[1]}}};b.emit(E("grabon")),w?w.forEach((function(e){e.emit(E("grab"))})):b.emit(E("grab"))}r(b,["touchstart","tapstart","vmousedown"],t,{x:i[0],y:i[1]}),null==b&&(e.data.bgActivePosistion={x:o[0],y:o[1]},e.redrawHint("select",!0),e.redraw()),e.touchData.singleTouchMoved=!1,e.touchData.singleTouchStartTime=+new Date,clearTimeout(e.touchData.tapholdTimeout),e.touchData.tapholdTimeout=setTimeout((function(){!1!==e.touchData.singleTouchMoved||e.pinching||e.touchData.selecting||r(e.touchData.start,["taphold"],t,{x:i[0],y:i[1]})}),e.tapholdDuration)}if(t.touches.length>=1){for(var T=e.touchData.startPosition=[null,null,null,null,null,null],_=0;_<i.length;_++)T[_]=a[_]=i[_];var D=t.touches[0];e.touchData.startGPosition=[D.clientX,D.clientY]}}},!1),e.registerBinding(window,"touchmove",j=function(t){var n=e.touchData.capture;if(n||L(t)){var i=e.selection,o=e.cy,s=e.touchData.now,l=e.touchData.earlier,u=o.zoom();if(t.touches[0]){var c=e.projectIntoViewport(t.touches[0].clientX,t.touches[0].clientY);s[0]=c[0],s[1]=c[1]}t.touches[1]&&(c=e.projectIntoViewport(t.touches[1].clientX,t.touches[1].clientY),s[2]=c[0],s[3]=c[1]),t.touches[2]&&(c=e.projectIntoViewport(t.touches[2].clientX,t.touches[2].clientY),s[4]=c[0],s[5]=c[1]);var h,d=e.touchData.startGPosition;if(n&&t.touches[0]&&d){for(var p=[],f=0;f<s.length;f++)p[f]=s[f]-l[f];var y=t.touches[0].clientX-d[0],m=y*y,b=t.touches[0].clientY-d[1];h=m+b*b>=e.touchTapThreshold2}if(n&&e.touchData.cxt){t.preventDefault();var x=t.touches[0].clientX-F,w=t.touches[0].clientY-z,E=t.touches[1].clientX-F,T=t.touches[1].clientY-z,D=Q(x,w,E,T),C=150,N=1.5;if(D/P>=N*N||D>=C*C){e.touchData.cxt=!1,e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var A={originalEvent:t,type:"cxttapend",position:{x:s[0],y:s[1]}};e.touchData.start?(e.touchData.start.unactivate().emit(A),e.touchData.start=null):o.emit(A)}}if(n&&e.touchData.cxt){A={originalEvent:t,type:"cxtdrag",position:{x:s[0],y:s[1]}},e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),e.touchData.start?e.touchData.start.emit(A):o.emit(A),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxtDragged=!0;var R=e.findNearestElement(s[0],s[1],!0,!0);e.touchData.cxtOver&&R===e.touchData.cxtOver||(e.touchData.cxtOver&&e.touchData.cxtOver.emit({originalEvent:t,type:"cxtdragout",position:{x:s[0],y:s[1]}}),e.touchData.cxtOver=R,R&&R.emit({originalEvent:t,type:"cxtdragover",position:{x:s[0],y:s[1]}}))}else if(n&&t.touches[2]&&o.boxSelectionEnabled())t.preventDefault(),e.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,e.touchData.selecting||o.emit({originalEvent:t,type:"boxstart",position:{x:s[0],y:s[1]}}),e.touchData.selecting=!0,e.touchData.didSelect=!0,i[4]=1,i&&0!==i.length&&void 0!==i[0]?(i[2]=(s[0]+s[2]+s[4])/3,i[3]=(s[1]+s[3]+s[5])/3):(i[0]=(s[0]+s[2]+s[4])/3,i[1]=(s[1]+s[3]+s[5])/3,i[2]=(s[0]+s[2]+s[4])/3+1,i[3]=(s[1]+s[3]+s[5])/3+1),e.redrawHint("select",!0),e.redraw();else if(n&&t.touches[1]&&!e.touchData.didSelect&&o.zoomingEnabled()&&o.panningEnabled()&&o.userZoomingEnabled()&&o.userPanningEnabled()){if(t.preventDefault(),e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),ne=e.dragData.touchDragEles){e.redrawHint("drag",!0);for(var G=0;G<ne.length;G++){var Y=ne[G]._private;Y.grabbed=!1,Y.rscratch.inDragLayer=!1}}var V=e.touchData.start,U=(x=t.touches[0].clientX-F,w=t.touches[0].clientY-z,E=t.touches[1].clientX-F,T=t.touches[1].clientY-z,Z(x,w,E,T)),j=U/M;if(X){var H=(x-S+(E-k))/2,q=(w-O+(T-I))/2,W=o.zoom(),$=W*j,K=o.pan(),J=B[0]*W+K.x,ee=B[1]*W+K.y,te={x:-$/W*(J-K.x-H)+J,y:-$/W*(ee-K.y-q)+ee};if(V&&V.active()){var ne=e.dragData.touchDragEles;v(ne),e.redrawHint("drag",!0),e.redrawHint("eles",!0),V.unactivate().emit("freeon"),ne.emit("free"),e.dragData.didDrag&&(V.emit("dragfreeon"),ne.emit("dragfree"))}o.viewport({zoom:$,pan:te,cancelOnFailedZoom:!0}),o.emit("pinchzoom"),M=U,S=x,O=w,k=E,I=T,e.pinching=!0}t.touches[0]&&(c=e.projectIntoViewport(t.touches[0].clientX,t.touches[0].clientY),s[0]=c[0],s[1]=c[1]),t.touches[1]&&(c=e.projectIntoViewport(t.touches[1].clientX,t.touches[1].clientY),s[2]=c[0],s[3]=c[1]),t.touches[2]&&(c=e.projectIntoViewport(t.touches[2].clientX,t.touches[2].clientY),s[4]=c[0],s[5]=c[1])}else if(t.touches[0]&&!e.touchData.didSelect){var re=e.touchData.start,ie=e.touchData.last;if(e.hoverData.draggingEles||e.swipePanning||(R=e.findNearestElement(s[0],s[1],!0,!0)),n&&null!=re&&t.preventDefault(),n&&null!=re&&e.nodeIsDraggable(re))if(h){ne=e.dragData.touchDragEles;var ae=!e.dragData.didDrag;ae&&g(ne,{inDragLayer:!0}),e.dragData.didDrag=!0;var oe={x:0,y:0};_(p[0])&&_(p[1])&&(oe.x+=p[0],oe.y+=p[1],ae&&(e.redrawHint("eles",!0),(se=e.touchData.dragDelta)&&_(se[0])&&_(se[1])&&(oe.x+=se[0],oe.y+=se[1]))),e.hoverData.draggingEles=!0,ne.silentShift(oe).emit("position drag"),e.redrawHint("drag",!0),e.touchData.startPosition[0]==l[0]&&e.touchData.startPosition[1]==l[1]&&e.redrawHint("eles",!0),e.redraw()}else{var se;0===(se=e.touchData.dragDelta=e.touchData.dragDelta||[]).length?(se.push(p[0]),se.push(p[1])):(se[0]+=p[0],se[1]+=p[1])}if(r(re||R,["touchmove","tapdrag","vmousemove"],t,{x:s[0],y:s[1]}),re&&re.grabbed()||R==ie||(ie&&ie.emit({originalEvent:t,type:"tapdragout",position:{x:s[0],y:s[1]}}),R&&R.emit({originalEvent:t,type:"tapdragover",position:{x:s[0],y:s[1]}})),e.touchData.last=R,n)for(G=0;G<s.length;G++)s[G]&&e.touchData.startPosition[G]&&h&&(e.touchData.singleTouchMoved=!0);n&&(null==re||re.pannable())&&o.panningEnabled()&&o.userPanningEnabled()&&(a(re,e.touchData.starts)&&(t.preventDefault(),e.data.bgActivePosistion||(e.data.bgActivePosistion=pn(e.touchData.startPosition)),e.swipePanning?(o.panBy({x:p[0]*u,y:p[1]*u}),o.emit("dragpan")):h&&(e.swipePanning=!0,o.panBy({x:y*u,y:b*u}),o.emit("dragpan"),re&&(re.unactivate(),e.redrawHint("select",!0),e.touchData.start=null))),c=e.projectIntoViewport(t.touches[0].clientX,t.touches[0].clientY),s[0]=c[0],s[1]=c[1])}for(f=0;f<s.length;f++)l[f]=s[f];n&&t.touches.length>0&&!e.hoverData.draggingEles&&!e.swipePanning&&null!=e.data.bgActivePosistion&&(e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),e.redraw())}},!1),e.registerBinding(t,"touchcancel",H=function(t){var n=e.touchData.start;e.touchData.capture=!1,n&&n.unactivate()}),e.registerBinding(t,"touchend",q=function(t){var i=e.touchData.start;if(e.touchData.capture){0===t.touches.length&&(e.touchData.capture=!1),t.preventDefault();var a=e.selection;e.swipePanning=!1,e.hoverData.draggingEles=!1;var o,s=e.cy,l=s.zoom(),u=e.touchData.now,c=e.touchData.earlier;if(t.touches[0]){var h=e.projectIntoViewport(t.touches[0].clientX,t.touches[0].clientY);u[0]=h[0],u[1]=h[1]}if(t.touches[1]&&(h=e.projectIntoViewport(t.touches[1].clientX,t.touches[1].clientY),u[2]=h[0],u[3]=h[1]),t.touches[2]&&(h=e.projectIntoViewport(t.touches[2].clientX,t.touches[2].clientY),u[4]=h[0],u[5]=h[1]),i&&i.unactivate(),e.touchData.cxt){if(o={originalEvent:t,type:"cxttapend",position:{x:u[0],y:u[1]}},i?i.emit(o):s.emit(o),!e.touchData.cxtDragged){var d={originalEvent:t,type:"cxttap",position:{x:u[0],y:u[1]}};i?i.emit(d):s.emit(d)}return e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!1,e.touchData.start=null,void e.redraw()}if(!t.touches[2]&&s.boxSelectionEnabled()&&e.touchData.selecting){e.touchData.selecting=!1;var p=s.collection(e.getAllInBox(a[0],a[1],a[2],a[3]));a[0]=void 0,a[1]=void 0,a[2]=void 0,a[3]=void 0,a[4]=0,e.redrawHint("select",!0),s.emit({type:"boxend",originalEvent:t,position:{x:u[0],y:u[1]}});var g=function(e){return e.selectable()&&!e.selected()};p.emit("box").stdFilter(g).select().emit("boxselect"),p.nonempty()&&e.redrawHint("eles",!0),e.redraw()}if(null!=i&&i.unactivate(),t.touches[2])e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);else if(t.touches[1]);else if(t.touches[0]);else if(!t.touches[0]){e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var f=e.dragData.touchDragEles;if(null!=i){var y=i._private.grabbed;v(f),e.redrawHint("drag",!0),e.redrawHint("eles",!0),y&&(i.emit("freeon"),f.emit("free"),e.dragData.didDrag&&(i.emit("dragfreeon"),f.emit("dragfree"))),r(i,["touchend","tapend","vmouseup","tapdragout"],t,{x:u[0],y:u[1]}),i.unactivate(),e.touchData.start=null}else{var m=e.findNearestElement(u[0],u[1],!0,!0);r(m,["touchend","tapend","vmouseup","tapdragout"],t,{x:u[0],y:u[1]})}var b=e.touchData.startPosition[0]-u[0],x=b*b,w=e.touchData.startPosition[1]-u[1],E=(x+w*w)*l*l;e.touchData.singleTouchMoved||(i||s.$(":selected").unselect(["tapunselect"]),r(i,["tap","vclick"],t,{x:u[0],y:u[1]}),W=!1,t.timeStamp-K<=s.multiClickDebounceTime()?($&&clearTimeout($),W=!0,K=null,r(i,["dbltap","vdblclick"],t,{x:u[0],y:u[1]})):($=setTimeout((function(){W||r(i,["onetap","voneclick"],t,{x:u[0],y:u[1]})}),s.multiClickDebounceTime()),K=t.timeStamp)),null!=i&&!e.dragData.didDrag&&i._private.selectable&&E<e.touchTapThreshold2&&!e.pinching&&("single"===s.selectionType()?(s.$(n).unmerge(i).unselect(["tapunselect"]),i.select(["tapselect"])):i.selected()?i.unselect(["tapunselect"]):i.select(["tapselect"]),e.redrawHint("eles",!0)),e.touchData.singleTouchMoved=!0}for(var T=0;T<u.length;T++)c[T]=u[T];e.dragData.didDrag=!1,0===t.touches.length&&(e.touchData.dragDelta=[],e.touchData.startPosition=[null,null,null,null,null,null],e.touchData.startGPosition=null,e.touchData.didSelect=!1),t.touches.length<2&&(1===t.touches.length&&(e.touchData.startGPosition=[t.touches[0].clientX,t.touches[0].clientY]),e.pinching=!1,e.redrawHint("eles",!0),e.redraw())}},!1),"undefined"==typeof TouchEvent){var J=[],ee=function(e){return{clientX:e.clientX,clientY:e.clientY,force:1,identifier:e.pointerId,pageX:e.pageX,pageY:e.pageY,radiusX:e.width/2,radiusY:e.height/2,screenX:e.screenX,screenY:e.screenY,target:e.target}},te=function(e){return{event:e,touch:ee(e)}},ne=function(e){J.push(te(e))},re=function(e){for(var t=0;t<J.length;t++)if(J[t].event.pointerId===e.pointerId)return void J.splice(t,1)},ie=function(e){var t=J.filter((function(t){return t.event.pointerId===e.pointerId}))[0];t.event=e,t.touch=ee(e)},ae=function(e){e.touches=J.map((function(e){return e.touch}))},oe=function(e){return"mouse"===e.pointerType||4===e.pointerType};e.registerBinding(e.container,"pointerdown",(function(e){oe(e)||(e.preventDefault(),ne(e),ae(e),U(e))})),e.registerBinding(e.container,"pointerup",(function(e){oe(e)||(re(e),ae(e),q(e))})),e.registerBinding(e.container,"pointercancel",(function(e){oe(e)||(re(e),ae(e),H(e))})),e.registerBinding(e.container,"pointermove",(function(e){oe(e)||(e.preventDefault(),ie(e),ae(e),j(e))}))}}},bh={generatePolygon:function(e,t){return this.nodeShapes[e]={renderer:this,name:e,points:t,draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl("polygon",e,t,n,r,i,this.points)},intersectLine:function(e,t,n,r,i,a,o){return ar(i,a,this.points,e,t,n/2,r/2,o)},checkPoint:function(e,t,n,r,i,a,o){return Kn(e,t,this.points,a,o,r,i,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,r,i,a,o){return er(i,a,e,t,n/2+o,r/2+o)},checkPoint:function(e,t,n,r,i,a,o){return tr(e,t,r,i,a,o,n)}}},generateRoundPolygon:function(e,t){for(var n=new Array(2*t.length),r=0;r<t.length/2;r++){var i=2*r,a=void 0;a=r<t.length/2-1?2*(r+1):0,n[4*r]=t[i],n[4*r+1]=t[i+1];var o=t[a]-t[i],s=t[a+1]-t[i+1],l=Math.sqrt(o*o+s*s);n[4*r+2]=o/l,n[4*r+3]=s/l}return this.nodeShapes[e]={renderer:this,name:e,points:n,draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl("round-polygon",e,t,n,r,i,this.points)},intersectLine:function(e,t,n,r,i,a,o){return or(i,a,this.points,e,t,n,r)},checkPoint:function(e,t,n,r,i,a,o){return Zn(e,t,this.points,a,o,r,i)}}},generateRoundRectangle:function(){return this.nodeShapes["round-rectangle"]=this.nodeShapes.roundrectangle={renderer:this,name:"round-rectangle",points:lr(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,r,i,a,o){return Xn(i,a,e,t,n,r,o)},checkPoint:function(e,t,n,r,i,a,o){var s=hr(r,i),l=2*s;return!!(Kn(e,t,this.points,a,o,r,i-l,[0,-1],n)||Kn(e,t,this.points,a,o,r-l,i,[0,-1],n)||tr(e,t,l,l,a-r/2+s,o-i/2+s,n)||tr(e,t,l,l,a+r/2-s,o-i/2+s,n)||tr(e,t,l,l,a+r/2-s,o+i/2-s,n)||tr(e,t,l,l,a-r/2+s,o+i/2-s,n))}}},generateCutRectangle:function(){return this.nodeShapes["cut-rectangle"]=this.nodeShapes.cutrectangle={renderer:this,name:"cut-rectangle",cornerLength:pr(),points:lr(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},generateCutTrianglePts:function(e,t,n,r){var i=this.cornerLength,a=t/2,o=e/2,s=n-o,l=n+o,u=r-a,c=r+a;return{topLeft:[s,u+i,s+i,u,s+i,u+i],topRight:[l-i,u,l,u+i,l-i,u+i],bottomRight:[l,c-i,l-i,c,l-i,c-i],bottomLeft:[s+i,c,s,c-i,s+i,c-i]}},intersectLine:function(e,t,n,r,i,a,o){var s=this.generateCutTrianglePts(n+2*o,r+2*o,e,t),l=[].concat.apply([],[s.topLeft.splice(0,4),s.topRight.splice(0,4),s.bottomRight.splice(0,4),s.bottomLeft.splice(0,4)]);return ar(i,a,l,e,t)},checkPoint:function(e,t,n,r,i,a,o){if(Kn(e,t,this.points,a,o,r,i-2*this.cornerLength,[0,-1],n))return!0;if(Kn(e,t,this.points,a,o,r-2*this.cornerLength,i,[0,-1],n))return!0;var s=this.generateCutTrianglePts(r,i,a,o);return $n(e,t,s.topLeft)||$n(e,t,s.topRight)||$n(e,t,s.bottomRight)||$n(e,t,s.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:lr(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,r,i,a,o){var s=.15,l=.5,u=.85,c=this.generateBarrelBezierPts(n+2*o,r+2*o,e,t),h=function(e){var t=Cn({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},s),n=Cn({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},l),r=Cn({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},u);return[e[0],e[1],t.x,t.y,n.x,n.y,r.x,r.y,e[4],e[5]]},d=[].concat(h(c.topLeft),h(c.topRight),h(c.bottomRight),h(c.bottomLeft));return ar(i,a,d,e,t)},generateBarrelBezierPts:function(e,t,n,r){var i=t/2,a=e/2,o=n-a,s=n+a,l=r-i,u=r+i,c=fr(e,t),h=c.heightOffset,d=c.widthOffset,p=c.ctrlPtOffsetPct*e,g={topLeft:[o,l+h,o+p,l,o+d,l],topRight:[s-d,l,s-p,l,s,l+h],bottomRight:[s,u-h,s-p,u,s-d,u],bottomLeft:[o+d,u,o+p,u,o,u-h]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(e,t,n,r,i,a,o){var s=fr(r,i),l=s.heightOffset,u=s.widthOffset;if(Kn(e,t,this.points,a,o,r,i-2*l,[0,-1],n))return!0;if(Kn(e,t,this.points,a,o,r-2*u,i,[0,-1],n))return!0;for(var c=this.generateBarrelBezierPts(r,i,a,o),h=function(e,t,n){var r=n[4],i=n[2],a=n[0],o=n[5],s=n[1],l=Math.min(r,a),u=Math.max(r,a),c=Math.min(o,s),h=Math.max(o,s);if(l<=e&&e<=u&&c<=t&&t<=h){var d=gr(r,i,a),p=jn(d[0],d[1],d[2],e).filter((function(e){return 0<=e&&e<=1}));if(p.length>0)return p[0]}return null},d=Object.keys(c),p=0;p<d.length;p++){var g=c[d[p]],f=h(e,t,g);if(null!=f){var v=g[5],y=g[3],m=g[1],b=Dn(v,y,m,f);if(g.isTop&&b<=t)return!0;if(g.isBottom&&t<=b)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes["bottom-round-rectangle"]=this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottom-round-rectangle",points:lr(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,r,i,a,o){var s=t-(r/2+o),l=ir(i,a,e,t,e-(n/2+o),s,e+(n/2+o),s,!1);return l.length>0?l:Xn(i,a,e,t,n,r,o)},checkPoint:function(e,t,n,r,i,a,o){var s=hr(r,i),l=2*s;if(Kn(e,t,this.points,a,o,r,i-l,[0,-1],n))return!0;if(Kn(e,t,this.points,a,o,r-l,i,[0,-1],n))return!0;var u=r/2+2*n,c=i/2+2*n;return!!$n(e,t,[a-u,o-c,a-u,o,a+u,o,a+u,o-c])||!!tr(e,t,l,l,a+r/2-s,o+i/2-s,n)||!!tr(e,t,l,l,a-r/2+s,o+i/2-s,n)}}},registerNodeShapes:function(){var e=this.nodeShapes={},t=this;this.generateEllipse(),this.generatePolygon("triangle",lr(3,0)),this.generateRoundPolygon("round-triangle",lr(3,0)),this.generatePolygon("rectangle",lr(4,0)),e.square=e.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle();var n=[0,1,1,0,0,-1,-1,0];this.generatePolygon("diamond",n),this.generateRoundPolygon("round-diamond",n),this.generatePolygon("pentagon",lr(5,0)),this.generateRoundPolygon("round-pentagon",lr(5,0)),this.generatePolygon("hexagon",lr(6,0)),this.generateRoundPolygon("round-hexagon",lr(6,0)),this.generatePolygon("heptagon",lr(7,0)),this.generateRoundPolygon("round-heptagon",lr(7,0)),this.generatePolygon("octagon",lr(8,0)),this.generateRoundPolygon("round-octagon",lr(8,0));var r=new Array(20),i=cr(5,0),a=cr(5,Math.PI/5),o=.5*(3-Math.sqrt(5));o*=1.57;for(var s=0;s<a.length/2;s++)a[2*s]*=o,a[2*s+1]*=o;for(s=0;s<5;s++)r[4*s]=i[2*s],r[4*s+1]=i[2*s+1],r[4*s+2]=a[2*s],r[4*s+3]=a[2*s+1];r=ur(r),this.generatePolygon("star",r),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.generatePolygon("right-rhomboid",[-.333,-1,1,-1,.333,1,-1,1]),this.nodeShapes.concavehexagon=this.generatePolygon("concave-hexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]);var l=[-1,-1,.25,-1,1,0,.25,1,-1,1];this.generatePolygon("tag",l),this.generateRoundPolygon("round-tag",l),e.makePolygon=function(e){var n,r="polygon-"+e.join("$");return(n=this[r])?n:t.generatePolygon(r,e)}}},xh={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(e){e=e||It();var t=this;void 0===t.averageRedrawTime&&(t.averageRedrawTime=0),void 0===t.lastRedrawTime&&(t.lastRedrawTime=0),void 0===t.lastDrawTime&&(t.lastDrawTime=0),t.requestedFrame=!0,t.renderOptions=e},beforeRender:function(e,t){if(!this.destroyed){null==t&&Dt("Priority is not optional for beforeRender");var n=this.beforeRenderCallbacks;n.push({fn:e,priority:t}),n.sort((function(e,t){return t.priority-e.priority}))}}},wh=function(e,t,n){for(var r=e.beforeRenderCallbacks,i=0;i<r.length;i++)r[i].fn(t,n)};xh.startRenderLoop=function(){var e=this,t=e.cy;if(!e.renderLoopStarted){e.renderLoopStarted=!0;var n=function n(r){if(!e.destroyed){if(t.batching());else if(e.requestedFrame&&!e.skipFrame){wh(e,!0,r);var i=rt();e.render(e.renderOptions);var a=e.lastDrawTime=rt();void 0===e.averageRedrawTime&&(e.averageRedrawTime=a-i),void 0===e.redrawCount&&(e.redrawCount=0),e.redrawCount++,void 0===e.redrawTotalTime&&(e.redrawTotalTime=0);var o=a-i;e.redrawTotalTime+=o,e.lastRedrawTime=o,e.averageRedrawTime=e.averageRedrawTime/2+o/2,e.requestedFrame=!1}else wh(e,!1,r);e.skipFrame=!1,nt(n)}};nt(n)}};var Eh=function(e){this.init(e)},Th=Eh.prototype;Th.clientFunctions=["redrawHint","render","renderTo","matchCanvasSize","nodeShapeImpl","arrowShapeImpl"],Th.init=function(e){var t=this;t.options=e,t.cy=e.cy;var n=t.container=e.cy.container(),r=t.cy.window();if(r){var i=r.document,a=i.head,o="__________cytoscape_stylesheet",s="__________cytoscape_container",l=null!=i.getElementById(o);if(n.className.indexOf(s)<0&&(n.className=(n.className||"")+" "+s),!l){var u=i.createElement("style");u.id=o,u.textContent="."+s+" { position: relative; }",a.insertBefore(u,a.children[0])}"static"===r.getComputedStyle(n).getPropertyValue("position")&&Nt("A Cytoscape container has style position:static and so can not use UI extensions properly")}t.selection=[void 0,void 0,void 0,void 0,0],t.bezierProjPcts=[.05,.225,.4,.5,.6,.775,.95],t.hoverData={down:null,last:null,downTime:null,triggerMode:null,dragging:!1,initialPan:[null,null],capture:!1},t.dragData={possibleDragElements:[]},t.touchData={start:null,capture:!1,startPosition:[null,null,null,null,null,null],singleTouchStartTime:null,singleTouchMoved:!0,now:[null,null,null,null,null,null],earlier:[null,null,null,null,null,null]},t.redraws=0,t.showFps=e.showFps,t.debug=e.debug,t.hideEdgesOnViewport=e.hideEdgesOnViewport,t.textureOnViewport=e.textureOnViewport,t.wheelSensitivity=e.wheelSensitivity,t.motionBlurEnabled=e.motionBlur,t.forcedPixelRatio=_(e.pixelRatio)?e.pixelRatio:null,t.motionBlur=e.motionBlur,t.motionBlurOpacity=e.motionBlurOpacity,t.motionBlurTransparency=1-t.motionBlurOpacity,t.motionBlurPxRatio=1,t.mbPxRBlurry=1,t.minMbLowQualFrames=4,t.fullQualityMb=!1,t.clearedForMotionBlur=[],t.desktopTapThreshold=e.desktopTapThreshold,t.desktopTapThreshold2=e.desktopTapThreshold*e.desktopTapThreshold,t.touchTapThreshold=e.touchTapThreshold,t.touchTapThreshold2=e.touchTapThreshold*e.touchTapThreshold,t.tapholdDuration=500,t.bindings=[],t.beforeRenderCallbacks=[],t.beforeRenderPriorities={animations:400,eleCalcs:300,eleTxrDeq:200,lyrTxrDeq:150,lyrTxrSkip:100},t.registerNodeShapes(),t.registerArrowShapes(),t.registerCalculationListeners()},Th.notify=function(e,t){var n=this,r=n.cy;this.destroyed||("init"!==e?"destroy"!==e?(("add"===e||"remove"===e||"move"===e&&r.hasCompoundNodes()||"load"===e||"zorder"===e||"mount"===e)&&n.invalidateCachedZSortedEles(),"viewport"===e&&n.redrawHint("select",!0),"load"!==e&&"resize"!==e&&"mount"!==e||(n.invalidateContainerClientCoordsCache(),n.matchCanvasSize(n.container)),n.redrawHint("eles",!0),n.redrawHint("drag",!0),this.startRenderLoop(),this.redraw()):n.destroy():n.load())},Th.destroy=function(){var e=this;e.destroyed=!0,e.cy.stopAnimationLoop();for(var t=0;t<e.bindings.length;t++){var n=e.bindings[t],r=n.target;(r.off||r.removeEventListener).apply(r,n.args)}if(e.bindings=[],e.beforeRenderCallbacks=[],e.onUpdateEleCalcsFns=[],e.removeObserver&&e.removeObserver.disconnect(),e.styleObserver&&e.styleObserver.disconnect(),e.resizeObserver&&e.resizeObserver.disconnect(),e.labelCalcDiv)try{document.body.removeChild(e.labelCalcDiv)}catch(i){}},Th.isHeadless=function(){return!1},[Jc,vh,yh,mh,bh,xh].forEach((function(e){Q(Th,e)}));var _h=1e3/60,Dh={setupDequeueing:function(e){return function(){var t=this,n=this.renderer;if(!t.dequeueingSetup){t.dequeueingSetup=!0;var r=Qe((function(){n.redrawHint("eles",!0),n.redrawHint("drag",!0),n.redraw()}),e.deqRedrawThreshold),i=function(i,a){var o=rt(),s=n.averageRedrawTime,l=n.lastRedrawTime,u=[],c=n.cy.extent(),h=n.getPixelRatio();for(i||n.flushRenderedStyleQueue();;){var d=rt(),p=d-o,g=d-a;if(l<_h){var f=_h-(i?s:0);if(g>=e.deqFastCost*f)break}else if(i){if(p>=e.deqCost*l||p>=e.deqAvgCost*s)break}else if(g>=e.deqNoDrawCost*_h)break;var v=e.deq(t,h,c);if(!(v.length>0))break;for(var y=0;y<v.length;y++)u.push(v[y])}u.length>0&&(e.onDeqd(t,u),!i&&e.shouldRedraw(t,u,h,c)&&r())},a=e.priority||_t;n.beforeRender(i,a(t))}}}},Ch=function(){function e(n){var r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:Et;t(this,e),this.idsByKey=new Yt,this.keyForId=new Yt,this.cachesByLvl=new Yt,this.lvls=[],this.getKey=n,this.doesEleInvalidateKey=r}return i(e,[{key:"getIdsFor",value:function(e){null==e&&Dt("Can not get id list for null key");var t=this.idsByKey,n=this.idsByKey.get(e);return n||(n=new Ut,t.set(e,n)),n}},{key:"addIdForKey",value:function(e,t){null!=e&&this.getIdsFor(e).add(t)}},{key:"deleteIdForKey",value:function(e,t){null!=e&&this.getIdsFor(e).delete(t)}},{key:"getNumberOfIdsForKey",value:function(e){return null==e?0:this.getIdsFor(e).size}},{key:"updateKeyMappingFor",value:function(e){var t=e.id(),n=this.keyForId.get(t),r=this.getKey(e);this.deleteIdForKey(n,t),this.addIdForKey(r,t),this.keyForId.set(t,r)}},{key:"deleteKeyMappingFor",value:function(e){var t=e.id(),n=this.keyForId.get(t);this.deleteIdForKey(n,t),this.keyForId.delete(t)}},{key:"keyHasChangedFor",value:function(e){var t=e.id();return this.keyForId.get(t)!==this.getKey(e)}},{key:"isInvalid",value:function(e){return this.keyHasChangedFor(e)||this.doesEleInvalidateKey(e)}},{key:"getCachesAt",value:function(e){var t=this.cachesByLvl,n=this.lvls,r=t.get(e);return r||(r=new Yt,t.set(e,r),n.push(e)),r}},{key:"getCache",value:function(e,t){return this.getCachesAt(t).get(e)}},{key:"get",value:function(e,t){var n=this.getKey(e),r=this.getCache(n,t);return null!=r&&this.updateKeyMappingFor(e),r}},{key:"getForCachedKey",value:function(e,t){var n=this.keyForId.get(e.id());return this.getCache(n,t)}},{key:"hasCache",value:function(e,t){return this.getCachesAt(t).has(e)}},{key:"has",value:function(e,t){var n=this.getKey(e);return this.hasCache(n,t)}},{key:"setCache",value:function(e,t,n){n.key=e,this.getCachesAt(t).set(e,n)}},{key:"set",value:function(e,t,n){var r=this.getKey(e);this.setCache(r,t,n),this.updateKeyMappingFor(e)}},{key:"deleteCache",value:function(e,t){this.getCachesAt(t).delete(e)}},{key:"delete",value:function(e,t){var n=this.getKey(e);this.deleteCache(n,t)}},{key:"invalidateKey",value:function(e){var t=this;this.lvls.forEach((function(n){return t.deleteCache(e,n)}))}},{key:"invalidate",value:function(e){var t=e.id(),n=this.keyForId.get(t);this.deleteKeyMappingFor(e);var r=this.doesEleInvalidateKey(e);return r&&this.invalidateKey(n),r||0===this.getNumberOfIdsForKey(n)}}]),e}(),Nh=25,Ah=50,Lh=-4,Sh=3,Oh=7.99,kh=8,Ih=1024,Mh=1024,Ph=1024,Rh=.2,Bh=.8,Fh=10,zh=.15,Gh=.1,Yh=.9,Xh=.9,Vh=100,Uh=1,jh={dequeue:"dequeue",downscale:"downscale",highQuality:"highQuality"},Hh=Mt({getKey:null,doesEleInvalidateKey:Et,drawElement:null,getBoundingBox:null,getRotationPoint:null,getRotationOffset:null,isVisible:wt,allowEdgeTxrCaching:!0,allowParentTxrCaching:!0}),qh=function(e,t){var n=this;n.renderer=e,n.onDequeues=[];var r=Hh(t);Q(n,r),n.lookup=new Ch(r.getKey,r.doesEleInvalidateKey),n.setupDequeueing()},Wh=qh.prototype;Wh.reasons=jh,Wh.getTextureQueue=function(e){var t=this;return t.eleImgCaches=t.eleImgCaches||{},t.eleImgCaches[e]=t.eleImgCaches[e]||[]},Wh.getRetiredTextureQueue=function(e){var t=this,n=t.eleImgCaches.retired=t.eleImgCaches.retired||{};return n[e]=n[e]||[]},Wh.getElementQueue=function(){var e=this;return e.eleCacheQueue=e.eleCacheQueue||new $t((function(e,t){return t.reqs-e.reqs}))},Wh.getElementKeyToQueue=function(){var e=this;return e.eleKeyToCacheQueue=e.eleKeyToCacheQueue||{}},Wh.getElement=function(e,t,n,r,i){var a=this,o=this.renderer,s=o.cy.zoom(),l=this.lookup;if(!t||0===t.w||0===t.h||isNaN(t.w)||isNaN(t.h)||!e.visible()||e.removed())return null;if(!a.allowEdgeTxrCaching&&e.isEdge()||!a.allowParentTxrCaching&&e.isParent())return null;if(null==r&&(r=Math.ceil(xn(s*n))),r<Lh)r=Lh;else if(s>=Oh||r>Sh)return null;var u=Math.pow(2,r),c=t.h*u,h=t.w*u,d=o.eleTextBiggerThanMin(e,u);if(!this.isVisible(e,d))return null;var p,g=l.get(e,r);if(g&&g.invalidated&&(g.invalidated=!1,g.texture.invalidatedWidth-=g.width),g)return g;if(p=c<=Nh?Nh:c<=Ah?Ah:Math.ceil(c/Ah)*Ah,c>Ph||h>Mh)return null;var f=a.getTextureQueue(p),v=f[f.length-2],y=function(){return a.recycleTexture(p,h)||a.addTexture(p,h)};v||(v=f[f.length-1]),v||(v=y()),v.width-v.usedWidth<h&&(v=y());for(var m,b=function(e){return e&&e.scaledLabelShown===d},x=i&&i===jh.dequeue,w=i&&i===jh.highQuality,E=i&&i===jh.downscale,T=r+1;T<=Sh;T++){var _=l.get(e,T);if(_){m=_;break}}var D=m&&m.level===r+1?m:null,C=function(){v.context.drawImage(D.texture.canvas,D.x,0,D.width,D.height,v.usedWidth,0,h,c)};if(v.context.setTransform(1,0,0,1,0,0),v.context.clearRect(v.usedWidth,0,h,p),b(D))C();else if(b(m)){if(!w)return a.queueElement(e,m.level-1),m;for(var N=m.level;N>r;N--)D=a.getElement(e,t,n,N,jh.downscale);C()}else{var A;if(!x&&!w&&!E)for(var L=r-1;L>=Lh;L--){var S=l.get(e,L);if(S){A=S;break}}if(b(A))return a.queueElement(e,r),A;v.context.translate(v.usedWidth,0),v.context.scale(u,u),this.drawElement(v.context,e,t,d,!1),v.context.scale(1/u,1/u),v.context.translate(-v.usedWidth,0)}return g={x:v.usedWidth,texture:v,level:r,scale:u,width:h,height:c,scaledLabelShown:d},v.usedWidth+=Math.ceil(h+kh),v.eleCaches.push(g),l.set(e,r,g),a.checkTextureFullness(v),g},Wh.invalidateElements=function(e){for(var 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n.getTextureQueue(e).push(r),r.eleCaches=[],r.height=e,r.width=Math.max(Ih,t),r.usedWidth=0,r.invalidatedWidth=0,r.fullnessChecks=0,r.canvas=n.renderer.makeOffscreenCanvas(r.width,r.height),r.context=r.canvas.getContext("2d"),r},Wh.recycleTexture=function(e,t){for(var n=this,r=n.getTextureQueue(e),i=n.getRetiredTextureQueue(e),a=0;a<i.length;a++){var o=i[a];if(o.width>=t)return o.retired=!1,o.usedWidth=0,o.invalidatedWidth=0,o.fullnessChecks=0,Rt(o.eleCaches),o.context.setTransform(1,0,0,1,0,0),o.context.clearRect(0,0,o.width,o.height),Pt(i,o),r.push(o),o}},Wh.queueElement=function(e,t){var n=this,r=n.getElementQueue(),i=n.getElementKeyToQueue(),a=this.getKey(e),o=i[a];if(o)o.level=Math.max(o.level,t),o.eles.merge(e),o.reqs++,r.updateItem(o);else{var s={eles:e.spawn().merge(e),level:t,reqs:1,key:a};r.push(s),i[a]=s}},Wh.dequeue=function(e){for(var t=this,n=t.getElementQueue(),r=t.getElementKeyToQueue(),i=[],a=t.lookup,o=0;o<Uh&&n.size()>0;o++){var 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i=this,a=i.data.lyrTxrCache.getLayers(t,n);if(a)for(var o=0;o<a.length;o++){var s=a[o],l=s.bb;0!==l.w&&0!==l.h&&e.drawImage(s.canvas,l.x1,l.y1,l.w,l.h)}else i.drawCachedElements(e,t,n,r)};var Nd={drawEdge:function(e,t,n){var r=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=!(arguments.length>4&&void 0!==arguments[4])||arguments[4],a=!(arguments.length>5&&void 0!==arguments[5])||arguments[5],o=this,s=t._private.rscratch;if((!a||t.visible())&&!s.badLine&&null!=s.allpts&&!isNaN(s.allpts[0])){var l;n&&(l=n,e.translate(-l.x1,-l.y1));var u=a?t.pstyle("opacity").value:1,c=a?t.pstyle("line-opacity").value:1,h=t.pstyle("curve-style").value,d=t.pstyle("line-style").value,p=t.pstyle("width").pfValue,g=t.pstyle("line-cap").value,f=u*c,v=u*c,y=function(){var n=arguments.length>0&&void 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i=this,a=i.usePaths(),o=n._private.rscratch,s=2*n.pstyle("".concat(e,"-padding")).pfValue,l=n.pstyle("".concat(e,"-color")).value;t.lineWidth=s,"self"!==o.edgeType||a?t.lineCap="round":t.lineCap="butt",i.colorStrokeStyle(t,l[0],l[1],l[2],r),i.drawEdgePath(n,t,o.allpts,"solid")}}}};Nd.drawEdgeOverlay=Ad("overlay"),Nd.drawEdgeUnderlay=Ad("underlay"),Nd.drawEdgePath=function(e,t,n,r){var i,a=e._private.rscratch,o=t,s=!1,l=this.usePaths(),u=e.pstyle("line-dash-pattern").pfValue,c=e.pstyle("line-dash-offset").pfValue;if(l){var h=n.join("$");a.pathCacheKey&&a.pathCacheKey===h?(i=t=a.pathCache,s=!0):(i=t=new Path2D,a.pathCacheKey=h,a.pathCache=i)}if(o.setLineDash)switch(r){case"dotted":o.setLineDash([1,1]);break;case"dashed":o.setLineDash(u),o.lineDashOffset=c;break;case"solid":o.setLineDash([])}if(!s&&!a.badLine)switch(t.beginPath&&t.beginPath(),t.moveTo(n[0],n[1]),a.edgeType){case"bezier":case"self":case"compound":case"multibezier":for(var d=2;d+3<n.length;d+=4)t.quadraticCurveTo(n[d],n[d+1],n[d+2],n[d+3]);break;case"straight":case"segments":case"haystack":for(var p=2;p+1<n.length;p+=2)t.lineTo(n[p],n[p+1])}t=o,l?t.stroke(i):t.stroke(),t.setLineDash&&t.setLineDash([])},Nd.drawEdgeTrianglePath=function(e,t,n){t.fillStyle=t.strokeStyle;for(var r=e.pstyle("width").pfValue,i=0;i+1<n.length;i+=2){var a=[n[i+2]-n[i],n[i+3]-n[i+1]],o=Math.sqrt(a[0]*a[0]+a[1]*a[1]),s=[a[1]/o,-a[0]/o],l=[s[0]*r/2,s[1]*r/2];t.beginPath(),t.moveTo(n[i]-l[0],n[i+1]-l[1]),t.lineTo(n[i]+l[0],n[i+1]+l[1]),t.lineTo(n[i+2],n[i+3]),t.closePath(),t.fill()}},Nd.drawArrowheads=function(e,t,n){var 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this.rect.y+this.rect.height},u.prototype.getParent=function(){return null==this.owner?null:this.owner.getParent()},e.exports=u},function(e,t,n){"use strict";function r(e,t){null==e&&null==t?(this.x=0,this.y=0):(this.x=e,this.y=t)}r.prototype.getX=function(){return this.x},r.prototype.getY=function(){return this.y},r.prototype.setX=function(e){this.x=e},r.prototype.setY=function(e){this.y=e},r.prototype.getDifference=function(e){return new DimensionD(this.x-e.x,this.y-e.y)},r.prototype.getCopy=function(){return new r(this.x,this.y)},r.prototype.translate=function(e){return this.x+=e.width,this.y+=e.height,this},e.exports=r},function(e,t,n){"use strict";var r=n(2),i=n(10),a=n(0),o=n(6),s=n(3),l=n(1),u=n(13),c=n(12),h=n(11);function d(e,t,n){r.call(this,n),this.estimatedSize=i.MIN_VALUE,this.margin=a.DEFAULT_GRAPH_MARGIN,this.edges=[],this.nodes=[],this.isConnected=!1,this.parent=e,null!=t&&t instanceof o?this.graphManager=t:null!=t&&t instanceof 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graph!";return t.owner!=n.owner?null:(i.source=t,i.target=n,i.isInterGraph=!1,this.getEdges().push(i),t.edges.push(i),n!=t&&n.edges.push(i),i)},d.prototype.remove=function(e){var t=e;if(e instanceof s){if(null==t)throw"Node is null!";if(null==t.owner||t.owner!=this)throw"Owner graph is invalid!";if(null==this.graphManager)throw"Owner graph manager is invalid!";for(var n=t.edges.slice(),r=n.length,i=0;i<r;i++)(a=n[i]).isInterGraph?this.graphManager.remove(a):a.source.owner.remove(a);if(-1==(o=this.nodes.indexOf(t)))throw"Node not in owner node list!";this.nodes.splice(o,1)}else if(e instanceof l){var a;if(null==(a=e))throw"Edge is null!";if(null==a.source||null==a.target)throw"Source and/or target is null!";if(null==a.source.owner||null==a.target.owner||a.source.owner!=this||a.target.owner!=this)throw"Source and/or target owner is invalid!";var o,u=a.source.edges.indexOf(a),c=a.target.edges.indexOf(a);if(!(u>-1&&c>-1))throw"Source and/or target doesn't know this edge!";if(a.source.edges.splice(u,1),a.target!=a.source&&a.target.edges.splice(c,1),-1==(o=a.source.owner.getEdges().indexOf(a)))throw"Not in owner's edge list!";a.source.owner.getEdges().splice(o,1)}},d.prototype.updateLeftTop=function(){for(var e,t,n,r=i.MAX_VALUE,a=i.MAX_VALUE,o=this.getNodes(),s=o.length,l=0;l<s;l++){var u=o[l];r>(e=u.getTop())&&(r=e),a>(t=u.getLeft())&&(a=t)}return r==i.MAX_VALUE?null:(n=null!=o[0].getParent().paddingLeft?o[0].getParent().paddingLeft:this.margin,this.left=a-n,this.top=r-n,new c(this.left,this.top))},d.prototype.updateBounds=function(e){for(var t,n,r,a,o,s=i.MAX_VALUE,l=-i.MAX_VALUE,c=i.MAX_VALUE,h=-i.MAX_VALUE,d=this.nodes,p=d.length,g=0;g<p;g++){var f=d[g];e&&null!=f.child&&f.updateBounds(),s>(t=f.getLeft())&&(s=t),l<(n=f.getRight())&&(l=n),c>(r=f.getTop())&&(c=r),h<(a=f.getBottom())&&(h=a)}var v=new u(s,c,l-s,h-c);s==i.MAX_VALUE&&(this.left=this.parent.getLeft(),this.right=this.parent.getRight(),this.top=this.parent.getTop(),this.bottom=this.parent.getBottom()),o=null!=d[0].getParent().paddingLeft?d[0].getParent().paddingLeft:this.margin,this.left=v.x-o,this.right=v.x+v.width+o,this.top=v.y-o,this.bottom=v.y+v.height+o},d.calculateBounds=function(e){for(var t,n,r,a,o=i.MAX_VALUE,s=-i.MAX_VALUE,l=i.MAX_VALUE,c=-i.MAX_VALUE,h=e.length,d=0;d<h;d++){var p=e[d];o>(t=p.getLeft())&&(o=t),s<(n=p.getRight())&&(s=n),l>(r=p.getTop())&&(l=r),c<(a=p.getBottom())&&(c=a)}return new u(o,l,s-o,c-l)},d.prototype.getInclusionTreeDepth=function(){return this==this.graphManager.getRoot()?1:this.parent.getInclusionTreeDepth()},d.prototype.getEstimatedSize=function(){if(this.estimatedSize==i.MIN_VALUE)throw"assert failed";return this.estimatedSize},d.prototype.calcEstimatedSize=function(){for(var e=0,t=this.nodes,n=t.length,r=0;r<n;r++)e+=t[r].calcEstimatedSize();return this.estimatedSize=0==e?a.EMPTY_COMPOUND_NODE_SIZE:e/Math.sqrt(this.nodes.length),this.estimatedSize},d.prototype.updateConnected=function(){var e=this;if(0!=this.nodes.length){var t,n,r=new h,i=new Set,a=this.nodes[0];for(a.withChildren().forEach((function(e){r.push(e),i.add(e)}));0!==r.length;)for(var o=(t=(a=r.shift()).getEdges()).length,s=0;s<o;s++)null==(n=t[s].getOtherEndInGraph(a,this))||i.has(n)||n.withChildren().forEach((function(e){r.push(e),i.add(e)}));if(this.isConnected=!1,i.size>=this.nodes.length){var l=0;i.forEach((function(t){t.owner==e&&l++})),l==this.nodes.length&&(this.isConnected=!0)}}else this.isConnected=!0},e.exports=d},function(e,t,n){"use strict";var r,i=n(1);function a(e){r=n(5),this.layout=e,this.graphs=[],this.edges=[]}a.prototype.addRoot=function(){var e=this.layout.newGraph(),t=this.layout.newNode(null),n=this.add(e,t);return this.setRootGraph(n),this.rootGraph},a.prototype.add=function(e,t,n,r,i){if(null==n&&null==r&&null==i){if(null==e)throw"Graph is null!";if(null==t)throw"Parent node is null!";if(this.graphs.indexOf(e)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(e),null!=e.parent)throw"Already has a parent!";if(null!=t.child)throw"Already has a child!";return e.parent=t,t.child=e,e}i=n,n=e;var a=(r=t).getOwner(),o=i.getOwner();if(null==a||a.getGraphManager()!=this)throw"Source not in this graph mgr!";if(null==o||o.getGraphManager()!=this)throw"Target not in this graph mgr!";if(a==o)return n.isInterGraph=!1,a.add(n,r,i);if(n.isInterGraph=!0,n.source=r,n.target=i,this.edges.indexOf(n)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(n),null==n.source||null==n.target)throw"Edge source and/or target is null!";if(-1!=n.source.edges.indexOf(n)||-1!=n.target.edges.indexOf(n))throw"Edge already in source and/or target incidency list!";return n.source.edges.push(n),n.target.edges.push(n),n},a.prototype.remove=function(e){if(e instanceof r){var t=e;if(t.getGraphManager()!=this)throw"Graph not in this graph mgr";if(t!=this.rootGraph&&(null==t.parent||t.parent.graphManager!=this))throw"Invalid parent node!";for(var n,a=[],o=(a=a.concat(t.getEdges())).length,s=0;s<o;s++)n=a[s],t.remove(n);var l,u=[];for(o=(u=u.concat(t.getNodes())).length,s=0;s<o;s++)l=u[s],t.remove(l);t==this.rootGraph&&this.setRootGraph(null);var c=this.graphs.indexOf(t);this.graphs.splice(c,1),t.parent=null}else if(e instanceof i){if(null==(n=e))throw"Edge is null!";if(!n.isInterGraph)throw"Not an inter-graph edge!";if(null==n.source||null==n.target)throw"Source and/or target is null!";if(-1==n.source.edges.indexOf(n)||-1==n.target.edges.indexOf(n))throw"Source and/or target doesn't know this edge!";if(c=n.source.edges.indexOf(n),n.source.edges.splice(c,1),c=n.target.edges.indexOf(n),n.target.edges.splice(c,1),null==n.source.owner||null==n.source.owner.getGraphManager())throw"Edge owner graph or owner graph manager is null!";if(-1==n.source.owner.getGraphManager().edges.indexOf(n))throw"Not in owner graph manager's edge list!";c=n.source.owner.getGraphManager().edges.indexOf(n),n.source.owner.getGraphManager().edges.splice(c,1)}},a.prototype.updateBounds=function(){this.rootGraph.updateBounds(!0)},a.prototype.getGraphs=function(){return this.graphs},a.prototype.getAllNodes=function(){if(null==this.allNodes){for(var e=[],t=this.getGraphs(),n=t.length,r=0;r<n;r++)e=e.concat(t[r].getNodes());this.allNodes=e}return this.allNodes},a.prototype.resetAllNodes=function(){this.allNodes=null},a.prototype.resetAllEdges=function(){this.allEdges=null},a.prototype.resetAllNodesToApplyGravitation=function(){this.allNodesToApplyGravitation=null},a.prototype.getAllEdges=function(){if(null==this.allEdges){for(var e=[],t=this.getGraphs(),n=(t.length,0);n<t.length;n++)e=e.concat(t[n].getEdges());e=e.concat(this.edges),this.allEdges=e}return this.allEdges},a.prototype.getAllNodesToApplyGravitation=function(){return this.allNodesToApplyGravitation},a.prototype.setAllNodesToApplyGravitation=function(e){if(null!=this.allNodesToApplyGravitation)throw"assert failed";this.allNodesToApplyGravitation=e},a.prototype.getRoot=function(){return this.rootGraph},a.prototype.setRootGraph=function(e){if(e.getGraphManager()!=this)throw"Root not in this graph mgr!";this.rootGraph=e,null==e.parent&&(e.parent=this.layout.newNode("Root node"))},a.prototype.getLayout=function(){return this.layout},a.prototype.isOneAncestorOfOther=function(e,t){if(null==e||null==t)throw"assert failed";if(e==t)return!0;for(var n,r=e.getOwner();null!=(n=r.getParent());){if(n==t)return!0;if(null==(r=n.getOwner()))break}for(r=t.getOwner();null!=(n=r.getParent());){if(n==e)return!0;if(null==(r=n.getOwner()))break}return!1},a.prototype.calcLowestCommonAncestors=function(){for(var e,t,n,r,i,a=this.getAllEdges(),o=a.length,s=0;s<o;s++)if(t=(e=a[s]).source,n=e.target,e.lca=null,e.sourceInLca=t,e.targetInLca=n,t!=n){for(r=t.getOwner();null==e.lca;){for(e.targetInLca=n,i=n.getOwner();null==e.lca;){if(i==r){e.lca=i;break}if(i==this.rootGraph)break;if(null!=e.lca)throw"assert failed";e.targetInLca=i.getParent(),i=e.targetInLca.getOwner()}if(r==this.rootGraph)break;null==e.lca&&(e.sourceInLca=r.getParent(),r=e.sourceInLca.getOwner())}if(null==e.lca)throw"assert failed"}else e.lca=t.getOwner()},a.prototype.calcLowestCommonAncestor=function(e,t){if(e==t)return e.getOwner();for(var n=e.getOwner();null!=n;){for(var r=t.getOwner();null!=r;){if(r==n)return r;r=r.getParent().getOwner()}n=n.getParent().getOwner()}return n},a.prototype.calcInclusionTreeDepths=function(e,t){var n;null==e&&null==t&&(e=this.rootGraph,t=1);for(var r=e.getNodes(),i=r.length,a=0;a<i;a++)(n=r[a]).inclusionTreeDepth=t,null!=n.child&&this.calcInclusionTreeDepths(n.child,t+1)},a.prototype.includesInvalidEdge=function(){for(var e,t=this.edges.length,n=0;n<t;n++)if(e=this.edges[n],this.isOneAncestorOfOther(e.source,e.target))return!0;return!1},e.exports=a},function(e,t,n){"use strict";var r=n(0);function i(){}for(var a in r)i[a]=r[a];i.MAX_ITERATIONS=2500,i.DEFAULT_EDGE_LENGTH=50,i.DEFAULT_SPRING_STRENGTH=.45,i.DEFAULT_REPULSION_STRENGTH=4500,i.DEFAULT_GRAVITY_STRENGTH=.4,i.DEFAULT_COMPOUND_GRAVITY_STRENGTH=1,i.DEFAULT_GRAVITY_RANGE_FACTOR=3.8,i.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=1.5,i.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION=!0,i.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION=!0,i.DEFAULT_COOLING_FACTOR_INCREMENTAL=.3,i.COOLING_ADAPTATION_FACTOR=.33,i.ADAPTATION_LOWER_NODE_LIMIT=1e3,i.ADAPTATION_UPPER_NODE_LIMIT=5e3,i.MAX_NODE_DISPLACEMENT_INCREMENTAL=100,i.MAX_NODE_DISPLACEMENT=3*i.MAX_NODE_DISPLACEMENT_INCREMENTAL,i.MIN_REPULSION_DIST=i.DEFAULT_EDGE_LENGTH/10,i.CONVERGENCE_CHECK_PERIOD=100,i.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=.1,i.MIN_EDGE_LENGTH=1,i.GRID_CALCULATION_CHECK_PERIOD=10,e.exports=i},function(e,t,n){"use strict";var r=n(12);function i(){}i.calcSeparationAmount=function(e,t,n,r){if(!e.intersects(t))throw"assert failed";var i=new 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i(e,t){this.lworldOrgX=0,this.lworldOrgY=0,this.ldeviceOrgX=0,this.ldeviceOrgY=0,this.lworldExtX=1,this.lworldExtY=1,this.ldeviceExtX=1,this.ldeviceExtY=1}i.prototype.getWorldOrgX=function(){return this.lworldOrgX},i.prototype.setWorldOrgX=function(e){this.lworldOrgX=e},i.prototype.getWorldOrgY=function(){return this.lworldOrgY},i.prototype.setWorldOrgY=function(e){this.lworldOrgY=e},i.prototype.getWorldExtX=function(){return this.lworldExtX},i.prototype.setWorldExtX=function(e){this.lworldExtX=e},i.prototype.getWorldExtY=function(){return this.lworldExtY},i.prototype.setWorldExtY=function(e){this.lworldExtY=e},i.prototype.getDeviceOrgX=function(){return this.ldeviceOrgX},i.prototype.setDeviceOrgX=function(e){this.ldeviceOrgX=e},i.prototype.getDeviceOrgY=function(){return this.ldeviceOrgY},i.prototype.setDeviceOrgY=function(e){this.ldeviceOrgY=e},i.prototype.getDeviceExtX=function(){return 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l(){r.call(this),this.useSmartIdealEdgeLengthCalculation=i.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION,this.idealEdgeLength=i.DEFAULT_EDGE_LENGTH,this.springConstant=i.DEFAULT_SPRING_STRENGTH,this.repulsionConstant=i.DEFAULT_REPULSION_STRENGTH,this.gravityConstant=i.DEFAULT_GRAVITY_STRENGTH,this.compoundGravityConstant=i.DEFAULT_COMPOUND_GRAVITY_STRENGTH,this.gravityRangeFactor=i.DEFAULT_GRAVITY_RANGE_FACTOR,this.compoundGravityRangeFactor=i.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR,this.displacementThresholdPerNode=3*i.DEFAULT_EDGE_LENGTH/100,this.coolingFactor=i.DEFAULT_COOLING_FACTOR_INCREMENTAL,this.initialCoolingFactor=i.DEFAULT_COOLING_FACTOR_INCREMENTAL,this.totalDisplacement=0,this.oldTotalDisplacement=0,this.maxIterations=i.MAX_ITERATIONS}for(var u in l.prototype=Object.create(r.prototype),r)l[u]=r[u];l.prototype.initParameters=function(){r.prototype.initParameters.call(this,arguments),this.totalIterations=0,this.notAnimatedIterations=0,this.useFRGridVariant=i.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION,this.grid=[]},l.prototype.calcIdealEdgeLengths=function(){for(var e,t,n,r,o,s,l=this.getGraphManager().getAllEdges(),u=0;u<l.length;u++)(e=l[u]).idealLength=this.idealEdgeLength,e.isInterGraph&&(n=e.getSource(),r=e.getTarget(),o=e.getSourceInLca().getEstimatedSize(),s=e.getTargetInLca().getEstimatedSize(),this.useSmartIdealEdgeLengthCalculation&&(e.idealLength+=o+s-2*a.SIMPLE_NODE_SIZE),t=e.getLca().getInclusionTreeDepth(),e.idealLength+=i.DEFAULT_EDGE_LENGTH*i.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR*(n.getInclusionTreeDepth()+r.getInclusionTreeDepth()-2*t))},l.prototype.initSpringEmbedder=function(){var e=this.getAllNodes().length;this.incremental?(e>i.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*i.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(e-i.ADAPTATION_LOWER_NODE_LIMIT)/(i.ADAPTATION_UPPER_NODE_LIMIT-i.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-i.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=i.MAX_NODE_DISPLACEMENT_INCREMENTAL):(e>i.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(i.COOLING_ADAPTATION_FACTOR,1-(e-i.ADAPTATION_LOWER_NODE_LIMIT)/(i.ADAPTATION_UPPER_NODE_LIMIT-i.ADAPTATION_LOWER_NODE_LIMIT)*(1-i.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=i.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(5*this.getAllNodes().length,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},l.prototype.calcSpringForces=function(){for(var e,t=this.getAllEdges(),n=0;n<t.length;n++)e=t[n],this.calcSpringForce(e,e.idealLength)},l.prototype.calcRepulsionForces=function(){var e,t,n,r,a,o=!(arguments.length>0&&void 0!==arguments[0])||arguments[0],s=arguments.length>1&&void 0!==arguments[1]&&arguments[1],l=this.getAllNodes();if(this.useFRGridVariant)for(this.totalIterations%i.GRID_CALCULATION_CHECK_PERIOD==1&&o&&this.updateGrid(),a=new Set,e=0;e<l.length;e++)n=l[e],this.calculateRepulsionForceOfANode(n,a,o,s),a.add(n);else for(e=0;e<l.length;e++)for(n=l[e],t=e+1;t<l.length;t++)r=l[t],n.getOwner()==r.getOwner()&&this.calcRepulsionForce(n,r)},l.prototype.calcGravitationalForces=function(){for(var e,t=this.getAllNodesToApplyGravitation(),n=0;n<t.length;n++)e=t[n],this.calcGravitationalForce(e)},l.prototype.moveNodes=function(){for(var e=this.getAllNodes(),t=0;t<e.length;t++)e[t].move()},l.prototype.calcSpringForce=function(e,t){var n,r,i,a,o=e.getSource(),s=e.getTarget();if(this.uniformLeafNodeSizes&&null==o.getChild()&&null==s.getChild())e.updateLengthSimple();else if(e.updateLength(),e.isOverlapingSourceAndTarget)return;0!=(n=e.getLength())&&(i=(r=this.springConstant*(n-t))*(e.lengthX/n),a=r*(e.lengthY/n),o.springForceX+=i,o.springForceY+=a,s.springForceX-=i,s.springForceY-=a)},l.prototype.calcRepulsionForce=function(e,t){var n,r,a,l,u,c,h,d=e.getRect(),p=t.getRect(),g=new Array(2),f=new Array(4);if(d.intersects(p)){o.calcSeparationAmount(d,p,g,i.DEFAULT_EDGE_LENGTH/2),c=2*g[0],h=2*g[1];var v=e.noOfChildren*t.noOfChildren/(e.noOfChildren+t.noOfChildren);e.repulsionForceX-=v*c,e.repulsionForceY-=v*h,t.repulsionForceX+=v*c,t.repulsionForceY+=v*h}else this.uniformLeafNodeSizes&&null==e.getChild()&&null==t.getChild()?(n=p.getCenterX()-d.getCenterX(),r=p.getCenterY()-d.getCenterY()):(o.getIntersection(d,p,f),n=f[2]-f[0],r=f[3]-f[1]),Math.abs(n)<i.MIN_REPULSION_DIST&&(n=s.sign(n)*i.MIN_REPULSION_DIST),Math.abs(r)<i.MIN_REPULSION_DIST&&(r=s.sign(r)*i.MIN_REPULSION_DIST),a=n*n+r*r,l=Math.sqrt(a),c=(u=this.repulsionConstant*e.noOfChildren*t.noOfChildren/a)*n/l,h=u*r/l,e.repulsionForceX-=c,e.repulsionForceY-=h,t.repulsionForceX+=c,t.repulsionForceY+=h},l.prototype.calcGravitationalForce=function(e){var t,n,r,i,a,o,s,l;n=((t=e.getOwner()).getRight()+t.getLeft())/2,r=(t.getTop()+t.getBottom())/2,i=e.getCenterX()-n,a=e.getCenterY()-r,o=Math.abs(i)+e.getWidth()/2,s=Math.abs(a)+e.getHeight()/2,e.getOwner()==this.graphManager.getRoot()?(o>(l=t.getEstimatedSize()*this.gravityRangeFactor)||s>l)&&(e.gravitationForceX=-this.gravityConstant*i,e.gravitationForceY=-this.gravityConstant*a):(o>(l=t.getEstimatedSize()*this.compoundGravityRangeFactor)||s>l)&&(e.gravitationForceX=-this.gravityConstant*i*this.compoundGravityConstant,e.gravitationForceY=-this.gravityConstant*a*this.compoundGravityConstant)},l.prototype.isConverged=function(){var e,t=!1;return this.totalIterations>this.maxIterations/3&&(t=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),e=this.totalDisplacement<this.totalDisplacementThreshold,this.oldTotalDisplacement=this.totalDisplacement,e||t},l.prototype.animate=function(){this.animationDuringLayout&&!this.isSubLayout&&(this.notAnimatedIterations==this.animationPeriod?(this.update(),this.notAnimatedIterations=0):this.notAnimatedIterations++)},l.prototype.calcNoOfChildrenForAllNodes=function(){for(var e,t=this.graphManager.getAllNodes(),n=0;n<t.length;n++)(e=t[n]).noOfChildren=e.getNoOfChildren()},l.prototype.calcGrid=function(e){var t,n;t=parseInt(Math.ceil((e.getRight()-e.getLeft())/this.repulsionRange)),n=parseInt(Math.ceil((e.getBottom()-e.getTop())/this.repulsionRange));for(var r=new Array(t),i=0;i<t;i++)r[i]=new Array(n);for(i=0;i<t;i++)for(var a=0;a<n;a++)r[i][a]=new Array;return r},l.prototype.addNodeToGrid=function(e,t,n){var 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c=0;c<s[l][u].length;c++)if(a=s[l][u][c],e.getOwner()==a.getOwner()&&e!=a&&!t.has(a)&&!o.has(a)){var h=Math.abs(e.getCenterX()-a.getCenterX())-(e.getWidth()/2+a.getWidth()/2),d=Math.abs(e.getCenterY()-a.getCenterY())-(e.getHeight()/2+a.getHeight()/2);h<=this.repulsionRange&&d<=this.repulsionRange&&o.add(a)}e.surrounding=[].concat(function(e){if(Array.isArray(e)){for(var t=0,n=Array(e.length);t<e.length;t++)n[t]=e[t];return n}return Array.from(e)}(o))}for(l=0;l<e.surrounding.length;l++)this.calcRepulsionForce(e,e.surrounding[l])},l.prototype.calcRepulsionRange=function(){return 0},e.exports=l},function(e,t,n){"use strict";var r=n(1),i=n(7);function a(e,t,n){r.call(this,e,t,n),this.idealLength=i.DEFAULT_EDGE_LENGTH}for(var o in a.prototype=Object.create(r.prototype),r)a[o]=r[o];e.exports=a},function(e,t,n){"use strict";var r=n(3);function i(e,t,n,i){r.call(this,e,t,n,i),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0,this.startX=0,this.finishX=0,this.startY=0,this.finishY=0,this.surrounding=[]}for(var a in i.prototype=Object.create(r.prototype),r)i[a]=r[a];i.prototype.setGridCoordinates=function(e,t,n,r){this.startX=e,this.finishX=t,this.startY=n,this.finishY=r},e.exports=i},function(e,t,n){"use strict";function r(e,t){this.width=0,this.height=0,null!==e&&null!==t&&(this.height=t,this.width=e)}r.prototype.getWidth=function(){return this.width},r.prototype.setWidth=function(e){this.width=e},r.prototype.getHeight=function(){return this.height},r.prototype.setHeight=function(e){this.height=e},e.exports=r},function(e,t,n){"use strict";var r=n(14);function i(){this.map={},this.keys=[]}i.prototype.put=function(e,t){var n=r.createID(e);this.contains(n)||(this.map[n]=t,this.keys.push(e))},i.prototype.contains=function(e){return r.createID(e),null!=this.map[e]},i.prototype.get=function(e){var t=r.createID(e);return this.map[t]},i.prototype.keySet=function(){return this.keys},e.exports=i},function(e,t,n){"use strict";var r=n(14);function i(){this.set={}}i.prototype.add=function(e){var t=r.createID(e);this.contains(t)||(this.set[t]=e)},i.prototype.remove=function(e){delete this.set[r.createID(e)]},i.prototype.clear=function(){this.set={}},i.prototype.contains=function(e){return this.set[r.createID(e)]==e},i.prototype.isEmpty=function(){return 0===this.size()},i.prototype.size=function(){return Object.keys(this.set).length},i.prototype.addAllTo=function(e){for(var t=Object.keys(this.set),n=t.length,r=0;r<n;r++)e.push(this.set[t[r]])},i.prototype.size=function(){return Object.keys(this.set).length},i.prototype.addAll=function(e){for(var t=e.length,n=0;n<t;n++){var r=e[n];this.add(r)}},e.exports=i},function(e,t,n){"use strict";var r=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}(),i=n(11),a=function(){function e(t,n){!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,e),null===n&&void 0===n||(this.compareFunction=this._defaultCompareFunction);var r=void 0;r=t instanceof i?t.size():t.length,this._quicksort(t,0,r-1)}return r(e,[{key:"_quicksort",value:function(e,t,n){if(t<n){var r=this._partition(e,t,n);this._quicksort(e,t,r),this._quicksort(e,r+1,n)}}},{key:"_partition",value:function(e,t,n){for(var r=this._get(e,t),i=t,a=n;;){for(;this.compareFunction(r,this._get(e,a));)a--;for(;this.compareFunction(this._get(e,i),r);)i++;if(!(i<a))return a;this._swap(e,i,a),i++,a--}}},{key:"_get",value:function(e,t){return e instanceof i?e.get_object_at(t):e[t]}},{key:"_set",value:function(e,t,n){e instanceof i?e.set_object_at(t,n):e[t]=n}},{key:"_swap",value:function(e,t,n){var r=this._get(e,t);this._set(e,t,this._get(e,n)),this._set(e,n,r)}},{key:"_defaultCompareFunction",value:function(e,t){return t>e}}]),e}();e.exports=a},function(e,t,n){"use strict";var r=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}(),i=function(){function e(t,n){var r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,i=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:-1;!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a 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i=[this.sequence1[n-1]===this.sequence2[r-1]?this.grid[n-1][r-1]+this.match_score:this.grid[n-1][r-1]+this.mismatch_penalty,this.grid[n-1][r]+this.gap_penalty,this.grid[n][r-1]+this.gap_penalty],a=this.arrayAllMaxIndexes(i);this.grid[n][r]=i[a[0]],this.tracebackGrid[n][r]=[a.includes(0),a.includes(1),a.includes(2)]}this.score=this.grid[this.iMax-1][this.jMax-1]}},{key:"alignmentTraceback",value:function(){var e=[];for(e.push({pos:[this.sequence1.length,this.sequence2.length],seq1:"",seq2:""});e[0];){var t=e[0],n=this.tracebackGrid[t.pos[0]][t.pos[1]];n[0]&&e.push({pos:[t.pos[0]-1,t.pos[1]-1],seq1:this.sequence1[t.pos[0]-1]+t.seq1,seq2:this.sequence2[t.pos[1]-1]+t.seq2}),n[1]&&e.push({pos:[t.pos[0]-1,t.pos[1]],seq1:this.sequence1[t.pos[0]-1]+t.seq1,seq2:"-"+t.seq2}),n[2]&&e.push({pos:[t.pos[0],t.pos[1]-1],seq1:"-"+t.seq1,seq2:this.sequence2[t.pos[1]-1]+t.seq2}),0===t.pos[0]&&0===t.pos[1]&&this.alignments.push({sequence1:t.seq1,sequence2:t.seq2}),e.shift()}return this.alignments}},{key:"getAllIndexes",value:function(e,t){for(var n=[],r=-1;-1!==(r=e.indexOf(t,r+1));)n.push(r);return n}},{key:"arrayAllMaxIndexes",value:function(e){return this.getAllIndexes(e,Math.max.apply(null,e))}}]),e}();e.exports=i},function(e,t,n){"use strict";var r=function(){};r.FDLayout=n(18),r.FDLayoutConstants=n(7),r.FDLayoutEdge=n(19),r.FDLayoutNode=n(20),r.DimensionD=n(21),r.HashMap=n(22),r.HashSet=n(23),r.IGeometry=n(8),r.IMath=n(9),r.Integer=n(10),r.Point=n(12),r.PointD=n(4),r.RandomSeed=n(16),r.RectangleD=n(13),r.Transform=n(17),r.UniqueIDGeneretor=n(14),r.Quicksort=n(24),r.LinkedList=n(11),r.LGraphObject=n(2),r.LGraph=n(5),r.LEdge=n(1),r.LGraphManager=n(6),r.LNode=n(3),r.Layout=n(15),r.LayoutConstants=n(0),r.NeedlemanWunsch=n(25),e.exports=r},function(e,t,n){"use strict";function r(){this.listeners=[]}var i=r.prototype;i.addListener=function(e,t){this.listeners.push({event:e,callback:t})},i.removeListener=function(e,t){for(var n=this.listeners.length;n>=0;n--){var r=this.listeners[n];r.event===e&&r.callback===t&&this.listeners.splice(n,1)}},i.emit=function(e,t){for(var n=0;n<this.listeners.length;n++){var r=this.listeners[n];e===r.event&&r.callback(t)}},e.exports=r}])},e.exports=t()},80339:(e,t,n)=>{"use strict";n.d(t,{diagram:()=>A});var r=n(24743),i=n(64218),a=n(64444),o=n(71377),s=n(14607),l=n(91619),u=n(12281),c=n(7201),h=(n(27484),n(17967),n(27856),function(){var e=function(e,t,n,r){for(n=n||{},r=e.length;r--;n[e[r]]=t);return n},t=[1,4],n=[1,13],r=[1,12],i=[1,15],a=[1,16],o=[1,20],s=[1,19],l=[6,7,8],u=[1,26],c=[1,24],h=[1,25],d=[6,7,11],p=[1,6,13,15,16,19,22],g=[1,33],f=[1,34],v=[1,6,7,11,13,15,16,19,22],y={trace:function(){},yy:{},symbols_:{error:2,start:3,mindMap:4,spaceLines:5,SPACELINE:6,NL:7,MINDMAP:8,document:9,stop:10,EOF:11,statement:12,SPACELIST:13,node:14,ICON:15,CLASS:16,nodeWithId:17,nodeWithoutId:18,NODE_DSTART:19,NODE_DESCR:20,NODE_DEND:21,NODE_ID:22,$accept:0,$end:1},terminals_:{2:"error",6:"SPACELINE",7:"NL",8:"MINDMAP",11:"EOF",13:"SPACELIST",15:"ICON",16:"CLASS",19:"NODE_DSTART",20:"NODE_DESCR",21:"NODE_DEND",22:"NODE_ID"},productions_:[0,[3,1],[3,2],[5,1],[5,2],[5,2],[4,2],[4,3],[10,1],[10,1],[10,1],[10,2],[10,2],[9,3],[9,2],[12,2],[12,2],[12,2],[12,1],[12,1],[12,1],[12,1],[12,1],[14,1],[14,1],[18,3],[17,1],[17,4]],performAction:function(e,t,n,r,i,a,o){var s=a.length-1;switch(i){case 6:case 7:return r;case 8:r.getLogger().trace("Stop NL ");break;case 9:r.getLogger().trace("Stop EOF 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n.hash=t,n}this.trace(e)},parse:function(e){var t=this,n=[0],r=[],i=[null],a=[],o=this.table,s="",l=0,u=0,c=a.slice.call(arguments,1),h=Object.create(this.lexer),d={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(d.yy[p]=this.yy[p]);h.setInput(e,d.yy),d.yy.lexer=h,d.yy.parser=this,void 0===h.yylloc&&(h.yylloc={});var g=h.yylloc;a.push(g);var f=h.options&&h.options.ranges;"function"==typeof d.yy.parseError?this.parseError=d.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var v,y,m,b,x,w,E,T,_,D={};;){if(y=n[n.length-1],this.defaultActions[y]?m=this.defaultActions[y]:(null==v&&(_=void 0,"number"!=typeof(_=r.pop()||h.lex()||1)&&(_ instanceof Array&&(_=(r=_).pop()),_=t.symbols_[_]||_),v=_),m=o[y]&&o[y][v]),void 0===m||!m.length||!m[0]){var C="";for(x in T=[],o[y])this.terminals_[x]&&x>2&&T.push("'"+this.terminals_[x]+"'");C=h.showPosition?"Parse error on line "+(l+1)+":\n"+h.showPosition()+"\nExpecting "+T.join(", ")+", got 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color: ${e["cScaleLabel"+n]};\n }\n .section-edge-${n-1}{\n stroke: ${e["cScale"+n]};\n }\n .edge-depth-${n-1}{\n stroke-width: ${r};\n }\n .section-${n-1} line {\n stroke: ${e["cScaleInv"+n]} ;\n stroke-width: 3;\n }\n\n .disabled, .disabled circle, .disabled text {\n fill: lightgray;\n }\n .disabled text {\n fill: #efefef;\n }\n `}return t})(e)}\n .section-root rect, .section-root path, .section-root circle, .section-root polygon {\n fill: ${e.git0};\n }\n .section-root text {\n fill: ${e.gitBranchLabel0};\n }\n .icon-container {\n height:100%;\n display: flex;\n justify-content: center;\n align-items: center;\n }\n .edge {\n fill: none;\n }\n .mindmap-node-label {\n dy: 1em;\n alignment-baseline: middle;\n text-anchor: middle;\n dominant-baseline: middle;\n text-align: center;\n }\n`}}}]); \ No newline at end of file diff --git a/assets/js/177.0fc0d72f.js b/assets/js/344.0a54ea5e.js similarity index 93% rename from assets/js/177.0fc0d72f.js rename to assets/js/344.0a54ea5e.js index 8de6ef067..e89c43060 100644 --- a/assets/js/177.0fc0d72f.js +++ b/assets/js/344.0a54ea5e.js @@ -1,20 +1,20 @@ "use strict"; -exports.id = 177; -exports.ids = [177]; +exports.id = 344; +exports.ids = [344]; exports.modules = { -/***/ 93177: +/***/ 27344: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(72015); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17967); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(27484); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(22424); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(30291); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(86208); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(62264); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(57776); @@ -1036,11 +1036,11 @@ const autoWrap = () => { if (state.records.wrapEnabled !== void 0) { return state.records.wrapEnabled; } - return (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().sequence.wrap; + return (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().sequence.wrap; }; const clear = function() { state.reset(); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.t)(); }; const parseMessage = function(str) { const _str = str.trim(); @@ -1048,7 +1048,7 @@ const parseMessage = function(str) { text: _str.replace(/^:?(?:no)?wrap:/, "").trim(), wrap: _str.match(/^:?wrap:/) !== null ? true : _str.match(/^:?nowrap:/) !== null ? false : void 0 }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("parseMessage:", message); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("parseMessage:", message); return message; }; const parseBoxData = function(str) { @@ -1070,7 +1070,7 @@ const parseBoxData = function(str) { } return { color, - text: title !== void 0 ? (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.d)(title.replace(/^:?(?:no)?wrap:/, ""), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()) : void 0, + text: title !== void 0 ? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.d)(title.replace(/^:?(?:no)?wrap:/, ""), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()) : void 0, wrap: title !== void 0 ? title.match(/^:?wrap:/) !== null ? true : title.match(/^:?nowrap:/) !== null ? false : void 0 : void 0 }; }; @@ -1136,20 +1136,20 @@ const addNote = function(actor, placement, message) { const addLinks = function(actorId, text) { const actor = getActor(actorId); try { - let sanitizedText = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.d)(text.text, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + let sanitizedText = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.d)(text.text, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); sanitizedText = sanitizedText.replace(/&/g, "&"); sanitizedText = sanitizedText.replace(/=/g, "="); const links = JSON.parse(sanitizedText); insertLinks(actor, links); } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing actor link text", e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing actor link text", e); } }; const addALink = function(actorId, text) { const actor = getActor(actorId); try { const links = {}; - let sanitizedText = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.d)(text.text, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + let sanitizedText = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.d)(text.text, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); var sep = sanitizedText.indexOf("@"); sanitizedText = sanitizedText.replace(/&/g, "&"); sanitizedText = sanitizedText.replace(/=/g, "="); @@ -1158,7 +1158,7 @@ const addALink = function(actorId, text) { links[label] = link; insertLinks(actor, links); } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing actor link text", e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing actor link text", e); } }; function insertLinks(actor, links) { @@ -1173,11 +1173,11 @@ function insertLinks(actor, links) { const addProperties = function(actorId, text) { const actor = getActor(actorId); try { - let sanitizedText = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.d)(text.text, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + let sanitizedText = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.d)(text.text, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); const properties = JSON.parse(sanitizedText); insertProperties(actor, properties); } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing actor properties text", e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing actor properties text", e); } }; function insertProperties(actor, properties) { @@ -1205,7 +1205,7 @@ const addDetails = function(actorId, text) { insertLinks(actor, details["links"]); } } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing actor details text", e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing actor details text", e); } }; const getActorProperty = function(actor, key) { @@ -1326,7 +1326,7 @@ const apply = function(param) { addSignal(void 0, void 0, void 0, param.signalType); break; case "setAccTitle": - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.s)(param.text); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.s)(param.text); break; case "parStart": addSignal(void 0, void 0, param.parText, param.signalType); @@ -1374,11 +1374,11 @@ const db = { getActor, getActorKeys, getActorProperty, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.g, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.g, getBoxes, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.r, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.q, - getConfig: () => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().sequence, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.r, + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.q, + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().sequence, clear, parseMessage, parseBoxData, @@ -1386,10 +1386,10 @@ const db = { ARROWTYPE, PLACEMENT, addNote, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.s, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.s, apply, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.b, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.b, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.a, hasAtLeastOneBox, hasAtLeastOneBoxWithTitle }; @@ -1512,22 +1512,10 @@ const getStyles = (options) => `.actor { `; const styles = getStyles; const ACTOR_TYPE_WIDTH = 18 * 2; +const TOP_ACTOR_CLASS = "actor-top"; +const BOTTOM_ACTOR_CLASS = "actor-bottom"; const drawRect = function(elem, rectData) { - return (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.d)(elem, rectData); -}; -const addPopupInteraction = (id, actorCnt2) => { - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.F)(() => { - const arr = document.querySelectorAll(id); - if (arr.length === 0) { - return; - } - arr[0].addEventListener("mouseover", function() { - popupMenuUpFunc("actor" + actorCnt2 + "_popup"); - }); - arr[0].addEventListener("mouseout", function() { - popupMenuDownFunc("actor" + actorCnt2 + "_popup"); - }); - }); + return (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.d)(elem, rectData); }; const drawPopup = function(elem, actor, minMenuWidth, textAttrs, forceMenus) { if (actor.links === void 0 || actor.links === null || Object.keys(actor.links).length === 0) { @@ -1544,7 +1532,6 @@ const drawPopup = function(elem, actor, minMenuWidth, textAttrs, forceMenus) { g.attr("id", "actor" + actorCnt2 + "_popup"); g.attr("class", "actorPopupMenu"); g.attr("display", displayValue); - addPopupInteraction("#actor" + actorCnt2 + "_popup", actorCnt2); var actorClass = ""; if (rectData.class !== void 0) { actorClass = " " + rectData.class; @@ -1564,7 +1551,7 @@ const drawPopup = function(elem, actor, minMenuWidth, textAttrs, forceMenus) { var linkY = 20; for (let key in links) { var linkElem = g.append("a"); - var sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__/* .sanitizeUrl */ .Nm)(links[key]); + var sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__/* .sanitizeUrl */ .oR)(links[key]); linkElem.attr("xlink:href", sanitizedLink); linkElem.attr("target", "_blank"); _drawMenuItemTextCandidateFunc(textAttrs)( @@ -1583,29 +1570,14 @@ const drawPopup = function(elem, actor, minMenuWidth, textAttrs, forceMenus) { rectElem.attr("height", linkY); return { height: rectData.height + linkY, width: menuWidth }; }; -const popupMenu = function(popid) { - return "var pu = document.getElementById('" + popid + "'); if (pu != null) { pu.style.display = 'block'; }"; -}; -const popdownMenu = function(popid) { - return "var pu = document.getElementById('" + popid + "'); if (pu != null) { pu.style.display = 'none'; }"; -}; -const popupMenuUpFunc = function(popupId) { - var pu = document.getElementById(popupId); - if (pu != null) { - pu.style.display = "block"; - } -}; -const popupMenuDownFunc = function(popupId) { - var pu = document.getElementById(popupId); - if (pu != null) { - pu.style.display = "none"; - } +const popupMenuToggle = function(popid) { + return "var pu = document.getElementById('" + popid + "'); if (pu != null) { pu.style.display = pu.style.display == 'block' ? 'none' : 'block'; }"; }; const drawText = function(elem, textData) { let prevTextHeight = 0; let textHeight = 0; - const lines = textData.text.split(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); - const [_textFontSize, _textFontSizePx] = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.C)(textData.fontSize); + const lines = textData.text.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); + const [_textFontSize, _textFontSizePx] = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.C)(textData.fontSize); let textElems = []; let dy = 0; let yfunc = () => textData.y; @@ -1682,7 +1654,7 @@ const drawText = function(elem, textData) { } else if (dy !== 0) { textElem.attr("dy", dy); } - const text = line || _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.Z; + const text = line || _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.Z; if (textData.tspan) { const span = textElem.append("tspan"); span.attr("x", textData.x); @@ -1735,21 +1707,28 @@ const drawActorTypeParticipant = function(elem, actor, conf2, isFooter) { var g = boxpluslineGroup; if (!isFooter) { actorCnt++; + if (Object.keys(actor.links || {}).length && !conf2.forceMenus) { + g.attr("onclick", popupMenuToggle(`actor${actorCnt}_popup`)).attr("cursor", "pointer"); + } g.append("line").attr("id", "actor" + actorCnt).attr("x1", center).attr("y1", centerY).attr("x2", center).attr("y2", 2e3).attr("class", "actor-line").attr("class", "200").attr("stroke-width", "0.5px").attr("stroke", "#999"); g = boxpluslineGroup.append("g"); actor.actorCnt = actorCnt; if (actor.links != null) { g.attr("id", "root-" + actorCnt); - addPopupInteraction("#root-" + actorCnt, actorCnt); } } - const rect = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.g)(); + const rect = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.g)(); var cssclass = "actor"; if (actor.properties != null && actor.properties["class"]) { cssclass = actor.properties["class"]; } else { rect.fill = "#eaeaea"; } + if (isFooter) { + cssclass += ` ${BOTTOM_ACTOR_CLASS}`; + } else { + cssclass += ` ${TOP_ACTOR_CLASS}`; + } rect.x = actor.x; rect.y = actorY; rect.width = actor.width; @@ -1762,9 +1741,9 @@ const drawActorTypeParticipant = function(elem, actor, conf2, isFooter) { if (actor.properties != null && actor.properties["icon"]) { const iconSrc = actor.properties["icon"].trim(); if (iconSrc.charAt(0) === "@") { - (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.b)(g, rect.x + rect.width - 20, rect.y + 10, iconSrc.substr(1)); + (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.b)(g, rect.x + rect.width - 20, rect.y + 10, iconSrc.substr(1)); } else { - (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.c)(g, rect.x + rect.width - 20, rect.y + 10, iconSrc); + (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.c)(g, rect.x + rect.width - 20, rect.y + 10, iconSrc); } } _drawTextCandidateFunc(conf2)( @@ -1796,8 +1775,14 @@ const drawActorTypeActor = function(elem, actor, conf2, isFooter) { actor.actorCnt = actorCnt; } const actElem = elem.append("g"); - actElem.attr("class", "actor-man"); - const rect = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.g)(); + let cssClass = "actor-man"; + if (isFooter) { + cssClass += ` ${BOTTOM_ACTOR_CLASS}`; + } else { + cssClass += ` ${TOP_ACTOR_CLASS}`; + } + actElem.attr("class", cssClass); + const rect = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.g)(); rect.x = actor.x; rect.y = actorY; rect.fill = "#eaeaea"; @@ -1860,7 +1845,7 @@ const anchorElement = function(elem) { return elem.append("g"); }; const drawActivation = function(elem, bounds2, verticalPos, conf2, actorActivations2) { - const rect = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.g)(); + const rect = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.g)(); const g = bounds2.anchored; rect.x = bounds2.startx; rect.y = bounds2.starty; @@ -1895,7 +1880,7 @@ const drawLoop = function(elem, loopModel, labelText, conf2) { ); }); } - let txt = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.e)(); + let txt = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.e)(); txt.text = labelText; txt.x = loopModel.startx; txt.y = loopModel.starty; @@ -1949,7 +1934,7 @@ const drawLoop = function(elem, loopModel, labelText, conf2) { return g; }; const drawBackgroundRect = function(elem, bounds2) { - (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.a)(elem, bounds2); + (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.a)(elem, bounds2); }; const insertDatabaseIcon = function(elem) { elem.append("defs").append("symbol").attr("id", "database").attr("fill-rule", "evenodd").attr("clip-rule", "evenodd").append("path").attr("transform", "scale(.5)").attr( @@ -2019,8 +2004,8 @@ const _drawTextCandidateFunc = function() { } function byTspan(content, g, x, y, width, height, textAttrs, conf2) { const { actorFontSize, actorFontFamily, actorFontWeight } = conf2; - const [_actorFontSize, _actorFontSizePx] = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.C)(actorFontSize); - const lines = content.split(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); + const [_actorFontSize, _actorFontSizePx] = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.C)(actorFontSize); + const lines = content.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); for (let i = 0; i < lines.length; i++) { const dy = i * _actorFontSize - _actorFontSize * (lines.length - 1) / 2; const text = g.append("text").attr("x", x + width / 2).attr("y", y).style("text-anchor", "middle").style("font-size", _actorFontSizePx).style("font-weight", actorFontWeight).style("font-family", actorFontFamily); @@ -2055,7 +2040,7 @@ const _drawMenuItemTextCandidateFunc = function() { } function byTspan(content, g, x, y, width, height, textAttrs, conf2) { const { actorFontSize, actorFontFamily, actorFontWeight } = conf2; - const lines = content.split(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); + const lines = content.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); for (let i = 0; i < lines.length; i++) { const dy = i * actorFontSize - actorFontSize * (lines.length - 1) / 2; const text = g.append("text").attr("x", x).attr("y", y).style("text-anchor", "start").style("font-size", actorFontSize).style("font-weight", actorFontWeight).style("font-family", actorFontFamily); @@ -2103,10 +2088,8 @@ const svgDraw = { insertClockIcon, getTextObj, getNoteRect, - popupMenu, - popdownMenu, fixLifeLineHeights, - sanitizeUrl: _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__/* .sanitizeUrl */ .Nm + sanitizeUrl: _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__/* .sanitizeUrl */ .oR }; let conf = {}; const bounds = { @@ -2177,7 +2160,7 @@ const bounds = { stopy: void 0 }; this.verticalPos = 0; - setConf((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + setConf((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); }, updateVal: function(obj, key, val, fun) { if (obj[key] === void 0) { @@ -2209,10 +2192,10 @@ const bounds = { this.activations.forEach(updateFn("activation")); }, insert: function(startx, starty, stopx, stopy) { - const _startx = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(startx, stopx); - const _stopx = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(startx, stopx); - const _starty = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(starty, stopy); - const _stopy = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(starty, stopy); + const _startx = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(startx, stopx); + const _stopx = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(startx, stopx); + const _starty = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(starty, stopy); + const _stopy = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(starty, stopy); this.updateVal(bounds.data, "startx", _startx, Math.min); this.updateVal(bounds.data, "starty", _starty, Math.min); this.updateVal(bounds.data, "stopx", _stopx, Math.max); @@ -2280,7 +2263,7 @@ const bounds = { }, bumpVerticalPos: function(bump) { this.verticalPos = this.verticalPos + bump; - this.data.stopy = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(this.data.stopy, this.verticalPos); + this.data.stopy = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(this.data.stopy, this.verticalPos); }, getVerticalPos: function() { return this.verticalPos; @@ -2293,14 +2276,14 @@ const drawNote = function(elem, noteModel) { bounds.bumpVerticalPos(conf.boxMargin); noteModel.height = conf.boxMargin; noteModel.starty = bounds.getVerticalPos(); - const rect = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.g)(); + const rect = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.g)(); rect.x = noteModel.startx; rect.y = noteModel.starty; rect.width = noteModel.width || conf.width; rect.class = "note"; const g = elem.append("g"); const rectElem = svgDraw.drawRect(g, rect); - const textObj = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.e)(); + const textObj = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.e)(); textObj.x = noteModel.startx; textObj.y = noteModel.starty; textObj.width = rect.width; @@ -2349,8 +2332,8 @@ const actorFont = (cnf) => { function boundMessage(_diagram, msgModel) { bounds.bumpVerticalPos(10); const { startx, stopx, message } = msgModel; - const lines = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.splitBreaks(message).length; - const textDims = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(message, messageFont(conf)); + const lines = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.splitBreaks(message).length; + const textDims = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(message, messageFont(conf)); const lineHeight = textDims.height / lines; msgModel.height += lineHeight; bounds.bumpVerticalPos(lineHeight); @@ -2364,7 +2347,7 @@ function boundMessage(_diagram, msgModel) { lineStartY = bounds.getVerticalPos() + totalOffset; } totalOffset += 30; - const dx = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(textWidth / 2, conf.width / 2); + const dx = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(textWidth / 2, conf.width / 2); bounds.insert( startx - dx, bounds.getVerticalPos() - 10 + totalOffset, @@ -2384,8 +2367,8 @@ function boundMessage(_diagram, msgModel) { } const drawMessage = function(diagram2, msgModel, lineStartY, diagObj) { const { startx, stopx, starty, message, type, sequenceIndex, sequenceVisible } = msgModel; - const textDims = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(message, messageFont(conf)); - const textObj = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.e)(); + const textDims = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(message, messageFont(conf)); + const textObj = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.e)(); textObj.x = startx; textObj.y = starty + 10; textObj.width = stopx - startx; @@ -2406,7 +2389,7 @@ const drawMessage = function(diagram2, msgModel, lineStartY, diagObj) { if (conf.rightAngles) { line = diagram2.append("path").attr( "d", - `M ${startx},${lineStartY} H ${startx + _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width / 2, textWidth / 2)} V ${lineStartY + 25} H ${startx}` + `M ${startx},${lineStartY} H ${startx + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width / 2, textWidth / 2)} V ${lineStartY + 25} H ${startx}` ); } else { line = diagram2.append("path").attr( @@ -2472,9 +2455,9 @@ const addActorRenderingData = function(diagram2, actors, createdActors, actorKey prevMargin += box.margin; } actor.width = actor.width || conf.width; - actor.height = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(actor.height || conf.height, conf.height); + actor.height = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(actor.height || conf.height, conf.height); actor.margin = actor.margin || conf.actorMargin; - maxHeight = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(maxHeight, actor.height); + maxHeight = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(maxHeight, actor.height); if (createdActors[actor.name]) { prevMargin += actor.width / 2; } @@ -2509,7 +2492,7 @@ const drawActors = function(diagram2, actors, actorKeys, isFooter) { actor.stopy = bounds.getVerticalPos(); } const height = svgDraw.drawActor(diagram2, actor, conf, true); - maxHeight = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(maxHeight, height); + maxHeight = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(maxHeight, height); } bounds.bumpVerticalPos(maxHeight + conf.boxMargin); } @@ -2538,7 +2521,7 @@ const drawActorsPopup = function(diagram2, actors, actorKeys, doc) { return { maxHeight, maxWidth }; }; const setConf = function(cnf) { - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.f)(conf, cnf); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.f)(conf, cnf); if (cnf.fontFamily) { conf.actorFontFamily = conf.noteFontFamily = conf.messageFontFamily = cnf.fontFamily; } @@ -2558,10 +2541,10 @@ const activationBounds = function(actor, actors) { const actorObj = actors[actor]; const activations = actorActivations(actor); const left = activations.reduce(function(acc, activation) { - return _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(acc, activation.startx); + return _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(acc, activation.startx); }, actorObj.x + actorObj.width / 2 - 1); const right = activations.reduce(function(acc, activation) { - return _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(acc, activation.stopx); + return _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(acc, activation.stopx); }, actorObj.x + actorObj.width / 2 + 1); return [left, right]; }; @@ -2571,13 +2554,13 @@ function adjustLoopHeightForWrap(loopWidths, msg, preMargin, postMargin, addLoop if (msg.id && msg.message && loopWidths[msg.id]) { const loopWidth = loopWidths[msg.id].width; const textConf = messageFont(conf); - msg.message = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel(`[${msg.message}]`, loopWidth - 2 * conf.wrapPadding, textConf); + msg.message = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel(`[${msg.message}]`, loopWidth - 2 * conf.wrapPadding, textConf); msg.width = loopWidth; msg.wrap = true; - const textDims = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(msg.message, textConf); - const totalOffset = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(textDims.height, conf.labelBoxHeight); + const textDims = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(msg.message, textConf); + const totalOffset = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(textDims.height, conf.labelBoxHeight); heightAdjust = postMargin + totalOffset; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`${totalOffset} - ${msg.message}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`${totalOffset} - ${msg.message}`); } addLoopFn(msg); bounds.bumpVerticalPos(heightAdjust); @@ -2646,17 +2629,17 @@ function adjustCreatedDestroyedData(msg, msgModel, lineStartY, index, actors, cr } } const draw = function(_text, id, _version, diagObj) { - const { securityLevel, sequence } = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + const { securityLevel, sequence } = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); conf = sequence; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); const doc = securityLevel === "sandbox" ? sandboxElement.nodes()[0].contentDocument : document; bounds.init(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(diagObj.db); - const diagram2 = securityLevel === "sandbox" ? root.select(`[id="${id}"]`) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(`[id="${id}"]`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(diagObj.db); + const diagram2 = securityLevel === "sandbox" ? root.select(`[id="${id}"]`) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(`[id="${id}"]`); const actors = diagObj.db.getActors(); const createdActors = diagObj.db.getCreatedActors(); const destroyedActors = diagObj.db.getDestroyedActors(); @@ -2886,7 +2869,7 @@ const draw = function(_text, id, _version, diagObj) { messagesToDraw.push({ messageModel: msgModel, lineStartY }); bounds.models.addMessage(msgModel); } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while drawing message", e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while drawing message", e); } } if ([ @@ -2902,8 +2885,8 @@ const draw = function(_text, id, _version, diagObj) { sequenceIndex = sequenceIndex + sequenceIndexStep; } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("createdActors", createdActors); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("destroyedActors", destroyedActors); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("createdActors", createdActors); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("destroyedActors", destroyedActors); drawActors(diagram2, actors, actorKeys, false); messagesToDraw.forEach((e) => drawMessage(diagram2, e.messageModel, e.lineStartY, diagObj)); if (conf.mirrorActors) { @@ -2942,13 +2925,13 @@ const draw = function(_text, id, _version, diagObj) { if (title) { diagram2.append("text").text(title).attr("x", (box.stopx - box.startx) / 2 - 2 * conf.diagramMarginX).attr("y", -25); } - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.i)(diagram2, height, width, conf.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.i)(diagram2, height, width, conf.useMaxWidth); const extraVertForTitle = title ? 40 : 0; diagram2.attr( "viewBox", box.startx - conf.diagramMarginX + " -" + (conf.diagramMarginY + extraVertForTitle) + " " + width + " " + (height + extraVertForTitle) ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`models:`, bounds.models); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`models:`, bounds.models); }; function getMaxMessageWidthPerActor(actors, messages, diagObj) { const maxMessageWidthPerActor = {}; @@ -2964,47 +2947,47 @@ function getMaxMessageWidthPerActor(actors, messages, diagObj) { const isNote = msg.placement !== void 0; const isMessage = !isNote; const textFont = isNote ? noteFont(conf) : messageFont(conf); - const wrappedMessage = msg.wrap ? _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel(msg.message, conf.width - 2 * conf.wrapPadding, textFont) : msg.message; - const messageDimensions = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(wrappedMessage, textFont); + const wrappedMessage = msg.wrap ? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel(msg.message, conf.width - 2 * conf.wrapPadding, textFont) : msg.message; + const messageDimensions = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(wrappedMessage, textFont); const messageWidth = messageDimensions.width + 2 * conf.wrapPadding; if (isMessage && msg.from === actor.nextActor) { - maxMessageWidthPerActor[msg.to] = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + maxMessageWidthPerActor[msg.to] = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( maxMessageWidthPerActor[msg.to] || 0, messageWidth ); } else if (isMessage && msg.from === actor.prevActor) { - maxMessageWidthPerActor[msg.from] = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + maxMessageWidthPerActor[msg.from] = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( maxMessageWidthPerActor[msg.from] || 0, messageWidth ); } else if (isMessage && msg.from === msg.to) { - maxMessageWidthPerActor[msg.from] = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + maxMessageWidthPerActor[msg.from] = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( maxMessageWidthPerActor[msg.from] || 0, messageWidth / 2 ); - maxMessageWidthPerActor[msg.to] = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + maxMessageWidthPerActor[msg.to] = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( maxMessageWidthPerActor[msg.to] || 0, messageWidth / 2 ); } else if (msg.placement === diagObj.db.PLACEMENT.RIGHTOF) { - maxMessageWidthPerActor[msg.from] = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + maxMessageWidthPerActor[msg.from] = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( maxMessageWidthPerActor[msg.from] || 0, messageWidth ); } else if (msg.placement === diagObj.db.PLACEMENT.LEFTOF) { - maxMessageWidthPerActor[actor.prevActor] = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + maxMessageWidthPerActor[actor.prevActor] = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( maxMessageWidthPerActor[actor.prevActor] || 0, messageWidth ); } else if (msg.placement === diagObj.db.PLACEMENT.OVER) { if (actor.prevActor) { - maxMessageWidthPerActor[actor.prevActor] = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + maxMessageWidthPerActor[actor.prevActor] = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( maxMessageWidthPerActor[actor.prevActor] || 0, messageWidth / 2 ); } if (actor.nextActor) { - maxMessageWidthPerActor[msg.from] = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + maxMessageWidthPerActor[msg.from] = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( maxMessageWidthPerActor[msg.from] || 0, messageWidth / 2 ); @@ -3012,14 +2995,14 @@ function getMaxMessageWidthPerActor(actors, messages, diagObj) { } } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("maxMessageWidthPerActor:", maxMessageWidthPerActor); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("maxMessageWidthPerActor:", maxMessageWidthPerActor); return maxMessageWidthPerActor; } const getRequiredPopupWidth = function(actor) { let requiredPopupWidth = 0; const textFont = actorFont(conf); for (const key in actor.links) { - const labelDimensions = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(key, textFont); + const labelDimensions = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(key, textFont); const labelWidth = labelDimensions.width + 2 * conf.wrapPadding + 2 * conf.boxMargin; if (requiredPopupWidth < labelWidth) { requiredPopupWidth = labelWidth; @@ -3032,16 +3015,16 @@ function calculateActorMargins(actors, actorToMessageWidth, boxes) { Object.keys(actors).forEach((prop) => { const actor = actors[prop]; if (actor.wrap) { - actor.description = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel( + actor.description = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel( actor.description, conf.width - 2 * conf.wrapPadding, actorFont(conf) ); } - const actDims = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(actor.description, actorFont(conf)); - actor.width = actor.wrap ? conf.width : _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, actDims.width + 2 * conf.wrapPadding); - actor.height = actor.wrap ? _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(actDims.height, conf.height) : conf.height; - maxHeight = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(maxHeight, actor.height); + const actDims = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(actor.description, actorFont(conf)); + actor.width = actor.wrap ? conf.width : _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, actDims.width + 2 * conf.wrapPadding); + actor.height = actor.wrap ? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(actDims.height, conf.height) : conf.height; + maxHeight = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(maxHeight, actor.height); }); for (const actorKey in actorToMessageWidth) { const actor = actors[actorKey]; @@ -3052,12 +3035,12 @@ function calculateActorMargins(actors, actorToMessageWidth, boxes) { if (!nextActor) { const messageWidth2 = actorToMessageWidth[actorKey]; const actorWidth2 = messageWidth2 + conf.actorMargin - actor.width / 2; - actor.margin = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(actorWidth2, conf.actorMargin); + actor.margin = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(actorWidth2, conf.actorMargin); continue; } const messageWidth = actorToMessageWidth[actorKey]; const actorWidth = messageWidth + conf.actorMargin - actor.width / 2 - nextActor.width / 2; - actor.margin = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(actorWidth, conf.actorMargin); + actor.margin = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(actorWidth, conf.actorMargin); } let maxBoxHeight = 0; boxes.forEach((box) => { @@ -3067,11 +3050,11 @@ function calculateActorMargins(actors, actorToMessageWidth, boxes) { }, 0); totalWidth -= 2 * conf.boxTextMargin; if (box.wrap) { - box.name = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel(box.name, totalWidth - 2 * conf.wrapPadding, textFont); + box.name = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel(box.name, totalWidth - 2 * conf.wrapPadding, textFont); } - const boxMsgDimensions = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(box.name, textFont); - maxBoxHeight = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(boxMsgDimensions.height, maxBoxHeight); - const minWidth = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(totalWidth, boxMsgDimensions.width + 2 * conf.wrapPadding); + const boxMsgDimensions = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(box.name, textFont); + maxBoxHeight = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(boxMsgDimensions.height, maxBoxHeight); + const minWidth = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(totalWidth, boxMsgDimensions.width + 2 * conf.wrapPadding); box.margin = conf.boxTextMargin; if (totalWidth < minWidth) { const missing = (minWidth - totalWidth) / 2; @@ -3079,18 +3062,18 @@ function calculateActorMargins(actors, actorToMessageWidth, boxes) { } }); boxes.forEach((box) => box.textMaxHeight = maxBoxHeight); - return _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(maxHeight, conf.height); + return _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(maxHeight, conf.height); } const buildNoteModel = function(msg, actors, diagObj) { const startx = actors[msg.from].x; const stopx = actors[msg.to].x; const shouldWrap = msg.wrap && msg.message; - let textDimensions = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions( - shouldWrap ? _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel(msg.message, conf.width, noteFont(conf)) : msg.message, + let textDimensions = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions( + shouldWrap ? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel(msg.message, conf.width, noteFont(conf)) : msg.message, noteFont(conf) ); const noteModel = { - width: shouldWrap ? conf.width : _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, textDimensions.width + 2 * conf.noteMargin), + width: shouldWrap ? conf.width : _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, textDimensions.width + 2 * conf.noteMargin), height: 0, startx: actors[msg.from].x, stopx: 0, @@ -3099,27 +3082,27 @@ const buildNoteModel = function(msg, actors, diagObj) { message: msg.message }; if (msg.placement === diagObj.db.PLACEMENT.RIGHTOF) { - noteModel.width = shouldWrap ? _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, textDimensions.width) : _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + noteModel.width = shouldWrap ? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, textDimensions.width) : _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( actors[msg.from].width / 2 + actors[msg.to].width / 2, textDimensions.width + 2 * conf.noteMargin ); noteModel.startx = startx + 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_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions( + shouldWrap ? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel( msg.message, - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, actors[msg.from].width), + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, actors[msg.from].width), noteFont(conf) ) : msg.message, noteFont(conf) ); - noteModel.width = shouldWrap ? _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, actors[msg.from].width) : _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + noteModel.width = shouldWrap ? _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(conf.width, actors[msg.from].width) : _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( actors[msg.from].width, conf.width, textDimensions.width + 2 * conf.noteMargin @@ -3130,13 +3113,13 @@ const buildNoteModel = function(msg, actors, diagObj) { noteModel.startx = startx < stopx ? startx + actors[msg.from].width / 2 - conf.actorMargin / 2 : stopx + actors[msg.to].width / 2 - conf.actorMargin / 2; } if (shouldWrap) { - noteModel.message = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel( + noteModel.message = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel( msg.message, noteModel.width - 2 * conf.wrapPadding, noteFont(conf) ); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( `NM:[${noteModel.startx},${noteModel.stopx},${noteModel.starty},${noteModel.stopy}:${noteModel.width},${noteModel.height}=${msg.message}]` ); return noteModel; @@ -3176,15 +3159,15 @@ const buildMessageModel = function(msg, actors, diagObj) { const allBounds = [fromLeft, fromRight, toLeft, toRight]; const boundedWidth = Math.abs(startx - stopx); if (msg.wrap && msg.message) { - msg.message = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel( + msg.message = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.wrapLabel( msg.message, - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(boundedWidth + 2 * conf.wrapPadding, conf.width), + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(boundedWidth + 2 * conf.wrapPadding, conf.width), messageFont(conf) ); } - const msgDims = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(msg.message, messageFont(conf)); + const msgDims = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.calculateTextDimensions(msg.message, messageFont(conf)); return { - width: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + width: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( msg.wrap ? 0 : msgDims.width + 2 * conf.wrapPadding, boundedWidth + 2 * conf.wrapPadding, conf.width @@ -3206,7 +3189,7 @@ const calculateLoopBounds = function(messages, actors, _maxWidthPerActor, diagOb const stack = []; let current, noteModel, msgModel; messages.forEach(function(msg) { - msg.id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.random({ length: 10 }); + msg.id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.random({ length: 10 }); switch (msg.type) { case diagObj.db.LINETYPE.LOOP_START: case diagObj.db.LINETYPE.ALT_START: @@ -3269,9 +3252,9 @@ const calculateLoopBounds = function(messages, actors, _maxWidthPerActor, diagOb msg.noteModel = noteModel; stack.forEach((stk) => { current = stk; - current.from = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(current.from, noteModel.startx); - current.to = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(current.to, noteModel.startx + noteModel.width); - current.width = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(current.width, Math.abs(current.from - current.to)) - conf.labelBoxWidth; + current.from = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(current.from, noteModel.startx); + current.to = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(current.to, noteModel.startx + noteModel.width); + current.width = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(current.width, Math.abs(current.from - current.to)) - conf.labelBoxWidth; }); } else { msgModel = buildMessageModel(msg, actors, diagObj); @@ -3282,28 +3265,28 @@ const calculateLoopBounds = function(messages, actors, _maxWidthPerActor, diagOb if (msgModel.startx === msgModel.stopx) { const from = actors[msg.from]; const to = actors[msg.to]; - current.from = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin( + current.from = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin( from.x - msgModel.width / 2, from.x - from.width / 2, current.from ); - current.to = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( + current.to = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax( to.x + msgModel.width / 2, to.x + from.width / 2, current.to ); - current.width = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(current.width, Math.abs(current.to - current.from)) - conf.labelBoxWidth; + current.width = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(current.width, Math.abs(current.to - current.from)) - conf.labelBoxWidth; } else { - current.from = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(msgModel.startx, current.from); - current.to = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(msgModel.stopx, current.to); - current.width = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(current.width, msgModel.width) - conf.labelBoxWidth; + current.from = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMin(msgModel.startx, current.from); + current.to = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(msgModel.stopx, current.to); + current.width = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.getMax(current.width, msgModel.width) - conf.labelBoxWidth; } }); } } }); bounds.activations = []; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Loop type widths:", loops); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Loop type widths:", loops); return loops; }; const renderer = { @@ -3327,7 +3310,7 @@ const diagram = { /***/ }), -/***/ 72015: +/***/ 30291: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -3339,8 +3322,8 @@ const diagram = { /* harmony export */ f: () => (/* binding */ drawText), /* harmony export */ g: () => (/* binding */ getNoteRect) /* harmony export */ }); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(17967); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(86208); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); const drawRect = (element, rectData) => { @@ -3375,7 +3358,7 @@ const drawBackgroundRect = (element, bounds) => { rectElement.lower(); }; const drawText = (element, textData) => { - const nText = textData.text.replace(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.H, " "); + const nText = textData.text.replace(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.G, " "); const textElem = element.append("text"); textElem.attr("x", textData.x); textElem.attr("y", textData.y); @@ -3391,14 +3374,14 @@ const drawImage = (elem, x, y, link) => { const imageElement = elem.append("image"); imageElement.attr("x", x); imageElement.attr("y", y); - const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .Nm)(link); + const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .oR)(link); imageElement.attr("xlink:href", sanitizedLink); }; const drawEmbeddedImage = (element, x, y, link) => { const imageElement = element.append("use"); imageElement.attr("x", x); imageElement.attr("y", y); - const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .Nm)(link); + const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .oR)(link); imageElement.attr("xlink:href", `#${sanitizedLink}`); }; const getNoteRect = () => { diff --git a/assets/js/2924.230f719f.js b/assets/js/3448.4c6c5d6c.js similarity index 77% rename from assets/js/2924.230f719f.js rename to assets/js/3448.4c6c5d6c.js index d2108dafc..182941a0a 100644 --- a/assets/js/2924.230f719f.js +++ b/assets/js/3448.4c6c5d6c.js @@ -1 +1 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[2924],{42924:(t,e,s)=>{s.d(e,{d:()=>D,p:()=>r,s:()=>_});var n=s(64218),i=s(24743),u=function(){var t=function(t,e,s,n){for(s=s||{},n=t.length;n--;s[t[n]]=e);return 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87:u[a-2].push(u[a]),this.$=u[a-2]}},table:[{3:1,4:2,5:3,6:4,7:[1,6],10:5,16:37,17:20,18:38,20:7,22:8,23:9,24:10,25:11,26:12,27:13,28:14,29:15,30:16,31:e,33:s,35:n,36:21,40:i,41:22,44:u,45:r,47:a,48:c,50:o,52:l,53:h,54:A,55:p,56:y,66:d,67:E,69:C,73:m,74:f,76:b,80:F,95:g,97:k,98:T},{1:[3]},{1:[2,1]},{1:[2,2]},{1:[2,3]},t(B,[2,5],{8:[1,46]}),{8:[1,47]},t(D,[2,16],{21:[1,48]}),t(D,[2,18]),t(D,[2,19]),t(D,[2,20]),t(D,[2,21]),t(D,[2,22]),t(D,[2,23]),t(D,[2,24]),t(D,[2,25]),t(D,[2,26]),{32:[1,49]},{34:[1,50]},t(D,[2,29]),t(D,[2,45],{49:51,57:54,58:55,13:[1,52],21:[1,53],59:_,60:S,61:N,62:L,63:$,64:v,65:O}),{37:[1,63]},t(I,[2,36],{37:[1,65],42:[1,64]}),t(D,[2,47]),t(D,[2,48]),{16:66,74:f,80:F,95:g,97:k},{16:37,17:67,18:38,74:f,80:F,95:g,97:k,98:T},{16:37,17:68,18:38,74:f,80:F,95:g,97:k,98:T},{16:37,17:69,18:38,74:f,80:F,95:g,97:k,98:T},{74:[1,70]},{13:[1,71]},{16:37,17:72,18:38,74:f,80:F,95:g,97:k,98:T},{13:x,51:73},t(D,[2,55]),t(D,[2,56]),t(D,[2,57]),t(D,[2,58]),t(R,[2,11],{16:37,18:38,17:75,19:[1,76],74:f,80:F,95:g,97:k,98:T}),t(R,[2,12],{19:[1,77]}),{15:78,16:79,74:f,80:F,95:g,97:k},{16:37,17:80,18:38,74:f,80:F,95:g,97:k,98:T},t(w,[2,112]),t(w,[2,113]),t(w,[2,114]),t(w,[2,115]),t([1,8,9,12,13,19,21,37,39,42,59,60,61,62,63,64,65,70,72],[2,116]),t(B,[2,6],{10:5,20:7,22:8,23:9,24:10,25:11,26:12,27:13,28:14,29:15,30:16,17:20,36:21,41:22,16:37,18:38,5:81,31:e,33:s,35:n,40:i,44:u,45:r,47:a,48:c,50:o,52:l,53:h,54:A,55:p,56:y,66:d,67:E,69:C,73:m,74:f,76:b,80:F,95:g,97:k,98:T}),{5:82,10:5,16:37,17:20,18:38,20:7,22:8,23:9,24:10,25:11,26:12,27:13,28:14,29:15,30:16,31:e,33:s,35:n,36:21,40:i,41:22,44:u,45:r,47:a,48:c,50:o,52:l,53:h,54:A,55:p,56:y,66:d,67:E,69:C,73:m,74:f,76:b,80:F,95:g,97:k,98:T},t(D,[2,17]),t(D,[2,27]),t(D,[2,28]),{13:[1,84],16:37,17:83,18:38,74:f,80:F,95:g,97:k,98:T},{49:85,57:54,58:55,59:_,60:S,61:N,62:L,63:$,64:v,65:O},t(D,[2,46]),{58:86,64:v,65:O},t(P,[2,62],{57:87,59:_,60:S,61:N,62:L,63:$}),t(M,[2,63]),t(M,[2,64]),t(M,[2,65]),t(M,[2,66]),t(M,[2,67]),t(G,[2,68]),t(G,[2,69]),{8:[1,89],23:90,38:88,41:22,44:u},{16:91,74:f,80:F,95:g,97:k},{43:92,47:U},{46:[1,94]},{13:[1,95]},{13:[1,96]},{70:[1,97],72:[1,98]},{21:Y,73:z,74:K,75:99,77:100,79:101,80:j,81:Q,82:X,83:W,84:q,85:H},{74:[1,111]},{13:x,51:112},t(D,[2,54]),t(D,[2,117]),t(R,[2,13]),t(R,[2,14]),t(R,[2,15]),{37:[2,32]},{15:113,16:79,37:[2,9],74:f,80:F,95:g,97:k},t(J,[2,40],{11:114,12:[1,115]}),t(B,[2,7]),{9:[1,116]},t(V,[2,49]),{16:37,17:117,18:38,74:f,80:F,95:g,97:k,98:T},{13:[1,119],16:37,17:118,18:38,74:f,80:F,95:g,97:k,98:T},t(P,[2,61],{57:120,59:_,60:S,61:N,62:L,63:$}),t(P,[2,60]),{39:[1,121]},{23:90,38:122,41:22,44:u},{8:[1,123],39:[2,33]},t(I,[2,37],{37:[1,124]}),{39:[1,125]},{39:[2,43],43:126,47:U},{16:37,17:127,18:38,74:f,80:F,95:g,97:k,98:T},t(D,[2,70],{13:[1,128]}),t(D,[2,72],{13:[1,130],68:[1,129]}),t(D,[2,76],{13:[1,131],71:[1,132]}),{13:[1,133]},t(D,[2,84],{78:[1,134]}),t(Z,[2,86],{79:135,21:Y,73:z,74:K,80:j,81:Q,82:X,83:W,84:q,85:H}),t(tt,[2,88]),t(tt,[2,90]),t(tt,[2,91]),t(tt,[2,92]),t(tt,[2,93]),t(tt,[2,94]),t(tt,[2,95]),t(tt,[2,96]),t(tt,[2,97]),t(tt,[2,98]),t(D,[2,85]),t(D,[2,53]),{37:[2,10]},t(J,[2,41]),{13:[1,136]},{1:[2,4]},t(V,[2,51]),t(V,[2,50]),{16:37,17:137,18:38,74:f,80:F,95:g,97:k,98:T},t(P,[2,59]),t(D,[2,30]),{39:[1,138]},{23:90,38:139,39:[2,34],41:22,44:u},{43:140,47:U},t(I,[2,38]),{39:[2,44]},t(D,[2,42]),t(D,[2,71]),t(D,[2,73]),t(D,[2,74],{68:[1,141]}),t(D,[2,77]),t(D,[2,78],{13:[1,142]}),t(D,[2,80],{13:[1,144],68:[1,143]}),{21:Y,73:z,74:K,77:145,79:101,80:j,81:Q,82:X,83:W,84:q,85:H},t(tt,[2,89]),{14:[1,146]},t(V,[2,52]),t(D,[2,31]),{39:[2,35]},{39:[1,147]},t(D,[2,75]),t(D,[2,79]),t(D,[2,81]),t(D,[2,82],{68:[1,148]}),t(Z,[2,87],{79:135,21:Y,73:z,74:K,80:j,81:Q,82:X,83:W,84:q,85:H}),t(J,[2,8]),t(I,[2,39]),t(D,[2,83])],defaultActions:{2:[2,1],3:[2,2],4:[2,3],78:[2,32],113:[2,10],116:[2,4],126:[2,44],139:[2,35]},parseError:function(t,e){if(!e.recoverable){var s=new Error(t);throw s.hash=e,s}this.trace(t)},parse:function(t){var e=this,s=[0],n=[],i=[null],u=[],r=this.table,a="",c=0,o=0,l=u.slice.call(arguments,1),h=Object.create(this.lexer),A={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(A.yy[p]=this.yy[p]);h.setInput(t,A.yy),A.yy.lexer=h,A.yy.parser=this,void 0===h.yylloc&&(h.yylloc={});var y=h.yylloc;u.push(y);var d=h.options&&h.options.ranges;"function"==typeof A.yy.parseError?this.parseError=A.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var E,C,m,f,b,F,g,k,T,B={};;){if(C=s[s.length-1],this.defaultActions[C]?m=this.defaultActions[C]:(null==E&&(T=void 0,"number"!=typeof(T=n.pop()||h.lex()||1)&&(T instanceof Array&&(T=(n=T).pop()),T=e.symbols_[T]||T),E=T),m=r[C]&&r[C][E]),void 0===m||!m.length||!m[0]){var D="";for(b in k=[],r[C])this.terminals_[b]&&b>2&&k.push("'"+this.terminals_[b]+"'");D=h.showPosition?"Parse error on line "+(c+1)+":\n"+h.showPosition()+"\nExpecting "+k.join(", ")+", got '"+(this.terminals_[E]||E)+"'":"Parse error on line "+(c+1)+": Unexpected "+(1==E?"end of input":"'"+(this.terminals_[E]||E)+"'"),this.parseError(D,{text:h.match,token:this.terminals_[E]||E,line:h.yylineno,loc:y,expected:k})}if(m[0]instanceof Array&&m.length>1)throw new Error("Parse Error: multiple actions possible at state: "+C+", token: "+E);switch(m[0]){case 1:s.push(E),i.push(h.yytext),u.push(h.yylloc),s.push(m[1]),E=null,o=h.yyleng,a=h.yytext,c=h.yylineno,y=h.yylloc;break;case 2:if(F=this.productions_[m[1]][1],B.$=i[i.length-F],B._$={first_line:u[u.length-(F||1)].first_line,last_line:u[u.length-1].last_line,first_column:u[u.length-(F||1)].first_column,last_column:u[u.length-1].last_column},d&&(B._$.range=[u[u.length-(F||1)].range[0],u[u.length-1].range[1]]),void 0!==(f=this.performAction.apply(B,[a,o,c,A.yy,m[1],i,u].concat(l))))return f;F&&(s=s.slice(0,-1*F*2),i=i.slice(0,-1*F),u=u.slice(0,-1*F)),s.push(this.productions_[m[1]][0]),i.push(B.$),u.push(B._$),g=r[s[s.length-2]][s[s.length-1]],s.push(g);break;case 3:return!0}}return!0}},st={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,s=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var n=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),s.length-1&&(this.yylineno-=s.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:s?(s.length===n.length?this.yylloc.first_column:0)+n[n.length-s.length].length-s[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var s,n,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(n=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=n.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:n?n[n.length-1].length-n[n.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],s=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),s)return s;if(this._backtrack){for(var u in i)this[u]=i[u];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,s,n;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),u=0;u<i.length;u++)if((s=this._input.match(this.rules[i[u]]))&&(!e||s[0].length>e[0].length)){if(e=s,n=u,this.options.backtrack_lexer){if(!1!==(t=this.test_match(s,i[u])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,i[n]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,s,n){switch(s){case 0:return 53;case 1:return 54;case 2:return 55;case 3:return 56;case 4:case 5:case 14:case 30:case 35:case 39:case 46:break;case 6:return this.begin("acc_title"),31;case 7:return this.popState(),"acc_title_value";case 8:return this.begin("acc_descr"),33;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:case 19:case 22:case 24:case 57:case 60:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:case 34:return 8;case 15:case 16:return 7;case 17:case 36:case 44:return"EDGE_STATE";case 18:this.begin("callback_name");break;case 20:this.popState(),this.begin("callback_args");break;case 21:return 70;case 23:return 71;case 25:return"STR";case 26:this.begin("string");break;case 27:return 73;case 28:return this.begin("namespace"),40;case 29:case 38:return this.popState(),8;case 31:return this.begin("namespace-body"),37;case 32:case 42:return this.popState(),39;case 33:case 43:return"EOF_IN_STRUCT";case 37:return this.begin("class"),44;case 40:return this.popState(),this.popState(),39;case 41:return this.begin("class-body"),37;case 45:return"OPEN_IN_STRUCT";case 47:return"MEMBER";case 48:return 76;case 49:return 66;case 50:return 67;case 51:return 69;case 52:return 50;case 53:return 52;case 54:return 45;case 55:return 46;case 56:return 72;case 58:return"GENERICTYPE";case 59:this.begin("generic");break;case 61:return"BQUOTE_STR";case 62:this.begin("bqstring");break;case 63:case 64:case 65:case 66:return 68;case 67:case 68:return 60;case 69:case 70:return 62;case 71:return 61;case 72:return 59;case 73:return 63;case 74:return 64;case 75:return 65;case 76:return 21;case 77:return 42;case 78:return 95;case 79:return"DOT";case 80:return"PLUS";case 81:return 81;case 82:return 78;case 83:case 84:return 84;case 85:return 85;case 86:case 87:return"EQUALS";case 88:return 74;case 89:return 12;case 90:return 14;case 91:return"PUNCTUATION";case 92:return 80;case 93:return 97;case 94:case 95:return 83;case 96:return 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87:u[a-2].push(u[a]),this.$=u[a-2]}},table:[{3:1,4:2,5:3,6:4,7:[1,6],10:5,16:37,17:20,18:38,20:7,22:8,23:9,24:10,25:11,26:12,27:13,28:14,29:15,30:16,31:e,33:s,35:n,36:21,40:i,41:22,44:u,45:r,47:a,48:c,50:o,52:l,53:h,54:A,55:p,56:y,66:d,67:E,69:C,73:m,74:f,76:b,80:F,95:g,97:k,98:T},{1:[3]},{1:[2,1]},{1:[2,2]},{1:[2,3]},t(D,[2,5],{8:[1,46]}),{8:[1,47]},t(B,[2,16],{21:[1,48]}),t(B,[2,18]),t(B,[2,19]),t(B,[2,20]),t(B,[2,21]),t(B,[2,22]),t(B,[2,23]),t(B,[2,24]),t(B,[2,25]),t(B,[2,26]),{32:[1,49]},{34:[1,50]},t(B,[2,29]),t(B,[2,45],{49:51,57:54,58:55,13:[1,52],21:[1,53],59:_,60:S,61:N,62:L,63:$,64:v,65:O}),{37:[1,63]},t(I,[2,36],{37:[1,65],42:[1,64]}),t(B,[2,47]),t(B,[2,48]),{16:66,74:f,80:F,95:g,97:k},{16:37,17:67,18:38,74:f,80:F,95:g,97:k,98:T},{16:37,17:68,18:38,74:f,80:F,95:g,97:k,98:T},{16:37,17:69,18:38,74:f,80:F,95:g,97:k,98:T},{74:[1,70]},{13:[1,71]},{16:37,17:72,18:38,74:f,80:F,95:g,97:k,98:T},{13:x,51:73},t(B,[2,55]),t(B,[2,56]),t(B,[2,57]),t(B,[2,58]),t(R,[2,11],{16:37,18:38,17:75,19:[1,76],74:f,80:F,95:g,97:k,98:T}),t(R,[2,12],{19:[1,77]}),{15:78,16:79,74:f,80:F,95:g,97:k},{16:37,17:80,18:38,74:f,80:F,95:g,97:k,98:T},t(w,[2,112]),t(w,[2,113]),t(w,[2,114]),t(w,[2,115]),t([1,8,9,12,13,19,21,37,39,42,59,60,61,62,63,64,65,70,72],[2,116]),t(D,[2,6],{10:5,20:7,22:8,23:9,24:10,25:11,26:12,27:13,28:14,29:15,30:16,17:20,36:21,41:22,16:37,18:38,5:81,31:e,33:s,35:n,40:i,44:u,45:r,47:a,48:c,50:o,52:l,53:h,54:A,55:p,56:y,66:d,67:E,69:C,73:m,74:f,76:b,80:F,95:g,97:k,98:T}),{5:82,10:5,16:37,17:20,18:38,20:7,22:8,23:9,24:10,25:11,26:12,27:13,28:14,29:15,30:16,31:e,33:s,35:n,36:21,40:i,41:22,44:u,45:r,47:a,48:c,50:o,52:l,53:h,54:A,55:p,56:y,66:d,67:E,69:C,73:m,74:f,76:b,80:F,95:g,97:k,98:T},t(B,[2,17]),t(B,[2,27]),t(B,[2,28]),{13:[1,84],16:37,17:83,18:38,74:f,80:F,95:g,97:k,98:T},{49:85,57:54,58:55,59:_,60:S,61:N,62:L,63:$,64:v,65:O},t(B,[2,46]),{58:86,64:v,65:O},t(P,[2,62],{57:87,59:_,60:S,61:N,62:L,63:$}),t(M,[2,63]),t(M,[2,64]),t(M,[2,65]),t(M,[2,66]),t(M,[2,67]),t(G,[2,68]),t(G,[2,69]),{8:[1,89],23:90,38:88,41:22,44:u},{16:91,74:f,80:F,95:g,97:k},{43:92,47:U},{46:[1,94]},{13:[1,95]},{13:[1,96]},{70:[1,97],72:[1,98]},{21:z,73:K,74:Y,75:99,77:100,79:101,80:j,81:Q,82:X,83:W,84:q,85:H},{74:[1,111]},{13:x,51:112},t(B,[2,54]),t(B,[2,117]),t(R,[2,13]),t(R,[2,14]),t(R,[2,15]),{37:[2,32]},{15:113,16:79,37:[2,9],74:f,80:F,95:g,97:k},t(J,[2,40],{11:114,12:[1,115]}),t(D,[2,7]),{9:[1,116]},t(V,[2,49]),{16:37,17:117,18:38,74:f,80:F,95:g,97:k,98:T},{13:[1,119],16:37,17:118,18:38,74:f,80:F,95:g,97:k,98:T},t(P,[2,61],{57:120,59:_,60:S,61:N,62:L,63:$}),t(P,[2,60]),{39:[1,121]},{23:90,38:122,41:22,44:u},{8:[1,123],39:[2,33]},t(I,[2,37],{37:[1,124]}),{39:[1,125]},{39:[2,43],43:126,47:U},{16:37,17:127,18:38,74:f,80:F,95:g,97:k,98:T},t(B,[2,70],{13:[1,128]}),t(B,[2,72],{13:[1,130],68:[1,129]}),t(B,[2,76],{13:[1,131],71:[1,132]}),{13:[1,133]},t(B,[2,84],{78:[1,134]}),t(Z,[2,86],{79:135,21:z,73:K,74:Y,80:j,81:Q,82:X,83:W,84:q,85:H}),t(tt,[2,88]),t(tt,[2,90]),t(tt,[2,91]),t(tt,[2,92]),t(tt,[2,93]),t(tt,[2,94]),t(tt,[2,95]),t(tt,[2,96]),t(tt,[2,97]),t(tt,[2,98]),t(B,[2,85]),t(B,[2,53]),{37:[2,10]},t(J,[2,41]),{13:[1,136]},{1:[2,4]},t(V,[2,51]),t(V,[2,50]),{16:37,17:137,18:38,74:f,80:F,95:g,97:k,98:T},t(P,[2,59]),t(B,[2,30]),{39:[1,138]},{23:90,38:139,39:[2,34],41:22,44:u},{43:140,47:U},t(I,[2,38]),{39:[2,44]},t(B,[2,42]),t(B,[2,71]),t(B,[2,73]),t(B,[2,74],{68:[1,141]}),t(B,[2,77]),t(B,[2,78],{13:[1,142]}),t(B,[2,80],{13:[1,144],68:[1,143]}),{21:z,73:K,74:Y,77:145,79:101,80:j,81:Q,82:X,83:W,84:q,85:H},t(tt,[2,89]),{14:[1,146]},t(V,[2,52]),t(B,[2,31]),{39:[2,35]},{39:[1,147]},t(B,[2,75]),t(B,[2,79]),t(B,[2,81]),t(B,[2,82],{68:[1,148]}),t(Z,[2,87],{79:135,21:z,73:K,74:Y,80:j,81:Q,82:X,83:W,84:q,85:H}),t(J,[2,8]),t(I,[2,39]),t(B,[2,83])],defaultActions:{2:[2,1],3:[2,2],4:[2,3],78:[2,32],113:[2,10],116:[2,4],126:[2,44],139:[2,35]},parseError:function(t,e){if(!e.recoverable){var s=new Error(t);throw s.hash=e,s}this.trace(t)},parse:function(t){var e=this,s=[0],n=[],i=[null],u=[],r=this.table,a="",c=0,o=0,l=u.slice.call(arguments,1),h=Object.create(this.lexer),A={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(A.yy[p]=this.yy[p]);h.setInput(t,A.yy),A.yy.lexer=h,A.yy.parser=this,void 0===h.yylloc&&(h.yylloc={});var y=h.yylloc;u.push(y);var d=h.options&&h.options.ranges;"function"==typeof A.yy.parseError?this.parseError=A.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var E,C,m,f,b,F,g,k,T,D={};;){if(C=s[s.length-1],this.defaultActions[C]?m=this.defaultActions[C]:(null==E&&(T=void 0,"number"!=typeof(T=n.pop()||h.lex()||1)&&(T instanceof Array&&(T=(n=T).pop()),T=e.symbols_[T]||T),E=T),m=r[C]&&r[C][E]),void 0===m||!m.length||!m[0]){var B="";for(b in k=[],r[C])this.terminals_[b]&&b>2&&k.push("'"+this.terminals_[b]+"'");B=h.showPosition?"Parse error on line "+(c+1)+":\n"+h.showPosition()+"\nExpecting "+k.join(", ")+", got '"+(this.terminals_[E]||E)+"'":"Parse error on line "+(c+1)+": Unexpected "+(1==E?"end of input":"'"+(this.terminals_[E]||E)+"'"),this.parseError(B,{text:h.match,token:this.terminals_[E]||E,line:h.yylineno,loc:y,expected:k})}if(m[0]instanceof Array&&m.length>1)throw new Error("Parse Error: multiple actions possible at state: "+C+", token: "+E);switch(m[0]){case 1:s.push(E),i.push(h.yytext),u.push(h.yylloc),s.push(m[1]),E=null,o=h.yyleng,a=h.yytext,c=h.yylineno,y=h.yylloc;break;case 2:if(F=this.productions_[m[1]][1],D.$=i[i.length-F],D._$={first_line:u[u.length-(F||1)].first_line,last_line:u[u.length-1].last_line,first_column:u[u.length-(F||1)].first_column,last_column:u[u.length-1].last_column},d&&(D._$.range=[u[u.length-(F||1)].range[0],u[u.length-1].range[1]]),void 0!==(f=this.performAction.apply(D,[a,o,c,A.yy,m[1],i,u].concat(l))))return f;F&&(s=s.slice(0,-1*F*2),i=i.slice(0,-1*F),u=u.slice(0,-1*F)),s.push(this.productions_[m[1]][0]),i.push(D.$),u.push(D._$),g=r[s[s.length-2]][s[s.length-1]],s.push(g);break;case 3:return!0}}return!0}},st={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,s=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var n=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),s.length-1&&(this.yylineno-=s.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:s?(s.length===n.length?this.yylloc.first_column:0)+n[n.length-s.length].length-s[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var s,n,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(n=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=n.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:n?n[n.length-1].length-n[n.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],s=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),s)return s;if(this._backtrack){for(var u in i)this[u]=i[u];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,s,n;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),u=0;u<i.length;u++)if((s=this._input.match(this.rules[i[u]]))&&(!e||s[0].length>e[0].length)){if(e=s,n=u,this.options.backtrack_lexer){if(!1!==(t=this.test_match(s,i[u])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,i[n]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,s,n){switch(s){case 0:return 53;case 1:return 54;case 2:return 55;case 3:return 56;case 4:case 5:case 14:case 30:case 35:case 39:case 46:break;case 6:return this.begin("acc_title"),31;case 7:return this.popState(),"acc_title_value";case 8:return this.begin("acc_descr"),33;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:case 19:case 22:case 24:case 57:case 60:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:case 34:return 8;case 15:case 16:return 7;case 17:case 36:case 44:return"EDGE_STATE";case 18:this.begin("callback_name");break;case 20:this.popState(),this.begin("callback_args");break;case 21:return 70;case 23:return 71;case 25:return"STR";case 26:this.begin("string");break;case 27:return 73;case 28:return this.begin("namespace"),40;case 29:case 38:return this.popState(),8;case 31:return this.begin("namespace-body"),37;case 32:case 42:return this.popState(),39;case 33:case 43:return"EOF_IN_STRUCT";case 37:return this.begin("class"),44;case 40:return this.popState(),this.popState(),39;case 41:return this.begin("class-body"),37;case 45:return"OPEN_IN_STRUCT";case 47:return"MEMBER";case 48:return 76;case 49:return 66;case 50:return 67;case 51:return 69;case 52:return 50;case 53:return 52;case 54:return 45;case 55:return 46;case 56:return 72;case 58:return"GENERICTYPE";case 59:this.begin("generic");break;case 61:return"BQUOTE_STR";case 62:this.begin("bqstring");break;case 63:case 64:case 65:case 66:return 68;case 67:case 68:return 60;case 69:case 70:return 62;case 71:return 61;case 72:return 59;case 73:return 63;case 74:return 64;case 75:return 65;case 76:return 21;case 77:return 42;case 78:return 95;case 79:return"DOT";case 80:return"PLUS";case 81:return 81;case 82:return 78;case 83:case 84:return 84;case 85:return 85;case 86:case 87:return"EQUALS";case 88:return 74;case 89:return 12;case 90:return 14;case 91:return"PUNCTUATION";case 92:return 80;case 93:return 97;case 94:case 95:return 83;case 96:return 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a/assets/js/304.7bb2edca.js b/assets/js/36.2303b471.js similarity index 95% rename from assets/js/304.7bb2edca.js rename to assets/js/36.2303b471.js index 6e43e3013..539c18fec 100644 --- a/assets/js/304.7bb2edca.js +++ b/assets/js/36.2303b471.js @@ -1,22 +1,22 @@ "use strict"; -exports.id = 304; -exports.ids = [304]; +exports.id = 36; +exports.ids = [36]; exports.modules = { -/***/ 43304: +/***/ 53036: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(91619); -/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(12281); -/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(7201); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(22424); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(34176); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(67612); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(85219); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(57776); @@ -577,13 +577,13 @@ let currentTaskId = 0; const sections = []; const tasks = []; const rawTasks = []; -const getCommonDb = () => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.K; +const getCommonDb = () => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.I; const clear = function() { sections.length = 0; tasks.length = 0; currentSection = ""; rawTasks.length = 0; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.t)(); }; const addSection = function(txt) { currentSection = txt; @@ -685,11 +685,11 @@ const drawFace = function(element, faceData) { face.append("circle").attr("cx", faceData.cx - radius / 3).attr("cy", faceData.cy - radius / 3).attr("r", 1.5).attr("stroke-width", 2).attr("fill", "#666").attr("stroke", "#666"); face.append("circle").attr("cx", faceData.cx + radius / 3).attr("cy", faceData.cy - radius / 3).attr("r", 1.5).attr("stroke-width", 2).attr("fill", "#666").attr("stroke", "#666"); function smile(face2) { - const arc$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .Nb1)().startAngle(Math.PI / 2).endAngle(3 * (Math.PI / 2)).innerRadius(radius / 2).outerRadius(radius / 2.2); + const arc$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .qoN)().startAngle(Math.PI / 2).endAngle(3 * (Math.PI / 2)).innerRadius(radius / 2).outerRadius(radius / 2.2); face2.append("path").attr("class", "mouth").attr("d", arc$1).attr("transform", "translate(" + faceData.cx + "," + (faceData.cy + 2) + ")"); } function sad(face2) { - const arc$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .Nb1)().startAngle(3 * Math.PI / 2).endAngle(5 * (Math.PI / 2)).innerRadius(radius / 2).outerRadius(radius / 2.2); + const arc$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .qoN)().startAngle(3 * Math.PI / 2).endAngle(5 * (Math.PI / 2)).innerRadius(radius / 2).outerRadius(radius / 2.2); face2.append("path").attr("class", "mouth").attr("d", arc$1).attr("transform", "translate(" + faceData.cx + "," + (faceData.cy + 7) + ")"); } function ambivalent(face2) { @@ -880,7 +880,7 @@ const initGraphics = function(graphics) { }; function wrap(text, width) { text.each(function() { - var text2 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this), words = text2.text().split(/(\s+|<br>)/).reverse(), word, line = [], lineHeight = 1.1, y = text2.attr("y"), dy = parseFloat(text2.attr("dy")), tspan = text2.text(null).append("tspan").attr("x", 0).attr("y", y).attr("dy", dy + "em"); + var text2 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this), words = text2.text().split(/(\s+|<br>)/).reverse(), word, line = [], lineHeight = 1.1, y = text2.attr("y"), dy = parseFloat(text2.attr("dy")), tspan = text2.text(null).append("tspan").attr("x", 0).attr("y", y).attr("dy", dy + "em"); for (let j = 0; j < words.length; j++) { word = words[words.length - 1 - j]; line.push(word); @@ -950,23 +950,23 @@ const svgDraw = { }; const draw = function(text, id, version, diagObj) { var _a, _b; - const conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + const conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const LEFT_MARGIN = conf.leftMargin ?? 50; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("timeline", diagObj.db); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("timeline", diagObj.db); const securityLevel = conf.securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); const svg = root.select("#" + id); svg.append("g"); const tasks2 = diagObj.db.getTasks(); const title = diagObj.db.getCommonDb().getDiagramTitle(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("task", tasks2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("task", tasks2); svgDraw.initGraphics(svg); const sections2 = diagObj.db.getSections(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("sections", sections2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("sections", sections2); let maxSectionHeight = 0; let maxTaskHeight = 0; let depthY = 0; @@ -986,12 +986,12 @@ const draw = function(text, id, version, diagObj) { maxHeight: maxSectionHeight }; const sectionHeight = svgDraw.getVirtualNodeHeight(svg, sectionNode, conf); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("sectionHeight before draw", sectionHeight); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("sectionHeight before draw", sectionHeight); maxSectionHeight = Math.max(maxSectionHeight, sectionHeight + 20); }); let maxEventCount = 0; let maxEventLineLength = 0; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("tasks.length", tasks2.length); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("tasks.length", tasks2.length); for (const [i, task] of tasks2.entries()) { const taskNode = { number: i, @@ -1002,7 +1002,7 @@ const draw = function(text, id, version, diagObj) { maxHeight: maxTaskHeight }; const taskHeight = svgDraw.getVirtualNodeHeight(svg, taskNode, conf); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("taskHeight before draw", taskHeight); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("taskHeight before draw", taskHeight); maxTaskHeight = Math.max(maxTaskHeight, taskHeight + 20); maxEventCount = Math.max(maxEventCount, task.events.length); let maxEventLineLengthTemp = 0; @@ -1020,8 +1020,8 @@ const draw = function(text, id, version, diagObj) { } maxEventLineLength = Math.max(maxEventLineLength, maxEventLineLengthTemp); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("maxSectionHeight before draw", maxSectionHeight); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("maxTaskHeight before draw", maxTaskHeight); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("maxSectionHeight before draw", maxSectionHeight); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("maxTaskHeight before draw", maxTaskHeight); if (sections2 && sections2.length > 0) { sections2.forEach((section) => { const tasksForSection = tasks2.filter((task) => task.section === section); @@ -1033,10 +1033,10 @@ const draw = function(text, id, version, diagObj) { padding: 20, maxHeight: maxSectionHeight }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("sectionNode", sectionNode); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("sectionNode", sectionNode); const sectionNodeWrapper = svg.append("g"); const node = svgDraw.drawNode(sectionNodeWrapper, sectionNode, sectionNumber, conf); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("sectionNode output", node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("sectionNode output", node); sectionNodeWrapper.attr("transform", `translate(${masterX}, ${sectionBeginY})`); masterY += maxSectionHeight + 50; if (tasksForSection.length > 0) { @@ -1075,14 +1075,14 @@ const draw = function(text, id, version, diagObj) { ); } const box = svg.node().getBBox(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("bounds", box); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("bounds", box); if (title) { svg.append("text").text(title).attr("x", box.width / 2 - LEFT_MARGIN).attr("font-size", "4ex").attr("font-weight", "bold").attr("y", 20); } depthY = hasSections ? maxSectionHeight + maxTaskHeight + 150 : maxTaskHeight + 100; const lineWrapper = svg.append("g").attr("class", "lineWrapper"); lineWrapper.append("line").attr("x1", LEFT_MARGIN).attr("y1", depthY).attr("x2", box.width + 3 * LEFT_MARGIN).attr("y2", depthY).attr("stroke-width", 4).attr("stroke", "black").attr("marker-end", "url(#arrowhead)"); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.o)( + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.o)( void 0, svg, ((_a = conf.timeline) == null ? void 0 : _a.padding) ?? 50, @@ -1100,11 +1100,11 @@ const drawTasks = function(diagram2, tasks2, sectionColor, masterX, masterY, max padding: 20, maxHeight: maxTaskHeight }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("taskNode", taskNode); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("taskNode", taskNode); const taskWrapper = diagram2.append("g").attr("class", "taskWrapper"); const node = svgDraw.drawNode(taskWrapper, taskNode, sectionColor, conf); const taskHeight = node.height; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("taskHeight after draw", taskHeight); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("taskHeight after draw", taskHeight); taskWrapper.attr("transform", `translate(${masterX}, ${masterY})`); maxTaskHeight = Math.max(maxTaskHeight, taskHeight); if (task.events) { @@ -1138,7 +1138,7 @@ const drawEvents = function(diagram2, events, sectionColor, masterX, masterY, co padding: 20, maxHeight: 50 }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("eventNode", eventNode); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("eventNode", eventNode); const eventWrapper = diagram2.append("g").attr("class", "eventWrapper"); const node = svgDraw.drawNode(eventWrapper, eventNode, sectionColor, conf); const eventHeight = node.height; @@ -1158,10 +1158,10 @@ const genSections = (options) => { let sections2 = ""; 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43:this.$={stmt:"state",id:r[a-2].trim(),classes:[r[a].trim()],type:"default",description:""}}},table:[{3:1,4:e,5:s,6:i},{1:[3]},{3:5,4:e,5:s,6:i},{3:6,4:e,5:s,6:i},t([1,4,5,15,16,18,21,23,24,25,26,27,28,32,34,36,37,41,44,45,46,47,50],n,{7:7}),{1:[2,1]},{1:[2,2]},{1:[2,3],4:r,5:o,8:8,9:10,10:12,11:13,12:14,15:a,16:c,18:l,21:h,23:u,24:d,25:p,26:y,27:f,28:m,31:24,32:g,34:S,36:_,37:k,41:T,44:b,45:E,46:x,47:C,50:$},t(v,[2,5]),{9:36,10:12,11:13,12:14,15:a,16:c,18:l,21:h,23:u,24:d,25:p,26:y,27:f,28:m,31:24,32:g,34:S,36:_,37:k,41:T,44:b,45:E,46:x,47:C,50:$},t(v,[2,7]),t(v,[2,8]),t(v,[2,9]),t(v,[2,10]),t(v,[2,11],{13:[1,37],14:[1,38]}),t(v,[2,15]),{17:[1,39]},t(v,[2,17],{19:[1,40]}),{22:[1,41]},t(v,[2,21]),t(v,[2,22]),t(v,[2,23]),t(v,[2,24]),{29:42,30:[1,43],52:[1,44],53:[1,45]},t(v,[2,27]),{33:[1,46]},{35:[1,47]},t(v,[2,30]),{38:[1,48],40:[1,49]},{42:[1,50]},t(D,[2,40],{51:[1,51]}),t(D,[2,41],{51:[1,52]}),t(v,[2,34]),t(v,[2,35]),t(v,[2,36]),t(v,[2,37]),t(v,[2,6]),t(v,[2,12]),{12:53,23:u,50:$},t(v,[2,16]),t(A,n,{7:54}),{23:[1,55]},{23:[1,56]},{22:[1,57]},{23:[2,44]},{23:[2,45]},t(v,[2,28]),t(v,[2,29]),{39:[1,58]},{39:[1,59]},{43:[1,60]},{23:[1,61]},{23:[1,62]},t(v,[2,13],{13:[1,63]}),{4:r,5:o,8:8,9:10,10:12,11:13,12:14,15:a,16:c,18:l,20:[1,64],21:h,23:u,24:d,25:p,26:y,27:f,28:m,31:24,32:g,34:S,36:_,37:k,41:T,44:b,45:E,46:x,47:C,50:$},t(v,[2,19],{19:[1,65]}),{30:[1,66]},{23:[1,67]},t(v,[2,31]),t(v,[2,32]),t(v,[2,33]),t(D,[2,42]),t(D,[2,43]),t(v,[2,14]),t(v,[2,18]),t(A,n,{7:68}),t(v,[2,25]),t(v,[2,26]),{4:r,5:o,8:8,9:10,10:12,11:13,12:14,15:a,16:c,18:l,20:[1,69],21:h,23:u,24:d,25:p,26:y,27:f,28:m,31:24,32:g,34:S,36:_,37:k,41:T,44:b,45:E,46:x,47:C,50:$},t(v,[2,20])],defaultActions:{5:[2,1],6:[2,2],44:[2,44],45:[2,45]},parseError:function(t,e){if(!e.recoverable){var s=new Error(t);throw s.hash=e,s}this.trace(t)},parse:function(t){var e=this,s=[0],i=[],n=[null],r=[],o=this.table,a="",c=0,l=0,h=r.slice.call(arguments,1),u=Object.create(this.lexer),d={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(d.yy[p]=this.yy[p]);u.setInput(t,d.yy),d.yy.lexer=u,d.yy.parser=this,void 0===u.yylloc&&(u.yylloc={});var y=u.yylloc;r.push(y);var f=u.options&&u.options.ranges;"function"==typeof d.yy.parseError?this.parseError=d.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,g,S,_,k,T,b,E,x,C={};;){if(g=s[s.length-1],this.defaultActions[g]?S=this.defaultActions[g]:(null==m&&(x=void 0,"number"!=typeof(x=i.pop()||u.lex()||1)&&(x instanceof Array&&(x=(i=x).pop()),x=e.symbols_[x]||x),m=x),S=o[g]&&o[g][m]),void 0===S||!S.length||!S[0]){var $="";for(k in E=[],o[g])this.terminals_[k]&&k>2&&E.push("'"+this.terminals_[k]+"'");$=u.showPosition?"Parse error on line "+(c+1)+":\n"+u.showPosition()+"\nExpecting "+E.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(1==m?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError($,{text:u.match,token:this.terminals_[m]||m,line:u.yylineno,loc:y,expected:E})}if(S[0]instanceof Array&&S.length>1)throw new Error("Parse Error: multiple actions possible at state: "+g+", token: "+m);switch(S[0]){case 1:s.push(m),n.push(u.yytext),r.push(u.yylloc),s.push(S[1]),m=null,l=u.yyleng,a=u.yytext,c=u.yylineno,y=u.yylloc;break;case 2:if(T=this.productions_[S[1]][1],C.$=n[n.length-T],C._$={first_line:r[r.length-(T||1)].first_line,last_line:r[r.length-1].last_line,first_column:r[r.length-(T||1)].first_column,last_column:r[r.length-1].last_column},f&&(C._$.range=[r[r.length-(T||1)].range[0],r[r.length-1].range[1]]),void 0!==(_=this.performAction.apply(C,[a,l,c,d.yy,S[1],n,r].concat(h))))return _;T&&(s=s.slice(0,-1*T*2),n=n.slice(0,-1*T),r=r.slice(0,-1*T)),s.push(this.productions_[S[1]][0]),n.push(C.$),r.push(C._$),b=o[s[s.length-2]][s[s.length-1]],s.push(b);break;case 3:return!0}}return!0}},I={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,s=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),s.length-1&&(this.yylineno-=s.length-1);var n=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:s?(s.length===i.length?this.yylloc.first_column:0)+i[i.length-s.length].length-s[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[n[0],n[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var s,i,n;if(this.options.backtrack_lexer&&(n={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(n.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],s=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),s)return s;if(this._backtrack){for(var r in n)this[r]=n[r];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,s,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var n=this._currentRules(),r=0;r<n.length;r++)if((s=this._input.match(this.rules[n[r]]))&&(!e||s[0].length>e[0].length)){if(e=s,i=r,this.options.backtrack_lexer){if(!1!==(t=this.test_match(s,n[r])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,n[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,s,i){switch(s){case 0:return 40;case 1:case 39:return 44;case 2:case 40:return 45;case 3:case 41:return 46;case 4:case 42:return 47;case 5:case 6:case 8:case 9:case 10:case 11:case 51:case 53:case 59:break;case 7:case 74:return 5;case 12:case 29:return this.pushState("SCALE"),16;case 13:case 30:return 17;case 14:case 20:case 31:case 46:case 49:this.popState();break;case 15:return this.begin("acc_title"),32;case 16:return this.popState(),"acc_title_value";case 17:return this.begin("acc_descr"),34;case 18:return this.popState(),"acc_descr_value";case 19:this.begin("acc_descr_multiline");break;case 21:return"acc_descr_multiline_value";case 22:return this.pushState("CLASSDEF"),37;case 23:return this.popState(),this.pushState("CLASSDEFID"),"DEFAULT_CLASSDEF_ID";case 24:return this.popState(),this.pushState("CLASSDEFID"),38;case 25:return this.popState(),39;case 26:return this.pushState("CLASS"),41;case 27:return this.popState(),this.pushState("CLASS_STYLE"),42;case 28:return this.popState(),43;case 32:this.pushState("STATE");break;case 33:case 36:return this.popState(),e.yytext=e.yytext.slice(0,-8).trim(),24;case 34:case 37:return this.popState(),e.yytext=e.yytext.slice(0,-8).trim(),25;case 35:case 38:return this.popState(),e.yytext=e.yytext.slice(0,-10).trim(),26;case 43:this.pushState("STATE_STRING");break;case 44:return this.pushState("STATE_ID"),"AS";case 45:case 61:return this.popState(),"ID";case 47:return"STATE_DESCR";case 48:return 18;case 50:return this.popState(),this.pushState("struct"),19;case 52:return this.popState(),20;case 54:return this.begin("NOTE"),28;case 55:return this.popState(),this.pushState("NOTE_ID"),52;case 56:return this.popState(),this.pushState("NOTE_ID"),53;case 57:this.popState(),this.pushState("FLOATING_NOTE");break;case 58:return this.popState(),this.pushState("FLOATING_NOTE_ID"),"AS";case 60:return"NOTE_TEXT";case 62:return this.popState(),this.pushState("NOTE_TEXT"),23;case 63:return this.popState(),e.yytext=e.yytext.substr(2).trim(),30;case 64:return this.popState(),e.yytext=e.yytext.slice(0,-8).trim(),30;case 65:case 66:return 6;case 67:return 15;case 68:return 50;case 69:return 23;case 70:return e.yytext=e.yytext.trim(),13;case 71:return 14;case 72:return 27;case 73:return 51;case 75:return"INVALID"}},rules:[/^(?:default\b)/i,/^(?:.*direction\s+TB[^\n]*)/i,/^(?:.*direction\s+BT[^\n]*)/i,/^(?:.*direction\s+RL[^\n]*)/i,/^(?:.*direction\s+LR[^\n]*)/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n]+)/i,/^(?:[\s]+)/i,/^(?:((?!\n)\s)+)/i,/^(?:#[^\n]*)/i,/^(?:%[^\n]*)/i,/^(?:scale\s+)/i,/^(?:\d+)/i,/^(?:\s+width\b)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:classDef\s+)/i,/^(?:DEFAULT\s+)/i,/^(?:\w+\s+)/i,/^(?:[^\n]*)/i,/^(?:class\s+)/i,/^(?:(\w+)+((,\s*\w+)*))/i,/^(?:[^\n]*)/i,/^(?:scale\s+)/i,/^(?:\d+)/i,/^(?:\s+width\b)/i,/^(?:state\s+)/i,/^(?:.*<<fork>>)/i,/^(?:.*<<join>>)/i,/^(?:.*<<choice>>)/i,/^(?:.*\[\[fork\]\])/i,/^(?:.*\[\[join\]\])/i,/^(?:.*\[\[choice\]\])/i,/^(?:.*direction\s+TB[^\n]*)/i,/^(?:.*direction\s+BT[^\n]*)/i,/^(?:.*direction\s+RL[^\n]*)/i,/^(?:.*direction\s+LR[^\n]*)/i,/^(?:["])/i,/^(?:\s*as\s+)/i,/^(?:[^\n\{]*)/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:[^\n\s\{]+)/i,/^(?:\n)/i,/^(?:\{)/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:\})/i,/^(?:[\n])/i,/^(?:note\s+)/i,/^(?:left of\b)/i,/^(?:right of\b)/i,/^(?:")/i,/^(?:\s*as\s*)/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:[^\n]*)/i,/^(?:\s*[^:\n\s\-]+)/i,/^(?:\s*:[^:\n;]+)/i,/^(?:[\s\S]*?end note\b)/i,/^(?:stateDiagram\s+)/i,/^(?:stateDiagram-v2\s+)/i,/^(?:hide empty description\b)/i,/^(?:\[\*\])/i,/^(?:[^:\n\s\-\{]+)/i,/^(?:\s*:[^:\n;]+)/i,/^(?:-->)/i,/^(?:--)/i,/^(?::::)/i,/^(?:$)/i,/^(?:.)/i],conditions:{LINE:{rules:[9,10],inclusive:!1},struct:{rules:[9,10,22,26,32,39,40,41,42,51,52,53,54,68,69,70,71,72],inclusive:!1},FLOATING_NOTE_ID:{rules:[61],inclusive:!1},FLOATING_NOTE:{rules:[58,59,60],inclusive:!1},NOTE_TEXT:{rules:[63,64],inclusive:!1},NOTE_ID:{rules:[62],inclusive:!1},NOTE:{rules:[55,56,57],inclusive:!1},CLASS_STYLE:{rules:[28],inclusive:!1},CLASS:{rules:[27],inclusive:!1},CLASSDEFID:{rules:[25],inclusive:!1},CLASSDEF:{rules:[23,24],inclusive:!1},acc_descr_multiline:{rules:[20,21],inclusive:!1},acc_descr:{rules:[18],inclusive:!1},acc_title:{rules:[16],inclusive:!1},SCALE:{rules:[13,14,30,31],inclusive:!1},ALIAS:{rules:[],inclusive:!1},STATE_ID:{rules:[45],inclusive:!1},STATE_STRING:{rules:[46,47],inclusive:!1},FORK_STATE:{rules:[],inclusive:!1},STATE:{rules:[9,10,33,34,35,36,37,38,43,44,48,49,50],inclusive:!1},ID:{rules:[9,10],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,5,6,7,8,10,11,12,15,17,19,22,26,29,32,50,54,65,66,67,68,69,70,71,73,74,75],inclusive:!0}}};function 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Our brains then need to separate out what we want to hear (the target speaker) from the other sounds. This is especially difficult when the competing sounds are speech. This has the quaint name, The Cocktail Party Problem (Cherry, 1953). We don\u2019t go to many cocktail parties, but we encounter lots of times where the The Cocktail Party Problem is important. Hearing a conversation in a busy restaurant, trying to understand a loved one while the television is on or hearing the radio in the kitchen when the kettle is boiling, are just a few examples."}),"\n",(0,a.jsx)(t.p,{children:"Difficulty in picking out speech in noise is really common if you have a hearing loss. Indeed, it\u2019s often when people have problems doing this that they realise they have a hearing loss."}),"\n",(0,a.jsx)(t.pre,{children:(0,a.jsx)(t.code,{children:"\u201cHearing aids don\u2019t work when there is a lot of background noise. 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-exports.id = 491; -exports.ids = [491]; +exports.id = 397; +exports.ids = [397]; exports.modules = { -/***/ 42491: +/***/ 37397: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(22424); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(57776); @@ -912,8 +912,8 @@ var parser = function() { }(); parser.parser = parser; const gitGraphParser = parser; -let mainBranchName = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph.mainBranchName; -let mainBranchOrder = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph.mainBranchOrder; +let mainBranchName = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph.mainBranchName; +let mainBranchOrder = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph.mainBranchOrder; let commits = {}; let head = null; let branchesConfig = {}; @@ -924,7 +924,7 @@ let curBranch = mainBranchName; let direction = "LR"; let seq = 0; function getId() { - return (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.x)({ length: 7 }); + return (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.x)({ length: 7 }); } function uniqBy(list, fn) { const recordMap = /* @__PURE__ */ Object.create(null); @@ -942,23 +942,23 @@ const setDirection = function(dir2) { }; let options = {}; const setOptions = function(rawOptString) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("options str", rawOptString); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("options str", rawOptString); rawOptString = rawOptString && rawOptString.trim(); rawOptString = rawOptString || "{}"; try { options = JSON.parse(rawOptString); } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing gitGraph options", e.message); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("error while parsing gitGraph options", e.message); } }; const getOptions = function() { return options; }; const commit = function(msg, id, type, tag) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Entering commit:", msg, id, type, tag); - id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); - msg = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(msg, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); - tag = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(tag, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Entering commit:", msg, id, type, tag); + id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + msg = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(msg, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + tag = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(tag, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); const commit2 = { id: id ? id : seq + "-" + getId(), message: msg, @@ -971,15 +971,15 @@ const commit = function(msg, id, type, tag) { head = commit2; commits[commit2.id] = commit2; branches[curBranch] = commit2.id; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in pushCommit " + commit2.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in pushCommit " + commit2.id); }; const branch = function(name, order) { - name = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(name, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + name = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(name, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); if (branches[name] === void 0) { branches[name] = head != null ? head.id : null; branchesConfig[name] = { name, order: order ? parseInt(order, 10) : null }; checkout(name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in createBranch"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in createBranch"); } else { let error = new Error( 'Trying to create an existing branch. (Help: Either use a new name if you want create a new branch or try using "checkout ' + name + '")' @@ -995,8 +995,8 @@ const branch = function(name, order) { } }; const merge = function(otherBranch, custom_id, override_type, custom_tag) { - otherBranch = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(otherBranch, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); - custom_id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(custom_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + otherBranch = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(otherBranch, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + custom_id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(custom_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); const currentCommit = commits[branches[curBranch]]; const otherCommit = commits[branches[otherBranch]]; if (curBranch === otherBranch) { @@ -1084,15 +1084,15 @@ const merge = function(otherBranch, custom_id, override_type, custom_tag) { head = commit2; commits[commit2.id] = commit2; branches[curBranch] = commit2.id; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(branches); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in mergeBranch"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(branches); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in mergeBranch"); }; const cherryPick = function(sourceId, targetId, tag, parentCommitId) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Entering cherryPick:", sourceId, targetId, tag); - sourceId = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(sourceId, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); - targetId = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(targetId, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); - tag = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(tag, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); - parentCommitId = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(parentCommitId, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Entering cherryPick:", sourceId, targetId, tag); + sourceId = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(sourceId, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + targetId = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(targetId, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + tag = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(tag, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + parentCommitId = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(parentCommitId, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); if (!sourceId || commits[sourceId] === void 0) { let error = new Error( 'Incorrect usage of "cherryPick". Source commit id should exist and provided' @@ -1160,12 +1160,12 @@ const cherryPick = function(sourceId, targetId, tag, parentCommitId) { head = commit2; commits[commit2.id] = commit2; branches[curBranch] = commit2.id; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(branches); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in cherryPick"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(branches); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in cherryPick"); } }; const checkout = function(branch2) { - branch2 = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(branch2, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + branch2 = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.sanitizeText(branch2, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); if (branches[branch2] === void 0) { let error = new Error( 'Trying to checkout branch which is not yet created. (Help try using "branch ' + branch2 + '")' @@ -1213,7 +1213,7 @@ function prettyPrintCommitHistory(commitArr) { label.push(branch2); } } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(label.join(" ")); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(label.join(" ")); if (commit2.parents && commit2.parents.length == 2) { const newCommit = commits[commit2.parents[0]]; upsert(commitArr, commit2, newCommit); @@ -1228,22 +1228,22 @@ function prettyPrintCommitHistory(commitArr) { prettyPrintCommitHistory(commitArr); } const prettyPrint = function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(commits); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(commits); const node = getCommitsArray()[0]; prettyPrintCommitHistory([node]); }; const clear$1 = function() { commits = {}; head = null; - let mainBranch = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph.mainBranchName; - let mainBranchOrder2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph.mainBranchOrder; + let mainBranch = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph.mainBranchName; + let mainBranchOrder2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph.mainBranchOrder; branches = {}; branches[mainBranch] = null; branchesConfig = {}; branchesConfig[mainBranch] = { name: mainBranch, order: mainBranchOrder2 }; curBranch = mainBranch; seq = 0; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.t)(); }; const getBranchesAsObjArray = function() { const branchesArray = Object.values(branchesConfig).map((branchConfig, i) => { @@ -1268,7 +1268,7 @@ const getCommitsArray = function() { return commits[key]; }); commitArr.forEach(function(o) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(o.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(o.id); }); commitArr.sort((a, b) => a.seq - b.seq); return commitArr; @@ -1290,7 +1290,7 @@ const commitType$1 = { CHERRY_PICK: 4 }; const gitGraphDb = { - getConfig: () => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph, + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph, setDirection, setOptions, getOptions, @@ -1309,12 +1309,12 @@ const gitGraphDb = { getCurrentBranch, getDirection, getHead, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.g, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.b, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.r, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.g, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.b, + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.r, commitType: commitType$1 }; let allCommitsDict = {}; @@ -1360,8 +1360,20 @@ const drawText = (txt) => { } return svgLabel; }; +const findClosestParent = (parents) => { + let closestParent = ""; + let maxPosition = 0; + parents.forEach((parent) => { + const parentPosition = dir === "TB" ? commitPos[parent].y : commitPos[parent].x; + if (parentPosition >= maxPosition) { + closestParent = parent; + maxPosition = parentPosition; + } + }); + return closestParent || void 0; +}; const drawCommits = (svg, commits2, modifyGraph) => { - const gitGraphConfig = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph; + const gitGraphConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph; const gBullets = svg.append("g").attr("class", "commit-bullets"); const gLabels = svg.append("g").attr("class", "commit-labels"); let pos = 0; @@ -1372,10 +1384,25 @@ const drawCommits = (svg, commits2, modifyGraph) => { const sortedKeys = keys.sort((a, b) => { return commits2[a].seq - commits2[b].seq; }); + const isParallelCommits = gitGraphConfig.parallelCommits; + const layoutOffset = 10; + const commitStep = 40; sortedKeys.forEach((key) => { const commit2 = commits2[key]; - const y = dir === "TB" ? pos + 10 : branchPos[commit2.branch].pos; - const x = dir === "TB" ? branchPos[commit2.branch].pos : pos + 10; + if (isParallelCommits) { + if (commit2.parents.length) { + const closestParent = findClosestParent(commit2.parents); + pos = dir === "TB" ? commitPos[closestParent].y + commitStep : commitPos[closestParent].x + commitStep; + } else { + pos = 0; + if (dir === "TB") { + pos = 30; + } + } + } + const posWithOffset = pos + layoutOffset; + const y = dir === "TB" ? posWithOffset : branchPos[commit2.branch].pos; + const x = dir === "TB" ? branchPos[commit2.branch].pos : posWithOffset; if (modifyGraph) { let typeClass; let commitSymbolType = commit2.customType !== void 0 && commit2.customType !== "" ? commit2.customType : commit2.type; @@ -1447,9 +1474,9 @@ const drawCommits = (svg, commits2, modifyGraph) => { } } if (dir === "TB") { - commitPos[commit2.id] = { x, y: pos + 10 }; + commitPos[commit2.id] = { x, y: posWithOffset }; } else { - commitPos[commit2.id] = { x: pos + 10, y }; + commitPos[commit2.id] = { x: posWithOffset, y }; } if (modifyGraph) { const px = 4; @@ -1459,13 +1486,13 @@ const drawCommits = (svg, commits2, modifyGraph) => { const labelBkg = wrapper.insert("rect").attr("class", "commit-label-bkg"); const text = wrapper.append("text").attr("x", pos).attr("y", y + 25).attr("class", "commit-label").text(commit2.id); let bbox = text.node().getBBox(); - labelBkg.attr("x", pos + 10 - bbox.width / 2 - py).attr("y", y + 13.5).attr("width", bbox.width + 2 * py).attr("height", bbox.height + 2 * py); + labelBkg.attr("x", posWithOffset - bbox.width / 2 - py).attr("y", y + 13.5).attr("width", bbox.width + 2 * py).attr("height", bbox.height + 2 * py); if (dir === "TB") { labelBkg.attr("x", x - (bbox.width + 4 * px + 5)).attr("y", y - 12); text.attr("x", x - (bbox.width + 4 * px)).attr("y", y + bbox.height - 12); } if (dir !== "TB") { - text.attr("x", pos + 10 - bbox.width / 2); + text.attr("x", posWithOffset - bbox.width / 2); } if (gitGraphConfig.rotateCommitLabel) { if (dir === "TB") { @@ -1486,7 +1513,7 @@ const drawCommits = (svg, commits2, modifyGraph) => { const hole = gLabels.append("circle"); const tag = gLabels.append("text").attr("y", y - 16).attr("class", "tag-label").text(commit2.tag); let tagBbox = tag.node().getBBox(); - tag.attr("x", pos + 10 - tagBbox.width / 2); + tag.attr("x", posWithOffset - tagBbox.width / 2); const h2 = tagBbox.height / 2; const ly = y - 19.2; rect.attr("class", "tag-label-bkg").attr( @@ -1494,10 +1521,10 @@ const drawCommits = (svg, commits2, modifyGraph) => { ` ${pos - tagBbox.width / 2 - px / 2},${ly + py} ${pos - tagBbox.width / 2 - px / 2},${ly - py} - ${pos + 10 - tagBbox.width / 2 - px},${ly - h2 - py} - ${pos + 10 + tagBbox.width / 2 + px},${ly - h2 - py} - ${pos + 10 + tagBbox.width / 2 + px},${ly + h2 + py} - ${pos + 10 - tagBbox.width / 2 - px},${ly + h2 + py}` + ${posWithOffset - tagBbox.width / 2 - px},${ly - h2 - py} + ${posWithOffset + tagBbox.width / 2 + px},${ly - h2 - py} + ${posWithOffset + tagBbox.width / 2 + px},${ly + h2 + py} + ${posWithOffset - tagBbox.width / 2 - px},${ly + h2 + py}` ); hole.attr("cx", pos - tagBbox.width / 2 + px / 2).attr("cy", ly).attr("r", 1.5).attr("class", "tag-hole"); if (dir === "TB") { @@ -1506,17 +1533,17 @@ const drawCommits = (svg, commits2, modifyGraph) => { ` ${x},${pos + py} ${x},${pos - py} - ${x + 10},${pos - h2 - py} - ${x + 10 + tagBbox.width + px},${pos - h2 - py} - ${x + 10 + tagBbox.width + px},${pos + h2 + py} - ${x + 10},${pos + h2 + py}` + ${x + layoutOffset},${pos - h2 - py} + ${x + layoutOffset + tagBbox.width + px},${pos - h2 - py} + ${x + layoutOffset + tagBbox.width + px},${pos + h2 + py} + ${x + layoutOffset},${pos + h2 + py}` ).attr("transform", "translate(12,12) rotate(45, " + x + "," + pos + ")"); hole.attr("cx", x + px / 2).attr("cy", pos).attr("transform", "translate(12,12) rotate(45, " + x + "," + pos + ")"); tag.attr("x", x + 5).attr("y", pos + 3).attr("transform", "translate(14,14) rotate(45, " + x + "," + pos + ")"); } } } - pos += 50; + pos += commitStep + layoutOffset; if (pos > maxPos) { maxPos = pos; } @@ -1635,7 +1662,7 @@ const drawArrows = (svg, commits2) => { }); }; const drawBranches = (svg, branches2) => { - const gitGraphConfig = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph; + const gitGraphConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().gitGraph; const g = svg.append("g"); branches2.forEach((branch2, index) => { const adjustIndexForTheme = index % THEME_COLOR_LIMIT; @@ -1676,13 +1703,13 @@ const drawBranches = (svg, branches2) => { }; const draw = function(txt, id, ver, diagObj) { clear(); - const conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + const conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const gitGraphConfig = conf.gitGraph; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in gitgraph renderer", txt + "\n", "id:", id, ver); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("in gitgraph renderer", txt + "\n", "id:", id, ver); allCommitsDict = diagObj.db.getCommits(); const branches2 = diagObj.db.getBranchesAsObjArray(); dir = diagObj.db.getDirection(); - const diagram2 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(`[id="${id}"]`); + const diagram2 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(`[id="${id}"]`); let pos = 0; branches2.forEach((branch2, index) => { const labelElement = drawText(branch2.name); @@ -1703,13 +1730,13 @@ const draw = function(txt, id, ver, diagObj) { } drawArrows(diagram2, allCommitsDict); drawCommits(diagram2, allCommitsDict, true); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.u.insertTitle( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.u.insertTitle( diagram2, "gitTitleText", gitGraphConfig.titleTopMargin, diagObj.db.getDiagramTitle() ); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.y)( + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.y)( void 0, diagram2, gitGraphConfig.diagramPadding, diff --git a/assets/js/3a8cb931.4fff8620.js b/assets/js/3a8cb931.fda7c839.js similarity index 79% rename from assets/js/3a8cb931.4fff8620.js rename to assets/js/3a8cb931.fda7c839.js index 44fc074c3..28a9c3a4b 100644 --- a/assets/js/3a8cb931.4fff8620.js +++ b/assets/js/3a8cb931.fda7c839.js @@ -1 +1 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[2294],{60598:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/challenges","page":1,"postsPerPage":1,"totalPages":1,"totalCount":1,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6672],{16432:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/challenges","page":1,"postsPerPage":1,"totalPages":1,"totalCount":1,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file diff --git a/assets/js/3bdbc896.c65eaf5d.js b/assets/js/3bdbc896.c65eaf5d.js deleted file mode 100644 index 43678d3f2..000000000 --- a/assets/js/3bdbc896.c65eaf5d.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[1374],{72396:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>o,contentTitle:()=>r,default:()=>h,frontMatter:()=>a,metadata:()=>l,toc:()=>d});var t=i(85893),s=i(11151);const a={id:"cpc2_rules",title:"The Challenge Rules",sidebar_label:"Rules",sidebar_position:3},r=void 0,l={id:"cpc2/taking_part/cpc2_rules",title:"The Challenge Rules",description:"What information can I use?",source:"@site/docs/cpc2/taking_part/cpc2_rules.mdx",sourceDirName:"cpc2/taking_part",slug:"/cpc2/taking_part/cpc2_rules",permalink:"/docs/cpc2/taking_part/cpc2_rules",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:3,frontMatter:{id:"cpc2_rules",title:"The Challenge Rules",sidebar_label:"Rules",sidebar_position:3},sidebar:"tutorialSidebar_cpc2",previous:{title:"Registration",permalink:"/docs/cpc2/taking_part/cpc2_registration"},next:{title:"Submission",permalink:"/docs/cpc2/taking_part/cpc2_submission"}},o={},d=[{value:"What information can I use?",id:"what-information-can-i-use",level:2},{value:"Training and development",id:"training-and-development",level:3},{value:"Evaluation",id:"evaluation",level:3},{value:"Baseline models and computational restrictions",id:"baseline-models-and-computational-restrictions",level:2},{value:"What sort of model do I create?",id:"what-sort-of-model-do-i-create",level:2},{value:"Submitting multiple entries",id:"submitting-multiple-entries",level:2},{value:"Evaluation of systems",id:"evaluation-of-systems",level:2},{value:"Teams",id:"teams",level:2},{value:"Transparency",id:"transparency",level:2},{value:"Intellectual property",id:"intellectual-property",level:2}];function c(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",p:"p",ul:"ul",...(0,s.a)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.h2,{id:"what-information-can-i-use",children:"What information can I use?"}),"\n",(0,t.jsx)(n.h3,{id:"training-and-development",children:"Training and development"}),"\n",(0,t.jsxs)(n.p,{children:["Teams should use the signals and listener responses provided in the ",(0,t.jsx)(n.code,{children:"CPC2.train.json"})," file."]}),"\n",(0,t.jsxs)(n.p,{children:["In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The ",(0,t.jsx)(n.a,{href:"./cpc2_faq#data",children:"FAQ"})," gives links to some models that might be used for this."]}),"\n",(0,t.jsx)(n.p,{children:"Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section)."}),"\n",(0,t.jsx)(n.h3,{id:"evaluation",children:"Evaluation"}),"\n",(0,t.jsx)(n.p,{children:"The only data that can be used by the prediction model(s) during evaluation are described below."}),"\n",(0,t.jsx)(n.p,{children:"For non-intrusive methods:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The output of the hearing aid processor/system."}),"\n",(0,t.jsx)(n.li,{children:"The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided."}),"\n",(0,t.jsx)(n.li,{children:"The listener metadata."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Additionally, for intrusive methods:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The target reference signal, i.e. the target convolved with the anechoic BRIR (channel 1) for each ear (\u2018target_anechoic\u2019)."}),"\n",(0,t.jsx)(n.li,{children:"The prompt for the utterances (the text the actors were given to read)."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"baseline-models-and-computational-restrictions",children:"Baseline models and computational restrictions"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Teams may choose to use all or some of the provided baseline models."}),"\n",(0,t.jsx)(n.li,{children:"There is no limit on computational cost."}),"\n",(0,t.jsx)(n.li,{children:"Models can be non-causal."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"what-sort-of-model-do-i-create",children:"What sort of model do I create?"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"You model should report the speech intelligibility for the whole sentence for each audio sample/listener combination, i.e. a single score that represents a prediction of the proportion of words that would be recognised correctly"}),"\n",(0,t.jsx)(n.li,{children:"The model architecture is entirely up to you, e.g. you can create a model that attempts to recognise individual words and then reduces this down to a proportion, or you can estimate an intelligibility score directly from the audio. Models may have explicit hearing loss model stages or be trained directly to map signals and audiograms to predictions."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"submitting-multiple-entries",children:"Submitting multiple entries"}),"\n",(0,t.jsx)(n.p,{children:"If you wish to submit multiple entries,"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Your systems must have significant differences in their approach."}),"\n",(0,t.jsx)(n.li,{children:"You must contact the organisers to discuss your plans."}),"\n",(0,t.jsx)(n.li,{children:"If accepted you will be issued with multiple Team IDs to distinguish your entries."}),"\n",(0,t.jsx)(n.li,{children:"In your documentation, you must make it clear how the submissions differ."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"evaluation-of-systems",children:"Evaluation of systems"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Entries will be ranked according to their performance in predicting measured intelligibility scores."}),"\n",(0,t.jsx)(n.li,{children:"The system score will be taken to be the RMSE between the predicted and measured intelligibility scores across the complete test set."}),"\n",(0,t.jsx)(n.li,{children:"Separate rankings will be made for intrusive and non-intrusive methods."}),"\n",(0,t.jsx)(n.li,{children:"Systems will only be considered if the technical report has been submitted and the system is judged to be compliant with the challenge rules."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"teams",children:"Teams"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Teams must have registered and nominated a contact person."}),"\n",(0,t.jsx)(n.li,{children:"Teams can be from one or more institutions."}),"\n",(0,t.jsx)(n.li,{children:"The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"transparency",children:"Transparency"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used."}),"\n",(0,t.jsx)(n.li,{children:"We will publish all technical documents on the challenge website (anonymous or otherwise)."}),"\n",(0,t.jsx)(n.li,{children:"Teams are encouraged \u2013 but not required \u2013 to provide us with access to the system(s)/model(s) and to make their code open source."}),"\n",(0,t.jsx)(n.li,{children:"Anonymous entries are allowed but will not be eligible for cash prizes."}),"\n",(0,t.jsx)(n.li,{children:"If a group of people submits multiple entries, they cannot win more than one prize in a given category."}),"\n",(0,t.jsx)(n.li,{children:"All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced."}),"\n",(0,t.jsx)(n.li,{children:"Teams are strongly encouraged to submit their report for presentation at the Clarity-2023 Interspeech Satellite Workshop."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"intellectual-property",children:"Intellectual property"}),"\n",(0,t.jsx)(n.p,{children:"The following terms apply to participation in this machine learning challenge (\u201cChallenge\u201d). The entrants' \u201cSubmission\u201d will consist of a set of intelligibility predictions and an accompanying technical report. The Challenge is organised by the \u201cChallenge Organiser\u201d."}),"\n",(0,t.jsx)(n.p,{children:"Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions."}),"\n",(0,t.jsx)(n.p,{children:"As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission."}),"\n",(0,t.jsx)(n.p,{children:"Entrants provide Submissions on an \u201cAS IS\u201d BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE."})]})}function h(e={}){const{wrapper:n}={...(0,s.a)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(c,{...e})}):c(e)}},11151:(e,n,i)=>{i.d(n,{Z:()=>l,a:()=>r});var t=i(67294);const s={},a=t.createContext(s);function r(e){const n=t.useContext(a);return t.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),t.createElement(a.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/3bdbc896.e5b7cbb7.js b/assets/js/3bdbc896.e5b7cbb7.js new file mode 100644 index 000000000..abc3945be --- /dev/null +++ b/assets/js/3bdbc896.e5b7cbb7.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[9752],{9256:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>o,contentTitle:()=>r,default:()=>h,frontMatter:()=>a,metadata:()=>l,toc:()=>d});var t=i(17624),s=i(4552);const a={id:"cpc2_rules",title:"The Challenge Rules",sidebar_label:"Rules",sidebar_position:3},r=void 0,l={id:"cpc2/taking_part/cpc2_rules",title:"The Challenge Rules",description:"What information can I use?",source:"@site/docs/cpc2/taking_part/cpc2_rules.mdx",sourceDirName:"cpc2/taking_part",slug:"/cpc2/taking_part/cpc2_rules",permalink:"/docs/cpc2/taking_part/cpc2_rules",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:3,frontMatter:{id:"cpc2_rules",title:"The Challenge Rules",sidebar_label:"Rules",sidebar_position:3},sidebar:"tutorialSidebar_cpc2",previous:{title:"Registration",permalink:"/docs/cpc2/taking_part/cpc2_registration"},next:{title:"Submission",permalink:"/docs/cpc2/taking_part/cpc2_submission"}},o={},d=[{value:"What information can I use?",id:"what-information-can-i-use",level:2},{value:"Training and development",id:"training-and-development",level:3},{value:"Evaluation",id:"evaluation",level:3},{value:"Baseline models and computational restrictions",id:"baseline-models-and-computational-restrictions",level:2},{value:"What sort of model do I create?",id:"what-sort-of-model-do-i-create",level:2},{value:"Submitting multiple entries",id:"submitting-multiple-entries",level:2},{value:"Evaluation of systems",id:"evaluation-of-systems",level:2},{value:"Teams",id:"teams",level:2},{value:"Transparency",id:"transparency",level:2},{value:"Intellectual property",id:"intellectual-property",level:2}];function c(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",p:"p",ul:"ul",...(0,s.M)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.h2,{id:"what-information-can-i-use",children:"What information can I use?"}),"\n",(0,t.jsx)(n.h3,{id:"training-and-development",children:"Training and development"}),"\n",(0,t.jsxs)(n.p,{children:["Teams should use the signals and listener responses provided in the ",(0,t.jsx)(n.code,{children:"CPC2.train.json"})," file."]}),"\n",(0,t.jsxs)(n.p,{children:["In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. 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The entrants' \u201cSubmission\u201d will consist of a set of intelligibility predictions and an accompanying technical report. The Challenge is organised by the \u201cChallenge Organiser\u201d."}),"\n",(0,t.jsx)(n.p,{children:"Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions."}),"\n",(0,t.jsx)(n.p,{children:"As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission."}),"\n",(0,t.jsx)(n.p,{children:"Entrants provide Submissions on an \u201cAS IS\u201d BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE."})]})}function h(e={}){const{wrapper:n}={...(0,s.M)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(c,{...e})}):c(e)}},4552:(e,n,i)=>{i.d(n,{I:()=>l,M:()=>r});var t=i(11504);const s={},a=t.createContext(s);function r(e){const n=t.useContext(a);return t.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),t.createElement(a.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/3d1c77da.8b88fe36.js b/assets/js/3d1c77da.8b88fe36.js new file mode 100644 index 000000000..c12d1d780 --- /dev/null +++ b/assets/js/3d1c77da.8b88fe36.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[3204],{77360:(e,t,n)=>{n.r(t),n.d(t,{assets:()=>a,contentTitle:()=>c,default:()=>p,frontMatter:()=>i,metadata:()=>o,toc:()=>l});var s=n(17624),r=n(4552);const i={id:"cpc1_dates",title:"Important Dates",sidebar_label:"Important Dates",sidebar_position:1.5},c=void 0,o={id:"cpc1/cpc1_dates",title:"Important Dates",description:"- 16th November 2021: Launch of challenge, release of data.",source:"@site/docs/cpc1/cpc1_dates.mdx",sourceDirName:"cpc1",slug:"/cpc1/cpc1_dates",permalink:"/docs/cpc1/cpc1_dates",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:1.5,frontMatter:{id:"cpc1_dates",title:"Important Dates",sidebar_label:"Important Dates",sidebar_position:1.5},sidebar:"tutorialSidebar_cpc1",previous:{title:"CPC1 Introduction",permalink:"/docs/cpc1/cpc1_intro"},next:{title:"Download Data",permalink:"/docs/cpc1/cpc1_download"}},a={},l=[];function d(e){const t={a:"a",li:"li",strong:"strong",ul:"ul",...(0,r.M)(),...e.components};return(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"16th November 2021"}),": Launch of challenge, release of data."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"23rd November 2021"}),": Webinar to introduce the challenge 15:00-17:00 UK time."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"1st March 2022"}),": Release of evaluation data."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"21st March 2022"}),": ",(0,s.jsx)(t.a,{href:"./taking_part/cpc1_submission",children:"Submission"})," deadline. 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Everyday social noise levels can have a devastating impact on speech intelligibility. The inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss."}),"\n",(0,t.jsx)(n.p,{children:"The Clarity workshops are designed to stimulate a two-way conversation between the speech research community and hearing aid developers. 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99:this.$=n[a-4],u.setClass(n[a-2],n[a]);break;case 100:case 108:this.$=n[a-1],u.setClickEvent(n[a-1],n[a]);break;case 101:case 109:this.$=n[a-3],u.setClickEvent(n[a-3],n[a-2]),u.setTooltip(n[a-3],n[a]);break;case 102:this.$=n[a-2],u.setClickEvent(n[a-2],n[a-1],n[a]);break;case 103:this.$=n[a-4],u.setClickEvent(n[a-4],n[a-3],n[a-2]),u.setTooltip(n[a-4],n[a]);break;case 104:this.$=n[a-2],u.setLink(n[a-2],n[a]);break;case 105:this.$=n[a-4],u.setLink(n[a-4],n[a-2]),u.setTooltip(n[a-4],n[a]);break;case 106:this.$=n[a-4],u.setLink(n[a-4],n[a-2],n[a]);break;case 107:this.$=n[a-6],u.setLink(n[a-6],n[a-4],n[a]),u.setTooltip(n[a-6],n[a-2]);break;case 110:this.$=n[a-1],u.setLink(n[a-1],n[a]);break;case 111:this.$=n[a-3],u.setLink(n[a-3],n[a-2]),u.setTooltip(n[a-3],n[a]);break;case 112:this.$=n[a-3],u.setLink(n[a-3],n[a-2],n[a]);break;case 113:this.$=n[a-5],u.setLink(n[a-5],n[a-4],n[a]),u.setTooltip(n[a-5],n[a-2]);break;case 114:this.$=n[a-4],u.addVertex(n[a-2],void 0,void 0,n[a]);break;case 115:this.$=n[a-4],u.updateLink([n[a-2]],n[a]);break;case 116:this.$=n[a-4],u.updateLink(n[a-2],n[a]);break;case 117:this.$=n[a-8],u.updateLinkInterpolate([n[a-6]],n[a-2]),u.updateLink([n[a-6]],n[a]);break;case 118:this.$=n[a-8],u.updateLinkInterpolate(n[a-6],n[a-2]),u.updateLink(n[a-6],n[a]);break;case 119:this.$=n[a-6],u.updateLinkInterpolate([n[a-4]],n[a]);break;case 120:this.$=n[a-6],u.updateLinkInterpolate(n[a-4],n[a]);break;case 122:case 124:n[a-2].push(n[a]),this.$=n[a-2];break;case 126:this.$=n[a-1]+n[a];break;case 175:case 177:this.$=n[a-1]+""+n[a];break;case 178:this.$={stmt:"dir",value:"TB"};break;case 179:this.$={stmt:"dir",value:"BT"};break;case 180:this.$={stmt:"dir",value:"RL"};break;case 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s=new Error(t);throw s.hash=e,s}this.trace(t)},parse:function(t){var e=this,s=[0],u=[],i=[null],n=[],r=this.table,a="",c=0,o=0,l=n.slice.call(arguments,1),h=Object.create(this.lexer),A={yy:{}};for(var d in this.yy)Object.prototype.hasOwnProperty.call(this.yy,d)&&(A.yy[d]=this.yy[d]);h.setInput(t,A.yy),A.yy.lexer=h,A.yy.parser=this,void 0===h.yylloc&&(h.yylloc={});var p=h.yylloc;n.push(p);var y=h.options&&h.options.ranges;"function"==typeof A.yy.parseError?this.parseError=A.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var E,f,g,k,D,b,F,T,C,_={};;){if(f=s[s.length-1],this.defaultActions[f]?g=this.defaultActions[f]:(null==E&&(C=void 0,"number"!=typeof(C=u.pop()||h.lex()||1)&&(C instanceof Array&&(C=(u=C).pop()),C=e.symbols_[C]||C),E=C),g=r[f]&&r[f][E]),void 0===g||!g.length||!g[0]){var B="";for(D in T=[],r[f])this.terminals_[D]&&D>2&&T.push("'"+this.terminals_[D]+"'");B=h.showPosition?"Parse error on line "+(c+1)+":\n"+h.showPosition()+"\nExpecting "+T.join(", ")+", got '"+(this.terminals_[E]||E)+"'":"Parse error on line "+(c+1)+": Unexpected "+(1==E?"end of input":"'"+(this.terminals_[E]||E)+"'"),this.parseError(B,{text:h.match,token:this.terminals_[E]||E,line:h.yylineno,loc:p,expected:T})}if(g[0]instanceof Array&&g.length>1)throw new Error("Parse Error: multiple actions possible at state: "+f+", token: "+E);switch(g[0]){case 1:s.push(E),i.push(h.yytext),n.push(h.yylloc),s.push(g[1]),E=null,o=h.yyleng,a=h.yytext,c=h.yylineno,p=h.yylloc;break;case 2:if(b=this.productions_[g[1]][1],_.$=i[i.length-b],_._$={first_line:n[n.length-(b||1)].first_line,last_line:n[n.length-1].last_line,first_column:n[n.length-(b||1)].first_column,last_column:n[n.length-1].last_column},y&&(_._$.range=[n[n.length-(b||1)].range[0],n[n.length-1].range[1]]),void 0!==(k=this.performAction.apply(_,[a,o,c,A.yy,g[1],i,n].concat(l))))return k;b&&(s=s.slice(0,-1*b*2),i=i.slice(0,-1*b),n=n.slice(0,-1*b)),s.push(this.productions_[g[1]][0]),i.push(_.$),n.push(_._$),F=r[s[s.length-2]][s[s.length-1]],s.push(F);break;case 3:return!0}}return!0}},qt={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,s=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var u=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),s.length-1&&(this.yylineno-=s.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:s?(s.length===u.length?this.yylloc.first_column:0)+u[u.length-s.length].length-s[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var s,u,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(u=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=u.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:u?u[u.length-1].length-u[u.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],s=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),s)return s;if(this._backtrack){for(var n in i)this[n]=i[n];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,s,u;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),n=0;n<i.length;n++)if((s=this._input.match(this.rules[i[n]]))&&(!e||s[0].length>e[0].length)){if(e=s,u=n,this.options.backtrack_lexer){if(!1!==(t=this.test_match(s,i[n])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,i[u]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,s,u){switch(s){case 0:return this.begin("acc_title"),34;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),36;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:case 8:case 11:case 14:case 17:case 27:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:this.begin("callbackname");break;case 9:this.popState(),this.begin("callbackargs");break;case 10:return 92;case 12:return 93;case 13:return"MD_STR";case 15:this.begin("md_string");break;case 16:return"STR";case 18:this.pushState("string");break;case 19:return 81;case 20:return 99;case 21:return 82;case 22:return 101;case 23:return 83;case 24:return 84;case 25:return 94;case 26:this.begin("click");break;case 28:return 85;case 29:case 30:case 31:return t.lex.firstGraph()&&this.begin("dir"),12;case 32:return 27;case 33:return 32;case 34:case 35:case 36:case 37:return 95;case 38:return this.popState(),13;case 39:case 40:case 41:case 42:case 43:case 44:case 45:case 46:case 47:case 48:return this.popState(),14;case 49:return 118;case 50:return 119;case 51:return 120;case 52:return 121;case 53:return 102;case 54:case 95:return 108;case 55:return 44;case 56:return 58;case 57:case 96:return 42;case 58:return 8;case 59:return 103;case 60:case 94:return 112;case 61:case 64:case 67:return this.popState(),75;case 62:return this.pushState("edgeText"),73;case 63:case 66:case 69:return 116;case 65:return this.pushState("thickEdgeText"),73;case 68:return this.pushState("dottedEdgeText"),73;case 70:return 75;case 71:return this.popState(),51;case 72:case 108:return"TEXT";case 73:return this.pushState("ellipseText"),50;case 74:return this.popState(),53;case 75:return this.pushState("text"),52;case 76:return this.popState(),55;case 77:return this.pushState("text"),54;case 78:return 56;case 79:return this.pushState("text"),65;case 80:return this.popState(),62;case 81:return this.pushState("text"),61;case 82:return this.popState(),47;case 83:return this.pushState("text"),46;case 84:return this.popState(),67;case 85:return this.popState(),69;case 86:return 114;case 87:return this.pushState("trapText"),66;case 88:return this.pushState("trapText"),68;case 89:return 115;case 90:return 65;case 91:return 87;case 92:return"SEP";case 93:return 86;case 97:return 106;case 98:return 111;case 99:return 113;case 100:return this.popState(),60;case 101:return this.pushState("text"),60;case 102:return this.popState(),49;case 103:return this.pushState("text"),48;case 104:return this.popState(),31;case 105:return this.pushState("text"),29;case 106:return this.popState(),64;case 107:return this.pushState("text"),63;case 109:return"QUOTE";case 110:return 9;case 111:return 10;case 112:return 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[] : undefined; - forEach/* default */.Z(g.inEdges(entry.v), function (edge) { + forEach/* default */.c(g.inEdges(entry.v), function (edge) { var weight = g.edge(edge); var uEntry = g.node(edge.v); @@ -160,7 +160,7 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { assignBucket(buckets, zeroIdx, uEntry); }); - forEach/* default */.Z(g.outEdges(entry.v), function (edge) { + forEach/* default */.c(g.outEdges(entry.v), function (edge) { var weight = g.edge(edge); var w = edge.w; var wEntry = g.node(w); @@ -174,17 +174,17 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { } function buildState(g, weightFn) { - var fasGraph = new graphlib/* Graph */.k(); + var fasGraph = new graphlib/* Graph */.M(); var maxIn = 0; var maxOut = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { fasGraph.setNode(v, { v: v, in: 0, out: 0 }); }); // Aggregate weights on nodes, but also sum the weights across multi-edges // into a single edge for the fasGraph. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var prevWeight = fasGraph.edge(e.v, e.w) || 0; var weight = weightFn(e); var edgeWeight = prevWeight + weight; @@ -193,12 +193,12 @@ function buildState(g, weightFn) { maxIn = Math.max(maxIn, (fasGraph.node(e.w)['in'] += weight)); }); - var buckets = range/* default */.Z(maxOut + maxIn + 3).map(function () { + var buckets = range/* default */.c(maxOut + maxIn + 3).map(function () { return new List(); }); var zeroIdx = maxIn + 1; - forEach/* default */.Z(fasGraph.nodes(), function (v) { + forEach/* default */.c(fasGraph.nodes(), function (v) { assignBucket(buckets, zeroIdx, fasGraph.node(v)); }); @@ -223,12 +223,12 @@ function assignBucket(buckets, zeroIdx, entry) { function run(g) { var fas = g.graph().acyclicer === 'greedy' ? greedyFAS(g, weightFn(g)) : dfsFAS(g); - forEach/* default */.Z(fas, function (e) { + forEach/* default */.c(fas, function (e) { var label = g.edge(e); g.removeEdge(e); label.forwardName = e.name; label.reversed = true; - g.setEdge(e.w, e.v, label, uniqueId/* default */.Z('rev')); + g.setEdge(e.w, e.v, label, uniqueId/* default */.c('rev')); }); function weightFn(g) { @@ -244,13 +244,13 @@ function dfsFAS(g) { var visited = {}; function dfs(v) { - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return; } visited[v] = true; stack[v] = true; - forEach/* default */.Z(g.outEdges(v), function (e) { - if (has/* default */.Z(stack, e.w)) { + forEach/* default */.c(g.outEdges(v), function (e) { + if (has/* default */.c(stack, e.w)) { fas.push(e); } else { dfs(e.w); @@ -259,12 +259,12 @@ function dfsFAS(g) { delete stack[v]; } - forEach/* default */.Z(g.nodes(), dfs); + forEach/* default */.c(g.nodes(), dfs); return fas; } function undo(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var label = g.edge(e); if (label.reversed) { g.removeEdge(e); @@ -278,13 +278,13 @@ function undo(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/merge.js + 6 modules -var merge = __webpack_require__(59236); +var merge = __webpack_require__(89064); // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseExtremum.js @@ -307,7 +307,7 @@ function baseExtremum(array, iteratee, comparator) { current = iteratee(value); if (current != null && (computed === undefined - ? (current === current && !(0,isSymbol/* default */.Z)(current)) + ? (current === current && !(0,isSymbol/* default */.c)(current)) : comparator(current, computed) )) { var computed = current, @@ -336,7 +336,7 @@ function baseGt(value, other) { /* harmony default export */ const _baseGt = (baseGt); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/max.js @@ -362,7 +362,7 @@ var identity = __webpack_require__(69203); */ function max(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseGt) + ? _baseExtremum(array, identity/* default */.c, _baseGt) : undefined; } @@ -391,11 +391,11 @@ function last(array) { /* harmony default export */ const lodash_es_last = (last); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseAssignValue.js -var _baseAssignValue = __webpack_require__(74752); +var _baseAssignValue = __webpack_require__(78848); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/mapValues.js @@ -431,10 +431,10 @@ var _baseIteratee = __webpack_require__(74765); */ function mapValues(object, iteratee) { var result = {}; - iteratee = (0,_baseIteratee/* default */.Z)(iteratee, 3); + iteratee = (0,_baseIteratee/* default */.c)(iteratee, 3); - (0,_baseForOwn/* default */.Z)(object, function(value, key, object) { - (0,_baseAssignValue/* default */.Z)(result, key, iteratee(value, key, object)); + (0,_baseForOwn/* default */.c)(object, function(value, key, object) { + (0,_baseAssignValue/* default */.c)(result, key, iteratee(value, key, object)); }); return result; } @@ -442,7 +442,7 @@ function mapValues(object, iteratee) { /* harmony default export */ const lodash_es_mapValues = (mapValues); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseLt.js /** * The base implementation of `_.lt` which doesn't coerce arguments. @@ -484,14 +484,14 @@ function baseLt(value, other) { */ function min(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseLt) + ? _baseExtremum(array, identity/* default */.c, _baseLt) : undefined; } /* harmony default export */ const lodash_es_min = (min); // EXTERNAL MODULE: ./node_modules/lodash-es/_root.js -var _root = __webpack_require__(66092); +var _root = __webpack_require__(43936); ;// CONCATENATED MODULE: ./node_modules/lodash-es/now.js @@ -512,7 +512,7 @@ var _root = __webpack_require__(66092); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { - return _root/* default */.Z.Date.now(); + return _root/* default */.c.Date.now(); }; /* harmony default export */ const lodash_es_now = (now); @@ -529,7 +529,7 @@ var now = function() { function addDummyNode(g, type, attrs, name) { var v; do { - v = uniqueId/* default */.Z(name); + v = uniqueId/* default */.c(name); } while (g.hasNode(v)); attrs.dummy = type; @@ -542,11 +542,11 @@ function addDummyNode(g, type, attrs, name) { * associated with multi-edges. */ function simplify(g) { - var simplified = new graphlib/* Graph */.k().setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M().setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { simplified.setNode(v, g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var simpleLabel = simplified.edge(e.v, e.w) || { weight: 0, minlen: 1 }; var label = g.edge(e); simplified.setEdge(e.v, e.w, { @@ -558,13 +558,13 @@ function simplify(g) { } function asNonCompoundGraph(g) { - var simplified = new graphlib/* Graph */.k({ multigraph: g.isMultigraph() }).setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M({ multigraph: g.isMultigraph() }).setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { if (!g.children(v).length) { simplified.setNode(v, g.node(v)); } }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { simplified.setEdge(e, g.edge(e)); }); return simplified; @@ -636,13 +636,13 @@ function intersectRect(rect, point) { * function will produce a matrix with the ids of each node. */ function buildLayerMatrix(g) { - var layering = map/* default */.Z(range/* default */.Z(util_maxRank(g) + 1), function () { + var layering = map/* default */.c(range/* default */.c(util_maxRank(g) + 1), function () { return []; }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); var rank = node.rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { layering[rank][node.order] = v; } }); @@ -655,13 +655,13 @@ function buildLayerMatrix(g) { */ function normalizeRanks(g) { var min = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); - if (has/* default */.Z(node, 'rank')) { + if (has/* default */.c(node, 'rank')) { node.rank -= min; } }); @@ -670,13 +670,13 @@ function normalizeRanks(g) { function removeEmptyRanks(g) { // Ranks may not start at 0, so we need to offset them var offset = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); var layers = []; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank - offset; if (!layers[rank]) { layers[rank] = []; @@ -686,11 +686,11 @@ function removeEmptyRanks(g) { var delta = 0; var nodeRankFactor = g.graph().nodeRankFactor; - forEach/* default */.Z(layers, function (vs, i) { - if (isUndefined/* default */.Z(vs) && i % nodeRankFactor !== 0) { + forEach/* default */.c(layers, function (vs, i) { + if (isUndefined/* default */.c(vs) && i % nodeRankFactor !== 0) { --delta; } else if (delta) { - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { g.node(v).rank += delta; }); } @@ -711,9 +711,9 @@ function addBorderNode(g, prefix, rank, order) { function util_maxRank(g) { return lodash_es_max( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { return rank; } }) @@ -727,7 +727,7 @@ function util_maxRank(g) { */ function partition(collection, fn) { var result = { lhs: [], rhs: [] }; - forEach/* default */.Z(collection, function (value) { + forEach/* default */.c(collection, function (value) { if (fn(value)) { result.lhs.push(value); } else { @@ -765,10 +765,10 @@ function addBorderSegments(g) { var children = g.children(v); var node = g.node(v); if (children.length) { - forEach/* default */.Z(children, dfs); + forEach/* default */.c(children, dfs); } - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { node.borderLeft = []; node.borderRight = []; for (var rank = node.minRank, maxRank = node.maxRank + 1; rank < maxRank; ++rank) { @@ -778,7 +778,7 @@ function addBorderSegments(g) { } } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); } function add_border_segments_addBorderNode(g, prop, prefix, sg, sgNode, rank) { @@ -817,10 +817,10 @@ function coordinate_system_undo(g) { } function swapWidthHeight(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapWidthHeightOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { swapWidthHeightOne(g.edge(e)); }); } @@ -832,14 +832,14 @@ function swapWidthHeightOne(attrs) { } function reverseY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { reverseYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, reverseYOne); - if (has/* default */.Z(edge, 'y')) { + forEach/* default */.c(edge.points, reverseYOne); + if (has/* default */.c(edge, 'y')) { reverseYOne(edge); } }); @@ -850,14 +850,14 @@ function reverseYOne(attrs) { } function swapXY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapXYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, swapXYOne); - if (has/* default */.Z(edge, 'x')) { + forEach/* default */.c(edge.points, swapXYOne); + if (has/* default */.c(edge, 'x')) { swapXYOne(edge); } }); @@ -893,7 +893,7 @@ function swapXYOne(attrs) { */ function normalize_run(g) { g.graph().dummyChains = []; - forEach/* default */.Z(g.edges(), function (edge) { + forEach/* default */.c(g.edges(), function (edge) { normalizeEdge(g, edge); }); } @@ -941,7 +941,7 @@ function normalizeEdge(g, e) { } function normalize_undo(g) { - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var origLabel = node.edgeLabel; var w; @@ -992,7 +992,7 @@ function normalize_undo(g) { */ function minBy(array, iteratee) { return (array && array.length) - ? _baseExtremum(array, (0,_baseIteratee/* default */.Z)(iteratee, 2), _baseLt) + ? _baseExtremum(array, (0,_baseIteratee/* default */.c)(iteratee, 2), _baseLt) : undefined; } @@ -1029,13 +1029,13 @@ function longestPath(g) { function dfs(v) { var label = g.node(v); - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return label.rank; } visited[v] = true; var rank = lodash_es_min( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return dfs(e.w) - g.edge(e).minlen; }) ); @@ -1052,7 +1052,7 @@ function longestPath(g) { return (label.rank = rank); } - forEach/* default */.Z(g.sources(), dfs); + forEach/* default */.c(g.sources(), dfs); } /* @@ -1096,7 +1096,7 @@ function slack(g, e) { * edges. */ function feasibleTree(g) { - var t = new graphlib/* Graph */.k({ directed: false }); + var t = new graphlib/* Graph */.M({ directed: false }); // Choose arbitrary node from which to start our tree var start = g.nodes()[0]; @@ -1119,7 +1119,7 @@ function feasibleTree(g) { */ function tightTree(t, g) { function dfs(v) { - forEach/* default */.Z(g.nodeEdges(v), function (e) { + forEach/* default */.c(g.nodeEdges(v), function (e) { var edgeV = e.v, w = v === edgeV ? e.w : edgeV; if (!t.hasNode(w) && !slack(g, e)) { @@ -1130,7 +1130,7 @@ function tightTree(t, g) { }); } - forEach/* default */.Z(t.nodes(), dfs); + forEach/* default */.c(t.nodes(), dfs); return t.nodeCount(); } @@ -1147,15 +1147,15 @@ function findMinSlackEdge(t, g) { } function shiftRanks(t, g, delta) { - forEach/* default */.Z(t.nodes(), function (v) { + forEach/* default */.c(t.nodes(), function (v) { g.node(v).rank += delta; }); } // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createFind.js @@ -1171,9 +1171,9 @@ var keys = __webpack_require__(17179); function createFind(findIndexFunc) { return function(collection, predicate, fromIndex) { var iterable = Object(collection); - if (!(0,isArrayLike/* default */.Z)(collection)) { - var iteratee = (0,_baseIteratee/* default */.Z)(predicate, 3); - collection = (0,keys/* default */.Z)(collection); + if (!(0,isArrayLike/* default */.c)(collection)) { + var iteratee = (0,_baseIteratee/* default */.c)(predicate, 3); + collection = (0,keys/* default */.c)(collection); predicate = function(key) { return iteratee(iterable[key], key, iterable); }; } var index = findIndexFunc(collection, predicate, fromIndex); @@ -1184,9 +1184,9 @@ function createFind(findIndexFunc) { /* harmony default export */ const _createFind = (createFind); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toInteger.js @@ -1217,7 +1217,7 @@ var toFinite = __webpack_require__(94099); * // => 3 */ function toInteger(value) { - var result = (0,toFinite/* default */.Z)(value), + var result = (0,toFinite/* default */.c)(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; @@ -1277,7 +1277,7 @@ function findIndex(array, predicate, fromIndex) { if (index < 0) { index = nativeMax(length + index, 0); } - return (0,_baseFindIndex/* default */.Z)(array, (0,_baseIteratee/* default */.Z)(predicate, 3), index); + return (0,_baseFindIndex/* default */.c)(array, (0,_baseIteratee/* default */.c)(predicate, 3), index); } /* harmony default export */ const lodash_es_findIndex = (findIndex); @@ -1327,14 +1327,14 @@ var find = _createFind(lodash_es_findIndex); /* harmony default export */ const lodash_es_find = (find); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/dijkstra.js -var DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function dijkstra_dijkstra(g, source, weightFn, edgeFn) { return runDijkstra( @@ -1416,7 +1416,7 @@ function dijkstraAll(g, weightFunc, edgeFunc) { -var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function floydWarshall(g, weightFn, edgeFn) { return runFloydWarshall( @@ -1469,15 +1469,15 @@ function runFloydWarshall(g, weightFn, edgeFn) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseKeys.js + 1 modules -var _baseKeys = __webpack_require__(39473); +var _baseKeys = __webpack_require__(61376); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetTag.js + 2 modules -var _baseGetTag = __webpack_require__(93589); +var _baseGetTag = __webpack_require__(67724); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isString.js @@ -1505,13 +1505,13 @@ var stringTag = '[object String]'; */ function isString(value) { return typeof value == 'string' || - (!(0,isArray/* default */.Z)(value) && (0,isObjectLike/* default */.Z)(value) && (0,_baseGetTag/* default */.Z)(value) == stringTag); + (!(0,isArray/* default */.c)(value) && (0,isObjectLike/* default */.c)(value) && (0,_baseGetTag/* default */.c)(value) == stringTag); } /* harmony default export */ const lodash_es_isString = (isString); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_asciiSize.js @@ -1522,7 +1522,7 @@ var _baseProperty = __webpack_require__(54193); * @param {string} string The string inspect. * @returns {number} Returns the string size. */ -var asciiSize = (0,_baseProperty/* default */.Z)('length'); +var asciiSize = (0,_baseProperty/* default */.c)('length'); /* harmony default export */ const _asciiSize = (asciiSize); @@ -1656,14 +1656,14 @@ function size(collection) { if (collection == null) { return 0; } - if ((0,isArrayLike/* default */.Z)(collection)) { + if ((0,isArrayLike/* default */.c)(collection)) { return lodash_es_isString(collection) ? _stringSize(collection) : collection.length; } - var tag = (0,_getTag/* default */.Z)(collection); + var tag = (0,_getTag/* default */.c)(collection); if (tag == mapTag || tag == setTag) { return collection.size; } - return (0,_baseKeys/* default */.Z)(collection).length; + return (0,_baseKeys/* default */.c)(collection).length; } /* harmony default export */ const lodash_es_size = (size); @@ -1681,20 +1681,20 @@ function topsort_topsort(g) { var results = []; function visit(node) { - if (has/* default */.Z(stack, node)) { + if (has/* default */.c(stack, node)) { throw new topsort_CycleException(); } - if (!has/* default */.Z(visited, node)) { + if (!has/* default */.c(visited, node)) { stack[node] = true; visited[node] = true; - forEach/* default */.Z(g.predecessors(node), visit); + forEach/* default */.c(g.predecessors(node), visit); delete stack[node]; results.push(node); } } - forEach/* default */.Z(g.sinks(), visit); + forEach/* default */.c(g.sinks(), visit); if (lodash_es_size(visited) !== g.nodeCount()) { throw new topsort_CycleException(); @@ -1737,7 +1737,7 @@ function isAcyclic(g) { * Order must be one of "pre" or "post". */ function dfs(g, vs, order) { - if (!isArray/* default */.Z(vs)) { + if (!isArray/* default */.c(vs)) { vs = [vs]; } @@ -1745,7 +1745,7 @@ function dfs(g, vs, order) { var acc = []; var visited = {}; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (!g.hasNode(v)) { throw new Error('Graph does not have node: ' + v); } @@ -1756,13 +1756,13 @@ function dfs(g, vs, order) { } function doDfs(g, v, postorder, visited, navigation, acc) { - if (!has/* default */.Z(visited, v)) { + if (!has/* default */.c(visited, v)) { visited[v] = true; if (!postorder) { acc.push(v); } - forEach/* default */.Z(navigation(v), function (w) { + forEach/* default */.c(navigation(v), function (w) { doDfs(g, w, postorder, visited, navigation, acc); }); if (postorder) { @@ -1790,7 +1790,7 @@ function preorder(g, vs) { } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); +var graph = __webpack_require__(58048); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/prim.js @@ -1930,7 +1930,7 @@ function networkSimplex(g) { function initCutValues(t, g) { var vs = postorder(t, t.nodes()); vs = vs.slice(0, vs.length - 1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { assignCutValue(t, g, v); }); } @@ -1962,7 +1962,7 @@ function calcCutValue(t, g, child) { cutValue = graphEdge.weight; - forEach/* default */.Z(g.nodeEdges(child), function (e) { + forEach/* default */.c(g.nodeEdges(child), function (e) { var isOutEdge = e.v === child, other = isOutEdge ? e.w : e.v; @@ -1993,8 +1993,8 @@ function dfsAssignLowLim(tree, visited, nextLim, v, parent) { var label = tree.node(v); visited[v] = true; - forEach/* default */.Z(tree.neighbors(v), function (w) { - if (!has/* default */.Z(visited, w)) { + forEach/* default */.c(tree.neighbors(v), function (w) { + if (!has/* default */.c(visited, w)) { nextLim = dfsAssignLowLim(tree, visited, nextLim, w, v); } }); @@ -2041,7 +2041,7 @@ function enterEdge(t, g, edge) { flip = true; } - var candidates = filter/* default */.Z(g.edges(), function (edge) { + var candidates = filter/* default */.c(g.edges(), function (edge) { return ( flip === isDescendant(t, t.node(edge.v), tailLabel) && flip !== isDescendant(t, t.node(edge.w), tailLabel) @@ -2069,7 +2069,7 @@ function updateRanks(t, g) { }); var vs = preorder(t, root); vs = vs.slice(1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var parent = t.node(v).parent, edge = g.edge(v, parent), flipped = false; @@ -2153,9 +2153,9 @@ function networkSimplexRanker(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/nesting-graph.js @@ -2188,13 +2188,13 @@ var reduce = __webpack_require__(92344); function nesting_graph_run(g) { var root = addDummyNode(g, 'root', {}, '_root'); var depths = treeDepths(g); - var height = lodash_es_max(values/* default */.Z(depths)) - 1; // Note: depths is an Object not an array + var height = lodash_es_max(values/* default */.c(depths)) - 1; // Note: depths is an Object not an array var nodeSep = 2 * height + 1; g.graph().nestingRoot = root; // Multiply minlen by nodeSep to align nodes on non-border ranks. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { g.edge(e).minlen *= nodeSep; }); @@ -2202,7 +2202,7 @@ function nesting_graph_run(g) { var weight = sumWeights(g) + 1; // Create border nodes and link them up - forEach/* default */.Z(g.children(), function (child) { + forEach/* default */.c(g.children(), function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); }); @@ -2229,7 +2229,7 @@ function nesting_graph_dfs(g, root, nodeSep, weight, height, depths, v) { g.setParent(bottom, v); label.borderBottom = bottom; - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); var childNode = g.node(child); @@ -2261,20 +2261,20 @@ function treeDepths(g) { function dfs(v, depth) { var children = g.children(v); if (children && children.length) { - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { dfs(child, depth + 1); }); } depths[v] = depth; } - forEach/* default */.Z(g.children(), function (v) { + forEach/* default */.c(g.children(), function (v) { dfs(v, 1); }); return depths; } function sumWeights(g) { - return reduce/* default */.Z( + return reduce/* default */.c( g.edges(), function (acc, e) { return acc + g.edge(e).weight; @@ -2287,7 +2287,7 @@ function cleanup(g) { var graphLabel = g.graph(); g.removeNode(graphLabel.nestingRoot); delete graphLabel.nestingRoot; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.nestingEdge) { g.removeEdge(e); @@ -2296,7 +2296,7 @@ function cleanup(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); +var _baseClone = __webpack_require__(48492); ;// CONCATENATED MODULE: ./node_modules/lodash-es/cloneDeep.js @@ -2323,7 +2323,7 @@ var CLONE_DEEP_FLAG = 1, * // => false */ function cloneDeep(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); + return (0,_baseClone/* default */.c)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); } /* harmony default export */ const lodash_es_cloneDeep = (cloneDeep); @@ -2337,7 +2337,7 @@ function addSubgraphConstraints(g, cg, vs) { var prev = {}, rootPrev; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var child = g.parent(v), parent, prevChild; @@ -2421,13 +2421,13 @@ function addSubgraphConstraints(g, cg, vs) { */ function buildLayerGraph(g, rank, relationship) { var root = createRootNode(g), - result = new graphlib/* Graph */.k({ compound: true }) + result = new graphlib/* Graph */.M({ compound: true }) .setGraph({ root: root }) .setDefaultNodeLabel(function (v) { return g.node(v); }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v), parent = g.parent(v); @@ -2436,14 +2436,14 @@ function buildLayerGraph(g, rank, relationship) { result.setParent(v, parent || root); // This assumes we have only short edges! - forEach/* default */.Z(g[relationship](v), function (e) { + forEach/* default */.c(g[relationship](v), function (e) { var u = e.v === v ? e.w : e.v, edge = result.edge(u, v), - weight = !isUndefined/* default */.Z(edge) ? edge.weight : 0; + weight = !isUndefined/* default */.c(edge) ? edge.weight : 0; result.setEdge(u, v, { weight: g.edge(e).weight + weight }); }); - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { result.setNode(v, { borderLeft: node.borderLeft[rank], borderRight: node.borderRight[rank], @@ -2457,12 +2457,12 @@ function buildLayerGraph(g, rank, relationship) { function createRootNode(g) { var v; - while (g.hasNode((v = uniqueId/* default */.Z('_root')))); + while (g.hasNode((v = uniqueId/* default */.c('_root')))); return v; } // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseZipObject.js /** * This base implementation of `_.zipObject` which assigns values using `assignFunc`. @@ -2509,19 +2509,19 @@ function baseZipObject(props, values, assignFunc) { * // => { 'a': 1, 'b': 2 } */ function zipObject(props, values) { - return _baseZipObject(props || [], values || [], _assignValue/* default */.Z); + return _baseZipObject(props || [], values || [], _assignValue/* default */.c); } /* harmony default export */ const lodash_es_zipObject = (zipObject); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseMap.js -var _baseMap = __webpack_require__(21018); +var _baseMap = __webpack_require__(90360); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSortBy.js /** * The base implementation of `_.sortBy` which uses `comparer` to define the @@ -2546,7 +2546,7 @@ function baseSortBy(array, comparer) { /* harmony default export */ const _baseSortBy = (baseSortBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_compareAscending.js @@ -2563,12 +2563,12 @@ function compareAscending(value, other) { var valIsDefined = value !== undefined, valIsNull = value === null, valIsReflexive = value === value, - valIsSymbol = (0,isSymbol/* default */.Z)(value); + valIsSymbol = (0,isSymbol/* default */.c)(value); var othIsDefined = other !== undefined, othIsNull = other === null, othIsReflexive = other === other, - othIsSymbol = (0,isSymbol/* default */.Z)(other); + othIsSymbol = (0,isSymbol/* default */.c)(other); if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) || (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) || @@ -2658,23 +2658,23 @@ function compareMultiple(object, other, orders) { */ function baseOrderBy(collection, iteratees, orders) { if (iteratees.length) { - iteratees = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { - if ((0,isArray/* default */.Z)(iteratee)) { + iteratees = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { + if ((0,isArray/* default */.c)(iteratee)) { return function(value) { - return (0,_baseGet/* default */.Z)(value, iteratee.length === 1 ? iteratee[0] : iteratee); + return (0,_baseGet/* default */.c)(value, iteratee.length === 1 ? iteratee[0] : iteratee); } } return iteratee; }); } else { - iteratees = [identity/* default */.Z]; + iteratees = [identity/* default */.c]; } var index = -1; - iteratees = (0,_arrayMap/* default */.Z)(iteratees, (0,_baseUnary/* default */.Z)(_baseIteratee/* default */.Z)); + iteratees = (0,_arrayMap/* default */.c)(iteratees, (0,_baseUnary/* default */.c)(_baseIteratee/* default */.c)); - var result = (0,_baseMap/* default */.Z)(collection, function(value, key, collection) { - var criteria = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { + var result = (0,_baseMap/* default */.c)(collection, function(value, key, collection) { + var criteria = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { return iteratee(value); }); return { 'criteria': criteria, 'index': ++index, 'value': value }; @@ -2688,9 +2688,9 @@ function baseOrderBy(collection, iteratees, orders) { /* harmony default export */ const _baseOrderBy = (baseOrderBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/sortBy.js @@ -2726,17 +2726,17 @@ var _isIterateeCall = __webpack_require__(50439); * _.sortBy(users, ['user', 'age']); * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]] */ -var sortBy = (0,_baseRest/* default */.Z)(function(collection, iteratees) { +var sortBy = (0,_baseRest/* default */.c)(function(collection, iteratees) { if (collection == null) { return []; } var length = iteratees.length; - if (length > 1 && (0,_isIterateeCall/* default */.Z)(collection, iteratees[0], iteratees[1])) { + if (length > 1 && (0,_isIterateeCall/* default */.c)(collection, iteratees[0], iteratees[1])) { iteratees = []; - } else if (length > 2 && (0,_isIterateeCall/* default */.Z)(iteratees[0], iteratees[1], iteratees[2])) { + } else if (length > 2 && (0,_isIterateeCall/* default */.c)(iteratees[0], iteratees[1], iteratees[2])) { iteratees = [iteratees[0]]; } - return _baseOrderBy(collection, (0,_baseFlatten/* default */.Z)(iteratees, 1), []); + return _baseOrderBy(collection, (0,_baseFlatten/* default */.c)(iteratees, 1), []); }); /* harmony default export */ const lodash_es_sortBy = (sortBy); @@ -2776,14 +2776,14 @@ function twoLayerCrossCount(g, northLayer, southLayer) { // their head in the south layer. var southPos = lodash_es_zipObject( southLayer, - map/* default */.Z(southLayer, function (v, i) { + map/* default */.c(southLayer, function (v, i) { return i; }) ); - var southEntries = flatten/* default */.Z( - map/* default */.Z(northLayer, function (v) { + var southEntries = flatten/* default */.c( + map/* default */.c(northLayer, function (v) { return lodash_es_sortBy( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return { pos: southPos[e.w], weight: g.edge(e).weight }; }), 'pos' @@ -2796,13 +2796,13 @@ function twoLayerCrossCount(g, northLayer, southLayer) { while (firstIndex < southLayer.length) firstIndex <<= 1; var treeSize = 2 * firstIndex - 1; firstIndex -= 1; - var tree = map/* default */.Z(new Array(treeSize), function () { + var tree = map/* default */.c(new Array(treeSize), function () { return 0; }); // Calculate the weighted crossings var cc = 0; - forEach/* default */.Z( + forEach/* default */.c( // @ts-expect-error southEntries.forEach(function (entry) { var index = entry.pos + firstIndex; @@ -2843,30 +2843,30 @@ function twoLayerCrossCount(g, northLayer, southLayer) { */ function initOrder(g) { var visited = {}; - var simpleNodes = filter/* default */.Z(g.nodes(), function (v) { + var simpleNodes = filter/* default */.c(g.nodes(), function (v) { return !g.children(v).length; }); var maxRank = lodash_es_max( - map/* default */.Z(simpleNodes, function (v) { + map/* default */.c(simpleNodes, function (v) { return g.node(v).rank; }) ); - var layers = map/* default */.Z(range/* default */.Z(maxRank + 1), function () { + var layers = map/* default */.c(range/* default */.c(maxRank + 1), function () { return []; }); function dfs(v) { - if (has/* default */.Z(visited, v)) return; + if (has/* default */.c(visited, v)) return; visited[v] = true; var node = g.node(v); layers[node.rank].push(v); - forEach/* default */.Z(g.successors(v), dfs); + forEach/* default */.c(g.successors(v), dfs); } var orderedVs = lodash_es_sortBy(simpleNodes, function (v) { return g.node(v).rank; }); - forEach/* default */.Z(orderedVs, dfs); + forEach/* default */.c(orderedVs, dfs); return layers; } @@ -2877,12 +2877,12 @@ function initOrder(g) { function barycenter(g, movable) { - return map/* default */.Z(movable, function (v) { + return map/* default */.c(movable, function (v) { var inV = g.inEdges(v); if (!inV.length) { return { v: v }; } else { - var result = reduce/* default */.Z( + var result = reduce/* default */.c( inV, function (acc, e) { var edge = g.edge(e), @@ -2936,7 +2936,7 @@ function barycenter(g, movable) { */ function resolveConflicts(entries, cg) { var mappedEntries = {}; - forEach/* default */.Z(entries, function (entry, i) { + forEach/* default */.c(entries, function (entry, i) { var tmp = (mappedEntries[entry.v] = { indegree: 0, in: [], @@ -2944,7 +2944,7 @@ function resolveConflicts(entries, cg) { vs: [entry.v], i: i, }); - if (!isUndefined/* default */.Z(entry.barycenter)) { + if (!isUndefined/* default */.c(entry.barycenter)) { // @ts-expect-error tmp.barycenter = entry.barycenter; // @ts-expect-error @@ -2952,16 +2952,16 @@ function resolveConflicts(entries, cg) { } }); - forEach/* default */.Z(cg.edges(), function (e) { + forEach/* default */.c(cg.edges(), function (e) { var entryV = mappedEntries[e.v]; var entryW = mappedEntries[e.w]; - if (!isUndefined/* default */.Z(entryV) && !isUndefined/* default */.Z(entryW)) { + if (!isUndefined/* default */.c(entryV) && !isUndefined/* default */.c(entryW)) { entryW.indegree++; entryV.out.push(mappedEntries[e.w]); } }); - var sourceSet = filter/* default */.Z(mappedEntries, function (entry) { + var sourceSet = filter/* default */.c(mappedEntries, function (entry) { // @ts-expect-error return !entry.indegree; }); @@ -2978,8 +2978,8 @@ function doResolveConflicts(sourceSet) { return; } if ( - isUndefined/* default */.Z(uEntry.barycenter) || - isUndefined/* default */.Z(vEntry.barycenter) || + isUndefined/* default */.c(uEntry.barycenter) || + isUndefined/* default */.c(vEntry.barycenter) || uEntry.barycenter >= vEntry.barycenter ) { mergeEntries(vEntry, uEntry); @@ -2999,16 +2999,16 @@ function doResolveConflicts(sourceSet) { while (sourceSet.length) { var entry = sourceSet.pop(); entries.push(entry); - forEach/* default */.Z(entry['in'].reverse(), handleIn(entry)); - forEach/* default */.Z(entry.out, handleOut(entry)); + forEach/* default */.c(entry['in'].reverse(), handleIn(entry)); + forEach/* default */.c(entry.out, handleOut(entry)); } - return map/* default */.Z( - filter/* default */.Z(entries, function (entry) { + return map/* default */.c( + filter/* default */.c(entries, function (entry) { return !entry.merged; }), function (entry) { - return pick/* default */.Z(entry, ['vs', 'i', 'barycenter', 'weight']); + return pick/* default */.c(entry, ['vs', 'i', 'barycenter', 'weight']); } ); } @@ -3042,7 +3042,7 @@ function mergeEntries(target, source) { function sort(entries, biasRight) { var parts = partition(entries, function (entry) { - return has/* default */.Z(entry, 'barycenter'); + return has/* default */.c(entry, 'barycenter'); }); var sortable = parts.lhs, unsortable = lodash_es_sortBy(parts.rhs, function (entry) { @@ -3057,7 +3057,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); - forEach/* default */.Z(sortable, function (entry) { + forEach/* default */.c(sortable, function (entry) { vsIndex += entry.vs.length; vs.push(entry.vs); sum += entry.barycenter * entry.weight; @@ -3065,7 +3065,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); }); - var result = { vs: flatten/* default */.Z(vs) }; + var result = { vs: flatten/* default */.c(vs) }; if (weight) { result.barycenter = sum / weight; result.weight = weight; @@ -3111,17 +3111,17 @@ function sortSubgraph(g, v, cg, biasRight) { var subgraphs = {}; if (bl) { - movable = filter/* default */.Z(movable, function (w) { + movable = filter/* default */.c(movable, function (w) { return w !== bl && w !== br; }); } var barycenters = barycenter(g, movable); - forEach/* default */.Z(barycenters, function (entry) { + forEach/* default */.c(barycenters, function (entry) { if (g.children(entry.v).length) { var subgraphResult = sortSubgraph(g, entry.v, cg, biasRight); subgraphs[entry.v] = subgraphResult; - if (has/* default */.Z(subgraphResult, 'barycenter')) { + if (has/* default */.c(subgraphResult, 'barycenter')) { mergeBarycenters(entry, subgraphResult); } } @@ -3133,11 +3133,11 @@ function sortSubgraph(g, v, cg, biasRight) { var result = sort(entries, biasRight); if (bl) { - result.vs = flatten/* default */.Z([bl, result.vs, br]); + result.vs = flatten/* default */.c([bl, result.vs, br]); if (g.predecessors(bl).length) { var blPred = g.node(g.predecessors(bl)[0]), brPred = g.node(g.predecessors(br)[0]); - if (!has/* default */.Z(result, 'barycenter')) { + if (!has/* default */.c(result, 'barycenter')) { result.barycenter = 0; result.weight = 0; } @@ -3151,8 +3151,8 @@ function sortSubgraph(g, v, cg, biasRight) { } function expandSubgraphs(entries, subgraphs) { - forEach/* default */.Z(entries, function (entry) { - entry.vs = flatten/* default */.Z( + forEach/* default */.c(entries, function (entry) { + entry.vs = flatten/* default */.c( entry.vs.map(function (v) { if (subgraphs[v]) { return subgraphs[v].vs; @@ -3164,7 +3164,7 @@ function expandSubgraphs(entries, subgraphs) { } function mergeBarycenters(target, other) { - if (!isUndefined/* default */.Z(target.barycenter)) { + if (!isUndefined/* default */.c(target.barycenter)) { target.barycenter = (target.barycenter * target.weight + other.barycenter * other.weight) / (target.weight + other.weight); @@ -3204,8 +3204,8 @@ function mergeBarycenters(target, other) { */ function order(g) { var maxRank = util_maxRank(g), - downLayerGraphs = buildLayerGraphs(g, range/* default */.Z(1, maxRank + 1), 'inEdges'), - upLayerGraphs = buildLayerGraphs(g, range/* default */.Z(maxRank - 1, -1, -1), 'outEdges'); + downLayerGraphs = buildLayerGraphs(g, range/* default */.c(1, maxRank + 1), 'inEdges'), + upLayerGraphs = buildLayerGraphs(g, range/* default */.c(maxRank - 1, -1, -1), 'outEdges'); var layering = initOrder(g); assignOrder(g, layering); @@ -3229,17 +3229,17 @@ function order(g) { } function buildLayerGraphs(g, ranks, relationship) { - return map/* default */.Z(ranks, function (rank) { + return map/* default */.c(ranks, function (rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { - var cg = new graphlib/* Graph */.k(); - forEach/* default */.Z(layerGraphs, function (lg) { + var cg = new graphlib/* Graph */.M(); + forEach/* default */.c(layerGraphs, function (lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); - forEach/* default */.Z(sorted.vs, function (v, i) { + forEach/* default */.c(sorted.vs, function (v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); @@ -3247,8 +3247,8 @@ function sweepLayerGraphs(layerGraphs, biasRight) { } function assignOrder(g, layering) { - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, i) { g.node(v).order = i; }); }); @@ -3262,7 +3262,7 @@ function assignOrder(g, layering) { function parentDummyChains(g) { var postorderNums = parent_dummy_chains_postorder(g); - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var edgeObj = node.edgeObj; var pathData = findPath(g, postorderNums, edgeObj.v, edgeObj.w); @@ -3334,16 +3334,16 @@ function parent_dummy_chains_postorder(g) { function dfs(v) { var low = lim; - forEach/* default */.Z(g.children(v), dfs); + forEach/* default */.c(g.children(v), dfs); result[v] = { low: low, lim: lim++ }; } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); return result; } // EXTERNAL MODULE: ./node_modules/lodash-es/_castFunction.js -var _castFunction = __webpack_require__(68882); +var _castFunction = __webpack_require__(12176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forOwn.js @@ -3377,15 +3377,15 @@ var _castFunction = __webpack_require__(68882); * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forOwn(object, iteratee) { - return object && (0,_baseForOwn/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee)); + return object && (0,_baseForOwn/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee)); } /* harmony default export */ const lodash_es_forOwn = (forOwn); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFor.js + 1 modules -var _baseFor = __webpack_require__(61395); +var _baseFor = __webpack_require__(19004); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forIn.js @@ -3422,7 +3422,7 @@ var keysIn = __webpack_require__(32957); function forIn(object, iteratee) { return object == null ? object - : (0,_baseFor/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee), keysIn/* default */.Z); + : (0,_baseFor/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee), keysIn/* default */.c); } /* harmony default export */ const lodash_es_forIn = (forIn); @@ -3469,13 +3469,13 @@ function findType1Conflicts(g, layering) { prevLayerLength = prevLayer.length, lastNode = lodash_es_last(layer); - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var w = findOtherInnerSegmentNode(g, v), k1 = w ? g.node(w).order : prevLayerLength; if (w || v === lastNode) { - forEach/* default */.Z(layer.slice(scanPos, i + 1), function (scanNode) { - forEach/* default */.Z(g.predecessors(scanNode), function (u) { + forEach/* default */.c(layer.slice(scanPos, i + 1), function (scanNode) { + forEach/* default */.c(g.predecessors(scanNode), function (u) { var uLabel = g.node(u), uPos = uLabel.order; if ((uPos < k0 || k1 < uPos) && !(uLabel.dummy && g.node(scanNode).dummy)) { @@ -3492,7 +3492,7 @@ function findType1Conflicts(g, layering) { return layer; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3501,10 +3501,10 @@ function findType2Conflicts(g, layering) { function scan(south, southPos, southEnd, prevNorthBorder, nextNorthBorder) { var v; - forEach/* default */.Z(range/* default */.Z(southPos, southEnd), function (i) { + forEach/* default */.c(range/* default */.c(southPos, southEnd), function (i) { v = south[i]; if (g.node(v).dummy) { - forEach/* default */.Z(g.predecessors(v), function (u) { + forEach/* default */.c(g.predecessors(v), function (u) { var uNode = g.node(u); if (uNode.dummy && (uNode.order < prevNorthBorder || uNode.order > nextNorthBorder)) { addConflict(conflicts, u, v); @@ -3519,7 +3519,7 @@ function findType2Conflicts(g, layering) { nextNorthPos, southPos = 0; - forEach/* default */.Z(south, function (v, southLookahead) { + forEach/* default */.c(south, function (v, southLookahead) { if (g.node(v).dummy === 'border') { var predecessors = g.predecessors(v); if (predecessors.length) { @@ -3536,7 +3536,7 @@ function findType2Conflicts(g, layering) { return south; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3568,7 +3568,7 @@ function hasConflict(conflicts, v, w) { v = w; w = tmp; } - return has/* default */.Z(conflicts[v], w); + return has/* default */.c(conflicts[v], w); } /* @@ -3587,17 +3587,17 @@ function verticalAlignment(g, layering, conflicts, neighborFn) { // We cache the position here based on the layering because the graph and // layering may be out of sync. The layering matrix is manipulated to // generate different extreme alignments. - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, order) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, order) { root[v] = v; align[v] = v; pos[v] = order; }); }); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var prevIdx = -1; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var ws = neighborFn(v); if (ws.length) { ws = lodash_es_sortBy(ws, function (w) { @@ -3669,7 +3669,7 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { iterate(pass2, blockG.successors.bind(blockG)); // Assign x coordinates to all nodes - forEach/* default */.Z(align, function (v) { + forEach/* default */.c(align, function (v) { xs[v] = xs[root[v]]; }); @@ -3677,13 +3677,13 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { } function buildBlockGraph(g, layering, root, reverseSep) { - var blockGraph = new graphlib/* Graph */.k(), + var blockGraph = new graphlib/* Graph */.M(), graphLabel = g.graph(), sepFn = sep(graphLabel.nodesep, graphLabel.edgesep, reverseSep); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var u; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var vRoot = root[v]; blockGraph.setNode(vRoot); if (u) { @@ -3702,7 +3702,7 @@ function buildBlockGraph(g, layering, root, reverseSep) { * Returns the alignment that has the smallest width of the given alignments. */ function findSmallestWidthAlignment(g, xss) { - return lodash_es_minBy(values/* default */.Z(xss), function (xs) { + return lodash_es_minBy(values/* default */.c(xss), function (xs) { var max = Number.NEGATIVE_INFINITY; var min = Number.POSITIVE_INFINITY; @@ -3725,18 +3725,18 @@ function findSmallestWidthAlignment(g, xss) { * coordinate of the smallest width alignment. */ function alignCoordinates(xss, alignTo) { - var alignToVals = values/* default */.Z(alignTo), + var alignToVals = values/* default */.c(alignTo), alignToMin = lodash_es_min(alignToVals), alignToMax = lodash_es_max(alignToVals); - forEach/* default */.Z(['u', 'd'], function (vert) { - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + forEach/* default */.c(['l', 'r'], function (horiz) { var alignment = vert + horiz, xs = xss[alignment], delta; if (xs === alignTo) return; - var xsVals = values/* default */.Z(xs); + var xsVals = values/* default */.c(xs); delta = horiz === 'l' ? alignToMin - lodash_es_min(xsVals) : alignToMax - lodash_es_max(xsVals); if (delta) { @@ -3753,7 +3753,7 @@ function balance(xss, align) { if (align) { return xss[align.toLowerCase()][v]; } else { - var xs = lodash_es_sortBy(map/* default */.Z(xss, v)); + var xs = lodash_es_sortBy(map/* default */.c(xss, v)); return (xs[1] + xs[2]) / 2; } }); @@ -3761,16 +3761,16 @@ function balance(xss, align) { function positionX(g) { var layering = buildLayerMatrix(g); - var conflicts = merge/* default */.Z(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); + var conflicts = merge/* default */.c(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); var xss = {}; var adjustedLayering; - forEach/* default */.Z(['u', 'd'], function (vert) { - adjustedLayering = vert === 'u' ? layering : values/* default */.Z(layering).reverse(); - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + adjustedLayering = vert === 'u' ? layering : values/* default */.c(layering).reverse(); + forEach/* default */.c(['l', 'r'], function (horiz) { if (horiz === 'r') { - adjustedLayering = map/* default */.Z(adjustedLayering, function (inner) { - return values/* default */.Z(inner).reverse(); + adjustedLayering = map/* default */.c(adjustedLayering, function (inner) { + return values/* default */.c(inner).reverse(); }); } @@ -3799,7 +3799,7 @@ function sep(nodeSep, edgeSep, reverseSep) { var delta; sum += vLabel.width / 2; - if (has/* default */.Z(vLabel, 'labelpos')) { + if (has/* default */.c(vLabel, 'labelpos')) { switch (vLabel.labelpos.toLowerCase()) { case 'l': delta = -vLabel.width / 2; @@ -3818,7 +3818,7 @@ function sep(nodeSep, edgeSep, reverseSep) { sum += (wLabel.dummy ? edgeSep : nodeSep) / 2; sum += wLabel.width / 2; - if (has/* default */.Z(wLabel, 'labelpos')) { + if (has/* default */.c(wLabel, 'labelpos')) { switch (wLabel.labelpos.toLowerCase()) { case 'l': delta = wLabel.width / 2; @@ -3861,13 +3861,13 @@ function positionY(g) { var layering = buildLayerMatrix(g); var rankSep = g.graph().ranksep; var prevY = 0; - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var maxHeight = lodash_es_max( - map/* default */.Z(layer, function (v) { + map/* default */.c(layer, function (v) { return g.node(v).height; }) ); - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { g.node(v).y = prevY + maxHeight / 2; }); prevY += maxHeight + rankSep; @@ -3996,7 +3996,7 @@ function runLayout(g, time) { * attributes can influence layout. */ function updateInputGraph(inputGraph, layoutGraph) { - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var inputLabel = inputGraph.node(v); var layoutLabel = layoutGraph.node(v); @@ -4011,12 +4011,12 @@ function updateInputGraph(inputGraph, layoutGraph) { } }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var inputLabel = inputGraph.edge(e); var layoutLabel = layoutGraph.edge(e); inputLabel.points = layoutLabel.points; - if (has/* default */.Z(layoutLabel, 'x')) { + if (has/* default */.c(layoutLabel, 'x')) { inputLabel.x = layoutLabel.x; inputLabel.y = layoutLabel.y; } @@ -4049,24 +4049,24 @@ var edgeAttrs = ['labelpos']; * attributes can influence layout. */ function buildLayoutGraph(inputGraph) { - var g = new graphlib/* Graph */.k({ multigraph: true, compound: true }); + var g = new graphlib/* Graph */.M({ multigraph: true, compound: true }); var graph = canonicalize(inputGraph.graph()); g.setGraph( - merge/* default */.Z({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.Z(graph, graphAttrs)) + merge/* default */.c({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.c(graph, graphAttrs)) ); - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var node = canonicalize(inputGraph.node(v)); - g.setNode(v, defaults/* default */.Z(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); + g.setNode(v, defaults/* default */.c(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); g.setParent(v, inputGraph.parent(v)); }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var edge = canonicalize(inputGraph.edge(e)); g.setEdge( e, - merge/* default */.Z({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.Z(edge, edgeAttrs)) + merge/* default */.c({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.c(edge, edgeAttrs)) ); }); @@ -4084,7 +4084,7 @@ function buildLayoutGraph(inputGraph) { function makeSpaceForEdgeLabels(g) { var graph = g.graph(); graph.ranksep /= 2; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); edge.minlen *= 2; if (edge.labelpos.toLowerCase() !== 'c') { @@ -4104,7 +4104,7 @@ function makeSpaceForEdgeLabels(g) { * label's position. */ function injectEdgeLabelProxies(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.width && edge.height) { var v = g.node(e.v); @@ -4117,7 +4117,7 @@ function injectEdgeLabelProxies(g) { function assignRankMinMax(g) { var maxRank = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.borderTop) { node.minRank = g.node(node.borderTop).rank; @@ -4130,7 +4130,7 @@ function assignRankMinMax(g) { } function removeEdgeLabelProxies(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'edge-proxy') { g.edge(node.e).labelRank = node.rank; @@ -4159,12 +4159,12 @@ function translateGraph(g) { maxY = Math.max(maxY, y + h / 2); } - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { getExtremes(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { getExtremes(edge); } }); @@ -4172,22 +4172,22 @@ function translateGraph(g) { minX -= marginX; minY -= marginY; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); node.x -= minX; node.y -= minY; }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, function (p) { + forEach/* default */.c(edge.points, function (p) { p.x -= minX; p.y -= minY; }); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { edge.x -= minX; } - if (has/* default */.Z(edge, 'y')) { + if (has/* default */.c(edge, 'y')) { edge.y -= minY; } }); @@ -4197,7 +4197,7 @@ function translateGraph(g) { } function assignNodeIntersects(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); var nodeV = g.node(e.v); var nodeW = g.node(e.w); @@ -4216,9 +4216,9 @@ function assignNodeIntersects(g) { } function fixupEdgeLabelCoords(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { if (edge.labelpos === 'l' || edge.labelpos === 'r') { edge.width -= edge.labeloffset; } @@ -4235,7 +4235,7 @@ function fixupEdgeLabelCoords(g) { } function reversePointsForReversedEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.reversed) { edge.points.reverse(); @@ -4244,7 +4244,7 @@ function reversePointsForReversedEdges(g) { } function removeBorderNodes(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.children(v).length) { var node = g.node(v); var t = g.node(node.borderTop); @@ -4259,7 +4259,7 @@ function removeBorderNodes(g) { } }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.node(v).dummy === 'border') { g.removeNode(v); } @@ -4267,7 +4267,7 @@ function removeBorderNodes(g) { } function removeSelfEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { if (e.v === e.w) { var node = g.node(e.v); if (!node.selfEdges) { @@ -4281,12 +4281,12 @@ function removeSelfEdges(g) { function insertSelfEdges(g) { var layers = buildLayerMatrix(g); - forEach/* default */.Z(layers, function (layer) { + forEach/* default */.c(layers, function (layer) { var orderShift = 0; - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var node = g.node(v); node.order = i + orderShift; - forEach/* default */.Z(node.selfEdges, function (selfEdge) { + forEach/* default */.c(node.selfEdges, function (selfEdge) { addDummyNode( g, 'selfedge', @@ -4307,7 +4307,7 @@ function insertSelfEdges(g) { } function positionSelfEdges(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'selfedge') { var selfNode = g.node(node.e.v); @@ -4331,12 +4331,12 @@ function positionSelfEdges(g) { } function selectNumberAttrs(obj, attrs) { - return lodash_es_mapValues(pick/* default */.Z(obj, attrs), Number); + return lodash_es_mapValues(pick/* default */.c(obj, attrs), Number); } function canonicalize(attrs) { var newAttrs = {}; - forEach/* default */.Z(attrs, function (v, k) { + forEach/* default */.c(attrs, function (v, k) { newAttrs[k.toLowerCase()] = v; }); return newAttrs; @@ -4353,39 +4353,39 @@ function canonicalize(attrs) { /***/ }), -/***/ 52544: +/***/ 58048: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - k: () => (/* binding */ Graph) + M: () => (/* binding */ Graph) }); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/isFunction.js -var isFunction = __webpack_require__(73234); +var isFunction = __webpack_require__(59680); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); // EXTERNAL MODULE: ./node_modules/lodash-es/isEmpty.js -var isEmpty = __webpack_require__(79697); +var isEmpty = __webpack_require__(28796); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsNaN.js /** * The base implementation of `_.isNaN` without support for number objects. @@ -4442,7 +4442,7 @@ function strictIndexOf(array, value, fromIndex) { function baseIndexOf(array, value, fromIndex) { return value === value ? _strictIndexOf(array, value, fromIndex) - : (0,_baseFindIndex/* default */.Z)(array, _baseIsNaN, fromIndex); + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); } /* harmony default export */ const _baseIndexOf = (baseIndexOf); @@ -4491,9 +4491,9 @@ function arrayIncludesWith(array, value, comparator) { /* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); // EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js -var _Set = __webpack_require__(93203); +var _Set = __webpack_require__(61268); ;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js /** * This method returns `undefined`. @@ -4514,7 +4514,7 @@ function noop() { /* harmony default export */ const lodash_es_noop = (noop); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js @@ -4530,8 +4530,8 @@ var INFINITY = 1 / 0; * @param {Array} values The values to add to the set. * @returns {Object} Returns the new set. */ -var createSet = !(_Set/* default */.Z && (1 / (0,_setToArray/* default */.Z)(new _Set/* default */.Z([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { - return new _Set/* default */.Z(values); +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); }; /* harmony default export */ const _createSet = (createSet); @@ -4571,11 +4571,11 @@ function baseUniq(array, iteratee, comparator) { else if (length >= LARGE_ARRAY_SIZE) { var set = iteratee ? null : _createSet(array); if (set) { - return (0,_setToArray/* default */.Z)(set); + return (0,_setToArray/* default */.c)(set); } isCommon = false; - includes = _cacheHas/* default */.Z; - seen = new _SetCache/* default */.Z; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; } else { seen = iteratee ? [] : result; @@ -4611,7 +4611,7 @@ function baseUniq(array, iteratee, comparator) { /* harmony default export */ const _baseUniq = (baseUniq); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js -var isArrayLikeObject = __webpack_require__(836); +var isArrayLikeObject = __webpack_require__(19724); ;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js @@ -4634,16 +4634,16 @@ var isArrayLikeObject = __webpack_require__(836); * _.union([2], [1, 2]); * // => [2, 1] */ -var union = (0,_baseRest/* default */.Z)(function(arrays) { - return _baseUniq((0,_baseFlatten/* default */.Z)(arrays, 1, isArrayLikeObject/* default */.Z, true)); +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); }); /* harmony default export */ const lodash_es_union = (union); // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js @@ -4672,18 +4672,18 @@ var EDGE_KEY_DELIM = '\x01'; // we're going to get to a performant hashtable in JavaScript. class Graph { constructor(opts = {}) { - this._isDirected = has/* default */.Z(opts, 'directed') ? opts.directed : true; - this._isMultigraph = has/* default */.Z(opts, 'multigraph') ? opts.multigraph : false; - this._isCompound = has/* default */.Z(opts, 'compound') ? opts.compound : false; + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; // Label for the graph itself this._label = undefined; // Defaults to be set when creating a new node - this._defaultNodeLabelFn = constant/* default */.Z(undefined); + this._defaultNodeLabelFn = constant/* default */.c(undefined); // Defaults to be set when creating a new edge - this._defaultEdgeLabelFn = constant/* default */.Z(undefined); + this._defaultEdgeLabelFn = constant/* default */.c(undefined); // v -> label this._nodes = {}; @@ -4734,8 +4734,8 @@ class Graph { } /* === Node functions ========== */ setDefaultNodeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultNodeLabelFn = newDefault; return this; @@ -4744,24 +4744,24 @@ class Graph { return this._nodeCount; } nodes() { - return keys/* default */.Z(this._nodes); + return keys/* default */.c(this._nodes); } sources() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._in[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); }); } sinks() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._out[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); }); } setNodes(vs, value) { var args = arguments; var self = this; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (args.length > 1) { self.setNode(v, value); } else { @@ -4771,7 +4771,7 @@ class Graph { return this; } setNode(v, value) { - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { if (arguments.length > 1) { this._nodes[v] = value; } @@ -4796,11 +4796,11 @@ class Graph { return this._nodes[v]; } hasNode(v) { - return has/* default */.Z(this._nodes, v); + return has/* default */.c(this._nodes, v); } removeNode(v) { var self = this; - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { var removeEdge = function (e) { self.removeEdge(self._edgeObjs[e]); }; @@ -4808,15 +4808,15 @@ class Graph { if (this._isCompound) { this._removeFromParentsChildList(v); delete this._parent[v]; - forEach/* default */.Z(this.children(v), function (child) { + forEach/* default */.c(this.children(v), function (child) { self.setParent(child); }); delete this._children[v]; } - forEach/* default */.Z(keys/* default */.Z(this._in[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); delete this._in[v]; delete this._preds[v]; - forEach/* default */.Z(keys/* default */.Z(this._out[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); delete this._out[v]; delete this._sucs[v]; --this._nodeCount; @@ -4828,12 +4828,12 @@ class Graph { throw new Error('Cannot set parent in a non-compound graph'); } - if (isUndefined/* default */.Z(parent)) { + if (isUndefined/* default */.c(parent)) { parent = GRAPH_NODE; } else { // Coerce parent to string parent += ''; - for (var ancestor = parent; !isUndefined/* default */.Z(ancestor); ancestor = this.parent(ancestor)) { + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { if (ancestor === v) { throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); } @@ -4860,14 +4860,14 @@ class Graph { } } children(v) { - if (isUndefined/* default */.Z(v)) { + if (isUndefined/* default */.c(v)) { v = GRAPH_NODE; } if (this._isCompound) { var children = this._children[v]; if (children) { - return keys/* default */.Z(children); + return keys/* default */.c(children); } } else if (v === GRAPH_NODE) { return this.nodes(); @@ -4878,13 +4878,13 @@ class Graph { predecessors(v) { var predsV = this._preds[v]; if (predsV) { - return keys/* default */.Z(predsV); + return keys/* default */.c(predsV); } } successors(v) { var sucsV = this._sucs[v]; if (sucsV) { - return keys/* default */.Z(sucsV); + return keys/* default */.c(sucsV); } } neighbors(v) { @@ -4913,13 +4913,13 @@ class Graph { copy.setGraph(this.graph()); var self = this; - forEach/* default */.Z(this._nodes, function (value, v) { + forEach/* default */.c(this._nodes, function (value, v) { if (filter(v)) { copy.setNode(v, value); } }); - forEach/* default */.Z(this._edgeObjs, function (e) { + forEach/* default */.c(this._edgeObjs, function (e) { // @ts-expect-error if (copy.hasNode(e.v) && copy.hasNode(e.w)) { copy.setEdge(e, self.edge(e)); @@ -4940,7 +4940,7 @@ class Graph { } if (this._isCompound) { - forEach/* default */.Z(copy.nodes(), function (v) { + forEach/* default */.c(copy.nodes(), function (v) { copy.setParent(v, findParent(v)); }); } @@ -4949,8 +4949,8 @@ class Graph { } /* === Edge functions ========== */ setDefaultEdgeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultEdgeLabelFn = newDefault; return this; @@ -4959,12 +4959,12 @@ class Graph { return this._edgeCount; } edges() { - return values/* default */.Z(this._edgeObjs); + return values/* default */.c(this._edgeObjs); } setPath(vs, value) { var self = this; var args = arguments; - reduce/* default */.Z(vs, function (v, w) { + reduce/* default */.c(vs, function (v, w) { if (args.length > 1) { self.setEdge(v, w, value); } else { @@ -5003,19 +5003,19 @@ class Graph { v = '' + v; w = '' + w; - if (!isUndefined/* default */.Z(name)) { + if (!isUndefined/* default */.c(name)) { name = '' + name; } var e = edgeArgsToId(this._isDirected, v, w, name); - if (has/* default */.Z(this._edgeLabels, e)) { + if (has/* default */.c(this._edgeLabels, e)) { if (valueSpecified) { this._edgeLabels[e] = value; } return this; } - if (!isUndefined/* default */.Z(name) && !this._isMultigraph) { + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { throw new Error('Cannot set a named edge when isMultigraph = false'); } @@ -5053,7 +5053,7 @@ class Graph { arguments.length === 1 ? edgeObjToId(this._isDirected, arguments[0]) : edgeArgsToId(this._isDirected, v, w, name); - return has/* default */.Z(this._edgeLabels, e); + return has/* default */.c(this._edgeLabels, e); } removeEdge(v, w, name) { var e = @@ -5077,11 +5077,11 @@ class Graph { inEdges(v, u) { var inV = this._in[v]; if (inV) { - var edges = values/* default */.Z(inV); + var edges = values/* default */.c(inV); if (!u) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.v === u; }); } @@ -5089,11 +5089,11 @@ class Graph { outEdges(v, w) { var outV = this._out[v]; if (outV) { - var edges = values/* default */.Z(outV); + var edges = values/* default */.c(outV); if (!w) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.w === w; }); } @@ -5134,7 +5134,7 @@ function edgeArgsToId(isDirected, v_, w_, name) { v = w; w = tmp; } - return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.Z(name) ? DEFAULT_EDGE_NAME : name); + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); } function edgeArgsToObj(isDirected, v_, w_, name) { @@ -5159,14 +5159,14 @@ function edgeObjToId(isDirected, edgeObj) { /***/ }), -/***/ 45625: +/***/ 95536: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ k: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.k) +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) /* harmony export */ }); /* unused harmony export version */ -/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(52544); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); // Includes only the "core" of graphlib @@ -5178,17 +5178,17 @@ const version = '2.1.9-pre'; /***/ }), -/***/ 63001: +/***/ 34528: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _SetCache) + c: () => (/* binding */ _SetCache) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules -var _MapCache = __webpack_require__(37834); +var _MapCache = __webpack_require__(86320); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; @@ -5243,7 +5243,7 @@ function SetCache(values) { var index = -1, length = values == null ? 0 : values.length; - this.__data__ = new _MapCache/* default */.Z; + this.__data__ = new _MapCache/* default */.c; while (++index < length) { this.add(values[index]); } @@ -5258,11 +5258,11 @@ SetCache.prototype.has = _setCacheHas; /***/ }), -/***/ 76579: +/***/ 56812: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.forEach` for arrays without support for @@ -5290,11 +5290,11 @@ function arrayEach(array, iteratee) { /***/ }), -/***/ 68774: +/***/ 46091: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.filter` for arrays without support for @@ -5325,11 +5325,11 @@ function arrayFilter(array, predicate) { /***/ }), -/***/ 74073: +/***/ 1304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.map` for arrays without support for iteratee @@ -5356,11 +5356,11 @@ function arrayMap(array, iteratee) { /***/ }), -/***/ 58694: +/***/ 25072: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Appends the elements of `values` to `array`. @@ -5386,25 +5386,25 @@ function arrayPush(array, values) { /***/ }), -/***/ 48451: +/***/ 48492: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseClone) + c: () => (/* binding */ _baseClone) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js -var _arrayEach = __webpack_require__(76579); +var _arrayEach = __webpack_require__(56812); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js -var _copyObject = __webpack_require__(31899); +var _copyObject = __webpack_require__(58904); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js @@ -5419,13 +5419,13 @@ var keys = __webpack_require__(17179); * @returns {Object} Returns `object`. */ function baseAssign(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keys/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); } /* harmony default export */ const _baseAssign = (baseAssign); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js @@ -5440,17 +5440,17 @@ var keysIn = __webpack_require__(32957); * @returns {Object} Returns `object`. */ function baseAssignIn(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keysIn/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); } /* harmony default export */ const _baseAssignIn = (baseAssignIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js -var _cloneBuffer = __webpack_require__(91050); +var _cloneBuffer = __webpack_require__(86656); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js -var _copyArray = __webpack_require__(87215); +var _copyArray = __webpack_require__(32488); // EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js -var _getSymbols = __webpack_require__(95695); +var _getSymbols = __webpack_require__(10772); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js @@ -5464,17 +5464,17 @@ var _getSymbols = __webpack_require__(95695); * @returns {Object} Returns `object`. */ function copySymbols(source, object) { - return (0,_copyObject/* default */.Z)(source, (0,_getSymbols/* default */.Z)(source), object); + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); } /* harmony default export */ const _copySymbols = (copySymbols); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js -var _getPrototype = __webpack_require__(12513); +var _getPrototype = __webpack_require__(75388); // EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js -var stubArray = __webpack_require__(60532); +var stubArray = __webpack_require__(41716); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js @@ -5491,11 +5491,11 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(object) { +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { var result = []; while (object) { - (0,_arrayPush/* default */.Z)(result, (0,_getSymbols/* default */.Z)(object)); - object = (0,_getPrototype/* default */.Z)(object); + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); } return result; }; @@ -5515,15 +5515,15 @@ var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(objec * @returns {Object} Returns `object`. */ function copySymbolsIn(source, object) { - return (0,_copyObject/* default */.Z)(source, _getSymbolsIn(source), object); + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); } /* harmony default export */ const _copySymbolsIn = (copySymbolsIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js -var _baseGetAllKeys = __webpack_require__(63327); +var _baseGetAllKeys = __webpack_require__(30176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js @@ -5538,13 +5538,13 @@ var _baseGetAllKeys = __webpack_require__(63327); * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { - return (0,_baseGetAllKeys/* default */.Z)(object, keysIn/* default */.Z, _getSymbolsIn); + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); } /* harmony default export */ const _getAllKeysIn = (getAllKeysIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js /** Used for built-in method references. */ var objectProto = Object.prototype; @@ -5574,7 +5574,7 @@ function initCloneArray(array) { /* harmony default export */ const _initCloneArray = (initCloneArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js -var _cloneArrayBuffer = __webpack_require__(41884); +var _cloneArrayBuffer = __webpack_require__(40976); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js @@ -5587,7 +5587,7 @@ var _cloneArrayBuffer = __webpack_require__(41884); * @returns {Object} Returns the cloned data view. */ function cloneDataView(dataView, isDeep) { - var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.Z)(dataView.buffer) : dataView.buffer; + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); } @@ -5613,12 +5613,12 @@ function cloneRegExp(regexp) { /* harmony default export */ const _cloneRegExp = (cloneRegExp); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -5635,7 +5635,7 @@ function cloneSymbol(symbol) { /* harmony default export */ const _cloneSymbol = (cloneSymbol); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js -var _cloneTypedArray = __webpack_require__(12701); +var _cloneTypedArray = __webpack_require__(70552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js @@ -5681,7 +5681,7 @@ function initCloneByTag(object, tag, isDeep) { var Ctor = object.constructor; switch (tag) { case arrayBufferTag: - return (0,_cloneArrayBuffer/* default */.Z)(object); + return (0,_cloneArrayBuffer/* default */.c)(object); case boolTag: case dateTag: @@ -5693,7 +5693,7 @@ function initCloneByTag(object, tag, isDeep) { case float32Tag: case float64Tag: case int8Tag: case int16Tag: case int32Tag: case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: - return (0,_cloneTypedArray/* default */.Z)(object, isDeep); + return (0,_cloneTypedArray/* default */.c)(object, isDeep); case mapTag: return new Ctor; @@ -5716,13 +5716,13 @@ function initCloneByTag(object, tag, isDeep) { /* harmony default export */ const _initCloneByTag = (initCloneByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules -var _initCloneObject = __webpack_require__(73658); +var _initCloneObject = __webpack_require__(1684); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js @@ -5738,22 +5738,22 @@ var _baseIsMap_mapTag = '[object Map]'; * @returns {boolean} Returns `true` if `value` is a map, else `false`. */ function baseIsMap(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsMap_mapTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; } /* harmony default export */ const _baseIsMap = (baseIsMap); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); // EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js -var _nodeUtil = __webpack_require__(98351); +var _nodeUtil = __webpack_require__(17576); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js /* Node.js helper references. */ -var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; /** * Checks if `value` is classified as a `Map` object. @@ -5772,12 +5772,12 @@ var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; * _.isMap(new WeakMap); * // => false */ -var isMap = nodeIsMap ? (0,_baseUnary/* default */.Z)(nodeIsMap) : _baseIsMap; +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; /* harmony default export */ const lodash_es_isMap = (isMap); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js @@ -5793,7 +5793,7 @@ var _baseIsSet_setTag = '[object Set]'; * @returns {boolean} Returns `true` if `value` is a set, else `false`. */ function baseIsSet(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsSet_setTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; } /* harmony default export */ const _baseIsSet = (baseIsSet); @@ -5804,7 +5804,7 @@ function baseIsSet(value) { /* Node.js helper references. */ -var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; /** * Checks if `value` is classified as a `Set` object. @@ -5823,7 +5823,7 @@ var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; * _.isSet(new WeakSet); * // => false */ -var isSet = nodeIsSet ? (0,_baseUnary/* default */.Z)(nodeIsSet) : _baseIsSet; +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; /* harmony default export */ const lodash_es_isSet = (isSet); @@ -5929,24 +5929,24 @@ function baseClone(value, bitmask, customizer, key, object, stack) { if (result !== undefined) { return result; } - if (!(0,isObject/* default */.Z)(value)) { + if (!(0,isObject/* default */.c)(value)) { return value; } - var isArr = (0,isArray/* default */.Z)(value); + var isArr = (0,isArray/* default */.c)(value); if (isArr) { result = _initCloneArray(value); if (!isDeep) { - return (0,_copyArray/* default */.Z)(value, result); + return (0,_copyArray/* default */.c)(value, result); } } else { - var tag = (0,_getTag/* default */.Z)(value), + var tag = (0,_getTag/* default */.c)(value), isFunc = tag == funcTag || tag == genTag; - if ((0,isBuffer/* default */.Z)(value)) { - return (0,_cloneBuffer/* default */.Z)(value, isDeep); + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); } if (tag == objectTag || tag == argsTag || (isFunc && !object)) { - result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.Z)(value); + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); if (!isDeep) { return isFlat ? _copySymbolsIn(value, _baseAssignIn(result, value)) @@ -5960,7 +5960,7 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } } // Check for circular references and return its corresponding clone. - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); var stacked = stack.get(value); if (stacked) { return stacked; @@ -5978,17 +5978,17 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } var keysFunc = isFull - ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.Z) - : (isFlat ? keysIn/* default */.Z : keys/* default */.Z); + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); var props = isArr ? undefined : keysFunc(value); - (0,_arrayEach/* default */.Z)(props || value, function(subValue, key) { + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { if (props) { key = subValue; subValue = value[key]; } // Recursively populate clone (susceptible to call stack limits). - (0,_assignValue/* default */.Z)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); }); return result; } @@ -5998,19 +5998,19 @@ function baseClone(value, bitmask, customizer, key, object, stack) { /***/ }), -/***/ 49811: +/***/ 92816: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseEach) + c: () => (/* binding */ _baseEach) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js @@ -6027,7 +6027,7 @@ function createBaseEach(eachFunc, fromRight) { if (collection == null) { return collection; } - if (!(0,isArrayLike/* default */.Z)(collection)) { + if (!(0,isArrayLike/* default */.c)(collection)) { return eachFunc(collection, iteratee); } var length = collection.length, @@ -6057,18 +6057,18 @@ function createBaseEach(eachFunc, fromRight) { * @param {Function} iteratee The function invoked per iteration. * @returns {Array|Object} Returns `collection`. */ -var baseEach = _createBaseEach(_baseForOwn/* default */.Z); +var baseEach = _createBaseEach(_baseForOwn/* default */.c); /* harmony default export */ const _baseEach = (baseEach); /***/ }), -/***/ 21692: +/***/ 16428: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.findIndex` and `_.findLastIndex` without @@ -6098,30 +6098,30 @@ function baseFindIndex(array, predicate, fromIndex, fromRight) { /***/ }), -/***/ 10626: +/***/ 40571: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseFlatten) + c: () => (/* binding */ _baseFlatten) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules -var isArguments = __webpack_require__(29169); +var isArguments = __webpack_require__(59636); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js /** Built-in value references. */ -var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatSpreadable : undefined; +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; /** * Checks if `value` is a flattenable `arguments` object or array. @@ -6131,7 +6131,7 @@ var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatS * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { - return (0,isArray/* default */.Z)(value) || (0,isArguments/* default */.Z)(value) || + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } @@ -6166,7 +6166,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { - (0,_arrayPush/* default */.Z)(result, value); + (0,_arrayPush/* default */.c)(result, value); } } else if (!isStrict) { result[result.length] = value; @@ -6180,14 +6180,14 @@ function baseFlatten(array, depth, predicate, isStrict, result) { /***/ }), -/***/ 2693: +/***/ 79985: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(61395); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -6200,7 +6200,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { * @returns {Object} Returns `object`. */ function baseForOwn(object, iteratee) { - return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z); + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); @@ -6208,14 +6208,14 @@ function baseForOwn(object, iteratee) { /***/ }), -/***/ 13317: +/***/ 60604: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -6228,13 +6228,13 @@ function baseForOwn(object, iteratee) { * @returns {*} Returns the resolved value. */ function baseGet(object, path) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = 0, length = path.length; while (object != null && index < length) { - object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index++])]; + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; } return (index && index == length) ? object : undefined; } @@ -6244,14 +6244,14 @@ function baseGet(object, path) { /***/ }), -/***/ 63327: +/***/ 30176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(58694); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -6268,7 +6268,7 @@ function baseGet(object, path) { */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); - return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(result, symbolsFunc(object)); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); @@ -6276,19 +6276,19 @@ function baseGetAllKeys(object, keysFunc, symbolsFunc) { /***/ }), -/***/ 74765: +/***/ 91312: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseIteratee) + c: () => (/* binding */ _baseIteratee) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js /** * A specialized version of `_.some` for arrays without support for iteratee @@ -6315,7 +6315,7 @@ function arraySome(array, predicate) { /* harmony default export */ const _arraySome = (arraySome); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js @@ -6354,7 +6354,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { } var index = -1, result = true, - seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.Z : undefined; + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; stack.set(array, other); stack.set(other, array); @@ -6379,7 +6379,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { // Recursively compare arrays (susceptible to call stack limits). if (seen) { if (!_arraySome(other, function(othValue, othIndex) { - if (!(0,_cacheHas/* default */.Z)(seen, othIndex) && + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { return seen.push(othIndex); } @@ -6403,11 +6403,11 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalArrays = (equalArrays); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js -var _Uint8Array = __webpack_require__(84073); +var _Uint8Array = __webpack_require__(91392); // EXTERNAL MODULE: ./node_modules/lodash-es/eq.js -var eq = __webpack_require__(79651); +var eq = __webpack_require__(73048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js /** * Converts `map` to its key-value pairs. @@ -6429,7 +6429,7 @@ function mapToArray(map) { /* harmony default export */ const _mapToArray = (mapToArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js @@ -6457,7 +6457,7 @@ var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]'; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -6489,7 +6489,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case arrayBufferTag: if ((object.byteLength != other.byteLength) || - !equalFunc(new _Uint8Array/* default */.Z(object), new _Uint8Array/* default */.Z(other))) { + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { return false; } return true; @@ -6499,7 +6499,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case numberTag: // Coerce booleans to `1` or `0` and dates to milliseconds. // Invalid dates are coerced to `NaN`. - return (0,eq/* default */.Z)(+object, +other); + return (0,eq/* default */.c)(+object, +other); case errorTag: return object.name == other.name && object.message == other.message; @@ -6516,7 +6516,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case setTag: var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; - convert || (convert = _setToArray/* default */.Z); + convert || (convert = _setToArray/* default */.c); if (object.size != other.size && !isPartial) { return false; @@ -6545,7 +6545,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalByTag = (equalByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js @@ -6573,9 +6573,9 @@ var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; */ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, - objProps = (0,_getAllKeys/* default */.Z)(object), + objProps = (0,_getAllKeys/* default */.c)(object), objLength = objProps.length, - othProps = (0,_getAllKeys/* default */.Z)(other), + othProps = (0,_getAllKeys/* default */.c)(other), othLength = othProps.length; if (objLength != othLength && !isPartial) { @@ -6639,13 +6639,13 @@ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalObjects = (equalObjects); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules -var isTypedArray = __webpack_require__(18843); +var isTypedArray = __webpack_require__(93416); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js @@ -6685,10 +6685,10 @@ var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnPropert * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. */ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { - var objIsArr = (0,isArray/* default */.Z)(object), - othIsArr = (0,isArray/* default */.Z)(other), - objTag = objIsArr ? arrayTag : (0,_getTag/* default */.Z)(object), - othTag = othIsArr ? arrayTag : (0,_getTag/* default */.Z)(other); + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); objTag = objTag == argsTag ? objectTag : objTag; othTag = othTag == argsTag ? objectTag : othTag; @@ -6697,16 +6697,16 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { othIsObj = othTag == objectTag, isSameTag = objTag == othTag; - if (isSameTag && (0,isBuffer/* default */.Z)(object)) { - if (!(0,isBuffer/* default */.Z)(other)) { + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { return false; } objIsArr = true; objIsObj = false; } if (isSameTag && !objIsObj) { - stack || (stack = new _Stack/* default */.Z); - return (objIsArr || (0,isTypedArray/* default */.Z)(object)) + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); } @@ -6718,21 +6718,21 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other; - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); } } if (!isSameTag) { return false; } - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); } /* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js @@ -6755,7 +6755,7 @@ function baseIsEqual(value, other, bitmask, customizer, stack) { if (value === other) { return true; } - if (value == null || other == null || (!(0,isObjectLike/* default */.Z)(value) && !(0,isObjectLike/* default */.Z)(other))) { + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { return value !== value && other !== other; } return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); @@ -6810,7 +6810,7 @@ function baseIsMatch(object, source, matchData, customizer) { return false; } } else { - var stack = new _Stack/* default */.Z; + var stack = new _Stack/* default */.c; if (customizer) { var result = customizer(objValue, srcValue, key, object, source, stack); } @@ -6828,7 +6828,7 @@ function baseIsMatch(object, source, matchData, customizer) { /* harmony default export */ const _baseIsMatch = (baseIsMatch); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js @@ -6841,13 +6841,13 @@ var isObject = __webpack_require__(77226); * equality comparisons, else `false`. */ function isStrictComparable(value) { - return value === value && !(0,isObject/* default */.Z)(value); + return value === value && !(0,isObject/* default */.c)(value); } /* harmony default export */ const _isStrictComparable = (isStrictComparable); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js @@ -6860,7 +6860,7 @@ var keys = __webpack_require__(17179); * @returns {Array} Returns the match data of `object`. */ function getMatchData(object) { - var result = (0,keys/* default */.Z)(object), + var result = (0,keys/* default */.c)(object), length = result.length; while (length--) { @@ -6921,7 +6921,7 @@ function baseMatches(source) { /* harmony default export */ const _baseMatches = (baseMatches); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); ;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js @@ -6951,18 +6951,18 @@ var _baseGet = __webpack_require__(13317); * // => 'default' */ function get(object, path, defaultValue) { - var result = object == null ? undefined : (0,_baseGet/* default */.Z)(object, path); + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); return result === undefined ? defaultValue : result; } /* harmony default export */ const lodash_es_get = (get); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js @@ -6985,13 +6985,13 @@ var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, * @returns {Function} Returns the new spec function. */ function baseMatchesProperty(path, srcValue) { - if ((0,_isKey/* default */.Z)(path) && _isStrictComparable(srcValue)) { - return _matchesStrictComparable((0,_toKey/* default */.Z)(path), srcValue); + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); } return function(object) { var objValue = lodash_es_get(object, path); return (objValue === undefined && objValue === srcValue) - ? (0,hasIn/* default */.Z)(object, path) + ? (0,hasIn/* default */.c)(object, path) : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); }; } @@ -6999,9 +6999,9 @@ function baseMatchesProperty(path, srcValue) { /* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js @@ -7014,7 +7014,7 @@ var _baseProperty = __webpack_require__(54193); */ function basePropertyDeep(path) { return function(object) { - return (0,_baseGet/* default */.Z)(object, path); + return (0,_baseGet/* default */.c)(object, path); }; } @@ -7049,7 +7049,7 @@ function basePropertyDeep(path) { * // => [1, 2] */ function property(path) { - return (0,_isKey/* default */.Z)(path) ? (0,_baseProperty/* default */.Z)((0,_toKey/* default */.Z)(path)) : _basePropertyDeep(path); + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); } /* harmony default export */ const lodash_es_property = (property); @@ -7075,10 +7075,10 @@ function baseIteratee(value) { return value; } if (value == null) { - return identity/* default */.Z; + return identity/* default */.c; } if (typeof value == 'object') { - return (0,isArray/* default */.Z)(value) + return (0,isArray/* default */.c)(value) ? _baseMatchesProperty(value[0], value[1]) : _baseMatches(value); } @@ -7090,14 +7090,14 @@ function baseIteratee(value) { /***/ }), -/***/ 21018: +/***/ 90360: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(49811); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(92816); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -7111,9 +7111,9 @@ function baseIteratee(value) { */ function baseMap(collection, iteratee) { var index = -1, - result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? Array(collection.length) : []; + result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? Array(collection.length) : []; - (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(collection, function(value, key, collection) { + (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(collection, function(value, key, collection) { result[++index] = iteratee(value, key, collection); }); return result; @@ -7124,11 +7124,11 @@ function baseMap(collection, iteratee) { /***/ }), -/***/ 54193: +/***/ 60472: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.property` without support for deep paths. @@ -7148,11 +7148,11 @@ function baseProperty(key) { /***/ }), -/***/ 59548: +/***/ 5960: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if a `cache` value for `key` exists. @@ -7171,13 +7171,13 @@ function cacheHas(cache, key) { /***/ }), -/***/ 68882: +/***/ 12176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69203); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); /** @@ -7188,7 +7188,7 @@ function cacheHas(cache, key) { * @returns {Function} Returns cast function. */ function castFunction(value) { - return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z; + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); @@ -7196,21 +7196,21 @@ function castFunction(value) { /***/ }), -/***/ 22823: +/***/ 58356: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _castPath) + c: () => (/* binding */ _castPath) }); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js -var memoize = __webpack_require__(42454); +var memoize = __webpack_require__(30528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js @@ -7226,7 +7226,7 @@ var MAX_MEMOIZE_SIZE = 500; * @returns {Function} Returns the new memoized function. */ function memoizeCapped(func) { - var result = (0,memoize/* default */.Z)(func, function(key) { + var result = (0,memoize/* default */.c)(func, function(key) { if (cache.size === MAX_MEMOIZE_SIZE) { cache.clear(); } @@ -7269,7 +7269,7 @@ var stringToPath = _memoizeCapped(function(string) { /* harmony default export */ const _stringToPath = (stringToPath); // EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules -var lodash_es_toString = __webpack_require__(50751); +var lodash_es_toString = __webpack_require__(68019); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js @@ -7285,10 +7285,10 @@ var lodash_es_toString = __webpack_require__(50751); * @returns {Array} Returns the cast property path array. */ function castPath(value, object) { - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { return value; } - return (0,_isKey/* default */.Z)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.Z)(value)); + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); } /* harmony default export */ const _castPath = (castPath); @@ -7296,15 +7296,15 @@ function castPath(value, object) { /***/ }), -/***/ 1808: +/***/ 22980: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(63327); -/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95695); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -7317,7 +7317,7 @@ function castPath(value, object) { * @returns {Array} Returns the array of property names and symbols. */ function getAllKeys(object) { - return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z); + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); @@ -7325,14 +7325,14 @@ function getAllKeys(object) { /***/ }), -/***/ 95695: +/***/ 10772: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(68774); -/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(60532); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); @@ -7352,12 +7352,12 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z : function(object) { +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { if (object == null) { return []; } object = Object(object); - return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(nativeGetSymbols(object), function(symbol) { + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { return propertyIsEnumerable.call(object, symbol); }); }; @@ -7367,18 +7367,18 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ /***/ }), -/***/ 16174: +/***/ 18872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(29169); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27771); -/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(56009); -/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(1656); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -7396,14 +7396,14 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ * @returns {boolean} Returns `true` if `path` exists, else `false`. */ function hasPath(object, path, hasFunc) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = -1, length = path.length, result = false; while (++index < length) { - var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index]); + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); if (!(result = object != null && hasFunc(object, key))) { break; } @@ -7413,8 +7413,8 @@ function hasPath(object, path, hasFunc) { return result; } length = object == null ? 0 : object.length; - return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(key, length) && - ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .Z)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .Z)(object)); + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); @@ -7422,14 +7422,14 @@ function hasPath(object, path, hasFunc) { /***/ }), -/***/ 99365: +/***/ 27544: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72714); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); @@ -7446,12 +7446,12 @@ var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, * @returns {boolean} Returns `true` if `value` is a property name, else `false`. */ function isKey(value, object) { - if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return false; } var type = typeof value; if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value)) { + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { return true; } return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || @@ -7463,11 +7463,11 @@ function isKey(value, object) { /***/ }), -/***/ 6545: +/***/ 68872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Converts `set` to an array of its values. @@ -7491,13 +7491,13 @@ function setToArray(set) { /***/ }), -/***/ 62281: +/***/ 32128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(72714); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); /** Used as references for various `Number` constants. */ @@ -7511,7 +7511,7 @@ var INFINITY = 1 / 0; * @returns {string|symbol} Returns the key. */ function toKey(value) { - if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return value; } var result = (value + ''); @@ -7523,16 +7523,16 @@ function toKey(value) { /***/ }), -/***/ 3688: +/***/ 12804: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69581); -/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(79651); -/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(50439); -/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32957); +/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(34880); +/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(73048); +/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(15552); +/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(97000); @@ -7565,20 +7565,20 @@ var hasOwnProperty = objectProto.hasOwnProperty; * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 }); * // => { 'a': 1, 'b': 2 } */ -var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(function(object, sources) { +var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(function(object, sources) { object = Object(object); var index = -1; var length = sources.length; var guard = length > 2 ? sources[2] : undefined; - if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(sources[0], sources[1], guard)) { + if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(sources[0], sources[1], guard)) { length = 1; } while (++index < length) { var source = sources[index]; - var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(source); + var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(source); var propsIndex = -1; var propsLength = props.length; @@ -7587,7 +7587,7 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) var value = object[key]; if (value === undefined || - ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { + ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { object[key] = source[key]; } } @@ -7601,19 +7601,19 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) /***/ }), -/***/ 13445: +/***/ 55720: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_filter) + c: () => (/* binding */ lodash_es_filter) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js -var _arrayFilter = __webpack_require__(68774); +var _arrayFilter = __webpack_require__(46091); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js @@ -7627,7 +7627,7 @@ var _baseEach = __webpack_require__(49811); */ function baseFilter(collection, predicate) { var result = []; - (0,_baseEach/* default */.Z)(collection, function(value, index, collection) { + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { if (predicate(value, index, collection)) { result.push(value); } @@ -7638,9 +7638,9 @@ function baseFilter(collection, predicate) { /* harmony default export */ const _baseFilter = (baseFilter); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js @@ -7689,8 +7689,8 @@ var isArray = __webpack_require__(27771); * // => objects for ['fred', 'barney'] */ function filter(collection, predicate) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayFilter/* default */.Z : _baseFilter; - return func(collection, (0,_baseIteratee/* default */.Z)(predicate, 3)); + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); } /* harmony default export */ const lodash_es_filter = (filter); @@ -7698,13 +7698,13 @@ function filter(collection, predicate) { /***/ }), -/***/ 27961: +/***/ 9552: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(10626); +/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(40571); /** @@ -7723,7 +7723,7 @@ function filter(collection, predicate) { */ function flatten(array) { var length = array == null ? 0 : array.length; - return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(array, 1) : []; + return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(array, 1) : []; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (flatten); @@ -7731,16 +7731,16 @@ function flatten(array) { /***/ }), -/***/ 70870: +/***/ 50080: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(76579); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(49811); -/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(68882); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -7777,8 +7777,8 @@ function flatten(array) { * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forEach(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); @@ -7786,13 +7786,13 @@ function forEach(collection, iteratee) { /***/ }), -/***/ 17452: +/***/ 7248: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_has) + c: () => (/* binding */ lodash_es_has) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js @@ -7817,7 +7817,7 @@ function baseHas(object, key) { /* harmony default export */ const _baseHas = (baseHas); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js @@ -7850,7 +7850,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function has(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHas); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); } /* harmony default export */ const lodash_es_has = (has); @@ -7858,13 +7858,13 @@ function has(object, path) { /***/ }), -/***/ 75487: +/***/ 73556: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_hasIn) + c: () => (/* binding */ lodash_es_hasIn) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js @@ -7883,7 +7883,7 @@ function baseHasIn(object, key) { /* harmony default export */ const _baseHasIn = (baseHasIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js @@ -7915,7 +7915,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function hasIn(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHasIn); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); } /* harmony default export */ const lodash_es_hasIn = (hasIn); @@ -7923,14 +7923,14 @@ function hasIn(object, path) { /***/ }), -/***/ 72714: +/***/ 46380: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(93589); -/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(18533); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); @@ -7956,7 +7956,7 @@ var symbolTag = '[object Symbol]'; */ function isSymbol(value) { return typeof value == 'symbol' || - ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value) == symbolTag); + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); @@ -7964,11 +7964,11 @@ function isSymbol(value) { /***/ }), -/***/ 49360: +/***/ 60372: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if `value` is `undefined`. @@ -7996,15 +7996,15 @@ function isUndefined(value) { /***/ }), -/***/ 17179: +/***/ 62420: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(87668); -/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(39473); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -8038,7 +8038,7 @@ function isUndefined(value) { * // => ['0', '1'] */ function keys(object) { - return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(object); + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); @@ -8046,16 +8046,16 @@ function keys(object) { /***/ }), -/***/ 43836: +/***/ 92696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(74073); -/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(74765); -/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(21018); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(1304); +/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(91312); +/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(90360); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8104,8 +8104,8 @@ function keys(object) { * // => ['barney', 'fred'] */ function map(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee, 3)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee, 3)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (map); @@ -8113,27 +8113,27 @@ function map(collection, iteratee) { /***/ }), -/***/ 61666: +/***/ 95108: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_pick) + c: () => (/* binding */ lodash_es_pick) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_castPath.js + 2 modules -var _castPath = __webpack_require__(22823); +var _castPath = __webpack_require__(58356); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIndex.js -var _isIndex = __webpack_require__(56009); +var _isIndex = __webpack_require__(748); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSet.js @@ -8152,10 +8152,10 @@ var _toKey = __webpack_require__(62281); * @returns {Object} Returns `object`. */ function baseSet(object, path, value, customizer) { - if (!(0,isObject/* default */.Z)(object)) { + if (!(0,isObject/* default */.c)(object)) { return object; } - path = (0,_castPath/* default */.Z)(path, object); + path = (0,_castPath/* default */.c)(path, object); var index = -1, length = path.length, @@ -8163,7 +8163,7 @@ function baseSet(object, path, value, customizer) { nested = object; while (nested != null && ++index < length) { - var key = (0,_toKey/* default */.Z)(path[index]), + var key = (0,_toKey/* default */.c)(path[index]), newValue = value; if (key === '__proto__' || key === 'constructor' || key === 'prototype') { @@ -8174,12 +8174,12 @@ function baseSet(object, path, value, customizer) { var objValue = nested[key]; newValue = customizer ? customizer(objValue, key, nested) : undefined; if (newValue === undefined) { - newValue = (0,isObject/* default */.Z)(objValue) + newValue = (0,isObject/* default */.c)(objValue) ? objValue - : ((0,_isIndex/* default */.Z)(path[index + 1]) ? [] : {}); + : ((0,_isIndex/* default */.c)(path[index + 1]) ? [] : {}); } } - (0,_assignValue/* default */.Z)(nested, key, newValue); + (0,_assignValue/* default */.c)(nested, key, newValue); nested = nested[key]; } return object; @@ -8208,10 +8208,10 @@ function basePickBy(object, paths, predicate) { while (++index < length) { var path = paths[index], - value = (0,_baseGet/* default */.Z)(object, path); + value = (0,_baseGet/* default */.c)(object, path); if (predicate(value, path)) { - _baseSet(result, (0,_castPath/* default */.Z)(path, object), value); + _baseSet(result, (0,_castPath/* default */.c)(path, object), value); } } return result; @@ -8220,7 +8220,7 @@ function basePickBy(object, paths, predicate) { /* harmony default export */ const _basePickBy = (basePickBy); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePick.js @@ -8236,18 +8236,18 @@ var hasIn = __webpack_require__(75487); */ function basePick(object, paths) { return _basePickBy(object, paths, function(value, path) { - return (0,hasIn/* default */.Z)(object, path); + return (0,hasIn/* default */.c)(object, path); }); } /* harmony default export */ const _basePick = (basePick); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/_overRest.js + 1 modules -var _overRest = __webpack_require__(81211); +var _overRest = __webpack_require__(10648); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToString.js + 2 modules -var _setToString = __webpack_require__(27227); +var _setToString = __webpack_require__(99669); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_flatRest.js @@ -8261,7 +8261,7 @@ var _setToString = __webpack_require__(27227); * @returns {Function} Returns the new function. */ function flatRest(func) { - return (0,_setToString/* default */.Z)((0,_overRest/* default */.Z)(func, undefined, flatten/* default */.Z), func + ''); + return (0,_setToString/* default */.c)((0,_overRest/* default */.c)(func, undefined, flatten/* default */.c), func + ''); } /* harmony default export */ const _flatRest = (flatRest); @@ -8296,13 +8296,13 @@ var pick = _flatRest(function(object, paths) { /***/ }), -/***/ 74379: +/***/ 52264: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_range) + c: () => (/* binding */ lodash_es_range) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseRange.js @@ -8336,9 +8336,9 @@ function baseRange(start, end, step, fromRight) { /* harmony default export */ const _baseRange = (baseRange); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createRange.js @@ -8353,18 +8353,18 @@ var toFinite = __webpack_require__(94099); */ function createRange(fromRight) { return function(start, end, step) { - if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.Z)(start, end, step)) { + if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.c)(start, end, step)) { end = step = undefined; } // Ensure the sign of `-0` is preserved. - start = (0,toFinite/* default */.Z)(start); + start = (0,toFinite/* default */.c)(start); if (end === undefined) { end = start; start = 0; } else { - end = (0,toFinite/* default */.Z)(end); + end = (0,toFinite/* default */.c)(end); } - step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.Z)(step); + step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.c)(step); return _baseRange(start, end, step, fromRight); }; } @@ -8422,13 +8422,13 @@ var range = _createRange(); /***/ }), -/***/ 92344: +/***/ 90460: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_reduce) + c: () => (/* binding */ lodash_es_reduce) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js @@ -8460,9 +8460,9 @@ function arrayReduce(array, iteratee, accumulator, initAccum) { /* harmony default export */ const _arrayReduce = (arrayReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js /** * The base implementation of `_.reduce` and `_.reduceRight`, without support @@ -8489,7 +8489,7 @@ function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { /* harmony default export */ const _baseReduce = (baseReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js @@ -8535,10 +8535,10 @@ var isArray = __webpack_require__(27771); * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) */ function reduce(collection, iteratee, accumulator) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayReduce : _baseReduce, + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, initAccum = arguments.length < 3; - return func(collection, (0,_baseIteratee/* default */.Z)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.Z); + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); } /* harmony default export */ const lodash_es_reduce = (reduce); @@ -8546,11 +8546,11 @@ function reduce(collection, iteratee, accumulator) { /***/ }), -/***/ 60532: +/***/ 41716: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * This method returns a new empty array. @@ -8579,13 +8579,13 @@ function stubArray() { /***/ }), -/***/ 94099: +/***/ 92400: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toFinite) + c: () => (/* binding */ lodash_es_toFinite) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_trimmedEndIndex.js @@ -8631,9 +8631,9 @@ function baseTrim(string) { /* harmony default export */ const _baseTrim = (baseTrim); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toNumber.js @@ -8681,12 +8681,12 @@ function toNumber(value) { if (typeof value == 'number') { return value; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return NAN; } - if ((0,isObject/* default */.Z)(value)) { + if ((0,isObject/* default */.c)(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = (0,isObject/* default */.Z)(other) ? (other + '') : other; + value = (0,isObject/* default */.c)(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; @@ -8747,23 +8747,23 @@ function toFinite(value) { /***/ }), -/***/ 50751: +/***/ 68019: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toString) + c: () => (/* binding */ lodash_es_toString) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js @@ -8774,7 +8774,7 @@ var isSymbol = __webpack_require__(72714); var INFINITY = 1 / 0; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolToString = symbolProto ? symbolProto.toString : undefined; /** @@ -8790,11 +8790,11 @@ function baseToString(value) { if (typeof value == 'string') { return value; } - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { // Recursively convert values (susceptible to call stack limits). - return (0,_arrayMap/* default */.Z)(value, baseToString) + ''; + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return symbolToString ? symbolToString.call(value) : ''; } var result = (value + ''); @@ -8836,13 +8836,13 @@ function toString_toString(value) { /***/ }), -/***/ 66749: +/***/ 41696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50751); +/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(68019); /** Used to generate unique IDs. */ @@ -8867,7 +8867,7 @@ var idCounter = 0; */ function uniqueId(prefix) { var id = ++idCounter; - return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(prefix) + id; + return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(prefix) + id; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (uniqueId); @@ -8875,17 +8875,17 @@ function uniqueId(prefix) { /***/ }), -/***/ 34148: +/***/ 36: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_values) + c: () => (/* binding */ lodash_es_values) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js @@ -8900,7 +8900,7 @@ var _arrayMap = __webpack_require__(74073); * @returns {Object} Returns the array of property values. */ function baseValues(object, props) { - return (0,_arrayMap/* default */.Z)(props, function(key) { + return (0,_arrayMap/* default */.c)(props, function(key) { return object[key]; }); } @@ -8908,7 +8908,7 @@ function baseValues(object, props) { /* harmony default export */ const _baseValues = (baseValues); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js @@ -8940,7 +8940,7 @@ var keys = __webpack_require__(17179); * // => ['h', 'i'] */ function values(object) { - return object == null ? [] : _baseValues(object, (0,keys/* default */.Z)(object)); + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); } /* harmony default export */ const lodash_es_values = (values); @@ -8948,20 +8948,20 @@ function values(object) { /***/ }), -/***/ 35364: +/***/ 36440: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(42924); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(45625); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(24743); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(22424); +/* harmony import */ var _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(73448); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95536); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79010); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(57776); @@ -8994,11 +8994,11 @@ const drawEdge = function(elem, path, relation, conf, diagObj) { }; path.points = path.points.filter((p) => !Number.isNaN(p.y)); const lineData = path.points; - const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(function(d) { + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(function(d) { return d.x; }).y(function(d) { return d.y; - }).curve(d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .$0Z); + }).curve(d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .k7); const svgPath = elem.append("path").attr("d", lineFunction(lineData)).attr("id", "edge" + edgeCount).attr("class", "relation"); let url = ""; if (conf.arrowMarkerAbsolute) { @@ -9026,24 +9026,24 @@ const drawEdge = function(elem, path, relation, conf, diagObj) { } let x, y; const l = path.points.length; - let labelPosition = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.u.calcLabelPosition(path.points); + let labelPosition = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.u.calcLabelPosition(path.points); x = labelPosition.x; y = labelPosition.y; let p1_card_x, p1_card_y; let p2_card_x, p2_card_y; if (l % 2 !== 0 && l > 1) { - let cardinality_1_point = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.u.calcCardinalityPosition( + let cardinality_1_point = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.u.calcCardinalityPosition( relation.relation.type1 !== "none", path.points, path.points[0] ); - let cardinality_2_point = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.u.calcCardinalityPosition( + let cardinality_2_point = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.u.calcCardinalityPosition( relation.relation.type2 !== "none", path.points, path.points[l - 1] ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("cardinality_1_point " + JSON.stringify(cardinality_1_point)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("cardinality_2_point " + JSON.stringify(cardinality_2_point)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("cardinality_1_point " + JSON.stringify(cardinality_1_point)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("cardinality_2_point " + JSON.stringify(cardinality_2_point)); p1_card_x = cardinality_1_point.x; p1_card_y = cardinality_1_point.y; p2_card_x = cardinality_2_point.x; @@ -9056,7 +9056,7 @@ const drawEdge = function(elem, path, relation, conf, diagObj) { const bounds = label.node().getBBox(); g.insert("rect", ":first-child").attr("class", "box").attr("x", bounds.x - conf.padding / 2).attr("y", bounds.y - conf.padding / 2).attr("width", bounds.width + conf.padding).attr("height", bounds.height + conf.padding); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Rendering relation " + JSON.stringify(relation)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Rendering relation " + JSON.stringify(relation)); if (relation.relationTitle1 !== void 0 && relation.relationTitle1 !== "none") { const g = elem.append("g").attr("class", "cardinality"); g.append("text").attr("class", "type1").attr("x", p1_card_x).attr("y", p1_card_y).attr("fill", "black").attr("font-size", "6").text(relation.relationTitle1); @@ -9068,7 +9068,7 @@ const drawEdge = function(elem, path, relation, conf, diagObj) { edgeCount++; }; const drawClass = function(elem, classDef, conf, diagObj) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Rendering class ", classDef, conf); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Rendering class ", classDef, conf); const id = classDef.id; const classInfo = { id, @@ -9145,12 +9145,12 @@ const drawClass = function(elem, classDef, conf, diagObj) { const getClassTitleString = function(classDef) { let classTitleString = classDef.id; if (classDef.type) { - classTitleString += "<" + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.v)(classDef.type) + ">"; + classTitleString += "<" + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.v)(classDef.type) + ">"; } return classTitleString; }; const drawNote = function(elem, note, conf, diagObj) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Rendering note ", note, conf); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Rendering note ", note, conf); const id = note.id; const noteInfo = { id, @@ -9162,7 +9162,7 @@ const drawNote = function(elem, note, conf, diagObj) { let text = g.append("text").attr("y", conf.textHeight + conf.padding).attr("x", 0); const lines = JSON.parse(`"${note.text}"`).split("\n"); lines.forEach(function(line2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug(`Adding line: ${line2}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug(`Adding line: ${line2}`); text.append("tspan").text(line2).attr("class", "title").attr("dy", conf.textHeight); }); const noteBox = g.node().getBBox(); @@ -9213,18 +9213,18 @@ const insertMarkers = function(elem) { elem.append("defs").append("marker").attr("id", "dependencyEnd").attr("refX", 19).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 18,7 L9,13 L14,7 L9,1 Z"); }; const draw = function(text, id, _version, diagObj) { - const conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().class; + const conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().class; idCache = {}; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Rendering diagram " + text); - const securityLevel = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().securityLevel; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Rendering diagram " + text); + const securityLevel = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); const diagram2 = root.select(`[id='${id}']`); insertMarkers(diagram2); - const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .k({ + const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .M({ multigraph: true }); g.setGraph({ @@ -9240,11 +9240,11 @@ const draw = function(text, id, _version, diagObj) { const node = svgDraw.drawClass(diagram2, classDef, conf, diagObj); idCache[node.id] = node; g.setNode(node.id, node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Org height: " + node.height); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Org height: " + node.height); } const relations = diagObj.db.getRelations(); relations.forEach(function(relation) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info( "tjoho" + getGraphId(relation.id1) + getGraphId(relation.id2) + JSON.stringify(relation) ); g.setEdge( @@ -9258,7 +9258,7 @@ const draw = function(text, id, _version, diagObj) { }); const notes = diagObj.db.getNotes(); notes.forEach(function(note) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug(`Adding note: ${JSON.stringify(note)}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug(`Adding note: ${JSON.stringify(note)}`); const node = svgDraw.drawNote(diagram2, note, conf, diagObj); idCache[node.id] = node; g.setNode(node.id, node); @@ -9281,10 +9281,10 @@ const draw = function(text, id, _version, diagObj) { ); } }); - (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__/* .layout */ .bK)(g); + (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__/* .layout */ .cn)(g); g.nodes().forEach(function(v) { if (v !== void 0 && g.node(v) !== void 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Node " + v + ": " + JSON.stringify(g.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Node " + v + ": " + JSON.stringify(g.node(v))); root.select("#" + (diagObj.db.lookUpDomId(v) || v)).attr( "transform", "translate(" + (g.node(v).x - g.node(v).width / 2) + "," + (g.node(v).y - g.node(v).height / 2) + " )" @@ -9293,32 +9293,32 @@ const draw = function(text, id, _version, diagObj) { }); g.edges().forEach(function(e) { if (e !== void 0 && g.edge(e) !== void 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(g.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(g.edge(e))); svgDraw.drawEdge(diagram2, g.edge(e), g.edge(e).relation, conf, diagObj); } }); const svgBounds = diagram2.node().getBBox(); const width = svgBounds.width + padding * 2; const height = svgBounds.height + padding * 2; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.i)(diagram2, height, width, conf.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.i)(diagram2, height, width, conf.useMaxWidth); const vBox = `${svgBounds.x - padding} ${svgBounds.y - padding} ${width} ${height}`; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug(`viewBox ${vBox}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug(`viewBox ${vBox}`); diagram2.attr("viewBox", vBox); }; const renderer = { draw }; const diagram = { - parser: _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_7__.p, - db: _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_7__.d, + parser: _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_7__.p, + db: _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_7__.d, renderer, - styles: _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_7__.s, + styles: _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_7__.s, init: (cnf) => { if (!cnf.class) { cnf.class = {}; } cnf.class.arrowMarkerAbsolute = cnf.arrowMarkerAbsolute; - _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_7__.d.clear(); + _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_7__.d.clear(); } }; @@ -9326,7 +9326,7 @@ const diagram = { /***/ }), -/***/ 42924: +/***/ 73448: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -9334,8 +9334,8 @@ const diagram = { /* harmony export */ p: () => (/* binding */ parser$1), /* harmony export */ s: () => (/* binding */ styles) /* harmony export */ }); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); var parser = function() { @@ -10249,15 +10249,15 @@ class ClassMember { this.memberType = memberType; this.visibility = ""; this.classifier = ""; - const sanitizedInput = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)(input, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const sanitizedInput = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)(input, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); this.parseMember(sanitizedInput); } getDisplayDetails() { - let displayText = this.visibility + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.id); + let displayText = this.visibility + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.id); if (this.memberType === "method") { - displayText += `(${(0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.parameters.trim())})`; + displayText += `(${(0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.parameters.trim())})`; if (this.returnType) { - displayText += " : " + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.returnType); + displayText += " : " + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.returnType); } } displayText = displayText.trim(); @@ -10325,9 +10325,9 @@ let classCounter = 0; let namespaces = {}; let namespaceCounter = 0; let functions = []; -const sanitizeText = (txt) => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); +const sanitizeText = (txt) => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); const splitClassNameAndType = function(_id) { - const id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); let genericType = ""; let className = id; if (id.indexOf("~") > 0) { @@ -10338,7 +10338,7 @@ const splitClassNameAndType = function(_id) { return { className, type: genericType }; }; const setClassLabel = function(_id, label) { - const id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); if (label) { label = sanitizeText(label); } @@ -10346,12 +10346,12 @@ const setClassLabel = function(_id, label) { classes[className].label = label; }; const addClass = function(_id) { - const id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); const { className, type } = splitClassNameAndType(id); if (Object.hasOwn(classes, className)) { return; } - const name = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(className, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const name = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(className, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); classes[name] = { id: name, type, @@ -10366,7 +10366,7 @@ const addClass = function(_id) { classCounter++; }; const lookUpDomId = function(_id) { - const id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); if (id in classes) { return classes[id].domId; } @@ -10380,7 +10380,7 @@ const clear = function() { functions.push(setupToolTips); namespaces = {}; namespaceCounter = 0; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.t)(); }; const getClass = function(id) { return classes[id]; @@ -10395,13 +10395,13 @@ const getNotes = function() { return notes; }; const addRelation = function(relation) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Adding relation: " + JSON.stringify(relation)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Adding relation: " + JSON.stringify(relation)); addClass(relation.id1); addClass(relation.id2); relation.id1 = splitClassNameAndType(relation.id1).className; relation.id2 = splitClassNameAndType(relation.id2).className; - relation.relationTitle1 = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(relation.relationTitle1.trim(), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); - relation.relationTitle2 = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(relation.relationTitle2.trim(), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + relation.relationTitle1 = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(relation.relationTitle1.trim(), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + relation.relationTitle2 = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(relation.relationTitle2.trim(), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); relations.push(relation); }; const addAnnotation = function(className, annotation) { @@ -10468,14 +10468,14 @@ const getTooltip = function(id, namespace) { return classes[id].tooltip; }; const setLink = function(ids, linkStr, target) { - const config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); ids.split(",").forEach(function(_id) { let id = _id; if (_id[0].match(/\d/)) { id = MERMAID_DOM_ID_PREFIX + id; } if (classes[id] !== void 0) { - classes[id].link = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); + classes[id].link = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); if (config.securityLevel === "sandbox") { classes[id].linkTarget = "_top"; } else if (typeof target === "string") { @@ -10495,8 +10495,8 @@ const setClickEvent = function(ids, functionName, functionArgs) { setCssClass(ids, "clickable"); }; const setClickFunc = function(_domId, functionName, functionArgs) { - const domId = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_domId, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); - const config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const domId = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_domId, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); if (config.securityLevel !== "loose") { return; } @@ -10526,7 +10526,7 @@ const setClickFunc = function(_domId, functionName, functionArgs) { elem.addEventListener( "click", function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); }, false ); @@ -10551,14 +10551,14 @@ const relationType = { LOLLIPOP: 4 }; const setupToolTips = function(element) { - let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(".mermaidTooltip"); + let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(".mermaidTooltip"); if ((tooltipElem._groups || tooltipElem)[0][0] === null) { - tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); + tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); } - const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(element).select("svg"); + const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(element).select("svg"); const nodes = svg.selectAll("g.node"); nodes.on("mouseover", function() { - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); const title = el.attr("title"); if (title === null) { return; @@ -10570,7 +10570,7 @@ const setupToolTips = function(element) { el.classed("hover", true); }).on("mouseout", function() { tooltipElem.transition().duration(500).style("opacity", 0); - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); el.classed("hover", false); }); }; @@ -10622,11 +10622,11 @@ const setCssStyle = function(id, styles2) { } }; const db = { - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.g, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.b, - getConfig: () => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().class, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.g, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.b, + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().class, addClass, bindFunctions, clear, @@ -10650,8 +10650,8 @@ const db = { getTooltip, setTooltip, lookUpDomId, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.r, + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.r, setClassLabel, addNamespace, addClassesToNamespace, diff --git a/assets/js/950.9d5ad4d5.js b/assets/js/448.253d46a3.js similarity index 94% rename from assets/js/950.9d5ad4d5.js rename to assets/js/448.253d46a3.js index 1870d0f5a..33ad0533d 100644 --- a/assets/js/950.9d5ad4d5.js +++ b/assets/js/448.253d46a3.js @@ -1,19 +1,19 @@ "use strict"; -exports.id = 950; -exports.ids = [950]; +exports.id = 448; +exports.ids = [448]; exports.modules = { -/***/ 42950: +/***/ 21448: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(22424); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(57776); @@ -561,7 +561,7 @@ var parser = function() { }(); parser.parser = parser; const parser$1 = parser; -const DEFAULT_PIE_CONFIG = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.pie; +const DEFAULT_PIE_CONFIG = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.pie; const DEFAULT_PIE_DB = { sections: {}, showData: false, @@ -574,13 +574,13 @@ const getConfig = () => structuredClone(config); const clear = () => { sections = structuredClone(DEFAULT_PIE_DB.sections); showData = DEFAULT_PIE_DB.showData; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.t)(); }; const addSection = (label, value) => { - label = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.d)(label, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + label = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.d)(label, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); if (sections[label] === void 0) { sections[label] = value; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`added new section: ${label}, with value: ${value}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`added new section: ${label}, with value: ${value}`); } }; const getSections = () => sections; @@ -597,12 +597,12 @@ const getShowData = () => showData; const db = { getConfig, clear, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.r, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.g, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.b, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.a, + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.r, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.g, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.b, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.a, addSection, getSections, cleanupValue, @@ -648,32 +648,32 @@ const createPieArcs = (sections2) => { }).sort((a, b) => { return b.value - a.value; }); - const pie$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .pie */ .ve8)().value( + const pie$1 = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .pie */ ._gT)().value( (d3Section) => d3Section.value ); return pie$1(pieData); }; const draw = (text, id, _version, diagObj) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("rendering pie chart\n" + text); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("rendering pie chart\n" + text); const db2 = diagObj.db; - const globalConfig = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)(); - const pieConfig = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.B)(db2.getConfig(), globalConfig.pie); + const globalConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + const pieConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.B)(db2.getConfig(), globalConfig.pie); const MARGIN = 40; const LEGEND_RECT_SIZE = 18; const LEGEND_SPACING = 4; const height = 450; const pieWidth = height; - const svg = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.z)(id); + const svg = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.z)(id); const group = svg.append("g"); const sections2 = db2.getSections(); group.attr("transform", "translate(" + pieWidth / 2 + "," + height / 2 + ")"); const { themeVariables } = globalConfig; - let [outerStrokeWidth] = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.C)(themeVariables.pieOuterStrokeWidth); + let [outerStrokeWidth] = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.C)(themeVariables.pieOuterStrokeWidth); outerStrokeWidth ?? (outerStrokeWidth = 2); const textPosition = pieConfig.textPosition; const radius = Math.min(pieWidth, height) / 2 - MARGIN; - const arcGenerator = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .Nb1)().innerRadius(0).outerRadius(radius); - const labelArcGenerator = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .Nb1)().innerRadius(radius * textPosition).outerRadius(radius * textPosition); + const arcGenerator = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .qoN)().innerRadius(0).outerRadius(radius); + const labelArcGenerator = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .arc */ .qoN)().innerRadius(radius * textPosition).outerRadius(radius * textPosition); group.append("circle").attr("cx", 0).attr("cy", 0).attr("r", radius + outerStrokeWidth / 2).attr("class", "pieOuterCircle"); const arcs = createPieArcs(sections2); const myGeneratedColors = [ @@ -690,7 +690,7 @@ const draw = (text, id, _version, diagObj) => { themeVariables.pie11, themeVariables.pie12 ]; - const color = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleOrdinal */ .PKp)(myGeneratedColors); + const color = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleOrdinal */ .knW)(myGeneratedColors); group.selectAll("mySlices").data(arcs).enter().append("path").attr("d", arcGenerator).attr("fill", (datum) => { return color(datum.data.label); }).attr("class", "pieCircle"); @@ -724,7 +724,7 @@ const draw = (text, id, _version, diagObj) => { ); const totalWidth = pieWidth + MARGIN + LEGEND_RECT_SIZE + LEGEND_SPACING + longestTextWidth; svg.attr("viewBox", `0 0 ${totalWidth} ${height}`); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.i)(svg, height, totalWidth, pieConfig.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.i)(svg, height, totalWidth, pieConfig.useMaxWidth); }; const renderer = { draw }; const diagram = { diff --git a/assets/js/277.4d6a67c1.js b/assets/js/452.7f75a68c.js similarity index 86% rename from assets/js/277.4d6a67c1.js rename to assets/js/452.7f75a68c.js index b66c80ac4..494797711 100644 --- a/assets/js/277.4d6a67c1.js +++ b/assets/js/452.7f75a68c.js @@ -1,35 +1,35 @@ "use strict"; -exports.id = 277; -exports.ids = [277]; +exports.id = 452; +exports.ids = [452]; exports.modules = { -/***/ 41644: +/***/ 32304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - bK: () => (/* reexport */ layout) + cn: () => (/* reexport */ layout) }); // UNUSED EXPORTS: acyclic, normalize, rank // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/uniqueId.js -var uniqueId = __webpack_require__(66749); +var uniqueId = __webpack_require__(41696); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); +var map = __webpack_require__(92696); // EXTERNAL MODULE: ./node_modules/lodash-es/range.js + 2 modules -var range = __webpack_require__(74379); +var range = __webpack_require__(52264); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); +var graphlib = __webpack_require__(95536); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/data/list.js /* * Simple doubly linked list implementation derived from Cormen, et al., @@ -101,7 +101,7 @@ function filterOutLinks(k, v) { */ -var DEFAULT_WEIGHT_FN = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FN = constant/* default */.c(1); function greedyFAS(g, weightFn) { if (g.nodeCount() <= 1) { @@ -111,8 +111,8 @@ function greedyFAS(g, weightFn) { var results = doGreedyFAS(state.graph, state.buckets, state.zeroIdx); // Expand multi-edges - return flatten/* default */.Z( - map/* default */.Z(results, function (e) { + return flatten/* default */.c( + map/* default */.c(results, function (e) { return g.outEdges(e.v, e.w); }) ); @@ -148,7 +148,7 @@ function doGreedyFAS(g, buckets, zeroIdx) { function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { var results = collectPredecessors ? [] : undefined; - forEach/* default */.Z(g.inEdges(entry.v), function (edge) { + forEach/* default */.c(g.inEdges(entry.v), function (edge) { var weight = g.edge(edge); var uEntry = g.node(edge.v); @@ -160,7 +160,7 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { assignBucket(buckets, zeroIdx, uEntry); }); - forEach/* default */.Z(g.outEdges(entry.v), function (edge) { + forEach/* default */.c(g.outEdges(entry.v), function (edge) { var weight = g.edge(edge); var w = edge.w; var wEntry = g.node(w); @@ -174,17 +174,17 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { } function buildState(g, weightFn) { - var fasGraph = new graphlib/* Graph */.k(); + var fasGraph = new graphlib/* Graph */.M(); var maxIn = 0; var maxOut = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { fasGraph.setNode(v, { v: v, in: 0, out: 0 }); }); // Aggregate weights on nodes, but also sum the weights across multi-edges // into a single edge for the fasGraph. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var prevWeight = fasGraph.edge(e.v, e.w) || 0; var weight = weightFn(e); var edgeWeight = prevWeight + weight; @@ -193,12 +193,12 @@ function buildState(g, weightFn) { maxIn = Math.max(maxIn, (fasGraph.node(e.w)['in'] += weight)); }); - var buckets = range/* default */.Z(maxOut + maxIn + 3).map(function () { + var buckets = range/* default */.c(maxOut + maxIn + 3).map(function () { return new List(); }); var zeroIdx = maxIn + 1; - forEach/* default */.Z(fasGraph.nodes(), function (v) { + forEach/* default */.c(fasGraph.nodes(), function (v) { assignBucket(buckets, zeroIdx, fasGraph.node(v)); }); @@ -223,12 +223,12 @@ function assignBucket(buckets, zeroIdx, entry) { function run(g) { var fas = g.graph().acyclicer === 'greedy' ? greedyFAS(g, weightFn(g)) : dfsFAS(g); - forEach/* default */.Z(fas, function (e) { + forEach/* default */.c(fas, function (e) { var label = g.edge(e); g.removeEdge(e); label.forwardName = e.name; label.reversed = true; - g.setEdge(e.w, e.v, label, uniqueId/* default */.Z('rev')); + g.setEdge(e.w, e.v, label, uniqueId/* default */.c('rev')); }); function weightFn(g) { @@ -244,13 +244,13 @@ function dfsFAS(g) { var visited = {}; function dfs(v) { - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return; } visited[v] = true; stack[v] = true; - forEach/* default */.Z(g.outEdges(v), function (e) { - if (has/* default */.Z(stack, e.w)) { + forEach/* default */.c(g.outEdges(v), function (e) { + if (has/* default */.c(stack, e.w)) { fas.push(e); } else { dfs(e.w); @@ -259,12 +259,12 @@ function dfsFAS(g) { delete stack[v]; } - forEach/* default */.Z(g.nodes(), dfs); + forEach/* default */.c(g.nodes(), dfs); return fas; } function undo(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var label = g.edge(e); if (label.reversed) { g.removeEdge(e); @@ -278,13 +278,13 @@ function undo(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/merge.js + 6 modules -var merge = __webpack_require__(59236); +var merge = __webpack_require__(89064); // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseExtremum.js @@ -307,7 +307,7 @@ function baseExtremum(array, iteratee, comparator) { current = iteratee(value); if (current != null && (computed === undefined - ? (current === current && !(0,isSymbol/* default */.Z)(current)) + ? (current === current && !(0,isSymbol/* default */.c)(current)) : comparator(current, computed) )) { var computed = current, @@ -336,7 +336,7 @@ function baseGt(value, other) { /* harmony default export */ const _baseGt = (baseGt); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/max.js @@ -362,7 +362,7 @@ var identity = __webpack_require__(69203); */ function max(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseGt) + ? _baseExtremum(array, identity/* default */.c, _baseGt) : undefined; } @@ -391,11 +391,11 @@ function last(array) { /* harmony default export */ const lodash_es_last = (last); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseAssignValue.js -var _baseAssignValue = __webpack_require__(74752); +var _baseAssignValue = __webpack_require__(78848); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/mapValues.js @@ -431,10 +431,10 @@ var _baseIteratee = __webpack_require__(74765); */ function mapValues(object, iteratee) { var result = {}; - iteratee = (0,_baseIteratee/* default */.Z)(iteratee, 3); + iteratee = (0,_baseIteratee/* default */.c)(iteratee, 3); - (0,_baseForOwn/* default */.Z)(object, function(value, key, object) { - (0,_baseAssignValue/* default */.Z)(result, key, iteratee(value, key, object)); + (0,_baseForOwn/* default */.c)(object, function(value, key, object) { + (0,_baseAssignValue/* default */.c)(result, key, iteratee(value, key, object)); }); return result; } @@ -442,7 +442,7 @@ function mapValues(object, iteratee) { /* harmony default export */ const lodash_es_mapValues = (mapValues); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseLt.js /** * The base implementation of `_.lt` which doesn't coerce arguments. @@ -484,14 +484,14 @@ function baseLt(value, other) { */ function min(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseLt) + ? _baseExtremum(array, identity/* default */.c, _baseLt) : undefined; } /* harmony default export */ const lodash_es_min = (min); // EXTERNAL MODULE: ./node_modules/lodash-es/_root.js -var _root = __webpack_require__(66092); +var _root = __webpack_require__(43936); ;// CONCATENATED MODULE: ./node_modules/lodash-es/now.js @@ -512,7 +512,7 @@ var _root = __webpack_require__(66092); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { - return _root/* default */.Z.Date.now(); + return _root/* default */.c.Date.now(); }; /* harmony default export */ const lodash_es_now = (now); @@ -529,7 +529,7 @@ var now = function() { function addDummyNode(g, type, attrs, name) { var v; do { - v = uniqueId/* default */.Z(name); + v = uniqueId/* default */.c(name); } while (g.hasNode(v)); attrs.dummy = type; @@ -542,11 +542,11 @@ function addDummyNode(g, type, attrs, name) { * associated with multi-edges. */ function simplify(g) { - var simplified = new graphlib/* Graph */.k().setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M().setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { simplified.setNode(v, g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var simpleLabel = simplified.edge(e.v, e.w) || { weight: 0, minlen: 1 }; var label = g.edge(e); simplified.setEdge(e.v, e.w, { @@ -558,13 +558,13 @@ function simplify(g) { } function asNonCompoundGraph(g) { - var simplified = new graphlib/* Graph */.k({ multigraph: g.isMultigraph() }).setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M({ multigraph: g.isMultigraph() }).setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { if (!g.children(v).length) { simplified.setNode(v, g.node(v)); } }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { simplified.setEdge(e, g.edge(e)); }); return simplified; @@ -636,13 +636,13 @@ function intersectRect(rect, point) { * function will produce a matrix with the ids of each node. */ function buildLayerMatrix(g) { - var layering = map/* default */.Z(range/* default */.Z(util_maxRank(g) + 1), function () { + var layering = map/* default */.c(range/* default */.c(util_maxRank(g) + 1), function () { return []; }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); var rank = node.rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { layering[rank][node.order] = v; } }); @@ -655,13 +655,13 @@ function buildLayerMatrix(g) { */ function normalizeRanks(g) { var min = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); - if (has/* default */.Z(node, 'rank')) { + if (has/* default */.c(node, 'rank')) { node.rank -= min; } }); @@ -670,13 +670,13 @@ function normalizeRanks(g) { function removeEmptyRanks(g) { // Ranks may not start at 0, so we need to offset them var offset = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); var layers = []; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank - offset; if (!layers[rank]) { layers[rank] = []; @@ -686,11 +686,11 @@ function removeEmptyRanks(g) { var delta = 0; var nodeRankFactor = g.graph().nodeRankFactor; - forEach/* default */.Z(layers, function (vs, i) { - if (isUndefined/* default */.Z(vs) && i % nodeRankFactor !== 0) { + forEach/* default */.c(layers, function (vs, i) { + if (isUndefined/* default */.c(vs) && i % nodeRankFactor !== 0) { --delta; } else if (delta) { - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { g.node(v).rank += delta; }); } @@ -711,9 +711,9 @@ function addBorderNode(g, prefix, rank, order) { function util_maxRank(g) { return lodash_es_max( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { return rank; } }) @@ -727,7 +727,7 @@ function util_maxRank(g) { */ function partition(collection, fn) { var result = { lhs: [], rhs: [] }; - forEach/* default */.Z(collection, function (value) { + forEach/* default */.c(collection, function (value) { if (fn(value)) { result.lhs.push(value); } else { @@ -765,10 +765,10 @@ function addBorderSegments(g) { var children = g.children(v); var node = g.node(v); if (children.length) { - forEach/* default */.Z(children, dfs); + forEach/* default */.c(children, dfs); } - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { node.borderLeft = []; node.borderRight = []; for (var rank = node.minRank, maxRank = node.maxRank + 1; rank < maxRank; ++rank) { @@ -778,7 +778,7 @@ function addBorderSegments(g) { } } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); } function add_border_segments_addBorderNode(g, prop, prefix, sg, sgNode, rank) { @@ -817,10 +817,10 @@ function coordinate_system_undo(g) { } function swapWidthHeight(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapWidthHeightOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { swapWidthHeightOne(g.edge(e)); }); } @@ -832,14 +832,14 @@ function swapWidthHeightOne(attrs) { } function reverseY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { reverseYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, reverseYOne); - if (has/* default */.Z(edge, 'y')) { + forEach/* default */.c(edge.points, reverseYOne); + if (has/* default */.c(edge, 'y')) { reverseYOne(edge); } }); @@ -850,14 +850,14 @@ function reverseYOne(attrs) { } function swapXY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapXYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, swapXYOne); - if (has/* default */.Z(edge, 'x')) { + forEach/* default */.c(edge.points, swapXYOne); + if (has/* default */.c(edge, 'x')) { swapXYOne(edge); } }); @@ -893,7 +893,7 @@ function swapXYOne(attrs) { */ function normalize_run(g) { g.graph().dummyChains = []; - forEach/* default */.Z(g.edges(), function (edge) { + forEach/* default */.c(g.edges(), function (edge) { normalizeEdge(g, edge); }); } @@ -941,7 +941,7 @@ function normalizeEdge(g, e) { } function normalize_undo(g) { - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var origLabel = node.edgeLabel; var w; @@ -992,7 +992,7 @@ function normalize_undo(g) { */ function minBy(array, iteratee) { return (array && array.length) - ? _baseExtremum(array, (0,_baseIteratee/* default */.Z)(iteratee, 2), _baseLt) + ? _baseExtremum(array, (0,_baseIteratee/* default */.c)(iteratee, 2), _baseLt) : undefined; } @@ -1029,13 +1029,13 @@ function longestPath(g) { function dfs(v) { var label = g.node(v); - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return label.rank; } visited[v] = true; var rank = lodash_es_min( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return dfs(e.w) - g.edge(e).minlen; }) ); @@ -1052,7 +1052,7 @@ function longestPath(g) { return (label.rank = rank); } - forEach/* default */.Z(g.sources(), dfs); + forEach/* default */.c(g.sources(), dfs); } /* @@ -1096,7 +1096,7 @@ function slack(g, e) { * edges. */ function feasibleTree(g) { - var t = new graphlib/* Graph */.k({ directed: false }); + var t = new graphlib/* Graph */.M({ directed: false }); // Choose arbitrary node from which to start our tree var start = g.nodes()[0]; @@ -1119,7 +1119,7 @@ function feasibleTree(g) { */ function tightTree(t, g) { function dfs(v) { - forEach/* default */.Z(g.nodeEdges(v), function (e) { + forEach/* default */.c(g.nodeEdges(v), function (e) { var edgeV = e.v, w = v === edgeV ? e.w : edgeV; if (!t.hasNode(w) && !slack(g, e)) { @@ -1130,7 +1130,7 @@ function tightTree(t, g) { }); } - forEach/* default */.Z(t.nodes(), dfs); + forEach/* default */.c(t.nodes(), dfs); return t.nodeCount(); } @@ -1147,15 +1147,15 @@ function findMinSlackEdge(t, g) { } function shiftRanks(t, g, delta) { - forEach/* default */.Z(t.nodes(), function (v) { + forEach/* default */.c(t.nodes(), function (v) { g.node(v).rank += delta; }); } // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createFind.js @@ -1171,9 +1171,9 @@ var keys = __webpack_require__(17179); function createFind(findIndexFunc) { return function(collection, predicate, fromIndex) { var iterable = Object(collection); - if (!(0,isArrayLike/* default */.Z)(collection)) { - var iteratee = (0,_baseIteratee/* default */.Z)(predicate, 3); - collection = (0,keys/* default */.Z)(collection); + if (!(0,isArrayLike/* default */.c)(collection)) { + var iteratee = (0,_baseIteratee/* default */.c)(predicate, 3); + collection = (0,keys/* default */.c)(collection); predicate = function(key) { return iteratee(iterable[key], key, iterable); }; } var index = findIndexFunc(collection, predicate, fromIndex); @@ -1184,9 +1184,9 @@ function createFind(findIndexFunc) { /* harmony default export */ const _createFind = (createFind); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toInteger.js @@ -1217,7 +1217,7 @@ var toFinite = __webpack_require__(94099); * // => 3 */ function toInteger(value) { - var result = (0,toFinite/* default */.Z)(value), + var result = (0,toFinite/* default */.c)(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; @@ -1277,7 +1277,7 @@ function findIndex(array, predicate, fromIndex) { if (index < 0) { index = nativeMax(length + index, 0); } - return (0,_baseFindIndex/* default */.Z)(array, (0,_baseIteratee/* default */.Z)(predicate, 3), index); + return (0,_baseFindIndex/* default */.c)(array, (0,_baseIteratee/* default */.c)(predicate, 3), index); } /* harmony default export */ const lodash_es_findIndex = (findIndex); @@ -1327,14 +1327,14 @@ var find = _createFind(lodash_es_findIndex); /* harmony default export */ const lodash_es_find = (find); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/dijkstra.js -var DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function dijkstra_dijkstra(g, source, weightFn, edgeFn) { return runDijkstra( @@ -1416,7 +1416,7 @@ function dijkstraAll(g, weightFunc, edgeFunc) { -var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function floydWarshall(g, weightFn, edgeFn) { return runFloydWarshall( @@ -1469,15 +1469,15 @@ function runFloydWarshall(g, weightFn, edgeFn) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseKeys.js + 1 modules -var _baseKeys = __webpack_require__(39473); +var _baseKeys = __webpack_require__(61376); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetTag.js + 2 modules -var _baseGetTag = __webpack_require__(93589); +var _baseGetTag = __webpack_require__(67724); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isString.js @@ -1505,13 +1505,13 @@ var stringTag = '[object String]'; */ function isString(value) { return typeof value == 'string' || - (!(0,isArray/* default */.Z)(value) && (0,isObjectLike/* default */.Z)(value) && (0,_baseGetTag/* default */.Z)(value) == stringTag); + (!(0,isArray/* default */.c)(value) && (0,isObjectLike/* default */.c)(value) && (0,_baseGetTag/* default */.c)(value) == stringTag); } /* harmony default export */ const lodash_es_isString = (isString); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_asciiSize.js @@ -1522,7 +1522,7 @@ var _baseProperty = __webpack_require__(54193); * @param {string} string The string inspect. * @returns {number} Returns the string size. */ -var asciiSize = (0,_baseProperty/* default */.Z)('length'); +var asciiSize = (0,_baseProperty/* default */.c)('length'); /* harmony default export */ const _asciiSize = (asciiSize); @@ -1656,14 +1656,14 @@ function size(collection) { if (collection == null) { return 0; } - if ((0,isArrayLike/* default */.Z)(collection)) { + if ((0,isArrayLike/* default */.c)(collection)) { return lodash_es_isString(collection) ? _stringSize(collection) : collection.length; } - var tag = (0,_getTag/* default */.Z)(collection); + var tag = (0,_getTag/* default */.c)(collection); if (tag == mapTag || tag == setTag) { return collection.size; } - return (0,_baseKeys/* default */.Z)(collection).length; + return (0,_baseKeys/* default */.c)(collection).length; } /* harmony default export */ const lodash_es_size = (size); @@ -1681,20 +1681,20 @@ function topsort_topsort(g) { var results = []; function visit(node) { - if (has/* default */.Z(stack, node)) { + if (has/* default */.c(stack, node)) { throw new topsort_CycleException(); } - if (!has/* default */.Z(visited, node)) { + if (!has/* default */.c(visited, node)) { stack[node] = true; visited[node] = true; - forEach/* default */.Z(g.predecessors(node), visit); + forEach/* default */.c(g.predecessors(node), visit); delete stack[node]; results.push(node); } } - forEach/* default */.Z(g.sinks(), visit); + forEach/* default */.c(g.sinks(), visit); if (lodash_es_size(visited) !== g.nodeCount()) { throw new topsort_CycleException(); @@ -1737,7 +1737,7 @@ function isAcyclic(g) { * Order must be one of "pre" or "post". */ function dfs(g, vs, order) { - if (!isArray/* default */.Z(vs)) { + if (!isArray/* default */.c(vs)) { vs = [vs]; } @@ -1745,7 +1745,7 @@ function dfs(g, vs, order) { var acc = []; var visited = {}; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (!g.hasNode(v)) { throw new Error('Graph does not have node: ' + v); } @@ -1756,13 +1756,13 @@ function dfs(g, vs, order) { } function doDfs(g, v, postorder, visited, navigation, acc) { - if (!has/* default */.Z(visited, v)) { + if (!has/* default */.c(visited, v)) { visited[v] = true; if (!postorder) { acc.push(v); } - forEach/* default */.Z(navigation(v), function (w) { + forEach/* default */.c(navigation(v), function (w) { doDfs(g, w, postorder, visited, navigation, acc); }); if (postorder) { @@ -1790,7 +1790,7 @@ function preorder(g, vs) { } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); +var graph = __webpack_require__(58048); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/prim.js @@ -1930,7 +1930,7 @@ function networkSimplex(g) { function initCutValues(t, g) { var vs = postorder(t, t.nodes()); vs = vs.slice(0, vs.length - 1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { assignCutValue(t, g, v); }); } @@ -1962,7 +1962,7 @@ function calcCutValue(t, g, child) { cutValue = graphEdge.weight; - forEach/* default */.Z(g.nodeEdges(child), function (e) { + forEach/* default */.c(g.nodeEdges(child), function (e) { var isOutEdge = e.v === child, other = isOutEdge ? e.w : e.v; @@ -1993,8 +1993,8 @@ function dfsAssignLowLim(tree, visited, nextLim, v, parent) { var label = tree.node(v); visited[v] = true; - forEach/* default */.Z(tree.neighbors(v), function (w) { - if (!has/* default */.Z(visited, w)) { + forEach/* default */.c(tree.neighbors(v), function (w) { + if (!has/* default */.c(visited, w)) { nextLim = dfsAssignLowLim(tree, visited, nextLim, w, v); } }); @@ -2041,7 +2041,7 @@ function enterEdge(t, g, edge) { flip = true; } - var candidates = filter/* default */.Z(g.edges(), function (edge) { + var candidates = filter/* default */.c(g.edges(), function (edge) { return ( flip === isDescendant(t, t.node(edge.v), tailLabel) && flip !== isDescendant(t, t.node(edge.w), tailLabel) @@ -2069,7 +2069,7 @@ function updateRanks(t, g) { }); var vs = preorder(t, root); vs = vs.slice(1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var parent = t.node(v).parent, edge = g.edge(v, parent), flipped = false; @@ -2153,9 +2153,9 @@ function networkSimplexRanker(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/nesting-graph.js @@ -2188,13 +2188,13 @@ var reduce = __webpack_require__(92344); function nesting_graph_run(g) { var root = addDummyNode(g, 'root', {}, '_root'); var depths = treeDepths(g); - var height = lodash_es_max(values/* default */.Z(depths)) - 1; // Note: depths is an Object not an array + var height = lodash_es_max(values/* default */.c(depths)) - 1; // Note: depths is an Object not an array var nodeSep = 2 * height + 1; g.graph().nestingRoot = root; // Multiply minlen by nodeSep to align nodes on non-border ranks. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { g.edge(e).minlen *= nodeSep; }); @@ -2202,7 +2202,7 @@ function nesting_graph_run(g) { var weight = sumWeights(g) + 1; // Create border nodes and link them up - forEach/* default */.Z(g.children(), function (child) { + forEach/* default */.c(g.children(), function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); }); @@ -2229,7 +2229,7 @@ function nesting_graph_dfs(g, root, nodeSep, weight, height, depths, v) { g.setParent(bottom, v); label.borderBottom = bottom; - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); var childNode = g.node(child); @@ -2261,20 +2261,20 @@ function treeDepths(g) { function dfs(v, depth) { var children = g.children(v); if (children && children.length) { - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { dfs(child, depth + 1); }); } depths[v] = depth; } - forEach/* default */.Z(g.children(), function (v) { + forEach/* default */.c(g.children(), function (v) { dfs(v, 1); }); return depths; } function sumWeights(g) { - return reduce/* default */.Z( + return reduce/* default */.c( g.edges(), function (acc, e) { return acc + g.edge(e).weight; @@ -2287,7 +2287,7 @@ function cleanup(g) { var graphLabel = g.graph(); g.removeNode(graphLabel.nestingRoot); delete graphLabel.nestingRoot; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.nestingEdge) { g.removeEdge(e); @@ -2296,7 +2296,7 @@ function cleanup(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); +var _baseClone = __webpack_require__(48492); ;// CONCATENATED MODULE: ./node_modules/lodash-es/cloneDeep.js @@ -2323,7 +2323,7 @@ var CLONE_DEEP_FLAG = 1, * // => false */ function cloneDeep(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); + return (0,_baseClone/* default */.c)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); } /* harmony default export */ const lodash_es_cloneDeep = (cloneDeep); @@ -2337,7 +2337,7 @@ function addSubgraphConstraints(g, cg, vs) { var prev = {}, rootPrev; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var child = g.parent(v), parent, prevChild; @@ -2421,13 +2421,13 @@ function addSubgraphConstraints(g, cg, vs) { */ function buildLayerGraph(g, rank, relationship) { var root = createRootNode(g), - result = new graphlib/* Graph */.k({ compound: true }) + result = new graphlib/* Graph */.M({ compound: true }) .setGraph({ root: root }) .setDefaultNodeLabel(function (v) { return g.node(v); }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v), parent = g.parent(v); @@ -2436,14 +2436,14 @@ function buildLayerGraph(g, rank, relationship) { result.setParent(v, parent || root); // This assumes we have only short edges! - forEach/* default */.Z(g[relationship](v), function (e) { + forEach/* default */.c(g[relationship](v), function (e) { var u = e.v === v ? e.w : e.v, edge = result.edge(u, v), - weight = !isUndefined/* default */.Z(edge) ? edge.weight : 0; + weight = !isUndefined/* default */.c(edge) ? edge.weight : 0; result.setEdge(u, v, { weight: g.edge(e).weight + weight }); }); - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { result.setNode(v, { borderLeft: node.borderLeft[rank], borderRight: node.borderRight[rank], @@ -2457,12 +2457,12 @@ function buildLayerGraph(g, rank, relationship) { function createRootNode(g) { var v; - while (g.hasNode((v = uniqueId/* default */.Z('_root')))); + while (g.hasNode((v = uniqueId/* default */.c('_root')))); return v; } // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseZipObject.js /** * This base implementation of `_.zipObject` which assigns values using `assignFunc`. @@ -2509,19 +2509,19 @@ function baseZipObject(props, values, assignFunc) { * // => { 'a': 1, 'b': 2 } */ function zipObject(props, values) { - return _baseZipObject(props || [], values || [], _assignValue/* default */.Z); + return _baseZipObject(props || [], values || [], _assignValue/* default */.c); } /* harmony default export */ const lodash_es_zipObject = (zipObject); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseMap.js -var _baseMap = __webpack_require__(21018); +var _baseMap = __webpack_require__(90360); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSortBy.js /** * The base implementation of `_.sortBy` which uses `comparer` to define the @@ -2546,7 +2546,7 @@ function baseSortBy(array, comparer) { /* harmony default export */ const _baseSortBy = (baseSortBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_compareAscending.js @@ -2563,12 +2563,12 @@ function compareAscending(value, other) { var valIsDefined = value !== undefined, valIsNull = value === null, valIsReflexive = value === value, - valIsSymbol = (0,isSymbol/* default */.Z)(value); + valIsSymbol = (0,isSymbol/* default */.c)(value); var othIsDefined = other !== undefined, othIsNull = other === null, othIsReflexive = other === other, - othIsSymbol = (0,isSymbol/* default */.Z)(other); + othIsSymbol = (0,isSymbol/* default */.c)(other); if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) || (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) || @@ -2658,23 +2658,23 @@ function compareMultiple(object, other, orders) { */ function baseOrderBy(collection, iteratees, orders) { if (iteratees.length) { - iteratees = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { - if ((0,isArray/* default */.Z)(iteratee)) { + iteratees = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { + if ((0,isArray/* default */.c)(iteratee)) { return function(value) { - return (0,_baseGet/* default */.Z)(value, iteratee.length === 1 ? iteratee[0] : iteratee); + return (0,_baseGet/* default */.c)(value, iteratee.length === 1 ? iteratee[0] : iteratee); } } return iteratee; }); } else { - iteratees = [identity/* default */.Z]; + iteratees = [identity/* default */.c]; } var index = -1; - iteratees = (0,_arrayMap/* default */.Z)(iteratees, (0,_baseUnary/* default */.Z)(_baseIteratee/* default */.Z)); + iteratees = (0,_arrayMap/* default */.c)(iteratees, (0,_baseUnary/* default */.c)(_baseIteratee/* default */.c)); - var result = (0,_baseMap/* default */.Z)(collection, function(value, key, collection) { - var criteria = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { + var result = (0,_baseMap/* default */.c)(collection, function(value, key, collection) { + var criteria = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { return iteratee(value); }); return { 'criteria': criteria, 'index': ++index, 'value': value }; @@ -2688,9 +2688,9 @@ function baseOrderBy(collection, iteratees, orders) { /* harmony default export */ const _baseOrderBy = (baseOrderBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/sortBy.js @@ -2726,17 +2726,17 @@ var _isIterateeCall = __webpack_require__(50439); * _.sortBy(users, ['user', 'age']); * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]] */ -var sortBy = (0,_baseRest/* default */.Z)(function(collection, iteratees) { +var sortBy = (0,_baseRest/* default */.c)(function(collection, iteratees) { if (collection == null) { return []; } var length = iteratees.length; - if (length > 1 && (0,_isIterateeCall/* default */.Z)(collection, iteratees[0], iteratees[1])) { + if (length > 1 && (0,_isIterateeCall/* default */.c)(collection, iteratees[0], iteratees[1])) { iteratees = []; - } else if (length > 2 && (0,_isIterateeCall/* default */.Z)(iteratees[0], iteratees[1], iteratees[2])) { + } else if (length > 2 && (0,_isIterateeCall/* default */.c)(iteratees[0], iteratees[1], iteratees[2])) { iteratees = [iteratees[0]]; } - return _baseOrderBy(collection, (0,_baseFlatten/* default */.Z)(iteratees, 1), []); + return _baseOrderBy(collection, (0,_baseFlatten/* default */.c)(iteratees, 1), []); }); /* harmony default export */ const lodash_es_sortBy = (sortBy); @@ -2776,14 +2776,14 @@ function twoLayerCrossCount(g, northLayer, southLayer) { // their head in the south layer. var southPos = lodash_es_zipObject( southLayer, - map/* default */.Z(southLayer, function (v, i) { + map/* default */.c(southLayer, function (v, i) { return i; }) ); - var southEntries = flatten/* default */.Z( - map/* default */.Z(northLayer, function (v) { + var southEntries = flatten/* default */.c( + map/* default */.c(northLayer, function (v) { return lodash_es_sortBy( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return { pos: southPos[e.w], weight: g.edge(e).weight }; }), 'pos' @@ -2796,13 +2796,13 @@ function twoLayerCrossCount(g, northLayer, southLayer) { while (firstIndex < southLayer.length) firstIndex <<= 1; var treeSize = 2 * firstIndex - 1; firstIndex -= 1; - var tree = map/* default */.Z(new Array(treeSize), function () { + var tree = map/* default */.c(new Array(treeSize), function () { return 0; }); // Calculate the weighted crossings var cc = 0; - forEach/* default */.Z( + forEach/* default */.c( // @ts-expect-error southEntries.forEach(function (entry) { var index = entry.pos + firstIndex; @@ -2843,30 +2843,30 @@ function twoLayerCrossCount(g, northLayer, southLayer) { */ function initOrder(g) { var visited = {}; - var simpleNodes = filter/* default */.Z(g.nodes(), function (v) { + var simpleNodes = filter/* default */.c(g.nodes(), function (v) { return !g.children(v).length; }); var maxRank = lodash_es_max( - map/* default */.Z(simpleNodes, function (v) { + map/* default */.c(simpleNodes, function (v) { return g.node(v).rank; }) ); - var layers = map/* default */.Z(range/* default */.Z(maxRank + 1), function () { + var layers = map/* default */.c(range/* default */.c(maxRank + 1), function () { return []; }); function dfs(v) { - if (has/* default */.Z(visited, v)) return; + if (has/* default */.c(visited, v)) return; visited[v] = true; var node = g.node(v); layers[node.rank].push(v); - forEach/* default */.Z(g.successors(v), dfs); + forEach/* default */.c(g.successors(v), dfs); } var orderedVs = lodash_es_sortBy(simpleNodes, function (v) { return g.node(v).rank; }); - forEach/* default */.Z(orderedVs, dfs); + forEach/* default */.c(orderedVs, dfs); return layers; } @@ -2877,12 +2877,12 @@ function initOrder(g) { function barycenter(g, movable) { - return map/* default */.Z(movable, function (v) { + return map/* default */.c(movable, function (v) { var inV = g.inEdges(v); if (!inV.length) { return { v: v }; } else { - var result = reduce/* default */.Z( + var result = reduce/* default */.c( inV, function (acc, e) { var edge = g.edge(e), @@ -2936,7 +2936,7 @@ function barycenter(g, movable) { */ function resolveConflicts(entries, cg) { var mappedEntries = {}; - forEach/* default */.Z(entries, function (entry, i) { + forEach/* default */.c(entries, function (entry, i) { var tmp = (mappedEntries[entry.v] = { indegree: 0, in: [], @@ -2944,7 +2944,7 @@ function resolveConflicts(entries, cg) { vs: [entry.v], i: i, }); - if (!isUndefined/* default */.Z(entry.barycenter)) { + if (!isUndefined/* default */.c(entry.barycenter)) { // @ts-expect-error tmp.barycenter = entry.barycenter; // @ts-expect-error @@ -2952,16 +2952,16 @@ function resolveConflicts(entries, cg) { } }); - forEach/* default */.Z(cg.edges(), function (e) { + forEach/* default */.c(cg.edges(), function (e) { var entryV = mappedEntries[e.v]; var entryW = mappedEntries[e.w]; - if (!isUndefined/* default */.Z(entryV) && !isUndefined/* default */.Z(entryW)) { + if (!isUndefined/* default */.c(entryV) && !isUndefined/* default */.c(entryW)) { entryW.indegree++; entryV.out.push(mappedEntries[e.w]); } }); - var sourceSet = filter/* default */.Z(mappedEntries, function (entry) { + var sourceSet = filter/* default */.c(mappedEntries, function (entry) { // @ts-expect-error return !entry.indegree; }); @@ -2978,8 +2978,8 @@ function doResolveConflicts(sourceSet) { return; } if ( - isUndefined/* default */.Z(uEntry.barycenter) || - isUndefined/* default */.Z(vEntry.barycenter) || + isUndefined/* default */.c(uEntry.barycenter) || + isUndefined/* default */.c(vEntry.barycenter) || uEntry.barycenter >= vEntry.barycenter ) { mergeEntries(vEntry, uEntry); @@ -2999,16 +2999,16 @@ function doResolveConflicts(sourceSet) { while (sourceSet.length) { var entry = sourceSet.pop(); entries.push(entry); - forEach/* default */.Z(entry['in'].reverse(), handleIn(entry)); - forEach/* default */.Z(entry.out, handleOut(entry)); + forEach/* default */.c(entry['in'].reverse(), handleIn(entry)); + forEach/* default */.c(entry.out, handleOut(entry)); } - return map/* default */.Z( - filter/* default */.Z(entries, function (entry) { + return map/* default */.c( + filter/* default */.c(entries, function (entry) { return !entry.merged; }), function (entry) { - return pick/* default */.Z(entry, ['vs', 'i', 'barycenter', 'weight']); + return pick/* default */.c(entry, ['vs', 'i', 'barycenter', 'weight']); } ); } @@ -3042,7 +3042,7 @@ function mergeEntries(target, source) { function sort(entries, biasRight) { var parts = partition(entries, function (entry) { - return has/* default */.Z(entry, 'barycenter'); + return has/* default */.c(entry, 'barycenter'); }); var sortable = parts.lhs, unsortable = lodash_es_sortBy(parts.rhs, function (entry) { @@ -3057,7 +3057,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); - forEach/* default */.Z(sortable, function (entry) { + forEach/* default */.c(sortable, function (entry) { vsIndex += entry.vs.length; vs.push(entry.vs); sum += entry.barycenter * entry.weight; @@ -3065,7 +3065,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); }); - var result = { vs: flatten/* default */.Z(vs) }; + var result = { vs: flatten/* default */.c(vs) }; if (weight) { result.barycenter = sum / weight; result.weight = weight; @@ -3111,17 +3111,17 @@ function sortSubgraph(g, v, cg, biasRight) { var subgraphs = {}; if (bl) { - movable = filter/* default */.Z(movable, function (w) { + movable = filter/* default */.c(movable, function (w) { return w !== bl && w !== br; }); } var barycenters = barycenter(g, movable); - forEach/* default */.Z(barycenters, function (entry) { + forEach/* default */.c(barycenters, function (entry) { if (g.children(entry.v).length) { var subgraphResult = sortSubgraph(g, entry.v, cg, biasRight); subgraphs[entry.v] = subgraphResult; - if (has/* default */.Z(subgraphResult, 'barycenter')) { + if (has/* default */.c(subgraphResult, 'barycenter')) { mergeBarycenters(entry, subgraphResult); } } @@ -3133,11 +3133,11 @@ function sortSubgraph(g, v, cg, biasRight) { var result = sort(entries, biasRight); if (bl) { - result.vs = flatten/* default */.Z([bl, result.vs, br]); + result.vs = flatten/* default */.c([bl, result.vs, br]); if (g.predecessors(bl).length) { var blPred = g.node(g.predecessors(bl)[0]), brPred = g.node(g.predecessors(br)[0]); - if (!has/* default */.Z(result, 'barycenter')) { + if (!has/* default */.c(result, 'barycenter')) { result.barycenter = 0; result.weight = 0; } @@ -3151,8 +3151,8 @@ function sortSubgraph(g, v, cg, biasRight) { } function expandSubgraphs(entries, subgraphs) { - forEach/* default */.Z(entries, function (entry) { - entry.vs = flatten/* default */.Z( + forEach/* default */.c(entries, function (entry) { + entry.vs = flatten/* default */.c( entry.vs.map(function (v) { if (subgraphs[v]) { return subgraphs[v].vs; @@ -3164,7 +3164,7 @@ function expandSubgraphs(entries, subgraphs) { } function mergeBarycenters(target, other) { - if (!isUndefined/* default */.Z(target.barycenter)) { + if (!isUndefined/* default */.c(target.barycenter)) { target.barycenter = (target.barycenter * target.weight + other.barycenter * other.weight) / (target.weight + other.weight); @@ -3204,8 +3204,8 @@ function mergeBarycenters(target, other) { */ function order(g) { var maxRank = util_maxRank(g), - downLayerGraphs = buildLayerGraphs(g, range/* default */.Z(1, maxRank + 1), 'inEdges'), - upLayerGraphs = buildLayerGraphs(g, range/* default */.Z(maxRank - 1, -1, -1), 'outEdges'); + downLayerGraphs = buildLayerGraphs(g, range/* default */.c(1, maxRank + 1), 'inEdges'), + upLayerGraphs = buildLayerGraphs(g, range/* default */.c(maxRank - 1, -1, -1), 'outEdges'); var layering = initOrder(g); assignOrder(g, layering); @@ -3229,17 +3229,17 @@ function order(g) { } function buildLayerGraphs(g, ranks, relationship) { - return map/* default */.Z(ranks, function (rank) { + return map/* default */.c(ranks, function (rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { - var cg = new graphlib/* Graph */.k(); - forEach/* default */.Z(layerGraphs, function (lg) { + var cg = new graphlib/* Graph */.M(); + forEach/* default */.c(layerGraphs, function (lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); - forEach/* default */.Z(sorted.vs, function (v, i) { + forEach/* default */.c(sorted.vs, function (v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); @@ -3247,8 +3247,8 @@ function sweepLayerGraphs(layerGraphs, biasRight) { } function assignOrder(g, layering) { - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, i) { g.node(v).order = i; }); }); @@ -3262,7 +3262,7 @@ function assignOrder(g, layering) { function parentDummyChains(g) { var postorderNums = parent_dummy_chains_postorder(g); - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var edgeObj = node.edgeObj; var pathData = findPath(g, postorderNums, edgeObj.v, edgeObj.w); @@ -3334,16 +3334,16 @@ function parent_dummy_chains_postorder(g) { function dfs(v) { var low = lim; - forEach/* default */.Z(g.children(v), dfs); + forEach/* default */.c(g.children(v), dfs); result[v] = { low: low, lim: lim++ }; } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); return result; } // EXTERNAL MODULE: ./node_modules/lodash-es/_castFunction.js -var _castFunction = __webpack_require__(68882); +var _castFunction = __webpack_require__(12176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forOwn.js @@ -3377,15 +3377,15 @@ var _castFunction = __webpack_require__(68882); * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forOwn(object, iteratee) { - return object && (0,_baseForOwn/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee)); + return object && (0,_baseForOwn/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee)); } /* harmony default export */ const lodash_es_forOwn = (forOwn); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFor.js + 1 modules -var _baseFor = __webpack_require__(61395); +var _baseFor = __webpack_require__(19004); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forIn.js @@ -3422,7 +3422,7 @@ var keysIn = __webpack_require__(32957); function forIn(object, iteratee) { return object == null ? object - : (0,_baseFor/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee), keysIn/* default */.Z); + : (0,_baseFor/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee), keysIn/* default */.c); } /* harmony default export */ const lodash_es_forIn = (forIn); @@ -3469,13 +3469,13 @@ function findType1Conflicts(g, layering) { prevLayerLength = prevLayer.length, lastNode = lodash_es_last(layer); - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var w = findOtherInnerSegmentNode(g, v), k1 = w ? g.node(w).order : prevLayerLength; if (w || v === lastNode) { - forEach/* default */.Z(layer.slice(scanPos, i + 1), function (scanNode) { - forEach/* default */.Z(g.predecessors(scanNode), function (u) { + forEach/* default */.c(layer.slice(scanPos, i + 1), function (scanNode) { + forEach/* default */.c(g.predecessors(scanNode), function (u) { var uLabel = g.node(u), uPos = uLabel.order; if ((uPos < k0 || k1 < uPos) && !(uLabel.dummy && g.node(scanNode).dummy)) { @@ -3492,7 +3492,7 @@ function findType1Conflicts(g, layering) { return layer; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3501,10 +3501,10 @@ function findType2Conflicts(g, layering) { function scan(south, southPos, southEnd, prevNorthBorder, nextNorthBorder) { var v; - forEach/* default */.Z(range/* default */.Z(southPos, southEnd), function (i) { + forEach/* default */.c(range/* default */.c(southPos, southEnd), function (i) { v = south[i]; if (g.node(v).dummy) { - forEach/* default */.Z(g.predecessors(v), function (u) { + forEach/* default */.c(g.predecessors(v), function (u) { var uNode = g.node(u); if (uNode.dummy && (uNode.order < prevNorthBorder || uNode.order > nextNorthBorder)) { addConflict(conflicts, u, v); @@ -3519,7 +3519,7 @@ function findType2Conflicts(g, layering) { nextNorthPos, southPos = 0; - forEach/* default */.Z(south, function (v, southLookahead) { + forEach/* default */.c(south, function (v, southLookahead) { if (g.node(v).dummy === 'border') { var predecessors = g.predecessors(v); if (predecessors.length) { @@ -3536,7 +3536,7 @@ function findType2Conflicts(g, layering) { return south; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3568,7 +3568,7 @@ function hasConflict(conflicts, v, w) { v = w; w = tmp; } - return has/* default */.Z(conflicts[v], w); + return has/* default */.c(conflicts[v], w); } /* @@ -3587,17 +3587,17 @@ function verticalAlignment(g, layering, conflicts, neighborFn) { // We cache the position here based on the layering because the graph and // layering may be out of sync. The layering matrix is manipulated to // generate different extreme alignments. - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, order) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, order) { root[v] = v; align[v] = v; pos[v] = order; }); }); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var prevIdx = -1; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var ws = neighborFn(v); if (ws.length) { ws = lodash_es_sortBy(ws, function (w) { @@ -3669,7 +3669,7 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { iterate(pass2, blockG.successors.bind(blockG)); // Assign x coordinates to all nodes - forEach/* default */.Z(align, function (v) { + forEach/* default */.c(align, function (v) { xs[v] = xs[root[v]]; }); @@ -3677,13 +3677,13 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { } function buildBlockGraph(g, layering, root, reverseSep) { - var blockGraph = new graphlib/* Graph */.k(), + var blockGraph = new graphlib/* Graph */.M(), graphLabel = g.graph(), sepFn = sep(graphLabel.nodesep, graphLabel.edgesep, reverseSep); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var u; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var vRoot = root[v]; blockGraph.setNode(vRoot); if (u) { @@ -3702,7 +3702,7 @@ function buildBlockGraph(g, layering, root, reverseSep) { * Returns the alignment that has the smallest width of the given alignments. */ function findSmallestWidthAlignment(g, xss) { - return lodash_es_minBy(values/* default */.Z(xss), function (xs) { + return lodash_es_minBy(values/* default */.c(xss), function (xs) { var max = Number.NEGATIVE_INFINITY; var min = Number.POSITIVE_INFINITY; @@ -3725,18 +3725,18 @@ function findSmallestWidthAlignment(g, xss) { * coordinate of the smallest width alignment. */ function alignCoordinates(xss, alignTo) { - var alignToVals = values/* default */.Z(alignTo), + var alignToVals = values/* default */.c(alignTo), alignToMin = lodash_es_min(alignToVals), alignToMax = lodash_es_max(alignToVals); - forEach/* default */.Z(['u', 'd'], function (vert) { - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + forEach/* default */.c(['l', 'r'], function (horiz) { var alignment = vert + horiz, xs = xss[alignment], delta; if (xs === alignTo) return; - var xsVals = values/* default */.Z(xs); + var xsVals = values/* default */.c(xs); delta = horiz === 'l' ? alignToMin - lodash_es_min(xsVals) : alignToMax - lodash_es_max(xsVals); if (delta) { @@ -3753,7 +3753,7 @@ function balance(xss, align) { if (align) { return xss[align.toLowerCase()][v]; } else { - var xs = lodash_es_sortBy(map/* default */.Z(xss, v)); + var xs = lodash_es_sortBy(map/* default */.c(xss, v)); return (xs[1] + xs[2]) / 2; } }); @@ -3761,16 +3761,16 @@ function balance(xss, align) { function positionX(g) { var layering = buildLayerMatrix(g); - var conflicts = merge/* default */.Z(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); + var conflicts = merge/* default */.c(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); var xss = {}; var adjustedLayering; - forEach/* default */.Z(['u', 'd'], function (vert) { - adjustedLayering = vert === 'u' ? layering : values/* default */.Z(layering).reverse(); - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + adjustedLayering = vert === 'u' ? layering : values/* default */.c(layering).reverse(); + forEach/* default */.c(['l', 'r'], function (horiz) { if (horiz === 'r') { - adjustedLayering = map/* default */.Z(adjustedLayering, function (inner) { - return values/* default */.Z(inner).reverse(); + adjustedLayering = map/* default */.c(adjustedLayering, function (inner) { + return values/* default */.c(inner).reverse(); }); } @@ -3799,7 +3799,7 @@ function sep(nodeSep, edgeSep, reverseSep) { var delta; sum += vLabel.width / 2; - if (has/* default */.Z(vLabel, 'labelpos')) { + if (has/* default */.c(vLabel, 'labelpos')) { switch (vLabel.labelpos.toLowerCase()) { case 'l': delta = -vLabel.width / 2; @@ -3818,7 +3818,7 @@ function sep(nodeSep, edgeSep, reverseSep) { sum += (wLabel.dummy ? edgeSep : nodeSep) / 2; sum += wLabel.width / 2; - if (has/* default */.Z(wLabel, 'labelpos')) { + if (has/* default */.c(wLabel, 'labelpos')) { switch (wLabel.labelpos.toLowerCase()) { case 'l': delta = wLabel.width / 2; @@ -3861,13 +3861,13 @@ function positionY(g) { var layering = buildLayerMatrix(g); var rankSep = g.graph().ranksep; var prevY = 0; - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var maxHeight = lodash_es_max( - map/* default */.Z(layer, function (v) { + map/* default */.c(layer, function (v) { return g.node(v).height; }) ); - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { g.node(v).y = prevY + maxHeight / 2; }); prevY += maxHeight + rankSep; @@ -3996,7 +3996,7 @@ function runLayout(g, time) { * attributes can influence layout. */ function updateInputGraph(inputGraph, layoutGraph) { - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var inputLabel = inputGraph.node(v); var layoutLabel = layoutGraph.node(v); @@ -4011,12 +4011,12 @@ function updateInputGraph(inputGraph, layoutGraph) { } }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var inputLabel = inputGraph.edge(e); var layoutLabel = layoutGraph.edge(e); inputLabel.points = layoutLabel.points; - if (has/* default */.Z(layoutLabel, 'x')) { + if (has/* default */.c(layoutLabel, 'x')) { inputLabel.x = layoutLabel.x; inputLabel.y = layoutLabel.y; } @@ -4049,24 +4049,24 @@ var edgeAttrs = ['labelpos']; * attributes can influence layout. */ function buildLayoutGraph(inputGraph) { - var g = new graphlib/* Graph */.k({ multigraph: true, compound: true }); + var g = new graphlib/* Graph */.M({ multigraph: true, compound: true }); var graph = canonicalize(inputGraph.graph()); g.setGraph( - merge/* default */.Z({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.Z(graph, graphAttrs)) + merge/* default */.c({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.c(graph, graphAttrs)) ); - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var node = canonicalize(inputGraph.node(v)); - g.setNode(v, defaults/* default */.Z(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); + g.setNode(v, defaults/* default */.c(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); g.setParent(v, inputGraph.parent(v)); }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var edge = canonicalize(inputGraph.edge(e)); g.setEdge( e, - merge/* default */.Z({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.Z(edge, edgeAttrs)) + merge/* default */.c({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.c(edge, edgeAttrs)) ); }); @@ -4084,7 +4084,7 @@ function buildLayoutGraph(inputGraph) { function makeSpaceForEdgeLabels(g) { var graph = g.graph(); graph.ranksep /= 2; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); edge.minlen *= 2; if (edge.labelpos.toLowerCase() !== 'c') { @@ -4104,7 +4104,7 @@ function makeSpaceForEdgeLabels(g) { * label's position. */ function injectEdgeLabelProxies(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.width && edge.height) { var v = g.node(e.v); @@ -4117,7 +4117,7 @@ function injectEdgeLabelProxies(g) { function assignRankMinMax(g) { var maxRank = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.borderTop) { node.minRank = g.node(node.borderTop).rank; @@ -4130,7 +4130,7 @@ function assignRankMinMax(g) { } function removeEdgeLabelProxies(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'edge-proxy') { g.edge(node.e).labelRank = node.rank; @@ -4159,12 +4159,12 @@ function translateGraph(g) { maxY = Math.max(maxY, y + h / 2); } - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { getExtremes(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { getExtremes(edge); } }); @@ -4172,22 +4172,22 @@ function translateGraph(g) { minX -= marginX; minY -= marginY; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); node.x -= minX; node.y -= minY; }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, function (p) { + forEach/* default */.c(edge.points, function (p) { p.x -= minX; p.y -= minY; }); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { edge.x -= minX; } - if (has/* default */.Z(edge, 'y')) { + if (has/* default */.c(edge, 'y')) { edge.y -= minY; } }); @@ -4197,7 +4197,7 @@ function translateGraph(g) { } function assignNodeIntersects(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); var nodeV = g.node(e.v); var nodeW = g.node(e.w); @@ -4216,9 +4216,9 @@ function assignNodeIntersects(g) { } function fixupEdgeLabelCoords(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { if (edge.labelpos === 'l' || edge.labelpos === 'r') { edge.width -= edge.labeloffset; } @@ -4235,7 +4235,7 @@ function fixupEdgeLabelCoords(g) { } function reversePointsForReversedEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.reversed) { edge.points.reverse(); @@ -4244,7 +4244,7 @@ function reversePointsForReversedEdges(g) { } function removeBorderNodes(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.children(v).length) { var node = g.node(v); var t = g.node(node.borderTop); @@ -4259,7 +4259,7 @@ function removeBorderNodes(g) { } }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.node(v).dummy === 'border') { g.removeNode(v); } @@ -4267,7 +4267,7 @@ function removeBorderNodes(g) { } function removeSelfEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { if (e.v === e.w) { var node = g.node(e.v); if (!node.selfEdges) { @@ -4281,12 +4281,12 @@ function removeSelfEdges(g) { function insertSelfEdges(g) { var layers = buildLayerMatrix(g); - forEach/* default */.Z(layers, function (layer) { + forEach/* default */.c(layers, function (layer) { var orderShift = 0; - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var node = g.node(v); node.order = i + orderShift; - forEach/* default */.Z(node.selfEdges, function (selfEdge) { + forEach/* default */.c(node.selfEdges, function (selfEdge) { addDummyNode( g, 'selfedge', @@ -4307,7 +4307,7 @@ function insertSelfEdges(g) { } function positionSelfEdges(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'selfedge') { var selfNode = g.node(node.e.v); @@ -4331,12 +4331,12 @@ function positionSelfEdges(g) { } function selectNumberAttrs(obj, attrs) { - return lodash_es_mapValues(pick/* default */.Z(obj, attrs), Number); + return lodash_es_mapValues(pick/* default */.c(obj, attrs), Number); } function canonicalize(attrs) { var newAttrs = {}; - forEach/* default */.Z(attrs, function (v, k) { + forEach/* default */.c(attrs, function (v, k) { newAttrs[k.toLowerCase()] = v; }); return newAttrs; @@ -4353,39 +4353,39 @@ function canonicalize(attrs) { /***/ }), -/***/ 52544: +/***/ 58048: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - k: () => (/* binding */ Graph) + M: () => (/* binding */ Graph) }); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/isFunction.js -var isFunction = __webpack_require__(73234); +var isFunction = __webpack_require__(59680); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); // EXTERNAL MODULE: ./node_modules/lodash-es/isEmpty.js -var isEmpty = __webpack_require__(79697); +var isEmpty = __webpack_require__(28796); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsNaN.js /** * The base implementation of `_.isNaN` without support for number objects. @@ -4442,7 +4442,7 @@ function strictIndexOf(array, value, fromIndex) { function baseIndexOf(array, value, fromIndex) { return value === value ? _strictIndexOf(array, value, fromIndex) - : (0,_baseFindIndex/* default */.Z)(array, _baseIsNaN, fromIndex); + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); } /* harmony default export */ const _baseIndexOf = (baseIndexOf); @@ -4491,9 +4491,9 @@ function arrayIncludesWith(array, value, comparator) { /* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); // EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js -var _Set = __webpack_require__(93203); +var _Set = __webpack_require__(61268); ;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js /** * This method returns `undefined`. @@ -4514,7 +4514,7 @@ function noop() { /* harmony default export */ const lodash_es_noop = (noop); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js @@ -4530,8 +4530,8 @@ var INFINITY = 1 / 0; * @param {Array} values The values to add to the set. * @returns {Object} Returns the new set. */ -var createSet = !(_Set/* default */.Z && (1 / (0,_setToArray/* default */.Z)(new _Set/* default */.Z([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { - return new _Set/* default */.Z(values); +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); }; /* harmony default export */ const _createSet = (createSet); @@ -4571,11 +4571,11 @@ function baseUniq(array, iteratee, comparator) { else if (length >= LARGE_ARRAY_SIZE) { var set = iteratee ? null : _createSet(array); if (set) { - return (0,_setToArray/* default */.Z)(set); + return (0,_setToArray/* default */.c)(set); } isCommon = false; - includes = _cacheHas/* default */.Z; - seen = new _SetCache/* default */.Z; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; } else { seen = iteratee ? [] : result; @@ -4611,7 +4611,7 @@ function baseUniq(array, iteratee, comparator) { /* harmony default export */ const _baseUniq = (baseUniq); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js -var isArrayLikeObject = __webpack_require__(836); +var isArrayLikeObject = __webpack_require__(19724); ;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js @@ -4634,16 +4634,16 @@ var isArrayLikeObject = __webpack_require__(836); * _.union([2], [1, 2]); * // => [2, 1] */ -var union = (0,_baseRest/* default */.Z)(function(arrays) { - return _baseUniq((0,_baseFlatten/* default */.Z)(arrays, 1, isArrayLikeObject/* default */.Z, true)); +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); }); /* harmony default export */ const lodash_es_union = (union); // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js @@ -4672,18 +4672,18 @@ var EDGE_KEY_DELIM = '\x01'; // we're going to get to a performant hashtable in JavaScript. class Graph { constructor(opts = {}) { - this._isDirected = has/* default */.Z(opts, 'directed') ? opts.directed : true; - this._isMultigraph = has/* default */.Z(opts, 'multigraph') ? opts.multigraph : false; - this._isCompound = has/* default */.Z(opts, 'compound') ? opts.compound : false; + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; // Label for the graph itself this._label = undefined; // Defaults to be set when creating a new node - this._defaultNodeLabelFn = constant/* default */.Z(undefined); + this._defaultNodeLabelFn = constant/* default */.c(undefined); // Defaults to be set when creating a new edge - this._defaultEdgeLabelFn = constant/* default */.Z(undefined); + this._defaultEdgeLabelFn = constant/* default */.c(undefined); // v -> label this._nodes = {}; @@ -4734,8 +4734,8 @@ class Graph { } /* === Node functions ========== */ setDefaultNodeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultNodeLabelFn = newDefault; return this; @@ -4744,24 +4744,24 @@ class Graph { return this._nodeCount; } nodes() { - return keys/* default */.Z(this._nodes); + return keys/* default */.c(this._nodes); } sources() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._in[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); }); } sinks() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._out[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); }); } setNodes(vs, value) { var args = arguments; var self = this; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (args.length > 1) { self.setNode(v, value); } else { @@ -4771,7 +4771,7 @@ class Graph { return this; } setNode(v, value) { - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { if (arguments.length > 1) { this._nodes[v] = value; } @@ -4796,11 +4796,11 @@ class Graph { return this._nodes[v]; } hasNode(v) { - return has/* default */.Z(this._nodes, v); + return has/* default */.c(this._nodes, v); } removeNode(v) { var self = this; - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { var removeEdge = function (e) { self.removeEdge(self._edgeObjs[e]); }; @@ -4808,15 +4808,15 @@ class Graph { if (this._isCompound) { this._removeFromParentsChildList(v); delete this._parent[v]; - forEach/* default */.Z(this.children(v), function (child) { + forEach/* default */.c(this.children(v), function (child) { self.setParent(child); }); delete this._children[v]; } - forEach/* default */.Z(keys/* default */.Z(this._in[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); delete this._in[v]; delete this._preds[v]; - forEach/* default */.Z(keys/* default */.Z(this._out[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); delete this._out[v]; delete this._sucs[v]; --this._nodeCount; @@ -4828,12 +4828,12 @@ class Graph { throw new Error('Cannot set parent in a non-compound graph'); } - if (isUndefined/* default */.Z(parent)) { + if (isUndefined/* default */.c(parent)) { parent = GRAPH_NODE; } else { // Coerce parent to string parent += ''; - for (var ancestor = parent; !isUndefined/* default */.Z(ancestor); ancestor = this.parent(ancestor)) { + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { if (ancestor === v) { throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); } @@ -4860,14 +4860,14 @@ class Graph { } } children(v) { - if (isUndefined/* default */.Z(v)) { + if (isUndefined/* default */.c(v)) { v = GRAPH_NODE; } if (this._isCompound) { var children = this._children[v]; if (children) { - return keys/* default */.Z(children); + return keys/* default */.c(children); } } else if (v === GRAPH_NODE) { return this.nodes(); @@ -4878,13 +4878,13 @@ class Graph { predecessors(v) { var predsV = this._preds[v]; if (predsV) { - return keys/* default */.Z(predsV); + return keys/* default */.c(predsV); } } successors(v) { var sucsV = this._sucs[v]; if (sucsV) { - return keys/* default */.Z(sucsV); + return keys/* default */.c(sucsV); } } neighbors(v) { @@ -4913,13 +4913,13 @@ class Graph { copy.setGraph(this.graph()); var self = this; - forEach/* default */.Z(this._nodes, function (value, v) { + forEach/* default */.c(this._nodes, function (value, v) { if (filter(v)) { copy.setNode(v, value); } }); - forEach/* default */.Z(this._edgeObjs, function (e) { + forEach/* default */.c(this._edgeObjs, function (e) { // @ts-expect-error if (copy.hasNode(e.v) && copy.hasNode(e.w)) { copy.setEdge(e, self.edge(e)); @@ -4940,7 +4940,7 @@ class Graph { } if (this._isCompound) { - forEach/* default */.Z(copy.nodes(), function (v) { + forEach/* default */.c(copy.nodes(), function (v) { copy.setParent(v, findParent(v)); }); } @@ -4949,8 +4949,8 @@ class Graph { } /* === Edge functions ========== */ setDefaultEdgeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultEdgeLabelFn = newDefault; return this; @@ -4959,12 +4959,12 @@ class Graph { return this._edgeCount; } edges() { - return values/* default */.Z(this._edgeObjs); + return values/* default */.c(this._edgeObjs); } setPath(vs, value) { var self = this; var args = arguments; - reduce/* default */.Z(vs, function (v, w) { + reduce/* default */.c(vs, function (v, w) { if (args.length > 1) { self.setEdge(v, w, value); } else { @@ -5003,19 +5003,19 @@ class Graph { v = '' + v; w = '' + w; - if (!isUndefined/* default */.Z(name)) { + if (!isUndefined/* default */.c(name)) { name = '' + name; } var e = edgeArgsToId(this._isDirected, v, w, name); - if (has/* default */.Z(this._edgeLabels, e)) { + if (has/* default */.c(this._edgeLabels, e)) { if (valueSpecified) { this._edgeLabels[e] = value; } return this; } - if (!isUndefined/* default */.Z(name) && !this._isMultigraph) { + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { throw new Error('Cannot set a named edge when isMultigraph = false'); } @@ -5053,7 +5053,7 @@ class Graph { arguments.length === 1 ? edgeObjToId(this._isDirected, arguments[0]) : edgeArgsToId(this._isDirected, v, w, name); - return has/* default */.Z(this._edgeLabels, e); + return has/* default */.c(this._edgeLabels, e); } removeEdge(v, w, name) { var e = @@ -5077,11 +5077,11 @@ class Graph { inEdges(v, u) { var inV = this._in[v]; if (inV) { - var edges = values/* default */.Z(inV); + var edges = values/* default */.c(inV); if (!u) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.v === u; }); } @@ -5089,11 +5089,11 @@ class Graph { outEdges(v, w) { var outV = this._out[v]; if (outV) { - var edges = values/* default */.Z(outV); + var edges = values/* default */.c(outV); if (!w) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.w === w; }); } @@ -5134,7 +5134,7 @@ function edgeArgsToId(isDirected, v_, w_, name) { v = w; w = tmp; } - return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.Z(name) ? DEFAULT_EDGE_NAME : name); + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); } function edgeArgsToObj(isDirected, v_, w_, name) { @@ -5159,14 +5159,14 @@ function edgeObjToId(isDirected, edgeObj) { /***/ }), -/***/ 45625: +/***/ 95536: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ k: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.k) +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) /* harmony export */ }); /* unused harmony export version */ -/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(52544); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); // Includes only the "core" of graphlib @@ -5178,17 +5178,17 @@ const version = '2.1.9-pre'; /***/ }), -/***/ 63001: +/***/ 34528: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _SetCache) + c: () => (/* binding */ _SetCache) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules -var _MapCache = __webpack_require__(37834); +var _MapCache = __webpack_require__(86320); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; @@ -5243,7 +5243,7 @@ function SetCache(values) { var index = -1, length = values == null ? 0 : values.length; - this.__data__ = new _MapCache/* default */.Z; + this.__data__ = new _MapCache/* default */.c; while (++index < length) { this.add(values[index]); } @@ -5258,11 +5258,11 @@ SetCache.prototype.has = _setCacheHas; /***/ }), -/***/ 76579: +/***/ 56812: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.forEach` for arrays without support for @@ -5290,11 +5290,11 @@ function arrayEach(array, iteratee) { /***/ }), -/***/ 68774: +/***/ 46091: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.filter` for arrays without support for @@ -5325,11 +5325,11 @@ function arrayFilter(array, predicate) { /***/ }), -/***/ 74073: +/***/ 1304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.map` for arrays without support for iteratee @@ -5356,11 +5356,11 @@ function arrayMap(array, iteratee) { /***/ }), -/***/ 58694: +/***/ 25072: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Appends the elements of `values` to `array`. @@ -5386,25 +5386,25 @@ function arrayPush(array, values) { /***/ }), -/***/ 48451: +/***/ 48492: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseClone) + c: () => (/* binding */ _baseClone) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js -var _arrayEach = __webpack_require__(76579); +var _arrayEach = __webpack_require__(56812); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js -var _copyObject = __webpack_require__(31899); +var _copyObject = __webpack_require__(58904); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js @@ -5419,13 +5419,13 @@ var keys = __webpack_require__(17179); * @returns {Object} Returns `object`. */ function baseAssign(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keys/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); } /* harmony default export */ const _baseAssign = (baseAssign); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js @@ -5440,17 +5440,17 @@ var keysIn = __webpack_require__(32957); * @returns {Object} Returns `object`. */ function baseAssignIn(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keysIn/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); } /* harmony default export */ const _baseAssignIn = (baseAssignIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js -var _cloneBuffer = __webpack_require__(91050); +var _cloneBuffer = __webpack_require__(86656); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js -var _copyArray = __webpack_require__(87215); +var _copyArray = __webpack_require__(32488); // EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js -var _getSymbols = __webpack_require__(95695); +var _getSymbols = __webpack_require__(10772); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js @@ -5464,17 +5464,17 @@ var _getSymbols = __webpack_require__(95695); * @returns {Object} Returns `object`. */ function copySymbols(source, object) { - return (0,_copyObject/* default */.Z)(source, (0,_getSymbols/* default */.Z)(source), object); + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); } /* harmony default export */ const _copySymbols = (copySymbols); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js -var _getPrototype = __webpack_require__(12513); +var _getPrototype = __webpack_require__(75388); // EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js -var stubArray = __webpack_require__(60532); +var stubArray = __webpack_require__(41716); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js @@ -5491,11 +5491,11 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(object) { +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { var result = []; while (object) { - (0,_arrayPush/* default */.Z)(result, (0,_getSymbols/* default */.Z)(object)); - object = (0,_getPrototype/* default */.Z)(object); + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); } return result; }; @@ -5515,15 +5515,15 @@ var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(objec * @returns {Object} Returns `object`. */ function copySymbolsIn(source, object) { - return (0,_copyObject/* default */.Z)(source, _getSymbolsIn(source), object); + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); } /* harmony default export */ const _copySymbolsIn = (copySymbolsIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js -var _baseGetAllKeys = __webpack_require__(63327); +var _baseGetAllKeys = __webpack_require__(30176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js @@ -5538,13 +5538,13 @@ var _baseGetAllKeys = __webpack_require__(63327); * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { - return (0,_baseGetAllKeys/* default */.Z)(object, keysIn/* default */.Z, _getSymbolsIn); + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); } /* harmony default export */ const _getAllKeysIn = (getAllKeysIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js /** Used for built-in method references. */ var objectProto = Object.prototype; @@ -5574,7 +5574,7 @@ function initCloneArray(array) { /* harmony default export */ const _initCloneArray = (initCloneArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js -var _cloneArrayBuffer = __webpack_require__(41884); +var _cloneArrayBuffer = __webpack_require__(40976); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js @@ -5587,7 +5587,7 @@ var _cloneArrayBuffer = __webpack_require__(41884); * @returns {Object} Returns the cloned data view. */ function cloneDataView(dataView, isDeep) { - var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.Z)(dataView.buffer) : dataView.buffer; + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); } @@ -5613,12 +5613,12 @@ function cloneRegExp(regexp) { /* harmony default export */ const _cloneRegExp = (cloneRegExp); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -5635,7 +5635,7 @@ function cloneSymbol(symbol) { /* harmony default export */ const _cloneSymbol = (cloneSymbol); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js -var _cloneTypedArray = __webpack_require__(12701); +var _cloneTypedArray = __webpack_require__(70552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js @@ -5681,7 +5681,7 @@ function initCloneByTag(object, tag, isDeep) { var Ctor = object.constructor; switch (tag) { case arrayBufferTag: - return (0,_cloneArrayBuffer/* default */.Z)(object); + return (0,_cloneArrayBuffer/* default */.c)(object); case boolTag: case dateTag: @@ -5693,7 +5693,7 @@ function initCloneByTag(object, tag, isDeep) { case float32Tag: case float64Tag: case int8Tag: case int16Tag: case int32Tag: case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: - return (0,_cloneTypedArray/* default */.Z)(object, isDeep); + return (0,_cloneTypedArray/* default */.c)(object, isDeep); case mapTag: return new Ctor; @@ -5716,13 +5716,13 @@ function initCloneByTag(object, tag, isDeep) { /* harmony default export */ const _initCloneByTag = (initCloneByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules -var _initCloneObject = __webpack_require__(73658); +var _initCloneObject = __webpack_require__(1684); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js @@ -5738,22 +5738,22 @@ var _baseIsMap_mapTag = '[object Map]'; * @returns {boolean} Returns `true` if `value` is a map, else `false`. */ function baseIsMap(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsMap_mapTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; } /* harmony default export */ const _baseIsMap = (baseIsMap); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); // EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js -var _nodeUtil = __webpack_require__(98351); +var _nodeUtil = __webpack_require__(17576); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js /* Node.js helper references. */ -var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; /** * Checks if `value` is classified as a `Map` object. @@ -5772,12 +5772,12 @@ var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; * _.isMap(new WeakMap); * // => false */ -var isMap = nodeIsMap ? (0,_baseUnary/* default */.Z)(nodeIsMap) : _baseIsMap; +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; /* harmony default export */ const lodash_es_isMap = (isMap); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js @@ -5793,7 +5793,7 @@ var _baseIsSet_setTag = '[object Set]'; * @returns {boolean} Returns `true` if `value` is a set, else `false`. */ function baseIsSet(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsSet_setTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; } /* harmony default export */ const _baseIsSet = (baseIsSet); @@ -5804,7 +5804,7 @@ function baseIsSet(value) { /* Node.js helper references. */ -var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; /** * Checks if `value` is classified as a `Set` object. @@ -5823,7 +5823,7 @@ var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; * _.isSet(new WeakSet); * // => false */ -var isSet = nodeIsSet ? (0,_baseUnary/* default */.Z)(nodeIsSet) : _baseIsSet; +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; /* harmony default export */ const lodash_es_isSet = (isSet); @@ -5929,24 +5929,24 @@ function baseClone(value, bitmask, customizer, key, object, stack) { if (result !== undefined) { return result; } - if (!(0,isObject/* default */.Z)(value)) { + if (!(0,isObject/* default */.c)(value)) { return value; } - var isArr = (0,isArray/* default */.Z)(value); + var isArr = (0,isArray/* default */.c)(value); if (isArr) { result = _initCloneArray(value); if (!isDeep) { - return (0,_copyArray/* default */.Z)(value, result); + return (0,_copyArray/* default */.c)(value, result); } } else { - var tag = (0,_getTag/* default */.Z)(value), + var tag = (0,_getTag/* default */.c)(value), isFunc = tag == funcTag || tag == genTag; - if ((0,isBuffer/* default */.Z)(value)) { - return (0,_cloneBuffer/* default */.Z)(value, isDeep); + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); } if (tag == objectTag || tag == argsTag || (isFunc && !object)) { - result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.Z)(value); + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); if (!isDeep) { return isFlat ? _copySymbolsIn(value, _baseAssignIn(result, value)) @@ -5960,7 +5960,7 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } } // Check for circular references and return its corresponding clone. - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); var stacked = stack.get(value); if (stacked) { return stacked; @@ -5978,17 +5978,17 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } var keysFunc = isFull - ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.Z) - : (isFlat ? keysIn/* default */.Z : keys/* default */.Z); + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); var props = isArr ? undefined : keysFunc(value); - (0,_arrayEach/* default */.Z)(props || value, function(subValue, key) { + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { if (props) { key = subValue; subValue = value[key]; } // Recursively populate clone (susceptible to call stack limits). - (0,_assignValue/* default */.Z)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); }); return result; } @@ -5998,19 +5998,19 @@ function baseClone(value, bitmask, customizer, key, object, stack) { /***/ }), -/***/ 49811: +/***/ 92816: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseEach) + c: () => (/* binding */ _baseEach) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js @@ -6027,7 +6027,7 @@ function createBaseEach(eachFunc, fromRight) { if (collection == null) { return collection; } - if (!(0,isArrayLike/* default */.Z)(collection)) { + if (!(0,isArrayLike/* default */.c)(collection)) { return eachFunc(collection, iteratee); } var length = collection.length, @@ -6057,18 +6057,18 @@ function createBaseEach(eachFunc, fromRight) { * @param {Function} iteratee The function invoked per iteration. * @returns {Array|Object} Returns `collection`. */ -var baseEach = _createBaseEach(_baseForOwn/* default */.Z); +var baseEach = _createBaseEach(_baseForOwn/* default */.c); /* harmony default export */ const _baseEach = (baseEach); /***/ }), -/***/ 21692: +/***/ 16428: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.findIndex` and `_.findLastIndex` without @@ -6098,30 +6098,30 @@ function baseFindIndex(array, predicate, fromIndex, fromRight) { /***/ }), -/***/ 10626: +/***/ 40571: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseFlatten) + c: () => (/* binding */ _baseFlatten) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules -var isArguments = __webpack_require__(29169); +var isArguments = __webpack_require__(59636); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js /** Built-in value references. */ -var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatSpreadable : undefined; +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; /** * Checks if `value` is a flattenable `arguments` object or array. @@ -6131,7 +6131,7 @@ var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatS * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { - return (0,isArray/* default */.Z)(value) || (0,isArguments/* default */.Z)(value) || + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } @@ -6166,7 +6166,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { - (0,_arrayPush/* default */.Z)(result, value); + (0,_arrayPush/* default */.c)(result, value); } } else if (!isStrict) { result[result.length] = value; @@ -6180,14 +6180,14 @@ function baseFlatten(array, depth, predicate, isStrict, result) { /***/ }), -/***/ 2693: +/***/ 79985: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(61395); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -6200,7 +6200,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { * @returns {Object} Returns `object`. */ function baseForOwn(object, iteratee) { - return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z); + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); @@ -6208,14 +6208,14 @@ function baseForOwn(object, iteratee) { /***/ }), -/***/ 13317: +/***/ 60604: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -6228,13 +6228,13 @@ function baseForOwn(object, iteratee) { * @returns {*} Returns the resolved value. */ function baseGet(object, path) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = 0, length = path.length; while (object != null && index < length) { - object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index++])]; + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; } return (index && index == length) ? object : undefined; } @@ -6244,14 +6244,14 @@ function baseGet(object, path) { /***/ }), -/***/ 63327: +/***/ 30176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(58694); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -6268,7 +6268,7 @@ function baseGet(object, path) { */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); - return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(result, symbolsFunc(object)); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); @@ -6276,19 +6276,19 @@ function baseGetAllKeys(object, keysFunc, symbolsFunc) { /***/ }), -/***/ 74765: +/***/ 91312: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseIteratee) + c: () => (/* binding */ _baseIteratee) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js /** * A specialized version of `_.some` for arrays without support for iteratee @@ -6315,7 +6315,7 @@ function arraySome(array, predicate) { /* harmony default export */ const _arraySome = (arraySome); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js @@ -6354,7 +6354,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { } var index = -1, result = true, - seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.Z : undefined; + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; stack.set(array, other); stack.set(other, array); @@ -6379,7 +6379,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { // Recursively compare arrays (susceptible to call stack limits). if (seen) { if (!_arraySome(other, function(othValue, othIndex) { - if (!(0,_cacheHas/* default */.Z)(seen, othIndex) && + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { return seen.push(othIndex); } @@ -6403,11 +6403,11 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalArrays = (equalArrays); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js -var _Uint8Array = __webpack_require__(84073); +var _Uint8Array = __webpack_require__(91392); // EXTERNAL MODULE: ./node_modules/lodash-es/eq.js -var eq = __webpack_require__(79651); +var eq = __webpack_require__(73048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js /** * Converts `map` to its key-value pairs. @@ -6429,7 +6429,7 @@ function mapToArray(map) { /* harmony default export */ const _mapToArray = (mapToArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js @@ -6457,7 +6457,7 @@ var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]'; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -6489,7 +6489,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case arrayBufferTag: if ((object.byteLength != other.byteLength) || - !equalFunc(new _Uint8Array/* default */.Z(object), new _Uint8Array/* default */.Z(other))) { + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { return false; } return true; @@ -6499,7 +6499,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case numberTag: // Coerce booleans to `1` or `0` and dates to milliseconds. // Invalid dates are coerced to `NaN`. - return (0,eq/* default */.Z)(+object, +other); + return (0,eq/* default */.c)(+object, +other); case errorTag: return object.name == other.name && object.message == other.message; @@ -6516,7 +6516,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case setTag: var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; - convert || (convert = _setToArray/* default */.Z); + convert || (convert = _setToArray/* default */.c); if (object.size != other.size && !isPartial) { return false; @@ -6545,7 +6545,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalByTag = (equalByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js @@ -6573,9 +6573,9 @@ var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; */ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, - objProps = (0,_getAllKeys/* default */.Z)(object), + objProps = (0,_getAllKeys/* default */.c)(object), objLength = objProps.length, - othProps = (0,_getAllKeys/* default */.Z)(other), + othProps = (0,_getAllKeys/* default */.c)(other), othLength = othProps.length; if (objLength != othLength && !isPartial) { @@ -6639,13 +6639,13 @@ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalObjects = (equalObjects); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules -var isTypedArray = __webpack_require__(18843); +var isTypedArray = __webpack_require__(93416); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js @@ -6685,10 +6685,10 @@ var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnPropert * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. */ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { - var objIsArr = (0,isArray/* default */.Z)(object), - othIsArr = (0,isArray/* default */.Z)(other), - objTag = objIsArr ? arrayTag : (0,_getTag/* default */.Z)(object), - othTag = othIsArr ? arrayTag : (0,_getTag/* default */.Z)(other); + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); objTag = objTag == argsTag ? objectTag : objTag; othTag = othTag == argsTag ? objectTag : othTag; @@ -6697,16 +6697,16 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { othIsObj = othTag == objectTag, isSameTag = objTag == othTag; - if (isSameTag && (0,isBuffer/* default */.Z)(object)) { - if (!(0,isBuffer/* default */.Z)(other)) { + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { return false; } objIsArr = true; objIsObj = false; } if (isSameTag && !objIsObj) { - stack || (stack = new _Stack/* default */.Z); - return (objIsArr || (0,isTypedArray/* default */.Z)(object)) + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); } @@ -6718,21 +6718,21 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other; - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); } } if (!isSameTag) { return false; } - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); } /* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js @@ -6755,7 +6755,7 @@ function baseIsEqual(value, other, bitmask, customizer, stack) { if (value === other) { return true; } - if (value == null || other == null || (!(0,isObjectLike/* default */.Z)(value) && !(0,isObjectLike/* default */.Z)(other))) { + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { return value !== value && other !== other; } return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); @@ -6810,7 +6810,7 @@ function baseIsMatch(object, source, matchData, customizer) { return false; } } else { - var stack = new _Stack/* default */.Z; + var stack = new _Stack/* default */.c; if (customizer) { var result = customizer(objValue, srcValue, key, object, source, stack); } @@ -6828,7 +6828,7 @@ function baseIsMatch(object, source, matchData, customizer) { /* harmony default export */ const _baseIsMatch = (baseIsMatch); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js @@ -6841,13 +6841,13 @@ var isObject = __webpack_require__(77226); * equality comparisons, else `false`. */ function isStrictComparable(value) { - return value === value && !(0,isObject/* default */.Z)(value); + return value === value && !(0,isObject/* default */.c)(value); } /* harmony default export */ const _isStrictComparable = (isStrictComparable); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js @@ -6860,7 +6860,7 @@ var keys = __webpack_require__(17179); * @returns {Array} Returns the match data of `object`. */ function getMatchData(object) { - var result = (0,keys/* default */.Z)(object), + var result = (0,keys/* default */.c)(object), length = result.length; while (length--) { @@ -6921,7 +6921,7 @@ function baseMatches(source) { /* harmony default export */ const _baseMatches = (baseMatches); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); ;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js @@ -6951,18 +6951,18 @@ var _baseGet = __webpack_require__(13317); * // => 'default' */ function get(object, path, defaultValue) { - var result = object == null ? undefined : (0,_baseGet/* default */.Z)(object, path); + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); return result === undefined ? defaultValue : result; } /* harmony default export */ const lodash_es_get = (get); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js @@ -6985,13 +6985,13 @@ var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, * @returns {Function} Returns the new spec function. */ function baseMatchesProperty(path, srcValue) { - if ((0,_isKey/* default */.Z)(path) && _isStrictComparable(srcValue)) { - return _matchesStrictComparable((0,_toKey/* default */.Z)(path), srcValue); + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); } return function(object) { var objValue = lodash_es_get(object, path); return (objValue === undefined && objValue === srcValue) - ? (0,hasIn/* default */.Z)(object, path) + ? (0,hasIn/* default */.c)(object, path) : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); }; } @@ -6999,9 +6999,9 @@ function baseMatchesProperty(path, srcValue) { /* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js @@ -7014,7 +7014,7 @@ var _baseProperty = __webpack_require__(54193); */ function basePropertyDeep(path) { return function(object) { - return (0,_baseGet/* default */.Z)(object, path); + return (0,_baseGet/* default */.c)(object, path); }; } @@ -7049,7 +7049,7 @@ function basePropertyDeep(path) { * // => [1, 2] */ function property(path) { - return (0,_isKey/* default */.Z)(path) ? (0,_baseProperty/* default */.Z)((0,_toKey/* default */.Z)(path)) : _basePropertyDeep(path); + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); } /* harmony default export */ const lodash_es_property = (property); @@ -7075,10 +7075,10 @@ function baseIteratee(value) { return value; } if (value == null) { - return identity/* default */.Z; + return identity/* default */.c; } if (typeof value == 'object') { - return (0,isArray/* default */.Z)(value) + return (0,isArray/* default */.c)(value) ? _baseMatchesProperty(value[0], value[1]) : _baseMatches(value); } @@ -7090,14 +7090,14 @@ function baseIteratee(value) { /***/ }), -/***/ 21018: +/***/ 90360: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(49811); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(92816); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -7111,9 +7111,9 @@ function baseIteratee(value) { */ function baseMap(collection, iteratee) { var index = -1, - result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? Array(collection.length) : []; + result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? Array(collection.length) : []; - (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(collection, function(value, key, collection) { + (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(collection, function(value, key, collection) { result[++index] = iteratee(value, key, collection); }); return result; @@ -7124,11 +7124,11 @@ function baseMap(collection, iteratee) { /***/ }), -/***/ 54193: +/***/ 60472: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.property` without support for deep paths. @@ -7148,11 +7148,11 @@ function baseProperty(key) { /***/ }), -/***/ 59548: +/***/ 5960: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if a `cache` value for `key` exists. @@ -7171,13 +7171,13 @@ function cacheHas(cache, key) { /***/ }), -/***/ 68882: +/***/ 12176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69203); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); /** @@ -7188,7 +7188,7 @@ function cacheHas(cache, key) { * @returns {Function} Returns cast function. */ function castFunction(value) { - return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z; + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); @@ -7196,21 +7196,21 @@ function castFunction(value) { /***/ }), -/***/ 22823: +/***/ 58356: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _castPath) + c: () => (/* binding */ _castPath) }); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js -var memoize = __webpack_require__(42454); +var memoize = __webpack_require__(30528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js @@ -7226,7 +7226,7 @@ var MAX_MEMOIZE_SIZE = 500; * @returns {Function} Returns the new memoized function. */ function memoizeCapped(func) { - var result = (0,memoize/* default */.Z)(func, function(key) { + var result = (0,memoize/* default */.c)(func, function(key) { if (cache.size === MAX_MEMOIZE_SIZE) { cache.clear(); } @@ -7269,7 +7269,7 @@ var stringToPath = _memoizeCapped(function(string) { /* harmony default export */ const _stringToPath = (stringToPath); // EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules -var lodash_es_toString = __webpack_require__(50751); +var lodash_es_toString = __webpack_require__(68019); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js @@ -7285,10 +7285,10 @@ var lodash_es_toString = __webpack_require__(50751); * @returns {Array} Returns the cast property path array. */ function castPath(value, object) { - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { return value; } - return (0,_isKey/* default */.Z)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.Z)(value)); + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); } /* harmony default export */ const _castPath = (castPath); @@ -7296,15 +7296,15 @@ function castPath(value, object) { /***/ }), -/***/ 1808: +/***/ 22980: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(63327); -/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95695); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -7317,7 +7317,7 @@ function castPath(value, object) { * @returns {Array} Returns the array of property names and symbols. */ function getAllKeys(object) { - return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z); + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); @@ -7325,14 +7325,14 @@ function getAllKeys(object) { /***/ }), -/***/ 95695: +/***/ 10772: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(68774); -/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(60532); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); @@ -7352,12 +7352,12 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z : function(object) { +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { if (object == null) { return []; } object = Object(object); - return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(nativeGetSymbols(object), function(symbol) { + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { return propertyIsEnumerable.call(object, symbol); }); }; @@ -7367,18 +7367,18 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ /***/ }), -/***/ 16174: +/***/ 18872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(29169); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27771); -/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(56009); -/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(1656); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -7396,14 +7396,14 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ * @returns {boolean} Returns `true` if `path` exists, else `false`. */ function hasPath(object, path, hasFunc) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = -1, length = path.length, result = false; while (++index < length) { - var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index]); + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); if (!(result = object != null && hasFunc(object, key))) { break; } @@ -7413,8 +7413,8 @@ function hasPath(object, path, hasFunc) { return result; } length = object == null ? 0 : object.length; - return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(key, length) && - ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .Z)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .Z)(object)); + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); @@ -7422,14 +7422,14 @@ function hasPath(object, path, hasFunc) { /***/ }), -/***/ 99365: +/***/ 27544: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72714); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); @@ -7446,12 +7446,12 @@ var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, * @returns {boolean} Returns `true` if `value` is a property name, else `false`. */ function isKey(value, object) { - if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return false; } var type = typeof value; if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value)) { + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { return true; } return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || @@ -7463,11 +7463,11 @@ function isKey(value, object) { /***/ }), -/***/ 6545: +/***/ 68872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Converts `set` to an array of its values. @@ -7491,13 +7491,13 @@ function setToArray(set) { /***/ }), -/***/ 62281: +/***/ 32128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(72714); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); /** Used as references for various `Number` constants. */ @@ -7511,7 +7511,7 @@ var INFINITY = 1 / 0; * @returns {string|symbol} Returns the key. */ function toKey(value) { - if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return value; } var result = (value + ''); @@ -7523,16 +7523,16 @@ function toKey(value) { /***/ }), -/***/ 3688: +/***/ 12804: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69581); -/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(79651); -/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(50439); -/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32957); +/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(34880); +/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(73048); +/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(15552); +/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(97000); @@ -7565,20 +7565,20 @@ var hasOwnProperty = objectProto.hasOwnProperty; * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 }); * // => { 'a': 1, 'b': 2 } */ -var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(function(object, sources) { +var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(function(object, sources) { object = Object(object); var index = -1; var length = sources.length; var guard = length > 2 ? sources[2] : undefined; - if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(sources[0], sources[1], guard)) { + if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(sources[0], sources[1], guard)) { length = 1; } while (++index < length) { var source = sources[index]; - var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(source); + var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(source); var propsIndex = -1; var propsLength = props.length; @@ -7587,7 +7587,7 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) var value = object[key]; if (value === undefined || - ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { + ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { object[key] = source[key]; } } @@ -7601,19 +7601,19 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) /***/ }), -/***/ 13445: +/***/ 55720: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_filter) + c: () => (/* binding */ lodash_es_filter) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js -var _arrayFilter = __webpack_require__(68774); +var _arrayFilter = __webpack_require__(46091); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js @@ -7627,7 +7627,7 @@ var _baseEach = __webpack_require__(49811); */ function baseFilter(collection, predicate) { var result = []; - (0,_baseEach/* default */.Z)(collection, function(value, index, collection) { + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { if (predicate(value, index, collection)) { result.push(value); } @@ -7638,9 +7638,9 @@ function baseFilter(collection, predicate) { /* harmony default export */ const _baseFilter = (baseFilter); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js @@ -7689,8 +7689,8 @@ var isArray = __webpack_require__(27771); * // => objects for ['fred', 'barney'] */ function filter(collection, predicate) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayFilter/* default */.Z : _baseFilter; - return func(collection, (0,_baseIteratee/* default */.Z)(predicate, 3)); + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); } /* harmony default export */ const lodash_es_filter = (filter); @@ -7698,13 +7698,13 @@ function filter(collection, predicate) { /***/ }), -/***/ 27961: +/***/ 9552: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(10626); +/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(40571); /** @@ -7723,7 +7723,7 @@ function filter(collection, predicate) { */ function flatten(array) { var length = array == null ? 0 : array.length; - return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(array, 1) : []; + return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(array, 1) : []; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (flatten); @@ -7731,16 +7731,16 @@ function flatten(array) { /***/ }), -/***/ 70870: +/***/ 50080: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(76579); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(49811); -/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(68882); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -7777,8 +7777,8 @@ function flatten(array) { * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forEach(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); @@ -7786,13 +7786,13 @@ function forEach(collection, iteratee) { /***/ }), -/***/ 17452: +/***/ 7248: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_has) + c: () => (/* binding */ lodash_es_has) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js @@ -7817,7 +7817,7 @@ function baseHas(object, key) { /* harmony default export */ const _baseHas = (baseHas); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js @@ -7850,7 +7850,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function has(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHas); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); } /* harmony default export */ const lodash_es_has = (has); @@ -7858,13 +7858,13 @@ function has(object, path) { /***/ }), -/***/ 75487: +/***/ 73556: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_hasIn) + c: () => (/* binding */ lodash_es_hasIn) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js @@ -7883,7 +7883,7 @@ function baseHasIn(object, key) { /* harmony default export */ const _baseHasIn = (baseHasIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js @@ -7915,7 +7915,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function hasIn(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHasIn); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); } /* harmony default export */ const lodash_es_hasIn = (hasIn); @@ -7923,14 +7923,14 @@ function hasIn(object, path) { /***/ }), -/***/ 72714: +/***/ 46380: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(93589); -/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(18533); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); @@ -7956,7 +7956,7 @@ var symbolTag = '[object Symbol]'; */ function isSymbol(value) { return typeof value == 'symbol' || - ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value) == symbolTag); + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); @@ -7964,11 +7964,11 @@ function isSymbol(value) { /***/ }), -/***/ 49360: +/***/ 60372: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if `value` is `undefined`. @@ -7996,15 +7996,15 @@ function isUndefined(value) { /***/ }), -/***/ 17179: +/***/ 62420: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(87668); -/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(39473); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -8038,7 +8038,7 @@ function isUndefined(value) { * // => ['0', '1'] */ function keys(object) { - return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(object); + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); @@ -8046,16 +8046,16 @@ function keys(object) { /***/ }), -/***/ 43836: +/***/ 92696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(74073); -/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(74765); -/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(21018); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(1304); +/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(91312); +/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(90360); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8104,8 +8104,8 @@ function keys(object) { * // => ['barney', 'fred'] */ function map(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee, 3)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee, 3)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (map); @@ -8113,27 +8113,27 @@ function map(collection, iteratee) { /***/ }), -/***/ 61666: +/***/ 95108: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_pick) + c: () => (/* binding */ lodash_es_pick) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_castPath.js + 2 modules -var _castPath = __webpack_require__(22823); +var _castPath = __webpack_require__(58356); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIndex.js -var _isIndex = __webpack_require__(56009); +var _isIndex = __webpack_require__(748); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSet.js @@ -8152,10 +8152,10 @@ var _toKey = __webpack_require__(62281); * @returns {Object} Returns `object`. */ function baseSet(object, path, value, customizer) { - if (!(0,isObject/* default */.Z)(object)) { + if (!(0,isObject/* default */.c)(object)) { return object; } - path = (0,_castPath/* default */.Z)(path, object); + path = (0,_castPath/* default */.c)(path, object); var index = -1, length = path.length, @@ -8163,7 +8163,7 @@ function baseSet(object, path, value, customizer) { nested = object; while (nested != null && ++index < length) { - var key = (0,_toKey/* default */.Z)(path[index]), + var key = (0,_toKey/* default */.c)(path[index]), newValue = value; if (key === '__proto__' || key === 'constructor' || key === 'prototype') { @@ -8174,12 +8174,12 @@ function baseSet(object, path, value, customizer) { var objValue = nested[key]; newValue = customizer ? customizer(objValue, key, nested) : undefined; if (newValue === undefined) { - newValue = (0,isObject/* default */.Z)(objValue) + newValue = (0,isObject/* default */.c)(objValue) ? objValue - : ((0,_isIndex/* default */.Z)(path[index + 1]) ? [] : {}); + : ((0,_isIndex/* default */.c)(path[index + 1]) ? [] : {}); } } - (0,_assignValue/* default */.Z)(nested, key, newValue); + (0,_assignValue/* default */.c)(nested, key, newValue); nested = nested[key]; } return object; @@ -8208,10 +8208,10 @@ function basePickBy(object, paths, predicate) { while (++index < length) { var path = paths[index], - value = (0,_baseGet/* default */.Z)(object, path); + value = (0,_baseGet/* default */.c)(object, path); if (predicate(value, path)) { - _baseSet(result, (0,_castPath/* default */.Z)(path, object), value); + _baseSet(result, (0,_castPath/* default */.c)(path, object), value); } } return result; @@ -8220,7 +8220,7 @@ function basePickBy(object, paths, predicate) { /* harmony default export */ const _basePickBy = (basePickBy); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePick.js @@ -8236,18 +8236,18 @@ var hasIn = __webpack_require__(75487); */ function basePick(object, paths) { return _basePickBy(object, paths, function(value, path) { - return (0,hasIn/* default */.Z)(object, path); + return (0,hasIn/* default */.c)(object, path); }); } /* harmony default export */ const _basePick = (basePick); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/_overRest.js + 1 modules -var _overRest = __webpack_require__(81211); +var _overRest = __webpack_require__(10648); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToString.js + 2 modules -var _setToString = __webpack_require__(27227); +var _setToString = __webpack_require__(99669); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_flatRest.js @@ -8261,7 +8261,7 @@ var _setToString = __webpack_require__(27227); * @returns {Function} Returns the new function. */ function flatRest(func) { - return (0,_setToString/* default */.Z)((0,_overRest/* default */.Z)(func, undefined, flatten/* default */.Z), func + ''); + return (0,_setToString/* default */.c)((0,_overRest/* default */.c)(func, undefined, flatten/* default */.c), func + ''); } /* harmony default export */ const _flatRest = (flatRest); @@ -8296,13 +8296,13 @@ var pick = _flatRest(function(object, paths) { /***/ }), -/***/ 74379: +/***/ 52264: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_range) + c: () => (/* binding */ lodash_es_range) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseRange.js @@ -8336,9 +8336,9 @@ function baseRange(start, end, step, fromRight) { /* harmony default export */ const _baseRange = (baseRange); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createRange.js @@ -8353,18 +8353,18 @@ var toFinite = __webpack_require__(94099); */ function createRange(fromRight) { return function(start, end, step) { - if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.Z)(start, end, step)) { + if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.c)(start, end, step)) { end = step = undefined; } // Ensure the sign of `-0` is preserved. - start = (0,toFinite/* default */.Z)(start); + start = (0,toFinite/* default */.c)(start); if (end === undefined) { end = start; start = 0; } else { - end = (0,toFinite/* default */.Z)(end); + end = (0,toFinite/* default */.c)(end); } - step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.Z)(step); + step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.c)(step); return _baseRange(start, end, step, fromRight); }; } @@ -8422,13 +8422,13 @@ var range = _createRange(); /***/ }), -/***/ 92344: +/***/ 90460: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_reduce) + c: () => (/* binding */ lodash_es_reduce) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js @@ -8460,9 +8460,9 @@ function arrayReduce(array, iteratee, accumulator, initAccum) { /* harmony default export */ const _arrayReduce = (arrayReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js /** * The base implementation of `_.reduce` and `_.reduceRight`, without support @@ -8489,7 +8489,7 @@ function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { /* harmony default export */ const _baseReduce = (baseReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js @@ -8535,10 +8535,10 @@ var isArray = __webpack_require__(27771); * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) */ function reduce(collection, iteratee, accumulator) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayReduce : _baseReduce, + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, initAccum = arguments.length < 3; - return func(collection, (0,_baseIteratee/* default */.Z)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.Z); + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); } /* harmony default export */ const lodash_es_reduce = (reduce); @@ -8546,11 +8546,11 @@ function reduce(collection, iteratee, accumulator) { /***/ }), -/***/ 60532: +/***/ 41716: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * This method returns a new empty array. @@ -8579,13 +8579,13 @@ function stubArray() { /***/ }), -/***/ 94099: +/***/ 92400: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toFinite) + c: () => (/* binding */ lodash_es_toFinite) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_trimmedEndIndex.js @@ -8631,9 +8631,9 @@ function baseTrim(string) { /* harmony default export */ const _baseTrim = (baseTrim); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toNumber.js @@ -8681,12 +8681,12 @@ function toNumber(value) { if (typeof value == 'number') { return value; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return NAN; } - if ((0,isObject/* default */.Z)(value)) { + if ((0,isObject/* default */.c)(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = (0,isObject/* default */.Z)(other) ? (other + '') : other; + value = (0,isObject/* default */.c)(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; @@ -8747,23 +8747,23 @@ function toFinite(value) { /***/ }), -/***/ 50751: +/***/ 68019: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toString) + c: () => (/* binding */ lodash_es_toString) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js @@ -8774,7 +8774,7 @@ var isSymbol = __webpack_require__(72714); var INFINITY = 1 / 0; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolToString = symbolProto ? symbolProto.toString : undefined; /** @@ -8790,11 +8790,11 @@ function baseToString(value) { if (typeof value == 'string') { return value; } - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { // Recursively convert values (susceptible to call stack limits). - return (0,_arrayMap/* default */.Z)(value, baseToString) + ''; + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return symbolToString ? symbolToString.call(value) : ''; } var result = (value + ''); @@ -8836,13 +8836,13 @@ function toString_toString(value) { /***/ }), -/***/ 66749: +/***/ 41696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50751); +/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(68019); /** Used to generate unique IDs. */ @@ -8867,7 +8867,7 @@ var idCounter = 0; */ function uniqueId(prefix) { var id = ++idCounter; - return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(prefix) + id; + return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(prefix) + id; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (uniqueId); @@ -8875,17 +8875,17 @@ function uniqueId(prefix) { /***/ }), -/***/ 34148: +/***/ 36: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_values) + c: () => (/* binding */ lodash_es_values) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js @@ -8900,7 +8900,7 @@ var _arrayMap = __webpack_require__(74073); * @returns {Object} Returns the array of property values. */ function baseValues(object, props) { - return (0,_arrayMap/* default */.Z)(props, function(key) { + return (0,_arrayMap/* default */.c)(props, function(key) { return object[key]; }); } @@ -8908,7 +8908,7 @@ function baseValues(object, props) { /* harmony default export */ const _baseValues = (baseValues); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js @@ -8940,7 +8940,7 @@ var keys = __webpack_require__(17179); * // => ['h', 'i'] */ function values(object) { - return object == null ? [] : _baseValues(object, (0,keys/* default */.Z)(object)); + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); } /* harmony default export */ const lodash_es_values = (values); @@ -8948,20 +8948,20 @@ function values(object) { /***/ }), -/***/ 59277: +/***/ 13452: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(60885); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(45625); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(24743); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(22424); +/* harmony import */ var _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(91300); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95536); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79010); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(57776); @@ -8989,27 +8989,27 @@ const idCache$1 = { keys, size }; -const drawStartState = (g) => g.append("circle").attr("class", "start-state").attr("r", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit).attr("cx", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit).attr("cy", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit); -const drawDivider = (g) => g.append("line").style("stroke", "grey").style("stroke-dasharray", "3").attr("x1", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight).attr("class", "divider").attr("x2", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight * 2).attr("y1", 0).attr("y2", 0); +const drawStartState = (g) => g.append("circle").attr("class", "start-state").attr("r", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit).attr("cx", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit).attr("cy", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit); +const drawDivider = (g) => g.append("line").style("stroke", "grey").style("stroke-dasharray", "3").attr("x1", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight).attr("class", "divider").attr("x2", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight * 2).attr("y1", 0).attr("y2", 0); const drawSimpleState = (g, stateDef) => { - const state = g.append("text").attr("x", 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("font-size", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.fontSize).attr("class", "state-title").text(stateDef.id); + const state = g.append("text").attr("x", 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("font-size", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.fontSize).attr("class", "state-title").text(stateDef.id); const classBox = state.node().getBBox(); - g.insert("rect", ":first-child").attr("x", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("width", classBox.width + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("height", classBox.height + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("rx", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.radius); + g.insert("rect", ":first-child").attr("x", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("width", classBox.width + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("height", classBox.height + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("rx", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.radius); return state; }; const drawDescrState = (g, stateDef) => { const addTspan = function(textEl, txt, isFirst2) { - const tSpan = textEl.append("tspan").attr("x", 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).text(txt); + const tSpan = textEl.append("tspan").attr("x", 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).text(txt); if (!isFirst2) { - tSpan.attr("dy", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight); + tSpan.attr("dy", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight); } }; - const title = g.append("text").attr("x", 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight + 1.3 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("font-size", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.fontSize).attr("class", "state-title").text(stateDef.descriptions[0]); + const title = g.append("text").attr("x", 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight + 1.3 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("font-size", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.fontSize).attr("class", "state-title").text(stateDef.descriptions[0]); const titleBox = title.node().getBBox(); const titleHeight = titleBox.height; - const description = g.append("text").attr("x", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr( + const description = g.append("text").attr("x", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr( "y", - titleHeight + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding * 0.4 + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.dividerMargin + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight + titleHeight + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding * 0.4 + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.dividerMargin + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight ).attr("class", "state-description"); let isFirst = true; let isSecond = true; @@ -9020,20 +9020,20 @@ const drawDescrState = (g, stateDef) => { } isFirst = false; }); - const descrLine = g.append("line").attr("x1", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y1", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + titleHeight + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.dividerMargin / 2).attr("y2", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + titleHeight + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.dividerMargin / 2).attr("class", "descr-divider"); + const descrLine = g.append("line").attr("x1", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y1", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + titleHeight + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.dividerMargin / 2).attr("y2", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + titleHeight + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.dividerMargin / 2).attr("class", "descr-divider"); const descrBox = description.node().getBBox(); const width = Math.max(descrBox.width, titleBox.width); - descrLine.attr("x2", width + 3 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding); - g.insert("rect", ":first-child").attr("x", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("width", width + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("height", descrBox.height + titleHeight + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("rx", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.radius); + descrLine.attr("x2", width + 3 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding); + g.insert("rect", ":first-child").attr("x", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("width", width + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("height", descrBox.height + titleHeight + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("rx", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.radius); return g; }; const addTitleAndBox = (g, stateDef, altBkg) => { - const pad = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding; - const dblPad = 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding; + const pad = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding; + const dblPad = 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding; const orgBox = g.node().getBBox(); const orgWidth = orgBox.width; const orgX = orgBox.x; - const title = g.append("text").attr("x", 0).attr("y", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.titleShift).attr("font-size", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.fontSize).attr("class", "state-title").text(stateDef.id); + const title = g.append("text").attr("x", 0).attr("y", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.titleShift).attr("font-size", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.fontSize).attr("class", "state-title").text(stateDef.id); const titleBox = title.node().getBBox(); const titleWidth = titleBox.width + dblPad; let width = Math.max(titleWidth, orgWidth); @@ -9051,10 +9051,10 @@ const addTitleAndBox = (g, stateDef, altBkg) => { if (Math.abs(orgX - graphBox.x) < pad && titleWidth > orgWidth) { startX = orgX - (titleWidth - orgWidth) / 2; } - const lineY = 1 - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight; + const lineY = 1 - (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight; g.insert("rect", ":first-child").attr("x", startX).attr("y", lineY).attr("class", altBkg ? "alt-composit" : "composit").attr("width", width).attr( "height", - graphBox.height + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.titleShift + 1 + graphBox.height + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.titleShift + 1 ).attr("rx", "0"); title.attr("x", startX + pad); if (titleWidth <= orgWidth) { @@ -9062,33 +9062,33 @@ const addTitleAndBox = (g, stateDef, altBkg) => { } g.insert("rect", ":first-child").attr("x", startX).attr( "y", - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.titleShift - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding - ).attr("width", width).attr("height", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight * 3).attr("rx", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.radius); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.titleShift - (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight - (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + ).attr("width", width).attr("height", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight * 3).attr("rx", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.radius); g.insert("rect", ":first-child").attr("x", startX).attr( "y", - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.titleShift - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding - ).attr("width", width).attr("height", graphBox.height + 3 + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight).attr("rx", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.radius); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.titleShift - (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight - (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + ).attr("width", width).attr("height", graphBox.height + 3 + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.textHeight).attr("rx", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.radius); return g; }; const drawEndState = (g) => { - g.append("circle").attr("class", "end-state-outer").attr("r", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.miniPadding).attr( + g.append("circle").attr("class", "end-state-outer").attr("r", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.miniPadding).attr( "cx", - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.miniPadding + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.miniPadding ).attr( "cy", - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.miniPadding + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.miniPadding ); - return g.append("circle").attr("class", "end-state-inner").attr("r", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit).attr("cx", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + 2).attr("cy", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + 2); + return g.append("circle").attr("class", "end-state-inner").attr("r", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit).attr("cx", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + 2).attr("cy", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.sizeUnit + 2); }; const drawForkJoinState = (g, stateDef) => { - let width = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.forkWidth; - let height = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.forkHeight; + let width = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.forkWidth; + let height = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.forkHeight; if (stateDef.parentId) { let tmp = width; width = height; height = tmp; } - return g.append("rect").style("stroke", "black").style("fill", "black").attr("width", width).attr("height", height).attr("x", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding); + return g.append("rect").style("stroke", "black").style("fill", "black").attr("width", width).attr("height", height).attr("x", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("y", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding); }; const _drawLongText = (_text, x, y, g) => { let textHeight = 0; @@ -9097,8 +9097,8 @@ const _drawLongText = (_text, x, y, g) => { textElem.attr("class", "noteText"); let text = _text.replace(/\r\n/g, "<br/>"); text = text.replace(/\n/g, "<br/>"); - const lines = text.split(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.e.lineBreakRegex); - let tHeight = 1.25 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin; + const lines = text.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.e.lineBreakRegex); + let tHeight = 1.25 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin; for (const line2 of lines) { const txt = line2.trim(); if (txt.length > 0) { @@ -9109,19 +9109,19 @@ const _drawLongText = (_text, x, y, g) => { tHeight += textBounds.height; } textHeight += tHeight; - span.attr("x", x + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin); - span.attr("y", y + textHeight + 1.25 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin); + span.attr("x", x + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin); + span.attr("y", y + textHeight + 1.25 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin); } } return { textWidth: textElem.node().getBBox().width, textHeight }; }; const drawNote = (text, g) => { g.attr("class", "state-note"); - const note = g.append("rect").attr("x", 0).attr("y", (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding); + const note = g.append("rect").attr("x", 0).attr("y", (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding); const rectElem = g.append("g"); const { textWidth, textHeight } = _drawLongText(text, 0, 0, rectElem); - note.attr("height", textHeight + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin); - note.attr("width", textWidth + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin * 2); + note.attr("height", textHeight + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin); + note.attr("width", textWidth + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.noteMargin * 2); return note; }; const drawState = function(elem, stateDef) { @@ -9155,8 +9155,8 @@ const drawState = function(elem, stateDef) { drawDescrState(g, stateDef); } const stateBox = g.node().getBBox(); - stateInfo.width = stateBox.width + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding; - stateInfo.height = stateBox.height + 2 * (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding; + stateInfo.width = stateBox.width + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding; + stateInfo.height = stateBox.height + 2 * (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding; idCache$1.set(id, stateInfo); return stateInfo; }; @@ -9164,38 +9164,38 @@ let edgeCount = 0; const drawEdge = function(elem, path, relation) { const getRelationType = function(type) { switch (type) { - case _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.AGGREGATION: + case _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.AGGREGATION: return "aggregation"; - case _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.EXTENSION: + case _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.EXTENSION: return "extension"; - case _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.COMPOSITION: + case _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.COMPOSITION: return "composition"; - case _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.DEPENDENCY: + case _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.DEPENDENCY: return "dependency"; } }; path.points = path.points.filter((p) => !Number.isNaN(p.y)); const lineData = path.points; - const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(function(d) { + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(function(d) { return d.x; }).y(function(d) { return d.y; - }).curve(d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .$0Z); + }).curve(d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .k7); const svgPath = elem.append("path").attr("d", lineFunction(lineData)).attr("id", "edge" + edgeCount).attr("class", "transition"); let url = ""; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.arrowMarkerAbsolute) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.arrowMarkerAbsolute) { url = window.location.protocol + "//" + window.location.host + window.location.pathname + window.location.search; url = url.replace(/\(/g, "\\("); url = url.replace(/\)/g, "\\)"); } svgPath.attr( "marker-end", - "url(" + url + "#" + getRelationType(_styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.DEPENDENCY) + "End)" + "url(" + url + "#" + getRelationType(_styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d.relationType.DEPENDENCY) + "End)" ); if (relation.title !== void 0) { const label = elem.append("g").attr("class", "stateLabel"); - const { x, y } = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.u.calcLabelPosition(path.points); - const rows = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.e.getRows(relation.title); + const { x, y } = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.u.calcLabelPosition(path.points); + const rows = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.e.getRows(relation.title); let titleHeight = 0; const titleRows = []; let maxWidth = 0; @@ -9205,11 +9205,11 @@ const drawEdge = function(elem, path, relation) { const boundstmp = title.node().getBBox(); maxWidth = Math.max(maxWidth, boundstmp.width); minX = Math.min(minX, boundstmp.x); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info(boundstmp.x, x, y + titleHeight); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info(boundstmp.x, x, y + titleHeight); if (titleHeight === 0) { const titleBox = title.node().getBBox(); titleHeight = titleBox.height; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Title height", titleHeight, y); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info("Title height", titleHeight, y); } titleRows.push(title); } @@ -9220,8 +9220,8 @@ const drawEdge = function(elem, path, relation) { boxHeight = titleHeight * rows.length; } const bounds = label.node().getBBox(); - label.insert("rect", ":first-child").attr("class", "box").attr("x", x - maxWidth / 2 - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding / 2).attr("y", y - boxHeight / 2 - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding / 2 - 3.5).attr("width", maxWidth + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("height", boxHeight + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.info(bounds); + label.insert("rect", ":first-child").attr("class", "box").attr("x", x - maxWidth / 2 - (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding / 2).attr("y", y - boxHeight / 2 - (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding / 2 - 3.5).attr("width", maxWidth + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding).attr("height", boxHeight + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state.padding); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.info(bounds); } edgeCount++; }; @@ -9233,15 +9233,15 @@ const insertMarkers = function(elem) { elem.append("defs").append("marker").attr("id", "dependencyEnd").attr("refX", 19).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 19,7 L9,13 L14,7 L9,1 Z"); }; const draw = function(text, id, _version, diagObj) { - conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().state; - const securityLevel = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.c)().securityLevel; + conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().state; + const securityLevel = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.c)().securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); const doc = securityLevel === "sandbox" ? sandboxElement.nodes()[0].contentDocument : document; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Rendering diagram " + text); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Rendering diagram " + text); const diagram2 = root.select(`[id='${id}']`); insertMarkers(diagram2); const rootDoc = diagObj.db.getRootDoc(); @@ -9251,7 +9251,7 @@ const draw = function(text, id, _version, diagObj) { const width = bounds.width + padding * 2; const height = bounds.height + padding * 2; const svgWidth = width * 1.75; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.i)(diagram2, height, svgWidth, conf.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.i)(diagram2, height, svgWidth, conf.useMaxWidth); diagram2.attr( "viewBox", `${bounds.x - conf.padding} ${bounds.y - conf.padding} ` + width + " " + height @@ -9261,7 +9261,7 @@ const getLabelWidth = (text) => { return text ? text.length * conf.fontSizeFactor : 1; }; const renderDoc = (doc, diagram2, parentId, altBkg, root, domDocument, diagObj) => { - const graph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .k({ + const graph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .M({ compound: true, multigraph: true }); @@ -9348,29 +9348,29 @@ const renderDoc = (doc, diagram2, parentId, altBkg, root, domDocument, diagObj) graph.setNode(node.id, node); } } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Count=", graph.nodeCount(), graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Count=", graph.nodeCount(), graph); let cnt = 0; relations.forEach(function(relation) { cnt++; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Setting edge", relation); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Setting edge", relation); graph.setEdge( relation.id1, relation.id2, { relation, width: getLabelWidth(relation.title), - height: conf.labelHeight * _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.e.getRows(relation.title).length, + height: conf.labelHeight * _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.e.getRows(relation.title).length, labelpos: "c" }, "id" + cnt ); }); - (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__/* .layout */ .bK)(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Graph after layout", graph.nodes()); + (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_1__/* .layout */ .cn)(graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Graph after layout", graph.nodes()); const svgElem = diagram2.node(); graph.nodes().forEach(function(v) { if (v !== void 0 && graph.node(v) !== void 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.warn("Node " + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.warn("Node " + v + ": " + JSON.stringify(graph.node(v))); root.select("#" + svgElem.id + " #" + v).attr( "transform", "translate(" + (graph.node(v).x - graph.node(v).width / 2) + "," + (graph.node(v).y + (transformationLog[v] ? transformationLog[v].y : 0) - graph.node(v).height / 2) + " )" @@ -9394,13 +9394,13 @@ const renderDoc = (doc, diagram2, parentId, altBkg, root, domDocument, diagObj) divider.setAttribute("x2", pWidth - pShift - 8); }); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("No Node " + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("No Node " + v + ": " + JSON.stringify(graph.node(v))); } }); let stateBox = svgElem.getBBox(); graph.edges().forEach(function(e) { if (e !== void 0 && graph.edge(e) !== void 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); drawEdge(diagram2, graph.edge(e), graph.edge(e).relation); } }); @@ -9413,7 +9413,7 @@ const renderDoc = (doc, diagram2, parentId, altBkg, root, domDocument, diagObj) }; stateInfo.width = stateBox.width + 2 * conf.padding; stateInfo.height = stateBox.height + 2 * conf.padding; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Doc rendered", stateInfo, graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_6__.l.debug("Doc rendered", stateInfo, graph); return stateInfo; }; const renderer = { @@ -9421,16 +9421,16 @@ const renderer = { draw }; const diagram = { - parser: _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.p, - db: _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d, + parser: _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.p, + db: _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d, renderer, - styles: _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.s, + styles: _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.s, init: (cnf) => { if (!cnf.state) { cnf.state = {}; } cnf.state.arrowMarkerAbsolute = cnf.arrowMarkerAbsolute; - _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d.clear(); + _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d.clear(); } }; @@ -9438,7 +9438,7 @@ const diagram = { /***/ }), -/***/ 60885: +/***/ 91300: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -9451,7 +9451,7 @@ const diagram = { /* harmony export */ p: () => (/* binding */ parser$1), /* harmony export */ s: () => (/* binding */ styles) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(24743); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(79010); var parser = function() { var o = function(k, v, o2, l) { @@ -10275,7 +10275,7 @@ const relationType = { }; const clone = (o) => JSON.parse(JSON.stringify(o)); const setRootDoc = (o) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting root doc", o); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting root doc", o); rootDoc = o; }; const getRootDoc = () => rootDoc; @@ -10309,7 +10309,7 @@ const docTranslator = (parent, node, first) => { if (doc.length > 0 && currentDoc.length > 0) { const newNode = { stmt: STMT_STATE, - id: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.G)(), + id: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.F)(), type: "divider", doc: clone(currentDoc) }; @@ -10331,9 +10331,9 @@ const extract = (_doc) => { } else { doc = _doc; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info(doc); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info(doc); clear(true); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Extract", doc); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Extract", doc); doc.forEach((item) => { switch (item.stmt) { case STMT_STATE: @@ -10363,7 +10363,7 @@ const extract = (_doc) => { const addState = function(id, type = DEFAULT_STATE_TYPE, doc = null, descr = null, note = null, classes2 = null, styles2 = null, textStyles = null) { const trimmedId = id == null ? void 0 : id.trim(); if (currentDocument.states[trimmedId] === void 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Adding state ", trimmedId, descr); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Adding state ", trimmedId, descr); currentDocument.states[trimmedId] = { id: trimmedId, descriptions: [], @@ -10383,7 +10383,7 @@ const addState = function(id, type = DEFAULT_STATE_TYPE, doc = null, descr = nul } } if (descr) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state description", trimmedId, descr); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state description", trimmedId, descr); if (typeof descr === "string") { addDescription(trimmedId, descr.trim()); } @@ -10393,23 +10393,23 @@ const addState = function(id, type = DEFAULT_STATE_TYPE, doc = null, descr = nul } if (note) { currentDocument.states[trimmedId].note = note; - currentDocument.states[trimmedId].note.text = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText( + currentDocument.states[trimmedId].note.text = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText( currentDocument.states[trimmedId].note.text, - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)() + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)() ); } if (classes2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state classes", trimmedId, classes2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state classes", trimmedId, classes2); const classesList = typeof classes2 === "string" ? [classes2] : classes2; classesList.forEach((klass) => setCssClass(trimmedId, klass.trim())); } if (styles2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state styles", trimmedId, styles2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state styles", trimmedId, styles2); const stylesList = typeof styles2 === "string" ? [styles2] : styles2; stylesList.forEach((style) => setStyle(trimmedId, style.trim())); } if (textStyles) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state styles", trimmedId, styles2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state styles", trimmedId, styles2); const textStylesList = typeof textStyles === "string" ? [textStyles] : textStyles; textStylesList.forEach((textStyle) => setTextStyle(trimmedId, textStyle.trim())); } @@ -10422,7 +10422,7 @@ const clear = function(saveCommon) { startEndCount = 0; classes = newClassesList(); if (!saveCommon) { - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.t)(); } }; const getState = function(id) { @@ -10432,7 +10432,7 @@ const getStates = function() { return currentDocument.states; }; const logDocuments = function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Documents = ", documents); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Documents = ", documents); }; const getRelations = function() { return currentDocument.relations; @@ -10487,7 +10487,7 @@ function addRelationObjs(item1, item2, relationTitle) { currentDocument.relations.push({ id1, id2, - relationTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(relationTitle, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)()) + relationTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(relationTitle, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)()) }); } const addRelation = function(item1, item2, title) { @@ -10503,14 +10503,14 @@ const addRelation = function(item1, item2, title) { currentDocument.relations.push({ id1, id2, - title: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(title, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)()) + title: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(title, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)()) }); } }; const addDescription = function(id, descr) { const theState = currentDocument.states[id]; const _descr = descr.startsWith(":") ? descr.replace(":", "").trim() : descr; - theState.descriptions.push(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(_descr, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)())); + theState.descriptions.push(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(_descr, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)())); }; const cleanupLabel = function(label) { if (label.substring(0, 1) === ":") { @@ -10572,7 +10572,7 @@ const setDirection = (dir) => { }; const trimColon = (str) => str && str[0] === ":" ? str.substr(1).trim() : str.trim(); const db = { - getConfig: () => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)().state, + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)().state, addState, clear, getState, @@ -10592,15 +10592,15 @@ const db = { getRootDocV2, extract, trimColon, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.g, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.s, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.b, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.g, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.s, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.b, addStyleClass, setCssClass, addDescription, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.r + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.r }; const getStyles = (options) => ` defs #statediagram-barbEnd { diff --git a/assets/js/4552.4cb2beca.js b/assets/js/4552.4cb2beca.js new file mode 100644 index 000000000..6c2e18f77 --- /dev/null +++ b/assets/js/4552.4cb2beca.js @@ -0,0 +1 @@ +"use 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S(t){const[e,o]=(0,i.useState)(!1);return i.createElement(E,{...t,isZoomed:e,onZoomChange:o})}b.defaultProps={a11yNameButtonUnzoom:"Minimize image",a11yNameButtonZoom:"Expand image",IconUnzoom:function(){return i.createElement("svg",{"aria-hidden":"true","data-rmiz-btn-unzoom-icon":!0,fill:"currentColor",focusable:"false",viewBox:"0 0 16 16",xmlns:"http://www.w3.org/2000/svg"},i.createElement("path",{d:"M 14.144531 1.148438 L 9 6.292969 L 9 3 L 8 3 L 8 8 L 13 8 L 13 7 L 9.707031 7 L 14.855469 1.851563 Z M 8 8 L 3 8 L 3 9 L 6.292969 9 L 1.148438 14.144531 L 1.851563 14.855469 L 7 9.707031 L 7 13 L 8 13 Z"}))},IconZoom:function(){return i.createElement("svg",{"aria-hidden":"true","data-rmiz-btn-zoom-icon":!0,fill:"currentColor",focusable:"false",viewBox:"0 0 16 16",xmlns:"http://www.w3.org/2000/svg"},i.createElement("path",{d:"M 9 1 L 9 2 L 12.292969 2 L 2 12.292969 L 2 9 L 1 9 L 1 14 L 6 14 L 6 13 L 2.707031 13 L 13 2.707031 L 13 6 L 14 6 L 14 1 Z"}))},wrapElement:"div",zoomMargin:0}}}]); \ No newline at end of file diff --git a/assets/js/622.3120e7a2.js b/assets/js/464.a3c150ca.js similarity index 97% rename from assets/js/622.3120e7a2.js rename to assets/js/464.a3c150ca.js index a75e54658..2aa219c0a 100644 --- a/assets/js/622.3120e7a2.js +++ b/assets/js/464.a3c150ca.js @@ -1,9 +1,9 @@ "use strict"; -exports.id = 622; -exports.ids = [622]; +exports.id = 464; +exports.ids = [464]; exports.modules = { -/***/ 85622: +/***/ 3464: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { @@ -12,10 +12,10 @@ __webpack_require__.d(__webpack_exports__, { diagram: () => (/* binding */ diagram) }); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); // EXTERNAL MODULE: ./node_modules/d3/src/index.js + 197 modules -var src = __webpack_require__(64218); +var src = __webpack_require__(37352); ;// CONCATENATED MODULE: ./node_modules/d3-sankey/node_modules/d3-array/src/min.js function min(values, valueof) { let min; @@ -738,12 +738,12 @@ function horizontalTarget(d) { } // EXTERNAL MODULE: ./node_modules/dayjs/dayjs.min.js -var dayjs_min = __webpack_require__(27484); +var dayjs_min = __webpack_require__(62264); // EXTERNAL MODULE: ./node_modules/@braintree/sanitize-url/dist/index.js -var dist = __webpack_require__(17967); +var dist = __webpack_require__(86208); // EXTERNAL MODULE: ./node_modules/dompurify/dist/purify.es.mjs -var purify_es = __webpack_require__(22424); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/sankeyDiagram-86f1d020.js +var purify_es = __webpack_require__(57776); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/sankeyDiagram-0acdec17.js @@ -1254,7 +1254,7 @@ const clear = () => { links = []; nodes = []; nodesMap = {}; - (0,mermaid_04fb0060.t)(); + (0,mermaid_0603ccf8.t)(); }; class SankeyLink { constructor(source, target, value = 0) { @@ -1272,7 +1272,7 @@ class SankeyNode { } } const findOrCreateNode = (ID) => { - ID = mermaid_04fb0060.e.sanitizeText(ID, (0,mermaid_04fb0060.c)()); + ID = mermaid_0603ccf8.e.sanitizeText(ID, (0,mermaid_0603ccf8.c)()); if (!nodesMap[ID]) { nodesMap[ID] = new SankeyNode(ID); nodes.push(nodesMap[ID]); @@ -1291,18 +1291,18 @@ const getGraph = () => ({ }); const db = { nodesMap, - getConfig: () => (0,mermaid_04fb0060.c)().sankey, + getConfig: () => (0,mermaid_0603ccf8.c)().sankey, getNodes, getLinks, getGraph, addLink, findOrCreateNode, - getAccTitle: mermaid_04fb0060.g, - setAccTitle: mermaid_04fb0060.s, - getAccDescription: mermaid_04fb0060.a, - setAccDescription: mermaid_04fb0060.b, - getDiagramTitle: mermaid_04fb0060.r, - setDiagramTitle: mermaid_04fb0060.q, + getAccTitle: mermaid_0603ccf8.g, + setAccTitle: mermaid_0603ccf8.s, + getAccDescription: mermaid_0603ccf8.a, + setAccDescription: mermaid_0603ccf8.b, + getDiagramTitle: mermaid_0603ccf8.r, + setDiagramTitle: mermaid_0603ccf8.q, clear }; const _Uid = class _Uid2 { @@ -1326,14 +1326,14 @@ const alignmentsMap = { justify: justify }; const draw = function(text, id, _version, diagObj) { - const { securityLevel, sankey: conf } = (0,mermaid_04fb0060.c)(); - const defaultSankeyConfig = mermaid_04fb0060.I.sankey; + const { securityLevel, sankey: conf } = (0,mermaid_0603ccf8.c)(); + const defaultSankeyConfig = mermaid_0603ccf8.H.sankey; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,src/* select */.Ys)("#i" + id); + sandboxElement = (0,src/* select */.MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,src/* select */.Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,src/* select */.Ys)("body"); - const svg = securityLevel === "sandbox" ? root.select(`[id="${id}"]`) : (0,src/* select */.Ys)(`[id="${id}"]`); + const root = securityLevel === "sandbox" ? (0,src/* select */.MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,src/* select */.MlD)("body"); + const svg = securityLevel === "sandbox" ? root.select(`[id="${id}"]`) : (0,src/* select */.MlD)(`[id="${id}"]`); const width = (conf == null ? void 0 : conf.width) ?? defaultSankeyConfig.width; const height = (conf == null ? void 0 : conf.height) ?? defaultSankeyConfig.width; const useMaxWidth = (conf == null ? void 0 : conf.useMaxWidth) ?? defaultSankeyConfig.useMaxWidth; @@ -1349,7 +1349,7 @@ const draw = function(text, id, _version, diagObj) { [width, height] ]); sankey$1(graph); - const colorScheme = (0,src/* scaleOrdinal */.PKp)(src/* schemeTableau10 */.K2I); + const colorScheme = (0,src/* scaleOrdinal */.knW)(src/* schemeTableau10 */.ovr); svg.append("g").attr("class", "nodes").selectAll(".node").data(graph.nodes).join("g").attr("class", "node").attr("id", (d) => (d.uid = Uid.next("node-")).id).attr("transform", function(d) { return "translate(" + d.x0 + "," + d.y0 + ")"; }).attr("x", (d) => d.x0).attr("y", (d) => d.y0).append("rect").attr("height", (d) => { @@ -1385,7 +1385,7 @@ ${prefix}${Math.round(value * 100) / 100}${suffix}`; coloring = linkColor; } link.append("path").attr("d", sankeyLinkHorizontal()).attr("stroke", coloring).attr("stroke-width", (d) => Math.max(1, d.width)); - (0,mermaid_04fb0060.o)(void 0, svg, 0, useMaxWidth); + (0,mermaid_0603ccf8.o)(void 0, svg, 0, useMaxWidth); }; const renderer = { draw diff --git a/assets/js/4641.650b3ff1.js b/assets/js/4641.650b3ff1.js deleted file mode 100644 index b261bf0f4..000000000 --- a/assets/js/4641.650b3ff1.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[4641],{94641:(t,e,s)=>{s.d(e,{d:()=>st,f:()=>et,p:()=>r});var u=s(64218),i=s(24743),n=function(){var t=function(t,e,s,u){for(s=s||{},u=t.length;u--;s[t[u]]=e);return 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115:this.$=n[a-4],u.updateLink([n[a-2]],n[a]);break;case 116:this.$=n[a-4],u.updateLink(n[a-2],n[a]);break;case 117:this.$=n[a-8],u.updateLinkInterpolate([n[a-6]],n[a-2]),u.updateLink([n[a-6]],n[a]);break;case 118:this.$=n[a-8],u.updateLinkInterpolate(n[a-6],n[a-2]),u.updateLink(n[a-6],n[a]);break;case 119:this.$=n[a-6],u.updateLinkInterpolate([n[a-4]],n[a]);break;case 120:this.$=n[a-6],u.updateLinkInterpolate(n[a-4],n[a]);break;case 122:case 124:n[a-2].push(n[a]),this.$=n[a-2];break;case 126:this.$=n[a-1]+n[a];break;case 175:case 177:this.$=n[a-1]+""+n[a];break;case 178:this.$={stmt:"dir",value:"TB"};break;case 179:this.$={stmt:"dir",value:"BT"};break;case 180:this.$={stmt:"dir",value:"RL"};break;case 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s=new Error(t);throw s.hash=e,s}this.trace(t)},parse:function(t){var e=this,s=[0],u=[],i=[null],n=[],r=this.table,a="",c=0,o=0,l=n.slice.call(arguments,1),h=Object.create(this.lexer),A={yy:{}};for(var d in this.yy)Object.prototype.hasOwnProperty.call(this.yy,d)&&(A.yy[d]=this.yy[d]);h.setInput(t,A.yy),A.yy.lexer=h,A.yy.parser=this,void 0===h.yylloc&&(h.yylloc={});var p=h.yylloc;n.push(p);var y=h.options&&h.options.ranges;"function"==typeof A.yy.parseError?this.parseError=A.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var E,f,g,k,D,b,F,T,C,_={};;){if(f=s[s.length-1],this.defaultActions[f]?g=this.defaultActions[f]:(null==E&&(C=void 0,"number"!=typeof(C=u.pop()||h.lex()||1)&&(C instanceof Array&&(C=(u=C).pop()),C=e.symbols_[C]||C),E=C),g=r[f]&&r[f][E]),void 0===g||!g.length||!g[0]){var B="";for(D in T=[],r[f])this.terminals_[D]&&D>2&&T.push("'"+this.terminals_[D]+"'");B=h.showPosition?"Parse error on line "+(c+1)+":\n"+h.showPosition()+"\nExpecting "+T.join(", ")+", got '"+(this.terminals_[E]||E)+"'":"Parse error on line "+(c+1)+": Unexpected "+(1==E?"end of input":"'"+(this.terminals_[E]||E)+"'"),this.parseError(B,{text:h.match,token:this.terminals_[E]||E,line:h.yylineno,loc:p,expected:T})}if(g[0]instanceof Array&&g.length>1)throw new Error("Parse Error: multiple actions possible at state: "+f+", token: "+E);switch(g[0]){case 1:s.push(E),i.push(h.yytext),n.push(h.yylloc),s.push(g[1]),E=null,o=h.yyleng,a=h.yytext,c=h.yylineno,p=h.yylloc;break;case 2:if(b=this.productions_[g[1]][1],_.$=i[i.length-b],_._$={first_line:n[n.length-(b||1)].first_line,last_line:n[n.length-1].last_line,first_column:n[n.length-(b||1)].first_column,last_column:n[n.length-1].last_column},y&&(_._$.range=[n[n.length-(b||1)].range[0],n[n.length-1].range[1]]),void 0!==(k=this.performAction.apply(_,[a,o,c,A.yy,g[1],i,n].concat(l))))return k;b&&(s=s.slice(0,-1*b*2),i=i.slice(0,-1*b),n=n.slice(0,-1*b)),s.push(this.productions_[g[1]][0]),i.push(_.$),n.push(_._$),F=r[s[s.length-2]][s[s.length-1]],s.push(F);break;case 3:return!0}}return!0}},qt={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,s=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var u=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),s.length-1&&(this.yylineno-=s.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:s?(s.length===u.length?this.yylloc.first_column:0)+u[u.length-s.length].length-s[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var s,u,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(u=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=u.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:u?u[u.length-1].length-u[u.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],s=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),s)return s;if(this._backtrack){for(var n in i)this[n]=i[n];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,s,u;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),n=0;n<i.length;n++)if((s=this._input.match(this.rules[i[n]]))&&(!e||s[0].length>e[0].length)){if(e=s,u=n,this.options.backtrack_lexer){if(!1!==(t=this.test_match(s,i[n])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,i[u]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,s,u){switch(s){case 0:return this.begin("acc_title"),34;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),36;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:case 8:case 11:case 14:case 17:case 27:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:this.begin("callbackname");break;case 9:this.popState(),this.begin("callbackargs");break;case 10:return 92;case 12:return 93;case 13:return"MD_STR";case 15:this.begin("md_string");break;case 16:return"STR";case 18:this.pushState("string");break;case 19:return 81;case 20:return 99;case 21:return 82;case 22:return 101;case 23:return 83;case 24:return 84;case 25:return 94;case 26:this.begin("click");break;case 28:return 85;case 29:case 30:case 31:return t.lex.firstGraph()&&this.begin("dir"),12;case 32:return 27;case 33:return 32;case 34:case 35:case 36:case 37:return 95;case 38:return this.popState(),13;case 39:case 40:case 41:case 42:case 43:case 44:case 45:case 46:case 47:case 48:return this.popState(),14;case 49:return 118;case 50:return 119;case 51:return 120;case 52:return 121;case 53:return 102;case 54:case 95:return 108;case 55:return 44;case 56:return 58;case 57:case 96:return 42;case 58:return 8;case 59:return 103;case 60:case 94:return 112;case 61:case 64:case 67:return this.popState(),75;case 62:return this.pushState("edgeText"),73;case 63:case 66:case 69:return 116;case 65:return this.pushState("thickEdgeText"),73;case 68:return this.pushState("dottedEdgeText"),73;case 70:return 75;case 71:return this.popState(),51;case 72:case 108:return"TEXT";case 73:return this.pushState("ellipseText"),50;case 74:return this.popState(),53;case 75:return this.pushState("text"),52;case 76:return this.popState(),55;case 77:return this.pushState("text"),54;case 78:return 56;case 79:return this.pushState("text"),65;case 80:return this.popState(),62;case 81:return this.pushState("text"),61;case 82:return this.popState(),47;case 83:return this.pushState("text"),46;case 84:return this.popState(),67;case 85:return this.popState(),69;case 86:return 114;case 87:return this.pushState("trapText"),66;case 88:return this.pushState("trapText"),68;case 89:return 115;case 90:return 65;case 91:return 87;case 92:return"SEP";case 93:return 86;case 97:return 106;case 98:return 111;case 99:return 113;case 100:return this.popState(),60;case 101:return this.pushState("text"),60;case 102:return this.popState(),49;case 103:return this.pushState("text"),48;case 104:return this.popState(),31;case 105:return this.pushState("text"),29;case 106:return this.popState(),64;case 107:return this.pushState("text"),63;case 109:return"QUOTE";case 110:return 9;case 111:return 10;case 112:return 11}},rules:[/^(?:accTitle\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*\{\s*)/,/^(?:[\}])/,/^(?:[^\}]*)/,/^(?:call[\s]+)/,/^(?:\([\s]*\))/,/^(?:\()/,/^(?:[^(]*)/,/^(?:\))/,/^(?:[^)]*)/,/^(?:[^`"]+)/,/^(?:[`]["])/,/^(?:["][`])/,/^(?:[^"]+)/,/^(?:["])/,/^(?:["])/,/^(?:style\b)/,/^(?:default\b)/,/^(?:linkStyle\b)/,/^(?:interpolate\b)/,/^(?:classDef\b)/,/^(?:class\b)/,/^(?:href[\s])/,/^(?:click[\s]+)/,/^(?:[\s\n])/,/^(?:[^\s\n]*)/,/^(?:flowchart-elk\b)/,/^(?:graph\b)/,/^(?:flowchart\b)/,/^(?:subgraph\b)/,/^(?:end\b\s*)/,/^(?:_self\b)/,/^(?:_blank\b)/,/^(?:_parent\b)/,/^(?:_top\b)/,/^(?:(\r?\n)*\s*\n)/,/^(?:\s*LR\b)/,/^(?:\s*RL\b)/,/^(?:\s*TB\b)/,/^(?:\s*BT\b)/,/^(?:\s*TD\b)/,/^(?:\s*BR\b)/,/^(?:\s*<)/,/^(?:\s*>)/,/^(?:\s*\^)/,/^(?:\s*v\b)/,/^(?:.*direction\s+TB[^\n]*)/,/^(?:.*direction\s+BT[^\n]*)/,/^(?:.*direction\s+RL[^\n]*)/,/^(?:.*direction\s+LR[^\n]*)/,/^(?:[0-9]+)/,/^(?:#)/,/^(?::::)/,/^(?::)/,/^(?:&)/,/^(?:;)/,/^(?:,)/,/^(?:\*)/,/^(?:\s*[xo<]?--+[-xo>]\s*)/,/^(?:\s*[xo<]?--\s*)/,/^(?:[^-]|-(?!-)+)/,/^(?:\s*[xo<]?==+[=xo>]\s*)/,/^(?:\s*[xo<]?==\s*)/,/^(?:[^=]|=(?!))/,/^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/,/^(?:\s*[xo<]?-\.\s*)/,/^(?:[^\.]|\.(?!))/,/^(?:\s*~~[\~]+\s*)/,/^(?:[-/\)][\)])/,/^(?:[^\(\)\[\]\{\}]|!\)+)/,/^(?:\(-)/,/^(?:\]\))/,/^(?:\(\[)/,/^(?:\]\])/,/^(?:\[\[)/,/^(?:\[\|)/,/^(?:>)/,/^(?:\)\])/,/^(?:\[\()/,/^(?:\)\)\))/,/^(?:\(\(\()/,/^(?:[\\(?=\])][\]])/,/^(?:\/(?=\])\])/,/^(?:\/(?!\])|\\(?!\])|[^\\\[\]\(\)\{\}\/]+)/,/^(?:\[\/)/,/^(?:\[\\)/,/^(?:<)/,/^(?:>)/,/^(?:\^)/,/^(?:\\\|)/,/^(?:v\b)/,/^(?:\*)/,/^(?:#)/,/^(?:&)/,/^(?:([A-Za-z0-9!"\#$%&'*+\.`?\\_\/]|-(?=[^\>\-\.])|(?!))+)/,/^(?:-)/,/^(?:[\u00AA\u00B5\u00BA\u00C0-\u00D6\u00D8-\u00F6]|[\u00F8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0370-\u0374\u0376\u0377]|[\u037A-\u037D\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5]|[\u03F7-\u0481\u048A-\u0527\u0531-\u0556\u0559\u0561-\u0587\u05D0-\u05EA]|[\u05F0-\u05F2\u0620-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06E5\u06E6\u06EE]|[\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA]|[\u07F4\u07F5\u07FA\u0800-\u0815\u081A\u0824\u0828\u0840-\u0858\u08A0]|[\u08A2-\u08AC\u0904-\u0939\u093D\u0950\u0958-\u0961\u0971-\u0977]|[\u0979-\u097F\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2]|[\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u0A05-\u0A0A]|[\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39]|[\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8]|[\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0B05-\u0B0C]|[\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C]|[\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99]|[\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0]|[\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C33\u0C35-\u0C39\u0C3D]|[\u0C58\u0C59\u0C60\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3]|[\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10]|[\u0D12-\u0D3A\u0D3D\u0D4E\u0D60\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1]|[\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E46\u0E81]|[\u0E82\u0E84\u0E87\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3]|[\u0EA5\u0EA7\u0EAA\u0EAB\u0EAD-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EC6]|[\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A]|[\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081]|[\u108E\u10A0-\u10C5\u10C7\u10CD\u10D0-\u10FA\u10FC-\u1248\u124A-\u124D]|[\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0]|[\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310]|[\u1312-\u1315\u1318-\u135A\u1380-\u138F\u13A0-\u13F4\u1401-\u166C]|[\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u1700-\u170C\u170E-\u1711]|[\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17D7]|[\u17DC\u1820-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191C]|[\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19C1-\u19C7\u1A00-\u1A16]|[\u1A20-\u1A54\u1AA7\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF]|[\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C7D\u1CE9-\u1CEC]|[\u1CEE-\u1CF1\u1CF5\u1CF6\u1D00-\u1DBF\u1E00-\u1F15\u1F18-\u1F1D]|[\u1F20-\u1F45\u1F48-\u1F4D\u1F50-\u1F57\u1F59\u1F5B\u1F5D\u1F5F-\u1F7D]|[\u1F80-\u1FB4\u1FB6-\u1FBC\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FCC\u1FD0-\u1FD3]|[\u1FD6-\u1FDB\u1FE0-\u1FEC\u1FF2-\u1FF4\u1FF6-\u1FFC\u2071\u207F]|[\u2090-\u209C\u2102\u2107\u210A-\u2113\u2115\u2119-\u211D\u2124\u2126\u2128]|[\u212A-\u212D\u212F-\u2139\u213C-\u213F\u2145-\u2149\u214E\u2183\u2184]|[\u2C00-\u2C2E\u2C30-\u2C5E\u2C60-\u2CE4\u2CEB-\u2CEE\u2CF2\u2CF3]|[\u2D00-\u2D25\u2D27\u2D2D\u2D30-\u2D67\u2D6F\u2D80-\u2D96\u2DA0-\u2DA6]|[\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE]|[\u2DD0-\u2DD6\u2DD8-\u2DDE\u2E2F\u3005\u3006\u3031-\u3035\u303B\u303C]|[\u3041-\u3096\u309D-\u309F\u30A1-\u30FA\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150}),this.cScale8=this.cScale8||c(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||c(this.primaryColor,{h:270}),this.cScale10=this.cScale10||c(this.primaryColor,{h:300}),this.cScale11=this.cScale11||c(this.primaryColor,{h:330}),this.darkMode)for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScale"+c]=(0,p.Z)(this["cScale"+c],75);else for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScale"+c]=(0,p.Z)(this["cScale"+c],25);for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScaleInv"+c]=this["cScaleInv"+c]||f(this["cScale"+c]);for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this.darkMode?this["cScalePeer"+c]=this["cScalePeer"+c]||(0,g.Z)(this["cScale"+c],10):this["cScalePeer"+c]=this["cScalePeer"+c]||(0,p.Z)(this["cScale"+c],10);this.scaleLabelColor=this.scaleLabelColor||this.labelTextColor;for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScaleLabel"+c]=this["cScaleLabel"+c]||this.scaleLabelColor;const d=this.darkMode?-4:-1;for(let f=0;f<5;f++)this["surface"+f]=this["surface"+f]||c(this.mainBkg,{h:180,s:-15,l:d*(5+3*f)}),this["surfacePeer"+f]=this["surfacePeer"+f]||c(this.mainBkg,{h:180,s:-15,l:d*(8+3*f)});this.classText=this.classText||this.textColor,this.fillType0=this.fillType0||this.primaryColor,this.fillType1=this.fillType1||this.secondaryColor,this.fillType2=this.fillType2||c(this.primaryColor,{h:64}),this.fillType3=this.fillType3||c(this.secondaryColor,{h:64}),this.fillType4=this.fillType4||c(this.primaryColor,{h:-64}),this.fillType5=this.fillType5||c(this.secondaryColor,{h:-64}),this.fillType6=this.fillType6||c(this.primaryColor,{h:128}),this.fillType7=this.fillType7||c(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||c(this.primaryColor,{l:-10}),this.pie5=this.pie5||c(this.secondaryColor,{l:-10}),this.pie6=this.pie6||c(this.tertiaryColor,{l:-10}),this.pie7=this.pie7||c(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||c(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||c(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||c(this.primaryColor,{h:60,l:-20}),this.pie11=this.pie11||c(this.primaryColor,{h:-60,l:-20}),this.pie12=this.pie12||c(this.primaryColor,{h:120,l:-10}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||c(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||c(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||c(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||c(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||c(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||c(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,y.Z)(this.quadrant1Fill)?(0,g.Z)(this.quadrant1Fill):(0,p.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:(null==(t=this.xyChart)?void 0:t.backgroundColor)||this.background,titleColor:(null==(e=this.xyChart)?void 0:e.titleColor)||this.primaryTextColor,xAxisTitleColor:(null==(i=this.xyChart)?void 0:i.xAxisTitleColor)||this.primaryTextColor,xAxisLabelColor:(null==(r=this.xyChart)?void 0:r.xAxisLabelColor)||this.primaryTextColor,xAxisTickColor:(null==(n=this.xyChart)?void 0:n.xAxisTickColor)||this.primaryTextColor,xAxisLineColor:(null==(o=this.xyChart)?void 0:o.xAxisLineColor)||this.primaryTextColor,yAxisTitleColor:(null==(a=this.xyChart)?void 0:a.yAxisTitleColor)||this.primaryTextColor,yAxisLabelColor:(null==(s=this.xyChart)?void 0:s.yAxisLabelColor)||this.primaryTextColor,yAxisTickColor:(null==(l=this.xyChart)?void 0:l.yAxisTickColor)||this.primaryTextColor,yAxisLineColor:(null==(h=this.xyChart)?void 0:h.yAxisLineColor)||this.primaryTextColor,plotColorPalette:(null==(u=this.xyChart)?void 0:u.plotColorPalette)||"#FFF4DD,#FFD8B1,#FFA07A,#ECEFF1,#D6DBDF,#C3E0A8,#FFB6A4,#FFD74D,#738FA7,#FFFFF0"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,p.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||c(this.primaryColor,{h:-30}),this.git4=this.git4||c(this.primaryColor,{h:-60}),this.git5=this.git5||c(this.primaryColor,{h:-90}),this.git6=this.git6||c(this.primaryColor,{h:60}),this.git7=this.git7||c(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)):(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)),this.gitInv0=this.gitInv0||f(this.git0),this.gitInv1=this.gitInv1||f(this.git1),this.gitInv2=this.gitInv2||f(this.git2),this.gitInv3=this.gitInv3||f(this.git3),this.gitInv4=this.gitInv4||f(this.git4),this.gitInv5=this.gitInv5||f(this.git5),this.gitInv6=this.gitInv6||f(this.git6),this.gitInv7=this.gitInv7||f(this.git7),this.branchLabelColor=this.branchLabelColor||(this.darkMode?"black":this.labelTextColor),this.gitBranchLabel0=this.gitBranchLabel0||this.branchLabelColor,this.gitBranchLabel1=this.gitBranchLabel1||this.branchLabelColor,this.gitBranchLabel2=this.gitBranchLabel2||this.branchLabelColor,this.gitBranchLabel3=this.gitBranchLabel3||this.branchLabelColor,this.gitBranchLabel4=this.gitBranchLabel4||this.branchLabelColor,this.gitBranchLabel5=this.gitBranchLabel5||this.branchLabelColor,this.gitBranchLabel6=this.gitBranchLabel6||this.branchLabelColor,this.gitBranchLabel7=this.gitBranchLabel7||this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||kt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||Tt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};let St=class{constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=(0,g.Z)(this.primaryColor,16),this.tertiaryColor=c(this.primaryColor,{h:-160}),this.primaryBorderColor=f(this.background),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=f(this.primaryColor),this.secondaryTextColor=f(this.secondaryColor),this.tertiaryTextColor=f(this.tertiaryColor),this.lineColor=f(this.background),this.textColor=f(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=(0,g.Z)(f("#323D47"),10),this.lineColor="calculated",this.border1="#81B1DB",this.border2=(0,u.Z)(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=(0,p.Z)("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=(0,p.Z)(this.sectionBkgColor,10),this.taskBorderColor=(0,u.Z)(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=(0,u.Z)(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){var t,e,i,r,n,o,a,s,l,h,u;this.secondBkg=(0,g.Z)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,g.Z)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,g.Z)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=c(this.primaryColor,{h:64}),this.fillType3=c(this.secondaryColor,{h:64}),this.fillType4=c(this.primaryColor,{h:-64}),this.fillType5=c(this.secondaryColor,{h:-64}),this.fillType6=c(this.primaryColor,{h:128}),this.fillType7=c(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||c(this.primaryColor,{h:30}),this.cScale4=this.cScale4||c(this.primaryColor,{h:60}),this.cScale5=this.cScale5||c(this.primaryColor,{h:90}),this.cScale6=this.cScale6||c(this.primaryColor,{h:120}),this.cScale7=this.cScale7||c(this.primaryColor,{h:150}),this.cScale8=this.cScale8||c(this.primaryColor,{h:210}),this.cScale9=this.cScale9||c(this.primaryColor,{h:270}),this.cScale10=this.cScale10||c(this.primaryColor,{h:300}),this.cScale11=this.cScale11||c(this.primaryColor,{h:330});for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScaleInv"+c]=this["cScaleInv"+c]||f(this["cScale"+c]);for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScalePeer"+c]=this["cScalePeer"+c]||(0,g.Z)(this["cScale"+c],10);for(let d=0;d<5;d++)this["surface"+d]=this["surface"+d]||c(this.mainBkg,{h:30,s:-30,l:-(4*d-10)}),this["surfacePeer"+d]=this["surfacePeer"+d]||c(this.mainBkg,{h:30,s:-30,l:-(4*d-7)});this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor);for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScaleLabel"+c]=this["cScaleLabel"+c]||this.scaleLabelColor;for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["pie"+c]=this["cScale"+c];this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||c(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||c(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||c(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||c(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||c(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||c(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,y.Z)(this.quadrant1Fill)?(0,g.Z)(this.quadrant1Fill):(0,p.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:(null==(t=this.xyChart)?void 0:t.backgroundColor)||this.background,titleColor:(null==(e=this.xyChart)?void 0:e.titleColor)||this.primaryTextColor,xAxisTitleColor:(null==(i=this.xyChart)?void 0:i.xAxisTitleColor)||this.primaryTextColor,xAxisLabelColor:(null==(r=this.xyChart)?void 0:r.xAxisLabelColor)||this.primaryTextColor,xAxisTickColor:(null==(n=this.xyChart)?void 0:n.xAxisTickColor)||this.primaryTextColor,xAxisLineColor:(null==(o=this.xyChart)?void 0:o.xAxisLineColor)||this.primaryTextColor,yAxisTitleColor:(null==(a=this.xyChart)?void 0:a.yAxisTitleColor)||this.primaryTextColor,yAxisLabelColor:(null==(s=this.xyChart)?void 0:s.yAxisLabelColor)||this.primaryTextColor,yAxisTickColor:(null==(l=this.xyChart)?void 0:l.yAxisTickColor)||this.primaryTextColor,yAxisLineColor:(null==(h=this.xyChart)?void 0:h.yAxisLineColor)||this.primaryTextColor,plotColorPalette:(null==(u=this.xyChart)?void 0:u.plotColorPalette)||"#3498db,#2ecc71,#e74c3c,#f1c40f,#bdc3c7,#ffffff,#34495e,#9b59b6,#1abc9c,#e67e22"},this.classText=this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,p.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,g.Z)(this.secondaryColor,20),this.git1=(0,g.Z)(this.pie2||this.secondaryColor,20),this.git2=(0,g.Z)(this.pie3||this.tertiaryColor,20),this.git3=(0,g.Z)(this.pie4||c(this.primaryColor,{h:-30}),20),this.git4=(0,g.Z)(this.pie5||c(this.primaryColor,{h:-60}),20),this.git5=(0,g.Z)(this.pie6||c(this.primaryColor,{h:-90}),10),this.git6=(0,g.Z)(this.pie7||c(this.primaryColor,{h:60}),10),this.git7=(0,g.Z)(this.pie8||c(this.primaryColor,{h:120}),20),this.gitInv0=this.gitInv0||f(this.git0),this.gitInv1=this.gitInv1||f(this.git1),this.gitInv2=this.gitInv2||f(this.git2),this.gitInv3=this.gitInv3||f(this.git3),this.gitInv4=this.gitInv4||f(this.git4),this.gitInv5=this.gitInv5||f(this.git5),this.gitInv6=this.gitInv6||f(this.git6),this.gitInv7=this.gitInv7||f(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||f(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||f(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||(0,g.Z)(this.background,12),this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||(0,g.Z)(this.background,2)}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};let Bt=class{constructor(){this.background="#f4f4f4",this.primaryColor="#ECECFF",this.secondaryColor=c(this.primaryColor,{h:120}),this.secondaryColor="#ffffde",this.tertiaryColor=c(this.primaryColor,{h:-160}),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=f(this.primaryColor),this.secondaryTextColor=f(this.secondaryColor),this.tertiaryTextColor=f(this.tertiaryColor),this.lineColor=f(this.background),this.textColor=f(this.background),this.background="white",this.mainBkg="#ECECFF",this.secondBkg="#ffffde",this.lineColor="#333333",this.border1="#9370DB",this.border2="#aaaa33",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#e8e8e8",this.textColor="#333",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="calculated",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="calculated",this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor="calculated",this.taskTextOutsideColor=this.taskTextDarkColor,this.taskTextClickableColor="calculated",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBorderColor="calculated",this.critBkgColor="calculated",this.todayLineColor="calculated",this.sectionBkgColor=(0,u.Z)(102,102,255,.49),this.altSectionBkgColor="white",this.sectionBkgColor2="#fff400",this.taskBorderColor="#534fbc",this.taskBkgColor="#8a90dd",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="#534fbc",this.activeTaskBkgColor="#bfc7ff",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222",this.updateColors()}updateColors(){var t,e,i,r,n,o,a,s,l,h,u;this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||c(this.primaryColor,{h:30}),this.cScale4=this.cScale4||c(this.primaryColor,{h:60}),this.cScale5=this.cScale5||c(this.primaryColor,{h:90}),this.cScale6=this.cScale6||c(this.primaryColor,{h:120}),this.cScale7=this.cScale7||c(this.primaryColor,{h:150}),this.cScale8=this.cScale8||c(this.primaryColor,{h:210}),this.cScale9=this.cScale9||c(this.primaryColor,{h:270}),this.cScale10=this.cScale10||c(this.primaryColor,{h:300}),this.cScale11=this.cScale11||c(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,p.Z)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,p.Z)(this.tertiaryColor,40);for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScale"+c]=(0,p.Z)(this["cScale"+c],10),this["cScalePeer"+c]=this["cScalePeer"+c]||(0,p.Z)(this["cScale"+c],25);for(let d=0;d<this.THEME_COLOR_LIMIT;d++)this["cScaleInv"+d]=this["cScaleInv"+d]||c(this["cScale"+d],{h:180});for(let d=0;d<5;d++)this["surface"+d]=this["surface"+d]||c(this.mainBkg,{h:30,l:-(5+5*d)}),this["surfacePeer"+d]=this["surfacePeer"+d]||c(this.mainBkg,{h:30,l:-(7+5*d)});if(this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor,"calculated"!==this.labelTextColor){this.cScaleLabel0=this.cScaleLabel0||f(this.labelTextColor),this.cScaleLabel3=this.cScaleLabel3||f(this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.labelTextColor}this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.textColor,this.edgeLabelBackground=this.labelBackground,this.actorBorder=(0,g.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.signalColor=this.textColor,this.signalTextColor=this.textColor,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=c(this.primaryColor,{h:64}),this.fillType3=c(this.secondaryColor,{h:64}),this.fillType4=c(this.primaryColor,{h:-64}),this.fillType5=c(this.secondaryColor,{h:-64}),this.fillType6=c(this.primaryColor,{h:128}),this.fillType7=c(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||c(this.tertiaryColor,{l:-40}),this.pie4=this.pie4||c(this.primaryColor,{l:-10}),this.pie5=this.pie5||c(this.secondaryColor,{l:-30}),this.pie6=this.pie6||c(this.tertiaryColor,{l:-20}),this.pie7=this.pie7||c(this.primaryColor,{h:60,l:-20}),this.pie8=this.pie8||c(this.primaryColor,{h:-60,l:-40}),this.pie9=this.pie9||c(this.primaryColor,{h:120,l:-40}),this.pie10=this.pie10||c(this.primaryColor,{h:60,l:-40}),this.pie11=this.pie11||c(this.primaryColor,{h:-90,l:-40}),this.pie12=this.pie12||c(this.primaryColor,{h:120,l:-30}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||c(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||c(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||c(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||c(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||c(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||c(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,y.Z)(this.quadrant1Fill)?(0,g.Z)(this.quadrant1Fill):(0,p.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:(null==(t=this.xyChart)?void 0:t.backgroundColor)||this.background,titleColor:(null==(e=this.xyChart)?void 0:e.titleColor)||this.primaryTextColor,xAxisTitleColor:(null==(i=this.xyChart)?void 0:i.xAxisTitleColor)||this.primaryTextColor,xAxisLabelColor:(null==(r=this.xyChart)?void 0:r.xAxisLabelColor)||this.primaryTextColor,xAxisTickColor:(null==(n=this.xyChart)?void 0:n.xAxisTickColor)||this.primaryTextColor,xAxisLineColor:(null==(o=this.xyChart)?void 0:o.xAxisLineColor)||this.primaryTextColor,yAxisTitleColor:(null==(a=this.xyChart)?void 0:a.yAxisTitleColor)||this.primaryTextColor,yAxisLabelColor:(null==(s=this.xyChart)?void 0:s.yAxisLabelColor)||this.primaryTextColor,yAxisTickColor:(null==(l=this.xyChart)?void 0:l.yAxisTickColor)||this.primaryTextColor,yAxisLineColor:(null==(h=this.xyChart)?void 0:h.yAxisLineColor)||this.primaryTextColor,plotColorPalette:(null==(u=this.xyChart)?void 0:u.plotColorPalette)||"#ECECFF,#8493A6,#FFC3A0,#DCDDE1,#B8E994,#D1A36F,#C3CDE6,#FFB6C1,#496078,#F8F3E3"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.labelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||c(this.primaryColor,{h:-30}),this.git4=this.git4||c(this.primaryColor,{h:-60}),this.git5=this.git5||c(this.primaryColor,{h:-90}),this.git6=this.git6||c(this.primaryColor,{h:60}),this.git7=this.git7||c(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)):(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)),this.gitInv0=this.gitInv0||(0,p.Z)(f(this.git0),25),this.gitInv1=this.gitInv1||f(this.git1),this.gitInv2=this.gitInv2||f(this.git2),this.gitInv3=this.gitInv3||f(this.git3),this.gitInv4=this.gitInv4||f(this.git4),this.gitInv5=this.gitInv5||f(this.git5),this.gitInv6=this.gitInv6||f(this.git6),this.gitInv7=this.gitInv7||f(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||f(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||f(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||kt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||Tt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};const Ft=t=>{const e=new Bt;return e.calculate(t),e};let At=class{constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=(0,g.Z)("#cde498",10),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=f(this.primaryColor),this.secondaryTextColor=f(this.secondaryColor),this.tertiaryTextColor=f(this.primaryColor),this.lineColor=f(this.background),this.textColor=f(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){var t,e,i,r,n,o,a,s,l,h,u;this.actorBorder=(0,p.Z)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||c(this.primaryColor,{h:30}),this.cScale4=this.cScale4||c(this.primaryColor,{h:60}),this.cScale5=this.cScale5||c(this.primaryColor,{h:90}),this.cScale6=this.cScale6||c(this.primaryColor,{h:120}),this.cScale7=this.cScale7||c(this.primaryColor,{h:150}),this.cScale8=this.cScale8||c(this.primaryColor,{h:210}),this.cScale9=this.cScale9||c(this.primaryColor,{h:270}),this.cScale10=this.cScale10||c(this.primaryColor,{h:300}),this.cScale11=this.cScale11||c(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,p.Z)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,p.Z)(this.tertiaryColor,40);for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScale"+c]=(0,p.Z)(this["cScale"+c],10),this["cScalePeer"+c]=this["cScalePeer"+c]||(0,p.Z)(this["cScale"+c],25);for(let d=0;d<this.THEME_COLOR_LIMIT;d++)this["cScaleInv"+d]=this["cScaleInv"+d]||c(this["cScale"+d],{h:180});this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor;for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScaleLabel"+c]=this["cScaleLabel"+c]||this.scaleLabelColor;for(let d=0;d<5;d++)this["surface"+d]=this["surface"+d]||c(this.mainBkg,{h:30,s:-30,l:-(5+5*d)}),this["surfacePeer"+d]=this["surfacePeer"+d]||c(this.mainBkg,{h:30,s:-30,l:-(8+5*d)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.taskBorderColor=this.border1,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=c(this.primaryColor,{h:64}),this.fillType3=c(this.secondaryColor,{h:64}),this.fillType4=c(this.primaryColor,{h:-64}),this.fillType5=c(this.secondaryColor,{h:-64}),this.fillType6=c(this.primaryColor,{h:128}),this.fillType7=c(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||c(this.primaryColor,{l:-30}),this.pie5=this.pie5||c(this.secondaryColor,{l:-30}),this.pie6=this.pie6||c(this.tertiaryColor,{h:40,l:-40}),this.pie7=this.pie7||c(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||c(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||c(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||c(this.primaryColor,{h:60,l:-50}),this.pie11=this.pie11||c(this.primaryColor,{h:-60,l:-50}),this.pie12=this.pie12||c(this.primaryColor,{h:120,l:-50}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||c(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||c(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||c(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||c(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||c(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||c(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,y.Z)(this.quadrant1Fill)?(0,g.Z)(this.quadrant1Fill):(0,p.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:(null==(t=this.xyChart)?void 0:t.backgroundColor)||this.background,titleColor:(null==(e=this.xyChart)?void 0:e.titleColor)||this.primaryTextColor,xAxisTitleColor:(null==(i=this.xyChart)?void 0:i.xAxisTitleColor)||this.primaryTextColor,xAxisLabelColor:(null==(r=this.xyChart)?void 0:r.xAxisLabelColor)||this.primaryTextColor,xAxisTickColor:(null==(n=this.xyChart)?void 0:n.xAxisTickColor)||this.primaryTextColor,xAxisLineColor:(null==(o=this.xyChart)?void 0:o.xAxisLineColor)||this.primaryTextColor,yAxisTitleColor:(null==(a=this.xyChart)?void 0:a.yAxisTitleColor)||this.primaryTextColor,yAxisLabelColor:(null==(s=this.xyChart)?void 0:s.yAxisLabelColor)||this.primaryTextColor,yAxisTickColor:(null==(l=this.xyChart)?void 0:l.yAxisTickColor)||this.primaryTextColor,yAxisLineColor:(null==(h=this.xyChart)?void 0:h.yAxisLineColor)||this.primaryTextColor,plotColorPalette:(null==(u=this.xyChart)?void 0:u.plotColorPalette)||"#CDE498,#FF6B6B,#A0D2DB,#D7BDE2,#F0F0F0,#FFC3A0,#7FD8BE,#FF9A8B,#FAF3E0,#FFF176"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||c(this.primaryColor,{h:-30}),this.git4=this.git4||c(this.primaryColor,{h:-60}),this.git5=this.git5||c(this.primaryColor,{h:-90}),this.git6=this.git6||c(this.primaryColor,{h:60}),this.git7=this.git7||c(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)):(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)),this.gitInv0=this.gitInv0||f(this.git0),this.gitInv1=this.gitInv1||f(this.git1),this.gitInv2=this.gitInv2||f(this.git2),this.gitInv3=this.gitInv3||f(this.git3),this.gitInv4=this.gitInv4||f(this.git4),this.gitInv5=this.gitInv5||f(this.git5),this.gitInv6=this.gitInv6||f(this.git6),this.gitInv7=this.gitInv7||f(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||f(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||f(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||kt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||Tt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};class Lt{constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=(0,g.Z)(this.contrast,55),this.background="#ffffff",this.tertiaryColor=c(this.primaryColor,{h:-160}),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=f(this.primaryColor),this.secondaryTextColor=f(this.secondaryColor),this.tertiaryTextColor=f(this.tertiaryColor),this.lineColor=f(this.background),this.textColor=f(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){var t,e,i,r,n,o,a,s,l,h,u;this.secondBkg=(0,g.Z)(this.contrast,55),this.border2=this.contrast,this.actorBorder=(0,g.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.lineColor,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScaleInv"+c]=this["cScaleInv"+c]||f(this["cScale"+c]);for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this.darkMode?this["cScalePeer"+c]=this["cScalePeer"+c]||(0,g.Z)(this["cScale"+c],10):this["cScalePeer"+c]=this["cScalePeer"+c]||(0,p.Z)(this["cScale"+c],10);this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor),this.cScaleLabel0=this.cScaleLabel0||this.cScale1,this.cScaleLabel2=this.cScaleLabel2||this.cScale1;for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["cScaleLabel"+c]=this["cScaleLabel"+c]||this.scaleLabelColor;for(let d=0;d<5;d++)this["surface"+d]=this["surface"+d]||c(this.mainBkg,{l:-(5+5*d)}),this["surfacePeer"+d]=this["surfacePeer"+d]||c(this.mainBkg,{l:-(8+5*d)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.text,this.sectionBkgColor=(0,g.Z)(this.contrast,30),this.sectionBkgColor2=(0,g.Z)(this.contrast,30),this.taskBorderColor=(0,p.Z)(this.contrast,10),this.taskBkgColor=this.contrast,this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=this.text,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.gridColor=(0,g.Z)(this.border1,30),this.doneTaskBkgColor=this.done,this.doneTaskBorderColor=this.lineColor,this.critBkgColor=this.critical,this.critBorderColor=(0,p.Z)(this.critBkgColor,10),this.todayLineColor=this.critBkgColor,this.transitionColor=this.transitionColor||"#000",this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f4f4f4",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.stateBorder=this.stateBorder||"#000",this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#222",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=c(this.primaryColor,{h:64}),this.fillType3=c(this.secondaryColor,{h:64}),this.fillType4=c(this.primaryColor,{h:-64}),this.fillType5=c(this.secondaryColor,{h:-64}),this.fillType6=c(this.primaryColor,{h:128}),this.fillType7=c(this.secondaryColor,{h:128});for(let c=0;c<this.THEME_COLOR_LIMIT;c++)this["pie"+c]=this["cScale"+c];this.pie12=this.pie0,this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||c(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||c(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||c(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||c(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||c(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||c(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,y.Z)(this.quadrant1Fill)?(0,g.Z)(this.quadrant1Fill):(0,p.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:(null==(t=this.xyChart)?void 0:t.backgroundColor)||this.background,titleColor:(null==(e=this.xyChart)?void 0:e.titleColor)||this.primaryTextColor,xAxisTitleColor:(null==(i=this.xyChart)?void 0:i.xAxisTitleColor)||this.primaryTextColor,xAxisLabelColor:(null==(r=this.xyChart)?void 0:r.xAxisLabelColor)||this.primaryTextColor,xAxisTickColor:(null==(n=this.xyChart)?void 0:n.xAxisTickColor)||this.primaryTextColor,xAxisLineColor:(null==(o=this.xyChart)?void 0:o.xAxisLineColor)||this.primaryTextColor,yAxisTitleColor:(null==(a=this.xyChart)?void 0:a.yAxisTitleColor)||this.primaryTextColor,yAxisLabelColor:(null==(s=this.xyChart)?void 0:s.yAxisLabelColor)||this.primaryTextColor,yAxisTickColor:(null==(l=this.xyChart)?void 0:l.yAxisTickColor)||this.primaryTextColor,yAxisLineColor:(null==(h=this.xyChart)?void 0:h.yAxisLineColor)||this.primaryTextColor,plotColorPalette:(null==(u=this.xyChart)?void 0:u.plotColorPalette)||"#EEE,#6BB8E4,#8ACB88,#C7ACD6,#E8DCC2,#FFB2A8,#FFF380,#7E8D91,#FFD8B1,#FAF3E0"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,p.Z)(this.pie1,25)||this.primaryColor,this.git1=this.pie2||this.secondaryColor,this.git2=this.pie3||this.tertiaryColor,this.git3=this.pie4||c(this.primaryColor,{h:-30}),this.git4=this.pie5||c(this.primaryColor,{h:-60}),this.git5=this.pie6||c(this.primaryColor,{h:-90}),this.git6=this.pie7||c(this.primaryColor,{h:60}),this.git7=this.pie8||c(this.primaryColor,{h:120}),this.gitInv0=this.gitInv0||f(this.git0),this.gitInv1=this.gitInv1||f(this.git1),this.gitInv2=this.gitInv2||f(this.git2),this.gitInv3=this.gitInv3||f(this.git3),this.gitInv4=this.gitInv4||f(this.git4),this.gitInv5=this.gitInv5||f(this.git5),this.gitInv6=this.gitInv6||f(this.git6),this.gitInv7=this.gitInv7||f(this.git7),this.branchLabelColor=this.branchLabelColor||this.labelTextColor,this.gitBranchLabel0=this.branchLabelColor,this.gitBranchLabel1="white",this.gitBranchLabel2=this.branchLabelColor,this.gitBranchLabel3="white",this.gitBranchLabel4=this.branchLabelColor,this.gitBranchLabel5=this.branchLabelColor,this.gitBranchLabel6=this.branchLabelColor,this.gitBranchLabel7=this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||kt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||Tt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}}const Mt={base:{getThemeVariables:t=>{const e=new wt;return e.calculate(t),e}},dark:{getThemeVariables:t=>{const e=new St;return e.calculate(t),e}},default:{getThemeVariables:Ft},forest:{getThemeVariables:t=>{const e=new At;return e.calculate(t),e}},neutral:{getThemeVariables:t=>{const e=new Lt;return e.calculate(t),e}}},Et={flowchart:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:8,htmlLabels:!0,nodeSpacing:50,rankSpacing:50,curve:"basis",padding:15,defaultRenderer:"dagre-wrapper",wrappingWidth:200},sequence:{useMaxWidth:!0,hideUnusedParticipants:!1,activationWidth:10,diagramMarginX:50,diagramMarginY:10,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",mirrorActors:!0,forceMenus:!1,bottomMarginAdj:1,rightAngles:!1,showSequenceNumbers:!1,actorFontSize:14,actorFontFamily:'"Open 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See the ",(0,s.jsx)(i.a,{href:"../cpc2_download",children:"download"})," page for more details."]}),"\n",(0,s.jsxs)(i.p,{children:["There will be three evaluation sets (",(0,s.jsx)(i.code,{children:"eval1"}),", ",(0,s.jsx)(i.code,{children:"eval2"})," and ",(0,s.jsx)(i.code,{children:"eval3"}),"), corresponding to the three three training data partitions. i.e., predictions for the ",(0,s.jsx)(i.code,{children:"eval1"})," set should be made with systems trained on the ",(0,s.jsx)(i.code,{children:"train1"})," partition; ",(0,s.jsx)(i.code,{children:"eval2"})," with ",(0,s.jsx)(i.code,{children:"train2"})," and ",(0,s.jsx)(i.code,{children:"eval3"})," with ",(0,s.jsx)(i.code,{children:"train3"}),"."]}),"\n",(0,s.jsx)(i.p,{children:"Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). 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name=\\"page-range-delimiter\\">\u2013</term><term name=\\"colon\\">:</term><term name=\\"comma\\">,</term><term name=\\"semicolon\\">;</term>\\n\x3c!-- ORDINALS --\x3e<term name=\\"ordinal\\">th</term><term name=\\"ordinal-01\\">st</term><term name=\\"ordinal-02\\">nd</term><term name=\\"ordinal-03\\">rd</term><term name=\\"ordinal-11\\">th</term><term name=\\"ordinal-12\\">th</term><term name=\\"ordinal-13\\">th</term>\\n\x3c!-- LONG ORDINALS --\x3e<term name=\\"long-ordinal-01\\">first</term><term name=\\"long-ordinal-02\\">second</term><term name=\\"long-ordinal-03\\">third</term><term name=\\"long-ordinal-04\\">fourth</term><term name=\\"long-ordinal-05\\">fifth</term><term name=\\"long-ordinal-06\\">sixth</term><term name=\\"long-ordinal-07\\">seventh</term><term name=\\"long-ordinal-08\\">eighth</term><term name=\\"long-ordinal-09\\">ninth</term><term name=\\"long-ordinal-10\\">tenth</term>\\n\x3c!-- LONG LOCATOR FORMS --\x3e<term name=\\"act\\">\\t\\t\\t 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name=\\"editor\\"><single>editor</single><multiple>editors</multiple></term><term name=\\"editorial-director\\"><single>editor</single><multiple>editors</multiple></term><term name=\\"illustrator\\"><single>illustrator</single><multiple>illustrators</multiple></term><term name=\\"translator\\"><single>translator</single><multiple>translators</multiple></term><term name=\\"editortranslator\\"><single>editor & translator</single><multiple>editors & translators</multiple></term>\\n\x3c!-- SHORT ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"short\\"><single>comp.</single><multiple>comps.</multiple></term><term name=\\"contributor\\" form=\\"short\\"><single>contrib.</single><multiple>contribs.</multiple></term><term name=\\"curator\\" form=\\"short\\"><single>cur.</single><multiple>curs.</multiple></term><term name=\\"executive-producer\\" form=\\"short\\"><single>exec. prod.</single><multiple>exec. prods.</multiple></term><term name=\\"narrator\\" form=\\"short\\"><single>narr.</single><multiple>narrs.</multiple></term><term name=\\"organizer\\" form=\\"short\\"><single>org.</single><multiple>orgs.</multiple></term><term name=\\"performer\\" form=\\"short\\"><single>perf.</single><multiple>perfs.</multiple></term><term name=\\"producer\\" form=\\"short\\"><single>prod.</single><multiple>prods.</multiple></term><term name=\\"script-writer\\" form=\\"short\\"><single>writ.</single><multiple>writs.</multiple></term><term name=\\"series-creator\\" form=\\"short\\"><single>cre.</single><multiple>cres.</multiple></term><term name=\\"director\\" form=\\"short\\"><single>dir.</single><multiple>dirs.</multiple></term><term name=\\"editor\\" form=\\"short\\"><single>ed.</single><multiple>eds.</multiple></term><term name=\\"editorial-director\\" form=\\"short\\"><single>ed.</single><multiple>eds.</multiple></term><term name=\\"illustrator\\" form=\\"short\\"><single>ill.</single><multiple>ills.</multiple></term><term name=\\"translator\\" form=\\"short\\"><single>tran.</single><multiple>trans.</multiple></term><term name=\\"editortranslator\\" form=\\"short\\"><single>ed. & tran.</single><multiple>eds. & trans.</multiple></term>\\n\x3c!-- VERB ROLE FORMS --\x3e<term name=\\"chair\\" form=\\"verb\\">chaired by</term><term name=\\"compiler\\" form=\\"verb\\">compiled by</term><term name=\\"contributor\\" form=\\"verb\\">with</term><term name=\\"curator\\" form=\\"verb\\">curated by</term><term name=\\"executive-producer\\" form=\\"verb\\">executive produced by</term><term name=\\"guest\\" form=\\"verb\\">with guest</term><term name=\\"host\\" form=\\"verb\\">hosted by</term><term name=\\"narrator\\" form=\\"verb\\">narrated by</term><term name=\\"organizer\\" form=\\"verb\\">organized by</term><term name=\\"performer\\" form=\\"verb\\">performed by</term><term name=\\"producer\\" form=\\"verb\\">produced by</term><term name=\\"script-writer\\" form=\\"verb\\">written by</term><term name=\\"series-creator\\" form=\\"verb\\">created by</term><term name=\\"container-author\\" form=\\"verb\\">by</term><term name=\\"director\\" form=\\"verb\\">directed by</term><term name=\\"editor\\" form=\\"verb\\">edited by</term><term name=\\"editorial-director\\" form=\\"verb\\">edited by</term><term name=\\"illustrator\\" form=\\"verb\\">illustrated by</term><term name=\\"interviewer\\" form=\\"verb\\">interview by</term><term name=\\"recipient\\" form=\\"verb\\">to</term><term name=\\"reviewed-author\\" form=\\"verb\\">by</term><term name=\\"translator\\" form=\\"verb\\">translated by</term><term name=\\"editortranslator\\" form=\\"verb\\">edited & translated by</term>\\n\x3c!-- SHORT VERB ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"verb-short\\">comp. by</term><term name=\\"contributor\\" form=\\"verb-short\\">w.</term><term name=\\"curator\\" form=\\"verb-short\\">cur. by</term><term name=\\"executive-producer\\" form=\\"verb-short\\">exec. prod. by</term><term name=\\"guest\\" form=\\"verb-short\\">w. guest</term><term name=\\"host\\" form=\\"verb-short\\">hosted by</term><term name=\\"narrator\\" form=\\"verb-short\\">narr. by</term><term name=\\"organizer\\" form=\\"verb-short\\">org. by</term><term name=\\"performer\\" form=\\"verb-short\\">perf. by</term><term name=\\"producer\\" form=\\"verb-short\\">prod. by</term><term name=\\"script-writer\\" form=\\"verb-short\\">writ. by</term><term name=\\"series-creator\\" form=\\"verb-short\\">cre. by</term><term name=\\"director\\" form=\\"verb-short\\">dir. by</term><term name=\\"editor\\" form=\\"verb-short\\">ed. by</term><term name=\\"editorial-director\\" form=\\"verb-short\\">ed. by</term><term name=\\"illustrator\\" form=\\"verb-short\\">illus. by</term><term name=\\"translator\\" form=\\"verb-short\\">trans. by</term><term name=\\"editortranslator\\" form=\\"verb-short\\">ed. & trans. by</term>\\n\x3c!-- LONG MONTH FORMS --\x3e<term name=\\"month-01\\">January</term><term name=\\"month-02\\">February</term><term name=\\"month-03\\">March</term><term name=\\"month-04\\">April</term><term name=\\"month-05\\">May</term><term name=\\"month-06\\">June</term><term name=\\"month-07\\">July</term><term name=\\"month-08\\">August</term><term name=\\"month-09\\">September</term><term name=\\"month-10\\">October</term><term name=\\"month-11\\">November</term><term name=\\"month-12\\">December</term>\\n\x3c!-- SHORT MONTH FORMS --\x3e<term name=\\"month-01\\" form=\\"short\\">Jan.</term><term name=\\"month-02\\" form=\\"short\\">Feb.</term><term name=\\"month-03\\" form=\\"short\\">Mar.</term><term name=\\"month-04\\" form=\\"short\\">Apr.</term><term name=\\"month-05\\" form=\\"short\\">May</term><term name=\\"month-06\\" form=\\"short\\">Jun.</term><term name=\\"month-07\\" form=\\"short\\">Jul.</term><term name=\\"month-08\\" form=\\"short\\">Aug.</term><term name=\\"month-09\\" form=\\"short\\">Sep.</term><term name=\\"month-10\\" form=\\"short\\">Oct.</term><term name=\\"month-11\\" form=\\"short\\">Nov.</term><term name=\\"month-12\\" form=\\"short\\">Dec.</term>\\n\x3c!-- SEASONS --\x3e<term name=\\"season-01\\">Spring</term><term name=\\"season-02\\">Summer</term><term name=\\"season-03\\">Autumn</term><term name=\\"season-04\\">Winter</term></terms>\\n</locale>\\n","nl-NL":"<?xml version=\\"1.0\\" encoding=\\"utf-8\\"?>\\n<locale xmlns=\\"http://purl.org/net/xbiblio/csl\\" version=\\"1.0\\" xml:lang=\\"nl-NL\\"><info><translator><name>Rintze M. Zelle</name><uri>http://twitter.com/rintzezelle</uri></translator><rights license=\\"http://creativecommons.org/licenses/by-sa/3.0/\\">This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 License</rights><updated>2017-04-01T12:00:00+00:00</updated></info><style-options punctuation-in-quote=\\"false\\"/><date form=\\"text\\"><date-part name=\\"day\\" suffix=\\" \\"/><date-part name=\\"month\\" suffix=\\" \\"/><date-part name=\\"year\\"/></date><date form=\\"numeric\\"><date-part name=\\"day\\" suffix=\\"-\\" range-delimiter=\\"/\\"/><date-part name=\\"month\\" form=\\"numeric\\" suffix=\\"-\\" range-delimiter=\\"/\\"/><date-part name=\\"year\\"/></date><terms><term name=\\"advance-online-publication\\">advance online publication</term><term name=\\"album\\">album</term><term name=\\"audio-recording\\">audio recording</term><term name=\\"film\\">film</term><term name=\\"henceforth\\">henceforth</term><term name=\\"loc-cit\\">loc. cit.</term> \x3c!-- like ibid., the abbreviated form is the regular form --\x3e<term name=\\"no-place\\">no place</term><term name=\\"no-place\\" form=\\"short\\">n.p.</term><term name=\\"no-publisher\\">no publisher</term> \x3c!-- sine nomine --\x3e<term name=\\"no-publisher\\" form=\\"short\\">n.p.</term><term name=\\"on\\">on</term><term name=\\"op-cit\\">op. cit.</term> \x3c!-- like ibid., the abbreviated form is the regular form --\x3e<term name=\\"original-work-published\\">original work published</term><term name=\\"personal-communication\\">persoonlijke communicatie</term><term name=\\"podcast\\">podcast</term><term name=\\"podcast-episode\\">podcast episode</term><term name=\\"preprint\\">preprint</term><term name=\\"radio-broadcast\\">radio broadcast</term><term name=\\"radio-series\\">radio series</term><term name=\\"radio-series-episode\\">radio series episode</term><term name=\\"special-issue\\">special issue</term><term name=\\"special-section\\">special section</term><term name=\\"television-broadcast\\">television broadcast</term><term name=\\"television-series\\">television series</term><term name=\\"television-series-episode\\">television series episode</term><term name=\\"video\\">video</term><term name=\\"working-paper\\">working paper</term><term name=\\"accessed\\">geraadpleegd</term><term name=\\"and\\">en</term><term name=\\"and others\\">en anderen</term><term name=\\"anonymous\\">anoniem</term><term name=\\"anonymous\\" form=\\"short\\">anon.</term><term name=\\"at\\">bij</term><term name=\\"available at\\">beschikbaar op</term><term name=\\"by\\">door</term><term name=\\"circa\\">circa</term><term name=\\"circa\\" form=\\"short\\">c.</term><term name=\\"cited\\">geciteerd</term><term name=\\"edition\\"><single>druk</single><multiple>drukken</multiple></term><term name=\\"edition\\" form=\\"short\\">dr.</term><term name=\\"et-al\\">e.a.</term><term name=\\"forthcoming\\">in voorbereiding</term><term name=\\"from\\">van</term><term name=\\"ibid\\">ibid.</term><term name=\\"in\\">in</term><term name=\\"in press\\">in druk</term><term name=\\"internet\\">internet</term><term name=\\"interview\\">interview</term><term name=\\"letter\\">brief</term><term name=\\"no date\\">zonder datum</term><term name=\\"no date\\" form=\\"short\\">z.d.</term><term name=\\"online\\">online</term><term name=\\"presented at\\">gepresenteerd bij</term><term name=\\"reference\\"><single>referentie</single><multiple>referenties</multiple></term><term name=\\"reference\\" form=\\"short\\"><single>ref.</single><multiple>refs.</multiple></term><term name=\\"retrieved\\">geraadpleegd</term><term name=\\"scale\\">schaal</term><term name=\\"version\\">versie</term>\\n\x3c!-- LONG ITEM TYPE FORMS --\x3e<term name=\\"article\\">preprint</term><term name=\\"article-journal\\">journal article</term><term name=\\"article-magazine\\">magazine article</term><term name=\\"article-newspaper\\">newspaper article</term><term name=\\"bill\\">bill</term><term name=\\"book\\">book</term><term name=\\"broadcast\\">broadcast</term><term name=\\"chapter\\">book chapter</term><term name=\\"classic\\">classic</term><term name=\\"collection\\">collection</term><term name=\\"dataset\\">dataset</term><term name=\\"document\\">document</term><term name=\\"entry\\">entry</term><term name=\\"entry-dictionary\\">dictionary entry</term><term name=\\"entry-encyclopedia\\">encyclopedia entry</term><term name=\\"event\\">event</term>\x3c!-- figure is in the list of locator terms --\x3e<term name=\\"graphic\\">graphic</term><term name=\\"hearing\\">hearing</term><term name=\\"interview\\">interview</term><term name=\\"legal_case\\">legal case</term><term name=\\"legislation\\">legislation</term><term name=\\"manuscript\\">manuscript</term><term name=\\"map\\">map</term><term name=\\"motion_picture\\">video recording</term><term name=\\"musical_score\\">musical score</term><term name=\\"pamphlet\\">pamphlet</term><term name=\\"paper-conference\\">conference paper</term><term name=\\"patent\\">patent</term><term name=\\"performance\\">performance</term><term name=\\"periodical\\">periodical</term><term name=\\"personal_communication\\">persoonlijke communicatie</term><term name=\\"post\\">post</term><term name=\\"post-weblog\\">blog post</term><term name=\\"regulation\\">regulation</term><term name=\\"report\\">report</term><term name=\\"review\\">review</term><term name=\\"review-book\\">book review</term><term name=\\"software\\">software</term><term name=\\"song\\">audio recording</term><term name=\\"speech\\">presentation</term><term name=\\"standard\\">standard</term><term name=\\"thesis\\">thesis</term><term name=\\"treaty\\">treaty</term><term name=\\"webpage\\">webpage</term>\\n\x3c!-- SHORT ITEM TYPE FORMS --\x3e<term name=\\"article-journal\\" form=\\"short\\">journal art.</term><term name=\\"article-magazine\\" form=\\"short\\">mag. art.</term><term name=\\"article-newspaper\\" form=\\"short\\">newspaper art.</term><term name=\\"book\\" form=\\"short\\">bk.</term><term name=\\"chapter\\" form=\\"short\\">bk. chap.</term><term name=\\"document\\" form=\\"short\\">doc.</term>\x3c!-- figure is in the list of locator terms --\x3e<term name=\\"graphic\\" form=\\"short\\">graph.</term><term name=\\"interview\\" form=\\"short\\">interv.</term><term name=\\"manuscript\\" form=\\"short\\">MS</term><term name=\\"motion_picture\\" form=\\"short\\">video rec.</term><term name=\\"report\\" form=\\"short\\">rep.</term><term name=\\"review\\" form=\\"short\\">rev.</term><term name=\\"review-book\\" form=\\"short\\">bk. rev.</term><term name=\\"song\\" form=\\"short\\">audio rec.</term>\\n\x3c!-- HISTORICAL ERA TERMS --\x3e<term name=\\"ad\\">AD</term><term name=\\"bc\\">BC</term><term name=\\"bce\\">BCE</term><term name=\\"ce\\">CE</term>\\n\x3c!-- PUNCTUATION --\x3e<term name=\\"open-quote\\">\u2018</term><term name=\\"close-quote\\">\u2019</term><term name=\\"open-inner-quote\\">\u201c</term><term name=\\"close-inner-quote\\">\u201d</term><term name=\\"page-range-delimiter\\">\u2013</term><term name=\\"colon\\">:</term><term name=\\"comma\\">,</term><term name=\\"semicolon\\">;</term>\\n\x3c!-- ORDINALS --\x3e<term name=\\"ordinal\\">ste</term><term name=\\"ordinal-00\\" match=\\"whole-number\\">de</term><term name=\\"ordinal-02\\" match=\\"last-two-digits\\">de</term><term name=\\"ordinal-03\\" match=\\"last-two-digits\\">de</term><term name=\\"ordinal-04\\" match=\\"last-two-digits\\">de</term><term name=\\"ordinal-05\\" match=\\"last-two-digits\\">de</term><term name=\\"ordinal-06\\" match=\\"last-two-digits\\">de</term><term name=\\"ordinal-07\\" match=\\"last-two-digits\\">de</term><term name=\\"ordinal-09\\" match=\\"last-two-digits\\">de</term><term name=\\"ordinal-10\\">de</term><term name=\\"ordinal-11\\">de</term><term name=\\"ordinal-12\\">de</term><term name=\\"ordinal-13\\">de</term><term name=\\"ordinal-14\\">de</term><term name=\\"ordinal-15\\">de</term><term name=\\"ordinal-16\\">de</term><term name=\\"ordinal-17\\">de</term><term name=\\"ordinal-18\\">de</term><term name=\\"ordinal-19\\">de</term>\\n\x3c!-- LONG ORDINALS --\x3e<term name=\\"long-ordinal-01\\">eerste</term><term name=\\"long-ordinal-02\\">tweede</term><term name=\\"long-ordinal-03\\">derde</term><term name=\\"long-ordinal-04\\">vierde</term><term name=\\"long-ordinal-05\\">vijfde</term><term name=\\"long-ordinal-06\\">zesde</term><term name=\\"long-ordinal-07\\">zevende</term><term name=\\"long-ordinal-08\\">achtste</term><term name=\\"long-ordinal-09\\">negende</term><term name=\\"long-ordinal-10\\">tiende</term>\\n\x3c!-- LONG LOCATOR FORMS --\x3e<term name=\\"act\\">\\t\\t\\t <single>act</single><multiple>acts</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"appendix\\">\\t\\t\\t <single>appendix</single><multiple>appendices</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"article-locator\\">\\t\\t\\t <single>article</single><multiple>articles</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"canon\\">\\t\\t\\t <single>canon</single><multiple>canons</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"elocation\\">\\t\\t\\t <single>location</single><multiple>locations</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"equation\\">\\t\\t\\t <single>equation</single><multiple>equations</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"rule\\">\\t\\t\\t <single>rule</single><multiple>rules</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"scene\\">\\t\\t\\t <single>scene</single><multiple>scenes</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"table\\">\\t\\t\\t <single>table</single><multiple>tables</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"timestamp\\"> \x3c!-- generally blank --\x3e<single></single><multiple></multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"title-locator\\">\\t\\t\\t <single>title</single><multiple>titles</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"book\\"><single>boek</single><multiple>boeken</multiple></term><term name=\\"chapter\\"><single>hoofdstuk</single><multiple>hoofdstukken</multiple></term><term name=\\"column\\"><single>column</single><multiple>columns</multiple></term><term name=\\"figure\\"><single>figuur</single><multiple>figuren</multiple></term><term name=\\"folio\\"><single>folio</single><multiple>folio\'s</multiple></term><term name=\\"issue\\"><single>nummer</single><multiple>nummers</multiple></term><term name=\\"line\\"><single>regel</single><multiple>regels</multiple></term><term name=\\"note\\"><single>aantekening</single><multiple>aantekeningen</multiple></term><term name=\\"opus\\"><single>opus</single><multiple>opera</multiple></term><term name=\\"page\\"><single>pagina</single><multiple>pagina\'s</multiple></term><term name=\\"number-of-pages\\"><single>pagina</single><multiple>pagina\'s</multiple></term><term name=\\"paragraph\\"><single>paragraaf</single><multiple>paragrafen</multiple></term><term name=\\"part\\"><single>deel</single><multiple>delen</multiple></term><term name=\\"section\\"><single>sectie</single><multiple>secties</multiple></term><term name=\\"sub-verbo\\"><single>sub verbo</single><multiple>sub verbis</multiple></term><term name=\\"verse\\"><single>vers</single><multiple>versen</multiple></term><term name=\\"volume\\"><single>volume</single><multiple>volumes</multiple></term>\\n\x3c!-- SHORT LOCATOR FORMS --\x3e<term name=\\"appendix\\">\\t\\t\\t <single>app.</single><multiple>apps.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"article-locator\\">\\t\\t\\t <single>art.</single><multiple>arts.</multiple></term><term name=\\"elocation\\">\\t\\t\\t <single>loc.</single><multiple>locs.</multiple></term><term name=\\"equation\\">\\t\\t\\t <single>eq.</single><multiple>eqs.</multiple></term><term name=\\"rule\\">\\t\\t\\t <single>r.</single><multiple>rr.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"scene\\">\\t\\t\\t <single>sc.</single><multiple>scs.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"table\\">\\t\\t\\t <single>tbl.</single><multiple>tbls.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"timestamp\\"> \x3c!-- generally blank --\x3e<single></single><multiple></multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"title-locator\\">\\t\\t\\t <single>tit.</single><multiple>tits.</multiple></term><term name=\\"book\\" form=\\"short\\">bk.</term><term name=\\"chapter\\" form=\\"short\\">hfdst.</term><term name=\\"column\\" form=\\"short\\">col.</term><term name=\\"figure\\" form=\\"short\\">fig.</term><term name=\\"folio\\" form=\\"short\\">f.</term><term name=\\"issue\\" form=\\"short\\">nr.</term><term name=\\"line\\" form=\\"short\\">l.</term><term name=\\"note\\" form=\\"short\\">n.</term><term name=\\"opus\\" form=\\"short\\">op.</term><term name=\\"page\\" form=\\"short\\"><single>p.</single><multiple>pp.</multiple></term><term name=\\"number-of-pages\\" form=\\"short\\"><single>p.</single><multiple>pp.</multiple></term><term name=\\"paragraph\\" form=\\"short\\">par.</term><term name=\\"part\\" form=\\"short\\">deel</term><term name=\\"section\\" form=\\"short\\">sec.</term><term name=\\"sub-verbo\\" form=\\"short\\"><single>s.v.</single><multiple>s.vv.</multiple></term><term name=\\"verse\\" form=\\"short\\"><single>v.</single><multiple>vv.</multiple></term><term name=\\"volume\\" form=\\"short\\"><single>vol.</single><multiple>vols.</multiple></term>\\n\x3c!-- SYMBOL LOCATOR FORMS --\x3e<term name=\\"paragraph\\" form=\\"symbol\\"><single>\xb6</single><multiple>\xb6\xb6</multiple></term><term name=\\"section\\" form=\\"symbol\\"><single>\xa7</single><multiple>\xa7\xa7</multiple></term>\\n\x3c!-- LONG ROLE FORMS --\x3e<term name=\\"chair\\"><single>chair</single><multiple>chairs</multiple></term><term name=\\"compiler\\"><single>compiler</single><multiple>compilers</multiple></term><term name=\\"contributor\\"><single>contributor</single><multiple>contributors</multiple></term><term name=\\"curator\\"><single>curator</single><multiple>curators</multiple></term><term name=\\"executive-producer\\"><single>executive producer</single><multiple>executive producers</multiple></term><term name=\\"guest\\"><single>guest</single><multiple>guests</multiple></term><term name=\\"host\\"><single>host</single><multiple>hosts</multiple></term><term name=\\"narrator\\"><single>narrator</single><multiple>narrators</multiple></term><term name=\\"organizer\\"><single>organizer</single><multiple>organizers</multiple></term><term name=\\"performer\\"><single>performer</single><multiple>performers</multiple></term><term name=\\"producer\\"><single>producer</single><multiple>producers</multiple></term><term name=\\"script-writer\\"><single>writer</single><multiple>writers</multiple></term><term name=\\"series-creator\\"><single>series creator</single><multiple>series creators</multiple></term><term name=\\"director\\"><single>regisseur</single><multiple>regisseurs</multiple></term><term name=\\"editor\\"><single>redacteur</single><multiple>redacteuren</multiple></term><term name=\\"editorial-director\\"><single>redacteur</single><multiple>redacteuren</multiple></term><term name=\\"illustrator\\"><single>illustrator</single><multiple>illustrators</multiple></term><term name=\\"translator\\"><single>vertaler</single><multiple>vertalers</multiple></term><term name=\\"editortranslator\\"><single>redacteur & vertaler</single><multiple>redacteuren & vertalers</multiple></term>\\n\x3c!-- SHORT ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"short\\"><single>comp.</single><multiple>comps.</multiple></term><term name=\\"contributor\\" form=\\"short\\"><single>contrib.</single><multiple>contribs.</multiple></term><term name=\\"curator\\" form=\\"short\\"><single>cur.</single><multiple>curs.</multiple></term><term name=\\"executive-producer\\" form=\\"short\\"><single>exec. prod.</single><multiple>exec. prods.</multiple></term><term name=\\"narrator\\" form=\\"short\\"><single>narr.</single><multiple>narrs.</multiple></term><term name=\\"organizer\\" form=\\"short\\"><single>org.</single><multiple>orgs.</multiple></term><term name=\\"performer\\" form=\\"short\\"><single>perf.</single><multiple>perfs.</multiple></term><term name=\\"producer\\" form=\\"short\\"><single>prod.</single><multiple>prods.</multiple></term><term name=\\"script-writer\\" form=\\"short\\"><single>writ.</single><multiple>writs.</multiple></term><term name=\\"series-creator\\" form=\\"short\\"><single>cre.</single><multiple>cres.</multiple></term><term name=\\"director\\" form=\\"short\\"><single>reg.</single><multiple>reg.</multiple></term><term name=\\"editor\\" form=\\"short\\"><single>red.</single><multiple>red.</multiple></term><term name=\\"editorial-director\\" form=\\"short\\"><single>red.</single><multiple>red.</multiple></term><term name=\\"illustrator\\" form=\\"short\\"><single>ill.</single><multiple>ill.</multiple></term><term name=\\"translator\\" form=\\"short\\"><single>vert.</single><multiple>vert.</multiple></term><term name=\\"editortranslator\\" form=\\"short\\"><single>red. & vert.</single><multiple>red. & vert.</multiple></term>\\n\x3c!-- VERB ROLE FORMS --\x3e<term name=\\"chair\\" form=\\"verb\\">chaired by</term><term name=\\"compiler\\" form=\\"verb\\">compiled by</term><term name=\\"contributor\\" form=\\"verb\\">with</term><term name=\\"curator\\" form=\\"verb\\">curated by</term><term name=\\"executive-producer\\" form=\\"verb\\">executive produced by</term><term name=\\"guest\\" form=\\"verb\\">with guest</term><term name=\\"host\\" form=\\"verb\\">hosted by</term><term name=\\"narrator\\" form=\\"verb\\">narrated by</term><term name=\\"organizer\\" form=\\"verb\\">organized by</term><term name=\\"performer\\" form=\\"verb\\">performed by</term><term name=\\"producer\\" form=\\"verb\\">produced by</term><term name=\\"script-writer\\" form=\\"verb\\">written by</term><term name=\\"series-creator\\" form=\\"verb\\">created by</term><term name=\\"container-author\\" form=\\"verb\\">door</term><term name=\\"director\\" form=\\"verb\\">geregisseerd door</term><term name=\\"editor\\" form=\\"verb\\">onder redactie van</term><term name=\\"editorial-director\\" form=\\"verb\\">onder redactie van</term><term name=\\"illustrator\\" form=\\"verb\\">ge\xefllustreerd door</term><term name=\\"interviewer\\" form=\\"verb\\">ge\xefnterviewd door</term><term name=\\"recipient\\" form=\\"verb\\">ontvangen door</term><term name=\\"reviewed-author\\" form=\\"verb\\">door</term><term name=\\"translator\\" form=\\"verb\\">vertaald door</term><term name=\\"editortranslator\\" form=\\"verb\\">bewerkt & vertaald door</term>\\n\x3c!-- SHORT VERB ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"verb-short\\">comp. by</term><term name=\\"contributor\\" form=\\"verb-short\\">w.</term><term name=\\"curator\\" form=\\"verb-short\\">cur. by</term><term name=\\"executive-producer\\" form=\\"verb-short\\">exec. prod. by</term><term name=\\"guest\\" form=\\"verb-short\\">w. guest</term><term name=\\"host\\" form=\\"verb-short\\">hosted by</term><term name=\\"narrator\\" form=\\"verb-short\\">narr. by</term><term name=\\"organizer\\" form=\\"verb-short\\">org. by</term><term name=\\"performer\\" form=\\"verb-short\\">perf. by</term><term name=\\"producer\\" form=\\"verb-short\\">prod. by</term><term name=\\"script-writer\\" form=\\"verb-short\\">writ. by</term><term name=\\"series-creator\\" form=\\"verb-short\\">cre. by</term><term name=\\"director\\" form=\\"verb-short\\">geregisseerd door</term><term name=\\"editor\\" form=\\"verb-short\\">onder redactie van</term><term name=\\"editorial-director\\" form=\\"verb-short\\">bewerkt door</term><term name=\\"illustrator\\" form=\\"verb-short\\">ge\xefllustreerd door</term><term name=\\"translator\\" form=\\"verb-short\\">vertaald door</term><term name=\\"editortranslator\\" form=\\"verb-short\\">bewerkt & vertaald door</term>\\n\x3c!-- LONG MONTH FORMS --\x3e<term name=\\"month-01\\">januari</term><term name=\\"month-02\\">februari</term><term name=\\"month-03\\">maart</term><term name=\\"month-04\\">april</term><term name=\\"month-05\\">mei</term><term name=\\"month-06\\">juni</term><term name=\\"month-07\\">juli</term><term name=\\"month-08\\">augustus</term><term name=\\"month-09\\">september</term><term name=\\"month-10\\">oktober</term><term name=\\"month-11\\">november</term><term name=\\"month-12\\">december</term>\\n\x3c!-- SHORT MONTH FORMS --\x3e<term name=\\"month-01\\" form=\\"short\\">jan.</term><term name=\\"month-02\\" form=\\"short\\">feb.</term><term name=\\"month-03\\" form=\\"short\\">mrt.</term><term name=\\"month-04\\" form=\\"short\\">apr.</term><term name=\\"month-05\\" form=\\"short\\">mei</term><term name=\\"month-06\\" form=\\"short\\">jun.</term><term name=\\"month-07\\" form=\\"short\\">jul.</term><term name=\\"month-08\\" form=\\"short\\">aug.</term><term name=\\"month-09\\" form=\\"short\\">sep.</term><term name=\\"month-10\\" form=\\"short\\">okt.</term><term name=\\"month-11\\" form=\\"short\\">nov.</term><term name=\\"month-12\\" form=\\"short\\">dec.</term>\\n\x3c!-- SEASONS --\x3e<term name=\\"season-01\\">lente</term><term name=\\"season-02\\">zomer</term><term name=\\"season-03\\">herst</term><term name=\\"season-04\\">winter</term></terms>\\n</locale>\\n","fr-FR":"<?xml version=\\"1.0\\" encoding=\\"utf-8\\"?>\\n<locale xmlns=\\"http://purl.org/net/xbiblio/csl\\" version=\\"1.0\\" xml:lang=\\"fr-FR\\"><info><translator><name>Gr\xe9goire Colly</name></translator><translator><name>Collectif Zotero francophone</name></translator><rights license=\\"http://creativecommons.org/licenses/by-sa/3.0/\\">This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 License</rights><updated>2012-07-04T23:31:02+00:00</updated></info><style-options punctuation-in-quote=\\"false\\" limit-day-ordinals-to-day-1=\\"true\\"/><date form=\\"text\\"><date-part name=\\"day\\" suffix=\\" \\"/><date-part name=\\"month\\" suffix=\\" \\"/><date-part name=\\"year\\"/></date><date form=\\"numeric\\"><date-part name=\\"day\\" form=\\"numeric-leading-zeros\\" suffix=\\"/\\"/><date-part name=\\"month\\" form=\\"numeric-leading-zeros\\" suffix=\\"/\\"/><date-part name=\\"year\\"/></date><terms><term name=\\"advance-online-publication\\">publication en ligne anticip\xe9e</term><term name=\\"album\\">album</term><term name=\\"audio-recording\\">enregistrement audio</term><term name=\\"film\\">film</term><term name=\\"henceforth\\">d\xe9sormais</term><term name=\\"loc-cit\\">loc. cit.</term> \x3c!-- like ibid., the abbreviated form is the regular form --\x3e<term name=\\"no-place\\">sans lieu</term><term name=\\"no-place\\" form=\\"short\\">s. l.</term><term name=\\"no-publisher\\">sans nom</term> \x3c!-- sine nomine --\x3e<term name=\\"no-publisher\\" form=\\"short\\">s. n.</term><term name=\\"on\\">sur</term><term name=\\"op-cit\\">op. cit.</term> \x3c!-- like ibid., the abbreviated form is the regular form --\x3e<term name=\\"original-work-published\\">\xe9dition originale</term><term name=\\"personal-communication\\">communication personnelle</term><term name=\\"podcast\\">podcast</term><term name=\\"podcast-episode\\">\xe9pisode de podcast</term><term name=\\"preprint\\">pr\xe9publication</term><term name=\\"radio-broadcast\\">\xe9mission de radio</term><term name=\\"radio-series\\">s\xe9rie radiophonique</term><term name=\\"radio-series-episode\\">\xe9pisode de s\xe9rie radiophonique</term><term name=\\"special-issue\\">num\xe9ro sp\xe9cial</term><term name=\\"special-section\\">section sp\xe9ciale</term><term name=\\"television-broadcast\\">\xe9mission de t\xe9l\xe9vision</term><term name=\\"television-series\\">s\xe9rie t\xe9l\xe9vis\xe9e</term><term name=\\"television-series-episode\\">\xe9pisode de s\xe9rie t\xe9l\xe9vis\xe9e</term><term name=\\"video\\">vid\xe9o</term><term name=\\"working-paper\\">document de travail</term><term name=\\"accessed\\">consult\xe9 le</term><term name=\\"and\\">et</term><term name=\\"and others\\">et autres</term><term name=\\"anonymous\\">anonyme</term><term name=\\"anonymous\\" form=\\"short\\">anon.</term><term name=\\"at\\">sur</term><term name=\\"available at\\">disponible sur</term><term name=\\"by\\">par</term><term name=\\"circa\\">vers</term><term name=\\"circa\\" form=\\"short\\">v.</term><term name=\\"cited\\">cit\xe9</term><term name=\\"edition\\" gender=\\"feminine\\"><single>\xe9dition</single><multiple>\xe9ditions</multiple></term><term name=\\"edition\\" form=\\"short\\">\xe9d.</term><term name=\\"et-al\\">et al.</term><term name=\\"forthcoming\\">\xe0 para\xeetre</term><term name=\\"from\\">\xe0 l\'adresse</term><term name=\\"ibid\\">ibid.</term><term name=\\"in\\">in</term><term name=\\"in press\\">sous presse</term><term name=\\"internet\\">Internet</term><term name=\\"interview\\">entretien</term><term name=\\"letter\\">lettre</term><term name=\\"no date\\">sans date</term><term name=\\"no date\\" form=\\"short\\">s. d.</term><term name=\\"online\\">en ligne</term><term name=\\"presented at\\">pr\xe9sent\xe9 \xe0</term><term name=\\"reference\\"><single>r\xe9f\xe9rence</single><multiple>r\xe9f\xe9rences</multiple></term><term name=\\"reference\\" form=\\"short\\"><single>r\xe9f.</single><multiple>r\xe9f.</multiple></term><term name=\\"retrieved\\">consult\xe9</term><term name=\\"scale\\">\xe9chelle</term><term name=\\"version\\">version</term>\\n\x3c!-- LONG ITEM TYPE FORMS --\x3e<term name=\\"article\\">article</term><term name=\\"article-journal\\">article de revue</term><term name=\\"article-magazine\\">article de magazine</term><term name=\\"article-newspaper\\">article de presse</term><term name=\\"bill\\">projet de loi</term><term name=\\"book\\">livre</term><term name=\\"broadcast\\">\xe9mission</term><term name=\\"chapter\\">chapitre de livre</term><term name=\\"classic\\">classique</term><term name=\\"collection\\">collection</term><term name=\\"dataset\\">jeu de donn\xe9es</term><term name=\\"document\\">document</term><term name=\\"entry\\">entr\xe9e</term><term name=\\"entry-dictionary\\">entr\xe9e de dictionnaire</term><term name=\\"entry-encyclopedia\\">entr\xe9e d\'encyclop\xe9die</term><term name=\\"event\\">\xe9v\xe9nement</term>\x3c!-- figure is in the list of locator terms --\x3e<term name=\\"graphic\\">image</term><term name=\\"hearing\\">audience</term><term name=\\"interview\\">interview</term><term name=\\"legal_case\\">affaire</term><term name=\\"legislation\\">acte juridique</term><term name=\\"manuscript\\">manuscrit</term><term name=\\"map\\">carte</term><term name=\\"motion_picture\\">enregistrement vid\xe9o</term><term name=\\"musical_score\\">partition</term><term name=\\"pamphlet\\">pamphlet</term><term name=\\"paper-conference\\">article de colloque</term><term name=\\"patent\\">brevet</term><term name=\\"performance\\">interpr\xe9tation</term><term name=\\"periodical\\">p\xe9riodique</term><term name=\\"personal_communication\\">communication personnelle</term><term name=\\"post\\">billet</term><term name=\\"post-weblog\\">billet de blog</term><term name=\\"regulation\\">r\xe8glement</term><term name=\\"report\\">rapport</term><term name=\\"review\\">recension</term><term name=\\"review-book\\">recension de livre</term><term name=\\"software\\">logiciel</term><term name=\\"song\\">chanson</term><term name=\\"speech\\">pr\xe9sentation</term><term name=\\"standard\\">norme</term><term name=\\"thesis\\">th\xe8se</term><term name=\\"treaty\\">trait\xe9</term><term name=\\"webpage\\">page web</term>\\n\x3c!-- SHORT ITEM TYPE FORMS --\x3e<term name=\\"article-journal\\" form=\\"short\\">art. de revue</term><term name=\\"article-magazine\\" form=\\"short\\">art. de mag.</term><term name=\\"article-newspaper\\" form=\\"short\\">art. de presse</term><term name=\\"book\\" form=\\"short\\">liv.</term><term name=\\"chapter\\" form=\\"short\\">chap. de liv.</term><term name=\\"document\\" form=\\"short\\">doc.</term>\x3c!-- figure is in the list of locator terms --\x3e<term name=\\"graphic\\" form=\\"short\\">graph.</term><term name=\\"interview\\" form=\\"short\\">interv.</term><term name=\\"manuscript\\" form=\\"short\\">ms</term><term name=\\"motion_picture\\" form=\\"short\\">enr. vid\xe9o</term><term name=\\"report\\" form=\\"short\\">rap.</term><term name=\\"review\\" form=\\"short\\">recens.</term><term name=\\"review-book\\" form=\\"short\\">recens. de liv.</term><term name=\\"song\\" form=\\"short\\">enr. audio</term>\\n\x3c!-- HISTORICAL ERA TERMS --\x3e<term name=\\"ad\\">apr. J.-C.</term><term name=\\"bc\\">av. J.-C.</term><term name=\\"bce\\">av. n. \xe8.</term><term name=\\"ce\\">n. \xe8.</term>\\n\x3c!-- PUNCTUATION --\x3e<term name=\\"open-quote\\">\xab </term><term name=\\"close-quote\\"> \xbb</term><term name=\\"open-inner-quote\\">\u201c</term><term name=\\"close-inner-quote\\">\u201d</term><term name=\\"page-range-delimiter\\">‑</term> \x3c!-- non-breaking hyphen --\x3e<term name=\\"colon\\"> :</term><term name=\\"comma\\">,</term><term name=\\"semicolon\\"> ;</term>\\n\x3c!-- ORDINALS --\x3e<term name=\\"ordinal\\">\u1d49</term><term name=\\"ordinal-01\\" gender-form=\\"feminine\\" match=\\"whole-number\\">\u02b3\u1d49</term><term name=\\"ordinal-01\\" gender-form=\\"masculine\\" match=\\"whole-number\\">\u1d49\u02b3</term>\\n\x3c!-- LONG ORDINALS --\x3e<term name=\\"long-ordinal-01\\">premier</term><term name=\\"long-ordinal-02\\">deuxi\xe8me</term><term name=\\"long-ordinal-03\\">troisi\xe8me</term><term name=\\"long-ordinal-04\\">quatri\xe8me</term><term name=\\"long-ordinal-05\\">cinqui\xe8me</term><term name=\\"long-ordinal-06\\">sixi\xe8me</term><term name=\\"long-ordinal-07\\">septi\xe8me</term><term name=\\"long-ordinal-08\\">huiti\xe8me</term><term name=\\"long-ordinal-09\\">neuvi\xe8me</term><term name=\\"long-ordinal-10\\">dixi\xe8me</term>\\n\x3c!-- LONG LOCATOR FORMS --\x3e<term name=\\"act\\"><single>acte</single><multiple>actes</multiple></term><term name=\\"appendix\\"><single>appendice</single><multiple>appendices</multiple></term><term name=\\"article-locator\\"><single>article</single><multiple>articles</multiple></term><term name=\\"canon\\"><single>canon</single><multiple>canons</multiple></term><term name=\\"elocation\\"><single>emplacement</single><multiple>emplacements</multiple></term><term name=\\"equation\\"><single>\xe9quation</single><multiple>\xe9quations</multiple></term><term name=\\"rule\\"><single>r\xe8gle</single><multiple>r\xe8gles</multiple></term><term name=\\"scene\\"><single>sc\xe8ne</single><multiple>sc\xe8nes</multiple></term><term name=\\"table\\"><single>tableau</single><multiple>tableaux</multiple></term><term name=\\"timestamp\\"> \x3c!-- generally blank --\x3e<single></single><multiple></multiple></term><term name=\\"title-locator\\"><single>titre</single><multiple>titres</multiple></term><term name=\\"book\\"><single>livre</single><multiple>livres</multiple></term><term name=\\"chapter\\"><single>chapitre</single><multiple>chapitres</multiple></term><term name=\\"column\\"><single>colonne</single><multiple>colonnes</multiple></term><term name=\\"figure\\"><single>figure</single><multiple>figures</multiple></term><term name=\\"folio\\"><single>folio</single><multiple>folios</multiple></term><term name=\\"issue\\" gender=\\"masculine\\"><single>num\xe9ro</single><multiple>num\xe9ros</multiple></term><term name=\\"line\\"><single>ligne</single><multiple>lignes</multiple></term><term name=\\"note\\"><single>note</single><multiple>notes</multiple></term><term name=\\"opus\\"><single>opus</single><multiple>opus</multiple></term><term name=\\"page\\"><single>page</single><multiple>pages</multiple></term><term name=\\"number-of-pages\\"><single>page</single><multiple>pages</multiple></term><term name=\\"paragraph\\"><single>paragraphe</single><multiple>paragraphes</multiple></term><term name=\\"part\\"><single>partie</single><multiple>parties</multiple></term><term name=\\"section\\"><single>section</single><multiple>sections</multiple></term><term name=\\"sub-verbo\\"><single>sub verbo</single><multiple>sub verbis</multiple></term><term name=\\"verse\\"><single>verset</single><multiple>versets</multiple></term><term name=\\"volume\\" gender=\\"masculine\\"><single>volume</single><multiple>volumes</multiple></term>\\n\x3c!-- SHORT LOCATOR FORMS --\x3e<term name=\\"appendix\\"><single>append.</single><multiple>append.</multiple></term><term name=\\"article-locator\\"><single>art.</single><multiple>art.</multiple></term><term name=\\"elocation\\"><single>emplact</single><multiple>emplact</multiple></term><term name=\\"equation\\"><single>eq.</single><multiple>eq.</multiple></term><term name=\\"rule\\"><single>r\xe8gle</single><multiple>r\xe8gles</multiple></term><term name=\\"scene\\"><single>sc.</single><multiple>sc.</multiple></term><term name=\\"table\\"><single>tab.</single><multiple>tab.</multiple></term><term name=\\"timestamp\\"> \x3c!-- generally blank --\x3e<single></single><multiple></multiple></term><term name=\\"title-locator\\"><single>tit.</single><multiple>tit.</multiple></term><term name=\\"book\\" form=\\"short\\">liv.</term><term name=\\"chapter\\" form=\\"short\\">chap.</term><term name=\\"column\\" form=\\"short\\">col.</term><term name=\\"figure\\" form=\\"short\\">fig.</term><term name=\\"folio\\" form=\\"short\\"><single>f\u1d52</single><multiple>f\u1d52\u02e2</multiple></term><term name=\\"issue\\" form=\\"short\\"><single>n\u1d52</single><multiple>n\u1d52\u02e2</multiple></term><term name=\\"line\\" form=\\"short\\">l.</term><term name=\\"note\\" form=\\"short\\">n.</term><term name=\\"opus\\" form=\\"short\\">op.</term><term name=\\"page\\" form=\\"short\\"><single>p.</single><multiple>p.</multiple></term><term name=\\"number-of-pages\\" form=\\"short\\"><single>p.</single><multiple>p.</multiple></term><term name=\\"paragraph\\" form=\\"short\\">paragr.</term><term name=\\"part\\" form=\\"short\\">part.</term><term name=\\"section\\" form=\\"short\\">sect.</term><term name=\\"sub-verbo\\" form=\\"short\\"><single>s. v.</single><multiple>s. vv.</multiple></term><term name=\\"verse\\" form=\\"short\\"><single>v.</single><multiple>v.</multiple></term><term name=\\"volume\\" form=\\"short\\"><single>vol.</single><multiple>vol.</multiple></term>\\n\x3c!-- SYMBOL LOCATOR FORMS --\x3e<term name=\\"paragraph\\" form=\\"symbol\\"><single>\xa7</single><multiple>\xa7</multiple></term><term name=\\"section\\" form=\\"symbol\\"><single>\xa7</single><multiple>\xa7</multiple></term>\\n\x3c!-- LONG ROLE FORMS --\x3e<term name=\\"chair\\"><single>pr\xe9sident</single><multiple>pr\xe9sidents</multiple></term><term name=\\"compiler\\"><single>compilateur</single><multiple>compilateurs</multiple></term><term name=\\"contributor\\"><single>contributeur</single><multiple>contributeurs</multiple></term><term name=\\"curator\\"><single>commissaire</single><multiple>commissaires</multiple></term><term name=\\"executive-producer\\"><single>producteur ex\xe9cutif</single><multiple>producteurs ex\xe9cutifs</multiple></term><term name=\\"guest\\"><single>invit\xe9</single><multiple>invit\xe9s</multiple></term><term name=\\"host\\"><single>h\xf4te</single><multiple>h\xf4tes</multiple></term><term name=\\"narrator\\"><single>narrateur</single><multiple>narrateurs</multiple></term><term name=\\"organizer\\"><single>organisateur</single><multiple>organisateurs</multiple></term><term name=\\"performer\\"><single>interpr\xe8te</single><multiple>interpr\xe8tes</multiple></term><term name=\\"producer\\"><single>producteur</single><multiple>producteurs</multiple></term><term name=\\"script-writer\\"><single>sc\xe9nariste</single><multiple>sc\xe9naristes</multiple></term><term name=\\"series-creator\\"><single>cr\xe9ateur de s\xe9rie</single><multiple>cr\xe9ateurs de s\xe9rie</multiple></term><term name=\\"director\\"><single>r\xe9alisateur</single><multiple>r\xe9alisateurs</multiple></term><term name=\\"editor\\"><single>\xe9diteur</single><multiple>\xe9diteurs</multiple></term><term name=\\"editorial-director\\"><single>directeur</single><multiple>directeurs</multiple></term><term name=\\"illustrator\\"><single>illustrateur</single><multiple>illustrateurs</multiple></term><term name=\\"translator\\"><single>traducteur</single><multiple>traducteurs</multiple></term><term name=\\"editortranslator\\"><single>\xe9diteur et traducteur</single><multiple>\xe9diteurs et traducteurs</multiple></term>\\n\x3c!-- SHORT ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"short\\"><single>compil.</single><multiple>compil.</multiple></term><term name=\\"contributor\\" form=\\"short\\"><single>contrib.</single><multiple>contrib.</multiple></term><term name=\\"curator\\" form=\\"short\\"><single>commiss.</single><multiple>commiss.</multiple></term><term name=\\"executive-producer\\" form=\\"short\\"><single>prod. ex\xe9.</single><multiple>prod. ex\xe9.</multiple></term><term name=\\"narrator\\" form=\\"short\\"><single>narr.</single><multiple>narr.</multiple></term><term name=\\"organizer\\" form=\\"short\\"><single>org.</single><multiple>org.</multiple></term><term name=\\"performer\\" form=\\"short\\"><single>interpr.</single><multiple>interpr.</multiple></term><term name=\\"producer\\" form=\\"short\\"><single>prod.</single><multiple>prod.</multiple></term><term name=\\"script-writer\\" form=\\"short\\"><single>sc\xe9nar.</single><multiple>sc\xe9nar.</multiple></term><term name=\\"series-creator\\" form=\\"short\\"><single>cr\xe9at.</single><multiple>cr\xe9at.</multiple></term><term name=\\"director\\" form=\\"short\\"><single>r\xe9al.</single><multiple>r\xe9al.</multiple></term><term name=\\"editor\\" form=\\"short\\"><single>\xe9d.</single><multiple>\xe9d.</multiple></term><term name=\\"editorial-director\\" form=\\"short\\"><single>dir.</single><multiple>dir.</multiple></term><term name=\\"illustrator\\" form=\\"short\\"><single>ill.</single><multiple>ill.</multiple></term><term name=\\"translator\\" form=\\"short\\"><single>trad.</single><multiple>trad.</multiple></term><term name=\\"editortranslator\\" form=\\"short\\"><single>\xe9d. et trad.</single><multiple>\xe9d. et trad.</multiple></term>\\n\x3c!-- VERB ROLE FORMS --\x3e<term name=\\"chair\\" form=\\"verb\\">pr\xe9sid\xe9 par</term><term name=\\"compiler\\" form=\\"verb\\">compil\xe9 par</term><term name=\\"contributor\\" form=\\"verb\\">avec</term><term name=\\"curator\\" form=\\"verb\\">organis\xe9 par</term><term name=\\"executive-producer\\" form=\\"verb\\">production ex\xe9cutive par</term><term name=\\"guest\\" form=\\"verb\\">avec pour invit\xe9</term><term name=\\"host\\" form=\\"verb\\">anim\xe9 par</term><term name=\\"narrator\\" form=\\"verb\\">lu par</term><term name=\\"organizer\\" form=\\"verb\\">organis\xe9 par</term><term name=\\"performer\\" form=\\"verb\\">interpr\xe9t\xe9 par</term><term name=\\"producer\\" form=\\"verb\\">produit par</term><term name=\\"script-writer\\" form=\\"verb\\">sc\xe9nario de</term><term name=\\"series-creator\\" form=\\"verb\\">cr\xe9\xe9 par</term><term name=\\"container-author\\" form=\\"verb\\">par</term><term name=\\"director\\" form=\\"verb\\">r\xe9alis\xe9 par</term><term name=\\"editor\\" form=\\"verb\\">\xe9dit\xe9 par</term><term name=\\"editorial-director\\" form=\\"verb\\">sous la direction de</term><term name=\\"illustrator\\" form=\\"verb\\">illustr\xe9 par</term><term name=\\"interviewer\\" form=\\"verb\\">entretien r\xe9alis\xe9 par</term><term name=\\"recipient\\" form=\\"verb\\">\xe0</term><term name=\\"reviewed-author\\" form=\\"verb\\">par</term><term name=\\"translator\\" form=\\"verb\\">traduit par</term><term name=\\"editortranslator\\" form=\\"verb\\">\xe9dit\xe9 et traduit par</term>\\n\x3c!-- SHORT VERB ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"verb-short\\">compil. par</term><term name=\\"contributor\\" form=\\"verb-short\\">ac</term><term name=\\"curator\\" form=\\"verb-short\\">org. par</term><term name=\\"executive-producer\\" form=\\"verb-short\\">prod. ex\xe9. par</term><term name=\\"guest\\" form=\\"verb-short\\">ac pr inv.</term><term name=\\"host\\" form=\\"verb-short\\">anim. par</term><term name=\\"narrator\\" form=\\"verb-short\\">lu par</term><term name=\\"organizer\\" form=\\"verb-short\\">org. par</term><term name=\\"performer\\" form=\\"verb-short\\">interpr. par</term><term name=\\"producer\\" form=\\"verb-short\\">prod. par</term><term name=\\"script-writer\\" form=\\"verb-short\\">sc\xe9nar. de</term><term name=\\"series-creator\\" form=\\"verb-short\\">cr\xe9\xe9 par</term><term name=\\"director\\" form=\\"verb-short\\">r\xe9al. par</term><term name=\\"editor\\" form=\\"verb-short\\">\xe9d. par</term><term name=\\"editorial-director\\" form=\\"verb-short\\">ss la dir. de</term><term name=\\"illustrator\\" form=\\"verb-short\\">ill. par</term><term name=\\"translator\\" form=\\"verb-short\\">trad. par</term><term name=\\"editortranslator\\" form=\\"verb-short\\">\xe9d. et trad. par</term>\\n\x3c!-- LONG MONTH FORMS --\x3e<term name=\\"month-01\\" gender=\\"masculine\\">janvier</term><term name=\\"month-02\\" gender=\\"masculine\\">f\xe9vrier</term><term name=\\"month-03\\" gender=\\"masculine\\">mars</term><term name=\\"month-04\\" gender=\\"masculine\\">avril</term><term name=\\"month-05\\" gender=\\"masculine\\">mai</term><term name=\\"month-06\\" gender=\\"masculine\\">juin</term><term name=\\"month-07\\" gender=\\"masculine\\">juillet</term><term name=\\"month-08\\" gender=\\"masculine\\">ao\xfbt</term><term name=\\"month-09\\" gender=\\"masculine\\">septembre</term><term name=\\"month-10\\" gender=\\"masculine\\">octobre</term><term name=\\"month-11\\" gender=\\"masculine\\">novembre</term><term name=\\"month-12\\" gender=\\"masculine\\">d\xe9cembre</term>\\n\x3c!-- SHORT MONTH FORMS --\x3e<term name=\\"month-01\\" form=\\"short\\">janv.</term><term name=\\"month-02\\" form=\\"short\\">f\xe9vr.</term><term name=\\"month-03\\" form=\\"short\\">mars</term><term name=\\"month-04\\" form=\\"short\\">avr.</term><term name=\\"month-05\\" form=\\"short\\">mai</term><term name=\\"month-06\\" form=\\"short\\">juin</term><term name=\\"month-07\\" form=\\"short\\">juill.</term><term name=\\"month-08\\" form=\\"short\\">ao\xfbt</term><term name=\\"month-09\\" form=\\"short\\">sept.</term><term name=\\"month-10\\" form=\\"short\\">oct.</term><term name=\\"month-11\\" form=\\"short\\">nov.</term><term name=\\"month-12\\" form=\\"short\\">d\xe9c.</term>\\n\x3c!-- SEASONS --\x3e<term name=\\"season-01\\">printemps</term><term name=\\"season-02\\">\xe9t\xe9</term><term name=\\"season-03\\">automne</term><term name=\\"season-04\\">hiver</term></terms>\\n</locale>\\n","de-DE":"<?xml version=\\"1.0\\" encoding=\\"utf-8\\"?>\\n<locale xmlns=\\"http://purl.org/net/xbiblio/csl\\" version=\\"1.0\\" xml:lang=\\"de-DE\\"><info><translator><name>Till A. Heilmann</name></translator><translator><name>Ulrich</name></translator><translator><name>Rintze M. Zelle</name></translator><translator><name>Sebastian Karcher</name></translator><translator><name>jakov</name></translator><rights license=\\"http://creativecommons.org/licenses/by-sa/3.0/\\">This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 License</rights><updated>2012-07-04T23:31:02+00:00</updated></info><style-options punctuation-in-quote=\\"false\\"/><date form=\\"text\\"><date-part name=\\"day\\" form=\\"ordinal\\" suffix=\\" \\"/><date-part name=\\"month\\" suffix=\\" \\"/><date-part name=\\"year\\"/></date><date form=\\"numeric\\"><date-part name=\\"day\\" form=\\"numeric-leading-zeros\\" suffix=\\".\\"/><date-part name=\\"month\\" form=\\"numeric-leading-zeros\\" suffix=\\".\\"/><date-part name=\\"year\\"/></date><terms><term name=\\"advance-online-publication\\">advance online publication</term><term name=\\"album\\">album</term><term name=\\"audio-recording\\">audio recording</term><term name=\\"film\\">film</term><term name=\\"henceforth\\">henceforth</term><term name=\\"loc-cit\\">loc. cit.</term> \x3c!-- like ibid., the abbreviated form is the regular form --\x3e<term name=\\"no-place\\">no place</term><term name=\\"no-place\\" form=\\"short\\">n.p.</term><term name=\\"no-publisher\\">no publisher</term> \x3c!-- sine nomine --\x3e<term name=\\"no-publisher\\" form=\\"short\\">n.p.</term><term name=\\"on\\">on</term><term name=\\"op-cit\\">op. cit.</term> \x3c!-- like ibid., the abbreviated form is the regular form --\x3e<term name=\\"original-work-published\\">original work published</term><term name=\\"personal-communication\\">pers\xf6nliche Kommunikation</term><term name=\\"podcast\\">podcast</term><term name=\\"podcast-episode\\">podcast episode</term><term name=\\"preprint\\">preprint</term><term name=\\"radio-broadcast\\">radio broadcast</term><term name=\\"radio-series\\">radio series</term><term name=\\"radio-series-episode\\">radio series episode</term><term name=\\"special-issue\\">special issue</term><term name=\\"special-section\\">special section</term><term name=\\"television-broadcast\\">television broadcast</term><term name=\\"television-series\\">television series</term><term name=\\"television-series-episode\\">television series episode</term><term name=\\"video\\">video</term><term name=\\"working-paper\\">working paper</term><term name=\\"accessed\\">zugegriffen</term><term name=\\"and\\">und</term><term name=\\"and others\\">und andere</term><term name=\\"anonymous\\">ohne Autor</term><term name=\\"anonymous\\" form=\\"short\\">o. A.</term><term name=\\"at\\">auf</term><term name=\\"available at\\">verf\xfcgbar unter</term><term name=\\"by\\">von</term><term name=\\"circa\\">circa</term><term name=\\"circa\\" form=\\"short\\">ca.</term><term name=\\"cited\\">zitiert</term><term name=\\"edition\\"><single>Auflage</single><multiple>Auflagen</multiple></term><term name=\\"edition\\" form=\\"short\\">Aufl.</term><term name=\\"et-al\\">u. a.</term><term name=\\"forthcoming\\">i. E.</term><term name=\\"from\\">von</term><term name=\\"ibid\\">ebd.</term><term name=\\"in\\">in</term><term name=\\"in press\\">im Druck</term><term name=\\"internet\\">Internet</term><term name=\\"interview\\">Interview</term><term name=\\"letter\\">Brief</term><term name=\\"no date\\">ohne Datum</term><term name=\\"no date\\" form=\\"short\\">o. J.</term><term name=\\"online\\">online</term><term name=\\"presented at\\">gehalten auf der</term><term name=\\"reference\\"><single>Referenz</single><multiple>Referenzen</multiple></term><term name=\\"reference\\" form=\\"short\\"><single>Ref.</single><multiple>Ref.</multiple></term><term name=\\"retrieved\\">abgerufen</term><term name=\\"scale\\">Ma\xdfstab</term><term name=\\"version\\">Version</term>\\n\x3c!-- LONG ITEM TYPE FORMS --\x3e<term name=\\"article\\">preprint</term><term name=\\"article-journal\\">journal article</term><term name=\\"article-magazine\\">magazine article</term><term name=\\"article-newspaper\\">newspaper article</term><term name=\\"bill\\">bill</term><term name=\\"book\\">book</term><term name=\\"broadcast\\">broadcast</term><term name=\\"chapter\\">book chapter</term><term name=\\"classic\\">classic</term><term name=\\"collection\\">collection</term><term name=\\"dataset\\">dataset</term><term name=\\"document\\">document</term><term name=\\"entry\\">entry</term><term name=\\"entry-dictionary\\">dictionary entry</term><term name=\\"entry-encyclopedia\\">encyclopedia entry</term><term name=\\"event\\">event</term>\x3c!-- figure is in the list of locator terms --\x3e<term name=\\"graphic\\">graphic</term><term name=\\"hearing\\">hearing</term><term name=\\"interview\\">interview</term><term name=\\"legal_case\\">legal case</term><term name=\\"legislation\\">legislation</term><term name=\\"manuscript\\">manuscript</term><term name=\\"map\\">map</term><term name=\\"motion_picture\\">video recording</term><term name=\\"musical_score\\">musical score</term><term name=\\"pamphlet\\">pamphlet</term><term name=\\"paper-conference\\">conference paper</term><term name=\\"patent\\">patent</term><term name=\\"performance\\">performance</term><term name=\\"periodical\\">periodical</term><term name=\\"personal_communication\\">pers\xf6nliche Kommunikation</term><term name=\\"post\\">post</term><term name=\\"post-weblog\\">blog post</term><term name=\\"regulation\\">regulation</term><term name=\\"report\\">report</term><term name=\\"review\\">review</term><term name=\\"review-book\\">book review</term><term name=\\"software\\">software</term><term name=\\"song\\">audio recording</term><term name=\\"speech\\">presentation</term><term name=\\"standard\\">standard</term><term name=\\"thesis\\">thesis</term><term name=\\"treaty\\">treaty</term><term name=\\"webpage\\">webpage</term>\\n\x3c!-- SHORT ITEM TYPE FORMS --\x3e<term name=\\"article-journal\\" form=\\"short\\">journal art.</term><term name=\\"article-magazine\\" form=\\"short\\">mag. art.</term><term name=\\"article-newspaper\\" form=\\"short\\">newspaper art.</term><term name=\\"book\\" form=\\"short\\">bk.</term><term name=\\"chapter\\" form=\\"short\\">bk. chap.</term><term name=\\"document\\" form=\\"short\\">doc.</term>\x3c!-- figure is in the list of locator terms --\x3e<term name=\\"graphic\\" form=\\"short\\">graph.</term><term name=\\"interview\\" form=\\"short\\">interv.</term><term name=\\"manuscript\\" form=\\"short\\">MS</term><term name=\\"motion_picture\\" form=\\"short\\">video rec.</term><term name=\\"report\\" form=\\"short\\">rep.</term><term name=\\"review\\" form=\\"short\\">rev.</term><term name=\\"review-book\\" form=\\"short\\">bk. rev.</term><term name=\\"song\\" form=\\"short\\">audio rec.</term>\\n\x3c!-- HISTORICAL ERA TERMS --\x3e<term name=\\"ad\\"> n. Chr.</term><term name=\\"bc\\"> v. Chr.</term><term name=\\"bce\\">BCE</term><term name=\\"ce\\">CE</term>\\n\x3c!-- PUNCTUATION --\x3e<term name=\\"open-quote\\">\u201e</term><term name=\\"close-quote\\">\u201c</term><term name=\\"open-inner-quote\\">\u201a</term><term name=\\"close-inner-quote\\">\u2018</term><term name=\\"page-range-delimiter\\">\u2013</term><term name=\\"colon\\">:</term><term name=\\"comma\\">,</term><term name=\\"semicolon\\">;</term>\\n\x3c!-- ORDINALS --\x3e<term name=\\"ordinal\\">.</term>\\n\x3c!-- LONG ORDINALS --\x3e<term name=\\"long-ordinal-01\\">erster</term><term name=\\"long-ordinal-02\\">zweiter</term><term name=\\"long-ordinal-03\\">dritter</term><term name=\\"long-ordinal-04\\">vierter</term><term name=\\"long-ordinal-05\\">f\xfcnfter</term><term name=\\"long-ordinal-06\\">sechster</term><term name=\\"long-ordinal-07\\">siebter</term><term name=\\"long-ordinal-08\\">achter</term><term name=\\"long-ordinal-09\\">neunter</term><term name=\\"long-ordinal-10\\">zehnter</term>\\n\x3c!-- LONG LOCATOR FORMS --\x3e<term name=\\"act\\">\\t\\t\\t <single>act</single><multiple>acts</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"appendix\\">\\t\\t\\t <single>appendix</single><multiple>appendices</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"article-locator\\">\\t\\t\\t <single>article</single><multiple>articles</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"canon\\">\\t\\t\\t <single>canon</single><multiple>canons</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"elocation\\">\\t\\t\\t <single>location</single><multiple>locations</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"equation\\">\\t\\t\\t <single>equation</single><multiple>equations</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"rule\\">\\t\\t\\t <single>rule</single><multiple>rules</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"scene\\">\\t\\t\\t <single>scene</single><multiple>scenes</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"table\\">\\t\\t\\t <single>table</single><multiple>tables</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"timestamp\\"> \x3c!-- generally blank --\x3e<single></single><multiple></multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"title-locator\\">\\t\\t\\t <single>title</single><multiple>titles</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"book\\"><single>Buch</single><multiple>B\xfccher</multiple></term><term name=\\"chapter\\"><single>Kapitel</single><multiple>Kapitel</multiple></term><term name=\\"column\\"><single>Spalte</single><multiple>Spalten</multiple></term><term name=\\"figure\\"><single>Abbildung</single><multiple>Abbildungen</multiple></term><term name=\\"folio\\"><single>Blatt</single><multiple>Bl\xe4tter</multiple></term><term name=\\"issue\\"><single>Nummer</single><multiple>Nummern</multiple></term><term name=\\"line\\"><single>Zeile</single><multiple>Zeilen</multiple></term><term name=\\"note\\"><single>Note</single><multiple>Noten</multiple></term><term name=\\"opus\\"><single>Opus</single><multiple>Opera</multiple></term><term name=\\"page\\"><single>Seite</single><multiple>Seiten</multiple></term><term name=\\"number-of-pages\\"><single>Seite</single><multiple>Seiten</multiple></term><term name=\\"paragraph\\"><single>Absatz</single><multiple>Abs\xe4tze</multiple></term><term name=\\"part\\"><single>Teil</single><multiple>Teile</multiple></term><term name=\\"section\\"><single>Abschnitt</single><multiple>Abschnitte</multiple></term><term name=\\"sub-verbo\\"><single>sub verbo</single><multiple>sub verbis</multiple></term><term name=\\"verse\\"><single>Vers</single><multiple>Verse</multiple></term><term name=\\"volume\\"><single>Band</single><multiple>B\xe4nde</multiple></term>\\n\x3c!-- SHORT LOCATOR FORMS --\x3e<term name=\\"appendix\\">\\t\\t\\t <single>app.</single><multiple>apps.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"article-locator\\">\\t\\t\\t <single>art.</single><multiple>arts.</multiple></term><term name=\\"elocation\\">\\t\\t\\t <single>loc.</single><multiple>locs.</multiple></term><term name=\\"equation\\">\\t\\t\\t <single>eq.</single><multiple>eqs.</multiple></term><term name=\\"rule\\">\\t\\t\\t <single>r.</single><multiple>rr.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"scene\\">\\t\\t\\t <single>sc.</single><multiple>scs.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"table\\">\\t\\t\\t <single>tbl.</single><multiple>tbls.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"timestamp\\"> \x3c!-- generally blank --\x3e<single></single><multiple></multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"title-locator\\">\\t\\t\\t <single>tit.</single><multiple>tits.</multiple></term><term name=\\"book\\" form=\\"short\\">B.</term><term name=\\"chapter\\" form=\\"short\\">Kap.</term><term name=\\"column\\" form=\\"short\\">Sp.</term><term name=\\"figure\\" form=\\"short\\">Abb.</term><term name=\\"folio\\" form=\\"short\\">Fol.</term><term name=\\"issue\\" form=\\"short\\">Nr.</term><term name=\\"line\\" form=\\"short\\">Z.</term><term name=\\"note\\" form=\\"short\\">N.</term><term name=\\"opus\\" form=\\"short\\">op.</term><term name=\\"page\\" form=\\"short\\"><single>S.</single><multiple>S.</multiple></term><term name=\\"number-of-pages\\" form=\\"short\\"><single>S.</single><multiple>S.</multiple></term><term name=\\"paragraph\\" form=\\"short\\">Abs.</term><term name=\\"part\\" form=\\"short\\">Teil</term><term name=\\"section\\" form=\\"short\\">Abschn.</term><term name=\\"sub-verbo\\" form=\\"short\\"><single>s. v.</single><multiple>s. vv.</multiple></term><term name=\\"verse\\" form=\\"short\\"><single>V.</single><multiple>V.</multiple></term><term name=\\"volume\\" form=\\"short\\"><single>Bd.</single><multiple>Bde.</multiple></term>\\n\x3c!-- SYMBOL LOCATOR FORMS --\x3e<term name=\\"paragraph\\" form=\\"symbol\\"><single>\xb6</single><multiple>\xb6\xb6</multiple></term><term name=\\"section\\" form=\\"symbol\\"><single>\xa7</single><multiple>\xa7\xa7</multiple></term>\\n\x3c!-- LONG ROLE FORMS --\x3e<term name=\\"chair\\"><single>chair</single><multiple>chairs</multiple></term><term name=\\"compiler\\"><single>compiler</single><multiple>compilers</multiple></term><term name=\\"contributor\\"><single>contributor</single><multiple>contributors</multiple></term><term name=\\"curator\\"><single>curator</single><multiple>curators</multiple></term><term name=\\"executive-producer\\"><single>executive producer</single><multiple>executive producers</multiple></term><term name=\\"guest\\"><single>guest</single><multiple>guests</multiple></term><term name=\\"host\\"><single>host</single><multiple>hosts</multiple></term><term name=\\"narrator\\"><single>narrator</single><multiple>narrators</multiple></term><term name=\\"organizer\\"><single>organizer</single><multiple>organizers</multiple></term><term name=\\"performer\\"><single>performer</single><multiple>performers</multiple></term><term name=\\"producer\\"><single>producer</single><multiple>producers</multiple></term><term name=\\"script-writer\\"><single>writer</single><multiple>writers</multiple></term><term name=\\"series-creator\\"><single>series creator</single><multiple>series creators</multiple></term><term name=\\"director\\"><single>Regisseur</single><multiple>Regisseure</multiple></term><term name=\\"editor\\"><single>Herausgeber</single><multiple>Herausgeber</multiple></term><term name=\\"collection-editor\\"><single>Reihenherausgeber</single><multiple>Reihenherausgeber</multiple></term><term name=\\"editorial-director\\"><single>Herausgeber</single><multiple>Herausgeber</multiple></term><term name=\\"illustrator\\"><single>Illustrator</single><multiple>Illustratoren</multiple></term><term name=\\"translator\\"><single>\xdcbersetzer</single><multiple>\xdcbersetzer</multiple></term><term name=\\"editortranslator\\"><single>Herausgeber & \xdcbersetzer</single><multiple>Herausgeber & \xdcbersetzer</multiple></term>\\n\x3c!-- SHORT ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"short\\"><single>comp.</single><multiple>comps.</multiple></term><term name=\\"contributor\\" form=\\"short\\"><single>contrib.</single><multiple>contribs.</multiple></term><term name=\\"curator\\" form=\\"short\\"><single>cur.</single><multiple>curs.</multiple></term><term name=\\"executive-producer\\" form=\\"short\\"><single>exec. prod.</single><multiple>exec. prods.</multiple></term><term name=\\"narrator\\" form=\\"short\\"><single>narr.</single><multiple>narrs.</multiple></term><term name=\\"organizer\\" form=\\"short\\"><single>org.</single><multiple>orgs.</multiple></term><term name=\\"performer\\" form=\\"short\\"><single>perf.</single><multiple>perfs.</multiple></term><term name=\\"producer\\" form=\\"short\\"><single>prod.</single><multiple>prods.</multiple></term><term name=\\"script-writer\\" form=\\"short\\"><single>writ.</single><multiple>writs.</multiple></term><term name=\\"series-creator\\" form=\\"short\\"><single>cre.</single><multiple>cres.</multiple></term><term name=\\"director\\" form=\\"short\\"><single>Reg.</single><multiple>Reg.</multiple></term><term name=\\"editor\\" form=\\"short\\"><single>Hrsg.</single><multiple>Hrsg.</multiple></term><term name=\\"collection-editor\\" form=\\"short\\"><single>Hrsg.</single><multiple>Hrsg.</multiple></term><term name=\\"editorial-director\\" form=\\"short\\"><single>Hrsg.</single><multiple>Hrsg.</multiple></term><term name=\\"illustrator\\" form=\\"short\\"><single>Ill.</single><multiple>Ill.</multiple></term><term name=\\"translator\\" form=\\"short\\"><single>\xdcbers.</single><multiple>\xdcbers.</multiple></term><term name=\\"editortranslator\\" form=\\"short\\"><single>Hrsg. & \xdcbers.</single><multiple>Hrsg. & \xdcbers.</multiple></term>\\n\x3c!-- VERB ROLE FORMS --\x3e<term name=\\"chair\\" form=\\"verb\\">chaired by</term><term name=\\"compiler\\" form=\\"verb\\">compiled by</term><term name=\\"contributor\\" form=\\"verb\\">with</term><term name=\\"curator\\" form=\\"verb\\">curated by</term><term name=\\"executive-producer\\" form=\\"verb\\">executive produced by</term><term name=\\"guest\\" form=\\"verb\\">with guest</term><term name=\\"host\\" form=\\"verb\\">hosted by</term><term name=\\"narrator\\" form=\\"verb\\">narrated by</term><term name=\\"organizer\\" form=\\"verb\\">organized by</term><term name=\\"performer\\" form=\\"verb\\">performed by</term><term name=\\"producer\\" form=\\"verb\\">produced by</term><term name=\\"script-writer\\" form=\\"verb\\">written by</term><term name=\\"series-creator\\" form=\\"verb\\">created by</term><term name=\\"container-author\\" form=\\"verb\\">von</term><term name=\\"director\\" form=\\"verb\\">Regie von</term><term name=\\"editor\\" form=\\"verb\\">herausgegeben von</term><term name=\\"collection-editor\\" form=\\"verb\\">herausgegeben von</term><term name=\\"editorial-director\\" form=\\"verb\\">herausgegeben von</term><term name=\\"illustrator\\" form=\\"verb\\">illustriert von</term><term name=\\"interviewer\\" form=\\"verb\\">interviewt von</term><term name=\\"recipient\\" form=\\"verb\\">an</term><term name=\\"reviewed-author\\" form=\\"verb\\">von</term><term name=\\"translator\\" form=\\"verb\\">\xfcbersetzt von</term><term name=\\"editortranslator\\" form=\\"verb\\">herausgegeben und \xfcbersetzt von</term>\\n\x3c!-- SHORT VERB ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"verb-short\\">comp. by</term><term name=\\"contributor\\" form=\\"verb-short\\">w.</term><term name=\\"curator\\" form=\\"verb-short\\">cur. by</term><term name=\\"executive-producer\\" form=\\"verb-short\\">exec. prod. by</term><term name=\\"guest\\" form=\\"verb-short\\">w. guest</term><term name=\\"host\\" form=\\"verb-short\\">hosted by</term><term name=\\"narrator\\" form=\\"verb-short\\">narr. by</term><term name=\\"organizer\\" form=\\"verb-short\\">org. by</term><term name=\\"performer\\" form=\\"verb-short\\">perf. by</term><term name=\\"producer\\" form=\\"verb-short\\">prod. by</term><term name=\\"script-writer\\" form=\\"verb-short\\">writ. by</term><term name=\\"series-creator\\" form=\\"verb-short\\">cre. by</term><term name=\\"director\\" form=\\"verb-short\\">Reg.</term><term name=\\"editor\\" form=\\"verb-short\\">hg. von</term><term name=\\"collection-editor\\" form=\\"verb-short\\">hg. von</term><term name=\\"editorial-director\\" form=\\"verb-short\\">hg. von</term><term name=\\"illustrator\\" form=\\"verb-short\\">illus. von</term><term name=\\"translator\\" form=\\"verb-short\\">\xfcbers. von</term><term name=\\"editortranslator\\" form=\\"verb-short\\">hg. & \xfcbers. von</term>\\n\x3c!-- LONG MONTH FORMS --\x3e<term name=\\"month-01\\">Januar</term><term name=\\"month-02\\">Februar</term><term name=\\"month-03\\">M\xe4rz</term><term name=\\"month-04\\">April</term><term name=\\"month-05\\">Mai</term><term name=\\"month-06\\">Juni</term><term name=\\"month-07\\">Juli</term><term name=\\"month-08\\">August</term><term name=\\"month-09\\">September</term><term name=\\"month-10\\">Oktober</term><term name=\\"month-11\\">November</term><term name=\\"month-12\\">Dezember</term>\\n\x3c!-- SHORT MONTH FORMS --\x3e<term name=\\"month-01\\" form=\\"short\\">Jan.</term><term name=\\"month-02\\" form=\\"short\\">Feb.</term><term name=\\"month-03\\" form=\\"short\\">M\xe4rz</term><term name=\\"month-04\\" form=\\"short\\">Apr.</term><term name=\\"month-05\\" form=\\"short\\">Mai</term><term name=\\"month-06\\" form=\\"short\\">Juni</term><term name=\\"month-07\\" form=\\"short\\">Juli</term><term name=\\"month-08\\" form=\\"short\\">Aug.</term><term name=\\"month-09\\" form=\\"short\\">Sep.</term><term name=\\"month-10\\" form=\\"short\\">Okt.</term><term name=\\"month-11\\" form=\\"short\\">Nov.</term><term name=\\"month-12\\" form=\\"short\\">Dez.</term>\\n\x3c!-- SEASONS --\x3e<term name=\\"season-01\\">Fr\xfchjahr</term><term name=\\"season-02\\">Sommer</term><term name=\\"season-03\\">Herbst</term><term name=\\"season-04\\">Winter</term></terms>\\n</locale>\\n","es-ES":"<?xml version=\\"1.0\\" encoding=\\"utf-8\\"?>\\n<locale xmlns=\\"http://purl.org/net/xbiblio/csl\\" version=\\"1.0\\" xml:lang=\\"es-ES\\"><info><translator><name>javimat</name></translator><rights license=\\"http://creativecommons.org/licenses/by-sa/3.0/\\">This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 License</rights><updated>2012-07-04T23:31:02+00:00</updated></info><style-options punctuation-in-quote=\\"false\\"/><date form=\\"text\\"><date-part name=\\"day\\" suffix=\\" de \\"/><date-part name=\\"month\\" suffix=\\" de \\"/><date-part name=\\"year\\"/></date><date form=\\"numeric\\"><date-part name=\\"day\\" form=\\"numeric-leading-zeros\\" suffix=\\"/\\"/><date-part name=\\"month\\" form=\\"numeric-leading-zeros\\" suffix=\\"/\\"/><date-part name=\\"year\\"/></date><terms><term name=\\"advance-online-publication\\">advance online publication</term><term name=\\"album\\">album</term><term name=\\"audio-recording\\">audio recording</term><term name=\\"film\\">film</term><term name=\\"henceforth\\">henceforth</term><term name=\\"loc-cit\\">loc. cit.</term> \x3c!-- like ibid., the abbreviated form is the regular form --\x3e<term name=\\"no-place\\">no place</term><term name=\\"no-place\\" form=\\"short\\">n.p.</term><term name=\\"no-publisher\\">no publisher</term> \x3c!-- sine nomine --\x3e<term name=\\"no-publisher\\" form=\\"short\\">n.p.</term><term name=\\"on\\">on</term><term name=\\"op-cit\\">op. cit.</term> \x3c!-- like ibid., the abbreviated form is the regular form --\x3e<term name=\\"original-work-published\\">original work published</term><term name=\\"personal-communication\\">comunicaci\xf3n personal</term><term name=\\"podcast\\">podcast</term><term name=\\"podcast-episode\\">podcast episode</term><term name=\\"preprint\\">preprint</term><term name=\\"radio-broadcast\\">radio broadcast</term><term name=\\"radio-series\\">radio series</term><term name=\\"radio-series-episode\\">radio series episode</term><term name=\\"special-issue\\">special issue</term><term name=\\"special-section\\">special section</term><term name=\\"television-broadcast\\">television broadcast</term><term name=\\"television-series\\">television series</term><term name=\\"television-series-episode\\">television series episode</term><term name=\\"video\\">video</term><term name=\\"working-paper\\">working paper</term><term name=\\"accessed\\">accedido</term><term name=\\"and\\">y</term><term name=\\"and others\\">y otros</term><term name=\\"anonymous\\">an\xf3nimo</term><term name=\\"anonymous\\" form=\\"short\\">an\xf3n.</term><term name=\\"at\\">en</term><term name=\\"available at\\">disponible en</term><term name=\\"by\\">de</term><term name=\\"circa\\">circa</term><term name=\\"circa\\" form=\\"short\\">c.</term><term name=\\"cited\\">citado</term><term name=\\"edition\\"><single>edici\xf3n</single><multiple>ediciones</multiple></term><term name=\\"edition\\" form=\\"short\\">ed.</term><term name=\\"et-al\\">et al.</term><term name=\\"forthcoming\\">previsto</term><term name=\\"from\\">a partir de</term><term name=\\"ibid\\">ibid.</term><term name=\\"in\\">en</term><term name=\\"in press\\">en imprenta</term><term name=\\"internet\\">internet</term><term name=\\"interview\\">entrevista</term><term name=\\"letter\\">carta</term><term name=\\"no date\\">sin fecha</term><term name=\\"no date\\" form=\\"short\\">s. f.</term><term name=\\"online\\">en l\xednea</term><term name=\\"presented at\\">presentado en</term><term name=\\"reference\\"><single>referencia</single><multiple>referencias</multiple></term><term name=\\"reference\\" form=\\"short\\"><single>ref.</single><multiple>refs.</multiple></term><term name=\\"retrieved\\">recuperado</term><term name=\\"scale\\">escala</term><term name=\\"version\\">versi\xf3n</term>\\n\x3c!-- LONG ITEM TYPE FORMS --\x3e<term name=\\"article\\">preprint</term><term name=\\"article-journal\\">journal article</term><term name=\\"article-magazine\\">magazine article</term><term name=\\"article-newspaper\\">newspaper article</term><term name=\\"bill\\">bill</term><term name=\\"book\\">book</term><term name=\\"broadcast\\">broadcast</term><term name=\\"chapter\\">book chapter</term><term name=\\"classic\\">classic</term><term name=\\"collection\\">collection</term><term name=\\"dataset\\">dataset</term><term name=\\"document\\">document</term><term name=\\"entry\\">entry</term><term name=\\"entry-dictionary\\">dictionary entry</term><term name=\\"entry-encyclopedia\\">encyclopedia entry</term><term name=\\"event\\">event</term>\x3c!-- figure is in the list of locator terms --\x3e<term name=\\"graphic\\">graphic</term><term name=\\"hearing\\">hearing</term><term name=\\"interview\\">interview</term><term name=\\"legal_case\\">legal case</term><term name=\\"legislation\\">legislation</term><term name=\\"manuscript\\">manuscript</term><term name=\\"map\\">map</term><term name=\\"motion_picture\\">video recording</term><term name=\\"musical_score\\">musical score</term><term name=\\"pamphlet\\">pamphlet</term><term name=\\"paper-conference\\">conference paper</term><term name=\\"patent\\">patent</term><term name=\\"performance\\">performance</term><term name=\\"periodical\\">periodical</term><term name=\\"personal_communication\\">comunicaci\xf3n personal</term><term name=\\"post\\">post</term><term name=\\"post-weblog\\">blog post</term><term name=\\"regulation\\">regulation</term><term name=\\"report\\">report</term><term name=\\"review\\">review</term><term name=\\"review-book\\">book review</term><term name=\\"software\\">software</term><term name=\\"song\\">audio recording</term><term name=\\"speech\\">presentation</term><term name=\\"standard\\">standard</term><term name=\\"thesis\\">thesis</term><term name=\\"treaty\\">treaty</term><term name=\\"webpage\\">webpage</term>\\n\x3c!-- SHORT ITEM TYPE FORMS --\x3e<term name=\\"article-journal\\" form=\\"short\\">journal art.</term><term name=\\"article-magazine\\" form=\\"short\\">mag. art.</term><term name=\\"article-newspaper\\" form=\\"short\\">newspaper art.</term><term name=\\"book\\" form=\\"short\\">bk.</term><term name=\\"chapter\\" form=\\"short\\">bk. chap.</term><term name=\\"document\\" form=\\"short\\">doc.</term>\x3c!-- figure is in the list of locator terms --\x3e<term name=\\"graphic\\" form=\\"short\\">graph.</term><term name=\\"interview\\" form=\\"short\\">interv.</term><term name=\\"manuscript\\" form=\\"short\\">MS</term><term name=\\"motion_picture\\" form=\\"short\\">video rec.</term><term name=\\"report\\" form=\\"short\\">rep.</term><term name=\\"review\\" form=\\"short\\">rev.</term><term name=\\"review-book\\" form=\\"short\\">bk. rev.</term><term name=\\"song\\" form=\\"short\\">audio rec.</term>\\n\x3c!-- HISTORICAL ERA TERMS --\x3e<term name=\\"ad\\">d. C.</term><term name=\\"bc\\">a. C.</term><term name=\\"bce\\">BCE</term><term name=\\"ce\\">CE</term>\\n\x3c!-- PUNCTUATION --\x3e<term name=\\"open-quote\\">\xab</term><term name=\\"close-quote\\">\xbb</term><term name=\\"open-inner-quote\\">\u201c</term><term name=\\"close-inner-quote\\">\u201d</term><term name=\\"page-range-delimiter\\">-</term><term name=\\"colon\\">:</term><term name=\\"comma\\">,</term><term name=\\"semicolon\\">;</term>\\n\x3c!-- ORDINALS --\x3e<term name=\\"ordinal\\">.\xaa</term>\\n\x3c!-- LONG ORDINALS --\x3e<term name=\\"long-ordinal-01\\">primera</term><term name=\\"long-ordinal-02\\">segunda</term><term name=\\"long-ordinal-03\\">tercera</term><term name=\\"long-ordinal-04\\">cuarta</term><term name=\\"long-ordinal-05\\">quinta</term><term name=\\"long-ordinal-06\\">sexta</term><term name=\\"long-ordinal-07\\">s\xe9ptima</term><term name=\\"long-ordinal-08\\">octava</term><term name=\\"long-ordinal-09\\">novena</term><term name=\\"long-ordinal-10\\">d\xe9cima</term>\\n\x3c!-- LONG LOCATOR FORMS --\x3e<term name=\\"act\\">\\t\\t\\t <single>act</single><multiple>acts</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"appendix\\">\\t\\t\\t <single>appendix</single><multiple>appendices</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"article-locator\\">\\t\\t\\t <single>article</single><multiple>articles</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"canon\\">\\t\\t\\t <single>canon</single><multiple>canons</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"elocation\\">\\t\\t\\t <single>location</single><multiple>locations</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"equation\\">\\t\\t\\t <single>equation</single><multiple>equations</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"rule\\">\\t\\t\\t <single>rule</single><multiple>rules</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"scene\\">\\t\\t\\t <single>scene</single><multiple>scenes</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"table\\">\\t\\t\\t <single>table</single><multiple>tables</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"timestamp\\"> \x3c!-- generally blank --\x3e<single></single><multiple></multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"title-locator\\">\\t\\t\\t <single>title</single><multiple>titles</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"book\\"><single>libro</single><multiple>libros</multiple></term><term name=\\"chapter\\"><single>cap\xedtulo</single><multiple>cap\xedtulos</multiple></term><term name=\\"column\\"><single>columna</single><multiple>columnas</multiple></term><term name=\\"figure\\"><single>figura</single><multiple>figuras</multiple></term><term name=\\"folio\\"><single>folio</single><multiple>folios</multiple></term><term name=\\"issue\\"><single>n\xfamero</single><multiple>n\xfameros</multiple></term><term name=\\"line\\"><single>l\xednea</single><multiple>l\xedneas</multiple></term><term name=\\"note\\"><single>nota</single><multiple>notas</multiple></term><term name=\\"opus\\"><single>opus</single><multiple>opera</multiple></term><term name=\\"page\\"><single>p\xe1gina</single><multiple>p\xe1ginas</multiple></term><term name=\\"number-of-pages\\"><single>p\xe1gina</single><multiple>p\xe1ginas</multiple></term><term name=\\"paragraph\\"><single>p\xe1rrafo</single><multiple>p\xe1rrafos</multiple></term><term name=\\"part\\"><single>parte</single><multiple>partes</multiple></term><term name=\\"section\\"><single>secci\xf3n</single><multiple>secciones</multiple></term><term name=\\"sub-verbo\\"><single>sub voce</single><multiple>sub vocibus</multiple></term><term name=\\"verse\\"><single>verso</single><multiple>versos</multiple></term><term name=\\"volume\\"><single>volumen</single><multiple>vol\xfamenes</multiple></term>\\n\x3c!-- SHORT LOCATOR FORMS --\x3e<term name=\\"appendix\\">\\t\\t\\t <single>app.</single><multiple>apps.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"article-locator\\">\\t\\t\\t <single>art.</single><multiple>arts.</multiple></term><term name=\\"elocation\\">\\t\\t\\t <single>loc.</single><multiple>locs.</multiple></term><term name=\\"equation\\">\\t\\t\\t <single>eq.</single><multiple>eqs.</multiple></term><term name=\\"rule\\">\\t\\t\\t <single>r.</single><multiple>rr.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"scene\\">\\t\\t\\t <single>sc.</single><multiple>scs.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"table\\">\\t\\t\\t <single>tbl.</single><multiple>tbls.</multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"timestamp\\"> \x3c!-- generally blank --\x3e<single></single><multiple></multiple>\\t\\t\\t\\t\\t\\t </term><term name=\\"title-locator\\">\\t\\t\\t <single>tit.</single><multiple>tits.</multiple></term><term name=\\"book\\" form=\\"short\\">lib.</term><term name=\\"chapter\\" form=\\"short\\">cap.</term><term name=\\"column\\" form=\\"short\\">col.</term><term name=\\"figure\\" form=\\"short\\">fig.</term><term name=\\"folio\\" form=\\"short\\">f.</term><term name=\\"issue\\" form=\\"short\\">n.\xba</term><term name=\\"line\\" form=\\"short\\">l.</term><term name=\\"note\\" form=\\"short\\">n.</term><term name=\\"opus\\" form=\\"short\\">op.</term><term name=\\"page\\" form=\\"short\\"><single>p.</single><multiple>pp.</multiple></term><term name=\\"number-of-pages\\" form=\\"short\\"><single>p.</single><multiple>pp.</multiple></term><term name=\\"paragraph\\" form=\\"short\\">p\xe1rr.</term><term name=\\"part\\" form=\\"short\\">pt.</term><term name=\\"section\\" form=\\"short\\">sec.</term><term name=\\"sub-verbo\\" form=\\"short\\"><single>s. v.</single><multiple>s. vv.</multiple></term><term name=\\"verse\\" form=\\"short\\"><single>v.</single><multiple>vv.</multiple></term><term name=\\"volume\\" form=\\"short\\"><single>vol.</single><multiple>vols.</multiple></term>\\n\x3c!-- SYMBOL LOCATOR FORMS --\x3e<term name=\\"paragraph\\" form=\\"symbol\\"><single>\xa7</single><multiple>\xa7</multiple></term><term name=\\"section\\" form=\\"symbol\\"><single>\xa7</single><multiple>\xa7</multiple></term>\\n\x3c!-- LONG ROLE FORMS --\x3e<term name=\\"chair\\"><single>chair</single><multiple>chairs</multiple></term><term name=\\"compiler\\"><single>compiler</single><multiple>compilers</multiple></term><term name=\\"contributor\\"><single>contributor</single><multiple>contributors</multiple></term><term name=\\"curator\\"><single>curator</single><multiple>curators</multiple></term><term name=\\"executive-producer\\"><single>executive producer</single><multiple>executive producers</multiple></term><term name=\\"guest\\"><single>guest</single><multiple>guests</multiple></term><term name=\\"host\\"><single>host</single><multiple>hosts</multiple></term><term name=\\"narrator\\"><single>narrator</single><multiple>narrators</multiple></term><term name=\\"organizer\\"><single>organizer</single><multiple>organizers</multiple></term><term name=\\"performer\\"><single>performer</single><multiple>performers</multiple></term><term name=\\"producer\\"><single>producer</single><multiple>producers</multiple></term><term name=\\"script-writer\\"><single>writer</single><multiple>writers</multiple></term><term name=\\"series-creator\\"><single>series creator</single><multiple>series creators</multiple></term><term name=\\"director\\"><single>director</single><multiple>directores</multiple></term><term name=\\"editor\\"><single>editor</single><multiple>editores</multiple></term><term name=\\"editorial-director\\"><single>editor</single><multiple>editores</multiple></term><term name=\\"illustrator\\"><single>ilustrador</single><multiple>ilustradores</multiple></term><term name=\\"translator\\"><single>traductor</single><multiple>traductores</multiple></term><term name=\\"editortranslator\\"><single>editor y traductor</single><multiple>editores y traductores</multiple></term>\\n\x3c!-- SHORT ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"short\\"><single>comp.</single><multiple>comps.</multiple></term><term name=\\"contributor\\" form=\\"short\\"><single>contrib.</single><multiple>contribs.</multiple></term><term name=\\"curator\\" form=\\"short\\"><single>cur.</single><multiple>curs.</multiple></term><term name=\\"executive-producer\\" form=\\"short\\"><single>exec. prod.</single><multiple>exec. prods.</multiple></term><term name=\\"narrator\\" form=\\"short\\"><single>narr.</single><multiple>narrs.</multiple></term><term name=\\"organizer\\" form=\\"short\\"><single>org.</single><multiple>orgs.</multiple></term><term name=\\"performer\\" form=\\"short\\"><single>perf.</single><multiple>perfs.</multiple></term><term name=\\"producer\\" form=\\"short\\"><single>prod.</single><multiple>prods.</multiple></term><term name=\\"script-writer\\" form=\\"short\\"><single>writ.</single><multiple>writs.</multiple></term><term name=\\"series-creator\\" form=\\"short\\"><single>cre.</single><multiple>cres.</multiple></term><term name=\\"director\\" form=\\"short\\"><single>dir.</single><multiple>dirs.</multiple></term><term name=\\"editor\\" form=\\"short\\"><single>ed.</single><multiple>eds.</multiple></term><term name=\\"editorial-director\\" form=\\"short\\"><single>ed.</single><multiple>eds.</multiple></term><term name=\\"illustrator\\" form=\\"short\\"><single>ilust.</single><multiple>ilusts.</multiple></term><term name=\\"translator\\" form=\\"short\\"><single>trad.</single><multiple>trads.</multiple></term><term name=\\"editortranslator\\" form=\\"short\\"><single>ed. y trad.</single><multiple>eds. y trads.</multiple></term>\\n\x3c!-- VERB ROLE FORMS --\x3e<term name=\\"chair\\" form=\\"verb\\">chaired by</term><term name=\\"compiler\\" form=\\"verb\\">compiled by</term><term name=\\"contributor\\" form=\\"verb\\">with</term><term name=\\"curator\\" form=\\"verb\\">curated by</term><term name=\\"executive-producer\\" form=\\"verb\\">executive produced by</term><term name=\\"guest\\" form=\\"verb\\">with guest</term><term name=\\"host\\" form=\\"verb\\">hosted by</term><term name=\\"narrator\\" form=\\"verb\\">narrated by</term><term name=\\"organizer\\" form=\\"verb\\">organized by</term><term name=\\"performer\\" form=\\"verb\\">performed by</term><term name=\\"producer\\" form=\\"verb\\">produced by</term><term name=\\"script-writer\\" form=\\"verb\\">written by</term><term name=\\"series-creator\\" form=\\"verb\\">created by</term><term name=\\"container-author\\" form=\\"verb\\">de</term><term name=\\"director\\" form=\\"verb\\">dirigido por</term><term name=\\"editor\\" form=\\"verb\\">editado por</term><term name=\\"editorial-director\\" form=\\"verb\\">editado por</term><term name=\\"illustrator\\" form=\\"verb\\">ilustrado por</term><term name=\\"interviewer\\" form=\\"verb\\">entrevistado por</term><term name=\\"recipient\\" form=\\"verb\\">a</term><term name=\\"reviewed-author\\" form=\\"verb\\">por</term><term name=\\"translator\\" form=\\"verb\\">traducido por</term><term name=\\"editortranslator\\" form=\\"verb\\">editado y traducido por</term>\\n\x3c!-- SHORT VERB ROLE FORMS --\x3e<term name=\\"compiler\\" form=\\"verb-short\\">comp. by</term><term name=\\"contributor\\" form=\\"verb-short\\">w.</term><term name=\\"curator\\" form=\\"verb-short\\">cur. by</term><term name=\\"executive-producer\\" form=\\"verb-short\\">exec. prod. by</term><term name=\\"guest\\" form=\\"verb-short\\">w. guest</term><term name=\\"host\\" form=\\"verb-short\\">hosted by</term><term name=\\"narrator\\" form=\\"verb-short\\">narr. by</term><term name=\\"organizer\\" form=\\"verb-short\\">org. by</term><term name=\\"performer\\" form=\\"verb-short\\">perf. by</term><term name=\\"producer\\" form=\\"verb-short\\">prod. by</term><term name=\\"script-writer\\" form=\\"verb-short\\">writ. by</term><term name=\\"series-creator\\" form=\\"verb-short\\">cre. by</term><term name=\\"director\\" form=\\"verb-short\\">dir.</term><term name=\\"editor\\" form=\\"verb-short\\">ed.</term><term name=\\"editorial-director\\" form=\\"verb-short\\">ed.</term><term name=\\"illustrator\\" form=\\"verb-short\\">ilust.</term><term name=\\"translator\\" form=\\"verb-short\\">trad.</term><term name=\\"editortranslator\\" form=\\"verb-short\\">ed. y trad.</term>\\n\x3c!-- LONG MONTH FORMS --\x3e<term name=\\"month-01\\">enero</term><term name=\\"month-02\\">febrero</term><term name=\\"month-03\\">marzo</term><term name=\\"month-04\\">abril</term><term name=\\"month-05\\">mayo</term><term name=\\"month-06\\">junio</term><term name=\\"month-07\\">julio</term><term name=\\"month-08\\">agosto</term><term name=\\"month-09\\">septiembre</term><term 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Wiernikzotero@wiernik.org2022-01-31T14:43:56+00:00This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Licenseed. & trans.eds. & trans.trans.interviewerinterviewersed.eds.ca. B.C.E. C.E.personal communicationletterissueissuespersoonlike kommunikasiebrief\u0627\u062a\u0635\u0627\u0644 \u0634\u062e\u0635\u064a\u062e\u0637\u0627\u0628\u043b\u0438\u0447\u043d\u0430 \u043a\u043e\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u044f\u043f\u0438\u0441\u043c\u043ecomunicaci\xf3 personalcartaosobn\xed komunikacedopiscyfathrebu personolllythyret al.personlig kommunikationbrevet al.pers\xf6nliche KommunikationBrief\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03b5\u03c0\u03b9\u03c3\u03c4\u03bf\u03bb\u03aedecomunicaci\xf3n personalcartaisiklik suhtluskirikomunikazio pertsonalagutuna\u0627\u0631\u062a\u0628\u0627\u0637 \u0634\u062e\u0635\u06cc\u0646\u0627\u0645\u0647henkil\xf6kohtainen viestint\xe4kirjecommunication personnellelettre\xe9d.\xe9ds.\u05ea\u05e7\u05e9\u05d5\u05e8\u05ea \u05d0\u05d9\u05e9\u05d9\u05ea\u05de\u05db\u05ea\u05d1osobna komunikacijapismoszem\xe9lyes kommunik\xe1ci\xf3lev\xe9lkomunikasi pribadisuratpers\xf3nuleg samskiptibr\xe9fcomunicazione personalelettera\u500b\u4eba\u7684\u306a\u3084\u308a\u53d6\u308a\u624b\u7d19\uac1c\uc778 \uc11c\uc2e0\ud3b8\uc9c0epistulacommunicationis personalisperson\u012bga komunik\u0101cijav\u0113stule\u0445\u0443\u0432\u0438\u0439\u043d \u0445\u0430\u0440\u0438\u043b\u0446\u0430\u0430 \u0445\u043e\u043b\u0431\u043e\u043e\u0437\u0430\u0445\u0438\u0430et al.personlig kommunikasjonbrevet al.persoonlijke communicatiebriefet al.personlig kommunikasjonbrevosobista komunikacjalistcomunica\xe7\xe3o pessoalcartacomunicare personal\u0103scrisoare\u043b\u0438\u0447\u043d\u0430\u044f \u043f\u0435\u0440\u0435\u043f\u0438\u0441\u043a\u0430\u043f\u0438\u0441\u044c\u043c\u043eosobn\xe1 komunik\xe1cialistosebna komunikacijapismo\u043b\u0438\u0447\u043d\u0430 \u043a\u043e\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u0458\u0430\u043f\u0438\u0441\u043c\u043epersonlig kommunikationbrev\u0e01\u0e32\u0e23\u0e2a\u0e37\u0e48\u0e2d\u0e2a\u0e32\u0e23\u0e2a\u0e48\u0e27\u0e19\u0e1a\u0e38\u0e04\u0e04\u0e25\u0e08\u0e14\u0e2b\u0e21\u0e32\u0e22ki\u015fisel ileti\u015fimmektup\u043e\u0441\u043e\u0431\u0438\u0441\u0442\u0435 \u0441\u043f\u0456\u043b\u043a\u0443\u0432\u0430\u043d\u043d\u044f\u043b\u0438\u0441\u0442giao ti\u1ebfp c\xe1 nh\xe2nth\u01b0\u7684\u79c1\u4eba\u4ea4\u6d41\u4fe1\u51fd\u79c1\u4eba\u901a\u8a0a\u4fe1\u51fd\x3c!-- General categories of item types:Periodical: article-journal article-magazine article-newspaper post-weblog review review-bookPeriodical or Booklike: paper-conferenceBooklike: article book broadcast chapter dataset entry entry-dictionary entry-encyclopedia figure graphic interview manuscript map motion_picture musical_score pamphlet patent personal_communication report song speech thesis post webpageLegal: bill legal_case legislation treaty--\x3e\x3c!-- APA references contain four parts: author, date, title, source --\x3e\x3c!-- Test for editortranslator and put that first as that becomes available --\x3e\x3c!-- These variables indicate that the letter is retrievable by the reader. If not, then use the APA in-text-only personal communication format --\x3e\x3c!-- Replace with term=\\"personal-communication\\" if that becomes available --\x3e\x3c!-- Many video and audio examples in manual give full dates. Err on the side of too much information. --\x3e\x3c!-- Capture \'speech\' stored as \'paper-conference\' --\x3e\x3c!-- Only year: article article-journal book chapter entry entry-dictionary entry-encyclopedia dataset figure graphic manuscript map musical_score paper-conference[published] patent report review review-book thesis --\x3e\x3c!-- APA sorts 1. no-date items, 2. items with dates, 3. in-press (status) items --\x3e\x3c!-- These variables indicate that the communication is retrievable by the reader. 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As in title macro. --\x3e\x3c!-- (Secondary contributors; Database location; Genre no. 123; Report Series 123, Version, Edition, Volume, Page) --\x3e\x3c!-- authority: U.S. ; genre: patent ; number: 123,445 --\x3e\x3c!-- This should be localized --\x3e\x3c!-- Replace with label variable=\\"number\\" if that becomes available --\x3e\x3c!-- For post webpage, container-title is treated as publisher --\x3e\x3c!-- For audiovisual media, number information comes after title, not container-title --\x3e\x3c!-- For audiovisual media, number information comes after title, not container-title --\x3e\x3c!-- [Descriptive information] --\x3e\x3c!-- If there is a number, genre is already printed in macro=\\"number\\" --\x3e\x3c!-- Reviewed item --\x3e\x3c!-- Assume that genre is entered as \'Review of the book\' or similar --\x3e\x3c!-- Replace with term=\\"review\\" as that becomes available --\x3e\x3c!-- Replace with term=\\"review\\" as that becomes available --\x3e\x3c!-- Thesis type and institution --\x3e\x3c!-- Include the university in brackets if thesis is published --\x3e\x3c!-- Interview information --\x3e\x3c!-- Letter information --\x3e\x3c!-- Performer of classical music works --\x3e\x3c!-- Replace prefix with performer label as that becomes available --\x3e\x3c!-- Replace prefix with performer label as that becomes available --\x3e\x3c!-- Replace prefix with performer label as that becomes available --\x3e\x3c!-- Replace prefix with performer label as that becomes available --\x3e\x3c!-- Replace prefix with performer label as that becomes available --\x3e\x3c!-- Other description --\x3e\x3c!-- For conference presentations, chapters in reports, software, place bracketed after the container title --\x3e\x3c!-- This should be localized --\x3e\x3c!-- Letter information --\x3e\x3c!-- Conference presentations should describe the session [container] in bracketed unless published in a proceedings --\x3e\x3c!-- For entries in mobile app reference works, place bracketed after the container-title --\x3e\x3c!-- For chapters in reports, place bracketed after the container title --\x3e\x3c!-- When editortranslator becomes available, add a test: variable=\\"editortranslator\\" match=\\"none\\"; then print translator --\x3e\x3c!-- Webpages treat container-title like publisher --\x3e\x3c!-- With `archive-place`: physical archives. 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To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.",date:"2020-06-18T00:00:00.000Z",formattedDate:"June 18, 2020",tags:[{label:"CEC1",permalink:"/blog/tags/cec-1"},{label:"focus group",permalink:"/blog/tags/focus-group"},{label:"noise",permalink:"/blog/tags/noise"},{label:"sounds",permalink:"/blog/tags/sounds"}],readingTime:3.425,hasTruncateMarker:!0,authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"Sounds",title:"Sounds for round one",author:"Trevor Cox",author_title:"Clarity Team Member",author_url:"http://trevorcox.me/trevor-cox",author_image_url:"https://avatars.githubusercontent.com/trevorjcox",tags:["CEC1","focus group","noise","sounds"]},unlisted:!1,prevItem:{title:"Hearing loss simulation",permalink:"/blog/Hearing loss simulation"},nextItem:{title:"The speech-in-noise problem",permalink:"/blog/The speech-in-noise problem"}},a={authorsImageUrls:[void 0]},h=[{value:"Everyday background noises that interfere with understanding of speech",id:"everyday-background-noises-that-interfere-with-understanding-of-speech",level:2},{value:"Family and friends",id:"family-and-friends",level:2},{value:"Outside",id:"outside",level:2},{value:"Characteristics of processed speech to consider",id:"characteristics-of-processed-speech-to-consider",level:2},{value:"Other comments",id:"other-comments",level:2},{value:"Credits",id:"credits",level:2}];function c(e){const i={a:"a",h2:"h2",img:"img",li:"li",p:"p",ul:"ul",...(0,r.M)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.p,{children:"We\u2019ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group."}),"\n",(0,s.jsx)(i.p,{children:"We wanted to know about"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Everyday background noises that make having a conversation difficult."}),"\n",(0,s.jsx)(i.li,{children:"The characteristics of speech after it has been processed by a hearing-aid that hearing aid listeners would value."}),"\n"]}),"\n",(0,s.jsxs)(i.p,{children:["A total of eight patients (four males, four females) attended the meeting, six of whom were recruited from the ",(0,s.jsx)(i.a,{href:"https://nottinghambrc.nihr.ac.uk/",children:"Nottingham Biomedical Research Centre\u2019s"})," patient and public involvement contact list. Two attendees were recruited from a local lip reading class organised by the ",(0,s.jsx)(i.a,{href:"https://www.nottsdeaf.org.uk/",children:"Nottinghamshire Deaf Society"}),". The range of hearing loss within the group is from mild to severe. They all regularly use bilateral hearing aids."]}),"\n",(0,s.jsx)(i.p,{children:"Our focus was on the living room because that is the scenario for round one of the challenges."}),"\n",(0,s.jsx)(i.p,{children:(0,s.jsx)(i.img,{alt:"People Listening",src:n(83760).c+"",width:"1280",height:"853"})}),"\n",(0,s.jsx)(i.p,{children:"Photo by Gustavo Fring from Pexels"}),"\n","\n",(0,s.jsx)(i.h2,{id:"everyday-background-noises-that-interfere-with-understanding-of-speech",children:"Everyday background noises that interfere with understanding of speech"}),"\n",(0,s.jsx)(i.p,{children:"A long and varied list of sounds cause problems. These lists are in no particular order."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Living room or space"}),"\n",(0,s.jsx)(i.li,{children:"Clocks ticking"}),"\n",(0,s.jsx)(i.li,{children:"Crisp packets rustling"}),"\n",(0,s.jsx)(i.li,{children:"Taps running"}),"\n",(0,s.jsx)(i.li,{children:"Kettles boiling"}),"\n",(0,s.jsx)(i.li,{children:"Dishwasher"}),"\n",(0,s.jsx)(i.li,{children:"Microwave"}),"\n",(0,s.jsx)(i.li,{children:"Washing machine"}),"\n",(0,s.jsx)(i.li,{children:"TV, music, radio"}),"\n",(0,s.jsx)(i.li,{children:"Phone ringing (or receiving texts \u2013 unknown beeps/tones)"}),"\n",(0,s.jsx)(i.li,{children:"Newspapers rustling"}),"\n",(0,s.jsx)(i.li,{children:"Air-conditioning and oven extractor fans"}),"\n",(0,s.jsx)(i.li,{children:"Vacuum cleaner"}),"\n",(0,s.jsx)(i.li,{children:"Doorbell ringing"}),"\n",(0,s.jsx)(i.li,{children:"Dog barking"}),"\n",(0,s.jsx)(i.li,{children:"Rain on window"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"family-and-friends",children:"Family and friends"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Cutlery/crockery banging/clanging"}),"\n",(0,s.jsx)(i.li,{children:"Doors opening/closing (to rooms and cupboards)"}),"\n",(0,s.jsx)(i.li,{children:"Music"}),"\n",(0,s.jsx)(i.li,{children:"People walking around the room"}),"\n",(0,s.jsx)(i.li,{children:"Children playing with toys"}),"\n",(0,s.jsx)(i.li,{children:"Laughing"}),"\n",(0,s.jsx)(i.li,{children:"People talking from another room"}),"\n",(0,s.jsx)(i.li,{children:"Speakers from a different conversation in close proximity (i.e. beside you) when you are trying to converse"}),"\n",(0,s.jsx)(i.li,{children:"Traffic outside"}),"\n",(0,s.jsx)(i.li,{children:"Chewing/chomping"}),"\n",(0,s.jsx)(i.li,{children:"Steam pipes/ coffee machines"}),"\n",(0,s.jsx)(i.li,{children:"Chairs being moved"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"outside",children:"Outside"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Church bells"}),"\n",(0,s.jsx)(i.li,{children:"Market noise"}),"\n",(0,s.jsx)(i.li,{children:"Footsteps on different types of ground, i.e. heels on hard floors but also wellingtons in mud"}),"\n",(0,s.jsx)(i.li,{children:"Clothes rustling (such as waterproof coats or hat on hearing aid)"}),"\n",(0,s.jsx)(i.li,{children:"Wind (even with HA on \u2018wind setting\u2019)"}),"\n",(0,s.jsx)(i.li,{children:"Pigeons/birds"}),"\n",(0,s.jsx)(i.li,{children:"Sirens"}),"\n",(0,s.jsx)(i.li,{children:"Traffic noise (especially at junctions)"}),"\n",(0,s.jsx)(i.li,{children:"Music"}),"\n",(0,s.jsx)(i.li,{children:"Laughter"}),"\n",(0,s.jsx)(i.li,{children:"Phones ringing"}),"\n",(0,s.jsx)(i.li,{children:"Tills"}),"\n",(0,s.jsx)(i.li,{children:"Children playing outside or running around (in shops, on the street and at parks)"}),"\n",(0,s.jsx)(i.li,{children:"Beeping signal at crossings"}),"\n",(0,s.jsx)(i.li,{children:"Garden centres \u2013 high glass ceilings, open plan, trolleys"}),"\n",(0,s.jsx)(i.li,{children:"Road/ tyre and traffic noise when in a car or on the bus"}),"\n",(0,s.jsx)(i.li,{children:"Also mentioned how people you speak to in the car may be in front or behind you"}),"\n",(0,s.jsx)(i.li,{children:"Trains and the tube"}),"\n",(0,s.jsx)(i.li,{children:"Aeroplanes and airports (suitcases rolling)"}),"\n",(0,s.jsx)(i.li,{children:"Tannoys"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"characteristics-of-processed-speech-to-consider",children:"Characteristics of processed speech to consider"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Clarity (clearness) or quality"}),"\n",(0,s.jsx)(i.li,{children:"Rhythm of speech"}),"\n",(0,s.jsx)(i.li,{children:"\u2018Inflection\u2019 (intonation)"}),"\n",(0,s.jsx)(i.li,{children:"Similarity to original speaker"}),"\n",(0,s.jsx)(i.li,{children:"Agreed that in situations where the voice would not be processed clearly, i.e. outside with many noise sources, not sounding like the original - speaker is fine."}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"other-comments",children:"Other comments"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Speed of speech; it was suggested that we have sentences read at different speeds as faster talkers are often harder to understand."}),"\n",(0,s.jsx)(i.li,{children:"Stated that emphasis on key words is useful for following conversation; perhaps key words in the sentence when marked should be given higher value."}),"\n",(0,s.jsx)(i.li,{children:"Lots of comments on room acoustics, i.e., ceiling heights, furnishings, floorings, windows etc., which has a big impact on how difficult it is to have a conversation with background noise."}),"\n",(0,s.jsx)(i.li,{children:"Different accents of talkers can make conversation more difficult; including speakers with different accents in the background."}),"\n",(0,s.jsx)(i.li,{children:"We\u2019re now working out what sounds to use. But are there other sounds we should consider?"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"credits",children:"Credits"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Thank you to the patient and public involvement representatives who participated."}),"\n",(0,s.jsx)(i.li,{children:"Clarity Organiser: Eszter Porter ."}),"\n",(0,s.jsx)(i.li,{children:"Facilitators: Adele Horobin, Erin Dawe-Lane."}),"\n",(0,s.jsxs)(i.li,{children:["This discussion group was supported by the ",(0,s.jsx)(i.a,{href:"https://nottinghambrc.nihr.ac.uk/",children:"National Institute for Health Research Nottingham Biomedical Research Centre"}),".\n",(0,s.jsx)(i.img,{alt:"NIHR logo",src:n(79092).c+"",width:"1169",height:"123"})]}),"\n"]})]})}function d(e={}){const{wrapper:i}={...(0,r.M)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},79092:(e,i,n)=>{n.d(i,{c:()=>s});const 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one",author:"Trevor Cox",author_title:"Clarity Team Member",author_url:"http://trevorcox.me/trevor-cox",author_image_url:"https://avatars.githubusercontent.com/trevorjcox",tags:["CEC1","focus group","noise","sounds"]},o=void 0,l={permalink:"/blog/Sounds",source:"@site/blog/2020-06-18-sounds-for-round-one.mdx",title:"Sounds for round one",description:"We\u2019ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.",date:"2020-06-18T00:00:00.000Z",formattedDate:"June 18, 2020",tags:[{label:"CEC1",permalink:"/blog/tags/cec-1"},{label:"focus group",permalink:"/blog/tags/focus-group"},{label:"noise",permalink:"/blog/tags/noise"},{label:"sounds",permalink:"/blog/tags/sounds"}],readingTime:3.425,hasTruncateMarker:!0,authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"Sounds",title:"Sounds for round one",author:"Trevor Cox",author_title:"Clarity Team Member",author_url:"http://trevorcox.me/trevor-cox",author_image_url:"https://avatars.githubusercontent.com/trevorjcox",tags:["CEC1","focus group","noise","sounds"]},unlisted:!1,prevItem:{title:"Hearing loss simulation",permalink:"/blog/Hearing loss simulation"},nextItem:{title:"The speech-in-noise problem",permalink:"/blog/The speech-in-noise problem"}},a={authorsImageUrls:[void 0]},h=[{value:"Everyday background noises that interfere with understanding of speech",id:"everyday-background-noises-that-interfere-with-understanding-of-speech",level:2},{value:"Family and friends",id:"family-and-friends",level:2},{value:"Outside",id:"outside",level:2},{value:"Characteristics of processed speech to consider",id:"characteristics-of-processed-speech-to-consider",level:2},{value:"Other comments",id:"other-comments",level:2},{value:"Credits",id:"credits",level:2}];function d(e){const i={a:"a",h2:"h2",img:"img",li:"li",p:"p",ul:"ul",...(0,r.a)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.p,{children:"We\u2019ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group."}),"\n",(0,s.jsx)(i.p,{children:"We wanted to know about"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Everyday background noises that make having a conversation difficult."}),"\n",(0,s.jsx)(i.li,{children:"The characteristics of speech after it has been processed by a hearing-aid that hearing aid listeners would value."}),"\n"]}),"\n",(0,s.jsxs)(i.p,{children:["A total of eight patients (four males, four females) attended the meeting, six of whom were recruited from the ",(0,s.jsx)(i.a,{href:"https://nottinghambrc.nihr.ac.uk/",children:"Nottingham Biomedical Research Centre\u2019s"})," patient and public involvement contact list. Two attendees were recruited from a local lip reading class organised by the ",(0,s.jsx)(i.a,{href:"https://www.nottsdeaf.org.uk/",children:"Nottinghamshire Deaf Society"}),". The range of hearing loss within the group is from mild to severe. They all regularly use bilateral hearing aids."]}),"\n",(0,s.jsx)(i.p,{children:"Our focus was on the living room because that is the scenario for round one of the challenges."}),"\n",(0,s.jsx)(i.p,{children:(0,s.jsx)(i.img,{alt:"People Listening",src:n(88730).Z+"",width:"1280",height:"853"})}),"\n",(0,s.jsx)(i.p,{children:"Photo by Gustavo Fring from Pexels"}),"\n","\n",(0,s.jsx)(i.h2,{id:"everyday-background-noises-that-interfere-with-understanding-of-speech",children:"Everyday background noises that interfere with understanding of speech"}),"\n",(0,s.jsx)(i.p,{children:"A long and varied list of sounds cause problems. These lists are in no particular order."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Living room or space"}),"\n",(0,s.jsx)(i.li,{children:"Clocks ticking"}),"\n",(0,s.jsx)(i.li,{children:"Crisp packets rustling"}),"\n",(0,s.jsx)(i.li,{children:"Taps running"}),"\n",(0,s.jsx)(i.li,{children:"Kettles boiling"}),"\n",(0,s.jsx)(i.li,{children:"Dishwasher"}),"\n",(0,s.jsx)(i.li,{children:"Microwave"}),"\n",(0,s.jsx)(i.li,{children:"Washing machine"}),"\n",(0,s.jsx)(i.li,{children:"TV, music, radio"}),"\n",(0,s.jsx)(i.li,{children:"Phone ringing (or receiving texts \u2013 unknown beeps/tones)"}),"\n",(0,s.jsx)(i.li,{children:"Newspapers rustling"}),"\n",(0,s.jsx)(i.li,{children:"Air-conditioning and oven extractor fans"}),"\n",(0,s.jsx)(i.li,{children:"Vacuum cleaner"}),"\n",(0,s.jsx)(i.li,{children:"Doorbell ringing"}),"\n",(0,s.jsx)(i.li,{children:"Dog barking"}),"\n",(0,s.jsx)(i.li,{children:"Rain on window"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"family-and-friends",children:"Family and friends"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Cutlery/crockery banging/clanging"}),"\n",(0,s.jsx)(i.li,{children:"Doors opening/closing (to rooms and cupboards)"}),"\n",(0,s.jsx)(i.li,{children:"Music"}),"\n",(0,s.jsx)(i.li,{children:"People walking around the room"}),"\n",(0,s.jsx)(i.li,{children:"Children playing with toys"}),"\n",(0,s.jsx)(i.li,{children:"Laughing"}),"\n",(0,s.jsx)(i.li,{children:"People talking from another room"}),"\n",(0,s.jsx)(i.li,{children:"Speakers from a different conversation in close proximity (i.e. beside you) when you are trying to converse"}),"\n",(0,s.jsx)(i.li,{children:"Traffic outside"}),"\n",(0,s.jsx)(i.li,{children:"Chewing/chomping"}),"\n",(0,s.jsx)(i.li,{children:"Steam pipes/ coffee machines"}),"\n",(0,s.jsx)(i.li,{children:"Chairs being moved"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"outside",children:"Outside"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Church bells"}),"\n",(0,s.jsx)(i.li,{children:"Market noise"}),"\n",(0,s.jsx)(i.li,{children:"Footsteps on different types of ground, i.e. heels on hard floors but also wellingtons in mud"}),"\n",(0,s.jsx)(i.li,{children:"Clothes rustling (such as waterproof coats or hat on hearing aid)"}),"\n",(0,s.jsx)(i.li,{children:"Wind (even with HA on \u2018wind setting\u2019)"}),"\n",(0,s.jsx)(i.li,{children:"Pigeons/birds"}),"\n",(0,s.jsx)(i.li,{children:"Sirens"}),"\n",(0,s.jsx)(i.li,{children:"Traffic noise (especially at junctions)"}),"\n",(0,s.jsx)(i.li,{children:"Music"}),"\n",(0,s.jsx)(i.li,{children:"Laughter"}),"\n",(0,s.jsx)(i.li,{children:"Phones ringing"}),"\n",(0,s.jsx)(i.li,{children:"Tills"}),"\n",(0,s.jsx)(i.li,{children:"Children playing outside or running around (in shops, on the street and at parks)"}),"\n",(0,s.jsx)(i.li,{children:"Beeping signal at crossings"}),"\n",(0,s.jsx)(i.li,{children:"Garden centres \u2013 high glass ceilings, open plan, trolleys"}),"\n",(0,s.jsx)(i.li,{children:"Road/ tyre and traffic noise when in a car or on the bus"}),"\n",(0,s.jsx)(i.li,{children:"Also mentioned how people you speak to in the car may be in front or behind you"}),"\n",(0,s.jsx)(i.li,{children:"Trains and the tube"}),"\n",(0,s.jsx)(i.li,{children:"Aeroplanes and airports (suitcases rolling)"}),"\n",(0,s.jsx)(i.li,{children:"Tannoys"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"characteristics-of-processed-speech-to-consider",children:"Characteristics of processed speech to consider"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Clarity (clearness) or quality"}),"\n",(0,s.jsx)(i.li,{children:"Rhythm of speech"}),"\n",(0,s.jsx)(i.li,{children:"\u2018Inflection\u2019 (intonation)"}),"\n",(0,s.jsx)(i.li,{children:"Similarity to original speaker"}),"\n",(0,s.jsx)(i.li,{children:"Agreed that in situations where the voice would not be processed clearly, i.e. outside with many noise sources, not sounding like the original - speaker is fine."}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"other-comments",children:"Other comments"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Speed of speech; it was suggested that we have sentences read at different speeds as faster talkers are often harder to understand."}),"\n",(0,s.jsx)(i.li,{children:"Stated that emphasis on key words is useful for following conversation; perhaps key words in the sentence when marked should be given higher value."}),"\n",(0,s.jsx)(i.li,{children:"Lots of comments on room acoustics, i.e., ceiling heights, furnishings, floorings, windows etc., which has a big impact on how difficult it is to have a conversation with background noise."}),"\n",(0,s.jsx)(i.li,{children:"Different accents of talkers can make conversation more difficult; including speakers with different accents in the background."}),"\n",(0,s.jsx)(i.li,{children:"We\u2019re now working out what sounds to use. But are there other sounds we should consider?"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"credits",children:"Credits"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Thank you to the patient and public involvement representatives who participated."}),"\n",(0,s.jsx)(i.li,{children:"Clarity Organiser: Eszter Porter ."}),"\n",(0,s.jsx)(i.li,{children:"Facilitators: Adele Horobin, Erin Dawe-Lane."}),"\n",(0,s.jsxs)(i.li,{children:["This discussion group was supported by the ",(0,s.jsx)(i.a,{href:"https://nottinghambrc.nihr.ac.uk/",children:"National Institute for Health Research Nottingham Biomedical Research Centre"}),".\n",(0,s.jsx)(i.img,{alt:"NIHR logo",src:n(14868).Z+"",width:"1169",height:"123"})]}),"\n"]})]})}function c(e={}){const{wrapper:i}={...(0,r.a)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(d,{...e})}):d(e)}},14868:(e,i,n)=>{n.d(i,{Z:()=>s});const 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The processed signals were played to listeners in listening tests to obtain the measured ",(0,n.jsx)(e.a,{href:"../taking_part/cpc1_faq#speech-intelligibility",children:"speech intelligibility"})," scores."]}),"\n",(0,n.jsx)(e.p,{children:(0,n.jsx)(e.strong,{children:"It is perfectly possible to compete in the prediction challenge without knowing the information provided on this page, it provides context."})}),"\n",(0,n.jsx)(e.p,{children:"You could just work with the processed signals from the hearing aids and the listening test scores. However, some will find this information useful, for example, because it might inform the sourcing or creation of additional data, for example to be used for unsupervised pre-training."}),"\n",(0,n.jsx)(e.h2,{id:"simulating-the-audio-signals-that-were-processed-by-the-hearing-aids",children:"Simulating the audio signals that were processed by the hearing aids"}),"\n",(0,n.jsxs)(e.p,{children:["A listener (or receiver) is in a small room that has low to moderate reverberation. They are listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity sentences. Simultaneously, an interferer sound is playing. This is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). 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Denmark: Aalborg."}),"\n",(0,n.jsx)(e.li,{children:"Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300."}),"\n",(0,n.jsx)(e.li,{children:"Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. 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Denmark: Aalborg."}),"\n",(0,n.jsx)(e.li,{children:"Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300."}),"\n",(0,n.jsx)(e.li,{children:"Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. 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Neural networks are used to estimate time-frequency masks (a set of gains for each time-frequency unit that, when multiplied by the signal, produce less noisy speech; see, e.g., Zhao et al., 2018)."}),"\n",(0,t.jsx)(n.p,{children:"Machine learning systems for noise reduction are trained on artificially mixed speech and noise. Some operate on a single channel, i.e., using spectral cues, and some work with multiple channels using spatial cues. We expect that future hearing aids built on machine learning will perform best if they combine the left and right microphones to work binaurally."}),"\n",(0,t.jsx)(n.p,{children:"Most of these noise reduction systems have been designed and evaluated in an off-line mode where they process pre-recorded signals. This isn\u2019t much use for hearing aids that need to work in real-time with low latency (i.e., short delays). 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",(0,t.jsx)(n.em,{children:"The Journal of the Acoustical Society of America"}),", 125(1), 360-371."]}),"\n",(0,t.jsxs)(n.li,{children:["Zhao, Y., Wang, D., Johnson, E. M., and Healy, E. W. (2018). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. 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1:e.push(g),s.push(u.yytext),r.push(u.yylloc),e.push(x[1]),g=null,h=u.yyleng,l=u.yytext,c=u.yylineno,d=u.yylloc;break;case 2:if(v=this.productions_[x[1]][1],L.$=s[s.length-v],L._$={first_line:r[r.length-(v||1)].first_line,last_line:r[r.length-1].last_line,first_column:r[r.length-(v||1)].first_column,last_column:r[r.length-1].last_column},p&&(L._$.range=[r[r.length-(v||1)].range[0],r[r.length-1].range[1]]),void 0!==(k=this.performAction.apply(L,[l,h,c,f.yy,x[1],s,r].concat(a))))return k;v&&(e=e.slice(0,-1*v*2),s=s.slice(0,-1*v),r=r.slice(0,-1*v)),e.push(this.productions_[x[1]][0]),s.push(L.$),r.push(L._$),b=o[e[e.length-2]][e[e.length-1]],e.push(b);break;case 3:return!0}}return!0}},r={EOF:1,parseError:function(t,n){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,n)},setInput:function(t,n){return this.yy=n||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var n=t.length,e=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-n),this.offset-=n;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),e.length-1&&(this.yylineno-=e.length-1);var s=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:e?(e.length===i.length?this.yylloc.first_column:0)+i[i.length-e.length].length-e[0].length:this.yylloc.first_column-n},this.options.ranges&&(this.yylloc.range=[s[0],s[0]+this.yyleng-n]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),n=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+n+"^"},test_match:function(t,n){var e,i,s;if(this.options.backtrack_lexer&&(s={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(s.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],e=this.performAction.call(this,this.yy,this,n,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),e)return e;if(this._backtrack){for(var r in s)this[r]=s[r];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,n,e,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var s=this._currentRules(),r=0;rn[0].length)){if(n=e,i=r,this.options.backtrack_lexer){if(!1!==(t=this.test_match(e,s[r])))return t;if(this._backtrack){n=!1;continue}return!1}if(!this.options.flex)break}return n?!1!==(t=this.test_match(n,s[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{easy_keword_rules:!0},performAction:function(t,n,e,i){switch(e){case 0:return this.pushState("csv"),4;case 1:return 10;case 2:return 5;case 3:return 12;case 4:return this.pushState("escaped_text"),18;case 5:return 20;case 6:return this.popState("escaped_text"),18;case 7:return 19}},rules:[/^(?:sankey-beta\b)/,/^(?:$)/,/^(?:((\u000D\u000A)|(\u000A)))/,/^(?:(\u002C))/,/^(?:(\u0022))/,/^(?:([\u0020-\u0021\u0023-\u002B\u002D-\u007E])*)/,/^(?:(\u0022)(?!(\u0022)))/,/^(?:(([\u0020-\u0021\u0023-\u002B\u002D-\u007E])|(\u002C)|(\u000D)|(\u000A)|(\u0022)(\u0022))*)/],conditions:{csv:{rules:[1,2,3,4,5,6,7],inclusive:!1},escaped_text:{rules:[6,7],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,5,6,7],inclusive:!0}}};function o(){this.yy={}}return s.lexer=r,o.prototype=s,s.Parser=o,new o}();Y.parser=Y;const F=Y;let U=[],W=[],q={};class G{constructor(t,n,e=0){this.source=t,this.target=n,this.value=e}}class K{constructor(t){this.ID=t}}const V={nodesMap:q,getConfig:()=>(0,i.c)().sankey,getNodes:()=>W,getLinks:()=>U,getGraph:()=>({nodes:W.map((t=>({id:t.ID}))),links:U.map((t=>({source:t.source.ID,target:t.target.ID,value:t.value})))}),addLink:(t,n,e)=>{U.push(new G(t,n,e))},findOrCreateNode:t=>(t=i.e.sanitizeText(t,(0,i.c)()),q[t]||(q[t]=new K(t),W.push(q[t])),q[t]),getAccTitle:i.g,setAccTitle:i.s,getAccDescription:i.a,setAccDescription:i.b,getDiagramTitle:i.r,setDiagramTitle:i.q,clear:()=>{U=[],W=[],q={},(0,i.t)()}},X=class t{static next(n){return new t(n+ ++t.count)}constructor(t){this.id=t,this.href=`#${t}`}toString(){return"url("+this.href+")"}};X.count=0;let Q=X;const B={left:function(t){return t.depth},right:function(t,n){return n-1-t.height},center:function(t){return t.targetLinks.length?t.depth:t.sourceLinks.length?r(t.sourceLinks,o)-1:0},justify:l},R={draw:function(t,n,e,r){const{securityLevel:o,sankey:l}=(0,i.c)(),c=i.I.sankey;let h;"sandbox"===o&&(h=(0,s.Ys)("#i"+n));const a="sandbox"===o?(0,s.Ys)(h.nodes()[0].contentDocument.body):(0,s.Ys)("body"),u="sandbox"===o?a.select(`[id="${n}"]`):(0,s.Ys)(`[id="${n}"]`),f=(null==l?void 0:l.width)??c.width,y=(null==l?void 0:l.height)??c.width,d=(null==l?void 0:l.useMaxWidth)??c.useMaxWidth,p=(null==l?void 0:l.nodeAlignment)??c.nodeAlignment,g=(null==l?void 0:l.prefix)??c.prefix,_=(null==l?void 0:l.suffix)??c.suffix,x=(null==l?void 0:l.showValues)??c.showValues,k=r.db.getGraph(),v=B[p];m().nodeId((t=>t.id)).nodeWidth(10).nodePadding(10+(x?15:0)).nodeAlign(v).extent([[0,0],[f,y]])(k);const b=(0,s.PKp)(s.K2I);u.append("g").attr("class","nodes").selectAll(".node").data(k.nodes).join("g").attr("class","node").attr("id",(t=>(t.uid=Q.next("node-")).id)).attr("transform",(function(t){return"translate("+t.x0+","+t.y0+")"})).attr("x",(t=>t.x0)).attr("y",(t=>t.y0)).append("rect").attr("height",(t=>t.y1-t.y0)).attr("width",(t=>t.x1-t.x0)).attr("fill",(t=>b(t.id)));u.append("g").attr("class","node-labels").attr("font-family","sans-serif").attr("font-size",14).selectAll("text").data(k.nodes).join("text").attr("x",(t=>t.x0(t.y1+t.y0)/2)).attr("dy",(x?"0":"0.35")+"em").attr("text-anchor",(t=>t.x0x?`${t}\n${g}${Math.round(100*n)/100}${_}`:t));const w=u.append("g").attr("class","links").attr("fill","none").attr("stroke-opacity",.5).selectAll(".link").data(k.links).join("g").attr("class","link").style("mix-blend-mode","multiply"),E=(null==l?void 0:l.linkColor)||"gradient";if("gradient"===E){const t=w.append("linearGradient").attr("id",(t=>(t.uid=Q.next("linearGradient-")).id)).attr("gradientUnits","userSpaceOnUse").attr("x1",(t=>t.source.x1)).attr("x2",(t=>t.target.x0));t.append("stop").attr("offset","0%").attr("stop-color",(t=>b(t.source.id))),t.append("stop").attr("offset","100%").attr("stop-color",(t=>b(t.target.id)))}let L;switch(E){case"gradient":L=t=>t.uid;break;case"source":L=t=>b(t.source.id);break;case"target":L=t=>b(t.target.id);break;default:L=E}w.append("path").attr("d",z()).attr("stroke",L).attr("stroke-width",(t=>Math.max(1,t.width))),(0,i.o)(void 0,u,0,d)}},Z=F.parse.bind(F);F.parse=t=>Z((t=>t.replaceAll(/^[^\S\n\r]+|[^\S\n\r]+$/g,"").replaceAll(/([\n\r])+/g,"\n").trim())(t));const H={parser:F,db:V,renderer:R}}}]); \ No newline at end of file diff --git a/assets/js/861.b5c5a346.js b/assets/js/564.3cba0b35.js similarity index 94% rename from assets/js/861.b5c5a346.js rename to assets/js/564.3cba0b35.js index 5d793d884..adfad7550 100644 --- a/assets/js/861.b5c5a346.js +++ b/assets/js/564.3cba0b35.js @@ -1,19 +1,19 @@ "use strict"; -exports.id = 861; -exports.ids = [861]; +exports.id = 564; +exports.ids = [564]; exports.modules = { -/***/ 70861: +/***/ 30564: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(22424); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(57776); @@ -671,7 +671,7 @@ var parser = function() { }(); parser.parser = parser; const parser$1 = parser; -const defaultThemeVariables = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.D)(); +const defaultThemeVariables = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.D)(); class QuadrantBuilder { constructor() { this.config = this.getDefaultConfig(); @@ -698,24 +698,24 @@ class QuadrantBuilder { showXAxis: true, showYAxis: true, showTitle: true, - chartHeight: ((_a = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _a.chartWidth) || 500, - chartWidth: ((_b = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _b.chartHeight) || 500, - titlePadding: ((_c = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _c.titlePadding) || 10, - titleFontSize: ((_d = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _d.titleFontSize) || 20, - quadrantPadding: ((_e = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _e.quadrantPadding) || 5, - xAxisLabelPadding: ((_f = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _f.xAxisLabelPadding) || 5, - yAxisLabelPadding: ((_g = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _g.yAxisLabelPadding) || 5, - xAxisLabelFontSize: ((_h = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _h.xAxisLabelFontSize) || 16, - yAxisLabelFontSize: ((_i = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _i.yAxisLabelFontSize) || 16, - quadrantLabelFontSize: ((_j = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _j.quadrantLabelFontSize) || 16, - quadrantTextTopPadding: ((_k = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _k.quadrantTextTopPadding) || 5, - pointTextPadding: ((_l = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _l.pointTextPadding) || 5, - pointLabelFontSize: ((_m = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _m.pointLabelFontSize) || 12, - pointRadius: ((_n = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _n.pointRadius) || 5, - xAxisPosition: ((_o = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _o.xAxisPosition) || "top", - yAxisPosition: ((_p = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _p.yAxisPosition) || "left", - quadrantInternalBorderStrokeWidth: ((_q = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _q.quadrantInternalBorderStrokeWidth) || 1, - quadrantExternalBorderStrokeWidth: ((_r = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _r.quadrantExternalBorderStrokeWidth) || 2 + chartHeight: ((_a = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _a.chartWidth) || 500, + chartWidth: ((_b = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _b.chartHeight) || 500, + titlePadding: ((_c = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _c.titlePadding) || 10, + titleFontSize: ((_d = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _d.titleFontSize) || 20, + quadrantPadding: ((_e = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _e.quadrantPadding) || 5, + xAxisLabelPadding: ((_f = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _f.xAxisLabelPadding) || 5, + yAxisLabelPadding: ((_g = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _g.yAxisLabelPadding) || 5, + xAxisLabelFontSize: ((_h = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _h.xAxisLabelFontSize) || 16, + yAxisLabelFontSize: ((_i = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _i.yAxisLabelFontSize) || 16, + quadrantLabelFontSize: ((_j = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _j.quadrantLabelFontSize) || 16, + quadrantTextTopPadding: ((_k = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _k.quadrantTextTopPadding) || 5, + pointTextPadding: ((_l = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _l.pointTextPadding) || 5, + pointLabelFontSize: ((_m = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _m.pointLabelFontSize) || 12, + pointRadius: ((_n = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _n.pointRadius) || 5, + xAxisPosition: ((_o = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _o.xAxisPosition) || "top", + yAxisPosition: ((_p = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _p.yAxisPosition) || "left", + quadrantInternalBorderStrokeWidth: ((_q = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _q.quadrantInternalBorderStrokeWidth) || 1, + quadrantExternalBorderStrokeWidth: ((_r = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.A.quadrantChart) == null ? void 0 : _r.quadrantExternalBorderStrokeWidth) || 2 }; } getDefaultThemeConfig() { @@ -741,7 +741,7 @@ class QuadrantBuilder { this.config = this.getDefaultConfig(); this.themeConfig = this.getDefaultThemeConfig(); this.data = this.getDefaultData(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("clear called"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("clear called"); } setData(data) { this.data = { ...this.data, ...data }; @@ -750,11 +750,11 @@ class QuadrantBuilder { this.data.points = [...points, ...this.data.points]; } setConfig(config2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("setConfig called with: ", config2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("setConfig called with: ", config2); this.config = { ...this.config, ...config2 }; } setThemeConfig(themeConfig) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("setThemeConfig called with: ", themeConfig); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("setThemeConfig called with: ", themeConfig); this.themeConfig = { ...this.themeConfig, ...themeConfig }; } calculateSpace(xAxisPosition, showXAxis, showYAxis, showTitle) { @@ -944,8 +944,8 @@ class QuadrantBuilder { getQuadrantPoints(spaceData) { const { quadrantSpace } = spaceData; const { quadrantHeight, quadrantLeft, quadrantTop, quadrantWidth } = quadrantSpace; - const xAxis = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleLinear */ .BYU)().domain([0, 1]).range([quadrantLeft, quadrantWidth + quadrantLeft]); - const yAxis = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleLinear */ .BYU)().domain([0, 1]).range([quadrantHeight + quadrantTop, quadrantTop]); + const xAxis = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleLinear */ .M89)().domain([0, 1]).range([quadrantLeft, quadrantWidth + quadrantLeft]); + const yAxis = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .scaleLinear */ .M89)().domain([0, 1]).range([quadrantHeight + quadrantTop, quadrantTop]); const points = this.data.points.map((point) => { const props = { x: xAxis(point.x), @@ -1066,9 +1066,9 @@ class QuadrantBuilder { }; } } -const config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)(); +const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); function textSanitizer(text) { - return (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.d)(text.trim(), config); + return (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.d)(text.trim(), config); } const quadrantBuilder = new QuadrantBuilder(); function setQuadrant1Text(textObj) { @@ -1105,7 +1105,7 @@ function setHeight(height) { quadrantBuilder.setConfig({ chartHeight: height }); } function getQuadrantData() { - const config2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + const config2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const { themeVariables, quadrantChart: quadrantChartConfig } = config2; if (quadrantChartConfig) { quadrantBuilder.setConfig(quadrantChartConfig); @@ -1127,12 +1127,12 @@ function getQuadrantData() { quadrantInternalBorderStrokeFill: themeVariables.quadrantInternalBorderStrokeFill, quadrantTitleFill: themeVariables.quadrantTitleFill }); - quadrantBuilder.setData({ titleText: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.r)() }); + quadrantBuilder.setData({ titleText: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.r)() }); return quadrantBuilder.build(); } const clear = function() { quadrantBuilder.clear(); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.t)(); }; const db = { setWidth, @@ -1148,12 +1148,12 @@ const db = { addPoint, getQuadrantData, clear, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.g, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.r, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.b + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.g, + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.r, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.b }; const draw = (txt, id, _version, diagObj) => { var _a, _b, _c; @@ -1166,19 +1166,19 @@ const draw = (txt, id, _version, diagObj) => { function getTransformation(data) { return `translate(${data.x}, ${data.y}) rotate(${data.rotation || 0})`; } - const conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Rendering quadrant chart\n" + txt); + const conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Rendering quadrant chart\n" + txt); const securityLevel = conf.securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); const svg = root.select(`[id="${id}"]`); const group = svg.append("g").attr("class", "main"); const width = ((_a = conf.quadrantChart) == null ? void 0 : _a.chartWidth) || 500; const height = ((_b = conf.quadrantChart) == null ? void 0 : _b.chartHeight) || 500; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.i)(svg, height, width, ((_c = conf.quadrantChart) == null ? void 0 : _c.useMaxWidth) || true); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.i)(svg, height, width, ((_c = conf.quadrantChart) == null ? void 0 : _c.useMaxWidth) || true); svg.attr("viewBox", "0 0 " + width + " " + height); diagObj.db.setHeight(height); diagObj.db.setWidth(width); diff --git a/assets/js/861.42f43f14.js b/assets/js/564.fe1310bf.js similarity index 85% rename from assets/js/861.42f43f14.js rename to assets/js/564.fe1310bf.js index fef229639..c8751a1f6 100644 --- a/assets/js/861.42f43f14.js +++ b/assets/js/564.fe1310bf.js @@ -1 +1 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[861],{70861:(t,i,e)=>{e.d(i,{diagram:()=>d});var a=e(24743),n=e(64218),r=(e(27484),e(17967),e(27856),function(){var t=function(t,i,e,a){for(e=e||{},a=t.length;a--;e[t[a]]=i);return 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")+", got '"+(this.terminals_[y]||y)+"'":"Parse error on line "+(o+1)+": Unexpected "+(1==y?"end of input":"'"+(this.terminals_[y]||y)+"'"),this.parseError(F,{text:d.match,token:this.terminals_[y]||y,line:d.yylineno,loc:g,expected:b})}if(q[0]instanceof Array&&q.length>1)throw new Error("Parse Error: multiple actions possible at state: "+p+", token: "+y);switch(q[0]){case 1:e.push(y),n.push(d.yytext),r.push(d.yylloc),e.push(q[1]),y=null,h=d.yyleng,l=d.yytext,o=d.yylineno,g=d.yylloc;break;case 2:if(m=this.productions_[q[1]][1],k.$=n[n.length-m],k._$={first_line:r[r.length-(m||1)].first_line,last_line:r[r.length-1].last_line,first_column:r[r.length-(m||1)].first_column,last_column:r[r.length-1].last_column},f&&(k._$.range=[r[r.length-(m||1)].range[0],r[r.length-1].range[1]]),void 0!==(T=this.performAction.apply(k,[l,h,o,u.yy,q[1],n,r].concat(c))))return T;m&&(e=e.slice(0,-1*m*2),n=n.slice(0,-1*m),r=r.slice(0,-1*m)),e.push(this.productions_[q[1]][0]),n.push(k.$),r.push(k._$),_=s[e[e.length-2]][e[e.length-1]],e.push(_);break;case 3:return!0}}return!0}},N={EOF:1,parseError:function(t,i){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,i)},setInput:function(t,i){return this.yy=i||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var i=t.length,e=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-i),this.offset-=i;var a=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),e.length-1&&(this.yylineno-=e.length-1);var n=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:e?(e.length===a.length?this.yylloc.first_column:0)+a[a.length-e.length].length-e[0].length:this.yylloc.first_column-i},this.options.ranges&&(this.yylloc.range=[n[0],n[0]+this.yyleng-i]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),i=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+i+"^"},test_match:function(t,i){var e,a,n;if(this.options.backtrack_lexer&&(n={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(n.yylloc.range=this.yylloc.range.slice(0))),(a=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=a.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:a?a[a.length-1].length-a[a.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],e=this.performAction.call(this,this.yy,this,i,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),e)return e;if(this._backtrack){for(var r in n)this[r]=n[r];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,i,e,a;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var n=this._currentRules(),r=0;ri[0].length)){if(i=e,a=r,this.options.backtrack_lexer){if(!1!==(t=this.test_match(e,n[r])))return t;if(this._backtrack){i=!1;continue}return!1}if(!this.options.flex)break}return i?!1!==(t=this.test_match(i,n[a]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,i,e,a){switch(e){case 0:case 1:case 3:break;case 2:return 32;case 4:return this.begin("title"),13;case 5:return this.popState(),"title_value";case 6:return this.begin("acc_title"),15;case 7:return this.popState(),"acc_title_value";case 8:return this.begin("acc_descr"),17;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:case 22:case 24:case 28:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:return 25;case 14:return 27;case 15:return 26;case 16:return 28;case 17:return 29;case 18:return 30;case 19:return 31;case 20:this.begin("md_string");break;case 21:return"MD_STR";case 23:this.begin("string");break;case 25:return"STR";case 26:return this.begin("point_start"),22;case 27:return this.begin("point_x"),23;case 29:this.popState(),this.begin("point_y");break;case 30:return this.popState(),24;case 31:return 6;case 32:return 43;case 33:return"COLON";case 34:return 45;case 35:return 44;case 36:case 37:return 46;case 38:return 47;case 39:return 49;case 40:return 50;case 41:return 48;case 42:return 41;case 43:return 51;case 44:return 42;case 45:return 5;case 46:return 33;case 47:return 40;case 48:return 34}},rules:[/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?: *x-axis *)/i,/^(?: *y-axis *)/i,/^(?: *--+> *)/i,/^(?: *quadrant-1 *)/i,/^(?: *quadrant-2 *)/i,/^(?: *quadrant-3 *)/i,/^(?: *quadrant-4 *)/i,/^(?:["][`])/i,/^(?:[^`"]+)/i,/^(?:[`]["])/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\s*:\s*\[\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?:\s*\] *)/i,/^(?:\s*,\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?: *quadrantChart *)/i,/^(?:[A-Za-z]+)/i,/^(?::)/i,/^(?:\+)/i,/^(?:,)/i,/^(?:=)/i,/^(?:=)/i,/^(?:\*)/i,/^(?:#)/i,/^(?:[\_])/i,/^(?:\.)/i,/^(?:&)/i,/^(?:-)/i,/^(?:[0-9]+)/i,/^(?:\s)/i,/^(?:;)/i,/^(?:[!"#$%&'*+,-.`?\\_/])/i,/^(?:$)/i],conditions:{point_y:{rules:[30],inclusive:!1},point_x:{rules:[29],inclusive:!1},point_start:{rules:[27,28],inclusive:!1},acc_descr_multiline:{rules:[11,12],inclusive:!1},acc_descr:{rules:[9],inclusive:!1},acc_title:{rules:[7],inclusive:!1},title:{rules:[5],inclusive:!1},md_string:{rules:[21,22],inclusive:!1},string:{rules:[24,25],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,6,8,10,13,14,15,16,17,18,19,20,23,26,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],inclusive:!0}}};function U(){this.yy={}}return W.lexer=N,U.prototype=W,W.Parser=U,new U}());r.parser=r;const s=r,l=(0,a.D)();const o=(0,a.c)();function h(t){return(0,a.d)(t.trim(),o)}const c=new class{constructor(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:[]}}getDefaultConfig(){var t,i,e,n,r,s,l,o,h,c,d,u,x,g,f,y,p,q;return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:(null==(t=a.A.quadrantChart)?void 0:t.chartWidth)||500,chartWidth:(null==(i=a.A.quadrantChart)?void 0:i.chartHeight)||500,titlePadding:(null==(e=a.A.quadrantChart)?void 0:e.titlePadding)||10,titleFontSize:(null==(n=a.A.quadrantChart)?void 0:n.titleFontSize)||20,quadrantPadding:(null==(r=a.A.quadrantChart)?void 0:r.quadrantPadding)||5,xAxisLabelPadding:(null==(s=a.A.quadrantChart)?void 0:s.xAxisLabelPadding)||5,yAxisLabelPadding:(null==(l=a.A.quadrantChart)?void 0:l.yAxisLabelPadding)||5,xAxisLabelFontSize:(null==(o=a.A.quadrantChart)?void 0:o.xAxisLabelFontSize)||16,yAxisLabelFontSize:(null==(h=a.A.quadrantChart)?void 0:h.yAxisLabelFontSize)||16,quadrantLabelFontSize:(null==(c=a.A.quadrantChart)?void 0:c.quadrantLabelFontSize)||16,quadrantTextTopPadding:(null==(d=a.A.quadrantChart)?void 0:d.quadrantTextTopPadding)||5,pointTextPadding:(null==(u=a.A.quadrantChart)?void 0:u.pointTextPadding)||5,pointLabelFontSize:(null==(x=a.A.quadrantChart)?void 0:x.pointLabelFontSize)||12,pointRadius:(null==(g=a.A.quadrantChart)?void 0:g.pointRadius)||5,xAxisPosition:(null==(f=a.A.quadrantChart)?void 0:f.xAxisPosition)||"top",yAxisPosition:(null==(y=a.A.quadrantChart)?void 0:y.yAxisPosition)||"left",quadrantInternalBorderStrokeWidth:(null==(p=a.A.quadrantChart)?void 0:p.quadrantInternalBorderStrokeWidth)||1,quadrantExternalBorderStrokeWidth:(null==(q=a.A.quadrantChart)?void 0:q.quadrantExternalBorderStrokeWidth)||2}}getDefaultThemeConfig(){return{quadrant1Fill:l.quadrant1Fill,quadrant2Fill:l.quadrant2Fill,quadrant3Fill:l.quadrant3Fill,quadrant4Fill:l.quadrant4Fill,quadrant1TextFill:l.quadrant1TextFill,quadrant2TextFill:l.quadrant2TextFill,quadrant3TextFill:l.quadrant3TextFill,quadrant4TextFill:l.quadrant4TextFill,quadrantPointFill:l.quadrantPointFill,quadrantPointTextFill:l.quadrantPointTextFill,quadrantXAxisTextFill:l.quadrantXAxisTextFill,quadrantYAxisTextFill:l.quadrantYAxisTextFill,quadrantTitleFill:l.quadrantTitleFill,quadrantInternalBorderStrokeFill:l.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:l.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),a.l.info("clear called")}setData(t){this.data={...this.data,...t}}addPoints(t){this.data.points=[...t,...this.data.points]}setConfig(t){a.l.trace("setConfig called with: ",t),this.config={...this.config,...t}}setThemeConfig(t){a.l.trace("setThemeConfig called with: ",t),this.themeConfig={...this.themeConfig,...t}}calculateSpace(t,i,e,a){const n=2*this.config.xAxisLabelPadding+this.config.xAxisLabelFontSize,r={top:"top"===t&&i?n:0,bottom:"bottom"===t&&i?n:0},s=2*this.config.yAxisLabelPadding+this.config.yAxisLabelFontSize,l={left:"left"===this.config.yAxisPosition&&e?s:0,right:"right"===this.config.yAxisPosition&&e?s:0},o=this.config.titleFontSize+2*this.config.titlePadding,h={top:a?o:0},c=this.config.quadrantPadding+l.left,d=this.config.quadrantPadding+r.top+h.top,u=this.config.chartWidth-2*this.config.quadrantPadding-l.left-l.right,x=this.config.chartHeight-2*this.config.quadrantPadding-r.top-r.bottom-h.top;return{xAxisSpace:r,yAxisSpace:l,titleSpace:h,quadrantSpace:{quadrantLeft:c,quadrantTop:d,quadrantWidth:u,quadrantHalfWidth:u/2,quadrantHeight:x,quadrantHalfHeight:x/2}}}getAxisLabels(t,i,e,a){const{quadrantSpace:n,titleSpace:r}=a,{quadrantHalfHeight:s,quadrantHeight:l,quadrantLeft:o,quadrantHalfWidth:h,quadrantTop:c,quadrantWidth:d}=n,u=Boolean(this.data.xAxisRightText),x=Boolean(this.data.yAxisTopText),g=[];return this.data.xAxisLeftText&&i&&g.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:o+(u?h/2:0),y:"top"===t?this.config.xAxisLabelPadding+r.top:this.config.xAxisLabelPadding+c+l+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:u?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&i&&g.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:o+h+(u?h/2:0),y:"top"===t?this.config.xAxisLabelPadding+r.top:this.config.xAxisLabelPadding+c+l+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:u?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&e&&g.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+o+d+this.config.quadrantPadding,y:c+l-(x?s/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:x?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&e&&g.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+o+d+this.config.quadrantPadding,y:c+s-(x?s/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:x?"center":"left",horizontalPos:"top",rotation:-90}),g}getQuadrants(t){const{quadrantSpace:i}=t,{quadrantHalfHeight:e,quadrantLeft:a,quadrantHalfWidth:n,quadrantTop:r}=i,s=[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a+n,y:r,width:n,height:e,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a,y:r,width:n,height:e,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a,y:r+e,width:n,height:e,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a+n,y:r+e,width:n,height:e,fill:this.themeConfig.quadrant4Fill}];for(const l of s)l.text.x=l.x+l.width/2,0===this.data.points.length?(l.text.y=l.y+l.height/2,l.text.horizontalPos="middle"):(l.text.y=l.y+this.config.quadrantTextTopPadding,l.text.horizontalPos="top");return s}getQuadrantPoints(t){const{quadrantSpace:i}=t,{quadrantHeight:e,quadrantLeft:a,quadrantTop:r,quadrantWidth:s}=i,l=(0,n.BYU)().domain([0,1]).range([a,s+a]),o=(0,n.BYU)().domain([0,1]).range([e+r,r]);return this.data.points.map((t=>({x:l(t.x),y:o(t.y),fill:this.themeConfig.quadrantPointFill,radius:this.config.pointRadius,text:{text:t.text,fill:this.themeConfig.quadrantPointTextFill,x:l(t.x),y:o(t.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0}})))}getBorders(t){const i=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:e}=t,{quadrantHalfHeight:a,quadrantHeight:n,quadrantLeft:r,quadrantHalfWidth:s,quadrantTop:l,quadrantWidth:o}=e;return[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:r-i,y1:l,x2:r+o+i,y2:l},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:r+o,y1:l+i,x2:r+o,y2:l+n-i},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:r-i,y1:l+n,x2:r+o+i,y2:l+n},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:r,y1:l+i,x2:r,y2:l+n-i},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:r+s,y1:l+i,x2:r+s,y2:l+n-i},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:r+i,y1:l+a,x2:r+o-i,y2:l+a}]}getTitle(t){if(t)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const t=this.config.showXAxis&&!(!this.data.xAxisLeftText&&!this.data.xAxisRightText),i=this.config.showYAxis&&!(!this.data.yAxisTopText&&!this.data.yAxisBottomText),e=this.config.showTitle&&!!this.data.titleText,a=this.data.points.length>0?"bottom":this.config.xAxisPosition,n=this.calculateSpace(a,t,i,e);return{points:this.getQuadrantPoints(n),quadrants:this.getQuadrants(n),axisLabels:this.getAxisLabels(a,t,i,n),borderLines:this.getBorders(n),title:this.getTitle(e)}}};const d={parser:s,db:{setWidth:function(t){c.setConfig({chartWidth:t})},setHeight:function(t){c.setConfig({chartHeight:t})},setQuadrant1Text:function(t){c.setData({quadrant1Text:h(t.text)})},setQuadrant2Text:function(t){c.setData({quadrant2Text:h(t.text)})},setQuadrant3Text:function(t){c.setData({quadrant3Text:h(t.text)})},setQuadrant4Text:function(t){c.setData({quadrant4Text:h(t.text)})},setXAxisLeftText:function(t){c.setData({xAxisLeftText:h(t.text)})},setXAxisRightText:function(t){c.setData({xAxisRightText:h(t.text)})},setYAxisTopText:function(t){c.setData({yAxisTopText:h(t.text)})},setYAxisBottomText:function(t){c.setData({yAxisBottomText:h(t.text)})},addPoint:function(t,i,e){c.addPoints([{x:i,y:e,text:h(t.text)}])},getQuadrantData:function(){const t=(0,a.c)(),{themeVariables:i,quadrantChart:e}=t;return 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c(t){return"left"===t?"start":"middle"}function d(t){return`translate(${t.x}, ${t.y}) rotate(${t.rotation||0})`}const u=(0,a.c)();a.l.debug("Rendering quadrant chart\n"+t);const x=u.securityLevel;let g;"sandbox"===x&&(g=(0,n.Ys)("#i"+i));const f=("sandbox"===x?(0,n.Ys)(g.nodes()[0].contentDocument.body):(0,n.Ys)("body")).select(`[id="${i}"]`),y=f.append("g").attr("class","main"),p=(null==(s=u.quadrantChart)?void 0:s.chartWidth)||500,q=(null==(l=u.quadrantChart)?void 0:l.chartHeight)||500;(0,a.i)(f,q,p,(null==(o=u.quadrantChart)?void 0:o.useMaxWidth)||!0),f.attr("viewBox","0 0 "+p+" "+q),r.db.setHeight(q),r.db.setWidth(p);const 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34}},rules:[/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?: *x-axis *)/i,/^(?: *y-axis *)/i,/^(?: *--+> *)/i,/^(?: *quadrant-1 *)/i,/^(?: *quadrant-2 *)/i,/^(?: *quadrant-3 *)/i,/^(?: *quadrant-4 *)/i,/^(?:["][`])/i,/^(?:[^`"]+)/i,/^(?:[`]["])/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\s*:\s*\[\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?:\s*\] *)/i,/^(?:\s*,\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?: *quadrantChart *)/i,/^(?:[A-Za-z]+)/i,/^(?::)/i,/^(?:\+)/i,/^(?:,)/i,/^(?:=)/i,/^(?:=)/i,/^(?:\*)/i,/^(?:#)/i,/^(?:[\_])/i,/^(?:\.)/i,/^(?:&)/i,/^(?:-)/i,/^(?:[0-9]+)/i,/^(?:\s)/i,/^(?:;)/i,/^(?:[!"#$%&'*+,-.`?\\_/])/i,/^(?:$)/i],conditions:{point_y:{rules:[30],inclusive:!1},point_x:{rules:[29],inclusive:!1},point_start:{rules:[27,28],inclusive:!1},acc_descr_multiline:{rules:[11,12],inclusive:!1},acc_descr:{rules:[9],inclusive:!1},acc_title:{rules:[7],inclusive:!1},title:{rules:[5],inclusive:!1},md_string:{rules:[21,22],inclusive:!1},string:{rules:[24,25],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,6,8,10,13,14,15,16,17,18,19,20,23,26,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],inclusive:!0}}};function U(){this.yy={}}return W.lexer=N,U.prototype=W,W.Parser=U,new U}());r.parser=r;const s=r,l=(0,a.D)();const o=(0,a.c)();function h(t){return(0,a.d)(t.trim(),o)}const c=new class{constructor(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:[]}}getDefaultConfig(){var t,i,e,n,r,s,l,o,h,c,d,u,x,g,f,y,p,q;return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:(null==(t=a.A.quadrantChart)?void 0:t.chartWidth)||500,chartWidth:(null==(i=a.A.quadrantChart)?void 0:i.chartHeight)||500,titlePadding:(null==(e=a.A.quadrantChart)?void 0:e.titlePadding)||10,titleFontSize:(null==(n=a.A.quadrantChart)?void 0:n.titleFontSize)||20,quadrantPadding:(null==(r=a.A.quadrantChart)?void 0:r.quadrantPadding)||5,xAxisLabelPadding:(null==(s=a.A.quadrantChart)?void 0:s.xAxisLabelPadding)||5,yAxisLabelPadding:(null==(l=a.A.quadrantChart)?void 0:l.yAxisLabelPadding)||5,xAxisLabelFontSize:(null==(o=a.A.quadrantChart)?void 0:o.xAxisLabelFontSize)||16,yAxisLabelFontSize:(null==(h=a.A.quadrantChart)?void 0:h.yAxisLabelFontSize)||16,quadrantLabelFontSize:(null==(c=a.A.quadrantChart)?void 0:c.quadrantLabelFontSize)||16,quadrantTextTopPadding:(null==(d=a.A.quadrantChart)?void 0:d.quadrantTextTopPadding)||5,pointTextPadding:(null==(u=a.A.quadrantChart)?void 0:u.pointTextPadding)||5,pointLabelFontSize:(null==(x=a.A.quadrantChart)?void 0:x.pointLabelFontSize)||12,pointRadius:(null==(g=a.A.quadrantChart)?void 0:g.pointRadius)||5,xAxisPosition:(null==(f=a.A.quadrantChart)?void 0:f.xAxisPosition)||"top",yAxisPosition:(null==(y=a.A.quadrantChart)?void 0:y.yAxisPosition)||"left",quadrantInternalBorderStrokeWidth:(null==(p=a.A.quadrantChart)?void 0:p.quadrantInternalBorderStrokeWidth)||1,quadrantExternalBorderStrokeWidth:(null==(q=a.A.quadrantChart)?void 0:q.quadrantExternalBorderStrokeWidth)||2}}getDefaultThemeConfig(){return{quadrant1Fill:l.quadrant1Fill,quadrant2Fill:l.quadrant2Fill,quadrant3Fill:l.quadrant3Fill,quadrant4Fill:l.quadrant4Fill,quadrant1TextFill:l.quadrant1TextFill,quadrant2TextFill:l.quadrant2TextFill,quadrant3TextFill:l.quadrant3TextFill,quadrant4TextFill:l.quadrant4TextFill,quadrantPointFill:l.quadrantPointFill,quadrantPointTextFill:l.quadrantPointTextFill,quadrantXAxisTextFill:l.quadrantXAxisTextFill,quadrantYAxisTextFill:l.quadrantYAxisTextFill,quadrantTitleFill:l.quadrantTitleFill,quadrantInternalBorderStrokeFill:l.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:l.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),a.l.info("clear called")}setData(t){this.data={...this.data,...t}}addPoints(t){this.data.points=[...t,...this.data.points]}setConfig(t){a.l.trace("setConfig called with: ",t),this.config={...this.config,...t}}setThemeConfig(t){a.l.trace("setThemeConfig called with: ",t),this.themeConfig={...this.themeConfig,...t}}calculateSpace(t,i,e,a){const n=2*this.config.xAxisLabelPadding+this.config.xAxisLabelFontSize,r={top:"top"===t&&i?n:0,bottom:"bottom"===t&&i?n:0},s=2*this.config.yAxisLabelPadding+this.config.yAxisLabelFontSize,l={left:"left"===this.config.yAxisPosition&&e?s:0,right:"right"===this.config.yAxisPosition&&e?s:0},o=this.config.titleFontSize+2*this.config.titlePadding,h={top:a?o:0},c=this.config.quadrantPadding+l.left,d=this.config.quadrantPadding+r.top+h.top,u=this.config.chartWidth-2*this.config.quadrantPadding-l.left-l.right,x=this.config.chartHeight-2*this.config.quadrantPadding-r.top-r.bottom-h.top;return{xAxisSpace:r,yAxisSpace:l,titleSpace:h,quadrantSpace:{quadrantLeft:c,quadrantTop:d,quadrantWidth:u,quadrantHalfWidth:u/2,quadrantHeight:x,quadrantHalfHeight:x/2}}}getAxisLabels(t,i,e,a){const{quadrantSpace:n,titleSpace:r}=a,{quadrantHalfHeight:s,quadrantHeight:l,quadrantLeft:o,quadrantHalfWidth:h,quadrantTop:c,quadrantWidth:d}=n,u=Boolean(this.data.xAxisRightText),x=Boolean(this.data.yAxisTopText),g=[];return this.data.xAxisLeftText&&i&&g.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:o+(u?h/2:0),y:"top"===t?this.config.xAxisLabelPadding+r.top:this.config.xAxisLabelPadding+c+l+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:u?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&i&&g.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:o+h+(u?h/2:0),y:"top"===t?this.config.xAxisLabelPadding+r.top:this.config.xAxisLabelPadding+c+l+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:u?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&e&&g.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+o+d+this.config.quadrantPadding,y:c+l-(x?s/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:x?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&e&&g.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+o+d+this.config.quadrantPadding,y:c+s-(x?s/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:x?"center":"left",horizontalPos:"top",rotation:-90}),g}getQuadrants(t){const{quadrantSpace:i}=t,{quadrantHalfHeight:e,quadrantLeft:a,quadrantHalfWidth:n,quadrantTop:r}=i,s=[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a+n,y:r,width:n,height:e,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a,y:r,width:n,height:e,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a,y:r+e,width:n,height:e,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:a+n,y:r+e,width:n,height:e,fill:this.themeConfig.quadrant4Fill}];for(const l of s)l.text.x=l.x+l.width/2,0===this.data.points.length?(l.text.y=l.y+l.height/2,l.text.horizontalPos="middle"):(l.text.y=l.y+this.config.quadrantTextTopPadding,l.text.horizontalPos="top");return s}getQuadrantPoints(t){const{quadrantSpace:i}=t,{quadrantHeight:e,quadrantLeft:a,quadrantTop:r,quadrantWidth:s}=i,l=(0,n.M89)().domain([0,1]).range([a,s+a]),o=(0,n.M89)().domain([0,1]).range([e+r,r]);return this.data.points.map((t=>({x:l(t.x),y:o(t.y),fill:this.themeConfig.quadrantPointFill,radius:this.config.pointRadius,text:{text:t.text,fill:this.themeConfig.quadrantPointTextFill,x:l(t.x),y:o(t.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0}})))}getBorders(t){const i=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:e}=t,{quadrantHalfHeight:a,quadrantHeight:n,quadrantLeft:r,quadrantHalfWidth:s,quadrantTop:l,quadrantWidth:o}=e;return[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:r-i,y1:l,x2:r+o+i,y2:l},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:r+o,y1:l+i,x2:r+o,y2:l+n-i},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:r-i,y1:l+n,x2:r+o+i,y2:l+n},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:r,y1:l+i,x2:r,y2:l+n-i},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:r+s,y1:l+i,x2:r+s,y2:l+n-i},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:r+i,y1:l+a,x2:r+o-i,y2:l+a}]}getTitle(t){if(t)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const t=this.config.showXAxis&&!(!this.data.xAxisLeftText&&!this.data.xAxisRightText),i=this.config.showYAxis&&!(!this.data.yAxisTopText&&!this.data.yAxisBottomText),e=this.config.showTitle&&!!this.data.titleText,a=this.data.points.length>0?"bottom":this.config.xAxisPosition,n=this.calculateSpace(a,t,i,e);return{points:this.getQuadrantPoints(n),quadrants:this.getQuadrants(n),axisLabels:this.getAxisLabels(a,t,i,n),borderLines:this.getBorders(n),title:this.getTitle(e)}}};const d={parser:s,db:{setWidth:function(t){c.setConfig({chartWidth:t})},setHeight:function(t){c.setConfig({chartHeight:t})},setQuadrant1Text:function(t){c.setData({quadrant1Text:h(t.text)})},setQuadrant2Text:function(t){c.setData({quadrant2Text:h(t.text)})},setQuadrant3Text:function(t){c.setData({quadrant3Text:h(t.text)})},setQuadrant4Text:function(t){c.setData({quadrant4Text:h(t.text)})},setXAxisLeftText:function(t){c.setData({xAxisLeftText:h(t.text)})},setXAxisRightText:function(t){c.setData({xAxisRightText:h(t.text)})},setYAxisTopText:function(t){c.setData({yAxisTopText:h(t.text)})},setYAxisBottomText:function(t){c.setData({yAxisBottomText:h(t.text)})},addPoint:function(t,i,e){c.addPoints([{x:i,y:e,text:h(t.text)}])},getQuadrantData:function(){const t=(0,a.c)(),{themeVariables:i,quadrantChart:e}=t;return e&&c.setConfig(e),c.setThemeConfig({quadrant1Fill:i.quadrant1Fill,quadrant2Fill:i.quadrant2Fill,quadrant3Fill:i.quadrant3Fill,quadrant4Fill:i.quadrant4Fill,quadrant1TextFill:i.quadrant1TextFill,quadrant2TextFill:i.quadrant2TextFill,quadrant3TextFill:i.quadrant3TextFill,quadrant4TextFill:i.quadrant4TextFill,quadrantPointFill:i.quadrantPointFill,quadrantPointTextFill:i.quadrantPointTextFill,quadrantXAxisTextFill:i.quadrantXAxisTextFill,quadrantYAxisTextFill:i.quadrantYAxisTextFill,quadrantExternalBorderStrokeFill:i.quadrantExternalBorderStrokeFill,quadrantInternalBorderStrokeFill:i.quadrantInternalBorderStrokeFill,quadrantTitleFill:i.quadrantTitleFill}),c.setData({titleText:(0,a.r)()}),c.build()},clear:function(){c.clear(),(0,a.t)()},setAccTitle:a.s,getAccTitle:a.g,setDiagramTitle:a.q,getDiagramTitle:a.r,getAccDescription:a.a,setAccDescription:a.b},renderer:{draw:(t,i,e,r)=>{var s,l,o;function h(t){return"top"===t?"hanging":"middle"}function c(t){return"left"===t?"start":"middle"}function d(t){return`translate(${t.x}, ${t.y}) rotate(${t.rotation||0})`}const u=(0,a.c)();a.l.debug("Rendering quadrant chart\n"+t);const x=u.securityLevel;let g;"sandbox"===x&&(g=(0,n.MlD)("#i"+i));const f=("sandbox"===x?(0,n.MlD)(g.nodes()[0].contentDocument.body):(0,n.MlD)("body")).select(`[id="${i}"]`),y=f.append("g").attr("class","main"),p=(null==(s=u.quadrantChart)?void 0:s.chartWidth)||500,q=(null==(l=u.quadrantChart)?void 0:l.chartHeight)||500;(0,a.i)(f,q,p,(null==(o=u.quadrantChart)?void 0:o.useMaxWidth)||!0),f.attr("viewBox","0 0 "+p+" "+q),r.db.setHeight(q),r.db.setWidth(p);const T=r.db.getQuadrantData(),A=y.append("g").attr("class","quadrants"),m=y.append("g").attr("class","border"),_=y.append("g").attr("class","data-points"),b=y.append("g").attr("class","labels"),S=y.append("g").attr("class","title");T.title&&S.append("text").attr("x",0).attr("y",0).attr("fill",T.title.fill).attr("font-size",T.title.fontSize).attr("dominant-baseline",h(T.title.horizontalPos)).attr("text-anchor",c(T.title.verticalPos)).attr("transform",d(T.title)).text(T.title.text),T.borderLines&&m.selectAll("line").data(T.borderLines).enter().append("line").attr("x1",(t=>t.x1)).attr("y1",(t=>t.y1)).attr("x2",(t=>t.x2)).attr("y2",(t=>t.y2)).style("stroke",(t=>t.strokeFill)).style("stroke-width",(t=>t.strokeWidth));const 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The evaluation data should be untarred into the same root as the training data."]}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:["The Github repository containing the baseline code is ",(0,t.jsx)(n.a,{href:"https://github.com/claritychallenge/clarity_CC",children:"here"}),". The repository contains code for CPC1 and also for the earlier enhancement challenge CEC1. You will find all the necessary instructions for installing the data and setting up the baseline system: i.e. running the MSBG hearing loss model and MBSTOI intelligibility prediction stage. We will be making a further small release in early December to specify the final evaluation metrics that we will be using to rank entries."]}),"\n",(0,t.jsxs)(n.admonition,{type:"info",children:[(0,t.jsxs)(n.p,{children:["The Challenge is now closed but the data is still available for anyone to use. 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We will also be updating it with answers to any ",(0,s.jsx)(i.strong,{children:"challenge specific questions"})," that we receive."]})}),"\n",(0,s.jsx)(i.h2,{id:"speech-intelligibility",children:"Speech Intelligibility"}),"\n",(0,s.jsx)(i.h3,{id:"what-is-speech-intelligibility",children:"What is Speech Intelligibility?"}),"\n",(0,s.jsxs)(i.p,{children:["The term ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Intelligibility_(communication)",children:"Speech Intelligibility"})," is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models."]}),"\n",(0,s.jsx)(i.p,{children:"Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener."}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-measured-with-listeners",children:"How is Speech Intelligibility measured with listeners?"}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence."}),"\n",(0,s.jsxs)(i.p,{children:["You might consider looking at ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S1877050918302187",children:"other metrics"}),", such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project."]}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",children:"How is Speech Intelligibility objectively measured by a computer?"}),"\n",(0,s.jsx)(i.p,{children:"When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals."}),"\n",(0,s.jsx)(i.p,{children:"Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal."}),"\n",(0,s.jsx)(i.li,{children:"Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone."}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(51746).Z+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(58150).Z+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(n.Z,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids."})}),"\n",(0,s.jsx)(i.h2,{id:"hearing-loss",children:"Hearing Loss"}),"\n",(0,s.jsxs)(i.p,{children:["There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of ",(0,s.jsx)(i.a,{href:"https://rnid.org.uk/information-and-support/hearing-loss/types-of-hearing-loss-and-deafness/",children:"sensorineural hearing loss"}),"."]}),"\n",(0,s.jsx)(i.h3,{id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",children:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?"}),"\n",(0,s.jsx)(i.p,{children:"In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits."}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/waPONoYrf8Q",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(n.Z,{summary:"Click arrow to see synopsis.",children:(0,s.jsxs)(i.p,{children:["Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/en/definition/suprathreshold",children:"suprathreshold"})," deficits remain. The most common type of hearing loss is a ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/definition/cochlear",children:"cochlear"})," hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon."]})}),"\n",(0,s.jsx)(i.h2,{id:"prediction-model",children:"Prediction model"}),"\n",(0,s.jsx)(i.h3,{id:"do-i-have-to-use-a-separate-hearing-loss-model",children:"Do I have to use a separate hearing loss model?"}),"\n",(0,s.jsx)(i.p,{children:"No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception."}),"\n",(0,s.jsx)(i.h3,{id:"what-should-the-output-of-my-prediction-model-be",children:"What should the output of my prediction model be?"}),"\n",(0,s.jsx)(i.p,{children:"The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal."}),"\n",(0,s.jsx)(i.h2,{id:"data",children:"Data"}),"\n",(0,s.jsx)(i.h3,{id:"do-you-have-suggestions-for-expanding-the-training-data",children:"Do you have suggestions for expanding the training data?"}),"\n",(0,s.jsx)(i.p,{children:"The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsupervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://www.fit.vut.cz/person/izmolikova/functions/.en#nav",children:"Katerina Zmolikova"})," has made ",(0,s.jsx)(i.a,{href:"https://github.com/BUTSpeechFIT/torch_msbg_mbstoi",children:"her Pytorch version of the baseline hearing impairment and speech intelligibility model available"}),". Both model fit a neural network framework, are faster but more approximate (see graphs on github)."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://pubmed.ncbi.nlm.nih.gov/29554034/",children:"HASQI and HASPI"})," are quality and speech intelligibility metrics designed to work for people with a hearing impairment. ",(0,s.jsx)(i.a,{href:"cpc2_faq/#speech-intelligibility",children:"James Kates explains more about these above"}),". ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(51746).Z+"",children:"MATLAB code HASPI v2 and HASQI v2"})," are available, along with the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(58150).Z+"",children:"user guide"}),"."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://github.com/dhimasryan/STOI-Net",children:"STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model"})," by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is ",(0,s.jsx)(i.a,{href:"http://ah-andersen.net/code/",children:"Asger Heidemann Andersen's MATLAB code"}),"."]}),"\n"]}),"\n",(0,s.jsx)(i.h3,{id:"missing-data",children:"Missing data"}),"\n",(0,s.jsx)(i.p,{children:"We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with."}),"\n",(0,s.jsxs)(i.ol,{children:["\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsx)(i.p,{children:"One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantify the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss."}),"\n"]}),"\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsxs)(i.p,{children:["Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, ",(0,s.jsx)(i.a,{href:"https://towardsdatascience.com/all-about-missing-data-handling-b94b8b5d2184",children:"e.g. towards data science"})," discussing different approaches."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'."}),"\n",(0,s.jsx)(i.p,{children:"One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable."}),"\n",(0,s.jsxs)(i.p,{children:["A more sophisticated approach is to fill gaps in data via ",(0,s.jsx)(i.em,{children:"imputation"})," i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data."]})]})}function p(e={}){const{wrapper:i}={...(0,a.a)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},34673:(e,i,t)=>{t.d(i,{Z:()=>f});var s=t(67294),a=t(36905),n=t(788),o=t(28138),r=t(72389),l=t(86043);const h={details:"details_lb9f",isBrowser:"isBrowser_bmU9",collapsibleContent:"collapsibleContent_i85q"};var d=t(85893);function c(e){return!!e&&("SUMMARY"===e.tagName||c(e.parentElement))}function p(e,i){return!!e&&(e===i||p(e.parentElement,i))}function u(e){let{summary:i,children:t,...a}=e;(0,o.Z)().collectAnchor(a.id);const u=(0,r.Z)(),m=(0,s.useRef)(null),{collapsed:g,setCollapsed:f}=(0,l.u)({initialState:!a.open}),[b,y]=(0,s.useState)(a.open),w=s.isValidElement(i)?i:(0,d.jsx)("summary",{children:i??"Details"});return(0,d.jsxs)("details",{...a,ref:m,open:b,"data-collapsed":g,className:(0,n.Z)(h.details,u&&h.isBrowser,a.className),onMouseDown:e=>{c(e.target)&&e.detail>1&&e.preventDefault()},onClick:e=>{e.stopPropagation();const i=e.target;c(i)&&p(i,m.current)&&(e.preventDefault(),g?(f(!1),y(!0)):f(!0))},children:[w,(0,d.jsx)(l.z,{lazy:!1,collapsed:g,disableSSRStyle:!0,onCollapseTransitionEnd:e=>{f(e),y(!e)},children:(0,d.jsx)("div",{className:h.collapsibleContent,children:t})})]})}const m={details:"details_b_Ee"},g="alert alert--info";function f(e){let{...i}=e;return(0,d.jsx)(u,{...i,className:(0,a.Z)(g,m.details,i.className)})}},51746:(e,i,t)=>{t.d(i,{Z:()=>s});const s=t.p+"assets/files/HASPIv2_HASQIv2_HAAQIv1-90688098b8d9e90fdc1ee4516175688c.zip"},58150:(e,i,t)=>{t.d(i,{Z:()=>s});const s=t.p+"assets/files/Users_Guide_ver3-079c55157dae104c506c47dd0bf03565.zip"},11151:(e,i,t)=>{t.d(i,{Z:()=>r,a:()=>o});var s=t(67294);const a={},n=s.createContext(a);function o(e){const i=s.useContext(n);return s.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function r(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:o(e.components),s.createElement(n.Provider,{value:i},e.children)}}}]); \ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[2944],{77024:(e,i,t)=>{t.r(i),t.d(i,{assets:()=>h,contentTitle:()=>r,default:()=>p,frontMatter:()=>o,metadata:()=>l,toc:()=>d});var s=t(17624),a=t(4552),n=t(22808);const o={id:"cpc2_faq",title:"FAQ for CPC2",sidebar_label:"FAQ",sidebar_position:12},r=void 0,l={id:"cpc2/taking_part/cpc2_faq",title:"FAQ for CPC2",description:"This pages contains some background information on the topics of speech intelligibility, hearing loss and objective measures. We will also be updating it with answers to any challenge specific questions that we receive.",source:"@site/docs/cpc2/taking_part/cpc2_faq.mdx",sourceDirName:"cpc2/taking_part",slug:"/cpc2/taking_part/cpc2_faq",permalink:"/docs/cpc2/taking_part/cpc2_faq",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:12,frontMatter:{id:"cpc2_faq",title:"FAQ for CPC2",sidebar_label:"FAQ",sidebar_position:12},sidebar:"tutorialSidebar_cpc2",previous:{title:"Prizes",permalink:"/docs/cpc2/taking_part/cpc2_prizes"},next:{title:"Results",permalink:"/docs/cpc2/cpc2_results"}},h={},d=[{value:"Speech Intelligibility",id:"speech-intelligibility",level:2},{value:"What is Speech Intelligibility?",id:"what-is-speech-intelligibility",level:3},{value:"How is Speech Intelligibility measured with listeners?",id:"how-is-speech-intelligibility-measured-with-listeners",level:3},{value:"How is Speech Intelligibility objectively measured by a computer?",id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",level:3},{value:"What speech intelligibility models already exist and what are they used for?",id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",level:3},{value:"Hearing Loss",id:"hearing-loss",level:2},{value:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?",id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",level:3},{value:"Prediction model",id:"prediction-model",level:2},{value:"Do I have to use a separate hearing loss model?",id:"do-i-have-to-use-a-separate-hearing-loss-model",level:3},{value:"What should the output of my prediction model be?",id:"what-should-the-output-of-my-prediction-model-be",level:3},{value:"Data",id:"data",level:2},{value:"Do you have suggestions for expanding the training data?",id:"do-you-have-suggestions-for-expanding-the-training-data",level:3},{value:"Missing data",id:"missing-data",level:3}];function c(e){const i={a:"a",admonition:"admonition",em:"em",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,a.M)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.admonition,{title:"About this FAQ",type:"info",children:(0,s.jsxs)(i.p,{children:["This pages contains some background information on the topics of ",(0,s.jsx)(i.strong,{children:"speech intelligibility"}),", ",(0,s.jsx)(i.strong,{children:"hearing loss"})," and ",(0,s.jsx)(i.strong,{children:"objective measures"}),". We will also be updating it with answers to any ",(0,s.jsx)(i.strong,{children:"challenge specific questions"})," that we receive."]})}),"\n",(0,s.jsx)(i.h2,{id:"speech-intelligibility",children:"Speech Intelligibility"}),"\n",(0,s.jsx)(i.h3,{id:"what-is-speech-intelligibility",children:"What is Speech Intelligibility?"}),"\n",(0,s.jsxs)(i.p,{children:["The term ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Intelligibility_(communication)",children:"Speech Intelligibility"})," is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models."]}),"\n",(0,s.jsx)(i.p,{children:"Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener."}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-measured-with-listeners",children:"How is Speech Intelligibility measured with listeners?"}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence."}),"\n",(0,s.jsxs)(i.p,{children:["You might consider looking at ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S1877050918302187",children:"other metrics"}),", such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project."]}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",children:"How is Speech Intelligibility objectively measured by a computer?"}),"\n",(0,s.jsx)(i.p,{children:"When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals."}),"\n",(0,s.jsx)(i.p,{children:"Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal."}),"\n",(0,s.jsx)(i.li,{children:"Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone."}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(66636).c+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(96236).c+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(n.c,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids."})}),"\n",(0,s.jsx)(i.h2,{id:"hearing-loss",children:"Hearing Loss"}),"\n",(0,s.jsxs)(i.p,{children:["There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of ",(0,s.jsx)(i.a,{href:"https://rnid.org.uk/information-and-support/hearing-loss/types-of-hearing-loss-and-deafness/",children:"sensorineural hearing loss"}),"."]}),"\n",(0,s.jsx)(i.h3,{id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",children:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?"}),"\n",(0,s.jsx)(i.p,{children:"In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits."}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/waPONoYrf8Q",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(n.c,{summary:"Click arrow to see synopsis.",children:(0,s.jsxs)(i.p,{children:["Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/en/definition/suprathreshold",children:"suprathreshold"})," deficits remain. The most common type of hearing loss is a ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/definition/cochlear",children:"cochlear"})," hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon."]})}),"\n",(0,s.jsx)(i.h2,{id:"prediction-model",children:"Prediction model"}),"\n",(0,s.jsx)(i.h3,{id:"do-i-have-to-use-a-separate-hearing-loss-model",children:"Do I have to use a separate hearing loss model?"}),"\n",(0,s.jsx)(i.p,{children:"No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception."}),"\n",(0,s.jsx)(i.h3,{id:"what-should-the-output-of-my-prediction-model-be",children:"What should the output of my prediction model be?"}),"\n",(0,s.jsx)(i.p,{children:"The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal."}),"\n",(0,s.jsx)(i.h2,{id:"data",children:"Data"}),"\n",(0,s.jsx)(i.h3,{id:"do-you-have-suggestions-for-expanding-the-training-data",children:"Do you have suggestions for expanding the training data?"}),"\n",(0,s.jsx)(i.p,{children:"The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsupervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://www.fit.vut.cz/person/izmolikova/functions/.en#nav",children:"Katerina Zmolikova"})," has made ",(0,s.jsx)(i.a,{href:"https://github.com/BUTSpeechFIT/torch_msbg_mbstoi",children:"her Pytorch version of the baseline hearing impairment and speech intelligibility model available"}),". Both model fit a neural network framework, are faster but more approximate (see graphs on github)."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://pubmed.ncbi.nlm.nih.gov/29554034/",children:"HASQI and HASPI"})," are quality and speech intelligibility metrics designed to work for people with a hearing impairment. ",(0,s.jsx)(i.a,{href:"cpc2_faq/#speech-intelligibility",children:"James Kates explains more about these above"}),". ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(66636).c+"",children:"MATLAB code HASPI v2 and HASQI v2"})," are available, along with the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(96236).c+"",children:"user guide"}),"."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://github.com/dhimasryan/STOI-Net",children:"STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model"})," by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is ",(0,s.jsx)(i.a,{href:"http://ah-andersen.net/code/",children:"Asger Heidemann Andersen's MATLAB code"}),"."]}),"\n"]}),"\n",(0,s.jsx)(i.h3,{id:"missing-data",children:"Missing data"}),"\n",(0,s.jsx)(i.p,{children:"We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with."}),"\n",(0,s.jsxs)(i.ol,{children:["\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsx)(i.p,{children:"One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantify the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss."}),"\n"]}),"\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsxs)(i.p,{children:["Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, ",(0,s.jsx)(i.a,{href:"https://towardsdatascience.com/all-about-missing-data-handling-b94b8b5d2184",children:"e.g. towards data science"})," discussing different approaches."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'."}),"\n",(0,s.jsx)(i.p,{children:"One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable."}),"\n",(0,s.jsxs)(i.p,{children:["A more sophisticated approach is to fill gaps in data via ",(0,s.jsx)(i.em,{children:"imputation"})," i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data."]})]})}function p(e={}){const{wrapper:i}={...(0,a.M)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},22808:(e,i,t)=>{t.d(i,{c:()=>f});var s=t(11504),a=t(34064),n=t(15420),o=t(5976),r=t(93664),l=t(58448);const h={details:"details_lb9f",isBrowser:"isBrowser_bmU9",collapsibleContent:"collapsibleContent_i85q"};var d=t(17624);function c(e){return!!e&&("SUMMARY"===e.tagName||c(e.parentElement))}function p(e,i){return!!e&&(e===i||p(e.parentElement,i))}function u(e){let{summary:i,children:t,...a}=e;(0,o.c)().collectAnchor(a.id);const u=(0,r.c)(),m=(0,s.useRef)(null),{collapsed:g,setCollapsed:f}=(0,l.a)({initialState:!a.open}),[b,y]=(0,s.useState)(a.open),w=s.isValidElement(i)?i:(0,d.jsx)("summary",{children:i??"Details"});return(0,d.jsxs)("details",{...a,ref:m,open:b,"data-collapsed":g,className:(0,n.c)(h.details,u&&h.isBrowser,a.className),onMouseDown:e=>{c(e.target)&&e.detail>1&&e.preventDefault()},onClick:e=>{e.stopPropagation();const i=e.target;c(i)&&p(i,m.current)&&(e.preventDefault(),g?(f(!1),y(!0)):f(!0))},children:[w,(0,d.jsx)(l.U,{lazy:!1,collapsed:g,disableSSRStyle:!0,onCollapseTransitionEnd:e=>{f(e),y(!e)},children:(0,d.jsx)("div",{className:h.collapsibleContent,children:t})})]})}const m={details:"details_b_Ee"},g="alert alert--info";function f(e){let{...i}=e;return(0,d.jsx)(u,{...i,className:(0,a.c)(g,m.details,i.className)})}},66636:(e,i,t)=>{t.d(i,{c:()=>s});const s=t.p+"assets/files/HASPIv2_HASQIv2_HAAQIv1-90688098b8d9e90fdc1ee4516175688c.zip"},96236:(e,i,t)=>{t.d(i,{c:()=>s});const s=t.p+"assets/files/Users_Guide_ver3-079c55157dae104c506c47dd0bf03565.zip"},4552:(e,i,t)=>{t.d(i,{I:()=>r,M:()=>o});var s=t(11504);const a={},n=s.createContext(a);function o(e){const i=s.useContext(n);return s.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function r(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:o(e.components),s.createElement(n.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/60d58bd6.f470a8a1.js b/assets/js/60d58bd6.f470a8a1.js new file mode 100644 index 000000000..e2961cf37 --- /dev/null +++ b/assets/js/60d58bd6.f470a8a1.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[2464],{71060:(e,t,s)=>{s.r(t),s.d(t,{assets:()=>l,contentTitle:()=>a,default:()=>c,frontMatter:()=>r,metadata:()=>o,toc:()=>h});var i=s(17624),n=s(4552);const r={id:"cpc2_intro",title:"The 2nd Clarity Prediction Challenge",sidebar_label:"CPC2 Introduction",sidebar_position:1},a=void 0,o={id:"cpc2/cpc2_intro",title:"The 2nd Clarity Prediction Challenge",description:"The 2nd Clarity Prediction Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the Clarity-2023 Workshsop website.",source:"@site/docs/cpc2/cpc2_intro.mdx",sourceDirName:"cpc2",slug:"/cpc2/cpc2_intro",permalink:"/docs/cpc2/cpc2_intro",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:1,frontMatter:{id:"cpc2_intro",title:"The 2nd Clarity Prediction Challenge",sidebar_label:"CPC2 Introduction",sidebar_position:1},sidebar:"tutorialSidebar_cpc2",next:{title:"Important Dates",permalink:"/docs/cpc2/cpc2_dates"}},l={},h=[{value:"Short Description",id:"short-description",level:2},{value:"The data",id:"the-data",level:3},{value:"The task",id:"the-task",level:3},{value:"Registering and submitting",id:"registering-and-submitting",level:3}];function d(e){const t={a:"a",admonition:"admonition",h2:"h2",h3:"h3",li:"li",p:"p",ul:"ul",...(0,n.M)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsxs)(t.admonition,{type:"info",children:[(0,i.jsxs)(t.p,{children:["The 2nd Clarity Prediction Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the ",(0,i.jsx)("b",{children:(0,i.jsx)("a",{href:"https://claritychallenge.org/clarity2023-workshop/",children:"Clarity-2023 Workshsop website"})}),"."]}),(0,i.jsxs)(t.p,{children:["For details of information on forthcoming challenge see ",(0,i.jsx)("b",{children:(0,i.jsx)("a",{href:"https://claritychallenge.org/timeline",children:"here"})}),"."]})]}),"\n",(0,i.jsxs)(t.p,{children:["To allow the development of better hearing aids, we need ways to evaluate the speech intelligibility of audio signals automatically. We need a prediction model that takes the audio produced by a hearing aid and the listener's characteristics (e.g. ",(0,i.jsx)(t.a,{href:"https://www.hear-it.org/Audiogram-",children:"audiogram"}),") and estimates the speech intelligibility score that the listener would achieve in a listening test."]}),"\n",(0,i.jsxs)(t.p,{children:["Last year we ran the ",(0,i.jsx)(t.a,{href:"../cpc1/cpc1_intro",children:"CPC1 Challenge"})," to develop such a model. The challenge was presented at an online workshop and a special session of Interspeech 2022. We are now running the 2nd round of this challenge, which builds on the first by using more complex signals and a larger set of listening test data for training and evaluating the prediction systems."]}),"\n",(0,i.jsxs)(t.p,{children:["The outputs of the new challenge will be presented at an ",(0,i.jsx)(t.a,{href:"https://claritychallenge.org/clarity2023-workshop/",children:"ISCA workshop"})," that is being run as a satellite event to Interspeech 2023 in Dublin on 19th August 2023."]}),"\n",(0,i.jsx)(t.p,{children:"This site provides entrants with what they need to know to take part in the challenge."}),"\n",(0,i.jsx)(t.h2,{id:"short-description",children:"Short Description"}),"\n",(0,i.jsx)(t.p,{children:"The task involves estimating the intelligibility of speech-in-noise signals that have been processed by hearing aid algorithms and presented to listeners with hearing loss. Each signal contains a short sentence that the listeners were asked to repeat. The system you build needs to be able to predict how many of the words were recognised correctly by the listeners. It is not expected that systems can do this accurately on a per sentence basis, but rather we will rank systems on this basis of how well they perform over a large evaluation set, i.e., which system produces the lowest average estimation error."}),"\n",(0,i.jsx)(t.p,{children:"The hearing aid signals being assessed vary widely in quality. Examples of good, fair and poor signals are provided below. Your prediction algorithm needs to be able to cope with this variation."}),"\n",(0,i.jsxs)("table",{children:[(0,i.jsxs)("tr",{children:[(0,i.jsx)("th",{children:"Good"}),(0,i.jsx)("th",{children:"Fair"}),(0,i.jsx)("th",{children:"Poor"})]}),(0,i.jsxs)("tr",{children:[(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E009/S08501_L0104_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})}),(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E022/S08501_L0104_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})}),(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E032/S08501_L0104_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})})]}),(0,i.jsxs)("tr",{children:[(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E009/S08502_L0106_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})}),(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E022/S08502_L0106_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})}),(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E032/S08502_L0106_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})})]})]}),"\n",(0,i.jsx)(t.h3,{id:"the-data",children:"The data"}),"\n",(0,i.jsx)(t.p,{children:"You will be provided with a set of training data which you can use to develop your systems. This data consists of"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"Audio produced by a variety of (simulated) hearing aids for speech-in-noise;"}),"\n",(0,i.jsx)(t.li,{children:"The corresponding clean reference signals (the original speech);"}),"\n",(0,i.jsx)(t.li,{children:"Characteristics of the listeners (pure tone audiograms, etc);"}),"\n",(0,i.jsx)(t.li,{children:"The measured speech intelligibility scores from listening tests, where the listener was asked to say what they heard after listening to the hearing aid processed signal."}),"\n"]}),"\n",(0,i.jsxs)(t.p,{children:["For full details of the data see the ",(0,i.jsx)(t.a,{href:"./cpc2_data",children:"Data"})," page."]}),"\n",(0,i.jsx)(t.h3,{id:"the-task",children:"The task"}),"\n",(0,i.jsx)(t.p,{children:"You will be provided with an evaluation set containing"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"Audio produced by a variety of (simulated) hearing aids for speech-in-noise;"}),"\n",(0,i.jsx)(t.li,{children:"The audiogram of a listener;"}),"\n",(0,i.jsx)(t.li,{children:"The clean reference signal (the original speech)."}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Your task will be to produce a score (0.0 to 1.0), which should predict the proportion of words in the reference signal that the listener would be able to repeat correctly after listening to the hearing aid processed signal."}),"\n",(0,i.jsx)(t.p,{children:"We will be considering two types of system: intrusive and non-intrusive. Intrusive systems (also known as double-ended) are those that require a clean speech reference, and non-intrusive systems (also known as single-ended) are those that use the hearing aid output alone."}),"\n",(0,i.jsx)(t.p,{children:"Intrusive and non-intrusive systems will be separately ranked according to the RMSE between their predictions and the true values."}),"\n",(0,i.jsxs)(t.p,{children:["To help you get started we have provided a baseline system that uses the HASPI metric to predict the speech intelligibility score. Details of this system are available on the ",(0,i.jsx)(t.a,{href:"./cpc2_baseline",children:"Baseline"})," page."]}),"\n",(0,i.jsxs)(t.p,{children:["For full details of the task see the ",(0,i.jsx)(t.a,{href:"./taking_part/cpc2_rules",children:"rules"})," page."]}),"\n",(0,i.jsx)(t.h3,{id:"registering-and-submitting",children:"Registering and submitting"}),"\n",(0,i.jsxs)(t.p,{children:["To take part in the challenge you will need to ",(0,i.jsx)(t.a,{href:"./taking_part/cpc2_registration",children:"register your team"})," and ",(0,i.jsx)(t.a,{href:"./cpc2_download",children:"download the data"}),". Entrants will have until 31st July to complete their submissions. Full instructions for submission are available on the ",(0,i.jsx)(t.a,{href:"./taking_part/cpc2_submission",children:"Submission"})," page."]})]})}function c(e={}){const{wrapper:t}={...(0,n.M)(),...e.components};return t?(0,i.jsx)(t,{...e,children:(0,i.jsx)(d,{...e})}):d(e)}},4552:(e,t,s)=>{s.d(t,{I:()=>o,M:()=>a});var i=s(11504);const n={},r=i.createContext(n);function a(e){const t=i.useContext(r);return i.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function o(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(n):e.components||n:a(e.components),i.createElement(r.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/60d58bd6.f9a322ea.js b/assets/js/60d58bd6.f9a322ea.js deleted file mode 100644 index 6bf7f2711..000000000 --- a/assets/js/60d58bd6.f9a322ea.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[3803],{68101:(e,t,s)=>{s.r(t),s.d(t,{assets:()=>l,contentTitle:()=>a,default:()=>c,frontMatter:()=>r,metadata:()=>o,toc:()=>h});var i=s(85893),n=s(11151);const r={id:"cpc2_intro",title:"The 2nd Clarity Prediction Challenge",sidebar_label:"CPC2 Introduction",sidebar_position:1},a=void 0,o={id:"cpc2/cpc2_intro",title:"The 2nd Clarity Prediction Challenge",description:"The 2nd Clarity Prediction Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the Clarity-2023 Workshsop website.",source:"@site/docs/cpc2/cpc2_intro.mdx",sourceDirName:"cpc2",slug:"/cpc2/cpc2_intro",permalink:"/docs/cpc2/cpc2_intro",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:1,frontMatter:{id:"cpc2_intro",title:"The 2nd Clarity Prediction Challenge",sidebar_label:"CPC2 Introduction",sidebar_position:1},sidebar:"tutorialSidebar_cpc2",next:{title:"Important Dates",permalink:"/docs/cpc2/cpc2_dates"}},l={},h=[{value:"Short Description",id:"short-description",level:2},{value:"The data",id:"the-data",level:3},{value:"The task",id:"the-task",level:3},{value:"Registering and submitting",id:"registering-and-submitting",level:3}];function d(e){const t={a:"a",admonition:"admonition",h2:"h2",h3:"h3",li:"li",p:"p",ul:"ul",...(0,n.a)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsxs)(t.admonition,{type:"info",children:[(0,i.jsxs)(t.p,{children:["The 2nd Clarity Prediction Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the ",(0,i.jsx)("b",{children:(0,i.jsx)("a",{href:"https://claritychallenge.org/clarity2023-workshop/",children:"Clarity-2023 Workshsop website"})}),"."]}),(0,i.jsxs)(t.p,{children:["For details of information on forthcoming challenge see ",(0,i.jsx)("b",{children:(0,i.jsx)("a",{href:"https://claritychallenge.org/timeline",children:"here"})}),"."]})]}),"\n",(0,i.jsxs)(t.p,{children:["To allow the development of better hearing aids, we need ways to evaluate the speech intelligibility of audio signals automatically. We need a prediction model that takes the audio produced by a hearing aid and the listener's characteristics (e.g. ",(0,i.jsx)(t.a,{href:"https://www.hear-it.org/Audiogram-",children:"audiogram"}),") and estimates the speech intelligibility score that the listener would achieve in a listening test."]}),"\n",(0,i.jsxs)(t.p,{children:["Last year we ran the ",(0,i.jsx)(t.a,{href:"../cpc1/cpc1_intro",children:"CPC1 Challenge"})," to develop such a model. The challenge was presented at an online workshop and a special session of Interspeech 2022. We are now running the 2nd round of this challenge, which builds on the first by using more complex signals and a larger set of listening test data for training and evaluating the prediction systems."]}),"\n",(0,i.jsxs)(t.p,{children:["The outputs of the new challenge will be presented at an ",(0,i.jsx)(t.a,{href:"https://claritychallenge.org/clarity2023-workshop/",children:"ISCA workshop"})," that is being run as a satellite event to Interspeech 2023 in Dublin on 19th August 2023."]}),"\n",(0,i.jsx)(t.p,{children:"This site provides entrants with what they need to know to take part in the challenge."}),"\n",(0,i.jsx)(t.h2,{id:"short-description",children:"Short Description"}),"\n",(0,i.jsx)(t.p,{children:"The task involves estimating the intelligibility of speech-in-noise signals that have been processed by hearing aid algorithms and presented to listeners with hearing loss. Each signal contains a short sentence that the listeners were asked to repeat. The system you build needs to be able to predict how many of the words were recognised correctly by the listeners. It is not expected that systems can do this accurately on a per sentence basis, but rather we will rank systems on this basis of how well they perform over a large evaluation set, i.e., which system produces the lowest average estimation error."}),"\n",(0,i.jsx)(t.p,{children:"The hearing aid signals being assessed vary widely in quality. Examples of good, fair and poor signals are provided below. Your prediction algorithm needs to be able to cope with this variation."}),"\n",(0,i.jsxs)("table",{children:[(0,i.jsxs)("tr",{children:[(0,i.jsx)("th",{children:"Good"}),(0,i.jsx)("th",{children:"Fair"}),(0,i.jsx)("th",{children:"Poor"})]}),(0,i.jsxs)("tr",{children:[(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E009/S08501_L0104_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})}),(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E022/S08501_L0104_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})}),(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E032/S08501_L0104_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})})]}),(0,i.jsxs)("tr",{children:[(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E009/S08502_L0106_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})}),(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E022/S08502_L0106_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})}),(0,i.jsx)("td",{children:(0,i.jsxs)("audio",{controls:!0,style:{width:"250px"},children:[(0,i.jsx)("source",{src:"/audio/CEC2_samples/CEC2_E032/S08502_L0106_HA-output.wav",type:"audio/wav"}),(0,i.jsx)(t.p,{children:"Your browser does not support the audio element."})]})})]})]}),"\n",(0,i.jsx)(t.h3,{id:"the-data",children:"The data"}),"\n",(0,i.jsx)(t.p,{children:"You will be provided with a set of training data which you can use to develop your systems. This data consists of"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"Audio produced by a variety of (simulated) hearing aids for speech-in-noise;"}),"\n",(0,i.jsx)(t.li,{children:"The corresponding clean reference signals (the original speech);"}),"\n",(0,i.jsx)(t.li,{children:"Characteristics of the listeners (pure tone audiograms, etc);"}),"\n",(0,i.jsx)(t.li,{children:"The measured speech intelligibility scores from listening tests, where the listener was asked to say what they heard after listening to the hearing aid processed signal."}),"\n"]}),"\n",(0,i.jsxs)(t.p,{children:["For full details of the data see the ",(0,i.jsx)(t.a,{href:"./cpc2_data",children:"Data"})," page."]}),"\n",(0,i.jsx)(t.h3,{id:"the-task",children:"The task"}),"\n",(0,i.jsx)(t.p,{children:"You will be provided with an evaluation set containing"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"Audio produced by a variety of (simulated) hearing aids for speech-in-noise;"}),"\n",(0,i.jsx)(t.li,{children:"The audiogram of a listener;"}),"\n",(0,i.jsx)(t.li,{children:"The clean reference signal (the original speech)."}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Your task will be to produce a score (0.0 to 1.0), which should predict the proportion of words in the reference signal that the listener would be able to repeat correctly after listening to the hearing aid processed signal."}),"\n",(0,i.jsx)(t.p,{children:"We will be considering two types of system: intrusive and non-intrusive. Intrusive systems (also known as double-ended) are those that require a clean speech reference, and non-intrusive systems (also known as single-ended) are those that use the hearing aid output alone."}),"\n",(0,i.jsx)(t.p,{children:"Intrusive and non-intrusive systems will be separately ranked according to the RMSE between their predictions and the true values."}),"\n",(0,i.jsxs)(t.p,{children:["To help you get started we have provided a baseline system that uses the HASPI metric to predict the speech intelligibility score. Details of this system are available on the ",(0,i.jsx)(t.a,{href:"./cpc2_baseline",children:"Baseline"})," page."]}),"\n",(0,i.jsxs)(t.p,{children:["For full details of the task see the ",(0,i.jsx)(t.a,{href:"./taking_part/cpc2_rules",children:"rules"})," page."]}),"\n",(0,i.jsx)(t.h3,{id:"registering-and-submitting",children:"Registering and submitting"}),"\n",(0,i.jsxs)(t.p,{children:["To take part in the challenge you will need to ",(0,i.jsx)(t.a,{href:"./taking_part/cpc2_registration",children:"register your team"})," and ",(0,i.jsx)(t.a,{href:"./cpc2_download",children:"download the data"}),". Entrants will have until 31st July to complete their submissions. Full instructions for submission are available on the ",(0,i.jsx)(t.a,{href:"./taking_part/cpc2_submission",children:"Submission"})," page."]})]})}function c(e={}){const{wrapper:t}={...(0,n.a)(),...e.components};return t?(0,i.jsx)(t,{...e,children:(0,i.jsx)(d,{...e})}):d(e)}},11151:(e,t,s)=>{s.d(t,{Z:()=>o,a:()=>a});var i=s(67294);const n={},r=i.createContext(n);function a(e){const t=i.useContext(r);return i.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function o(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(n):e.components||n:a(e.components),i.createElement(r.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/61418d1a.a9fa4578.js b/assets/js/61418d1a.a9fa4578.js new file mode 100644 index 000000000..9888f4c10 --- /dev/null +++ b/assets/js/61418d1a.a9fa4578.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[5268],{73312:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/haspi","page":1,"postsPerPage":1,"totalPages":1,"totalCount":1,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file diff --git a/assets/js/61418d1a.ef1c4984.js b/assets/js/61418d1a.ef1c4984.js deleted file mode 100644 index 7bcfa1b87..000000000 --- a/assets/js/61418d1a.ef1c4984.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[890],{30455:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/haspi","page":1,"postsPerPage":1,"totalPages":1,"totalCount":1,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file diff --git a/assets/js/6179049e.8efc26b3.js b/assets/js/6179049e.dbd12366.js similarity index 91% rename from assets/js/6179049e.8efc26b3.js rename to assets/js/6179049e.dbd12366.js index 5ea9f7775..85f847386 100644 --- a/assets/js/6179049e.8efc26b3.js +++ b/assets/js/6179049e.dbd12366.js @@ -1 +1 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[5716],{9083:(e,i,t)=>{t.r(i),t.d(i,{assets:()=>l,contentTitle:()=>o,default:()=>h,frontMatter:()=>r,metadata:()=>a,toc:()=>c});var n=t(85893),s=t(11151);const r={id:"cpc1_submission",title:"Submission",sidebar_label:"Submission",sidebar_position:7},o=void 0,a={id:"cpc1/taking_part/cpc1_submission",title:"Submission",description:"Registration",source:"@site/docs/cpc1/taking_part/cpc1_submission.mdx",sourceDirName:"cpc1/taking_part",slug:"/cpc1/taking_part/cpc1_submission",permalink:"/docs/cpc1/taking_part/cpc1_submission",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:7,frontMatter:{id:"cpc1_submission",title:"Submission",sidebar_label:"Submission",sidebar_position:7},sidebar:"tutorialSidebar_cpc1",previous:{title:"Rules",permalink:"/docs/cpc1/taking_part/cpc1_rules"},next:{title:"Prizes",permalink:"/docs/cpc1/taking_part/cpc1_prizes"}},l={},c=[{value:"Registration",id:"registration",level:2},{value:"What evaluation data is provided?",id:"what-evaluation-data-is-provided",level:2},{value:"What do I need to submit?",id:"what-do-i-need-to-submit",level:2},{value:"The predicted intellgibility scores",id:"the-predicted-intellgibility-scores",level:3},{value:"Interspeech paper submission",id:"interspeech-paper-submission",level:3},{value:"The technical report",id:"the-technical-report",level:3},{value:"How will intellectual property be handled?",id:"how-will-intellectual-property-be-handled",level:2}];function d(e){const i={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",li:"li",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,s.a)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(i.h2,{id:"registration",children:"Registration"}),"\n",(0,n.jsxs)(i.p,{children:["Teams are required to ",(0,n.jsx)(i.a,{href:"./cpc1_registration",children:"register"})," to help us organise the challenge. Registered teams will be assigned a unique team ID."]}),"\n",(0,n.jsx)(i.h2,{id:"what-evaluation-data-is-provided",children:"What evaluation data is provided?"}),"\n",(0,n.jsx)(i.p,{children:"The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems."}),"\n",(0,n.jsxs)(i.p,{children:["The evaluation data is available for download here ",(0,n.jsx)(i.a,{href:"https://mab.to/R6H84YNf74p5U",children:"clarity_CPC1_data.test.v1.tgz"}),". See the ",(0,n.jsx)(i.a,{href:"../cpc1_download",children:"download"})," page for more details."]}),"\n",(0,n.jsx)(i.p,{children:"Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours for of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results."}),"\n",(0,n.jsx)(i.h2,{id:"what-do-i-need-to-submit",children:"What do I need to submit?"}),"\n",(0,n.jsx)(i.p,{children:"All teams must submit"}),"\n",(0,n.jsxs)(i.ul,{children:["\n",(0,n.jsx)(i.li,{children:"Their predicted intelligibility scores"}),"\n",(0,n.jsx)(i.li,{children:"An Interspeech paper describing their work (encouraged)"}),"\n",(0,n.jsx)(i.li,{children:"A two page technical report (mandatory)"}),"\n"]}),"\n",(0,n.jsx)(i.h3,{id:"the-predicted-intellgibility-scores",children:"The predicted intellgibility scores"}),"\n",(0,n.jsx)(i.p,{children:"You must submit your predicted intelligibility scores for the signals provided."}),"\n",(0,n.jsx)(i.p,{children:"The predictions should be sent in CSV format files with two columns:"}),"\n",(0,n.jsx)(i.pre,{children:(0,n.jsx)(i.code,{className:"language-csv",children:"signal_ID, intelligibility_score\n"})}),"\n",(0,n.jsxs)(i.p,{children:["Where the ",(0,n.jsx)(i.code,{children:"signal_ID"})," is the unique signal identifier used for the wav file name (e.g., ",(0,n.jsx)(i.code,{children:"S08510_L0239_E001"}),") and ",(0,n.jsx)(i.code,{children:"intelligibility_score"})," is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., for 0 to 100)."]}),"\n",(0,n.jsxs)(i.p,{children:["Your CSV files should be named as follows ",(0,n.jsx)(i.code,{children:"CPC1_.test.csv"})," and ",(0,n.jsx)(i.code,{children:"CPC1_.test_indep.csv"})," for closed set and open set evaluations respectively, where ",(0,n.jsx)(i.code,{children:""})," is your individual team ID, e.g. 'E001'."]}),"\n",(0,n.jsxs)(i.p,{children:["The files should be sent as email attachments to the email address: ",(0,n.jsx)(i.a,{href:"mailto:claritychallengecontact@gmail.com",children:"claritychallengecontact@gmail.com"})]}),"\n",(0,n.jsx)(i.p,{children:'Please use "CPC1 Submission " as the subject line.'}),"\n",(0,n.jsx)(i.p,{children:"We also encourage you to submit your prediction model(s) code."}),"\n",(0,n.jsx)(i.admonition,{type:"info",children:(0,n.jsx)(i.p,{children:"All registered teams will be emailed with their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline."})}),"\n",(0,n.jsx)(i.h3,{id:"interspeech-paper-submission",children:"Interspeech paper submission"}),"\n",(0,n.jsxs)(i.p,{children:["All teams are ",(0,n.jsx)(i.em,{children:"strongly"}),' encouraged to submit a paper describing their work to the Interspeech 2022 Special Session "',(0,n.jsx)(i.a,{href:"https://claritychallenge.github.io/interspeech2022_siphil",children:"Speech Intelligibility Prediction for Hearing-Impaired Listeners"}),'".']}),"\n",(0,n.jsxs)(i.p,{children:["Interspeech submission instructions are here ",(0,n.jsx)(i.a,{href:"https://interspeech2022.org/forauthor/submissions.php",children:"https://interspeech2022.org/forauthor/submissions.php"})]}),"\n",(0,n.jsx)(i.p,{children:"The Interspeech papers need to be initially submitted by March 21st (title and abstract), with the full paper due on March 28th."}),"\n",(0,n.jsx)(i.h3,{id:"the-technical-report",children:"The technical report"}),"\n",(0,n.jsxs)(i.p,{children:[(0,n.jsx)(i.strong,{children:"The two page technical report must be submitted as a paper to the Clarity-CPC1-2022 Workshop. Deadline 25th April 2022"}),". An author kit and submission instructions will be made available."]}),"\n",(0,n.jsxs)(i.p,{children:[(0,n.jsx)(i.strong,{children:"A draft of the report needs to be submitted along with your predictions by 21st March"}),". The draft needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates ",(0,n.jsx)(i.a,{href:"../cpc1_dates",children:"here"}),"."]}),"\n",(0,n.jsx)(i.p,{children:"Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules."}),"\n",(0,n.jsx)(i.p,{children:"Your report should cite the following document, which provides an overview of the challenge and the baseline system:"}),"\n",(0,n.jsx)(i.p,{children:(0,n.jsx)(i.em,{children:"Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. 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This short post outlines the importance of correcting for delays that your hearing aid processing algorithm introduces into the audio signals to allow MBSTOI to estimate the speech intelligibility accurately. It also discusses the importance of considering the audibility of signals before evaluation with MBSTOI."}),"\n",(0,n.jsx)(i.h2,{id:"evaluation",children:"Evaluation"}),"\n",(0,n.jsxs)(i.p,{children:["In stage one, entries will be ranked according to the average MBSTOI score across all samples in the evaluation test set. In the second stage, entries will be evaluated by the listening panel. There will be prizes for both stages. 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These approaches are motivated by what is know about which frequencies and modulation frequencies are most important for intelligibility. For each frequency band and frame (over the region of which it is the last frame), an intermediate correlation coefficient is calculated between the clean reference and processed power envelopes for each ear. These are averaged to obtain the MBSTOI index. Thus is usually between 0 and 1, and rises monotonically with measured intelligibility scores, such that higher values indicate greater speech intelligibility. Alignment is therefore required at the level of the one-third octave bands and short-time regions."}),"\n",(0,n.jsx)(i.p,{children:"Our baseline corrects for broadband delay per ear due to the hearing loss model. (The delay is measured by running a kronnecker delta function through the model for each ear.) However, the baseline software will not correct for delays created by your hearing aid processing."}),"\n",(0,n.jsx)(i.p,{children:"Consequently, when submitting your hearing aid output signals, you are responsible for correcting for any delays introduced by your hearing aid. Note that this must be done blindly; the clean reference signals will not be supplied for the test/evaluation set."}),"\n",(0,n.jsx)(i.h2,{id:"level-insensitivity",children:"Level insensitivity"}),"\n",(0,n.jsx)(i.p,{children:"MBSTOI is level-independent, i.e., MBSTOI is broadly insensitive to the level of the processed signal because it is calculated using a cross-correlation method. 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This short post outlines the importance of correcting for delays that your hearing aid processing algorithm introduces into the audio signals to allow MBSTOI to estimate the speech intelligibility accurately. It also discusses the importance of considering the audibility of signals before evaluation with MBSTOI."}),"\n",(0,n.jsx)(i.h2,{id:"evaluation",children:"Evaluation"}),"\n",(0,n.jsxs)(i.p,{children:["In stage one, entries will be ranked according to the average MBSTOI score across all samples in the evaluation test set. In the second stage, entries will be evaluated by the listening panel. There will be prizes for both stages. 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break; - case 20: + case 19: this.popState(); this.begin("callbackargs"); break; - case 21: + case 20: return 38; - case 22: + case 21: this.popState(); break; - case 23: + case 22: return 39; - case 24: + case 23: this.begin("click"); break; - case 25: + case 24: this.popState(); break; - case 26: + case 25: return 37; - case 27: + case 26: return 4; - case 28: + case 27: return 19; - case 29: + case 28: return 20; - case 30: + case 29: return 21; - case 31: + case 30: return 22; - case 32: + case 31: return 23; - case 33: + case 32: return 25; - case 34: + case 33: return 24; - case 35: + case 34: return 26; - case 36: + case 35: return 12; - case 37: + case 36: return 13; - case 38: + case 37: return 14; - case 39: + case 38: return 15; - case 40: + case 39: return 16; - case 41: + case 40: return 17; - case 42: + case 41: return 18; - case 43: + case 42: return "date"; - case 44: + case 43: return 27; - case 45: + case 44: return "accDescription"; - case 46: + case 45: return 33; - case 47: + case 46: return 35; - case 48: + case 47: return 36; - case 49: + case 48: return ":"; - case 50: + case 49: return 6; - case 51: + case 50: return "INVALID"; } }, - rules: [/^(?:%%\{)/i, /^(?:accTitle\s*:\s*)/i, /^(?:(?!\n||)*[^\n]*)/i, /^(?:accDescr\s*:\s*)/i, /^(?:(?!\n||)*[^\n]*)/i, /^(?:accDescr\s*\{\s*)/i, /^(?:[\}])/i, /^(?:[^\}]*)/i, /^(?:%%(?!\{)*[^\n]*)/i, /^(?:[^\}]%%*[^\n]*)/i, /^(?:%%*[^\n]*[\n]*)/i, /^(?:[\n]+)/i, /^(?:\s+)/i, /^(?:#[^\n]*)/i, /^(?:%[^\n]*)/i, /^(?:href[\s]+["])/i, /^(?:["])/i, /^(?:[^"]*)/i, /^(?:call[\s]+)/i, /^(?:\([\s]*\))/i, /^(?:\()/i, /^(?:[^(]*)/i, /^(?:\))/i, /^(?:[^)]*)/i, /^(?:click[\s]+)/i, /^(?:[\s\n])/i, /^(?:[^\s\n]*)/i, /^(?:gantt\b)/i, /^(?:dateFormat\s[^#\n;]+)/i, /^(?:inclusiveEndDates\b)/i, /^(?:topAxis\b)/i, /^(?:axisFormat\s[^#\n;]+)/i, /^(?:tickInterval\s[^#\n;]+)/i, /^(?:includes\s[^#\n;]+)/i, /^(?:excludes\s[^#\n;]+)/i, /^(?:todayMarker\s[^\n;]+)/i, /^(?:weekday\s+monday\b)/i, /^(?:weekday\s+tuesday\b)/i, /^(?:weekday\s+wednesday\b)/i, /^(?:weekday\s+thursday\b)/i, /^(?:weekday\s+friday\b)/i, /^(?:weekday\s+saturday\b)/i, /^(?:weekday\s+sunday\b)/i, /^(?:\d\d\d\d-\d\d-\d\d\b)/i, /^(?:title\s[^#\n;]+)/i, /^(?:accDescription\s[^#\n;]+)/i, /^(?:section\s[^#:\n;]+)/i, /^(?:[^#:\n;]+)/i, /^(?::[^#\n;]+)/i, /^(?::)/i, /^(?:$)/i, /^(?:.)/i], - conditions: { "acc_descr_multiline": { "rules": [6, 7], "inclusive": false }, "acc_descr": { "rules": [4], "inclusive": false }, "acc_title": { "rules": [2], "inclusive": false }, "callbackargs": { "rules": [22, 23], "inclusive": false }, "callbackname": { "rules": [19, 20, 21], "inclusive": false }, "href": { "rules": [16, 17], "inclusive": false }, "click": { "rules": [25, 26], "inclusive": false }, "INITIAL": { "rules": [0, 1, 3, 5, 8, 9, 10, 11, 12, 13, 14, 15, 18, 24, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51], "inclusive": true } } + rules: [/^(?:%%\{)/i, /^(?:accTitle\s*:\s*)/i, /^(?:(?!\n||)*[^\n]*)/i, /^(?:accDescr\s*:\s*)/i, /^(?:(?!\n||)*[^\n]*)/i, /^(?:accDescr\s*\{\s*)/i, /^(?:[\}])/i, /^(?:[^\}]*)/i, /^(?:%%(?!\{)*[^\n]*)/i, /^(?:[^\}]%%*[^\n]*)/i, /^(?:%%*[^\n]*[\n]*)/i, /^(?:[\n]+)/i, /^(?:\s+)/i, /^(?:%[^\n]*)/i, /^(?:href[\s]+["])/i, /^(?:["])/i, /^(?:[^"]*)/i, /^(?:call[\s]+)/i, /^(?:\([\s]*\))/i, /^(?:\()/i, /^(?:[^(]*)/i, /^(?:\))/i, /^(?:[^)]*)/i, /^(?:click[\s]+)/i, /^(?:[\s\n])/i, /^(?:[^\s\n]*)/i, /^(?:gantt\b)/i, /^(?:dateFormat\s[^#\n;]+)/i, /^(?:inclusiveEndDates\b)/i, /^(?:topAxis\b)/i, /^(?:axisFormat\s[^#\n;]+)/i, /^(?:tickInterval\s[^#\n;]+)/i, /^(?:includes\s[^#\n;]+)/i, /^(?:excludes\s[^#\n;]+)/i, /^(?:todayMarker\s[^\n;]+)/i, /^(?:weekday\s+monday\b)/i, /^(?:weekday\s+tuesday\b)/i, /^(?:weekday\s+wednesday\b)/i, /^(?:weekday\s+thursday\b)/i, /^(?:weekday\s+friday\b)/i, /^(?:weekday\s+saturday\b)/i, /^(?:weekday\s+sunday\b)/i, /^(?:\d\d\d\d-\d\d-\d\d\b)/i, /^(?:title\s[^\n]+)/i, /^(?:accDescription\s[^#\n;]+)/i, /^(?:section\s[^\n]+)/i, /^(?:[^:\n]+)/i, /^(?::[^#\n;]+)/i, /^(?::)/i, /^(?:$)/i, /^(?:.)/i], + conditions: { "acc_descr_multiline": { "rules": [6, 7], "inclusive": false }, "acc_descr": { "rules": [4], "inclusive": false }, "acc_title": { "rules": [2], "inclusive": false }, "callbackargs": { "rules": [21, 22], "inclusive": false }, "callbackname": { "rules": [18, 19, 20], "inclusive": false }, "href": { "rules": [15, 16], "inclusive": false }, "click": { "rules": [24, 25], "inclusive": false }, "INITIAL": { "rules": [0, 1, 3, 5, 8, 9, 10, 11, 12, 13, 14, 17, 23, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], "inclusive": true } } }; return lexer2; }(); @@ -806,7 +804,7 @@ const clear = function() { topAxis = false; lastOrder = 0; links = {}; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.t)(); weekday = "sunday"; }; const setAxisFormat = function(txt) { @@ -974,8 +972,8 @@ const getStartDate = function(prevTime, dateFormat2, str) { if (mDate.isValid()) { return mDate.toDate(); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.debug("Invalid date:" + str); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.debug("With date format:" + dateFormat2.trim()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.debug("Invalid date:" + str); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.debug("With date format:" + dateFormat2.trim()); const d = new Date(str); if (d === void 0 || isNaN(d.getTime()) || // WebKit browsers can mis-parse invalid dates to be ridiculously // huge numbers, e.g. new Date('202304') gets parsed as January 1, 202304. @@ -1205,8 +1203,8 @@ const compileTasks = function() { }; const setLink = function(ids, _linkStr) { let linkStr = _linkStr; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel !== "loose") { - linkStr = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .Nm)(_linkStr); + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel !== "loose") { + linkStr = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .oR)(_linkStr); } ids.split(",").forEach(function(id) { let rawTask = findTaskById(id); @@ -1228,7 +1226,7 @@ const setClass = function(ids, className) { }); }; const setClickFun = function(id, functionName, functionArgs) { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel !== "loose") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel !== "loose") { return; } if (functionName === void 0) { @@ -1251,7 +1249,7 @@ const setClickFun = function(id, functionName, functionArgs) { let rawTask = findTaskById(id); if (rawTask !== void 0) { pushFun(id, () => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.u.runFunc(functionName, ...argList); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.u.runFunc(functionName, ...argList); }); } }; @@ -1287,7 +1285,7 @@ const bindFunctions = function(element) { }); }; const ganttDb = { - getConfig: () => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().gantt, + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().gantt, clear, setDateFormat, getDateFormat, @@ -1301,14 +1299,14 @@ const ganttDb = { getTickInterval, setTodayMarker, getTodayMarker, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.g, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.r, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.g, + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.r, setDisplayMode, getDisplayMode, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.b, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.b, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.a, addSection, getSections, getTasks, @@ -1344,16 +1342,16 @@ function getTaskTags(data, task, tags2) { } } const setConf = function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.debug("Something is calling, setConf, remove the call"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.debug("Something is calling, setConf, remove the call"); }; const mapWeekdayToTimeFunction = { - monday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMonday */ .Ox9, - tuesday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeTuesday */ .YDX, - wednesday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeWednesday */ .EFj, - thursday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeThursday */ .Igq, - friday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeFriday */ .y2j, - saturday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeSaturday */ .LqH, - sunday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeSunday */ .Zyz + monday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMonday */ .MHk, + tuesday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeTuesday */ .mU8, + wednesday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeWednesday */ .I5u, + thursday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeThursday */ .eC, + friday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeFriday */ .kjj, + saturday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeSaturday */ .cLV, + sunday: d3__WEBPACK_IMPORTED_MODULE_5__/* .timeSunday */ .LEI }; const getMaxIntersections = (tasks2, orderOffset) => { let timeline = [...tasks2].map(() => -Infinity); @@ -1375,13 +1373,13 @@ const getMaxIntersections = (tasks2, orderOffset) => { }; let w; const draw = function(text, id, version, diagObj) { - const conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().gantt; - const securityLevel = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel; + const conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().gantt; + const securityLevel = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .select */ .MlD)("body"); const doc = securityLevel === "sandbox" ? sandboxElement.nodes()[0].contentDocument : document; const elem = doc.getElementById(id); w = elem.parentElement.offsetWidth; @@ -1423,11 +1421,11 @@ const draw = function(text, id, version, diagObj) { } elem.setAttribute("viewBox", "0 0 " + w + " " + h); const svg = root.select(`[id="${id}"]`); - const timeScale = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .scaleTime */ .Xf)().domain([ - (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .min */ .VV$)(taskArray, function(d) { + const timeScale = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .scaleTime */ .sle)().domain([ + (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .min */ .SYq)(taskArray, function(d) { return d.startTime; }), - (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .max */ .Fp7)(taskArray, function(d) { + (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .max */ .kvL)(taskArray, function(d) { return d.endTime; }) ]).rangeRound([0, w - conf.leftPadding - conf.rightPadding]); @@ -1444,14 +1442,14 @@ const draw = function(text, id, version, diagObj) { } taskArray.sort(taskCompare); makeGant(taskArray, w, h); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.i)(svg, h, w, conf.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.i)(svg, h, w, conf.useMaxWidth); svg.append("text").text(diagObj.db.getDiagramTitle()).attr("x", w / 2).attr("y", conf.titleTopMargin).attr("class", "titleText"); function makeGant(tasks2, pageWidth, pageHeight) { const barHeight = conf.barHeight; const gap = barHeight + conf.barGap; const topPadding = conf.topPadding; const leftPadding = conf.leftPadding; - const colorScale = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .scaleLinear */ .BYU)().domain([0, categories.length]).range(["#00B9FA", "#F95002"]).interpolate(d3__WEBPACK_IMPORTED_MODULE_5__/* .interpolateHcl */ .JHv); + const colorScale = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .scaleLinear */ .M89)().domain([0, categories.length]).range(["#00B9FA", "#F95002"]).interpolate(d3__WEBPACK_IMPORTED_MODULE_5__/* .interpolateHcl */ .mqd); drawExcludeDays( gap, topPadding, @@ -1618,10 +1616,10 @@ const draw = function(text, id, version, diagObj) { return classStr + " taskText taskText" + secNum + " " + taskType + " width-" + textWidth; } }); - const securityLevel2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel; + const securityLevel2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel; if (securityLevel2 === "sandbox") { let sandboxElement2; - sandboxElement2 = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .select */ .Ys)("#i" + id); + sandboxElement2 = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .select */ .MlD)("#i" + id); const doc2 = sandboxElement2.nodes()[0].contentDocument; rectangles.filter(function(d) { return links2[d.id] !== void 0; @@ -1656,7 +1654,7 @@ const draw = function(text, id, version, diagObj) { return; } if (dayjs__WEBPACK_IMPORTED_MODULE_1__(maxTime).diff(dayjs__WEBPACK_IMPORTED_MODULE_1__(minTime), "year") > 5) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.warn( "The difference between the min and max time is more than 5 years. This will cause performance issues. Skipping drawing exclude days." ); return; @@ -1696,7 +1694,7 @@ const draw = function(text, id, version, diagObj) { }).attr("class", "exclude-range"); } function makeGrid(theSidePad, theTopPad, w2, h2) { - let bottomXAxis = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .axisBottom */ .LLu)(timeScale).tickSize(-h2 + theTopPad + conf.gridLineStartPadding).tickFormat((0,d3__WEBPACK_IMPORTED_MODULE_5__/* .timeFormat */ .i$Z)(diagObj.db.getAxisFormat() || conf.axisFormat || "%Y-%m-%d")); + let bottomXAxis = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .axisBottom */ .s5Y)(timeScale).tickSize(-h2 + theTopPad + conf.gridLineStartPadding).tickFormat((0,d3__WEBPACK_IMPORTED_MODULE_5__/* .timeFormat */ .Yn0)(diagObj.db.getAxisFormat() || conf.axisFormat || "%Y-%m-%d")); const reTickInterval = /^([1-9]\d*)(millisecond|second|minute|hour|day|week|month)$/; const resultTickInterval = reTickInterval.exec( diagObj.db.getTickInterval() || conf.tickInterval @@ -1707,56 +1705,56 @@ const draw = function(text, id, version, diagObj) { const weekday2 = diagObj.db.getWeekday() || conf.weekday; switch (interval) { case "millisecond": - bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMillisecond */ .U8T.every(every)); + bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMillisecond */ .SgN.every(every)); break; case "second": - bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeSecond */ .S1K.every(every)); + bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeSecond */ .qI6.every(every)); break; case "minute": - bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMinute */ .Z_i.every(every)); + bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMinute */ .i_y.every(every)); break; case "hour": - bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeHour */ .WQD.every(every)); + bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeHour */ .Weq.every(every)); break; case "day": - bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeDay */ .rr1.every(every)); + bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeDay */ .oLF.every(every)); break; case "week": bottomXAxis.ticks(mapWeekdayToTimeFunction[weekday2].every(every)); break; case "month": - bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMonth */ .F0B.every(every)); + bottomXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMonth */ .IBc.every(every)); break; } } svg.append("g").attr("class", "grid").attr("transform", "translate(" + theSidePad + ", " + (h2 - 50) + ")").call(bottomXAxis).selectAll("text").style("text-anchor", "middle").attr("fill", "#000").attr("stroke", "none").attr("font-size", 10).attr("dy", "1em"); if (diagObj.db.topAxisEnabled() || conf.topAxis) { - let topXAxis = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .axisTop */ .F5q)(timeScale).tickSize(-h2 + theTopPad + conf.gridLineStartPadding).tickFormat((0,d3__WEBPACK_IMPORTED_MODULE_5__/* .timeFormat */ .i$Z)(diagObj.db.getAxisFormat() || conf.axisFormat || "%Y-%m-%d")); + let topXAxis = (0,d3__WEBPACK_IMPORTED_MODULE_5__/* .axisTop */ .kP7)(timeScale).tickSize(-h2 + theTopPad + conf.gridLineStartPadding).tickFormat((0,d3__WEBPACK_IMPORTED_MODULE_5__/* .timeFormat */ .Yn0)(diagObj.db.getAxisFormat() || conf.axisFormat || "%Y-%m-%d")); if (resultTickInterval !== null) { const every = resultTickInterval[1]; const interval = resultTickInterval[2]; const weekday2 = diagObj.db.getWeekday() || conf.weekday; switch (interval) { case "millisecond": - topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMillisecond */ .U8T.every(every)); + topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMillisecond */ .SgN.every(every)); break; case "second": - topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeSecond */ .S1K.every(every)); + topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeSecond */ .qI6.every(every)); break; case "minute": - topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMinute */ .Z_i.every(every)); + topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMinute */ .i_y.every(every)); break; case "hour": - topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeHour */ .WQD.every(every)); + topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeHour */ .Weq.every(every)); break; case "day": - topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeDay */ .rr1.every(every)); + topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeDay */ .oLF.every(every)); break; case "week": topXAxis.ticks(mapWeekdayToTimeFunction[weekday2].every(every)); break; case "month": - topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMonth */ .F0B.every(every)); + topXAxis.ticks(d3__WEBPACK_IMPORTED_MODULE_5__/* .timeMonth */ .IBc.every(every)); break; } } @@ -1767,7 +1765,7 @@ const draw = function(text, id, version, diagObj) { let prevGap = 0; const numOccurances = Object.keys(categoryHeights).map((d) => [d, categoryHeights[d]]); svg.append("g").selectAll("text").data(numOccurances).enter().append(function(d) { - const rows = 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strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[110],{70711:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/hello","page":1,"postsPerPage":2,"totalPages":1,"totalCount":2,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file diff --git a/assets/js/308.9b710e42.js b/assets/js/668.89ed0665.js similarity index 90% rename from assets/js/308.9b710e42.js rename to assets/js/668.89ed0665.js index 137e05da3..0fdf76348 100644 --- a/assets/js/308.9b710e42.js +++ b/assets/js/668.89ed0665.js @@ -1,15 +1,15 @@ "use strict"; -exports.id = 308; -exports.ids = [308]; +exports.id = 668; +exports.ids = [668]; exports.modules = { -/***/ 43349: +/***/ 53128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ a: () => (/* binding */ addHtmlLabel) +/* harmony export */ m: () => (/* binding */ addHtmlLabel) /* harmony export */ }); -/* harmony import */ var _util_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(96225); +/* harmony import */ var _util_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(14620); @@ -35,7 +35,7 @@ function addHtmlLabel(root, node) { div.html(label); } - _util_js__WEBPACK_IMPORTED_MODULE_0__/* .applyStyle */ .bg(div, node.labelStyle); + _util_js__WEBPACK_IMPORTED_MODULE_0__/* .applyStyle */ .Ce(div, node.labelStyle); div.style('display', 'inline-block'); // Fix for firefox div.style('white-space', 'nowrap'); @@ -49,18 +49,18 @@ function addHtmlLabel(root, node) { /***/ }), -/***/ 96225: +/***/ 14620: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ $p: () => (/* binding */ applyClass), -/* harmony export */ O1: () => (/* binding */ edgeToId), -/* harmony export */ WR: () => (/* binding */ applyTransition), -/* harmony export */ bF: () => (/* binding */ isSubgraph), -/* harmony export */ bg: () => (/* binding */ applyStyle) +/* harmony export */ Ce: () => (/* binding */ applyStyle), +/* harmony export */ S_: () => (/* binding */ applyClass), +/* harmony export */ cv: () => (/* binding */ isSubgraph), +/* harmony export */ q2: () => (/* binding */ applyTransition), +/* harmony export */ q_: () => (/* binding */ edgeToId) /* harmony export */ }); -/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37514); -/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(73234); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(86012); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(59680); // Public utility functions @@ -98,9 +98,9 @@ function applyClass(dom, classFn, otherClasses) { function applyTransition(selection, g) { var graph = g.graph(); - if (lodash_es__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z(graph)) { + if (lodash_es__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c(graph)) { var transition = graph.transition; - if (lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z(transition)) { + if (lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(transition)) { return transition(selection); } } @@ -111,33 +111,33 @@ function applyTransition(selection, g) { /***/ }), -/***/ 41644: +/***/ 32304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - bK: () => (/* reexport */ layout) + cn: () => (/* reexport */ layout) }); // UNUSED EXPORTS: acyclic, normalize, rank // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/uniqueId.js -var uniqueId = __webpack_require__(66749); +var uniqueId = __webpack_require__(41696); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); +var map = __webpack_require__(92696); // EXTERNAL MODULE: ./node_modules/lodash-es/range.js + 2 modules -var range = __webpack_require__(74379); +var range = __webpack_require__(52264); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); +var graphlib = __webpack_require__(95536); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/data/list.js /* * Simple doubly linked list implementation derived from Cormen, et al., @@ -209,7 +209,7 @@ function filterOutLinks(k, v) { */ -var DEFAULT_WEIGHT_FN = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FN = constant/* default */.c(1); function greedyFAS(g, weightFn) { if (g.nodeCount() <= 1) { @@ -219,8 +219,8 @@ function greedyFAS(g, weightFn) { var results = doGreedyFAS(state.graph, state.buckets, state.zeroIdx); // Expand multi-edges - return flatten/* default */.Z( - map/* default */.Z(results, function (e) { + return flatten/* default */.c( + map/* default */.c(results, function (e) { return g.outEdges(e.v, e.w); }) ); @@ -256,7 +256,7 @@ function doGreedyFAS(g, buckets, zeroIdx) { function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { var results = collectPredecessors ? [] : undefined; - forEach/* default */.Z(g.inEdges(entry.v), function (edge) { + forEach/* default */.c(g.inEdges(entry.v), function (edge) { var weight = g.edge(edge); var uEntry = g.node(edge.v); @@ -268,7 +268,7 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { assignBucket(buckets, zeroIdx, uEntry); }); - forEach/* default */.Z(g.outEdges(entry.v), function (edge) { + forEach/* default */.c(g.outEdges(entry.v), function (edge) { var weight = g.edge(edge); var w = edge.w; var wEntry = g.node(w); @@ -282,17 +282,17 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { } function buildState(g, weightFn) { - var fasGraph = new graphlib/* Graph */.k(); + var fasGraph = new graphlib/* Graph */.M(); var maxIn = 0; var maxOut = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { fasGraph.setNode(v, { v: v, in: 0, out: 0 }); }); // Aggregate weights on nodes, but also sum the weights across multi-edges // into a single edge for the fasGraph. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var prevWeight = fasGraph.edge(e.v, e.w) || 0; var weight = weightFn(e); var edgeWeight = prevWeight + weight; @@ -301,12 +301,12 @@ function buildState(g, weightFn) { maxIn = Math.max(maxIn, (fasGraph.node(e.w)['in'] += weight)); }); - var buckets = range/* default */.Z(maxOut + maxIn + 3).map(function () { + var buckets = range/* default */.c(maxOut + maxIn + 3).map(function () { return new List(); }); var zeroIdx = maxIn + 1; - forEach/* default */.Z(fasGraph.nodes(), function (v) { + forEach/* default */.c(fasGraph.nodes(), function (v) { assignBucket(buckets, zeroIdx, fasGraph.node(v)); }); @@ -331,12 +331,12 @@ function assignBucket(buckets, zeroIdx, entry) { function run(g) { var fas = g.graph().acyclicer === 'greedy' ? greedyFAS(g, weightFn(g)) : dfsFAS(g); - forEach/* default */.Z(fas, function (e) { + forEach/* default */.c(fas, function (e) { var label = g.edge(e); g.removeEdge(e); label.forwardName = e.name; label.reversed = true; - g.setEdge(e.w, e.v, label, uniqueId/* default */.Z('rev')); + g.setEdge(e.w, e.v, label, uniqueId/* default */.c('rev')); }); function weightFn(g) { @@ -352,13 +352,13 @@ function dfsFAS(g) { var visited = {}; function dfs(v) { - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return; } visited[v] = true; stack[v] = true; - forEach/* default */.Z(g.outEdges(v), function (e) { - if (has/* default */.Z(stack, e.w)) { + forEach/* default */.c(g.outEdges(v), function (e) { + if (has/* default */.c(stack, e.w)) { fas.push(e); } else { dfs(e.w); @@ -367,12 +367,12 @@ function dfsFAS(g) { delete stack[v]; } - forEach/* default */.Z(g.nodes(), dfs); + forEach/* default */.c(g.nodes(), dfs); return fas; } function undo(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var label = g.edge(e); if (label.reversed) { g.removeEdge(e); @@ -386,13 +386,13 @@ function undo(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/merge.js + 6 modules -var merge = __webpack_require__(59236); +var merge = __webpack_require__(89064); // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseExtremum.js @@ -415,7 +415,7 @@ function baseExtremum(array, iteratee, comparator) { current = iteratee(value); if (current != null && (computed === undefined - ? (current === current && !(0,isSymbol/* default */.Z)(current)) + ? (current === current && !(0,isSymbol/* default */.c)(current)) : comparator(current, computed) )) { var computed = current, @@ -444,7 +444,7 @@ function baseGt(value, other) { /* harmony default export */ const _baseGt = (baseGt); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/max.js @@ -470,7 +470,7 @@ var identity = __webpack_require__(69203); */ function max(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseGt) + ? _baseExtremum(array, identity/* default */.c, _baseGt) : undefined; } @@ -499,11 +499,11 @@ function last(array) { /* harmony default export */ const lodash_es_last = (last); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseAssignValue.js -var _baseAssignValue = __webpack_require__(74752); +var _baseAssignValue = __webpack_require__(78848); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/mapValues.js @@ -539,10 +539,10 @@ var _baseIteratee = __webpack_require__(74765); */ function mapValues(object, iteratee) { var result = {}; - iteratee = (0,_baseIteratee/* default */.Z)(iteratee, 3); + iteratee = (0,_baseIteratee/* default */.c)(iteratee, 3); - (0,_baseForOwn/* default */.Z)(object, function(value, key, object) { - (0,_baseAssignValue/* default */.Z)(result, key, iteratee(value, key, object)); + (0,_baseForOwn/* default */.c)(object, function(value, key, object) { + (0,_baseAssignValue/* default */.c)(result, key, iteratee(value, key, object)); }); return result; } @@ -550,7 +550,7 @@ function mapValues(object, iteratee) { /* harmony default export */ const lodash_es_mapValues = (mapValues); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseLt.js /** * The base implementation of `_.lt` which doesn't coerce arguments. @@ -592,14 +592,14 @@ function baseLt(value, other) { */ function min(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseLt) + ? _baseExtremum(array, identity/* default */.c, _baseLt) : undefined; } /* harmony default export */ const lodash_es_min = (min); // EXTERNAL MODULE: ./node_modules/lodash-es/_root.js -var _root = __webpack_require__(66092); +var _root = __webpack_require__(43936); ;// CONCATENATED MODULE: ./node_modules/lodash-es/now.js @@ -620,7 +620,7 @@ var _root = __webpack_require__(66092); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { - return _root/* default */.Z.Date.now(); + return _root/* default */.c.Date.now(); }; /* harmony default export */ const lodash_es_now = (now); @@ -637,7 +637,7 @@ var now = function() { function addDummyNode(g, type, attrs, name) { var v; do { - v = uniqueId/* default */.Z(name); + v = uniqueId/* default */.c(name); } while (g.hasNode(v)); attrs.dummy = type; @@ -650,11 +650,11 @@ function addDummyNode(g, type, attrs, name) { * associated with multi-edges. */ function simplify(g) { - var simplified = new graphlib/* Graph */.k().setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M().setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { simplified.setNode(v, g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var simpleLabel = simplified.edge(e.v, e.w) || { weight: 0, minlen: 1 }; var label = g.edge(e); simplified.setEdge(e.v, e.w, { @@ -666,13 +666,13 @@ function simplify(g) { } function asNonCompoundGraph(g) { - var simplified = new graphlib/* Graph */.k({ multigraph: g.isMultigraph() }).setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M({ multigraph: g.isMultigraph() }).setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { if (!g.children(v).length) { simplified.setNode(v, g.node(v)); } }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { simplified.setEdge(e, g.edge(e)); }); return simplified; @@ -744,13 +744,13 @@ function intersectRect(rect, point) { * function will produce a matrix with the ids of each node. */ function buildLayerMatrix(g) { - var layering = map/* default */.Z(range/* default */.Z(util_maxRank(g) + 1), function () { + var layering = map/* default */.c(range/* default */.c(util_maxRank(g) + 1), function () { return []; }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); var rank = node.rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { layering[rank][node.order] = v; } }); @@ -763,13 +763,13 @@ function buildLayerMatrix(g) { */ function normalizeRanks(g) { var min = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); - if (has/* default */.Z(node, 'rank')) { + if (has/* default */.c(node, 'rank')) { node.rank -= min; } }); @@ -778,13 +778,13 @@ function normalizeRanks(g) { function removeEmptyRanks(g) { // Ranks may not start at 0, so we need to offset them var offset = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); var layers = []; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank - offset; if (!layers[rank]) { layers[rank] = []; @@ -794,11 +794,11 @@ function removeEmptyRanks(g) { var delta = 0; var nodeRankFactor = g.graph().nodeRankFactor; - forEach/* default */.Z(layers, function (vs, i) { - if (isUndefined/* default */.Z(vs) && i % nodeRankFactor !== 0) { + forEach/* default */.c(layers, function (vs, i) { + if (isUndefined/* default */.c(vs) && i % nodeRankFactor !== 0) { --delta; } else if (delta) { - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { g.node(v).rank += delta; }); } @@ -819,9 +819,9 @@ function addBorderNode(g, prefix, rank, order) { function util_maxRank(g) { return lodash_es_max( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { return rank; } }) @@ -835,7 +835,7 @@ function util_maxRank(g) { */ function partition(collection, fn) { var result = { lhs: [], rhs: [] }; - forEach/* default */.Z(collection, function (value) { + forEach/* default */.c(collection, function (value) { if (fn(value)) { result.lhs.push(value); } else { @@ -873,10 +873,10 @@ function addBorderSegments(g) { var children = g.children(v); var node = g.node(v); if (children.length) { - forEach/* default */.Z(children, dfs); + forEach/* default */.c(children, dfs); } - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { node.borderLeft = []; node.borderRight = []; for (var rank = node.minRank, maxRank = node.maxRank + 1; rank < maxRank; ++rank) { @@ -886,7 +886,7 @@ function addBorderSegments(g) { } } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); } function add_border_segments_addBorderNode(g, prop, prefix, sg, sgNode, rank) { @@ -925,10 +925,10 @@ function coordinate_system_undo(g) { } function swapWidthHeight(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapWidthHeightOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { swapWidthHeightOne(g.edge(e)); }); } @@ -940,14 +940,14 @@ function swapWidthHeightOne(attrs) { } function reverseY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { reverseYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, reverseYOne); - if (has/* default */.Z(edge, 'y')) { + forEach/* default */.c(edge.points, reverseYOne); + if (has/* default */.c(edge, 'y')) { reverseYOne(edge); } }); @@ -958,14 +958,14 @@ function reverseYOne(attrs) { } function swapXY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapXYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, swapXYOne); - if (has/* default */.Z(edge, 'x')) { + forEach/* default */.c(edge.points, swapXYOne); + if (has/* default */.c(edge, 'x')) { swapXYOne(edge); } }); @@ -1001,7 +1001,7 @@ function swapXYOne(attrs) { */ function normalize_run(g) { g.graph().dummyChains = []; - forEach/* default */.Z(g.edges(), function (edge) { + forEach/* default */.c(g.edges(), function (edge) { normalizeEdge(g, edge); }); } @@ -1049,7 +1049,7 @@ function normalizeEdge(g, e) { } function normalize_undo(g) { - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var origLabel = node.edgeLabel; var w; @@ -1100,7 +1100,7 @@ function normalize_undo(g) { */ function minBy(array, iteratee) { return (array && array.length) - ? _baseExtremum(array, (0,_baseIteratee/* default */.Z)(iteratee, 2), _baseLt) + ? _baseExtremum(array, (0,_baseIteratee/* default */.c)(iteratee, 2), _baseLt) : undefined; } @@ -1137,13 +1137,13 @@ function longestPath(g) { function dfs(v) { var label = g.node(v); - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return label.rank; } visited[v] = true; var rank = lodash_es_min( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return dfs(e.w) - g.edge(e).minlen; }) ); @@ -1160,7 +1160,7 @@ function longestPath(g) { return (label.rank = rank); } - forEach/* default */.Z(g.sources(), dfs); + forEach/* default */.c(g.sources(), dfs); } /* @@ -1204,7 +1204,7 @@ function slack(g, e) { * edges. */ function feasibleTree(g) { - var t = new graphlib/* Graph */.k({ directed: false }); + var t = new graphlib/* Graph */.M({ directed: false }); // Choose arbitrary node from which to start our tree var start = g.nodes()[0]; @@ -1227,7 +1227,7 @@ function feasibleTree(g) { */ function tightTree(t, g) { function dfs(v) { - forEach/* default */.Z(g.nodeEdges(v), function (e) { + forEach/* default */.c(g.nodeEdges(v), function (e) { var edgeV = e.v, w = v === edgeV ? e.w : edgeV; if (!t.hasNode(w) && !slack(g, e)) { @@ -1238,7 +1238,7 @@ function tightTree(t, g) { }); } - forEach/* default */.Z(t.nodes(), dfs); + forEach/* default */.c(t.nodes(), dfs); return t.nodeCount(); } @@ -1255,15 +1255,15 @@ function findMinSlackEdge(t, g) { } function shiftRanks(t, g, delta) { - forEach/* default */.Z(t.nodes(), function (v) { + forEach/* default */.c(t.nodes(), function (v) { g.node(v).rank += delta; }); } // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createFind.js @@ -1279,9 +1279,9 @@ var keys = __webpack_require__(17179); function createFind(findIndexFunc) { return function(collection, predicate, fromIndex) { var iterable = Object(collection); - if (!(0,isArrayLike/* default */.Z)(collection)) { - var iteratee = (0,_baseIteratee/* default */.Z)(predicate, 3); - collection = (0,keys/* default */.Z)(collection); + if (!(0,isArrayLike/* default */.c)(collection)) { + var iteratee = (0,_baseIteratee/* default */.c)(predicate, 3); + collection = (0,keys/* default */.c)(collection); predicate = function(key) { return iteratee(iterable[key], key, iterable); }; } var index = findIndexFunc(collection, predicate, fromIndex); @@ -1292,9 +1292,9 @@ function createFind(findIndexFunc) { /* harmony default export */ const _createFind = (createFind); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toInteger.js @@ -1325,7 +1325,7 @@ var toFinite = __webpack_require__(94099); * // => 3 */ function toInteger(value) { - var result = (0,toFinite/* default */.Z)(value), + var result = (0,toFinite/* default */.c)(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; @@ -1385,7 +1385,7 @@ function findIndex(array, predicate, fromIndex) { if (index < 0) { index = nativeMax(length + index, 0); } - return (0,_baseFindIndex/* default */.Z)(array, (0,_baseIteratee/* default */.Z)(predicate, 3), index); + return (0,_baseFindIndex/* default */.c)(array, (0,_baseIteratee/* default */.c)(predicate, 3), index); } /* harmony default export */ const lodash_es_findIndex = (findIndex); @@ -1435,14 +1435,14 @@ var find = _createFind(lodash_es_findIndex); /* harmony default export */ const lodash_es_find = (find); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/dijkstra.js -var DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function dijkstra_dijkstra(g, source, weightFn, edgeFn) { return runDijkstra( @@ -1524,7 +1524,7 @@ function dijkstraAll(g, weightFunc, edgeFunc) { -var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function floydWarshall(g, weightFn, edgeFn) { return runFloydWarshall( @@ -1577,15 +1577,15 @@ function runFloydWarshall(g, weightFn, edgeFn) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseKeys.js + 1 modules -var _baseKeys = __webpack_require__(39473); +var _baseKeys = __webpack_require__(61376); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetTag.js + 2 modules -var _baseGetTag = __webpack_require__(93589); +var _baseGetTag = __webpack_require__(67724); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isString.js @@ -1613,13 +1613,13 @@ var stringTag = '[object String]'; */ function isString(value) { return typeof value == 'string' || - (!(0,isArray/* default */.Z)(value) && (0,isObjectLike/* default */.Z)(value) && (0,_baseGetTag/* default */.Z)(value) == stringTag); + (!(0,isArray/* default */.c)(value) && (0,isObjectLike/* default */.c)(value) && (0,_baseGetTag/* default */.c)(value) == stringTag); } /* harmony default export */ const lodash_es_isString = (isString); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_asciiSize.js @@ -1630,7 +1630,7 @@ var _baseProperty = __webpack_require__(54193); * @param {string} string The string inspect. * @returns {number} Returns the string size. */ -var asciiSize = (0,_baseProperty/* default */.Z)('length'); +var asciiSize = (0,_baseProperty/* default */.c)('length'); /* harmony default export */ const _asciiSize = (asciiSize); @@ -1764,14 +1764,14 @@ function size(collection) { if (collection == null) { return 0; } - if ((0,isArrayLike/* default */.Z)(collection)) { + if ((0,isArrayLike/* default */.c)(collection)) { return lodash_es_isString(collection) ? _stringSize(collection) : collection.length; } - var tag = (0,_getTag/* default */.Z)(collection); + var tag = (0,_getTag/* default */.c)(collection); if (tag == mapTag || tag == setTag) { return collection.size; } - return (0,_baseKeys/* default */.Z)(collection).length; + return (0,_baseKeys/* default */.c)(collection).length; } /* harmony default export */ const lodash_es_size = (size); @@ -1789,20 +1789,20 @@ function topsort_topsort(g) { var results = []; function visit(node) { - if (has/* default */.Z(stack, node)) { + if (has/* default */.c(stack, node)) { throw new topsort_CycleException(); } - if (!has/* default */.Z(visited, node)) { + if (!has/* default */.c(visited, node)) { stack[node] = true; visited[node] = true; - forEach/* default */.Z(g.predecessors(node), visit); + forEach/* default */.c(g.predecessors(node), visit); delete stack[node]; results.push(node); } } - forEach/* default */.Z(g.sinks(), visit); + forEach/* default */.c(g.sinks(), visit); if (lodash_es_size(visited) !== g.nodeCount()) { throw new topsort_CycleException(); @@ -1845,7 +1845,7 @@ function isAcyclic(g) { * Order must be one of "pre" or "post". */ function dfs(g, vs, order) { - if (!isArray/* default */.Z(vs)) { + if (!isArray/* default */.c(vs)) { vs = [vs]; } @@ -1853,7 +1853,7 @@ function dfs(g, vs, order) { var acc = []; var visited = {}; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (!g.hasNode(v)) { throw new Error('Graph does not have node: ' + v); } @@ -1864,13 +1864,13 @@ function dfs(g, vs, order) { } function doDfs(g, v, postorder, visited, navigation, acc) { - if (!has/* default */.Z(visited, v)) { + if (!has/* default */.c(visited, v)) { visited[v] = true; if (!postorder) { acc.push(v); } - forEach/* default */.Z(navigation(v), function (w) { + forEach/* default */.c(navigation(v), function (w) { doDfs(g, w, postorder, visited, navigation, acc); }); if (postorder) { @@ -1898,7 +1898,7 @@ function preorder(g, vs) { } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); +var graph = __webpack_require__(58048); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/prim.js @@ -2038,7 +2038,7 @@ function networkSimplex(g) { function initCutValues(t, g) { var vs = postorder(t, t.nodes()); vs = vs.slice(0, vs.length - 1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { assignCutValue(t, g, v); }); } @@ -2070,7 +2070,7 @@ function calcCutValue(t, g, child) { cutValue = graphEdge.weight; - forEach/* default */.Z(g.nodeEdges(child), function (e) { + forEach/* default */.c(g.nodeEdges(child), function (e) { var isOutEdge = e.v === child, other = isOutEdge ? e.w : e.v; @@ -2101,8 +2101,8 @@ function dfsAssignLowLim(tree, visited, nextLim, v, parent) { var label = tree.node(v); visited[v] = true; - forEach/* default */.Z(tree.neighbors(v), function (w) { - if (!has/* default */.Z(visited, w)) { + forEach/* default */.c(tree.neighbors(v), function (w) { + if (!has/* default */.c(visited, w)) { nextLim = dfsAssignLowLim(tree, visited, nextLim, w, v); } }); @@ -2149,7 +2149,7 @@ function enterEdge(t, g, edge) { flip = true; } - var candidates = filter/* default */.Z(g.edges(), function (edge) { + var candidates = filter/* default */.c(g.edges(), function (edge) { return ( flip === isDescendant(t, t.node(edge.v), tailLabel) && flip !== isDescendant(t, t.node(edge.w), tailLabel) @@ -2177,7 +2177,7 @@ function updateRanks(t, g) { }); var vs = preorder(t, root); vs = vs.slice(1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var parent = t.node(v).parent, edge = g.edge(v, parent), flipped = false; @@ -2261,9 +2261,9 @@ function networkSimplexRanker(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/nesting-graph.js @@ -2296,13 +2296,13 @@ var reduce = __webpack_require__(92344); function nesting_graph_run(g) { var root = addDummyNode(g, 'root', {}, '_root'); var depths = treeDepths(g); - var height = lodash_es_max(values/* default */.Z(depths)) - 1; // Note: depths is an Object not an array + var height = lodash_es_max(values/* default */.c(depths)) - 1; // Note: depths is an Object not an array var nodeSep = 2 * height + 1; g.graph().nestingRoot = root; // Multiply minlen by nodeSep to align nodes on non-border ranks. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { g.edge(e).minlen *= nodeSep; }); @@ -2310,7 +2310,7 @@ function nesting_graph_run(g) { var weight = sumWeights(g) + 1; // Create border nodes and link them up - forEach/* default */.Z(g.children(), function (child) { + forEach/* default */.c(g.children(), function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); }); @@ -2337,7 +2337,7 @@ function nesting_graph_dfs(g, root, nodeSep, weight, height, depths, v) { g.setParent(bottom, v); label.borderBottom = bottom; - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); var childNode = g.node(child); @@ -2369,20 +2369,20 @@ function treeDepths(g) { function dfs(v, depth) { var children = g.children(v); if (children && children.length) { - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { dfs(child, depth + 1); }); } depths[v] = depth; } - forEach/* default */.Z(g.children(), function (v) { + forEach/* default */.c(g.children(), function (v) { dfs(v, 1); }); return depths; } function sumWeights(g) { - return reduce/* default */.Z( + return reduce/* default */.c( g.edges(), function (acc, e) { return acc + g.edge(e).weight; @@ -2395,7 +2395,7 @@ function cleanup(g) { var graphLabel = g.graph(); g.removeNode(graphLabel.nestingRoot); delete graphLabel.nestingRoot; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.nestingEdge) { g.removeEdge(e); @@ -2404,7 +2404,7 @@ function cleanup(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); +var _baseClone = __webpack_require__(48492); ;// CONCATENATED MODULE: ./node_modules/lodash-es/cloneDeep.js @@ -2431,7 +2431,7 @@ var CLONE_DEEP_FLAG = 1, * // => false */ function cloneDeep(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); + return (0,_baseClone/* default */.c)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); } /* harmony default export */ const lodash_es_cloneDeep = (cloneDeep); @@ -2445,7 +2445,7 @@ function addSubgraphConstraints(g, cg, vs) { var prev = {}, rootPrev; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var child = g.parent(v), parent, prevChild; @@ -2529,13 +2529,13 @@ function addSubgraphConstraints(g, cg, vs) { */ function buildLayerGraph(g, rank, relationship) { var root = createRootNode(g), - result = new graphlib/* Graph */.k({ compound: true }) + result = new graphlib/* Graph */.M({ compound: true }) .setGraph({ root: root }) .setDefaultNodeLabel(function (v) { return g.node(v); }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v), parent = g.parent(v); @@ -2544,14 +2544,14 @@ function buildLayerGraph(g, rank, relationship) { result.setParent(v, parent || root); // This assumes we have only short edges! - forEach/* default */.Z(g[relationship](v), function (e) { + forEach/* default */.c(g[relationship](v), function (e) { var u = e.v === v ? e.w : e.v, edge = result.edge(u, v), - weight = !isUndefined/* default */.Z(edge) ? edge.weight : 0; + weight = !isUndefined/* default */.c(edge) ? edge.weight : 0; result.setEdge(u, v, { weight: g.edge(e).weight + weight }); }); - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { result.setNode(v, { borderLeft: node.borderLeft[rank], borderRight: node.borderRight[rank], @@ -2565,12 +2565,12 @@ function buildLayerGraph(g, rank, relationship) { function createRootNode(g) { var v; - while (g.hasNode((v = uniqueId/* default */.Z('_root')))); + while (g.hasNode((v = uniqueId/* default */.c('_root')))); return v; } // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseZipObject.js /** * This base implementation of `_.zipObject` which assigns values using `assignFunc`. @@ -2617,19 +2617,19 @@ function baseZipObject(props, values, assignFunc) { * // => { 'a': 1, 'b': 2 } */ function zipObject(props, values) { - return _baseZipObject(props || [], values || [], _assignValue/* default */.Z); + return _baseZipObject(props || [], values || [], _assignValue/* default */.c); } /* harmony default export */ const lodash_es_zipObject = (zipObject); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseMap.js -var _baseMap = __webpack_require__(21018); +var _baseMap = __webpack_require__(90360); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSortBy.js /** * The base implementation of `_.sortBy` which uses `comparer` to define the @@ -2654,7 +2654,7 @@ function baseSortBy(array, comparer) { /* harmony default export */ const _baseSortBy = (baseSortBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_compareAscending.js @@ -2671,12 +2671,12 @@ function compareAscending(value, other) { var valIsDefined = value !== undefined, valIsNull = value === null, valIsReflexive = value === value, - valIsSymbol = (0,isSymbol/* default */.Z)(value); + valIsSymbol = (0,isSymbol/* default */.c)(value); var othIsDefined = other !== undefined, othIsNull = other === null, othIsReflexive = other === other, - othIsSymbol = (0,isSymbol/* default */.Z)(other); + othIsSymbol = (0,isSymbol/* default */.c)(other); if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) || (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) || @@ -2766,23 +2766,23 @@ function compareMultiple(object, other, orders) { */ function baseOrderBy(collection, iteratees, orders) { if (iteratees.length) { - iteratees = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { - if ((0,isArray/* default */.Z)(iteratee)) { + iteratees = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { + if ((0,isArray/* default */.c)(iteratee)) { return function(value) { - return (0,_baseGet/* default */.Z)(value, iteratee.length === 1 ? iteratee[0] : iteratee); + return (0,_baseGet/* default */.c)(value, iteratee.length === 1 ? iteratee[0] : iteratee); } } return iteratee; }); } else { - iteratees = [identity/* default */.Z]; + iteratees = [identity/* default */.c]; } var index = -1; - iteratees = (0,_arrayMap/* default */.Z)(iteratees, (0,_baseUnary/* default */.Z)(_baseIteratee/* default */.Z)); + iteratees = (0,_arrayMap/* default */.c)(iteratees, (0,_baseUnary/* default */.c)(_baseIteratee/* default */.c)); - var result = (0,_baseMap/* default */.Z)(collection, function(value, key, collection) { - var criteria = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { + var result = (0,_baseMap/* default */.c)(collection, function(value, key, collection) { + var criteria = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { return iteratee(value); }); return { 'criteria': criteria, 'index': ++index, 'value': value }; @@ -2796,9 +2796,9 @@ function baseOrderBy(collection, iteratees, orders) { /* harmony default export */ const _baseOrderBy = (baseOrderBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/sortBy.js @@ -2834,17 +2834,17 @@ var _isIterateeCall = __webpack_require__(50439); * _.sortBy(users, ['user', 'age']); * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]] */ -var sortBy = (0,_baseRest/* default */.Z)(function(collection, iteratees) { +var sortBy = (0,_baseRest/* default */.c)(function(collection, iteratees) { if (collection == null) { return []; } var length = iteratees.length; - if (length > 1 && (0,_isIterateeCall/* default */.Z)(collection, iteratees[0], iteratees[1])) { + if (length > 1 && (0,_isIterateeCall/* default */.c)(collection, iteratees[0], iteratees[1])) { iteratees = []; - } else if (length > 2 && (0,_isIterateeCall/* default */.Z)(iteratees[0], iteratees[1], iteratees[2])) { + } else if (length > 2 && (0,_isIterateeCall/* default */.c)(iteratees[0], iteratees[1], iteratees[2])) { iteratees = [iteratees[0]]; } - return _baseOrderBy(collection, (0,_baseFlatten/* default */.Z)(iteratees, 1), []); + return _baseOrderBy(collection, (0,_baseFlatten/* default */.c)(iteratees, 1), []); }); /* harmony default export */ const lodash_es_sortBy = (sortBy); @@ -2884,14 +2884,14 @@ function twoLayerCrossCount(g, northLayer, southLayer) { // their head in the south layer. var southPos = lodash_es_zipObject( southLayer, - map/* default */.Z(southLayer, function (v, i) { + map/* default */.c(southLayer, function (v, i) { return i; }) ); - var southEntries = flatten/* default */.Z( - map/* default */.Z(northLayer, function (v) { + var southEntries = flatten/* default */.c( + map/* default */.c(northLayer, function (v) { return lodash_es_sortBy( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return { pos: southPos[e.w], weight: g.edge(e).weight }; }), 'pos' @@ -2904,13 +2904,13 @@ function twoLayerCrossCount(g, northLayer, southLayer) { while (firstIndex < southLayer.length) firstIndex <<= 1; var treeSize = 2 * firstIndex - 1; firstIndex -= 1; - var tree = map/* default */.Z(new Array(treeSize), function () { + var tree = map/* default */.c(new Array(treeSize), function () { return 0; }); // Calculate the weighted crossings var cc = 0; - forEach/* default */.Z( + forEach/* default */.c( // @ts-expect-error southEntries.forEach(function (entry) { var index = entry.pos + firstIndex; @@ -2951,30 +2951,30 @@ function twoLayerCrossCount(g, northLayer, southLayer) { */ function initOrder(g) { var visited = {}; - var simpleNodes = filter/* default */.Z(g.nodes(), function (v) { + var simpleNodes = filter/* default */.c(g.nodes(), function (v) { return !g.children(v).length; }); var maxRank = lodash_es_max( - map/* default */.Z(simpleNodes, function (v) { + map/* default */.c(simpleNodes, function (v) { return g.node(v).rank; }) ); - var layers = map/* default */.Z(range/* default */.Z(maxRank + 1), function () { + var layers = map/* default */.c(range/* default */.c(maxRank + 1), function () { return []; }); function dfs(v) { - if (has/* default */.Z(visited, v)) return; + if (has/* default */.c(visited, v)) return; visited[v] = true; var node = g.node(v); layers[node.rank].push(v); - forEach/* default */.Z(g.successors(v), dfs); + forEach/* default */.c(g.successors(v), dfs); } var orderedVs = lodash_es_sortBy(simpleNodes, function (v) { return g.node(v).rank; }); - forEach/* default */.Z(orderedVs, dfs); + forEach/* default */.c(orderedVs, dfs); return layers; } @@ -2985,12 +2985,12 @@ function initOrder(g) { function barycenter(g, movable) { - return map/* default */.Z(movable, function (v) { + return map/* default */.c(movable, function (v) { var inV = g.inEdges(v); if (!inV.length) { return { v: v }; } else { - var result = reduce/* default */.Z( + var result = reduce/* default */.c( inV, function (acc, e) { var edge = g.edge(e), @@ -3044,7 +3044,7 @@ function barycenter(g, movable) { */ function resolveConflicts(entries, cg) { var mappedEntries = {}; - forEach/* default */.Z(entries, function (entry, i) { + forEach/* default */.c(entries, function (entry, i) { var tmp = (mappedEntries[entry.v] = { indegree: 0, in: [], @@ -3052,7 +3052,7 @@ function resolveConflicts(entries, cg) { vs: [entry.v], i: i, }); - if (!isUndefined/* default */.Z(entry.barycenter)) { + if (!isUndefined/* default */.c(entry.barycenter)) { // @ts-expect-error tmp.barycenter = entry.barycenter; // @ts-expect-error @@ -3060,16 +3060,16 @@ function resolveConflicts(entries, cg) { } }); - forEach/* default */.Z(cg.edges(), function (e) { + forEach/* default */.c(cg.edges(), function (e) { var entryV = mappedEntries[e.v]; var entryW = mappedEntries[e.w]; - if (!isUndefined/* default */.Z(entryV) && !isUndefined/* default */.Z(entryW)) { + if (!isUndefined/* default */.c(entryV) && !isUndefined/* default */.c(entryW)) { entryW.indegree++; entryV.out.push(mappedEntries[e.w]); } }); - var sourceSet = filter/* default */.Z(mappedEntries, function (entry) { + var sourceSet = filter/* default */.c(mappedEntries, function (entry) { // @ts-expect-error return !entry.indegree; }); @@ -3086,8 +3086,8 @@ function doResolveConflicts(sourceSet) { return; } if ( - isUndefined/* default */.Z(uEntry.barycenter) || - isUndefined/* default */.Z(vEntry.barycenter) || + isUndefined/* default */.c(uEntry.barycenter) || + isUndefined/* default */.c(vEntry.barycenter) || uEntry.barycenter >= vEntry.barycenter ) { mergeEntries(vEntry, uEntry); @@ -3107,16 +3107,16 @@ function doResolveConflicts(sourceSet) { while (sourceSet.length) { var entry = sourceSet.pop(); entries.push(entry); - forEach/* default */.Z(entry['in'].reverse(), handleIn(entry)); - forEach/* default */.Z(entry.out, handleOut(entry)); + forEach/* default */.c(entry['in'].reverse(), handleIn(entry)); + forEach/* default */.c(entry.out, handleOut(entry)); } - return map/* default */.Z( - filter/* default */.Z(entries, function (entry) { + return map/* default */.c( + filter/* default */.c(entries, function (entry) { return !entry.merged; }), function (entry) { - return pick/* default */.Z(entry, ['vs', 'i', 'barycenter', 'weight']); + return pick/* default */.c(entry, ['vs', 'i', 'barycenter', 'weight']); } ); } @@ -3150,7 +3150,7 @@ function mergeEntries(target, source) { function sort(entries, biasRight) { var parts = partition(entries, function (entry) { - return has/* default */.Z(entry, 'barycenter'); + return has/* default */.c(entry, 'barycenter'); }); var sortable = parts.lhs, unsortable = lodash_es_sortBy(parts.rhs, function (entry) { @@ -3165,7 +3165,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); - forEach/* default */.Z(sortable, function (entry) { + forEach/* default */.c(sortable, function (entry) { vsIndex += entry.vs.length; vs.push(entry.vs); sum += entry.barycenter * entry.weight; @@ -3173,7 +3173,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); }); - var result = { vs: flatten/* default */.Z(vs) }; + var result = { vs: flatten/* default */.c(vs) }; if (weight) { result.barycenter = sum / weight; result.weight = weight; @@ -3219,17 +3219,17 @@ function sortSubgraph(g, v, cg, biasRight) { var subgraphs = {}; if (bl) { - movable = filter/* default */.Z(movable, function (w) { + movable = filter/* default */.c(movable, function (w) { return w !== bl && w !== br; }); } var barycenters = barycenter(g, movable); - forEach/* default */.Z(barycenters, function (entry) { + forEach/* default */.c(barycenters, function (entry) { if (g.children(entry.v).length) { var subgraphResult = sortSubgraph(g, entry.v, cg, biasRight); subgraphs[entry.v] = subgraphResult; - if (has/* default */.Z(subgraphResult, 'barycenter')) { + if (has/* default */.c(subgraphResult, 'barycenter')) { mergeBarycenters(entry, subgraphResult); } } @@ -3241,11 +3241,11 @@ function sortSubgraph(g, v, cg, biasRight) { var result = sort(entries, biasRight); if (bl) { - result.vs = flatten/* default */.Z([bl, result.vs, br]); + result.vs = flatten/* default */.c([bl, result.vs, br]); if (g.predecessors(bl).length) { var blPred = g.node(g.predecessors(bl)[0]), brPred = g.node(g.predecessors(br)[0]); - if (!has/* default */.Z(result, 'barycenter')) { + if (!has/* default */.c(result, 'barycenter')) { result.barycenter = 0; result.weight = 0; } @@ -3259,8 +3259,8 @@ function sortSubgraph(g, v, cg, biasRight) { } function expandSubgraphs(entries, subgraphs) { - forEach/* default */.Z(entries, function (entry) { - entry.vs = flatten/* default */.Z( + forEach/* default */.c(entries, function (entry) { + entry.vs = flatten/* default */.c( entry.vs.map(function (v) { if (subgraphs[v]) { return subgraphs[v].vs; @@ -3272,7 +3272,7 @@ function expandSubgraphs(entries, subgraphs) { } function mergeBarycenters(target, other) { - if (!isUndefined/* default */.Z(target.barycenter)) { + if (!isUndefined/* default */.c(target.barycenter)) { target.barycenter = (target.barycenter * target.weight + other.barycenter * other.weight) / (target.weight + other.weight); @@ -3312,8 +3312,8 @@ function mergeBarycenters(target, other) { */ function order(g) { var maxRank = util_maxRank(g), - downLayerGraphs = buildLayerGraphs(g, range/* default */.Z(1, maxRank + 1), 'inEdges'), - upLayerGraphs = buildLayerGraphs(g, range/* default */.Z(maxRank - 1, -1, -1), 'outEdges'); + downLayerGraphs = buildLayerGraphs(g, range/* default */.c(1, maxRank + 1), 'inEdges'), + upLayerGraphs = buildLayerGraphs(g, range/* default */.c(maxRank - 1, -1, -1), 'outEdges'); var layering = initOrder(g); assignOrder(g, layering); @@ -3337,17 +3337,17 @@ function order(g) { } function buildLayerGraphs(g, ranks, relationship) { - return map/* default */.Z(ranks, function (rank) { + return map/* default */.c(ranks, function (rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { - var cg = new graphlib/* Graph */.k(); - forEach/* default */.Z(layerGraphs, function (lg) { + var cg = new graphlib/* Graph */.M(); + forEach/* default */.c(layerGraphs, function (lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); - forEach/* default */.Z(sorted.vs, function (v, i) { + forEach/* default */.c(sorted.vs, function (v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); @@ -3355,8 +3355,8 @@ function sweepLayerGraphs(layerGraphs, biasRight) { } function assignOrder(g, layering) { - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, i) { g.node(v).order = i; }); }); @@ -3370,7 +3370,7 @@ function assignOrder(g, layering) { function parentDummyChains(g) { var postorderNums = parent_dummy_chains_postorder(g); - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var edgeObj = node.edgeObj; var pathData = findPath(g, postorderNums, edgeObj.v, edgeObj.w); @@ -3442,16 +3442,16 @@ function parent_dummy_chains_postorder(g) { function dfs(v) { var low = lim; - forEach/* default */.Z(g.children(v), dfs); + forEach/* default */.c(g.children(v), dfs); result[v] = { low: low, lim: lim++ }; } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); return result; } // EXTERNAL MODULE: ./node_modules/lodash-es/_castFunction.js -var _castFunction = __webpack_require__(68882); +var _castFunction = __webpack_require__(12176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forOwn.js @@ -3485,15 +3485,15 @@ var _castFunction = __webpack_require__(68882); * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forOwn(object, iteratee) { - return object && (0,_baseForOwn/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee)); + return object && (0,_baseForOwn/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee)); } /* harmony default export */ const lodash_es_forOwn = (forOwn); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFor.js + 1 modules -var _baseFor = __webpack_require__(61395); +var _baseFor = __webpack_require__(19004); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forIn.js @@ -3530,7 +3530,7 @@ var keysIn = __webpack_require__(32957); function forIn(object, iteratee) { return object == null ? object - : (0,_baseFor/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee), keysIn/* default */.Z); + : (0,_baseFor/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee), keysIn/* default */.c); } /* harmony default export */ const lodash_es_forIn = (forIn); @@ -3577,13 +3577,13 @@ function findType1Conflicts(g, layering) { prevLayerLength = prevLayer.length, lastNode = lodash_es_last(layer); - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var w = findOtherInnerSegmentNode(g, v), k1 = w ? g.node(w).order : prevLayerLength; if (w || v === lastNode) { - forEach/* default */.Z(layer.slice(scanPos, i + 1), function (scanNode) { - forEach/* default */.Z(g.predecessors(scanNode), function (u) { + forEach/* default */.c(layer.slice(scanPos, i + 1), function (scanNode) { + forEach/* default */.c(g.predecessors(scanNode), function (u) { var uLabel = g.node(u), uPos = uLabel.order; if ((uPos < k0 || k1 < uPos) && !(uLabel.dummy && g.node(scanNode).dummy)) { @@ -3600,7 +3600,7 @@ function findType1Conflicts(g, layering) { return layer; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3609,10 +3609,10 @@ function findType2Conflicts(g, layering) { function scan(south, southPos, southEnd, prevNorthBorder, nextNorthBorder) { var v; - forEach/* default */.Z(range/* default */.Z(southPos, southEnd), function (i) { + forEach/* default */.c(range/* default */.c(southPos, southEnd), function (i) { v = south[i]; if (g.node(v).dummy) { - forEach/* default */.Z(g.predecessors(v), function (u) { + forEach/* default */.c(g.predecessors(v), function (u) { var uNode = g.node(u); if (uNode.dummy && (uNode.order < prevNorthBorder || uNode.order > nextNorthBorder)) { addConflict(conflicts, u, v); @@ -3627,7 +3627,7 @@ function findType2Conflicts(g, layering) { nextNorthPos, southPos = 0; - forEach/* default */.Z(south, function (v, southLookahead) { + forEach/* default */.c(south, function (v, southLookahead) { if (g.node(v).dummy === 'border') { var predecessors = g.predecessors(v); if (predecessors.length) { @@ -3644,7 +3644,7 @@ function findType2Conflicts(g, layering) { return south; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3676,7 +3676,7 @@ function hasConflict(conflicts, v, w) { v = w; w = tmp; } - return has/* default */.Z(conflicts[v], w); + return has/* default */.c(conflicts[v], w); } /* @@ -3695,17 +3695,17 @@ function verticalAlignment(g, layering, conflicts, neighborFn) { // We cache the position here based on the layering because the graph and // layering may be out of sync. The layering matrix is manipulated to // generate different extreme alignments. - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, order) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, order) { root[v] = v; align[v] = v; pos[v] = order; }); }); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var prevIdx = -1; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var ws = neighborFn(v); if (ws.length) { ws = lodash_es_sortBy(ws, function (w) { @@ -3777,7 +3777,7 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { iterate(pass2, blockG.successors.bind(blockG)); // Assign x coordinates to all nodes - forEach/* default */.Z(align, function (v) { + forEach/* default */.c(align, function (v) { xs[v] = xs[root[v]]; }); @@ -3785,13 +3785,13 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { } function buildBlockGraph(g, layering, root, reverseSep) { - var blockGraph = new graphlib/* Graph */.k(), + var blockGraph = new graphlib/* Graph */.M(), graphLabel = g.graph(), sepFn = sep(graphLabel.nodesep, graphLabel.edgesep, reverseSep); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var u; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var vRoot = root[v]; blockGraph.setNode(vRoot); if (u) { @@ -3810,7 +3810,7 @@ function buildBlockGraph(g, layering, root, reverseSep) { * Returns the alignment that has the smallest width of the given alignments. */ function findSmallestWidthAlignment(g, xss) { - return lodash_es_minBy(values/* default */.Z(xss), function (xs) { + return lodash_es_minBy(values/* default */.c(xss), function (xs) { var max = Number.NEGATIVE_INFINITY; var min = Number.POSITIVE_INFINITY; @@ -3833,18 +3833,18 @@ function findSmallestWidthAlignment(g, xss) { * coordinate of the smallest width alignment. */ function alignCoordinates(xss, alignTo) { - var alignToVals = values/* default */.Z(alignTo), + var alignToVals = values/* default */.c(alignTo), alignToMin = lodash_es_min(alignToVals), alignToMax = lodash_es_max(alignToVals); - forEach/* default */.Z(['u', 'd'], function (vert) { - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + forEach/* default */.c(['l', 'r'], function (horiz) { var alignment = vert + horiz, xs = xss[alignment], delta; if (xs === alignTo) return; - var xsVals = values/* default */.Z(xs); + var xsVals = values/* default */.c(xs); delta = horiz === 'l' ? alignToMin - lodash_es_min(xsVals) : alignToMax - lodash_es_max(xsVals); if (delta) { @@ -3861,7 +3861,7 @@ function balance(xss, align) { if (align) { return xss[align.toLowerCase()][v]; } else { - var xs = lodash_es_sortBy(map/* default */.Z(xss, v)); + var xs = lodash_es_sortBy(map/* default */.c(xss, v)); return (xs[1] + xs[2]) / 2; } }); @@ -3869,16 +3869,16 @@ function balance(xss, align) { function positionX(g) { var layering = buildLayerMatrix(g); - var conflicts = merge/* default */.Z(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); + var conflicts = merge/* default */.c(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); var xss = {}; var adjustedLayering; - forEach/* default */.Z(['u', 'd'], function (vert) { - adjustedLayering = vert === 'u' ? layering : values/* default */.Z(layering).reverse(); - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + adjustedLayering = vert === 'u' ? layering : values/* default */.c(layering).reverse(); + forEach/* default */.c(['l', 'r'], function (horiz) { if (horiz === 'r') { - adjustedLayering = map/* default */.Z(adjustedLayering, function (inner) { - return values/* default */.Z(inner).reverse(); + adjustedLayering = map/* default */.c(adjustedLayering, function (inner) { + return values/* default */.c(inner).reverse(); }); } @@ -3907,7 +3907,7 @@ function sep(nodeSep, edgeSep, reverseSep) { var delta; sum += vLabel.width / 2; - if (has/* default */.Z(vLabel, 'labelpos')) { + if (has/* default */.c(vLabel, 'labelpos')) { switch (vLabel.labelpos.toLowerCase()) { case 'l': delta = -vLabel.width / 2; @@ -3926,7 +3926,7 @@ function sep(nodeSep, edgeSep, reverseSep) { sum += (wLabel.dummy ? edgeSep : nodeSep) / 2; sum += wLabel.width / 2; - if (has/* default */.Z(wLabel, 'labelpos')) { + if (has/* default */.c(wLabel, 'labelpos')) { switch (wLabel.labelpos.toLowerCase()) { case 'l': delta = wLabel.width / 2; @@ -3969,13 +3969,13 @@ function positionY(g) { var layering = buildLayerMatrix(g); var rankSep = g.graph().ranksep; var prevY = 0; - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var maxHeight = lodash_es_max( - map/* default */.Z(layer, function (v) { + map/* default */.c(layer, function (v) { return g.node(v).height; }) ); - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { g.node(v).y = prevY + maxHeight / 2; }); prevY += maxHeight + rankSep; @@ -4104,7 +4104,7 @@ function runLayout(g, time) { * attributes can influence layout. */ function updateInputGraph(inputGraph, layoutGraph) { - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var inputLabel = inputGraph.node(v); var layoutLabel = layoutGraph.node(v); @@ -4119,12 +4119,12 @@ function updateInputGraph(inputGraph, layoutGraph) { } }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var inputLabel = inputGraph.edge(e); var layoutLabel = layoutGraph.edge(e); inputLabel.points = layoutLabel.points; - if (has/* default */.Z(layoutLabel, 'x')) { + if (has/* default */.c(layoutLabel, 'x')) { inputLabel.x = layoutLabel.x; inputLabel.y = layoutLabel.y; } @@ -4157,24 +4157,24 @@ var edgeAttrs = ['labelpos']; * attributes can influence layout. */ function buildLayoutGraph(inputGraph) { - var g = new graphlib/* Graph */.k({ multigraph: true, compound: true }); + var g = new graphlib/* Graph */.M({ multigraph: true, compound: true }); var graph = canonicalize(inputGraph.graph()); g.setGraph( - merge/* default */.Z({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.Z(graph, graphAttrs)) + merge/* default */.c({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.c(graph, graphAttrs)) ); - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var node = canonicalize(inputGraph.node(v)); - g.setNode(v, defaults/* default */.Z(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); + g.setNode(v, defaults/* default */.c(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); g.setParent(v, inputGraph.parent(v)); }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var edge = canonicalize(inputGraph.edge(e)); g.setEdge( e, - merge/* default */.Z({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.Z(edge, edgeAttrs)) + merge/* default */.c({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.c(edge, edgeAttrs)) ); }); @@ -4192,7 +4192,7 @@ function buildLayoutGraph(inputGraph) { function makeSpaceForEdgeLabels(g) { var graph = g.graph(); graph.ranksep /= 2; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); edge.minlen *= 2; if (edge.labelpos.toLowerCase() !== 'c') { @@ -4212,7 +4212,7 @@ function makeSpaceForEdgeLabels(g) { * label's position. */ function injectEdgeLabelProxies(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.width && edge.height) { var v = g.node(e.v); @@ -4225,7 +4225,7 @@ function injectEdgeLabelProxies(g) { function assignRankMinMax(g) { var maxRank = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.borderTop) { node.minRank = g.node(node.borderTop).rank; @@ -4238,7 +4238,7 @@ function assignRankMinMax(g) { } function removeEdgeLabelProxies(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'edge-proxy') { g.edge(node.e).labelRank = node.rank; @@ -4267,12 +4267,12 @@ function translateGraph(g) { maxY = Math.max(maxY, y + h / 2); } - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { getExtremes(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { getExtremes(edge); } }); @@ -4280,22 +4280,22 @@ function translateGraph(g) { minX -= marginX; minY -= marginY; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); node.x -= minX; node.y -= minY; }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, function (p) { + forEach/* default */.c(edge.points, function (p) { p.x -= minX; p.y -= minY; }); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { edge.x -= minX; } - if (has/* default */.Z(edge, 'y')) { + if (has/* default */.c(edge, 'y')) { edge.y -= minY; } }); @@ -4305,7 +4305,7 @@ function translateGraph(g) { } function assignNodeIntersects(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); var nodeV = g.node(e.v); var nodeW = g.node(e.w); @@ -4324,9 +4324,9 @@ function assignNodeIntersects(g) { } function fixupEdgeLabelCoords(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { if (edge.labelpos === 'l' || edge.labelpos === 'r') { edge.width -= edge.labeloffset; } @@ -4343,7 +4343,7 @@ function fixupEdgeLabelCoords(g) { } function reversePointsForReversedEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.reversed) { edge.points.reverse(); @@ -4352,7 +4352,7 @@ function reversePointsForReversedEdges(g) { } function removeBorderNodes(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.children(v).length) { var node = g.node(v); var t = g.node(node.borderTop); @@ -4367,7 +4367,7 @@ function removeBorderNodes(g) { } }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.node(v).dummy === 'border') { g.removeNode(v); } @@ -4375,7 +4375,7 @@ function removeBorderNodes(g) { } function removeSelfEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { if (e.v === e.w) { var node = g.node(e.v); if (!node.selfEdges) { @@ -4389,12 +4389,12 @@ function removeSelfEdges(g) { function insertSelfEdges(g) { var layers = buildLayerMatrix(g); - forEach/* default */.Z(layers, function (layer) { + forEach/* default */.c(layers, function (layer) { var orderShift = 0; - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var node = g.node(v); node.order = i + orderShift; - forEach/* default */.Z(node.selfEdges, function (selfEdge) { + forEach/* default */.c(node.selfEdges, function (selfEdge) { addDummyNode( g, 'selfedge', @@ -4415,7 +4415,7 @@ function insertSelfEdges(g) { } function positionSelfEdges(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'selfedge') { var selfNode = g.node(node.e.v); @@ -4439,12 +4439,12 @@ function positionSelfEdges(g) { } function selectNumberAttrs(obj, attrs) { - return lodash_es_mapValues(pick/* default */.Z(obj, attrs), Number); + return lodash_es_mapValues(pick/* default */.c(obj, attrs), Number); } function canonicalize(attrs) { var newAttrs = {}; - forEach/* default */.Z(attrs, function (v, k) { + forEach/* default */.c(attrs, function (v, k) { newAttrs[k.toLowerCase()] = v; }); return newAttrs; @@ -4461,39 +4461,39 @@ function canonicalize(attrs) { /***/ }), -/***/ 52544: +/***/ 58048: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - k: () => (/* binding */ Graph) + M: () => (/* binding */ Graph) }); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/isFunction.js -var isFunction = __webpack_require__(73234); +var isFunction = __webpack_require__(59680); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); // EXTERNAL MODULE: ./node_modules/lodash-es/isEmpty.js -var isEmpty = __webpack_require__(79697); +var isEmpty = __webpack_require__(28796); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsNaN.js /** * The base implementation of `_.isNaN` without support for number objects. @@ -4550,7 +4550,7 @@ function strictIndexOf(array, value, fromIndex) { function baseIndexOf(array, value, fromIndex) { return value === value ? _strictIndexOf(array, value, fromIndex) - : (0,_baseFindIndex/* default */.Z)(array, _baseIsNaN, fromIndex); + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); } /* harmony default export */ const _baseIndexOf = (baseIndexOf); @@ -4599,9 +4599,9 @@ function arrayIncludesWith(array, value, comparator) { /* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); // EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js -var _Set = __webpack_require__(93203); +var _Set = __webpack_require__(61268); ;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js /** * This method returns `undefined`. @@ -4622,7 +4622,7 @@ function noop() { /* harmony default export */ const lodash_es_noop = (noop); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js @@ -4638,8 +4638,8 @@ var INFINITY = 1 / 0; * @param {Array} values The values to add to the set. * @returns {Object} Returns the new set. */ -var createSet = !(_Set/* default */.Z && (1 / (0,_setToArray/* default */.Z)(new _Set/* default */.Z([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { - return new _Set/* default */.Z(values); +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); }; /* harmony default export */ const _createSet = (createSet); @@ -4679,11 +4679,11 @@ function baseUniq(array, iteratee, comparator) { else if (length >= LARGE_ARRAY_SIZE) { var set = iteratee ? null : _createSet(array); if (set) { - return (0,_setToArray/* default */.Z)(set); + return (0,_setToArray/* default */.c)(set); } isCommon = false; - includes = _cacheHas/* default */.Z; - seen = new _SetCache/* default */.Z; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; } else { seen = iteratee ? [] : result; @@ -4719,7 +4719,7 @@ function baseUniq(array, iteratee, comparator) { /* harmony default export */ const _baseUniq = (baseUniq); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js -var isArrayLikeObject = __webpack_require__(836); +var isArrayLikeObject = __webpack_require__(19724); ;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js @@ -4742,16 +4742,16 @@ var isArrayLikeObject = __webpack_require__(836); * _.union([2], [1, 2]); * // => [2, 1] */ -var union = (0,_baseRest/* default */.Z)(function(arrays) { - return _baseUniq((0,_baseFlatten/* default */.Z)(arrays, 1, isArrayLikeObject/* default */.Z, true)); +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); }); /* harmony default export */ const lodash_es_union = (union); // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js @@ -4780,18 +4780,18 @@ var EDGE_KEY_DELIM = '\x01'; // we're going to get to a performant hashtable in JavaScript. class Graph { constructor(opts = {}) { - this._isDirected = has/* default */.Z(opts, 'directed') ? opts.directed : true; - this._isMultigraph = has/* default */.Z(opts, 'multigraph') ? opts.multigraph : false; - this._isCompound = has/* default */.Z(opts, 'compound') ? opts.compound : false; + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; // Label for the graph itself this._label = undefined; // Defaults to be set when creating a new node - this._defaultNodeLabelFn = constant/* default */.Z(undefined); + this._defaultNodeLabelFn = constant/* default */.c(undefined); // Defaults to be set when creating a new edge - this._defaultEdgeLabelFn = constant/* default */.Z(undefined); + this._defaultEdgeLabelFn = constant/* default */.c(undefined); // v -> label this._nodes = {}; @@ -4842,8 +4842,8 @@ class Graph { } /* === Node functions ========== */ setDefaultNodeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultNodeLabelFn = newDefault; return this; @@ -4852,24 +4852,24 @@ class Graph { return this._nodeCount; } nodes() { - return keys/* default */.Z(this._nodes); + return keys/* default */.c(this._nodes); } sources() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._in[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); }); } sinks() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._out[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); }); } setNodes(vs, value) { var args = arguments; var self = this; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (args.length > 1) { self.setNode(v, value); } else { @@ -4879,7 +4879,7 @@ class Graph { return this; } setNode(v, value) { - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { if (arguments.length > 1) { this._nodes[v] = value; } @@ -4904,11 +4904,11 @@ class Graph { return this._nodes[v]; } hasNode(v) { - return has/* default */.Z(this._nodes, v); + return has/* default */.c(this._nodes, v); } removeNode(v) { var self = this; - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { var removeEdge = function (e) { self.removeEdge(self._edgeObjs[e]); }; @@ -4916,15 +4916,15 @@ class Graph { if (this._isCompound) { this._removeFromParentsChildList(v); delete this._parent[v]; - forEach/* default */.Z(this.children(v), function (child) { + forEach/* default */.c(this.children(v), function (child) { self.setParent(child); }); delete this._children[v]; } - forEach/* default */.Z(keys/* default */.Z(this._in[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); delete this._in[v]; delete this._preds[v]; - forEach/* default */.Z(keys/* default */.Z(this._out[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); delete this._out[v]; delete this._sucs[v]; --this._nodeCount; @@ -4936,12 +4936,12 @@ class Graph { throw new Error('Cannot set parent in a non-compound graph'); } - if (isUndefined/* default */.Z(parent)) { + if (isUndefined/* default */.c(parent)) { parent = GRAPH_NODE; } else { // Coerce parent to string parent += ''; - for (var ancestor = parent; !isUndefined/* default */.Z(ancestor); ancestor = this.parent(ancestor)) { + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { if (ancestor === v) { throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); } @@ -4968,14 +4968,14 @@ class Graph { } } children(v) { - if (isUndefined/* default */.Z(v)) { + if (isUndefined/* default */.c(v)) { v = GRAPH_NODE; } if (this._isCompound) { var children = this._children[v]; if (children) { - return keys/* default */.Z(children); + return keys/* default */.c(children); } } else if (v === GRAPH_NODE) { return this.nodes(); @@ -4986,13 +4986,13 @@ class Graph { predecessors(v) { var predsV = this._preds[v]; if (predsV) { - return keys/* default */.Z(predsV); + return keys/* default */.c(predsV); } } successors(v) { var sucsV = this._sucs[v]; if (sucsV) { - return keys/* default */.Z(sucsV); + return keys/* default */.c(sucsV); } } neighbors(v) { @@ -5021,13 +5021,13 @@ class Graph { copy.setGraph(this.graph()); var self = this; - forEach/* default */.Z(this._nodes, function (value, v) { + forEach/* default */.c(this._nodes, function (value, v) { if (filter(v)) { copy.setNode(v, value); } }); - forEach/* default */.Z(this._edgeObjs, function (e) { + forEach/* default */.c(this._edgeObjs, function (e) { // @ts-expect-error if (copy.hasNode(e.v) && copy.hasNode(e.w)) { copy.setEdge(e, self.edge(e)); @@ -5048,7 +5048,7 @@ class Graph { } if (this._isCompound) { - forEach/* default */.Z(copy.nodes(), function (v) { + forEach/* default */.c(copy.nodes(), function (v) { copy.setParent(v, findParent(v)); }); } @@ -5057,8 +5057,8 @@ class Graph { } /* === Edge functions ========== */ setDefaultEdgeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultEdgeLabelFn = newDefault; return this; @@ -5067,12 +5067,12 @@ class Graph { return this._edgeCount; } edges() { - return values/* default */.Z(this._edgeObjs); + return values/* default */.c(this._edgeObjs); } setPath(vs, value) { var self = this; var args = arguments; - reduce/* default */.Z(vs, function (v, w) { + reduce/* default */.c(vs, function (v, w) { if (args.length > 1) { self.setEdge(v, w, value); } else { @@ -5111,19 +5111,19 @@ class Graph { v = '' + v; w = '' + w; - if (!isUndefined/* default */.Z(name)) { + if (!isUndefined/* default */.c(name)) { name = '' + name; } var e = edgeArgsToId(this._isDirected, v, w, name); - if (has/* default */.Z(this._edgeLabels, e)) { + if (has/* default */.c(this._edgeLabels, e)) { if (valueSpecified) { this._edgeLabels[e] = value; } return this; } - if (!isUndefined/* default */.Z(name) && !this._isMultigraph) { + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { throw new Error('Cannot set a named edge when isMultigraph = false'); } @@ -5161,7 +5161,7 @@ class Graph { arguments.length === 1 ? edgeObjToId(this._isDirected, arguments[0]) : edgeArgsToId(this._isDirected, v, w, name); - return has/* default */.Z(this._edgeLabels, e); + return has/* default */.c(this._edgeLabels, e); } removeEdge(v, w, name) { var e = @@ -5185,11 +5185,11 @@ class Graph { inEdges(v, u) { var inV = this._in[v]; if (inV) { - var edges = values/* default */.Z(inV); + var edges = values/* default */.c(inV); if (!u) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.v === u; }); } @@ -5197,11 +5197,11 @@ class Graph { outEdges(v, w) { var outV = this._out[v]; if (outV) { - var edges = values/* default */.Z(outV); + var edges = values/* default */.c(outV); if (!w) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.w === w; }); } @@ -5242,7 +5242,7 @@ function edgeArgsToId(isDirected, v_, w_, name) { v = w; w = tmp; } - return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.Z(name) ? DEFAULT_EDGE_NAME : name); + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); } function edgeArgsToObj(isDirected, v_, w_, name) { @@ -5267,14 +5267,14 @@ function edgeObjToId(isDirected, edgeObj) { /***/ }), -/***/ 45625: +/***/ 95536: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ k: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.k) +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) /* harmony export */ }); /* unused harmony export version */ -/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(52544); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); // Includes only the "core" of graphlib @@ -5286,64 +5286,17 @@ const version = '2.1.9-pre'; /***/ }), -/***/ 39354: +/***/ 41520: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { - -// EXPORTS -__webpack_require__.d(__webpack_exports__, { - c: () => (/* binding */ write) -}); - -// UNUSED EXPORTS: read - -// EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); -// EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); -;// CONCATENATED MODULE: ./node_modules/lodash-es/clone.js - - -/** Used to compose bitmasks for cloning. */ -var CLONE_SYMBOLS_FLAG = 4; - -/** - * Creates a shallow clone of `value`. - * - * **Note:** This method is loosely based on the - * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) - * and supports cloning arrays, array buffers, booleans, date objects, maps, - * numbers, `Object` objects, regexes, sets, strings, symbols, and typed - * arrays. The own enumerable properties of `arguments` objects are cloned - * as plain objects. An empty object is returned for uncloneable values such - * as error objects, functions, DOM nodes, and WeakMaps. - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Lang - * @param {*} value The value to clone. - * @returns {*} Returns the cloned value. - * @see _.cloneDeep - * @example - * - * var objects = [{ 'a': 1 }, { 'b': 2 }]; - * - * var shallow = _.clone(objects); - * console.log(shallow[0] === objects[0]); - * // => true - */ -function clone(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_SYMBOLS_FLAG); -} - -/* harmony default export */ const lodash_es_clone = (clone); - -// EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); -;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/json.js +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ G: () => (/* binding */ write) +/* harmony export */ }); +/* unused harmony export read */ +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(60372); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(77784); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(92696); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); @@ -5359,21 +5312,21 @@ function write(g) { nodes: writeNodes(g), edges: writeEdges(g), }; - if (!isUndefined/* default */.Z(g.graph())) { - json.value = lodash_es_clone(g.graph()); + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(g.graph())) { + json.value = lodash_es__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c(g.graph()); } return json; } function writeNodes(g) { - return map/* default */.Z(g.nodes(), function (v) { + return lodash_es__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c(g.nodes(), function (v) { var nodeValue = g.node(v); var parent = g.parent(v); var node = { v: v }; - if (!isUndefined/* default */.Z(nodeValue)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(nodeValue)) { node.value = nodeValue; } - if (!isUndefined/* default */.Z(parent)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(parent)) { node.parent = parent; } return node; @@ -5381,13 +5334,13 @@ function writeNodes(g) { } function writeEdges(g) { - return map/* default */.Z(g.edges(), function (e) { + return lodash_es__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c(g.edges(), function (e) { var edgeValue = g.edge(e); var edge = { v: e.v, w: e.w }; - if (!isUndefined/* default */.Z(e.name)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(e.name)) { edge.name = e.name; } - if (!isUndefined/* default */.Z(edgeValue)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(edgeValue)) { edge.value = edgeValue; } return edge; @@ -5411,17 +5364,38 @@ function read(json) { /***/ }), -/***/ 63001: +/***/ 21048: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _utils_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(89612); +/* harmony import */ var _color_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72120); +/* IMPORT */ + + +/* MAIN */ +const channel = (color, channel) => { + return _utils_index_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c.lang.round(_color_index_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c.parse(color)[channel]); +}; +/* EXPORT */ +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (channel); + + +/***/ }), + +/***/ 34528: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _SetCache) + c: () => (/* binding */ _SetCache) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules -var _MapCache = __webpack_require__(37834); +var _MapCache = __webpack_require__(86320); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; @@ -5476,7 +5450,7 @@ function SetCache(values) { var index = -1, length = values == null ? 0 : values.length; - this.__data__ = new _MapCache/* default */.Z; + this.__data__ = new _MapCache/* default */.c; while (++index < length) { this.add(values[index]); } @@ -5491,11 +5465,11 @@ SetCache.prototype.has = _setCacheHas; /***/ }), -/***/ 76579: +/***/ 56812: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.forEach` for arrays without support for @@ -5523,11 +5497,11 @@ function arrayEach(array, iteratee) { /***/ }), -/***/ 68774: +/***/ 46091: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.filter` for arrays without support for @@ -5558,11 +5532,11 @@ function arrayFilter(array, predicate) { /***/ }), -/***/ 74073: +/***/ 1304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.map` for arrays without support for iteratee @@ -5589,11 +5563,11 @@ function arrayMap(array, iteratee) { /***/ }), -/***/ 58694: +/***/ 25072: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Appends the elements of `values` to `array`. @@ -5619,25 +5593,25 @@ function arrayPush(array, values) { /***/ }), -/***/ 48451: +/***/ 48492: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseClone) + c: () => (/* binding */ _baseClone) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js -var _arrayEach = __webpack_require__(76579); +var _arrayEach = __webpack_require__(56812); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js -var _copyObject = __webpack_require__(31899); +var _copyObject = __webpack_require__(58904); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js @@ -5652,13 +5626,13 @@ var keys = __webpack_require__(17179); * @returns {Object} Returns `object`. */ function baseAssign(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keys/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); } /* harmony default export */ const _baseAssign = (baseAssign); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js @@ -5673,17 +5647,17 @@ var keysIn = __webpack_require__(32957); * @returns {Object} Returns `object`. */ function baseAssignIn(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keysIn/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); } /* harmony default export */ const _baseAssignIn = (baseAssignIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js -var _cloneBuffer = __webpack_require__(91050); +var _cloneBuffer = __webpack_require__(86656); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js -var _copyArray = __webpack_require__(87215); +var _copyArray = __webpack_require__(32488); // EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js -var _getSymbols = __webpack_require__(95695); +var _getSymbols = __webpack_require__(10772); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js @@ -5697,17 +5671,17 @@ var _getSymbols = __webpack_require__(95695); * @returns {Object} Returns `object`. */ function copySymbols(source, object) { - return (0,_copyObject/* default */.Z)(source, (0,_getSymbols/* default */.Z)(source), object); + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); } /* harmony default export */ const _copySymbols = (copySymbols); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js -var _getPrototype = __webpack_require__(12513); +var _getPrototype = __webpack_require__(75388); // EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js -var stubArray = __webpack_require__(60532); +var stubArray = __webpack_require__(41716); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js @@ -5724,11 +5698,11 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(object) { +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { var result = []; while (object) { - (0,_arrayPush/* default */.Z)(result, (0,_getSymbols/* default */.Z)(object)); - object = (0,_getPrototype/* default */.Z)(object); + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); } return result; }; @@ -5748,15 +5722,15 @@ var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(objec * @returns {Object} Returns `object`. */ function copySymbolsIn(source, object) { - return (0,_copyObject/* default */.Z)(source, _getSymbolsIn(source), object); + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); } /* harmony default export */ const _copySymbolsIn = (copySymbolsIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js -var _baseGetAllKeys = __webpack_require__(63327); +var _baseGetAllKeys = __webpack_require__(30176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js @@ -5771,13 +5745,13 @@ var _baseGetAllKeys = __webpack_require__(63327); * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { - return (0,_baseGetAllKeys/* default */.Z)(object, keysIn/* default */.Z, _getSymbolsIn); + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); } /* harmony default export */ const _getAllKeysIn = (getAllKeysIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js /** Used for built-in method references. */ var objectProto = Object.prototype; @@ -5807,7 +5781,7 @@ function initCloneArray(array) { /* harmony default export */ const _initCloneArray = (initCloneArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js -var _cloneArrayBuffer = __webpack_require__(41884); +var _cloneArrayBuffer = __webpack_require__(40976); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js @@ -5820,7 +5794,7 @@ var _cloneArrayBuffer = __webpack_require__(41884); * @returns {Object} Returns the cloned data view. */ function cloneDataView(dataView, isDeep) { - var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.Z)(dataView.buffer) : dataView.buffer; + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); } @@ -5846,12 +5820,12 @@ function cloneRegExp(regexp) { /* harmony default export */ const _cloneRegExp = (cloneRegExp); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -5868,7 +5842,7 @@ function cloneSymbol(symbol) { /* harmony default export */ const _cloneSymbol = (cloneSymbol); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js -var _cloneTypedArray = __webpack_require__(12701); +var _cloneTypedArray = __webpack_require__(70552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js @@ -5914,7 +5888,7 @@ function initCloneByTag(object, tag, isDeep) { var Ctor = object.constructor; switch (tag) { case arrayBufferTag: - return (0,_cloneArrayBuffer/* default */.Z)(object); + return (0,_cloneArrayBuffer/* default */.c)(object); case boolTag: case dateTag: @@ -5926,7 +5900,7 @@ function initCloneByTag(object, tag, isDeep) { case float32Tag: case float64Tag: case int8Tag: case int16Tag: case int32Tag: case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: - return (0,_cloneTypedArray/* default */.Z)(object, isDeep); + return (0,_cloneTypedArray/* default */.c)(object, isDeep); case mapTag: return new Ctor; @@ -5949,13 +5923,13 @@ function initCloneByTag(object, tag, isDeep) { /* harmony default export */ const _initCloneByTag = (initCloneByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules -var _initCloneObject = __webpack_require__(73658); +var _initCloneObject = __webpack_require__(1684); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js @@ -5971,22 +5945,22 @@ var _baseIsMap_mapTag = '[object Map]'; * @returns {boolean} Returns `true` if `value` is a map, else `false`. */ function baseIsMap(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsMap_mapTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; } /* harmony default export */ const _baseIsMap = (baseIsMap); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); // EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js -var _nodeUtil = __webpack_require__(98351); +var _nodeUtil = __webpack_require__(17576); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js /* Node.js helper references. */ -var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; /** * Checks if `value` is classified as a `Map` object. @@ -6005,12 +5979,12 @@ var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; * _.isMap(new WeakMap); * // => false */ -var isMap = nodeIsMap ? (0,_baseUnary/* default */.Z)(nodeIsMap) : _baseIsMap; +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; /* harmony default export */ const lodash_es_isMap = (isMap); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js @@ -6026,7 +6000,7 @@ var _baseIsSet_setTag = '[object Set]'; * @returns {boolean} Returns `true` if `value` is a set, else `false`. */ function baseIsSet(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsSet_setTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; } /* harmony default export */ const _baseIsSet = (baseIsSet); @@ -6037,7 +6011,7 @@ function baseIsSet(value) { /* Node.js helper references. */ -var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; /** * Checks if `value` is classified as a `Set` object. @@ -6056,7 +6030,7 @@ var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; * _.isSet(new WeakSet); * // => false */ -var isSet = nodeIsSet ? (0,_baseUnary/* default */.Z)(nodeIsSet) : _baseIsSet; +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; /* harmony default export */ const lodash_es_isSet = (isSet); @@ -6162,24 +6136,24 @@ function baseClone(value, bitmask, customizer, key, object, stack) { if (result !== undefined) { return result; } - if (!(0,isObject/* default */.Z)(value)) { + if (!(0,isObject/* default */.c)(value)) { return value; } - var isArr = (0,isArray/* default */.Z)(value); + var isArr = (0,isArray/* default */.c)(value); if (isArr) { result = _initCloneArray(value); if (!isDeep) { - return (0,_copyArray/* default */.Z)(value, result); + return (0,_copyArray/* default */.c)(value, result); } } else { - var tag = (0,_getTag/* default */.Z)(value), + var tag = (0,_getTag/* default */.c)(value), isFunc = tag == funcTag || tag == genTag; - if ((0,isBuffer/* default */.Z)(value)) { - return (0,_cloneBuffer/* default */.Z)(value, isDeep); + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); } if (tag == objectTag || tag == argsTag || (isFunc && !object)) { - result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.Z)(value); + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); if (!isDeep) { return isFlat ? _copySymbolsIn(value, _baseAssignIn(result, value)) @@ -6193,7 +6167,7 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } } // Check for circular references and return its corresponding clone. - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); var stacked = stack.get(value); if (stacked) { return stacked; @@ -6211,17 +6185,17 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } var keysFunc = isFull - ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.Z) - : (isFlat ? keysIn/* default */.Z : keys/* default */.Z); + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); var props = isArr ? undefined : keysFunc(value); - (0,_arrayEach/* default */.Z)(props || value, function(subValue, key) { + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { if (props) { key = subValue; subValue = value[key]; } // Recursively populate clone (susceptible to call stack limits). - (0,_assignValue/* default */.Z)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); }); return result; } @@ -6231,19 +6205,19 @@ function baseClone(value, bitmask, customizer, key, object, stack) { /***/ }), -/***/ 49811: +/***/ 92816: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseEach) + c: () => (/* binding */ _baseEach) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js @@ -6260,7 +6234,7 @@ function createBaseEach(eachFunc, fromRight) { if (collection == null) { return collection; } - if (!(0,isArrayLike/* default */.Z)(collection)) { + if (!(0,isArrayLike/* default */.c)(collection)) { return eachFunc(collection, iteratee); } var length = collection.length, @@ -6290,18 +6264,18 @@ function createBaseEach(eachFunc, fromRight) { * @param {Function} iteratee The function invoked per iteration. * @returns {Array|Object} Returns `collection`. */ -var baseEach = _createBaseEach(_baseForOwn/* default */.Z); +var baseEach = _createBaseEach(_baseForOwn/* default */.c); /* harmony default export */ const _baseEach = (baseEach); /***/ }), -/***/ 21692: +/***/ 16428: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.findIndex` and `_.findLastIndex` without @@ -6331,30 +6305,30 @@ function baseFindIndex(array, predicate, fromIndex, fromRight) { /***/ }), -/***/ 10626: +/***/ 40571: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseFlatten) + c: () => (/* binding */ _baseFlatten) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules -var isArguments = __webpack_require__(29169); +var isArguments = __webpack_require__(59636); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js /** Built-in value references. */ -var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatSpreadable : undefined; +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; /** * Checks if `value` is a flattenable `arguments` object or array. @@ -6364,7 +6338,7 @@ var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatS * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { - return (0,isArray/* default */.Z)(value) || (0,isArguments/* default */.Z)(value) || + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } @@ -6399,7 +6373,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { - (0,_arrayPush/* default */.Z)(result, value); + (0,_arrayPush/* default */.c)(result, value); } } else if (!isStrict) { result[result.length] = value; @@ -6413,14 +6387,14 @@ function baseFlatten(array, depth, predicate, isStrict, result) { /***/ }), -/***/ 2693: +/***/ 79985: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(61395); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -6433,7 +6407,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { * @returns {Object} Returns `object`. */ function baseForOwn(object, iteratee) { - return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z); + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); @@ -6441,14 +6415,14 @@ function baseForOwn(object, iteratee) { /***/ }), -/***/ 13317: +/***/ 60604: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -6461,13 +6435,13 @@ function baseForOwn(object, iteratee) { * @returns {*} Returns the resolved value. */ function baseGet(object, path) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = 0, length = path.length; while (object != null && index < length) { - object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index++])]; + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; } return (index && index == length) ? object : undefined; } @@ -6477,14 +6451,14 @@ function baseGet(object, path) { /***/ }), -/***/ 63327: +/***/ 30176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(58694); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -6501,7 +6475,7 @@ function baseGet(object, path) { */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); - return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(result, symbolsFunc(object)); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); @@ -6509,19 +6483,19 @@ function baseGetAllKeys(object, keysFunc, symbolsFunc) { /***/ }), -/***/ 74765: +/***/ 91312: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseIteratee) + c: () => (/* binding */ _baseIteratee) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js /** * A specialized version of `_.some` for arrays without support for iteratee @@ -6548,7 +6522,7 @@ function arraySome(array, predicate) { /* harmony default export */ const _arraySome = (arraySome); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js @@ -6587,7 +6561,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { } var index = -1, result = true, - seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.Z : undefined; + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; stack.set(array, other); stack.set(other, array); @@ -6612,7 +6586,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { // Recursively compare arrays (susceptible to call stack limits). if (seen) { if (!_arraySome(other, function(othValue, othIndex) { - if (!(0,_cacheHas/* default */.Z)(seen, othIndex) && + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { return seen.push(othIndex); } @@ -6636,11 +6610,11 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalArrays = (equalArrays); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js -var _Uint8Array = __webpack_require__(84073); +var _Uint8Array = __webpack_require__(91392); // EXTERNAL MODULE: ./node_modules/lodash-es/eq.js -var eq = __webpack_require__(79651); +var eq = __webpack_require__(73048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js /** * Converts `map` to its key-value pairs. @@ -6662,7 +6636,7 @@ function mapToArray(map) { /* harmony default export */ const _mapToArray = (mapToArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js @@ -6690,7 +6664,7 @@ var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]'; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -6722,7 +6696,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case arrayBufferTag: if ((object.byteLength != other.byteLength) || - !equalFunc(new _Uint8Array/* default */.Z(object), new _Uint8Array/* default */.Z(other))) { + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { return false; } return true; @@ -6732,7 +6706,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case numberTag: // Coerce booleans to `1` or `0` and dates to milliseconds. // Invalid dates are coerced to `NaN`. - return (0,eq/* default */.Z)(+object, +other); + return (0,eq/* default */.c)(+object, +other); case errorTag: return object.name == other.name && object.message == other.message; @@ -6749,7 +6723,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case setTag: var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; - convert || (convert = _setToArray/* default */.Z); + convert || (convert = _setToArray/* default */.c); if (object.size != other.size && !isPartial) { return false; @@ -6778,7 +6752,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalByTag = (equalByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js @@ -6806,9 +6780,9 @@ var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; */ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, - objProps = (0,_getAllKeys/* default */.Z)(object), + objProps = (0,_getAllKeys/* default */.c)(object), objLength = objProps.length, - othProps = (0,_getAllKeys/* default */.Z)(other), + othProps = (0,_getAllKeys/* default */.c)(other), othLength = othProps.length; if (objLength != othLength && !isPartial) { @@ -6872,13 +6846,13 @@ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalObjects = (equalObjects); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules -var isTypedArray = __webpack_require__(18843); +var isTypedArray = __webpack_require__(93416); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js @@ -6918,10 +6892,10 @@ var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnPropert * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. */ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { - var objIsArr = (0,isArray/* default */.Z)(object), - othIsArr = (0,isArray/* default */.Z)(other), - objTag = objIsArr ? arrayTag : (0,_getTag/* default */.Z)(object), - othTag = othIsArr ? arrayTag : (0,_getTag/* default */.Z)(other); + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); objTag = objTag == argsTag ? objectTag : objTag; othTag = othTag == argsTag ? objectTag : othTag; @@ -6930,16 +6904,16 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { othIsObj = othTag == objectTag, isSameTag = objTag == othTag; - if (isSameTag && (0,isBuffer/* default */.Z)(object)) { - if (!(0,isBuffer/* default */.Z)(other)) { + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { return false; } objIsArr = true; objIsObj = false; } if (isSameTag && !objIsObj) { - stack || (stack = new _Stack/* default */.Z); - return (objIsArr || (0,isTypedArray/* default */.Z)(object)) + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); } @@ -6951,21 +6925,21 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other; - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); } } if (!isSameTag) { return false; } - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); } /* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js @@ -6988,7 +6962,7 @@ function baseIsEqual(value, other, bitmask, customizer, stack) { if (value === other) { return true; } - if (value == null || other == null || (!(0,isObjectLike/* default */.Z)(value) && !(0,isObjectLike/* default */.Z)(other))) { + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { return value !== value && other !== other; } return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); @@ -7043,7 +7017,7 @@ function baseIsMatch(object, source, matchData, customizer) { return false; } } else { - var stack = new _Stack/* default */.Z; + var stack = new _Stack/* default */.c; if (customizer) { var result = customizer(objValue, srcValue, key, object, source, stack); } @@ -7061,7 +7035,7 @@ function baseIsMatch(object, source, matchData, customizer) { /* harmony default export */ const _baseIsMatch = (baseIsMatch); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js @@ -7074,13 +7048,13 @@ var isObject = __webpack_require__(77226); * equality comparisons, else `false`. */ function isStrictComparable(value) { - return value === value && !(0,isObject/* default */.Z)(value); + return value === value && !(0,isObject/* default */.c)(value); } /* harmony default export */ const _isStrictComparable = (isStrictComparable); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js @@ -7093,7 +7067,7 @@ var keys = __webpack_require__(17179); * @returns {Array} Returns the match data of `object`. */ function getMatchData(object) { - var result = (0,keys/* default */.Z)(object), + var result = (0,keys/* default */.c)(object), length = result.length; while (length--) { @@ -7154,7 +7128,7 @@ function baseMatches(source) { /* harmony default export */ const _baseMatches = (baseMatches); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); ;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js @@ -7184,18 +7158,18 @@ var _baseGet = __webpack_require__(13317); * // => 'default' */ function get(object, path, defaultValue) { - var result = object == null ? undefined : (0,_baseGet/* default */.Z)(object, path); + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); return result === undefined ? defaultValue : result; } /* harmony default export */ const lodash_es_get = (get); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js @@ -7218,13 +7192,13 @@ var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, * @returns {Function} Returns the new spec function. */ function baseMatchesProperty(path, srcValue) { - if ((0,_isKey/* default */.Z)(path) && _isStrictComparable(srcValue)) { - return _matchesStrictComparable((0,_toKey/* default */.Z)(path), srcValue); + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); } return function(object) { var objValue = lodash_es_get(object, path); return (objValue === undefined && objValue === srcValue) - ? (0,hasIn/* default */.Z)(object, path) + ? (0,hasIn/* default */.c)(object, path) : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); }; } @@ -7232,9 +7206,9 @@ function baseMatchesProperty(path, srcValue) { /* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js @@ -7247,7 +7221,7 @@ var _baseProperty = __webpack_require__(54193); */ function basePropertyDeep(path) { return function(object) { - return (0,_baseGet/* default */.Z)(object, path); + return (0,_baseGet/* default */.c)(object, path); }; } @@ -7282,7 +7256,7 @@ function basePropertyDeep(path) { * // => [1, 2] */ function property(path) { - return (0,_isKey/* default */.Z)(path) ? (0,_baseProperty/* default */.Z)((0,_toKey/* default */.Z)(path)) : _basePropertyDeep(path); + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); } /* harmony default export */ const lodash_es_property = (property); @@ -7308,10 +7282,10 @@ function baseIteratee(value) { return value; } if (value == null) { - return identity/* default */.Z; + return identity/* default */.c; } if (typeof value == 'object') { - return (0,isArray/* default */.Z)(value) + return (0,isArray/* default */.c)(value) ? _baseMatchesProperty(value[0], value[1]) : _baseMatches(value); } @@ -7323,14 +7297,14 @@ function baseIteratee(value) { /***/ }), -/***/ 21018: +/***/ 90360: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(49811); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(92816); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -7344,9 +7318,9 @@ function baseIteratee(value) { */ function baseMap(collection, iteratee) { var index = -1, - result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? Array(collection.length) : []; + result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? Array(collection.length) : []; - (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(collection, function(value, key, collection) { + (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(collection, function(value, key, collection) { result[++index] = iteratee(value, key, collection); }); return result; @@ -7357,11 +7331,11 @@ function baseMap(collection, iteratee) { /***/ }), -/***/ 54193: +/***/ 60472: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.property` without support for deep paths. @@ -7381,11 +7355,11 @@ function baseProperty(key) { /***/ }), -/***/ 59548: +/***/ 5960: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if a `cache` value for `key` exists. @@ -7404,13 +7378,13 @@ function cacheHas(cache, key) { /***/ }), -/***/ 68882: +/***/ 12176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69203); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); /** @@ -7421,7 +7395,7 @@ function cacheHas(cache, key) { * @returns {Function} Returns cast function. */ function castFunction(value) { - return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z; + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); @@ -7429,21 +7403,21 @@ function castFunction(value) { /***/ }), -/***/ 22823: +/***/ 58356: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _castPath) + c: () => (/* binding */ _castPath) }); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js -var memoize = __webpack_require__(42454); +var memoize = __webpack_require__(30528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js @@ -7459,7 +7433,7 @@ var MAX_MEMOIZE_SIZE = 500; * @returns {Function} Returns the new memoized function. */ function memoizeCapped(func) { - var result = (0,memoize/* default */.Z)(func, function(key) { + var result = (0,memoize/* default */.c)(func, function(key) { if (cache.size === MAX_MEMOIZE_SIZE) { cache.clear(); } @@ -7502,7 +7476,7 @@ var stringToPath = _memoizeCapped(function(string) { /* harmony default export */ const _stringToPath = (stringToPath); // EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules -var lodash_es_toString = __webpack_require__(50751); +var lodash_es_toString = __webpack_require__(68019); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js @@ -7518,10 +7492,10 @@ var lodash_es_toString = __webpack_require__(50751); * @returns {Array} Returns the cast property path array. */ function castPath(value, object) { - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { return value; } - return (0,_isKey/* default */.Z)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.Z)(value)); + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); } /* harmony default export */ const _castPath = (castPath); @@ -7529,15 +7503,15 @@ function castPath(value, object) { /***/ }), -/***/ 1808: +/***/ 22980: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(63327); -/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95695); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -7550,7 +7524,7 @@ function castPath(value, object) { * @returns {Array} Returns the array of property names and symbols. */ function getAllKeys(object) { - return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z); + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); @@ -7558,14 +7532,14 @@ function getAllKeys(object) { /***/ }), -/***/ 95695: +/***/ 10772: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(68774); -/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(60532); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); @@ -7585,12 +7559,12 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z : function(object) { +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { if (object == null) { return []; } object = Object(object); - return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(nativeGetSymbols(object), function(symbol) { + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { return propertyIsEnumerable.call(object, symbol); }); }; @@ -7600,18 +7574,18 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ /***/ }), -/***/ 16174: +/***/ 18872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(29169); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27771); -/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(56009); -/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(1656); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -7629,14 +7603,14 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ * @returns {boolean} Returns `true` if `path` exists, else `false`. */ function hasPath(object, path, hasFunc) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = -1, length = path.length, result = false; while (++index < length) { - var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index]); + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); if (!(result = object != null && hasFunc(object, key))) { break; } @@ -7646,8 +7620,8 @@ function hasPath(object, path, hasFunc) { return result; } length = object == null ? 0 : object.length; - return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(key, length) && - ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .Z)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .Z)(object)); + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); @@ -7655,14 +7629,14 @@ function hasPath(object, path, hasFunc) { /***/ }), -/***/ 99365: +/***/ 27544: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72714); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); @@ -7679,12 +7653,12 @@ var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, * @returns {boolean} Returns `true` if `value` is a property name, else `false`. */ function isKey(value, object) { - if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return false; } var type = typeof value; if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value)) { + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { return true; } return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || @@ -7696,11 +7670,11 @@ function isKey(value, object) { /***/ }), -/***/ 6545: +/***/ 68872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Converts `set` to an array of its values. @@ -7724,13 +7698,13 @@ function setToArray(set) { /***/ }), -/***/ 62281: +/***/ 32128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(72714); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); /** Used as references for various `Number` constants. */ @@ -7744,7 +7718,7 @@ var INFINITY = 1 / 0; * @returns {string|symbol} Returns the key. */ function toKey(value) { - if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return value; } var result = (value + ''); @@ -7756,16 +7730,63 @@ function toKey(value) { /***/ }), -/***/ 3688: +/***/ 77784: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69581); -/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(79651); -/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(50439); -/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32957); +/* harmony import */ var _baseClone_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(48492); + + +/** Used to compose bitmasks for cloning. */ +var CLONE_SYMBOLS_FLAG = 4; + +/** + * Creates a shallow clone of `value`. + * + * **Note:** This method is loosely based on the + * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) + * and supports cloning arrays, array buffers, booleans, date objects, maps, + * numbers, `Object` objects, regexes, sets, strings, symbols, and typed + * arrays. The own enumerable properties of `arguments` objects are cloned + * as plain objects. An empty object is returned for uncloneable values such + * as error objects, functions, DOM nodes, and WeakMaps. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Lang + * @param {*} value The value to clone. + * @returns {*} Returns the cloned value. + * @see _.cloneDeep + * @example + * + * var objects = [{ 'a': 1 }, { 'b': 2 }]; + * + * var shallow = _.clone(objects); + * console.log(shallow[0] === objects[0]); + * // => true + */ +function clone(value) { + return (0,_baseClone_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value, CLONE_SYMBOLS_FLAG); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (clone); + + +/***/ }), + +/***/ 12804: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(34880); +/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(73048); +/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(15552); +/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(97000); @@ -7798,20 +7819,20 @@ var hasOwnProperty = objectProto.hasOwnProperty; * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 }); * // => { 'a': 1, 'b': 2 } */ -var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(function(object, sources) { +var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(function(object, sources) { object = Object(object); var index = -1; var length = sources.length; var guard = length > 2 ? sources[2] : undefined; - if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(sources[0], sources[1], guard)) { + if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(sources[0], sources[1], guard)) { length = 1; } while (++index < length) { var source = sources[index]; - var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(source); + var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(source); var propsIndex = -1; var propsLength = props.length; @@ -7820,7 +7841,7 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) var value = object[key]; if (value === undefined || - ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { + ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { object[key] = source[key]; } } @@ -7834,19 +7855,19 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) /***/ }), -/***/ 13445: +/***/ 55720: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_filter) + c: () => (/* binding */ lodash_es_filter) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js -var _arrayFilter = __webpack_require__(68774); +var _arrayFilter = __webpack_require__(46091); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js @@ -7860,7 +7881,7 @@ var _baseEach = __webpack_require__(49811); */ function baseFilter(collection, predicate) { var result = []; - (0,_baseEach/* default */.Z)(collection, function(value, index, collection) { + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { if (predicate(value, index, collection)) { result.push(value); } @@ -7871,9 +7892,9 @@ function baseFilter(collection, predicate) { /* harmony default export */ const _baseFilter = (baseFilter); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js @@ -7922,8 +7943,8 @@ var isArray = __webpack_require__(27771); * // => objects for ['fred', 'barney'] */ function filter(collection, predicate) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayFilter/* default */.Z : _baseFilter; - return func(collection, (0,_baseIteratee/* default */.Z)(predicate, 3)); + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); } /* harmony default export */ const lodash_es_filter = (filter); @@ -7931,13 +7952,13 @@ function filter(collection, predicate) { /***/ }), -/***/ 27961: +/***/ 9552: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(10626); +/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(40571); /** @@ -7956,7 +7977,7 @@ function filter(collection, predicate) { */ function flatten(array) { var length = array == null ? 0 : array.length; - return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(array, 1) : []; + return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(array, 1) : []; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (flatten); @@ -7964,16 +7985,16 @@ function flatten(array) { /***/ }), -/***/ 70870: +/***/ 50080: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(76579); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(49811); -/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(68882); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8010,8 +8031,8 @@ function flatten(array) { * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forEach(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); @@ -8019,13 +8040,13 @@ function forEach(collection, iteratee) { /***/ }), -/***/ 17452: +/***/ 7248: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_has) + c: () => (/* binding */ lodash_es_has) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js @@ -8050,7 +8071,7 @@ function baseHas(object, key) { /* harmony default export */ const _baseHas = (baseHas); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js @@ -8083,7 +8104,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function has(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHas); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); } /* harmony default export */ const lodash_es_has = (has); @@ -8091,13 +8112,13 @@ function has(object, path) { /***/ }), -/***/ 75487: +/***/ 73556: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_hasIn) + c: () => (/* binding */ lodash_es_hasIn) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js @@ -8116,7 +8137,7 @@ function baseHasIn(object, key) { /* harmony default export */ const _baseHasIn = (baseHasIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js @@ -8148,7 +8169,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function hasIn(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHasIn); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); } /* harmony default export */ const lodash_es_hasIn = (hasIn); @@ -8156,14 +8177,14 @@ function hasIn(object, path) { /***/ }), -/***/ 72714: +/***/ 46380: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(93589); -/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(18533); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); @@ -8189,7 +8210,7 @@ var symbolTag = '[object Symbol]'; */ function isSymbol(value) { return typeof value == 'symbol' || - ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value) == symbolTag); + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); @@ -8197,11 +8218,11 @@ function isSymbol(value) { /***/ }), -/***/ 49360: +/***/ 60372: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if `value` is `undefined`. @@ -8229,15 +8250,15 @@ function isUndefined(value) { /***/ }), -/***/ 17179: +/***/ 62420: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(87668); -/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(39473); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -8271,7 +8292,7 @@ function isUndefined(value) { * // => ['0', '1'] */ function keys(object) { - return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(object); + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); @@ -8279,16 +8300,16 @@ function keys(object) { /***/ }), -/***/ 43836: +/***/ 92696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(74073); -/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(74765); -/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(21018); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(1304); +/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(91312); +/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(90360); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8337,8 +8358,8 @@ function keys(object) { * // => ['barney', 'fred'] */ function map(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee, 3)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee, 3)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (map); @@ -8346,27 +8367,27 @@ function map(collection, iteratee) { /***/ }), -/***/ 61666: +/***/ 95108: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_pick) + c: () => (/* binding */ lodash_es_pick) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_castPath.js + 2 modules -var _castPath = __webpack_require__(22823); +var _castPath = __webpack_require__(58356); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIndex.js -var _isIndex = __webpack_require__(56009); +var _isIndex = __webpack_require__(748); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSet.js @@ -8385,10 +8406,10 @@ var _toKey = __webpack_require__(62281); * @returns {Object} Returns `object`. */ function baseSet(object, path, value, customizer) { - if (!(0,isObject/* default */.Z)(object)) { + if (!(0,isObject/* default */.c)(object)) { return object; } - path = (0,_castPath/* default */.Z)(path, object); + path = (0,_castPath/* default */.c)(path, object); var index = -1, length = path.length, @@ -8396,7 +8417,7 @@ function baseSet(object, path, value, customizer) { nested = object; while (nested != null && ++index < length) { - var key = (0,_toKey/* default */.Z)(path[index]), + var key = (0,_toKey/* default */.c)(path[index]), newValue = value; if (key === '__proto__' || key === 'constructor' || key === 'prototype') { @@ -8407,12 +8428,12 @@ function baseSet(object, path, value, customizer) { var objValue = nested[key]; newValue = customizer ? customizer(objValue, key, nested) : undefined; if (newValue === undefined) { - newValue = (0,isObject/* default */.Z)(objValue) + newValue = (0,isObject/* default */.c)(objValue) ? objValue - : ((0,_isIndex/* default */.Z)(path[index + 1]) ? [] : {}); + : ((0,_isIndex/* default */.c)(path[index + 1]) ? [] : {}); } } - (0,_assignValue/* default */.Z)(nested, key, newValue); + (0,_assignValue/* default */.c)(nested, key, newValue); nested = nested[key]; } return object; @@ -8441,10 +8462,10 @@ function basePickBy(object, paths, predicate) { while (++index < length) { var path = paths[index], - value = (0,_baseGet/* default */.Z)(object, path); + value = (0,_baseGet/* default */.c)(object, path); if (predicate(value, path)) { - _baseSet(result, (0,_castPath/* default */.Z)(path, object), value); + _baseSet(result, (0,_castPath/* default */.c)(path, object), value); } } return result; @@ -8453,7 +8474,7 @@ function basePickBy(object, paths, predicate) { /* harmony default export */ const _basePickBy = (basePickBy); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePick.js @@ -8469,18 +8490,18 @@ var hasIn = __webpack_require__(75487); */ function basePick(object, paths) { return _basePickBy(object, paths, function(value, path) { - return (0,hasIn/* default */.Z)(object, path); + return (0,hasIn/* default */.c)(object, path); }); } /* harmony default export */ const _basePick = (basePick); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/_overRest.js + 1 modules -var _overRest = __webpack_require__(81211); +var _overRest = __webpack_require__(10648); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToString.js + 2 modules -var _setToString = __webpack_require__(27227); +var _setToString = __webpack_require__(99669); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_flatRest.js @@ -8494,7 +8515,7 @@ var _setToString = __webpack_require__(27227); * @returns {Function} Returns the new function. */ function flatRest(func) { - return (0,_setToString/* default */.Z)((0,_overRest/* default */.Z)(func, undefined, flatten/* default */.Z), func + ''); + return (0,_setToString/* default */.c)((0,_overRest/* default */.c)(func, undefined, flatten/* default */.c), func + ''); } /* harmony default export */ const _flatRest = (flatRest); @@ -8529,13 +8550,13 @@ var pick = _flatRest(function(object, paths) { /***/ }), -/***/ 74379: +/***/ 52264: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_range) + c: () => (/* binding */ lodash_es_range) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseRange.js @@ -8569,9 +8590,9 @@ function baseRange(start, end, step, fromRight) { /* harmony default export */ const _baseRange = (baseRange); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createRange.js @@ -8586,18 +8607,18 @@ var toFinite = __webpack_require__(94099); */ function createRange(fromRight) { return function(start, end, step) { - if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.Z)(start, end, step)) { + if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.c)(start, end, step)) { end = step = undefined; } // Ensure the sign of `-0` is preserved. - start = (0,toFinite/* default */.Z)(start); + start = (0,toFinite/* default */.c)(start); if (end === undefined) { end = start; start = 0; } else { - end = (0,toFinite/* default */.Z)(end); + end = (0,toFinite/* default */.c)(end); } - step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.Z)(step); + step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.c)(step); return _baseRange(start, end, step, fromRight); }; } @@ -8655,13 +8676,13 @@ var range = _createRange(); /***/ }), -/***/ 92344: +/***/ 90460: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_reduce) + c: () => (/* binding */ lodash_es_reduce) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js @@ -8693,9 +8714,9 @@ function arrayReduce(array, iteratee, accumulator, initAccum) { /* harmony default export */ const _arrayReduce = (arrayReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js /** * The base implementation of `_.reduce` and `_.reduceRight`, without support @@ -8722,7 +8743,7 @@ function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { /* harmony default export */ const _baseReduce = (baseReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js @@ -8768,10 +8789,10 @@ var isArray = __webpack_require__(27771); * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) */ function reduce(collection, iteratee, accumulator) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayReduce : _baseReduce, + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, initAccum = arguments.length < 3; - return func(collection, (0,_baseIteratee/* default */.Z)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.Z); + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); } /* harmony default export */ const lodash_es_reduce = (reduce); @@ -8779,11 +8800,11 @@ function reduce(collection, iteratee, accumulator) { /***/ }), -/***/ 60532: +/***/ 41716: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * This method returns a new empty array. @@ -8812,13 +8833,13 @@ function stubArray() { /***/ }), -/***/ 94099: +/***/ 92400: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toFinite) + c: () => (/* binding */ lodash_es_toFinite) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_trimmedEndIndex.js @@ -8864,9 +8885,9 @@ function baseTrim(string) { /* harmony default export */ const _baseTrim = (baseTrim); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toNumber.js @@ -8914,12 +8935,12 @@ function toNumber(value) { if (typeof value == 'number') { return value; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return NAN; } - if ((0,isObject/* default */.Z)(value)) { + if ((0,isObject/* default */.c)(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = (0,isObject/* default */.Z)(other) ? (other + '') : other; + value = (0,isObject/* default */.c)(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; @@ -8980,23 +9001,23 @@ function toFinite(value) { /***/ }), -/***/ 50751: +/***/ 68019: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toString) + c: () => (/* binding */ lodash_es_toString) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js @@ -9007,7 +9028,7 @@ var isSymbol = __webpack_require__(72714); var INFINITY = 1 / 0; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolToString = symbolProto ? symbolProto.toString : undefined; /** @@ -9023,11 +9044,11 @@ function baseToString(value) { if (typeof value == 'string') { return value; } - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { // Recursively convert values (susceptible to call stack limits). - return (0,_arrayMap/* default */.Z)(value, baseToString) + ''; + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return symbolToString ? symbolToString.call(value) : ''; } var result = (value + ''); @@ -9069,13 +9090,13 @@ function toString_toString(value) { /***/ }), -/***/ 66749: +/***/ 41696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50751); +/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(68019); /** Used to generate unique IDs. */ @@ -9100,7 +9121,7 @@ var idCounter = 0; */ function uniqueId(prefix) { var id = ++idCounter; - return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(prefix) + id; + return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(prefix) + id; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (uniqueId); @@ -9108,17 +9129,17 @@ function uniqueId(prefix) { /***/ }), -/***/ 34148: +/***/ 36: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_values) + c: () => (/* binding */ lodash_es_values) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js @@ -9133,7 +9154,7 @@ var _arrayMap = __webpack_require__(74073); * @returns {Object} Returns the array of property values. */ function baseValues(object, props) { - return (0,_arrayMap/* default */.Z)(props, function(key) { + return (0,_arrayMap/* default */.c)(props, function(key) { return object[key]; }); } @@ -9141,7 +9162,7 @@ function baseValues(object, props) { /* harmony default export */ const _baseValues = (baseValues); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js @@ -9173,7 +9194,7 @@ var keys = __webpack_require__(17179); * // => ['h', 'i'] */ function values(object) { - return object == null ? [] : _baseValues(object, (0,keys/* default */.Z)(object)); + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); } /* harmony default export */ const lodash_es_values = (values); @@ -9181,7 +9202,7 @@ function values(object) { /***/ }), -/***/ 76562: +/***/ 73748: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { @@ -9206,8 +9227,8 @@ __webpack_require__.d(constructs_namespaceObject, { text: () => (constructs_text) }); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); ;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js /** * @typedef {import('mdast').Root|import('mdast').Content} Node @@ -21815,14 +21836,14 @@ function defaultOnError(left, right) { } // EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js -var esm = __webpack_require__(18464); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-a48a4c90.js +var esm = __webpack_require__(71408); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-423428c9.js function preprocessMarkdown(markdown) { const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); - const withoutExtraSpaces = (0,esm/* dedent */.Z)(withoutMultipleNewlines); + const withoutExtraSpaces = (0,esm/* dedent */.s)(withoutMultipleNewlines); return withoutExtraSpaces; } function markdownToLines(markdown) { @@ -22044,12 +22065,12 @@ const createText = (el, text = "", { width = 200, addSvgBackground = false } = {}) => { - mermaid_04fb0060.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); + mermaid_0603ccf8.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); if (useHtmlLabels) { const htmlText = markdownToHTML(text); const node = { isNode, - label: (0,mermaid_04fb0060.J)(htmlText).replace( + label: (0,mermaid_0603ccf8.J)(htmlText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ), @@ -22068,7 +22089,7 @@ const createText = (el, text = "", { /***/ }), -/***/ 52494: +/***/ 79680: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -22078,19 +22099,20 @@ const createText = (el, text = "", { /* harmony export */ d: () => (/* binding */ clear), /* harmony export */ e: () => (/* binding */ insertNode), /* harmony export */ f: () => (/* binding */ insertEdgeLabel), -/* harmony export */ g: () => (/* binding */ insertEdge), -/* harmony export */ h: () => (/* binding */ positionEdgeLabel), +/* harmony export */ g: () => (/* binding */ getSubGraphTitleMargins), +/* harmony export */ h: () => (/* binding */ insertEdge), /* harmony export */ i: () => (/* binding */ intersectRect$1), -/* harmony export */ j: () => (/* binding */ getLineFunctionsWithOffset), -/* harmony export */ k: () => (/* binding */ addEdgeMarkers), +/* harmony export */ j: () => (/* binding */ positionEdgeLabel), +/* harmony export */ k: () => (/* binding */ getLineFunctionsWithOffset), /* harmony export */ l: () => (/* binding */ labelHelper), +/* harmony export */ m: () => (/* binding */ addEdgeMarkers), /* harmony export */ p: () => (/* binding */ positionNode), /* harmony export */ s: () => (/* binding */ setNodeElem), /* harmony export */ u: () => (/* binding */ updateNodeBounds) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(76562); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(73748); @@ -22100,7 +22122,7 @@ const insertMarkers = (elem, markerArray, type, id) => { }); }; const extension = (elem, type, id) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionStart").attr("class", "marker extension " + type).attr("refX", 18).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 1,7 L18,13 V 1 Z"); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionEnd").attr("class", "marker extension " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 1,1 V 13 L18,7 Z"); }; @@ -22153,7 +22175,7 @@ function applyStyle(dom, styleFn) { } } function addHtmlLabel(node) { - const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); + const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); const div = fo.append("xhtml:div"); const label = node.label; const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; @@ -22171,12 +22193,12 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { if (typeof vertexText === "object") { vertexText = vertexText[0]; } - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { vertexText = vertexText.replace(/\\n|\n/g, "
"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("vertexText" + vertexText); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("vertexText" + vertexText); const node = { isNode, - label: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( + label: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ), @@ -22214,7 +22236,7 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { const createLabel$1 = createLabel; const labelHelper = async (parent, node, _classes, isNode) => { let classes; - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); if (!_classes) { classes = "node default"; } else { @@ -22231,15 +22253,15 @@ const labelHelper = async (parent, node, _classes, isNode) => { const textNode = label.node(); let text; if (node.labelType === "markdown") { - text = (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { + text = (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { useHtmlLabels, - width: node.width || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, + width: node.width || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, classes: "markdown-node-label" }); } else { text = textNode.appendChild( createLabel$1( - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), node.labelStyle, false, isNode @@ -22248,9 +22270,9 @@ const labelHelper = async (parent, node, _classes, isNode) => { } let bbox = text.getBBox(); const halfPadding = node.padding / 2; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); const images = div.getElementsByTagName("img"); if (images) { const noImgText = labelText.replace(/]*>/g, "").trim() === ""; @@ -22261,7 +22283,7 @@ const labelHelper = async (parent, node, _classes, isNode) => { img.style.display = "flex"; img.style.flexDirection = "column"; if (noImgText) { - const bodyFontSize = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; + const bodyFontSize = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; const enlargingFactor = 5; const width = parseInt(bodyFontSize, 10) * enlargingFactor + "px"; img.style.minWidth = width; @@ -22445,7 +22467,7 @@ const intersect = { rect: intersectRect$1 }; const note = async (parent, node) => { - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; if (!useHtmlLabels) { node.centerLabel = true; } @@ -22455,7 +22477,7 @@ const note = async (parent, node) => { "node " + node.classes, true ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); const rect2 = shapeSvg.insert("rect", ":first-child"); rect2.attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); updateNodeBounds(node, rect2); @@ -22465,6 +22487,208 @@ const note = async (parent, node) => { return shapeSvg; }; const note$1 = note; +const expandAndDeduplicateDirections = (directions) => { + const uniqueDirections = /* @__PURE__ */ new Set(); + for (const direction of directions) { + switch (direction) { + case "x": + uniqueDirections.add("right"); + uniqueDirections.add("left"); + break; + case "y": + uniqueDirections.add("up"); + uniqueDirections.add("down"); + break; + default: + uniqueDirections.add(direction); + break; + } + } + return uniqueDirections; +}; +const getArrowPoints = (duplicatedDirections, bbox, node) => { + const directions = expandAndDeduplicateDirections(duplicatedDirections); + const f = 2; + const height = bbox.height + 2 * node.padding; + const midpoint = height / f; + const width = bbox.width + 2 * midpoint + node.padding; + const padding = node.padding / 2; + if (directions.has("right") && directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + // Bottom + { x: 0, y: 0 }, + { x: midpoint, y: 0 }, + { x: width / 2, y: 2 * padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: 0 }, + // Right + { x: width, y: -height / 3 }, + { x: width + 2 * padding, y: -height / 2 }, + { x: width, y: -2 * height / 3 }, + { x: width, y: -height }, + // Top + { x: width - midpoint, y: -height }, + { x: width / 2, y: -height - 2 * padding }, + { x: midpoint, y: -height }, + // Left + { x: 0, y: -height }, + { x: 0, y: -2 * height / 3 }, + { x: -2 * padding, y: -height / 2 }, + { x: 0, y: -height / 3 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("up")) { + return [ + { x: midpoint, y: 0 }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: midpoint, y: -height }, + { x: width - midpoint, y: -height }, + { x: width, y: 0 } + ]; + } + if (directions.has("right") && directions.has("up") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: width, y: -height + midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: 0, y: -height + midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("right") && directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up") && directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + if (directions.has("right") && directions.has("up")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("right") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: 0 }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("left") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: 0 }, + { x: width, y: -height } + ]; + } + if (directions.has("right")) { + return [ + { x: midpoint, y: -padding }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + // top left corner of arrow + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding } + ]; + } + if (directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + // Two points, the right corners + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up")) { + return [ + // Bottom center + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding } + ]; + } + if (directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + return [{ x: 0, y: 0 }]; +}; const formatClass = (str) => { if (str) { return " " + str; @@ -22492,12 +22716,12 @@ const question = async (parent, node) => { { x: s / 2, y: -s }, { x: 0, y: -s / 2 } ]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); const questionElem = insertPolygonShape(shapeSvg, s, s, points); questionElem.attr("style", node.style); updateNodeBounds(node, questionElem); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); return intersect.polygon(node, points, point2); }; return shapeSvg; @@ -22552,6 +22776,21 @@ const hexagon = async (parent, node) => { }; return shapeSvg; }; +const block_arrow = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper(parent, node, void 0, true); + const f = 2; + const h = bbox.height + 2 * node.padding; + const m = h / f; + const w = bbox.width + 2 * m + node.padding; + const points = getArrowPoints(node.directions, bbox, node); + const blockArrow = insertPolygonShape(shapeSvg, w, h, points); + blockArrow.attr("style", node.style); + updateNodeBounds(node, blockArrow); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; const rect_left_inv_arrow = async (parent, node) => { const { shapeSvg, bbox } = await labelHelper( parent, @@ -22728,9 +22967,40 @@ const rect = async (parent, node) => { true ); const rect2 = shapeSvg.insert("rect", ":first-child"); - const totalWidth = bbox.width + node.padding; - const totalHeight = bbox.height + node.padding; - rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", totalWidth).attr("height", totalHeight); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); + if (node.props) { + const propKeys = new Set(Object.keys(node.props)); + if (node.props.borders) { + applyNodePropertyBorders(rect2, node.props.borders, totalWidth, totalHeight); + propKeys.delete("borders"); + } + propKeys.forEach((propKey) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + }); + } + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const composite = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + "node " + node.classes, + true + ); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic cluster composite label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); if (node.props) { const propKeys = new Set(Object.keys(node.props)); if (node.props.borders) { @@ -22738,7 +23008,7 @@ const rect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -22749,7 +23019,7 @@ const rect = async (parent, node) => { }; const labelRect = async (parent, node) => { const { shapeSvg } = await labelHelper(parent, node, "label", true); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); const rect2 = shapeSvg.insert("rect", ":first-child"); const totalWidth = 0; const totalHeight = 0; @@ -22762,7 +23032,7 @@ const labelRect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -22780,25 +23050,25 @@ function applyNodePropertyBorders(rect2, borders, totalWidth, totalHeight) { strokeDashArray.push(0, length); }; if (borders.includes("t")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("r")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); addBorder(totalHeight); } else { skipBorder(totalHeight); } if (borders.includes("b")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("l")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); addBorder(totalHeight); } else { skipBorder(totalHeight); @@ -22823,36 +23093,36 @@ const rectWithTitle = (parent, node) => { } else { title = text2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); const text = label.node().appendChild(createLabel$1(title, node.labelStyle, true, true)); let bbox = { width: 0, height: 0 }; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); const textRows = text2.slice(1, text2.length); let titleBox = text.getBBox(); const descr = label.node().appendChild( createLabel$1(textRows.join ? textRows.join("
") : textRows, node.labelStyle, true, true) ); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = descr.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } const halfPadding = node.padding / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width > titleBox.width ? 0 : (titleBox.width - bbox.width) / 2) + ", " + (titleBox.height + halfPadding + 5) + ")" ); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width < titleBox.width ? 0 : -(titleBox.width - bbox.width) / 2) + ", 0)" @@ -22895,10 +23165,10 @@ const circle = async (parent, node) => { ); const circle2 = shapeSvg.insert("circle", ":first-child"); circle2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); updateNodeBounds(node, circle2); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); return intersect.circle(node, bbox.width / 2 + halfPadding, point2); }; return shapeSvg; @@ -22917,10 +23187,10 @@ const doublecircle = async (parent, node) => { circleGroup.attr("class", node.class); outerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding + gap).attr("width", bbox.width + node.padding + gap * 2).attr("height", bbox.height + node.padding + gap * 2); innerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); updateNodeBounds(node, outerCircle); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); return intersect.circle(node, bbox.width / 2 + halfPadding + gap, point2); }; return shapeSvg; @@ -23015,9 +23285,9 @@ const class_box = (parent, node) => { const interfaceLabelText = node.classData.annotations[0] ? "«" + node.classData.annotations[0] + "»" : ""; const interfaceLabel = labelContainer.node().appendChild(createLabel$1(interfaceLabelText, node.labelStyle, true, true)); let interfaceBBox = interfaceLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = interfaceLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel); interfaceBBox = div.getBoundingClientRect(); dv.attr("width", interfaceBBox.width); dv.attr("height", interfaceBBox.height); @@ -23028,18 +23298,18 @@ const class_box = (parent, node) => { } let classTitleString = node.classData.label; if (node.classData.type !== void 0 && node.classData.type !== "") { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { classTitleString += "<" + node.classData.type + ">"; } else { classTitleString += "<" + node.classData.type + ">"; } } const classTitleLabel = labelContainer.node().appendChild(createLabel$1(classTitleString, node.labelStyle, true, true)); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr("class", "classTitle"); + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr("class", "classTitle"); let classTitleBBox = classTitleLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = classTitleLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel); classTitleBBox = div.getBoundingClientRect(); dv.attr("width", classTitleBBox.width); dv.attr("height", classTitleBBox.height); @@ -23052,7 +23322,7 @@ const class_box = (parent, node) => { node.classData.members.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let parsedText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { parsedText = parsedText.replace(//g, ">"); } const lbl = labelContainer.node().appendChild( @@ -23064,9 +23334,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23082,7 +23352,7 @@ const class_box = (parent, node) => { node.classData.methods.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let displayText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { displayText = displayText.replace(//g, ">"); } const lbl = labelContainer.node().appendChild( @@ -23094,9 +23364,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23110,14 +23380,14 @@ const class_box = (parent, node) => { maxHeight += lineHeight; if (hasInterface) { let diffX2 = (maxWidth - interfaceBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX2) + ", " + -1 * maxHeight / 2 + ")" ); verticalPos = interfaceBBox.height + rowPadding; } let diffX = (maxWidth - classTitleBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX) + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -23125,7 +23395,7 @@ const class_box = (parent, node) => { topLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classAttributes.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos + lineHeight / 2) + ")" ); @@ -23136,7 +23406,7 @@ const class_box = (parent, node) => { bottomLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classMethods.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -23152,6 +23422,7 @@ const class_box = (parent, node) => { }; const shapes = { rhombus: question, + composite, question, rect, labelRect, @@ -23161,6 +23432,7 @@ const shapes = { doublecircle, stadium, hexagon, + block_arrow, rect_left_inv_arrow, lean_right, lean_left, @@ -23182,7 +23454,7 @@ const insertNode = async (elem, node, dir) => { let el; if (node.link) { let target; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { target = "_top"; } else if (node.linkTarget) { target = node.linkTarget || "_blank"; @@ -23199,6 +23471,8 @@ const insertNode = async (elem, node, dir) => { if (node.class) { el.attr("class", "node default " + node.class); } + newEl.attr("data-node", "true"); + newEl.attr("data-id", node.id); nodeElems[node.id] = newEl; if (node.haveCallback) { nodeElems[node.id].attr("class", nodeElems[node.id].attr("class") + " clickable"); @@ -23213,7 +23487,7 @@ const clear$1 = () => { }; const positionNode = (node) => { const el = nodeElems[node.id]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( "Transforming node", node.diff, node, @@ -23231,6 +23505,19 @@ const positionNode = (node) => { } return diff; }; +const getSubGraphTitleMargins = ({ + flowchart +}) => { + var _a, _b; + const subGraphTitleTopMargin = ((_a = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _a.top) ?? 0; + const subGraphTitleBottomMargin = ((_b = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _b.bottom) ?? 0; + const subGraphTitleTotalMargin = subGraphTitleTopMargin + subGraphTitleBottomMargin; + return { + subGraphTitleTopMargin, + subGraphTitleBottomMargin, + subGraphTitleTotalMargin + }; +}; const markerOffsets = { aggregation: 18, extension: 18, @@ -23311,7 +23598,7 @@ const arrowTypesMap = { const addEdgeMarker = (svgPath, position, arrowType, url, id, diagramType) => { const endMarkerType = arrowTypesMap[arrowType]; if (!endMarkerType) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); return; } const suffix = position === "start" ? "Start" : "End"; @@ -23324,20 +23611,19 @@ const clear = () => { terminalLabels = {}; }; const insertEdgeLabel = (elem, edge) => { - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); - const labelElement = edge.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const labelElement = edge.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { style: edge.labelStyle, useHtmlLabels, addSvgBackground: true }) : createLabel$1(edge.label, edge.labelStyle); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc82", edge, edge.labelType); const edgeLabel = elem.insert("g").attr("class", "edgeLabel"); const label = edgeLabel.insert("g").attr("class", "label"); label.node().appendChild(labelElement); let bbox = labelElement.getBBox(); if (useHtmlLabels) { const div = labelElement.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(labelElement); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(labelElement); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23405,21 +23691,23 @@ const insertEdgeLabel = (elem, edge) => { return labelElement; }; function setTerminalWidth(fo, value) { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { fo.style.width = value.length * 9 + "px"; fo.style.height = "12px"; } } const positionEdgeLabel = (edge, paths) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Moving label abc78 ", edge.id, edge.label, edgeLabels[edge.id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Moving label abc88 ", edge.id, edge.label, edgeLabels[edge.id], paths); let path = paths.updatedPath ? paths.updatedPath : paths.originalPath; + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const { subGraphTitleTotalMargin } = getSubGraphTitleMargins(siteConfig); if (edge.label) { const el = edgeLabels[edge.id]; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug( "Moving label " + edge.label + " from (", x, ",", @@ -23428,32 +23716,32 @@ const positionEdgeLabel = (edge, paths) => { pos.x, ",", pos.y, - ") abc78" + ") abc88" ); if (paths.updatedPath) { x = pos.x; y = pos.y; } } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y + subGraphTitleTotalMargin / 2})`); } if (edge.startLabelLeft) { const el = terminalLabels[edge.id].startLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.startLabelRight) { const el = terminalLabels[edge.id].startRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( edge.arrowTypeStart ? 10 : 0, "start_right", path @@ -23461,29 +23749,29 @@ const positionEdgeLabel = (edge, paths) => { x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelLeft) { const el = terminalLabels[edge.id].endLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelRight) { const el = terminalLabels[edge.id].endRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } }; const outsideNode = (node, point2) => { @@ -23499,7 +23787,7 @@ const outsideNode = (node, point2) => { return false; }; const intersection = (node, outsidePoint, insidePoint) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`intersection calc abc89: + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`intersection calc abc89: outsidePoint: ${JSON.stringify(outsidePoint)} insidePoint : ${JSON.stringify(insidePoint)} node : x:${node.x} y:${node.y} w:${node.width} h:${node.height}`); @@ -23528,7 +23816,7 @@ const intersection = (node, outsidePoint, insidePoint) => { if (Q === 0) { res.y = outsidePoint.y; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); return res; } else { if (insidePoint.x < outsidePoint.x) { @@ -23539,7 +23827,7 @@ const intersection = (node, outsidePoint, insidePoint) => { let q = Q * r / R; let _x = insidePoint.x < outsidePoint.x ? insidePoint.x + R - r : insidePoint.x - R + r; let _y = insidePoint.y < outsidePoint.y ? insidePoint.y + q : insidePoint.y - q; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); if (r === 0) { _x = outsidePoint.x; _y = outsidePoint.y; @@ -23554,71 +23842,58 @@ const intersection = (node, outsidePoint, insidePoint) => { } }; const cutPathAtIntersect = (_points, boundryNode) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 cutPathAtIntersect", _points, boundryNode); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 cutPathAtIntersect", _points, boundryNode); let points = []; let lastPointOutside = _points[0]; let isInside = false; _points.forEach((point2) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 checking point", point2, boundryNode); if (!outsideNode(boundryNode, point2) && !isInside) { const inter = intersection(boundryNode, lastPointOutside, point2); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 inside", point2, lastPointOutside, inter); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 intersection", inter); let pointPresent = false; points.forEach((p) => { pointPresent = pointPresent || p.x === inter.x && p.y === inter.y; }); if (!points.some((e) => e.x === inter.x && e.y === inter.y)) { points.push(inter); - } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 no intersect", inter, points); } isInside = true; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 outside", point2, lastPointOutside); lastPointOutside = point2; if (!isInside) { points.push(point2); } } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 returning points", points); return points; }; const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { let points = edge.points; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 InsertEdge: edge=", edge, "e=", e); let pointsHasChanged = false; const tail = graph.node(e.v); var head = graph.node(e.w); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 InsertEdge: ", edge); - if (head.intersect && tail.intersect) { + if ((head == null ? void 0 : head.intersect) && (tail == null ? void 0 : tail.intersect)) { points = points.slice(1, edge.points.length - 1); points.unshift(tail.intersect(points[0])); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( - "Last point", - points[points.length - 1], - head, - head.intersect(points[points.length - 1]) - ); points.push(head.intersect(points[points.length - 1])); } if (edge.toCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("to cluster abc88", clusterDb[edge.toCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("to cluster abc88", clusterDb[edge.toCluster]); points = cutPathAtIntersect(edge.points, clusterDb[edge.toCluster].node); pointsHasChanged = true; } if (edge.fromCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("from cluster abc88", clusterDb[edge.fromCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("from cluster abc88", clusterDb[edge.fromCluster]); points = cutPathAtIntersect(points.reverse(), clusterDb[edge.fromCluster].node).reverse(); pointsHasChanged = true; } const lineData = points.filter((p) => !Number.isNaN(p.y)); - let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .$0Z; + let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .k7; if (edge.curve && (diagramType === "graph" || diagramType === "flowchart")) { curve = edge.curve; } const { x, y } = getLineFunctionsWithOffset(edge); - const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(x).y(y).curve(curve); + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(x).y(y).curve(curve); let strokeClasses; switch (edge.thickness) { case "normal": @@ -23646,13 +23921,11 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { } const svgPath = elem.append("path").attr("d", lineFunction(lineData)).attr("id", edge.id).attr("class", " " + strokeClasses + (edge.classes ? " " + edge.classes : "")).attr("style", edge.style); let url = ""; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { url = window.location.protocol + "//" + window.location.host + window.location.pathname + window.location.search; url = url.replace(/\(/g, "\\("); url = url.replace(/\)/g, "\\)"); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeStart", edge.arrowTypeStart); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeEnd", edge.arrowTypeEnd); addEdgeMarkers(svgPath, edge, url, id, diagramType); let paths = {}; if (pointsHasChanged) { @@ -23666,7 +23939,7 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { /***/ }), -/***/ 94641: +/***/ 4216: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -23674,8 +23947,8 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { /* harmony export */ f: () => (/* binding */ flowDb), /* harmony export */ p: () => (/* binding */ parser$1) /* harmony export */ }); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); var parser = function() { @@ -24758,7 +25031,7 @@ parser.parser = parser; const parser$1 = parser; const MERMAID_DOM_ID_PREFIX = "flowchart-"; let vertexCounter = 0; -let config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); +let config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); let vertices = {}; let edges = []; let classes = {}; @@ -24770,7 +25043,7 @@ let firstGraphFlag = true; let direction; let version; let funs = []; -const sanitizeText = (txt) => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, config); +const sanitizeText = (txt) => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, config); const lookUpDomId = function(id) { const veritceKeys = Object.keys(vertices); for (const veritceKey of veritceKeys) { @@ -24800,7 +25073,7 @@ const addVertex = function(_id, textObj, type, style, classes2, dir, props = {}) } vertexCounter++; if (textObj !== void 0) { - config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); txt = sanitizeText(textObj.text.trim()); vertices[id].labelType = textObj.type; if (txt[0] === '"' && txt[txt.length - 1] === '"') { @@ -24838,7 +25111,7 @@ const addSingleLink = function(_start, _end, type) { let start = _start; let end = _end; const edge = { start, end, type: void 0, text: "", labelType: "text" }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 Got edge...", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 Got edge...", edge); const linkTextObj = type.text; if (linkTextObj !== void 0) { edge.text = sanitizeText(linkTextObj.text.trim()); @@ -24856,7 +25129,7 @@ const addSingleLink = function(_start, _end, type) { edge.length = 10; } if (edges.length < (config.maxEdges ?? 500)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 pushing edge..."); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 pushing edge..."); edges.push(edge); } else { throw new Error( @@ -24869,7 +25142,7 @@ You have to call mermaid.initialize.` } }; const addLink = function(_start, _end, type) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("addLink (abc78)", _start, _end, type); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("addLink (abc78)", _start, _end, type); let i, j; for (i = 0; i < _start.length; i++) { for (j = 0; j < _end.length; j++) { @@ -24896,7 +25169,7 @@ const updateLink = function(positions, style) { if (pos === "default") { edges.defaultStyle = style; } else { - if (_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.isSubstringInArray("fill", style) === -1) { + if (_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.isSubstringInArray("fill", style) === -1) { style.push("fill:none"); } edges[pos].style = style; @@ -24957,7 +25230,7 @@ const setTooltip = function(ids, tooltip) { }; const setClickFun = function(id, functionName, functionArgs) { let domId = lookUpDomId(id); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel !== "loose") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel !== "loose") { return; } if (functionName === void 0) { @@ -24985,7 +25258,7 @@ const setClickFun = function(id, functionName, functionArgs) { elem.addEventListener( "click", function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); }, false ); @@ -24996,7 +25269,7 @@ const setClickFun = function(id, functionName, functionArgs) { const setLink = function(ids, linkStr, target) { ids.split(",").forEach(function(id) { if (vertices[id] !== void 0) { - vertices[id].link = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); + vertices[id].link = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); vertices[id].linkTarget = target; } }); @@ -25032,14 +25305,14 @@ const getClasses = function() { return classes; }; const setupToolTips = function(element) { - let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(".mermaidTooltip"); + let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(".mermaidTooltip"); if ((tooltipElem._groups || tooltipElem)[0][0] === null) { - tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); + tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); } - const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(element).select("svg"); + const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(element).select("svg"); const nodes = svg.selectAll("g.node"); nodes.on("mouseover", function() { - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); const title = el.attr("title"); if (title === null) { return; @@ -25051,7 +25324,7 @@ const setupToolTips = function(element) { el.classed("hover", true); }).on("mouseout", function() { tooltipElem.transition().duration(500).style("opacity", 0); - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); el.classed("hover", false); }); }; @@ -25067,8 +25340,8 @@ const clear = function(ver = "gen-1") { tooltips = {}; firstGraphFlag = true; version = ver; - config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.t)(); + config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.t)(); }; const setGen = (ver) => { version = ver || "gen-2"; @@ -25123,7 +25396,7 @@ const addSubGraph = function(_id, list, _title) { dir, labelType: _title.type }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Adding", subGraph.id, subGraph.nodes, subGraph.dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Adding", subGraph.id, subGraph.nodes, subGraph.dir); subGraph.nodes = makeUniq(subGraph, subGraphs).nodes; subGraphs.push(subGraph); subGraphLookup[id] = subGraph; @@ -25318,11 +25591,11 @@ const lex = { firstGraph }; const flowDb = { - defaultConfig: () => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.I.flowchart, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.g, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.b, + defaultConfig: () => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.H.flowchart, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.g, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.b, addVertex, lookUpDomId, addLink, @@ -25351,8 +25624,8 @@ const flowDb = { lex, exists, makeUniq, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.r + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.r }; const db = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ __proto__: null, @@ -25390,7 +25663,7 @@ const db = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ /***/ }), -/***/ 11308: +/***/ 95668: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { @@ -25399,24 +25672,24 @@ __webpack_require__.d(__webpack_exports__, { diagram: () => (/* binding */ diagram) }); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/flowDb-f4777d50.js -var flowDb_f4777d50 = __webpack_require__(94641); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/flowDb-d35e309a.js +var flowDb_d35e309a = __webpack_require__(4216); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); +var graphlib = __webpack_require__(95536); // EXTERNAL MODULE: ./node_modules/d3/src/index.js + 197 modules -var src = __webpack_require__(64218); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); +var src = __webpack_require__(37352); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/dagre/index.js + 64 modules -var dagre = __webpack_require__(41644); +var dagre = __webpack_require__(32304); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/dagre-js/util.js -var util = __webpack_require__(96225); +var util = __webpack_require__(14620); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre-js/arrows.js @@ -25449,7 +25722,7 @@ function normal(parent, id, edge, type) { .attr('d', 'M 0 0 L 10 5 L 0 10 z') .style('stroke-width', 1) .style('stroke-dasharray', '1,0'); - util/* applyStyle */.bg(path, edge[type + 'Style']); + util/* applyStyle */.Ce(path, edge[type + 'Style']); if (edge[type + 'Class']) { path.attr('class', edge[type + 'Class']); } @@ -25472,7 +25745,7 @@ function vee(parent, id, edge, type) { .attr('d', 'M 0 0 L 10 5 L 0 10 L 4 5 z') .style('stroke-width', 1) .style('stroke-dasharray', '1,0'); - util/* applyStyle */.bg(path, edge[type + 'Style']); + util/* applyStyle */.Ce(path, edge[type + 'Style']); if (edge[type + 'Class']) { path.attr('class', edge[type + 'Class']); } @@ -25495,14 +25768,14 @@ function undirected(parent, id, edge, type) { .attr('d', 'M 0 5 L 10 5') .style('stroke-width', 1) .style('stroke-dasharray', '1,0'); - util/* applyStyle */.bg(path, edge[type + 'Style']); + util/* applyStyle */.Ce(path, edge[type + 'Style']); if (edge[type + 'Class']) { path.attr('class', edge[type + 'Class']); } } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/dagre-js/label/add-html-label.js -var add_html_label = __webpack_require__(43349); +var add_html_label = __webpack_require__(53128); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre-js/label/add-svg-label.js @@ -25513,7 +25786,7 @@ function addSVGLabel(root, node) { domNode.node().appendChild(node.label); - util/* applyStyle */.bg(domNode, node.labelStyle); + util/* applyStyle */.Ce(domNode, node.labelStyle); return domNode; } @@ -25539,7 +25812,7 @@ function addTextLabel(root, node) { .text(lines[i]); } - util/* applyStyle */.bg(domNode, node.labelStyle); + util/* applyStyle */.Ce(domNode, node.labelStyle); return domNode; } @@ -25584,7 +25857,7 @@ function addLabel(root, node, location) { if (node.labelType === 'svg') { addSVGLabel(labelSvg, node); } else if (typeof label !== 'string' || node.labelType === 'html') { - (0,add_html_label/* addHtmlLabel */.a)(labelSvg, node); + (0,add_html_label/* addHtmlLabel */.m)(labelSvg, node); } else { addTextLabel(labelSvg, node); } @@ -25615,13 +25888,13 @@ function addLabel(root, node, location) { var createClusters = function (selection, g) { var clusters = g.nodes().filter(function (v) { - return util/* isSubgraph */.bF(g, v); + return util/* isSubgraph */.cv(g, v); }); var svgClusters = selection.selectAll('g.cluster').data(clusters, function (v) { return v; }); - util/* applyTransition */.WR(svgClusters.exit(), g).style('opacity', 0).remove(); + util/* applyTransition */.q2(svgClusters.exit(), g).style('opacity', 0).remove(); var enterSelection = svgClusters .enter() @@ -25634,20 +25907,20 @@ var createClusters = function (selection, g) { .style('opacity', 0) .each(function (v) { var node = g.node(v); - var thisGroup = src/* select */.Ys(this); - src/* select */.Ys(this).append('rect'); + var thisGroup = src/* select */.MlD(this); + src/* select */.MlD(this).append('rect'); var labelGroup = thisGroup.append('g').attr('class', 'label'); addLabel(labelGroup, node, node.clusterLabelPos); }); svgClusters = svgClusters.merge(enterSelection); - svgClusters = util/* applyTransition */.WR(svgClusters, g).style('opacity', 1); + svgClusters = util/* applyTransition */.q2(svgClusters, g).style('opacity', 1); svgClusters.selectAll('rect').each(function (c) { var node = g.node(c); - var domCluster = src/* select */.Ys(this); - util/* applyStyle */.bg(domCluster, node.style); + var domCluster = src/* select */.MlD(this); + util/* applyStyle */.Ce(domCluster, node.style); }); return svgClusters; @@ -25669,7 +25942,7 @@ let createEdgeLabels = function (selection, g) { var svgEdgeLabels = selection .selectAll('g.edgeLabel') .data(g.edges(), function (e) { - return util/* edgeToId */.O1(e); + return util/* edgeToId */.q_(e); }) .classed('update', true); @@ -25679,7 +25952,7 @@ let createEdgeLabels = function (selection, g) { svgEdgeLabels = selection.selectAll('g.edgeLabel'); svgEdgeLabels.each(function (e) { - var root = src/* select */.Ys(this); + var root = src/* select */.MlD(this); root.select('.label').remove(); var edge = g.edge(e); var label = addLabel(root, g.edge(e), 0).classed('label', true); @@ -25688,10 +25961,10 @@ let createEdgeLabels = function (selection, g) { if (edge.labelId) { label.attr('id', edge.labelId); } - if (!has/* default */.Z(edge, 'width')) { + if (!has/* default */.c(edge, 'width')) { edge.width = bbox.width; } - if (!has/* default */.Z(edge, 'height')) { + if (!has/* default */.c(edge, 'height')) { edge.height = bbox.height; } }); @@ -25704,7 +25977,7 @@ let createEdgeLabels = function (selection, g) { exitSelection = svgEdgeLabels.selectAll(null); // empty selection } - util/* applyTransition */.WR(exitSelection, g).style('opacity', 0).remove(); + util/* applyTransition */.q2(exitSelection, g).style('opacity', 0).remove(); return svgEdgeLabels; }; @@ -25714,9 +25987,9 @@ function setCreateEdgeLabels(value) { } // EXTERNAL MODULE: ./node_modules/lodash-es/uniqueId.js -var uniqueId = __webpack_require__(66749); +var uniqueId = __webpack_require__(41696); // EXTERNAL MODULE: ./node_modules/lodash-es/range.js + 2 modules -var range = __webpack_require__(74379); +var range = __webpack_require__(52264); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre-js/intersect/intersect-node.js @@ -25736,7 +26009,7 @@ var createEdgePaths = function (selection, g, arrows) { var previousPaths = selection .selectAll('g.edgePath') .data(g.edges(), function (e) { - return util/* edgeToId */.O1(e); + return util/* edgeToId */.q_(e); }) .classed('update', true); @@ -25744,11 +26017,11 @@ var createEdgePaths = function (selection, g, arrows) { exit(previousPaths, g); var svgPaths = previousPaths.merge !== undefined ? previousPaths.merge(newPaths) : previousPaths; - util/* applyTransition */.WR(svgPaths, g).style('opacity', 1); + util/* applyTransition */.q2(svgPaths, g).style('opacity', 1); // Save DOM element in the path group, and set ID and class svgPaths.each(function (e) { - var domEdge = src/* select */.Ys(this); + var domEdge = src/* select */.MlD(this); var edge = g.edge(e); edge.elem = this; @@ -25756,7 +26029,7 @@ var createEdgePaths = function (selection, g, arrows) { domEdge.attr('id', edge.id); } - util/* applyClass */.$p( + util/* applyClass */.S_( domEdge, edge['class'], (domEdge.classed('update') ? 'update ' : '') + 'edgePath' @@ -25765,26 +26038,26 @@ var createEdgePaths = function (selection, g, arrows) { svgPaths.selectAll('path.path').each(function (e) { var edge = g.edge(e); - edge.arrowheadId = uniqueId/* default */.Z('arrowhead'); + edge.arrowheadId = uniqueId/* default */.c('arrowhead'); - var domEdge = src/* select */.Ys(this) + var domEdge = src/* select */.MlD(this) .attr('marker-end', function () { return 'url(' + makeFragmentRef(location.href, edge.arrowheadId) + ')'; }) .style('fill', 'none'); - util/* applyTransition */.WR(domEdge, g).attr('d', function (e) { + util/* applyTransition */.q2(domEdge, g).attr('d', function (e) { return calcPoints(g, e); }); - util/* applyStyle */.bg(domEdge, edge.style); + util/* applyStyle */.Ce(domEdge, edge.style); }); svgPaths.selectAll('defs *').remove(); svgPaths.selectAll('defs').each(function (e) { var edge = g.edge(e); var arrowhead = arrows[edge.arrowhead]; - arrowhead(src/* select */.Ys(this), edge.arrowheadId, edge, 'arrowhead'); + arrowhead(src/* select */.MlD(this), edge.arrowheadId, edge, 'arrowhead'); }); return svgPaths; @@ -25812,7 +26085,7 @@ function calcPoints(g, e) { function createLine(edge, points) { // @ts-expect-error - var line = (src/* line */.jvg || src/* svg */.YPS.line)() + var line = (src/* line */.cFK || src/* svg */.WWK.line)() .x(function (d) { return d.x; }) @@ -25843,7 +26116,7 @@ function enter(svgPaths, g) { .attr('d', function (e) { var edge = g.edge(e); var sourceElem = g.node(e.v).elem; - var points = range/* default */.Z(edge.points.length).map(function () { + var points = range/* default */.c(edge.points.length).map(function () { return getCoords(sourceElem); }); return createLine(edge, points); @@ -25854,11 +26127,11 @@ function enter(svgPaths, g) { function exit(svgPaths, g) { var svgPathExit = svgPaths.exit(); - util/* applyTransition */.WR(svgPathExit, g).style('opacity', 0).remove(); + util/* applyTransition */.q2(svgPathExit, g).style('opacity', 0).remove(); } // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre-js/create-nodes.js @@ -25869,7 +26142,7 @@ var pick = __webpack_require__(61666); var createNodes = function (selection, g, shapes) { var simpleNodes = g.nodes().filter(function (v) { - return !util/* isSubgraph */.bF(g, v); + return !util/* isSubgraph */.cv(g, v); }); var svgNodes = selection .selectAll('g.node') @@ -25886,8 +26159,8 @@ var createNodes = function (selection, g, shapes) { svgNodes.each(function (v) { var node = g.node(v); - var thisGroup = src/* select */.Ys(this); - util/* applyClass */.$p( + var thisGroup = src/* select */.MlD(this); + util/* applyClass */.S_( thisGroup, node['class'], (thisGroup.classed('update') ? 'update ' : '') + 'node' @@ -25897,7 +26170,7 @@ var createNodes = function (selection, g, shapes) { var labelGroup = thisGroup.append('g').attr('class', 'label'); var labelDom = addLabel(labelGroup, node); var shape = shapes[node.shape]; - var bbox = pick/* default */.Z(labelDom.node().getBBox(), 'width', 'height'); + var bbox = pick/* default */.c(labelDom.node().getBBox(), 'width', 'height'); node.elem = this; @@ -25908,10 +26181,10 @@ var createNodes = function (selection, g, shapes) { labelGroup.attr('id', node.labelId); } - if (has/* default */.Z(node, 'width')) { + if (has/* default */.c(node, 'width')) { bbox.width = node.width; } - if (has/* default */.Z(node, 'height')) { + if (has/* default */.c(node, 'height')) { bbox.height = node.height; } @@ -25926,10 +26199,10 @@ var createNodes = function (selection, g, shapes) { ')' ); - var root = src/* select */.Ys(this); + var root = src/* select */.MlD(this); root.select('.label-container').remove(); var shapeSvg = shape(root, bbox, node).classed('label-container', true); - util/* applyStyle */.bg(shapeSvg, node.style); + util/* applyStyle */.Ce(shapeSvg, node.style); var shapeBBox = shapeSvg.node().getBBox(); node.width = shapeBBox.width; @@ -25944,7 +26217,7 @@ var createNodes = function (selection, g, shapes) { exitSelection = svgNodes.selectAll(null); // empty selection } - util/* applyTransition */.WR(exitSelection, g).style('opacity', 0).remove(); + util/* applyTransition */.q2(exitSelection, g).style('opacity', 0).remove(); return svgNodes; }; @@ -25961,7 +26234,7 @@ function setCreateNodes(value) { function positionClusters(selection, g) { var created = selection.filter(function () { - return !src/* select */.Ys(this).classed('update'); + return !src/* select */.MlD(this).classed('update'); }); function translate(v) { @@ -25971,9 +26244,9 @@ function positionClusters(selection, g) { created.attr('transform', translate); - util/* applyTransition */.WR(selection, g).style('opacity', 1).attr('transform', translate); + util/* applyTransition */.q2(selection, g).style('opacity', 1).attr('transform', translate); - util/* applyTransition */.WR(created.selectAll('rect'), g) + util/* applyTransition */.q2(created.selectAll('rect'), g) .attr('width', function (v) { return g.node(v).width; }) @@ -25999,17 +26272,17 @@ function positionClusters(selection, g) { function positionEdgeLabels(selection, g) { var created = selection.filter(function () { - return !src/* select */.Ys(this).classed('update'); + return !src/* select */.MlD(this).classed('update'); }); function translate(e) { var edge = g.edge(e); - return has/* default */.Z(edge, 'x') ? 'translate(' + edge.x + ',' + edge.y + ')' : ''; + return has/* default */.c(edge, 'x') ? 'translate(' + edge.x + ',' + edge.y + ')' : ''; } created.attr('transform', translate); - util/* applyTransition */.WR(selection, g).style('opacity', 1).attr('transform', translate); + util/* applyTransition */.q2(selection, g).style('opacity', 1).attr('transform', translate); } ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre-js/position-nodes.js @@ -26020,7 +26293,7 @@ function positionEdgeLabels(selection, g) { function positionNodes(selection, g) { var created = selection.filter(function () { - return !src/* select */.Ys(this).classed('update'); + return !src/* select */.MlD(this).classed('update'); }); function translate(v) { @@ -26030,7 +26303,7 @@ function positionNodes(selection, g) { created.attr('transform', translate); - util/* applyTransition */.WR(selection, g).style('opacity', 1).attr('transform', translate); + util/* applyTransition */.q2(selection, g).style('opacity', 1).attr('transform', translate); } ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre-js/intersect/intersect-ellipse.js @@ -26358,7 +26631,7 @@ function render() { var edgeLabels = createEdgeLabels(createOrSelectGroup(outputGroup, 'edgeLabels'), g); var nodes = createNodes(createOrSelectGroup(outputGroup, 'nodes'), g, shapes); - (0,dagre/* layout */.bK)(g); + (0,dagre/* layout */.cn)(g); positionNodes(nodes, g); positionEdgeLabels(edgeLabels, g); @@ -26421,32 +26694,32 @@ var NODE_DEFAULT_ATTRS = { var EDGE_DEFAULT_ATTRS = { arrowhead: 'normal', - curve: src/* curveLinear */.c_6, + curve: src/* curveLinear */.qGi, }; function preProcessGraph(g) { g.nodes().forEach(function (v) { var node = g.node(v); - if (!has/* default */.Z(node, 'label') && !g.children(v).length) { + if (!has/* default */.c(node, 'label') && !g.children(v).length) { node.label = v; } - if (has/* default */.Z(node, 'paddingX')) { - defaults/* default */.Z(node, { + if (has/* default */.c(node, 'paddingX')) { + defaults/* default */.c(node, { paddingLeft: node.paddingX, paddingRight: node.paddingX, }); } - if (has/* default */.Z(node, 'paddingY')) { - defaults/* default */.Z(node, { + if (has/* default */.c(node, 'paddingY')) { + defaults/* default */.c(node, { paddingTop: node.paddingY, paddingBottom: node.paddingY, }); } - if (has/* default */.Z(node, 'padding')) { - defaults/* default */.Z(node, { + if (has/* default */.c(node, 'padding')) { + defaults/* default */.c(node, { paddingLeft: node.padding, paddingRight: node.padding, paddingTop: node.padding, @@ -26454,42 +26727,42 @@ function preProcessGraph(g) { }); } - defaults/* default */.Z(node, NODE_DEFAULT_ATTRS); + defaults/* default */.c(node, NODE_DEFAULT_ATTRS); - forEach/* default */.Z(['paddingLeft', 'paddingRight', 'paddingTop', 'paddingBottom'], function (k) { + forEach/* default */.c(['paddingLeft', 'paddingRight', 'paddingTop', 'paddingBottom'], function (k) { node[k] = Number(node[k]); }); // Save dimensions for restore during post-processing - if (has/* default */.Z(node, 'width')) { + if (has/* default */.c(node, 'width')) { node._prevWidth = node.width; } - if (has/* default */.Z(node, 'height')) { + if (has/* default */.c(node, 'height')) { node._prevHeight = node.height; } }); g.edges().forEach(function (e) { var edge = g.edge(e); - if (!has/* default */.Z(edge, 'label')) { + if (!has/* default */.c(edge, 'label')) { edge.label = ''; } - defaults/* default */.Z(edge, EDGE_DEFAULT_ATTRS); + defaults/* default */.c(edge, EDGE_DEFAULT_ATTRS); }); } function postProcessGraph(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); // Restore original dimensions - if (has/* default */.Z(node, '_prevWidth')) { + if (has/* default */.c(node, '_prevWidth')) { node.width = node._prevWidth; } else { delete node.width; } - if (has/* default */.Z(node, '_prevHeight')) { + if (has/* default */.c(node, '_prevHeight')) { node.height = node._prevHeight; } else { delete node.height; @@ -26516,17 +26789,17 @@ function createOrSelectGroup(root, name) { -// EXTERNAL MODULE: ./node_modules/mermaid/dist/styles-b39df0e1.js + 1 modules -var styles_b39df0e1 = __webpack_require__(94788); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/styles-7383a064.js +var styles_7383a064 = __webpack_require__(51432); // EXTERNAL MODULE: ./node_modules/dayjs/dayjs.min.js -var dayjs_min = __webpack_require__(27484); +var dayjs_min = __webpack_require__(62264); // EXTERNAL MODULE: ./node_modules/@braintree/sanitize-url/dist/index.js -var dist = __webpack_require__(17967); +var dist = __webpack_require__(86208); // EXTERNAL MODULE: ./node_modules/dompurify/dist/purify.es.mjs -var purify_es = __webpack_require__(22424); -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/json.js + 1 modules -var json = __webpack_require__(39354); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/flowDiagram-18ba08e1.js +var purify_es = __webpack_require__(57776); +// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/json.js +var json = __webpack_require__(41520); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/flowDiagram-d949d7c1.js @@ -26780,7 +27053,7 @@ const setConf = function(cnf) { } }; const addVertices = function(vert, g, svgId, root, _doc, diagObj) { - const svg = !root ? (0,src/* select */.Ys)(`[id="${svgId}"]`) : root.select(`[id="${svgId}"]`); + const svg = !root ? (0,src/* select */.MlD)(`[id="${svgId}"]`) : root.select(`[id="${svgId}"]`); const doc = !_doc ? document : _doc; const keys = Object.keys(vert); keys.forEach(function(id) { @@ -26789,22 +27062,22 @@ const addVertices = function(vert, g, svgId, root, _doc, diagObj) { if (vertex.classes.length > 0) { classStr = vertex.classes.join(" "); } - const styles = (0,mermaid_04fb0060.k)(vertex.styles); + const styles = (0,mermaid_0603ccf8.k)(vertex.styles); let vertexText = vertex.text !== void 0 ? vertex.text : vertex.id; let vertexNode; - if ((0,mermaid_04fb0060.m)((0,mermaid_04fb0060.c)().flowchart.htmlLabels)) { + if ((0,mermaid_0603ccf8.m)((0,mermaid_0603ccf8.c)().flowchart.htmlLabels)) { const node = { label: vertexText.replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ) }; - vertexNode = (0,add_html_label/* addHtmlLabel */.a)(svg, node).node(); + vertexNode = (0,add_html_label/* addHtmlLabel */.m)(svg, node).node(); vertexNode.parentNode.removeChild(vertexNode); } else { const svgLabel = doc.createElementNS("http://www.w3.org/2000/svg", "text"); svgLabel.setAttribute("style", styles.labelStyle.replace("color:", "fill:")); - const rows = vertexText.split(mermaid_04fb0060.e.lineBreakRegex); + const rows = vertexText.split(mermaid_0603ccf8.e.lineBreakRegex); for (const row of rows) { const tspan = doc.createElementNS("http://www.w3.org/2000/svg", "tspan"); tspan.setAttributeNS("http://www.w3.org/XML/1998/namespace", "xml:space", "preserve"); @@ -26870,7 +27143,7 @@ const addVertices = function(vert, g, svgId, root, _doc, diagObj) { default: _shape = "rect"; } - mermaid_04fb0060.l.warn("Adding node", vertex.id, vertex.domId); + mermaid_0603ccf8.l.warn("Adding node", vertex.id, vertex.domId); g.setNode(diagObj.db.lookUpDomId(vertex.id), { labelType: "svg", labelStyle: styles.labelStyle, @@ -26889,7 +27162,7 @@ const addEdges = function(edges, g, diagObj) { let defaultStyle; let defaultLabelStyle; if (edges.defaultStyle !== void 0) { - const defaultStyles = (0,mermaid_04fb0060.k)(edges.defaultStyle); + const defaultStyles = (0,mermaid_0603ccf8.k)(edges.defaultStyle); defaultStyle = defaultStyles.style; defaultLabelStyle = defaultStyles.labelStyle; } @@ -26907,7 +27180,7 @@ const addEdges = function(edges, g, diagObj) { let style = ""; let labelStyle = ""; if (edge.style !== void 0) { - const styles = (0,mermaid_04fb0060.k)(edge.style); + const styles = (0,mermaid_0603ccf8.k)(edge.style); style = styles.style; labelStyle = styles.labelStyle; } else { @@ -26932,11 +27205,11 @@ const addEdges = function(edges, g, diagObj) { edgeData.style = style; edgeData.labelStyle = labelStyle; if (edge.interpolate !== void 0) { - edgeData.curve = (0,mermaid_04fb0060.n)(edge.interpolate, src/* curveLinear */.c_6); + edgeData.curve = (0,mermaid_0603ccf8.n)(edge.interpolate, src/* curveLinear */.qGi); } else if (edges.defaultInterpolate !== void 0) { - edgeData.curve = (0,mermaid_04fb0060.n)(edges.defaultInterpolate, src/* curveLinear */.c_6); + edgeData.curve = (0,mermaid_0603ccf8.n)(edges.defaultInterpolate, src/* curveLinear */.qGi); } else { - edgeData.curve = (0,mermaid_04fb0060.n)(conf.curve, src/* curveLinear */.c_6); + edgeData.curve = (0,mermaid_0603ccf8.n)(conf.curve, src/* curveLinear */.qGi); } if (edge.text === void 0) { if (edge.style !== void 0) { @@ -26945,7 +27218,7 @@ const addEdges = function(edges, g, diagObj) { } else { edgeData.arrowheadStyle = "fill: #333"; edgeData.labelpos = "c"; - if ((0,mermaid_04fb0060.m)((0,mermaid_04fb0060.c)().flowchart.htmlLabels)) { + if ((0,mermaid_0603ccf8.m)((0,mermaid_0603ccf8.c)().flowchart.htmlLabels)) { edgeData.labelType = "html"; edgeData.label = `${edge.text.replace( /fa[blrs]?:fa-[\w-]+/g, @@ -26953,7 +27226,7 @@ const addEdges = function(edges, g, diagObj) { )}`; } else { edgeData.labelType = "text"; - edgeData.label = edge.text.replace(mermaid_04fb0060.e.lineBreakRegex, "\n"); + edgeData.label = edge.text.replace(mermaid_0603ccf8.e.lineBreakRegex, "\n"); if (edge.style === void 0) { edgeData.style = edgeData.style || "stroke: #333; stroke-width: 1.5px;fill:none"; } @@ -26967,17 +27240,17 @@ const addEdges = function(edges, g, diagObj) { }); }; const getClasses = function(text, diagObj) { - mermaid_04fb0060.l.info("Extracting classes"); + mermaid_0603ccf8.l.info("Extracting classes"); return diagObj.db.getClasses(); }; const draw = function(text, id, _version, diagObj) { - mermaid_04fb0060.l.info("Drawing flowchart"); - const { securityLevel, flowchart: conf2 } = (0,mermaid_04fb0060.c)(); + mermaid_0603ccf8.l.info("Drawing flowchart"); + const { securityLevel, flowchart: conf2 } = (0,mermaid_0603ccf8.c)(); let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,src/* select */.Ys)("#i" + id); + sandboxElement = (0,src/* select */.MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,src/* select */.Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,src/* select */.Ys)("body"); + const root = securityLevel === "sandbox" ? (0,src/* select */.MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,src/* select */.MlD)("body"); const doc = securityLevel === "sandbox" ? sandboxElement.nodes()[0].contentDocument : document; let dir = diagObj.db.getDirection(); if (dir === void 0) { @@ -26985,7 +27258,7 @@ const draw = function(text, id, _version, diagObj) { } const nodeSpacing = conf2.nodeSpacing || 50; const rankSpacing = conf2.rankSpacing || 50; - const g = new graphlib/* Graph */.k({ + const g = new graphlib/* Graph */.M({ multigraph: true, compound: true }).setGraph({ @@ -27004,14 +27277,14 @@ const draw = function(text, id, _version, diagObj) { diagObj.db.addVertex(subG.id, subG.title, "group", void 0, subG.classes); } const vert = diagObj.db.getVertices(); - mermaid_04fb0060.l.warn("Get vertices", vert); + mermaid_0603ccf8.l.warn("Get vertices", vert); const edges = diagObj.db.getEdges(); let i = 0; for (i = subGraphs.length - 1; i >= 0; i--) { subG = subGraphs[i]; - (0,src/* selectAll */.td_)("cluster").append("text"); + (0,src/* selectAll */.COP)("cluster").append("text"); for (let j = 0; j < subG.nodes.length; j++) { - mermaid_04fb0060.l.warn( + mermaid_0603ccf8.l.warn( "Setting subgraph", subG.nodes[j], diagObj.db.lookUpDomId(subG.nodes[j]), @@ -27027,7 +27300,7 @@ const draw = function(text, id, _version, diagObj) { render$1.arrows().none = function normal(parent, id2, edge, type) { const marker = parent.append("marker").attr("id", id2).attr("viewBox", "0 0 10 10").attr("refX", 9).attr("refY", 5).attr("markerUnits", "strokeWidth").attr("markerWidth", 8).attr("markerHeight", 6).attr("orient", "auto"); const path = marker.append("path").attr("d", "M 0 0 L 0 0 L 0 0 z"); - (0,util/* applyStyle */.bg)(path, edge[type + "Style"]); + (0,util/* applyStyle */.Ce)(path, edge[type + "Style"]); }; render$1.arrows().normal = function normal(parent, id2) { const marker = parent.append("marker").attr("id", id2).attr("viewBox", "0 0 10 10").attr("refX", 9).attr("refY", 5).attr("markerUnits", "strokeWidth").attr("markerWidth", 8).attr("markerHeight", 6).attr("orient", "auto"); @@ -27052,7 +27325,7 @@ const draw = function(text, id, _version, diagObj) { const xPos = clusterRects[0].x.baseVal.value; const yPos = clusterRects[0].y.baseVal.value; const _width = clusterRects[0].width.baseVal.value; - const cluster = (0,src/* select */.Ys)(clusterEl[0]); + const cluster = (0,src/* select */.MlD)(clusterEl[0]); const te = cluster.select(".label"); te.attr("transform", `translate(${xPos + _width / 2}, ${yPos + 14})`); te.attr("id", id + "Text"); @@ -27073,7 +27346,7 @@ const draw = function(text, id, _version, diagObj) { label.insertBefore(rect, label.firstChild); } } - (0,mermaid_04fb0060.o)(g, svg, conf2.diagramPadding, conf2.useMaxWidth); + (0,mermaid_0603ccf8.o)(g, svg, conf2.diagramPadding, conf2.useMaxWidth); const keys = Object.keys(vert); keys.forEach(function(key) { const vertex = vert[key]; @@ -27116,18 +27389,18 @@ const flowRenderer = { draw }; const diagram = { - parser: flowDb_f4777d50.p, - db: flowDb_f4777d50.f, - renderer: styles_b39df0e1.f, - styles: styles_b39df0e1.a, + parser: flowDb_d35e309a.p, + db: flowDb_d35e309a.f, + renderer: styles_7383a064.f, + styles: styles_7383a064.a, init: (cnf) => { if (!cnf.flowchart) { cnf.flowchart = {}; } cnf.flowchart.arrowMarkerAbsolute = cnf.arrowMarkerAbsolute; flowRenderer.setConf(cnf.flowchart); - flowDb_f4777d50.f.clear(); - flowDb_f4777d50.f.setGen("gen-1"); + flowDb_d35e309a.f.clear(); + flowDb_d35e309a.f.setGen("gen-1"); } }; @@ -27135,19 +27408,19 @@ const diagram = { /***/ }), -/***/ 74852: +/***/ 37024: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ r: () => (/* binding */ render) /* harmony export */ }); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(39354); -/* harmony import */ var _edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(52494); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(45625); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(76562); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(64218); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(41520); +/* harmony import */ var _edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79680); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95536); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(73748); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(37352); @@ -27164,15 +27437,15 @@ const clear$1 = () => { clusterDb = {}; }; const isDescendant = (id, ancenstorId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("In isDecendant", ancenstorId, " ", id, " = ", descendants[ancenstorId].includes(id)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("In isDecendant", ancenstorId, " ", id, " = ", descendants[ancenstorId].includes(id)); if (descendants[ancenstorId].includes(id)) { return true; } return false; }; const edgeInCluster = (edge, clusterId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Decendants of ", clusterId, " is ", descendants[clusterId]); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge is ", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Decendants of ", clusterId, " is ", descendants[clusterId]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge is ", edge); if (edge.v === clusterId) { return false; } @@ -27180,13 +27453,13 @@ const edgeInCluster = (edge, clusterId) => { return false; } if (!descendants[clusterId]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Tilt, ", clusterId, ",not in decendants"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Tilt, ", clusterId, ",not in decendants"); return false; } return descendants[clusterId].includes(edge.v) || isDescendant(edge.v, clusterId) || isDescendant(edge.w, clusterId) || descendants[clusterId].includes(edge.w); }; const copy = (clusterId, graph, newGraph, rootId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Copying children of ", clusterId, "root", @@ -27199,24 +27472,24 @@ const copy = (clusterId, graph, newGraph, rootId) => { if (clusterId !== rootId) { nodes.push(clusterId); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Copying (nodes) clusterId", clusterId, "nodes", nodes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Copying (nodes) clusterId", clusterId, "nodes", nodes); nodes.forEach((node) => { if (graph.children(node).length > 0) { copy(node, graph, newGraph, rootId); } else { const data = graph.node(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("cp ", node, " to ", rootId, " with parent ", clusterId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("cp ", node, " to ", rootId, " with parent ", clusterId); newGraph.setNode(node, data); if (rootId !== graph.parent(node)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Setting parent", node, graph.parent(node)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Setting parent", node, graph.parent(node)); newGraph.setParent(node, graph.parent(node)); } if (clusterId !== rootId && node !== clusterId) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Setting parent", node, clusterId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Setting parent", node, clusterId); newGraph.setParent(node, clusterId); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("In copy ", clusterId, "root", rootId, "data", graph.node(clusterId), rootId); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("In copy ", clusterId, "root", rootId, "data", graph.node(clusterId), rootId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( "Not Setting parent for node=", node, "cluster!==rootId", @@ -27226,18 +27499,18 @@ const copy = (clusterId, graph, newGraph, rootId) => { ); } const edges = graph.edges(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Copying Edges", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Copying Edges", edges); edges.forEach((edge) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge", edge); const data2 = graph.edge(edge.v, edge.w, edge.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge data", data2, rootId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge data", data2, rootId); try { if (edgeInCluster(edge, rootId)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Copying as ", edge.v, edge.w, data2, edge.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Copying as ", edge.v, edge.w, data2, edge.name); newGraph.setEdge(edge.v, edge.w, data2, edge.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("newGraph edges ", newGraph.edges(), newGraph.edge(newGraph.edges()[0])); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("newGraph edges ", newGraph.edges(), newGraph.edge(newGraph.edges()[0])); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info( "Skipping copy of edge ", edge.v, "-->", @@ -27249,11 +27522,11 @@ const copy = (clusterId, graph, newGraph, rootId) => { ); } } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error(e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error(e); } }); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Removing node", node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Removing node", node); graph.removeNode(node); }); }; @@ -27267,17 +27540,17 @@ const extractDescendants = (id, graph) => { return res; }; const findNonClusterChild = (id, graph) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching", id); const children = graph.children(id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching children of id ", id, children); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching children of id ", id, children); if (children.length < 1) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("This is a valid node", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("This is a valid node", id); return id; } for (const child of children) { const _id = findNonClusterChild(child, graph); if (_id) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Found replacement for", id, " => ", _id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Found replacement for", id, " => ", _id); return _id; } } @@ -27296,15 +27569,15 @@ const getAnchorId = (id) => { }; const adjustClustersAndEdges = (graph, depth) => { if (!graph || depth > 10) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting out, no graph "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting out, no graph "); return; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting in, graph "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting in, graph "); } graph.nodes().forEach(function(id) { const children = graph.children(id); if (children.length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster identified", id, " Replacement id in edges: ", @@ -27318,29 +27591,36 @@ const adjustClustersAndEdges = (graph, depth) => { const children = graph.children(id); const edges = graph.edges(); if (children.length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Cluster identified", id, descendants); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Cluster identified", id, descendants); edges.forEach((edge) => { if (edge.v !== id && edge.w !== id) { const d1 = isDescendant(edge.v, id); const d2 = isDescendant(edge.w, id); if (d1 ^ d2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge: ", edge, " leaves cluster ", id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Decendants of XXX ", id, ": ", descendants[id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge: ", edge, " leaves cluster ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Decendants of XXX ", id, ": ", descendants[id]); clusterDb[id].externalConnections = true; } } }); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster ", id, descendants); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster ", id, descendants); } }); + for (let id of Object.keys(clusterDb)) { + const nonClusterChild = clusterDb[id].id; + const parent = graph.parent(nonClusterChild); + if (parent !== id && clusterDb[parent] && !clusterDb[parent].externalConnections) { + clusterDb[id].id = parent; + } + } graph.edges().forEach(function(e) { const edge = graph.edge(e); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); let v = e.v; let w = e.w; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Fix XXX", clusterDb, "ids:", @@ -27352,8 +27632,8 @@ const adjustClustersAndEdges = (graph, depth) => { clusterDb[e.w] ); if (clusterDb[e.v] && clusterDb[e.w] && clusterDb[e.v] === clusterDb[e.w]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing link to self - removing XXX", e.v, e.w, e.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing link to self - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); v = getAnchorId(e.v); w = getAnchorId(e.w); graph.removeEdge(e.v, e.w, e.name); @@ -27377,28 +27657,32 @@ const adjustClustersAndEdges = (graph, depth) => { graph.setEdge(v, specialId, edge1, e.name + "-cyclic-special"); graph.setEdge(specialId, w, edge2, e.name + "-cyclic-special"); } else if (clusterDb[e.v] || clusterDb[e.w]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); v = getAnchorId(e.v); w = getAnchorId(e.w); graph.removeEdge(e.v, e.w, e.name); if (v !== e.v) { + const parent = graph.parent(v); + clusterDb[parent].externalConnections = true; edge.fromCluster = e.v; } if (w !== e.w) { + const parent = graph.parent(w); + clusterDb[parent].externalConnections = true; edge.toCluster = e.w; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fix Replacing with XXX", v, w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fix Replacing with XXX", v, w, e.name); graph.setEdge(v, w, edge, e.name); } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Adjusted Graph", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Adjusted Graph", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); extractor(graph, 0); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace(clusterDb); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace(clusterDb); }; const extractor = (graph, depth) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("extractor - ", depth, dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph), graph.children("D")); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("extractor - ", depth, dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph), graph.children("D")); if (depth > 10) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("Bailing out"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("Bailing out"); return; } let nodes = graph.nodes(); @@ -27408,12 +27692,12 @@ const extractor = (graph, depth) => { hasChildren = hasChildren || children.length > 0; } if (!hasChildren) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Done, no node has children", graph.nodes()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Done, no node has children", graph.nodes()); return; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Nodes = ", nodes, depth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Nodes = ", nodes, depth); for (const node of nodes) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( "Extracting node", node, clusterDb, @@ -27425,10 +27709,10 @@ const extractor = (graph, depth) => { depth ); if (!clusterDb[node]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster", node, depth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster", node, depth); } else if (!clusterDb[node].externalConnections && // !graph.parent(node) && graph.children(node) && graph.children(node).length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster without external connections, without a parent and with children", node, depth @@ -27437,9 +27721,9 @@ const extractor = (graph, depth) => { let dir = graphSettings.rankdir === "TB" ? "LR" : "TB"; if (clusterDb[node] && clusterDb[node].clusterData && clusterDb[node].clusterData.dir) { dir = clusterDb[node].clusterData.dir; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing dir", clusterDb[node].clusterData.dir, dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing dir", clusterDb[node].clusterData.dir, dir); } - const clusterGraph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .k({ + const clusterGraph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .M({ multigraph: true, compound: true }).setGraph({ @@ -27452,7 +27736,7 @@ const extractor = (graph, depth) => { }).setDefaultEdgeLabel(function() { return {}; }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Old graph before copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Old graph before copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); copy(node, graph, clusterGraph, node); graph.setNode(node, { clusterNode: true, @@ -27461,10 +27745,10 @@ const extractor = (graph, depth) => { labelText: clusterDb[node].labelText, graph: clusterGraph }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New graph after copy node: (", node, ")", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(clusterGraph)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Old graph after copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New graph after copy node: (", node, ")", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(clusterGraph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Old graph after copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster ** ", node, " **not meeting the criteria !externalConnections:", @@ -27476,14 +27760,14 @@ const extractor = (graph, depth) => { graph.children("D"), depth ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(clusterDb); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(clusterDb); } } nodes = graph.nodes(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New list of nodes", nodes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New list of nodes", nodes); for (const node of nodes) { const data = graph.node(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn(" Now next level", node, data); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn(" Now next level", node, data); if (data.clusterNode) { extractor(data.graph, depth + 1); } @@ -27503,16 +27787,17 @@ const sorter = (graph, nodes) => { }; const sortNodesByHierarchy = (graph) => sorter(graph, graph.children()); const rect = (parent, node) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Creating subgraph rect for ", node.id, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Creating subgraph rect for ", node.id, node); + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const shapeSvg = parent.insert("g").attr("class", "cluster" + (node.class ? " " + node.class : "")).attr("id", node.id); const rect2 = shapeSvg.insert("rect", ":first-child"); - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels); + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels); const label = shapeSvg.insert("g").attr("class", "cluster-label"); - const text = node.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_5__.a)(label, node.labelText, { style: node.labelStyle, useHtmlLabels }) : label.node().appendChild((0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); + const text = node.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_5__.a)(label, node.labelText, { style: node.labelStyle, useHtmlLabels }) : label.node().appendChild((0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); let bbox = text.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -27525,26 +27810,27 @@ const rect = (parent, node) => { } else { node.diff = -node.padding / 2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Data ", node, JSON.stringify(node)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Data ", node, JSON.stringify(node)); rect2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", node.x - width / 2).attr("y", node.y - node.height / 2 - halfPadding).attr("width", width).attr("height", node.height + padding); + const { subGraphTitleTopMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); if (useHtmlLabels) { label.attr( "transform", // This puts the labal on top of the box instead of inside it - "translate(" + (node.x - bbox.width / 2) + ", " + (node.y - node.height / 2) + ")" + `translate(${node.x - bbox.width / 2}, ${node.y - node.height / 2 + subGraphTitleTopMargin})` ); } else { label.attr( "transform", // This puts the labal on top of the box instead of inside it - "translate(" + node.x + ", " + (node.y - node.height / 2) + ")" + `translate(${node.x}, ${node.y - node.height / 2 + subGraphTitleTopMargin})` ); } const rectBox = rect2.node().getBBox(); node.width = rectBox.width; node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; @@ -27558,20 +27844,21 @@ const noteGroup = (parent, node) => { node.width = rectBox.width; node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; const roundedWithTitle = (parent, node) => { + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const shapeSvg = parent.insert("g").attr("class", node.classes).attr("id", node.id); const rect2 = shapeSvg.insert("rect", ":first-child"); const label = shapeSvg.insert("g").attr("class", "cluster-label"); const innerRect = shapeSvg.append("rect"); - const text = label.node().appendChild((0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); + const text = label.node().appendChild((0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); let bbox = text.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -27587,14 +27874,15 @@ const roundedWithTitle = (parent, node) => { } rect2.attr("class", "outer").attr("x", node.x - width / 2 - halfPadding).attr("y", node.y - node.height / 2 - halfPadding).attr("width", width + padding).attr("height", node.height + padding); innerRect.attr("class", "inner").attr("x", node.x - width / 2 - halfPadding).attr("y", node.y - node.height / 2 - halfPadding + bbox.height - 1).attr("width", width + padding).attr("height", node.height + padding - bbox.height - 3); + const { subGraphTitleTopMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); label.attr( "transform", - "translate(" + (node.x - bbox.width / 2) + ", " + (node.y - node.height / 2 - node.padding / 3 + ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels) ? 5 : 3)) + ")" + `translate(${node.x - bbox.width / 2}, ${node.y - node.height / 2 - node.padding / 3 + ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels) ? 5 : 3) + subGraphTitleTopMargin})` ); const rectBox = rect2.node().getBBox(); node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; @@ -27609,32 +27897,32 @@ const divider = (parent, node) => { node.height = rectBox.height; node.diff = -node.padding / 2; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; const shapes = { rect, roundedWithTitle, noteGroup, divider }; let clusterElems = {}; const insertCluster = (elem, node) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Inserting cluster"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Inserting cluster"); const shape = node.shape || "rect"; clusterElems[node.id] = shapes[shape](elem, node); }; const clear = () => { clusterElems = {}; }; -const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph in recursive render: XXX", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph), parentCluster); +const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster, siteConfig) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph in recursive render: XXX", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph), parentCluster); const dir = graph.graph().rankdir; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Dir in recursive render - dir:", dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Dir in recursive render - dir:", dir); const elem = _elem.insert("g").attr("class", "root"); if (!graph.nodes()) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("No nodes found for", graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("No nodes found for", graph); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Recursive render XXX", graph.nodes()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Recursive render XXX", graph.nodes()); } if (graph.edges().length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Recursive edges", graph.edge(graph.edges()[0])); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Recursive edges", graph.edge(graph.edges()[0])); } const clusters = elem.insert("g").attr("class", "clusters"); const edgePaths = elem.insert("g").attr("class", "edgePaths"); @@ -27645,56 +27933,64 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => const node = graph.node(v); if (parentCluster !== void 0) { const data = JSON.parse(JSON.stringify(parentCluster.clusterData)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Setting data for cluster XXX (", v, ") ", data, parentCluster); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Setting data for cluster XXX (", v, ") ", data, parentCluster); graph.setNode(parentCluster.id, data); if (!graph.parent(v)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Setting parent", v, parentCluster.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Setting parent", v, parentCluster.id); graph.setParent(v, parentCluster.id, data); } } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("(Insert) Node XXX" + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("(Insert) Node XXX" + v + ": " + JSON.stringify(graph.node(v))); if (node && node.clusterNode) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster identified", v, node.width, graph.node(v)); - const o = await recursiveRender(nodes, node.graph, diagramtype, id, graph.node(v)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster identified", v, node.width, graph.node(v)); + const o = await recursiveRender( + nodes, + node.graph, + diagramtype, + id, + graph.node(v), + siteConfig + ); const newEl = o.elem; - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.u)(node, newEl); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.u)(node, newEl); node.diff = o.diff || 0; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node bounds (abc123)", v, node, node.width, node.x, node.y); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.s)(newEl, node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Recursive render complete ", newEl, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node bounds (abc123)", v, node, node.width, node.x, node.y); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.s)(newEl, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Recursive render complete ", newEl, node); } else { if (graph.children(v).length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster - the non recursive path XXX", v, node.id, node, graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(findNonClusterChild(node.id, graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster - the non recursive path XXX", v, node.id, node, graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(findNonClusterChild(node.id, graph)); clusterDb[node.id] = { id: findNonClusterChild(node.id, graph), node }; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node - the non recursive path", v, node.id, node); - await (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, graph.node(v), dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node - the non recursive path", v, node.id, node); + await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, graph.node(v), dir); } } }) ); graph.edges().forEach(function(e) { const edge = graph.edge(e.v, e.w, e.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": ", e, " ", JSON.stringify(graph.edge(e))); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Fix", clusterDb, "ids:", e.v, e.w, "Translateing: ", clusterDb[e.v], clusterDb[e.w]); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.f)(edgeLabels, edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": ", e, " ", JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Fix", clusterDb, "ids:", e.v, e.w, "Translateing: ", clusterDb[e.v], clusterDb[e.w]); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.f)(edgeLabels, edge); }); graph.edges().forEach(function(e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("### Layout ###"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(graph); - (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__/* .layout */ .bK)(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph after layout:", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("### Layout ###"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(graph); + (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__/* .layout */ .cn)(graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph after layout:", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); let diff = 0; + const { subGraphTitleTotalMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); sortNodesByHierarchy(graph).forEach(function(v) { const node = graph.node(v); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Position " + v + ": " + JSON.stringify(graph.node(v))); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Position " + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info( "Position " + v + ": (" + node.x, "," + node.y, ") width: ", @@ -27703,25 +27999,29 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => node.height ); if (node && node.clusterNode) { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); + node.y += subGraphTitleTotalMargin; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); } else { if (graph.children(v).length > 0) { + node.height += subGraphTitleTotalMargin; insertCluster(clusters, node); clusterDb[node.id].node = node; } else { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); + node.y += subGraphTitleTotalMargin / 2; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); } } }); graph.edges().forEach(function(e) { const edge = graph.edge(e); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(edge), edge); - const paths = (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.g)(edgePaths, e, edge, clusterDb, diagramtype, graph, id); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.h)(edge, paths); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(edge), edge); + edge.points.forEach((point) => point.y += subGraphTitleTotalMargin / 2); + const paths = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.h)(edgePaths, e, edge, clusterDb, diagramtype, graph, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.j)(edge, paths); }); graph.nodes().forEach(function(v) { const n = graph.node(v); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(v, n.type, n.diff); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(v, n.type, n.diff); if (n.type === "group") { diff = n.diff; } @@ -27729,59 +28029,36 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => return { elem, diff }; }; const render = async (elem, graph, markers, diagramtype, id) => { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.a)(elem, markers, diagramtype, id); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.b)(); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.d)(); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.a)(elem, markers, diagramtype, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.b)(); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.d)(); clear(); clear$1(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph at first:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph at first:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph))); adjustClustersAndEdges(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph after:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph))); - await recursiveRender(elem, graph, diagramtype, id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph after:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph))); + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + await recursiveRender(elem, graph, diagramtype, id, void 0, siteConfig); }; /***/ }), -/***/ 94788: +/***/ 51432: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { - -// EXPORTS -__webpack_require__.d(__webpack_exports__, { - a: () => (/* binding */ flowStyles), - f: () => (/* binding */ flowRendererV2) -}); - -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); -// EXTERNAL MODULE: ./node_modules/d3/src/index.js + 197 modules -var src = __webpack_require__(64218); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/index-0980fb80.js -var index_0980fb80 = __webpack_require__(74852); -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/dagre-js/label/add-html-label.js -var add_html_label = __webpack_require__(43349); -// EXTERNAL MODULE: ./node_modules/khroma/dist/utils/index.js + 3 modules -var utils = __webpack_require__(61691); -// EXTERNAL MODULE: ./node_modules/khroma/dist/color/index.js + 4 modules -var dist_color = __webpack_require__(71610); -;// CONCATENATED MODULE: ./node_modules/khroma/dist/methods/channel.js -/* IMPORT */ - - -/* MAIN */ -const channel = (color, channel) => { - return utils/* default */.Z.lang.round(dist_color/* default */.Z.parse(color)[channel]); -}; -/* EXPORT */ -/* harmony default export */ const methods_channel = (channel); - -// EXTERNAL MODULE: ./node_modules/khroma/dist/methods/rgba.js -var rgba = __webpack_require__(51117); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/styles-b39df0e1.js +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ a: () => (/* binding */ flowStyles), +/* harmony export */ f: () => (/* binding */ flowRendererV2) +/* harmony export */ }); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(95536); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(37352); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(79010); +/* harmony import */ var _index_8fae9850_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(37024); +/* harmony import */ var dagre_d3_es_src_dagre_js_label_add_html_label_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(53128); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(21048); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(19837); @@ -27805,26 +28082,26 @@ const addVertices = function(vert, g, svgId, root, doc, diagObj) { classStr = vertex.classes.join(" "); } classStr = classStr + " flowchart-label"; - const styles = (0,mermaid_04fb0060.k)(vertex.styles); + const styles = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.k)(vertex.styles); let vertexText = vertex.text !== void 0 ? vertex.text : vertex.id; let vertexNode; - mermaid_04fb0060.l.info("vertex", vertex, vertex.labelType); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("vertex", vertex, vertex.labelType); if (vertex.labelType === "markdown") { - mermaid_04fb0060.l.info("vertex", vertex, vertex.labelType); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("vertex", vertex, vertex.labelType); } else { - if ((0,mermaid_04fb0060.m)((0,mermaid_04fb0060.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.c)().flowchart.htmlLabels)) { const node = { label: vertexText.replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ) }; - vertexNode = (0,add_html_label/* addHtmlLabel */.a)(svg, node).node(); + vertexNode = (0,dagre_d3_es_src_dagre_js_label_add_html_label_js__WEBPACK_IMPORTED_MODULE_3__/* .addHtmlLabel */ .m)(svg, node).node(); vertexNode.parentNode.removeChild(vertexNode); } else { const svgLabel = doc.createElementNS("http://www.w3.org/2000/svg", "text"); svgLabel.setAttribute("style", styles.labelStyle.replace("color:", "fill:")); - const rows = vertexText.split(mermaid_04fb0060.e.lineBreakRegex); + const rows = vertexText.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.e.lineBreakRegex); for (const row of rows) { const tspan = doc.createElementNS("http://www.w3.org/2000/svg", "tspan"); tspan.setAttributeNS("http://www.w3.org/XML/1998/namespace", "xml:space", "preserve"); @@ -27913,9 +28190,9 @@ const addVertices = function(vert, g, svgId, root, doc, diagObj) { dir: vertex.dir, type: vertex.type, props: vertex.props, - padding: (0,mermaid_04fb0060.c)().flowchart.padding + padding: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.c)().flowchart.padding }); - mermaid_04fb0060.l.info("setNode", { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("setNode", { labelStyle: styles.labelStyle, labelType: vertex.labelType, shape: _shape, @@ -27930,18 +28207,18 @@ const addVertices = function(vert, g, svgId, root, doc, diagObj) { type: vertex.type, dir: vertex.dir, props: vertex.props, - padding: (0,mermaid_04fb0060.c)().flowchart.padding + padding: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.c)().flowchart.padding }); }); }; const addEdges = function(edges, g, diagObj) { - mermaid_04fb0060.l.info("abc78 edges = ", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("abc78 edges = ", edges); let cnt = 0; let linkIdCnt = {}; let defaultStyle; let defaultLabelStyle; if (edges.defaultStyle !== void 0) { - const defaultStyles = (0,mermaid_04fb0060.k)(edges.defaultStyle); + const defaultStyles = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.k)(edges.defaultStyle); defaultStyle = defaultStyles.style; defaultLabelStyle = defaultStyles.labelStyle; } @@ -27950,13 +28227,13 @@ const addEdges = function(edges, g, diagObj) { const linkIdBase = "L-" + edge.start + "-" + edge.end; if (linkIdCnt[linkIdBase] === void 0) { linkIdCnt[linkIdBase] = 0; - mermaid_04fb0060.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); } else { linkIdCnt[linkIdBase]++; - mermaid_04fb0060.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); } let linkId = linkIdBase + "-" + linkIdCnt[linkIdBase]; - mermaid_04fb0060.l.info("abc78 new link id to be used is", linkIdBase, linkId, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("abc78 new link id to be used is", linkIdBase, linkId, linkIdCnt[linkIdBase]); const linkNameStart = "LS-" + edge.start; const linkNameEnd = "LE-" + edge.end; const edgeData = { style: "", labelStyle: "" }; @@ -28016,18 +28293,18 @@ const addEdges = function(edges, g, diagObj) { break; } if (edge.style !== void 0) { - const styles = (0,mermaid_04fb0060.k)(edge.style); + const styles = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.k)(edge.style); style = styles.style; labelStyle = styles.labelStyle; } edgeData.style = edgeData.style += style; edgeData.labelStyle = edgeData.labelStyle += labelStyle; if (edge.interpolate !== void 0) { - edgeData.curve = (0,mermaid_04fb0060.n)(edge.interpolate, src/* curveLinear */.c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.n)(edge.interpolate, d3__WEBPACK_IMPORTED_MODULE_1__/* .curveLinear */ .qGi); } else if (edges.defaultInterpolate !== void 0) { - edgeData.curve = (0,mermaid_04fb0060.n)(edges.defaultInterpolate, src/* curveLinear */.c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.n)(edges.defaultInterpolate, d3__WEBPACK_IMPORTED_MODULE_1__/* .curveLinear */ .qGi); } else { - edgeData.curve = (0,mermaid_04fb0060.n)(conf.curve, src/* curveLinear */.c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.n)(conf.curve, d3__WEBPACK_IMPORTED_MODULE_1__/* .curveLinear */ .qGi); } if (edge.text === void 0) { if (edge.style !== void 0) { @@ -28038,7 +28315,7 @@ const addEdges = function(edges, g, diagObj) { edgeData.labelpos = "c"; } edgeData.labelType = edge.labelType; - edgeData.label = edge.text.replace(mermaid_04fb0060.e.lineBreakRegex, "\n"); + edgeData.label = edge.text.replace(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.e.lineBreakRegex, "\n"); if (edge.style === void 0) { edgeData.style = edgeData.style || "stroke: #333; stroke-width: 1.5px;fill:none;"; } @@ -28052,21 +28329,21 @@ const getClasses = function(text, diagObj) { return diagObj.db.getClasses(); }; const draw = async function(text, id, _version, diagObj) { - mermaid_04fb0060.l.info("Drawing flowchart"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Drawing flowchart"); let dir = diagObj.db.getDirection(); if (dir === void 0) { dir = "TD"; } - const { securityLevel, flowchart: conf2 } = (0,mermaid_04fb0060.c)(); + const { securityLevel, flowchart: conf2 } = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.c)(); const nodeSpacing = conf2.nodeSpacing || 50; const rankSpacing = conf2.rankSpacing || 50; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,src/* select */.Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,src/* select */.Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,src/* select */.Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("body"); const doc = securityLevel === "sandbox" ? sandboxElement.nodes()[0].contentDocument : document; - const g = new graphlib/* Graph */.k({ + const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__/* .Graph */ .M({ multigraph: true, compound: true }).setGraph({ @@ -28080,10 +28357,10 @@ const draw = async function(text, id, _version, diagObj) { }); let subG; const subGraphs = diagObj.db.getSubGraphs(); - mermaid_04fb0060.l.info("Subgraphs - ", subGraphs); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Subgraphs - ", subGraphs); for (let i2 = subGraphs.length - 1; i2 >= 0; i2--) { subG = subGraphs[i2]; - mermaid_04fb0060.l.info("Subgraph - ", subG); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Subgraph - ", subG); diagObj.db.addVertex( subG.id, { text: subG.title, type: subG.labelType }, @@ -28095,13 +28372,13 @@ const draw = async function(text, id, _version, diagObj) { } const vert = diagObj.db.getVertices(); const edges = diagObj.db.getEdges(); - mermaid_04fb0060.l.info("Edges", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Edges", edges); let i = 0; for (i = subGraphs.length - 1; i >= 0; i--) { subG = subGraphs[i]; - (0,src/* selectAll */.td_)("cluster").append("text"); + (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .selectAll */ .COP)("cluster").append("text"); for (let j = 0; j < subG.nodes.length; j++) { - mermaid_04fb0060.l.info("Setting up subgraphs", subG.nodes[j], subG.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Setting up subgraphs", subG.nodes[j], subG.id); g.setParent(subG.nodes[j], subG.id); } } @@ -28109,9 +28386,9 @@ const draw = async function(text, id, _version, diagObj) { addEdges(edges, g); const svg = root.select(`[id="${id}"]`); const element = root.select("#" + id + " g"); - await (0,index_0980fb80.r)(element, g, ["point", "circle", "cross"], "flowchart", id); - mermaid_04fb0060.u.insertTitle(svg, "flowchartTitleText", conf2.titleTopMargin, diagObj.db.getDiagramTitle()); - (0,mermaid_04fb0060.o)(g, svg, conf2.diagramPadding, conf2.useMaxWidth); + await (0,_index_8fae9850_js__WEBPACK_IMPORTED_MODULE_4__.r)(element, g, ["point", "circle", "cross"], "flowchart", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.u.insertTitle(svg, "flowchartTitleText", conf2.titleTopMargin, diagObj.db.getDiagramTitle()); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.o)(g, svg, conf2.diagramPadding, conf2.useMaxWidth); diagObj.db.indexNodes("subGraph" + i); if (!conf2.htmlLabels) { const labels = doc.querySelectorAll('[id="' + id + '"] .edgeLabel .label'); @@ -28129,7 +28406,7 @@ const draw = async function(text, id, _version, diagObj) { keys.forEach(function(key) { const vertex = vert[key]; if (vertex.link) { - const node = (0,src/* select */.Ys)("#" + id + ' [id="' + key + '"]'); + const node = (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("#" + id + ' [id="' + key + '"]'); if (node) { const link = doc.createElementNS("http://www.w3.org/2000/svg", "a"); 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On the left there is a person with a quantified hearing loss who is listening to speech from the target talker on the right. Both people are in a living room. There is interfering noise from a number of sources (a TV and washing machine in this case). The speech and noise are sensed by microphones on the hearing aids of the listener. The task is to take these microphone feeds and the listener\u2019s hearing characteristics, and produce signals for the hearing aid processor that will make the speech more intelligible. We will evaluate the success of the processing using a combination of objective metrics for speech intelligibility and quality."}),"\n",(0,n.jsxs)("figure",{id:"fig1",children:[(0,n.jsx)("img",{width:"500",src:(0,i.c)("/img/ICASSP2023/scenario.png")}),(0,n.jsx)("figcaption",{children:"Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound."})]}),"\n",(0,n.jsx)(e.h2,{id:"baseline-system-and-software-tools",children:"Baseline system and software tools"}),"\n",(0,n.jsx)(e.p,{children:"Challenge entrants are supplied with an end-to-end baseline system. Figure 2 shows a simplified schematic, which comprises:"}),"\n",(0,n.jsxs)("figure",{id:"fig2",children:[(0,n.jsx)("img",{width:"500",src:(0,i.c)("/img/ICASSP2023/pipeline.png")}),(0,n.jsx)("figcaption",{children:"Figure 2. Baseline schematic."})]}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsx)(e.li,{children:"A scene generator (blue box) creates speech in noise (SPIN)."}),"\n",(0,n.jsx)(e.li,{children:"A listener is chosen (green ellipse), so the processing can be individualised for each listener with quantified hearing characteristics."}),"\n",(0,n.jsx)(e.li,{children:"The speech is enhanced (pink box). The entrants are tasked to improve this."}),"\n",(0,n.jsx)(e.li,{children:"The hearing aid we provide then amplifies the improved speech (yellow box)"}),"\n",(0,n.jsx)(e.li,{children:"The amplified and improved speech that is emitted by your hearing aid is then passed to the prediction stage (red boxes). A combination of HASPI and HASQI is the output of the objective metrics for intelligibility and quality respectively (Kates and Arehart, 2021, Kates and Arehart 2014)."}),"\n",(0,n.jsx)(e.li,{children:"All software tools will be available as a single GitHub repository. The software is split into core components e.g. HASPI, HASQI, and additional tools e.g. a hearing loss model. 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A desired signal-to-noise ratio, SNR",(0,n.jsxs)(e.span,{className:"katex",children:[(0,n.jsx)(e.span,{className:"katex-mathml",children:(0,n.jsx)(e.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(e.semantics,{children:[(0,n.jsx)(e.mrow,{children:(0,n.jsxs)(e.msub,{children:[(0,n.jsx)(e.mrow,{}),(0,n.jsx)(e.mi,{children:"D"})]})}),(0,n.jsx)(e.annotation,{encoding:"application/x-tex",children:"_D"})]})})}),(0,n.jsx)(e.span,{className:"katex-html","aria-hidden":"true",children:(0,n.jsxs)(e.span,{className:"base",children:[(0,n.jsx)(e.span,{className:"strut",style:{height:"0.4783em",verticalAlign:"-0.15em"}}),(0,n.jsxs)(e.span,{className:"mord",children:[(0,n.jsx)(e.span,{}),(0,n.jsx)(e.span,{className:"msupsub",children:(0,n.jsxs)(e.span,{className:"vlist-t vlist-t2",children:[(0,n.jsxs)(e.span,{className:"vlist-r",children:[(0,n.jsx)(e.span,{className:"vlist",style:{height:"0.3283em"},children:(0,n.jsxs)(e.span,{style:{top:"-2.55em",marginRight:"0.05em"},children:[(0,n.jsx)(e.span,{className:"pstrut",style:{height:"2.7em"}}),(0,n.jsx)(e.span,{className:"sizing reset-size6 size3 mtight",children:(0,n.jsx)(e.span,{className:"mord mathnormal mtight",style:{marginRight:"0.02778em"},children:"D"})})]})}),(0,n.jsx)(e.span,{className:"vlist-s",children:"\u200b"})]}),(0,n.jsx)(e.span,{className:"vlist-r",children:(0,n.jsx)(e.span,{className:"vlist",style:{height:"0.15em"},children:(0,n.jsx)(e.span,{})})})]})})]})]})})]})," (dB), is chosen at random. 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t._cache.$bar}(e,t.type);let i,o,r,s,a=e._length;const l=()=>{32767!==r&&-32768!==r&&(it(s)&&(a=Math.min(a,Math.abs(r-s)||a)),s=r)};for(i=0,o=n.length;iMath.abs(a)&&(l=a,c=s),e[n.axis]=c,e._custom={barStart:l,barEnd:c,start:o,end:r,min:s,max:a}}(t,e,n,i):e[n.axis]=n.parse(t,i),e}function Yn(t,e,n,i){const o=t.iScale,r=t.vScale,s=o.getLabels(),a=o===r,l=[];let c,u,h,d;for(c=n,u=n+i;ct.x,n="left",i="right"):(e=t.baset.controller.options.grouped)),o=n.options.stacked,r=[],s=t=>{const n=t.controller.getParsed(e),i=n&&n[t.vScale.axis];if(N(i)||isNaN(i))return!0};for(const a of i)if((void 0===e||!s(a))&&((!1===o||-1===r.indexOf(a.stack)||void 0===o&&void 0===a.stack)&&r.push(a.stack),a.index===t))break;return r.length||r.push(void 0),r}_getStackCount(t){return this._getStacks(void 0,t).length}_getStackIndex(t,e,n){const i=this._getStacks(t,n),o=void 0!==e?i.indexOf(e):-1;return-1===o?i.length-1:o}_getRuler(){const t=this.options,e=this._cachedMeta,n=e.iScale,i=[];let o,r;for(o=0,r=e.data.length;o=n?1:-1)}(h,e,s)*r,d===s&&(m-=h/2);const t=e.getPixelForDecimal(0),o=e.getPixelForDecimal(1),l=Math.min(t,o),f=Math.max(t,o);m=Math.max(Math.min(m,f),l),u=m+h,n&&!c&&(a._stacks[e.axis]._visualValues[i]=e.getValueForPixel(u)-e.getValueForPixel(m))}if(m===e.getPixelForValue(s)){const t=gt(h)*e.getLineWidthForValue(s)/2;m+=t,h-=t}return{size:h,base:m,head:u,center:u+h/2}}_calculateBarIndexPixels(t,e){const n=e.scale,i=this.options,o=i.skipNull,r=H(i.maxBarThickness,1/0);let s,a;if(e.grouped){const n=o?this._getStackCount(t):e.stackCount,l="flex"===i.barThickness?function(t,e,n,i){const o=e.pixels,r=o[t];let s=t>0?o[t-1]:null,a=t"spacing"!==t,_indexable:t=>"spacing"!==t&&!t.startsWith("borderDash")&&!t.startsWith("hoverBorderDash")};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:n,color:i}}=t.legend.options;return e.labels.map(((e,o)=>{const r=t.getDatasetMeta(0).controller.getStyle(o);return{text:e,fillStyle:r.backgroundColor,strokeStyle:r.borderColor,fontColor:i,lineWidth:r.borderWidth,pointStyle:n,hidden:!t.getDataVisibility(o),index:o}}))}return[]}},onClick(t,e,n){n.chart.toggleDataVisibility(e.index),n.chart.update()}}}};constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){const n=this.getDataset().data,i=this._cachedMeta;if(!1===this._parsing)i._parsed=n;else{let 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o="reset"===i,r=this.chart,s=r.chartArea,a=r.options.animation,l=(s.left+s.right)/2,c=(s.top+s.bottom)/2,u=o&&a.animateScale,h=u?0:this.innerRadius,d=u?0:this.outerRadius,{sharedOptions:f,includeOptions:p}=this._getSharedOptions(e,i);let g,m=this._getRotation();for(g=0;g0&&!isNaN(t)?at*(Math.abs(t)/e):0}getLabelAndValue(t){const e=this._cachedMeta,n=this.chart,i=n.data.labels||[],o=Jt(e._parsed[t],n.options.locale);return{label:i[t]||"",value:o}}getMaxBorderWidth(t){let e=0;const n=this.chart;let i,o,r,s,a;if(!t)for(i=0,o=n.data.datasets.length;i{const r=t.getDatasetMeta(0).controller.getStyle(o);return{text:e,fillStyle:r.backgroundColor,strokeStyle:r.borderColor,fontColor:i,lineWidth:r.borderWidth,pointStyle:n,hidden:!t.getDataVisibility(o),index:o}}))}return[]}},onClick(t,e,n){n.chart.toggleDataVisibility(e.index),n.chart.update()}}},scales:{r:{type:"radialLinear",angleLines:{display:!1},beginAtZero:!0,grid:{circular:!0},pointLabels:{display:!1},startAngle:0}}};constructor(t,e){super(t,e),this.innerRadius=void 0,this.outerRadius=void 0}getLabelAndValue(t){const e=this._cachedMeta,n=this.chart,i=n.data.labels||[],o=Jt(e._parsed[t].r,n.options.locale);return{label:i[t]||"",value:o}}parseObjectData(t,e,n,i){return qe.bind(this)(t,e,n,i)}update(t){const e=this._cachedMeta.data;this._updateRadius(),this.updateElements(e,0,e.length,t)}getMinMax(){const t=this._cachedMeta,e={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY};return t.data.forEach(((t,n)=>{const i=this.getParsed(n).r;!isNaN(i)&&this.chart.getDataVisibility(n)&&(ie.max&&(e.max=i))})),e}_updateRadius(){const t=this.chart,e=t.chartArea,n=t.options,i=Math.min(e.right-e.left,e.bottom-e.top),o=Math.max(i/2,0),r=(o-Math.max(n.cutoutPercentage?o/100*n.cutoutPercentage:1,0))/t.getVisibleDatasetCount();this.outerRadius=o-r*this.index,this.innerRadius=this.outerRadius-r}updateElements(t,e,n,i){const o="reset"===i,r=this.chart,s=r.options.animation,a=this._cachedMeta.rScale,l=a.xCenter,c=a.yCenter,u=a.getIndexAngle(0)-.5*st;let h,d=u;const f=360/this.countVisibleElements();for(h=0;h{!isNaN(this.getParsed(n).r)&&this.chart.getDataVisibility(n)&&e++})),e}_computeAngle(t,e,n){return this.chart.getDataVisibility(t)?vt(this.resolveDataElementOptions(t,e).angle||n):0}}var ni=Object.freeze({__proto__:null,BarController:Qn,BubbleController:class extends Un{static id="bubble";static defaults={datasetElementType:!1,dataElementType:"point",animations:{numbers:{type:"number",properties:["x","y","borderWidth","radius"]}}};static overrides={scales:{x:{type:"linear"},y:{type:"linear"}}};initialize(){this.enableOptionSharing=!0,super.initialize()}parsePrimitiveData(t,e,n,i){const o=super.parsePrimitiveData(t,e,n,i);for(let r=0;r=0;--n)e=Math.max(e,t[n].size(this.resolveDataElementOptions(n))/2);return e>0&&e}getLabelAndValue(t){const e=this._cachedMeta,n=this.chart.data.labels||[],{xScale:i,yScale:o}=e,r=this.getParsed(t),s=i.getLabelForValue(r.x),a=o.getLabelForValue(r.y),l=r._custom;return{label:n[t]||"",value:"("+s+", "+a+(l?", "+l:"")+")"}}update(t){const e=this._cachedMeta.data;this.updateElements(e,0,e.length,t)}updateElements(t,e,n,i){const o="reset"===i,{iScale:r,vScale:s}=this._cachedMeta,{sharedOptions:a,includeOptions:l}=this._getSharedOptions(e,i),c=r.axis,u=s.axis;for(let h=e;h0&&this.getParsed(e-1);for(let v=0;v=b){f.skip=!0;continue}const y=this.getParsed(v),_=N(y[d]),w=f[h]=r.getPixelForValue(y[h],v),E=f[d]=o||_?s.getBasePixel():s.getPixelForValue(a?this.applyStack(s,y,a):y[d],v);f.skip=isNaN(w)||isNaN(E)||_,f.stop=v>0&&Math.abs(y[h]-x[h])>g,p&&(f.parsed=y,f.raw=l.data[v]),u&&(f.options=c||this.resolveDataElementOptions(v,n.active?"active":i)),m||this.updateElement(n,v,f,i),x=y}}getMaxOverflow(){const t=this._cachedMeta,e=t.dataset,n=e.options&&e.options.borderWidth||0,i=t.data||[];if(!i.length)return n;const o=i[0].size(this.resolveDataElementOptions(0)),r=i[i.length-1].size(this.resolveDataElementOptions(i.length-1));return Math.max(n,o,r)/2}draw(){const t=this._cachedMeta;t.dataset.updateControlPoints(this.chart.chartArea,t.iScale.axis),super.draw()}},PieController:class extends ti{static id="pie";static defaults={cutout:0,rotation:0,circumference:360,radius:"100%"}},PolarAreaController:ei,RadarController:class extends Un{static id="radar";static 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ri=oi;function si(t,e,n,i){const{controller:o,data:r,_sorted:s}=t,a=o._cachedMeta.iScale;if(a&&e===a.axis&&"r"!==e&&s&&r.length){const t=a._reversePixels?Dt:Rt;if(!i)return t(r,e,n);if(o._sharedOptions){const i=r[0],o="function"==typeof i.getRange&&i.getRange(e);if(o){const i=t(r,e,n-o),s=t(r,e,n+o);return{lo:i.lo,hi:s.hi}}}}return{lo:0,hi:r.length-1}}function ai(t,e,n,i,o){const r=t.getSortedVisibleDatasetMetas(),s=n[e];for(let a=0,l=r.length;a{t[s](e[n],o)&&(r.push({element:t,datasetIndex:i,index:l}),a=a||t.inRange(e.x,e.y,o))})),i&&!a?[]:r}var di={evaluateInteractionItems:ai,modes:{index(t,e,n,i){const o=ln(e,t),r=n.axis||"x",s=n.includeInvisible||!1,a=n.intersect?li(t,o,r,i,s):ui(t,o,r,!1,i,s),l=[];return a.length?(t.getSortedVisibleDatasetMetas().forEach((t=>{const e=a[0].index,n=t.data[e];n&&!n.skip&&l.push({element:n,datasetIndex:t.index,index:e})})),l):[]},dataset(t,e,n,i){const o=ln(e,t),r=n.axis||"xy",s=n.includeInvisible||!1;let 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r,s,a;for(r=0,s=t.length;r{i[t]=Math.max(e[t],n[t])})),i}return i(t?["left","right"]:["top","bottom"])}function wi(t,e,n,i){const o=[];let r,s,a,l,c,u;for(r=0,s=t.length,c=0;rt.box.fullSize)),!0),i=mi(pi(e,"left"),!0),o=mi(pi(e,"right")),r=mi(pi(e,"top"),!0),s=mi(pi(e,"bottom")),a=gi(e,"x"),l=gi(e,"y");return{fullSize:n,leftAndTop:i.concat(r),rightAndBottom:o.concat(l).concat(s).concat(a),chartArea:pi(e,"chartArea"),vertical:i.concat(o).concat(l),horizontal:r.concat(s).concat(a)}}(t.boxes),l=a.vertical,c=a.horizontal;q(t.boxes,(t=>{"function"==typeof t.beforeLayout&&t.beforeLayout()}));const u=l.reduce(((t,e)=>e.box.options&&!1===e.box.options.display?t:t+1),0)||1,h=Object.freeze({outerWidth:e,outerHeight:n,padding:o,availableWidth:r,availableHeight:s,vBoxMaxWidth:r/2/u,hBoxMaxHeight:s/2}),d=Object.assign({},o);xi(d,Pe(i));const f=Object.assign({maxPadding:d,w:r,h:s,x:o.left,y:o.top},o),p=bi(l.concat(c),h);wi(a.fullSize,f,h,p),wi(l,f,h,p),wi(c,f,h,p)&&wi(l,f,h,p),function(t){const 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Mi="$chartjs",Pi={touchstart:"mousedown",touchmove:"mousemove",touchend:"mouseup",pointerenter:"mouseenter",pointerdown:"mousedown",pointermove:"mousemove",pointerup:"mouseup",pointerleave:"mouseout",pointerout:"mouseout"},Ti=t=>null===t||""===t;const Ri=!!dn&&{passive:!0};function Di(t,e,n){t.canvas.removeEventListener(e,n,Ri)}function Ii(t,e){for(const n of t)if(n===e||n.contains(e))return!0}function Ai(t,e,n){const i=t.canvas,o=new MutationObserver((t=>{let e=!1;for(const n of t)e=e||Ii(n.addedNodes,i),e=e&&!Ii(n.removedNodes,i);e&&n()}));return o.observe(document,{childList:!0,subtree:!0}),o}function ji(t,e,n){const i=t.canvas,o=new MutationObserver((t=>{let e=!1;for(const n of t)e=e||Ii(n.removedNodes,i),e=e&&!Ii(n.addedNodes,i);e&&n()}));return o.observe(document,{childList:!0,subtree:!0}),o}const Fi=new Map;let Li=0;function Ni(){const t=window.devicePixelRatio;t!==Li&&(Li=t,Fi.forEach(((e,n)=>{n.currentDevicePixelRatio!==t&&e()})))}function zi(t,e,n){const i=t.canvas,o=i&&en(i);if(!o)return;const r=Lt(((t,e)=>{const i=o.clientWidth;n(t,e),i{const e=t[0],n=e.contentRect.width,i=e.contentRect.height;0===n&&0===i||r(n,i)}));return s.observe(o),function(t,e){Fi.size||window.addEventListener("resize",Ni),Fi.set(t,e)}(t,r),s}function Bi(t,e,n){n&&n.disconnect(),"resize"===e&&function(t){Fi.delete(t),Fi.size||window.removeEventListener("resize",Ni)}(t)}function Wi(t,e,n){const i=t.canvas,o=Lt((e=>{null!==t.ctx&&n(function(t,e){const n=Pi[t.type]||t.type,{x:i,y:o}=ln(t,e);return{type:n,chart:e,native:t,x:void 0!==i?i:null,y:void 0!==o?o:null}}(e,t))}),t);return function(t,e,n){t.addEventListener(e,n,Ri)}(i,e,o),o}class Vi extends Si{acquireContext(t,e){const n=t&&t.getContext&&t.getContext("2d");return n&&n.canvas===t?(function(t,e){const n=t.style,i=t.getAttribute("height"),o=t.getAttribute("width");if(t[Mi]={initial:{height:i,width:o,style:{display:n.display,height:n.height,width:n.width}}},n.display=n.display||"block",n.boxSizing=n.boxSizing||"border-box",Ti(o)){const e=fn(t,"width");void 0!==e&&(t.width=e)}if(Ti(i))if(""===t.style.height)t.height=t.width/(e||2);else{const e=fn(t,"height");void 0!==e&&(t.height=e)}}(t,e),n):null}releaseContext(t){const e=t.canvas;if(!e[Mi])return!1;const n=e[Mi].initial;["height","width"].forEach((t=>{const i=n[t];N(i)?e.removeAttribute(t):e.setAttribute(t,i)}));const i=n.style||{};return Object.keys(i).forEach((t=>{e.style[t]=i[t]})),e.width=e.width,delete e[Mi],!0}addEventListener(t,e,n){this.removeEventListener(t,e);const i=t.$proxies||(t.$proxies={}),o={attach:Ai,detach:ji,resize:zi}[e]||Wi;i[e]=o(t,e,n)}removeEventListener(t,e){const n=t.$proxies||(t.$proxies={}),i=n[e];if(!i)return;({attach:Bi,detach:Bi,resize:Bi}[e]||Di)(t,e,i),n[e]=void 0}getDevicePixelRatio(){return window.devicePixelRatio}getMaximumSize(t,e,n,i){return un(t,e,n,i)}isAttached(t){const e=en(t);return!(!e||!e.isConnected)}}class Hi{static defaults={};static defaultRoutes=void 0;x;y;active=!1;options;$animations;tooltipPosition(t){const{x:e,y:n}=this.getProps(["x","y"],t);return{x:e,y:n}}hasValue(){return yt(this.x)&&yt(this.y)}getProps(t,e){const n=this.$animations;if(!e||!n)return this;const i={};return t.forEach((t=>{i[t]=n[t]&&n[t].active()?n[t]._to:this[t]})),i}}function Ui(t,e){const n=t.options.ticks,i=function(t){const e=t.options.offset,n=t._tickSize(),i=t._length/n+(e?0:1),o=t._maxLength/n;return Math.floor(Math.min(i,o))}(t),o=Math.min(n.maxTicksLimit||i,i),r=n.major.enabled?function(t){const e=[];let n,i;for(n=0,i=t.length;no)return function(t,e,n,i){let o,r=0,s=n[0];for(i=Math.ceil(i),o=0;ot-e)).pop(),e}(i);for(let s=0,a=r.length-1;so)return t}return Math.max(o,1)}(r,e,o);if(s>0){let t,n;const i=s>1?Math.round((l-a)/(s-1)):null;for($i(e,c,u,N(i)?0:a-i,a),t=0,n=s-1;t"top"===e||"left"===e?t[e]+n:t[e]-n,Yi=(t,e)=>Math.min(e||t,t);function Ki(t,e){const n=[],i=t.length/e,o=t.length;let r=0;for(;rs+a)))return c}function Zi(t){return t.drawTicks?t.tickLength:0}function Gi(t,e){if(!t.display)return 0;const n=Te(t.font,e),i=Pe(t.padding);return(z(t.text)?t.text.length:1)*n.lineHeight+i.height}function Ji(t,e,n){let i=Nt(t);return(n&&"right"!==e||!n&&"right"===e)&&(i=(t=>"left"===t?"right":"right"===t?"left":t)(i)),i}class Qi extends Hi{constructor(t){super(),this.id=t.id,this.type=t.type,this.options=void 0,this.ctx=t.ctx,this.chart=t.chart,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this._margins={left:0,right:0,top:0,bottom:0},this.maxWidth=void 0,this.maxHeight=void 0,this.paddingTop=void 0,this.paddingBottom=void 0,this.paddingLeft=void 0,this.paddingRight=void 0,this.axis=void 0,this.labelRotation=void 0,this.min=void 0,this.max=void 0,this._range=void 0,this.ticks=[],this._gridLineItems=null,this._labelItems=null,this._labelSizes=null,this._length=0,this._maxLength=0,this._longestTextCache={},this._startPixel=void 0,this._endPixel=void 0,this._reversePixels=!1,this._userMax=void 0,this._userMin=void 0,this._suggestedMax=void 0,this._suggestedMin=void 0,this._ticksLength=0,this._borderValue=0,this._cache={},this._dataLimitsCached=!1,this.$context=void 0}init(t){this.options=t.setContext(this.getContext()),this.axis=t.axis,this._userMin=this.parse(t.min),this._userMax=this.parse(t.max),this._suggestedMin=this.parse(t.suggestedMin),this._suggestedMax=this.parse(t.suggestedMax)}parse(t,e){return t}getUserBounds(){let{_userMin:t,_userMax:e,_suggestedMin:n,_suggestedMax:i}=this;return t=V(t,Number.POSITIVE_INFINITY),e=V(e,Number.NEGATIVE_INFINITY),n=V(n,Number.POSITIVE_INFINITY),i=V(i,Number.NEGATIVE_INFINITY),{min:V(t,n),max:V(e,i),minDefined:W(t),maxDefined:W(e)}}getMinMax(t){let e,{min:n,max:i,minDefined:o,maxDefined:r}=this.getUserBounds();if(o&&r)return{min:n,max:i};const s=this.getMatchingVisibleMetas();for(let a=0,l=s.length;ai?i:n,i=o&&n>i?n:i,{min:V(n,V(i,n)),max:V(i,V(n,i))}}getPadding(){return{left:this.paddingLeft||0,top:this.paddingTop||0,right:this.paddingRight||0,bottom:this.paddingBottom||0}}getTicks(){return this.ticks}getLabels(){const t=this.chart.data;return this.options.labels||(this.isHorizontal()?t.xLabels:t.yLabels)||t.labels||[]}getLabelItems(t=this.chart.chartArea){return this._labelItems||(this._labelItems=this._computeLabelItems(t))}beforeLayout(){this._cache={},this._dataLimitsCached=!1}beforeUpdate(){$(this.options.beforeUpdate,[this])}update(t,e,n){const{beginAtZero:i,grace:o,ticks:r}=this.options,s=r.sampleSize;this.beforeUpdate(),this.maxWidth=t,this.maxHeight=e,this._margins=n=Object.assign({left:0,right:0,top:0,bottom:0},n),this.ticks=null,this._labelSizes=null,this._gridLineItems=null,this._labelItems=null,this.beforeSetDimensions(),this.setDimensions(),this.afterSetDimensions(),this._maxLength=this.isHorizontal()?this.width+n.left+n.right:this.height+n.top+n.bottom,this._dataLimitsCached||(this.beforeDataLimits(),this.determineDataLimits(),this.afterDataLimits(),this._range=function(t,e,n){const{min:i,max:o}=t,r=U(e,(o-i)/2),s=(t,e)=>n&&0===t?0:t+e;return{min:s(i,-Math.abs(r)),max:s(o,r)}}(this,o,i),this._dataLimitsCached=!0),this.beforeBuildTicks(),this.ticks=this.buildTicks()||[],this.afterBuildTicks();const a=s=o||n<=1||!this.isHorizontal())return void(this.labelRotation=i);const c=this._getLabelSizes(),u=c.widest.width,h=c.highest.height,d=Mt(this.chart.width-u,0,this.maxWidth);r=t.offset?this.maxWidth/n:d/(n-1),u+6>r&&(r=d/(n-(t.offset?.5:1)),s=this.maxHeight-Zi(t.grid)-e.padding-Gi(t.title,this.chart.options.font),a=Math.sqrt(u*u+h*h),l=_t(Math.min(Math.asin(Mt((c.highest.height+6)/r,-1,1)),Math.asin(Mt(s/a,-1,1))-Math.asin(Mt(h/a,-1,1)))),l=Math.max(i,Math.min(o,l))),this.labelRotation=l}afterCalculateLabelRotation(){$(this.options.afterCalculateLabelRotation,[this])}afterAutoSkip(){}beforeFit(){$(this.options.beforeFit,[this])}fit(){const t={width:0,height:0},{chart:e,options:{ticks:n,title:i,grid:o}}=this,r=this._isVisible(),s=this.isHorizontal();if(r){const r=Gi(i,e.options.font);if(s?(t.width=this.maxWidth,t.height=Zi(o)+r):(t.height=this.maxHeight,t.width=Zi(o)+r),n.display&&this.ticks.length){const{first:e,last:i,widest:o,highest:r}=this._getLabelSizes(),a=2*n.padding,l=vt(this.labelRotation),c=Math.cos(l),u=Math.sin(l);if(s){const e=n.mirror?0:u*o.width+c*r.height;t.height=Math.min(this.maxHeight,t.height+e+a)}else{const e=n.mirror?0:c*o.width+u*r.height;t.width=Math.min(this.maxWidth,t.width+e+a)}this._calculatePadding(e,i,u,c)}}this._handleMargins(),s?(this.width=this._length=e.width-this._margins.left-this._margins.right,this.height=t.height):(this.width=t.width,this.height=this._length=e.height-this._margins.top-this._margins.bottom)}_calculatePadding(t,e,n,i){const{ticks:{align:o,padding:r},position:s}=this.options,a=0!==this.labelRotation,l="top"!==s&&"x"===this.axis;if(this.isHorizontal()){const s=this.getPixelForTick(0)-this.left,c=this.right-this.getPixelForTick(this.ticks.length-1);let u=0,h=0;a?l?(u=i*t.width,h=n*e.height):(u=n*t.height,h=i*e.width):"start"===o?h=e.width:"end"===o?u=t.width:"inner"!==o&&(u=t.width/2,h=e.width/2),this.paddingLeft=Math.max((u-s+r)*this.width/(this.width-s),0),this.paddingRight=Math.max((h-c+r)*this.width/(this.width-c),0)}else{let n=e.height/2,i=t.height/2;"start"===o?(n=0,i=t.height):"end"===o&&(n=e.height,i=0),this.paddingTop=n+r,this.paddingBottom=i+r}}_handleMargins(){this._margins&&(this._margins.left=Math.max(this.paddingLeft,this._margins.left),this._margins.top=Math.max(this.paddingTop,this._margins.top),this._margins.right=Math.max(this.paddingRight,this._margins.right),this._margins.bottom=Math.max(this.paddingBottom,this._margins.bottom))}afterFit(){$(this.options.afterFit,[this])}isHorizontal(){const{axis:t,position:e}=this.options;return"top"===e||"bottom"===e||"x"===t}isFullSize(){return this.options.fullSize}_convertTicksToLabels(t){let e,n;for(this.beforeTickToLabelConversion(),this.generateTickLabels(t),e=0,n=t.length;e{const n=t.gc,i=n.length/2;let o;if(i>e){for(o=0;o({width:r[t]||0,height:s[t]||0});return{first:E(0),last:E(e-1),widest:E(_),highest:E(w),widths:r,heights:s}}getLabelForValue(t){return t}getPixelForValue(t,e){return NaN}getValueForPixel(t){}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getPixelForDecimal(t){this._reversePixels&&(t=1-t);const e=this._startPixel+t*this._length;return Mt(this._alignToPixels?ce(this.chart,e,0):e,-32768,32767)}getDecimalForPixel(t){const e=(t-this._startPixel)/this._length;return this._reversePixels?1-e:e}getBasePixel(){return this.getPixelForValue(this.getBaseValue())}getBaseValue(){const{min:t,max:e}=this;return t<0&&e<0?e:t>0&&e>0?t:0}getContext(t){const e=this.ticks||[];if(t>=0&&ts*i?s/n:a/i:a*i0}_computeGridLineItems(t){const e=this.axis,n=this.chart,i=this.options,{grid:o,position:r,border:s}=i,a=o.offset,l=this.isHorizontal(),c=this.ticks.length+(a?1:0),u=Zi(o),h=[],d=s.setContext(this.getContext()),f=d.display?d.width:0,p=f/2,g=function(t){return ce(n,t,f)};let m,b,y,x,v,_,w,E,O,C,S,k;if("top"===r)m=g(this.bottom),_=this.bottom-u,E=m-p,C=g(t.top)+p,k=t.bottom;else if("bottom"===r)m=g(this.top),C=t.top,k=g(t.bottom)-p,_=m+p,E=this.top+u;else if("left"===r)m=g(this.right),v=this.right-u,w=m-p,O=g(t.left)+p,S=t.right;else if("right"===r)m=g(this.left),O=t.left,S=g(t.right)-p,v=m+p,w=this.left+u;else if("x"===e){if("center"===r)m=g((t.top+t.bottom)/2+.5);else if(B(r)){const t=Object.keys(r)[0],e=r[t];m=g(this.chart.scales[t].getPixelForValue(e))}C=t.top,k=t.bottom,_=m+p,E=_+u}else if("y"===e){if("center"===r)m=g((t.left+t.right)/2);else if(B(r)){const t=Object.keys(r)[0],e=r[t];m=g(this.chart.scales[t].getPixelForValue(e))}v=m-p,w=v-u,O=t.left,S=t.right}const M=H(i.ticks.maxTicksLimit,c),P=Math.max(1,Math.ceil(c/M));for(b=0;b0&&(r-=i/2)}h={left:r,top:o,width:i+e.width,height:n+e.height,color:t.backdropColor}}g.push({label:x,font:O,textOffset:k,options:{rotation:p,color:n,strokeColor:a,strokeWidth:c,textAlign:d,textBaseline:M,translation:[v,_],backdrop:h}})}return g}_getXAxisLabelAlignment(){const{position:t,ticks:e}=this.options;if(-vt(this.labelRotation))return"top"===t?"left":"right";let n="center";return"start"===e.align?n="left":"end"===e.align?n="right":"inner"===e.align&&(n="inner"),n}_getYAxisLabelAlignment(t){const{position:e,ticks:{crossAlign:n,mirror:i,padding:o}}=this.options,r=t+o,s=this._getLabelSizes().widest.width;let a,l;return"left"===e?i?(l=this.right+o,"near"===n?a="left":"center"===n?(a="center",l+=s/2):(a="right",l+=s)):(l=this.right-r,"near"===n?a="right":"center"===n?(a="center",l-=s/2):(a="left",l=this.left)):"right"===e?i?(l=this.left+o,"near"===n?a="right":"center"===n?(a="center",l-=s/2):(a="left",l-=s)):(l=this.left+r,"near"===n?a="left":"center"===n?(a="center",l+=s/2):(a="right",l=this.right)):a="right",{textAlign:a,x:l}}_computeLabelArea(){if(this.options.ticks.mirror)return;const t=this.chart,e=this.options.position;return"left"===e||"right"===e?{top:0,left:this.left,bottom:t.height,right:this.right}:"top"===e||"bottom"===e?{top:this.top,left:0,bottom:this.bottom,right:t.width}:void 0}drawBackground(){const{ctx:t,options:{backgroundColor:e},left:n,top:i,width:o,height:r}=this;e&&(t.save(),t.fillStyle=e,t.fillRect(n,i,o,r),t.restore())}getLineWidthForValue(t){const e=this.options.grid;if(!this._isVisible()||!e.display)return 0;const n=this.ticks.findIndex((e=>e.value===t));if(n>=0){return e.setContext(this.getContext(n)).lineWidth}return 0}drawGrid(t){const e=this.options.grid,n=this.ctx,i=this._gridLineItems||(this._gridLineItems=this._computeGridLineItems(t));let o,r;const s=(t,e,i)=>{i.width&&i.color&&(n.save(),n.lineWidth=i.width,n.strokeStyle=i.color,n.setLineDash(i.borderDash||[]),n.lineDashOffset=i.borderDashOffset,n.beginPath(),n.moveTo(t.x,t.y),n.lineTo(e.x,e.y),n.stroke(),n.restore())};if(e.display)for(o=0,r=i.length;o{this.drawBackground(),this.drawGrid(t),this.drawTitle()}},{z:i,draw:()=>{this.drawBorder()}},{z:e,draw:t=>{this.drawLabels(t)}}]:[{z:e,draw:t=>{this.draw(t)}}]}getMatchingVisibleMetas(t){const e=this.chart.getSortedVisibleDatasetMetas(),n=this.axis+"AxisID",i=[];let o,r;for(o=0,r=e.length;o{const i=n.split("."),o=i.pop(),r=[t].concat(i).join("."),s=e[n].split("."),a=s.pop(),l=s.join(".");se.route(r,o,l,a)}))}(e,t.defaultRoutes);t.descriptors&&se.describe(e,t.descriptors)}(t,r,n),this.override&&se.override(t.id,t.overrides)),r}get(t){return this.items[t]}unregister(t){const e=this.items,n=t.id,i=this.scope;n in e&&delete e[n],i&&n in se[i]&&(delete se[i][n],this.override&&delete ee[n])}}class eo{constructor(){this.controllers=new to(Un,"datasets",!0),this.elements=new to(Hi,"elements"),this.plugins=new to(Object,"plugins"),this.scales=new to(Qi,"scales"),this._typedRegistries=[this.controllers,this.scales,this.elements]}add(...t){this._each("register",t)}remove(...t){this._each("unregister",t)}addControllers(...t){this._each("register",t,this.controllers)}addElements(...t){this._each("register",t,this.elements)}addPlugins(...t){this._each("register",t,this.plugins)}addScales(...t){this._each("register",t,this.scales)}getController(t){return this._get(t,this.controllers,"controller")}getElement(t){return this._get(t,this.elements,"element")}getPlugin(t){return this._get(t,this.plugins,"plugin")}getScale(t){return this._get(t,this.scales,"scale")}removeControllers(...t){this._each("unregister",t,this.controllers)}removeElements(...t){this._each("unregister",t,this.elements)}removePlugins(...t){this._each("unregister",t,this.plugins)}removeScales(...t){this._each("unregister",t,this.scales)}_each(t,e,n){[...e].forEach((e=>{const i=n||this._getRegistryForType(e);n||i.isForType(e)||i===this.plugins&&e.id?this._exec(t,i,e):q(e,(e=>{const i=n||this._getRegistryForType(e);this._exec(t,i,e)}))}))}_exec(t,e,n){const i=nt(t);$(n["before"+i],[],n),e[t](n),$(n["after"+i],[],n)}_getRegistryForType(t){for(let e=0;et.filter((t=>!e.some((e=>t.plugin.id===e.plugin.id))));this._notify(i(e,n),t,"stop"),this._notify(i(n,e),t,"start")}}function oo(t,e){return e||!1!==t?!0===t?{}:t:null}function ro(t,{plugin:e,local:n},i,o){const r=t.pluginScopeKeys(e),s=t.getOptionScopes(i,r);return n&&e.defaults&&s.push(e.defaults),t.createResolver(s,o,[""],{scriptable:!1,indexable:!1,allKeys:!0})}function so(t,e){const n=se.datasets[t]||{};return((e.datasets||{})[t]||{}).indexAxis||e.indexAxis||n.indexAxis||"x"}function ao(t){if("x"===t||"y"===t||"r"===t)return t}function lo(t,...e){if(ao(t))return t;for(const i of e){const e=i.axis||("top"===(n=i.position)||"bottom"===n?"x":"left"===n||"right"===n?"y":void 0)||t.length>1&&ao(t[0].toLowerCase());if(e)return e}var n;throw new Error(`Cannot determine type of '${t}' axis. 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n=this._options=e.createResolver(e.chartOptionScopes(),this.getContext()),i=this._animationsDisabled=!n.animation;if(this._updateScales(),this._checkEventBindings(),this._updateHiddenIndices(),this._plugins.invalidate(),!1===this.notifyPlugins("beforeUpdate",{mode:t,cancelable:!0}))return;const o=this.buildOrUpdateControllers();this.notifyPlugins("beforeElementsUpdate");let r=0;for(let l=0,c=this.data.datasets.length;l{t.reset()})),this._updateDatasets(t),this.notifyPlugins("afterUpdate",{mode:t}),this._layers.sort(Eo("z","_idx"));const{_active:s,_lastEvent:a}=this;a?this._eventHandler(a,!0):s.length&&this._updateHoverStyles(s,s,!0),this.render()}_updateScales(){q(this.scales,(t=>{Ci.removeBox(this,t)})),this.ensureScalesHaveIDs(),this.buildOrUpdateScales()}_checkEventBindings(){const t=this.options,e=new Set(Object.keys(this._listeners)),n=new 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o=Ao(w,m,s,a);if(t.lineTo(o.x,o.y),y>0){const e=Ao(w,O,s,a);t.arc(e.x,e.y,y,m-ht,O)}}else{t.moveTo(s,a);const e=Math.cos(O)*h+s,n=Math.sin(O)*h+a;t.lineTo(e,n);const i=Math.cos(C)*h+s,o=Math.sin(C)*h+a;t.lineTo(i,o)}t.closePath()}function Fo(t,e,n,i,o){const{fullCircles:r,startAngle:s,circumference:a,options:l}=e,{borderWidth:c,borderJoinStyle:u,borderDash:h,borderDashOffset:d}=l,f="inner"===l.borderAlign;if(!c)return;t.setLineDash(h||[]),t.lineDashOffset=d,f?(t.lineWidth=2*c,t.lineJoin=u||"round"):(t.lineWidth=c,t.lineJoin=u||"bevel");let p=e.endAngle;if(r){jo(t,e,n,i,p,o);for(let e=0;eo?(c=o/l,t.arc(r,s,l,n+c,i-c,!0)):t.arc(r,s,o,n+ht,i-ht),t.closePath(),t.clip()}(t,e,p),r||(jo(t,e,n,i,p,o),t.stroke())}function Lo(t,e,n=e){t.lineCap=H(n.borderCapStyle,e.borderCapStyle),t.setLineDash(H(n.borderDash,e.borderDash)),t.lineDashOffset=H(n.borderDashOffset,e.borderDashOffset),t.lineJoin=H(n.borderJoinStyle,e.borderJoinStyle),t.lineWidth=H(n.borderWidth,e.borderWidth),t.strokeStyle=H(n.borderColor,e.borderColor)}function No(t,e,n){t.lineTo(n.x,n.y)}function zo(t,e,n={}){const i=t.length,{start:o=0,end:r=i-1}=n,{start:s,end:a}=e,l=Math.max(o,s),c=Math.min(r,a),u=oa&&r>a;return{count:i,start:l,loop:e.loop,ilen:c(s+(c?a-t:t))%r,x=()=>{f!==p&&(t.lineTo(m,p),t.lineTo(m,f),t.lineTo(m,g))};for(l&&(h=o[y(0)],t.moveTo(h.x,h.y)),u=0;u<=a;++u){if(h=o[y(u)],h.skip)continue;const e=h.x,n=h.y,i=0|e;i===d?(np&&(p=n),m=(b*m+e)/++b):(x(),t.lineTo(e,n),d=i,b=0,f=p=n),g=n}x()}function Vo(t){const e=t.options,n=e.borderDash&&e.borderDash.length;return!(t._decimated||t._loop||e.tension||"monotone"===e.cubicInterpolationMode||e.stepped||n)?Wo:Bo}const Ho="function"==typeof Path2D;function Uo(t,e,n,i){Ho&&!e.options.segment?function(t,e,n,i){let o=e._path;o||(o=e._path=new Path2D,e.path(o,n,i)&&o.closePath()),Lo(t,e.options),t.stroke(o)}(t,e,n,i):function(t,e,n,i){const{segments:o,options:r}=e,s=Vo(e);for(const a of o)Lo(t,r,a.style),t.beginPath(),s(t,e,a,{start:n,end:n+i-1})&&t.closePath(),t.stroke()}(t,e,n,i)}class $o extends Hi{static id="line";static defaults={borderCapStyle:"butt",borderDash:[],borderDashOffset:0,borderJoinStyle:"miter",borderWidth:3,capBezierPoints:!0,cubicInterpolationMode:"default",fill:!1,spanGaps:!1,stepped:!1,tension:0};static defaultRoutes={backgroundColor:"backgroundColor",borderColor:"borderColor"};static descriptors={_scriptable:!0,_indexable:t=>"borderDash"!==t&&"fill"!==t};constructor(t){super(),this.animated=!0,this.options=void 0,this._chart=void 0,this._loop=void 0,this._fullLoop=void 0,this._path=void 0,this._points=void 0,this._segments=void 0,this._decimated=!1,this._pointsUpdated=!1,this._datasetIndex=void 0,t&&Object.assign(this,t)}updateControlPoints(t,e){const n=this.options;if((n.tension||"monotone"===n.cubicInterpolationMode)&&!n.stepped&&!this._pointsUpdated){const i=n.spanGaps?this._loop:this._fullLoop;Qe(this._points,n,t,i,e),this._pointsUpdated=!0}}set points(t){this._points=t,delete this._segments,delete this._path,this._pointsUpdated=!1}get points(){return this._points}get segments(){return this._segments||(this._segments=function(t,e){const n=t.points,i=t.options.spanGaps,o=n.length;if(!o)return[];const r=!!t._loop,{start:s,end:a}=function(t,e,n,i){let o=0,r=e-1;if(n&&!i)for(;oo&&t[r%e].skip;)r--;return r%=e,{start:o,end:r}}(n,o,r,i);return On(t,!0===i?[{start:s,end:a,loop:r}]:function(t,e,n,i){const o=t.length,r=[];let s,a=e,l=t[e];for(s=e+1;s<=n;++s){const n=t[s%o];n.skip||n.stop?l.skip||(i=!1,r.push({start:e%o,end:(s-1)%o,loop:i}),e=a=n.stop?s:null):(a=s,l.skip&&(e=s)),l=n}return null!==a&&r.push({start:e%o,end:a%o,loop:i}),r}(n,s,a"borderDash"!==t};circumference;endAngle;fullCircles;innerRadius;outerRadius;pixelMargin;startAngle;constructor(t){super(),this.options=void 0,this.circumference=void 0,this.startAngle=void 0,this.endAngle=void 0,this.innerRadius=void 0,this.outerRadius=void 0,this.pixelMargin=0,this.fullCircles=0,t&&Object.assign(this,t)}inRange(t,e,n){const i=this.getProps(["x","y"],n),{angle:o,distance:r}=Et(i,{x:t,y:e}),{startAngle:s,endAngle:a,innerRadius:l,outerRadius:c,circumference:u}=this.getProps(["startAngle","endAngle","innerRadius","outerRadius","circumference"],n),h=(this.options.spacing+this.options.borderWidth)/2,d=H(u,a-s)>=at||kt(o,s,a),f=Pt(r,l+h,c+h);return d&&f}getCenterPoint(t){const{x:e,y:n,startAngle:i,endAngle:o,innerRadius:r,outerRadius:s}=this.getProps(["x","y","startAngle","endAngle","innerRadius","outerRadius"],t),{offset:a,spacing:l}=this.options,c=(i+o)/2,u=(r+s+l+a)/2;return{x:e+Math.cos(c)*u,y:n+Math.sin(c)*u}}tooltipPosition(t){return this.getCenterPoint(t)}draw(t){const{options:e,circumference:n}=this,i=(e.offset||0)/4,o=(e.spacing||0)/2,r=e.circular;if(this.pixelMargin="inner"===e.borderAlign?.33:0,this.fullCircles=n>at?Math.floor(n/at):0,0===n||this.innerRadius<0||this.outerRadius<0)return;t.save();const s=(this.startAngle+this.endAngle)/2;t.translate(Math.cos(s)*i,Math.sin(s)*i);const a=i*(1-Math.sin(Math.min(st,n||0)));t.fillStyle=e.backgroundColor,t.strokeStyle=e.borderColor,function(t,e,n,i,o){const{fullCircles:r,startAngle:s,circumference:a}=e;let l=e.endAngle;if(r){jo(t,e,n,i,l,o);for(let e=0;et.replace("rgb(","rgba(").replace(")",", 0.5)")));function nr(t){return tr[t%tr.length]}function ir(t){return er[t%er.length]}function or(t){let e=0;return(n,i)=>{const o=t.getDatasetMeta(i).controller;o instanceof ti?e=function(t,e){return t.backgroundColor=t.data.map((()=>nr(e++))),e}(n,e):o instanceof ei?e=function(t,e){return t.backgroundColor=t.data.map((()=>ir(e++))),e}(n,e):o&&(e=function(t,e){return t.borderColor=nr(e),t.backgroundColor=ir(e),++e}(n,e))}}function rr(t){let e;for(e in t)if(t[e].borderColor||t[e].backgroundColor)return!0;return!1}var sr={id:"colors",defaults:{enabled:!0,forceOverride:!1},beforeLayout(t,e,n){if(!n.enabled)return;const{data:{datasets:i},options:o}=t.config,{elements:r}=o;if(!n.forceOverride&&(rr(i)||(s=o)&&(s.borderColor||s.backgroundColor)||r&&rr(r)))return;var s;const a=or(t);i.forEach(a)}};function ar(t){if(t._decimated){const e=t._data;delete t._decimated,delete t._data,Object.defineProperty(t,"data",{configurable:!0,enumerable:!0,writable:!0,value:e})}}function lr(t){t.data.datasets.forEach((t=>{ar(t)}))}var cr={id:"decimation",defaults:{algorithm:"min-max",enabled:!1},beforeElementsUpdate:(t,e,n)=>{if(!n.enabled)return void lr(t);const i=t.width;t.data.datasets.forEach(((e,o)=>{const{_data:r,indexAxis:s}=e,a=t.getDatasetMeta(o),l=r||e.data;if("y"===Re([s,t.options.indexAxis]))return;if(!a.controller.supportsDecimation)return;const c=t.scales[a.xAxisID];if("linear"!==c.type&&"time"!==c.type)return;if(t.options.parsing)return;let{start:u,count:h}=function(t,e){const n=e.length;let i,o=0;const{iScale:r}=t,{min:s,max:a,minDefined:l,maxDefined:c}=r.getUserBounds();return l&&(o=Mt(Rt(e,r.axis,s).lo,0,n-1)),i=c?Mt(Rt(e,r.axis,a).hi+1,o,n)-o:n-o,{start:o,count:i}}(a,l);if(h<=(n.threshold||4*i))return void ar(e);let d;switch(N(r)&&(e._data=l,delete e.data,Object.defineProperty(e,"data",{configurable:!0,enumerable:!0,get:function(){return this._decimated},set:function(t){this._data=t}})),n.algorithm){case"lttb":d=function(t,e,n,i,o){const r=o.samples||i;if(r>=n)return t.slice(e,e+n);const 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z(t)?(i=!0,n=t):n=function(t,e){const{x:n=null,y:i=null}=t||{},o=e.points,r=[];return e.segments.forEach((({start:t,end:e})=>{e=hr(t,e,o);const s=o[t],a=o[e];null!==i?(r.push({x:s.x,y:i}),r.push({x:a.x,y:i})):null!==n&&(r.push({x:n,y:s.y}),r.push({x:n,y:a.y}))})),r}(t,e),n.length?new $o({points:n,options:{tension:0},_loop:i,_fullLoop:i}):null}function pr(t){return t&&!1!==t.fill}function gr(t,e,n){let i=t[e].fill;const o=[e];let r;if(!n)return i;for(;!1!==i&&-1===o.indexOf(i);){if(!W(i))return i;if(r=t[i],!r)return!1;if(r.visible)return i;o.push(i),i=r.fill}return!1}function mr(t,e,n){const i=function(t){const e=t.options,n=e.fill;let i=H(n&&n.target,n);void 0===i&&(i=!!e.backgroundColor);if(!1===i||null===i)return!1;if(!0===i)return"origin";return i}(t);if(B(i))return!isNaN(i.value)&&i;let o=parseFloat(i);return W(o)&&Math.floor(o)===o?function(t,e,n,i){"-"!==t&&"+"!==t||(n=e+n);if(n===e||n<0||n>=i)return!1;return n}(i[0],e,o,n):["origin","start","end","stack","shape"].indexOf(i)>=0&&i}function br(t,e,n){const i=[];for(let o=0;o=0;--s){const e=o[s].$filler;e&&(e.line.updateControlPoints(r,e.axis),i&&e.fill&&_r(t.ctx,e,r))}},beforeDatasetsDraw(t,e,n){if("beforeDatasetsDraw"!==n.drawTime)return;const i=t.getSortedVisibleDatasetMetas();for(let o=i.length-1;o>=0;--o){const e=i[o].$filler;pr(e)&&_r(t.ctx,e,t.chartArea)}},beforeDatasetDraw(t,e,n){const i=e.meta.$filler;pr(i)&&"beforeDatasetDraw"===n.drawTime&&_r(t.ctx,i,t.chartArea)},defaults:{propagate:!0,drawTime:"beforeDatasetDraw"}};const kr=(t,e)=>{let{boxHeight:n=e,boxWidth:i=e}=t;return t.usePointStyle&&(n=Math.min(n,e),i=t.pointStyleWidth||Math.min(i,e)),{boxWidth:i,boxHeight:n,itemHeight:Math.max(e,n)}};class Mr extends Hi{constructor(t){super(),this._added=!1,this.legendHitBoxes=[],this._hoveredItem=null,this.doughnutMode=!1,this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this.legendItems=void 0,this.columnSizes=void 0,this.lineWidths=void 0,this.maxHeight=void 0,this.maxWidth=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.height=void 0,this.width=void 0,this._margins=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e,n){this.maxWidth=t,this.maxHeight=e,this._margins=n,this.setDimensions(),this.buildLabels(),this.fit()}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=this._margins.left,this.right=this.width):(this.height=this.maxHeight,this.top=this._margins.top,this.bottom=this.height)}buildLabels(){const t=this.options.labels||{};let e=$(t.generateLabels,[this.chart],this)||[];t.filter&&(e=e.filter((e=>t.filter(e,this.chart.data)))),t.sort&&(e=e.sort(((e,n)=>t.sort(e,n,this.chart.data)))),this.options.reverse&&e.reverse(),this.legendItems=e}fit(){const{options:t,ctx:e}=this;if(!t.display)return void(this.width=this.height=0);const n=t.labels,i=Te(n.font),o=i.size,r=this._computeTitleHeight(),{boxWidth:s,itemHeight:a}=kr(n,o);let l,c;e.font=i.string,this.isHorizontal()?(l=this.maxWidth,c=this._fitRows(r,o,s,a)+10):(c=this.maxHeight,l=this._fitCols(r,i,s,a)+10),this.width=Math.min(l,t.maxWidth||this.maxWidth),this.height=Math.min(c,t.maxHeight||this.maxHeight)}_fitRows(t,e,n,i){const{ctx:o,maxWidth:r,options:{labels:{padding:s}}}=this,a=this.legendHitBoxes=[],l=this.lineWidths=[0],c=i+s;let u=t;o.textAlign="left",o.textBaseline="middle";let h=-1,d=-c;return this.legendItems.forEach(((t,f)=>{const p=n+e/2+o.measureText(t.text).width;(0===f||l[l.length-1]+p+2*s>r)&&(u+=c,l[l.length-(f>0?0:1)]=0,d+=c,h++),a[f]={left:0,top:d,row:h,width:p,height:i},l[l.length-1]+=p+s})),u}_fitCols(t,e,n,i){const{ctx:o,maxHeight:r,options:{labels:{padding:s}}}=this,a=this.legendHitBoxes=[],l=this.columnSizes=[],c=r-t;let u=s,h=0,d=0,f=0,p=0;return this.legendItems.forEach(((t,r)=>{const{itemWidth:g,itemHeight:m}=function(t,e,n,i,o){const r=function(t,e,n,i){let o=t.text;o&&"string"!=typeof o&&(o=o.reduce(((t,e)=>t.length>e.length?t:e)));return e+n.size/2+i.measureText(o).width}(i,t,e,n),s=function(t,e,n){let i=t;"string"!=typeof e.text&&(i=Pr(e,n));return i}(o,i,e.lineHeight);return{itemWidth:r,itemHeight:s}}(n,e,o,t,i);r>0&&d+m+2*s>c&&(u+=h+s,l.push({width:h,height:d}),f+=h+s,p++,h=d=0),a[r]={left:f,top:d,col:p,width:g,height:m},h=Math.max(h,g),d+=m+s})),u+=h,l.push({width:h,height:d}),u}adjustHitBoxes(){if(!this.options.display)return;const t=this._computeTitleHeight(),{legendHitBoxes:e,options:{align:n,labels:{padding:i},rtl:o}}=this,r=bn(o,this.left,this.width);if(this.isHorizontal()){let o=0,s=zt(n,this.left+i,this.right-this.lineWidths[o]);for(const a of e)o!==a.row&&(o=a.row,s=zt(n,this.left+i,this.right-this.lineWidths[o])),a.top+=this.top+t+i,a.left=r.leftForLtr(r.x(s),a.width),s+=a.width+i}else{let 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y=g+c;this.legendItems.forEach(((x,v)=>{i.strokeStyle=x.fontColor,i.fillStyle=x.fontColor;const _=i.measureText(x.text).width,w=a.textAlign(x.textAlign||(x.textAlign=r.textAlign)),E=f+h+_;let O=d.x,C=d.y;a.setWidth(this.width),m?v>0&&O+E+c>this.right&&(C=d.y+=y,d.line++,O=d.x=zt(o,this.left+c,this.right-n[d.line])):v>0&&C+y>this.bottom&&(O=d.x=O+e[d.line].width+c,d.line++,C=d.y=zt(o,this.top+b+c,this.bottom-e[d.line].height));if(function(t,e,n){if(isNaN(f)||f<=0||isNaN(p)||p<0)return;i.save();const o=H(n.lineWidth,1);if(i.fillStyle=H(n.fillStyle,s),i.lineCap=H(n.lineCap,"butt"),i.lineDashOffset=H(n.lineDashOffset,0),i.lineJoin=H(n.lineJoin,"miter"),i.lineWidth=o,i.strokeStyle=H(n.strokeStyle,s),i.setLineDash(H(n.lineDash,[])),r.usePointStyle){const s={radius:p*Math.SQRT2/2,pointStyle:n.pointStyle,rotation:n.rotation,borderWidth:o},l=a.xPlus(t,f/2);de(i,s,l,e+h,r.pointStyleWidth&&f)}else{const r=e+Math.max((u-p)/2,0),s=a.leftForLtr(t,f),l=Me(n.borderRadius);i.beginPath(),Object.values(l).some((t=>0!==t))?_e(i,{x:s,y:r,w:f,h:p,radius:l}):i.rect(s,r,f,p),i.fill(),0!==o&&i.stroke()}i.restore()}(a.x(O),C,x),O=((t,e,n,i)=>t===(i?"left":"right")?n:"center"===t?(e+n)/2:e)(w,O+f+h,m?O+E:this.right,t.rtl),function(t,e,n){ve(i,n.text,t,e+g/2,l,{strikethrough:n.hidden,textAlign:a.textAlign(n.textAlign)})}(a.x(O),C,x),m)d.x+=E+c;else if("string"!=typeof x.text){const t=l.lineHeight;d.y+=Pr(x,t)+c}else d.y+=y})),xn(this.ctx,t.textDirection)}drawTitle(){const t=this.options,e=t.title,n=Te(e.font),i=Pe(e.padding);if(!e.display)return;const o=bn(t.rtl,this.left,this.width),r=this.ctx,s=e.position,a=n.size/2,l=i.top+a;let c,u=this.left,h=this.width;if(this.isHorizontal())h=Math.max(...this.lineWidths),c=this.top+l,u=zt(t.align,u,this.right-h);else{const e=this.columnSizes.reduce(((t,e)=>Math.max(t,e.height)),0);c=l+zt(t.align,this.top,this.bottom-e-t.labels.padding-this._computeTitleHeight())}const d=zt(s,u,u+h);r.textAlign=o.textAlign(Nt(s)),r.textBaseline="middle",r.strokeStyle=e.color,r.fillStyle=e.color,r.font=n.string,ve(r,e.text,d,c,n)}_computeTitleHeight(){const t=this.options.title,e=Te(t.font),n=Pe(t.padding);return t.display?e.lineHeight+n.height:0}_getLegendItemAt(t,e){let n,i,o;if(Pt(t,this.left,this.right)&&Pt(e,this.top,this.bottom))for(o=this.legendHitBoxes,n=0;nt.chart.options.color,boxWidth:40,padding:10,generateLabels(t){const e=t.data.datasets,{labels:{usePointStyle:n,pointStyle:i,textAlign:o,color:r,useBorderRadius:s,borderRadius:a}}=t.legend.options;return t._getSortedDatasetMetas().map((t=>{const l=t.controller.getStyle(n?0:void 0),c=Pe(l.borderWidth);return{text:e[t.index].label,fillStyle:l.backgroundColor,fontColor:r,hidden:!t.visible,lineCap:l.borderCapStyle,lineDash:l.borderDash,lineDashOffset:l.borderDashOffset,lineJoin:l.borderJoinStyle,lineWidth:(c.width+c.height)/4,strokeStyle:l.borderColor,pointStyle:i||l.pointStyle,rotation:l.rotation,textAlign:o||l.textAlign,borderRadius:s&&(a||l.borderRadius),datasetIndex:t.index}}),this)}},title:{color:t=>t.chart.options.color,display:!1,position:"center",text:""}},descriptors:{_scriptable:t=>!t.startsWith("on"),labels:{_scriptable:t=>!["generateLabels","filter","sort"].includes(t)}}};class Rr extends Hi{constructor(t){super(),this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this._padding=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e){const n=this.options;if(this.left=0,this.top=0,!n.display)return void(this.width=this.height=this.right=this.bottom=0);this.width=this.right=t,this.height=this.bottom=e;const i=z(n.text)?n.text.length:1;this._padding=Pe(n.padding);const o=i*Te(n.font).lineHeight+this._padding.height;this.isHorizontal()?this.height=o:this.width=o}isHorizontal(){const t=this.options.position;return"top"===t||"bottom"===t}_drawArgs(t){const{top:e,left:n,bottom:i,right:o,options:r}=this,s=r.align;let a,l,c,u=0;return this.isHorizontal()?(l=zt(s,n,o),c=e+t,a=o-n):("left"===r.position?(l=n+t,c=zt(s,i,e),u=-.5*st):(l=o-t,c=zt(s,e,i),u=.5*st),a=i-e),{titleX:l,titleY:c,maxWidth:a,rotation:u}}draw(){const t=this.ctx,e=this.options;if(!e.display)return;const n=Te(e.font),i=n.lineHeight/2+this._padding.top,{titleX:o,titleY:r,maxWidth:s,rotation:a}=this._drawArgs(i);ve(t,e.text,0,0,n,{color:e.color,maxWidth:s,rotation:a,textAlign:Nt(e.align),textBaseline:"middle",translation:[o,r]})}}var Dr={id:"title",_element:Rr,start(t,e,n){!function(t,e){const n=new Rr({ctx:t.ctx,options:e,chart:t});Ci.configure(t,n,e),Ci.addBox(t,n),t.titleBlock=n}(t,n)},stop(t){const e=t.titleBlock;Ci.removeBox(t,e),delete t.titleBlock},beforeUpdate(t,e,n){const i=t.titleBlock;Ci.configure(t,i,n),i.options=n},defaults:{align:"center",display:!1,font:{weight:"bold"},fullSize:!0,padding:10,position:"top",text:"",weight:2e3},defaultRoutes:{color:"color"},descriptors:{_scriptable:!0,_indexable:!1}};const Ir=new WeakMap;var Ar={id:"subtitle",start(t,e,n){const i=new Rr({ctx:t.ctx,options:n,chart:t});Ci.configure(t,i,n),Ci.addBox(t,i),Ir.set(t,i)},stop(t){Ci.removeBox(t,Ir.get(t)),Ir.delete(t)},beforeUpdate(t,e,n){const i=Ir.get(t);Ci.configure(t,i,n),i.options=n},defaults:{align:"center",display:!1,font:{weight:"normal"},fullSize:!0,padding:0,position:"top",text:"",weight:1500},defaultRoutes:{color:"color"},descriptors:{_scriptable:!0,_indexable:!1}};const jr={average(t){if(!t.length)return!1;let e,n,i=0,o=0,r=0;for(e=0,n=t.length;e-1?t.split("\n"):t}function Nr(t,e){const{element:n,datasetIndex:i,index:o}=e,r=t.getDatasetMeta(i).controller,{label:s,value:a}=r.getLabelAndValue(o);return{chart:t,label:s,parsed:r.getParsed(o),raw:t.data.datasets[i].data[o],formattedValue:a,dataset:r.getDataset(),dataIndex:o,datasetIndex:i,element:n}}function zr(t,e){const n=t.chart.ctx,{body:i,footer:o,title:r}=t,{boxWidth:s,boxHeight:a}=e,l=Te(e.bodyFont),c=Te(e.titleFont),u=Te(e.footerFont),h=r.length,d=o.length,f=i.length,p=Pe(e.padding);let g=p.height,m=0,b=i.reduce(((t,e)=>t+e.before.length+e.lines.length+e.after.length),0);if(b+=t.beforeBody.length+t.afterBody.length,h&&(g+=h*c.lineHeight+(h-1)*e.titleSpacing+e.titleMarginBottom),b){g+=f*(e.displayColors?Math.max(a,l.lineHeight):l.lineHeight)+(b-f)*l.lineHeight+(b-1)*e.bodySpacing}d&&(g+=e.footerMarginTop+d*u.lineHeight+(d-1)*e.footerSpacing);let y=0;const x=function(t){m=Math.max(m,n.measureText(t).width+y)};return n.save(),n.font=c.string,q(t.title,x),n.font=l.string,q(t.beforeBody.concat(t.afterBody),x),y=e.displayColors?s+2+e.boxPadding:0,q(i,(t=>{q(t.before,x),q(t.lines,x),q(t.after,x)})),y=0,n.font=u.string,q(t.footer,x),n.restore(),m+=p.width,{width:m,height:g}}function Br(t,e,n,i){const{x:o,width:r}=n,{width:s,chartArea:{left:a,right:l}}=t;let c="center";return"center"===i?c=o<=(a+l)/2?"left":"right":o<=r/2?c="left":o>=s-r/2&&(c="right"),function(t,e,n,i){const{x:o,width:r}=i,s=n.caretSize+n.caretPadding;return"left"===t&&o+r+s>e.width||"right"===t&&o-r-s<0||void 0}(c,t,e,n)&&(c="center"),c}function Wr(t,e,n){const i=n.yAlign||e.yAlign||function(t,e){const{y:n,height:i}=e;return nt.height-i/2?"bottom":"center"}(t,n);return{xAlign:n.xAlign||e.xAlign||Br(t,e,n,i),yAlign:i}}function Vr(t,e,n,i){const{caretSize:o,caretPadding:r,cornerRadius:s}=t,{xAlign:a,yAlign:l}=n,c=o+r,{topLeft:u,topRight:h,bottomLeft:d,bottomRight:f}=Me(s);let p=function(t,e){let{x:n,width:i}=t;return"right"===e?n-=i:"center"===e&&(n-=i/2),n}(e,a);const g=function(t,e,n){let{y:i,height:o}=t;return"top"===e?i+=n:i-="bottom"===e?o+n:o/2,i}(e,l,c);return"center"===l?"left"===a?p+=c:"right"===a&&(p-=c):"left"===a?p-=Math.max(u,d)+o:"right"===a&&(p+=Math.max(h,f)+o),{x:Mt(p,0,i.width-e.width),y:Mt(g,0,i.height-e.height)}}function Hr(t,e,n){const i=Pe(n.padding);return"center"===e?t.x+t.width/2:"right"===e?t.x+t.width-i.right:t.x+i.left}function Ur(t){return Fr([],Lr(t))}function $r(t,e){const n=e&&e.dataset&&e.dataset.tooltip&&e.dataset.tooltip.callbacks;return n?t.override(n):t}const qr={beforeTitle:F,title(t){if(t.length>0){const e=t[0],n=e.chart.data.labels,i=n?n.length:0;if(this&&this.options&&"dataset"===this.options.mode)return e.dataset.label||"";if(e.label)return e.label;if(i>0&&e.dataIndex{const e={before:[],lines:[],after:[]},o=$r(n,t);Fr(e.before,Lr(Yr(o,"beforeLabel",this,t))),Fr(e.lines,Yr(o,"label",this,t)),Fr(e.after,Lr(Yr(o,"afterLabel",this,t))),i.push(e)})),i}getAfterBody(t,e){return Ur(Yr(e.callbacks,"afterBody",this,t))}getFooter(t,e){const{callbacks:n}=e,i=Yr(n,"beforeFooter",this,t),o=Yr(n,"footer",this,t),r=Yr(n,"afterFooter",this,t);let s=[];return s=Fr(s,Lr(i)),s=Fr(s,Lr(o)),s=Fr(s,Lr(r)),s}_createItems(t){const e=this._active,n=this.chart.data,i=[],o=[],r=[];let s,a,l=[];for(s=0,a=e.length;st.filter(e,i,o,n)))),t.itemSort&&(l=l.sort(((e,i)=>t.itemSort(e,i,n)))),q(l,(e=>{const n=$r(t.callbacks,e);i.push(Yr(n,"labelColor",this,e)),o.push(Yr(n,"labelPointStyle",this,e)),r.push(Yr(n,"labelTextColor",this,e))})),this.labelColors=i,this.labelPointStyles=o,this.labelTextColors=r,this.dataPoints=l,l}update(t,e){const n=this.options.setContext(this.getContext()),i=this._active;let o,r=[];if(i.length){const t=jr[n.position].call(this,i,this._eventPosition);r=this._createItems(n),this.title=this.getTitle(r,n),this.beforeBody=this.getBeforeBody(r,n),this.body=this.getBody(r,n),this.afterBody=this.getAfterBody(r,n),this.footer=this.getFooter(r,n);const e=this._size=zr(this,n),s=Object.assign({},t,e),a=Wr(this.chart,n,s),l=Vr(n,s,a,this.chart);this.xAlign=a.xAlign,this.yAlign=a.yAlign,o={opacity:1,x:l.x,y:l.y,width:e.width,height:e.height,caretX:t.x,caretY:t.y}}else 0!==this.opacity&&(o={opacity:0});this._tooltipItems=r,this.$context=void 0,o&&this._resolveAnimations().update(this,o),t&&n.external&&n.external.call(this,{chart:this.chart,tooltip:this,replay:e})}drawCaret(t,e,n,i){const o=this.getCaretPosition(t,n,i);e.lineTo(o.x1,o.y1),e.lineTo(o.x2,o.y2),e.lineTo(o.x3,o.y3)}getCaretPosition(t,e,n){const{xAlign:i,yAlign:o}=this,{caretSize:r,cornerRadius:s}=n,{topLeft:a,topRight:l,bottomLeft:c,bottomRight:u}=Me(s),{x:h,y:d}=t,{width:f,height:p}=e;let g,m,b,y,x,v;return"center"===o?(x=d+p/2,"left"===i?(g=h,m=g-r,y=x+r,v=x-r):(g=h+f,m=g+r,y=x-r,v=x+r),b=g):(m="left"===i?h+Math.max(a,c)+r:"right"===i?h+f-Math.max(l,u)-r:this.caretX,"top"===o?(y=d,x=y-r,g=m-r,b=m+r):(y=d+p,x=y+r,g=m+r,b=m-r),v=y),{x1:g,x2:m,x3:b,y1:y,y2:x,y3:v}}drawTitle(t,e,n){const i=this.title,o=i.length;let r,s,a;if(o){const l=bn(n.rtl,this.x,this.width);for(t.x=Hr(this,n.titleAlign,n),e.textAlign=l.textAlign(n.titleAlign),e.textBaseline="middle",r=Te(n.titleFont),s=n.titleSpacing,e.fillStyle=n.titleColor,e.font=r.string,a=0;a0!==t))?(t.beginPath(),t.fillStyle=o.multiKeyBackground,_e(t,{x:e,y:f,w:l,h:a,radius:s}),t.fill(),t.stroke(),t.fillStyle=r.backgroundColor,t.beginPath(),_e(t,{x:n,y:f+1,w:l-2,h:a-2,radius:s}),t.fill()):(t.fillStyle=o.multiKeyBackground,t.fillRect(e,f,l,a),t.strokeRect(e,f,l,a),t.fillStyle=r.backgroundColor,t.fillRect(n,f+1,l-2,a-2))}t.fillStyle=this.labelTextColors[n]}drawBody(t,e,n){const{body:i}=this,{bodySpacing:o,bodyAlign:r,displayColors:s,boxHeight:a,boxWidth:l,boxPadding:c}=n,u=Te(n.bodyFont);let h=u.lineHeight,d=0;const f=bn(n.rtl,this.x,this.width),p=function(n){e.fillText(n,f.x(t.x+d),t.y+h/2),t.y+=h+o},g=f.textAlign(r);let m,b,y,x,v,_,w;for(e.textAlign=r,e.textBaseline="middle",e.font=u.string,t.x=Hr(this,g,n),e.fillStyle=n.bodyColor,q(this.beforeBody,p),d=s&&"right"!==g?"center"===r?l/2+c:l+2+c:0,x=0,_=i.length;x<_;++x){for(m=i[x],b=this.labelTextColors[x],e.fillStyle=b,q(m.before,p),y=m.lines,s&&y.length&&(this._drawColorBox(e,t,x,f,n),h=Math.max(u.lineHeight,a)),v=0,w=y.length;v0&&e.stroke()}_updateAnimationTarget(t){const e=this.chart,n=this.$animations,i=n&&n.x,o=n&&n.y;if(i||o){const n=jr[t.position].call(this,this._active,this._eventPosition);if(!n)return;const r=this._size=zr(this,t),s=Object.assign({},n,this._size),a=Wr(e,t,s),l=Vr(t,s,a,e);i._to===l.x&&o._to===l.y||(this.xAlign=a.xAlign,this.yAlign=a.yAlign,this.width=r.width,this.height=r.height,this.caretX=n.x,this.caretY=n.y,this._resolveAnimations().update(this,l))}}_willRender(){return!!this.opacity}draw(t){const e=this.options.setContext(this.getContext());let n=this.opacity;if(!n)return;this._updateAnimationTarget(e);const i={width:this.width,height:this.height},o={x:this.x,y:this.y};n=Math.abs(n)<.001?0:n;const r=Pe(e.padding),s=this.title.length||this.beforeBody.length||this.body.length||this.afterBody.length||this.footer.length;e.enabled&&s&&(t.save(),t.globalAlpha=n,this.drawBackground(o,t,i,e),yn(t,e.textDirection),o.y+=r.top,this.drawTitle(o,t,e),this.drawBody(o,t,e),this.drawFooter(o,t,e),xn(t,e.textDirection),t.restore())}getActiveElements(){return this._active||[]}setActiveElements(t,e){const n=this._active,i=t.map((({datasetIndex:t,index:e})=>{const n=this.chart.getDatasetMeta(t);if(!n)throw new Error("Cannot find a dataset at index "+t);return{datasetIndex:t,element:n.data[e],index:e}})),o=!Y(n,i),r=this._positionChanged(i,e);(o||r)&&(this._active=i,this._eventPosition=e,this._ignoreReplayEvents=!0,this.update(!0))}handleEvent(t,e,n=!0){if(e&&this._ignoreReplayEvents)return!1;this._ignoreReplayEvents=!1;const i=this.options,o=this._active||[],r=this._getActiveElements(t,o,e,n),s=this._positionChanged(r,t),a=e||!Y(r,o)||s;return a&&(this._active=r,(i.enabled||i.external)&&(this._eventPosition={x:t.x,y:t.y},this.update(!0,e))),a}_getActiveElements(t,e,n,i){const o=this.options;if("mouseout"===t.type)return[];if(!i)return e.filter((t=>this.chart.data.datasets[t.datasetIndex]&&void 0!==this.chart.getDatasetMeta(t.datasetIndex).controller.getParsed(t.index)));const r=this.chart.getElementsAtEventForMode(t,o.mode,o,n);return o.reverse&&r.reverse(),r}_positionChanged(t,e){const{caretX:n,caretY:i,options:o}=this,r=jr[o.position].call(this,t,e);return!1!==r&&(n!==r.x||i!==r.y)}}var Xr={id:"tooltip",_element:Kr,positioners:jr,afterInit(t,e,n){n&&(t.tooltip=new Kr({chart:t,options:n}))},beforeUpdate(t,e,n){t.tooltip&&t.tooltip.initialize(n)},reset(t,e,n){t.tooltip&&t.tooltip.initialize(n)},afterDraw(t){const e=t.tooltip;if(e&&e._willRender()){const n={tooltip:e};if(!1===t.notifyPlugins("beforeTooltipDraw",{...n,cancelable:!0}))return;e.draw(t.ctx),t.notifyPlugins("afterTooltipDraw",n)}},afterEvent(t,e){if(t.tooltip){const 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Gr(t,e,n,i){const o=t.indexOf(e);if(-1===o)return((t,e,n,i)=>("string"==typeof e?(n=t.push(e)-1,i.unshift({index:n,label:e})):isNaN(e)&&(n=null),n))(t,e,n,i);return o!==t.lastIndexOf(e)?n:o}function Jr(t){const e=this.getLabels();return t>=0&&tf&&(O=bt(E*O/f/d)*d),N(a)||(v=Math.pow(10,a),O=Math.ceil(O*v)/v),"ticks"===i?(_=Math.floor(p/O)*O,w=Math.ceil(g/O)*O):(_=p,w=g),m&&b&&o&&function(t,e){const n=Math.round(t);return n-e<=t&&n+e>=t}((s-r)/o,O/1e3)?(E=Math.round(Math.min((s-r)/O,c)),O=(s-r)/E,_=r,w=s):y?(_=m?r:_,w=b?s:w,E=l-1,O=(w-_)/E):(E=(w-_)/O,E=mt(E,Math.round(E),O/1e3)?Math.round(E):Math.ceil(E));const C=Math.max(wt(O),wt(_));v=Math.pow(10,N(a)?C:a),_=Math.round(_*v)/v,w=Math.round(w*v)/v;let S=0;for(m&&(h&&_!==r?(n.push({value:r}),_s)break;n.push({value:t})}return b&&h&&w!==s?n.length&&mt(n[n.length-1].value,s,ts(s,x,t))?n[n.length-1].value=s:n.push({value:s}):b&&w!==s||n.push({value:w}),n}function ts(t,e,{horizontal:n,minRotation:i}){const o=vt(i),r=(n?Math.sin(o):Math.cos(o))||.001,s=.75*e*(""+t).length;return Math.min(e/r,s)}class es extends Qi{constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._endValue=void 0,this._valueRange=0}parse(t,e){return N(t)||("number"==typeof t||t instanceof Number)&&!isFinite(+t)?null:+t}handleTickRangeOptions(){const{beginAtZero:t}=this.options,{minDefined:e,maxDefined:n}=this.getUserBounds();let{min:i,max:o}=this;const r=t=>i=e?i:t,s=t=>o=n?o:t;if(t){const t=gt(i),e=gt(o);t<0&&e<0?s(0):t>0&&e>0&&r(0)}if(i===o){let e=0===o?1:Math.abs(.05*o);s(o+e),t||r(i-e)}this.min=i,this.max=o}getTickLimit(){const t=this.options.ticks;let e,{maxTicksLimit:n,stepSize:i}=t;return i?(e=Math.ceil(this.max/i)-Math.floor(this.min/i)+1,e>1e3&&(console.warn(`scales.${this.id}.ticks.stepSize: ${i} would result generating up to ${e} ticks. Limiting to 1000.`),e=1e3)):(e=this.computeTickLimit(),n=n||11),n&&(e=Math.min(n,e)),e}computeTickLimit(){return Number.POSITIVE_INFINITY}buildTicks(){const t=this.options,e=t.ticks;let n=this.getTickLimit();n=Math.max(2,n);const i=Qr({maxTicks:n,bounds:t.bounds,min:t.min,max:t.max,precision:e.precision,step:e.stepSize,count:e.count,maxDigits:this._maxDigits(),horizontal:this.isHorizontal(),minRotation:e.minRotation||0,includeBounds:!1!==e.includeBounds},this._range||this);return"ticks"===t.bounds&&xt(i,this,"value"),t.reverse?(i.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),i}configure(){const t=this.ticks;let e=this.min,n=this.max;if(super.configure(),this.options.offset&&t.length){const i=(n-e)/Math.max(t.length-1,1)/2;e-=i,n+=i}this._startValue=e,this._endValue=n,this._valueRange=n-e}getLabelForValue(t){return Jt(t,this.chart.options.locale,this.options.ticks.format)}}class ns extends es{static id="linear";static defaults={ticks:{callback:te.formatters.numeric}};determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=W(t)?t:0,this.max=W(e)?e:1,this.handleTickRangeOptions()}computeTickLimit(){const t=this.isHorizontal(),e=t?this.width:this.height,n=vt(this.options.ticks.minRotation),i=(t?Math.sin(n):Math.cos(n))||.001,o=this._resolveTickFontOptions(0);return Math.ceil(e/Math.min(40,o.lineHeight/i))}getPixelForValue(t){return null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getValueForPixel(t){return this._startValue+this.getDecimalForPixel(t)*this._valueRange}}const is=t=>Math.floor(pt(t)),os=(t,e)=>Math.pow(10,is(t)+e);function rs(t){return 1===t/Math.pow(10,is(t))}function ss(t,e,n){const i=Math.pow(10,n),o=Math.floor(t/i);return Math.ceil(e/i)-o}function as(t,{min:e,max:n}){e=V(t.min,e);const i=[],o=is(e);let r=function(t,e){let n=is(e-t);for(;ss(t,e,n)>10;)n++;for(;ss(t,e,n)<10;)n--;return Math.min(n,is(t))}(e,n),s=r<0?Math.pow(10,Math.abs(r)):1;const a=Math.pow(10,r),l=o>r?Math.pow(10,o):0,c=Math.round((e-l)*s)/s,u=Math.floor((e-l)/a/10)*a*10;let h=Math.floor((c-u)/Math.pow(10,r)),d=V(t.min,Math.round((l+u+h*Math.pow(10,r))*s)/s);for(;d=10?h=h<15?15:20:h++,h>=20&&(r++,h=2,s=r>=0?1:s),d=Math.round((l+u+h*Math.pow(10,r))*s)/s;const f=V(t.max,d);return i.push({value:f,major:rs(f),significand:h}),i}class ls extends Qi{static id="logarithmic";static defaults={ticks:{callback:te.formatters.logarithmic,major:{enabled:!0}}};constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._valueRange=0}parse(t,e){const n=es.prototype.parse.apply(this,[t,e]);if(0!==n)return W(n)&&n>0?n:null;this._zero=!0}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=W(t)?Math.max(0,t):null,this.max=W(e)?Math.max(0,e):null,this.options.beginAtZero&&(this._zero=!0),this._zero&&this.min!==this._suggestedMin&&!W(this._userMin)&&(this.min=t===os(this.min,0)?os(this.min,-1):os(this.min,0)),this.handleTickRangeOptions()}handleTickRangeOptions(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let n=this.min,i=this.max;const o=e=>n=t?n:e,r=t=>i=e?i:t;n===i&&(n<=0?(o(1),r(10)):(o(os(n,-1)),r(os(i,1)))),n<=0&&o(os(i,-1)),i<=0&&r(os(n,1)),this.min=n,this.max=i}buildTicks(){const t=this.options,e=as({min:this._userMin,max:this._userMax},this);return"ticks"===t.bounds&&xt(e,this,"value"),t.reverse?(e.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),e}getLabelForValue(t){return void 0===t?"0":Jt(t,this.chart.options.locale,this.options.ticks.format)}configure(){const t=this.min;super.configure(),this._startValue=pt(t),this._valueRange=pt(this.max)-pt(t)}getPixelForValue(t){return void 0!==t&&0!==t||(t=this.min),null===t||isNaN(t)?NaN:this.getPixelForDecimal(t===this.min?0:(pt(t)-this._startValue)/this._valueRange)}getValueForPixel(t){const e=this.getDecimalForPixel(t);return Math.pow(10,this._startValue+e*this._valueRange)}}function cs(t){const e=t.ticks;if(e.display&&t.display){const t=Pe(e.backdropPadding);return H(e.font&&e.font.size,se.font.size)+t.height}return 0}function us(t,e,n,i,o){return t===i||t===o?{start:e-n/2,end:e+n/2}:to?{start:e-n,end:e}:{start:e,end:e+n}}function hs(t){const e={l:t.left+t._padding.left,r:t.right-t._padding.right,t:t.top+t._padding.top,b:t.bottom-t._padding.bottom},n=Object.assign({},e),i=[],o=[],r=t._pointLabels.length,s=t.options.pointLabels,a=s.centerPointLabels?st/r:0;for(let h=0;he.r&&(a=(i.end-e.r)/r,t.r=Math.max(t.r,e.r+a)),o.starte.b&&(l=(o.end-e.b)/s,t.b=Math.max(t.b,e.b+l))}function fs(t,e,n){const i=t.drawingArea,{extra:o,additionalAngle:r,padding:s,size:a}=n,l=t.getPointPosition(e,i+o+s,r),c=Math.round(_t(St(l.angle+ht))),u=function(t,e,n){90===n||270===n?t-=e/2:(n>270||n<90)&&(t-=e);return t}(l.y,a.h,c),h=function(t){if(0===t||180===t)return"center";if(t<180)return"left";return"right"}(c),d=function(t,e,n){"right"===n?t-=e:"center"===n&&(t-=e/2);return t}(l.x,a.w,h);return{visible:!0,x:l.x,y:u,textAlign:h,left:d,top:u,right:d+a.w,bottom:u+a.h}}function ps(t,e){if(!e)return!0;const{left:n,top:i,right:o,bottom:r}=t;return!(fe({x:n,y:i},e)||fe({x:n,y:r},e)||fe({x:o,y:i},e)||fe({x:o,y:r},e))}function gs(t,e,n){const{left:i,top:o,right:r,bottom:s}=n,{backdropColor:a}=e;if(!N(a)){const n=Me(e.borderRadius),l=Pe(e.backdropPadding);t.fillStyle=a;const c=i-l.left,u=o-l.top,h=r-i+l.width,d=s-o+l.height;Object.values(n).some((t=>0!==t))?(t.beginPath(),_e(t,{x:c,y:u,w:h,h:d,radius:n}),t.fill()):t.fillRect(c,u,h,d)}}function ms(t,e,n,i){const{ctx:o}=t;if(n)o.arc(t.xCenter,t.yCenter,e,0,at);else{let n=t.getPointPosition(0,e);o.moveTo(n.x,n.y);for(let r=1;rt,padding:5,centerPointLabels:!1}};static defaultRoutes={"angleLines.color":"borderColor","pointLabels.color":"color","ticks.color":"color"};static descriptors={angleLines:{_fallback:"grid"}};constructor(t){super(t),this.xCenter=void 0,this.yCenter=void 0,this.drawingArea=void 0,this._pointLabels=[],this._pointLabelItems=[]}setDimensions(){const t=this._padding=Pe(cs(this.options)/2),e=this.width=this.maxWidth-t.width,n=this.height=this.maxHeight-t.height;this.xCenter=Math.floor(this.left+e/2+t.left),this.yCenter=Math.floor(this.top+n/2+t.top),this.drawingArea=Math.floor(Math.min(e,n)/2)}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!1);this.min=W(t)&&!isNaN(t)?t:0,this.max=W(e)&&!isNaN(e)?e:0,this.handleTickRangeOptions()}computeTickLimit(){return Math.ceil(this.drawingArea/cs(this.options))}generateTickLabels(t){es.prototype.generateTickLabels.call(this,t),this._pointLabels=this.getLabels().map(((t,e)=>{const n=$(this.options.pointLabels.callback,[t,e],this);return n||0===n?n:""})).filter(((t,e)=>this.chart.getDataVisibility(e)))}fit(){const t=this.options;t.display&&t.pointLabels.display?hs(this):this.setCenterPoint(0,0,0,0)}setCenterPoint(t,e,n,i){this.xCenter+=Math.floor((t-e)/2),this.yCenter+=Math.floor((n-i)/2),this.drawingArea-=Math.min(this.drawingArea/2,Math.max(t,e,n,i))}getIndexAngle(t){return St(t*(at/(this._pointLabels.length||1))+vt(this.options.startAngle||0))}getDistanceFromCenterForValue(t){if(N(t))return NaN;const e=this.drawingArea/(this.max-this.min);return this.options.reverse?(this.max-t)*e:(t-this.min)*e}getValueForDistanceFromCenter(t){if(N(t))return NaN;const e=t/(this.drawingArea/(this.max-this.min));return this.options.reverse?this.max-e:this.min+e}getPointLabelContext(t){const e=this._pointLabels||[];if(t>=0&&t=0;o--){const e=t._pointLabelItems[o];if(!e.visible)continue;const r=i.setContext(t.getPointLabelContext(o));gs(n,r,e);const s=Te(r.font),{x:a,y:l,textAlign:c}=e;ve(n,t._pointLabels[o],a,l+s.lineHeight/2,s,{color:r.color,textAlign:c,textBaseline:"middle"})}}(this,r),i.display&&this.ticks.forEach(((t,e)=>{if(0!==e){a=this.getDistanceFromCenterForValue(t.value);const n=this.getContext(e),s=i.setContext(n),l=o.setContext(n);!function(t,e,n,i,o){const r=t.ctx,s=e.circular,{color:a,lineWidth:l}=e;!s&&!i||!a||!l||n<0||(r.save(),r.strokeStyle=a,r.lineWidth=l,r.setLineDash(o.dash),r.lineDashOffset=o.dashOffset,r.beginPath(),ms(t,n,s,i),r.closePath(),r.stroke(),r.restore())}(this,s,a,r,l)}})),n.display){for(t.save(),s=r-1;s>=0;s--){const i=n.setContext(this.getPointLabelContext(s)),{color:o,lineWidth:r}=i;r&&o&&(t.lineWidth=r,t.strokeStyle=o,t.setLineDash(i.borderDash),t.lineDashOffset=i.borderDashOffset,a=this.getDistanceFromCenterForValue(e.ticks.reverse?this.min:this.max),l=this.getPointPosition(s,a),t.beginPath(),t.moveTo(this.xCenter,this.yCenter),t.lineTo(l.x,l.y),t.stroke())}t.restore()}}drawBorder(){}drawLabels(){const t=this.ctx,e=this.options,n=e.ticks;if(!n.display)return;const i=this.getIndexAngle(0);let o,r;t.save(),t.translate(this.xCenter,this.yCenter),t.rotate(i),t.textAlign="center",t.textBaseline="middle",this.ticks.forEach(((i,s)=>{if(0===s&&!e.reverse)return;const a=n.setContext(this.getContext(s)),l=Te(a.font);if(o=this.getDistanceFromCenterForValue(this.ticks[s].value),a.showLabelBackdrop){t.font=l.string,r=t.measureText(i.label).width,t.fillStyle=a.backdropColor;const e=Pe(a.backdropPadding);t.fillRect(-r/2-e.left,-o-l.size/2-e.top,r+e.width,l.size+e.height)}ve(t,i.label,0,-o,l,{color:a.color,strokeColor:a.textStrokeColor,strokeWidth:a.textStrokeWidth})})),t.restore()}drawTitle(){}}const ys={millisecond:{common:!0,size:1,steps:1e3},second:{common:!0,size:1e3,steps:60},minute:{common:!0,size:6e4,steps:60},hour:{common:!0,size:36e5,steps:24},day:{common:!0,size:864e5,steps:30},week:{common:!1,size:6048e5,steps:4},month:{common:!0,size:2628e6,steps:12},quarter:{common:!1,size:7884e6,steps:4},year:{common:!0,size:3154e7}},xs=Object.keys(ys);function vs(t,e){return t-e}function _s(t,e){if(N(e))return null;const n=t._adapter,{parser:i,round:o,isoWeekday:r}=t._parseOpts;let s=e;return"function"==typeof i&&(s=i(s)),W(s)||(s="string"==typeof i?n.parse(s,i):n.parse(s)),null===s?null:(o&&(s="week"!==o||!yt(r)&&!0!==r?n.startOf(s,o):n.startOf(s,"isoWeek",r)),+s)}function ws(t,e,n,i){const o=xs.length;for(let r=xs.indexOf(t);r=e?n[i]:n[o]]=!0}}else t[e]=!0}function Os(t,e,n){const i=[],o={},r=e.length;let s,a;for(s=0;s=0&&(e[l].major=!0);return e}(t,i,o,n):i}class Cs extends Qi{static id="time";static defaults={bounds:"data",adapters:{},time:{parser:!1,unit:!1,round:!1,isoWeekday:!1,minUnit:"millisecond",displayFormats:{}},ticks:{source:"auto",callback:!1,major:{enabled:!1}}};constructor(t){super(t),this._cache={data:[],labels:[],all:[]},this._unit="day",this._majorUnit=void 0,this._offsets={},this._normalized=!1,this._parseOpts=void 0}init(t,e={}){const n=t.time||(t.time={}),i=this._adapter=new ri(t.adapters.date);i.init(e),J(n.displayFormats,i.formats()),this._parseOpts={parser:n.parser,round:n.round,isoWeekday:n.isoWeekday},super.init(t),this._normalized=e.normalized}parse(t,e){return void 0===t?null:_s(this,t)}beforeLayout(){super.beforeLayout(),this._cache={data:[],labels:[],all:[]}}determineDataLimits(){const t=this.options,e=this._adapter,n=t.time.unit||"day";let{min:i,max:o,minDefined:r,maxDefined:s}=this.getUserBounds();function a(t){r||isNaN(t.min)||(i=Math.min(i,t.min)),s||isNaN(t.max)||(o=Math.max(o,t.max))}r&&s||(a(this._getLabelBounds()),"ticks"===t.bounds&&"labels"===t.ticks.source||a(this.getMinMax(!1))),i=W(i)&&!isNaN(i)?i:+e.startOf(Date.now(),n),o=W(o)&&!isNaN(o)?o:+e.endOf(Date.now(),n)+1,this.min=Math.min(i,o-1),this.max=Math.max(i+1,o)}_getLabelBounds(){const t=this.getLabelTimestamps();let e=Number.POSITIVE_INFINITY,n=Number.NEGATIVE_INFINITY;return t.length&&(e=t[0],n=t[t.length-1]),{min:e,max:n}}buildTicks(){const t=this.options,e=t.time,n=t.ticks,i="labels"===n.source?this.getLabelTimestamps():this._generate();"ticks"===t.bounds&&i.length&&(this.min=this._userMin||i[0],this.max=this._userMax||i[i.length-1]);const o=this.min,r=function(t,e,n){let i=0,o=t.length;for(;ii&&t[o-1]>n;)o--;return i>0||o=xs.indexOf(n);r--){const n=xs[r];if(ys[n].common&&t._adapter.diff(o,i,n)>=e-1)return n}return xs[n?xs.indexOf(n):0]}(this,r.length,e.minUnit,this.min,this.max)),this._majorUnit=n.major.enabled&&"year"!==this._unit?function(t){for(let e=xs.indexOf(t)+1,n=xs.length;e+t.value)))}initOffsets(t=[]){let e,n,i=0,o=0;this.options.offset&&t.length&&(e=this.getDecimalForValue(t[0]),i=1===t.length?1-e:(this.getDecimalForValue(t[1])-e)/2,n=this.getDecimalForValue(t[t.length-1]),o=1===t.length?n:(n-this.getDecimalForValue(t[t.length-2]))/2);const r=t.length<3?.5:.25;i=Mt(i,0,r),o=Mt(o,0,r),this._offsets={start:i,end:o,factor:1/(i+1+o)}}_generate(){const t=this._adapter,e=this.min,n=this.max,i=this.options,o=i.time,r=o.unit||ws(o.minUnit,e,n,this._getLabelCapacity(e)),s=H(i.ticks.stepSize,1),a="week"===r&&o.isoWeekday,l=yt(a)||!0===a,c={};let u,h,d=e;if(l&&(d=+t.startOf(d,"isoWeek",a)),d=+t.startOf(d,l?"day":r),t.diff(n,e,r)>1e5*s)throw new Error(e+" and "+n+" are too far apart with stepSize of "+s+" "+r);const f="data"===i.ticks.source&&this.getDataTimestamps();for(u=d,h=0;u+t))}getLabelForValue(t){const e=this._adapter,n=this.options.time;return n.tooltipFormat?e.format(t,n.tooltipFormat):e.format(t,n.displayFormats.datetime)}format(t,e){const n=this.options.time.displayFormats,i=this._unit,o=e||n[i];return this._adapter.format(t,o)}_tickFormatFunction(t,e,n,i){const o=this.options,r=o.ticks.callback;if(r)return $(r,[t,e,n],this);const s=o.time.displayFormats,a=this._unit,l=this._majorUnit,c=a&&s[a],u=l&&s[l],h=n[e],d=l&&u&&h&&h.major;return this._adapter.format(t,i||(d?u:c))}generateTickLabels(t){let e,n,i;for(e=0,n=t.length;e0?s:1}getDataTimestamps(){let t,e,n=this._cache.data||[];if(n.length)return n;const i=this.getMatchingVisibleMetas();if(this._normalized&&i.length)return this._cache.data=i[0].controller.getAllParsedValues(this);for(t=0,e=i.length;t=t[a].pos&&e<=t[l].pos&&({lo:a,hi:l}=Rt(t,"pos",e)),({pos:i,time:r}=t[a]),({pos:o,time:s}=t[l])):(e>=t[a].time&&e<=t[l].time&&({lo:a,hi:l}=Rt(t,"time",e)),({time:i,pos:r}=t[a]),({time:o,pos:s}=t[l]));const c=o-i;return c?r+(s-r)*(e-i)/c:r}var ks=Object.freeze({__proto__:null,CategoryScale:class extends Qi{static id="category";static defaults={ticks:{callback:Jr}};constructor(t){super(t),this._startValue=void 0,this._valueRange=0,this._addedLabels=[]}init(t){const e=this._addedLabels;if(e.length){const t=this.getLabels();for(const{index:n,label:i}of e)t[n]===i&&t.splice(n,1);this._addedLabels=[]}super.init(t)}parse(t,e){if(N(t))return null;const n=this.getLabels();return((t,e)=>null===t?null:Mt(Math.round(t),0,e))(e=isFinite(e)&&n[e]===t?e:Gr(n,t,H(e,t),this._addedLabels),n.length-1)}determineDataLimits(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let{min:n,max:i}=this.getMinMax(!0);"ticks"===this.options.bounds&&(t||(n=0),e||(i=this.getLabels().length-1)),this.min=n,this.max=i}buildTicks(){const t=this.min,e=this.max,n=this.options.offset,i=[];let o=this.getLabels();o=0===t&&e===o.length-1?o:o.slice(t,e+1),this._valueRange=Math.max(o.length-(n?0:1),1),this._startValue=this.min-(n?.5:0);for(let r=t;r<=e;r++)i.push({value:r});return i}getLabelForValue(t){return Jr.call(this,t)}configure(){super.configure(),this.isHorizontal()||(this._reversePixels=!this._reversePixels)}getPixelForValue(t){return"number"!=typeof t&&(t=this.parse(t)),null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getValueForPixel(t){return Math.round(this._startValue+this.getDecimalForPixel(t)*this._valueRange)}getBasePixel(){return this.bottom}},LinearScale:ns,LogarithmicScale:ls,RadialLinearScale:bs,TimeScale:Cs,TimeSeriesScale:class extends Cs{static id="timeseries";static defaults=Cs.defaults;constructor(t){super(t),this._table=[],this._minPos=void 0,this._tableRange=void 0}initOffsets(){const t=this._getTimestampsForTable(),e=this._table=this.buildLookupTable(t);this._minPos=Ss(e,this.min),this._tableRange=Ss(e,this.max)-this._minPos,super.initOffsets(t)}buildLookupTable(t){const{min:e,max:n}=this,i=[],o=[];let r,s,a,l,c;for(r=0,s=t.length;r=e&&l<=n&&i.push(l);if(i.length<2)return[{time:e,pos:0},{time:n,pos:1}];for(r=0,s=i.length;rt-e))}_getTimestampsForTable(){let t=this._cache.all||[];if(t.length)return t;const e=this.getDataTimestamps(),n=this.getLabelTimestamps();return 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h=(0,i.forwardRef)(u);function d(t,e){return o.kL.register(e),(0,i.forwardRef)(((e,n)=>i.createElement(h,Object.assign({},e,{ref:n,type:t}))))}const f=d("bar",o.vn)}}]); \ No newline at end of file diff --git a/assets/js/89.121c4acb.js b/assets/js/728.06ce00f4.js similarity index 90% rename from assets/js/89.121c4acb.js rename to assets/js/728.06ce00f4.js index 263a189bd..fd7d1613d 100644 --- a/assets/js/89.121c4acb.js +++ b/assets/js/728.06ce00f4.js @@ -1,15 +1,15 @@ "use strict"; -exports.id = 89; -exports.ids = [89]; +exports.id = 728; +exports.ids = [728]; exports.modules = { -/***/ 43349: +/***/ 53128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ a: () => (/* binding */ addHtmlLabel) +/* harmony export */ m: () => (/* binding */ addHtmlLabel) /* harmony export */ }); -/* harmony import */ var _util_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(96225); +/* harmony import */ var _util_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(14620); @@ -35,7 +35,7 @@ function addHtmlLabel(root, node) { div.html(label); } - _util_js__WEBPACK_IMPORTED_MODULE_0__/* .applyStyle */ .bg(div, node.labelStyle); + _util_js__WEBPACK_IMPORTED_MODULE_0__/* .applyStyle */ .Ce(div, node.labelStyle); div.style('display', 'inline-block'); // Fix for firefox div.style('white-space', 'nowrap'); @@ -49,18 +49,18 @@ function addHtmlLabel(root, node) { /***/ }), -/***/ 96225: +/***/ 14620: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ $p: () => (/* binding */ applyClass), -/* harmony export */ O1: () => (/* binding */ edgeToId), -/* harmony export */ WR: () => (/* binding */ applyTransition), -/* harmony export */ bF: () => (/* binding */ isSubgraph), -/* harmony export */ bg: () => (/* binding */ applyStyle) +/* harmony export */ Ce: () => (/* binding */ applyStyle), +/* harmony export */ S_: () => (/* binding */ applyClass), +/* harmony export */ cv: () => (/* binding */ isSubgraph), +/* harmony export */ q2: () => (/* binding */ applyTransition), +/* harmony export */ q_: () => (/* binding */ edgeToId) /* harmony export */ }); -/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37514); -/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(73234); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(86012); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(59680); // Public utility functions @@ -98,9 +98,9 @@ function applyClass(dom, classFn, otherClasses) { function applyTransition(selection, g) { var graph = g.graph(); - if (lodash_es__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z(graph)) { + if (lodash_es__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c(graph)) { var transition = graph.transition; - if (lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z(transition)) { + if (lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(transition)) { return transition(selection); } } @@ -111,33 +111,33 @@ function applyTransition(selection, g) { /***/ }), -/***/ 41644: +/***/ 32304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - bK: () => (/* reexport */ layout) + cn: () => (/* reexport */ layout) }); // UNUSED EXPORTS: acyclic, normalize, rank // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/uniqueId.js -var uniqueId = __webpack_require__(66749); +var uniqueId = __webpack_require__(41696); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); +var map = __webpack_require__(92696); // EXTERNAL MODULE: ./node_modules/lodash-es/range.js + 2 modules -var range = __webpack_require__(74379); +var range = __webpack_require__(52264); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); +var graphlib = __webpack_require__(95536); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/data/list.js /* * Simple doubly linked list implementation derived from Cormen, et al., @@ -209,7 +209,7 @@ function filterOutLinks(k, v) { */ -var DEFAULT_WEIGHT_FN = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FN = constant/* default */.c(1); function greedyFAS(g, weightFn) { if (g.nodeCount() <= 1) { @@ -219,8 +219,8 @@ function greedyFAS(g, weightFn) { var results = doGreedyFAS(state.graph, state.buckets, state.zeroIdx); // Expand multi-edges - return flatten/* default */.Z( - map/* default */.Z(results, function (e) { + return flatten/* default */.c( + map/* default */.c(results, function (e) { return g.outEdges(e.v, e.w); }) ); @@ -256,7 +256,7 @@ function doGreedyFAS(g, buckets, zeroIdx) { function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { var results = collectPredecessors ? [] : undefined; - forEach/* default */.Z(g.inEdges(entry.v), function (edge) { + forEach/* default */.c(g.inEdges(entry.v), function (edge) { var weight = g.edge(edge); var uEntry = g.node(edge.v); @@ -268,7 +268,7 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { assignBucket(buckets, zeroIdx, uEntry); }); - forEach/* default */.Z(g.outEdges(entry.v), function (edge) { + forEach/* default */.c(g.outEdges(entry.v), function (edge) { var weight = g.edge(edge); var w = edge.w; var wEntry = g.node(w); @@ -282,17 +282,17 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { } function buildState(g, weightFn) { - var fasGraph = new graphlib/* Graph */.k(); + var fasGraph = new graphlib/* Graph */.M(); var maxIn = 0; var maxOut = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { fasGraph.setNode(v, { v: v, in: 0, out: 0 }); }); // Aggregate weights on nodes, but also sum the weights across multi-edges // into a single edge for the fasGraph. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var prevWeight = fasGraph.edge(e.v, e.w) || 0; var weight = weightFn(e); var edgeWeight = prevWeight + weight; @@ -301,12 +301,12 @@ function buildState(g, weightFn) { maxIn = Math.max(maxIn, (fasGraph.node(e.w)['in'] += weight)); }); - var buckets = range/* default */.Z(maxOut + maxIn + 3).map(function () { + var buckets = range/* default */.c(maxOut + maxIn + 3).map(function () { return new List(); }); var zeroIdx = maxIn + 1; - forEach/* default */.Z(fasGraph.nodes(), function (v) { + forEach/* default */.c(fasGraph.nodes(), function (v) { assignBucket(buckets, zeroIdx, fasGraph.node(v)); }); @@ -331,12 +331,12 @@ function assignBucket(buckets, zeroIdx, entry) { function run(g) { var fas = g.graph().acyclicer === 'greedy' ? greedyFAS(g, weightFn(g)) : dfsFAS(g); - forEach/* default */.Z(fas, function (e) { + forEach/* default */.c(fas, function (e) { var label = g.edge(e); g.removeEdge(e); label.forwardName = e.name; label.reversed = true; - g.setEdge(e.w, e.v, label, uniqueId/* default */.Z('rev')); + g.setEdge(e.w, e.v, label, uniqueId/* default */.c('rev')); }); function weightFn(g) { @@ -352,13 +352,13 @@ function dfsFAS(g) { var visited = {}; function dfs(v) { - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return; } visited[v] = true; stack[v] = true; - forEach/* default */.Z(g.outEdges(v), function (e) { - if (has/* default */.Z(stack, e.w)) { + forEach/* default */.c(g.outEdges(v), function (e) { + if (has/* default */.c(stack, e.w)) { fas.push(e); } else { dfs(e.w); @@ -367,12 +367,12 @@ function dfsFAS(g) { delete stack[v]; } - forEach/* default */.Z(g.nodes(), dfs); + forEach/* default */.c(g.nodes(), dfs); return fas; } function undo(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var label = g.edge(e); if (label.reversed) { g.removeEdge(e); @@ -386,13 +386,13 @@ function undo(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/merge.js + 6 modules -var merge = __webpack_require__(59236); +var merge = __webpack_require__(89064); // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseExtremum.js @@ -415,7 +415,7 @@ function baseExtremum(array, iteratee, comparator) { current = iteratee(value); if (current != null && (computed === undefined - ? (current === current && !(0,isSymbol/* default */.Z)(current)) + ? (current === current && !(0,isSymbol/* default */.c)(current)) : comparator(current, computed) )) { var computed = current, @@ -444,7 +444,7 @@ function baseGt(value, other) { /* harmony default export */ const _baseGt = (baseGt); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/max.js @@ -470,7 +470,7 @@ var identity = __webpack_require__(69203); */ function max(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseGt) + ? _baseExtremum(array, identity/* default */.c, _baseGt) : undefined; } @@ -499,11 +499,11 @@ function last(array) { /* harmony default export */ const lodash_es_last = (last); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseAssignValue.js -var _baseAssignValue = __webpack_require__(74752); +var _baseAssignValue = __webpack_require__(78848); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/mapValues.js @@ -539,10 +539,10 @@ var _baseIteratee = __webpack_require__(74765); */ function mapValues(object, iteratee) { var result = {}; - iteratee = (0,_baseIteratee/* default */.Z)(iteratee, 3); + iteratee = (0,_baseIteratee/* default */.c)(iteratee, 3); - (0,_baseForOwn/* default */.Z)(object, function(value, key, object) { - (0,_baseAssignValue/* default */.Z)(result, key, iteratee(value, key, object)); + (0,_baseForOwn/* default */.c)(object, function(value, key, object) { + (0,_baseAssignValue/* default */.c)(result, key, iteratee(value, key, object)); }); return result; } @@ -550,7 +550,7 @@ function mapValues(object, iteratee) { /* harmony default export */ const lodash_es_mapValues = (mapValues); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseLt.js /** * The base implementation of `_.lt` which doesn't coerce arguments. @@ -592,14 +592,14 @@ function baseLt(value, other) { */ function min(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseLt) + ? _baseExtremum(array, identity/* default */.c, _baseLt) : undefined; } /* harmony default export */ const lodash_es_min = (min); // EXTERNAL MODULE: ./node_modules/lodash-es/_root.js -var _root = __webpack_require__(66092); +var _root = __webpack_require__(43936); ;// CONCATENATED MODULE: ./node_modules/lodash-es/now.js @@ -620,7 +620,7 @@ var _root = __webpack_require__(66092); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { - return _root/* default */.Z.Date.now(); + return _root/* default */.c.Date.now(); }; /* harmony default export */ const lodash_es_now = (now); @@ -637,7 +637,7 @@ var now = function() { function addDummyNode(g, type, attrs, name) { var v; do { - v = uniqueId/* default */.Z(name); + v = uniqueId/* default */.c(name); } while (g.hasNode(v)); attrs.dummy = type; @@ -650,11 +650,11 @@ function addDummyNode(g, type, attrs, name) { * associated with multi-edges. */ function simplify(g) { - var simplified = new graphlib/* Graph */.k().setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M().setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { simplified.setNode(v, g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var simpleLabel = simplified.edge(e.v, e.w) || { weight: 0, minlen: 1 }; var label = g.edge(e); simplified.setEdge(e.v, e.w, { @@ -666,13 +666,13 @@ function simplify(g) { } function asNonCompoundGraph(g) { - var simplified = new graphlib/* Graph */.k({ multigraph: g.isMultigraph() }).setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M({ multigraph: g.isMultigraph() }).setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { if (!g.children(v).length) { simplified.setNode(v, g.node(v)); } }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { simplified.setEdge(e, g.edge(e)); }); return simplified; @@ -744,13 +744,13 @@ function intersectRect(rect, point) { * function will produce a matrix with the ids of each node. */ function buildLayerMatrix(g) { - var layering = map/* default */.Z(range/* default */.Z(util_maxRank(g) + 1), function () { + var layering = map/* default */.c(range/* default */.c(util_maxRank(g) + 1), function () { return []; }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); var rank = node.rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { layering[rank][node.order] = v; } }); @@ -763,13 +763,13 @@ function buildLayerMatrix(g) { */ function normalizeRanks(g) { var min = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); - if (has/* default */.Z(node, 'rank')) { + if (has/* default */.c(node, 'rank')) { node.rank -= min; } }); @@ -778,13 +778,13 @@ function normalizeRanks(g) { function removeEmptyRanks(g) { // Ranks may not start at 0, so we need to offset them var offset = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); var layers = []; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank - offset; if (!layers[rank]) { layers[rank] = []; @@ -794,11 +794,11 @@ function removeEmptyRanks(g) { var delta = 0; var nodeRankFactor = g.graph().nodeRankFactor; - forEach/* default */.Z(layers, function (vs, i) { - if (isUndefined/* default */.Z(vs) && i % nodeRankFactor !== 0) { + forEach/* default */.c(layers, function (vs, i) { + if (isUndefined/* default */.c(vs) && i % nodeRankFactor !== 0) { --delta; } else if (delta) { - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { g.node(v).rank += delta; }); } @@ -819,9 +819,9 @@ function addBorderNode(g, prefix, rank, order) { function util_maxRank(g) { return lodash_es_max( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { return rank; } }) @@ -835,7 +835,7 @@ function util_maxRank(g) { */ function partition(collection, fn) { var result = { lhs: [], rhs: [] }; - forEach/* default */.Z(collection, function (value) { + forEach/* default */.c(collection, function (value) { if (fn(value)) { result.lhs.push(value); } else { @@ -873,10 +873,10 @@ function addBorderSegments(g) { var children = g.children(v); var node = g.node(v); if (children.length) { - forEach/* default */.Z(children, dfs); + forEach/* default */.c(children, dfs); } - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { node.borderLeft = []; node.borderRight = []; for (var rank = node.minRank, maxRank = node.maxRank + 1; rank < maxRank; ++rank) { @@ -886,7 +886,7 @@ function addBorderSegments(g) { } } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); } function add_border_segments_addBorderNode(g, prop, prefix, sg, sgNode, rank) { @@ -925,10 +925,10 @@ function coordinate_system_undo(g) { } function swapWidthHeight(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapWidthHeightOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { swapWidthHeightOne(g.edge(e)); }); } @@ -940,14 +940,14 @@ function swapWidthHeightOne(attrs) { } function reverseY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { reverseYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, reverseYOne); - if (has/* default */.Z(edge, 'y')) { + forEach/* default */.c(edge.points, reverseYOne); + if (has/* default */.c(edge, 'y')) { reverseYOne(edge); } }); @@ -958,14 +958,14 @@ function reverseYOne(attrs) { } function swapXY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapXYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, swapXYOne); - if (has/* default */.Z(edge, 'x')) { + forEach/* default */.c(edge.points, swapXYOne); + if (has/* default */.c(edge, 'x')) { swapXYOne(edge); } }); @@ -1001,7 +1001,7 @@ function swapXYOne(attrs) { */ function normalize_run(g) { g.graph().dummyChains = []; - forEach/* default */.Z(g.edges(), function (edge) { + forEach/* default */.c(g.edges(), function (edge) { normalizeEdge(g, edge); }); } @@ -1049,7 +1049,7 @@ function normalizeEdge(g, e) { } function normalize_undo(g) { - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var origLabel = node.edgeLabel; var w; @@ -1100,7 +1100,7 @@ function normalize_undo(g) { */ function minBy(array, iteratee) { return (array && array.length) - ? _baseExtremum(array, (0,_baseIteratee/* default */.Z)(iteratee, 2), _baseLt) + ? _baseExtremum(array, (0,_baseIteratee/* default */.c)(iteratee, 2), _baseLt) : undefined; } @@ -1137,13 +1137,13 @@ function longestPath(g) { function dfs(v) { var label = g.node(v); - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return label.rank; } visited[v] = true; var rank = lodash_es_min( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return dfs(e.w) - g.edge(e).minlen; }) ); @@ -1160,7 +1160,7 @@ function longestPath(g) { return (label.rank = rank); } - forEach/* default */.Z(g.sources(), dfs); + forEach/* default */.c(g.sources(), dfs); } /* @@ -1204,7 +1204,7 @@ function slack(g, e) { * edges. */ function feasibleTree(g) { - var t = new graphlib/* Graph */.k({ directed: false }); + var t = new graphlib/* Graph */.M({ directed: false }); // Choose arbitrary node from which to start our tree var start = g.nodes()[0]; @@ -1227,7 +1227,7 @@ function feasibleTree(g) { */ function tightTree(t, g) { function dfs(v) { - forEach/* default */.Z(g.nodeEdges(v), function (e) { + forEach/* default */.c(g.nodeEdges(v), function (e) { var edgeV = e.v, w = v === edgeV ? e.w : edgeV; if (!t.hasNode(w) && !slack(g, e)) { @@ -1238,7 +1238,7 @@ function tightTree(t, g) { }); } - forEach/* default */.Z(t.nodes(), dfs); + forEach/* default */.c(t.nodes(), dfs); return t.nodeCount(); } @@ -1255,15 +1255,15 @@ function findMinSlackEdge(t, g) { } function shiftRanks(t, g, delta) { - forEach/* default */.Z(t.nodes(), function (v) { + forEach/* default */.c(t.nodes(), function (v) { g.node(v).rank += delta; }); } // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createFind.js @@ -1279,9 +1279,9 @@ var keys = __webpack_require__(17179); function createFind(findIndexFunc) { return function(collection, predicate, fromIndex) { var iterable = Object(collection); - if (!(0,isArrayLike/* default */.Z)(collection)) { - var iteratee = (0,_baseIteratee/* default */.Z)(predicate, 3); - collection = (0,keys/* default */.Z)(collection); + if (!(0,isArrayLike/* default */.c)(collection)) { + var iteratee = (0,_baseIteratee/* default */.c)(predicate, 3); + collection = (0,keys/* default */.c)(collection); predicate = function(key) { return iteratee(iterable[key], key, iterable); }; } var index = findIndexFunc(collection, predicate, fromIndex); @@ -1292,9 +1292,9 @@ function createFind(findIndexFunc) { /* harmony default export */ const _createFind = (createFind); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toInteger.js @@ -1325,7 +1325,7 @@ var toFinite = __webpack_require__(94099); * // => 3 */ function toInteger(value) { - var result = (0,toFinite/* default */.Z)(value), + var result = (0,toFinite/* default */.c)(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; @@ -1385,7 +1385,7 @@ function findIndex(array, predicate, fromIndex) { if (index < 0) { index = nativeMax(length + index, 0); } - return (0,_baseFindIndex/* default */.Z)(array, (0,_baseIteratee/* default */.Z)(predicate, 3), index); + return (0,_baseFindIndex/* default */.c)(array, (0,_baseIteratee/* default */.c)(predicate, 3), index); } /* harmony default export */ const lodash_es_findIndex = (findIndex); @@ -1435,14 +1435,14 @@ var find = _createFind(lodash_es_findIndex); /* harmony default export */ const lodash_es_find = (find); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/dijkstra.js -var DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function dijkstra_dijkstra(g, source, weightFn, edgeFn) { return runDijkstra( @@ -1524,7 +1524,7 @@ function dijkstraAll(g, weightFunc, edgeFunc) { -var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function floydWarshall(g, weightFn, edgeFn) { return runFloydWarshall( @@ -1577,15 +1577,15 @@ function runFloydWarshall(g, weightFn, edgeFn) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseKeys.js + 1 modules -var _baseKeys = __webpack_require__(39473); +var _baseKeys = __webpack_require__(61376); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetTag.js + 2 modules -var _baseGetTag = __webpack_require__(93589); +var _baseGetTag = __webpack_require__(67724); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isString.js @@ -1613,13 +1613,13 @@ var stringTag = '[object String]'; */ function isString(value) { return typeof value == 'string' || - (!(0,isArray/* default */.Z)(value) && (0,isObjectLike/* default */.Z)(value) && (0,_baseGetTag/* default */.Z)(value) == stringTag); + (!(0,isArray/* default */.c)(value) && (0,isObjectLike/* default */.c)(value) && (0,_baseGetTag/* default */.c)(value) == stringTag); } /* harmony default export */ const lodash_es_isString = (isString); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_asciiSize.js @@ -1630,7 +1630,7 @@ var _baseProperty = __webpack_require__(54193); * @param {string} string The string inspect. * @returns {number} Returns the string size. */ -var asciiSize = (0,_baseProperty/* default */.Z)('length'); +var asciiSize = (0,_baseProperty/* default */.c)('length'); /* harmony default export */ const _asciiSize = (asciiSize); @@ -1764,14 +1764,14 @@ function size(collection) { if (collection == null) { return 0; } - if ((0,isArrayLike/* default */.Z)(collection)) { + if ((0,isArrayLike/* default */.c)(collection)) { return lodash_es_isString(collection) ? _stringSize(collection) : collection.length; } - var tag = (0,_getTag/* default */.Z)(collection); + var tag = (0,_getTag/* default */.c)(collection); if (tag == mapTag || tag == setTag) { return collection.size; } - return (0,_baseKeys/* default */.Z)(collection).length; + return (0,_baseKeys/* default */.c)(collection).length; } /* harmony default export */ const lodash_es_size = (size); @@ -1789,20 +1789,20 @@ function topsort_topsort(g) { var results = []; function visit(node) { - if (has/* default */.Z(stack, node)) { + if (has/* default */.c(stack, node)) { throw new topsort_CycleException(); } - if (!has/* default */.Z(visited, node)) { + if (!has/* default */.c(visited, node)) { stack[node] = true; visited[node] = true; - forEach/* default */.Z(g.predecessors(node), visit); + forEach/* default */.c(g.predecessors(node), visit); delete stack[node]; results.push(node); } } - forEach/* default */.Z(g.sinks(), visit); + forEach/* default */.c(g.sinks(), visit); if (lodash_es_size(visited) !== g.nodeCount()) { throw new topsort_CycleException(); @@ -1845,7 +1845,7 @@ function isAcyclic(g) { * Order must be one of "pre" or "post". */ function dfs(g, vs, order) { - if (!isArray/* default */.Z(vs)) { + if (!isArray/* default */.c(vs)) { vs = [vs]; } @@ -1853,7 +1853,7 @@ function dfs(g, vs, order) { var acc = []; var visited = {}; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (!g.hasNode(v)) { throw new Error('Graph does not have node: ' + v); } @@ -1864,13 +1864,13 @@ function dfs(g, vs, order) { } function doDfs(g, v, postorder, visited, navigation, acc) { - if (!has/* default */.Z(visited, v)) { + if (!has/* default */.c(visited, v)) { visited[v] = true; if (!postorder) { acc.push(v); } - forEach/* default */.Z(navigation(v), function (w) { + forEach/* default */.c(navigation(v), function (w) { doDfs(g, w, postorder, visited, navigation, acc); }); if (postorder) { @@ -1898,7 +1898,7 @@ function preorder(g, vs) { } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); +var graph = __webpack_require__(58048); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/prim.js @@ -2038,7 +2038,7 @@ function networkSimplex(g) { function initCutValues(t, g) { var vs = postorder(t, t.nodes()); vs = vs.slice(0, vs.length - 1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { assignCutValue(t, g, v); }); } @@ -2070,7 +2070,7 @@ function calcCutValue(t, g, child) { cutValue = graphEdge.weight; - forEach/* default */.Z(g.nodeEdges(child), function (e) { + forEach/* default */.c(g.nodeEdges(child), function (e) { var isOutEdge = e.v === child, other = isOutEdge ? e.w : e.v; @@ -2101,8 +2101,8 @@ function dfsAssignLowLim(tree, visited, nextLim, v, parent) { var label = tree.node(v); visited[v] = true; - forEach/* default */.Z(tree.neighbors(v), function (w) { - if (!has/* default */.Z(visited, w)) { + forEach/* default */.c(tree.neighbors(v), function (w) { + if (!has/* default */.c(visited, w)) { nextLim = dfsAssignLowLim(tree, visited, nextLim, w, v); } }); @@ -2149,7 +2149,7 @@ function enterEdge(t, g, edge) { flip = true; } - var candidates = filter/* default */.Z(g.edges(), function (edge) { + var candidates = filter/* default */.c(g.edges(), function (edge) { return ( flip === isDescendant(t, t.node(edge.v), tailLabel) && flip !== isDescendant(t, t.node(edge.w), tailLabel) @@ -2177,7 +2177,7 @@ function updateRanks(t, g) { }); var vs = preorder(t, root); vs = vs.slice(1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var parent = t.node(v).parent, edge = g.edge(v, parent), flipped = false; @@ -2261,9 +2261,9 @@ function networkSimplexRanker(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/nesting-graph.js @@ -2296,13 +2296,13 @@ var reduce = __webpack_require__(92344); function nesting_graph_run(g) { var root = addDummyNode(g, 'root', {}, '_root'); var depths = treeDepths(g); - var height = lodash_es_max(values/* default */.Z(depths)) - 1; // Note: depths is an Object not an array + var height = lodash_es_max(values/* default */.c(depths)) - 1; // Note: depths is an Object not an array var nodeSep = 2 * height + 1; g.graph().nestingRoot = root; // Multiply minlen by nodeSep to align nodes on non-border ranks. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { g.edge(e).minlen *= nodeSep; }); @@ -2310,7 +2310,7 @@ function nesting_graph_run(g) { var weight = sumWeights(g) + 1; // Create border nodes and link them up - forEach/* default */.Z(g.children(), function (child) { + forEach/* default */.c(g.children(), function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); }); @@ -2337,7 +2337,7 @@ function nesting_graph_dfs(g, root, nodeSep, weight, height, depths, v) { g.setParent(bottom, v); label.borderBottom = bottom; - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); var childNode = g.node(child); @@ -2369,20 +2369,20 @@ function treeDepths(g) { function dfs(v, depth) { var children = g.children(v); if (children && children.length) { - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { dfs(child, depth + 1); }); } depths[v] = depth; } - forEach/* default */.Z(g.children(), function (v) { + forEach/* default */.c(g.children(), function (v) { dfs(v, 1); }); return depths; } function sumWeights(g) { - return reduce/* default */.Z( + return reduce/* default */.c( g.edges(), function (acc, e) { return acc + g.edge(e).weight; @@ -2395,7 +2395,7 @@ function cleanup(g) { var graphLabel = g.graph(); g.removeNode(graphLabel.nestingRoot); delete graphLabel.nestingRoot; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.nestingEdge) { g.removeEdge(e); @@ -2404,7 +2404,7 @@ function cleanup(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); +var _baseClone = __webpack_require__(48492); ;// CONCATENATED MODULE: ./node_modules/lodash-es/cloneDeep.js @@ -2431,7 +2431,7 @@ var CLONE_DEEP_FLAG = 1, * // => false */ function cloneDeep(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); + return (0,_baseClone/* default */.c)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); } /* harmony default export */ const lodash_es_cloneDeep = (cloneDeep); @@ -2445,7 +2445,7 @@ function addSubgraphConstraints(g, cg, vs) { var prev = {}, rootPrev; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var child = g.parent(v), parent, prevChild; @@ -2529,13 +2529,13 @@ function addSubgraphConstraints(g, cg, vs) { */ function buildLayerGraph(g, rank, relationship) { var root = createRootNode(g), - result = new graphlib/* Graph */.k({ compound: true }) + result = new graphlib/* Graph */.M({ compound: true }) .setGraph({ root: root }) .setDefaultNodeLabel(function (v) { return g.node(v); }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v), parent = g.parent(v); @@ -2544,14 +2544,14 @@ function buildLayerGraph(g, rank, relationship) { result.setParent(v, parent || root); // This assumes we have only short edges! - forEach/* default */.Z(g[relationship](v), function (e) { + forEach/* default */.c(g[relationship](v), function (e) { var u = e.v === v ? e.w : e.v, edge = result.edge(u, v), - weight = !isUndefined/* default */.Z(edge) ? edge.weight : 0; + weight = !isUndefined/* default */.c(edge) ? edge.weight : 0; result.setEdge(u, v, { weight: g.edge(e).weight + weight }); }); - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { result.setNode(v, { borderLeft: node.borderLeft[rank], borderRight: node.borderRight[rank], @@ -2565,12 +2565,12 @@ function buildLayerGraph(g, rank, relationship) { function createRootNode(g) { var v; - while (g.hasNode((v = uniqueId/* default */.Z('_root')))); + while (g.hasNode((v = uniqueId/* default */.c('_root')))); return v; } // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseZipObject.js /** * This base implementation of `_.zipObject` which assigns values using `assignFunc`. @@ -2617,19 +2617,19 @@ function baseZipObject(props, values, assignFunc) { * // => { 'a': 1, 'b': 2 } */ function zipObject(props, values) { - return _baseZipObject(props || [], values || [], _assignValue/* default */.Z); + return _baseZipObject(props || [], values || [], _assignValue/* default */.c); } /* harmony default export */ const lodash_es_zipObject = (zipObject); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseMap.js -var _baseMap = __webpack_require__(21018); +var _baseMap = __webpack_require__(90360); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSortBy.js /** * The base implementation of `_.sortBy` which uses `comparer` to define the @@ -2654,7 +2654,7 @@ function baseSortBy(array, comparer) { /* harmony default export */ const _baseSortBy = (baseSortBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_compareAscending.js @@ -2671,12 +2671,12 @@ function compareAscending(value, other) { var valIsDefined = value !== undefined, valIsNull = value === null, valIsReflexive = value === value, - valIsSymbol = (0,isSymbol/* default */.Z)(value); + valIsSymbol = (0,isSymbol/* default */.c)(value); var othIsDefined = other !== undefined, othIsNull = other === null, othIsReflexive = other === other, - othIsSymbol = (0,isSymbol/* default */.Z)(other); + othIsSymbol = (0,isSymbol/* default */.c)(other); if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) || (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) || @@ -2766,23 +2766,23 @@ function compareMultiple(object, other, orders) { */ function baseOrderBy(collection, iteratees, orders) { if (iteratees.length) { - iteratees = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { - if ((0,isArray/* default */.Z)(iteratee)) { + iteratees = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { + if ((0,isArray/* default */.c)(iteratee)) { return function(value) { - return (0,_baseGet/* default */.Z)(value, iteratee.length === 1 ? iteratee[0] : iteratee); + return (0,_baseGet/* default */.c)(value, iteratee.length === 1 ? iteratee[0] : iteratee); } } return iteratee; }); } else { - iteratees = [identity/* default */.Z]; + iteratees = [identity/* default */.c]; } var index = -1; - iteratees = (0,_arrayMap/* default */.Z)(iteratees, (0,_baseUnary/* default */.Z)(_baseIteratee/* default */.Z)); + iteratees = (0,_arrayMap/* default */.c)(iteratees, (0,_baseUnary/* default */.c)(_baseIteratee/* default */.c)); - var result = (0,_baseMap/* default */.Z)(collection, function(value, key, collection) { - var criteria = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { + var result = (0,_baseMap/* default */.c)(collection, function(value, key, collection) { + var criteria = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { return iteratee(value); }); return { 'criteria': criteria, 'index': ++index, 'value': value }; @@ -2796,9 +2796,9 @@ function baseOrderBy(collection, iteratees, orders) { /* harmony default export */ const _baseOrderBy = (baseOrderBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/sortBy.js @@ -2834,17 +2834,17 @@ var _isIterateeCall = __webpack_require__(50439); * _.sortBy(users, ['user', 'age']); * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]] */ -var sortBy = (0,_baseRest/* default */.Z)(function(collection, iteratees) { +var sortBy = (0,_baseRest/* default */.c)(function(collection, iteratees) { if (collection == null) { return []; } var length = iteratees.length; - if (length > 1 && (0,_isIterateeCall/* default */.Z)(collection, iteratees[0], iteratees[1])) { + if (length > 1 && (0,_isIterateeCall/* default */.c)(collection, iteratees[0], iteratees[1])) { iteratees = []; - } else if (length > 2 && (0,_isIterateeCall/* default */.Z)(iteratees[0], iteratees[1], iteratees[2])) { + } else if (length > 2 && (0,_isIterateeCall/* default */.c)(iteratees[0], iteratees[1], iteratees[2])) { iteratees = [iteratees[0]]; } - return _baseOrderBy(collection, (0,_baseFlatten/* default */.Z)(iteratees, 1), []); + return _baseOrderBy(collection, (0,_baseFlatten/* default */.c)(iteratees, 1), []); }); /* harmony default export */ const lodash_es_sortBy = (sortBy); @@ -2884,14 +2884,14 @@ function twoLayerCrossCount(g, northLayer, southLayer) { // their head in the south layer. var southPos = lodash_es_zipObject( southLayer, - map/* default */.Z(southLayer, function (v, i) { + map/* default */.c(southLayer, function (v, i) { return i; }) ); - var southEntries = flatten/* default */.Z( - map/* default */.Z(northLayer, function (v) { + var southEntries = flatten/* default */.c( + map/* default */.c(northLayer, function (v) { return lodash_es_sortBy( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return { pos: southPos[e.w], weight: g.edge(e).weight }; }), 'pos' @@ -2904,13 +2904,13 @@ function twoLayerCrossCount(g, northLayer, southLayer) { while (firstIndex < southLayer.length) firstIndex <<= 1; var treeSize = 2 * firstIndex - 1; firstIndex -= 1; - var tree = map/* default */.Z(new Array(treeSize), function () { + var tree = map/* default */.c(new Array(treeSize), function () { return 0; }); // Calculate the weighted crossings var cc = 0; - forEach/* default */.Z( + forEach/* default */.c( // @ts-expect-error southEntries.forEach(function (entry) { var index = entry.pos + firstIndex; @@ -2951,30 +2951,30 @@ function twoLayerCrossCount(g, northLayer, southLayer) { */ function initOrder(g) { var visited = {}; - var simpleNodes = filter/* default */.Z(g.nodes(), function (v) { + var simpleNodes = filter/* default */.c(g.nodes(), function (v) { return !g.children(v).length; }); var maxRank = lodash_es_max( - map/* default */.Z(simpleNodes, function (v) { + map/* default */.c(simpleNodes, function (v) { return g.node(v).rank; }) ); - var layers = map/* default */.Z(range/* default */.Z(maxRank + 1), function () { + var layers = map/* default */.c(range/* default */.c(maxRank + 1), function () { return []; }); function dfs(v) { - if (has/* default */.Z(visited, v)) return; + if (has/* default */.c(visited, v)) return; visited[v] = true; var node = g.node(v); layers[node.rank].push(v); - forEach/* default */.Z(g.successors(v), dfs); + forEach/* default */.c(g.successors(v), dfs); } var orderedVs = lodash_es_sortBy(simpleNodes, function (v) { return g.node(v).rank; }); - forEach/* default */.Z(orderedVs, dfs); + forEach/* default */.c(orderedVs, dfs); return layers; } @@ -2985,12 +2985,12 @@ function initOrder(g) { function barycenter(g, movable) { - return map/* default */.Z(movable, function (v) { + return map/* default */.c(movable, function (v) { var inV = g.inEdges(v); if (!inV.length) { return { v: v }; } else { - var result = reduce/* default */.Z( + var result = reduce/* default */.c( inV, function (acc, e) { var edge = g.edge(e), @@ -3044,7 +3044,7 @@ function barycenter(g, movable) { */ function resolveConflicts(entries, cg) { var mappedEntries = {}; - forEach/* default */.Z(entries, function (entry, i) { + forEach/* default */.c(entries, function (entry, i) { var tmp = (mappedEntries[entry.v] = { indegree: 0, in: [], @@ -3052,7 +3052,7 @@ function resolveConflicts(entries, cg) { vs: [entry.v], i: i, }); - if (!isUndefined/* default */.Z(entry.barycenter)) { + if (!isUndefined/* default */.c(entry.barycenter)) { // @ts-expect-error tmp.barycenter = entry.barycenter; // @ts-expect-error @@ -3060,16 +3060,16 @@ function resolveConflicts(entries, cg) { } }); - forEach/* default */.Z(cg.edges(), function (e) { + forEach/* default */.c(cg.edges(), function (e) { var entryV = mappedEntries[e.v]; var entryW = mappedEntries[e.w]; - if (!isUndefined/* default */.Z(entryV) && !isUndefined/* default */.Z(entryW)) { + if (!isUndefined/* default */.c(entryV) && !isUndefined/* default */.c(entryW)) { entryW.indegree++; entryV.out.push(mappedEntries[e.w]); } }); - var sourceSet = filter/* default */.Z(mappedEntries, function (entry) { + var sourceSet = filter/* default */.c(mappedEntries, function (entry) { // @ts-expect-error return !entry.indegree; }); @@ -3086,8 +3086,8 @@ function doResolveConflicts(sourceSet) { return; } if ( - isUndefined/* default */.Z(uEntry.barycenter) || - isUndefined/* default */.Z(vEntry.barycenter) || + isUndefined/* default */.c(uEntry.barycenter) || + isUndefined/* default */.c(vEntry.barycenter) || uEntry.barycenter >= vEntry.barycenter ) { mergeEntries(vEntry, uEntry); @@ -3107,16 +3107,16 @@ function doResolveConflicts(sourceSet) { while (sourceSet.length) { var entry = sourceSet.pop(); entries.push(entry); - forEach/* default */.Z(entry['in'].reverse(), handleIn(entry)); - forEach/* default */.Z(entry.out, handleOut(entry)); + forEach/* default */.c(entry['in'].reverse(), handleIn(entry)); + forEach/* default */.c(entry.out, handleOut(entry)); } - return map/* default */.Z( - filter/* default */.Z(entries, function (entry) { + return map/* default */.c( + filter/* default */.c(entries, function (entry) { return !entry.merged; }), function (entry) { - return pick/* default */.Z(entry, ['vs', 'i', 'barycenter', 'weight']); + return pick/* default */.c(entry, ['vs', 'i', 'barycenter', 'weight']); } ); } @@ -3150,7 +3150,7 @@ function mergeEntries(target, source) { function sort(entries, biasRight) { var parts = partition(entries, function (entry) { - return has/* default */.Z(entry, 'barycenter'); + return has/* default */.c(entry, 'barycenter'); }); var sortable = parts.lhs, unsortable = lodash_es_sortBy(parts.rhs, function (entry) { @@ -3165,7 +3165,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); - forEach/* default */.Z(sortable, function (entry) { + forEach/* default */.c(sortable, function (entry) { vsIndex += entry.vs.length; vs.push(entry.vs); sum += entry.barycenter * entry.weight; @@ -3173,7 +3173,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); }); - var result = { vs: flatten/* default */.Z(vs) }; + var result = { vs: flatten/* default */.c(vs) }; if (weight) { result.barycenter = sum / weight; result.weight = weight; @@ -3219,17 +3219,17 @@ function sortSubgraph(g, v, cg, biasRight) { var subgraphs = {}; if (bl) { - movable = filter/* default */.Z(movable, function (w) { + movable = filter/* default */.c(movable, function (w) { return w !== bl && w !== br; }); } var barycenters = barycenter(g, movable); - forEach/* default */.Z(barycenters, function (entry) { + forEach/* default */.c(barycenters, function (entry) { if (g.children(entry.v).length) { var subgraphResult = sortSubgraph(g, entry.v, cg, biasRight); subgraphs[entry.v] = subgraphResult; - if (has/* default */.Z(subgraphResult, 'barycenter')) { + if (has/* default */.c(subgraphResult, 'barycenter')) { mergeBarycenters(entry, subgraphResult); } } @@ -3241,11 +3241,11 @@ function sortSubgraph(g, v, cg, biasRight) { var result = sort(entries, biasRight); if (bl) { - result.vs = flatten/* default */.Z([bl, result.vs, br]); + result.vs = flatten/* default */.c([bl, result.vs, br]); if (g.predecessors(bl).length) { var blPred = g.node(g.predecessors(bl)[0]), brPred = g.node(g.predecessors(br)[0]); - if (!has/* default */.Z(result, 'barycenter')) { + if (!has/* default */.c(result, 'barycenter')) { result.barycenter = 0; result.weight = 0; } @@ -3259,8 +3259,8 @@ function sortSubgraph(g, v, cg, biasRight) { } function expandSubgraphs(entries, subgraphs) { - forEach/* default */.Z(entries, function (entry) { - entry.vs = flatten/* default */.Z( + forEach/* default */.c(entries, function (entry) { + entry.vs = flatten/* default */.c( entry.vs.map(function (v) { if (subgraphs[v]) { return subgraphs[v].vs; @@ -3272,7 +3272,7 @@ function expandSubgraphs(entries, subgraphs) { } function mergeBarycenters(target, other) { - if (!isUndefined/* default */.Z(target.barycenter)) { + if (!isUndefined/* default */.c(target.barycenter)) { target.barycenter = (target.barycenter * target.weight + other.barycenter * other.weight) / (target.weight + other.weight); @@ -3312,8 +3312,8 @@ function mergeBarycenters(target, other) { */ function order(g) { var maxRank = util_maxRank(g), - downLayerGraphs = buildLayerGraphs(g, range/* default */.Z(1, maxRank + 1), 'inEdges'), - upLayerGraphs = buildLayerGraphs(g, range/* default */.Z(maxRank - 1, -1, -1), 'outEdges'); + downLayerGraphs = buildLayerGraphs(g, range/* default */.c(1, maxRank + 1), 'inEdges'), + upLayerGraphs = buildLayerGraphs(g, range/* default */.c(maxRank - 1, -1, -1), 'outEdges'); var layering = initOrder(g); assignOrder(g, layering); @@ -3337,17 +3337,17 @@ function order(g) { } function buildLayerGraphs(g, ranks, relationship) { - return map/* default */.Z(ranks, function (rank) { + return map/* default */.c(ranks, function (rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { - var cg = new graphlib/* Graph */.k(); - forEach/* default */.Z(layerGraphs, function (lg) { + var cg = new graphlib/* Graph */.M(); + forEach/* default */.c(layerGraphs, function (lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); - forEach/* default */.Z(sorted.vs, function (v, i) { + forEach/* default */.c(sorted.vs, function (v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); @@ -3355,8 +3355,8 @@ function sweepLayerGraphs(layerGraphs, biasRight) { } function assignOrder(g, layering) { - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, i) { g.node(v).order = i; }); }); @@ -3370,7 +3370,7 @@ function assignOrder(g, layering) { function parentDummyChains(g) { var postorderNums = parent_dummy_chains_postorder(g); - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var edgeObj = node.edgeObj; var pathData = findPath(g, postorderNums, edgeObj.v, edgeObj.w); @@ -3442,16 +3442,16 @@ function parent_dummy_chains_postorder(g) { function dfs(v) { var low = lim; - forEach/* default */.Z(g.children(v), dfs); + forEach/* default */.c(g.children(v), dfs); result[v] = { low: low, lim: lim++ }; } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); return result; } // EXTERNAL MODULE: ./node_modules/lodash-es/_castFunction.js -var _castFunction = __webpack_require__(68882); +var _castFunction = __webpack_require__(12176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forOwn.js @@ -3485,15 +3485,15 @@ var _castFunction = __webpack_require__(68882); * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forOwn(object, iteratee) { - return object && (0,_baseForOwn/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee)); + return object && (0,_baseForOwn/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee)); } /* harmony default export */ const lodash_es_forOwn = (forOwn); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFor.js + 1 modules -var _baseFor = __webpack_require__(61395); +var _baseFor = __webpack_require__(19004); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forIn.js @@ -3530,7 +3530,7 @@ var keysIn = __webpack_require__(32957); function forIn(object, iteratee) { return object == null ? object - : (0,_baseFor/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee), keysIn/* default */.Z); + : (0,_baseFor/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee), keysIn/* default */.c); } /* harmony default export */ const lodash_es_forIn = (forIn); @@ -3577,13 +3577,13 @@ function findType1Conflicts(g, layering) { prevLayerLength = prevLayer.length, lastNode = lodash_es_last(layer); - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var w = findOtherInnerSegmentNode(g, v), k1 = w ? g.node(w).order : prevLayerLength; if (w || v === lastNode) { - forEach/* default */.Z(layer.slice(scanPos, i + 1), function (scanNode) { - forEach/* default */.Z(g.predecessors(scanNode), function (u) { + forEach/* default */.c(layer.slice(scanPos, i + 1), function (scanNode) { + forEach/* default */.c(g.predecessors(scanNode), function (u) { var uLabel = g.node(u), uPos = uLabel.order; if ((uPos < k0 || k1 < uPos) && !(uLabel.dummy && g.node(scanNode).dummy)) { @@ -3600,7 +3600,7 @@ function findType1Conflicts(g, layering) { return layer; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3609,10 +3609,10 @@ function findType2Conflicts(g, layering) { function scan(south, southPos, southEnd, prevNorthBorder, nextNorthBorder) { var v; - forEach/* default */.Z(range/* default */.Z(southPos, southEnd), function (i) { + forEach/* default */.c(range/* default */.c(southPos, southEnd), function (i) { v = south[i]; if (g.node(v).dummy) { - forEach/* default */.Z(g.predecessors(v), function (u) { + forEach/* default */.c(g.predecessors(v), function (u) { var uNode = g.node(u); if (uNode.dummy && (uNode.order < prevNorthBorder || uNode.order > nextNorthBorder)) { addConflict(conflicts, u, v); @@ -3627,7 +3627,7 @@ function findType2Conflicts(g, layering) { nextNorthPos, southPos = 0; - forEach/* default */.Z(south, function (v, southLookahead) { + forEach/* default */.c(south, function (v, southLookahead) { if (g.node(v).dummy === 'border') { var predecessors = g.predecessors(v); if (predecessors.length) { @@ -3644,7 +3644,7 @@ function findType2Conflicts(g, layering) { return south; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3676,7 +3676,7 @@ function hasConflict(conflicts, v, w) { v = w; w = tmp; } - return has/* default */.Z(conflicts[v], w); + return has/* default */.c(conflicts[v], w); } /* @@ -3695,17 +3695,17 @@ function verticalAlignment(g, layering, conflicts, neighborFn) { // We cache the position here based on the layering because the graph and // layering may be out of sync. The layering matrix is manipulated to // generate different extreme alignments. - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, order) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, order) { root[v] = v; align[v] = v; pos[v] = order; }); }); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var prevIdx = -1; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var ws = neighborFn(v); if (ws.length) { ws = lodash_es_sortBy(ws, function (w) { @@ -3777,7 +3777,7 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { iterate(pass2, blockG.successors.bind(blockG)); // Assign x coordinates to all nodes - forEach/* default */.Z(align, function (v) { + forEach/* default */.c(align, function (v) { xs[v] = xs[root[v]]; }); @@ -3785,13 +3785,13 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { } function buildBlockGraph(g, layering, root, reverseSep) { - var blockGraph = new graphlib/* Graph */.k(), + var blockGraph = new graphlib/* Graph */.M(), graphLabel = g.graph(), sepFn = sep(graphLabel.nodesep, graphLabel.edgesep, reverseSep); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var u; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var vRoot = root[v]; blockGraph.setNode(vRoot); if (u) { @@ -3810,7 +3810,7 @@ function buildBlockGraph(g, layering, root, reverseSep) { * Returns the alignment that has the smallest width of the given alignments. */ function findSmallestWidthAlignment(g, xss) { - return lodash_es_minBy(values/* default */.Z(xss), function (xs) { + return lodash_es_minBy(values/* default */.c(xss), function (xs) { var max = Number.NEGATIVE_INFINITY; var min = Number.POSITIVE_INFINITY; @@ -3833,18 +3833,18 @@ function findSmallestWidthAlignment(g, xss) { * coordinate of the smallest width alignment. */ function alignCoordinates(xss, alignTo) { - var alignToVals = values/* default */.Z(alignTo), + var alignToVals = values/* default */.c(alignTo), alignToMin = lodash_es_min(alignToVals), alignToMax = lodash_es_max(alignToVals); - forEach/* default */.Z(['u', 'd'], function (vert) { - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + forEach/* default */.c(['l', 'r'], function (horiz) { var alignment = vert + horiz, xs = xss[alignment], delta; if (xs === alignTo) return; - var xsVals = values/* default */.Z(xs); + var xsVals = values/* default */.c(xs); delta = horiz === 'l' ? alignToMin - lodash_es_min(xsVals) : alignToMax - lodash_es_max(xsVals); if (delta) { @@ -3861,7 +3861,7 @@ function balance(xss, align) { if (align) { return xss[align.toLowerCase()][v]; } else { - var xs = lodash_es_sortBy(map/* default */.Z(xss, v)); + var xs = lodash_es_sortBy(map/* default */.c(xss, v)); return (xs[1] + xs[2]) / 2; } }); @@ -3869,16 +3869,16 @@ function balance(xss, align) { function positionX(g) { var layering = buildLayerMatrix(g); - var conflicts = merge/* default */.Z(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); + var conflicts = merge/* default */.c(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); var xss = {}; var adjustedLayering; - forEach/* default */.Z(['u', 'd'], function (vert) { - adjustedLayering = vert === 'u' ? layering : values/* default */.Z(layering).reverse(); - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + adjustedLayering = vert === 'u' ? layering : values/* default */.c(layering).reverse(); + forEach/* default */.c(['l', 'r'], function (horiz) { if (horiz === 'r') { - adjustedLayering = map/* default */.Z(adjustedLayering, function (inner) { - return values/* default */.Z(inner).reverse(); + adjustedLayering = map/* default */.c(adjustedLayering, function (inner) { + return values/* default */.c(inner).reverse(); }); } @@ -3907,7 +3907,7 @@ function sep(nodeSep, edgeSep, reverseSep) { var delta; sum += vLabel.width / 2; - if (has/* default */.Z(vLabel, 'labelpos')) { + if (has/* default */.c(vLabel, 'labelpos')) { switch (vLabel.labelpos.toLowerCase()) { case 'l': delta = -vLabel.width / 2; @@ -3926,7 +3926,7 @@ function sep(nodeSep, edgeSep, reverseSep) { sum += (wLabel.dummy ? edgeSep : nodeSep) / 2; sum += wLabel.width / 2; - if (has/* default */.Z(wLabel, 'labelpos')) { + if (has/* default */.c(wLabel, 'labelpos')) { switch (wLabel.labelpos.toLowerCase()) { case 'l': delta = wLabel.width / 2; @@ -3969,13 +3969,13 @@ function positionY(g) { var layering = buildLayerMatrix(g); var rankSep = g.graph().ranksep; var prevY = 0; - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var maxHeight = lodash_es_max( - map/* default */.Z(layer, function (v) { + map/* default */.c(layer, function (v) { return g.node(v).height; }) ); - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { g.node(v).y = prevY + maxHeight / 2; }); prevY += maxHeight + rankSep; @@ -4104,7 +4104,7 @@ function runLayout(g, time) { * attributes can influence layout. */ function updateInputGraph(inputGraph, layoutGraph) { - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var inputLabel = inputGraph.node(v); var layoutLabel = layoutGraph.node(v); @@ -4119,12 +4119,12 @@ function updateInputGraph(inputGraph, layoutGraph) { } }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var inputLabel = inputGraph.edge(e); var layoutLabel = layoutGraph.edge(e); inputLabel.points = layoutLabel.points; - if (has/* default */.Z(layoutLabel, 'x')) { + if (has/* default */.c(layoutLabel, 'x')) { inputLabel.x = layoutLabel.x; inputLabel.y = layoutLabel.y; } @@ -4157,24 +4157,24 @@ var edgeAttrs = ['labelpos']; * attributes can influence layout. */ function buildLayoutGraph(inputGraph) { - var g = new graphlib/* Graph */.k({ multigraph: true, compound: true }); + var g = new graphlib/* Graph */.M({ multigraph: true, compound: true }); var graph = canonicalize(inputGraph.graph()); g.setGraph( - merge/* default */.Z({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.Z(graph, graphAttrs)) + merge/* default */.c({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.c(graph, graphAttrs)) ); - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var node = canonicalize(inputGraph.node(v)); - g.setNode(v, defaults/* default */.Z(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); + g.setNode(v, defaults/* default */.c(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); g.setParent(v, inputGraph.parent(v)); }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var edge = canonicalize(inputGraph.edge(e)); g.setEdge( e, - merge/* default */.Z({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.Z(edge, edgeAttrs)) + merge/* default */.c({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.c(edge, edgeAttrs)) ); }); @@ -4192,7 +4192,7 @@ function buildLayoutGraph(inputGraph) { function makeSpaceForEdgeLabels(g) { var graph = g.graph(); graph.ranksep /= 2; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); edge.minlen *= 2; if (edge.labelpos.toLowerCase() !== 'c') { @@ -4212,7 +4212,7 @@ function makeSpaceForEdgeLabels(g) { * label's position. */ function injectEdgeLabelProxies(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.width && edge.height) { var v = g.node(e.v); @@ -4225,7 +4225,7 @@ function injectEdgeLabelProxies(g) { function assignRankMinMax(g) { var maxRank = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.borderTop) { node.minRank = g.node(node.borderTop).rank; @@ -4238,7 +4238,7 @@ function assignRankMinMax(g) { } function removeEdgeLabelProxies(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'edge-proxy') { g.edge(node.e).labelRank = node.rank; @@ -4267,12 +4267,12 @@ function translateGraph(g) { maxY = Math.max(maxY, y + h / 2); } - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { getExtremes(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { getExtremes(edge); } }); @@ -4280,22 +4280,22 @@ function translateGraph(g) { minX -= marginX; minY -= marginY; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); node.x -= minX; node.y -= minY; }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, function (p) { + forEach/* default */.c(edge.points, function (p) { p.x -= minX; p.y -= minY; }); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { edge.x -= minX; } - if (has/* default */.Z(edge, 'y')) { + if (has/* default */.c(edge, 'y')) { edge.y -= minY; } }); @@ -4305,7 +4305,7 @@ function translateGraph(g) { } function assignNodeIntersects(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); var nodeV = g.node(e.v); var nodeW = g.node(e.w); @@ -4324,9 +4324,9 @@ function assignNodeIntersects(g) { } function fixupEdgeLabelCoords(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { if (edge.labelpos === 'l' || edge.labelpos === 'r') { edge.width -= edge.labeloffset; } @@ -4343,7 +4343,7 @@ function fixupEdgeLabelCoords(g) { } function reversePointsForReversedEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.reversed) { edge.points.reverse(); @@ -4352,7 +4352,7 @@ function reversePointsForReversedEdges(g) { } function removeBorderNodes(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.children(v).length) { var node = g.node(v); var t = g.node(node.borderTop); @@ -4367,7 +4367,7 @@ function removeBorderNodes(g) { } }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.node(v).dummy === 'border') { g.removeNode(v); } @@ -4375,7 +4375,7 @@ function removeBorderNodes(g) { } function removeSelfEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { if (e.v === e.w) { var node = g.node(e.v); if (!node.selfEdges) { @@ -4389,12 +4389,12 @@ function removeSelfEdges(g) { function insertSelfEdges(g) { var layers = buildLayerMatrix(g); - forEach/* default */.Z(layers, function (layer) { + forEach/* default */.c(layers, function (layer) { var orderShift = 0; - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var node = g.node(v); node.order = i + orderShift; - forEach/* default */.Z(node.selfEdges, function (selfEdge) { + forEach/* default */.c(node.selfEdges, function (selfEdge) { addDummyNode( g, 'selfedge', @@ -4415,7 +4415,7 @@ function insertSelfEdges(g) { } function positionSelfEdges(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'selfedge') { var selfNode = g.node(node.e.v); @@ -4439,12 +4439,12 @@ function positionSelfEdges(g) { } function selectNumberAttrs(obj, attrs) { - return lodash_es_mapValues(pick/* default */.Z(obj, attrs), Number); + return lodash_es_mapValues(pick/* default */.c(obj, attrs), Number); } function canonicalize(attrs) { var newAttrs = {}; - forEach/* default */.Z(attrs, function (v, k) { + forEach/* default */.c(attrs, function (v, k) { newAttrs[k.toLowerCase()] = v; }); return newAttrs; @@ -4461,39 +4461,39 @@ function canonicalize(attrs) { /***/ }), -/***/ 52544: +/***/ 58048: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - k: () => (/* binding */ Graph) + M: () => (/* binding */ Graph) }); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/isFunction.js -var isFunction = __webpack_require__(73234); +var isFunction = __webpack_require__(59680); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); // EXTERNAL MODULE: ./node_modules/lodash-es/isEmpty.js -var isEmpty = __webpack_require__(79697); +var isEmpty = __webpack_require__(28796); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsNaN.js /** * The base implementation of `_.isNaN` without support for number objects. @@ -4550,7 +4550,7 @@ function strictIndexOf(array, value, fromIndex) { function baseIndexOf(array, value, fromIndex) { return value === value ? _strictIndexOf(array, value, fromIndex) - : (0,_baseFindIndex/* default */.Z)(array, _baseIsNaN, fromIndex); + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); } /* harmony default export */ const _baseIndexOf = (baseIndexOf); @@ -4599,9 +4599,9 @@ function arrayIncludesWith(array, value, comparator) { /* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); // EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js -var _Set = __webpack_require__(93203); +var _Set = __webpack_require__(61268); ;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js /** * This method returns `undefined`. @@ -4622,7 +4622,7 @@ function noop() { /* harmony default export */ const lodash_es_noop = (noop); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js @@ -4638,8 +4638,8 @@ var INFINITY = 1 / 0; * @param {Array} values The values to add to the set. * @returns {Object} Returns the new set. */ -var createSet = !(_Set/* default */.Z && (1 / (0,_setToArray/* default */.Z)(new _Set/* default */.Z([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { - return new _Set/* default */.Z(values); +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); }; /* harmony default export */ const _createSet = (createSet); @@ -4679,11 +4679,11 @@ function baseUniq(array, iteratee, comparator) { else if (length >= LARGE_ARRAY_SIZE) { var set = iteratee ? null : _createSet(array); if (set) { - return (0,_setToArray/* default */.Z)(set); + return (0,_setToArray/* default */.c)(set); } isCommon = false; - includes = _cacheHas/* default */.Z; - seen = new _SetCache/* default */.Z; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; } else { seen = iteratee ? [] : result; @@ -4719,7 +4719,7 @@ function baseUniq(array, iteratee, comparator) { /* harmony default export */ const _baseUniq = (baseUniq); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js -var isArrayLikeObject = __webpack_require__(836); +var isArrayLikeObject = __webpack_require__(19724); ;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js @@ -4742,16 +4742,16 @@ var isArrayLikeObject = __webpack_require__(836); * _.union([2], [1, 2]); * // => [2, 1] */ -var union = (0,_baseRest/* default */.Z)(function(arrays) { - return _baseUniq((0,_baseFlatten/* default */.Z)(arrays, 1, isArrayLikeObject/* default */.Z, true)); +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); }); /* harmony default export */ const lodash_es_union = (union); // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js @@ -4780,18 +4780,18 @@ var EDGE_KEY_DELIM = '\x01'; // we're going to get to a performant hashtable in JavaScript. class Graph { constructor(opts = {}) { - this._isDirected = has/* default */.Z(opts, 'directed') ? opts.directed : true; - this._isMultigraph = has/* default */.Z(opts, 'multigraph') ? opts.multigraph : false; - this._isCompound = has/* default */.Z(opts, 'compound') ? opts.compound : false; + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; // Label for the graph itself this._label = undefined; // Defaults to be set when creating a new node - this._defaultNodeLabelFn = constant/* default */.Z(undefined); + this._defaultNodeLabelFn = constant/* default */.c(undefined); // Defaults to be set when creating a new edge - this._defaultEdgeLabelFn = constant/* default */.Z(undefined); + this._defaultEdgeLabelFn = constant/* default */.c(undefined); // v -> label this._nodes = {}; @@ -4842,8 +4842,8 @@ class Graph { } /* === Node functions ========== */ setDefaultNodeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultNodeLabelFn = newDefault; return this; @@ -4852,24 +4852,24 @@ class Graph { return this._nodeCount; } nodes() { - return keys/* default */.Z(this._nodes); + return keys/* default */.c(this._nodes); } sources() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._in[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); }); } sinks() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._out[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); }); } setNodes(vs, value) { var args = arguments; var self = this; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (args.length > 1) { self.setNode(v, value); } else { @@ -4879,7 +4879,7 @@ class Graph { return this; } setNode(v, value) { - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { if (arguments.length > 1) { this._nodes[v] = value; } @@ -4904,11 +4904,11 @@ class Graph { return this._nodes[v]; } hasNode(v) { - return has/* default */.Z(this._nodes, v); + return has/* default */.c(this._nodes, v); } removeNode(v) { var self = this; - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { var removeEdge = function (e) { self.removeEdge(self._edgeObjs[e]); }; @@ -4916,15 +4916,15 @@ class Graph { if (this._isCompound) { this._removeFromParentsChildList(v); delete this._parent[v]; - forEach/* default */.Z(this.children(v), function (child) { + forEach/* default */.c(this.children(v), function (child) { self.setParent(child); }); delete this._children[v]; } - forEach/* default */.Z(keys/* default */.Z(this._in[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); delete this._in[v]; delete this._preds[v]; - forEach/* default */.Z(keys/* default */.Z(this._out[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); delete this._out[v]; delete this._sucs[v]; --this._nodeCount; @@ -4936,12 +4936,12 @@ class Graph { throw new Error('Cannot set parent in a non-compound graph'); } - if (isUndefined/* default */.Z(parent)) { + if (isUndefined/* default */.c(parent)) { parent = GRAPH_NODE; } else { // Coerce parent to string parent += ''; - for (var ancestor = parent; !isUndefined/* default */.Z(ancestor); ancestor = this.parent(ancestor)) { + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { if (ancestor === v) { throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); } @@ -4968,14 +4968,14 @@ class Graph { } } children(v) { - if (isUndefined/* default */.Z(v)) { + if (isUndefined/* default */.c(v)) { v = GRAPH_NODE; } if (this._isCompound) { var children = this._children[v]; if (children) { - return keys/* default */.Z(children); + return keys/* default */.c(children); } } else if (v === GRAPH_NODE) { return this.nodes(); @@ -4986,13 +4986,13 @@ class Graph { predecessors(v) { var predsV = this._preds[v]; if (predsV) { - return keys/* default */.Z(predsV); + return keys/* default */.c(predsV); } } successors(v) { var sucsV = this._sucs[v]; if (sucsV) { - return keys/* default */.Z(sucsV); + return keys/* default */.c(sucsV); } } neighbors(v) { @@ -5021,13 +5021,13 @@ class Graph { copy.setGraph(this.graph()); var self = this; - forEach/* default */.Z(this._nodes, function (value, v) { + forEach/* default */.c(this._nodes, function (value, v) { if (filter(v)) { copy.setNode(v, value); } }); - forEach/* default */.Z(this._edgeObjs, function (e) { + forEach/* default */.c(this._edgeObjs, function (e) { // @ts-expect-error if (copy.hasNode(e.v) && copy.hasNode(e.w)) { copy.setEdge(e, self.edge(e)); @@ -5048,7 +5048,7 @@ class Graph { } if (this._isCompound) { - forEach/* default */.Z(copy.nodes(), function (v) { + forEach/* default */.c(copy.nodes(), function (v) { copy.setParent(v, findParent(v)); }); } @@ -5057,8 +5057,8 @@ class Graph { } /* === Edge functions ========== */ setDefaultEdgeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultEdgeLabelFn = newDefault; return this; @@ -5067,12 +5067,12 @@ class Graph { return this._edgeCount; } edges() { - return values/* default */.Z(this._edgeObjs); + return values/* default */.c(this._edgeObjs); } setPath(vs, value) { var self = this; var args = arguments; - reduce/* default */.Z(vs, function (v, w) { + reduce/* default */.c(vs, function (v, w) { if (args.length > 1) { self.setEdge(v, w, value); } else { @@ -5111,19 +5111,19 @@ class Graph { v = '' + v; w = '' + w; - if (!isUndefined/* default */.Z(name)) { + if (!isUndefined/* default */.c(name)) { name = '' + name; } var e = edgeArgsToId(this._isDirected, v, w, name); - if (has/* default */.Z(this._edgeLabels, e)) { + if (has/* default */.c(this._edgeLabels, e)) { if (valueSpecified) { this._edgeLabels[e] = value; } return this; } - if (!isUndefined/* default */.Z(name) && !this._isMultigraph) { + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { throw new Error('Cannot set a named edge when isMultigraph = false'); } @@ -5161,7 +5161,7 @@ class Graph { arguments.length === 1 ? edgeObjToId(this._isDirected, arguments[0]) : edgeArgsToId(this._isDirected, v, w, name); - return has/* default */.Z(this._edgeLabels, e); + return has/* default */.c(this._edgeLabels, e); } removeEdge(v, w, name) { var e = @@ -5185,11 +5185,11 @@ class Graph { inEdges(v, u) { var inV = this._in[v]; if (inV) { - var edges = values/* default */.Z(inV); + var edges = values/* default */.c(inV); if (!u) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.v === u; }); } @@ -5197,11 +5197,11 @@ class Graph { outEdges(v, w) { var outV = this._out[v]; if (outV) { - var edges = values/* default */.Z(outV); + var edges = values/* default */.c(outV); if (!w) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.w === w; }); } @@ -5242,7 +5242,7 @@ function edgeArgsToId(isDirected, v_, w_, name) { v = w; w = tmp; } - return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.Z(name) ? DEFAULT_EDGE_NAME : name); + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); } function edgeArgsToObj(isDirected, v_, w_, name) { @@ -5267,14 +5267,14 @@ function edgeObjToId(isDirected, edgeObj) { /***/ }), -/***/ 45625: +/***/ 95536: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ k: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.k) +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) /* harmony export */ }); /* unused harmony export version */ -/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(52544); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); // Includes only the "core" of graphlib @@ -5286,64 +5286,17 @@ const version = '2.1.9-pre'; /***/ }), -/***/ 39354: +/***/ 41520: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { - -// EXPORTS -__webpack_require__.d(__webpack_exports__, { - c: () => (/* binding */ write) -}); - -// UNUSED EXPORTS: read - -// EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); -// EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); -;// CONCATENATED MODULE: ./node_modules/lodash-es/clone.js - - -/** Used to compose bitmasks for cloning. */ -var CLONE_SYMBOLS_FLAG = 4; - -/** - * Creates a shallow clone of `value`. - * - * **Note:** This method is loosely based on the - * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) - * and supports cloning arrays, array buffers, booleans, date objects, maps, - * numbers, `Object` objects, regexes, sets, strings, symbols, and typed - * arrays. The own enumerable properties of `arguments` objects are cloned - * as plain objects. An empty object is returned for uncloneable values such - * as error objects, functions, DOM nodes, and WeakMaps. - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Lang - * @param {*} value The value to clone. - * @returns {*} Returns the cloned value. - * @see _.cloneDeep - * @example - * - * var objects = [{ 'a': 1 }, { 'b': 2 }]; - * - * var shallow = _.clone(objects); - * console.log(shallow[0] === objects[0]); - * // => true - */ -function clone(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_SYMBOLS_FLAG); -} - -/* harmony default export */ const lodash_es_clone = (clone); - -// EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); -;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/json.js +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ G: () => (/* binding */ write) +/* harmony export */ }); +/* unused harmony export read */ +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(60372); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(77784); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(92696); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); @@ -5359,21 +5312,21 @@ function write(g) { nodes: writeNodes(g), edges: writeEdges(g), }; - if (!isUndefined/* default */.Z(g.graph())) { - json.value = lodash_es_clone(g.graph()); + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(g.graph())) { + json.value = lodash_es__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c(g.graph()); } return json; } function writeNodes(g) { - return map/* default */.Z(g.nodes(), function (v) { + return lodash_es__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c(g.nodes(), function (v) { var nodeValue = g.node(v); var parent = g.parent(v); var node = { v: v }; - if (!isUndefined/* default */.Z(nodeValue)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(nodeValue)) { node.value = nodeValue; } - if (!isUndefined/* default */.Z(parent)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(parent)) { node.parent = parent; } return node; @@ -5381,13 +5334,13 @@ function writeNodes(g) { } function writeEdges(g) { - return map/* default */.Z(g.edges(), function (e) { + return lodash_es__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c(g.edges(), function (e) { var edgeValue = g.edge(e); var edge = { v: e.v, w: e.w }; - if (!isUndefined/* default */.Z(e.name)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(e.name)) { edge.name = e.name; } - if (!isUndefined/* default */.Z(edgeValue)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(edgeValue)) { edge.value = edgeValue; } return edge; @@ -5411,17 +5364,38 @@ function read(json) { /***/ }), -/***/ 63001: +/***/ 21048: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _utils_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(89612); +/* harmony import */ var _color_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72120); +/* IMPORT */ + + +/* MAIN */ +const channel = (color, channel) => { + return _utils_index_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c.lang.round(_color_index_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c.parse(color)[channel]); +}; +/* EXPORT */ +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (channel); + + +/***/ }), + +/***/ 34528: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _SetCache) + c: () => (/* binding */ _SetCache) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules -var _MapCache = __webpack_require__(37834); +var _MapCache = __webpack_require__(86320); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; @@ -5476,7 +5450,7 @@ function SetCache(values) { var index = -1, length = values == null ? 0 : values.length; - this.__data__ = new _MapCache/* default */.Z; + this.__data__ = new _MapCache/* default */.c; while (++index < length) { this.add(values[index]); } @@ -5491,11 +5465,11 @@ SetCache.prototype.has = _setCacheHas; /***/ }), -/***/ 76579: +/***/ 56812: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.forEach` for arrays without support for @@ -5523,11 +5497,11 @@ function arrayEach(array, iteratee) { /***/ }), -/***/ 68774: +/***/ 46091: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.filter` for arrays without support for @@ -5558,11 +5532,11 @@ function arrayFilter(array, predicate) { /***/ }), -/***/ 74073: +/***/ 1304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.map` for arrays without support for iteratee @@ -5589,11 +5563,11 @@ function arrayMap(array, iteratee) { /***/ }), -/***/ 58694: +/***/ 25072: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Appends the elements of `values` to `array`. @@ -5619,25 +5593,25 @@ function arrayPush(array, values) { /***/ }), -/***/ 48451: +/***/ 48492: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseClone) + c: () => (/* binding */ _baseClone) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js -var _arrayEach = __webpack_require__(76579); +var _arrayEach = __webpack_require__(56812); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js -var _copyObject = __webpack_require__(31899); +var _copyObject = __webpack_require__(58904); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js @@ -5652,13 +5626,13 @@ var keys = __webpack_require__(17179); * @returns {Object} Returns `object`. */ function baseAssign(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keys/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); } /* harmony default export */ const _baseAssign = (baseAssign); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js @@ -5673,17 +5647,17 @@ var keysIn = __webpack_require__(32957); * @returns {Object} Returns `object`. */ function baseAssignIn(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keysIn/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); } /* harmony default export */ const _baseAssignIn = (baseAssignIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js -var _cloneBuffer = __webpack_require__(91050); +var _cloneBuffer = __webpack_require__(86656); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js -var _copyArray = __webpack_require__(87215); +var _copyArray = __webpack_require__(32488); // EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js -var _getSymbols = __webpack_require__(95695); +var _getSymbols = __webpack_require__(10772); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js @@ -5697,17 +5671,17 @@ var _getSymbols = __webpack_require__(95695); * @returns {Object} Returns `object`. */ function copySymbols(source, object) { - return (0,_copyObject/* default */.Z)(source, (0,_getSymbols/* default */.Z)(source), object); + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); } /* harmony default export */ const _copySymbols = (copySymbols); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js -var _getPrototype = __webpack_require__(12513); +var _getPrototype = __webpack_require__(75388); // EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js -var stubArray = __webpack_require__(60532); +var stubArray = __webpack_require__(41716); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js @@ -5724,11 +5698,11 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(object) { +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { var result = []; while (object) { - (0,_arrayPush/* default */.Z)(result, (0,_getSymbols/* default */.Z)(object)); - object = (0,_getPrototype/* default */.Z)(object); + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); } return result; }; @@ -5748,15 +5722,15 @@ var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(objec * @returns {Object} Returns `object`. */ function copySymbolsIn(source, object) { - return (0,_copyObject/* default */.Z)(source, _getSymbolsIn(source), object); + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); } /* harmony default export */ const _copySymbolsIn = (copySymbolsIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js -var _baseGetAllKeys = __webpack_require__(63327); +var _baseGetAllKeys = __webpack_require__(30176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js @@ -5771,13 +5745,13 @@ var _baseGetAllKeys = __webpack_require__(63327); * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { - return (0,_baseGetAllKeys/* default */.Z)(object, keysIn/* default */.Z, _getSymbolsIn); + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); } /* harmony default export */ const _getAllKeysIn = (getAllKeysIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js /** Used for built-in method references. */ var objectProto = Object.prototype; @@ -5807,7 +5781,7 @@ function initCloneArray(array) { /* harmony default export */ const _initCloneArray = (initCloneArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js -var _cloneArrayBuffer = __webpack_require__(41884); +var _cloneArrayBuffer = __webpack_require__(40976); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js @@ -5820,7 +5794,7 @@ var _cloneArrayBuffer = __webpack_require__(41884); * @returns {Object} Returns the cloned data view. */ function cloneDataView(dataView, isDeep) { - var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.Z)(dataView.buffer) : dataView.buffer; + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); } @@ -5846,12 +5820,12 @@ function cloneRegExp(regexp) { /* harmony default export */ const _cloneRegExp = (cloneRegExp); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -5868,7 +5842,7 @@ function cloneSymbol(symbol) { /* harmony default export */ const _cloneSymbol = (cloneSymbol); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js -var _cloneTypedArray = __webpack_require__(12701); +var _cloneTypedArray = __webpack_require__(70552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js @@ -5914,7 +5888,7 @@ function initCloneByTag(object, tag, isDeep) { var Ctor = object.constructor; switch (tag) { case arrayBufferTag: - return (0,_cloneArrayBuffer/* default */.Z)(object); + return (0,_cloneArrayBuffer/* default */.c)(object); case boolTag: case dateTag: @@ -5926,7 +5900,7 @@ function initCloneByTag(object, tag, isDeep) { case float32Tag: case float64Tag: case int8Tag: case int16Tag: case int32Tag: case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: - return (0,_cloneTypedArray/* default */.Z)(object, isDeep); + return (0,_cloneTypedArray/* default */.c)(object, isDeep); case mapTag: return new Ctor; @@ -5949,13 +5923,13 @@ function initCloneByTag(object, tag, isDeep) { /* harmony default export */ const _initCloneByTag = (initCloneByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules -var _initCloneObject = __webpack_require__(73658); +var _initCloneObject = __webpack_require__(1684); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js @@ -5971,22 +5945,22 @@ var _baseIsMap_mapTag = '[object Map]'; * @returns {boolean} Returns `true` if `value` is a map, else `false`. */ function baseIsMap(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsMap_mapTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; } /* harmony default export */ const _baseIsMap = (baseIsMap); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); // EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js -var _nodeUtil = __webpack_require__(98351); +var _nodeUtil = __webpack_require__(17576); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js /* Node.js helper references. */ -var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; /** * Checks if `value` is classified as a `Map` object. @@ -6005,12 +5979,12 @@ var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; * _.isMap(new WeakMap); * // => false */ -var isMap = nodeIsMap ? (0,_baseUnary/* default */.Z)(nodeIsMap) : _baseIsMap; +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; /* harmony default export */ const lodash_es_isMap = (isMap); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js @@ -6026,7 +6000,7 @@ var _baseIsSet_setTag = '[object Set]'; * @returns {boolean} Returns `true` if `value` is a set, else `false`. */ function baseIsSet(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsSet_setTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; } /* harmony default export */ const _baseIsSet = (baseIsSet); @@ -6037,7 +6011,7 @@ function baseIsSet(value) { /* Node.js helper references. */ -var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; /** * Checks if `value` is classified as a `Set` object. @@ -6056,7 +6030,7 @@ var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; * _.isSet(new WeakSet); * // => false */ -var isSet = nodeIsSet ? (0,_baseUnary/* default */.Z)(nodeIsSet) : _baseIsSet; +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; /* harmony default export */ const lodash_es_isSet = (isSet); @@ -6162,24 +6136,24 @@ function baseClone(value, bitmask, customizer, key, object, stack) { if (result !== undefined) { return result; } - if (!(0,isObject/* default */.Z)(value)) { + if (!(0,isObject/* default */.c)(value)) { return value; } - var isArr = (0,isArray/* default */.Z)(value); + var isArr = (0,isArray/* default */.c)(value); if (isArr) { result = _initCloneArray(value); if (!isDeep) { - return (0,_copyArray/* default */.Z)(value, result); + return (0,_copyArray/* default */.c)(value, result); } } else { - var tag = (0,_getTag/* default */.Z)(value), + var tag = (0,_getTag/* default */.c)(value), isFunc = tag == funcTag || tag == genTag; - if ((0,isBuffer/* default */.Z)(value)) { - return (0,_cloneBuffer/* default */.Z)(value, isDeep); + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); } if (tag == objectTag || tag == argsTag || (isFunc && !object)) { - result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.Z)(value); + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); if (!isDeep) { return isFlat ? _copySymbolsIn(value, _baseAssignIn(result, value)) @@ -6193,7 +6167,7 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } } // Check for circular references and return its corresponding clone. - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); var stacked = stack.get(value); if (stacked) { return stacked; @@ -6211,17 +6185,17 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } var keysFunc = isFull - ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.Z) - : (isFlat ? keysIn/* default */.Z : keys/* default */.Z); + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); var props = isArr ? undefined : keysFunc(value); - (0,_arrayEach/* default */.Z)(props || value, function(subValue, key) { + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { if (props) { key = subValue; subValue = value[key]; } // Recursively populate clone (susceptible to call stack limits). - (0,_assignValue/* default */.Z)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); }); return result; } @@ -6231,19 +6205,19 @@ function baseClone(value, bitmask, customizer, key, object, stack) { /***/ }), -/***/ 49811: +/***/ 92816: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseEach) + c: () => (/* binding */ _baseEach) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js @@ -6260,7 +6234,7 @@ function createBaseEach(eachFunc, fromRight) { if (collection == null) { return collection; } - if (!(0,isArrayLike/* default */.Z)(collection)) { + if (!(0,isArrayLike/* default */.c)(collection)) { return eachFunc(collection, iteratee); } var length = collection.length, @@ -6290,18 +6264,18 @@ function createBaseEach(eachFunc, fromRight) { * @param {Function} iteratee The function invoked per iteration. * @returns {Array|Object} Returns `collection`. */ -var baseEach = _createBaseEach(_baseForOwn/* default */.Z); +var baseEach = _createBaseEach(_baseForOwn/* default */.c); /* harmony default export */ const _baseEach = (baseEach); /***/ }), -/***/ 21692: +/***/ 16428: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.findIndex` and `_.findLastIndex` without @@ -6331,30 +6305,30 @@ function baseFindIndex(array, predicate, fromIndex, fromRight) { /***/ }), -/***/ 10626: +/***/ 40571: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseFlatten) + c: () => (/* binding */ _baseFlatten) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules -var isArguments = __webpack_require__(29169); +var isArguments = __webpack_require__(59636); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js /** Built-in value references. */ -var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatSpreadable : undefined; +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; /** * Checks if `value` is a flattenable `arguments` object or array. @@ -6364,7 +6338,7 @@ var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatS * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { - return (0,isArray/* default */.Z)(value) || (0,isArguments/* default */.Z)(value) || + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } @@ -6399,7 +6373,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { - (0,_arrayPush/* default */.Z)(result, value); + (0,_arrayPush/* default */.c)(result, value); } } else if (!isStrict) { result[result.length] = value; @@ -6413,14 +6387,14 @@ function baseFlatten(array, depth, predicate, isStrict, result) { /***/ }), -/***/ 2693: +/***/ 79985: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(61395); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -6433,7 +6407,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { * @returns {Object} Returns `object`. */ function baseForOwn(object, iteratee) { - return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z); + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); @@ -6441,14 +6415,14 @@ function baseForOwn(object, iteratee) { /***/ }), -/***/ 13317: +/***/ 60604: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -6461,13 +6435,13 @@ function baseForOwn(object, iteratee) { * @returns {*} Returns the resolved value. */ function baseGet(object, path) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = 0, length = path.length; while (object != null && index < length) { - object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index++])]; + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; } return (index && index == length) ? object : undefined; } @@ -6477,14 +6451,14 @@ function baseGet(object, path) { /***/ }), -/***/ 63327: +/***/ 30176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(58694); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -6501,7 +6475,7 @@ function baseGet(object, path) { */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); - return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(result, symbolsFunc(object)); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); @@ -6509,19 +6483,19 @@ function baseGetAllKeys(object, keysFunc, symbolsFunc) { /***/ }), -/***/ 74765: +/***/ 91312: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseIteratee) + c: () => (/* binding */ _baseIteratee) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js /** * A specialized version of `_.some` for arrays without support for iteratee @@ -6548,7 +6522,7 @@ function arraySome(array, predicate) { /* harmony default export */ const _arraySome = (arraySome); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js @@ -6587,7 +6561,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { } var index = -1, result = true, - seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.Z : undefined; + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; stack.set(array, other); stack.set(other, array); @@ -6612,7 +6586,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { // Recursively compare arrays (susceptible to call stack limits). if (seen) { if (!_arraySome(other, function(othValue, othIndex) { - if (!(0,_cacheHas/* default */.Z)(seen, othIndex) && + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { return seen.push(othIndex); } @@ -6636,11 +6610,11 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalArrays = (equalArrays); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js -var _Uint8Array = __webpack_require__(84073); +var _Uint8Array = __webpack_require__(91392); // EXTERNAL MODULE: ./node_modules/lodash-es/eq.js -var eq = __webpack_require__(79651); +var eq = __webpack_require__(73048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js /** * Converts `map` to its key-value pairs. @@ -6662,7 +6636,7 @@ function mapToArray(map) { /* harmony default export */ const _mapToArray = (mapToArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js @@ -6690,7 +6664,7 @@ var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]'; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -6722,7 +6696,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case arrayBufferTag: if ((object.byteLength != other.byteLength) || - !equalFunc(new _Uint8Array/* default */.Z(object), new _Uint8Array/* default */.Z(other))) { + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { return false; } return true; @@ -6732,7 +6706,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case numberTag: // Coerce booleans to `1` or `0` and dates to milliseconds. // Invalid dates are coerced to `NaN`. - return (0,eq/* default */.Z)(+object, +other); + return (0,eq/* default */.c)(+object, +other); case errorTag: return object.name == other.name && object.message == other.message; @@ -6749,7 +6723,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case setTag: var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; - convert || (convert = _setToArray/* default */.Z); + convert || (convert = _setToArray/* default */.c); if (object.size != other.size && !isPartial) { return false; @@ -6778,7 +6752,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalByTag = (equalByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js @@ -6806,9 +6780,9 @@ var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; */ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, - objProps = (0,_getAllKeys/* default */.Z)(object), + objProps = (0,_getAllKeys/* default */.c)(object), objLength = objProps.length, - othProps = (0,_getAllKeys/* default */.Z)(other), + othProps = (0,_getAllKeys/* default */.c)(other), othLength = othProps.length; if (objLength != othLength && !isPartial) { @@ -6872,13 +6846,13 @@ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalObjects = (equalObjects); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules -var isTypedArray = __webpack_require__(18843); +var isTypedArray = __webpack_require__(93416); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js @@ -6918,10 +6892,10 @@ var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnPropert * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. */ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { - var objIsArr = (0,isArray/* default */.Z)(object), - othIsArr = (0,isArray/* default */.Z)(other), - objTag = objIsArr ? arrayTag : (0,_getTag/* default */.Z)(object), - othTag = othIsArr ? arrayTag : (0,_getTag/* default */.Z)(other); + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); objTag = objTag == argsTag ? objectTag : objTag; othTag = othTag == argsTag ? objectTag : othTag; @@ -6930,16 +6904,16 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { othIsObj = othTag == objectTag, isSameTag = objTag == othTag; - if (isSameTag && (0,isBuffer/* default */.Z)(object)) { - if (!(0,isBuffer/* default */.Z)(other)) { + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { return false; } objIsArr = true; objIsObj = false; } if (isSameTag && !objIsObj) { - stack || (stack = new _Stack/* default */.Z); - return (objIsArr || (0,isTypedArray/* default */.Z)(object)) + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); } @@ -6951,21 +6925,21 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other; - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); } } if (!isSameTag) { return false; } - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); } /* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js @@ -6988,7 +6962,7 @@ function baseIsEqual(value, other, bitmask, customizer, stack) { if (value === other) { return true; } - if (value == null || other == null || (!(0,isObjectLike/* default */.Z)(value) && !(0,isObjectLike/* default */.Z)(other))) { + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { return value !== value && other !== other; } return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); @@ -7043,7 +7017,7 @@ function baseIsMatch(object, source, matchData, customizer) { return false; } } else { - var stack = new _Stack/* default */.Z; + var stack = new _Stack/* default */.c; if (customizer) { var result = customizer(objValue, srcValue, key, object, source, stack); } @@ -7061,7 +7035,7 @@ function baseIsMatch(object, source, matchData, customizer) { /* harmony default export */ const _baseIsMatch = (baseIsMatch); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js @@ -7074,13 +7048,13 @@ var isObject = __webpack_require__(77226); * equality comparisons, else `false`. */ function isStrictComparable(value) { - return value === value && !(0,isObject/* default */.Z)(value); + return value === value && !(0,isObject/* default */.c)(value); } /* harmony default export */ const _isStrictComparable = (isStrictComparable); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js @@ -7093,7 +7067,7 @@ var keys = __webpack_require__(17179); * @returns {Array} Returns the match data of `object`. */ function getMatchData(object) { - var result = (0,keys/* default */.Z)(object), + var result = (0,keys/* default */.c)(object), length = result.length; while (length--) { @@ -7154,7 +7128,7 @@ function baseMatches(source) { /* harmony default export */ const _baseMatches = (baseMatches); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); ;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js @@ -7184,18 +7158,18 @@ var _baseGet = __webpack_require__(13317); * // => 'default' */ function get(object, path, defaultValue) { - var result = object == null ? undefined : (0,_baseGet/* default */.Z)(object, path); + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); return result === undefined ? defaultValue : result; } /* harmony default export */ const lodash_es_get = (get); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js @@ -7218,13 +7192,13 @@ var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, * @returns {Function} Returns the new spec function. */ function baseMatchesProperty(path, srcValue) { - if ((0,_isKey/* default */.Z)(path) && _isStrictComparable(srcValue)) { - return _matchesStrictComparable((0,_toKey/* default */.Z)(path), srcValue); + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); } return function(object) { var objValue = lodash_es_get(object, path); return (objValue === undefined && objValue === srcValue) - ? (0,hasIn/* default */.Z)(object, path) + ? (0,hasIn/* default */.c)(object, path) : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); }; } @@ -7232,9 +7206,9 @@ function baseMatchesProperty(path, srcValue) { /* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js @@ -7247,7 +7221,7 @@ var _baseProperty = __webpack_require__(54193); */ function basePropertyDeep(path) { return function(object) { - return (0,_baseGet/* default */.Z)(object, path); + return (0,_baseGet/* default */.c)(object, path); }; } @@ -7282,7 +7256,7 @@ function basePropertyDeep(path) { * // => [1, 2] */ function property(path) { - return (0,_isKey/* default */.Z)(path) ? (0,_baseProperty/* default */.Z)((0,_toKey/* default */.Z)(path)) : _basePropertyDeep(path); + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); } /* harmony default export */ const lodash_es_property = (property); @@ -7308,10 +7282,10 @@ function baseIteratee(value) { return value; } if (value == null) { - return identity/* default */.Z; + return identity/* default */.c; } if (typeof value == 'object') { - return (0,isArray/* default */.Z)(value) + return (0,isArray/* default */.c)(value) ? _baseMatchesProperty(value[0], value[1]) : _baseMatches(value); } @@ -7323,14 +7297,14 @@ function baseIteratee(value) { /***/ }), -/***/ 21018: +/***/ 90360: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(49811); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(92816); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -7344,9 +7318,9 @@ function baseIteratee(value) { */ function baseMap(collection, iteratee) { var index = -1, - result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? Array(collection.length) : []; + result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? Array(collection.length) : []; - (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(collection, function(value, key, collection) { + (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(collection, function(value, key, collection) { result[++index] = iteratee(value, key, collection); }); return result; @@ -7357,11 +7331,11 @@ function baseMap(collection, iteratee) { /***/ }), -/***/ 54193: +/***/ 60472: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.property` without support for deep paths. @@ -7381,11 +7355,11 @@ function baseProperty(key) { /***/ }), -/***/ 59548: +/***/ 5960: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if a `cache` value for `key` exists. @@ -7404,13 +7378,13 @@ function cacheHas(cache, key) { /***/ }), -/***/ 68882: +/***/ 12176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69203); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); /** @@ -7421,7 +7395,7 @@ function cacheHas(cache, key) { * @returns {Function} Returns cast function. */ function castFunction(value) { - return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z; + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); @@ -7429,21 +7403,21 @@ function castFunction(value) { /***/ }), -/***/ 22823: +/***/ 58356: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _castPath) + c: () => (/* binding */ _castPath) }); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js -var memoize = __webpack_require__(42454); +var memoize = __webpack_require__(30528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js @@ -7459,7 +7433,7 @@ var MAX_MEMOIZE_SIZE = 500; * @returns {Function} Returns the new memoized function. */ function memoizeCapped(func) { - var result = (0,memoize/* default */.Z)(func, function(key) { + var result = (0,memoize/* default */.c)(func, function(key) { if (cache.size === MAX_MEMOIZE_SIZE) { cache.clear(); } @@ -7502,7 +7476,7 @@ var stringToPath = _memoizeCapped(function(string) { /* harmony default export */ const _stringToPath = (stringToPath); // EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules -var lodash_es_toString = __webpack_require__(50751); +var lodash_es_toString = __webpack_require__(68019); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js @@ -7518,10 +7492,10 @@ var lodash_es_toString = __webpack_require__(50751); * @returns {Array} Returns the cast property path array. */ function castPath(value, object) { - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { return value; } - return (0,_isKey/* default */.Z)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.Z)(value)); + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); } /* harmony default export */ const _castPath = (castPath); @@ -7529,15 +7503,15 @@ function castPath(value, object) { /***/ }), -/***/ 1808: +/***/ 22980: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(63327); -/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95695); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -7550,7 +7524,7 @@ function castPath(value, object) { * @returns {Array} Returns the array of property names and symbols. */ function getAllKeys(object) { - return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z); + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); @@ -7558,14 +7532,14 @@ function getAllKeys(object) { /***/ }), -/***/ 95695: +/***/ 10772: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(68774); -/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(60532); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); @@ -7585,12 +7559,12 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z : function(object) { +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { if (object == null) { return []; } object = Object(object); - return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(nativeGetSymbols(object), function(symbol) { + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { return propertyIsEnumerable.call(object, symbol); }); }; @@ -7600,18 +7574,18 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ /***/ }), -/***/ 16174: +/***/ 18872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(29169); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27771); -/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(56009); -/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(1656); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -7629,14 +7603,14 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ * @returns {boolean} Returns `true` if `path` exists, else `false`. */ function hasPath(object, path, hasFunc) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = -1, length = path.length, result = false; while (++index < length) { - var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index]); + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); if (!(result = object != null && hasFunc(object, key))) { break; } @@ -7646,8 +7620,8 @@ function hasPath(object, path, hasFunc) { return result; } length = object == null ? 0 : object.length; - return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(key, length) && - ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .Z)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .Z)(object)); + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); @@ -7655,14 +7629,14 @@ function hasPath(object, path, hasFunc) { /***/ }), -/***/ 99365: +/***/ 27544: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72714); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); @@ -7679,12 +7653,12 @@ var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, * @returns {boolean} Returns `true` if `value` is a property name, else `false`. */ function isKey(value, object) { - if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return false; } var type = typeof value; if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value)) { + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { return true; } return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || @@ -7696,11 +7670,11 @@ function isKey(value, object) { /***/ }), -/***/ 6545: +/***/ 68872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Converts `set` to an array of its values. @@ -7724,13 +7698,13 @@ function setToArray(set) { /***/ }), -/***/ 62281: +/***/ 32128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(72714); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); /** Used as references for various `Number` constants. */ @@ -7744,7 +7718,7 @@ var INFINITY = 1 / 0; * @returns {string|symbol} Returns the key. */ function toKey(value) { - if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return value; } var result = (value + ''); @@ -7756,16 +7730,63 @@ function toKey(value) { /***/ }), -/***/ 3688: +/***/ 77784: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _baseClone_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(48492); + + +/** Used to compose bitmasks for cloning. */ +var CLONE_SYMBOLS_FLAG = 4; + +/** + * Creates a shallow clone of `value`. + * + * **Note:** This method is loosely based on the + * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) + * and supports cloning arrays, array buffers, booleans, date objects, maps, + * numbers, `Object` objects, regexes, sets, strings, symbols, and typed + * arrays. The own enumerable properties of `arguments` objects are cloned + * as plain objects. An empty object is returned for uncloneable values such + * as error objects, functions, DOM nodes, and WeakMaps. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Lang + * @param {*} value The value to clone. + * @returns {*} Returns the cloned value. + * @see _.cloneDeep + * @example + * + * var objects = [{ 'a': 1 }, { 'b': 2 }]; + * + * var shallow = _.clone(objects); + * console.log(shallow[0] === objects[0]); + * // => true + */ +function clone(value) { + return (0,_baseClone_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value, CLONE_SYMBOLS_FLAG); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (clone); + + +/***/ }), + +/***/ 12804: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69581); -/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(79651); -/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(50439); -/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32957); +/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(34880); +/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(73048); +/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(15552); +/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(97000); @@ -7798,20 +7819,20 @@ var hasOwnProperty = objectProto.hasOwnProperty; * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 }); * // => { 'a': 1, 'b': 2 } */ -var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(function(object, sources) { +var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(function(object, sources) { object = Object(object); var index = -1; var length = sources.length; var guard = length > 2 ? sources[2] : undefined; - if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(sources[0], sources[1], guard)) { + if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(sources[0], sources[1], guard)) { length = 1; } while (++index < length) { var source = sources[index]; - var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(source); + var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(source); var propsIndex = -1; var propsLength = props.length; @@ -7820,7 +7841,7 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) var value = object[key]; if (value === undefined || - ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { + ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { object[key] = source[key]; } } @@ -7834,19 +7855,19 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) /***/ }), -/***/ 13445: +/***/ 55720: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_filter) + c: () => (/* binding */ lodash_es_filter) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js -var _arrayFilter = __webpack_require__(68774); +var _arrayFilter = __webpack_require__(46091); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js @@ -7860,7 +7881,7 @@ var _baseEach = __webpack_require__(49811); */ function baseFilter(collection, predicate) { var result = []; - (0,_baseEach/* default */.Z)(collection, function(value, index, collection) { + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { if (predicate(value, index, collection)) { result.push(value); } @@ -7871,9 +7892,9 @@ function baseFilter(collection, predicate) { /* harmony default export */ const _baseFilter = (baseFilter); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js @@ -7922,8 +7943,8 @@ var isArray = __webpack_require__(27771); * // => objects for ['fred', 'barney'] */ function filter(collection, predicate) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayFilter/* default */.Z : _baseFilter; - return func(collection, (0,_baseIteratee/* default */.Z)(predicate, 3)); + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); } /* harmony default export */ const lodash_es_filter = (filter); @@ -7931,13 +7952,13 @@ function filter(collection, predicate) { /***/ }), -/***/ 27961: +/***/ 9552: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(10626); +/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(40571); /** @@ -7956,7 +7977,7 @@ function filter(collection, predicate) { */ function flatten(array) { var length = array == null ? 0 : array.length; - return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(array, 1) : []; + return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(array, 1) : []; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (flatten); @@ -7964,16 +7985,16 @@ function flatten(array) { /***/ }), -/***/ 70870: +/***/ 50080: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(76579); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(49811); -/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(68882); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8010,8 +8031,8 @@ function flatten(array) { * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forEach(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); @@ -8019,13 +8040,13 @@ function forEach(collection, iteratee) { /***/ }), -/***/ 17452: +/***/ 7248: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_has) + c: () => (/* binding */ lodash_es_has) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js @@ -8050,7 +8071,7 @@ function baseHas(object, key) { /* harmony default export */ const _baseHas = (baseHas); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js @@ -8083,7 +8104,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function has(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHas); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); } /* harmony default export */ const lodash_es_has = (has); @@ -8091,13 +8112,13 @@ function has(object, path) { /***/ }), -/***/ 75487: +/***/ 73556: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_hasIn) + c: () => (/* binding */ lodash_es_hasIn) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js @@ -8116,7 +8137,7 @@ function baseHasIn(object, key) { /* harmony default export */ const _baseHasIn = (baseHasIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js @@ -8148,7 +8169,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function hasIn(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHasIn); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); } /* harmony default export */ const lodash_es_hasIn = (hasIn); @@ -8156,14 +8177,14 @@ function hasIn(object, path) { /***/ }), -/***/ 72714: +/***/ 46380: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(93589); -/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(18533); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); @@ -8189,7 +8210,7 @@ var symbolTag = '[object Symbol]'; */ function isSymbol(value) { return typeof value == 'symbol' || - ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value) == symbolTag); + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); @@ -8197,11 +8218,11 @@ function isSymbol(value) { /***/ }), -/***/ 49360: +/***/ 60372: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if `value` is `undefined`. @@ -8229,15 +8250,15 @@ function isUndefined(value) { /***/ }), -/***/ 17179: +/***/ 62420: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(87668); -/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(39473); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -8271,7 +8292,7 @@ function isUndefined(value) { * // => ['0', '1'] */ function keys(object) { - return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(object); + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); @@ -8279,16 +8300,16 @@ function keys(object) { /***/ }), -/***/ 43836: +/***/ 92696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(74073); -/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(74765); -/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(21018); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(1304); +/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(91312); +/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(90360); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8337,8 +8358,8 @@ function keys(object) { * // => ['barney', 'fred'] */ function map(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee, 3)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee, 3)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (map); @@ -8346,27 +8367,27 @@ function map(collection, iteratee) { /***/ }), -/***/ 61666: +/***/ 95108: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_pick) + c: () => (/* binding */ lodash_es_pick) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_castPath.js + 2 modules -var _castPath = __webpack_require__(22823); +var _castPath = __webpack_require__(58356); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIndex.js -var _isIndex = __webpack_require__(56009); +var _isIndex = __webpack_require__(748); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSet.js @@ -8385,10 +8406,10 @@ var _toKey = __webpack_require__(62281); * @returns {Object} Returns `object`. */ function baseSet(object, path, value, customizer) { - if (!(0,isObject/* default */.Z)(object)) { + if (!(0,isObject/* default */.c)(object)) { return object; } - path = (0,_castPath/* default */.Z)(path, object); + path = (0,_castPath/* default */.c)(path, object); var index = -1, length = path.length, @@ -8396,7 +8417,7 @@ function baseSet(object, path, value, customizer) { nested = object; while (nested != null && ++index < length) { - var key = (0,_toKey/* default */.Z)(path[index]), + var key = (0,_toKey/* default */.c)(path[index]), newValue = value; if (key === '__proto__' || key === 'constructor' || key === 'prototype') { @@ -8407,12 +8428,12 @@ function baseSet(object, path, value, customizer) { var objValue = nested[key]; newValue = customizer ? customizer(objValue, key, nested) : undefined; if (newValue === undefined) { - newValue = (0,isObject/* default */.Z)(objValue) + newValue = (0,isObject/* default */.c)(objValue) ? objValue - : ((0,_isIndex/* default */.Z)(path[index + 1]) ? [] : {}); + : ((0,_isIndex/* default */.c)(path[index + 1]) ? [] : {}); } } - (0,_assignValue/* default */.Z)(nested, key, newValue); + (0,_assignValue/* default */.c)(nested, key, newValue); nested = nested[key]; } return object; @@ -8441,10 +8462,10 @@ function basePickBy(object, paths, predicate) { while (++index < length) { var path = paths[index], - value = (0,_baseGet/* default */.Z)(object, path); + value = (0,_baseGet/* default */.c)(object, path); if (predicate(value, path)) { - _baseSet(result, (0,_castPath/* default */.Z)(path, object), value); + _baseSet(result, (0,_castPath/* default */.c)(path, object), value); } } return result; @@ -8453,7 +8474,7 @@ function basePickBy(object, paths, predicate) { /* harmony default export */ const _basePickBy = (basePickBy); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePick.js @@ -8469,18 +8490,18 @@ var hasIn = __webpack_require__(75487); */ function basePick(object, paths) { return _basePickBy(object, paths, function(value, path) { - return (0,hasIn/* default */.Z)(object, path); + return (0,hasIn/* default */.c)(object, path); }); } /* harmony default export */ const _basePick = (basePick); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/_overRest.js + 1 modules -var _overRest = __webpack_require__(81211); +var _overRest = __webpack_require__(10648); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToString.js + 2 modules -var _setToString = __webpack_require__(27227); +var _setToString = __webpack_require__(99669); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_flatRest.js @@ -8494,7 +8515,7 @@ var _setToString = __webpack_require__(27227); * @returns {Function} Returns the new function. */ function flatRest(func) { - return (0,_setToString/* default */.Z)((0,_overRest/* default */.Z)(func, undefined, flatten/* default */.Z), func + ''); + return (0,_setToString/* default */.c)((0,_overRest/* default */.c)(func, undefined, flatten/* default */.c), func + ''); } /* harmony default export */ const _flatRest = (flatRest); @@ -8529,13 +8550,13 @@ var pick = _flatRest(function(object, paths) { /***/ }), -/***/ 74379: +/***/ 52264: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_range) + c: () => (/* binding */ lodash_es_range) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseRange.js @@ -8569,9 +8590,9 @@ function baseRange(start, end, step, fromRight) { /* harmony default export */ const _baseRange = (baseRange); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createRange.js @@ -8586,18 +8607,18 @@ var toFinite = __webpack_require__(94099); */ function createRange(fromRight) { return function(start, end, step) { - if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.Z)(start, end, step)) { + if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.c)(start, end, step)) { end = step = undefined; } // Ensure the sign of `-0` is preserved. - start = (0,toFinite/* default */.Z)(start); + start = (0,toFinite/* default */.c)(start); if (end === undefined) { end = start; start = 0; } else { - end = (0,toFinite/* default */.Z)(end); + end = (0,toFinite/* default */.c)(end); } - step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.Z)(step); + step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.c)(step); return _baseRange(start, end, step, fromRight); }; } @@ -8655,13 +8676,13 @@ var range = _createRange(); /***/ }), -/***/ 92344: +/***/ 90460: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_reduce) + c: () => (/* binding */ lodash_es_reduce) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js @@ -8693,9 +8714,9 @@ function arrayReduce(array, iteratee, accumulator, initAccum) { /* harmony default export */ const _arrayReduce = (arrayReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js /** * The base implementation of `_.reduce` and `_.reduceRight`, without support @@ -8722,7 +8743,7 @@ function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { /* harmony default export */ const _baseReduce = (baseReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js @@ -8768,10 +8789,10 @@ var isArray = __webpack_require__(27771); * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) */ function reduce(collection, iteratee, accumulator) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayReduce : _baseReduce, + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, initAccum = arguments.length < 3; - return func(collection, (0,_baseIteratee/* default */.Z)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.Z); + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); } /* harmony default export */ const lodash_es_reduce = (reduce); @@ -8779,11 +8800,11 @@ function reduce(collection, iteratee, accumulator) { /***/ }), -/***/ 60532: +/***/ 41716: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * This method returns a new empty array. @@ -8812,13 +8833,13 @@ function stubArray() { /***/ }), -/***/ 94099: +/***/ 92400: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toFinite) + c: () => (/* binding */ lodash_es_toFinite) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_trimmedEndIndex.js @@ -8864,9 +8885,9 @@ function baseTrim(string) { /* harmony default export */ const _baseTrim = (baseTrim); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toNumber.js @@ -8914,12 +8935,12 @@ function toNumber(value) { if (typeof value == 'number') { return value; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return NAN; } - if ((0,isObject/* default */.Z)(value)) { + if ((0,isObject/* default */.c)(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = (0,isObject/* default */.Z)(other) ? (other + '') : other; + value = (0,isObject/* default */.c)(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; @@ -8980,23 +9001,23 @@ function toFinite(value) { /***/ }), -/***/ 50751: +/***/ 68019: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toString) + c: () => (/* binding */ lodash_es_toString) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js @@ -9007,7 +9028,7 @@ var isSymbol = __webpack_require__(72714); var INFINITY = 1 / 0; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolToString = symbolProto ? symbolProto.toString : undefined; /** @@ -9023,11 +9044,11 @@ function baseToString(value) { if (typeof value == 'string') { return value; } - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { // Recursively convert values (susceptible to call stack limits). - return (0,_arrayMap/* default */.Z)(value, baseToString) + ''; + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return symbolToString ? symbolToString.call(value) : ''; } var result = (value + ''); @@ -9069,13 +9090,13 @@ function toString_toString(value) { /***/ }), -/***/ 66749: +/***/ 41696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50751); +/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(68019); /** Used to generate unique IDs. */ @@ -9100,7 +9121,7 @@ var idCounter = 0; */ function uniqueId(prefix) { var id = ++idCounter; - return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(prefix) + id; + return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(prefix) + id; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (uniqueId); @@ -9108,17 +9129,17 @@ function uniqueId(prefix) { /***/ }), -/***/ 34148: +/***/ 36: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_values) + c: () => (/* binding */ lodash_es_values) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js @@ -9133,7 +9154,7 @@ var _arrayMap = __webpack_require__(74073); * @returns {Object} Returns the array of property values. */ function baseValues(object, props) { - return (0,_arrayMap/* default */.Z)(props, function(key) { + return (0,_arrayMap/* default */.c)(props, function(key) { return object[key]; }); } @@ -9141,7 +9162,7 @@ function baseValues(object, props) { /* harmony default export */ const _baseValues = (baseValues); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js @@ -9173,7 +9194,7 @@ var keys = __webpack_require__(17179); * // => ['h', 'i'] */ function values(object) { - return object == null ? [] : _baseValues(object, (0,keys/* default */.Z)(object)); + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); } /* harmony default export */ const lodash_es_values = (values); @@ -9181,7 +9202,7 @@ function values(object) { /***/ }), -/***/ 76562: +/***/ 73748: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { @@ -9206,8 +9227,8 @@ __webpack_require__.d(constructs_namespaceObject, { text: () => (constructs_text) }); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); ;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js /** * @typedef {import('mdast').Root|import('mdast').Content} Node @@ -21815,14 +21836,14 @@ function defaultOnError(left, right) { } // EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js -var esm = __webpack_require__(18464); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-a48a4c90.js +var esm = __webpack_require__(71408); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-423428c9.js function preprocessMarkdown(markdown) { const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); - const withoutExtraSpaces = (0,esm/* dedent */.Z)(withoutMultipleNewlines); + const withoutExtraSpaces = (0,esm/* dedent */.s)(withoutMultipleNewlines); return withoutExtraSpaces; } function markdownToLines(markdown) { @@ -22044,12 +22065,12 @@ const createText = (el, text = "", { width = 200, addSvgBackground = false } = {}) => { - mermaid_04fb0060.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); + mermaid_0603ccf8.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); if (useHtmlLabels) { const htmlText = markdownToHTML(text); const node = { isNode, - label: (0,mermaid_04fb0060.J)(htmlText).replace( + label: (0,mermaid_0603ccf8.J)(htmlText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ), @@ -22068,7 +22089,7 @@ const createText = (el, text = "", { /***/ }), -/***/ 52494: +/***/ 79680: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -22078,19 +22099,20 @@ const createText = (el, text = "", { /* harmony export */ d: () => (/* binding */ clear), /* harmony export */ e: () => (/* binding */ insertNode), /* harmony export */ f: () => (/* binding */ insertEdgeLabel), -/* harmony export */ g: () => (/* binding */ insertEdge), -/* harmony export */ h: () => (/* binding */ positionEdgeLabel), +/* harmony export */ g: () => (/* binding */ getSubGraphTitleMargins), +/* harmony export */ h: () => (/* binding */ insertEdge), /* harmony export */ i: () => (/* binding */ intersectRect$1), -/* harmony export */ j: () => (/* binding */ getLineFunctionsWithOffset), -/* harmony export */ k: () => (/* binding */ addEdgeMarkers), +/* harmony export */ j: () => (/* binding */ positionEdgeLabel), +/* harmony export */ k: () => (/* binding */ getLineFunctionsWithOffset), /* harmony export */ l: () => (/* binding */ labelHelper), +/* harmony export */ m: () => (/* binding */ addEdgeMarkers), /* harmony export */ p: () => (/* binding */ positionNode), /* harmony export */ s: () => (/* binding */ setNodeElem), /* harmony export */ u: () => (/* binding */ updateNodeBounds) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(76562); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(73748); @@ -22100,7 +22122,7 @@ const insertMarkers = (elem, markerArray, type, id) => { }); }; const extension = (elem, type, id) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionStart").attr("class", "marker extension " + type).attr("refX", 18).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 1,7 L18,13 V 1 Z"); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionEnd").attr("class", "marker extension " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 1,1 V 13 L18,7 Z"); }; @@ -22153,7 +22175,7 @@ function applyStyle(dom, styleFn) { } } function addHtmlLabel(node) { - const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); + const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); const div = fo.append("xhtml:div"); const label = node.label; const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; @@ -22171,12 +22193,12 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { if (typeof vertexText === "object") { vertexText = vertexText[0]; } - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { vertexText = vertexText.replace(/\\n|\n/g, "
"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("vertexText" + vertexText); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("vertexText" + vertexText); const node = { isNode, - label: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( + label: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ), @@ -22214,7 +22236,7 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { const createLabel$1 = createLabel; const labelHelper = async (parent, node, _classes, isNode) => { let classes; - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); if (!_classes) { classes = "node default"; } else { @@ -22231,15 +22253,15 @@ const labelHelper = async (parent, node, _classes, isNode) => { const textNode = label.node(); let text; if (node.labelType === "markdown") { - text = (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { + text = (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { useHtmlLabels, - width: node.width || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, + width: node.width || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, classes: "markdown-node-label" }); } else { text = textNode.appendChild( createLabel$1( - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), node.labelStyle, false, isNode @@ -22248,9 +22270,9 @@ const labelHelper = async (parent, node, _classes, isNode) => { } let bbox = text.getBBox(); const halfPadding = node.padding / 2; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); const images = div.getElementsByTagName("img"); if (images) { const noImgText = labelText.replace(/]*>/g, "").trim() === ""; @@ -22261,7 +22283,7 @@ const labelHelper = async (parent, node, _classes, isNode) => { img.style.display = "flex"; img.style.flexDirection = "column"; if (noImgText) { - const bodyFontSize = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; + const bodyFontSize = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; const enlargingFactor = 5; const width = parseInt(bodyFontSize, 10) * enlargingFactor + "px"; img.style.minWidth = width; @@ -22445,7 +22467,7 @@ const intersect = { rect: intersectRect$1 }; const note = async (parent, node) => { - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; if (!useHtmlLabels) { node.centerLabel = true; } @@ -22455,7 +22477,7 @@ const note = async (parent, node) => { "node " + node.classes, true ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); const rect2 = shapeSvg.insert("rect", ":first-child"); rect2.attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); updateNodeBounds(node, rect2); @@ -22465,6 +22487,208 @@ const note = async (parent, node) => { return shapeSvg; }; const note$1 = note; +const expandAndDeduplicateDirections = (directions) => { + const uniqueDirections = /* @__PURE__ */ new Set(); + for (const direction of directions) { + switch (direction) { + case "x": + uniqueDirections.add("right"); + uniqueDirections.add("left"); + break; + case "y": + uniqueDirections.add("up"); + uniqueDirections.add("down"); + break; + default: + uniqueDirections.add(direction); + break; + } + } + return uniqueDirections; +}; +const getArrowPoints = (duplicatedDirections, bbox, node) => { + const directions = expandAndDeduplicateDirections(duplicatedDirections); + const f = 2; + const height = bbox.height + 2 * node.padding; + const midpoint = height / f; + const width = bbox.width + 2 * midpoint + node.padding; + const padding = node.padding / 2; + if (directions.has("right") && directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + // Bottom + { x: 0, y: 0 }, + { x: midpoint, y: 0 }, + { x: width / 2, y: 2 * padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: 0 }, + // Right + { x: width, y: -height / 3 }, + { x: width + 2 * padding, y: -height / 2 }, + { x: width, y: -2 * height / 3 }, + { x: width, y: -height }, + // Top + { x: width - midpoint, y: -height }, + { x: width / 2, y: -height - 2 * padding }, + { x: midpoint, y: -height }, + // Left + { x: 0, y: -height }, + { x: 0, y: -2 * height / 3 }, + { x: -2 * padding, y: -height / 2 }, + { x: 0, y: -height / 3 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("up")) { + return [ + { x: midpoint, y: 0 }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: midpoint, y: -height }, + { x: width - midpoint, y: -height }, + { x: width, y: 0 } + ]; + } + if (directions.has("right") && directions.has("up") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: width, y: -height + midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: 0, y: -height + midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("right") && directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up") && directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + if (directions.has("right") && directions.has("up")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("right") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: 0 }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("left") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: 0 }, + { x: width, y: -height } + ]; + } + if (directions.has("right")) { + return [ + { x: midpoint, y: -padding }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + // top left corner of arrow + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding } + ]; + } + if (directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + // Two points, the right corners + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up")) { + return [ + // Bottom center + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding } + ]; + } + if (directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + return [{ x: 0, y: 0 }]; +}; const formatClass = (str) => { if (str) { return " " + str; @@ -22492,12 +22716,12 @@ const question = async (parent, node) => { { x: s / 2, y: -s }, { x: 0, y: -s / 2 } ]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); const questionElem = insertPolygonShape(shapeSvg, s, s, points); questionElem.attr("style", node.style); updateNodeBounds(node, questionElem); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); return intersect.polygon(node, points, point2); }; return shapeSvg; @@ -22552,6 +22776,21 @@ const hexagon = async (parent, node) => { }; return shapeSvg; }; +const block_arrow = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper(parent, node, void 0, true); + const f = 2; + const h = bbox.height + 2 * node.padding; + const m = h / f; + const w = bbox.width + 2 * m + node.padding; + const points = getArrowPoints(node.directions, bbox, node); + const blockArrow = insertPolygonShape(shapeSvg, w, h, points); + blockArrow.attr("style", node.style); + updateNodeBounds(node, blockArrow); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; const rect_left_inv_arrow = async (parent, node) => { const { shapeSvg, bbox } = await labelHelper( parent, @@ -22728,9 +22967,40 @@ const rect = async (parent, node) => { true ); const rect2 = shapeSvg.insert("rect", ":first-child"); - const totalWidth = bbox.width + node.padding; - const totalHeight = bbox.height + node.padding; - rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", totalWidth).attr("height", totalHeight); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); + if (node.props) { + const propKeys = new Set(Object.keys(node.props)); + if (node.props.borders) { + applyNodePropertyBorders(rect2, node.props.borders, totalWidth, totalHeight); + propKeys.delete("borders"); + } + propKeys.forEach((propKey) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + }); + } + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const composite = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + "node " + node.classes, + true + ); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic cluster composite label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); if (node.props) { const propKeys = new Set(Object.keys(node.props)); if (node.props.borders) { @@ -22738,7 +23008,7 @@ const rect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -22749,7 +23019,7 @@ const rect = async (parent, node) => { }; const labelRect = async (parent, node) => { const { shapeSvg } = await labelHelper(parent, node, "label", true); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); const rect2 = shapeSvg.insert("rect", ":first-child"); const totalWidth = 0; const totalHeight = 0; @@ -22762,7 +23032,7 @@ const labelRect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -22780,25 +23050,25 @@ function applyNodePropertyBorders(rect2, borders, totalWidth, totalHeight) { strokeDashArray.push(0, length); }; if (borders.includes("t")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("r")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); addBorder(totalHeight); } else { skipBorder(totalHeight); } if (borders.includes("b")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("l")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); addBorder(totalHeight); } else { skipBorder(totalHeight); @@ -22823,36 +23093,36 @@ const rectWithTitle = (parent, node) => { } else { title = text2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); const text = label.node().appendChild(createLabel$1(title, node.labelStyle, true, true)); let bbox = { width: 0, height: 0 }; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); const textRows = text2.slice(1, text2.length); let titleBox = text.getBBox(); const descr = label.node().appendChild( createLabel$1(textRows.join ? textRows.join("
") : textRows, node.labelStyle, true, true) ); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = descr.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } const halfPadding = node.padding / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width > titleBox.width ? 0 : (titleBox.width - bbox.width) / 2) + ", " + (titleBox.height + halfPadding + 5) + ")" ); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width < titleBox.width ? 0 : -(titleBox.width - bbox.width) / 2) + ", 0)" @@ -22895,10 +23165,10 @@ const circle = async (parent, node) => { ); const circle2 = shapeSvg.insert("circle", ":first-child"); circle2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); updateNodeBounds(node, circle2); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); return intersect.circle(node, bbox.width / 2 + halfPadding, point2); }; return shapeSvg; @@ -22917,10 +23187,10 @@ const doublecircle = async (parent, node) => { circleGroup.attr("class", node.class); outerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding + gap).attr("width", bbox.width + node.padding + gap * 2).attr("height", bbox.height + node.padding + gap * 2); innerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); updateNodeBounds(node, outerCircle); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); return intersect.circle(node, bbox.width / 2 + halfPadding + gap, point2); }; return shapeSvg; @@ -23015,9 +23285,9 @@ const class_box = (parent, node) => { const interfaceLabelText = node.classData.annotations[0] ? "«" + node.classData.annotations[0] + "»" : ""; const interfaceLabel = labelContainer.node().appendChild(createLabel$1(interfaceLabelText, node.labelStyle, true, true)); let interfaceBBox = interfaceLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = interfaceLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel); interfaceBBox = div.getBoundingClientRect(); dv.attr("width", interfaceBBox.width); dv.attr("height", interfaceBBox.height); @@ -23028,18 +23298,18 @@ const class_box = (parent, node) => { } let classTitleString = node.classData.label; if (node.classData.type !== void 0 && node.classData.type !== "") { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { classTitleString += "<" + node.classData.type + ">"; } else { classTitleString += "<" + node.classData.type + ">"; } } const classTitleLabel = labelContainer.node().appendChild(createLabel$1(classTitleString, node.labelStyle, true, true)); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr("class", "classTitle"); + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr("class", "classTitle"); let classTitleBBox = classTitleLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = classTitleLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel); classTitleBBox = div.getBoundingClientRect(); dv.attr("width", classTitleBBox.width); dv.attr("height", classTitleBBox.height); @@ -23052,7 +23322,7 @@ const class_box = (parent, node) => { node.classData.members.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let parsedText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { parsedText = parsedText.replace(//g, ">"); } const lbl = labelContainer.node().appendChild( @@ -23064,9 +23334,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23082,7 +23352,7 @@ const class_box = (parent, node) => { node.classData.methods.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let displayText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { displayText = displayText.replace(//g, ">"); } const lbl = labelContainer.node().appendChild( @@ -23094,9 +23364,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23110,14 +23380,14 @@ const class_box = (parent, node) => { maxHeight += lineHeight; if (hasInterface) { let diffX2 = (maxWidth - interfaceBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX2) + ", " + -1 * maxHeight / 2 + ")" ); verticalPos = interfaceBBox.height + rowPadding; } let diffX = (maxWidth - classTitleBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX) + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -23125,7 +23395,7 @@ const class_box = (parent, node) => { topLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classAttributes.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos + lineHeight / 2) + ")" ); @@ -23136,7 +23406,7 @@ const class_box = (parent, node) => { bottomLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classMethods.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -23152,6 +23422,7 @@ const class_box = (parent, node) => { }; const shapes = { rhombus: question, + composite, question, rect, labelRect, @@ -23161,6 +23432,7 @@ const shapes = { doublecircle, stadium, hexagon, + block_arrow, rect_left_inv_arrow, lean_right, lean_left, @@ -23182,7 +23454,7 @@ const insertNode = async (elem, node, dir) => { let el; if (node.link) { let target; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { target = "_top"; } else if (node.linkTarget) { target = node.linkTarget || "_blank"; @@ -23199,6 +23471,8 @@ const insertNode = async (elem, node, dir) => { if (node.class) { el.attr("class", "node default " + node.class); } + newEl.attr("data-node", "true"); + newEl.attr("data-id", node.id); nodeElems[node.id] = newEl; if (node.haveCallback) { nodeElems[node.id].attr("class", nodeElems[node.id].attr("class") + " clickable"); @@ -23213,7 +23487,7 @@ const clear$1 = () => { }; const positionNode = (node) => { const el = nodeElems[node.id]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( "Transforming node", node.diff, node, @@ -23231,6 +23505,19 @@ const positionNode = (node) => { } return diff; }; +const getSubGraphTitleMargins = ({ + flowchart +}) => { + var _a, _b; + const subGraphTitleTopMargin = ((_a = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _a.top) ?? 0; + const subGraphTitleBottomMargin = ((_b = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _b.bottom) ?? 0; + const subGraphTitleTotalMargin = subGraphTitleTopMargin + subGraphTitleBottomMargin; + return { + subGraphTitleTopMargin, + subGraphTitleBottomMargin, + subGraphTitleTotalMargin + }; +}; const markerOffsets = { aggregation: 18, extension: 18, @@ -23311,7 +23598,7 @@ const arrowTypesMap = { const addEdgeMarker = (svgPath, position, arrowType, url, id, diagramType) => { const endMarkerType = arrowTypesMap[arrowType]; if (!endMarkerType) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); return; } const suffix = position === "start" ? "Start" : "End"; @@ -23324,20 +23611,19 @@ const clear = () => { terminalLabels = {}; }; const insertEdgeLabel = (elem, edge) => { - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); - const labelElement = edge.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const labelElement = edge.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { style: edge.labelStyle, useHtmlLabels, addSvgBackground: true }) : createLabel$1(edge.label, edge.labelStyle); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc82", edge, edge.labelType); const edgeLabel = elem.insert("g").attr("class", "edgeLabel"); const label = edgeLabel.insert("g").attr("class", "label"); label.node().appendChild(labelElement); let bbox = labelElement.getBBox(); if (useHtmlLabels) { const div = labelElement.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(labelElement); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(labelElement); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23405,21 +23691,23 @@ const insertEdgeLabel = (elem, edge) => { return labelElement; }; function setTerminalWidth(fo, value) { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { fo.style.width = value.length * 9 + "px"; fo.style.height = "12px"; } } const positionEdgeLabel = (edge, paths) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Moving label abc78 ", edge.id, edge.label, edgeLabels[edge.id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Moving label abc88 ", edge.id, edge.label, edgeLabels[edge.id], paths); let path = paths.updatedPath ? paths.updatedPath : paths.originalPath; + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const { subGraphTitleTotalMargin } = getSubGraphTitleMargins(siteConfig); if (edge.label) { const el = edgeLabels[edge.id]; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug( "Moving label " + edge.label + " from (", x, ",", @@ -23428,32 +23716,32 @@ const positionEdgeLabel = (edge, paths) => { pos.x, ",", pos.y, - ") abc78" + ") abc88" ); if (paths.updatedPath) { x = pos.x; y = pos.y; } } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y + subGraphTitleTotalMargin / 2})`); } if (edge.startLabelLeft) { const el = terminalLabels[edge.id].startLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.startLabelRight) { const el = terminalLabels[edge.id].startRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( edge.arrowTypeStart ? 10 : 0, "start_right", path @@ -23461,29 +23749,29 @@ const positionEdgeLabel = (edge, paths) => { x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelLeft) { const el = terminalLabels[edge.id].endLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelRight) { const el = terminalLabels[edge.id].endRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } }; const outsideNode = (node, point2) => { @@ -23499,7 +23787,7 @@ const outsideNode = (node, point2) => { return false; }; const intersection = (node, outsidePoint, insidePoint) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`intersection calc abc89: + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`intersection calc abc89: outsidePoint: ${JSON.stringify(outsidePoint)} insidePoint : ${JSON.stringify(insidePoint)} node : x:${node.x} y:${node.y} w:${node.width} h:${node.height}`); @@ -23528,7 +23816,7 @@ const intersection = (node, outsidePoint, insidePoint) => { if (Q === 0) { res.y = outsidePoint.y; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); return res; } else { if (insidePoint.x < outsidePoint.x) { @@ -23539,7 +23827,7 @@ const intersection = (node, outsidePoint, insidePoint) => { let q = Q * r / R; let _x = insidePoint.x < outsidePoint.x ? insidePoint.x + R - r : insidePoint.x - R + r; let _y = insidePoint.y < outsidePoint.y ? insidePoint.y + q : insidePoint.y - q; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); if (r === 0) { _x = outsidePoint.x; _y = outsidePoint.y; @@ -23554,71 +23842,58 @@ const intersection = (node, outsidePoint, insidePoint) => { } }; const cutPathAtIntersect = (_points, boundryNode) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 cutPathAtIntersect", _points, boundryNode); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 cutPathAtIntersect", _points, boundryNode); let points = []; let lastPointOutside = _points[0]; let isInside = false; _points.forEach((point2) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 checking point", point2, boundryNode); if (!outsideNode(boundryNode, point2) && !isInside) { const inter = intersection(boundryNode, lastPointOutside, point2); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 inside", point2, lastPointOutside, inter); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 intersection", inter); let pointPresent = false; points.forEach((p) => { pointPresent = pointPresent || p.x === inter.x && p.y === inter.y; }); if (!points.some((e) => e.x === inter.x && e.y === inter.y)) { points.push(inter); - } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 no intersect", inter, points); } isInside = true; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 outside", point2, lastPointOutside); lastPointOutside = point2; if (!isInside) { points.push(point2); } } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 returning points", points); return points; }; const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { let points = edge.points; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 InsertEdge: edge=", edge, "e=", e); let pointsHasChanged = false; const tail = graph.node(e.v); var head = graph.node(e.w); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 InsertEdge: ", edge); - if (head.intersect && tail.intersect) { + if ((head == null ? void 0 : head.intersect) && (tail == null ? void 0 : tail.intersect)) { points = points.slice(1, edge.points.length - 1); points.unshift(tail.intersect(points[0])); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( - "Last point", - points[points.length - 1], - head, - head.intersect(points[points.length - 1]) - ); points.push(head.intersect(points[points.length - 1])); } if (edge.toCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("to cluster abc88", clusterDb[edge.toCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("to cluster abc88", clusterDb[edge.toCluster]); points = cutPathAtIntersect(edge.points, clusterDb[edge.toCluster].node); pointsHasChanged = true; } if (edge.fromCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("from cluster abc88", clusterDb[edge.fromCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("from cluster abc88", clusterDb[edge.fromCluster]); points = cutPathAtIntersect(points.reverse(), clusterDb[edge.fromCluster].node).reverse(); pointsHasChanged = true; } const lineData = points.filter((p) => !Number.isNaN(p.y)); - let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .$0Z; + let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .k7; if (edge.curve && (diagramType === "graph" || diagramType === "flowchart")) { curve = edge.curve; } const { x, y } = getLineFunctionsWithOffset(edge); - const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(x).y(y).curve(curve); + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(x).y(y).curve(curve); let strokeClasses; switch (edge.thickness) { case "normal": @@ -23646,13 +23921,11 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { } const svgPath = elem.append("path").attr("d", lineFunction(lineData)).attr("id", edge.id).attr("class", " " + strokeClasses + (edge.classes ? " " + edge.classes : "")).attr("style", edge.style); let url = ""; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { url = window.location.protocol + "//" + window.location.host + window.location.pathname + window.location.search; url = url.replace(/\(/g, "\\("); url = url.replace(/\)/g, "\\)"); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeStart", edge.arrowTypeStart); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeEnd", edge.arrowTypeEnd); addEdgeMarkers(svgPath, edge, url, id, diagramType); let paths = {}; if (pointsHasChanged) { @@ -23666,7 +23939,7 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { /***/ }), -/***/ 94641: +/***/ 4216: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -23674,8 +23947,8 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { /* harmony export */ f: () => (/* binding */ flowDb), /* harmony export */ p: () => (/* binding */ parser$1) /* harmony export */ }); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); var parser = function() { @@ -24758,7 +25031,7 @@ parser.parser = parser; const parser$1 = parser; const MERMAID_DOM_ID_PREFIX = "flowchart-"; let vertexCounter = 0; -let config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); +let config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); let vertices = {}; let edges = []; let classes = {}; @@ -24770,7 +25043,7 @@ let firstGraphFlag = true; let direction; let version; let funs = []; -const sanitizeText = (txt) => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, config); +const sanitizeText = (txt) => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, config); const lookUpDomId = function(id) { const veritceKeys = Object.keys(vertices); for (const veritceKey of veritceKeys) { @@ -24800,7 +25073,7 @@ const addVertex = function(_id, textObj, type, style, classes2, dir, props = {}) } vertexCounter++; if (textObj !== void 0) { - config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); txt = sanitizeText(textObj.text.trim()); vertices[id].labelType = textObj.type; if (txt[0] === '"' && txt[txt.length - 1] === '"') { @@ -24838,7 +25111,7 @@ const addSingleLink = function(_start, _end, type) { let start = _start; let end = _end; const edge = { start, end, type: void 0, text: "", labelType: "text" }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 Got edge...", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 Got edge...", edge); const linkTextObj = type.text; if (linkTextObj !== void 0) { edge.text = sanitizeText(linkTextObj.text.trim()); @@ -24856,7 +25129,7 @@ const addSingleLink = function(_start, _end, type) { edge.length = 10; } if (edges.length < (config.maxEdges ?? 500)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 pushing edge..."); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc78 pushing edge..."); edges.push(edge); } else { throw new Error( @@ -24869,7 +25142,7 @@ You have to call mermaid.initialize.` } }; const addLink = function(_start, _end, type) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("addLink (abc78)", _start, _end, type); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("addLink (abc78)", _start, _end, type); let i, j; for (i = 0; i < _start.length; i++) { for (j = 0; j < _end.length; j++) { @@ -24896,7 +25169,7 @@ const updateLink = function(positions, style) { if (pos === "default") { edges.defaultStyle = style; } else { - if (_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.isSubstringInArray("fill", style) === -1) { + if (_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.isSubstringInArray("fill", style) === -1) { style.push("fill:none"); } edges[pos].style = style; @@ -24957,7 +25230,7 @@ const setTooltip = function(ids, tooltip) { }; const setClickFun = function(id, functionName, functionArgs) { let domId = lookUpDomId(id); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel !== "loose") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel !== "loose") { return; } if (functionName === void 0) { @@ -24985,7 +25258,7 @@ const setClickFun = function(id, functionName, functionArgs) { elem.addEventListener( "click", function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); }, false ); @@ -24996,7 +25269,7 @@ const setClickFun = function(id, functionName, functionArgs) { const setLink = function(ids, linkStr, target) { ids.split(",").forEach(function(id) { if (vertices[id] !== void 0) { - vertices[id].link = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); + vertices[id].link = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); vertices[id].linkTarget = target; } }); @@ -25032,14 +25305,14 @@ const getClasses = function() { return classes; }; const setupToolTips = function(element) { - let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(".mermaidTooltip"); + let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(".mermaidTooltip"); if ((tooltipElem._groups || tooltipElem)[0][0] === null) { - tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); + tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); } - const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(element).select("svg"); + const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(element).select("svg"); const nodes = svg.selectAll("g.node"); nodes.on("mouseover", function() { - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); const title = el.attr("title"); if (title === null) { return; @@ -25051,7 +25324,7 @@ const setupToolTips = function(element) { el.classed("hover", true); }).on("mouseout", function() { tooltipElem.transition().duration(500).style("opacity", 0); - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); el.classed("hover", false); }); }; @@ -25067,8 +25340,8 @@ const clear = function(ver = "gen-1") { tooltips = {}; firstGraphFlag = true; version = ver; - config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.t)(); + config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.t)(); }; const setGen = (ver) => { version = ver || "gen-2"; @@ -25123,7 +25396,7 @@ const addSubGraph = function(_id, list, _title) { dir, labelType: _title.type }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Adding", subGraph.id, subGraph.nodes, subGraph.dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Adding", subGraph.id, subGraph.nodes, subGraph.dir); subGraph.nodes = makeUniq(subGraph, subGraphs).nodes; subGraphs.push(subGraph); subGraphLookup[id] = subGraph; @@ -25318,11 +25591,11 @@ const lex = { firstGraph }; const flowDb = { - defaultConfig: () => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.I.flowchart, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.g, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.b, + defaultConfig: () => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.H.flowchart, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.g, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.b, addVertex, lookUpDomId, addLink, @@ -25351,8 +25624,8 @@ const flowDb = { lex, exists, makeUniq, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.r + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.r }; const db = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ __proto__: null, @@ -25390,22 +25663,22 @@ const db = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ /***/ }), -/***/ 90089: +/***/ 22728: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _flowDb_f4777d50_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(94641); -/* harmony import */ var _styles_b39df0e1_js__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(94788); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(45625); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(39354); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(22424); +/* harmony import */ var _flowDb_d35e309a_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(4216); +/* harmony import */ var _styles_7383a064_js__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(51432); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(95536); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(41520); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(57776); @@ -25428,19 +25701,19 @@ const db = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ const diagram = { - parser: _flowDb_f4777d50_js__WEBPACK_IMPORTED_MODULE_7__.p, - db: _flowDb_f4777d50_js__WEBPACK_IMPORTED_MODULE_7__.f, - renderer: _styles_b39df0e1_js__WEBPACK_IMPORTED_MODULE_8__.f, - styles: _styles_b39df0e1_js__WEBPACK_IMPORTED_MODULE_8__.a, + parser: _flowDb_d35e309a_js__WEBPACK_IMPORTED_MODULE_7__.p, + db: _flowDb_d35e309a_js__WEBPACK_IMPORTED_MODULE_7__.f, + renderer: _styles_7383a064_js__WEBPACK_IMPORTED_MODULE_8__.f, + styles: _styles_7383a064_js__WEBPACK_IMPORTED_MODULE_8__.a, init: (cnf) => { if (!cnf.flowchart) { cnf.flowchart = {}; } cnf.flowchart.arrowMarkerAbsolute = cnf.arrowMarkerAbsolute; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_9__.p)({ flowchart: { arrowMarkerAbsolute: cnf.arrowMarkerAbsolute } }); - _styles_b39df0e1_js__WEBPACK_IMPORTED_MODULE_8__.f.setConf(cnf.flowchart); - _flowDb_f4777d50_js__WEBPACK_IMPORTED_MODULE_7__.f.clear(); - _flowDb_f4777d50_js__WEBPACK_IMPORTED_MODULE_7__.f.setGen("gen-2"); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_9__.p)({ flowchart: { arrowMarkerAbsolute: cnf.arrowMarkerAbsolute } }); + _styles_7383a064_js__WEBPACK_IMPORTED_MODULE_8__.f.setConf(cnf.flowchart); + _flowDb_d35e309a_js__WEBPACK_IMPORTED_MODULE_7__.f.clear(); + _flowDb_d35e309a_js__WEBPACK_IMPORTED_MODULE_7__.f.setGen("gen-2"); } }; @@ -25448,19 +25721,19 @@ const diagram = { /***/ }), -/***/ 74852: +/***/ 37024: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ r: () => (/* binding */ render) /* harmony export */ }); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(39354); -/* harmony import */ var _edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(52494); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(45625); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(76562); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(64218); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(41520); +/* harmony import */ var _edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79680); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95536); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(73748); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(37352); @@ -25477,15 +25750,15 @@ const clear$1 = () => { clusterDb = {}; }; const isDescendant = (id, ancenstorId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("In isDecendant", ancenstorId, " ", id, " = ", descendants[ancenstorId].includes(id)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("In isDecendant", ancenstorId, " ", id, " = ", descendants[ancenstorId].includes(id)); if (descendants[ancenstorId].includes(id)) { return true; } return false; }; const edgeInCluster = (edge, clusterId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Decendants of ", clusterId, " is ", descendants[clusterId]); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge is ", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Decendants of ", clusterId, " is ", descendants[clusterId]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge is ", edge); if (edge.v === clusterId) { return false; } @@ -25493,13 +25766,13 @@ const edgeInCluster = (edge, clusterId) => { return false; } if (!descendants[clusterId]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Tilt, ", clusterId, ",not in decendants"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Tilt, ", clusterId, ",not in decendants"); return false; } return descendants[clusterId].includes(edge.v) || isDescendant(edge.v, clusterId) || isDescendant(edge.w, clusterId) || descendants[clusterId].includes(edge.w); }; const copy = (clusterId, graph, newGraph, rootId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Copying children of ", clusterId, "root", @@ -25512,24 +25785,24 @@ const copy = (clusterId, graph, newGraph, rootId) => { if (clusterId !== rootId) { nodes.push(clusterId); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Copying (nodes) clusterId", clusterId, "nodes", nodes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Copying (nodes) clusterId", clusterId, "nodes", nodes); nodes.forEach((node) => { if (graph.children(node).length > 0) { copy(node, graph, newGraph, rootId); } else { const data = graph.node(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("cp ", node, " to ", rootId, " with parent ", clusterId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("cp ", node, " to ", rootId, " with parent ", clusterId); newGraph.setNode(node, data); if (rootId !== graph.parent(node)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Setting parent", node, graph.parent(node)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Setting parent", node, graph.parent(node)); newGraph.setParent(node, graph.parent(node)); } if (clusterId !== rootId && node !== clusterId) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Setting parent", node, clusterId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Setting parent", node, clusterId); newGraph.setParent(node, clusterId); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("In copy ", clusterId, "root", rootId, "data", graph.node(clusterId), rootId); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("In copy ", clusterId, "root", rootId, "data", graph.node(clusterId), rootId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( "Not Setting parent for node=", node, "cluster!==rootId", @@ -25539,18 +25812,18 @@ const copy = (clusterId, graph, newGraph, rootId) => { ); } const edges = graph.edges(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Copying Edges", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Copying Edges", edges); edges.forEach((edge) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge", edge); const data2 = graph.edge(edge.v, edge.w, edge.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge data", data2, rootId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge data", data2, rootId); try { if (edgeInCluster(edge, rootId)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Copying as ", edge.v, edge.w, data2, edge.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Copying as ", edge.v, edge.w, data2, edge.name); newGraph.setEdge(edge.v, edge.w, data2, edge.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("newGraph edges ", newGraph.edges(), newGraph.edge(newGraph.edges()[0])); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("newGraph edges ", newGraph.edges(), newGraph.edge(newGraph.edges()[0])); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info( "Skipping copy of edge ", edge.v, "-->", @@ -25562,11 +25835,11 @@ const copy = (clusterId, graph, newGraph, rootId) => { ); } } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error(e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error(e); } }); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Removing node", node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Removing node", node); graph.removeNode(node); }); }; @@ -25580,17 +25853,17 @@ const extractDescendants = (id, graph) => { return res; }; const findNonClusterChild = (id, graph) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching", id); const children = graph.children(id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching children of id ", id, children); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching children of id ", id, children); if (children.length < 1) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("This is a valid node", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("This is a valid node", id); return id; } for (const child of children) { const _id = findNonClusterChild(child, graph); if (_id) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Found replacement for", id, " => ", _id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Found replacement for", id, " => ", _id); return _id; } } @@ -25609,15 +25882,15 @@ const getAnchorId = (id) => { }; const adjustClustersAndEdges = (graph, depth) => { if (!graph || depth > 10) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting out, no graph "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting out, no graph "); return; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting in, graph "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting in, graph "); } graph.nodes().forEach(function(id) { const children = graph.children(id); if (children.length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster identified", id, " Replacement id in edges: ", @@ -25631,29 +25904,36 @@ const adjustClustersAndEdges = (graph, depth) => { const children = graph.children(id); const edges = graph.edges(); if (children.length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Cluster identified", id, descendants); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Cluster identified", id, descendants); edges.forEach((edge) => { if (edge.v !== id && edge.w !== id) { const d1 = isDescendant(edge.v, id); const d2 = isDescendant(edge.w, id); if (d1 ^ d2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge: ", edge, " leaves cluster ", id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Decendants of XXX ", id, ": ", descendants[id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge: ", edge, " leaves cluster ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Decendants of XXX ", id, ": ", descendants[id]); clusterDb[id].externalConnections = true; } } }); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster ", id, descendants); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster ", id, descendants); } }); + for (let id of Object.keys(clusterDb)) { + const nonClusterChild = clusterDb[id].id; + const parent = graph.parent(nonClusterChild); + if (parent !== id && clusterDb[parent] && !clusterDb[parent].externalConnections) { + clusterDb[id].id = parent; + } + } graph.edges().forEach(function(e) { const edge = graph.edge(e); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); let v = e.v; let w = e.w; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Fix XXX", clusterDb, "ids:", @@ -25665,8 +25945,8 @@ const adjustClustersAndEdges = (graph, depth) => { clusterDb[e.w] ); if (clusterDb[e.v] && clusterDb[e.w] && clusterDb[e.v] === clusterDb[e.w]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing link to self - removing XXX", e.v, e.w, e.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing link to self - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); v = getAnchorId(e.v); w = getAnchorId(e.w); graph.removeEdge(e.v, e.w, e.name); @@ -25690,28 +25970,32 @@ const adjustClustersAndEdges = (graph, depth) => { graph.setEdge(v, specialId, edge1, e.name + "-cyclic-special"); graph.setEdge(specialId, w, edge2, e.name + "-cyclic-special"); } else if (clusterDb[e.v] || clusterDb[e.w]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); v = getAnchorId(e.v); w = getAnchorId(e.w); graph.removeEdge(e.v, e.w, e.name); if (v !== e.v) { + const parent = graph.parent(v); + clusterDb[parent].externalConnections = true; edge.fromCluster = e.v; } if (w !== e.w) { + const parent = graph.parent(w); + clusterDb[parent].externalConnections = true; edge.toCluster = e.w; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fix Replacing with XXX", v, w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fix Replacing with XXX", v, w, e.name); graph.setEdge(v, w, edge, e.name); } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Adjusted Graph", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Adjusted Graph", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); extractor(graph, 0); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace(clusterDb); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace(clusterDb); }; const extractor = (graph, depth) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("extractor - ", depth, dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph), graph.children("D")); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("extractor - ", depth, dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph), graph.children("D")); if (depth > 10) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("Bailing out"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("Bailing out"); return; } let nodes = graph.nodes(); @@ -25721,12 +26005,12 @@ const extractor = (graph, depth) => { hasChildren = hasChildren || children.length > 0; } if (!hasChildren) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Done, no node has children", graph.nodes()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Done, no node has children", graph.nodes()); return; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Nodes = ", nodes, depth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Nodes = ", nodes, depth); for (const node of nodes) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( "Extracting node", node, clusterDb, @@ -25738,10 +26022,10 @@ const extractor = (graph, depth) => { depth ); if (!clusterDb[node]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster", node, depth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster", node, depth); } else if (!clusterDb[node].externalConnections && // !graph.parent(node) && graph.children(node) && graph.children(node).length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster without external connections, without a parent and with children", node, depth @@ -25750,9 +26034,9 @@ const extractor = (graph, depth) => { let dir = graphSettings.rankdir === "TB" ? "LR" : "TB"; if (clusterDb[node] && clusterDb[node].clusterData && clusterDb[node].clusterData.dir) { dir = clusterDb[node].clusterData.dir; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing dir", clusterDb[node].clusterData.dir, dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing dir", clusterDb[node].clusterData.dir, dir); } - const clusterGraph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .k({ + const clusterGraph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .M({ multigraph: true, compound: true }).setGraph({ @@ -25765,7 +26049,7 @@ const extractor = (graph, depth) => { }).setDefaultEdgeLabel(function() { return {}; }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Old graph before copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Old graph before copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); copy(node, graph, clusterGraph, node); graph.setNode(node, { clusterNode: true, @@ -25774,10 +26058,10 @@ const extractor = (graph, depth) => { labelText: clusterDb[node].labelText, graph: clusterGraph }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New graph after copy node: (", node, ")", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(clusterGraph)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Old graph after copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New graph after copy node: (", node, ")", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(clusterGraph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Old graph after copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster ** ", node, " **not meeting the criteria !externalConnections:", @@ -25789,14 +26073,14 @@ const extractor = (graph, depth) => { graph.children("D"), depth ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(clusterDb); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(clusterDb); } } nodes = graph.nodes(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New list of nodes", nodes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New list of nodes", nodes); for (const node of nodes) { const data = graph.node(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn(" Now next level", node, data); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn(" Now next level", node, data); if (data.clusterNode) { extractor(data.graph, depth + 1); } @@ -25816,16 +26100,17 @@ const sorter = (graph, nodes) => { }; const sortNodesByHierarchy = (graph) => sorter(graph, graph.children()); const rect = (parent, node) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Creating subgraph rect for ", node.id, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Creating subgraph rect for ", node.id, node); + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const shapeSvg = parent.insert("g").attr("class", "cluster" + (node.class ? " " + node.class : "")).attr("id", node.id); const rect2 = shapeSvg.insert("rect", ":first-child"); - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels); + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels); const label = shapeSvg.insert("g").attr("class", "cluster-label"); - const text = node.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_5__.a)(label, node.labelText, { style: node.labelStyle, useHtmlLabels }) : label.node().appendChild((0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); + const text = node.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_5__.a)(label, node.labelText, { style: node.labelStyle, useHtmlLabels }) : label.node().appendChild((0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); let bbox = text.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -25838,26 +26123,27 @@ const rect = (parent, node) => { } else { node.diff = -node.padding / 2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Data ", node, JSON.stringify(node)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Data ", node, JSON.stringify(node)); rect2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", node.x - width / 2).attr("y", node.y - node.height / 2 - halfPadding).attr("width", width).attr("height", node.height + padding); + const { subGraphTitleTopMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); if (useHtmlLabels) { label.attr( "transform", // This puts the labal on top of the box instead of inside it - "translate(" + (node.x - bbox.width / 2) + ", " + (node.y - node.height / 2) + ")" + `translate(${node.x - bbox.width / 2}, ${node.y - node.height / 2 + subGraphTitleTopMargin})` ); } else { label.attr( "transform", // This puts the labal on top of the box instead of inside it - "translate(" + node.x + ", " + (node.y - node.height / 2) + ")" + `translate(${node.x}, ${node.y - node.height / 2 + subGraphTitleTopMargin})` ); } const rectBox = rect2.node().getBBox(); node.width = rectBox.width; node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; @@ -25871,20 +26157,21 @@ const noteGroup = (parent, node) => { node.width = rectBox.width; node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; const roundedWithTitle = (parent, node) => { + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const shapeSvg = parent.insert("g").attr("class", node.classes).attr("id", node.id); const rect2 = shapeSvg.insert("rect", ":first-child"); const label = shapeSvg.insert("g").attr("class", "cluster-label"); const innerRect = shapeSvg.append("rect"); - const text = label.node().appendChild((0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); + const text = label.node().appendChild((0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); let bbox = text.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -25900,14 +26187,15 @@ const roundedWithTitle = (parent, node) => { } rect2.attr("class", "outer").attr("x", node.x - width / 2 - halfPadding).attr("y", node.y - node.height / 2 - halfPadding).attr("width", width + padding).attr("height", node.height + padding); innerRect.attr("class", "inner").attr("x", node.x - width / 2 - halfPadding).attr("y", node.y - node.height / 2 - halfPadding + bbox.height - 1).attr("width", width + padding).attr("height", node.height + padding - bbox.height - 3); + const { subGraphTitleTopMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); label.attr( "transform", - "translate(" + (node.x - bbox.width / 2) + ", " + (node.y - node.height / 2 - node.padding / 3 + ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels) ? 5 : 3)) + ")" + `translate(${node.x - bbox.width / 2}, ${node.y - node.height / 2 - node.padding / 3 + ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels) ? 5 : 3) + subGraphTitleTopMargin})` ); const rectBox = rect2.node().getBBox(); node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; @@ -25922,32 +26210,32 @@ const divider = (parent, node) => { node.height = rectBox.height; node.diff = -node.padding / 2; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; const shapes = { rect, roundedWithTitle, noteGroup, divider }; let clusterElems = {}; const insertCluster = (elem, node) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Inserting cluster"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Inserting cluster"); const shape = node.shape || "rect"; clusterElems[node.id] = shapes[shape](elem, node); }; const clear = () => { clusterElems = {}; }; -const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph in recursive render: XXX", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph), parentCluster); +const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster, siteConfig) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph in recursive render: XXX", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph), parentCluster); const dir = graph.graph().rankdir; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Dir in recursive render - dir:", dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Dir in recursive render - dir:", dir); const elem = _elem.insert("g").attr("class", "root"); if (!graph.nodes()) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("No nodes found for", graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("No nodes found for", graph); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Recursive render XXX", graph.nodes()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Recursive render XXX", graph.nodes()); } if (graph.edges().length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Recursive edges", graph.edge(graph.edges()[0])); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Recursive edges", graph.edge(graph.edges()[0])); } const clusters = elem.insert("g").attr("class", "clusters"); const edgePaths = elem.insert("g").attr("class", "edgePaths"); @@ -25958,56 +26246,64 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => const node = graph.node(v); if (parentCluster !== void 0) { const data = JSON.parse(JSON.stringify(parentCluster.clusterData)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Setting data for cluster XXX (", v, ") ", data, parentCluster); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Setting data for cluster XXX (", v, ") ", data, parentCluster); graph.setNode(parentCluster.id, data); if (!graph.parent(v)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Setting parent", v, parentCluster.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Setting parent", v, parentCluster.id); graph.setParent(v, parentCluster.id, data); } } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("(Insert) Node XXX" + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("(Insert) Node XXX" + v + ": " + JSON.stringify(graph.node(v))); if (node && node.clusterNode) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster identified", v, node.width, graph.node(v)); - const o = await recursiveRender(nodes, node.graph, diagramtype, id, graph.node(v)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster identified", v, node.width, graph.node(v)); + const o = await recursiveRender( + nodes, + node.graph, + diagramtype, + id, + graph.node(v), + siteConfig + ); const newEl = o.elem; - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.u)(node, newEl); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.u)(node, newEl); node.diff = o.diff || 0; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node bounds (abc123)", v, node, node.width, node.x, node.y); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.s)(newEl, node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Recursive render complete ", newEl, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node bounds (abc123)", v, node, node.width, node.x, node.y); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.s)(newEl, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Recursive render complete ", newEl, node); } else { if (graph.children(v).length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster - the non recursive path XXX", v, node.id, node, graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(findNonClusterChild(node.id, graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster - the non recursive path XXX", v, node.id, node, graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(findNonClusterChild(node.id, graph)); clusterDb[node.id] = { id: findNonClusterChild(node.id, graph), node }; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node - the non recursive path", v, node.id, node); - await (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, graph.node(v), dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node - the non recursive path", v, node.id, node); + await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, graph.node(v), dir); } } }) ); graph.edges().forEach(function(e) { const edge = graph.edge(e.v, e.w, e.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": ", e, " ", JSON.stringify(graph.edge(e))); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Fix", clusterDb, "ids:", e.v, e.w, "Translateing: ", clusterDb[e.v], clusterDb[e.w]); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.f)(edgeLabels, edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": ", e, " ", JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Fix", clusterDb, "ids:", e.v, e.w, "Translateing: ", clusterDb[e.v], clusterDb[e.w]); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.f)(edgeLabels, edge); }); graph.edges().forEach(function(e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("### Layout ###"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(graph); - (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__/* .layout */ .bK)(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph after layout:", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("### Layout ###"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(graph); + (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__/* .layout */ .cn)(graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph after layout:", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); let diff = 0; + const { subGraphTitleTotalMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); sortNodesByHierarchy(graph).forEach(function(v) { const node = graph.node(v); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Position " + v + ": " + JSON.stringify(graph.node(v))); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Position " + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info( "Position " + v + ": (" + node.x, "," + node.y, ") width: ", @@ -26016,25 +26312,29 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => node.height ); if (node && node.clusterNode) { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); + node.y += subGraphTitleTotalMargin; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); } else { if (graph.children(v).length > 0) { + node.height += subGraphTitleTotalMargin; insertCluster(clusters, node); clusterDb[node.id].node = node; } else { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); + node.y += subGraphTitleTotalMargin / 2; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); } } }); graph.edges().forEach(function(e) { const edge = graph.edge(e); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(edge), edge); - const paths = (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.g)(edgePaths, e, edge, clusterDb, diagramtype, graph, id); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.h)(edge, paths); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(edge), edge); + edge.points.forEach((point) => point.y += subGraphTitleTotalMargin / 2); + const paths = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.h)(edgePaths, e, edge, clusterDb, diagramtype, graph, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.j)(edge, paths); }); graph.nodes().forEach(function(v) { const n = graph.node(v); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(v, n.type, n.diff); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(v, n.type, n.diff); if (n.type === "group") { diff = n.diff; } @@ -26042,59 +26342,36 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => return { elem, diff }; }; const render = async (elem, graph, markers, diagramtype, id) => { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.a)(elem, markers, diagramtype, id); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.b)(); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.d)(); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.a)(elem, markers, diagramtype, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.b)(); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.d)(); clear(); clear$1(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph at first:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph at first:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph))); adjustClustersAndEdges(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph after:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph))); - await recursiveRender(elem, graph, diagramtype, id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph after:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph))); + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + await recursiveRender(elem, graph, diagramtype, id, void 0, siteConfig); }; /***/ }), -/***/ 94788: +/***/ 51432: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { - -// EXPORTS -__webpack_require__.d(__webpack_exports__, { - a: () => (/* binding */ flowStyles), - f: () => (/* binding */ flowRendererV2) -}); - -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); -// EXTERNAL MODULE: ./node_modules/d3/src/index.js + 197 modules -var src = __webpack_require__(64218); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/index-0980fb80.js -var index_0980fb80 = __webpack_require__(74852); -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/dagre-js/label/add-html-label.js -var add_html_label = __webpack_require__(43349); -// EXTERNAL MODULE: ./node_modules/khroma/dist/utils/index.js + 3 modules -var utils = __webpack_require__(61691); -// EXTERNAL MODULE: ./node_modules/khroma/dist/color/index.js + 4 modules -var dist_color = __webpack_require__(71610); -;// CONCATENATED MODULE: ./node_modules/khroma/dist/methods/channel.js -/* IMPORT */ - - -/* MAIN */ -const channel = (color, channel) => { - return utils/* default */.Z.lang.round(dist_color/* default */.Z.parse(color)[channel]); -}; -/* EXPORT */ -/* harmony default export */ const methods_channel = (channel); - -// EXTERNAL MODULE: ./node_modules/khroma/dist/methods/rgba.js -var rgba = __webpack_require__(51117); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/styles-b39df0e1.js +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ a: () => (/* binding */ flowStyles), +/* harmony export */ f: () => (/* binding */ flowRendererV2) +/* harmony export */ }); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(95536); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(37352); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(79010); +/* harmony import */ var _index_8fae9850_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(37024); +/* harmony import */ var dagre_d3_es_src_dagre_js_label_add_html_label_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(53128); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(21048); +/* harmony import */ var khroma__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(19837); @@ -26118,26 +26395,26 @@ const addVertices = function(vert, g, svgId, root, doc, diagObj) { classStr = vertex.classes.join(" "); } classStr = classStr + " flowchart-label"; - const styles = (0,mermaid_04fb0060.k)(vertex.styles); + const styles = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.k)(vertex.styles); let vertexText = vertex.text !== void 0 ? vertex.text : vertex.id; let vertexNode; - mermaid_04fb0060.l.info("vertex", vertex, vertex.labelType); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("vertex", vertex, vertex.labelType); if (vertex.labelType === "markdown") { - mermaid_04fb0060.l.info("vertex", vertex, vertex.labelType); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("vertex", vertex, vertex.labelType); } else { - if ((0,mermaid_04fb0060.m)((0,mermaid_04fb0060.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.c)().flowchart.htmlLabels)) { const node = { label: vertexText.replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ) }; - vertexNode = (0,add_html_label/* addHtmlLabel */.a)(svg, node).node(); + vertexNode = (0,dagre_d3_es_src_dagre_js_label_add_html_label_js__WEBPACK_IMPORTED_MODULE_3__/* .addHtmlLabel */ .m)(svg, node).node(); vertexNode.parentNode.removeChild(vertexNode); } else { const svgLabel = doc.createElementNS("http://www.w3.org/2000/svg", "text"); svgLabel.setAttribute("style", styles.labelStyle.replace("color:", "fill:")); - const rows = vertexText.split(mermaid_04fb0060.e.lineBreakRegex); + const rows = vertexText.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.e.lineBreakRegex); for (const row of rows) { const tspan = doc.createElementNS("http://www.w3.org/2000/svg", "tspan"); tspan.setAttributeNS("http://www.w3.org/XML/1998/namespace", "xml:space", "preserve"); @@ -26226,9 +26503,9 @@ const addVertices = function(vert, g, svgId, root, doc, diagObj) { dir: vertex.dir, type: vertex.type, props: vertex.props, - padding: (0,mermaid_04fb0060.c)().flowchart.padding + padding: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.c)().flowchart.padding }); - mermaid_04fb0060.l.info("setNode", { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("setNode", { labelStyle: styles.labelStyle, labelType: vertex.labelType, shape: _shape, @@ -26243,18 +26520,18 @@ const addVertices = function(vert, g, svgId, root, doc, diagObj) { type: vertex.type, dir: vertex.dir, props: vertex.props, - padding: (0,mermaid_04fb0060.c)().flowchart.padding + padding: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.c)().flowchart.padding }); }); }; const addEdges = function(edges, g, diagObj) { - mermaid_04fb0060.l.info("abc78 edges = ", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("abc78 edges = ", edges); let cnt = 0; let linkIdCnt = {}; let defaultStyle; let defaultLabelStyle; if (edges.defaultStyle !== void 0) { - const defaultStyles = (0,mermaid_04fb0060.k)(edges.defaultStyle); + const defaultStyles = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.k)(edges.defaultStyle); defaultStyle = defaultStyles.style; defaultLabelStyle = defaultStyles.labelStyle; } @@ -26263,13 +26540,13 @@ const addEdges = function(edges, g, diagObj) { const linkIdBase = "L-" + edge.start + "-" + edge.end; if (linkIdCnt[linkIdBase] === void 0) { linkIdCnt[linkIdBase] = 0; - mermaid_04fb0060.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); } else { linkIdCnt[linkIdBase]++; - mermaid_04fb0060.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("abc78 new entry", linkIdBase, linkIdCnt[linkIdBase]); } let linkId = linkIdBase + "-" + linkIdCnt[linkIdBase]; - mermaid_04fb0060.l.info("abc78 new link id to be used is", linkIdBase, linkId, linkIdCnt[linkIdBase]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("abc78 new link id to be used is", linkIdBase, linkId, linkIdCnt[linkIdBase]); const linkNameStart = "LS-" + edge.start; const linkNameEnd = "LE-" + edge.end; const edgeData = { style: "", labelStyle: "" }; @@ -26329,18 +26606,18 @@ const addEdges = function(edges, g, diagObj) { break; } if (edge.style !== void 0) { - const styles = (0,mermaid_04fb0060.k)(edge.style); + const styles = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.k)(edge.style); style = styles.style; labelStyle = styles.labelStyle; } edgeData.style = edgeData.style += style; edgeData.labelStyle = edgeData.labelStyle += labelStyle; if (edge.interpolate !== void 0) { - edgeData.curve = (0,mermaid_04fb0060.n)(edge.interpolate, src/* curveLinear */.c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.n)(edge.interpolate, d3__WEBPACK_IMPORTED_MODULE_1__/* .curveLinear */ .qGi); } else if (edges.defaultInterpolate !== void 0) { - edgeData.curve = (0,mermaid_04fb0060.n)(edges.defaultInterpolate, src/* curveLinear */.c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.n)(edges.defaultInterpolate, d3__WEBPACK_IMPORTED_MODULE_1__/* .curveLinear */ .qGi); } else { - edgeData.curve = (0,mermaid_04fb0060.n)(conf.curve, src/* curveLinear */.c_6); + edgeData.curve = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.n)(conf.curve, d3__WEBPACK_IMPORTED_MODULE_1__/* .curveLinear */ .qGi); } if (edge.text === void 0) { if (edge.style !== void 0) { @@ -26351,7 +26628,7 @@ const addEdges = function(edges, g, diagObj) { edgeData.labelpos = "c"; } edgeData.labelType = edge.labelType; - edgeData.label = edge.text.replace(mermaid_04fb0060.e.lineBreakRegex, "\n"); + edgeData.label = edge.text.replace(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.e.lineBreakRegex, "\n"); if (edge.style === void 0) { edgeData.style = edgeData.style || "stroke: #333; stroke-width: 1.5px;fill:none;"; } @@ -26365,21 +26642,21 @@ const getClasses = function(text, diagObj) { return diagObj.db.getClasses(); }; const draw = async function(text, id, _version, diagObj) { - mermaid_04fb0060.l.info("Drawing flowchart"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Drawing flowchart"); let dir = diagObj.db.getDirection(); if (dir === void 0) { dir = "TD"; } - const { securityLevel, flowchart: conf2 } = (0,mermaid_04fb0060.c)(); + const { securityLevel, flowchart: conf2 } = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.c)(); const nodeSpacing = conf2.nodeSpacing || 50; const rankSpacing = conf2.rankSpacing || 50; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,src/* select */.Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,src/* select */.Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,src/* select */.Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("body"); const doc = securityLevel === "sandbox" ? sandboxElement.nodes()[0].contentDocument : document; - const g = new graphlib/* Graph */.k({ + const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__/* .Graph */ .M({ multigraph: true, compound: true }).setGraph({ @@ -26393,10 +26670,10 @@ const draw = async function(text, id, _version, diagObj) { }); let subG; const subGraphs = diagObj.db.getSubGraphs(); - mermaid_04fb0060.l.info("Subgraphs - ", subGraphs); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Subgraphs - ", subGraphs); for (let i2 = subGraphs.length - 1; i2 >= 0; i2--) { subG = subGraphs[i2]; - mermaid_04fb0060.l.info("Subgraph - ", subG); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Subgraph - ", subG); diagObj.db.addVertex( subG.id, { text: subG.title, type: subG.labelType }, @@ -26408,13 +26685,13 @@ const draw = async function(text, id, _version, diagObj) { } const vert = diagObj.db.getVertices(); const edges = diagObj.db.getEdges(); - mermaid_04fb0060.l.info("Edges", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Edges", edges); let i = 0; for (i = subGraphs.length - 1; i >= 0; i--) { subG = subGraphs[i]; - (0,src/* selectAll */.td_)("cluster").append("text"); + (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .selectAll */ .COP)("cluster").append("text"); for (let j = 0; j < subG.nodes.length; j++) { - mermaid_04fb0060.l.info("Setting up subgraphs", subG.nodes[j], subG.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.l.info("Setting up subgraphs", subG.nodes[j], subG.id); g.setParent(subG.nodes[j], subG.id); } } @@ -26422,9 +26699,9 @@ const draw = async function(text, id, _version, diagObj) { addEdges(edges, g); const svg = root.select(`[id="${id}"]`); const element = root.select("#" + id + " g"); - await (0,index_0980fb80.r)(element, g, ["point", "circle", "cross"], "flowchart", id); - mermaid_04fb0060.u.insertTitle(svg, "flowchartTitleText", conf2.titleTopMargin, diagObj.db.getDiagramTitle()); - (0,mermaid_04fb0060.o)(g, svg, conf2.diagramPadding, conf2.useMaxWidth); + await (0,_index_8fae9850_js__WEBPACK_IMPORTED_MODULE_4__.r)(element, g, ["point", "circle", "cross"], "flowchart", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.u.insertTitle(svg, "flowchartTitleText", conf2.titleTopMargin, diagObj.db.getDiagramTitle()); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_2__.o)(g, svg, conf2.diagramPadding, conf2.useMaxWidth); diagObj.db.indexNodes("subGraph" + i); if (!conf2.htmlLabels) { const labels = doc.querySelectorAll('[id="' + id + '"] .edgeLabel .label'); @@ -26442,7 +26719,7 @@ const draw = async function(text, id, _version, diagObj) { keys.forEach(function(key) { const vertex = vert[key]; if (vertex.link) { - const node = (0,src/* select */.Ys)("#" + id + ' [id="' + key + '"]'); + const node = (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("#" + id + ' [id="' + key + '"]'); if (node) { const link = doc.createElementNS("http://www.w3.org/2000/svg", "a"); link.setAttributeNS("http://www.w3.org/2000/svg", "class", vertex.classes.join(" ")); @@ -26480,11 +26757,11 @@ const flowRendererV2 = { draw }; const fade = (color, opacity) => { - const channel = methods_channel; + const channel = khroma__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c; const r = channel(color, "r"); const g = channel(color, "g"); const b = channel(color, "b"); - return rgba/* default */.Z(r, g, b, opacity); + return khroma__WEBPACK_IMPORTED_MODULE_6__/* ["default"] */ .c(r, g, b, opacity); }; const getStyles = (options) => `.label { font-family: ${options.fontFamily}; diff --git a/assets/js/7344.f9669564.js b/assets/js/7344.f9669564.js new file mode 100644 index 000000000..bf8d723d8 --- /dev/null +++ b/assets/js/7344.f9669564.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[7344],{27344:(t,e,a)=>{a.d(e,{diagram:()=>X});var r=a(79010),s=a(37352),i=a(30291),n=a(86208),o=(a(62264),a(24300),function(){var t=function(t,e,a,r){for(a=a||{},r=t.length;r--;a[t[r]]=e);return 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a=new Error(t);throw a.hash=e,a}this.trace(t)},parse:function(t){var e=this,a=[0],r=[],s=[null],i=[],n=this.table,o="",c=0,l=0,d=i.slice.call(arguments,1),h=Object.create(this.lexer),p={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(p.yy[g]=this.yy[g]);h.setInput(t,p.yy),p.yy.lexer=h,p.yy.parser=this,void 0===h.yylloc&&(h.yylloc={});var u=h.yylloc;i.push(u);var x=h.options&&h.options.ranges;"function"==typeof p.yy.parseError?this.parseError=p.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var y,m,b,f,T,E,w,P,_,k={};;){if(m=a[a.length-1],this.defaultActions[m]?b=this.defaultActions[m]:(null==y&&(_=void 0,"number"!=typeof(_=r.pop()||h.lex()||1)&&(_ instanceof Array&&(_=(r=_).pop()),_=e.symbols_[_]||_),y=_),b=n[m]&&n[m][y]),void 0===b||!b.length||!b[0]){var L="";for(T in P=[],n[m])this.terminals_[T]&&T>2&&P.push("'"+this.terminals_[T]+"'");L=h.showPosition?"Parse error on line "+(c+1)+":\n"+h.showPosition()+"\nExpecting "+P.join(", ")+", got '"+(this.terminals_[y]||y)+"'":"Parse error on line "+(c+1)+": Unexpected "+(1==y?"end of input":"'"+(this.terminals_[y]||y)+"'"),this.parseError(L,{text:h.match,token:this.terminals_[y]||y,line:h.yylineno,loc:u,expected:P})}if(b[0]instanceof Array&&b.length>1)throw new Error("Parse Error: multiple actions possible at state: "+m+", token: "+y);switch(b[0]){case 1:a.push(y),s.push(h.yytext),i.push(h.yylloc),a.push(b[1]),y=null,l=h.yyleng,o=h.yytext,c=h.yylineno,u=h.yylloc;break;case 2:if(E=this.productions_[b[1]][1],k.$=s[s.length-E],k._$={first_line:i[i.length-(E||1)].first_line,last_line:i[i.length-1].last_line,first_column:i[i.length-(E||1)].first_column,last_column:i[i.length-1].last_column},x&&(k._$.range=[i[i.length-(E||1)].range[0],i[i.length-1].range[1]]),void 0!==(f=this.performAction.apply(k,[o,l,c,p.yy,b[1],s,i].concat(d))))return f;E&&(a=a.slice(0,-1*E*2),s=s.slice(0,-1*E),i=i.slice(0,-1*E)),a.push(this.productions_[b[1]][0]),s.push(k.$),i.push(k._$),w=n[a[a.length-2]][a[a.length-1]],a.push(w);break;case 3:return!0}}return!0}},W={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,a=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),a.length-1&&(this.yylineno-=a.length-1);var s=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:a?(a.length===r.length?this.yylloc.first_column:0)+r[r.length-a.length].length-a[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[s[0],s[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var a,r,s;if(this.options.backtrack_lexer&&(s={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(s.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],a=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),a)return a;if(this._backtrack){for(var i in s)this[i]=s[i];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,a,r;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var s=this._currentRules(),i=0;ie[0].length)){if(e=a,r=i,this.options.backtrack_lexer){if(!1!==(t=this.test_match(a,s[i])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,s[r]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,a,r){switch(a){case 0:case 51:case 64:return 5;case 1:case 2:case 3:case 4:case 5:break;case 6:return 19;case 7:return this.begin("LINE"),14;case 8:return this.begin("ID"),50;case 9:return this.begin("ID"),52;case 10:return 13;case 11:return this.begin("ID"),53;case 12:return e.yytext=e.yytext.trim(),this.begin("ALIAS"),70;case 13:return this.popState(),this.popState(),this.begin("LINE"),51;case 14:return this.popState(),this.popState(),5;case 15:return this.begin("LINE"),36;case 16:return this.begin("LINE"),37;case 17:return this.begin("LINE"),38;case 18:return this.begin("LINE"),39;case 19:return this.begin("LINE"),49;case 20:return this.begin("LINE"),41;case 21:return this.begin("LINE"),43;case 22:return this.begin("LINE"),48;case 23:return this.begin("LINE"),44;case 24:return this.begin("LINE"),47;case 25:return this.begin("LINE"),46;case 26:return this.popState(),15;case 27:return 16;case 28:return 65;case 29:return 66;case 30:return 59;case 31:return 60;case 32:return 61;case 33:return 62;case 34:return 57;case 35:return 54;case 36:return this.begin("ID"),21;case 37:return this.begin("ID"),23;case 38:return 29;case 39:return 30;case 40:return this.begin("acc_title"),31;case 41:return this.popState(),"acc_title_value";case 42:return this.begin("acc_descr"),33;case 43:return this.popState(),"acc_descr_value";case 44:this.begin("acc_descr_multiline");break;case 45:this.popState();break;case 46:return"acc_descr_multiline_value";case 47:return 6;case 48:return 18;case 49:return 20;case 50:return 64;case 52:return e.yytext=e.yytext.trim(),70;case 53:return 73;case 54:return 74;case 55:return 71;case 56:return 72;case 57:return 75;case 58:return 76;case 59:return 77;case 60:return 78;case 61:return 79;case 62:return 68;case 63:return 69;case 65:return"INVALID"}},rules:[/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:((?!\n)\s)+)/i,/^(?:#[^\n]*)/i,/^(?:%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[0-9]+(?=[ \n]+))/i,/^(?:box\b)/i,/^(?:participant\b)/i,/^(?:actor\b)/i,/^(?:create\b)/i,/^(?:destroy\b)/i,/^(?:[^\->:\n,;]+?([\-]*[^\->:\n,;]+?)*?(?=((?!\n)\s)+as(?!\n)\s|[#\n;]|$))/i,/^(?:as\b)/i,/^(?:(?:))/i,/^(?:loop\b)/i,/^(?:rect\b)/i,/^(?:opt\b)/i,/^(?:alt\b)/i,/^(?:else\b)/i,/^(?:par\b)/i,/^(?:par_over\b)/i,/^(?:and\b)/i,/^(?:critical\b)/i,/^(?:option\b)/i,/^(?:break\b)/i,/^(?:(?:[:]?(?:no)?wrap)?[^#\n;]*)/i,/^(?:end\b)/i,/^(?:left of\b)/i,/^(?:right of\b)/i,/^(?:links\b)/i,/^(?:link\b)/i,/^(?:properties\b)/i,/^(?:details\b)/i,/^(?:over\b)/i,/^(?:note\b)/i,/^(?:activate\b)/i,/^(?:deactivate\b)/i,/^(?:title\s[^#\n;]+)/i,/^(?:title:\s[^#\n;]+)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:sequenceDiagram\b)/i,/^(?:autonumber\b)/i,/^(?:off\b)/i,/^(?:,)/i,/^(?:;)/i,/^(?:[^\+\->:\n,;]+((?!(-x|--x|-\)|--\)))[\-]*[^\+\->:\n,;]+)*)/i,/^(?:->>)/i,/^(?:-->>)/i,/^(?:->)/i,/^(?:-->)/i,/^(?:-[x])/i,/^(?:--[x])/i,/^(?:-[\)])/i,/^(?:--[\)])/i,/^(?::(?:(?:no)?wrap)?[^#\n;]+)/i,/^(?:\+)/i,/^(?:-)/i,/^(?:$)/i,/^(?:.)/i],conditions:{acc_descr_multiline:{rules:[45,46],inclusive:!1},acc_descr:{rules:[43],inclusive:!1},acc_title:{rules:[41],inclusive:!1},ID:{rules:[2,3,12],inclusive:!1},ALIAS:{rules:[2,3,13,14],inclusive:!1},LINE:{rules:[2,3,26],inclusive:!1},INITIAL:{rules:[0,1,3,4,5,6,7,8,9,10,11,15,16,17,18,19,20,21,22,23,24,25,27,28,29,30,31,32,33,34,35,36,37,38,39,40,42,44,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65],inclusive:!0}}};function z(){this.yy={}}return q.lexer=W,z.prototype=q,q.Parser=z,new z}());o.parser=o;const c=o;const l=new class{constructor(t){this.init=t,this.records=this.init()}reset(){this.records=this.init()}}((()=>({prevActor:void 0,actors:{},createdActors:{},destroyedActors:{},boxes:[],messages:[],notes:[],sequenceNumbersEnabled:!1,wrapEnabled:void 0,currentBox:void 0,lastCreated:void 0,lastDestroyed:void 0}))),d=function(t,e,a,r){let s=l.records.currentBox;const i=l.records.actors[t];if(i){if(l.records.currentBox&&i.box&&l.records.currentBox!==i.box)throw new Error("A same participant should only be defined in one Box: "+i.name+" can't be in '"+i.box.name+"' and in '"+l.records.currentBox.name+"' at the same time.");if(s=i.box?i.box:l.records.currentBox,i.box=s,i&&e===i.name&&null==a)return}null!=a&&null!=a.text||(a={text:e,wrap:null,type:r}),null!=r&&null!=a.text||(a={text:e,wrap:null,type:r}),l.records.actors[t]={box:s,name:e,description:a.text,wrap:void 0===a.wrap&&g()||!!a.wrap,prevActor:l.records.prevActor,links:{},properties:{},actorCnt:null,rectData:null,type:r||"participant"},l.records.prevActor&&l.records.actors[l.records.prevActor]&&(l.records.actors[l.records.prevActor].nextActor=t),l.records.currentBox&&l.records.currentBox.actorKeys.push(t),l.records.prevActor=t},h=function(t,e,a={text:void 0,wrap:void 0},r,s=!1){if(r===u.ACTIVE_END){if((t=>{let e,a=0;for(e=0;e>-",token:"->>-",line:"1",loc:{first_line:1,last_line:1,first_column:1,last_column:1},expected:["'ACTIVE_PARTICIPANT'"]},e}}return l.records.messages.push({from:t,to:e,message:a.text,wrap:void 0===a.wrap&&g()||!!a.wrap,type:r,activate:s}),!0},p=function(t){return l.records.actors[t]},g=()=>void 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e)t.links[a]=e[a]}const b=function(t,e){const a=p(t);try{let t=(0,r.d)(e.text,(0,r.c)());f(a,JSON.parse(t))}catch(s){r.l.error("error while parsing actor properties text",s)}};function f(t,e){if(null==t.properties)t.properties=e;else for(let a in e)t.properties[a]=e[a]}const T=function(t,e){const a=p(t),s=document.getElementById(e.text);try{const t=s.innerHTML,e=JSON.parse(t);e.properties&&f(a,e.properties),e.links&&m(a,e.links)}catch(i){r.l.error("error while parsing actor details text",i)}},E=function(t){if(Array.isArray(t))t.forEach((function(t){E(t)}));else switch(t.type){case"sequenceIndex":l.records.messages.push({from:void 0,to:void 0,message:{start:t.sequenceIndex,step:t.sequenceIndexStep,visible:t.sequenceVisible},wrap:!1,type:t.signalType});break;case"addParticipant":d(t.actor,t.actor,t.description,t.draw);break;case"createParticipant":if(l.records.actors[t.actor])throw new Error("It is not possible to have actors with the same id, even if one is destroyed before the next is created. Use 'AS' aliases to simulate the behavior");l.records.lastCreated=t.actor,d(t.actor,t.actor,t.description,t.draw),l.records.createdActors[t.actor]=l.records.messages.length;break;case"destroyParticipant":l.records.lastDestroyed=t.actor,l.records.destroyedActors[t.actor]=l.records.messages.length;break;case"activeStart":case"activeEnd":h(t.actor,void 0,void 0,t.signalType);break;case"addNote":x(t.actor,t.placement,t.text);break;case"addLinks":y(t.actor,t.text);break;case"addALink":!function(t,e){const a=p(t);try{const t={};let o=(0,r.d)(e.text,(0,r.c)());var s=o.indexOf("@");o=o.replace(/&/g,"&"),o=o.replace(/=/g,"=");var i=o.slice(0,s-1).trim(),n=o.slice(s+1).trim();t[i]=n,m(a,t)}catch(o){r.l.error("error while parsing actor link text",o)}}(t.actor,t.text);break;case"addProperties":b(t.actor,t.text);break;case"addDetails":T(t.actor,t.text);break;case"addMessage":if(l.records.lastCreated){if(t.to!==l.records.lastCreated)throw new Error("The created participant "+l.records.lastCreated+" does not have an associated creating message after its declaration. 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0,t.optionText,t.signalType);break;case"breakStart":h(void 0,void 0,t.breakText,t.signalType)}var e},w={addActor:d,addMessage:function(t,e,a,r){l.records.messages.push({from:t,to:e,message:a.text,wrap:void 0===a.wrap&&g()||!!a.wrap,answer:r})},addSignal:h,addLinks:y,addDetails:T,addProperties:b,autoWrap:g,setWrap:function(t){l.records.wrapEnabled=t},enableSequenceNumbers:function(){l.records.sequenceNumbersEnabled=!0},disableSequenceNumbers:function(){l.records.sequenceNumbersEnabled=!1},showSequenceNumbers:()=>l.records.sequenceNumbersEnabled,getMessages:function(){return l.records.messages},getActors:function(){return l.records.actors},getCreatedActors:function(){return l.records.createdActors},getDestroyedActors:function(){return l.records.destroyedActors},getActor:p,getActorKeys:function(){return Object.keys(l.records.actors)},getActorProperty:function(t,e){if(void 0!==t&&void 0!==t.properties)return t.properties[e]},getAccTitle:r.g,getBoxes:function(){return 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t.placement===a.db.PLACEMENT.RIGHTOF?(c.width=n?r.e.getMax(C.width,o.width):r.e.getMax(e[t.from].width/2+e[t.to].width/2,o.width+2*C.noteMargin),c.startx=s+(e[t.from].width+C.actorMargin)/2):t.placement===a.db.PLACEMENT.LEFTOF?(c.width=n?r.e.getMax(C.width,o.width+2*C.noteMargin):r.e.getMax(e[t.from].width/2+e[t.to].width/2,o.width+2*C.noteMargin),c.startx=s-c.width+(e[t.from].width-C.actorMargin)/2):t.to===t.from?(o=r.u.calculateTextDimensions(n?r.u.wrapLabel(t.message,r.e.getMax(C.width,e[t.from].width),B(C)):t.message,B(C)),c.width=n?r.e.getMax(C.width,e[t.from].width):r.e.getMax(e[t.from].width,C.width,o.width+2*C.noteMargin),c.startx=s+(e[t.from].width-c.width)/2):(c.width=Math.abs(s+e[t.from].width/2-(i+e[t.to].width/2))+C.actorMargin,c.startx=s{o=t,o.from=r.e.getMin(o.from,c.startx),o.to=r.e.getMax(o.to,c.startx+c.width),o.width=r.e.getMax(o.width,Math.abs(o.from-o.to))-C.labelBoxWidth}))):(l=function(t,e,a){if(![a.db.LINETYPE.SOLID_OPEN,a.db.LINETYPE.DOTTED_OPEN,a.db.LINETYPE.SOLID,a.db.LINETYPE.DOTTED,a.db.LINETYPE.SOLID_CROSS,a.db.LINETYPE.DOTTED_CROSS,a.db.LINETYPE.SOLID_POINT,a.db.LINETYPE.DOTTED_POINT].includes(t.type))return{};const[s,i]=H(t.from,e),[n,o]=H(t.to,e),c=s<=n,l=c?i:s;let 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o.from=r.e.getMin(l.startx,o.from),o.to=r.e.getMax(l.stopx,o.to),o.width=r.e.getMax(o.width,l.width)-C.labelBoxWidth})))})),$.activations=[],r.l.debug("Loop type widths:",i),i},X={parser:c,db:w,renderer:{bounds:$,drawActors:F,drawActorsPopup:q,setConf:W,draw:function(t,e,a,n){const{securityLevel:o,sequence:c}=(0,r.c)();let l;C=c,"sandbox"===o&&(l=(0,s.MlD)("#i"+e));const d="sandbox"===o?(0,s.MlD)(l.nodes()[0].contentDocument.body):(0,s.MlD)("body"),h="sandbox"===o?l.nodes()[0].contentDocument:document;$.init(),r.l.debug(n.db);const p="sandbox"===o?d.select(`[id="${e}"]`):(0,s.MlD)(`[id="${e}"]`),g=n.db.getActors(),u=n.db.getCreatedActors(),x=n.db.getDestroyedActors(),y=n.db.getBoxes();let m=n.db.getActorKeys();const b=n.db.getMessages(),f=n.db.getDiagramTitle(),T=n.db.hasAtLeastOneBox(),E=n.db.hasAtLeastOneBoxWithTitle(),w=function(t,e,a){const s={};return e.forEach((function(e){if(t[e.to]&&t[e.from]){const i=t[e.to];if(e.placement===a.db.PLACEMENT.LEFTOF&&!i.prevActor)return;if(e.placement===a.db.PLACEMENT.RIGHTOF&&!i.nextActor)return;const n=void 0!==e.placement,o=!n,c=n?B(C):Y(C),l=e.wrap?r.u.wrapLabel(e.message,C.width-2*C.wrapPadding,c):e.message,d=r.u.calculateTextDimensions(l,c).width+2*C.wrapPadding;o&&e.from===i.nextActor?s[e.to]=r.e.getMax(s[e.to]||0,d):o&&e.from===i.prevActor?s[e.from]=r.e.getMax(s[e.from]||0,d):o&&e.from===e.to?(s[e.from]=r.e.getMax(s[e.from]||0,d/2),s[e.to]=r.e.getMax(s[e.to]||0,d/2)):e.placement===a.db.PLACEMENT.RIGHTOF?s[e.from]=r.e.getMax(s[e.from]||0,d):e.placement===a.db.PLACEMENT.LEFTOF?s[i.prevActor]=r.e.getMax(s[i.prevActor]||0,d):e.placement===a.db.PLACEMENT.OVER&&(i.prevActor&&(s[i.prevActor]=r.e.getMax(s[i.prevActor]||0,d/2)),i.nextActor&&(s[e.from]=r.e.getMax(s[e.from]||0,d/2)))}})),r.l.debug("maxMessageWidthPerActor:",s),s}(g,b,n);if(C.height=function(t,e,a){let s=0;Object.keys(t).forEach((e=>{const a=t[e];a.wrap&&(a.description=r.u.wrapLabel(a.description,C.width-2*C.wrapPadding,V(C)));const i=r.u.calculateTextDimensions(a.description,V(C));a.width=a.wrap?C.width:r.e.getMax(C.width,i.width+2*C.wrapPadding),a.height=a.wrap?r.e.getMax(i.height,C.height):C.height,s=r.e.getMax(s,a.height)}));for(const n in e){const a=t[n];if(!a)continue;const s=t[a.nextActor];if(!s){const t=e[n]+C.actorMargin-a.width/2;a.margin=r.e.getMax(t,C.actorMargin);continue}const i=e[n]+C.actorMargin-a.width/2-s.width/2;a.margin=r.e.getMax(i,C.actorMargin)}let i=0;return a.forEach((e=>{const a=Y(C);let s=e.actorKeys.reduce(((e,a)=>e+(t[a].width+(t[a].margin||0))),0);s-=2*C.boxTextMargin,e.wrap&&(e.name=r.u.wrapLabel(e.name,s-2*C.wrapPadding,a));const n=r.u.calculateTextDimensions(e.name,a);i=r.e.getMax(n.height,i);const o=r.e.getMax(s,n.width+2*C.wrapPadding);if(e.margin=C.boxTextMargin,st.textMaxHeight=i)),r.e.getMax(s,C.height)}(g,w,y),R.insertComputerIcon(p),R.insertDatabaseIcon(p),R.insertClockIcon(p),T&&($.bumpVerticalPos(C.boxMargin),E&&$.bumpVerticalPos(y[0].textMaxHeight)),!0===C.hideUnusedParticipants){const t=new Set;b.forEach((e=>{t.add(e.from),t.add(e.to)})),m=m.filter((e=>t.has(e)))}!function(t,e,a,s,i,n,o){let c,l=0,d=0,h=0;for(const p of s){const t=e[p],s=t.box;c&&c!=s&&(o||$.models.addBox(c),d+=C.boxMargin+c.margin),s&&s!=c&&(o||(s.x=l+d,s.y=i),d+=s.margin),t.width=t.width||C.width,t.height=r.e.getMax(t.height||C.height,C.height),t.margin=t.margin||C.actorMargin,h=r.e.getMax(h,t.height),a[t.name]&&(d+=t.width/2),t.x=l+d,t.starty=$.getVerticalPos(),$.insert(t.x,i,t.x+t.width,t.height),l+=t.width+d,t.box&&(t.box.width=l+s.margin-t.box.x),d=t.margin,c=t.box,$.models.addActor(t)}c&&!o&&$.models.addBox(c),$.bumpVerticalPos(h)}(0,g,u,m,0,0,!1);const P=K(b,g,w,n);R.insertArrowHead(p),R.insertArrowCrossHead(p),R.insertArrowFilledHead(p),R.insertSequenceNumber(p);let _=1,k=1;const L=[],I=[];b.forEach((function(t,e){let a,s,o;switch(t.type){case n.db.LINETYPE.NOTE:$.resetVerticalPos(),s=t.noteModel,function(t,e){$.bumpVerticalPos(C.boxMargin),e.height=C.boxMargin,e.starty=$.getVerticalPos();const a=(0,i.g)();a.x=e.startx,a.y=e.starty,a.width=e.width||C.width,a.class="note";const r=t.append("g"),s=R.drawRect(r,a),n=(0,i.e)();n.x=e.startx,n.y=e.starty,n.width=a.width,n.dy="1em",n.text=e.message,n.class="noteText",n.fontFamily=C.noteFontFamily,n.fontSize=C.noteFontSize,n.fontWeight=C.noteFontWeight,n.anchor=C.noteAlign,n.textMargin=C.noteMargin,n.valign="center";const 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n.db.LINETYPE.RECT_END:a=$.endLoop(),I.push(a),$.models.addLoop(a),$.bumpVerticalPos(a.stopy-$.getVerticalPos());break;case n.db.LINETYPE.OPT_START:U(P,t,C.boxMargin,C.boxMargin+C.boxTextMargin,(t=>$.newLoop(t)));break;case n.db.LINETYPE.OPT_END:a=$.endLoop(),R.drawLoop(p,a,"opt",C),$.bumpVerticalPos(a.stopy-$.getVerticalPos()),$.models.addLoop(a);break;case n.db.LINETYPE.ALT_START:U(P,t,C.boxMargin,C.boxMargin+C.boxTextMargin,(t=>$.newLoop(t)));break;case n.db.LINETYPE.ALT_ELSE:U(P,t,C.boxMargin+C.boxTextMargin,C.boxMargin,(t=>$.addSectionToLoop(t)));break;case n.db.LINETYPE.ALT_END:a=$.endLoop(),R.drawLoop(p,a,"alt",C),$.bumpVerticalPos(a.stopy-$.getVerticalPos()),$.models.addLoop(a);break;case n.db.LINETYPE.PAR_START:case n.db.LINETYPE.PAR_OVER_START:U(P,t,C.boxMargin,C.boxMargin+C.boxTextMargin,(t=>$.newLoop(t))),$.saveVerticalPos();break;case n.db.LINETYPE.PAR_AND:U(P,t,C.boxMargin+C.boxTextMargin,C.boxMargin,(t=>$.addSectionToLoop(t)));break;case n.db.LINETYPE.PAR_END:a=$.endLoop(),R.drawLoop(p,a,"par",C),$.bumpVerticalPos(a.stopy-$.getVerticalPos()),$.models.addLoop(a);break;case n.db.LINETYPE.AUTONUMBER:_=t.message.start||_,k=t.message.step||k,t.message.visible?n.db.enableSequenceNumbers():n.db.disableSequenceNumbers();break;case n.db.LINETYPE.CRITICAL_START:U(P,t,C.boxMargin,C.boxMargin+C.boxTextMargin,(t=>$.newLoop(t)));break;case n.db.LINETYPE.CRITICAL_OPTION:U(P,t,C.boxMargin+C.boxTextMargin,C.boxMargin,(t=>$.addSectionToLoop(t)));break;case n.db.LINETYPE.CRITICAL_END:a=$.endLoop(),R.drawLoop(p,a,"critical",C),$.bumpVerticalPos(a.stopy-$.getVerticalPos()),$.models.addLoop(a);break;case n.db.LINETYPE.BREAK_START:U(P,t,C.boxMargin,C.boxMargin+C.boxTextMargin,(t=>$.newLoop(t)));break;case 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75:i.commit(n[s-4],"",n[s-2],n[s]);break;case 76:i.commit(n[s-4],"",n[s],n[s-2]);break;case 77:i.commit(n[s-2],"",n[s-4],n[s]);break;case 78:i.commit(n[s],"",n[s-4],n[s-2]);break;case 79:i.commit(n[s],"",n[s-2],n[s-4]);break;case 80:i.commit(n[s-2],"",n[s],n[s-4]);break;case 81:i.commit(n[s-4],n[s],n[s-2],"");break;case 82:i.commit(n[s-4],n[s-2],n[s],"");break;case 83:i.commit(n[s-2],n[s],n[s-4],"");break;case 84:i.commit(n[s],n[s-2],n[s-4],"");break;case 85:i.commit(n[s],n[s-4],n[s-2],"");break;case 86:i.commit(n[s-2],n[s-4],n[s],"");break;case 87:i.commit(n[s-4],n[s],i.commitType.NORMAL,n[s-2]);break;case 88:i.commit(n[s-4],n[s-2],i.commitType.NORMAL,n[s]);break;case 89:i.commit(n[s-2],n[s],i.commitType.NORMAL,n[s-4]);break;case 90:i.commit(n[s],n[s-2],i.commitType.NORMAL,n[s-4]);break;case 91:i.commit(n[s],n[s-4],i.commitType.NORMAL,n[s-2]);break;case 92:i.commit(n[s-2],n[s-4],i.commitType.NORMAL,n[s]);break;case 93:i.commit(n[s-6],n[s-4],n[s-2],n[s]);break;case 94:i.commit(n[s-6],n[s-4],n[s],n[s-2]);break;case 95:i.commit(n[s-6],n[s-2],n[s-4],n[s]);break;case 96:i.commit(n[s-6],n[s],n[s-4],n[s-2]);break;case 97:i.commit(n[s-6],n[s-2],n[s],n[s-4]);break;case 98:i.commit(n[s-6],n[s],n[s-2],n[s-4]);break;case 99:i.commit(n[s-4],n[s-6],n[s-2],n[s]);break;case 100:i.commit(n[s-4],n[s-6],n[s],n[s-2]);break;case 101:i.commit(n[s-2],n[s-6],n[s-4],n[s]);break;case 102:i.commit(n[s],n[s-6],n[s-4],n[s-2]);break;case 103:i.commit(n[s-2],n[s-6],n[s],n[s-4]);break;case 104:i.commit(n[s],n[s-6],n[s-2],n[s-4]);break;case 105:i.commit(n[s],n[s-4],n[s-2],n[s-6]);break;case 106:i.commit(n[s-2],n[s-4],n[s],n[s-6]);break;case 107:i.commit(n[s],n[s-2],n[s-4],n[s-6]);break;case 108:i.commit(n[s-2],n[s],n[s-4],n[s-6]);break;case 109:i.commit(n[s-4],n[s-2],n[s],n[s-6]);break;case 110:i.commit(n[s-4],n[s],n[s-2],n[s-6]);break;case 111:i.commit(n[s-2],n[s-4],n[s-6],n[s]);break;case 112:i.commit(n[s],n[s-4],n[s-6],n[s-2]);break;case 113:i.commit(n[s-2],n[s],n[s-6],n[s-4]);break;case 114:i.commit(n[s],n[s-2],n[s-6],n[s-4]);break;case 115:i.commit(n[s-4],n[s-2],n[s-6],n[s]);break;case 116:i.commit(n[s-4],n[s],n[s-6],n[s-2]);break;case 117:this.$="";break;case 118:this.$=n[s];break;case 119:this.$=i.commitType.NORMAL;break;case 120:this.$=i.commitType.REVERSE;break;case 121:this.$=i.commitType.HIGHLIGHT}},table:[{3:1,4:2,5:e,7:r,13:i,47:a},{1:[3]},{3:7,4:2,5:e,7:r,13:i,47:a},{6:8,7:n,8:[1,9],9:[1,10],10:11,13:c},t(s,[2,124]),t(s,[2,125]),t(s,[2,126]),{1:[2,1]},{7:[1,13]},{6:14,7:n,10:11,13:c},{8:[1,15]},t(o,[2,9],{11:16,12:[1,17]}),t(l,[2,8]),{1:[2,2]},{7:[1,18]},{6:19,7:n,10:11,13:c},{7:[2,6],13:[1,22],14:20,15:21,16:23,17:24,18:25,19:[1,26],21:[1,27],23:[1,28],24:[1,29],25:30,26:[1,31],28:[1,35],31:[1,34],37:[1,33],40:[1,32]},t(l,[2,7]),{1:[2,3]},{7:[1,36]},t(o,[2,10]),{4:37,7:r,13:i,47:a},t(o,[2,12]),t(h,[2,13]),t(h,[2,14]),t(h,[2,15]),{20:[1,38]},{22:[1,39]},t(h,[2,18]),t(h,[2,19]),t(h,[2,20]),{27:40,33:m,46:y},t(h,[2,117],{41:43,32:[1,46],33:[1,48],35:[1,44],38:[1,45],42:[1,47]}),{27:49,33:m,46:y},{32:[1,50],35:[1,51]},{27:52,33:m,46:y},{1:[2,4]},t(o,[2,11]),t(h,[2,16]),t(h,[2,17]),t(h,[2,21]),t(u,[2,122]),t(u,[2,123]),t(h,[2,52]),{33:[1,53]},{39:54,43:p,44:b,45:g},{33:[1,58]},{33:[1,59]},t(h,[2,118]),t(h,[2,36],{32:[1,60],35:[1,62],38:[1,61]}),{33:[1,63]},{33:[1,64],36:[1,65]},t(h,[2,22],{29:[1,66]}),t(h,[2,53],{32:[1,68],38:[1,67],42:[1,69]}),t(h,[2,54],{32:[1,71],35:[1,70],42:[1,72]}),t(d,[2,119]),t(d,[2,120]),t(d,[2,121]),t(h,[2,57],{35:[1,73],38:[1,74],42:[1,75]}),t(h,[2,68],{32:[1,78],35:[1,76],38:[1,77]}),{33:[1,79]},{39:80,43:p,44:b,45:g},{33:[1,81]},t(h,[2,24],{34:[1,82],35:[1,83]}),{32:[1,84]},{32:[1,85]},{30:[1,86]},{39:87,43:p,44:b,45:g},{33:[1,88]},{33:[1,89]},{33:[1,90]},{33:[1,91]},{33:[1,92]},{33:[1,93]},{39:94,43:p,44:b,45:g},{33:[1,95]},{33:[1,96]},{39:97,43:p,44:b,45:g},{33:[1,98]},t(h,[2,37],{35:[1,100],38:[1,99]}),t(h,[2,38],{32:[1,102],35:[1,101]}),t(h,[2,39],{32:[1,103],38:[1,104]}),{33:[1,105]},{33:[1,106],36:[1,107]},{33:[1,108]},{33:[1,109]},t(h,[2,23]),t(h,[2,55],{32:[1,110],42:[1,111]}),t(h,[2,59],{38:[1,112],42:[1,113]}),t(h,[2,69],{32:[1,115],38:[1,114]}),t(h,[2,56],{32:[1,116],42:[1,117]}),t(h,[2,61],{35:[1,118],42:[1,119]}),t(h,[2,72],{32:[1,121],35:[1,120]}),t(h,[2,58],{38:[1,122],42:[1,123]}),t(h,[2,60],{35:[1,124],42:[1,125]}),t(h,[2,73],{35:[1,127],38:[1,126]}),t(h,[2,70],{32:[1,129],38:[1,128]}),t(h,[2,71],{32:[1,131],35:[1,130]}),t(h,[2,74],{35:[1,133],38:[1,132]}),{39:134,43:p,44:b,45:g},{33:[1,135]},{33:[1,136]},{33:[1,137]},{33:[1,138]},{39:139,43:p,44:b,45:g},t(h,[2,25],{35:[1,140]}),t(h,[2,26],{34:[1,141]}),t(h,[2,31],{34:[1,142]}),t(h,[2,29],{34:[1,143]}),t(h,[2,30],{34:[1,144]}),{33:[1,145]},{33:[1,146]},{39:147,43:p,44:b,45:g},{33:[1,148]},{39:149,43:p,44:b,45:g},{33:[1,150]},{33:[1,151]},{33:[1,152]},{33:[1,153]},{33:[1,154]},{33:[1,155]},{33:[1,156]},{39:157,43:p,44:b,45:g},{33:[1,158]},{33:[1,159]},{33:[1,160]},{39:161,43:p,44:b,45:g},{33:[1,162]},{39:163,43:p,44:b,45:g},{33:[1,164]},{33:[1,165]},{33:[1,166]},{39:167,43:p,44:b,45:g},{33:[1,168]},t(h,[2,43],{35:[1,169]}),t(h,[2,44],{38:[1,170]}),t(h,[2,42],{32:[1,171]}),t(h,[2,45],{35:[1,172]}),t(h,[2,40],{38:[1,173]}),t(h,[2,41],{32:[1,174]}),{33:[1,175],36:[1,176]},{33:[1,177]},{33:[1,178]},{33:[1,179]},{33:[1,180]},t(h,[2,66],{42:[1,181]}),t(h,[2,79],{32:[1,182]}),t(h,[2,67],{42:[1,183]}),t(h,[2,90],{38:[1,184]}),t(h,[2,80],{32:[1,185]}),t(h,[2,89],{38:[1,186]}),t(h,[2,65],{42:[1,187]}),t(h,[2,78],{32:[1,188]}),t(h,[2,64],{42:[1,189]}),t(h,[2,84],{35:[1,190]}),t(h,[2,77],{32:[1,191]}),t(h,[2,83],{35:[1,192]}),t(h,[2,63],{42:[1,193]}),t(h,[2,91],{38:[1,194]}),t(h,[2,62],{42:[1,195]}),t(h,[2,85],{35:[1,196]}),t(h,[2,86],{35:[1,197]}),t(h,[2,92],{38:[1,198]}),t(h,[2,76],{32:[1,199]}),t(h,[2,87],{38:[1,200]}),t(h,[2,75],{32:[1,201]}),t(h,[2,81],{35:[1,202]}),t(h,[2,82],{35:[1,203]}),t(h,[2,88],{38:[1,204]}),{33:[1,205]},{39:206,43:p,44:b,45:g},{33:[1,207]},{33:[1,208]},{39:209,43:p,44:b,45:g},{33:[1,210]},t(h,[2,27]),t(h,[2,32]),t(h,[2,28]),t(h,[2,33]),t(h,[2,34]),t(h,[2,35]),{33:[1,211]},{33:[1,212]},{33:[1,213]},{39:214,43:p,44:b,45:g},{33:[1,215]},{39:216,43:p,44:b,45:g},{33:[1,217]},{33:[1,218]},{33:[1,219]},{33:[1,220]},{33:[1,221]},{33:[1,222]},{33:[1,223]},{39:224,43:p,44:b,45:g},{33:[1,225]},{33:[1,226]},{33:[1,227]},{39:228,43:p,44:b,45:g},{33:[1,229]},{39:230,43:p,44:b,45:g},{33:[1,231]},{33:[1,232]},{33:[1,233]},{39:234,43:p,44:b,45:g},t(h,[2,46]),t(h,[2,48]),t(h,[2,47]),t(h,[2,49]),t(h,[2,51]),t(h,[2,50]),t(h,[2,107]),t(h,[2,108]),t(h,[2,105]),t(h,[2,106]),t(h,[2,110]),t(h,[2,109]),t(h,[2,114]),t(h,[2,113]),t(h,[2,112]),t(h,[2,111]),t(h,[2,116]),t(h,[2,115]),t(h,[2,104]),t(h,[2,103]),t(h,[2,102]),t(h,[2,101]),t(h,[2,99]),t(h,[2,100]),t(h,[2,98]),t(h,[2,97]),t(h,[2,96]),t(h,[2,95]),t(h,[2,93]),t(h,[2,94])],defaultActions:{7:[2,1],13:[2,2],18:[2,3],36:[2,4]},parseError:function(t,e){if(!e.recoverable){var 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r=new Error(t);throw r.hash=e,r}this.trace(t)},parse:function(t){var e=this,r=[0],i=[],a=[null],n=[],c=this.table,s="",o=0,l=0,h=n.slice.call(arguments,1),m=Object.create(this.lexer),y={yy:{}};for(var u in this.yy)Object.prototype.hasOwnProperty.call(this.yy,u)&&(y.yy[u]=this.yy[u]);m.setInput(t,y.yy),y.yy.lexer=m,y.yy.parser=this,void 0===m.yylloc&&(m.yylloc={});var p=m.yylloc;n.push(p);var b=m.options&&m.options.ranges;"function"==typeof y.yy.parseError?this.parseError=y.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var g,d,f,k,$,x,_,T,w,E={};;){if(d=r[r.length-1],this.defaultActions[d]?f=this.defaultActions[d]:(null==g&&(w=void 0,"number"!=typeof(w=i.pop()||m.lex()||1)&&(w instanceof Array&&(w=(i=w).pop()),w=e.symbols_[w]||w),g=w),f=c[d]&&c[d][g]),void 0===f||!f.length||!f[0]){var L="";for($ in T=[],c[d])this.terminals_[$]&&$>2&&T.push("'"+this.terminals_[$]+"'");L=m.showPosition?"Parse error on line "+(o+1)+":\n"+m.showPosition()+"\nExpecting "+T.join(", 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k;x&&(r=r.slice(0,-1*x*2),a=a.slice(0,-1*x),n=n.slice(0,-1*x)),r.push(this.productions_[f[1]][0]),a.push(E.$),n.push(E._$),_=c[r[r.length-2]][r[r.length-1]],r.push(_);break;case 3:return!0}}return!0}},k={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,r=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),r.length-1&&(this.yylineno-=r.length-1);var a=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:r?(r.length===i.length?this.yylloc.first_column:0)+i[i.length-r.length].length-r[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[a[0],a[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models."]}),"\n",(0,s.jsx)(i.p,{children:"Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener."}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-measured-with-listeners",children:"How is Speech Intelligibility measured with listeners?"}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence."}),"\n",(0,s.jsxs)(i.p,{children:["You might consider looking at ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S1877050918302187",children:"other metrics"}),", such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project."]}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",children:"How is Speech Intelligibility objectively measured by a computer?"}),"\n",(0,s.jsx)(i.p,{children:"When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals."}),"\n",(0,s.jsx)(i.p,{children:"Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal."}),"\n",(0,s.jsx)(i.li,{children:"Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone."}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(66636).c+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(96236).c+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(a.c,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids."})}),"\n",(0,s.jsx)(i.h2,{id:"hearing-loss",children:"Hearing Loss"}),"\n",(0,s.jsxs)(i.p,{children:["There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of ",(0,s.jsx)(i.a,{href:"https://rnid.org.uk/information-and-support/hearing-loss/types-of-hearing-loss-and-deafness/",children:"sensorineural hearing loss"}),"."]}),"\n",(0,s.jsx)(i.h3,{id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",children:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?"}),"\n",(0,s.jsx)(i.p,{children:"In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits."}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/waPONoYrf8Q",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(a.c,{summary:"Click arrow to see synopsis.",children:(0,s.jsxs)(i.p,{children:["Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/en/definition/suprathreshold",children:"suprathreshold"})," deficits remain. The most common type of hearing loss is a ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/definition/cochlear",children:"cochlear"})," hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon."]})})]})}function p(e={}){const{wrapper:i}={...(0,n.M)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(d,{...e})}):d(e)}},22808:(e,i,t)=>{t.d(i,{c:()=>f});var s=t(11504),n=t(34064),a=t(15420),r=t(5976),o=t(93664),l=t(58448);const c={details:"details_lb9f",isBrowser:"isBrowser_bmU9",collapsibleContent:"collapsibleContent_i85q"};var h=t(17624);function d(e){return!!e&&("SUMMARY"===e.tagName||d(e.parentElement))}function p(e,i){return!!e&&(e===i||p(e.parentElement,i))}function u(e){let{summary:i,children:t,...n}=e;(0,r.c)().collectAnchor(n.id);const u=(0,o.c)(),m=(0,s.useRef)(null),{collapsed:g,setCollapsed:f}=(0,l.a)({initialState:!n.open}),[y,b]=(0,s.useState)(n.open),w=s.isValidElement(i)?i:(0,h.jsx)("summary",{children:i??"Details"});return(0,h.jsxs)("details",{...n,ref:m,open:y,"data-collapsed":g,className:(0,a.c)(c.details,u&&c.isBrowser,n.className),onMouseDown:e=>{d(e.target)&&e.detail>1&&e.preventDefault()},onClick:e=>{e.stopPropagation();const i=e.target;d(i)&&p(i,m.current)&&(e.preventDefault(),g?(f(!1),b(!0)):f(!0))},children:[w,(0,h.jsx)(l.U,{lazy:!1,collapsed:g,disableSSRStyle:!0,onCollapseTransitionEnd:e=>{f(e),b(!e)},children:(0,h.jsx)("div",{className:c.collapsibleContent,children:t})})]})}const m={details:"details_b_Ee"},g="alert alert--info";function f(e){let{...i}=e;return(0,h.jsx)(u,{...i,className:(0,n.c)(g,m.details,i.className)})}},66636:(e,i,t)=>{t.d(i,{c:()=>s});const s=t.p+"assets/files/HASPIv2_HASQIv2_HAAQIv1-90688098b8d9e90fdc1ee4516175688c.zip"},96236:(e,i,t)=>{t.d(i,{c:()=>s});const s=t.p+"assets/files/Users_Guide_ver3-079c55157dae104c506c47dd0bf03565.zip"},4552:(e,i,t)=>{t.d(i,{I:()=>o,M:()=>r});var s=t(11504);const n={},a=s.createContext(n);function r(e){const i=s.useContext(a);return s.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function o(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(n):e.components||n:r(e.components),s.createElement(a.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/745c344c.aa72872e.js b/assets/js/745c344c.aa72872e.js deleted file mode 100644 index 3a721d46e..000000000 --- a/assets/js/745c344c.aa72872e.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6988],{41281:(e,i,t)=>{t.r(i),t.d(i,{assets:()=>c,contentTitle:()=>o,default:()=>p,frontMatter:()=>r,metadata:()=>l,toc:()=>h});var s=t(85893),n=t(11151),a=t(34673);const r={id:"icassp2023_faq",title:"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ",sidebar_label:"FAQ",sidebar_position:15},o=void 0,l={id:"icassp2023/taking_part/icassp2023_faq",title:"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ",description:"Speech Intelligibility",source:"@site/docs/icassp2023/taking_part/icassp2023_faq.mdx",sourceDirName:"icassp2023/taking_part",slug:"/icassp2023/taking_part/icassp2023_faq",permalink:"/docs/icassp2023/taking_part/icassp2023_faq",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:15,frontMatter:{id:"icassp2023_faq",title:"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ",sidebar_label:"FAQ",sidebar_position:15},sidebar:"tutorialSidebar_icassp2023",previous:{title:"Submission",permalink:"/docs/icassp2023/taking_part/icassp2023_submission"},next:{title:"Results",permalink:"/docs/icassp2023/icassp2023_results"}},c={},h=[{value:"Speech Intelligibility",id:"speech-intelligibility",level:2},{value:"What is Speech Intelligibility?",id:"what-is-speech-intelligibility",level:3},{value:"How is Speech Intelligibility measured with listeners?",id:"how-is-speech-intelligibility-measured-with-listeners",level:3},{value:"How is Speech Intelligibility objectively measured by a computer?",id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",level:3},{value:"What speech intelligibility models already exist and what are they used for?",id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",level:3},{value:"Hearing Loss",id:"hearing-loss",level:2},{value:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?",id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",level:3}];function d(e){const i={a:"a",h2:"h2",h3:"h3",li:"li",p:"p",ul:"ul",...(0,n.a)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.h2,{id:"speech-intelligibility",children:"Speech Intelligibility"}),"\n",(0,s.jsx)(i.h3,{id:"what-is-speech-intelligibility",children:"What is Speech Intelligibility?"}),"\n",(0,s.jsxs)(i.p,{children:["The term ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Intelligibility_(communication)",children:"Speech Intelligibility"})," is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models."]}),"\n",(0,s.jsx)(i.p,{children:"Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener."}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-measured-with-listeners",children:"How is Speech Intelligibility measured with listeners?"}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence."}),"\n",(0,s.jsxs)(i.p,{children:["You might consider looking at ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S1877050918302187",children:"other metrics"}),", such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project."]}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",children:"How is Speech Intelligibility objectively measured by a computer?"}),"\n",(0,s.jsx)(i.p,{children:"When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals."}),"\n",(0,s.jsx)(i.p,{children:"Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal."}),"\n",(0,s.jsx)(i.li,{children:"Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone."}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(51746).Z+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(58150).Z+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(a.Z,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids."})}),"\n",(0,s.jsx)(i.h2,{id:"hearing-loss",children:"Hearing Loss"}),"\n",(0,s.jsxs)(i.p,{children:["There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of ",(0,s.jsx)(i.a,{href:"https://rnid.org.uk/information-and-support/hearing-loss/types-of-hearing-loss-and-deafness/",children:"sensorineural hearing loss"}),"."]}),"\n",(0,s.jsx)(i.h3,{id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",children:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?"}),"\n",(0,s.jsx)(i.p,{children:"In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits."}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/waPONoYrf8Q",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(a.Z,{summary:"Click arrow to see synopsis.",children:(0,s.jsxs)(i.p,{children:["Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/en/definition/suprathreshold",children:"suprathreshold"})," deficits remain. The most common type of hearing loss is a ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/definition/cochlear",children:"cochlear"})," hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon."]})})]})}function p(e={}){const{wrapper:i}={...(0,n.a)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(d,{...e})}):d(e)}},34673:(e,i,t)=>{t.d(i,{Z:()=>f});var s=t(67294),n=t(36905),a=t(788),r=t(28138),o=t(72389),l=t(86043);const c={details:"details_lb9f",isBrowser:"isBrowser_bmU9",collapsibleContent:"collapsibleContent_i85q"};var h=t(85893);function d(e){return!!e&&("SUMMARY"===e.tagName||d(e.parentElement))}function p(e,i){return!!e&&(e===i||p(e.parentElement,i))}function u(e){let{summary:i,children:t,...n}=e;(0,r.Z)().collectAnchor(n.id);const u=(0,o.Z)(),m=(0,s.useRef)(null),{collapsed:g,setCollapsed:f}=(0,l.u)({initialState:!n.open}),[y,b]=(0,s.useState)(n.open),w=s.isValidElement(i)?i:(0,h.jsx)("summary",{children:i??"Details"});return(0,h.jsxs)("details",{...n,ref:m,open:y,"data-collapsed":g,className:(0,a.Z)(c.details,u&&c.isBrowser,n.className),onMouseDown:e=>{d(e.target)&&e.detail>1&&e.preventDefault()},onClick:e=>{e.stopPropagation();const i=e.target;d(i)&&p(i,m.current)&&(e.preventDefault(),g?(f(!1),b(!0)):f(!0))},children:[w,(0,h.jsx)(l.z,{lazy:!1,collapsed:g,disableSSRStyle:!0,onCollapseTransitionEnd:e=>{f(e),b(!e)},children:(0,h.jsx)("div",{className:c.collapsibleContent,children:t})})]})}const m={details:"details_b_Ee"},g="alert alert--info";function f(e){let{...i}=e;return(0,h.jsx)(u,{...i,className:(0,n.Z)(g,m.details,i.className)})}},51746:(e,i,t)=>{t.d(i,{Z:()=>s});const s=t.p+"assets/files/HASPIv2_HASQIv2_HAAQIv1-90688098b8d9e90fdc1ee4516175688c.zip"},58150:(e,i,t)=>{t.d(i,{Z:()=>s});const s=t.p+"assets/files/Users_Guide_ver3-079c55157dae104c506c47dd0bf03565.zip"},11151:(e,i,t)=>{t.d(i,{Z:()=>o,a:()=>r});var s=t(67294);const n={},a=s.createContext(n);function r(e){const i=s.useContext(a);return s.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function o(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(n):e.components||n:r(e.components),s.createElement(a.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/746b0707.47a447d9.js b/assets/js/746b0707.47a447d9.js new file mode 100644 index 000000000..18c21b809 --- /dev/null +++ b/assets/js/746b0707.47a447d9.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[4800],{37888:(e,t,n)=>{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>o,default:()=>d,frontMatter:()=>i,metadata:()=>s,toc:()=>c});var r=n(17624),a=n(4552);const i={slug:"Announcing CPC2",title:"Announcing the 2nd Clarity Prediction Challenge (CPC2)",authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",image_url:"https://avatars.githubusercontent.com/jonbarker68"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["clarity","announcement","CPC2"]},o=void 0,s={permalink:"/blog/Announcing CPC2",source:"@site/blog/2023-03-17-announcing-CPC2.mdx",title:"Announcing the 2nd Clarity Prediction Challenge (CPC2)",description:"The 2nd Clarity Prediction Challenge - Register Now",date:"2023-03-17T00:00:00.000Z",formattedDate:"March 17, 2023",tags:[{label:"clarity",permalink:"/blog/tags/clarity"},{label:"announcement",permalink:"/blog/tags/announcement"},{label:"CPC2",permalink:"/blog/tags/cpc-2"}],readingTime:1.72,hasTruncateMarker:!1,authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",image_url:"https://avatars.githubusercontent.com/jonbarker68",imageURL:"https://avatars.githubusercontent.com/jonbarker68"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"Announcing CPC2",title:"Announcing the 2nd Clarity Prediction Challenge (CPC2)",authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",image_url:"https://avatars.githubusercontent.com/jonbarker68",imageURL:"https://avatars.githubusercontent.com/jonbarker68"},{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["clarity","announcement","CPC2"]},unlisted:!1,prevItem:{title:"Clarity-2023 Workshop @ Interspeech, Dublin",permalink:"/blog/Clarity-2023 Workshop @ Interspeech, Dublin"},nextItem:{title:"ICASSP 2023 evaluation data released",permalink:"/blog/ICASSP 2023 evaluation data released"}},l={authorsImageUrls:[void 0,void 0]},c=[{value:"Register now to take part",id:"register-now-to-take-part",level:3},{value:"Important Dates",id:"important-dates",level:3},{value:"What will be provided",id:"what-will-be-provided",level:3},{value:"For further information",id:"for-further-information",level:3}];function h(e){const t={a:"a",h3:"h3",li:"li",p:"p",ul:"ul",...(0,a.M)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsxs)(t.p,{children:["The 2nd Clarity Prediction Challenge - ",(0,r.jsx)(t.a,{href:"https://claritychallenge.org/docs/cpc2/taking_part/cpc2_registration",children:"Register Now"})]}),"\n",(0,r.jsx)(t.p,{children:"To allow the development of better hearing aids, we need ways to evaluate the speech intelligibility of audio signals automatically. 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assets/js/7523.85c7c07b.js.LICENSE.txt diff --git a/assets/js/943.9fb4820e.js b/assets/js/76.833ce430.js similarity index 87% rename from assets/js/943.9fb4820e.js rename to assets/js/76.833ce430.js index 2764902b3..d3a71e7ea 100644 --- a/assets/js/943.9fb4820e.js +++ b/assets/js/76.833ce430.js @@ -1,35 +1,35 @@ "use strict"; -exports.id = 943; -exports.ids = [943]; +exports.id = 76; +exports.ids = [76]; exports.modules = { -/***/ 41644: +/***/ 32304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - bK: () => (/* reexport */ layout) + cn: () => (/* reexport */ layout) }); // UNUSED EXPORTS: acyclic, normalize, rank // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/uniqueId.js -var uniqueId = __webpack_require__(66749); +var uniqueId = __webpack_require__(41696); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); +var map = __webpack_require__(92696); // EXTERNAL MODULE: ./node_modules/lodash-es/range.js + 2 modules -var range = __webpack_require__(74379); +var range = __webpack_require__(52264); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); +var graphlib = __webpack_require__(95536); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/data/list.js /* * Simple doubly linked list implementation derived from Cormen, et al., @@ -101,7 +101,7 @@ function filterOutLinks(k, v) { */ -var DEFAULT_WEIGHT_FN = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FN = constant/* default */.c(1); function greedyFAS(g, weightFn) { if (g.nodeCount() <= 1) { @@ -111,8 +111,8 @@ function greedyFAS(g, weightFn) { var results = doGreedyFAS(state.graph, state.buckets, state.zeroIdx); // Expand multi-edges - return flatten/* default */.Z( - map/* default */.Z(results, function (e) { + return flatten/* default */.c( + map/* default */.c(results, function (e) { return g.outEdges(e.v, e.w); }) ); @@ -148,7 +148,7 @@ function doGreedyFAS(g, buckets, zeroIdx) { function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { var results = collectPredecessors ? [] : undefined; - forEach/* default */.Z(g.inEdges(entry.v), function (edge) { + forEach/* default */.c(g.inEdges(entry.v), function (edge) { var weight = g.edge(edge); var uEntry = g.node(edge.v); @@ -160,7 +160,7 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { assignBucket(buckets, zeroIdx, uEntry); }); - forEach/* default */.Z(g.outEdges(entry.v), function (edge) { + forEach/* default */.c(g.outEdges(entry.v), function (edge) { var weight = g.edge(edge); var w = edge.w; var wEntry = g.node(w); @@ -174,17 +174,17 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { } function buildState(g, weightFn) { - var fasGraph = new graphlib/* Graph */.k(); + var fasGraph = new graphlib/* Graph */.M(); var maxIn = 0; var maxOut = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { fasGraph.setNode(v, { v: v, in: 0, out: 0 }); }); // Aggregate weights on nodes, but also sum the weights across multi-edges // into a single edge for the fasGraph. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var prevWeight = fasGraph.edge(e.v, e.w) || 0; var weight = weightFn(e); var edgeWeight = prevWeight + weight; @@ -193,12 +193,12 @@ function buildState(g, weightFn) { maxIn = Math.max(maxIn, (fasGraph.node(e.w)['in'] += weight)); }); - var buckets = range/* default */.Z(maxOut + maxIn + 3).map(function () { + var buckets = range/* default */.c(maxOut + maxIn + 3).map(function () { return new List(); }); var zeroIdx = maxIn + 1; - forEach/* default */.Z(fasGraph.nodes(), function (v) { + forEach/* default */.c(fasGraph.nodes(), function (v) { assignBucket(buckets, zeroIdx, fasGraph.node(v)); }); @@ -223,12 +223,12 @@ function assignBucket(buckets, zeroIdx, entry) { function run(g) { var fas = g.graph().acyclicer === 'greedy' ? greedyFAS(g, weightFn(g)) : dfsFAS(g); - forEach/* default */.Z(fas, function (e) { + forEach/* default */.c(fas, function (e) { var label = g.edge(e); g.removeEdge(e); label.forwardName = e.name; label.reversed = true; - g.setEdge(e.w, e.v, label, uniqueId/* default */.Z('rev')); + g.setEdge(e.w, e.v, label, uniqueId/* default */.c('rev')); }); function weightFn(g) { @@ -244,13 +244,13 @@ function dfsFAS(g) { var visited = {}; function dfs(v) { - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return; } visited[v] = true; stack[v] = true; - forEach/* default */.Z(g.outEdges(v), function (e) { - if (has/* default */.Z(stack, e.w)) { + forEach/* default */.c(g.outEdges(v), function (e) { + if (has/* default */.c(stack, e.w)) { fas.push(e); } else { dfs(e.w); @@ -259,12 +259,12 @@ function dfsFAS(g) { delete stack[v]; } - forEach/* default */.Z(g.nodes(), dfs); + forEach/* default */.c(g.nodes(), dfs); return fas; } function undo(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var label = g.edge(e); if (label.reversed) { g.removeEdge(e); @@ -278,13 +278,13 @@ function undo(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/merge.js + 6 modules -var merge = __webpack_require__(59236); +var merge = __webpack_require__(89064); // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseExtremum.js @@ -307,7 +307,7 @@ function baseExtremum(array, iteratee, comparator) { current = iteratee(value); if (current != null && (computed === undefined - ? (current === current && !(0,isSymbol/* default */.Z)(current)) + ? (current === current && !(0,isSymbol/* default */.c)(current)) : comparator(current, computed) )) { var computed = current, @@ -336,7 +336,7 @@ function baseGt(value, other) { /* harmony default export */ const _baseGt = (baseGt); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/max.js @@ -362,7 +362,7 @@ var identity = __webpack_require__(69203); */ function max(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseGt) + ? _baseExtremum(array, identity/* default */.c, _baseGt) : undefined; } @@ -391,11 +391,11 @@ function last(array) { /* harmony default export */ const lodash_es_last = (last); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseAssignValue.js -var _baseAssignValue = __webpack_require__(74752); +var _baseAssignValue = __webpack_require__(78848); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/mapValues.js @@ -431,10 +431,10 @@ var _baseIteratee = __webpack_require__(74765); */ function mapValues(object, iteratee) { var result = {}; - iteratee = (0,_baseIteratee/* default */.Z)(iteratee, 3); + iteratee = (0,_baseIteratee/* default */.c)(iteratee, 3); - (0,_baseForOwn/* default */.Z)(object, function(value, key, object) { - (0,_baseAssignValue/* default */.Z)(result, key, iteratee(value, key, object)); + (0,_baseForOwn/* default */.c)(object, function(value, key, object) { + (0,_baseAssignValue/* default */.c)(result, key, iteratee(value, key, object)); }); return result; } @@ -442,7 +442,7 @@ function mapValues(object, iteratee) { /* harmony default export */ const lodash_es_mapValues = (mapValues); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseLt.js /** * The base implementation of `_.lt` which doesn't coerce arguments. @@ -484,14 +484,14 @@ function baseLt(value, other) { */ function min(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseLt) + ? _baseExtremum(array, identity/* default */.c, _baseLt) : undefined; } /* harmony default export */ const lodash_es_min = (min); // EXTERNAL MODULE: ./node_modules/lodash-es/_root.js -var _root = __webpack_require__(66092); +var _root = __webpack_require__(43936); ;// CONCATENATED MODULE: ./node_modules/lodash-es/now.js @@ -512,7 +512,7 @@ var _root = __webpack_require__(66092); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { - return _root/* default */.Z.Date.now(); + return _root/* default */.c.Date.now(); }; /* harmony default export */ const lodash_es_now = (now); @@ -529,7 +529,7 @@ var now = function() { function addDummyNode(g, type, attrs, name) { var v; do { - v = uniqueId/* default */.Z(name); + v = uniqueId/* default */.c(name); } while (g.hasNode(v)); attrs.dummy = type; @@ -542,11 +542,11 @@ function addDummyNode(g, type, attrs, name) { * associated with multi-edges. */ function simplify(g) { - var simplified = new graphlib/* Graph */.k().setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M().setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { simplified.setNode(v, g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var simpleLabel = simplified.edge(e.v, e.w) || { weight: 0, minlen: 1 }; var label = g.edge(e); simplified.setEdge(e.v, e.w, { @@ -558,13 +558,13 @@ function simplify(g) { } function asNonCompoundGraph(g) { - var simplified = new graphlib/* Graph */.k({ multigraph: g.isMultigraph() }).setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M({ multigraph: g.isMultigraph() }).setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { if (!g.children(v).length) { simplified.setNode(v, g.node(v)); } }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { simplified.setEdge(e, g.edge(e)); }); return simplified; @@ -636,13 +636,13 @@ function intersectRect(rect, point) { * function will produce a matrix with the ids of each node. */ function buildLayerMatrix(g) { - var layering = map/* default */.Z(range/* default */.Z(util_maxRank(g) + 1), function () { + var layering = map/* default */.c(range/* default */.c(util_maxRank(g) + 1), function () { return []; }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); var rank = node.rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { layering[rank][node.order] = v; } }); @@ -655,13 +655,13 @@ function buildLayerMatrix(g) { */ function normalizeRanks(g) { var min = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); - if (has/* default */.Z(node, 'rank')) { + if (has/* default */.c(node, 'rank')) { node.rank -= min; } }); @@ -670,13 +670,13 @@ function normalizeRanks(g) { function removeEmptyRanks(g) { // Ranks may not start at 0, so we need to offset them var offset = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); var layers = []; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank - offset; if (!layers[rank]) { layers[rank] = []; @@ -686,11 +686,11 @@ function removeEmptyRanks(g) { var delta = 0; var nodeRankFactor = g.graph().nodeRankFactor; - forEach/* default */.Z(layers, function (vs, i) { - if (isUndefined/* default */.Z(vs) && i % nodeRankFactor !== 0) { + forEach/* default */.c(layers, function (vs, i) { + if (isUndefined/* default */.c(vs) && i % nodeRankFactor !== 0) { --delta; } else if (delta) { - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { g.node(v).rank += delta; }); } @@ -711,9 +711,9 @@ function addBorderNode(g, prefix, rank, order) { function util_maxRank(g) { return lodash_es_max( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { return rank; } }) @@ -727,7 +727,7 @@ function util_maxRank(g) { */ function partition(collection, fn) { var result = { lhs: [], rhs: [] }; - forEach/* default */.Z(collection, function (value) { + forEach/* default */.c(collection, function (value) { if (fn(value)) { result.lhs.push(value); } else { @@ -765,10 +765,10 @@ function addBorderSegments(g) { var children = g.children(v); var node = g.node(v); if (children.length) { - forEach/* default */.Z(children, dfs); + forEach/* default */.c(children, dfs); } - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { node.borderLeft = []; node.borderRight = []; for (var rank = node.minRank, maxRank = node.maxRank + 1; rank < maxRank; ++rank) { @@ -778,7 +778,7 @@ function addBorderSegments(g) { } } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); } function add_border_segments_addBorderNode(g, prop, prefix, sg, sgNode, rank) { @@ -817,10 +817,10 @@ function coordinate_system_undo(g) { } function swapWidthHeight(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapWidthHeightOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { swapWidthHeightOne(g.edge(e)); }); } @@ -832,14 +832,14 @@ function swapWidthHeightOne(attrs) { } function reverseY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { reverseYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, reverseYOne); - if (has/* default */.Z(edge, 'y')) { + forEach/* default */.c(edge.points, reverseYOne); + if (has/* default */.c(edge, 'y')) { reverseYOne(edge); } }); @@ -850,14 +850,14 @@ function reverseYOne(attrs) { } function swapXY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapXYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, swapXYOne); - if (has/* default */.Z(edge, 'x')) { + forEach/* default */.c(edge.points, swapXYOne); + if (has/* default */.c(edge, 'x')) { swapXYOne(edge); } }); @@ -893,7 +893,7 @@ function swapXYOne(attrs) { */ function normalize_run(g) { g.graph().dummyChains = []; - forEach/* default */.Z(g.edges(), function (edge) { + forEach/* default */.c(g.edges(), function (edge) { normalizeEdge(g, edge); }); } @@ -941,7 +941,7 @@ function normalizeEdge(g, e) { } function normalize_undo(g) { - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var origLabel = node.edgeLabel; var w; @@ -992,7 +992,7 @@ function normalize_undo(g) { */ function minBy(array, iteratee) { return (array && array.length) - ? _baseExtremum(array, (0,_baseIteratee/* default */.Z)(iteratee, 2), _baseLt) + ? _baseExtremum(array, (0,_baseIteratee/* default */.c)(iteratee, 2), _baseLt) : undefined; } @@ -1029,13 +1029,13 @@ function longestPath(g) { function dfs(v) { var label = g.node(v); - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return label.rank; } visited[v] = true; var rank = lodash_es_min( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return dfs(e.w) - g.edge(e).minlen; }) ); @@ -1052,7 +1052,7 @@ function longestPath(g) { return (label.rank = rank); } - forEach/* default */.Z(g.sources(), dfs); + forEach/* default */.c(g.sources(), dfs); } /* @@ -1096,7 +1096,7 @@ function slack(g, e) { * edges. */ function feasibleTree(g) { - var t = new graphlib/* Graph */.k({ directed: false }); + var t = new graphlib/* Graph */.M({ directed: false }); // Choose arbitrary node from which to start our tree var start = g.nodes()[0]; @@ -1119,7 +1119,7 @@ function feasibleTree(g) { */ function tightTree(t, g) { function dfs(v) { - forEach/* default */.Z(g.nodeEdges(v), function (e) { + forEach/* default */.c(g.nodeEdges(v), function (e) { var edgeV = e.v, w = v === edgeV ? e.w : edgeV; if (!t.hasNode(w) && !slack(g, e)) { @@ -1130,7 +1130,7 @@ function tightTree(t, g) { }); } - forEach/* default */.Z(t.nodes(), dfs); + forEach/* default */.c(t.nodes(), dfs); return t.nodeCount(); } @@ -1147,15 +1147,15 @@ function findMinSlackEdge(t, g) { } function shiftRanks(t, g, delta) { - forEach/* default */.Z(t.nodes(), function (v) { + forEach/* default */.c(t.nodes(), function (v) { g.node(v).rank += delta; }); } // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createFind.js @@ -1171,9 +1171,9 @@ var keys = __webpack_require__(17179); function createFind(findIndexFunc) { return function(collection, predicate, fromIndex) { var iterable = Object(collection); - if (!(0,isArrayLike/* default */.Z)(collection)) { - var iteratee = (0,_baseIteratee/* default */.Z)(predicate, 3); - collection = (0,keys/* default */.Z)(collection); + if (!(0,isArrayLike/* default */.c)(collection)) { + var iteratee = (0,_baseIteratee/* default */.c)(predicate, 3); + collection = (0,keys/* default */.c)(collection); predicate = function(key) { return iteratee(iterable[key], key, iterable); }; } var index = findIndexFunc(collection, predicate, fromIndex); @@ -1184,9 +1184,9 @@ function createFind(findIndexFunc) { /* harmony default export */ const _createFind = (createFind); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toInteger.js @@ -1217,7 +1217,7 @@ var toFinite = __webpack_require__(94099); * // => 3 */ function toInteger(value) { - var result = (0,toFinite/* default */.Z)(value), + var result = (0,toFinite/* default */.c)(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; @@ -1277,7 +1277,7 @@ function findIndex(array, predicate, fromIndex) { if (index < 0) { index = nativeMax(length + index, 0); } - return (0,_baseFindIndex/* default */.Z)(array, (0,_baseIteratee/* default */.Z)(predicate, 3), index); + return (0,_baseFindIndex/* default */.c)(array, (0,_baseIteratee/* default */.c)(predicate, 3), index); } /* harmony default export */ const lodash_es_findIndex = (findIndex); @@ -1327,14 +1327,14 @@ var find = _createFind(lodash_es_findIndex); /* harmony default export */ const lodash_es_find = (find); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/dijkstra.js -var DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function dijkstra_dijkstra(g, source, weightFn, edgeFn) { return runDijkstra( @@ -1416,7 +1416,7 @@ function dijkstraAll(g, weightFunc, edgeFunc) { -var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function floydWarshall(g, weightFn, edgeFn) { return runFloydWarshall( @@ -1469,15 +1469,15 @@ function runFloydWarshall(g, weightFn, edgeFn) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseKeys.js + 1 modules -var _baseKeys = __webpack_require__(39473); +var _baseKeys = __webpack_require__(61376); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetTag.js + 2 modules -var _baseGetTag = __webpack_require__(93589); +var _baseGetTag = __webpack_require__(67724); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isString.js @@ -1505,13 +1505,13 @@ var stringTag = '[object String]'; */ function isString(value) { return typeof value == 'string' || - (!(0,isArray/* default */.Z)(value) && (0,isObjectLike/* default */.Z)(value) && (0,_baseGetTag/* default */.Z)(value) == stringTag); + (!(0,isArray/* default */.c)(value) && (0,isObjectLike/* default */.c)(value) && (0,_baseGetTag/* default */.c)(value) == stringTag); } /* harmony default export */ const lodash_es_isString = (isString); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_asciiSize.js @@ -1522,7 +1522,7 @@ var _baseProperty = __webpack_require__(54193); * @param {string} string The string inspect. * @returns {number} Returns the string size. */ -var asciiSize = (0,_baseProperty/* default */.Z)('length'); +var asciiSize = (0,_baseProperty/* default */.c)('length'); /* harmony default export */ const _asciiSize = (asciiSize); @@ -1656,14 +1656,14 @@ function size(collection) { if (collection == null) { return 0; } - if ((0,isArrayLike/* default */.Z)(collection)) { + if ((0,isArrayLike/* default */.c)(collection)) { return lodash_es_isString(collection) ? _stringSize(collection) : collection.length; } - var tag = (0,_getTag/* default */.Z)(collection); + var tag = (0,_getTag/* default */.c)(collection); if (tag == mapTag || tag == setTag) { return collection.size; } - return (0,_baseKeys/* default */.Z)(collection).length; + return (0,_baseKeys/* default */.c)(collection).length; } /* harmony default export */ const lodash_es_size = (size); @@ -1681,20 +1681,20 @@ function topsort_topsort(g) { var results = []; function visit(node) { - if (has/* default */.Z(stack, node)) { + if (has/* default */.c(stack, node)) { throw new topsort_CycleException(); } - if (!has/* default */.Z(visited, node)) { + if (!has/* default */.c(visited, node)) { stack[node] = true; visited[node] = true; - forEach/* default */.Z(g.predecessors(node), visit); + forEach/* default */.c(g.predecessors(node), visit); delete stack[node]; results.push(node); } } - forEach/* default */.Z(g.sinks(), visit); + forEach/* default */.c(g.sinks(), visit); if (lodash_es_size(visited) !== g.nodeCount()) { throw new topsort_CycleException(); @@ -1737,7 +1737,7 @@ function isAcyclic(g) { * Order must be one of "pre" or "post". */ function dfs(g, vs, order) { - if (!isArray/* default */.Z(vs)) { + if (!isArray/* default */.c(vs)) { vs = [vs]; } @@ -1745,7 +1745,7 @@ function dfs(g, vs, order) { var acc = []; var visited = {}; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (!g.hasNode(v)) { throw new Error('Graph does not have node: ' + v); } @@ -1756,13 +1756,13 @@ function dfs(g, vs, order) { } function doDfs(g, v, postorder, visited, navigation, acc) { - if (!has/* default */.Z(visited, v)) { + if (!has/* default */.c(visited, v)) { visited[v] = true; if (!postorder) { acc.push(v); } - forEach/* default */.Z(navigation(v), function (w) { + forEach/* default */.c(navigation(v), function (w) { doDfs(g, w, postorder, visited, navigation, acc); }); if (postorder) { @@ -1790,7 +1790,7 @@ function preorder(g, vs) { } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); +var graph = __webpack_require__(58048); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/prim.js @@ -1930,7 +1930,7 @@ function networkSimplex(g) { function initCutValues(t, g) { var vs = postorder(t, t.nodes()); vs = vs.slice(0, vs.length - 1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { assignCutValue(t, g, v); }); } @@ -1962,7 +1962,7 @@ function calcCutValue(t, g, child) { cutValue = graphEdge.weight; - forEach/* default */.Z(g.nodeEdges(child), function (e) { + forEach/* default */.c(g.nodeEdges(child), function (e) { var isOutEdge = e.v === child, other = isOutEdge ? e.w : e.v; @@ -1993,8 +1993,8 @@ function dfsAssignLowLim(tree, visited, nextLim, v, parent) { var label = tree.node(v); visited[v] = true; - forEach/* default */.Z(tree.neighbors(v), function (w) { - if (!has/* default */.Z(visited, w)) { + forEach/* default */.c(tree.neighbors(v), function (w) { + if (!has/* default */.c(visited, w)) { nextLim = dfsAssignLowLim(tree, visited, nextLim, w, v); } }); @@ -2041,7 +2041,7 @@ function enterEdge(t, g, edge) { flip = true; } - var candidates = filter/* default */.Z(g.edges(), function (edge) { + var candidates = filter/* default */.c(g.edges(), function (edge) { return ( flip === isDescendant(t, t.node(edge.v), tailLabel) && flip !== isDescendant(t, t.node(edge.w), tailLabel) @@ -2069,7 +2069,7 @@ function updateRanks(t, g) { }); var vs = preorder(t, root); vs = vs.slice(1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var parent = t.node(v).parent, edge = g.edge(v, parent), flipped = false; @@ -2153,9 +2153,9 @@ function networkSimplexRanker(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/nesting-graph.js @@ -2188,13 +2188,13 @@ var reduce = __webpack_require__(92344); function nesting_graph_run(g) { var root = addDummyNode(g, 'root', {}, '_root'); var depths = treeDepths(g); - var height = lodash_es_max(values/* default */.Z(depths)) - 1; // Note: depths is an Object not an array + var height = lodash_es_max(values/* default */.c(depths)) - 1; // Note: depths is an Object not an array var nodeSep = 2 * height + 1; g.graph().nestingRoot = root; // Multiply minlen by nodeSep to align nodes on non-border ranks. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { g.edge(e).minlen *= nodeSep; }); @@ -2202,7 +2202,7 @@ function nesting_graph_run(g) { var weight = sumWeights(g) + 1; // Create border nodes and link them up - forEach/* default */.Z(g.children(), function (child) { + forEach/* default */.c(g.children(), function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); }); @@ -2229,7 +2229,7 @@ function nesting_graph_dfs(g, root, nodeSep, weight, height, depths, v) { g.setParent(bottom, v); label.borderBottom = bottom; - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); var childNode = g.node(child); @@ -2261,20 +2261,20 @@ function treeDepths(g) { function dfs(v, depth) { var children = g.children(v); if (children && children.length) { - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { dfs(child, depth + 1); }); } depths[v] = depth; } - forEach/* default */.Z(g.children(), function (v) { + forEach/* default */.c(g.children(), function (v) { dfs(v, 1); }); return depths; } function sumWeights(g) { - return reduce/* default */.Z( + return reduce/* default */.c( g.edges(), function (acc, e) { return acc + g.edge(e).weight; @@ -2287,7 +2287,7 @@ function cleanup(g) { var graphLabel = g.graph(); g.removeNode(graphLabel.nestingRoot); delete graphLabel.nestingRoot; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.nestingEdge) { g.removeEdge(e); @@ -2296,7 +2296,7 @@ function cleanup(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); +var _baseClone = __webpack_require__(48492); ;// CONCATENATED MODULE: ./node_modules/lodash-es/cloneDeep.js @@ -2323,7 +2323,7 @@ var CLONE_DEEP_FLAG = 1, * // => false */ function cloneDeep(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); + return (0,_baseClone/* default */.c)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); } /* harmony default export */ const lodash_es_cloneDeep = (cloneDeep); @@ -2337,7 +2337,7 @@ function addSubgraphConstraints(g, cg, vs) { var prev = {}, rootPrev; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var child = g.parent(v), parent, prevChild; @@ -2421,13 +2421,13 @@ function addSubgraphConstraints(g, cg, vs) { */ function buildLayerGraph(g, rank, relationship) { var root = createRootNode(g), - result = new graphlib/* Graph */.k({ compound: true }) + result = new graphlib/* Graph */.M({ compound: true }) .setGraph({ root: root }) .setDefaultNodeLabel(function (v) { return g.node(v); }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v), parent = g.parent(v); @@ -2436,14 +2436,14 @@ function buildLayerGraph(g, rank, relationship) { result.setParent(v, parent || root); // This assumes we have only short edges! - forEach/* default */.Z(g[relationship](v), function (e) { + forEach/* default */.c(g[relationship](v), function (e) { var u = e.v === v ? e.w : e.v, edge = result.edge(u, v), - weight = !isUndefined/* default */.Z(edge) ? edge.weight : 0; + weight = !isUndefined/* default */.c(edge) ? edge.weight : 0; result.setEdge(u, v, { weight: g.edge(e).weight + weight }); }); - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { result.setNode(v, { borderLeft: node.borderLeft[rank], borderRight: node.borderRight[rank], @@ -2457,12 +2457,12 @@ function buildLayerGraph(g, rank, relationship) { function createRootNode(g) { var v; - while (g.hasNode((v = uniqueId/* default */.Z('_root')))); + while (g.hasNode((v = uniqueId/* default */.c('_root')))); return v; } // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseZipObject.js /** * This base implementation of `_.zipObject` which assigns values using `assignFunc`. @@ -2509,19 +2509,19 @@ function baseZipObject(props, values, assignFunc) { * // => { 'a': 1, 'b': 2 } */ function zipObject(props, values) { - return _baseZipObject(props || [], values || [], _assignValue/* default */.Z); + return _baseZipObject(props || [], values || [], _assignValue/* default */.c); } /* harmony default export */ const lodash_es_zipObject = (zipObject); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseMap.js -var _baseMap = __webpack_require__(21018); +var _baseMap = __webpack_require__(90360); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSortBy.js /** * The base implementation of `_.sortBy` which uses `comparer` to define the @@ -2546,7 +2546,7 @@ function baseSortBy(array, comparer) { /* harmony default export */ const _baseSortBy = (baseSortBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_compareAscending.js @@ -2563,12 +2563,12 @@ function compareAscending(value, other) { var valIsDefined = value !== undefined, valIsNull = value === null, valIsReflexive = value === value, - valIsSymbol = (0,isSymbol/* default */.Z)(value); + valIsSymbol = (0,isSymbol/* default */.c)(value); var othIsDefined = other !== undefined, othIsNull = other === null, othIsReflexive = other === other, - othIsSymbol = (0,isSymbol/* default */.Z)(other); + othIsSymbol = (0,isSymbol/* default */.c)(other); if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) || (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) || @@ -2658,23 +2658,23 @@ function compareMultiple(object, other, orders) { */ function baseOrderBy(collection, iteratees, orders) { if (iteratees.length) { - iteratees = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { - if ((0,isArray/* default */.Z)(iteratee)) { + iteratees = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { + if ((0,isArray/* default */.c)(iteratee)) { return function(value) { - return (0,_baseGet/* default */.Z)(value, iteratee.length === 1 ? iteratee[0] : iteratee); + return (0,_baseGet/* default */.c)(value, iteratee.length === 1 ? iteratee[0] : iteratee); } } return iteratee; }); } else { - iteratees = [identity/* default */.Z]; + iteratees = [identity/* default */.c]; } var index = -1; - iteratees = (0,_arrayMap/* default */.Z)(iteratees, (0,_baseUnary/* default */.Z)(_baseIteratee/* default */.Z)); + iteratees = (0,_arrayMap/* default */.c)(iteratees, (0,_baseUnary/* default */.c)(_baseIteratee/* default */.c)); - var result = (0,_baseMap/* default */.Z)(collection, function(value, key, collection) { - var criteria = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { + var result = (0,_baseMap/* default */.c)(collection, function(value, key, collection) { + var criteria = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { return iteratee(value); }); return { 'criteria': criteria, 'index': ++index, 'value': value }; @@ -2688,9 +2688,9 @@ function baseOrderBy(collection, iteratees, orders) { /* harmony default export */ const _baseOrderBy = (baseOrderBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/sortBy.js @@ -2726,17 +2726,17 @@ var _isIterateeCall = __webpack_require__(50439); * _.sortBy(users, ['user', 'age']); * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]] */ -var sortBy = (0,_baseRest/* default */.Z)(function(collection, iteratees) { +var sortBy = (0,_baseRest/* default */.c)(function(collection, iteratees) { if (collection == null) { return []; } var length = iteratees.length; - if (length > 1 && (0,_isIterateeCall/* default */.Z)(collection, iteratees[0], iteratees[1])) { + if (length > 1 && (0,_isIterateeCall/* default */.c)(collection, iteratees[0], iteratees[1])) { iteratees = []; - } else if (length > 2 && (0,_isIterateeCall/* default */.Z)(iteratees[0], iteratees[1], iteratees[2])) { + } else if (length > 2 && (0,_isIterateeCall/* default */.c)(iteratees[0], iteratees[1], iteratees[2])) { iteratees = [iteratees[0]]; } - return _baseOrderBy(collection, (0,_baseFlatten/* default */.Z)(iteratees, 1), []); + return _baseOrderBy(collection, (0,_baseFlatten/* default */.c)(iteratees, 1), []); }); /* harmony default export */ const lodash_es_sortBy = (sortBy); @@ -2776,14 +2776,14 @@ function twoLayerCrossCount(g, northLayer, southLayer) { // their head in the south layer. var southPos = lodash_es_zipObject( southLayer, - map/* default */.Z(southLayer, function (v, i) { + map/* default */.c(southLayer, function (v, i) { return i; }) ); - var southEntries = flatten/* default */.Z( - map/* default */.Z(northLayer, function (v) { + var southEntries = flatten/* default */.c( + map/* default */.c(northLayer, function (v) { return lodash_es_sortBy( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return { pos: southPos[e.w], weight: g.edge(e).weight }; }), 'pos' @@ -2796,13 +2796,13 @@ function twoLayerCrossCount(g, northLayer, southLayer) { while (firstIndex < southLayer.length) firstIndex <<= 1; var treeSize = 2 * firstIndex - 1; firstIndex -= 1; - var tree = map/* default */.Z(new Array(treeSize), function () { + var tree = map/* default */.c(new Array(treeSize), function () { return 0; }); // Calculate the weighted crossings var cc = 0; - forEach/* default */.Z( + forEach/* default */.c( // @ts-expect-error southEntries.forEach(function (entry) { var index = entry.pos + firstIndex; @@ -2843,30 +2843,30 @@ function twoLayerCrossCount(g, northLayer, southLayer) { */ function initOrder(g) { var visited = {}; - var simpleNodes = filter/* default */.Z(g.nodes(), function (v) { + var simpleNodes = filter/* default */.c(g.nodes(), function (v) { return !g.children(v).length; }); var maxRank = lodash_es_max( - map/* default */.Z(simpleNodes, function (v) { + map/* default */.c(simpleNodes, function (v) { return g.node(v).rank; }) ); - var layers = map/* default */.Z(range/* default */.Z(maxRank + 1), function () { + var layers = map/* default */.c(range/* default */.c(maxRank + 1), function () { return []; }); function dfs(v) { - if (has/* default */.Z(visited, v)) return; + if (has/* default */.c(visited, v)) return; visited[v] = true; var node = g.node(v); layers[node.rank].push(v); - forEach/* default */.Z(g.successors(v), dfs); + forEach/* default */.c(g.successors(v), dfs); } var orderedVs = lodash_es_sortBy(simpleNodes, function (v) { return g.node(v).rank; }); - forEach/* default */.Z(orderedVs, dfs); + forEach/* default */.c(orderedVs, dfs); return layers; } @@ -2877,12 +2877,12 @@ function initOrder(g) { function barycenter(g, movable) { - return map/* default */.Z(movable, function (v) { + return map/* default */.c(movable, function (v) { var inV = g.inEdges(v); if (!inV.length) { return { v: v }; } else { - var result = reduce/* default */.Z( + var result = reduce/* default */.c( inV, function (acc, e) { var edge = g.edge(e), @@ -2936,7 +2936,7 @@ function barycenter(g, movable) { */ function resolveConflicts(entries, cg) { var mappedEntries = {}; - forEach/* default */.Z(entries, function (entry, i) { + forEach/* default */.c(entries, function (entry, i) { var tmp = (mappedEntries[entry.v] = { indegree: 0, in: [], @@ -2944,7 +2944,7 @@ function resolveConflicts(entries, cg) { vs: [entry.v], i: i, }); - if (!isUndefined/* default */.Z(entry.barycenter)) { + if (!isUndefined/* default */.c(entry.barycenter)) { // @ts-expect-error tmp.barycenter = entry.barycenter; // @ts-expect-error @@ -2952,16 +2952,16 @@ function resolveConflicts(entries, cg) { } }); - forEach/* default */.Z(cg.edges(), function (e) { + forEach/* default */.c(cg.edges(), function (e) { var entryV = mappedEntries[e.v]; var entryW = mappedEntries[e.w]; - if (!isUndefined/* default */.Z(entryV) && !isUndefined/* default */.Z(entryW)) { + if (!isUndefined/* default */.c(entryV) && !isUndefined/* default */.c(entryW)) { entryW.indegree++; entryV.out.push(mappedEntries[e.w]); } }); - var sourceSet = filter/* default */.Z(mappedEntries, function (entry) { + var sourceSet = filter/* default */.c(mappedEntries, function (entry) { // @ts-expect-error return !entry.indegree; }); @@ -2978,8 +2978,8 @@ function doResolveConflicts(sourceSet) { return; } if ( - isUndefined/* default */.Z(uEntry.barycenter) || - isUndefined/* default */.Z(vEntry.barycenter) || + isUndefined/* default */.c(uEntry.barycenter) || + isUndefined/* default */.c(vEntry.barycenter) || uEntry.barycenter >= vEntry.barycenter ) { mergeEntries(vEntry, uEntry); @@ -2999,16 +2999,16 @@ function doResolveConflicts(sourceSet) { while (sourceSet.length) { var entry = sourceSet.pop(); entries.push(entry); - forEach/* default */.Z(entry['in'].reverse(), handleIn(entry)); - forEach/* default */.Z(entry.out, handleOut(entry)); + forEach/* default */.c(entry['in'].reverse(), handleIn(entry)); + forEach/* default */.c(entry.out, handleOut(entry)); } - return map/* default */.Z( - filter/* default */.Z(entries, function (entry) { + return map/* default */.c( + filter/* default */.c(entries, function (entry) { return !entry.merged; }), function (entry) { - return pick/* default */.Z(entry, ['vs', 'i', 'barycenter', 'weight']); + return pick/* default */.c(entry, ['vs', 'i', 'barycenter', 'weight']); } ); } @@ -3042,7 +3042,7 @@ function mergeEntries(target, source) { function sort(entries, biasRight) { var parts = partition(entries, function (entry) { - return has/* default */.Z(entry, 'barycenter'); + return has/* default */.c(entry, 'barycenter'); }); var sortable = parts.lhs, unsortable = lodash_es_sortBy(parts.rhs, function (entry) { @@ -3057,7 +3057,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); - forEach/* default */.Z(sortable, function (entry) { + forEach/* default */.c(sortable, function (entry) { vsIndex += entry.vs.length; vs.push(entry.vs); sum += entry.barycenter * entry.weight; @@ -3065,7 +3065,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); }); - var result = { vs: flatten/* default */.Z(vs) }; + var result = { vs: flatten/* default */.c(vs) }; if (weight) { result.barycenter = sum / weight; result.weight = weight; @@ -3111,17 +3111,17 @@ function sortSubgraph(g, v, cg, biasRight) { var subgraphs = {}; if (bl) { - movable = filter/* default */.Z(movable, function (w) { + movable = filter/* default */.c(movable, function (w) { return w !== bl && w !== br; }); } var barycenters = barycenter(g, movable); - forEach/* default */.Z(barycenters, function (entry) { + forEach/* default */.c(barycenters, function (entry) { if (g.children(entry.v).length) { var subgraphResult = sortSubgraph(g, entry.v, cg, biasRight); subgraphs[entry.v] = subgraphResult; - if (has/* default */.Z(subgraphResult, 'barycenter')) { + if (has/* default */.c(subgraphResult, 'barycenter')) { mergeBarycenters(entry, subgraphResult); } } @@ -3133,11 +3133,11 @@ function sortSubgraph(g, v, cg, biasRight) { var result = sort(entries, biasRight); if (bl) { - result.vs = flatten/* default */.Z([bl, result.vs, br]); + result.vs = flatten/* default */.c([bl, result.vs, br]); if (g.predecessors(bl).length) { var blPred = g.node(g.predecessors(bl)[0]), brPred = g.node(g.predecessors(br)[0]); - if (!has/* default */.Z(result, 'barycenter')) { + if (!has/* default */.c(result, 'barycenter')) { result.barycenter = 0; result.weight = 0; } @@ -3151,8 +3151,8 @@ function sortSubgraph(g, v, cg, biasRight) { } function expandSubgraphs(entries, subgraphs) { - forEach/* default */.Z(entries, function (entry) { - entry.vs = flatten/* default */.Z( + forEach/* default */.c(entries, function (entry) { + entry.vs = flatten/* default */.c( entry.vs.map(function (v) { if (subgraphs[v]) { return subgraphs[v].vs; @@ -3164,7 +3164,7 @@ function expandSubgraphs(entries, subgraphs) { } function mergeBarycenters(target, other) { - if (!isUndefined/* default */.Z(target.barycenter)) { + if (!isUndefined/* default */.c(target.barycenter)) { target.barycenter = (target.barycenter * target.weight + other.barycenter * other.weight) / (target.weight + other.weight); @@ -3204,8 +3204,8 @@ function mergeBarycenters(target, other) { */ function order(g) { var maxRank = util_maxRank(g), - downLayerGraphs = buildLayerGraphs(g, range/* default */.Z(1, maxRank + 1), 'inEdges'), - upLayerGraphs = buildLayerGraphs(g, range/* default */.Z(maxRank - 1, -1, -1), 'outEdges'); + downLayerGraphs = buildLayerGraphs(g, range/* default */.c(1, maxRank + 1), 'inEdges'), + upLayerGraphs = buildLayerGraphs(g, range/* default */.c(maxRank - 1, -1, -1), 'outEdges'); var layering = initOrder(g); assignOrder(g, layering); @@ -3229,17 +3229,17 @@ function order(g) { } function buildLayerGraphs(g, ranks, relationship) { - return map/* default */.Z(ranks, function (rank) { + return map/* default */.c(ranks, function (rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { - var cg = new graphlib/* Graph */.k(); - forEach/* default */.Z(layerGraphs, function (lg) { + var cg = new graphlib/* Graph */.M(); + forEach/* default */.c(layerGraphs, function (lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); - forEach/* default */.Z(sorted.vs, function (v, i) { + forEach/* default */.c(sorted.vs, function (v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); @@ -3247,8 +3247,8 @@ function sweepLayerGraphs(layerGraphs, biasRight) { } function assignOrder(g, layering) { - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, i) { g.node(v).order = i; }); }); @@ -3262,7 +3262,7 @@ function assignOrder(g, layering) { function parentDummyChains(g) { var postorderNums = parent_dummy_chains_postorder(g); - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var edgeObj = node.edgeObj; var pathData = findPath(g, postorderNums, edgeObj.v, edgeObj.w); @@ -3334,16 +3334,16 @@ function parent_dummy_chains_postorder(g) { function dfs(v) { var low = lim; - forEach/* default */.Z(g.children(v), dfs); + forEach/* default */.c(g.children(v), dfs); result[v] = { low: low, lim: lim++ }; } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); return result; } // EXTERNAL MODULE: ./node_modules/lodash-es/_castFunction.js -var _castFunction = __webpack_require__(68882); +var _castFunction = __webpack_require__(12176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forOwn.js @@ -3377,15 +3377,15 @@ var _castFunction = __webpack_require__(68882); * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forOwn(object, iteratee) { - return object && (0,_baseForOwn/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee)); + return object && (0,_baseForOwn/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee)); } /* harmony default export */ const lodash_es_forOwn = (forOwn); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFor.js + 1 modules -var _baseFor = __webpack_require__(61395); +var _baseFor = __webpack_require__(19004); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forIn.js @@ -3422,7 +3422,7 @@ var keysIn = __webpack_require__(32957); function forIn(object, iteratee) { return object == null ? object - : (0,_baseFor/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee), keysIn/* default */.Z); + : (0,_baseFor/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee), keysIn/* default */.c); } /* harmony default export */ const lodash_es_forIn = (forIn); @@ -3469,13 +3469,13 @@ function findType1Conflicts(g, layering) { prevLayerLength = prevLayer.length, lastNode = lodash_es_last(layer); - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var w = findOtherInnerSegmentNode(g, v), k1 = w ? g.node(w).order : prevLayerLength; if (w || v === lastNode) { - forEach/* default */.Z(layer.slice(scanPos, i + 1), function (scanNode) { - forEach/* default */.Z(g.predecessors(scanNode), function (u) { + forEach/* default */.c(layer.slice(scanPos, i + 1), function (scanNode) { + forEach/* default */.c(g.predecessors(scanNode), function (u) { var uLabel = g.node(u), uPos = uLabel.order; if ((uPos < k0 || k1 < uPos) && !(uLabel.dummy && g.node(scanNode).dummy)) { @@ -3492,7 +3492,7 @@ function findType1Conflicts(g, layering) { return layer; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3501,10 +3501,10 @@ function findType2Conflicts(g, layering) { function scan(south, southPos, southEnd, prevNorthBorder, nextNorthBorder) { var v; - forEach/* default */.Z(range/* default */.Z(southPos, southEnd), function (i) { + forEach/* default */.c(range/* default */.c(southPos, southEnd), function (i) { v = south[i]; if (g.node(v).dummy) { - forEach/* default */.Z(g.predecessors(v), function (u) { + forEach/* default */.c(g.predecessors(v), function (u) { var uNode = g.node(u); if (uNode.dummy && (uNode.order < prevNorthBorder || uNode.order > nextNorthBorder)) { addConflict(conflicts, u, v); @@ -3519,7 +3519,7 @@ function findType2Conflicts(g, layering) { nextNorthPos, southPos = 0; - forEach/* default */.Z(south, function (v, southLookahead) { + forEach/* default */.c(south, function (v, southLookahead) { if (g.node(v).dummy === 'border') { var predecessors = g.predecessors(v); if (predecessors.length) { @@ -3536,7 +3536,7 @@ function findType2Conflicts(g, layering) { return south; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3568,7 +3568,7 @@ function hasConflict(conflicts, v, w) { v = w; w = tmp; } - return has/* default */.Z(conflicts[v], w); + return has/* default */.c(conflicts[v], w); } /* @@ -3587,17 +3587,17 @@ function verticalAlignment(g, layering, conflicts, neighborFn) { // We cache the position here based on the layering because the graph and // layering may be out of sync. The layering matrix is manipulated to // generate different extreme alignments. - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, order) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, order) { root[v] = v; align[v] = v; pos[v] = order; }); }); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var prevIdx = -1; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var ws = neighborFn(v); if (ws.length) { ws = lodash_es_sortBy(ws, function (w) { @@ -3669,7 +3669,7 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { iterate(pass2, blockG.successors.bind(blockG)); // Assign x coordinates to all nodes - forEach/* default */.Z(align, function (v) { + forEach/* default */.c(align, function (v) { xs[v] = xs[root[v]]; }); @@ -3677,13 +3677,13 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { } function buildBlockGraph(g, layering, root, reverseSep) { - var blockGraph = new graphlib/* Graph */.k(), + var blockGraph = new graphlib/* Graph */.M(), graphLabel = g.graph(), sepFn = sep(graphLabel.nodesep, graphLabel.edgesep, reverseSep); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var u; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var vRoot = root[v]; blockGraph.setNode(vRoot); if (u) { @@ -3702,7 +3702,7 @@ function buildBlockGraph(g, layering, root, reverseSep) { * Returns the alignment that has the smallest width of the given alignments. */ function findSmallestWidthAlignment(g, xss) { - return lodash_es_minBy(values/* default */.Z(xss), function (xs) { + return lodash_es_minBy(values/* default */.c(xss), function (xs) { var max = Number.NEGATIVE_INFINITY; var min = Number.POSITIVE_INFINITY; @@ -3725,18 +3725,18 @@ function findSmallestWidthAlignment(g, xss) { * coordinate of the smallest width alignment. */ function alignCoordinates(xss, alignTo) { - var alignToVals = values/* default */.Z(alignTo), + var alignToVals = values/* default */.c(alignTo), alignToMin = lodash_es_min(alignToVals), alignToMax = lodash_es_max(alignToVals); - forEach/* default */.Z(['u', 'd'], function (vert) { - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + forEach/* default */.c(['l', 'r'], function (horiz) { var alignment = vert + horiz, xs = xss[alignment], delta; if (xs === alignTo) return; - var xsVals = values/* default */.Z(xs); + var xsVals = values/* default */.c(xs); delta = horiz === 'l' ? alignToMin - lodash_es_min(xsVals) : alignToMax - lodash_es_max(xsVals); if (delta) { @@ -3753,7 +3753,7 @@ function balance(xss, align) { if (align) { return xss[align.toLowerCase()][v]; } else { - var xs = lodash_es_sortBy(map/* default */.Z(xss, v)); + var xs = lodash_es_sortBy(map/* default */.c(xss, v)); return (xs[1] + xs[2]) / 2; } }); @@ -3761,16 +3761,16 @@ function balance(xss, align) { function positionX(g) { var layering = buildLayerMatrix(g); - var conflicts = merge/* default */.Z(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); + var conflicts = merge/* default */.c(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); var xss = {}; var adjustedLayering; - forEach/* default */.Z(['u', 'd'], function (vert) { - adjustedLayering = vert === 'u' ? layering : values/* default */.Z(layering).reverse(); - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + adjustedLayering = vert === 'u' ? layering : values/* default */.c(layering).reverse(); + forEach/* default */.c(['l', 'r'], function (horiz) { if (horiz === 'r') { - adjustedLayering = map/* default */.Z(adjustedLayering, function (inner) { - return values/* default */.Z(inner).reverse(); + adjustedLayering = map/* default */.c(adjustedLayering, function (inner) { + return values/* default */.c(inner).reverse(); }); } @@ -3799,7 +3799,7 @@ function sep(nodeSep, edgeSep, reverseSep) { var delta; sum += vLabel.width / 2; - if (has/* default */.Z(vLabel, 'labelpos')) { + if (has/* default */.c(vLabel, 'labelpos')) { switch (vLabel.labelpos.toLowerCase()) { case 'l': delta = -vLabel.width / 2; @@ -3818,7 +3818,7 @@ function sep(nodeSep, edgeSep, reverseSep) { sum += (wLabel.dummy ? edgeSep : nodeSep) / 2; sum += wLabel.width / 2; - if (has/* default */.Z(wLabel, 'labelpos')) { + if (has/* default */.c(wLabel, 'labelpos')) { switch (wLabel.labelpos.toLowerCase()) { case 'l': delta = wLabel.width / 2; @@ -3861,13 +3861,13 @@ function positionY(g) { var layering = buildLayerMatrix(g); var rankSep = g.graph().ranksep; var prevY = 0; - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var maxHeight = lodash_es_max( - map/* default */.Z(layer, function (v) { + map/* default */.c(layer, function (v) { return g.node(v).height; }) ); - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { g.node(v).y = prevY + maxHeight / 2; }); prevY += maxHeight + rankSep; @@ -3996,7 +3996,7 @@ function runLayout(g, time) { * attributes can influence layout. */ function updateInputGraph(inputGraph, layoutGraph) { - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var inputLabel = inputGraph.node(v); var layoutLabel = layoutGraph.node(v); @@ -4011,12 +4011,12 @@ function updateInputGraph(inputGraph, layoutGraph) { } }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var inputLabel = inputGraph.edge(e); var layoutLabel = layoutGraph.edge(e); inputLabel.points = layoutLabel.points; - if (has/* default */.Z(layoutLabel, 'x')) { + if (has/* default */.c(layoutLabel, 'x')) { inputLabel.x = layoutLabel.x; inputLabel.y = layoutLabel.y; } @@ -4049,24 +4049,24 @@ var edgeAttrs = ['labelpos']; * attributes can influence layout. */ function buildLayoutGraph(inputGraph) { - var g = new graphlib/* Graph */.k({ multigraph: true, compound: true }); + var g = new graphlib/* Graph */.M({ multigraph: true, compound: true }); var graph = canonicalize(inputGraph.graph()); g.setGraph( - merge/* default */.Z({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.Z(graph, graphAttrs)) + merge/* default */.c({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.c(graph, graphAttrs)) ); - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var node = canonicalize(inputGraph.node(v)); - g.setNode(v, defaults/* default */.Z(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); + g.setNode(v, defaults/* default */.c(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); g.setParent(v, inputGraph.parent(v)); }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var edge = canonicalize(inputGraph.edge(e)); g.setEdge( e, - merge/* default */.Z({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.Z(edge, edgeAttrs)) + merge/* default */.c({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.c(edge, edgeAttrs)) ); }); @@ -4084,7 +4084,7 @@ function buildLayoutGraph(inputGraph) { function makeSpaceForEdgeLabels(g) { var graph = g.graph(); graph.ranksep /= 2; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); edge.minlen *= 2; if (edge.labelpos.toLowerCase() !== 'c') { @@ -4104,7 +4104,7 @@ function makeSpaceForEdgeLabels(g) { * label's position. */ function injectEdgeLabelProxies(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.width && edge.height) { var v = g.node(e.v); @@ -4117,7 +4117,7 @@ function injectEdgeLabelProxies(g) { function assignRankMinMax(g) { var maxRank = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.borderTop) { node.minRank = g.node(node.borderTop).rank; @@ -4130,7 +4130,7 @@ function assignRankMinMax(g) { } function removeEdgeLabelProxies(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'edge-proxy') { g.edge(node.e).labelRank = node.rank; @@ -4159,12 +4159,12 @@ function translateGraph(g) { maxY = Math.max(maxY, y + h / 2); } - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { getExtremes(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { getExtremes(edge); } }); @@ -4172,22 +4172,22 @@ function translateGraph(g) { minX -= marginX; minY -= marginY; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); node.x -= minX; node.y -= minY; }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, function (p) { + forEach/* default */.c(edge.points, function (p) { p.x -= minX; p.y -= minY; }); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { edge.x -= minX; } - if (has/* default */.Z(edge, 'y')) { + if (has/* default */.c(edge, 'y')) { edge.y -= minY; } }); @@ -4197,7 +4197,7 @@ function translateGraph(g) { } function assignNodeIntersects(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); var nodeV = g.node(e.v); var nodeW = g.node(e.w); @@ -4216,9 +4216,9 @@ function assignNodeIntersects(g) { } function fixupEdgeLabelCoords(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { if (edge.labelpos === 'l' || edge.labelpos === 'r') { edge.width -= edge.labeloffset; } @@ -4235,7 +4235,7 @@ function fixupEdgeLabelCoords(g) { } function reversePointsForReversedEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.reversed) { edge.points.reverse(); @@ -4244,7 +4244,7 @@ function reversePointsForReversedEdges(g) { } function removeBorderNodes(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.children(v).length) { var node = g.node(v); var t = g.node(node.borderTop); @@ -4259,7 +4259,7 @@ function removeBorderNodes(g) { } }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.node(v).dummy === 'border') { g.removeNode(v); } @@ -4267,7 +4267,7 @@ function removeBorderNodes(g) { } function removeSelfEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { if (e.v === e.w) { var node = g.node(e.v); if (!node.selfEdges) { @@ -4281,12 +4281,12 @@ function removeSelfEdges(g) { function insertSelfEdges(g) { var layers = buildLayerMatrix(g); - forEach/* default */.Z(layers, function (layer) { + forEach/* default */.c(layers, function (layer) { var orderShift = 0; - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var node = g.node(v); node.order = i + orderShift; - forEach/* default */.Z(node.selfEdges, function (selfEdge) { + forEach/* default */.c(node.selfEdges, function (selfEdge) { addDummyNode( g, 'selfedge', @@ -4307,7 +4307,7 @@ function insertSelfEdges(g) { } function positionSelfEdges(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'selfedge') { var selfNode = g.node(node.e.v); @@ -4331,12 +4331,12 @@ function positionSelfEdges(g) { } function selectNumberAttrs(obj, attrs) { - return lodash_es_mapValues(pick/* default */.Z(obj, attrs), Number); + return lodash_es_mapValues(pick/* default */.c(obj, attrs), Number); } function canonicalize(attrs) { var newAttrs = {}; - forEach/* default */.Z(attrs, function (v, k) { + forEach/* default */.c(attrs, function (v, k) { newAttrs[k.toLowerCase()] = v; }); return newAttrs; @@ -4353,39 +4353,39 @@ function canonicalize(attrs) { /***/ }), -/***/ 52544: +/***/ 58048: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - k: () => (/* binding */ Graph) + M: () => (/* binding */ Graph) }); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/isFunction.js -var isFunction = __webpack_require__(73234); +var isFunction = __webpack_require__(59680); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); // EXTERNAL MODULE: ./node_modules/lodash-es/isEmpty.js -var isEmpty = __webpack_require__(79697); +var isEmpty = __webpack_require__(28796); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsNaN.js /** * The base implementation of `_.isNaN` without support for number objects. @@ -4442,7 +4442,7 @@ function strictIndexOf(array, value, fromIndex) { function baseIndexOf(array, value, fromIndex) { return value === value ? _strictIndexOf(array, value, fromIndex) - : (0,_baseFindIndex/* default */.Z)(array, _baseIsNaN, fromIndex); + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); } /* harmony default export */ const _baseIndexOf = (baseIndexOf); @@ -4491,9 +4491,9 @@ function arrayIncludesWith(array, value, comparator) { /* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); // EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js -var _Set = __webpack_require__(93203); +var _Set = __webpack_require__(61268); ;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js /** * This method returns `undefined`. @@ -4514,7 +4514,7 @@ function noop() { /* harmony default export */ const lodash_es_noop = (noop); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js @@ -4530,8 +4530,8 @@ var INFINITY = 1 / 0; * @param {Array} values The values to add to the set. * @returns {Object} Returns the new set. */ -var createSet = !(_Set/* default */.Z && (1 / (0,_setToArray/* default */.Z)(new _Set/* default */.Z([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { - return new _Set/* default */.Z(values); +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); }; /* harmony default export */ const _createSet = (createSet); @@ -4571,11 +4571,11 @@ function baseUniq(array, iteratee, comparator) { else if (length >= LARGE_ARRAY_SIZE) { var set = iteratee ? null : _createSet(array); if (set) { - return (0,_setToArray/* default */.Z)(set); + return (0,_setToArray/* default */.c)(set); } isCommon = false; - includes = _cacheHas/* default */.Z; - seen = new _SetCache/* default */.Z; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; } else { seen = iteratee ? [] : result; @@ -4611,7 +4611,7 @@ function baseUniq(array, iteratee, comparator) { /* harmony default export */ const _baseUniq = (baseUniq); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js -var isArrayLikeObject = __webpack_require__(836); +var isArrayLikeObject = __webpack_require__(19724); ;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js @@ -4634,16 +4634,16 @@ var isArrayLikeObject = __webpack_require__(836); * _.union([2], [1, 2]); * // => [2, 1] */ -var union = (0,_baseRest/* default */.Z)(function(arrays) { - return _baseUniq((0,_baseFlatten/* default */.Z)(arrays, 1, isArrayLikeObject/* default */.Z, true)); +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); }); /* harmony default export */ const lodash_es_union = (union); // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js @@ -4672,18 +4672,18 @@ var EDGE_KEY_DELIM = '\x01'; // we're going to get to a performant hashtable in JavaScript. class Graph { constructor(opts = {}) { - this._isDirected = has/* default */.Z(opts, 'directed') ? opts.directed : true; - this._isMultigraph = has/* default */.Z(opts, 'multigraph') ? opts.multigraph : false; - this._isCompound = has/* default */.Z(opts, 'compound') ? opts.compound : false; + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; // Label for the graph itself this._label = undefined; // Defaults to be set when creating a new node - this._defaultNodeLabelFn = constant/* default */.Z(undefined); + this._defaultNodeLabelFn = constant/* default */.c(undefined); // Defaults to be set when creating a new edge - this._defaultEdgeLabelFn = constant/* default */.Z(undefined); + this._defaultEdgeLabelFn = constant/* default */.c(undefined); // v -> label this._nodes = {}; @@ -4734,8 +4734,8 @@ class Graph { } /* === Node functions ========== */ setDefaultNodeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultNodeLabelFn = newDefault; return this; @@ -4744,24 +4744,24 @@ class Graph { return this._nodeCount; } nodes() { - return keys/* default */.Z(this._nodes); + return keys/* default */.c(this._nodes); } sources() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._in[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); }); } sinks() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._out[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); }); } setNodes(vs, value) { var args = arguments; var self = this; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (args.length > 1) { self.setNode(v, value); } else { @@ -4771,7 +4771,7 @@ class Graph { return this; } setNode(v, value) { - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { if (arguments.length > 1) { this._nodes[v] = value; } @@ -4796,11 +4796,11 @@ class Graph { return this._nodes[v]; } hasNode(v) { - return has/* default */.Z(this._nodes, v); + return has/* default */.c(this._nodes, v); } removeNode(v) { var self = this; - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { var removeEdge = function (e) { self.removeEdge(self._edgeObjs[e]); }; @@ -4808,15 +4808,15 @@ class Graph { if (this._isCompound) { this._removeFromParentsChildList(v); delete this._parent[v]; - forEach/* default */.Z(this.children(v), function (child) { + forEach/* default */.c(this.children(v), function (child) { self.setParent(child); }); delete this._children[v]; } - forEach/* default */.Z(keys/* default */.Z(this._in[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); delete this._in[v]; delete this._preds[v]; - forEach/* default */.Z(keys/* default */.Z(this._out[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); delete this._out[v]; delete this._sucs[v]; --this._nodeCount; @@ -4828,12 +4828,12 @@ class Graph { throw new Error('Cannot set parent in a non-compound graph'); } - if (isUndefined/* default */.Z(parent)) { + if (isUndefined/* default */.c(parent)) { parent = GRAPH_NODE; } else { // Coerce parent to string parent += ''; - for (var ancestor = parent; !isUndefined/* default */.Z(ancestor); ancestor = this.parent(ancestor)) { + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { if (ancestor === v) { throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); } @@ -4860,14 +4860,14 @@ class Graph { } } children(v) { - if (isUndefined/* default */.Z(v)) { + if (isUndefined/* default */.c(v)) { v = GRAPH_NODE; } if (this._isCompound) { var children = this._children[v]; if (children) { - return keys/* default */.Z(children); + return keys/* default */.c(children); } } else if (v === GRAPH_NODE) { return this.nodes(); @@ -4878,13 +4878,13 @@ class Graph { predecessors(v) { var predsV = this._preds[v]; if (predsV) { - return keys/* default */.Z(predsV); + return keys/* default */.c(predsV); } } successors(v) { var sucsV = this._sucs[v]; if (sucsV) { - return keys/* default */.Z(sucsV); + return keys/* default */.c(sucsV); } } neighbors(v) { @@ -4913,13 +4913,13 @@ class Graph { copy.setGraph(this.graph()); var self = this; - forEach/* default */.Z(this._nodes, function (value, v) { + forEach/* default */.c(this._nodes, function (value, v) { if (filter(v)) { copy.setNode(v, value); } }); - forEach/* default */.Z(this._edgeObjs, function (e) { + forEach/* default */.c(this._edgeObjs, function (e) { // @ts-expect-error if (copy.hasNode(e.v) && copy.hasNode(e.w)) { copy.setEdge(e, self.edge(e)); @@ -4940,7 +4940,7 @@ class Graph { } if (this._isCompound) { - forEach/* default */.Z(copy.nodes(), function (v) { + forEach/* default */.c(copy.nodes(), function (v) { copy.setParent(v, findParent(v)); }); } @@ -4949,8 +4949,8 @@ class Graph { } /* === Edge functions ========== */ setDefaultEdgeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultEdgeLabelFn = newDefault; return this; @@ -4959,12 +4959,12 @@ class Graph { return this._edgeCount; } edges() { - return values/* default */.Z(this._edgeObjs); + return values/* default */.c(this._edgeObjs); } setPath(vs, value) { var self = this; var args = arguments; - reduce/* default */.Z(vs, function (v, w) { + reduce/* default */.c(vs, function (v, w) { if (args.length > 1) { self.setEdge(v, w, value); } else { @@ -5003,19 +5003,19 @@ class Graph { v = '' + v; w = '' + w; - if (!isUndefined/* default */.Z(name)) { + if (!isUndefined/* default */.c(name)) { name = '' + name; } var e = edgeArgsToId(this._isDirected, v, w, name); - if (has/* default */.Z(this._edgeLabels, e)) { + if (has/* default */.c(this._edgeLabels, e)) { if (valueSpecified) { this._edgeLabels[e] = value; } return this; } - if (!isUndefined/* default */.Z(name) && !this._isMultigraph) { + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { throw new Error('Cannot set a named edge when isMultigraph = false'); } @@ -5053,7 +5053,7 @@ class Graph { arguments.length === 1 ? edgeObjToId(this._isDirected, arguments[0]) : edgeArgsToId(this._isDirected, v, w, name); - return has/* default */.Z(this._edgeLabels, e); + return has/* default */.c(this._edgeLabels, e); } removeEdge(v, w, name) { var e = @@ -5077,11 +5077,11 @@ class Graph { inEdges(v, u) { var inV = this._in[v]; if (inV) { - var edges = values/* default */.Z(inV); + var edges = values/* default */.c(inV); if (!u) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.v === u; }); } @@ -5089,11 +5089,11 @@ class Graph { outEdges(v, w) { var outV = this._out[v]; if (outV) { - var edges = values/* default */.Z(outV); + var edges = values/* default */.c(outV); if (!w) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.w === w; }); } @@ -5134,7 +5134,7 @@ function edgeArgsToId(isDirected, v_, w_, name) { v = w; w = tmp; } - return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.Z(name) ? DEFAULT_EDGE_NAME : name); + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); } function edgeArgsToObj(isDirected, v_, w_, name) { @@ -5159,14 +5159,14 @@ function edgeObjToId(isDirected, edgeObj) { /***/ }), -/***/ 45625: +/***/ 95536: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ k: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.k) +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) /* harmony export */ }); /* unused harmony export version */ -/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(52544); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); // Includes only the "core" of graphlib @@ -5178,17 +5178,17 @@ const version = '2.1.9-pre'; /***/ }), -/***/ 63001: +/***/ 34528: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _SetCache) + c: () => (/* binding */ _SetCache) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules -var _MapCache = __webpack_require__(37834); +var _MapCache = __webpack_require__(86320); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; @@ -5243,7 +5243,7 @@ function SetCache(values) { var index = -1, length = values == null ? 0 : values.length; - this.__data__ = new _MapCache/* default */.Z; + this.__data__ = new _MapCache/* default */.c; while (++index < length) { this.add(values[index]); } @@ -5258,11 +5258,11 @@ SetCache.prototype.has = _setCacheHas; /***/ }), -/***/ 76579: +/***/ 56812: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.forEach` for arrays without support for @@ -5290,11 +5290,11 @@ function arrayEach(array, iteratee) { /***/ }), -/***/ 68774: +/***/ 46091: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.filter` for arrays without support for @@ -5325,11 +5325,11 @@ function arrayFilter(array, predicate) { /***/ }), -/***/ 74073: +/***/ 1304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.map` for arrays without support for iteratee @@ -5356,11 +5356,11 @@ function arrayMap(array, iteratee) { /***/ }), -/***/ 58694: +/***/ 25072: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Appends the elements of `values` to `array`. @@ -5386,25 +5386,25 @@ function arrayPush(array, values) { /***/ }), -/***/ 48451: +/***/ 48492: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseClone) + c: () => (/* binding */ _baseClone) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js -var _arrayEach = __webpack_require__(76579); +var _arrayEach = __webpack_require__(56812); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js -var _copyObject = __webpack_require__(31899); +var _copyObject = __webpack_require__(58904); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js @@ -5419,13 +5419,13 @@ var keys = __webpack_require__(17179); * @returns {Object} Returns `object`. */ function baseAssign(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keys/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); } /* harmony default export */ const _baseAssign = (baseAssign); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js @@ -5440,17 +5440,17 @@ var keysIn = __webpack_require__(32957); * @returns {Object} Returns `object`. */ function baseAssignIn(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keysIn/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); } /* harmony default export */ const _baseAssignIn = (baseAssignIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js -var _cloneBuffer = __webpack_require__(91050); +var _cloneBuffer = __webpack_require__(86656); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js -var _copyArray = __webpack_require__(87215); +var _copyArray = __webpack_require__(32488); // EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js -var _getSymbols = __webpack_require__(95695); +var _getSymbols = __webpack_require__(10772); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js @@ -5464,17 +5464,17 @@ var _getSymbols = __webpack_require__(95695); * @returns {Object} Returns `object`. */ function copySymbols(source, object) { - return (0,_copyObject/* default */.Z)(source, (0,_getSymbols/* default */.Z)(source), object); + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); } /* harmony default export */ const _copySymbols = (copySymbols); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js -var _getPrototype = __webpack_require__(12513); +var _getPrototype = __webpack_require__(75388); // EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js -var stubArray = __webpack_require__(60532); +var stubArray = __webpack_require__(41716); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js @@ -5491,11 +5491,11 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(object) { +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { var result = []; while (object) { - (0,_arrayPush/* default */.Z)(result, (0,_getSymbols/* default */.Z)(object)); - object = (0,_getPrototype/* default */.Z)(object); + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); } return result; }; @@ -5515,15 +5515,15 @@ var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(objec * @returns {Object} Returns `object`. */ function copySymbolsIn(source, object) { - return (0,_copyObject/* default */.Z)(source, _getSymbolsIn(source), object); + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); } /* harmony default export */ const _copySymbolsIn = (copySymbolsIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js -var _baseGetAllKeys = __webpack_require__(63327); +var _baseGetAllKeys = __webpack_require__(30176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js @@ -5538,13 +5538,13 @@ var _baseGetAllKeys = __webpack_require__(63327); * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { - return (0,_baseGetAllKeys/* default */.Z)(object, keysIn/* default */.Z, _getSymbolsIn); + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); } /* harmony default export */ const _getAllKeysIn = (getAllKeysIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js /** Used for built-in method references. */ var objectProto = Object.prototype; @@ -5574,7 +5574,7 @@ function initCloneArray(array) { /* harmony default export */ const _initCloneArray = (initCloneArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js -var _cloneArrayBuffer = __webpack_require__(41884); +var _cloneArrayBuffer = __webpack_require__(40976); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js @@ -5587,7 +5587,7 @@ var _cloneArrayBuffer = __webpack_require__(41884); * @returns {Object} Returns the cloned data view. */ function cloneDataView(dataView, isDeep) { - var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.Z)(dataView.buffer) : dataView.buffer; + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); } @@ -5613,12 +5613,12 @@ function cloneRegExp(regexp) { /* harmony default export */ const _cloneRegExp = (cloneRegExp); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -5635,7 +5635,7 @@ function cloneSymbol(symbol) { /* harmony default export */ const _cloneSymbol = (cloneSymbol); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js -var _cloneTypedArray = __webpack_require__(12701); +var _cloneTypedArray = __webpack_require__(70552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js @@ -5681,7 +5681,7 @@ function initCloneByTag(object, tag, isDeep) { var Ctor = object.constructor; switch (tag) { case arrayBufferTag: - return (0,_cloneArrayBuffer/* default */.Z)(object); + return (0,_cloneArrayBuffer/* default */.c)(object); case boolTag: case dateTag: @@ -5693,7 +5693,7 @@ function initCloneByTag(object, tag, isDeep) { case float32Tag: case float64Tag: case int8Tag: case int16Tag: case int32Tag: case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: - return (0,_cloneTypedArray/* default */.Z)(object, isDeep); + return (0,_cloneTypedArray/* default */.c)(object, isDeep); case mapTag: return new Ctor; @@ -5716,13 +5716,13 @@ function initCloneByTag(object, tag, isDeep) { /* harmony default export */ const _initCloneByTag = (initCloneByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules -var _initCloneObject = __webpack_require__(73658); +var _initCloneObject = __webpack_require__(1684); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js @@ -5738,22 +5738,22 @@ var _baseIsMap_mapTag = '[object Map]'; * @returns {boolean} Returns `true` if `value` is a map, else `false`. */ function baseIsMap(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsMap_mapTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; } /* harmony default export */ const _baseIsMap = (baseIsMap); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); // EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js -var _nodeUtil = __webpack_require__(98351); +var _nodeUtil = __webpack_require__(17576); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js /* Node.js helper references. */ -var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; /** * Checks if `value` is classified as a `Map` object. @@ -5772,12 +5772,12 @@ var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; * _.isMap(new WeakMap); * // => false */ -var isMap = nodeIsMap ? (0,_baseUnary/* default */.Z)(nodeIsMap) : _baseIsMap; +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; /* harmony default export */ const lodash_es_isMap = (isMap); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js @@ -5793,7 +5793,7 @@ var _baseIsSet_setTag = '[object Set]'; * @returns {boolean} Returns `true` if `value` is a set, else `false`. */ function baseIsSet(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsSet_setTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; } /* harmony default export */ const _baseIsSet = (baseIsSet); @@ -5804,7 +5804,7 @@ function baseIsSet(value) { /* Node.js helper references. */ -var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; /** * Checks if `value` is classified as a `Set` object. @@ -5823,7 +5823,7 @@ var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; * _.isSet(new WeakSet); * // => false */ -var isSet = nodeIsSet ? (0,_baseUnary/* default */.Z)(nodeIsSet) : _baseIsSet; +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; /* harmony default export */ const lodash_es_isSet = (isSet); @@ -5929,24 +5929,24 @@ function baseClone(value, bitmask, customizer, key, object, stack) { if (result !== undefined) { return result; } - if (!(0,isObject/* default */.Z)(value)) { + if (!(0,isObject/* default */.c)(value)) { return value; } - var isArr = (0,isArray/* default */.Z)(value); + var isArr = (0,isArray/* default */.c)(value); if (isArr) { result = _initCloneArray(value); if (!isDeep) { - return (0,_copyArray/* default */.Z)(value, result); + return (0,_copyArray/* default */.c)(value, result); } } else { - var tag = (0,_getTag/* default */.Z)(value), + var tag = (0,_getTag/* default */.c)(value), isFunc = tag == funcTag || tag == genTag; - if ((0,isBuffer/* default */.Z)(value)) { - return (0,_cloneBuffer/* default */.Z)(value, isDeep); + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); } if (tag == objectTag || tag == argsTag || (isFunc && !object)) { - result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.Z)(value); + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); if (!isDeep) { return isFlat ? _copySymbolsIn(value, _baseAssignIn(result, value)) @@ -5960,7 +5960,7 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } } // Check for circular references and return its corresponding clone. - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); var stacked = stack.get(value); if (stacked) { return stacked; @@ -5978,17 +5978,17 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } var keysFunc = isFull - ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.Z) - : (isFlat ? keysIn/* default */.Z : keys/* default */.Z); + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); var props = isArr ? undefined : keysFunc(value); - (0,_arrayEach/* default */.Z)(props || value, function(subValue, key) { + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { if (props) { key = subValue; subValue = value[key]; } // Recursively populate clone (susceptible to call stack limits). - (0,_assignValue/* default */.Z)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); }); return result; } @@ -5998,19 +5998,19 @@ function baseClone(value, bitmask, customizer, key, object, stack) { /***/ }), -/***/ 49811: +/***/ 92816: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseEach) + c: () => (/* binding */ _baseEach) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js @@ -6027,7 +6027,7 @@ function createBaseEach(eachFunc, fromRight) { if (collection == null) { return collection; } - if (!(0,isArrayLike/* default */.Z)(collection)) { + if (!(0,isArrayLike/* default */.c)(collection)) { return eachFunc(collection, iteratee); } var length = collection.length, @@ -6057,18 +6057,18 @@ function createBaseEach(eachFunc, fromRight) { * @param {Function} iteratee The function invoked per iteration. * @returns {Array|Object} Returns `collection`. */ -var baseEach = _createBaseEach(_baseForOwn/* default */.Z); +var baseEach = _createBaseEach(_baseForOwn/* default */.c); /* harmony default export */ const _baseEach = (baseEach); /***/ }), -/***/ 21692: +/***/ 16428: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.findIndex` and `_.findLastIndex` without @@ -6098,30 +6098,30 @@ function baseFindIndex(array, predicate, fromIndex, fromRight) { /***/ }), -/***/ 10626: +/***/ 40571: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseFlatten) + c: () => (/* binding */ _baseFlatten) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules -var isArguments = __webpack_require__(29169); +var isArguments = __webpack_require__(59636); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js /** Built-in value references. */ -var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatSpreadable : undefined; +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; /** * Checks if `value` is a flattenable `arguments` object or array. @@ -6131,7 +6131,7 @@ var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatS * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { - return (0,isArray/* default */.Z)(value) || (0,isArguments/* default */.Z)(value) || + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } @@ -6166,7 +6166,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { - (0,_arrayPush/* default */.Z)(result, value); + (0,_arrayPush/* default */.c)(result, value); } } else if (!isStrict) { result[result.length] = value; @@ -6180,14 +6180,14 @@ function baseFlatten(array, depth, predicate, isStrict, result) { /***/ }), -/***/ 2693: +/***/ 79985: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(61395); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -6200,7 +6200,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { * @returns {Object} Returns `object`. */ function baseForOwn(object, iteratee) { - return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z); + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); @@ -6208,14 +6208,14 @@ function baseForOwn(object, iteratee) { /***/ }), -/***/ 13317: +/***/ 60604: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -6228,13 +6228,13 @@ function baseForOwn(object, iteratee) { * @returns {*} Returns the resolved value. */ function baseGet(object, path) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = 0, length = path.length; while (object != null && index < length) { - object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index++])]; + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; } return (index && index == length) ? object : undefined; } @@ -6244,14 +6244,14 @@ function baseGet(object, path) { /***/ }), -/***/ 63327: +/***/ 30176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(58694); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -6268,7 +6268,7 @@ function baseGet(object, path) { */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); - return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(result, symbolsFunc(object)); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); @@ -6276,19 +6276,19 @@ function baseGetAllKeys(object, keysFunc, symbolsFunc) { /***/ }), -/***/ 74765: +/***/ 91312: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseIteratee) + c: () => (/* binding */ _baseIteratee) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js /** * A specialized version of `_.some` for arrays without support for iteratee @@ -6315,7 +6315,7 @@ function arraySome(array, predicate) { /* harmony default export */ const _arraySome = (arraySome); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js @@ -6354,7 +6354,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { } var index = -1, result = true, - seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.Z : undefined; + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; stack.set(array, other); stack.set(other, array); @@ -6379,7 +6379,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { // Recursively compare arrays (susceptible to call stack limits). if (seen) { if (!_arraySome(other, function(othValue, othIndex) { - if (!(0,_cacheHas/* default */.Z)(seen, othIndex) && + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { return seen.push(othIndex); } @@ -6403,11 +6403,11 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalArrays = (equalArrays); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js -var _Uint8Array = __webpack_require__(84073); +var _Uint8Array = __webpack_require__(91392); // EXTERNAL MODULE: ./node_modules/lodash-es/eq.js -var eq = __webpack_require__(79651); +var eq = __webpack_require__(73048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js /** * Converts `map` to its key-value pairs. @@ -6429,7 +6429,7 @@ function mapToArray(map) { /* harmony default export */ const _mapToArray = (mapToArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js @@ -6457,7 +6457,7 @@ var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]'; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -6489,7 +6489,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case arrayBufferTag: if ((object.byteLength != other.byteLength) || - !equalFunc(new _Uint8Array/* default */.Z(object), new _Uint8Array/* default */.Z(other))) { + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { return false; } return true; @@ -6499,7 +6499,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case numberTag: // Coerce booleans to `1` or `0` and dates to milliseconds. // Invalid dates are coerced to `NaN`. - return (0,eq/* default */.Z)(+object, +other); + return (0,eq/* default */.c)(+object, +other); case errorTag: return object.name == other.name && object.message == other.message; @@ -6516,7 +6516,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case setTag: var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; - convert || (convert = _setToArray/* default */.Z); + convert || (convert = _setToArray/* default */.c); if (object.size != other.size && !isPartial) { return false; @@ -6545,7 +6545,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalByTag = (equalByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js @@ -6573,9 +6573,9 @@ var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; */ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, - objProps = (0,_getAllKeys/* default */.Z)(object), + objProps = (0,_getAllKeys/* default */.c)(object), objLength = objProps.length, - othProps = (0,_getAllKeys/* default */.Z)(other), + othProps = (0,_getAllKeys/* default */.c)(other), othLength = othProps.length; if (objLength != othLength && !isPartial) { @@ -6639,13 +6639,13 @@ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalObjects = (equalObjects); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules -var isTypedArray = __webpack_require__(18843); +var isTypedArray = __webpack_require__(93416); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js @@ -6685,10 +6685,10 @@ var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnPropert * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. */ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { - var objIsArr = (0,isArray/* default */.Z)(object), - othIsArr = (0,isArray/* default */.Z)(other), - objTag = objIsArr ? arrayTag : (0,_getTag/* default */.Z)(object), - othTag = othIsArr ? arrayTag : (0,_getTag/* default */.Z)(other); + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); objTag = objTag == argsTag ? objectTag : objTag; othTag = othTag == argsTag ? objectTag : othTag; @@ -6697,16 +6697,16 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { othIsObj = othTag == objectTag, isSameTag = objTag == othTag; - if (isSameTag && (0,isBuffer/* default */.Z)(object)) { - if (!(0,isBuffer/* default */.Z)(other)) { + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { return false; } objIsArr = true; objIsObj = false; } if (isSameTag && !objIsObj) { - stack || (stack = new _Stack/* default */.Z); - return (objIsArr || (0,isTypedArray/* default */.Z)(object)) + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); } @@ -6718,21 +6718,21 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other; - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); } } if (!isSameTag) { return false; } - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); } /* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js @@ -6755,7 +6755,7 @@ function baseIsEqual(value, other, bitmask, customizer, stack) { if (value === other) { return true; } - if (value == null || other == null || (!(0,isObjectLike/* default */.Z)(value) && !(0,isObjectLike/* default */.Z)(other))) { + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { return value !== value && other !== other; } return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); @@ -6810,7 +6810,7 @@ function baseIsMatch(object, source, matchData, customizer) { return false; } } else { - var stack = new _Stack/* default */.Z; + var stack = new _Stack/* default */.c; if (customizer) { var result = customizer(objValue, srcValue, key, object, source, stack); } @@ -6828,7 +6828,7 @@ function baseIsMatch(object, source, matchData, customizer) { /* harmony default export */ const _baseIsMatch = (baseIsMatch); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js @@ -6841,13 +6841,13 @@ var isObject = __webpack_require__(77226); * equality comparisons, else `false`. */ function isStrictComparable(value) { - return value === value && !(0,isObject/* default */.Z)(value); + return value === value && !(0,isObject/* default */.c)(value); } /* harmony default export */ const _isStrictComparable = (isStrictComparable); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js @@ -6860,7 +6860,7 @@ var keys = __webpack_require__(17179); * @returns {Array} Returns the match data of `object`. */ function getMatchData(object) { - var result = (0,keys/* default */.Z)(object), + var result = (0,keys/* default */.c)(object), length = result.length; while (length--) { @@ -6921,7 +6921,7 @@ function baseMatches(source) { /* harmony default export */ const _baseMatches = (baseMatches); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); ;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js @@ -6951,18 +6951,18 @@ var _baseGet = __webpack_require__(13317); * // => 'default' */ function get(object, path, defaultValue) { - var result = object == null ? undefined : (0,_baseGet/* default */.Z)(object, path); + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); return result === undefined ? defaultValue : result; } /* harmony default export */ const lodash_es_get = (get); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js @@ -6985,13 +6985,13 @@ var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, * @returns {Function} Returns the new spec function. */ function baseMatchesProperty(path, srcValue) { - if ((0,_isKey/* default */.Z)(path) && _isStrictComparable(srcValue)) { - return _matchesStrictComparable((0,_toKey/* default */.Z)(path), srcValue); + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); } return function(object) { var objValue = lodash_es_get(object, path); return (objValue === undefined && objValue === srcValue) - ? (0,hasIn/* default */.Z)(object, path) + ? (0,hasIn/* default */.c)(object, path) : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); }; } @@ -6999,9 +6999,9 @@ function baseMatchesProperty(path, srcValue) { /* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js @@ -7014,7 +7014,7 @@ var _baseProperty = __webpack_require__(54193); */ function basePropertyDeep(path) { return function(object) { - return (0,_baseGet/* default */.Z)(object, path); + return (0,_baseGet/* default */.c)(object, path); }; } @@ -7049,7 +7049,7 @@ function basePropertyDeep(path) { * // => [1, 2] */ function property(path) { - return (0,_isKey/* default */.Z)(path) ? (0,_baseProperty/* default */.Z)((0,_toKey/* default */.Z)(path)) : _basePropertyDeep(path); + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); } /* harmony default export */ const lodash_es_property = (property); @@ -7075,10 +7075,10 @@ function baseIteratee(value) { return value; } if (value == null) { - return identity/* default */.Z; + return identity/* default */.c; } if (typeof value == 'object') { - return (0,isArray/* default */.Z)(value) + return (0,isArray/* default */.c)(value) ? _baseMatchesProperty(value[0], value[1]) : _baseMatches(value); } @@ -7090,14 +7090,14 @@ function baseIteratee(value) { /***/ }), -/***/ 21018: +/***/ 90360: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(49811); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(92816); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -7111,9 +7111,9 @@ function baseIteratee(value) { */ function baseMap(collection, iteratee) { var index = -1, - result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? Array(collection.length) : []; + result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? Array(collection.length) : []; - (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(collection, function(value, key, collection) { + (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(collection, function(value, key, collection) { result[++index] = iteratee(value, key, collection); }); return result; @@ -7124,11 +7124,11 @@ function baseMap(collection, iteratee) { /***/ }), -/***/ 54193: +/***/ 60472: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.property` without support for deep paths. @@ -7148,11 +7148,11 @@ function baseProperty(key) { /***/ }), -/***/ 59548: +/***/ 5960: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if a `cache` value for `key` exists. @@ -7171,13 +7171,13 @@ function cacheHas(cache, key) { /***/ }), -/***/ 68882: +/***/ 12176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69203); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); /** @@ -7188,7 +7188,7 @@ function cacheHas(cache, key) { * @returns {Function} Returns cast function. */ function castFunction(value) { - return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z; + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); @@ -7196,21 +7196,21 @@ function castFunction(value) { /***/ }), -/***/ 22823: +/***/ 58356: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _castPath) + c: () => (/* binding */ _castPath) }); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js -var memoize = __webpack_require__(42454); +var memoize = __webpack_require__(30528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js @@ -7226,7 +7226,7 @@ var MAX_MEMOIZE_SIZE = 500; * @returns {Function} Returns the new memoized function. */ function memoizeCapped(func) { - var result = (0,memoize/* default */.Z)(func, function(key) { + var result = (0,memoize/* default */.c)(func, function(key) { if (cache.size === MAX_MEMOIZE_SIZE) { cache.clear(); } @@ -7269,7 +7269,7 @@ var stringToPath = _memoizeCapped(function(string) { /* harmony default export */ const _stringToPath = (stringToPath); // EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules -var lodash_es_toString = __webpack_require__(50751); +var lodash_es_toString = __webpack_require__(68019); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js @@ -7285,10 +7285,10 @@ var lodash_es_toString = __webpack_require__(50751); * @returns {Array} Returns the cast property path array. */ function castPath(value, object) { - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { return value; } - return (0,_isKey/* default */.Z)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.Z)(value)); + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); } /* harmony default export */ const _castPath = (castPath); @@ -7296,15 +7296,15 @@ function castPath(value, object) { /***/ }), -/***/ 1808: +/***/ 22980: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(63327); -/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95695); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -7317,7 +7317,7 @@ function castPath(value, object) { * @returns {Array} Returns the array of property names and symbols. */ function getAllKeys(object) { - return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z); + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); @@ -7325,14 +7325,14 @@ function getAllKeys(object) { /***/ }), -/***/ 95695: +/***/ 10772: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(68774); -/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(60532); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); @@ -7352,12 +7352,12 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z : function(object) { +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { if (object == null) { return []; } object = Object(object); - return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(nativeGetSymbols(object), function(symbol) { + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { return propertyIsEnumerable.call(object, symbol); }); }; @@ -7367,18 +7367,18 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ /***/ }), -/***/ 16174: +/***/ 18872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(29169); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27771); -/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(56009); -/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(1656); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -7396,14 +7396,14 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ * @returns {boolean} Returns `true` if `path` exists, else `false`. */ function hasPath(object, path, hasFunc) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = -1, length = path.length, result = false; while (++index < length) { - var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index]); + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); if (!(result = object != null && hasFunc(object, key))) { break; } @@ -7413,8 +7413,8 @@ function hasPath(object, path, hasFunc) { return result; } length = object == null ? 0 : object.length; - return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(key, length) && - ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .Z)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .Z)(object)); + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); @@ -7422,14 +7422,14 @@ function hasPath(object, path, hasFunc) { /***/ }), -/***/ 99365: +/***/ 27544: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72714); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); @@ -7446,12 +7446,12 @@ var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, * @returns {boolean} Returns `true` if `value` is a property name, else `false`. */ function isKey(value, object) { - if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return false; } var type = typeof value; if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value)) { + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { return true; } return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || @@ -7463,11 +7463,11 @@ function isKey(value, object) { /***/ }), -/***/ 6545: +/***/ 68872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Converts `set` to an array of its values. @@ -7491,13 +7491,13 @@ function setToArray(set) { /***/ }), -/***/ 62281: +/***/ 32128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(72714); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); /** Used as references for various `Number` constants. */ @@ -7511,7 +7511,7 @@ var INFINITY = 1 / 0; * @returns {string|symbol} Returns the key. */ function toKey(value) { - if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return value; } var result = (value + ''); @@ -7523,16 +7523,16 @@ function toKey(value) { /***/ }), -/***/ 3688: +/***/ 12804: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69581); -/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(79651); -/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(50439); -/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32957); +/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(34880); +/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(73048); +/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(15552); +/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(97000); @@ -7565,20 +7565,20 @@ var hasOwnProperty = objectProto.hasOwnProperty; * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 }); * // => { 'a': 1, 'b': 2 } */ -var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(function(object, sources) { +var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(function(object, sources) { object = Object(object); var index = -1; var length = sources.length; var guard = length > 2 ? sources[2] : undefined; - if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(sources[0], sources[1], guard)) { + if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(sources[0], sources[1], guard)) { length = 1; } while (++index < length) { var source = sources[index]; - var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(source); + var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(source); var propsIndex = -1; var propsLength = props.length; @@ -7587,7 +7587,7 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) var value = object[key]; if (value === undefined || - ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { + ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { object[key] = source[key]; } } @@ -7601,19 +7601,19 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) /***/ }), -/***/ 13445: +/***/ 55720: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_filter) + c: () => (/* binding */ lodash_es_filter) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js -var _arrayFilter = __webpack_require__(68774); +var _arrayFilter = __webpack_require__(46091); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js @@ -7627,7 +7627,7 @@ var _baseEach = __webpack_require__(49811); */ function baseFilter(collection, predicate) { var result = []; - (0,_baseEach/* default */.Z)(collection, function(value, index, collection) { + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { if (predicate(value, index, collection)) { result.push(value); } @@ -7638,9 +7638,9 @@ function baseFilter(collection, predicate) { /* harmony default export */ const _baseFilter = (baseFilter); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js @@ -7689,8 +7689,8 @@ var isArray = __webpack_require__(27771); * // => objects for ['fred', 'barney'] */ function filter(collection, predicate) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayFilter/* default */.Z : _baseFilter; - return func(collection, (0,_baseIteratee/* default */.Z)(predicate, 3)); + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); } /* harmony default export */ const lodash_es_filter = (filter); @@ -7698,13 +7698,13 @@ function filter(collection, predicate) { /***/ }), -/***/ 27961: +/***/ 9552: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(10626); +/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(40571); /** @@ -7723,7 +7723,7 @@ function filter(collection, predicate) { */ function flatten(array) { var length = array == null ? 0 : array.length; - return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(array, 1) : []; + return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(array, 1) : []; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (flatten); @@ -7731,16 +7731,16 @@ function flatten(array) { /***/ }), -/***/ 70870: +/***/ 50080: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(76579); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(49811); -/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(68882); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -7777,8 +7777,8 @@ function flatten(array) { * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forEach(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); @@ -7786,13 +7786,13 @@ function forEach(collection, iteratee) { /***/ }), -/***/ 17452: +/***/ 7248: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_has) + c: () => (/* binding */ lodash_es_has) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js @@ -7817,7 +7817,7 @@ function baseHas(object, key) { /* harmony default export */ const _baseHas = (baseHas); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js @@ -7850,7 +7850,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function has(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHas); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); } /* harmony default export */ const lodash_es_has = (has); @@ -7858,13 +7858,13 @@ function has(object, path) { /***/ }), -/***/ 75487: +/***/ 73556: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_hasIn) + c: () => (/* binding */ lodash_es_hasIn) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js @@ -7883,7 +7883,7 @@ function baseHasIn(object, key) { /* harmony default export */ const _baseHasIn = (baseHasIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js @@ -7915,7 +7915,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function hasIn(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHasIn); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); } /* harmony default export */ const lodash_es_hasIn = (hasIn); @@ -7923,14 +7923,14 @@ function hasIn(object, path) { /***/ }), -/***/ 72714: +/***/ 46380: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(93589); -/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(18533); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); @@ -7956,7 +7956,7 @@ var symbolTag = '[object Symbol]'; */ function isSymbol(value) { return typeof value == 'symbol' || - ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value) == symbolTag); + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); @@ -7964,11 +7964,11 @@ function isSymbol(value) { /***/ }), -/***/ 49360: +/***/ 60372: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if `value` is `undefined`. @@ -7996,15 +7996,15 @@ function isUndefined(value) { /***/ }), -/***/ 17179: +/***/ 62420: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(87668); -/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(39473); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -8038,7 +8038,7 @@ function isUndefined(value) { * // => ['0', '1'] */ function keys(object) { - return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(object); + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); @@ -8046,16 +8046,16 @@ function keys(object) { /***/ }), -/***/ 43836: +/***/ 92696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(74073); -/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(74765); -/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(21018); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(1304); +/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(91312); +/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(90360); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8104,8 +8104,8 @@ function keys(object) { * // => ['barney', 'fred'] */ function map(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee, 3)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee, 3)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (map); @@ -8113,27 +8113,27 @@ function map(collection, iteratee) { /***/ }), -/***/ 61666: +/***/ 95108: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_pick) + c: () => (/* binding */ lodash_es_pick) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_castPath.js + 2 modules -var _castPath = __webpack_require__(22823); +var _castPath = __webpack_require__(58356); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIndex.js -var _isIndex = __webpack_require__(56009); +var _isIndex = __webpack_require__(748); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSet.js @@ -8152,10 +8152,10 @@ var _toKey = __webpack_require__(62281); * @returns {Object} Returns `object`. */ function baseSet(object, path, value, customizer) { - if (!(0,isObject/* default */.Z)(object)) { + if (!(0,isObject/* default */.c)(object)) { return object; } - path = (0,_castPath/* default */.Z)(path, object); + path = (0,_castPath/* default */.c)(path, object); var index = -1, length = path.length, @@ -8163,7 +8163,7 @@ function baseSet(object, path, value, customizer) { nested = object; while (nested != null && ++index < length) { - var key = (0,_toKey/* default */.Z)(path[index]), + var key = (0,_toKey/* default */.c)(path[index]), newValue = value; if (key === '__proto__' || key === 'constructor' || key === 'prototype') { @@ -8174,12 +8174,12 @@ function baseSet(object, path, value, customizer) { var objValue = nested[key]; newValue = customizer ? customizer(objValue, key, nested) : undefined; if (newValue === undefined) { - newValue = (0,isObject/* default */.Z)(objValue) + newValue = (0,isObject/* default */.c)(objValue) ? objValue - : ((0,_isIndex/* default */.Z)(path[index + 1]) ? [] : {}); + : ((0,_isIndex/* default */.c)(path[index + 1]) ? [] : {}); } } - (0,_assignValue/* default */.Z)(nested, key, newValue); + (0,_assignValue/* default */.c)(nested, key, newValue); nested = nested[key]; } return object; @@ -8208,10 +8208,10 @@ function basePickBy(object, paths, predicate) { while (++index < length) { var path = paths[index], - value = (0,_baseGet/* default */.Z)(object, path); + value = (0,_baseGet/* default */.c)(object, path); if (predicate(value, path)) { - _baseSet(result, (0,_castPath/* default */.Z)(path, object), value); + _baseSet(result, (0,_castPath/* default */.c)(path, object), value); } } return result; @@ -8220,7 +8220,7 @@ function basePickBy(object, paths, predicate) { /* harmony default export */ const _basePickBy = (basePickBy); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePick.js @@ -8236,18 +8236,18 @@ var hasIn = __webpack_require__(75487); */ function basePick(object, paths) { return _basePickBy(object, paths, function(value, path) { - return (0,hasIn/* default */.Z)(object, path); + return (0,hasIn/* default */.c)(object, path); }); } /* harmony default export */ const _basePick = (basePick); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/_overRest.js + 1 modules -var _overRest = __webpack_require__(81211); +var _overRest = __webpack_require__(10648); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToString.js + 2 modules -var _setToString = __webpack_require__(27227); +var _setToString = __webpack_require__(99669); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_flatRest.js @@ -8261,7 +8261,7 @@ var _setToString = __webpack_require__(27227); * @returns {Function} Returns the new function. */ function flatRest(func) { - return (0,_setToString/* default */.Z)((0,_overRest/* default */.Z)(func, undefined, flatten/* default */.Z), func + ''); + return (0,_setToString/* default */.c)((0,_overRest/* default */.c)(func, undefined, flatten/* default */.c), func + ''); } /* harmony default export */ const _flatRest = (flatRest); @@ -8296,13 +8296,13 @@ var pick = _flatRest(function(object, paths) { /***/ }), -/***/ 74379: +/***/ 52264: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_range) + c: () => (/* binding */ lodash_es_range) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseRange.js @@ -8336,9 +8336,9 @@ function baseRange(start, end, step, fromRight) { /* harmony default export */ const _baseRange = (baseRange); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createRange.js @@ -8353,18 +8353,18 @@ var toFinite = __webpack_require__(94099); */ function createRange(fromRight) { return function(start, end, step) { - if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.Z)(start, end, step)) { + if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.c)(start, end, step)) { end = step = undefined; } // Ensure the sign of `-0` is preserved. - start = (0,toFinite/* default */.Z)(start); + start = (0,toFinite/* default */.c)(start); if (end === undefined) { end = start; start = 0; } else { - end = (0,toFinite/* default */.Z)(end); + end = (0,toFinite/* default */.c)(end); } - step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.Z)(step); + step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.c)(step); return _baseRange(start, end, step, fromRight); }; } @@ -8422,13 +8422,13 @@ var range = _createRange(); /***/ }), -/***/ 92344: +/***/ 90460: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_reduce) + c: () => (/* binding */ lodash_es_reduce) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js @@ -8460,9 +8460,9 @@ function arrayReduce(array, iteratee, accumulator, initAccum) { /* harmony default export */ const _arrayReduce = (arrayReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js /** * The base implementation of `_.reduce` and `_.reduceRight`, without support @@ -8489,7 +8489,7 @@ function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { /* harmony default export */ const _baseReduce = (baseReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js @@ -8535,10 +8535,10 @@ var isArray = __webpack_require__(27771); * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) */ function reduce(collection, iteratee, accumulator) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayReduce : _baseReduce, + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, initAccum = arguments.length < 3; - return func(collection, (0,_baseIteratee/* default */.Z)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.Z); + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); } /* harmony default export */ const lodash_es_reduce = (reduce); @@ -8546,11 +8546,11 @@ function reduce(collection, iteratee, accumulator) { /***/ }), -/***/ 60532: +/***/ 41716: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * This method returns a new empty array. @@ -8579,13 +8579,13 @@ function stubArray() { /***/ }), -/***/ 94099: +/***/ 92400: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toFinite) + c: () => (/* binding */ lodash_es_toFinite) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_trimmedEndIndex.js @@ -8631,9 +8631,9 @@ function baseTrim(string) { /* harmony default export */ const _baseTrim = (baseTrim); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toNumber.js @@ -8681,12 +8681,12 @@ function toNumber(value) { if (typeof value == 'number') { return value; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return NAN; } - if ((0,isObject/* default */.Z)(value)) { + if ((0,isObject/* default */.c)(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = (0,isObject/* default */.Z)(other) ? (other + '') : other; + value = (0,isObject/* default */.c)(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; @@ -8747,23 +8747,23 @@ function toFinite(value) { /***/ }), -/***/ 50751: +/***/ 68019: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toString) + c: () => (/* binding */ lodash_es_toString) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js @@ -8774,7 +8774,7 @@ var isSymbol = __webpack_require__(72714); var INFINITY = 1 / 0; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolToString = symbolProto ? symbolProto.toString : undefined; /** @@ -8790,11 +8790,11 @@ function baseToString(value) { if (typeof value == 'string') { return value; } - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { // Recursively convert values (susceptible to call stack limits). - return (0,_arrayMap/* default */.Z)(value, baseToString) + ''; + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return symbolToString ? symbolToString.call(value) : ''; } var result = (value + ''); @@ -8836,13 +8836,13 @@ function toString_toString(value) { /***/ }), -/***/ 66749: +/***/ 41696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50751); +/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(68019); /** Used to generate unique IDs. */ @@ -8867,7 +8867,7 @@ var idCounter = 0; */ function uniqueId(prefix) { var id = ++idCounter; - return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(prefix) + id; + return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(prefix) + id; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (uniqueId); @@ -8875,17 +8875,17 @@ function uniqueId(prefix) { /***/ }), -/***/ 34148: +/***/ 36: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_values) + c: () => (/* binding */ lodash_es_values) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js @@ -8900,7 +8900,7 @@ var _arrayMap = __webpack_require__(74073); * @returns {Object} Returns the array of property values. */ function baseValues(object, props) { - return (0,_arrayMap/* default */.Z)(props, function(key) { + return (0,_arrayMap/* default */.c)(props, function(key) { return object[key]; }); } @@ -8908,7 +8908,7 @@ function baseValues(object, props) { /* harmony default export */ const _baseValues = (baseValues); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js @@ -8940,7 +8940,7 @@ var keys = __webpack_require__(17179); * // => ['h', 'i'] */ function values(object) { - return object == null ? [] : _baseValues(object, (0,keys/* default */.Z)(object)); + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); } /* harmony default export */ const lodash_es_values = (values); @@ -8948,7 +8948,7 @@ function values(object) { /***/ }), -/***/ 5943: +/***/ 95076: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { @@ -8957,14 +8957,14 @@ __webpack_require__.d(__webpack_exports__, { diagram: () => (/* binding */ diagram) }); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); +var graphlib = __webpack_require__(95536); // EXTERNAL MODULE: ./node_modules/d3/src/index.js + 197 modules -var src = __webpack_require__(64218); +var src = __webpack_require__(37352); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/dagre/index.js + 64 modules -var dagre = __webpack_require__(41644); +var dagre = __webpack_require__(32304); ;// CONCATENATED MODULE: ./node_modules/uuid/dist/esm-node/stringify.js /** @@ -9113,7 +9113,7 @@ function v35(name, version, hashfunc) { return generateUUID; } // EXTERNAL MODULE: external "crypto" -var external_crypto_ = __webpack_require__(6113); +var external_crypto_ = __webpack_require__(87968); var external_crypto_default = /*#__PURE__*/__webpack_require__.n(external_crypto_); ;// CONCATENATED MODULE: ./node_modules/uuid/dist/esm-node/sha1.js @@ -9135,12 +9135,12 @@ function sha1(bytes) { const v5 = v35('v5', 0x50, esm_node_sha1); /* harmony default export */ const esm_node_v5 = (v5); // EXTERNAL MODULE: ./node_modules/dayjs/dayjs.min.js -var dayjs_min = __webpack_require__(27484); +var dayjs_min = __webpack_require__(62264); // EXTERNAL MODULE: ./node_modules/@braintree/sanitize-url/dist/index.js -var dist = __webpack_require__(17967); +var dist = __webpack_require__(86208); // EXTERNAL MODULE: ./node_modules/dompurify/dist/purify.es.mjs -var purify_es = __webpack_require__(22424); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/erDiagram-4c71174c.js +var purify_es = __webpack_require__(57776); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/erDiagram-0ea73325.js @@ -9866,10 +9866,10 @@ const Identification = { const addEntity = function(name, alias = void 0) { if (entities[name] === void 0) { entities[name] = { attributes: [], alias }; - mermaid_04fb0060.l.info("Added new entity :", name); + mermaid_0603ccf8.l.info("Added new entity :", name); } else if (entities[name] && !entities[name].alias && alias) { entities[name].alias = alias; - mermaid_04fb0060.l.info(`Add alias '${alias}' to entity '${name}'`); + mermaid_0603ccf8.l.info(`Add alias '${alias}' to entity '${name}'`); } return entities[name]; }; @@ -9879,7 +9879,7 @@ const addAttributes = function(entityName, attribs) { let i; for (i = attribs.length - 1; i >= 0; i--) { entity.attributes.push(attribs[i]); - mermaid_04fb0060.l.debug("Added attribute ", attribs[i].attributeName); + mermaid_0603ccf8.l.debug("Added attribute ", attribs[i].attributeName); } }; const addRelationship = function(entA, rolA, entB, rSpec) { @@ -9890,30 +9890,30 @@ const addRelationship = function(entA, rolA, entB, rSpec) { relSpec: rSpec }; relationships.push(rel); - mermaid_04fb0060.l.debug("Added new relationship :", rel); + mermaid_0603ccf8.l.debug("Added new relationship :", rel); }; const getRelationships = () => relationships; const clear = function() { entities = {}; relationships = []; - (0,mermaid_04fb0060.t)(); + (0,mermaid_0603ccf8.t)(); }; const erDb = { Cardinality, Identification, - getConfig: () => (0,mermaid_04fb0060.c)().er, + getConfig: () => (0,mermaid_0603ccf8.c)().er, addEntity, addAttributes, getEntities, addRelationship, getRelationships, clear, - setAccTitle: mermaid_04fb0060.s, - getAccTitle: mermaid_04fb0060.g, - setAccDescription: mermaid_04fb0060.b, - getAccDescription: mermaid_04fb0060.a, - setDiagramTitle: mermaid_04fb0060.q, - getDiagramTitle: mermaid_04fb0060.r + setAccTitle: mermaid_0603ccf8.s, + getAccTitle: mermaid_0603ccf8.g, + setAccDescription: mermaid_0603ccf8.b, + getAccDescription: mermaid_0603ccf8.a, + setDiagramTitle: mermaid_0603ccf8.q, + getDiagramTitle: mermaid_0603ccf8.r }; const ERMarkers = { ONLY_ONE_START: "ONLY_ONE_START", @@ -9987,9 +9987,9 @@ const drawAttributes = (groupNode, entityTextNode, attributes) => { attributes.forEach((item) => { const attrPrefix = `${entityTextNode.node().id}-attr-${attrNum}`; let nodeHeight = 0; - const attributeType = (0,mermaid_04fb0060.v)(item.attributeType); - const typeNode = groupNode.append("text").classed("er entityLabel", true).attr("id", `${attrPrefix}-type`).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "left").style("font-family", (0,mermaid_04fb0060.c)().fontFamily).style("font-size", attrFontSize + "px").text(attributeType); - const nameNode = groupNode.append("text").classed("er entityLabel", true).attr("id", `${attrPrefix}-name`).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "left").style("font-family", (0,mermaid_04fb0060.c)().fontFamily).style("font-size", attrFontSize + "px").text(item.attributeName); + const attributeType = (0,mermaid_0603ccf8.v)(item.attributeType); + const typeNode = groupNode.append("text").classed("er entityLabel", true).attr("id", `${attrPrefix}-type`).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "left").style("font-family", (0,mermaid_0603ccf8.c)().fontFamily).style("font-size", attrFontSize + "px").text(attributeType); + const nameNode = groupNode.append("text").classed("er entityLabel", true).attr("id", `${attrPrefix}-name`).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "left").style("font-family", (0,mermaid_0603ccf8.c)().fontFamily).style("font-size", attrFontSize + "px").text(item.attributeName); const attributeNode = {}; attributeNode.tn = typeNode; attributeNode.nn = nameNode; @@ -10000,14 +10000,14 @@ const drawAttributes = (groupNode, entityTextNode, attributes) => { nodeHeight = Math.max(typeBBox.height, nameBBox.height); if (hasKeyType) { const keyTypeNodeText = item.attributeKeyTypeList !== void 0 ? item.attributeKeyTypeList.join(",") : ""; - const keyTypeNode = groupNode.append("text").classed("er entityLabel", true).attr("id", `${attrPrefix}-key`).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "left").style("font-family", (0,mermaid_04fb0060.c)().fontFamily).style("font-size", attrFontSize + "px").text(keyTypeNodeText); + const keyTypeNode = groupNode.append("text").classed("er entityLabel", true).attr("id", `${attrPrefix}-key`).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "left").style("font-family", (0,mermaid_0603ccf8.c)().fontFamily).style("font-size", attrFontSize + "px").text(keyTypeNodeText); attributeNode.kn = keyTypeNode; const keyTypeBBox = keyTypeNode.node().getBBox(); maxKeyWidth = Math.max(maxKeyWidth, keyTypeBBox.width); nodeHeight = Math.max(nodeHeight, keyTypeBBox.height); } if (hasComment) { - const commentNode = groupNode.append("text").classed("er entityLabel", true).attr("id", `${attrPrefix}-comment`).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "left").style("font-family", (0,mermaid_04fb0060.c)().fontFamily).style("font-size", attrFontSize + "px").text(item.attributeComment || ""); + const commentNode = groupNode.append("text").classed("er entityLabel", true).attr("id", `${attrPrefix}-comment`).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "left").style("font-family", (0,mermaid_0603ccf8.c)().fontFamily).style("font-size", attrFontSize + "px").text(item.attributeComment || ""); attributeNode.cn = commentNode; const commentNodeBBox = commentNode.node().getBBox(); maxCommentWidth = Math.max(maxCommentWidth, commentNodeBBox.width); @@ -10091,7 +10091,7 @@ const drawEntities = function(svgNode, entities2, graph) { const groupNode = svgNode.append("g").attr("id", entityId); firstOne = firstOne === void 0 ? entityId : firstOne; const textId = "text-" + entityId; - const textNode = groupNode.append("text").classed("er entityLabel", true).attr("id", textId).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "middle").style("font-family", (0,mermaid_04fb0060.c)().fontFamily).style("font-size", conf.fontSize + "px").text(entities2[entityName].alias ?? entityName); + const textNode = groupNode.append("text").classed("er entityLabel", true).attr("id", textId).attr("x", 0).attr("y", 0).style("dominant-baseline", "middle").style("text-anchor", "middle").style("font-family", (0,mermaid_0603ccf8.c)().fontFamily).style("font-size", conf.fontSize + "px").text(entities2[entityName].alias ?? entityName); const { width: entityWidth, height: entityHeight } = drawAttributes( groupNode, textNode, @@ -10140,11 +10140,11 @@ const drawRelationshipFromLayout = function(svg, rel, g, insert, diagObj) { entityNameIds.get(rel.entityB), getEdgeName(rel) ); - const lineFunction = (0,src/* line */.jvg)().x(function(d) { + const lineFunction = (0,src/* line */.cFK)().x(function(d) { return d.x; }).y(function(d) { return d.y; - }).curve(src/* curveBasis */.$0Z); + }).curve(src/* curveBasis */.k7); const svgPath = svg.insert("path", "#" + insert).classed("er relationshipLine", true).attr("d", lineFunction(edge.points)).style("stroke", conf.stroke).style("fill", "none"); if (rel.relSpec.relType === diagObj.db.Identification.NON_IDENTIFYING) { svgPath.attr("stroke-dasharray", "8,8"); @@ -10201,23 +10201,23 @@ const drawRelationshipFromLayout = function(svg, rel, g, insert, diagObj) { const len = svgPath.node().getTotalLength(); const labelPoint = svgPath.node().getPointAtLength(len * 0.5); const labelId = "rel" + relCnt; - const labelNode = svg.append("text").classed("er relationshipLabel", true).attr("id", labelId).attr("x", labelPoint.x).attr("y", labelPoint.y).style("text-anchor", "middle").style("dominant-baseline", "middle").style("font-family", (0,mermaid_04fb0060.c)().fontFamily).style("font-size", conf.fontSize + "px").text(rel.roleA); + const labelNode = svg.append("text").classed("er relationshipLabel", true).attr("id", labelId).attr("x", labelPoint.x).attr("y", labelPoint.y).style("text-anchor", "middle").style("dominant-baseline", "middle").style("font-family", (0,mermaid_0603ccf8.c)().fontFamily).style("font-size", conf.fontSize + "px").text(rel.roleA); const labelBBox = labelNode.node().getBBox(); svg.insert("rect", "#" + labelId).classed("er relationshipLabelBox", true).attr("x", labelPoint.x - labelBBox.width / 2).attr("y", labelPoint.y - labelBBox.height / 2).attr("width", labelBBox.width).attr("height", labelBBox.height); }; const draw = function(text, id, _version, diagObj) { - conf = (0,mermaid_04fb0060.c)().er; - mermaid_04fb0060.l.info("Drawing ER diagram"); - const securityLevel = (0,mermaid_04fb0060.c)().securityLevel; + conf = (0,mermaid_0603ccf8.c)().er; + mermaid_0603ccf8.l.info("Drawing ER diagram"); + const securityLevel = (0,mermaid_0603ccf8.c)().securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,src/* select */.Ys)("#i" + id); + sandboxElement = (0,src/* select */.MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,src/* select */.Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,src/* select */.Ys)("body"); + const root = securityLevel === "sandbox" ? (0,src/* select */.MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,src/* select */.MlD)("body"); const svg = root.select(`[id='${id}']`); erMarkers.insertMarkers(svg, conf); let g; - g = new graphlib/* Graph */.k({ + g = new graphlib/* Graph */.M({ multigraph: true, directed: true, compound: false @@ -10233,17 +10233,17 @@ const draw = function(text, id, _version, diagObj) { }); const firstEntity = drawEntities(svg, diagObj.db.getEntities(), g); const relationships2 = addRelationships(diagObj.db.getRelationships(), g); - (0,dagre/* layout */.bK)(g); + (0,dagre/* layout */.cn)(g); adjustEntities(svg, g); relationships2.forEach(function(rel) { drawRelationshipFromLayout(svg, rel, g, firstEntity, diagObj); }); const padding = conf.diagramPadding; - mermaid_04fb0060.u.insertTitle(svg, "entityTitleText", conf.titleTopMargin, diagObj.db.getDiagramTitle()); + mermaid_0603ccf8.u.insertTitle(svg, "entityTitleText", conf.titleTopMargin, diagObj.db.getDiagramTitle()); const svgBounds = svg.node().getBBox(); const width = svgBounds.width + padding * 2; const height = svgBounds.height + padding * 2; - (0,mermaid_04fb0060.i)(svg, height, width, conf.useMaxWidth); + (0,mermaid_0603ccf8.i)(svg, height, width, conf.useMaxWidth); svg.attr("viewBox", `${svgBounds.x - padding} ${svgBounds.y - padding} ${width} ${height}`); }; const MERMAID_ERDIAGRAM_UUID = "28e9f9db-3c8d-5aa5-9faf-44286ae5937c"; diff --git a/assets/js/76adc5ec.12f6ca04.js b/assets/js/76adc5ec.12f6ca04.js new file mode 100644 index 000000000..ea7612adb --- /dev/null +++ b/assets/js/76adc5ec.12f6ca04.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[7383],{70148:(e,t,s)=>{s.r(t),s.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>h,frontMatter:()=>o,metadata:()=>r,toc:()=>c});var a=s(17624),n=s(4552);const o={slug:"CEC1 submissions received",title:"CEC1 submissions received",author:"Jon Barker",author_title:"Clarity Team Member",author_url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",author_image_url:"https://avatars.githubusercontent.com/jonbarker68",tags:["clarity","submission","CEC1"]},i=void 0,r={permalink:"/blog/CEC1 submissions received",source:"@site/blog/2021-06-16-submission-deadline.mdx",title:"CEC1 submissions received",description:"The CEC1 submission deadline has now passed. 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[] : undefined; - forEach/* default */.Z(g.inEdges(entry.v), function (edge) { + forEach/* default */.c(g.inEdges(entry.v), function (edge) { var weight = g.edge(edge); var uEntry = g.node(edge.v); @@ -160,7 +160,7 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { assignBucket(buckets, zeroIdx, uEntry); }); - forEach/* default */.Z(g.outEdges(entry.v), function (edge) { + forEach/* default */.c(g.outEdges(entry.v), function (edge) { var weight = g.edge(edge); var w = edge.w; var wEntry = g.node(w); @@ -174,17 +174,17 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { } function buildState(g, weightFn) { - var fasGraph = new graphlib/* Graph */.k(); + var fasGraph = new graphlib/* Graph */.M(); var maxIn = 0; var maxOut = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { fasGraph.setNode(v, { v: v, in: 0, out: 0 }); }); // Aggregate weights on nodes, but also sum the weights across multi-edges // into a single edge for the fasGraph. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var prevWeight = fasGraph.edge(e.v, e.w) || 0; var weight = weightFn(e); var edgeWeight = prevWeight + weight; @@ -193,12 +193,12 @@ function buildState(g, weightFn) { maxIn = Math.max(maxIn, (fasGraph.node(e.w)['in'] += weight)); }); - var buckets = range/* default */.Z(maxOut + maxIn + 3).map(function () { + var buckets = range/* default */.c(maxOut + maxIn + 3).map(function () { return new List(); }); var zeroIdx = maxIn + 1; - forEach/* default */.Z(fasGraph.nodes(), function (v) { + forEach/* default */.c(fasGraph.nodes(), function (v) { assignBucket(buckets, zeroIdx, fasGraph.node(v)); }); @@ -223,12 +223,12 @@ function assignBucket(buckets, zeroIdx, entry) { function run(g) { var fas = g.graph().acyclicer === 'greedy' ? greedyFAS(g, weightFn(g)) : dfsFAS(g); - forEach/* default */.Z(fas, function (e) { + forEach/* default */.c(fas, function (e) { var label = g.edge(e); g.removeEdge(e); label.forwardName = e.name; label.reversed = true; - g.setEdge(e.w, e.v, label, uniqueId/* default */.Z('rev')); + g.setEdge(e.w, e.v, label, uniqueId/* default */.c('rev')); }); function weightFn(g) { @@ -244,13 +244,13 @@ function dfsFAS(g) { var visited = {}; function dfs(v) { - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return; } visited[v] = true; stack[v] = true; - forEach/* default */.Z(g.outEdges(v), function (e) { - if (has/* default */.Z(stack, e.w)) { + forEach/* default */.c(g.outEdges(v), function (e) { + if (has/* default */.c(stack, e.w)) { fas.push(e); } else { dfs(e.w); @@ -259,12 +259,12 @@ function dfsFAS(g) { delete stack[v]; } - forEach/* default */.Z(g.nodes(), dfs); + forEach/* default */.c(g.nodes(), dfs); return fas; } function undo(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var label = g.edge(e); if (label.reversed) { g.removeEdge(e); @@ -278,13 +278,13 @@ function undo(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/merge.js + 6 modules -var merge = __webpack_require__(59236); +var merge = __webpack_require__(89064); // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseExtremum.js @@ -307,7 +307,7 @@ function baseExtremum(array, iteratee, comparator) { current = iteratee(value); if (current != null && (computed === undefined - ? (current === current && !(0,isSymbol/* default */.Z)(current)) + ? (current === current && !(0,isSymbol/* default */.c)(current)) : comparator(current, computed) )) { var computed = current, @@ -336,7 +336,7 @@ function baseGt(value, other) { /* harmony default export */ const _baseGt = (baseGt); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/max.js @@ -362,7 +362,7 @@ var identity = __webpack_require__(69203); */ function max(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseGt) + ? _baseExtremum(array, identity/* default */.c, _baseGt) : undefined; } @@ -391,11 +391,11 @@ function last(array) { /* harmony default export */ const lodash_es_last = (last); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseAssignValue.js -var _baseAssignValue = __webpack_require__(74752); +var _baseAssignValue = __webpack_require__(78848); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/mapValues.js @@ -431,10 +431,10 @@ var _baseIteratee = __webpack_require__(74765); */ function mapValues(object, iteratee) { var result = {}; - iteratee = (0,_baseIteratee/* default */.Z)(iteratee, 3); + iteratee = (0,_baseIteratee/* default */.c)(iteratee, 3); - (0,_baseForOwn/* default */.Z)(object, function(value, key, object) { - (0,_baseAssignValue/* default */.Z)(result, key, iteratee(value, key, object)); + (0,_baseForOwn/* default */.c)(object, function(value, key, object) { + (0,_baseAssignValue/* default */.c)(result, key, iteratee(value, key, object)); }); return result; } @@ -442,7 +442,7 @@ function mapValues(object, iteratee) { /* harmony default export */ const lodash_es_mapValues = (mapValues); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseLt.js /** * The base implementation of `_.lt` which doesn't coerce arguments. @@ -484,14 +484,14 @@ function baseLt(value, other) { */ function min(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseLt) + ? _baseExtremum(array, identity/* default */.c, _baseLt) : undefined; } /* harmony default export */ const lodash_es_min = (min); // EXTERNAL MODULE: ./node_modules/lodash-es/_root.js -var _root = __webpack_require__(66092); +var _root = __webpack_require__(43936); ;// CONCATENATED MODULE: ./node_modules/lodash-es/now.js @@ -512,7 +512,7 @@ var _root = __webpack_require__(66092); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { - return _root/* default */.Z.Date.now(); + return _root/* default */.c.Date.now(); }; /* harmony default export */ const lodash_es_now = (now); @@ -529,7 +529,7 @@ var now = function() { function addDummyNode(g, type, attrs, name) { var v; do { - v = uniqueId/* default */.Z(name); + v = uniqueId/* default */.c(name); } while (g.hasNode(v)); attrs.dummy = type; @@ -542,11 +542,11 @@ function addDummyNode(g, type, attrs, name) { * associated with multi-edges. */ function simplify(g) { - var simplified = new graphlib/* Graph */.k().setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M().setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { simplified.setNode(v, g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var simpleLabel = simplified.edge(e.v, e.w) || { weight: 0, minlen: 1 }; var label = g.edge(e); simplified.setEdge(e.v, e.w, { @@ -558,13 +558,13 @@ function simplify(g) { } function asNonCompoundGraph(g) { - var simplified = new graphlib/* Graph */.k({ multigraph: g.isMultigraph() }).setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M({ multigraph: g.isMultigraph() }).setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { if (!g.children(v).length) { simplified.setNode(v, g.node(v)); } }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { simplified.setEdge(e, g.edge(e)); }); return simplified; @@ -636,13 +636,13 @@ function intersectRect(rect, point) { * function will produce a matrix with the ids of each node. */ function buildLayerMatrix(g) { - var layering = map/* default */.Z(range/* default */.Z(util_maxRank(g) + 1), function () { + var layering = map/* default */.c(range/* default */.c(util_maxRank(g) + 1), function () { return []; }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); var rank = node.rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { layering[rank][node.order] = v; } }); @@ -655,13 +655,13 @@ function buildLayerMatrix(g) { */ function normalizeRanks(g) { var min = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); - if (has/* default */.Z(node, 'rank')) { + if (has/* default */.c(node, 'rank')) { node.rank -= min; } }); @@ -670,13 +670,13 @@ function normalizeRanks(g) { function removeEmptyRanks(g) { // Ranks may not start at 0, so we need to offset them var offset = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); var layers = []; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank - offset; if (!layers[rank]) { layers[rank] = []; @@ -686,11 +686,11 @@ function removeEmptyRanks(g) { var delta = 0; var nodeRankFactor = g.graph().nodeRankFactor; - forEach/* default */.Z(layers, function (vs, i) { - if (isUndefined/* default */.Z(vs) && i % nodeRankFactor !== 0) { + forEach/* default */.c(layers, function (vs, i) { + if (isUndefined/* default */.c(vs) && i % nodeRankFactor !== 0) { --delta; } else if (delta) { - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { g.node(v).rank += delta; }); } @@ -711,9 +711,9 @@ function addBorderNode(g, prefix, rank, order) { function util_maxRank(g) { return lodash_es_max( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { return rank; } }) @@ -727,7 +727,7 @@ function util_maxRank(g) { */ function partition(collection, fn) { var result = { lhs: [], rhs: [] }; - forEach/* default */.Z(collection, function (value) { + forEach/* default */.c(collection, function (value) { if (fn(value)) { result.lhs.push(value); } else { @@ -765,10 +765,10 @@ function addBorderSegments(g) { var children = g.children(v); var node = g.node(v); if (children.length) { - forEach/* default */.Z(children, dfs); + forEach/* default */.c(children, dfs); } - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { node.borderLeft = []; node.borderRight = []; for (var rank = node.minRank, maxRank = node.maxRank + 1; rank < maxRank; ++rank) { @@ -778,7 +778,7 @@ function addBorderSegments(g) { } } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); } function add_border_segments_addBorderNode(g, prop, prefix, sg, sgNode, rank) { @@ -817,10 +817,10 @@ function coordinate_system_undo(g) { } function swapWidthHeight(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapWidthHeightOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { swapWidthHeightOne(g.edge(e)); }); } @@ -832,14 +832,14 @@ function swapWidthHeightOne(attrs) { } function reverseY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { reverseYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, reverseYOne); - if (has/* default */.Z(edge, 'y')) { + forEach/* default */.c(edge.points, reverseYOne); + if (has/* default */.c(edge, 'y')) { reverseYOne(edge); } }); @@ -850,14 +850,14 @@ function reverseYOne(attrs) { } function swapXY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapXYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, swapXYOne); - if (has/* default */.Z(edge, 'x')) { + forEach/* default */.c(edge.points, swapXYOne); + if (has/* default */.c(edge, 'x')) { swapXYOne(edge); } }); @@ -893,7 +893,7 @@ function swapXYOne(attrs) { */ function normalize_run(g) { g.graph().dummyChains = []; - forEach/* default */.Z(g.edges(), function (edge) { + forEach/* default */.c(g.edges(), function (edge) { normalizeEdge(g, edge); }); } @@ -941,7 +941,7 @@ function normalizeEdge(g, e) { } function normalize_undo(g) { - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var origLabel = node.edgeLabel; var w; @@ -992,7 +992,7 @@ function normalize_undo(g) { */ function minBy(array, iteratee) { return (array && array.length) - ? _baseExtremum(array, (0,_baseIteratee/* default */.Z)(iteratee, 2), _baseLt) + ? _baseExtremum(array, (0,_baseIteratee/* default */.c)(iteratee, 2), _baseLt) : undefined; } @@ -1029,13 +1029,13 @@ function longestPath(g) { function dfs(v) { var label = g.node(v); - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return label.rank; } visited[v] = true; var rank = lodash_es_min( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return dfs(e.w) - g.edge(e).minlen; }) ); @@ -1052,7 +1052,7 @@ function longestPath(g) { return (label.rank = rank); } - forEach/* default */.Z(g.sources(), dfs); + forEach/* default */.c(g.sources(), dfs); } /* @@ -1096,7 +1096,7 @@ function slack(g, e) { * edges. */ function feasibleTree(g) { - var t = new graphlib/* Graph */.k({ directed: false }); + var t = new graphlib/* Graph */.M({ directed: false }); // Choose arbitrary node from which to start our tree var start = g.nodes()[0]; @@ -1119,7 +1119,7 @@ function feasibleTree(g) { */ function tightTree(t, g) { function dfs(v) { - forEach/* default */.Z(g.nodeEdges(v), function (e) { + forEach/* default */.c(g.nodeEdges(v), function (e) { var edgeV = e.v, w = v === edgeV ? e.w : edgeV; if (!t.hasNode(w) && !slack(g, e)) { @@ -1130,7 +1130,7 @@ function tightTree(t, g) { }); } - forEach/* default */.Z(t.nodes(), dfs); + forEach/* default */.c(t.nodes(), dfs); return t.nodeCount(); } @@ -1147,15 +1147,15 @@ function findMinSlackEdge(t, g) { } function shiftRanks(t, g, delta) { - forEach/* default */.Z(t.nodes(), function (v) { + forEach/* default */.c(t.nodes(), function (v) { g.node(v).rank += delta; }); } // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createFind.js @@ -1171,9 +1171,9 @@ var keys = __webpack_require__(17179); function createFind(findIndexFunc) { return function(collection, predicate, fromIndex) { var iterable = Object(collection); - if (!(0,isArrayLike/* default */.Z)(collection)) { - var iteratee = (0,_baseIteratee/* default */.Z)(predicate, 3); - collection = (0,keys/* default */.Z)(collection); + if (!(0,isArrayLike/* default */.c)(collection)) { + var iteratee = (0,_baseIteratee/* default */.c)(predicate, 3); + collection = (0,keys/* default */.c)(collection); predicate = function(key) { return iteratee(iterable[key], key, iterable); }; } var index = findIndexFunc(collection, predicate, fromIndex); @@ -1184,9 +1184,9 @@ function createFind(findIndexFunc) { /* harmony default export */ const _createFind = (createFind); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toInteger.js @@ -1217,7 +1217,7 @@ var toFinite = __webpack_require__(94099); * // => 3 */ function toInteger(value) { - var result = (0,toFinite/* default */.Z)(value), + var result = (0,toFinite/* default */.c)(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; @@ -1277,7 +1277,7 @@ function findIndex(array, predicate, fromIndex) { if (index < 0) { index = nativeMax(length + index, 0); } - return (0,_baseFindIndex/* default */.Z)(array, (0,_baseIteratee/* default */.Z)(predicate, 3), index); + return (0,_baseFindIndex/* default */.c)(array, (0,_baseIteratee/* default */.c)(predicate, 3), index); } /* harmony default export */ const lodash_es_findIndex = (findIndex); @@ -1327,14 +1327,14 @@ var find = _createFind(lodash_es_findIndex); /* harmony default export */ const lodash_es_find = (find); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/dijkstra.js -var DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function dijkstra_dijkstra(g, source, weightFn, edgeFn) { return runDijkstra( @@ -1416,7 +1416,7 @@ function dijkstraAll(g, weightFunc, edgeFunc) { -var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function floydWarshall(g, weightFn, edgeFn) { return runFloydWarshall( @@ -1469,15 +1469,15 @@ function runFloydWarshall(g, weightFn, edgeFn) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseKeys.js + 1 modules -var _baseKeys = __webpack_require__(39473); +var _baseKeys = __webpack_require__(61376); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetTag.js + 2 modules -var _baseGetTag = __webpack_require__(93589); +var _baseGetTag = __webpack_require__(67724); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isString.js @@ -1505,13 +1505,13 @@ var stringTag = '[object String]'; */ function isString(value) { return typeof value == 'string' || - (!(0,isArray/* default */.Z)(value) && (0,isObjectLike/* default */.Z)(value) && (0,_baseGetTag/* default */.Z)(value) == stringTag); + (!(0,isArray/* default */.c)(value) && (0,isObjectLike/* default */.c)(value) && (0,_baseGetTag/* default */.c)(value) == stringTag); } /* harmony default export */ const lodash_es_isString = (isString); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_asciiSize.js @@ -1522,7 +1522,7 @@ var _baseProperty = __webpack_require__(54193); * @param {string} string The string inspect. * @returns {number} Returns the string size. */ -var asciiSize = (0,_baseProperty/* default */.Z)('length'); +var asciiSize = (0,_baseProperty/* default */.c)('length'); /* harmony default export */ const _asciiSize = (asciiSize); @@ -1656,14 +1656,14 @@ function size(collection) { if (collection == null) { return 0; } - if ((0,isArrayLike/* default */.Z)(collection)) { + if ((0,isArrayLike/* default */.c)(collection)) { return lodash_es_isString(collection) ? _stringSize(collection) : collection.length; } - var tag = (0,_getTag/* default */.Z)(collection); + var tag = (0,_getTag/* default */.c)(collection); if (tag == mapTag || tag == setTag) { return collection.size; } - return (0,_baseKeys/* default */.Z)(collection).length; + return (0,_baseKeys/* default */.c)(collection).length; } /* harmony default export */ const lodash_es_size = (size); @@ -1681,20 +1681,20 @@ function topsort_topsort(g) { var results = []; function visit(node) { - if (has/* default */.Z(stack, node)) { + if (has/* default */.c(stack, node)) { throw new topsort_CycleException(); } - if (!has/* default */.Z(visited, node)) { + if (!has/* default */.c(visited, node)) { stack[node] = true; visited[node] = true; - forEach/* default */.Z(g.predecessors(node), visit); + forEach/* default */.c(g.predecessors(node), visit); delete stack[node]; results.push(node); } } - forEach/* default */.Z(g.sinks(), visit); + forEach/* default */.c(g.sinks(), visit); if (lodash_es_size(visited) !== g.nodeCount()) { throw new topsort_CycleException(); @@ -1737,7 +1737,7 @@ function isAcyclic(g) { * Order must be one of "pre" or "post". */ function dfs(g, vs, order) { - if (!isArray/* default */.Z(vs)) { + if (!isArray/* default */.c(vs)) { vs = [vs]; } @@ -1745,7 +1745,7 @@ function dfs(g, vs, order) { var acc = []; var visited = {}; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (!g.hasNode(v)) { throw new Error('Graph does not have node: ' + v); } @@ -1756,13 +1756,13 @@ function dfs(g, vs, order) { } function doDfs(g, v, postorder, visited, navigation, acc) { - if (!has/* default */.Z(visited, v)) { + if (!has/* default */.c(visited, v)) { visited[v] = true; if (!postorder) { acc.push(v); } - forEach/* default */.Z(navigation(v), function (w) { + forEach/* default */.c(navigation(v), function (w) { doDfs(g, w, postorder, visited, navigation, acc); }); if (postorder) { @@ -1790,7 +1790,7 @@ function preorder(g, vs) { } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); +var graph = __webpack_require__(58048); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/prim.js @@ -1930,7 +1930,7 @@ function networkSimplex(g) { function initCutValues(t, g) { var vs = postorder(t, t.nodes()); vs = vs.slice(0, vs.length - 1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { assignCutValue(t, g, v); }); } @@ -1962,7 +1962,7 @@ function calcCutValue(t, g, child) { cutValue = graphEdge.weight; - forEach/* default */.Z(g.nodeEdges(child), function (e) { + forEach/* default */.c(g.nodeEdges(child), function (e) { var isOutEdge = e.v === child, other = isOutEdge ? e.w : e.v; @@ -1993,8 +1993,8 @@ function dfsAssignLowLim(tree, visited, nextLim, v, parent) { var label = tree.node(v); visited[v] = true; - forEach/* default */.Z(tree.neighbors(v), function (w) { - if (!has/* default */.Z(visited, w)) { + forEach/* default */.c(tree.neighbors(v), function (w) { + if (!has/* default */.c(visited, w)) { nextLim = dfsAssignLowLim(tree, visited, nextLim, w, v); } }); @@ -2041,7 +2041,7 @@ function enterEdge(t, g, edge) { flip = true; } - var candidates = filter/* default */.Z(g.edges(), function (edge) { + var candidates = filter/* default */.c(g.edges(), function (edge) { return ( flip === isDescendant(t, t.node(edge.v), tailLabel) && flip !== isDescendant(t, t.node(edge.w), tailLabel) @@ -2069,7 +2069,7 @@ function updateRanks(t, g) { }); var vs = preorder(t, root); vs = vs.slice(1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var parent = t.node(v).parent, edge = g.edge(v, parent), flipped = false; @@ -2153,9 +2153,9 @@ function networkSimplexRanker(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/nesting-graph.js @@ -2188,13 +2188,13 @@ var reduce = __webpack_require__(92344); function nesting_graph_run(g) { var root = addDummyNode(g, 'root', {}, '_root'); var depths = treeDepths(g); - var height = lodash_es_max(values/* default */.Z(depths)) - 1; // Note: depths is an Object not an array + var height = lodash_es_max(values/* default */.c(depths)) - 1; // Note: depths is an Object not an array var nodeSep = 2 * height + 1; g.graph().nestingRoot = root; // Multiply minlen by nodeSep to align nodes on non-border ranks. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { g.edge(e).minlen *= nodeSep; }); @@ -2202,7 +2202,7 @@ function nesting_graph_run(g) { var weight = sumWeights(g) + 1; // Create border nodes and link them up - forEach/* default */.Z(g.children(), function (child) { + forEach/* default */.c(g.children(), function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); }); @@ -2229,7 +2229,7 @@ function nesting_graph_dfs(g, root, nodeSep, weight, height, depths, v) { g.setParent(bottom, v); label.borderBottom = bottom; - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); var childNode = g.node(child); @@ -2261,20 +2261,20 @@ function treeDepths(g) { function dfs(v, depth) { var children = g.children(v); if (children && children.length) { - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { dfs(child, depth + 1); }); } depths[v] = depth; } - forEach/* default */.Z(g.children(), function (v) { + forEach/* default */.c(g.children(), function (v) { dfs(v, 1); }); return depths; } function sumWeights(g) { - return reduce/* default */.Z( + return reduce/* default */.c( g.edges(), function (acc, e) { return acc + g.edge(e).weight; @@ -2287,7 +2287,7 @@ function cleanup(g) { var graphLabel = g.graph(); g.removeNode(graphLabel.nestingRoot); delete graphLabel.nestingRoot; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.nestingEdge) { g.removeEdge(e); @@ -2296,7 +2296,7 @@ function cleanup(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); +var _baseClone = __webpack_require__(48492); ;// CONCATENATED MODULE: ./node_modules/lodash-es/cloneDeep.js @@ -2323,7 +2323,7 @@ var CLONE_DEEP_FLAG = 1, * // => false */ function cloneDeep(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); + return (0,_baseClone/* default */.c)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); } /* harmony default export */ const lodash_es_cloneDeep = (cloneDeep); @@ -2337,7 +2337,7 @@ function addSubgraphConstraints(g, cg, vs) { var prev = {}, rootPrev; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var child = g.parent(v), parent, prevChild; @@ -2421,13 +2421,13 @@ function addSubgraphConstraints(g, cg, vs) { */ function buildLayerGraph(g, rank, relationship) { var root = createRootNode(g), - result = new graphlib/* Graph */.k({ compound: true }) + result = new graphlib/* Graph */.M({ compound: true }) .setGraph({ root: root }) .setDefaultNodeLabel(function (v) { return g.node(v); }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v), parent = g.parent(v); @@ -2436,14 +2436,14 @@ function buildLayerGraph(g, rank, relationship) { result.setParent(v, parent || root); // This assumes we have only short edges! - forEach/* default */.Z(g[relationship](v), function (e) { + forEach/* default */.c(g[relationship](v), function (e) { var u = e.v === v ? e.w : e.v, edge = result.edge(u, v), - weight = !isUndefined/* default */.Z(edge) ? edge.weight : 0; + weight = !isUndefined/* default */.c(edge) ? edge.weight : 0; result.setEdge(u, v, { weight: g.edge(e).weight + weight }); }); - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { result.setNode(v, { borderLeft: node.borderLeft[rank], borderRight: node.borderRight[rank], @@ -2457,12 +2457,12 @@ function buildLayerGraph(g, rank, relationship) { function createRootNode(g) { var v; - while (g.hasNode((v = uniqueId/* default */.Z('_root')))); + while (g.hasNode((v = uniqueId/* default */.c('_root')))); return v; } // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseZipObject.js /** * This base implementation of `_.zipObject` which assigns values using `assignFunc`. @@ -2509,19 +2509,19 @@ function baseZipObject(props, values, assignFunc) { * // => { 'a': 1, 'b': 2 } */ function zipObject(props, values) { - return _baseZipObject(props || [], values || [], _assignValue/* default */.Z); + return _baseZipObject(props || [], values || [], _assignValue/* default */.c); } /* harmony default export */ const lodash_es_zipObject = (zipObject); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseMap.js -var _baseMap = __webpack_require__(21018); +var _baseMap = __webpack_require__(90360); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSortBy.js /** * The base implementation of `_.sortBy` which uses `comparer` to define the @@ -2546,7 +2546,7 @@ function baseSortBy(array, comparer) { /* harmony default export */ const _baseSortBy = (baseSortBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_compareAscending.js @@ -2563,12 +2563,12 @@ function compareAscending(value, other) { var valIsDefined = value !== undefined, valIsNull = value === null, valIsReflexive = value === value, - valIsSymbol = (0,isSymbol/* default */.Z)(value); + valIsSymbol = (0,isSymbol/* default */.c)(value); var othIsDefined = other !== undefined, othIsNull = other === null, othIsReflexive = other === other, - othIsSymbol = (0,isSymbol/* default */.Z)(other); + othIsSymbol = (0,isSymbol/* default */.c)(other); if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) || (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) || @@ -2658,23 +2658,23 @@ function compareMultiple(object, other, orders) { */ function baseOrderBy(collection, iteratees, orders) { if (iteratees.length) { - iteratees = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { - if ((0,isArray/* default */.Z)(iteratee)) { + iteratees = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { + if ((0,isArray/* default */.c)(iteratee)) { return function(value) { - return (0,_baseGet/* default */.Z)(value, iteratee.length === 1 ? iteratee[0] : iteratee); + return (0,_baseGet/* default */.c)(value, iteratee.length === 1 ? iteratee[0] : iteratee); } } return iteratee; }); } else { - iteratees = [identity/* default */.Z]; + iteratees = [identity/* default */.c]; } var index = -1; - iteratees = (0,_arrayMap/* default */.Z)(iteratees, (0,_baseUnary/* default */.Z)(_baseIteratee/* default */.Z)); + iteratees = (0,_arrayMap/* default */.c)(iteratees, (0,_baseUnary/* default */.c)(_baseIteratee/* default */.c)); - var result = (0,_baseMap/* default */.Z)(collection, function(value, key, collection) { - var criteria = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { + var result = (0,_baseMap/* default */.c)(collection, function(value, key, collection) { + var criteria = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { return iteratee(value); }); return { 'criteria': criteria, 'index': ++index, 'value': value }; @@ -2688,9 +2688,9 @@ function baseOrderBy(collection, iteratees, orders) { /* harmony default export */ const _baseOrderBy = (baseOrderBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/sortBy.js @@ -2726,17 +2726,17 @@ var _isIterateeCall = __webpack_require__(50439); * _.sortBy(users, ['user', 'age']); * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]] */ -var sortBy = (0,_baseRest/* default */.Z)(function(collection, iteratees) { +var sortBy = (0,_baseRest/* default */.c)(function(collection, iteratees) { if (collection == null) { return []; } var length = iteratees.length; - if (length > 1 && (0,_isIterateeCall/* default */.Z)(collection, iteratees[0], iteratees[1])) { + if (length > 1 && (0,_isIterateeCall/* default */.c)(collection, iteratees[0], iteratees[1])) { iteratees = []; - } else if (length > 2 && (0,_isIterateeCall/* default */.Z)(iteratees[0], iteratees[1], iteratees[2])) { + } else if (length > 2 && (0,_isIterateeCall/* default */.c)(iteratees[0], iteratees[1], iteratees[2])) { iteratees = [iteratees[0]]; } - return _baseOrderBy(collection, (0,_baseFlatten/* default */.Z)(iteratees, 1), []); + return _baseOrderBy(collection, (0,_baseFlatten/* default */.c)(iteratees, 1), []); }); /* harmony default export */ const lodash_es_sortBy = (sortBy); @@ -2776,14 +2776,14 @@ function twoLayerCrossCount(g, northLayer, southLayer) { // their head in the south layer. var southPos = lodash_es_zipObject( southLayer, - map/* default */.Z(southLayer, function (v, i) { + map/* default */.c(southLayer, function (v, i) { return i; }) ); - var southEntries = flatten/* default */.Z( - map/* default */.Z(northLayer, function (v) { + var southEntries = flatten/* default */.c( + map/* default */.c(northLayer, function (v) { return lodash_es_sortBy( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return { pos: southPos[e.w], weight: g.edge(e).weight }; }), 'pos' @@ -2796,13 +2796,13 @@ function twoLayerCrossCount(g, northLayer, southLayer) { while (firstIndex < southLayer.length) firstIndex <<= 1; var treeSize = 2 * firstIndex - 1; firstIndex -= 1; - var tree = map/* default */.Z(new Array(treeSize), function () { + var tree = map/* default */.c(new Array(treeSize), function () { return 0; }); // Calculate the weighted crossings var cc = 0; - forEach/* default */.Z( + forEach/* default */.c( // @ts-expect-error southEntries.forEach(function (entry) { var index = entry.pos + firstIndex; @@ -2843,30 +2843,30 @@ function twoLayerCrossCount(g, northLayer, southLayer) { */ function initOrder(g) { var visited = {}; - var simpleNodes = filter/* default */.Z(g.nodes(), function (v) { + var simpleNodes = filter/* default */.c(g.nodes(), function (v) { return !g.children(v).length; }); var maxRank = lodash_es_max( - map/* default */.Z(simpleNodes, function (v) { + map/* default */.c(simpleNodes, function (v) { return g.node(v).rank; }) ); - var layers = map/* default */.Z(range/* default */.Z(maxRank + 1), function () { + var layers = map/* default */.c(range/* default */.c(maxRank + 1), function () { return []; }); function dfs(v) { - if (has/* default */.Z(visited, v)) return; + if (has/* default */.c(visited, v)) return; visited[v] = true; var node = g.node(v); layers[node.rank].push(v); - forEach/* default */.Z(g.successors(v), dfs); + forEach/* default */.c(g.successors(v), dfs); } var orderedVs = lodash_es_sortBy(simpleNodes, function (v) { return g.node(v).rank; }); - forEach/* default */.Z(orderedVs, dfs); + forEach/* default */.c(orderedVs, dfs); return layers; } @@ -2877,12 +2877,12 @@ function initOrder(g) { function barycenter(g, movable) { - return map/* default */.Z(movable, function (v) { + return map/* default */.c(movable, function (v) { var inV = g.inEdges(v); if (!inV.length) { return { v: v }; } else { - var result = reduce/* default */.Z( + var result = reduce/* default */.c( inV, function (acc, e) { var edge = g.edge(e), @@ -2936,7 +2936,7 @@ function barycenter(g, movable) { */ function resolveConflicts(entries, cg) { var mappedEntries = {}; - forEach/* default */.Z(entries, function (entry, i) { + forEach/* default */.c(entries, function (entry, i) { var tmp = (mappedEntries[entry.v] = { indegree: 0, in: [], @@ -2944,7 +2944,7 @@ function resolveConflicts(entries, cg) { vs: [entry.v], i: i, }); - if (!isUndefined/* default */.Z(entry.barycenter)) { + if (!isUndefined/* default */.c(entry.barycenter)) { // @ts-expect-error tmp.barycenter = entry.barycenter; // @ts-expect-error @@ -2952,16 +2952,16 @@ function resolveConflicts(entries, cg) { } }); - forEach/* default */.Z(cg.edges(), function (e) { + forEach/* default */.c(cg.edges(), function (e) { var entryV = mappedEntries[e.v]; var entryW = mappedEntries[e.w]; - if (!isUndefined/* default */.Z(entryV) && !isUndefined/* default */.Z(entryW)) { + if (!isUndefined/* default */.c(entryV) && !isUndefined/* default */.c(entryW)) { entryW.indegree++; entryV.out.push(mappedEntries[e.w]); } }); - var sourceSet = filter/* default */.Z(mappedEntries, function (entry) { + var sourceSet = filter/* default */.c(mappedEntries, function (entry) { // @ts-expect-error return !entry.indegree; }); @@ -2978,8 +2978,8 @@ function doResolveConflicts(sourceSet) { return; } if ( - isUndefined/* default */.Z(uEntry.barycenter) || - isUndefined/* default */.Z(vEntry.barycenter) || + isUndefined/* default */.c(uEntry.barycenter) || + isUndefined/* default */.c(vEntry.barycenter) || uEntry.barycenter >= vEntry.barycenter ) { mergeEntries(vEntry, uEntry); @@ -2999,16 +2999,16 @@ function doResolveConflicts(sourceSet) { while (sourceSet.length) { var entry = sourceSet.pop(); entries.push(entry); - forEach/* default */.Z(entry['in'].reverse(), handleIn(entry)); - forEach/* default */.Z(entry.out, handleOut(entry)); + forEach/* default */.c(entry['in'].reverse(), handleIn(entry)); + forEach/* default */.c(entry.out, handleOut(entry)); } - return map/* default */.Z( - filter/* default */.Z(entries, function (entry) { + return map/* default */.c( + filter/* default */.c(entries, function (entry) { return !entry.merged; }), function (entry) { - return pick/* default */.Z(entry, ['vs', 'i', 'barycenter', 'weight']); + return pick/* default */.c(entry, ['vs', 'i', 'barycenter', 'weight']); } ); } @@ -3042,7 +3042,7 @@ function mergeEntries(target, source) { function sort(entries, biasRight) { var parts = partition(entries, function (entry) { - return has/* default */.Z(entry, 'barycenter'); + return has/* default */.c(entry, 'barycenter'); }); var sortable = parts.lhs, unsortable = lodash_es_sortBy(parts.rhs, function (entry) { @@ -3057,7 +3057,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); - forEach/* default */.Z(sortable, function (entry) { + forEach/* default */.c(sortable, function (entry) { vsIndex += entry.vs.length; vs.push(entry.vs); sum += entry.barycenter * entry.weight; @@ -3065,7 +3065,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); }); - var result = { vs: flatten/* default */.Z(vs) }; + var result = { vs: flatten/* default */.c(vs) }; if (weight) { result.barycenter = sum / weight; result.weight = weight; @@ -3111,17 +3111,17 @@ function sortSubgraph(g, v, cg, biasRight) { var subgraphs = {}; if (bl) { - movable = filter/* default */.Z(movable, function (w) { + movable = filter/* default */.c(movable, function (w) { return w !== bl && w !== br; }); } var barycenters = barycenter(g, movable); - forEach/* default */.Z(barycenters, function (entry) { + forEach/* default */.c(barycenters, function (entry) { if (g.children(entry.v).length) { var subgraphResult = sortSubgraph(g, entry.v, cg, biasRight); subgraphs[entry.v] = subgraphResult; - if (has/* default */.Z(subgraphResult, 'barycenter')) { + if (has/* default */.c(subgraphResult, 'barycenter')) { mergeBarycenters(entry, subgraphResult); } } @@ -3133,11 +3133,11 @@ function sortSubgraph(g, v, cg, biasRight) { var result = sort(entries, biasRight); if (bl) { - result.vs = flatten/* default */.Z([bl, result.vs, br]); + result.vs = flatten/* default */.c([bl, result.vs, br]); if (g.predecessors(bl).length) { var blPred = g.node(g.predecessors(bl)[0]), brPred = g.node(g.predecessors(br)[0]); - if (!has/* default */.Z(result, 'barycenter')) { + if (!has/* default */.c(result, 'barycenter')) { result.barycenter = 0; result.weight = 0; } @@ -3151,8 +3151,8 @@ function sortSubgraph(g, v, cg, biasRight) { } function expandSubgraphs(entries, subgraphs) { - forEach/* default */.Z(entries, function (entry) { - entry.vs = flatten/* default */.Z( + forEach/* default */.c(entries, function (entry) { + entry.vs = flatten/* default */.c( entry.vs.map(function (v) { if (subgraphs[v]) { return subgraphs[v].vs; @@ -3164,7 +3164,7 @@ function expandSubgraphs(entries, subgraphs) { } function mergeBarycenters(target, other) { - if (!isUndefined/* default */.Z(target.barycenter)) { + if (!isUndefined/* default */.c(target.barycenter)) { target.barycenter = (target.barycenter * target.weight + other.barycenter * other.weight) / (target.weight + other.weight); @@ -3204,8 +3204,8 @@ function mergeBarycenters(target, other) { */ function order(g) { var maxRank = util_maxRank(g), - downLayerGraphs = buildLayerGraphs(g, range/* default */.Z(1, maxRank + 1), 'inEdges'), - upLayerGraphs = buildLayerGraphs(g, range/* default */.Z(maxRank - 1, -1, -1), 'outEdges'); + downLayerGraphs = buildLayerGraphs(g, range/* default */.c(1, maxRank + 1), 'inEdges'), + upLayerGraphs = buildLayerGraphs(g, range/* default */.c(maxRank - 1, -1, -1), 'outEdges'); var layering = initOrder(g); assignOrder(g, layering); @@ -3229,17 +3229,17 @@ function order(g) { } function buildLayerGraphs(g, ranks, relationship) { - return map/* default */.Z(ranks, function (rank) { + return map/* default */.c(ranks, function (rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { - var cg = new graphlib/* Graph */.k(); - forEach/* default */.Z(layerGraphs, function (lg) { + var cg = new graphlib/* Graph */.M(); + forEach/* default */.c(layerGraphs, function (lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); - forEach/* default */.Z(sorted.vs, function (v, i) { + forEach/* default */.c(sorted.vs, function (v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); @@ -3247,8 +3247,8 @@ function sweepLayerGraphs(layerGraphs, biasRight) { } function assignOrder(g, layering) { - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, i) { g.node(v).order = i; }); }); @@ -3262,7 +3262,7 @@ function assignOrder(g, layering) { function parentDummyChains(g) { var postorderNums = parent_dummy_chains_postorder(g); - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var edgeObj = node.edgeObj; var pathData = findPath(g, postorderNums, edgeObj.v, edgeObj.w); @@ -3334,16 +3334,16 @@ function parent_dummy_chains_postorder(g) { function dfs(v) { var low = lim; - forEach/* default */.Z(g.children(v), dfs); + forEach/* default */.c(g.children(v), dfs); result[v] = { low: low, lim: lim++ }; } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); return result; } // EXTERNAL MODULE: ./node_modules/lodash-es/_castFunction.js -var _castFunction = __webpack_require__(68882); +var _castFunction = __webpack_require__(12176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forOwn.js @@ -3377,15 +3377,15 @@ var _castFunction = __webpack_require__(68882); * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forOwn(object, iteratee) { - return object && (0,_baseForOwn/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee)); + return object && (0,_baseForOwn/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee)); } /* harmony default export */ const lodash_es_forOwn = (forOwn); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFor.js + 1 modules -var _baseFor = __webpack_require__(61395); +var _baseFor = __webpack_require__(19004); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forIn.js @@ -3422,7 +3422,7 @@ var keysIn = __webpack_require__(32957); function forIn(object, iteratee) { return object == null ? object - : (0,_baseFor/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee), keysIn/* default */.Z); + : (0,_baseFor/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee), keysIn/* default */.c); } /* harmony default export */ const lodash_es_forIn = (forIn); @@ -3469,13 +3469,13 @@ function findType1Conflicts(g, layering) { prevLayerLength = prevLayer.length, lastNode = lodash_es_last(layer); - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var w = findOtherInnerSegmentNode(g, v), k1 = w ? g.node(w).order : prevLayerLength; if (w || v === lastNode) { - forEach/* default */.Z(layer.slice(scanPos, i + 1), function (scanNode) { - forEach/* default */.Z(g.predecessors(scanNode), function (u) { + forEach/* default */.c(layer.slice(scanPos, i + 1), function (scanNode) { + forEach/* default */.c(g.predecessors(scanNode), function (u) { var uLabel = g.node(u), uPos = uLabel.order; if ((uPos < k0 || k1 < uPos) && !(uLabel.dummy && g.node(scanNode).dummy)) { @@ -3492,7 +3492,7 @@ function findType1Conflicts(g, layering) { return layer; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3501,10 +3501,10 @@ function findType2Conflicts(g, layering) { function scan(south, southPos, southEnd, prevNorthBorder, nextNorthBorder) { var v; - forEach/* default */.Z(range/* default */.Z(southPos, southEnd), function (i) { + forEach/* default */.c(range/* default */.c(southPos, southEnd), function (i) { v = south[i]; if (g.node(v).dummy) { - forEach/* default */.Z(g.predecessors(v), function (u) { + forEach/* default */.c(g.predecessors(v), function (u) { var uNode = g.node(u); if (uNode.dummy && (uNode.order < prevNorthBorder || uNode.order > nextNorthBorder)) { addConflict(conflicts, u, v); @@ -3519,7 +3519,7 @@ function findType2Conflicts(g, layering) { nextNorthPos, southPos = 0; - forEach/* default */.Z(south, function (v, southLookahead) { + forEach/* default */.c(south, function (v, southLookahead) { if (g.node(v).dummy === 'border') { var predecessors = g.predecessors(v); if (predecessors.length) { @@ -3536,7 +3536,7 @@ function findType2Conflicts(g, layering) { return south; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3568,7 +3568,7 @@ function hasConflict(conflicts, v, w) { v = w; w = tmp; } - return has/* default */.Z(conflicts[v], w); + return has/* default */.c(conflicts[v], w); } /* @@ -3587,17 +3587,17 @@ function verticalAlignment(g, layering, conflicts, neighborFn) { // We cache the position here based on the layering because the graph and // layering may be out of sync. The layering matrix is manipulated to // generate different extreme alignments. - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, order) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, order) { root[v] = v; align[v] = v; pos[v] = order; }); }); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var prevIdx = -1; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var ws = neighborFn(v); if (ws.length) { ws = lodash_es_sortBy(ws, function (w) { @@ -3669,7 +3669,7 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { iterate(pass2, blockG.successors.bind(blockG)); // Assign x coordinates to all nodes - forEach/* default */.Z(align, function (v) { + forEach/* default */.c(align, function (v) { xs[v] = xs[root[v]]; }); @@ -3677,13 +3677,13 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { } function buildBlockGraph(g, layering, root, reverseSep) { - var blockGraph = new graphlib/* Graph */.k(), + var blockGraph = new graphlib/* Graph */.M(), graphLabel = g.graph(), sepFn = sep(graphLabel.nodesep, graphLabel.edgesep, reverseSep); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var u; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var vRoot = root[v]; blockGraph.setNode(vRoot); if (u) { @@ -3702,7 +3702,7 @@ function buildBlockGraph(g, layering, root, reverseSep) { * Returns the alignment that has the smallest width of the given alignments. */ function findSmallestWidthAlignment(g, xss) { - return lodash_es_minBy(values/* default */.Z(xss), function (xs) { + return lodash_es_minBy(values/* default */.c(xss), function (xs) { var max = Number.NEGATIVE_INFINITY; var min = Number.POSITIVE_INFINITY; @@ -3725,18 +3725,18 @@ function findSmallestWidthAlignment(g, xss) { * coordinate of the smallest width alignment. */ function alignCoordinates(xss, alignTo) { - var alignToVals = values/* default */.Z(alignTo), + var alignToVals = values/* default */.c(alignTo), alignToMin = lodash_es_min(alignToVals), alignToMax = lodash_es_max(alignToVals); - forEach/* default */.Z(['u', 'd'], function (vert) { - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + forEach/* default */.c(['l', 'r'], function (horiz) { var alignment = vert + horiz, xs = xss[alignment], delta; if (xs === alignTo) return; - var xsVals = values/* default */.Z(xs); + var xsVals = values/* default */.c(xs); delta = horiz === 'l' ? alignToMin - lodash_es_min(xsVals) : alignToMax - lodash_es_max(xsVals); if (delta) { @@ -3753,7 +3753,7 @@ function balance(xss, align) { if (align) { return xss[align.toLowerCase()][v]; } else { - var xs = lodash_es_sortBy(map/* default */.Z(xss, v)); + var xs = lodash_es_sortBy(map/* default */.c(xss, v)); return (xs[1] + xs[2]) / 2; } }); @@ -3761,16 +3761,16 @@ function balance(xss, align) { function positionX(g) { var layering = buildLayerMatrix(g); - var conflicts = merge/* default */.Z(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); + var conflicts = merge/* default */.c(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); var xss = {}; var adjustedLayering; - forEach/* default */.Z(['u', 'd'], function (vert) { - adjustedLayering = vert === 'u' ? layering : values/* default */.Z(layering).reverse(); - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + adjustedLayering = vert === 'u' ? layering : values/* default */.c(layering).reverse(); + forEach/* default */.c(['l', 'r'], function (horiz) { if (horiz === 'r') { - adjustedLayering = map/* default */.Z(adjustedLayering, function (inner) { - return values/* default */.Z(inner).reverse(); + adjustedLayering = map/* default */.c(adjustedLayering, function (inner) { + return values/* default */.c(inner).reverse(); }); } @@ -3799,7 +3799,7 @@ function sep(nodeSep, edgeSep, reverseSep) { var delta; sum += vLabel.width / 2; - if (has/* default */.Z(vLabel, 'labelpos')) { + if (has/* default */.c(vLabel, 'labelpos')) { switch (vLabel.labelpos.toLowerCase()) { case 'l': delta = -vLabel.width / 2; @@ -3818,7 +3818,7 @@ function sep(nodeSep, edgeSep, reverseSep) { sum += (wLabel.dummy ? edgeSep : nodeSep) / 2; sum += wLabel.width / 2; - if (has/* default */.Z(wLabel, 'labelpos')) { + if (has/* default */.c(wLabel, 'labelpos')) { switch (wLabel.labelpos.toLowerCase()) { case 'l': delta = wLabel.width / 2; @@ -3861,13 +3861,13 @@ function positionY(g) { var layering = buildLayerMatrix(g); var rankSep = g.graph().ranksep; var prevY = 0; - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var maxHeight = lodash_es_max( - map/* default */.Z(layer, function (v) { + map/* default */.c(layer, function (v) { return g.node(v).height; }) ); - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { g.node(v).y = prevY + maxHeight / 2; }); prevY += maxHeight + rankSep; @@ -3996,7 +3996,7 @@ function runLayout(g, time) { * attributes can influence layout. */ function updateInputGraph(inputGraph, layoutGraph) { - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var inputLabel = inputGraph.node(v); var layoutLabel = layoutGraph.node(v); @@ -4011,12 +4011,12 @@ function updateInputGraph(inputGraph, layoutGraph) { } }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var inputLabel = inputGraph.edge(e); var layoutLabel = layoutGraph.edge(e); inputLabel.points = layoutLabel.points; - if (has/* default */.Z(layoutLabel, 'x')) { + if (has/* default */.c(layoutLabel, 'x')) { inputLabel.x = layoutLabel.x; inputLabel.y = layoutLabel.y; } @@ -4049,24 +4049,24 @@ var edgeAttrs = ['labelpos']; * attributes can influence layout. */ function buildLayoutGraph(inputGraph) { - var g = new graphlib/* Graph */.k({ multigraph: true, compound: true }); + var g = new graphlib/* Graph */.M({ multigraph: true, compound: true }); var graph = canonicalize(inputGraph.graph()); g.setGraph( - merge/* default */.Z({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.Z(graph, graphAttrs)) + merge/* default */.c({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.c(graph, graphAttrs)) ); - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var node = canonicalize(inputGraph.node(v)); - g.setNode(v, defaults/* default */.Z(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); + g.setNode(v, defaults/* default */.c(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); g.setParent(v, inputGraph.parent(v)); }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var edge = canonicalize(inputGraph.edge(e)); g.setEdge( e, - merge/* default */.Z({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.Z(edge, edgeAttrs)) + merge/* default */.c({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.c(edge, edgeAttrs)) ); }); @@ -4084,7 +4084,7 @@ function buildLayoutGraph(inputGraph) { function makeSpaceForEdgeLabels(g) { var graph = g.graph(); graph.ranksep /= 2; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); edge.minlen *= 2; if (edge.labelpos.toLowerCase() !== 'c') { @@ -4104,7 +4104,7 @@ function makeSpaceForEdgeLabels(g) { * label's position. */ function injectEdgeLabelProxies(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.width && edge.height) { var v = g.node(e.v); @@ -4117,7 +4117,7 @@ function injectEdgeLabelProxies(g) { function assignRankMinMax(g) { var maxRank = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.borderTop) { node.minRank = g.node(node.borderTop).rank; @@ -4130,7 +4130,7 @@ function assignRankMinMax(g) { } function removeEdgeLabelProxies(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'edge-proxy') { g.edge(node.e).labelRank = node.rank; @@ -4159,12 +4159,12 @@ function translateGraph(g) { maxY = Math.max(maxY, y + h / 2); } - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { getExtremes(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { getExtremes(edge); } }); @@ -4172,22 +4172,22 @@ function translateGraph(g) { minX -= marginX; minY -= marginY; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); node.x -= minX; node.y -= minY; }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, function (p) { + forEach/* default */.c(edge.points, function (p) { p.x -= minX; p.y -= minY; }); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { edge.x -= minX; } - if (has/* default */.Z(edge, 'y')) { + if (has/* default */.c(edge, 'y')) { edge.y -= minY; } }); @@ -4197,7 +4197,7 @@ function translateGraph(g) { } function assignNodeIntersects(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); var nodeV = g.node(e.v); var nodeW = g.node(e.w); @@ -4216,9 +4216,9 @@ function assignNodeIntersects(g) { } function fixupEdgeLabelCoords(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { if (edge.labelpos === 'l' || edge.labelpos === 'r') { edge.width -= edge.labeloffset; } @@ -4235,7 +4235,7 @@ function fixupEdgeLabelCoords(g) { } function reversePointsForReversedEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.reversed) { edge.points.reverse(); @@ -4244,7 +4244,7 @@ function reversePointsForReversedEdges(g) { } function removeBorderNodes(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.children(v).length) { var node = g.node(v); var t = g.node(node.borderTop); @@ -4259,7 +4259,7 @@ function removeBorderNodes(g) { } }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.node(v).dummy === 'border') { g.removeNode(v); } @@ -4267,7 +4267,7 @@ function removeBorderNodes(g) { } function removeSelfEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { if (e.v === e.w) { var node = g.node(e.v); if (!node.selfEdges) { @@ -4281,12 +4281,12 @@ function removeSelfEdges(g) { function insertSelfEdges(g) { var layers = buildLayerMatrix(g); - forEach/* default */.Z(layers, function (layer) { + forEach/* default */.c(layers, function (layer) { var orderShift = 0; - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var node = g.node(v); node.order = i + orderShift; - forEach/* default */.Z(node.selfEdges, function (selfEdge) { + forEach/* default */.c(node.selfEdges, function (selfEdge) { addDummyNode( g, 'selfedge', @@ -4307,7 +4307,7 @@ function insertSelfEdges(g) { } function positionSelfEdges(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'selfedge') { var selfNode = g.node(node.e.v); @@ -4331,12 +4331,12 @@ function positionSelfEdges(g) { } function selectNumberAttrs(obj, attrs) { - return lodash_es_mapValues(pick/* default */.Z(obj, attrs), Number); + return lodash_es_mapValues(pick/* default */.c(obj, attrs), Number); } function canonicalize(attrs) { var newAttrs = {}; - forEach/* default */.Z(attrs, function (v, k) { + forEach/* default */.c(attrs, function (v, k) { newAttrs[k.toLowerCase()] = v; }); return newAttrs; @@ -4353,39 +4353,39 @@ function canonicalize(attrs) { /***/ }), -/***/ 52544: +/***/ 58048: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - k: () => (/* binding */ Graph) + M: () => (/* binding */ Graph) }); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/isFunction.js -var isFunction = __webpack_require__(73234); +var isFunction = __webpack_require__(59680); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); // EXTERNAL MODULE: ./node_modules/lodash-es/isEmpty.js -var isEmpty = __webpack_require__(79697); +var isEmpty = __webpack_require__(28796); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsNaN.js /** * The base implementation of `_.isNaN` without support for number objects. @@ -4442,7 +4442,7 @@ function strictIndexOf(array, value, fromIndex) { function baseIndexOf(array, value, fromIndex) { return value === value ? _strictIndexOf(array, value, fromIndex) - : (0,_baseFindIndex/* default */.Z)(array, _baseIsNaN, fromIndex); + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); } /* harmony default export */ const _baseIndexOf = (baseIndexOf); @@ -4491,9 +4491,9 @@ function arrayIncludesWith(array, value, comparator) { /* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); // EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js -var _Set = __webpack_require__(93203); +var _Set = __webpack_require__(61268); ;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js /** * This method returns `undefined`. @@ -4514,7 +4514,7 @@ function noop() { /* harmony default export */ const lodash_es_noop = (noop); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js @@ -4530,8 +4530,8 @@ var INFINITY = 1 / 0; * @param {Array} values The values to add to the set. * @returns {Object} Returns the new set. */ -var createSet = !(_Set/* default */.Z && (1 / (0,_setToArray/* default */.Z)(new _Set/* default */.Z([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { - return new _Set/* default */.Z(values); +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); }; /* harmony default export */ const _createSet = (createSet); @@ -4571,11 +4571,11 @@ function baseUniq(array, iteratee, comparator) { else if (length >= LARGE_ARRAY_SIZE) { var set = iteratee ? null : _createSet(array); if (set) { - return (0,_setToArray/* default */.Z)(set); + return (0,_setToArray/* default */.c)(set); } isCommon = false; - includes = _cacheHas/* default */.Z; - seen = new _SetCache/* default */.Z; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; } else { seen = iteratee ? [] : result; @@ -4611,7 +4611,7 @@ function baseUniq(array, iteratee, comparator) { /* harmony default export */ const _baseUniq = (baseUniq); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js -var isArrayLikeObject = __webpack_require__(836); +var isArrayLikeObject = __webpack_require__(19724); ;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js @@ -4634,16 +4634,16 @@ var isArrayLikeObject = __webpack_require__(836); * _.union([2], [1, 2]); * // => [2, 1] */ -var union = (0,_baseRest/* default */.Z)(function(arrays) { - return _baseUniq((0,_baseFlatten/* default */.Z)(arrays, 1, isArrayLikeObject/* default */.Z, true)); +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); }); /* harmony default export */ const lodash_es_union = (union); // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js @@ -4672,18 +4672,18 @@ var EDGE_KEY_DELIM = '\x01'; // we're going to get to a performant hashtable in JavaScript. class Graph { constructor(opts = {}) { - this._isDirected = has/* default */.Z(opts, 'directed') ? opts.directed : true; - this._isMultigraph = has/* default */.Z(opts, 'multigraph') ? opts.multigraph : false; - this._isCompound = has/* default */.Z(opts, 'compound') ? opts.compound : false; + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; // Label for the graph itself this._label = undefined; // Defaults to be set when creating a new node - this._defaultNodeLabelFn = constant/* default */.Z(undefined); + this._defaultNodeLabelFn = constant/* default */.c(undefined); // Defaults to be set when creating a new edge - this._defaultEdgeLabelFn = constant/* default */.Z(undefined); + this._defaultEdgeLabelFn = constant/* default */.c(undefined); // v -> label this._nodes = {}; @@ -4734,8 +4734,8 @@ class Graph { } /* === Node functions ========== */ setDefaultNodeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultNodeLabelFn = newDefault; return this; @@ -4744,24 +4744,24 @@ class Graph { return this._nodeCount; } nodes() { - return keys/* default */.Z(this._nodes); + return keys/* default */.c(this._nodes); } sources() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._in[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); }); } sinks() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._out[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); }); } setNodes(vs, value) { var args = arguments; var self = this; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (args.length > 1) { self.setNode(v, value); } else { @@ -4771,7 +4771,7 @@ class Graph { return this; } setNode(v, value) { - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { if (arguments.length > 1) { this._nodes[v] = value; } @@ -4796,11 +4796,11 @@ class Graph { return this._nodes[v]; } hasNode(v) { - return has/* default */.Z(this._nodes, v); + return has/* default */.c(this._nodes, v); } removeNode(v) { var self = this; - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { var removeEdge = function (e) { self.removeEdge(self._edgeObjs[e]); }; @@ -4808,15 +4808,15 @@ class Graph { if (this._isCompound) { this._removeFromParentsChildList(v); delete this._parent[v]; - forEach/* default */.Z(this.children(v), function (child) { + forEach/* default */.c(this.children(v), function (child) { self.setParent(child); }); delete this._children[v]; } - forEach/* default */.Z(keys/* default */.Z(this._in[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); delete this._in[v]; delete this._preds[v]; - forEach/* default */.Z(keys/* default */.Z(this._out[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); delete this._out[v]; delete this._sucs[v]; --this._nodeCount; @@ -4828,12 +4828,12 @@ class Graph { throw new Error('Cannot set parent in a non-compound graph'); } - if (isUndefined/* default */.Z(parent)) { + if (isUndefined/* default */.c(parent)) { parent = GRAPH_NODE; } else { // Coerce parent to string parent += ''; - for (var ancestor = parent; !isUndefined/* default */.Z(ancestor); ancestor = this.parent(ancestor)) { + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { if (ancestor === v) { throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); } @@ -4860,14 +4860,14 @@ class Graph { } } children(v) { - if (isUndefined/* default */.Z(v)) { + if (isUndefined/* default */.c(v)) { v = GRAPH_NODE; } if (this._isCompound) { var children = this._children[v]; if (children) { - return keys/* default */.Z(children); + return keys/* default */.c(children); } } else if (v === GRAPH_NODE) { return this.nodes(); @@ -4878,13 +4878,13 @@ class Graph { predecessors(v) { var predsV = this._preds[v]; if (predsV) { - return keys/* default */.Z(predsV); + return keys/* default */.c(predsV); } } successors(v) { var sucsV = this._sucs[v]; if (sucsV) { - return keys/* default */.Z(sucsV); + return keys/* default */.c(sucsV); } } neighbors(v) { @@ -4913,13 +4913,13 @@ class Graph { copy.setGraph(this.graph()); var self = this; - forEach/* default */.Z(this._nodes, function (value, v) { + forEach/* default */.c(this._nodes, function (value, v) { if (filter(v)) { copy.setNode(v, value); } }); - forEach/* default */.Z(this._edgeObjs, function (e) { + forEach/* default */.c(this._edgeObjs, function (e) { // @ts-expect-error if (copy.hasNode(e.v) && copy.hasNode(e.w)) { copy.setEdge(e, self.edge(e)); @@ -4940,7 +4940,7 @@ class Graph { } if (this._isCompound) { - forEach/* default */.Z(copy.nodes(), function (v) { + forEach/* default */.c(copy.nodes(), function (v) { copy.setParent(v, findParent(v)); }); } @@ -4949,8 +4949,8 @@ class Graph { } /* === Edge functions ========== */ setDefaultEdgeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultEdgeLabelFn = newDefault; return this; @@ -4959,12 +4959,12 @@ class Graph { return this._edgeCount; } edges() { - return values/* default */.Z(this._edgeObjs); + return values/* default */.c(this._edgeObjs); } setPath(vs, value) { var self = this; var args = arguments; - reduce/* default */.Z(vs, function (v, w) { + reduce/* default */.c(vs, function (v, w) { if (args.length > 1) { self.setEdge(v, w, value); } else { @@ -5003,19 +5003,19 @@ class Graph { v = '' + v; w = '' + w; - if (!isUndefined/* default */.Z(name)) { + if (!isUndefined/* default */.c(name)) { name = '' + name; } var e = edgeArgsToId(this._isDirected, v, w, name); - if (has/* default */.Z(this._edgeLabels, e)) { + if (has/* default */.c(this._edgeLabels, e)) { if (valueSpecified) { this._edgeLabels[e] = value; } return this; } - if (!isUndefined/* default */.Z(name) && !this._isMultigraph) { + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { throw new Error('Cannot set a named edge when isMultigraph = false'); } @@ -5053,7 +5053,7 @@ class Graph { arguments.length === 1 ? edgeObjToId(this._isDirected, arguments[0]) : edgeArgsToId(this._isDirected, v, w, name); - return has/* default */.Z(this._edgeLabels, e); + return has/* default */.c(this._edgeLabels, e); } removeEdge(v, w, name) { var e = @@ -5077,11 +5077,11 @@ class Graph { inEdges(v, u) { var inV = this._in[v]; if (inV) { - var edges = values/* default */.Z(inV); + var edges = values/* default */.c(inV); if (!u) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.v === u; }); } @@ -5089,11 +5089,11 @@ class Graph { outEdges(v, w) { var outV = this._out[v]; if (outV) { - var edges = values/* default */.Z(outV); + var edges = values/* default */.c(outV); if (!w) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.w === w; }); } @@ -5134,7 +5134,7 @@ function edgeArgsToId(isDirected, v_, w_, name) { v = w; w = tmp; } - return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.Z(name) ? DEFAULT_EDGE_NAME : name); + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); } function edgeArgsToObj(isDirected, v_, w_, name) { @@ -5159,14 +5159,14 @@ function edgeObjToId(isDirected, edgeObj) { /***/ }), -/***/ 45625: +/***/ 95536: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ k: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.k) +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) /* harmony export */ }); /* unused harmony export version */ -/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(52544); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); // Includes only the "core" of graphlib @@ -5178,64 +5178,17 @@ const version = '2.1.9-pre'; /***/ }), -/***/ 39354: +/***/ 41520: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { - -// EXPORTS -__webpack_require__.d(__webpack_exports__, { - c: () => (/* binding */ write) -}); - -// UNUSED EXPORTS: read - -// EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); -// EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); -;// CONCATENATED MODULE: ./node_modules/lodash-es/clone.js - - -/** Used to compose bitmasks for cloning. */ -var CLONE_SYMBOLS_FLAG = 4; - -/** - * Creates a shallow clone of `value`. - * - * **Note:** This method is loosely based on the - * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) - * and supports cloning arrays, array buffers, booleans, date objects, maps, - * numbers, `Object` objects, regexes, sets, strings, symbols, and typed - * arrays. The own enumerable properties of `arguments` objects are cloned - * as plain objects. An empty object is returned for uncloneable values such - * as error objects, functions, DOM nodes, and WeakMaps. - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Lang - * @param {*} value The value to clone. - * @returns {*} Returns the cloned value. - * @see _.cloneDeep - * @example - * - * var objects = [{ 'a': 1 }, { 'b': 2 }]; - * - * var shallow = _.clone(objects); - * console.log(shallow[0] === objects[0]); - * // => true - */ -function clone(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_SYMBOLS_FLAG); -} - -/* harmony default export */ const lodash_es_clone = (clone); - -// EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); -;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/json.js +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ G: () => (/* binding */ write) +/* harmony export */ }); +/* unused harmony export read */ +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(60372); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(77784); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(92696); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); @@ -5251,21 +5204,21 @@ function write(g) { nodes: writeNodes(g), edges: writeEdges(g), }; - if (!isUndefined/* default */.Z(g.graph())) { - json.value = lodash_es_clone(g.graph()); + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(g.graph())) { + json.value = lodash_es__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c(g.graph()); } return json; } function writeNodes(g) { - return map/* default */.Z(g.nodes(), function (v) { + return lodash_es__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c(g.nodes(), function (v) { var nodeValue = g.node(v); var parent = g.parent(v); var node = { v: v }; - if (!isUndefined/* default */.Z(nodeValue)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(nodeValue)) { node.value = nodeValue; } - if (!isUndefined/* default */.Z(parent)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(parent)) { node.parent = parent; } return node; @@ -5273,13 +5226,13 @@ function writeNodes(g) { } function writeEdges(g) { - return map/* default */.Z(g.edges(), function (e) { + return lodash_es__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c(g.edges(), function (e) { var edgeValue = g.edge(e); var edge = { v: e.v, w: e.w }; - if (!isUndefined/* default */.Z(e.name)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(e.name)) { edge.name = e.name; } - if (!isUndefined/* default */.Z(edgeValue)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(edgeValue)) { edge.value = edgeValue; } return edge; @@ -5303,17 +5256,17 @@ function read(json) { /***/ }), -/***/ 63001: +/***/ 34528: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _SetCache) + c: () => (/* binding */ _SetCache) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules -var _MapCache = __webpack_require__(37834); +var _MapCache = __webpack_require__(86320); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; @@ -5368,7 +5321,7 @@ function SetCache(values) { var index = -1, length = values == null ? 0 : values.length; - this.__data__ = new _MapCache/* default */.Z; + this.__data__ = new _MapCache/* default */.c; while (++index < length) { this.add(values[index]); } @@ -5383,11 +5336,11 @@ SetCache.prototype.has = _setCacheHas; /***/ }), -/***/ 76579: +/***/ 56812: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.forEach` for arrays without support for @@ -5415,11 +5368,11 @@ function arrayEach(array, iteratee) { /***/ }), -/***/ 68774: +/***/ 46091: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.filter` for arrays without support for @@ -5450,11 +5403,11 @@ function arrayFilter(array, predicate) { /***/ }), -/***/ 74073: +/***/ 1304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.map` for arrays without support for iteratee @@ -5481,11 +5434,11 @@ function arrayMap(array, iteratee) { /***/ }), -/***/ 58694: +/***/ 25072: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Appends the elements of `values` to `array`. @@ -5511,25 +5464,25 @@ function arrayPush(array, values) { /***/ }), -/***/ 48451: +/***/ 48492: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseClone) + c: () => (/* binding */ _baseClone) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js -var _arrayEach = __webpack_require__(76579); +var _arrayEach = __webpack_require__(56812); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js -var _copyObject = __webpack_require__(31899); +var _copyObject = __webpack_require__(58904); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js @@ -5544,13 +5497,13 @@ var keys = __webpack_require__(17179); * @returns {Object} Returns `object`. */ function baseAssign(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keys/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); } /* harmony default export */ const _baseAssign = (baseAssign); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js @@ -5565,17 +5518,17 @@ var keysIn = __webpack_require__(32957); * @returns {Object} Returns `object`. */ function baseAssignIn(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keysIn/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); } /* harmony default export */ const _baseAssignIn = (baseAssignIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js -var _cloneBuffer = __webpack_require__(91050); +var _cloneBuffer = __webpack_require__(86656); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js -var _copyArray = __webpack_require__(87215); +var _copyArray = __webpack_require__(32488); // EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js -var _getSymbols = __webpack_require__(95695); +var _getSymbols = __webpack_require__(10772); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js @@ -5589,17 +5542,17 @@ var _getSymbols = __webpack_require__(95695); * @returns {Object} Returns `object`. */ function copySymbols(source, object) { - return (0,_copyObject/* default */.Z)(source, (0,_getSymbols/* default */.Z)(source), object); + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); } /* harmony default export */ const _copySymbols = (copySymbols); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js -var _getPrototype = __webpack_require__(12513); +var _getPrototype = __webpack_require__(75388); // EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js -var stubArray = __webpack_require__(60532); +var stubArray = __webpack_require__(41716); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js @@ -5616,11 +5569,11 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(object) { +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { var result = []; while (object) { - (0,_arrayPush/* default */.Z)(result, (0,_getSymbols/* default */.Z)(object)); - object = (0,_getPrototype/* default */.Z)(object); + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); } return result; }; @@ -5640,15 +5593,15 @@ var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(objec * @returns {Object} Returns `object`. */ function copySymbolsIn(source, object) { - return (0,_copyObject/* default */.Z)(source, _getSymbolsIn(source), object); + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); } /* harmony default export */ const _copySymbolsIn = (copySymbolsIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js -var _baseGetAllKeys = __webpack_require__(63327); +var _baseGetAllKeys = __webpack_require__(30176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js @@ -5663,13 +5616,13 @@ var _baseGetAllKeys = __webpack_require__(63327); * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { - return (0,_baseGetAllKeys/* default */.Z)(object, keysIn/* default */.Z, _getSymbolsIn); + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); } /* harmony default export */ const _getAllKeysIn = (getAllKeysIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js /** Used for built-in method references. */ var objectProto = Object.prototype; @@ -5699,7 +5652,7 @@ function initCloneArray(array) { /* harmony default export */ const _initCloneArray = (initCloneArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js -var _cloneArrayBuffer = __webpack_require__(41884); +var _cloneArrayBuffer = __webpack_require__(40976); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js @@ -5712,7 +5665,7 @@ var _cloneArrayBuffer = __webpack_require__(41884); * @returns {Object} Returns the cloned data view. */ function cloneDataView(dataView, isDeep) { - var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.Z)(dataView.buffer) : dataView.buffer; + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); } @@ -5738,12 +5691,12 @@ function cloneRegExp(regexp) { /* harmony default export */ const _cloneRegExp = (cloneRegExp); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -5760,7 +5713,7 @@ function cloneSymbol(symbol) { /* harmony default export */ const _cloneSymbol = (cloneSymbol); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js -var _cloneTypedArray = __webpack_require__(12701); +var _cloneTypedArray = __webpack_require__(70552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js @@ -5806,7 +5759,7 @@ function initCloneByTag(object, tag, isDeep) { var Ctor = object.constructor; switch (tag) { case arrayBufferTag: - return (0,_cloneArrayBuffer/* default */.Z)(object); + return (0,_cloneArrayBuffer/* default */.c)(object); case boolTag: case dateTag: @@ -5818,7 +5771,7 @@ function initCloneByTag(object, tag, isDeep) { case float32Tag: case float64Tag: case int8Tag: case int16Tag: case int32Tag: case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: - return (0,_cloneTypedArray/* default */.Z)(object, isDeep); + return (0,_cloneTypedArray/* default */.c)(object, isDeep); case mapTag: return new Ctor; @@ -5841,13 +5794,13 @@ function initCloneByTag(object, tag, isDeep) { /* harmony default export */ const _initCloneByTag = (initCloneByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules -var _initCloneObject = __webpack_require__(73658); +var _initCloneObject = __webpack_require__(1684); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js @@ -5863,22 +5816,22 @@ var _baseIsMap_mapTag = '[object Map]'; * @returns {boolean} Returns `true` if `value` is a map, else `false`. */ function baseIsMap(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsMap_mapTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; } /* harmony default export */ const _baseIsMap = (baseIsMap); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); // EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js -var _nodeUtil = __webpack_require__(98351); +var _nodeUtil = __webpack_require__(17576); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js /* Node.js helper references. */ -var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; /** * Checks if `value` is classified as a `Map` object. @@ -5897,12 +5850,12 @@ var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; * _.isMap(new WeakMap); * // => false */ -var isMap = nodeIsMap ? (0,_baseUnary/* default */.Z)(nodeIsMap) : _baseIsMap; +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; /* harmony default export */ const lodash_es_isMap = (isMap); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js @@ -5918,7 +5871,7 @@ var _baseIsSet_setTag = '[object Set]'; * @returns {boolean} Returns `true` if `value` is a set, else `false`. */ function baseIsSet(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsSet_setTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; } /* harmony default export */ const _baseIsSet = (baseIsSet); @@ -5929,7 +5882,7 @@ function baseIsSet(value) { /* Node.js helper references. */ -var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; /** * Checks if `value` is classified as a `Set` object. @@ -5948,7 +5901,7 @@ var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; * _.isSet(new WeakSet); * // => false */ -var isSet = nodeIsSet ? (0,_baseUnary/* default */.Z)(nodeIsSet) : _baseIsSet; +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; /* harmony default export */ const lodash_es_isSet = (isSet); @@ -6054,24 +6007,24 @@ function baseClone(value, bitmask, customizer, key, object, stack) { if (result !== undefined) { return result; } - if (!(0,isObject/* default */.Z)(value)) { + if (!(0,isObject/* default */.c)(value)) { return value; } - var isArr = (0,isArray/* default */.Z)(value); + var isArr = (0,isArray/* default */.c)(value); if (isArr) { result = _initCloneArray(value); if (!isDeep) { - return (0,_copyArray/* default */.Z)(value, result); + return (0,_copyArray/* default */.c)(value, result); } } else { - var tag = (0,_getTag/* default */.Z)(value), + var tag = (0,_getTag/* default */.c)(value), isFunc = tag == funcTag || tag == genTag; - if ((0,isBuffer/* default */.Z)(value)) { - return (0,_cloneBuffer/* default */.Z)(value, isDeep); + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); } if (tag == objectTag || tag == argsTag || (isFunc && !object)) { - result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.Z)(value); + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); if (!isDeep) { return isFlat ? _copySymbolsIn(value, _baseAssignIn(result, value)) @@ -6085,7 +6038,7 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } } // Check for circular references and return its corresponding clone. - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); var stacked = stack.get(value); if (stacked) { return stacked; @@ -6103,17 +6056,17 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } var keysFunc = isFull - ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.Z) - : (isFlat ? keysIn/* default */.Z : keys/* default */.Z); + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); var props = isArr ? undefined : keysFunc(value); - (0,_arrayEach/* default */.Z)(props || value, function(subValue, key) { + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { if (props) { key = subValue; subValue = value[key]; } // Recursively populate clone (susceptible to call stack limits). - (0,_assignValue/* default */.Z)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); }); return result; } @@ -6123,19 +6076,19 @@ function baseClone(value, bitmask, customizer, key, object, stack) { /***/ }), -/***/ 49811: +/***/ 92816: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseEach) + c: () => (/* binding */ _baseEach) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js @@ -6152,7 +6105,7 @@ function createBaseEach(eachFunc, fromRight) { if (collection == null) { return collection; } - if (!(0,isArrayLike/* default */.Z)(collection)) { + if (!(0,isArrayLike/* default */.c)(collection)) { return eachFunc(collection, iteratee); } var length = collection.length, @@ -6182,18 +6135,18 @@ function createBaseEach(eachFunc, fromRight) { * @param {Function} iteratee The function invoked per iteration. * @returns {Array|Object} Returns `collection`. */ -var baseEach = _createBaseEach(_baseForOwn/* default */.Z); +var baseEach = _createBaseEach(_baseForOwn/* default */.c); /* harmony default export */ const _baseEach = (baseEach); /***/ }), -/***/ 21692: +/***/ 16428: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.findIndex` and `_.findLastIndex` without @@ -6223,30 +6176,30 @@ function baseFindIndex(array, predicate, fromIndex, fromRight) { /***/ }), -/***/ 10626: +/***/ 40571: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseFlatten) + c: () => (/* binding */ _baseFlatten) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules -var isArguments = __webpack_require__(29169); +var isArguments = __webpack_require__(59636); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js /** Built-in value references. */ -var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatSpreadable : undefined; +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; /** * Checks if `value` is a flattenable `arguments` object or array. @@ -6256,7 +6209,7 @@ var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatS * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { - return (0,isArray/* default */.Z)(value) || (0,isArguments/* default */.Z)(value) || + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } @@ -6291,7 +6244,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { - (0,_arrayPush/* default */.Z)(result, value); + (0,_arrayPush/* default */.c)(result, value); } } else if (!isStrict) { result[result.length] = value; @@ -6305,14 +6258,14 @@ function baseFlatten(array, depth, predicate, isStrict, result) { /***/ }), -/***/ 2693: +/***/ 79985: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(61395); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -6325,7 +6278,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { * @returns {Object} Returns `object`. */ function baseForOwn(object, iteratee) { - return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z); + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); @@ -6333,14 +6286,14 @@ function baseForOwn(object, iteratee) { /***/ }), -/***/ 13317: +/***/ 60604: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -6353,13 +6306,13 @@ function baseForOwn(object, iteratee) { * @returns {*} Returns the resolved value. */ function baseGet(object, path) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = 0, length = path.length; while (object != null && index < length) { - object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index++])]; + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; } return (index && index == length) ? object : undefined; } @@ -6369,14 +6322,14 @@ function baseGet(object, path) { /***/ }), -/***/ 63327: +/***/ 30176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(58694); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -6393,7 +6346,7 @@ function baseGet(object, path) { */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); - return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(result, symbolsFunc(object)); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); @@ -6401,19 +6354,19 @@ function baseGetAllKeys(object, keysFunc, symbolsFunc) { /***/ }), -/***/ 74765: +/***/ 91312: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseIteratee) + c: () => (/* binding */ _baseIteratee) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js /** * A specialized version of `_.some` for arrays without support for iteratee @@ -6440,7 +6393,7 @@ function arraySome(array, predicate) { /* harmony default export */ const _arraySome = (arraySome); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js @@ -6479,7 +6432,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { } var index = -1, result = true, - seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.Z : undefined; + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; stack.set(array, other); stack.set(other, array); @@ -6504,7 +6457,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { // Recursively compare arrays (susceptible to call stack limits). if (seen) { if (!_arraySome(other, function(othValue, othIndex) { - if (!(0,_cacheHas/* default */.Z)(seen, othIndex) && + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { return seen.push(othIndex); } @@ -6528,11 +6481,11 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalArrays = (equalArrays); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js -var _Uint8Array = __webpack_require__(84073); +var _Uint8Array = __webpack_require__(91392); // EXTERNAL MODULE: ./node_modules/lodash-es/eq.js -var eq = __webpack_require__(79651); +var eq = __webpack_require__(73048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js /** * Converts `map` to its key-value pairs. @@ -6554,7 +6507,7 @@ function mapToArray(map) { /* harmony default export */ const _mapToArray = (mapToArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js @@ -6582,7 +6535,7 @@ var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]'; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -6614,7 +6567,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case arrayBufferTag: if ((object.byteLength != other.byteLength) || - !equalFunc(new _Uint8Array/* default */.Z(object), new _Uint8Array/* default */.Z(other))) { + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { return false; } return true; @@ -6624,7 +6577,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case numberTag: // Coerce booleans to `1` or `0` and dates to milliseconds. // Invalid dates are coerced to `NaN`. - return (0,eq/* default */.Z)(+object, +other); + return (0,eq/* default */.c)(+object, +other); case errorTag: return object.name == other.name && object.message == other.message; @@ -6641,7 +6594,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case setTag: var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; - convert || (convert = _setToArray/* default */.Z); + convert || (convert = _setToArray/* default */.c); if (object.size != other.size && !isPartial) { return false; @@ -6670,7 +6623,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalByTag = (equalByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js @@ -6698,9 +6651,9 @@ var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; */ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, - objProps = (0,_getAllKeys/* default */.Z)(object), + objProps = (0,_getAllKeys/* default */.c)(object), objLength = objProps.length, - othProps = (0,_getAllKeys/* default */.Z)(other), + othProps = (0,_getAllKeys/* default */.c)(other), othLength = othProps.length; if (objLength != othLength && !isPartial) { @@ -6764,13 +6717,13 @@ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalObjects = (equalObjects); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules -var isTypedArray = __webpack_require__(18843); +var isTypedArray = __webpack_require__(93416); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js @@ -6810,10 +6763,10 @@ var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnPropert * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. */ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { - var objIsArr = (0,isArray/* default */.Z)(object), - othIsArr = (0,isArray/* default */.Z)(other), - objTag = objIsArr ? arrayTag : (0,_getTag/* default */.Z)(object), - othTag = othIsArr ? arrayTag : (0,_getTag/* default */.Z)(other); + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); objTag = objTag == argsTag ? objectTag : objTag; othTag = othTag == argsTag ? objectTag : othTag; @@ -6822,16 +6775,16 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { othIsObj = othTag == objectTag, isSameTag = objTag == othTag; - if (isSameTag && (0,isBuffer/* default */.Z)(object)) { - if (!(0,isBuffer/* default */.Z)(other)) { + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { return false; } objIsArr = true; objIsObj = false; } if (isSameTag && !objIsObj) { - stack || (stack = new _Stack/* default */.Z); - return (objIsArr || (0,isTypedArray/* default */.Z)(object)) + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); } @@ -6843,21 +6796,21 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other; - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); } } if (!isSameTag) { return false; } - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); } /* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js @@ -6880,7 +6833,7 @@ function baseIsEqual(value, other, bitmask, customizer, stack) { if (value === other) { return true; } - if (value == null || other == null || (!(0,isObjectLike/* default */.Z)(value) && !(0,isObjectLike/* default */.Z)(other))) { + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { return value !== value && other !== other; } return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); @@ -6935,7 +6888,7 @@ function baseIsMatch(object, source, matchData, customizer) { return false; } } else { - var stack = new _Stack/* default */.Z; + var stack = new _Stack/* default */.c; if (customizer) { var result = customizer(objValue, srcValue, key, object, source, stack); } @@ -6953,7 +6906,7 @@ function baseIsMatch(object, source, matchData, customizer) { /* harmony default export */ const _baseIsMatch = (baseIsMatch); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js @@ -6966,13 +6919,13 @@ var isObject = __webpack_require__(77226); * equality comparisons, else `false`. */ function isStrictComparable(value) { - return value === value && !(0,isObject/* default */.Z)(value); + return value === value && !(0,isObject/* default */.c)(value); } /* harmony default export */ const _isStrictComparable = (isStrictComparable); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js @@ -6985,7 +6938,7 @@ var keys = __webpack_require__(17179); * @returns {Array} Returns the match data of `object`. */ function getMatchData(object) { - var result = (0,keys/* default */.Z)(object), + var result = (0,keys/* default */.c)(object), length = result.length; while (length--) { @@ -7046,7 +6999,7 @@ function baseMatches(source) { /* harmony default export */ const _baseMatches = (baseMatches); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); ;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js @@ -7076,18 +7029,18 @@ var _baseGet = __webpack_require__(13317); * // => 'default' */ function get(object, path, defaultValue) { - var result = object == null ? undefined : (0,_baseGet/* default */.Z)(object, path); + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); return result === undefined ? defaultValue : result; } /* harmony default export */ const lodash_es_get = (get); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js @@ -7110,13 +7063,13 @@ var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, * @returns {Function} Returns the new spec function. */ function baseMatchesProperty(path, srcValue) { - if ((0,_isKey/* default */.Z)(path) && _isStrictComparable(srcValue)) { - return _matchesStrictComparable((0,_toKey/* default */.Z)(path), srcValue); + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); } return function(object) { var objValue = lodash_es_get(object, path); return (objValue === undefined && objValue === srcValue) - ? (0,hasIn/* default */.Z)(object, path) + ? (0,hasIn/* default */.c)(object, path) : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); }; } @@ -7124,9 +7077,9 @@ function baseMatchesProperty(path, srcValue) { /* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js @@ -7139,7 +7092,7 @@ var _baseProperty = __webpack_require__(54193); */ function basePropertyDeep(path) { return function(object) { - return (0,_baseGet/* default */.Z)(object, path); + return (0,_baseGet/* default */.c)(object, path); }; } @@ -7174,7 +7127,7 @@ function basePropertyDeep(path) { * // => [1, 2] */ function property(path) { - return (0,_isKey/* default */.Z)(path) ? (0,_baseProperty/* default */.Z)((0,_toKey/* default */.Z)(path)) : _basePropertyDeep(path); + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); } /* harmony default export */ const lodash_es_property = (property); @@ -7200,10 +7153,10 @@ function baseIteratee(value) { return value; } if (value == null) { - return identity/* default */.Z; + return identity/* default */.c; } if (typeof value == 'object') { - return (0,isArray/* default */.Z)(value) + return (0,isArray/* default */.c)(value) ? _baseMatchesProperty(value[0], value[1]) : _baseMatches(value); } @@ -7215,14 +7168,14 @@ function baseIteratee(value) { /***/ }), -/***/ 21018: +/***/ 90360: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(49811); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(92816); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -7236,9 +7189,9 @@ function baseIteratee(value) { */ function baseMap(collection, iteratee) { var index = -1, - result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? Array(collection.length) : []; + result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? Array(collection.length) : []; - (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(collection, function(value, key, collection) { + (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(collection, function(value, key, collection) { result[++index] = iteratee(value, key, collection); }); return result; @@ -7249,11 +7202,11 @@ function baseMap(collection, iteratee) { /***/ }), -/***/ 54193: +/***/ 60472: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.property` without support for deep paths. @@ -7273,11 +7226,11 @@ function baseProperty(key) { /***/ }), -/***/ 59548: +/***/ 5960: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if a `cache` value for `key` exists. @@ -7296,13 +7249,13 @@ function cacheHas(cache, key) { /***/ }), -/***/ 68882: +/***/ 12176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69203); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); /** @@ -7313,7 +7266,7 @@ function cacheHas(cache, key) { * @returns {Function} Returns cast function. */ function castFunction(value) { - return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z; + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); @@ -7321,21 +7274,21 @@ function castFunction(value) { /***/ }), -/***/ 22823: +/***/ 58356: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _castPath) + c: () => (/* binding */ _castPath) }); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js -var memoize = __webpack_require__(42454); +var memoize = __webpack_require__(30528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js @@ -7351,7 +7304,7 @@ var MAX_MEMOIZE_SIZE = 500; * @returns {Function} Returns the new memoized function. */ function memoizeCapped(func) { - var result = (0,memoize/* default */.Z)(func, function(key) { + var result = (0,memoize/* default */.c)(func, function(key) { if (cache.size === MAX_MEMOIZE_SIZE) { cache.clear(); } @@ -7394,7 +7347,7 @@ var stringToPath = _memoizeCapped(function(string) { /* harmony default export */ const _stringToPath = (stringToPath); // EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules -var lodash_es_toString = __webpack_require__(50751); +var lodash_es_toString = __webpack_require__(68019); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js @@ -7410,10 +7363,10 @@ var lodash_es_toString = __webpack_require__(50751); * @returns {Array} Returns the cast property path array. */ function castPath(value, object) { - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { return value; } - return (0,_isKey/* default */.Z)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.Z)(value)); + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); } /* harmony default export */ const _castPath = (castPath); @@ -7421,15 +7374,15 @@ function castPath(value, object) { /***/ }), -/***/ 1808: +/***/ 22980: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(63327); -/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95695); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -7442,7 +7395,7 @@ function castPath(value, object) { * @returns {Array} Returns the array of property names and symbols. */ function getAllKeys(object) { - return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z); + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); @@ -7450,14 +7403,14 @@ function getAllKeys(object) { /***/ }), -/***/ 95695: +/***/ 10772: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(68774); -/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(60532); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); @@ -7477,12 +7430,12 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z : function(object) { +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { if (object == null) { return []; } object = Object(object); - return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(nativeGetSymbols(object), function(symbol) { + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { return propertyIsEnumerable.call(object, symbol); }); }; @@ -7492,18 +7445,18 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ /***/ }), -/***/ 16174: +/***/ 18872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(29169); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27771); -/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(56009); -/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(1656); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -7521,14 +7474,14 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ * @returns {boolean} Returns `true` if `path` exists, else `false`. */ function hasPath(object, path, hasFunc) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = -1, length = path.length, result = false; while (++index < length) { - var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index]); + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); if (!(result = object != null && hasFunc(object, key))) { break; } @@ -7538,8 +7491,8 @@ function hasPath(object, path, hasFunc) { return result; } length = object == null ? 0 : object.length; - return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(key, length) && - ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .Z)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .Z)(object)); + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); @@ -7547,14 +7500,14 @@ function hasPath(object, path, hasFunc) { /***/ }), -/***/ 99365: +/***/ 27544: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72714); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); @@ -7571,12 +7524,12 @@ var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, * @returns {boolean} Returns `true` if `value` is a property name, else `false`. */ function isKey(value, object) { - if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return false; } var type = typeof value; if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value)) { + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { return true; } return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || @@ -7588,11 +7541,11 @@ function isKey(value, object) { /***/ }), -/***/ 6545: +/***/ 68872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Converts `set` to an array of its values. @@ -7616,13 +7569,13 @@ function setToArray(set) { /***/ }), -/***/ 62281: +/***/ 32128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(72714); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); /** Used as references for various `Number` constants. */ @@ -7636,7 +7589,7 @@ var INFINITY = 1 / 0; * @returns {string|symbol} Returns the key. */ function toKey(value) { - if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return value; } var result = (value + ''); @@ -7648,16 +7601,63 @@ function toKey(value) { /***/ }), -/***/ 3688: +/***/ 77784: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _baseClone_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(48492); + + +/** Used to compose bitmasks for cloning. */ +var CLONE_SYMBOLS_FLAG = 4; + +/** + * Creates a shallow clone of `value`. + * + * **Note:** This method is loosely based on the + * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) + * and supports cloning arrays, array buffers, booleans, date objects, maps, + * numbers, `Object` objects, regexes, sets, strings, symbols, and typed + * arrays. The own enumerable properties of `arguments` objects are cloned + * as plain objects. An empty object is returned for uncloneable values such + * as error objects, functions, DOM nodes, and WeakMaps. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Lang + * @param {*} value The value to clone. + * @returns {*} Returns the cloned value. + * @see _.cloneDeep + * @example + * + * var objects = [{ 'a': 1 }, { 'b': 2 }]; + * + * var shallow = _.clone(objects); + * console.log(shallow[0] === objects[0]); + * // => true + */ +function clone(value) { + return (0,_baseClone_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value, CLONE_SYMBOLS_FLAG); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (clone); + + +/***/ }), + +/***/ 12804: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69581); -/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(79651); -/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(50439); -/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32957); +/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(34880); +/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(73048); +/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(15552); +/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(97000); @@ -7690,20 +7690,20 @@ var hasOwnProperty = objectProto.hasOwnProperty; * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 }); * // => { 'a': 1, 'b': 2 } */ -var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(function(object, sources) { +var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(function(object, sources) { object = Object(object); var index = -1; var length = sources.length; var guard = length > 2 ? sources[2] : undefined; - if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(sources[0], sources[1], guard)) { + if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(sources[0], sources[1], guard)) { length = 1; } while (++index < length) { var source = sources[index]; - var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(source); + var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(source); var propsIndex = -1; var propsLength = props.length; @@ -7712,7 +7712,7 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) var value = object[key]; if (value === undefined || - ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { + ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { object[key] = source[key]; } } @@ -7726,19 +7726,19 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) /***/ }), -/***/ 13445: +/***/ 55720: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_filter) + c: () => (/* binding */ lodash_es_filter) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js -var _arrayFilter = __webpack_require__(68774); +var _arrayFilter = __webpack_require__(46091); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js @@ -7752,7 +7752,7 @@ var _baseEach = __webpack_require__(49811); */ function baseFilter(collection, predicate) { var result = []; - (0,_baseEach/* default */.Z)(collection, function(value, index, collection) { + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { if (predicate(value, index, collection)) { result.push(value); } @@ -7763,9 +7763,9 @@ function baseFilter(collection, predicate) { /* harmony default export */ const _baseFilter = (baseFilter); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js @@ -7814,8 +7814,8 @@ var isArray = __webpack_require__(27771); * // => objects for ['fred', 'barney'] */ function filter(collection, predicate) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayFilter/* default */.Z : _baseFilter; - return func(collection, (0,_baseIteratee/* default */.Z)(predicate, 3)); + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); } /* harmony default export */ const lodash_es_filter = (filter); @@ -7823,13 +7823,13 @@ function filter(collection, predicate) { /***/ }), -/***/ 27961: +/***/ 9552: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(10626); +/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(40571); /** @@ -7848,7 +7848,7 @@ function filter(collection, predicate) { */ function flatten(array) { var length = array == null ? 0 : array.length; - return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(array, 1) : []; + return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(array, 1) : []; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (flatten); @@ -7856,16 +7856,16 @@ function flatten(array) { /***/ }), -/***/ 70870: +/***/ 50080: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(76579); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(49811); -/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(68882); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -7902,8 +7902,8 @@ function flatten(array) { * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forEach(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); @@ -7911,13 +7911,13 @@ function forEach(collection, iteratee) { /***/ }), -/***/ 17452: +/***/ 7248: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_has) + c: () => (/* binding */ lodash_es_has) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js @@ -7942,7 +7942,7 @@ function baseHas(object, key) { /* harmony default export */ const _baseHas = (baseHas); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js @@ -7975,7 +7975,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function has(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHas); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); } /* harmony default export */ const lodash_es_has = (has); @@ -7983,13 +7983,13 @@ function has(object, path) { /***/ }), -/***/ 75487: +/***/ 73556: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_hasIn) + c: () => (/* binding */ lodash_es_hasIn) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js @@ -8008,7 +8008,7 @@ function baseHasIn(object, key) { /* harmony default export */ const _baseHasIn = (baseHasIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js @@ -8040,7 +8040,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function hasIn(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHasIn); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); } /* harmony default export */ const lodash_es_hasIn = (hasIn); @@ -8048,14 +8048,14 @@ function hasIn(object, path) { /***/ }), -/***/ 72714: +/***/ 46380: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(93589); -/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(18533); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); @@ -8081,7 +8081,7 @@ var symbolTag = '[object Symbol]'; */ function isSymbol(value) { return typeof value == 'symbol' || - ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value) == symbolTag); + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); @@ -8089,11 +8089,11 @@ function isSymbol(value) { /***/ }), -/***/ 49360: +/***/ 60372: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if `value` is `undefined`. @@ -8121,15 +8121,15 @@ function isUndefined(value) { /***/ }), -/***/ 17179: +/***/ 62420: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(87668); -/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(39473); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -8163,7 +8163,7 @@ function isUndefined(value) { * // => ['0', '1'] */ function keys(object) { - return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(object); + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); @@ -8171,16 +8171,16 @@ function keys(object) { /***/ }), -/***/ 43836: +/***/ 92696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(74073); -/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(74765); -/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(21018); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(1304); +/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(91312); +/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(90360); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8229,8 +8229,8 @@ function keys(object) { * // => ['barney', 'fred'] */ function map(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee, 3)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee, 3)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (map); @@ -8238,27 +8238,27 @@ function map(collection, iteratee) { /***/ }), -/***/ 61666: +/***/ 95108: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_pick) + c: () => (/* binding */ lodash_es_pick) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_castPath.js + 2 modules -var _castPath = __webpack_require__(22823); +var _castPath = __webpack_require__(58356); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIndex.js -var _isIndex = __webpack_require__(56009); +var _isIndex = __webpack_require__(748); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSet.js @@ -8277,10 +8277,10 @@ var _toKey = __webpack_require__(62281); * @returns {Object} Returns `object`. */ function baseSet(object, path, value, customizer) { - if (!(0,isObject/* default */.Z)(object)) { + if (!(0,isObject/* default */.c)(object)) { return object; } - path = (0,_castPath/* default */.Z)(path, object); + path = (0,_castPath/* default */.c)(path, object); var index = -1, length = path.length, @@ -8288,7 +8288,7 @@ function baseSet(object, path, value, customizer) { nested = object; while (nested != null && ++index < length) { - var key = (0,_toKey/* default */.Z)(path[index]), + var key = (0,_toKey/* default */.c)(path[index]), newValue = value; if (key === '__proto__' || key === 'constructor' || key === 'prototype') { @@ -8299,12 +8299,12 @@ function baseSet(object, path, value, customizer) { var objValue = nested[key]; newValue = customizer ? customizer(objValue, key, nested) : undefined; if (newValue === undefined) { - newValue = (0,isObject/* default */.Z)(objValue) + newValue = (0,isObject/* default */.c)(objValue) ? objValue - : ((0,_isIndex/* default */.Z)(path[index + 1]) ? [] : {}); + : ((0,_isIndex/* default */.c)(path[index + 1]) ? [] : {}); } } - (0,_assignValue/* default */.Z)(nested, key, newValue); + (0,_assignValue/* default */.c)(nested, key, newValue); nested = nested[key]; } return object; @@ -8333,10 +8333,10 @@ function basePickBy(object, paths, predicate) { while (++index < length) { var path = paths[index], - value = (0,_baseGet/* default */.Z)(object, path); + value = (0,_baseGet/* default */.c)(object, path); if (predicate(value, path)) { - _baseSet(result, (0,_castPath/* default */.Z)(path, object), value); + _baseSet(result, (0,_castPath/* default */.c)(path, object), value); } } return result; @@ -8345,7 +8345,7 @@ function basePickBy(object, paths, predicate) { /* harmony default export */ const _basePickBy = (basePickBy); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePick.js @@ -8361,18 +8361,18 @@ var hasIn = __webpack_require__(75487); */ function basePick(object, paths) { return _basePickBy(object, paths, function(value, path) { - return (0,hasIn/* default */.Z)(object, path); + return (0,hasIn/* default */.c)(object, path); }); } /* harmony default export */ const _basePick = (basePick); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/_overRest.js + 1 modules -var _overRest = __webpack_require__(81211); +var _overRest = __webpack_require__(10648); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToString.js + 2 modules -var _setToString = __webpack_require__(27227); +var _setToString = __webpack_require__(99669); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_flatRest.js @@ -8386,7 +8386,7 @@ var _setToString = __webpack_require__(27227); * @returns {Function} Returns the new function. */ function flatRest(func) { - return (0,_setToString/* default */.Z)((0,_overRest/* default */.Z)(func, undefined, flatten/* default */.Z), func + ''); + return (0,_setToString/* default */.c)((0,_overRest/* default */.c)(func, undefined, flatten/* default */.c), func + ''); } /* harmony default export */ const _flatRest = (flatRest); @@ -8421,13 +8421,13 @@ var pick = _flatRest(function(object, paths) { /***/ }), -/***/ 74379: +/***/ 52264: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_range) + c: () => (/* binding */ lodash_es_range) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseRange.js @@ -8461,9 +8461,9 @@ function baseRange(start, end, step, fromRight) { /* harmony default export */ const _baseRange = (baseRange); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createRange.js @@ -8478,18 +8478,18 @@ var toFinite = __webpack_require__(94099); */ function createRange(fromRight) { return function(start, end, step) { - if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.Z)(start, end, step)) { + if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.c)(start, end, step)) { end = step = undefined; } // Ensure the sign of `-0` is preserved. - start = (0,toFinite/* default */.Z)(start); + start = (0,toFinite/* default */.c)(start); if (end === undefined) { end = start; start = 0; } else { - end = (0,toFinite/* default */.Z)(end); + end = (0,toFinite/* default */.c)(end); } - step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.Z)(step); + step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.c)(step); return _baseRange(start, end, step, fromRight); }; } @@ -8547,13 +8547,13 @@ var range = _createRange(); /***/ }), -/***/ 92344: +/***/ 90460: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_reduce) + c: () => (/* binding */ lodash_es_reduce) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js @@ -8585,9 +8585,9 @@ function arrayReduce(array, iteratee, accumulator, initAccum) { /* harmony default export */ const _arrayReduce = (arrayReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js /** * The base implementation of `_.reduce` and `_.reduceRight`, without support @@ -8614,7 +8614,7 @@ function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { /* harmony default export */ const _baseReduce = (baseReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js @@ -8660,10 +8660,10 @@ var isArray = __webpack_require__(27771); * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) */ function reduce(collection, iteratee, accumulator) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayReduce : _baseReduce, + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, initAccum = arguments.length < 3; - return func(collection, (0,_baseIteratee/* default */.Z)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.Z); + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); } /* harmony default export */ const lodash_es_reduce = (reduce); @@ -8671,11 +8671,11 @@ function reduce(collection, iteratee, accumulator) { /***/ }), -/***/ 60532: +/***/ 41716: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * This method returns a new empty array. @@ -8704,13 +8704,13 @@ function stubArray() { /***/ }), -/***/ 94099: +/***/ 92400: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toFinite) + c: () => (/* binding */ lodash_es_toFinite) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_trimmedEndIndex.js @@ -8756,9 +8756,9 @@ function baseTrim(string) { /* harmony default export */ const _baseTrim = (baseTrim); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toNumber.js @@ -8806,12 +8806,12 @@ function toNumber(value) { if (typeof value == 'number') { return value; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return NAN; } - if ((0,isObject/* default */.Z)(value)) { + if ((0,isObject/* default */.c)(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = (0,isObject/* default */.Z)(other) ? (other + '') : other; + value = (0,isObject/* default */.c)(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; @@ -8872,23 +8872,23 @@ function toFinite(value) { /***/ }), -/***/ 50751: +/***/ 68019: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toString) + c: () => (/* binding */ lodash_es_toString) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js @@ -8899,7 +8899,7 @@ var isSymbol = __webpack_require__(72714); var INFINITY = 1 / 0; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolToString = symbolProto ? symbolProto.toString : undefined; /** @@ -8915,11 +8915,11 @@ function baseToString(value) { if (typeof value == 'string') { return value; } - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { // Recursively convert values (susceptible to call stack limits). - return (0,_arrayMap/* default */.Z)(value, baseToString) + ''; + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return symbolToString ? symbolToString.call(value) : ''; } var result = (value + ''); @@ -8961,13 +8961,13 @@ function toString_toString(value) { /***/ }), -/***/ 66749: +/***/ 41696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50751); +/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(68019); /** Used to generate unique IDs. */ @@ -8992,7 +8992,7 @@ var idCounter = 0; */ function uniqueId(prefix) { var id = ++idCounter; - return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(prefix) + id; + return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(prefix) + id; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (uniqueId); @@ -9000,17 +9000,17 @@ function uniqueId(prefix) { /***/ }), -/***/ 34148: +/***/ 36: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_values) + c: () => (/* binding */ lodash_es_values) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js @@ -9025,7 +9025,7 @@ var _arrayMap = __webpack_require__(74073); * @returns {Object} Returns the array of property values. */ function baseValues(object, props) { - return (0,_arrayMap/* default */.Z)(props, function(key) { + return (0,_arrayMap/* default */.c)(props, function(key) { return object[key]; }); } @@ -9033,7 +9033,7 @@ function baseValues(object, props) { /* harmony default export */ const _baseValues = (baseValues); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js @@ -9065,7 +9065,7 @@ var keys = __webpack_require__(17179); * // => ['h', 'i'] */ function values(object) { - return object == null ? [] : _baseValues(object, (0,keys/* default */.Z)(object)); + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); } /* harmony default export */ const lodash_es_values = (values); @@ -9073,7 +9073,7 @@ function values(object) { /***/ }), -/***/ 76562: +/***/ 73748: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { @@ -9098,8 +9098,8 @@ __webpack_require__.d(constructs_namespaceObject, { text: () => (constructs_text) }); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); ;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js /** * @typedef {import('mdast').Root|import('mdast').Content} Node @@ -21707,14 +21707,14 @@ function defaultOnError(left, right) { } // EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js -var esm = __webpack_require__(18464); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-a48a4c90.js +var esm = __webpack_require__(71408); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-423428c9.js function preprocessMarkdown(markdown) { const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); - const withoutExtraSpaces = (0,esm/* dedent */.Z)(withoutMultipleNewlines); + const withoutExtraSpaces = (0,esm/* dedent */.s)(withoutMultipleNewlines); return withoutExtraSpaces; } function markdownToLines(markdown) { @@ -21936,12 +21936,12 @@ const createText = (el, text = "", { width = 200, addSvgBackground = false } = {}) => { - mermaid_04fb0060.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); + mermaid_0603ccf8.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); if (useHtmlLabels) { const htmlText = markdownToHTML(text); const node = { isNode, - label: (0,mermaid_04fb0060.J)(htmlText).replace( + label: (0,mermaid_0603ccf8.J)(htmlText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ), @@ -21960,7 +21960,7 @@ const createText = (el, text = "", { /***/ }), -/***/ 52494: +/***/ 79680: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -21970,19 +21970,20 @@ const createText = (el, text = "", { /* harmony export */ d: () => (/* binding */ clear), /* harmony export */ e: () => (/* binding */ insertNode), /* harmony export */ f: () => (/* binding */ insertEdgeLabel), -/* harmony export */ g: () => (/* binding */ insertEdge), -/* harmony export */ h: () => (/* binding */ positionEdgeLabel), +/* harmony export */ g: () => (/* binding */ getSubGraphTitleMargins), +/* harmony export */ h: () => (/* binding */ insertEdge), /* harmony export */ i: () => (/* binding */ intersectRect$1), -/* harmony export */ j: () => (/* binding */ getLineFunctionsWithOffset), -/* harmony export */ k: () => (/* binding */ addEdgeMarkers), +/* harmony export */ j: () => (/* binding */ positionEdgeLabel), +/* harmony export */ k: () => (/* binding */ getLineFunctionsWithOffset), /* harmony export */ l: () => (/* binding */ labelHelper), +/* harmony export */ m: () => (/* binding */ addEdgeMarkers), /* harmony export */ p: () => (/* binding */ positionNode), /* harmony export */ s: () => (/* binding */ setNodeElem), /* harmony export */ u: () => (/* binding */ updateNodeBounds) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(76562); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(73748); @@ -21992,7 +21993,7 @@ const insertMarkers = (elem, markerArray, type, id) => { }); }; const extension = (elem, type, id) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionStart").attr("class", "marker extension " + type).attr("refX", 18).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 1,7 L18,13 V 1 Z"); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionEnd").attr("class", "marker extension " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 1,1 V 13 L18,7 Z"); }; @@ -22045,7 +22046,7 @@ function applyStyle(dom, styleFn) { } } function addHtmlLabel(node) { - const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); + const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); const div = fo.append("xhtml:div"); const label = node.label; const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; @@ -22063,12 +22064,12 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { if (typeof vertexText === "object") { vertexText = vertexText[0]; } - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { vertexText = vertexText.replace(/\\n|\n/g, "
    "); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("vertexText" + vertexText); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("vertexText" + vertexText); const node = { isNode, - label: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( + label: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ), @@ -22106,7 +22107,7 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { const createLabel$1 = createLabel; const labelHelper = async (parent, node, _classes, isNode) => { let classes; - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); if (!_classes) { classes = "node default"; } else { @@ -22123,15 +22124,15 @@ const labelHelper = async (parent, node, _classes, isNode) => { const textNode = label.node(); let text; if (node.labelType === "markdown") { - text = (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { + text = (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { useHtmlLabels, - width: node.width || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, + width: node.width || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, classes: "markdown-node-label" }); } else { text = textNode.appendChild( createLabel$1( - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), node.labelStyle, false, isNode @@ -22140,9 +22141,9 @@ const labelHelper = async (parent, node, _classes, isNode) => { } let bbox = text.getBBox(); const halfPadding = node.padding / 2; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); const images = div.getElementsByTagName("img"); if (images) { const noImgText = labelText.replace(/]*>/g, "").trim() === ""; @@ -22153,7 +22154,7 @@ const labelHelper = async (parent, node, _classes, isNode) => { img.style.display = "flex"; img.style.flexDirection = "column"; if (noImgText) { - const bodyFontSize = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; + const bodyFontSize = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; const enlargingFactor = 5; const width = parseInt(bodyFontSize, 10) * enlargingFactor + "px"; img.style.minWidth = width; @@ -22337,7 +22338,7 @@ const intersect = { rect: intersectRect$1 }; const note = async (parent, node) => { - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; if (!useHtmlLabels) { node.centerLabel = true; } @@ -22347,7 +22348,7 @@ const note = async (parent, node) => { "node " + node.classes, true ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); const rect2 = shapeSvg.insert("rect", ":first-child"); rect2.attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); updateNodeBounds(node, rect2); @@ -22357,6 +22358,208 @@ const note = async (parent, node) => { return shapeSvg; }; const note$1 = note; +const expandAndDeduplicateDirections = (directions) => { + const uniqueDirections = /* @__PURE__ */ new Set(); + for (const direction of directions) { + switch (direction) { + case "x": + uniqueDirections.add("right"); + uniqueDirections.add("left"); + break; + case "y": + uniqueDirections.add("up"); + uniqueDirections.add("down"); + break; + default: + uniqueDirections.add(direction); + break; + } + } + return uniqueDirections; +}; +const getArrowPoints = (duplicatedDirections, bbox, node) => { + const directions = expandAndDeduplicateDirections(duplicatedDirections); + const f = 2; + const height = bbox.height + 2 * node.padding; + const midpoint = height / f; + const width = bbox.width + 2 * midpoint + node.padding; + const padding = node.padding / 2; + if (directions.has("right") && directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + // Bottom + { x: 0, y: 0 }, + { x: midpoint, y: 0 }, + { x: width / 2, y: 2 * padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: 0 }, + // Right + { x: width, y: -height / 3 }, + { x: width + 2 * padding, y: -height / 2 }, + { x: width, y: -2 * height / 3 }, + { x: width, y: -height }, + // Top + { x: width - midpoint, y: -height }, + { x: width / 2, y: -height - 2 * padding }, + { x: midpoint, y: -height }, + // Left + { x: 0, y: -height }, + { x: 0, y: -2 * height / 3 }, + { x: -2 * padding, y: -height / 2 }, + { x: 0, y: -height / 3 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("up")) { + return [ + { x: midpoint, y: 0 }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: midpoint, y: -height }, + { x: width - midpoint, y: -height }, + { x: width, y: 0 } + ]; + } + if (directions.has("right") && directions.has("up") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: width, y: -height + midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: 0, y: -height + midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("right") && directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up") && directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + if (directions.has("right") && directions.has("up")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("right") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: 0 }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("left") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: 0 }, + { x: width, y: -height } + ]; + } + if (directions.has("right")) { + return [ + { x: midpoint, y: -padding }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + // top left corner of arrow + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding } + ]; + } + if (directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + // Two points, the right corners + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up")) { + return [ + // Bottom center + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding } + ]; + } + if (directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + return [{ x: 0, y: 0 }]; +}; const formatClass = (str) => { if (str) { return " " + str; @@ -22384,12 +22587,12 @@ const question = async (parent, node) => { { x: s / 2, y: -s }, { x: 0, y: -s / 2 } ]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); const questionElem = insertPolygonShape(shapeSvg, s, s, points); questionElem.attr("style", node.style); updateNodeBounds(node, questionElem); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); return intersect.polygon(node, points, point2); }; return shapeSvg; @@ -22444,6 +22647,21 @@ const hexagon = async (parent, node) => { }; return shapeSvg; }; +const block_arrow = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper(parent, node, void 0, true); + const f = 2; + const h = bbox.height + 2 * node.padding; + const m = h / f; + const w = bbox.width + 2 * m + node.padding; + const points = getArrowPoints(node.directions, bbox, node); + const blockArrow = insertPolygonShape(shapeSvg, w, h, points); + blockArrow.attr("style", node.style); + updateNodeBounds(node, blockArrow); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; const rect_left_inv_arrow = async (parent, node) => { const { shapeSvg, bbox } = await labelHelper( parent, @@ -22620,9 +22838,40 @@ const rect = async (parent, node) => { true ); const rect2 = shapeSvg.insert("rect", ":first-child"); - const totalWidth = bbox.width + node.padding; - const totalHeight = bbox.height + node.padding; - rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", totalWidth).attr("height", totalHeight); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); + if (node.props) { + const propKeys = new Set(Object.keys(node.props)); + if (node.props.borders) { + applyNodePropertyBorders(rect2, node.props.borders, totalWidth, totalHeight); + propKeys.delete("borders"); + } + propKeys.forEach((propKey) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + }); + } + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const composite = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + "node " + node.classes, + true + ); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic cluster composite label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); if (node.props) { const propKeys = new Set(Object.keys(node.props)); if (node.props.borders) { @@ -22630,7 +22879,7 @@ const rect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -22641,7 +22890,7 @@ const rect = async (parent, node) => { }; const labelRect = async (parent, node) => { const { shapeSvg } = await labelHelper(parent, node, "label", true); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); const rect2 = shapeSvg.insert("rect", ":first-child"); const totalWidth = 0; const totalHeight = 0; @@ -22654,7 +22903,7 @@ const labelRect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -22672,25 +22921,25 @@ function applyNodePropertyBorders(rect2, borders, totalWidth, totalHeight) { strokeDashArray.push(0, length); }; if (borders.includes("t")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("r")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); addBorder(totalHeight); } else { skipBorder(totalHeight); } if (borders.includes("b")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("l")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); addBorder(totalHeight); } else { skipBorder(totalHeight); @@ -22715,36 +22964,36 @@ const rectWithTitle = (parent, node) => { } else { title = text2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); const text = label.node().appendChild(createLabel$1(title, node.labelStyle, true, true)); let bbox = { width: 0, height: 0 }; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); const textRows = text2.slice(1, text2.length); let titleBox = text.getBBox(); const descr = label.node().appendChild( createLabel$1(textRows.join ? textRows.join("
    ") : textRows, node.labelStyle, true, true) ); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = descr.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } const halfPadding = node.padding / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width > titleBox.width ? 0 : (titleBox.width - bbox.width) / 2) + ", " + (titleBox.height + halfPadding + 5) + ")" ); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width < titleBox.width ? 0 : -(titleBox.width - bbox.width) / 2) + ", 0)" @@ -22787,10 +23036,10 @@ const circle = async (parent, node) => { ); const circle2 = shapeSvg.insert("circle", ":first-child"); circle2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); updateNodeBounds(node, circle2); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); return intersect.circle(node, bbox.width / 2 + halfPadding, point2); }; return shapeSvg; @@ -22809,10 +23058,10 @@ const doublecircle = async (parent, node) => { circleGroup.attr("class", node.class); outerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding + gap).attr("width", bbox.width + node.padding + gap * 2).attr("height", bbox.height + node.padding + gap * 2); innerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); updateNodeBounds(node, outerCircle); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); return intersect.circle(node, bbox.width / 2 + halfPadding + gap, point2); }; return shapeSvg; @@ -22907,9 +23156,9 @@ const class_box = (parent, node) => { const interfaceLabelText = node.classData.annotations[0] ? "«" + node.classData.annotations[0] + "»" : ""; const interfaceLabel = labelContainer.node().appendChild(createLabel$1(interfaceLabelText, node.labelStyle, true, true)); let interfaceBBox = interfaceLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = interfaceLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel); interfaceBBox = div.getBoundingClientRect(); dv.attr("width", interfaceBBox.width); dv.attr("height", interfaceBBox.height); @@ -22920,18 +23169,18 @@ const class_box = (parent, node) => { } let classTitleString = node.classData.label; if (node.classData.type !== void 0 && node.classData.type !== "") { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { classTitleString += "<" + node.classData.type + ">"; } else { classTitleString += "<" + node.classData.type + ">"; } } const classTitleLabel = labelContainer.node().appendChild(createLabel$1(classTitleString, node.labelStyle, true, true)); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr("class", "classTitle"); + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr("class", "classTitle"); let classTitleBBox = classTitleLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = classTitleLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel); classTitleBBox = div.getBoundingClientRect(); dv.attr("width", classTitleBBox.width); dv.attr("height", classTitleBBox.height); @@ -22944,7 +23193,7 @@ const class_box = (parent, node) => { node.classData.members.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let parsedText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { parsedText = parsedText.replace(//g, ">"); } const lbl = labelContainer.node().appendChild( @@ -22956,9 +23205,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -22974,7 +23223,7 @@ const class_box = (parent, node) => { node.classData.methods.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let displayText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { displayText = displayText.replace(//g, ">"); } const lbl = labelContainer.node().appendChild( @@ -22986,9 +23235,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23002,14 +23251,14 @@ const class_box = (parent, node) => { maxHeight += lineHeight; if (hasInterface) { let diffX2 = (maxWidth - interfaceBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX2) + ", " + -1 * maxHeight / 2 + ")" ); verticalPos = interfaceBBox.height + rowPadding; } let diffX = (maxWidth - classTitleBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX) + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -23017,7 +23266,7 @@ const class_box = (parent, node) => { topLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classAttributes.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos + lineHeight / 2) + ")" ); @@ -23028,7 +23277,7 @@ const class_box = (parent, node) => { bottomLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classMethods.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -23044,6 +23293,7 @@ const class_box = (parent, node) => { }; const shapes = { rhombus: question, + composite, question, rect, labelRect, @@ -23053,6 +23303,7 @@ const shapes = { doublecircle, stadium, hexagon, + block_arrow, rect_left_inv_arrow, lean_right, lean_left, @@ -23074,7 +23325,7 @@ const insertNode = async (elem, node, dir) => { let el; if (node.link) { let target; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { target = "_top"; } else if (node.linkTarget) { target = node.linkTarget || "_blank"; @@ -23091,6 +23342,8 @@ const insertNode = async (elem, node, dir) => { if (node.class) { el.attr("class", "node default " + node.class); } + newEl.attr("data-node", "true"); + newEl.attr("data-id", node.id); nodeElems[node.id] = newEl; if (node.haveCallback) { nodeElems[node.id].attr("class", nodeElems[node.id].attr("class") + " clickable"); @@ -23105,7 +23358,7 @@ const clear$1 = () => { }; const positionNode = (node) => { const el = nodeElems[node.id]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( "Transforming node", node.diff, node, @@ -23123,6 +23376,19 @@ const positionNode = (node) => { } return diff; }; +const getSubGraphTitleMargins = ({ + flowchart +}) => { + var _a, _b; + const subGraphTitleTopMargin = ((_a = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _a.top) ?? 0; + const subGraphTitleBottomMargin = ((_b = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _b.bottom) ?? 0; + const subGraphTitleTotalMargin = subGraphTitleTopMargin + subGraphTitleBottomMargin; + return { + subGraphTitleTopMargin, + subGraphTitleBottomMargin, + subGraphTitleTotalMargin + }; +}; const markerOffsets = { aggregation: 18, extension: 18, @@ -23203,7 +23469,7 @@ const arrowTypesMap = { const addEdgeMarker = (svgPath, position, arrowType, url, id, diagramType) => { const endMarkerType = arrowTypesMap[arrowType]; if (!endMarkerType) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); return; } const suffix = position === "start" ? "Start" : "End"; @@ -23216,20 +23482,19 @@ const clear = () => { terminalLabels = {}; }; const insertEdgeLabel = (elem, edge) => { - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); - const labelElement = edge.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const labelElement = edge.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { style: edge.labelStyle, useHtmlLabels, addSvgBackground: true }) : createLabel$1(edge.label, edge.labelStyle); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc82", edge, edge.labelType); const edgeLabel = elem.insert("g").attr("class", "edgeLabel"); const label = edgeLabel.insert("g").attr("class", "label"); label.node().appendChild(labelElement); let bbox = labelElement.getBBox(); if (useHtmlLabels) { const div = labelElement.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(labelElement); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(labelElement); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23297,21 +23562,23 @@ const insertEdgeLabel = (elem, edge) => { return labelElement; }; function setTerminalWidth(fo, value) { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { fo.style.width = value.length * 9 + "px"; fo.style.height = "12px"; } } const positionEdgeLabel = (edge, paths) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Moving label abc78 ", edge.id, edge.label, edgeLabels[edge.id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Moving label abc88 ", edge.id, edge.label, edgeLabels[edge.id], paths); let path = paths.updatedPath ? paths.updatedPath : paths.originalPath; + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const { subGraphTitleTotalMargin } = getSubGraphTitleMargins(siteConfig); if (edge.label) { const el = edgeLabels[edge.id]; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug( "Moving label " + edge.label + " from (", x, ",", @@ -23320,32 +23587,32 @@ const positionEdgeLabel = (edge, paths) => { pos.x, ",", pos.y, - ") abc78" + ") abc88" ); if (paths.updatedPath) { x = pos.x; y = pos.y; } } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y + subGraphTitleTotalMargin / 2})`); } if (edge.startLabelLeft) { const el = terminalLabels[edge.id].startLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.startLabelRight) { const el = terminalLabels[edge.id].startRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( edge.arrowTypeStart ? 10 : 0, "start_right", path @@ -23353,29 +23620,29 @@ const positionEdgeLabel = (edge, paths) => { x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelLeft) { const el = terminalLabels[edge.id].endLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelRight) { const el = terminalLabels[edge.id].endRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } }; const outsideNode = (node, point2) => { @@ -23391,7 +23658,7 @@ const outsideNode = (node, point2) => { return false; }; const intersection = (node, outsidePoint, insidePoint) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`intersection calc abc89: + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`intersection calc abc89: outsidePoint: ${JSON.stringify(outsidePoint)} insidePoint : ${JSON.stringify(insidePoint)} node : x:${node.x} y:${node.y} w:${node.width} h:${node.height}`); @@ -23420,7 +23687,7 @@ const intersection = (node, outsidePoint, insidePoint) => { if (Q === 0) { res.y = outsidePoint.y; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); return res; } else { if (insidePoint.x < outsidePoint.x) { @@ -23431,7 +23698,7 @@ const intersection = (node, outsidePoint, insidePoint) => { let q = Q * r / R; let _x = insidePoint.x < outsidePoint.x ? insidePoint.x + R - r : insidePoint.x - R + r; let _y = insidePoint.y < outsidePoint.y ? insidePoint.y + q : insidePoint.y - q; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); if (r === 0) { _x = outsidePoint.x; _y = outsidePoint.y; @@ -23446,71 +23713,58 @@ const intersection = (node, outsidePoint, insidePoint) => { } }; const cutPathAtIntersect = (_points, boundryNode) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 cutPathAtIntersect", _points, boundryNode); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 cutPathAtIntersect", _points, boundryNode); let points = []; let lastPointOutside = _points[0]; let isInside = false; _points.forEach((point2) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 checking point", point2, boundryNode); if (!outsideNode(boundryNode, point2) && !isInside) { const inter = intersection(boundryNode, lastPointOutside, point2); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 inside", point2, lastPointOutside, inter); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 intersection", inter); let pointPresent = false; points.forEach((p) => { pointPresent = pointPresent || p.x === inter.x && p.y === inter.y; }); if (!points.some((e) => e.x === inter.x && e.y === inter.y)) { points.push(inter); - } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 no intersect", inter, points); } isInside = true; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 outside", point2, lastPointOutside); lastPointOutside = point2; if (!isInside) { points.push(point2); } } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 returning points", points); return points; }; const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { let points = edge.points; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 InsertEdge: edge=", edge, "e=", e); let pointsHasChanged = false; const tail = graph.node(e.v); var head = graph.node(e.w); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 InsertEdge: ", edge); - if (head.intersect && tail.intersect) { + if ((head == null ? void 0 : head.intersect) && (tail == null ? void 0 : tail.intersect)) { points = points.slice(1, edge.points.length - 1); points.unshift(tail.intersect(points[0])); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( - "Last point", - points[points.length - 1], - head, - head.intersect(points[points.length - 1]) - ); points.push(head.intersect(points[points.length - 1])); } if (edge.toCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("to cluster abc88", clusterDb[edge.toCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("to cluster abc88", clusterDb[edge.toCluster]); points = cutPathAtIntersect(edge.points, clusterDb[edge.toCluster].node); pointsHasChanged = true; } if (edge.fromCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("from cluster abc88", clusterDb[edge.fromCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("from cluster abc88", clusterDb[edge.fromCluster]); points = cutPathAtIntersect(points.reverse(), clusterDb[edge.fromCluster].node).reverse(); pointsHasChanged = true; } const lineData = points.filter((p) => !Number.isNaN(p.y)); - let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .$0Z; + let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .k7; if (edge.curve && (diagramType === "graph" || diagramType === "flowchart")) { curve = edge.curve; } const { x, y } = getLineFunctionsWithOffset(edge); - const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(x).y(y).curve(curve); + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(x).y(y).curve(curve); let strokeClasses; switch (edge.thickness) { case "normal": @@ -23538,13 +23792,11 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { } const svgPath = elem.append("path").attr("d", lineFunction(lineData)).attr("id", edge.id).attr("class", " " + strokeClasses + (edge.classes ? " " + edge.classes : "")).attr("style", edge.style); let url = ""; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { url = window.location.protocol + "//" + window.location.host + window.location.pathname + window.location.search; url = url.replace(/\(/g, "\\("); url = url.replace(/\)/g, "\\)"); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeStart", edge.arrowTypeStart); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeEnd", edge.arrowTypeEnd); addEdgeMarkers(svgPath, edge, url, id, diagramType); let paths = {}; if (pointsHasChanged) { @@ -23558,19 +23810,19 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { /***/ }), -/***/ 74852: +/***/ 37024: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ r: () => (/* binding */ render) /* harmony export */ }); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(39354); -/* harmony import */ var _edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(52494); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(45625); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(76562); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(64218); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(41520); +/* harmony import */ var _edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79680); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95536); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(73748); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(37352); @@ -23587,15 +23839,15 @@ const clear$1 = () => { clusterDb = {}; }; const isDescendant = (id, ancenstorId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("In isDecendant", ancenstorId, " ", id, " = ", descendants[ancenstorId].includes(id)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("In isDecendant", ancenstorId, " ", id, " = ", descendants[ancenstorId].includes(id)); if (descendants[ancenstorId].includes(id)) { return true; } return false; }; const edgeInCluster = (edge, clusterId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Decendants of ", clusterId, " is ", descendants[clusterId]); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge is ", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Decendants of ", clusterId, " is ", descendants[clusterId]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge is ", edge); if (edge.v === clusterId) { return false; } @@ -23603,13 +23855,13 @@ const edgeInCluster = (edge, clusterId) => { return false; } if (!descendants[clusterId]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Tilt, ", clusterId, ",not in decendants"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Tilt, ", clusterId, ",not in decendants"); return false; } return descendants[clusterId].includes(edge.v) || isDescendant(edge.v, clusterId) || isDescendant(edge.w, clusterId) || descendants[clusterId].includes(edge.w); }; const copy = (clusterId, graph, newGraph, rootId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Copying children of ", clusterId, "root", @@ -23622,24 +23874,24 @@ const copy = (clusterId, graph, newGraph, rootId) => { if (clusterId !== rootId) { nodes.push(clusterId); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Copying (nodes) clusterId", clusterId, "nodes", nodes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Copying (nodes) clusterId", clusterId, "nodes", nodes); nodes.forEach((node) => { if (graph.children(node).length > 0) { copy(node, graph, newGraph, rootId); } else { const data = graph.node(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("cp ", node, " to ", rootId, " with parent ", clusterId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("cp ", node, " to ", rootId, " with parent ", clusterId); newGraph.setNode(node, data); if (rootId !== graph.parent(node)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Setting parent", node, graph.parent(node)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Setting parent", node, graph.parent(node)); newGraph.setParent(node, graph.parent(node)); } if (clusterId !== rootId && node !== clusterId) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Setting parent", node, clusterId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Setting parent", node, clusterId); newGraph.setParent(node, clusterId); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("In copy ", clusterId, "root", rootId, "data", graph.node(clusterId), rootId); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("In copy ", clusterId, "root", rootId, "data", graph.node(clusterId), rootId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( "Not Setting parent for node=", node, "cluster!==rootId", @@ -23649,18 +23901,18 @@ const copy = (clusterId, graph, newGraph, rootId) => { ); } const edges = graph.edges(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Copying Edges", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Copying Edges", edges); edges.forEach((edge) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge", edge); const data2 = graph.edge(edge.v, edge.w, edge.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge data", data2, rootId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge data", data2, rootId); try { if (edgeInCluster(edge, rootId)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Copying as ", edge.v, edge.w, data2, edge.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Copying as ", edge.v, edge.w, data2, edge.name); newGraph.setEdge(edge.v, edge.w, data2, edge.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("newGraph edges ", newGraph.edges(), newGraph.edge(newGraph.edges()[0])); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("newGraph edges ", newGraph.edges(), newGraph.edge(newGraph.edges()[0])); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info( "Skipping copy of edge ", edge.v, "-->", @@ -23672,11 +23924,11 @@ const copy = (clusterId, graph, newGraph, rootId) => { ); } } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error(e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error(e); } }); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Removing node", node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Removing node", node); graph.removeNode(node); }); }; @@ -23690,17 +23942,17 @@ const extractDescendants = (id, graph) => { return res; }; const findNonClusterChild = (id, graph) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching", id); const children = graph.children(id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching children of id ", id, children); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching children of id ", id, children); if (children.length < 1) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("This is a valid node", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("This is a valid node", id); return id; } for (const child of children) { const _id = findNonClusterChild(child, graph); if (_id) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Found replacement for", id, " => ", _id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Found replacement for", id, " => ", _id); return _id; } } @@ -23719,15 +23971,15 @@ const getAnchorId = (id) => { }; const adjustClustersAndEdges = (graph, depth) => { if (!graph || depth > 10) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting out, no graph "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting out, no graph "); return; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting in, graph "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting in, graph "); } graph.nodes().forEach(function(id) { const children = graph.children(id); if (children.length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster identified", id, " Replacement id in edges: ", @@ -23741,29 +23993,36 @@ const adjustClustersAndEdges = (graph, depth) => { const children = graph.children(id); const edges = graph.edges(); if (children.length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Cluster identified", id, descendants); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Cluster identified", id, descendants); edges.forEach((edge) => { if (edge.v !== id && edge.w !== id) { const d1 = isDescendant(edge.v, id); const d2 = isDescendant(edge.w, id); if (d1 ^ d2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge: ", edge, " leaves cluster ", id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Decendants of XXX ", id, ": ", descendants[id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge: ", edge, " leaves cluster ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Decendants of XXX ", id, ": ", descendants[id]); clusterDb[id].externalConnections = true; } } }); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster ", id, descendants); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster ", id, descendants); } }); + for (let id of Object.keys(clusterDb)) { + const nonClusterChild = clusterDb[id].id; + const parent = graph.parent(nonClusterChild); + if (parent !== id && clusterDb[parent] && !clusterDb[parent].externalConnections) { + clusterDb[id].id = parent; + } + } graph.edges().forEach(function(e) { const edge = graph.edge(e); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); let v = e.v; let w = e.w; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Fix XXX", clusterDb, "ids:", @@ -23775,8 +24034,8 @@ const adjustClustersAndEdges = (graph, depth) => { clusterDb[e.w] ); if (clusterDb[e.v] && clusterDb[e.w] && clusterDb[e.v] === clusterDb[e.w]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing link to self - removing XXX", e.v, e.w, e.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing link to self - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); v = getAnchorId(e.v); w = getAnchorId(e.w); graph.removeEdge(e.v, e.w, e.name); @@ -23800,28 +24059,32 @@ const adjustClustersAndEdges = (graph, depth) => { graph.setEdge(v, specialId, edge1, e.name + "-cyclic-special"); graph.setEdge(specialId, w, edge2, e.name + "-cyclic-special"); } else if (clusterDb[e.v] || clusterDb[e.w]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); v = getAnchorId(e.v); w = getAnchorId(e.w); graph.removeEdge(e.v, e.w, e.name); if (v !== e.v) { + const parent = graph.parent(v); + clusterDb[parent].externalConnections = true; edge.fromCluster = e.v; } if (w !== e.w) { + const parent = graph.parent(w); + clusterDb[parent].externalConnections = true; edge.toCluster = e.w; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fix Replacing with XXX", v, w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fix Replacing with XXX", v, w, e.name); graph.setEdge(v, w, edge, e.name); } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Adjusted Graph", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Adjusted Graph", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); extractor(graph, 0); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace(clusterDb); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace(clusterDb); }; const extractor = (graph, depth) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("extractor - ", depth, dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph), graph.children("D")); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("extractor - ", depth, dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph), graph.children("D")); if (depth > 10) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("Bailing out"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("Bailing out"); return; } let nodes = graph.nodes(); @@ -23831,12 +24094,12 @@ const extractor = (graph, depth) => { hasChildren = hasChildren || children.length > 0; } if (!hasChildren) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Done, no node has children", graph.nodes()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Done, no node has children", graph.nodes()); return; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Nodes = ", nodes, depth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Nodes = ", nodes, depth); for (const node of nodes) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( "Extracting node", node, clusterDb, @@ -23848,10 +24111,10 @@ const extractor = (graph, depth) => { depth ); if (!clusterDb[node]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster", node, depth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster", node, depth); } else if (!clusterDb[node].externalConnections && // !graph.parent(node) && graph.children(node) && graph.children(node).length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster without external connections, without a parent and with children", node, depth @@ -23860,9 +24123,9 @@ const extractor = (graph, depth) => { let dir = graphSettings.rankdir === "TB" ? "LR" : "TB"; if (clusterDb[node] && clusterDb[node].clusterData && clusterDb[node].clusterData.dir) { dir = clusterDb[node].clusterData.dir; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing dir", clusterDb[node].clusterData.dir, dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing dir", clusterDb[node].clusterData.dir, dir); } - const clusterGraph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .k({ + const clusterGraph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .M({ multigraph: true, compound: true }).setGraph({ @@ -23875,7 +24138,7 @@ const extractor = (graph, depth) => { }).setDefaultEdgeLabel(function() { return {}; }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Old graph before copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Old graph before copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); copy(node, graph, clusterGraph, node); graph.setNode(node, { clusterNode: true, @@ -23884,10 +24147,10 @@ const extractor = (graph, depth) => { labelText: clusterDb[node].labelText, graph: clusterGraph }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New graph after copy node: (", node, ")", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(clusterGraph)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Old graph after copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New graph after copy node: (", node, ")", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(clusterGraph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Old graph after copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster ** ", node, " **not meeting the criteria !externalConnections:", @@ -23899,14 +24162,14 @@ const extractor = (graph, depth) => { graph.children("D"), depth ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(clusterDb); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(clusterDb); } } nodes = graph.nodes(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New list of nodes", nodes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New list of nodes", nodes); for (const node of nodes) { const data = graph.node(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn(" Now next level", node, data); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn(" Now next level", node, data); if (data.clusterNode) { extractor(data.graph, depth + 1); } @@ -23926,16 +24189,17 @@ const sorter = (graph, nodes) => { }; const sortNodesByHierarchy = (graph) => sorter(graph, graph.children()); const rect = (parent, node) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Creating subgraph rect for ", node.id, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Creating subgraph rect for ", node.id, node); + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const shapeSvg = parent.insert("g").attr("class", "cluster" + (node.class ? " " + node.class : "")).attr("id", node.id); const rect2 = shapeSvg.insert("rect", ":first-child"); - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels); + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels); const label = shapeSvg.insert("g").attr("class", "cluster-label"); - const text = node.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_5__.a)(label, node.labelText, { style: node.labelStyle, useHtmlLabels }) : label.node().appendChild((0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); + const text = node.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_5__.a)(label, node.labelText, { style: node.labelStyle, useHtmlLabels }) : label.node().appendChild((0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); let bbox = text.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23948,26 +24212,27 @@ const rect = (parent, node) => { } else { node.diff = -node.padding / 2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Data ", node, JSON.stringify(node)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Data ", node, JSON.stringify(node)); rect2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", node.x - width / 2).attr("y", node.y - node.height / 2 - halfPadding).attr("width", width).attr("height", node.height + padding); + const { subGraphTitleTopMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); if (useHtmlLabels) { label.attr( "transform", // This puts the labal on top of the box instead of inside it - "translate(" + (node.x - bbox.width / 2) + ", " + (node.y - node.height / 2) + ")" + `translate(${node.x - bbox.width / 2}, ${node.y - node.height / 2 + subGraphTitleTopMargin})` ); } else { label.attr( "transform", // This puts the labal on top of the box instead of inside it - "translate(" + node.x + ", " + (node.y - node.height / 2) + ")" + `translate(${node.x}, ${node.y - node.height / 2 + subGraphTitleTopMargin})` ); } const rectBox = rect2.node().getBBox(); node.width = rectBox.width; node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; @@ -23981,20 +24246,21 @@ const noteGroup = (parent, node) => { node.width = rectBox.width; node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; const roundedWithTitle = (parent, node) => { + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const shapeSvg = parent.insert("g").attr("class", node.classes).attr("id", node.id); const rect2 = shapeSvg.insert("rect", ":first-child"); const label = shapeSvg.insert("g").attr("class", "cluster-label"); const innerRect = shapeSvg.append("rect"); - const text = label.node().appendChild((0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); + const text = label.node().appendChild((0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); let bbox = text.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -24010,14 +24276,15 @@ const roundedWithTitle = (parent, node) => { } rect2.attr("class", "outer").attr("x", node.x - width / 2 - halfPadding).attr("y", node.y - node.height / 2 - halfPadding).attr("width", width + padding).attr("height", node.height + padding); innerRect.attr("class", "inner").attr("x", node.x - width / 2 - halfPadding).attr("y", node.y - node.height / 2 - halfPadding + bbox.height - 1).attr("width", width + padding).attr("height", node.height + padding - bbox.height - 3); + const { subGraphTitleTopMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); label.attr( "transform", - "translate(" + (node.x - bbox.width / 2) + ", " + (node.y - node.height / 2 - node.padding / 3 + ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels) ? 5 : 3)) + ")" + `translate(${node.x - bbox.width / 2}, ${node.y - node.height / 2 - node.padding / 3 + ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels) ? 5 : 3) + subGraphTitleTopMargin})` ); const rectBox = rect2.node().getBBox(); node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; @@ -24032,32 +24299,32 @@ const divider = (parent, node) => { node.height = rectBox.height; node.diff = -node.padding / 2; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; const shapes = { rect, roundedWithTitle, noteGroup, divider }; let clusterElems = {}; const insertCluster = (elem, node) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Inserting cluster"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Inserting cluster"); const shape = node.shape || "rect"; clusterElems[node.id] = shapes[shape](elem, node); }; const clear = () => { clusterElems = {}; }; -const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph in recursive render: XXX", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph), parentCluster); +const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster, siteConfig) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph in recursive render: XXX", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph), parentCluster); const dir = graph.graph().rankdir; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Dir in recursive render - dir:", dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Dir in recursive render - dir:", dir); const elem = _elem.insert("g").attr("class", "root"); if (!graph.nodes()) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("No nodes found for", graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("No nodes found for", graph); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Recursive render XXX", graph.nodes()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Recursive render XXX", graph.nodes()); } if (graph.edges().length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Recursive edges", graph.edge(graph.edges()[0])); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Recursive edges", graph.edge(graph.edges()[0])); } const clusters = elem.insert("g").attr("class", "clusters"); const edgePaths = elem.insert("g").attr("class", "edgePaths"); @@ -24068,56 +24335,64 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => const node = graph.node(v); if (parentCluster !== void 0) { const data = JSON.parse(JSON.stringify(parentCluster.clusterData)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Setting data for cluster XXX (", v, ") ", data, parentCluster); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Setting data for cluster XXX (", v, ") ", data, parentCluster); graph.setNode(parentCluster.id, data); if (!graph.parent(v)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Setting parent", v, parentCluster.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Setting parent", v, parentCluster.id); graph.setParent(v, parentCluster.id, data); } } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("(Insert) Node XXX" + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("(Insert) Node XXX" + v + ": " + JSON.stringify(graph.node(v))); if (node && node.clusterNode) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster identified", v, node.width, graph.node(v)); - const o = await recursiveRender(nodes, node.graph, diagramtype, id, graph.node(v)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster identified", v, node.width, graph.node(v)); + const o = await recursiveRender( + nodes, + node.graph, + diagramtype, + id, + graph.node(v), + siteConfig + ); const newEl = o.elem; - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.u)(node, newEl); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.u)(node, newEl); node.diff = o.diff || 0; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node bounds (abc123)", v, node, node.width, node.x, node.y); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.s)(newEl, node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Recursive render complete ", newEl, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node bounds (abc123)", v, node, node.width, node.x, node.y); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.s)(newEl, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Recursive render complete ", newEl, node); } else { if (graph.children(v).length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster - the non recursive path XXX", v, node.id, node, graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(findNonClusterChild(node.id, graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster - the non recursive path XXX", v, node.id, node, graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(findNonClusterChild(node.id, graph)); clusterDb[node.id] = { id: findNonClusterChild(node.id, graph), node }; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node - the non recursive path", v, node.id, node); - await (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, graph.node(v), dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node - the non recursive path", v, node.id, node); + await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, graph.node(v), dir); } } }) ); graph.edges().forEach(function(e) { const edge = graph.edge(e.v, e.w, e.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": ", e, " ", JSON.stringify(graph.edge(e))); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Fix", clusterDb, "ids:", e.v, e.w, "Translateing: ", clusterDb[e.v], clusterDb[e.w]); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.f)(edgeLabels, edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": ", e, " ", JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Fix", clusterDb, "ids:", e.v, e.w, "Translateing: ", clusterDb[e.v], clusterDb[e.w]); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.f)(edgeLabels, edge); }); graph.edges().forEach(function(e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("### Layout ###"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(graph); - (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__/* .layout */ .bK)(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph after layout:", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("### Layout ###"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(graph); + (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__/* .layout */ .cn)(graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph after layout:", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); let diff = 0; + const { subGraphTitleTotalMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); sortNodesByHierarchy(graph).forEach(function(v) { const node = graph.node(v); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Position " + v + ": " + JSON.stringify(graph.node(v))); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Position " + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info( "Position " + v + ": (" + node.x, "," + node.y, ") width: ", @@ -24126,25 +24401,29 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => node.height ); if (node && node.clusterNode) { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); + node.y += subGraphTitleTotalMargin; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); } else { if (graph.children(v).length > 0) { + node.height += subGraphTitleTotalMargin; insertCluster(clusters, node); clusterDb[node.id].node = node; } else { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); + node.y += subGraphTitleTotalMargin / 2; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); } } }); graph.edges().forEach(function(e) { const edge = graph.edge(e); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(edge), edge); - const paths = (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.g)(edgePaths, e, edge, clusterDb, diagramtype, graph, id); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.h)(edge, paths); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(edge), edge); + edge.points.forEach((point) => point.y += subGraphTitleTotalMargin / 2); + const paths = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.h)(edgePaths, e, edge, clusterDb, diagramtype, graph, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.j)(edge, paths); }); graph.nodes().forEach(function(v) { const n = graph.node(v); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(v, n.type, n.diff); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(v, n.type, n.diff); if (n.type === "group") { diff = n.diff; } @@ -24152,37 +24431,38 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => return { elem, diff }; }; const render = async (elem, graph, markers, diagramtype, id) => { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.a)(elem, markers, diagramtype, id); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.b)(); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.d)(); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.a)(elem, markers, diagramtype, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.b)(); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.d)(); clear(); clear$1(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph at first:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph at first:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph))); adjustClustersAndEdges(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph after:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph))); - await recursiveRender(elem, graph, diagramtype, id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph after:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph))); + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + await recursiveRender(elem, graph, diagramtype, id, void 0, siteConfig); }; /***/ }), -/***/ 63343: +/***/ 10776: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(60885); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(45625); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(64218); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(24743); -/* harmony import */ var _index_0980fb80_js__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(74852); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(22424); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(39354); +/* harmony import */ var _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(91300); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(95536); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(37352); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(79010); +/* harmony import */ var _index_8fae9850_js__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(37024); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(57776); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(41520); @@ -24271,14 +24551,14 @@ const setupNode = (g, parent, parsedItem, diagramStates, diagramDb, altFlag) => if (parsedItem.start === false) { shape = SHAPE_END; } - if (parsedItem.type !== _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.D) { + if (parsedItem.type !== _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.D) { shape = parsedItem.type; } if (!nodeDb[itemId]) { nodeDb[itemId] = { id: itemId, shape, - description: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.e.sanitizeText(itemId, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.c)()), + description: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.e.sanitizeText(itemId, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.c)()), classes: `${classStr} ${CSS_DIAGRAM_STATE}` }; } @@ -24300,16 +24580,16 @@ const setupNode = (g, parent, parsedItem, diagramStates, diagramDb, altFlag) => newNode.description = parsedItem.description; } } - newNode.description = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.e.sanitizeTextOrArray(newNode.description, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.c)()); + newNode.description = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.e.sanitizeTextOrArray(newNode.description, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.c)()); } if (newNode.description.length === 1 && newNode.shape === SHAPE_STATE_WITH_DESC) { newNode.shape = SHAPE_STATE; } if (!newNode.type && parsedItem.doc) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.l.info("Setting cluster for ", itemId, getDir(parsedItem)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.l.info("Setting cluster for ", itemId, getDir(parsedItem)); newNode.type = "group"; newNode.dir = getDir(parsedItem); - newNode.shape = parsedItem.type === _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.a ? SHAPE_DIVIDER : SHAPE_GROUP; + newNode.shape = parsedItem.type === _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.a ? SHAPE_DIVIDER : SHAPE_GROUP; newNode.classes = newNode.classes + " " + CSS_DIAGRAM_CLUSTER + " " + (altFlag ? CSS_DIAGRAM_CLUSTER_ALT : ""); } const nodeData = { @@ -24387,25 +24667,25 @@ const setupNode = (g, parent, parsedItem, diagramStates, diagramDb, altFlag) => } } if (parent && parent.id !== "root") { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.l.trace("Setting node ", itemId, " to be child of its parent ", parent.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.l.trace("Setting node ", itemId, " to be child of its parent ", parent.id); g.setParent(itemId, parent.id); } if (parsedItem.doc) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.l.trace("Adding nodes children "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.l.trace("Adding nodes children "); setupDoc(g, parsedItem, parsedItem.doc, diagramStates, diagramDb, !altFlag); } }; const setupDoc = (g, parentParsedItem, doc, diagramStates, diagramDb, altFlag) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.l.trace("items", doc); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.l.trace("items", doc); doc.forEach((item) => { switch (item.stmt) { - case _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.b: + case _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.b: setupNode(g, parentParsedItem, item, diagramStates, diagramDb, altFlag); break; - case _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.D: + case _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.D: setupNode(g, parentParsedItem, item, diagramStates, diagramDb, altFlag); break; - case _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.S: + case _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.S: { setupNode(g, parentParsedItem, item.state1, diagramStates, diagramDb, altFlag); setupNode(g, parentParsedItem, item.state2, diagramStates, diagramDb, altFlag); @@ -24415,7 +24695,7 @@ const setupDoc = (g, parentParsedItem, doc, diagramStates, diagramDb, altFlag) = arrowTypeEnd: "arrow_barb", style: G_EDGE_STYLE, labelStyle: "", - label: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.e.sanitizeText(item.description, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.c)()), + label: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.e.sanitizeText(item.description, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.c)()), arrowheadStyle: G_EDGE_ARROWHEADSTYLE, labelpos: G_EDGE_LABELPOS, labelType: G_EDGE_LABELTYPE, @@ -24429,7 +24709,7 @@ const setupDoc = (g, parentParsedItem, doc, diagramStates, diagramDb, altFlag) = } }); }; -const getDir = (parsedItem, defaultDir = _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.c) => { +const getDir = (parsedItem, defaultDir = _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.c) => { let dir = defaultDir; if (parsedItem.doc) { for (let i = 0; i < parsedItem.doc.length; i++) { @@ -24442,17 +24722,17 @@ const getDir = (parsedItem, defaultDir = _styles_401768ef_js__WEBPACK_IMPORTED_M return dir; }; const draw = async function(text, id, _version, diag) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.l.info("Drawing state diagram (v2)", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.l.info("Drawing state diagram (v2)", id); nodeDb = {}; diag.db.getDirection(); - const { securityLevel, state: conf } = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.c)(); + const { securityLevel, state: conf } = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.c)(); const nodeSpacing = conf.nodeSpacing || 50; const rankSpacing = conf.rankSpacing || 50; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.l.info(diag.db.getRootDocV2()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.l.info(diag.db.getRootDocV2()); diag.db.extract(diag.db.getRootDocV2()); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.l.info(diag.db.getRootDocV2()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.l.info(diag.db.getRootDocV2()); const diagramStates = diag.db.getStates(); - const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__/* .Graph */ .k({ + const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_0__/* .Graph */ .M({ multigraph: true, compound: true }).setGraph({ @@ -24467,22 +24747,22 @@ const draw = async function(text, id, _version, diag) { setupNode(g, void 0, diag.db.getRootDocV2(), diagramStates, diag.db, true); let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_1__/* .select */ .MlD)("body"); const svg = root.select(`[id="${id}"]`); const element = root.select("#" + id + " g"); - await (0,_index_0980fb80_js__WEBPACK_IMPORTED_MODULE_9__.r)(element, g, ["barb"], CSS_DIAGRAM, id); + await (0,_index_8fae9850_js__WEBPACK_IMPORTED_MODULE_9__.r)(element, g, ["barb"], CSS_DIAGRAM, id); const padding = 8; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.u.insertTitle(svg, "statediagramTitleText", conf.titleTopMargin, diag.db.getDiagramTitle()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.u.insertTitle(svg, "statediagramTitleText", conf.titleTopMargin, diag.db.getDiagramTitle()); const bounds = svg.node().getBBox(); const width = bounds.width + padding * 2; const height = bounds.height + padding * 2; svg.attr("class", CSS_DIAGRAM); const svgBounds = svg.node().getBBox(); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.i)(svg, height, width, conf.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.i)(svg, height, width, conf.useMaxWidth); const vBox = `${svgBounds.x - padding} ${svgBounds.y - padding} ${width} ${height}`; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_8__.l.debug(`viewBox ${vBox}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_8__.l.debug(`viewBox ${vBox}`); svg.attr("viewBox", vBox); const labels = document.querySelectorAll('[id="' + id + '"] .edgeLabel .label'); for (const label of labels) { @@ -24501,16 +24781,16 @@ const renderer = { draw }; const diagram = { - parser: _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.p, - db: _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d, + parser: _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.p, + db: _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d, renderer, - styles: _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.s, + styles: _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.s, init: (cnf) => { if (!cnf.state) { cnf.state = {}; } cnf.state.arrowMarkerAbsolute = cnf.arrowMarkerAbsolute; - _styles_401768ef_js__WEBPACK_IMPORTED_MODULE_7__.d.clear(); + _styles_b2c874b6_js__WEBPACK_IMPORTED_MODULE_7__.d.clear(); } }; @@ -24518,7 +24798,7 @@ const diagram = { /***/ }), -/***/ 60885: +/***/ 91300: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -24531,7 +24811,7 @@ const diagram = { /* harmony export */ p: () => (/* binding */ parser$1), /* harmony export */ s: () => (/* binding */ styles) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(24743); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(79010); var parser = function() { var o = function(k, v, o2, l) { @@ -25355,7 +25635,7 @@ const relationType = { }; const clone = (o) => JSON.parse(JSON.stringify(o)); const setRootDoc = (o) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting root doc", o); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting root doc", o); rootDoc = o; }; const getRootDoc = () => rootDoc; @@ -25389,7 +25669,7 @@ const docTranslator = (parent, node, first) => { if (doc.length > 0 && currentDoc.length > 0) { const newNode = { stmt: STMT_STATE, - id: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.G)(), + id: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.F)(), type: "divider", doc: clone(currentDoc) }; @@ -25411,9 +25691,9 @@ const extract = (_doc) => { } else { doc = _doc; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info(doc); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info(doc); clear(true); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Extract", doc); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Extract", doc); doc.forEach((item) => { switch (item.stmt) { case STMT_STATE: @@ -25443,7 +25723,7 @@ const extract = (_doc) => { const addState = function(id, type = DEFAULT_STATE_TYPE, doc = null, descr = null, note = null, classes2 = null, styles2 = null, textStyles = null) { const trimmedId = id == null ? void 0 : id.trim(); if (currentDocument.states[trimmedId] === void 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Adding state ", trimmedId, descr); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Adding state ", trimmedId, descr); currentDocument.states[trimmedId] = { id: trimmedId, descriptions: [], @@ -25463,7 +25743,7 @@ const addState = function(id, type = DEFAULT_STATE_TYPE, doc = null, descr = nul } } if (descr) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state description", trimmedId, descr); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state description", trimmedId, descr); if (typeof descr === "string") { addDescription(trimmedId, descr.trim()); } @@ -25473,23 +25753,23 @@ const addState = function(id, type = DEFAULT_STATE_TYPE, doc = null, descr = nul } if (note) { currentDocument.states[trimmedId].note = note; - currentDocument.states[trimmedId].note.text = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText( + currentDocument.states[trimmedId].note.text = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText( currentDocument.states[trimmedId].note.text, - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)() + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)() ); } if (classes2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state classes", trimmedId, classes2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state classes", trimmedId, classes2); const classesList = typeof classes2 === "string" ? [classes2] : classes2; classesList.forEach((klass) => setCssClass(trimmedId, klass.trim())); } if (styles2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state styles", trimmedId, styles2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state styles", trimmedId, styles2); const stylesList = typeof styles2 === "string" ? [styles2] : styles2; stylesList.forEach((style) => setStyle(trimmedId, style.trim())); } if (textStyles) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state styles", trimmedId, styles2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Setting state styles", trimmedId, styles2); const textStylesList = typeof textStyles === "string" ? [textStyles] : textStyles; textStylesList.forEach((textStyle) => setTextStyle(trimmedId, textStyle.trim())); } @@ -25502,7 +25782,7 @@ const clear = function(saveCommon) { startEndCount = 0; classes = newClassesList(); if (!saveCommon) { - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.t)(); } }; const getState = function(id) { @@ -25512,7 +25792,7 @@ const getStates = function() { return currentDocument.states; }; const logDocuments = function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Documents = ", documents); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.l.info("Documents = ", documents); }; const getRelations = function() { return currentDocument.relations; @@ -25567,7 +25847,7 @@ function addRelationObjs(item1, item2, relationTitle) { currentDocument.relations.push({ id1, id2, - relationTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(relationTitle, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)()) + relationTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(relationTitle, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)()) }); } const addRelation = function(item1, item2, title) { @@ -25583,14 +25863,14 @@ const addRelation = function(item1, item2, title) { currentDocument.relations.push({ id1, id2, - title: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(title, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)()) + title: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(title, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)()) }); } }; const addDescription = function(id, descr) { const theState = currentDocument.states[id]; const _descr = descr.startsWith(":") ? descr.replace(":", "").trim() : descr; - theState.descriptions.push(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(_descr, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_0__.c)())); + theState.descriptions.push(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.e.sanitizeText(_descr, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_0__.c)())); }; const cleanupLabel = function(label) { if (label.substring(0, 1) === ":") { @@ -25652,7 +25932,7 @@ const setDirection = (dir) => { }; 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n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],a=[],i=[null],s=[],r=this.table,l="",o=0,c=0,h=s.slice.call(arguments,1),d=Object.create(this.lexer),u={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(u.yy[p]=this.yy[p]);d.setInput(t,u.yy),u.yy.lexer=d,u.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var y=d.yylloc;s.push(y);var f=d.options&&d.options.ranges;"function"==typeof u.yy.parseError?this.parseError=u.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var b,g,x,_,m,E,A,S,C,k={};;){if(g=n[n.length-1],this.defaultActions[g]?x=this.defaultActions[g]:(null==b&&(C=void 0,"number"!=typeof(C=a.pop()||d.lex()||1)&&(C instanceof Array&&(C=(a=C).pop()),C=e.symbols_[C]||C),b=C),x=r[g]&&r[g][b]),void 0===x||!x.length||!x[0]){var O="";for(m in S=[],r[g])this.terminals_[m]&&m>2&&S.push("'"+this.terminals_[m]+"'");O=d.showPosition?"Parse error on line "+(o+1)+":\n"+d.showPosition()+"\nExpecting "+S.join(", ")+", got '"+(this.terminals_[b]||b)+"'":"Parse error on line "+(o+1)+": Unexpected "+(1==b?"end of input":"'"+(this.terminals_[b]||b)+"'"),this.parseError(O,{text:d.match,token:this.terminals_[b]||b,line:d.yylineno,loc:y,expected:S})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+g+", token: "+b);switch(x[0]){case 1:n.push(b),i.push(d.yytext),s.push(d.yylloc),n.push(x[1]),b=null,c=d.yyleng,l=d.yytext,o=d.yylineno,y=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],k.$=i[i.length-E],k._$={first_line:s[s.length-(E||1)].first_line,last_line:s[s.length-1].last_line,first_column:s[s.length-(E||1)].first_column,last_column:s[s.length-1].last_column},f&&(k._$.range=[s[s.length-(E||1)].range[0],s[s.length-1].range[1]]),void 0!==(_=this.performAction.apply(k,[l,c,o,u.yy,x[1],i,s].concat(h))))return _;E&&(n=n.slice(0,-1*E*2),i=i.slice(0,-1*E),s=s.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),i.push(k.$),s.push(k._$),A=r[n[n.length-2]][n[n.length-1]],n.push(A);break;case 3:return!0}}return!0}},it={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var a=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===a.length?this.yylloc.first_column:0)+a[a.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,a,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(a=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=a.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:a?a[a.length-1].length-a[a.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var s in i)this[s]=i[s];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,a;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),s=0;se[0].length)){if(e=n,a=s,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[s])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,i[a]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,a){switch(n){case 0:return 6;case 1:return 7;case 2:return 8;case 3:return 9;case 4:return 22;case 5:return 23;case 6:return this.begin("acc_title"),24;case 7:return this.popState(),"acc_title_value";case 8:return this.begin("acc_descr"),26;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:case 73:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:case 16:case 70:break;case 14:c;break;case 15:return 12;case 17:return 11;case 18:return 15;case 19:return 16;case 20:return 17;case 21:return 18;case 22:return this.begin("person_ext"),45;case 23:return this.begin("person"),44;case 24:return this.begin("system_ext_queue"),51;case 25:return this.begin("system_ext_db"),50;case 26:return this.begin("system_ext"),49;case 27:return this.begin("system_queue"),48;case 28:return this.begin("system_db"),47;case 29:return this.begin("system"),46;case 30:return this.begin("boundary"),37;case 31:return this.begin("enterprise_boundary"),34;case 32:return this.begin("system_boundary"),36;case 33:return this.begin("container_ext_queue"),57;case 34:return this.begin("container_ext_db"),56;case 35:return this.begin("container_ext"),55;case 36:return this.begin("container_queue"),54;case 37:return this.begin("container_db"),53;case 38:return this.begin("container"),52;case 39:return this.begin("container_boundary"),38;case 40:return this.begin("component_ext_queue"),63;case 41:return this.begin("component_ext_db"),62;case 42:return this.begin("component_ext"),61;case 43:return this.begin("component_queue"),60;case 44:return this.begin("component_db"),59;case 45:return this.begin("component"),58;case 46:case 47:return this.begin("node"),39;case 48:return this.begin("node_l"),40;case 49:return this.begin("node_r"),41;case 50:return this.begin("rel"),64;case 51:return this.begin("birel"),65;case 52:case 53:return this.begin("rel_u"),66;case 54:case 55:return this.begin("rel_d"),67;case 56:case 57:return this.begin("rel_l"),68;case 58:case 59:return this.begin("rel_r"),69;case 60:return this.begin("rel_b"),70;case 61:return this.begin("rel_index"),71;case 62:return this.begin("update_el_style"),72;case 63:return 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Reproduction Levels",id:"e-reproduction-levels",level:2},{value:"References",id:"references",level:2}];function p(e){const n={a:"a",code:"code",em:"em",h2:"h2",h3:"h3",h4:"h4",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,s.M)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsxs)(n.p,{children:["To obtain the data and baseline code, please visit the ",(0,t.jsx)(n.a,{href:"../cpc1_download",children:"download"})," page."]}),"\n",(0,t.jsx)(n.h2,{id:"a-training-development-evaluation-data",children:"A. Training, development, evaluation data"}),"\n",(0,t.jsxs)(n.p,{children:["The dataset is split into these two subsets: training/development (",(0,t.jsx)(n.code,{children:"train"}),") and evaluation (",(0,t.jsx)(n.code,{children:"eval"}),")."]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"You are responsible for splitting the training/development dataset into data for training and development, e.g., using k-fold cross validation."}),"\n",(0,t.jsx)(n.li,{children:"The final evaluation and ranking will be performed with the (held-out) evaluation set."}),"\n",(0,t.jsxs)(n.li,{children:["For more information on supplementing the training data, please see the ",(0,t.jsx)(n.a,{href:"../taking_part/cpc1_rules",children:"rules"}),", and also the ",(0,t.jsx)(n.a,{href:"../taking_part/cpc1_faq#data",children:"FAQ"}),". The evaluation dataset will be made available one month before the challenge submission deadline."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"b-the-scene-dataset",children:"B. The scene dataset"}),"\n",(0,t.jsx)(n.p,{children:"The complete dataset is composed of a large number of scenes associated with 6 talkers, 10 hearing aid systems and around 25 listeners."}),"\n",(0,t.jsxs)(n.p,{children:["Each ",(0,t.jsx)(n.strong,{children:"scene"})," corresponds to a unique target utterance and a unique segment of noise from an interferer. The training/development and evaluation sets are disjoint for system and listener."]}),"\n",(0,t.jsxs)(n.p,{children:["Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. 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For the prediction challenge, some of the data can be ignored (but is included because some may find it useful)."}),"\n",(0,t.jsx)(n.p,{children:"Data and metadata most useful for the prediction challenge:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The output of the hearing aid processor."}),"\n",(0,t.jsx)(n.li,{children:"The target convolved with the anechoic Binaural Room Impulse Response (BRIR) (channel 1) for each ear (\u2018target_anechoic\u2019)."}),"\n",(0,t.jsx)(n.li,{children:"The mono target and interferer signals (pre-convolution)."}),"\n",(0,t.jsx)(n.li,{children:"Prompts of the utterances (what the actors were told to say)"}),"\n",(0,t.jsx)(n.li,{children:"Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"For evaluation not all of the data is available, see below."})}),"\n",(0,t.jsxs)(r.c,{summary:"Other information also provided, click me to expand",children:[(0,t.jsx)(n.p,{children:"Data used to create inputs to hearing aids, etc:"}),(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears)."}),"\n",(0,t.jsx)(n.li,{children:"Head Related Impulse Responses (HRIRs) including those corresponding to the target azimuth."}),"\n",(0,t.jsxs)(n.li,{children:["For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0):","\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The target convolved with the appropriate BRIR;"}),"\n",(0,t.jsx)(n.li,{children:"The interferer convolved with the appropriate BRIR;"}),"\n",(0,t.jsx)(n.li,{children:"The sum of the target and interferer convolved with the appropriate BRIRs."}),"\n"]}),"\n"]}),"\n"]}),(0,t.jsx)(n.p,{children:"The BRIRs are generated for:"}),(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered."}),"\n",(0,t.jsx)(n.li,{children:"Close to the eardrum."}),"\n",(0,t.jsx)(n.li,{children:"The anechoic target reference (front microphone; the premixed target signal convolved with the BRIR with the reflections \u201cturned off\u201d)."}),"\n"]}),(0,t.jsxs)("figure",{id:"fig1",children:[(0,t.jsx)("img",{width:"200",src:(0,a.c)("/img/tutorial/BTE-e1606144768702.png")}),(0,t.jsx)("figcaption",{children:"Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form."})]}),(0,t.jsx)(n.p,{children:"(HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear."}),(0,t.jsx)(n.p,{children:'The RAVEN project files - termed "rpf" - are specification files for the geometric room acoustic model that include a complete description of the room.'})]}),"\n",(0,t.jsx)(n.h3,{id:"b2-evaluation-scene-data",children:"B.2 Evaluation scene data"}),"\n",(0,t.jsx)(n.p,{children:"For each scene in the evaluation data only the following will be available:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The output of the hearing aid processor."}),"\n",(0,t.jsx)(n.li,{children:"The target convolved with the anechoic BRIR (channel 1) for each ear (\u2018target_anechoic\u2019)."}),"\n",(0,t.jsx)(n.li,{children:"The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided."}),"\n",(0,t.jsx)(n.li,{children:"The listener metadata."}),"\n",(0,t.jsx)(n.li,{children:"The prompt for the utterances (the text the actors were given to read)"}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"c-listener-data",children:"C Listener data"}),"\n",(0,t.jsx)(n.p,{children:"We will provide metadata characterising the hearing abilities of our listening panel. The listening panel data will be split, so that the listeners in the held back evaluation data are different from those provided in the training and development data. The listening panel are experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English."}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:["For ",(0,t.jsx)(n.strong,{children:"every"})," listener, you will be given the left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound."]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:["For ",(0,t.jsx)(n.strong,{children:"some"})," listeners you will be provided with additional characterisation of their hearing. Consequently, if you wish to exploit this additional data, you will need to deal with the missing data. See the ",(0,t.jsx)(n.a,{href:"../taking_part/cpc1_faq#missing-data",children:"FAQ"})," for more on missing data. Below is a description of each measure."]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.h4,{id:"ssq12---speech-spatial--qualities-of-hearing-questionnaire-12-question-version",children:"SSQ12 - Speech, Spatial, & Qualities of Hearing questionnaire, 12-question version"}),"\n",(0,t.jsxs)(n.p,{children:["This is a popular self-assessment questionnaire of hearing disability. Each item asks about listening situations typical of real life and asks how well a listener would do in it. The SSQ assesses ability to make successful use of one\u2019s hearing (i.e. hearing disability, or activity limitation). This is an intermediate link between the audiological measurement of someone's hearing loss (i.e. their impairment) and a patient's assessment of how that hearing loss impacts their wider life (i.e. their handicap, or participation restriction). ",(0,t.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/23651462/",children:"The 12 questions are given in table 1 of this paper"})," and FYI ",(0,t.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/33375840/",children:"a recent paper that used it is here"}),"."]}),"\n",(0,t.jsx)(n.p,{children:'Responses to each question are on a scale from 0 to 10, with 0 representing "not at all" (or "jumbled"/"concentrate hard" for #11 & #12), and 10 representing "perfect" (or "not jumbled"/"no need to concentrate"). We programmed this as a visual-analog slider, which the participant could set to any position from 0 to 10. The SSQ12 data supplied are the responses to each question, from 0-10 at 1 decimal place resolution, along with the mean of all 12 questions.'}),"\n",(0,t.jsx)(n.h4,{id:"ghapb---glasgow-hearing-aid-benefit-profile-questionnaire",children:"GHAPB - Glasgow hearing-aid benefit profile questionnaire"}),"\n",(0,t.jsxs)(n.p,{children:["This is designed to assess the efficacy and effectiveness of someone's hearing aid(s) in different scenarios. It asks respondents to consider four scenarios involving speech and to rate on a five-point scale their perceived initial (i.e. unaided) hearing disability, initial handicap, aided benefit, aided handicap, hearing aid use, and hearing aid satisfaction. The listening panel are experienced hearing-aid users, so some of the rating would be about their normal hearing aid. ",(0,t.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/24484267/",children:"This paper"})," describes the GHABP and provides some normative data."]}),"\n",(0,t.jsx)(n.p,{children:"For each scenario, the participant is asked a primary question about if a situation happens to them (relatable). If they answer"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"No, it moves onto to the next scenario."}),"\n",(0,t.jsxs)(n.li,{children:["Yes, then a list of six secondary questions are asked (see figure below)","\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:'If one of the secondary questions is not relatable to the participant, they\'re asked to respond "N/A" for not applicable.'}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)("figure",{id:"fig2",children:[(0,t.jsx)("img",{width:"300",src:(0,a.c)("/img/GHAPB.png")}),(0,t.jsx)("figcaption",{children:"Figure 2. The GHAPB questionnaire."})]}),"\n",(0,t.jsx)(n.p,{children:"There are four scenarios:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"listening to the television when the volume is adjusted for others."}),"\n",(0,t.jsx)(n.li,{children:"Having a conversation with one person in quiet."}),"\n",(0,t.jsx)(n.li,{children:"Having a conversation on a busy street or in a shop."}),"\n",(0,t.jsx)(n.li,{children:"Having a conversation with several people in a group."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"In the datafile, the question numbers are coded as x.y where x is the scenario number and y the secondary question number."}),"\n",(0,t.jsx)(n.p,{children:"If the answer to primary questions is No, then all the secondary questions are coded as 0."}),"\n",(0,t.jsx)(n.p,{children:"If the answer to primary questions is Yes, then each subsequent question is scored as\r\n0. = N/A"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:'= first option in the list (eg "no difficulty")'}),"\n",(0,t.jsx)(n.li,{children:"= second"}),"\n",(0,t.jsx)(n.li,{children:"= third"}),"\n",(0,t.jsx)(n.li,{children:"= fourth"}),"\n",(0,t.jsx)(n.li,{children:'= fifth (e.g. "cannot manage at all")'}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"There is no global score for the GHABP. The six secondary questions ask about different things and so should not be averaged across questions, though it is fairly common to average within-question across scenario."}),"\n",(0,t.jsx)(n.h4,{id:"dtt-digit-triplet-test-also-known-as-a-triple-digit-test",children:"DTT (digit-triplet test, also known as a triple digit test)"}),"\n",(0,t.jsx)(n.p,{children:"This is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet."}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/33840339/",children:"This paper"})," is a recent scoping review of the field. The particular version we used is ",(0,t.jsxs)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/25127323/",children:["Vlaming et al's ",(0,t.jsx)(n.em,{children:"high-frequency DTT"})]}),", which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials."]}),"\n",(0,t.jsx)(n.p,{children:"In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored."}),"\n",(0,t.jsx)(n.h2,{id:"d-data-file-formats-and-naming-conventions",children:"D Data file formats and naming conventions"}),"\n",(0,t.jsx)(n.h3,{id:"d1-abbreviations-in-filenames",children:"D.1 Abbreviations in Filenames"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"R"})," \u2013 \u201croom\u201d: e.g., \u201cR02678\u201d # Room ID linking to RAVEN rpf file"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"S"})," \u2013 \u201cscene\u201d: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signals"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"BNC"})," \u2013 BNC sentence identifier e.g. BNC_A06_01702"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH"})," \u2013","\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH0"})," \u2013 eardrum signal"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH1"})," \u2013 front signal, hearing aid channel"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH2"})," \u2013 middle signal, hearing aid channel"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH3"})," \u2013 rear signal, hearing aid channel"]}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"I"}),"/",(0,t.jsx)(n.code,{children:"i1"})," \u2013 Interferer, i.e., noise or sentence ID for the interferer/masker"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"T"})," \u2013 talker who produced the target speech sentences"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"L"})," \u2013 listener"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"E"})," \u2013 entrant (identifying a team participating in the challenge)"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"t"})," \u2013 target (used in BRIRs and RAVEN project \u2018rpf\u2019 files)"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d2-general",children:"D.2 General"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate."}),"\n",(0,t.jsx)(n.li,{children:"Where stereo signals are provided, the two channels represent the left and right signals of the ear or hearing aid microphones."}),"\n",(0,t.jsx)(n.li,{children:"HRIRs have a sampling rate of 48 kHz."}),"\n",(0,t.jsx)(n.li,{children:"Metadata will be stored in JSON format wherever possible."}),"\n",(0,t.jsx)(n.li,{children:"Room descriptions are stored as RAVEN project \u2018rpf\u2019 configuration files."}),"\n",(0,t.jsx)(n.li,{children:"Signals are saved within the Python code as 32-bit floating point by default."}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d3-prompt-and-transcription-data",children:"D.3 Prompt and transcription data"}),"\n",(0,t.jsx)(n.p,{children:"The following text is available for the target speech:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Prompts are the text that was supposed to be spoken as presented to the readers."}),"\n",(0,t.jsx)(n.li,{children:"\u2018Dot\u2019 transcriptions contain the text as it was spoken in a form more suitable for scoring tools."}),"\n",(0,t.jsx)(n.li,{children:"These are stored in the master json metadata file."}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d4-timing-in-audio-files",children:"D.4 Timing in audio files"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise."}),"\n",(0,t.jsx)(n.li,{children:"The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked."}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d5-source-audio-files",children:"D.5 Source audio files"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Wav files containing the original source materials."}),"\n",(0,t.jsx)(n.li,{children:"Could be used as the clean speech reference in an intrusive (double-ended) prediction model"}),"\n",(0,t.jsx)(n.li,{children:"Original target sentence recordings:"}),"\n"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{children:" _.wav\n"})}),"\n",(0,t.jsx)(n.h3,{id:"d6-preprocessed-scene-signals",children:"D.6 Preprocessed scene signals"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Audio files storing the signals picked up by the hearing aid microphone ready for processing."}),"\n",(0,t.jsx)(n.li,{children:"Target_anechoic could be used as the clean speech reference in an intrusive (double-ended) prediction model."}),"\n",(0,t.jsx)(n.li,{children:"Separate signals are generated for each hearing aid microphone pair or \u2018channel\u2019."}),"\n"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{children:"_target_.wav\r\n_interferer_.wav\r\n_mixed_.wav\r\n_target_anechoic.wav\n"})}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.code,{children:"Scene ID"})," \u2013 S00001 to S10000"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"S"})," followed by 5 digit integer with 0 pre-padding"]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.code,{children:"Channel ID"})}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH0"})," \u2013 Eardrum signal"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH1"})," \u2013 Hearing aid front microphone"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH2"})," \u2013 Hearing aid middle microphone"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH3"})," \u2013 Hearing aid rear microphone"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d7-enhanced-signals",children:"D.7 Enhanced signals"}),"\n",(0,t.jsx)(n.p,{children:"These are the audio signals that the listeners heard during the speech intelligibility testing. The signals that are output by a given enhancement (hearing aid) model or system."}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"___HA-output.wav"})," # HA output signal (i.e., as submitted by the challenge entrants)"]}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.code,{children:"Listener ID"})," \u2013 ID of the listener panel member, e.g., L200 to L244."]}),"\n","\n",(0,t.jsx)(n.h3,{id:"d8-scene-metadata",children:"D.8 Scene metadata"}),"\n",(0,t.jsxs)(n.p,{children:["A JSON file called ",(0,t.jsx)(n.code,{children:"scenes.CPC1_train.json"})," containing a description of each scene that is used in the listening experiments. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight."]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-json",metastring:'title="scenes.json"',children:'[\r\n {\r\n "scene": "S00001", \r\n "room": {\r\n "name": "R00001",\r\n "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres\r\n },\r\n "SNR": 3.8356,\r\n "hrirfilename": "VP_N5-ED", // HRIR filename\r\n "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z)\r\n "Positions": [ \r\n -0.5,\r\n 3.4,\r\n 1.2\r\n ],\r\n "ViewVectors": [\r\n 0.291,\r\n -0.957,\r\n 0\r\n ],\r\n "name": "T022_HCS_00002", // target speaker code and BNCid\r\n "nsamples": 153468, // length of target speech in samples\r\n },\r\n "listener": {\r\n "Positions": [\r\n 0.2,\r\n 1.1,\r\n 1.2\r\n ],\r\n "ViewVectors": [\r\n -0.414,\r\n 0.91,\r\n 0\r\n ]\r\n },\r\n "interferer": {\r\n "Positions": [\r\n 0.4,\r\n 3.2,\r\n 1.2\r\n ],\r\n "name": "CIN_dishwasher_012", // interferer name\r\n "nsamples": 1190700, // interferer length in samples\r\n "duration": 27, // interferer duration in seconds\r\n "type": "noise", // interferer type: noise or speech\r\n "offset": 182115, // interferer segment starts at n samples from beginning of recording\r\n },\r\n "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver\r\n "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver\r\n "dataset": "train", // dataset: train, dev or eval/test\r\n "pre_samples": 88200, // number of samples of interferer before target onset\r\n "post_samples": 44100 // number of samples of interferer after target offset\r\n },\r\n {\r\n // ... etc.\r\n }\r\n ]\n'})}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json."}),"\n",(0,t.jsx)(n.li,{children:"Note that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same."}),"\n",(0,t.jsx)(n.li,{children:"A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files."}),"\n",(0,t.jsxs)(n.li,{children:["The listener ID is not stored in the scene metadata; this information is stored separately in a ",(0,t.jsx)(n.code,{children:"scenes_listeners.json"})," file."]}),"\n",(0,t.jsxs)(n.li,{children:["Non-speech interferers are labelled ",(0,t.jsx)(n.code,{children:"CIN__XXX"}),", while speech interferers are labelled ",(0,t.jsx)(n.code,{children:"_XXXXX"})," ."]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d9-listener-metadata",children:"D.9 Listener metadata"}),"\n",(0,t.jsxs)(n.p,{children:["Listener audiogram data stored in a single JSON file called ",(0,t.jsx)(n.code,{children:"listeners.CPC1_train.json"})," with the following format."]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{\r\n "L0001": {\r\n "name": "L0001",\r\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\r\n "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60],\r\n "audiogram_levels_r": [10, 15, 25, 40, 50, 65, 65, 70 ],\r\n },\r\n "L0002": {\r\n // ... etc.\r\n },\r\n// ... etc.\r\n}\n'})}),"\n",(0,t.jsxs)(n.p,{children:["A ",(0,t.jsx)("b",{children:"spreadsheet"})," named ",(0,t.jsx)(n.code,{children:"listener_data.CPC1_train.xlsx"})," containing the ",(0,t.jsx)(n.a,{href:"#c-listener-data",children:"SSQ12, GHAPB, DTT data"})," for each listener where it is available."]}),"\n",(0,t.jsx)(n.h3,{id:"d10-listener-intelligibility-data",children:"D.10 Listener intelligibility data"}),"\n",(0,t.jsxs)(n.p,{children:["JSON files ",(0,t.jsx)(n.code,{children:"CPC1.train.json"})," (for Track 1) and ",(0,t.jsx)(n.code,{children:"CPC1.train_indep.json"})," (for Track 2) which provides the responses made by the listeners when presented with a particular scene processed by a particular system. The data is a simple list of dictionaries with one entry for each listener response"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-json",metastring:'title="CPC1.tran.json"',children:'[\r\n {\r\n "scene":"S08510", // The identity of the scene\r\n "listener":"L0239", // The identity of the listener\r\n "system":"E001", // The identify of the HA system\r\n "prompt":"i suppose you wouldn\'t be free for dinner this evening", // The target sentence (prompt)\r\n "response":"freeze evening", // The listeners response (transcript)\r\n "n_words":10, // Number of words in the target sentence\r\n "hits":1, // Number of words recognised correctly\r\n "correctness":10.0, // The percentage of words recognised correctly\r\n "signal":"S08510_L0239_E001" // The name of the file containing the signal listened to.\r\n },\r\n {\r\n // ... etc.\r\n },\r\n // ... etc.\r\n]\n'})}),"\n",(0,t.jsx)(n.h2,{id:"e-reproduction-levels",children:"E. Reproduction Levels"}),"\n",(0,t.jsx)(n.p,{children:"The graph gives the SPL from one of our headsets based on the volume level of the tablet. The input signal was ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3."}),"\n",(0,t.jsxs)("figure",{id:"fig3",children:[(0,t.jsx)("img",{width:"500",src:(0,a.c)("/img/volume_vs_dB.jpg")}),(0,t.jsx)("figcaption",{children:"Figure 3. Headset SPL by tablet volume level."})]}),"\n",(0,t.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,t.jsxs)(n.p,{children:["[1] ICRA standard noises, ",(0,t.jsx)(n.a,{href:"https://icra-audiology.org/Repository/icra-noise",children:"https://icra-audiology.org/Repository/icra-noise"}),". We used track #1."]})]})}function u(e={}){const{wrapper:n}={...(0,s.M)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(p,{...e})}):p(e)}},22808:(e,n,i)=>{i.d(n,{c:()=>m});var t=i(11504),s=i(34064),a=i(15420),r=i(5976),o=i(93664),l=i(58448);const d={details:"details_lb9f",isBrowser:"isBrowser_bmU9",collapsibleContent:"collapsibleContent_i85q"};var h=i(17624);function c(e){return!!e&&("SUMMARY"===e.tagName||c(e.parentElement))}function p(e,n){return!!e&&(e===n||p(e.parentElement,n))}function u(e){let{summary:n,children:i,...s}=e;(0,r.c)().collectAnchor(s.id);const u=(0,o.c)(),g=(0,t.useRef)(null),{collapsed:f,setCollapsed:m}=(0,l.a)({initialState:!s.open}),[x,j]=(0,t.useState)(s.open),v=t.isValidElement(n)?n:(0,h.jsx)("summary",{children:n??"Details"});return(0,h.jsxs)("details",{...s,ref:g,open:x,"data-collapsed":f,className:(0,a.c)(d.details,u&&d.isBrowser,s.className),onMouseDown:e=>{c(e.target)&&e.detail>1&&e.preventDefault()},onClick:e=>{e.stopPropagation();const n=e.target;c(n)&&p(n,g.current)&&(e.preventDefault(),f?(m(!1),j(!0)):m(!0))},children:[v,(0,h.jsx)(l.U,{lazy:!1,collapsed:f,disableSSRStyle:!0,onCollapseTransitionEnd:e=>{m(e),j(!e)},children:(0,h.jsx)("div",{className:d.collapsibleContent,children:i})})]})}const g={details:"details_b_Ee"},f="alert alert--info";function m(e){let{...n}=e;return(0,h.jsx)(u,{...n,className:(0,s.c)(f,g.details,n.className)})}},4552:(e,n,i)=>{i.d(n,{I:()=>o,M:()=>r});var t=i(11504);const s={},a=t.createContext(s);function r(e){const n=t.useContext(a);return t.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),t.createElement(a.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/7d91aad1.e3570308.js b/assets/js/7d91aad1.e3570308.js deleted file mode 100644 index 2938fae30..000000000 --- a/assets/js/7d91aad1.e3570308.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[3235],{86480:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>h,contentTitle:()=>l,default:()=>u,frontMatter:()=>o,metadata:()=>d,toc:()=>c});var t=i(85893),s=i(11151),a=i(44996),r=i(34673);const o={id:"cpc1_data",title:"CPC1 Data",sidebar_label:"Data Specification",sidebar_position:4},l=void 0,d={id:"cpc1/data/cpc1_data",title:"CPC1 Data",description:"To obtain the data and baseline code, please visit the download page.",source:"@site/docs/cpc1/data/cpc1_data.mdx",sourceDirName:"cpc1/data",slug:"/cpc1/data/cpc1_data",permalink:"/docs/cpc1/data/cpc1_data",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:4,frontMatter:{id:"cpc1_data",title:"CPC1 Data",sidebar_label:"Data Specification",sidebar_position:4},sidebar:"tutorialSidebar_cpc1",previous:{title:"The Scenario",permalink:"/docs/cpc1/data/cpc1_scenario"},next:{title:"Software",permalink:"/docs/category/software-2"}},h={},c=[{value:"A. Training, development, evaluation data",id:"a-training-development-evaluation-data",level:2},{value:"B. The scene dataset",id:"b-the-scene-dataset",level:2},{value:"B.1 Training/development data",id:"b1-trainingdevelopment-data",level:3},{value:"B.2 Evaluation scene data",id:"b2-evaluation-scene-data",level:3},{value:"C Listener data",id:"c-listener-data",level:2},{value:"SSQ12 - Speech, Spatial, & Qualities of Hearing questionnaire, 12-question version",id:"ssq12---speech-spatial--qualities-of-hearing-questionnaire-12-question-version",level:4},{value:"GHAPB - Glasgow hearing-aid benefit profile questionnaire",id:"ghapb---glasgow-hearing-aid-benefit-profile-questionnaire",level:4},{value:"DTT (digit-triplet test, also known as a triple digit test)",id:"dtt-digit-triplet-test-also-known-as-a-triple-digit-test",level:4},{value:"D Data file formats and naming conventions",id:"d-data-file-formats-and-naming-conventions",level:2},{value:"D.1 Abbreviations in Filenames",id:"d1-abbreviations-in-filenames",level:3},{value:"D.2 General",id:"d2-general",level:3},{value:"D.3 Prompt and transcription data",id:"d3-prompt-and-transcription-data",level:3},{value:"D.4 Timing in audio files",id:"d4-timing-in-audio-files",level:3},{value:"D.5 Source audio files",id:"d5-source-audio-files",level:3},{value:"D.6 Preprocessed scene signals",id:"d6-preprocessed-scene-signals",level:3},{value:"D.7 Enhanced signals",id:"d7-enhanced-signals",level:3},{value:"D.8 Scene metadata",id:"d8-scene-metadata",level:3},{value:"D.9 Listener metadata",id:"d9-listener-metadata",level:3},{value:"D.10 Listener intelligibility data",id:"d10-listener-intelligibility-data",level:3},{value:"E. Reproduction Levels",id:"e-reproduction-levels",level:2},{value:"References",id:"references",level:2}];function p(e){const n={a:"a",code:"code",em:"em",h2:"h2",h3:"h3",h4:"h4",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,s.a)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsxs)(n.p,{children:["To obtain the data and baseline code, please visit the ",(0,t.jsx)(n.a,{href:"../cpc1_download",children:"download"})," page."]}),"\n",(0,t.jsx)(n.h2,{id:"a-training-development-evaluation-data",children:"A. Training, development, evaluation data"}),"\n",(0,t.jsxs)(n.p,{children:["The dataset is split into these two subsets: training/development (",(0,t.jsx)(n.code,{children:"train"}),") and evaluation (",(0,t.jsx)(n.code,{children:"eval"}),")."]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"You are responsible for splitting the training/development dataset into data for training and development, e.g., using k-fold cross validation."}),"\n",(0,t.jsx)(n.li,{children:"The final evaluation and ranking will be performed with the (held-out) evaluation set."}),"\n",(0,t.jsxs)(n.li,{children:["For more information on supplementing the training data, please see the ",(0,t.jsx)(n.a,{href:"../taking_part/cpc1_rules",children:"rules"}),", and also the ",(0,t.jsx)(n.a,{href:"../taking_part/cpc1_faq#data",children:"FAQ"}),". The evaluation dataset will be made available one month before the challenge submission deadline."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"b-the-scene-dataset",children:"B. The scene dataset"}),"\n",(0,t.jsx)(n.p,{children:"The complete dataset is composed of a large number of scenes associated with 6 talkers, 10 hearing aid systems and around 25 listeners."}),"\n",(0,t.jsxs)(n.p,{children:["Each ",(0,t.jsx)(n.strong,{children:"scene"})," corresponds to a unique target utterance and a unique segment of noise from an interferer. The training/development and evaluation sets are disjoint for system and listener."]}),"\n",(0,t.jsxs)(n.p,{children:["Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on ",(0,t.jsx)(n.a,{href:"cpc1_scenario",children:"modelling the scenario"})," for more details. Randomised room dimensions, target and interferer locations are used. RAVEN is the geometric room acoustic model used to create the BRIR."]}),"\n",(0,t.jsx)(n.h3,{id:"b1-trainingdevelopment-data",children:"B.1 Training/development data"}),"\n",(0,t.jsx)(n.p,{children:"This contains all the information about how the signals processed by the hearing aids were created. For the prediction challenge, some of the data can be ignored (but is included because some may find it useful)."}),"\n",(0,t.jsx)(n.p,{children:"Data and metadata most useful for the prediction challenge:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The output of the hearing aid processor."}),"\n",(0,t.jsx)(n.li,{children:"The target convolved with the anechoic Binaural Room Impulse Response (BRIR) (channel 1) for each ear (\u2018target_anechoic\u2019)."}),"\n",(0,t.jsx)(n.li,{children:"The mono target and interferer signals (pre-convolution)."}),"\n",(0,t.jsx)(n.li,{children:"Prompts of the utterances (what the actors were told to say)"}),"\n",(0,t.jsx)(n.li,{children:"Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"For evaluation not all of the data is available, see below."})}),"\n",(0,t.jsxs)(r.Z,{summary:"Other information also provided, click me to expand",children:[(0,t.jsx)(n.p,{children:"Data used to create inputs to hearing aids, etc:"}),(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears)."}),"\n",(0,t.jsx)(n.li,{children:"Head Related Impulse Responses (HRIRs) including those corresponding to the target azimuth."}),"\n",(0,t.jsxs)(n.li,{children:["For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0):","\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The target convolved with the appropriate BRIR;"}),"\n",(0,t.jsx)(n.li,{children:"The interferer convolved with the appropriate BRIR;"}),"\n",(0,t.jsx)(n.li,{children:"The sum of the target and interferer convolved with the appropriate BRIRs."}),"\n"]}),"\n"]}),"\n"]}),(0,t.jsx)(n.p,{children:"The BRIRs are generated for:"}),(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered."}),"\n",(0,t.jsx)(n.li,{children:"Close to the eardrum."}),"\n",(0,t.jsx)(n.li,{children:"The anechoic target reference (front microphone; the premixed target signal convolved with the BRIR with the reflections \u201cturned off\u201d)."}),"\n"]}),(0,t.jsxs)("figure",{id:"fig1",children:[(0,t.jsx)("img",{width:"200",src:(0,a.Z)("/img/tutorial/BTE-e1606144768702.png")}),(0,t.jsx)("figcaption",{children:"Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form."})]}),(0,t.jsx)(n.p,{children:"(HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear."}),(0,t.jsx)(n.p,{children:'The RAVEN project files - termed "rpf" - are specification files for the geometric room acoustic model that include a complete description of the room.'})]}),"\n",(0,t.jsx)(n.h3,{id:"b2-evaluation-scene-data",children:"B.2 Evaluation scene data"}),"\n",(0,t.jsx)(n.p,{children:"For each scene in the evaluation data only the following will be available:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The output of the hearing aid processor."}),"\n",(0,t.jsx)(n.li,{children:"The target convolved with the anechoic BRIR (channel 1) for each ear (\u2018target_anechoic\u2019)."}),"\n",(0,t.jsx)(n.li,{children:"The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided."}),"\n",(0,t.jsx)(n.li,{children:"The listener metadata."}),"\n",(0,t.jsx)(n.li,{children:"The prompt for the utterances (the text the actors were given to read)"}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"c-listener-data",children:"C Listener data"}),"\n",(0,t.jsx)(n.p,{children:"We will provide metadata characterising the hearing abilities of our listening panel. The listening panel data will be split, so that the listeners in the held back evaluation data are different from those provided in the training and development data. The listening panel are experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English."}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:["For ",(0,t.jsx)(n.strong,{children:"every"})," listener, you will be given the left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound."]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:["For ",(0,t.jsx)(n.strong,{children:"some"})," listeners you will be provided with additional characterisation of their hearing. Consequently, if you wish to exploit this additional data, you will need to deal with the missing data. See the ",(0,t.jsx)(n.a,{href:"../taking_part/cpc1_faq#missing-data",children:"FAQ"})," for more on missing data. Below is a description of each measure."]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.h4,{id:"ssq12---speech-spatial--qualities-of-hearing-questionnaire-12-question-version",children:"SSQ12 - Speech, Spatial, & Qualities of Hearing questionnaire, 12-question version"}),"\n",(0,t.jsxs)(n.p,{children:["This is a popular self-assessment questionnaire of hearing disability. Each item asks about listening situations typical of real life and asks how well a listener would do in it. The SSQ assesses ability to make successful use of one\u2019s hearing (i.e. hearing disability, or activity limitation). This is an intermediate link between the audiological measurement of someone's hearing loss (i.e. their impairment) and a patient's assessment of how that hearing loss impacts their wider life (i.e. their handicap, or participation restriction). ",(0,t.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/23651462/",children:"The 12 questions are given in table 1 of this paper"})," and FYI ",(0,t.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/33375840/",children:"a recent paper that used it is here"}),"."]}),"\n",(0,t.jsx)(n.p,{children:'Responses to each question are on a scale from 0 to 10, with 0 representing "not at all" (or "jumbled"/"concentrate hard" for #11 & #12), and 10 representing "perfect" (or "not jumbled"/"no need to concentrate"). We programmed this as a visual-analog slider, which the participant could set to any position from 0 to 10. The SSQ12 data supplied are the responses to each question, from 0-10 at 1 decimal place resolution, along with the mean of all 12 questions.'}),"\n",(0,t.jsx)(n.h4,{id:"ghapb---glasgow-hearing-aid-benefit-profile-questionnaire",children:"GHAPB - Glasgow hearing-aid benefit profile questionnaire"}),"\n",(0,t.jsxs)(n.p,{children:["This is designed to assess the efficacy and effectiveness of someone's hearing aid(s) in different scenarios. It asks respondents to consider four scenarios involving speech and to rate on a five-point scale their perceived initial (i.e. unaided) hearing disability, initial handicap, aided benefit, aided handicap, hearing aid use, and hearing aid satisfaction. The listening panel are experienced hearing-aid users, so some of the rating would be about their normal hearing aid. ",(0,t.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/24484267/",children:"This paper"})," describes the GHABP and provides some normative data."]}),"\n",(0,t.jsx)(n.p,{children:"For each scenario, the participant is asked a primary question about if a situation happens to them (relatable). If they answer"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"No, it moves onto to the next scenario."}),"\n",(0,t.jsxs)(n.li,{children:["Yes, then a list of six secondary questions are asked (see figure below)","\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:'If one of the secondary questions is not relatable to the participant, they\'re asked to respond "N/A" for not applicable.'}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)("figure",{id:"fig2",children:[(0,t.jsx)("img",{width:"300",src:(0,a.Z)("/img/GHAPB.png")}),(0,t.jsx)("figcaption",{children:"Figure 2. The GHAPB questionnaire."})]}),"\n",(0,t.jsx)(n.p,{children:"There are four scenarios:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"listening to the television when the volume is adjusted for others."}),"\n",(0,t.jsx)(n.li,{children:"Having a conversation with one person in quiet."}),"\n",(0,t.jsx)(n.li,{children:"Having a conversation on a busy street or in a shop."}),"\n",(0,t.jsx)(n.li,{children:"Having a conversation with several people in a group."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"In the datafile, the question numbers are coded as x.y where x is the scenario number and y the secondary question number."}),"\n",(0,t.jsx)(n.p,{children:"If the answer to primary questions is No, then all the secondary questions are coded as 0."}),"\n",(0,t.jsx)(n.p,{children:"If the answer to primary questions is Yes, then each subsequent question is scored as\r\n0. = N/A"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:'= first option in the list (eg "no difficulty")'}),"\n",(0,t.jsx)(n.li,{children:"= second"}),"\n",(0,t.jsx)(n.li,{children:"= third"}),"\n",(0,t.jsx)(n.li,{children:"= fourth"}),"\n",(0,t.jsx)(n.li,{children:'= fifth (e.g. "cannot manage at all")'}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"There is no global score for the GHABP. The six secondary questions ask about different things and so should not be averaged across questions, though it is fairly common to average within-question across scenario."}),"\n",(0,t.jsx)(n.h4,{id:"dtt-digit-triplet-test-also-known-as-a-triple-digit-test",children:"DTT (digit-triplet test, also known as a triple digit test)"}),"\n",(0,t.jsx)(n.p,{children:"This is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet."}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/33840339/",children:"This paper"})," is a recent scoping review of the field. The particular version we used is ",(0,t.jsxs)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/25127323/",children:["Vlaming et al's ",(0,t.jsx)(n.em,{children:"high-frequency DTT"})]}),", which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials."]}),"\n",(0,t.jsx)(n.p,{children:"In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored."}),"\n",(0,t.jsx)(n.h2,{id:"d-data-file-formats-and-naming-conventions",children:"D Data file formats and naming conventions"}),"\n",(0,t.jsx)(n.h3,{id:"d1-abbreviations-in-filenames",children:"D.1 Abbreviations in Filenames"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"R"})," \u2013 \u201croom\u201d: e.g., \u201cR02678\u201d # Room ID linking to RAVEN rpf file"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"S"})," \u2013 \u201cscene\u201d: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signals"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"BNC"})," \u2013 BNC sentence identifier e.g. BNC_A06_01702"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH"})," \u2013","\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH0"})," \u2013 eardrum signal"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH1"})," \u2013 front signal, hearing aid channel"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH2"})," \u2013 middle signal, hearing aid channel"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH3"})," \u2013 rear signal, hearing aid channel"]}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"I"}),"/",(0,t.jsx)(n.code,{children:"i1"})," \u2013 Interferer, i.e., noise or sentence ID for the interferer/masker"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"T"})," \u2013 talker who produced the target speech sentences"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"L"})," \u2013 listener"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"E"})," \u2013 entrant (identifying a team participating in the challenge)"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"t"})," \u2013 target (used in BRIRs and RAVEN project \u2018rpf\u2019 files)"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d2-general",children:"D.2 General"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate."}),"\n",(0,t.jsx)(n.li,{children:"Where stereo signals are provided, the two channels represent the left and right signals of the ear or hearing aid microphones."}),"\n",(0,t.jsx)(n.li,{children:"HRIRs have a sampling rate of 48 kHz."}),"\n",(0,t.jsx)(n.li,{children:"Metadata will be stored in JSON format wherever possible."}),"\n",(0,t.jsx)(n.li,{children:"Room descriptions are stored as RAVEN project \u2018rpf\u2019 configuration files."}),"\n",(0,t.jsx)(n.li,{children:"Signals are saved within the Python code as 32-bit floating point by default."}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d3-prompt-and-transcription-data",children:"D.3 Prompt and transcription data"}),"\n",(0,t.jsx)(n.p,{children:"The following text is available for the target speech:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Prompts are the text that was supposed to be spoken as presented to the readers."}),"\n",(0,t.jsx)(n.li,{children:"\u2018Dot\u2019 transcriptions contain the text as it was spoken in a form more suitable for scoring tools."}),"\n",(0,t.jsx)(n.li,{children:"These are stored in the master json metadata file."}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d4-timing-in-audio-files",children:"D.4 Timing in audio files"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise."}),"\n",(0,t.jsx)(n.li,{children:"The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked."}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d5-source-audio-files",children:"D.5 Source audio files"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Wav files containing the original source materials."}),"\n",(0,t.jsx)(n.li,{children:"Could be used as the clean speech reference in an intrusive (double-ended) prediction model"}),"\n",(0,t.jsx)(n.li,{children:"Original target sentence recordings:"}),"\n"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{children:" _.wav\n"})}),"\n",(0,t.jsx)(n.h3,{id:"d6-preprocessed-scene-signals",children:"D.6 Preprocessed scene signals"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Audio files storing the signals picked up by the hearing aid microphone ready for processing."}),"\n",(0,t.jsx)(n.li,{children:"Target_anechoic could be used as the clean speech reference in an intrusive (double-ended) prediction model."}),"\n",(0,t.jsx)(n.li,{children:"Separate signals are generated for each hearing aid microphone pair or \u2018channel\u2019."}),"\n"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{children:"_target_.wav\r\n_interferer_.wav\r\n_mixed_.wav\r\n_target_anechoic.wav\n"})}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.code,{children:"Scene ID"})," \u2013 S00001 to S10000"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"S"})," followed by 5 digit integer with 0 pre-padding"]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.code,{children:"Channel ID"})}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH0"})," \u2013 Eardrum signal"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH1"})," \u2013 Hearing aid front microphone"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH2"})," \u2013 Hearing aid middle microphone"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"CH3"})," \u2013 Hearing aid rear microphone"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d7-enhanced-signals",children:"D.7 Enhanced signals"}),"\n",(0,t.jsx)(n.p,{children:"These are the audio signals that the listeners heard during the speech intelligibility testing. The signals that are output by a given enhancement (hearing aid) model or system."}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"___HA-output.wav"})," # HA output signal (i.e., as submitted by the challenge entrants)"]}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.code,{children:"Listener ID"})," \u2013 ID of the listener panel member, e.g., L200 to L244."]}),"\n","\n",(0,t.jsx)(n.h3,{id:"d8-scene-metadata",children:"D.8 Scene metadata"}),"\n",(0,t.jsxs)(n.p,{children:["A JSON file called ",(0,t.jsx)(n.code,{children:"scenes.CPC1_train.json"})," containing a description of each scene that is used in the listening experiments. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight."]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-json",metastring:'title="scenes.json"',children:'[\r\n {\r\n "scene": "S00001", \r\n "room": {\r\n "name": "R00001",\r\n "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres\r\n },\r\n "SNR": 3.8356,\r\n "hrirfilename": "VP_N5-ED", // HRIR filename\r\n "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z)\r\n "Positions": [ \r\n -0.5,\r\n 3.4,\r\n 1.2\r\n ],\r\n "ViewVectors": [\r\n 0.291,\r\n -0.957,\r\n 0\r\n ],\r\n "name": "T022_HCS_00002", // target speaker code and BNCid\r\n "nsamples": 153468, // length of target speech in samples\r\n },\r\n "listener": {\r\n "Positions": [\r\n 0.2,\r\n 1.1,\r\n 1.2\r\n ],\r\n "ViewVectors": [\r\n -0.414,\r\n 0.91,\r\n 0\r\n ]\r\n },\r\n "interferer": {\r\n "Positions": [\r\n 0.4,\r\n 3.2,\r\n 1.2\r\n ],\r\n "name": "CIN_dishwasher_012", // interferer name\r\n "nsamples": 1190700, // interferer length in samples\r\n "duration": 27, // interferer duration in seconds\r\n "type": "noise", // interferer type: noise or speech\r\n "offset": 182115, // interferer segment starts at n samples from beginning of recording\r\n },\r\n "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver\r\n "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver\r\n "dataset": "train", // dataset: train, dev or eval/test\r\n "pre_samples": 88200, // number of samples of interferer before target onset\r\n "post_samples": 44100 // number of samples of interferer after target offset\r\n },\r\n {\r\n // ... etc.\r\n }\r\n ]\n'})}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json."}),"\n",(0,t.jsx)(n.li,{children:"Note that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same."}),"\n",(0,t.jsx)(n.li,{children:"A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files."}),"\n",(0,t.jsxs)(n.li,{children:["The listener ID is not stored in the scene metadata; this information is stored separately in a ",(0,t.jsx)(n.code,{children:"scenes_listeners.json"})," file."]}),"\n",(0,t.jsxs)(n.li,{children:["Non-speech interferers are labelled ",(0,t.jsx)(n.code,{children:"CIN__XXX"}),", while speech interferers are labelled ",(0,t.jsx)(n.code,{children:"_XXXXX"})," ."]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"d9-listener-metadata",children:"D.9 Listener metadata"}),"\n",(0,t.jsxs)(n.p,{children:["Listener audiogram data stored in a single JSON file called ",(0,t.jsx)(n.code,{children:"listeners.CPC1_train.json"})," with the following format."]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{\r\n "L0001": {\r\n "name": "L0001",\r\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\r\n "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60],\r\n "audiogram_levels_r": [10, 15, 25, 40, 50, 65, 65, 70 ],\r\n },\r\n "L0002": {\r\n // ... etc.\r\n },\r\n// ... etc.\r\n}\n'})}),"\n",(0,t.jsxs)(n.p,{children:["A ",(0,t.jsx)("b",{children:"spreadsheet"})," named ",(0,t.jsx)(n.code,{children:"listener_data.CPC1_train.xlsx"})," containing the ",(0,t.jsx)(n.a,{href:"#c-listener-data",children:"SSQ12, GHAPB, DTT data"})," for each listener where it is available."]}),"\n",(0,t.jsx)(n.h3,{id:"d10-listener-intelligibility-data",children:"D.10 Listener intelligibility data"}),"\n",(0,t.jsxs)(n.p,{children:["JSON files ",(0,t.jsx)(n.code,{children:"CPC1.train.json"})," (for Track 1) and ",(0,t.jsx)(n.code,{children:"CPC1.train_indep.json"})," (for Track 2) which provides the responses made by the listeners when presented with a particular scene processed by a particular system. The data is a simple list of dictionaries with one entry for each listener response"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-json",metastring:'title="CPC1.tran.json"',children:'[\r\n {\r\n "scene":"S08510", // The identity of the scene\r\n "listener":"L0239", // The identity of the listener\r\n "system":"E001", // The identify of the HA system\r\n "prompt":"i suppose you wouldn\'t be free for dinner this evening", // The target sentence (prompt)\r\n "response":"freeze evening", // The listeners response (transcript)\r\n "n_words":10, // Number of words in the target sentence\r\n "hits":1, // Number of words recognised correctly\r\n "correctness":10.0, // The percentage of words recognised correctly\r\n "signal":"S08510_L0239_E001" // The name of the file containing the signal listened to.\r\n },\r\n {\r\n // ... etc.\r\n },\r\n // ... etc.\r\n]\n'})}),"\n",(0,t.jsx)(n.h2,{id:"e-reproduction-levels",children:"E. Reproduction Levels"}),"\n",(0,t.jsx)(n.p,{children:"The graph gives the SPL from one of our headsets based on the volume level of the tablet. The input signal was ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3."}),"\n",(0,t.jsxs)("figure",{id:"fig3",children:[(0,t.jsx)("img",{width:"500",src:(0,a.Z)("/img/volume_vs_dB.jpg")}),(0,t.jsx)("figcaption",{children:"Figure 3. Headset SPL by tablet volume level."})]}),"\n",(0,t.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,t.jsxs)(n.p,{children:["[1] ICRA standard noises, ",(0,t.jsx)(n.a,{href:"https://icra-audiology.org/Repository/icra-noise",children:"https://icra-audiology.org/Repository/icra-noise"}),". We used track #1."]})]})}function u(e={}){const{wrapper:n}={...(0,s.a)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(p,{...e})}):p(e)}},34673:(e,n,i)=>{i.d(n,{Z:()=>m});var t=i(67294),s=i(36905),a=i(788),r=i(28138),o=i(72389),l=i(86043);const d={details:"details_lb9f",isBrowser:"isBrowser_bmU9",collapsibleContent:"collapsibleContent_i85q"};var h=i(85893);function c(e){return!!e&&("SUMMARY"===e.tagName||c(e.parentElement))}function p(e,n){return!!e&&(e===n||p(e.parentElement,n))}function u(e){let{summary:n,children:i,...s}=e;(0,r.Z)().collectAnchor(s.id);const u=(0,o.Z)(),g=(0,t.useRef)(null),{collapsed:f,setCollapsed:m}=(0,l.u)({initialState:!s.open}),[x,j]=(0,t.useState)(s.open),v=t.isValidElement(n)?n:(0,h.jsx)("summary",{children:n??"Details"});return(0,h.jsxs)("details",{...s,ref:g,open:x,"data-collapsed":f,className:(0,a.Z)(d.details,u&&d.isBrowser,s.className),onMouseDown:e=>{c(e.target)&&e.detail>1&&e.preventDefault()},onClick:e=>{e.stopPropagation();const 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However, teams that do this must make a second submission using only the official audio files and signal generation tool.\nAny audio or metadata can be used during training and development, but during evaluation the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section)."}),"\n",(0,i.jsx)(n.h3,{id:"evaluation",children:"Evaluation"}),"\n",(0,i.jsx)(n.p,{children:"The only data that can be used by the Enhancement Processor during evaluation are"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"The audio input signals (the sum of the target and interferer for each hearing aid microphone), and"}),"\n",(0,i.jsx)(n.li,{children:"The listener characterisation (pure tone air-conduction audiograms)."}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"computational-restrictions",children:"Computational restrictions"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Teams may choose to use all or some of the provided baseline models."}),"\n",(0,i.jsx)(n.li,{children:"Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms)."}),"\n",(0,i.jsx)(n.li,{children:"There is no limit on computational cost."}),"\n"]}),"\n",(0,i.jsxs)(n.p,{children:["Please see ",(0,i.jsx)(n.a,{href:"http://claritychallenge.org/latency-computation-time-and-real-time-operation",children:"this blog post"})," for further explanation of these last two rules about latency and computation time."]}),"\n",(0,i.jsx)(n.h2,{id:"submitting-multiple-entries",children:"Submitting multiple entries"}),"\n",(0,i.jsx)(n.p,{children:"If you wish to submit two entries, where one is optimised for MBSTOI and the other, for listening tests,"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Both systems must be submitted for MBSTOI evaluation."}),"\n",(0,i.jsx)(n.li,{children:"You must register two teams, submitting each entry as a different team."}),"\n",(0,i.jsx)(n.li,{children:"In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries."}),"\n"]}),"\n",(0,i.jsx)(n.p,{children:"We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests."}),"\n",(0,i.jsx)(n.h2,{id:"evaluation-of-systems",children:"Evaluation of systems"}),"\n",(0,i.jsx)(n.h3,{id:"stage-1-objective-evaluation",children:"Stage 1: Objective evaluation"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Entries will be ranked according to average Modified Binaural Short-Time Objective Intelligibility (MBSTOI) score across all samples in the evaluation/test dataset (i.e., all signals submitted for the MBSTOI evaluation)."}),"\n"]}),"\n",(0,i.jsx)(n.h3,{id:"stage-2-listening-test-evaluation",children:"Stage 2: Listening test evaluation"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"There is a limit on how many systems can be evaluated by the listener panel."}),"\n",(0,i.jsx)(n.li,{children:"A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches."}),"\n",(0,i.jsxs)(n.li,{children:["We will choose which will go to the listener panel based on","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"The top N scored using the objective evaluation method."}),"\n",(0,i.jsx)(n.li,{children:"A sample of M others that use contrasting and promising approaches."}),"\n"]}),"\n"]}),"\n"]})]})}function u(e={}){const{wrapper:n}={...(0,s.a)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(d,{...e})}):d(e)}},11151:(e,n,t)=>{t.d(n,{Z:()=>l,a:()=>o});var i=t(67294);const s={},a=i.createContext(s);function o(e){const n=i.useContext(a);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:o(e.components),i.createElement(a.Provider,{value:n},e.children)}}}]); \ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[9016],{96968:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>r,contentTitle:()=>o,default:()=>u,frontMatter:()=>a,metadata:()=>l,toc:()=>c});var i=t(17624),s=t(4552);const a={id:"cec1_rules",title:"Rules",sidebar_label:"Rules",sidebar_position:7},o=void 0,l={id:"cec1/taking_part/cec1_rules",title:"Rules",description:"Teams",source:"@site/docs/cec1/taking_part/cec1_rules.mdx",sourceDirName:"cec1/taking_part",slug:"/cec1/taking_part/cec1_rules",permalink:"/docs/cec1/taking_part/cec1_rules",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:7,frontMatter:{id:"cec1_rules",title:"Rules",sidebar_label:"Rules",sidebar_position:7},sidebar:"tutorialSidebar_cec1",previous:{title:"Taking Part",permalink:"/docs/category/taking-part"},next:{title:"Listening Tests",permalink:"/docs/cec1/taking_part/cec1_listening_tests"}},r={},c=[{value:"Teams",id:"teams",level:2},{value:"Transparency",id:"transparency",level:2},{value:"Intellectual property",id:"intellectual-property",level:2},{value:"What information can I use?",id:"what-information-can-i-use",level:2},{value:"Training and development",id:"training-and-development",level:3},{value:"Evaluation",id:"evaluation",level:3},{value:"Computational restrictions",id:"computational-restrictions",level:2},{value:"Submitting multiple entries",id:"submitting-multiple-entries",level:2},{value:"Evaluation of systems",id:"evaluation-of-systems",level:2},{value:"Stage 1: Objective evaluation",id:"stage-1-objective-evaluation",level:3},{value:"Stage 2: Listening test evaluation",id:"stage-2-listening-test-evaluation",level:3}];function d(e){const n={a:"a",h2:"h2",h3:"h3",li:"li",p:"p",ul:"ul",...(0,s.M)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.h2,{id:"teams",children:"Teams"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Teams must have pre-registered and nominated a contact person."}),"\n",(0,i.jsx)(n.li,{children:"Teams can be from one or more institutions."}),"\n",(0,i.jsx)(n.li,{children:"The organisers may enter the challenge themselves but will not be eligible to win the cash prizes."}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"transparency",children:"Transparency"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used."}),"\n",(0,i.jsx)(n.li,{children:"We will publish all technical documents (anonymous or otherwise)."}),"\n",(0,i.jsx)(n.li,{children:"Teams are encouraged \u2013 but not required \u2013 to provide us with access to the system/model and to make their code open source."}),"\n",(0,i.jsx)(n.li,{children:"Anonymous entries are allowed but will not be eligible for cash prizes."}),"\n",(0,i.jsx)(n.li,{children:"All teams will be referred to using anonymous codenames in rank ordering."}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"intellectual-property",children:"Intellectual property"}),"\n",(0,i.jsx)(n.p,{children:"The following terms apply to participation in this machine learning challenge (\u201cChallenge\u201d). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a \u201cSubmission\u201d). The Challenge is organised by the Challenge Organiser."}),"\n",(0,i.jsx)(n.p,{children:"Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions."}),"\n",(0,i.jsx)(n.p,{children:"As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission."}),"\n",(0,i.jsx)(n.p,{children:"Entrants provide Submissions on an \u201cAS IS\u201d BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE."}),"\n",(0,i.jsx)(n.h2,{id:"what-information-can-i-use",children:"What information can I use?"}),"\n",(0,i.jsx)(n.h3,{id:"training-and-development",children:"Training and development"}),"\n",(0,i.jsx)(n.p,{children:"There is no limit on the amount of training data that can be generated using our tools.\nTeams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool.\nAny audio or metadata can be used during training and development, but during evaluation the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section)."}),"\n",(0,i.jsx)(n.h3,{id:"evaluation",children:"Evaluation"}),"\n",(0,i.jsx)(n.p,{children:"The only data that can be used by the Enhancement Processor during evaluation are"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"The audio input signals (the sum of the target and interferer for each hearing aid microphone), and"}),"\n",(0,i.jsx)(n.li,{children:"The listener characterisation (pure tone air-conduction audiograms)."}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"computational-restrictions",children:"Computational restrictions"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Teams may choose to use all or some of the provided baseline models."}),"\n",(0,i.jsx)(n.li,{children:"Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms)."}),"\n",(0,i.jsx)(n.li,{children:"There is no limit on computational cost."}),"\n"]}),"\n",(0,i.jsxs)(n.p,{children:["Please see ",(0,i.jsx)(n.a,{href:"http://claritychallenge.org/latency-computation-time-and-real-time-operation",children:"this blog post"})," for further explanation of these last two rules about latency and computation time."]}),"\n",(0,i.jsx)(n.h2,{id:"submitting-multiple-entries",children:"Submitting multiple entries"}),"\n",(0,i.jsx)(n.p,{children:"If you wish to submit two entries, where one is optimised for MBSTOI and the other, for listening tests,"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Both systems must be submitted for MBSTOI evaluation."}),"\n",(0,i.jsx)(n.li,{children:"You must register two teams, submitting each entry as a different team."}),"\n",(0,i.jsx)(n.li,{children:"In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries."}),"\n"]}),"\n",(0,i.jsx)(n.p,{children:"We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests."}),"\n",(0,i.jsx)(n.h2,{id:"evaluation-of-systems",children:"Evaluation of systems"}),"\n",(0,i.jsx)(n.h3,{id:"stage-1-objective-evaluation",children:"Stage 1: Objective evaluation"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Entries will be ranked according to average Modified Binaural Short-Time Objective Intelligibility (MBSTOI) score across all samples in the evaluation/test dataset (i.e., all signals submitted for the MBSTOI evaluation)."}),"\n"]}),"\n",(0,i.jsx)(n.h3,{id:"stage-2-listening-test-evaluation",children:"Stage 2: Listening test evaluation"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"There is a limit on how many systems can be evaluated by the listener panel."}),"\n",(0,i.jsx)(n.li,{children:"A maximum of two entries can go through to the listener panel from any individual entrant. 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Thank you to all the teams who sent us signals.",date:"2021-06-16T00:00:00.000Z",formattedDate:"June 16, 2021",tags:[{label:"clarity",permalink:"/blog/tags/clarity"},{label:"submission",permalink:"/blog/tags/submission"},{label:"CEC1",permalink:"/blog/tags/cec-1"}],readingTime:.79,hasTruncateMarker:!1,authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",imageURL:"https://avatars.githubusercontent.com/jonbarker68"}],frontMatter:{slug:"CEC1 submissions received",title:"CEC1 submissions received",author:"Jon Barker",author_title:"Clarity Team Member",author_url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",author_image_url:"https://avatars.githubusercontent.com/jonbarker68",tags:["clarity","submission","CEC1"]},unlisted:!1,prevItem:{title:"Welcome to CPC1",permalink:"/blog/welcome to CPC1"},nextItem:{title:"CEC1 eval data released",permalink:"/blog/CEC1 eval data released"}},l={authorsImageUrls:[void 0]},c=[];function u(e){const t={a:"a",p:"p",strong:"strong",...(0,n.M)(),...e.components};return(0,a.jsxs)(a.Fragment,{children:[(0,a.jsx)(t.p,{children:"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals."}),"\n",(0,a.jsxs)(t.p,{children:["Please remember to submit your finalised system descriptions by June 22nd to the Clarity workshop following the ",(0,a.jsx)(t.a,{href:"https://claritychallenge.github.io/clarity2021-workshop/submissions.html",children:"instructions provided on the workshop website"}),"."]}),"\n",(0,a.jsx)(t.p,{children:"We are currently busy evaluating the submissions using the MBSTOI metric. We will be contacting teams on the 22nd with details of how to prepare signals for the listening panel evaluation."}),"\n",(0,a.jsxs)(t.p,{children:[(0,a.jsx)(t.strong,{children:"If you have been working on the challenge but missed the submission deadline"})," then ",(0,a.jsx)(t.a,{href:"mailto:claritychallengecontact@gmail.com",children:"please do get in contact"}),". We will still be happy to receive your signals and system descriptions. Although late entries will not be eligible for the official challenge ranking, we will be happy to compute the eval set MBSTOI score for you and may even be able to arrange listening test evaluation through our panel."]}),"\n",(0,a.jsxs)(t.p,{children:["For any questions please contact us at ",(0,a.jsx)(t.a,{href:"mailto:claritychallengecontact@gmail.com",children:"claritychallengecontact@gmail.com "})," or by posting to the ",(0,a.jsx)(t.a,{href:"https://groups.google.com/g/clarity-challenge?pli=1",children:"Clarity challenge google group"}),"."]})]})}function h(e={}){const{wrapper:t}={...(0,n.M)(),...e.components};return t?(0,a.jsx)(t,{...e,children:(0,a.jsx)(u,{...e})}):u(e)}},4552:(e,t,s)=>{s.d(t,{I:()=>r,M:()=>i});var a=s(11504);const n={},o=a.createContext(n);function i(e){const t=a.useContext(o);return a.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function r(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(n):e.components||n:i(e.components),a.createElement(o.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/8520fb64.8d854a5a.js b/assets/js/8520fb64.8d854a5a.js deleted file mode 100644 index 497c91151..000000000 --- a/assets/js/8520fb64.8d854a5a.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[3194],{32813:(e,t,s)=>{s.r(t),s.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>h,frontMatter:()=>o,metadata:()=>r,toc:()=>c});var a=s(85893),n=s(11151);const o={slug:"CEC1 submissions received",title:"CEC1 submissions received",author:"Jon Barker",author_title:"Clarity Team Member",author_url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",author_image_url:"https://avatars.githubusercontent.com/jonbarker68",tags:["clarity","submission","CEC1"]},i=void 0,r={permalink:"/blog/CEC1 submissions received",source:"@site/blog/2021-06-16-submission-deadline.mdx",title:"CEC1 submissions received",description:"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals.",date:"2021-06-16T00:00:00.000Z",formattedDate:"June 16, 2021",tags:[{label:"clarity",permalink:"/blog/tags/clarity"},{label:"submission",permalink:"/blog/tags/submission"},{label:"CEC1",permalink:"/blog/tags/cec-1"}],readingTime:.79,hasTruncateMarker:!1,authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",imageURL:"https://avatars.githubusercontent.com/jonbarker68"}],frontMatter:{slug:"CEC1 submissions received",title:"CEC1 submissions received",author:"Jon Barker",author_title:"Clarity Team Member",author_url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",author_image_url:"https://avatars.githubusercontent.com/jonbarker68",tags:["clarity","submission","CEC1"]},unlisted:!1,prevItem:{title:"Welcome to CPC1",permalink:"/blog/welcome to CPC1"},nextItem:{title:"CEC1 eval data released",permalink:"/blog/CEC1 eval data released"}},l={authorsImageUrls:[void 0]},c=[];function u(e){const t={a:"a",p:"p",strong:"strong",...(0,n.a)(),...e.components};return(0,a.jsxs)(a.Fragment,{children:[(0,a.jsx)(t.p,{children:"The CEC1 submission deadline has now passed. 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n=N(e);void 0!==n&&(t?n.endTime>t.endTime&&(t=n):t=n)})),t)return t.endTime;{const t=new Date;return t.setHours(0,0,0,0),t}}let r=s(n,e.trim(),!0);if(r.isValid())return r.toDate();{c.l.debug("Invalid date:"+n),c.l.debug("With date format:"+e.trim());const t=new Date(n);if(void 0===t||isNaN(t.getTime())||t.getFullYear()<-1e4||t.getFullYear()>1e4)throw new Error("Invalid date:"+n);return t}},L=function(t){const e=/^(\d+(?:\.\d+)?)([Mdhmswy]|ms)$/.exec(t.trim());return null!==e?[Number.parseFloat(e[1]),e[2]]:[NaN,"ms"]},I=function(t,e,n,i=!1){n=n.trim();let r=s(n,e.trim(),!0);if(r.isValid())return i&&(r=r.add(1,"d")),r.toDate();let a=s(t);const[o,c]=L(n);if(!Number.isNaN(o)){const t=a.add(o,c);t.isValid()&&(a=t)}return a.toDate()};let O=0;const F=function(t){return void 0===t?(O+=1,"task"+O):t};let W,B,P=[];const z={},N=function(t){const e=z[t];return P[e]},H=function(){const t=function(t){const e=P[t];let n="";switch(P[t].raw.startTime.type){case"prevTaskEnd":{const 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n;n=":"===e.substr(0,1)?e.substr(1,e.length):e;const i=n.split(","),s={};V(i,s,_);for(let r=0;r{c.u.runFunc(e,...i)}))}(t,e,n)})),j(t,"clickable")},setLink:function(t,e){let n=e;"loose"!==(0,c.c)().securityLevel&&(n=(0,i.Nm)(e)),t.split(",").forEach((function(t){void 0!==N(t)&&(Z(t,(()=>{window.open(n,"_self")})),g[t]=n)})),j(t,"clickable")},getLinks:function(){return g},bindFunctions:function(t){w.forEach((function(e){e(t)}))},parseDuration:L,isInvalidDate:E,setWeekday:function(t){C=t},getWeekday:function(){return C}};function V(t,e,n){let i=!0;for(;i;)i=!1,n.forEach((function(n){const s=new RegExp("^\\s*"+n+"\\s*$");t[0].match(s)&&(e[n]=!0,t.shift(1),i=!0)}))}const q={monday:l.Ox9,tuesday:l.YDX,wednesday:l.EFj,thursday:l.Igq,friday:l.y2j,saturday:l.LqH,sunday:l.Zyz},R=(t,e)=>{let n=[...t].map((()=>-1/0)),i=[...t].sort(((t,e)=>t.startTime-e.startTime||t.order-e.order)),s=0;for(const r of i)for(let t=0;t=n[t]){n[t]=r.endTime,r.order=t+e,t>s&&(s=t);break}return s};let U;const 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n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],a=[],i=[null],s=[],r=this.table,l="",o=0,c=0,h=s.slice.call(arguments,1),d=Object.create(this.lexer),u={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(u.yy[p]=this.yy[p]);d.setInput(t,u.yy),u.yy.lexer=d,u.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var y=d.yylloc;s.push(y);var f=d.options&&d.options.ranges;"function"==typeof u.yy.parseError?this.parseError=u.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var b,g,x,_,m,E,A,S,C,k={};;){if(g=n[n.length-1],this.defaultActions[g]?x=this.defaultActions[g]:(null==b&&(C=void 0,"number"!=typeof(C=a.pop()||d.lex()||1)&&(C instanceof Array&&(C=(a=C).pop()),C=e.symbols_[C]||C),b=C),x=r[g]&&r[g][b]),void 0===x||!x.length||!x[0]){var O="";for(m in S=[],r[g])this.terminals_[m]&&m>2&&S.push("'"+this.terminals_[m]+"'");O=d.showPosition?"Parse error on line "+(o+1)+":\n"+d.showPosition()+"\nExpecting "+S.join(", 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_;E&&(n=n.slice(0,-1*E*2),i=i.slice(0,-1*E),s=s.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),i.push(k.$),s.push(k._$),A=r[n[n.length-2]][n[n.length-1]],n.push(A);break;case 3:return!0}}return!0}},it={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var a=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===a.length?this.yylloc.first_column:0)+a[a.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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this.begin("acc_descr"),26;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:case 73:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:case 16:case 70:break;case 14:c;break;case 15:return 12;case 17:return 11;case 18:return 15;case 19:return 16;case 20:return 17;case 21:return 18;case 22:return this.begin("person_ext"),45;case 23:return this.begin("person"),44;case 24:return this.begin("system_ext_queue"),51;case 25:return this.begin("system_ext_db"),50;case 26:return this.begin("system_ext"),49;case 27:return this.begin("system_queue"),48;case 28:return this.begin("system_db"),47;case 29:return this.begin("system"),46;case 30:return this.begin("boundary"),37;case 31:return this.begin("enterprise_boundary"),34;case 32:return this.begin("system_boundary"),36;case 33:return this.begin("container_ext_queue"),57;case 34:return this.begin("container_ext_db"),56;case 35:return this.begin("container_ext"),55;case 36:return this.begin("container_queue"),54;case 37:return this.begin("container_db"),53;case 38:return this.begin("container"),52;case 39:return this.begin("container_boundary"),38;case 40:return this.begin("component_ext_queue"),63;case 41:return this.begin("component_ext_db"),62;case 42:return this.begin("component_ext"),61;case 43:return this.begin("component_queue"),60;case 44:return this.begin("component_db"),59;case 45:return this.begin("component"),58;case 46:case 47:return this.begin("node"),39;case 48:return this.begin("node_l"),40;case 49:return this.begin("node_r"),41;case 50:return this.begin("rel"),64;case 51:return this.begin("birel"),65;case 52:case 53:return this.begin("rel_u"),66;case 54:case 55:return this.begin("rel_d"),67;case 56:case 57:return this.begin("rel_l"),68;case 58:case 59:return this.begin("rel_r"),69;case 60:return this.begin("rel_b"),70;case 61:return this.begin("rel_index"),71;case 62:return this.begin("update_el_style"),72;case 63:return this.begin("update_rel_style"),73;case 64:return this.begin("update_layout_config"),74;case 65:return"EOF_IN_STRUCT";case 66:return this.begin("attribute"),"ATTRIBUTE_EMPTY";case 67:this.begin("attribute");break;case 68:case 79:this.popState(),this.popState();break;case 69:case 71:return 80;case 72:this.begin("string");break;case 74:case 80:return"STR";case 75:this.begin("string_kv");break;case 76:return this.begin("string_kv_key"),"STR_KEY";case 77:this.popState(),this.begin("string_kv_value");break;case 78:return"STR_VALUE";case 81:return"LBRACE";case 82:return"RBRACE";case 83:return"SPACE";case 84:return"EOL";case 85:return 14}},rules:[/^(?:.*direction\s+TB[^\n]*)/,/^(?:.*direction\s+BT[^\n]*)/,/^(?:.*direction\s+RL[^\n]*)/,/^(?:.*direction\s+LR[^\n]*)/,/^(?:title\s[^#\n;]+)/,/^(?:accDescription\s[^#\n;]+)/,/^(?:accTitle\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*\{\s*)/,/^(?:[\}])/,/^(?:[^\}]*)/,/^(?:%%(?!\{)*[^\n]*(\r?\n?)+)/,/^(?:%%[^\n]*(\r?\n)*)/,/^(?:\s*(\r?\n)+)/,/^(?:\s+)/,/^(?:C4Context\b)/,/^(?:C4Container\b)/,/^(?:C4Component\b)/,/^(?:C4Dynamic\b)/,/^(?:C4Deployment\b)/,/^(?:Person_Ext\b)/,/^(?:Person\b)/,/^(?:SystemQueue_Ext\b)/,/^(?:SystemDb_Ext\b)/,/^(?:System_Ext\b)/,/^(?:SystemQueue\b)/,/^(?:SystemDb\b)/,/^(?:System\b)/,/^(?:Boundary\b)/,/^(?:Enterprise_Boundary\b)/,/^(?:System_Boundary\b)/,/^(?:ContainerQueue_Ext\b)/,/^(?:ContainerDb_Ext\b)/,/^(?:Container_Ext\b)/,/^(?:ContainerQueue\b)/,/^(?:ContainerDb\b)/,/^(?:Container\b)/,/^(?:Container_Boundary\b)/,/^(?:ComponentQueue_Ext\b)/,/^(?:ComponentDb_Ext\b)/,/^(?:Component_Ext\b)/,/^(?:ComponentQueue\b)/,/^(?:ComponentDb\b)/,/^(?:Component\b)/,/^(?:Deployment_Node\b)/,/^(?:Node\b)/,/^(?:Node_L\b)/,/^(?:Node_R\b)/,/^(?:Rel\b)/,/^(?:BiRel\b)/,/^(?:Rel_Up\b)/,/^(?:Rel_U\b)/,/^(?:Rel_Down\b)/,/^(?:Rel_D\b)/,/^(?:Rel_Left\b)/,/^(?:Rel_L\b)/,/^(?:Rel_Right\b)/,/^(?:Rel_R\b)/,/^(?:Rel_Back\b)/,/^(?:RelIndex\b)/,/^(?:UpdateElementStyle\b)/,/^(?:UpdateRelStyle\b)/,/^(?:UpdateLayoutConfig\b)/,/^(?:$)/,/^(?:[(][ 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st(){this.yy={}}return at.lexer=it,st.prototype=at,at.Parser=st,new st}());l.parser=l;const o=l;let h=[],d=[""],u="global",p="",y=[{alias:"global",label:{text:"global"},type:{text:"global"},tags:null,link:null,parentBoundary:""}],f=[],b="",g=!1,x=4,_=2;var m;const E=function(t){return null==t?h:h.filter((e=>e.parentBoundary===t))},A=function(){return g},S={addPersonOrSystem:function(t,e,n,a,i,s,r){if(null===e||null===n)return;let l={};const o=h.find((t=>t.alias===e));if(o&&e===o.alias?l=o:(l.alias=e,h.push(l)),l.label=null==n?{text:""}:{text:n},null==a)l.descr={text:""};else if("object"==typeof a){let[t,e]=Object.entries(a)[0];l[t]={text:e}}else l.descr={text:a};if("object"==typeof i){let[t,e]=Object.entries(i)[0];l[t]=e}else l.sprite=i;if("object"==typeof s){let[t,e]=Object.entries(s)[0];l[t]=e}else l.tags=s;if("object"==typeof r){let[t,e]=Object.entries(r)[0];l[t]=e}else l.link=r;l.typeC4Shape={text:t},l.parentBoundary=u,l.wrap=A()},addPersonOrSystemBoundary:function(t,e,n,a,i){if(null===t||null===e)return;let s={};const r=y.find((e=>e.alias===t));if(r&&t===r.alias?s=r:(s.alias=t,y.push(s)),s.label=null==e?{text:""}:{text:e},null==n)s.type={text:"system"};else if("object"==typeof n){let[t,e]=Object.entries(n)[0];s[t]={text:e}}else s.type={text:n};if("object"==typeof a){let[t,e]=Object.entries(a)[0];s[t]=e}else s.tags=a;if("object"==typeof i){let[t,e]=Object.entries(i)[0];s[t]=e}else s.link=i;s.parentBoundary=u,s.wrap=A(),p=u,u=t,d.push(p)},addContainer:function(t,e,n,a,i,s,r,l){if(null===e||null===n)return;let o={};const c=h.find((t=>t.alias===e));if(c&&e===c.alias?o=c:(o.alias=e,h.push(o)),o.label=null==n?{text:""}:{text:n},null==a)o.techn={text:""};else if("object"==typeof a){let[t,e]=Object.entries(a)[0];o[t]={text:e}}else o.techn={text:a};if(null==i)o.descr={text:""};else if("object"==typeof i){let[t,e]=Object.entries(i)[0];o[t]={text:e}}else o.descr={text:i};if("object"==typeof s){let[t,e]=Object.entries(s)[0];o[t]=e}else o.sprite=s;if("object"==typeof r){let[t,e]=Object.entries(r)[0];o[t]=e}else o.tags=r;if("object"==typeof l){let[t,e]=Object.entries(l)[0];o[t]=e}else o.link=l;o.wrap=A(),o.typeC4Shape={text:t},o.parentBoundary=u},addContainerBoundary:function(t,e,n,a,i){if(null===t||null===e)return;let s={};const r=y.find((e=>e.alias===t));if(r&&t===r.alias?s=r:(s.alias=t,y.push(s)),s.label=null==e?{text:""}:{text:e},null==n)s.type={text:"container"};else if("object"==typeof n){let[t,e]=Object.entries(n)[0];s[t]={text:e}}else s.type={text:n};if("object"==typeof a){let[t,e]=Object.entries(a)[0];s[t]=e}else s.tags=a;if("object"==typeof i){let[t,e]=Object.entries(i)[0];s[t]=e}else s.link=i;s.parentBoundary=u,s.wrap=A(),p=u,u=t,d.push(p)},addComponent:function(t,e,n,a,i,s,r,l){if(null===e||null===n)return;let o={};const 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These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended."}),"\n",(0,a.jsxs)(n.p,{children:["Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section ",(0,a.jsx)(n.a,{href:"#b3-evaluation-data",children:"B.3"}),")."]}),"\n",(0,a.jsx)(n.p,{children:"When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below)."}),"\n",(0,a.jsx)(n.h3,{id:"b3-evaluation-data",children:"B.3 Evaluation data"}),"\n",(0,a.jsx)(n.p,{children:"The following data will only be available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio: the sum of the target and interferers for each hearing aid microphone."}),"\n",(0,a.jsx)(n.li,{children:"The ID of the listener who will be auditioning the processed scene."}),"\n",(0,a.jsx)(n.li,{children:"The listener characterisation data for these listeners."}),"\n",(0,a.jsx)(n.li,{children:"ID of target talker and a few examples of clean audio that are not the same as the target utterance."}),"\n",(0,a.jsx)(n.li,{children:"The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)"}),"\n",(0,a.jsx)(n.li,{children:"Speaker adaptation sentence - 4 clean utterances for each target speaker."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture."}),"\n",(0,a.jsx)(n.li,{children:"The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking."}),"\n",(0,a.jsx)(n.h2,{id:"c-listener-data",children:"C Listener data"}),"\n",(0,a.jsx)(n.p,{children:"We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them."}),"\n",(0,a.jsx)(n.p,{children:"The same types of data are available for training, development and evaluation."}),"\n",(0,a.jsx)(n.p,{children:"A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English."}),"\n",(0,a.jsx)(n.p,{children:"The quantification of the listeners\u2019 hearing is done with:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound."}),"\n",(0,a.jsx)(n.li,{children:"Results from the DTT (digit-triplet test, also known as a triple digit test)\u200b"}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["The audiogram is the standard clinical measurement of hearing ability. It\u2019s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., ",(0,a.jsx)(n.a,{href:"https://www.thebsa.org.uk/resources/pure-tone-air-bone-conduction-threshold-audiometry-without-masking/",children:"British Society of Audiology Recommended Procedure"}),'. Typically it\u2019s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. ',(0,a.jsx)(n.a,{href:"https://www.psychol.cam.ac.uk/hearing/cam2-cameq2-hf-hearing-aid-fitting-software",children:"CAMFIT"}),", ",(0,a.jsx)(n.a,{href:"https://hearworks.com.au/technology/nal-nl2/",children:"NAL-NL2"})," or ",(0,a.jsx)(n.a,{href:"https://www.dslio.com/?page_id=95",children:"DSL"})," ","."]}),"\n",(0,a.jsxs)(n.p,{children:["Note that the scale of an audiogram is in \u201cdB HL\u201d = \u201cdB Hearing Level\u201d. This is not dB SPL; instead, it\u2019s relative to an international standard such that 0-dB is \u201cnormal hearing\u201d at every frequency. For background see ",(0,a.jsx)(n.a,{href:"https://hearingreview.com/hearing-loss/patient-care/evaluation/why-the-audiogram-is-upside-down",children:"Why the Audiogram Is Upside-down | The Hearing Review"})," and ",(0,a.jsx)(n.a,{href:"https://hearingreview.com/resource-center/expert-insight/quest-audiometric-zero",children:"The Quest for Audiometric Zero | The Hearing Review"})]}),"\n",(0,a.jsx)(n.p,{children:"The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet."}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/33840339/",children:"This paper"})," is a recent scoping review of the field. The particular version we used is ",(0,a.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/25127323/",children:"Vlaming et al.'s high-frequency DTT"}),", which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials."]}),"\n",(0,a.jsx)(n.p,{children:"In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored."}),"\n",(0,a.jsx)(n.h2,{id:"d-data-file-formats-and-naming-conventions",children:"D Data file formats and naming conventions"}),"\n",(0,a.jsx)(n.h3,{id:"d1-abbreviations-used-in-filenames",children:"D.1 Abbreviations used in filenames"}),"\n",(0,a.jsx)(n.p,{children:"The following abbreviations are used consistently throughout the filenames and references in the metadata."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"R"})," \u2013 \u201croom\u201d: e.g., \u201cR02678\u201d # Room ID linking to RAVEN rpf file"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"S"})," \u2013 \u201cscene\u201d: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signals"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"BNC"})," \u2013 BNC sentence identifier e.g. ",(0,a.jsx)(n.code,{children:"BNC_A06_01702"})]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH"})," \u2013","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH0"})," \u2013 eardrum signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH1"})," \u2013 front signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH2"})," \u2013 middle signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH3"})," \u2013 rear signal, hearing aid channel"]}),"\n"]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"I"}),"/",(0,a.jsx)(n.code,{children:"i1"})," \u2013 Interferer, i.e., noise or sentence ID for the interferer/masker"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"T"})," \u2013 talker who produced the target speech sentences"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"L"})," \u2013 listener"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"E"})," \u2013 entrant (identifying a team participating in the challenge)"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"t"})," \u2013 target (used in BRIRs and RAVEN project \u2018rpf\u2019 files)"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d2-general",children:"D.2 General"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate."}),"\n",(0,a.jsx)(n.li,{children:"Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones."}),"\n",(0,a.jsx)(n.li,{children:"0 dB FS in the audio signals corresponds to 100 dB SPL."}),"\n",(0,a.jsxs)(n.li,{children:["Metadata will be stored in JSON or csv format as appropriate with the exception of","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Room descriptions are stored as RAVEN project \u2018rpf\u2019 configuration files and \u2018ac\u2019 files. (However, key details are reflected in the scene.json files)"}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"Signals are saved within the Python code as 32-bit floating point by default."}),"\n",(0,a.jsx)(n.li,{children:"Output signals for the listening tests will be required to be in 16-bit format."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d3-prompt-and-transcription-data",children:"D.3 Prompt and transcription data"}),"\n",(0,a.jsx)(n.p,{children:"The following text is available for the target speech:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Prompts are the text that was given to the talkers to say."}),"\n",(0,a.jsx)(n.li,{children:"\u2018Dot\u2019 transcriptions contain the text as it was spoken in a form more suitable for scoring tools."}),"\n",(0,a.jsx)(n.li,{children:"These are stored in the master json metadata file."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d4-source-audio-files",children:"D.4 Source audio files"}),"\n",(0,a.jsx)(n.p,{children:"Wav files containing the original source materials.\nOriginal target sentence recordings:"}),"\n",(0,a.jsx)(n.p,{children:(0,a.jsx)(n.code,{children:"_.wav"})}),"\n",(0,a.jsx)(n.h3,{id:"d5-preprocessed-scene-signals",children:"D.5 Preprocessed scene signals"}),"\n",(0,a.jsx)(n.p,{children:"Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or \u2018channel\u2019."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"_target_.wav"})}),"\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"_interferer_.wav"})}),"\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"_mixed_.wav"})}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"_target_anechoic.wav"})," - at hearing device front microphone"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"_hr.wav"})," - head rotation signal"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Scene ID \u2013 S00001 to S10000"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"S followed by 5 digit integer with 0 pre-padding"}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Channel ID"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"CH0 \u2013 Eardrum signal"}),"\n",(0,a.jsx)(n.li,{children:"CH1 \u2013 Hearing aid front microphone"}),"\n",(0,a.jsx)(n.li,{children:"CH2 \u2013 Hearing aid middle microphone"}),"\n",(0,a.jsx)(n.li,{children:"CH3 \u2013 Hearing aid rear microphone"}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["The ",(0,a.jsx)(n.strong,{children:"anechoic signal"})," is the signal that will be used as the referernce in the HASPI evaluation."]}),"\n",(0,a.jsxs)(n.p,{children:["The ",(0,a.jsx)(n.strong,{children:"head rotation"})," signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured."]}),"\n",(0,a.jsx)(n.h3,{id:"d6-enhanced-signals",children:"D.6 Enhanced signals"}),"\n",(0,a.jsx)(n.p,{children:"The signals that are output by the baseline enhancement (hearing aid) model."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"__HA-output.wav"})," #HA output signal (i.e., as submitted by the challenge entrants)"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Listener ID \u2013 ID of the listener panel member, e.g., L001 to L100 for initial \u2018pseudo-listeners\u2019, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel."}),"\n",(0,a.jsx)(n.h3,{id:"d7-room-metadata",children:"D.7 Room metadata"}),"\n",(0,a.jsx)(n.p,{children:"JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="rooms.json"',children:'[\n {\n "name": "R00001", // ID of room linking to RAVEN rpf and ac files\n "dimensions": "6.9933x3x3", // Room dimensions in metres\n "target": { // # target positions (x,y,z) and view vectors (look directions, x,y,z)\n "position": [-0.3, 2.4, 1.2],\n "view_vector": [0.071, 0.997, 0.0],\n },\n "listener": {\n "position": [-0.1, 5.2, 1.2],\n "view_vector": [0.071, 0.997, 0.0],\n },\n "interferers": [\n {\n "position": [0.4, 4.0, 1.2],\n },\n { // # etc, up to three interferers\n }\n ],\n },\n ...\n]\n'})}),"\n",(0,a.jsx)(n.h3,{id:"d8-scene-metadata",children:"D.8 Scene metadata"}),"\n",(0,a.jsxs)(n.p,{children:["JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section ",(0,a.jsx)(n.a,{href:"#d7-room-metadata",children:"D.7"}),") plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings."]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes.json"',children:'[\n {\n "scene": "S00001", // the unique scene ID\n "room":: "R00001", // ID of room linking to rooms.json\n "target": { \n "name": "T005_JYD_04274", // target speaker code and BNCid\n "time_start": 107210, // start time of target in samples\n "time_end": 217019 // end time of target in samples\n },\n "listener": {\n "rotation": [ // Defines the head motion - list of time, direction pairs\n {\n "sample": 88200,\n "angle": 30 // Azimuth angle in degrees\n },\n {\n "sample": 176400,\n "angle\u201d: 50 \n }\n ],\n "hrir_filename": ["VP_N4-ED",\n "VP_N4-BTE_fr",\n "VP_N4-BTE_mid",\n "VP_N4-BTE_rear"] // HRIR filename for each channel to generate\n },\n "interferers": [\n {\n "position": 1, // Index of interferer position (See rooms.json)\n "time_start": 0, // time of interferer onset in samples\n "time_end": 261119, // time of interferer offset in samples\n "name": "track_1353255", // interferer name\n "type": "music", // interferer type: speech, noise or music\n "offset": 4076256 // index into interferer file at which to extract sample\n },\n { // etc, up to three interferers\n }\n ],\n "dataset": "train", // the dataset to which the scene belongs: train, dev or eval\n "duration": 261119, // total duration of scene in samples\n "SNR": 6.89 // targe SNR for the scene\n },\n ...\n]\n'})}),"\n",(0,a.jsx)(n.p,{children:"There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room."}),"\n",(0,a.jsxs)(n.p,{children:["The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section ",(0,a.jsx)(n.a,{href:"#d9-listener-metadata",children:"D.9"}),")."]}),"\n",(0,a.jsx)(n.p,{children:"Noise interferers are labelled with a type \u201cmusic\u201d, \u201cnoise\u201d or \u201cspeech\u201d and then have a unique name identifying the file."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"speech"}),": ",(0,a.jsx)(n.code,{children:"_"})," where ",(0,a.jsx)(n.code,{children:"ACCENT_CODE"})," is a three letter code identify the accent region and gender of the speaker and ",(0,a.jsx)(n.code,{children:"SPEAKER_ID"}),' is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK ',(0,a.jsx)(n.strong,{children:"mi"}),"dlands accented ",(0,a.jsx)(n.strong,{children:"f"}),"emale, speaker 02484. The speech comes from Demirshan et al. [",(0,a.jsx)(n.a,{href:"#references",children:"1"}),"] which provides more details."]}),"\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"noise"}),": ",(0,a.jsx)(n.code,{children:"CIN__"})," where ",(0,a.jsx)(n.code,{children:"NOISE_TYPE"})," is one of ",(0,a.jsx)(n.code,{children:"dishwasher"}),", ",(0,a.jsx)(n.code,{children:"fan"}),", ",(0,a.jsx)(n.code,{children:"hairdryer"}),", ",(0,a.jsx)(n.code,{children:"kettle"}),", ",(0,a.jsx)(n.code,{children:"microwave"}),", ",(0,a.jsx)(n.code,{children:"vacuum"})," (vacuum cleaner) or ",(0,a.jsx)(n.code,{children:"washing"})," (washing machine) and ",(0,a.jsx)(n.code,{children:"NOISE_ID"})," is a unique 3-digit code for the sample."]}),"\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"music"}),": ",(0,a.jsx)(n.code,{children:"track_"})," where ",(0,a.jsx)(n.code,{children:"TRACK_ID"})," is unique 7-digit track identifier taken from the MTG Jamendo database. [",(0,a.jsx)(n.a,{href:"#references",children:"2"}),"]"]}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["Given the type and name, further interferer metadata can be found in the files ",(0,a.jsx)(n.code,{children:"masker_speech_list.json"}),", ",(0,a.jsx)(n.code,{children:"masker_noise_list.json"})," and ",(0,a.jsx)(n.code,{children:"masker_music_list.json"})," which are distributed with the challenge."]}),"\n",(0,a.jsx)(n.h3,{id:"d9-listener-metadata",children:"D.9 Listener metadata"}),"\n",(0,a.jsx)(n.p,{children:"Audiogram data is stored in a single JSON file with the following format."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{\n "L0001": {\n "name": "L0001",\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\n "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60],\n "audiogram_levels_r": [ \u2026 ],\n },\n "L0002": {\n ...\n },\n ...\n}\n'})}),"\n",(0,a.jsx)(n.p,{children:"Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS"}),"\n",(0,a.jsx)(n.h3,{id:"d10-scene-listener-map",children:"D.10 Scene-Listener map"}),"\n",(0,a.jsx)(n.p,{children:"JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes_listeners.json"',children:'{\n "S00001": ["L0001", "L0002", "L0003"],\n "S00002": ["L0003", "L0005", "L0007"],\n ... \n}\n'})}),"\n",(0,a.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsxs)(n.li,{children:['Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, ',(0,a.jsx)(n.a,{href:"https://openslr.org/83/",children:"Avialable Online"})]}),"\n",(0,a.jsxs)(n.li,{children:['Bogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", ',(0,a.jsx)(n.a,{href:"https://mtg.github.io/mtg-jamendo-dataset/",children:"Available Online"})]}),"\n"]})]})}function m(e={}){const{wrapper:n}={...(0,t.M)(),...e.components};return n?(0,a.jsx)(n,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}},4552:(e,n,i)=>{i.d(n,{I:()=>o,M:()=>r});var a=i(11504);const t={},s=a.createContext(t);function r(e){const n=a.useContext(s);return a.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:r(e.components),a.createElement(s.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/899ac29d.b635e4d2.js b/assets/js/899ac29d.b635e4d2.js deleted file mode 100644 index 65a3075b2..000000000 --- a/assets/js/899ac29d.b635e4d2.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6026],{55846:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>d,contentTitle:()=>o,default:()=>m,frontMatter:()=>r,metadata:()=>l,toc:()=>h});var a=i(85893),t=i(11151),s=i(44996);const r={id:"cec2_data",title:"CEC2 Data",sidebar_label:"Data Specification",sidebar_position:6},o=void 0,l={id:"cec2/data/cec2_data",title:"CEC2 Data",description:"To obtain the data and baseline code, please see the download page.",source:"@site/docs/cec2/data/cec2_data.mdx",sourceDirName:"cec2/data",slug:"/cec2/data/cec2_data",permalink:"/docs/cec2/data/cec2_data",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:6,frontMatter:{id:"cec2_data",title:"CEC2 Data",sidebar_label:"Data Specification",sidebar_position:6},sidebar:"tutorialSidebar_cec2",previous:{title:"Scene Generation",permalink:"/docs/cec2/data/cec2_scene_generation"},next:{title:"Software",permalink:"/docs/category/software-1"}},d={},h=[{value:"A. Training, development, evaluation data",id:"a-training-development-evaluation-data",level:2},{value:"B. The scene dataset",id:"b-the-scene-dataset",level:2},{value:"B.1 Training data",id:"b1-training-data",level:3},{value:"B.2 Development data",id:"b2-development-data",level:3},{value:"B.3 Evaluation data",id:"b3-evaluation-data",level:3},{value:"C Listener data",id:"c-listener-data",level:2},{value:"D Data file formats and naming conventions",id:"d-data-file-formats-and-naming-conventions",level:2},{value:"D.1 Abbreviations used in filenames",id:"d1-abbreviations-used-in-filenames",level:3},{value:"D.2 General",id:"d2-general",level:3},{value:"D.3 Prompt and transcription data",id:"d3-prompt-and-transcription-data",level:3},{value:"D.4 Source audio files",id:"d4-source-audio-files",level:3},{value:"D.5 Preprocessed scene signals",id:"d5-preprocessed-scene-signals",level:3},{value:"D.6 Enhanced signals",id:"d6-enhanced-signals",level:3},{value:"D.7 Room metadata",id:"d7-room-metadata",level:3},{value:"D.8 Scene metadata",id:"d8-scene-metadata",level:3},{value:"D.9 Listener metadata",id:"d9-listener-metadata",level:3},{value:"D.10 Scene-Listener map",id:"d10-scene-listener-map",level:3},{value:"References",id:"references",level:2}];function c(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,t.a)(),...e.components};return(0,a.jsxs)(a.Fragment,{children:[(0,a.jsx)(n.p,{children:"To obtain the data and baseline code, please see the download page."}),"\n",(0,a.jsx)(n.h2,{id:"a-training-development-evaluation-data",children:"A. Training, development, evaluation data"}),"\n",(0,a.jsx)(n.p,{children:"The dataset of 10,000 scenes is split into three:"}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsx)(n.li,{children:"Training (train)."}),"\n",(0,a.jsx)(n.li,{children:"Development (dev)."}),"\n",(0,a.jsx)(n.li,{children:"Evaluation (eval)."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Uses of the data:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"You should not use the development or evaluation data set for training."}),"\n",(0,a.jsx)(n.li,{children:"The system submitted should be chosen on the evidence provided by the development set."}),"\n",(0,a.jsx)(n.li,{children:"The final listening and ranking will be performed with the (held-out) evaluation set."}),"\n",(0,a.jsxs)(n.li,{children:["For more information on augmenting and supplementing the training data, please see the ",(0,a.jsx)(n.a,{href:"../taking_part/cec2_rules",children:"rules"}),"."]}),"\n",(0,a.jsx)(n.li,{children:"The evaluation dataset will be made available one month before the challenge submission deadline."}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"b-the-scene-dataset",children:"B. The scene dataset"}),"\n",(0,a.jsx)(n.p,{children:"The complete dataset is composed split into the following sets:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Training (6000 scenes, 24 speakers);"}),"\n",(0,a.jsx)(n.li,{children:"Development (2500 scenes, 10 speakers);"}),"\n",(0,a.jsx)(n.li,{children:"Evaluation (1500 scenes, 6 speakers)."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers. The training, development and evaluation sets are disjoint with respect to the target speakers. The three sets are balanced for the gender of the target talker."}),"\n",(0,a.jsxs)(n.p,{children:["High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on ",(0,a.jsx)(n.a,{href:"cec2_scene_generation",children:"scene generation"})," for more details."]}),"\n",(0,a.jsx)(n.p,{children:"Time-domain acoustic signals are generated for:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see ",(0,a.jsx)(n.a,{href:"#fig1",children:"Figure 1"}),". The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered."]}),"\n",(0,a.jsx)(n.li,{children:"Close to the eardrum."}),"\n",(0,a.jsx)(n.li,{children:"The anechoic target reference (front microphone)."}),"\n"]}),"\n",(0,a.jsxs)("figure",{id:"fig1",children:[(0,a.jsx)("img",{width:"300",src:(0,s.Z)("/img/CEC2/bte_device.png")}),(0,a.jsx)("figcaption",{children:"Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form."})]}),"\n",(0,a.jsxs)(n.p,{children:["Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the ",(0,a.jsx)(n.a,{href:"https://uol.de/mediphysik/downloads/hearingdevicehrtfs",children:"OlHeadHRTF database"})," with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ",(0,a.jsx)(n.code,{children:"ED"}),") are for a position close to the eardrum of the open ear."]}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.code,{children:"rpf"})," files and ",(0,a.jsx)(n.code,{children:"ac"})," files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials."]}),"\n",(0,a.jsx)(n.h3,{id:"b1-training-data",children:"B.1 Training data"}),"\n",(0,a.jsx)(n.p,{children:"For each scene in the training data the following signals and metadata are available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears)."}),"\n",(0,a.jsx)(n.li,{children:"The mono target and interferer signals (pre-convolution)."}),"\n",(0,a.jsxs)(n.li,{children:["For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0):","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target convolved with the appropriate HOA-IRs and downmixed;"}),"\n",(0,a.jsx)(n.li,{children:"The interferers convolved with the appropriate HOA-IRs and downmixed;"}),"\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid)"}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (\u2018target_anechoic\u2019). For use as a reference when computing HASPI scores."}),"\n",(0,a.jsx)(n.li,{children:"Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files."}),"\n",(0,a.jsx)(n.li,{children:"A signal describing the head rotation (i.e. azimuthal angle at each sample)"}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"b2-development-data",children:"B.2 Development data"}),"\n",(0,a.jsx)(n.p,{children:"This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set)"}),"\n",(0,a.jsx)(n.p,{children:"Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended."}),"\n",(0,a.jsxs)(n.p,{children:["Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section ",(0,a.jsx)(n.a,{href:"#b3-evaluation-data",children:"B.3"}),")."]}),"\n",(0,a.jsx)(n.p,{children:"When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below)."}),"\n",(0,a.jsx)(n.h3,{id:"b3-evaluation-data",children:"B.3 Evaluation data"}),"\n",(0,a.jsx)(n.p,{children:"The following data will only be available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio: the sum of the target and interferers for each hearing aid microphone."}),"\n",(0,a.jsx)(n.li,{children:"The ID of the listener who will be auditioning the processed scene."}),"\n",(0,a.jsx)(n.li,{children:"The listener characterisation data for these listeners."}),"\n",(0,a.jsx)(n.li,{children:"ID of target talker and a few examples of clean audio that are not the same as the target utterance."}),"\n",(0,a.jsx)(n.li,{children:"The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)"}),"\n",(0,a.jsx)(n.li,{children:"Speaker adaptation sentence - 4 clean utterances for each target speaker."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture."}),"\n",(0,a.jsx)(n.li,{children:"The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking."}),"\n",(0,a.jsx)(n.h2,{id:"c-listener-data",children:"C Listener data"}),"\n",(0,a.jsx)(n.p,{children:"We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them."}),"\n",(0,a.jsx)(n.p,{children:"The same types of data are available for training, development and evaluation."}),"\n",(0,a.jsx)(n.p,{children:"A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English."}),"\n",(0,a.jsx)(n.p,{children:"The quantification of the listeners\u2019 hearing is done with:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound."}),"\n",(0,a.jsx)(n.li,{children:"Results from the DTT (digit-triplet test, also known as a triple digit test)\u200b"}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["The audiogram is the standard clinical measurement of hearing ability. It\u2019s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., ",(0,a.jsx)(n.a,{href:"https://www.thebsa.org.uk/resources/pure-tone-air-bone-conduction-threshold-audiometry-without-masking/",children:"British Society of Audiology Recommended Procedure"}),'. Typically it\u2019s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. ',(0,a.jsx)(n.a,{href:"https://www.psychol.cam.ac.uk/hearing/cam2-cameq2-hf-hearing-aid-fitting-software",children:"CAMFIT"}),", ",(0,a.jsx)(n.a,{href:"https://hearworks.com.au/technology/nal-nl2/",children:"NAL-NL2"})," or ",(0,a.jsx)(n.a,{href:"https://www.dslio.com/?page_id=95",children:"DSL"})," ","."]}),"\n",(0,a.jsxs)(n.p,{children:["Note that the scale of an audiogram is in \u201cdB HL\u201d = \u201cdB Hearing Level\u201d. This is not dB SPL; instead, it\u2019s relative to an international standard such that 0-dB is \u201cnormal hearing\u201d at every frequency. For background see ",(0,a.jsx)(n.a,{href:"https://hearingreview.com/hearing-loss/patient-care/evaluation/why-the-audiogram-is-upside-down",children:"Why the Audiogram Is Upside-down | The Hearing Review"})," and ",(0,a.jsx)(n.a,{href:"https://hearingreview.com/resource-center/expert-insight/quest-audiometric-zero",children:"The Quest for Audiometric Zero | The Hearing Review"})]}),"\n",(0,a.jsx)(n.p,{children:"The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet."}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/33840339/",children:"This paper"})," is a recent scoping review of the field. The particular version we used is ",(0,a.jsx)(n.a,{href:"https://pubmed.ncbi.nlm.nih.gov/25127323/",children:"Vlaming et al.'s high-frequency DTT"}),", which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials."]}),"\n",(0,a.jsx)(n.p,{children:"In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored."}),"\n",(0,a.jsx)(n.h2,{id:"d-data-file-formats-and-naming-conventions",children:"D Data file formats and naming conventions"}),"\n",(0,a.jsx)(n.h3,{id:"d1-abbreviations-used-in-filenames",children:"D.1 Abbreviations used in filenames"}),"\n",(0,a.jsx)(n.p,{children:"The following abbreviations are used consistently throughout the filenames and references in the metadata."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"R"})," \u2013 \u201croom\u201d: e.g., \u201cR02678\u201d # Room ID linking to RAVEN rpf file"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"S"})," \u2013 \u201cscene\u201d: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signals"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"BNC"})," \u2013 BNC sentence identifier e.g. ",(0,a.jsx)(n.code,{children:"BNC_A06_01702"})]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH"})," \u2013","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH0"})," \u2013 eardrum signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH1"})," \u2013 front signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH2"})," \u2013 middle signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH3"})," \u2013 rear signal, hearing aid channel"]}),"\n"]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"I"}),"/",(0,a.jsx)(n.code,{children:"i1"})," \u2013 Interferer, i.e., noise or sentence ID for the interferer/masker"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"T"})," \u2013 talker who produced the target speech sentences"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"L"})," \u2013 listener"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"E"})," \u2013 entrant (identifying a team participating in the challenge)"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"t"})," \u2013 target (used in BRIRs and RAVEN project \u2018rpf\u2019 files)"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d2-general",children:"D.2 General"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate."}),"\n",(0,a.jsx)(n.li,{children:"Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones."}),"\n",(0,a.jsx)(n.li,{children:"0 dB FS in the audio signals corresponds to 100 dB SPL."}),"\n",(0,a.jsxs)(n.li,{children:["Metadata will be stored in JSON or csv format as appropriate with the exception of","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Room descriptions are stored as RAVEN project \u2018rpf\u2019 configuration files and \u2018ac\u2019 files. (However, key details are reflected in the scene.json files)"}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"Signals are saved within the Python code as 32-bit floating point by default."}),"\n",(0,a.jsx)(n.li,{children:"Output signals for the listening tests will be required to be in 16-bit format."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d3-prompt-and-transcription-data",children:"D.3 Prompt and transcription data"}),"\n",(0,a.jsx)(n.p,{children:"The following text is available for the target speech:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Prompts are the text that was given to the talkers to say."}),"\n",(0,a.jsx)(n.li,{children:"\u2018Dot\u2019 transcriptions contain the text as it was spoken in a form more suitable for scoring tools."}),"\n",(0,a.jsx)(n.li,{children:"These are stored in the master json metadata file."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d4-source-audio-files",children:"D.4 Source audio files"}),"\n",(0,a.jsx)(n.p,{children:"Wav files containing the original source materials.\nOriginal target sentence recordings:"}),"\n",(0,a.jsx)(n.p,{children:(0,a.jsx)(n.code,{children:"_.wav"})}),"\n",(0,a.jsx)(n.h3,{id:"d5-preprocessed-scene-signals",children:"D.5 Preprocessed scene signals"}),"\n",(0,a.jsx)(n.p,{children:"Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or \u2018channel\u2019."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"_target_.wav"})}),"\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"_interferer_.wav"})}),"\n",(0,a.jsx)(n.li,{children:(0,a.jsx)(n.code,{children:"_mixed_.wav"})}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"_target_anechoic.wav"})," - at hearing device front microphone"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"_hr.wav"})," - head rotation signal"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Scene ID \u2013 S00001 to S10000"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"S followed by 5 digit integer with 0 pre-padding"}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Channel ID"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"CH0 \u2013 Eardrum signal"}),"\n",(0,a.jsx)(n.li,{children:"CH1 \u2013 Hearing aid front microphone"}),"\n",(0,a.jsx)(n.li,{children:"CH2 \u2013 Hearing aid middle microphone"}),"\n",(0,a.jsx)(n.li,{children:"CH3 \u2013 Hearing aid rear microphone"}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["The ",(0,a.jsx)(n.strong,{children:"anechoic signal"})," is the signal that will be used as the referernce in the HASPI evaluation."]}),"\n",(0,a.jsxs)(n.p,{children:["The ",(0,a.jsx)(n.strong,{children:"head rotation"})," signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured."]}),"\n",(0,a.jsx)(n.h3,{id:"d6-enhanced-signals",children:"D.6 Enhanced signals"}),"\n",(0,a.jsx)(n.p,{children:"The signals that are output by the baseline enhancement (hearing aid) model."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"__HA-output.wav"})," #HA output signal (i.e., as submitted by the challenge entrants)"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Listener ID \u2013 ID of the listener panel member, e.g., L001 to L100 for initial \u2018pseudo-listeners\u2019, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel."}),"\n",(0,a.jsx)(n.h3,{id:"d7-room-metadata",children:"D.7 Room metadata"}),"\n",(0,a.jsx)(n.p,{children:"JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="rooms.json"',children:'[\n {\n "name": "R00001", // ID of room linking to RAVEN rpf and ac files\n "dimensions": "6.9933x3x3", // Room dimensions in metres\n "target": { // # target positions (x,y,z) and view vectors (look directions, x,y,z)\n "position": [-0.3, 2.4, 1.2],\n "view_vector": [0.071, 0.997, 0.0],\n },\n "listener": {\n "position": [-0.1, 5.2, 1.2],\n "view_vector": [0.071, 0.997, 0.0],\n },\n "interferers": [\n {\n "position": [0.4, 4.0, 1.2],\n },\n { // # etc, up to three interferers\n }\n ],\n },\n ...\n]\n'})}),"\n",(0,a.jsx)(n.h3,{id:"d8-scene-metadata",children:"D.8 Scene metadata"}),"\n",(0,a.jsxs)(n.p,{children:["JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section ",(0,a.jsx)(n.a,{href:"#d7-room-metadata",children:"D.7"}),") plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings."]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes.json"',children:'[\n {\n "scene": "S00001", // the unique scene ID\n "room":: "R00001", // ID of room linking to rooms.json\n "target": { \n "name": "T005_JYD_04274", // target speaker code and BNCid\n "time_start": 107210, // start time of target in samples\n "time_end": 217019 // end time of target in samples\n },\n "listener": {\n "rotation": [ // Defines the head motion - list of time, direction pairs\n {\n "sample": 88200,\n "angle": 30 // Azimuth angle in degrees\n },\n {\n "sample": 176400,\n "angle\u201d: 50 \n }\n ],\n "hrir_filename": ["VP_N4-ED",\n "VP_N4-BTE_fr",\n "VP_N4-BTE_mid",\n "VP_N4-BTE_rear"] // HRIR filename for each channel to generate\n },\n "interferers": [\n {\n "position": 1, // Index of interferer position (See rooms.json)\n "time_start": 0, // time of interferer onset in samples\n "time_end": 261119, // time of interferer offset in samples\n "name": "track_1353255", // interferer name\n "type": "music", // interferer type: speech, noise or music\n "offset": 4076256 // index into interferer file at which to extract sample\n },\n { // etc, up to three interferers\n }\n ],\n "dataset": "train", // the dataset to which the scene belongs: train, dev or eval\n "duration": 261119, // total duration of scene in samples\n "SNR": 6.89 // targe SNR for the scene\n },\n ...\n]\n'})}),"\n",(0,a.jsx)(n.p,{children:"There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room."}),"\n",(0,a.jsxs)(n.p,{children:["The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section ",(0,a.jsx)(n.a,{href:"#d9-listener-metadata",children:"D.9"}),")."]}),"\n",(0,a.jsx)(n.p,{children:"Noise interferers are labelled with a type \u201cmusic\u201d, \u201cnoise\u201d or \u201cspeech\u201d and then have a unique name identifying the file."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"speech"}),": ",(0,a.jsx)(n.code,{children:"_"})," where ",(0,a.jsx)(n.code,{children:"ACCENT_CODE"})," is a three letter code identify the accent region and gender of the speaker and ",(0,a.jsx)(n.code,{children:"SPEAKER_ID"}),' is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK ',(0,a.jsx)(n.strong,{children:"mi"}),"dlands accented ",(0,a.jsx)(n.strong,{children:"f"}),"emale, speaker 02484. The speech comes from Demirshan et al. [",(0,a.jsx)(n.a,{href:"#references",children:"1"}),"] which provides more details."]}),"\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"noise"}),": ",(0,a.jsx)(n.code,{children:"CIN__"})," where ",(0,a.jsx)(n.code,{children:"NOISE_TYPE"})," is one of ",(0,a.jsx)(n.code,{children:"dishwasher"}),", ",(0,a.jsx)(n.code,{children:"fan"}),", ",(0,a.jsx)(n.code,{children:"hairdryer"}),", ",(0,a.jsx)(n.code,{children:"kettle"}),", ",(0,a.jsx)(n.code,{children:"microwave"}),", ",(0,a.jsx)(n.code,{children:"vacuum"})," (vacuum cleaner) or ",(0,a.jsx)(n.code,{children:"washing"})," (washing machine) and ",(0,a.jsx)(n.code,{children:"NOISE_ID"})," is a unique 3-digit code for the sample."]}),"\n",(0,a.jsxs)(n.li,{children:["For ",(0,a.jsx)(n.strong,{children:"music"}),": ",(0,a.jsx)(n.code,{children:"track_"})," where ",(0,a.jsx)(n.code,{children:"TRACK_ID"})," is unique 7-digit track identifier taken from the MTG Jamendo database. [",(0,a.jsx)(n.a,{href:"#references",children:"2"}),"]"]}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["Given the type and name, further interferer metadata can be found in the files ",(0,a.jsx)(n.code,{children:"masker_speech_list.json"}),", ",(0,a.jsx)(n.code,{children:"masker_noise_list.json"})," and ",(0,a.jsx)(n.code,{children:"masker_music_list.json"})," which are distributed with the challenge."]}),"\n",(0,a.jsx)(n.h3,{id:"d9-listener-metadata",children:"D.9 Listener metadata"}),"\n",(0,a.jsx)(n.p,{children:"Audiogram data is stored in a single JSON file with the following format."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{\n "L0001": {\n "name": "L0001",\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\n "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60],\n "audiogram_levels_r": [ \u2026 ],\n },\n "L0002": {\n ...\n },\n ...\n}\n'})}),"\n",(0,a.jsx)(n.p,{children:"Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS"}),"\n",(0,a.jsx)(n.h3,{id:"d10-scene-listener-map",children:"D.10 Scene-Listener map"}),"\n",(0,a.jsx)(n.p,{children:"JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes_listeners.json"',children:'{\n "S00001": ["L0001", "L0002", "L0003"],\n "S00002": ["L0003", "L0005", "L0007"],\n ... \n}\n'})}),"\n",(0,a.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsxs)(n.li,{children:['Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, ',(0,a.jsx)(n.a,{href:"https://openslr.org/83/",children:"Avialable Online"})]}),"\n",(0,a.jsxs)(n.li,{children:['Bogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", ',(0,a.jsx)(n.a,{href:"https://mtg.github.io/mtg-jamendo-dataset/",children:"Available Online"})]}),"\n"]})]})}function m(e={}){const{wrapper:n}={...(0,t.a)(),...e.components};return n?(0,a.jsx)(n,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}},11151:(e,n,i)=>{i.d(n,{Z:()=>o,a:()=>r});var a=i(67294);const t={},s=a.createContext(t);function r(e){const n=a.useContext(s);return a.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:r(e.components),a.createElement(s.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/8b3d0abd.60110b29.js b/assets/js/8b3d0abd.60110b29.js deleted file mode 100644 index cf295bcfb..000000000 --- a/assets/js/8b3d0abd.60110b29.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6254],{22836:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/focus-group","page":1,"postsPerPage":1,"totalPages":1,"totalCount":1,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file diff --git a/assets/js/8b3d0abd.70d459e6.js b/assets/js/8b3d0abd.70d459e6.js new file mode 100644 index 000000000..83cf69075 --- /dev/null +++ b/assets/js/8b3d0abd.70d459e6.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[4896],{4763:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/focus-group","page":1,"postsPerPage":1,"totalPages":1,"totalCount":1,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file diff --git a/assets/js/8c34f1c9.0d487c14.js b/assets/js/8c34f1c9.0d487c14.js deleted file mode 100644 index b26dfc659..000000000 --- a/assets/js/8c34f1c9.0d487c14.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[8641],{95738:e=>{e.exports=JSON.parse('{"title":"The Challenge Data","slug":"/category/the-challenge-data","permalink":"/docs/category/the-challenge-data","navigation":{"previous":{"title":"Download Data","permalink":"/docs/cec1/cec1_download"},"next":{"title":"The Scenario","permalink":"/docs/cec1/data/cec1_scenario"}}}')}}]); \ No newline at end of file diff --git a/assets/js/8c34f1c9.2af7aefa.js b/assets/js/8c34f1c9.2af7aefa.js new file mode 100644 index 000000000..f73e14401 --- /dev/null +++ b/assets/js/8c34f1c9.2af7aefa.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[476],{78792:e=>{e.exports=JSON.parse('{"title":"The Challenge Data","slug":"/category/the-challenge-data","permalink":"/docs/category/the-challenge-data","navigation":{"previous":{"title":"Download Data","permalink":"/docs/cec1/cec1_download"},"next":{"title":"The Scenario","permalink":"/docs/cec1/data/cec1_scenario"}}}')}}]); \ No newline at end of file diff --git a/assets/js/8f0fa5fa.2eb279c1.js b/assets/js/8f0fa5fa.2eb279c1.js new file mode 100644 index 000000000..3680244fa --- /dev/null +++ b/assets/js/8f0fa5fa.2eb279c1.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[4816],{5740:(e,i,n)=>{n.r(i),n.d(i,{assets:()=>c,contentTitle:()=>a,default:()=>u,frontMatter:()=>t,metadata:()=>l,toc:()=>d});var s=n(17624),r=n(4552),o=n(70964);const t={id:"icassp2023_new_evaluation",title:"ICASSP 2023 More ecologically-valid eval set",sidebar_label:"New evaluation set",sidebar_position:6.5},a=void 0,l={id:"icassp2023/data/icassp2023_new_evaluation",title:"ICASSP 2023 More ecologically-valid eval set",description:"Overview",source:"@site/docs/icassp2023/data/icassp2023_new_evaluation.mdx",sourceDirName:"icassp2023/data",slug:"/icassp2023/data/icassp2023_new_evaluation",permalink:"/docs/icassp2023/data/icassp2023_new_evaluation",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:6.5,frontMatter:{id:"icassp2023_new_evaluation",title:"ICASSP 2023 More ecologically-valid eval set",sidebar_label:"New evaluation set",sidebar_position:6.5},sidebar:"tutorialSidebar_icassp2023",previous:{title:"Data Specification",permalink:"/docs/icassp2023/data/icassp2023_data"},next:{title:"Software",permalink:"/docs/category/software-3"}},c={},d=[{value:"Overview",id:"overview",level:2},{value:"Environment",id:"environment",level:2},{value:"Equipment",id:"equipment",level:2},{value:"Target speech",id:"target-speech",level:2},{value:"Interferers",id:"interferers",level:2},{value:"Listener",id:"listener",level:2},{value:"Talker, noise and listener position",id:"talker-noise-and-listener-position",level:2},{value:"Publication",id:"publication",level:2},{value:"Example recordings",id:"example-recordings",level:2},{value:"References",id:"references",level:2}];function h(e){const i={a:"a",code:"code",h2:"h2",li:"li",p:"p",ul:"ul",...(0,r.M)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.h2,{id:"overview",children:"Overview"}),"\n",(0,s.jsxs)(i.p,{children:["This more ecologically-valid eval set (",(0,s.jsx)(i.code,{children:"eval2"}),") has been designed to answer the following research question: Can systems trained on simulated data generalise to more ecologically-valid measurement data?"]}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Recordings were carried in a real room using live talkers."}),"\n",(0,s.jsxs)(i.li,{children:["The talkers were recorded on both a close microphone and also a 1st-order ambisonic microphone at the listener position.","\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Head rotations are done using the spherical harmonic representation of the sound."}),"\n",(0,s.jsx)(i.li,{children:"HRTFs are applied to get the hearing-aid microphone signals, as for the simulated datasets."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.li,{children:"The talkers were recorded in noise-free conditions."}),"\n",(0,s.jsx)(i.li,{children:"Noise, music and speech interferers were played from loudspeaker and recorded on the ambisonic microphone."}),"\n",(0,s.jsx)(i.li,{children:"The target talker and intereferer are then mixed to create a scene with a desired SNR."}),"\n",(0,s.jsx)(i.li,{children:"The random positions of the sources and receivers were achieved using the same limitations as applied to the simulated set (e.g. target talker and listener at least 1m apart)"}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"Differences between simulated and ecologically-valid datasets:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Talkers speaking and behaving different when asked to talk to a distant microphone in a real room."}),"\n",(0,s.jsx)(i.li,{children:"Real room acoustic altering sound instead of simulation using geometric room acoustic model."}),"\n",(0,s.jsx)(i.li,{children:"Directivity of interferers not omni-directional."}),"\n",(0,s.jsx)(i.li,{children:"Transducer noise on the distant ambisonic microphone."}),"\n",(0,s.jsx)(i.li,{children:"Measurements had lower order Ambisonics than used in the simulations."}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"environment",children:"Environment"}),"\n",(0,s.jsxs)(i.p,{children:["Recordings were done in the ",(0,s.jsx)(i.a,{href:"https://acoustictesting.salford.ac.uk/acoustic-laboratories/listening-room/",children:"Acoustics Research Centre's listening room at the University of Salford"}),"."]}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Mid-frequency reverberation time: 0.27s"}),"\n",(0,s.jsx)(i.li,{children:"Room dimensions: 6.6m \xd7 5.8m \xd7 2.8m"}),"\n",(0,s.jsx)(i.li,{children:"Background noise: 5.7 dBA"}),"\n"]}),"\n",(0,s.jsxs)("figure",{id:"fig1",children:[(0,s.jsx)("img",{width:"500",src:(0,o.c)("/img/ICASSP2023/binaural_with_head_tracking_in_salford_university_listening_room.jpg")}),(0,s.jsx)("figcaption",{children:"Figure 1. The listening room (photo not from evaluation set recording)."})]}),"\n",(0,s.jsx)(i.h2,{id:"equipment",children:"Equipment"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Close microphone: Neumann KM184 cardioid"}),"\n",(0,s.jsx)(i.li,{children:"Close microphone preamp: Alice mic.amp.pak1"}),"\n",(0,s.jsx)(i.li,{children:"Ambisonic microphone: Sennheiser Ambeo VR"}),"\n",(0,s.jsx)(i.li,{children:"Interface: RME Fireface UFX"}),"\n",(0,s.jsx)(i.li,{children:"Loudspeaker for interferer: M-audio BX8a"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"target-speech",children:"Target speech"}),"\n",(0,s.jsx)(i.p,{children:"A new set of 1,600 sentences generated from the British National Corpus not previously used by Clarity. These were generated using the same process as before [1]."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:["The sentences were read live by 10 actors: 5 male and 5 female.","\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Ages ranged from 20 to 62."}),"\n",(0,s.jsx)(i.li,{children:"Actors were standing."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.li,{children:"The talker faced the ambisonic microphone. They were told to talk to that microphone and ignore the close microphone."}),"\n",(0,s.jsx)(i.li,{children:"Recorded in noise-free conditions."}),"\n",(0,s.jsx)(i.li,{children:"Each speaker recorded 160 unique sentences, in blocks of 10 talking positions."}),"\n",(0,s.jsx)(i.li,{children:"A cardioid microphone about 50 cm from the talker recorded the reference speech for HASPI and HASQI."}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"interferers",children:"Interferers"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Recordings reproduced by loudspeakers."}),"\n",(0,s.jsx)(i.li,{children:"Recordings of speech, noise and muisc same sources as CEC2 evaluation set."}),"\n",(0,s.jsx)(i.li,{children:"Each interferer recorded separately on the ambisonics microphone."}),"\n",(0,s.jsx)(i.li,{children:"Loudspeaker facing ambisonic microphone"}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"listener",children:"Listener"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Recordings on a 1st order ambisonics microphone."}),"\n",(0,s.jsx)(i.li,{children:"Front of ambisonic room along x-axis of room."}),"\n",(0,s.jsx)(i.li,{children:"Head rotation done virtually via spherical harmonics with the same statistics as the training set."}),"\n",(0,s.jsx)(i.li,{children:"HRTFs applied to the ambisonic recordings using a virtual loudspeaker set-up to give the signals on the hearing aid microphones."}),"\n"]}),"\n",(0,s.jsx)(i.h2,{id:"talker-noise-and-listener-position",children:"Talker, noise and listener position"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:["16 different room layouts (see Figure 2) with random talker, interferer and listener positions.","\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"These positions determined using the same protocol as used for the simulation."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.li,{children:"A block of 10 sentences read for each layout."}),"\n",(0,s.jsx)(i.li,{children:"Sources and receivers at the same height (but some variation in the talker z-coordinate because of height differences in the actors)."}),"\n"]}),"\n",(0,s.jsxs)("figure",{id:"fig2",children:[(0,s.jsx)("img",{width:"100%",src:(0,o.c)("/img/ICASSP2023/layout_icassp_evaluation_set.png")}),(0,s.jsx)("figcaption",{children:"Figure 2. The 16 layouts. T talker; A ambisonic mic; N noise interferer; S speech interferer; M music interferer."})]}),"\n",(0,s.jsx)(i.h2,{id:"publication",children:"Publication"}),"\n",(0,s.jsx)(i.p,{children:"The target speech and interferers will be mixed to gain the desired signal to noise ratio using the same process as for the simulation set. The dataset will be available 1st February 2023."}),"\n",(0,s.jsx)(i.h2,{id:"example-recordings",children:"Example recordings"}),"\n",(0,s.jsx)(i.p,{children:"Recording of script reading by someone not used for the evaluation set. 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Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus. Data in Brief, 41, p.107951."})]})}function u(e={}){const{wrapper:i}={...(0,r.M)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(h,{...e})}):h(e)}},4552:(e,i,n)=>{n.d(i,{I:()=>a,M:()=>t});var s=n(11504);const r={},o=s.createContext(r);function t(e){const i=s.useContext(o);return s.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function a(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:t(e.components),s.createElement(o.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/8f0fa5fa.e675c307.js b/assets/js/8f0fa5fa.e675c307.js deleted file mode 100644 index 438c4e852..000000000 --- a/assets/js/8f0fa5fa.e675c307.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6513],{45045:(e,i,n)=>{n.r(i),n.d(i,{assets:()=>c,contentTitle:()=>t,default:()=>u,frontMatter:()=>a,metadata:()=>l,toc:()=>d});var 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3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var i=this._x2-t,r=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(i*i+r*r,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:zs(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};const Ws=function t(e){function i(t){return e?new Rs(t,e):new Ds(t,0)}return i.alpha=function(e){return t(+e)},i}(.5);function 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    "),yt=t=>t.replace(ht,"#br#"),mt=t=>!1!==t&&!["false","null","0"].includes(String(t).trim().toLowerCase()),Ct=function(t){const e=t.split(/(,)/),i=[];for(let r=0;r0&&r+1Math.max(0,t.split(e).length-1),_t=(t,e)=>{const i=xt(t,"~"),r=xt(e,"~");return 1===i&&1===r},bt=t=>{const e=xt(t,"~");let i=!1;if(e<=1)return t;e%2!=0&&t.startsWith("~")&&(t=t.substring(1),i=!0);const r=[...t];let n=r.indexOf("~"),o=r.lastIndexOf("~");for(;-1!==n&&-1!==o&&n!==o;)r[n]="<",r[o]=">",n=r.indexOf("~"),o=r.lastIndexOf("~");return i&&r.unshift("~"),r.join("")},vt={getRows:t=>{if(!t)return[""];return yt(t).replace(/\\n/g,"#br#").split("#br#")},sanitizeText:pt,sanitizeTextOrArray:(t,e)=>"string"==typeof t?pt(t,e):t.flat().map((t=>pt(t,e))),hasBreaks:t=>ht.test(t),splitBreaks:t=>t.split(ht),lineBreakRegex:ht,removeScript:dt,getUrl:t=>{let e="";return t&&(e=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,e=e.replaceAll(/\(/g,"\\("),e=e.replaceAll(/\)/g,"\\)")),e},evaluate:mt,getMax:function(...t){const e=t.filter((t=>!isNaN(t)));return Math.max(...e)},getMin:function(...t){const e=t.filter((t=>!isNaN(t)));return Math.min(...e)}},kt=(t,e)=>h(t,e?{s:-40,l:10}:{s:-40,l:-10}),Tt="#ffffff",wt="#f2f2f2";let St=class{constructor(){this.background="#f4f4f4",this.primaryColor="#fff4dd",this.noteBkgColor="#fff5ad",this.noteTextColor="#333",this.THEME_COLOR_LIMIT=12,this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px"}updateColors(){var t,e,i,r,n,o,a,s,l,c,u;if(this.primaryTextColor=this.primaryTextColor||(this.darkMode?"#eee":"#333"),this.secondaryColor=this.secondaryColor||h(this.primaryColor,{h:-120}),this.tertiaryColor=this.tertiaryColor||h(this.primaryColor,{h:180,l:5}),this.primaryBorderColor=this.primaryBorderColor||kt(this.primaryColor,this.darkMode),this.secondaryBorderColor=this.secondaryBorderColor||kt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=this.tertiaryBorderColor||kt(this.tertiaryColor,this.darkMode),this.noteBorderColor=this.noteBorderColor||kt(this.noteBkgColor,this.darkMode),this.noteBkgColor=this.noteBkgColor||"#fff5ad",this.noteTextColor=this.noteTextColor||"#333",this.secondaryTextColor=this.secondaryTextColor||f(this.secondaryColor),this.tertiaryTextColor=this.tertiaryTextColor||f(this.tertiaryColor),this.lineColor=this.lineColor||f(this.background),this.arrowheadColor=this.arrowheadColor||f(this.background),this.textColor=this.textColor||this.primaryTextColor,this.border2=this.border2||this.tertiaryBorderColor,this.nodeBkg=this.nodeBkg||this.primaryColor,this.mainBkg=this.mainBkg||this.primaryColor,this.nodeBorder=this.nodeBorder||this.primaryBorderColor,this.clusterBkg=this.clusterBkg||this.tertiaryColor,this.clusterBorder=this.clusterBorder||this.tertiaryBorderColor,this.defaultLinkColor=this.defaultLinkColor||this.lineColor,this.titleColor=this.titleColor||this.tertiaryTextColor,this.edgeLabelBackground=this.edgeLabelBackground||(this.darkMode?(0,p.c)(this.secondaryColor,30):this.secondaryColor),this.nodeTextColor=this.nodeTextColor||this.primaryTextColor,this.actorBorder=this.actorBorder||this.primaryBorderColor,this.actorBkg=this.actorBkg||this.mainBkg,this.actorTextColor=this.actorTextColor||this.primaryTextColor,this.actorLineColor=this.actorLineColor||"grey",this.labelBoxBkgColor=this.labelBoxBkgColor||this.actorBkg,this.signalColor=this.signalColor||this.textColor,this.signalTextColor=this.signalTextColor||this.textColor,this.labelBoxBorderColor=this.labelBoxBorderColor||this.actorBorder,this.labelTextColor=this.labelTextColor||this.actorTextColor,this.loopTextColor=this.loopTextColor||this.actorTextColor,this.activationBorderColor=this.activationBorderColor||(0,p.c)(this.secondaryColor,10),this.activationBkgColor=this.activationBkgColor||this.secondaryColor,this.sequenceNumberColor=this.sequenceNumberColor||f(this.lineColor),this.sectionBkgColor=this.sectionBkgColor||this.tertiaryColor,this.altSectionBkgColor=this.altSectionBkgColor||"white",this.sectionBkgColor=this.sectionBkgColor||this.secondaryColor,this.sectionBkgColor2=this.sectionBkgColor2||this.primaryColor,this.excludeBkgColor=this.excludeBkgColor||"#eeeeee",this.taskBorderColor=this.taskBorderColor||this.primaryBorderColor,this.taskBkgColor=this.taskBkgColor||this.primaryColor,this.activeTaskBorderColor=this.activeTaskBorderColor||this.primaryColor,this.activeTaskBkgColor=this.activeTaskBkgColor||(0,g.c)(this.primaryColor,23),this.gridColor=this.gridColor||"lightgrey",this.doneTaskBkgColor=this.doneTaskBkgColor||"lightgrey",this.doneTaskBorderColor=this.doneTaskBorderColor||"grey",this.critBorderColor=this.critBorderColor||"#ff8888",this.critBkgColor=this.critBkgColor||"red",this.todayLineColor=this.todayLineColor||"red",this.taskTextColor=this.taskTextColor||this.textColor,this.taskTextOutsideColor=this.taskTextOutsideColor||this.textColor,this.taskTextLightColor=this.taskTextLightColor||this.textColor,this.taskTextColor=this.taskTextColor||this.primaryTextColor,this.taskTextDarkColor=this.taskTextDarkColor||this.textColor,this.taskTextClickableColor=this.taskTextClickableColor||"#003163",this.personBorder=this.personBorder||this.primaryBorderColor,this.personBkg=this.personBkg||this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||this.tertiaryColor,this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.specialStateColor=this.lineColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||h(this.primaryColor,{h:30}),this.cScale4=this.cScale4||h(this.primaryColor,{h:60}),this.cScale5=this.cScale5||h(this.primaryColor,{h:90}),this.cScale6=this.cScale6||h(this.primaryColor,{h:120}),this.cScale7=this.cScale7||h(this.primaryColor,{h:150}),this.cScale8=this.cScale8||h(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||h(this.primaryColor,{h:270}),this.cScale10=this.cScale10||h(this.primaryColor,{h:300}),this.cScale11=this.cScale11||h(this.primaryColor,{h:330}),this.darkMode)for(let h=0;h{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};let Bt=class{constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=(0,g.c)(this.primaryColor,16),this.tertiaryColor=h(this.primaryColor,{h:-160}),this.primaryBorderColor=f(this.background),this.secondaryBorderColor=kt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=kt(this.tertiaryColor,this.darkMode),this.primaryTextColor=f(this.primaryColor),this.secondaryTextColor=f(this.secondaryColor),this.tertiaryTextColor=f(this.tertiaryColor),this.lineColor=f(this.background),this.textColor=f(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=(0,g.c)(f("#323D47"),10),this.lineColor="calculated",this.border1="#81B1DB",this.border2=(0,u.c)(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=(0,p.c)("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=(0,p.c)(this.sectionBkgColor,10),this.taskBorderColor=(0,u.c)(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=(0,u.c)(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){var t,e,i,r,n,o,a,s,l,c,u;this.secondBkg=(0,g.c)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,g.c)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,g.c)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=h(this.primaryColor,{h:64}),this.fillType3=h(this.secondaryColor,{h:64}),this.fillType4=h(this.primaryColor,{h:-64}),this.fillType5=h(this.secondaryColor,{h:-64}),this.fillType6=h(this.primaryColor,{h:128}),this.fillType7=h(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||h(this.primaryColor,{h:30}),this.cScale4=this.cScale4||h(this.primaryColor,{h:60}),this.cScale5=this.cScale5||h(this.primaryColor,{h:90}),this.cScale6=this.cScale6||h(this.primaryColor,{h:120}),this.cScale7=this.cScale7||h(this.primaryColor,{h:150}),this.cScale8=this.cScale8||h(this.primaryColor,{h:210}),this.cScale9=this.cScale9||h(this.primaryColor,{h:270}),this.cScale10=this.cScale10||h(this.primaryColor,{h:300}),this.cScale11=this.cScale11||h(this.primaryColor,{h:330});for(let h=0;h{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};let Ft=class{constructor(){this.background="#f4f4f4",this.primaryColor="#ECECFF",this.secondaryColor=h(this.primaryColor,{h:120}),this.secondaryColor="#ffffde",this.tertiaryColor=h(this.primaryColor,{h:-160}),this.primaryBorderColor=kt(this.primaryColor,this.darkMode),this.secondaryBorderColor=kt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=kt(this.tertiaryColor,this.darkMode),this.primaryTextColor=f(this.primaryColor),this.secondaryTextColor=f(this.secondaryColor),this.tertiaryTextColor=f(this.tertiaryColor),this.lineColor=f(this.background),this.textColor=f(this.background),this.background="white",this.mainBkg="#ECECFF",this.secondBkg="#ffffde",this.lineColor="#333333",this.border1="#9370DB",this.border2="#aaaa33",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#e8e8e8",this.textColor="#333",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="calculated",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="calculated",this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor="calculated",this.taskTextOutsideColor=this.taskTextDarkColor,this.taskTextClickableColor="calculated",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBorderColor="calculated",this.critBkgColor="calculated",this.todayLineColor="calculated",this.sectionBkgColor=(0,u.c)(102,102,255,.49),this.altSectionBkgColor="white",this.sectionBkgColor2="#fff400",this.taskBorderColor="#534fbc",this.taskBkgColor="#8a90dd",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="#534fbc",this.activeTaskBkgColor="#bfc7ff",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222",this.updateColors()}updateColors(){var t,e,i,r,n,o,a,s,l,c,u;this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||h(this.primaryColor,{h:30}),this.cScale4=this.cScale4||h(this.primaryColor,{h:60}),this.cScale5=this.cScale5||h(this.primaryColor,{h:90}),this.cScale6=this.cScale6||h(this.primaryColor,{h:120}),this.cScale7=this.cScale7||h(this.primaryColor,{h:150}),this.cScale8=this.cScale8||h(this.primaryColor,{h:210}),this.cScale9=this.cScale9||h(this.primaryColor,{h:270}),this.cScale10=this.cScale10||h(this.primaryColor,{h:300}),this.cScale11=this.cScale11||h(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,p.c)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,p.c)(this.tertiaryColor,40);for(let h=0;h{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};const At=t=>{const e=new Ft;return e.calculate(t),e};let Lt=class{constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=(0,g.c)("#cde498",10),this.primaryBorderColor=kt(this.primaryColor,this.darkMode),this.secondaryBorderColor=kt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=kt(this.tertiaryColor,this.darkMode),this.primaryTextColor=f(this.primaryColor),this.secondaryTextColor=f(this.secondaryColor),this.tertiaryTextColor=f(this.primaryColor),this.lineColor=f(this.background),this.textColor=f(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){var t,e,i,r,n,o,a,s,l,c,u;this.actorBorder=(0,p.c)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||h(this.primaryColor,{h:30}),this.cScale4=this.cScale4||h(this.primaryColor,{h:60}),this.cScale5=this.cScale5||h(this.primaryColor,{h:90}),this.cScale6=this.cScale6||h(this.primaryColor,{h:120}),this.cScale7=this.cScale7||h(this.primaryColor,{h:150}),this.cScale8=this.cScale8||h(this.primaryColor,{h:210}),this.cScale9=this.cScale9||h(this.primaryColor,{h:270}),this.cScale10=this.cScale10||h(this.primaryColor,{h:300}),this.cScale11=this.cScale11||h(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,p.c)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,p.c)(this.tertiaryColor,40);for(let h=0;h{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};class Mt{constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=(0,g.c)(this.contrast,55),this.background="#ffffff",this.tertiaryColor=h(this.primaryColor,{h:-160}),this.primaryBorderColor=kt(this.primaryColor,this.darkMode),this.secondaryBorderColor=kt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=kt(this.tertiaryColor,this.darkMode),this.primaryTextColor=f(this.primaryColor),this.secondaryTextColor=f(this.secondaryColor),this.tertiaryTextColor=f(this.tertiaryColor),this.lineColor=f(this.background),this.textColor=f(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){var t,e,i,r,n,o,a,s,l,c,u;this.secondBkg=(0,g.c)(this.contrast,55),this.border2=this.contrast,this.actorBorder=(0,g.c)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.lineColor,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let h=0;h{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}}const 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A suggested approach to overcome the non-differentiable loss function."}),"\n",(0,i.jsxs)(n.p,{children:["The aim of our Enhancement Challenge is to get people producing new algorithms for processing speech signals through hearing aids. We expect most entries to replace the classic hearing aid processing of Dynamic Range Compressors (DRCs) with ",(0,i.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/Deep_learning",children:"deep neural networks (DNN)"})," (although all approaches are welcome!). The first round of the challenge is going to be all about improving speech intelligibility."]}),"\n",(0,i.jsxs)(n.p,{children:["Setting up a DNN structure and training regime for the task is not as straightforward as it might first appear. Figure 1 shows an example of a naive training regime. An audio example of Speech in Noise (SPIN) is randomly created (",(0,i.jsx)(n.em,{children:"audio sample generation"}),", bottom left), and a listener is randomly selected with particular hearing loss characteristics (",(0,i.jsx)(n.em,{children:"random artificial listener generation"}),", top left). The DNN Enhancement model (represented by the bright yellow box) then produces improved speech in noise. (Audio signals in pink are two-channel, left and right because this is for binaural hearing aids.)"]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"schematic",src:t(6347).Z+"",width:"1149",height:"446"})}),"\n",(0,i.jsx)(n.p,{children:"Figure 1"}),"\n",(0,i.jsx)(n.p,{children:"Next the improved speech in noise is passed to the Prediction Model in the lime green box, and this gives an estimation of the Speech Intelligibility (SI). Our baseline system will include algorithms for this. We\u2019ve already blogged about the Hearing Loss Simulation. Our current thinking is that the intelligibility model will be using a binaural form of the Short-Time Objective Intelligibility Index (STOI) [1]. The dashed line going back to the enhancement model shows that the DNN will be updated based on the reciprocal of the Speech Intelligibility (SI) score. By minimising (1/SI), the enhancement model will be maximising intelligibility."}),"\n","\n",(0,i.jsx)(n.p,{children:"The difficulty here is that updating the Enhancement Model DNN during training requires the error to be known at the DNN\u2019s output (the point labelled \u201cimproved SPIN\u201d). But we don\u2019t know this, we only know the error on the output of the prediction model at the far right of the diagram. This wouldn\u2019t be a problem if the prediction model could be inverted, because we could then run the 1/SI error backwards through the inverse model."}),"\n",(0,i.jsx)(n.p,{children:"As the inverse of the prediction model isn\u2019t available, one solution is to train another DNN to mimic its behaviour (Figure 2). As this new Prediction Model is a DNN, the 1/SI error can be passed backwards through it using standard neural network training formulations."}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"schematic",src:t(87779).Z+"",width:"873",height:"432"})}),"\n",(0,i.jsxs)(n.p,{children:["This DNN prediction model could be trained first using knowledge distillation (",(0,i.jsx)(n.a,{href:"http://usir.salford.ac.uk/id/eprint/56234/",children:"this is something I\u2019ve previous done for a speech intelligibility model"}),"), and then the weights frozen while the Enhancement Model is trained. But there is a \u2018chicken and egg\u2019 problem here. The difficulty is generating all the training data for the prediction model. Until you train the enhancement model, you won\u2019t have a representative examples of \u201cimproved SPIN\u201d to train the prediction model. But without the prediction model, you can\u2019t train the enhancement model."]}),"\n",(0,i.jsxs)(n.p,{children:["One solution is to train the two DNNs in tandem, with an approach analogous to how pairs of networks are trained in a ",(0,i.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/Generative_adversarial_network",children:"Generative Adversarial Network"})," (GAN). iMetricGan developed by Li et al. [2] is an example of this being done for speech enhancement, although the authors weren\u2019t trying to include hearing loss simulation. They aren\u2019t the only ones looking at trying to solve problems where a non-differentiable or black-box evaluation function is in the way of DNN training [3][4]."]}),"\n",(0,i.jsx)(n.p,{children:"We hope our entrants will come up with lots of other ways of overcoming this problem. How would you tackle it?"}),"\n",(0,i.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["[1] Andersen, A.H., Haan, J.M.D., Tan, Z.H. and Jensen, J., 2015. A binaural short time objective intelligibility measure for noisy and enhanced speech. In the ",(0,i.jsx)(n.em,{children:"Sixteenth Annual Conference of the International Speech Communication Association"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["[2] Li, H., Fu, S.W., Tsao, Y. and Yamagishi, J., 2020. iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2004.00932"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["[3] Gillhofer, M., Ramsauer, H., Brandstetter, J., Sch\xe4fl, B. and Hochreiter, S., 2019. A GAN based solver of black-box inverse problems. Proceedings of the ",(0,i.jsx)(n.em,{children:"NeurIPS 2019 Workshop"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["[4] Kawanaka, M., Koizumi, Y., Miyazaki, R. and Yatabe, K., 2020, May. Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function. In ICASSP 2020-2020 ",(0,i.jsx)(n.em,{children:"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"})," (pp. 7524-7528). IEEE."]}),"\n"]})]})}function d(e={}){const{wrapper:n}={...(0,a.a)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(c,{...e})}):c(e)}},6347:(e,n,t)=>{t.d(n,{Z:()=>i});const i=t.p+"assets/images/clarity_schematic_for_blog-09-602e0853d7a6c77eacab682e49402529.png"},87779:(e,n,t)=>{t.d(n,{Z:()=>i});const i=t.p+"assets/images/clarity_schematic_for_blog-10-9842f1551e82cd2aca1ab814230df345.png"},11151:(e,n,t)=>{t.d(n,{Z:()=>l,a:()=>r});var i=t(67294);const a={},o=i.createContext(a);function r(e){const n=i.useContext(o);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:r(e.components),i.createElement(o.Provider,{value:n},e.children)}}}]); \ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[7168],{39028:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>s,contentTitle:()=>r,default:()=>d,frontMatter:()=>o,metadata:()=>l,toc:()=>h});var i=t(17624),a=t(4552);const o={slug:"One approach to our enhancement challenge",title:"One approach to our enhancement challenge",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["DNN","enhancement","evaluation","GAN","hearing aid","knowledge distillation"]},r=void 0,l={permalink:"/blog/One approach to our enhancement challenge",source:"@site/blog/2020-07-29-one-approach-to-our-enhancement-challenge.mdx",title:"One approach to our enhancement challenge",description:"Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function.",date:"2020-07-29T00:00:00.000Z",formattedDate:"July 29, 2020",tags:[{label:"DNN",permalink:"/blog/tags/dnn"},{label:"enhancement",permalink:"/blog/tags/enhancement"},{label:"evaluation",permalink:"/blog/tags/evaluation"},{label:"GAN",permalink:"/blog/tags/gan"},{label:"hearing aid",permalink:"/blog/tags/hearing-aid"},{label:"knowledge distillation",permalink:"/blog/tags/knowledge-distillation"}],readingTime:3.59,hasTruncateMarker:!0,authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"One approach to our enhancement challenge",title:"One approach to our enhancement challenge",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["DNN","enhancement","evaluation","GAN","hearing aid","knowledge distillation"]},unlisted:!1,prevItem:{title:"Clarity Challenge pre-announcement",permalink:"/blog/Clarity Challenge pre-announcement"},nextItem:{title:"The speech-in-noise problem part two",permalink:"/blog/The speech-in-noise problem part two"}},s={authorsImageUrls:[void 0]},h=[{value:"References",id:"references",level:2}];function c(e){const n={a:"a",em:"em",h2:"h2",img:"img",li:"li",p:"p",ul:"ul",...(0,a.M)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.p,{children:"Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function."}),"\n",(0,i.jsxs)(n.p,{children:["The aim of our Enhancement Challenge is to get people producing new algorithms for processing speech signals through hearing aids. We expect most entries to replace the classic hearing aid processing of Dynamic Range Compressors (DRCs) with ",(0,i.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/Deep_learning",children:"deep neural networks (DNN)"})," (although all approaches are welcome!). The first round of the challenge is going to be all about improving speech intelligibility."]}),"\n",(0,i.jsxs)(n.p,{children:["Setting up a DNN structure and training regime for the task is not as straightforward as it might first appear. Figure 1 shows an example of a naive training regime. An audio example of Speech in Noise (SPIN) is randomly created (",(0,i.jsx)(n.em,{children:"audio sample generation"}),", bottom left), and a listener is randomly selected with particular hearing loss characteristics (",(0,i.jsx)(n.em,{children:"random artificial listener generation"}),", top left). The DNN Enhancement model (represented by the bright yellow box) then produces improved speech in noise. (Audio signals in pink are two-channel, left and right because this is for binaural hearing aids.)"]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"schematic",src:t(21468).c+"",width:"1149",height:"446"})}),"\n",(0,i.jsx)(n.p,{children:"Figure 1"}),"\n",(0,i.jsx)(n.p,{children:"Next the improved speech in noise is passed to the Prediction Model in the lime green box, and this gives an estimation of the Speech Intelligibility (SI). Our baseline system will include algorithms for this. We\u2019ve already blogged about the Hearing Loss Simulation. Our current thinking is that the intelligibility model will be using a binaural form of the Short-Time Objective Intelligibility Index (STOI) [1]. The dashed line going back to the enhancement model shows that the DNN will be updated based on the reciprocal of the Speech Intelligibility (SI) score. By minimising (1/SI), the enhancement model will be maximising intelligibility."}),"\n","\n",(0,i.jsx)(n.p,{children:"The difficulty here is that updating the Enhancement Model DNN during training requires the error to be known at the DNN\u2019s output (the point labelled \u201cimproved SPIN\u201d). But we don\u2019t know this, we only know the error on the output of the prediction model at the far right of the diagram. This wouldn\u2019t be a problem if the prediction model could be inverted, because we could then run the 1/SI error backwards through the inverse model."}),"\n",(0,i.jsx)(n.p,{children:"As the inverse of the prediction model isn\u2019t available, one solution is to train another DNN to mimic its behaviour (Figure 2). As this new Prediction Model is a DNN, the 1/SI error can be passed backwards through it using standard neural network training formulations."}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"schematic",src:t(60900).c+"",width:"873",height:"432"})}),"\n",(0,i.jsxs)(n.p,{children:["This DNN prediction model could be trained first using knowledge distillation (",(0,i.jsx)(n.a,{href:"http://usir.salford.ac.uk/id/eprint/56234/",children:"this is something I\u2019ve previous done for a speech intelligibility model"}),"), and then the weights frozen while the Enhancement Model is trained. But there is a \u2018chicken and egg\u2019 problem here. The difficulty is generating all the training data for the prediction model. Until you train the enhancement model, you won\u2019t have a representative examples of \u201cimproved SPIN\u201d to train the prediction model. But without the prediction model, you can\u2019t train the enhancement model."]}),"\n",(0,i.jsxs)(n.p,{children:["One solution is to train the two DNNs in tandem, with an approach analogous to how pairs of networks are trained in a ",(0,i.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/Generative_adversarial_network",children:"Generative Adversarial Network"})," (GAN). iMetricGan developed by Li et al. [2] is an example of this being done for speech enhancement, although the authors weren\u2019t trying to include hearing loss simulation. They aren\u2019t the only ones looking at trying to solve problems where a non-differentiable or black-box evaluation function is in the way of DNN training [3][4]."]}),"\n",(0,i.jsx)(n.p,{children:"We hope our entrants will come up with lots of other ways of overcoming this problem. How would you tackle it?"}),"\n",(0,i.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["[1] Andersen, A.H., Haan, J.M.D., Tan, Z.H. and Jensen, J., 2015. A binaural short time objective intelligibility measure for noisy and enhanced speech. In the ",(0,i.jsx)(n.em,{children:"Sixteenth Annual Conference of the International Speech Communication Association"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["[2] Li, H., Fu, S.W., Tsao, Y. and Yamagishi, J., 2020. iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2004.00932"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["[3] Gillhofer, M., Ramsauer, H., Brandstetter, J., Sch\xe4fl, B. and Hochreiter, S., 2019. A GAN based solver of black-box inverse problems. Proceedings of the ",(0,i.jsx)(n.em,{children:"NeurIPS 2019 Workshop"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["[4] Kawanaka, M., Koizumi, Y., Miyazaki, R. and Yatabe, K., 2020, May. Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function. In ICASSP 2020-2020 ",(0,i.jsx)(n.em,{children:"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"})," (pp. 7524-7528). IEEE."]}),"\n"]})]})}function d(e={}){const{wrapper:n}={...(0,a.M)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(c,{...e})}):c(e)}},21468:(e,n,t)=>{t.d(n,{c:()=>i});const i=t.p+"assets/images/clarity_schematic_for_blog-09-602e0853d7a6c77eacab682e49402529.png"},60900:(e,n,t)=>{t.d(n,{c:()=>i});const i=t.p+"assets/images/clarity_schematic_for_blog-10-9842f1551e82cd2aca1ab814230df345.png"},4552:(e,n,t)=>{t.d(n,{I:()=>l,M:()=>r});var i=t(11504);const a={},o=i.createContext(a);function r(e){const n=i.useContext(o);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:r(e.components),i.createElement(o.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/9072f9e4.0e1b8a5c.js b/assets/js/9072f9e4.0e1b8a5c.js deleted file mode 100644 index 8b1e71a82..000000000 --- a/assets/js/9072f9e4.0e1b8a5c.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[2243],{46081:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>p,contentTitle:()=>d,default:()=>m,frontMatter:()=>s,metadata:()=>c,toc:()=>h});var l=r(85893),n=r(11151),i=r(44732),a=r(68672);const o=JSON.parse('{"defaultSort":{"field":"HASPI","order":"desc"},"format":[{"dataField":"rank","text":"Rank","sort":false},{"dataField":"team","text":"Team","sort":false},{"dataField":"id","text":"ID","sort":false},{"dataField":"paper","text":"Paper","type":"Link"},{"dataField":"spkr_id","text":"Spkr. 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Results are shown below along with links to the system description papers. Further information can be found on the Clarity-CEC2-2022 workshop website here.",source:"@site/docs/cec2/cec2_results.mdx",sourceDirName:"cec2",slug:"/cec2/cec2_results",permalink:"/docs/cec2/cec2_results",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:11,frontMatter:{id:"cec2_results",title:"Results",sidebar_label:"Results",sidebar_position:11},sidebar:"tutorialSidebar_cec2",previous:{title:"FAQ",permalink:"/docs/cec2/taking_part/cec2_faq"}},p={},h=[{value:"Prizes",id:"prizes",level:2}];function u(e){const t={a:"a",em:"em",h2:"h2",li:"li",p:"p",strong:"strong",ul:"ul",...(0,n.a)(),...e.components};return(0,l.jsxs)(l.Fragment,{children:[(0,l.jsxs)(t.p,{children:["The 2nd Clarity Enhancement Challenge is now complete. Results are shown below along with links to the system description papers. Further information can be found on the Clarity-CEC2-2022 workshop website ",(0,l.jsx)(t.a,{href:"https://claritychallenge.org/clarity2022-CEC2-workshop/results",children:"here"}),"."]}),"\n","\n","\n",(0,l.jsx)(t.p,{children:"The table below reports both the HASPI and listener intelligibility scores for all the submitted systems. The column 'Spkr. ID' and 'Head Rot.' indicate whether systems made use of the speaker identity and head rotation information, respectively. Links to the system reports are also provided."}),"\n",(0,l.jsx)(a.Z,{all_data:o}),"\n",(0,l.jsx)(t.h2,{id:"prizes",children:"Prizes"}),"\n",(0,l.jsx)(t.p,{children:"The Hearing Industry Research Consortium prizes for systems with the best HASPI score were awarded as follows:"}),"\n",(0,l.jsxs)(t.ul,{children:["\n",(0,l.jsxs)(t.li,{children:[(0,l.jsx)(t.strong,{children:"1st place"}),": System E009, Cornell et al, ",(0,l.jsx)(t.em,{children:"Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge"})," ",(0,l.jsx)(i.Z,{style:{color:"gold"}})]}),"\n",(0,l.jsxs)(t.li,{children:[(0,l.jsx)(t.strong,{children:"2nd place"}),": System E031, Liu and Zhang, ",(0,l.jsx)(t.em,{children:"DRC-NET for The 2nd Clarity Enhancement Challenge"})," ",(0,l.jsx)(i.Z,{style:{color:"silver"}})]}),"\n",(0,l.jsxs)(t.li,{children:[(0,l.jsx)(t.strong,{children:"3rd place"}),": System E008_hr, Ouyang et al., ",(0,l.jsx)(t.em,{children:"The Orka Inc 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i=new Error(t);throw i.hash=e,i}this.trace(t)},parse:function(t){var e=this,i=[0],n=[],r=[null],s=[],a=this.table,l="",c=0,o=0,h=s.slice.call(arguments,1),u=Object.create(this.lexer),y={yy:{}};for(var d in this.yy)Object.prototype.hasOwnProperty.call(this.yy,d)&&(y.yy[d]=this.yy[d]);u.setInput(t,y.yy),y.yy.lexer=u,y.yy.parser=this,void 0===u.yylloc&&(u.yylloc={});var p=u.yylloc;s.push(p);var _=u.options&&u.options.ranges;"function"==typeof y.yy.parseError?this.parseError=y.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var E,g,R,m,f,I,b,k,S,T={};;){if(g=i[i.length-1],this.defaultActions[g]?R=this.defaultActions[g]:(null==E&&(S=void 0,"number"!=typeof(S=n.pop()||u.lex()||1)&&(S instanceof Array&&(S=(n=S).pop()),S=e.symbols_[S]||S),E=S),R=a[g]&&a[g][E]),void 0===R||!R.length||!R[0]){var N="";for(f in k=[],a[g])this.terminals_[f]&&f>2&&k.push("'"+this.terminals_[f]+"'");N=u.showPosition?"Parse error on line "+(c+1)+":\n"+u.showPosition()+"\nExpecting "+k.join(", 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Please register as early as possible.","sidebar":"tutorialSidebar_icassp2023"},"learning/learning_intro":{"id":"learning/learning_intro","title":"Learning","description":"This pages contains some background information on the topics of speech intelligibility, hearing loss and objective measures."}}}')}}]); \ No newline at end of file diff --git a/assets/js/168.437e8f32.js b/assets/js/936.38a1cc7e.js similarity index 90% rename from assets/js/168.437e8f32.js rename to assets/js/936.38a1cc7e.js index 2faba6e06..8511e47f8 100644 --- a/assets/js/168.437e8f32.js +++ b/assets/js/936.38a1cc7e.js @@ -1,35 +1,35 @@ "use strict"; -exports.id = 168; -exports.ids = [168]; +exports.id = 936; +exports.ids = [936]; exports.modules = { -/***/ 41644: +/***/ 32304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - bK: () => (/* reexport */ layout) + cn: () => (/* reexport */ layout) }); // UNUSED EXPORTS: acyclic, normalize, rank // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/uniqueId.js -var uniqueId = __webpack_require__(66749); +var uniqueId = __webpack_require__(41696); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); +var map = __webpack_require__(92696); // EXTERNAL MODULE: ./node_modules/lodash-es/range.js + 2 modules -var range = __webpack_require__(74379); +var range = __webpack_require__(52264); // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/index.js -var graphlib = __webpack_require__(45625); +var graphlib = __webpack_require__(95536); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/data/list.js /* * Simple doubly linked list implementation derived from Cormen, et al., @@ -101,7 +101,7 @@ function filterOutLinks(k, v) { */ -var DEFAULT_WEIGHT_FN = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FN = constant/* default */.c(1); function greedyFAS(g, weightFn) { if (g.nodeCount() <= 1) { @@ -111,8 +111,8 @@ function greedyFAS(g, weightFn) { var results = doGreedyFAS(state.graph, state.buckets, state.zeroIdx); // Expand multi-edges - return flatten/* default */.Z( - map/* default */.Z(results, function (e) { + return flatten/* default */.c( + map/* default */.c(results, function (e) { return g.outEdges(e.v, e.w); }) ); @@ -148,7 +148,7 @@ function doGreedyFAS(g, buckets, zeroIdx) { function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { var results = collectPredecessors ? [] : undefined; - forEach/* default */.Z(g.inEdges(entry.v), function (edge) { + forEach/* default */.c(g.inEdges(entry.v), function (edge) { var weight = g.edge(edge); var uEntry = g.node(edge.v); @@ -160,7 +160,7 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { assignBucket(buckets, zeroIdx, uEntry); }); - forEach/* default */.Z(g.outEdges(entry.v), function (edge) { + forEach/* default */.c(g.outEdges(entry.v), function (edge) { var weight = g.edge(edge); var w = edge.w; var wEntry = g.node(w); @@ -174,17 +174,17 @@ function removeNode(g, buckets, zeroIdx, entry, collectPredecessors) { } function buildState(g, weightFn) { - var fasGraph = new graphlib/* Graph */.k(); + var fasGraph = new graphlib/* Graph */.M(); var maxIn = 0; var maxOut = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { fasGraph.setNode(v, { v: v, in: 0, out: 0 }); }); // Aggregate weights on nodes, but also sum the weights across multi-edges // into a single edge for the fasGraph. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var prevWeight = fasGraph.edge(e.v, e.w) || 0; var weight = weightFn(e); var edgeWeight = prevWeight + weight; @@ -193,12 +193,12 @@ function buildState(g, weightFn) { maxIn = Math.max(maxIn, (fasGraph.node(e.w)['in'] += weight)); }); - var buckets = range/* default */.Z(maxOut + maxIn + 3).map(function () { + var buckets = range/* default */.c(maxOut + maxIn + 3).map(function () { return new List(); }); var zeroIdx = maxIn + 1; - forEach/* default */.Z(fasGraph.nodes(), function (v) { + forEach/* default */.c(fasGraph.nodes(), function (v) { assignBucket(buckets, zeroIdx, fasGraph.node(v)); }); @@ -223,12 +223,12 @@ function assignBucket(buckets, zeroIdx, entry) { function run(g) { var fas = g.graph().acyclicer === 'greedy' ? greedyFAS(g, weightFn(g)) : dfsFAS(g); - forEach/* default */.Z(fas, function (e) { + forEach/* default */.c(fas, function (e) { var label = g.edge(e); g.removeEdge(e); label.forwardName = e.name; label.reversed = true; - g.setEdge(e.w, e.v, label, uniqueId/* default */.Z('rev')); + g.setEdge(e.w, e.v, label, uniqueId/* default */.c('rev')); }); function weightFn(g) { @@ -244,13 +244,13 @@ function dfsFAS(g) { var visited = {}; function dfs(v) { - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return; } visited[v] = true; stack[v] = true; - forEach/* default */.Z(g.outEdges(v), function (e) { - if (has/* default */.Z(stack, e.w)) { + forEach/* default */.c(g.outEdges(v), function (e) { + if (has/* default */.c(stack, e.w)) { fas.push(e); } else { dfs(e.w); @@ -259,12 +259,12 @@ function dfsFAS(g) { delete stack[v]; } - forEach/* default */.Z(g.nodes(), dfs); + forEach/* default */.c(g.nodes(), dfs); return fas; } function undo(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var label = g.edge(e); if (label.reversed) { g.removeEdge(e); @@ -278,13 +278,13 @@ function undo(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/merge.js + 6 modules -var merge = __webpack_require__(59236); +var merge = __webpack_require__(89064); // EXTERNAL MODULE: ./node_modules/lodash-es/pick.js + 4 modules -var pick = __webpack_require__(61666); +var pick = __webpack_require__(95108); // EXTERNAL MODULE: ./node_modules/lodash-es/defaults.js -var defaults = __webpack_require__(3688); +var defaults = __webpack_require__(12804); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseExtremum.js @@ -307,7 +307,7 @@ function baseExtremum(array, iteratee, comparator) { current = iteratee(value); if (current != null && (computed === undefined - ? (current === current && !(0,isSymbol/* default */.Z)(current)) + ? (current === current && !(0,isSymbol/* default */.c)(current)) : comparator(current, computed) )) { var computed = current, @@ -336,7 +336,7 @@ function baseGt(value, other) { /* harmony default export */ const _baseGt = (baseGt); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/max.js @@ -362,7 +362,7 @@ var identity = __webpack_require__(69203); */ function max(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseGt) + ? _baseExtremum(array, identity/* default */.c, _baseGt) : undefined; } @@ -391,11 +391,11 @@ function last(array) { /* harmony default export */ const lodash_es_last = (last); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseAssignValue.js -var _baseAssignValue = __webpack_require__(74752); +var _baseAssignValue = __webpack_require__(78848); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/mapValues.js @@ -431,10 +431,10 @@ var _baseIteratee = __webpack_require__(74765); */ function mapValues(object, iteratee) { var result = {}; - iteratee = (0,_baseIteratee/* default */.Z)(iteratee, 3); + iteratee = (0,_baseIteratee/* default */.c)(iteratee, 3); - (0,_baseForOwn/* default */.Z)(object, function(value, key, object) { - (0,_baseAssignValue/* default */.Z)(result, key, iteratee(value, key, object)); + (0,_baseForOwn/* default */.c)(object, function(value, key, object) { + (0,_baseAssignValue/* default */.c)(result, key, iteratee(value, key, object)); }); return result; } @@ -442,7 +442,7 @@ function mapValues(object, iteratee) { /* harmony default export */ const lodash_es_mapValues = (mapValues); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseLt.js /** * The base implementation of `_.lt` which doesn't coerce arguments. @@ -484,14 +484,14 @@ function baseLt(value, other) { */ function min(array) { return (array && array.length) - ? _baseExtremum(array, identity/* default */.Z, _baseLt) + ? _baseExtremum(array, identity/* default */.c, _baseLt) : undefined; } /* harmony default export */ const lodash_es_min = (min); // EXTERNAL MODULE: ./node_modules/lodash-es/_root.js -var _root = __webpack_require__(66092); +var _root = __webpack_require__(43936); ;// CONCATENATED MODULE: ./node_modules/lodash-es/now.js @@ -512,7 +512,7 @@ var _root = __webpack_require__(66092); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { - return _root/* default */.Z.Date.now(); + return _root/* default */.c.Date.now(); }; /* harmony default export */ const lodash_es_now = (now); @@ -529,7 +529,7 @@ var now = function() { function addDummyNode(g, type, attrs, name) { var v; do { - v = uniqueId/* default */.Z(name); + v = uniqueId/* default */.c(name); } while (g.hasNode(v)); attrs.dummy = type; @@ -542,11 +542,11 @@ function addDummyNode(g, type, attrs, name) { * associated with multi-edges. */ function simplify(g) { - var simplified = new graphlib/* Graph */.k().setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M().setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { simplified.setNode(v, g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var simpleLabel = simplified.edge(e.v, e.w) || { weight: 0, minlen: 1 }; var label = g.edge(e); simplified.setEdge(e.v, e.w, { @@ -558,13 +558,13 @@ function simplify(g) { } function asNonCompoundGraph(g) { - var simplified = new graphlib/* Graph */.k({ multigraph: g.isMultigraph() }).setGraph(g.graph()); - forEach/* default */.Z(g.nodes(), function (v) { + var simplified = new graphlib/* Graph */.M({ multigraph: g.isMultigraph() }).setGraph(g.graph()); + forEach/* default */.c(g.nodes(), function (v) { if (!g.children(v).length) { simplified.setNode(v, g.node(v)); } }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { simplified.setEdge(e, g.edge(e)); }); return simplified; @@ -636,13 +636,13 @@ function intersectRect(rect, point) { * function will produce a matrix with the ids of each node. */ function buildLayerMatrix(g) { - var layering = map/* default */.Z(range/* default */.Z(util_maxRank(g) + 1), function () { + var layering = map/* default */.c(range/* default */.c(util_maxRank(g) + 1), function () { return []; }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); var rank = node.rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { layering[rank][node.order] = v; } }); @@ -655,13 +655,13 @@ function buildLayerMatrix(g) { */ function normalizeRanks(g) { var min = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); - if (has/* default */.Z(node, 'rank')) { + if (has/* default */.c(node, 'rank')) { node.rank -= min; } }); @@ -670,13 +670,13 @@ function normalizeRanks(g) { function removeEmptyRanks(g) { // Ranks may not start at 0, so we need to offset them var offset = lodash_es_min( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { return g.node(v).rank; }) ); var layers = []; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank - offset; if (!layers[rank]) { layers[rank] = []; @@ -686,11 +686,11 @@ function removeEmptyRanks(g) { var delta = 0; var nodeRankFactor = g.graph().nodeRankFactor; - forEach/* default */.Z(layers, function (vs, i) { - if (isUndefined/* default */.Z(vs) && i % nodeRankFactor !== 0) { + forEach/* default */.c(layers, function (vs, i) { + if (isUndefined/* default */.c(vs) && i % nodeRankFactor !== 0) { --delta; } else if (delta) { - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { g.node(v).rank += delta; }); } @@ -711,9 +711,9 @@ function addBorderNode(g, prefix, rank, order) { function util_maxRank(g) { return lodash_es_max( - map/* default */.Z(g.nodes(), function (v) { + map/* default */.c(g.nodes(), function (v) { var rank = g.node(v).rank; - if (!isUndefined/* default */.Z(rank)) { + if (!isUndefined/* default */.c(rank)) { return rank; } }) @@ -727,7 +727,7 @@ function util_maxRank(g) { */ function partition(collection, fn) { var result = { lhs: [], rhs: [] }; - forEach/* default */.Z(collection, function (value) { + forEach/* default */.c(collection, function (value) { if (fn(value)) { result.lhs.push(value); } else { @@ -765,10 +765,10 @@ function addBorderSegments(g) { var children = g.children(v); var node = g.node(v); if (children.length) { - forEach/* default */.Z(children, dfs); + forEach/* default */.c(children, dfs); } - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { node.borderLeft = []; node.borderRight = []; for (var rank = node.minRank, maxRank = node.maxRank + 1; rank < maxRank; ++rank) { @@ -778,7 +778,7 @@ function addBorderSegments(g) { } } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); } function add_border_segments_addBorderNode(g, prop, prefix, sg, sgNode, rank) { @@ -817,10 +817,10 @@ function coordinate_system_undo(g) { } function swapWidthHeight(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapWidthHeightOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { swapWidthHeightOne(g.edge(e)); }); } @@ -832,14 +832,14 @@ function swapWidthHeightOne(attrs) { } function reverseY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { reverseYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, reverseYOne); - if (has/* default */.Z(edge, 'y')) { + forEach/* default */.c(edge.points, reverseYOne); + if (has/* default */.c(edge, 'y')) { reverseYOne(edge); } }); @@ -850,14 +850,14 @@ function reverseYOne(attrs) { } function swapXY(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { swapXYOne(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, swapXYOne); - if (has/* default */.Z(edge, 'x')) { + forEach/* default */.c(edge.points, swapXYOne); + if (has/* default */.c(edge, 'x')) { swapXYOne(edge); } }); @@ -893,7 +893,7 @@ function swapXYOne(attrs) { */ function normalize_run(g) { g.graph().dummyChains = []; - forEach/* default */.Z(g.edges(), function (edge) { + forEach/* default */.c(g.edges(), function (edge) { normalizeEdge(g, edge); }); } @@ -941,7 +941,7 @@ function normalizeEdge(g, e) { } function normalize_undo(g) { - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var origLabel = node.edgeLabel; var w; @@ -992,7 +992,7 @@ function normalize_undo(g) { */ function minBy(array, iteratee) { return (array && array.length) - ? _baseExtremum(array, (0,_baseIteratee/* default */.Z)(iteratee, 2), _baseLt) + ? _baseExtremum(array, (0,_baseIteratee/* default */.c)(iteratee, 2), _baseLt) : undefined; } @@ -1029,13 +1029,13 @@ function longestPath(g) { function dfs(v) { var label = g.node(v); - if (has/* default */.Z(visited, v)) { + if (has/* default */.c(visited, v)) { return label.rank; } visited[v] = true; var rank = lodash_es_min( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return dfs(e.w) - g.edge(e).minlen; }) ); @@ -1052,7 +1052,7 @@ function longestPath(g) { return (label.rank = rank); } - forEach/* default */.Z(g.sources(), dfs); + forEach/* default */.c(g.sources(), dfs); } /* @@ -1096,7 +1096,7 @@ function slack(g, e) { * edges. */ function feasibleTree(g) { - var t = new graphlib/* Graph */.k({ directed: false }); + var t = new graphlib/* Graph */.M({ directed: false }); // Choose arbitrary node from which to start our tree var start = g.nodes()[0]; @@ -1119,7 +1119,7 @@ function feasibleTree(g) { */ function tightTree(t, g) { function dfs(v) { - forEach/* default */.Z(g.nodeEdges(v), function (e) { + forEach/* default */.c(g.nodeEdges(v), function (e) { var edgeV = e.v, w = v === edgeV ? e.w : edgeV; if (!t.hasNode(w) && !slack(g, e)) { @@ -1130,7 +1130,7 @@ function tightTree(t, g) { }); } - forEach/* default */.Z(t.nodes(), dfs); + forEach/* default */.c(t.nodes(), dfs); return t.nodeCount(); } @@ -1147,15 +1147,15 @@ function findMinSlackEdge(t, g) { } function shiftRanks(t, g, delta) { - forEach/* default */.Z(t.nodes(), function (v) { + forEach/* default */.c(t.nodes(), function (v) { g.node(v).rank += delta; }); } // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createFind.js @@ -1171,9 +1171,9 @@ var keys = __webpack_require__(17179); function createFind(findIndexFunc) { return function(collection, predicate, fromIndex) { var iterable = Object(collection); - if (!(0,isArrayLike/* default */.Z)(collection)) { - var iteratee = (0,_baseIteratee/* default */.Z)(predicate, 3); - collection = (0,keys/* default */.Z)(collection); + if (!(0,isArrayLike/* default */.c)(collection)) { + var iteratee = (0,_baseIteratee/* default */.c)(predicate, 3); + collection = (0,keys/* default */.c)(collection); predicate = function(key) { return iteratee(iterable[key], key, iterable); }; } var index = findIndexFunc(collection, predicate, fromIndex); @@ -1184,9 +1184,9 @@ function createFind(findIndexFunc) { /* harmony default export */ const _createFind = (createFind); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toInteger.js @@ -1217,7 +1217,7 @@ var toFinite = __webpack_require__(94099); * // => 3 */ function toInteger(value) { - var result = (0,toFinite/* default */.Z)(value), + var result = (0,toFinite/* default */.c)(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; @@ -1277,7 +1277,7 @@ function findIndex(array, predicate, fromIndex) { if (index < 0) { index = nativeMax(length + index, 0); } - return (0,_baseFindIndex/* default */.Z)(array, (0,_baseIteratee/* default */.Z)(predicate, 3), index); + return (0,_baseFindIndex/* default */.c)(array, (0,_baseIteratee/* default */.c)(predicate, 3), index); } /* harmony default export */ const lodash_es_findIndex = (findIndex); @@ -1327,14 +1327,14 @@ var find = _createFind(lodash_es_findIndex); /* harmony default export */ const lodash_es_find = (find); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/dijkstra.js -var DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function dijkstra_dijkstra(g, source, weightFn, edgeFn) { return runDijkstra( @@ -1416,7 +1416,7 @@ function dijkstraAll(g, weightFunc, edgeFunc) { -var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.Z(1); +var floyd_warshall_DEFAULT_WEIGHT_FUNC = constant/* default */.c(1); function floydWarshall(g, weightFn, edgeFn) { return runFloydWarshall( @@ -1469,15 +1469,15 @@ function runFloydWarshall(g, weightFn, edgeFn) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseKeys.js + 1 modules -var _baseKeys = __webpack_require__(39473); +var _baseKeys = __webpack_require__(61376); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetTag.js + 2 modules -var _baseGetTag = __webpack_require__(93589); +var _baseGetTag = __webpack_require__(67724); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isString.js @@ -1505,13 +1505,13 @@ var stringTag = '[object String]'; */ function isString(value) { return typeof value == 'string' || - (!(0,isArray/* default */.Z)(value) && (0,isObjectLike/* default */.Z)(value) && (0,_baseGetTag/* default */.Z)(value) == stringTag); + (!(0,isArray/* default */.c)(value) && (0,isObjectLike/* default */.c)(value) && (0,_baseGetTag/* default */.c)(value) == stringTag); } /* harmony default export */ const lodash_es_isString = (isString); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_asciiSize.js @@ -1522,7 +1522,7 @@ var _baseProperty = __webpack_require__(54193); * @param {string} string The string inspect. * @returns {number} Returns the string size. */ -var asciiSize = (0,_baseProperty/* default */.Z)('length'); +var asciiSize = (0,_baseProperty/* default */.c)('length'); /* harmony default export */ const _asciiSize = (asciiSize); @@ -1656,14 +1656,14 @@ function size(collection) { if (collection == null) { return 0; } - if ((0,isArrayLike/* default */.Z)(collection)) { + if ((0,isArrayLike/* default */.c)(collection)) { return lodash_es_isString(collection) ? _stringSize(collection) : collection.length; } - var tag = (0,_getTag/* default */.Z)(collection); + var tag = (0,_getTag/* default */.c)(collection); if (tag == mapTag || tag == setTag) { return collection.size; } - return (0,_baseKeys/* default */.Z)(collection).length; + return (0,_baseKeys/* default */.c)(collection).length; } /* harmony default export */ const lodash_es_size = (size); @@ -1681,20 +1681,20 @@ function topsort_topsort(g) { var results = []; function visit(node) { - if (has/* default */.Z(stack, node)) { + if (has/* default */.c(stack, node)) { throw new topsort_CycleException(); } - if (!has/* default */.Z(visited, node)) { + if (!has/* default */.c(visited, node)) { stack[node] = true; visited[node] = true; - forEach/* default */.Z(g.predecessors(node), visit); + forEach/* default */.c(g.predecessors(node), visit); delete stack[node]; results.push(node); } } - forEach/* default */.Z(g.sinks(), visit); + forEach/* default */.c(g.sinks(), visit); if (lodash_es_size(visited) !== g.nodeCount()) { throw new topsort_CycleException(); @@ -1737,7 +1737,7 @@ function isAcyclic(g) { * Order must be one of "pre" or "post". */ function dfs(g, vs, order) { - if (!isArray/* default */.Z(vs)) { + if (!isArray/* default */.c(vs)) { vs = [vs]; } @@ -1745,7 +1745,7 @@ function dfs(g, vs, order) { var acc = []; var visited = {}; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (!g.hasNode(v)) { throw new Error('Graph does not have node: ' + v); } @@ -1756,13 +1756,13 @@ function dfs(g, vs, order) { } function doDfs(g, v, postorder, visited, navigation, acc) { - if (!has/* default */.Z(visited, v)) { + if (!has/* default */.c(visited, v)) { visited[v] = true; if (!postorder) { acc.push(v); } - forEach/* default */.Z(navigation(v), function (w) { + forEach/* default */.c(navigation(v), function (w) { doDfs(g, w, postorder, visited, navigation, acc); }); if (postorder) { @@ -1790,7 +1790,7 @@ function preorder(g, vs) { } // EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); +var graph = __webpack_require__(58048); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/alg/prim.js @@ -1930,7 +1930,7 @@ function networkSimplex(g) { function initCutValues(t, g) { var vs = postorder(t, t.nodes()); vs = vs.slice(0, vs.length - 1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { assignCutValue(t, g, v); }); } @@ -1962,7 +1962,7 @@ function calcCutValue(t, g, child) { cutValue = graphEdge.weight; - forEach/* default */.Z(g.nodeEdges(child), function (e) { + forEach/* default */.c(g.nodeEdges(child), function (e) { var isOutEdge = e.v === child, other = isOutEdge ? e.w : e.v; @@ -1993,8 +1993,8 @@ function dfsAssignLowLim(tree, visited, nextLim, v, parent) { var label = tree.node(v); visited[v] = true; - forEach/* default */.Z(tree.neighbors(v), function (w) { - if (!has/* default */.Z(visited, w)) { + forEach/* default */.c(tree.neighbors(v), function (w) { + if (!has/* default */.c(visited, w)) { nextLim = dfsAssignLowLim(tree, visited, nextLim, w, v); } }); @@ -2041,7 +2041,7 @@ function enterEdge(t, g, edge) { flip = true; } - var candidates = filter/* default */.Z(g.edges(), function (edge) { + var candidates = filter/* default */.c(g.edges(), function (edge) { return ( flip === isDescendant(t, t.node(edge.v), tailLabel) && flip !== isDescendant(t, t.node(edge.w), tailLabel) @@ -2069,7 +2069,7 @@ function updateRanks(t, g) { }); var vs = preorder(t, root); vs = vs.slice(1); - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var parent = t.node(v).parent, edge = g.edge(v, parent), flipped = false; @@ -2153,9 +2153,9 @@ function networkSimplexRanker(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/dagre/nesting-graph.js @@ -2188,13 +2188,13 @@ var reduce = __webpack_require__(92344); function nesting_graph_run(g) { var root = addDummyNode(g, 'root', {}, '_root'); var depths = treeDepths(g); - var height = lodash_es_max(values/* default */.Z(depths)) - 1; // Note: depths is an Object not an array + var height = lodash_es_max(values/* default */.c(depths)) - 1; // Note: depths is an Object not an array var nodeSep = 2 * height + 1; g.graph().nestingRoot = root; // Multiply minlen by nodeSep to align nodes on non-border ranks. - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { g.edge(e).minlen *= nodeSep; }); @@ -2202,7 +2202,7 @@ function nesting_graph_run(g) { var weight = sumWeights(g) + 1; // Create border nodes and link them up - forEach/* default */.Z(g.children(), function (child) { + forEach/* default */.c(g.children(), function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); }); @@ -2229,7 +2229,7 @@ function nesting_graph_dfs(g, root, nodeSep, weight, height, depths, v) { g.setParent(bottom, v); label.borderBottom = bottom; - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { nesting_graph_dfs(g, root, nodeSep, weight, height, depths, child); var childNode = g.node(child); @@ -2261,20 +2261,20 @@ function treeDepths(g) { function dfs(v, depth) { var children = g.children(v); if (children && children.length) { - forEach/* default */.Z(children, function (child) { + forEach/* default */.c(children, function (child) { dfs(child, depth + 1); }); } depths[v] = depth; } - forEach/* default */.Z(g.children(), function (v) { + forEach/* default */.c(g.children(), function (v) { dfs(v, 1); }); return depths; } function sumWeights(g) { - return reduce/* default */.Z( + return reduce/* default */.c( g.edges(), function (acc, e) { return acc + g.edge(e).weight; @@ -2287,7 +2287,7 @@ function cleanup(g) { var graphLabel = g.graph(); g.removeNode(graphLabel.nestingRoot); delete graphLabel.nestingRoot; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.nestingEdge) { g.removeEdge(e); @@ -2296,7 +2296,7 @@ function cleanup(g) { } // EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); +var _baseClone = __webpack_require__(48492); ;// CONCATENATED MODULE: ./node_modules/lodash-es/cloneDeep.js @@ -2323,7 +2323,7 @@ var CLONE_DEEP_FLAG = 1, * // => false */ function cloneDeep(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); + return (0,_baseClone/* default */.c)(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG); } /* harmony default export */ const lodash_es_cloneDeep = (cloneDeep); @@ -2337,7 +2337,7 @@ function addSubgraphConstraints(g, cg, vs) { var prev = {}, rootPrev; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { var child = g.parent(v), parent, prevChild; @@ -2421,13 +2421,13 @@ function addSubgraphConstraints(g, cg, vs) { */ function buildLayerGraph(g, rank, relationship) { var root = createRootNode(g), - result = new graphlib/* Graph */.k({ compound: true }) + result = new graphlib/* Graph */.M({ compound: true }) .setGraph({ root: root }) .setDefaultNodeLabel(function (v) { return g.node(v); }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v), parent = g.parent(v); @@ -2436,14 +2436,14 @@ function buildLayerGraph(g, rank, relationship) { result.setParent(v, parent || root); // This assumes we have only short edges! - forEach/* default */.Z(g[relationship](v), function (e) { + forEach/* default */.c(g[relationship](v), function (e) { var u = e.v === v ? e.w : e.v, edge = result.edge(u, v), - weight = !isUndefined/* default */.Z(edge) ? edge.weight : 0; + weight = !isUndefined/* default */.c(edge) ? edge.weight : 0; result.setEdge(u, v, { weight: g.edge(e).weight + weight }); }); - if (has/* default */.Z(node, 'minRank')) { + if (has/* default */.c(node, 'minRank')) { result.setNode(v, { borderLeft: node.borderLeft[rank], borderRight: node.borderRight[rank], @@ -2457,12 +2457,12 @@ function buildLayerGraph(g, rank, relationship) { function createRootNode(g) { var v; - while (g.hasNode((v = uniqueId/* default */.Z('_root')))); + while (g.hasNode((v = uniqueId/* default */.c('_root')))); return v; } // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseZipObject.js /** * This base implementation of `_.zipObject` which assigns values using `assignFunc`. @@ -2509,19 +2509,19 @@ function baseZipObject(props, values, assignFunc) { * // => { 'a': 1, 'b': 2 } */ function zipObject(props, values) { - return _baseZipObject(props || [], values || [], _assignValue/* default */.Z); + return _baseZipObject(props || [], values || [], _assignValue/* default */.c); } /* harmony default export */ const lodash_es_zipObject = (zipObject); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseMap.js -var _baseMap = __webpack_require__(21018); +var _baseMap = __webpack_require__(90360); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSortBy.js /** * The base implementation of `_.sortBy` which uses `comparer` to define the @@ -2546,7 +2546,7 @@ function baseSortBy(array, comparer) { /* harmony default export */ const _baseSortBy = (baseSortBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_compareAscending.js @@ -2563,12 +2563,12 @@ function compareAscending(value, other) { var valIsDefined = value !== undefined, valIsNull = value === null, valIsReflexive = value === value, - valIsSymbol = (0,isSymbol/* default */.Z)(value); + valIsSymbol = (0,isSymbol/* default */.c)(value); var othIsDefined = other !== undefined, othIsNull = other === null, othIsReflexive = other === other, - othIsSymbol = (0,isSymbol/* default */.Z)(other); + othIsSymbol = (0,isSymbol/* default */.c)(other); if ((!othIsNull && !othIsSymbol && !valIsSymbol && value > other) || (valIsSymbol && othIsDefined && othIsReflexive && !othIsNull && !othIsSymbol) || @@ -2658,23 +2658,23 @@ function compareMultiple(object, other, orders) { */ function baseOrderBy(collection, iteratees, orders) { if (iteratees.length) { - iteratees = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { - if ((0,isArray/* default */.Z)(iteratee)) { + iteratees = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { + if ((0,isArray/* default */.c)(iteratee)) { return function(value) { - return (0,_baseGet/* default */.Z)(value, iteratee.length === 1 ? iteratee[0] : iteratee); + return (0,_baseGet/* default */.c)(value, iteratee.length === 1 ? iteratee[0] : iteratee); } } return iteratee; }); } else { - iteratees = [identity/* default */.Z]; + iteratees = [identity/* default */.c]; } var index = -1; - iteratees = (0,_arrayMap/* default */.Z)(iteratees, (0,_baseUnary/* default */.Z)(_baseIteratee/* default */.Z)); + iteratees = (0,_arrayMap/* default */.c)(iteratees, (0,_baseUnary/* default */.c)(_baseIteratee/* default */.c)); - var result = (0,_baseMap/* default */.Z)(collection, function(value, key, collection) { - var criteria = (0,_arrayMap/* default */.Z)(iteratees, function(iteratee) { + var result = (0,_baseMap/* default */.c)(collection, function(value, key, collection) { + var criteria = (0,_arrayMap/* default */.c)(iteratees, function(iteratee) { return iteratee(value); }); return { 'criteria': criteria, 'index': ++index, 'value': value }; @@ -2688,9 +2688,9 @@ function baseOrderBy(collection, iteratees, orders) { /* harmony default export */ const _baseOrderBy = (baseOrderBy); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/sortBy.js @@ -2726,17 +2726,17 @@ var _isIterateeCall = __webpack_require__(50439); * _.sortBy(users, ['user', 'age']); * // => objects for [['barney', 34], ['barney', 36], ['fred', 30], ['fred', 48]] */ -var sortBy = (0,_baseRest/* default */.Z)(function(collection, iteratees) { +var sortBy = (0,_baseRest/* default */.c)(function(collection, iteratees) { if (collection == null) { return []; } var length = iteratees.length; - if (length > 1 && (0,_isIterateeCall/* default */.Z)(collection, iteratees[0], iteratees[1])) { + if (length > 1 && (0,_isIterateeCall/* default */.c)(collection, iteratees[0], iteratees[1])) { iteratees = []; - } else if (length > 2 && (0,_isIterateeCall/* default */.Z)(iteratees[0], iteratees[1], iteratees[2])) { + } else if (length > 2 && (0,_isIterateeCall/* default */.c)(iteratees[0], iteratees[1], iteratees[2])) { iteratees = [iteratees[0]]; } - return _baseOrderBy(collection, (0,_baseFlatten/* default */.Z)(iteratees, 1), []); + return _baseOrderBy(collection, (0,_baseFlatten/* default */.c)(iteratees, 1), []); }); /* harmony default export */ const lodash_es_sortBy = (sortBy); @@ -2776,14 +2776,14 @@ function twoLayerCrossCount(g, northLayer, southLayer) { // their head in the south layer. var southPos = lodash_es_zipObject( southLayer, - map/* default */.Z(southLayer, function (v, i) { + map/* default */.c(southLayer, function (v, i) { return i; }) ); - var southEntries = flatten/* default */.Z( - map/* default */.Z(northLayer, function (v) { + var southEntries = flatten/* default */.c( + map/* default */.c(northLayer, function (v) { return lodash_es_sortBy( - map/* default */.Z(g.outEdges(v), function (e) { + map/* default */.c(g.outEdges(v), function (e) { return { pos: southPos[e.w], weight: g.edge(e).weight }; }), 'pos' @@ -2796,13 +2796,13 @@ function twoLayerCrossCount(g, northLayer, southLayer) { while (firstIndex < southLayer.length) firstIndex <<= 1; var treeSize = 2 * firstIndex - 1; firstIndex -= 1; - var tree = map/* default */.Z(new Array(treeSize), function () { + var tree = map/* default */.c(new Array(treeSize), function () { return 0; }); // Calculate the weighted crossings var cc = 0; - forEach/* default */.Z( + forEach/* default */.c( // @ts-expect-error southEntries.forEach(function (entry) { var index = entry.pos + firstIndex; @@ -2843,30 +2843,30 @@ function twoLayerCrossCount(g, northLayer, southLayer) { */ function initOrder(g) { var visited = {}; - var simpleNodes = filter/* default */.Z(g.nodes(), function (v) { + var simpleNodes = filter/* default */.c(g.nodes(), function (v) { return !g.children(v).length; }); var maxRank = lodash_es_max( - map/* default */.Z(simpleNodes, function (v) { + map/* default */.c(simpleNodes, function (v) { return g.node(v).rank; }) ); - var layers = map/* default */.Z(range/* default */.Z(maxRank + 1), function () { + var layers = map/* default */.c(range/* default */.c(maxRank + 1), function () { return []; }); function dfs(v) { - if (has/* default */.Z(visited, v)) return; + if (has/* default */.c(visited, v)) return; visited[v] = true; var node = g.node(v); layers[node.rank].push(v); - forEach/* default */.Z(g.successors(v), dfs); + forEach/* default */.c(g.successors(v), dfs); } var orderedVs = lodash_es_sortBy(simpleNodes, function (v) { return g.node(v).rank; }); - forEach/* default */.Z(orderedVs, dfs); + forEach/* default */.c(orderedVs, dfs); return layers; } @@ -2877,12 +2877,12 @@ function initOrder(g) { function barycenter(g, movable) { - return map/* default */.Z(movable, function (v) { + return map/* default */.c(movable, function (v) { var inV = g.inEdges(v); if (!inV.length) { return { v: v }; } else { - var result = reduce/* default */.Z( + var result = reduce/* default */.c( inV, function (acc, e) { var edge = g.edge(e), @@ -2936,7 +2936,7 @@ function barycenter(g, movable) { */ function resolveConflicts(entries, cg) { var mappedEntries = {}; - forEach/* default */.Z(entries, function (entry, i) { + forEach/* default */.c(entries, function (entry, i) { var tmp = (mappedEntries[entry.v] = { indegree: 0, in: [], @@ -2944,7 +2944,7 @@ function resolveConflicts(entries, cg) { vs: [entry.v], i: i, }); - if (!isUndefined/* default */.Z(entry.barycenter)) { + if (!isUndefined/* default */.c(entry.barycenter)) { // @ts-expect-error tmp.barycenter = entry.barycenter; // @ts-expect-error @@ -2952,16 +2952,16 @@ function resolveConflicts(entries, cg) { } }); - forEach/* default */.Z(cg.edges(), function (e) { + forEach/* default */.c(cg.edges(), function (e) { var entryV = mappedEntries[e.v]; var entryW = mappedEntries[e.w]; - if (!isUndefined/* default */.Z(entryV) && !isUndefined/* default */.Z(entryW)) { + if (!isUndefined/* default */.c(entryV) && !isUndefined/* default */.c(entryW)) { entryW.indegree++; entryV.out.push(mappedEntries[e.w]); } }); - var sourceSet = filter/* default */.Z(mappedEntries, function (entry) { + var sourceSet = filter/* default */.c(mappedEntries, function (entry) { // @ts-expect-error return !entry.indegree; }); @@ -2978,8 +2978,8 @@ function doResolveConflicts(sourceSet) { return; } if ( - isUndefined/* default */.Z(uEntry.barycenter) || - isUndefined/* default */.Z(vEntry.barycenter) || + isUndefined/* default */.c(uEntry.barycenter) || + isUndefined/* default */.c(vEntry.barycenter) || uEntry.barycenter >= vEntry.barycenter ) { mergeEntries(vEntry, uEntry); @@ -2999,16 +2999,16 @@ function doResolveConflicts(sourceSet) { while (sourceSet.length) { var entry = sourceSet.pop(); entries.push(entry); - forEach/* default */.Z(entry['in'].reverse(), handleIn(entry)); - forEach/* default */.Z(entry.out, handleOut(entry)); + forEach/* default */.c(entry['in'].reverse(), handleIn(entry)); + forEach/* default */.c(entry.out, handleOut(entry)); } - return map/* default */.Z( - filter/* default */.Z(entries, function (entry) { + return map/* default */.c( + filter/* default */.c(entries, function (entry) { return !entry.merged; }), function (entry) { - return pick/* default */.Z(entry, ['vs', 'i', 'barycenter', 'weight']); + return pick/* default */.c(entry, ['vs', 'i', 'barycenter', 'weight']); } ); } @@ -3042,7 +3042,7 @@ function mergeEntries(target, source) { function sort(entries, biasRight) { var parts = partition(entries, function (entry) { - return has/* default */.Z(entry, 'barycenter'); + return has/* default */.c(entry, 'barycenter'); }); var sortable = parts.lhs, unsortable = lodash_es_sortBy(parts.rhs, function (entry) { @@ -3057,7 +3057,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); - forEach/* default */.Z(sortable, function (entry) { + forEach/* default */.c(sortable, function (entry) { vsIndex += entry.vs.length; vs.push(entry.vs); sum += entry.barycenter * entry.weight; @@ -3065,7 +3065,7 @@ function sort(entries, biasRight) { vsIndex = consumeUnsortable(vs, unsortable, vsIndex); }); - var result = { vs: flatten/* default */.Z(vs) }; + var result = { vs: flatten/* default */.c(vs) }; if (weight) { result.barycenter = sum / weight; result.weight = weight; @@ -3111,17 +3111,17 @@ function sortSubgraph(g, v, cg, biasRight) { var subgraphs = {}; if (bl) { - movable = filter/* default */.Z(movable, function (w) { + movable = filter/* default */.c(movable, function (w) { return w !== bl && w !== br; }); } var barycenters = barycenter(g, movable); - forEach/* default */.Z(barycenters, function (entry) { + forEach/* default */.c(barycenters, function (entry) { if (g.children(entry.v).length) { var subgraphResult = sortSubgraph(g, entry.v, cg, biasRight); subgraphs[entry.v] = subgraphResult; - if (has/* default */.Z(subgraphResult, 'barycenter')) { + if (has/* default */.c(subgraphResult, 'barycenter')) { mergeBarycenters(entry, subgraphResult); } } @@ -3133,11 +3133,11 @@ function sortSubgraph(g, v, cg, biasRight) { var result = sort(entries, biasRight); if (bl) { - result.vs = flatten/* default */.Z([bl, result.vs, br]); + result.vs = flatten/* default */.c([bl, result.vs, br]); if (g.predecessors(bl).length) { var blPred = g.node(g.predecessors(bl)[0]), brPred = g.node(g.predecessors(br)[0]); - if (!has/* default */.Z(result, 'barycenter')) { + if (!has/* default */.c(result, 'barycenter')) { result.barycenter = 0; result.weight = 0; } @@ -3151,8 +3151,8 @@ function sortSubgraph(g, v, cg, biasRight) { } function expandSubgraphs(entries, subgraphs) { - forEach/* default */.Z(entries, function (entry) { - entry.vs = flatten/* default */.Z( + forEach/* default */.c(entries, function (entry) { + entry.vs = flatten/* default */.c( entry.vs.map(function (v) { if (subgraphs[v]) { return subgraphs[v].vs; @@ -3164,7 +3164,7 @@ function expandSubgraphs(entries, subgraphs) { } function mergeBarycenters(target, other) { - if (!isUndefined/* default */.Z(target.barycenter)) { + if (!isUndefined/* default */.c(target.barycenter)) { target.barycenter = (target.barycenter * target.weight + other.barycenter * other.weight) / (target.weight + other.weight); @@ -3204,8 +3204,8 @@ function mergeBarycenters(target, other) { */ function order(g) { var maxRank = util_maxRank(g), - downLayerGraphs = buildLayerGraphs(g, range/* default */.Z(1, maxRank + 1), 'inEdges'), - upLayerGraphs = buildLayerGraphs(g, range/* default */.Z(maxRank - 1, -1, -1), 'outEdges'); + downLayerGraphs = buildLayerGraphs(g, range/* default */.c(1, maxRank + 1), 'inEdges'), + upLayerGraphs = buildLayerGraphs(g, range/* default */.c(maxRank - 1, -1, -1), 'outEdges'); var layering = initOrder(g); assignOrder(g, layering); @@ -3229,17 +3229,17 @@ function order(g) { } function buildLayerGraphs(g, ranks, relationship) { - return map/* default */.Z(ranks, function (rank) { + return map/* default */.c(ranks, function (rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { - var cg = new graphlib/* Graph */.k(); - forEach/* default */.Z(layerGraphs, function (lg) { + var cg = new graphlib/* Graph */.M(); + forEach/* default */.c(layerGraphs, function (lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); - forEach/* default */.Z(sorted.vs, function (v, i) { + forEach/* default */.c(sorted.vs, function (v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); @@ -3247,8 +3247,8 @@ function sweepLayerGraphs(layerGraphs, biasRight) { } function assignOrder(g, layering) { - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, i) { g.node(v).order = i; }); }); @@ -3262,7 +3262,7 @@ function assignOrder(g, layering) { function parentDummyChains(g) { var postorderNums = parent_dummy_chains_postorder(g); - forEach/* default */.Z(g.graph().dummyChains, function (v) { + forEach/* default */.c(g.graph().dummyChains, function (v) { var node = g.node(v); var edgeObj = node.edgeObj; var pathData = findPath(g, postorderNums, edgeObj.v, edgeObj.w); @@ -3334,16 +3334,16 @@ function parent_dummy_chains_postorder(g) { function dfs(v) { var low = lim; - forEach/* default */.Z(g.children(v), dfs); + forEach/* default */.c(g.children(v), dfs); result[v] = { low: low, lim: lim++ }; } - forEach/* default */.Z(g.children(), dfs); + forEach/* default */.c(g.children(), dfs); return result; } // EXTERNAL MODULE: ./node_modules/lodash-es/_castFunction.js -var _castFunction = __webpack_require__(68882); +var _castFunction = __webpack_require__(12176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forOwn.js @@ -3377,15 +3377,15 @@ var _castFunction = __webpack_require__(68882); * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forOwn(object, iteratee) { - return object && (0,_baseForOwn/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee)); + return object && (0,_baseForOwn/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee)); } /* harmony default export */ const lodash_es_forOwn = (forOwn); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFor.js + 1 modules -var _baseFor = __webpack_require__(61395); +var _baseFor = __webpack_require__(19004); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/forIn.js @@ -3422,7 +3422,7 @@ var keysIn = __webpack_require__(32957); function forIn(object, iteratee) { return object == null ? object - : (0,_baseFor/* default */.Z)(object, (0,_castFunction/* default */.Z)(iteratee), keysIn/* default */.Z); + : (0,_baseFor/* default */.c)(object, (0,_castFunction/* default */.c)(iteratee), keysIn/* default */.c); } /* harmony default export */ const lodash_es_forIn = (forIn); @@ -3469,13 +3469,13 @@ function findType1Conflicts(g, layering) { prevLayerLength = prevLayer.length, lastNode = lodash_es_last(layer); - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var w = findOtherInnerSegmentNode(g, v), k1 = w ? g.node(w).order : prevLayerLength; if (w || v === lastNode) { - forEach/* default */.Z(layer.slice(scanPos, i + 1), function (scanNode) { - forEach/* default */.Z(g.predecessors(scanNode), function (u) { + forEach/* default */.c(layer.slice(scanPos, i + 1), function (scanNode) { + forEach/* default */.c(g.predecessors(scanNode), function (u) { var uLabel = g.node(u), uPos = uLabel.order; if ((uPos < k0 || k1 < uPos) && !(uLabel.dummy && g.node(scanNode).dummy)) { @@ -3492,7 +3492,7 @@ function findType1Conflicts(g, layering) { return layer; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3501,10 +3501,10 @@ function findType2Conflicts(g, layering) { function scan(south, southPos, southEnd, prevNorthBorder, nextNorthBorder) { var v; - forEach/* default */.Z(range/* default */.Z(southPos, southEnd), function (i) { + forEach/* default */.c(range/* default */.c(southPos, southEnd), function (i) { v = south[i]; if (g.node(v).dummy) { - forEach/* default */.Z(g.predecessors(v), function (u) { + forEach/* default */.c(g.predecessors(v), function (u) { var uNode = g.node(u); if (uNode.dummy && (uNode.order < prevNorthBorder || uNode.order > nextNorthBorder)) { addConflict(conflicts, u, v); @@ -3519,7 +3519,7 @@ function findType2Conflicts(g, layering) { nextNorthPos, southPos = 0; - forEach/* default */.Z(south, function (v, southLookahead) { + forEach/* default */.c(south, function (v, southLookahead) { if (g.node(v).dummy === 'border') { var predecessors = g.predecessors(v); if (predecessors.length) { @@ -3536,7 +3536,7 @@ function findType2Conflicts(g, layering) { return south; } - reduce/* default */.Z(layering, visitLayer); + reduce/* default */.c(layering, visitLayer); return conflicts; } @@ -3568,7 +3568,7 @@ function hasConflict(conflicts, v, w) { v = w; w = tmp; } - return has/* default */.Z(conflicts[v], w); + return has/* default */.c(conflicts[v], w); } /* @@ -3587,17 +3587,17 @@ function verticalAlignment(g, layering, conflicts, neighborFn) { // We cache the position here based on the layering because the graph and // layering may be out of sync. The layering matrix is manipulated to // generate different extreme alignments. - forEach/* default */.Z(layering, function (layer) { - forEach/* default */.Z(layer, function (v, order) { + forEach/* default */.c(layering, function (layer) { + forEach/* default */.c(layer, function (v, order) { root[v] = v; align[v] = v; pos[v] = order; }); }); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var prevIdx = -1; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var ws = neighborFn(v); if (ws.length) { ws = lodash_es_sortBy(ws, function (w) { @@ -3669,7 +3669,7 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { iterate(pass2, blockG.successors.bind(blockG)); // Assign x coordinates to all nodes - forEach/* default */.Z(align, function (v) { + forEach/* default */.c(align, function (v) { xs[v] = xs[root[v]]; }); @@ -3677,13 +3677,13 @@ function horizontalCompaction(g, layering, root, align, reverseSep) { } function buildBlockGraph(g, layering, root, reverseSep) { - var blockGraph = new graphlib/* Graph */.k(), + var blockGraph = new graphlib/* Graph */.M(), graphLabel = g.graph(), sepFn = sep(graphLabel.nodesep, graphLabel.edgesep, reverseSep); - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var u; - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { var vRoot = root[v]; blockGraph.setNode(vRoot); if (u) { @@ -3702,7 +3702,7 @@ function buildBlockGraph(g, layering, root, reverseSep) { * Returns the alignment that has the smallest width of the given alignments. */ function findSmallestWidthAlignment(g, xss) { - return lodash_es_minBy(values/* default */.Z(xss), function (xs) { + return lodash_es_minBy(values/* default */.c(xss), function (xs) { var max = Number.NEGATIVE_INFINITY; var min = Number.POSITIVE_INFINITY; @@ -3725,18 +3725,18 @@ function findSmallestWidthAlignment(g, xss) { * coordinate of the smallest width alignment. */ function alignCoordinates(xss, alignTo) { - var alignToVals = values/* default */.Z(alignTo), + var alignToVals = values/* default */.c(alignTo), alignToMin = lodash_es_min(alignToVals), alignToMax = lodash_es_max(alignToVals); - forEach/* default */.Z(['u', 'd'], function (vert) { - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + forEach/* default */.c(['l', 'r'], function (horiz) { var alignment = vert + horiz, xs = xss[alignment], delta; if (xs === alignTo) return; - var xsVals = values/* default */.Z(xs); + var xsVals = values/* default */.c(xs); delta = horiz === 'l' ? alignToMin - lodash_es_min(xsVals) : alignToMax - lodash_es_max(xsVals); if (delta) { @@ -3753,7 +3753,7 @@ function balance(xss, align) { if (align) { return xss[align.toLowerCase()][v]; } else { - var xs = lodash_es_sortBy(map/* default */.Z(xss, v)); + var xs = lodash_es_sortBy(map/* default */.c(xss, v)); return (xs[1] + xs[2]) / 2; } }); @@ -3761,16 +3761,16 @@ function balance(xss, align) { function positionX(g) { var layering = buildLayerMatrix(g); - var conflicts = merge/* default */.Z(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); + var conflicts = merge/* default */.c(findType1Conflicts(g, layering), findType2Conflicts(g, layering)); var xss = {}; var adjustedLayering; - forEach/* default */.Z(['u', 'd'], function (vert) { - adjustedLayering = vert === 'u' ? layering : values/* default */.Z(layering).reverse(); - forEach/* default */.Z(['l', 'r'], function (horiz) { + forEach/* default */.c(['u', 'd'], function (vert) { + adjustedLayering = vert === 'u' ? layering : values/* default */.c(layering).reverse(); + forEach/* default */.c(['l', 'r'], function (horiz) { if (horiz === 'r') { - adjustedLayering = map/* default */.Z(adjustedLayering, function (inner) { - return values/* default */.Z(inner).reverse(); + adjustedLayering = map/* default */.c(adjustedLayering, function (inner) { + return values/* default */.c(inner).reverse(); }); } @@ -3799,7 +3799,7 @@ function sep(nodeSep, edgeSep, reverseSep) { var delta; sum += vLabel.width / 2; - if (has/* default */.Z(vLabel, 'labelpos')) { + if (has/* default */.c(vLabel, 'labelpos')) { switch (vLabel.labelpos.toLowerCase()) { case 'l': delta = -vLabel.width / 2; @@ -3818,7 +3818,7 @@ function sep(nodeSep, edgeSep, reverseSep) { sum += (wLabel.dummy ? edgeSep : nodeSep) / 2; sum += wLabel.width / 2; - if (has/* default */.Z(wLabel, 'labelpos')) { + if (has/* default */.c(wLabel, 'labelpos')) { switch (wLabel.labelpos.toLowerCase()) { case 'l': delta = wLabel.width / 2; @@ -3861,13 +3861,13 @@ function positionY(g) { var layering = buildLayerMatrix(g); var rankSep = g.graph().ranksep; var prevY = 0; - forEach/* default */.Z(layering, function (layer) { + forEach/* default */.c(layering, function (layer) { var maxHeight = lodash_es_max( - map/* default */.Z(layer, function (v) { + map/* default */.c(layer, function (v) { return g.node(v).height; }) ); - forEach/* default */.Z(layer, function (v) { + forEach/* default */.c(layer, function (v) { g.node(v).y = prevY + maxHeight / 2; }); prevY += maxHeight + rankSep; @@ -3996,7 +3996,7 @@ function runLayout(g, time) { * attributes can influence layout. */ function updateInputGraph(inputGraph, layoutGraph) { - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var inputLabel = inputGraph.node(v); var layoutLabel = layoutGraph.node(v); @@ -4011,12 +4011,12 @@ function updateInputGraph(inputGraph, layoutGraph) { } }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var inputLabel = inputGraph.edge(e); var layoutLabel = layoutGraph.edge(e); inputLabel.points = layoutLabel.points; - if (has/* default */.Z(layoutLabel, 'x')) { + if (has/* default */.c(layoutLabel, 'x')) { inputLabel.x = layoutLabel.x; inputLabel.y = layoutLabel.y; } @@ -4049,24 +4049,24 @@ var edgeAttrs = ['labelpos']; * attributes can influence layout. */ function buildLayoutGraph(inputGraph) { - var g = new graphlib/* Graph */.k({ multigraph: true, compound: true }); + var g = new graphlib/* Graph */.M({ multigraph: true, compound: true }); var graph = canonicalize(inputGraph.graph()); g.setGraph( - merge/* default */.Z({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.Z(graph, graphAttrs)) + merge/* default */.c({}, graphDefaults, selectNumberAttrs(graph, graphNumAttrs), pick/* default */.c(graph, graphAttrs)) ); - forEach/* default */.Z(inputGraph.nodes(), function (v) { + forEach/* default */.c(inputGraph.nodes(), function (v) { var node = canonicalize(inputGraph.node(v)); - g.setNode(v, defaults/* default */.Z(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); + g.setNode(v, defaults/* default */.c(selectNumberAttrs(node, nodeNumAttrs), nodeDefaults)); g.setParent(v, inputGraph.parent(v)); }); - forEach/* default */.Z(inputGraph.edges(), function (e) { + forEach/* default */.c(inputGraph.edges(), function (e) { var edge = canonicalize(inputGraph.edge(e)); g.setEdge( e, - merge/* default */.Z({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.Z(edge, edgeAttrs)) + merge/* default */.c({}, edgeDefaults, selectNumberAttrs(edge, edgeNumAttrs), pick/* default */.c(edge, edgeAttrs)) ); }); @@ -4084,7 +4084,7 @@ function buildLayoutGraph(inputGraph) { function makeSpaceForEdgeLabels(g) { var graph = g.graph(); graph.ranksep /= 2; - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); edge.minlen *= 2; if (edge.labelpos.toLowerCase() !== 'c') { @@ -4104,7 +4104,7 @@ function makeSpaceForEdgeLabels(g) { * label's position. */ function injectEdgeLabelProxies(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.width && edge.height) { var v = g.node(e.v); @@ -4117,7 +4117,7 @@ function injectEdgeLabelProxies(g) { function assignRankMinMax(g) { var maxRank = 0; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.borderTop) { node.minRank = g.node(node.borderTop).rank; @@ -4130,7 +4130,7 @@ function assignRankMinMax(g) { } function removeEdgeLabelProxies(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'edge-proxy') { g.edge(node.e).labelRank = node.rank; @@ -4159,12 +4159,12 @@ function translateGraph(g) { maxY = Math.max(maxY, y + h / 2); } - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { getExtremes(g.node(v)); }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { getExtremes(edge); } }); @@ -4172,22 +4172,22 @@ function translateGraph(g) { minX -= marginX; minY -= marginY; - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); node.x -= minX; node.y -= minY; }); - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - forEach/* default */.Z(edge.points, function (p) { + forEach/* default */.c(edge.points, function (p) { p.x -= minX; p.y -= minY; }); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { edge.x -= minX; } - if (has/* default */.Z(edge, 'y')) { + if (has/* default */.c(edge, 'y')) { edge.y -= minY; } }); @@ -4197,7 +4197,7 @@ function translateGraph(g) { } function assignNodeIntersects(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); var nodeV = g.node(e.v); var nodeW = g.node(e.w); @@ -4216,9 +4216,9 @@ function assignNodeIntersects(g) { } function fixupEdgeLabelCoords(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); - if (has/* default */.Z(edge, 'x')) { + if (has/* default */.c(edge, 'x')) { if (edge.labelpos === 'l' || edge.labelpos === 'r') { edge.width -= edge.labeloffset; } @@ -4235,7 +4235,7 @@ function fixupEdgeLabelCoords(g) { } function reversePointsForReversedEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { var edge = g.edge(e); if (edge.reversed) { edge.points.reverse(); @@ -4244,7 +4244,7 @@ function reversePointsForReversedEdges(g) { } function removeBorderNodes(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.children(v).length) { var node = g.node(v); var t = g.node(node.borderTop); @@ -4259,7 +4259,7 @@ function removeBorderNodes(g) { } }); - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { if (g.node(v).dummy === 'border') { g.removeNode(v); } @@ -4267,7 +4267,7 @@ function removeBorderNodes(g) { } function removeSelfEdges(g) { - forEach/* default */.Z(g.edges(), function (e) { + forEach/* default */.c(g.edges(), function (e) { if (e.v === e.w) { var node = g.node(e.v); if (!node.selfEdges) { @@ -4281,12 +4281,12 @@ function removeSelfEdges(g) { function insertSelfEdges(g) { var layers = buildLayerMatrix(g); - forEach/* default */.Z(layers, function (layer) { + forEach/* default */.c(layers, function (layer) { var orderShift = 0; - forEach/* default */.Z(layer, function (v, i) { + forEach/* default */.c(layer, function (v, i) { var node = g.node(v); node.order = i + orderShift; - forEach/* default */.Z(node.selfEdges, function (selfEdge) { + forEach/* default */.c(node.selfEdges, function (selfEdge) { addDummyNode( g, 'selfedge', @@ -4307,7 +4307,7 @@ function insertSelfEdges(g) { } function positionSelfEdges(g) { - forEach/* default */.Z(g.nodes(), function (v) { + forEach/* default */.c(g.nodes(), function (v) { var node = g.node(v); if (node.dummy === 'selfedge') { var selfNode = g.node(node.e.v); @@ -4331,12 +4331,12 @@ function positionSelfEdges(g) { } function selectNumberAttrs(obj, attrs) { - return lodash_es_mapValues(pick/* default */.Z(obj, attrs), Number); + return lodash_es_mapValues(pick/* default */.c(obj, attrs), Number); } function canonicalize(attrs) { var newAttrs = {}; - forEach/* default */.Z(attrs, function (v, k) { + forEach/* default */.c(attrs, function (v, k) { newAttrs[k.toLowerCase()] = v; }); return newAttrs; @@ -4353,39 +4353,39 @@ function canonicalize(attrs) { /***/ }), -/***/ 52544: +/***/ 58048: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - k: () => (/* binding */ Graph) + M: () => (/* binding */ Graph) }); // EXTERNAL MODULE: ./node_modules/lodash-es/has.js + 1 modules -var has = __webpack_require__(17452); +var has = __webpack_require__(7248); // EXTERNAL MODULE: ./node_modules/lodash-es/constant.js -var constant = __webpack_require__(62002); +var constant = __webpack_require__(11160); // EXTERNAL MODULE: ./node_modules/lodash-es/isFunction.js -var isFunction = __webpack_require__(73234); +var isFunction = __webpack_require__(59680); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); // EXTERNAL MODULE: ./node_modules/lodash-es/filter.js + 1 modules -var filter = __webpack_require__(13445); +var filter = __webpack_require__(55720); // EXTERNAL MODULE: ./node_modules/lodash-es/isEmpty.js -var isEmpty = __webpack_require__(79697); +var isEmpty = __webpack_require__(28796); // EXTERNAL MODULE: ./node_modules/lodash-es/forEach.js -var forEach = __webpack_require__(70870); +var forEach = __webpack_require__(50080); // EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); +var isUndefined = __webpack_require__(60372); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFlatten.js + 1 modules -var _baseFlatten = __webpack_require__(10626); +var _baseFlatten = __webpack_require__(40571); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseRest.js -var _baseRest = __webpack_require__(69581); +var _baseRest = __webpack_require__(34880); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseFindIndex.js -var _baseFindIndex = __webpack_require__(21692); +var _baseFindIndex = __webpack_require__(16428); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsNaN.js /** * The base implementation of `_.isNaN` without support for number objects. @@ -4442,7 +4442,7 @@ function strictIndexOf(array, value, fromIndex) { function baseIndexOf(array, value, fromIndex) { return value === value ? _strictIndexOf(array, value, fromIndex) - : (0,_baseFindIndex/* default */.Z)(array, _baseIsNaN, fromIndex); + : (0,_baseFindIndex/* default */.c)(array, _baseIsNaN, fromIndex); } /* harmony default export */ const _baseIndexOf = (baseIndexOf); @@ -4491,9 +4491,9 @@ function arrayIncludesWith(array, value, comparator) { /* harmony default export */ const _arrayIncludesWith = (arrayIncludesWith); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); // EXTERNAL MODULE: ./node_modules/lodash-es/_Set.js -var _Set = __webpack_require__(93203); +var _Set = __webpack_require__(61268); ;// CONCATENATED MODULE: ./node_modules/lodash-es/noop.js /** * This method returns `undefined`. @@ -4514,7 +4514,7 @@ function noop() { /* harmony default export */ const lodash_es_noop = (noop); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createSet.js @@ -4530,8 +4530,8 @@ var INFINITY = 1 / 0; * @param {Array} values The values to add to the set. * @returns {Object} Returns the new set. */ -var createSet = !(_Set/* default */.Z && (1 / (0,_setToArray/* default */.Z)(new _Set/* default */.Z([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { - return new _Set/* default */.Z(values); +var createSet = !(_Set/* default */.c && (1 / (0,_setToArray/* default */.c)(new _Set/* default */.c([,-0]))[1]) == INFINITY) ? lodash_es_noop : function(values) { + return new _Set/* default */.c(values); }; /* harmony default export */ const _createSet = (createSet); @@ -4571,11 +4571,11 @@ function baseUniq(array, iteratee, comparator) { else if (length >= LARGE_ARRAY_SIZE) { var set = iteratee ? null : _createSet(array); if (set) { - return (0,_setToArray/* default */.Z)(set); + return (0,_setToArray/* default */.c)(set); } isCommon = false; - includes = _cacheHas/* default */.Z; - seen = new _SetCache/* default */.Z; + includes = _cacheHas/* default */.c; + seen = new _SetCache/* default */.c; } else { seen = iteratee ? [] : result; @@ -4611,7 +4611,7 @@ function baseUniq(array, iteratee, comparator) { /* harmony default export */ const _baseUniq = (baseUniq); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLikeObject.js -var isArrayLikeObject = __webpack_require__(836); +var isArrayLikeObject = __webpack_require__(19724); ;// CONCATENATED MODULE: ./node_modules/lodash-es/union.js @@ -4634,16 +4634,16 @@ var isArrayLikeObject = __webpack_require__(836); * _.union([2], [1, 2]); * // => [2, 1] */ -var union = (0,_baseRest/* default */.Z)(function(arrays) { - return _baseUniq((0,_baseFlatten/* default */.Z)(arrays, 1, isArrayLikeObject/* default */.Z, true)); +var union = (0,_baseRest/* default */.c)(function(arrays) { + return _baseUniq((0,_baseFlatten/* default */.c)(arrays, 1, isArrayLikeObject/* default */.c, true)); }); /* harmony default export */ const lodash_es_union = (union); // EXTERNAL MODULE: ./node_modules/lodash-es/values.js + 1 modules -var values = __webpack_require__(34148); +var values = __webpack_require__(36); // EXTERNAL MODULE: ./node_modules/lodash-es/reduce.js + 2 modules -var reduce = __webpack_require__(92344); +var reduce = __webpack_require__(90460); ;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js @@ -4672,18 +4672,18 @@ var EDGE_KEY_DELIM = '\x01'; // we're going to get to a performant hashtable in JavaScript. class Graph { constructor(opts = {}) { - this._isDirected = has/* default */.Z(opts, 'directed') ? opts.directed : true; - this._isMultigraph = has/* default */.Z(opts, 'multigraph') ? opts.multigraph : false; - this._isCompound = has/* default */.Z(opts, 'compound') ? opts.compound : false; + this._isDirected = has/* default */.c(opts, 'directed') ? opts.directed : true; + this._isMultigraph = has/* default */.c(opts, 'multigraph') ? opts.multigraph : false; + this._isCompound = has/* default */.c(opts, 'compound') ? opts.compound : false; // Label for the graph itself this._label = undefined; // Defaults to be set when creating a new node - this._defaultNodeLabelFn = constant/* default */.Z(undefined); + this._defaultNodeLabelFn = constant/* default */.c(undefined); // Defaults to be set when creating a new edge - this._defaultEdgeLabelFn = constant/* default */.Z(undefined); + this._defaultEdgeLabelFn = constant/* default */.c(undefined); // v -> label this._nodes = {}; @@ -4734,8 +4734,8 @@ class Graph { } /* === Node functions ========== */ setDefaultNodeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultNodeLabelFn = newDefault; return this; @@ -4744,24 +4744,24 @@ class Graph { return this._nodeCount; } nodes() { - return keys/* default */.Z(this._nodes); + return keys/* default */.c(this._nodes); } sources() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._in[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._in[v]); }); } sinks() { var self = this; - return filter/* default */.Z(this.nodes(), function (v) { - return isEmpty/* default */.Z(self._out[v]); + return filter/* default */.c(this.nodes(), function (v) { + return isEmpty/* default */.c(self._out[v]); }); } setNodes(vs, value) { var args = arguments; var self = this; - forEach/* default */.Z(vs, function (v) { + forEach/* default */.c(vs, function (v) { if (args.length > 1) { self.setNode(v, value); } else { @@ -4771,7 +4771,7 @@ class Graph { return this; } setNode(v, value) { - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { if (arguments.length > 1) { this._nodes[v] = value; } @@ -4796,11 +4796,11 @@ class Graph { return this._nodes[v]; } hasNode(v) { - return has/* default */.Z(this._nodes, v); + return has/* default */.c(this._nodes, v); } removeNode(v) { var self = this; - if (has/* default */.Z(this._nodes, v)) { + if (has/* default */.c(this._nodes, v)) { var removeEdge = function (e) { self.removeEdge(self._edgeObjs[e]); }; @@ -4808,15 +4808,15 @@ class Graph { if (this._isCompound) { this._removeFromParentsChildList(v); delete this._parent[v]; - forEach/* default */.Z(this.children(v), function (child) { + forEach/* default */.c(this.children(v), function (child) { self.setParent(child); }); delete this._children[v]; } - forEach/* default */.Z(keys/* default */.Z(this._in[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._in[v]), removeEdge); delete this._in[v]; delete this._preds[v]; - forEach/* default */.Z(keys/* default */.Z(this._out[v]), removeEdge); + forEach/* default */.c(keys/* default */.c(this._out[v]), removeEdge); delete this._out[v]; delete this._sucs[v]; --this._nodeCount; @@ -4828,12 +4828,12 @@ class Graph { throw new Error('Cannot set parent in a non-compound graph'); } - if (isUndefined/* default */.Z(parent)) { + if (isUndefined/* default */.c(parent)) { parent = GRAPH_NODE; } else { // Coerce parent to string parent += ''; - for (var ancestor = parent; !isUndefined/* default */.Z(ancestor); ancestor = this.parent(ancestor)) { + for (var ancestor = parent; !isUndefined/* default */.c(ancestor); ancestor = this.parent(ancestor)) { if (ancestor === v) { throw new Error('Setting ' + parent + ' as parent of ' + v + ' would create a cycle'); } @@ -4860,14 +4860,14 @@ class Graph { } } children(v) { - if (isUndefined/* default */.Z(v)) { + if (isUndefined/* default */.c(v)) { v = GRAPH_NODE; } if (this._isCompound) { var children = this._children[v]; if (children) { - return keys/* default */.Z(children); + return keys/* default */.c(children); } } else if (v === GRAPH_NODE) { return this.nodes(); @@ -4878,13 +4878,13 @@ class Graph { predecessors(v) { var predsV = this._preds[v]; if (predsV) { - return keys/* default */.Z(predsV); + return keys/* default */.c(predsV); } } successors(v) { var sucsV = this._sucs[v]; if (sucsV) { - return keys/* default */.Z(sucsV); + return keys/* default */.c(sucsV); } } neighbors(v) { @@ -4913,13 +4913,13 @@ class Graph { copy.setGraph(this.graph()); var self = this; - forEach/* default */.Z(this._nodes, function (value, v) { + forEach/* default */.c(this._nodes, function (value, v) { if (filter(v)) { copy.setNode(v, value); } }); - forEach/* default */.Z(this._edgeObjs, function (e) { + forEach/* default */.c(this._edgeObjs, function (e) { // @ts-expect-error if (copy.hasNode(e.v) && copy.hasNode(e.w)) { copy.setEdge(e, self.edge(e)); @@ -4940,7 +4940,7 @@ class Graph { } if (this._isCompound) { - forEach/* default */.Z(copy.nodes(), function (v) { + forEach/* default */.c(copy.nodes(), function (v) { copy.setParent(v, findParent(v)); }); } @@ -4949,8 +4949,8 @@ class Graph { } /* === Edge functions ========== */ setDefaultEdgeLabel(newDefault) { - if (!isFunction/* default */.Z(newDefault)) { - newDefault = constant/* default */.Z(newDefault); + if (!isFunction/* default */.c(newDefault)) { + newDefault = constant/* default */.c(newDefault); } this._defaultEdgeLabelFn = newDefault; return this; @@ -4959,12 +4959,12 @@ class Graph { return this._edgeCount; } edges() { - return values/* default */.Z(this._edgeObjs); + return values/* default */.c(this._edgeObjs); } setPath(vs, value) { var self = this; var args = arguments; - reduce/* default */.Z(vs, function (v, w) { + reduce/* default */.c(vs, function (v, w) { if (args.length > 1) { self.setEdge(v, w, value); } else { @@ -5003,19 +5003,19 @@ class Graph { v = '' + v; w = '' + w; - if (!isUndefined/* default */.Z(name)) { + if (!isUndefined/* default */.c(name)) { name = '' + name; } var e = edgeArgsToId(this._isDirected, v, w, name); - if (has/* default */.Z(this._edgeLabels, e)) { + if (has/* default */.c(this._edgeLabels, e)) { if (valueSpecified) { this._edgeLabels[e] = value; } return this; } - if (!isUndefined/* default */.Z(name) && !this._isMultigraph) { + if (!isUndefined/* default */.c(name) && !this._isMultigraph) { throw new Error('Cannot set a named edge when isMultigraph = false'); } @@ -5053,7 +5053,7 @@ class Graph { arguments.length === 1 ? edgeObjToId(this._isDirected, arguments[0]) : edgeArgsToId(this._isDirected, v, w, name); - return has/* default */.Z(this._edgeLabels, e); + return has/* default */.c(this._edgeLabels, e); } removeEdge(v, w, name) { var e = @@ -5077,11 +5077,11 @@ class Graph { inEdges(v, u) { var inV = this._in[v]; if (inV) { - var edges = values/* default */.Z(inV); + var edges = values/* default */.c(inV); if (!u) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.v === u; }); } @@ -5089,11 +5089,11 @@ class Graph { outEdges(v, w) { var outV = this._out[v]; if (outV) { - var edges = values/* default */.Z(outV); + var edges = values/* default */.c(outV); if (!w) { return edges; } - return filter/* default */.Z(edges, function (edge) { + return filter/* default */.c(edges, function (edge) { return edge.w === w; }); } @@ -5134,7 +5134,7 @@ function edgeArgsToId(isDirected, v_, w_, name) { v = w; w = tmp; } - return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.Z(name) ? DEFAULT_EDGE_NAME : name); + return v + EDGE_KEY_DELIM + w + EDGE_KEY_DELIM + (isUndefined/* default */.c(name) ? DEFAULT_EDGE_NAME : name); } function edgeArgsToObj(isDirected, v_, w_, name) { @@ -5159,14 +5159,14 @@ function edgeObjToId(isDirected, edgeObj) { /***/ }), -/***/ 45625: +/***/ 95536: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ k: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.k) +/* harmony export */ M: () => (/* reexport safe */ _graph_js__WEBPACK_IMPORTED_MODULE_0__.M) /* harmony export */ }); /* unused harmony export version */ -/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(52544); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); // Includes only the "core" of graphlib @@ -5178,64 +5178,17 @@ const version = '2.1.9-pre'; /***/ }), -/***/ 39354: +/***/ 41520: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { - -// EXPORTS -__webpack_require__.d(__webpack_exports__, { - c: () => (/* binding */ write) -}); - -// UNUSED EXPORTS: read - -// EXTERNAL MODULE: ./node_modules/lodash-es/isUndefined.js -var isUndefined = __webpack_require__(49360); -// EXTERNAL MODULE: ./node_modules/lodash-es/_baseClone.js + 15 modules -var _baseClone = __webpack_require__(48451); -;// CONCATENATED MODULE: ./node_modules/lodash-es/clone.js - - -/** Used to compose bitmasks for cloning. */ -var CLONE_SYMBOLS_FLAG = 4; - -/** - * Creates a shallow clone of `value`. - * - * **Note:** This method is loosely based on the - * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) - * and supports cloning arrays, array buffers, booleans, date objects, maps, - * numbers, `Object` objects, regexes, sets, strings, symbols, and typed - * arrays. The own enumerable properties of `arguments` objects are cloned - * as plain objects. An empty object is returned for uncloneable values such - * as error objects, functions, DOM nodes, and WeakMaps. - * - * @static - * @memberOf _ - * @since 0.1.0 - * @category Lang - * @param {*} value The value to clone. - * @returns {*} Returns the cloned value. - * @see _.cloneDeep - * @example - * - * var objects = [{ 'a': 1 }, { 'b': 2 }]; - * - * var shallow = _.clone(objects); - * console.log(shallow[0] === objects[0]); - * // => true - */ -function clone(value) { - return (0,_baseClone/* default */.Z)(value, CLONE_SYMBOLS_FLAG); -} - -/* harmony default export */ const lodash_es_clone = (clone); - -// EXTERNAL MODULE: ./node_modules/lodash-es/map.js -var map = __webpack_require__(43836); -// EXTERNAL MODULE: ./node_modules/dagre-d3-es/src/graphlib/graph.js + 9 modules -var graph = __webpack_require__(52544); -;// CONCATENATED MODULE: ./node_modules/dagre-d3-es/src/graphlib/json.js +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ G: () => (/* binding */ write) +/* harmony export */ }); +/* unused harmony export read */ +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(60372); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(77784); +/* harmony import */ var lodash_es__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(92696); +/* harmony import */ var _graph_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58048); @@ -5251,21 +5204,21 @@ function write(g) { nodes: writeNodes(g), edges: writeEdges(g), }; - if (!isUndefined/* default */.Z(g.graph())) { - json.value = lodash_es_clone(g.graph()); + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(g.graph())) { + json.value = lodash_es__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c(g.graph()); } return json; } function writeNodes(g) { - return map/* default */.Z(g.nodes(), function (v) { + return lodash_es__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c(g.nodes(), function (v) { var nodeValue = g.node(v); var parent = g.parent(v); var node = { v: v }; - if (!isUndefined/* default */.Z(nodeValue)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(nodeValue)) { node.value = nodeValue; } - if (!isUndefined/* default */.Z(parent)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(parent)) { node.parent = parent; } return node; @@ -5273,13 +5226,13 @@ function writeNodes(g) { } function writeEdges(g) { - return map/* default */.Z(g.edges(), function (e) { + return lodash_es__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c(g.edges(), function (e) { var edgeValue = g.edge(e); var edge = { v: e.v, w: e.w }; - if (!isUndefined/* default */.Z(e.name)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(e.name)) { edge.name = e.name; } - if (!isUndefined/* default */.Z(edgeValue)) { + if (!lodash_es__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c(edgeValue)) { edge.value = edgeValue; } return edge; @@ -5303,17 +5256,17 @@ function read(json) { /***/ }), -/***/ 63001: +/***/ 34528: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _SetCache) + c: () => (/* binding */ _SetCache) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_MapCache.js + 14 modules -var _MapCache = __webpack_require__(37834); +var _MapCache = __webpack_require__(86320); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_setCacheAdd.js /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; @@ -5368,7 +5321,7 @@ function SetCache(values) { var index = -1, length = values == null ? 0 : values.length; - this.__data__ = new _MapCache/* default */.Z; + this.__data__ = new _MapCache/* default */.c; while (++index < length) { this.add(values[index]); } @@ -5383,11 +5336,11 @@ SetCache.prototype.has = _setCacheHas; /***/ }), -/***/ 76579: +/***/ 56812: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.forEach` for arrays without support for @@ -5415,11 +5368,11 @@ function arrayEach(array, iteratee) { /***/ }), -/***/ 68774: +/***/ 46091: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.filter` for arrays without support for @@ -5450,11 +5403,11 @@ function arrayFilter(array, predicate) { /***/ }), -/***/ 74073: +/***/ 1304: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * A specialized version of `_.map` for arrays without support for iteratee @@ -5481,11 +5434,11 @@ function arrayMap(array, iteratee) { /***/ }), -/***/ 58694: +/***/ 25072: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Appends the elements of `values` to `array`. @@ -5511,25 +5464,25 @@ function arrayPush(array, values) { /***/ }), -/***/ 48451: +/***/ 48492: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseClone) + c: () => (/* binding */ _baseClone) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayEach.js -var _arrayEach = __webpack_require__(76579); +var _arrayEach = __webpack_require__(56812); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyObject.js -var _copyObject = __webpack_require__(31899); +var _copyObject = __webpack_require__(58904); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssign.js @@ -5544,13 +5497,13 @@ var keys = __webpack_require__(17179); * @returns {Object} Returns `object`. */ function baseAssign(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keys/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keys/* default */.c)(source), object); } /* harmony default export */ const _baseAssign = (baseAssign); // EXTERNAL MODULE: ./node_modules/lodash-es/keysIn.js + 2 modules -var keysIn = __webpack_require__(32957); +var keysIn = __webpack_require__(97000); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseAssignIn.js @@ -5565,17 +5518,17 @@ var keysIn = __webpack_require__(32957); * @returns {Object} Returns `object`. */ function baseAssignIn(object, source) { - return object && (0,_copyObject/* default */.Z)(source, (0,keysIn/* default */.Z)(source), object); + return object && (0,_copyObject/* default */.c)(source, (0,keysIn/* default */.c)(source), object); } /* harmony default export */ const _baseAssignIn = (baseAssignIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneBuffer.js -var _cloneBuffer = __webpack_require__(91050); +var _cloneBuffer = __webpack_require__(86656); // EXTERNAL MODULE: ./node_modules/lodash-es/_copyArray.js -var _copyArray = __webpack_require__(87215); +var _copyArray = __webpack_require__(32488); // EXTERNAL MODULE: ./node_modules/lodash-es/_getSymbols.js -var _getSymbols = __webpack_require__(95695); +var _getSymbols = __webpack_require__(10772); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_copySymbols.js @@ -5589,17 +5542,17 @@ var _getSymbols = __webpack_require__(95695); * @returns {Object} Returns `object`. */ function copySymbols(source, object) { - return (0,_copyObject/* default */.Z)(source, (0,_getSymbols/* default */.Z)(source), object); + return (0,_copyObject/* default */.c)(source, (0,_getSymbols/* default */.c)(source), object); } /* harmony default export */ const _copySymbols = (copySymbols); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_getPrototype.js -var _getPrototype = __webpack_require__(12513); +var _getPrototype = __webpack_require__(75388); // EXTERNAL MODULE: ./node_modules/lodash-es/stubArray.js -var stubArray = __webpack_require__(60532); +var stubArray = __webpack_require__(41716); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getSymbolsIn.js @@ -5616,11 +5569,11 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(object) { +var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.c : function(object) { var result = []; while (object) { - (0,_arrayPush/* default */.Z)(result, (0,_getSymbols/* default */.Z)(object)); - object = (0,_getPrototype/* default */.Z)(object); + (0,_arrayPush/* default */.c)(result, (0,_getSymbols/* default */.c)(object)); + object = (0,_getPrototype/* default */.c)(object); } return result; }; @@ -5640,15 +5593,15 @@ var getSymbolsIn = !nativeGetSymbols ? stubArray/* default */.Z : function(objec * @returns {Object} Returns `object`. */ function copySymbolsIn(source, object) { - return (0,_copyObject/* default */.Z)(source, _getSymbolsIn(source), object); + return (0,_copyObject/* default */.c)(source, _getSymbolsIn(source), object); } /* harmony default export */ const _copySymbolsIn = (copySymbolsIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGetAllKeys.js -var _baseGetAllKeys = __webpack_require__(63327); +var _baseGetAllKeys = __webpack_require__(30176); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getAllKeysIn.js @@ -5663,13 +5616,13 @@ var _baseGetAllKeys = __webpack_require__(63327); * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { - return (0,_baseGetAllKeys/* default */.Z)(object, keysIn/* default */.Z, _getSymbolsIn); + return (0,_baseGetAllKeys/* default */.c)(object, keysIn/* default */.c, _getSymbolsIn); } /* harmony default export */ const _getAllKeysIn = (getAllKeysIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneArray.js /** Used for built-in method references. */ var objectProto = Object.prototype; @@ -5699,7 +5652,7 @@ function initCloneArray(array) { /* harmony default export */ const _initCloneArray = (initCloneArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneArrayBuffer.js -var _cloneArrayBuffer = __webpack_require__(41884); +var _cloneArrayBuffer = __webpack_require__(40976); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneDataView.js @@ -5712,7 +5665,7 @@ var _cloneArrayBuffer = __webpack_require__(41884); * @returns {Object} Returns the cloned data view. */ function cloneDataView(dataView, isDeep) { - var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.Z)(dataView.buffer) : dataView.buffer; + var buffer = isDeep ? (0,_cloneArrayBuffer/* default */.c)(dataView.buffer) : dataView.buffer; return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength); } @@ -5738,12 +5691,12 @@ function cloneRegExp(regexp) { /* harmony default export */ const _cloneRegExp = (cloneRegExp); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_cloneSymbol.js /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -5760,7 +5713,7 @@ function cloneSymbol(symbol) { /* harmony default export */ const _cloneSymbol = (cloneSymbol); // EXTERNAL MODULE: ./node_modules/lodash-es/_cloneTypedArray.js -var _cloneTypedArray = __webpack_require__(12701); +var _cloneTypedArray = __webpack_require__(70552); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_initCloneByTag.js @@ -5806,7 +5759,7 @@ function initCloneByTag(object, tag, isDeep) { var Ctor = object.constructor; switch (tag) { case arrayBufferTag: - return (0,_cloneArrayBuffer/* default */.Z)(object); + return (0,_cloneArrayBuffer/* default */.c)(object); case boolTag: case dateTag: @@ -5818,7 +5771,7 @@ function initCloneByTag(object, tag, isDeep) { case float32Tag: case float64Tag: case int8Tag: case int16Tag: case int32Tag: case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag: - return (0,_cloneTypedArray/* default */.Z)(object, isDeep); + return (0,_cloneTypedArray/* default */.c)(object, isDeep); case mapTag: return new Ctor; @@ -5841,13 +5794,13 @@ function initCloneByTag(object, tag, isDeep) { /* harmony default export */ const _initCloneByTag = (initCloneByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_initCloneObject.js + 1 modules -var _initCloneObject = __webpack_require__(73658); +var _initCloneObject = __webpack_require__(1684); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsMap.js @@ -5863,22 +5816,22 @@ var _baseIsMap_mapTag = '[object Map]'; * @returns {boolean} Returns `true` if `value` is a map, else `false`. */ function baseIsMap(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsMap_mapTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsMap_mapTag; } /* harmony default export */ const _baseIsMap = (baseIsMap); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseUnary.js -var _baseUnary = __webpack_require__(21162); +var _baseUnary = __webpack_require__(71180); // EXTERNAL MODULE: ./node_modules/lodash-es/_nodeUtil.js -var _nodeUtil = __webpack_require__(98351); +var _nodeUtil = __webpack_require__(17576); ;// CONCATENATED MODULE: ./node_modules/lodash-es/isMap.js /* Node.js helper references. */ -var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; +var nodeIsMap = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isMap; /** * Checks if `value` is classified as a `Map` object. @@ -5897,12 +5850,12 @@ var nodeIsMap = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isMap; * _.isMap(new WeakMap); * // => false */ -var isMap = nodeIsMap ? (0,_baseUnary/* default */.Z)(nodeIsMap) : _baseIsMap; +var isMap = nodeIsMap ? (0,_baseUnary/* default */.c)(nodeIsMap) : _baseIsMap; /* harmony default export */ const lodash_es_isMap = (isMap); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsSet.js @@ -5918,7 +5871,7 @@ var _baseIsSet_setTag = '[object Set]'; * @returns {boolean} Returns `true` if `value` is a set, else `false`. */ function baseIsSet(value) { - return (0,isObjectLike/* default */.Z)(value) && (0,_getTag/* default */.Z)(value) == _baseIsSet_setTag; + return (0,isObjectLike/* default */.c)(value) && (0,_getTag/* default */.c)(value) == _baseIsSet_setTag; } /* harmony default export */ const _baseIsSet = (baseIsSet); @@ -5929,7 +5882,7 @@ function baseIsSet(value) { /* Node.js helper references. */ -var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; +var nodeIsSet = _nodeUtil/* default */.c && _nodeUtil/* default */.c.isSet; /** * Checks if `value` is classified as a `Set` object. @@ -5948,7 +5901,7 @@ var nodeIsSet = _nodeUtil/* default */.Z && _nodeUtil/* default */.Z.isSet; * _.isSet(new WeakSet); * // => false */ -var isSet = nodeIsSet ? (0,_baseUnary/* default */.Z)(nodeIsSet) : _baseIsSet; +var isSet = nodeIsSet ? (0,_baseUnary/* default */.c)(nodeIsSet) : _baseIsSet; /* harmony default export */ const lodash_es_isSet = (isSet); @@ -6054,24 +6007,24 @@ function baseClone(value, bitmask, customizer, key, object, stack) { if (result !== undefined) { return result; } - if (!(0,isObject/* default */.Z)(value)) { + if (!(0,isObject/* default */.c)(value)) { return value; } - var isArr = (0,isArray/* default */.Z)(value); + var isArr = (0,isArray/* default */.c)(value); if (isArr) { result = _initCloneArray(value); if (!isDeep) { - return (0,_copyArray/* default */.Z)(value, result); + return (0,_copyArray/* default */.c)(value, result); } } else { - var tag = (0,_getTag/* default */.Z)(value), + var tag = (0,_getTag/* default */.c)(value), isFunc = tag == funcTag || tag == genTag; - if ((0,isBuffer/* default */.Z)(value)) { - return (0,_cloneBuffer/* default */.Z)(value, isDeep); + if ((0,isBuffer/* default */.c)(value)) { + return (0,_cloneBuffer/* default */.c)(value, isDeep); } if (tag == objectTag || tag == argsTag || (isFunc && !object)) { - result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.Z)(value); + result = (isFlat || isFunc) ? {} : (0,_initCloneObject/* default */.c)(value); if (!isDeep) { return isFlat ? _copySymbolsIn(value, _baseAssignIn(result, value)) @@ -6085,7 +6038,7 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } } // Check for circular references and return its corresponding clone. - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); var stacked = stack.get(value); if (stacked) { return stacked; @@ -6103,17 +6056,17 @@ function baseClone(value, bitmask, customizer, key, object, stack) { } var keysFunc = isFull - ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.Z) - : (isFlat ? keysIn/* default */.Z : keys/* default */.Z); + ? (isFlat ? _getAllKeysIn : _getAllKeys/* default */.c) + : (isFlat ? keysIn/* default */.c : keys/* default */.c); var props = isArr ? undefined : keysFunc(value); - (0,_arrayEach/* default */.Z)(props || value, function(subValue, key) { + (0,_arrayEach/* default */.c)(props || value, function(subValue, key) { if (props) { key = subValue; subValue = value[key]; } // Recursively populate clone (susceptible to call stack limits). - (0,_assignValue/* default */.Z)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); + (0,_assignValue/* default */.c)(result, key, baseClone(subValue, bitmask, customizer, key, value, stack)); }); return result; } @@ -6123,19 +6076,19 @@ function baseClone(value, bitmask, customizer, key, object, stack) { /***/ }), -/***/ 49811: +/***/ 92816: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseEach) + c: () => (/* binding */ _baseEach) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseForOwn.js -var _baseForOwn = __webpack_require__(2693); +var _baseForOwn = __webpack_require__(79985); // EXTERNAL MODULE: ./node_modules/lodash-es/isArrayLike.js -var isArrayLike = __webpack_require__(50585); +var isArrayLike = __webpack_require__(42440); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createBaseEach.js @@ -6152,7 +6105,7 @@ function createBaseEach(eachFunc, fromRight) { if (collection == null) { return collection; } - if (!(0,isArrayLike/* default */.Z)(collection)) { + if (!(0,isArrayLike/* default */.c)(collection)) { return eachFunc(collection, iteratee); } var length = collection.length, @@ -6182,18 +6135,18 @@ function createBaseEach(eachFunc, fromRight) { * @param {Function} iteratee The function invoked per iteration. * @returns {Array|Object} Returns `collection`. */ -var baseEach = _createBaseEach(_baseForOwn/* default */.Z); +var baseEach = _createBaseEach(_baseForOwn/* default */.c); /* harmony default export */ const _baseEach = (baseEach); /***/ }), -/***/ 21692: +/***/ 16428: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.findIndex` and `_.findLastIndex` without @@ -6223,30 +6176,30 @@ function baseFindIndex(array, predicate, fromIndex, fromRight) { /***/ }), -/***/ 10626: +/***/ 40571: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseFlatten) + c: () => (/* binding */ _baseFlatten) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayPush.js -var _arrayPush = __webpack_require__(58694); +var _arrayPush = __webpack_require__(25072); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/isArguments.js + 1 modules -var isArguments = __webpack_require__(29169); +var isArguments = __webpack_require__(59636); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isFlattenable.js /** Built-in value references. */ -var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatSpreadable : undefined; +var spreadableSymbol = _Symbol/* default */.c ? _Symbol/* default */.c.isConcatSpreadable : undefined; /** * Checks if `value` is a flattenable `arguments` object or array. @@ -6256,7 +6209,7 @@ var spreadableSymbol = _Symbol/* default */.Z ? _Symbol/* default */.Z.isConcatS * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { - return (0,isArray/* default */.Z)(value) || (0,isArguments/* default */.Z)(value) || + return (0,isArray/* default */.c)(value) || (0,isArguments/* default */.c)(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } @@ -6291,7 +6244,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { - (0,_arrayPush/* default */.Z)(result, value); + (0,_arrayPush/* default */.c)(result, value); } } else if (!isStrict) { result[result.length] = value; @@ -6305,14 +6258,14 @@ function baseFlatten(array, depth, predicate, isStrict, result) { /***/ }), -/***/ 2693: +/***/ 79985: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(61395); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseFor_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(19004); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -6325,7 +6278,7 @@ function baseFlatten(array, depth, predicate, isStrict, result) { * @returns {Object} Returns `object`. */ function baseForOwn(object, iteratee) { - return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z); + return object && (0,_baseFor_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, iteratee, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseForOwn); @@ -6333,14 +6286,14 @@ function baseForOwn(object, iteratee) { /***/ }), -/***/ 13317: +/***/ 60604: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -6353,13 +6306,13 @@ function baseForOwn(object, iteratee) { * @returns {*} Returns the resolved value. */ function baseGet(object, path) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = 0, length = path.length; while (object != null && index < length) { - object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index++])]; + object = object[(0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index++])]; } return (index && index == length) ? object : undefined; } @@ -6369,14 +6322,14 @@ function baseGet(object, path) { /***/ }), -/***/ 63327: +/***/ 30176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(58694); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayPush_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(25072); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -6393,7 +6346,7 @@ function baseGet(object, path) { */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); - return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(result, symbolsFunc(object)); + return (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? result : (0,_arrayPush_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(result, symbolsFunc(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (baseGetAllKeys); @@ -6401,19 +6354,19 @@ function baseGetAllKeys(object, keysFunc, symbolsFunc) { /***/ }), -/***/ 74765: +/***/ 91312: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _baseIteratee) + c: () => (/* binding */ _baseIteratee) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Stack.js + 5 modules -var _Stack = __webpack_require__(31667); +var _Stack = __webpack_require__(97184); // EXTERNAL MODULE: ./node_modules/lodash-es/_SetCache.js + 2 modules -var _SetCache = __webpack_require__(63001); +var _SetCache = __webpack_require__(34528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arraySome.js /** * A specialized version of `_.some` for arrays without support for iteratee @@ -6440,7 +6393,7 @@ function arraySome(array, predicate) { /* harmony default export */ const _arraySome = (arraySome); // EXTERNAL MODULE: ./node_modules/lodash-es/_cacheHas.js -var _cacheHas = __webpack_require__(59548); +var _cacheHas = __webpack_require__(5960); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalArrays.js @@ -6479,7 +6432,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { } var index = -1, result = true, - seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.Z : undefined; + seen = (bitmask & COMPARE_UNORDERED_FLAG) ? new _SetCache/* default */.c : undefined; stack.set(array, other); stack.set(other, array); @@ -6504,7 +6457,7 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { // Recursively compare arrays (susceptible to call stack limits). if (seen) { if (!_arraySome(other, function(othValue, othIndex) { - if (!(0,_cacheHas/* default */.Z)(seen, othIndex) && + if (!(0,_cacheHas/* default */.c)(seen, othIndex) && (arrValue === othValue || equalFunc(arrValue, othValue, bitmask, customizer, stack))) { return seen.push(othIndex); } @@ -6528,11 +6481,11 @@ function equalArrays(array, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalArrays = (equalArrays); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_Uint8Array.js -var _Uint8Array = __webpack_require__(84073); +var _Uint8Array = __webpack_require__(91392); // EXTERNAL MODULE: ./node_modules/lodash-es/eq.js -var eq = __webpack_require__(79651); +var eq = __webpack_require__(73048); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_mapToArray.js /** * Converts `map` to its key-value pairs. @@ -6554,7 +6507,7 @@ function mapToArray(map) { /* harmony default export */ const _mapToArray = (mapToArray); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToArray.js -var _setToArray = __webpack_require__(6545); +var _setToArray = __webpack_require__(68872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalByTag.js @@ -6582,7 +6535,7 @@ var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]'; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolValueOf = symbolProto ? symbolProto.valueOf : undefined; /** @@ -6614,7 +6567,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case arrayBufferTag: if ((object.byteLength != other.byteLength) || - !equalFunc(new _Uint8Array/* default */.Z(object), new _Uint8Array/* default */.Z(other))) { + !equalFunc(new _Uint8Array/* default */.c(object), new _Uint8Array/* default */.c(other))) { return false; } return true; @@ -6624,7 +6577,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case numberTag: // Coerce booleans to `1` or `0` and dates to milliseconds. // Invalid dates are coerced to `NaN`. - return (0,eq/* default */.Z)(+object, +other); + return (0,eq/* default */.c)(+object, +other); case errorTag: return object.name == other.name && object.message == other.message; @@ -6641,7 +6594,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { case setTag: var isPartial = bitmask & _equalByTag_COMPARE_PARTIAL_FLAG; - convert || (convert = _setToArray/* default */.Z); + convert || (convert = _setToArray/* default */.c); if (object.size != other.size && !isPartial) { return false; @@ -6670,7 +6623,7 @@ function equalByTag(object, other, tag, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalByTag = (equalByTag); // EXTERNAL MODULE: ./node_modules/lodash-es/_getAllKeys.js -var _getAllKeys = __webpack_require__(1808); +var _getAllKeys = __webpack_require__(22980); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_equalObjects.js @@ -6698,9 +6651,9 @@ var _equalObjects_hasOwnProperty = objectProto.hasOwnProperty; */ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { var isPartial = bitmask & _equalObjects_COMPARE_PARTIAL_FLAG, - objProps = (0,_getAllKeys/* default */.Z)(object), + objProps = (0,_getAllKeys/* default */.c)(object), objLength = objProps.length, - othProps = (0,_getAllKeys/* default */.Z)(other), + othProps = (0,_getAllKeys/* default */.c)(other), othLength = othProps.length; if (objLength != othLength && !isPartial) { @@ -6764,13 +6717,13 @@ function equalObjects(object, other, bitmask, customizer, equalFunc, stack) { /* harmony default export */ const _equalObjects = (equalObjects); // EXTERNAL MODULE: ./node_modules/lodash-es/_getTag.js + 3 modules -var _getTag = __webpack_require__(83970); +var _getTag = __webpack_require__(17188); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isBuffer.js + 1 modules -var isBuffer = __webpack_require__(77008); +var isBuffer = __webpack_require__(57274); // EXTERNAL MODULE: ./node_modules/lodash-es/isTypedArray.js + 1 modules -var isTypedArray = __webpack_require__(18843); +var isTypedArray = __webpack_require__(93416); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqualDeep.js @@ -6810,10 +6763,10 @@ var _baseIsEqualDeep_hasOwnProperty = _baseIsEqualDeep_objectProto.hasOwnPropert * @returns {boolean} Returns `true` if the objects are equivalent, else `false`. */ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { - var objIsArr = (0,isArray/* default */.Z)(object), - othIsArr = (0,isArray/* default */.Z)(other), - objTag = objIsArr ? arrayTag : (0,_getTag/* default */.Z)(object), - othTag = othIsArr ? arrayTag : (0,_getTag/* default */.Z)(other); + var objIsArr = (0,isArray/* default */.c)(object), + othIsArr = (0,isArray/* default */.c)(other), + objTag = objIsArr ? arrayTag : (0,_getTag/* default */.c)(object), + othTag = othIsArr ? arrayTag : (0,_getTag/* default */.c)(other); objTag = objTag == argsTag ? objectTag : objTag; othTag = othTag == argsTag ? objectTag : othTag; @@ -6822,16 +6775,16 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { othIsObj = othTag == objectTag, isSameTag = objTag == othTag; - if (isSameTag && (0,isBuffer/* default */.Z)(object)) { - if (!(0,isBuffer/* default */.Z)(other)) { + if (isSameTag && (0,isBuffer/* default */.c)(object)) { + if (!(0,isBuffer/* default */.c)(other)) { return false; } objIsArr = true; objIsObj = false; } if (isSameTag && !objIsObj) { - stack || (stack = new _Stack/* default */.Z); - return (objIsArr || (0,isTypedArray/* default */.Z)(object)) + stack || (stack = new _Stack/* default */.c); + return (objIsArr || (0,isTypedArray/* default */.c)(object)) ? _equalArrays(object, other, bitmask, customizer, equalFunc, stack) : _equalByTag(object, other, objTag, bitmask, customizer, equalFunc, stack); } @@ -6843,21 +6796,21 @@ function baseIsEqualDeep(object, other, bitmask, customizer, equalFunc, stack) { var objUnwrapped = objIsWrapped ? object.value() : object, othUnwrapped = othIsWrapped ? other.value() : other; - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return equalFunc(objUnwrapped, othUnwrapped, bitmask, customizer, stack); } } if (!isSameTag) { return false; } - stack || (stack = new _Stack/* default */.Z); + stack || (stack = new _Stack/* default */.c); return _equalObjects(object, other, bitmask, customizer, equalFunc, stack); } /* harmony default export */ const _baseIsEqualDeep = (baseIsEqualDeep); // EXTERNAL MODULE: ./node_modules/lodash-es/isObjectLike.js -var isObjectLike = __webpack_require__(18533); +var isObjectLike = __webpack_require__(23584); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseIsEqual.js @@ -6880,7 +6833,7 @@ function baseIsEqual(value, other, bitmask, customizer, stack) { if (value === other) { return true; } - if (value == null || other == null || (!(0,isObjectLike/* default */.Z)(value) && !(0,isObjectLike/* default */.Z)(other))) { + if (value == null || other == null || (!(0,isObjectLike/* default */.c)(value) && !(0,isObjectLike/* default */.c)(other))) { return value !== value && other !== other; } return _baseIsEqualDeep(value, other, bitmask, customizer, baseIsEqual, stack); @@ -6935,7 +6888,7 @@ function baseIsMatch(object, source, matchData, customizer) { return false; } } else { - var stack = new _Stack/* default */.Z; + var stack = new _Stack/* default */.c; if (customizer) { var result = customizer(objValue, srcValue, key, object, source, stack); } @@ -6953,7 +6906,7 @@ function baseIsMatch(object, source, matchData, customizer) { /* harmony default export */ const _baseIsMatch = (baseIsMatch); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_isStrictComparable.js @@ -6966,13 +6919,13 @@ var isObject = __webpack_require__(77226); * equality comparisons, else `false`. */ function isStrictComparable(value) { - return value === value && !(0,isObject/* default */.Z)(value); + return value === value && !(0,isObject/* default */.c)(value); } /* harmony default export */ const _isStrictComparable = (isStrictComparable); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_getMatchData.js @@ -6985,7 +6938,7 @@ var keys = __webpack_require__(17179); * @returns {Array} Returns the match data of `object`. */ function getMatchData(object) { - var result = (0,keys/* default */.Z)(object), + var result = (0,keys/* default */.c)(object), length = result.length; while (length--) { @@ -7046,7 +6999,7 @@ function baseMatches(source) { /* harmony default export */ const _baseMatches = (baseMatches); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); ;// CONCATENATED MODULE: ./node_modules/lodash-es/get.js @@ -7076,18 +7029,18 @@ var _baseGet = __webpack_require__(13317); * // => 'default' */ function get(object, path, defaultValue) { - var result = object == null ? undefined : (0,_baseGet/* default */.Z)(object, path); + var result = object == null ? undefined : (0,_baseGet/* default */.c)(object, path); return result === undefined ? defaultValue : result; } /* harmony default export */ const lodash_es_get = (get); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseMatchesProperty.js @@ -7110,13 +7063,13 @@ var _baseMatchesProperty_COMPARE_PARTIAL_FLAG = 1, * @returns {Function} Returns the new spec function. */ function baseMatchesProperty(path, srcValue) { - if ((0,_isKey/* default */.Z)(path) && _isStrictComparable(srcValue)) { - return _matchesStrictComparable((0,_toKey/* default */.Z)(path), srcValue); + if ((0,_isKey/* default */.c)(path) && _isStrictComparable(srcValue)) { + return _matchesStrictComparable((0,_toKey/* default */.c)(path), srcValue); } return function(object) { var objValue = lodash_es_get(object, path); return (objValue === undefined && objValue === srcValue) - ? (0,hasIn/* default */.Z)(object, path) + ? (0,hasIn/* default */.c)(object, path) : _baseIsEqual(srcValue, objValue, _baseMatchesProperty_COMPARE_PARTIAL_FLAG | _baseMatchesProperty_COMPARE_UNORDERED_FLAG); }; } @@ -7124,9 +7077,9 @@ function baseMatchesProperty(path, srcValue) { /* harmony default export */ const _baseMatchesProperty = (baseMatchesProperty); // EXTERNAL MODULE: ./node_modules/lodash-es/identity.js -var identity = __webpack_require__(69203); +var identity = __webpack_require__(5816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseProperty.js -var _baseProperty = __webpack_require__(54193); +var _baseProperty = __webpack_require__(60472); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePropertyDeep.js @@ -7139,7 +7092,7 @@ var _baseProperty = __webpack_require__(54193); */ function basePropertyDeep(path) { return function(object) { - return (0,_baseGet/* default */.Z)(object, path); + return (0,_baseGet/* default */.c)(object, path); }; } @@ -7174,7 +7127,7 @@ function basePropertyDeep(path) { * // => [1, 2] */ function property(path) { - return (0,_isKey/* default */.Z)(path) ? (0,_baseProperty/* default */.Z)((0,_toKey/* default */.Z)(path)) : _basePropertyDeep(path); + return (0,_isKey/* default */.c)(path) ? (0,_baseProperty/* default */.c)((0,_toKey/* default */.c)(path)) : _basePropertyDeep(path); } /* harmony default export */ const lodash_es_property = (property); @@ -7200,10 +7153,10 @@ function baseIteratee(value) { return value; } if (value == null) { - return identity/* default */.Z; + return identity/* default */.c; } if (typeof value == 'object') { - return (0,isArray/* default */.Z)(value) + return (0,isArray/* default */.c)(value) ? _baseMatchesProperty(value[0], value[1]) : _baseMatches(value); } @@ -7215,14 +7168,14 @@ function baseIteratee(value) { /***/ }), -/***/ 21018: +/***/ 90360: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(49811); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(92816); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -7236,9 +7189,9 @@ function baseIteratee(value) { */ function baseMap(collection, iteratee) { var index = -1, - result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? Array(collection.length) : []; + result = (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? Array(collection.length) : []; - (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(collection, function(value, key, collection) { + (0,_baseEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(collection, function(value, key, collection) { result[++index] = iteratee(value, key, collection); }); return result; @@ -7249,11 +7202,11 @@ function baseMap(collection, iteratee) { /***/ }), -/***/ 54193: +/***/ 60472: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * The base implementation of `_.property` without support for deep paths. @@ -7273,11 +7226,11 @@ function baseProperty(key) { /***/ }), -/***/ 59548: +/***/ 5960: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if a `cache` value for `key` exists. @@ -7296,13 +7249,13 @@ function cacheHas(cache, key) { /***/ }), -/***/ 68882: +/***/ 12176: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69203); +/* harmony import */ var _identity_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(5816); /** @@ -7313,7 +7266,7 @@ function cacheHas(cache, key) { * @returns {Function} Returns cast function. */ function castFunction(value) { - return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z; + return typeof value == 'function' ? value : _identity_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (castFunction); @@ -7321,21 +7274,21 @@ function castFunction(value) { /***/ }), -/***/ 22823: +/***/ 58356: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ _castPath) + c: () => (/* binding */ _castPath) }); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/_isKey.js -var _isKey = __webpack_require__(99365); +var _isKey = __webpack_require__(27544); // EXTERNAL MODULE: ./node_modules/lodash-es/memoize.js -var memoize = __webpack_require__(42454); +var memoize = __webpack_require__(30528); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_memoizeCapped.js @@ -7351,7 +7304,7 @@ var MAX_MEMOIZE_SIZE = 500; * @returns {Function} Returns the new memoized function. */ function memoizeCapped(func) { - var result = (0,memoize/* default */.Z)(func, function(key) { + var result = (0,memoize/* default */.c)(func, function(key) { if (cache.size === MAX_MEMOIZE_SIZE) { cache.clear(); } @@ -7394,7 +7347,7 @@ var stringToPath = _memoizeCapped(function(string) { /* harmony default export */ const _stringToPath = (stringToPath); // EXTERNAL MODULE: ./node_modules/lodash-es/toString.js + 1 modules -var lodash_es_toString = __webpack_require__(50751); +var lodash_es_toString = __webpack_require__(68019); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_castPath.js @@ -7410,10 +7363,10 @@ var lodash_es_toString = __webpack_require__(50751); * @returns {Array} Returns the cast property path array. */ function castPath(value, object) { - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { return value; } - return (0,_isKey/* default */.Z)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.Z)(value)); + return (0,_isKey/* default */.c)(value, object) ? [value] : _stringToPath((0,lodash_es_toString/* default */.c)(value)); } /* harmony default export */ const _castPath = (castPath); @@ -7421,15 +7374,15 @@ function castPath(value, object) { /***/ }), -/***/ 1808: +/***/ 22980: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(63327); -/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95695); -/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17179); +/* harmony import */ var _baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(30176); +/* harmony import */ var _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(10772); +/* harmony import */ var _keys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62420); @@ -7442,7 +7395,7 @@ function castPath(value, object) { * @returns {Array} Returns the array of property names and symbols. */ function getAllKeys(object) { - return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z); + return (0,_baseGetAllKeys_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object, _keys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c, _getSymbols_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (getAllKeys); @@ -7450,14 +7403,14 @@ function getAllKeys(object) { /***/ }), -/***/ 95695: +/***/ 10772: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(68774); -/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(60532); +/* harmony import */ var _arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46091); +/* harmony import */ var _stubArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41716); @@ -7477,12 +7430,12 @@ var nativeGetSymbols = Object.getOwnPropertySymbols; * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ -var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z : function(object) { +var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c : function(object) { if (object == null) { return []; } object = Object(object); - return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(nativeGetSymbols(object), function(symbol) { + return (0,_arrayFilter_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(nativeGetSymbols(object), function(symbol) { return propertyIsEnumerable.call(object, symbol); }); }; @@ -7492,18 +7445,18 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ /***/ }), -/***/ 16174: +/***/ 18872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(22823); -/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(29169); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(27771); -/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(56009); -/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(1656); -/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(62281); +/* harmony import */ var _castPath_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(58356); +/* harmony import */ var _isArguments_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(59636); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(78820); +/* harmony import */ var _isIndex_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(748); +/* harmony import */ var _isLength_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(54968); +/* harmony import */ var _toKey_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(32128); @@ -7521,14 +7474,14 @@ var getSymbols = !nativeGetSymbols ? _stubArray_js__WEBPACK_IMPORTED_MODULE_0__/ * @returns {boolean} Returns `true` if `path` exists, else `false`. */ function hasPath(object, path, hasFunc) { - path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(path, object); + path = (0,_castPath_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(path, object); var index = -1, length = path.length, result = false; while (++index < length) { - var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(path[index]); + var key = (0,_toKey_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(path[index]); if (!(result = object != null && hasFunc(object, key))) { break; } @@ -7538,8 +7491,8 @@ function hasPath(object, path, hasFunc) { return result; } length = object == null ? 0 : object.length; - return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(key, length) && - ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .Z)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .Z)(object)); + return !!length && (0,_isLength_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(length) && (0,_isIndex_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(key, length) && + ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_4__/* ["default"] */ .c)(object) || (0,_isArguments_js__WEBPACK_IMPORTED_MODULE_5__/* ["default"] */ .c)(object)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (hasPath); @@ -7547,14 +7500,14 @@ function hasPath(object, path, hasFunc) { /***/ }), -/***/ 99365: +/***/ 27544: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(72714); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46380); @@ -7571,12 +7524,12 @@ var reIsDeepProp = /\.|\[(?:[^[\]]*|(["'])(?:(?!\1)[^\\]|\\.)*?\1)\]/, * @returns {boolean} Returns `true` if `value` is a property name, else `false`. */ function isKey(value, object) { - if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if ((0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return false; } var type = typeof value; if (type == 'number' || type == 'symbol' || type == 'boolean' || - value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value)) { + value == null || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value)) { return true; } return reIsPlainProp.test(value) || !reIsDeepProp.test(value) || @@ -7588,11 +7541,11 @@ function isKey(value, object) { /***/ }), -/***/ 6545: +/***/ 68872: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Converts `set` to an array of its values. @@ -7616,13 +7569,13 @@ function setToArray(set) { /***/ }), -/***/ 62281: +/***/ 32128: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(72714); +/* harmony import */ var _isSymbol_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(46380); /** Used as references for various `Number` constants. */ @@ -7636,7 +7589,7 @@ var INFINITY = 1 / 0; * @returns {string|symbol} Returns the key. */ function toKey(value) { - if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value)) { + if (typeof value == 'string' || (0,_isSymbol_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value)) { return value; } var result = (value + ''); @@ -7648,16 +7601,63 @@ function toKey(value) { /***/ }), -/***/ 3688: +/***/ 77784: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(69581); -/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(79651); -/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(50439); -/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(32957); +/* harmony import */ var _baseClone_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(48492); + + +/** Used to compose bitmasks for cloning. */ +var CLONE_SYMBOLS_FLAG = 4; + +/** + * Creates a shallow clone of `value`. + * + * **Note:** This method is loosely based on the + * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm) + * and supports cloning arrays, array buffers, booleans, date objects, maps, + * numbers, `Object` objects, regexes, sets, strings, symbols, and typed + * arrays. The own enumerable properties of `arguments` objects are cloned + * as plain objects. An empty object is returned for uncloneable values such + * as error objects, functions, DOM nodes, and WeakMaps. + * + * @static + * @memberOf _ + * @since 0.1.0 + * @category Lang + * @param {*} value The value to clone. + * @returns {*} Returns the cloned value. + * @see _.cloneDeep + * @example + * + * var objects = [{ 'a': 1 }, { 'b': 2 }]; + * + * var shallow = _.clone(objects); + * console.log(shallow[0] === objects[0]); + * // => true + */ +function clone(value) { + return (0,_baseClone_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value, CLONE_SYMBOLS_FLAG); +} + +/* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (clone); + + +/***/ }), + +/***/ 12804: +/***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { + +/* harmony export */ __webpack_require__.d(__webpack_exports__, { +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ }); +/* harmony import */ var _baseRest_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(34880); +/* harmony import */ var _eq_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(73048); +/* harmony import */ var _isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(15552); +/* harmony import */ var _keysIn_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(97000); @@ -7690,20 +7690,20 @@ var hasOwnProperty = objectProto.hasOwnProperty; * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 }); * // => { 'a': 1, 'b': 2 } */ -var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(function(object, sources) { +var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(function(object, sources) { object = Object(object); var index = -1; var length = sources.length; var guard = length > 2 ? sources[2] : undefined; - if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(sources[0], sources[1], guard)) { + if (guard && (0,_isIterateeCall_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(sources[0], sources[1], guard)) { length = 1; } while (++index < length) { var source = sources[index]; - var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(source); + var props = (0,_keysIn_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(source); var propsIndex = -1; var propsLength = props.length; @@ -7712,7 +7712,7 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) var value = object[key]; if (value === undefined || - ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { + ((0,_eq_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(value, objectProto[key]) && !hasOwnProperty.call(object, key))) { object[key] = source[key]; } } @@ -7726,19 +7726,19 @@ var defaults = (0,_baseRest_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z) /***/ }), -/***/ 13445: +/***/ 55720: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_filter) + c: () => (/* binding */ lodash_es_filter) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayFilter.js -var _arrayFilter = __webpack_require__(68774); +var _arrayFilter = __webpack_require__(46091); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseFilter.js @@ -7752,7 +7752,7 @@ var _baseEach = __webpack_require__(49811); */ function baseFilter(collection, predicate) { var result = []; - (0,_baseEach/* default */.Z)(collection, function(value, index, collection) { + (0,_baseEach/* default */.c)(collection, function(value, index, collection) { if (predicate(value, index, collection)) { result.push(value); } @@ -7763,9 +7763,9 @@ function baseFilter(collection, predicate) { /* harmony default export */ const _baseFilter = (baseFilter); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/filter.js @@ -7814,8 +7814,8 @@ var isArray = __webpack_require__(27771); * // => objects for ['fred', 'barney'] */ function filter(collection, predicate) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayFilter/* default */.Z : _baseFilter; - return func(collection, (0,_baseIteratee/* default */.Z)(predicate, 3)); + var func = (0,isArray/* default */.c)(collection) ? _arrayFilter/* default */.c : _baseFilter; + return func(collection, (0,_baseIteratee/* default */.c)(predicate, 3)); } /* harmony default export */ const lodash_es_filter = (filter); @@ -7823,13 +7823,13 @@ function filter(collection, predicate) { /***/ }), -/***/ 27961: +/***/ 9552: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(10626); +/* harmony import */ var _baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(40571); /** @@ -7848,7 +7848,7 @@ function filter(collection, predicate) { */ function flatten(array) { var length = array == null ? 0 : array.length; - return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(array, 1) : []; + return length ? (0,_baseFlatten_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(array, 1) : []; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (flatten); @@ -7856,16 +7856,16 @@ function flatten(array) { /***/ }), -/***/ 70870: +/***/ 50080: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(76579); -/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(49811); -/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(68882); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(56812); +/* harmony import */ var _baseEach_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(92816); +/* harmony import */ var _castFunction_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(12176); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -7902,8 +7902,8 @@ function flatten(array) { * // => Logs 'a' then 'b' (iteration order is not guaranteed). */ function forEach(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayEach_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseEach_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_castFunction_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (forEach); @@ -7911,13 +7911,13 @@ function forEach(collection, iteratee) { /***/ }), -/***/ 17452: +/***/ 7248: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_has) + c: () => (/* binding */ lodash_es_has) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHas.js @@ -7942,7 +7942,7 @@ function baseHas(object, key) { /* harmony default export */ const _baseHas = (baseHas); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/has.js @@ -7975,7 +7975,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function has(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHas); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHas); } /* harmony default export */ const lodash_es_has = (has); @@ -7983,13 +7983,13 @@ function has(object, path) { /***/ }), -/***/ 75487: +/***/ 73556: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_hasIn) + c: () => (/* binding */ lodash_es_hasIn) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseHasIn.js @@ -8008,7 +8008,7 @@ function baseHasIn(object, key) { /* harmony default export */ const _baseHasIn = (baseHasIn); // EXTERNAL MODULE: ./node_modules/lodash-es/_hasPath.js -var _hasPath = __webpack_require__(16174); +var _hasPath = __webpack_require__(18872); ;// CONCATENATED MODULE: ./node_modules/lodash-es/hasIn.js @@ -8040,7 +8040,7 @@ var _hasPath = __webpack_require__(16174); * // => false */ function hasIn(object, path) { - return object != null && (0,_hasPath/* default */.Z)(object, path, _baseHasIn); + return object != null && (0,_hasPath/* default */.c)(object, path, _baseHasIn); } /* harmony default export */ const lodash_es_hasIn = (hasIn); @@ -8048,14 +8048,14 @@ function hasIn(object, path) { /***/ }), -/***/ 72714: +/***/ 46380: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(93589); -/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(18533); +/* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(67724); +/* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(23584); @@ -8081,7 +8081,7 @@ var symbolTag = '[object Symbol]'; */ function isSymbol(value) { return typeof value == 'symbol' || - ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(value) == symbolTag); + ((0,_isObjectLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(value) && (0,_baseGetTag_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(value) == symbolTag); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (isSymbol); @@ -8089,11 +8089,11 @@ function isSymbol(value) { /***/ }), -/***/ 49360: +/***/ 60372: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * Checks if `value` is `undefined`. @@ -8121,15 +8121,15 @@ function isUndefined(value) { /***/ }), -/***/ 17179: +/***/ 62420: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(87668); -/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(39473); -/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50585); +/* harmony import */ var _arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(46900); +/* harmony import */ var _baseKeys_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(61376); +/* harmony import */ var _isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(42440); @@ -8163,7 +8163,7 @@ function isUndefined(value) { * // => ['0', '1'] */ function keys(object) { - return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)(object); + return (0,_isArrayLike_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(object) ? (0,_arrayLikeKeys_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c)(object) : (0,_baseKeys_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c)(object); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (keys); @@ -8171,16 +8171,16 @@ function keys(object) { /***/ }), -/***/ 43836: +/***/ 92696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(74073); -/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(74765); -/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(21018); -/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(27771); +/* harmony import */ var _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(1304); +/* harmony import */ var _baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(91312); +/* harmony import */ var _baseMap_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(90360); +/* harmony import */ var _isArray_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(78820); @@ -8229,8 +8229,8 @@ function keys(object) { * // => ['barney', 'fred'] */ function map(collection, iteratee) { - var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z; - return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .Z)(iteratee, 3)); + var func = (0,_isArray_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(collection) ? _arrayMap_js__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .c : _baseMap_js__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .c; + return func(collection, (0,_baseIteratee_js__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .c)(iteratee, 3)); } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (map); @@ -8238,27 +8238,27 @@ function map(collection, iteratee) { /***/ }), -/***/ 61666: +/***/ 95108: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_pick) + c: () => (/* binding */ lodash_es_pick) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseGet.js -var _baseGet = __webpack_require__(13317); +var _baseGet = __webpack_require__(60604); // EXTERNAL MODULE: ./node_modules/lodash-es/_assignValue.js -var _assignValue = __webpack_require__(72954); +var _assignValue = __webpack_require__(77412); // EXTERNAL MODULE: ./node_modules/lodash-es/_castPath.js + 2 modules -var _castPath = __webpack_require__(22823); +var _castPath = __webpack_require__(58356); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIndex.js -var _isIndex = __webpack_require__(56009); +var _isIndex = __webpack_require__(748); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/_toKey.js -var _toKey = __webpack_require__(62281); +var _toKey = __webpack_require__(32128); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseSet.js @@ -8277,10 +8277,10 @@ var _toKey = __webpack_require__(62281); * @returns {Object} Returns `object`. */ function baseSet(object, path, value, customizer) { - if (!(0,isObject/* default */.Z)(object)) { + if (!(0,isObject/* default */.c)(object)) { return object; } - path = (0,_castPath/* default */.Z)(path, object); + path = (0,_castPath/* default */.c)(path, object); var index = -1, length = path.length, @@ -8288,7 +8288,7 @@ function baseSet(object, path, value, customizer) { nested = object; while (nested != null && ++index < length) { - var key = (0,_toKey/* default */.Z)(path[index]), + var key = (0,_toKey/* default */.c)(path[index]), newValue = value; if (key === '__proto__' || key === 'constructor' || key === 'prototype') { @@ -8299,12 +8299,12 @@ function baseSet(object, path, value, customizer) { var objValue = nested[key]; newValue = customizer ? customizer(objValue, key, nested) : undefined; if (newValue === undefined) { - newValue = (0,isObject/* default */.Z)(objValue) + newValue = (0,isObject/* default */.c)(objValue) ? objValue - : ((0,_isIndex/* default */.Z)(path[index + 1]) ? [] : {}); + : ((0,_isIndex/* default */.c)(path[index + 1]) ? [] : {}); } } - (0,_assignValue/* default */.Z)(nested, key, newValue); + (0,_assignValue/* default */.c)(nested, key, newValue); nested = nested[key]; } return object; @@ -8333,10 +8333,10 @@ function basePickBy(object, paths, predicate) { while (++index < length) { var path = paths[index], - value = (0,_baseGet/* default */.Z)(object, path); + value = (0,_baseGet/* default */.c)(object, path); if (predicate(value, path)) { - _baseSet(result, (0,_castPath/* default */.Z)(path, object), value); + _baseSet(result, (0,_castPath/* default */.c)(path, object), value); } } return result; @@ -8345,7 +8345,7 @@ function basePickBy(object, paths, predicate) { /* harmony default export */ const _basePickBy = (basePickBy); // EXTERNAL MODULE: ./node_modules/lodash-es/hasIn.js + 1 modules -var hasIn = __webpack_require__(75487); +var hasIn = __webpack_require__(73556); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_basePick.js @@ -8361,18 +8361,18 @@ var hasIn = __webpack_require__(75487); */ function basePick(object, paths) { return _basePickBy(object, paths, function(value, path) { - return (0,hasIn/* default */.Z)(object, path); + return (0,hasIn/* default */.c)(object, path); }); } /* harmony default export */ const _basePick = (basePick); // EXTERNAL MODULE: ./node_modules/lodash-es/flatten.js -var flatten = __webpack_require__(27961); +var flatten = __webpack_require__(9552); // EXTERNAL MODULE: ./node_modules/lodash-es/_overRest.js + 1 modules -var _overRest = __webpack_require__(81211); +var _overRest = __webpack_require__(10648); // EXTERNAL MODULE: ./node_modules/lodash-es/_setToString.js + 2 modules -var _setToString = __webpack_require__(27227); +var _setToString = __webpack_require__(99669); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_flatRest.js @@ -8386,7 +8386,7 @@ var _setToString = __webpack_require__(27227); * @returns {Function} Returns the new function. */ function flatRest(func) { - return (0,_setToString/* default */.Z)((0,_overRest/* default */.Z)(func, undefined, flatten/* default */.Z), func + ''); + return (0,_setToString/* default */.c)((0,_overRest/* default */.c)(func, undefined, flatten/* default */.c), func + ''); } /* harmony default export */ const _flatRest = (flatRest); @@ -8421,13 +8421,13 @@ var pick = _flatRest(function(object, paths) { /***/ }), -/***/ 74379: +/***/ 52264: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_range) + c: () => (/* binding */ lodash_es_range) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseRange.js @@ -8461,9 +8461,9 @@ function baseRange(start, end, step, fromRight) { /* harmony default export */ const _baseRange = (baseRange); // EXTERNAL MODULE: ./node_modules/lodash-es/_isIterateeCall.js -var _isIterateeCall = __webpack_require__(50439); +var _isIterateeCall = __webpack_require__(15552); // EXTERNAL MODULE: ./node_modules/lodash-es/toFinite.js + 3 modules -var toFinite = __webpack_require__(94099); +var toFinite = __webpack_require__(92400); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_createRange.js @@ -8478,18 +8478,18 @@ var toFinite = __webpack_require__(94099); */ function createRange(fromRight) { return function(start, end, step) { - if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.Z)(start, end, step)) { + if (step && typeof step != 'number' && (0,_isIterateeCall/* default */.c)(start, end, step)) { end = step = undefined; } // Ensure the sign of `-0` is preserved. - start = (0,toFinite/* default */.Z)(start); + start = (0,toFinite/* default */.c)(start); if (end === undefined) { end = start; start = 0; } else { - end = (0,toFinite/* default */.Z)(end); + end = (0,toFinite/* default */.c)(end); } - step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.Z)(step); + step = step === undefined ? (start < end ? 1 : -1) : (0,toFinite/* default */.c)(step); return _baseRange(start, end, step, fromRight); }; } @@ -8547,13 +8547,13 @@ var range = _createRange(); /***/ }), -/***/ 92344: +/***/ 90460: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_reduce) + c: () => (/* binding */ lodash_es_reduce) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_arrayReduce.js @@ -8585,9 +8585,9 @@ function arrayReduce(array, iteratee, accumulator, initAccum) { /* harmony default export */ const _arrayReduce = (arrayReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseEach.js + 1 modules -var _baseEach = __webpack_require__(49811); +var _baseEach = __webpack_require__(92816); // EXTERNAL MODULE: ./node_modules/lodash-es/_baseIteratee.js + 16 modules -var _baseIteratee = __webpack_require__(74765); +var _baseIteratee = __webpack_require__(91312); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseReduce.js /** * The base implementation of `_.reduce` and `_.reduceRight`, without support @@ -8614,7 +8614,7 @@ function baseReduce(collection, iteratee, accumulator, initAccum, eachFunc) { /* harmony default export */ const _baseReduce = (baseReduce); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); ;// CONCATENATED MODULE: ./node_modules/lodash-es/reduce.js @@ -8660,10 +8660,10 @@ var isArray = __webpack_require__(27771); * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed) */ function reduce(collection, iteratee, accumulator) { - var func = (0,isArray/* default */.Z)(collection) ? _arrayReduce : _baseReduce, + var func = (0,isArray/* default */.c)(collection) ? _arrayReduce : _baseReduce, initAccum = arguments.length < 3; - return func(collection, (0,_baseIteratee/* default */.Z)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.Z); + return func(collection, (0,_baseIteratee/* default */.c)(iteratee, 4), accumulator, initAccum, _baseEach/* default */.c); } /* harmony default export */ const lodash_es_reduce = (reduce); @@ -8671,11 +8671,11 @@ function reduce(collection, iteratee, accumulator) { /***/ }), -/***/ 60532: +/***/ 41716: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); /** * This method returns a new empty array. @@ -8704,13 +8704,13 @@ function stubArray() { /***/ }), -/***/ 94099: +/***/ 92400: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toFinite) + c: () => (/* binding */ lodash_es_toFinite) }); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_trimmedEndIndex.js @@ -8756,9 +8756,9 @@ function baseTrim(string) { /* harmony default export */ const _baseTrim = (baseTrim); // EXTERNAL MODULE: ./node_modules/lodash-es/isObject.js -var isObject = __webpack_require__(77226); +var isObject = __webpack_require__(5368); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/toNumber.js @@ -8806,12 +8806,12 @@ function toNumber(value) { if (typeof value == 'number') { return value; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return NAN; } - if ((0,isObject/* default */.Z)(value)) { + if ((0,isObject/* default */.c)(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; - value = (0,isObject/* default */.Z)(other) ? (other + '') : other; + value = (0,isObject/* default */.c)(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; @@ -8872,23 +8872,23 @@ function toFinite(value) { /***/ }), -/***/ 50751: +/***/ 68019: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_toString) + c: () => (/* binding */ lodash_es_toString) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_Symbol.js -var _Symbol = __webpack_require__(17685); +var _Symbol = __webpack_require__(24048); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); // EXTERNAL MODULE: ./node_modules/lodash-es/isArray.js -var isArray = __webpack_require__(27771); +var isArray = __webpack_require__(78820); // EXTERNAL MODULE: ./node_modules/lodash-es/isSymbol.js -var isSymbol = __webpack_require__(72714); +var isSymbol = __webpack_require__(46380); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseToString.js @@ -8899,7 +8899,7 @@ var isSymbol = __webpack_require__(72714); var INFINITY = 1 / 0; /** Used to convert symbols to primitives and strings. */ -var symbolProto = _Symbol/* default */.Z ? _Symbol/* default */.Z.prototype : undefined, +var symbolProto = _Symbol/* default */.c ? _Symbol/* default */.c.prototype : undefined, symbolToString = symbolProto ? symbolProto.toString : undefined; /** @@ -8915,11 +8915,11 @@ function baseToString(value) { if (typeof value == 'string') { return value; } - if ((0,isArray/* default */.Z)(value)) { + if ((0,isArray/* default */.c)(value)) { // Recursively convert values (susceptible to call stack limits). - return (0,_arrayMap/* default */.Z)(value, baseToString) + ''; + return (0,_arrayMap/* default */.c)(value, baseToString) + ''; } - if ((0,isSymbol/* default */.Z)(value)) { + if ((0,isSymbol/* default */.c)(value)) { return symbolToString ? symbolToString.call(value) : ''; } var result = (value + ''); @@ -8961,13 +8961,13 @@ function toString_toString(value) { /***/ }), -/***/ 66749: +/***/ 41696: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { -/* harmony export */ Z: () => (__WEBPACK_DEFAULT_EXPORT__) +/* harmony export */ c: () => (__WEBPACK_DEFAULT_EXPORT__) /* harmony export */ }); -/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(50751); +/* harmony import */ var _toString_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(68019); /** Used to generate unique IDs. */ @@ -8992,7 +8992,7 @@ var idCounter = 0; */ function uniqueId(prefix) { var id = ++idCounter; - return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .Z)(prefix) + id; + return (0,_toString_js__WEBPACK_IMPORTED_MODULE_0__/* ["default"] */ .c)(prefix) + id; } /* harmony default export */ const __WEBPACK_DEFAULT_EXPORT__ = (uniqueId); @@ -9000,17 +9000,17 @@ function uniqueId(prefix) { /***/ }), -/***/ 34148: +/***/ 36: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { // EXPORTS __webpack_require__.d(__webpack_exports__, { - Z: () => (/* binding */ lodash_es_values) + c: () => (/* binding */ lodash_es_values) }); // EXTERNAL MODULE: ./node_modules/lodash-es/_arrayMap.js -var _arrayMap = __webpack_require__(74073); +var _arrayMap = __webpack_require__(1304); ;// CONCATENATED MODULE: ./node_modules/lodash-es/_baseValues.js @@ -9025,7 +9025,7 @@ var _arrayMap = __webpack_require__(74073); * @returns {Object} Returns the array of property values. */ function baseValues(object, props) { - return (0,_arrayMap/* default */.Z)(props, function(key) { + return (0,_arrayMap/* default */.c)(props, function(key) { return object[key]; }); } @@ -9033,7 +9033,7 @@ function baseValues(object, props) { /* harmony default export */ const _baseValues = (baseValues); // EXTERNAL MODULE: ./node_modules/lodash-es/keys.js -var keys = __webpack_require__(17179); +var keys = __webpack_require__(62420); ;// CONCATENATED MODULE: ./node_modules/lodash-es/values.js @@ -9065,7 +9065,7 @@ var keys = __webpack_require__(17179); * // => ['h', 'i'] */ function values(object) { - return object == null ? [] : _baseValues(object, (0,keys/* default */.Z)(object)); + return object == null ? [] : _baseValues(object, (0,keys/* default */.c)(object)); } /* harmony default export */ const lodash_es_values = (values); @@ -9073,22 +9073,22 @@ function values(object) { /***/ }), -/***/ 64168: +/***/ 98936: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(42924); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(45625); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(24743); -/* harmony import */ var _index_0980fb80_js__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(74852); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(27484); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(17967); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(22424); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(39354); +/* harmony import */ var _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(73448); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(95536); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(79010); +/* harmony import */ var _index_8fae9850_js__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(37024); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(62264); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(86208); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(57776); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(41520); @@ -9108,7 +9108,7 @@ function values(object) { -const sanitizeText = (txt) => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.e.sanitizeText(txt, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)()); +const sanitizeText = (txt) => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.e.sanitizeText(txt, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)()); let conf = { dividerMargin: 10, padding: 5, @@ -9117,8 +9117,8 @@ let conf = { }; const addNamespaces = function(namespaces, g, _id, diagObj) { const keys = Object.keys(namespaces); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info("keys:", keys); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info(namespaces); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info("keys:", keys); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info(namespaces); keys.forEach(function(id) { var _a, _b; const vertex = namespaces[id]; @@ -9131,22 +9131,22 @@ const addNamespaces = function(namespaces, g, _id, diagObj) { labelStyle: "", style: "fill: none; stroke: black", // TODO V10: Flowchart ? Keeping flowchart for backwards compatibility. Remove in next major release - padding: ((_a = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart) == null ? void 0 : _a.padding) ?? ((_b = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().class) == null ? void 0 : _b.padding) + padding: ((_a = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart) == null ? void 0 : _a.padding) ?? ((_b = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().class) == null ? void 0 : _b.padding) }; g.setNode(vertex.id, node); addClasses(vertex.classes, g, _id, diagObj, vertex.id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info("setNode", node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info("setNode", node); }); }; const addClasses = function(classes, g, _id, diagObj, parent) { const keys = Object.keys(classes); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info("keys:", keys); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info(classes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info("keys:", keys); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info(classes); keys.filter((id) => classes[id].parent == parent).forEach(function(id) { var _a, _b; const vertex = classes[id]; const cssClassStr = vertex.cssClasses.join(" "); - const styles2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.k)(vertex.styles); + const styles2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.k)(vertex.styles); const vertexText = vertex.label ?? vertex.id; const radius = 0; const shape = "class_box"; @@ -9167,17 +9167,17 @@ const addClasses = function(classes, g, _id, diagObj, parent) { width: vertex.type === "group" ? 500 : void 0, type: vertex.type, // TODO V10: Flowchart ? Keeping flowchart for backwards compatibility. Remove in next major release - padding: ((_a = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart) == null ? void 0 : _a.padding) ?? ((_b = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().class) == null ? void 0 : _b.padding) + padding: ((_a = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart) == null ? void 0 : _a.padding) ?? ((_b = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().class) == null ? void 0 : _b.padding) }; g.setNode(vertex.id, node); if (parent) { g.setParent(vertex.id, parent); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info("setNode", node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info("setNode", node); }); }; const addNotes = function(notes, g, startEdgeId, classes) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info(notes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info(notes); notes.forEach(function(note, i) { var _a, _b; const vertex = note; @@ -9200,10 +9200,10 @@ const addNotes = function(notes, g, startEdgeId, classes) { tooltip: "", type: "note", // TODO V10: Flowchart ? Keeping flowchart for backwards compatibility. Remove in next major release - padding: ((_a = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart) == null ? void 0 : _a.padding) ?? ((_b = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().class) == null ? void 0 : _b.padding) + padding: ((_a = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart) == null ? void 0 : _a.padding) ?? ((_b = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().class) == null ? void 0 : _b.padding) }; g.setNode(vertex.id, node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info("setNode", node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info("setNode", node); if (!vertex.class || !(vertex.class in classes)) { return; } @@ -9223,13 +9223,13 @@ const addNotes = function(notes, g, startEdgeId, classes) { arrowTypeEnd: "none", style: "fill:none", labelStyle: "", - curve: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.n)(conf.curve, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .c_6) + curve: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.n)(conf.curve, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .qGi) }; g.setEdge(vertex.id, vertex.class, edgeData, edgeId); }); }; const addRelations = function(relations, g) { - const conf2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart; + const conf2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart; let cnt = 0; relations.forEach(function(edge) { var _a; @@ -9249,11 +9249,11 @@ const addRelations = function(relations, g) { arrowTypeEnd: getArrowMarker(edge.relation.type2), style: "fill:none", labelStyle: "", - curve: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.n)(conf2 == null ? void 0 : conf2.curve, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .c_6) + curve: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.n)(conf2 == null ? void 0 : conf2.curve, d3__WEBPACK_IMPORTED_MODULE_0__/* .curveLinear */ .qGi) }; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info(edgeData, edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info(edgeData, edge); if (edge.style !== void 0) { - const styles2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.k)(edge.style); + const styles2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.k)(edge.style); edgeData.style = styles2.style; edgeData.labelStyle = styles2.labelStyle; } @@ -9265,12 +9265,12 @@ const addRelations = function(relations, g) { } else { edgeData.arrowheadStyle = "fill: #333"; edgeData.labelpos = "c"; - if (((_a = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart) == null ? void 0 : _a.htmlLabels) ?? (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().htmlLabels) { + if (((_a = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart) == null ? void 0 : _a.htmlLabels) ?? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().htmlLabels) { edgeData.labelType = "html"; edgeData.label = '' + edge.text + ""; } else { edgeData.labelType = "text"; - edgeData.label = edge.text.replace(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.e.lineBreakRegex, "\n"); + edgeData.label = edge.text.replace(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.e.lineBreakRegex, "\n"); if (edge.style === void 0) { edgeData.style = edgeData.style || "stroke: #333; stroke-width: 1.5px;fill:none"; } @@ -9287,13 +9287,13 @@ const setConf = function(cnf) { }; }; const draw = async function(text, id, _version, diagObj) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info("Drawing class - ", id); - const conf2 = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart ?? (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().class; - const securityLevel = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info("config:", conf2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info("Drawing class - ", id); + const conf2 = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().flowchart ?? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().class; + const securityLevel = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.c)().securityLevel; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info("config:", conf2); const nodeSpacing = (conf2 == null ? void 0 : conf2.nodeSpacing) ?? 50; const rankSpacing = (conf2 == null ? void 0 : conf2.rankSpacing) ?? 50; - const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_1__/* .Graph */ .k({ + const g = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_1__/* .Graph */ .M({ multigraph: true, compound: true }).setGraph({ @@ -9309,27 +9309,27 @@ const draw = async function(text, id, _version, diagObj) { const classes = diagObj.db.getClasses(); const relations = diagObj.db.getRelations(); const notes = diagObj.db.getNotes(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.l.info(relations); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.l.info(relations); addNamespaces(namespaces, g, id, diagObj); addClasses(classes, g, id, diagObj); addRelations(relations, g); addNotes(notes, g, relations.length + 1, classes); let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); const svg = root.select(`[id="${id}"]`); const element = root.select("#" + id + " g"); - await (0,_index_0980fb80_js__WEBPACK_IMPORTED_MODULE_8__.r)( + await (0,_index_8fae9850_js__WEBPACK_IMPORTED_MODULE_8__.r)( element, g, ["aggregation", "extension", "composition", "dependency", "lollipop"], "classDiagram", id ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.u.insertTitle(svg, "classTitleText", (conf2 == null ? void 0 : conf2.titleTopMargin) ?? 5, diagObj.db.getDiagramTitle()); - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_7__.o)(g, svg, conf2 == null ? void 0 : conf2.diagramPadding, conf2 == null ? void 0 : conf2.useMaxWidth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.u.insertTitle(svg, "classTitleText", (conf2 == null ? void 0 : conf2.titleTopMargin) ?? 5, diagObj.db.getDiagramTitle()); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_7__.o)(g, svg, conf2 == null ? void 0 : conf2.diagramPadding, conf2 == null ? void 0 : conf2.useMaxWidth); if (!(conf2 == null ? void 0 : conf2.htmlLabels)) { const doc = securityLevel === "sandbox" ? sandboxElement.nodes()[0].contentDocument : document; const labels = doc.querySelectorAll('[id="' + id + '"] .edgeLabel .label'); @@ -9372,16 +9372,16 @@ const renderer = { draw }; const diagram = { - parser: _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_9__.p, - db: _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_9__.d, + parser: _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_9__.p, + db: _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_9__.d, renderer, - styles: _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_9__.s, + styles: _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_9__.s, init: (cnf) => { if (!cnf.class) { cnf.class = {}; } cnf.class.arrowMarkerAbsolute = cnf.arrowMarkerAbsolute; - _styles_9dd40fb9_js__WEBPACK_IMPORTED_MODULE_9__.d.clear(); + _styles_6860f46c_js__WEBPACK_IMPORTED_MODULE_9__.d.clear(); } }; @@ -9389,7 +9389,7 @@ const diagram = { /***/ }), -/***/ 76562: +/***/ 73748: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { @@ -9414,8 +9414,8 @@ __webpack_require__.d(constructs_namespaceObject, { text: () => (constructs_text) }); -// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-04fb0060.js + 8 modules -var mermaid_04fb0060 = __webpack_require__(24743); +// EXTERNAL MODULE: ./node_modules/mermaid/dist/mermaid-0603ccf8.js + 8 modules +var mermaid_0603ccf8 = __webpack_require__(79010); ;// CONCATENATED MODULE: ./node_modules/mermaid/node_modules/mdast-util-to-string/lib/index.js /** * @typedef {import('mdast').Root|import('mdast').Content} Node @@ -22023,14 +22023,14 @@ function defaultOnError(left, right) { } // EXTERNAL MODULE: ./node_modules/ts-dedent/esm/index.js -var esm = __webpack_require__(18464); -;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-a48a4c90.js +var esm = __webpack_require__(71408); +;// CONCATENATED MODULE: ./node_modules/mermaid/dist/createText-423428c9.js function preprocessMarkdown(markdown) { const withoutMultipleNewlines = markdown.replace(/\n{2,}/g, "\n"); - const withoutExtraSpaces = (0,esm/* dedent */.Z)(withoutMultipleNewlines); + const withoutExtraSpaces = (0,esm/* dedent */.s)(withoutMultipleNewlines); return withoutExtraSpaces; } function markdownToLines(markdown) { @@ -22252,12 +22252,12 @@ const createText = (el, text = "", { width = 200, addSvgBackground = false } = {}) => { - mermaid_04fb0060.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); + mermaid_0603ccf8.l.info("createText", text, style, isTitle, classes, useHtmlLabels, isNode, addSvgBackground); if (useHtmlLabels) { const htmlText = markdownToHTML(text); const node = { isNode, - label: (0,mermaid_04fb0060.J)(htmlText).replace( + label: (0,mermaid_0603ccf8.J)(htmlText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ), @@ -22276,7 +22276,7 @@ const createText = (el, text = "", { /***/ }), -/***/ 52494: +/***/ 79680: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -22286,19 +22286,20 @@ const createText = (el, text = "", { /* harmony export */ d: () => (/* binding */ clear), /* harmony export */ e: () => (/* binding */ insertNode), /* harmony export */ f: () => (/* binding */ insertEdgeLabel), -/* harmony export */ g: () => (/* binding */ insertEdge), -/* harmony export */ h: () => (/* binding */ positionEdgeLabel), +/* harmony export */ g: () => (/* binding */ getSubGraphTitleMargins), +/* harmony export */ h: () => (/* binding */ insertEdge), /* harmony export */ i: () => (/* binding */ intersectRect$1), -/* harmony export */ j: () => (/* binding */ getLineFunctionsWithOffset), -/* harmony export */ k: () => (/* binding */ addEdgeMarkers), +/* harmony export */ j: () => (/* binding */ positionEdgeLabel), +/* harmony export */ k: () => (/* binding */ getLineFunctionsWithOffset), /* harmony export */ l: () => (/* binding */ labelHelper), +/* harmony export */ m: () => (/* binding */ addEdgeMarkers), /* harmony export */ p: () => (/* binding */ positionNode), /* harmony export */ s: () => (/* binding */ setNodeElem), /* harmony export */ u: () => (/* binding */ updateNodeBounds) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(76562); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(73748); @@ -22308,7 +22309,7 @@ const insertMarkers = (elem, markerArray, type, id) => { }); }; const extension = (elem, type, id) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Making markers for ", id); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionStart").attr("class", "marker extension " + type).attr("refX", 18).attr("refY", 7).attr("markerWidth", 190).attr("markerHeight", 240).attr("orient", "auto").append("path").attr("d", "M 1,7 L18,13 V 1 Z"); elem.append("defs").append("marker").attr("id", id + "_" + type + "-extensionEnd").attr("class", "marker extension " + type).attr("refX", 1).attr("refY", 7).attr("markerWidth", 20).attr("markerHeight", 28).attr("orient", "auto").append("path").attr("d", "M 1,1 V 13 L18,7 Z"); }; @@ -22361,7 +22362,7 @@ function applyStyle(dom, styleFn) { } } function addHtmlLabel(node) { - const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); + const fo = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(document.createElementNS("http://www.w3.org/2000/svg", "foreignObject")); const div = fo.append("xhtml:div"); const label = node.label; const labelClass = node.isNode ? "nodeLabel" : "edgeLabel"; @@ -22379,12 +22380,12 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { if (typeof vertexText === "object") { vertexText = vertexText[0]; } - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { vertexText = vertexText.replace(/\\n|\n/g, "
    "); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("vertexText" + vertexText); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("vertexText" + vertexText); const node = { isNode, - label: (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( + label: (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(vertexText).replace( /fa[blrs]?:fa-[\w-]+/g, (s) => `` ), @@ -22422,7 +22423,7 @@ const createLabel = (_vertexText, style, isTitle, isNode) => { const createLabel$1 = createLabel; const labelHelper = async (parent, node, _classes, isNode) => { let classes; - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); if (!_classes) { classes = "node default"; } else { @@ -22439,15 +22440,15 @@ const labelHelper = async (parent, node, _classes, isNode) => { const textNode = label.node(); let text; if (node.labelType === "markdown") { - text = (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { + text = (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(label, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), { useHtmlLabels, - width: node.width || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, + width: node.width || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.wrappingWidth, classes: "markdown-node-label" }); } else { text = textNode.appendChild( createLabel$1( - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()), + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.J)(labelText), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()), node.labelStyle, false, isNode @@ -22456,9 +22457,9 @@ const labelHelper = async (parent, node, _classes, isNode) => { } let bbox = text.getBBox(); const halfPadding = node.padding / 2; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); const images = div.getElementsByTagName("img"); if (images) { const noImgText = labelText.replace(/]*>/g, "").trim() === ""; @@ -22469,7 +22470,7 @@ const labelHelper = async (parent, node, _classes, isNode) => { img.style.display = "flex"; img.style.flexDirection = "column"; if (noImgText) { - const bodyFontSize = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; + const bodyFontSize = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize ? (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().fontSize : window.getComputedStyle(document.body).fontSize; const enlargingFactor = 5; const width = parseInt(bodyFontSize, 10) * enlargingFactor + "px"; img.style.minWidth = width; @@ -22653,7 +22654,7 @@ const intersect = { rect: intersectRect$1 }; const note = async (parent, node) => { - const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; + const useHtmlLabels = node.useHtmlLabels || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels; if (!useHtmlLabels) { node.centerLabel = true; } @@ -22663,7 +22664,7 @@ const note = async (parent, node) => { "node " + node.classes, true ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Classes = ", node.classes); const rect2 = shapeSvg.insert("rect", ":first-child"); rect2.attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); updateNodeBounds(node, rect2); @@ -22673,6 +22674,208 @@ const note = async (parent, node) => { return shapeSvg; }; const note$1 = note; +const expandAndDeduplicateDirections = (directions) => { + const uniqueDirections = /* @__PURE__ */ new Set(); + for (const direction of directions) { + switch (direction) { + case "x": + uniqueDirections.add("right"); + uniqueDirections.add("left"); + break; + case "y": + uniqueDirections.add("up"); + uniqueDirections.add("down"); + break; + default: + uniqueDirections.add(direction); + break; + } + } + return uniqueDirections; +}; +const getArrowPoints = (duplicatedDirections, bbox, node) => { + const directions = expandAndDeduplicateDirections(duplicatedDirections); + const f = 2; + const height = bbox.height + 2 * node.padding; + const midpoint = height / f; + const width = bbox.width + 2 * midpoint + node.padding; + const padding = node.padding / 2; + if (directions.has("right") && directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + // Bottom + { x: 0, y: 0 }, + { x: midpoint, y: 0 }, + { x: width / 2, y: 2 * padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: 0 }, + // Right + { x: width, y: -height / 3 }, + { x: width + 2 * padding, y: -height / 2 }, + { x: width, y: -2 * height / 3 }, + { x: width, y: -height }, + // Top + { x: width - midpoint, y: -height }, + { x: width / 2, y: -height - 2 * padding }, + { x: midpoint, y: -height }, + // Left + { x: 0, y: -height }, + { x: 0, y: -2 * height / 3 }, + { x: -2 * padding, y: -height / 2 }, + { x: 0, y: -height / 3 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("up")) { + return [ + { x: midpoint, y: 0 }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("right") && directions.has("left") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: midpoint, y: -height }, + { x: width - midpoint, y: -height }, + { x: width, y: 0 } + ]; + } + if (directions.has("right") && directions.has("up") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: width, y: -height + midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: 0, y: -height + midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("right") && directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up") && directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + if (directions.has("right") && directions.has("up")) { + return [ + { x: 0, y: 0 }, + { x: width, y: -midpoint }, + { x: 0, y: -height } + ]; + } + if (directions.has("right") && directions.has("down")) { + return [ + { x: 0, y: 0 }, + { x: width, y: 0 }, + { x: 0, y: -height } + ]; + } + if (directions.has("left") && directions.has("up")) { + return [ + { x: width, y: 0 }, + { x: 0, y: -midpoint }, + { x: width, y: -height } + ]; + } + if (directions.has("left") && directions.has("down")) { + return [ + { x: width, y: 0 }, + { x: 0, y: 0 }, + { x: width, y: -height } + ]; + } + if (directions.has("right")) { + return [ + { x: midpoint, y: -padding }, + { x: midpoint, y: -padding }, + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: 0 }, + { x: width, y: -height / 2 }, + { x: width - midpoint, y: -height }, + { x: width - midpoint, y: -height + padding }, + // top left corner of arrow + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding } + ]; + } + if (directions.has("left")) { + return [ + { x: midpoint, y: 0 }, + { x: midpoint, y: -padding }, + // Two points, the right corners + { x: width - midpoint, y: -padding }, + { x: width - midpoint, y: -height + padding }, + { x: midpoint, y: -height + padding }, + { x: midpoint, y: -height }, + { x: 0, y: -height / 2 } + ]; + } + if (directions.has("up")) { + return [ + // Bottom center + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: 0, y: -height + padding }, + // Top of arrow + { x: width / 2, y: -height }, + { x: width, y: -height + padding }, + // Top of right vertical bar + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding } + ]; + } + if (directions.has("down")) { + return [ + // Bottom center + { x: width / 2, y: 0 }, + // Left pont of bottom arrow + { x: 0, y: -padding }, + { x: midpoint, y: -padding }, + // Left top over vertical section + { x: midpoint, y: -height + padding }, + { x: width - midpoint, y: -height + padding }, + { x: width - midpoint, y: -padding }, + { x: width, y: -padding } + ]; + } + return [{ x: 0, y: 0 }]; +}; const formatClass = (str) => { if (str) { return " " + str; @@ -22700,12 +22903,12 @@ const question = async (parent, node) => { { x: s / 2, y: -s }, { x: 0, y: -s / 2 } ]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Question main (Circle)"); const questionElem = insertPolygonShape(shapeSvg, s, s, points); questionElem.attr("style", node.style); updateNodeBounds(node, questionElem); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("Intersect called"); return intersect.polygon(node, points, point2); }; return shapeSvg; @@ -22760,6 +22963,21 @@ const hexagon = async (parent, node) => { }; return shapeSvg; }; +const block_arrow = async (parent, node) => { + const { shapeSvg, bbox } = await labelHelper(parent, node, void 0, true); + const f = 2; + const h = bbox.height + 2 * node.padding; + const m = h / f; + const w = bbox.width + 2 * m + node.padding; + const points = getArrowPoints(node.directions, bbox, node); + const blockArrow = insertPolygonShape(shapeSvg, w, h, points); + blockArrow.attr("style", node.style); + updateNodeBounds(node, blockArrow); + node.intersect = function(point2) { + return intersect.polygon(node, points, point2); + }; + return shapeSvg; +}; const rect_left_inv_arrow = async (parent, node) => { const { shapeSvg, bbox } = await labelHelper( parent, @@ -22936,9 +23154,40 @@ const rect = async (parent, node) => { true ); const rect2 = shapeSvg.insert("rect", ":first-child"); - const totalWidth = bbox.width + node.padding; - const totalHeight = bbox.height + node.padding; - rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", -bbox.width / 2 - halfPadding).attr("y", -bbox.height / 2 - halfPadding).attr("width", totalWidth).attr("height", totalHeight); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); + if (node.props) { + const propKeys = new Set(Object.keys(node.props)); + if (node.props.borders) { + applyNodePropertyBorders(rect2, node.props.borders, totalWidth, totalHeight); + propKeys.delete("borders"); + } + propKeys.forEach((propKey) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + }); + } + updateNodeBounds(node, rect2); + node.intersect = function(point2) { + return intersect.rect(node, point2); + }; + return shapeSvg; +}; +const composite = async (parent, node) => { + const { shapeSvg, bbox, halfPadding } = await labelHelper( + parent, + node, + "node " + node.classes, + true + ); + const rect2 = shapeSvg.insert("rect", ":first-child"); + const totalWidth = node.positioned ? node.width : bbox.width + node.padding; + const totalHeight = node.positioned ? node.height : bbox.height + node.padding; + const x = node.positioned ? -totalWidth / 2 : -bbox.width / 2 - halfPadding; + const y = node.positioned ? -totalHeight / 2 : -bbox.height / 2 - halfPadding; + rect2.attr("class", "basic cluster composite label-container").attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", x).attr("y", y).attr("width", totalWidth).attr("height", totalHeight); if (node.props) { const propKeys = new Set(Object.keys(node.props)); if (node.props.borders) { @@ -22946,7 +23195,7 @@ const rect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -22957,7 +23206,7 @@ const rect = async (parent, node) => { }; const labelRect = async (parent, node) => { const { shapeSvg } = await labelHelper(parent, node, "label", true); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace("Classes = ", node.class); const rect2 = shapeSvg.insert("rect", ":first-child"); const totalWidth = 0; const totalHeight = 0; @@ -22970,7 +23219,7 @@ const labelRect = async (parent, node) => { propKeys.delete("borders"); } propKeys.forEach((propKey) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown node property ${propKey}`); }); } updateNodeBounds(node, rect2); @@ -22988,25 +23237,25 @@ function applyNodePropertyBorders(rect2, borders, totalWidth, totalHeight) { strokeDashArray.push(0, length); }; if (borders.includes("t")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add top border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("r")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add right border"); addBorder(totalHeight); } else { skipBorder(totalHeight); } if (borders.includes("b")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add bottom border"); addBorder(totalWidth); } else { skipBorder(totalWidth); } if (borders.includes("l")) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("add left border"); addBorder(totalHeight); } else { skipBorder(totalHeight); @@ -23031,36 +23280,36 @@ const rectWithTitle = (parent, node) => { } else { title = text2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Label text abc79", title, text2, typeof text2 === "object"); const text = label.node().appendChild(createLabel$1(title, node.labelStyle, true, true)); let bbox = { width: 0, height: 0 }; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Text 2", text2); const textRows = text2.slice(1, text2.length); let titleBox = text.getBBox(); const descr = label.node().appendChild( createLabel$1(textRows.join ? textRows.join("
    ") : textRows, node.labelStyle, true, true) ); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = descr.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); } const halfPadding = node.padding / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(descr).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(descr).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width > titleBox.width ? 0 : (titleBox.width - bbox.width) / 2) + ", " + (titleBox.height + halfPadding + 5) + ")" ); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(text).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(text).attr( "transform", "translate( " + // (titleBox.width - bbox.width) / 2 + (bbox.width < titleBox.width ? 0 : -(titleBox.width - bbox.width) / 2) + ", 0)" @@ -23103,10 +23352,10 @@ const circle = async (parent, node) => { ); const circle2 = shapeSvg.insert("circle", ":first-child"); circle2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle main"); updateNodeBounds(node, circle2); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Circle intersect", node, bbox.width / 2 + halfPadding, point2); return intersect.circle(node, bbox.width / 2 + halfPadding, point2); }; return shapeSvg; @@ -23125,10 +23374,10 @@ const doublecircle = async (parent, node) => { circleGroup.attr("class", node.class); outerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding + gap).attr("width", bbox.width + node.padding + gap * 2).attr("height", bbox.height + node.padding + gap * 2); innerCircle.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("r", bbox.width / 2 + halfPadding).attr("width", bbox.width + node.padding).attr("height", bbox.height + node.padding); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle main"); updateNodeBounds(node, outerCircle); node.intersect = function(point2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.info("DoubleCircle intersect", node, bbox.width / 2 + halfPadding + gap, point2); return intersect.circle(node, bbox.width / 2 + halfPadding + gap, point2); }; return shapeSvg; @@ -23223,9 +23472,9 @@ const class_box = (parent, node) => { const interfaceLabelText = node.classData.annotations[0] ? "«" + node.classData.annotations[0] + "»" : ""; const interfaceLabel = labelContainer.node().appendChild(createLabel$1(interfaceLabelText, node.labelStyle, true, true)); let interfaceBBox = interfaceLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = interfaceLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel); interfaceBBox = div.getBoundingClientRect(); dv.attr("width", interfaceBBox.width); dv.attr("height", interfaceBBox.height); @@ -23236,18 +23485,18 @@ const class_box = (parent, node) => { } let classTitleString = node.classData.label; if (node.classData.type !== void 0 && node.classData.type !== "") { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { classTitleString += "<" + node.classData.type + ">"; } else { classTitleString += "<" + node.classData.type + ">"; } } const classTitleLabel = labelContainer.node().appendChild(createLabel$1(classTitleString, node.labelStyle, true, true)); - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr("class", "classTitle"); + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr("class", "classTitle"); let classTitleBBox = classTitleLabel.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = classTitleLabel.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel); classTitleBBox = div.getBoundingClientRect(); dv.attr("width", classTitleBBox.width); dv.attr("height", classTitleBBox.height); @@ -23260,7 +23509,7 @@ const class_box = (parent, node) => { node.classData.members.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let parsedText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { parsedText = parsedText.replace(//g, ">"); } const lbl = labelContainer.node().appendChild( @@ -23272,9 +23521,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23290,7 +23539,7 @@ const class_box = (parent, node) => { node.classData.methods.forEach((member) => { const parsedInfo = member.getDisplayDetails(); let displayText = parsedInfo.displayText; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels) { displayText = displayText.replace(//g, ">"); } const lbl = labelContainer.node().appendChild( @@ -23302,9 +23551,9 @@ const class_box = (parent, node) => { ) ); let bbox = lbl.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels)) { const div = lbl.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23318,14 +23567,14 @@ const class_box = (parent, node) => { maxHeight += lineHeight; if (hasInterface) { let diffX2 = (maxWidth - interfaceBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(interfaceLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(interfaceLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX2) + ", " + -1 * maxHeight / 2 + ")" ); verticalPos = interfaceBBox.height + rowPadding; } let diffX = (maxWidth - classTitleBBox.width) / 2; - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(classTitleLabel).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(classTitleLabel).attr( "transform", "translate( " + (-1 * maxWidth / 2 + diffX) + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -23333,7 +23582,7 @@ const class_box = (parent, node) => { topLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classAttributes.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos + lineHeight / 2) + ")" ); @@ -23344,7 +23593,7 @@ const class_box = (parent, node) => { bottomLine.attr("class", "divider").attr("x1", -maxWidth / 2 - halfPadding).attr("x2", maxWidth / 2 + halfPadding).attr("y1", -maxHeight / 2 - halfPadding + lineHeight + verticalPos).attr("y2", -maxHeight / 2 - halfPadding + lineHeight + verticalPos); verticalPos += lineHeight; classMethods.forEach((lbl) => { - (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(lbl).attr( + (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(lbl).attr( "transform", "translate( " + -maxWidth / 2 + ", " + (-1 * maxHeight / 2 + verticalPos) + ")" ); @@ -23360,6 +23609,7 @@ const class_box = (parent, node) => { }; const shapes = { rhombus: question, + composite, question, rect, labelRect, @@ -23369,6 +23619,7 @@ const shapes = { doublecircle, stadium, hexagon, + block_arrow, rect_left_inv_arrow, lean_right, lean_left, @@ -23390,7 +23641,7 @@ const insertNode = async (elem, node, dir) => { let el; if (node.link) { let target; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().securityLevel === "sandbox") { target = "_top"; } else if (node.linkTarget) { target = node.linkTarget || "_blank"; @@ -23407,6 +23658,8 @@ const insertNode = async (elem, node, dir) => { if (node.class) { el.attr("class", "node default " + node.class); } + newEl.attr("data-node", "true"); + newEl.attr("data-id", node.id); nodeElems[node.id] = newEl; if (node.haveCallback) { nodeElems[node.id].attr("class", nodeElems[node.id].attr("class") + " clickable"); @@ -23421,7 +23674,7 @@ const clear$1 = () => { }; const positionNode = (node) => { const el = nodeElems[node.id]; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.trace( "Transforming node", node.diff, node, @@ -23439,6 +23692,19 @@ const positionNode = (node) => { } return diff; }; +const getSubGraphTitleMargins = ({ + flowchart +}) => { + var _a, _b; + const subGraphTitleTopMargin = ((_a = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _a.top) ?? 0; + const subGraphTitleBottomMargin = ((_b = flowchart == null ? void 0 : flowchart.subGraphTitleMargin) == null ? void 0 : _b.bottom) ?? 0; + const subGraphTitleTotalMargin = subGraphTitleTopMargin + subGraphTitleBottomMargin; + return { + subGraphTitleTopMargin, + subGraphTitleBottomMargin, + subGraphTitleTotalMargin + }; +}; const markerOffsets = { aggregation: 18, extension: 18, @@ -23519,7 +23785,7 @@ const arrowTypesMap = { const addEdgeMarker = (svgPath, position, arrowType, url, id, diagramType) => { const endMarkerType = arrowTypesMap[arrowType]; if (!endMarkerType) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`Unknown arrow type: ${arrowType}`); return; } const suffix = position === "start" ? "Start" : "End"; @@ -23532,20 +23798,19 @@ const clear = () => { terminalLabels = {}; }; const insertEdgeLabel = (elem, edge) => { - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); - const labelElement = edge.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.m)((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels); + const labelElement = edge.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_2__.a)(elem, edge.label, { style: edge.labelStyle, useHtmlLabels, addSvgBackground: true }) : createLabel$1(edge.label, edge.labelStyle); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc82", edge, edge.labelType); const edgeLabel = elem.insert("g").attr("class", "edgeLabel"); const label = edgeLabel.insert("g").attr("class", "label"); label.node().appendChild(labelElement); let bbox = labelElement.getBBox(); if (useHtmlLabels) { const div = labelElement.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(labelElement); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(labelElement); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -23613,21 +23878,23 @@ const insertEdgeLabel = (elem, edge) => { return labelElement; }; function setTerminalWidth(fo, value) { - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.htmlLabels && fo) { fo.style.width = value.length * 9 + "px"; fo.style.height = "12px"; } } const positionEdgeLabel = (edge, paths) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("Moving label abc78 ", edge.id, edge.label, edgeLabels[edge.id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Moving label abc88 ", edge.id, edge.label, edgeLabels[edge.id], paths); let path = paths.updatedPath ? paths.updatedPath : paths.originalPath; + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const { subGraphTitleTotalMargin } = getSubGraphTitleMargins(siteConfig); if (edge.label) { const el = edgeLabels[edge.id]; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcLabelPosition(path); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug( "Moving label " + edge.label + " from (", x, ",", @@ -23636,32 +23903,32 @@ const positionEdgeLabel = (edge, paths) => { pos.x, ",", pos.y, - ") abc78" + ") abc88" ); if (paths.updatedPath) { x = pos.x; y = pos.y; } } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y + subGraphTitleTotalMargin / 2})`); } if (edge.startLabelLeft) { const el = terminalLabels[edge.id].startLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeStart ? 10 : 0, "start_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.startLabelRight) { const el = terminalLabels[edge.id].startRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition( edge.arrowTypeStart ? 10 : 0, "start_right", path @@ -23669,29 +23936,29 @@ const positionEdgeLabel = (edge, paths) => { x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelLeft) { const el = terminalLabels[edge.id].endLeft; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_left", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } if (edge.endLabelRight) { const el = terminalLabels[edge.id].endRight; let x = edge.x; let y = edge.y; if (path) { - const pos = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); + const pos = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.calcTerminalLabelPosition(edge.arrowTypeEnd ? 10 : 0, "end_right", path); x = pos.x; y = pos.y; } - el.attr("transform", "translate(" + x + ", " + y + ")"); + el.attr("transform", `translate(${x}, ${y})`); } }; const outsideNode = (node, point2) => { @@ -23707,7 +23974,7 @@ const outsideNode = (node, point2) => { return false; }; const intersection = (node, outsidePoint, insidePoint) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`intersection calc abc89: + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`intersection calc abc89: outsidePoint: ${JSON.stringify(outsidePoint)} insidePoint : ${JSON.stringify(insidePoint)} node : x:${node.x} y:${node.y} w:${node.width} h:${node.height}`); @@ -23736,7 +24003,7 @@ const intersection = (node, outsidePoint, insidePoint) => { if (Q === 0) { res.y = outsidePoint.y; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`abc89 topp/bott calc, Q ${Q}, q ${q}, R ${R}, r ${r}`, res); return res; } else { if (insidePoint.x < outsidePoint.x) { @@ -23747,7 +24014,7 @@ const intersection = (node, outsidePoint, insidePoint) => { let q = Q * r / R; let _x = insidePoint.x < outsidePoint.x ? insidePoint.x + R - r : insidePoint.x - R + r; let _y = insidePoint.y < outsidePoint.y ? insidePoint.y + q : insidePoint.y - q; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug(`sides calc abc89, Q ${Q}, q ${q}, R ${R}, r ${r}`, { _x, _y }); if (r === 0) { _x = outsidePoint.x; _y = outsidePoint.y; @@ -23762,71 +24029,58 @@ const intersection = (node, outsidePoint, insidePoint) => { } }; const cutPathAtIntersect = (_points, boundryNode) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 cutPathAtIntersect", _points, boundryNode); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 cutPathAtIntersect", _points, boundryNode); let points = []; let lastPointOutside = _points[0]; let isInside = false; _points.forEach((point2) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 checking point", point2, boundryNode); if (!outsideNode(boundryNode, point2) && !isInside) { const inter = intersection(boundryNode, lastPointOutside, point2); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 inside", point2, lastPointOutside, inter); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 intersection", inter); let pointPresent = false; points.forEach((p) => { pointPresent = pointPresent || p.x === inter.x && p.y === inter.y; }); if (!points.some((e) => e.x === inter.x && e.y === inter.y)) { points.push(inter); - } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 no intersect", inter, points); } isInside = true; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 outside", point2, lastPointOutside); lastPointOutside = point2; if (!isInside) { points.push(point2); } } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.warn("abc88 returning points", points); return points; }; const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { let points = edge.points; + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("abc88 InsertEdge: edge=", edge, "e=", e); let pointsHasChanged = false; const tail = graph.node(e.v); var head = graph.node(e.w); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("abc88 InsertEdge: ", edge); - if (head.intersect && tail.intersect) { + if ((head == null ? void 0 : head.intersect) && (tail == null ? void 0 : tail.intersect)) { points = points.slice(1, edge.points.length - 1); points.unshift(tail.intersect(points[0])); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info( - "Last point", - points[points.length - 1], - head, - head.intersect(points[points.length - 1]) - ); points.push(head.intersect(points[points.length - 1])); } if (edge.toCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("to cluster abc88", clusterDb[edge.toCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("to cluster abc88", clusterDb[edge.toCluster]); points = cutPathAtIntersect(edge.points, clusterDb[edge.toCluster].node); pointsHasChanged = true; } if (edge.fromCluster) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("from cluster abc88", clusterDb[edge.fromCluster]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("from cluster abc88", clusterDb[edge.fromCluster]); points = cutPathAtIntersect(points.reverse(), clusterDb[edge.fromCluster].node).reverse(); pointsHasChanged = true; } const lineData = points.filter((p) => !Number.isNaN(p.y)); - let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .$0Z; + let curve = d3__WEBPACK_IMPORTED_MODULE_0__/* .curveBasis */ .k7; if (edge.curve && (diagramType === "graph" || diagramType === "flowchart")) { curve = edge.curve; } const { x, y } = getLineFunctionsWithOffset(edge); - const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .jvg)().x(x).y(y).curve(curve); + const lineFunction = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .line */ .cFK)().x(x).y(y).curve(curve); let strokeClasses; switch (edge.thickness) { case "normal": @@ -23854,13 +24108,11 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { } const svgPath = elem.append("path").attr("d", lineFunction(lineData)).attr("id", edge.id).attr("class", " " + strokeClasses + (edge.classes ? " " + edge.classes : "")).attr("style", edge.style); let url = ""; - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().flowchart.arrowMarkerAbsolute || (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().state.arrowMarkerAbsolute) { url = window.location.protocol + "//" + window.location.host + window.location.pathname + window.location.search; url = url.replace(/\(/g, "\\("); url = url.replace(/\)/g, "\\)"); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeStart", edge.arrowTypeStart); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.info("arrowTypeEnd", edge.arrowTypeEnd); addEdgeMarkers(svgPath, edge, url, id, diagramType); let paths = {}; if (pointsHasChanged) { @@ -23874,19 +24126,19 @@ const insertEdge = function(elem, e, edge, clusterDb, diagramType, graph, id) { /***/ }), -/***/ 74852: +/***/ 37024: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ r: () => (/* binding */ render) /* harmony export */ }); -/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(41644); -/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(39354); -/* harmony import */ var _edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(52494); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(45625); -/* harmony import */ var _createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(76562); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(64218); +/* harmony import */ var dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(32304); +/* harmony import */ var dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(41520); +/* harmony import */ var _edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(79680); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(95536); +/* harmony import */ var _createText_423428c9_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(73748); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(37352); @@ -23903,15 +24155,15 @@ const clear$1 = () => { clusterDb = {}; }; const isDescendant = (id, ancenstorId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("In isDecendant", ancenstorId, " ", id, " = ", descendants[ancenstorId].includes(id)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("In isDecendant", ancenstorId, " ", id, " = ", descendants[ancenstorId].includes(id)); if (descendants[ancenstorId].includes(id)) { return true; } return false; }; const edgeInCluster = (edge, clusterId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Decendants of ", clusterId, " is ", descendants[clusterId]); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge is ", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Decendants of ", clusterId, " is ", descendants[clusterId]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge is ", edge); if (edge.v === clusterId) { return false; } @@ -23919,13 +24171,13 @@ const edgeInCluster = (edge, clusterId) => { return false; } if (!descendants[clusterId]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Tilt, ", clusterId, ",not in decendants"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Tilt, ", clusterId, ",not in decendants"); return false; } return descendants[clusterId].includes(edge.v) || isDescendant(edge.v, clusterId) || isDescendant(edge.w, clusterId) || descendants[clusterId].includes(edge.w); }; const copy = (clusterId, graph, newGraph, rootId) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Copying children of ", clusterId, "root", @@ -23938,24 +24190,24 @@ const copy = (clusterId, graph, newGraph, rootId) => { if (clusterId !== rootId) { nodes.push(clusterId); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Copying (nodes) clusterId", clusterId, "nodes", nodes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Copying (nodes) clusterId", clusterId, "nodes", nodes); nodes.forEach((node) => { if (graph.children(node).length > 0) { copy(node, graph, newGraph, rootId); } else { const data = graph.node(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("cp ", node, " to ", rootId, " with parent ", clusterId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("cp ", node, " to ", rootId, " with parent ", clusterId); newGraph.setNode(node, data); if (rootId !== graph.parent(node)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Setting parent", node, graph.parent(node)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Setting parent", node, graph.parent(node)); newGraph.setParent(node, graph.parent(node)); } if (clusterId !== rootId && node !== clusterId) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Setting parent", node, clusterId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Setting parent", node, clusterId); newGraph.setParent(node, clusterId); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("In copy ", clusterId, "root", rootId, "data", graph.node(clusterId), rootId); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("In copy ", clusterId, "root", rootId, "data", graph.node(clusterId), rootId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( "Not Setting parent for node=", node, "cluster!==rootId", @@ -23965,18 +24217,18 @@ const copy = (clusterId, graph, newGraph, rootId) => { ); } const edges = graph.edges(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Copying Edges", edges); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Copying Edges", edges); edges.forEach((edge) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge", edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge", edge); const data2 = graph.edge(edge.v, edge.w, edge.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge data", data2, rootId); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge data", data2, rootId); try { if (edgeInCluster(edge, rootId)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Copying as ", edge.v, edge.w, data2, edge.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Copying as ", edge.v, edge.w, data2, edge.name); newGraph.setEdge(edge.v, edge.w, data2, edge.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("newGraph edges ", newGraph.edges(), newGraph.edge(newGraph.edges()[0])); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("newGraph edges ", newGraph.edges(), newGraph.edge(newGraph.edges()[0])); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info( "Skipping copy of edge ", edge.v, "-->", @@ -23988,11 +24240,11 @@ const copy = (clusterId, graph, newGraph, rootId) => { ); } } catch (e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error(e); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error(e); } }); } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Removing node", node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Removing node", node); graph.removeNode(node); }); }; @@ -24006,17 +24258,17 @@ const extractDescendants = (id, graph) => { return res; }; const findNonClusterChild = (id, graph) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching", id); const children = graph.children(id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching children of id ", id, children); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Searching children of id ", id, children); if (children.length < 1) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("This is a valid node", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("This is a valid node", id); return id; } for (const child of children) { const _id = findNonClusterChild(child, graph); if (_id) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Found replacement for", id, " => ", _id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Found replacement for", id, " => ", _id); return _id; } } @@ -24035,15 +24287,15 @@ const getAnchorId = (id) => { }; const adjustClustersAndEdges = (graph, depth) => { if (!graph || depth > 10) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting out, no graph "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting out, no graph "); return; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting in, graph "); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Opting in, graph "); } graph.nodes().forEach(function(id) { const children = graph.children(id); if (children.length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster identified", id, " Replacement id in edges: ", @@ -24057,29 +24309,36 @@ const adjustClustersAndEdges = (graph, depth) => { const children = graph.children(id); const edges = graph.edges(); if (children.length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Cluster identified", id, descendants); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Cluster identified", id, descendants); edges.forEach((edge) => { if (edge.v !== id && edge.w !== id) { const d1 = isDescendant(edge.v, id); const d2 = isDescendant(edge.w, id); if (d1 ^ d2) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge: ", edge, " leaves cluster ", id); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Decendants of XXX ", id, ": ", descendants[id]); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge: ", edge, " leaves cluster ", id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Decendants of XXX ", id, ": ", descendants[id]); clusterDb[id].externalConnections = true; } } }); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster ", id, descendants); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster ", id, descendants); } }); + for (let id of Object.keys(clusterDb)) { + const nonClusterChild = clusterDb[id].id; + const parent = graph.parent(nonClusterChild); + if (parent !== id && clusterDb[parent] && !clusterDb[parent].externalConnections) { + clusterDb[id].id = parent; + } + } graph.edges().forEach(function(e) { const edge = graph.edge(e); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(graph.edge(e))); let v = e.v; let w = e.w; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Fix XXX", clusterDb, "ids:", @@ -24091,8 +24350,8 @@ const adjustClustersAndEdges = (graph, depth) => { clusterDb[e.w] ); if (clusterDb[e.v] && clusterDb[e.w] && clusterDb[e.v] === clusterDb[e.w]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing link to self - removing XXX", e.v, e.w, e.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing link to self - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); v = getAnchorId(e.v); w = getAnchorId(e.w); graph.removeEdge(e.v, e.w, e.name); @@ -24116,28 +24375,32 @@ const adjustClustersAndEdges = (graph, depth) => { graph.setEdge(v, specialId, edge1, e.name + "-cyclic-special"); graph.setEdge(specialId, w, edge2, e.name + "-cyclic-special"); } else if (clusterDb[e.v] || clusterDb[e.w]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing and trixing - removing XXX", e.v, e.w, e.name); v = getAnchorId(e.v); w = getAnchorId(e.w); graph.removeEdge(e.v, e.w, e.name); if (v !== e.v) { + const parent = graph.parent(v); + clusterDb[parent].externalConnections = true; edge.fromCluster = e.v; } if (w !== e.w) { + const parent = graph.parent(w); + clusterDb[parent].externalConnections = true; edge.toCluster = e.w; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fix Replacing with XXX", v, w, e.name); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fix Replacing with XXX", v, w, e.name); graph.setEdge(v, w, edge, e.name); } }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Adjusted Graph", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Adjusted Graph", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); extractor(graph, 0); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace(clusterDb); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace(clusterDb); }; const extractor = (graph, depth) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("extractor - ", depth, dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph), graph.children("D")); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("extractor - ", depth, dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph), graph.children("D")); if (depth > 10) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.error("Bailing out"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.error("Bailing out"); return; } let nodes = graph.nodes(); @@ -24147,12 +24410,12 @@ const extractor = (graph, depth) => { hasChildren = hasChildren || children.length > 0; } if (!hasChildren) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Done, no node has children", graph.nodes()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Done, no node has children", graph.nodes()); return; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Nodes = ", nodes, depth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Nodes = ", nodes, depth); for (const node of nodes) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug( "Extracting node", node, clusterDb, @@ -24164,10 +24427,10 @@ const extractor = (graph, depth) => { depth ); if (!clusterDb[node]) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster", node, depth); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Not a cluster", node, depth); } else if (!clusterDb[node].externalConnections && // !graph.parent(node) && graph.children(node) && graph.children(node).length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster without external connections, without a parent and with children", node, depth @@ -24176,9 +24439,9 @@ const extractor = (graph, depth) => { let dir = graphSettings.rankdir === "TB" ? "LR" : "TB"; if (clusterDb[node] && clusterDb[node].clusterData && clusterDb[node].clusterData.dir) { dir = clusterDb[node].clusterData.dir; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing dir", clusterDb[node].clusterData.dir, dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Fixing dir", clusterDb[node].clusterData.dir, dir); } - const clusterGraph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .k({ + const clusterGraph = new dagre_d3_es_src_graphlib_index_js__WEBPACK_IMPORTED_MODULE_2__/* .Graph */ .M({ multigraph: true, compound: true }).setGraph({ @@ -24191,7 +24454,7 @@ const extractor = (graph, depth) => { }).setDefaultEdgeLabel(function() { return {}; }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Old graph before copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Old graph before copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); copy(node, graph, clusterGraph, node); graph.setNode(node, { clusterNode: true, @@ -24200,10 +24463,10 @@ const extractor = (graph, depth) => { labelText: clusterDb[node].labelText, graph: clusterGraph }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New graph after copy node: (", node, ")", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(clusterGraph)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Old graph after copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New graph after copy node: (", node, ")", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(clusterGraph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug("Old graph after copy", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn( "Cluster ** ", node, " **not meeting the criteria !externalConnections:", @@ -24215,14 +24478,14 @@ const extractor = (graph, depth) => { graph.children("D"), depth ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(clusterDb); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(clusterDb); } } nodes = graph.nodes(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New list of nodes", nodes); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("New list of nodes", nodes); for (const node of nodes) { const data = graph.node(node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn(" Now next level", node, data); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn(" Now next level", node, data); if (data.clusterNode) { extractor(data.graph, depth + 1); } @@ -24242,16 +24505,17 @@ const sorter = (graph, nodes) => { }; const sortNodesByHierarchy = (graph) => sorter(graph, graph.children()); const rect = (parent, node) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Creating subgraph rect for ", node.id, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Creating subgraph rect for ", node.id, node); + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const shapeSvg = parent.insert("g").attr("class", "cluster" + (node.class ? " " + node.class : "")).attr("id", node.id); const rect2 = shapeSvg.insert("rect", ":first-child"); - const useHtmlLabels = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels); + const useHtmlLabels = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels); const label = shapeSvg.insert("g").attr("class", "cluster-label"); - const text = node.labelType === "markdown" ? (0,_createText_a48a4c90_js__WEBPACK_IMPORTED_MODULE_5__.a)(label, node.labelText, { style: node.labelStyle, useHtmlLabels }) : label.node().appendChild((0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); + const text = node.labelType === "markdown" ? (0,_createText_423428c9_js__WEBPACK_IMPORTED_MODULE_5__.a)(label, node.labelText, { style: node.labelStyle, useHtmlLabels }) : label.node().appendChild((0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); let bbox = text.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -24264,26 +24528,27 @@ const rect = (parent, node) => { } else { node.diff = -node.padding / 2; } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Data ", node, JSON.stringify(node)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Data ", node, JSON.stringify(node)); rect2.attr("style", node.style).attr("rx", node.rx).attr("ry", node.ry).attr("x", node.x - width / 2).attr("y", node.y - node.height / 2 - halfPadding).attr("width", width).attr("height", node.height + padding); + const { subGraphTitleTopMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); if (useHtmlLabels) { label.attr( "transform", // This puts the labal on top of the box instead of inside it - "translate(" + (node.x - bbox.width / 2) + ", " + (node.y - node.height / 2) + ")" + `translate(${node.x - bbox.width / 2}, ${node.y - node.height / 2 + subGraphTitleTopMargin})` ); } else { label.attr( "transform", // This puts the labal on top of the box instead of inside it - "translate(" + node.x + ", " + (node.y - node.height / 2) + ")" + `translate(${node.x}, ${node.y - node.height / 2 + subGraphTitleTopMargin})` ); } const rectBox = rect2.node().getBBox(); node.width = rectBox.width; node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; @@ -24297,20 +24562,21 @@ const noteGroup = (parent, node) => { node.width = rectBox.width; node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; const roundedWithTitle = (parent, node) => { + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); const shapeSvg = parent.insert("g").attr("class", node.classes).attr("id", node.id); const rect2 = shapeSvg.insert("rect", ":first-child"); const label = shapeSvg.insert("g").attr("class", "cluster-label"); const innerRect = shapeSvg.append("rect"); - const text = label.node().appendChild((0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); + const text = label.node().appendChild((0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.c)(node.labelText, node.labelStyle, void 0, true)); let bbox = text.getBBox(); - if ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels)) { + if ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels)) { const div = text.children[0]; - const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .Ys)(text); + const dv = (0,d3__WEBPACK_IMPORTED_MODULE_3__/* .select */ .MlD)(text); bbox = div.getBoundingClientRect(); dv.attr("width", bbox.width); dv.attr("height", bbox.height); @@ -24326,14 +24592,15 @@ const roundedWithTitle = (parent, node) => { } rect2.attr("class", "outer").attr("x", node.x - width / 2 - halfPadding).attr("y", node.y - node.height / 2 - halfPadding).attr("width", width + padding).attr("height", node.height + padding); innerRect.attr("class", "inner").attr("x", node.x - width / 2 - halfPadding).attr("y", node.y - node.height / 2 - halfPadding + bbox.height - 1).attr("width", width + padding).attr("height", node.height + padding - bbox.height - 3); + const { subGraphTitleTopMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); label.attr( "transform", - "translate(" + (node.x - bbox.width / 2) + ", " + (node.y - node.height / 2 - node.padding / 3 + ((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.m)((0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().flowchart.htmlLabels) ? 5 : 3)) + ")" + `translate(${node.x - bbox.width / 2}, ${node.y - node.height / 2 - node.padding / 3 + ((0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.m)(siteConfig.flowchart.htmlLabels) ? 5 : 3) + subGraphTitleTopMargin})` ); const rectBox = rect2.node().getBBox(); node.height = rectBox.height; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; @@ -24348,32 +24615,32 @@ const divider = (parent, node) => { node.height = rectBox.height; node.diff = -node.padding / 2; node.intersect = function(point) { - return (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); + return (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.i)(node, point); }; return shapeSvg; }; const shapes = { rect, roundedWithTitle, noteGroup, divider }; let clusterElems = {}; const insertCluster = (elem, node) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Inserting cluster"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Inserting cluster"); const shape = node.shape || "rect"; clusterElems[node.id] = shapes[shape](elem, node); }; const clear = () => { clusterElems = {}; }; -const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph in recursive render: XXX", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph), parentCluster); +const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster, siteConfig) => { + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph in recursive render: XXX", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph), parentCluster); const dir = graph.graph().rankdir; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Dir in recursive render - dir:", dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Dir in recursive render - dir:", dir); const elem = _elem.insert("g").attr("class", "root"); if (!graph.nodes()) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("No nodes found for", graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("No nodes found for", graph); } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Recursive render XXX", graph.nodes()); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Recursive render XXX", graph.nodes()); } if (graph.edges().length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Recursive edges", graph.edge(graph.edges()[0])); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Recursive edges", graph.edge(graph.edges()[0])); } const clusters = elem.insert("g").attr("class", "clusters"); const edgePaths = elem.insert("g").attr("class", "edgePaths"); @@ -24384,56 +24651,64 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => const node = graph.node(v); if (parentCluster !== void 0) { const data = JSON.parse(JSON.stringify(parentCluster.clusterData)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Setting data for cluster XXX (", v, ") ", data, parentCluster); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Setting data for cluster XXX (", v, ") ", data, parentCluster); graph.setNode(parentCluster.id, data); if (!graph.parent(v)) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Setting parent", v, parentCluster.id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.trace("Setting parent", v, parentCluster.id); graph.setParent(v, parentCluster.id, data); } } - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("(Insert) Node XXX" + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("(Insert) Node XXX" + v + ": " + JSON.stringify(graph.node(v))); if (node && node.clusterNode) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster identified", v, node.width, graph.node(v)); - const o = await recursiveRender(nodes, node.graph, diagramtype, id, graph.node(v)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster identified", v, node.width, graph.node(v)); + const o = await recursiveRender( + nodes, + node.graph, + diagramtype, + id, + graph.node(v), + siteConfig + ); const newEl = o.elem; - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.u)(node, newEl); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.u)(node, newEl); node.diff = o.diff || 0; - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node bounds (abc123)", v, node, node.width, node.x, node.y); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.s)(newEl, node); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Recursive render complete ", newEl, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node bounds (abc123)", v, node, node.width, node.x, node.y); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.s)(newEl, node); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Recursive render complete ", newEl, node); } else { if (graph.children(v).length > 0) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster - the non recursive path XXX", v, node.id, node, graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(findNonClusterChild(node.id, graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Cluster - the non recursive path XXX", v, node.id, node, graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(findNonClusterChild(node.id, graph)); clusterDb[node.id] = { id: findNonClusterChild(node.id, graph), node }; } else { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node - the non recursive path", v, node.id, node); - await (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, graph.node(v), dir); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Node - the non recursive path", v, node.id, node); + await (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.e)(nodes, graph.node(v), dir); } } }) ); graph.edges().forEach(function(e) { const edge = graph.edge(e.v, e.w, e.name); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": ", e, " ", JSON.stringify(graph.edge(e))); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Fix", clusterDb, "ids:", e.v, e.w, "Translateing: ", clusterDb[e.v], clusterDb[e.w]); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.f)(edgeLabels, edge); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": ", e, " ", JSON.stringify(graph.edge(e))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Fix", clusterDb, "ids:", e.v, e.w, "Translateing: ", clusterDb[e.v], clusterDb[e.w]); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.f)(edgeLabels, edge); }); graph.edges().forEach(function(e) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(e)); }); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("### Layout ###"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(graph); - (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__/* .layout */ .bK)(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph after layout:", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("### Layout ###"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("#############################################"); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(graph); + (0,dagre_d3_es_src_dagre_index_js__WEBPACK_IMPORTED_MODULE_0__/* .layout */ .cn)(graph); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Graph after layout:", dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph)); let diff = 0; + const { subGraphTitleTotalMargin } = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.g)(siteConfig); sortNodesByHierarchy(graph).forEach(function(v) { const node = graph.node(v); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Position " + v + ": " + JSON.stringify(graph.node(v))); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info( + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Position " + v + ": " + JSON.stringify(graph.node(v))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info( "Position " + v + ": (" + node.x, "," + node.y, ") width: ", @@ -24442,25 +24717,29 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => node.height ); if (node && node.clusterNode) { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); + node.y += subGraphTitleTotalMargin; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); } else { if (graph.children(v).length > 0) { + node.height += subGraphTitleTotalMargin; insertCluster(clusters, node); clusterDb[node.id].node = node; } else { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); + node.y += subGraphTitleTotalMargin / 2; + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.p)(node); } } }); graph.edges().forEach(function(e) { const edge = graph.edge(e); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(edge), edge); - const paths = (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.g)(edgePaths, e, edge, clusterDb, diagramtype, graph, id); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.h)(edge, paths); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info("Edge " + e.v + " -> " + e.w + ": " + JSON.stringify(edge), edge); + edge.points.forEach((point) => point.y += subGraphTitleTotalMargin / 2); + const paths = (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.h)(edgePaths, e, edge, clusterDb, diagramtype, graph, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.j)(edge, paths); }); graph.nodes().forEach(function(v) { const n = graph.node(v); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.info(v, n.type, n.diff); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.info(v, n.type, n.diff); if (n.type === "group") { diff = n.diff; } @@ -24468,22 +24747,23 @@ const recursiveRender = async (_elem, graph, diagramtype, id, parentCluster) => return { elem, diff }; }; const render = async (elem, graph, markers, diagramtype, id) => { - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.a)(elem, markers, diagramtype, id); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.b)(); - (0,_edges_5ec2587c_js__WEBPACK_IMPORTED_MODULE_6__.d)(); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.a)(elem, markers, diagramtype, id); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.b)(); + (0,_edges_d417c7a0_js__WEBPACK_IMPORTED_MODULE_6__.d)(); clear(); clear$1(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph at first:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph))); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph at first:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph))); adjustClustersAndEdges(graph); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph after:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .c(graph))); - await recursiveRender(elem, graph, diagramtype, id); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.warn("Graph after:", JSON.stringify(dagre_d3_es_src_graphlib_json_js__WEBPACK_IMPORTED_MODULE_1__/* .write */ .G(graph))); + const siteConfig = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)(); + await recursiveRender(elem, graph, diagramtype, id, void 0, siteConfig); }; /***/ }), -/***/ 42924: +/***/ 73448: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -24491,8 +24771,8 @@ const render = async (elem, graph, markers, diagramtype, id) => { /* harmony export */ p: () => (/* binding */ parser$1), /* harmony export */ s: () => (/* binding */ styles) /* harmony export */ }); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); var parser = function() { @@ -25406,15 +25686,15 @@ class ClassMember { this.memberType = memberType; this.visibility = ""; this.classifier = ""; - const sanitizedInput = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.d)(input, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const sanitizedInput = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.d)(input, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); this.parseMember(sanitizedInput); } getDisplayDetails() { - let displayText = this.visibility + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.id); + let displayText = this.visibility + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.id); if (this.memberType === "method") { - displayText += `(${(0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.parameters.trim())})`; + displayText += `(${(0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.parameters.trim())})`; if (this.returnType) { - displayText += " : " + (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.returnType); + displayText += " : " + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.v)(this.returnType); } } displayText = displayText.trim(); @@ -25482,9 +25762,9 @@ let classCounter = 0; let namespaces = {}; let namespaceCounter = 0; let functions = []; -const sanitizeText = (txt) => _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); +const sanitizeText = (txt) => _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(txt, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); const splitClassNameAndType = function(_id) { - const id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); let genericType = ""; let className = id; if (id.indexOf("~") > 0) { @@ -25495,7 +25775,7 @@ const splitClassNameAndType = function(_id) { return { className, type: genericType }; }; const setClassLabel = function(_id, label) { - const id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); if (label) { label = sanitizeText(label); } @@ -25503,12 +25783,12 @@ const setClassLabel = function(_id, label) { classes[className].label = label; }; const addClass = function(_id) { - const id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); const { className, type } = splitClassNameAndType(id); if (Object.hasOwn(classes, className)) { return; } - const name = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(className, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const name = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(className, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); classes[name] = { id: name, type, @@ -25523,7 +25803,7 @@ const addClass = function(_id) { classCounter++; }; const lookUpDomId = function(_id) { - const id = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const id = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_id, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); if (id in classes) { return classes[id].domId; } @@ -25537,7 +25817,7 @@ const clear = function() { functions.push(setupToolTips); namespaces = {}; namespaceCounter = 0; - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.t)(); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.t)(); }; const getClass = function(id) { return classes[id]; @@ -25552,13 +25832,13 @@ const getNotes = function() { return notes; }; const addRelation = function(relation) { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Adding relation: " + JSON.stringify(relation)); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.l.debug("Adding relation: " + JSON.stringify(relation)); addClass(relation.id1); addClass(relation.id2); relation.id1 = splitClassNameAndType(relation.id1).className; relation.id2 = splitClassNameAndType(relation.id2).className; - relation.relationTitle1 = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(relation.relationTitle1.trim(), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); - relation.relationTitle2 = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(relation.relationTitle2.trim(), (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + relation.relationTitle1 = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(relation.relationTitle1.trim(), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + relation.relationTitle2 = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(relation.relationTitle2.trim(), (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); relations.push(relation); }; const addAnnotation = function(className, annotation) { @@ -25625,14 +25905,14 @@ const getTooltip = function(id, namespace) { return classes[id].tooltip; }; const setLink = function(ids, linkStr, target) { - const config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); ids.split(",").forEach(function(_id) { let id = _id; if (_id[0].match(/\d/)) { id = MERMAID_DOM_ID_PREFIX + id; } if (classes[id] !== void 0) { - classes[id].link = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); + classes[id].link = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.formatUrl(linkStr, config); if (config.securityLevel === "sandbox") { classes[id].linkTarget = "_top"; } else if (typeof target === "string") { @@ -25652,8 +25932,8 @@ const setClickEvent = function(ids, functionName, functionArgs) { setCssClass(ids, "clickable"); }; const setClickFunc = function(_domId, functionName, functionArgs) { - const domId = _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_domId, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)()); - const config = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)(); + const domId = _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.e.sanitizeText(_domId, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)()); + const config = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)(); if (config.securityLevel !== "loose") { return; } @@ -25683,7 +25963,7 @@ const setClickFunc = function(_domId, functionName, functionArgs) { elem.addEventListener( "click", function() { - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.u.runFunc(functionName, ...argList); }, false ); @@ -25708,14 +25988,14 @@ const relationType = { LOLLIPOP: 4 }; const setupToolTips = function(element) { - let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(".mermaidTooltip"); + let tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(".mermaidTooltip"); if ((tooltipElem._groups || tooltipElem)[0][0] === null) { - tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); + tooltipElem = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body").append("div").attr("class", "mermaidTooltip").style("opacity", 0); } - const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(element).select("svg"); + const svg = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(element).select("svg"); const nodes = svg.selectAll("g.node"); nodes.on("mouseover", function() { - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); const title = el.attr("title"); if (title === null) { return; @@ -25727,7 +26007,7 @@ const setupToolTips = function(element) { el.classed("hover", true); }).on("mouseout", function() { tooltipElem.transition().duration(500).style("opacity", 0); - const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(this); + const el = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(this); el.classed("hover", false); }); }; @@ -25779,11 +26059,11 @@ const setCssStyle = function(id, styles2) { } }; const db = { - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.g, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.b, - getConfig: () => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.c)().class, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.g, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.b, + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.c)().class, addClass, bindFunctions, clear, @@ -25807,8 +26087,8 @@ const db = { getTooltip, setTooltip, lookUpDomId, - setDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.q, - getDiagramTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.r, + setDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.q, + getDiagramTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.r, setClassLabel, addNamespace, addClassesToNamespace, diff --git a/assets/js/973.38e5f45c.js b/assets/js/944.688f2cc2.js similarity index 97% rename from assets/js/973.38e5f45c.js rename to assets/js/944.688f2cc2.js index 3d228d871..5961c1665 100644 --- a/assets/js/973.38e5f45c.js +++ b/assets/js/944.688f2cc2.js @@ -1,20 +1,20 @@ "use strict"; -exports.id = 973; -exports.ids = [973]; +exports.id = 944; +exports.ids = [944]; exports.modules = { -/***/ 7973: +/***/ 58944: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { /* harmony export */ diagram: () => (/* binding */ diagram) /* harmony export */ }); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(24743); -/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(64218); -/* harmony import */ var _svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(72015); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(17967); -/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(27484); -/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(22424); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(79010); +/* harmony import */ var d3__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(37352); +/* harmony import */ var _svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(30291); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(86208); +/* harmony import */ var dayjs__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(62264); +/* harmony import */ var dompurify__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(57776); @@ -953,7 +953,7 @@ const getC4Type = function() { return c4Type; }; const setC4Type = function(c4TypeParam) { - let sanitizedText = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.d)(c4TypeParam, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + let sanitizedText = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.d)(c4TypeParam, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); c4Type = sanitizedText; }; const addRel = function(type, from, to, label, techn, descr, sprite, tags, link) { @@ -1574,7 +1574,7 @@ const PLACEMENT = { OVER: 2 }; const setTitle = function(txt) { - let sanitizedText = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.d)(txt, (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)()); + let sanitizedText = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.d)(txt, (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)()); title = sanitizedText; }; const db = { @@ -1602,11 +1602,11 @@ const db = { getC4Type, getC4ShapeInRow, getC4BoundaryInRow, - setAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.s, - getAccTitle: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.g, - getAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.a, - setAccDescription: _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.b, - getConfig: () => (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().c4, + setAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.s, + getAccTitle: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.g, + getAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.a, + setAccDescription: _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.b, + getConfig: () => (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().c4, clear, LINETYPE, ARROWTYPE, @@ -1616,7 +1616,7 @@ const db = { // apply, }; const drawRect = function(elem, rectData) { - return (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.d)(elem, rectData); + return (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.d)(elem, rectData); }; const drawImage = function(elem, width, height, x, y, link) { const imageElem = elem.append("image"); @@ -1624,7 +1624,7 @@ const drawImage = function(elem, width, height, x, y, link) { imageElem.attr("height", height); imageElem.attr("x", x); imageElem.attr("y", y); - let sanitizedLink = link.startsWith("data:image/png;base64") ? link : (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__/* .sanitizeUrl */ .Nm)(link); + let sanitizedLink = link.startsWith("data:image/png;base64") ? link : (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_1__/* .sanitizeUrl */ .oR)(link); imageElem.attr("xlink:href", sanitizedLink); }; const drawRels$1 = (elem, rels2, conf2) => { @@ -1775,7 +1775,7 @@ const drawC4Shape = function(elem, c4Shape, conf2) { } const c4ShapeElem = elem.append("g"); c4ShapeElem.attr("class", "person-man"); - const rect = (0,_svgDrawCommon_92a8ff2b_js__WEBPACK_IMPORTED_MODULE_5__.g)(); + const rect = (0,_svgDrawCommon_0ee1b4e9_js__WEBPACK_IMPORTED_MODULE_5__.g)(); switch (c4Shape.typeC4Shape.text) { case "person": case "external_person": @@ -1947,7 +1947,7 @@ const _drawTextCandidateFunc = function() { } function byTspan(content, g, x, y, width, height, textAttrs, conf2) { const { fontSize, fontFamily, fontWeight } = conf2; - const lines = content.split(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); + const lines = content.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); for (let i = 0; i < lines.length; i++) { const dy = i * fontSize - fontSize * (lines.length - 1) / 2; const text = g.append("text").attr("x", x + width / 2).attr("y", y).style("text-anchor", "middle").attr("dominant-baseline", "middle").style("font-size", fontSize).style("font-weight", fontWeight).style("font-family", fontFamily); @@ -2073,7 +2073,7 @@ class Bounds { } } const setConf = function(cnf) { - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.f)(conf, cnf); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.f)(conf, cnf); if (cnf.fontFamily) { conf.personFontFamily = conf.systemFontFamily = conf.messageFontFamily = cnf.fontFamily; } @@ -2108,22 +2108,22 @@ const messageFont = (cnf) => { function calcC4ShapeTextWH(textType, c4Shape, c4ShapeTextWrap, textConf, textLimitWidth) { if (!c4Shape[textType].width) { if (c4ShapeTextWrap) { - c4Shape[textType].text = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.w)(c4Shape[textType].text, textLimitWidth, textConf); - c4Shape[textType].textLines = c4Shape[textType].text.split(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex).length; + c4Shape[textType].text = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.w)(c4Shape[textType].text, textLimitWidth, textConf); + c4Shape[textType].textLines = c4Shape[textType].text.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex).length; c4Shape[textType].width = textLimitWidth; - c4Shape[textType].height = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.j)(c4Shape[textType].text, textConf); + c4Shape[textType].height = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.j)(c4Shape[textType].text, textConf); } else { - let lines = c4Shape[textType].text.split(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); + let lines = c4Shape[textType].text.split(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.e.lineBreakRegex); c4Shape[textType].textLines = lines.length; let lineHeight = 0; c4Shape[textType].height = 0; c4Shape[textType].width = 0; for (const line of lines) { c4Shape[textType].width = Math.max( - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.h)(line, textConf), + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.h)(line, textConf), c4Shape[textType].width ); - lineHeight = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.j)(line, textConf); + lineHeight = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.j)(line, textConf); c4Shape[textType].height = c4Shape[textType].height + lineHeight; } } @@ -2139,7 +2139,7 @@ const drawBoundary = function(diagram2, boundary, bounds) { let boundaryLabelConf = boundaryFont(conf); boundaryLabelConf.fontSize = boundaryLabelConf.fontSize + 2; boundaryLabelConf.fontWeight = "bold"; - let textLimitWidth = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.h)(boundary.label.text, boundaryLabelConf); + let textLimitWidth = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.h)(boundary.label.text, boundaryLabelConf); calcC4ShapeTextWH("label", boundary, boundaryTextWrap, boundaryLabelConf, textLimitWidth); svgDraw.drawBoundary(diagram2, boundary, conf); }; @@ -2150,7 +2150,7 @@ const drawC4ShapeArray = function(currentBounds, diagram2, c4ShapeArray2, c4Shap const c4Shape = c4ShapeArray2[c4ShapeKey]; let c4ShapeTypeConf = c4ShapeFont(conf, c4Shape.typeC4Shape.text); c4ShapeTypeConf.fontSize = c4ShapeTypeConf.fontSize - 2; - c4Shape.typeC4Shape.width = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.h)( + c4Shape.typeC4Shape.width = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.h)( "«" + c4Shape.typeC4Shape.text + "»", c4ShapeTypeConf ); @@ -2293,14 +2293,14 @@ const drawRels = function(diagram2, rels2, getC4ShapeObj, diagObj) { if (diagramType === "C4Dynamic") { rel.label.text = i + ": " + rel.label.text; } - let textLimitWidth = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.h)(rel.label.text, relConf); + let textLimitWidth = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.h)(rel.label.text, relConf); calcC4ShapeTextWH("label", rel, relTextWrap, relConf, textLimitWidth); if (rel.techn && rel.techn.text !== "") { - textLimitWidth = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.h)(rel.techn.text, relConf); + textLimitWidth = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.h)(rel.techn.text, relConf); calcC4ShapeTextWH("techn", rel, relTextWrap, relConf, textLimitWidth); } if (rel.descr && rel.descr.text !== "") { - textLimitWidth = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.h)(rel.descr.text, relConf); + textLimitWidth = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.h)(rel.descr.text, relConf); calcC4ShapeTextWH("descr", rel, relTextWrap, relConf, textLimitWidth); } let fromNode = getC4ShapeObj(rel.from); @@ -2409,19 +2409,19 @@ function drawInsideBoundary(diagram2, parentBoundaryAlias, parentBounds, current } } const draw = function(_text, id, _version, diagObj) { - conf = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().c4; - const securityLevel = (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.c)().securityLevel; + conf = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().c4; + const securityLevel = (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.c)().securityLevel; let sandboxElement; if (securityLevel === "sandbox") { - sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("#i" + id); + sandboxElement = (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("#i" + id); } - const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)("body"); + const root = securityLevel === "sandbox" ? (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(sandboxElement.nodes()[0].contentDocument.body) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)("body"); let db2 = diagObj.db; diagObj.db.setWrap(conf.wrap); c4ShapeInRow = db2.getC4ShapeInRow(); c4BoundaryInRow = db2.getC4BoundaryInRow(); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`C:${JSON.stringify(conf, null, 2)}`); - const diagram2 = securityLevel === "sandbox" ? root.select(`[id="${id}"]`) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .Ys)(`[id="${id}"]`); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`C:${JSON.stringify(conf, null, 2)}`); + const diagram2 = securityLevel === "sandbox" ? root.select(`[id="${id}"]`) : (0,d3__WEBPACK_IMPORTED_MODULE_0__/* .select */ .MlD)(`[id="${id}"]`); svgDraw.insertComputerIcon(diagram2); svgDraw.insertDatabaseIcon(diagram2); svgDraw.insertClockIcon(diagram2); @@ -2453,13 +2453,13 @@ const draw = function(_text, id, _version, diagObj) { if (title2) { diagram2.append("text").text(title2).attr("x", (box.stopx - box.startx) / 2 - 4 * conf.diagramMarginX).attr("y", box.starty + conf.diagramMarginY); } - (0,_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.i)(diagram2, height, width, conf.useMaxWidth); + (0,_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.i)(diagram2, height, width, conf.useMaxWidth); const extraVertForTitle = title2 ? 60 : 0; diagram2.attr( "viewBox", box.startx - conf.diagramMarginX + " -" + (conf.diagramMarginY + extraVertForTitle) + " " + width + " " + (height + extraVertForTitle) ); - _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`models:`, box); + _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_4__.l.debug(`models:`, box); }; const renderer = { drawPersonOrSystemArray: drawC4ShapeArray, @@ -2488,7 +2488,7 @@ const diagram = { /***/ }), -/***/ 72015: +/***/ 30291: /***/ ((__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) => { /* harmony export */ __webpack_require__.d(__webpack_exports__, { @@ -2500,8 +2500,8 @@ const diagram = { /* harmony export */ f: () => (/* binding */ drawText), /* harmony export */ g: () => (/* binding */ getNoteRect) /* harmony export */ }); -/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(17967); -/* harmony import */ var _mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(24743); +/* harmony import */ var _braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(86208); +/* harmony import */ var _mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(79010); const drawRect = (element, rectData) => { @@ -2536,7 +2536,7 @@ const drawBackgroundRect = (element, bounds) => { rectElement.lower(); }; const drawText = (element, textData) => { - const nText = textData.text.replace(_mermaid_04fb0060_js__WEBPACK_IMPORTED_MODULE_1__.H, " "); + const nText = textData.text.replace(_mermaid_0603ccf8_js__WEBPACK_IMPORTED_MODULE_1__.G, " "); const textElem = element.append("text"); textElem.attr("x", textData.x); textElem.attr("y", textData.y); @@ -2552,14 +2552,14 @@ const drawImage = (elem, x, y, link) => { const imageElement = elem.append("image"); imageElement.attr("x", x); imageElement.attr("y", y); - const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .Nm)(link); + const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .oR)(link); imageElement.attr("xlink:href", sanitizedLink); }; const drawEmbeddedImage = (element, x, y, link) => { const imageElement = element.append("use"); imageElement.attr("x", x); imageElement.attr("y", y); - const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .Nm)(link); + const sanitizedLink = (0,_braintree_sanitize_url__WEBPACK_IMPORTED_MODULE_0__/* .sanitizeUrl */ .oR)(link); imageElement.attr("xlink:href", `#${sanitizedLink}`); }; const getNoteRect = () => { diff --git a/assets/js/9492.5764d491.js b/assets/js/9492.5764d491.js deleted file mode 100644 index c4e96c626..000000000 --- a/assets/js/9492.5764d491.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[9492],{2614:(e,n,t)=>{t.d(n,{Z:()=>x});var r=t(87462),o=t(63366),i=t(67294);function a(e){var n,t,r="";if("string"==typeof e||"number"==typeof e)r+=e;else if("object"==typeof e)if(Array.isArray(e)){var o=e.length;for(n=0;n"theme"!==e&&"sx"!==e&&"as"!==e})(l.Z);return i.forwardRef((function(e,i){const c=(0,d.Z)(t),l=(0,u.Z)(e),{className:v,component:g="div"}=l,w=(0,o.Z)(l,p);return(0,m.jsx)(h,(0,r.Z)({as:g,ref:i,className:s(v,f?f(a):a),theme:n&&c[n]||c},w))}))}({themeId:v.Z,defaultTheme:w,defaultClassName:g.root,generateClassName:f.Z.generate}),x=S},41181:(e,n,t)=>{t.d(n,{ZP:()=>M});var 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n(e){return"<p>"+t(e)+"</p>"}}(e.templates,this.displayFn),this.css=o.mixin({},c,e.appendTo?c.appendTo:{}),this.cssClasses=e.cssClasses=o.mixin({},c.defaultClasses,e.cssClasses||{}),this.cssClasses.prefix=e.cssClasses.formattedPrefix||o.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix);var n=o.className(this.cssClasses.prefix,this.cssClasses.dataset);this.$el=e.$menu&&e.$menu.find(n+"-"+this.name).length>0?a.element(e.$menu.find(n+"-"+this.name)[0]):a.element(u.dataset.replace("%CLASS%",this.name).replace("%PREFIX%",this.cssClasses.prefix).replace("%DATASET%",this.cssClasses.dataset)),this.$menu=e.$menu,this.clearCachedSuggestions()}h.extractDatasetName=function(e){return a.element(e).data(i)},h.extractValue=function(e){return a.element(e).data(r)},h.extractDatum=function(e){var t=a.element(e).data(s);return"string"==typeof t&&(t=JSON.parse(t)),t},o.mixin(h.prototype,l,{_render:function(e,t){if(this.$el){var n,c=this,l=[].slice.call(arguments,2);if(this.$el.empty(),n=t&&t.length,this._isEmpty=!n,!n&&this.templates.empty)this.$el.html(function(){var t=[].slice.call(arguments,0);return t=[{query:e,isEmpty:!0}].concat(t),c.templates.empty.apply(this,t)}.apply(this,l)).prepend(c.templates.header?h.apply(this,l):null).append(c.templates.footer?p.apply(this,l):null);else if(n)this.$el.html(function(){var e,n,l=[].slice.call(arguments,0),h=this,p=u.suggestions.replace("%PREFIX%",this.cssClasses.prefix).replace("%SUGGESTIONS%",this.cssClasses.suggestions);return e=a.element(p).css(this.css.suggestions),n=o.map(t,f),e.append.apply(e,n),e;function f(e){var t,n=u.suggestion.replace("%PREFIX%",h.cssClasses.prefix).replace("%SUGGESTION%",h.cssClasses.suggestion);return(t=a.element(n).attr({role:"option",id:["option",Math.floor(1e8*Math.random())].join("-")}).append(c.templates.suggestion.apply(this,[e].concat(l)))).data(i,c.name),t.data(r,c.displayFn(e)||void 0),t.data(s,JSON.stringify(e)),t.children().each((function(){a.element(this).css(h.css.suggestionChild)})),t}}.apply(this,l)).prepend(c.templates.header?h.apply(this,l):null).append(c.templates.footer?p.apply(this,l):null);else if(t&&!Array.isArray(t))throw new TypeError("suggestions must be an array");this.$menu&&this.$menu.addClass(this.cssClasses.prefix+(n?"with":"without")+"-"+this.name).removeClass(this.cssClasses.prefix+(n?"without":"with")+"-"+this.name),this.trigger("rendered",e)}function h(){var t=[].slice.call(arguments,0);return t=[{query:e,isEmpty:!n}].concat(t),c.templates.header.apply(this,t)}function p(){var t=[].slice.call(arguments,0);return t=[{query:e,isEmpty:!n}].concat(t),c.templates.footer.apply(this,t)}},getRoot:function(){return this.$el},update:function(e){function t(t){if(!this.canceled&&e===this.query){var n=[].slice.call(arguments,1);this.cacheSuggestions(e,t,n),this._render.apply(this,[e,t].concat(n))}}if(this.query=e,this.canceled=!1,this.shouldFetchFromCache(e))t.apply(this,[this.cachedSuggestions].concat(this.cachedRenderExtraArgs));else{var n=this,i=function(){n.canceled||n.source(e,t.bind(n))};if(this.debounce){clearTimeout(this.debounceTimeout),this.debounceTimeout=setTimeout((function(){n.debounceTimeout=null,i()}),this.debounce)}else i()}},cacheSuggestions:function(e,t,n){this.cachedQuery=e,this.cachedSuggestions=t,this.cachedRenderExtraArgs=n},shouldFetchFromCache:function(e){return this.cache&&this.cachedQuery===e&&this.cachedSuggestions&&this.cachedSuggestions.length},clearCachedSuggestions:function(){delete this.cachedQuery,delete this.cachedSuggestions,delete this.cachedRenderExtraArgs},cancel:function(){this.canceled=!0},clear:function(){this.$el&&(this.cancel(),this.$el.empty(),this.trigger("rendered",""))},isEmpty:function(){return this._isEmpty},destroy:function(){this.clearCachedSuggestions(),this.$el=null}}),e.exports=h},35445:(e,t,n)=>{"use strict";var i=n(85670),r=n(33855),s=n(6823),o=n(13312),a=n(47114);function u(e){var t,n,s,o=this;(e=e||{}).menu||i.error("menu is required"),i.isArray(e.datasets)||i.isObject(e.datasets)||i.error("1 or more datasets required"),e.datasets||i.error("datasets is required"),this.isOpen=!1,this.isEmpty=!0,this.minLength=e.minLength||0,this.templates={},this.appendTo=e.appendTo||!1,this.css=i.mixin({},a,e.appendTo?a.appendTo:{}),this.cssClasses=e.cssClasses=i.mixin({},a.defaultClasses,e.cssClasses||{}),this.cssClasses.prefix=e.cssClasses.formattedPrefix||i.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix),t=i.bind(this._onSuggestionClick,this),n=i.bind(this._onSuggestionMouseEnter,this),s=i.bind(this._onSuggestionMouseLeave,this);var c=i.className(this.cssClasses.prefix,this.cssClasses.suggestion);this.$menu=r.element(e.menu).on("mouseenter.aa",c,n).on("mouseleave.aa",c,s).on("click.aa",c,t),this.$container=e.appendTo?e.wrapper:this.$menu,e.templates&&e.templates.header&&(this.templates.header=i.templatify(e.templates.header),this.$menu.prepend(this.templates.header())),e.templates&&e.templates.empty&&(this.templates.empty=i.templatify(e.templates.empty),this.$empty=r.element('<div class="'+i.className(this.cssClasses.prefix,this.cssClasses.empty,!0)+'"></div>'),this.$menu.append(this.$empty),this.$empty.hide()),this.datasets=i.map(e.datasets,(function(t){return function(e,t,n){return new u.Dataset(i.mixin({$menu:e,cssClasses:n},t))}(o.$menu,t,e.cssClasses)})),i.each(this.datasets,(function(e){var t=e.getRoot();t&&0===t.parent().length&&o.$menu.append(t),e.onSync("rendered",o._onRendered,o)})),e.templates&&e.templates.footer&&(this.templates.footer=i.templatify(e.templates.footer),this.$menu.append(this.templates.footer()));var l=this;r.element(window).resize((function(){l._redraw()}))}i.mixin(u.prototype,s,{_onSuggestionClick:function(e){this.trigger("suggestionClicked",r.element(e.currentTarget))},_onSuggestionMouseEnter:function(e){var t=r.element(e.currentTarget);if(!t.hasClass(i.className(this.cssClasses.prefix,this.cssClasses.cursor,!0))){this._removeCursor();var n=this;setTimeout((function(){n._setCursor(t,!1)}),0)}},_onSuggestionMouseLeave:function(e){if(e.relatedTarget&&r.element(e.relatedTarget).closest("."+i.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).length>0)return;this._removeCursor(),this.trigger("cursorRemoved")},_onRendered:function(e,t){if(this.isEmpty=i.every(this.datasets,(function(e){return e.isEmpty()})),this.isEmpty)if(t.length>=this.minLength&&this.trigger("empty"),this.$empty)if(t.length<this.minLength)this._hide();else{var n=this.templates.empty({query:this.datasets[0]&&this.datasets[0].query});this.$empty.html(n),this.$empty.show(),this._show()}else i.any(this.datasets,(function(e){return e.templates&&e.templates.empty}))?t.length<this.minLength?this._hide():this._show():this._hide();else this.isOpen&&(this.$empty&&(this.$empty.empty(),this.$empty.hide()),t.length>=this.minLength?this._show():this._hide());this.trigger("datasetRendered")},_hide:function(){this.$container.hide()},_show:function(){this.$container.css("display","block"),this._redraw(),this.trigger("shown")},_redraw:function(){this.isOpen&&this.appendTo&&this.trigger("redrawn")},_getSuggestions:function(){return this.$menu.find(i.className(this.cssClasses.prefix,this.cssClasses.suggestion))},_getCursor:function(){return this.$menu.find(i.className(this.cssClasses.prefix,this.cssClasses.cursor)).first()},_setCursor:function(e,t){e.first().addClass(i.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).attr("aria-selected","true"),this.trigger("cursorMoved",t)},_removeCursor:function(){this._getCursor().removeClass(i.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).removeAttr("aria-selected")},_moveCursor:function(e){var t,n,i,r;this.isOpen&&(n=this._getCursor(),t=this._getSuggestions(),this._removeCursor(),-1!==(i=((i=t.index(n)+e)+1)%(t.length+1)-1)?(i<-1&&(i=t.length-1),this._setCursor(r=t.eq(i),!0),this._ensureVisible(r)):this.trigger("cursorRemoved"))},_ensureVisible:function(e){var t,n,i,r;n=(t=e.position().top)+e.height()+parseInt(e.css("margin-top"),10)+parseInt(e.css("margin-bottom"),10),i=this.$menu.scrollTop(),r=this.$menu.height()+parseInt(this.$menu.css("padding-top"),10)+parseInt(this.$menu.css("padding-bottom"),10),t<0?this.$menu.scrollTop(i+t):r<n&&this.$menu.scrollTop(i+(n-r))},close:function(){this.isOpen&&(this.isOpen=!1,this._removeCursor(),this._hide(),this.trigger("closed"))},open:function(){this.isOpen||(this.isOpen=!0,this.isEmpty||this._show(),this.trigger("opened"))},setLanguageDirection:function(e){this.$menu.css("ltr"===e?this.css.ltr:this.css.rtl)},moveCursorUp:function(){this._moveCursor(-1)},moveCursorDown:function(){this._moveCursor(1)},getDatumForSuggestion:function(e){var t=null;return e.length&&(t={raw:o.extractDatum(e),value:o.extractValue(e),datasetName:o.extractDatasetName(e)}),t},getCurrentCursor:function(){return this._getCursor().first()},getDatumForCursor:function(){return this.getDatumForSuggestion(this._getCursor().first())},getDatumForTopSuggestion:function(){return this.getDatumForSuggestion(this._getSuggestions().first())},cursorTopSuggestion:function(){this._setCursor(this._getSuggestions().first(),!1)},update:function(e){i.each(this.datasets,(function(t){t.update(e)}))},empty:function(){i.each(this.datasets,(function(e){e.clear()})),this.isEmpty=!0},isVisible:function(){return this.isOpen&&!this.isEmpty},destroy:function(){this.$menu.off(".aa"),this.$menu=null,i.each(this.datasets,(function(e){e.destroy()}))}}),u.Dataset=o,e.exports=u},47368:(e,t,n)=>{"use strict";var i=n(85670),r=n(33855);function s(e){e&&e.el||i.error("EventBus initialized without el"),this.$el=r.element(e.el)}i.mixin(s.prototype,{trigger:function(e,t,n,r){var s=i.Event("autocomplete:"+e);return this.$el.trigger(s,[t,n,r]),s}}),e.exports=s},6823:(e,t,n)=>{"use strict";var i=n(70624),r=/\s+/;function s(e,t,n,i){var s;if(!n)return this;for(t=t.split(r),n=i?function(e,t){return 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class="%PREFIX%%DATASET%-%CLASS%"></div>',suggestions:'<span class="%PREFIX%%SUGGESTIONS%"></span>',suggestion:'<div class="%PREFIX%%SUGGESTION%"></div>'}},21286:(e,t,n)=>{"use strict";var i;i={9:"tab",27:"esc",37:"left",39:"right",13:"enter",38:"up",40:"down"};var r=n(85670),s=n(33855),o=n(6823);function a(e){var t,n,o,a,u,c=this;(e=e||{}).input||r.error("input is missing"),t=r.bind(this._onBlur,this),n=r.bind(this._onFocus,this),o=r.bind(this._onKeydown,this),a=r.bind(this._onInput,this),this.$hint=s.element(e.hint),this.$input=s.element(e.input).on("blur.aa",t).on("focus.aa",n).on("keydown.aa",o),0===this.$hint.length&&(this.setHint=this.getHint=this.clearHint=this.clearHintIfInvalid=r.noop),r.isMsie()?this.$input.on("keydown.aa keypress.aa cut.aa paste.aa",(function(e){i[e.which||e.keyCode]||r.defer(r.bind(c._onInput,c,e))})):this.$input.on("input.aa",a),this.query=this.$input.val(),this.$overflowHelper=(u=this.$input,s.element('<pre aria-hidden="true"></pre>').css({position:"absolute",visibility:"hidden",whiteSpace:"pre",fontFamily:u.css("font-family"),fontSize:u.css("font-size"),fontStyle:u.css("font-style"),fontVariant:u.css("font-variant"),fontWeight:u.css("font-weight"),wordSpacing:u.css("word-spacing"),letterSpacing:u.css("letter-spacing"),textIndent:u.css("text-indent"),textRendering:u.css("text-rendering"),textTransform:u.css("text-transform")}).insertAfter(u))}function u(e){return e.altKey||e.ctrlKey||e.metaKey||e.shiftKey}a.normalizeQuery=function(e){return(e||"").replace(/^\s*/g,"").replace(/\s{2,}/g," ")},r.mixin(a.prototype,o,{_onBlur:function(){this.resetInputValue(),this.$input.removeAttr("aria-activedescendant"),this.trigger("blurred")},_onFocus:function(){this.trigger("focused")},_onKeydown:function(e){var t=i[e.which||e.keyCode];this._managePreventDefault(t,e),t&&this._shouldTrigger(t,e)&&this.trigger(t+"Keyed",e)},_onInput:function(){this._checkInputValue()},_managePreventDefault:function(e,t){var n,i,r;switch(e){case"tab":i=this.getHint(),r=this.getInputValue(),n=i&&i!==r&&!u(t);break;case"up":case"down":n=!u(t);break;default:n=!1}n&&t.preventDefault()},_shouldTrigger:function(e,t){var n;if("tab"===e)n=!u(t);else n=!0;return n},_checkInputValue:function(){var e,t,n,i,r;e=this.getInputValue(),i=e,r=this.query,n=!(!(t=a.normalizeQuery(i)===a.normalizeQuery(r))||!this.query)&&this.query.length!==e.length,this.query=e,t?n&&this.trigger("whitespaceChanged",this.query):this.trigger("queryChanged",this.query)},focus:function(){this.$input.focus()},blur:function(){this.$input.blur()},getQuery:function(){return this.query},setQuery:function(e){this.query=e},getInputValue:function(){return this.$input.val()},setInputValue:function(e,t){void 0===e&&(e=this.query),this.$input.val(e),t?this.clearHint():this._checkInputValue()},expand:function(){this.$input.attr("aria-expanded","true")},collapse:function(){this.$input.attr("aria-expanded","false")},setActiveDescendant:function(e){this.$input.attr("aria-activedescendant",e)},removeActiveDescendant:function(){this.$input.removeAttr("aria-activedescendant")},resetInputValue:function(){this.setInputValue(this.query,!0)},getHint:function(){return this.$hint.val()},setHint:function(e){this.$hint.val(e)},clearHint:function(){this.setHint("")},clearHintIfInvalid:function(){var e,t,n;n=(e=this.getInputValue())!==(t=this.getHint())&&0===t.indexOf(e),""!==e&&n&&!this.hasOverflow()||this.clearHint()},getLanguageDirection:function(){return(this.$input.css("direction")||"ltr").toLowerCase()},hasOverflow:function(){var e=this.$input.width()-2;return this.$overflowHelper.text(this.getInputValue()),this.$overflowHelper.width()>=e},isCursorAtEnd:function(){var e,t,n;return e=this.$input.val().length,t=this.$input[0].selectionStart,r.isNumber(t)?t===e:!document.selection||((n=document.selection.createRange()).moveStart("character",-e),e===n.text.length)},destroy:function(){this.$hint.off(".aa"),this.$input.off(".aa"),this.$hint=this.$input=this.$overflowHelper=null}}),e.exports=a},4520:(e,t,n)=>{"use strict";var i="aaAttrs",r=n(85670),s=n(33855),o=n(47368),a=n(21286),u=n(35445),c=n(26619),l=n(47114);function h(e){var t,n;if((e=e||{}).input||r.error("missing input"),this.isActivated=!1,this.debug=!!e.debug,this.autoselect=!!e.autoselect,this.autoselectOnBlur=!!e.autoselectOnBlur,this.openOnFocus=!!e.openOnFocus,this.minLength=r.isNumber(e.minLength)?e.minLength:1,this.autoWidth=void 0===e.autoWidth||!!e.autoWidth,this.clearOnSelected=!!e.clearOnSelected,this.tabAutocomplete=void 0===e.tabAutocomplete||!!e.tabAutocomplete,e.hint=!!e.hint,e.hint&&e.appendTo)throw new Error("[autocomplete.js] hint and appendTo options can't be used at the same 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u=c.dropdown.replace("%PREFIX%",e.cssClasses.prefix).replace("%DROPDOWN_MENU%",e.cssClasses.dropdownMenu);o=s.element(u).css(e.css.dropdown).attr({role:"listbox",id:e.listboxId}),e.templates&&e.templates.dropdownMenu&&o.html(r.templatify(e.templates.dropdownMenu)());a=t.clone().css(e.css.hint).css(function(e){return{backgroundAttachment:e.css("background-attachment"),backgroundClip:e.css("background-clip"),backgroundColor:e.css("background-color"),backgroundImage:e.css("background-image"),backgroundOrigin:e.css("background-origin"),backgroundPosition:e.css("background-position"),backgroundRepeat:e.css("background-repeat"),backgroundSize:e.css("background-size")}}(t)),a.val("").addClass(r.className(e.cssClasses.prefix,e.cssClasses.hint,!0)).removeAttr("id name placeholder 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u=this.$input=a.input;t=a.menu,n=a.hint,e.dropdownMenuContainer&&s.element(e.dropdownMenuContainer).css("position","relative").append(t.css("top","0")),u.on("blur.aa",(function(e){var n=document.activeElement;r.isMsie()&&(t[0]===n||t[0].contains(n))&&(e.preventDefault(),e.stopImmediatePropagation(),r.defer((function(){u.focus()})))})),t.on("mousedown.aa",(function(e){e.preventDefault()})),this.eventBus=e.eventBus||new o({el:u}),this.dropdown=new 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RegExp("^"+c+u+"[^aeiouwxy]$"),T=/^(.+?[^aeiou])y$/,_=/^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/,O=/^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/,A=/^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/,P=/^(.+?)(s|t)(ion)$/,L=/^(.+?)e$/,Q=/ll$/,I=new RegExp("^"+c+u+"[^aeiouwxy]$"),N=function(e){var t,n,i,r,s,u,c;if(e.length<3)return e;if("y"==(i=e.substr(0,1))&&(e=i.toUpperCase()+e.substr(1)),s=x,(r=v).test(e)?e=e.replace(r,"$1$2"):s.test(e)&&(e=e.replace(s,"$1$2")),s=b,(r=w).test(e)){var l=r.exec(e);(r=d).test(l[1])&&(r=S,e=e.replace(r,""))}else 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e}},$.stopWordFilter=$.generateStopWordFilter(["a","able","about","across","after","all","almost","also","am","among","an","and","any","are","as","at","be","because","been","but","by","can","cannot","could","dear","did","do","does","either","else","ever","every","for","from","get","got","had","has","have","he","her","hers","him","his","how","however","i","if","in","into","is","it","its","just","least","let","like","likely","may","me","might","most","must","my","neither","no","nor","not","of","off","often","on","only","or","other","our","own","rather","said","say","says","she","should","since","so","some","than","that","the","their","them","then","there","these","they","this","tis","to","too","twas","us","wants","was","we","were","what","when","where","which","while","who","whom","why","will","with","would","yet","you","your"]),$.Pipeline.registerFunction($.stopWordFilter,"stopWordFilter"),$.trimmer=function(e){return e.update((function(e){return e.replace(/^\W+/,"").replace(/\W+$/,"")}))},$.Pipeline.registerFunction($.trimmer,"trimmer"),$.TokenSet=function(){this.final=!1,this.edges={},this.id=$.TokenSet._nextId,$.TokenSet._nextId+=1},$.TokenSet._nextId=1,$.TokenSet.fromArray=function(e){for(var t=new $.TokenSet.Builder,n=0,i=e.length;n<i;n++)t.insert(e[n]);return t.finish(),t.root},$.TokenSet.fromClause=function(e){return"editDistance"in e?$.TokenSet.fromFuzzyString(e.term,e.editDistance):$.TokenSet.fromString(e.term)},$.TokenSet.fromFuzzyString=function(e,t){for(var n=new $.TokenSet,i=[{node:n,editsRemaining:t,str:e}];i.length;){var r=i.pop();if(r.str.length>0){var s,o=r.str.charAt(0);o in r.node.edges?s=r.node.edges[o]:(s=new $.TokenSet,r.node.edges[o]=s),1==r.str.length&&(s.final=!0),i.push({node:s,editsRemaining:r.editsRemaining,str:r.str.slice(1)})}if(0!=r.editsRemaining){if("*"in r.node.edges)var a=r.node.edges["*"];else{a=new 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e=[],t=[{prefix:"",node:this}];t.length;){var n=t.pop(),i=Object.keys(n.node.edges),r=i.length;n.node.final&&(n.prefix.charAt(0),e.push(n.prefix));for(var s=0;s<r;s++){var o=i[s];t.push({prefix:n.prefix.concat(o),node:n.node.edges[o]})}}return e},$.TokenSet.prototype.toString=function(){if(this._str)return this._str;for(var e=this.final?"1":"0",t=Object.keys(this.edges).sort(),n=t.length,i=0;i<n;i++){var r=t[i];e=e+r+this.edges[r].id}return e},$.TokenSet.prototype.intersect=function(e){for(var t=new $.TokenSet,n=void 0,i=[{qNode:e,output:t,node:this}];i.length;){n=i.pop();for(var r=Object.keys(n.qNode.edges),s=r.length,o=Object.keys(n.node.edges),a=o.length,u=0;u<s;u++)for(var c=r[u],l=0;l<a;l++){var h=o[l];if(h==c||"*"==c){var p=n.node.edges[h],f=n.qNode.edges[c],d=p.final&&f.final,g=void 0;h in n.output.edges?(g=n.output.edges[h]).final=g.final||d:((g=new $.TokenSet).final=d,n.output.edges[h]=g),i.push({qNode:f,output:g,node:p})}}}return t},$.TokenSet.Builder=function(){this.previousWord="",this.root=new $.TokenSet,this.uncheckedNodes=[],this.minimizedNodes={}},$.TokenSet.Builder.prototype.insert=function(e){var t,n=0;if(e<this.previousWord)throw new Error("Out of order word insertion");for(var i=0;i<e.length&&i<this.previousWord.length&&e[i]==this.previousWord[i];i++)n++;this.minimize(n),t=0==this.uncheckedNodes.length?this.root:this.uncheckedNodes[this.uncheckedNodes.length-1].child;for(i=n;i<e.length;i++){var r=new $.TokenSet,s=e[i];t.edges[s]=r,this.uncheckedNodes.push({parent:t,char:s,child:r}),t=r}t.final=!0,this.previousWord=e},$.TokenSet.Builder.prototype.finish=function(){this.minimize(0)},$.TokenSet.Builder.prototype.minimize=function(e){for(var t=this.uncheckedNodes.length-1;t>=e;t--){var n=this.uncheckedNodes[t],i=n.child.toString();i in 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g=0;g<u.fields.length;g++){s[L=u.fields[g]]=$.Set.empty}break}for(var m=0;m<d.length;m++){var y=d[m],v=this.invertedIndex[y],x=v._index;for(g=0;g<u.fields.length;g++){var w=v[L=u.fields[g]],b=Object.keys(w),S=y+"/"+L,C=new $.Set(b);if(u.presence==$.Query.presence.REQUIRED&&(l=l.union(C),void 0===s[L]&&(s[L]=$.Set.complete)),u.presence!=$.Query.presence.PROHIBITED){if(i[L].upsert(x,u.boost,(function(e,t){return e+t})),!r[S]){for(var E=0;E<b.length;E++){var k,T=b[E],_=new $.FieldRef(T,L),O=w[T];void 0===(k=n[_])?n[_]=new $.MatchData(y,L,O):k.add(y,L,O)}r[S]=!0}}else void 0===o[L]&&(o[L]=$.Set.empty),o[L]=o[L].union(C)}}}if(u.presence===$.Query.presence.REQUIRED)for(g=0;g<u.fields.length;g++){s[L=u.fields[g]]=s[L].intersect(l)}}var A=$.Set.complete,P=$.Set.empty;for(a=0;a<this.fields.length;a++){var L;s[L=this.fields[a]]&&(A=A.intersect(s[L])),o[L]&&(P=P.union(o[L]))}var Q=Object.keys(n),I=[],N=Object.create(null);if(t.isNegated()){Q=Object.keys(this.fieldVectors);for(a=0;a<Q.length;a++){_=Q[a];var D=$.FieldRef.fromString(_);n[_]=new $.MatchData}}for(a=0;a<Q.length;a++){var R=(D=$.FieldRef.fromString(Q[a])).docRef;if(A.contains(R)&&!P.contains(R)){var F,j=this.fieldVectors[D],M=i[D.fieldName].similarity(j);if(void 0!==(F=N[R]))F.score+=M,F.matchData.combine(n[D]);else{var V={ref:R,score:M,matchData:n[D]};N[R]=V,I.push(V)}}}return I.sort((function(e,t){return t.score-e.score}))},$.Index.prototype.toJSON=function(){var e=Object.keys(this.invertedIndex).sort().map((function(e){return[e,this.invertedIndex[e]]}),this),t=Object.keys(this.fieldVectors).map((function(e){return[e,this.fieldVectors[e].toJSON()]}),this);return{version:$.version,fields:this.fields,fieldVectors:t,invertedIndex:e,pipeline:this.pipeline.toJSON()}},$.Index.load=function(e){var t={},n={},i=e.fieldVectors,r=Object.create(null),s=e.invertedIndex,o=new $.TokenSet.Builder,a=$.Pipeline.load(e.pipeline);e.version!=$.version&&$.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+$.version+"' does not match serialized index '"+e.version+"'");for(var u=0;u<i.length;u++){var c=(h=i[u])[0],l=h[1];n[c]=new $.Vector(l)}for(u=0;u<s.length;u++){var h,p=(h=s[u])[0],f=h[1];o.insert(p),r[p]=f}return o.finish(),t.fields=e.fields,t.fieldVectors=n,t.invertedIndex=r,t.tokenSet=o.root,t.pipeline=a,new $.Index(t)},$.Builder=function(){this._ref="id",this._fields=Object.create(null),this._documents=Object.create(null),this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=$.tokenizer,this.pipeline=new $.Pipeline,this.searchPipeline=new $.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},$.Builder.prototype.ref=function(e){this._ref=e},$.Builder.prototype.field=function(e,t){if(/\//.test(e))throw new RangeError("Field '"+e+"' contains illegal character '/'");this._fields[e]=t||{}},$.Builder.prototype.b=function(e){this._b=e<0?0:e>1?1:e},$.Builder.prototype.k1=function(e){this._k1=e},$.Builder.prototype.add=function(e,t){var n=e[this._ref],i=Object.keys(this._fields);this._documents[n]=t||{},this.documentCount+=1;for(var r=0;r<i.length;r++){var s=i[r],o=this._fields[s].extractor,a=o?o(e):e[s],u=this.tokenizer(a,{fields:[s]}),c=this.pipeline.run(u),l=new $.FieldRef(n,s),h=Object.create(null);this.fieldTermFrequencies[l]=h,this.fieldLengths[l]=0,this.fieldLengths[l]+=c.length;for(var p=0;p<c.length;p++){var f=c[p];if(null==h[f]&&(h[f]=0),h[f]+=1,null==this.invertedIndex[f]){var d=Object.create(null);d._index=this.termIndex,this.termIndex+=1;for(var g=0;g<i.length;g++)d[i[g]]=Object.create(null);this.invertedIndex[f]=d}null==this.invertedIndex[f][s][n]&&(this.invertedIndex[f][s][n]=Object.create(null));for(var m=0;m<this.metadataWhitelist.length;m++){var y=this.metadataWhitelist[m],v=f.metadata[y];null==this.invertedIndex[f][s][n][y]&&(this.invertedIndex[f][s][n][y]=[]),this.invertedIndex[f][s][n][y].push(v)}}}},$.Builder.prototype.calculateAverageFieldLengths=function(){for(var e=Object.keys(this.fieldLengths),t=e.length,n={},i={},r=0;r<t;r++){var s=$.FieldRef.fromString(e[r]),o=s.fieldName;i[o]||(i[o]=0),i[o]+=1,n[o]||(n[o]=0),n[o]+=this.fieldLengths[s]}var a=Object.keys(this._fields);for(r=0;r<a.length;r++){var u=a[r];n[u]=n[u]/i[u]}this.averageFieldLength=n},$.Builder.prototype.createFieldVectors=function(){for(var e={},t=Object.keys(this.fieldTermFrequencies),n=t.length,i=Object.create(null),r=0;r<n;r++){for(var s=$.FieldRef.fromString(t[r]),o=s.fieldName,a=this.fieldLengths[s],u=new $.Vector,c=this.fieldTermFrequencies[s],l=Object.keys(c),h=l.length,p=this._fields[o].boost||1,f=this._documents[s.docRef].boost||1,d=0;d<h;d++){var g,m,y,v=l[d],x=c[v],w=this.invertedIndex[v]._index;void 0===i[v]?(g=$.idf(this.invertedIndex[v],this.documentCount),i[v]=g):g=i[v],m=g*((this._k1+1)*x)/(this._k1*(1-this._b+this._b*(a/this.averageFieldLength[o]))+x),m*=p,m*=f,y=Math.round(1e3*m)/1e3,u.insert(w,y)}e[s]=u}this.fieldVectors=e},$.Builder.prototype.createTokenSet=function(){this.tokenSet=$.TokenSet.fromArray(Object.keys(this.invertedIndex).sort())},$.Builder.prototype.build=function(){return this.calculateAverageFieldLengths(),this.createFieldVectors(),this.createTokenSet(),new $.Index({invertedIndex:this.invertedIndex,fieldVectors:this.fieldVectors,tokenSet:this.tokenSet,fields:Object.keys(this._fields),pipeline:this.searchPipeline})},$.Builder.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},$.MatchData=function(e,t,n){for(var i=Object.create(null),r=Object.keys(n||{}),s=0;s<r.length;s++){var o=r[s];i[o]=n[o].slice()}this.metadata=Object.create(null),void 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this.metadata[e][t]=n},$.Query=function(e){this.clauses=[],this.allFields=e},$.Query.wildcard=new String("*"),$.Query.wildcard.NONE=0,$.Query.wildcard.LEADING=1,$.Query.wildcard.TRAILING=2,$.Query.presence={OPTIONAL:1,REQUIRED:2,PROHIBITED:3},$.Query.prototype.clause=function(e){return"fields"in e||(e.fields=this.allFields),"boost"in e||(e.boost=1),"usePipeline"in e||(e.usePipeline=!0),"wildcard"in e||(e.wildcard=$.Query.wildcard.NONE),e.wildcard&$.Query.wildcard.LEADING&&e.term.charAt(0)!=$.Query.wildcard&&(e.term="*"+e.term),e.wildcard&$.Query.wildcard.TRAILING&&e.term.slice(-1)!=$.Query.wildcard&&(e.term=e.term+"*"),"presence"in e||(e.presence=$.Query.presence.OPTIONAL),this.clauses.push(e),this},$.Query.prototype.isNegated=function(){for(var e=0;e<this.clauses.length;e++)if(this.clauses[e].presence!=$.Query.presence.PROHIBITED)return!1;return!0},$.Query.prototype.term=function(e,t){if(Array.isArray(e))return e.forEach((function(e){this.term(e,$.utils.clone(t))}),this),this;var 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Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form."})}),"\n",(0,a.jsx)(n.p,{children:"Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear."}),"\n",(0,a.jsx)(n.p,{children:"rpf files are specification files for the geometric room acoustic model that include a complete description of the room."}),"\n",(0,a.jsx)(n.h3,{id:"b1-training-data",children:"B.1 Training data"}),"\n",(0,a.jsx)(n.p,{children:"For each scene in the training data the following signals and metadata are available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears)."}),"\n",(0,a.jsx)(n.li,{children:"HRIRs including those corresponding to the target azimuth."}),"\n",(0,a.jsx)(n.li,{children:"The mono target and interferer signals (pre-convolution)."}),"\n",(0,a.jsxs)(n.li,{children:["For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0):","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target convolved with the appropriate BRIR;"}),"\n",(0,a.jsx)(n.li,{children:"The interferer convolved with the appropriate BRIR;"}),"\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer convolved."}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"The target convolved with the anechoic BRIR (channel 1) for each ear (\u2018target_anechoic\u2019)."}),"\n",(0,a.jsx)(n.li,{children:"Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Software for generating more training data is also available."}),"\n",(0,a.jsx)(n.h3,{id:"b2-development-data",children:"B.2 Development data"}),"\n",(0,a.jsx)(n.p,{children:"The same data as for the training will be made available to allow you to fully examine the performance of your system. Note, that the data available for the evaluation will be much more limited (see B.3)."}),"\n",(0,a.jsx)(n.p,{children:"For each scene, during development, your hearing aid enhancement model must only use the following input signals/data:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer \u2013 mixed at the SNR specified in the scene metadata \u2013 at one or more hearing aid microphones (CH1, CH2 and/or CH3)."}),"\n",(0,a.jsx)(n.li,{children:"The IDs of the listeners assigned to the scene in the metadata provided."}),"\n",(0,a.jsx)(n.li,{children:"The audiograms of these listeners."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"b3-evaluation-scene-data",children:"B.3 Evaluation scene data"}),"\n",(0,a.jsx)(n.p,{children:"For each scene in the evaluation data only the following will be available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer for each hearing aid microphone."}),"\n",(0,a.jsx)(n.li,{children:"The ID of the evaluation panel members/listeners who will be listening to the processed scene."}),"\n",(0,a.jsx)(n.li,{children:"The audiograms of these listeners."}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"c-listener-data",children:"C Listener data"}),"\n",(0,a.jsx)(n.h3,{id:"c1-training-and-development-data",children:"C.1 Training and development data"}),"\n",(0,a.jsx)(n.p,{children:"A sample of pure tone air-conduction audiograms that characterise the hearing impairment of potential listeners, split into training and development sets."}),"\n",(0,a.jsx)(n.h3,{id:"c2-evaluation-data",children:"C.2 Evaluation data"}),"\n",(0,a.jsx)(n.p,{children:"You will be given the left and right pure tone air-conduction audiograms for the listening panel, so the signals you generate for evaluation can be individualised to the listeners."}),"\n",(0,a.jsx)(n.p,{children:"A panel of 50 hearing-aided listeners will be recruited for the evaluation panel. We plan that they will be experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English."}),"\n",(0,a.jsx)(n.h2,{id:"d-data-file-formats-and-naming-conventions",children:"D Data file formats and naming conventions"}),"\n",(0,a.jsx)(n.h3,{id:"d1-abbreviations-in-filenames",children:"D.1 Abbreviations in Filenames"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"R"})," \u2013 \u201croom\u201d: e.g., \u201cR02678\u201d # Room ID linking to RAVEN rpf file"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"S"})," \u2013 \u201cscene\u201d: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signals"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"BNC"})," \u2013 BNC sentence identifier e.g. BNC_A06_01702"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH"})," \u2013","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH0"})," \u2013 eardrum signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH1"})," \u2013 front signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH2"})," \u2013 middle signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH3"})," \u2013 rear signal, hearing aid channel"]}),"\n"]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"I"}),"/",(0,a.jsx)(n.code,{children:"i1"})," \u2013 Interferer, i.e., noise or sentence ID for the interferer/masker"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"T"})," \u2013 talker who produced the target speech sentences"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"L"})," \u2013 listener"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"E"})," \u2013 entrant (identifying a team participating in the challenge)"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"t"})," \u2013 target (used in BRIRs and RAVEN project \u2018rpf\u2019 files)"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d2-general",children:"D.2 General"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate."}),"\n",(0,a.jsx)(n.li,{children:"Where stereo signals are provided the two channels represent the left and right signals of the ear or hearing aid microphones."}),"\n",(0,a.jsx)(n.li,{children:"HRIRs have a sampling rate of 48 kHz."}),"\n",(0,a.jsx)(n.li,{children:"Metadata will be stored in JSON format wherever possible."}),"\n",(0,a.jsx)(n.li,{children:"Room descriptions are stored as RAVEN project \u2018rpf\u2019 configuration files."}),"\n",(0,a.jsx)(n.li,{children:"Signals are saved within the Python code as 32-bit floating point by default."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d3-prompt-and-transcription-data",children:"D.3 Prompt and transcription data"}),"\n",(0,a.jsx)(n.p,{children:"The following text is available for the target speech:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Prompts are the text that was supposed to be spoken as presented to the readers."}),"\n",(0,a.jsx)(n.li,{children:"\u2018Dot\u2019 transcriptions contain the text as it was spoken in a form more suitable for scoring tools."}),"\n",(0,a.jsx)(n.li,{children:"These are stored in the master json metadata file."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d4-source-audio-files",children:"D.4 Source audio files"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Wav files containing the original source materials."}),"\n",(0,a.jsx)(n.li,{children:"Original target sentence recordings:"}),"\n"]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-text",children:" <Talker ID>_<BNC sentence identifier>.wav\n"})}),"\n",(0,a.jsx)(n.h3,{id:"d5-preprocessed-scene-signals",children:"D.5 Preprocessed scene signals"}),"\n",(0,a.jsx)(n.p,{children:"Audio files storing the signals picked up by the hearing aid microphone ready for processing. Separate signals are generated for each hearing aid microphone pair or \u2018channel\u2019."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-text",children:"<Scene ID>_target_<Channel ID>.wav\n<Scene ID>_interferer_<Channel ID>.wav\n<Scene ID>_mixed_<Channel ID>.wav\n<Scene ID>_target_anechoic.wav\n"})}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.code,{children:"Scene ID"})," \u2013 S00001 to S10000"]}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"S"})," followed by 5 digit integer with 0 pre-padding"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:(0,a.jsx)(n.code,{children:"Channel ID"})}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH0"})," \u2013 Eardrum signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH1"})," \u2013 Hearing aid front microphone"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH2"})," \u2013 Hearing aid middle microphone"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH3"})," \u2013 Hearing aid rear microphone"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d6-enhanced-signals",children:"D.6 Enhanced signals"}),"\n",(0,a.jsx)(n.p,{children:"The signals that are output by the enhancement (hearing aid) model."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HA-output.wav"})," #HA output signal (i.e., as submitted by the challenge entrants)"]}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.code,{children:"Listener ID"})," \u2013 ID of the listener panel member, e.g., L001 to L100 for initial \u2018pseudo-listeners\u2019, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel."]}),"\n",(0,a.jsx)(n.h3,{id:"d7-enhanced-signals-processed-by-the-hearing-loss-model",children:"D.7 Enhanced signals processed by the hearing loss model"}),"\n",(0,a.jsx)(n.p,{children:"The signals that are produced by the hearing loss (HL) model."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HL-output.wav"})," HL output signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HL-mixoutput.wav"})," HL-processed CH0 signal, bypassing HA processing, for comparison"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_flat0dB_HL-output"})," HL-output for flat 0 dB audiogram processed signal for comparison"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HLddf-output"})," unit impulse signal output by HL model for time-alignment of signals before processing by the baseline speech intelligibility model"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d8-scene-metadata",children:"D.8 Scene metadata"}),"\n",(0,a.jsx)(n.p,{children:"JSON file containing a description of the scene and assigns the scene to a specific member of the listening panel. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes.json"',children:'[\n {\n "scene": "S00001", \n "room": {\n "name": "R00001",\n "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres\n },\n "SNR": 3.8356,\n "hrirfilename": "VP_N5-ED", // HRIR filename\n "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z)\n "Positions": [ \n -0.5,\n 3.4,\n 1.2\n ],\n "ViewVectors": [\n 0.291,\n -0.957,\n 0\n ],\n "name": "T022_HCS_00002", // target speaker code and BNCid\n "nsamples": 153468, // length of target speech in samples\n },\n "listener": {\n "Positions": [\n 0.2,\n 1.1,\n 1.2\n ],\n "ViewVectors": [\n -0.414,\n 0.91,\n 0\n ]\n },\n "interferer": {\n "Positions": [\n 0.4,\n 3.2,\n 1.2\n ],\n "name": "CIN_dishwasher_012", // interferer name\n "nsamples": 1190700, // interferer length in samples\n "duration": 27, // interferer duration in seconds\n "type": "noise", // interferer type: noise or speech\n "offset": 182115, // interferer segment starts at n samples from beginning of recording\n },\n "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver\n "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver\n "dataset": "train", // dataset: train, dev or eval/test\n "pre_samples": 88200, // number of samples of interferer before target onset\n "post_samples": 44100 // number of samples of interferer after target offset\n },\n {\n // etc.\n }\n ]\n'})}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room."}),"\n",(0,a.jsx)(n.li,{children:"A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files."}),"\n",(0,a.jsxs)(n.li,{children:["The listener ID is not stored in the scene metadata; this information is stored separately in a ",(0,a.jsx)(n.code,{children:"scenes_listeners.json"})," file."]}),"\n",(0,a.jsxs)(n.li,{children:["Non-speech interferers are labelled ",(0,a.jsx)(n.code,{children:"CIN_<noise type>_XXX"}),", while speech interferers are labelled ",(0,a.jsx)(n.code,{children:"<three letter code including dialect and talker gender>_XXXXX"})," ."]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d9-listener-metadata",children:"D.9 Listener metadata"}),"\n",(0,a.jsx)(n.p,{children:"Listener data stored in a single JSON file with the following format."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{ \n "L0001": {\n "name": "L0001",\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\n "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60],\n "audiogram_levels_r": [ 10, 15, 25, 40, 50, 65, 65, 70 ],\n },\n "L0002": {\n // ... etc\n },\n// ... etc\n}\n'})}),"\n",(0,a.jsx)(n.h3,{id:"d10-scene-listener-map",children:"D.10 Scene-Listener map"}),"\n",(0,a.jsx)(n.p,{children:"JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes_listeners.json"',children:'{\n "S00001": ["L0001", "L0002", "L0003"],\n "S00002": ["L0003". "L0005", "L0007"],\n// etc\n}\n'})})]})}function h(e={}){const{wrapper:n}={...(0,s.M)(),...e.components};return n?(0,a.jsx)(n,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}},4552:(e,n,i)=>{i.d(n,{I:()=>l,M:()=>r});var a=i(11504);const s={},t=a.createContext(s);function r(e){const n=a.useContext(t);return a.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),a.createElement(t.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/aaf5c2ac.5a0ee9b0.js b/assets/js/aaf5c2ac.5a0ee9b0.js deleted file mode 100644 index f8c1de838..000000000 --- a/assets/js/aaf5c2ac.5a0ee9b0.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[1105],{38064:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>o,contentTitle:()=>r,default:()=>h,frontMatter:()=>t,metadata:()=>l,toc:()=>d});var a=i(85893),s=i(11151);const t={id:"cec1_data",title:"CEC1 Data",sidebar_label:"CEC1 Specification",sidebar_position:5},r=void 0,l={id:"cec1/data/cec1_data",title:"CEC1 Data",description:"To obtain the data and baseline code, please see the download page.",source:"@site/docs/cec1/data/cec1_data.mdx",sourceDirName:"cec1/data",slug:"/cec1/data/cec1_data",permalink:"/docs/cec1/data/cec1_data",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:5,frontMatter:{id:"cec1_data",title:"CEC1 Data",sidebar_label:"CEC1 Specification",sidebar_position:5},sidebar:"tutorialSidebar_cec1",previous:{title:"The Scenario",permalink:"/docs/cec1/data/cec1_scenario"},next:{title:"Software",permalink:"/docs/category/software"}},o={},d=[{value:"A. Training, development, evaluation data",id:"a-training-development-evaluation-data",level:2},{value:"B. The scene dataset",id:"b-the-scene-dataset",level:2},{value:"B.1 Training data",id:"b1-training-data",level:3},{value:"B.2 Development data",id:"b2-development-data",level:3},{value:"B.3 Evaluation scene data",id:"b3-evaluation-scene-data",level:3},{value:"C Listener data",id:"c-listener-data",level:2},{value:"C.1 Training and development data",id:"c1-training-and-development-data",level:3},{value:"C.2 Evaluation data",id:"c2-evaluation-data",level:3},{value:"D Data file formats and naming conventions",id:"d-data-file-formats-and-naming-conventions",level:2},{value:"D.1 Abbreviations in Filenames",id:"d1-abbreviations-in-filenames",level:3},{value:"D.2 General",id:"d2-general",level:3},{value:"D.3 Prompt and transcription data",id:"d3-prompt-and-transcription-data",level:3},{value:"D.4 Source audio files",id:"d4-source-audio-files",level:3},{value:"D.5 Preprocessed scene signals",id:"d5-preprocessed-scene-signals",level:3},{value:"D.6 Enhanced signals",id:"d6-enhanced-signals",level:3},{value:"D.7 Enhanced signals processed by the hearing loss model",id:"d7-enhanced-signals-processed-by-the-hearing-loss-model",level:3},{value:"D.8 Scene metadata",id:"d8-scene-metadata",level:3},{value:"D.9 Listener metadata",id:"d9-listener-metadata",level:3},{value:"D.10 Scene-Listener map",id:"d10-scene-listener-map",level:3}];function c(e){const n={code:"code",em:"em",h2:"h2",h3:"h3",li:"li",p:"p",pre:"pre",ul:"ul",...(0,s.a)(),...e.components};return(0,a.jsxs)(a.Fragment,{children:[(0,a.jsx)(n.p,{children:"To obtain the data and baseline code, please see the download page."}),"\n",(0,a.jsx)(n.h2,{id:"a-training-development-evaluation-data",children:"A. Training, development, evaluation data"}),"\n",(0,a.jsxs)(n.p,{children:["The dataset is split into these three subsets: training (",(0,a.jsx)(n.code,{children:"train"}),"), development (",(0,a.jsx)(n.code,{children:"dev"}),") and evaluation (",(0,a.jsx)(n.code,{children:"eval"}),")."]}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"You should only train on the training set."}),"\n",(0,a.jsx)(n.li,{children:"The system submitted should be chosen on the evidence provided by the development set."}),"\n",(0,a.jsx)(n.li,{children:"The final listening and ranking will be performed with the (held-out) evaluation set."}),"\n",(0,a.jsx)(n.li,{children:"For more information on supplementing the training data, please see the rules. The evaluation dataset will be made available one month before the challenge submission deadline."}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"b-the-scene-dataset",children:"B. The scene dataset"}),"\n",(0,a.jsx)(n.p,{children:"The complete dataset is composed of 10,000 scenes split into the following sets:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Training (6000 scenes, 24 speakers);"}),"\n",(0,a.jsx)(n.li,{children:"Development (2500 scenes, 10 speakers);"}),"\n",(0,a.jsx)(n.li,{children:"Evaluation (1500 scenes, 6 speakers)."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training, development and evaluation sets are disjoint for target speaker. The three sets are balanced for target speaker gender."}),"\n",(0,a.jsx)(n.p,{children:"Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used."}),"\n",(0,a.jsx)(n.p,{children:"The BRIRs are generated for:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered."}),"\n",(0,a.jsx)(n.li,{children:"Close to the eardrum."}),"\n",(0,a.jsx)(n.li,{children:"The anechoic target reference (front microphone)."}),"\n"]}),"\n",(0,a.jsx)("img",{src:"/img/tutorial/BTE-e1606144768702.png",width:"200"}),"\n",(0,a.jsx)(n.p,{children:(0,a.jsx)(n.em,{children:"Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form."})}),"\n",(0,a.jsx)(n.p,{children:"Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear."}),"\n",(0,a.jsx)(n.p,{children:"rpf files are specification files for the geometric room acoustic model that include a complete description of the room."}),"\n",(0,a.jsx)(n.h3,{id:"b1-training-data",children:"B.1 Training data"}),"\n",(0,a.jsx)(n.p,{children:"For each scene in the training data the following signals and metadata are available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears)."}),"\n",(0,a.jsx)(n.li,{children:"HRIRs including those corresponding to the target azimuth."}),"\n",(0,a.jsx)(n.li,{children:"The mono target and interferer signals (pre-convolution)."}),"\n",(0,a.jsxs)(n.li,{children:["For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0):","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The target convolved with the appropriate BRIR;"}),"\n",(0,a.jsx)(n.li,{children:"The interferer convolved with the appropriate BRIR;"}),"\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer convolved."}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.li,{children:"The target convolved with the anechoic BRIR (channel 1) for each ear (\u2018target_anechoic\u2019)."}),"\n",(0,a.jsx)(n.li,{children:"Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files."}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:"Software for generating more training data is also available."}),"\n",(0,a.jsx)(n.h3,{id:"b2-development-data",children:"B.2 Development data"}),"\n",(0,a.jsx)(n.p,{children:"The same data as for the training will be made available to allow you to fully examine the performance of your system. Note, that the data available for the evaluation will be much more limited (see B.3)."}),"\n",(0,a.jsx)(n.p,{children:"For each scene, during development, your hearing aid enhancement model must only use the following input signals/data:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer \u2013 mixed at the SNR specified in the scene metadata \u2013 at one or more hearing aid microphones (CH1, CH2 and/or CH3)."}),"\n",(0,a.jsx)(n.li,{children:"The IDs of the listeners assigned to the scene in the metadata provided."}),"\n",(0,a.jsx)(n.li,{children:"The audiograms of these listeners."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"b3-evaluation-scene-data",children:"B.3 Evaluation scene data"}),"\n",(0,a.jsx)(n.p,{children:"For each scene in the evaluation data only the following will be available:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"The sum of the target and interferer for each hearing aid microphone."}),"\n",(0,a.jsx)(n.li,{children:"The ID of the evaluation panel members/listeners who will be listening to the processed scene."}),"\n",(0,a.jsx)(n.li,{children:"The audiograms of these listeners."}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"c-listener-data",children:"C Listener data"}),"\n",(0,a.jsx)(n.h3,{id:"c1-training-and-development-data",children:"C.1 Training and development data"}),"\n",(0,a.jsx)(n.p,{children:"A sample of pure tone air-conduction audiograms that characterise the hearing impairment of potential listeners, split into training and development sets."}),"\n",(0,a.jsx)(n.h3,{id:"c2-evaluation-data",children:"C.2 Evaluation data"}),"\n",(0,a.jsx)(n.p,{children:"You will be given the left and right pure tone air-conduction audiograms for the listening panel, so the signals you generate for evaluation can be individualised to the listeners."}),"\n",(0,a.jsx)(n.p,{children:"A panel of 50 hearing-aided listeners will be recruited for the evaluation panel. We plan that they will be experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English."}),"\n",(0,a.jsx)(n.h2,{id:"d-data-file-formats-and-naming-conventions",children:"D Data file formats and naming conventions"}),"\n",(0,a.jsx)(n.h3,{id:"d1-abbreviations-in-filenames",children:"D.1 Abbreviations in Filenames"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"R"})," \u2013 \u201croom\u201d: e.g., \u201cR02678\u201d # Room ID linking to RAVEN rpf file"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"S"})," \u2013 \u201cscene\u201d: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signals"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"BNC"})," \u2013 BNC sentence identifier e.g. BNC_A06_01702"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH"})," \u2013","\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH0"})," \u2013 eardrum signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH1"})," \u2013 front signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH2"})," \u2013 middle signal, hearing aid channel"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH3"})," \u2013 rear signal, hearing aid channel"]}),"\n"]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"I"}),"/",(0,a.jsx)(n.code,{children:"i1"})," \u2013 Interferer, i.e., noise or sentence ID for the interferer/masker"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"T"})," \u2013 talker who produced the target speech sentences"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"L"})," \u2013 listener"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"E"})," \u2013 entrant (identifying a team participating in the challenge)"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"t"})," \u2013 target (used in BRIRs and RAVEN project \u2018rpf\u2019 files)"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d2-general",children:"D.2 General"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate."}),"\n",(0,a.jsx)(n.li,{children:"Where stereo signals are provided the two channels represent the left and right signals of the ear or hearing aid microphones."}),"\n",(0,a.jsx)(n.li,{children:"HRIRs have a sampling rate of 48 kHz."}),"\n",(0,a.jsx)(n.li,{children:"Metadata will be stored in JSON format wherever possible."}),"\n",(0,a.jsx)(n.li,{children:"Room descriptions are stored as RAVEN project \u2018rpf\u2019 configuration files."}),"\n",(0,a.jsx)(n.li,{children:"Signals are saved within the Python code as 32-bit floating point by default."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d3-prompt-and-transcription-data",children:"D.3 Prompt and transcription data"}),"\n",(0,a.jsx)(n.p,{children:"The following text is available for the target speech:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Prompts are the text that was supposed to be spoken as presented to the readers."}),"\n",(0,a.jsx)(n.li,{children:"\u2018Dot\u2019 transcriptions contain the text as it was spoken in a form more suitable for scoring tools."}),"\n",(0,a.jsx)(n.li,{children:"These are stored in the master json metadata file."}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d4-source-audio-files",children:"D.4 Source audio files"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Wav files containing the original source materials."}),"\n",(0,a.jsx)(n.li,{children:"Original target sentence recordings:"}),"\n"]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-text",children:" <Talker ID>_<BNC sentence identifier>.wav\n"})}),"\n",(0,a.jsx)(n.h3,{id:"d5-preprocessed-scene-signals",children:"D.5 Preprocessed scene signals"}),"\n",(0,a.jsx)(n.p,{children:"Audio files storing the signals picked up by the hearing aid microphone ready for processing. Separate signals are generated for each hearing aid microphone pair or \u2018channel\u2019."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-text",children:"<Scene ID>_target_<Channel ID>.wav\n<Scene ID>_interferer_<Channel ID>.wav\n<Scene ID>_mixed_<Channel ID>.wav\n<Scene ID>_target_anechoic.wav\n"})}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.code,{children:"Scene ID"})," \u2013 S00001 to S10000"]}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"S"})," followed by 5 digit integer with 0 pre-padding"]}),"\n"]}),"\n",(0,a.jsx)(n.p,{children:(0,a.jsx)(n.code,{children:"Channel ID"})}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH0"})," \u2013 Eardrum signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH1"})," \u2013 Hearing aid front microphone"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH2"})," \u2013 Hearing aid middle microphone"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"CH3"})," \u2013 Hearing aid rear microphone"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d6-enhanced-signals",children:"D.6 Enhanced signals"}),"\n",(0,a.jsx)(n.p,{children:"The signals that are output by the enhancement (hearing aid) model."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HA-output.wav"})," #HA output signal (i.e., as submitted by the challenge entrants)"]}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.code,{children:"Listener ID"})," \u2013 ID of the listener panel member, e.g., L001 to L100 for initial \u2018pseudo-listeners\u2019, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel."]}),"\n",(0,a.jsx)(n.h3,{id:"d7-enhanced-signals-processed-by-the-hearing-loss-model",children:"D.7 Enhanced signals processed by the hearing loss model"}),"\n",(0,a.jsx)(n.p,{children:"The signals that are produced by the hearing loss (HL) model."}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HL-output.wav"})," HL output signal"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HL-mixoutput.wav"})," HL-processed CH0 signal, bypassing HA processing, for comparison"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_flat0dB_HL-output"})," HL-output for flat 0 dB audiogram processed signal for comparison"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"<Scene ID>_<Listener ID>_HLddf-output"})," unit impulse signal output by HL model for time-alignment of signals before processing by the baseline speech intelligibility model"]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d8-scene-metadata",children:"D.8 Scene metadata"}),"\n",(0,a.jsx)(n.p,{children:"JSON file containing a description of the scene and assigns the scene to a specific member of the listening panel. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes.json"',children:'[\n {\n "scene": "S00001", \n "room": {\n "name": "R00001",\n "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres\n },\n "SNR": 3.8356,\n "hrirfilename": "VP_N5-ED", // HRIR filename\n "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z)\n "Positions": [ \n -0.5,\n 3.4,\n 1.2\n ],\n "ViewVectors": [\n 0.291,\n -0.957,\n 0\n ],\n "name": "T022_HCS_00002", // target speaker code and BNCid\n "nsamples": 153468, // length of target speech in samples\n },\n "listener": {\n "Positions": [\n 0.2,\n 1.1,\n 1.2\n ],\n "ViewVectors": [\n -0.414,\n 0.91,\n 0\n ]\n },\n "interferer": {\n "Positions": [\n 0.4,\n 3.2,\n 1.2\n ],\n "name": "CIN_dishwasher_012", // interferer name\n "nsamples": 1190700, // interferer length in samples\n "duration": 27, // interferer duration in seconds\n "type": "noise", // interferer type: noise or speech\n "offset": 182115, // interferer segment starts at n samples from beginning of recording\n },\n "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver\n "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver\n "dataset": "train", // dataset: train, dev or eval/test\n "pre_samples": 88200, // number of samples of interferer before target onset\n "post_samples": 44100 // number of samples of interferer after target offset\n },\n {\n // etc.\n }\n ]\n'})}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room."}),"\n",(0,a.jsx)(n.li,{children:"A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files."}),"\n",(0,a.jsxs)(n.li,{children:["The listener ID is not stored in the scene metadata; this information is stored separately in a ",(0,a.jsx)(n.code,{children:"scenes_listeners.json"})," file."]}),"\n",(0,a.jsxs)(n.li,{children:["Non-speech interferers are labelled ",(0,a.jsx)(n.code,{children:"CIN_<noise type>_XXX"}),", while speech interferers are labelled ",(0,a.jsx)(n.code,{children:"<three letter code including dialect and talker gender>_XXXXX"})," ."]}),"\n"]}),"\n",(0,a.jsx)(n.h3,{id:"d9-listener-metadata",children:"D.9 Listener metadata"}),"\n",(0,a.jsx)(n.p,{children:"Listener data stored in a single JSON file with the following format."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{ \n "L0001": {\n "name": "L0001",\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\n "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60],\n "audiogram_levels_r": [ 10, 15, 25, 40, 50, 65, 65, 70 ],\n },\n "L0002": {\n // ... etc\n },\n// ... etc\n}\n'})}),"\n",(0,a.jsx)(n.h3,{id:"d10-scene-listener-map",children:"D.10 Scene-Listener map"}),"\n",(0,a.jsx)(n.p,{children:"JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners."}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-json",metastring:'title="scenes_listeners.json"',children:'{\n "S00001": ["L0001", "L0002", "L0003"],\n "S00002": ["L0003". "L0005", "L0007"],\n// etc\n}\n'})})]})}function h(e={}){const{wrapper:n}={...(0,s.a)(),...e.components};return n?(0,a.jsx)(n,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}},11151:(e,n,i)=>{i.d(n,{Z:()=>l,a:()=>r});var a=i(67294);const s={},t=a.createContext(s);function r(e){const n=a.useContext(t);return a.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),a.createElement(t.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/ab4cb5bb.6e1fe4f5.js b/assets/js/ab4cb5bb.6e1fe4f5.js new file mode 100644 index 000000000..398d65bad --- /dev/null +++ b/assets/js/ab4cb5bb.6e1fe4f5.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6140],{53968:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>d,contentTitle:()=>r,default:()=>h,frontMatter:()=>a,metadata:()=>o,toc:()=>c});var s=i(17624),t=i(4552);const a={id:"cpc2_data",title:"Data Specification",sidebar_label:"Data Specification",sidebar_position:3},r=void 0,o={id:"cpc2/cpc2_data",title:"Data Specification",description:"The data for CPC2 is derived from 1st and 2nd Clarity Enhancement challenges (CEC1 and CEC2), i.e. the processed signals are the outputs of systems submitted by participants, and the listener responses were collected when evaluating these systems.",source:"@site/docs/cpc2/cpc2_data.mdx",sourceDirName:"cpc2",slug:"/cpc2/cpc2_data",permalink:"/docs/cpc2/cpc2_data",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:3,frontMatter:{id:"cpc2_data",title:"Data Specification",sidebar_label:"Data Specification",sidebar_position:3},sidebar:"tutorialSidebar_cpc2",previous:{title:"Download Data",permalink:"/docs/cpc2/cpc2_download"},next:{title:"Baseline system",permalink:"/docs/cpc2/cpc2_baseline"}},d={},c=[{value:"Overview",id:"overview",level:3},{value:"The hearing aid output signals",id:"the-hearing-aid-output-signals",level:2},{value:"The scene reference signals",id:"the-scene-reference-signals",level:2},{value:"The metadata",id:"the-metadata",level:2},{value:"The listener responses (<code>CECx.train.x.json</code>)",id:"the-listener-responses-cecxtrainxjson",level:3},{value:"The listener characteristics (<code>listeners.json</code>)",id:"the-listener-characteristics-listenersjson",level:3},{value:"The scene metadata (<code>scenes.CECx.json</code>)",id:"the-scene-metadata-scenescecxjson",level:3}];function l(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,t.M)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"The data for CPC2 is derived from 1st and 2nd Clarity Enhancement challenges (CEC1 and CEC2), i.e. the processed signals are the outputs of systems submitted by participants, and the listener responses were collected when evaluating these systems."}),"\n",(0,s.jsx)(n.admonition,{type:"info",children:(0,s.jsxs)(n.p,{children:["To obtain the data, please visit the ",(0,s.jsx)(n.a,{href:"./cpc2_download",children:"download page"}),"."]})}),"\n",(0,s.jsxs)(n.p,{children:["The data is distributed as a single gzipped tarball, ",(0,s.jsx)(n.code,{children:"clarity_CPC2_data.v1_0.tgz"})," which will unpack into the following directory structure:"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"clarity_CPC2_data\n\u251c\u2500\u2500 clarity_data\n\u2502\xa0\xa0 \u251c\u2500\u2500 HA_outputs \n\u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 signals\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 CEC1\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 CEC2\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 train.1\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 CEC1 # Hearing aid signals for training partition 1\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 CEC2 # Hearing aid signals for training partition 1\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 train.2\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 CEC1 # Hearing aid signals for training partition 2\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 CEC2 # Hearing aid signals for training partition 2\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 train.3 \n\u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 CEC1 # Hearing aid signals for training partition 3\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 CEC2 # Hearing aid signals for training partition 3\n\u2502\xa0\xa0 \u251c\u2500\u2500 metadata # Metadata for the signals and listener responses\n\u2502\xa0\xa0 \u2514\u2500\u2500 scenes\n\u2502\xa0\xa0 \u251c\u2500\u2500 CEC1 # Contains target reference signals \n\u2502\xa0\xa0 \u2514\u2500\u2500 CEC2 # Contains target reference signals\n\u2514\u2500\u2500 manifest \n"})}),"\n",(0,s.jsx)(n.h3,{id:"overview",children:"Overview"}),"\n",(0,s.jsx)(n.p,{children:"The training data essentially consists of signals and corresponding listener responses that you can use to train a prediction model."}),"\n",(0,s.jsxs)(n.p,{children:["To maximise the value of the data we have imposed a cross-validation evaluation design: The training data has been split into three partitions, ",(0,s.jsx)(n.code,{children:"train.1"}),", ",(0,s.jsx)(n.code,{children:"train.2"})," and ",(0,s.jsx)(n.code,{children:"train.3"})," which are paired with three disjoint evaluation partitions ",(0,s.jsx)(n.code,{children:"eval.1"}),", ",(0,s.jsx)(n.code,{children:"eval.2"})," and ",(0,s.jsx)(n.code,{children:"eval.3"})," which will be released. You are asked to train three versions of your final system, i.e., one for each training data subset. This will ensure that we can evaluate your system on unseen listeners and hearing aid systems."]}),"\n",(0,s.jsx)(n.p,{children:"Note, some signals and responses come from CEC1 and some from CEC2. CEC1 used simple scenes with a single interferer; CEC2 had multiple interferers. The evaluation data will only use CEC2 scenes."}),"\n",(0,s.jsx)(n.h2,{id:"the-hearing-aid-output-signals",children:"The hearing aid output signals"}),"\n",(0,s.jsxs)(n.p,{children:["The hearing aid output signals are stored under ",(0,s.jsx)(n.code,{children:"clarity_data/HA_output"})," and separated into three separate directories, ",(0,s.jsx)(n.code,{children:"train.1"}),", ",(0,s.jsx)(n.code,{children:"train.2"})," and ",(0,s.jsx)(n.code,{children:"train.3"}),". Each of these directories contains two subdirectories, ",(0,s.jsx)(n.code,{children:"CEC1"})," and ",(0,s.jsx)(n.code,{children:"CEC2"}),", which contain the hearing aid output signals from the CEC1 and CEC2 datasets respectively."]}),"\n",(0,s.jsx)(n.p,{children:"The signals are stored in 16-bit stereo WAV format, with a sampling rate of 32 kHz. The signals are named according to the following convention:"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"<SCENE_ID>_<LISTENER_ID>_<SYSTEM_ID>.wav # e.g., S09463_L0242_E009.wav\n"})}),"\n",(0,s.jsxs)(n.p,{children:["Where ",(0,s.jsx)(n.code,{children:"<SCENE_ID>"})," is the scene identifier, ",(0,s.jsx)(n.code,{children:"<LISTENER_ID>"})," is the listener identifier and ",(0,s.jsx)(n.code,{children:"<SYSTEM_ID>"})," is the hearing aid system identifier."]}),"\n",(0,s.jsx)(n.h2,{id:"the-scene-reference-signals",children:"The scene reference signals"}),"\n",(0,s.jsxs)(n.p,{children:["The target reference signals and hearing aid ",(0,s.jsx)(n.strong,{children:"input"})," signals are stored under ",(0,s.jsx)(n.code,{children:"clarity_data/scenes"})," and separated into two separate directories, ",(0,s.jsx)(n.code,{children:"CEC1"})," and ",(0,s.jsx)(n.code,{children:"CEC2"}),", which contain the target reference signals from the CEC1 and CEC2 datasets respectively. (Note, data for the three training set partitions is stored in the same directory.)"]}),"\n",(0,s.jsx)(n.p,{children:"There are a set of stereo audio files for each scene, as follows:"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"<SCENE_ID>_target_ref.wav # The target reference signal for the intrusiveness intelligibility prediction task\n\n<SCENE_ID>_target_anechoic.wav # The anechoic speech target signal\n<SCENE_ID>_target_<CHANNEL>.wav # The target speech signal for the scene\n<SCENE_ID>_interferer_<CHANNEL>.wav # The interfering noise for the scene\n<SCENE_ID>_mixed_<CHANNEL>.wav # The mixed target and interfering noise.\n"})}),"\n",(0,s.jsxs)(n.p,{children:["where ",(0,s.jsx)(n.code,{children:"<SCENE_ID>"})," is the scene identifier and ",(0,s.jsx)(n.code,{children:"<CHANNEL>"})," can be either ",(0,s.jsx)(n.code,{children:"CH0"}),", ",(0,s.jsx)(n.code,{children:"CH1"}),", ",(0,s.jsx)(n.code,{children:"CH2"})," or ",(0,s.jsx)(n.code,{children:"CH3"}),". The channels ",(0,s.jsx)(n.code,{children:"CH1"}),", ",(0,s.jsx)(n.code,{children:"CH2"})," and ",(0,s.jsx)(n.code,{children:"CH3"})," are the front, middle and rear hearing aid microphones respectively (each is stereo pair). ",(0,s.jsx)(n.code,{children:"CH0"})," is the ",(0,s.jsx)(n.code,{children:"eardrum signal"}),", i.e., as would be received by the listener's ear canal."]}),"\n",(0,s.jsx)(n.p,{children:"Of these signals, the following is the most important:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_target_ref.wav"}),"\nThis is the signal that should be used as ",(0,s.jsx)(n.strong,{children:"the reference for your intrusive intelligibility prediction model"}),". Note, this is the only signal that will be available in the evaluation data. It is a non-reverberant version of the target signal aligned with the target component of the mixed signal received by the hearing aid. It has been scaled to have the same energy as the target component of the mixed signal received by the hearing aid."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"The remaining hearing aid input signals are provided for completeness"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_mixed_<CHANNEL>.wav"})," The noisy speech signals that were received by the hearing aid, i.e. the signals that were processed to produce the HA output signals."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_target_<CHANNEL>.wav"})," The target speech component of the mixed signals that were received by the hearing aid."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_interferer_<CHANNEL>.wav"})," The interfering noise component of the mixed signals that were received by the hearing aid."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_target_anechoic.wav"})," The anechoic target speech signal (i.e., same as the target reference signal but without the correct scaling)."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"It is not anticipated that you will necessarily need these signals for training prediction models but they have been included to help participants gain a better understanding of the data."}),"\n",(0,s.jsx)(n.h2,{id:"the-metadata",children:"The metadata"}),"\n",(0,s.jsxs)(n.p,{children:["The metadata directory (",(0,s.jsx)(n.code,{children:"clarity_data/metadata"}),") stores the listener responses to the signals, the listener characteristics and metadata related to each of the scenes (e.g., interferer types, input SNR, etc.)."]}),"\n",(0,s.jsxs)(n.p,{children:["You will find the following ",(0,s.jsx)(n.code,{children:"JSON"})," format files,"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-text",children:"CEC1.train.1.json, CEC2.train.1.json\nCEC1.train.2.json, CEC2.train.2.json\nCEC1.train.3.json, CEC2.train.3.json\nlisteners.json\nscenes.CEC1.json, scenes.CEC2.json\n"})}),"\n",(0,s.jsx)(n.p,{children:"The contents of these files are as follows."}),"\n",(0,s.jsxs)(n.h3,{id:"the-listener-responses-cecxtrainxjson",children:["The listener responses (",(0,s.jsx)(n.code,{children:"CECx.train.x.json"}),")"]}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.code,{children:"CEC1.train.x.json"})," and ",(0,s.jsx)(n.code,{children:"CEC2.train.x.json"})," files contains a list of dictionaries, each describing a listener response to a signal. The fields are as follows:"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-json",metastring:'title="CEC<x>.train.<y>.json"',children:' [\n {\n "prompt": "i don\'t want us to apportion blame she said",\n "scene": "S08547",\n "n_words": 9,\n "hits": 4,\n "listener": "L0239",\n "system": "E001",\n "correctness": 44.4444444444,\n "response": "i don\'t want to have to report he said",\n "volume": 56,\n "signal": "S08547_L0239_E001"\n },\n // ... etc\n ]\n'})}),"\n",(0,s.jsx)(n.p,{children:"In the above,"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"signal"})," identifies the hearing aid output signal that you will find in the the ",(0,s.jsx)(n.code,{children:"HA_outputs\\train.1\\CEC1"})," or ",(0,s.jsx)(n.code,{children:"HA_outputs\\train.1\\CEC2 directories"})]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"listener"})," is the ID of the listener who provided the response. Using this you can look up the listener's audiogram in the ",(0,s.jsx)(n.code,{children:"listeners.json"})," file."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"correctness"})," is the percentage of words that the listener correctly identified. ",(0,s.jsx)(n.strong,{children:"This is the number that you are being asked to predict."})]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"volume"})," is the value of the volume control on the hearing aid that the listener used to listen to the signal. This is on a scale of 0 to 100 and was set by default to 50 but listeners were free to adjust it at the start of each session to achieve a comfortable listening level."]}),"\n"]}),"\n",(0,s.jsxs)(n.h3,{id:"the-listener-characteristics-listenersjson",children:["The listener characteristics (",(0,s.jsx)(n.code,{children:"listeners.json"}),")"]}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.code,{children:"listeners.json"})," provides the pure tone audiogram of the left and right ear of each listener. This is stored as a dictionary with the listener ID as the key to facilitate easy look-up."]}),"\n",(0,s.jsx)(n.p,{children:"For each listener the audiogram is stored as a list of frequencies and the corresponding list of levels for the left and right ear. The frequencies are in Hz and the levels are in dB HL."}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{\n "L0200": {\n "name": "L0200",\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\n "audiogram_levels_l": [35, 30, 25, 50, 55, 65, 70, 65],\n "audiogram_levels_r": [45, 40, 35, 60, 65, 75, 80, 75],\n },\n // ... etc\n}\n'})}),"\n",(0,s.jsx)(n.p,{children:"Note, listener audiograms will also be provided in the evaluation data, however, the listeners in the evaluation sets will not overlap with listeners in the corresponding training sets, i.e., your predictions systems are expected to be able generalise to new listeners."}),"\n",(0,s.jsxs)(n.h3,{id:"the-scene-metadata-scenescecxjson",children:["The scene metadata (",(0,s.jsx)(n.code,{children:"scenes.CECx.json"}),")"]}),"\n",(0,s.jsx)(n.p,{children:"The scene metadata contains information about the scene, the target and interfering noise signals, and the SNR of the mixed signal, etc. The data will not be available for the evaluation signals and is being provided here for context and to help participants gain an understanding of the signals."}),"\n",(0,s.jsxs)(n.p,{children:["For a complete description of the scene metadata please see the documentation for the CEC1 and CEC2 challenges. The ",(0,s.jsx)(n.code,{children:"scenes.CEC1.json"})," has the format described ",(0,s.jsx)(n.a,{href:"../cec1/data/cec1_data#d8-scene-metadata",children:"here"}),", and the ",(0,s.jsx)(n.code,{children:"scenes.CEC2.json"})," has the format described ",(0,s.jsx)(n.a,{href:"../cec1/data/cec1_data#d8-scene-metadata",children:"here"}),"."]})]})}function h(e={}){const{wrapper:n}={...(0,t.M)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(l,{...e})}):l(e)}},4552:(e,n,i)=>{i.d(n,{I:()=>o,M:()=>r});var s=i(11504);const t={},a=s.createContext(t);function r(e){const n=s.useContext(a);return s.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:r(e.components),s.createElement(a.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/ab4cb5bb.be5dbf83.js b/assets/js/ab4cb5bb.be5dbf83.js deleted file mode 100644 index c4cc7e6f9..000000000 --- a/assets/js/ab4cb5bb.be5dbf83.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[5796],{51308:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>d,contentTitle:()=>r,default:()=>h,frontMatter:()=>a,metadata:()=>o,toc:()=>c});var s=i(85893),t=i(11151);const a={id:"cpc2_data",title:"Data Specification",sidebar_label:"Data Specification",sidebar_position:3},r=void 0,o={id:"cpc2/cpc2_data",title:"Data Specification",description:"The data for CPC2 is derived from 1st and 2nd Clarity Enhancement challenges (CEC1 and CEC2), i.e. the processed signals are the outputs of systems submitted by participants, and the listener responses were collected when evaluating these systems.",source:"@site/docs/cpc2/cpc2_data.mdx",sourceDirName:"cpc2",slug:"/cpc2/cpc2_data",permalink:"/docs/cpc2/cpc2_data",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:3,frontMatter:{id:"cpc2_data",title:"Data Specification",sidebar_label:"Data Specification",sidebar_position:3},sidebar:"tutorialSidebar_cpc2",previous:{title:"Download Data",permalink:"/docs/cpc2/cpc2_download"},next:{title:"Baseline system",permalink:"/docs/cpc2/cpc2_baseline"}},d={},c=[{value:"Overview",id:"overview",level:3},{value:"The hearing aid output signals",id:"the-hearing-aid-output-signals",level:2},{value:"The scene reference signals",id:"the-scene-reference-signals",level:2},{value:"The metadata",id:"the-metadata",level:2},{value:"The listener responses (<code>CECx.train.x.json</code>)",id:"the-listener-responses-cecxtrainxjson",level:3},{value:"The listener characteristics (<code>listeners.json</code>)",id:"the-listener-characteristics-listenersjson",level:3},{value:"The scene metadata (<code>scenes.CECx.json</code>)",id:"the-scene-metadata-scenescecxjson",level:3}];function l(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,t.a)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"The data for CPC2 is derived from 1st and 2nd Clarity Enhancement challenges (CEC1 and CEC2), i.e. the processed signals are the outputs of systems submitted by participants, and the listener responses were collected when evaluating these systems."}),"\n",(0,s.jsx)(n.admonition,{type:"info",children:(0,s.jsxs)(n.p,{children:["To obtain the data, please visit the ",(0,s.jsx)(n.a,{href:"./cpc2_download",children:"download page"}),"."]})}),"\n",(0,s.jsxs)(n.p,{children:["The data is distributed as a single gzipped tarball, ",(0,s.jsx)(n.code,{children:"clarity_CPC2_data.v1_0.tgz"})," which will unpack into the following directory structure:"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"clarity_CPC2_data\n\u251c\u2500\u2500 clarity_data\n\u2502\xa0\xa0 \u251c\u2500\u2500 HA_outputs \n\u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 signals\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 CEC1\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 CEC2\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 train.1\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 CEC1 # Hearing aid signals for training partition 1\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 CEC2 # Hearing aid signals for training partition 1\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 train.2\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 CEC1 # Hearing aid signals for training partition 2\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 CEC2 # Hearing aid signals for training partition 2\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 train.3 \n\u2502\xa0\xa0 \u2502\xa0\xa0 \u251c\u2500\u2500 CEC1 # Hearing aid signals for training partition 3\n\u2502\xa0\xa0 \u2502\xa0\xa0 \u2514\u2500\u2500 CEC2 # Hearing aid signals for training partition 3\n\u2502\xa0\xa0 \u251c\u2500\u2500 metadata # Metadata for the signals and listener responses\n\u2502\xa0\xa0 \u2514\u2500\u2500 scenes\n\u2502\xa0\xa0 \u251c\u2500\u2500 CEC1 # Contains target reference signals \n\u2502\xa0\xa0 \u2514\u2500\u2500 CEC2 # Contains target reference signals\n\u2514\u2500\u2500 manifest \n"})}),"\n",(0,s.jsx)(n.h3,{id:"overview",children:"Overview"}),"\n",(0,s.jsx)(n.p,{children:"The training data essentially consists of signals and corresponding listener responses that you can use to train a prediction model."}),"\n",(0,s.jsxs)(n.p,{children:["To maximise the value of the data we have imposed a cross-validation evaluation design: The training data has been split into three partitions, ",(0,s.jsx)(n.code,{children:"train.1"}),", ",(0,s.jsx)(n.code,{children:"train.2"})," and ",(0,s.jsx)(n.code,{children:"train.3"})," which are paired with three disjoint evaluation partitions ",(0,s.jsx)(n.code,{children:"eval.1"}),", ",(0,s.jsx)(n.code,{children:"eval.2"})," and ",(0,s.jsx)(n.code,{children:"eval.3"})," which will be released. You are asked to train three versions of your final system, i.e., one for each training data subset. This will ensure that we can evaluate your system on unseen listeners and hearing aid systems."]}),"\n",(0,s.jsx)(n.p,{children:"Note, some signals and responses come from CEC1 and some from CEC2. CEC1 used simple scenes with a single interferer; CEC2 had multiple interferers. The evaluation data will only use CEC2 scenes."}),"\n",(0,s.jsx)(n.h2,{id:"the-hearing-aid-output-signals",children:"The hearing aid output signals"}),"\n",(0,s.jsxs)(n.p,{children:["The hearing aid output signals are stored under ",(0,s.jsx)(n.code,{children:"clarity_data/HA_output"})," and separated into three separate directories, ",(0,s.jsx)(n.code,{children:"train.1"}),", ",(0,s.jsx)(n.code,{children:"train.2"})," and ",(0,s.jsx)(n.code,{children:"train.3"}),". Each of these directories contains two subdirectories, ",(0,s.jsx)(n.code,{children:"CEC1"})," and ",(0,s.jsx)(n.code,{children:"CEC2"}),", which contain the hearing aid output signals from the CEC1 and CEC2 datasets respectively."]}),"\n",(0,s.jsx)(n.p,{children:"The signals are stored in 16-bit stereo WAV format, with a sampling rate of 32 kHz. The signals are named according to the following convention:"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"<SCENE_ID>_<LISTENER_ID>_<SYSTEM_ID>.wav # e.g., S09463_L0242_E009.wav\n"})}),"\n",(0,s.jsxs)(n.p,{children:["Where ",(0,s.jsx)(n.code,{children:"<SCENE_ID>"})," is the scene identifier, ",(0,s.jsx)(n.code,{children:"<LISTENER_ID>"})," is the listener identifier and ",(0,s.jsx)(n.code,{children:"<SYSTEM_ID>"})," is the hearing aid system identifier."]}),"\n",(0,s.jsx)(n.h2,{id:"the-scene-reference-signals",children:"The scene reference signals"}),"\n",(0,s.jsxs)(n.p,{children:["The target reference signals and hearing aid ",(0,s.jsx)(n.strong,{children:"input"})," signals are stored under ",(0,s.jsx)(n.code,{children:"clarity_data/scenes"})," and separated into two separate directories, ",(0,s.jsx)(n.code,{children:"CEC1"})," and ",(0,s.jsx)(n.code,{children:"CEC2"}),", which contain the target reference signals from the CEC1 and CEC2 datasets respectively. (Note, data for the three training set partitions is stored in the same directory.)"]}),"\n",(0,s.jsx)(n.p,{children:"There are a set of stereo audio files for each scene, as follows:"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"<SCENE_ID>_target_ref.wav # The target reference signal for the intrusiveness intelligibility prediction task\n\n<SCENE_ID>_target_anechoic.wav # The anechoic speech target signal\n<SCENE_ID>_target_<CHANNEL>.wav # The target speech signal for the scene\n<SCENE_ID>_interferer_<CHANNEL>.wav # The interfering noise for the scene\n<SCENE_ID>_mixed_<CHANNEL>.wav # The mixed target and interfering noise.\n"})}),"\n",(0,s.jsxs)(n.p,{children:["where ",(0,s.jsx)(n.code,{children:"<SCENE_ID>"})," is the scene identifier and ",(0,s.jsx)(n.code,{children:"<CHANNEL>"})," can be either ",(0,s.jsx)(n.code,{children:"CH0"}),", ",(0,s.jsx)(n.code,{children:"CH1"}),", ",(0,s.jsx)(n.code,{children:"CH2"})," or ",(0,s.jsx)(n.code,{children:"CH3"}),". The channels ",(0,s.jsx)(n.code,{children:"CH1"}),", ",(0,s.jsx)(n.code,{children:"CH2"})," and ",(0,s.jsx)(n.code,{children:"CH3"})," are the front, middle and rear hearing aid microphones respectively (each is stereo pair). ",(0,s.jsx)(n.code,{children:"CH0"})," is the ",(0,s.jsx)(n.code,{children:"eardrum signal"}),", i.e., as would be received by the listener's ear canal."]}),"\n",(0,s.jsx)(n.p,{children:"Of these signals, the following is the most important:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_target_ref.wav"}),"\nThis is the signal that should be used as ",(0,s.jsx)(n.strong,{children:"the reference for your intrusive intelligibility prediction model"}),". Note, this is the only signal that will be available in the evaluation data. It is a non-reverberant version of the target signal aligned with the target component of the mixed signal received by the hearing aid. It has been scaled to have the same energy as the target component of the mixed signal received by the hearing aid."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"The remaining hearing aid input signals are provided for completeness"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_mixed_<CHANNEL>.wav"})," The noisy speech signals that were received by the hearing aid, i.e. the signals that were processed to produce the HA output signals."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_target_<CHANNEL>.wav"})," The target speech component of the mixed signals that were received by the hearing aid."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_interferer_<CHANNEL>.wav"})," The interfering noise component of the mixed signals that were received by the hearing aid."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"<SCENE_ID>_target_anechoic.wav"})," The anechoic target speech signal (i.e., same as the target reference signal but without the correct scaling)."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"It is not anticipated that you will necessarily need these signals for training prediction models but they have been included to help participants gain a better understanding of the data."}),"\n",(0,s.jsx)(n.h2,{id:"the-metadata",children:"The metadata"}),"\n",(0,s.jsxs)(n.p,{children:["The metadata directory (",(0,s.jsx)(n.code,{children:"clarity_data/metadata"}),") stores the listener responses to the signals, the listener characteristics and metadata related to each of the scenes (e.g., interferer types, input SNR, etc.)."]}),"\n",(0,s.jsxs)(n.p,{children:["You will find the following ",(0,s.jsx)(n.code,{children:"JSON"})," format files,"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-text",children:"CEC1.train.1.json, CEC2.train.1.json\nCEC1.train.2.json, CEC2.train.2.json\nCEC1.train.3.json, CEC2.train.3.json\nlisteners.json\nscenes.CEC1.json, scenes.CEC2.json\n"})}),"\n",(0,s.jsx)(n.p,{children:"The contents of these files are as follows."}),"\n",(0,s.jsxs)(n.h3,{id:"the-listener-responses-cecxtrainxjson",children:["The listener responses (",(0,s.jsx)(n.code,{children:"CECx.train.x.json"}),")"]}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.code,{children:"CEC1.train.x.json"})," and ",(0,s.jsx)(n.code,{children:"CEC2.train.x.json"})," files contains a list of dictionaries, each describing a listener response to a signal. The fields are as follows:"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-json",metastring:'title="CEC<x>.train.<y>.json"',children:' [\n {\n "prompt": "i don\'t want us to apportion blame she said",\n "scene": "S08547",\n "n_words": 9,\n "hits": 4,\n "listener": "L0239",\n "system": "E001",\n "correctness": 44.4444444444,\n "response": "i don\'t want to have to report he said",\n "volume": 56,\n "signal": "S08547_L0239_E001"\n },\n // ... etc\n ]\n'})}),"\n",(0,s.jsx)(n.p,{children:"In the above,"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"signal"})," identifies the hearing aid output signal that you will find in the the ",(0,s.jsx)(n.code,{children:"HA_outputs\\train.1\\CEC1"})," or ",(0,s.jsx)(n.code,{children:"HA_outputs\\train.1\\CEC2 directories"})]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"listener"})," is the ID of the listener who provided the response. Using this you can look up the listener's audiogram in the ",(0,s.jsx)(n.code,{children:"listeners.json"})," file."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"correctness"})," is the percentage of words that the listener correctly identified. ",(0,s.jsx)(n.strong,{children:"This is the number that you are being asked to predict."})]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"volume"})," is the value of the volume control on the hearing aid that the listener used to listen to the signal. This is on a scale of 0 to 100 and was set by default to 50 but listeners were free to adjust it at the start of each session to achieve a comfortable listening level."]}),"\n"]}),"\n",(0,s.jsxs)(n.h3,{id:"the-listener-characteristics-listenersjson",children:["The listener characteristics (",(0,s.jsx)(n.code,{children:"listeners.json"}),")"]}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.code,{children:"listeners.json"})," provides the pure tone audiogram of the left and right ear of each listener. This is stored as a dictionary with the listener ID as the key to facilitate easy look-up."]}),"\n",(0,s.jsx)(n.p,{children:"For each listener the audiogram is stored as a list of frequencies and the corresponding list of levels for the left and right ear. The frequencies are in Hz and the levels are in dB HL."}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-json",metastring:'title="listeners.json"',children:'{\n "L0200": {\n "name": "L0200",\n "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000],\n "audiogram_levels_l": [35, 30, 25, 50, 55, 65, 70, 65],\n "audiogram_levels_r": [45, 40, 35, 60, 65, 75, 80, 75],\n },\n // ... etc\n}\n'})}),"\n",(0,s.jsx)(n.p,{children:"Note, listener audiograms will also be provided in the evaluation data, however, the listeners in the evaluation sets will not overlap with listeners in the corresponding training sets, i.e., your predictions systems are expected to be able generalise to new listeners."}),"\n",(0,s.jsxs)(n.h3,{id:"the-scene-metadata-scenescecxjson",children:["The scene metadata (",(0,s.jsx)(n.code,{children:"scenes.CECx.json"}),")"]}),"\n",(0,s.jsx)(n.p,{children:"The scene metadata contains information about the scene, the target and interfering noise signals, and the SNR of the mixed signal, etc. The data will not be available for the evaluation signals and is being provided here for context and to help participants gain an understanding of the signals."}),"\n",(0,s.jsxs)(n.p,{children:["For a complete description of the scene metadata please see the documentation for the CEC1 and CEC2 challenges. The ",(0,s.jsx)(n.code,{children:"scenes.CEC1.json"})," has the format described ",(0,s.jsx)(n.a,{href:"../cec1/data/cec1_data#d8-scene-metadata",children:"here"}),", and the ",(0,s.jsx)(n.code,{children:"scenes.CEC2.json"})," has the format described ",(0,s.jsx)(n.a,{href:"../cec1/data/cec1_data#d8-scene-metadata",children:"here"}),"."]})]})}function h(e={}){const{wrapper:n}={...(0,t.a)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(l,{...e})}):l(e)}},11151:(e,n,i)=>{i.d(n,{Z:()=>o,a:()=>r});var s=i(67294);const t={},a=s.createContext(t);function r(e){const n=s.useContext(a);return s.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:r(e.components),s.createElement(a.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/424e0e09.fd1bdda8.js b/assets/js/ac63d2fa.41b0c037.js similarity index 59% rename from assets/js/424e0e09.fd1bdda8.js rename to assets/js/ac63d2fa.41b0c037.js index 85ebd819b..98e98333c 100644 --- a/assets/js/424e0e09.fd1bdda8.js +++ b/assets/js/ac63d2fa.41b0c037.js @@ -1 +1 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[4288],{51004:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/evaluation","page":1,"postsPerPage":2,"totalPages":1,"totalCount":2,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[9e3],{15128:e=>{e.exports=JSON.parse('{"permalink":"/blog/tags/hearing-aid","page":1,"postsPerPage":2,"totalPages":1,"totalCount":2,"blogDescription":"News and updates about our Challenges and Workshops","blogTitle":"Latest News"}')}}]); \ No newline at end of file diff --git a/assets/js/ae0affdd.637ac9ae.js b/assets/js/ae0affdd.637ac9ae.js new file mode 100644 index 000000000..57c5084b7 --- /dev/null +++ b/assets/js/ae0affdd.637ac9ae.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[8780],{15380:(e,i,s)=>{s.r(i),s.d(i,{assets:()=>c,contentTitle:()=>o,default:()=>f,frontMatter:()=>r,metadata:()=>l,toc:()=>h});var t=s(17624),n=s(4552),a=s(70964);const r={id:"cec1_baseline",title:"Baseline System",sidebar_label:"Baseline System",sidebar_position:4,tags:["cec1","baseline"]},o=void 0,l={id:"cec1/software/cec1_baseline",title:"Baseline System",description:"Figure 1 shows a simplified schematic of the baseline system. For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). 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For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms."}),"\n",(0,t.jsx)(i.p,{children:"The speech in noise that has been improved by the hearing aid is then passed to the prediction stage (orange box). 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It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models."]}),"\n",(0,s.jsx)(i.p,{children:"Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener."}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-measured-with-listeners",children:"How is Speech Intelligibility measured with listeners?"}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence."}),"\n",(0,s.jsxs)(i.p,{children:["You might consider looking at ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S1877050918302187",children:"other metrics"}),", such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. 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Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals."}),"\n",(0,s.jsx)(i.p,{children:"Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal."}),"\n",(0,s.jsx)(i.li,{children:"Non-intrusive metrics (also known as single-ended or blind) are less well developed. 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We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(66636).c+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(96236).c+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(a.c,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. 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\ No newline at end of file diff --git a/assets/js/b2f554cd.2c0fbe42.js b/assets/js/b2f554cd.0bb55f9c.js similarity index 99% rename from assets/js/b2f554cd.2c0fbe42.js rename to assets/js/b2f554cd.0bb55f9c.js index 1439aa989..786f96801 100644 --- a/assets/js/b2f554cd.2c0fbe42.js +++ b/assets/js/b2f554cd.0bb55f9c.js @@ -1 +1 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[1477],{30010:e=>{e.exports=JSON.parse('{"blogPosts":[{"id":"CPC2 eval data released","metadata":{"permalink":"/blog/CPC2 eval data released","source":"@site/blog/2023-07-03-CPC2-eval-data-release.mdx","title":"CPC2 eval data released","description":"The CPC2 evaluation data has now been released.","date":"2023-07-03T00:00:00.000Z","formattedDate":"July 3, 2023","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CPC2","permalink":"/blog/tags/cpc-2"}],"readingTime":0.62,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CPC2 eval data released","title":"CPC2 eval data released","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","announcement","CPC2"]},"unlisted":false,"nextItem":{"title":"Clarity-2023 Workshop @ Interspeech, Dublin","permalink":"/blog/Clarity-2023 Workshop @ Interspeech, Dublin"}},"content":"The CPC2 evaluation data has now been released.\\n\\nThe data is available for download as a single 478 MB file, [clarity_CPC2_data.test.v1_0.tgz](https://mab.to/138typ3cpVBmK). The evaluation data should be untarred into the same root as the training data. Further details can be found on the [challenge website](https://claritychallenge.org/docs/cpc2/cpc2_intro).\\n\\nThe data consists of the hearing aid algorithm output signals, clean reference signals, listener audiograms, and head rotation information. Listener responses are not provided for the evaluation data but will be made available after the submission window has closed.\\n\\nFor details on how to prepare your submission [please see the instructions on the website](https://claritychallenge.org/docs/cpc2/taking_part/cpc2_submission).\\n\\nIf you have any questions please feel free to post them on this forum.\\n\\nThe submission window will close on the 31st of July.\\n\\nGood luck!"},{"id":"Clarity-2023 Workshop @ Interspeech, Dublin","metadata":{"permalink":"/blog/Clarity-2023 Workshop @ Interspeech, Dublin","source":"@site/blog/2023-06-21-clarity-2023-workshop.mdx","title":"Clarity-2023 Workshop @ Interspeech, Dublin","description":"We are pleased to announce the 4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023).","date":"2023-06-21T00:00:00.000Z","formattedDate":"June 21, 2023","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CPC2","permalink":"/blog/tags/cpc-2"}],"readingTime":2.52,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"Clarity-2023 Workshop @ Interspeech, Dublin","title":"Clarity-2023 Workshop @ Interspeech, Dublin","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","announcement","CPC2"]},"unlisted":false,"prevItem":{"title":"CPC2 eval data released","permalink":"/blog/CPC2 eval data released"},"nextItem":{"title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","permalink":"/blog/Announcing CPC2"}},"content":"We are pleased to announce the **4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023)**.\\n\\nThe event will be a one-day workshop held as an ISCA satellite event to Interspeech 2023 in Dublin, Ireland.\\n\\nFor registration and programme details please visit the workshop website\\n\\n[https://claritychallenge.github.io/clarity2023-workshop/](https://claritychallenge.github.io/clarity2023-workshop/\\n)\\n\\n**IMPORTANT DATES**\\n\\n- 2nd June 2023 - Workshop Submission Deadline (Regular Papers)\\n- 31st July 2023 - Workshop Submission Deadline (Clarity Challenge Papers)\\n- 5th August 2023 - Registration closes\\n- 19th August - Workshop / Clarity Challenge results announced\\n\\n**About**\\n\\nOne of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. The inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss.\\n\\nThe Clarity workshops are designed to stimulate a two-way conversation between the speech research community and hearing aid developers. Hearing aid developers, who are not typically represented at Interspeech, will have an opportunity to present the challenges of their industry to the speech community; the speech community will be able to present and discuss potentially transformative approaches to speech in noise processing in the presence of hearing researchers and industry experts.\\n\\n**Topics**\\n\\nAny work related to the challenges of hearing aid signal processing will be considered relevant topics include,\\n\\n- Binaural technology for speech enhancement and source separation\\n- Multi-microphone processing technology\\n- Real-time approaches to speech enhancement\\n- Statistical model-driven approaches to hearing aid processing\\n- Audio quality & intelligibility assessment hearing aid and cochlear implant users\\n- Efficient and effective integration of psychoacoustic testing in machine learning\\n- Machine learning for diverse target listeners\\n- Machine learning models of hearing impairment\\n\\n**The 2nd Clarity Prediction Challenge**\\n\\nThe Clarity-2023 will also host the 2nd Clarity Prediction Challenge, that is addressing the problem of developing new intrusive and non-intrusive approaches to hearing-aid speech intelligibility prediction. The Challenge will be launching on 1st March, is you may be interested in participating please sign up to our Google group for further announcements.\\n\\n**Keynote Talks**\\n\\n- Prof Fei Chen, SUSTech, China,\\n- Prof DeLiang Wang, Ohio State University, US\\n\\n**Organisers**\\n\\n- Michael Akeroyd, University of Nottingham\\n- Jon Barker, University of Sheffield\\n- Trevor Cox, University of Salford\\n- Fei Chen, Southern University of Science and Technology, China\\n- John Culling, University of Cardiff\\n- Simone Graetzer, University of Salford\\n- Andrew Hines, University College Dublin\\n\\n**For further information**\\n\\nTo be kept up to date please join our [Clarity Challenge Google group](https://groups.google.com/g/clarity-challenge). If you have questions, please contact us directly using the [contact details found here](https://claritychallenge.org/contact).\\n\\n**Funded by** the Engineering and Physical Sciences Research Council (EPSRC), UK\\n\\n**Supported by** RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research"},{"id":"Announcing CPC2","metadata":{"permalink":"/blog/Announcing CPC2","source":"@site/blog/2023-03-17-announcing-CPC2.mdx","title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","description":"The 2nd Clarity Prediction Challenge - Register Now","date":"2023-03-17T00:00:00.000Z","formattedDate":"March 17, 2023","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CPC2","permalink":"/blog/tags/cpc-2"}],"readingTime":1.72,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","image_url":"https://avatars.githubusercontent.com/jonbarker68","imageURL":"https://avatars.githubusercontent.com/jonbarker68"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Announcing CPC2","title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","image_url":"https://avatars.githubusercontent.com/jonbarker68","imageURL":"https://avatars.githubusercontent.com/jonbarker68"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["clarity","announcement","CPC2"]},"unlisted":false,"prevItem":{"title":"Clarity-2023 Workshop @ Interspeech, Dublin","permalink":"/blog/Clarity-2023 Workshop @ Interspeech, Dublin"},"nextItem":{"title":"ICASSP 2023 evaluation data released","permalink":"/blog/ICASSP 2023 evaluation data released"}},"content":"The 2nd Clarity Prediction Challenge - [Register Now](https://claritychallenge.org/docs/cpc2/taking_part/cpc2_registration)\\n\\nTo allow the development of better hearing aids, we need ways to evaluate the speech intelligibility of audio signals automatically. We need a prediction model that takes the audio produced by a hearing aid and the listener\'s characteristics (e.g. audiogram) and estimates the speech intelligibility score that the listener would achieve in a listening test.\\n\\nLast year we ran the [CPC1 Challenge](https://claritychallenge.org/docs/cpc1/cpc1_intro) to develop such models. The challenge was presented at an online workshop and a special session of Interspeech 2022. We are now running the 2nd round of this challenge (CPC2), which builds on the first by using more complex signals and a larger set of listening test data for training and evaluating the prediction systems.\\n\\nThe outputs of the new challenge will be presented at an [ISCA workshop](https://claritychallenge.org/clarity2023-workshop/) that is being run as a satellite event to Interspeech 2023 in Dublin on 19th August 2023.\\n\\nFull details can be found on the Challenge Website.\\n\\n### Register now to take part\\n\\nIf you are interested in participating please register now via the [online registration form](https://claritychallenge.org/docs/cpc2/taking_part/cpc2_registration).\\n\\n### Important Dates\\n\\n- March - Launch of challenge, release of training data + baseline system.\\n- 1st July - Release of evaluation data and opening of submission window.\\n- 31st July - Submission deadline.\\n- 19th August - ISCA Clarity 2023 workshop @ Interspeech\\n- 19th September - Deadline for submission of finalised Workshop papers\\n\\n### What will be provided\\n\\n- Audio produced by a variety of (simulated) hearing aids for speech-in-noise;\\n- The corresponding clean reference signals (the original speech);\\n- Characteristics of the listeners (pure tone audiograms, etc);\\n- The measured speech intelligibility scores from listening tests, where hearing-impaired listeners were asked to say what they heard after listening to the hearing aid processed signals.\\n- Software tools including a baseline system based on HASPI scores.\\n\\n### For further information\\n\\nTo be kept up to date please join our [Clarity Challenge Google group](https://groups.google.com/g/clarity-challenge). If you have questions, please contact us directly using the contact details found [here](https://claritychallenge.org/contact)."},{"id":"ICASSP 2023 evaluation data released","metadata":{"permalink":"/blog/ICASSP 2023 evaluation data released","source":"@site/blog/2023-02-02-ICASSP-eval-data.mdx","title":"ICASSP 2023 evaluation data released","description":"We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download.","date":"2023-02-02T00:00:00.000Z","formattedDate":"February 2, 2023","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CEC2","permalink":"/blog/tags/cec-2"},{"label":"ICASSP2023","permalink":"/blog/tags/icassp-2023"}],"readingTime":0.8,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","image_url":"https://avatars.githubusercontent.com/jonbarker68","imageURL":"https://avatars.githubusercontent.com/jonbarker68"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"ICASSP 2023 evaluation data released","title":"ICASSP 2023 evaluation data released","authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","image_url":"https://avatars.githubusercontent.com/jonbarker68","imageURL":"https://avatars.githubusercontent.com/jonbarker68"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["clarity","announcement","CEC2","ICASSP2023"]},"unlisted":false,"prevItem":{"title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","permalink":"/blog/Announcing CPC2"},"nextItem":{"title":"Announcement of ICASSP 2023 Grand Challenge","permalink":"/blog/Announcement of ICASSP 2023 Grand Challenge"}},"content":"import useBaseUrl from \'@docusaurus/useBaseUrl\';\\n\\nWe are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download.\\n\\n[https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO](https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO)\\n\\nFor instructions on preparing your submission please visit:\\n\\n[https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_submission](https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_submission)\\n\\n**If you have not yet registered** it is not too late to do so. Please use the form at the link below and we will then send you a Team ID and a personalised upload link for your submission.\\n\\n[https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_registration](https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_registration)\\n\\nNote, we have extended the deadline for submission until Friday 10th February so that teams have a full week to process the signals.\\n\\nThe remaining schedule is as follows,\\n\\n- **2nd Feb 2023**: Release of evaluation data.\\n- **10th Feb 2023**: Teams submit processed signals and technical reports.\\n- **14th Feb 2023**: Results released. Top 5 ranked teams invited to submit papers to ICASSP-2023\\n- **20th Feb 2023**: Invited papers submitted to ICASSP-2023\\n- **4-9th June 2023**: Overview paper and invited papers presented at dedicated ICASSP session"},{"id":"Announcement of ICASSP 2023 Grand Challenge","metadata":{"permalink":"/blog/Announcement of ICASSP 2023 Grand Challenge","source":"@site/blog/2022-11-15-ICASSP-registration.mdx","title":"Announcement of ICASSP 2023 Grand Challenge","description":"We are pleased to announce that registration for the ICASSP 2023 Clarity Grand Challenge is now open.","date":"2022-11-15T00:00:00.000Z","formattedDate":"November 15, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.725,"hasTruncateMarker":false,"authors":[{"name":"Will Bailey","title":"Clarity Team Member","url":"https://www.sheffield.ac.uk/dcs/people/research-staff/will-bailey"}],"frontMatter":{"slug":"Announcement of ICASSP 2023 Grand Challenge","title":"Announcement of ICASSP 2023 Grand Challenge","author":"Will Bailey","author_title":"Clarity Team Member","author_url":"https://www.sheffield.ac.uk/dcs/people/research-staff/will-bailey","tags":["clarity","announcement","CEC2"]},"unlisted":false,"prevItem":{"title":"ICASSP 2023 evaluation data released","permalink":"/blog/ICASSP 2023 evaluation data released"},"nextItem":{"title":"CPC1 results and prizes","permalink":"/blog/CPC1 results and prizes"}},"content":"import useBaseUrl from \'@docusaurus/useBaseUrl\';\\n\\nWe are pleased to announce that registration for the **ICASSP 2023 Clarity Grand Challenge** is now open.\\n\\nTo register please complete the simple Google form found on the [registration page](/docs/icassp2023/taking_part/icassp2023_registration).\\n\\nThe remaining important dates for the challenge are as follows:\\n\\n- **28th Nov 2022**: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.\\n- **2nd Feb 2023**: Release of evaluation data.\\n- **10th Feb 2023**: Teams submit processed signals and technical reports.\\n- **14th Feb 2023**: Results released. Top 5 ranked teams invited to submit papers to ICASSP-2023\\n- **20th Feb 2023**: Invited papers submitted to ICASSP-2023\\n- **4-9th** June 2023: Overview paper and invited papers presented at dedicated ICASSP session\\n\\nThe challenge training, dev data and initial tools are now fully from the [Github repository](https://github.com/claritychallenge/clarity).\\n\\nIf you have any questions please do not hesitate to contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com)."},{"id":"CPC1 results and prizes","metadata":{"permalink":"/blog/CPC1 results and prizes","source":"@site/blog/2022-07-10-CPC1-results.mdx","title":"CPC1 results and prizes","description":"The 1st Clarity Prediction Challenge is now complete. Thank you to all who took part!","date":"2022-07-10T00:00:00.000Z","formattedDate":"July 10, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"registration","permalink":"/blog/tags/registration"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.625,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CPC1 results and prizes","title":"CPC1 results and prizes","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","registration","CEC2"]},"unlisted":false,"prevItem":{"title":"Announcement of ICASSP 2023 Grand Challenge","permalink":"/blog/Announcement of ICASSP 2023 Grand Challenge"},"nextItem":{"title":"CEC2 registration open","permalink":"/blog/CEC2 registration open"}},"content":"import useBaseUrl from \'@docusaurus/useBaseUrl\';\\n\\nThe 1st Clarity Prediction Challenge is now complete. Thank you to all who took part!\\n\\nThe full results can be found on the <a href=\\"https://claritychallenge.org/clarity2022-workshop/\\">Clarity-2022 workshop website</a> where you will also find links to system papers and the overview presentation.\\n\\nMany of the systems have led to successful Interspeech 2022 papers and will be contributing to the Interspeech 2022 special session on <a href=\\"https://claritychallenge.org/interspeech2022_siphil/\\">Speech Intelligibility Prediction for Hearing-Impaired Listeners</a>. We hope to see many of you in Korea!\\n\\nIn the meantime, please be sure to check out the onging <a href=\\"https://claritychallenge.org/docs/cec2/cec2_intro\\">2nd Clarity Enhancement Challenge</a>. The deadline for submitting enhanced signals is 1st September 2022, so there is still time to participate. To register a team please use the form <a href=\\"https://claritychallenge.org/docs/cec2/taking_part/cec2_registration\\">here</a>."},{"id":"CEC2 registration open","metadata":{"permalink":"/blog/CEC2 registration open","source":"@site/blog/2022-05-03-CEC2-registration.mdx","title":"CEC2 registration open","description":"We are pleased to announce that registration for the 2nd Clarity Enhancement Challenge (CEC2) is now open.","date":"2022-05-03T00:00:00.000Z","formattedDate":"May 3, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"registration","permalink":"/blog/tags/registration"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.62,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CEC2 registration open","title":"CEC2 registration open","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","registration","CEC2"]},"unlisted":false,"prevItem":{"title":"CPC1 results and prizes","permalink":"/blog/CPC1 results and prizes"},"nextItem":{"title":"Release of CEC2 baseline","permalink":"/blog/release of CEC2 baseline"}},"content":"import useBaseUrl from \'@docusaurus/useBaseUrl\';\\n\\nWe are pleased to announce that registration for the **2nd Clarity Enhancement Challenge (CEC2)** is now open.\\n\\nTo register please complete the simple Google form found on the [registration page](/docs/cec2/taking_part/cec2_registration).\\n\\nThe remaining important dates for the challenge are as follows:\\n\\n- **25th July 2022**: Evaluation data released\\n- **1st Sept 2022**: 1st round [submission](/docs/cec2/taking_part/cec2_submission) deadline for evaluation by objective measure\\n- **15th Sept 2022**: 2nd round [submission](/docs/cec2/taking_part/cec2_submission) deadline for listening tests\\n- **Sept-Nov 2022**: Listening test evaluation period.\\n- **2nd Dec 2022**: Results announced at a Clarity Challenge Workshop; prizes awarded.\\n\\nThe challenge training, dev data and initial tools are now fully from the [Github repository](https://github.com/claritychallenge/clarity).\\n\\nIf you have any questions please do not hesitate to contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com)."},{"id":"release of CEC2 baseline","metadata":{"permalink":"/blog/release of CEC2 baseline","source":"@site/blog/2022-05-02-CEC2-baseline.mdx","title":"Release of CEC2 baseline","description":"We are pleased to announce the release of the 2nd Clarity Enhancement Challenge (CEC2) baseline system code.","date":"2022-05-02T00:00:00.000Z","formattedDate":"May 2, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"baseline","permalink":"/blog/tags/baseline"},{"label":"HASPI","permalink":"/blog/tags/haspi"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.72,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"release of CEC2 baseline","title":"Release of CEC2 baseline","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","baseline","HASPI","CEC2"]},"unlisted":false,"prevItem":{"title":"CEC2 registration open","permalink":"/blog/CEC2 registration open"},"nextItem":{"title":"Launch of CEC2","permalink":"/blog/launch of CEC2"}},"content":"We are pleased to announce the release of the **2nd Clarity Enhancement Challenge (CEC2)** baseline system code.\\n\\nThe baseline code has been released in the latest commit to the [Clarity GitHub repository](https://github.com/claritychallenge/clarity). \\n\\nThe baseline system perform NAL-R amplification according to the audiogram of the target listener, followed by a simple gain control and output of the signals to 16-bit stereo wav format. The system has been kept deliberately simple with no microphone array processing or attempt at noise cancellation.\\n\\nHASPI scores for the dev set have been measured. The scores are as follows.\\n\\n| System | HASPI |\\n| --- | ---- |\\n| Unprocessed | 0.1615 |\\n| NAL-R baseline | 0.2493 |\\n\\nSee [here](/docs/cec2/software/cec2_baseline) for further details.\\n\\nIf you have any problems using the baseline code please do not hesitate to contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com), or post questions on the [Google group](https://groups.google.com/g/clarity-challenge)."},{"id":"launch of CEC2","metadata":{"permalink":"/blog/launch of CEC2","source":"@site/blog/2022-03-30-CEC2-launch.mdx","title":"Launch of CEC2","description":"We are pleased to announce the launch of the 2nd Clarity Enhancement Challenge (CEC2).","date":"2022-03-30T00:00:00.000Z","formattedDate":"March 30, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"launch","permalink":"/blog/tags/launch"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.845,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"launch of CEC2","title":"Launch of CEC2","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","launch","CEC2"]},"unlisted":false,"prevItem":{"title":"Release of CEC2 baseline","permalink":"/blog/release of CEC2 baseline"},"nextItem":{"title":"Live events in January","permalink":"/blog/Jan-2-live-events"}},"content":"We are pleased to announce the launch of the **2nd Clarity Enhancement Challenge (CEC2)**.\\n\\nThe website has been fully updated to provide you with all the information you will need to participate in the challenge.\\n\\nThe schedule for the challenge is as follows:\\n\\n- **13th April 2022**: [Release](/docs/cec2/cec2_download) of training and development data; initial tools.\\n- **30th April 2022**: [Release](/docs/cec2/cec2_download) of full toolset and baseline system.\\n- **1st May 2022**: [Registration](/docs/cec2/taking_part/cec2_registration) for challenge entrants opens.\\n- **25th July 2022**: Evaluation data released\\n- **1st Sept 2022**: 1st round [submission](/docs/cec2/taking_part/cec2_submission) deadline for evaluation by objective measure\\n- **15th Sept 2022**: 2nd round [submission](/docs/cec2/taking_part/cec2_submission) deadline for listening tests\\n- **Sept-Nov 2022**: Listening test evaluation period.\\n- **2nd Dec 2022**: Results announced at a Clarity Challenge Workshop; prizes awarded.\\n\\nThe challenge training, dev data and initial tools will be available from 13th April. In the meantime, please visit the [CEC2 Intro page](/docs/cec2/cec2_intro) to learn more about the task.\\n\\nIf you have any questions please do not hesitate to contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com)."},{"id":"Jan-2-live-events","metadata":{"permalink":"/blog/Jan-2-live-events","source":"@site/blog/2022-01-07_Jan_live_events.mdx","title":"Live events in January","description":"The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up.","date":"2022-01-07T00:00:00.000Z","formattedDate":"January 7, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"webinar","permalink":"/blog/tags/webinar"},{"label":"CPC1","permalink":"/blog/tags/cpc-1"}],"readingTime":1.61,"hasTruncateMarker":false,"authors":[{"name":"Lara Harris","title":"Clarity Team Member","url":"https://acoustictesting.salford.ac.uk/","imageURL":"https://avatars.githubusercontent.com/LaraHarris-Salford"}],"frontMatter":{"slug":"Jan-2-live-events","title":"Live events in January","author":"Lara Harris","author_title":"Clarity Team Member","author_url":"https://acoustictesting.salford.ac.uk/","author_image_url":"https://avatars.githubusercontent.com/LaraHarris-Salford","tags":["clarity","webinar","CPC1"]},"unlisted":false,"prevItem":{"title":"Launch of CEC2","permalink":"/blog/launch of CEC2"},"nextItem":{"title":"Introduction Webinar - Recording Available","permalink":"/blog/webinar-1-link"}},"content":"The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up.\\n\\n**The presentations will be very similar to the webinar in November.** These events are intended as a chance for people in different time zones to attend live and ask the team questions. \\n\\nHosting is via Microsoft Teams. You can join from your browser without needing to install Teams, but if you join from a mobile device you may need to install the Teams app.\\n\\n## Webinar - Challenge Overview\\n\\n### Friday 14th January \\n__9:00 GMT | 17:00 CST (GMT+8)__\\n\\n### [Click here to join the webinar](https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZjFhNjJhMzYtOWEyMC00NjNiLThjOTEtYTIwMTk2YTczZGRh%40thread.v2/0?context=%7b%22Tid%22%3a%2265b52940-f4b6-41bd-833d-3033ecbcf6e1%22%2c%22Oid%22%3a%223f282402-9a2d-4e68-b2d4-3c1f86585a45%22%7d)\\n\\n\\nAn introduction to the aims of the challenge and some background to the problem of speech intelligibility prediction for hearing aids:\\n\\n- Welcome, introduction to Clarity.\\n- Speech intelligibility models: Overview and why are they needed.\\n- Hearing impairment speech intelligibility prediction.\\n- The prediction challenge - details and how you can sign up to participate.\\n- Audience questions / discussion.\\n\\nThe presentations will be recorded and made available online shortly after the event. The Q&A discussion will not be recorded.\\n\\nYou are welcome to join slightly later if you are only interested in joining for the Q&A section (presentations should finish around 9:40 GMT).\\n\\n\\n\\n## Live Q&A session\\n\\n### Monday 17th January\\n\\n__17:00 GMT | 12:00 EST (GMT-5) | 9:00 PST (GMT-8)__\\n\\n### [Click here to join the Q&A](https://teams.microsoft.com/l/meetup-join/19%3ameeting_YTJhOGRmZGMtMjRiZS00MGY0LTliNjctZmZhMzhmNDI5M2I0%40thread.v2/0?context=%7b%22Tid%22%3a%2265b52940-f4b6-41bd-833d-3033ecbcf6e1%22%2c%22Oid%22%3a%223f282402-9a2d-4e68-b2d4-3c1f86585a45%22%7d)\\n\\nA chance to ask the team questions about the Clarity Prediction Challenge - for anyone that could not attend the webinar on Friday 14th due to time zone differences.\\n\\n__Please note there will be no presentations in this session.__ The talks from Friday\u2019s webinar will be uploaded to the [Clarity project YouTube channel](https://www.youtube.com/channel/UCIc8FCHUA3Il9PUPt-sW1qw/videos) later in the day so you are invited to watch those before joining this live Q&A."},{"id":"webinar-1-link","metadata":{"permalink":"/blog/webinar-1-link","source":"@site/blog/2021-12-13_Webinar_1_link.mdx","title":"Introduction Webinar - Recording Available","description":"The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online:","date":"2021-12-13T00:00:00.000Z","formattedDate":"December 13, 2021","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"webinar","permalink":"/blog/tags/webinar"},{"label":"CPC1","permalink":"/blog/tags/cpc-1"}],"readingTime":0.455,"hasTruncateMarker":false,"authors":[{"name":"Lara Harris","title":"Clarity Team Member","url":"https://acoustictesting.salford.ac.uk/","imageURL":"https://avatars.githubusercontent.com/LaraHarris-Salford"}],"frontMatter":{"slug":"webinar-1-link","title":"Introduction Webinar - Recording Available","author":"Lara Harris","author_title":"Clarity Team Member","author_url":"https://acoustictesting.salford.ac.uk/","author_image_url":"https://avatars.githubusercontent.com/LaraHarris-Salford","tags":["clarity","webinar","CPC1"]},"unlisted":false,"prevItem":{"title":"Live events in January","permalink":"/blog/Jan-2-live-events"},"nextItem":{"title":"Welcome to CPC1","permalink":"/blog/welcome to CPC1"}},"content":"The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online: \\n\\n<iframe width=\\"560\\" height=\\"315\\" src=\\"https://www.youtube.com/embed/G_9KczaoZY4\\" title=\\"YouTube video player\\" frameborder=\\"0\\" allow=\\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\\" allowfullscreen></iframe>\\n\\n\\n\\n\\n# Slides\\nThe slides are available to download:\\n\\n[1 Welcome and Overview](https://drive.google.com/file/d/1pycRrMv5OF9R6948Cda0QsJ4jh_Bek22/view?usp=sharing)\\n\\n[2 Speech Intelligibility Models](https://drive.google.com/file/d/1rScmDEUrtjBHG14VhWrKQu66-PiesU85/view?usp=sharing)\\n\\n[3 Hearing Impariment and SI Prediction](https://drive.google.com/file/d/1CQptm9sSIC8o2qHf_mtzQstLVhBnBzM_/view?usp=sharing)\\n\\n[4 Clarity Prediction Challenge Details](https://drive.google.com/file/d/1BVeqMbygIWyiIo61HEMjwjyEALxHipzP/view?usp=sharing)\\n\\n\\n\\nNote that we did not record the Q&A session at the end, but if you have questions about taking part in the challenge you can contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com)"},{"id":"welcome to CPC1","metadata":{"permalink":"/blog/welcome to CPC1","source":"@site/blog/2021-07-08-CPC1_welcome.mdx","title":"Welcome to CPC1","description":"Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we\'re still doing listening tests and preparing the data, so the download links don\'t work. If anything is unclear or you\'ve got questions, please contact us through the Google group.","date":"2021-07-08T00:00:00.000Z","formattedDate":"July 8, 2021","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"hello","permalink":"/blog/tags/hello"},{"label":"CPC1","permalink":"/blog/tags/cpc-1"}],"readingTime":0.27,"hasTruncateMarker":false,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"welcome to CPC1","title":"Welcome to CPC1","author":"Trevor Cox","author_title":"Clarity Team Member","author_url":"http://trevorcox.me/trevor-cox","author_image_url":"https://avatars.githubusercontent.com/trevorjcox","tags":["clarity","hello","CPC1"]},"unlisted":false,"prevItem":{"title":"Introduction Webinar - Recording Available","permalink":"/blog/webinar-1-link"},"nextItem":{"title":"CEC1 submissions received","permalink":"/blog/CEC1 submissions received"}},"content":"Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we\'re still doing listening tests and preparing the data, so the download links don\'t work. If anything is unclear or you\'ve got questions, please contact us through the Google group."},{"id":"CEC1 submissions received","metadata":{"permalink":"/blog/CEC1 submissions received","source":"@site/blog/2021-06-16-submission-deadline.mdx","title":"CEC1 submissions received","description":"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals.","date":"2021-06-16T00:00:00.000Z","formattedDate":"June 16, 2021","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"submission","permalink":"/blog/tags/submission"},{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":0.79,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CEC1 submissions received","title":"CEC1 submissions received","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","submission","CEC1"]},"unlisted":false,"prevItem":{"title":"Welcome to CPC1","permalink":"/blog/welcome to CPC1"},"nextItem":{"title":"CEC1 eval data released","permalink":"/blog/CEC1 eval data released"}},"content":"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals. \\n\\nPlease remember to submit your finalised system descriptions by June 22nd to the Clarity workshop following the [instructions provided on the workshop website](https://claritychallenge.github.io/clarity2021-workshop/submissions.html).\\n\\nWe are currently busy evaluating the submissions using the MBSTOI metric. We will be contacting teams on the 22nd with details of how to prepare signals for the listening panel evaluation.\\n\\n**If you have been working on the challenge but missed the submission deadline** then [please do get in contact](mailto:claritychallengecontact@gmail.com). We will still be happy to receive your signals and system descriptions. Although late entries will not be eligible for the official challenge ranking, we will be happy to compute the eval set MBSTOI score for you and may even be able to arrange listening test evaluation through our panel.\\n\\nFor any questions please contact us at [claritychallengecontact@gmail.com ](mailto:claritychallengecontact@gmail.com) or by posting to the [Clarity challenge google group](https://groups.google.com/g/clarity-challenge?pli=1)."},{"id":"CEC1 eval data released","metadata":{"permalink":"/blog/CEC1 eval data released","source":"@site/blog/2021-06-02-eval-data.mdx","title":"CEC1 eval data released","description":"The evaluation dataset is now available to download from the myairbridge download site. The evaluation data filename is clarityCEC1data.sceneseval.v11.tgz.","date":"2021-06-02T00:00:00.000Z","formattedDate":"June 2, 2021","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"evaluation","permalink":"/blog/tags/evaluation"},{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":1.235,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CEC1 eval data released","title":"CEC1 eval data released","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","evaluation","CEC1"]},"unlisted":false,"prevItem":{"title":"CEC1 submissions received","permalink":"/blog/CEC1 submissions received"},"nextItem":{"title":"Baseline speech intelligibility model in round one","permalink":"/blog/baseline"}},"content":"The evaluation dataset is now available to download from the myairbridge [download site](https://mab.to/I9mkGx4wsiiaX). The evaluation data filename is `clarity_CEC1_data.scenes_eval.v1_1.tgz`.\\n\\nFull details of how to prepare your submission are now available on this site. Please read them carefully.\\n\\n**Registration**: Teams must register via the Google form on the [How To Submit](/docs/cec1/taking_part/cec1_submission) page of this site. (Please complete this even if you have already completed a pre-registration form). Only one person from each team should register. Only those who have registered will be eligible to proceed to the evaluation. Once you have registered you will receive a confirmation email, a team ID and a link to a Google Drive to which you can upload your signals.\\n\\n**Submission deadline**: The deadline for submission is the **15th June**.\\n\\nThe submission consists of two components:\\n\\ni) a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used. This should be prepared as a Clarity-2021 workshop abstract and [submitted to the workshop](https://claritychallenge.github.io/clarity2021-workshop/).\\n\\nii) the set of processed signals that we will evaluate using the MBSTOI metric. Details of how to name and package your signals for upload can be found on the [How To Submit](/docs/cec1/taking_part/cec1_submission) page.\\n\\n**Listening Tests:** Teams that do well in the MBSTOI evaluation will be notified on **22nd June** and invited to submit further signals for the second stage Listening Test evaluation.\\n\\nFor any questions please contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com) or by posting to the [Clarity challenge google group](https://groups.google.com/g/clarity-challenge?pli=1)."},{"id":"baseline","metadata":{"permalink":"/blog/baseline","source":"@site/blog/2021-04-22-baseline-speech-intelligiblity-model.mdx","title":"Baseline speech intelligibility model in round one","description":"Some comments on signal alignment and level-insensitivity","date":"2021-04-22T00:00:00.000Z","formattedDate":"April 22, 2021","tags":[{"label":"audibility","permalink":"/blog/tags/audibility"},{"label":"intelligibility","permalink":"/blog/tags/intelligibility"},{"label":"MBSTOI","permalink":"/blog/tags/mbstoi"},{"label":"baseline","permalink":"/blog/tags/baseline"},{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":3.75,"hasTruncateMarker":true,"authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"}],"frontMatter":{"slug":"baseline","title":"Baseline speech intelligibility model in round one","author":"Simone Graetzer","author_title":"Clarity Team Member","author_url":"https://www.salford.ac.uk/our-staff/simone-graetzer","author_image_url":"https://avatars.githubusercontent.com/sgraetzer","tags":["audibility","intelligibility","MBSTOI","baseline","CEC1"]},"unlisted":false,"prevItem":{"title":"CEC1 eval data released","permalink":"/blog/CEC1 eval data released"},"nextItem":{"title":"Latency, computation time and real-time operation","permalink":"/blog/Latency, computation time and real-time operation"}},"content":"### Some comments on signal alignment and level-insensitivity\\n\\nOur baseline binaural speech intelligibility measure in round one is the Modified Binaural Short-Time Objective Intelligibility measure, or MBSTOI. This short post outlines the importance of correcting for delays that your hearing aid processing algorithm introduces into the audio signals to allow MBSTOI to estimate the speech intelligibility accurately. It also discusses the importance of considering the audibility of signals before evaluation with MBSTOI.\\n\\n## Evaluation\\n\\nIn stage one, entries will be ranked according to the average MBSTOI score across all samples in the evaluation test set. In the second stage, entries will be evaluated by the listening panel. There will be prizes for both stages. See this [page](https://claritychallenge.github.io/clarity_CEC1_doc/docs/cec1_rules) for more information.\\n\\n{/*truncate*/}\\n\\n## Signal alignment in time and frequency\\n\\nIf the signal processed by the hearing aid introduces a significant delay, you should correct for this delay before submitting your entry. This is necessary because MBSTOI requires alignment of the clean speech \u201creference\u201d with the processed signal in time and frequency. This needs to be done for both ear signals.\\n\\nMBSTOI downsamples signals to 10 kHz, uses a Discrete Fourier Transform to decompose the signal into one-third octave bands, and performs envelope extraction and short-time segmentation into 386 ms regions. Each region consists of 30 frames. These approaches are motivated by what is know about which frequencies and modulation frequencies are most important for intelligibility. For each frequency band and frame (over the region of which it is the last frame), an intermediate correlation coefficient is calculated between the clean reference and processed power envelopes for each ear. These are averaged to obtain the MBSTOI index. Thus is usually between 0 and 1, and rises monotonically with measured intelligibility scores, such that higher values indicate greater speech intelligibility. Alignment is therefore required at the level of the one-third octave bands and short-time regions.\\n\\nOur baseline corrects for broadband delay per ear due to the hearing loss model. (The delay is measured by running a kronnecker delta function through the model for each ear.) However, the baseline software will not correct for delays created by your hearing aid processing.\\n\\nConsequently, when submitting your hearing aid output signals, you are responsible for correcting for any delays introduced by your hearing aid. Note that this must be done blindly; the clean reference signals will not be supplied for the test/evaluation set.\\n\\n## Level insensitivity\\n\\nMBSTOI is level-independent, i.e., MBSTOI is broadly insensitive to the level of the processed signal because it is calculated using a cross-correlation method. This could be a problem because sounds that are below the auditory thresholds of the hearing impaired listener may appear to MBSTOI to be highly intelligible.\\n\\nTo overcome this, the baseline experimental code mbstoi_beta, in conjunction with the baseline hearing loss model, can be used to approximate hearing-impaired auditory thresholds. Specifically, mbstoi_beta adds internal noise that can be used to approximate normal hearing auditory thresholds. This noise, in combination with the attenuation of signals by the hearing loss model to simulate raised auditory thresholds, makes MBSTOI level-sensitive.\\n\\nThe noise is created by filtering white noise using pure tone threshold filter coefficients with one-third octave weighting, approximating the shape of a typical auditory filter (from Moore 2012, based on Patterson\u2019s method, 1976). This noise is added to the processed signal. Note, the standard MBSTOI in the equalisation-cancellation stage adds internal noise to parameters, but this is an independent process.\\n\\n## MBSTOI\\n\\nThe method was developed by Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen (Andersen et al., 2018). It builds on the Short-Time Objective Intelligibility (STOI) metric created by Cees H. Taal, Richard C. Hendriks, Richard Heusdens, and Jesper Jensen (Taal et al., 2011). MBSTOI includes a better ear stage and an equalisation-cancellation stage. For simplicity, the latter stage is not discussed here; see Andersen et al. (2018) for details.\\n\\n## References\\n\\n- Andersen, A. H., de Haan, J. M., Tan, Z. H., & Jensen, J. (2018). Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions. *Speech Communication*, 102, 1-13.\\n- Moore, B. C. (2012). *An introduction to the psychology of hearing*. Brill.\\n- Patterson, R. D. (1976). Auditory filter shapes derived with noise stimuli. *The Journal of the Acoustical Society of America*, 59(3), 640-654.\\n- Taal, C. H., Hendriks, R. C., Heusdens, R., & Jensen, J. (2011). An algorithm for intelligibility prediction of time\u2013frequency weighted noisy speech. *IEEE Transactions on Audio, Speech, and Language Processing*, 19(7), 2125-2136."},{"id":"Latency, computation time and real-time operation","metadata":{"permalink":"/blog/Latency, computation time and real-time operation","source":"@site/blog/2021-03-05-latency-computation-time-and-real-time-operation.mdx","title":"Latency, computation time and real-time operation","description":"An explanation of the time and computational limits for the first round of the enhancement challenge.","date":"2021-03-05T00:00:00.000Z","formattedDate":"March 5, 2021","tags":[{"label":"challenge","permalink":"/blog/tags/challenge"},{"label":"computation","permalink":"/blog/tags/computation"},{"label":"enhancement","permalink":"/blog/tags/enhancement"},{"label":"latency","permalink":"/blog/tags/latency"},{"label":"real-time","permalink":"/blog/tags/real-time"}],"readingTime":2.125,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Latency, computation time and real-time operation","title":"Latency, computation time and real-time operation","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["challenge","computation","enhancement","latency","real-time"]},"unlisted":false,"prevItem":{"title":"Baseline speech intelligibility model in round one","permalink":"/blog/baseline"},"nextItem":{"title":"Clarity Challenge pre-announcement","permalink":"/blog/Clarity Challenge pre-announcement"}},"content":"import rehypeKatex from \'rehype-katex\'\\nimport {remarkMath} from \\"remark-math\\";\\n\\nAn explanation of the time and computational limits for the first round of the enhancement challenge.\\n\\n## The 1st Clarity Enhancement Challenge\\n\\nFor a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. Such processing is useless for hearing aids and therefore our rules include a restriction on the use of future samples.\\n\\nThe rules state the following:\\n\\n- Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5ms).\\n- There is no limit on computational cost.\\n\\n{/*truncate*/}\\n\\nMathematically this is:\\n\\ny<sub>n</sub>=f(x<sub>m</sub> , x<sub>m+1</sub> ... x<sub>n+N-1</sub> , x<sub>n+N</sub> , L )\\n\\n- where y<sub>n</sub> is the output from your hearing aid for sample $n$.\\n- $x$ is the audio input signal from a hearing aid microphone.\\n- $N = 0.005 fs$ where $fs$ is the sampling frequency.\\n- $m$ is a sample number where $m \\\\le n$.\\n- $L$ is the listener characteristics.\\n- $f()$ is the hearing aid function. There is no limitation on how long this takes to compute.\\n- You can use multiple microphones; only a single input signal $x$ is shown here just for simplicity.\\n\\nHere it is illustrated as a diagram.\\n\\n![latency diagram](/img/latency_diagram-1.png)\\n\\nFigure. Example of how the limit of 5 ms is applied to a hearing aid input and output signal.\\nWe have a chosen a limit of 5 ms because in a real hearing aid there will be other sources of delay (e.g., analogue-to-digital, digital-to-analogue conversion).\\n\\n## Why is there no limitation of how long f() takes to compute?\\n\\nWe\u2019re trying to foster new approaches to hearing aid processing and decided that at this stage we will drive more innovation if we don\u2019t restrict computation time for round one. Such restrictions will be considered in future rounds.\\n\\n## Why haven\u2019t you talked about latency?\\n\\nIn discussions, it is apparent that this term is used in different ways by different people, so to avoid confusion we\u2019re not using it!\\n\\n## Do algorithms have to be real-time?\\n\\nThe above limitations mean that the algorithms could in theory be made real-time if a powerful enough computer was available, but your entry can take as long as it needs to process the signals."},{"id":"Clarity Challenge pre-announcement","metadata":{"permalink":"/blog/Clarity Challenge pre-announcement","source":"@site/blog/2020-11-24-clarity-challenge-pre-announcement.mdx","title":"Clarity Challenge pre-announcement","description":"Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don\u2019t use them. A key reason is simply that hearing aids don\u2019t provide enough benefit.","date":"2020-11-24T00:00:00.000Z","formattedDate":"November 24, 2020","tags":[{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":2.975,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Clarity Challenge pre-announcement","title":"Clarity Challenge pre-announcement","author":"Trevor Cox","author_title":"Clarity Team Member","author_url":"http://trevorcox.me/trevor-cox","author_image_url":"https://avatars.githubusercontent.com/trevorjcox","tags":["CEC1"]},"unlisted":false,"prevItem":{"title":"Latency, computation time and real-time operation","permalink":"/blog/Latency, computation time and real-time operation"},"nextItem":{"title":"One approach to our enhancement challenge","permalink":"/blog/One approach to our enhancement challenge"}},"content":"Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don\u2019t use them. A key reason is simply that hearing aids don\u2019t provide enough benefit.\\n\\nPicking out speech from background noise is a critical problem even for the most sophisticated devices. The purpose of the Clarity Challenges is to catalyse new work to radically improve the speech intelligibility provided by hearing aids.\\n\\nThe series of challenges will consider increasingly complex listening scenarios. The first round, launching in January 2021, will focus on speech in indoor environments in the presence of a single interferer. It will begin with a challenge involving improving hearing aid processing. Future challenges on how to model speech-in-noise perception will be launched at a later date.\\n\\n![Person using tablet](/img/UoN_HS-08207-1536x1024.jpeg)\\n\\n{/*truncate*/}\\n\\n## The Task\\n\\nYou will be provided with simulated scenes, each including a target speaker and interfering noise. For each scene, there will be signals that simulate those captured by a behind-the-ear hearing aid with three channels at each ear and those captured at the eardrum without a hearing aid present. The target speech will be a short sentence and the interfering noise will be either speech or domestic appliance noise.\\n\\nThe task will be to deliver a hearing aid signal processing algorithm that can improve the intelligibility of the target speaker for a specified hearing-impaired listener. Initially, entries will be evaluated using an objective speech intelligibility measure we will provide. Subsequently, up to twenty of the most promising systems will be evaluated by a panel of listeners.\\n\\nWe will provide a baseline system so that teams can choose to focus on individual components or to develop their own complete pipelines.\\n\\n## What will be provided\\n\\n- Evaluation of the best entries by a panel of hearing-impaired listeners.\\n- Speech + interferer scenes for training and evaluation.\\n- An entirely new database of 10,000 spoken sentences\\n- Listener characterisations including audiograms and speech-in-noise testing.\\n- Software including tools for generating training data, a baseline hearing aid algorithm, a baseline model of hearing impairment, and a binaural objective intelligibility measure.\\n\\n## Important Dates\\n\\n- January 2021 \u2013 Challenge launch and release of software and data\\n- April 2021 \u2013 Evaluation data released\\n- May 2021 \u2013 Submission deadline\\n- June-August 2021 \u2013 Listening test evaluation period\\n- September 2021 \u2013 Results announced at a Clarity Challenge Workshop in conjunction with Interspeech 2021\\n\\nChallenge and workshop participants will be invited to contribute to a journal Special Issue on the topic of Machine Learning for Hearing Aid Processing that will be announced next year.\\n\\n## Further information\\n\\nIf you are interested in participating and wish to receive further information, please sign up.\\n\\nIf you have questions, contact us directly at [contact@claritychallenge.org](mailto:contact@claritychallenge.org)\\n\\n## Organisers\\n\\n- Prof. Jon P. Barker, Department of Computer Science, University of Sheffield\\n- Prof. Michael A. Akeroyd, Hearing Sciences, School of Medicine, University of Nottingham\\n- Prof. Trevor J. Cox, Acoustics Research Centre, University of Salford\\n- Prof. John F. Culling, School of Psychology, Cardiff University\\n- Prof. Graham Naylor, Hearing Sciences, School of Medicine, University of Nottingham\\n- Dr Simone Graetzer, Acoustics Research Centre, University of Salford\\n- Dr Rhoddy Viveros Mu\xf1oz, School of Psychology, Cardiff University\\n- Eszter Porter, Hearing Sciences, School of Medicine, University of Nottingham\\n\\nFunded by the Engineering and Physical Sciences Research Council (EPSRC), UK.\\n\\nSupported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research, Honda Research Institute Europe.\\n\\n## Acknowledgement\\n\\nThe image copyright is owned by the University of Nottingham."},{"id":"One approach to our enhancement challenge","metadata":{"permalink":"/blog/One approach to our enhancement challenge","source":"@site/blog/2020-07-29-one-approach-to-our-enhancement-challenge.mdx","title":"One approach to our enhancement challenge","description":"Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function.","date":"2020-07-29T00:00:00.000Z","formattedDate":"July 29, 2020","tags":[{"label":"DNN","permalink":"/blog/tags/dnn"},{"label":"enhancement","permalink":"/blog/tags/enhancement"},{"label":"evaluation","permalink":"/blog/tags/evaluation"},{"label":"GAN","permalink":"/blog/tags/gan"},{"label":"hearing aid","permalink":"/blog/tags/hearing-aid"},{"label":"knowledge distillation","permalink":"/blog/tags/knowledge-distillation"}],"readingTime":3.59,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"One approach to our enhancement challenge","title":"One approach to our enhancement challenge","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["DNN","enhancement","evaluation","GAN","hearing aid","knowledge distillation"]},"unlisted":false,"prevItem":{"title":"Clarity Challenge pre-announcement","permalink":"/blog/Clarity Challenge pre-announcement"},"nextItem":{"title":"The speech-in-noise problem part two","permalink":"/blog/The speech-in-noise problem part two"}},"content":"Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function.\\n\\nThe aim of our Enhancement Challenge is to get people producing new algorithms for processing speech signals through hearing aids. We expect most entries to replace the classic hearing aid processing of Dynamic Range Compressors (DRCs) with [deep neural networks (DNN)](https://en.wikipedia.org/wiki/Deep_learning) (although all approaches are welcome!). The first round of the challenge is going to be all about improving speech intelligibility.\\n\\nSetting up a DNN structure and training regime for the task is not as straightforward as it might first appear. Figure 1 shows an example of a naive training regime. An audio example of Speech in Noise (SPIN) is randomly created (*audio sample generation*, bottom left), and a listener is randomly selected with particular hearing loss characteristics (*random artificial listener generation*, top left). The DNN Enhancement model (represented by the bright yellow box) then produces improved speech in noise. (Audio signals in pink are two-channel, left and right because this is for binaural hearing aids.)\\n\\n![schematic](/img/clarity_schematic_for_blog-09.png)\\n\\nFigure 1\\n\\nNext the improved speech in noise is passed to the Prediction Model in the lime green box, and this gives an estimation of the Speech Intelligibility (SI). Our baseline system will include algorithms for this. We\u2019ve already blogged about the Hearing Loss Simulation. Our current thinking is that the intelligibility model will be using a binaural form of the Short-Time Objective Intelligibility Index (STOI) [1]. The dashed line going back to the enhancement model shows that the DNN will be updated based on the reciprocal of the Speech Intelligibility (SI) score. By minimising (1/SI), the enhancement model will be maximising intelligibility.\\n\\n{/*truncate*/}\\n\\nThe difficulty here is that updating the Enhancement Model DNN during training requires the error to be known at the DNN\u2019s output (the point labelled \u201cimproved SPIN\u201d). But we don\u2019t know this, we only know the error on the output of the prediction model at the far right of the diagram. This wouldn\u2019t be a problem if the prediction model could be inverted, because we could then run the 1/SI error backwards through the inverse model.\\n\\nAs the inverse of the prediction model isn\u2019t available, one solution is to train another DNN to mimic its behaviour (Figure 2). As this new Prediction Model is a DNN, the 1/SI error can be passed backwards through it using standard neural network training formulations.\\n\\n![schematic](/img/clarity_schematic_for_blog-10.png)\\n\\nThis DNN prediction model could be trained first using knowledge distillation ([this is something I\u2019ve previous done for a speech intelligibility model](http://usir.salford.ac.uk/id/eprint/56234/)), and then the weights frozen while the Enhancement Model is trained. But there is a \u2018chicken and egg\u2019 problem here. The difficulty is generating all the training data for the prediction model. Until you train the enhancement model, you won\u2019t have a representative examples of \u201cimproved SPIN\u201d to train the prediction model. But without the prediction model, you can\u2019t train the enhancement model.\\n\\nOne solution is to train the two DNNs in tandem, with an approach analogous to how pairs of networks are trained in a [Generative Adversarial Network](https://en.wikipedia.org/wiki/Generative_adversarial_network) (GAN). iMetricGan developed by Li et al. [2] is an example of this being done for speech enhancement, although the authors weren\u2019t trying to include hearing loss simulation. They aren\u2019t the only ones looking at trying to solve problems where a non-differentiable or black-box evaluation function is in the way of DNN training [3][4].\\n\\nWe hope our entrants will come up with lots of other ways of overcoming this problem. How would you tackle it?\\n\\n## References\\n\\n- [1] Andersen, A.H., Haan, J.M.D., Tan, Z.H. and Jensen, J., 2015. A binaural short time objective intelligibility measure for noisy and enhanced speech. In the *Sixteenth Annual Conference of the International Speech Communication Association*.\\n- [2] Li, H., Fu, S.W., Tsao, Y. and Yamagishi, J., 2020. iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. *arXiv preprint arXiv:2004.00932*.\\n- [3] Gillhofer, M., Ramsauer, H., Brandstetter, J., Sch\xe4fl, B. and Hochreiter, S., 2019. A GAN based solver of black-box inverse problems. Proceedings of the *NeurIPS 2019 Workshop*.\\n- [4] Kawanaka, M., Koizumi, Y., Miyazaki, R. and Yatabe, K., 2020, May. Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function. In ICASSP 2020-2020 *IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)* (pp. 7524-7528). IEEE."},{"id":"The speech-in-noise problem part two","metadata":{"permalink":"/blog/The speech-in-noise problem part two","source":"@site/blog/2020-07-06-the-speech-in-noise-problem-part-2.mdx","title":"The speech-in-noise problem part two","description":"How hearing aids address the problem of speech-in-noise in noisy and quieter places. We\u2019ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids.","date":"2020-07-06T00:00:00.000Z","formattedDate":"July 6, 2020","tags":[{"label":"machine learning","permalink":"/blog/tags/machine-learning"},{"label":"speech-in-noise","permalink":"/blog/tags/speech-in-noise"}],"readingTime":4.24,"hasTruncateMarker":true,"authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"The speech-in-noise problem part two","title":"The speech-in-noise problem part two","authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["machine learning","speech-in-noise"]},"unlisted":false,"prevItem":{"title":"One approach to our enhancement challenge","permalink":"/blog/One approach to our enhancement challenge"},"nextItem":{"title":"Hearing loss simulation","permalink":"/blog/Hearing loss simulation"}},"content":"How hearing aids address the problem of speech-in-noise in noisy and quieter places. We\u2019ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids.\\n\\n![Tablet user](/img/UoN_HS-08207-1536x1024.jpeg)\\n\\nIn a previous blog, we set out the problem of using hearing aids to pick out speech in noisy places. When the [signal-to-noise ratio (SNR)](https://en.wikipedia.org/wiki/Signal-to-noise_ratio) is low, hearing aids can only do so much to improve the intelligibility of the speech.\\n\\nA solitary hearing aid has various ways of addressing everyday constant noises such as cars, vacuum cleaners and fans. The aids work best when the noise is not too intrusive and SNR is relatively high. Problems arise when the noise is high (low SNRs), because then the hearing aid processing can distort the sound too much. While the hearing aid might have limited success in improving intelligibility in certain cases, they can still make the noise less annoying (e.g., Brons et al., 2014).\\n\\nUsing multiple microphones on each hearing aid can help in noisy conditions. The sound from the microphones is combined in a way that boosts the speech relative to the noise. This technology can be put into larger hearing aids, when there is enough spacing between the front and rear microphones.\\n\\nOne of the reasons why our brains are really good at picking out speech from the hubbub of a restaurant, is that it compares and contrasts the sounds from both ears. Our hearing is [binaural](https://en.wikipedia.org/wiki/Binaural). Similarly, if you have a hearing aids in both ears, they work better if they collaborate on reducing the noise.\\n\\nCrucial to how our brains locate sound and pick out speech in noise are timing and level cues that come from comparing the sound at both ears. When sound comes from the side:\\n\\n- interaural time differences occur because the sound arrives at one ear earlier than the other.\\n- interaural level differences occur because the sound has to bend around the head to reach the furthest ear.\\n\\nBinaural hearing aids communicate wirelessly and use noise reduction strategies that preserve these interaural time and level difference cues (e.g., Van den Bogaert et al., 2009). This allows the listener\u2019s brain to better locate the speech and boost this compared to the noise.\\n\\n{/*truncate*/}\\n\\n## Machine learning\\n\\nIn recent years, there has been increasing interest in what [machine learning](https://en.wikipedia.org/wiki/Machine_learning) methods can do for hearing aids. Machine learning is a branch of artificial intelligence where computers learn directly from example data. One machine learning method is the neural network. This is an algorithm formed from layers of simple computational units connected to each other in a way that is inspired by connections between neurons in the brain. Deep (3+ layer) neural networks are able to learn complex, non-linear mapping functions, which makes them ideal candidates for noise reduction tasks.\\n\\nWe anticipate that machine learning can help tackle the challenge of speech in noise for hearing aids, providing a tailored solution for each individual and listening situation. For example, one thing machine learning could do is to sense the acoustic environment the listener is in, and choose the most suitable processing settings.\\n\\n![Electronic brain](/img/neural_brain.jpeg)\\n\\nImage via [www.vpnsrus.com](https://www.vpnsrus.com)\\n\\nIn recent years, a machine learning approach for noise reduction has become popular. Neural networks are used to estimate time-frequency masks (a set of gains for each time-frequency unit that, when multiplied by the signal, produce less noisy speech; see, e.g., Zhao et al., 2018).\\n\\nMachine learning systems for noise reduction are trained on artificially mixed speech and noise. Some operate on a single channel, i.e., using spectral cues, and some work with multiple channels using spatial cues. We expect that future hearing aids built on machine learning will perform best if they combine the left and right microphones to work binaurally.\\n\\nMost of these noise reduction systems have been designed and evaluated in an off-line mode where they process pre-recorded signals. This isn\u2019t much use for hearing aids that need to work in real-time with low latency (i.e., short delays). One challenge for hearing aids is to redesign off-line approaches to work quickly enough without too much loss of performance.\\n\\nThe potential for machine learning to produce better approaches to hearing aid processing is what motivated the Clarity Project. If you\u2019re interested in hearing more as the challenges develop, please sign up.\\n\\n## References\\n\\n- Brons, I., Houben, R., and Dreschler, W. A. (2014). Effects of noise reduction on speech intelligibility, perceived listening effort, and personal preference in hearing-impaired listeners. *Trends in hearing*, 18, 1-10.\\n- Van den Bogaert, T., Doclo, S., Wouters, J., and Moonen, M. (2009). Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing aids. *The Journal of the Acoustical Society of America*, 125(1), 360-371.\\n- Zhao, Y., Wang, D., Johnson, E. M., and Healy, E. W. (2018). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. *The Journal of the Acoustical Society of America*, 144(3), 1627-1637.\\n\\n## Credits\\n\\nPhotograph of hearing aid wearer, copyright University of Nottingham.\\n\\nImage of brain with overlaid circuity made available by [www.vpnsrus.com](https://www.vpnsrus.com)."},{"id":"Hearing loss simulation","metadata":{"permalink":"/blog/Hearing loss simulation","source":"@site/blog/2020-06-23-hearing-loss-simulation.mdx","title":"Hearing loss simulation","description":"What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss.","date":"2020-06-23T00:00:00.000Z","formattedDate":"June 23, 2020","tags":[{"label":"baseline","permalink":"/blog/tags/baseline"},{"label":"hearing loss simulation","permalink":"/blog/tags/hearing-loss-simulation"}],"readingTime":3.75,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"},{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"}],"frontMatter":{"slug":"Hearing loss simulation","title":"Hearing loss simulation","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"},{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"}],"tags":["baseline","hearing loss simulation"]},"unlisted":false,"prevItem":{"title":"The speech-in-noise problem part two","permalink":"/blog/The speech-in-noise problem part two"},"nextItem":{"title":"Sounds for round one","permalink":"/blog/Sounds"}},"content":"What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss.\\n\\nOur challenge entrants are going to use machine learning to develop better processing of speech in noise (SPIN) for hearing aids. For a machine learning algorithm to learn new ways of processing audio for the hearing impaired, it needs to estimate how the sound will be degraded by any hearing loss. Hence, we need an algorithm to simulate hearing loss for each of our listeners. The diagram belows shows our draft baseline system that was detailed in a previous blog. The hearing loss simulation is part of the prediction model. The Enhancement Model to the left is effectively the hearing aid and the Prediction Model to the right is estimating how someone will perceive the intelligibility of the speech in noise.\\n\\n![baseline](/img/baseline-1536x684.png)\\n\\nThe draft baseline system (where SPIN is speech in noise, DRC is Dynamic Range Compression, HL is Hearing Loss, SI is Speech Intelligibility and L & R are Left and Right).\\n\\nThere are different causes of hearing loss, but we\u2019re concentrating on the most common type that happens when you age ([presbycusis](https://www.nhs.uk/conditions/hearing-loss/)). [RNID](https://rnid.org.uk/) (formerly Action on Hearing Loss) estimate that more than 40% of people over the age of 50 have a hearing loss, and this rises to 70% of people who are older than 70.\\n\\nThe aspects of hearing loss we\u2019ve decided to simulate are\\n\\n1. The loss of ability to sense the quietest sounds (increase in absolute threshold).\\n2. How as an audible sound increases in level, the perceived increase in loudness is greater than normal (loudness recruitment) (Moore et al. 1996).\\n3. How the ear has a poorer ability to discriminate the frequency of sounds (impaired frequency selectivity).\\n\\n{/*truncate*/}\\n\\n## Audio examples of hearing loss\\n\\nHere are two samples of speech in noise processed through the simulator. In each audio example there are three versions of the same sentence:\\n\\n1. Unimpaired hearing\\n2. Mild hearing impairment\\n3. Moderate to severe hearing impairment\\n\\n0 dB signal to noise ratio\\n\\n<audio controls>\\n<source src=\\"/audio/spin_example.wav\\" type=\\"audio/wav\\" />\\nYour browser does not support the audio element.\\n</audio>\\n\\nAnd here is an example where the noise is louder:\\n\\n<audio controls>\\n<source src=\\"/audio/spin_example-10SNR.wav\\" type=\\"audio/wav\\" />\\nYour browser does not support the audio element.\\n</audio>\\n\\nNoisier: -10dB signal to noise ratio\\n\\n## Acknowledgements\\n\\nThe hearing loss model we\u2019re using was generously supplied by [Michael Stone at the University of Manchester](https://www.research.manchester.ac.uk/portal/michael.stone.html) as MATLAB code and translated by us into Python. The original code was written by members of the Auditory Perception Group at the University of Cambridge, ca. 1991-2013, including Michael Stone, Brian Moore, Brian Glasberg and Thomas Baer. Information about the model can be found primarily in Nejime and Moore (1997), but also in Nejime and Moore (1998), Baer and Moore (1993 and 1994), and Moore and Glasberg (1993).\\n\\nThe original speech recordings come from the ARU corpus, University of Liverpool (Hopkins et al. 2019). This corpus is freely available at the link in the reference below.\\n\\n## References\\n\\n- Baer, T., & Moore, B. C. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. *The Journal of the Acoustical Society of America*, 94(3), 1229-1241.\\n- Baer, T., & Moore, B. C. (1994). Effects of spectral smearing on the intelligibility of sentences in the presence of interfering speech. *The Journal of the Acoustical Society of America*, 95(4), 2277-2280.\\n- Hopkins, C., Graetzer, S., & Seiffert, G. (2019). ARU adult British English speaker corpus of IEEE sentences (ARU speech corpus) version 1.0 [data collection]. Acoustics Research Unit, School of Architecture, University of Liverpool, United Kingdom. DOI: 10.17638/datacat.liverpool.ac.uk/681. Retrieved from [http://datacat.liverpool.ac.uk/681/](http://datacat.liverpool.ac.uk/681/).\\n- Moore, B. C., & Glasberg, B. R. (1993). Simulation of the effects of loudness recruitment and threshold elevation on the intelligibility of speech in quiet and in a background of speech. *The Journal of the Acoustical Society of America*, 94(4), 2050-2062.\\n- Moore, B. C., Glasberg, B. R., & Vickers, D. A. (1996). Factors influencing loudness perception in people with cochlear hearing loss. B. Kollmeier, *World Scientific*, Singapore, 7-18.\\n- Nejime, Y., & Moore, B. C. (1997). Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. *The Journal of the Acoustical Society of America*, 102(1), 603-615.\\n- Nejime, Y., & Moore, B. C. (1998). Evaluation of the effect of speech-rate slowing on speech intelligibility in noise using a simulation of cochlear hearing loss. *The Journal of the Acoustical Society of America*, 103(1), 572-576."},{"id":"Sounds","metadata":{"permalink":"/blog/Sounds","source":"@site/blog/2020-06-18-sounds-for-round-one.mdx","title":"Sounds for round one","description":"We\u2019ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.","date":"2020-06-18T00:00:00.000Z","formattedDate":"June 18, 2020","tags":[{"label":"CEC1","permalink":"/blog/tags/cec-1"},{"label":"focus group","permalink":"/blog/tags/focus-group"},{"label":"noise","permalink":"/blog/tags/noise"},{"label":"sounds","permalink":"/blog/tags/sounds"}],"readingTime":3.425,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Sounds","title":"Sounds for round one","author":"Trevor Cox","author_title":"Clarity Team Member","author_url":"http://trevorcox.me/trevor-cox","author_image_url":"https://avatars.githubusercontent.com/trevorjcox","tags":["CEC1","focus group","noise","sounds"]},"unlisted":false,"prevItem":{"title":"Hearing loss simulation","permalink":"/blog/Hearing loss simulation"},"nextItem":{"title":"The speech-in-noise problem","permalink":"/blog/The speech-in-noise problem"}},"content":"We\u2019ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.\\n\\nWe wanted to know about\\n\\n- Everyday background noises that make having a conversation difficult.\\n- The characteristics of speech after it has been processed by a hearing-aid that hearing aid listeners would value.\\n\\nA total of eight patients (four males, four females) attended the meeting, six of whom were recruited from the [Nottingham Biomedical Research Centre\u2019s](https://nottinghambrc.nihr.ac.uk/) patient and public involvement contact list. Two attendees were recruited from a local lip reading class organised by the [Nottinghamshire Deaf Society](https://www.nottsdeaf.org.uk/). The range of hearing loss within the group is from mild to severe. They all regularly use bilateral hearing aids.\\n\\nOur focus was on the living room because that is the scenario for round one of the challenges.\\n\\n![People Listening](/img/photo-of-people-sitting-on-sofa-3890171.jpeg)\\n\\nPhoto by Gustavo Fring from Pexels\\n\\n{/*truncate*/}\\n\\n## Everyday background noises that interfere with understanding of speech\\n\\nA long and varied list of sounds cause problems. These lists are in no particular order.\\n\\n- Living room or space\\n- Clocks ticking\\n- Crisp packets rustling\\n- Taps running\\n- Kettles boiling\\n- Dishwasher\\n- Microwave\\n- Washing machine\\n- TV, music, radio\\n- Phone ringing (or receiving texts \u2013 unknown beeps/tones)\\n- Newspapers rustling\\n- Air-conditioning and oven extractor fans\\n- Vacuum cleaner\\n- Doorbell ringing\\n- Dog barking\\n- Rain on window\\n\\n## Family and friends\\n\\n- Cutlery/crockery banging/clanging\\n- Doors opening/closing (to rooms and cupboards)\\n- Music\\n- People walking around the room\\n- Children playing with toys\\n- Laughing\\n- People talking from another room\\n- Speakers from a different conversation in close proximity (i.e. beside you) when you are trying to converse\\n- Traffic outside\\n- Chewing/chomping\\n- Steam pipes/ coffee machines\\n- Chairs being moved\\n\\n## Outside\\n\\n- Church bells\\n- Market noise\\n- Footsteps on different types of ground, i.e. heels on hard floors but also wellingtons in mud\\n- Clothes rustling (such as waterproof coats or hat on hearing aid)\\n- Wind (even with HA on \u2018wind setting\u2019)\\n- Pigeons/birds\\n- Sirens\\n- Traffic noise (especially at junctions)\\n- Music\\n- Laughter\\n- Phones ringing\\n- Tills\\n- Children playing outside or running around (in shops, on the street and at parks)\\n- Beeping signal at crossings\\n- Garden centres \u2013 high glass ceilings, open plan, trolleys\\n- Road/ tyre and traffic noise when in a car or on the bus\\n- Also mentioned how people you speak to in the car may be in front or behind you\\n- Trains and the tube\\n- Aeroplanes and airports (suitcases rolling)\\n- Tannoys\\n\\n## Characteristics of processed speech to consider\\n\\n- Clarity (clearness) or quality\\n- Rhythm of speech\\n- \u2018Inflection\u2019 (intonation)\\n- Similarity to original speaker\\n- Agreed that in situations where the voice would not be processed clearly, i.e. outside with many noise sources, not sounding like the original - speaker is fine.\\n\\n## Other comments\\n\\n- Speed of speech; it was suggested that we have sentences read at different speeds as faster talkers are often harder to understand.\\n- Stated that emphasis on key words is useful for following conversation; perhaps key words in the sentence when marked should be given higher value.\\n- Lots of comments on room acoustics, i.e., ceiling heights, furnishings, floorings, windows etc., which has a big impact on how difficult it is to have a conversation with background noise.\\n- Different accents of talkers can make conversation more difficult; including speakers with different accents in the background.\\n- We\u2019re now working out what sounds to use. But are there other sounds we should consider?\\n\\n## Credits\\n\\n- Thank you to the patient and public involvement representatives who participated.\\n- Clarity Organiser: Eszter Porter .\\n- Facilitators: Adele Horobin, Erin Dawe-Lane.\\n- This discussion group was supported by the [National Institute for Health Research Nottingham Biomedical Research Centre](https://nottinghambrc.nihr.ac.uk/).\\n![NIHR logo](/img/nihr-nbrc.png)"},{"id":"The speech-in-noise problem","metadata":{"permalink":"/blog/The speech-in-noise problem","source":"@site/blog/2020-06-18-the-speech-in-noise-problem.mdx","title":"The speech-in-noise problem","description":"People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.","date":"2020-06-18T00:00:00.000Z","formattedDate":"June 18, 2020","tags":[{"label":"cocktail party","permalink":"/blog/tags/cocktail-party"},{"label":"hearing","permalink":"/blog/tags/hearing"},{"label":"hearing aid","permalink":"/blog/tags/hearing-aid"},{"label":"noise","permalink":"/blog/tags/noise"},{"label":"speech","permalink":"/blog/tags/speech"}],"readingTime":3.725,"hasTruncateMarker":true,"authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"The speech-in-noise problem","title":"The speech-in-noise problem","authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"image":"https://i.imgur.com/mErPwqL.png","tags":["cocktail party","hearing","hearing aid","noise","speech"]},"unlisted":false,"prevItem":{"title":"Sounds for round one","permalink":"/blog/Sounds"},"nextItem":{"title":"Why use machine learning challenges for hearing aids?","permalink":"/blog/Why use machine learning challenges for hearing aids"}},"content":"People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.\\n\\n![cocktail party](/img/cocktail_party.jpeg)\\n\\nIt\u2019s common for us to hear sounds coming simultaneously from different sources. Our brains then need to separate out what we want to hear (the target speaker) from the other sounds. This is especially difficult when the competing sounds are speech. This has the quaint name, The Cocktail Party Problem (Cherry, 1953). We don\u2019t go to many cocktail parties, but we encounter lots of times where the The Cocktail Party Problem is important. Hearing a conversation in a busy restaurant, trying to understand a loved one while the television is on or hearing the radio in the kitchen when the kettle is boiling, are just a few examples.\\n\\nDifficulty in picking out speech in noise is really common if you have a hearing loss. Indeed, it\u2019s often when people have problems doing this that they realise they have a hearing loss.\\n\\n```\\n\u201cHearing aids don\u2019t work when there is a lot of background noise. This is when you need them to work.\u201d\\n\\n-- Statement from a hearing aid wearer (Kochkin, 2000)\\n```\\n\\nHearing aids are the the most common form of treatment for hearing loss. However, surveys indicate that at least 40% of hearing aids are never or rarely used (Knudsen et al., 2010). A major reason for this is dissatisfaction with performance. Even the best hearing aids perform poorly for speech in noise. This is particularly the case when there are many people talking at the same time, and when the amount of noise is relatively high (i.e., the signal-to-noise ratio (SNR) is low). As hearing ability worsen with age, the ability to understand speech in background noise also reduces (e.g., Akeroyd, 2008).\\n\\n{/*truncate*/}\\n\\nWhen an audiologist assesses hearing loss, one thing they measure is the pure tone audiogram. This assesses the quietest sound someone can hear over a range of frequencies. However, an audiogram only partly explains your experience with speech in background noise (Heinrich et al. 2015), because it only measures the quietest sound you can hear. For example, picking out speech from noise is a complex task for the brain to perform, and this cognitive ability isn\u2019t assessed by an audiogram. In addition, there are other factors that are important such as personality, motivation, attitude toward hearing aids and prior hearing aid experience.\\n\\n![Audiogram](/img/audiogram.jpg)\\n\\nAn audiogram displaying a \u201cski slope\u201d pattern that is a sign of age-related hearing loss (source: Ronan and Barrett, BMJ, 2014).\\nSpeech-in-noise tests get closer to the real-life problem a hearing aid is trying to solve. Listeners listen to speech in the presence of noise and write down what words they hear. More words correct show an increase in the ability to understand speech in specific noisy situations when listeners are wearing their hearing aid (aided) relative to when they are not (unaided). Of course, listening conditions in the clinic differ from real-life conditions.\\n\\nCurrently, while speech-in-noise test scores can be useful when fine-tuning a hearing aid, even then many users are disappointed about the performance of their hearing aids. Through our challenges, we hope to improve this situation, whether you go to cocktail parties or not.\\n\\nWhat\u2019s your experience with speech in noise? Please comment below.\\n\\n## References\\n\\n- Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. *International Journal of Audiology*, 47(sup2), S53-S71.\\n- Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. *The Journal of the Acoustical Society of America*, 25(5), 975-979.\\n- Heinrich, A., Henshaw, H., and Ferguson, M. A. (2015). The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech perception tests. *Frontiers in Psychology*, 6, 782.\\n- Vestergaard Knudsen, L., \xd6berg, M., Nielsen, C., Naylor, G., and Kramer, S. E. (2010). Factors influencing help seeking, hearing aid uptake, hearing aid use and satisfaction with hearing aids: A review of the literature. *Trends in Amplification*, 14(3), 127-154.\\n- Kochkin, S. (2000). MarkeTrak V: \u201cWhy my hearing aids are in the drawer\u201d The consumers\u2019 perspective. *The Hearing Journal*, 53(2), 34-36.\\n\\n## Credits\\n\\n- Photo of Cocktail party by Ross CC BY-NC-SA 2.0\\n- Ronan, N., & Barrett, G. (2014). A 68 year old woman with deteriorating hearing. BMJ, 348, g2984. [https://www.bmj.com/content/348/bmj.g2984](https://www.bmj.com/content/348/bmj.g2984)"},{"id":"Why use machine learning challenges for hearing aids","metadata":{"permalink":"/blog/Why use machine learning challenges for hearing aids","source":"@site/blog/2020-05-06-why-use-machine-learning-challenges.mdx","title":"Why use machine learning challenges for hearing aids?","description":"The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:","date":"2020-05-06T00:00:00.000Z","formattedDate":"May 6, 2020","tags":[{"label":"challenges","permalink":"/blog/tags/challenges"},{"label":"CHiME","permalink":"/blog/tags/c-hi-me"},{"label":"enhancement","permalink":"/blog/tags/enhancement"},{"label":"machine learning","permalink":"/blog/tags/machine-learning"},{"label":"prediction","permalink":"/blog/tags/prediction"}],"readingTime":2.21,"hasTruncateMarker":false,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Why use machine learning challenges for hearing aids","title":"Why use machine learning challenges for hearing aids?","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["challenges","CHiME","enhancement","machine learning","prediction"]},"unlisted":false,"prevItem":{"title":"The speech-in-noise problem","permalink":"/blog/The speech-in-noise problem"},"nextItem":{"title":"The baseline","permalink":"/blog/The baseline"}},"content":"The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:\\n\\n- Machine learning (ML) at scale \u2013 big data and raw [GPU](https://en.wikipedia.org/wiki/Graphics_processing_unit) power.\\n- Benchmarking \u2013 research has developed around community-organised evaluations or challenges.\\n- Collaboration has been enabled by these challenges, allowing working across communities such as signal processing, acoustic modelling, language modelling and machine learning\\n\\nWe\u2019re hoping that these three mechanisms can drive improvements in hearing aids.\\n\\n## Components of a challenge\\n\\nThere needs to be a common task based on a target application scenario to allow communities to gain from benchmarking and collaboration. Clarity project\u2019s first enhancement challenge will be about hearing speech from a single talker in a typical living room, where there is one source of noise and a little reverberation.\\n\\nWe\u2019re currently working on developing simulation tools to allow us to generate our living room data. The room acoustic will be simulated using [RAVEN](https://www.semanticscholar.org/paper/RAVEN%3A-A-real-time-framework-for-the-auralization-Schr%C3%B6der-Vorl%C3%A4nder/6977f2c2c1fb4cac2305e7965ee0da8192ced72d?p2df) and [the Hearing Device Head-related Transfer Functions will come from Denk\u2019s work](https://uol.de/mediphysik/downloads/hearingdevicehrtfs). We\u2019re working on getting better, more ecologically valid speech than is often used in speech intelligibility work.\\n\\n![baseline](/img/baseline-1536x684.png)\\n\\nEntrants are then given training data and development (dev) test data along with a baseline system that represents the current state-of-the-art. You can find a post and video on the current thinking on the baseline here. We\u2019re still working on the rules stipulating what is and what is not allowed (for example, will entrants be allowed to use data from outside the challenge).\\n\\nClarity\u2019s first enhancement challenge is focussed on maximising the speech intelligibility (SI) score. We will evaluate this first through a prediciton model that is based on a hearing loss simulation and an objective metric for speech intellibility. Simulation has been hugely important for generating training data in the [CHIME challenges](https://chimechallenge.github.io/chime6/) and so we intend to use that approach in Clarity. But results from simulated test sets cannot be trusted and hence a second evaluation will come through perceptual tests on hearing impaired subjects. However, one of our current problems is that we can\u2019t bring listeners into our labs because of COVID-19.\\n\\nWe\u2019ll actually be running two challenges in roughly parallel, because we\u2019re also going to task the community to improve our prediction model for speech intelligibility.\\n\\nWe\u2019re running a series of challenges over five years. What other scenarios should we consider? What speech? What noise? What environment? Please comment below.\\n\\n## Acknowledgements\\n\\nMuch of this text is based on [Jon Barker\u2019s 2020 SPIN keynote](http://2020.speech-in-noise.eu/?p=3)"},{"id":"The baseline","metadata":{"permalink":"/blog/The baseline","source":"@site/blog/2020-04-29-the-baseline.mdx","title":"The baseline","description":"An overview of the current state of the baseline we\u2019re developing for the machine learning challenges","date":"2020-04-29T00:00:00.000Z","formattedDate":"April 29, 2020","tags":[{"label":"baseline","permalink":"/blog/tags/baseline"},{"label":"enhancement","permalink":"/blog/tags/enhancement"},{"label":"processing","permalink":"/blog/tags/processing"}],"readingTime":0.78,"hasTruncateMarker":false,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"The baseline","title":"The baseline","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["baseline","enhancement","processing"]},"unlisted":false,"prevItem":{"title":"Why use machine learning challenges for hearing aids?","permalink":"/blog/Why use machine learning challenges for hearing aids"},"nextItem":{"title":"Welcome","permalink":"/blog/welcome"}},"content":"An overview of the current state of the baseline we\u2019re developing for the machine learning challenges\\n\\n![The baseline](/img/baseline-1536x684.png)\\n\\nWe\u2019re currently developing the baseline processing that challenge entrants will need. This takes a random listener and a random audio sample of speech in noise (SPIN) and passes that through a simulated hearing aid (the Enhancement Model). This improves the speech in noise. We then have an algorithm (the Prediction Model) to estimate the Speech Intelligibility that the listener would perceive (SI score). This score can then be used to drive machine learning to improve the hearing aid.\\n\\n<iframe width=\\"560\\" height=\\"315\\" src=\\"https://www.youtube.com/embed/I1v8_TmXkeA\\" title=\\"YouTube video player\\" frameborder=\\"0\\" allow=\\"accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture\\" allowfullscreen></iframe>\\n\\n*A talk through the baseline model we\u2019re developing.*\\n\\nThe first machine learning challenge is to improve the enhancement model, in other words, to produce a better processing algorithm for the hearing aid. The second challenge is to improve the prediction model using perceptual data we\u2019ll provide."},{"id":"welcome","metadata":{"permalink":"/blog/welcome","source":"@site/blog/2020-04-28-welcome.mdx","title":"Welcome","description":"Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems.","date":"2020-04-28T00:00:00.000Z","formattedDate":"April 28, 2020","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"hello","permalink":"/blog/tags/hello"},{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":0.19,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"welcome","title":"Welcome","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","hello","CEC1"]},"unlisted":false,"prevItem":{"title":"The baseline","permalink":"/blog/The baseline"}},"content":"Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems."}]}')}}]); \ No newline at end of file +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6880],{38256:e=>{e.exports=JSON.parse('{"blogPosts":[{"id":"CPC2 eval data released","metadata":{"permalink":"/blog/CPC2 eval data released","source":"@site/blog/2023-07-03-CPC2-eval-data-release.mdx","title":"CPC2 eval data released","description":"The CPC2 evaluation data has now been released.","date":"2023-07-03T00:00:00.000Z","formattedDate":"July 3, 2023","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CPC2","permalink":"/blog/tags/cpc-2"}],"readingTime":0.62,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CPC2 eval data released","title":"CPC2 eval data released","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","announcement","CPC2"]},"unlisted":false,"nextItem":{"title":"Clarity-2023 Workshop @ Interspeech, Dublin","permalink":"/blog/Clarity-2023 Workshop @ Interspeech, Dublin"}},"content":"The CPC2 evaluation data has now been released.\\n\\nThe data is available for download as a single 478 MB file, [clarity_CPC2_data.test.v1_0.tgz](https://mab.to/138typ3cpVBmK). The evaluation data should be untarred into the same root as the training data. Further details can be found on the [challenge website](https://claritychallenge.org/docs/cpc2/cpc2_intro).\\n\\nThe data consists of the hearing aid algorithm output signals, clean reference signals, listener audiograms, and head rotation information. Listener responses are not provided for the evaluation data but will be made available after the submission window has closed.\\n\\nFor details on how to prepare your submission [please see the instructions on the website](https://claritychallenge.org/docs/cpc2/taking_part/cpc2_submission).\\n\\nIf you have any questions please feel free to post them on this forum.\\n\\nThe submission window will close on the 31st of July.\\n\\nGood luck!"},{"id":"Clarity-2023 Workshop @ Interspeech, Dublin","metadata":{"permalink":"/blog/Clarity-2023 Workshop @ Interspeech, Dublin","source":"@site/blog/2023-06-21-clarity-2023-workshop.mdx","title":"Clarity-2023 Workshop @ Interspeech, Dublin","description":"We are pleased to announce the 4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023).","date":"2023-06-21T00:00:00.000Z","formattedDate":"June 21, 2023","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CPC2","permalink":"/blog/tags/cpc-2"}],"readingTime":2.52,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"Clarity-2023 Workshop @ Interspeech, Dublin","title":"Clarity-2023 Workshop @ Interspeech, Dublin","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","announcement","CPC2"]},"unlisted":false,"prevItem":{"title":"CPC2 eval data released","permalink":"/blog/CPC2 eval data released"},"nextItem":{"title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","permalink":"/blog/Announcing CPC2"}},"content":"We are pleased to announce the **4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023)**.\\n\\nThe event will be a one-day workshop held as an ISCA satellite event to Interspeech 2023 in Dublin, Ireland.\\n\\nFor registration and programme details please visit the workshop website\\n\\n[https://claritychallenge.github.io/clarity2023-workshop/](https://claritychallenge.github.io/clarity2023-workshop/\\n)\\n\\n**IMPORTANT DATES**\\n\\n- 2nd June 2023 - Workshop Submission Deadline (Regular Papers)\\n- 31st July 2023 - Workshop Submission Deadline (Clarity Challenge Papers)\\n- 5th August 2023 - Registration closes\\n- 19th August - Workshop / Clarity Challenge results announced\\n\\n**About**\\n\\nOne of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. The inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss.\\n\\nThe Clarity workshops are designed to stimulate a two-way conversation between the speech research community and hearing aid developers. Hearing aid developers, who are not typically represented at Interspeech, will have an opportunity to present the challenges of their industry to the speech community; the speech community will be able to present and discuss potentially transformative approaches to speech in noise processing in the presence of hearing researchers and industry experts.\\n\\n**Topics**\\n\\nAny work related to the challenges of hearing aid signal processing will be considered relevant topics include,\\n\\n- Binaural technology for speech enhancement and source separation\\n- Multi-microphone processing technology\\n- Real-time approaches to speech enhancement\\n- Statistical model-driven approaches to hearing aid processing\\n- Audio quality & intelligibility assessment hearing aid and cochlear implant users\\n- Efficient and effective integration of psychoacoustic testing in machine learning\\n- Machine learning for diverse target listeners\\n- Machine learning models of hearing impairment\\n\\n**The 2nd Clarity Prediction Challenge**\\n\\nThe Clarity-2023 will also host the 2nd Clarity Prediction Challenge, that is addressing the problem of developing new intrusive and non-intrusive approaches to hearing-aid speech intelligibility prediction. The Challenge will be launching on 1st March, is you may be interested in participating please sign up to our Google group for further announcements.\\n\\n**Keynote Talks**\\n\\n- Prof Fei Chen, SUSTech, China,\\n- Prof DeLiang Wang, Ohio State University, US\\n\\n**Organisers**\\n\\n- Michael Akeroyd, University of Nottingham\\n- Jon Barker, University of Sheffield\\n- Trevor Cox, University of Salford\\n- Fei Chen, Southern University of Science and Technology, China\\n- John Culling, University of Cardiff\\n- Simone Graetzer, University of Salford\\n- Andrew Hines, University College Dublin\\n\\n**For further information**\\n\\nTo be kept up to date please join our [Clarity Challenge Google group](https://groups.google.com/g/clarity-challenge). If you have questions, please contact us directly using the [contact details found here](https://claritychallenge.org/contact).\\n\\n**Funded by** the Engineering and Physical Sciences Research Council (EPSRC), UK\\n\\n**Supported by** RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research"},{"id":"Announcing CPC2","metadata":{"permalink":"/blog/Announcing CPC2","source":"@site/blog/2023-03-17-announcing-CPC2.mdx","title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","description":"The 2nd Clarity Prediction Challenge - Register Now","date":"2023-03-17T00:00:00.000Z","formattedDate":"March 17, 2023","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CPC2","permalink":"/blog/tags/cpc-2"}],"readingTime":1.72,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","image_url":"https://avatars.githubusercontent.com/jonbarker68","imageURL":"https://avatars.githubusercontent.com/jonbarker68"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Announcing CPC2","title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","image_url":"https://avatars.githubusercontent.com/jonbarker68","imageURL":"https://avatars.githubusercontent.com/jonbarker68"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["clarity","announcement","CPC2"]},"unlisted":false,"prevItem":{"title":"Clarity-2023 Workshop @ Interspeech, Dublin","permalink":"/blog/Clarity-2023 Workshop @ Interspeech, Dublin"},"nextItem":{"title":"ICASSP 2023 evaluation data released","permalink":"/blog/ICASSP 2023 evaluation data released"}},"content":"The 2nd Clarity Prediction Challenge - [Register Now](https://claritychallenge.org/docs/cpc2/taking_part/cpc2_registration)\\n\\nTo allow the development of better hearing aids, we need ways to evaluate the speech intelligibility of audio signals automatically. We need a prediction model that takes the audio produced by a hearing aid and the listener\'s characteristics (e.g. audiogram) and estimates the speech intelligibility score that the listener would achieve in a listening test.\\n\\nLast year we ran the [CPC1 Challenge](https://claritychallenge.org/docs/cpc1/cpc1_intro) to develop such models. The challenge was presented at an online workshop and a special session of Interspeech 2022. We are now running the 2nd round of this challenge (CPC2), which builds on the first by using more complex signals and a larger set of listening test data for training and evaluating the prediction systems.\\n\\nThe outputs of the new challenge will be presented at an [ISCA workshop](https://claritychallenge.org/clarity2023-workshop/) that is being run as a satellite event to Interspeech 2023 in Dublin on 19th August 2023.\\n\\nFull details can be found on the Challenge Website.\\n\\n### Register now to take part\\n\\nIf you are interested in participating please register now via the [online registration form](https://claritychallenge.org/docs/cpc2/taking_part/cpc2_registration).\\n\\n### Important Dates\\n\\n- March - Launch of challenge, release of training data + baseline system.\\n- 1st July - Release of evaluation data and opening of submission window.\\n- 31st July - Submission deadline.\\n- 19th August - ISCA Clarity 2023 workshop @ Interspeech\\n- 19th September - Deadline for submission of finalised Workshop papers\\n\\n### What will be provided\\n\\n- Audio produced by a variety of (simulated) hearing aids for speech-in-noise;\\n- The corresponding clean reference signals (the original speech);\\n- Characteristics of the listeners (pure tone audiograms, etc);\\n- The measured speech intelligibility scores from listening tests, where hearing-impaired listeners were asked to say what they heard after listening to the hearing aid processed signals.\\n- Software tools including a baseline system based on HASPI scores.\\n\\n### For further information\\n\\nTo be kept up to date please join our [Clarity Challenge Google group](https://groups.google.com/g/clarity-challenge). If you have questions, please contact us directly using the contact details found [here](https://claritychallenge.org/contact)."},{"id":"ICASSP 2023 evaluation data released","metadata":{"permalink":"/blog/ICASSP 2023 evaluation data released","source":"@site/blog/2023-02-02-ICASSP-eval-data.mdx","title":"ICASSP 2023 evaluation data released","description":"We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download.","date":"2023-02-02T00:00:00.000Z","formattedDate":"February 2, 2023","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CEC2","permalink":"/blog/tags/cec-2"},{"label":"ICASSP2023","permalink":"/blog/tags/icassp-2023"}],"readingTime":0.8,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","image_url":"https://avatars.githubusercontent.com/jonbarker68","imageURL":"https://avatars.githubusercontent.com/jonbarker68"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"ICASSP 2023 evaluation data released","title":"ICASSP 2023 evaluation data released","authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","image_url":"https://avatars.githubusercontent.com/jonbarker68","imageURL":"https://avatars.githubusercontent.com/jonbarker68"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["clarity","announcement","CEC2","ICASSP2023"]},"unlisted":false,"prevItem":{"title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","permalink":"/blog/Announcing CPC2"},"nextItem":{"title":"Announcement of ICASSP 2023 Grand Challenge","permalink":"/blog/Announcement of ICASSP 2023 Grand Challenge"}},"content":"import useBaseUrl from \'@docusaurus/useBaseUrl\';\\n\\nWe are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download.\\n\\n[https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO](https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO)\\n\\nFor instructions on preparing your submission please visit:\\n\\n[https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_submission](https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_submission)\\n\\n**If you have not yet registered** it is not too late to do so. Please use the form at the link below and we will then send you a Team ID and a personalised upload link for your submission.\\n\\n[https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_registration](https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_registration)\\n\\nNote, we have extended the deadline for submission until Friday 10th February so that teams have a full week to process the signals.\\n\\nThe remaining schedule is as follows,\\n\\n- **2nd Feb 2023**: Release of evaluation data.\\n- **10th Feb 2023**: Teams submit processed signals and technical reports.\\n- **14th Feb 2023**: Results released. Top 5 ranked teams invited to submit papers to ICASSP-2023\\n- **20th Feb 2023**: Invited papers submitted to ICASSP-2023\\n- **4-9th June 2023**: Overview paper and invited papers presented at dedicated ICASSP session"},{"id":"Announcement of ICASSP 2023 Grand Challenge","metadata":{"permalink":"/blog/Announcement of ICASSP 2023 Grand Challenge","source":"@site/blog/2022-11-15-ICASSP-registration.mdx","title":"Announcement of ICASSP 2023 Grand Challenge","description":"We are pleased to announce that registration for the ICASSP 2023 Clarity Grand Challenge is now open.","date":"2022-11-15T00:00:00.000Z","formattedDate":"November 15, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"announcement","permalink":"/blog/tags/announcement"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.725,"hasTruncateMarker":false,"authors":[{"name":"Will Bailey","title":"Clarity Team Member","url":"https://www.sheffield.ac.uk/dcs/people/research-staff/will-bailey"}],"frontMatter":{"slug":"Announcement of ICASSP 2023 Grand Challenge","title":"Announcement of ICASSP 2023 Grand Challenge","author":"Will Bailey","author_title":"Clarity Team Member","author_url":"https://www.sheffield.ac.uk/dcs/people/research-staff/will-bailey","tags":["clarity","announcement","CEC2"]},"unlisted":false,"prevItem":{"title":"ICASSP 2023 evaluation data released","permalink":"/blog/ICASSP 2023 evaluation data released"},"nextItem":{"title":"CPC1 results and prizes","permalink":"/blog/CPC1 results and prizes"}},"content":"import useBaseUrl from \'@docusaurus/useBaseUrl\';\\n\\nWe are pleased to announce that registration for the **ICASSP 2023 Clarity Grand Challenge** is now open.\\n\\nTo register please complete the simple Google form found on the [registration page](/docs/icassp2023/taking_part/icassp2023_registration).\\n\\nThe remaining important dates for the challenge are as follows:\\n\\n- **28th Nov 2022**: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.\\n- **2nd Feb 2023**: Release of evaluation data.\\n- **10th Feb 2023**: Teams submit processed signals and technical reports.\\n- **14th Feb 2023**: Results released. Top 5 ranked teams invited to submit papers to ICASSP-2023\\n- **20th Feb 2023**: Invited papers submitted to ICASSP-2023\\n- **4-9th** June 2023: Overview paper and invited papers presented at dedicated ICASSP session\\n\\nThe challenge training, dev data and initial tools are now fully from the [Github repository](https://github.com/claritychallenge/clarity).\\n\\nIf you have any questions please do not hesitate to contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com)."},{"id":"CPC1 results and prizes","metadata":{"permalink":"/blog/CPC1 results and prizes","source":"@site/blog/2022-07-10-CPC1-results.mdx","title":"CPC1 results and prizes","description":"The 1st Clarity Prediction Challenge is now complete. Thank you to all who took part!","date":"2022-07-10T00:00:00.000Z","formattedDate":"July 10, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"registration","permalink":"/blog/tags/registration"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.625,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CPC1 results and prizes","title":"CPC1 results and prizes","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","registration","CEC2"]},"unlisted":false,"prevItem":{"title":"Announcement of ICASSP 2023 Grand Challenge","permalink":"/blog/Announcement of ICASSP 2023 Grand Challenge"},"nextItem":{"title":"CEC2 registration open","permalink":"/blog/CEC2 registration open"}},"content":"import useBaseUrl from \'@docusaurus/useBaseUrl\';\\n\\nThe 1st Clarity Prediction Challenge is now complete. Thank you to all who took part!\\n\\nThe full results can be found on the <a href=\\"https://claritychallenge.org/clarity2022-workshop/\\">Clarity-2022 workshop website</a> where you will also find links to system papers and the overview presentation.\\n\\nMany of the systems have led to successful Interspeech 2022 papers and will be contributing to the Interspeech 2022 special session on <a href=\\"https://claritychallenge.org/interspeech2022_siphil/\\">Speech Intelligibility Prediction for Hearing-Impaired Listeners</a>. We hope to see many of you in Korea!\\n\\nIn the meantime, please be sure to check out the onging <a href=\\"https://claritychallenge.org/docs/cec2/cec2_intro\\">2nd Clarity Enhancement Challenge</a>. The deadline for submitting enhanced signals is 1st September 2022, so there is still time to participate. To register a team please use the form <a href=\\"https://claritychallenge.org/docs/cec2/taking_part/cec2_registration\\">here</a>."},{"id":"CEC2 registration open","metadata":{"permalink":"/blog/CEC2 registration open","source":"@site/blog/2022-05-03-CEC2-registration.mdx","title":"CEC2 registration open","description":"We are pleased to announce that registration for the 2nd Clarity Enhancement Challenge (CEC2) is now open.","date":"2022-05-03T00:00:00.000Z","formattedDate":"May 3, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"registration","permalink":"/blog/tags/registration"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.62,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CEC2 registration open","title":"CEC2 registration open","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","registration","CEC2"]},"unlisted":false,"prevItem":{"title":"CPC1 results and prizes","permalink":"/blog/CPC1 results and prizes"},"nextItem":{"title":"Release of CEC2 baseline","permalink":"/blog/release of CEC2 baseline"}},"content":"import useBaseUrl from \'@docusaurus/useBaseUrl\';\\n\\nWe are pleased to announce that registration for the **2nd Clarity Enhancement Challenge (CEC2)** is now open.\\n\\nTo register please complete the simple Google form found on the [registration page](/docs/cec2/taking_part/cec2_registration).\\n\\nThe remaining important dates for the challenge are as follows:\\n\\n- **25th July 2022**: Evaluation data released\\n- **1st Sept 2022**: 1st round [submission](/docs/cec2/taking_part/cec2_submission) deadline for evaluation by objective measure\\n- **15th Sept 2022**: 2nd round [submission](/docs/cec2/taking_part/cec2_submission) deadline for listening tests\\n- **Sept-Nov 2022**: Listening test evaluation period.\\n- **2nd Dec 2022**: Results announced at a Clarity Challenge Workshop; prizes awarded.\\n\\nThe challenge training, dev data and initial tools are now fully from the [Github repository](https://github.com/claritychallenge/clarity).\\n\\nIf you have any questions please do not hesitate to contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com)."},{"id":"release of CEC2 baseline","metadata":{"permalink":"/blog/release of CEC2 baseline","source":"@site/blog/2022-05-02-CEC2-baseline.mdx","title":"Release of CEC2 baseline","description":"We are pleased to announce the release of the 2nd Clarity Enhancement Challenge (CEC2) baseline system code.","date":"2022-05-02T00:00:00.000Z","formattedDate":"May 2, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"baseline","permalink":"/blog/tags/baseline"},{"label":"HASPI","permalink":"/blog/tags/haspi"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.72,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"release of CEC2 baseline","title":"Release of CEC2 baseline","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","baseline","HASPI","CEC2"]},"unlisted":false,"prevItem":{"title":"CEC2 registration open","permalink":"/blog/CEC2 registration open"},"nextItem":{"title":"Launch of CEC2","permalink":"/blog/launch of CEC2"}},"content":"We are pleased to announce the release of the **2nd Clarity Enhancement Challenge (CEC2)** baseline system code.\\n\\nThe baseline code has been released in the latest commit to the [Clarity GitHub repository](https://github.com/claritychallenge/clarity). \\n\\nThe baseline system perform NAL-R amplification according to the audiogram of the target listener, followed by a simple gain control and output of the signals to 16-bit stereo wav format. The system has been kept deliberately simple with no microphone array processing or attempt at noise cancellation.\\n\\nHASPI scores for the dev set have been measured. The scores are as follows.\\n\\n| System | HASPI |\\n| --- | ---- |\\n| Unprocessed | 0.1615 |\\n| NAL-R baseline | 0.2493 |\\n\\nSee [here](/docs/cec2/software/cec2_baseline) for further details.\\n\\nIf you have any problems using the baseline code please do not hesitate to contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com), or post questions on the [Google group](https://groups.google.com/g/clarity-challenge)."},{"id":"launch of CEC2","metadata":{"permalink":"/blog/launch of CEC2","source":"@site/blog/2022-03-30-CEC2-launch.mdx","title":"Launch of CEC2","description":"We are pleased to announce the launch of the 2nd Clarity Enhancement Challenge (CEC2).","date":"2022-03-30T00:00:00.000Z","formattedDate":"March 30, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"launch","permalink":"/blog/tags/launch"},{"label":"CEC2","permalink":"/blog/tags/cec-2"}],"readingTime":0.845,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"launch of CEC2","title":"Launch of CEC2","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","launch","CEC2"]},"unlisted":false,"prevItem":{"title":"Release of CEC2 baseline","permalink":"/blog/release of CEC2 baseline"},"nextItem":{"title":"Live events in January","permalink":"/blog/Jan-2-live-events"}},"content":"We are pleased to announce the launch of the **2nd Clarity Enhancement Challenge (CEC2)**.\\n\\nThe website has been fully updated to provide you with all the information you will need to participate in the challenge.\\n\\nThe schedule for the challenge is as follows:\\n\\n- **13th April 2022**: [Release](/docs/cec2/cec2_download) of training and development data; initial tools.\\n- **30th April 2022**: [Release](/docs/cec2/cec2_download) of full toolset and baseline system.\\n- **1st May 2022**: [Registration](/docs/cec2/taking_part/cec2_registration) for challenge entrants opens.\\n- **25th July 2022**: Evaluation data released\\n- **1st Sept 2022**: 1st round [submission](/docs/cec2/taking_part/cec2_submission) deadline for evaluation by objective measure\\n- **15th Sept 2022**: 2nd round [submission](/docs/cec2/taking_part/cec2_submission) deadline for listening tests\\n- **Sept-Nov 2022**: Listening test evaluation period.\\n- **2nd Dec 2022**: Results announced at a Clarity Challenge Workshop; prizes awarded.\\n\\nThe challenge training, dev data and initial tools will be available from 13th April. In the meantime, please visit the [CEC2 Intro page](/docs/cec2/cec2_intro) to learn more about the task.\\n\\nIf you have any questions please do not hesitate to contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com)."},{"id":"Jan-2-live-events","metadata":{"permalink":"/blog/Jan-2-live-events","source":"@site/blog/2022-01-07_Jan_live_events.mdx","title":"Live events in January","description":"The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up.","date":"2022-01-07T00:00:00.000Z","formattedDate":"January 7, 2022","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"webinar","permalink":"/blog/tags/webinar"},{"label":"CPC1","permalink":"/blog/tags/cpc-1"}],"readingTime":1.61,"hasTruncateMarker":false,"authors":[{"name":"Lara Harris","title":"Clarity Team Member","url":"https://acoustictesting.salford.ac.uk/","imageURL":"https://avatars.githubusercontent.com/LaraHarris-Salford"}],"frontMatter":{"slug":"Jan-2-live-events","title":"Live events in January","author":"Lara Harris","author_title":"Clarity Team Member","author_url":"https://acoustictesting.salford.ac.uk/","author_image_url":"https://avatars.githubusercontent.com/LaraHarris-Salford","tags":["clarity","webinar","CPC1"]},"unlisted":false,"prevItem":{"title":"Launch of CEC2","permalink":"/blog/launch of CEC2"},"nextItem":{"title":"Introduction Webinar - Recording Available","permalink":"/blog/webinar-1-link"}},"content":"The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up.\\n\\n**The presentations will be very similar to the webinar in November.** These events are intended as a chance for people in different time zones to attend live and ask the team questions. \\n\\nHosting is via Microsoft Teams. You can join from your browser without needing to install Teams, but if you join from a mobile device you may need to install the Teams app.\\n\\n## Webinar - Challenge Overview\\n\\n### Friday 14th January \\n__9:00 GMT | 17:00 CST (GMT+8)__\\n\\n### [Click here to join the webinar](https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZjFhNjJhMzYtOWEyMC00NjNiLThjOTEtYTIwMTk2YTczZGRh%40thread.v2/0?context=%7b%22Tid%22%3a%2265b52940-f4b6-41bd-833d-3033ecbcf6e1%22%2c%22Oid%22%3a%223f282402-9a2d-4e68-b2d4-3c1f86585a45%22%7d)\\n\\n\\nAn introduction to the aims of the challenge and some background to the problem of speech intelligibility prediction for hearing aids:\\n\\n- Welcome, introduction to Clarity.\\n- Speech intelligibility models: Overview and why are they needed.\\n- Hearing impairment speech intelligibility prediction.\\n- The prediction challenge - details and how you can sign up to participate.\\n- Audience questions / discussion.\\n\\nThe presentations will be recorded and made available online shortly after the event. The Q&A discussion will not be recorded.\\n\\nYou are welcome to join slightly later if you are only interested in joining for the Q&A section (presentations should finish around 9:40 GMT).\\n\\n\\n\\n## Live Q&A session\\n\\n### Monday 17th January\\n\\n__17:00 GMT | 12:00 EST (GMT-5) | 9:00 PST (GMT-8)__\\n\\n### [Click here to join the Q&A](https://teams.microsoft.com/l/meetup-join/19%3ameeting_YTJhOGRmZGMtMjRiZS00MGY0LTliNjctZmZhMzhmNDI5M2I0%40thread.v2/0?context=%7b%22Tid%22%3a%2265b52940-f4b6-41bd-833d-3033ecbcf6e1%22%2c%22Oid%22%3a%223f282402-9a2d-4e68-b2d4-3c1f86585a45%22%7d)\\n\\nA chance to ask the team questions about the Clarity Prediction Challenge - for anyone that could not attend the webinar on Friday 14th due to time zone differences.\\n\\n__Please note there will be no presentations in this session.__ The talks from Friday\u2019s webinar will be uploaded to the [Clarity project YouTube channel](https://www.youtube.com/channel/UCIc8FCHUA3Il9PUPt-sW1qw/videos) later in the day so you are invited to watch those before joining this live Q&A."},{"id":"webinar-1-link","metadata":{"permalink":"/blog/webinar-1-link","source":"@site/blog/2021-12-13_Webinar_1_link.mdx","title":"Introduction Webinar - Recording Available","description":"The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online:","date":"2021-12-13T00:00:00.000Z","formattedDate":"December 13, 2021","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"webinar","permalink":"/blog/tags/webinar"},{"label":"CPC1","permalink":"/blog/tags/cpc-1"}],"readingTime":0.455,"hasTruncateMarker":false,"authors":[{"name":"Lara Harris","title":"Clarity Team Member","url":"https://acoustictesting.salford.ac.uk/","imageURL":"https://avatars.githubusercontent.com/LaraHarris-Salford"}],"frontMatter":{"slug":"webinar-1-link","title":"Introduction Webinar - Recording Available","author":"Lara Harris","author_title":"Clarity Team Member","author_url":"https://acoustictesting.salford.ac.uk/","author_image_url":"https://avatars.githubusercontent.com/LaraHarris-Salford","tags":["clarity","webinar","CPC1"]},"unlisted":false,"prevItem":{"title":"Live events in January","permalink":"/blog/Jan-2-live-events"},"nextItem":{"title":"Welcome to CPC1","permalink":"/blog/welcome to CPC1"}},"content":"The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online: \\n\\n<iframe width=\\"560\\" height=\\"315\\" src=\\"https://www.youtube.com/embed/G_9KczaoZY4\\" title=\\"YouTube video player\\" frameborder=\\"0\\" allow=\\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\\" allowfullscreen></iframe>\\n\\n\\n\\n\\n# Slides\\nThe slides are available to download:\\n\\n[1 Welcome and Overview](https://drive.google.com/file/d/1pycRrMv5OF9R6948Cda0QsJ4jh_Bek22/view?usp=sharing)\\n\\n[2 Speech Intelligibility Models](https://drive.google.com/file/d/1rScmDEUrtjBHG14VhWrKQu66-PiesU85/view?usp=sharing)\\n\\n[3 Hearing Impariment and SI Prediction](https://drive.google.com/file/d/1CQptm9sSIC8o2qHf_mtzQstLVhBnBzM_/view?usp=sharing)\\n\\n[4 Clarity Prediction Challenge Details](https://drive.google.com/file/d/1BVeqMbygIWyiIo61HEMjwjyEALxHipzP/view?usp=sharing)\\n\\n\\n\\nNote that we did not record the Q&A session at the end, but if you have questions about taking part in the challenge you can contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com)"},{"id":"welcome to CPC1","metadata":{"permalink":"/blog/welcome to CPC1","source":"@site/blog/2021-07-08-CPC1_welcome.mdx","title":"Welcome to CPC1","description":"Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we\'re still doing listening tests and preparing the data, so the download links don\'t work. If anything is unclear or you\'ve got questions, please contact us through the Google group.","date":"2021-07-08T00:00:00.000Z","formattedDate":"July 8, 2021","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"hello","permalink":"/blog/tags/hello"},{"label":"CPC1","permalink":"/blog/tags/cpc-1"}],"readingTime":0.27,"hasTruncateMarker":false,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"welcome to CPC1","title":"Welcome to CPC1","author":"Trevor Cox","author_title":"Clarity Team Member","author_url":"http://trevorcox.me/trevor-cox","author_image_url":"https://avatars.githubusercontent.com/trevorjcox","tags":["clarity","hello","CPC1"]},"unlisted":false,"prevItem":{"title":"Introduction Webinar - Recording Available","permalink":"/blog/webinar-1-link"},"nextItem":{"title":"CEC1 submissions received","permalink":"/blog/CEC1 submissions received"}},"content":"Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we\'re still doing listening tests and preparing the data, so the download links don\'t work. If anything is unclear or you\'ve got questions, please contact us through the Google group."},{"id":"CEC1 submissions received","metadata":{"permalink":"/blog/CEC1 submissions received","source":"@site/blog/2021-06-16-submission-deadline.mdx","title":"CEC1 submissions received","description":"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals.","date":"2021-06-16T00:00:00.000Z","formattedDate":"June 16, 2021","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"submission","permalink":"/blog/tags/submission"},{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":0.79,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CEC1 submissions received","title":"CEC1 submissions received","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","submission","CEC1"]},"unlisted":false,"prevItem":{"title":"Welcome to CPC1","permalink":"/blog/welcome to CPC1"},"nextItem":{"title":"CEC1 eval data released","permalink":"/blog/CEC1 eval data released"}},"content":"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals. \\n\\nPlease remember to submit your finalised system descriptions by June 22nd to the Clarity workshop following the [instructions provided on the workshop website](https://claritychallenge.github.io/clarity2021-workshop/submissions.html).\\n\\nWe are currently busy evaluating the submissions using the MBSTOI metric. We will be contacting teams on the 22nd with details of how to prepare signals for the listening panel evaluation.\\n\\n**If you have been working on the challenge but missed the submission deadline** then [please do get in contact](mailto:claritychallengecontact@gmail.com). We will still be happy to receive your signals and system descriptions. Although late entries will not be eligible for the official challenge ranking, we will be happy to compute the eval set MBSTOI score for you and may even be able to arrange listening test evaluation through our panel.\\n\\nFor any questions please contact us at [claritychallengecontact@gmail.com ](mailto:claritychallengecontact@gmail.com) or by posting to the [Clarity challenge google group](https://groups.google.com/g/clarity-challenge?pli=1)."},{"id":"CEC1 eval data released","metadata":{"permalink":"/blog/CEC1 eval data released","source":"@site/blog/2021-06-02-eval-data.mdx","title":"CEC1 eval data released","description":"The evaluation dataset is now available to download from the myairbridge download site. The evaluation data filename is clarityCEC1data.sceneseval.v11.tgz.","date":"2021-06-02T00:00:00.000Z","formattedDate":"June 2, 2021","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"evaluation","permalink":"/blog/tags/evaluation"},{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":1.235,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"CEC1 eval data released","title":"CEC1 eval data released","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","evaluation","CEC1"]},"unlisted":false,"prevItem":{"title":"CEC1 submissions received","permalink":"/blog/CEC1 submissions received"},"nextItem":{"title":"Baseline speech intelligibility model in round one","permalink":"/blog/baseline"}},"content":"The evaluation dataset is now available to download from the myairbridge [download site](https://mab.to/I9mkGx4wsiiaX). The evaluation data filename is `clarity_CEC1_data.scenes_eval.v1_1.tgz`.\\n\\nFull details of how to prepare your submission are now available on this site. Please read them carefully.\\n\\n**Registration**: Teams must register via the Google form on the [How To Submit](/docs/cec1/taking_part/cec1_submission) page of this site. (Please complete this even if you have already completed a pre-registration form). Only one person from each team should register. Only those who have registered will be eligible to proceed to the evaluation. Once you have registered you will receive a confirmation email, a team ID and a link to a Google Drive to which you can upload your signals.\\n\\n**Submission deadline**: The deadline for submission is the **15th June**.\\n\\nThe submission consists of two components:\\n\\ni) a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used. This should be prepared as a Clarity-2021 workshop abstract and [submitted to the workshop](https://claritychallenge.github.io/clarity2021-workshop/).\\n\\nii) the set of processed signals that we will evaluate using the MBSTOI metric. Details of how to name and package your signals for upload can be found on the [How To Submit](/docs/cec1/taking_part/cec1_submission) page.\\n\\n**Listening Tests:** Teams that do well in the MBSTOI evaluation will be notified on **22nd June** and invited to submit further signals for the second stage Listening Test evaluation.\\n\\nFor any questions please contact us at [claritychallengecontact@gmail.com](mailto:claritychallengecontact@gmail.com) or by posting to the [Clarity challenge google group](https://groups.google.com/g/clarity-challenge?pli=1)."},{"id":"baseline","metadata":{"permalink":"/blog/baseline","source":"@site/blog/2021-04-22-baseline-speech-intelligiblity-model.mdx","title":"Baseline speech intelligibility model in round one","description":"Some comments on signal alignment and level-insensitivity","date":"2021-04-22T00:00:00.000Z","formattedDate":"April 22, 2021","tags":[{"label":"audibility","permalink":"/blog/tags/audibility"},{"label":"intelligibility","permalink":"/blog/tags/intelligibility"},{"label":"MBSTOI","permalink":"/blog/tags/mbstoi"},{"label":"baseline","permalink":"/blog/tags/baseline"},{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":3.75,"hasTruncateMarker":true,"authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"}],"frontMatter":{"slug":"baseline","title":"Baseline speech intelligibility model in round one","author":"Simone Graetzer","author_title":"Clarity Team Member","author_url":"https://www.salford.ac.uk/our-staff/simone-graetzer","author_image_url":"https://avatars.githubusercontent.com/sgraetzer","tags":["audibility","intelligibility","MBSTOI","baseline","CEC1"]},"unlisted":false,"prevItem":{"title":"CEC1 eval data released","permalink":"/blog/CEC1 eval data released"},"nextItem":{"title":"Latency, computation time and real-time operation","permalink":"/blog/Latency, computation time and real-time operation"}},"content":"### Some comments on signal alignment and level-insensitivity\\n\\nOur baseline binaural speech intelligibility measure in round one is the Modified Binaural Short-Time Objective Intelligibility measure, or MBSTOI. This short post outlines the importance of correcting for delays that your hearing aid processing algorithm introduces into the audio signals to allow MBSTOI to estimate the speech intelligibility accurately. It also discusses the importance of considering the audibility of signals before evaluation with MBSTOI.\\n\\n## Evaluation\\n\\nIn stage one, entries will be ranked according to the average MBSTOI score across all samples in the evaluation test set. In the second stage, entries will be evaluated by the listening panel. There will be prizes for both stages. See this [page](https://claritychallenge.github.io/clarity_CEC1_doc/docs/cec1_rules) for more information.\\n\\n{/*truncate*/}\\n\\n## Signal alignment in time and frequency\\n\\nIf the signal processed by the hearing aid introduces a significant delay, you should correct for this delay before submitting your entry. This is necessary because MBSTOI requires alignment of the clean speech \u201creference\u201d with the processed signal in time and frequency. This needs to be done for both ear signals.\\n\\nMBSTOI downsamples signals to 10 kHz, uses a Discrete Fourier Transform to decompose the signal into one-third octave bands, and performs envelope extraction and short-time segmentation into 386 ms regions. Each region consists of 30 frames. These approaches are motivated by what is know about which frequencies and modulation frequencies are most important for intelligibility. For each frequency band and frame (over the region of which it is the last frame), an intermediate correlation coefficient is calculated between the clean reference and processed power envelopes for each ear. These are averaged to obtain the MBSTOI index. Thus is usually between 0 and 1, and rises monotonically with measured intelligibility scores, such that higher values indicate greater speech intelligibility. Alignment is therefore required at the level of the one-third octave bands and short-time regions.\\n\\nOur baseline corrects for broadband delay per ear due to the hearing loss model. (The delay is measured by running a kronnecker delta function through the model for each ear.) However, the baseline software will not correct for delays created by your hearing aid processing.\\n\\nConsequently, when submitting your hearing aid output signals, you are responsible for correcting for any delays introduced by your hearing aid. Note that this must be done blindly; the clean reference signals will not be supplied for the test/evaluation set.\\n\\n## Level insensitivity\\n\\nMBSTOI is level-independent, i.e., MBSTOI is broadly insensitive to the level of the processed signal because it is calculated using a cross-correlation method. This could be a problem because sounds that are below the auditory thresholds of the hearing impaired listener may appear to MBSTOI to be highly intelligible.\\n\\nTo overcome this, the baseline experimental code mbstoi_beta, in conjunction with the baseline hearing loss model, can be used to approximate hearing-impaired auditory thresholds. Specifically, mbstoi_beta adds internal noise that can be used to approximate normal hearing auditory thresholds. This noise, in combination with the attenuation of signals by the hearing loss model to simulate raised auditory thresholds, makes MBSTOI level-sensitive.\\n\\nThe noise is created by filtering white noise using pure tone threshold filter coefficients with one-third octave weighting, approximating the shape of a typical auditory filter (from Moore 2012, based on Patterson\u2019s method, 1976). This noise is added to the processed signal. Note, the standard MBSTOI in the equalisation-cancellation stage adds internal noise to parameters, but this is an independent process.\\n\\n## MBSTOI\\n\\nThe method was developed by Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen (Andersen et al., 2018). It builds on the Short-Time Objective Intelligibility (STOI) metric created by Cees H. Taal, Richard C. Hendriks, Richard Heusdens, and Jesper Jensen (Taal et al., 2011). MBSTOI includes a better ear stage and an equalisation-cancellation stage. For simplicity, the latter stage is not discussed here; see Andersen et al. (2018) for details.\\n\\n## References\\n\\n- Andersen, A. H., de Haan, J. M., Tan, Z. H., & Jensen, J. (2018). Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions. *Speech Communication*, 102, 1-13.\\n- Moore, B. C. (2012). *An introduction to the psychology of hearing*. Brill.\\n- Patterson, R. D. (1976). Auditory filter shapes derived with noise stimuli. *The Journal of the Acoustical Society of America*, 59(3), 640-654.\\n- Taal, C. H., Hendriks, R. C., Heusdens, R., & Jensen, J. (2011). An algorithm for intelligibility prediction of time\u2013frequency weighted noisy speech. *IEEE Transactions on Audio, Speech, and Language Processing*, 19(7), 2125-2136."},{"id":"Latency, computation time and real-time operation","metadata":{"permalink":"/blog/Latency, computation time and real-time operation","source":"@site/blog/2021-03-05-latency-computation-time-and-real-time-operation.mdx","title":"Latency, computation time and real-time operation","description":"An explanation of the time and computational limits for the first round of the enhancement challenge.","date":"2021-03-05T00:00:00.000Z","formattedDate":"March 5, 2021","tags":[{"label":"challenge","permalink":"/blog/tags/challenge"},{"label":"computation","permalink":"/blog/tags/computation"},{"label":"enhancement","permalink":"/blog/tags/enhancement"},{"label":"latency","permalink":"/blog/tags/latency"},{"label":"real-time","permalink":"/blog/tags/real-time"}],"readingTime":2.125,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Latency, computation time and real-time operation","title":"Latency, computation time and real-time operation","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["challenge","computation","enhancement","latency","real-time"]},"unlisted":false,"prevItem":{"title":"Baseline speech intelligibility model in round one","permalink":"/blog/baseline"},"nextItem":{"title":"Clarity Challenge pre-announcement","permalink":"/blog/Clarity Challenge pre-announcement"}},"content":"import rehypeKatex from \'rehype-katex\'\\nimport {remarkMath} from \\"remark-math\\";\\n\\nAn explanation of the time and computational limits for the first round of the enhancement challenge.\\n\\n## The 1st Clarity Enhancement Challenge\\n\\nFor a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. Such processing is useless for hearing aids and therefore our rules include a restriction on the use of future samples.\\n\\nThe rules state the following:\\n\\n- Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5ms).\\n- There is no limit on computational cost.\\n\\n{/*truncate*/}\\n\\nMathematically this is:\\n\\ny<sub>n</sub>=f(x<sub>m</sub> , x<sub>m+1</sub> ... x<sub>n+N-1</sub> , x<sub>n+N</sub> , L )\\n\\n- where y<sub>n</sub> is the output from your hearing aid for sample $n$.\\n- $x$ is the audio input signal from a hearing aid microphone.\\n- $N = 0.005 fs$ where $fs$ is the sampling frequency.\\n- $m$ is a sample number where $m \\\\le n$.\\n- $L$ is the listener characteristics.\\n- $f()$ is the hearing aid function. There is no limitation on how long this takes to compute.\\n- You can use multiple microphones; only a single input signal $x$ is shown here just for simplicity.\\n\\nHere it is illustrated as a diagram.\\n\\n![latency diagram](/img/latency_diagram-1.png)\\n\\nFigure. Example of how the limit of 5 ms is applied to a hearing aid input and output signal.\\nWe have a chosen a limit of 5 ms because in a real hearing aid there will be other sources of delay (e.g., analogue-to-digital, digital-to-analogue conversion).\\n\\n## Why is there no limitation of how long f() takes to compute?\\n\\nWe\u2019re trying to foster new approaches to hearing aid processing and decided that at this stage we will drive more innovation if we don\u2019t restrict computation time for round one. Such restrictions will be considered in future rounds.\\n\\n## Why haven\u2019t you talked about latency?\\n\\nIn discussions, it is apparent that this term is used in different ways by different people, so to avoid confusion we\u2019re not using it!\\n\\n## Do algorithms have to be real-time?\\n\\nThe above limitations mean that the algorithms could in theory be made real-time if a powerful enough computer was available, but your entry can take as long as it needs to process the signals."},{"id":"Clarity Challenge pre-announcement","metadata":{"permalink":"/blog/Clarity Challenge pre-announcement","source":"@site/blog/2020-11-24-clarity-challenge-pre-announcement.mdx","title":"Clarity Challenge pre-announcement","description":"Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don\u2019t use them. A key reason is simply that hearing aids don\u2019t provide enough benefit.","date":"2020-11-24T00:00:00.000Z","formattedDate":"November 24, 2020","tags":[{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":2.975,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Clarity Challenge pre-announcement","title":"Clarity Challenge pre-announcement","author":"Trevor Cox","author_title":"Clarity Team Member","author_url":"http://trevorcox.me/trevor-cox","author_image_url":"https://avatars.githubusercontent.com/trevorjcox","tags":["CEC1"]},"unlisted":false,"prevItem":{"title":"Latency, computation time and real-time operation","permalink":"/blog/Latency, computation time and real-time operation"},"nextItem":{"title":"One approach to our enhancement challenge","permalink":"/blog/One approach to our enhancement challenge"}},"content":"Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don\u2019t use them. A key reason is simply that hearing aids don\u2019t provide enough benefit.\\n\\nPicking out speech from background noise is a critical problem even for the most sophisticated devices. The purpose of the Clarity Challenges is to catalyse new work to radically improve the speech intelligibility provided by hearing aids.\\n\\nThe series of challenges will consider increasingly complex listening scenarios. The first round, launching in January 2021, will focus on speech in indoor environments in the presence of a single interferer. It will begin with a challenge involving improving hearing aid processing. Future challenges on how to model speech-in-noise perception will be launched at a later date.\\n\\n![Person using tablet](/img/UoN_HS-08207-1536x1024.jpeg)\\n\\n{/*truncate*/}\\n\\n## The Task\\n\\nYou will be provided with simulated scenes, each including a target speaker and interfering noise. For each scene, there will be signals that simulate those captured by a behind-the-ear hearing aid with three channels at each ear and those captured at the eardrum without a hearing aid present. The target speech will be a short sentence and the interfering noise will be either speech or domestic appliance noise.\\n\\nThe task will be to deliver a hearing aid signal processing algorithm that can improve the intelligibility of the target speaker for a specified hearing-impaired listener. Initially, entries will be evaluated using an objective speech intelligibility measure we will provide. Subsequently, up to twenty of the most promising systems will be evaluated by a panel of listeners.\\n\\nWe will provide a baseline system so that teams can choose to focus on individual components or to develop their own complete pipelines.\\n\\n## What will be provided\\n\\n- Evaluation of the best entries by a panel of hearing-impaired listeners.\\n- Speech + interferer scenes for training and evaluation.\\n- An entirely new database of 10,000 spoken sentences\\n- Listener characterisations including audiograms and speech-in-noise testing.\\n- Software including tools for generating training data, a baseline hearing aid algorithm, a baseline model of hearing impairment, and a binaural objective intelligibility measure.\\n\\n## Important Dates\\n\\n- January 2021 \u2013 Challenge launch and release of software and data\\n- April 2021 \u2013 Evaluation data released\\n- May 2021 \u2013 Submission deadline\\n- June-August 2021 \u2013 Listening test evaluation period\\n- September 2021 \u2013 Results announced at a Clarity Challenge Workshop in conjunction with Interspeech 2021\\n\\nChallenge and workshop participants will be invited to contribute to a journal Special Issue on the topic of Machine Learning for Hearing Aid Processing that will be announced next year.\\n\\n## Further information\\n\\nIf you are interested in participating and wish to receive further information, please sign up.\\n\\nIf you have questions, contact us directly at [contact@claritychallenge.org](mailto:contact@claritychallenge.org)\\n\\n## Organisers\\n\\n- Prof. Jon P. Barker, Department of Computer Science, University of Sheffield\\n- Prof. Michael A. Akeroyd, Hearing Sciences, School of Medicine, University of Nottingham\\n- Prof. Trevor J. Cox, Acoustics Research Centre, University of Salford\\n- Prof. John F. Culling, School of Psychology, Cardiff University\\n- Prof. Graham Naylor, Hearing Sciences, School of Medicine, University of Nottingham\\n- Dr Simone Graetzer, Acoustics Research Centre, University of Salford\\n- Dr Rhoddy Viveros Mu\xf1oz, School of Psychology, Cardiff University\\n- Eszter Porter, Hearing Sciences, School of Medicine, University of Nottingham\\n\\nFunded by the Engineering and Physical Sciences Research Council (EPSRC), UK.\\n\\nSupported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research, Honda Research Institute Europe.\\n\\n## Acknowledgement\\n\\nThe image copyright is owned by the University of Nottingham."},{"id":"One approach to our enhancement challenge","metadata":{"permalink":"/blog/One approach to our enhancement challenge","source":"@site/blog/2020-07-29-one-approach-to-our-enhancement-challenge.mdx","title":"One approach to our enhancement challenge","description":"Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function.","date":"2020-07-29T00:00:00.000Z","formattedDate":"July 29, 2020","tags":[{"label":"DNN","permalink":"/blog/tags/dnn"},{"label":"enhancement","permalink":"/blog/tags/enhancement"},{"label":"evaluation","permalink":"/blog/tags/evaluation"},{"label":"GAN","permalink":"/blog/tags/gan"},{"label":"hearing aid","permalink":"/blog/tags/hearing-aid"},{"label":"knowledge distillation","permalink":"/blog/tags/knowledge-distillation"}],"readingTime":3.59,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"One approach to our enhancement challenge","title":"One approach to our enhancement challenge","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["DNN","enhancement","evaluation","GAN","hearing aid","knowledge distillation"]},"unlisted":false,"prevItem":{"title":"Clarity Challenge pre-announcement","permalink":"/blog/Clarity Challenge pre-announcement"},"nextItem":{"title":"The speech-in-noise problem part two","permalink":"/blog/The speech-in-noise problem part two"}},"content":"Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function.\\n\\nThe aim of our Enhancement Challenge is to get people producing new algorithms for processing speech signals through hearing aids. We expect most entries to replace the classic hearing aid processing of Dynamic Range Compressors (DRCs) with [deep neural networks (DNN)](https://en.wikipedia.org/wiki/Deep_learning) (although all approaches are welcome!). The first round of the challenge is going to be all about improving speech intelligibility.\\n\\nSetting up a DNN structure and training regime for the task is not as straightforward as it might first appear. Figure 1 shows an example of a naive training regime. An audio example of Speech in Noise (SPIN) is randomly created (*audio sample generation*, bottom left), and a listener is randomly selected with particular hearing loss characteristics (*random artificial listener generation*, top left). The DNN Enhancement model (represented by the bright yellow box) then produces improved speech in noise. (Audio signals in pink are two-channel, left and right because this is for binaural hearing aids.)\\n\\n![schematic](/img/clarity_schematic_for_blog-09.png)\\n\\nFigure 1\\n\\nNext the improved speech in noise is passed to the Prediction Model in the lime green box, and this gives an estimation of the Speech Intelligibility (SI). Our baseline system will include algorithms for this. We\u2019ve already blogged about the Hearing Loss Simulation. Our current thinking is that the intelligibility model will be using a binaural form of the Short-Time Objective Intelligibility Index (STOI) [1]. The dashed line going back to the enhancement model shows that the DNN will be updated based on the reciprocal of the Speech Intelligibility (SI) score. By minimising (1/SI), the enhancement model will be maximising intelligibility.\\n\\n{/*truncate*/}\\n\\nThe difficulty here is that updating the Enhancement Model DNN during training requires the error to be known at the DNN\u2019s output (the point labelled \u201cimproved SPIN\u201d). But we don\u2019t know this, we only know the error on the output of the prediction model at the far right of the diagram. This wouldn\u2019t be a problem if the prediction model could be inverted, because we could then run the 1/SI error backwards through the inverse model.\\n\\nAs the inverse of the prediction model isn\u2019t available, one solution is to train another DNN to mimic its behaviour (Figure 2). As this new Prediction Model is a DNN, the 1/SI error can be passed backwards through it using standard neural network training formulations.\\n\\n![schematic](/img/clarity_schematic_for_blog-10.png)\\n\\nThis DNN prediction model could be trained first using knowledge distillation ([this is something I\u2019ve previous done for a speech intelligibility model](http://usir.salford.ac.uk/id/eprint/56234/)), and then the weights frozen while the Enhancement Model is trained. But there is a \u2018chicken and egg\u2019 problem here. The difficulty is generating all the training data for the prediction model. Until you train the enhancement model, you won\u2019t have a representative examples of \u201cimproved SPIN\u201d to train the prediction model. But without the prediction model, you can\u2019t train the enhancement model.\\n\\nOne solution is to train the two DNNs in tandem, with an approach analogous to how pairs of networks are trained in a [Generative Adversarial Network](https://en.wikipedia.org/wiki/Generative_adversarial_network) (GAN). iMetricGan developed by Li et al. [2] is an example of this being done for speech enhancement, although the authors weren\u2019t trying to include hearing loss simulation. They aren\u2019t the only ones looking at trying to solve problems where a non-differentiable or black-box evaluation function is in the way of DNN training [3][4].\\n\\nWe hope our entrants will come up with lots of other ways of overcoming this problem. How would you tackle it?\\n\\n## References\\n\\n- [1] Andersen, A.H., Haan, J.M.D., Tan, Z.H. and Jensen, J., 2015. A binaural short time objective intelligibility measure for noisy and enhanced speech. In the *Sixteenth Annual Conference of the International Speech Communication Association*.\\n- [2] Li, H., Fu, S.W., Tsao, Y. and Yamagishi, J., 2020. iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. *arXiv preprint arXiv:2004.00932*.\\n- [3] Gillhofer, M., Ramsauer, H., Brandstetter, J., Sch\xe4fl, B. and Hochreiter, S., 2019. A GAN based solver of black-box inverse problems. Proceedings of the *NeurIPS 2019 Workshop*.\\n- [4] Kawanaka, M., Koizumi, Y., Miyazaki, R. and Yatabe, K., 2020, May. Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function. In ICASSP 2020-2020 *IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)* (pp. 7524-7528). IEEE."},{"id":"The speech-in-noise problem part two","metadata":{"permalink":"/blog/The speech-in-noise problem part two","source":"@site/blog/2020-07-06-the-speech-in-noise-problem-part-2.mdx","title":"The speech-in-noise problem part two","description":"How hearing aids address the problem of speech-in-noise in noisy and quieter places. We\u2019ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids.","date":"2020-07-06T00:00:00.000Z","formattedDate":"July 6, 2020","tags":[{"label":"machine learning","permalink":"/blog/tags/machine-learning"},{"label":"speech-in-noise","permalink":"/blog/tags/speech-in-noise"}],"readingTime":4.24,"hasTruncateMarker":true,"authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"The speech-in-noise problem part two","title":"The speech-in-noise problem part two","authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["machine learning","speech-in-noise"]},"unlisted":false,"prevItem":{"title":"One approach to our enhancement challenge","permalink":"/blog/One approach to our enhancement challenge"},"nextItem":{"title":"Hearing loss simulation","permalink":"/blog/Hearing loss simulation"}},"content":"How hearing aids address the problem of speech-in-noise in noisy and quieter places. We\u2019ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids.\\n\\n![Tablet user](/img/UoN_HS-08207-1536x1024.jpeg)\\n\\nIn a previous blog, we set out the problem of using hearing aids to pick out speech in noisy places. When the [signal-to-noise ratio (SNR)](https://en.wikipedia.org/wiki/Signal-to-noise_ratio) is low, hearing aids can only do so much to improve the intelligibility of the speech.\\n\\nA solitary hearing aid has various ways of addressing everyday constant noises such as cars, vacuum cleaners and fans. The aids work best when the noise is not too intrusive and SNR is relatively high. Problems arise when the noise is high (low SNRs), because then the hearing aid processing can distort the sound too much. While the hearing aid might have limited success in improving intelligibility in certain cases, they can still make the noise less annoying (e.g., Brons et al., 2014).\\n\\nUsing multiple microphones on each hearing aid can help in noisy conditions. The sound from the microphones is combined in a way that boosts the speech relative to the noise. This technology can be put into larger hearing aids, when there is enough spacing between the front and rear microphones.\\n\\nOne of the reasons why our brains are really good at picking out speech from the hubbub of a restaurant, is that it compares and contrasts the sounds from both ears. Our hearing is [binaural](https://en.wikipedia.org/wiki/Binaural). Similarly, if you have a hearing aids in both ears, they work better if they collaborate on reducing the noise.\\n\\nCrucial to how our brains locate sound and pick out speech in noise are timing and level cues that come from comparing the sound at both ears. When sound comes from the side:\\n\\n- interaural time differences occur because the sound arrives at one ear earlier than the other.\\n- interaural level differences occur because the sound has to bend around the head to reach the furthest ear.\\n\\nBinaural hearing aids communicate wirelessly and use noise reduction strategies that preserve these interaural time and level difference cues (e.g., Van den Bogaert et al., 2009). This allows the listener\u2019s brain to better locate the speech and boost this compared to the noise.\\n\\n{/*truncate*/}\\n\\n## Machine learning\\n\\nIn recent years, there has been increasing interest in what [machine learning](https://en.wikipedia.org/wiki/Machine_learning) methods can do for hearing aids. Machine learning is a branch of artificial intelligence where computers learn directly from example data. One machine learning method is the neural network. This is an algorithm formed from layers of simple computational units connected to each other in a way that is inspired by connections between neurons in the brain. Deep (3+ layer) neural networks are able to learn complex, non-linear mapping functions, which makes them ideal candidates for noise reduction tasks.\\n\\nWe anticipate that machine learning can help tackle the challenge of speech in noise for hearing aids, providing a tailored solution for each individual and listening situation. For example, one thing machine learning could do is to sense the acoustic environment the listener is in, and choose the most suitable processing settings.\\n\\n![Electronic brain](/img/neural_brain.jpeg)\\n\\nImage via [www.vpnsrus.com](https://www.vpnsrus.com)\\n\\nIn recent years, a machine learning approach for noise reduction has become popular. Neural networks are used to estimate time-frequency masks (a set of gains for each time-frequency unit that, when multiplied by the signal, produce less noisy speech; see, e.g., Zhao et al., 2018).\\n\\nMachine learning systems for noise reduction are trained on artificially mixed speech and noise. Some operate on a single channel, i.e., using spectral cues, and some work with multiple channels using spatial cues. We expect that future hearing aids built on machine learning will perform best if they combine the left and right microphones to work binaurally.\\n\\nMost of these noise reduction systems have been designed and evaluated in an off-line mode where they process pre-recorded signals. This isn\u2019t much use for hearing aids that need to work in real-time with low latency (i.e., short delays). One challenge for hearing aids is to redesign off-line approaches to work quickly enough without too much loss of performance.\\n\\nThe potential for machine learning to produce better approaches to hearing aid processing is what motivated the Clarity Project. If you\u2019re interested in hearing more as the challenges develop, please sign up.\\n\\n## References\\n\\n- Brons, I., Houben, R., and Dreschler, W. A. (2014). Effects of noise reduction on speech intelligibility, perceived listening effort, and personal preference in hearing-impaired listeners. *Trends in hearing*, 18, 1-10.\\n- Van den Bogaert, T., Doclo, S., Wouters, J., and Moonen, M. (2009). Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing aids. *The Journal of the Acoustical Society of America*, 125(1), 360-371.\\n- Zhao, Y., Wang, D., Johnson, E. M., and Healy, E. W. (2018). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. *The Journal of the Acoustical Society of America*, 144(3), 1627-1637.\\n\\n## Credits\\n\\nPhotograph of hearing aid wearer, copyright University of Nottingham.\\n\\nImage of brain with overlaid circuity made available by [www.vpnsrus.com](https://www.vpnsrus.com)."},{"id":"Hearing loss simulation","metadata":{"permalink":"/blog/Hearing loss simulation","source":"@site/blog/2020-06-23-hearing-loss-simulation.mdx","title":"Hearing loss simulation","description":"What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss.","date":"2020-06-23T00:00:00.000Z","formattedDate":"June 23, 2020","tags":[{"label":"baseline","permalink":"/blog/tags/baseline"},{"label":"hearing loss simulation","permalink":"/blog/tags/hearing-loss-simulation"}],"readingTime":3.75,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"},{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"}],"frontMatter":{"slug":"Hearing loss simulation","title":"Hearing loss simulation","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"},{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"}],"tags":["baseline","hearing loss simulation"]},"unlisted":false,"prevItem":{"title":"The speech-in-noise problem part two","permalink":"/blog/The speech-in-noise problem part two"},"nextItem":{"title":"Sounds for round one","permalink":"/blog/Sounds"}},"content":"What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss.\\n\\nOur challenge entrants are going to use machine learning to develop better processing of speech in noise (SPIN) for hearing aids. For a machine learning algorithm to learn new ways of processing audio for the hearing impaired, it needs to estimate how the sound will be degraded by any hearing loss. Hence, we need an algorithm to simulate hearing loss for each of our listeners. The diagram belows shows our draft baseline system that was detailed in a previous blog. The hearing loss simulation is part of the prediction model. The Enhancement Model to the left is effectively the hearing aid and the Prediction Model to the right is estimating how someone will perceive the intelligibility of the speech in noise.\\n\\n![baseline](/img/baseline-1536x684.png)\\n\\nThe draft baseline system (where SPIN is speech in noise, DRC is Dynamic Range Compression, HL is Hearing Loss, SI is Speech Intelligibility and L & R are Left and Right).\\n\\nThere are different causes of hearing loss, but we\u2019re concentrating on the most common type that happens when you age ([presbycusis](https://www.nhs.uk/conditions/hearing-loss/)). [RNID](https://rnid.org.uk/) (formerly Action on Hearing Loss) estimate that more than 40% of people over the age of 50 have a hearing loss, and this rises to 70% of people who are older than 70.\\n\\nThe aspects of hearing loss we\u2019ve decided to simulate are\\n\\n1. The loss of ability to sense the quietest sounds (increase in absolute threshold).\\n2. How as an audible sound increases in level, the perceived increase in loudness is greater than normal (loudness recruitment) (Moore et al. 1996).\\n3. How the ear has a poorer ability to discriminate the frequency of sounds (impaired frequency selectivity).\\n\\n{/*truncate*/}\\n\\n## Audio examples of hearing loss\\n\\nHere are two samples of speech in noise processed through the simulator. In each audio example there are three versions of the same sentence:\\n\\n1. Unimpaired hearing\\n2. Mild hearing impairment\\n3. Moderate to severe hearing impairment\\n\\n0 dB signal to noise ratio\\n\\n<audio controls>\\n<source src=\\"/audio/spin_example.wav\\" type=\\"audio/wav\\" />\\nYour browser does not support the audio element.\\n</audio>\\n\\nAnd here is an example where the noise is louder:\\n\\n<audio controls>\\n<source src=\\"/audio/spin_example-10SNR.wav\\" type=\\"audio/wav\\" />\\nYour browser does not support the audio element.\\n</audio>\\n\\nNoisier: -10dB signal to noise ratio\\n\\n## Acknowledgements\\n\\nThe hearing loss model we\u2019re using was generously supplied by [Michael Stone at the University of Manchester](https://www.research.manchester.ac.uk/portal/michael.stone.html) as MATLAB code and translated by us into Python. The original code was written by members of the Auditory Perception Group at the University of Cambridge, ca. 1991-2013, including Michael Stone, Brian Moore, Brian Glasberg and Thomas Baer. Information about the model can be found primarily in Nejime and Moore (1997), but also in Nejime and Moore (1998), Baer and Moore (1993 and 1994), and Moore and Glasberg (1993).\\n\\nThe original speech recordings come from the ARU corpus, University of Liverpool (Hopkins et al. 2019). This corpus is freely available at the link in the reference below.\\n\\n## References\\n\\n- Baer, T., & Moore, B. C. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. *The Journal of the Acoustical Society of America*, 94(3), 1229-1241.\\n- Baer, T., & Moore, B. C. (1994). Effects of spectral smearing on the intelligibility of sentences in the presence of interfering speech. *The Journal of the Acoustical Society of America*, 95(4), 2277-2280.\\n- Hopkins, C., Graetzer, S., & Seiffert, G. (2019). ARU adult British English speaker corpus of IEEE sentences (ARU speech corpus) version 1.0 [data collection]. Acoustics Research Unit, School of Architecture, University of Liverpool, United Kingdom. DOI: 10.17638/datacat.liverpool.ac.uk/681. Retrieved from [http://datacat.liverpool.ac.uk/681/](http://datacat.liverpool.ac.uk/681/).\\n- Moore, B. C., & Glasberg, B. R. (1993). Simulation of the effects of loudness recruitment and threshold elevation on the intelligibility of speech in quiet and in a background of speech. *The Journal of the Acoustical Society of America*, 94(4), 2050-2062.\\n- Moore, B. C., Glasberg, B. R., & Vickers, D. A. (1996). Factors influencing loudness perception in people with cochlear hearing loss. B. Kollmeier, *World Scientific*, Singapore, 7-18.\\n- Nejime, Y., & Moore, B. C. (1997). Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. *The Journal of the Acoustical Society of America*, 102(1), 603-615.\\n- Nejime, Y., & Moore, B. C. (1998). Evaluation of the effect of speech-rate slowing on speech intelligibility in noise using a simulation of cochlear hearing loss. *The Journal of the Acoustical Society of America*, 103(1), 572-576."},{"id":"Sounds","metadata":{"permalink":"/blog/Sounds","source":"@site/blog/2020-06-18-sounds-for-round-one.mdx","title":"Sounds for round one","description":"We\u2019ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.","date":"2020-06-18T00:00:00.000Z","formattedDate":"June 18, 2020","tags":[{"label":"CEC1","permalink":"/blog/tags/cec-1"},{"label":"focus group","permalink":"/blog/tags/focus-group"},{"label":"noise","permalink":"/blog/tags/noise"},{"label":"sounds","permalink":"/blog/tags/sounds"}],"readingTime":3.425,"hasTruncateMarker":true,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Sounds","title":"Sounds for round one","author":"Trevor Cox","author_title":"Clarity Team Member","author_url":"http://trevorcox.me/trevor-cox","author_image_url":"https://avatars.githubusercontent.com/trevorjcox","tags":["CEC1","focus group","noise","sounds"]},"unlisted":false,"prevItem":{"title":"Hearing loss simulation","permalink":"/blog/Hearing loss simulation"},"nextItem":{"title":"The speech-in-noise problem","permalink":"/blog/The speech-in-noise problem"}},"content":"We\u2019ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.\\n\\nWe wanted to know about\\n\\n- Everyday background noises that make having a conversation difficult.\\n- The characteristics of speech after it has been processed by a hearing-aid that hearing aid listeners would value.\\n\\nA total of eight patients (four males, four females) attended the meeting, six of whom were recruited from the [Nottingham Biomedical Research Centre\u2019s](https://nottinghambrc.nihr.ac.uk/) patient and public involvement contact list. Two attendees were recruited from a local lip reading class organised by the [Nottinghamshire Deaf Society](https://www.nottsdeaf.org.uk/). The range of hearing loss within the group is from mild to severe. They all regularly use bilateral hearing aids.\\n\\nOur focus was on the living room because that is the scenario for round one of the challenges.\\n\\n![People Listening](/img/photo-of-people-sitting-on-sofa-3890171.jpeg)\\n\\nPhoto by Gustavo Fring from Pexels\\n\\n{/*truncate*/}\\n\\n## Everyday background noises that interfere with understanding of speech\\n\\nA long and varied list of sounds cause problems. These lists are in no particular order.\\n\\n- Living room or space\\n- Clocks ticking\\n- Crisp packets rustling\\n- Taps running\\n- Kettles boiling\\n- Dishwasher\\n- Microwave\\n- Washing machine\\n- TV, music, radio\\n- Phone ringing (or receiving texts \u2013 unknown beeps/tones)\\n- Newspapers rustling\\n- Air-conditioning and oven extractor fans\\n- Vacuum cleaner\\n- Doorbell ringing\\n- Dog barking\\n- Rain on window\\n\\n## Family and friends\\n\\n- Cutlery/crockery banging/clanging\\n- Doors opening/closing (to rooms and cupboards)\\n- Music\\n- People walking around the room\\n- Children playing with toys\\n- Laughing\\n- People talking from another room\\n- Speakers from a different conversation in close proximity (i.e. beside you) when you are trying to converse\\n- Traffic outside\\n- Chewing/chomping\\n- Steam pipes/ coffee machines\\n- Chairs being moved\\n\\n## Outside\\n\\n- Church bells\\n- Market noise\\n- Footsteps on different types of ground, i.e. heels on hard floors but also wellingtons in mud\\n- Clothes rustling (such as waterproof coats or hat on hearing aid)\\n- Wind (even with HA on \u2018wind setting\u2019)\\n- Pigeons/birds\\n- Sirens\\n- Traffic noise (especially at junctions)\\n- Music\\n- Laughter\\n- Phones ringing\\n- Tills\\n- Children playing outside or running around (in shops, on the street and at parks)\\n- Beeping signal at crossings\\n- Garden centres \u2013 high glass ceilings, open plan, trolleys\\n- Road/ tyre and traffic noise when in a car or on the bus\\n- Also mentioned how people you speak to in the car may be in front or behind you\\n- Trains and the tube\\n- Aeroplanes and airports (suitcases rolling)\\n- Tannoys\\n\\n## Characteristics of processed speech to consider\\n\\n- Clarity (clearness) or quality\\n- Rhythm of speech\\n- \u2018Inflection\u2019 (intonation)\\n- Similarity to original speaker\\n- Agreed that in situations where the voice would not be processed clearly, i.e. outside with many noise sources, not sounding like the original - speaker is fine.\\n\\n## Other comments\\n\\n- Speed of speech; it was suggested that we have sentences read at different speeds as faster talkers are often harder to understand.\\n- Stated that emphasis on key words is useful for following conversation; perhaps key words in the sentence when marked should be given higher value.\\n- Lots of comments on room acoustics, i.e., ceiling heights, furnishings, floorings, windows etc., which has a big impact on how difficult it is to have a conversation with background noise.\\n- Different accents of talkers can make conversation more difficult; including speakers with different accents in the background.\\n- We\u2019re now working out what sounds to use. But are there other sounds we should consider?\\n\\n## Credits\\n\\n- Thank you to the patient and public involvement representatives who participated.\\n- Clarity Organiser: Eszter Porter .\\n- Facilitators: Adele Horobin, Erin Dawe-Lane.\\n- This discussion group was supported by the [National Institute for Health Research Nottingham Biomedical Research Centre](https://nottinghambrc.nihr.ac.uk/).\\n![NIHR logo](/img/nihr-nbrc.png)"},{"id":"The speech-in-noise problem","metadata":{"permalink":"/blog/The speech-in-noise problem","source":"@site/blog/2020-06-18-the-speech-in-noise-problem.mdx","title":"The speech-in-noise problem","description":"People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.","date":"2020-06-18T00:00:00.000Z","formattedDate":"June 18, 2020","tags":[{"label":"cocktail party","permalink":"/blog/tags/cocktail-party"},{"label":"hearing","permalink":"/blog/tags/hearing"},{"label":"hearing aid","permalink":"/blog/tags/hearing-aid"},{"label":"noise","permalink":"/blog/tags/noise"},{"label":"speech","permalink":"/blog/tags/speech"}],"readingTime":3.725,"hasTruncateMarker":true,"authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"The speech-in-noise problem","title":"The speech-in-noise problem","authors":[{"name":"Simone Graetzer","title":"Clarity Team Member","url":"https://www.salford.ac.uk/our-staff/simone-graetzer","image_url":"https://avatars.githubusercontent.com/sgraetzer","imageURL":"https://avatars.githubusercontent.com/sgraetzer"},{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"image":"https://i.imgur.com/mErPwqL.png","tags":["cocktail party","hearing","hearing aid","noise","speech"]},"unlisted":false,"prevItem":{"title":"Sounds for round one","permalink":"/blog/Sounds"},"nextItem":{"title":"Why use machine learning challenges for hearing aids?","permalink":"/blog/Why use machine learning challenges for hearing aids"}},"content":"People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.\\n\\n![cocktail party](/img/cocktail_party.jpeg)\\n\\nIt\u2019s common for us to hear sounds coming simultaneously from different sources. Our brains then need to separate out what we want to hear (the target speaker) from the other sounds. This is especially difficult when the competing sounds are speech. This has the quaint name, The Cocktail Party Problem (Cherry, 1953). We don\u2019t go to many cocktail parties, but we encounter lots of times where the The Cocktail Party Problem is important. Hearing a conversation in a busy restaurant, trying to understand a loved one while the television is on or hearing the radio in the kitchen when the kettle is boiling, are just a few examples.\\n\\nDifficulty in picking out speech in noise is really common if you have a hearing loss. Indeed, it\u2019s often when people have problems doing this that they realise they have a hearing loss.\\n\\n```\\n\u201cHearing aids don\u2019t work when there is a lot of background noise. This is when you need them to work.\u201d\\n\\n-- Statement from a hearing aid wearer (Kochkin, 2000)\\n```\\n\\nHearing aids are the the most common form of treatment for hearing loss. However, surveys indicate that at least 40% of hearing aids are never or rarely used (Knudsen et al., 2010). A major reason for this is dissatisfaction with performance. Even the best hearing aids perform poorly for speech in noise. This is particularly the case when there are many people talking at the same time, and when the amount of noise is relatively high (i.e., the signal-to-noise ratio (SNR) is low). As hearing ability worsen with age, the ability to understand speech in background noise also reduces (e.g., Akeroyd, 2008).\\n\\n{/*truncate*/}\\n\\nWhen an audiologist assesses hearing loss, one thing they measure is the pure tone audiogram. This assesses the quietest sound someone can hear over a range of frequencies. However, an audiogram only partly explains your experience with speech in background noise (Heinrich et al. 2015), because it only measures the quietest sound you can hear. For example, picking out speech from noise is a complex task for the brain to perform, and this cognitive ability isn\u2019t assessed by an audiogram. In addition, there are other factors that are important such as personality, motivation, attitude toward hearing aids and prior hearing aid experience.\\n\\n![Audiogram](/img/audiogram.jpg)\\n\\nAn audiogram displaying a \u201cski slope\u201d pattern that is a sign of age-related hearing loss (source: Ronan and Barrett, BMJ, 2014).\\nSpeech-in-noise tests get closer to the real-life problem a hearing aid is trying to solve. Listeners listen to speech in the presence of noise and write down what words they hear. More words correct show an increase in the ability to understand speech in specific noisy situations when listeners are wearing their hearing aid (aided) relative to when they are not (unaided). Of course, listening conditions in the clinic differ from real-life conditions.\\n\\nCurrently, while speech-in-noise test scores can be useful when fine-tuning a hearing aid, even then many users are disappointed about the performance of their hearing aids. Through our challenges, we hope to improve this situation, whether you go to cocktail parties or not.\\n\\nWhat\u2019s your experience with speech in noise? Please comment below.\\n\\n## References\\n\\n- Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. *International Journal of Audiology*, 47(sup2), S53-S71.\\n- Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. *The Journal of the Acoustical Society of America*, 25(5), 975-979.\\n- Heinrich, A., Henshaw, H., and Ferguson, M. A. (2015). The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech perception tests. *Frontiers in Psychology*, 6, 782.\\n- Vestergaard Knudsen, L., \xd6berg, M., Nielsen, C., Naylor, G., and Kramer, S. E. (2010). Factors influencing help seeking, hearing aid uptake, hearing aid use and satisfaction with hearing aids: A review of the literature. *Trends in Amplification*, 14(3), 127-154.\\n- Kochkin, S. (2000). MarkeTrak V: \u201cWhy my hearing aids are in the drawer\u201d The consumers\u2019 perspective. *The Hearing Journal*, 53(2), 34-36.\\n\\n## Credits\\n\\n- Photo of Cocktail party by Ross CC BY-NC-SA 2.0\\n- Ronan, N., & Barrett, G. (2014). A 68 year old woman with deteriorating hearing. BMJ, 348, g2984. [https://www.bmj.com/content/348/bmj.g2984](https://www.bmj.com/content/348/bmj.g2984)"},{"id":"Why use machine learning challenges for hearing aids","metadata":{"permalink":"/blog/Why use machine learning challenges for hearing aids","source":"@site/blog/2020-05-06-why-use-machine-learning-challenges.mdx","title":"Why use machine learning challenges for hearing aids?","description":"The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:","date":"2020-05-06T00:00:00.000Z","formattedDate":"May 6, 2020","tags":[{"label":"challenges","permalink":"/blog/tags/challenges"},{"label":"CHiME","permalink":"/blog/tags/c-hi-me"},{"label":"enhancement","permalink":"/blog/tags/enhancement"},{"label":"machine learning","permalink":"/blog/tags/machine-learning"},{"label":"prediction","permalink":"/blog/tags/prediction"}],"readingTime":2.21,"hasTruncateMarker":false,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"Why use machine learning challenges for hearing aids","title":"Why use machine learning challenges for hearing aids?","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["challenges","CHiME","enhancement","machine learning","prediction"]},"unlisted":false,"prevItem":{"title":"The speech-in-noise problem","permalink":"/blog/The speech-in-noise problem"},"nextItem":{"title":"The baseline","permalink":"/blog/The baseline"}},"content":"The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:\\n\\n- Machine learning (ML) at scale \u2013 big data and raw [GPU](https://en.wikipedia.org/wiki/Graphics_processing_unit) power.\\n- Benchmarking \u2013 research has developed around community-organised evaluations or challenges.\\n- Collaboration has been enabled by these challenges, allowing working across communities such as signal processing, acoustic modelling, language modelling and machine learning\\n\\nWe\u2019re hoping that these three mechanisms can drive improvements in hearing aids.\\n\\n## Components of a challenge\\n\\nThere needs to be a common task based on a target application scenario to allow communities to gain from benchmarking and collaboration. Clarity project\u2019s first enhancement challenge will be about hearing speech from a single talker in a typical living room, where there is one source of noise and a little reverberation.\\n\\nWe\u2019re currently working on developing simulation tools to allow us to generate our living room data. The room acoustic will be simulated using [RAVEN](https://www.semanticscholar.org/paper/RAVEN%3A-A-real-time-framework-for-the-auralization-Schr%C3%B6der-Vorl%C3%A4nder/6977f2c2c1fb4cac2305e7965ee0da8192ced72d?p2df) and [the Hearing Device Head-related Transfer Functions will come from Denk\u2019s work](https://uol.de/mediphysik/downloads/hearingdevicehrtfs). We\u2019re working on getting better, more ecologically valid speech than is often used in speech intelligibility work.\\n\\n![baseline](/img/baseline-1536x684.png)\\n\\nEntrants are then given training data and development (dev) test data along with a baseline system that represents the current state-of-the-art. You can find a post and video on the current thinking on the baseline here. We\u2019re still working on the rules stipulating what is and what is not allowed (for example, will entrants be allowed to use data from outside the challenge).\\n\\nClarity\u2019s first enhancement challenge is focussed on maximising the speech intelligibility (SI) score. We will evaluate this first through a prediciton model that is based on a hearing loss simulation and an objective metric for speech intellibility. Simulation has been hugely important for generating training data in the [CHIME challenges](https://chimechallenge.github.io/chime6/) and so we intend to use that approach in Clarity. But results from simulated test sets cannot be trusted and hence a second evaluation will come through perceptual tests on hearing impaired subjects. However, one of our current problems is that we can\u2019t bring listeners into our labs because of COVID-19.\\n\\nWe\u2019ll actually be running two challenges in roughly parallel, because we\u2019re also going to task the community to improve our prediction model for speech intelligibility.\\n\\nWe\u2019re running a series of challenges over five years. What other scenarios should we consider? What speech? What noise? What environment? Please comment below.\\n\\n## Acknowledgements\\n\\nMuch of this text is based on [Jon Barker\u2019s 2020 SPIN keynote](http://2020.speech-in-noise.eu/?p=3)"},{"id":"The baseline","metadata":{"permalink":"/blog/The baseline","source":"@site/blog/2020-04-29-the-baseline.mdx","title":"The baseline","description":"An overview of the current state of the baseline we\u2019re developing for the machine learning challenges","date":"2020-04-29T00:00:00.000Z","formattedDate":"April 29, 2020","tags":[{"label":"baseline","permalink":"/blog/tags/baseline"},{"label":"enhancement","permalink":"/blog/tags/enhancement"},{"label":"processing","permalink":"/blog/tags/processing"}],"readingTime":0.78,"hasTruncateMarker":false,"authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"frontMatter":{"slug":"The baseline","title":"The baseline","authors":[{"name":"Trevor Cox","title":"Clarity Team Member","url":"http://trevorcox.me/trevor-cox","image_url":"https://avatars.githubusercontent.com/trevorjcox","imageURL":"https://avatars.githubusercontent.com/trevorjcox"}],"tags":["baseline","enhancement","processing"]},"unlisted":false,"prevItem":{"title":"Why use machine learning challenges for hearing aids?","permalink":"/blog/Why use machine learning challenges for hearing aids"},"nextItem":{"title":"Welcome","permalink":"/blog/welcome"}},"content":"An overview of the current state of the baseline we\u2019re developing for the machine learning challenges\\n\\n![The baseline](/img/baseline-1536x684.png)\\n\\nWe\u2019re currently developing the baseline processing that challenge entrants will need. This takes a random listener and a random audio sample of speech in noise (SPIN) and passes that through a simulated hearing aid (the Enhancement Model). This improves the speech in noise. We then have an algorithm (the Prediction Model) to estimate the Speech Intelligibility that the listener would perceive (SI score). This score can then be used to drive machine learning to improve the hearing aid.\\n\\n<iframe width=\\"560\\" height=\\"315\\" src=\\"https://www.youtube.com/embed/I1v8_TmXkeA\\" title=\\"YouTube video player\\" frameborder=\\"0\\" allow=\\"accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture\\" allowfullscreen></iframe>\\n\\n*A talk through the baseline model we\u2019re developing.*\\n\\nThe first machine learning challenge is to improve the enhancement model, in other words, to produce a better processing algorithm for the hearing aid. The second challenge is to improve the prediction model using perceptual data we\u2019ll provide."},{"id":"welcome","metadata":{"permalink":"/blog/welcome","source":"@site/blog/2020-04-28-welcome.mdx","title":"Welcome","description":"Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems.","date":"2020-04-28T00:00:00.000Z","formattedDate":"April 28, 2020","tags":[{"label":"clarity","permalink":"/blog/tags/clarity"},{"label":"hello","permalink":"/blog/tags/hello"},{"label":"CEC1","permalink":"/blog/tags/cec-1"}],"readingTime":0.19,"hasTruncateMarker":false,"authors":[{"name":"Jon Barker","title":"Clarity Team Member","url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","imageURL":"https://avatars.githubusercontent.com/jonbarker68"}],"frontMatter":{"slug":"welcome","title":"Welcome","author":"Jon Barker","author_title":"Clarity Team Member","author_url":"http://staffwww.dcs.shef.ac.uk/people/J.Barker/","author_image_url":"https://avatars.githubusercontent.com/jonbarker68","tags":["clarity","hello","CEC1"]},"unlisted":false,"prevItem":{"title":"The baseline","permalink":"/blog/The baseline"}},"content":"Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems."}]}')}}]); \ No newline at end of file diff --git a/assets/js/b485afa3.59e4f054.js b/assets/js/b485afa3.59e4f054.js deleted file mode 100644 index 387379dea..000000000 --- a/assets/js/b485afa3.59e4f054.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[3615],{90196:(e,t,i)=>{i.r(t),i.d(t,{assets:()=>c,contentTitle:()=>n,default:()=>d,frontMatter:()=>a,metadata:()=>o,toc:()=>l});var s=i(85893),r=i(11151);const a={id:"icassp2023_registration",title:"ICASSP 2023 Clarity Grand Challenge Registration",sidebar_label:"Registration",sidebar_position:2},n=void 0,o={id:"icassp2023/taking_part/icassp2023_registration",title:"ICASSP 2023 Clarity Grand Challenge Registration",description:"Teams are required to register using the form below. 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For a machine learning algorithm to learn new ways of processing audio for the hearing impaired, it needs to estimate how the sound will be degraded by any hearing loss. Hence, we need an algorithm to simulate hearing loss for each of our listeners. The diagram belows shows our draft baseline system that was detailed in a previous blog. The hearing loss simulation is part of the prediction model. The Enhancement Model to the left is effectively the hearing aid and the Prediction Model to the right is estimating how someone will perceive the intelligibility of the speech in noise."}),"\n",(0,o.jsx)(i.p,{children:(0,o.jsx)(i.img,{alt:"baseline",src:t(84942).Z+"",width:"1536",height:"684"})}),"\n",(0,o.jsx)(i.p,{children:"The draft baseline system (where SPIN is speech in noise, DRC is Dynamic Range Compression, HL is Hearing Loss, SI is Speech Intelligibility and L & R are Left and Right)."}),"\n",(0,o.jsxs)(i.p,{children:["There are different causes of hearing loss, but we\u2019re concentrating on the most common type that happens when you age (",(0,o.jsx)(i.a,{href:"https://www.nhs.uk/conditions/hearing-loss/",children:"presbycusis"}),"). ",(0,o.jsx)(i.a,{href:"https://rnid.org.uk/",children:"RNID"})," (formerly Action on Hearing Loss) estimate that more than 40% of people over the age of 50 have a hearing loss, and this rises to 70% of people who are older than 70."]}),"\n",(0,o.jsx)(i.p,{children:"The aspects of hearing loss we\u2019ve decided to simulate are"}),"\n",(0,o.jsxs)(i.ol,{children:["\n",(0,o.jsx)(i.li,{children:"The loss of ability to sense the quietest sounds (increase in absolute threshold)."}),"\n",(0,o.jsx)(i.li,{children:"How as an audible sound increases in level, the perceived increase in loudness is greater than normal (loudness recruitment) (Moore et al. 1996)."}),"\n",(0,o.jsx)(i.li,{children:"How the ear has a poorer ability to discriminate the frequency of sounds (impaired frequency selectivity)."}),"\n"]}),"\n","\n",(0,o.jsx)(i.h2,{id:"audio-examples-of-hearing-loss",children:"Audio examples of hearing loss"}),"\n",(0,o.jsx)(i.p,{children:"Here are two samples of speech in noise processed through the simulator. In each audio example there are three versions of the same sentence:"}),"\n",(0,o.jsxs)(i.ol,{children:["\n",(0,o.jsx)(i.li,{children:"Unimpaired hearing"}),"\n",(0,o.jsx)(i.li,{children:"Mild hearing impairment"}),"\n",(0,o.jsx)(i.li,{children:"Moderate to severe hearing impairment"}),"\n"]}),"\n",(0,o.jsx)(i.p,{children:"0 dB signal to noise ratio"}),"\n",(0,o.jsxs)("audio",{controls:!0,children:[(0,o.jsx)("source",{src:"/audio/spin_example.wav",type:"audio/wav"}),(0,o.jsx)(i.p,{children:"Your browser does not support the audio element."})]}),"\n",(0,o.jsx)(i.p,{children:"And here is an example where the noise is louder:"}),"\n",(0,o.jsxs)("audio",{controls:!0,children:[(0,o.jsx)("source",{src:"/audio/spin_example-10SNR.wav",type:"audio/wav"}),(0,o.jsx)(i.p,{children:"Your browser does not support the audio element."})]}),"\n",(0,o.jsx)(i.p,{children:"Noisier: -10dB signal to noise ratio"}),"\n",(0,o.jsx)(i.h2,{id:"acknowledgements",children:"Acknowledgements"}),"\n",(0,o.jsxs)(i.p,{children:["The hearing loss model we\u2019re using was generously supplied by ",(0,o.jsx)(i.a,{href:"https://www.research.manchester.ac.uk/portal/michael.stone.html",children:"Michael Stone at the University of Manchester"})," as MATLAB code and translated by us into Python. The original code was written by members of the Auditory Perception Group at the University of Cambridge, ca. 1991-2013, including Michael Stone, Brian Moore, Brian Glasberg and Thomas Baer. Information about the model can be found primarily in Nejime and Moore (1997), but also in Nejime and Moore (1998), Baer and Moore (1993 and 1994), and Moore and Glasberg (1993)."]}),"\n",(0,o.jsx)(i.p,{children:"The original speech recordings come from the ARU corpus, University of Liverpool (Hopkins et al. 2019). This corpus is freely available at the link in the reference below."}),"\n",(0,o.jsx)(i.h2,{id:"references",children:"References"}),"\n",(0,o.jsxs)(i.ul,{children:["\n",(0,o.jsxs)(i.li,{children:["Baer, T., & Moore, B. C. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 94(3), 1229-1241."]}),"\n",(0,o.jsxs)(i.li,{children:["Baer, T., & Moore, B. C. (1994). Effects of spectral smearing on the intelligibility of sentences in the presence of interfering speech. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 95(4), 2277-2280."]}),"\n",(0,o.jsxs)(i.li,{children:["Hopkins, C., Graetzer, S., & Seiffert, G. (2019). ARU adult British English speaker corpus of IEEE sentences (ARU speech corpus) version 1.0 [data collection]. Acoustics Research Unit, School of Architecture, University of Liverpool, United Kingdom. DOI: 10.17638/datacat.liverpool.ac.uk/681. Retrieved from ",(0,o.jsx)(i.a,{href:"http://datacat.liverpool.ac.uk/681/",children:"http://datacat.liverpool.ac.uk/681/"}),"."]}),"\n",(0,o.jsxs)(i.li,{children:["Moore, B. C., & Glasberg, B. R. (1993). Simulation of the effects of loudness recruitment and threshold elevation on the intelligibility of speech in quiet and in a background of speech. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 94(4), 2050-2062."]}),"\n",(0,o.jsxs)(i.li,{children:["Moore, B. C., Glasberg, B. R., & Vickers, D. A. (1996). Factors influencing loudness perception in people with cochlear hearing loss. B. Kollmeier, ",(0,o.jsx)(i.em,{children:"World Scientific"}),", Singapore, 7-18."]}),"\n",(0,o.jsxs)(i.li,{children:["Nejime, Y., & Moore, B. C. (1997). Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 102(1), 603-615."]}),"\n",(0,o.jsxs)(i.li,{children:["Nejime, Y., & Moore, B. C. (1998). Evaluation of the effect of speech-rate slowing on speech intelligibility in noise using a simulation of cochlear hearing loss. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 103(1), 572-576."]}),"\n"]})]})}function u(e={}){const{wrapper:i}={...(0,s.a)(),...e.components};return i?(0,o.jsx)(i,{...e,children:(0,o.jsx)(c,{...e})}):c(e)}},84942:(e,i,t)=>{t.d(i,{Z:()=>o});const o=t.p+"assets/images/baseline-1536x684-6a47c3181c95392a5977f1fd51b82c3c.png"},11151:(e,i,t)=>{t.d(i,{Z:()=>a,a:()=>r});var o=t(67294);const s={},n=o.createContext(s);function r(e){const i=o.useContext(n);return o.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function a(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),o.createElement(n.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/b5248a09.ff4c9a86.js b/assets/js/b5248a09.ff4c9a86.js new file mode 100644 index 000000000..cadc2e642 --- /dev/null +++ b/assets/js/b5248a09.ff4c9a86.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[542],{52764:(e,i,t)=>{t.r(i),t.d(i,{assets:()=>l,contentTitle:()=>r,default:()=>u,frontMatter:()=>n,metadata:()=>a,toc:()=>c});var o=t(17624),s=t(4552);const n={slug:"Hearing loss simulation",title:"Hearing loss simulation",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox"},{name:"Simone Graetzer",title:"Clarity Team Member",url:"https://www.salford.ac.uk/our-staff/simone-graetzer",image_url:"https://avatars.githubusercontent.com/sgraetzer"}],tags:["baseline","hearing loss simulation"]},r=void 0,a={permalink:"/blog/Hearing loss simulation",source:"@site/blog/2020-06-23-hearing-loss-simulation.mdx",title:"Hearing loss simulation",description:"What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss.",date:"2020-06-23T00:00:00.000Z",formattedDate:"June 23, 2020",tags:[{label:"baseline",permalink:"/blog/tags/baseline"},{label:"hearing loss simulation",permalink:"/blog/tags/hearing-loss-simulation"}],readingTime:3.75,hasTruncateMarker:!0,authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"},{name:"Simone Graetzer",title:"Clarity Team Member",url:"https://www.salford.ac.uk/our-staff/simone-graetzer",image_url:"https://avatars.githubusercontent.com/sgraetzer",imageURL:"https://avatars.githubusercontent.com/sgraetzer"}],frontMatter:{slug:"Hearing loss simulation",title:"Hearing loss simulation",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"},{name:"Simone Graetzer",title:"Clarity Team Member",url:"https://www.salford.ac.uk/our-staff/simone-graetzer",image_url:"https://avatars.githubusercontent.com/sgraetzer",imageURL:"https://avatars.githubusercontent.com/sgraetzer"}],tags:["baseline","hearing loss simulation"]},unlisted:!1,prevItem:{title:"The speech-in-noise problem part two",permalink:"/blog/The speech-in-noise problem part two"},nextItem:{title:"Sounds for round one",permalink:"/blog/Sounds"}},l={authorsImageUrls:[void 0,void 0]},c=[{value:"Audio examples of hearing loss",id:"audio-examples-of-hearing-loss",level:2},{value:"Acknowledgements",id:"acknowledgements",level:2},{value:"References",id:"references",level:2}];function h(e){const i={a:"a",em:"em",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",ul:"ul",...(0,s.M)(),...e.components};return(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)(i.p,{children:"What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss."}),"\n",(0,o.jsx)(i.p,{children:"Our challenge entrants are going to use machine learning to develop better processing of speech in noise (SPIN) for hearing aids. For a machine learning algorithm to learn new ways of processing audio for the hearing impaired, it needs to estimate how the sound will be degraded by any hearing loss. Hence, we need an algorithm to simulate hearing loss for each of our listeners. The diagram belows shows our draft baseline system that was detailed in a previous blog. The hearing loss simulation is part of the prediction model. The Enhancement Model to the left is effectively the hearing aid and the Prediction Model to the right is estimating how someone will perceive the intelligibility of the speech in noise."}),"\n",(0,o.jsx)(i.p,{children:(0,o.jsx)(i.img,{alt:"baseline",src:t(2064).c+"",width:"1536",height:"684"})}),"\n",(0,o.jsx)(i.p,{children:"The draft baseline system (where SPIN is speech in noise, DRC is Dynamic Range Compression, HL is Hearing Loss, SI is Speech Intelligibility and L & R are Left and Right)."}),"\n",(0,o.jsxs)(i.p,{children:["There are different causes of hearing loss, but we\u2019re concentrating on the most common type that happens when you age (",(0,o.jsx)(i.a,{href:"https://www.nhs.uk/conditions/hearing-loss/",children:"presbycusis"}),"). ",(0,o.jsx)(i.a,{href:"https://rnid.org.uk/",children:"RNID"})," (formerly Action on Hearing Loss) estimate that more than 40% of people over the age of 50 have a hearing loss, and this rises to 70% of people who are older than 70."]}),"\n",(0,o.jsx)(i.p,{children:"The aspects of hearing loss we\u2019ve decided to simulate are"}),"\n",(0,o.jsxs)(i.ol,{children:["\n",(0,o.jsx)(i.li,{children:"The loss of ability to sense the quietest sounds (increase in absolute threshold)."}),"\n",(0,o.jsx)(i.li,{children:"How as an audible sound increases in level, the perceived increase in loudness is greater than normal (loudness recruitment) (Moore et al. 1996)."}),"\n",(0,o.jsx)(i.li,{children:"How the ear has a poorer ability to discriminate the frequency of sounds (impaired frequency selectivity)."}),"\n"]}),"\n","\n",(0,o.jsx)(i.h2,{id:"audio-examples-of-hearing-loss",children:"Audio examples of hearing loss"}),"\n",(0,o.jsx)(i.p,{children:"Here are two samples of speech in noise processed through the simulator. In each audio example there are three versions of the same sentence:"}),"\n",(0,o.jsxs)(i.ol,{children:["\n",(0,o.jsx)(i.li,{children:"Unimpaired hearing"}),"\n",(0,o.jsx)(i.li,{children:"Mild hearing impairment"}),"\n",(0,o.jsx)(i.li,{children:"Moderate to severe hearing impairment"}),"\n"]}),"\n",(0,o.jsx)(i.p,{children:"0 dB signal to noise ratio"}),"\n",(0,o.jsxs)("audio",{controls:!0,children:[(0,o.jsx)("source",{src:"/audio/spin_example.wav",type:"audio/wav"}),(0,o.jsx)(i.p,{children:"Your browser does not support the audio element."})]}),"\n",(0,o.jsx)(i.p,{children:"And here is an example where the noise is louder:"}),"\n",(0,o.jsxs)("audio",{controls:!0,children:[(0,o.jsx)("source",{src:"/audio/spin_example-10SNR.wav",type:"audio/wav"}),(0,o.jsx)(i.p,{children:"Your browser does not support the audio element."})]}),"\n",(0,o.jsx)(i.p,{children:"Noisier: -10dB signal to noise ratio"}),"\n",(0,o.jsx)(i.h2,{id:"acknowledgements",children:"Acknowledgements"}),"\n",(0,o.jsxs)(i.p,{children:["The hearing loss model we\u2019re using was generously supplied by ",(0,o.jsx)(i.a,{href:"https://www.research.manchester.ac.uk/portal/michael.stone.html",children:"Michael Stone at the University of Manchester"})," as MATLAB code and translated by us into Python. The original code was written by members of the Auditory Perception Group at the University of Cambridge, ca. 1991-2013, including Michael Stone, Brian Moore, Brian Glasberg and Thomas Baer. Information about the model can be found primarily in Nejime and Moore (1997), but also in Nejime and Moore (1998), Baer and Moore (1993 and 1994), and Moore and Glasberg (1993)."]}),"\n",(0,o.jsx)(i.p,{children:"The original speech recordings come from the ARU corpus, University of Liverpool (Hopkins et al. 2019). This corpus is freely available at the link in the reference below."}),"\n",(0,o.jsx)(i.h2,{id:"references",children:"References"}),"\n",(0,o.jsxs)(i.ul,{children:["\n",(0,o.jsxs)(i.li,{children:["Baer, T., & Moore, B. C. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 94(3), 1229-1241."]}),"\n",(0,o.jsxs)(i.li,{children:["Baer, T., & Moore, B. C. (1994). Effects of spectral smearing on the intelligibility of sentences in the presence of interfering speech. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 95(4), 2277-2280."]}),"\n",(0,o.jsxs)(i.li,{children:["Hopkins, C., Graetzer, S., & Seiffert, G. (2019). ARU adult British English speaker corpus of IEEE sentences (ARU speech corpus) version 1.0 [data collection]. Acoustics Research Unit, School of Architecture, University of Liverpool, United Kingdom. DOI: 10.17638/datacat.liverpool.ac.uk/681. Retrieved from ",(0,o.jsx)(i.a,{href:"http://datacat.liverpool.ac.uk/681/",children:"http://datacat.liverpool.ac.uk/681/"}),"."]}),"\n",(0,o.jsxs)(i.li,{children:["Moore, B. C., & Glasberg, B. R. (1993). Simulation of the effects of loudness recruitment and threshold elevation on the intelligibility of speech in quiet and in a background of speech. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 94(4), 2050-2062."]}),"\n",(0,o.jsxs)(i.li,{children:["Moore, B. C., Glasberg, B. R., & Vickers, D. A. (1996). Factors influencing loudness perception in people with cochlear hearing loss. B. Kollmeier, ",(0,o.jsx)(i.em,{children:"World Scientific"}),", Singapore, 7-18."]}),"\n",(0,o.jsxs)(i.li,{children:["Nejime, Y., & Moore, B. C. (1997). Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 102(1), 603-615."]}),"\n",(0,o.jsxs)(i.li,{children:["Nejime, Y., & Moore, B. C. (1998). Evaluation of the effect of speech-rate slowing on speech intelligibility in noise using a simulation of cochlear hearing loss. ",(0,o.jsx)(i.em,{children:"The Journal of the Acoustical Society of America"}),", 103(1), 572-576."]}),"\n"]})]})}function u(e={}){const{wrapper:i}={...(0,s.M)(),...e.components};return i?(0,o.jsx)(i,{...e,children:(0,o.jsx)(h,{...e})}):h(e)}},2064:(e,i,t)=>{t.d(i,{c:()=>o});const o=t.p+"assets/images/baseline-1536x684-6a47c3181c95392a5977f1fd51b82c3c.png"},4552:(e,i,t)=>{t.d(i,{I:()=>a,M:()=>r});var o=t(11504);const s={},n=o.createContext(s);function r(e){const i=o.useContext(n);return o.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function a(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),o.createElement(n.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/b8977a7b.21b2f518.js b/assets/js/b8977a7b.21b2f518.js new file mode 100644 index 000000000..b790dafd6 --- /dev/null +++ b/assets/js/b8977a7b.21b2f518.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[4372],{32560:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>s,contentTitle:()=>o,default:()=>d,frontMatter:()=>a,metadata:()=>l,toc:()=>c});var t=i(17624),r=i(4552);const a={slug:"Clarity Challenge pre-announcement",title:"Clarity Challenge pre-announcement",author:"Trevor Cox",author_title:"Clarity Team Member",author_url:"http://trevorcox.me/trevor-cox",author_image_url:"https://avatars.githubusercontent.com/trevorjcox",tags:["CEC1"]},o=void 0,l={permalink:"/blog/Clarity Challenge pre-announcement",source:"@site/blog/2020-11-24-clarity-challenge-pre-announcement.mdx",title:"Clarity Challenge pre-announcement",description:"Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don\u2019t use them. A key reason is simply that hearing aids don\u2019t provide enough benefit.",date:"2020-11-24T00:00:00.000Z",formattedDate:"November 24, 2020",tags:[{label:"CEC1",permalink:"/blog/tags/cec-1"}],readingTime:2.975,hasTruncateMarker:!0,authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"Clarity Challenge pre-announcement",title:"Clarity Challenge pre-announcement",author:"Trevor Cox",author_title:"Clarity Team Member",author_url:"http://trevorcox.me/trevor-cox",author_image_url:"https://avatars.githubusercontent.com/trevorjcox",tags:["CEC1"]},unlisted:!1,prevItem:{title:"Latency, computation time and real-time operation",permalink:"/blog/Latency, computation time and real-time operation"},nextItem:{title:"One approach to our enhancement challenge",permalink:"/blog/One approach to our enhancement challenge"}},s={authorsImageUrls:[void 0]},c=[{value:"The Task",id:"the-task",level:2},{value:"What will be provided",id:"what-will-be-provided",level:2},{value:"Important Dates",id:"important-dates",level:2},{value:"Further information",id:"further-information",level:2},{value:"Organisers",id:"organisers",level:2},{value:"Acknowledgement",id:"acknowledgement",level:2}];function h(e){const n={a:"a",h2:"h2",img:"img",li:"li",p:"p",ul:"ul",...(0,r.M)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.p,{children:"Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don\u2019t use them. A key reason is simply that hearing aids don\u2019t provide enough benefit."}),"\n",(0,t.jsx)(n.p,{children:"Picking out speech from background noise is a critical problem even for the most sophisticated devices. The purpose of the Clarity Challenges is to catalyse new work to radically improve the speech intelligibility provided by hearing aids."}),"\n",(0,t.jsx)(n.p,{children:"The series of challenges will consider increasingly complex listening scenarios. The first round, launching in January 2021, will focus on speech in indoor environments in the presence of a single interferer. It will begin with a challenge involving improving hearing aid processing. Future challenges on how to model speech-in-noise perception will be launched at a later date."}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.img,{alt:"Person using tablet",src:i(96036).c+"",width:"1536",height:"1024"})}),"\n","\n",(0,t.jsx)(n.h2,{id:"the-task",children:"The Task"}),"\n",(0,t.jsx)(n.p,{children:"You will be provided with simulated scenes, each including a target speaker and interfering noise. For each scene, there will be signals that simulate those captured by a behind-the-ear hearing aid with three channels at each ear and those captured at the eardrum without a hearing aid present. The target speech will be a short sentence and the interfering noise will be either speech or domestic appliance noise."}),"\n",(0,t.jsx)(n.p,{children:"The task will be to deliver a hearing aid signal processing algorithm that can improve the intelligibility of the target speaker for a specified hearing-impaired listener. Initially, entries will be evaluated using an objective speech intelligibility measure we will provide. Subsequently, up to twenty of the most promising systems will be evaluated by a panel of listeners."}),"\n",(0,t.jsx)(n.p,{children:"We will provide a baseline system so that teams can choose to focus on individual components or to develop their own complete pipelines."}),"\n",(0,t.jsx)(n.h2,{id:"what-will-be-provided",children:"What will be provided"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Evaluation of the best entries by a panel of hearing-impaired listeners."}),"\n",(0,t.jsx)(n.li,{children:"Speech + interferer scenes for training and evaluation."}),"\n",(0,t.jsx)(n.li,{children:"An entirely new database of 10,000 spoken sentences"}),"\n",(0,t.jsx)(n.li,{children:"Listener characterisations including audiograms and speech-in-noise testing."}),"\n",(0,t.jsx)(n.li,{children:"Software including tools for generating training data, a baseline hearing aid algorithm, a baseline model of hearing impairment, and a binaural objective intelligibility measure."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"important-dates",children:"Important Dates"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"January 2021 \u2013 Challenge launch and release of software and data"}),"\n",(0,t.jsx)(n.li,{children:"April 2021 \u2013 Evaluation data released"}),"\n",(0,t.jsx)(n.li,{children:"May 2021 \u2013 Submission deadline"}),"\n",(0,t.jsx)(n.li,{children:"June-August 2021 \u2013 Listening test evaluation period"}),"\n",(0,t.jsx)(n.li,{children:"September 2021 \u2013 Results announced at a Clarity Challenge Workshop in conjunction with Interspeech 2021"}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Challenge and workshop participants will be invited to contribute to a journal Special Issue on the topic of Machine Learning for Hearing Aid Processing that will be announced next year."}),"\n",(0,t.jsx)(n.h2,{id:"further-information",children:"Further information"}),"\n",(0,t.jsx)(n.p,{children:"If you are interested in participating and wish to receive further information, please sign up."}),"\n",(0,t.jsxs)(n.p,{children:["If you have questions, contact us directly at ",(0,t.jsx)(n.a,{href:"mailto:contact@claritychallenge.org",children:"contact@claritychallenge.org"})]}),"\n",(0,t.jsx)(n.h2,{id:"organisers",children:"Organisers"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Prof. Jon P. Barker, Department of Computer Science, University of Sheffield"}),"\n",(0,t.jsx)(n.li,{children:"Prof. Michael A. Akeroyd, Hearing Sciences, School of Medicine, University of Nottingham"}),"\n",(0,t.jsx)(n.li,{children:"Prof. Trevor J. Cox, Acoustics Research Centre, University of Salford"}),"\n",(0,t.jsx)(n.li,{children:"Prof. John F. Culling, School of Psychology, Cardiff University"}),"\n",(0,t.jsx)(n.li,{children:"Prof. Graham Naylor, Hearing Sciences, School of Medicine, University of Nottingham"}),"\n",(0,t.jsx)(n.li,{children:"Dr Simone Graetzer, Acoustics Research Centre, University of Salford"}),"\n",(0,t.jsx)(n.li,{children:"Dr Rhoddy Viveros Mu\xf1oz, School of Psychology, Cardiff University"}),"\n",(0,t.jsx)(n.li,{children:"Eszter Porter, Hearing Sciences, School of Medicine, University of Nottingham"}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK."}),"\n",(0,t.jsx)(n.p,{children:"Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research, Honda Research Institute Europe."}),"\n",(0,t.jsx)(n.h2,{id:"acknowledgement",children:"Acknowledgement"}),"\n",(0,t.jsx)(n.p,{children:"The image copyright is owned by the University of Nottingham."})]})}function d(e={}){const{wrapper:n}={...(0,r.M)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(h,{...e})}):h(e)}},96036:(e,n,i)=>{i.d(n,{c:()=>t});const t=i.p+"assets/images/UoN_HS-08207-1536x1024-6d25ed2333ce62f5847f0c031a89d19e.jpeg"},4552:(e,n,i)=>{i.d(n,{I:()=>l,M:()=>o});var t=i(11504);const r={},a=t.createContext(r);function o(e){const n=t.useContext(a);return t.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:o(e.components),t.createElement(a.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/b8977a7b.43e4efbf.js b/assets/js/b8977a7b.43e4efbf.js deleted file mode 100644 index 9d89c72f5..000000000 --- a/assets/js/b8977a7b.43e4efbf.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[2056],{48880:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>s,contentTitle:()=>o,default:()=>d,frontMatter:()=>a,metadata:()=>l,toc:()=>c});var t=i(85893),r=i(11151);const a={slug:"Clarity Challenge pre-announcement",title:"Clarity Challenge pre-announcement",author:"Trevor Cox",author_title:"Clarity Team Member",author_url:"http://trevorcox.me/trevor-cox",author_image_url:"https://avatars.githubusercontent.com/trevorjcox",tags:["CEC1"]},o=void 0,l={permalink:"/blog/Clarity Challenge pre-announcement",source:"@site/blog/2020-11-24-clarity-challenge-pre-announcement.mdx",title:"Clarity Challenge pre-announcement",description:"Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don\u2019t use them. 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A key reason is simply that hearing aids don\u2019t provide enough benefit."}),"\n",(0,t.jsx)(n.p,{children:"Picking out speech from background noise is a critical problem even for the most sophisticated devices. The purpose of the Clarity Challenges is to catalyse new work to radically improve the speech intelligibility provided by hearing aids."}),"\n",(0,t.jsx)(n.p,{children:"The series of challenges will consider increasingly complex listening scenarios. The first round, launching in January 2021, will focus on speech in indoor environments in the presence of a single interferer. It will begin with a challenge involving improving hearing aid processing. Future challenges on how to model speech-in-noise perception will be launched at a later date."}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.img,{alt:"Person using tablet",src:i(90566).Z+"",width:"1536",height:"1024"})}),"\n","\n",(0,t.jsx)(n.h2,{id:"the-task",children:"The Task"}),"\n",(0,t.jsx)(n.p,{children:"You will be provided with simulated scenes, each including a target speaker and interfering noise. For each scene, there will be signals that simulate those captured by a behind-the-ear hearing aid with three channels at each ear and those captured at the eardrum without a hearing aid present. The target speech will be a short sentence and the interfering noise will be either speech or domestic appliance noise."}),"\n",(0,t.jsx)(n.p,{children:"The task will be to deliver a hearing aid signal processing algorithm that can improve the intelligibility of the target speaker for a specified hearing-impaired listener. 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\ No newline at end of file diff --git a/assets/js/b965b41c.83ea6907.js b/assets/js/b965b41c.83ea6907.js deleted file mode 100644 index cba4a99a1..000000000 --- a/assets/js/b965b41c.83ea6907.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6862],{93606:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>o,contentTitle:()=>s,default:()=>d,frontMatter:()=>a,metadata:()=>l,toc:()=>c});var t=i(85893),r=i(11151);const a={slug:"Clarity-2023 Workshop @ Interspeech, Dublin",title:"Clarity-2023 Workshop @ Interspeech, Dublin",author:"Jon Barker",author_title:"Clarity Team Member",author_url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",author_image_url:"https://avatars.githubusercontent.com/jonbarker68",tags:["clarity","announcement","CPC2"]},s=void 0,l={permalink:"/blog/Clarity-2023 Workshop @ Interspeech, Dublin",source:"@site/blog/2023-06-21-clarity-2023-workshop.mdx",title:"Clarity-2023 Workshop @ Interspeech, Dublin",description:"We are pleased to announce the 4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023).",date:"2023-06-21T00:00:00.000Z",formattedDate:"June 21, 2023",tags:[{label:"clarity",permalink:"/blog/tags/clarity"},{label:"announcement",permalink:"/blog/tags/announcement"},{label:"CPC2",permalink:"/blog/tags/cpc-2"}],readingTime:2.52,hasTruncateMarker:!1,authors:[{name:"Jon Barker",title:"Clarity Team Member",url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",imageURL:"https://avatars.githubusercontent.com/jonbarker68"}],frontMatter:{slug:"Clarity-2023 Workshop @ Interspeech, Dublin",title:"Clarity-2023 Workshop @ Interspeech, Dublin",author:"Jon Barker",author_title:"Clarity Team Member",author_url:"http://staffwww.dcs.shef.ac.uk/people/J.Barker/",author_image_url:"https://avatars.githubusercontent.com/jonbarker68",tags:["clarity","announcement","CPC2"]},unlisted:!1,prevItem:{title:"CPC2 eval data released",permalink:"/blog/CPC2 eval data released"},nextItem:{title:"Announcing the 2nd Clarity Prediction Challenge (CPC2)",permalink:"/blog/Announcing CPC2"}},o={authorsImageUrls:[void 0]},c=[];function h(e){const n={a:"a",li:"li",p:"p",strong:"strong",ul:"ul",...(0,r.a)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsxs)(n.p,{children:["We are pleased to announce the ",(0,t.jsx)(n.strong,{children:"4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023)"}),"."]}),"\n",(0,t.jsx)(n.p,{children:"The event will be a one-day workshop held as an ISCA satellite event to Interspeech 2023 in Dublin, Ireland."}),"\n",(0,t.jsx)(n.p,{children:"For registration and programme details please visit the workshop website"}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.a,{href:"https://claritychallenge.github.io/clarity2023-workshop/",children:"https://claritychallenge.github.io/clarity2023-workshop/"})}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"IMPORTANT DATES"})}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"2nd June 2023 - Workshop Submission Deadline (Regular Papers)"}),"\n",(0,t.jsx)(n.li,{children:"31st July 2023 - Workshop Submission Deadline (Clarity Challenge Papers)"}),"\n",(0,t.jsx)(n.li,{children:"5th August 2023 - Registration closes"}),"\n",(0,t.jsx)(n.li,{children:"19th August - Workshop / Clarity Challenge results announced"}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"About"})}),"\n",(0,t.jsx)(n.p,{children:"One of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. The inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss."}),"\n",(0,t.jsx)(n.p,{children:"The Clarity workshops are designed to stimulate a two-way conversation between the speech research community and hearing aid developers. 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It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models."]}),"\n",(0,s.jsx)(i.p,{children:"Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener."}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-measured-with-listeners",children:"How is Speech Intelligibility measured with listeners?"}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence."}),"\n",(0,s.jsxs)(i.p,{children:["You might consider looking at ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S1877050918302187",children:"other metrics"}),", such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project."]}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",children:"How is Speech Intelligibility objectively measured by a computer?"}),"\n",(0,s.jsx)(i.p,{children:"When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals."}),"\n",(0,s.jsx)(i.p,{children:"Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal."}),"\n",(0,s.jsx)(i.li,{children:"Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone."}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(51746).Z+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(58150).Z+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(a.Z,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids."})}),"\n",(0,s.jsx)(i.h2,{id:"hearing-loss",children:"Hearing Loss"}),"\n",(0,s.jsxs)(i.p,{children:["There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of ",(0,s.jsx)(i.a,{href:"https://rnid.org.uk/information-and-support/hearing-loss/types-of-hearing-loss-and-deafness/",children:"sensorineural hearing loss"}),"."]}),"\n",(0,s.jsx)(i.h3,{id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",children:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?"}),"\n",(0,s.jsx)(i.p,{children:"In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits."}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/waPONoYrf8Q",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsxs)(a.Z,{children:[(0,s.jsx)("summary",{children:"Click arrow to see synposis."}),(0,s.jsx)("div",{children:(0,s.jsxs)(i.p,{children:["Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/en/definition/suprathreshold",children:"suprathreshold"})," deficits remain. The most common type of hearing loss is a ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/definition/cochlear",children:"cochlear"})," hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon."]})})]}),"\n",(0,s.jsx)(i.h2,{id:"prediction-model",children:"Prediction model"}),"\n",(0,s.jsx)(i.h3,{id:"do-i-have-to-use-a-separate-hearing-loss-model",children:"Do I have to use a separate hearing loss model?"}),"\n",(0,s.jsx)(i.p,{children:"No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception."}),"\n",(0,s.jsx)(i.h3,{id:"what-should-the-output-of-my-prediction-model-be",children:"What should the output of my prediction model be?"}),"\n",(0,s.jsx)(i.p,{children:"The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal."}),"\n",(0,s.jsx)(i.h2,{id:"data",children:"Data"}),"\n",(0,s.jsx)(i.h3,{id:"do-you-have-suggestions-for-expanding-the-training-data",children:"Do you have suggestions for expanding the training data?"}),"\n",(0,s.jsx)(i.p,{children:"The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://www.fit.vut.cz/person/izmolikova/functions/.en#nav",children:"Katerina Zmolikova"})," has made ",(0,s.jsx)(i.a,{href:"https://github.com/BUTSpeechFIT/torch_msbg_mbstoi",children:"her Pytorch version of the baseline hearing impairment and speech intelligibility model available"}),". Both model fit a neural network framework, are faster but more approximate (see graphs on github)."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://pubmed.ncbi.nlm.nih.gov/29554034/",children:"HASQI and HASPI"})," are quality and speech intelligibility metrics designed to work for people with a hearing impairment. ",(0,s.jsx)(i.a,{href:"../cpc1/taking_part/cpc1_faq/#speech-intelligibility",children:"James Kates explains more about these above"}),". ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(51746).Z+"",children:"MATLAB code HASPI v2 and HASQI v2"})," are available, along with the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(58150).Z+"",children:"user guide"}),"."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://github.com/dhimasryan/STOI-Net",children:"STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model"})," by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is ",(0,s.jsx)(i.a,{href:"http://ah-andersen.net/code/",children:"Asger Heidemann Andersen's MATLAB code"}),"."]}),"\n"]}),"\n",(0,s.jsx)(i.h3,{id:"missing-data",children:"Missing data"}),"\n",(0,s.jsx)(i.p,{children:"We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with."}),"\n",(0,s.jsxs)(i.ol,{children:["\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsx)(i.p,{children:"One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss."}),"\n"]}),"\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsxs)(i.p,{children:["Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, ",(0,s.jsx)(i.a,{href:"https://towardsdatascience.com/all-about-missing-data-handling-b94b8b5d2184",children:"e.g. towards data science"})," discussing different approaches."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'."}),"\n",(0,s.jsx)(i.p,{children:"One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable."}),"\n",(0,s.jsxs)(i.p,{children:["A more sophisticated approach is to fill gaps in data via ",(0,s.jsx)(i.em,{children:"imputation"})," i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data."]})]})}function p(e={}){const{wrapper:i}={...(0,n.a)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},34673:(e,i,t)=>{t.d(i,{Z:()=>f});var s=t(67294),n=t(36905),a=t(788),o=t(28138),r=t(72389),l=t(86043);const h={details:"details_lb9f",isBrowser:"isBrowser_bmU9",collapsibleContent:"collapsibleContent_i85q"};var d=t(85893);function c(e){return!!e&&("SUMMARY"===e.tagName||c(e.parentElement))}function p(e,i){return!!e&&(e===i||p(e.parentElement,i))}function u(e){let{summary:i,children:t,...n}=e;(0,o.Z)().collectAnchor(n.id);const u=(0,r.Z)(),g=(0,s.useRef)(null),{collapsed:m,setCollapsed:f}=(0,l.u)({initialState:!n.open}),[b,y]=(0,s.useState)(n.open),w=s.isValidElement(i)?i:(0,d.jsx)("summary",{children:i??"Details"});return(0,d.jsxs)("details",{...n,ref:g,open:b,"data-collapsed":m,className:(0,a.Z)(h.details,u&&h.isBrowser,n.className),onMouseDown:e=>{c(e.target)&&e.detail>1&&e.preventDefault()},onClick:e=>{e.stopPropagation();const i=e.target;c(i)&&p(i,g.current)&&(e.preventDefault(),m?(f(!1),y(!0)):f(!0))},children:[w,(0,d.jsx)(l.z,{lazy:!1,collapsed:m,disableSSRStyle:!0,onCollapseTransitionEnd:e=>{f(e),y(!e)},children:(0,d.jsx)("div",{className:h.collapsibleContent,children:t})})]})}const g={details:"details_b_Ee"},m="alert alert--info";function f(e){let{...i}=e;return(0,d.jsx)(u,{...i,className:(0,n.Z)(m,g.details,i.className)})}},51746:(e,i,t)=>{t.d(i,{Z:()=>s});const s=t.p+"assets/files/HASPIv2_HASQIv2_HAAQIv1-90688098b8d9e90fdc1ee4516175688c.zip"},58150:(e,i,t)=>{t.d(i,{Z:()=>s});const s=t.p+"assets/files/Users_Guide_ver3-079c55157dae104c506c47dd0bf03565.zip"},11151:(e,i,t)=>{t.d(i,{Z:()=>r,a:()=>o});var s=t(67294);const n={},a=s.createContext(n);function o(e){const i=s.useContext(a);return s.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function r(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(n):e.components||n:o(e.components),s.createElement(a.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/cd4ff1e3.ec88d3bd.js b/assets/js/cd4ff1e3.ec88d3bd.js new file mode 100644 index 000000000..e4e219d53 --- /dev/null +++ b/assets/js/cd4ff1e3.ec88d3bd.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[6028],{71816:(e,i,t)=>{t.r(i),t.d(i,{assets:()=>h,contentTitle:()=>r,default:()=>p,frontMatter:()=>o,metadata:()=>l,toc:()=>d});var s=t(17624),n=t(4552),a=t(22808);const o={id:"learning_intro",title:"Learning"},r=void 0,l={id:"learning/learning_intro",title:"Learning",description:"This pages contains some background information on the topics of speech intelligibility, hearing loss and objective measures.",source:"@site/docs/learning/learning_intro.mdx",sourceDirName:"learning",slug:"/learning/learning_intro",permalink:"/docs/learning/learning_intro",draft:!1,unlisted:!1,tags:[],version:"current",frontMatter:{id:"learning_intro",title:"Learning"}},h={},d=[{value:"Speech Intelligibility",id:"speech-intelligibility",level:2},{value:"What is Speech Intelligibility?",id:"what-is-speech-intelligibility",level:3},{value:"How is Speech Intelligibility measured with listeners?",id:"how-is-speech-intelligibility-measured-with-listeners",level:3},{value:"How is Speech Intelligibility objectively measured by a computer?",id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",level:3},{value:"What speech intelligibility models already exist and what are they used for?",id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",level:3},{value:"Hearing Loss",id:"hearing-loss",level:2},{value:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?",id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",level:3},{value:"Prediction model",id:"prediction-model",level:2},{value:"Do I have to use a separate hearing loss model?",id:"do-i-have-to-use-a-separate-hearing-loss-model",level:3},{value:"What should the output of my prediction model be?",id:"what-should-the-output-of-my-prediction-model-be",level:3},{value:"Data",id:"data",level:2},{value:"Do you have suggestions for expanding the training data?",id:"do-you-have-suggestions-for-expanding-the-training-data",level:3},{value:"Missing data",id:"missing-data",level:3}];function c(e){const i={a:"a",admonition:"admonition",em:"em",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,n.M)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.admonition,{title:"About this page",type:"info",children:(0,s.jsxs)(i.p,{children:["This pages contains some background information on the topics of ",(0,s.jsx)(i.strong,{children:"speech intelligibility"}),", ",(0,s.jsx)(i.strong,{children:"hearing loss"})," and ",(0,s.jsx)(i.strong,{children:"objective measures"}),"."]})}),"\n",(0,s.jsx)(i.h2,{id:"speech-intelligibility",children:"Speech Intelligibility"}),"\n",(0,s.jsx)(i.h3,{id:"what-is-speech-intelligibility",children:"What is Speech Intelligibility?"}),"\n",(0,s.jsxs)(i.p,{children:["The term ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Intelligibility_(communication)",children:"Speech Intelligibility"})," is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models."]}),"\n",(0,s.jsx)(i.p,{children:"Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener."}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-measured-with-listeners",children:"How is Speech Intelligibility measured with listeners?"}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence."}),"\n",(0,s.jsxs)(i.p,{children:["You might consider looking at ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S1877050918302187",children:"other metrics"}),", such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project."]}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",children:"How is Speech Intelligibility objectively measured by a computer?"}),"\n",(0,s.jsx)(i.p,{children:"When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals."}),"\n",(0,s.jsx)(i.p,{children:"Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal."}),"\n",(0,s.jsx)(i.li,{children:"Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone."}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(66636).c+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(96236).c+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(a.c,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids."})}),"\n",(0,s.jsx)(i.h2,{id:"hearing-loss",children:"Hearing Loss"}),"\n",(0,s.jsxs)(i.p,{children:["There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of ",(0,s.jsx)(i.a,{href:"https://rnid.org.uk/information-and-support/hearing-loss/types-of-hearing-loss-and-deafness/",children:"sensorineural hearing loss"}),"."]}),"\n",(0,s.jsx)(i.h3,{id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",children:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?"}),"\n",(0,s.jsx)(i.p,{children:"In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits."}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/waPONoYrf8Q",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsxs)(a.c,{children:[(0,s.jsx)("summary",{children:"Click arrow to see synposis."}),(0,s.jsx)("div",{children:(0,s.jsxs)(i.p,{children:["Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/en/definition/suprathreshold",children:"suprathreshold"})," deficits remain. The most common type of hearing loss is a ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/definition/cochlear",children:"cochlear"})," hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon."]})})]}),"\n",(0,s.jsx)(i.h2,{id:"prediction-model",children:"Prediction model"}),"\n",(0,s.jsx)(i.h3,{id:"do-i-have-to-use-a-separate-hearing-loss-model",children:"Do I have to use a separate hearing loss model?"}),"\n",(0,s.jsx)(i.p,{children:"No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception."}),"\n",(0,s.jsx)(i.h3,{id:"what-should-the-output-of-my-prediction-model-be",children:"What should the output of my prediction model be?"}),"\n",(0,s.jsx)(i.p,{children:"The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal."}),"\n",(0,s.jsx)(i.h2,{id:"data",children:"Data"}),"\n",(0,s.jsx)(i.h3,{id:"do-you-have-suggestions-for-expanding-the-training-data",children:"Do you have suggestions for expanding the training data?"}),"\n",(0,s.jsx)(i.p,{children:"The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://www.fit.vut.cz/person/izmolikova/functions/.en#nav",children:"Katerina Zmolikova"})," has made ",(0,s.jsx)(i.a,{href:"https://github.com/BUTSpeechFIT/torch_msbg_mbstoi",children:"her Pytorch version of the baseline hearing impairment and speech intelligibility model available"}),". Both model fit a neural network framework, are faster but more approximate (see graphs on github)."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://pubmed.ncbi.nlm.nih.gov/29554034/",children:"HASQI and HASPI"})," are quality and speech intelligibility metrics designed to work for people with a hearing impairment. ",(0,s.jsx)(i.a,{href:"../cpc1/taking_part/cpc1_faq/#speech-intelligibility",children:"James Kates explains more about these above"}),". ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(66636).c+"",children:"MATLAB code HASPI v2 and HASQI v2"})," are available, along with the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(96236).c+"",children:"user guide"}),"."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://github.com/dhimasryan/STOI-Net",children:"STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model"})," by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is ",(0,s.jsx)(i.a,{href:"http://ah-andersen.net/code/",children:"Asger Heidemann Andersen's MATLAB code"}),"."]}),"\n"]}),"\n",(0,s.jsx)(i.h3,{id:"missing-data",children:"Missing data"}),"\n",(0,s.jsx)(i.p,{children:"We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with."}),"\n",(0,s.jsxs)(i.ol,{children:["\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsx)(i.p,{children:"One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss."}),"\n"]}),"\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsxs)(i.p,{children:["Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, ",(0,s.jsx)(i.a,{href:"https://towardsdatascience.com/all-about-missing-data-handling-b94b8b5d2184",children:"e.g. towards data science"})," discussing different approaches."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'."}),"\n",(0,s.jsx)(i.p,{children:"One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable."}),"\n",(0,s.jsxs)(i.p,{children:["A more sophisticated approach is to fill gaps in data via ",(0,s.jsx)(i.em,{children:"imputation"})," i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. 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We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(66636).c+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(96236).c+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(n.c,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids."})}),"\n",(0,s.jsx)(i.h2,{id:"hearing-loss",children:"Hearing Loss"}),"\n",(0,s.jsxs)(i.p,{children:["There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of ",(0,s.jsx)(i.a,{href:"https://rnid.org.uk/information-and-support/hearing-loss/types-of-hearing-loss-and-deafness/",children:"sensorineural hearing loss"}),"."]}),"\n",(0,s.jsx)(i.h3,{id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",children:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?"}),"\n",(0,s.jsx)(i.p,{children:"In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits."}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/waPONoYrf8Q",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(n.c,{summary:"Click arrow to see synopsis.",children:(0,s.jsxs)(i.p,{children:["Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/en/definition/suprathreshold",children:"suprathreshold"})," deficits remain. The most common type of hearing loss is a ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/definition/cochlear",children:"cochlear"})," hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon."]})}),"\n",(0,s.jsx)(i.h2,{id:"prediction-model",children:"Prediction model"}),"\n",(0,s.jsx)(i.h3,{id:"do-i-have-to-use-a-separate-hearing-loss-model",children:"Do I have to use a separate hearing loss model?"}),"\n",(0,s.jsx)(i.p,{children:"No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception."}),"\n",(0,s.jsx)(i.h3,{id:"what-should-the-output-of-my-prediction-model-be",children:"What should the output of my prediction model be?"}),"\n",(0,s.jsx)(i.p,{children:"The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal."}),"\n",(0,s.jsx)(i.h2,{id:"data",children:"Data"}),"\n",(0,s.jsx)(i.h3,{id:"do-you-have-suggestions-for-expanding-the-training-data",children:"Do you have suggestions for expanding the training data?"}),"\n",(0,s.jsx)(i.p,{children:"The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://www.fit.vut.cz/person/izmolikova/functions/.en#nav",children:"Katerina Zmolikova"})," has made ",(0,s.jsx)(i.a,{href:"https://github.com/BUTSpeechFIT/torch_msbg_mbstoi",children:"her Pytorch version of the baseline hearing impairment and speech intelligibility model available"}),". Both model fit a neural network framework, are faster but more approximate (see graphs on github)."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://pubmed.ncbi.nlm.nih.gov/29554034/",children:"HASQI and HASPI"})," are quality and speech intelligibility metrics designed to work for people with a hearing impairment. ",(0,s.jsx)(i.a,{href:"cpc1_faq/#speech-intelligibility",children:"James Kates explains more about these above"}),". ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(66636).c+"",children:"MATLAB code HASPI v2 and HASQI v2"})," are available, along with the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(96236).c+"",children:"user guide"}),"."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://github.com/dhimasryan/STOI-Net",children:"STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model"})," by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is ",(0,s.jsx)(i.a,{href:"http://ah-andersen.net/code/",children:"Asger Heidemann Andersen's MATLAB code"}),"."]}),"\n"]}),"\n",(0,s.jsx)(i.h3,{id:"missing-data",children:"Missing data"}),"\n",(0,s.jsx)(i.p,{children:"We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with."}),"\n",(0,s.jsxs)(i.ol,{children:["\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsx)(i.p,{children:"One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss."}),"\n"]}),"\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsxs)(i.p,{children:["Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, ",(0,s.jsx)(i.a,{href:"https://towardsdatascience.com/all-about-missing-data-handling-b94b8b5d2184",children:"e.g. towards data science"})," discussing different approaches."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'."}),"\n",(0,s.jsx)(i.p,{children:"One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable."}),"\n",(0,s.jsxs)(i.p,{children:["A more sophisticated approach is to fill gaps in data via ",(0,s.jsx)(i.em,{children:"imputation"})," i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data."]})]})}function p(e={}){const{wrapper:i}={...(0,a.M)(),...e.components};return i?(0,s.jsx)(i,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},22808:(e,i,t)=>{t.d(i,{c:()=>f});var s=t(11504),a=t(34064),n=t(15420),o=t(5976),r=t(93664),l=t(58448);const h={details:"details_lb9f",isBrowser:"isBrowser_bmU9",collapsibleContent:"collapsibleContent_i85q"};var d=t(17624);function c(e){return!!e&&("SUMMARY"===e.tagName||c(e.parentElement))}function p(e,i){return!!e&&(e===i||p(e.parentElement,i))}function u(e){let{summary:i,children:t,...a}=e;(0,o.c)().collectAnchor(a.id);const u=(0,r.c)(),m=(0,s.useRef)(null),{collapsed:g,setCollapsed:f}=(0,l.a)({initialState:!a.open}),[b,y]=(0,s.useState)(a.open),w=s.isValidElement(i)?i:(0,d.jsx)("summary",{children:i??"Details"});return(0,d.jsxs)("details",{...a,ref:m,open:b,"data-collapsed":g,className:(0,n.c)(h.details,u&&h.isBrowser,a.className),onMouseDown:e=>{c(e.target)&&e.detail>1&&e.preventDefault()},onClick:e=>{e.stopPropagation();const i=e.target;c(i)&&p(i,m.current)&&(e.preventDefault(),g?(f(!1),y(!0)):f(!0))},children:[w,(0,d.jsx)(l.U,{lazy:!1,collapsed:g,disableSSRStyle:!0,onCollapseTransitionEnd:e=>{f(e),y(!e)},children:(0,d.jsx)("div",{className:h.collapsibleContent,children:t})})]})}const m={details:"details_b_Ee"},g="alert alert--info";function f(e){let{...i}=e;return(0,d.jsx)(u,{...i,className:(0,a.c)(g,m.details,i.className)})}},66636:(e,i,t)=>{t.d(i,{c:()=>s});const s=t.p+"assets/files/HASPIv2_HASQIv2_HAAQIv1-90688098b8d9e90fdc1ee4516175688c.zip"},96236:(e,i,t)=>{t.d(i,{c:()=>s});const s=t.p+"assets/files/Users_Guide_ver3-079c55157dae104c506c47dd0bf03565.zip"},4552:(e,i,t)=>{t.d(i,{I:()=>r,M:()=>o});var s=t(11504);const a={},n=s.createContext(a);function o(e){const i=s.useContext(n);return s.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function r(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:o(e.components),s.createElement(n.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/dff45584.c094cae7.js b/assets/js/dff45584.c094cae7.js deleted file mode 100644 index 74558429a..000000000 --- a/assets/js/dff45584.c094cae7.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[9448],{15655:(e,i,t)=>{t.r(i),t.d(i,{assets:()=>h,contentTitle:()=>r,default:()=>p,frontMatter:()=>o,metadata:()=>l,toc:()=>d});var s=t(85893),a=t(11151),n=t(34673);const o={id:"cpc1_faq",title:"FAQ for Prediction Challenge",sidebar_label:"FAQ",sidebar_position:12},r="FAQ",l={id:"cpc1/taking_part/cpc1_faq",title:"FAQ for Prediction Challenge",description:"Speech Intelligibility",source:"@site/docs/cpc1/taking_part/cpc1_faq.mdx",sourceDirName:"cpc1/taking_part",slug:"/cpc1/taking_part/cpc1_faq",permalink:"/docs/cpc1/taking_part/cpc1_faq",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:12,frontMatter:{id:"cpc1_faq",title:"FAQ for Prediction Challenge",sidebar_label:"FAQ",sidebar_position:12},sidebar:"tutorialSidebar_cpc1",previous:{title:"Prizes",permalink:"/docs/cpc1/taking_part/cpc1_prizes"},next:{title:"Results",permalink:"/docs/cpc1/cpc1_results"}},h={},d=[{value:"Speech Intelligibility",id:"speech-intelligibility",level:2},{value:"What is Speech Intelligibility?",id:"what-is-speech-intelligibility",level:3},{value:"How is Speech Intelligibility measured with listeners?",id:"how-is-speech-intelligibility-measured-with-listeners",level:3},{value:"How is Speech Intelligibility objectively measured by a computer?",id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",level:3},{value:"What speech intelligibility models already exist and what are they used for?",id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",level:3},{value:"Hearing Loss",id:"hearing-loss",level:2},{value:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?",id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",level:3},{value:"Prediction model",id:"prediction-model",level:2},{value:"Do I have to use a separate hearing loss model?",id:"do-i-have-to-use-a-separate-hearing-loss-model",level:3},{value:"What should the output of my prediction model be?",id:"what-should-the-output-of-my-prediction-model-be",level:3},{value:"Data",id:"data",level:2},{value:"Do you have suggestions for expanding the training data?",id:"do-you-have-suggestions-for-expanding-the-training-data",level:3},{value:"Missing data",id:"missing-data",level:3}];function c(e){const i={a:"a",em:"em",h1:"h1",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",ul:"ul",...(0,a.a)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.h1,{id:"faq",children:"FAQ"}),"\n",(0,s.jsx)(i.h2,{id:"speech-intelligibility",children:"Speech Intelligibility"}),"\n",(0,s.jsx)(i.h3,{id:"what-is-speech-intelligibility",children:"What is Speech Intelligibility?"}),"\n",(0,s.jsxs)(i.p,{children:["The term ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Intelligibility_(communication)",children:"Speech Intelligibility"})," is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models."]}),"\n",(0,s.jsx)(i.p,{children:"Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener."}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-measured-with-listeners",children:"How is Speech Intelligibility measured with listeners?"}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence."}),"\n",(0,s.jsxs)(i.p,{children:["You might consider looking at ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S1877050918302187",children:"other metrics"}),", such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project."]}),"\n",(0,s.jsx)(i.h3,{id:"how-is-speech-intelligibility-objectively-measured-by-a-computer",children:"How is Speech Intelligibility objectively measured by a computer?"}),"\n",(0,s.jsx)(i.p,{children:"When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals."}),"\n",(0,s.jsx)(i.p,{children:"Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models:"}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsx)(i.li,{children:"Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal."}),"\n",(0,s.jsx)(i.li,{children:"Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone."}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech."}),"\n",(0,s.jsx)(i.h3,{id:"what-speech-intelligibility-models-already-exist-and-what-are-they-used-for",children:"What speech intelligibility models already exist and what are they used for?"}),"\n",(0,s.jsxs)(i.p,{children:["There aren't many speech intelligibility models that consider hearing impairment, but one that does is ",(0,s.jsx)(i.a,{href:"https://www.sciencedirect.com/science/article/pii/S0167639320300431",children:"HASPI by Kates and Arehart"}),". In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric ",(0,s.jsx)(i.a,{href:"https://en.wikipedia.org/wiki/Hearing-Aid_Speech_Quality_Index",children:"HASQI"}),". If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(51746).Z+"",children:"MATLAB code"})," and ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(58150).Z+"",children:"user guide"})," available for download."]}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/hp9NT1zkGz0",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(n.Z,{summary:"Click arrow to see synopsis.",children:(0,s.jsx)(i.p,{children:"Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids."})}),"\n",(0,s.jsx)(i.h2,{id:"hearing-loss",children:"Hearing Loss"}),"\n",(0,s.jsxs)(i.p,{children:["There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of ",(0,s.jsx)(i.a,{href:"https://rnid.org.uk/information-and-support/hearing-loss/types-of-hearing-loss-and-deafness/",children:"sensorineural hearing loss"}),"."]}),"\n",(0,s.jsx)(i.h3,{id:"how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this",children:"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?"}),"\n",(0,s.jsx)(i.p,{children:"In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits."}),"\n",(0,s.jsx)("iframe",{width:"560",height:"315",src:"https://www.youtube.com/embed/waPONoYrf8Q",title:"YouTube video player",frameborder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowfullscreen:!0}),"\n",(0,s.jsx)(n.Z,{summary:"Click arrow to see synopsis.",children:(0,s.jsxs)(i.p,{children:["Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/en/definition/suprathreshold",children:"suprathreshold"})," deficits remain. The most common type of hearing loss is a ",(0,s.jsx)(i.a,{href:"https://www.lexico.com/definition/cochlear",children:"cochlear"})," hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon."]})}),"\n",(0,s.jsx)(i.h2,{id:"prediction-model",children:"Prediction model"}),"\n",(0,s.jsx)(i.h3,{id:"do-i-have-to-use-a-separate-hearing-loss-model",children:"Do I have to use a separate hearing loss model?"}),"\n",(0,s.jsx)(i.p,{children:"No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception."}),"\n",(0,s.jsx)(i.h3,{id:"what-should-the-output-of-my-prediction-model-be",children:"What should the output of my prediction model be?"}),"\n",(0,s.jsx)(i.p,{children:"The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal."}),"\n",(0,s.jsx)(i.h2,{id:"data",children:"Data"}),"\n",(0,s.jsx)(i.h3,{id:"do-you-have-suggestions-for-expanding-the-training-data",children:"Do you have suggestions for expanding the training data?"}),"\n",(0,s.jsx)(i.p,{children:"The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team."}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://www.fit.vut.cz/person/izmolikova/functions/.en#nav",children:"Katerina Zmolikova"})," has made ",(0,s.jsx)(i.a,{href:"https://github.com/BUTSpeechFIT/torch_msbg_mbstoi",children:"her Pytorch version of the baseline hearing impairment and speech intelligibility model available"}),". Both model fit a neural network framework, are faster but more approximate (see graphs on github)."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://pubmed.ncbi.nlm.nih.gov/29554034/",children:"HASQI and HASPI"})," are quality and speech intelligibility metrics designed to work for people with a hearing impairment. ",(0,s.jsx)(i.a,{href:"cpc1_faq/#speech-intelligibility",children:"James Kates explains more about these above"}),". ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(51746).Z+"",children:"MATLAB code HASPI v2 and HASQI v2"})," are available, along with the ",(0,s.jsx)(i.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(58150).Z+"",children:"user guide"}),"."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.a,{href:"https://github.com/dhimasryan/STOI-Net",children:"STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model"})," by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is ",(0,s.jsx)(i.a,{href:"http://ah-andersen.net/code/",children:"Asger Heidemann Andersen's MATLAB code"}),"."]}),"\n"]}),"\n",(0,s.jsx)(i.h3,{id:"missing-data",children:"Missing data"}),"\n",(0,s.jsx)(i.p,{children:"We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with."}),"\n",(0,s.jsxs)(i.ol,{children:["\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsx)(i.p,{children:"One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss."}),"\n"]}),"\n",(0,s.jsxs)(i.li,{children:["\n",(0,s.jsxs)(i.p,{children:["Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, ",(0,s.jsx)(i.a,{href:"https://towardsdatascience.com/all-about-missing-data-handling-b94b8b5d2184",children:"e.g. towards data science"})," discussing different approaches."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(i.p,{children:"A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). 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Journal of the Audio Engineering Society. 62 (3): 99\u2013117.'}),"\n"]})]})}function h(e={}){const{wrapper:i}={...(0,s.a)(),...e.components};return i?(0,t.jsx)(i,{...e,children:(0,t.jsx)(d,{...e})}):d(e)}},11151:(e,i,n)=>{n.d(i,{Z:()=>l,a:()=>r});var t=n(67294);const s={},a=t.createContext(s);function r(e){const i=t.useContext(a);return t.useMemo((function(){return"function"==typeof e?e(i):{...i,...e}}),[i,e])}function l(e){let i;return i=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),t.createElement(a.Provider,{value:i},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/ec84f4c2.233537b8.js b/assets/js/ec84f4c2.233537b8.js deleted file mode 100644 index 99ca9f464..000000000 --- a/assets/js/ec84f4c2.233537b8.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[3327],{25848:(e,a,s)=>{s.r(a),s.d(a,{assets:()=>m,contentTitle:()=>l,default:()=>o,frontMatter:()=>i,metadata:()=>r,toc:()=>h});var n=s(85893),t=s(11151);const i={slug:"Latency, computation time and real-time operation",title:"Latency, computation time and real-time operation",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["challenge","computation","enhancement","latency","real-time"]},l=void 0,r={permalink:"/blog/Latency, computation time and real-time operation",source:"@site/blog/2021-03-05-latency-computation-time-and-real-time-operation.mdx",title:"Latency, computation time and real-time operation",description:"An explanation of the time and computational limits for the first round of the enhancement challenge.",date:"2021-03-05T00:00:00.000Z",formattedDate:"March 5, 2021",tags:[{label:"challenge",permalink:"/blog/tags/challenge"},{label:"computation",permalink:"/blog/tags/computation"},{label:"enhancement",permalink:"/blog/tags/enhancement"},{label:"latency",permalink:"/blog/tags/latency"},{label:"real-time",permalink:"/blog/tags/real-time"}],readingTime:2.125,hasTruncateMarker:!0,authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"Latency, computation time and real-time operation",title:"Latency, computation time and real-time operation",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["challenge","computation","enhancement","latency","real-time"]},unlisted:!1,prevItem:{title:"Baseline speech intelligibility model in round one",permalink:"/blog/baseline"},nextItem:{title:"Clarity Challenge pre-announcement",permalink:"/blog/Clarity Challenge pre-announcement"}},m={authorsImageUrls:[void 0]},h=[{value:"The 1st Clarity Enhancement Challenge",id:"the-1st-clarity-enhancement-challenge",level:2},{value:"Why is there no limitation of how long f() takes to compute?",id:"why-is-there-no-limitation-of-how-long-f-takes-to-compute",level:2},{value:"Why haven\u2019t you talked about latency?",id:"why-havent-you-talked-about-latency",level:2},{value:"Do algorithms have to be real-time?",id:"do-algorithms-have-to-be-real-time",level:2}];function c(e){const a={annotation:"annotation",h2:"h2",img:"img",li:"li",math:"math",mi:"mi",mn:"mn",mo:"mo",mrow:"mrow",p:"p",semantics:"semantics",span:"span",ul:"ul",...(0,t.a)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(a.p,{children:"An explanation of the time and computational limits for the first round of the enhancement challenge."}),"\n",(0,n.jsx)(a.h2,{id:"the-1st-clarity-enhancement-challenge",children:"The 1st Clarity Enhancement Challenge"}),"\n",(0,n.jsx)(a.p,{children:"For a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. Such processing is useless for hearing aids and therefore our rules include a restriction on the use of future samples."}),"\n",(0,n.jsx)(a.p,{children:"The rules state the following:"}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsx)(a.li,{children:"Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5ms)."}),"\n",(0,n.jsx)(a.li,{children:"There is no limit on computational cost."}),"\n"]}),"\n","\n",(0,n.jsx)(a.p,{children:"Mathematically this is:"}),"\n",(0,n.jsxs)(a.p,{children:["y",(0,n.jsx)("sub",{children:"n"}),"=f(x",(0,n.jsx)("sub",{children:"m"})," , x",(0,n.jsx)("sub",{children:"m+1"})," ... x",(0,n.jsx)("sub",{children:"n+N-1"})," , x",(0,n.jsx)("sub",{children:"n+N"})," , L )"]}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:["where y",(0,n.jsx)("sub",{children:"n"})," is the output from your hearing aid for sample 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microphone."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsxs)(a.span,{className:"katex",children:[(0,n.jsx)(a.span,{className:"katex-mathml",children:(0,n.jsx)(a.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(a.semantics,{children:[(0,n.jsxs)(a.mrow,{children:[(0,n.jsx)(a.mi,{children:"N"}),(0,n.jsx)(a.mo,{children:"="}),(0,n.jsx)(a.mn,{children:"0.005"}),(0,n.jsx)(a.mi,{children:"f"}),(0,n.jsx)(a.mi,{children:"s"})]}),(0,n.jsx)(a.annotation,{encoding:"application/x-tex",children:"N = 0.005 fs"})]})})}),(0,n.jsxs)(a.span,{className:"katex-html","aria-hidden":"true",children:[(0,n.jsxs)(a.span,{className:"base",children:[(0,n.jsx)(a.span,{className:"strut",style:{height:"0.6833em"}}),(0,n.jsx)(a.span,{className:"mord 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",(0,n.jsxs)(a.span,{className:"katex",children:[(0,n.jsx)(a.span,{className:"katex-mathml",children:(0,n.jsx)(a.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(a.semantics,{children:[(0,n.jsxs)(a.mrow,{children:[(0,n.jsx)(a.mi,{children:"f"}),(0,n.jsx)(a.mi,{children:"s"})]}),(0,n.jsx)(a.annotation,{encoding:"application/x-tex",children:"fs"})]})})}),(0,n.jsx)(a.span,{className:"katex-html","aria-hidden":"true",children:(0,n.jsxs)(a.span,{className:"base",children:[(0,n.jsx)(a.span,{className:"strut",style:{height:"0.8889em",verticalAlign:"-0.1944em"}}),(0,n.jsx)(a.span,{className:"mord mathnormal",style:{marginRight:"0.10764em"},children:"f"}),(0,n.jsx)(a.span,{className:"mord mathnormal",children:"s"})]})})]})," is the sampling frequency."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsxs)(a.span,{className:"katex",children:[(0,n.jsx)(a.span,{className:"katex-mathml",children:(0,n.jsx)(a.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(a.semantics,{children:[(0,n.jsx)(a.mrow,{children:(0,n.jsx)(a.mi,{children:"m"})}),(0,n.jsx)(a.annotation,{encoding:"application/x-tex",children:"m"})]})})}),(0,n.jsx)(a.span,{className:"katex-html","aria-hidden":"true",children:(0,n.jsxs)(a.span,{className:"base",children:[(0,n.jsx)(a.span,{className:"strut",style:{height:"0.4306em"}}),(0,n.jsx)(a.span,{className:"mord mathnormal",children:"m"})]})})]})," is a sample number where 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mathnormal",children:"L"})]})})]})," is the listener characteristics."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsxs)(a.span,{className:"katex",children:[(0,n.jsx)(a.span,{className:"katex-mathml",children:(0,n.jsx)(a.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(a.semantics,{children:[(0,n.jsxs)(a.mrow,{children:[(0,n.jsx)(a.mi,{children:"f"}),(0,n.jsx)(a.mo,{stretchy:"false",children:"("}),(0,n.jsx)(a.mo,{stretchy:"false",children:")"})]}),(0,n.jsx)(a.annotation,{encoding:"application/x-tex",children:"f()"})]})})}),(0,n.jsx)(a.span,{className:"katex-html","aria-hidden":"true",children:(0,n.jsxs)(a.span,{className:"base",children:[(0,n.jsx)(a.span,{className:"strut",style:{height:"1em",verticalAlign:"-0.25em"}}),(0,n.jsx)(a.span,{className:"mord mathnormal",style:{marginRight:"0.10764em"},children:"f"}),(0,n.jsx)(a.span,{className:"mopen",children:"("}),(0,n.jsx)(a.span,{className:"mclose",children:")"})]})})]})," is the hearing aid function. There is no limitation on how long this takes to compute."]}),"\n",(0,n.jsxs)(a.li,{children:["You can use multiple microphones; only a single input signal ",(0,n.jsxs)(a.span,{className:"katex",children:[(0,n.jsx)(a.span,{className:"katex-mathml",children:(0,n.jsx)(a.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(a.semantics,{children:[(0,n.jsx)(a.mrow,{children:(0,n.jsx)(a.mi,{children:"x"})}),(0,n.jsx)(a.annotation,{encoding:"application/x-tex",children:"x"})]})})}),(0,n.jsx)(a.span,{className:"katex-html","aria-hidden":"true",children:(0,n.jsxs)(a.span,{className:"base",children:[(0,n.jsx)(a.span,{className:"strut",style:{height:"0.4306em"}}),(0,n.jsx)(a.span,{className:"mord mathnormal",children:"x"})]})})]})," is shown here just for simplicity."]}),"\n"]}),"\n",(0,n.jsx)(a.p,{children:"Here it is illustrated as a diagram."}),"\n",(0,n.jsx)(a.p,{children:(0,n.jsx)(a.img,{alt:"latency diagram",src:s(55158).Z+"",width:"573",height:"296"})}),"\n",(0,n.jsx)(a.p,{children:"Figure. Example of how the limit of 5 ms is applied to a hearing aid input and output signal.\nWe have a chosen a limit of 5 ms because in a real hearing aid there will be other sources of delay (e.g., analogue-to-digital, digital-to-analogue conversion)."}),"\n",(0,n.jsx)(a.h2,{id:"why-is-there-no-limitation-of-how-long-f-takes-to-compute",children:"Why is there no limitation of how long f() takes to compute?"}),"\n",(0,n.jsx)(a.p,{children:"We\u2019re trying to foster new approaches to hearing aid processing and decided that at this stage we will drive more innovation if we don\u2019t restrict computation time for round one. Such restrictions will be considered in future rounds."}),"\n",(0,n.jsx)(a.h2,{id:"why-havent-you-talked-about-latency",children:"Why haven\u2019t you talked about latency?"}),"\n",(0,n.jsx)(a.p,{children:"In discussions, it is apparent that this term is used in different ways by different people, so to avoid confusion we\u2019re not using it!"}),"\n",(0,n.jsx)(a.h2,{id:"do-algorithms-have-to-be-real-time",children:"Do algorithms have to be real-time?"}),"\n",(0,n.jsx)(a.p,{children:"The above limitations mean that the algorithms could in theory be made real-time if a powerful enough computer was available, but your entry can take as long as it needs to process the signals."})]})}function o(e={}){const{wrapper:a}={...(0,t.a)(),...e.components};return a?(0,n.jsx)(a,{...e,children:(0,n.jsx)(c,{...e})}):c(e)}},55158:(e,a,s)=>{s.d(a,{Z:()=>n});const n=s.p+"assets/images/latency_diagram-1-528b50363f33be2b84c6ffd17de1df2f.png"},11151:(e,a,s)=>{s.d(a,{Z:()=>r,a:()=>l});var n=s(67294);const t={},i=n.createContext(t);function l(e){const a=n.useContext(i);return n.useMemo((function(){return"function"==typeof e?e(a):{...a,...e}}),[a,e])}function r(e){let a;return a=e.disableParentContext?"function"==typeof e.components?e.components(t):e.components||t:l(e.components),n.createElement(i.Provider,{value:a},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/ec84f4c2.f8d011ed.js b/assets/js/ec84f4c2.f8d011ed.js new file mode 100644 index 000000000..92b858f4f --- /dev/null +++ b/assets/js/ec84f4c2.f8d011ed.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[5904],{90424:(e,a,s)=>{s.r(a),s.d(a,{assets:()=>m,contentTitle:()=>l,default:()=>o,frontMatter:()=>i,metadata:()=>r,toc:()=>c});var n=s(17624),t=s(4552);const i={slug:"Latency, computation time and real-time operation",title:"Latency, computation time and real-time operation",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["challenge","computation","enhancement","latency","real-time"]},l=void 0,r={permalink:"/blog/Latency, computation time and real-time operation",source:"@site/blog/2021-03-05-latency-computation-time-and-real-time-operation.mdx",title:"Latency, computation time and real-time operation",description:"An explanation of the time and computational limits for the first round of the enhancement challenge.",date:"2021-03-05T00:00:00.000Z",formattedDate:"March 5, 2021",tags:[{label:"challenge",permalink:"/blog/tags/challenge"},{label:"computation",permalink:"/blog/tags/computation"},{label:"enhancement",permalink:"/blog/tags/enhancement"},{label:"latency",permalink:"/blog/tags/latency"},{label:"real-time",permalink:"/blog/tags/real-time"}],readingTime:2.125,hasTruncateMarker:!0,authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],frontMatter:{slug:"Latency, computation time and real-time operation",title:"Latency, computation time and real-time operation",authors:[{name:"Trevor Cox",title:"Clarity Team Member",url:"http://trevorcox.me/trevor-cox",image_url:"https://avatars.githubusercontent.com/trevorjcox",imageURL:"https://avatars.githubusercontent.com/trevorjcox"}],tags:["challenge","computation","enhancement","latency","real-time"]},unlisted:!1,prevItem:{title:"Baseline speech intelligibility model in round one",permalink:"/blog/baseline"},nextItem:{title:"Clarity Challenge pre-announcement",permalink:"/blog/Clarity Challenge pre-announcement"}},m={authorsImageUrls:[void 0]},c=[{value:"The 1st Clarity Enhancement Challenge",id:"the-1st-clarity-enhancement-challenge",level:2},{value:"Why is there no limitation of how long f() takes to compute?",id:"why-is-there-no-limitation-of-how-long-f-takes-to-compute",level:2},{value:"Why haven\u2019t you talked about latency?",id:"why-havent-you-talked-about-latency",level:2},{value:"Do algorithms have to be real-time?",id:"do-algorithms-have-to-be-real-time",level:2}];function h(e){const a={annotation:"annotation",h2:"h2",img:"img",li:"li",math:"math",mi:"mi",mn:"mn",mo:"mo",mrow:"mrow",p:"p",semantics:"semantics",span:"span",ul:"ul",...(0,t.M)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(a.p,{children:"An explanation of the time and computational limits for the first round of the enhancement challenge."}),"\n",(0,n.jsx)(a.h2,{id:"the-1st-clarity-enhancement-challenge",children:"The 1st Clarity Enhancement Challenge"}),"\n",(0,n.jsx)(a.p,{children:"For a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. Such processing is useless for hearing aids and therefore our rules include a restriction on the use of future samples."}),"\n",(0,n.jsx)(a.p,{children:"The rules state the following:"}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsx)(a.li,{children:"Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5ms)."}),"\n",(0,n.jsx)(a.li,{children:"There is no limit on computational cost."}),"\n"]}),"\n","\n",(0,n.jsx)(a.p,{children:"Mathematically this is:"}),"\n",(0,n.jsxs)(a.p,{children:["y",(0,n.jsx)("sub",{children:"n"}),"=f(x",(0,n.jsx)("sub",{children:"m"})," , x",(0,n.jsx)("sub",{children:"m+1"})," ... x",(0,n.jsx)("sub",{children:"n+N-1"})," , x",(0,n.jsx)("sub",{children:"n+N"})," , L )"]}),"\n",(0,n.jsxs)(a.ul,{children:["\n",(0,n.jsxs)(a.li,{children:["where y",(0,n.jsx)("sub",{children:"n"})," is the output from your hearing aid for sample 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microphone."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsxs)(a.span,{className:"katex",children:[(0,n.jsx)(a.span,{className:"katex-mathml",children:(0,n.jsx)(a.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(a.semantics,{children:[(0,n.jsxs)(a.mrow,{children:[(0,n.jsx)(a.mi,{children:"N"}),(0,n.jsx)(a.mo,{children:"="}),(0,n.jsx)(a.mn,{children:"0.005"}),(0,n.jsx)(a.mi,{children:"f"}),(0,n.jsx)(a.mi,{children:"s"})]}),(0,n.jsx)(a.annotation,{encoding:"application/x-tex",children:"N = 0.005 fs"})]})})}),(0,n.jsxs)(a.span,{className:"katex-html","aria-hidden":"true",children:[(0,n.jsxs)(a.span,{className:"base",children:[(0,n.jsx)(a.span,{className:"strut",style:{height:"0.6833em"}}),(0,n.jsx)(a.span,{className:"mord 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frequency."]}),"\n",(0,n.jsxs)(a.li,{children:[(0,n.jsxs)(a.span,{className:"katex",children:[(0,n.jsx)(a.span,{className:"katex-mathml",children:(0,n.jsx)(a.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(a.semantics,{children:[(0,n.jsx)(a.mrow,{children:(0,n.jsx)(a.mi,{children:"m"})}),(0,n.jsx)(a.annotation,{encoding:"application/x-tex",children:"m"})]})})}),(0,n.jsx)(a.span,{className:"katex-html","aria-hidden":"true",children:(0,n.jsxs)(a.span,{className:"base",children:[(0,n.jsx)(a.span,{className:"strut",style:{height:"0.4306em"}}),(0,n.jsx)(a.span,{className:"mord mathnormal",children:"m"})]})})]})," is a sample number where 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There is no limitation on how long this takes to compute."]}),"\n",(0,n.jsxs)(a.li,{children:["You can use multiple microphones; only a single input signal ",(0,n.jsxs)(a.span,{className:"katex",children:[(0,n.jsx)(a.span,{className:"katex-mathml",children:(0,n.jsx)(a.math,{xmlns:"http://www.w3.org/1998/Math/MathML",children:(0,n.jsxs)(a.semantics,{children:[(0,n.jsx)(a.mrow,{children:(0,n.jsx)(a.mi,{children:"x"})}),(0,n.jsx)(a.annotation,{encoding:"application/x-tex",children:"x"})]})})}),(0,n.jsx)(a.span,{className:"katex-html","aria-hidden":"true",children:(0,n.jsxs)(a.span,{className:"base",children:[(0,n.jsx)(a.span,{className:"strut",style:{height:"0.4306em"}}),(0,n.jsx)(a.span,{className:"mord mathnormal",children:"x"})]})})]})," is shown here just for simplicity."]}),"\n"]}),"\n",(0,n.jsx)(a.p,{children:"Here it is illustrated as a diagram."}),"\n",(0,n.jsx)(a.p,{children:(0,n.jsx)(a.img,{alt:"latency diagram",src:s(7912).c+"",width:"573",height:"296"})}),"\n",(0,n.jsx)(a.p,{children:"Figure. 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\ No newline at end of file diff --git a/assets/js/fb83b55e.c07e8b82.js b/assets/js/fb83b55e.c07e8b82.js new file mode 100644 index 000000000..cc3a96383 --- /dev/null +++ b/assets/js/fb83b55e.c07e8b82.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkclarity=self.webpackChunkclarity||[]).push([[5936],{22468:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>o,contentTitle:()=>r,default:()=>h,frontMatter:()=>a,metadata:()=>l,toc:()=>c});var t=i(17624),s=i(4552);const a={id:"cpc1_rules",title:"Rules",sidebar_label:"Rules",sidebar_position:6},r=void 0,l={id:"cpc1/taking_part/cpc1_rules",title:"Rules",description:"Teams",source:"@site/docs/cpc1/taking_part/cpc1_rules.mdx",sourceDirName:"cpc1/taking_part",slug:"/cpc1/taking_part/cpc1_rules",permalink:"/docs/cpc1/taking_part/cpc1_rules",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:6,frontMatter:{id:"cpc1_rules",title:"Rules",sidebar_label:"Rules",sidebar_position:6},sidebar:"tutorialSidebar_cpc1",previous:{title:"Registration",permalink:"/docs/cpc1/taking_part/cpc1_registration"},next:{title:"Submission",permalink:"/docs/cpc1/taking_part/cpc1_submission"}},o={},c=[{value:"Teams",id:"teams",level:2},{value:"Transparency",id:"transparency",level:2},{value:"Intellectual property",id:"intellectual-property",level:2},{value:"What information can I use?",id:"what-information-can-i-use",level:2},{value:"Training and development",id:"training-and-development",level:3},{value:"Evaluation",id:"evaluation",level:3},{value:"Baseline models and computational restrictions",id:"baseline-models-and-computational-restrictions",level:2},{value:"What sort of model do I create?",id:"what-sort-of-model-do-i-create",level:2},{value:"Submitting multiple entries",id:"submitting-multiple-entries",level:2},{value:"Evaluation of systems",id:"evaluation-of-systems",level:2}];function d(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",p:"p",strong:"strong",ul:"ul",...(0,s.M)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.h2,{id:"teams",children:"Teams"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Teams must have registered and nominated a contact person."}),"\n",(0,t.jsx)(n.li,{children:"Teams can be from one or more institutions."}),"\n",(0,t.jsx)(n.li,{children:"Teams can comprise up to 10 persons."}),"\n",(0,t.jsx)(n.li,{children:"The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"transparency",children:"Transparency"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used."}),"\n",(0,t.jsx)(n.li,{children:"We will publish all technical documents (anonymous or otherwise)."}),"\n",(0,t.jsx)(n.li,{children:"Teams are encouraged \u2013 but not required \u2013 to provide us with access to the system(s)/model(s) and to make their code open source."}),"\n",(0,t.jsx)(n.li,{children:"Anonymous entries are allowed but will not be eligible for cash prizes."}),"\n",(0,t.jsx)(n.li,{children:"If a group of people submits multiple entries, they cannot win more than one prize in a given category."}),"\n",(0,t.jsx)(n.li,{children:"All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"intellectual-property",children:"Intellectual property"}),"\n",(0,t.jsx)(n.p,{children:"The following terms apply to participation in this machine learning challenge (\u201cChallenge\u201d). 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The Challenge is organised by the Challenge Organiser."}),"\n",(0,t.jsx)(n.p,{children:"Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions."}),"\n",(0,t.jsx)(n.p,{children:"As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission."}),"\n",(0,t.jsx)(n.p,{children:"Entrants provide Submissions on an \u201cAS IS\u201d BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE."}),"\n",(0,t.jsx)(n.h2,{id:"what-information-can-i-use",children:"What information can I use?"}),"\n",(0,t.jsx)(n.h3,{id:"training-and-development",children:"Training and development"}),"\n",(0,t.jsx)(n.p,{children:"For"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)("b",{children:"Track 1 (closed-set)"}),", teams should use the signals and listener responses provided in the ",(0,t.jsx)(n.code,{children:"CPC1.train.json"})," file."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)("b",{children:"Track 2 (open-set)"}),", teams should use the signals and listener responses provided in the smaller ",(0,t.jsx)(n.code,{children:"CPC1.train_indep.json"}),"."]}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:["In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The ",(0,t.jsx)(n.a,{href:"./cpc1_faq#data",children:"FAQ"})," gives links to some models that might be used for this."]}),"\n",(0,t.jsx)(n.p,{children:"Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section)."}),"\n",(0,t.jsx)(n.h3,{id:"evaluation",children:"Evaluation"}),"\n",(0,t.jsx)(n.p,{children:"The only data that can be used by the prediction model(s) during evaluation are"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"The output of the hearing aid processor/system."}),"\n",(0,t.jsx)(n.li,{children:"The target convolved with the anechoic BRIR (channel 1) for each ear (\u2018target_anechoic\u2019)."}),"\n",(0,t.jsx)(n.li,{children:"The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided."}),"\n",(0,t.jsx)(n.li,{children:"The listener metadata."}),"\n",(0,t.jsx)(n.li,{children:"The prompt for the utterances (the text the actors were given to read)"}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:["If you use text from the speech prompts as part of evaluating the systems, we will classify that as an ",(0,t.jsx)(n.strong,{children:"intrusive"})," method for the purpose of awarding ",(0,t.jsx)(n.a,{href:"./cpc1_prizes",children:"prizes"}),"."]}),"\n",(0,t.jsx)(n.h2,{id:"baseline-models-and-computational-restrictions",children:"Baseline models and computational restrictions"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Teams may choose to use all or some of the provided baseline models."}),"\n",(0,t.jsx)(n.li,{children:"There is no limit on computational cost."}),"\n",(0,t.jsx)(n.li,{children:"Models can be non-causal."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"what-sort-of-model-do-i-create",children:"What sort of model do I create?"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"You can create either a single prediction model that calculates speech intelligibility given a listener's hearing characteristics (that is, the metadata provided), or you can submit separate models of hearing loss and speech intelligibility."}),"\n",(0,t.jsx)(n.li,{children:"You should report the speech intelligibility for the whole sentence for each audio sample/listener combination."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"submitting-multiple-entries",children:"Submitting multiple entries"}),"\n",(0,t.jsx)(n.p,{children:"If you wish to submit multiple entries,"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"All systems/models must be submitted for evaluation."}),"\n",(0,t.jsx)(n.li,{children:"Your systems must have significant differences in their approach."}),"\n",(0,t.jsx)(n.li,{children:"You must register multiple teams, submitting each entry as a different team."}),"\n",(0,t.jsx)(n.li,{children:"In your documentation, you must make it clear how the submissions differ."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"evaluation-of-systems",children:"Evaluation of systems"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Entries will be ranked according to their performance in predicting measured intelligibility scores."}),"\n"]})]})}function h(e={}){const{wrapper:n}={...(0,s.M)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(d,{...e})}):d(e)}},4552:(e,n,i)=>{i.d(n,{I:()=>l,M:()=>r});var t=i(11504);const s={},a=t.createContext(s);function r(e){const n=t.useContext(a);return t.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),t.createElement(a.Provider,{value:n},e.children)}}}]); 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e.languages.flow.parameter,e.languages.insertBefore("flow","operator",{"flow-punctuation":{pattern:/\{\||\|\}/,alias:"punctuation"}}),Array.isArray(e.languages.flow.keyword)||(e.languages.flow.keyword=[e.languages.flow.keyword]),e.languages.flow.keyword.unshift({pattern:/(^|[^$]\b)(?:Class|declare|opaque|type)\b(?!\$)/,lookbehind:!0},{pattern:/(^|[^$]\B)\$(?:Diff|Enum|Exact|Keys|ObjMap|PropertyType|Record|Shape|Subtype|Supertype|await)\b(?!\$)/,lookbehind:!0})}(C),C.languages.n4js=C.languages.extend("javascript",{keyword:/\b(?:Array|any|boolean|break|case|catch|class|const|constructor|continue|debugger|declare|default|delete|do|else|enum|export|extends|false|finally|for|from|function|get|if|implements|import|in|instanceof|interface|let|module|new|null|number|package|private|protected|public|return|set|static|string|super|switch|this|throw|true|try|typeof|var|void|while|with|yield)\b/}),C.languages.insertBefore("n4js","constant",{annotation:{pattern:/@+\w+/,alias:"operator"}}),C.languages.n4jsd=C.languages.n4js,function(e){function t(e,t){return RegExp(e.replace(/<ID>/g,(function(){return/(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*/.source})),t)}e.languages.insertBefore("javascript","function-variable",{"method-variable":{pattern:RegExp("(\\.\\s*)"+e.languages.javascript["function-variable"].pattern.source),lookbehind:!0,alias:["function-variable","method","function","property-access"]}}),e.languages.insertBefore("javascript","function",{method:{pattern:RegExp("(\\.\\s*)"+e.languages.javascript.function.source),lookbehind:!0,alias:["function","property-access"]}}),e.languages.insertBefore("javascript","constant",{"known-class-name":[{pattern:/\b(?:(?:Float(?:32|64)|(?:Int|Uint)(?:8|16|32)|Uint8Clamped)?Array|ArrayBuffer|BigInt|Boolean|DataView|Date|Error|Function|Intl|JSON|(?:Weak)?(?:Map|Set)|Math|Number|Object|Promise|Proxy|Reflect|RegExp|String|Symbol|WebAssembly)\b/,alias:"class-name"},{pattern:/\b(?:[A-Z]\w*)Error\b/,alias:"class-name"}]}),e.languages.insertBefore("javascript","keyword",{imports:{pattern:t(/(\bimport\b\s*)(?:<ID>(?:\s*,\s*(?:\*\s*as\s+<ID>|\{[^{}]*\}))?|\*\s*as\s+<ID>|\{[^{}]*\})(?=\s*\bfrom\b)/.source),lookbehind:!0,inside:e.languages.javascript},exports:{pattern:t(/(\bexport\b\s*)(?:\*(?:\s*as\s+<ID>)?(?=\s*\bfrom\b)|\{[^{}]*\})/.source),lookbehind:!0,inside:e.languages.javascript}}),e.languages.javascript.keyword.unshift({pattern:/\b(?:as|default|export|from|import)\b/,alias:"module"},{pattern:/\b(?:await|break|catch|continue|do|else|finally|for|if|return|switch|throw|try|while|yield)\b/,alias:"control-flow"},{pattern:/\bnull\b/,alias:["null","nil"]},{pattern:/\bundefined\b/,alias:"nil"}),e.languages.insertBefore("javascript","operator",{spread:{pattern:/\.{3}/,alias:"operator"},arrow:{pattern:/=>/,alias:"operator"}}),e.languages.insertBefore("javascript","punctuation",{"property-access":{pattern:t(/(\.\s*)#?<ID>/.source),lookbehind:!0},"maybe-class-name":{pattern:/(^|[^$\w\xA0-\uFFFF])[A-Z][$\w\xA0-\uFFFF]+/,lookbehind:!0},dom:{pattern:/\b(?:document|(?:local|session)Storage|location|navigator|performance|window)\b/,alias:"variable"},console:{pattern:/\bconsole(?=\s*\.)/,alias:"class-name"}});for(var n=["function","function-variable","method","method-variable","property-access"],r=0;r<n.length;r++){var a=n[r],o=e.languages.javascript[a];a=(o="RegExp"===e.util.type(o)?e.languages.javascript[a]={pattern:o}:o).inside||{};(o.inside=a)["maybe-class-name"]=/^[A-Z][\s\S]*/}}(C),function(e){var t=e.util.clone(e.languages.javascript),n=/(?:\s|\/\/.*(?!.)|\/\*(?:[^*]|\*(?!\/))\*\/)/.source,r=/(?:\{(?:\{(?:\{[^{}]*\}|[^{}])*\}|[^{}])*\})/.source,a=/(?:\{<S>*\.{3}(?:[^{}]|<BRACES>)*\})/.source;function o(e,t){return e=e.replace(/<S>/g,(function(){return n})).replace(/<BRACES>/g,(function(){return r})).replace(/<SPREAD>/g,(function(){return a})),RegExp(e,t)}function i(t){for(var n=[],r=0;r<t.length;r++){var a=t[r],o=!1;"string"!=typeof a&&("tag"===a.type&&a.content[0]&&"tag"===a.content[0].type?"</"===a.content[0].content[0].content?0<n.length&&n[n.length-1].tagName===c(a.content[0].content[1])&&n.pop():"/>"!==a.content[a.content.length-1].content&&n.push({tagName:c(a.content[0].content[1]),openedBraces:0}):0<n.length&&"punctuation"===a.type&&"{"===a.content?n[n.length-1].openedBraces++:0<n.length&&0<n[n.length-1].openedBraces&&"punctuation"===a.type&&"}"===a.content?n[n.length-1].openedBraces--:o=!0),(o||"string"==typeof a)&&0<n.length&&0===n[n.length-1].openedBraces&&(o=c(a),r<t.length-1&&("string"==typeof t[r+1]||"plain-text"===t[r+1].type)&&(o+=c(t[r+1]),t.splice(r+1,1)),0<r&&("string"==typeof t[r-1]||"plain-text"===t[r-1].type)&&(o=c(t[r-1])+o,t.splice(r-1,1),r--),t[r]=new e.Token("plain-text",o,null,o)),a.content&&"string"!=typeof a.content&&i(a.content)}}a=o(a).source,e.languages.jsx=e.languages.extend("markup",t),e.languages.jsx.tag.pattern=o(/<\/?(?:[\w.:-]+(?:<S>+(?:[\w.:$-]+(?:=(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s{'"/>=]+|<BRACES>))?|<SPREAD>))*<S>*\/?)?>/.source),e.languages.jsx.tag.inside.tag.pattern=/^<\/?[^\s>\/]*/,e.languages.jsx.tag.inside["attr-value"].pattern=/=(?!\{)(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s'">]+)/,e.languages.jsx.tag.inside.tag.inside["class-name"]=/^[A-Z]\w*(?:\.[A-Z]\w*)*$/,e.languages.jsx.tag.inside.comment=t.comment,e.languages.insertBefore("inside","attr-name",{spread:{pattern:o(/<SPREAD>/.source),inside:e.languages.jsx}},e.languages.jsx.tag),e.languages.insertBefore("inside","special-attr",{script:{pattern:o(/=<BRACES>/.source),alias:"language-javascript",inside:{"script-punctuation":{pattern:/^=(?=\{)/,alias:"punctuation"},rest:e.languages.jsx}}},e.languages.jsx.tag);var c=function(e){return e?"string"==typeof e?e:"string"==typeof e.content?e.content:e.content.map(c).join(""):""};e.hooks.add("after-tokenize",(function(e){"jsx"!==e.language&&"tsx"!==e.language||i(e.tokens)}))}(C),function(e){var t=e.util.clone(e.languages.typescript);(t=(e.languages.tsx=e.languages.extend("jsx",t),delete e.languages.tsx.parameter,delete e.languages.tsx["literal-property"],e.languages.tsx.tag)).pattern=RegExp(/(^|[^\w$]|(?=<\/))/.source+"(?:"+t.pattern.source+")",t.pattern.flags),t.lookbehind=!0}(C),C.languages.swift={comment:{pattern:/(^|[^\\:])(?:\/\/.*|\/\*(?:[^/*]|\/(?!\*)|\*(?!\/)|\/\*(?:[^*]|\*(?!\/))*\*\/)*\*\/)/,lookbehind:!0,greedy:!0},"string-literal":[{pattern:RegExp(/(^|[^"#])/.source+"(?:"+/"(?:\\(?:\((?:[^()]|\([^()]*\))*\)|\r\n|[^(])|[^\\\r\n"])*"/.source+"|"+/"""(?:\\(?:\((?:[^()]|\([^()]*\))*\)|[^(])|[^\\"]|"(?!""))*"""/.source+")"+/(?!["#])/.source),lookbehind:!0,greedy:!0,inside:{interpolation:{pattern:/(\\\()(?:[^()]|\([^()]*\))*(?=\))/,lookbehind:!0,inside:null},"interpolation-punctuation":{pattern:/^\)|\\\($/,alias:"punctuation"},punctuation:/\\(?=[\r\n])/,string:/[\s\S]+/}},{pattern:RegExp(/(^|[^"#])(#+)/.source+"(?:"+/"(?:\\(?:#+\((?:[^()]|\([^()]*\))*\)|\r\n|[^#])|[^\\\r\n])*?"/.source+"|"+/"""(?:\\(?:#+\((?:[^()]|\([^()]*\))*\)|[^#])|[^\\])*?"""/.source+")\\2"),lookbehind:!0,greedy:!0,inside:{interpolation:{pattern:/(\\#+\()(?:[^()]|\([^()]*\))*(?=\))/,lookbehind:!0,inside:null},"interpolation-punctuation":{pattern:/^\)|\\#+\($/,alias:"punctuation"},string:/[\s\S]+/}}],directive:{pattern:RegExp(/#/.source+"(?:"+/(?:elseif|if)\b/.source+"(?:[ \t]*"+/(?:![ \t]*)?(?:\b\w+\b(?:[ \t]*\((?:[^()]|\([^()]*\))*\))?|\((?:[^()]|\([^()]*\))*\))(?:[ 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e.languages.kotlin["class-name"];var t={"interpolation-punctuation":{pattern:/^\$\{?|\}$/,alias:"punctuation"},expression:{pattern:/[\s\S]+/,inside:e.languages.kotlin}};e.languages.insertBefore("kotlin","string",{"string-literal":[{pattern:/"""(?:[^$]|\$(?:(?!\{)|\{[^{}]*\}))*?"""/,alias:"multiline",inside:{interpolation:{pattern:/\$(?:[a-z_]\w*|\{[^{}]*\})/i,inside:t},string:/[\s\S]+/}},{pattern:/"(?:[^"\\\r\n$]|\\.|\$(?:(?!\{)|\{[^{}]*\}))*"/,alias:"singleline",inside:{interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$(?:[a-z_]\w*|\{[^{}]*\})/i,lookbehind:!0,inside:t},string:/[\s\S]+/}}],char:{pattern:/'(?:[^'\\\r\n]|\\(?:.|u[a-fA-F0-9]{0,4}))'/,greedy:!0}}),delete e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(C),C.languages.c=C.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),C.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),C.languages.insertBefore("c","string",{macro:{pattern:/(^[\t ]*)#\s*[a-z](?:[^\r\n\\/]|\/(?!\*)|\/\*(?:[^*]|\*(?!\/))*\*\/|\\(?:\r\n|[\s\S]))*/im,lookbehind:!0,greedy:!0,alias:"property",inside:{string:[{pattern:/^(#\s*include\s*)<[^>]+>/,lookbehind:!0},C.languages.c.string],char:C.languages.c.char,comment:C.languages.c.comment,"macro-name":[{pattern:/(^#\s*define\s+)\w+\b(?!\()/i,lookbehind:!0},{pattern:/(^#\s*define\s+)\w+\b(?=\()/i,lookbehind:!0,alias:"function"}],directive:{pattern:/^(#\s*)[a-z]+/,lookbehind:!0,alias:"keyword"},"directive-hash":/^#/,punctuation:/##|\\(?=[\r\n])/,expression:{pattern:/\S[\s\S]*/,inside:C.languages.c}}}}),C.languages.insertBefore("c","function",{constant:/\b(?:EOF|NULL|SEEK_CUR|SEEK_END|SEEK_SET|__DATE__|__FILE__|__LINE__|__TIMESTAMP__|__TIME__|__func__|stderr|stdin|stdout)\b/}),delete C.languages.c.boolean,C.languages.objectivec=C.languages.extend("c",{string:{pattern:/@?"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},keyword:/\b(?:asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|in|inline|int|long|register|return|self|short|signed|sizeof|static|struct|super|switch|typedef|typeof|union|unsigned|void|volatile|while)\b|(?:@interface|@end|@implementation|@protocol|@class|@public|@protected|@private|@property|@try|@catch|@finally|@throw|@synthesize|@dynamic|@selector)\b/,operator:/-[->]?|\+\+?|!=?|<<?=?|>>?=?|==?|&&?|\|\|?|[~^%?*\/@]/}),delete 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e.languages.flow.parameter,e.languages.insertBefore("flow","operator",{"flow-punctuation":{pattern:/\{\||\|\}/,alias:"punctuation"}}),Array.isArray(e.languages.flow.keyword)||(e.languages.flow.keyword=[e.languages.flow.keyword]),e.languages.flow.keyword.unshift({pattern:/(^|[^$]\b)(?:Class|declare|opaque|type)\b(?!\$)/,lookbehind:!0},{pattern:/(^|[^$]\B)\$(?:Diff|Enum|Exact|Keys|ObjMap|PropertyType|Record|Shape|Subtype|Supertype|await)\b(?!\$)/,lookbehind:!0})}(C),C.languages.n4js=C.languages.extend("javascript",{keyword:/\b(?:Array|any|boolean|break|case|catch|class|const|constructor|continue|debugger|declare|default|delete|do|else|enum|export|extends|false|finally|for|from|function|get|if|implements|import|in|instanceof|interface|let|module|new|null|number|package|private|protected|public|return|set|static|string|super|switch|this|throw|true|try|typeof|var|void|while|with|yield)\b/}),C.languages.insertBefore("n4js","constant",{annotation:{pattern:/@+\w+/,alias:"operator"}}),C.languages.n4jsd=C.languages.n4js,function(e){function t(e,t){return RegExp(e.replace(/<ID>/g,(function(){return/(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*/.source})),t)}e.languages.insertBefore("javascript","function-variable",{"method-variable":{pattern:RegExp("(\\.\\s*)"+e.languages.javascript["function-variable"].pattern.source),lookbehind:!0,alias:["function-variable","method","function","property-access"]}}),e.languages.insertBefore("javascript","function",{method:{pattern:RegExp("(\\.\\s*)"+e.languages.javascript.function.source),lookbehind:!0,alias:["function","property-access"]}}),e.languages.insertBefore("javascript","constant",{"known-class-name":[{pattern:/\b(?:(?:Float(?:32|64)|(?:Int|Uint)(?:8|16|32)|Uint8Clamped)?Array|ArrayBuffer|BigInt|Boolean|DataView|Date|Error|Function|Intl|JSON|(?:Weak)?(?:Map|Set)|Math|Number|Object|Promise|Proxy|Reflect|RegExp|String|Symbol|WebAssembly)\b/,alias:"class-name"},{pattern:/\b(?:[A-Z]\w*)Error\b/,alias:"class-name"}]}),e.languages.insertBefore("javascript","keyword",{imports:{pattern:t(/(\bimport\b\s*)(?:<ID>(?:\s*,\s*(?:\*\s*as\s+<ID>|\{[^{}]*\}))?|\*\s*as\s+<ID>|\{[^{}]*\})(?=\s*\bfrom\b)/.source),lookbehind:!0,inside:e.languages.javascript},exports:{pattern:t(/(\bexport\b\s*)(?:\*(?:\s*as\s+<ID>)?(?=\s*\bfrom\b)|\{[^{}]*\})/.source),lookbehind:!0,inside:e.languages.javascript}}),e.languages.javascript.keyword.unshift({pattern:/\b(?:as|default|export|from|import)\b/,alias:"module"},{pattern:/\b(?:await|break|catch|continue|do|else|finally|for|if|return|switch|throw|try|while|yield)\b/,alias:"control-flow"},{pattern:/\bnull\b/,alias:["null","nil"]},{pattern:/\bundefined\b/,alias:"nil"}),e.languages.insertBefore("javascript","operator",{spread:{pattern:/\.{3}/,alias:"operator"},arrow:{pattern:/=>/,alias:"operator"}}),e.languages.insertBefore("javascript","punctuation",{"property-access":{pattern:t(/(\.\s*)#?<ID>/.source),lookbehind:!0},"maybe-class-name":{pattern:/(^|[^$\w\xA0-\uFFFF])[A-Z][$\w\xA0-\uFFFF]+/,lookbehind:!0},dom:{pattern:/\b(?:document|(?:local|session)Storage|location|navigator|performance|window)\b/,alias:"variable"},console:{pattern:/\bconsole(?=\s*\.)/,alias:"class-name"}});for(var n=["function","function-variable","method","method-variable","property-access"],r=0;r<n.length;r++){var a=n[r],o=e.languages.javascript[a];a=(o="RegExp"===e.util.type(o)?e.languages.javascript[a]={pattern:o}:o).inside||{};(o.inside=a)["maybe-class-name"]=/^[A-Z][\s\S]*/}}(C),function(e){var t=e.util.clone(e.languages.javascript),n=/(?:\s|\/\/.*(?!.)|\/\*(?:[^*]|\*(?!\/))\*\/)/.source,r=/(?:\{(?:\{(?:\{[^{}]*\}|[^{}])*\}|[^{}])*\})/.source,a=/(?:\{<S>*\.{3}(?:[^{}]|<BRACES>)*\})/.source;function o(e,t){return e=e.replace(/<S>/g,(function(){return n})).replace(/<BRACES>/g,(function(){return r})).replace(/<SPREAD>/g,(function(){return a})),RegExp(e,t)}function i(t){for(var n=[],r=0;r<t.length;r++){var a=t[r],o=!1;"string"!=typeof a&&("tag"===a.type&&a.content[0]&&"tag"===a.content[0].type?"</"===a.content[0].content[0].content?0<n.length&&n[n.length-1].tagName===c(a.content[0].content[1])&&n.pop():"/>"!==a.content[a.content.length-1].content&&n.push({tagName:c(a.content[0].content[1]),openedBraces:0}):0<n.length&&"punctuation"===a.type&&"{"===a.content?n[n.length-1].openedBraces++:0<n.length&&0<n[n.length-1].openedBraces&&"punctuation"===a.type&&"}"===a.content?n[n.length-1].openedBraces--:o=!0),(o||"string"==typeof a)&&0<n.length&&0===n[n.length-1].openedBraces&&(o=c(a),r<t.length-1&&("string"==typeof t[r+1]||"plain-text"===t[r+1].type)&&(o+=c(t[r+1]),t.splice(r+1,1)),0<r&&("string"==typeof t[r-1]||"plain-text"===t[r-1].type)&&(o=c(t[r-1])+o,t.splice(r-1,1),r--),t[r]=new e.Token("plain-text",o,null,o)),a.content&&"string"!=typeof a.content&&i(a.content)}}a=o(a).source,e.languages.jsx=e.languages.extend("markup",t),e.languages.jsx.tag.pattern=o(/<\/?(?:[\w.:-]+(?:<S>+(?:[\w.:$-]+(?:=(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s{'"/>=]+|<BRACES>))?|<SPREAD>))*<S>*\/?)?>/.source),e.languages.jsx.tag.inside.tag.pattern=/^<\/?[^\s>\/]*/,e.languages.jsx.tag.inside["attr-value"].pattern=/=(?!\{)(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s'">]+)/,e.languages.jsx.tag.inside.tag.inside["class-name"]=/^[A-Z]\w*(?:\.[A-Z]\w*)*$/,e.languages.jsx.tag.inside.comment=t.comment,e.languages.insertBefore("inside","attr-name",{spread:{pattern:o(/<SPREAD>/.source),inside:e.languages.jsx}},e.languages.jsx.tag),e.languages.insertBefore("inside","special-attr",{script:{pattern:o(/=<BRACES>/.source),alias:"language-javascript",inside:{"script-punctuation":{pattern:/^=(?=\{)/,alias:"punctuation"},rest:e.languages.jsx}}},e.languages.jsx.tag);var c=function(e){return e?"string"==typeof e?e:"string"==typeof e.content?e.content:e.content.map(c).join(""):""};e.hooks.add("after-tokenize",(function(e){"jsx"!==e.language&&"tsx"!==e.language||i(e.tokens)}))}(C),function(e){var t=e.util.clone(e.languages.typescript);(t=(e.languages.tsx=e.languages.extend("jsx",t),delete e.languages.tsx.parameter,delete e.languages.tsx["literal-property"],e.languages.tsx.tag)).pattern=RegExp(/(^|[^\w$]|(?=<\/))/.source+"(?:"+t.pattern.source+")",t.pattern.flags),t.lookbehind=!0}(C),C.languages.swift={comment:{pattern:/(^|[^\\:])(?:\/\/.*|\/\*(?:[^/*]|\/(?!\*)|\*(?!\/)|\/\*(?:[^*]|\*(?!\/))*\*\/)*\*\/)/,lookbehind:!0,greedy:!0},"string-literal":[{pattern:RegExp(/(^|[^"#])/.source+"(?:"+/"(?:\\(?:\((?:[^()]|\([^()]*\))*\)|\r\n|[^(])|[^\\\r\n"])*"/.source+"|"+/"""(?:\\(?:\((?:[^()]|\([^()]*\))*\)|[^(])|[^\\"]|"(?!""))*"""/.source+")"+/(?!["#])/.source),lookbehind:!0,greedy:!0,inside:{interpolation:{pattern:/(\\\()(?:[^()]|\([^()]*\))*(?=\))/,lookbehind:!0,inside:null},"interpolation-punctuation":{pattern:/^\)|\\\($/,alias:"punctuation"},punctuation:/\\(?=[\r\n])/,string:/[\s\S]+/}},{pattern:RegExp(/(^|[^"#])(#+)/.source+"(?:"+/"(?:\\(?:#+\((?:[^()]|\([^()]*\))*\)|\r\n|[^#])|[^\\\r\n])*?"/.source+"|"+/"""(?:\\(?:#+\((?:[^()]|\([^()]*\))*\)|[^#])|[^\\])*?"""/.source+")\\2"),lookbehind:!0,greedy:!0,inside:{interpolation:{pattern:/(\\#+\()(?:[^()]|\([^()]*\))*(?=\))/,lookbehind:!0,inside:null},"interpolation-punctuation":{pattern:/^\)|\\#+\($/,alias:"punctuation"},string:/[\s\S]+/}}],directive:{pattern:RegExp(/#/.source+"(?:"+/(?:elseif|if)\b/.source+"(?:[ \t]*"+/(?:![ \t]*)?(?:\b\w+\b(?:[ \t]*\((?:[^()]|\([^()]*\))*\))?|\((?:[^()]|\([^()]*\))*\))(?:[ 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e.languages.kotlin["class-name"];var t={"interpolation-punctuation":{pattern:/^\$\{?|\}$/,alias:"punctuation"},expression:{pattern:/[\s\S]+/,inside:e.languages.kotlin}};e.languages.insertBefore("kotlin","string",{"string-literal":[{pattern:/"""(?:[^$]|\$(?:(?!\{)|\{[^{}]*\}))*?"""/,alias:"multiline",inside:{interpolation:{pattern:/\$(?:[a-z_]\w*|\{[^{}]*\})/i,inside:t},string:/[\s\S]+/}},{pattern:/"(?:[^"\\\r\n$]|\\.|\$(?:(?!\{)|\{[^{}]*\}))*"/,alias:"singleline",inside:{interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$(?:[a-z_]\w*|\{[^{}]*\})/i,lookbehind:!0,inside:t},string:/[\s\S]+/}}],char:{pattern:/'(?:[^'\\\r\n]|\\(?:.|u[a-fA-F0-9]{0,4}))'/,greedy:!0}}),delete e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(C),C.languages.c=C.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),C.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),C.languages.insertBefore("c","string",{macro:{pattern:/(^[\t ]*)#\s*[a-z](?:[^\r\n\\/]|\/(?!\*)|\/\*(?:[^*]|\*(?!\/))*\*\/|\\(?:\r\n|[\s\S]))*/im,lookbehind:!0,greedy:!0,alias:"property",inside:{string:[{pattern:/^(#\s*include\s*)<[^>]+>/,lookbehind:!0},C.languages.c.string],char:C.languages.c.char,comment:C.languages.c.comment,"macro-name":[{pattern:/(^#\s*define\s+)\w+\b(?!\()/i,lookbehind:!0},{pattern:/(^#\s*define\s+)\w+\b(?=\()/i,lookbehind:!0,alias:"function"}],directive:{pattern:/^(#\s*)[a-z]+/,lookbehind:!0,alias:"keyword"},"directive-hash":/^#/,punctuation:/##|\\(?=[\r\n])/,expression:{pattern:/\S[\s\S]*/,inside:C.languages.c}}}}),C.languages.insertBefore("c","function",{constant:/\b(?:EOF|NULL|SEEK_CUR|SEEK_END|SEEK_SET|__DATE__|__FILE__|__LINE__|__TIMESTAMP__|__TIME__|__func__|stderr|stdin|stdout)\b/}),delete C.languages.c.boolean,C.languages.objectivec=C.languages.extend("c",{string:{pattern:/@?"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},keyword:/\b(?:asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|in|inline|int|long|register|return|self|short|signed|sizeof|static|struct|super|switch|typedef|typeof|union|unsigned|void|volatile|while)\b|(?:@interface|@end|@implementation|@protocol|@class|@public|@protected|@private|@property|@try|@catch|@finally|@throw|@synthesize|@dynamic|@selector)\b/,operator:/-[->]?|\+\+?|!=?|<<?=?|>>?=?|==?|&&?|\|\|?|[~^%?*\/@]/}),delete 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prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The CPC2 evaluation data has now been released."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/CPC2 eval data released">CPC2 eval data released</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2023-07-03T00:00:00.000Z" itemprop="datePublished">July 3, 2023</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The CPC2 evaluation data has now been released.</p> diff --git a/blog/Announcement of ICASSP 2023 Grand Challenge.html b/blog/Announcement of ICASSP 2023 Grand Challenge.html index 41df5292e..a02b8d217 100644 --- a/blog/Announcement of ICASSP 2023 Grand Challenge.html +++ b/blog/Announcement of ICASSP 2023 Grand Challenge.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce that registration for the ICASSP 2023 Clarity Grand Challenge is now open."><header><h1 class="title_f1Hy" itemprop="headline">Announcement of ICASSP 2023 Grand Challenge</h1><div class="container_mt6G margin-vert--md"><time datetime="2022-11-15T00:00:00.000Z" itemprop="datePublished">November 15, 2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.sheffield.ac.uk/dcs/people/research-staff/will-bailey" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Will Bailey</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>We are pleased to announce that registration for the <strong>ICASSP 2023 Clarity Grand Challenge</strong> is now open.</p> diff --git a/blog/Announcing CPC2.html b/blog/Announcing CPC2.html index 6c8ae5fe6..3293e576c 100644 --- a/blog/Announcing CPC2.html +++ b/blog/Announcing CPC2.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The 2nd Clarity Prediction Challenge - Register Now"><header><h1 class="title_f1Hy" itemprop="headline">Announcing the 2nd Clarity Prediction Challenge (CPC2)</h1><div class="container_mt6G margin-vert--md"><time datetime="2023-03-17T00:00:00.000Z" itemprop="datePublished">March 17, 2023</time> · <!-- -->2 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" 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itemprop="description" content="The evaluation dataset is now available to download from the myairbridge download site. The evaluation data filename is clarityCEC1data.sceneseval.v11.tgz."><header><h1 class="title_f1Hy" itemprop="headline">CEC1 eval data released</h1><div class="container_mt6G margin-vert--md"><time datetime="2021-06-02T00:00:00.000Z" itemprop="datePublished">June 2, 2021</time> · <!-- -->2 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>The evaluation dataset is now available to download from the myairbridge <a href="https://mab.to/I9mkGx4wsiiaX" target="_blank" rel="noopener noreferrer">download site</a>. The evaluation data filename is <code>clarity_CEC1_data.scenes_eval.v1_1.tgz</code>.</p> diff --git a/blog/CEC1 submissions received.html b/blog/CEC1 submissions received.html index 5080b0f8e..6dfb242c1 100644 --- a/blog/CEC1 submissions received.html +++ b/blog/CEC1 submissions received.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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class="navbar-sidebar__backdrop"></div></nav><div id="__docusaurus_skipToContent_fallback" class="main-wrapper mainWrapper_z2l0"><div class="container margin-vert--lg"><div class="row"><aside class="col col--3"><nav class="sidebar_re4s thin-scrollbar" aria-label="Blog recent posts navigation"><div class="sidebarItemTitle_pO2u margin-bottom--md">Recent posts</div><ul class="sidebarItemList_Yudw clean-list"><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC2 eval data released">CPC2 eval data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data 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itemprop="description" content="The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals."><header><h1 class="title_f1Hy" itemprop="headline">CEC1 submissions received</h1><div class="container_mt6G margin-vert--md"><time datetime="2021-06-16T00:00:00.000Z" itemprop="datePublished">June 16, 2021</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals.</p> diff --git a/blog/CEC2 registration open.html b/blog/CEC2 registration open.html index 6af61a6ac..0bddabcc8 100644 --- a/blog/CEC2 registration open.html +++ b/blog/CEC2 registration open.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" 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mainWrapper_z2l0"><div class="container margin-vert--lg"><div class="row"><aside class="col col--3"><nav class="sidebar_re4s thin-scrollbar" aria-label="Blog recent posts navigation"><div class="sidebarItemTitle_pO2u margin-bottom--md">Recent posts</div><ul class="sidebarItemList_Yudw clean-list"><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC2 eval data released">CPC2 eval data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a aria-current="page" class="sidebarItemLink_mo7H sidebarItemLinkActive_I1ZP" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce that registration for the 2nd Clarity Enhancement Challenge (CEC2) is now open."><header><h1 class="title_f1Hy" itemprop="headline">CEC2 registration open</h1><div class="container_mt6G margin-vert--md"><time datetime="2022-05-03T00:00:00.000Z" itemprop="datePublished">May 3, 2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>We are pleased to announce that registration for the <strong>2nd Clarity Enhancement Challenge (CEC2)</strong> is now open.</p> diff --git a/blog/CPC1 results and prizes.html b/blog/CPC1 results and prizes.html index f9d6d1b41..4ddd824ff 100644 --- a/blog/CPC1 results and prizes.html +++ b/blog/CPC1 results and prizes.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script 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Thank you to all who took part!"><header><h1 class="title_f1Hy" itemprop="headline">CPC1 results and prizes</h1><div class="container_mt6G margin-vert--md"><time datetime="2022-07-10T00:00:00.000Z" itemprop="datePublished">July 10, 2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>The 1st Clarity Prediction Challenge is now complete. 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data has now been released."><header><h1 class="title_f1Hy" itemprop="headline">CPC2 eval data released</h1><div class="container_mt6G margin-vert--md"><time datetime="2023-07-03T00:00:00.000Z" itemprop="datePublished">July 3, 2023</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>The CPC2 evaluation data has now been released.</p> diff --git a/blog/Clarity Challenge pre-announcement.html b/blog/Clarity Challenge pre-announcement.html index 2996b00e9..7700f1b73 100644 --- a/blog/Clarity Challenge pre-announcement.html +++ b/blog/Clarity Challenge pre-announcement.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script 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class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don’t use them. A key reason is simply that hearing aids don’t provide enough benefit."><header><h1 class="title_f1Hy" itemprop="headline">Clarity Challenge pre-announcement</h1><div class="container_mt6G margin-vert--md"><time datetime="2020-11-24T00:00:00.000Z" itemprop="datePublished">November 24, 2020</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>Although age-related hearing loss affects 40% of 55 to 74 year-olds, the majority of adults who would benefit from hearing aids don’t use them. A key reason is simply that hearing aids don’t provide enough benefit.</p> diff --git a/blog/Clarity-2023 Workshop @ Interspeech, Dublin.html b/blog/Clarity-2023 Workshop @ Interspeech, Dublin.html index 08a5fc20a..26d7b518a 100644 --- a/blog/Clarity-2023 Workshop @ Interspeech, Dublin.html +++ b/blog/Clarity-2023 Workshop @ Interspeech, Dublin.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce the 4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023)."><header><h1 class="title_f1Hy" itemprop="headline">Clarity-2023 Workshop @ Interspeech, Dublin</h1><div class="container_mt6G margin-vert--md"><time datetime="2023-06-21T00:00:00.000Z" itemprop="datePublished">June 21, 2023</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>We are pleased to announce the <strong>4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023)</strong>.</p> diff --git a/blog/Hearing loss simulation.html b/blog/Hearing loss simulation.html index 659ff75d7..bfb1926d5 100644 --- a/blog/Hearing loss simulation.html +++ b/blog/Hearing loss simulation.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script 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href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss.</p> diff --git a/blog/ICASSP 2023 evaluation data released.html b/blog/ICASSP 2023 evaluation data released.html index ab4cec47f..ba54e5c16 100644 --- a/blog/ICASSP 2023 evaluation data released.html +++ b/blog/ICASSP 2023 evaluation data released.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> 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class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download."><header><h1 class="title_f1Hy" itemprop="headline">ICASSP 2023 evaluation data released</h1><div class="container_mt6G margin-vert--md"><time datetime="2023-02-02T00:00:00.000Z" itemprop="datePublished">February 2, 2023</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download.</p> diff --git a/blog/Jan-2-live-events.html b/blog/Jan-2-live-events.html index 75736a619..b23d69a46 100644 --- a/blog/Jan-2-live-events.html +++ b/blog/Jan-2-live-events.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script 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class="sidebarItemLink_mo7H" href="/blog/CPC2 eval data released">CPC2 eval data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a aria-current="page" class="sidebarItemLink_mo7H sidebarItemLinkActive_I1ZP" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up."><header><h1 class="title_f1Hy" itemprop="headline">Live events in January</h1><div class="container_mt6G margin-vert--md"><time datetime="2022-01-07T00:00:00.000Z" itemprop="datePublished">January 7, 2022</time> · <!-- -->2 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://acoustictesting.salford.ac.uk/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/LaraHarris-Salford" alt="Lara Harris" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://acoustictesting.salford.ac.uk/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Lara Harris</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up.</p> diff --git a/blog/Latency, computation time and real-time operation.html b/blog/Latency, computation time and real-time operation.html index 794881daf..eec9c1947 100644 --- a/blog/Latency, computation time and real-time operation.html +++ b/blog/Latency, computation time and real-time operation.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script 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alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>An explanation of the time and computational limits for the first round of the enhancement challenge.</p> diff --git a/blog/One approach to our enhancement challenge.html b/blog/One approach to our enhancement challenge.html index c5c21c71a..a3700d5be 100644 --- a/blog/One approach to our enhancement challenge.html +++ b/blog/One approach to our enhancement challenge.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script 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A suggested approach to overcome the non-differentiable loss function."><header><h1 class="title_f1Hy" itemprop="headline">One approach to our enhancement challenge</h1><div class="container_mt6G margin-vert--md"><time datetime="2020-07-29T00:00:00.000Z" itemprop="datePublished">July 29, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>Improving hearing aid processing using DNNs blog. 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mainWrapper_z2l0"><div class="container margin-vert--lg"><div class="row"><aside class="col col--3"><nav class="sidebar_re4s thin-scrollbar" aria-label="Blog recent posts navigation"><div class="sidebarItemTitle_pO2u margin-bottom--md">Recent posts</div><ul class="sidebarItemList_Yudw clean-list"><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC2 eval data released">CPC2 eval data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We’ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group."><header><h1 class="title_f1Hy" itemprop="headline">Sounds for round one</h1><div class="container_mt6G margin-vert--md"><time datetime="2020-06-18T00:00:00.000Z" itemprop="datePublished">June 18, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>We’ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.</p> diff --git a/blog/The baseline.html b/blog/The baseline.html index 4c9435050..b789a3b47 100644 --- a/blog/The baseline.html +++ b/blog/The baseline.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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itemprop="description" content="An overview of the current state of the baseline we’re developing for the machine learning challenges"><header><h1 class="title_f1Hy" itemprop="headline">The baseline</h1><div class="container_mt6G margin-vert--md"><time datetime="2020-04-29T00:00:00.000Z" itemprop="datePublished">April 29, 2020</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>An overview of the current state of the baseline we’re developing for the machine learning challenges</p> diff --git a/blog/The speech-in-noise problem part two.html b/blog/The speech-in-noise problem part two.html index 9ad1201da..83dfbde4f 100644 --- a/blog/The speech-in-noise problem part two.html +++ b/blog/The speech-in-noise problem part two.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" 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We’ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids."><header><h1 class="title_f1Hy" itemprop="headline">The speech-in-noise problem part two</h1><div class="container_mt6G margin-vert--md"><time datetime="2020-07-06T00:00:00.000Z" itemprop="datePublished">July 6, 2020</time> · <!-- -->5 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>How hearing aids address the problem of speech-in-noise in noisy and quieter places. We’ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids.</p> diff --git a/blog/The speech-in-noise problem.html b/blog/The speech-in-noise problem.html index 1ab4b762c..b9829d979 100644 --- a/blog/The speech-in-noise problem.html +++ b/blog/The speech-in-noise problem.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link 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itemprop="description" content="People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address."><link itemprop="image" href="https://i.imgur.com/mErPwqL.png"><header><h1 class="title_f1Hy" itemprop="headline">The speech-in-noise problem</h1><div class="container_mt6G margin-vert--md"><time datetime="2020-06-18T00:00:00.000Z" itemprop="datePublished">June 18, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.</p> diff --git a/blog/Why use machine learning challenges for hearing aids.html b/blog/Why use machine learning challenges for hearing aids.html index ad062db03..39bdc8259 100644 --- a/blog/Why use machine learning challenges for hearing aids.html +++ b/blog/Why use machine learning challenges for hearing aids.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" 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class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:"><header><h1 class="title_f1Hy" itemprop="headline">Why use machine learning challenges for hearing aids?</h1><div class="container_mt6G margin-vert--md"><time datetime="2020-05-06T00:00:00.000Z" itemprop="datePublished">May 6, 2020</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:</p> diff --git a/blog/archive.html b/blog/archive.html index 7f9eaed66..3169e06a1 100644 --- a/blog/archive.html +++ b/blog/archive.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script src="/assets/js/main.de9aca35.js" 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class="title_f1Hy" itemprop="headline">Baseline speech intelligibility model in round one</h1><div class="container_mt6G margin-vert--md"><time datetime="2021-04-22T00:00:00.000Z" itemprop="datePublished">April 22, 2021</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="some-comments-on-signal-alignment-and-level-insensitivity">Some comments on signal alignment and level-insensitivity<a href="#some-comments-on-signal-alignment-and-level-insensitivity" class="hash-link" aria-label="Direct link to Some comments on signal alignment and level-insensitivity" title="Direct link to Some comments on signal alignment and level-insensitivity">​</a></h3> diff --git a/blog/launch of CEC2.html b/blog/launch of CEC2.html index ee6af33a1..53aa1cb96 100644 --- a/blog/launch of CEC2.html +++ b/blog/launch of CEC2.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script 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href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a aria-current="page" class="sidebarItemLink_mo7H sidebarItemLinkActive_I1ZP" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce the launch of the 2nd Clarity Enhancement Challenge (CEC2)."><header><h1 class="title_f1Hy" itemprop="headline">Launch of CEC2</h1><div class="container_mt6G margin-vert--md"><time datetime="2022-03-30T00:00:00.000Z" itemprop="datePublished">March 30, 2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>We are pleased to announce the launch of the <strong>2nd Clarity Enhancement Challenge (CEC2)</strong>.</p> diff --git a/blog/release of CEC2 baseline.html b/blog/release of CEC2 baseline.html index cf1f836e8..6edeb539c 100644 --- a/blog/release of CEC2 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CEC2 baseline</h1><div class="container_mt6G margin-vert--md"><time datetime="2022-05-02T00:00:00.000Z" itemprop="datePublished">May 2, 2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>We are pleased to announce the release of the <strong>2nd Clarity Enhancement Challenge (CEC2)</strong> baseline system code.</p> diff --git a/blog/tags.html b/blog/tags.html index a2f7f435f..45379e85f 100644 --- a/blog/tags.html +++ b/blog/tags.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>5 posts tagged with "announcement"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The CPC2 evaluation data has now been released."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/CPC2 eval data released">CPC2 eval data released</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2023-07-03T00:00:00.000Z" itemprop="datePublished">July 3, 2023</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The CPC2 evaluation data has now been released.</p> diff --git a/blog/tags/audibility.html b/blog/tags/audibility.html index 47fa9b9cf..9a8ff520c 100644 --- a/blog/tags/audibility.html +++ b/blog/tags/audibility.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" 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href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="some-comments-on-signal-alignment-and-level-insensitivity">Some comments on signal alignment and level-insensitivity<a href="#some-comments-on-signal-alignment-and-level-insensitivity" class="hash-link" aria-label="Direct link to Some comments on signal alignment and level-insensitivity" title="Direct link to Some comments on signal alignment and level-insensitivity">​</a></h3> diff --git a/blog/tags/baseline.html b/blog/tags/baseline.html index e21a4675f..f053d9dfd 100644 --- a/blog/tags/baseline.html +++ b/blog/tags/baseline.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> 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href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce the release of the 2nd Clarity Enhancement Challenge (CEC2) baseline system code."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2022-05-02T00:00:00.000Z" itemprop="datePublished">May 2, 2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>We are pleased to announce the release of the <strong>2nd Clarity Enhancement Challenge (CEC2)</strong> baseline system code.</p> diff --git a/blog/tags/c-hi-me.html b/blog/tags/c-hi-me.html index afb22fcf6..e2c2de4ed 100644 --- a/blog/tags/c-hi-me.html +++ b/blog/tags/c-hi-me.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script 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href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>One post tagged with "CHiME"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Why use machine learning challenges for hearing aids">Why use machine learning challenges for hearing aids?</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-05-06T00:00:00.000Z" itemprop="datePublished">May 6, 2020</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:</p> diff --git a/blog/tags/cec-1.html b/blog/tags/cec-1.html index 47534e0a7..255fbd07b 100644 --- a/blog/tags/cec-1.html +++ b/blog/tags/cec-1.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script 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ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>6 posts tagged with "CEC1"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/CEC1 submissions received">CEC1 submissions received</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-06-16T00:00:00.000Z" itemprop="datePublished">June 16, 2021</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals.</p> diff --git a/blog/tags/cec-2.html b/blog/tags/cec-2.html index fe86be0d3..064fe69d6 100644 --- a/blog/tags/cec-2.html +++ b/blog/tags/cec-2.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2023-02-02T00:00:00.000Z" itemprop="datePublished">February 2, 2023</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download.</p> diff --git a/blog/tags/challenge.html b/blog/tags/challenge.html index 5484a4d35..f3736c568 100644 --- a/blog/tags/challenge.html +++ b/blog/tags/challenge.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script 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class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>An explanation of the time and computational limits for the first round of the enhancement challenge.</p> diff --git a/blog/tags/challenges.html b/blog/tags/challenges.html index 5137dbcae..cf5b9d50a 100644 --- a/blog/tags/challenges.html +++ b/blog/tags/challenges.html @@ -23,9 +23,9 @@ <link 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aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Why use machine learning challenges for hearing aids">Why use machine learning challenges for hearing aids?</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-05-06T00:00:00.000Z" itemprop="datePublished">May 6, 2020</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:</p> diff --git a/blog/tags/clarity.html b/blog/tags/clarity.html index 947c0ad66..7dccffedd 100644 --- a/blog/tags/clarity.html +++ b/blog/tags/clarity.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script 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ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>15 posts tagged with "clarity"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The CPC2 evaluation data has now been released."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/CPC2 eval data released">CPC2 eval data released</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2023-07-03T00:00:00.000Z" itemprop="datePublished">July 3, 2023</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The CPC2 evaluation data has now been released.</p> diff --git a/blog/tags/cocktail-party.html b/blog/tags/cocktail-party.html index 2e1122773..c1541b183 100644 --- a/blog/tags/cocktail-party.html +++ b/blog/tags/cocktail-party.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" 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class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.</p> diff --git a/blog/tags/computation.html b/blog/tags/computation.html index e97b64dad..736bc8b95 100644 --- a/blog/tags/computation.html +++ b/blog/tags/computation.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script 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challenge."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Latency, computation time and real-time operation">Latency, computation time and real-time operation</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-03-05T00:00:00.000Z" itemprop="datePublished">March 5, 2021</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>An explanation of the time and computational limits for the first round of the enhancement challenge.</p> diff --git a/blog/tags/cpc-1.html b/blog/tags/cpc-1.html index f5542261c..f3d1229e1 100644 --- a/blog/tags/cpc-1.html +++ b/blog/tags/cpc-1.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script 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class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>3 posts tagged with "CPC1"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Jan-2-live-events">Live events in January</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2022-01-07T00:00:00.000Z" itemprop="datePublished">January 7, 2022</time> · <!-- -->2 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://acoustictesting.salford.ac.uk/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/LaraHarris-Salford" alt="Lara Harris" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://acoustictesting.salford.ac.uk/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Lara Harris</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up.</p> diff --git a/blog/tags/cpc-2.html b/blog/tags/cpc-2.html index 8bfd74fb4..b2cde43d7 100644 --- a/blog/tags/cpc-2.html +++ b/blog/tags/cpc-2.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The CPC2 evaluation data has now been released."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/CPC2 eval data released">CPC2 eval data released</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2023-07-03T00:00:00.000Z" itemprop="datePublished">July 3, 2023</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The CPC2 evaluation data has now been released.</p> diff --git a/blog/tags/dnn.html b/blog/tags/dnn.html index 4672820af..1b870da83 100644 --- a/blog/tags/dnn.html +++ b/blog/tags/dnn.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" 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A suggested approach to overcome the non-differentiable loss function."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/One approach to our enhancement challenge">One approach to our enhancement challenge</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-07-29T00:00:00.000Z" itemprop="datePublished">July 29, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>Improving hearing aid processing using DNNs blog. 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="An explanation of the time and computational limits for the first round of the enhancement challenge."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Latency, computation time and real-time operation">Latency, computation time and real-time operation</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-03-05T00:00:00.000Z" itemprop="datePublished">March 5, 2021</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>An explanation of the time and computational limits for the first round of the enhancement challenge.</p> diff --git a/blog/tags/evaluation.html b/blog/tags/evaluation.html index 7fa384553..cddd84441 100644 --- a/blog/tags/evaluation.html +++ b/blog/tags/evaluation.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> 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released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>2 posts tagged with "evaluation"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The evaluation dataset is now available to download from the myairbridge download site. The evaluation data filename is clarityCEC1data.sceneseval.v11.tgz."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/CEC1 eval data released">CEC1 eval data released</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-06-02T00:00:00.000Z" itemprop="datePublished">June 2, 2021</time> · <!-- -->2 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The evaluation dataset is now available to download from the myairbridge <a href="https://mab.to/I9mkGx4wsiiaX" target="_blank" rel="noopener noreferrer">download site</a>. The evaluation data filename is <code>clarity_CEC1_data.scenes_eval.v1_1.tgz</code>.</p> diff --git a/blog/tags/focus-group.html b/blog/tags/focus-group.html index 615ee297d..ff7d0c58a 100644 --- a/blog/tags/focus-group.html +++ b/blog/tags/focus-group.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We’ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Sounds">Sounds for round one</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-06-18T00:00:00.000Z" itemprop="datePublished">June 18, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>We’ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.</p> diff --git a/blog/tags/gan.html b/blog/tags/gan.html index a0f65aa50..7fbf7b40a 100644 --- a/blog/tags/gan.html +++ b/blog/tags/gan.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/One approach to our enhancement challenge">One approach to our enhancement challenge</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-07-29T00:00:00.000Z" itemprop="datePublished">July 29, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function.</p> diff --git a/blog/tags/haspi.html b/blog/tags/haspi.html index 4a24fcb94..9cee6f025 100644 --- a/blog/tags/haspi.html +++ b/blog/tags/haspi.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce the release of the 2nd Clarity Enhancement Challenge (CEC2) baseline system code."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2022-05-02T00:00:00.000Z" itemprop="datePublished">May 2, 2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>We are pleased to announce the release of the <strong>2nd Clarity Enhancement Challenge (CEC2)</strong> baseline system code.</p> diff --git a/blog/tags/hearing-aid.html b/blog/tags/hearing-aid.html index 26ebbac6a..6961761dc 100644 --- a/blog/tags/hearing-aid.html +++ b/blog/tags/hearing-aid.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" 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released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>2 posts tagged with "hearing aid"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/One approach to our enhancement challenge">One approach to our enhancement challenge</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-07-29T00:00:00.000Z" itemprop="datePublished">July 29, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function.</p> diff --git a/blog/tags/hearing-loss-simulation.html b/blog/tags/hearing-loss-simulation.html index f5ccfa168..f6e90370f 100644 --- a/blog/tags/hearing-loss-simulation.html +++ b/blog/tags/hearing-loss-simulation.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Hearing loss simulation">Hearing loss simulation</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-06-23T00:00:00.000Z" itemprop="datePublished">June 23, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>What our hearing loss algorithms simulate, with audio examples to illustrate hearing loss.</p> diff --git a/blog/tags/hearing.html b/blog/tags/hearing.html index e2f28433d..a5634f496 100644 --- a/blog/tags/hearing.html +++ b/blog/tags/hearing.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link 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href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address."><link itemprop="image" href="https://i.imgur.com/mErPwqL.png"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/The speech-in-noise problem">The speech-in-noise problem</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-06-18T00:00:00.000Z" itemprop="datePublished">June 18, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.</p> diff --git a/blog/tags/hello.html b/blog/tags/hello.html index 522390680..832fd417b 100644 --- a/blog/tags/hello.html +++ b/blog/tags/hello.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script 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released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>2 posts tagged with "hello"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we're still doing listening tests and preparing the data, so the download links don't work. If anything is unclear or you've got questions, please contact us through the Google group."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/welcome to CPC1">Welcome to CPC1</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-07-08T00:00:00.000Z" itemprop="datePublished">July 8, 2021</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we're still doing listening tests and preparing the data, so the download links don't work. If anything is unclear or you've got questions, please contact us through the Google group.</p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/clarity">clarity</a></li><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/hello">hello</a></li><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/cpc-1">CPC1</a></li></ul></div></footer></article><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/welcome">Welcome</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-04-28T00:00:00.000Z" itemprop="datePublished">April 28, 2020</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems.</p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/clarity">clarity</a></li><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/hello">hello</a></li><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/cec-1">CEC1</a></li></ul></div></footer></article><nav class="pagination-nav" aria-label="Blog list page navigation"></nav></main></div></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/cec3/cec3_intro">CEC3 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc2/cpc2_intro">CPC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/icassp2023/icassp2023_intro">ICASSP 2023 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec2/cec2_intro">CEC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc1/cpc1_intro">CPC1 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec1/cec1_intro">CEC1 Documentation</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="http://claritychallenge.org" target="_blank" rel="noopener noreferrer" class="footer__link-item">The Clarity Project<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://groups.google.com/g/clarity-challenge" target="_blank" rel="noopener noreferrer" class="footer__link-item">Clarity Google Group<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="mailto:claritychallengecontact@gmail.com" target="_blank" rel="noopener noreferrer" class="footer__link-item">Email Us<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/blog">Challenge Updates</a></li><li class="footer__item"><a href="https://github.com/claritychallenge/clarity" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 The Clarity Team. 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ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>One post tagged with "ICASSP2023"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2023-02-02T00:00:00.000Z" itemprop="datePublished">February 2, 2023</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download.</p> diff --git a/blog/tags/intelligibility.html b/blog/tags/intelligibility.html index 28b62f4d7..d9d566a24 100644 --- a/blog/tags/intelligibility.html +++ b/blog/tags/intelligibility.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script 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class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>One post tagged with "intelligibility"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Some comments on signal alignment and level-insensitivity"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/baseline">Baseline speech intelligibility model in round one</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-04-22T00:00:00.000Z" itemprop="datePublished">April 22, 2021</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="some-comments-on-signal-alignment-and-level-insensitivity">Some comments on signal alignment and level-insensitivity<a href="#some-comments-on-signal-alignment-and-level-insensitivity" class="hash-link" aria-label="Direct link to Some comments on signal alignment and level-insensitivity" title="Direct link to Some comments on signal alignment and level-insensitivity">​</a></h3> diff --git a/blog/tags/knowledge-distillation.html b/blog/tags/knowledge-distillation.html index 96fa8ea35..d998f340d 100644 --- a/blog/tags/knowledge-distillation.html +++ b/blog/tags/knowledge-distillation.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link 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A suggested approach to overcome the non-differentiable loss function."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/One approach to our enhancement challenge">One approach to our enhancement challenge</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-07-29T00:00:00.000Z" itemprop="datePublished">July 29, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>Improving hearing aid processing using DNNs blog. A suggested approach to overcome the non-differentiable loss function.</p> diff --git a/blog/tags/latency.html b/blog/tags/latency.html index d3c202162..a0c314cc0 100644 --- a/blog/tags/latency.html +++ b/blog/tags/latency.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="An explanation of the time and computational limits for the first round of the enhancement challenge."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Latency, computation time and real-time operation">Latency, computation time and real-time operation</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-03-05T00:00:00.000Z" itemprop="datePublished">March 5, 2021</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>An explanation of the time and computational limits for the first round of the enhancement challenge.</p> diff --git a/blog/tags/launch.html b/blog/tags/launch.html index 18e64be40..5eb40de51 100644 --- a/blog/tags/launch.html +++ b/blog/tags/launch.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script 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2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>We are pleased to announce the launch of the <strong>2nd Clarity Enhancement Challenge (CEC2)</strong>.</p> diff --git 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="How hearing aids address the problem of speech-in-noise in noisy and quieter places. We’ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/The speech-in-noise problem part two">The speech-in-noise problem part two</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-07-06T00:00:00.000Z" itemprop="datePublished">July 6, 2020</time> · <!-- -->5 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>How hearing aids address the problem of speech-in-noise in noisy and quieter places. We’ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids.</p> diff --git a/blog/tags/mbstoi.html b/blog/tags/mbstoi.html index 990d1a7b2..a5081f6c0 100644 --- a/blog/tags/mbstoi.html +++ b/blog/tags/mbstoi.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Some comments on signal alignment and level-insensitivity"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/baseline">Baseline speech intelligibility model in round one</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-04-22T00:00:00.000Z" itemprop="datePublished">April 22, 2021</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="some-comments-on-signal-alignment-and-level-insensitivity">Some comments on signal alignment and level-insensitivity<a href="#some-comments-on-signal-alignment-and-level-insensitivity" class="hash-link" aria-label="Direct link to Some comments on signal alignment and level-insensitivity" title="Direct link to Some comments on signal alignment and level-insensitivity">​</a></h3> diff --git a/blog/tags/noise.html b/blog/tags/noise.html index ec750dd30..a890d868e 100644 --- a/blog/tags/noise.html +++ b/blog/tags/noise.html @@ -23,9 +23,9 @@ 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navigation"><div class="sidebarItemTitle_pO2u margin-bottom--md">Recent posts</div><ul class="sidebarItemList_Yudw clean-list"><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC2 eval data released">CPC2 eval data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and 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impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Sounds">Sounds for round one</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-06-18T00:00:00.000Z" itemprop="datePublished">June 18, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>We’ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.</p> diff --git a/blog/tags/prediction.html b/blog/tags/prediction.html index d95647811..c89b674a6 100644 --- a/blog/tags/prediction.html +++ b/blog/tags/prediction.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Why use machine learning challenges for hearing aids">Why use machine learning challenges for hearing aids?</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-05-06T00:00:00.000Z" itemprop="datePublished">May 6, 2020</time> · <!-- -->3 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The Clarity Project is based around the idea that machine learning challenges could improve hearing aid signal processing. After all this has happened in other areas, such as automatic speech recognition (ASR) in the presence of noise. The improvements in ASR have happened because of:</p> diff --git a/blog/tags/processing.html b/blog/tags/processing.html index 941dcf3a7..18e6048a7 100644 --- a/blog/tags/processing.html +++ b/blog/tags/processing.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="An overview of the current state of the baseline we’re developing for the machine learning challenges"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/The baseline">The baseline</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-04-29T00:00:00.000Z" itemprop="datePublished">April 29, 2020</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>An overview of the current state of the baseline we’re developing for the machine learning challenges</p> diff --git a/blog/tags/real-time.html b/blog/tags/real-time.html index 4a9776b9e..7ae162e27 100644 --- a/blog/tags/real-time.html +++ b/blog/tags/real-time.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script 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class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>An explanation of the time and computational limits for the first round of the enhancement challenge.</p> diff --git a/blog/tags/registration.html b/blog/tags/registration.html index 3e2782373..b1ba1f8cc 100644 --- a/blog/tags/registration.html +++ b/blog/tags/registration.html @@ -23,9 +23,9 @@ <link 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Thank you to all who took part!"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2022-07-10T00:00:00.000Z" itemprop="datePublished">July 10, 2022</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The 1st Clarity Prediction Challenge is now complete. Thank you to all who took part!</p> diff --git a/blog/tags/sounds.html b/blog/tags/sounds.html index c0cb9b945..a66805ff0 100644 --- a/blog/tags/sounds.html +++ b/blog/tags/sounds.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script src="/assets/js/main.de9aca35.js" 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itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="We’ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Sounds">Sounds for round one</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-06-18T00:00:00.000Z" itemprop="datePublished">June 18, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>We’ll be challenging our contestants to find innovative ways of making speech more audible for hearing impaired listeners when there is noise getting in the way. But what noises should we consider? To aid us in choosing sounds and situations that are relevant to people with hearing aids, we held a focus group.</p> diff --git a/blog/tags/speech-in-noise.html b/blog/tags/speech-in-noise.html index 7ee6c48a2..9e60e57cc 100644 --- a/blog/tags/speech-in-noise.html +++ b/blog/tags/speech-in-noise.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> 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href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="How hearing aids address the problem of speech-in-noise in noisy and quieter places. We’ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/The speech-in-noise problem part two">The speech-in-noise problem part two</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-07-06T00:00:00.000Z" itemprop="datePublished">July 6, 2020</time> · <!-- -->5 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>How hearing aids address the problem of speech-in-noise in noisy and quieter places. We’ll also discuss what machine learning techniques are often used for noise reduction, and some promising strategies for hearing aids.</p> diff --git a/blog/tags/speech.html b/blog/tags/speech.html index e977d6145..9eadb8c85 100644 --- a/blog/tags/speech.html +++ b/blog/tags/speech.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script 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href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address."><link itemprop="image" href="https://i.imgur.com/mErPwqL.png"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/The speech-in-noise problem">The speech-in-noise problem</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2020-06-18T00:00:00.000Z" itemprop="datePublished">June 18, 2020</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/sgraetzer" alt="Simone Graetzer" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://www.salford.ac.uk/our-staff/simone-graetzer" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Simone Graetzer</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>People often have problems understanding speech in noise, and this is one of the main deficits of hearing aids that our machine learning challenges will address.</p> diff --git a/blog/tags/submission.html b/blog/tags/submission.html index 1be3b5117..8205c0b7d 100644 --- a/blog/tags/submission.html +++ b/blog/tags/submission.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script 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released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" 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Thank you to all the teams who sent us signals."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/CEC1 submissions received">CEC1 submissions received</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2021-06-16T00:00:00.000Z" itemprop="datePublished">June 16, 2021</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals.</p> diff --git a/blog/tags/webinar.html b/blog/tags/webinar.html index 5f69f6529..13ca1f6b8 100644 --- a/blog/tags/webinar.html +++ b/blog/tags/webinar.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script 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ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>2 posts tagged with "webinar"</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up."><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/Jan-2-live-events">Live events in January</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2022-01-07T00:00:00.000Z" itemprop="datePublished">January 7, 2022</time> · <!-- -->2 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://acoustictesting.salford.ac.uk/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/LaraHarris-Salford" alt="Lara Harris" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://acoustictesting.salford.ac.uk/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Lara Harris</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>The Clarity team are hosting two live sessions this month related to the Prediction Challenge. Everyone is welcome to attend, whether or not you have registered to participate in the challenge or are still considering signing up.</p> diff --git a/blog/webinar-1-link.html b/blog/webinar-1-link.html index 188ff930b..0fc86123a 100644 --- a/blog/webinar-1-link.html +++ b/blog/webinar-1-link.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> 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itemprop="description" content="The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online:"><header><h1 class="title_f1Hy" itemprop="headline">Introduction Webinar - Recording Available</h1><div class="container_mt6G margin-vert--md"><time datetime="2021-12-13T00:00:00.000Z" itemprop="datePublished">December 13, 2021</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://acoustictesting.salford.ac.uk/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/LaraHarris-Salford" alt="Lara Harris" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://acoustictesting.salford.ac.uk/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Lara Harris</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online:</p> diff --git a/blog/welcome to CPC1.html b/blog/welcome to CPC1.html index 140094a52..eee2cb6bf 100644 --- a/blog/welcome to CPC1.html +++ b/blog/welcome to CPC1.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.e4cad503.css"> +<script src="/assets/js/runtime~main.052614b3.js" defer="defer"></script> +<script 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mainWrapper_z2l0"><div class="container margin-vert--lg"><div class="row"><aside class="col col--3"><nav class="sidebar_re4s thin-scrollbar" aria-label="Blog recent posts navigation"><div class="sidebarItemTitle_pO2u margin-bottom--md">Recent posts</div><ul class="sidebarItemList_Yudw clean-list"><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC2 eval data released">CPC2 eval data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we're still doing listening tests and preparing the data, so the download links don't work. If anything is unclear or you've got questions, please contact us through the Google group."><header><h1 class="title_f1Hy" itemprop="headline">Welcome to CPC1</h1><div class="container_mt6G margin-vert--md"><time datetime="2021-07-08T00:00:00.000Z" itemprop="datePublished">July 8, 2021</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/trevorjcox" alt="Trevor Cox" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://trevorcox.me/trevor-cox" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Trevor Cox</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we're still doing listening tests and preparing the data, so the download links don't work. If anything is unclear or you've got questions, please contact us through the Google group.</p></div><footer class="row docusaurus-mt-lg blogPostFooterDetailsFull_mRVl"><div class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/clarity">clarity</a></li><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/hello">hello</a></li><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/blog/tags/cpc-1">CPC1</a></li></ul></div></footer></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Blog post page navigation"><a class="pagination-nav__link pagination-nav__link--prev" href="/blog/webinar-1-link"><div class="pagination-nav__sublabel">Newer Post</div><div class="pagination-nav__label">Introduction Webinar - Recording Available</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/blog/CEC1 submissions received"><div class="pagination-nav__sublabel">Older Post</div><div class="pagination-nav__label">CEC1 submissions received</div></a></nav></main></div></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/cec3/cec3_intro">CEC3 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc2/cpc2_intro">CPC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/icassp2023/icassp2023_intro">ICASSP 2023 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec2/cec2_intro">CEC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc1/cpc1_intro">CPC1 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec1/cec1_intro">CEC1 Documentation</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="http://claritychallenge.org" target="_blank" rel="noopener noreferrer" class="footer__link-item">The Clarity Project<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://groups.google.com/g/clarity-challenge" target="_blank" rel="noopener noreferrer" class="footer__link-item">Clarity Google Group<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="mailto:claritychallengecontact@gmail.com" target="_blank" rel="noopener noreferrer" class="footer__link-item">Email Us<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/blog">Challenge Updates</a></li><li class="footer__item"><a href="https://github.com/claritychallenge/clarity" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 The Clarity Team. 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mainWrapper_z2l0"><div class="container margin-vert--lg"><div class="row"><aside class="col col--3"><nav class="sidebar_re4s thin-scrollbar" aria-label="Blog recent posts navigation"><div class="sidebarItemTitle_pO2u margin-bottom--md">Recent posts</div><ul class="sidebarItemList_Yudw clean-list"><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC2 eval data released">CPC2 eval data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Clarity-2023 Workshop @ Interspeech, Dublin">Clarity-2023 Workshop @ Interspeech, Dublin</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcing CPC2">Announcing the 2nd Clarity Prediction Challenge (CPC2)</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/ICASSP 2023 evaluation data released">ICASSP 2023 evaluation data released</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Announcement of ICASSP 2023 Grand Challenge">Announcement of ICASSP 2023 Grand Challenge</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CPC1 results and prizes">CPC1 results and prizes</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/CEC2 registration open">CEC2 registration open</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/release of CEC2 baseline">Release of CEC2 baseline</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/launch of CEC2">Launch of CEC2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/Jan-2-live-events">Live events in January</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><article itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems."><header><h1 class="title_f1Hy" itemprop="headline">Welcome</h1><div class="container_mt6G margin-vert--md"><time datetime="2020-04-28T00:00:00.000Z" itemprop="datePublished">April 28, 2020</time> · <!-- -->One min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/jonbarker68" alt="Jon Barker" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="http://staffwww.dcs.shef.ac.uk/people/J.Barker/" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Jon Barker</span></a></div><small class="avatar__subtitle" itemprop="description">Clarity Team Member</small></div></div></div></div></header><div id="__blog-post-container" class="markdown" itemprop="articleBody"><p>Welcome to the new Clarity blog. 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cardDescription_PWke" title="Figure 1 is a simplified schematic of the baseline system, where not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener; hence, there is also a system to select a random listener (white ellipse) with a particular set of characteristics (e.g., audiograms).">Figure 1 is a simplified schematic of the baseline system, where not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener; hence, there is also a system to select a random listener (white ellipse) with a particular set of characteristics (e.g., audiograms).</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cpc1/software/cpc1_software"><h2 class="text--truncate cardTitle_rnsV" title="Core Software">📄️<!-- --> <!-- -->Core Software</h2><p class="text--truncate cardDescription_PWke" title="The following software available to download shortly:">The following software available to download shortly:</p></a></article></section></article><footer class="margin-top--lg"><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/docs/cpc1/data/cpc1_data"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Data Specification</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/docs/cpc1/software/cpc1_baseline"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Baseline System</div></a></nav></footer></div></div></main></div></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/cec3/cec3_intro">CEC3 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc2/cpc2_intro">CPC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/icassp2023/icassp2023_intro">ICASSP 2023 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec2/cec2_intro">CEC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc1/cpc1_intro">CPC1 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec1/cec1_intro">CEC1 Documentation</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="http://claritychallenge.org" target="_blank" rel="noopener noreferrer" class="footer__link-item">The Clarity Project<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://groups.google.com/g/clarity-challenge" target="_blank" rel="noopener noreferrer" class="footer__link-item">Clarity Google Group<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="mailto:claritychallengecontact@gmail.com" target="_blank" rel="noopener noreferrer" class="footer__link-item">Email Us<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/blog">Challenge Updates</a></li><li class="footer__item"><a href="https://github.com/claritychallenge/clarity" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 The Clarity Team. 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Figure 1 shows a simplified schematic:">Challenge entrants are supplied with a fully functioning baseline system. Figure 1 shows a simplified schematic:</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/icassp2023/software/icassp2023_core_software"><h2 class="text--truncate cardTitle_rnsV" title="Core Software">📄️<!-- --> <!-- -->Core Software</h2><p class="text--truncate cardDescription_PWke" title="The code is provided as a GitHub repository containing individual Python tools and a complete baseline system. Tools will allow the processing of individual scenes or the bulk processing of the complete Clarity dataset.">The code is provided as a GitHub repository containing individual Python tools and a complete baseline system. 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For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms.">Figure 1 shows a simplified schematic of the baseline system. For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms.</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cec1/software/cec1_software"><h2 class="text--truncate cardTitle_rnsV" title="Core Software">📄️<!-- --> <!-- -->Core Software</h2><p class="text--truncate cardDescription_PWke" title="The following software is available to download:">The following software is available to download:</p></a></article></section></article><footer class="margin-top--lg"><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/docs/cec1/data/cec1_data"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">CEC1 Specification</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/docs/cec1/software/cec1_baseline"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Baseline System</div></a></nav></footer></div></div></main></div></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/cec3/cec3_intro">CEC3 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc2/cpc2_intro">CPC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/icassp2023/icassp2023_intro">ICASSP 2023 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec2/cec2_intro">CEC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc1/cpc1_intro">CPC1 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec1/cec1_intro">CEC1 Documentation</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="http://claritychallenge.org" target="_blank" rel="noopener noreferrer" class="footer__link-item">The Clarity Project<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://groups.google.com/g/clarity-challenge" target="_blank" rel="noopener noreferrer" class="footer__link-item">Clarity Google Group<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="mailto:claritychallengecontact@gmail.com" target="_blank" rel="noopener noreferrer" class="footer__link-item">Email Us<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/blog">Challenge Updates</a></li><li class="footer__item"><a href="https://github.com/claritychallenge/clarity" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 The Clarity Team. 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required to register using the form below. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials.">Teams are required to register using the form below. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials.</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cec2/taking_part/cec2_rules"><h2 class="text--truncate cardTitle_rnsV" title="Rules">📄️<!-- --> <!-- -->Rules</h2><p class="text--truncate cardDescription_PWke" title="Teams">Teams</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cec2/taking_part/cec2_listening_tests"><h2 class="text--truncate cardTitle_rnsV" title="Listening Tests">📄️<!-- --> <!-- -->Listening Tests</h2><p class="text--truncate cardDescription_PWke" title="Overview">Overview</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cec2/taking_part/cec2_prizes"><h2 class="text--truncate cardTitle_rnsV" title="Prizes">📄️<!-- --> <!-- -->Prizes</h2><p class="text--truncate cardDescription_PWke" title="We will be awarding prizes for the best performing teams.">We will be awarding prizes for the best performing teams.</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cec2/taking_part/cec2_find_a_team"><h2 class="text--truncate cardTitle_rnsV" title="Find A Team">📄️<!-- --> <!-- -->Find A Team</h2><p class="text--truncate cardDescription_PWke" title="If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators.">If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. 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Please register as soon as possible.">Teams are required to register using the form below. Please register as soon as possible.</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/icassp2023/taking_part/icassp2023_rules"><h2 class="text--truncate cardTitle_rnsV" title="Rules">📄️<!-- --> <!-- -->Rules</h2><p class="text--truncate cardDescription_PWke" title="Teams">Teams</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/icassp2023/taking_part/icassp2023_find_a_team"><h2 class="text--truncate cardTitle_rnsV" title="Find A Team">📄️<!-- --> <!-- -->Find A Team</h2><p class="text--truncate cardDescription_PWke" title="If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators.">If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators.</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/icassp2023/taking_part/icassp2023_submission"><h2 class="text--truncate cardTitle_rnsV" title="Submission">📄️<!-- --> <!-- -->Submission</h2><p class="text--truncate cardDescription_PWke" title="- All teams are required to register for the challenge prior to submission. Please register as early as possible.">- All teams are required to register for the challenge prior to submission. 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When the submission date approaches, you will be sent a reminder of your Team ID and instructions for submitting materials.</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cpc2/taking_part/cpc2_rules"><h2 class="text--truncate cardTitle_rnsV" title="Rules">📄️<!-- --> <!-- -->Rules</h2><p class="text--truncate cardDescription_PWke" title="What information can I use?">What information can I use?</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cpc2/taking_part/cpc2_submission"><h2 class="text--truncate cardTitle_rnsV" title="Submission">📄️<!-- --> <!-- -->Submission</h2><p class="text--truncate cardDescription_PWke" title="Registration">Registration</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cpc2/taking_part/cpc2_prizes"><h2 class="text--truncate cardTitle_rnsV" title="Prizes">📄️<!-- --> <!-- -->Prizes</h2><p class="text--truncate cardDescription_PWke" title="We will be awarding prizes for the best performing teams and the best student contributions.">We will be awarding prizes for the best performing teams and the best student contributions.</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cpc2/taking_part/cpc2_faq"><h2 class="text--truncate cardTitle_rnsV" title="FAQ">📄️<!-- --> <!-- -->FAQ</h2><p class="text--truncate cardDescription_PWke" title="This pages contains some background information on the topics of speech intelligibility, hearing loss and objective measures. 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class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">The Challenge Data</span><meta itemprop="position" content="1"></li></ul></nav><header><h1 class="title_kItE">The Challenge Data</h1></header><article class="margin-top--lg"><section class="row list_eTzJ"><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cec2/data/cec2_scenario"><h2 class="text--truncate cardTitle_rnsV" title="The Scenario">📄️<!-- --> <!-- -->The Scenario</h2><p class="text--truncate cardDescription_PWke" title="The scenario is that of a listener listening to a target speaker in a room with two or three interfering sound sources are also active. The scenes are described by a large number of randomized parameters:">The scenario is that of a listener listening to a target speaker in a room with two or three interfering sound sources are also active. The scenes are described by a large number of randomized parameters:</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cec2/data/cec2_scene_generation"><h2 class="text--truncate cardTitle_rnsV" title="Scene Generation">📄️<!-- --> <!-- -->Scene Generation</h2><p class="text--truncate cardDescription_PWke" title="Figure 1 shows the pipeline that generates the scenes.">Figure 1 shows the pipeline that generates the scenes.</p></a></article><article class="col col--6 margin-bottom--lg"><a class="card padding--lg cardContainer_fWXF" href="/docs/cec2/data/cec2_data"><h2 class="text--truncate cardTitle_rnsV" title="Data Specification">📄️<!-- --> <!-- -->Data Specification</h2><p class="text--truncate cardDescription_PWke" title="To obtain the data and baseline code, please see the download page.">To obtain the data and baseline code, please see the download page.</p></a></article></section></article><footer class="margin-top--lg"><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/docs/cec2/cec2_download"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Download Data</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/docs/cec2/data/cec2_scenario"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">The Scenario</div></a></nav></footer></div></div></main></div></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/cec3/cec3_intro">CEC3 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc2/cpc2_intro">CPC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/icassp2023/icassp2023_intro">ICASSP 2023 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec2/cec2_intro">CEC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc1/cpc1_intro">CPC1 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec1/cec1_intro">CEC1 Documentation</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="http://claritychallenge.org" target="_blank" rel="noopener noreferrer" class="footer__link-item">The Clarity Project<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://groups.google.com/g/clarity-challenge" target="_blank" rel="noopener noreferrer" class="footer__link-item">Clarity Google Group<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="mailto:claritychallengecontact@gmail.com" target="_blank" rel="noopener noreferrer" class="footer__link-item">Email Us<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/blog">Challenge Updates</a></li><li class="footer__item"><a href="https://github.com/claritychallenge/clarity" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 The Clarity Team. 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itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">CEC1 Introduction</span><meta itemprop="position" content="1"></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>The 1st Clarity Enhancement Challenge</h1></header><div class="theme-admonition theme-admonition-warning admonition_xJq3 alert alert--warning"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>warning</div><div class="admonitionContent_BuS1"><p>The 1st Clarity Enhancement Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the <b><a href="https://claritychallenge.org/clarity2021-workshop/">Clarity-2021 Workshsop website</a></b>.</p><p>For details of information on forthcoming challenge see <b><a href="https://claritychallenge.org/timeline">here</a></b>.</p></div></div> diff --git a/docs/cec1/cec1_results.html b/docs/cec1/cec1_results.html index a797de21e..d2135decc 100644 --- a/docs/cec1/cec1_results.html +++ b/docs/cec1/cec1_results.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script 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menu__list-item"><a class="menu__link" tabindex="0" href="/docs/cec2/taking_part/cec2_faq">FAQ</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/cec2/cec2_results">Results</a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" 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11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>warning</div><div class="admonitionContent_BuS1"><p>The 2nd Clarity Enhancement Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the <b><a href="https://claritychallenge.org/clarity2022-CEC2workshop/">Clarity-CEC2-2022 Workshsop website</a></b>.</p><p>For details of information on forthcoming challenge see <b><a href="https://claritychallenge.org/timeline">here</a></b>.</p></div></div> diff --git a/docs/cec2/cec2_results.html b/docs/cec2/cec2_results.html index 9b6f313e3..107d8402e 100644 --- a/docs/cec2/cec2_results.html +++ b/docs/cec2/cec2_results.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> 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markdown"><header><h1>Results</h1></header><p>The 2nd Clarity Enhancement Challenge is now complete. Results are shown below along with links to the system description papers. 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breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">The Scenario</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Modelling the scenario</h1></header><p>The scenario is that of a listener listening to a target speaker in a room with two or three interfering sound sources are also active. 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class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" href="/docs/cec3/cec3_intro">CEC3 Announcement</a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">CEC3 Announcement</span><meta itemprop="position" content="1"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>The 3nd Clarity Enhancement Challenge</h1></header><p>This third Clarity Enhancement Challenge (CEC3) is about improving the performance of hearing aids for speech-in-noise. According to the World Health Organization, 430 million people worldwide require rehabilitation to address hearing loss. By 2050, this will increase to one in ten people having disabling hearing loss. Yet even in developed countries, only 40% of people who could benefit from hearing aids have them. A major reason for low uptake and use is the perception that hearing aids perform poorly.</p> @@ -33,7 +33,7 @@ <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="overview-of-challenge"> <p>The challenge provides participants with hearing aid input signals representing scenes containing a target speaker. Participants are asked to process the signals to provide hearing aid output signals that will be intelligible to hearing-impaired listeners. The challenge is evaluated using standard objective speech intelligibility metrics but also with listening tests with hearing-impaired listeners.</p> <p>The challenge will be organised into two Tracks which extend the previous <a href="/docs/cec2/cec2_intro">2nd Clarity Enhancement Challenge</a> in complementary directions. Further details of the tracks are presented below.</p> <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="track-1-real-hearing-aid-signals">Track 1: Real hearing aid signals<a href="#track-1-real-hearing-aid-signals" class="hash-link" aria-label="Direct link to Track 1: Real hearing aid signals" title="Direct link to Track 1: Real hearing aid signals">​</a></h3> -<p>In the previous CEC2 challenge, hearing aid input signals were simulated using pre-recorded audio sources mixed with simulated room impulse responses and hearing aid head-related transfer functions. In this track, we provide participants with scenes that use the same domestic living room scenario, but which are closer to real hearing aid signals. There will be two types of data:</p> +<p>In the previous CEC1 and CEC2 challenges, hearing aid input signals were simulated using pre-recorded audio sources mixed with simulated room impulse responses and hearing aid head-related transfer functions. In this track, we provide participants with scenes that use the same domestic living room scenario, but which are closer to real hearing aid signals. There will be two types of data:</p> <ul> <li>First, the same as CEC2 but now using measured impulse responses from a real room.</li> <li>Second, using acoustic scenes that have been recorded over real hearing-aid shells worn by a listener who is actively engaged in the scene.</li> @@ -53,10 +53,10 @@ <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="important-dates">Import <p><strong>25th July 2024</strong>: Evaluation data released</p> </li> <li> -<p><strong>1st Sept 2024</strong>: 1st round submission deadline for evaluation by objective measure</p> +<p><strong>2nd Sept 2024</strong>: First round submission deadline for evaluation by objective measure</p> </li> <li> -<p><strong>15th Sept 2024</strong>: 2nd round submission deadline for listening tests</p> +<p><strong>16th Sept 2024</strong>: Second round submission deadline for listening tests</p> </li> <li> <p><strong>Sept-Nov 2024</strong>: Listening test evaluation period.</p> diff --git a/docs/contact.html 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Introduction</span><meta itemprop="position" content="1"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>The 1st Clarity Prediction Challenge</h1></header><div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>The 1st Clarity Prediction Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the <b><a href="https://claritychallenge.org/clarity2022-workshop/">Clarity-2022 Workshsop website</a></b>.</p><p>For details of information on forthcoming challenge see <b><a href="https://claritychallenge.org/timeline">here</a></b>.</p></div></div> diff --git a/docs/cpc1/cpc1_results.html b/docs/cpc1/cpc1_results.html index 3c95ca925..445497716 100644 --- a/docs/cpc1/cpc1_results.html +++ b/docs/cpc1/cpc1_results.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script 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searchbar" role="button" class="search-icon" tabindex="0"></span><input id="search_input_react" type="search" placeholder="Search" aria-label="Search" class="navbar__search-input search-bar"></div></div></div></div><div role="presentation" class="navbar-sidebar__backdrop"></div></nav><div id="__docusaurus_skipToContent_fallback" class="main-wrapper mainWrapper_z2l0"><div class="docsWrapper_hBAB"><button aria-label="Scroll back to top" class="clean-btn theme-back-to-top-button backToTopButton_sjWU" type="button"></button><div class="docRoot_UBD9"><aside class="theme-doc-sidebar-container docSidebarContainer_YfHR"><div class="sidebarViewport_aRkj"><div class="sidebar_njMd sidebarWithHideableNavbar_wUlq"><a tabindex="-1" class="sidebarLogo_isFc" href="/"><img src="/img/logo.png" alt="Clarity Logo" class="themedComponent_mlkZ themedComponent--light_NVdE"><img src="/img/logo.png" alt="Clarity Logo" class="themedComponent_mlkZ themedComponent--dark_xIcU"><b>Clarity</b></a><nav aria-label="Docs sidebar" class="menu thin-scrollbar menu_SIkG"><ul class="theme-doc-sidebar-menu menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/cpc2/cpc2_intro">CPC2 Introduction</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/cpc2/cpc2_dates">Important Dates</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/cpc2/cpc2_download">Download Data</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/cpc2/cpc2_data">Data Specification</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" href="/docs/cpc2/cpc2_baseline">Baseline system</a></li><li 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class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Baseline system</span><meta itemprop="position" content="1"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Baseline system</h1></header><div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>The baseline CPC2 code will be available in the <a href="https://github.com/claritychallenge/clarity" target="_blank" rel="noopener noreferrer">Github Clarity repository</a> from March 6th 2022.</p></div></div> diff --git a/docs/cpc2/cpc2_data.html b/docs/cpc2/cpc2_data.html index fc309c8db..04b1cb409 100644 --- a/docs/cpc2/cpc2_data.html +++ b/docs/cpc2/cpc2_data.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script 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page</button></div><div class="theme-doc-markdown markdown"><header><h1>The 2nd Clarity Prediction Challenge</h1></header><div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>The 2nd Clarity Prediction Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the <b><a href="https://claritychallenge.org/clarity2023-workshop/">Clarity-2023 Workshsop website</a></b>.</p><p>For details of information on forthcoming challenge see <b><a href="https://claritychallenge.org/timeline">here</a></b>.</p></div></div> diff --git a/docs/cpc2/cpc2_results.html b/docs/cpc2/cpc2_results.html index 2325f99a9..478e17987 100644 --- a/docs/cpc2/cpc2_results.html +++ b/docs/cpc2/cpc2_results.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script 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class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item"><a class="breadcrumbs__link" itemprop="item" href="/docs/category/taking-part-4"><span itemprop="name">Taking Part</span></a><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">FAQ</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>FAQ for CPC2</h1></header><div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>About this FAQ</div><div class="admonitionContent_BuS1"><p>This pages contains some background information on the topics of <strong>speech intelligibility</strong>, <strong>hearing loss</strong> and <strong>objective measures</strong>. We will also be updating it with answers to any <strong>challenge specific questions</strong> that we receive.</p></div></div> diff --git a/docs/cpc2/taking_part/cpc2_prizes.html b/docs/cpc2/taking_part/cpc2_prizes.html index bbccdc92d..c65ffdfd2 100644 --- a/docs/cpc2/taking_part/cpc2_prizes.html +++ b/docs/cpc2/taking_part/cpc2_prizes.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" 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'Software'" type="button" class="clean-btn menu__caret"></button></div><ul style="display:block;overflow:visible;height:auto" class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docs/icassp2023/software/icassp2023_baseline">Baseline System</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docs/icassp2023/software/icassp2023_core_software">Core Software</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docs/icassp2023/software/icassp2023_additional_tools">Additional Tools</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item red"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist" aria-expanded="true" href="/docs/category/taking-part-3">Taking Part</a><button aria-label="Collapse sidebar category 'Taking Part'" type="button" class="clean-btn menu__caret"></button></div><ul style="display:block;overflow:visible;height:auto" class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docs/icassp2023/taking_part/icassp2023_registration">Registration</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docs/icassp2023/taking_part/icassp2023_rules">Rules</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docs/icassp2023/taking_part/icassp2023_find_a_team">Find A Team</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docs/icassp2023/taking_part/icassp2023_submission">Submission</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docs/icassp2023/taking_part/icassp2023_faq">FAQ</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/icassp2023/icassp2023_results">Results</a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Important Dates</span><meta itemprop="position" content="1"></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>ICASSP 2023 Clarity Challenge Schedule</h1></header><p>Key dates are as follows</p> diff --git a/docs/icassp2023/icassp2023_download.html b/docs/icassp2023/icassp2023_download.html index 39fe016a2..c40efe204 100644 --- a/docs/icassp2023/icassp2023_download.html +++ b/docs/icassp2023/icassp2023_download.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script 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type="button"></button><div class="docRoot_UBD9"><aside class="theme-doc-sidebar-container docSidebarContainer_YfHR"><div class="sidebarViewport_aRkj"><div class="sidebar_njMd sidebarWithHideableNavbar_wUlq"><a tabindex="-1" class="sidebarLogo_isFc" href="/"><img src="/img/logo.png" alt="Clarity Logo" class="themedComponent_mlkZ themedComponent--light_NVdE"><img src="/img/logo.png" alt="Clarity Logo" class="themedComponent_mlkZ themedComponent--dark_xIcU"><b>Clarity</b></a><nav aria-label="Docs sidebar" class="menu thin-scrollbar menu_SIkG"><ul class="theme-doc-sidebar-menu menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/icassp2023/icassp2023_intro">ICASSP 2023 Introduction</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/icassp2023/icassp2023_dates">Important Dates</a></li><li class="theme-doc-sidebar-item-link 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tabindex="0" href="/docs/icassp2023/taking_part/icassp2023_faq">FAQ</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/icassp2023/icassp2023_results">Results</a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" 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tabindex="0" href="/docs/icassp2023/taking_part/icassp2023_faq">FAQ</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/docs/icassp2023/icassp2023_results">Results</a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">ICASSP 2023 Introduction</span><meta itemprop="position" content="1"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>The ICASSP 2023 Clarity Challenge</h1></header><div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>The Clarity ICASSP 2023 Challenge is now closed. Outcomes will be presented at ICASSP in June.</p><p>For details of information on forthcoming challenge see <b><a href="https://claritychallenge.org/timeline">here</a></b>.</p></div></div> diff --git a/docs/icassp2023/icassp2023_results.html b/docs/icassp2023/icassp2023_results.html index e7244c5c1..e1de80748 100644 --- a/docs/icassp2023/icassp2023_results.html +++ b/docs/icassp2023/icassp2023_results.html @@ -23,9 +23,9 @@ <link rel="stylesheet" href="/react-bootstrap-table2.min.css"> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script> <script src="/bootstrap/bootstrap.bundle.min.js"></script> -<script src="https://cdn.jsdelivr.net/gh/pcooksey/bibtex-js@1.0.0/src/bibtex_js.min.js"></script><link rel="stylesheet" href="/assets/css/styles.0bacb9a0.css"> -<script src="/assets/js/runtime~main.5cdfc2f6.js" defer="defer"></script> -<script src="/assets/js/main.d4faab3a.js" defer="defer"></script> +<script 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For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms.</p></article></section></main></div></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/cec3/cec3_intro">CEC3 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc2/cpc2_intro">CPC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/icassp2023/icassp2023_intro">ICASSP 2023 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec2/cec2_intro">CEC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc1/cpc1_intro">CPC1 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec1/cec1_intro">CEC1 Documentation</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="http://claritychallenge.org" target="_blank" rel="noopener noreferrer" class="footer__link-item">The Clarity Project<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://groups.google.com/g/clarity-challenge" target="_blank" rel="noopener noreferrer" class="footer__link-item">Clarity Google Group<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="mailto:claritychallengecontact@gmail.com" target="_blank" rel="noopener noreferrer" class="footer__link-item">Email Us<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/blog">Challenge Updates</a></li><li class="footer__item"><a href="https://github.com/claritychallenge/clarity" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 The Clarity Team. 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mainWrapper_z2l0"><div class="container margin-vert--lg"><div class="row"><main class="col col--8 col--offset-2"><header class="margin-bottom--xl"><h1>One doc tagged with "cec1"</h1><a href="/docs/tags">View All Tags</a></header><section class="margin-vert--lg"><article class="margin-vert--lg"><a href="/docs/cec1/software/cec1_baseline"><h2>Baseline System</h2></a><p>Figure 1 shows a simplified schematic of the baseline system. For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms.</p></article></section></main></div></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/cec3/cec3_intro">CEC3 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc2/cpc2_intro">CPC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/icassp2023/icassp2023_intro">ICASSP 2023 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec2/cec2_intro">CEC2 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cpc1/cpc1_intro">CPC1 Documentation</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/cec1/cec1_intro">CEC1 Documentation</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="http://claritychallenge.org" target="_blank" rel="noopener noreferrer" class="footer__link-item">The Clarity Project<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://groups.google.com/g/clarity-challenge" target="_blank" rel="noopener noreferrer" class="footer__link-item">Clarity Google Group<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="mailto:claritychallengecontact@gmail.com" target="_blank" rel="noopener noreferrer" class="footer__link-item">Email Us<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/blog">Challenge Updates</a></li><li class="footer__item"><a href="https://github.com/claritychallenge/clarity" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 The Clarity Team. 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2.836.315 3.397l44.768 26.455c.95.56 2.353-.05 3.128-1.362s.634-2.836-.316-3.397z" fill="#960550"></path><path d="m440.613 321.5-1.04 6.44-10.96 67.56-6.88 21.97-2.42 7.73-2.03 6.5-24.67 78.8-6.769 15.903a18.995 18.995 0 1 0 22.214 7.013l48.285-112.326 1.79-3.84 5.48-11.75 10.35-78.09.65-4.91z" fill="#ffb8b8"></path><path d="M480.613 329.5c-15.716-5.647-30.792-6.248-45 0l4.637-40.195a19.17 19.17 0 0 1 18.153-19.794 19.17 19.17 0 0 1 20.152 18.137l.003.066z" fill="#960550"></path></svg></a> </div> <div class="text--center padding-horiz--md"><h3> <!-- -->Take Part<!-- --> </h3> <p> <!-- -->This site provides<!-- --> <a href="docs/icassp2023/icassp2023_intro"> full documentation </a> for all our challenges.<!-- --> <!-- --> </p> </div> </div><div class="col col--4"><div class="text--center"><a href="https://github.com/claritychallenge/clarity/"><svg height="587.025" viewBox="0 0 973.461 587.025" width="973.461" xmlns="http://www.w3.org/2000/svg" class="featureSvg__8YW" alt="Code on 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8.758c12.148-1.058 30.166-3.382 41.682-5.511l-1.12-6.719 6.7 5.583c3.528-.812 5.623-1.549 5.45-2.112 8.565 13.808 19.047 22.627 27.611 36.435 3.253-19.47 6.997-35.659-3.938-53.426z" fill="#2f2e41"></path><ellipse cx="192.856" cy="464.787" fill="#2f2e41" rx="133.56" ry="37.359"></ellipse><path d="M287.54 296.101c-1.784-10.731-3.624-21.668-8.612-31.335-3.277-6.332-8.48-12.366-15.495-13.618a14.99 14.99 0 0 1-4.034-.934c-2.056-.99-29.674-16.756-34.063-19.502-3.77-2.357-9.72-6.722-12.72-6.722-3.017-.067-14.59 2.627-59.76-.904a163.141 163.141 0 0 0-22.01 10.822c-.145-.096-46.882 25.001-48.637 24.935-3.326-.14-6.416 1.989-8.323 4.67-1.905 2.681-2.8 6-3.735 9.21 10.208 22.732 19.547 45.494 29.756 68.227a5.821 5.821 0 0 1 .739 2.8 6.834 6.834 0 0 1-1.27 2.8c-5.007 8.042-4.848 18.157-4.3 27.61.547 9.451 1.223 19.435-3 27.907-1.15 2.326-2.644 4.455-3.736 6.781-2.56 5.268-3.484 22.117-1.99 27.777l187.267 5.365C269.59 430.922 287.539 296.1 287.539 296.1z" fill="#960550"></path><path d="M53.963 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0-2.073-3.316c-1.482-1.504-3.854-1.924-5.642-3.066z" fill="#960550"></path><path d="m299.243 523.378-2.73 20.543-80.538-.755 4.03-30.32z" fill="#ffb6b6"></path><path d="m319.853 520.785-8.804 66.24-.838-.111a26.01 26.01 0 0 1-22.356-29.209v-.001l5.377-40.457zM109.77 439.487c0 .934-1.467 0-1.6-1-1.028-7.556-7.025-13.786-14.01-16.812s-14.945-3.185-22.51-2.466c-11.44 1.083-24.284 5.464-28.468 16.158-.99 2.5-10.264 24.76-9.359 29.766 2.438 13.356 11.572 24.779 22.64 32.69s24 12.637 36.9 16.9a639.95 639.95 0 0 0 104.607 24.984c5.753.869 11.563 1.672 17.073 3.521 4.931 1.653 9.545 4.128 14.365 6.071 11.208 4.5 23.266 6.108 35.211 7.687 2.036.262 4.371.448 5.875-.934 1.943-1.8 1.3-4.941.747-7.528a40.488 40.488 0 0 1 4.773-28.729c2-3.362 4.6-6.809 4.222-10.7-.448-4.539-4.969-7.752-9.47-8.481s-9.079.346-13.6.934a7.285 7.285 0 0 1-4.624-.458 9.235 9.235 0 0 1-1.812-1.606 20.482 20.482 0 0 0-23.854-3.334c-1.672.934-4.2-1.149-5.94-1.933l-19.642-8.892c-22.565-10.208-45.242-20.464-69.115-26.927a14.514 14.514 0 0 1-5.324-2.214c-1.186-.934-2.036-2.2-3.129-3.241-2.382-2.251-5.7-3.148-8.555-4.745s-6.056-5.508-5.402-8.711z" fill="#2f2e41"></path><circle cx="160.617" cy="411.99" fill="#fbbebe" r="14"></circle><circle cx="191.617" cy="411.99" fill="#fbbebe" r="14"></circle><path d="M278.035 443.537H85.697a8.48 8.48 0 0 1-8.47-8.47V318.381a8.48 8.48 0 0 1 8.47-8.47h192.338a8.48 8.48 0 0 1 8.47 8.47v116.686a8.48 8.48 0 0 1-8.47 8.47z" fill="#3f3d56"></path><circle cx="181.399" cy="376.724" fill="#fff" r="5.604"></circle><path d="M868.03 210.452H618.136a5.006 5.006 0 0 1-5-5v-47.1h2v47.1a3.003 3.003 0 0 0 3 3h249.892a3.003 3.003 0 0 0 3-3v-47.429h2v47.43a5.006 5.006 0 0 1-5 5z" fill="#3f3d56"></path><path d="M371.397 157.352h587.22v2h-587.22z" fill="#3f3d56"></path><circle cx="371.439" cy="158.196" fill="#960550" r="17.202"></circle><circle cx="546.244" cy="158.196" fill="#960550" r="17.202"></circle><circle cx="664.876" cy="208.757" fill="#3f3d56" r="17.202"></circle><circle cx="755.063" cy="208.757" fill="#ccc" r="17.202"></circle><circle cx="711.36" cy="158.196" fill="#960550" r="17.202"></circle><circle cx="956.259" cy="158.196" fill="#960550" r="17.202"></circle><circle cx="872.029" cy="158.196" fill="#960550" r="17.202"></circle><path d="M648.54 0h31.906v21.99h-31.907z" fill="#3f3d56"></path><path d="M355.612 0h31.907v21.99h-31.907z" fill="#960550"></path><path d="M463.685 0h31.906v21.99h-31.906z" fill="#ccc"></path><path d="M424.782 159.352a1 1 0 0 1-1-1V108.99a5.006 5.006 0 0 1 5-5h48.675a1 1 0 0 1 0 2h-48.675a3.003 3.003 0 0 0-3 3v49.362a1 1 0 0 1-1 1z" fill="#3f3d56"></path><circle cx="479.744" cy="104.616" fill="#e6e6e6" r="17.202"></circle><path d="M809.782 158.352h-2V108.99a5.006 5.006 0 0 1 5-5h48.675v2h-48.675a3.003 3.003 0 0 0-3 3z" fill="#3f3d56"></path><circle cx="863.744" cy="104.616" fill="#e6e6e6" r="17.202"></circle></svg></a> </div> <div class="text--center padding-horiz--md"><h3> <!-- -->Code on Github<!-- --> </h3> <p> <!-- -->All the code for the Clarity Challenge is open source and<!-- --> <a href="https://github.com/claritychallenge/clarity/">available on Github<!-- --> </a>.<!-- --> <!-- --> </p> </div> </div><div class="col col--4"><div class="text--center"><a href="tutorials"><svg height="455.488" viewBox="0 0 580.101 455.488" width="580.101" xmlns="http://www.w3.org/2000/svg" class="featureSvg__8YW" alt="Tutorials"><circle cx="452.82" cy="117.456" fill="#960550" r="53.519"></circle><path d="M456.752 448.302V325.287a6.508 6.508 0 0 1 6.5-6.5h14.76a6.508 6.508 0 0 1 6.5 6.5v123.015a6.508 6.508 0 0 1-6.5 6.5h-14.76a6.508 6.508 0 0 1-6.5-6.5zM425.56 448.302V325.287a6.508 6.508 0 0 1 6.5-6.5h14.76a6.508 6.508 0 0 1 6.5 6.5v123.015a6.508 6.508 0 0 1-6.5 6.5h-14.76a6.508 6.508 0 0 1-6.5-6.5z" fill="#2f2e41"></path><path d="M413.397 332.75V223.804a40.031 40.031 0 0 1 40.03-40.031 40.031 40.031 0 0 1 40.032 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Built with Docusaurus.</div></div></div></footer></div> diff --git a/search-doc-1706475694238.json b/search-doc-1706475694238.json deleted file mode 100644 index 9772f000a..000000000 --- a/search-doc-1706475694238.json +++ /dev/null @@ -1 +0,0 @@ -[{"title":"CEC1 eval data released","type":0,"sectionRef":"#","url":"blog/CEC1 eval data released","content":"The evaluation dataset is now available to download from the myairbridge download site. The evaluation data filename is clarity_CEC1_data.scenes_eval.v1_1.tgz. Full details of how to prepare your submission are now available on this site. Please read them carefully. Registration: Teams must register via the Google form on the How To Submit page of this site. (Please complete this even if you have already completed a pre-registration form). Only one person from each team should register. Only those who have registered will be eligible to proceed to the evaluation. Once you have registered you will receive a confirmation email, a team ID and a link to a Google Drive to which you can upload your signals. Submission deadline: The deadline for submission is the 15th June. The submission consists of two components: i) a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used. This should be prepared as a Clarity-2021 workshop abstract and submitted to the workshop. ii) the set of processed signals that we will evaluate using the MBSTOI metric. Details of how to name and package your signals for upload can be found on the How To Submit page. Listening Tests: Teams that do well in the MBSTOI evaluation will be notified on 22nd June and invited to submit further signals for the second stage Listening Test evaluation. For any questions please contact us at claritychallengecontact@gmail.com or by posting to the Clarity challenge google group.","keywords":""},{"title":"CEC1 submissions received","type":0,"sectionRef":"#","url":"blog/CEC1 submissions received","content":"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals. Please remember to submit your finalised system descriptions by June 22nd to the Clarity workshop following the instructions provided on the workshop website. We are currently busy evaluating the submissions using the MBSTOI metric. We will be contacting teams on the 22nd with details of how to prepare signals for the listening panel evaluation. If you have been working on the challenge but missed the submission deadline then please do get in contact. We will still be happy to receive your signals and system descriptions. Although late entries will not be eligible for the official challenge ranking, we will be happy to compute the eval set MBSTOI score for you and may even be able to arrange listening test evaluation through our panel. For any questions please contact us at claritychallengecontact@gmail.com or by posting to the Clarity challenge google group.","keywords":""},{"title":"CEC2 registration open","type":0,"sectionRef":"#","url":"blog/CEC2 registration open","content":"We are pleased to announce that registration for the 2nd Clarity Enhancement Challenge (CEC2) is now open. To register please complete the simple Google form found on the registration page. The remaining important dates for the challenge are as follows: 25th July 2022: Evaluation data released1st Sept 2022: 1st round submission deadline for evaluation by objective measure15th Sept 2022: 2nd round submission deadline for listening testsSept-Nov 2022: Listening test evaluation period.2nd Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. The challenge training, dev data and initial tools are now fully from the Github repository. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"Announcement of ICASSP 2023 Grand Challenge","type":0,"sectionRef":"#","url":"blog/Announcement of ICASSP 2023 Grand Challenge","content":"We are pleased to announce that registration for the ICASSP 2023 Clarity Grand Challenge is now open. To register please complete the simple Google form found on the registration page. The remaining important dates for the challenge are as follows: 28th Nov 2022: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session The challenge training, dev data and initial tools are now fully from the Github repository. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"CPC1 results and prizes","type":0,"sectionRef":"#","url":"blog/CPC1 results and prizes","content":"The 1st Clarity Prediction Challenge is now complete. Thank you to all who took part! The full results can be found on the Clarity-2022 workshop website where you will also find links to system papers and the overview presentation. Many of the systems have led to successful Interspeech 2022 papers and will be contributing to the Interspeech 2022 special session on Speech Intelligibility Prediction for Hearing-Impaired Listeners. We hope to see many of you in Korea! In the meantime, please be sure to check out the onging 2nd Clarity Enhancement Challenge. The deadline for submitting enhanced signals is 1st September 2022, so there is still time to participate. To register a team please use the form here.","keywords":""},{"title":"CPC2 eval data released","type":0,"sectionRef":"#","url":"blog/CPC2 eval data released","content":"The CPC2 evaluation data has now been released. The data is available for download as a single 478 MB file, clarity_CPC2_data.test.v1_0.tgz. The evaluation data should be untarred into the same root as the training data. Further details can be found on the challenge website. The data consists of the hearing aid algorithm output signals, clean reference signals, listener audiograms, and head rotation information. Listener responses are not provided for the evaluation data but will be made available after the submission window has closed. For details on how to prepare your submission please see the instructions on the website. If you have any questions please feel free to post them on this forum. The submission window will close on the 31st of July. Good luck!","keywords":""},{"title":"Clarity Challenge pre-announcement","type":0,"sectionRef":"#","url":"blog/Clarity Challenge pre-announcement","content":"","keywords":""},{"title":"The Task​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#the-task","content":" You will be provided with simulated scenes, each including a target speaker and interfering noise. For each scene, there will be signals that simulate those captured by a behind-the-ear hearing aid with three channels at each ear and those captured at the eardrum without a hearing aid present. The target speech will be a short sentence and the interfering noise will be either speech or domestic appliance noise. The task will be to deliver a hearing aid signal processing algorithm that can improve the intelligibility of the target speaker for a specified hearing-impaired listener. Initially, entries will be evaluated using an objective speech intelligibility measure we will provide. Subsequently, up to twenty of the most promising systems will be evaluated by a panel of listeners. We will provide a baseline system so that teams can choose to focus on individual components or to develop their own complete pipelines. "},{"title":"What will be provided​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#what-will-be-provided","content":" Evaluation of the best entries by a panel of hearing-impaired listeners.Speech + interferer scenes for training and evaluation.An entirely new database of 10,000 spoken sentencesListener characterisations including audiograms and speech-in-noise testing.Software including tools for generating training data, a baseline hearing aid algorithm, a baseline model of hearing impairment, and a binaural objective intelligibility measure. "},{"title":"Important Dates​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#important-dates","content":" January 2021 – Challenge launch and release of software and dataApril 2021 – Evaluation data releasedMay 2021 – Submission deadlineJune-August 2021 – Listening test evaluation periodSeptember 2021 – Results announced at a Clarity Challenge Workshop in conjunction with Interspeech 2021 Challenge and workshop participants will be invited to contribute to a journal Special Issue on the topic of Machine Learning for Hearing Aid Processing that will be announced next year. "},{"title":"Further information​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#further-information","content":" If you are interested in participating and wish to receive further information, please sign up. If you have questions, contact us directly at contact@claritychallenge.org "},{"title":"Organisers​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#organisers","content":" Prof. Jon P. Barker, Department of Computer Science, University of SheffieldProf. Michael A. Akeroyd, Hearing Sciences, School of Medicine, University of NottinghamProf. Trevor J. Cox, Acoustics Research Centre, University of SalfordProf. John F. Culling, School of Psychology, Cardiff UniversityProf. Graham Naylor, Hearing Sciences, School of Medicine, University of NottinghamDr Simone Graetzer, Acoustics Research Centre, University of SalfordDr Rhoddy Viveros Muñoz, School of Psychology, Cardiff UniversityEszter Porter, Hearing Sciences, School of Medicine, University of Nottingham Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK. Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research, Honda Research Institute Europe. "},{"title":"Acknowledgement​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#acknowledgement","content":" The image copyright is owned by the University of Nottingham. "},{"title":"Live events in January","type":0,"sectionRef":"#","url":"blog/Jan-2-live-events","content":"","keywords":""},{"title":"Webinar - Challenge Overview​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#webinar---challenge-overview","content":" "},{"title":"Friday 14th January​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#friday-14th-january","content":" 9:00 GMT | 17:00 CST (GMT+8) "},{"title":"Click here to join the webinar​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#click-here-to-join-the-webinar","content":" An introduction to the aims of the challenge and some background to the problem of speech intelligibility prediction for hearing aids: Welcome, introduction to Clarity.Speech intelligibility models: Overview and why are they needed.Hearing impairment speech intelligibility prediction.The prediction challenge - details and how you can sign up to participate.Audience questions / discussion. The presentations will be recorded and made available online shortly after the event. The Q&A discussion will not be recorded. You are welcome to join slightly later if you are only interested in joining for the Q&A section (presentations should finish around 9:40 GMT). "},{"title":"Live Q&A session​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#live-qa-session","content":" "},{"title":"Monday 17th January​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#monday-17th-january","content":" 17:00 GMT | 12:00 EST (GMT-5) | 9:00 PST (GMT-8) "},{"title":"Click here to join the Q&A​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#click-here-to-join-the-qa","content":" A chance to ask the team questions about the Clarity Prediction Challenge - for anyone that could not attend the webinar on Friday 14th due to time zone differences. Please note there will be no presentations in this session. The talks from Friday’s webinar will be uploaded to the Clarity project YouTube channel later in the day so you are invited to watch those before joining this live Q&A. "},{"title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","type":0,"sectionRef":"#","url":"blog/Announcing CPC2","content":"","keywords":""},{"title":"Register now to take part​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#register-now-to-take-part","content":" If you are interested in participating please register now via the online registration form. "},{"title":"Important Dates​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#important-dates","content":" March - Launch of challenge, release of training data + baseline system.1st July - Release of evaluation data and opening of submission window.31st July - Submission deadline.19th August - ISCA Clarity 2023 workshop @ Interspeech19th September - Deadline for submission of finalised Workshop papers "},{"title":"What will be provided​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#what-will-be-provided","content":" Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The corresponding clean reference signals (the original speech);Characteristics of the listeners (pure tone audiograms, etc);The measured speech intelligibility scores from listening tests, where hearing-impaired listeners were asked to say what they heard after listening to the hearing aid processed signals.Software tools including a baseline system based on HASPI scores. "},{"title":"For further information​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#for-further-information","content":" To be kept up to date please join our Clarity Challenge Google group. If you have questions, please contact us directly using the contact details found here. "},{"title":"Latency, computation time and real-time operation","type":0,"sectionRef":"#","url":"blog/Latency, computation time and real-time operation","content":"","keywords":""},{"title":"The 1st Clarity Enhancement Challenge​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#the-1st-clarity-enhancement-challenge","content":" For a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. Such processing is useless for hearing aids and therefore our rules include a restriction on the use of future samples. The rules state the following: Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5ms).There is no limit on computational cost. Mathematically this is: yn=f(xm , xm+1 ... xn+N-1 , xn+N , L ) where yn is the output from your hearing aid for sample nnn.xxx is the audio input signal from a hearing aid microphone.N=0.005fsN = 0.005 fsN=0.005fs where fsfsfs is the sampling frequency.mmm is a sample number where m≤nm \\le nm≤n.LLL is the listener characteristics.f()f()f() is the hearing aid function. There is no limitation on how long this takes to compute.You can use multiple microphones; only a single input signal xxx is shown here just for simplicity. Here it is illustrated as a diagram. Figure. Example of how the limit of 5 ms is applied to a hearing aid input and output signal. We have a chosen a limit of 5 ms because in a real hearing aid there will be other sources of delay (e.g., analogue-to-digital, digital-to-analogue conversion). "},{"title":"Why is there no limitation of how long f() takes to compute?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#why-is-there-no-limitation-of-how-long-f-takes-to-compute","content":" We’re trying to foster new approaches to hearing aid processing and decided that at this stage we will drive more innovation if we don’t restrict computation time for round one. Such restrictions will be considered in future rounds. "},{"title":"Why haven’t you talked about latency?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#why-havent-you-talked-about-latency","content":" In discussions, it is apparent that this term is used in different ways by different people, so to avoid confusion we’re not using it! "},{"title":"Do algorithms have to be real-time?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#do-algorithms-have-to-be-real-time","content":" The above limitations mean that the algorithms could in theory be made real-time if a powerful enough computer was available, but your entry can take as long as it needs to process the signals. "},{"title":"ICASSP 2023 evaluation data released","type":0,"sectionRef":"#","url":"blog/ICASSP 2023 evaluation data released","content":"We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download. https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO For instructions on preparing your submission please visit: https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_submission If you have not yet registered it is not too late to do so. Please use the form at the link below and we will then send you a Team ID and a personalised upload link for your submission. https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_registration Note, we have extended the deadline for submission until Friday 10th February so that teams have a full week to process the signals. The remaining schedule is as follows, 2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session","keywords":""},{"title":"Baseline speech intelligibility model in round one","type":0,"sectionRef":"#","url":"blog/baseline","content":"","keywords":""},{"title":"Some comments on signal alignment and level-insensitivity​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#some-comments-on-signal-alignment-and-level-insensitivity","content":" Our baseline binaural speech intelligibility measure in round one is the Modified Binaural Short-Time Objective Intelligibility measure, or MBSTOI. This short post outlines the importance of correcting for delays that your hearing aid processing algorithm introduces into the audio signals to allow MBSTOI to estimate the speech intelligibility accurately. It also discusses the importance of considering the audibility of signals before evaluation with MBSTOI. "},{"title":"Evaluation​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#evaluation","content":" In stage one, entries will be ranked according to the average MBSTOI score across all samples in the evaluation test set. In the second stage, entries will be evaluated by the listening panel. There will be prizes for both stages. See this page for more information. "},{"title":"Signal alignment in time and frequency​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#signal-alignment-in-time-and-frequency","content":" If the signal processed by the hearing aid introduces a significant delay, you should correct for this delay before submitting your entry. This is necessary because MBSTOI requires alignment of the clean speech “reference” with the processed signal in time and frequency. This needs to be done for both ear signals. MBSTOI downsamples signals to 10 kHz, uses a Discrete Fourier Transform to decompose the signal into one-third octave bands, and performs envelope extraction and short-time segmentation into 386 ms regions. Each region consists of 30 frames. These approaches are motivated by what is know about which frequencies and modulation frequencies are most important for intelligibility. For each frequency band and frame (over the region of which it is the last frame), an intermediate correlation coefficient is calculated between the clean reference and processed power envelopes for each ear. These are averaged to obtain the MBSTOI index. Thus is usually between 0 and 1, and rises monotonically with measured intelligibility scores, such that higher values indicate greater speech intelligibility. Alignment is therefore required at the level of the one-third octave bands and short-time regions. Our baseline corrects for broadband delay per ear due to the hearing loss model. (The delay is measured by running a kronnecker delta function through the model for each ear.) However, the baseline software will not correct for delays created by your hearing aid processing. Consequently, when submitting your hearing aid output signals, you are responsible for correcting for any delays introduced by your hearing aid. Note that this must be done blindly; the clean reference signals will not be supplied for the test/evaluation set. "},{"title":"Level insensitivity​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#level-insensitivity","content":" MBSTOI is level-independent, i.e., MBSTOI is broadly insensitive to the level of the processed signal because it is calculated using a cross-correlation method. This could be a problem because sounds that are below the auditory thresholds of the hearing impaired listener may appear to MBSTOI to be highly intelligible. To overcome this, the baseline experimental code mbstoi_beta, in conjunction with the baseline hearing loss model, can be used to approximate hearing-impaired auditory thresholds. Specifically, mbstoi_beta adds internal noise that can be used to approximate normal hearing auditory thresholds. This noise, in combination with the attenuation of signals by the hearing loss model to simulate raised auditory thresholds, makes MBSTOI level-sensitive. The noise is created by filtering white noise using pure tone threshold filter coefficients with one-third octave weighting, approximating the shape of a typical auditory filter (from Moore 2012, based on Patterson’s method, 1976). This noise is added to the processed signal. Note, the standard MBSTOI in the equalisation-cancellation stage adds internal noise to parameters, but this is an independent process. "},{"title":"MBSTOI​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#mbstoi","content":" The method was developed by Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen (Andersen et al., 2018). It builds on the Short-Time Objective Intelligibility (STOI) metric created by Cees H. Taal, Richard C. Hendriks, Richard Heusdens, and Jesper Jensen (Taal et al., 2011). MBSTOI includes a better ear stage and an equalisation-cancellation stage. For simplicity, the latter stage is not discussed here; see Andersen et al. (2018) for details. "},{"title":"References​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#references","content":" Andersen, A. H., de Haan, J. M., Tan, Z. H., & Jensen, J. (2018). Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, 1-13.Moore, B. C. (2012). An introduction to the psychology of hearing. Brill.Patterson, R. D. (1976). Auditory filter shapes derived with noise stimuli. The Journal of the Acoustical Society of America, 59(3), 640-654.Taal, C. H., Hendriks, R. C., Heusdens, R., & Jensen, J. (2011). An algorithm for intelligibility prediction of time–frequency weighted noisy speech. IEEE Transactions on Audio, Speech, and Language Processing, 19(7), 2125-2136. "},{"title":"Clarity-2023 Workshop @ Interspeech, Dublin","type":0,"sectionRef":"#","url":"blog/Clarity-2023 Workshop @ Interspeech, Dublin","content":"We are pleased to announce the 4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023). The event will be a one-day workshop held as an ISCA satellite event to Interspeech 2023 in Dublin, Ireland. For registration and programme details please visit the workshop website https://claritychallenge.github.io/clarity2023-workshop/ IMPORTANT DATES 2nd June 2023 - Workshop Submission Deadline (Regular Papers)31st July 2023 - Workshop Submission Deadline (Clarity Challenge Papers)5th August 2023 - Registration closes19th August - Workshop / Clarity Challenge results announced About One of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. The inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss. The Clarity workshops are designed to stimulate a two-way conversation between the speech research community and hearing aid developers. Hearing aid developers, who are not typically represented at Interspeech, will have an opportunity to present the challenges of their industry to the speech community; the speech community will be able to present and discuss potentially transformative approaches to speech in noise processing in the presence of hearing researchers and industry experts. Topics Any work related to the challenges of hearing aid signal processing will be considered relevant topics include, Binaural technology for speech enhancement and source separationMulti-microphone processing technologyReal-time approaches to speech enhancementStatistical model-driven approaches to hearing aid processingAudio quality & intelligibility assessment hearing aid and cochlear implant usersEfficient and effective integration of psychoacoustic testing in machine learningMachine learning for diverse target listenersMachine learning models of hearing impairment The 2nd Clarity Prediction Challenge The Clarity-2023 will also host the 2nd Clarity Prediction Challenge, that is addressing the problem of developing new intrusive and non-intrusive approaches to hearing-aid speech intelligibility prediction. The Challenge will be launching on 1st March, is you may be interested in participating please sign up to our Google group for further announcements. Keynote Talks Prof Fei Chen, SUSTech, China,Prof DeLiang Wang, Ohio State University, US Organisers Michael Akeroyd, University of NottinghamJon Barker, University of SheffieldTrevor Cox, University of SalfordFei Chen, Southern University of Science and Technology, ChinaJohn Culling, University of CardiffSimone Graetzer, University of SalfordAndrew Hines, University College Dublin For further information To be kept up to date please join our Clarity Challenge Google group. If you have questions, please contact us directly using the contact details found here. Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research","keywords":""},{"title":"Release of CEC2 baseline","type":0,"sectionRef":"#","url":"blog/release of CEC2 baseline","content":"We are pleased to announce the release of the 2nd Clarity Enhancement Challenge (CEC2) baseline system code. The baseline code has been released in the latest commit to the Clarity GitHub repository. The baseline system perform NAL-R amplification according to the audiogram of the target listener, followed by a simple gain control and output of the signals to 16-bit stereo wav format. The system has been kept deliberately simple with no microphone array processing or attempt at noise cancellation. HASPI scores for the dev set have been measured. The scores are as follows. System\tHASPIUnprocessed\t0.1615 NAL-R baseline\t0.2493 See here for further details. If you have any problems using the baseline code please do not hesitate to contact us at claritychallengecontact@gmail.com, or post questions on the Google group.","keywords":""},{"title":"Hearing loss simulation","type":0,"sectionRef":"#","url":"blog/Hearing loss simulation","content":"","keywords":""},{"title":"Audio examples of hearing loss​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#audio-examples-of-hearing-loss","content":" Here are two samples of speech in noise processed through the simulator. In each audio example there are three versions of the same sentence: Unimpaired hearingMild hearing impairmentModerate to severe hearing impairment 0 dB signal to noise ratio Your browser does not support the audio element. And here is an example where the noise is louder: Your browser does not support the audio element. Noisier: -10dB signal to noise ratio "},{"title":"Acknowledgements​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#acknowledgements","content":" The hearing loss model we’re using was generously supplied by Michael Stone at the University of Manchester as MATLAB code and translated by us into Python. The original code was written by members of the Auditory Perception Group at the University of Cambridge, ca. 1991-2013, including Michael Stone, Brian Moore, Brian Glasberg and Thomas Baer. Information about the model can be found primarily in Nejime and Moore (1997), but also in Nejime and Moore (1998), Baer and Moore (1993 and 1994), and Moore and Glasberg (1993). The original speech recordings come from the ARU corpus, University of Liverpool (Hopkins et al. 2019). This corpus is freely available at the link in the reference below. "},{"title":"References​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#references","content":" Baer, T., & Moore, B. C. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. The Journal of the Acoustical Society of America, 94(3), 1229-1241.Baer, T., & Moore, B. C. (1994). Effects of spectral smearing on the intelligibility of sentences in the presence of interfering speech. The Journal of the Acoustical Society of America, 95(4), 2277-2280.Hopkins, C., Graetzer, S., & Seiffert, G. (2019). ARU adult British English speaker corpus of IEEE sentences (ARU speech corpus) version 1.0 [data collection]. Acoustics Research Unit, School of Architecture, University of Liverpool, United Kingdom. DOI: 10.17638/datacat.liverpool.ac.uk/681. Retrieved from http://datacat.liverpool.ac.uk/681/.Moore, B. C., & Glasberg, B. R. (1993). Simulation of the effects of loudness recruitment and threshold elevation on the intelligibility of speech in quiet and in a background of speech. The Journal of the Acoustical Society of America, 94(4), 2050-2062.Moore, B. C., Glasberg, B. R., & Vickers, D. A. (1996). Factors influencing loudness perception in people with cochlear hearing loss. B. Kollmeier, World Scientific, Singapore, 7-18.Nejime, Y., & Moore, B. C. (1997). Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. The Journal of the Acoustical Society of America, 102(1), 603-615.Nejime, Y., & Moore, B. C. (1998). Evaluation of the effect of speech-rate slowing on speech intelligibility in noise using a simulation of cochlear hearing loss. The Journal of the Acoustical Society of America, 103(1), 572-576. "},{"title":"Launch of CEC2","type":0,"sectionRef":"#","url":"blog/launch of CEC2","content":"We are pleased to announce the launch of the 2nd Clarity Enhancement Challenge (CEC2). The website has been fully updated to provide you with all the information you will need to participate in the challenge. The schedule for the challenge is as follows: 13th April 2022: Release of training and development data; initial tools.30th April 2022: Release of full toolset and baseline system.1st May 2022: Registration for challenge entrants opens.25th July 2022: Evaluation data released1st Sept 2022: 1st round submission deadline for evaluation by objective measure15th Sept 2022: 2nd round submission deadline for listening testsSept-Nov 2022: Listening test evaluation period.2nd Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. The challenge training, dev data and initial tools will be available from 13th April. In the meantime, please visit the CEC2 Intro page to learn more about the task. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"One approach to our enhancement challenge","type":0,"sectionRef":"#","url":"blog/One approach to our enhancement challenge","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"One approach to our enhancement challenge","url":"blog/One approach to our enhancement challenge#references","content":" [1] Andersen, A.H., Haan, J.M.D., Tan, Z.H. and Jensen, J., 2015. A binaural short time objective intelligibility measure for noisy and enhanced speech. In the Sixteenth Annual Conference of the International Speech Communication Association.[2] Li, H., Fu, S.W., Tsao, Y. and Yamagishi, J., 2020. iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. arXiv preprint arXiv:2004.00932.[3] Gillhofer, M., Ramsauer, H., Brandstetter, J., Schäfl, B. and Hochreiter, S., 2019. A GAN based solver of black-box inverse problems. Proceedings of the NeurIPS 2019 Workshop.[4] Kawanaka, M., Koizumi, Y., Miyazaki, R. and Yatabe, K., 2020, May. Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7524-7528). IEEE. "},{"title":"Sounds for round one","type":0,"sectionRef":"#","url":"blog/Sounds","content":"","keywords":""},{"title":"Everyday background noises that interfere with understanding of speech​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#everyday-background-noises-that-interfere-with-understanding-of-speech","content":" A long and varied list of sounds cause problems. These lists are in no particular order. Living room or spaceClocks tickingCrisp packets rustlingTaps runningKettles boilingDishwasherMicrowaveWashing machineTV, music, radioPhone ringing (or receiving texts – unknown beeps/tones)Newspapers rustlingAir-conditioning and oven extractor fansVacuum cleanerDoorbell ringingDog barkingRain on window "},{"title":"Family and friends​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#family-and-friends","content":" Cutlery/crockery banging/clangingDoors opening/closing (to rooms and cupboards)MusicPeople walking around the roomChildren playing with toysLaughingPeople talking from another roomSpeakers from a different conversation in close proximity (i.e. beside you) when you are trying to converseTraffic outsideChewing/chompingSteam pipes/ coffee machinesChairs being moved "},{"title":"Outside​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#outside","content":" Church bellsMarket noiseFootsteps on different types of ground, i.e. heels on hard floors but also wellingtons in mudClothes rustling (such as waterproof coats or hat on hearing aid)Wind (even with HA on ‘wind setting’)Pigeons/birdsSirensTraffic noise (especially at junctions)MusicLaughterPhones ringingTillsChildren playing outside or running around (in shops, on the street and at parks)Beeping signal at crossingsGarden centres – high glass ceilings, open plan, trolleysRoad/ tyre and traffic noise when in a car or on the busAlso mentioned how people you speak to in the car may be in front or behind youTrains and the tubeAeroplanes and airports (suitcases rolling)Tannoys "},{"title":"Characteristics of processed speech to consider​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#characteristics-of-processed-speech-to-consider","content":" Clarity (clearness) or qualityRhythm of speech‘Inflection’ (intonation)Similarity to original speakerAgreed that in situations where the voice would not be processed clearly, i.e. outside with many noise sources, not sounding like the original - speaker is fine. "},{"title":"Other comments​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#other-comments","content":" Speed of speech; it was suggested that we have sentences read at different speeds as faster talkers are often harder to understand.Stated that emphasis on key words is useful for following conversation; perhaps key words in the sentence when marked should be given higher value.Lots of comments on room acoustics, i.e., ceiling heights, furnishings, floorings, windows etc., which has a big impact on how difficult it is to have a conversation with background noise.Different accents of talkers can make conversation more difficult; including speakers with different accents in the background.We’re now working out what sounds to use. But are there other sounds we should consider? "},{"title":"Credits​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#credits","content":" Thank you to the patient and public involvement representatives who participated.Clarity Organiser: Eszter Porter .Facilitators: Adele Horobin, Erin Dawe-Lane.This discussion group was supported by the National Institute for Health Research Nottingham Biomedical Research Centre. "},{"title":"The speech-in-noise problem","type":0,"sectionRef":"#","url":"blog/The speech-in-noise problem","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"The speech-in-noise problem","url":"blog/The speech-in-noise problem#references","content":" Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. International Journal of Audiology, 47(sup2), S53-S71.Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. The Journal of the Acoustical Society of America, 25(5), 975-979.Heinrich, A., Henshaw, H., and Ferguson, M. A. (2015). The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech perception tests. Frontiers in Psychology, 6, 782.Vestergaard Knudsen, L., Öberg, M., Nielsen, C., Naylor, G., and Kramer, S. E. (2010). Factors influencing help seeking, hearing aid uptake, hearing aid use and satisfaction with hearing aids: A review of the literature. Trends in Amplification, 14(3), 127-154.Kochkin, S. (2000). MarkeTrak V: “Why my hearing aids are in the drawer” The consumers’ perspective. The Hearing Journal, 53(2), 34-36. "},{"title":"Credits​","type":1,"pageTitle":"The speech-in-noise problem","url":"blog/The speech-in-noise problem#credits","content":" Photo of Cocktail party by Ross CC BY-NC-SA 2.0Ronan, N., & Barrett, G. (2014). A 68 year old woman with deteriorating hearing. BMJ, 348, g2984. https://www.bmj.com/content/348/bmj.g2984 "},{"title":"The baseline","type":0,"sectionRef":"#","url":"blog/The baseline","content":"An overview of the current state of the baseline we’re developing for the machine learning challenges We’re currently developing the baseline processing that challenge entrants will need. This takes a random listener and a random audio sample of speech in noise (SPIN) and passes that through a simulated hearing aid (the Enhancement Model). This improves the speech in noise. We then have an algorithm (the Prediction Model) to estimate the Speech Intelligibility that the listener would perceive (SI score). This score can then be used to drive machine learning to improve the hearing aid. A talk through the baseline model we’re developing. The first machine learning challenge is to improve the enhancement model, in other words, to produce a better processing algorithm for the hearing aid. The second challenge is to improve the prediction model using perceptual data we’ll provide.","keywords":""},{"title":"The speech-in-noise problem part two","type":0,"sectionRef":"#","url":"blog/The speech-in-noise problem part two","content":"","keywords":""},{"title":"Machine learning​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#machine-learning","content":" In recent years, there has been increasing interest in what machine learning methods can do for hearing aids. Machine learning is a branch of artificial intelligence where computers learn directly from example data. One machine learning method is the neural network. This is an algorithm formed from layers of simple computational units connected to each other in a way that is inspired by connections between neurons in the brain. Deep (3+ layer) neural networks are able to learn complex, non-linear mapping functions, which makes them ideal candidates for noise reduction tasks. We anticipate that machine learning can help tackle the challenge of speech in noise for hearing aids, providing a tailored solution for each individual and listening situation. For example, one thing machine learning could do is to sense the acoustic environment the listener is in, and choose the most suitable processing settings. Image via www.vpnsrus.com In recent years, a machine learning approach for noise reduction has become popular. Neural networks are used to estimate time-frequency masks (a set of gains for each time-frequency unit that, when multiplied by the signal, produce less noisy speech; see, e.g., Zhao et al., 2018). Machine learning systems for noise reduction are trained on artificially mixed speech and noise. Some operate on a single channel, i.e., using spectral cues, and some work with multiple channels using spatial cues. We expect that future hearing aids built on machine learning will perform best if they combine the left and right microphones to work binaurally. Most of these noise reduction systems have been designed and evaluated in an off-line mode where they process pre-recorded signals. This isn’t much use for hearing aids that need to work in real-time with low latency (i.e., short delays). One challenge for hearing aids is to redesign off-line approaches to work quickly enough without too much loss of performance. The potential for machine learning to produce better approaches to hearing aid processing is what motivated the Clarity Project. If you’re interested in hearing more as the challenges develop, please sign up. "},{"title":"References​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#references","content":" Brons, I., Houben, R., and Dreschler, W. A. (2014). Effects of noise reduction on speech intelligibility, perceived listening effort, and personal preference in hearing-impaired listeners. Trends in hearing, 18, 1-10.Van den Bogaert, T., Doclo, S., Wouters, J., and Moonen, M. (2009). Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing aids. The Journal of the Acoustical Society of America, 125(1), 360-371.Zhao, Y., Wang, D., Johnson, E. M., and Healy, E. W. (2018). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. The Journal of the Acoustical Society of America, 144(3), 1627-1637. "},{"title":"Credits​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#credits","content":" Photograph of hearing aid wearer, copyright University of Nottingham. Image of brain with overlaid circuity made available by www.vpnsrus.com. "},{"title":"Welcome to CPC1","type":0,"sectionRef":"#","url":"blog/welcome to CPC1","content":"Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we're still doing listening tests and preparing the data, so the download links don't work. If anything is unclear or you've got questions, please contact us through the Google group.","keywords":""},{"title":"Welcome","type":0,"sectionRef":"#","url":"blog/welcome","content":"Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems.","keywords":""},{"title":"Introduction Webinar - Recording Available","type":0,"sectionRef":"#","url":"blog/webinar-1-link","content":"The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online: The slides are available to download: 1 Welcome and Overview 2 Speech Intelligibility Models 3 Hearing Impariment and SI Prediction 4 Clarity Prediction Challenge Details Note that we did not record the Q&A session at the end, but if you have questions about taking part in the challenge you can contact us at claritychallengecontact@gmail.com","keywords":""},{"title":"Why use machine learning challenges for hearing aids?","type":0,"sectionRef":"#","url":"blog/Why use machine learning challenges for hearing aids","content":"","keywords":""},{"title":"Components of a challenge​","type":1,"pageTitle":"Why use machine learning challenges for hearing aids?","url":"blog/Why use machine learning challenges for hearing aids#components-of-a-challenge","content":" There needs to be a common task based on a target application scenario to allow communities to gain from benchmarking and collaboration. Clarity project’s first enhancement challenge will be about hearing speech from a single talker in a typical living room, where there is one source of noise and a little reverberation. We’re currently working on developing simulation tools to allow us to generate our living room data. The room acoustic will be simulated using RAVEN and the Hearing Device Head-related Transfer Functions will come from Denk’s work. We’re working on getting better, more ecologically valid speech than is often used in speech intelligibility work. Entrants are then given training data and development (dev) test data along with a baseline system that represents the current state-of-the-art. You can find a post and video on the current thinking on the baseline here. We’re still working on the rules stipulating what is and what is not allowed (for example, will entrants be allowed to use data from outside the challenge). Clarity’s first enhancement challenge is focussed on maximising the speech intelligibility (SI) score. We will evaluate this first through a prediciton model that is based on a hearing loss simulation and an objective metric for speech intellibility. Simulation has been hugely important for generating training data in the CHIME challenges and so we intend to use that approach in Clarity. But results from simulated test sets cannot be trusted and hence a second evaluation will come through perceptual tests on hearing impaired subjects. However, one of our current problems is that we can’t bring listeners into our labs because of COVID-19. We’ll actually be running two challenges in roughly parallel, because we’re also going to task the community to improve our prediction model for speech intelligibility. We’re running a series of challenges over five years. What other scenarios should we consider? What speech? What noise? What environment? Please comment below. "},{"title":"Acknowledgements​","type":1,"pageTitle":"Why use machine learning challenges for hearing aids?","url":"blog/Why use machine learning challenges for hearing aids#acknowledgements","content":" Much of this text is based on Jon Barker’s 2020 SPIN keynote "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cec1/cec1_dates","content":"Important Dates We are operating a two-stage submission process with the following key dates. 1st June 2021: Evaluation data release for MBSTOI evaluation for all entrants. 11th June 2021: Registration deadline. 15th June 2021: All entrants submit (i) audio for MBSTOI evaluation and (ii) a draft of their technical report (details below). 22nd June 2021: Deadline by which all entrants must submit two page technical reports to Clarity-2021 workshop (details below). 22nd June 2021: Entrants informed which systems are going forward to the listening test evaluation stage. Evaluation data for listening tests released to those entrants. 29th June 2021: Entrants submit audio for listening tests.","keywords":""},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cec1/taking_part/cec1_prizes#the-team-prize","content":" Team prizes have been made available by the generosity of the Hearing Industry Research ConsortiumThere will be separate MBSTOI and listening test prizes for the top systems. MBSTOI prize 1st Place $1000 2nd Place $500 3rd Place $250 Listening Test prize 1st Place $1000 2nd Place $500 3rd Place $250 "},{"title":"The Amazon Student Prize​","type":1,"pageTitle":"Prizes","url":"docs/cec1/taking_part/cec1_prizes#the-amazon-student-prize","content":" Student prizes have been made available by the generosity of Amazon TTS Research Amazon prize for top student contribution 1st Place $1000 2nd Place $500 3rd Place $250 The award will be judged by a panel formed from members of the Clarity-2021 workshop scientific committee.There will be a lightweight nomination process. Details to be announced. info Anonymous entries and those with direct links to the Clarity project team are ineligible for cash prizes, sorry. "},{"title":"The 1st Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec1/cec1_intro","content":"The 1st Clarity Enhancement Challenge warning The 1st Clarity Enhancement Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the Clarity-2021 Workshsop website. For details of information on forthcoming challenge see here. Dates - key challenge dates. Scenario - a description of the listening scenario and how it has been simulated. Baseline System - a description of the baseline hearing aid model. CEC1 Data - the data that can be used to train and evaluate your system during development. CEC1 Software - the software tools that we are providing to help you build and evaluate a challenge entry. Challenge Rules - the rules to which all challenge entries must adhere. Listening Tests - information about the listening tests which will be used to evaluate the best systems. Submission - information about how to prepare your submission. Prizes - information about our prizes. Download - where to go to download the software and challenge data.","keywords":""},{"title":"Rules","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions.The organisers may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.All teams will be referred to using anonymous codenames in rank ordering. "},{"title":"Intellectual property​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"What information can I use?​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#training-and-development","content":" There is no limit on the amount of training data that can be generated using our tools. Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferer for each hearing aid microphone), andThe listener characterisation (pure tone air-conduction audiograms). "},{"title":"Computational restrictions​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#submitting-multiple-entries","content":" If you wish to submit two entries, where one is optimised for MBSTOI and the other, for listening tests, Both systems must be submitted for MBSTOI evaluation.You must register two teams, submitting each entry as a different team.In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries. We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#evaluation-of-systems","content":" "},{"title":"Stage 1: Objective evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#stage-1-objective-evaluation","content":" Entries will be ranked according to average Modified Binaural Short-Time Objective Intelligibility (MBSTOI) score across all samples in the evaluation/test dataset (i.e., all signals submitted for the MBSTOI evaluation). "},{"title":"Stage 2: Listening test evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#stage-2-listening-test-evaluation","content":" There is a limit on how many systems can be evaluated by the listener panel.A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches.We will choose which will go to the listener panel based on The top N scored using the objective evaluation method.A sample of M others that use contrasting and promising approaches. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cec1/software/cec1_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#a-scene-generator","content":" Fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, BRIRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid processor is based on openMHA. The python code configures openMHA with a Camfit compressive fitting for a specific listener’s audiogram. This includes a python implementation of the Camfit compressive prescription and python code for driving openMHA. This configuration of openMHA includes multiband dynamic compression and non-adaptive differential processing. The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly. The main inputs and outputs for the processor are as follows: Inputs: Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in ‘scenes_listeners.json’ and an entry in the listener metadata json file ‘listeners.json’ for that IDOutputs: The stereo hearing aid output signal, <scene>_<listener>_HA-output.wav "},{"title":"C. Hearing Loss model​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#c-hearing-loss-model","content":" Open-source python implementation of the Cambridge Auditory Group Moore/Stone/Baer/Glasberg hearing loss model. Inputs: A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears).Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"D. Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#d-speech-intelligibility-model","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI). This is an experimental baseline tool that will be used in the stage 1 evaluation of entrants (see Rules). Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), (scene metadata)Outputs: predicted intelligibility score "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cec1/software/cec1_baseline","content":"Baseline System Figure 1 shows a simplified schematic of the baseline system. For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms. The speech in noise that has been improved by the hearing aid is then passed to the prediction stage (orange box). This includes: (i) a simulation of hearing loss and (ii) a binaural model of intelligibility that estimates the speech intelligibility. Figure 1 Simplified overview of the baseline. As stated in the rules of the first Enhancement Challenge, you are free to choose which parts of the baseline are useful to your approach, and reconfigure the system as you feel fit. More details of the different parts of the baseline appear on the software page, see, Scene GeneratorHearing aid modelHearing loss modelSpeech intelligibility model Download baseline software and data.","keywords":""},{"title":"Download","type":0,"sectionRef":"#","url":"docs/cec1/cec1_download","content":"Download The baseline code is available on Github. The github repository includes instructions for obtaining the data.","keywords":""},{"title":"CEC1 Data","type":0,"sectionRef":"#","url":"docs/cec1/data/cec1_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#a-training-development-evaluation-data","content":" The dataset is split into these three subsets: training (train), development (dev) and evaluation (eval). You should only train on the training set.The system submitted should be chosen on the evidence provided by the development set.The final listening and ranking will be performed with the (held-out) evaluation set.For more information on supplementing the training data, please see the rules. The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b-the-scene-dataset","content":" The complete dataset is composed of 10,000 scenes split into the following sets: Training (6000 scenes, 24 speakers);Development (2500 scenes, 10 speakers);Evaluation (1500 scenes, 6 speakers). Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training, development and evaluation sets are disjoint for target speaker. The three sets are balanced for target speaker gender. Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used. The BRIRs are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files are specification files for the geometric room acoustic model that include a complete description of the room. "},{"title":"B.1 Training data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).HRIRs including those corresponding to the target azimuth.The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate BRIR;The interferer convolved with the appropriate BRIR;The sum of the target and interferer convolved. The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files. Software for generating more training data is also available. "},{"title":"B.2 Development data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b2-development-data","content":" The same data as for the training will be made available to allow you to fully examine the performance of your system. Note, that the data available for the evaluation will be much more limited (see B.3). For each scene, during development, your hearing aid enhancement model must only use the following input signals/data: The sum of the target and interferer – mixed at the SNR specified in the scene metadata – at one or more hearing aid microphones (CH1, CH2 and/or CH3).The IDs of the listeners assigned to the scene in the metadata provided.The audiograms of these listeners. "},{"title":"B.3 Evaluation scene data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b3-evaluation-scene-data","content":" For each scene in the evaluation data only the following will be available: The sum of the target and interferer for each hearing aid microphone.The ID of the evaluation panel members/listeners who will be listening to the processed scene.The audiograms of these listeners. "},{"title":"C Listener data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c-listener-data","content":" "},{"title":"C.1 Training and development data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c1-training-and-development-data","content":" A sample of pure tone air-conduction audiograms that characterise the hearing impairment of potential listeners, split into training and development sets. "},{"title":"C.2 Evaluation data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c2-evaluation-data","content":" You will be given the left and right pure tone air-conduction audiograms for the listening panel, so the signals you generate for evaluation can be individualised to the listeners. A panel of 50 hearing-aided listeners will be recruited for the evaluation panel. We plan that they will be experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations in Filenames​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d1-abbreviations-in-filenames","content":" R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d2-general","content":" Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left and right signals of the ear or hearing aid microphones.HRIRs have a sampling rate of 48 kHz.Metadata will be stored in JSON format wherever possible.Room descriptions are stored as RAVEN project ‘rpf’ configuration files.Signals are saved within the Python code as 32-bit floating point by default. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was supposed to be spoken as presented to the readers.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d4-source-audio-files","content":" Wav files containing the original source materials.Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav <Scene ID>_interferer_<Channel ID>.wav <Scene ID>_mixed_<Channel ID>.wav <Scene ID>_target_anechoic.wav Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d6-enhanced-signals","content":" The signals that are output by the enhancement (hearing aid) model. <Scene ID>_<Listener ID>_HA-output.wav #HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel. "},{"title":"D.7 Enhanced signals processed by the hearing loss model​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d7-enhanced-signals-processed-by-the-hearing-loss-model","content":" The signals that are produced by the hearing loss (HL) model. <Scene ID>_<Listener ID>_HL-output.wav HL output signal<Scene ID>_<Listener ID>_HL-mixoutput.wav HL-processed CH0 signal, bypassing HA processing, for comparison<Scene ID>_<Listener ID>_flat0dB_HL-output HL-output for flat 0 dB audiogram processed signal for comparison<Scene ID>_<Listener ID>_HLddf-output unit impulse signal output by HL model for time-alignment of signals before processing by the baseline speech intelligibility model "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d8-scene-metadata","content":" JSON file containing a description of the scene and assigns the scene to a specific member of the listening panel. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight. scenes.json [ { "scene": "S00001", "room": { "name": "R00001", "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres }, "SNR": 3.8356, "hrirfilename": "VP_N5-ED", // HRIR filename "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "Positions": [ -0.5, 3.4, 1.2 ], "ViewVectors": [ 0.291, -0.957, 0 ], "name": "T022_HCS_00002", // target speaker code and BNCid "nsamples": 153468, // length of target speech in samples }, "listener": { "Positions": [ 0.2, 1.1, 1.2 ], "ViewVectors": [ -0.414, 0.91, 0 ] }, "interferer": { "Positions": [ 0.4, 3.2, 1.2 ], "name": "CIN_dishwasher_012", // interferer name "nsamples": 1190700, // interferer length in samples "duration": 27, // interferer duration in seconds "type": "noise", // interferer type: noise or speech "offset": 182115, // interferer segment starts at n samples from beginning of recording }, "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver "dataset": "train", // dataset: train, dev or eval/test "pre_samples": 88200, // number of samples of interferer before target onset "post_samples": 44100 // number of samples of interferer after target offset }, { // etc. } ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room.A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files.The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file.Non-speech interferers are labelled CIN_<noise type>_XXX, while speech interferers are labelled <three letter code including dialect and talker gender>_XXXXX . "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d9-listener-metadata","content":" Listener data stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ 10, 15, 25, 40, 50, 65, 65, 70 ], }, "L0002": { // ... etc }, // ... etc } "},{"title":"D.10 Scene-Listener map​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d10-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003". "L0005", "L0007"], // etc } "},{"title":"CEC2 Schedule","type":0,"sectionRef":"#","url":"docs/cec2/cec2_dates","content":"CEC2 Schedule Key dates are as follows 30th March 2022: Challenge website launch 14th April 2022: Release of training and development data, plus core software. 30th April 2022: Release of full toolset and baseline system. 1st May 2022: Registration for challenge entrants opens. 25th July 2022: Evaluation data released 1st Sept 2022: 1st round submission deadline for evaluation by objective measure 15th Sept 2022: 2nd round submission deadline for listening tests Sept-Nov 2022: Listening test evaluation period. 12th Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. Workshop likely to be a one-day virtual event","keywords":""},{"title":"Submission","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#registration","content":" Teams are required to register using the form below. Please submit one form per team, i.e., providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID and an individualised link to a Google Drive for submitting materials. Loading… info It is important that all teams who are intending to submit an entry complete the registration form no later than 11th June. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of 1500 scenes. For each scene you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON formatted metadata consisting of the audiograms of a set of listeners anda mapping of which listeners will listen to which scenes. For the MBSTOI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. For the listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the CEC1 Data page. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#what-audio-do-i-need-to-submit","content":" You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the MBSTOI evaluation (due 15th June) and the second for the listening tests (due 29th June). MBSTOI evaluation. Signals should be submitted in floating point WAV format with a 44.1 kHz sampling rate. For levels, we will follow the convention in the baseline hearing aid (at the output) and hearing loss models. That is, a +/-1 square wave has RMS = 0 dB FS and corresponds to 120 dB. Listening tests. Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate (due to hardware limitations). You should ensure that any samples that are greater than +1 or less than -1 have been hard-clipped at +/-1 before submission. Here, 0 dB FS corresponds to approximately 100 dB, given the capabilities of the reproduction equipment. These signals will be played as is to the listener panel. We also encourage you to submit your simulated hearing aid code. See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_HA-output.wav and explained on the CEC1 data page. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., E001 and then packaged using zip or tar or any standard packaging tool. The resulting file should be about 2 GB for the first round. "},{"title":"Technical report​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-2021 Workshop. Deadline 22nd June. An author kit and submission instructions are available at the workshop website. A draft of the report needs to be uploaded to the Google Drive along with your MBSTOI signals by 15th June. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules. Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Your report should cite the following document, which provides an overview of the challenge and the baseline system: S. Graetzer, J. Barker, T. J. Cox, M. Akeroyd, J. F. Culling, G. Naylor, E. Porter, and R. Viveros Muñoz, “Clarity-2021 challenges: Machine learning challenges for advancing hearing aid processing,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno, Czech Republic, 2021. The document can be accessed here. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. You will be able to use the same link to upload materials for both the 1st submission, and the 2nd submission if you are selected for the 2nd round. We also encourage you to submit your simulated hearing aid code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cec1/cec1_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cec1/cec1_results#prizes","content":" The Hearing Industry Research Consortium prizes were awarded as follows: The prizes for the MBSTOI evaluation were awarded to the Brno University of Technology team (first place), the Music Tribe team (second place) and theELO-SPHERES Consortium (third place). The University of Sheffield team was not eligible to win prizes due to connections with the organisers. The overall prizes for the listening test evaluation were awarded to the University of Oldenburg team (first place) and the ELO-SPHERES Consortium (second place). In the noise interferer category, the University of Oldenburg and Googlears teams were the best performers, while in the speech interferer category, the University of Oldenburg team and ELO-SPHERES Consortium were the best performers. For a discussion of the differences in performance for the noise and speech interferers, see the [YouTube video]. The Amazon student prizes were awarded to Katerina Zmolikova from the Brno University of Technology team (first place), Tomas Gajecki from the Medical University Hannover team (second place), and Xi Chen from Shenzhen University, who was an intern at Tencent while working on this challenge (third place). Congratulations to all our prize the winners! "},{"title":"Listening Tests","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_listening_tests","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#overview","content":" Our panel members will be provided with a tablet preloaded with our Listen@Home software and headphones to complete the listening experiment. They will listen to an entrant’s sentence, respond verbally with what they think was said by the target talker, and then move on to the next sentence. Their response will be recorded by the tablet microphone(s) and then processed using automatic speech recognition. Intelligibility will be evaluated as the number of words identified correctly in the sentence. Our plan is that each listener will evaluate 1,200 sentences, which is about 4 hours of listening, and that every listener will evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible. Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn. "},{"title":"Listen@Home hardware​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#listenhome-hardware","content":" We will be using a Lenovo 10e Chromebook running Android 81.0 and Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. Without loudness-recruitment measures for our listeners, we cannot be sure just what loudnesses every participant will hear, so we need to allow them to make the choice here. We have measurements on the output capability of a system in the laboratory: A 1 kHz pure tone set to be the most powerful it can be (i.e., an amplitude range of +/-1 = RMS amplitude of 0.707, and the volume controls at 100%) gave 99 dB(A) SPL on the PC-8 headphones.An ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3, gave 90 dB(A) at the same volume level. With this RMS, the noise had 0.1% of its samples clipped at +/- 1. It is important to note that there is a convention for the prediction model that a +/-1 square wave has RMS = 0 dB FS and corresponds to 120 dB, while for listening tests, 0 dB FS corresponds to approximately 100 dB, given the above capabilities of the reproduction equipment. For the listening tests, we will require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate (see this page). We will play the signals as is using a HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"References​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#references","content":" [1] ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"Additional Tools","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_additional_tools","content":"","keywords":""},{"title":"Hearing loss model​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#hearing-loss-model","content":" This is an open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge [1, 2]. Inputs: A stereo wav audio signal, e.g., the output of the hearing aid model and audiograms for left and right ear.Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"Differentiable source separation and hearing aid amplification modules​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#differentiable-source-separation-and-hearing-aid-amplification-modules","content":" The modules are from the Sheffield E009 system in CEC1. The source separation module is a multi-channel Conv-TasNet optimised with a SNR objective. The hearing aid amplification module is an FIR filter optimised with an objective, which is the combination of a differentiable approximation to the hearing loss model and a STOI loss. Inputs: six channels of mixed signals, i.e., mixed_CH1.wav, mixed_CH2.wav, and mixed_CH3.wavOutputs: a single channel enhanced signal, therefore two source separation and amplification modules for left and right ears need to be optimised for the enhanced binaural signal. "},{"title":"Speech intelligibility model (MBSTOI)​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#speech-intelligibility-model-mbstoi","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI) [3]. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections 'turned off', specified as 'target_anechoic'), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#references","content":" Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"CEC2 Download","type":0,"sectionRef":"#","url":"docs/cec2/cec2_download","content":"","keywords":""},{"title":"Software​","type":1,"pageTitle":"CEC2 Download","url":"docs/cec2/cec2_download#software","content":" All the necessary software tools are available as a single GitHub repository. We recommend installing the software first and then following the instructions in the repository's README for downloading and unpacking the data. "},{"title":"Data​","type":1,"pageTitle":"CEC2 Download","url":"docs/cec2/cec2_download#data","content":" The data is available for download here. On the download site you will see three data packages are available, clarity_CEC2_core.v1_1.tgz [28 GB] - metadata and dev setclarity_CEC2_train.v1_1.tgz [69 GB] - scenes for training systemsclarity_CEC2_hoairs.v1_0.tgz [144 GB] - impulse responses for generating extended training data All participants will require the core data package. Participants using machine learning approaches will additionally require the train data package. Participants wishing to extend the training set by using our provided scene rendering tools will also require the high order ambisonic impulse responses (i.e., the hoairs package). To unpack the data we recommend you follow the instructions in the Clarity Challenge GitHub repository. danger If you previously downloaded v1_0 of the core and train data, please replace your data with v1_1: an error was found in the head rotations for the initial data release. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cec2/cec2_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cec2/cec2_results#prizes","content":" The Hearing Industry Research Consortium prizes for systems with the best HASPI score were awarded as follows: 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge 3rd place: System E008_hr, Ouyang et al., The Orka Inc Entry to the 2nd Clarity Enhancement Challenge The Hearing Industry Research Consortium prizes for systems providing the best listener intelligibility scores were awarded as follows: 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge 3rd place: System E037, Lei et al., The Nanjing University / Horizon Robotics system for the 2nd Clarity Enhancement Challenge Congratulations to the winners! "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_baseline","content":"","keywords":""},{"title":"Baseline performance​","type":1,"pageTitle":"Baseline System","url":"docs/cec2/software/cec2_baseline#baseline-performance","content":" The average speech intelligibility (HASPI) score for the unprocessed development test set is 0.1615. When processed with the simple baseline hearing aid (i.e., NALR amplification followed by a simple automatic gain compressor) the average HASPI score increases to 0.2493. These results are summarised in the table below. Your task is to improve on the 0.2493 baseline HASPI score. System\tHASPIUnprocessed\t0.1615 NAL-R baseline\t0.2493 "},{"title":"References​","type":1,"pageTitle":"Baseline System","url":"docs/cec2/software/cec2_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (haspi) version 2. Speech Communication, 131, pp.35-46. "},{"title":"Find collaborators","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_find_a_team","content":"Find collaborators If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators. We encourage everyone to join the Clarity Challenge’s Google group to stay updated with project news and announcements. We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group). You are welcome to contact us if you have any questions about forming a team or participating in the challenge: Email the Clarity Team","keywords":""},{"title":"CEC2 Prizes","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"CEC2 Prizes","url":"docs/cec2/taking_part/cec2_prizes#the-team-prize","content":" Team prizes have been made available by the generosity of the Hearing Industry Research ConsortiumThere will be separate HASPI and listening test prizes for the top systems. HASPI prize 1st Place $1000 2nd Place $500 3rd Place $250 Listening Test prize 1st Place $1000 2nd Place $500 3rd Place $250 info Anonymous entries and those with direct links to the Clarity project team are ineligible for cash prizes, sorry. "},{"title":"Scene Generation","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_scene_generation","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"Scene Generation","url":"docs/cec2/data/cec2_scene_generation#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg. "},{"title":"CEC2 Submission","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_submission","content":"","keywords":""},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of 1500 scenes. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of the audiograms and DTT results for a set of listeners anda mapping of which listeners will listen to which scenes. There will also be some clean audio examples for the target talker, that are not the same as the target utterance. For the stage 1 HASPI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. For the stage 2 listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the CEC2 Data page. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#what-audio-do-i-need-to-submit","content":" You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the HASPI evaluation and the second for the listening tests (see submission dates above). Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate, and 0 dB FS corresponds to 100 dB SPL, given the capabilities of the listening test reproduction equipment. The format of signals submitted for HASPI evaluation and for the listening tests is the same. We also encourage you to submit your simulated hearing aid code. See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_HA-output.wav and explained on the CEC2 data page. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., E001 and then packaged using zip or tar or any standard packaging tool. The resulting file should be about 2 GB for the first round. "},{"title":"Technical report​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-2022 Workshop. Deadline - see date above. An author kit and submission instructions will be made available.A draft of the report needs to be uploaded to the Google Drive along with your HASPI signals - see above for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules.Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. You will be able to use the same link to upload materials for both the 1st submission and the 2nd submission if you are selected for the 2nd round. We also encourage you to submit your simulated hearing aid code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"CEC2 Rules","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions.The organisers may enter the challenge themselves but will not be eligible to win prizes. "},{"title":"Transparency​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Anonymous entries are allowed but will not be eligible for prizes.Teams may reserve the right to be referred to using anonymous code names in the published rank ordering. "},{"title":"What information can I use?​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#training-and-development","content":" There is no limit on the amount of training data that can be generated using our tools and training data sets. Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation, the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferers for each hearing aid microphone).The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results).The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.)The head-rotation signal (but if used, a version of the system that does not use it should also be prepared for comparison.) "},{"title":"Computational restrictions​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#computational-restrictions","content":" Teams may choose to use all, some or none of the parts of the baseline model.Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#submitting-multiple-entries","content":" You can submit two entries, where one is optimised for HASPI and the other for listening tests if you wish. In this case: Both systems must be submitted for HASPI evaluation.You must register two teams, submitting each entry as a different team.In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries.head-rotation: if the head-rotation signal is used then a second entry must be submitted that does not use it and allows the benefit to be measured. We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#evaluation-of-systems","content":" "},{"title":"Stage 1: Objective evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#stage-1-objective-evaluation","content":" Entries will be ranked according to average HASPI score across all signals in the evaluation dataset. We will use the HASPI implementation in the baseline system. "},{"title":"Stage 2: Listening test evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#stage-2-listening-test-evaluation","content":" There is a limit on how many systems can be evaluated by the listener panel.A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches.We will choose which will go to the listener panel based on The top N scored using the objective metric HASPI.A sample of M others that use contrasting and promising approaches. "},{"title":"Intellectual property​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive licence to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"Listening Tests","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_listening_tests","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#overview","content":" The listeners will be provided with a USB stereo headset to complete the listening experiment. The experiment will be run by our “Listen@Home” web software running on either the participant’s own computer or a tablet we supply. The software plays each sentence once, then the participant speaks aloud what they think was said by the target talker. Their response is recorded by the headset’s microphone for offline scoring. We ask that the participant uses a quiet room for the experiment. Intelligibility will be evaluated as the number of words identified correctly in the sentence. Our plan is that each listener will undertake a few hours of listening and evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible. Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn. "},{"title":"Listen@Home hardware​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#listenhome-hardware","content":" We will be using Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. Without loudness-recruitment measures for our listeners, we cannot be sure just what loudnesses every participant will hear, so we need to allow them to make the choice here. We have measurements of the output capability of a system in the laboratory: A 1 kHz pure tone set to be the most powerful it can be (i.e., an amplitude range of +/-1 = RMS amplitude of 0.707, and the volume controls at 100%) gave 99 dB(A) SPL on the PC-8 headphones.An ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3, gave 90 dB(A) at the same volume level. With this RMS, the noise had 0.1% of its samples clipped at +/- 1. Due to the above capabilities of the reproduction equipment, in the submitted signals, 0 dB FS should correspond to 100 dB SPL. We will also require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate. We will play the signals as is using an HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"References​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#references","content":" ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"CEC2 FAQ","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_core_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#a-scene-generator","content":" Fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, HOA-IRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid consists of a NAL-R fitting amplification stage [1] followed by a simple automatic gain compressor. It produces output signals in 16-bit wav format ready for HASPI or listening test evaluation. Inputs: Inputs for each hearing aid channel and audiograms to characterise the listeners.Outputs: Stereo hearing aid (HA) outputs signals. "},{"title":"C. HASPI Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#c-haspi-speech-intelligibility-model","content":" Python implementation of the Hearing Aid Speech Perception Index (HASPI) model which is used for objective intelligibility estimation. This will be used in the stage 1 evaluation of entrants (see Rules). Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#references","content":" [1] Byrne, Denis, and Harvey Dillon. "The National Acoustic Laboratories'(NAL) new procedure for selecting the gain and frequency response of a hearing aid." Ear and hearing 7.4 (1986): 257-265. "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_dates","content":"Important Dates 16th November 2021: Launch of challenge, release of data.23rd November 2021: Webinar to introduce the challenge 15:00-17:00 UK time.1st March 2022: Release of evaluation data.21st March 2022: Submission deadline. All entrants submit their predictions plus a draft of their technical report. Scores will be returned with 24 hours of submission.28th March 2022: Deadline for Interspeech paper submission.25th April 2022: Deadline by which all entrants must submit two page technical reports to Clarity Prediction Challenge 2022 workshop.29th June 2022: Clarity Prediction Challenge 2022 workshop.Sept 18-22, 2022: Interspeech 2022 Special Session.","keywords":""},{"title":"Contact Us","type":0,"sectionRef":"#","url":"docs/contact","content":"","keywords":""},{"title":"Send us an email​","type":1,"pageTitle":"Contact Us","url":"docs/contact#send-us-an-email","content":" You can contact the Clarity Team by email at claritychallengecontact@gmail.com "},{"title":"Join the Google group​","type":1,"pageTitle":"Contact Us","url":"docs/contact#join-the-google-group","content":" If you wish to stay updated with Clarity Challenges please sign up the Clarity Challenge’s Google group "},{"title":"Download","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_download","content":"Download The following challenge data are available for download: The challenge training data is available for download as a single 13 GB file, clarity_CPC1_data.v1_1.tgzThe evaluation data in now available (1st March) for download as a single 6 GB file, clarity_CPC1_data.test.v1.tgz. The evaluation data should be untarred into the same root as the training data. The Github repository containing the baseline code is here. The repository contains code for CPC1 and also for the earlier enhancement challenge CEC1. You will find all the necessary instructions for installing the data and setting up the baseline system: i.e. running the MSBG hearing loss model and MBSTOI intelligibility prediction stage. We will be making a further small release in early December to specify the final evaluation metrics that we will be using to rank entries. info The Challenge is now closed but the data is still available for anyone to use. If using the data please cite the following paper Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022.","keywords":""},{"title":"The 3nd Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec3/cec3_intro","content":"","keywords":""},{"title":"Overview of challenge​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#overview-of-challenge","content":" The challenge provides participants with hearing aid input signals representing scenes containing a target speaker. Participants are asked to process the signals to provide hearing aid output signals that will be intelligible to hearing-impaired listeners. The challenge is evaluated using standard objective speech intelligibility metrics but also with listening tests with hearing-impaired listeners. The challenge will be organised into two Tracks which extend the previous 2nd Clarity Enhancement Challenge in complementary directions. Further details of the tracks are presented below. "},{"title":"Track 1: Real hearing aid signals​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#track-1-real-hearing-aid-signals","content":" In the previous CEC2 challenge, hearing aid input signals were simulated using pre-recorded audio sources mixed with simulated room impulse responses and hearing aid head-related transfer functions. In this track, we provide participants with scenes that use the same domestic living room scenario, but which are closer to real hearing aid signals. There will be two types of data: First, the same as CEC2 but now using measured impulse responses from a real room.Second, using acoustic scenes that have been recorded over real hearing-aid shells worn by a listener who is actively engaged in the scene. For the second case, the recordings will be subject to natural head movements and accurate head movement data will be provided for training purposes. "},{"title":"Track 2: Real dynamic background noises​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#track-2-real-dynamic-background-noises","content":" In all previous Clarity challenges, the interfering signals have been static and carefully controlled. In this track, we will use naturally occurring, dynamic noise backgrounds. We are collecting a dataset of 64-channel ambisonic audio recordings from settings that hearing-impaired listeners find challenging. These include train stations, roadsides and large social gatherings (i.e., the 'cocktail party' scenario). Using these recordings and measured impulse responses, we will create a dataset of hearing aid input signals feature target sentences in dynamic background noise. For both tracks, we will be providing standard training, development and evaluation datasets. The training and development datasets will be released at the start of the challenge. The evaluation dataset will be released shortly before the submission deadline without reference signals. Participants will then be asked to submit their processed signals for remote evaluation. Further details of the challenge tracks will be presented on this site in the run-up to the official launch of the challenge on 30th March. To stay up to date please sign up for the Clarity Challenge’s Google group. "},{"title":"Important Dates​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#important-dates","content":" Key dates are as follows 2nd April 2024: Challenge launch with dataset and baseline software 25th July 2024: Evaluation data released 1st Sept 2024: 1st round submission deadline for evaluation by objective measure 15th Sept 2024: 2nd round submission deadline for listening tests Sept-Nov 2024: Listening test evaluation period. Dec 2024: Results announced at a Clarity Challenge Workshop; prizes awarded. The workshop is likely to be a one-day virtual event. Date to be decided. "},{"title":"CEC2 Registration","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_registration","content":"CEC2 Registration Teams are required to register using the form below. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials. Loading… Registration closes on August 28th, but earlier registration will help us to plan for the listening tests.","keywords":""},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cpc1/software/cpc1_baseline","content":"Baseline System Figure 1 is a simplified schematic of the baseline system, where not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener; hence, there is also a system to select a random listener (white ellipse) with a particular set of characteristics (e.g., audiograms). The SPIN that has been improved by the hearing aid is then passed to the prediction stage (orange box). This comprises two models: a hearing loss model, anda binaural speech intelligibility model. This prediction stage (orange box) is what we want you to improve on in this challenge. Figure 1 Simplified overview of the baseline. You are free to choose which parts of the baseline you use and reconfigure the system as you see fit. You can use our hearing loss model as part of your entry, or produce a single model that combines the hearing loss and speech intelligibility models. For an introduction to elements of the prediction model, please see our FAQ, which includes an overview of Speech intelligibility, andHearing loss and what hearing aids do. For the prediction challenge, most examples of the improved SPIN shown in the centre of the diagram come from hearing aid models created by the entrants to the first Enhancement Challenge. Therefore, most audio signals in the prediction challenge data were not processed by the baseline hearing aid model. More details of the different parts of the baseline appear on the software page. See the following sections: Scene GeneratorHearing aid modelHearing loss modelSpeech intelligibility model Download baseline software and data.","keywords":""},{"title":"The 1st Clarity Prediction Challenge","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_intro","content":"","keywords":""},{"title":"Key dates (updated 14/01/22)​","type":1,"pageTitle":"The 1st Clarity Prediction Challenge","url":"docs/cpc1/cpc1_intro#key-dates-updated-140122","content":" 16th November 2021: Launch of challenge, release of data.23rd November 2021: Webinar to introduce the challenge 15:00-17:00 UK time.1st March 2022: Release of evaluation data.21st March 2022: Submission deadline. All entrants submit their predictions plus a draft of their technical report (details below). Scores will be returned with 24 hours of submission.28th March 2022: Deadline for Interspeech paper submission.25th April 2022: Deadline by which all entrants must submit two page technical reports to Clarity Prediction Challenge 2022 workshop.29th June 2022: Clarity Prediction Challenge 2022 workshop.Sept 18-22, 2022: Interspeech 2022 Special Session. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cpc1/cpc1_results#prizes","content":" The Hearing Industry Research Consortium prizes for best system were awarded as follows: 1st place: System E33, Zezario et al, MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids for best performance for a non-intrusive system, 2nd place: System E30, Huckvale et al, ELO-SPHERES Intelligibility Prediction Model for the Clarity Prediction Challenge 2022 for best performance of an intrusive system, 3rd place: System E019, Röttges et al., Speech Intelligibility Prediction for Hearing-Impaired Listeners with the bBSIM-STI Model for best performance in the open-set track The Hearing Industry Research Consortium prizes for best student contribution were awarded as follows: 1st place: Ryandhimas Zezario from the National Taiwan University, 2nd place: Franklin Yohan Alvarez Cardinale from Medizinische Hochschule Hannover, Germany 3rd place: Jana Rossbach from Carl von Ossietzky University, Oldenburg, Germany. Congratulations to the winners! (Note, systems E29 and E32 had links to the organizers and so were not eligible for prizes). "},{"title":"More details​","type":1,"pageTitle":"The 1st Clarity Prediction Challenge","url":"docs/cpc1/cpc1_intro#more-details","content":" Scenario - a description of the listening scenario and how it has been simulated. Baseline System - a description of the baseline software model. Data - the data that can be used to train and evaluate your system during development. Software - the software tools that we are providing to help you build and evaluate a challenge entry. Challenge Rules - the rules to which all challenge entries must adhere. Submission - information about how to prepare your submission. Prizes - information about our prizes. Download - where to go to download the software and challenge data. Find a team - if you'd like to find collaborators to help you compete. FAQ - an extensive FAQ answering key questions and providing background knowledge to help you compete. "},{"title":"CEC2 Data","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#a-training-development-evaluation-data","content":" The dataset of 10,000 scenes is split into three: Training (train).Development (dev).Evaluation (eval). Uses of the data: You should not use the development or evaluation data set for training.The system submitted should be chosen on the evidence provided by the development set.The final listening and ranking will be performed with the (held-out) evaluation set.For more information on augmenting and supplementing the training data, please see the rules.The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b-the-scene-dataset","content":" The complete dataset is composed split into the following sets: Training (6000 scenes, 24 speakers);Development (2500 scenes, 10 speakers);Evaluation (1500 scenes, 6 speakers). Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers. The training, development and evaluation sets are disjoint with respect to the target speakers. The three sets are balanced for the gender of the target talker. High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on scene generation for more details. Time-domain acoustic signals are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files and ac files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials. "},{"title":"B.1 Training data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears).The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate HOA-IRs and downmixed;The interferers convolved with the appropriate HOA-IRs and downmixed;The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid) The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (‘target_anechoic’). For use as a reference when computing HASPI scores.Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.A signal describing the head rotation (i.e. azimuthal angle at each sample) "},{"title":"B.2 Development data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b2-development-data","content":" This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set) Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended. Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section B.3). When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below). "},{"title":"B.3 Evaluation data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b3-evaluation-data","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)Speaker adaptation sentence - 4 clean utterances for each target speaker. One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities: The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture.The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics. These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking. "},{"title":"C Listener data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them. The same types of data are available for training, development and evaluation. A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English. The quantification of the listeners’ hearing is done with: Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound.Results from the DTT (digit-triplet test, also known as a triple digit test)​ The audiogram is the standard clinical measurement of hearing ability. It’s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., British Society of Audiology Recommended Procedure. Typically it’s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. CAMFIT, NAL-NL2 or DSL . Note that the scale of an audiogram is in “dB HL” = “dB Hearing Level”. This is not dB SPL; instead, it’s relative to an international standard such that 0-dB is “normal hearing” at every frequency. For background see Why the Audiogram Is Upside-down | The Hearing Review and The Quest for Audiometric Zero | The Hearing Review The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al.'s high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations used in filenames​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d1-abbreviations-used-in-filenames","content":" The following abbreviations are used consistently throughout the filenames and references in the metadata. R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d2-general","content":" Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones.0 dB FS in the audio signals corresponds to 100 dB SPL.Metadata will be stored in JSON or csv format as appropriate with the exception of Room descriptions are stored as RAVEN project ‘rpf’ configuration files and ‘ac’ files. (However, key details are reflected in the scene.json files) Signals are saved within the Python code as 32-bit floating point by default.Output signals for the listening tests will be required to be in 16-bit format. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was given to the talkers to say.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d4-source-audio-files","content":" Wav files containing the original source materials. Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav<Scene ID>_interferer_<Channel ID>.wav<Scene ID>_mixed_<Channel ID>.wav<Scene ID>_target_anechoic.wav - at hearing device front microphone<Scene ID>_hr.wav - head rotation signal Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone The anechoic signal is the signal that will be used as the referernce in the HASPI evaluation. The head rotation signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured. "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d6-enhanced-signals","content":" The signals that are output by the baseline enhancement (hearing aid) model. <Scene ID>_<Listener ID>_HA-output.wav #HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel. "},{"title":"D.7 Room metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d7-room-metadata","content":" JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene. rooms.json [ { "name": "R00001", // ID of room linking to RAVEN rpf and ac files "dimensions": "6.9933x3x3", // Room dimensions in metres "target": { // # target positions (x,y,z) and view vectors (look directions, x,y,z) "position": [-0.3, 2.4, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "listener": { "position": [-0.1, 5.2, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "interferers": [ { "position": [0.4, 4.0, 1.2], }, { // # etc, up to three interferers } ], }, ... ] "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d8-scene-metadata","content":" JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section D.7) plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings. scenes.json [ { "scene": "S00001", // the unique scene ID "room":: "R00001", // ID of room linking to rooms.json "target": { "name": "T005_JYD_04274", // target speaker code and BNCid "time_start": 107210, // start time of target in samples "time_end": 217019 // end time of target in samples }, "listener": { "rotation": [ // Defines the head motion - list of time, direction pairs { "sample": 88200, "angle": 30 // Azimuth angle in degrees }, { "sample": 176400, "angle”: 50 } ], "hrir_filename": ["VP_N4-ED", "VP_N4-BTE_fr", "VP_N4-BTE_mid", "VP_N4-BTE_rear"] // HRIR filename for each channel to generate }, "interferers": [ { "position": 1, // Index of interferer position (See rooms.json) "time_start": 0, // time of interferer onset in samples "time_end": 261119, // time of interferer offset in samples "name": "track_1353255", // interferer name "type": "music", // interferer type: speech, noise or music "offset": 4076256 // index into interferer file at which to extract sample }, { // etc, up to three interferers } ], "dataset": "train", // the dataset to which the scene belongs: train, dev or eval "duration": 261119, // total duration of scene in samples "SNR": 6.89 // targe SNR for the scene }, ... ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room. The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section D.9). Noise interferers are labelled with a type “music”, “noise” or “speech” and then have a unique name identifying the file. For speech: <ACCENT_CODE>_<SPEAKER_ID> where ACCENT_CODE is a three letter code identify the accent region and gender of the speaker and SPEAKER_ID is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK midlands accented female, speaker 02484. The speech comes from Demirshan et al. [1] which provides more details.For noise: CIN_<NOISE_TYPE>_<NOISE_ID> where NOISE_TYPE is one of dishwasher, fan, hairdryer, kettle, microwave, vacuum (vacuum cleaner) or washing (washing machine) and NOISE_ID is a unique 3-digit code for the sample.For music: track_<TRACK_ID> where TRACK_ID is unique 7-digit track identifier taken from the MTG Jamendo database. [2] Given the type and name, further interferer metadata can be found in the files masker_speech_list.json, masker_noise_list.json and masker_music_list.json which are distributed with the challenge. "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d9-listener-metadata","content":" Audiogram data is stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ … ], }, "L0002": { ... }, ... } Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS "},{"title":"D.10 Scene-Listener map​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d10-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003", "L0005", "L0007"], ... } "},{"title":"References​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#references","content":" Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, Avialable OnlineBogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", Available Online "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cpc1/taking_part/cpc1_prizes#the-team-prize","content":" There will be separate prizes for the top contributions by students and non-students.There will be a separate prize for the best performing non-intrusive model.Students eligible for the prize are expected to have made a significant contribution and be first author on the workshop paper.Team prizes have been made available by the generosity of the Hearing Industry Research Consortium. General prize 1st Place $1000 2nd Place $500 3rd Place $250 Student prize 1st Place $1000 2nd Place $500 3rd Place $250 info The 1st Clarity Prediction Challenge has now finished. For the details of the systems submitted, results and prize winners, please visit the Clarity-2022 Workshop website. "},{"title":"FAQ","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"The 2nd Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec2/cec2_intro","content":"","keywords":""},{"title":"Overview of challenge​","type":1,"pageTitle":"The 2nd Clarity Enhancement Challenge","url":"docs/cec2/cec2_intro#overview-of-challenge","content":" We want you to improve speech in the presence of background noise - see Figure 1. On the left there is a person with a quantified hearing loss. They are listening to speech from the target talker on the right. They are both in a living room. There is interfering noise from a number of sources (TV and washing machine in this case). The speech and noise is sensed by microphones on the hearing aids of the listener. Your task is to take these microphone feeds and the listener’s hearing characteristics, to produce signals where the speech is more intelligible. We will evaluate the success of your processing using an objective speech intelligibility metric. Some entrants will also be evaluated by a panel of listeners with a hearing impairment. Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound. The scenario has been made more difficult than the first Clarity Enhancement Challenge by having: More noise sourcesMore varied noise sources (speech, music, appliances)The listener turns their head during the talking.Less predictable target onset timing. For more details use the contents pane on the left to navigate the CEC2 site. "},{"title":"Baseline system","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_baseline","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"Baseline system","url":"docs/cpc2/cpc2_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (haspi) version 2. Speech Communication, 131, pp.35-46. "},{"title":"Submission","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#registration","content":" Teams are required to register to help us organise the challenge. Registered teams will be assigned a unique team ID. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems. The evaluation data is available for download here clarity_CPC1_data.test.v1.tgz. See the download page for more details. Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours for of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results. "},{"title":"What do I need to submit?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#what-do-i-need-to-submit","content":" All teams must submit Their predicted intelligibility scoresAn Interspeech paper describing their work (encouraged)A two page technical report (mandatory) "},{"title":"The predicted intellgibility scores​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#the-predicted-intellgibility-scores","content":" You must submit your predicted intelligibility scores for the signals provided. The predictions should be sent in CSV format files with two columns: signal_ID, intelligibility_score Where the signal_ID is the unique signal identifier used for the wav file name (e.g., S08510_L0239_E001) and intelligibility_score is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., for 0 to 100). Your CSV files should be named as follows CPC1_<TEAM_ID>.test.csv and CPC1_<TEAM_ID>.test_indep.csv for closed set and open set evaluations respectively, where <TEAM_ID> is your individual team ID, e.g. 'E001'. The files should be sent as email attachments to the email address: claritychallengecontact@gmail.com Please use "CPC1 Submission <TEAM_ID>" as the subject line. We also encourage you to submit your prediction model(s) code. info All registered teams will be emailed with their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline. "},{"title":"Interspeech paper submission​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#interspeech-paper-submission","content":" All teams are strongly encouraged to submit a paper describing their work to the Interspeech 2022 Special Session "Speech Intelligibility Prediction for Hearing-Impaired Listeners". Interspeech submission instructions are here https://interspeech2022.org/forauthor/submissions.php The Interspeech papers need to be initially submitted by March 21st (title and abstract), with the full paper due on March 28th. "},{"title":"The technical report​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#the-technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-CPC1-2022 Workshop. Deadline 25th April 2022. An author kit and submission instructions will be made available. A draft of the report needs to be submitted along with your predictions by 21st March. The draft needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates here. Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules. Your report should cite the following document, which provides an overview of the challenge and the baseline system: Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022. The document can be accessed here. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Rules","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#teams","content":" Teams must have registered and nominated a contact person.Teams can be from one or more institutions.Teams can comprise up to 10 persons.The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system(s)/model(s) and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.If a group of people submits multiple entries, they cannot win more than one prize in a given category.All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced. "},{"title":"Intellectual property​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"What information can I use?​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#training-and-development","content":" For Track 1 (closed-set), teams should use the signals and listener responses provided in the CPC1.train.json file.Track 2 (open-set), teams should use the signals and listener responses provided in the smaller CPC1.train_indep.json. In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The FAQ gives links to some models that might be used for this. Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#evaluation","content":" The only data that can be used by the prediction model(s) during evaluation are The output of the hearing aid processor/system.The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata.The prompt for the utterances (the text the actors were given to read) If you use text from the speech prompts as part of evaluating the systems, we will classify that as an intrusive method for the purpose of awarding prizes. "},{"title":"Baseline models and computational restrictions​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#baseline-models-and-computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.There is no limit on computational cost.Models can be non-causal. "},{"title":"What sort of model do I create?​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#what-sort-of-model-do-i-create","content":" You can create either a single prediction model that calculates speech intelligibility given a listener's hearing characteristics (that is, the metadata provided), or you can submit separate models of hearing loss and speech intelligibility.You should report the speech intelligibility for the whole sentence for each audio sample/listener combination. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#submitting-multiple-entries","content":" If you wish to submit multiple entries, All systems/models must be submitted for evaluation.Your systems must have significant differences in their approach.You must register multiple teams, submitting each entry as a different team.In your documentation, you must make it clear how the submissions differ. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#evaluation-of-systems","content":" Entries will be ranked according to their performance in predicting measured intelligibility scores. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cec1/data/cec1_scenario","content":"","keywords":""},{"title":"Simulating the audio signals received by the hearing aid​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#simulating-the-audio-signals-received-by-the-hearing-aid","content":" A listener – or receiver – is sitting or standing in a small room that has low to moderate reverberation. The person is listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity utterances. Simultaneously, an interferer sound is playing; this is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). An example scenario is shown in Figure 1. The room geometry showing origin location is defined in Figure 2. Example SceneRoom Geometry Figure 1. Example overview. Figure 3, below, shows the basic scene generator. The sound at the receiver is generated first by convolving the source signals with Binaural Room Impulse Responses (BRIRs). The reverberated speech and noise signals are then summed after appropriate gains are applied. The gains are set to achieve a Signal-to-Noise Ratio (SNR), which is chosen pseudo-randomly between limits. The BRIRs are generated using the RAVEN Geometric Room Acoustic Model [1]. There are additional signal paths and outputs generated that have been omitted from Figure 3 for clarity. In addition to the reverberated signals associated with the hearing aid microphones, the signal close to the eardrum is also generated. You can also access the reverberated speech and noise signals before they are mixed. Figure 3. Simplified diagram of the scene generator. RIR refers to Room Impulse Response, HRTFs refers to Head Related Transfer Functions, SNRs are signal-to-noise ratios, and gain calc. indicates gain calculation. Dry here means anechoic. The outputs are noisy speech signals. "},{"title":"Room Geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#room-geometry","content":" Cuboid rooms with dimensions length, LLL, by width, WWW, by height, HHH.Length LLL set using a uniform probability distribution random number generator with 3≤L(m)≤83 \\le L (m) \\le 83≤L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7m2.7 m2.7m and standard deviation of 0.8m0.8 m0.8m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7m217.7 m^217.7m2 and standard deviation of 5.5m25.5 m^25.5m2. "},{"title":"Room Materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least at 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The receiver​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2m1.2 m1.2m (sitting) or 1.6m1.6 m1.6m (standing). The receiver is positioned so as to be roughly facing the target talker. That is to say, within ±30\\pm 30±30 degrees of target. The angle = 7.5n7.5n7.5n where nnn is an integer and ∣n∣≤4|n| \\le 4∣n∣≤4. "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. "},{"title":"The interferer​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-interferer","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) The interferer is a single point source radiating speech or non-speech noise omnidirectionally. It is placed within the room using uniform probability distribution random number generators for the coordinates. These constraints ensure the interferer is not too close to the wall or receiver. It is set to be at the same height as the receiver. Note, this means that the interferer can be at any angle relative to the receiver. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ "},{"title":"Timing​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#timing","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"Signal-to-Noise Ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#signal-to-noise-ratio-snr","content":" The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. Note that the interferer can be at any azimuth from the point of view of the listener/receiver. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen using a uniform probability distribution random number generator between the limits of ranges specified for the speech and non-speech interferers. The better ear SNR, here termed BE_SNR, which models the better ear effect in binaural listening, is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the interferer that overlaps with the target (without padding) , i‘, and the target (without padding), t‘, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i‘ and t’ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The whole interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050];Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001]; Figure 4, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"Obtaining the data","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_download","content":"Obtaining the data The following challenge data are available for download: The challenge data is available for download as a single 11 GB file, clarity_CPC2_data.v1_1.tgz.The evaluation data is now available for download as a single 478 MB file, clarity_CPC2_data.test.v1_0.tgz. The evaluation data should be untarred into the same root as the training data. The Github repository containing the baseline code is here. The repository contains code for CPC2 and also for the earlier enhancement and prediction challenges, i.e., CEC1, CEC2 and CPC1. You will find all the necessary instructions for installing the data and running the baseline system.","keywords":""},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_dates","content":"Important Dates All dates are to be intended anywhere on earth time (AoE). 1st March 2023: Launch of challenge, release of data.1st July 2023: Release of evaluation data and opening of submission window.31st July 2023: Submission deadline. All entrants must have submitted their predictions plus a draft of their technical report. Scores will be returned to entrants within 24 hours of submission. 19th August 2023: Clarity 2023 workshop.19th September 2023: Deadline for submission of finalised Workshop papers Please note that while workshop attendance is not a pre-requisite for participation in the challenge, we strongly encourage all entrants to attend the workshop to present their work.","keywords":""},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_scenario","content":"","keywords":""},{"title":"Brief overview of random scenario generation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#brief-overview-of-random-scenario-generation","content":" The scenarios are for: Small rooms that have low to moderate reverberation with randomized dimensions and locations of materials such as carpets.The locations of the listener, target and interferer are randomized.The target talker is selected from our set of 40 speakers.The target talker produces a randomly chosen 7-10 word utterance.There are two or three interferer sounds running throughout the audio. This can be a: stream of competing speech;continuous domestic noise source (e.g., a washing machine); ormusic source. The target speech source will onset about one second into the scene.The listener starts not looking at the target talker, but around the time the target speech starts, the listener rotates their head to approximately face towards the target. An example scenario is shown in Figure 1. It also defines the coordinate system and origin for the room generation. Figure 1, An example scenario with two noise interferers. "},{"title":"Room geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#room-geometry","content":" Cuboid rooms with dimensions length LLL by width WWW by height HHH.Length LLL set using a uniform probability distribution random number generator with 3<L(m)≤83 < L(m) \\le 83<L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7 m and standard deviation of 0.8 m.Area L×WL×WL×W set using a Gaussian distribution random number generator with mean 17.7 m2^22 and standard deviation of 5.5 m2^22 "},{"title":"Room materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The listener (receiver)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-listener-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2 m (sitting) or 1.6 m (standing). "},{"title":"Head rotation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#head-rotation","content":" The listener is initially oriented away from the target and will turn to be roughly facing the target talker around the time when the target speech starts Orientation of listener at start of the sample ~25° from facing the target (standard deviation = 5°), limited to +-2 standard deviations.Start of rotation is between -0.635 s to 0.865s (rectangular probability)The rotation lasts for 200 ms (standard deviation =10 ms)Orientation after rotation is 0-10° (random with rectangular probability distribution). "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. The target speech starts between 1.0 and 1.5 seconds into the mixed sound files (rectangular probability distribution). "},{"title":"The interferers​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-interferers","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) Each interferer is modelled as an omnidirectional point source. They will be radiating: speech, noise or music. They are placed within the room using uniform probability distribution random number generators for the coordinates. The following constraints ensure the interferer is not too close to the wall or listener. However, interferers are independently positioned with no constraint on their position relative to each other. They are set to be at the same height as the listener. Note, this means that the interferers can be at any angle relative to the listener. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ The interferers are present over the whole mixed sound file. "},{"title":"Signal-to-noise ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#signal-to-noise-ratio-snr","content":" The SNR of the mixtures are engineered to achieve a suitable range of speech intelligibility values. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the summed interferers that overlaps with the target (without padding), i′i'i′, and the target (without padding), t′t't′, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i′i'i′ and t′t't′ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The summed interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The frequency response is shown in Figure 2. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050]Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001] Figure 2, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cpc2/taking_part/cpc2_prizes#the-team-prize","content":" There will be a separate prize for the top two systems.Prizes have been made available by the generosity of the Hearing Industry Research Consortium. 1st Place £700 (GBP) 2nd Place £350 (GBP) info The 2nd Clarity Prediction Challenge has now finished. For the details of the systems submitted, results and prize winners, please visit the Clarity-2023 Workshop website. "},{"title":"FAQ for CPC2","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsupervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantify the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"The Challenge Rules","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_rules","content":"","keywords":""},{"title":"What information can I use?​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#training-and-development","content":" Teams should use the signals and listener responses provided in the CPC2.train.json file. In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The FAQ gives links to some models that might be used for this. Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#evaluation","content":" The only data that can be used by the prediction model(s) during evaluation are described below. For non-intrusive methods: The output of the hearing aid processor/system.The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata. Additionally, for intrusive methods: The target reference signal, i.e. the target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The prompt for the utterances (the text the actors were given to read). "},{"title":"Baseline models and computational restrictions​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#baseline-models-and-computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.There is no limit on computational cost.Models can be non-causal. "},{"title":"What sort of model do I create?​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#what-sort-of-model-do-i-create","content":" You model should report the speech intelligibility for the whole sentence for each audio sample/listener combination, i.e. a single score that represents a prediction of the proportion of words that would be recognised correctlyThe model architecture is entirely up to you, e.g. you can create a model that attempts to recognise individual words and then reduces this down to a proportion, or you can estimate an intelligibility score directly from the audio. Models may have explicit hearing loss model stages or be trained directly to map signals and audiograms to predictions. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#submitting-multiple-entries","content":" If you wish to submit multiple entries, Your systems must have significant differences in their approach.You must contact the organisers to discuss your plans.If accepted you will be issued with multiple Team IDs to distinguish your entries.In your documentation, you must make it clear how the submissions differ. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#evaluation-of-systems","content":" Entries will be ranked according to their performance in predicting measured intelligibility scores.The system score will be taken to be the RMSE between the predicted and measured intelligibility scores across the complete test set.Separate rankings will be made for intrusive and non-intrusive methods.Systems will only be considered if the technical report has been submitted and the system is judged to be compliant with the challenge rules. "},{"title":"Teams​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#teams","content":" Teams must have registered and nominated a contact person.Teams can be from one or more institutions.The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents on the challenge website (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system(s)/model(s) and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.If a group of people submits multiple entries, they cannot win more than one prize in a given category.All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced.Teams are strongly encouraged to submit their report for presentation at the Clarity-2023 Interspeech Satellite Workshop. "},{"title":"Intellectual property​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). The entrants' “Submission” will consist of a set of intelligibility predictions and an accompanying technical report. The Challenge is organised by the “Challenge Organiser”. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"The 2nd Clarity Prediction Challenge","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_intro","content":"","keywords":""},{"title":"Short Description​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#short-description","content":" The task involves estimating the intelligibility of speech-in-noise signals that have been processed by hearing aid algorithms and presented to listeners with hearing loss. Each signal contains a short sentence that the listeners were asked to repeat. The system you build needs to be able to predict how many of the words were recognised correctly by the listeners. It is not expected that systems can do this accurately on a per sentence basis, but rather we will rank systems on this basis of how well they perform over a large evaluation set, i.e., which system produces the lowest average estimation error. The hearing aid signals being assessed vary widely in quality. Examples of good, fair and poor signals are provided below. Your prediction algorithm needs to be able to cope with this variation. Good\tFair\tPoor Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. "},{"title":"The data​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#the-data","content":" You will be provided with a set of training data which you can use to develop your systems. This data consists of Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The corresponding clean reference signals (the original speech);Characteristics of the listeners (pure tone audiograms, etc);The measured speech intelligibility scores from listening tests, where the listener was asked to say what they heard after listening to the hearing aid processed signal. For full details of the data see the Data page. "},{"title":"The task​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#the-task","content":" You will be provided with an evaluation set containing Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The audiogram of a listener;The clean reference signal (the original speech). Your task will be to produce a score (0.0 to 1.0), which should predict the proportion of words in the reference signal that the listener would be able to repeat correctly after listening to the hearing aid processed signal. We will be considering two types of system: intrusive and non-intrusive. Intrusive systems (also known as double-ended) are those that require a clean speech reference, and non-intrusive systems (also known as single-ended) are those that use the hearing aid output alone. Intrusive and non-intrusive systems will be separately ranked according to the RMSE between their predictions and the true values. To help you get started we have provided a baseline system that uses the HASPI metric to predict the speech intelligibility score. Details of this system are available on the Baseline page. For full details of the task see the rules page. "},{"title":"Registering and submitting​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#registering-and-submitting","content":" To take part in the challenge you will need to register your team and download the data. Entrants will have until 31st July to complete their submissions. Full instructions for submission are available on the Submission page. "},{"title":"CPC2 Submission","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#registration","content":" Teams are required to register to help us organise the challenge. Registered teams will be assigned a unique team ID. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems. The evaluation data is will be made available when the submission period opens. See the download page for more details. There will be three evaluation sets (eval1, eval2 and eval3), corresponding to the three three training data partitions. i.e., predictions for the eval1 set should be made with systems trained on the train1 partition; eval2 with train2 and eval3 with train3. Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results. "},{"title":"What do I need to submit?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#what-do-i-need-to-submit","content":" All teams must submit Their predicted intelligibility scoresA two page technical report "},{"title":"The predicted intelligibility scores​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#the-predicted-intelligibility-scores","content":" Scores for each evaluation set should be stored in a separate CSV file named as follows CPC2_<TEAM_ID>.<SET>.csv, where <TEAM_ID> is your individual team ID, e.g. 'E001' and <SET> is the evaluation set number, either 1, 2, or 3. The CSV files should have two columns, signal_ID, intelligibility_score where the signal_ID is the unique signal identifier used for the wav file name (e.g., S08510_L0239_E001) and intelligibility_score is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., from 0 to 100). The three CSV files should be sent as email attachments to the email address: claritychallengecontact@gmail.com Please use "CPC2 Submission <TEAM_ID>" as the subject line. We also encourage you to make your prediction model code available via an open-source license, but this is not a pre-requisite for entry (see challenge rules). info All registered teams will be emailed with a reminder of their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline. "},{"title":"The technical report​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#the-technical-report","content":" The two page technical report must be submitted in the format required for the Clarity-2023 Workshop. The author kit and link for submission can be found on the workshop website. The report needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates here. Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules. Note, you will not have your final evaluation set scores when you submit your report. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). We will then release the groundtruth listener responses the day after the submission deadline (i.e. 1st August) to allow teams to perform further analysis of their results. This extra information can then be included in a revised version of your report, which will be published on the workshop website in time for the workshop itself on 19th August. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"CPC2 Registration","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_registration","content":"","keywords":""},{"title":"Google group​","type":1,"pageTitle":"CPC2 Registration","url":"docs/cpc2/taking_part/cpc2_registration#google-group","content":" If you haven't done so already, please sign up to Clarity's Google group to keep up to date with the challenges. "},{"title":"ICASSP 2023 More ecologically-valid eval set","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_new_evaluation","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#overview","content":" This more ecologically-valid eval set (eval2) has been designed to answer the following research question: Can systems trained on simulated data generalise to more ecologically-valid measurement data? Recordings were carried in a real room using live talkers.The talkers were recorded on both a close microphone and also a 1st-order ambisonic microphone at the listener position. Head rotations are done using the spherical harmonic representation of the sound.HRTFs are applied to get the hearing-aid microphone signals, as for the simulated datasets. The talkers were recorded in noise-free conditions.Noise, music and speech interferers were played from loudspeaker and recorded on the ambisonic microphone.The target talker and intereferer are then mixed to create a scene with a desired SNR.The random positions of the sources and receivers were achieved using the same limitations as applied to the simulated set (e.g. target talker and listener at least 1m apart) Differences between simulated and ecologically-valid datasets: Talkers speaking and behaving different when asked to talk to a distant microphone in a real room.Real room acoustic altering sound instead of simulation using geometric room acoustic model.Directivity of interferers not omni-directional.Transducer noise on the distant ambisonic microphone.Measurements had lower order Ambisonics than used in the simulations. "},{"title":"Environment​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#environment","content":" Recordings were done in the Acoustics Research Centre's listening room at the University of Salford. Mid-frequency reverberation time: 0.27sRoom dimensions: 6.6m × 5.8m × 2.8mBackground noise: 5.7 dBA Figure 1. The listening room (photo not from evaluation set recording). "},{"title":"Equipment​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#equipment","content":" Close microphone: Neumann KM184 cardioidClose microphone preamp: Alice mic.amp.pak1Ambisonic microphone: Sennheiser Ambeo VRInterface: RME Fireface UFXLoudspeaker for interferer: M-audio BX8a "},{"title":"Target speech​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#target-speech","content":" A new set of 1,600 sentences generated from the British National Corpus not previously used by Clarity. These were generated using the same process as before [1]. The sentences were read live by 10 actors: 5 male and 5 female. Ages ranged from 20 to 62.Actors were standing. The talker faced the ambisonic microphone. They were told to talk to that microphone and ignore the close microphone.Recorded in noise-free conditions.Each speaker recorded 160 unique sentences, in blocks of 10 talking positions.A cardioid microphone about 50 cm from the talker recorded the reference speech for HASPI and HASQI. "},{"title":"Interferers​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#interferers","content":" Recordings reproduced by loudspeakers.Recordings of speech, noise and muisc same sources as CEC2 evaluation set.Each interferer recorded separately on the ambisonics microphone.Loudspeaker facing ambisonic microphone "},{"title":"Listener​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#listener","content":" Recordings on a 1st order ambisonics microphone.Front of ambisonic room along x-axis of room.Head rotation done virtually via spherical harmonics with the same statistics as the training set.HRTFs applied to the ambisonic recordings using a virtual loudspeaker set-up to give the signals on the hearing aid microphones. "},{"title":"Talker, noise and listener position​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#talker-noise-and-listener-position","content":" 16 different room layouts (see Figure 2) with random talker, interferer and listener positions. These positions determined using the same protocol as used for the simulation. A block of 10 sentences read for each layout.Sources and receivers at the same height (but some variation in the talker z-coordinate because of height differences in the actors). Figure 2. The 16 layouts. T talker; A ambisonic mic; N noise interferer; S speech interferer; M music interferer. "},{"title":"Publication​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#publication","content":" The target speech and interferers will be mixed to gain the desired signal to noise ratio using the same process as for the simulation set. The dataset will be available 1st February 2023. "},{"title":"Example recordings​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#example-recordings","content":" Recording of script reading by someone not used for the evaluation set. The audio starts 3-4 seconds into the recording. Close microphone: Your browser does not support the audio element. Ambisonic microphone, A-format: Front-left-up: Your browser does not support the audio element. Front-right-down: Your browser does not support the audio element. Back-left-down: Your browser does not support the audio element. Back-right-up: Your browser does not support the audio element. "},{"title":"References​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#references","content":" [1] Graetzer, S., Akeroyd, M.A., Barker, J., Cox, T.J., Culling, J.F., Naylor, G., Porter, E. and Viveros-Muñoz, R., 2022. Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus. Data in Brief, 41, p.107951. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cpc2/cpc2_results#prizes","content":" The Hearing Industry Research Consortium best system prizes were awarded as follows: 1st place: Cuervo and Marxer, Temporal-heirarchical features from noise-robust speech foundation models for non-intrusive intelligibility prediction 2nd place: Mogridge, Close, Sutherland, Goetze and Ragni, Pre-training intermediate ASR features and Human memory simulation for non-intrusive speech intelligibility prediction in the Clarity Prediction Challenge 2 (Note, although 1st and 2nd place systems had very similar RMSE scores, a paired t-test showed that the difference was highly significant). Congratulations to the winners! "},{"title":"Registration","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_registration","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Registration","url":"docs/cpc1/taking_part/cpc1_registration#registration","content":" Please use this Google form to register. Please submit one form per team, i.e., providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. Please register early to help us organise the challenge. "},{"title":"Google group​","type":1,"pageTitle":"Registration","url":"docs/cpc1/taking_part/cpc1_registration#google-group","content":" If you haven't done so already, please sign up to Clarity's Google group to keep up to date with the challenges. "},{"title":"Scene Generation","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_scene_generation","content":"","keywords":""},{"title":"The scenario​","type":1,"pageTitle":"Scene Generation","url":"docs/icassp2023/data/icassp2023_scene_generation#the-scenario","content":" The scenario is someone listening to a target speaker in a room with two or three interfering sound sources (Figure 1). The scenes are described by a large number of randomised parameters: The room size and materials (which create moderate reverberation typical of a living room).The identity of the target talker (one of 40 possible speakers).The 7-10 word sentence being uttered by the target talker.The listener, target talker and noise interferer locations.The head orientation of the listener. Initially, the listener is not facing the target talker, but around the time the target speech starts, the listener rotates their head to face the target approximately.The interferer sound samples, which can be a: stream of competing speech; continuous domestic noise source (e.g., a washing machine); or music source.The speech onset and offset times.While scene generating software is provided, we anticipate most entrants would use our database of pre-mixed signals. The website will provide a full description of the scene generation.The main audio signals provided are for 3 microphones on two Behind-The-Ear (BTE) hearing aids (left and right ear). While scene generating software is provided, we anticipate most entrants would use our database of pre-mixed signals. The website will provide a full description of the scene generation. The main audio signals provided are for 3 microphones on two Behind-The-Ear (BTE) hearing aids (left and right ear). Figure 1. An example scenario with two noise interferers. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cpc1/software/cpc1_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#a-scene-generator","content":" The scene generator is fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, BRIRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid processor is based on openMHA [1] but with a Python wrapper. The python code configures openMHA with a Camfit compressive fitting [2] for a specific listener’s audiogram. This configuration of openMHA includes multiband dynamic compression, non-adaptive differential processing and a softclip plugin. The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly. The main inputs and outputs for the processor are as follows: Inputs: Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in ‘scenes_listeners.json’ and an entry in the listener metadata json file ‘listeners.json’ for that IDOutputs: The stereo hearing aid output signal, <scene>_<listener>_HA-output.wav "},{"title":"C. Hearing Loss model​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#c-hearing-loss-model","content":" Open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge (e.g., [3]). Inputs: A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears).Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"D. Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#d-speech-intelligibility-model","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI; [4]). This is an experimental baseline tool that is level-independent. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#references","content":" Kayser, H., Herzke, T., Maanen, P., Pavlovic, C. and Hohmann, V., 2019. Open Master Hearing Aid (openMHA): An integrated platform for hearing aid research. Journal of the Acoustical Society of America, 146(4), pp. 2879-2879.Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"ICASSP 2023 Clarity Challenge Schedule","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_dates","content":"ICASSP 2023 Clarity Challenge Schedule Key dates are as follows 28th Nov 2022: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session","keywords":""},{"title":"Results","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_results","content":"Results The Clarity ICASSP-2023 Enhancement Challenge is now complete. Results are shown below along with links to the system description papers. The table below reports the HASPI, HASQI and average (over HASPI and HASQI) scores for all the submitted systems. Results are shown for both Eval 1 (the simulated evaluation set) and Eval 2 (using the real recordings). Where a system ID ends with '_data', additional training data has been used. Those that end with '_hr' has exploitied the head rotation information. Links to the system reports are also provided. The Eval 1 average has been used to rank the systems. Rank\tTeam\tID\tPaper\tEval 1 (HASPI)\tEval 1 (HASQI)\tEval 1 (Average)\tEval 2 (HASPI)\tEval 2 (HASQI)\tEval 2 (Average)8\tBaseline\tBaseline 0.266\t0.128\t0.197\t0.176\t0.121\t0.149 9\tT001\tE002\tLink\t0.179\t0.093\t0.136\t0.101\t0.078\t0.09 7\tT002\tE009\tLink\t0.286\t0.161\t0.224\t0.126\t0.108\t0.117 5\tT003\tE014\tLink\t0.797\t0.414\t0.606\t0.291\t0.11\t0.201 10\tT004\tE023\tLink\t0.117\t0.047\t0.082\t0.026\t0.019\t0.018 2\tT005\tE028\tLink\t0.78\t0.526\t0.653\t0.026\t0.019\t0.022 1\tT005\tE028_data\tLink\t0.816\t0.57\t0.693\t0.249\t0.154\t0.199 4\tT006\tE029\tLink\t0.835\t0.393\t0.613\t0.256\t0.104\t0.18 3\tT006\tE029_hr\tLink\t0.838\t0.393\t0.616\t0.256\t0.103\t0.18 6\tT007\tE030\tLink\t0.729\t0.316\t0.522\t0.284\t0.132\t0.208","keywords":""},{"title":"ICASSP 2023 Clarity Challenge Download","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_download","content":"","keywords":""},{"title":"Software​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge Download","url":"docs/icassp2023/icassp2023_download#software","content":" All the necessary software tools are available as a single GitHub repository. A new version of the repository code, v0.2.0, has been released for use with the challenge. It contains a recipe for running the baseline and standard evaluation (recipes/icassp2023). "},{"title":"Data​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge Download","url":"docs/icassp2023/icassp2023_download#data","content":" The data is available for download here. On the download site you will see four data packages are available, clarity_CEC2_core.v1_1.tgz [28 GB] - metadata and dev set clarity_CEC2_train.v1_1.tgz [69 GB] - scenes for training systems clarity_CEC2_hoairs.v1_0.tgz [144 GB] - impulse responses for generating extended training data clarity_CEC2_icassp2023_eval.v1_0.tgz [6.5 GB] - the eval1 and eval2 evaluation sets (added on 2nd Feb 2023). All participants will require the core data package. Participants using machine learning approaches will additionally require the train data package. Participants wishing to extend the training set by using our provided scene rendering tools will also require the high order ambisonic impulse responses (i.e., the hoairs package). To unpack the data we recommend you follow the instructions in the Clarity Challenge GitHub repository. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_core_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#a-scene-generator","content":" Fully open-source Python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, HOA-IRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Hearing aid enhancement stage​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#b-hearing-aid-enhancement-stage","content":" The hearing aid enhancement stage supplied simply reduces the six channel input to two channels by selection the 'front' microphone on each ear. This is the component that you are challenged to replace. Inputs: 6 channel hearing aid input (3 microphones per for each ear)Outputs: An enhanced stereo signal that is passed to the amplification stage. "},{"title":"C. The hearing aid amplification stage​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#c-the-hearing-aid-amplification-stage","content":" The hearing aid amplifier consists of a NAL-R fitting amplification stage [1] followed by a simple automatic gain compressor. It produces output signals in 16-bit wav format ready for HASPI and HASQI evaluation. Inputs: Stereo output of the enhancement stage and audiograms to characterise the listeners.Outputs: Stereo hearing aid (HA) outputs signals. "},{"title":"D. HASPI Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#d-haspi-speech-intelligibility-model","content":" Python implementation of the Hearing Aid Speech Perception Index (HASPI) [2] model which is used for objective intelligibility estimation. This will be one component of the evaluation metric. Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"E. HASQI Speech Quality model​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#e-hasqi-speech-quality-model","content":" Python implementation of the Hearing Aid Speech Quality Index (HASQI) [3] model which is used for objective quality estimation. This will be one component of the evaluation metric. Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#references","content":" Byrne, Denis, and Harvey Dillon. "The National Acoustic Laboratories'(NAL) new procedure for selecting the gain and frequency response of a hearing aid." Ear and hearing 7.4 (1986): 257-265.Kates, J.M. and Arehart, K.H., 2021. "The hearing-aid speech perception index (haspi) version 2". Speech Communication, 131, pp.35-46.Kates, J.M. and Arehart, K.H., 2014. "The hearing-aid speech quality index (HASQI) version 2". Journal of the Audio Engineering Society. 62 (3): 99–117. "},{"title":"CPC1 Data","type":0,"sectionRef":"#","url":"docs/cpc1/data/cpc1_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#a-training-development-evaluation-data","content":" The dataset is split into these two subsets: training/development (train) and evaluation (eval). You are responsible for splitting the training/development dataset into data for training and development, e.g., using k-fold cross validation.The final evaluation and ranking will be performed with the (held-out) evaluation set.For more information on supplementing the training data, please see the rules, and also the FAQ. The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b-the-scene-dataset","content":" The complete dataset is composed of a large number of scenes associated with 6 talkers, 10 hearing aid systems and around 25 listeners. Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training/development and evaluation sets are disjoint for system and listener. Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used. RAVEN is the geometric room acoustic model used to create the BRIR. "},{"title":"B.1 Training/development data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b1-trainingdevelopment-data","content":" This contains all the information about how the signals processed by the hearing aids were created. For the prediction challenge, some of the data can be ignored (but is included because some may find it useful). Data and metadata most useful for the prediction challenge: The output of the hearing aid processor.The target convolved with the anechoic Binaural Room Impulse Response (BRIR) (channel 1) for each ear (‘target_anechoic’).The mono target and interferer signals (pre-convolution).Prompts of the utterances (what the actors were told to say)Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files. For evaluation not all of the data is available, see below. Other information also provided, click me to expand Data used to create inputs to hearing aids, etc: The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).Head Related Impulse Responses (HRIRs) including those corresponding to the target azimuth.For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate BRIR;The interferer convolved with the appropriate BRIR;The sum of the target and interferer convolved with the appropriate BRIRs. The BRIRs are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone; the premixed target signal convolved with the BRIR with the reflections “turned off”). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. The RAVEN project files - termed "rpf" - are specification files for the geometric room acoustic model that include a complete description of the room. "},{"title":"B.2 Evaluation scene data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b2-evaluation-scene-data","content":" For each scene in the evaluation data only the following will be available: The output of the hearing aid processor.The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata.The prompt for the utterances (the text the actors were given to read) "},{"title":"C Listener data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of our listening panel. The listening panel data will be split, so that the listeners in the held back evaluation data are different from those provided in the training and development data. The listening panel are experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English. For every listener, you will be given the left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound. For some listeners you will be provided with additional characterisation of their hearing. Consequently, if you wish to exploit this additional data, you will need to deal with the missing data. See the FAQ for more on missing data. Below is a description of each measure. SSQ12 - Speech, Spatial, & Qualities of Hearing questionnaire, 12-question version​ This is a popular self-assessment questionnaire of hearing disability. Each item asks about listening situations typical of real life and asks how well a listener would do in it. The SSQ assesses ability to make successful use of one’s hearing (i.e. hearing disability, or activity limitation). This is an intermediate link between the audiological measurement of someone's hearing loss (i.e. their impairment) and a patient's assessment of how that hearing loss impacts their wider life (i.e. their handicap, or participation restriction). The 12 questions are given in table 1 of this paper and FYI a recent paper that used it is here. Responses to each question are on a scale from 0 to 10, with 0 representing "not at all" (or "jumbled"/"concentrate hard" for #11 & #12), and 10 representing "perfect" (or "not jumbled"/"no need to concentrate"). We programmed this as a visual-analog slider, which the participant could set to any position from 0 to 10. The SSQ12 data supplied are the responses to each question, from 0-10 at 1 decimal place resolution, along with the mean of all 12 questions. GHAPB - Glasgow hearing-aid benefit profile questionnaire​ This is designed to assess the efficacy and effectiveness of someone's hearing aid(s) in different scenarios. It asks respondents to consider four scenarios involving speech and to rate on a five-point scale their perceived initial (i.e. unaided) hearing disability, initial handicap, aided benefit, aided handicap, hearing aid use, and hearing aid satisfaction. The listening panel are experienced hearing-aid users, so some of the rating would be about their normal hearing aid. This paper describes the GHABP and provides some normative data. For each scenario, the participant is asked a primary question about if a situation happens to them (relatable). If they answer No, it moves onto to the next scenario.Yes, then a list of six secondary questions are asked (see figure below) If one of the secondary questions is not relatable to the participant, they're asked to respond "N/A" for not applicable. Figure 2. The GHAPB questionnaire. There are four scenarios: listening to the television when the volume is adjusted for others.Having a conversation with one person in quiet.Having a conversation on a busy street or in a shop.Having a conversation with several people in a group. In the datafile, the question numbers are coded as x.y where x is the scenario number and y the secondary question number. If the answer to primary questions is No, then all the secondary questions are coded as 0. If the answer to primary questions is Yes, then each subsequent question is scored as 0. = N/A = first option in the list (eg "no difficulty")= second= third= fourth= fifth (e.g. "cannot manage at all") There is no global score for the GHABP. The six secondary questions ask about different things and so should not be averaged across questions, though it is fairly common to average within-question across scenario. DTT (digit-triplet test, also known as a triple digit test)​ This is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al's high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations in Filenames​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d1-abbreviations-in-filenames","content":" R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d2-general","content":" Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate.Where stereo signals are provided, the two channels represent the left and right signals of the ear or hearing aid microphones.HRIRs have a sampling rate of 48 kHz.Metadata will be stored in JSON format wherever possible.Room descriptions are stored as RAVEN project ‘rpf’ configuration files.Signals are saved within the Python code as 32-bit floating point by default. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was supposed to be spoken as presented to the readers.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Timing in audio files​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d4-timing-in-audio-files","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"D.5 Source audio files​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d5-source-audio-files","content":" Wav files containing the original source materials.Could be used as the clean speech reference in an intrusive (double-ended) prediction modelOriginal target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.6 Preprocessed scene signals​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d6-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone ready for processing.Target_anechoic could be used as the clean speech reference in an intrusive (double-ended) prediction model.Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav <Scene ID>_interferer_<Channel ID>.wav <Scene ID>_mixed_<Channel ID>.wav <Scene ID>_target_anechoic.wav Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone "},{"title":"D.7 Enhanced signals​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d7-enhanced-signals","content":" These are the audio signals that the listeners heard during the speech intelligibility testing. The signals that are output by a given enhancement (hearing aid) model or system. <Entrant ID>_<Scene ID>_<Listener ID>_HA-output.wav # HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L200 to L244. "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d8-scene-metadata","content":" A JSON file called scenes.CPC1_train.json containing a description of each scene that is used in the listening experiments. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight. scenes.json [ { "scene": "S00001", "room": { "name": "R00001", "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres }, "SNR": 3.8356, "hrirfilename": "VP_N5-ED", // HRIR filename "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "Positions": [ -0.5, 3.4, 1.2 ], "ViewVectors": [ 0.291, -0.957, 0 ], "name": "T022_HCS_00002", // target speaker code and BNCid "nsamples": 153468, // length of target speech in samples }, "listener": { "Positions": [ 0.2, 1.1, 1.2 ], "ViewVectors": [ -0.414, 0.91, 0 ] }, "interferer": { "Positions": [ 0.4, 3.2, 1.2 ], "name": "CIN_dishwasher_012", // interferer name "nsamples": 1190700, // interferer length in samples "duration": 27, // interferer duration in seconds "type": "noise", // interferer type: noise or speech "offset": 182115, // interferer segment starts at n samples from beginning of recording }, "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver "dataset": "train", // dataset: train, dev or eval/test "pre_samples": 88200, // number of samples of interferer before target onset "post_samples": 44100 // number of samples of interferer after target offset }, { // ... etc. } ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.Note that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same.A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files.The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file.Non-speech interferers are labelled CIN_<noise type>_XXX, while speech interferers are labelled <three letter code including dialect and talker gender>_XXXXX . "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d9-listener-metadata","content":" Listener audiogram data stored in a single JSON file called listeners.CPC1_train.json with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [10, 15, 25, 40, 50, 65, 65, 70 ], }, "L0002": { // ... etc. }, // ... etc. } A spreadsheet named listener_data.CPC1_train.xlsx containing the SSQ12, GHAPB, DTT data for each listener where it is available. "},{"title":"D.10 Listener intelligibility data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d10-listener-intelligibility-data","content":" JSON files CPC1.train.json (for Track 1) and CPC1.train_indep.json (for Track 2) which provides the responses made by the listeners when presented with a particular scene processed by a particular system. The data is a simple list of dictionaries with one entry for each listener response CPC1.tran.json [ { "scene":"S08510", // The identity of the scene "listener":"L0239", // The identity of the listener "system":"E001", // The identify of the HA system "prompt":"i suppose you wouldn't be free for dinner this evening", // The target sentence (prompt) "response":"freeze evening", // The listeners response (transcript) "n_words":10, // Number of words in the target sentence "hits":1, // Number of words recognised correctly "correctness":10.0, // The percentage of words recognised correctly "signal":"S08510_L0239_E001" // The name of the file containing the signal listened to. }, { // ... etc. }, // ... etc. ] "},{"title":"E. Reproduction Levels​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#e-reproduction-levels","content":" The graph gives the SPL from one of our headsets based on the volume level of the tablet. The input signal was ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3. Figure 3. Headset SPL by tablet volume level. "},{"title":"References​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#references","content":" [1] ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"Additional Tools","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_additional_tools","content":"","keywords":""},{"title":"Hearing loss model​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#hearing-loss-model","content":" This is an open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge [1, 2]. Inputs: A stereo wav audio signal, e.g., the output of the hearing aid model and audiograms for left and right ear.Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"Differentiable source separation and hearing aid amplification modules​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#differentiable-source-separation-and-hearing-aid-amplification-modules","content":" The modules are from the Sheffield E009 system in CEC1. The source separation module is a multi-channel Conv-TasNet optimised with a SNR objective. The hearing aid amplification module is an FIR filter optimised with an objective, which is the combination of a differentiable approximation to the hearing loss model and a STOI loss. Inputs: six channels of mixed signals, i.e., mixed_CH1.wav, mixed_CH2.wav, and mixed_CH3.wavOutputs: a single channel enhanced signal, therefore two source separation and amplification modules for left and right ears need to be optimised for the enhanced binaural signal. "},{"title":"Speech intelligibility model (MBSTOI)​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#speech-intelligibility-model-mbstoi","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI) [3]. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections 'turned off', specified as 'target_anechoic'), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#references","content":" Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"The ICASSP 2023 Clarity Challenge","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_intro","content":"","keywords":""},{"title":"Organisers​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#organisers","content":" Michael Akeroyd, Graham Naylor, University of NottinghamJon Barker, Will Bailey, Zehai Tu, University of SheffieldTrevor Cox, Simone Graetzer, University of SalfordJohn Culling, Cardiff University "},{"title":"Overview of challenge​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#overview-of-challenge","content":" Speech enhancement is a major research area with thousands of papers each year, yet only a tiny percentage of these explicitly consider improvements for listeners who have a hearing loss. Consequently, this signal processing challenge is designed to get the latest advancements in speech enhancement applied to hearing aids. Entrants are tasked to enhance speech-in-noise for input into a hearing aid amplification stage. The hearing aid will be tuned to the hearing characteristics of particular people. Thus you can enter without in-depth knowledge of hearing aids, and just concentrate on the task of de-noising. The scenario is listening to speech in the presence of typical domestic noise. We provide the signals captured by the microphones on a pair of behind-the-ear hearing aids and those captured at the eardrum. The target speech will be a short sentence. The interfering noises will be a mix of speech, domestic appliance noise and music. The audio includes the simulation of the acoustic of typical small living rooms. The challenge is to improve the speech intelligibility without excessive loss of quality. To this end, entries will be evaluated using an objective metric that is an average of the Hearing Aid Speech Perception Index (HASPI) and Hearing Aid Speech Quality Index (HASQI). "},{"title":"What is be provided​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#what-is-be-provided","content":" Premixed speech + interferer scenes for training and evaluation.Databases of target sentences, along with speech, noise and music interferers.Listener characteristics, including audiograms and speech-in-noise testing.Software including tools for augmenting training data, a baseline enhancement system, a fixed hearing aid implementation and code for scoring signals using the HASPI and HASQI hearing aid metrics. The scenario is similar to the second Clarity Enhancement Challenge but with the following key differences: Participants are asked to focus on speech enhancement only. Hearing aid processing/simulation is not part of the challengeSpeech quality (HASQI) will be assessed in conjunction with speech intelligibility (HASPI) This site provides access to all the software, data and information that you need to get started. "},{"title":"Find collaborators","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_find_a_team","content":"Find collaborators If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators. We encourage everyone to join the Clarity Challenge’s Google group to stay updated with project news and announcements. We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group). You are welcome to contact us if you have any questions about forming a team or participating in the challenge: Email the Clarity Team","keywords":""},{"title":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"ICASSP 2023 Clarity Grand Challenge Registration","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_registration","content":"ICASSP 2023 Clarity Grand Challenge Registration Teams are required to register using the form below. Please register as soon as possible. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials. Loading…","keywords":""},{"title":"Data Specification","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_data","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#overview","content":" The training data essentially consists of signals and corresponding listener responses that you can use to train a prediction model. To maximise the value of the data we have imposed a cross-validation evaluation design: The training data has been split into three partitions, train.1, train.2 and train.3 which are paired with three disjoint evaluation partitions eval.1, eval.2 and eval.3 which will be released. You are asked to train three versions of your final system, i.e., one for each training data subset. This will ensure that we can evaluate your system on unseen listeners and hearing aid systems. Note, some signals and responses come from CEC1 and some from CEC2. CEC1 used simple scenes with a single interferer; CEC2 had multiple interferers. The evaluation data will only use CEC2 scenes. "},{"title":"The hearing aid output signals​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-hearing-aid-output-signals","content":" The hearing aid output signals are stored under clarity_data/HA_output and separated into three separate directories, train.1, train.2 and train.3. Each of these directories contains two subdirectories, CEC1 and CEC2, which contain the hearing aid output signals from the CEC1 and CEC2 datasets respectively. The signals are stored in 16-bit stereo WAV format, with a sampling rate of 32 kHz. The signals are named according to the following convention: <SCENE_ID>_<LISTENER_ID>_<SYSTEM_ID>.wav # e.g., S09463_L0242_E009.wav Where <SCENE_ID> is the scene identifier, <LISTENER_ID> is the listener identifier and <SYSTEM_ID> is the hearing aid system identifier. "},{"title":"The scene reference signals​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-scene-reference-signals","content":" The target reference signals and hearing aid input signals are stored under clarity_data/scenes and separated into two separate directories, CEC1 and CEC2, which contain the target reference signals from the CEC1 and CEC2 datasets respectively. (Note, data for the three training set partitions is stored in the same directory.) There are a set of stereo audio files for each scene, as follows: <SCENE_ID>_target_ref.wav # The target reference signal for the intrusiveness intelligibility prediction task <SCENE_ID>_target_anechoic.wav # The anechoic speech target signal <SCENE_ID>_target_<CHANNEL>.wav # The target speech signal for the scene <SCENE_ID>_interferer_<CHANNEL>.wav # The interfering noise for the scene <SCENE_ID>_mixed_<CHANNEL>.wav # The mixed target and interfering noise. where <SCENE_ID> is the scene identifier and <CHANNEL> can be either CH0, CH1, CH2 or CH3. The channels CH1, CH2 and CH3 are the front, middle and rear hearing aid microphones respectively (each is stereo pair). CH0 is the eardrum signal, i.e., as would be received by the listener's ear canal. Of these signals, the following is the most important: <SCENE_ID>_target_ref.wavThis is the signal that should be used as the reference for your intrusive intelligibility prediction model. Note, this is the only signal that will be available in the evaluation data. It is a non-reverberant version of the target signal aligned with the target component of the mixed signal received by the hearing aid. It has been scaled to have the same energy as the target component of the mixed signal received by the hearing aid. The remaining hearing aid input signals are provided for completeness <SCENE_ID>_mixed_<CHANNEL>.wav The noisy speech signals that were received by the hearing aid, i.e. the signals that were processed to produce the HA output signals.<SCENE_ID>_target_<CHANNEL>.wav The target speech component of the mixed signals that were received by the hearing aid.<SCENE_ID>_interferer_<CHANNEL>.wav The interfering noise component of the mixed signals that were received by the hearing aid.<SCENE_ID>_target_anechoic.wav The anechoic target speech signal (i.e., same as the target reference signal but without the correct scaling). It is not anticipated that you will necessarily need these signals for training prediction models but they have been included to help participants gain a better understanding of the data. "},{"title":"The metadata​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-metadata","content":" The metadata directory (clarity_data/metadata) stores the listener responses to the signals, the listener characteristics and metadata related to each of the scenes (e.g., interferer types, input SNR, etc.). You will find the following JSON format files, CEC1.train.1.json, CEC2.train.1.json CEC1.train.2.json, CEC2.train.2.json CEC1.train.3.json, CEC2.train.3.json listeners.json scenes.CEC1.json, scenes.CEC2.json The contents of these files are as follows. "},{"title":"The listener responses (CECx.train.x.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-listener-responses-cecxtrainxjson","content":" The CEC1.train.x.json and CEC2.train.x.json files contains a list of dictionaries, each describing a listener response to a signal. The fields are as follows: CEC<x>.train.<y>.json [ { "prompt": "i don't want us to apportion blame she said", "scene": "S08547", "n_words": 9, "hits": 4, "listener": "L0239", "system": "E001", "correctness": 44.4444444444, "response": "i don't want to have to report he said", "volume": 56, "signal": "S08547_L0239_E001" }, // ... etc ] In the above, signal identifies the hearing aid output signal that you will find in the the HA_outputs\\train.1\\CEC1 or HA_outputs\\train.1\\CEC2 directorieslistener is the ID of the listener who provided the response. Using this you can look up the listener's audiogram in the listeners.json file.correctness is the percentage of words that the listener correctly identified. This is the number that you are being asked to predict.volume is the value of the volume control on the hearing aid that the listener used to listen to the signal. This is on a scale of 0 to 100 and was set by default to 50 but listeners were free to adjust it at the start of each session to achieve a comfortable listening level. "},{"title":"The listener characteristics (listeners.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-listener-characteristics-listenersjson","content":" The listeners.json provides the pure tone audiogram of the left and right ear of each listener. This is stored as a dictionary with the listener ID as the key to facilitate easy look-up. For each listener the audiogram is stored as a list of frequencies and the corresponding list of levels for the left and right ear. The frequencies are in Hz and the levels are in dB HL. listeners.json { "L0200": { "name": "L0200", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [35, 30, 25, 50, 55, 65, 70, 65], "audiogram_levels_r": [45, 40, 35, 60, 65, 75, 80, 75], }, // ... etc } Note, listener audiograms will also be provided in the evaluation data, however, the listeners in the evaluation sets will not overlap with listeners in the corresponding training sets, i.e., your predictions systems are expected to be able generalise to new listeners. "},{"title":"The scene metadata (scenes.CECx.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-scene-metadata-scenescecxjson","content":" The scene metadata contains information about the scene, the target and interfering noise signals, and the SNR of the mixed signal, etc. The data will not be available for the evaluation signals and is being provided here for context and to help participants gain an understanding of the signals. For a complete description of the scene metadata please see the documentation for the CEC1 and CEC2 challenges. The scenes.CEC1.json has the format described here, and the scenes.CEC2.json has the format described here. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cpc1/data/cpc1_scenario","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#overview","content":" This page details the scenario that we have simulated to create the speech-in-noise samples, which were processed by the (simulated) hearing aids. The processed signals were played to listeners in listening tests to obtain the measured speech intelligibility scores. It is perfectly possible to compete in the prediction challenge without knowing the information provided on this page, it provides context. You could just work with the processed signals from the hearing aids and the listening test scores. However, some will find this information useful, for example, because it might inform the sourcing or creation of additional data, for example to be used for unsupervised pre-training. "},{"title":"Simulating the audio signals that were processed by the hearing aids​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#simulating-the-audio-signals-that-were-processed-by-the-hearing-aids","content":" A listener (or receiver) is in a small room that has low to moderate reverberation. They are listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity sentences. Simultaneously, an interferer sound is playing. This is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). An example of the scenario is shown in Figure 1. The room geometry showing origin location is defined in Figure 2. Example SceneRoom Geometry Figure 1. Example scene. Figure 3, below, shows the basic scene generator. The sound at the receiver is generated first by convolving the source signals with Binaural Room Impulse Responses (BRIRs). This generates reverberated speech and noise that includes the effects of the room and reflections from the listener's head. The reverberated speech and noise signals are then summed after appropriate gains are applied. The gains are set to achieve a Signal-to-Noise Ratio (SNR), which is chosen randomly between limits. The BRIRs are generated using the RAVEN Geometric Room Acoustic Model [1]. There are additional signal paths and outputs generated that have been omitted from Figure 3 for clarity. In addition to the reverberated signals associated with the hearing aid microphones, the signal close to the eardrum is also generated. You can also access the reverberated speech and noise signals before they are mixed. Figure 3. Simplified diagram of the scene generator. RIR refers to Room Impulse Response, HRTFs refers to Head Related Transfer Functions, SNRs are signal-to-noise ratios, and gain calc. indicates gain calculation. Dry here means anechoic. The outputs are noisy speech signals. "},{"title":"Room Geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#room-geometry","content":" Cuboid rooms with dimensions length, LLL, by width, WWW, by height, HHH.Length LLL set using a uniform probability distribution random number generator with 3≤L(m)≤83 \\le L (m) \\le 83≤L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7m2.7 m2.7m and standard deviation of 0.8m0.8 m0.8m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7m217.7 m^217.7m2 and standard deviation of 5.5m25.5 m^25.5m2. "},{"title":"Room Materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least at 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The receiver​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-receiver","content":" The receiver has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). The reciver can have one of two heights (seated or standing height). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2m1.2 m1.2m (sitting) or 1.6m1.6 m1.6m (standing). The receiver is positioned so as to be roughly facing the target talker. That is to say, within ±30\\pm 30±30 degrees of target. The angle = 7.5n7.5n7.5n where nnn is an integer and ∣n∣≤4|n| \\le 4∣n∣≤4. "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. "},{"title":"The interferer​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-interferer","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) The interferer is a single point source radiating speech or non-speech noise omnidirectionally. It is placed within the room using uniform probability distribution random number generators for the coordinates. These constraints ensure the interferer is not too close to the wall or receiver. It is set to be at the same height as the receiver. Note, this means that the interferer can be at any angle relative to the receiver. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ "},{"title":"Timing​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#timing","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"Signal-to-Noise Ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#signal-to-noise-ratio-snr","content":" The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. Note that the interferer can be at any azimuth from the point of view of the listener/receiver. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen using a uniform probability distribution random number generator between the limits of ranges specified for the speech and non-speech interferers. The calculation is based on the ear that has the better signal to noise ratio, as this mimics the better ear effect in binaural listening, where listeners focus on the ear that has the best SNR. The better ear SNR (BE_SNR) is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the interferer that overlaps with the target (without padding) , i‘, and the target (without padding), t‘, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i‘ and t’ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The whole interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050];Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001]; Figure 4, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"ICASSP 2023 Grand Challenge Rules","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions. "},{"title":"Transparency​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Teams may reserve the right to be referred to using anonymous code names in the published rank ordering. "},{"title":"What information can I use?​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#training-and-development","content":" For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files. Any audio or metadata can be used during training and development, but during evaluation, the enhancement algorithm will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferers for each hearing aid microphone).The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results).The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.) "},{"title":"Computational restrictions​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#computational-restrictions","content":" Teams may choose to use all, some or none of the parts of the baseline model.Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#submitting-multiple-entries","content":" It is intended that there should be one submission per registered team. Submitting multiple entries is discouraged. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#evaluation-of-systems","content":" Each signal will be scored using the average of its HASPI and HASQI scores. A system score will then be computed by averaging over the evaluation set. Separate scores will be computed for the real and simulated evaluation sets, along with a summary score formed by their average. Systems will be ranked according to their summary scores with all three (real, simulated and summary) scores being reported. "},{"title":"Intellectual property​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive licence to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"ICASSP 2023 Data","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_data","content":"","keywords":""},{"title":"A. Training, development and evaluation data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#a-training-development-and-evaluation-data","content":" The dataset of 10,000 simulated scenes is split into three sets: 6000 training scenes (available now)2500 development scenes (available now)1500 evaluation scenes (released 1st Feb. 2023) In addition there will be: A secondary 'real data' evaluation set that will be based on real ecologically-valid recordings and so can highlight the generalizability of the entrants’ approaches beyond the simulations (released 1st February 2023). More information. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b-the-scene-dataset","content":" For the dataset of 10,000 simulated scenes Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers.The training, development and evaluation sets are disjoint with respect to the target speakers.Sets are balanced for the gender of the target talker.Entrants must not use the development or evaluation data sets for training.The system submitted should be chosen on the evidence provided by the development set. For evaluation The final ranking will be performed with the (held-out) evaluation sets.Neither evaluation datasets (simulation nor real) have been used in previous Clarity challenges. The secondary 'real data' evaluation set will be made using real acoustic mixtures but using loudspeaker playback of target talkers so that the reference speech can be extracted as needed by the objective metrics. For the training and development set, entrants have access to a diverse range of signals and metadata, with the most important being: The hearing aid microphone signalsThe hearing characteristics of the listener (e.g. audiogram)The anechoic target reference and interferer signals. For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files. For evaluation, the data available is more limited, i.e., The hearing aid microphone signalsThe hearing characteristics of the listener (e.g. audiogram)The anechoic target reference signal which will be used by the organisers but not released to entrants. High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on scene generation for more details. Time-domain acoustic signals are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files and ac files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials. "},{"title":"B.1 Training data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears).The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate HOA-IRs and downmixed;The interferers convolved with the appropriate HOA-IRs and downmixed;The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid) The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (‘target_anechoic’). For use as a reference when computing HASPI scores.Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.A signal describing the head rotation (i.e. azimuthal angle at each sample) "},{"title":"B.2 Development data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b2-development-data","content":" This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set) Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended. Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section B.3). When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below). "},{"title":"B.3 Simulated Evaluation data (eval1)​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b3-simulated-evaluation-data--eval1","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)Speaker adaptation sentence - 4 clean utterances for each target speaker. One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities: The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture.The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics. These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking. "},{"title":"B.4 Real Evaluation data (eval2)​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b4-real-evaluation-data-eval2","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.Speaker adaptation sentence - 4 clean utterances for each target speaker.Further details to be confirmed. "},{"title":"C Listener data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them. The same types of data are available for training, development and evaluation. A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English. The quantification of the listeners’ hearing is done with: Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound.Results from the DTT (digit-triplet test, also known as a triple digit test)​ The audiogram is the standard clinical measurement of hearing ability. It’s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., British Society of Audiology Recommended Procedure. Typically it’s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. CAMFIT, NAL-NL2 or DSL . Note that the scale of an audiogram is in “dB HL” = “dB Hearing Level”. This is not dB SPL; instead, it’s relative to an international standard such that 0-dB is “normal hearing” at every frequency. For background see Why the Audiogram Is Upside-down | The Hearing Review and The Quest for Audiometric Zero | The Hearing Review The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al.'s high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations used in filenames​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d1-abbreviations-used-in-filenames","content":" The following abbreviations are used consistently throughout the filenames and references in the metadata. R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d2-general","content":" Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones.0 dB FS in the audio signals corresponds to 100 dB SPL.Metadata will be stored in JSON or csv format as appropriate with the exception of Room descriptions are stored as RAVEN project ‘rpf’ configuration files and ‘ac’ files. (However, key details are reflected in the scene.json files) Signals are saved within the Python code as 32-bit floating point by default.Output signals for the listening tests will be required to be in 16-bit format. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was given to the talkers to say.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d4-source-audio-files","content":" Wav files containing the original source materials. Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav<Scene ID>_interferer_<Channel ID>.wav<Scene ID>_mixed_<Channel ID>.wav<Scene ID>_target_anechoic.wav - at hearing device front microphone<Scene ID>_hr.wav - head rotation signal Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone The anechoic signal is the signal that will be used as the referernce in the HASPI evaluation. The head rotation signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured. "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d6-enhanced-signals","content":" The signals that are output by the baseline enhancement algorithm. <Scene ID>_<Listener ID>_enhanced.wav # Enhancement output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. "},{"title":"D.7 Hearing-aid output signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d7-hearing-aid-output-signals","content":" <Scene ID>_<Listener ID>_HA-output.wav # i.e., the enhanced signals after processing with the supplied hearing aid amplification. Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. "},{"title":"D.8 Room metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d8-room-metadata","content":" JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene. rooms.json [ { "name": "R00001", // ID of room linking to RAVEN rpf and ac files "dimensions": "6.9933x3x3", // Room dimensions in metres "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "position": [-0.3, 2.4, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "listener": { "position": [-0.1, 5.2, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "interferers": [ { "position": [0.4, 4.0, 1.2], }, { // etc, up to three interferers } ], }, ... ] "},{"title":"D.9 Scene metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d9-scene-metadata","content":" JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section D.7) plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings. scenes.json [ { "scene": "S00001", // the unique scene ID "room":: "R00001", // ID of room linking to rooms.json "target": { "name": "T005_JYD_04274", // target speaker code and BNCid "time_start": 107210, // start time of target in samples "time_end": 217019 // end time of target in samples }, "listener": { "rotation": [ // Defines the head motion - list of time, direction pairs { "sample": 88200, "angle": 30 // Azimuth angle in degrees }, { "sample": 176400, "angle”: 50 } ], "hrir_filename": ["VP_N4-ED", "VP_N4-BTE_fr", "VP_N4-BTE_mid", "VP_N4-BTE_rear"] // HRIR filename for each channel to generate }, "interferers": [ { "position": 1, // Index of interferer position (See rooms.json) "time_start": 0, // time of interferer onset in samples "time_end": 261119, // time of interferer offset in samples "name": "track_1353255", // interferer name "type": "music", // interferer type: speech, noise or music "offset": 4076256 // index into interferer file at which to extract sample }, { // etc, up to three interferers } ], "dataset": "train", // the dataset to which the scene belongs: train, dev or eval "duration": 261119, // total duration of scene in samples "SNR": 6.89 // targe SNR for the scene }, ... ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room. The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section D.9). Noise interferers are labelled with a type “music”, “noise” or “speech” and then have a unique name identifying the file. For speech: <ACCENT_CODE>_<SPEAKER_ID> where ACCENT_CODE is a three letter code identify the accent region and gender of the speaker and SPEAKER_ID is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK midlands accented female, speaker 02484. The speech comes from Demirshan et al. [1] which provides more details.For noise: CIN_<NOISE_TYPE>_<NOISE_ID> where NOISE_TYPE is one of dishwasher, fan, hairdryer, kettle, microwave, vacuum (vacuum cleaner) or washing (washing machine) and NOISE_ID is a unique 3-digit code for the sample.For music: track_<TRACK_ID> where TRACK_ID is unique 7-digit track identifier taken from the MTG Jamendo database. [2] Given the type and name, further interferer metadata can be found in the files masker_speech_list.json, masker_noise_list.json and masker_music_list.json which are distributed with the challenge. "},{"title":"D.10 Listener metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d10-listener-metadata","content":" Audiogram data is stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ … ], }, "L0002": { // ... etc }, // ... etc } Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS "},{"title":"D.11 Scene-Listener map​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d11-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003", "L0005", "L0007"], // ... etc } "},{"title":"References​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#references","content":" Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, Avialable OnlineBogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", Available Online "},{"title":"Learning","type":0,"sectionRef":"#","url":"docs/learning/learning_intro","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Details Click arrow to see synposis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_baseline","content":"","keywords":""},{"title":"Baseline performance​","type":1,"pageTitle":"Baseline System","url":"docs/icassp2023/software/icassp2023_baseline#baseline-performance","content":" Baseline performance using amplification with no enhancement will appear shortly. "},{"title":"References​","type":1,"pageTitle":"Baseline System","url":"docs/icassp2023/software/icassp2023_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (HASPI) version 2. Speech Communication, 131, pp.35-46.Kates, J.M. and Arehart, K.H., 2014. "The hearing-aid speech quality index (HASQI) version 2". Journal of the Audio Engineering Society. 62 (3): 99–117. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/icassp2023/data/cec2_scenario","content":"","keywords":""},{"title":"The scenario​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-scenario","content":" We want entrants to improve speech in the presence of background noise; see Figure 1. On the left there is a person with a quantified hearing loss who is listening to speech from the target talker on the right. Both people are in a living room. There is interfering noise from a number of sources (a TV and washing machine in this case). The speech and noise are sensed by microphones on the hearing aids of the listener. The task is to take these microphone feeds and the listener’s hearing characteristics, and produce signals for the hearing aid processor that will make the speech more intelligible. We will evaluate the success of the processing using a combination of objective metrics for speech intelligibility and quality. Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound. "},{"title":"Baseline system and software tools​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#baseline-system-and-software-tools","content":" Challenge entrants are supplied with an end-to-end baseline system. Figure 2 shows a simplified schematic, which comprises: Figure 2. Baseline schematic. A scene generator (blue box) creates speech in noise (SPIN).A listener is chosen (green ellipse), so the processing can be individualised for each listener with quantified hearing characteristics.The speech is enhanced (pink box). The entrants are tasked to improve this.The hearing aid we provide then amplifies the improved speech (yellow box)The amplified and improved speech that is emitted by your hearing aid is then passed to the prediction stage (red boxes). A combination of HASPI and HASQI is the output of the objective metrics for intelligibility and quality respectively (Kates and Arehart, 2021, Kates and Arehart 2014).All software tools will be available as a single GitHub repository. The software is split into core components e.g. HASPI, HASQI, and additional tools e.g. a hearing loss model. All software is open-source and in Python. "},{"title":"Room geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#room-geometry","content":" Cuboid rooms with dimensions length LLL by width WWW by height HHH.Length LLL set using a uniform probability distribution random number generator with 3<L(m)≤83 < L(m) \\le 83<L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7 m and standard deviation of 0.8 m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7 m2^22 and standard deviation of 5.5 m2^22 "},{"title":"Room materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The listener (receiver)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-listener-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2 m (sitting) or 1.6 m (standing). "},{"title":"Head rotation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#head-rotation","content":" The listener is initially oriented away from the target and will turn to be roughly facing the target talker around the time when the target speech starts Orientation of listener at start of the sample ~25° from facing the target (standard deviation = 5°), limited to +-2 standard deviations.Start of rotation is between -0.635 s to 0.865s (rectangular probability)The rotation lasts for 200 ms (standard deviation =10 ms)Orientation after rotation is 0-10° (random with rectangular probability distribution). "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. The target speech starts between 1.0 and 1.5 seconds into the mixed sound files (rectangular probability distribution). "},{"title":"The interferers​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-interferers","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) Each interferer is modelled as an omnidirectional point source. They will be radiating: speech, noise or music. They are placed within the room using uniform probability distribution random number generators for the coordinates. The following constraints ensure the interferer is not too close to the wall or listener. However, interferers are independently positioned with no constraint on their position relative to each other. They are set to be at the same height as the listener. Note, this means that the interferers can be at any angle relative to the listener. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ The interferers are present over the whole mixed sound file. "},{"title":"Signal-to-noise ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#signal-to-noise-ratio-snr","content":" The SNR of the mixtures are engineered to achieve a suitable range of speech intelligibility values. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the summed interferers that overlaps with the target (without padding), i′i'i′, and the target (without padding), t′t't′, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i′i'i′ and t′t't′ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The summed interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The frequency response is shown in Figure 2. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050]Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001] Figure 2, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"ICASSP 2023 Submission","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_submission","content":"","keywords":""},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#what-evaluation-data-is-provided","content":" There will be two sets of evaluation data: i) the simulate set consisting of 1500 scenes generated in the same way as the training and development data (eval1), ii) the real data consisting of real acoustic mixtures (eval2). For details see the data description page. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of the audiograms for a set of listeners anda mapping of which listeners will listen to which scenes. There will also be some clean example utterances from the target talker, that are not the same as the target utterance, but which can be used to identify the target talker, i.e., to disambiguate scenes in which other speakers are present. For HASPI/HASQI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#what-audio-do-i-need-to-submit","content":" You must submit the stereo audio signals produced at the output of your enhancement stage, which the organisers will process by the hearing aid amplification stage and the HASPI/HASQI evaluation metric. Signals should be submitted as stereo, floating point wav format signals, at the same sampling rate as the signals provided "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_enhanced.wav and explained on the data page. Place the processed signals for the two sets into separate directories named eval1 and eval2. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., ICASSP2023_E001 and then packaged using zip or tar or any standard packaging tool, e.g., to make a packaged file called <TEAM_ID>.zip The packaged file will have the following structure, ICASSP2023_E001 ├── eval1 (1500 processed signals) └── eval2 (1500 processed signals) The resulting file should be about 4 GB. Upload the packaged data to the Google Drive link that you will have been sent. "},{"title":"Using head rotation data and/or extended training data​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#using-head-rotation-data-andor-extended-training-data","content":" We would like to be able to separately evaluate the benefit of using the head rotation and extra training data, so in accordance with the challenge rules, If you have trained on data which was not included in the core database, then please also provide outputs of a system trained only with the standard data. If you have made use of the head rotation data you should also provide outputs of an equivalent system that does not use the head rotation data. If you have used extra training data and/or the head rotation data, then please package the outputs separately using the following naming convention, ‹TEAM_ID›.zip - standard training data and no head rotation (all teams) ‹TEAM_ID›_hr.zip - standard data and using head rotation ‹TEAM_ID›_data.zip - extended training data without using head rotation ‹TEAM_ID›_hr_data.zip - extended training data and using head rotation "},{"title":"Technical report​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#technical-report","content":" For every entry, a technical report needs to be uploaded to the Google Drive along with your evaluation signals - see here for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules.Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used.The report can be placed in the Google Drive alongside your data.The top five systems will be invited to submit a paper to the ICASSP 2023 special session. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. We also encourage you to submit your enhancement code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "}] \ No newline at end of file diff --git a/search-doc-1707505056134.json b/search-doc-1707505056134.json new file mode 100644 index 000000000..2815fc31a --- /dev/null +++ b/search-doc-1707505056134.json @@ -0,0 +1 @@ +[{"title":"CEC1 eval data released","type":0,"sectionRef":"#","url":"blog/CEC1 eval data released","content":"The evaluation dataset is now available to download from the myairbridge download site. The evaluation data filename is clarity_CEC1_data.scenes_eval.v1_1.tgz. Full details of how to prepare your submission are now available on this site. Please read them carefully. Registration: Teams must register via the Google form on the How To Submit page of this site. (Please complete this even if you have already completed a pre-registration form). Only one person from each team should register. Only those who have registered will be eligible to proceed to the evaluation. Once you have registered you will receive a confirmation email, a team ID and a link to a Google Drive to which you can upload your signals. Submission deadline: The deadline for submission is the 15th June. The submission consists of two components: i) a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used. This should be prepared as a Clarity-2021 workshop abstract and submitted to the workshop. ii) the set of processed signals that we will evaluate using the MBSTOI metric. Details of how to name and package your signals for upload can be found on the How To Submit page. Listening Tests: Teams that do well in the MBSTOI evaluation will be notified on 22nd June and invited to submit further signals for the second stage Listening Test evaluation. For any questions please contact us at claritychallengecontact@gmail.com or by posting to the Clarity challenge google group.","keywords":""},{"title":"CEC1 submissions received","type":0,"sectionRef":"#","url":"blog/CEC1 submissions received","content":"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals. Please remember to submit your finalised system descriptions by June 22nd to the Clarity workshop following the instructions provided on the workshop website. We are currently busy evaluating the submissions using the MBSTOI metric. We will be contacting teams on the 22nd with details of how to prepare signals for the listening panel evaluation. If you have been working on the challenge but missed the submission deadline then please do get in contact. We will still be happy to receive your signals and system descriptions. Although late entries will not be eligible for the official challenge ranking, we will be happy to compute the eval set MBSTOI score for you and may even be able to arrange listening test evaluation through our panel. For any questions please contact us at claritychallengecontact@gmail.com or by posting to the Clarity challenge google group.","keywords":""},{"title":"Announcement of ICASSP 2023 Grand Challenge","type":0,"sectionRef":"#","url":"blog/Announcement of ICASSP 2023 Grand Challenge","content":"We are pleased to announce that registration for the ICASSP 2023 Clarity Grand Challenge is now open. To register please complete the simple Google form found on the registration page. The remaining important dates for the challenge are as follows: 28th Nov 2022: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session The challenge training, dev data and initial tools are now fully from the Github repository. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"Baseline speech intelligibility model in round one","type":0,"sectionRef":"#","url":"blog/baseline","content":"","keywords":""},{"title":"Some comments on signal alignment and level-insensitivity​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#some-comments-on-signal-alignment-and-level-insensitivity","content":" Our baseline binaural speech intelligibility measure in round one is the Modified Binaural Short-Time Objective Intelligibility measure, or MBSTOI. This short post outlines the importance of correcting for delays that your hearing aid processing algorithm introduces into the audio signals to allow MBSTOI to estimate the speech intelligibility accurately. It also discusses the importance of considering the audibility of signals before evaluation with MBSTOI. "},{"title":"Evaluation​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#evaluation","content":" In stage one, entries will be ranked according to the average MBSTOI score across all samples in the evaluation test set. In the second stage, entries will be evaluated by the listening panel. There will be prizes for both stages. See this page for more information. "},{"title":"Signal alignment in time and frequency​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#signal-alignment-in-time-and-frequency","content":" If the signal processed by the hearing aid introduces a significant delay, you should correct for this delay before submitting your entry. This is necessary because MBSTOI requires alignment of the clean speech “reference” with the processed signal in time and frequency. This needs to be done for both ear signals. MBSTOI downsamples signals to 10 kHz, uses a Discrete Fourier Transform to decompose the signal into one-third octave bands, and performs envelope extraction and short-time segmentation into 386 ms regions. Each region consists of 30 frames. These approaches are motivated by what is know about which frequencies and modulation frequencies are most important for intelligibility. For each frequency band and frame (over the region of which it is the last frame), an intermediate correlation coefficient is calculated between the clean reference and processed power envelopes for each ear. These are averaged to obtain the MBSTOI index. Thus is usually between 0 and 1, and rises monotonically with measured intelligibility scores, such that higher values indicate greater speech intelligibility. Alignment is therefore required at the level of the one-third octave bands and short-time regions. Our baseline corrects for broadband delay per ear due to the hearing loss model. (The delay is measured by running a kronnecker delta function through the model for each ear.) However, the baseline software will not correct for delays created by your hearing aid processing. Consequently, when submitting your hearing aid output signals, you are responsible for correcting for any delays introduced by your hearing aid. Note that this must be done blindly; the clean reference signals will not be supplied for the test/evaluation set. "},{"title":"Level insensitivity​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#level-insensitivity","content":" MBSTOI is level-independent, i.e., MBSTOI is broadly insensitive to the level of the processed signal because it is calculated using a cross-correlation method. This could be a problem because sounds that are below the auditory thresholds of the hearing impaired listener may appear to MBSTOI to be highly intelligible. To overcome this, the baseline experimental code mbstoi_beta, in conjunction with the baseline hearing loss model, can be used to approximate hearing-impaired auditory thresholds. Specifically, mbstoi_beta adds internal noise that can be used to approximate normal hearing auditory thresholds. This noise, in combination with the attenuation of signals by the hearing loss model to simulate raised auditory thresholds, makes MBSTOI level-sensitive. The noise is created by filtering white noise using pure tone threshold filter coefficients with one-third octave weighting, approximating the shape of a typical auditory filter (from Moore 2012, based on Patterson’s method, 1976). This noise is added to the processed signal. Note, the standard MBSTOI in the equalisation-cancellation stage adds internal noise to parameters, but this is an independent process. "},{"title":"MBSTOI​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#mbstoi","content":" The method was developed by Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen (Andersen et al., 2018). It builds on the Short-Time Objective Intelligibility (STOI) metric created by Cees H. Taal, Richard C. Hendriks, Richard Heusdens, and Jesper Jensen (Taal et al., 2011). MBSTOI includes a better ear stage and an equalisation-cancellation stage. For simplicity, the latter stage is not discussed here; see Andersen et al. (2018) for details. "},{"title":"References​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#references","content":" Andersen, A. H., de Haan, J. M., Tan, Z. H., & Jensen, J. (2018). Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, 1-13.Moore, B. C. (2012). An introduction to the psychology of hearing. Brill.Patterson, R. D. (1976). Auditory filter shapes derived with noise stimuli. The Journal of the Acoustical Society of America, 59(3), 640-654.Taal, C. H., Hendriks, R. C., Heusdens, R., & Jensen, J. (2011). An algorithm for intelligibility prediction of time–frequency weighted noisy speech. IEEE Transactions on Audio, Speech, and Language Processing, 19(7), 2125-2136. "},{"title":"CEC2 registration open","type":0,"sectionRef":"#","url":"blog/CEC2 registration open","content":"We are pleased to announce that registration for the 2nd Clarity Enhancement Challenge (CEC2) is now open. To register please complete the simple Google form found on the registration page. The remaining important dates for the challenge are as follows: 25th July 2022: Evaluation data released1st Sept 2022: 1st round submission deadline for evaluation by objective measure15th Sept 2022: 2nd round submission deadline for listening testsSept-Nov 2022: Listening test evaluation period.2nd Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. The challenge training, dev data and initial tools are now fully from the Github repository. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"Clarity Challenge pre-announcement","type":0,"sectionRef":"#","url":"blog/Clarity Challenge pre-announcement","content":"","keywords":""},{"title":"The Task​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#the-task","content":" You will be provided with simulated scenes, each including a target speaker and interfering noise. For each scene, there will be signals that simulate those captured by a behind-the-ear hearing aid with three channels at each ear and those captured at the eardrum without a hearing aid present. The target speech will be a short sentence and the interfering noise will be either speech or domestic appliance noise. The task will be to deliver a hearing aid signal processing algorithm that can improve the intelligibility of the target speaker for a specified hearing-impaired listener. Initially, entries will be evaluated using an objective speech intelligibility measure we will provide. Subsequently, up to twenty of the most promising systems will be evaluated by a panel of listeners. We will provide a baseline system so that teams can choose to focus on individual components or to develop their own complete pipelines. "},{"title":"What will be provided​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#what-will-be-provided","content":" Evaluation of the best entries by a panel of hearing-impaired listeners.Speech + interferer scenes for training and evaluation.An entirely new database of 10,000 spoken sentencesListener characterisations including audiograms and speech-in-noise testing.Software including tools for generating training data, a baseline hearing aid algorithm, a baseline model of hearing impairment, and a binaural objective intelligibility measure. "},{"title":"Important Dates​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#important-dates","content":" January 2021 – Challenge launch and release of software and dataApril 2021 – Evaluation data releasedMay 2021 – Submission deadlineJune-August 2021 – Listening test evaluation periodSeptember 2021 – Results announced at a Clarity Challenge Workshop in conjunction with Interspeech 2021 Challenge and workshop participants will be invited to contribute to a journal Special Issue on the topic of Machine Learning for Hearing Aid Processing that will be announced next year. "},{"title":"Further information​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#further-information","content":" If you are interested in participating and wish to receive further information, please sign up. If you have questions, contact us directly at contact@claritychallenge.org "},{"title":"Organisers​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#organisers","content":" Prof. Jon P. Barker, Department of Computer Science, University of SheffieldProf. Michael A. Akeroyd, Hearing Sciences, School of Medicine, University of NottinghamProf. Trevor J. Cox, Acoustics Research Centre, University of SalfordProf. John F. Culling, School of Psychology, Cardiff UniversityProf. Graham Naylor, Hearing Sciences, School of Medicine, University of NottinghamDr Simone Graetzer, Acoustics Research Centre, University of SalfordDr Rhoddy Viveros Muñoz, School of Psychology, Cardiff UniversityEszter Porter, Hearing Sciences, School of Medicine, University of Nottingham Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK. Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research, Honda Research Institute Europe. "},{"title":"Acknowledgement​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#acknowledgement","content":" The image copyright is owned by the University of Nottingham. "},{"title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","type":0,"sectionRef":"#","url":"blog/Announcing CPC2","content":"","keywords":""},{"title":"Register now to take part​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#register-now-to-take-part","content":" If you are interested in participating please register now via the online registration form. "},{"title":"Important Dates​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#important-dates","content":" March - Launch of challenge, release of training data + baseline system.1st July - Release of evaluation data and opening of submission window.31st July - Submission deadline.19th August - ISCA Clarity 2023 workshop @ Interspeech19th September - Deadline for submission of finalised Workshop papers "},{"title":"What will be provided​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#what-will-be-provided","content":" Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The corresponding clean reference signals (the original speech);Characteristics of the listeners (pure tone audiograms, etc);The measured speech intelligibility scores from listening tests, where hearing-impaired listeners were asked to say what they heard after listening to the hearing aid processed signals.Software tools including a baseline system based on HASPI scores. "},{"title":"For further information​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#for-further-information","content":" To be kept up to date please join our Clarity Challenge Google group. If you have questions, please contact us directly using the contact details found here. "},{"title":"CPC1 results and prizes","type":0,"sectionRef":"#","url":"blog/CPC1 results and prizes","content":"The 1st Clarity Prediction Challenge is now complete. Thank you to all who took part! The full results can be found on the Clarity-2022 workshop website where you will also find links to system papers and the overview presentation. Many of the systems have led to successful Interspeech 2022 papers and will be contributing to the Interspeech 2022 special session on Speech Intelligibility Prediction for Hearing-Impaired Listeners. We hope to see many of you in Korea! In the meantime, please be sure to check out the onging 2nd Clarity Enhancement Challenge. The deadline for submitting enhanced signals is 1st September 2022, so there is still time to participate. To register a team please use the form here.","keywords":""},{"title":"CPC2 eval data released","type":0,"sectionRef":"#","url":"blog/CPC2 eval data released","content":"The CPC2 evaluation data has now been released. The data is available for download as a single 478 MB file, clarity_CPC2_data.test.v1_0.tgz. The evaluation data should be untarred into the same root as the training data. Further details can be found on the challenge website. The data consists of the hearing aid algorithm output signals, clean reference signals, listener audiograms, and head rotation information. Listener responses are not provided for the evaluation data but will be made available after the submission window has closed. For details on how to prepare your submission please see the instructions on the website. If you have any questions please feel free to post them on this forum. The submission window will close on the 31st of July. Good luck!","keywords":""},{"title":"Clarity-2023 Workshop @ Interspeech, Dublin","type":0,"sectionRef":"#","url":"blog/Clarity-2023 Workshop @ Interspeech, Dublin","content":"We are pleased to announce the 4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023). The event will be a one-day workshop held as an ISCA satellite event to Interspeech 2023 in Dublin, Ireland. For registration and programme details please visit the workshop website https://claritychallenge.github.io/clarity2023-workshop/ IMPORTANT DATES 2nd June 2023 - Workshop Submission Deadline (Regular Papers)31st July 2023 - Workshop Submission Deadline (Clarity Challenge Papers)5th August 2023 - Registration closes19th August - Workshop / Clarity Challenge results announced About One of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. The inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss. The Clarity workshops are designed to stimulate a two-way conversation between the speech research community and hearing aid developers. Hearing aid developers, who are not typically represented at Interspeech, will have an opportunity to present the challenges of their industry to the speech community; the speech community will be able to present and discuss potentially transformative approaches to speech in noise processing in the presence of hearing researchers and industry experts. Topics Any work related to the challenges of hearing aid signal processing will be considered relevant topics include, Binaural technology for speech enhancement and source separationMulti-microphone processing technologyReal-time approaches to speech enhancementStatistical model-driven approaches to hearing aid processingAudio quality & intelligibility assessment hearing aid and cochlear implant usersEfficient and effective integration of psychoacoustic testing in machine learningMachine learning for diverse target listenersMachine learning models of hearing impairment The 2nd Clarity Prediction Challenge The Clarity-2023 will also host the 2nd Clarity Prediction Challenge, that is addressing the problem of developing new intrusive and non-intrusive approaches to hearing-aid speech intelligibility prediction. The Challenge will be launching on 1st March, is you may be interested in participating please sign up to our Google group for further announcements. Keynote Talks Prof Fei Chen, SUSTech, China,Prof DeLiang Wang, Ohio State University, US Organisers Michael Akeroyd, University of NottinghamJon Barker, University of SheffieldTrevor Cox, University of SalfordFei Chen, Southern University of Science and Technology, ChinaJohn Culling, University of CardiffSimone Graetzer, University of SalfordAndrew Hines, University College Dublin For further information To be kept up to date please join our Clarity Challenge Google group. If you have questions, please contact us directly using the contact details found here. Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research","keywords":""},{"title":"Release of CEC2 baseline","type":0,"sectionRef":"#","url":"blog/release of CEC2 baseline","content":"We are pleased to announce the release of the 2nd Clarity Enhancement Challenge (CEC2) baseline system code. The baseline code has been released in the latest commit to the Clarity GitHub repository. The baseline system perform NAL-R amplification according to the audiogram of the target listener, followed by a simple gain control and output of the signals to 16-bit stereo wav format. The system has been kept deliberately simple with no microphone array processing or attempt at noise cancellation. HASPI scores for the dev set have been measured. The scores are as follows. System\tHASPIUnprocessed\t0.1615 NAL-R baseline\t0.2493 See here for further details. If you have any problems using the baseline code please do not hesitate to contact us at claritychallengecontact@gmail.com, or post questions on the Google group.","keywords":""},{"title":"Launch of CEC2","type":0,"sectionRef":"#","url":"blog/launch of CEC2","content":"We are pleased to announce the launch of the 2nd Clarity Enhancement Challenge (CEC2). The website has been fully updated to provide you with all the information you will need to participate in the challenge. The schedule for the challenge is as follows: 13th April 2022: Release of training and development data; initial tools.30th April 2022: Release of full toolset and baseline system.1st May 2022: Registration for challenge entrants opens.25th July 2022: Evaluation data released1st Sept 2022: 1st round submission deadline for evaluation by objective measure15th Sept 2022: 2nd round submission deadline for listening testsSept-Nov 2022: Listening test evaluation period.2nd Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. The challenge training, dev data and initial tools will be available from 13th April. In the meantime, please visit the CEC2 Intro page to learn more about the task. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"ICASSP 2023 evaluation data released","type":0,"sectionRef":"#","url":"blog/ICASSP 2023 evaluation data released","content":"We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download. https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO For instructions on preparing your submission please visit: https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_submission If you have not yet registered it is not too late to do so. Please use the form at the link below and we will then send you a Team ID and a personalised upload link for your submission. https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_registration Note, we have extended the deadline for submission until Friday 10th February so that teams have a full week to process the signals. The remaining schedule is as follows, 2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session","keywords":""},{"title":"Live events in January","type":0,"sectionRef":"#","url":"blog/Jan-2-live-events","content":"","keywords":""},{"title":"Webinar - Challenge Overview​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#webinar---challenge-overview","content":" "},{"title":"Friday 14th January​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#friday-14th-january","content":" 9:00 GMT | 17:00 CST (GMT+8) "},{"title":"Click here to join the webinar​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#click-here-to-join-the-webinar","content":" An introduction to the aims of the challenge and some background to the problem of speech intelligibility prediction for hearing aids: Welcome, introduction to Clarity.Speech intelligibility models: Overview and why are they needed.Hearing impairment speech intelligibility prediction.The prediction challenge - details and how you can sign up to participate.Audience questions / discussion. The presentations will be recorded and made available online shortly after the event. The Q&A discussion will not be recorded. You are welcome to join slightly later if you are only interested in joining for the Q&A section (presentations should finish around 9:40 GMT). "},{"title":"Live Q&A session​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#live-qa-session","content":" "},{"title":"Monday 17th January​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#monday-17th-january","content":" 17:00 GMT | 12:00 EST (GMT-5) | 9:00 PST (GMT-8) "},{"title":"Click here to join the Q&A​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#click-here-to-join-the-qa","content":" A chance to ask the team questions about the Clarity Prediction Challenge - for anyone that could not attend the webinar on Friday 14th due to time zone differences. Please note there will be no presentations in this session. The talks from Friday’s webinar will be uploaded to the Clarity project YouTube channel later in the day so you are invited to watch those before joining this live Q&A. "},{"title":"One approach to our enhancement challenge","type":0,"sectionRef":"#","url":"blog/One approach to our enhancement challenge","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"One approach to our enhancement challenge","url":"blog/One approach to our enhancement challenge#references","content":" [1] Andersen, A.H., Haan, J.M.D., Tan, Z.H. and Jensen, J., 2015. A binaural short time objective intelligibility measure for noisy and enhanced speech. In the Sixteenth Annual Conference of the International Speech Communication Association.[2] Li, H., Fu, S.W., Tsao, Y. and Yamagishi, J., 2020. iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. arXiv preprint arXiv:2004.00932.[3] Gillhofer, M., Ramsauer, H., Brandstetter, J., Schäfl, B. and Hochreiter, S., 2019. A GAN based solver of black-box inverse problems. Proceedings of the NeurIPS 2019 Workshop.[4] Kawanaka, M., Koizumi, Y., Miyazaki, R. and Yatabe, K., 2020, May. Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7524-7528). IEEE. "},{"title":"Sounds for round one","type":0,"sectionRef":"#","url":"blog/Sounds","content":"","keywords":""},{"title":"Everyday background noises that interfere with understanding of speech​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#everyday-background-noises-that-interfere-with-understanding-of-speech","content":" A long and varied list of sounds cause problems. These lists are in no particular order. Living room or spaceClocks tickingCrisp packets rustlingTaps runningKettles boilingDishwasherMicrowaveWashing machineTV, music, radioPhone ringing (or receiving texts – unknown beeps/tones)Newspapers rustlingAir-conditioning and oven extractor fansVacuum cleanerDoorbell ringingDog barkingRain on window "},{"title":"Family and friends​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#family-and-friends","content":" Cutlery/crockery banging/clangingDoors opening/closing (to rooms and cupboards)MusicPeople walking around the roomChildren playing with toysLaughingPeople talking from another roomSpeakers from a different conversation in close proximity (i.e. beside you) when you are trying to converseTraffic outsideChewing/chompingSteam pipes/ coffee machinesChairs being moved "},{"title":"Outside​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#outside","content":" Church bellsMarket noiseFootsteps on different types of ground, i.e. heels on hard floors but also wellingtons in mudClothes rustling (such as waterproof coats or hat on hearing aid)Wind (even with HA on ‘wind setting’)Pigeons/birdsSirensTraffic noise (especially at junctions)MusicLaughterPhones ringingTillsChildren playing outside or running around (in shops, on the street and at parks)Beeping signal at crossingsGarden centres – high glass ceilings, open plan, trolleysRoad/ tyre and traffic noise when in a car or on the busAlso mentioned how people you speak to in the car may be in front or behind youTrains and the tubeAeroplanes and airports (suitcases rolling)Tannoys "},{"title":"Characteristics of processed speech to consider​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#characteristics-of-processed-speech-to-consider","content":" Clarity (clearness) or qualityRhythm of speech‘Inflection’ (intonation)Similarity to original speakerAgreed that in situations where the voice would not be processed clearly, i.e. outside with many noise sources, not sounding like the original - speaker is fine. "},{"title":"Other comments​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#other-comments","content":" Speed of speech; it was suggested that we have sentences read at different speeds as faster talkers are often harder to understand.Stated that emphasis on key words is useful for following conversation; perhaps key words in the sentence when marked should be given higher value.Lots of comments on room acoustics, i.e., ceiling heights, furnishings, floorings, windows etc., which has a big impact on how difficult it is to have a conversation with background noise.Different accents of talkers can make conversation more difficult; including speakers with different accents in the background.We’re now working out what sounds to use. But are there other sounds we should consider? "},{"title":"Credits​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#credits","content":" Thank you to the patient and public involvement representatives who participated.Clarity Organiser: Eszter Porter .Facilitators: Adele Horobin, Erin Dawe-Lane.This discussion group was supported by the National Institute for Health Research Nottingham Biomedical Research Centre. "},{"title":"Latency, computation time and real-time operation","type":0,"sectionRef":"#","url":"blog/Latency, computation time and real-time operation","content":"","keywords":""},{"title":"The 1st Clarity Enhancement Challenge​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#the-1st-clarity-enhancement-challenge","content":" For a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. Such processing is useless for hearing aids and therefore our rules include a restriction on the use of future samples. The rules state the following: Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5ms).There is no limit on computational cost. Mathematically this is: yn=f(xm , xm+1 ... xn+N-1 , xn+N , L ) where yn is the output from your hearing aid for sample nnn.xxx is the audio input signal from a hearing aid microphone.N=0.005fsN = 0.005 fsN=0.005fs where fsfsfs is the sampling frequency.mmm is a sample number where m≤nm \\le nm≤n.LLL is the listener characteristics.f()f()f() is the hearing aid function. There is no limitation on how long this takes to compute.You can use multiple microphones; only a single input signal xxx is shown here just for simplicity. Here it is illustrated as a diagram. Figure. Example of how the limit of 5 ms is applied to a hearing aid input and output signal. We have a chosen a limit of 5 ms because in a real hearing aid there will be other sources of delay (e.g., analogue-to-digital, digital-to-analogue conversion). "},{"title":"Why is there no limitation of how long f() takes to compute?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#why-is-there-no-limitation-of-how-long-f-takes-to-compute","content":" We’re trying to foster new approaches to hearing aid processing and decided that at this stage we will drive more innovation if we don’t restrict computation time for round one. Such restrictions will be considered in future rounds. "},{"title":"Why haven’t you talked about latency?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#why-havent-you-talked-about-latency","content":" In discussions, it is apparent that this term is used in different ways by different people, so to avoid confusion we’re not using it! "},{"title":"Do algorithms have to be real-time?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#do-algorithms-have-to-be-real-time","content":" The above limitations mean that the algorithms could in theory be made real-time if a powerful enough computer was available, but your entry can take as long as it needs to process the signals. "},{"title":"Hearing loss simulation","type":0,"sectionRef":"#","url":"blog/Hearing loss simulation","content":"","keywords":""},{"title":"Audio examples of hearing loss​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#audio-examples-of-hearing-loss","content":" Here are two samples of speech in noise processed through the simulator. In each audio example there are three versions of the same sentence: Unimpaired hearingMild hearing impairmentModerate to severe hearing impairment 0 dB signal to noise ratio Your browser does not support the audio element. And here is an example where the noise is louder: Your browser does not support the audio element. Noisier: -10dB signal to noise ratio "},{"title":"Acknowledgements​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#acknowledgements","content":" The hearing loss model we’re using was generously supplied by Michael Stone at the University of Manchester as MATLAB code and translated by us into Python. The original code was written by members of the Auditory Perception Group at the University of Cambridge, ca. 1991-2013, including Michael Stone, Brian Moore, Brian Glasberg and Thomas Baer. Information about the model can be found primarily in Nejime and Moore (1997), but also in Nejime and Moore (1998), Baer and Moore (1993 and 1994), and Moore and Glasberg (1993). The original speech recordings come from the ARU corpus, University of Liverpool (Hopkins et al. 2019). This corpus is freely available at the link in the reference below. "},{"title":"References​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#references","content":" Baer, T., & Moore, B. C. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. The Journal of the Acoustical Society of America, 94(3), 1229-1241.Baer, T., & Moore, B. C. (1994). Effects of spectral smearing on the intelligibility of sentences in the presence of interfering speech. The Journal of the Acoustical Society of America, 95(4), 2277-2280.Hopkins, C., Graetzer, S., & Seiffert, G. (2019). ARU adult British English speaker corpus of IEEE sentences (ARU speech corpus) version 1.0 [data collection]. Acoustics Research Unit, School of Architecture, University of Liverpool, United Kingdom. DOI: 10.17638/datacat.liverpool.ac.uk/681. Retrieved from http://datacat.liverpool.ac.uk/681/.Moore, B. C., & Glasberg, B. R. (1993). Simulation of the effects of loudness recruitment and threshold elevation on the intelligibility of speech in quiet and in a background of speech. The Journal of the Acoustical Society of America, 94(4), 2050-2062.Moore, B. C., Glasberg, B. R., & Vickers, D. A. (1996). Factors influencing loudness perception in people with cochlear hearing loss. B. Kollmeier, World Scientific, Singapore, 7-18.Nejime, Y., & Moore, B. C. (1997). Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. The Journal of the Acoustical Society of America, 102(1), 603-615.Nejime, Y., & Moore, B. C. (1998). Evaluation of the effect of speech-rate slowing on speech intelligibility in noise using a simulation of cochlear hearing loss. The Journal of the Acoustical Society of America, 103(1), 572-576. "},{"title":"Introduction Webinar - Recording Available","type":0,"sectionRef":"#","url":"blog/webinar-1-link","content":"The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online: The slides are available to download: 1 Welcome and Overview 2 Speech Intelligibility Models 3 Hearing Impariment and SI Prediction 4 Clarity Prediction Challenge Details Note that we did not record the Q&A session at the end, but if you have questions about taking part in the challenge you can contact us at claritychallengecontact@gmail.com","keywords":""},{"title":"The baseline","type":0,"sectionRef":"#","url":"blog/The baseline","content":"An overview of the current state of the baseline we’re developing for the machine learning challenges We’re currently developing the baseline processing that challenge entrants will need. This takes a random listener and a random audio sample of speech in noise (SPIN) and passes that through a simulated hearing aid (the Enhancement Model). This improves the speech in noise. We then have an algorithm (the Prediction Model) to estimate the Speech Intelligibility that the listener would perceive (SI score). This score can then be used to drive machine learning to improve the hearing aid. A talk through the baseline model we’re developing. The first machine learning challenge is to improve the enhancement model, in other words, to produce a better processing algorithm for the hearing aid. The second challenge is to improve the prediction model using perceptual data we’ll provide.","keywords":""},{"title":"Welcome to CPC1","type":0,"sectionRef":"#","url":"blog/welcome to CPC1","content":"Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we're still doing listening tests and preparing the data, so the download links don't work. If anything is unclear or you've got questions, please contact us through the Google group.","keywords":""},{"title":"Why use machine learning challenges for hearing aids?","type":0,"sectionRef":"#","url":"blog/Why use machine learning challenges for hearing aids","content":"","keywords":""},{"title":"Components of a challenge​","type":1,"pageTitle":"Why use machine learning challenges for hearing aids?","url":"blog/Why use machine learning challenges for hearing aids#components-of-a-challenge","content":" There needs to be a common task based on a target application scenario to allow communities to gain from benchmarking and collaboration. Clarity project’s first enhancement challenge will be about hearing speech from a single talker in a typical living room, where there is one source of noise and a little reverberation. We’re currently working on developing simulation tools to allow us to generate our living room data. The room acoustic will be simulated using RAVEN and the Hearing Device Head-related Transfer Functions will come from Denk’s work. We’re working on getting better, more ecologically valid speech than is often used in speech intelligibility work. Entrants are then given training data and development (dev) test data along with a baseline system that represents the current state-of-the-art. You can find a post and video on the current thinking on the baseline here. We’re still working on the rules stipulating what is and what is not allowed (for example, will entrants be allowed to use data from outside the challenge). Clarity’s first enhancement challenge is focussed on maximising the speech intelligibility (SI) score. We will evaluate this first through a prediciton model that is based on a hearing loss simulation and an objective metric for speech intellibility. Simulation has been hugely important for generating training data in the CHIME challenges and so we intend to use that approach in Clarity. But results from simulated test sets cannot be trusted and hence a second evaluation will come through perceptual tests on hearing impaired subjects. However, one of our current problems is that we can’t bring listeners into our labs because of COVID-19. We’ll actually be running two challenges in roughly parallel, because we’re also going to task the community to improve our prediction model for speech intelligibility. We’re running a series of challenges over five years. What other scenarios should we consider? What speech? What noise? What environment? Please comment below. "},{"title":"Acknowledgements​","type":1,"pageTitle":"Why use machine learning challenges for hearing aids?","url":"blog/Why use machine learning challenges for hearing aids#acknowledgements","content":" Much of this text is based on Jon Barker’s 2020 SPIN keynote "},{"title":"The speech-in-noise problem part two","type":0,"sectionRef":"#","url":"blog/The speech-in-noise problem part two","content":"","keywords":""},{"title":"Machine learning​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#machine-learning","content":" In recent years, there has been increasing interest in what machine learning methods can do for hearing aids. Machine learning is a branch of artificial intelligence where computers learn directly from example data. One machine learning method is the neural network. This is an algorithm formed from layers of simple computational units connected to each other in a way that is inspired by connections between neurons in the brain. Deep (3+ layer) neural networks are able to learn complex, non-linear mapping functions, which makes them ideal candidates for noise reduction tasks. We anticipate that machine learning can help tackle the challenge of speech in noise for hearing aids, providing a tailored solution for each individual and listening situation. For example, one thing machine learning could do is to sense the acoustic environment the listener is in, and choose the most suitable processing settings. Image via www.vpnsrus.com In recent years, a machine learning approach for noise reduction has become popular. Neural networks are used to estimate time-frequency masks (a set of gains for each time-frequency unit that, when multiplied by the signal, produce less noisy speech; see, e.g., Zhao et al., 2018). Machine learning systems for noise reduction are trained on artificially mixed speech and noise. Some operate on a single channel, i.e., using spectral cues, and some work with multiple channels using spatial cues. We expect that future hearing aids built on machine learning will perform best if they combine the left and right microphones to work binaurally. Most of these noise reduction systems have been designed and evaluated in an off-line mode where they process pre-recorded signals. This isn’t much use for hearing aids that need to work in real-time with low latency (i.e., short delays). One challenge for hearing aids is to redesign off-line approaches to work quickly enough without too much loss of performance. The potential for machine learning to produce better approaches to hearing aid processing is what motivated the Clarity Project. If you’re interested in hearing more as the challenges develop, please sign up. "},{"title":"References​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#references","content":" Brons, I., Houben, R., and Dreschler, W. A. (2014). Effects of noise reduction on speech intelligibility, perceived listening effort, and personal preference in hearing-impaired listeners. Trends in hearing, 18, 1-10.Van den Bogaert, T., Doclo, S., Wouters, J., and Moonen, M. (2009). Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing aids. The Journal of the Acoustical Society of America, 125(1), 360-371.Zhao, Y., Wang, D., Johnson, E. M., and Healy, E. W. (2018). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. The Journal of the Acoustical Society of America, 144(3), 1627-1637. "},{"title":"Credits​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#credits","content":" Photograph of hearing aid wearer, copyright University of Nottingham. Image of brain with overlaid circuity made available by www.vpnsrus.com. "},{"title":"Welcome","type":0,"sectionRef":"#","url":"blog/welcome","content":"Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems.","keywords":""},{"title":"The speech-in-noise problem","type":0,"sectionRef":"#","url":"blog/The speech-in-noise problem","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"The speech-in-noise problem","url":"blog/The speech-in-noise problem#references","content":" Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. International Journal of Audiology, 47(sup2), S53-S71.Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. The Journal of the Acoustical Society of America, 25(5), 975-979.Heinrich, A., Henshaw, H., and Ferguson, M. A. (2015). The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech perception tests. Frontiers in Psychology, 6, 782.Vestergaard Knudsen, L., Öberg, M., Nielsen, C., Naylor, G., and Kramer, S. E. (2010). Factors influencing help seeking, hearing aid uptake, hearing aid use and satisfaction with hearing aids: A review of the literature. Trends in Amplification, 14(3), 127-154.Kochkin, S. (2000). MarkeTrak V: “Why my hearing aids are in the drawer” The consumers’ perspective. The Hearing Journal, 53(2), 34-36. "},{"title":"Credits​","type":1,"pageTitle":"The speech-in-noise problem","url":"blog/The speech-in-noise problem#credits","content":" Photo of Cocktail party by Ross CC BY-NC-SA 2.0Ronan, N., & Barrett, G. (2014). A 68 year old woman with deteriorating hearing. BMJ, 348, g2984. https://www.bmj.com/content/348/bmj.g2984 "},{"title":"Download","type":0,"sectionRef":"#","url":"docs/cec1/cec1_download","content":"Download The baseline code is available on Github. The github repository includes instructions for obtaining the data.","keywords":""},{"title":"The 1st Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec1/cec1_intro","content":"The 1st Clarity Enhancement Challenge warning The 1st Clarity Enhancement Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the Clarity-2021 Workshsop website. For details of information on forthcoming challenge see here. Dates - key challenge dates. Scenario - a description of the listening scenario and how it has been simulated. Baseline System - a description of the baseline hearing aid model. CEC1 Data - the data that can be used to train and evaluate your system during development. CEC1 Software - the software tools that we are providing to help you build and evaluate a challenge entry. Challenge Rules - the rules to which all challenge entries must adhere. Listening Tests - information about the listening tests which will be used to evaluate the best systems. Submission - information about how to prepare your submission. Prizes - information about our prizes. Download - where to go to download the software and challenge data.","keywords":""},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cec1/software/cec1_baseline","content":"Baseline System Figure 1 shows a simplified schematic of the baseline system. For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms. The speech in noise that has been improved by the hearing aid is then passed to the prediction stage (orange box). This includes: (i) a simulation of hearing loss and (ii) a binaural model of intelligibility that estimates the speech intelligibility. Figure 1 Simplified overview of the baseline. As stated in the rules of the first Enhancement Challenge, you are free to choose which parts of the baseline are useful to your approach, and reconfigure the system as you feel fit. More details of the different parts of the baseline appear on the software page, see, Scene GeneratorHearing aid modelHearing loss modelSpeech intelligibility model Download baseline software and data.","keywords":""},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cec1/cec1_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cec1/cec1_results#prizes","content":" The Hearing Industry Research Consortium prizes were awarded as follows: The prizes for the MBSTOI evaluation were awarded to the Brno University of Technology team (first place), the Music Tribe team (second place) and theELO-SPHERES Consortium (third place). The University of Sheffield team was not eligible to win prizes due to connections with the organisers. The overall prizes for the listening test evaluation were awarded to the University of Oldenburg team (first place) and the ELO-SPHERES Consortium (second place). In the noise interferer category, the University of Oldenburg and Googlears teams were the best performers, while in the speech interferer category, the University of Oldenburg team and ELO-SPHERES Consortium were the best performers. For a discussion of the differences in performance for the noise and speech interferers, see the [YouTube video]. The Amazon student prizes were awarded to Katerina Zmolikova from the Brno University of Technology team (first place), Tomas Gajecki from the Medical University Hannover team (second place), and Xi Chen from Shenzhen University, who was an intern at Tencent while working on this challenge (third place). Congratulations to all our prize the winners! "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cec1/cec1_dates","content":"Important Dates We are operating a two-stage submission process with the following key dates. 1st June 2021: Evaluation data release for MBSTOI evaluation for all entrants. 11th June 2021: Registration deadline. 15th June 2021: All entrants submit (i) audio for MBSTOI evaluation and (ii) a draft of their technical report (details below). 22nd June 2021: Deadline by which all entrants must submit two page technical reports to Clarity-2021 workshop (details below). 22nd June 2021: Entrants informed which systems are going forward to the listening test evaluation stage. Evaluation data for listening tests released to those entrants. 29th June 2021: Entrants submit audio for listening tests.","keywords":""},{"title":"Rules","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions.The organisers may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.All teams will be referred to using anonymous codenames in rank ordering. "},{"title":"Intellectual property​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"What information can I use?​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#training-and-development","content":" There is no limit on the amount of training data that can be generated using our tools. Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferer for each hearing aid microphone), andThe listener characterisation (pure tone air-conduction audiograms). "},{"title":"Computational restrictions​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#submitting-multiple-entries","content":" If you wish to submit two entries, where one is optimised for MBSTOI and the other, for listening tests, Both systems must be submitted for MBSTOI evaluation.You must register two teams, submitting each entry as a different team.In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries. We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#evaluation-of-systems","content":" "},{"title":"Stage 1: Objective evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#stage-1-objective-evaluation","content":" Entries will be ranked according to average Modified Binaural Short-Time Objective Intelligibility (MBSTOI) score across all samples in the evaluation/test dataset (i.e., all signals submitted for the MBSTOI evaluation). "},{"title":"Stage 2: Listening test evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#stage-2-listening-test-evaluation","content":" There is a limit on how many systems can be evaluated by the listener panel.A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches.We will choose which will go to the listener panel based on The top N scored using the objective evaluation method.A sample of M others that use contrasting and promising approaches. "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cec1/taking_part/cec1_prizes#the-team-prize","content":" Team prizes have been made available by the generosity of the Hearing Industry Research ConsortiumThere will be separate MBSTOI and listening test prizes for the top systems. MBSTOI prize 1st Place $1000 2nd Place $500 3rd Place $250 Listening Test prize 1st Place $1000 2nd Place $500 3rd Place $250 "},{"title":"The Amazon Student Prize​","type":1,"pageTitle":"Prizes","url":"docs/cec1/taking_part/cec1_prizes#the-amazon-student-prize","content":" Student prizes have been made available by the generosity of Amazon TTS Research Amazon prize for top student contribution 1st Place $1000 2nd Place $500 3rd Place $250 The award will be judged by a panel formed from members of the Clarity-2021 workshop scientific committee.There will be a lightweight nomination process. Details to be announced. info Anonymous entries and those with direct links to the Clarity project team are ineligible for cash prizes, sorry. "},{"title":"CEC2 Download","type":0,"sectionRef":"#","url":"docs/cec2/cec2_download","content":"","keywords":""},{"title":"Software​","type":1,"pageTitle":"CEC2 Download","url":"docs/cec2/cec2_download#software","content":" All the necessary software tools are available as a single GitHub repository. We recommend installing the software first and then following the instructions in the repository's README for downloading and unpacking the data. "},{"title":"Data​","type":1,"pageTitle":"CEC2 Download","url":"docs/cec2/cec2_download#data","content":" The data is available for download here. On the download site you will see three data packages are available, clarity_CEC2_core.v1_1.tgz [28 GB] - metadata and dev setclarity_CEC2_train.v1_1.tgz [69 GB] - scenes for training systemsclarity_CEC2_hoairs.v1_0.tgz [144 GB] - impulse responses for generating extended training data All participants will require the core data package. Participants using machine learning approaches will additionally require the train data package. Participants wishing to extend the training set by using our provided scene rendering tools will also require the high order ambisonic impulse responses (i.e., the hoairs package). To unpack the data we recommend you follow the instructions in the Clarity Challenge GitHub repository. danger If you previously downloaded v1_0 of the core and train data, please replace your data with v1_1: an error was found in the head rotations for the initial data release. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cec2/cec2_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cec2/cec2_results#prizes","content":" The Hearing Industry Research Consortium prizes for systems with the best HASPI score were awarded as follows: 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge 3rd place: System E008_hr, Ouyang et al., The Orka Inc Entry to the 2nd Clarity Enhancement Challenge The Hearing Industry Research Consortium prizes for systems providing the best listener intelligibility scores were awarded as follows: 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge 3rd place: System E037, Lei et al., The Nanjing University / Horizon Robotics system for the 2nd Clarity Enhancement Challenge Congratulations to the winners! "},{"title":"CEC2 Schedule","type":0,"sectionRef":"#","url":"docs/cec2/cec2_dates","content":"CEC2 Schedule Key dates are as follows 30th March 2022: Challenge website launch 14th April 2022: Release of training and development data, plus core software. 30th April 2022: Release of full toolset and baseline system. 1st May 2022: Registration for challenge entrants opens. 25th July 2022: Evaluation data released 1st Sept 2022: 1st round submission deadline for evaluation by objective measure 15th Sept 2022: 2nd round submission deadline for listening tests Sept-Nov 2022: Listening test evaluation period. 12th Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. Workshop likely to be a one-day virtual event","keywords":""},{"title":"Scene Generation","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_scene_generation","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"Scene Generation","url":"docs/cec2/data/cec2_scene_generation#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg. "},{"title":"Submission","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#registration","content":" Teams are required to register using the form below. Please submit one form per team, i.e., providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID and an individualised link to a Google Drive for submitting materials. Loading… info It is important that all teams who are intending to submit an entry complete the registration form no later than 11th June. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of 1500 scenes. For each scene you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON formatted metadata consisting of the audiograms of a set of listeners anda mapping of which listeners will listen to which scenes. For the MBSTOI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. For the listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the CEC1 Data page. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#what-audio-do-i-need-to-submit","content":" You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the MBSTOI evaluation (due 15th June) and the second for the listening tests (due 29th June). MBSTOI evaluation. Signals should be submitted in floating point WAV format with a 44.1 kHz sampling rate. For levels, we will follow the convention in the baseline hearing aid (at the output) and hearing loss models. That is, a +/-1 square wave has RMS = 0 dB FS and corresponds to 120 dB. Listening tests. Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate (due to hardware limitations). You should ensure that any samples that are greater than +1 or less than -1 have been hard-clipped at +/-1 before submission. Here, 0 dB FS corresponds to approximately 100 dB, given the capabilities of the reproduction equipment. These signals will be played as is to the listener panel. We also encourage you to submit your simulated hearing aid code. See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_HA-output.wav and explained on the CEC1 data page. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., E001 and then packaged using zip or tar or any standard packaging tool. The resulting file should be about 2 GB for the first round. "},{"title":"Technical report​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-2021 Workshop. Deadline 22nd June. An author kit and submission instructions are available at the workshop website. A draft of the report needs to be uploaded to the Google Drive along with your MBSTOI signals by 15th June. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules. Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Your report should cite the following document, which provides an overview of the challenge and the baseline system: S. Graetzer, J. Barker, T. J. Cox, M. Akeroyd, J. F. Culling, G. Naylor, E. Porter, and R. Viveros Muñoz, “Clarity-2021 challenges: Machine learning challenges for advancing hearing aid processing,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno, Czech Republic, 2021. The document can be accessed here. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. You will be able to use the same link to upload materials for both the 1st submission, and the 2nd submission if you are selected for the 2nd round. We also encourage you to submit your simulated hearing aid code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"The 2nd Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec2/cec2_intro","content":"","keywords":""},{"title":"Overview of challenge​","type":1,"pageTitle":"The 2nd Clarity Enhancement Challenge","url":"docs/cec2/cec2_intro#overview-of-challenge","content":" We want you to improve speech in the presence of background noise - see Figure 1. On the left there is a person with a quantified hearing loss. They are listening to speech from the target talker on the right. They are both in a living room. There is interfering noise from a number of sources (TV and washing machine in this case). The speech and noise is sensed by microphones on the hearing aids of the listener. Your task is to take these microphone feeds and the listener’s hearing characteristics, to produce signals where the speech is more intelligible. We will evaluate the success of your processing using an objective speech intelligibility metric. Some entrants will also be evaluated by a panel of listeners with a hearing impairment. Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound. The scenario has been made more difficult than the first Clarity Enhancement Challenge by having: More noise sourcesMore varied noise sources (speech, music, appliances)The listener turns their head during the talking.Less predictable target onset timing. For more details use the contents pane on the left to navigate the CEC2 site. "},{"title":"Listening Tests","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_listening_tests","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#overview","content":" Our panel members will be provided with a tablet preloaded with our Listen@Home software and headphones to complete the listening experiment. They will listen to an entrant’s sentence, respond verbally with what they think was said by the target talker, and then move on to the next sentence. Their response will be recorded by the tablet microphone(s) and then processed using automatic speech recognition. Intelligibility will be evaluated as the number of words identified correctly in the sentence. Our plan is that each listener will evaluate 1,200 sentences, which is about 4 hours of listening, and that every listener will evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible. Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn. "},{"title":"Listen@Home hardware​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#listenhome-hardware","content":" We will be using a Lenovo 10e Chromebook running Android 81.0 and Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. Without loudness-recruitment measures for our listeners, we cannot be sure just what loudnesses every participant will hear, so we need to allow them to make the choice here. We have measurements on the output capability of a system in the laboratory: A 1 kHz pure tone set to be the most powerful it can be (i.e., an amplitude range of +/-1 = RMS amplitude of 0.707, and the volume controls at 100%) gave 99 dB(A) SPL on the PC-8 headphones.An ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3, gave 90 dB(A) at the same volume level. With this RMS, the noise had 0.1% of its samples clipped at +/- 1. It is important to note that there is a convention for the prediction model that a +/-1 square wave has RMS = 0 dB FS and corresponds to 120 dB, while for listening tests, 0 dB FS corresponds to approximately 100 dB, given the above capabilities of the reproduction equipment. For the listening tests, we will require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate (see this page). We will play the signals as is using a HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"References​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#references","content":" [1] ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_baseline","content":"","keywords":""},{"title":"Baseline performance​","type":1,"pageTitle":"Baseline System","url":"docs/cec2/software/cec2_baseline#baseline-performance","content":" The average speech intelligibility (HASPI) score for the unprocessed development test set is 0.1615. When processed with the simple baseline hearing aid (i.e., NALR amplification followed by a simple automatic gain compressor) the average HASPI score increases to 0.2493. These results are summarised in the table below. Your task is to improve on the 0.2493 baseline HASPI score. System\tHASPIUnprocessed\t0.1615 NAL-R baseline\t0.2493 "},{"title":"References​","type":1,"pageTitle":"Baseline System","url":"docs/cec2/software/cec2_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (haspi) version 2. Speech Communication, 131, pp.35-46. "},{"title":"CEC1 Data","type":0,"sectionRef":"#","url":"docs/cec1/data/cec1_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#a-training-development-evaluation-data","content":" The dataset is split into these three subsets: training (train), development (dev) and evaluation (eval). You should only train on the training set.The system submitted should be chosen on the evidence provided by the development set.The final listening and ranking will be performed with the (held-out) evaluation set.For more information on supplementing the training data, please see the rules. The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b-the-scene-dataset","content":" The complete dataset is composed of 10,000 scenes split into the following sets: Training (6000 scenes, 24 speakers);Development (2500 scenes, 10 speakers);Evaluation (1500 scenes, 6 speakers). Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training, development and evaluation sets are disjoint for target speaker. The three sets are balanced for target speaker gender. Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used. The BRIRs are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files are specification files for the geometric room acoustic model that include a complete description of the room. "},{"title":"B.1 Training data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).HRIRs including those corresponding to the target azimuth.The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate BRIR;The interferer convolved with the appropriate BRIR;The sum of the target and interferer convolved. The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files. Software for generating more training data is also available. "},{"title":"B.2 Development data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b2-development-data","content":" The same data as for the training will be made available to allow you to fully examine the performance of your system. Note, that the data available for the evaluation will be much more limited (see B.3). For each scene, during development, your hearing aid enhancement model must only use the following input signals/data: The sum of the target and interferer – mixed at the SNR specified in the scene metadata – at one or more hearing aid microphones (CH1, CH2 and/or CH3).The IDs of the listeners assigned to the scene in the metadata provided.The audiograms of these listeners. "},{"title":"B.3 Evaluation scene data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b3-evaluation-scene-data","content":" For each scene in the evaluation data only the following will be available: The sum of the target and interferer for each hearing aid microphone.The ID of the evaluation panel members/listeners who will be listening to the processed scene.The audiograms of these listeners. "},{"title":"C Listener data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c-listener-data","content":" "},{"title":"C.1 Training and development data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c1-training-and-development-data","content":" A sample of pure tone air-conduction audiograms that characterise the hearing impairment of potential listeners, split into training and development sets. "},{"title":"C.2 Evaluation data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c2-evaluation-data","content":" You will be given the left and right pure tone air-conduction audiograms for the listening panel, so the signals you generate for evaluation can be individualised to the listeners. A panel of 50 hearing-aided listeners will be recruited for the evaluation panel. We plan that they will be experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations in Filenames​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d1-abbreviations-in-filenames","content":" R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d2-general","content":" Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left and right signals of the ear or hearing aid microphones.HRIRs have a sampling rate of 48 kHz.Metadata will be stored in JSON format wherever possible.Room descriptions are stored as RAVEN project ‘rpf’ configuration files.Signals are saved within the Python code as 32-bit floating point by default. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was supposed to be spoken as presented to the readers.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d4-source-audio-files","content":" Wav files containing the original source materials.Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav <Scene ID>_interferer_<Channel ID>.wav <Scene ID>_mixed_<Channel ID>.wav <Scene ID>_target_anechoic.wav Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d6-enhanced-signals","content":" The signals that are output by the enhancement (hearing aid) model. <Scene ID>_<Listener ID>_HA-output.wav #HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel. "},{"title":"D.7 Enhanced signals processed by the hearing loss model​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d7-enhanced-signals-processed-by-the-hearing-loss-model","content":" The signals that are produced by the hearing loss (HL) model. <Scene ID>_<Listener ID>_HL-output.wav HL output signal<Scene ID>_<Listener ID>_HL-mixoutput.wav HL-processed CH0 signal, bypassing HA processing, for comparison<Scene ID>_<Listener ID>_flat0dB_HL-output HL-output for flat 0 dB audiogram processed signal for comparison<Scene ID>_<Listener ID>_HLddf-output unit impulse signal output by HL model for time-alignment of signals before processing by the baseline speech intelligibility model "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d8-scene-metadata","content":" JSON file containing a description of the scene and assigns the scene to a specific member of the listening panel. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight. scenes.json [ { "scene": "S00001", "room": { "name": "R00001", "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres }, "SNR": 3.8356, "hrirfilename": "VP_N5-ED", // HRIR filename "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "Positions": [ -0.5, 3.4, 1.2 ], "ViewVectors": [ 0.291, -0.957, 0 ], "name": "T022_HCS_00002", // target speaker code and BNCid "nsamples": 153468, // length of target speech in samples }, "listener": { "Positions": [ 0.2, 1.1, 1.2 ], "ViewVectors": [ -0.414, 0.91, 0 ] }, "interferer": { "Positions": [ 0.4, 3.2, 1.2 ], "name": "CIN_dishwasher_012", // interferer name "nsamples": 1190700, // interferer length in samples "duration": 27, // interferer duration in seconds "type": "noise", // interferer type: noise or speech "offset": 182115, // interferer segment starts at n samples from beginning of recording }, "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver "dataset": "train", // dataset: train, dev or eval/test "pre_samples": 88200, // number of samples of interferer before target onset "post_samples": 44100 // number of samples of interferer after target offset }, { // etc. } ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room.A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files.The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file.Non-speech interferers are labelled CIN_<noise type>_XXX, while speech interferers are labelled <three letter code including dialect and talker gender>_XXXXX . "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d9-listener-metadata","content":" Listener data stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ 10, 15, 25, 40, 50, 65, 65, 70 ], }, "L0002": { // ... etc }, // ... etc } "},{"title":"D.10 Scene-Listener map​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d10-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003". "L0005", "L0007"], // etc } "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_core_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#a-scene-generator","content":" Fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, HOA-IRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid consists of a NAL-R fitting amplification stage [1] followed by a simple automatic gain compressor. It produces output signals in 16-bit wav format ready for HASPI or listening test evaluation. Inputs: Inputs for each hearing aid channel and audiograms to characterise the listeners.Outputs: Stereo hearing aid (HA) outputs signals. "},{"title":"C. HASPI Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#c-haspi-speech-intelligibility-model","content":" Python implementation of the Hearing Aid Speech Perception Index (HASPI) model which is used for objective intelligibility estimation. This will be used in the stage 1 evaluation of entrants (see Rules). Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#references","content":" [1] Byrne, Denis, and Harvey Dillon. "The National Acoustic Laboratories'(NAL) new procedure for selecting the gain and frequency response of a hearing aid." Ear and hearing 7.4 (1986): 257-265. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cec1/software/cec1_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#a-scene-generator","content":" Fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, BRIRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid processor is based on openMHA. The python code configures openMHA with a Camfit compressive fitting for a specific listener’s audiogram. This includes a python implementation of the Camfit compressive prescription and python code for driving openMHA. This configuration of openMHA includes multiband dynamic compression and non-adaptive differential processing. The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly. The main inputs and outputs for the processor are as follows: Inputs: Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in ‘scenes_listeners.json’ and an entry in the listener metadata json file ‘listeners.json’ for that IDOutputs: The stereo hearing aid output signal, <scene>_<listener>_HA-output.wav "},{"title":"C. Hearing Loss model​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#c-hearing-loss-model","content":" Open-source python implementation of the Cambridge Auditory Group Moore/Stone/Baer/Glasberg hearing loss model. Inputs: A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears).Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"D. Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#d-speech-intelligibility-model","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI). This is an experimental baseline tool that will be used in the stage 1 evaluation of entrants (see Rules). Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), (scene metadata)Outputs: predicted intelligibility score "},{"title":"CEC2 Registration","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_registration","content":"CEC2 Registration Teams are required to register using the form below. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials. Loading… Registration closes on August 28th, but earlier registration will help us to plan for the listening tests.","keywords":""},{"title":"Find collaborators","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_find_a_team","content":"Find collaborators If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators. We encourage everyone to join the Clarity Challenge’s Google group to stay updated with project news and announcements. We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group). You are welcome to contact us if you have any questions about forming a team or participating in the challenge: Email the Clarity Team","keywords":""},{"title":"CEC2 Prizes","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"CEC2 Prizes","url":"docs/cec2/taking_part/cec2_prizes#the-team-prize","content":" Team prizes have been made available by the generosity of the Hearing Industry Research ConsortiumThere will be separate HASPI and listening test prizes for the top systems. HASPI prize 1st Place $1000 2nd Place $500 3rd Place $250 Listening Test prize 1st Place $1000 2nd Place $500 3rd Place $250 info Anonymous entries and those with direct links to the Clarity project team are ineligible for cash prizes, sorry. "},{"title":"CEC2 Submission","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_submission","content":"","keywords":""},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of 1500 scenes. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of the audiograms and DTT results for a set of listeners anda mapping of which listeners will listen to which scenes. There will also be some clean audio examples for the target talker, that are not the same as the target utterance. For the stage 1 HASPI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. For the stage 2 listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the CEC2 Data page. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#what-audio-do-i-need-to-submit","content":" You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the HASPI evaluation and the second for the listening tests (see submission dates above). Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate, and 0 dB FS corresponds to 100 dB SPL, given the capabilities of the listening test reproduction equipment. The format of signals submitted for HASPI evaluation and for the listening tests is the same. We also encourage you to submit your simulated hearing aid code. See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_HA-output.wav and explained on the CEC2 data page. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., E001 and then packaged using zip or tar or any standard packaging tool. The resulting file should be about 2 GB for the first round. "},{"title":"Technical report​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-2022 Workshop. Deadline - see date above. An author kit and submission instructions will be made available.A draft of the report needs to be uploaded to the Google Drive along with your HASPI signals - see above for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules.Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. You will be able to use the same link to upload materials for both the 1st submission and the 2nd submission if you are selected for the 2nd round. We also encourage you to submit your simulated hearing aid code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"The 3nd Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec3/cec3_intro","content":"","keywords":""},{"title":"Overview of challenge​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#overview-of-challenge","content":" The challenge provides participants with hearing aid input signals representing scenes containing a target speaker. Participants are asked to process the signals to provide hearing aid output signals that will be intelligible to hearing-impaired listeners. The challenge is evaluated using standard objective speech intelligibility metrics but also with listening tests with hearing-impaired listeners. The challenge will be organised into two Tracks which extend the previous 2nd Clarity Enhancement Challenge in complementary directions. Further details of the tracks are presented below. "},{"title":"Track 1: Real hearing aid signals​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#track-1-real-hearing-aid-signals","content":" In the previous CEC1 and CEC2 challenges, hearing aid input signals were simulated using pre-recorded audio sources mixed with simulated room impulse responses and hearing aid head-related transfer functions. In this track, we provide participants with scenes that use the same domestic living room scenario, but which are closer to real hearing aid signals. There will be two types of data: First, the same as CEC2 but now using measured impulse responses from a real room.Second, using acoustic scenes that have been recorded over real hearing-aid shells worn by a listener who is actively engaged in the scene. For the second case, the recordings will be subject to natural head movements and accurate head movement data will be provided for training purposes. "},{"title":"Track 2: Real dynamic background noises​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#track-2-real-dynamic-background-noises","content":" In all previous Clarity challenges, the interfering signals have been static and carefully controlled. In this track, we will use naturally occurring, dynamic noise backgrounds. We are collecting a dataset of 64-channel ambisonic audio recordings from settings that hearing-impaired listeners find challenging. These include train stations, roadsides and large social gatherings (i.e., the 'cocktail party' scenario). Using these recordings and measured impulse responses, we will create a dataset of hearing aid input signals feature target sentences in dynamic background noise. For both tracks, we will be providing standard training, development and evaluation datasets. The training and development datasets will be released at the start of the challenge. The evaluation dataset will be released shortly before the submission deadline without reference signals. Participants will then be asked to submit their processed signals for remote evaluation. Further details of the challenge tracks will be presented on this site in the run-up to the official launch of the challenge on 30th March. To stay up to date please sign up for the Clarity Challenge’s Google group. "},{"title":"Important Dates​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#important-dates","content":" Key dates are as follows 2nd April 2024: Challenge launch with dataset and baseline software 25th July 2024: Evaluation data released 2nd Sept 2024: First round submission deadline for evaluation by objective measure 16th Sept 2024: Second round submission deadline for listening tests Sept-Nov 2024: Listening test evaluation period. Dec 2024: Results announced at a Clarity Challenge Workshop; prizes awarded. The workshop is likely to be a one-day virtual event. Date to be decided. "},{"title":"Additional Tools","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_additional_tools","content":"","keywords":""},{"title":"Hearing loss model​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#hearing-loss-model","content":" This is an open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge [1, 2]. Inputs: A stereo wav audio signal, e.g., the output of the hearing aid model and audiograms for left and right ear.Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"Differentiable source separation and hearing aid amplification modules​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#differentiable-source-separation-and-hearing-aid-amplification-modules","content":" The modules are from the Sheffield E009 system in CEC1. The source separation module is a multi-channel Conv-TasNet optimised with a SNR objective. The hearing aid amplification module is an FIR filter optimised with an objective, which is the combination of a differentiable approximation to the hearing loss model and a STOI loss. Inputs: six channels of mixed signals, i.e., mixed_CH1.wav, mixed_CH2.wav, and mixed_CH3.wavOutputs: a single channel enhanced signal, therefore two source separation and amplification modules for left and right ears need to be optimised for the enhanced binaural signal. "},{"title":"Speech intelligibility model (MBSTOI)​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#speech-intelligibility-model-mbstoi","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI) [3]. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections 'turned off', specified as 'target_anechoic'), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#references","content":" Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cec1/data/cec1_scenario","content":"","keywords":""},{"title":"Simulating the audio signals received by the hearing aid​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#simulating-the-audio-signals-received-by-the-hearing-aid","content":" A listener – or receiver – is sitting or standing in a small room that has low to moderate reverberation. The person is listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity utterances. Simultaneously, an interferer sound is playing; this is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). An example scenario is shown in Figure 1. The room geometry showing origin location is defined in Figure 2. Example SceneRoom Geometry Figure 1. Example overview. Figure 3, below, shows the basic scene generator. The sound at the receiver is generated first by convolving the source signals with Binaural Room Impulse Responses (BRIRs). The reverberated speech and noise signals are then summed after appropriate gains are applied. The gains are set to achieve a Signal-to-Noise Ratio (SNR), which is chosen pseudo-randomly between limits. The BRIRs are generated using the RAVEN Geometric Room Acoustic Model [1]. There are additional signal paths and outputs generated that have been omitted from Figure 3 for clarity. In addition to the reverberated signals associated with the hearing aid microphones, the signal close to the eardrum is also generated. You can also access the reverberated speech and noise signals before they are mixed. Figure 3. Simplified diagram of the scene generator. RIR refers to Room Impulse Response, HRTFs refers to Head Related Transfer Functions, SNRs are signal-to-noise ratios, and gain calc. indicates gain calculation. Dry here means anechoic. The outputs are noisy speech signals. "},{"title":"Room Geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#room-geometry","content":" Cuboid rooms with dimensions length, LLL, by width, WWW, by height, HHH.Length LLL set using a uniform probability distribution random number generator with 3≤L(m)≤83 \\le L (m) \\le 83≤L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7m2.7 m2.7m and standard deviation of 0.8m0.8 m0.8m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7m217.7 m^217.7m2 and standard deviation of 5.5m25.5 m^25.5m2. "},{"title":"Room Materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least at 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The receiver​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2m1.2 m1.2m (sitting) or 1.6m1.6 m1.6m (standing). The receiver is positioned so as to be roughly facing the target talker. That is to say, within ±30\\pm 30±30 degrees of target. The angle = 7.5n7.5n7.5n where nnn is an integer and ∣n∣≤4|n| \\le 4∣n∣≤4. "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. "},{"title":"The interferer​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-interferer","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) The interferer is a single point source radiating speech or non-speech noise omnidirectionally. It is placed within the room using uniform probability distribution random number generators for the coordinates. These constraints ensure the interferer is not too close to the wall or receiver. It is set to be at the same height as the receiver. Note, this means that the interferer can be at any angle relative to the receiver. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ "},{"title":"Timing​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#timing","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"Signal-to-Noise Ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#signal-to-noise-ratio-snr","content":" The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. Note that the interferer can be at any azimuth from the point of view of the listener/receiver. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen using a uniform probability distribution random number generator between the limits of ranges specified for the speech and non-speech interferers. The better ear SNR, here termed BE_SNR, which models the better ear effect in binaural listening, is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the interferer that overlaps with the target (without padding) , i‘, and the target (without padding), t‘, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i‘ and t’ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The whole interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050];Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001]; Figure 4, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_dates","content":"Important Dates 16th November 2021: Launch of challenge, release of data.23rd November 2021: Webinar to introduce the challenge 15:00-17:00 UK time.1st March 2022: Release of evaluation data.21st March 2022: Submission deadline. All entrants submit their predictions plus a draft of their technical report. Scores will be returned with 24 hours of submission.28th March 2022: Deadline for Interspeech paper submission.25th April 2022: Deadline by which all entrants must submit two page technical reports to Clarity Prediction Challenge 2022 workshop.29th June 2022: Clarity Prediction Challenge 2022 workshop.Sept 18-22, 2022: Interspeech 2022 Special Session.","keywords":""},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_scenario","content":"","keywords":""},{"title":"Brief overview of random scenario generation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#brief-overview-of-random-scenario-generation","content":" The scenarios are for: Small rooms that have low to moderate reverberation with randomized dimensions and locations of materials such as carpets.The locations of the listener, target and interferer are randomized.The target talker is selected from our set of 40 speakers.The target talker produces a randomly chosen 7-10 word utterance.There are two or three interferer sounds running throughout the audio. This can be a: stream of competing speech;continuous domestic noise source (e.g., a washing machine); ormusic source. The target speech source will onset about one second into the scene.The listener starts not looking at the target talker, but around the time the target speech starts, the listener rotates their head to approximately face towards the target. An example scenario is shown in Figure 1. It also defines the coordinate system and origin for the room generation. Figure 1, An example scenario with two noise interferers. "},{"title":"Room geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#room-geometry","content":" Cuboid rooms with dimensions length LLL by width WWW by height HHH.Length LLL set using a uniform probability distribution random number generator with 3<L(m)≤83 < L(m) \\le 83<L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7 m and standard deviation of 0.8 m.Area L×WL×WL×W set using a Gaussian distribution random number generator with mean 17.7 m2^22 and standard deviation of 5.5 m2^22 "},{"title":"Room materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The listener (receiver)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-listener-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2 m (sitting) or 1.6 m (standing). "},{"title":"Head rotation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#head-rotation","content":" The listener is initially oriented away from the target and will turn to be roughly facing the target talker around the time when the target speech starts Orientation of listener at start of the sample ~25° from facing the target (standard deviation = 5°), limited to +-2 standard deviations.Start of rotation is between -0.635 s to 0.865s (rectangular probability)The rotation lasts for 200 ms (standard deviation =10 ms)Orientation after rotation is 0-10° (random with rectangular probability distribution). "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. The target speech starts between 1.0 and 1.5 seconds into the mixed sound files (rectangular probability distribution). "},{"title":"The interferers​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-interferers","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) Each interferer is modelled as an omnidirectional point source. They will be radiating: speech, noise or music. They are placed within the room using uniform probability distribution random number generators for the coordinates. The following constraints ensure the interferer is not too close to the wall or listener. However, interferers are independently positioned with no constraint on their position relative to each other. They are set to be at the same height as the listener. Note, this means that the interferers can be at any angle relative to the listener. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ The interferers are present over the whole mixed sound file. "},{"title":"Signal-to-noise ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#signal-to-noise-ratio-snr","content":" The SNR of the mixtures are engineered to achieve a suitable range of speech intelligibility values. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the summed interferers that overlaps with the target (without padding), i′i'i′, and the target (without padding), t′t't′, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i′i'i′ and t′t't′ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The summed interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The frequency response is shown in Figure 2. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050]Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001] Figure 2, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"Download","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_download","content":"Download The following challenge data are available for download: The challenge training data is available for download as a single 13 GB file, clarity_CPC1_data.v1_1.tgzThe evaluation data in now available (1st March) for download as a single 6 GB file, clarity_CPC1_data.test.v1.tgz. The evaluation data should be untarred into the same root as the training data. The Github repository containing the baseline code is here. The repository contains code for CPC1 and also for the earlier enhancement challenge CEC1. You will find all the necessary instructions for installing the data and setting up the baseline system: i.e. running the MSBG hearing loss model and MBSTOI intelligibility prediction stage. We will be making a further small release in early December to specify the final evaluation metrics that we will be using to rank entries. info The Challenge is now closed but the data is still available for anyone to use. If using the data please cite the following paper Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022.","keywords":""},{"title":"Listening Tests","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_listening_tests","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#overview","content":" The listeners will be provided with a USB stereo headset to complete the listening experiment. The experiment will be run by our “Listen@Home” web software running on either the participant’s own computer or a tablet we supply. The software plays each sentence once, then the participant speaks aloud what they think was said by the target talker. Their response is recorded by the headset’s microphone for offline scoring. We ask that the participant uses a quiet room for the experiment. Intelligibility will be evaluated as the number of words identified correctly in the sentence. Our plan is that each listener will undertake a few hours of listening and evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible. Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn. "},{"title":"Listen@Home hardware​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#listenhome-hardware","content":" We will be using Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. Without loudness-recruitment measures for our listeners, we cannot be sure just what loudnesses every participant will hear, so we need to allow them to make the choice here. We have measurements of the output capability of a system in the laboratory: A 1 kHz pure tone set to be the most powerful it can be (i.e., an amplitude range of +/-1 = RMS amplitude of 0.707, and the volume controls at 100%) gave 99 dB(A) SPL on the PC-8 headphones.An ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3, gave 90 dB(A) at the same volume level. With this RMS, the noise had 0.1% of its samples clipped at +/- 1. Due to the above capabilities of the reproduction equipment, in the submitted signals, 0 dB FS should correspond to 100 dB SPL. We will also require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate. We will play the signals as is using an HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"References​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#references","content":" ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"CEC2 FAQ","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cpc1/software/cpc1_baseline","content":"Baseline System Figure 1 is a simplified schematic of the baseline system, where not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener; hence, there is also a system to select a random listener (white ellipse) with a particular set of characteristics (e.g., audiograms). The SPIN that has been improved by the hearing aid is then passed to the prediction stage (orange box). This comprises two models: a hearing loss model, anda binaural speech intelligibility model. This prediction stage (orange box) is what we want you to improve on in this challenge. Figure 1 Simplified overview of the baseline. You are free to choose which parts of the baseline you use and reconfigure the system as you see fit. You can use our hearing loss model as part of your entry, or produce a single model that combines the hearing loss and speech intelligibility models. For an introduction to elements of the prediction model, please see our FAQ, which includes an overview of Speech intelligibility, andHearing loss and what hearing aids do. For the prediction challenge, most examples of the improved SPIN shown in the centre of the diagram come from hearing aid models created by the entrants to the first Enhancement Challenge. Therefore, most audio signals in the prediction challenge data were not processed by the baseline hearing aid model. More details of the different parts of the baseline appear on the software page. See the following sections: Scene GeneratorHearing aid modelHearing loss modelSpeech intelligibility model Download baseline software and data.","keywords":""},{"title":"The 1st Clarity Prediction Challenge","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_intro","content":"","keywords":""},{"title":"Key dates (updated 14/01/22)​","type":1,"pageTitle":"The 1st Clarity Prediction Challenge","url":"docs/cpc1/cpc1_intro#key-dates-updated-140122","content":" 16th November 2021: Launch of challenge, release of data.23rd November 2021: Webinar to introduce the challenge 15:00-17:00 UK time.1st March 2022: Release of evaluation data.21st March 2022: Submission deadline. All entrants submit their predictions plus a draft of their technical report (details below). Scores will be returned with 24 hours of submission.28th March 2022: Deadline for Interspeech paper submission.25th April 2022: Deadline by which all entrants must submit two page technical reports to Clarity Prediction Challenge 2022 workshop.29th June 2022: Clarity Prediction Challenge 2022 workshop.Sept 18-22, 2022: Interspeech 2022 Special Session. "},{"title":"More details​","type":1,"pageTitle":"The 1st Clarity Prediction Challenge","url":"docs/cpc1/cpc1_intro#more-details","content":" Scenario - a description of the listening scenario and how it has been simulated. Baseline System - a description of the baseline software model. Data - the data that can be used to train and evaluate your system during development. Software - the software tools that we are providing to help you build and evaluate a challenge entry. Challenge Rules - the rules to which all challenge entries must adhere. Submission - information about how to prepare your submission. Prizes - information about our prizes. Download - where to go to download the software and challenge data. Find a team - if you'd like to find collaborators to help you compete. FAQ - an extensive FAQ answering key questions and providing background knowledge to help you compete. "},{"title":"CEC2 Data","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#a-training-development-evaluation-data","content":" The dataset of 10,000 scenes is split into three: Training (train).Development (dev).Evaluation (eval). Uses of the data: You should not use the development or evaluation data set for training.The system submitted should be chosen on the evidence provided by the development set.The final listening and ranking will be performed with the (held-out) evaluation set.For more information on augmenting and supplementing the training data, please see the rules.The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b-the-scene-dataset","content":" The complete dataset is composed split into the following sets: Training (6000 scenes, 24 speakers);Development (2500 scenes, 10 speakers);Evaluation (1500 scenes, 6 speakers). Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers. The training, development and evaluation sets are disjoint with respect to the target speakers. The three sets are balanced for the gender of the target talker. High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on scene generation for more details. Time-domain acoustic signals are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files and ac files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials. "},{"title":"B.1 Training data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears).The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate HOA-IRs and downmixed;The interferers convolved with the appropriate HOA-IRs and downmixed;The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid) The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (‘target_anechoic’). For use as a reference when computing HASPI scores.Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.A signal describing the head rotation (i.e. azimuthal angle at each sample) "},{"title":"B.2 Development data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b2-development-data","content":" This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set) Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended. Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section B.3). When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below). "},{"title":"B.3 Evaluation data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b3-evaluation-data","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)Speaker adaptation sentence - 4 clean utterances for each target speaker. One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities: The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture.The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics. These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking. "},{"title":"C Listener data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them. The same types of data are available for training, development and evaluation. A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English. The quantification of the listeners’ hearing is done with: Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound.Results from the DTT (digit-triplet test, also known as a triple digit test)​ The audiogram is the standard clinical measurement of hearing ability. It’s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., British Society of Audiology Recommended Procedure. Typically it’s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. CAMFIT, NAL-NL2 or DSL . Note that the scale of an audiogram is in “dB HL” = “dB Hearing Level”. This is not dB SPL; instead, it’s relative to an international standard such that 0-dB is “normal hearing” at every frequency. For background see Why the Audiogram Is Upside-down | The Hearing Review and The Quest for Audiometric Zero | The Hearing Review The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al.'s high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations used in filenames​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d1-abbreviations-used-in-filenames","content":" The following abbreviations are used consistently throughout the filenames and references in the metadata. R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d2-general","content":" Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones.0 dB FS in the audio signals corresponds to 100 dB SPL.Metadata will be stored in JSON or csv format as appropriate with the exception of Room descriptions are stored as RAVEN project ‘rpf’ configuration files and ‘ac’ files. (However, key details are reflected in the scene.json files) Signals are saved within the Python code as 32-bit floating point by default.Output signals for the listening tests will be required to be in 16-bit format. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was given to the talkers to say.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d4-source-audio-files","content":" Wav files containing the original source materials. Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav<Scene ID>_interferer_<Channel ID>.wav<Scene ID>_mixed_<Channel ID>.wav<Scene ID>_target_anechoic.wav - at hearing device front microphone<Scene ID>_hr.wav - head rotation signal Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone The anechoic signal is the signal that will be used as the referernce in the HASPI evaluation. The head rotation signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured. "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d6-enhanced-signals","content":" The signals that are output by the baseline enhancement (hearing aid) model. <Scene ID>_<Listener ID>_HA-output.wav #HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel. "},{"title":"D.7 Room metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d7-room-metadata","content":" JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene. rooms.json [ { "name": "R00001", // ID of room linking to RAVEN rpf and ac files "dimensions": "6.9933x3x3", // Room dimensions in metres "target": { // # target positions (x,y,z) and view vectors (look directions, x,y,z) "position": [-0.3, 2.4, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "listener": { "position": [-0.1, 5.2, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "interferers": [ { "position": [0.4, 4.0, 1.2], }, { // # etc, up to three interferers } ], }, ... ] "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d8-scene-metadata","content":" JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section D.7) plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings. scenes.json [ { "scene": "S00001", // the unique scene ID "room":: "R00001", // ID of room linking to rooms.json "target": { "name": "T005_JYD_04274", // target speaker code and BNCid "time_start": 107210, // start time of target in samples "time_end": 217019 // end time of target in samples }, "listener": { "rotation": [ // Defines the head motion - list of time, direction pairs { "sample": 88200, "angle": 30 // Azimuth angle in degrees }, { "sample": 176400, "angle”: 50 } ], "hrir_filename": ["VP_N4-ED", "VP_N4-BTE_fr", "VP_N4-BTE_mid", "VP_N4-BTE_rear"] // HRIR filename for each channel to generate }, "interferers": [ { "position": 1, // Index of interferer position (See rooms.json) "time_start": 0, // time of interferer onset in samples "time_end": 261119, // time of interferer offset in samples "name": "track_1353255", // interferer name "type": "music", // interferer type: speech, noise or music "offset": 4076256 // index into interferer file at which to extract sample }, { // etc, up to three interferers } ], "dataset": "train", // the dataset to which the scene belongs: train, dev or eval "duration": 261119, // total duration of scene in samples "SNR": 6.89 // targe SNR for the scene }, ... ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room. The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section D.9). Noise interferers are labelled with a type “music”, “noise” or “speech” and then have a unique name identifying the file. For speech: <ACCENT_CODE>_<SPEAKER_ID> where ACCENT_CODE is a three letter code identify the accent region and gender of the speaker and SPEAKER_ID is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK midlands accented female, speaker 02484. The speech comes from Demirshan et al. [1] which provides more details.For noise: CIN_<NOISE_TYPE>_<NOISE_ID> where NOISE_TYPE is one of dishwasher, fan, hairdryer, kettle, microwave, vacuum (vacuum cleaner) or washing (washing machine) and NOISE_ID is a unique 3-digit code for the sample.For music: track_<TRACK_ID> where TRACK_ID is unique 7-digit track identifier taken from the MTG Jamendo database. [2] Given the type and name, further interferer metadata can be found in the files masker_speech_list.json, masker_noise_list.json and masker_music_list.json which are distributed with the challenge. "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d9-listener-metadata","content":" Audiogram data is stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ … ], }, "L0002": { ... }, ... } Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS "},{"title":"D.10 Scene-Listener map​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d10-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003", "L0005", "L0007"], ... } "},{"title":"References​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#references","content":" Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, Avialable OnlineBogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", Available Online "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cpc1/software/cpc1_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#a-scene-generator","content":" The scene generator is fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, BRIRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid processor is based on openMHA [1] but with a Python wrapper. The python code configures openMHA with a Camfit compressive fitting [2] for a specific listener’s audiogram. This configuration of openMHA includes multiband dynamic compression, non-adaptive differential processing and a softclip plugin. The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly. The main inputs and outputs for the processor are as follows: Inputs: Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in ‘scenes_listeners.json’ and an entry in the listener metadata json file ‘listeners.json’ for that IDOutputs: The stereo hearing aid output signal, <scene>_<listener>_HA-output.wav "},{"title":"C. Hearing Loss model​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#c-hearing-loss-model","content":" Open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge (e.g., [3]). Inputs: A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears).Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"D. Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#d-speech-intelligibility-model","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI; [4]). This is an experimental baseline tool that is level-independent. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#references","content":" Kayser, H., Herzke, T., Maanen, P., Pavlovic, C. and Hohmann, V., 2019. Open Master Hearing Aid (openMHA): An integrated platform for hearing aid research. Journal of the Acoustical Society of America, 146(4), pp. 2879-2879.Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"Registration","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_registration","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Registration","url":"docs/cpc1/taking_part/cpc1_registration#registration","content":" Please use this Google form to register. Please submit one form per team, i.e., providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. Please register early to help us organise the challenge. "},{"title":"Google group​","type":1,"pageTitle":"Registration","url":"docs/cpc1/taking_part/cpc1_registration#google-group","content":" If you haven't done so already, please sign up to Clarity's Google group to keep up to date with the challenges. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cpc1/cpc1_results#prizes","content":" The Hearing Industry Research Consortium prizes for best system were awarded as follows: 1st place: System E33, Zezario et al, MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids for best performance for a non-intrusive system, 2nd place: System E30, Huckvale et al, ELO-SPHERES Intelligibility Prediction Model for the Clarity Prediction Challenge 2022 for best performance of an intrusive system, 3rd place: System E019, Röttges et al., Speech Intelligibility Prediction for Hearing-Impaired Listeners with the bBSIM-STI Model for best performance in the open-set track The Hearing Industry Research Consortium prizes for best student contribution were awarded as follows: 1st place: Ryandhimas Zezario from the National Taiwan University, 2nd place: Franklin Yohan Alvarez Cardinale from Medizinische Hochschule Hannover, Germany 3rd place: Jana Rossbach from Carl von Ossietzky University, Oldenburg, Germany. Congratulations to the winners! (Note, systems E29 and E32 had links to the organizers and so were not eligible for prizes). "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cpc1/taking_part/cpc1_prizes#the-team-prize","content":" There will be separate prizes for the top contributions by students and non-students.There will be a separate prize for the best performing non-intrusive model.Students eligible for the prize are expected to have made a significant contribution and be first author on the workshop paper.Team prizes have been made available by the generosity of the Hearing Industry Research Consortium. General prize 1st Place $1000 2nd Place $500 3rd Place $250 Student prize 1st Place $1000 2nd Place $500 3rd Place $250 info The 1st Clarity Prediction Challenge has now finished. For the details of the systems submitted, results and prize winners, please visit the Clarity-2022 Workshop website. "},{"title":"Contact Us","type":0,"sectionRef":"#","url":"docs/contact","content":"","keywords":""},{"title":"Send us an email​","type":1,"pageTitle":"Contact Us","url":"docs/contact#send-us-an-email","content":" You can contact the Clarity Team by email at claritychallengecontact@gmail.com "},{"title":"Join the Google group​","type":1,"pageTitle":"Contact Us","url":"docs/contact#join-the-google-group","content":" If you wish to stay updated with Clarity Challenges please sign up the Clarity Challenge’s Google group "},{"title":"Rules","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#teams","content":" Teams must have registered and nominated a contact person.Teams can be from one or more institutions.Teams can comprise up to 10 persons.The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system(s)/model(s) and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.If a group of people submits multiple entries, they cannot win more than one prize in a given category.All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced. "},{"title":"Intellectual property​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"What information can I use?​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#training-and-development","content":" For Track 1 (closed-set), teams should use the signals and listener responses provided in the CPC1.train.json file.Track 2 (open-set), teams should use the signals and listener responses provided in the smaller CPC1.train_indep.json. In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The FAQ gives links to some models that might be used for this. Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#evaluation","content":" The only data that can be used by the prediction model(s) during evaluation are The output of the hearing aid processor/system.The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata.The prompt for the utterances (the text the actors were given to read) If you use text from the speech prompts as part of evaluating the systems, we will classify that as an intrusive method for the purpose of awarding prizes. "},{"title":"Baseline models and computational restrictions​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#baseline-models-and-computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.There is no limit on computational cost.Models can be non-causal. "},{"title":"What sort of model do I create?​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#what-sort-of-model-do-i-create","content":" You can create either a single prediction model that calculates speech intelligibility given a listener's hearing characteristics (that is, the metadata provided), or you can submit separate models of hearing loss and speech intelligibility.You should report the speech intelligibility for the whole sentence for each audio sample/listener combination. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#submitting-multiple-entries","content":" If you wish to submit multiple entries, All systems/models must be submitted for evaluation.Your systems must have significant differences in their approach.You must register multiple teams, submitting each entry as a different team.In your documentation, you must make it clear how the submissions differ. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#evaluation-of-systems","content":" Entries will be ranked according to their performance in predicting measured intelligibility scores. "},{"title":"Baseline system","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_baseline","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"Baseline system","url":"docs/cpc2/cpc2_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (haspi) version 2. Speech Communication, 131, pp.35-46. "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_dates","content":"Important Dates All dates are to be intended anywhere on earth time (AoE). 1st March 2023: Launch of challenge, release of data.1st July 2023: Release of evaluation data and opening of submission window.31st July 2023: Submission deadline. All entrants must have submitted their predictions plus a draft of their technical report. Scores will be returned to entrants within 24 hours of submission. 19th August 2023: Clarity 2023 workshop.19th September 2023: Deadline for submission of finalised Workshop papers Please note that while workshop attendance is not a pre-requisite for participation in the challenge, we strongly encourage all entrants to attend the workshop to present their work.","keywords":""},{"title":"CEC2 Rules","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions.The organisers may enter the challenge themselves but will not be eligible to win prizes. "},{"title":"Transparency​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Anonymous entries are allowed but will not be eligible for prizes.Teams may reserve the right to be referred to using anonymous code names in the published rank ordering. "},{"title":"What information can I use?​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#training-and-development","content":" There is no limit on the amount of training data that can be generated using our tools and training data sets. Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation, the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferers for each hearing aid microphone).The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results).The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.)The head-rotation signal (but if used, a version of the system that does not use it should also be prepared for comparison.) "},{"title":"Computational restrictions​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#computational-restrictions","content":" Teams may choose to use all, some or none of the parts of the baseline model.Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#submitting-multiple-entries","content":" You can submit two entries, where one is optimised for HASPI and the other for listening tests if you wish. In this case: Both systems must be submitted for HASPI evaluation.You must register two teams, submitting each entry as a different team.In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries.head-rotation: if the head-rotation signal is used then a second entry must be submitted that does not use it and allows the benefit to be measured. We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#evaluation-of-systems","content":" "},{"title":"Stage 1: Objective evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#stage-1-objective-evaluation","content":" Entries will be ranked according to average HASPI score across all signals in the evaluation dataset. We will use the HASPI implementation in the baseline system. "},{"title":"Stage 2: Listening test evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#stage-2-listening-test-evaluation","content":" There is a limit on how many systems can be evaluated by the listener panel.A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches.We will choose which will go to the listener panel based on The top N scored using the objective metric HASPI.A sample of M others that use contrasting and promising approaches. "},{"title":"Intellectual property​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive licence to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"Obtaining the data","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_download","content":"Obtaining the data The following challenge data are available for download: The challenge data is available for download as a single 11 GB file, clarity_CPC2_data.v1_1.tgz.The evaluation data is now available for download as a single 478 MB file, clarity_CPC2_data.test.v1_0.tgz. The evaluation data should be untarred into the same root as the training data. The Github repository containing the baseline code is here. The repository contains code for CPC2 and also for the earlier enhancement and prediction challenges, i.e., CEC1, CEC2 and CPC1. You will find all the necessary instructions for installing the data and running the baseline system.","keywords":""},{"title":"The 2nd Clarity Prediction Challenge","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_intro","content":"","keywords":""},{"title":"Short Description​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#short-description","content":" The task involves estimating the intelligibility of speech-in-noise signals that have been processed by hearing aid algorithms and presented to listeners with hearing loss. Each signal contains a short sentence that the listeners were asked to repeat. The system you build needs to be able to predict how many of the words were recognised correctly by the listeners. It is not expected that systems can do this accurately on a per sentence basis, but rather we will rank systems on this basis of how well they perform over a large evaluation set, i.e., which system produces the lowest average estimation error. The hearing aid signals being assessed vary widely in quality. Examples of good, fair and poor signals are provided below. Your prediction algorithm needs to be able to cope with this variation. Good\tFair\tPoor Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. "},{"title":"The data​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#the-data","content":" You will be provided with a set of training data which you can use to develop your systems. This data consists of Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The corresponding clean reference signals (the original speech);Characteristics of the listeners (pure tone audiograms, etc);The measured speech intelligibility scores from listening tests, where the listener was asked to say what they heard after listening to the hearing aid processed signal. For full details of the data see the Data page. "},{"title":"The task​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#the-task","content":" You will be provided with an evaluation set containing Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The audiogram of a listener;The clean reference signal (the original speech). Your task will be to produce a score (0.0 to 1.0), which should predict the proportion of words in the reference signal that the listener would be able to repeat correctly after listening to the hearing aid processed signal. We will be considering two types of system: intrusive and non-intrusive. Intrusive systems (also known as double-ended) are those that require a clean speech reference, and non-intrusive systems (also known as single-ended) are those that use the hearing aid output alone. Intrusive and non-intrusive systems will be separately ranked according to the RMSE between their predictions and the true values. To help you get started we have provided a baseline system that uses the HASPI metric to predict the speech intelligibility score. Details of this system are available on the Baseline page. For full details of the task see the rules page. "},{"title":"Registering and submitting​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#registering-and-submitting","content":" To take part in the challenge you will need to register your team and download the data. Entrants will have until 31st July to complete their submissions. Full instructions for submission are available on the Submission page. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cpc2/cpc2_results#prizes","content":" The Hearing Industry Research Consortium best system prizes were awarded as follows: 1st place: Cuervo and Marxer, Temporal-heirarchical features from noise-robust speech foundation models for non-intrusive intelligibility prediction 2nd place: Mogridge, Close, Sutherland, Goetze and Ragni, Pre-training intermediate ASR features and Human memory simulation for non-intrusive speech intelligibility prediction in the Clarity Prediction Challenge 2 (Note, although 1st and 2nd place systems had very similar RMSE scores, a paired t-test showed that the difference was highly significant). Congratulations to the winners! "},{"title":"FAQ","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"Data Specification","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_data","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#overview","content":" The training data essentially consists of signals and corresponding listener responses that you can use to train a prediction model. To maximise the value of the data we have imposed a cross-validation evaluation design: The training data has been split into three partitions, train.1, train.2 and train.3 which are paired with three disjoint evaluation partitions eval.1, eval.2 and eval.3 which will be released. You are asked to train three versions of your final system, i.e., one for each training data subset. This will ensure that we can evaluate your system on unseen listeners and hearing aid systems. Note, some signals and responses come from CEC1 and some from CEC2. CEC1 used simple scenes with a single interferer; CEC2 had multiple interferers. The evaluation data will only use CEC2 scenes. "},{"title":"The hearing aid output signals​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-hearing-aid-output-signals","content":" The hearing aid output signals are stored under clarity_data/HA_output and separated into three separate directories, train.1, train.2 and train.3. Each of these directories contains two subdirectories, CEC1 and CEC2, which contain the hearing aid output signals from the CEC1 and CEC2 datasets respectively. The signals are stored in 16-bit stereo WAV format, with a sampling rate of 32 kHz. The signals are named according to the following convention: <SCENE_ID>_<LISTENER_ID>_<SYSTEM_ID>.wav # e.g., S09463_L0242_E009.wav Where <SCENE_ID> is the scene identifier, <LISTENER_ID> is the listener identifier and <SYSTEM_ID> is the hearing aid system identifier. "},{"title":"The scene reference signals​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-scene-reference-signals","content":" The target reference signals and hearing aid input signals are stored under clarity_data/scenes and separated into two separate directories, CEC1 and CEC2, which contain the target reference signals from the CEC1 and CEC2 datasets respectively. (Note, data for the three training set partitions is stored in the same directory.) There are a set of stereo audio files for each scene, as follows: <SCENE_ID>_target_ref.wav # The target reference signal for the intrusiveness intelligibility prediction task <SCENE_ID>_target_anechoic.wav # The anechoic speech target signal <SCENE_ID>_target_<CHANNEL>.wav # The target speech signal for the scene <SCENE_ID>_interferer_<CHANNEL>.wav # The interfering noise for the scene <SCENE_ID>_mixed_<CHANNEL>.wav # The mixed target and interfering noise. where <SCENE_ID> is the scene identifier and <CHANNEL> can be either CH0, CH1, CH2 or CH3. The channels CH1, CH2 and CH3 are the front, middle and rear hearing aid microphones respectively (each is stereo pair). CH0 is the eardrum signal, i.e., as would be received by the listener's ear canal. Of these signals, the following is the most important: <SCENE_ID>_target_ref.wavThis is the signal that should be used as the reference for your intrusive intelligibility prediction model. Note, this is the only signal that will be available in the evaluation data. It is a non-reverberant version of the target signal aligned with the target component of the mixed signal received by the hearing aid. It has been scaled to have the same energy as the target component of the mixed signal received by the hearing aid. The remaining hearing aid input signals are provided for completeness <SCENE_ID>_mixed_<CHANNEL>.wav The noisy speech signals that were received by the hearing aid, i.e. the signals that were processed to produce the HA output signals.<SCENE_ID>_target_<CHANNEL>.wav The target speech component of the mixed signals that were received by the hearing aid.<SCENE_ID>_interferer_<CHANNEL>.wav The interfering noise component of the mixed signals that were received by the hearing aid.<SCENE_ID>_target_anechoic.wav The anechoic target speech signal (i.e., same as the target reference signal but without the correct scaling). It is not anticipated that you will necessarily need these signals for training prediction models but they have been included to help participants gain a better understanding of the data. "},{"title":"The metadata​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-metadata","content":" The metadata directory (clarity_data/metadata) stores the listener responses to the signals, the listener characteristics and metadata related to each of the scenes (e.g., interferer types, input SNR, etc.). You will find the following JSON format files, CEC1.train.1.json, CEC2.train.1.json CEC1.train.2.json, CEC2.train.2.json CEC1.train.3.json, CEC2.train.3.json listeners.json scenes.CEC1.json, scenes.CEC2.json The contents of these files are as follows. "},{"title":"The listener responses (CECx.train.x.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-listener-responses-cecxtrainxjson","content":" The CEC1.train.x.json and CEC2.train.x.json files contains a list of dictionaries, each describing a listener response to a signal. The fields are as follows: CEC<x>.train.<y>.json [ { "prompt": "i don't want us to apportion blame she said", "scene": "S08547", "n_words": 9, "hits": 4, "listener": "L0239", "system": "E001", "correctness": 44.4444444444, "response": "i don't want to have to report he said", "volume": 56, "signal": "S08547_L0239_E001" }, // ... etc ] In the above, signal identifies the hearing aid output signal that you will find in the the HA_outputs\\train.1\\CEC1 or HA_outputs\\train.1\\CEC2 directorieslistener is the ID of the listener who provided the response. Using this you can look up the listener's audiogram in the listeners.json file.correctness is the percentage of words that the listener correctly identified. This is the number that you are being asked to predict.volume is the value of the volume control on the hearing aid that the listener used to listen to the signal. This is on a scale of 0 to 100 and was set by default to 50 but listeners were free to adjust it at the start of each session to achieve a comfortable listening level. "},{"title":"The listener characteristics (listeners.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-listener-characteristics-listenersjson","content":" The listeners.json provides the pure tone audiogram of the left and right ear of each listener. This is stored as a dictionary with the listener ID as the key to facilitate easy look-up. For each listener the audiogram is stored as a list of frequencies and the corresponding list of levels for the left and right ear. The frequencies are in Hz and the levels are in dB HL. listeners.json { "L0200": { "name": "L0200", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [35, 30, 25, 50, 55, 65, 70, 65], "audiogram_levels_r": [45, 40, 35, 60, 65, 75, 80, 75], }, // ... etc } Note, listener audiograms will also be provided in the evaluation data, however, the listeners in the evaluation sets will not overlap with listeners in the corresponding training sets, i.e., your predictions systems are expected to be able generalise to new listeners. "},{"title":"The scene metadata (scenes.CECx.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-scene-metadata-scenescecxjson","content":" The scene metadata contains information about the scene, the target and interfering noise signals, and the SNR of the mixed signal, etc. The data will not be available for the evaluation signals and is being provided here for context and to help participants gain an understanding of the signals. For a complete description of the scene metadata please see the documentation for the CEC1 and CEC2 challenges. The scenes.CEC1.json has the format described here, and the scenes.CEC2.json has the format described here. "},{"title":"Submission","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#registration","content":" Teams are required to register to help us organise the challenge. Registered teams will be assigned a unique team ID. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems. The evaluation data is available for download here clarity_CPC1_data.test.v1.tgz. See the download page for more details. Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours for of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results. "},{"title":"What do I need to submit?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#what-do-i-need-to-submit","content":" All teams must submit Their predicted intelligibility scoresAn Interspeech paper describing their work (encouraged)A two page technical report (mandatory) "},{"title":"The predicted intellgibility scores​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#the-predicted-intellgibility-scores","content":" You must submit your predicted intelligibility scores for the signals provided. The predictions should be sent in CSV format files with two columns: signal_ID, intelligibility_score Where the signal_ID is the unique signal identifier used for the wav file name (e.g., S08510_L0239_E001) and intelligibility_score is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., for 0 to 100). Your CSV files should be named as follows CPC1_<TEAM_ID>.test.csv and CPC1_<TEAM_ID>.test_indep.csv for closed set and open set evaluations respectively, where <TEAM_ID> is your individual team ID, e.g. 'E001'. The files should be sent as email attachments to the email address: claritychallengecontact@gmail.com Please use "CPC1 Submission <TEAM_ID>" as the subject line. We also encourage you to submit your prediction model(s) code. info All registered teams will be emailed with their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline. "},{"title":"Interspeech paper submission​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#interspeech-paper-submission","content":" All teams are strongly encouraged to submit a paper describing their work to the Interspeech 2022 Special Session "Speech Intelligibility Prediction for Hearing-Impaired Listeners". Interspeech submission instructions are here https://interspeech2022.org/forauthor/submissions.php The Interspeech papers need to be initially submitted by March 21st (title and abstract), with the full paper due on March 28th. "},{"title":"The technical report​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#the-technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-CPC1-2022 Workshop. Deadline 25th April 2022. An author kit and submission instructions will be made available. A draft of the report needs to be submitted along with your predictions by 21st March. The draft needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates here. Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules. Your report should cite the following document, which provides an overview of the challenge and the baseline system: Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022. The document can be accessed here. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"CPC2 Registration","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_registration","content":"","keywords":""},{"title":"Google group​","type":1,"pageTitle":"CPC2 Registration","url":"docs/cpc2/taking_part/cpc2_registration#google-group","content":" If you haven't done so already, please sign up to Clarity's Google group to keep up to date with the challenges. "},{"title":"ICASSP 2023 More ecologically-valid eval set","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_new_evaluation","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#overview","content":" This more ecologically-valid eval set (eval2) has been designed to answer the following research question: Can systems trained on simulated data generalise to more ecologically-valid measurement data? Recordings were carried in a real room using live talkers.The talkers were recorded on both a close microphone and also a 1st-order ambisonic microphone at the listener position. Head rotations are done using the spherical harmonic representation of the sound.HRTFs are applied to get the hearing-aid microphone signals, as for the simulated datasets. The talkers were recorded in noise-free conditions.Noise, music and speech interferers were played from loudspeaker and recorded on the ambisonic microphone.The target talker and intereferer are then mixed to create a scene with a desired SNR.The random positions of the sources and receivers were achieved using the same limitations as applied to the simulated set (e.g. target talker and listener at least 1m apart) Differences between simulated and ecologically-valid datasets: Talkers speaking and behaving different when asked to talk to a distant microphone in a real room.Real room acoustic altering sound instead of simulation using geometric room acoustic model.Directivity of interferers not omni-directional.Transducer noise on the distant ambisonic microphone.Measurements had lower order Ambisonics than used in the simulations. "},{"title":"Environment​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#environment","content":" Recordings were done in the Acoustics Research Centre's listening room at the University of Salford. Mid-frequency reverberation time: 0.27sRoom dimensions: 6.6m × 5.8m × 2.8mBackground noise: 5.7 dBA Figure 1. The listening room (photo not from evaluation set recording). "},{"title":"Equipment​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#equipment","content":" Close microphone: Neumann KM184 cardioidClose microphone preamp: Alice mic.amp.pak1Ambisonic microphone: Sennheiser Ambeo VRInterface: RME Fireface UFXLoudspeaker for interferer: M-audio BX8a "},{"title":"Target speech​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#target-speech","content":" A new set of 1,600 sentences generated from the British National Corpus not previously used by Clarity. These were generated using the same process as before [1]. The sentences were read live by 10 actors: 5 male and 5 female. Ages ranged from 20 to 62.Actors were standing. The talker faced the ambisonic microphone. They were told to talk to that microphone and ignore the close microphone.Recorded in noise-free conditions.Each speaker recorded 160 unique sentences, in blocks of 10 talking positions.A cardioid microphone about 50 cm from the talker recorded the reference speech for HASPI and HASQI. "},{"title":"Interferers​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#interferers","content":" Recordings reproduced by loudspeakers.Recordings of speech, noise and muisc same sources as CEC2 evaluation set.Each interferer recorded separately on the ambisonics microphone.Loudspeaker facing ambisonic microphone "},{"title":"Listener​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#listener","content":" Recordings on a 1st order ambisonics microphone.Front of ambisonic room along x-axis of room.Head rotation done virtually via spherical harmonics with the same statistics as the training set.HRTFs applied to the ambisonic recordings using a virtual loudspeaker set-up to give the signals on the hearing aid microphones. "},{"title":"Talker, noise and listener position​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#talker-noise-and-listener-position","content":" 16 different room layouts (see Figure 2) with random talker, interferer and listener positions. These positions determined using the same protocol as used for the simulation. A block of 10 sentences read for each layout.Sources and receivers at the same height (but some variation in the talker z-coordinate because of height differences in the actors). Figure 2. The 16 layouts. T talker; A ambisonic mic; N noise interferer; S speech interferer; M music interferer. "},{"title":"Publication​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#publication","content":" The target speech and interferers will be mixed to gain the desired signal to noise ratio using the same process as for the simulation set. The dataset will be available 1st February 2023. "},{"title":"Example recordings​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#example-recordings","content":" Recording of script reading by someone not used for the evaluation set. The audio starts 3-4 seconds into the recording. Close microphone: Your browser does not support the audio element. Ambisonic microphone, A-format: Front-left-up: Your browser does not support the audio element. Front-right-down: Your browser does not support the audio element. Back-left-down: Your browser does not support the audio element. Back-right-up: Your browser does not support the audio element. "},{"title":"References​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#references","content":" [1] Graetzer, S., Akeroyd, M.A., Barker, J., Cox, T.J., Culling, J.F., Naylor, G., Porter, E. and Viveros-Muñoz, R., 2022. Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus. Data in Brief, 41, p.107951. "},{"title":"CPC1 Data","type":0,"sectionRef":"#","url":"docs/cpc1/data/cpc1_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#a-training-development-evaluation-data","content":" The dataset is split into these two subsets: training/development (train) and evaluation (eval). You are responsible for splitting the training/development dataset into data for training and development, e.g., using k-fold cross validation.The final evaluation and ranking will be performed with the (held-out) evaluation set.For more information on supplementing the training data, please see the rules, and also the FAQ. The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b-the-scene-dataset","content":" The complete dataset is composed of a large number of scenes associated with 6 talkers, 10 hearing aid systems and around 25 listeners. Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training/development and evaluation sets are disjoint for system and listener. Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used. RAVEN is the geometric room acoustic model used to create the BRIR. "},{"title":"B.1 Training/development data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b1-trainingdevelopment-data","content":" This contains all the information about how the signals processed by the hearing aids were created. For the prediction challenge, some of the data can be ignored (but is included because some may find it useful). Data and metadata most useful for the prediction challenge: The output of the hearing aid processor.The target convolved with the anechoic Binaural Room Impulse Response (BRIR) (channel 1) for each ear (‘target_anechoic’).The mono target and interferer signals (pre-convolution).Prompts of the utterances (what the actors were told to say)Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files. For evaluation not all of the data is available, see below. Other information also provided, click me to expand Data used to create inputs to hearing aids, etc: The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).Head Related Impulse Responses (HRIRs) including those corresponding to the target azimuth.For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate BRIR;The interferer convolved with the appropriate BRIR;The sum of the target and interferer convolved with the appropriate BRIRs. The BRIRs are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone; the premixed target signal convolved with the BRIR with the reflections “turned off”). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. The RAVEN project files - termed "rpf" - are specification files for the geometric room acoustic model that include a complete description of the room. "},{"title":"B.2 Evaluation scene data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b2-evaluation-scene-data","content":" For each scene in the evaluation data only the following will be available: The output of the hearing aid processor.The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata.The prompt for the utterances (the text the actors were given to read) "},{"title":"C Listener data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of our listening panel. The listening panel data will be split, so that the listeners in the held back evaluation data are different from those provided in the training and development data. The listening panel are experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English. For every listener, you will be given the left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound. For some listeners you will be provided with additional characterisation of their hearing. Consequently, if you wish to exploit this additional data, you will need to deal with the missing data. See the FAQ for more on missing data. Below is a description of each measure. SSQ12 - Speech, Spatial, & Qualities of Hearing questionnaire, 12-question version​ This is a popular self-assessment questionnaire of hearing disability. Each item asks about listening situations typical of real life and asks how well a listener would do in it. The SSQ assesses ability to make successful use of one’s hearing (i.e. hearing disability, or activity limitation). This is an intermediate link between the audiological measurement of someone's hearing loss (i.e. their impairment) and a patient's assessment of how that hearing loss impacts their wider life (i.e. their handicap, or participation restriction). The 12 questions are given in table 1 of this paper and FYI a recent paper that used it is here. Responses to each question are on a scale from 0 to 10, with 0 representing "not at all" (or "jumbled"/"concentrate hard" for #11 & #12), and 10 representing "perfect" (or "not jumbled"/"no need to concentrate"). We programmed this as a visual-analog slider, which the participant could set to any position from 0 to 10. The SSQ12 data supplied are the responses to each question, from 0-10 at 1 decimal place resolution, along with the mean of all 12 questions. GHAPB - Glasgow hearing-aid benefit profile questionnaire​ This is designed to assess the efficacy and effectiveness of someone's hearing aid(s) in different scenarios. It asks respondents to consider four scenarios involving speech and to rate on a five-point scale their perceived initial (i.e. unaided) hearing disability, initial handicap, aided benefit, aided handicap, hearing aid use, and hearing aid satisfaction. The listening panel are experienced hearing-aid users, so some of the rating would be about their normal hearing aid. This paper describes the GHABP and provides some normative data. For each scenario, the participant is asked a primary question about if a situation happens to them (relatable). If they answer No, it moves onto to the next scenario.Yes, then a list of six secondary questions are asked (see figure below) If one of the secondary questions is not relatable to the participant, they're asked to respond "N/A" for not applicable. Figure 2. The GHAPB questionnaire. There are four scenarios: listening to the television when the volume is adjusted for others.Having a conversation with one person in quiet.Having a conversation on a busy street or in a shop.Having a conversation with several people in a group. In the datafile, the question numbers are coded as x.y where x is the scenario number and y the secondary question number. If the answer to primary questions is No, then all the secondary questions are coded as 0. If the answer to primary questions is Yes, then each subsequent question is scored as 0. = N/A = first option in the list (eg "no difficulty")= second= third= fourth= fifth (e.g. "cannot manage at all") There is no global score for the GHABP. The six secondary questions ask about different things and so should not be averaged across questions, though it is fairly common to average within-question across scenario. DTT (digit-triplet test, also known as a triple digit test)​ This is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al's high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations in Filenames​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d1-abbreviations-in-filenames","content":" R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d2-general","content":" Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate.Where stereo signals are provided, the two channels represent the left and right signals of the ear or hearing aid microphones.HRIRs have a sampling rate of 48 kHz.Metadata will be stored in JSON format wherever possible.Room descriptions are stored as RAVEN project ‘rpf’ configuration files.Signals are saved within the Python code as 32-bit floating point by default. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was supposed to be spoken as presented to the readers.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Timing in audio files​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d4-timing-in-audio-files","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"D.5 Source audio files​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d5-source-audio-files","content":" Wav files containing the original source materials.Could be used as the clean speech reference in an intrusive (double-ended) prediction modelOriginal target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.6 Preprocessed scene signals​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d6-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone ready for processing.Target_anechoic could be used as the clean speech reference in an intrusive (double-ended) prediction model.Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav <Scene ID>_interferer_<Channel ID>.wav <Scene ID>_mixed_<Channel ID>.wav <Scene ID>_target_anechoic.wav Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone "},{"title":"D.7 Enhanced signals​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d7-enhanced-signals","content":" These are the audio signals that the listeners heard during the speech intelligibility testing. The signals that are output by a given enhancement (hearing aid) model or system. <Entrant ID>_<Scene ID>_<Listener ID>_HA-output.wav # HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L200 to L244. "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d8-scene-metadata","content":" A JSON file called scenes.CPC1_train.json containing a description of each scene that is used in the listening experiments. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight. scenes.json [ { "scene": "S00001", "room": { "name": "R00001", "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres }, "SNR": 3.8356, "hrirfilename": "VP_N5-ED", // HRIR filename "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "Positions": [ -0.5, 3.4, 1.2 ], "ViewVectors": [ 0.291, -0.957, 0 ], "name": "T022_HCS_00002", // target speaker code and BNCid "nsamples": 153468, // length of target speech in samples }, "listener": { "Positions": [ 0.2, 1.1, 1.2 ], "ViewVectors": [ -0.414, 0.91, 0 ] }, "interferer": { "Positions": [ 0.4, 3.2, 1.2 ], "name": "CIN_dishwasher_012", // interferer name "nsamples": 1190700, // interferer length in samples "duration": 27, // interferer duration in seconds "type": "noise", // interferer type: noise or speech "offset": 182115, // interferer segment starts at n samples from beginning of recording }, "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver "dataset": "train", // dataset: train, dev or eval/test "pre_samples": 88200, // number of samples of interferer before target onset "post_samples": 44100 // number of samples of interferer after target offset }, { // ... etc. } ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.Note that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same.A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files.The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file.Non-speech interferers are labelled CIN_<noise type>_XXX, while speech interferers are labelled <three letter code including dialect and talker gender>_XXXXX . "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d9-listener-metadata","content":" Listener audiogram data stored in a single JSON file called listeners.CPC1_train.json with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [10, 15, 25, 40, 50, 65, 65, 70 ], }, "L0002": { // ... etc. }, // ... etc. } A spreadsheet named listener_data.CPC1_train.xlsx containing the SSQ12, GHAPB, DTT data for each listener where it is available. "},{"title":"D.10 Listener intelligibility data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d10-listener-intelligibility-data","content":" JSON files CPC1.train.json (for Track 1) and CPC1.train_indep.json (for Track 2) which provides the responses made by the listeners when presented with a particular scene processed by a particular system. The data is a simple list of dictionaries with one entry for each listener response CPC1.tran.json [ { "scene":"S08510", // The identity of the scene "listener":"L0239", // The identity of the listener "system":"E001", // The identify of the HA system "prompt":"i suppose you wouldn't be free for dinner this evening", // The target sentence (prompt) "response":"freeze evening", // The listeners response (transcript) "n_words":10, // Number of words in the target sentence "hits":1, // Number of words recognised correctly "correctness":10.0, // The percentage of words recognised correctly "signal":"S08510_L0239_E001" // The name of the file containing the signal listened to. }, { // ... etc. }, // ... etc. ] "},{"title":"E. Reproduction Levels​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#e-reproduction-levels","content":" The graph gives the SPL from one of our headsets based on the volume level of the tablet. The input signal was ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3. Figure 3. Headset SPL by tablet volume level. "},{"title":"References​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#references","content":" [1] ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"FAQ for CPC2","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsupervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantify the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"ICASSP 2023 Clarity Challenge Schedule","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_dates","content":"ICASSP 2023 Clarity Challenge Schedule Key dates are as follows 28th Nov 2022: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session","keywords":""},{"title":"Scene Generation","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_scene_generation","content":"","keywords":""},{"title":"The scenario​","type":1,"pageTitle":"Scene Generation","url":"docs/icassp2023/data/icassp2023_scene_generation#the-scenario","content":" The scenario is someone listening to a target speaker in a room with two or three interfering sound sources (Figure 1). The scenes are described by a large number of randomised parameters: The room size and materials (which create moderate reverberation typical of a living room).The identity of the target talker (one of 40 possible speakers).The 7-10 word sentence being uttered by the target talker.The listener, target talker and noise interferer locations.The head orientation of the listener. Initially, the listener is not facing the target talker, but around the time the target speech starts, the listener rotates their head to face the target approximately.The interferer sound samples, which can be a: stream of competing speech; continuous domestic noise source (e.g., a washing machine); or music source.The speech onset and offset times.While scene generating software is provided, we anticipate most entrants would use our database of pre-mixed signals. The website will provide a full description of the scene generation.The main audio signals provided are for 3 microphones on two Behind-The-Ear (BTE) hearing aids (left and right ear). While scene generating software is provided, we anticipate most entrants would use our database of pre-mixed signals. The website will provide a full description of the scene generation. The main audio signals provided are for 3 microphones on two Behind-The-Ear (BTE) hearing aids (left and right ear). Figure 1. An example scenario with two noise interferers. "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cpc2/taking_part/cpc2_prizes#the-team-prize","content":" There will be a separate prize for the top two systems.Prizes have been made available by the generosity of the Hearing Industry Research Consortium. 1st Place £700 (GBP) 2nd Place £350 (GBP) info The 2nd Clarity Prediction Challenge has now finished. For the details of the systems submitted, results and prize winners, please visit the Clarity-2023 Workshop website. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cpc1/data/cpc1_scenario","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#overview","content":" This page details the scenario that we have simulated to create the speech-in-noise samples, which were processed by the (simulated) hearing aids. The processed signals were played to listeners in listening tests to obtain the measured speech intelligibility scores. It is perfectly possible to compete in the prediction challenge without knowing the information provided on this page, it provides context. You could just work with the processed signals from the hearing aids and the listening test scores. However, some will find this information useful, for example, because it might inform the sourcing or creation of additional data, for example to be used for unsupervised pre-training. "},{"title":"Simulating the audio signals that were processed by the hearing aids​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#simulating-the-audio-signals-that-were-processed-by-the-hearing-aids","content":" A listener (or receiver) is in a small room that has low to moderate reverberation. They are listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity sentences. Simultaneously, an interferer sound is playing. This is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). An example of the scenario is shown in Figure 1. The room geometry showing origin location is defined in Figure 2. Example SceneRoom Geometry Figure 1. Example scene. Figure 3, below, shows the basic scene generator. The sound at the receiver is generated first by convolving the source signals with Binaural Room Impulse Responses (BRIRs). This generates reverberated speech and noise that includes the effects of the room and reflections from the listener's head. The reverberated speech and noise signals are then summed after appropriate gains are applied. The gains are set to achieve a Signal-to-Noise Ratio (SNR), which is chosen randomly between limits. The BRIRs are generated using the RAVEN Geometric Room Acoustic Model [1]. There are additional signal paths and outputs generated that have been omitted from Figure 3 for clarity. In addition to the reverberated signals associated with the hearing aid microphones, the signal close to the eardrum is also generated. You can also access the reverberated speech and noise signals before they are mixed. Figure 3. Simplified diagram of the scene generator. RIR refers to Room Impulse Response, HRTFs refers to Head Related Transfer Functions, SNRs are signal-to-noise ratios, and gain calc. indicates gain calculation. Dry here means anechoic. The outputs are noisy speech signals. "},{"title":"Room Geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#room-geometry","content":" Cuboid rooms with dimensions length, LLL, by width, WWW, by height, HHH.Length LLL set using a uniform probability distribution random number generator with 3≤L(m)≤83 \\le L (m) \\le 83≤L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7m2.7 m2.7m and standard deviation of 0.8m0.8 m0.8m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7m217.7 m^217.7m2 and standard deviation of 5.5m25.5 m^25.5m2. "},{"title":"Room Materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least at 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The receiver​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-receiver","content":" The receiver has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). The reciver can have one of two heights (seated or standing height). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2m1.2 m1.2m (sitting) or 1.6m1.6 m1.6m (standing). The receiver is positioned so as to be roughly facing the target talker. That is to say, within ±30\\pm 30±30 degrees of target. The angle = 7.5n7.5n7.5n where nnn is an integer and ∣n∣≤4|n| \\le 4∣n∣≤4. "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. "},{"title":"The interferer​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-interferer","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) The interferer is a single point source radiating speech or non-speech noise omnidirectionally. It is placed within the room using uniform probability distribution random number generators for the coordinates. These constraints ensure the interferer is not too close to the wall or receiver. It is set to be at the same height as the receiver. Note, this means that the interferer can be at any angle relative to the receiver. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ "},{"title":"Timing​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#timing","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"Signal-to-Noise Ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#signal-to-noise-ratio-snr","content":" The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. Note that the interferer can be at any azimuth from the point of view of the listener/receiver. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen using a uniform probability distribution random number generator between the limits of ranges specified for the speech and non-speech interferers. The calculation is based on the ear that has the better signal to noise ratio, as this mimics the better ear effect in binaural listening, where listeners focus on the ear that has the best SNR. The better ear SNR (BE_SNR) is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the interferer that overlaps with the target (without padding) , i‘, and the target (without padding), t‘, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i‘ and t’ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The whole interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050];Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001]; Figure 4, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"ICASSP 2023 Data","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_data","content":"","keywords":""},{"title":"A. Training, development and evaluation data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#a-training-development-and-evaluation-data","content":" The dataset of 10,000 simulated scenes is split into three sets: 6000 training scenes (available now)2500 development scenes (available now)1500 evaluation scenes (released 1st Feb. 2023) In addition there will be: A secondary 'real data' evaluation set that will be based on real ecologically-valid recordings and so can highlight the generalizability of the entrants’ approaches beyond the simulations (released 1st February 2023). More information. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b-the-scene-dataset","content":" For the dataset of 10,000 simulated scenes Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers.The training, development and evaluation sets are disjoint with respect to the target speakers.Sets are balanced for the gender of the target talker.Entrants must not use the development or evaluation data sets for training.The system submitted should be chosen on the evidence provided by the development set. For evaluation The final ranking will be performed with the (held-out) evaluation sets.Neither evaluation datasets (simulation nor real) have been used in previous Clarity challenges. The secondary 'real data' evaluation set will be made using real acoustic mixtures but using loudspeaker playback of target talkers so that the reference speech can be extracted as needed by the objective metrics. For the training and development set, entrants have access to a diverse range of signals and metadata, with the most important being: The hearing aid microphone signalsThe hearing characteristics of the listener (e.g. audiogram)The anechoic target reference and interferer signals. For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files. For evaluation, the data available is more limited, i.e., The hearing aid microphone signalsThe hearing characteristics of the listener (e.g. audiogram)The anechoic target reference signal which will be used by the organisers but not released to entrants. High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on scene generation for more details. Time-domain acoustic signals are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files and ac files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials. "},{"title":"B.1 Training data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears).The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate HOA-IRs and downmixed;The interferers convolved with the appropriate HOA-IRs and downmixed;The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid) The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (‘target_anechoic’). For use as a reference when computing HASPI scores.Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.A signal describing the head rotation (i.e. azimuthal angle at each sample) "},{"title":"B.2 Development data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b2-development-data","content":" This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set) Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended. Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section B.3). When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below). "},{"title":"B.3 Simulated Evaluation data (eval1)​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b3-simulated-evaluation-data--eval1","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)Speaker adaptation sentence - 4 clean utterances for each target speaker. One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities: The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture.The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics. These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking. "},{"title":"B.4 Real Evaluation data (eval2)​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b4-real-evaluation-data-eval2","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.Speaker adaptation sentence - 4 clean utterances for each target speaker.Further details to be confirmed. "},{"title":"C Listener data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them. The same types of data are available for training, development and evaluation. A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English. The quantification of the listeners’ hearing is done with: Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound.Results from the DTT (digit-triplet test, also known as a triple digit test)​ The audiogram is the standard clinical measurement of hearing ability. It’s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., British Society of Audiology Recommended Procedure. Typically it’s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. CAMFIT, NAL-NL2 or DSL . Note that the scale of an audiogram is in “dB HL” = “dB Hearing Level”. This is not dB SPL; instead, it’s relative to an international standard such that 0-dB is “normal hearing” at every frequency. For background see Why the Audiogram Is Upside-down | The Hearing Review and The Quest for Audiometric Zero | The Hearing Review The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al.'s high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations used in filenames​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d1-abbreviations-used-in-filenames","content":" The following abbreviations are used consistently throughout the filenames and references in the metadata. R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d2-general","content":" Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones.0 dB FS in the audio signals corresponds to 100 dB SPL.Metadata will be stored in JSON or csv format as appropriate with the exception of Room descriptions are stored as RAVEN project ‘rpf’ configuration files and ‘ac’ files. (However, key details are reflected in the scene.json files) Signals are saved within the Python code as 32-bit floating point by default.Output signals for the listening tests will be required to be in 16-bit format. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was given to the talkers to say.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d4-source-audio-files","content":" Wav files containing the original source materials. Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav<Scene ID>_interferer_<Channel ID>.wav<Scene ID>_mixed_<Channel ID>.wav<Scene ID>_target_anechoic.wav - at hearing device front microphone<Scene ID>_hr.wav - head rotation signal Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone The anechoic signal is the signal that will be used as the referernce in the HASPI evaluation. The head rotation signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured. "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d6-enhanced-signals","content":" The signals that are output by the baseline enhancement algorithm. <Scene ID>_<Listener ID>_enhanced.wav # Enhancement output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. "},{"title":"D.7 Hearing-aid output signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d7-hearing-aid-output-signals","content":" <Scene ID>_<Listener ID>_HA-output.wav # i.e., the enhanced signals after processing with the supplied hearing aid amplification. Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. "},{"title":"D.8 Room metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d8-room-metadata","content":" JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene. rooms.json [ { "name": "R00001", // ID of room linking to RAVEN rpf and ac files "dimensions": "6.9933x3x3", // Room dimensions in metres "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "position": [-0.3, 2.4, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "listener": { "position": [-0.1, 5.2, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "interferers": [ { "position": [0.4, 4.0, 1.2], }, { // etc, up to three interferers } ], }, ... ] "},{"title":"D.9 Scene metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d9-scene-metadata","content":" JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section D.7) plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings. scenes.json [ { "scene": "S00001", // the unique scene ID "room":: "R00001", // ID of room linking to rooms.json "target": { "name": "T005_JYD_04274", // target speaker code and BNCid "time_start": 107210, // start time of target in samples "time_end": 217019 // end time of target in samples }, "listener": { "rotation": [ // Defines the head motion - list of time, direction pairs { "sample": 88200, "angle": 30 // Azimuth angle in degrees }, { "sample": 176400, "angle”: 50 } ], "hrir_filename": ["VP_N4-ED", "VP_N4-BTE_fr", "VP_N4-BTE_mid", "VP_N4-BTE_rear"] // HRIR filename for each channel to generate }, "interferers": [ { "position": 1, // Index of interferer position (See rooms.json) "time_start": 0, // time of interferer onset in samples "time_end": 261119, // time of interferer offset in samples "name": "track_1353255", // interferer name "type": "music", // interferer type: speech, noise or music "offset": 4076256 // index into interferer file at which to extract sample }, { // etc, up to three interferers } ], "dataset": "train", // the dataset to which the scene belongs: train, dev or eval "duration": 261119, // total duration of scene in samples "SNR": 6.89 // targe SNR for the scene }, ... ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room. The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section D.9). Noise interferers are labelled with a type “music”, “noise” or “speech” and then have a unique name identifying the file. For speech: <ACCENT_CODE>_<SPEAKER_ID> where ACCENT_CODE is a three letter code identify the accent region and gender of the speaker and SPEAKER_ID is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK midlands accented female, speaker 02484. The speech comes from Demirshan et al. [1] which provides more details.For noise: CIN_<NOISE_TYPE>_<NOISE_ID> where NOISE_TYPE is one of dishwasher, fan, hairdryer, kettle, microwave, vacuum (vacuum cleaner) or washing (washing machine) and NOISE_ID is a unique 3-digit code for the sample.For music: track_<TRACK_ID> where TRACK_ID is unique 7-digit track identifier taken from the MTG Jamendo database. [2] Given the type and name, further interferer metadata can be found in the files masker_speech_list.json, masker_noise_list.json and masker_music_list.json which are distributed with the challenge. "},{"title":"D.10 Listener metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d10-listener-metadata","content":" Audiogram data is stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ … ], }, "L0002": { // ... etc }, // ... etc } Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS "},{"title":"D.11 Scene-Listener map​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d11-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003", "L0005", "L0007"], // ... etc } "},{"title":"References​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#references","content":" Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, Avialable OnlineBogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", Available Online "},{"title":"The Challenge Rules","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_rules","content":"","keywords":""},{"title":"What information can I use?​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#training-and-development","content":" Teams should use the signals and listener responses provided in the CPC2.train.json file. In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The FAQ gives links to some models that might be used for this. Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#evaluation","content":" The only data that can be used by the prediction model(s) during evaluation are described below. For non-intrusive methods: The output of the hearing aid processor/system.The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata. Additionally, for intrusive methods: The target reference signal, i.e. the target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The prompt for the utterances (the text the actors were given to read). "},{"title":"Baseline models and computational restrictions​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#baseline-models-and-computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.There is no limit on computational cost.Models can be non-causal. "},{"title":"What sort of model do I create?​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#what-sort-of-model-do-i-create","content":" You model should report the speech intelligibility for the whole sentence for each audio sample/listener combination, i.e. a single score that represents a prediction of the proportion of words that would be recognised correctlyThe model architecture is entirely up to you, e.g. you can create a model that attempts to recognise individual words and then reduces this down to a proportion, or you can estimate an intelligibility score directly from the audio. Models may have explicit hearing loss model stages or be trained directly to map signals and audiograms to predictions. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#submitting-multiple-entries","content":" If you wish to submit multiple entries, Your systems must have significant differences in their approach.You must contact the organisers to discuss your plans.If accepted you will be issued with multiple Team IDs to distinguish your entries.In your documentation, you must make it clear how the submissions differ. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#evaluation-of-systems","content":" Entries will be ranked according to their performance in predicting measured intelligibility scores.The system score will be taken to be the RMSE between the predicted and measured intelligibility scores across the complete test set.Separate rankings will be made for intrusive and non-intrusive methods.Systems will only be considered if the technical report has been submitted and the system is judged to be compliant with the challenge rules. "},{"title":"Teams​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#teams","content":" Teams must have registered and nominated a contact person.Teams can be from one or more institutions.The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents on the challenge website (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system(s)/model(s) and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.If a group of people submits multiple entries, they cannot win more than one prize in a given category.All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced.Teams are strongly encouraged to submit their report for presentation at the Clarity-2023 Interspeech Satellite Workshop. "},{"title":"Intellectual property​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). The entrants' “Submission” will consist of a set of intelligibility predictions and an accompanying technical report. The Challenge is organised by the “Challenge Organiser”. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"The ICASSP 2023 Clarity Challenge","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_intro","content":"","keywords":""},{"title":"Organisers​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#organisers","content":" Michael Akeroyd, Graham Naylor, University of NottinghamJon Barker, Will Bailey, Zehai Tu, University of SheffieldTrevor Cox, Simone Graetzer, University of SalfordJohn Culling, Cardiff University "},{"title":"Overview of challenge​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#overview-of-challenge","content":" Speech enhancement is a major research area with thousands of papers each year, yet only a tiny percentage of these explicitly consider improvements for listeners who have a hearing loss. Consequently, this signal processing challenge is designed to get the latest advancements in speech enhancement applied to hearing aids. Entrants are tasked to enhance speech-in-noise for input into a hearing aid amplification stage. The hearing aid will be tuned to the hearing characteristics of particular people. Thus you can enter without in-depth knowledge of hearing aids, and just concentrate on the task of de-noising. The scenario is listening to speech in the presence of typical domestic noise. We provide the signals captured by the microphones on a pair of behind-the-ear hearing aids and those captured at the eardrum. The target speech will be a short sentence. The interfering noises will be a mix of speech, domestic appliance noise and music. The audio includes the simulation of the acoustic of typical small living rooms. The challenge is to improve the speech intelligibility without excessive loss of quality. To this end, entries will be evaluated using an objective metric that is an average of the Hearing Aid Speech Perception Index (HASPI) and Hearing Aid Speech Quality Index (HASQI). "},{"title":"What is be provided​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#what-is-be-provided","content":" Premixed speech + interferer scenes for training and evaluation.Databases of target sentences, along with speech, noise and music interferers.Listener characteristics, including audiograms and speech-in-noise testing.Software including tools for augmenting training data, a baseline enhancement system, a fixed hearing aid implementation and code for scoring signals using the HASPI and HASQI hearing aid metrics. The scenario is similar to the second Clarity Enhancement Challenge but with the following key differences: Participants are asked to focus on speech enhancement only. Hearing aid processing/simulation is not part of the challengeSpeech quality (HASQI) will be assessed in conjunction with speech intelligibility (HASPI) This site provides access to all the software, data and information that you need to get started. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_results","content":"Results The Clarity ICASSP-2023 Enhancement Challenge is now complete. Results are shown below along with links to the system description papers. The table below reports the HASPI, HASQI and average (over HASPI and HASQI) scores for all the submitted systems. Results are shown for both Eval 1 (the simulated evaluation set) and Eval 2 (using the real recordings). Where a system ID ends with '_data', additional training data has been used. Those that end with '_hr' has exploitied the head rotation information. Links to the system reports are also provided. The Eval 1 average has been used to rank the systems. Rank\tTeam\tID\tPaper\tEval 1 (HASPI)\tEval 1 (HASQI)\tEval 1 (Average)\tEval 2 (HASPI)\tEval 2 (HASQI)\tEval 2 (Average)8\tBaseline\tBaseline 0.266\t0.128\t0.197\t0.176\t0.121\t0.149 9\tT001\tE002\tLink\t0.179\t0.093\t0.136\t0.101\t0.078\t0.09 7\tT002\tE009\tLink\t0.286\t0.161\t0.224\t0.126\t0.108\t0.117 5\tT003\tE014\tLink\t0.797\t0.414\t0.606\t0.291\t0.11\t0.201 10\tT004\tE023\tLink\t0.117\t0.047\t0.082\t0.026\t0.019\t0.018 2\tT005\tE028\tLink\t0.78\t0.526\t0.653\t0.026\t0.019\t0.022 1\tT005\tE028_data\tLink\t0.816\t0.57\t0.693\t0.249\t0.154\t0.199 4\tT006\tE029\tLink\t0.835\t0.393\t0.613\t0.256\t0.104\t0.18 3\tT006\tE029_hr\tLink\t0.838\t0.393\t0.616\t0.256\t0.103\t0.18 6\tT007\tE030\tLink\t0.729\t0.316\t0.522\t0.284\t0.132\t0.208","keywords":""},{"title":"Additional Tools","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_additional_tools","content":"","keywords":""},{"title":"Hearing loss model​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#hearing-loss-model","content":" This is an open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge [1, 2]. Inputs: A stereo wav audio signal, e.g., the output of the hearing aid model and audiograms for left and right ear.Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"Differentiable source separation and hearing aid amplification modules​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#differentiable-source-separation-and-hearing-aid-amplification-modules","content":" The modules are from the Sheffield E009 system in CEC1. The source separation module is a multi-channel Conv-TasNet optimised with a SNR objective. The hearing aid amplification module is an FIR filter optimised with an objective, which is the combination of a differentiable approximation to the hearing loss model and a STOI loss. Inputs: six channels of mixed signals, i.e., mixed_CH1.wav, mixed_CH2.wav, and mixed_CH3.wavOutputs: a single channel enhanced signal, therefore two source separation and amplification modules for left and right ears need to be optimised for the enhanced binaural signal. "},{"title":"Speech intelligibility model (MBSTOI)​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#speech-intelligibility-model-mbstoi","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI) [3]. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections 'turned off', specified as 'target_anechoic'), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#references","content":" Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"ICASSP 2023 Clarity Challenge Download","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_download","content":"","keywords":""},{"title":"Software​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge Download","url":"docs/icassp2023/icassp2023_download#software","content":" All the necessary software tools are available as a single GitHub repository. A new version of the repository code, v0.2.0, has been released for use with the challenge. It contains a recipe for running the baseline and standard evaluation (recipes/icassp2023). "},{"title":"Data​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge Download","url":"docs/icassp2023/icassp2023_download#data","content":" The data is available for download here. On the download site you will see four data packages are available, clarity_CEC2_core.v1_1.tgz [28 GB] - metadata and dev set clarity_CEC2_train.v1_1.tgz [69 GB] - scenes for training systems clarity_CEC2_hoairs.v1_0.tgz [144 GB] - impulse responses for generating extended training data clarity_CEC2_icassp2023_eval.v1_0.tgz [6.5 GB] - the eval1 and eval2 evaluation sets (added on 2nd Feb 2023). All participants will require the core data package. Participants using machine learning approaches will additionally require the train data package. Participants wishing to extend the training set by using our provided scene rendering tools will also require the high order ambisonic impulse responses (i.e., the hoairs package). To unpack the data we recommend you follow the instructions in the Clarity Challenge GitHub repository. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_core_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#a-scene-generator","content":" Fully open-source Python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, HOA-IRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Hearing aid enhancement stage​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#b-hearing-aid-enhancement-stage","content":" The hearing aid enhancement stage supplied simply reduces the six channel input to two channels by selection the 'front' microphone on each ear. This is the component that you are challenged to replace. Inputs: 6 channel hearing aid input (3 microphones per for each ear)Outputs: An enhanced stereo signal that is passed to the amplification stage. "},{"title":"C. The hearing aid amplification stage​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#c-the-hearing-aid-amplification-stage","content":" The hearing aid amplifier consists of a NAL-R fitting amplification stage [1] followed by a simple automatic gain compressor. It produces output signals in 16-bit wav format ready for HASPI and HASQI evaluation. Inputs: Stereo output of the enhancement stage and audiograms to characterise the listeners.Outputs: Stereo hearing aid (HA) outputs signals. "},{"title":"D. HASPI Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#d-haspi-speech-intelligibility-model","content":" Python implementation of the Hearing Aid Speech Perception Index (HASPI) [2] model which is used for objective intelligibility estimation. This will be one component of the evaluation metric. Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"E. HASQI Speech Quality model​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#e-hasqi-speech-quality-model","content":" Python implementation of the Hearing Aid Speech Quality Index (HASQI) [3] model which is used for objective quality estimation. This will be one component of the evaluation metric. Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#references","content":" Byrne, Denis, and Harvey Dillon. "The National Acoustic Laboratories'(NAL) new procedure for selecting the gain and frequency response of a hearing aid." Ear and hearing 7.4 (1986): 257-265.Kates, J.M. and Arehart, K.H., 2021. "The hearing-aid speech perception index (haspi) version 2". Speech Communication, 131, pp.35-46.Kates, J.M. and Arehart, K.H., 2014. "The hearing-aid speech quality index (HASQI) version 2". Journal of the Audio Engineering Society. 62 (3): 99–117. "},{"title":"CPC2 Submission","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#registration","content":" Teams are required to register to help us organise the challenge. Registered teams will be assigned a unique team ID. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems. The evaluation data is will be made available when the submission period opens. See the download page for more details. There will be three evaluation sets (eval1, eval2 and eval3), corresponding to the three three training data partitions. i.e., predictions for the eval1 set should be made with systems trained on the train1 partition; eval2 with train2 and eval3 with train3. Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results. "},{"title":"What do I need to submit?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#what-do-i-need-to-submit","content":" All teams must submit Their predicted intelligibility scoresA two page technical report "},{"title":"The predicted intelligibility scores​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#the-predicted-intelligibility-scores","content":" Scores for each evaluation set should be stored in a separate CSV file named as follows CPC2_<TEAM_ID>.<SET>.csv, where <TEAM_ID> is your individual team ID, e.g. 'E001' and <SET> is the evaluation set number, either 1, 2, or 3. The CSV files should have two columns, signal_ID, intelligibility_score where the signal_ID is the unique signal identifier used for the wav file name (e.g., S08510_L0239_E001) and intelligibility_score is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., from 0 to 100). The three CSV files should be sent as email attachments to the email address: claritychallengecontact@gmail.com Please use "CPC2 Submission <TEAM_ID>" as the subject line. We also encourage you to make your prediction model code available via an open-source license, but this is not a pre-requisite for entry (see challenge rules). info All registered teams will be emailed with a reminder of their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline. "},{"title":"The technical report​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#the-technical-report","content":" The two page technical report must be submitted in the format required for the Clarity-2023 Workshop. The author kit and link for submission can be found on the workshop website. The report needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates here. Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules. Note, you will not have your final evaluation set scores when you submit your report. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). We will then release the groundtruth listener responses the day after the submission deadline (i.e. 1st August) to allow teams to perform further analysis of their results. This extra information can then be included in a revised version of your report, which will be published on the workshop website in time for the workshop itself on 19th August. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Find collaborators","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_find_a_team","content":"Find collaborators If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators. We encourage everyone to join the Clarity Challenge’s Google group to stay updated with project news and announcements. We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group). You are welcome to contact us if you have any questions about forming a team or participating in the challenge: Email the Clarity Team","keywords":""},{"title":"ICASSP 2023 Clarity Grand Challenge Registration","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_registration","content":"ICASSP 2023 Clarity Grand Challenge Registration Teams are required to register using the form below. Please register as soon as possible. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials. Loading…","keywords":""},{"title":"ICASSP 2023 Grand Challenge Rules","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions. "},{"title":"Transparency​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Teams may reserve the right to be referred to using anonymous code names in the published rank ordering. "},{"title":"What information can I use?​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#training-and-development","content":" For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files. Any audio or metadata can be used during training and development, but during evaluation, the enhancement algorithm will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferers for each hearing aid microphone).The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results).The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.) "},{"title":"Computational restrictions​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#computational-restrictions","content":" Teams may choose to use all, some or none of the parts of the baseline model.Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#submitting-multiple-entries","content":" It is intended that there should be one submission per registered team. Submitting multiple entries is discouraged. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#evaluation-of-systems","content":" Each signal will be scored using the average of its HASPI and HASQI scores. A system score will then be computed by averaging over the evaluation set. Separate scores will be computed for the real and simulated evaluation sets, along with a summary score formed by their average. Systems will be ranked according to their summary scores with all three (real, simulated and summary) scores being reported. "},{"title":"Intellectual property​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive licence to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_baseline","content":"","keywords":""},{"title":"Baseline performance​","type":1,"pageTitle":"Baseline System","url":"docs/icassp2023/software/icassp2023_baseline#baseline-performance","content":" Baseline performance using amplification with no enhancement will appear shortly. "},{"title":"References​","type":1,"pageTitle":"Baseline System","url":"docs/icassp2023/software/icassp2023_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (HASPI) version 2. Speech Communication, 131, pp.35-46.Kates, J.M. and Arehart, K.H., 2014. "The hearing-aid speech quality index (HASQI) version 2". Journal of the Audio Engineering Society. 62 (3): 99–117. "},{"title":"Learning","type":0,"sectionRef":"#","url":"docs/learning/learning_intro","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Details Click arrow to see synposis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"ICASSP 2023 Submission","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_submission","content":"","keywords":""},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#what-evaluation-data-is-provided","content":" There will be two sets of evaluation data: i) the simulate set consisting of 1500 scenes generated in the same way as the training and development data (eval1), ii) the real data consisting of real acoustic mixtures (eval2). For details see the data description page. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of the audiograms for a set of listeners anda mapping of which listeners will listen to which scenes. There will also be some clean example utterances from the target talker, that are not the same as the target utterance, but which can be used to identify the target talker, i.e., to disambiguate scenes in which other speakers are present. For HASPI/HASQI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#what-audio-do-i-need-to-submit","content":" You must submit the stereo audio signals produced at the output of your enhancement stage, which the organisers will process by the hearing aid amplification stage and the HASPI/HASQI evaluation metric. Signals should be submitted as stereo, floating point wav format signals, at the same sampling rate as the signals provided "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_enhanced.wav and explained on the data page. Place the processed signals for the two sets into separate directories named eval1 and eval2. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., ICASSP2023_E001 and then packaged using zip or tar or any standard packaging tool, e.g., to make a packaged file called <TEAM_ID>.zip The packaged file will have the following structure, ICASSP2023_E001 ├── eval1 (1500 processed signals) └── eval2 (1500 processed signals) The resulting file should be about 4 GB. Upload the packaged data to the Google Drive link that you will have been sent. "},{"title":"Using head rotation data and/or extended training data​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#using-head-rotation-data-andor-extended-training-data","content":" We would like to be able to separately evaluate the benefit of using the head rotation and extra training data, so in accordance with the challenge rules, If you have trained on data which was not included in the core database, then please also provide outputs of a system trained only with the standard data. If you have made use of the head rotation data you should also provide outputs of an equivalent system that does not use the head rotation data. If you have used extra training data and/or the head rotation data, then please package the outputs separately using the following naming convention, ‹TEAM_ID›.zip - standard training data and no head rotation (all teams) ‹TEAM_ID›_hr.zip - standard data and using head rotation ‹TEAM_ID›_data.zip - extended training data without using head rotation ‹TEAM_ID›_hr_data.zip - extended training data and using head rotation "},{"title":"Technical report​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#technical-report","content":" For every entry, a technical report needs to be uploaded to the Google Drive along with your evaluation signals - see here for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules.Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used.The report can be placed in the Google Drive alongside your data.The top five systems will be invited to submit a paper to the ICASSP 2023 special session. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. We also encourage you to submit your enhancement code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/icassp2023/data/cec2_scenario","content":"","keywords":""},{"title":"The scenario​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-scenario","content":" We want entrants to improve speech in the presence of background noise; see Figure 1. On the left there is a person with a quantified hearing loss who is listening to speech from the target talker on the right. Both people are in a living room. There is interfering noise from a number of sources (a TV and washing machine in this case). The speech and noise are sensed by microphones on the hearing aids of the listener. The task is to take these microphone feeds and the listener’s hearing characteristics, and produce signals for the hearing aid processor that will make the speech more intelligible. We will evaluate the success of the processing using a combination of objective metrics for speech intelligibility and quality. Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound. "},{"title":"Baseline system and software tools​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#baseline-system-and-software-tools","content":" Challenge entrants are supplied with an end-to-end baseline system. Figure 2 shows a simplified schematic, which comprises: Figure 2. Baseline schematic. A scene generator (blue box) creates speech in noise (SPIN).A listener is chosen (green ellipse), so the processing can be individualised for each listener with quantified hearing characteristics.The speech is enhanced (pink box). The entrants are tasked to improve this.The hearing aid we provide then amplifies the improved speech (yellow box)The amplified and improved speech that is emitted by your hearing aid is then passed to the prediction stage (red boxes). A combination of HASPI and HASQI is the output of the objective metrics for intelligibility and quality respectively (Kates and Arehart, 2021, Kates and Arehart 2014).All software tools will be available as a single GitHub repository. The software is split into core components e.g. HASPI, HASQI, and additional tools e.g. a hearing loss model. All software is open-source and in Python. "},{"title":"Room geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#room-geometry","content":" Cuboid rooms with dimensions length LLL by width WWW by height HHH.Length LLL set using a uniform probability distribution random number generator with 3<L(m)≤83 < L(m) \\le 83<L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7 m and standard deviation of 0.8 m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7 m2^22 and standard deviation of 5.5 m2^22 "},{"title":"Room materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The listener (receiver)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-listener-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2 m (sitting) or 1.6 m (standing). "},{"title":"Head rotation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#head-rotation","content":" The listener is initially oriented away from the target and will turn to be roughly facing the target talker around the time when the target speech starts Orientation of listener at start of the sample ~25° from facing the target (standard deviation = 5°), limited to +-2 standard deviations.Start of rotation is between -0.635 s to 0.865s (rectangular probability)The rotation lasts for 200 ms (standard deviation =10 ms)Orientation after rotation is 0-10° (random with rectangular probability distribution). "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. The target speech starts between 1.0 and 1.5 seconds into the mixed sound files (rectangular probability distribution). "},{"title":"The interferers​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-interferers","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) Each interferer is modelled as an omnidirectional point source. They will be radiating: speech, noise or music. They are placed within the room using uniform probability distribution random number generators for the coordinates. The following constraints ensure the interferer is not too close to the wall or listener. However, interferers are independently positioned with no constraint on their position relative to each other. They are set to be at the same height as the listener. Note, this means that the interferers can be at any angle relative to the listener. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ The interferers are present over the whole mixed sound file. "},{"title":"Signal-to-noise ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#signal-to-noise-ratio-snr","content":" The SNR of the mixtures are engineered to achieve a suitable range of speech intelligibility values. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the summed interferers that overlaps with the target (without padding), i′i'i′, and the target (without padding), t′t't′, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i′i'i′ and t′t't′ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The summed interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The frequency response is shown in Figure 2. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050]Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001] Figure 2, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "}] \ No newline at end of file diff --git a/search-doc.json b/search-doc.json index 9772f000a..2815fc31a 100644 --- a/search-doc.json +++ b/search-doc.json @@ -1 +1 @@ -[{"title":"CEC1 eval data released","type":0,"sectionRef":"#","url":"blog/CEC1 eval data released","content":"The evaluation dataset is now available to download from the myairbridge download site. The evaluation data filename is clarity_CEC1_data.scenes_eval.v1_1.tgz. Full details of how to prepare your submission are now available on this site. Please read them carefully. Registration: Teams must register via the Google form on the How To Submit page of this site. (Please complete this even if you have already completed a pre-registration form). Only one person from each team should register. Only those who have registered will be eligible to proceed to the evaluation. Once you have registered you will receive a confirmation email, a team ID and a link to a Google Drive to which you can upload your signals. Submission deadline: The deadline for submission is the 15th June. The submission consists of two components: i) a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used. This should be prepared as a Clarity-2021 workshop abstract and submitted to the workshop. ii) the set of processed signals that we will evaluate using the MBSTOI metric. Details of how to name and package your signals for upload can be found on the How To Submit page. Listening Tests: Teams that do well in the MBSTOI evaluation will be notified on 22nd June and invited to submit further signals for the second stage Listening Test evaluation. For any questions please contact us at claritychallengecontact@gmail.com or by posting to the Clarity challenge google group.","keywords":""},{"title":"CEC1 submissions received","type":0,"sectionRef":"#","url":"blog/CEC1 submissions received","content":"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals. Please remember to submit your finalised system descriptions by June 22nd to the Clarity workshop following the instructions provided on the workshop website. We are currently busy evaluating the submissions using the MBSTOI metric. We will be contacting teams on the 22nd with details of how to prepare signals for the listening panel evaluation. If you have been working on the challenge but missed the submission deadline then please do get in contact. We will still be happy to receive your signals and system descriptions. Although late entries will not be eligible for the official challenge ranking, we will be happy to compute the eval set MBSTOI score for you and may even be able to arrange listening test evaluation through our panel. For any questions please contact us at claritychallengecontact@gmail.com or by posting to the Clarity challenge google group.","keywords":""},{"title":"CEC2 registration open","type":0,"sectionRef":"#","url":"blog/CEC2 registration open","content":"We are pleased to announce that registration for the 2nd Clarity Enhancement Challenge (CEC2) is now open. To register please complete the simple Google form found on the registration page. The remaining important dates for the challenge are as follows: 25th July 2022: Evaluation data released1st Sept 2022: 1st round submission deadline for evaluation by objective measure15th Sept 2022: 2nd round submission deadline for listening testsSept-Nov 2022: Listening test evaluation period.2nd Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. The challenge training, dev data and initial tools are now fully from the Github repository. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"Announcement of ICASSP 2023 Grand Challenge","type":0,"sectionRef":"#","url":"blog/Announcement of ICASSP 2023 Grand Challenge","content":"We are pleased to announce that registration for the ICASSP 2023 Clarity Grand Challenge is now open. To register please complete the simple Google form found on the registration page. The remaining important dates for the challenge are as follows: 28th Nov 2022: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session The challenge training, dev data and initial tools are now fully from the Github repository. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"CPC1 results and prizes","type":0,"sectionRef":"#","url":"blog/CPC1 results and prizes","content":"The 1st Clarity Prediction Challenge is now complete. Thank you to all who took part! The full results can be found on the Clarity-2022 workshop website where you will also find links to system papers and the overview presentation. Many of the systems have led to successful Interspeech 2022 papers and will be contributing to the Interspeech 2022 special session on Speech Intelligibility Prediction for Hearing-Impaired Listeners. We hope to see many of you in Korea! In the meantime, please be sure to check out the onging 2nd Clarity Enhancement Challenge. The deadline for submitting enhanced signals is 1st September 2022, so there is still time to participate. To register a team please use the form here.","keywords":""},{"title":"CPC2 eval data released","type":0,"sectionRef":"#","url":"blog/CPC2 eval data released","content":"The CPC2 evaluation data has now been released. The data is available for download as a single 478 MB file, clarity_CPC2_data.test.v1_0.tgz. The evaluation data should be untarred into the same root as the training data. Further details can be found on the challenge website. The data consists of the hearing aid algorithm output signals, clean reference signals, listener audiograms, and head rotation information. Listener responses are not provided for the evaluation data but will be made available after the submission window has closed. For details on how to prepare your submission please see the instructions on the website. If you have any questions please feel free to post them on this forum. The submission window will close on the 31st of July. Good luck!","keywords":""},{"title":"Clarity Challenge pre-announcement","type":0,"sectionRef":"#","url":"blog/Clarity Challenge pre-announcement","content":"","keywords":""},{"title":"The Task​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#the-task","content":" You will be provided with simulated scenes, each including a target speaker and interfering noise. For each scene, there will be signals that simulate those captured by a behind-the-ear hearing aid with three channels at each ear and those captured at the eardrum without a hearing aid present. The target speech will be a short sentence and the interfering noise will be either speech or domestic appliance noise. The task will be to deliver a hearing aid signal processing algorithm that can improve the intelligibility of the target speaker for a specified hearing-impaired listener. Initially, entries will be evaluated using an objective speech intelligibility measure we will provide. Subsequently, up to twenty of the most promising systems will be evaluated by a panel of listeners. We will provide a baseline system so that teams can choose to focus on individual components or to develop their own complete pipelines. "},{"title":"What will be provided​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#what-will-be-provided","content":" Evaluation of the best entries by a panel of hearing-impaired listeners.Speech + interferer scenes for training and evaluation.An entirely new database of 10,000 spoken sentencesListener characterisations including audiograms and speech-in-noise testing.Software including tools for generating training data, a baseline hearing aid algorithm, a baseline model of hearing impairment, and a binaural objective intelligibility measure. "},{"title":"Important Dates​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#important-dates","content":" January 2021 – Challenge launch and release of software and dataApril 2021 – Evaluation data releasedMay 2021 – Submission deadlineJune-August 2021 – Listening test evaluation periodSeptember 2021 – Results announced at a Clarity Challenge Workshop in conjunction with Interspeech 2021 Challenge and workshop participants will be invited to contribute to a journal Special Issue on the topic of Machine Learning for Hearing Aid Processing that will be announced next year. "},{"title":"Further information​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#further-information","content":" If you are interested in participating and wish to receive further information, please sign up. If you have questions, contact us directly at contact@claritychallenge.org "},{"title":"Organisers​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#organisers","content":" Prof. Jon P. Barker, Department of Computer Science, University of SheffieldProf. Michael A. Akeroyd, Hearing Sciences, School of Medicine, University of NottinghamProf. Trevor J. Cox, Acoustics Research Centre, University of SalfordProf. John F. Culling, School of Psychology, Cardiff UniversityProf. Graham Naylor, Hearing Sciences, School of Medicine, University of NottinghamDr Simone Graetzer, Acoustics Research Centre, University of SalfordDr Rhoddy Viveros Muñoz, School of Psychology, Cardiff UniversityEszter Porter, Hearing Sciences, School of Medicine, University of Nottingham Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK. Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research, Honda Research Institute Europe. "},{"title":"Acknowledgement​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#acknowledgement","content":" The image copyright is owned by the University of Nottingham. "},{"title":"Live events in January","type":0,"sectionRef":"#","url":"blog/Jan-2-live-events","content":"","keywords":""},{"title":"Webinar - Challenge Overview​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#webinar---challenge-overview","content":" "},{"title":"Friday 14th January​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#friday-14th-january","content":" 9:00 GMT | 17:00 CST (GMT+8) "},{"title":"Click here to join the webinar​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#click-here-to-join-the-webinar","content":" An introduction to the aims of the challenge and some background to the problem of speech intelligibility prediction for hearing aids: Welcome, introduction to Clarity.Speech intelligibility models: Overview and why are they needed.Hearing impairment speech intelligibility prediction.The prediction challenge - details and how you can sign up to participate.Audience questions / discussion. The presentations will be recorded and made available online shortly after the event. The Q&A discussion will not be recorded. You are welcome to join slightly later if you are only interested in joining for the Q&A section (presentations should finish around 9:40 GMT). "},{"title":"Live Q&A session​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#live-qa-session","content":" "},{"title":"Monday 17th January​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#monday-17th-january","content":" 17:00 GMT | 12:00 EST (GMT-5) | 9:00 PST (GMT-8) "},{"title":"Click here to join the Q&A​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#click-here-to-join-the-qa","content":" A chance to ask the team questions about the Clarity Prediction Challenge - for anyone that could not attend the webinar on Friday 14th due to time zone differences. Please note there will be no presentations in this session. The talks from Friday’s webinar will be uploaded to the Clarity project YouTube channel later in the day so you are invited to watch those before joining this live Q&A. "},{"title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","type":0,"sectionRef":"#","url":"blog/Announcing CPC2","content":"","keywords":""},{"title":"Register now to take part​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#register-now-to-take-part","content":" If you are interested in participating please register now via the online registration form. "},{"title":"Important Dates​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#important-dates","content":" March - Launch of challenge, release of training data + baseline system.1st July - Release of evaluation data and opening of submission window.31st July - Submission deadline.19th August - ISCA Clarity 2023 workshop @ Interspeech19th September - Deadline for submission of finalised Workshop papers "},{"title":"What will be provided​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#what-will-be-provided","content":" Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The corresponding clean reference signals (the original speech);Characteristics of the listeners (pure tone audiograms, etc);The measured speech intelligibility scores from listening tests, where hearing-impaired listeners were asked to say what they heard after listening to the hearing aid processed signals.Software tools including a baseline system based on HASPI scores. "},{"title":"For further information​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#for-further-information","content":" To be kept up to date please join our Clarity Challenge Google group. If you have questions, please contact us directly using the contact details found here. "},{"title":"Latency, computation time and real-time operation","type":0,"sectionRef":"#","url":"blog/Latency, computation time and real-time operation","content":"","keywords":""},{"title":"The 1st Clarity Enhancement Challenge​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#the-1st-clarity-enhancement-challenge","content":" For a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. Such processing is useless for hearing aids and therefore our rules include a restriction on the use of future samples. The rules state the following: Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5ms).There is no limit on computational cost. Mathematically this is: yn=f(xm , xm+1 ... xn+N-1 , xn+N , L ) where yn is the output from your hearing aid for sample nnn.xxx is the audio input signal from a hearing aid microphone.N=0.005fsN = 0.005 fsN=0.005fs where fsfsfs is the sampling frequency.mmm is a sample number where m≤nm \\le nm≤n.LLL is the listener characteristics.f()f()f() is the hearing aid function. There is no limitation on how long this takes to compute.You can use multiple microphones; only a single input signal xxx is shown here just for simplicity. Here it is illustrated as a diagram. Figure. Example of how the limit of 5 ms is applied to a hearing aid input and output signal. We have a chosen a limit of 5 ms because in a real hearing aid there will be other sources of delay (e.g., analogue-to-digital, digital-to-analogue conversion). "},{"title":"Why is there no limitation of how long f() takes to compute?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#why-is-there-no-limitation-of-how-long-f-takes-to-compute","content":" We’re trying to foster new approaches to hearing aid processing and decided that at this stage we will drive more innovation if we don’t restrict computation time for round one. Such restrictions will be considered in future rounds. "},{"title":"Why haven’t you talked about latency?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#why-havent-you-talked-about-latency","content":" In discussions, it is apparent that this term is used in different ways by different people, so to avoid confusion we’re not using it! "},{"title":"Do algorithms have to be real-time?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#do-algorithms-have-to-be-real-time","content":" The above limitations mean that the algorithms could in theory be made real-time if a powerful enough computer was available, but your entry can take as long as it needs to process the signals. "},{"title":"ICASSP 2023 evaluation data released","type":0,"sectionRef":"#","url":"blog/ICASSP 2023 evaluation data released","content":"We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download. https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO For instructions on preparing your submission please visit: https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_submission If you have not yet registered it is not too late to do so. Please use the form at the link below and we will then send you a Team ID and a personalised upload link for your submission. https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_registration Note, we have extended the deadline for submission until Friday 10th February so that teams have a full week to process the signals. The remaining schedule is as follows, 2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session","keywords":""},{"title":"Baseline speech intelligibility model in round one","type":0,"sectionRef":"#","url":"blog/baseline","content":"","keywords":""},{"title":"Some comments on signal alignment and level-insensitivity​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#some-comments-on-signal-alignment-and-level-insensitivity","content":" Our baseline binaural speech intelligibility measure in round one is the Modified Binaural Short-Time Objective Intelligibility measure, or MBSTOI. This short post outlines the importance of correcting for delays that your hearing aid processing algorithm introduces into the audio signals to allow MBSTOI to estimate the speech intelligibility accurately. It also discusses the importance of considering the audibility of signals before evaluation with MBSTOI. "},{"title":"Evaluation​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#evaluation","content":" In stage one, entries will be ranked according to the average MBSTOI score across all samples in the evaluation test set. In the second stage, entries will be evaluated by the listening panel. There will be prizes for both stages. See this page for more information. "},{"title":"Signal alignment in time and frequency​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#signal-alignment-in-time-and-frequency","content":" If the signal processed by the hearing aid introduces a significant delay, you should correct for this delay before submitting your entry. This is necessary because MBSTOI requires alignment of the clean speech “reference” with the processed signal in time and frequency. This needs to be done for both ear signals. MBSTOI downsamples signals to 10 kHz, uses a Discrete Fourier Transform to decompose the signal into one-third octave bands, and performs envelope extraction and short-time segmentation into 386 ms regions. Each region consists of 30 frames. These approaches are motivated by what is know about which frequencies and modulation frequencies are most important for intelligibility. For each frequency band and frame (over the region of which it is the last frame), an intermediate correlation coefficient is calculated between the clean reference and processed power envelopes for each ear. These are averaged to obtain the MBSTOI index. Thus is usually between 0 and 1, and rises monotonically with measured intelligibility scores, such that higher values indicate greater speech intelligibility. Alignment is therefore required at the level of the one-third octave bands and short-time regions. Our baseline corrects for broadband delay per ear due to the hearing loss model. (The delay is measured by running a kronnecker delta function through the model for each ear.) However, the baseline software will not correct for delays created by your hearing aid processing. Consequently, when submitting your hearing aid output signals, you are responsible for correcting for any delays introduced by your hearing aid. Note that this must be done blindly; the clean reference signals will not be supplied for the test/evaluation set. "},{"title":"Level insensitivity​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#level-insensitivity","content":" MBSTOI is level-independent, i.e., MBSTOI is broadly insensitive to the level of the processed signal because it is calculated using a cross-correlation method. This could be a problem because sounds that are below the auditory thresholds of the hearing impaired listener may appear to MBSTOI to be highly intelligible. To overcome this, the baseline experimental code mbstoi_beta, in conjunction with the baseline hearing loss model, can be used to approximate hearing-impaired auditory thresholds. Specifically, mbstoi_beta adds internal noise that can be used to approximate normal hearing auditory thresholds. This noise, in combination with the attenuation of signals by the hearing loss model to simulate raised auditory thresholds, makes MBSTOI level-sensitive. The noise is created by filtering white noise using pure tone threshold filter coefficients with one-third octave weighting, approximating the shape of a typical auditory filter (from Moore 2012, based on Patterson’s method, 1976). This noise is added to the processed signal. Note, the standard MBSTOI in the equalisation-cancellation stage adds internal noise to parameters, but this is an independent process. "},{"title":"MBSTOI​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#mbstoi","content":" The method was developed by Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen (Andersen et al., 2018). It builds on the Short-Time Objective Intelligibility (STOI) metric created by Cees H. Taal, Richard C. Hendriks, Richard Heusdens, and Jesper Jensen (Taal et al., 2011). MBSTOI includes a better ear stage and an equalisation-cancellation stage. For simplicity, the latter stage is not discussed here; see Andersen et al. (2018) for details. "},{"title":"References​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#references","content":" Andersen, A. H., de Haan, J. M., Tan, Z. H., & Jensen, J. (2018). Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, 1-13.Moore, B. C. (2012). An introduction to the psychology of hearing. Brill.Patterson, R. D. (1976). Auditory filter shapes derived with noise stimuli. The Journal of the Acoustical Society of America, 59(3), 640-654.Taal, C. H., Hendriks, R. C., Heusdens, R., & Jensen, J. (2011). An algorithm for intelligibility prediction of time–frequency weighted noisy speech. IEEE Transactions on Audio, Speech, and Language Processing, 19(7), 2125-2136. "},{"title":"Clarity-2023 Workshop @ Interspeech, Dublin","type":0,"sectionRef":"#","url":"blog/Clarity-2023 Workshop @ Interspeech, Dublin","content":"We are pleased to announce the 4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023). The event will be a one-day workshop held as an ISCA satellite event to Interspeech 2023 in Dublin, Ireland. For registration and programme details please visit the workshop website https://claritychallenge.github.io/clarity2023-workshop/ IMPORTANT DATES 2nd June 2023 - Workshop Submission Deadline (Regular Papers)31st July 2023 - Workshop Submission Deadline (Clarity Challenge Papers)5th August 2023 - Registration closes19th August - Workshop / Clarity Challenge results announced About One of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. The inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss. The Clarity workshops are designed to stimulate a two-way conversation between the speech research community and hearing aid developers. Hearing aid developers, who are not typically represented at Interspeech, will have an opportunity to present the challenges of their industry to the speech community; the speech community will be able to present and discuss potentially transformative approaches to speech in noise processing in the presence of hearing researchers and industry experts. Topics Any work related to the challenges of hearing aid signal processing will be considered relevant topics include, Binaural technology for speech enhancement and source separationMulti-microphone processing technologyReal-time approaches to speech enhancementStatistical model-driven approaches to hearing aid processingAudio quality & intelligibility assessment hearing aid and cochlear implant usersEfficient and effective integration of psychoacoustic testing in machine learningMachine learning for diverse target listenersMachine learning models of hearing impairment The 2nd Clarity Prediction Challenge The Clarity-2023 will also host the 2nd Clarity Prediction Challenge, that is addressing the problem of developing new intrusive and non-intrusive approaches to hearing-aid speech intelligibility prediction. The Challenge will be launching on 1st March, is you may be interested in participating please sign up to our Google group for further announcements. Keynote Talks Prof Fei Chen, SUSTech, China,Prof DeLiang Wang, Ohio State University, US Organisers Michael Akeroyd, University of NottinghamJon Barker, University of SheffieldTrevor Cox, University of SalfordFei Chen, Southern University of Science and Technology, ChinaJohn Culling, University of CardiffSimone Graetzer, University of SalfordAndrew Hines, University College Dublin For further information To be kept up to date please join our Clarity Challenge Google group. If you have questions, please contact us directly using the contact details found here. Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research","keywords":""},{"title":"Release of CEC2 baseline","type":0,"sectionRef":"#","url":"blog/release of CEC2 baseline","content":"We are pleased to announce the release of the 2nd Clarity Enhancement Challenge (CEC2) baseline system code. The baseline code has been released in the latest commit to the Clarity GitHub repository. The baseline system perform NAL-R amplification according to the audiogram of the target listener, followed by a simple gain control and output of the signals to 16-bit stereo wav format. The system has been kept deliberately simple with no microphone array processing or attempt at noise cancellation. HASPI scores for the dev set have been measured. The scores are as follows. System\tHASPIUnprocessed\t0.1615 NAL-R baseline\t0.2493 See here for further details. If you have any problems using the baseline code please do not hesitate to contact us at claritychallengecontact@gmail.com, or post questions on the Google group.","keywords":""},{"title":"Hearing loss simulation","type":0,"sectionRef":"#","url":"blog/Hearing loss simulation","content":"","keywords":""},{"title":"Audio examples of hearing loss​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#audio-examples-of-hearing-loss","content":" Here are two samples of speech in noise processed through the simulator. In each audio example there are three versions of the same sentence: Unimpaired hearingMild hearing impairmentModerate to severe hearing impairment 0 dB signal to noise ratio Your browser does not support the audio element. And here is an example where the noise is louder: Your browser does not support the audio element. Noisier: -10dB signal to noise ratio "},{"title":"Acknowledgements​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#acknowledgements","content":" The hearing loss model we’re using was generously supplied by Michael Stone at the University of Manchester as MATLAB code and translated by us into Python. The original code was written by members of the Auditory Perception Group at the University of Cambridge, ca. 1991-2013, including Michael Stone, Brian Moore, Brian Glasberg and Thomas Baer. Information about the model can be found primarily in Nejime and Moore (1997), but also in Nejime and Moore (1998), Baer and Moore (1993 and 1994), and Moore and Glasberg (1993). The original speech recordings come from the ARU corpus, University of Liverpool (Hopkins et al. 2019). This corpus is freely available at the link in the reference below. "},{"title":"References​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#references","content":" Baer, T., & Moore, B. C. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. The Journal of the Acoustical Society of America, 94(3), 1229-1241.Baer, T., & Moore, B. C. (1994). Effects of spectral smearing on the intelligibility of sentences in the presence of interfering speech. The Journal of the Acoustical Society of America, 95(4), 2277-2280.Hopkins, C., Graetzer, S., & Seiffert, G. (2019). ARU adult British English speaker corpus of IEEE sentences (ARU speech corpus) version 1.0 [data collection]. Acoustics Research Unit, School of Architecture, University of Liverpool, United Kingdom. DOI: 10.17638/datacat.liverpool.ac.uk/681. Retrieved from http://datacat.liverpool.ac.uk/681/.Moore, B. C., & Glasberg, B. R. (1993). Simulation of the effects of loudness recruitment and threshold elevation on the intelligibility of speech in quiet and in a background of speech. The Journal of the Acoustical Society of America, 94(4), 2050-2062.Moore, B. C., Glasberg, B. R., & Vickers, D. A. (1996). Factors influencing loudness perception in people with cochlear hearing loss. B. Kollmeier, World Scientific, Singapore, 7-18.Nejime, Y., & Moore, B. C. (1997). Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. The Journal of the Acoustical Society of America, 102(1), 603-615.Nejime, Y., & Moore, B. C. (1998). Evaluation of the effect of speech-rate slowing on speech intelligibility in noise using a simulation of cochlear hearing loss. The Journal of the Acoustical Society of America, 103(1), 572-576. "},{"title":"Launch of CEC2","type":0,"sectionRef":"#","url":"blog/launch of CEC2","content":"We are pleased to announce the launch of the 2nd Clarity Enhancement Challenge (CEC2). The website has been fully updated to provide you with all the information you will need to participate in the challenge. The schedule for the challenge is as follows: 13th April 2022: Release of training and development data; initial tools.30th April 2022: Release of full toolset and baseline system.1st May 2022: Registration for challenge entrants opens.25th July 2022: Evaluation data released1st Sept 2022: 1st round submission deadline for evaluation by objective measure15th Sept 2022: 2nd round submission deadline for listening testsSept-Nov 2022: Listening test evaluation period.2nd Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. The challenge training, dev data and initial tools will be available from 13th April. In the meantime, please visit the CEC2 Intro page to learn more about the task. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"One approach to our enhancement challenge","type":0,"sectionRef":"#","url":"blog/One approach to our enhancement challenge","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"One approach to our enhancement challenge","url":"blog/One approach to our enhancement challenge#references","content":" [1] Andersen, A.H., Haan, J.M.D., Tan, Z.H. and Jensen, J., 2015. A binaural short time objective intelligibility measure for noisy and enhanced speech. In the Sixteenth Annual Conference of the International Speech Communication Association.[2] Li, H., Fu, S.W., Tsao, Y. and Yamagishi, J., 2020. iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. arXiv preprint arXiv:2004.00932.[3] Gillhofer, M., Ramsauer, H., Brandstetter, J., Schäfl, B. and Hochreiter, S., 2019. A GAN based solver of black-box inverse problems. Proceedings of the NeurIPS 2019 Workshop.[4] Kawanaka, M., Koizumi, Y., Miyazaki, R. and Yatabe, K., 2020, May. Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7524-7528). IEEE. "},{"title":"Sounds for round one","type":0,"sectionRef":"#","url":"blog/Sounds","content":"","keywords":""},{"title":"Everyday background noises that interfere with understanding of speech​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#everyday-background-noises-that-interfere-with-understanding-of-speech","content":" A long and varied list of sounds cause problems. These lists are in no particular order. Living room or spaceClocks tickingCrisp packets rustlingTaps runningKettles boilingDishwasherMicrowaveWashing machineTV, music, radioPhone ringing (or receiving texts – unknown beeps/tones)Newspapers rustlingAir-conditioning and oven extractor fansVacuum cleanerDoorbell ringingDog barkingRain on window "},{"title":"Family and friends​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#family-and-friends","content":" Cutlery/crockery banging/clangingDoors opening/closing (to rooms and cupboards)MusicPeople walking around the roomChildren playing with toysLaughingPeople talking from another roomSpeakers from a different conversation in close proximity (i.e. beside you) when you are trying to converseTraffic outsideChewing/chompingSteam pipes/ coffee machinesChairs being moved "},{"title":"Outside​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#outside","content":" Church bellsMarket noiseFootsteps on different types of ground, i.e. heels on hard floors but also wellingtons in mudClothes rustling (such as waterproof coats or hat on hearing aid)Wind (even with HA on ‘wind setting’)Pigeons/birdsSirensTraffic noise (especially at junctions)MusicLaughterPhones ringingTillsChildren playing outside or running around (in shops, on the street and at parks)Beeping signal at crossingsGarden centres – high glass ceilings, open plan, trolleysRoad/ tyre and traffic noise when in a car or on the busAlso mentioned how people you speak to in the car may be in front or behind youTrains and the tubeAeroplanes and airports (suitcases rolling)Tannoys "},{"title":"Characteristics of processed speech to consider​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#characteristics-of-processed-speech-to-consider","content":" Clarity (clearness) or qualityRhythm of speech‘Inflection’ (intonation)Similarity to original speakerAgreed that in situations where the voice would not be processed clearly, i.e. outside with many noise sources, not sounding like the original - speaker is fine. "},{"title":"Other comments​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#other-comments","content":" Speed of speech; it was suggested that we have sentences read at different speeds as faster talkers are often harder to understand.Stated that emphasis on key words is useful for following conversation; perhaps key words in the sentence when marked should be given higher value.Lots of comments on room acoustics, i.e., ceiling heights, furnishings, floorings, windows etc., which has a big impact on how difficult it is to have a conversation with background noise.Different accents of talkers can make conversation more difficult; including speakers with different accents in the background.We’re now working out what sounds to use. But are there other sounds we should consider? "},{"title":"Credits​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#credits","content":" Thank you to the patient and public involvement representatives who participated.Clarity Organiser: Eszter Porter .Facilitators: Adele Horobin, Erin Dawe-Lane.This discussion group was supported by the National Institute for Health Research Nottingham Biomedical Research Centre. "},{"title":"The speech-in-noise problem","type":0,"sectionRef":"#","url":"blog/The speech-in-noise problem","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"The speech-in-noise problem","url":"blog/The speech-in-noise problem#references","content":" Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. International Journal of Audiology, 47(sup2), S53-S71.Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. The Journal of the Acoustical Society of America, 25(5), 975-979.Heinrich, A., Henshaw, H., and Ferguson, M. A. (2015). The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech perception tests. Frontiers in Psychology, 6, 782.Vestergaard Knudsen, L., Öberg, M., Nielsen, C., Naylor, G., and Kramer, S. E. (2010). Factors influencing help seeking, hearing aid uptake, hearing aid use and satisfaction with hearing aids: A review of the literature. Trends in Amplification, 14(3), 127-154.Kochkin, S. (2000). MarkeTrak V: “Why my hearing aids are in the drawer” The consumers’ perspective. The Hearing Journal, 53(2), 34-36. "},{"title":"Credits​","type":1,"pageTitle":"The speech-in-noise problem","url":"blog/The speech-in-noise problem#credits","content":" Photo of Cocktail party by Ross CC BY-NC-SA 2.0Ronan, N., & Barrett, G. (2014). A 68 year old woman with deteriorating hearing. BMJ, 348, g2984. https://www.bmj.com/content/348/bmj.g2984 "},{"title":"The baseline","type":0,"sectionRef":"#","url":"blog/The baseline","content":"An overview of the current state of the baseline we’re developing for the machine learning challenges We’re currently developing the baseline processing that challenge entrants will need. This takes a random listener and a random audio sample of speech in noise (SPIN) and passes that through a simulated hearing aid (the Enhancement Model). This improves the speech in noise. We then have an algorithm (the Prediction Model) to estimate the Speech Intelligibility that the listener would perceive (SI score). This score can then be used to drive machine learning to improve the hearing aid. A talk through the baseline model we’re developing. The first machine learning challenge is to improve the enhancement model, in other words, to produce a better processing algorithm for the hearing aid. The second challenge is to improve the prediction model using perceptual data we’ll provide.","keywords":""},{"title":"The speech-in-noise problem part two","type":0,"sectionRef":"#","url":"blog/The speech-in-noise problem part two","content":"","keywords":""},{"title":"Machine learning​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#machine-learning","content":" In recent years, there has been increasing interest in what machine learning methods can do for hearing aids. Machine learning is a branch of artificial intelligence where computers learn directly from example data. One machine learning method is the neural network. This is an algorithm formed from layers of simple computational units connected to each other in a way that is inspired by connections between neurons in the brain. Deep (3+ layer) neural networks are able to learn complex, non-linear mapping functions, which makes them ideal candidates for noise reduction tasks. We anticipate that machine learning can help tackle the challenge of speech in noise for hearing aids, providing a tailored solution for each individual and listening situation. For example, one thing machine learning could do is to sense the acoustic environment the listener is in, and choose the most suitable processing settings. Image via www.vpnsrus.com In recent years, a machine learning approach for noise reduction has become popular. Neural networks are used to estimate time-frequency masks (a set of gains for each time-frequency unit that, when multiplied by the signal, produce less noisy speech; see, e.g., Zhao et al., 2018). Machine learning systems for noise reduction are trained on artificially mixed speech and noise. Some operate on a single channel, i.e., using spectral cues, and some work with multiple channels using spatial cues. We expect that future hearing aids built on machine learning will perform best if they combine the left and right microphones to work binaurally. Most of these noise reduction systems have been designed and evaluated in an off-line mode where they process pre-recorded signals. This isn’t much use for hearing aids that need to work in real-time with low latency (i.e., short delays). One challenge for hearing aids is to redesign off-line approaches to work quickly enough without too much loss of performance. The potential for machine learning to produce better approaches to hearing aid processing is what motivated the Clarity Project. If you’re interested in hearing more as the challenges develop, please sign up. "},{"title":"References​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#references","content":" Brons, I., Houben, R., and Dreschler, W. A. (2014). Effects of noise reduction on speech intelligibility, perceived listening effort, and personal preference in hearing-impaired listeners. Trends in hearing, 18, 1-10.Van den Bogaert, T., Doclo, S., Wouters, J., and Moonen, M. (2009). Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing aids. The Journal of the Acoustical Society of America, 125(1), 360-371.Zhao, Y., Wang, D., Johnson, E. M., and Healy, E. W. (2018). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. The Journal of the Acoustical Society of America, 144(3), 1627-1637. "},{"title":"Credits​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#credits","content":" Photograph of hearing aid wearer, copyright University of Nottingham. Image of brain with overlaid circuity made available by www.vpnsrus.com. "},{"title":"Welcome to CPC1","type":0,"sectionRef":"#","url":"blog/welcome to CPC1","content":"Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we're still doing listening tests and preparing the data, so the download links don't work. If anything is unclear or you've got questions, please contact us through the Google group.","keywords":""},{"title":"Welcome","type":0,"sectionRef":"#","url":"blog/welcome","content":"Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems.","keywords":""},{"title":"Introduction Webinar - Recording Available","type":0,"sectionRef":"#","url":"blog/webinar-1-link","content":"The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online: The slides are available to download: 1 Welcome and Overview 2 Speech Intelligibility Models 3 Hearing Impariment and SI Prediction 4 Clarity Prediction Challenge Details Note that we did not record the Q&A session at the end, but if you have questions about taking part in the challenge you can contact us at claritychallengecontact@gmail.com","keywords":""},{"title":"Why use machine learning challenges for hearing aids?","type":0,"sectionRef":"#","url":"blog/Why use machine learning challenges for hearing aids","content":"","keywords":""},{"title":"Components of a challenge​","type":1,"pageTitle":"Why use machine learning challenges for hearing aids?","url":"blog/Why use machine learning challenges for hearing aids#components-of-a-challenge","content":" There needs to be a common task based on a target application scenario to allow communities to gain from benchmarking and collaboration. Clarity project’s first enhancement challenge will be about hearing speech from a single talker in a typical living room, where there is one source of noise and a little reverberation. We’re currently working on developing simulation tools to allow us to generate our living room data. The room acoustic will be simulated using RAVEN and the Hearing Device Head-related Transfer Functions will come from Denk’s work. We’re working on getting better, more ecologically valid speech than is often used in speech intelligibility work. Entrants are then given training data and development (dev) test data along with a baseline system that represents the current state-of-the-art. You can find a post and video on the current thinking on the baseline here. We’re still working on the rules stipulating what is and what is not allowed (for example, will entrants be allowed to use data from outside the challenge). Clarity’s first enhancement challenge is focussed on maximising the speech intelligibility (SI) score. We will evaluate this first through a prediciton model that is based on a hearing loss simulation and an objective metric for speech intellibility. Simulation has been hugely important for generating training data in the CHIME challenges and so we intend to use that approach in Clarity. But results from simulated test sets cannot be trusted and hence a second evaluation will come through perceptual tests on hearing impaired subjects. However, one of our current problems is that we can’t bring listeners into our labs because of COVID-19. We’ll actually be running two challenges in roughly parallel, because we’re also going to task the community to improve our prediction model for speech intelligibility. We’re running a series of challenges over five years. What other scenarios should we consider? What speech? What noise? What environment? Please comment below. "},{"title":"Acknowledgements​","type":1,"pageTitle":"Why use machine learning challenges for hearing aids?","url":"blog/Why use machine learning challenges for hearing aids#acknowledgements","content":" Much of this text is based on Jon Barker’s 2020 SPIN keynote "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cec1/cec1_dates","content":"Important Dates We are operating a two-stage submission process with the following key dates. 1st June 2021: Evaluation data release for MBSTOI evaluation for all entrants. 11th June 2021: Registration deadline. 15th June 2021: All entrants submit (i) audio for MBSTOI evaluation and (ii) a draft of their technical report (details below). 22nd June 2021: Deadline by which all entrants must submit two page technical reports to Clarity-2021 workshop (details below). 22nd June 2021: Entrants informed which systems are going forward to the listening test evaluation stage. Evaluation data for listening tests released to those entrants. 29th June 2021: Entrants submit audio for listening tests.","keywords":""},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cec1/taking_part/cec1_prizes#the-team-prize","content":" Team prizes have been made available by the generosity of the Hearing Industry Research ConsortiumThere will be separate MBSTOI and listening test prizes for the top systems. MBSTOI prize 1st Place $1000 2nd Place $500 3rd Place $250 Listening Test prize 1st Place $1000 2nd Place $500 3rd Place $250 "},{"title":"The Amazon Student Prize​","type":1,"pageTitle":"Prizes","url":"docs/cec1/taking_part/cec1_prizes#the-amazon-student-prize","content":" Student prizes have been made available by the generosity of Amazon TTS Research Amazon prize for top student contribution 1st Place $1000 2nd Place $500 3rd Place $250 The award will be judged by a panel formed from members of the Clarity-2021 workshop scientific committee.There will be a lightweight nomination process. Details to be announced. info Anonymous entries and those with direct links to the Clarity project team are ineligible for cash prizes, sorry. "},{"title":"The 1st Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec1/cec1_intro","content":"The 1st Clarity Enhancement Challenge warning The 1st Clarity Enhancement Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the Clarity-2021 Workshsop website. For details of information on forthcoming challenge see here. Dates - key challenge dates. Scenario - a description of the listening scenario and how it has been simulated. Baseline System - a description of the baseline hearing aid model. CEC1 Data - the data that can be used to train and evaluate your system during development. CEC1 Software - the software tools that we are providing to help you build and evaluate a challenge entry. Challenge Rules - the rules to which all challenge entries must adhere. Listening Tests - information about the listening tests which will be used to evaluate the best systems. Submission - information about how to prepare your submission. Prizes - information about our prizes. Download - where to go to download the software and challenge data.","keywords":""},{"title":"Rules","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions.The organisers may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.All teams will be referred to using anonymous codenames in rank ordering. "},{"title":"Intellectual property​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"What information can I use?​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#training-and-development","content":" There is no limit on the amount of training data that can be generated using our tools. Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferer for each hearing aid microphone), andThe listener characterisation (pure tone air-conduction audiograms). "},{"title":"Computational restrictions​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#submitting-multiple-entries","content":" If you wish to submit two entries, where one is optimised for MBSTOI and the other, for listening tests, Both systems must be submitted for MBSTOI evaluation.You must register two teams, submitting each entry as a different team.In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries. We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#evaluation-of-systems","content":" "},{"title":"Stage 1: Objective evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#stage-1-objective-evaluation","content":" Entries will be ranked according to average Modified Binaural Short-Time Objective Intelligibility (MBSTOI) score across all samples in the evaluation/test dataset (i.e., all signals submitted for the MBSTOI evaluation). "},{"title":"Stage 2: Listening test evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#stage-2-listening-test-evaluation","content":" There is a limit on how many systems can be evaluated by the listener panel.A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches.We will choose which will go to the listener panel based on The top N scored using the objective evaluation method.A sample of M others that use contrasting and promising approaches. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cec1/software/cec1_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#a-scene-generator","content":" Fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, BRIRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid processor is based on openMHA. The python code configures openMHA with a Camfit compressive fitting for a specific listener’s audiogram. This includes a python implementation of the Camfit compressive prescription and python code for driving openMHA. This configuration of openMHA includes multiband dynamic compression and non-adaptive differential processing. The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly. The main inputs and outputs for the processor are as follows: Inputs: Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in ‘scenes_listeners.json’ and an entry in the listener metadata json file ‘listeners.json’ for that IDOutputs: The stereo hearing aid output signal, <scene>_<listener>_HA-output.wav "},{"title":"C. Hearing Loss model​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#c-hearing-loss-model","content":" Open-source python implementation of the Cambridge Auditory Group Moore/Stone/Baer/Glasberg hearing loss model. Inputs: A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears).Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"D. Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#d-speech-intelligibility-model","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI). This is an experimental baseline tool that will be used in the stage 1 evaluation of entrants (see Rules). Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), (scene metadata)Outputs: predicted intelligibility score "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cec1/software/cec1_baseline","content":"Baseline System Figure 1 shows a simplified schematic of the baseline system. For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms. The speech in noise that has been improved by the hearing aid is then passed to the prediction stage (orange box). This includes: (i) a simulation of hearing loss and (ii) a binaural model of intelligibility that estimates the speech intelligibility. Figure 1 Simplified overview of the baseline. As stated in the rules of the first Enhancement Challenge, you are free to choose which parts of the baseline are useful to your approach, and reconfigure the system as you feel fit. More details of the different parts of the baseline appear on the software page, see, Scene GeneratorHearing aid modelHearing loss modelSpeech intelligibility model Download baseline software and data.","keywords":""},{"title":"Download","type":0,"sectionRef":"#","url":"docs/cec1/cec1_download","content":"Download The baseline code is available on Github. The github repository includes instructions for obtaining the data.","keywords":""},{"title":"CEC1 Data","type":0,"sectionRef":"#","url":"docs/cec1/data/cec1_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#a-training-development-evaluation-data","content":" The dataset is split into these three subsets: training (train), development (dev) and evaluation (eval). You should only train on the training set.The system submitted should be chosen on the evidence provided by the development set.The final listening and ranking will be performed with the (held-out) evaluation set.For more information on supplementing the training data, please see the rules. The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b-the-scene-dataset","content":" The complete dataset is composed of 10,000 scenes split into the following sets: Training (6000 scenes, 24 speakers);Development (2500 scenes, 10 speakers);Evaluation (1500 scenes, 6 speakers). Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training, development and evaluation sets are disjoint for target speaker. The three sets are balanced for target speaker gender. Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used. The BRIRs are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files are specification files for the geometric room acoustic model that include a complete description of the room. "},{"title":"B.1 Training data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).HRIRs including those corresponding to the target azimuth.The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate BRIR;The interferer convolved with the appropriate BRIR;The sum of the target and interferer convolved. The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files. Software for generating more training data is also available. "},{"title":"B.2 Development data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b2-development-data","content":" The same data as for the training will be made available to allow you to fully examine the performance of your system. Note, that the data available for the evaluation will be much more limited (see B.3). For each scene, during development, your hearing aid enhancement model must only use the following input signals/data: The sum of the target and interferer – mixed at the SNR specified in the scene metadata – at one or more hearing aid microphones (CH1, CH2 and/or CH3).The IDs of the listeners assigned to the scene in the metadata provided.The audiograms of these listeners. "},{"title":"B.3 Evaluation scene data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b3-evaluation-scene-data","content":" For each scene in the evaluation data only the following will be available: The sum of the target and interferer for each hearing aid microphone.The ID of the evaluation panel members/listeners who will be listening to the processed scene.The audiograms of these listeners. "},{"title":"C Listener data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c-listener-data","content":" "},{"title":"C.1 Training and development data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c1-training-and-development-data","content":" A sample of pure tone air-conduction audiograms that characterise the hearing impairment of potential listeners, split into training and development sets. "},{"title":"C.2 Evaluation data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c2-evaluation-data","content":" You will be given the left and right pure tone air-conduction audiograms for the listening panel, so the signals you generate for evaluation can be individualised to the listeners. A panel of 50 hearing-aided listeners will be recruited for the evaluation panel. We plan that they will be experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations in Filenames​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d1-abbreviations-in-filenames","content":" R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d2-general","content":" Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left and right signals of the ear or hearing aid microphones.HRIRs have a sampling rate of 48 kHz.Metadata will be stored in JSON format wherever possible.Room descriptions are stored as RAVEN project ‘rpf’ configuration files.Signals are saved within the Python code as 32-bit floating point by default. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was supposed to be spoken as presented to the readers.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d4-source-audio-files","content":" Wav files containing the original source materials.Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav <Scene ID>_interferer_<Channel ID>.wav <Scene ID>_mixed_<Channel ID>.wav <Scene ID>_target_anechoic.wav Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d6-enhanced-signals","content":" The signals that are output by the enhancement (hearing aid) model. <Scene ID>_<Listener ID>_HA-output.wav #HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel. "},{"title":"D.7 Enhanced signals processed by the hearing loss model​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d7-enhanced-signals-processed-by-the-hearing-loss-model","content":" The signals that are produced by the hearing loss (HL) model. <Scene ID>_<Listener ID>_HL-output.wav HL output signal<Scene ID>_<Listener ID>_HL-mixoutput.wav HL-processed CH0 signal, bypassing HA processing, for comparison<Scene ID>_<Listener ID>_flat0dB_HL-output HL-output for flat 0 dB audiogram processed signal for comparison<Scene ID>_<Listener ID>_HLddf-output unit impulse signal output by HL model for time-alignment of signals before processing by the baseline speech intelligibility model "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d8-scene-metadata","content":" JSON file containing a description of the scene and assigns the scene to a specific member of the listening panel. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight. scenes.json [ { "scene": "S00001", "room": { "name": "R00001", "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres }, "SNR": 3.8356, "hrirfilename": "VP_N5-ED", // HRIR filename "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "Positions": [ -0.5, 3.4, 1.2 ], "ViewVectors": [ 0.291, -0.957, 0 ], "name": "T022_HCS_00002", // target speaker code and BNCid "nsamples": 153468, // length of target speech in samples }, "listener": { "Positions": [ 0.2, 1.1, 1.2 ], "ViewVectors": [ -0.414, 0.91, 0 ] }, "interferer": { "Positions": [ 0.4, 3.2, 1.2 ], "name": "CIN_dishwasher_012", // interferer name "nsamples": 1190700, // interferer length in samples "duration": 27, // interferer duration in seconds "type": "noise", // interferer type: noise or speech "offset": 182115, // interferer segment starts at n samples from beginning of recording }, "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver "dataset": "train", // dataset: train, dev or eval/test "pre_samples": 88200, // number of samples of interferer before target onset "post_samples": 44100 // number of samples of interferer after target offset }, { // etc. } ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room.A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files.The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file.Non-speech interferers are labelled CIN_<noise type>_XXX, while speech interferers are labelled <three letter code including dialect and talker gender>_XXXXX . "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d9-listener-metadata","content":" Listener data stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ 10, 15, 25, 40, 50, 65, 65, 70 ], }, "L0002": { // ... etc }, // ... etc } "},{"title":"D.10 Scene-Listener map​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d10-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003". "L0005", "L0007"], // etc } "},{"title":"CEC2 Schedule","type":0,"sectionRef":"#","url":"docs/cec2/cec2_dates","content":"CEC2 Schedule Key dates are as follows 30th March 2022: Challenge website launch 14th April 2022: Release of training and development data, plus core software. 30th April 2022: Release of full toolset and baseline system. 1st May 2022: Registration for challenge entrants opens. 25th July 2022: Evaluation data released 1st Sept 2022: 1st round submission deadline for evaluation by objective measure 15th Sept 2022: 2nd round submission deadline for listening tests Sept-Nov 2022: Listening test evaluation period. 12th Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. Workshop likely to be a one-day virtual event","keywords":""},{"title":"Submission","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#registration","content":" Teams are required to register using the form below. Please submit one form per team, i.e., providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID and an individualised link to a Google Drive for submitting materials. Loading… info It is important that all teams who are intending to submit an entry complete the registration form no later than 11th June. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of 1500 scenes. For each scene you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON formatted metadata consisting of the audiograms of a set of listeners anda mapping of which listeners will listen to which scenes. For the MBSTOI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. For the listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the CEC1 Data page. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#what-audio-do-i-need-to-submit","content":" You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the MBSTOI evaluation (due 15th June) and the second for the listening tests (due 29th June). MBSTOI evaluation. Signals should be submitted in floating point WAV format with a 44.1 kHz sampling rate. For levels, we will follow the convention in the baseline hearing aid (at the output) and hearing loss models. That is, a +/-1 square wave has RMS = 0 dB FS and corresponds to 120 dB. Listening tests. Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate (due to hardware limitations). You should ensure that any samples that are greater than +1 or less than -1 have been hard-clipped at +/-1 before submission. Here, 0 dB FS corresponds to approximately 100 dB, given the capabilities of the reproduction equipment. These signals will be played as is to the listener panel. We also encourage you to submit your simulated hearing aid code. See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_HA-output.wav and explained on the CEC1 data page. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., E001 and then packaged using zip or tar or any standard packaging tool. The resulting file should be about 2 GB for the first round. "},{"title":"Technical report​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-2021 Workshop. Deadline 22nd June. An author kit and submission instructions are available at the workshop website. A draft of the report needs to be uploaded to the Google Drive along with your MBSTOI signals by 15th June. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules. Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Your report should cite the following document, which provides an overview of the challenge and the baseline system: S. Graetzer, J. Barker, T. J. Cox, M. Akeroyd, J. F. Culling, G. Naylor, E. Porter, and R. Viveros Muñoz, “Clarity-2021 challenges: Machine learning challenges for advancing hearing aid processing,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno, Czech Republic, 2021. The document can be accessed here. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. You will be able to use the same link to upload materials for both the 1st submission, and the 2nd submission if you are selected for the 2nd round. We also encourage you to submit your simulated hearing aid code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cec1/cec1_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cec1/cec1_results#prizes","content":" The Hearing Industry Research Consortium prizes were awarded as follows: The prizes for the MBSTOI evaluation were awarded to the Brno University of Technology team (first place), the Music Tribe team (second place) and theELO-SPHERES Consortium (third place). The University of Sheffield team was not eligible to win prizes due to connections with the organisers. The overall prizes for the listening test evaluation were awarded to the University of Oldenburg team (first place) and the ELO-SPHERES Consortium (second place). In the noise interferer category, the University of Oldenburg and Googlears teams were the best performers, while in the speech interferer category, the University of Oldenburg team and ELO-SPHERES Consortium were the best performers. For a discussion of the differences in performance for the noise and speech interferers, see the [YouTube video]. The Amazon student prizes were awarded to Katerina Zmolikova from the Brno University of Technology team (first place), Tomas Gajecki from the Medical University Hannover team (second place), and Xi Chen from Shenzhen University, who was an intern at Tencent while working on this challenge (third place). Congratulations to all our prize the winners! "},{"title":"Listening Tests","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_listening_tests","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#overview","content":" Our panel members will be provided with a tablet preloaded with our Listen@Home software and headphones to complete the listening experiment. They will listen to an entrant’s sentence, respond verbally with what they think was said by the target talker, and then move on to the next sentence. Their response will be recorded by the tablet microphone(s) and then processed using automatic speech recognition. Intelligibility will be evaluated as the number of words identified correctly in the sentence. Our plan is that each listener will evaluate 1,200 sentences, which is about 4 hours of listening, and that every listener will evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible. Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn. "},{"title":"Listen@Home hardware​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#listenhome-hardware","content":" We will be using a Lenovo 10e Chromebook running Android 81.0 and Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. Without loudness-recruitment measures for our listeners, we cannot be sure just what loudnesses every participant will hear, so we need to allow them to make the choice here. We have measurements on the output capability of a system in the laboratory: A 1 kHz pure tone set to be the most powerful it can be (i.e., an amplitude range of +/-1 = RMS amplitude of 0.707, and the volume controls at 100%) gave 99 dB(A) SPL on the PC-8 headphones.An ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3, gave 90 dB(A) at the same volume level. With this RMS, the noise had 0.1% of its samples clipped at +/- 1. It is important to note that there is a convention for the prediction model that a +/-1 square wave has RMS = 0 dB FS and corresponds to 120 dB, while for listening tests, 0 dB FS corresponds to approximately 100 dB, given the above capabilities of the reproduction equipment. For the listening tests, we will require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate (see this page). We will play the signals as is using a HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"References​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#references","content":" [1] ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"Additional Tools","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_additional_tools","content":"","keywords":""},{"title":"Hearing loss model​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#hearing-loss-model","content":" This is an open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge [1, 2]. Inputs: A stereo wav audio signal, e.g., the output of the hearing aid model and audiograms for left and right ear.Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"Differentiable source separation and hearing aid amplification modules​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#differentiable-source-separation-and-hearing-aid-amplification-modules","content":" The modules are from the Sheffield E009 system in CEC1. The source separation module is a multi-channel Conv-TasNet optimised with a SNR objective. The hearing aid amplification module is an FIR filter optimised with an objective, which is the combination of a differentiable approximation to the hearing loss model and a STOI loss. Inputs: six channels of mixed signals, i.e., mixed_CH1.wav, mixed_CH2.wav, and mixed_CH3.wavOutputs: a single channel enhanced signal, therefore two source separation and amplification modules for left and right ears need to be optimised for the enhanced binaural signal. "},{"title":"Speech intelligibility model (MBSTOI)​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#speech-intelligibility-model-mbstoi","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI) [3]. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections 'turned off', specified as 'target_anechoic'), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#references","content":" Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"CEC2 Download","type":0,"sectionRef":"#","url":"docs/cec2/cec2_download","content":"","keywords":""},{"title":"Software​","type":1,"pageTitle":"CEC2 Download","url":"docs/cec2/cec2_download#software","content":" All the necessary software tools are available as a single GitHub repository. We recommend installing the software first and then following the instructions in the repository's README for downloading and unpacking the data. "},{"title":"Data​","type":1,"pageTitle":"CEC2 Download","url":"docs/cec2/cec2_download#data","content":" The data is available for download here. On the download site you will see three data packages are available, clarity_CEC2_core.v1_1.tgz [28 GB] - metadata and dev setclarity_CEC2_train.v1_1.tgz [69 GB] - scenes for training systemsclarity_CEC2_hoairs.v1_0.tgz [144 GB] - impulse responses for generating extended training data All participants will require the core data package. Participants using machine learning approaches will additionally require the train data package. Participants wishing to extend the training set by using our provided scene rendering tools will also require the high order ambisonic impulse responses (i.e., the hoairs package). To unpack the data we recommend you follow the instructions in the Clarity Challenge GitHub repository. danger If you previously downloaded v1_0 of the core and train data, please replace your data with v1_1: an error was found in the head rotations for the initial data release. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cec2/cec2_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cec2/cec2_results#prizes","content":" The Hearing Industry Research Consortium prizes for systems with the best HASPI score were awarded as follows: 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge 3rd place: System E008_hr, Ouyang et al., The Orka Inc Entry to the 2nd Clarity Enhancement Challenge The Hearing Industry Research Consortium prizes for systems providing the best listener intelligibility scores were awarded as follows: 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge 3rd place: System E037, Lei et al., The Nanjing University / Horizon Robotics system for the 2nd Clarity Enhancement Challenge Congratulations to the winners! "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_baseline","content":"","keywords":""},{"title":"Baseline performance​","type":1,"pageTitle":"Baseline System","url":"docs/cec2/software/cec2_baseline#baseline-performance","content":" The average speech intelligibility (HASPI) score for the unprocessed development test set is 0.1615. When processed with the simple baseline hearing aid (i.e., NALR amplification followed by a simple automatic gain compressor) the average HASPI score increases to 0.2493. These results are summarised in the table below. Your task is to improve on the 0.2493 baseline HASPI score. System\tHASPIUnprocessed\t0.1615 NAL-R baseline\t0.2493 "},{"title":"References​","type":1,"pageTitle":"Baseline System","url":"docs/cec2/software/cec2_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (haspi) version 2. Speech Communication, 131, pp.35-46. "},{"title":"Find collaborators","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_find_a_team","content":"Find collaborators If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators. We encourage everyone to join the Clarity Challenge’s Google group to stay updated with project news and announcements. We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group). You are welcome to contact us if you have any questions about forming a team or participating in the challenge: Email the Clarity Team","keywords":""},{"title":"CEC2 Prizes","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"CEC2 Prizes","url":"docs/cec2/taking_part/cec2_prizes#the-team-prize","content":" Team prizes have been made available by the generosity of the Hearing Industry Research ConsortiumThere will be separate HASPI and listening test prizes for the top systems. HASPI prize 1st Place $1000 2nd Place $500 3rd Place $250 Listening Test prize 1st Place $1000 2nd Place $500 3rd Place $250 info Anonymous entries and those with direct links to the Clarity project team are ineligible for cash prizes, sorry. "},{"title":"Scene Generation","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_scene_generation","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"Scene Generation","url":"docs/cec2/data/cec2_scene_generation#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg. "},{"title":"CEC2 Submission","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_submission","content":"","keywords":""},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of 1500 scenes. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of the audiograms and DTT results for a set of listeners anda mapping of which listeners will listen to which scenes. There will also be some clean audio examples for the target talker, that are not the same as the target utterance. For the stage 1 HASPI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. For the stage 2 listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the CEC2 Data page. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#what-audio-do-i-need-to-submit","content":" You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the HASPI evaluation and the second for the listening tests (see submission dates above). Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate, and 0 dB FS corresponds to 100 dB SPL, given the capabilities of the listening test reproduction equipment. The format of signals submitted for HASPI evaluation and for the listening tests is the same. We also encourage you to submit your simulated hearing aid code. See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_HA-output.wav and explained on the CEC2 data page. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., E001 and then packaged using zip or tar or any standard packaging tool. The resulting file should be about 2 GB for the first round. "},{"title":"Technical report​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-2022 Workshop. Deadline - see date above. An author kit and submission instructions will be made available.A draft of the report needs to be uploaded to the Google Drive along with your HASPI signals - see above for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules.Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. You will be able to use the same link to upload materials for both the 1st submission and the 2nd submission if you are selected for the 2nd round. We also encourage you to submit your simulated hearing aid code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"CEC2 Rules","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions.The organisers may enter the challenge themselves but will not be eligible to win prizes. "},{"title":"Transparency​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Anonymous entries are allowed but will not be eligible for prizes.Teams may reserve the right to be referred to using anonymous code names in the published rank ordering. "},{"title":"What information can I use?​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#training-and-development","content":" There is no limit on the amount of training data that can be generated using our tools and training data sets. Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation, the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferers for each hearing aid microphone).The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results).The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.)The head-rotation signal (but if used, a version of the system that does not use it should also be prepared for comparison.) "},{"title":"Computational restrictions​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#computational-restrictions","content":" Teams may choose to use all, some or none of the parts of the baseline model.Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#submitting-multiple-entries","content":" You can submit two entries, where one is optimised for HASPI and the other for listening tests if you wish. In this case: Both systems must be submitted for HASPI evaluation.You must register two teams, submitting each entry as a different team.In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries.head-rotation: if the head-rotation signal is used then a second entry must be submitted that does not use it and allows the benefit to be measured. We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#evaluation-of-systems","content":" "},{"title":"Stage 1: Objective evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#stage-1-objective-evaluation","content":" Entries will be ranked according to average HASPI score across all signals in the evaluation dataset. We will use the HASPI implementation in the baseline system. "},{"title":"Stage 2: Listening test evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#stage-2-listening-test-evaluation","content":" There is a limit on how many systems can be evaluated by the listener panel.A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches.We will choose which will go to the listener panel based on The top N scored using the objective metric HASPI.A sample of M others that use contrasting and promising approaches. "},{"title":"Intellectual property​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive licence to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"Listening Tests","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_listening_tests","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#overview","content":" The listeners will be provided with a USB stereo headset to complete the listening experiment. The experiment will be run by our “Listen@Home” web software running on either the participant’s own computer or a tablet we supply. The software plays each sentence once, then the participant speaks aloud what they think was said by the target talker. Their response is recorded by the headset’s microphone for offline scoring. We ask that the participant uses a quiet room for the experiment. Intelligibility will be evaluated as the number of words identified correctly in the sentence. Our plan is that each listener will undertake a few hours of listening and evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible. Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn. "},{"title":"Listen@Home hardware​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#listenhome-hardware","content":" We will be using Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. Without loudness-recruitment measures for our listeners, we cannot be sure just what loudnesses every participant will hear, so we need to allow them to make the choice here. We have measurements of the output capability of a system in the laboratory: A 1 kHz pure tone set to be the most powerful it can be (i.e., an amplitude range of +/-1 = RMS amplitude of 0.707, and the volume controls at 100%) gave 99 dB(A) SPL on the PC-8 headphones.An ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3, gave 90 dB(A) at the same volume level. With this RMS, the noise had 0.1% of its samples clipped at +/- 1. Due to the above capabilities of the reproduction equipment, in the submitted signals, 0 dB FS should correspond to 100 dB SPL. We will also require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate. We will play the signals as is using an HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"References​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#references","content":" ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"CEC2 FAQ","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_core_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#a-scene-generator","content":" Fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, HOA-IRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid consists of a NAL-R fitting amplification stage [1] followed by a simple automatic gain compressor. It produces output signals in 16-bit wav format ready for HASPI or listening test evaluation. Inputs: Inputs for each hearing aid channel and audiograms to characterise the listeners.Outputs: Stereo hearing aid (HA) outputs signals. "},{"title":"C. HASPI Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#c-haspi-speech-intelligibility-model","content":" Python implementation of the Hearing Aid Speech Perception Index (HASPI) model which is used for objective intelligibility estimation. This will be used in the stage 1 evaluation of entrants (see Rules). Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#references","content":" [1] Byrne, Denis, and Harvey Dillon. "The National Acoustic Laboratories'(NAL) new procedure for selecting the gain and frequency response of a hearing aid." Ear and hearing 7.4 (1986): 257-265. "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_dates","content":"Important Dates 16th November 2021: Launch of challenge, release of data.23rd November 2021: Webinar to introduce the challenge 15:00-17:00 UK time.1st March 2022: Release of evaluation data.21st March 2022: Submission deadline. All entrants submit their predictions plus a draft of their technical report. Scores will be returned with 24 hours of submission.28th March 2022: Deadline for Interspeech paper submission.25th April 2022: Deadline by which all entrants must submit two page technical reports to Clarity Prediction Challenge 2022 workshop.29th June 2022: Clarity Prediction Challenge 2022 workshop.Sept 18-22, 2022: Interspeech 2022 Special Session.","keywords":""},{"title":"Contact Us","type":0,"sectionRef":"#","url":"docs/contact","content":"","keywords":""},{"title":"Send us an email​","type":1,"pageTitle":"Contact Us","url":"docs/contact#send-us-an-email","content":" You can contact the Clarity Team by email at claritychallengecontact@gmail.com "},{"title":"Join the Google group​","type":1,"pageTitle":"Contact Us","url":"docs/contact#join-the-google-group","content":" If you wish to stay updated with Clarity Challenges please sign up the Clarity Challenge’s Google group "},{"title":"Download","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_download","content":"Download The following challenge data are available for download: The challenge training data is available for download as a single 13 GB file, clarity_CPC1_data.v1_1.tgzThe evaluation data in now available (1st March) for download as a single 6 GB file, clarity_CPC1_data.test.v1.tgz. The evaluation data should be untarred into the same root as the training data. The Github repository containing the baseline code is here. The repository contains code for CPC1 and also for the earlier enhancement challenge CEC1. You will find all the necessary instructions for installing the data and setting up the baseline system: i.e. running the MSBG hearing loss model and MBSTOI intelligibility prediction stage. We will be making a further small release in early December to specify the final evaluation metrics that we will be using to rank entries. info The Challenge is now closed but the data is still available for anyone to use. If using the data please cite the following paper Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022.","keywords":""},{"title":"The 3nd Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec3/cec3_intro","content":"","keywords":""},{"title":"Overview of challenge​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#overview-of-challenge","content":" The challenge provides participants with hearing aid input signals representing scenes containing a target speaker. Participants are asked to process the signals to provide hearing aid output signals that will be intelligible to hearing-impaired listeners. The challenge is evaluated using standard objective speech intelligibility metrics but also with listening tests with hearing-impaired listeners. The challenge will be organised into two Tracks which extend the previous 2nd Clarity Enhancement Challenge in complementary directions. Further details of the tracks are presented below. "},{"title":"Track 1: Real hearing aid signals​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#track-1-real-hearing-aid-signals","content":" In the previous CEC2 challenge, hearing aid input signals were simulated using pre-recorded audio sources mixed with simulated room impulse responses and hearing aid head-related transfer functions. In this track, we provide participants with scenes that use the same domestic living room scenario, but which are closer to real hearing aid signals. There will be two types of data: First, the same as CEC2 but now using measured impulse responses from a real room.Second, using acoustic scenes that have been recorded over real hearing-aid shells worn by a listener who is actively engaged in the scene. For the second case, the recordings will be subject to natural head movements and accurate head movement data will be provided for training purposes. "},{"title":"Track 2: Real dynamic background noises​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#track-2-real-dynamic-background-noises","content":" In all previous Clarity challenges, the interfering signals have been static and carefully controlled. In this track, we will use naturally occurring, dynamic noise backgrounds. We are collecting a dataset of 64-channel ambisonic audio recordings from settings that hearing-impaired listeners find challenging. These include train stations, roadsides and large social gatherings (i.e., the 'cocktail party' scenario). Using these recordings and measured impulse responses, we will create a dataset of hearing aid input signals feature target sentences in dynamic background noise. For both tracks, we will be providing standard training, development and evaluation datasets. The training and development datasets will be released at the start of the challenge. The evaluation dataset will be released shortly before the submission deadline without reference signals. Participants will then be asked to submit their processed signals for remote evaluation. Further details of the challenge tracks will be presented on this site in the run-up to the official launch of the challenge on 30th March. To stay up to date please sign up for the Clarity Challenge’s Google group. "},{"title":"Important Dates​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#important-dates","content":" Key dates are as follows 2nd April 2024: Challenge launch with dataset and baseline software 25th July 2024: Evaluation data released 1st Sept 2024: 1st round submission deadline for evaluation by objective measure 15th Sept 2024: 2nd round submission deadline for listening tests Sept-Nov 2024: Listening test evaluation period. Dec 2024: Results announced at a Clarity Challenge Workshop; prizes awarded. The workshop is likely to be a one-day virtual event. Date to be decided. "},{"title":"CEC2 Registration","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_registration","content":"CEC2 Registration Teams are required to register using the form below. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials. Loading… Registration closes on August 28th, but earlier registration will help us to plan for the listening tests.","keywords":""},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cpc1/software/cpc1_baseline","content":"Baseline System Figure 1 is a simplified schematic of the baseline system, where not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener; hence, there is also a system to select a random listener (white ellipse) with a particular set of characteristics (e.g., audiograms). The SPIN that has been improved by the hearing aid is then passed to the prediction stage (orange box). This comprises two models: a hearing loss model, anda binaural speech intelligibility model. This prediction stage (orange box) is what we want you to improve on in this challenge. Figure 1 Simplified overview of the baseline. You are free to choose which parts of the baseline you use and reconfigure the system as you see fit. You can use our hearing loss model as part of your entry, or produce a single model that combines the hearing loss and speech intelligibility models. For an introduction to elements of the prediction model, please see our FAQ, which includes an overview of Speech intelligibility, andHearing loss and what hearing aids do. For the prediction challenge, most examples of the improved SPIN shown in the centre of the diagram come from hearing aid models created by the entrants to the first Enhancement Challenge. Therefore, most audio signals in the prediction challenge data were not processed by the baseline hearing aid model. More details of the different parts of the baseline appear on the software page. See the following sections: Scene GeneratorHearing aid modelHearing loss modelSpeech intelligibility model Download baseline software and data.","keywords":""},{"title":"The 1st Clarity Prediction Challenge","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_intro","content":"","keywords":""},{"title":"Key dates (updated 14/01/22)​","type":1,"pageTitle":"The 1st Clarity Prediction Challenge","url":"docs/cpc1/cpc1_intro#key-dates-updated-140122","content":" 16th November 2021: Launch of challenge, release of data.23rd November 2021: Webinar to introduce the challenge 15:00-17:00 UK time.1st March 2022: Release of evaluation data.21st March 2022: Submission deadline. All entrants submit their predictions plus a draft of their technical report (details below). Scores will be returned with 24 hours of submission.28th March 2022: Deadline for Interspeech paper submission.25th April 2022: Deadline by which all entrants must submit two page technical reports to Clarity Prediction Challenge 2022 workshop.29th June 2022: Clarity Prediction Challenge 2022 workshop.Sept 18-22, 2022: Interspeech 2022 Special Session. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cpc1/cpc1_results#prizes","content":" The Hearing Industry Research Consortium prizes for best system were awarded as follows: 1st place: System E33, Zezario et al, MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids for best performance for a non-intrusive system, 2nd place: System E30, Huckvale et al, ELO-SPHERES Intelligibility Prediction Model for the Clarity Prediction Challenge 2022 for best performance of an intrusive system, 3rd place: System E019, Röttges et al., Speech Intelligibility Prediction for Hearing-Impaired Listeners with the bBSIM-STI Model for best performance in the open-set track The Hearing Industry Research Consortium prizes for best student contribution were awarded as follows: 1st place: Ryandhimas Zezario from the National Taiwan University, 2nd place: Franklin Yohan Alvarez Cardinale from Medizinische Hochschule Hannover, Germany 3rd place: Jana Rossbach from Carl von Ossietzky University, Oldenburg, Germany. Congratulations to the winners! (Note, systems E29 and E32 had links to the organizers and so were not eligible for prizes). "},{"title":"More details​","type":1,"pageTitle":"The 1st Clarity Prediction Challenge","url":"docs/cpc1/cpc1_intro#more-details","content":" Scenario - a description of the listening scenario and how it has been simulated. Baseline System - a description of the baseline software model. Data - the data that can be used to train and evaluate your system during development. Software - the software tools that we are providing to help you build and evaluate a challenge entry. Challenge Rules - the rules to which all challenge entries must adhere. Submission - information about how to prepare your submission. Prizes - information about our prizes. Download - where to go to download the software and challenge data. Find a team - if you'd like to find collaborators to help you compete. FAQ - an extensive FAQ answering key questions and providing background knowledge to help you compete. "},{"title":"CEC2 Data","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#a-training-development-evaluation-data","content":" The dataset of 10,000 scenes is split into three: Training (train).Development (dev).Evaluation (eval). Uses of the data: You should not use the development or evaluation data set for training.The system submitted should be chosen on the evidence provided by the development set.The final listening and ranking will be performed with the (held-out) evaluation set.For more information on augmenting and supplementing the training data, please see the rules.The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b-the-scene-dataset","content":" The complete dataset is composed split into the following sets: Training (6000 scenes, 24 speakers);Development (2500 scenes, 10 speakers);Evaluation (1500 scenes, 6 speakers). Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers. The training, development and evaluation sets are disjoint with respect to the target speakers. The three sets are balanced for the gender of the target talker. High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on scene generation for more details. Time-domain acoustic signals are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files and ac files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials. "},{"title":"B.1 Training data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears).The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate HOA-IRs and downmixed;The interferers convolved with the appropriate HOA-IRs and downmixed;The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid) The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (‘target_anechoic’). For use as a reference when computing HASPI scores.Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.A signal describing the head rotation (i.e. azimuthal angle at each sample) "},{"title":"B.2 Development data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b2-development-data","content":" This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set) Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended. Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section B.3). When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below). "},{"title":"B.3 Evaluation data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b3-evaluation-data","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)Speaker adaptation sentence - 4 clean utterances for each target speaker. One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities: The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture.The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics. These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking. "},{"title":"C Listener data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them. The same types of data are available for training, development and evaluation. A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English. The quantification of the listeners’ hearing is done with: Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound.Results from the DTT (digit-triplet test, also known as a triple digit test)​ The audiogram is the standard clinical measurement of hearing ability. It’s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., British Society of Audiology Recommended Procedure. Typically it’s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. CAMFIT, NAL-NL2 or DSL . Note that the scale of an audiogram is in “dB HL” = “dB Hearing Level”. This is not dB SPL; instead, it’s relative to an international standard such that 0-dB is “normal hearing” at every frequency. For background see Why the Audiogram Is Upside-down | The Hearing Review and The Quest for Audiometric Zero | The Hearing Review The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al.'s high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations used in filenames​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d1-abbreviations-used-in-filenames","content":" The following abbreviations are used consistently throughout the filenames and references in the metadata. R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d2-general","content":" Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones.0 dB FS in the audio signals corresponds to 100 dB SPL.Metadata will be stored in JSON or csv format as appropriate with the exception of Room descriptions are stored as RAVEN project ‘rpf’ configuration files and ‘ac’ files. (However, key details are reflected in the scene.json files) Signals are saved within the Python code as 32-bit floating point by default.Output signals for the listening tests will be required to be in 16-bit format. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was given to the talkers to say.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d4-source-audio-files","content":" Wav files containing the original source materials. Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav<Scene ID>_interferer_<Channel ID>.wav<Scene ID>_mixed_<Channel ID>.wav<Scene ID>_target_anechoic.wav - at hearing device front microphone<Scene ID>_hr.wav - head rotation signal Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone The anechoic signal is the signal that will be used as the referernce in the HASPI evaluation. The head rotation signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured. "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d6-enhanced-signals","content":" The signals that are output by the baseline enhancement (hearing aid) model. <Scene ID>_<Listener ID>_HA-output.wav #HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel. "},{"title":"D.7 Room metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d7-room-metadata","content":" JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene. rooms.json [ { "name": "R00001", // ID of room linking to RAVEN rpf and ac files "dimensions": "6.9933x3x3", // Room dimensions in metres "target": { // # target positions (x,y,z) and view vectors (look directions, x,y,z) "position": [-0.3, 2.4, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "listener": { "position": [-0.1, 5.2, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "interferers": [ { "position": [0.4, 4.0, 1.2], }, { // # etc, up to three interferers } ], }, ... ] "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d8-scene-metadata","content":" JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section D.7) plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings. scenes.json [ { "scene": "S00001", // the unique scene ID "room":: "R00001", // ID of room linking to rooms.json "target": { "name": "T005_JYD_04274", // target speaker code and BNCid "time_start": 107210, // start time of target in samples "time_end": 217019 // end time of target in samples }, "listener": { "rotation": [ // Defines the head motion - list of time, direction pairs { "sample": 88200, "angle": 30 // Azimuth angle in degrees }, { "sample": 176400, "angle”: 50 } ], "hrir_filename": ["VP_N4-ED", "VP_N4-BTE_fr", "VP_N4-BTE_mid", "VP_N4-BTE_rear"] // HRIR filename for each channel to generate }, "interferers": [ { "position": 1, // Index of interferer position (See rooms.json) "time_start": 0, // time of interferer onset in samples "time_end": 261119, // time of interferer offset in samples "name": "track_1353255", // interferer name "type": "music", // interferer type: speech, noise or music "offset": 4076256 // index into interferer file at which to extract sample }, { // etc, up to three interferers } ], "dataset": "train", // the dataset to which the scene belongs: train, dev or eval "duration": 261119, // total duration of scene in samples "SNR": 6.89 // targe SNR for the scene }, ... ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room. The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section D.9). Noise interferers are labelled with a type “music”, “noise” or “speech” and then have a unique name identifying the file. For speech: <ACCENT_CODE>_<SPEAKER_ID> where ACCENT_CODE is a three letter code identify the accent region and gender of the speaker and SPEAKER_ID is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK midlands accented female, speaker 02484. The speech comes from Demirshan et al. [1] which provides more details.For noise: CIN_<NOISE_TYPE>_<NOISE_ID> where NOISE_TYPE is one of dishwasher, fan, hairdryer, kettle, microwave, vacuum (vacuum cleaner) or washing (washing machine) and NOISE_ID is a unique 3-digit code for the sample.For music: track_<TRACK_ID> where TRACK_ID is unique 7-digit track identifier taken from the MTG Jamendo database. [2] Given the type and name, further interferer metadata can be found in the files masker_speech_list.json, masker_noise_list.json and masker_music_list.json which are distributed with the challenge. "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d9-listener-metadata","content":" Audiogram data is stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ … ], }, "L0002": { ... }, ... } Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS "},{"title":"D.10 Scene-Listener map​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d10-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003", "L0005", "L0007"], ... } "},{"title":"References​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#references","content":" Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, Avialable OnlineBogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", Available Online "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cpc1/taking_part/cpc1_prizes#the-team-prize","content":" There will be separate prizes for the top contributions by students and non-students.There will be a separate prize for the best performing non-intrusive model.Students eligible for the prize are expected to have made a significant contribution and be first author on the workshop paper.Team prizes have been made available by the generosity of the Hearing Industry Research Consortium. General prize 1st Place $1000 2nd Place $500 3rd Place $250 Student prize 1st Place $1000 2nd Place $500 3rd Place $250 info The 1st Clarity Prediction Challenge has now finished. For the details of the systems submitted, results and prize winners, please visit the Clarity-2022 Workshop website. "},{"title":"FAQ","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"The 2nd Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec2/cec2_intro","content":"","keywords":""},{"title":"Overview of challenge​","type":1,"pageTitle":"The 2nd Clarity Enhancement Challenge","url":"docs/cec2/cec2_intro#overview-of-challenge","content":" We want you to improve speech in the presence of background noise - see Figure 1. On the left there is a person with a quantified hearing loss. They are listening to speech from the target talker on the right. They are both in a living room. There is interfering noise from a number of sources (TV and washing machine in this case). The speech and noise is sensed by microphones on the hearing aids of the listener. Your task is to take these microphone feeds and the listener’s hearing characteristics, to produce signals where the speech is more intelligible. We will evaluate the success of your processing using an objective speech intelligibility metric. Some entrants will also be evaluated by a panel of listeners with a hearing impairment. Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound. The scenario has been made more difficult than the first Clarity Enhancement Challenge by having: More noise sourcesMore varied noise sources (speech, music, appliances)The listener turns their head during the talking.Less predictable target onset timing. For more details use the contents pane on the left to navigate the CEC2 site. "},{"title":"Baseline system","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_baseline","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"Baseline system","url":"docs/cpc2/cpc2_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (haspi) version 2. Speech Communication, 131, pp.35-46. "},{"title":"Submission","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#registration","content":" Teams are required to register to help us organise the challenge. Registered teams will be assigned a unique team ID. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems. The evaluation data is available for download here clarity_CPC1_data.test.v1.tgz. See the download page for more details. Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours for of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results. "},{"title":"What do I need to submit?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#what-do-i-need-to-submit","content":" All teams must submit Their predicted intelligibility scoresAn Interspeech paper describing their work (encouraged)A two page technical report (mandatory) "},{"title":"The predicted intellgibility scores​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#the-predicted-intellgibility-scores","content":" You must submit your predicted intelligibility scores for the signals provided. The predictions should be sent in CSV format files with two columns: signal_ID, intelligibility_score Where the signal_ID is the unique signal identifier used for the wav file name (e.g., S08510_L0239_E001) and intelligibility_score is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., for 0 to 100). Your CSV files should be named as follows CPC1_<TEAM_ID>.test.csv and CPC1_<TEAM_ID>.test_indep.csv for closed set and open set evaluations respectively, where <TEAM_ID> is your individual team ID, e.g. 'E001'. The files should be sent as email attachments to the email address: claritychallengecontact@gmail.com Please use "CPC1 Submission <TEAM_ID>" as the subject line. We also encourage you to submit your prediction model(s) code. info All registered teams will be emailed with their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline. "},{"title":"Interspeech paper submission​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#interspeech-paper-submission","content":" All teams are strongly encouraged to submit a paper describing their work to the Interspeech 2022 Special Session "Speech Intelligibility Prediction for Hearing-Impaired Listeners". Interspeech submission instructions are here https://interspeech2022.org/forauthor/submissions.php The Interspeech papers need to be initially submitted by March 21st (title and abstract), with the full paper due on March 28th. "},{"title":"The technical report​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#the-technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-CPC1-2022 Workshop. Deadline 25th April 2022. An author kit and submission instructions will be made available. A draft of the report needs to be submitted along with your predictions by 21st March. The draft needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates here. Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules. Your report should cite the following document, which provides an overview of the challenge and the baseline system: Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022. The document can be accessed here. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Rules","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#teams","content":" Teams must have registered and nominated a contact person.Teams can be from one or more institutions.Teams can comprise up to 10 persons.The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system(s)/model(s) and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.If a group of people submits multiple entries, they cannot win more than one prize in a given category.All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced. "},{"title":"Intellectual property​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"What information can I use?​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#training-and-development","content":" For Track 1 (closed-set), teams should use the signals and listener responses provided in the CPC1.train.json file.Track 2 (open-set), teams should use the signals and listener responses provided in the smaller CPC1.train_indep.json. In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The FAQ gives links to some models that might be used for this. Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#evaluation","content":" The only data that can be used by the prediction model(s) during evaluation are The output of the hearing aid processor/system.The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata.The prompt for the utterances (the text the actors were given to read) If you use text from the speech prompts as part of evaluating the systems, we will classify that as an intrusive method for the purpose of awarding prizes. "},{"title":"Baseline models and computational restrictions​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#baseline-models-and-computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.There is no limit on computational cost.Models can be non-causal. "},{"title":"What sort of model do I create?​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#what-sort-of-model-do-i-create","content":" You can create either a single prediction model that calculates speech intelligibility given a listener's hearing characteristics (that is, the metadata provided), or you can submit separate models of hearing loss and speech intelligibility.You should report the speech intelligibility for the whole sentence for each audio sample/listener combination. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#submitting-multiple-entries","content":" If you wish to submit multiple entries, All systems/models must be submitted for evaluation.Your systems must have significant differences in their approach.You must register multiple teams, submitting each entry as a different team.In your documentation, you must make it clear how the submissions differ. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#evaluation-of-systems","content":" Entries will be ranked according to their performance in predicting measured intelligibility scores. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cec1/data/cec1_scenario","content":"","keywords":""},{"title":"Simulating the audio signals received by the hearing aid​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#simulating-the-audio-signals-received-by-the-hearing-aid","content":" A listener – or receiver – is sitting or standing in a small room that has low to moderate reverberation. The person is listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity utterances. Simultaneously, an interferer sound is playing; this is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). An example scenario is shown in Figure 1. The room geometry showing origin location is defined in Figure 2. Example SceneRoom Geometry Figure 1. Example overview. Figure 3, below, shows the basic scene generator. The sound at the receiver is generated first by convolving the source signals with Binaural Room Impulse Responses (BRIRs). The reverberated speech and noise signals are then summed after appropriate gains are applied. The gains are set to achieve a Signal-to-Noise Ratio (SNR), which is chosen pseudo-randomly between limits. The BRIRs are generated using the RAVEN Geometric Room Acoustic Model [1]. There are additional signal paths and outputs generated that have been omitted from Figure 3 for clarity. In addition to the reverberated signals associated with the hearing aid microphones, the signal close to the eardrum is also generated. You can also access the reverberated speech and noise signals before they are mixed. Figure 3. Simplified diagram of the scene generator. RIR refers to Room Impulse Response, HRTFs refers to Head Related Transfer Functions, SNRs are signal-to-noise ratios, and gain calc. indicates gain calculation. Dry here means anechoic. The outputs are noisy speech signals. "},{"title":"Room Geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#room-geometry","content":" Cuboid rooms with dimensions length, LLL, by width, WWW, by height, HHH.Length LLL set using a uniform probability distribution random number generator with 3≤L(m)≤83 \\le L (m) \\le 83≤L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7m2.7 m2.7m and standard deviation of 0.8m0.8 m0.8m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7m217.7 m^217.7m2 and standard deviation of 5.5m25.5 m^25.5m2. "},{"title":"Room Materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least at 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The receiver​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2m1.2 m1.2m (sitting) or 1.6m1.6 m1.6m (standing). The receiver is positioned so as to be roughly facing the target talker. That is to say, within ±30\\pm 30±30 degrees of target. The angle = 7.5n7.5n7.5n where nnn is an integer and ∣n∣≤4|n| \\le 4∣n∣≤4. "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. "},{"title":"The interferer​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-interferer","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) The interferer is a single point source radiating speech or non-speech noise omnidirectionally. It is placed within the room using uniform probability distribution random number generators for the coordinates. These constraints ensure the interferer is not too close to the wall or receiver. It is set to be at the same height as the receiver. Note, this means that the interferer can be at any angle relative to the receiver. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ "},{"title":"Timing​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#timing","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"Signal-to-Noise Ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#signal-to-noise-ratio-snr","content":" The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. Note that the interferer can be at any azimuth from the point of view of the listener/receiver. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen using a uniform probability distribution random number generator between the limits of ranges specified for the speech and non-speech interferers. The better ear SNR, here termed BE_SNR, which models the better ear effect in binaural listening, is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the interferer that overlaps with the target (without padding) , i‘, and the target (without padding), t‘, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i‘ and t’ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The whole interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050];Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001]; Figure 4, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"Obtaining the data","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_download","content":"Obtaining the data The following challenge data are available for download: The challenge data is available for download as a single 11 GB file, clarity_CPC2_data.v1_1.tgz.The evaluation data is now available for download as a single 478 MB file, clarity_CPC2_data.test.v1_0.tgz. The evaluation data should be untarred into the same root as the training data. The Github repository containing the baseline code is here. The repository contains code for CPC2 and also for the earlier enhancement and prediction challenges, i.e., CEC1, CEC2 and CPC1. You will find all the necessary instructions for installing the data and running the baseline system.","keywords":""},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_dates","content":"Important Dates All dates are to be intended anywhere on earth time (AoE). 1st March 2023: Launch of challenge, release of data.1st July 2023: Release of evaluation data and opening of submission window.31st July 2023: Submission deadline. All entrants must have submitted their predictions plus a draft of their technical report. Scores will be returned to entrants within 24 hours of submission. 19th August 2023: Clarity 2023 workshop.19th September 2023: Deadline for submission of finalised Workshop papers Please note that while workshop attendance is not a pre-requisite for participation in the challenge, we strongly encourage all entrants to attend the workshop to present their work.","keywords":""},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_scenario","content":"","keywords":""},{"title":"Brief overview of random scenario generation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#brief-overview-of-random-scenario-generation","content":" The scenarios are for: Small rooms that have low to moderate reverberation with randomized dimensions and locations of materials such as carpets.The locations of the listener, target and interferer are randomized.The target talker is selected from our set of 40 speakers.The target talker produces a randomly chosen 7-10 word utterance.There are two or three interferer sounds running throughout the audio. This can be a: stream of competing speech;continuous domestic noise source (e.g., a washing machine); ormusic source. The target speech source will onset about one second into the scene.The listener starts not looking at the target talker, but around the time the target speech starts, the listener rotates their head to approximately face towards the target. An example scenario is shown in Figure 1. It also defines the coordinate system and origin for the room generation. Figure 1, An example scenario with two noise interferers. "},{"title":"Room geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#room-geometry","content":" Cuboid rooms with dimensions length LLL by width WWW by height HHH.Length LLL set using a uniform probability distribution random number generator with 3<L(m)≤83 < L(m) \\le 83<L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7 m and standard deviation of 0.8 m.Area L×WL×WL×W set using a Gaussian distribution random number generator with mean 17.7 m2^22 and standard deviation of 5.5 m2^22 "},{"title":"Room materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The listener (receiver)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-listener-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2 m (sitting) or 1.6 m (standing). "},{"title":"Head rotation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#head-rotation","content":" The listener is initially oriented away from the target and will turn to be roughly facing the target talker around the time when the target speech starts Orientation of listener at start of the sample ~25° from facing the target (standard deviation = 5°), limited to +-2 standard deviations.Start of rotation is between -0.635 s to 0.865s (rectangular probability)The rotation lasts for 200 ms (standard deviation =10 ms)Orientation after rotation is 0-10° (random with rectangular probability distribution). "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. The target speech starts between 1.0 and 1.5 seconds into the mixed sound files (rectangular probability distribution). "},{"title":"The interferers​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-interferers","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) Each interferer is modelled as an omnidirectional point source. They will be radiating: speech, noise or music. They are placed within the room using uniform probability distribution random number generators for the coordinates. The following constraints ensure the interferer is not too close to the wall or listener. However, interferers are independently positioned with no constraint on their position relative to each other. They are set to be at the same height as the listener. Note, this means that the interferers can be at any angle relative to the listener. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ The interferers are present over the whole mixed sound file. "},{"title":"Signal-to-noise ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#signal-to-noise-ratio-snr","content":" The SNR of the mixtures are engineered to achieve a suitable range of speech intelligibility values. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the summed interferers that overlaps with the target (without padding), i′i'i′, and the target (without padding), t′t't′, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i′i'i′ and t′t't′ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The summed interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The frequency response is shown in Figure 2. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050]Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001] Figure 2, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cpc2/taking_part/cpc2_prizes#the-team-prize","content":" There will be a separate prize for the top two systems.Prizes have been made available by the generosity of the Hearing Industry Research Consortium. 1st Place £700 (GBP) 2nd Place £350 (GBP) info The 2nd Clarity Prediction Challenge has now finished. For the details of the systems submitted, results and prize winners, please visit the Clarity-2023 Workshop website. "},{"title":"FAQ for CPC2","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsupervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantify the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"The Challenge Rules","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_rules","content":"","keywords":""},{"title":"What information can I use?​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#training-and-development","content":" Teams should use the signals and listener responses provided in the CPC2.train.json file. In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The FAQ gives links to some models that might be used for this. Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#evaluation","content":" The only data that can be used by the prediction model(s) during evaluation are described below. For non-intrusive methods: The output of the hearing aid processor/system.The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata. Additionally, for intrusive methods: The target reference signal, i.e. the target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The prompt for the utterances (the text the actors were given to read). "},{"title":"Baseline models and computational restrictions​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#baseline-models-and-computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.There is no limit on computational cost.Models can be non-causal. "},{"title":"What sort of model do I create?​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#what-sort-of-model-do-i-create","content":" You model should report the speech intelligibility for the whole sentence for each audio sample/listener combination, i.e. a single score that represents a prediction of the proportion of words that would be recognised correctlyThe model architecture is entirely up to you, e.g. you can create a model that attempts to recognise individual words and then reduces this down to a proportion, or you can estimate an intelligibility score directly from the audio. Models may have explicit hearing loss model stages or be trained directly to map signals and audiograms to predictions. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#submitting-multiple-entries","content":" If you wish to submit multiple entries, Your systems must have significant differences in their approach.You must contact the organisers to discuss your plans.If accepted you will be issued with multiple Team IDs to distinguish your entries.In your documentation, you must make it clear how the submissions differ. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#evaluation-of-systems","content":" Entries will be ranked according to their performance in predicting measured intelligibility scores.The system score will be taken to be the RMSE between the predicted and measured intelligibility scores across the complete test set.Separate rankings will be made for intrusive and non-intrusive methods.Systems will only be considered if the technical report has been submitted and the system is judged to be compliant with the challenge rules. "},{"title":"Teams​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#teams","content":" Teams must have registered and nominated a contact person.Teams can be from one or more institutions.The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents on the challenge website (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system(s)/model(s) and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.If a group of people submits multiple entries, they cannot win more than one prize in a given category.All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced.Teams are strongly encouraged to submit their report for presentation at the Clarity-2023 Interspeech Satellite Workshop. "},{"title":"Intellectual property​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). The entrants' “Submission” will consist of a set of intelligibility predictions and an accompanying technical report. The Challenge is organised by the “Challenge Organiser”. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"The 2nd Clarity Prediction Challenge","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_intro","content":"","keywords":""},{"title":"Short Description​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#short-description","content":" The task involves estimating the intelligibility of speech-in-noise signals that have been processed by hearing aid algorithms and presented to listeners with hearing loss. Each signal contains a short sentence that the listeners were asked to repeat. The system you build needs to be able to predict how many of the words were recognised correctly by the listeners. It is not expected that systems can do this accurately on a per sentence basis, but rather we will rank systems on this basis of how well they perform over a large evaluation set, i.e., which system produces the lowest average estimation error. The hearing aid signals being assessed vary widely in quality. Examples of good, fair and poor signals are provided below. Your prediction algorithm needs to be able to cope with this variation. Good\tFair\tPoor Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. "},{"title":"The data​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#the-data","content":" You will be provided with a set of training data which you can use to develop your systems. This data consists of Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The corresponding clean reference signals (the original speech);Characteristics of the listeners (pure tone audiograms, etc);The measured speech intelligibility scores from listening tests, where the listener was asked to say what they heard after listening to the hearing aid processed signal. For full details of the data see the Data page. "},{"title":"The task​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#the-task","content":" You will be provided with an evaluation set containing Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The audiogram of a listener;The clean reference signal (the original speech). Your task will be to produce a score (0.0 to 1.0), which should predict the proportion of words in the reference signal that the listener would be able to repeat correctly after listening to the hearing aid processed signal. We will be considering two types of system: intrusive and non-intrusive. Intrusive systems (also known as double-ended) are those that require a clean speech reference, and non-intrusive systems (also known as single-ended) are those that use the hearing aid output alone. Intrusive and non-intrusive systems will be separately ranked according to the RMSE between their predictions and the true values. To help you get started we have provided a baseline system that uses the HASPI metric to predict the speech intelligibility score. Details of this system are available on the Baseline page. For full details of the task see the rules page. "},{"title":"Registering and submitting​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#registering-and-submitting","content":" To take part in the challenge you will need to register your team and download the data. Entrants will have until 31st July to complete their submissions. Full instructions for submission are available on the Submission page. "},{"title":"CPC2 Submission","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#registration","content":" Teams are required to register to help us organise the challenge. Registered teams will be assigned a unique team ID. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems. The evaluation data is will be made available when the submission period opens. See the download page for more details. There will be three evaluation sets (eval1, eval2 and eval3), corresponding to the three three training data partitions. i.e., predictions for the eval1 set should be made with systems trained on the train1 partition; eval2 with train2 and eval3 with train3. Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results. "},{"title":"What do I need to submit?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#what-do-i-need-to-submit","content":" All teams must submit Their predicted intelligibility scoresA two page technical report "},{"title":"The predicted intelligibility scores​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#the-predicted-intelligibility-scores","content":" Scores for each evaluation set should be stored in a separate CSV file named as follows CPC2_<TEAM_ID>.<SET>.csv, where <TEAM_ID> is your individual team ID, e.g. 'E001' and <SET> is the evaluation set number, either 1, 2, or 3. The CSV files should have two columns, signal_ID, intelligibility_score where the signal_ID is the unique signal identifier used for the wav file name (e.g., S08510_L0239_E001) and intelligibility_score is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., from 0 to 100). The three CSV files should be sent as email attachments to the email address: claritychallengecontact@gmail.com Please use "CPC2 Submission <TEAM_ID>" as the subject line. We also encourage you to make your prediction model code available via an open-source license, but this is not a pre-requisite for entry (see challenge rules). info All registered teams will be emailed with a reminder of their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline. "},{"title":"The technical report​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#the-technical-report","content":" The two page technical report must be submitted in the format required for the Clarity-2023 Workshop. The author kit and link for submission can be found on the workshop website. The report needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates here. Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules. Note, you will not have your final evaluation set scores when you submit your report. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). We will then release the groundtruth listener responses the day after the submission deadline (i.e. 1st August) to allow teams to perform further analysis of their results. This extra information can then be included in a revised version of your report, which will be published on the workshop website in time for the workshop itself on 19th August. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"CPC2 Registration","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_registration","content":"","keywords":""},{"title":"Google group​","type":1,"pageTitle":"CPC2 Registration","url":"docs/cpc2/taking_part/cpc2_registration#google-group","content":" If you haven't done so already, please sign up to Clarity's Google group to keep up to date with the challenges. "},{"title":"ICASSP 2023 More ecologically-valid eval set","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_new_evaluation","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#overview","content":" This more ecologically-valid eval set (eval2) has been designed to answer the following research question: Can systems trained on simulated data generalise to more ecologically-valid measurement data? Recordings were carried in a real room using live talkers.The talkers were recorded on both a close microphone and also a 1st-order ambisonic microphone at the listener position. Head rotations are done using the spherical harmonic representation of the sound.HRTFs are applied to get the hearing-aid microphone signals, as for the simulated datasets. The talkers were recorded in noise-free conditions.Noise, music and speech interferers were played from loudspeaker and recorded on the ambisonic microphone.The target talker and intereferer are then mixed to create a scene with a desired SNR.The random positions of the sources and receivers were achieved using the same limitations as applied to the simulated set (e.g. target talker and listener at least 1m apart) Differences between simulated and ecologically-valid datasets: Talkers speaking and behaving different when asked to talk to a distant microphone in a real room.Real room acoustic altering sound instead of simulation using geometric room acoustic model.Directivity of interferers not omni-directional.Transducer noise on the distant ambisonic microphone.Measurements had lower order Ambisonics than used in the simulations. "},{"title":"Environment​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#environment","content":" Recordings were done in the Acoustics Research Centre's listening room at the University of Salford. Mid-frequency reverberation time: 0.27sRoom dimensions: 6.6m × 5.8m × 2.8mBackground noise: 5.7 dBA Figure 1. The listening room (photo not from evaluation set recording). "},{"title":"Equipment​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#equipment","content":" Close microphone: Neumann KM184 cardioidClose microphone preamp: Alice mic.amp.pak1Ambisonic microphone: Sennheiser Ambeo VRInterface: RME Fireface UFXLoudspeaker for interferer: M-audio BX8a "},{"title":"Target speech​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#target-speech","content":" A new set of 1,600 sentences generated from the British National Corpus not previously used by Clarity. These were generated using the same process as before [1]. The sentences were read live by 10 actors: 5 male and 5 female. Ages ranged from 20 to 62.Actors were standing. The talker faced the ambisonic microphone. They were told to talk to that microphone and ignore the close microphone.Recorded in noise-free conditions.Each speaker recorded 160 unique sentences, in blocks of 10 talking positions.A cardioid microphone about 50 cm from the talker recorded the reference speech for HASPI and HASQI. "},{"title":"Interferers​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#interferers","content":" Recordings reproduced by loudspeakers.Recordings of speech, noise and muisc same sources as CEC2 evaluation set.Each interferer recorded separately on the ambisonics microphone.Loudspeaker facing ambisonic microphone "},{"title":"Listener​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#listener","content":" Recordings on a 1st order ambisonics microphone.Front of ambisonic room along x-axis of room.Head rotation done virtually via spherical harmonics with the same statistics as the training set.HRTFs applied to the ambisonic recordings using a virtual loudspeaker set-up to give the signals on the hearing aid microphones. "},{"title":"Talker, noise and listener position​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#talker-noise-and-listener-position","content":" 16 different room layouts (see Figure 2) with random talker, interferer and listener positions. These positions determined using the same protocol as used for the simulation. A block of 10 sentences read for each layout.Sources and receivers at the same height (but some variation in the talker z-coordinate because of height differences in the actors). Figure 2. The 16 layouts. T talker; A ambisonic mic; N noise interferer; S speech interferer; M music interferer. "},{"title":"Publication​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#publication","content":" The target speech and interferers will be mixed to gain the desired signal to noise ratio using the same process as for the simulation set. The dataset will be available 1st February 2023. "},{"title":"Example recordings​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#example-recordings","content":" Recording of script reading by someone not used for the evaluation set. The audio starts 3-4 seconds into the recording. Close microphone: Your browser does not support the audio element. Ambisonic microphone, A-format: Front-left-up: Your browser does not support the audio element. Front-right-down: Your browser does not support the audio element. Back-left-down: Your browser does not support the audio element. Back-right-up: Your browser does not support the audio element. "},{"title":"References​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#references","content":" [1] Graetzer, S., Akeroyd, M.A., Barker, J., Cox, T.J., Culling, J.F., Naylor, G., Porter, E. and Viveros-Muñoz, R., 2022. Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus. Data in Brief, 41, p.107951. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cpc2/cpc2_results#prizes","content":" The Hearing Industry Research Consortium best system prizes were awarded as follows: 1st place: Cuervo and Marxer, Temporal-heirarchical features from noise-robust speech foundation models for non-intrusive intelligibility prediction 2nd place: Mogridge, Close, Sutherland, Goetze and Ragni, Pre-training intermediate ASR features and Human memory simulation for non-intrusive speech intelligibility prediction in the Clarity Prediction Challenge 2 (Note, although 1st and 2nd place systems had very similar RMSE scores, a paired t-test showed that the difference was highly significant). Congratulations to the winners! "},{"title":"Registration","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_registration","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Registration","url":"docs/cpc1/taking_part/cpc1_registration#registration","content":" Please use this Google form to register. Please submit one form per team, i.e., providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. Please register early to help us organise the challenge. "},{"title":"Google group​","type":1,"pageTitle":"Registration","url":"docs/cpc1/taking_part/cpc1_registration#google-group","content":" If you haven't done so already, please sign up to Clarity's Google group to keep up to date with the challenges. "},{"title":"Scene Generation","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_scene_generation","content":"","keywords":""},{"title":"The scenario​","type":1,"pageTitle":"Scene Generation","url":"docs/icassp2023/data/icassp2023_scene_generation#the-scenario","content":" The scenario is someone listening to a target speaker in a room with two or three interfering sound sources (Figure 1). The scenes are described by a large number of randomised parameters: The room size and materials (which create moderate reverberation typical of a living room).The identity of the target talker (one of 40 possible speakers).The 7-10 word sentence being uttered by the target talker.The listener, target talker and noise interferer locations.The head orientation of the listener. Initially, the listener is not facing the target talker, but around the time the target speech starts, the listener rotates their head to face the target approximately.The interferer sound samples, which can be a: stream of competing speech; continuous domestic noise source (e.g., a washing machine); or music source.The speech onset and offset times.While scene generating software is provided, we anticipate most entrants would use our database of pre-mixed signals. The website will provide a full description of the scene generation.The main audio signals provided are for 3 microphones on two Behind-The-Ear (BTE) hearing aids (left and right ear). While scene generating software is provided, we anticipate most entrants would use our database of pre-mixed signals. The website will provide a full description of the scene generation. The main audio signals provided are for 3 microphones on two Behind-The-Ear (BTE) hearing aids (left and right ear). Figure 1. An example scenario with two noise interferers. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cpc1/software/cpc1_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#a-scene-generator","content":" The scene generator is fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, BRIRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid processor is based on openMHA [1] but with a Python wrapper. The python code configures openMHA with a Camfit compressive fitting [2] for a specific listener’s audiogram. This configuration of openMHA includes multiband dynamic compression, non-adaptive differential processing and a softclip plugin. The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly. The main inputs and outputs for the processor are as follows: Inputs: Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in ‘scenes_listeners.json’ and an entry in the listener metadata json file ‘listeners.json’ for that IDOutputs: The stereo hearing aid output signal, <scene>_<listener>_HA-output.wav "},{"title":"C. Hearing Loss model​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#c-hearing-loss-model","content":" Open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge (e.g., [3]). Inputs: A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears).Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"D. Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#d-speech-intelligibility-model","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI; [4]). This is an experimental baseline tool that is level-independent. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#references","content":" Kayser, H., Herzke, T., Maanen, P., Pavlovic, C. and Hohmann, V., 2019. Open Master Hearing Aid (openMHA): An integrated platform for hearing aid research. Journal of the Acoustical Society of America, 146(4), pp. 2879-2879.Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"ICASSP 2023 Clarity Challenge Schedule","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_dates","content":"ICASSP 2023 Clarity Challenge Schedule Key dates are as follows 28th Nov 2022: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session","keywords":""},{"title":"Results","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_results","content":"Results The Clarity ICASSP-2023 Enhancement Challenge is now complete. Results are shown below along with links to the system description papers. The table below reports the HASPI, HASQI and average (over HASPI and HASQI) scores for all the submitted systems. Results are shown for both Eval 1 (the simulated evaluation set) and Eval 2 (using the real recordings). Where a system ID ends with '_data', additional training data has been used. Those that end with '_hr' has exploitied the head rotation information. Links to the system reports are also provided. The Eval 1 average has been used to rank the systems. Rank\tTeam\tID\tPaper\tEval 1 (HASPI)\tEval 1 (HASQI)\tEval 1 (Average)\tEval 2 (HASPI)\tEval 2 (HASQI)\tEval 2 (Average)8\tBaseline\tBaseline 0.266\t0.128\t0.197\t0.176\t0.121\t0.149 9\tT001\tE002\tLink\t0.179\t0.093\t0.136\t0.101\t0.078\t0.09 7\tT002\tE009\tLink\t0.286\t0.161\t0.224\t0.126\t0.108\t0.117 5\tT003\tE014\tLink\t0.797\t0.414\t0.606\t0.291\t0.11\t0.201 10\tT004\tE023\tLink\t0.117\t0.047\t0.082\t0.026\t0.019\t0.018 2\tT005\tE028\tLink\t0.78\t0.526\t0.653\t0.026\t0.019\t0.022 1\tT005\tE028_data\tLink\t0.816\t0.57\t0.693\t0.249\t0.154\t0.199 4\tT006\tE029\tLink\t0.835\t0.393\t0.613\t0.256\t0.104\t0.18 3\tT006\tE029_hr\tLink\t0.838\t0.393\t0.616\t0.256\t0.103\t0.18 6\tT007\tE030\tLink\t0.729\t0.316\t0.522\t0.284\t0.132\t0.208","keywords":""},{"title":"ICASSP 2023 Clarity Challenge Download","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_download","content":"","keywords":""},{"title":"Software​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge Download","url":"docs/icassp2023/icassp2023_download#software","content":" All the necessary software tools are available as a single GitHub repository. A new version of the repository code, v0.2.0, has been released for use with the challenge. It contains a recipe for running the baseline and standard evaluation (recipes/icassp2023). "},{"title":"Data​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge Download","url":"docs/icassp2023/icassp2023_download#data","content":" The data is available for download here. On the download site you will see four data packages are available, clarity_CEC2_core.v1_1.tgz [28 GB] - metadata and dev set clarity_CEC2_train.v1_1.tgz [69 GB] - scenes for training systems clarity_CEC2_hoairs.v1_0.tgz [144 GB] - impulse responses for generating extended training data clarity_CEC2_icassp2023_eval.v1_0.tgz [6.5 GB] - the eval1 and eval2 evaluation sets (added on 2nd Feb 2023). All participants will require the core data package. Participants using machine learning approaches will additionally require the train data package. Participants wishing to extend the training set by using our provided scene rendering tools will also require the high order ambisonic impulse responses (i.e., the hoairs package). To unpack the data we recommend you follow the instructions in the Clarity Challenge GitHub repository. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_core_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#a-scene-generator","content":" Fully open-source Python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, HOA-IRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Hearing aid enhancement stage​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#b-hearing-aid-enhancement-stage","content":" The hearing aid enhancement stage supplied simply reduces the six channel input to two channels by selection the 'front' microphone on each ear. This is the component that you are challenged to replace. Inputs: 6 channel hearing aid input (3 microphones per for each ear)Outputs: An enhanced stereo signal that is passed to the amplification stage. "},{"title":"C. The hearing aid amplification stage​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#c-the-hearing-aid-amplification-stage","content":" The hearing aid amplifier consists of a NAL-R fitting amplification stage [1] followed by a simple automatic gain compressor. It produces output signals in 16-bit wav format ready for HASPI and HASQI evaluation. Inputs: Stereo output of the enhancement stage and audiograms to characterise the listeners.Outputs: Stereo hearing aid (HA) outputs signals. "},{"title":"D. HASPI Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#d-haspi-speech-intelligibility-model","content":" Python implementation of the Hearing Aid Speech Perception Index (HASPI) [2] model which is used for objective intelligibility estimation. This will be one component of the evaluation metric. Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"E. HASQI Speech Quality model​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#e-hasqi-speech-quality-model","content":" Python implementation of the Hearing Aid Speech Quality Index (HASQI) [3] model which is used for objective quality estimation. This will be one component of the evaluation metric. Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#references","content":" Byrne, Denis, and Harvey Dillon. "The National Acoustic Laboratories'(NAL) new procedure for selecting the gain and frequency response of a hearing aid." Ear and hearing 7.4 (1986): 257-265.Kates, J.M. and Arehart, K.H., 2021. "The hearing-aid speech perception index (haspi) version 2". Speech Communication, 131, pp.35-46.Kates, J.M. and Arehart, K.H., 2014. "The hearing-aid speech quality index (HASQI) version 2". Journal of the Audio Engineering Society. 62 (3): 99–117. "},{"title":"CPC1 Data","type":0,"sectionRef":"#","url":"docs/cpc1/data/cpc1_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#a-training-development-evaluation-data","content":" The dataset is split into these two subsets: training/development (train) and evaluation (eval). You are responsible for splitting the training/development dataset into data for training and development, e.g., using k-fold cross validation.The final evaluation and ranking will be performed with the (held-out) evaluation set.For more information on supplementing the training data, please see the rules, and also the FAQ. The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b-the-scene-dataset","content":" The complete dataset is composed of a large number of scenes associated with 6 talkers, 10 hearing aid systems and around 25 listeners. Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training/development and evaluation sets are disjoint for system and listener. Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used. RAVEN is the geometric room acoustic model used to create the BRIR. "},{"title":"B.1 Training/development data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b1-trainingdevelopment-data","content":" This contains all the information about how the signals processed by the hearing aids were created. For the prediction challenge, some of the data can be ignored (but is included because some may find it useful). Data and metadata most useful for the prediction challenge: The output of the hearing aid processor.The target convolved with the anechoic Binaural Room Impulse Response (BRIR) (channel 1) for each ear (‘target_anechoic’).The mono target and interferer signals (pre-convolution).Prompts of the utterances (what the actors were told to say)Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files. For evaluation not all of the data is available, see below. Other information also provided, click me to expand Data used to create inputs to hearing aids, etc: The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).Head Related Impulse Responses (HRIRs) including those corresponding to the target azimuth.For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate BRIR;The interferer convolved with the appropriate BRIR;The sum of the target and interferer convolved with the appropriate BRIRs. The BRIRs are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone; the premixed target signal convolved with the BRIR with the reflections “turned off”). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. The RAVEN project files - termed "rpf" - are specification files for the geometric room acoustic model that include a complete description of the room. "},{"title":"B.2 Evaluation scene data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b2-evaluation-scene-data","content":" For each scene in the evaluation data only the following will be available: The output of the hearing aid processor.The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata.The prompt for the utterances (the text the actors were given to read) "},{"title":"C Listener data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of our listening panel. The listening panel data will be split, so that the listeners in the held back evaluation data are different from those provided in the training and development data. The listening panel are experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English. For every listener, you will be given the left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound. For some listeners you will be provided with additional characterisation of their hearing. Consequently, if you wish to exploit this additional data, you will need to deal with the missing data. See the FAQ for more on missing data. Below is a description of each measure. SSQ12 - Speech, Spatial, & Qualities of Hearing questionnaire, 12-question version​ This is a popular self-assessment questionnaire of hearing disability. Each item asks about listening situations typical of real life and asks how well a listener would do in it. The SSQ assesses ability to make successful use of one’s hearing (i.e. hearing disability, or activity limitation). This is an intermediate link between the audiological measurement of someone's hearing loss (i.e. their impairment) and a patient's assessment of how that hearing loss impacts their wider life (i.e. their handicap, or participation restriction). The 12 questions are given in table 1 of this paper and FYI a recent paper that used it is here. Responses to each question are on a scale from 0 to 10, with 0 representing "not at all" (or "jumbled"/"concentrate hard" for #11 & #12), and 10 representing "perfect" (or "not jumbled"/"no need to concentrate"). We programmed this as a visual-analog slider, which the participant could set to any position from 0 to 10. The SSQ12 data supplied are the responses to each question, from 0-10 at 1 decimal place resolution, along with the mean of all 12 questions. GHAPB - Glasgow hearing-aid benefit profile questionnaire​ This is designed to assess the efficacy and effectiveness of someone's hearing aid(s) in different scenarios. It asks respondents to consider four scenarios involving speech and to rate on a five-point scale their perceived initial (i.e. unaided) hearing disability, initial handicap, aided benefit, aided handicap, hearing aid use, and hearing aid satisfaction. The listening panel are experienced hearing-aid users, so some of the rating would be about their normal hearing aid. This paper describes the GHABP and provides some normative data. For each scenario, the participant is asked a primary question about if a situation happens to them (relatable). If they answer No, it moves onto to the next scenario.Yes, then a list of six secondary questions are asked (see figure below) If one of the secondary questions is not relatable to the participant, they're asked to respond "N/A" for not applicable. Figure 2. The GHAPB questionnaire. There are four scenarios: listening to the television when the volume is adjusted for others.Having a conversation with one person in quiet.Having a conversation on a busy street or in a shop.Having a conversation with several people in a group. In the datafile, the question numbers are coded as x.y where x is the scenario number and y the secondary question number. If the answer to primary questions is No, then all the secondary questions are coded as 0. If the answer to primary questions is Yes, then each subsequent question is scored as 0. = N/A = first option in the list (eg "no difficulty")= second= third= fourth= fifth (e.g. "cannot manage at all") There is no global score for the GHABP. The six secondary questions ask about different things and so should not be averaged across questions, though it is fairly common to average within-question across scenario. DTT (digit-triplet test, also known as a triple digit test)​ This is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al's high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations in Filenames​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d1-abbreviations-in-filenames","content":" R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d2-general","content":" Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate.Where stereo signals are provided, the two channels represent the left and right signals of the ear or hearing aid microphones.HRIRs have a sampling rate of 48 kHz.Metadata will be stored in JSON format wherever possible.Room descriptions are stored as RAVEN project ‘rpf’ configuration files.Signals are saved within the Python code as 32-bit floating point by default. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was supposed to be spoken as presented to the readers.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Timing in audio files​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d4-timing-in-audio-files","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"D.5 Source audio files​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d5-source-audio-files","content":" Wav files containing the original source materials.Could be used as the clean speech reference in an intrusive (double-ended) prediction modelOriginal target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.6 Preprocessed scene signals​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d6-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone ready for processing.Target_anechoic could be used as the clean speech reference in an intrusive (double-ended) prediction model.Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav <Scene ID>_interferer_<Channel ID>.wav <Scene ID>_mixed_<Channel ID>.wav <Scene ID>_target_anechoic.wav Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone "},{"title":"D.7 Enhanced signals​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d7-enhanced-signals","content":" These are the audio signals that the listeners heard during the speech intelligibility testing. The signals that are output by a given enhancement (hearing aid) model or system. <Entrant ID>_<Scene ID>_<Listener ID>_HA-output.wav # HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L200 to L244. "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d8-scene-metadata","content":" A JSON file called scenes.CPC1_train.json containing a description of each scene that is used in the listening experiments. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight. scenes.json [ { "scene": "S00001", "room": { "name": "R00001", "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres }, "SNR": 3.8356, "hrirfilename": "VP_N5-ED", // HRIR filename "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "Positions": [ -0.5, 3.4, 1.2 ], "ViewVectors": [ 0.291, -0.957, 0 ], "name": "T022_HCS_00002", // target speaker code and BNCid "nsamples": 153468, // length of target speech in samples }, "listener": { "Positions": [ 0.2, 1.1, 1.2 ], "ViewVectors": [ -0.414, 0.91, 0 ] }, "interferer": { "Positions": [ 0.4, 3.2, 1.2 ], "name": "CIN_dishwasher_012", // interferer name "nsamples": 1190700, // interferer length in samples "duration": 27, // interferer duration in seconds "type": "noise", // interferer type: noise or speech "offset": 182115, // interferer segment starts at n samples from beginning of recording }, "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver "dataset": "train", // dataset: train, dev or eval/test "pre_samples": 88200, // number of samples of interferer before target onset "post_samples": 44100 // number of samples of interferer after target offset }, { // ... etc. } ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.Note that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same.A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files.The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file.Non-speech interferers are labelled CIN_<noise type>_XXX, while speech interferers are labelled <three letter code including dialect and talker gender>_XXXXX . "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d9-listener-metadata","content":" Listener audiogram data stored in a single JSON file called listeners.CPC1_train.json with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [10, 15, 25, 40, 50, 65, 65, 70 ], }, "L0002": { // ... etc. }, // ... etc. } A spreadsheet named listener_data.CPC1_train.xlsx containing the SSQ12, GHAPB, DTT data for each listener where it is available. "},{"title":"D.10 Listener intelligibility data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d10-listener-intelligibility-data","content":" JSON files CPC1.train.json (for Track 1) and CPC1.train_indep.json (for Track 2) which provides the responses made by the listeners when presented with a particular scene processed by a particular system. The data is a simple list of dictionaries with one entry for each listener response CPC1.tran.json [ { "scene":"S08510", // The identity of the scene "listener":"L0239", // The identity of the listener "system":"E001", // The identify of the HA system "prompt":"i suppose you wouldn't be free for dinner this evening", // The target sentence (prompt) "response":"freeze evening", // The listeners response (transcript) "n_words":10, // Number of words in the target sentence "hits":1, // Number of words recognised correctly "correctness":10.0, // The percentage of words recognised correctly "signal":"S08510_L0239_E001" // The name of the file containing the signal listened to. }, { // ... etc. }, // ... etc. ] "},{"title":"E. Reproduction Levels​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#e-reproduction-levels","content":" The graph gives the SPL from one of our headsets based on the volume level of the tablet. The input signal was ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3. Figure 3. Headset SPL by tablet volume level. "},{"title":"References​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#references","content":" [1] ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"Additional Tools","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_additional_tools","content":"","keywords":""},{"title":"Hearing loss model​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#hearing-loss-model","content":" This is an open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge [1, 2]. Inputs: A stereo wav audio signal, e.g., the output of the hearing aid model and audiograms for left and right ear.Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"Differentiable source separation and hearing aid amplification modules​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#differentiable-source-separation-and-hearing-aid-amplification-modules","content":" The modules are from the Sheffield E009 system in CEC1. The source separation module is a multi-channel Conv-TasNet optimised with a SNR objective. The hearing aid amplification module is an FIR filter optimised with an objective, which is the combination of a differentiable approximation to the hearing loss model and a STOI loss. Inputs: six channels of mixed signals, i.e., mixed_CH1.wav, mixed_CH2.wav, and mixed_CH3.wavOutputs: a single channel enhanced signal, therefore two source separation and amplification modules for left and right ears need to be optimised for the enhanced binaural signal. "},{"title":"Speech intelligibility model (MBSTOI)​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#speech-intelligibility-model-mbstoi","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI) [3]. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections 'turned off', specified as 'target_anechoic'), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#references","content":" Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"The ICASSP 2023 Clarity Challenge","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_intro","content":"","keywords":""},{"title":"Organisers​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#organisers","content":" Michael Akeroyd, Graham Naylor, University of NottinghamJon Barker, Will Bailey, Zehai Tu, University of SheffieldTrevor Cox, Simone Graetzer, University of SalfordJohn Culling, Cardiff University "},{"title":"Overview of challenge​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#overview-of-challenge","content":" Speech enhancement is a major research area with thousands of papers each year, yet only a tiny percentage of these explicitly consider improvements for listeners who have a hearing loss. Consequently, this signal processing challenge is designed to get the latest advancements in speech enhancement applied to hearing aids. Entrants are tasked to enhance speech-in-noise for input into a hearing aid amplification stage. The hearing aid will be tuned to the hearing characteristics of particular people. Thus you can enter without in-depth knowledge of hearing aids, and just concentrate on the task of de-noising. The scenario is listening to speech in the presence of typical domestic noise. We provide the signals captured by the microphones on a pair of behind-the-ear hearing aids and those captured at the eardrum. The target speech will be a short sentence. The interfering noises will be a mix of speech, domestic appliance noise and music. The audio includes the simulation of the acoustic of typical small living rooms. The challenge is to improve the speech intelligibility without excessive loss of quality. To this end, entries will be evaluated using an objective metric that is an average of the Hearing Aid Speech Perception Index (HASPI) and Hearing Aid Speech Quality Index (HASQI). "},{"title":"What is be provided​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#what-is-be-provided","content":" Premixed speech + interferer scenes for training and evaluation.Databases of target sentences, along with speech, noise and music interferers.Listener characteristics, including audiograms and speech-in-noise testing.Software including tools for augmenting training data, a baseline enhancement system, a fixed hearing aid implementation and code for scoring signals using the HASPI and HASQI hearing aid metrics. The scenario is similar to the second Clarity Enhancement Challenge but with the following key differences: Participants are asked to focus on speech enhancement only. Hearing aid processing/simulation is not part of the challengeSpeech quality (HASQI) will be assessed in conjunction with speech intelligibility (HASPI) This site provides access to all the software, data and information that you need to get started. "},{"title":"Find collaborators","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_find_a_team","content":"Find collaborators If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators. We encourage everyone to join the Clarity Challenge’s Google group to stay updated with project news and announcements. We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group). You are welcome to contact us if you have any questions about forming a team or participating in the challenge: Email the Clarity Team","keywords":""},{"title":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"ICASSP 2023 Clarity Grand Challenge Registration","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_registration","content":"ICASSP 2023 Clarity Grand Challenge Registration Teams are required to register using the form below. Please register as soon as possible. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials. Loading…","keywords":""},{"title":"Data Specification","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_data","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#overview","content":" The training data essentially consists of signals and corresponding listener responses that you can use to train a prediction model. To maximise the value of the data we have imposed a cross-validation evaluation design: The training data has been split into three partitions, train.1, train.2 and train.3 which are paired with three disjoint evaluation partitions eval.1, eval.2 and eval.3 which will be released. You are asked to train three versions of your final system, i.e., one for each training data subset. This will ensure that we can evaluate your system on unseen listeners and hearing aid systems. Note, some signals and responses come from CEC1 and some from CEC2. CEC1 used simple scenes with a single interferer; CEC2 had multiple interferers. The evaluation data will only use CEC2 scenes. "},{"title":"The hearing aid output signals​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-hearing-aid-output-signals","content":" The hearing aid output signals are stored under clarity_data/HA_output and separated into three separate directories, train.1, train.2 and train.3. Each of these directories contains two subdirectories, CEC1 and CEC2, which contain the hearing aid output signals from the CEC1 and CEC2 datasets respectively. The signals are stored in 16-bit stereo WAV format, with a sampling rate of 32 kHz. The signals are named according to the following convention: <SCENE_ID>_<LISTENER_ID>_<SYSTEM_ID>.wav # e.g., S09463_L0242_E009.wav Where <SCENE_ID> is the scene identifier, <LISTENER_ID> is the listener identifier and <SYSTEM_ID> is the hearing aid system identifier. "},{"title":"The scene reference signals​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-scene-reference-signals","content":" The target reference signals and hearing aid input signals are stored under clarity_data/scenes and separated into two separate directories, CEC1 and CEC2, which contain the target reference signals from the CEC1 and CEC2 datasets respectively. (Note, data for the three training set partitions is stored in the same directory.) There are a set of stereo audio files for each scene, as follows: <SCENE_ID>_target_ref.wav # The target reference signal for the intrusiveness intelligibility prediction task <SCENE_ID>_target_anechoic.wav # The anechoic speech target signal <SCENE_ID>_target_<CHANNEL>.wav # The target speech signal for the scene <SCENE_ID>_interferer_<CHANNEL>.wav # The interfering noise for the scene <SCENE_ID>_mixed_<CHANNEL>.wav # The mixed target and interfering noise. where <SCENE_ID> is the scene identifier and <CHANNEL> can be either CH0, CH1, CH2 or CH3. The channels CH1, CH2 and CH3 are the front, middle and rear hearing aid microphones respectively (each is stereo pair). CH0 is the eardrum signal, i.e., as would be received by the listener's ear canal. Of these signals, the following is the most important: <SCENE_ID>_target_ref.wavThis is the signal that should be used as the reference for your intrusive intelligibility prediction model. Note, this is the only signal that will be available in the evaluation data. It is a non-reverberant version of the target signal aligned with the target component of the mixed signal received by the hearing aid. It has been scaled to have the same energy as the target component of the mixed signal received by the hearing aid. The remaining hearing aid input signals are provided for completeness <SCENE_ID>_mixed_<CHANNEL>.wav The noisy speech signals that were received by the hearing aid, i.e. the signals that were processed to produce the HA output signals.<SCENE_ID>_target_<CHANNEL>.wav The target speech component of the mixed signals that were received by the hearing aid.<SCENE_ID>_interferer_<CHANNEL>.wav The interfering noise component of the mixed signals that were received by the hearing aid.<SCENE_ID>_target_anechoic.wav The anechoic target speech signal (i.e., same as the target reference signal but without the correct scaling). It is not anticipated that you will necessarily need these signals for training prediction models but they have been included to help participants gain a better understanding of the data. "},{"title":"The metadata​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-metadata","content":" The metadata directory (clarity_data/metadata) stores the listener responses to the signals, the listener characteristics and metadata related to each of the scenes (e.g., interferer types, input SNR, etc.). You will find the following JSON format files, CEC1.train.1.json, CEC2.train.1.json CEC1.train.2.json, CEC2.train.2.json CEC1.train.3.json, CEC2.train.3.json listeners.json scenes.CEC1.json, scenes.CEC2.json The contents of these files are as follows. "},{"title":"The listener responses (CECx.train.x.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-listener-responses-cecxtrainxjson","content":" The CEC1.train.x.json and CEC2.train.x.json files contains a list of dictionaries, each describing a listener response to a signal. The fields are as follows: CEC<x>.train.<y>.json [ { "prompt": "i don't want us to apportion blame she said", "scene": "S08547", "n_words": 9, "hits": 4, "listener": "L0239", "system": "E001", "correctness": 44.4444444444, "response": "i don't want to have to report he said", "volume": 56, "signal": "S08547_L0239_E001" }, // ... etc ] In the above, signal identifies the hearing aid output signal that you will find in the the HA_outputs\\train.1\\CEC1 or HA_outputs\\train.1\\CEC2 directorieslistener is the ID of the listener who provided the response. Using this you can look up the listener's audiogram in the listeners.json file.correctness is the percentage of words that the listener correctly identified. This is the number that you are being asked to predict.volume is the value of the volume control on the hearing aid that the listener used to listen to the signal. This is on a scale of 0 to 100 and was set by default to 50 but listeners were free to adjust it at the start of each session to achieve a comfortable listening level. "},{"title":"The listener characteristics (listeners.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-listener-characteristics-listenersjson","content":" The listeners.json provides the pure tone audiogram of the left and right ear of each listener. This is stored as a dictionary with the listener ID as the key to facilitate easy look-up. For each listener the audiogram is stored as a list of frequencies and the corresponding list of levels for the left and right ear. The frequencies are in Hz and the levels are in dB HL. listeners.json { "L0200": { "name": "L0200", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [35, 30, 25, 50, 55, 65, 70, 65], "audiogram_levels_r": [45, 40, 35, 60, 65, 75, 80, 75], }, // ... etc } Note, listener audiograms will also be provided in the evaluation data, however, the listeners in the evaluation sets will not overlap with listeners in the corresponding training sets, i.e., your predictions systems are expected to be able generalise to new listeners. "},{"title":"The scene metadata (scenes.CECx.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-scene-metadata-scenescecxjson","content":" The scene metadata contains information about the scene, the target and interfering noise signals, and the SNR of the mixed signal, etc. The data will not be available for the evaluation signals and is being provided here for context and to help participants gain an understanding of the signals. For a complete description of the scene metadata please see the documentation for the CEC1 and CEC2 challenges. The scenes.CEC1.json has the format described here, and the scenes.CEC2.json has the format described here. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cpc1/data/cpc1_scenario","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#overview","content":" This page details the scenario that we have simulated to create the speech-in-noise samples, which were processed by the (simulated) hearing aids. The processed signals were played to listeners in listening tests to obtain the measured speech intelligibility scores. It is perfectly possible to compete in the prediction challenge without knowing the information provided on this page, it provides context. You could just work with the processed signals from the hearing aids and the listening test scores. However, some will find this information useful, for example, because it might inform the sourcing or creation of additional data, for example to be used for unsupervised pre-training. "},{"title":"Simulating the audio signals that were processed by the hearing aids​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#simulating-the-audio-signals-that-were-processed-by-the-hearing-aids","content":" A listener (or receiver) is in a small room that has low to moderate reverberation. They are listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity sentences. Simultaneously, an interferer sound is playing. This is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). An example of the scenario is shown in Figure 1. The room geometry showing origin location is defined in Figure 2. Example SceneRoom Geometry Figure 1. Example scene. Figure 3, below, shows the basic scene generator. The sound at the receiver is generated first by convolving the source signals with Binaural Room Impulse Responses (BRIRs). This generates reverberated speech and noise that includes the effects of the room and reflections from the listener's head. The reverberated speech and noise signals are then summed after appropriate gains are applied. The gains are set to achieve a Signal-to-Noise Ratio (SNR), which is chosen randomly between limits. The BRIRs are generated using the RAVEN Geometric Room Acoustic Model [1]. There are additional signal paths and outputs generated that have been omitted from Figure 3 for clarity. In addition to the reverberated signals associated with the hearing aid microphones, the signal close to the eardrum is also generated. You can also access the reverberated speech and noise signals before they are mixed. Figure 3. Simplified diagram of the scene generator. RIR refers to Room Impulse Response, HRTFs refers to Head Related Transfer Functions, SNRs are signal-to-noise ratios, and gain calc. indicates gain calculation. Dry here means anechoic. The outputs are noisy speech signals. "},{"title":"Room Geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#room-geometry","content":" Cuboid rooms with dimensions length, LLL, by width, WWW, by height, HHH.Length LLL set using a uniform probability distribution random number generator with 3≤L(m)≤83 \\le L (m) \\le 83≤L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7m2.7 m2.7m and standard deviation of 0.8m0.8 m0.8m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7m217.7 m^217.7m2 and standard deviation of 5.5m25.5 m^25.5m2. "},{"title":"Room Materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least at 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The receiver​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-receiver","content":" The receiver has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). The reciver can have one of two heights (seated or standing height). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2m1.2 m1.2m (sitting) or 1.6m1.6 m1.6m (standing). The receiver is positioned so as to be roughly facing the target talker. That is to say, within ±30\\pm 30±30 degrees of target. The angle = 7.5n7.5n7.5n where nnn is an integer and ∣n∣≤4|n| \\le 4∣n∣≤4. "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. "},{"title":"The interferer​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-interferer","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) The interferer is a single point source radiating speech or non-speech noise omnidirectionally. It is placed within the room using uniform probability distribution random number generators for the coordinates. These constraints ensure the interferer is not too close to the wall or receiver. It is set to be at the same height as the receiver. Note, this means that the interferer can be at any angle relative to the receiver. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ "},{"title":"Timing​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#timing","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"Signal-to-Noise Ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#signal-to-noise-ratio-snr","content":" The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. Note that the interferer can be at any azimuth from the point of view of the listener/receiver. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen using a uniform probability distribution random number generator between the limits of ranges specified for the speech and non-speech interferers. The calculation is based on the ear that has the better signal to noise ratio, as this mimics the better ear effect in binaural listening, where listeners focus on the ear that has the best SNR. The better ear SNR (BE_SNR) is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the interferer that overlaps with the target (without padding) , i‘, and the target (without padding), t‘, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i‘ and t’ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The whole interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050];Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001]; Figure 4, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"ICASSP 2023 Grand Challenge Rules","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions. "},{"title":"Transparency​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Teams may reserve the right to be referred to using anonymous code names in the published rank ordering. "},{"title":"What information can I use?​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#training-and-development","content":" For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files. Any audio or metadata can be used during training and development, but during evaluation, the enhancement algorithm will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferers for each hearing aid microphone).The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results).The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.) "},{"title":"Computational restrictions​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#computational-restrictions","content":" Teams may choose to use all, some or none of the parts of the baseline model.Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#submitting-multiple-entries","content":" It is intended that there should be one submission per registered team. Submitting multiple entries is discouraged. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#evaluation-of-systems","content":" Each signal will be scored using the average of its HASPI and HASQI scores. A system score will then be computed by averaging over the evaluation set. Separate scores will be computed for the real and simulated evaluation sets, along with a summary score formed by their average. Systems will be ranked according to their summary scores with all three (real, simulated and summary) scores being reported. "},{"title":"Intellectual property​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive licence to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"ICASSP 2023 Data","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_data","content":"","keywords":""},{"title":"A. Training, development and evaluation data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#a-training-development-and-evaluation-data","content":" The dataset of 10,000 simulated scenes is split into three sets: 6000 training scenes (available now)2500 development scenes (available now)1500 evaluation scenes (released 1st Feb. 2023) In addition there will be: A secondary 'real data' evaluation set that will be based on real ecologically-valid recordings and so can highlight the generalizability of the entrants’ approaches beyond the simulations (released 1st February 2023). More information. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b-the-scene-dataset","content":" For the dataset of 10,000 simulated scenes Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers.The training, development and evaluation sets are disjoint with respect to the target speakers.Sets are balanced for the gender of the target talker.Entrants must not use the development or evaluation data sets for training.The system submitted should be chosen on the evidence provided by the development set. For evaluation The final ranking will be performed with the (held-out) evaluation sets.Neither evaluation datasets (simulation nor real) have been used in previous Clarity challenges. The secondary 'real data' evaluation set will be made using real acoustic mixtures but using loudspeaker playback of target talkers so that the reference speech can be extracted as needed by the objective metrics. For the training and development set, entrants have access to a diverse range of signals and metadata, with the most important being: The hearing aid microphone signalsThe hearing characteristics of the listener (e.g. audiogram)The anechoic target reference and interferer signals. For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files. For evaluation, the data available is more limited, i.e., The hearing aid microphone signalsThe hearing characteristics of the listener (e.g. audiogram)The anechoic target reference signal which will be used by the organisers but not released to entrants. High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on scene generation for more details. Time-domain acoustic signals are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files and ac files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials. "},{"title":"B.1 Training data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears).The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate HOA-IRs and downmixed;The interferers convolved with the appropriate HOA-IRs and downmixed;The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid) The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (‘target_anechoic’). For use as a reference when computing HASPI scores.Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.A signal describing the head rotation (i.e. azimuthal angle at each sample) "},{"title":"B.2 Development data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b2-development-data","content":" This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set) Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended. Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section B.3). When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below). "},{"title":"B.3 Simulated Evaluation data (eval1)​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b3-simulated-evaluation-data--eval1","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)Speaker adaptation sentence - 4 clean utterances for each target speaker. One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities: The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture.The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics. These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking. "},{"title":"B.4 Real Evaluation data (eval2)​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b4-real-evaluation-data-eval2","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.Speaker adaptation sentence - 4 clean utterances for each target speaker.Further details to be confirmed. "},{"title":"C Listener data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them. The same types of data are available for training, development and evaluation. A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English. The quantification of the listeners’ hearing is done with: Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound.Results from the DTT (digit-triplet test, also known as a triple digit test)​ The audiogram is the standard clinical measurement of hearing ability. It’s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., British Society of Audiology Recommended Procedure. Typically it’s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. CAMFIT, NAL-NL2 or DSL . Note that the scale of an audiogram is in “dB HL” = “dB Hearing Level”. This is not dB SPL; instead, it’s relative to an international standard such that 0-dB is “normal hearing” at every frequency. For background see Why the Audiogram Is Upside-down | The Hearing Review and The Quest for Audiometric Zero | The Hearing Review The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al.'s high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations used in filenames​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d1-abbreviations-used-in-filenames","content":" The following abbreviations are used consistently throughout the filenames and references in the metadata. R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d2-general","content":" Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones.0 dB FS in the audio signals corresponds to 100 dB SPL.Metadata will be stored in JSON or csv format as appropriate with the exception of Room descriptions are stored as RAVEN project ‘rpf’ configuration files and ‘ac’ files. (However, key details are reflected in the scene.json files) Signals are saved within the Python code as 32-bit floating point by default.Output signals for the listening tests will be required to be in 16-bit format. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was given to the talkers to say.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d4-source-audio-files","content":" Wav files containing the original source materials. Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav<Scene ID>_interferer_<Channel ID>.wav<Scene ID>_mixed_<Channel ID>.wav<Scene ID>_target_anechoic.wav - at hearing device front microphone<Scene ID>_hr.wav - head rotation signal Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone The anechoic signal is the signal that will be used as the referernce in the HASPI evaluation. The head rotation signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured. "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d6-enhanced-signals","content":" The signals that are output by the baseline enhancement algorithm. <Scene ID>_<Listener ID>_enhanced.wav # Enhancement output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. "},{"title":"D.7 Hearing-aid output signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d7-hearing-aid-output-signals","content":" <Scene ID>_<Listener ID>_HA-output.wav # i.e., the enhanced signals after processing with the supplied hearing aid amplification. Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. "},{"title":"D.8 Room metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d8-room-metadata","content":" JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene. rooms.json [ { "name": "R00001", // ID of room linking to RAVEN rpf and ac files "dimensions": "6.9933x3x3", // Room dimensions in metres "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "position": [-0.3, 2.4, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "listener": { "position": [-0.1, 5.2, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "interferers": [ { "position": [0.4, 4.0, 1.2], }, { // etc, up to three interferers } ], }, ... ] "},{"title":"D.9 Scene metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d9-scene-metadata","content":" JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section D.7) plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings. scenes.json [ { "scene": "S00001", // the unique scene ID "room":: "R00001", // ID of room linking to rooms.json "target": { "name": "T005_JYD_04274", // target speaker code and BNCid "time_start": 107210, // start time of target in samples "time_end": 217019 // end time of target in samples }, "listener": { "rotation": [ // Defines the head motion - list of time, direction pairs { "sample": 88200, "angle": 30 // Azimuth angle in degrees }, { "sample": 176400, "angle”: 50 } ], "hrir_filename": ["VP_N4-ED", "VP_N4-BTE_fr", "VP_N4-BTE_mid", "VP_N4-BTE_rear"] // HRIR filename for each channel to generate }, "interferers": [ { "position": 1, // Index of interferer position (See rooms.json) "time_start": 0, // time of interferer onset in samples "time_end": 261119, // time of interferer offset in samples "name": "track_1353255", // interferer name "type": "music", // interferer type: speech, noise or music "offset": 4076256 // index into interferer file at which to extract sample }, { // etc, up to three interferers } ], "dataset": "train", // the dataset to which the scene belongs: train, dev or eval "duration": 261119, // total duration of scene in samples "SNR": 6.89 // targe SNR for the scene }, ... ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room. The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section D.9). Noise interferers are labelled with a type “music”, “noise” or “speech” and then have a unique name identifying the file. For speech: <ACCENT_CODE>_<SPEAKER_ID> where ACCENT_CODE is a three letter code identify the accent region and gender of the speaker and SPEAKER_ID is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK midlands accented female, speaker 02484. The speech comes from Demirshan et al. [1] which provides more details.For noise: CIN_<NOISE_TYPE>_<NOISE_ID> where NOISE_TYPE is one of dishwasher, fan, hairdryer, kettle, microwave, vacuum (vacuum cleaner) or washing (washing machine) and NOISE_ID is a unique 3-digit code for the sample.For music: track_<TRACK_ID> where TRACK_ID is unique 7-digit track identifier taken from the MTG Jamendo database. [2] Given the type and name, further interferer metadata can be found in the files masker_speech_list.json, masker_noise_list.json and masker_music_list.json which are distributed with the challenge. "},{"title":"D.10 Listener metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d10-listener-metadata","content":" Audiogram data is stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ … ], }, "L0002": { // ... etc }, // ... etc } Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS "},{"title":"D.11 Scene-Listener map​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d11-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003", "L0005", "L0007"], // ... etc } "},{"title":"References​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#references","content":" Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, Avialable OnlineBogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", Available Online "},{"title":"Learning","type":0,"sectionRef":"#","url":"docs/learning/learning_intro","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Details Click arrow to see synposis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_baseline","content":"","keywords":""},{"title":"Baseline performance​","type":1,"pageTitle":"Baseline System","url":"docs/icassp2023/software/icassp2023_baseline#baseline-performance","content":" Baseline performance using amplification with no enhancement will appear shortly. "},{"title":"References​","type":1,"pageTitle":"Baseline System","url":"docs/icassp2023/software/icassp2023_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (HASPI) version 2. Speech Communication, 131, pp.35-46.Kates, J.M. and Arehart, K.H., 2014. "The hearing-aid speech quality index (HASQI) version 2". Journal of the Audio Engineering Society. 62 (3): 99–117. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/icassp2023/data/cec2_scenario","content":"","keywords":""},{"title":"The scenario​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-scenario","content":" We want entrants to improve speech in the presence of background noise; see Figure 1. On the left there is a person with a quantified hearing loss who is listening to speech from the target talker on the right. Both people are in a living room. There is interfering noise from a number of sources (a TV and washing machine in this case). The speech and noise are sensed by microphones on the hearing aids of the listener. The task is to take these microphone feeds and the listener’s hearing characteristics, and produce signals for the hearing aid processor that will make the speech more intelligible. We will evaluate the success of the processing using a combination of objective metrics for speech intelligibility and quality. Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound. "},{"title":"Baseline system and software tools​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#baseline-system-and-software-tools","content":" Challenge entrants are supplied with an end-to-end baseline system. Figure 2 shows a simplified schematic, which comprises: Figure 2. Baseline schematic. A scene generator (blue box) creates speech in noise (SPIN).A listener is chosen (green ellipse), so the processing can be individualised for each listener with quantified hearing characteristics.The speech is enhanced (pink box). The entrants are tasked to improve this.The hearing aid we provide then amplifies the improved speech (yellow box)The amplified and improved speech that is emitted by your hearing aid is then passed to the prediction stage (red boxes). A combination of HASPI and HASQI is the output of the objective metrics for intelligibility and quality respectively (Kates and Arehart, 2021, Kates and Arehart 2014).All software tools will be available as a single GitHub repository. The software is split into core components e.g. HASPI, HASQI, and additional tools e.g. a hearing loss model. All software is open-source and in Python. "},{"title":"Room geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#room-geometry","content":" Cuboid rooms with dimensions length LLL by width WWW by height HHH.Length LLL set using a uniform probability distribution random number generator with 3<L(m)≤83 < L(m) \\le 83<L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7 m and standard deviation of 0.8 m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7 m2^22 and standard deviation of 5.5 m2^22 "},{"title":"Room materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The listener (receiver)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-listener-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2 m (sitting) or 1.6 m (standing). "},{"title":"Head rotation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#head-rotation","content":" The listener is initially oriented away from the target and will turn to be roughly facing the target talker around the time when the target speech starts Orientation of listener at start of the sample ~25° from facing the target (standard deviation = 5°), limited to +-2 standard deviations.Start of rotation is between -0.635 s to 0.865s (rectangular probability)The rotation lasts for 200 ms (standard deviation =10 ms)Orientation after rotation is 0-10° (random with rectangular probability distribution). "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. The target speech starts between 1.0 and 1.5 seconds into the mixed sound files (rectangular probability distribution). "},{"title":"The interferers​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-interferers","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) Each interferer is modelled as an omnidirectional point source. They will be radiating: speech, noise or music. They are placed within the room using uniform probability distribution random number generators for the coordinates. The following constraints ensure the interferer is not too close to the wall or listener. However, interferers are independently positioned with no constraint on their position relative to each other. They are set to be at the same height as the listener. Note, this means that the interferers can be at any angle relative to the listener. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ The interferers are present over the whole mixed sound file. "},{"title":"Signal-to-noise ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#signal-to-noise-ratio-snr","content":" The SNR of the mixtures are engineered to achieve a suitable range of speech intelligibility values. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the summed interferers that overlaps with the target (without padding), i′i'i′, and the target (without padding), t′t't′, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i′i'i′ and t′t't′ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The summed interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The frequency response is shown in Figure 2. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050]Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001] Figure 2, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"ICASSP 2023 Submission","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_submission","content":"","keywords":""},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#what-evaluation-data-is-provided","content":" There will be two sets of evaluation data: i) the simulate set consisting of 1500 scenes generated in the same way as the training and development data (eval1), ii) the real data consisting of real acoustic mixtures (eval2). For details see the data description page. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of the audiograms for a set of listeners anda mapping of which listeners will listen to which scenes. There will also be some clean example utterances from the target talker, that are not the same as the target utterance, but which can be used to identify the target talker, i.e., to disambiguate scenes in which other speakers are present. For HASPI/HASQI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#what-audio-do-i-need-to-submit","content":" You must submit the stereo audio signals produced at the output of your enhancement stage, which the organisers will process by the hearing aid amplification stage and the HASPI/HASQI evaluation metric. Signals should be submitted as stereo, floating point wav format signals, at the same sampling rate as the signals provided "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_enhanced.wav and explained on the data page. Place the processed signals for the two sets into separate directories named eval1 and eval2. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., ICASSP2023_E001 and then packaged using zip or tar or any standard packaging tool, e.g., to make a packaged file called <TEAM_ID>.zip The packaged file will have the following structure, ICASSP2023_E001 ├── eval1 (1500 processed signals) └── eval2 (1500 processed signals) The resulting file should be about 4 GB. Upload the packaged data to the Google Drive link that you will have been sent. "},{"title":"Using head rotation data and/or extended training data​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#using-head-rotation-data-andor-extended-training-data","content":" We would like to be able to separately evaluate the benefit of using the head rotation and extra training data, so in accordance with the challenge rules, If you have trained on data which was not included in the core database, then please also provide outputs of a system trained only with the standard data. If you have made use of the head rotation data you should also provide outputs of an equivalent system that does not use the head rotation data. If you have used extra training data and/or the head rotation data, then please package the outputs separately using the following naming convention, ‹TEAM_ID›.zip - standard training data and no head rotation (all teams) ‹TEAM_ID›_hr.zip - standard data and using head rotation ‹TEAM_ID›_data.zip - extended training data without using head rotation ‹TEAM_ID›_hr_data.zip - extended training data and using head rotation "},{"title":"Technical report​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#technical-report","content":" For every entry, a technical report needs to be uploaded to the Google Drive along with your evaluation signals - see here for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules.Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used.The report can be placed in the Google Drive alongside your data.The top five systems will be invited to submit a paper to the ICASSP 2023 special session. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. We also encourage you to submit your enhancement code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "}] \ No newline at end of file +[{"title":"CEC1 eval data released","type":0,"sectionRef":"#","url":"blog/CEC1 eval data released","content":"The evaluation dataset is now available to download from the myairbridge download site. The evaluation data filename is clarity_CEC1_data.scenes_eval.v1_1.tgz. Full details of how to prepare your submission are now available on this site. Please read them carefully. Registration: Teams must register via the Google form on the How To Submit page of this site. (Please complete this even if you have already completed a pre-registration form). Only one person from each team should register. Only those who have registered will be eligible to proceed to the evaluation. Once you have registered you will receive a confirmation email, a team ID and a link to a Google Drive to which you can upload your signals. Submission deadline: The deadline for submission is the 15th June. The submission consists of two components: i) a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used. This should be prepared as a Clarity-2021 workshop abstract and submitted to the workshop. ii) the set of processed signals that we will evaluate using the MBSTOI metric. Details of how to name and package your signals for upload can be found on the How To Submit page. Listening Tests: Teams that do well in the MBSTOI evaluation will be notified on 22nd June and invited to submit further signals for the second stage Listening Test evaluation. For any questions please contact us at claritychallengecontact@gmail.com or by posting to the Clarity challenge google group.","keywords":""},{"title":"CEC1 submissions received","type":0,"sectionRef":"#","url":"blog/CEC1 submissions received","content":"The CEC1 submission deadline has now passed. Thank you to all the teams who sent us signals. Please remember to submit your finalised system descriptions by June 22nd to the Clarity workshop following the instructions provided on the workshop website. We are currently busy evaluating the submissions using the MBSTOI metric. We will be contacting teams on the 22nd with details of how to prepare signals for the listening panel evaluation. If you have been working on the challenge but missed the submission deadline then please do get in contact. We will still be happy to receive your signals and system descriptions. Although late entries will not be eligible for the official challenge ranking, we will be happy to compute the eval set MBSTOI score for you and may even be able to arrange listening test evaluation through our panel. For any questions please contact us at claritychallengecontact@gmail.com or by posting to the Clarity challenge google group.","keywords":""},{"title":"Announcement of ICASSP 2023 Grand Challenge","type":0,"sectionRef":"#","url":"blog/Announcement of ICASSP 2023 Grand Challenge","content":"We are pleased to announce that registration for the ICASSP 2023 Clarity Grand Challenge is now open. To register please complete the simple Google form found on the registration page. The remaining important dates for the challenge are as follows: 28th Nov 2022: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session The challenge training, dev data and initial tools are now fully from the Github repository. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"Baseline speech intelligibility model in round one","type":0,"sectionRef":"#","url":"blog/baseline","content":"","keywords":""},{"title":"Some comments on signal alignment and level-insensitivity​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#some-comments-on-signal-alignment-and-level-insensitivity","content":" Our baseline binaural speech intelligibility measure in round one is the Modified Binaural Short-Time Objective Intelligibility measure, or MBSTOI. This short post outlines the importance of correcting for delays that your hearing aid processing algorithm introduces into the audio signals to allow MBSTOI to estimate the speech intelligibility accurately. It also discusses the importance of considering the audibility of signals before evaluation with MBSTOI. "},{"title":"Evaluation​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#evaluation","content":" In stage one, entries will be ranked according to the average MBSTOI score across all samples in the evaluation test set. In the second stage, entries will be evaluated by the listening panel. There will be prizes for both stages. See this page for more information. "},{"title":"Signal alignment in time and frequency​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#signal-alignment-in-time-and-frequency","content":" If the signal processed by the hearing aid introduces a significant delay, you should correct for this delay before submitting your entry. This is necessary because MBSTOI requires alignment of the clean speech “reference” with the processed signal in time and frequency. This needs to be done for both ear signals. MBSTOI downsamples signals to 10 kHz, uses a Discrete Fourier Transform to decompose the signal into one-third octave bands, and performs envelope extraction and short-time segmentation into 386 ms regions. Each region consists of 30 frames. These approaches are motivated by what is know about which frequencies and modulation frequencies are most important for intelligibility. For each frequency band and frame (over the region of which it is the last frame), an intermediate correlation coefficient is calculated between the clean reference and processed power envelopes for each ear. These are averaged to obtain the MBSTOI index. Thus is usually between 0 and 1, and rises monotonically with measured intelligibility scores, such that higher values indicate greater speech intelligibility. Alignment is therefore required at the level of the one-third octave bands and short-time regions. Our baseline corrects for broadband delay per ear due to the hearing loss model. (The delay is measured by running a kronnecker delta function through the model for each ear.) However, the baseline software will not correct for delays created by your hearing aid processing. Consequently, when submitting your hearing aid output signals, you are responsible for correcting for any delays introduced by your hearing aid. Note that this must be done blindly; the clean reference signals will not be supplied for the test/evaluation set. "},{"title":"Level insensitivity​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#level-insensitivity","content":" MBSTOI is level-independent, i.e., MBSTOI is broadly insensitive to the level of the processed signal because it is calculated using a cross-correlation method. This could be a problem because sounds that are below the auditory thresholds of the hearing impaired listener may appear to MBSTOI to be highly intelligible. To overcome this, the baseline experimental code mbstoi_beta, in conjunction with the baseline hearing loss model, can be used to approximate hearing-impaired auditory thresholds. Specifically, mbstoi_beta adds internal noise that can be used to approximate normal hearing auditory thresholds. This noise, in combination with the attenuation of signals by the hearing loss model to simulate raised auditory thresholds, makes MBSTOI level-sensitive. The noise is created by filtering white noise using pure tone threshold filter coefficients with one-third octave weighting, approximating the shape of a typical auditory filter (from Moore 2012, based on Patterson’s method, 1976). This noise is added to the processed signal. Note, the standard MBSTOI in the equalisation-cancellation stage adds internal noise to parameters, but this is an independent process. "},{"title":"MBSTOI​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#mbstoi","content":" The method was developed by Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen (Andersen et al., 2018). It builds on the Short-Time Objective Intelligibility (STOI) metric created by Cees H. Taal, Richard C. Hendriks, Richard Heusdens, and Jesper Jensen (Taal et al., 2011). MBSTOI includes a better ear stage and an equalisation-cancellation stage. For simplicity, the latter stage is not discussed here; see Andersen et al. (2018) for details. "},{"title":"References​","type":1,"pageTitle":"Baseline speech intelligibility model in round one","url":"blog/baseline#references","content":" Andersen, A. H., de Haan, J. M., Tan, Z. H., & Jensen, J. (2018). Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, 1-13.Moore, B. C. (2012). An introduction to the psychology of hearing. Brill.Patterson, R. D. (1976). Auditory filter shapes derived with noise stimuli. The Journal of the Acoustical Society of America, 59(3), 640-654.Taal, C. H., Hendriks, R. C., Heusdens, R., & Jensen, J. (2011). An algorithm for intelligibility prediction of time–frequency weighted noisy speech. IEEE Transactions on Audio, Speech, and Language Processing, 19(7), 2125-2136. "},{"title":"CEC2 registration open","type":0,"sectionRef":"#","url":"blog/CEC2 registration open","content":"We are pleased to announce that registration for the 2nd Clarity Enhancement Challenge (CEC2) is now open. To register please complete the simple Google form found on the registration page. The remaining important dates for the challenge are as follows: 25th July 2022: Evaluation data released1st Sept 2022: 1st round submission deadline for evaluation by objective measure15th Sept 2022: 2nd round submission deadline for listening testsSept-Nov 2022: Listening test evaluation period.2nd Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. The challenge training, dev data and initial tools are now fully from the Github repository. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"Clarity Challenge pre-announcement","type":0,"sectionRef":"#","url":"blog/Clarity Challenge pre-announcement","content":"","keywords":""},{"title":"The Task​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#the-task","content":" You will be provided with simulated scenes, each including a target speaker and interfering noise. For each scene, there will be signals that simulate those captured by a behind-the-ear hearing aid with three channels at each ear and those captured at the eardrum without a hearing aid present. The target speech will be a short sentence and the interfering noise will be either speech or domestic appliance noise. The task will be to deliver a hearing aid signal processing algorithm that can improve the intelligibility of the target speaker for a specified hearing-impaired listener. Initially, entries will be evaluated using an objective speech intelligibility measure we will provide. Subsequently, up to twenty of the most promising systems will be evaluated by a panel of listeners. We will provide a baseline system so that teams can choose to focus on individual components or to develop their own complete pipelines. "},{"title":"What will be provided​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#what-will-be-provided","content":" Evaluation of the best entries by a panel of hearing-impaired listeners.Speech + interferer scenes for training and evaluation.An entirely new database of 10,000 spoken sentencesListener characterisations including audiograms and speech-in-noise testing.Software including tools for generating training data, a baseline hearing aid algorithm, a baseline model of hearing impairment, and a binaural objective intelligibility measure. "},{"title":"Important Dates​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#important-dates","content":" January 2021 – Challenge launch and release of software and dataApril 2021 – Evaluation data releasedMay 2021 – Submission deadlineJune-August 2021 – Listening test evaluation periodSeptember 2021 – Results announced at a Clarity Challenge Workshop in conjunction with Interspeech 2021 Challenge and workshop participants will be invited to contribute to a journal Special Issue on the topic of Machine Learning for Hearing Aid Processing that will be announced next year. "},{"title":"Further information​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#further-information","content":" If you are interested in participating and wish to receive further information, please sign up. If you have questions, contact us directly at contact@claritychallenge.org "},{"title":"Organisers​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#organisers","content":" Prof. Jon P. Barker, Department of Computer Science, University of SheffieldProf. Michael A. Akeroyd, Hearing Sciences, School of Medicine, University of NottinghamProf. Trevor J. Cox, Acoustics Research Centre, University of SalfordProf. John F. Culling, School of Psychology, Cardiff UniversityProf. Graham Naylor, Hearing Sciences, School of Medicine, University of NottinghamDr Simone Graetzer, Acoustics Research Centre, University of SalfordDr Rhoddy Viveros Muñoz, School of Psychology, Cardiff UniversityEszter Porter, Hearing Sciences, School of Medicine, University of Nottingham Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK. Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research, Honda Research Institute Europe. "},{"title":"Acknowledgement​","type":1,"pageTitle":"Clarity Challenge pre-announcement","url":"blog/Clarity Challenge pre-announcement#acknowledgement","content":" The image copyright is owned by the University of Nottingham. "},{"title":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","type":0,"sectionRef":"#","url":"blog/Announcing CPC2","content":"","keywords":""},{"title":"Register now to take part​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#register-now-to-take-part","content":" If you are interested in participating please register now via the online registration form. "},{"title":"Important Dates​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#important-dates","content":" March - Launch of challenge, release of training data + baseline system.1st July - Release of evaluation data and opening of submission window.31st July - Submission deadline.19th August - ISCA Clarity 2023 workshop @ Interspeech19th September - Deadline for submission of finalised Workshop papers "},{"title":"What will be provided​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#what-will-be-provided","content":" Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The corresponding clean reference signals (the original speech);Characteristics of the listeners (pure tone audiograms, etc);The measured speech intelligibility scores from listening tests, where hearing-impaired listeners were asked to say what they heard after listening to the hearing aid processed signals.Software tools including a baseline system based on HASPI scores. "},{"title":"For further information​","type":1,"pageTitle":"Announcing the 2nd Clarity Prediction Challenge (CPC2)","url":"blog/Announcing CPC2#for-further-information","content":" To be kept up to date please join our Clarity Challenge Google group. If you have questions, please contact us directly using the contact details found here. "},{"title":"CPC1 results and prizes","type":0,"sectionRef":"#","url":"blog/CPC1 results and prizes","content":"The 1st Clarity Prediction Challenge is now complete. Thank you to all who took part! The full results can be found on the Clarity-2022 workshop website where you will also find links to system papers and the overview presentation. Many of the systems have led to successful Interspeech 2022 papers and will be contributing to the Interspeech 2022 special session on Speech Intelligibility Prediction for Hearing-Impaired Listeners. We hope to see many of you in Korea! In the meantime, please be sure to check out the onging 2nd Clarity Enhancement Challenge. The deadline for submitting enhanced signals is 1st September 2022, so there is still time to participate. To register a team please use the form here.","keywords":""},{"title":"CPC2 eval data released","type":0,"sectionRef":"#","url":"blog/CPC2 eval data released","content":"The CPC2 evaluation data has now been released. The data is available for download as a single 478 MB file, clarity_CPC2_data.test.v1_0.tgz. The evaluation data should be untarred into the same root as the training data. Further details can be found on the challenge website. The data consists of the hearing aid algorithm output signals, clean reference signals, listener audiograms, and head rotation information. Listener responses are not provided for the evaluation data but will be made available after the submission window has closed. For details on how to prepare your submission please see the instructions on the website. If you have any questions please feel free to post them on this forum. The submission window will close on the 31st of July. Good luck!","keywords":""},{"title":"Clarity-2023 Workshop @ Interspeech, Dublin","type":0,"sectionRef":"#","url":"blog/Clarity-2023 Workshop @ Interspeech, Dublin","content":"We are pleased to announce the 4th ISCA Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023). The event will be a one-day workshop held as an ISCA satellite event to Interspeech 2023 in Dublin, Ireland. For registration and programme details please visit the workshop website https://claritychallenge.github.io/clarity2023-workshop/ IMPORTANT DATES 2nd June 2023 - Workshop Submission Deadline (Regular Papers)31st July 2023 - Workshop Submission Deadline (Clarity Challenge Papers)5th August 2023 - Registration closes19th August - Workshop / Clarity Challenge results announced About One of the biggest challenges for hearing-impaired listeners is understanding speech in the presence of background noise. Everyday social noise levels can have a devastating impact on speech intelligibility. The inability to communicate effectively can lead to social withdrawal and isolation. Disabling hearing impairment affects 360 million people worldwide, with that number increasing because of the ageing population. Unfortunately, current hearing aid technology is often ineffective in noisy situations. Although amplification can restore audibility, it does not compensate fully for the effects of hearing loss. The Clarity workshops are designed to stimulate a two-way conversation between the speech research community and hearing aid developers. Hearing aid developers, who are not typically represented at Interspeech, will have an opportunity to present the challenges of their industry to the speech community; the speech community will be able to present and discuss potentially transformative approaches to speech in noise processing in the presence of hearing researchers and industry experts. Topics Any work related to the challenges of hearing aid signal processing will be considered relevant topics include, Binaural technology for speech enhancement and source separationMulti-microphone processing technologyReal-time approaches to speech enhancementStatistical model-driven approaches to hearing aid processingAudio quality & intelligibility assessment hearing aid and cochlear implant usersEfficient and effective integration of psychoacoustic testing in machine learningMachine learning for diverse target listenersMachine learning models of hearing impairment The 2nd Clarity Prediction Challenge The Clarity-2023 will also host the 2nd Clarity Prediction Challenge, that is addressing the problem of developing new intrusive and non-intrusive approaches to hearing-aid speech intelligibility prediction. The Challenge will be launching on 1st March, is you may be interested in participating please sign up to our Google group for further announcements. Keynote Talks Prof Fei Chen, SUSTech, China,Prof DeLiang Wang, Ohio State University, US Organisers Michael Akeroyd, University of NottinghamJon Barker, University of SheffieldTrevor Cox, University of SalfordFei Chen, Southern University of Science and Technology, ChinaJohn Culling, University of CardiffSimone Graetzer, University of SalfordAndrew Hines, University College Dublin For further information To be kept up to date please join our Clarity Challenge Google group. If you have questions, please contact us directly using the contact details found here. Funded by the Engineering and Physical Sciences Research Council (EPSRC), UK Supported by RNID (formerly Action on Hearing Loss), Hearing Industry Research Consortium, Amazon TTS Research","keywords":""},{"title":"Release of CEC2 baseline","type":0,"sectionRef":"#","url":"blog/release of CEC2 baseline","content":"We are pleased to announce the release of the 2nd Clarity Enhancement Challenge (CEC2) baseline system code. The baseline code has been released in the latest commit to the Clarity GitHub repository. The baseline system perform NAL-R amplification according to the audiogram of the target listener, followed by a simple gain control and output of the signals to 16-bit stereo wav format. The system has been kept deliberately simple with no microphone array processing or attempt at noise cancellation. HASPI scores for the dev set have been measured. The scores are as follows. System\tHASPIUnprocessed\t0.1615 NAL-R baseline\t0.2493 See here for further details. If you have any problems using the baseline code please do not hesitate to contact us at claritychallengecontact@gmail.com, or post questions on the Google group.","keywords":""},{"title":"Launch of CEC2","type":0,"sectionRef":"#","url":"blog/launch of CEC2","content":"We are pleased to announce the launch of the 2nd Clarity Enhancement Challenge (CEC2). The website has been fully updated to provide you with all the information you will need to participate in the challenge. The schedule for the challenge is as follows: 13th April 2022: Release of training and development data; initial tools.30th April 2022: Release of full toolset and baseline system.1st May 2022: Registration for challenge entrants opens.25th July 2022: Evaluation data released1st Sept 2022: 1st round submission deadline for evaluation by objective measure15th Sept 2022: 2nd round submission deadline for listening testsSept-Nov 2022: Listening test evaluation period.2nd Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. The challenge training, dev data and initial tools will be available from 13th April. In the meantime, please visit the CEC2 Intro page to learn more about the task. If you have any questions please do not hesitate to contact us at claritychallengecontact@gmail.com.","keywords":""},{"title":"ICASSP 2023 evaluation data released","type":0,"sectionRef":"#","url":"blog/ICASSP 2023 evaluation data released","content":"We are pleased to announce that the evaluation dataset for the ICASSP Clarity Challenge is now available for download. https://www.myairbridge.com/en/#!/folder/EkthOZZeBW33aaDBWSDadTgpOkbgaFxO For instructions on preparing your submission please visit: https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_submission If you have not yet registered it is not too late to do so. Please use the form at the link below and we will then send you a Team ID and a personalised upload link for your submission. https://claritychallenge.org/docs/icassp2023/taking_part/icassp2023_registration Note, we have extended the deadline for submission until Friday 10th February so that teams have a full week to process the signals. The remaining schedule is as follows, 2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session","keywords":""},{"title":"Live events in January","type":0,"sectionRef":"#","url":"blog/Jan-2-live-events","content":"","keywords":""},{"title":"Webinar - Challenge Overview​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#webinar---challenge-overview","content":" "},{"title":"Friday 14th January​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#friday-14th-january","content":" 9:00 GMT | 17:00 CST (GMT+8) "},{"title":"Click here to join the webinar​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#click-here-to-join-the-webinar","content":" An introduction to the aims of the challenge and some background to the problem of speech intelligibility prediction for hearing aids: Welcome, introduction to Clarity.Speech intelligibility models: Overview and why are they needed.Hearing impairment speech intelligibility prediction.The prediction challenge - details and how you can sign up to participate.Audience questions / discussion. The presentations will be recorded and made available online shortly after the event. The Q&A discussion will not be recorded. You are welcome to join slightly later if you are only interested in joining for the Q&A section (presentations should finish around 9:40 GMT). "},{"title":"Live Q&A session​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#live-qa-session","content":" "},{"title":"Monday 17th January​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#monday-17th-january","content":" 17:00 GMT | 12:00 EST (GMT-5) | 9:00 PST (GMT-8) "},{"title":"Click here to join the Q&A​","type":1,"pageTitle":"Live events in January","url":"blog/Jan-2-live-events#click-here-to-join-the-qa","content":" A chance to ask the team questions about the Clarity Prediction Challenge - for anyone that could not attend the webinar on Friday 14th due to time zone differences. Please note there will be no presentations in this session. The talks from Friday’s webinar will be uploaded to the Clarity project YouTube channel later in the day so you are invited to watch those before joining this live Q&A. "},{"title":"One approach to our enhancement challenge","type":0,"sectionRef":"#","url":"blog/One approach to our enhancement challenge","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"One approach to our enhancement challenge","url":"blog/One approach to our enhancement challenge#references","content":" [1] Andersen, A.H., Haan, J.M.D., Tan, Z.H. and Jensen, J., 2015. A binaural short time objective intelligibility measure for noisy and enhanced speech. In the Sixteenth Annual Conference of the International Speech Communication Association.[2] Li, H., Fu, S.W., Tsao, Y. and Yamagishi, J., 2020. iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. arXiv preprint arXiv:2004.00932.[3] Gillhofer, M., Ramsauer, H., Brandstetter, J., Schäfl, B. and Hochreiter, S., 2019. A GAN based solver of black-box inverse problems. Proceedings of the NeurIPS 2019 Workshop.[4] Kawanaka, M., Koizumi, Y., Miyazaki, R. and Yatabe, K., 2020, May. Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7524-7528). IEEE. "},{"title":"Sounds for round one","type":0,"sectionRef":"#","url":"blog/Sounds","content":"","keywords":""},{"title":"Everyday background noises that interfere with understanding of speech​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#everyday-background-noises-that-interfere-with-understanding-of-speech","content":" A long and varied list of sounds cause problems. These lists are in no particular order. Living room or spaceClocks tickingCrisp packets rustlingTaps runningKettles boilingDishwasherMicrowaveWashing machineTV, music, radioPhone ringing (or receiving texts – unknown beeps/tones)Newspapers rustlingAir-conditioning and oven extractor fansVacuum cleanerDoorbell ringingDog barkingRain on window "},{"title":"Family and friends​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#family-and-friends","content":" Cutlery/crockery banging/clangingDoors opening/closing (to rooms and cupboards)MusicPeople walking around the roomChildren playing with toysLaughingPeople talking from another roomSpeakers from a different conversation in close proximity (i.e. beside you) when you are trying to converseTraffic outsideChewing/chompingSteam pipes/ coffee machinesChairs being moved "},{"title":"Outside​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#outside","content":" Church bellsMarket noiseFootsteps on different types of ground, i.e. heels on hard floors but also wellingtons in mudClothes rustling (such as waterproof coats or hat on hearing aid)Wind (even with HA on ‘wind setting’)Pigeons/birdsSirensTraffic noise (especially at junctions)MusicLaughterPhones ringingTillsChildren playing outside or running around (in shops, on the street and at parks)Beeping signal at crossingsGarden centres – high glass ceilings, open plan, trolleysRoad/ tyre and traffic noise when in a car or on the busAlso mentioned how people you speak to in the car may be in front or behind youTrains and the tubeAeroplanes and airports (suitcases rolling)Tannoys "},{"title":"Characteristics of processed speech to consider​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#characteristics-of-processed-speech-to-consider","content":" Clarity (clearness) or qualityRhythm of speech‘Inflection’ (intonation)Similarity to original speakerAgreed that in situations where the voice would not be processed clearly, i.e. outside with many noise sources, not sounding like the original - speaker is fine. "},{"title":"Other comments​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#other-comments","content":" Speed of speech; it was suggested that we have sentences read at different speeds as faster talkers are often harder to understand.Stated that emphasis on key words is useful for following conversation; perhaps key words in the sentence when marked should be given higher value.Lots of comments on room acoustics, i.e., ceiling heights, furnishings, floorings, windows etc., which has a big impact on how difficult it is to have a conversation with background noise.Different accents of talkers can make conversation more difficult; including speakers with different accents in the background.We’re now working out what sounds to use. But are there other sounds we should consider? "},{"title":"Credits​","type":1,"pageTitle":"Sounds for round one","url":"blog/Sounds#credits","content":" Thank you to the patient and public involvement representatives who participated.Clarity Organiser: Eszter Porter .Facilitators: Adele Horobin, Erin Dawe-Lane.This discussion group was supported by the National Institute for Health Research Nottingham Biomedical Research Centre. "},{"title":"Latency, computation time and real-time operation","type":0,"sectionRef":"#","url":"blog/Latency, computation time and real-time operation","content":"","keywords":""},{"title":"The 1st Clarity Enhancement Challenge​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#the-1st-clarity-enhancement-challenge","content":" For a hearing aid to work well for users, the processing needs to be quick. The output of the hearing aid should be produced with a delay of less than about 10 ms. Many audio processing techniques are non-causal, i.e., the output of the system depends on samples from the future. Such processing is useless for hearing aids and therefore our rules include a restriction on the use of future samples. The rules state the following: Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5ms).There is no limit on computational cost. Mathematically this is: yn=f(xm , xm+1 ... xn+N-1 , xn+N , L ) where yn is the output from your hearing aid for sample nnn.xxx is the audio input signal from a hearing aid microphone.N=0.005fsN = 0.005 fsN=0.005fs where fsfsfs is the sampling frequency.mmm is a sample number where m≤nm \\le nm≤n.LLL is the listener characteristics.f()f()f() is the hearing aid function. There is no limitation on how long this takes to compute.You can use multiple microphones; only a single input signal xxx is shown here just for simplicity. Here it is illustrated as a diagram. Figure. Example of how the limit of 5 ms is applied to a hearing aid input and output signal. We have a chosen a limit of 5 ms because in a real hearing aid there will be other sources of delay (e.g., analogue-to-digital, digital-to-analogue conversion). "},{"title":"Why is there no limitation of how long f() takes to compute?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#why-is-there-no-limitation-of-how-long-f-takes-to-compute","content":" We’re trying to foster new approaches to hearing aid processing and decided that at this stage we will drive more innovation if we don’t restrict computation time for round one. Such restrictions will be considered in future rounds. "},{"title":"Why haven’t you talked about latency?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#why-havent-you-talked-about-latency","content":" In discussions, it is apparent that this term is used in different ways by different people, so to avoid confusion we’re not using it! "},{"title":"Do algorithms have to be real-time?​","type":1,"pageTitle":"Latency, computation time and real-time operation","url":"blog/Latency, computation time and real-time operation#do-algorithms-have-to-be-real-time","content":" The above limitations mean that the algorithms could in theory be made real-time if a powerful enough computer was available, but your entry can take as long as it needs to process the signals. "},{"title":"Hearing loss simulation","type":0,"sectionRef":"#","url":"blog/Hearing loss simulation","content":"","keywords":""},{"title":"Audio examples of hearing loss​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#audio-examples-of-hearing-loss","content":" Here are two samples of speech in noise processed through the simulator. In each audio example there are three versions of the same sentence: Unimpaired hearingMild hearing impairmentModerate to severe hearing impairment 0 dB signal to noise ratio Your browser does not support the audio element. And here is an example where the noise is louder: Your browser does not support the audio element. Noisier: -10dB signal to noise ratio "},{"title":"Acknowledgements​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#acknowledgements","content":" The hearing loss model we’re using was generously supplied by Michael Stone at the University of Manchester as MATLAB code and translated by us into Python. The original code was written by members of the Auditory Perception Group at the University of Cambridge, ca. 1991-2013, including Michael Stone, Brian Moore, Brian Glasberg and Thomas Baer. Information about the model can be found primarily in Nejime and Moore (1997), but also in Nejime and Moore (1998), Baer and Moore (1993 and 1994), and Moore and Glasberg (1993). The original speech recordings come from the ARU corpus, University of Liverpool (Hopkins et al. 2019). This corpus is freely available at the link in the reference below. "},{"title":"References​","type":1,"pageTitle":"Hearing loss simulation","url":"blog/Hearing loss simulation#references","content":" Baer, T., & Moore, B. C. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. The Journal of the Acoustical Society of America, 94(3), 1229-1241.Baer, T., & Moore, B. C. (1994). Effects of spectral smearing on the intelligibility of sentences in the presence of interfering speech. The Journal of the Acoustical Society of America, 95(4), 2277-2280.Hopkins, C., Graetzer, S., & Seiffert, G. (2019). ARU adult British English speaker corpus of IEEE sentences (ARU speech corpus) version 1.0 [data collection]. Acoustics Research Unit, School of Architecture, University of Liverpool, United Kingdom. DOI: 10.17638/datacat.liverpool.ac.uk/681. Retrieved from http://datacat.liverpool.ac.uk/681/.Moore, B. C., & Glasberg, B. R. (1993). Simulation of the effects of loudness recruitment and threshold elevation on the intelligibility of speech in quiet and in a background of speech. The Journal of the Acoustical Society of America, 94(4), 2050-2062.Moore, B. C., Glasberg, B. R., & Vickers, D. A. (1996). Factors influencing loudness perception in people with cochlear hearing loss. B. Kollmeier, World Scientific, Singapore, 7-18.Nejime, Y., & Moore, B. C. (1997). Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. The Journal of the Acoustical Society of America, 102(1), 603-615.Nejime, Y., & Moore, B. C. (1998). Evaluation of the effect of speech-rate slowing on speech intelligibility in noise using a simulation of cochlear hearing loss. The Journal of the Acoustical Society of America, 103(1), 572-576. "},{"title":"Introduction Webinar - Recording Available","type":0,"sectionRef":"#","url":"blog/webinar-1-link","content":"The Clarity team recently hosted a webinar to introduce the Prediction Challenge. The recording is now available to view online: The slides are available to download: 1 Welcome and Overview 2 Speech Intelligibility Models 3 Hearing Impariment and SI Prediction 4 Clarity Prediction Challenge Details Note that we did not record the Q&A session at the end, but if you have questions about taking part in the challenge you can contact us at claritychallengecontact@gmail.com","keywords":""},{"title":"The baseline","type":0,"sectionRef":"#","url":"blog/The baseline","content":"An overview of the current state of the baseline we’re developing for the machine learning challenges We’re currently developing the baseline processing that challenge entrants will need. This takes a random listener and a random audio sample of speech in noise (SPIN) and passes that through a simulated hearing aid (the Enhancement Model). This improves the speech in noise. We then have an algorithm (the Prediction Model) to estimate the Speech Intelligibility that the listener would perceive (SI score). This score can then be used to drive machine learning to improve the hearing aid. A talk through the baseline model we’re developing. The first machine learning challenge is to improve the enhancement model, in other words, to produce a better processing algorithm for the hearing aid. The second challenge is to improve the prediction model using perceptual data we’ll provide.","keywords":""},{"title":"Welcome to CPC1","type":0,"sectionRef":"#","url":"blog/welcome to CPC1","content":"Welcome to the new Clarity CPC1 site for the first prediction challenge launching in autumn 2021. Feel free to look around. At the moment we're still doing listening tests and preparing the data, so the download links don't work. If anything is unclear or you've got questions, please contact us through the Google group.","keywords":""},{"title":"Why use machine learning challenges for hearing aids?","type":0,"sectionRef":"#","url":"blog/Why use machine learning challenges for hearing aids","content":"","keywords":""},{"title":"Components of a challenge​","type":1,"pageTitle":"Why use machine learning challenges for hearing aids?","url":"blog/Why use machine learning challenges for hearing aids#components-of-a-challenge","content":" There needs to be a common task based on a target application scenario to allow communities to gain from benchmarking and collaboration. Clarity project’s first enhancement challenge will be about hearing speech from a single talker in a typical living room, where there is one source of noise and a little reverberation. We’re currently working on developing simulation tools to allow us to generate our living room data. The room acoustic will be simulated using RAVEN and the Hearing Device Head-related Transfer Functions will come from Denk’s work. We’re working on getting better, more ecologically valid speech than is often used in speech intelligibility work. Entrants are then given training data and development (dev) test data along with a baseline system that represents the current state-of-the-art. You can find a post and video on the current thinking on the baseline here. We’re still working on the rules stipulating what is and what is not allowed (for example, will entrants be allowed to use data from outside the challenge). Clarity’s first enhancement challenge is focussed on maximising the speech intelligibility (SI) score. We will evaluate this first through a prediciton model that is based on a hearing loss simulation and an objective metric for speech intellibility. Simulation has been hugely important for generating training data in the CHIME challenges and so we intend to use that approach in Clarity. But results from simulated test sets cannot be trusted and hence a second evaluation will come through perceptual tests on hearing impaired subjects. However, one of our current problems is that we can’t bring listeners into our labs because of COVID-19. We’ll actually be running two challenges in roughly parallel, because we’re also going to task the community to improve our prediction model for speech intelligibility. We’re running a series of challenges over five years. What other scenarios should we consider? What speech? What noise? What environment? Please comment below. "},{"title":"Acknowledgements​","type":1,"pageTitle":"Why use machine learning challenges for hearing aids?","url":"blog/Why use machine learning challenges for hearing aids#acknowledgements","content":" Much of this text is based on Jon Barker’s 2020 SPIN keynote "},{"title":"The speech-in-noise problem part two","type":0,"sectionRef":"#","url":"blog/The speech-in-noise problem part two","content":"","keywords":""},{"title":"Machine learning​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#machine-learning","content":" In recent years, there has been increasing interest in what machine learning methods can do for hearing aids. Machine learning is a branch of artificial intelligence where computers learn directly from example data. One machine learning method is the neural network. This is an algorithm formed from layers of simple computational units connected to each other in a way that is inspired by connections between neurons in the brain. Deep (3+ layer) neural networks are able to learn complex, non-linear mapping functions, which makes them ideal candidates for noise reduction tasks. We anticipate that machine learning can help tackle the challenge of speech in noise for hearing aids, providing a tailored solution for each individual and listening situation. For example, one thing machine learning could do is to sense the acoustic environment the listener is in, and choose the most suitable processing settings. Image via www.vpnsrus.com In recent years, a machine learning approach for noise reduction has become popular. Neural networks are used to estimate time-frequency masks (a set of gains for each time-frequency unit that, when multiplied by the signal, produce less noisy speech; see, e.g., Zhao et al., 2018). Machine learning systems for noise reduction are trained on artificially mixed speech and noise. Some operate on a single channel, i.e., using spectral cues, and some work with multiple channels using spatial cues. We expect that future hearing aids built on machine learning will perform best if they combine the left and right microphones to work binaurally. Most of these noise reduction systems have been designed and evaluated in an off-line mode where they process pre-recorded signals. This isn’t much use for hearing aids that need to work in real-time with low latency (i.e., short delays). One challenge for hearing aids is to redesign off-line approaches to work quickly enough without too much loss of performance. The potential for machine learning to produce better approaches to hearing aid processing is what motivated the Clarity Project. If you’re interested in hearing more as the challenges develop, please sign up. "},{"title":"References​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#references","content":" Brons, I., Houben, R., and Dreschler, W. A. (2014). Effects of noise reduction on speech intelligibility, perceived listening effort, and personal preference in hearing-impaired listeners. Trends in hearing, 18, 1-10.Van den Bogaert, T., Doclo, S., Wouters, J., and Moonen, M. (2009). Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing aids. The Journal of the Acoustical Society of America, 125(1), 360-371.Zhao, Y., Wang, D., Johnson, E. M., and Healy, E. W. (2018). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. The Journal of the Acoustical Society of America, 144(3), 1627-1637. "},{"title":"Credits​","type":1,"pageTitle":"The speech-in-noise problem part two","url":"blog/The speech-in-noise problem part two#credits","content":" Photograph of hearing aid wearer, copyright University of Nottingham. Image of brain with overlaid circuity made available by www.vpnsrus.com. "},{"title":"Welcome","type":0,"sectionRef":"#","url":"blog/welcome","content":"Welcome to the new Clarity blog. We will be using this blog to post regular updates about our Challenges and Workshop, as well as posts discussing the tools and techniques that we are using in our baseline systems.","keywords":""},{"title":"The speech-in-noise problem","type":0,"sectionRef":"#","url":"blog/The speech-in-noise problem","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"The speech-in-noise problem","url":"blog/The speech-in-noise problem#references","content":" Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. International Journal of Audiology, 47(sup2), S53-S71.Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. The Journal of the Acoustical Society of America, 25(5), 975-979.Heinrich, A., Henshaw, H., and Ferguson, M. A. (2015). The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech perception tests. Frontiers in Psychology, 6, 782.Vestergaard Knudsen, L., Öberg, M., Nielsen, C., Naylor, G., and Kramer, S. E. (2010). Factors influencing help seeking, hearing aid uptake, hearing aid use and satisfaction with hearing aids: A review of the literature. Trends in Amplification, 14(3), 127-154.Kochkin, S. (2000). MarkeTrak V: “Why my hearing aids are in the drawer” The consumers’ perspective. The Hearing Journal, 53(2), 34-36. "},{"title":"Credits​","type":1,"pageTitle":"The speech-in-noise problem","url":"blog/The speech-in-noise problem#credits","content":" Photo of Cocktail party by Ross CC BY-NC-SA 2.0Ronan, N., & Barrett, G. (2014). A 68 year old woman with deteriorating hearing. BMJ, 348, g2984. https://www.bmj.com/content/348/bmj.g2984 "},{"title":"Download","type":0,"sectionRef":"#","url":"docs/cec1/cec1_download","content":"Download The baseline code is available on Github. The github repository includes instructions for obtaining the data.","keywords":""},{"title":"The 1st Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec1/cec1_intro","content":"The 1st Clarity Enhancement Challenge warning The 1st Clarity Enhancement Challenge has now finished. For the details of the systems that were submitted and to see the table of results, please visit the Clarity-2021 Workshsop website. For details of information on forthcoming challenge see here. Dates - key challenge dates. Scenario - a description of the listening scenario and how it has been simulated. Baseline System - a description of the baseline hearing aid model. CEC1 Data - the data that can be used to train and evaluate your system during development. CEC1 Software - the software tools that we are providing to help you build and evaluate a challenge entry. Challenge Rules - the rules to which all challenge entries must adhere. Listening Tests - information about the listening tests which will be used to evaluate the best systems. Submission - information about how to prepare your submission. Prizes - information about our prizes. Download - where to go to download the software and challenge data.","keywords":""},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cec1/software/cec1_baseline","content":"Baseline System Figure 1 shows a simplified schematic of the baseline system. For simplicity, not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener, hence there is also a system to select a random listener (white ellipse) with a particular set of pure tone air-conduction thresholds or audiograms. The speech in noise that has been improved by the hearing aid is then passed to the prediction stage (orange box). This includes: (i) a simulation of hearing loss and (ii) a binaural model of intelligibility that estimates the speech intelligibility. Figure 1 Simplified overview of the baseline. As stated in the rules of the first Enhancement Challenge, you are free to choose which parts of the baseline are useful to your approach, and reconfigure the system as you feel fit. More details of the different parts of the baseline appear on the software page, see, Scene GeneratorHearing aid modelHearing loss modelSpeech intelligibility model Download baseline software and data.","keywords":""},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cec1/cec1_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cec1/cec1_results#prizes","content":" The Hearing Industry Research Consortium prizes were awarded as follows: The prizes for the MBSTOI evaluation were awarded to the Brno University of Technology team (first place), the Music Tribe team (second place) and theELO-SPHERES Consortium (third place). The University of Sheffield team was not eligible to win prizes due to connections with the organisers. The overall prizes for the listening test evaluation were awarded to the University of Oldenburg team (first place) and the ELO-SPHERES Consortium (second place). In the noise interferer category, the University of Oldenburg and Googlears teams were the best performers, while in the speech interferer category, the University of Oldenburg team and ELO-SPHERES Consortium were the best performers. For a discussion of the differences in performance for the noise and speech interferers, see the [YouTube video]. The Amazon student prizes were awarded to Katerina Zmolikova from the Brno University of Technology team (first place), Tomas Gajecki from the Medical University Hannover team (second place), and Xi Chen from Shenzhen University, who was an intern at Tencent while working on this challenge (third place). Congratulations to all our prize the winners! "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cec1/cec1_dates","content":"Important Dates We are operating a two-stage submission process with the following key dates. 1st June 2021: Evaluation data release for MBSTOI evaluation for all entrants. 11th June 2021: Registration deadline. 15th June 2021: All entrants submit (i) audio for MBSTOI evaluation and (ii) a draft of their technical report (details below). 22nd June 2021: Deadline by which all entrants must submit two page technical reports to Clarity-2021 workshop (details below). 22nd June 2021: Entrants informed which systems are going forward to the listening test evaluation stage. Evaluation data for listening tests released to those entrants. 29th June 2021: Entrants submit audio for listening tests.","keywords":""},{"title":"Rules","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions.The organisers may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.All teams will be referred to using anonymous codenames in rank ordering. "},{"title":"Intellectual property​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"What information can I use?​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#training-and-development","content":" There is no limit on the amount of training data that can be generated using our tools. Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferer for each hearing aid microphone), andThe listener characterisation (pure tone air-conduction audiograms). "},{"title":"Computational restrictions​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.Systems must be causal; the output at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#submitting-multiple-entries","content":" If you wish to submit two entries, where one is optimised for MBSTOI and the other, for listening tests, Both systems must be submitted for MBSTOI evaluation.You must register two teams, submitting each entry as a different team.In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries. We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#evaluation-of-systems","content":" "},{"title":"Stage 1: Objective evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#stage-1-objective-evaluation","content":" Entries will be ranked according to average Modified Binaural Short-Time Objective Intelligibility (MBSTOI) score across all samples in the evaluation/test dataset (i.e., all signals submitted for the MBSTOI evaluation). "},{"title":"Stage 2: Listening test evaluation​","type":1,"pageTitle":"Rules","url":"docs/cec1/taking_part/cec1_rules#stage-2-listening-test-evaluation","content":" There is a limit on how many systems can be evaluated by the listener panel.A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches.We will choose which will go to the listener panel based on The top N scored using the objective evaluation method.A sample of M others that use contrasting and promising approaches. "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cec1/taking_part/cec1_prizes#the-team-prize","content":" Team prizes have been made available by the generosity of the Hearing Industry Research ConsortiumThere will be separate MBSTOI and listening test prizes for the top systems. MBSTOI prize 1st Place $1000 2nd Place $500 3rd Place $250 Listening Test prize 1st Place $1000 2nd Place $500 3rd Place $250 "},{"title":"The Amazon Student Prize​","type":1,"pageTitle":"Prizes","url":"docs/cec1/taking_part/cec1_prizes#the-amazon-student-prize","content":" Student prizes have been made available by the generosity of Amazon TTS Research Amazon prize for top student contribution 1st Place $1000 2nd Place $500 3rd Place $250 The award will be judged by a panel formed from members of the Clarity-2021 workshop scientific committee.There will be a lightweight nomination process. Details to be announced. info Anonymous entries and those with direct links to the Clarity project team are ineligible for cash prizes, sorry. "},{"title":"CEC2 Download","type":0,"sectionRef":"#","url":"docs/cec2/cec2_download","content":"","keywords":""},{"title":"Software​","type":1,"pageTitle":"CEC2 Download","url":"docs/cec2/cec2_download#software","content":" All the necessary software tools are available as a single GitHub repository. We recommend installing the software first and then following the instructions in the repository's README for downloading and unpacking the data. "},{"title":"Data​","type":1,"pageTitle":"CEC2 Download","url":"docs/cec2/cec2_download#data","content":" The data is available for download here. On the download site you will see three data packages are available, clarity_CEC2_core.v1_1.tgz [28 GB] - metadata and dev setclarity_CEC2_train.v1_1.tgz [69 GB] - scenes for training systemsclarity_CEC2_hoairs.v1_0.tgz [144 GB] - impulse responses for generating extended training data All participants will require the core data package. Participants using machine learning approaches will additionally require the train data package. Participants wishing to extend the training set by using our provided scene rendering tools will also require the high order ambisonic impulse responses (i.e., the hoairs package). To unpack the data we recommend you follow the instructions in the Clarity Challenge GitHub repository. danger If you previously downloaded v1_0 of the core and train data, please replace your data with v1_1: an error was found in the head rotations for the initial data release. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cec2/cec2_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cec2/cec2_results#prizes","content":" The Hearing Industry Research Consortium prizes for systems with the best HASPI score were awarded as follows: 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge 3rd place: System E008_hr, Ouyang et al., The Orka Inc Entry to the 2nd Clarity Enhancement Challenge The Hearing Industry Research Consortium prizes for systems providing the best listener intelligibility scores were awarded as follows: 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge 3rd place: System E037, Lei et al., The Nanjing University / Horizon Robotics system for the 2nd Clarity Enhancement Challenge Congratulations to the winners! "},{"title":"CEC2 Schedule","type":0,"sectionRef":"#","url":"docs/cec2/cec2_dates","content":"CEC2 Schedule Key dates are as follows 30th March 2022: Challenge website launch 14th April 2022: Release of training and development data, plus core software. 30th April 2022: Release of full toolset and baseline system. 1st May 2022: Registration for challenge entrants opens. 25th July 2022: Evaluation data released 1st Sept 2022: 1st round submission deadline for evaluation by objective measure 15th Sept 2022: 2nd round submission deadline for listening tests Sept-Nov 2022: Listening test evaluation period. 12th Dec 2022: Results announced at a Clarity Challenge Workshop; prizes awarded. Workshop likely to be a one-day virtual event","keywords":""},{"title":"Scene Generation","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_scene_generation","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"Scene Generation","url":"docs/cec2/data/cec2_scene_generation#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg. "},{"title":"Submission","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#registration","content":" Teams are required to register using the form below. Please submit one form per team, i.e., providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID and an individualised link to a Google Drive for submitting materials. Loading… info It is important that all teams who are intending to submit an entry complete the registration form no later than 11th June. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of 1500 scenes. For each scene you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON formatted metadata consisting of the audiograms of a set of listeners anda mapping of which listeners will listen to which scenes. For the MBSTOI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. For the listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the CEC1 Data page. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#what-audio-do-i-need-to-submit","content":" You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the MBSTOI evaluation (due 15th June) and the second for the listening tests (due 29th June). MBSTOI evaluation. Signals should be submitted in floating point WAV format with a 44.1 kHz sampling rate. For levels, we will follow the convention in the baseline hearing aid (at the output) and hearing loss models. That is, a +/-1 square wave has RMS = 0 dB FS and corresponds to 120 dB. Listening tests. Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate (due to hardware limitations). You should ensure that any samples that are greater than +1 or less than -1 have been hard-clipped at +/-1 before submission. Here, 0 dB FS corresponds to approximately 100 dB, given the capabilities of the reproduction equipment. These signals will be played as is to the listener panel. We also encourage you to submit your simulated hearing aid code. See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_HA-output.wav and explained on the CEC1 data page. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., E001 and then packaged using zip or tar or any standard packaging tool. The resulting file should be about 2 GB for the first round. "},{"title":"Technical report​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-2021 Workshop. Deadline 22nd June. An author kit and submission instructions are available at the workshop website. A draft of the report needs to be uploaded to the Google Drive along with your MBSTOI signals by 15th June. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules. Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Your report should cite the following document, which provides an overview of the challenge and the baseline system: S. Graetzer, J. Barker, T. J. Cox, M. Akeroyd, J. F. Culling, G. Naylor, E. Porter, and R. Viveros Muñoz, “Clarity-2021 challenges: Machine learning challenges for advancing hearing aid processing,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno, Czech Republic, 2021. The document can be accessed here. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"Submission","url":"docs/cec1/taking_part/cec1_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. You will be able to use the same link to upload materials for both the 1st submission, and the 2nd submission if you are selected for the 2nd round. We also encourage you to submit your simulated hearing aid code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"The 2nd Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec2/cec2_intro","content":"","keywords":""},{"title":"Overview of challenge​","type":1,"pageTitle":"The 2nd Clarity Enhancement Challenge","url":"docs/cec2/cec2_intro#overview-of-challenge","content":" We want you to improve speech in the presence of background noise - see Figure 1. On the left there is a person with a quantified hearing loss. They are listening to speech from the target talker on the right. They are both in a living room. There is interfering noise from a number of sources (TV and washing machine in this case). The speech and noise is sensed by microphones on the hearing aids of the listener. Your task is to take these microphone feeds and the listener’s hearing characteristics, to produce signals where the speech is more intelligible. We will evaluate the success of your processing using an objective speech intelligibility metric. Some entrants will also be evaluated by a panel of listeners with a hearing impairment. Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound. The scenario has been made more difficult than the first Clarity Enhancement Challenge by having: More noise sourcesMore varied noise sources (speech, music, appliances)The listener turns their head during the talking.Less predictable target onset timing. For more details use the contents pane on the left to navigate the CEC2 site. "},{"title":"Listening Tests","type":0,"sectionRef":"#","url":"docs/cec1/taking_part/cec1_listening_tests","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#overview","content":" Our panel members will be provided with a tablet preloaded with our Listen@Home software and headphones to complete the listening experiment. They will listen to an entrant’s sentence, respond verbally with what they think was said by the target talker, and then move on to the next sentence. Their response will be recorded by the tablet microphone(s) and then processed using automatic speech recognition. Intelligibility will be evaluated as the number of words identified correctly in the sentence. Our plan is that each listener will evaluate 1,200 sentences, which is about 4 hours of listening, and that every listener will evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible. Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn. "},{"title":"Listen@Home hardware​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#listenhome-hardware","content":" We will be using a Lenovo 10e Chromebook running Android 81.0 and Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. Without loudness-recruitment measures for our listeners, we cannot be sure just what loudnesses every participant will hear, so we need to allow them to make the choice here. We have measurements on the output capability of a system in the laboratory: A 1 kHz pure tone set to be the most powerful it can be (i.e., an amplitude range of +/-1 = RMS amplitude of 0.707, and the volume controls at 100%) gave 99 dB(A) SPL on the PC-8 headphones.An ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3, gave 90 dB(A) at the same volume level. With this RMS, the noise had 0.1% of its samples clipped at +/- 1. It is important to note that there is a convention for the prediction model that a +/-1 square wave has RMS = 0 dB FS and corresponds to 120 dB, while for listening tests, 0 dB FS corresponds to approximately 100 dB, given the above capabilities of the reproduction equipment. For the listening tests, we will require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate (see this page). We will play the signals as is using a HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"References​","type":1,"pageTitle":"Listening Tests","url":"docs/cec1/taking_part/cec1_listening_tests#references","content":" [1] ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_baseline","content":"","keywords":""},{"title":"Baseline performance​","type":1,"pageTitle":"Baseline System","url":"docs/cec2/software/cec2_baseline#baseline-performance","content":" The average speech intelligibility (HASPI) score for the unprocessed development test set is 0.1615. When processed with the simple baseline hearing aid (i.e., NALR amplification followed by a simple automatic gain compressor) the average HASPI score increases to 0.2493. These results are summarised in the table below. Your task is to improve on the 0.2493 baseline HASPI score. System\tHASPIUnprocessed\t0.1615 NAL-R baseline\t0.2493 "},{"title":"References​","type":1,"pageTitle":"Baseline System","url":"docs/cec2/software/cec2_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (haspi) version 2. Speech Communication, 131, pp.35-46. "},{"title":"CEC1 Data","type":0,"sectionRef":"#","url":"docs/cec1/data/cec1_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#a-training-development-evaluation-data","content":" The dataset is split into these three subsets: training (train), development (dev) and evaluation (eval). You should only train on the training set.The system submitted should be chosen on the evidence provided by the development set.The final listening and ranking will be performed with the (held-out) evaluation set.For more information on supplementing the training data, please see the rules. The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b-the-scene-dataset","content":" The complete dataset is composed of 10,000 scenes split into the following sets: Training (6000 scenes, 24 speakers);Development (2500 scenes, 10 speakers);Evaluation (1500 scenes, 6 speakers). Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training, development and evaluation sets are disjoint for target speaker. The three sets are balanced for target speaker gender. Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used. The BRIRs are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files are specification files for the geometric room acoustic model that include a complete description of the room. "},{"title":"B.1 Training data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).HRIRs including those corresponding to the target azimuth.The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate BRIR;The interferer convolved with the appropriate BRIR;The sum of the target and interferer convolved. The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files. Software for generating more training data is also available. "},{"title":"B.2 Development data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b2-development-data","content":" The same data as for the training will be made available to allow you to fully examine the performance of your system. Note, that the data available for the evaluation will be much more limited (see B.3). For each scene, during development, your hearing aid enhancement model must only use the following input signals/data: The sum of the target and interferer – mixed at the SNR specified in the scene metadata – at one or more hearing aid microphones (CH1, CH2 and/or CH3).The IDs of the listeners assigned to the scene in the metadata provided.The audiograms of these listeners. "},{"title":"B.3 Evaluation scene data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#b3-evaluation-scene-data","content":" For each scene in the evaluation data only the following will be available: The sum of the target and interferer for each hearing aid microphone.The ID of the evaluation panel members/listeners who will be listening to the processed scene.The audiograms of these listeners. "},{"title":"C Listener data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c-listener-data","content":" "},{"title":"C.1 Training and development data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c1-training-and-development-data","content":" A sample of pure tone air-conduction audiograms that characterise the hearing impairment of potential listeners, split into training and development sets. "},{"title":"C.2 Evaluation data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#c2-evaluation-data","content":" You will be given the left and right pure tone air-conduction audiograms for the listening panel, so the signals you generate for evaluation can be individualised to the listeners. A panel of 50 hearing-aided listeners will be recruited for the evaluation panel. We plan that they will be experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations in Filenames​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d1-abbreviations-in-filenames","content":" R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d2-general","content":" Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left and right signals of the ear or hearing aid microphones.HRIRs have a sampling rate of 48 kHz.Metadata will be stored in JSON format wherever possible.Room descriptions are stored as RAVEN project ‘rpf’ configuration files.Signals are saved within the Python code as 32-bit floating point by default. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was supposed to be spoken as presented to the readers.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d4-source-audio-files","content":" Wav files containing the original source materials.Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav <Scene ID>_interferer_<Channel ID>.wav <Scene ID>_mixed_<Channel ID>.wav <Scene ID>_target_anechoic.wav Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d6-enhanced-signals","content":" The signals that are output by the enhancement (hearing aid) model. <Scene ID>_<Listener ID>_HA-output.wav #HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel. "},{"title":"D.7 Enhanced signals processed by the hearing loss model​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d7-enhanced-signals-processed-by-the-hearing-loss-model","content":" The signals that are produced by the hearing loss (HL) model. <Scene ID>_<Listener ID>_HL-output.wav HL output signal<Scene ID>_<Listener ID>_HL-mixoutput.wav HL-processed CH0 signal, bypassing HA processing, for comparison<Scene ID>_<Listener ID>_flat0dB_HL-output HL-output for flat 0 dB audiogram processed signal for comparison<Scene ID>_<Listener ID>_HLddf-output unit impulse signal output by HL model for time-alignment of signals before processing by the baseline speech intelligibility model "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d8-scene-metadata","content":" JSON file containing a description of the scene and assigns the scene to a specific member of the listening panel. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight. scenes.json [ { "scene": "S00001", "room": { "name": "R00001", "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres }, "SNR": 3.8356, "hrirfilename": "VP_N5-ED", // HRIR filename "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "Positions": [ -0.5, 3.4, 1.2 ], "ViewVectors": [ 0.291, -0.957, 0 ], "name": "T022_HCS_00002", // target speaker code and BNCid "nsamples": 153468, // length of target speech in samples }, "listener": { "Positions": [ 0.2, 1.1, 1.2 ], "ViewVectors": [ -0.414, 0.91, 0 ] }, "interferer": { "Positions": [ 0.4, 3.2, 1.2 ], "name": "CIN_dishwasher_012", // interferer name "nsamples": 1190700, // interferer length in samples "duration": 27, // interferer duration in seconds "type": "noise", // interferer type: noise or speech "offset": 182115, // interferer segment starts at n samples from beginning of recording }, "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver "dataset": "train", // dataset: train, dev or eval/test "pre_samples": 88200, // number of samples of interferer before target onset "post_samples": 44100 // number of samples of interferer after target offset }, { // etc. } ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room.A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files.The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file.Non-speech interferers are labelled CIN_<noise type>_XXX, while speech interferers are labelled <three letter code including dialect and talker gender>_XXXXX . "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d9-listener-metadata","content":" Listener data stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ 10, 15, 25, 40, 50, 65, 65, 70 ], }, "L0002": { // ... etc }, // ... etc } "},{"title":"D.10 Scene-Listener map​","type":1,"pageTitle":"CEC1 Data","url":"docs/cec1/data/cec1_data#d10-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003". "L0005", "L0007"], // etc } "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_core_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#a-scene-generator","content":" Fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, HOA-IRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid consists of a NAL-R fitting amplification stage [1] followed by a simple automatic gain compressor. It produces output signals in 16-bit wav format ready for HASPI or listening test evaluation. Inputs: Inputs for each hearing aid channel and audiograms to characterise the listeners.Outputs: Stereo hearing aid (HA) outputs signals. "},{"title":"C. HASPI Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#c-haspi-speech-intelligibility-model","content":" Python implementation of the Hearing Aid Speech Perception Index (HASPI) model which is used for objective intelligibility estimation. This will be used in the stage 1 evaluation of entrants (see Rules). Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/cec2/software/cec2_core_software#references","content":" [1] Byrne, Denis, and Harvey Dillon. "The National Acoustic Laboratories'(NAL) new procedure for selecting the gain and frequency response of a hearing aid." Ear and hearing 7.4 (1986): 257-265. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cec1/software/cec1_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#a-scene-generator","content":" Fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, BRIRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid processor is based on openMHA. The python code configures openMHA with a Camfit compressive fitting for a specific listener’s audiogram. This includes a python implementation of the Camfit compressive prescription and python code for driving openMHA. This configuration of openMHA includes multiband dynamic compression and non-adaptive differential processing. The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly. The main inputs and outputs for the processor are as follows: Inputs: Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in ‘scenes_listeners.json’ and an entry in the listener metadata json file ‘listeners.json’ for that IDOutputs: The stereo hearing aid output signal, <scene>_<listener>_HA-output.wav "},{"title":"C. Hearing Loss model​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#c-hearing-loss-model","content":" Open-source python implementation of the Cambridge Auditory Group Moore/Stone/Baer/Glasberg hearing loss model. Inputs: A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears).Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"D. Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cec1/software/cec1_software#d-speech-intelligibility-model","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI). This is an experimental baseline tool that will be used in the stage 1 evaluation of entrants (see Rules). Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), (scene metadata)Outputs: predicted intelligibility score "},{"title":"CEC2 Registration","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_registration","content":"CEC2 Registration Teams are required to register using the form below. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials. Loading… Registration closes on August 28th, but earlier registration will help us to plan for the listening tests.","keywords":""},{"title":"Find collaborators","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_find_a_team","content":"Find collaborators If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators. We encourage everyone to join the Clarity Challenge’s Google group to stay updated with project news and announcements. We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group). You are welcome to contact us if you have any questions about forming a team or participating in the challenge: Email the Clarity Team","keywords":""},{"title":"CEC2 Prizes","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"CEC2 Prizes","url":"docs/cec2/taking_part/cec2_prizes#the-team-prize","content":" Team prizes have been made available by the generosity of the Hearing Industry Research ConsortiumThere will be separate HASPI and listening test prizes for the top systems. HASPI prize 1st Place $1000 2nd Place $500 3rd Place $250 Listening Test prize 1st Place $1000 2nd Place $500 3rd Place $250 info Anonymous entries and those with direct links to the Clarity project team are ineligible for cash prizes, sorry. "},{"title":"CEC2 Submission","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_submission","content":"","keywords":""},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of 1500 scenes. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of the audiograms and DTT results for a set of listeners anda mapping of which listeners will listen to which scenes. There will also be some clean audio examples for the target talker, that are not the same as the target utterance. For the stage 1 HASPI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. For the stage 2 listening test evaluation, there will be five listeners per scene and each team will have a separate scene-listener mapping. The file formats will be the same as used for the development data; for details see the CEC2 Data page. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#what-audio-do-i-need-to-submit","content":" You must submit the audio signals produced at the output of your simulated hearing aid for the evaluation datasets. You will be asked to provide two sets of signals: the first for the HASPI evaluation and the second for the listening tests (see submission dates above). Signals should be submitted as 16-bit WAV files with a 32 kHz sampling rate, and 0 dB FS corresponds to 100 dB SPL, given the capabilities of the listening test reproduction equipment. The format of signals submitted for HASPI evaluation and for the listening tests is the same. We also encourage you to submit your simulated hearing aid code. See the page on listening tests for more information about the levels that can be reproduced by the listening test equipment. When playing signals to listeners we will then play them as is. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_HA-output.wav and explained on the CEC2 data page. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., E001 and then packaged using zip or tar or any standard packaging tool. The resulting file should be about 2 GB for the first round. "},{"title":"Technical report​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-2022 Workshop. Deadline - see date above. An author kit and submission instructions will be made available.A draft of the report needs to be uploaded to the Google Drive along with your HASPI signals - see above for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules.Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"CEC2 Submission","url":"docs/cec2/taking_part/cec2_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. You will be able to use the same link to upload materials for both the 1st submission and the 2nd submission if you are selected for the 2nd round. We also encourage you to submit your simulated hearing aid code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"The 3nd Clarity Enhancement Challenge","type":0,"sectionRef":"#","url":"docs/cec3/cec3_intro","content":"","keywords":""},{"title":"Overview of challenge​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#overview-of-challenge","content":" The challenge provides participants with hearing aid input signals representing scenes containing a target speaker. Participants are asked to process the signals to provide hearing aid output signals that will be intelligible to hearing-impaired listeners. The challenge is evaluated using standard objective speech intelligibility metrics but also with listening tests with hearing-impaired listeners. The challenge will be organised into two Tracks which extend the previous 2nd Clarity Enhancement Challenge in complementary directions. Further details of the tracks are presented below. "},{"title":"Track 1: Real hearing aid signals​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#track-1-real-hearing-aid-signals","content":" In the previous CEC1 and CEC2 challenges, hearing aid input signals were simulated using pre-recorded audio sources mixed with simulated room impulse responses and hearing aid head-related transfer functions. In this track, we provide participants with scenes that use the same domestic living room scenario, but which are closer to real hearing aid signals. There will be two types of data: First, the same as CEC2 but now using measured impulse responses from a real room.Second, using acoustic scenes that have been recorded over real hearing-aid shells worn by a listener who is actively engaged in the scene. For the second case, the recordings will be subject to natural head movements and accurate head movement data will be provided for training purposes. "},{"title":"Track 2: Real dynamic background noises​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#track-2-real-dynamic-background-noises","content":" In all previous Clarity challenges, the interfering signals have been static and carefully controlled. In this track, we will use naturally occurring, dynamic noise backgrounds. We are collecting a dataset of 64-channel ambisonic audio recordings from settings that hearing-impaired listeners find challenging. These include train stations, roadsides and large social gatherings (i.e., the 'cocktail party' scenario). Using these recordings and measured impulse responses, we will create a dataset of hearing aid input signals feature target sentences in dynamic background noise. For both tracks, we will be providing standard training, development and evaluation datasets. The training and development datasets will be released at the start of the challenge. The evaluation dataset will be released shortly before the submission deadline without reference signals. Participants will then be asked to submit their processed signals for remote evaluation. Further details of the challenge tracks will be presented on this site in the run-up to the official launch of the challenge on 30th March. To stay up to date please sign up for the Clarity Challenge’s Google group. "},{"title":"Important Dates​","type":1,"pageTitle":"The 3nd Clarity Enhancement Challenge","url":"docs/cec3/cec3_intro#important-dates","content":" Key dates are as follows 2nd April 2024: Challenge launch with dataset and baseline software 25th July 2024: Evaluation data released 2nd Sept 2024: First round submission deadline for evaluation by objective measure 16th Sept 2024: Second round submission deadline for listening tests Sept-Nov 2024: Listening test evaluation period. Dec 2024: Results announced at a Clarity Challenge Workshop; prizes awarded. The workshop is likely to be a one-day virtual event. Date to be decided. "},{"title":"Additional Tools","type":0,"sectionRef":"#","url":"docs/cec2/software/cec2_additional_tools","content":"","keywords":""},{"title":"Hearing loss model​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#hearing-loss-model","content":" This is an open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge [1, 2]. Inputs: A stereo wav audio signal, e.g., the output of the hearing aid model and audiograms for left and right ear.Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"Differentiable source separation and hearing aid amplification modules​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#differentiable-source-separation-and-hearing-aid-amplification-modules","content":" The modules are from the Sheffield E009 system in CEC1. The source separation module is a multi-channel Conv-TasNet optimised with a SNR objective. The hearing aid amplification module is an FIR filter optimised with an objective, which is the combination of a differentiable approximation to the hearing loss model and a STOI loss. Inputs: six channels of mixed signals, i.e., mixed_CH1.wav, mixed_CH2.wav, and mixed_CH3.wavOutputs: a single channel enhanced signal, therefore two source separation and amplification modules for left and right ears need to be optimised for the enhanced binaural signal. "},{"title":"Speech intelligibility model (MBSTOI)​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#speech-intelligibility-model-mbstoi","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI) [3]. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections 'turned off', specified as 'target_anechoic'), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Additional Tools","url":"docs/cec2/software/cec2_additional_tools#references","content":" Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cec1/data/cec1_scenario","content":"","keywords":""},{"title":"Simulating the audio signals received by the hearing aid​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#simulating-the-audio-signals-received-by-the-hearing-aid","content":" A listener – or receiver – is sitting or standing in a small room that has low to moderate reverberation. The person is listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity utterances. Simultaneously, an interferer sound is playing; this is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). An example scenario is shown in Figure 1. The room geometry showing origin location is defined in Figure 2. Example SceneRoom Geometry Figure 1. Example overview. Figure 3, below, shows the basic scene generator. The sound at the receiver is generated first by convolving the source signals with Binaural Room Impulse Responses (BRIRs). The reverberated speech and noise signals are then summed after appropriate gains are applied. The gains are set to achieve a Signal-to-Noise Ratio (SNR), which is chosen pseudo-randomly between limits. The BRIRs are generated using the RAVEN Geometric Room Acoustic Model [1]. There are additional signal paths and outputs generated that have been omitted from Figure 3 for clarity. In addition to the reverberated signals associated with the hearing aid microphones, the signal close to the eardrum is also generated. You can also access the reverberated speech and noise signals before they are mixed. Figure 3. Simplified diagram of the scene generator. RIR refers to Room Impulse Response, HRTFs refers to Head Related Transfer Functions, SNRs are signal-to-noise ratios, and gain calc. indicates gain calculation. Dry here means anechoic. The outputs are noisy speech signals. "},{"title":"Room Geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#room-geometry","content":" Cuboid rooms with dimensions length, LLL, by width, WWW, by height, HHH.Length LLL set using a uniform probability distribution random number generator with 3≤L(m)≤83 \\le L (m) \\le 83≤L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7m2.7 m2.7m and standard deviation of 0.8m0.8 m0.8m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7m217.7 m^217.7m2 and standard deviation of 5.5m25.5 m^25.5m2. "},{"title":"Room Materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least at 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The receiver​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2m1.2 m1.2m (sitting) or 1.6m1.6 m1.6m (standing). The receiver is positioned so as to be roughly facing the target talker. That is to say, within ±30\\pm 30±30 degrees of target. The angle = 7.5n7.5n7.5n where nnn is an integer and ∣n∣≤4|n| \\le 4∣n∣≤4. "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. "},{"title":"The interferer​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#the-interferer","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) The interferer is a single point source radiating speech or non-speech noise omnidirectionally. It is placed within the room using uniform probability distribution random number generators for the coordinates. These constraints ensure the interferer is not too close to the wall or receiver. It is set to be at the same height as the receiver. Note, this means that the interferer can be at any angle relative to the receiver. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ "},{"title":"Timing​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#timing","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"Signal-to-Noise Ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#signal-to-noise-ratio-snr","content":" The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. Note that the interferer can be at any azimuth from the point of view of the listener/receiver. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen using a uniform probability distribution random number generator between the limits of ranges specified for the speech and non-speech interferers. The better ear SNR, here termed BE_SNR, which models the better ear effect in binaural listening, is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the interferer that overlaps with the target (without padding) , i‘, and the target (without padding), t‘, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i‘ and t’ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The whole interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050];Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001]; Figure 4, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec1/data/cec1_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_dates","content":"Important Dates 16th November 2021: Launch of challenge, release of data.23rd November 2021: Webinar to introduce the challenge 15:00-17:00 UK time.1st March 2022: Release of evaluation data.21st March 2022: Submission deadline. All entrants submit their predictions plus a draft of their technical report. Scores will be returned with 24 hours of submission.28th March 2022: Deadline for Interspeech paper submission.25th April 2022: Deadline by which all entrants must submit two page technical reports to Clarity Prediction Challenge 2022 workshop.29th June 2022: Clarity Prediction Challenge 2022 workshop.Sept 18-22, 2022: Interspeech 2022 Special Session.","keywords":""},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_scenario","content":"","keywords":""},{"title":"Brief overview of random scenario generation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#brief-overview-of-random-scenario-generation","content":" The scenarios are for: Small rooms that have low to moderate reverberation with randomized dimensions and locations of materials such as carpets.The locations of the listener, target and interferer are randomized.The target talker is selected from our set of 40 speakers.The target talker produces a randomly chosen 7-10 word utterance.There are two or three interferer sounds running throughout the audio. This can be a: stream of competing speech;continuous domestic noise source (e.g., a washing machine); ormusic source. The target speech source will onset about one second into the scene.The listener starts not looking at the target talker, but around the time the target speech starts, the listener rotates their head to approximately face towards the target. An example scenario is shown in Figure 1. It also defines the coordinate system and origin for the room generation. Figure 1, An example scenario with two noise interferers. "},{"title":"Room geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#room-geometry","content":" Cuboid rooms with dimensions length LLL by width WWW by height HHH.Length LLL set using a uniform probability distribution random number generator with 3<L(m)≤83 < L(m) \\le 83<L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7 m and standard deviation of 0.8 m.Area L×WL×WL×W set using a Gaussian distribution random number generator with mean 17.7 m2^22 and standard deviation of 5.5 m2^22 "},{"title":"Room materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The listener (receiver)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-listener-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2 m (sitting) or 1.6 m (standing). "},{"title":"Head rotation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#head-rotation","content":" The listener is initially oriented away from the target and will turn to be roughly facing the target talker around the time when the target speech starts Orientation of listener at start of the sample ~25° from facing the target (standard deviation = 5°), limited to +-2 standard deviations.Start of rotation is between -0.635 s to 0.865s (rectangular probability)The rotation lasts for 200 ms (standard deviation =10 ms)Orientation after rotation is 0-10° (random with rectangular probability distribution). "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. The target speech starts between 1.0 and 1.5 seconds into the mixed sound files (rectangular probability distribution). "},{"title":"The interferers​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#the-interferers","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) Each interferer is modelled as an omnidirectional point source. They will be radiating: speech, noise or music. They are placed within the room using uniform probability distribution random number generators for the coordinates. The following constraints ensure the interferer is not too close to the wall or listener. However, interferers are independently positioned with no constraint on their position relative to each other. They are set to be at the same height as the listener. Note, this means that the interferers can be at any angle relative to the listener. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ The interferers are present over the whole mixed sound file. "},{"title":"Signal-to-noise ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#signal-to-noise-ratio-snr","content":" The SNR of the mixtures are engineered to achieve a suitable range of speech intelligibility values. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the summed interferers that overlaps with the target (without padding), i′i'i′, and the target (without padding), t′t't′, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i′i'i′ and t′t't′ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The summed interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The frequency response is shown in Figure 2. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050]Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001] Figure 2, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cec2/data/cec2_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"Download","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_download","content":"Download The following challenge data are available for download: The challenge training data is available for download as a single 13 GB file, clarity_CPC1_data.v1_1.tgzThe evaluation data in now available (1st March) for download as a single 6 GB file, clarity_CPC1_data.test.v1.tgz. The evaluation data should be untarred into the same root as the training data. The Github repository containing the baseline code is here. The repository contains code for CPC1 and also for the earlier enhancement challenge CEC1. You will find all the necessary instructions for installing the data and setting up the baseline system: i.e. running the MSBG hearing loss model and MBSTOI intelligibility prediction stage. We will be making a further small release in early December to specify the final evaluation metrics that we will be using to rank entries. info The Challenge is now closed but the data is still available for anyone to use. If using the data please cite the following paper Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022.","keywords":""},{"title":"Listening Tests","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_listening_tests","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#overview","content":" The listeners will be provided with a USB stereo headset to complete the listening experiment. The experiment will be run by our “Listen@Home” web software running on either the participant’s own computer or a tablet we supply. The software plays each sentence once, then the participant speaks aloud what they think was said by the target talker. Their response is recorded by the headset’s microphone for offline scoring. We ask that the participant uses a quiet room for the experiment. Intelligibility will be evaluated as the number of words identified correctly in the sentence. Our plan is that each listener will undertake a few hours of listening and evaluate sentences from every entrant. We will use a combinatorial design to equate this as far as possible. Should a listener drop out from the panel, we will endeavour to replace them with someone with a similar hearing loss, but should that prove impractical we will reduce the size of the panel, and inform entrants which listener has withdrawn. "},{"title":"Listen@Home hardware​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#listenhome-hardware","content":" We will be using Sennheiser PC-8 headsets to play the sounds to our participants. We will allow participants to set the volume so that the sounds are not so loud to be uncomfortable. Without loudness-recruitment measures for our listeners, we cannot be sure just what loudnesses every participant will hear, so we need to allow them to make the choice here. We have measurements of the output capability of a system in the laboratory: A 1 kHz pure tone set to be the most powerful it can be (i.e., an amplitude range of +/-1 = RMS amplitude of 0.707, and the volume controls at 100%) gave 99 dB(A) SPL on the PC-8 headphones.An ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3, gave 90 dB(A) at the same volume level. With this RMS, the noise had 0.1% of its samples clipped at +/- 1. Due to the above capabilities of the reproduction equipment, in the submitted signals, 0 dB FS should correspond to 100 dB SPL. We will also require the signals to be provided as 16-bit WAV files with a 32 kHz sampling rate. We will play the signals as is using an HTML/PHP audio player coded on a webpage. The responsibility for the final signal level is therefore yours. It’s worth bearing in mind that should your signals overall seem too loud to be comfortable to a participant, they may well turn down the volume themselves. "},{"title":"References​","type":1,"pageTitle":"Listening Tests","url":"docs/cec2/taking_part/cec2_listening_tests#references","content":" ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"CEC2 FAQ","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"CEC2 FAQ","url":"docs/cec2/taking_part/cec2_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/cpc1/software/cpc1_baseline","content":"Baseline System Figure 1 is a simplified schematic of the baseline system, where not all signal paths are shown. A scene generator (blue box) creates the speech in noise (SPIN) that the hearing aid model then enhances (yellow box). This enhancement is individualised for each listener; hence, there is also a system to select a random listener (white ellipse) with a particular set of characteristics (e.g., audiograms). The SPIN that has been improved by the hearing aid is then passed to the prediction stage (orange box). This comprises two models: a hearing loss model, anda binaural speech intelligibility model. This prediction stage (orange box) is what we want you to improve on in this challenge. Figure 1 Simplified overview of the baseline. You are free to choose which parts of the baseline you use and reconfigure the system as you see fit. You can use our hearing loss model as part of your entry, or produce a single model that combines the hearing loss and speech intelligibility models. For an introduction to elements of the prediction model, please see our FAQ, which includes an overview of Speech intelligibility, andHearing loss and what hearing aids do. For the prediction challenge, most examples of the improved SPIN shown in the centre of the diagram come from hearing aid models created by the entrants to the first Enhancement Challenge. Therefore, most audio signals in the prediction challenge data were not processed by the baseline hearing aid model. More details of the different parts of the baseline appear on the software page. See the following sections: Scene GeneratorHearing aid modelHearing loss modelSpeech intelligibility model Download baseline software and data.","keywords":""},{"title":"The 1st Clarity Prediction Challenge","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_intro","content":"","keywords":""},{"title":"Key dates (updated 14/01/22)​","type":1,"pageTitle":"The 1st Clarity Prediction Challenge","url":"docs/cpc1/cpc1_intro#key-dates-updated-140122","content":" 16th November 2021: Launch of challenge, release of data.23rd November 2021: Webinar to introduce the challenge 15:00-17:00 UK time.1st March 2022: Release of evaluation data.21st March 2022: Submission deadline. All entrants submit their predictions plus a draft of their technical report (details below). Scores will be returned with 24 hours of submission.28th March 2022: Deadline for Interspeech paper submission.25th April 2022: Deadline by which all entrants must submit two page technical reports to Clarity Prediction Challenge 2022 workshop.29th June 2022: Clarity Prediction Challenge 2022 workshop.Sept 18-22, 2022: Interspeech 2022 Special Session. "},{"title":"More details​","type":1,"pageTitle":"The 1st Clarity Prediction Challenge","url":"docs/cpc1/cpc1_intro#more-details","content":" Scenario - a description of the listening scenario and how it has been simulated. Baseline System - a description of the baseline software model. Data - the data that can be used to train and evaluate your system during development. Software - the software tools that we are providing to help you build and evaluate a challenge entry. Challenge Rules - the rules to which all challenge entries must adhere. Submission - information about how to prepare your submission. Prizes - information about our prizes. Download - where to go to download the software and challenge data. Find a team - if you'd like to find collaborators to help you compete. FAQ - an extensive FAQ answering key questions and providing background knowledge to help you compete. "},{"title":"CEC2 Data","type":0,"sectionRef":"#","url":"docs/cec2/data/cec2_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#a-training-development-evaluation-data","content":" The dataset of 10,000 scenes is split into three: Training (train).Development (dev).Evaluation (eval). Uses of the data: You should not use the development or evaluation data set for training.The system submitted should be chosen on the evidence provided by the development set.The final listening and ranking will be performed with the (held-out) evaluation set.For more information on augmenting and supplementing the training data, please see the rules.The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b-the-scene-dataset","content":" The complete dataset is composed split into the following sets: Training (6000 scenes, 24 speakers);Development (2500 scenes, 10 speakers);Evaluation (1500 scenes, 6 speakers). Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers. The training, development and evaluation sets are disjoint with respect to the target speakers. The three sets are balanced for the gender of the target talker. High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on scene generation for more details. Time-domain acoustic signals are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files and ac files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials. "},{"title":"B.1 Training data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears).The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate HOA-IRs and downmixed;The interferers convolved with the appropriate HOA-IRs and downmixed;The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid) The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (‘target_anechoic’). For use as a reference when computing HASPI scores.Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.A signal describing the head rotation (i.e. azimuthal angle at each sample) "},{"title":"B.2 Development data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b2-development-data","content":" This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set) Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended. Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section B.3). When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below). "},{"title":"B.3 Evaluation data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#b3-evaluation-data","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)Speaker adaptation sentence - 4 clean utterances for each target speaker. One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities: The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture.The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics. These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking. "},{"title":"C Listener data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them. The same types of data are available for training, development and evaluation. A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English. The quantification of the listeners’ hearing is done with: Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound.Results from the DTT (digit-triplet test, also known as a triple digit test)​ The audiogram is the standard clinical measurement of hearing ability. It’s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., British Society of Audiology Recommended Procedure. Typically it’s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. CAMFIT, NAL-NL2 or DSL . Note that the scale of an audiogram is in “dB HL” = “dB Hearing Level”. This is not dB SPL; instead, it’s relative to an international standard such that 0-dB is “normal hearing” at every frequency. For background see Why the Audiogram Is Upside-down | The Hearing Review and The Quest for Audiometric Zero | The Hearing Review The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al.'s high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations used in filenames​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d1-abbreviations-used-in-filenames","content":" The following abbreviations are used consistently throughout the filenames and references in the metadata. R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d2-general","content":" Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones.0 dB FS in the audio signals corresponds to 100 dB SPL.Metadata will be stored in JSON or csv format as appropriate with the exception of Room descriptions are stored as RAVEN project ‘rpf’ configuration files and ‘ac’ files. (However, key details are reflected in the scene.json files) Signals are saved within the Python code as 32-bit floating point by default.Output signals for the listening tests will be required to be in 16-bit format. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was given to the talkers to say.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d4-source-audio-files","content":" Wav files containing the original source materials. Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav<Scene ID>_interferer_<Channel ID>.wav<Scene ID>_mixed_<Channel ID>.wav<Scene ID>_target_anechoic.wav - at hearing device front microphone<Scene ID>_hr.wav - head rotation signal Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone The anechoic signal is the signal that will be used as the referernce in the HASPI evaluation. The head rotation signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured. "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d6-enhanced-signals","content":" The signals that are output by the baseline enhancement (hearing aid) model. <Scene ID>_<Listener ID>_HA-output.wav #HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. We are no longer providing the script for post-processing signals in preparation for the listener panel. "},{"title":"D.7 Room metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d7-room-metadata","content":" JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene. rooms.json [ { "name": "R00001", // ID of room linking to RAVEN rpf and ac files "dimensions": "6.9933x3x3", // Room dimensions in metres "target": { // # target positions (x,y,z) and view vectors (look directions, x,y,z) "position": [-0.3, 2.4, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "listener": { "position": [-0.1, 5.2, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "interferers": [ { "position": [0.4, 4.0, 1.2], }, { // # etc, up to three interferers } ], }, ... ] "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d8-scene-metadata","content":" JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section D.7) plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings. scenes.json [ { "scene": "S00001", // the unique scene ID "room":: "R00001", // ID of room linking to rooms.json "target": { "name": "T005_JYD_04274", // target speaker code and BNCid "time_start": 107210, // start time of target in samples "time_end": 217019 // end time of target in samples }, "listener": { "rotation": [ // Defines the head motion - list of time, direction pairs { "sample": 88200, "angle": 30 // Azimuth angle in degrees }, { "sample": 176400, "angle”: 50 } ], "hrir_filename": ["VP_N4-ED", "VP_N4-BTE_fr", "VP_N4-BTE_mid", "VP_N4-BTE_rear"] // HRIR filename for each channel to generate }, "interferers": [ { "position": 1, // Index of interferer position (See rooms.json) "time_start": 0, // time of interferer onset in samples "time_end": 261119, // time of interferer offset in samples "name": "track_1353255", // interferer name "type": "music", // interferer type: speech, noise or music "offset": 4076256 // index into interferer file at which to extract sample }, { // etc, up to three interferers } ], "dataset": "train", // the dataset to which the scene belongs: train, dev or eval "duration": 261119, // total duration of scene in samples "SNR": 6.89 // targe SNR for the scene }, ... ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room. The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section D.9). Noise interferers are labelled with a type “music”, “noise” or “speech” and then have a unique name identifying the file. For speech: <ACCENT_CODE>_<SPEAKER_ID> where ACCENT_CODE is a three letter code identify the accent region and gender of the speaker and SPEAKER_ID is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK midlands accented female, speaker 02484. The speech comes from Demirshan et al. [1] which provides more details.For noise: CIN_<NOISE_TYPE>_<NOISE_ID> where NOISE_TYPE is one of dishwasher, fan, hairdryer, kettle, microwave, vacuum (vacuum cleaner) or washing (washing machine) and NOISE_ID is a unique 3-digit code for the sample.For music: track_<TRACK_ID> where TRACK_ID is unique 7-digit track identifier taken from the MTG Jamendo database. [2] Given the type and name, further interferer metadata can be found in the files masker_speech_list.json, masker_noise_list.json and masker_music_list.json which are distributed with the challenge. "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d9-listener-metadata","content":" Audiogram data is stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ … ], }, "L0002": { ... }, ... } Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS "},{"title":"D.10 Scene-Listener map​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#d10-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003", "L0005", "L0007"], ... } "},{"title":"References​","type":1,"pageTitle":"CEC2 Data","url":"docs/cec2/data/cec2_data#references","content":" Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, Avialable OnlineBogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", Available Online "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/cpc1/software/cpc1_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#a-scene-generator","content":" The scene generator is fully open-source python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, BRIRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Baseline hearing aid processor​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#b-baseline-hearing-aid-processor","content":" The baseline hearing aid processor is based on openMHA [1] but with a Python wrapper. The python code configures openMHA with a Camfit compressive fitting [2] for a specific listener’s audiogram. This configuration of openMHA includes multiband dynamic compression, non-adaptive differential processing and a softclip plugin. The intention was to produce a basic hearing aid without various aspects of signal processing that are common in high-end hearing aids, but tend to be implemented in proprietary forms so cannot be replicated exactly. The main inputs and outputs for the processor are as follows: Inputs: Mixed scene signals for each hearing aid channel, a listener ID drawn from scene-listener pairs identified in ‘scenes_listeners.json’ and an entry in the listener metadata json file ‘listeners.json’ for that IDOutputs: The stereo hearing aid output signal, <scene>_<listener>_HA-output.wav "},{"title":"C. Hearing Loss model​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#c-hearing-loss-model","content":" Open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge (e.g., [3]). Inputs: A stereo wav audio signal, e.g., the output of the baseline hearing aid processor, and a set of audiograms (both L and R ears).Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"D. Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#d-speech-intelligibility-model","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI; [4]). This is an experimental baseline tool that is level-independent. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/cpc1/software/cpc1_software#references","content":" Kayser, H., Herzke, T., Maanen, P., Pavlovic, C. and Hohmann, V., 2019. Open Master Hearing Aid (openMHA): An integrated platform for hearing aid research. Journal of the Acoustical Society of America, 146(4), pp. 2879-2879.Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"Registration","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_registration","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Registration","url":"docs/cpc1/taking_part/cpc1_registration#registration","content":" Please use this Google form to register. Please submit one form per team, i.e., providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. Please register early to help us organise the challenge. "},{"title":"Google group​","type":1,"pageTitle":"Registration","url":"docs/cpc1/taking_part/cpc1_registration#google-group","content":" If you haven't done so already, please sign up to Clarity's Google group to keep up to date with the challenges. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cpc1/cpc1_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cpc1/cpc1_results#prizes","content":" The Hearing Industry Research Consortium prizes for best system were awarded as follows: 1st place: System E33, Zezario et al, MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids for best performance for a non-intrusive system, 2nd place: System E30, Huckvale et al, ELO-SPHERES Intelligibility Prediction Model for the Clarity Prediction Challenge 2022 for best performance of an intrusive system, 3rd place: System E019, Röttges et al., Speech Intelligibility Prediction for Hearing-Impaired Listeners with the bBSIM-STI Model for best performance in the open-set track The Hearing Industry Research Consortium prizes for best student contribution were awarded as follows: 1st place: Ryandhimas Zezario from the National Taiwan University, 2nd place: Franklin Yohan Alvarez Cardinale from Medizinische Hochschule Hannover, Germany 3rd place: Jana Rossbach from Carl von Ossietzky University, Oldenburg, Germany. Congratulations to the winners! (Note, systems E29 and E32 had links to the organizers and so were not eligible for prizes). "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cpc1/taking_part/cpc1_prizes#the-team-prize","content":" There will be separate prizes for the top contributions by students and non-students.There will be a separate prize for the best performing non-intrusive model.Students eligible for the prize are expected to have made a significant contribution and be first author on the workshop paper.Team prizes have been made available by the generosity of the Hearing Industry Research Consortium. General prize 1st Place $1000 2nd Place $500 3rd Place $250 Student prize 1st Place $1000 2nd Place $500 3rd Place $250 info The 1st Clarity Prediction Challenge has now finished. For the details of the systems submitted, results and prize winners, please visit the Clarity-2022 Workshop website. "},{"title":"Contact Us","type":0,"sectionRef":"#","url":"docs/contact","content":"","keywords":""},{"title":"Send us an email​","type":1,"pageTitle":"Contact Us","url":"docs/contact#send-us-an-email","content":" You can contact the Clarity Team by email at claritychallengecontact@gmail.com "},{"title":"Join the Google group​","type":1,"pageTitle":"Contact Us","url":"docs/contact#join-the-google-group","content":" If you wish to stay updated with Clarity Challenges please sign up the Clarity Challenge’s Google group "},{"title":"Rules","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#teams","content":" Teams must have registered and nominated a contact person.Teams can be from one or more institutions.Teams can comprise up to 10 persons.The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system(s)/model(s) and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.If a group of people submits multiple entries, they cannot win more than one prize in a given category.All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced. "},{"title":"Intellectual property​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"What information can I use?​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#training-and-development","content":" For Track 1 (closed-set), teams should use the signals and listener responses provided in the CPC1.train.json file.Track 2 (open-set), teams should use the signals and listener responses provided in the smaller CPC1.train_indep.json. In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The FAQ gives links to some models that might be used for this. Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#evaluation","content":" The only data that can be used by the prediction model(s) during evaluation are The output of the hearing aid processor/system.The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata.The prompt for the utterances (the text the actors were given to read) If you use text from the speech prompts as part of evaluating the systems, we will classify that as an intrusive method for the purpose of awarding prizes. "},{"title":"Baseline models and computational restrictions​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#baseline-models-and-computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.There is no limit on computational cost.Models can be non-causal. "},{"title":"What sort of model do I create?​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#what-sort-of-model-do-i-create","content":" You can create either a single prediction model that calculates speech intelligibility given a listener's hearing characteristics (that is, the metadata provided), or you can submit separate models of hearing loss and speech intelligibility.You should report the speech intelligibility for the whole sentence for each audio sample/listener combination. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#submitting-multiple-entries","content":" If you wish to submit multiple entries, All systems/models must be submitted for evaluation.Your systems must have significant differences in their approach.You must register multiple teams, submitting each entry as a different team.In your documentation, you must make it clear how the submissions differ. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"Rules","url":"docs/cpc1/taking_part/cpc1_rules#evaluation-of-systems","content":" Entries will be ranked according to their performance in predicting measured intelligibility scores. "},{"title":"Baseline system","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_baseline","content":"","keywords":""},{"title":"References​","type":1,"pageTitle":"Baseline system","url":"docs/cpc2/cpc2_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (haspi) version 2. Speech Communication, 131, pp.35-46. "},{"title":"Important Dates","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_dates","content":"Important Dates All dates are to be intended anywhere on earth time (AoE). 1st March 2023: Launch of challenge, release of data.1st July 2023: Release of evaluation data and opening of submission window.31st July 2023: Submission deadline. All entrants must have submitted their predictions plus a draft of their technical report. Scores will be returned to entrants within 24 hours of submission. 19th August 2023: Clarity 2023 workshop.19th September 2023: Deadline for submission of finalised Workshop papers Please note that while workshop attendance is not a pre-requisite for participation in the challenge, we strongly encourage all entrants to attend the workshop to present their work.","keywords":""},{"title":"CEC2 Rules","type":0,"sectionRef":"#","url":"docs/cec2/taking_part/cec2_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions.The organisers may enter the challenge themselves but will not be eligible to win prizes. "},{"title":"Transparency​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Anonymous entries are allowed but will not be eligible for prizes.Teams may reserve the right to be referred to using anonymous code names in the published rank ordering. "},{"title":"What information can I use?​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#training-and-development","content":" There is no limit on the amount of training data that can be generated using our tools and training data sets. Teams can also use their own data for training or expand the training data through simple automated modifications. However, teams that do this must make a second submission using only the official audio files and signal generation tool. Any audio or metadata can be used during training and development, but during evaluation, the proposed simulated hearing aid or Enhancement Processor will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferers for each hearing aid microphone).The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results).The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.)The head-rotation signal (but if used, a version of the system that does not use it should also be prepared for comparison.) "},{"title":"Computational restrictions​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#computational-restrictions","content":" Teams may choose to use all, some or none of the parts of the baseline model.Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#submitting-multiple-entries","content":" You can submit two entries, where one is optimised for HASPI and the other for listening tests if you wish. In this case: Both systems must be submitted for HASPI evaluation.You must register two teams, submitting each entry as a different team.In your documentation, you must make it clear which has been optimised for listening tests and the relationship between the two entries.head-rotation: if the head-rotation signal is used then a second entry must be submitted that does not use it and allows the benefit to be measured. We will assume that if only one of these systems is to go forward to listening tests, your preference is to use the one optimised for listening tests. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#evaluation-of-systems","content":" "},{"title":"Stage 1: Objective evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#stage-1-objective-evaluation","content":" Entries will be ranked according to average HASPI score across all signals in the evaluation dataset. We will use the HASPI implementation in the baseline system. "},{"title":"Stage 2: Listening test evaluation​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#stage-2-listening-test-evaluation","content":" There is a limit on how many systems can be evaluated by the listener panel.A maximum of two entries can go through to the listener panel from any individual entrant. Furthermore, a second will only be allowed if it is judged by us to use significantly different signal processing approaches.We will choose which will go to the listener panel based on The top N scored using the objective metric HASPI.A sample of M others that use contrasting and promising approaches. "},{"title":"Intellectual property​","type":1,"pageTitle":"CEC2 Rules","url":"docs/cec2/taking_part/cec2_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive licence to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"Obtaining the data","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_download","content":"Obtaining the data The following challenge data are available for download: The challenge data is available for download as a single 11 GB file, clarity_CPC2_data.v1_1.tgz.The evaluation data is now available for download as a single 478 MB file, clarity_CPC2_data.test.v1_0.tgz. The evaluation data should be untarred into the same root as the training data. The Github repository containing the baseline code is here. The repository contains code for CPC2 and also for the earlier enhancement and prediction challenges, i.e., CEC1, CEC2 and CPC1. You will find all the necessary instructions for installing the data and running the baseline system.","keywords":""},{"title":"The 2nd Clarity Prediction Challenge","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_intro","content":"","keywords":""},{"title":"Short Description​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#short-description","content":" The task involves estimating the intelligibility of speech-in-noise signals that have been processed by hearing aid algorithms and presented to listeners with hearing loss. Each signal contains a short sentence that the listeners were asked to repeat. The system you build needs to be able to predict how many of the words were recognised correctly by the listeners. It is not expected that systems can do this accurately on a per sentence basis, but rather we will rank systems on this basis of how well they perform over a large evaluation set, i.e., which system produces the lowest average estimation error. The hearing aid signals being assessed vary widely in quality. Examples of good, fair and poor signals are provided below. Your prediction algorithm needs to be able to cope with this variation. Good\tFair\tPoor Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. Your browser does not support the audio element. "},{"title":"The data​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#the-data","content":" You will be provided with a set of training data which you can use to develop your systems. This data consists of Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The corresponding clean reference signals (the original speech);Characteristics of the listeners (pure tone audiograms, etc);The measured speech intelligibility scores from listening tests, where the listener was asked to say what they heard after listening to the hearing aid processed signal. For full details of the data see the Data page. "},{"title":"The task​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#the-task","content":" You will be provided with an evaluation set containing Audio produced by a variety of (simulated) hearing aids for speech-in-noise;The audiogram of a listener;The clean reference signal (the original speech). Your task will be to produce a score (0.0 to 1.0), which should predict the proportion of words in the reference signal that the listener would be able to repeat correctly after listening to the hearing aid processed signal. We will be considering two types of system: intrusive and non-intrusive. Intrusive systems (also known as double-ended) are those that require a clean speech reference, and non-intrusive systems (also known as single-ended) are those that use the hearing aid output alone. Intrusive and non-intrusive systems will be separately ranked according to the RMSE between their predictions and the true values. To help you get started we have provided a baseline system that uses the HASPI metric to predict the speech intelligibility score. Details of this system are available on the Baseline page. For full details of the task see the rules page. "},{"title":"Registering and submitting​","type":1,"pageTitle":"The 2nd Clarity Prediction Challenge","url":"docs/cpc2/cpc2_intro#registering-and-submitting","content":" To take part in the challenge you will need to register your team and download the data. Entrants will have until 31st July to complete their submissions. Full instructions for submission are available on the Submission page. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_results","content":"","keywords":""},{"title":"Prizes​","type":1,"pageTitle":"Results","url":"docs/cpc2/cpc2_results#prizes","content":" The Hearing Industry Research Consortium best system prizes were awarded as follows: 1st place: Cuervo and Marxer, Temporal-heirarchical features from noise-robust speech foundation models for non-intrusive intelligibility prediction 2nd place: Mogridge, Close, Sutherland, Goetze and Ragni, Pre-training intermediate ASR features and Human memory simulation for non-intrusive speech intelligibility prediction in the Clarity Prediction Challenge 2 (Note, although 1st and 2nd place systems had very similar RMSE scores, a paired t-test showed that the difference was highly significant). Congratulations to the winners! "},{"title":"FAQ","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"FAQ","url":"docs/cpc1/taking_part/cpc1_faq#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"Data Specification","type":0,"sectionRef":"#","url":"docs/cpc2/cpc2_data","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#overview","content":" The training data essentially consists of signals and corresponding listener responses that you can use to train a prediction model. To maximise the value of the data we have imposed a cross-validation evaluation design: The training data has been split into three partitions, train.1, train.2 and train.3 which are paired with three disjoint evaluation partitions eval.1, eval.2 and eval.3 which will be released. You are asked to train three versions of your final system, i.e., one for each training data subset. This will ensure that we can evaluate your system on unseen listeners and hearing aid systems. Note, some signals and responses come from CEC1 and some from CEC2. CEC1 used simple scenes with a single interferer; CEC2 had multiple interferers. The evaluation data will only use CEC2 scenes. "},{"title":"The hearing aid output signals​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-hearing-aid-output-signals","content":" The hearing aid output signals are stored under clarity_data/HA_output and separated into three separate directories, train.1, train.2 and train.3. Each of these directories contains two subdirectories, CEC1 and CEC2, which contain the hearing aid output signals from the CEC1 and CEC2 datasets respectively. The signals are stored in 16-bit stereo WAV format, with a sampling rate of 32 kHz. The signals are named according to the following convention: <SCENE_ID>_<LISTENER_ID>_<SYSTEM_ID>.wav # e.g., S09463_L0242_E009.wav Where <SCENE_ID> is the scene identifier, <LISTENER_ID> is the listener identifier and <SYSTEM_ID> is the hearing aid system identifier. "},{"title":"The scene reference signals​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-scene-reference-signals","content":" The target reference signals and hearing aid input signals are stored under clarity_data/scenes and separated into two separate directories, CEC1 and CEC2, which contain the target reference signals from the CEC1 and CEC2 datasets respectively. (Note, data for the three training set partitions is stored in the same directory.) There are a set of stereo audio files for each scene, as follows: <SCENE_ID>_target_ref.wav # The target reference signal for the intrusiveness intelligibility prediction task <SCENE_ID>_target_anechoic.wav # The anechoic speech target signal <SCENE_ID>_target_<CHANNEL>.wav # The target speech signal for the scene <SCENE_ID>_interferer_<CHANNEL>.wav # The interfering noise for the scene <SCENE_ID>_mixed_<CHANNEL>.wav # The mixed target and interfering noise. where <SCENE_ID> is the scene identifier and <CHANNEL> can be either CH0, CH1, CH2 or CH3. The channels CH1, CH2 and CH3 are the front, middle and rear hearing aid microphones respectively (each is stereo pair). CH0 is the eardrum signal, i.e., as would be received by the listener's ear canal. Of these signals, the following is the most important: <SCENE_ID>_target_ref.wavThis is the signal that should be used as the reference for your intrusive intelligibility prediction model. Note, this is the only signal that will be available in the evaluation data. It is a non-reverberant version of the target signal aligned with the target component of the mixed signal received by the hearing aid. It has been scaled to have the same energy as the target component of the mixed signal received by the hearing aid. The remaining hearing aid input signals are provided for completeness <SCENE_ID>_mixed_<CHANNEL>.wav The noisy speech signals that were received by the hearing aid, i.e. the signals that were processed to produce the HA output signals.<SCENE_ID>_target_<CHANNEL>.wav The target speech component of the mixed signals that were received by the hearing aid.<SCENE_ID>_interferer_<CHANNEL>.wav The interfering noise component of the mixed signals that were received by the hearing aid.<SCENE_ID>_target_anechoic.wav The anechoic target speech signal (i.e., same as the target reference signal but without the correct scaling). It is not anticipated that you will necessarily need these signals for training prediction models but they have been included to help participants gain a better understanding of the data. "},{"title":"The metadata​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-metadata","content":" The metadata directory (clarity_data/metadata) stores the listener responses to the signals, the listener characteristics and metadata related to each of the scenes (e.g., interferer types, input SNR, etc.). You will find the following JSON format files, CEC1.train.1.json, CEC2.train.1.json CEC1.train.2.json, CEC2.train.2.json CEC1.train.3.json, CEC2.train.3.json listeners.json scenes.CEC1.json, scenes.CEC2.json The contents of these files are as follows. "},{"title":"The listener responses (CECx.train.x.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-listener-responses-cecxtrainxjson","content":" The CEC1.train.x.json and CEC2.train.x.json files contains a list of dictionaries, each describing a listener response to a signal. The fields are as follows: CEC<x>.train.<y>.json [ { "prompt": "i don't want us to apportion blame she said", "scene": "S08547", "n_words": 9, "hits": 4, "listener": "L0239", "system": "E001", "correctness": 44.4444444444, "response": "i don't want to have to report he said", "volume": 56, "signal": "S08547_L0239_E001" }, // ... etc ] In the above, signal identifies the hearing aid output signal that you will find in the the HA_outputs\\train.1\\CEC1 or HA_outputs\\train.1\\CEC2 directorieslistener is the ID of the listener who provided the response. Using this you can look up the listener's audiogram in the listeners.json file.correctness is the percentage of words that the listener correctly identified. This is the number that you are being asked to predict.volume is the value of the volume control on the hearing aid that the listener used to listen to the signal. This is on a scale of 0 to 100 and was set by default to 50 but listeners were free to adjust it at the start of each session to achieve a comfortable listening level. "},{"title":"The listener characteristics (listeners.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-listener-characteristics-listenersjson","content":" The listeners.json provides the pure tone audiogram of the left and right ear of each listener. This is stored as a dictionary with the listener ID as the key to facilitate easy look-up. For each listener the audiogram is stored as a list of frequencies and the corresponding list of levels for the left and right ear. The frequencies are in Hz and the levels are in dB HL. listeners.json { "L0200": { "name": "L0200", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [35, 30, 25, 50, 55, 65, 70, 65], "audiogram_levels_r": [45, 40, 35, 60, 65, 75, 80, 75], }, // ... etc } Note, listener audiograms will also be provided in the evaluation data, however, the listeners in the evaluation sets will not overlap with listeners in the corresponding training sets, i.e., your predictions systems are expected to be able generalise to new listeners. "},{"title":"The scene metadata (scenes.CECx.json)​","type":1,"pageTitle":"Data Specification","url":"docs/cpc2/cpc2_data#the-scene-metadata-scenescecxjson","content":" The scene metadata contains information about the scene, the target and interfering noise signals, and the SNR of the mixed signal, etc. The data will not be available for the evaluation signals and is being provided here for context and to help participants gain an understanding of the signals. For a complete description of the scene metadata please see the documentation for the CEC1 and CEC2 challenges. The scenes.CEC1.json has the format described here, and the scenes.CEC2.json has the format described here. "},{"title":"Submission","type":0,"sectionRef":"#","url":"docs/cpc1/taking_part/cpc1_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#registration","content":" Teams are required to register to help us organise the challenge. Registered teams will be assigned a unique team ID. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems. The evaluation data is available for download here clarity_CPC1_data.test.v1.tgz. See the download page for more details. Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours for of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results. "},{"title":"What do I need to submit?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#what-do-i-need-to-submit","content":" All teams must submit Their predicted intelligibility scoresAn Interspeech paper describing their work (encouraged)A two page technical report (mandatory) "},{"title":"The predicted intellgibility scores​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#the-predicted-intellgibility-scores","content":" You must submit your predicted intelligibility scores for the signals provided. The predictions should be sent in CSV format files with two columns: signal_ID, intelligibility_score Where the signal_ID is the unique signal identifier used for the wav file name (e.g., S08510_L0239_E001) and intelligibility_score is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., for 0 to 100). Your CSV files should be named as follows CPC1_<TEAM_ID>.test.csv and CPC1_<TEAM_ID>.test_indep.csv for closed set and open set evaluations respectively, where <TEAM_ID> is your individual team ID, e.g. 'E001'. The files should be sent as email attachments to the email address: claritychallengecontact@gmail.com Please use "CPC1 Submission <TEAM_ID>" as the subject line. We also encourage you to submit your prediction model(s) code. info All registered teams will be emailed with their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline. "},{"title":"Interspeech paper submission​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#interspeech-paper-submission","content":" All teams are strongly encouraged to submit a paper describing their work to the Interspeech 2022 Special Session "Speech Intelligibility Prediction for Hearing-Impaired Listeners". Interspeech submission instructions are here https://interspeech2022.org/forauthor/submissions.php The Interspeech papers need to be initially submitted by March 21st (title and abstract), with the full paper due on March 28th. "},{"title":"The technical report​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#the-technical-report","content":" The two page technical report must be submitted as a paper to the Clarity-CPC1-2022 Workshop. Deadline 25th April 2022. An author kit and submission instructions will be made available. A draft of the report needs to be submitted along with your predictions by 21st March. The draft needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates here. Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules. Your report should cite the following document, which provides an overview of the challenge and the baseline system: Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022. The document can be accessed here. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"Submission","url":"docs/cpc1/taking_part/cpc1_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"CPC2 Registration","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_registration","content":"","keywords":""},{"title":"Google group​","type":1,"pageTitle":"CPC2 Registration","url":"docs/cpc2/taking_part/cpc2_registration#google-group","content":" If you haven't done so already, please sign up to Clarity's Google group to keep up to date with the challenges. "},{"title":"ICASSP 2023 More ecologically-valid eval set","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_new_evaluation","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#overview","content":" This more ecologically-valid eval set (eval2) has been designed to answer the following research question: Can systems trained on simulated data generalise to more ecologically-valid measurement data? Recordings were carried in a real room using live talkers.The talkers were recorded on both a close microphone and also a 1st-order ambisonic microphone at the listener position. Head rotations are done using the spherical harmonic representation of the sound.HRTFs are applied to get the hearing-aid microphone signals, as for the simulated datasets. The talkers were recorded in noise-free conditions.Noise, music and speech interferers were played from loudspeaker and recorded on the ambisonic microphone.The target talker and intereferer are then mixed to create a scene with a desired SNR.The random positions of the sources and receivers were achieved using the same limitations as applied to the simulated set (e.g. target talker and listener at least 1m apart) Differences between simulated and ecologically-valid datasets: Talkers speaking and behaving different when asked to talk to a distant microphone in a real room.Real room acoustic altering sound instead of simulation using geometric room acoustic model.Directivity of interferers not omni-directional.Transducer noise on the distant ambisonic microphone.Measurements had lower order Ambisonics than used in the simulations. "},{"title":"Environment​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#environment","content":" Recordings were done in the Acoustics Research Centre's listening room at the University of Salford. Mid-frequency reverberation time: 0.27sRoom dimensions: 6.6m × 5.8m × 2.8mBackground noise: 5.7 dBA Figure 1. The listening room (photo not from evaluation set recording). "},{"title":"Equipment​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#equipment","content":" Close microphone: Neumann KM184 cardioidClose microphone preamp: Alice mic.amp.pak1Ambisonic microphone: Sennheiser Ambeo VRInterface: RME Fireface UFXLoudspeaker for interferer: M-audio BX8a "},{"title":"Target speech​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#target-speech","content":" A new set of 1,600 sentences generated from the British National Corpus not previously used by Clarity. These were generated using the same process as before [1]. The sentences were read live by 10 actors: 5 male and 5 female. Ages ranged from 20 to 62.Actors were standing. The talker faced the ambisonic microphone. They were told to talk to that microphone and ignore the close microphone.Recorded in noise-free conditions.Each speaker recorded 160 unique sentences, in blocks of 10 talking positions.A cardioid microphone about 50 cm from the talker recorded the reference speech for HASPI and HASQI. "},{"title":"Interferers​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#interferers","content":" Recordings reproduced by loudspeakers.Recordings of speech, noise and muisc same sources as CEC2 evaluation set.Each interferer recorded separately on the ambisonics microphone.Loudspeaker facing ambisonic microphone "},{"title":"Listener​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#listener","content":" Recordings on a 1st order ambisonics microphone.Front of ambisonic room along x-axis of room.Head rotation done virtually via spherical harmonics with the same statistics as the training set.HRTFs applied to the ambisonic recordings using a virtual loudspeaker set-up to give the signals on the hearing aid microphones. "},{"title":"Talker, noise and listener position​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#talker-noise-and-listener-position","content":" 16 different room layouts (see Figure 2) with random talker, interferer and listener positions. These positions determined using the same protocol as used for the simulation. A block of 10 sentences read for each layout.Sources and receivers at the same height (but some variation in the talker z-coordinate because of height differences in the actors). Figure 2. The 16 layouts. T talker; A ambisonic mic; N noise interferer; S speech interferer; M music interferer. "},{"title":"Publication​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#publication","content":" The target speech and interferers will be mixed to gain the desired signal to noise ratio using the same process as for the simulation set. The dataset will be available 1st February 2023. "},{"title":"Example recordings​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#example-recordings","content":" Recording of script reading by someone not used for the evaluation set. The audio starts 3-4 seconds into the recording. Close microphone: Your browser does not support the audio element. Ambisonic microphone, A-format: Front-left-up: Your browser does not support the audio element. Front-right-down: Your browser does not support the audio element. Back-left-down: Your browser does not support the audio element. Back-right-up: Your browser does not support the audio element. "},{"title":"References​","type":1,"pageTitle":"ICASSP 2023 More ecologically-valid eval set","url":"docs/icassp2023/data/icassp2023_new_evaluation#references","content":" [1] Graetzer, S., Akeroyd, M.A., Barker, J., Cox, T.J., Culling, J.F., Naylor, G., Porter, E. and Viveros-Muñoz, R., 2022. Dataset of British English speech recordings for psychoacoustics and speech processing research: The clarity speech corpus. Data in Brief, 41, p.107951. "},{"title":"CPC1 Data","type":0,"sectionRef":"#","url":"docs/cpc1/data/cpc1_data","content":"","keywords":""},{"title":"A. Training, development, evaluation data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#a-training-development-evaluation-data","content":" The dataset is split into these two subsets: training/development (train) and evaluation (eval). You are responsible for splitting the training/development dataset into data for training and development, e.g., using k-fold cross validation.The final evaluation and ranking will be performed with the (held-out) evaluation set.For more information on supplementing the training data, please see the rules, and also the FAQ. The evaluation dataset will be made available one month before the challenge submission deadline. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b-the-scene-dataset","content":" The complete dataset is composed of a large number of scenes associated with 6 talkers, 10 hearing aid systems and around 25 listeners. Each scene corresponds to a unique target utterance and a unique segment of noise from an interferer. The training/development and evaluation sets are disjoint for system and listener. Binaural Room Impulse Responses (BRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. The audio signals for the scenes are generated by convolving source signals with the BRIRs and summing. See the page on modelling the scenario for more details. Randomised room dimensions, target and interferer locations are used. RAVEN is the geometric room acoustic model used to create the BRIR. "},{"title":"B.1 Training/development data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b1-trainingdevelopment-data","content":" This contains all the information about how the signals processed by the hearing aids were created. For the prediction challenge, some of the data can be ignored (but is included because some may find it useful). Data and metadata most useful for the prediction challenge: The output of the hearing aid processor.The target convolved with the anechoic Binaural Room Impulse Response (BRIR) (channel 1) for each ear (‘target_anechoic’).The mono target and interferer signals (pre-convolution).Prompts of the utterances (what the actors were told to say)Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files. For evaluation not all of the data is available, see below. Other information also provided, click me to expand Data used to create inputs to hearing aids, etc: The target and interferer BRIRs (4 pairs: front, mid, rear and eardrum for left and right ears).Head Related Impulse Responses (HRIRs) including those corresponding to the target azimuth.For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate BRIR;The interferer convolved with the appropriate BRIR;The sum of the target and interferer convolved with the appropriate BRIRs. The BRIRs are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone; the premixed target signal convolved with the BRIR with the reflections “turned off”). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. The RAVEN project files - termed "rpf" - are specification files for the geometric room acoustic model that include a complete description of the room. "},{"title":"B.2 Evaluation scene data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#b2-evaluation-scene-data","content":" For each scene in the evaluation data only the following will be available: The output of the hearing aid processor.The target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata.The prompt for the utterances (the text the actors were given to read) "},{"title":"C Listener data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of our listening panel. The listening panel data will be split, so that the listeners in the held back evaluation data are different from those provided in the training and development data. The listening panel are experienced bilateral hearing-aid users (they use two hearing aids but the hearing loss may be asymmetrical) with an averaged hearing loss as measured by pure tone air-conduction of between 25 and about 60 dB in the better ear, with fluent speaking of (and listening to) British English. For every listener, you will be given the left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound. For some listeners you will be provided with additional characterisation of their hearing. Consequently, if you wish to exploit this additional data, you will need to deal with the missing data. See the FAQ for more on missing data. Below is a description of each measure. SSQ12 - Speech, Spatial, & Qualities of Hearing questionnaire, 12-question version​ This is a popular self-assessment questionnaire of hearing disability. Each item asks about listening situations typical of real life and asks how well a listener would do in it. The SSQ assesses ability to make successful use of one’s hearing (i.e. hearing disability, or activity limitation). This is an intermediate link between the audiological measurement of someone's hearing loss (i.e. their impairment) and a patient's assessment of how that hearing loss impacts their wider life (i.e. their handicap, or participation restriction). The 12 questions are given in table 1 of this paper and FYI a recent paper that used it is here. Responses to each question are on a scale from 0 to 10, with 0 representing "not at all" (or "jumbled"/"concentrate hard" for #11 & #12), and 10 representing "perfect" (or "not jumbled"/"no need to concentrate"). We programmed this as a visual-analog slider, which the participant could set to any position from 0 to 10. The SSQ12 data supplied are the responses to each question, from 0-10 at 1 decimal place resolution, along with the mean of all 12 questions. GHAPB - Glasgow hearing-aid benefit profile questionnaire​ This is designed to assess the efficacy and effectiveness of someone's hearing aid(s) in different scenarios. It asks respondents to consider four scenarios involving speech and to rate on a five-point scale their perceived initial (i.e. unaided) hearing disability, initial handicap, aided benefit, aided handicap, hearing aid use, and hearing aid satisfaction. The listening panel are experienced hearing-aid users, so some of the rating would be about their normal hearing aid. This paper describes the GHABP and provides some normative data. For each scenario, the participant is asked a primary question about if a situation happens to them (relatable). If they answer No, it moves onto to the next scenario.Yes, then a list of six secondary questions are asked (see figure below) If one of the secondary questions is not relatable to the participant, they're asked to respond "N/A" for not applicable. Figure 2. The GHAPB questionnaire. There are four scenarios: listening to the television when the volume is adjusted for others.Having a conversation with one person in quiet.Having a conversation on a busy street or in a shop.Having a conversation with several people in a group. In the datafile, the question numbers are coded as x.y where x is the scenario number and y the secondary question number. If the answer to primary questions is No, then all the secondary questions are coded as 0. If the answer to primary questions is Yes, then each subsequent question is scored as 0. = N/A = first option in the list (eg "no difficulty")= second= third= fourth= fifth (e.g. "cannot manage at all") There is no global score for the GHABP. The six secondary questions ask about different things and so should not be averaged across questions, though it is fairly common to average within-question across scenario. DTT (digit-triplet test, also known as a triple digit test)​ This is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al's high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations in Filenames​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d1-abbreviations-in-filenames","content":" R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d2-general","content":" Audio and BRIRs will be 44.1 kHz 32 bit wav files in either mono or stereo as appropriate.Where stereo signals are provided, the two channels represent the left and right signals of the ear or hearing aid microphones.HRIRs have a sampling rate of 48 kHz.Metadata will be stored in JSON format wherever possible.Room descriptions are stored as RAVEN project ‘rpf’ configuration files.Signals are saved within the Python code as 32-bit floating point by default. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was supposed to be spoken as presented to the readers.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Timing in audio files​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d4-timing-in-audio-files","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"D.5 Source audio files​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d5-source-audio-files","content":" Wav files containing the original source materials.Could be used as the clean speech reference in an intrusive (double-ended) prediction modelOriginal target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.6 Preprocessed scene signals​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d6-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone ready for processing.Target_anechoic could be used as the clean speech reference in an intrusive (double-ended) prediction model.Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav <Scene ID>_interferer_<Channel ID>.wav <Scene ID>_mixed_<Channel ID>.wav <Scene ID>_target_anechoic.wav Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone "},{"title":"D.7 Enhanced signals​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d7-enhanced-signals","content":" These are the audio signals that the listeners heard during the speech intelligibility testing. The signals that are output by a given enhancement (hearing aid) model or system. <Entrant ID>_<Scene ID>_<Listener ID>_HA-output.wav # HA output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L200 to L244. "},{"title":"D.8 Scene metadata​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d8-scene-metadata","content":" A JSON file called scenes.CPC1_train.json containing a description of each scene that is used in the listening experiments. It is a hierarchical dictionary, with the top level being scenes indexed by unique scene ID, and each scene described by a second-level dictionary. Here, viewvector indicates the direction vector or line of sight. scenes.json [ { "scene": "S00001", "room": { "name": "R00001", "dimensions": "5.9x3.4186x2.9" // Room dimensions in metres }, "SNR": 3.8356, "hrirfilename": "VP_N5-ED", // HRIR filename "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "Positions": [ -0.5, 3.4, 1.2 ], "ViewVectors": [ 0.291, -0.957, 0 ], "name": "T022_HCS_00002", // target speaker code and BNCid "nsamples": 153468, // length of target speech in samples }, "listener": { "Positions": [ 0.2, 1.1, 1.2 ], "ViewVectors": [ -0.414, 0.91, 0 ] }, "interferer": { "Positions": [ 0.4, 3.2, 1.2 ], "name": "CIN_dishwasher_012", // interferer name "nsamples": 1190700, // interferer length in samples "duration": 27, // interferer duration in seconds "type": "noise", // interferer type: noise or speech "offset": 182115, // interferer segment starts at n samples from beginning of recording }, "azimuth_target_listener": -7.55, // angle azimuth in degrees of target for receiver "azimuth_interferer_listener": -29.92, // angle azimuth in degrees of interferer for receiver "dataset": "train", // dataset: train, dev or eval/test "pre_samples": 88200, // number of samples of interferer before target onset "post_samples": 44100 // number of samples of interferer after target offset }, { // ... etc. } ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.Note that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same.A scene is completely described by the room ID and target and interferer source IDs, as all other information, e.g., source + target geometry are already in the RAVEN project rpf files. Only the room ID is needed to identify the BRIR files.The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file.Non-speech interferers are labelled CIN_<noise type>_XXX, while speech interferers are labelled <three letter code including dialect and talker gender>_XXXXX . "},{"title":"D.9 Listener metadata​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d9-listener-metadata","content":" Listener audiogram data stored in a single JSON file called listeners.CPC1_train.json with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [10, 15, 25, 40, 50, 65, 65, 70 ], }, "L0002": { // ... etc. }, // ... etc. } A spreadsheet named listener_data.CPC1_train.xlsx containing the SSQ12, GHAPB, DTT data for each listener where it is available. "},{"title":"D.10 Listener intelligibility data​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#d10-listener-intelligibility-data","content":" JSON files CPC1.train.json (for Track 1) and CPC1.train_indep.json (for Track 2) which provides the responses made by the listeners when presented with a particular scene processed by a particular system. The data is a simple list of dictionaries with one entry for each listener response CPC1.tran.json [ { "scene":"S08510", // The identity of the scene "listener":"L0239", // The identity of the listener "system":"E001", // The identify of the HA system "prompt":"i suppose you wouldn't be free for dinner this evening", // The target sentence (prompt) "response":"freeze evening", // The listeners response (transcript) "n_words":10, // Number of words in the target sentence "hits":1, // Number of words recognised correctly "correctness":10.0, // The percentage of words recognised correctly "signal":"S08510_L0239_E001" // The name of the file containing the signal listened to. }, { // ... etc. }, // ... etc. ] "},{"title":"E. Reproduction Levels​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#e-reproduction-levels","content":" The graph gives the SPL from one of our headsets based on the volume level of the tablet. The input signal was ICRA speech-shaped noise [1], unmodulated in time, and scaled to an RMS of 0.3. Figure 3. Headset SPL by tablet volume level. "},{"title":"References​","type":1,"pageTitle":"CPC1 Data","url":"docs/cpc1/data/cpc1_data#references","content":" [1] ICRA standard noises, https://icra-audiology.org/Repository/icra-noise. We used track #1. "},{"title":"FAQ for CPC2","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsupervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"FAQ for CPC2","url":"docs/cpc2/taking_part/cpc2_faq#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantify the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"ICASSP 2023 Clarity Challenge Schedule","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_dates","content":"ICASSP 2023 Clarity Challenge Schedule Key dates are as follows 28th Nov 2022: Challenge launch: Release training/dev data; tools; baseline; rules & documentation.2nd Feb 2023: Release of evaluation data.10th Feb 2023: Teams submit processed signals and technical reports.14th Feb 2023: Results released. Top 5 ranked teams invited to submit papers to ICASSP-202320th Feb 2023: Invited papers submitted to ICASSP-20234-9th June 2023: Overview paper and invited papers presented at dedicated ICASSP session","keywords":""},{"title":"Scene Generation","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_scene_generation","content":"","keywords":""},{"title":"The scenario​","type":1,"pageTitle":"Scene Generation","url":"docs/icassp2023/data/icassp2023_scene_generation#the-scenario","content":" The scenario is someone listening to a target speaker in a room with two or three interfering sound sources (Figure 1). The scenes are described by a large number of randomised parameters: The room size and materials (which create moderate reverberation typical of a living room).The identity of the target talker (one of 40 possible speakers).The 7-10 word sentence being uttered by the target talker.The listener, target talker and noise interferer locations.The head orientation of the listener. Initially, the listener is not facing the target talker, but around the time the target speech starts, the listener rotates their head to face the target approximately.The interferer sound samples, which can be a: stream of competing speech; continuous domestic noise source (e.g., a washing machine); or music source.The speech onset and offset times.While scene generating software is provided, we anticipate most entrants would use our database of pre-mixed signals. The website will provide a full description of the scene generation.The main audio signals provided are for 3 microphones on two Behind-The-Ear (BTE) hearing aids (left and right ear). While scene generating software is provided, we anticipate most entrants would use our database of pre-mixed signals. The website will provide a full description of the scene generation. The main audio signals provided are for 3 microphones on two Behind-The-Ear (BTE) hearing aids (left and right ear). Figure 1. An example scenario with two noise interferers. "},{"title":"Prizes","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_prizes","content":"","keywords":""},{"title":"The Team Prize​","type":1,"pageTitle":"Prizes","url":"docs/cpc2/taking_part/cpc2_prizes#the-team-prize","content":" There will be a separate prize for the top two systems.Prizes have been made available by the generosity of the Hearing Industry Research Consortium. 1st Place £700 (GBP) 2nd Place £350 (GBP) info The 2nd Clarity Prediction Challenge has now finished. For the details of the systems submitted, results and prize winners, please visit the Clarity-2023 Workshop website. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/cpc1/data/cpc1_scenario","content":"","keywords":""},{"title":"Overview​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#overview","content":" This page details the scenario that we have simulated to create the speech-in-noise samples, which were processed by the (simulated) hearing aids. The processed signals were played to listeners in listening tests to obtain the measured speech intelligibility scores. It is perfectly possible to compete in the prediction challenge without knowing the information provided on this page, it provides context. You could just work with the processed signals from the hearing aids and the listening test scores. However, some will find this information useful, for example, because it might inform the sourcing or creation of additional data, for example to be used for unsupervised pre-training. "},{"title":"Simulating the audio signals that were processed by the hearing aids​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#simulating-the-audio-signals-that-were-processed-by-the-hearing-aids","content":" A listener (or receiver) is in a small room that has low to moderate reverberation. They are listening to a target talker, who is selected from our set of 40 speakers. The target talker is producing one of our unique 7-10 word Clarity sentences. Simultaneously, an interferer sound is playing. This is either a competing talker or a continuous noise source (e.g., a washing machine). The target and interferer are at the same height as the listener. The room dimensions, boundary materials, and the locations of the listener, target and interferer are randomised (discussed below). An example of the scenario is shown in Figure 1. The room geometry showing origin location is defined in Figure 2. Example SceneRoom Geometry Figure 1. Example scene. Figure 3, below, shows the basic scene generator. The sound at the receiver is generated first by convolving the source signals with Binaural Room Impulse Responses (BRIRs). This generates reverberated speech and noise that includes the effects of the room and reflections from the listener's head. The reverberated speech and noise signals are then summed after appropriate gains are applied. The gains are set to achieve a Signal-to-Noise Ratio (SNR), which is chosen randomly between limits. The BRIRs are generated using the RAVEN Geometric Room Acoustic Model [1]. There are additional signal paths and outputs generated that have been omitted from Figure 3 for clarity. In addition to the reverberated signals associated with the hearing aid microphones, the signal close to the eardrum is also generated. You can also access the reverberated speech and noise signals before they are mixed. Figure 3. Simplified diagram of the scene generator. RIR refers to Room Impulse Response, HRTFs refers to Head Related Transfer Functions, SNRs are signal-to-noise ratios, and gain calc. indicates gain calculation. Dry here means anechoic. The outputs are noisy speech signals. "},{"title":"Room Geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#room-geometry","content":" Cuboid rooms with dimensions length, LLL, by width, WWW, by height, HHH.Length LLL set using a uniform probability distribution random number generator with 3≤L(m)≤83 \\le L (m) \\le 83≤L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7m2.7 m2.7m and standard deviation of 0.8m0.8 m0.8m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7m217.7 m^217.7m2 and standard deviation of 5.5m25.5 m^25.5m2. "},{"title":"Room Materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least at 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The receiver​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-receiver","content":" The receiver has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). The reciver can have one of two heights (seated or standing height). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2m1.2 m1.2m (sitting) or 1.6m1.6 m1.6m (standing). The receiver is positioned so as to be roughly facing the target talker. That is to say, within ±30\\pm 30±30 degrees of target. The angle = 7.5n7.5n7.5n where nnn is an integer and ∣n∣≤4|n| \\le 4∣n∣≤4. "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. "},{"title":"The interferer​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#the-interferer","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) The interferer is a single point source radiating speech or non-speech noise omnidirectionally. It is placed within the room using uniform probability distribution random number generators for the coordinates. These constraints ensure the interferer is not too close to the wall or receiver. It is set to be at the same height as the receiver. Note, this means that the interferer can be at any angle relative to the receiver. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ "},{"title":"Timing​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#timing","content":" The target sound starts 2 seconds after the start of the interferer. This is so the target is clear and unambiguously identifiable for listening tests. This also gives the hearing aid algorithms some time to adjust to the background noise.The interferer continues 1 second after the target has finished, so that all words in the target utterance can be masked. "},{"title":"Signal-to-Noise Ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#signal-to-noise-ratio-snr","content":" The mixtures are engineered such that the target utterances are at an appropriate level of intelligibility when processed by the default hearing aid software. This is achieved by scaling the interferer. Pilot tests have been conducted to get this approximately correct. Scaling is done this way because it does not require recomputing the BRIRs. Note that the interferer can be at any azimuth from the point of view of the listener/receiver. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen using a uniform probability distribution random number generator between the limits of ranges specified for the speech and non-speech interferers. The calculation is based on the ear that has the better signal to noise ratio, as this mimics the better ear effect in binaural listening, where listeners focus on the ear that has the best SNR. The better ear SNR (BE_SNR) is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the interferer that overlaps with the target (without padding) , i‘, and the target (without padding), t‘, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i‘ and t’ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The whole interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050];Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001]; Figure 4, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/cpc1/data/cpc1_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. "},{"title":"ICASSP 2023 Data","type":0,"sectionRef":"#","url":"docs/icassp2023/data/icassp2023_data","content":"","keywords":""},{"title":"A. Training, development and evaluation data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#a-training-development-and-evaluation-data","content":" The dataset of 10,000 simulated scenes is split into three sets: 6000 training scenes (available now)2500 development scenes (available now)1500 evaluation scenes (released 1st Feb. 2023) In addition there will be: A secondary 'real data' evaluation set that will be based on real ecologically-valid recordings and so can highlight the generalizability of the entrants’ approaches beyond the simulations (released 1st February 2023). More information. "},{"title":"B. The scene dataset​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b-the-scene-dataset","content":" For the dataset of 10,000 simulated scenes Each scene corresponds to a unique target utterance and unique segment(s) of noise from the interferers.The training, development and evaluation sets are disjoint with respect to the target speakers.Sets are balanced for the gender of the target talker.Entrants must not use the development or evaluation data sets for training.The system submitted should be chosen on the evidence provided by the development set. For evaluation The final ranking will be performed with the (held-out) evaluation sets.Neither evaluation datasets (simulation nor real) have been used in previous Clarity challenges. The secondary 'real data' evaluation set will be made using real acoustic mixtures but using loudspeaker playback of target talkers so that the reference speech can be extracted as needed by the objective metrics. For the training and development set, entrants have access to a diverse range of signals and metadata, with the most important being: The hearing aid microphone signalsThe hearing characteristics of the listener (e.g. audiogram)The anechoic target reference and interferer signals. For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files. For evaluation, the data available is more limited, i.e., The hearing aid microphone signalsThe hearing characteristics of the listener (e.g. audiogram)The anechoic target reference signal which will be used by the organisers but not released to entrants. High-Order Ambisonic Impulse Responses (HOA-IRs) and Head-Related Impulse Response (HRIRs) are used to model how the sound is altered as it propagates through the room and interacts with the head. See the page on scene generation for more details. Time-domain acoustic signals are generated for: A hearing aid with 3 microphone inputs (front, mid, rear). The hearing aid has a Behind-The-Ear (BTE) form factor; see Figure 1. The distance between microphones is approx. 7.6 mm. The properties of the tube and ear mould are not considered.Close to the eardrum.The anechoic target reference (front microphone). Figure 1. Front (Fr), Middle (Mid) and Rear microphones on a BTE hearing aid form. Head Related Impulse Responses (HRIRs) are used to model how sound is altered as it propagates in a free-field and interacts with the head (i.e., no room is included). These are taken from the OlHeadHRTF database with permission. These include HRIRs for human heads and for three types of head-and-torso simulator/mannekin. The eardrum HRIRs (labelled ED) are for a position close to the eardrum of the open ear. rpf files and ac files are specification files for the geometric room acoustic model that include a complete description of the room, both in terms of geometry and room materials. "},{"title":"B.1 Training data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b1-training-data","content":" For each scene in the training data the following signals and metadata are available: The target and interferer HOA-IRs (4 pairs: front, mid, rear and eardrum for left and right ears).The mono target and interferer signals (pre-convolution).For each hearing aid microphone (channels 1-3 where channel 1 is front, channel 2 is mid and channel 3 is rear) and a position close to the eardrum (channel 0): The target convolved with the appropriate HOA-IRs and downmixed;The interferers convolved with the appropriate HOA-IRs and downmixed;The sum of the target and interferer convolved with the appropriate HOA-IRs and downmixed; (i.e. the noisy signals that would be received by the hearing aid) The target convolved with the anechoic HOA-IRs and downmixed for channel 1 for each ear (‘target_anechoic’). For use as a reference when computing HASPI scores.Metadata describing the scene: a JSON file containing, e.g., the filenames of the sources, the location of the sources, the viewvector of the target source, the location and viewvector of the receiver, the room dimensions (see specification below), and the room number, which corresponds to the RAVEN BRIR, rpf and ac files.A signal describing the head rotation (i.e. azimuthal angle at each sample) "},{"title":"B.2 Development data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b2-development-data","content":" This is made available to allow you to fully examine the performance of your system. Ground truth data (i.e., the premixed target and interferers are available in the development set) Development data also contains target speaker adaptation sentences, i.e., four utterances from each of the target speakers. These will also be available in the evaluation data. i.e., systems can use these utterances in conjunction with the known target ID to inform their system of the which speaker in the scene should be attended. Note, that the data available for the evaluation will be much more limited, e.g. it will not contain premixed ground truth signals or scene metadata, (see Section B.3). When using the development data for evaluation, your hearing aid enhancement model should only be using the types of data available in the evaluation data set (see below). "},{"title":"B.3 Simulated Evaluation data (eval1)​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b3-simulated-evaluation-data--eval1","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.The head rotation signal, i.e. as might be recovered from hearing aid motion sensors. (Systems can use this signal but should also be evaluated without using it.)Speaker adaptation sentence - 4 clean utterances for each target speaker. One challenge will be identifying the target talker from the hearing aid microphone signals. There are two possibilities: The ID of the target talker is given with examples of clean audio. This would allow an algorithm to learn characteristics of the target talker to then help it identify the voice in the mixture.The azimuth of the target and the starting time of the utterance are both roughly known from the scene generation metadata statistics. These two approaches mimic what is available to human listeners. They might focus on a known voice or they might use visual cues to know roughly where and when someone is talking. "},{"title":"B.4 Real Evaluation data (eval2)​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#b4-real-evaluation-data-eval2","content":" The following data will only be available: Audio: the sum of the target and interferers for each hearing aid microphone.The ID of the listener who will be auditioning the processed scene.The listener characterisation data for these listeners.ID of target talker and a few examples of clean audio that are not the same as the target utterance.Speaker adaptation sentence - 4 clean utterances for each target speaker.Further details to be confirmed. "},{"title":"C Listener data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#c-listener-data","content":" We will provide metadata characterising the hearing abilities of the listeners so the audio signals you generate for evaluation can be individualised to the specific listeners who will be hearing them. The same types of data are available for training, development and evaluation. A panel of hearing-aided listeners will be recruited for evaluation. They will be experienced bilateral hearing-aid users: they use two hearing aids but the hearing loss may be asymmetrical. The average pure tone air-conduction hearing loss will be between 25 and about 60 dB in the better ear. They will be fluent in British English. The quantification of the listeners’ hearing is done with: Left and right pure tone air-conduction audiograms. These measure the threshold at which people can hear a pure-tone sound.Results from the DTT (digit-triplet test, also known as a triple digit test)​ The audiogram is the standard clinical measurement of hearing ability. It’s the pure-tone threshold of hearing in each ear, measured in quiet in a sound booth. The procedure is standardized e.g., British Society of Audiology Recommended Procedure. Typically it’s measured at octave frequencies and important intermediate frequencies.The values of the audiogram defines how much gain the hearing aid needs to apply, with the calculation typically done by one of a group of "prescription rules", e.g. CAMFIT, NAL-NL2 or DSL . Note that the scale of an audiogram is in “dB HL” = “dB Hearing Level”. This is not dB SPL; instead, it’s relative to an international standard such that 0-dB is “normal hearing” at every frequency. For background see Why the Audiogram Is Upside-down | The Hearing Review and The Quest for Audiometric Zero | The Hearing Review The DTT is an adaptive test of speech-in-noise ability. In each trial a listener hears three spoken digits (e.g. 3-6-1) against a background of noise at a given signal-to-noise-ratio (SNR). The task is to respond on a keypad with those three digits in the order they were presented. If the listener gets all three correct, then the SNR is reduced for the next trial so making it slightly harder. If the listener makes any mistake (i.e., any digit wrong, or the order wrong) then the SNR is increased, so making the next trial slightly easier. The test carries on trial-by-trial. The test asymptotes to the SNR at which the participant is equally likely to get all three correct or not, with a few tens of trials needed to get an acceptable result. DTT tests are now used world-wide to measure hearing as they are easy to make in any local language, to explain to participants and to do, and moreover can be done over the internet or telephone as they measure a relative threshold (signal-to-noise ratio), not an absolute threshold in dB SPL. Listeners are encouraged to set a volume that is comfortable and that does not distort or crackle, but is not too quiet. This paper is a recent scoping review of the field. The particular version we used is Vlaming et al.'s high-frequency DTT, which uses a high-pass noise as the masker. Ours starts at -14 dB SNR, goes up/down at 2 dB steps per trial, and continues for 40 trials. In the datafile, an average of the SNR for the last 30 trials is provided (labelled 'threshold'). For reference, the SNRs are supplied for each trial as well. The very first trial is practice and is not scored. "},{"title":"D Data file formats and naming conventions​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d-data-file-formats-and-naming-conventions","content":" "},{"title":"D.1 Abbreviations used in filenames​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d1-abbreviations-used-in-filenames","content":" The following abbreviations are used consistently throughout the filenames and references in the metadata. R – “room”: e.g., “R02678” # Room ID linking to RAVEN rpf fileS – “scene”: e.g., S00121 # Scene ID for a particular setup in a room I.e., room + choice of target and interferer signalsBNC – BNC sentence identifier e.g. BNC_A06_01702CH – CH0 – eardrum signalCH1 – front signal, hearing aid channelCH2 – middle signal, hearing aid channelCH3 – rear signal, hearing aid channel I/i1 – Interferer, i.e., noise or sentence ID for the interferer/maskerT – talker who produced the target speech sentencesL – listenerE – entrant (identifying a team participating in the challenge)t – target (used in BRIRs and RAVEN project ‘rpf’ files) "},{"title":"D.2 General​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d2-general","content":" Audio and HOA-IRs will be 44.1 kHz 32-bit wav files in either mono or stereo as appropriate.Where stereo signals are provided the two channels represent the left (0) and right (1) signals of the ear or hearing aid microphones.0 dB FS in the audio signals corresponds to 100 dB SPL.Metadata will be stored in JSON or csv format as appropriate with the exception of Room descriptions are stored as RAVEN project ‘rpf’ configuration files and ‘ac’ files. (However, key details are reflected in the scene.json files) Signals are saved within the Python code as 32-bit floating point by default.Output signals for the listening tests will be required to be in 16-bit format. "},{"title":"D.3 Prompt and transcription data​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d3-prompt-and-transcription-data","content":" The following text is available for the target speech: Prompts are the text that was given to the talkers to say.‘Dot’ transcriptions contain the text as it was spoken in a form more suitable for scoring tools.These are stored in the master json metadata file. "},{"title":"D.4 Source audio files​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d4-source-audio-files","content":" Wav files containing the original source materials. Original target sentence recordings: <Talker ID>_<BNC sentence identifier>.wav "},{"title":"D.5 Preprocessed scene signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d5-preprocessed-scene-signals","content":" Audio files storing the signals picked up by the hearing aid microphone that are ready for processing. Separate signals are generated for each hearing aid microphone pair or ‘channel’. <Scene ID>_target_<Channel ID>.wav<Scene ID>_interferer_<Channel ID>.wav<Scene ID>_mixed_<Channel ID>.wav<Scene ID>_target_anechoic.wav - at hearing device front microphone<Scene ID>_hr.wav - head rotation signal Scene ID – S00001 to S10000 S followed by 5 digit integer with 0 pre-padding Channel ID CH0 – Eardrum signalCH1 – Hearing aid front microphoneCH2 – Hearing aid middle microphoneCH3 – Hearing aid rear microphone The anechoic signal is the signal that will be used as the referernce in the HASPI evaluation. The head rotation signal indicates the precise azimuthal angle of the head at each sample. It is stored as a floating point wav file with values between -1 and +1 where the range maps linearly from -180 degrees to +180 degrees. Teams are free to use this signal in their hearing aid algorithms, but if you do so we will ask you to also submit a version of your system that does not use it, so that the benefit of known head motion can be measured. "},{"title":"D.6 Enhanced signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d6-enhanced-signals","content":" The signals that are output by the baseline enhancement algorithm. <Scene ID>_<Listener ID>_enhanced.wav # Enhancement output signal (i.e., as submitted by the challenge entrants) Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. "},{"title":"D.7 Hearing-aid output signals​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d7-hearing-aid-output-signals","content":" <Scene ID>_<Listener ID>_HA-output.wav # i.e., the enhanced signals after processing with the supplied hearing aid amplification. Listener ID – ID of the listener panel member, e.g., L001 to L100 for initial ‘pseudo-listeners’, etc. "},{"title":"D.8 Room metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d8-room-metadata","content":" JSON file containing the description of a room. This is the data from which the ambisonic room impulse response are generated. It stores the fixed room, listener, target and interferer geometry but does not specify the dynamic factors (e.g. signals, SNRs, head movements etc) that are needed to fully define a scene. rooms.json [ { "name": "R00001", // ID of room linking to RAVEN rpf and ac files "dimensions": "6.9933x3x3", // Room dimensions in metres "target": { // target positions (x,y,z) and view vectors (look directions, x,y,z) "position": [-0.3, 2.4, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "listener": { "position": [-0.1, 5.2, 1.2], "view_vector": [0.071, 0.997, 0.0], }, "interferers": [ { "position": [0.4, 4.0, 1.2], }, { // etc, up to three interferers } ], }, ... ] "},{"title":"D.9 Scene metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d9-scene-metadata","content":" JSON file containing a description of the scene. It is a list of dictionaries with each entry representing a unique scene. A scene can be considered to be a room (see Section D.7) plus the full set of listener, target and interferer details. Note, many scenes can be generated from a single room, i.e. each using different listener, target and interferer settings. scenes.json [ { "scene": "S00001", // the unique scene ID "room":: "R00001", // ID of room linking to rooms.json "target": { "name": "T005_JYD_04274", // target speaker code and BNCid "time_start": 107210, // start time of target in samples "time_end": 217019 // end time of target in samples }, "listener": { "rotation": [ // Defines the head motion - list of time, direction pairs { "sample": 88200, "angle": 30 // Azimuth angle in degrees }, { "sample": 176400, "angle”: 50 } ], "hrir_filename": ["VP_N4-ED", "VP_N4-BTE_fr", "VP_N4-BTE_mid", "VP_N4-BTE_rear"] // HRIR filename for each channel to generate }, "interferers": [ { "position": 1, // Index of interferer position (See rooms.json) "time_start": 0, // time of interferer onset in samples "time_end": 261119, // time of interferer offset in samples "name": "track_1353255", // interferer name "type": "music", // interferer type: speech, noise or music "offset": 4076256 // index into interferer file at which to extract sample }, { // etc, up to three interferers } ], "dataset": "train", // the dataset to which the scene belongs: train, dev or eval "duration": 261119, // total duration of scene in samples "SNR": 6.89 // targe SNR for the scene }, ... ] There are JSON files containing the scene specifications per dataset, e.g., scenes.train.json.- Note, that the scene ID and room ID might have a one-to-one mapping in the challenge, but are not necessarily the same. Multiple scenes can be made by changing the target and masker choices for a given room. E.g., participants wanting to expand the training data could remix multiple scenes from the same room. The listener ID is not stored in the scene metadata; this information is stored separately in a scenes_listeners.json file which maps scenes to listeners, ie. telling you which listener (or listeners) will be listening to which scenes in the evaluation (see Section D.9). Noise interferers are labelled with a type “music”, “noise” or “speech” and then have a unique name identifying the file. For speech: <ACCENT_CODE>_<SPEAKER_ID> where ACCENT_CODE is a three letter code identify the accent region and gender of the speaker and SPEAKER_ID is a 5-digit ID specific to an individual speaker. E.g. "mif_02484" is a UK midlands accented female, speaker 02484. The speech comes from Demirshan et al. [1] which provides more details.For noise: CIN_<NOISE_TYPE>_<NOISE_ID> where NOISE_TYPE is one of dishwasher, fan, hairdryer, kettle, microwave, vacuum (vacuum cleaner) or washing (washing machine) and NOISE_ID is a unique 3-digit code for the sample.For music: track_<TRACK_ID> where TRACK_ID is unique 7-digit track identifier taken from the MTG Jamendo database. [2] Given the type and name, further interferer metadata can be found in the files masker_speech_list.json, masker_noise_list.json and masker_music_list.json which are distributed with the challenge. "},{"title":"D.10 Listener metadata​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d10-listener-metadata","content":" Audiogram data is stored in a single JSON file with the following format. listeners.json { "L0001": { "name": "L0001", "audiogram_cfs": [250, 500, 1000, 2000, 3000, 4000, 6000, 8000], "audiogram_levels_l": [10, 10, 20, 30, 40, 55, 55, 60], "audiogram_levels_r": [ … ], }, "L0002": { // ... etc }, // ... etc } Additional metadata (e.g. digit triple test results) are stored in a csv file. DETAILS "},{"title":"D.11 Scene-Listener map​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#d11-scene-listener-map","content":" JSON file named scenes_listeners.json dictates which scenes are to be processed by which listeners. scenes_listeners.json { "S00001": ["L0001", "L0002", "L0003"], "S00002": ["L0003", "L0005", "L0007"], // ... etc } "},{"title":"References​","type":1,"pageTitle":"ICASSP 2023 Data","url":"docs/icassp2023/data/icassp2023_data#references","content":" Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara, "Open-source Multi-speaker Corpora of the English Accents in the British Isles", Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 6532--6541, 2020, Avialable OnlineBogdanov, Dmitry and Won, Minz and Tovstogan, Philip and Porter, Alastair and Serra, Xavier, "The MTG-Jamendo Dataset for Automatic Music Tagging", In Proc. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019, Long Beach, CA, United States", Available Online "},{"title":"The Challenge Rules","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_rules","content":"","keywords":""},{"title":"What information can I use?​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#training-and-development","content":" Teams should use the signals and listener responses provided in the CPC2.train.json file. In addition, teams can use their own data for training or expand the training data through simple automated modifications. Additional pre-training data could be generated by existing speech intelligibility and hearing loss models. The FAQ gives links to some models that might be used for this. Any audio or metadata can be used during training and development, but during evaluation the prediction model(s) will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#evaluation","content":" The only data that can be used by the prediction model(s) during evaluation are described below. For non-intrusive methods: The output of the hearing aid processor/system.The IDs of the listeners assigned to the scene/hearing aid system in the metadata provided.The listener metadata. Additionally, for intrusive methods: The target reference signal, i.e. the target convolved with the anechoic BRIR (channel 1) for each ear (‘target_anechoic’).The prompt for the utterances (the text the actors were given to read). "},{"title":"Baseline models and computational restrictions​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#baseline-models-and-computational-restrictions","content":" Teams may choose to use all or some of the provided baseline models.There is no limit on computational cost.Models can be non-causal. "},{"title":"What sort of model do I create?​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#what-sort-of-model-do-i-create","content":" You model should report the speech intelligibility for the whole sentence for each audio sample/listener combination, i.e. a single score that represents a prediction of the proportion of words that would be recognised correctlyThe model architecture is entirely up to you, e.g. you can create a model that attempts to recognise individual words and then reduces this down to a proportion, or you can estimate an intelligibility score directly from the audio. Models may have explicit hearing loss model stages or be trained directly to map signals and audiograms to predictions. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#submitting-multiple-entries","content":" If you wish to submit multiple entries, Your systems must have significant differences in their approach.You must contact the organisers to discuss your plans.If accepted you will be issued with multiple Team IDs to distinguish your entries.In your documentation, you must make it clear how the submissions differ. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#evaluation-of-systems","content":" Entries will be ranked according to their performance in predicting measured intelligibility scores.The system score will be taken to be the RMSE between the predicted and measured intelligibility scores across the complete test set.Separate rankings will be made for intrusive and non-intrusive methods.Systems will only be considered if the technical report has been submitted and the system is judged to be compliant with the challenge rules. "},{"title":"Teams​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#teams","content":" Teams must have registered and nominated a contact person.Teams can be from one or more institutions.The organisers - and any person forming a team with one or more organisers - may enter the challenge themselves but will not be eligible to win the cash prizes. "},{"title":"Transparency​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents on the challenge website (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system(s)/model(s) and to make their code open source.Anonymous entries are allowed but will not be eligible for cash prizes.If a group of people submits multiple entries, they cannot win more than one prize in a given category.All teams will be referred to using anonymous codenames if the rank ordering is published before the final results are announced.Teams are strongly encouraged to submit their report for presentation at the Clarity-2023 Interspeech Satellite Workshop. "},{"title":"Intellectual property​","type":1,"pageTitle":"The Challenge Rules","url":"docs/cpc2/taking_part/cpc2_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). The entrants' “Submission” will consist of a set of intelligibility predictions and an accompanying technical report. The Challenge is organised by the “Challenge Organiser”. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive license to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"The ICASSP 2023 Clarity Challenge","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_intro","content":"","keywords":""},{"title":"Organisers​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#organisers","content":" Michael Akeroyd, Graham Naylor, University of NottinghamJon Barker, Will Bailey, Zehai Tu, University of SheffieldTrevor Cox, Simone Graetzer, University of SalfordJohn Culling, Cardiff University "},{"title":"Overview of challenge​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#overview-of-challenge","content":" Speech enhancement is a major research area with thousands of papers each year, yet only a tiny percentage of these explicitly consider improvements for listeners who have a hearing loss. Consequently, this signal processing challenge is designed to get the latest advancements in speech enhancement applied to hearing aids. Entrants are tasked to enhance speech-in-noise for input into a hearing aid amplification stage. The hearing aid will be tuned to the hearing characteristics of particular people. Thus you can enter without in-depth knowledge of hearing aids, and just concentrate on the task of de-noising. The scenario is listening to speech in the presence of typical domestic noise. We provide the signals captured by the microphones on a pair of behind-the-ear hearing aids and those captured at the eardrum. The target speech will be a short sentence. The interfering noises will be a mix of speech, domestic appliance noise and music. The audio includes the simulation of the acoustic of typical small living rooms. The challenge is to improve the speech intelligibility without excessive loss of quality. To this end, entries will be evaluated using an objective metric that is an average of the Hearing Aid Speech Perception Index (HASPI) and Hearing Aid Speech Quality Index (HASQI). "},{"title":"What is be provided​","type":1,"pageTitle":"The ICASSP 2023 Clarity Challenge","url":"docs/icassp2023/icassp2023_intro#what-is-be-provided","content":" Premixed speech + interferer scenes for training and evaluation.Databases of target sentences, along with speech, noise and music interferers.Listener characteristics, including audiograms and speech-in-noise testing.Software including tools for augmenting training data, a baseline enhancement system, a fixed hearing aid implementation and code for scoring signals using the HASPI and HASQI hearing aid metrics. The scenario is similar to the second Clarity Enhancement Challenge but with the following key differences: Participants are asked to focus on speech enhancement only. Hearing aid processing/simulation is not part of the challengeSpeech quality (HASQI) will be assessed in conjunction with speech intelligibility (HASPI) This site provides access to all the software, data and information that you need to get started. "},{"title":"Results","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_results","content":"Results The Clarity ICASSP-2023 Enhancement Challenge is now complete. Results are shown below along with links to the system description papers. The table below reports the HASPI, HASQI and average (over HASPI and HASQI) scores for all the submitted systems. Results are shown for both Eval 1 (the simulated evaluation set) and Eval 2 (using the real recordings). Where a system ID ends with '_data', additional training data has been used. Those that end with '_hr' has exploitied the head rotation information. Links to the system reports are also provided. The Eval 1 average has been used to rank the systems. Rank\tTeam\tID\tPaper\tEval 1 (HASPI)\tEval 1 (HASQI)\tEval 1 (Average)\tEval 2 (HASPI)\tEval 2 (HASQI)\tEval 2 (Average)8\tBaseline\tBaseline 0.266\t0.128\t0.197\t0.176\t0.121\t0.149 9\tT001\tE002\tLink\t0.179\t0.093\t0.136\t0.101\t0.078\t0.09 7\tT002\tE009\tLink\t0.286\t0.161\t0.224\t0.126\t0.108\t0.117 5\tT003\tE014\tLink\t0.797\t0.414\t0.606\t0.291\t0.11\t0.201 10\tT004\tE023\tLink\t0.117\t0.047\t0.082\t0.026\t0.019\t0.018 2\tT005\tE028\tLink\t0.78\t0.526\t0.653\t0.026\t0.019\t0.022 1\tT005\tE028_data\tLink\t0.816\t0.57\t0.693\t0.249\t0.154\t0.199 4\tT006\tE029\tLink\t0.835\t0.393\t0.613\t0.256\t0.104\t0.18 3\tT006\tE029_hr\tLink\t0.838\t0.393\t0.616\t0.256\t0.103\t0.18 6\tT007\tE030\tLink\t0.729\t0.316\t0.522\t0.284\t0.132\t0.208","keywords":""},{"title":"Additional Tools","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_additional_tools","content":"","keywords":""},{"title":"Hearing loss model​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#hearing-loss-model","content":" This is an open-source python implementation of a hearing loss model developed by Brian Moore, Michael Stone and other members of the Auditory Perception Group, University of Cambridge [1, 2]. Inputs: A stereo wav audio signal, e.g., the output of the hearing aid model and audiograms for left and right ear.Outputs: The signal after simulating the hearing loss as specified by the set of audiograms (stereo wav file), <scene>_<listener>_HL-output.wav "},{"title":"Differentiable source separation and hearing aid amplification modules​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#differentiable-source-separation-and-hearing-aid-amplification-modules","content":" The modules are from the Sheffield E009 system in CEC1. The source separation module is a multi-channel Conv-TasNet optimised with a SNR objective. The hearing aid amplification module is an FIR filter optimised with an objective, which is the combination of a differentiable approximation to the hearing loss model and a STOI loss. Inputs: six channels of mixed signals, i.e., mixed_CH1.wav, mixed_CH2.wav, and mixed_CH3.wavOutputs: a single channel enhanced signal, therefore two source separation and amplification modules for left and right ears need to be optimised for the enhanced binaural signal. "},{"title":"Speech intelligibility model (MBSTOI)​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#speech-intelligibility-model-mbstoi","content":" Python implementation of a binaural intelligibility model, Modified Binaural Short-Time Objective Intelligibility (MBSTOI) [3]. Note that MBSTOI requires signal time-alignment (and alignment within one-third octave bands). Inputs: HL-model output signals, audiogram, reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections 'turned off', specified as 'target_anechoic'), (scene metadata)Outputs: predicted intelligibility score "},{"title":"References​","type":1,"pageTitle":"Additional Tools","url":"docs/icassp2023/software/icassp2023_additional_tools#references","content":" Moore, B. C. J., Alcantara, J. I., Stone, M. and Glasberg, B. R., 1999. Use of a loudness model for hearing aid fitting: II. Hearing aids with multi-channel compression. British Journal of Audiology, 33(3), pp. 157-170.Nejime, Y. and Moore, B. C., 1997. Simulation of the effect of threshold elevation and loudness recruitment combined with reduced frequency selectivity on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 102(1), pp. 603-615.Andersen, A. H., de Haan, J. M., Tan, Z. H. and Jensen, J., 2018. Refinement and validation of the binaural short-time objective intelligibility measure for spatially diverse conditions. Speech Communication, 102, pp. 1-13. "},{"title":"ICASSP 2023 Clarity Challenge Download","type":0,"sectionRef":"#","url":"docs/icassp2023/icassp2023_download","content":"","keywords":""},{"title":"Software​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge Download","url":"docs/icassp2023/icassp2023_download#software","content":" All the necessary software tools are available as a single GitHub repository. A new version of the repository code, v0.2.0, has been released for use with the challenge. It contains a recipe for running the baseline and standard evaluation (recipes/icassp2023). "},{"title":"Data​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge Download","url":"docs/icassp2023/icassp2023_download#data","content":" The data is available for download here. On the download site you will see four data packages are available, clarity_CEC2_core.v1_1.tgz [28 GB] - metadata and dev set clarity_CEC2_train.v1_1.tgz [69 GB] - scenes for training systems clarity_CEC2_hoairs.v1_0.tgz [144 GB] - impulse responses for generating extended training data clarity_CEC2_icassp2023_eval.v1_0.tgz [6.5 GB] - the eval1 and eval2 evaluation sets (added on 2nd Feb 2023). All participants will require the core data package. Participants using machine learning approaches will additionally require the train data package. Participants wishing to extend the training set by using our provided scene rendering tools will also require the high order ambisonic impulse responses (i.e., the hoairs package). To unpack the data we recommend you follow the instructions in the Clarity Challenge GitHub repository. "},{"title":"Core Software","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_core_software","content":"","keywords":""},{"title":"A. Scene generator​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#a-scene-generator","content":" Fully open-source Python code for generating hearing aid inputs for each scene Inputs: target and interferer signals, HOA-IRs, RAVEN project (rpf) files, scene description JSON filesOutputs: Mixed target+interferer signals for each hearing aid channel, direct path (simulating a measurement close to the eardrum). Reverberated pre-mixed signals can also be optionally generated. "},{"title":"B. Hearing aid enhancement stage​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#b-hearing-aid-enhancement-stage","content":" The hearing aid enhancement stage supplied simply reduces the six channel input to two channels by selection the 'front' microphone on each ear. This is the component that you are challenged to replace. Inputs: 6 channel hearing aid input (3 microphones per for each ear)Outputs: An enhanced stereo signal that is passed to the amplification stage. "},{"title":"C. The hearing aid amplification stage​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#c-the-hearing-aid-amplification-stage","content":" The hearing aid amplifier consists of a NAL-R fitting amplification stage [1] followed by a simple automatic gain compressor. It produces output signals in 16-bit wav format ready for HASPI and HASQI evaluation. Inputs: Stereo output of the enhancement stage and audiograms to characterise the listeners.Outputs: Stereo hearing aid (HA) outputs signals. "},{"title":"D. HASPI Speech Intelligibility model​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#d-haspi-speech-intelligibility-model","content":" Python implementation of the Hearing Aid Speech Perception Index (HASPI) [2] model which is used for objective intelligibility estimation. This will be one component of the evaluation metric. Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"E. HASQI Speech Quality model​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#e-hasqi-speech-quality-model","content":" Python implementation of the Hearing Aid Speech Quality Index (HASQI) [3] model which is used for objective quality estimation. This will be one component of the evaluation metric. Inputs: reference target signal (i.e., the premixed target signal convolved with the BRIR with the reflections “turned off”, specified as ‘target_anechoic’), HA output signals, audiogram, level reference (level in dB SPL which corresponds to 0 dB FS)Outputs: predicted intelligibility score It is important to remember that both reference target and HA output signals have to be calibrated to the same dB SPL level before calculating HASPI. "},{"title":"References​","type":1,"pageTitle":"Core Software","url":"docs/icassp2023/software/icassp2023_core_software#references","content":" Byrne, Denis, and Harvey Dillon. "The National Acoustic Laboratories'(NAL) new procedure for selecting the gain and frequency response of a hearing aid." Ear and hearing 7.4 (1986): 257-265.Kates, J.M. and Arehart, K.H., 2021. "The hearing-aid speech perception index (haspi) version 2". Speech Communication, 131, pp.35-46.Kates, J.M. and Arehart, K.H., 2014. "The hearing-aid speech quality index (HASQI) version 2". Journal of the Audio Engineering Society. 62 (3): 99–117. "},{"title":"CPC2 Submission","type":0,"sectionRef":"#","url":"docs/cpc2/taking_part/cpc2_submission","content":"","keywords":""},{"title":"Registration​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#registration","content":" Teams are required to register to help us organise the challenge. Registered teams will be assigned a unique team ID. "},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#what-evaluation-data-is-provided","content":" The evaluation data consists of audio signals processed by hearing aid systems, clean reference signals, listener metadata, and a mapping of which listeners listened to which scenes/hearing aid systems. The evaluation data is will be made available when the submission period opens. See the download page for more details. There will be three evaluation sets (eval1, eval2 and eval3), corresponding to the three three training data partitions. i.e., predictions for the eval1 set should be made with systems trained on the train1 partition; eval2 with train2 and eval3 with train3. Note, the evaluation data does not contain the listener responses. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). We will then release the true listener responses the day after the submission deadline to allow teams to perform analysis of their results. "},{"title":"What do I need to submit?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#what-do-i-need-to-submit","content":" All teams must submit Their predicted intelligibility scoresA two page technical report "},{"title":"The predicted intelligibility scores​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#the-predicted-intelligibility-scores","content":" Scores for each evaluation set should be stored in a separate CSV file named as follows CPC2_<TEAM_ID>.<SET>.csv, where <TEAM_ID> is your individual team ID, e.g. 'E001' and <SET> is the evaluation set number, either 1, 2, or 3. The CSV files should have two columns, signal_ID, intelligibility_score where the signal_ID is the unique signal identifier used for the wav file name (e.g., S08510_L0239_E001) and intelligibility_score is the predicted intelligibility given in terms of the percentage words recognised correctly for the signal (i.e., from 0 to 100). The three CSV files should be sent as email attachments to the email address: claritychallengecontact@gmail.com Please use "CPC2 Submission <TEAM_ID>" as the subject line. We also encourage you to make your prediction model code available via an open-source license, but this is not a pre-requisite for entry (see challenge rules). info All registered teams will be emailed with a reminder of their unique team ID shortly before the submission deadline. If you plan to submit please register before the submission deadline. "},{"title":"The technical report​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#the-technical-report","content":" The two page technical report must be submitted in the format required for the Clarity-2023 Workshop. The author kit and link for submission can be found on the workshop website. The report needs to be sufficiently complete for us to judge whether your system(s)/model(s) is compliant with the challenge rules. You can find a list of key challenge dates here. Your report should include an abstract and introduction and sections on experimental setup/methodology including system/model information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used. Please make it clear how your system(s)/model(s) meets the challenge rules. Note, you will not have your final evaluation set scores when you submit your report. We will score your submission for you and return your score (we aim to do this within 24 hours of submission). We will then release the groundtruth listener responses the day after the submission deadline (i.e. 1st August) to allow teams to perform further analysis of their results. This extra information can then be included in a revised version of your report, which will be published on the workshop website in time for the workshop itself on 19th August. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"CPC2 Submission","url":"docs/cpc2/taking_part/cpc2_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_faq","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"ICASSP 2023 Clarity Challenge - Speech Enhancement for Hearing Aids FAQ","url":"docs/icassp2023/taking_part/icassp2023_faq#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Click arrow to see synopsis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Find collaborators","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_find_a_team","content":"Find collaborators If you'd like to team up with someone else to compete in the challenges, we can help. Please complete this Google form to let us know your own expertise, and what you're looking for in a collaborator. We'll then put people in contact with possible collaborators. We encourage everyone to join the Clarity Challenge’s Google group to stay updated with project news and announcements. We post in there when we have new people seeking team members (we don't share any personally-identifying details to the group). You are welcome to contact us if you have any questions about forming a team or participating in the challenge: Email the Clarity Team","keywords":""},{"title":"ICASSP 2023 Clarity Grand Challenge Registration","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_registration","content":"ICASSP 2023 Clarity Grand Challenge Registration Teams are required to register using the form below. Please register as soon as possible. Please submit one form per team, providing a single contact email address. Once you have registered, you will receive an email confirmation with a team ID. When the submission date approaches, you will be sent an individualised link to a Google Drive for submitting materials. Loading…","keywords":""},{"title":"ICASSP 2023 Grand Challenge Rules","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_rules","content":"","keywords":""},{"title":"Teams​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#teams","content":" Teams must have pre-registered and nominated a contact person.Teams can be from one or more institutions. "},{"title":"Transparency​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#transparency","content":" Teams must provide a technical document of up to 2 pages describing the system/model and any external data and pre-existing tools, software and models used.We will publish all technical documents (anonymous or otherwise).Teams are encouraged – but not required – to provide us with access to the system/model and to make their code open source.Teams may reserve the right to be referred to using anonymous code names in the published rank ordering. "},{"title":"What information can I use?​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#what-information-can-i-use","content":" "},{"title":"Training and development​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#training-and-development","content":" For training, teams can not use external data but can expand the official training data through automated modifications and remixing, i.e. data augmentation strategies. However, teams that do this must make a second submission using only the official audio files. Any audio or metadata can be used during training and development, but during evaluation, the enhancement algorithm will not have access to all of the data (see next section). "},{"title":"Evaluation​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#evaluation","content":" The only data that can be used by the Enhancement Processor during evaluation are The audio input signals (the sum of the target and interferers for each hearing aid microphone).The listener characterisation (pure tone air-conduction audiograms and/or digit triple test results).The provided clean audio examples for the target talker (these will not be the same as any of the target utterances.) "},{"title":"Computational restrictions​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#computational-restrictions","content":" Teams may choose to use all, some or none of the parts of the baseline model.Systems must be causal; the output from the hearing aid at time t must not use any information from input samples more than 5 ms into the future (i.e., no information from input samples >t+5 ms).There is no limit on computational cost. Please see this blog post for further explanation of these last two rules about latency and computation time. "},{"title":"Submitting multiple entries​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#submitting-multiple-entries","content":" It is intended that there should be one submission per registered team. Submitting multiple entries is discouraged. "},{"title":"Evaluation of systems​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#evaluation-of-systems","content":" Each signal will be scored using the average of its HASPI and HASQI scores. A system score will then be computed by averaging over the evaluation set. Separate scores will be computed for the real and simulated evaluation sets, along with a summary score formed by their average. Systems will be ranked according to their summary scores with all three (real, simulated and summary) scores being reported. "},{"title":"Intellectual property​","type":1,"pageTitle":"ICASSP 2023 Grand Challenge Rules","url":"docs/icassp2023/taking_part/icassp2023_rules#intellectual-property","content":" The following terms apply to participation in this machine learning challenge (“Challenge”). Entrants may create original solutions, prototypes, datasets, scripts, or other content, materials, discoveries or inventions (a “Submission”). The Challenge is organised by the Challenge Organiser. Entrants retain ownership of all intellectual and industrial property rights (including moral rights) in and to Submissions. As a condition of submission, Entrant grants the Challenge Organiser, its subsidiaries, agents and partner companies, a perpetual, irrevocable, worldwide, royalty-free, and non-exclusive licence to use, reproduce, adapt, modify, publish, distribute, publicly perform, create a derivative work from, and publicly display the Submission. Entrants provide Submissions on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. "},{"title":"Baseline System","type":0,"sectionRef":"#","url":"docs/icassp2023/software/icassp2023_baseline","content":"","keywords":""},{"title":"Baseline performance​","type":1,"pageTitle":"Baseline System","url":"docs/icassp2023/software/icassp2023_baseline#baseline-performance","content":" Baseline performance using amplification with no enhancement will appear shortly. "},{"title":"References​","type":1,"pageTitle":"Baseline System","url":"docs/icassp2023/software/icassp2023_baseline#references","content":" Kates, J.M. and Arehart, K.H., 2021. The hearing-aid speech perception index (HASPI) version 2. Speech Communication, 131, pp.35-46.Kates, J.M. and Arehart, K.H., 2014. "The hearing-aid speech quality index (HASQI) version 2". Journal of the Audio Engineering Society. 62 (3): 99–117. "},{"title":"Learning","type":0,"sectionRef":"#","url":"docs/learning/learning_intro","content":"","keywords":""},{"title":"Speech Intelligibility​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#speech-intelligibility","content":" "},{"title":"What is Speech Intelligibility?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-is-speech-intelligibility","content":" The term Speech Intelligibility is generally used in two different ways. It can refer to how much speech is understood by a listener, or to the number of words correctly identified by a listener as a proportion or percentage of the total number of words. In the Clarity project, we are using the latter definition, i.e., the percentage of words in a sentence that a listener identified correctly. This percentage is the target for your prediction models. Speech intelligibility captures how a listener's ability to participate in conversation is changed when the speech signal is degraded, e.g., by background noise and room reverberation, or is processed, e.g., by a hearing aid. Your prediction model will need to incorporate a model of the hearing abilities of each listener. "},{"title":"How is Speech Intelligibility measured with listeners?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-is-speech-intelligibility-measured-with-listeners","content":" In the Clarity project, a set of listeners listen to a sentence and then say what words they heard. In this project, speech intelligibility is measured as the number of words identified correctly as a percentage of the total number of words in a sentence. You might consider looking at other metrics, such as Word Error Rate (WER), which picks up on, e.g., where listeners insert words not in the original sentence. You might do this if you think that an estimate of WER or other metrics would help your system to estimate speech intelligibility, as defined in the Clarity project. "},{"title":"How is Speech Intelligibility objectively measured by a computer?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-is-speech-intelligibility-objectively-measured-by-a-computer","content":" When fitting a hearing aid, it would be beneficial for an audiologist to be able to use an objective measure of speech intelligibility to determine what signal processing algorithm(s) should be used to compensate for the listener's hearing impairment. Objective measures are also useful when measured speech intelligibility scores are unavailable, such as when developing a machine learning-based hearing aid algorithm or some other speech enhancement method. Another advantage of non-intrusive measures is that they do not require time-alignment of processed and reference signals. Objective measures - or metrics - of speech intelligibility are used to allow a computer to estimate the likely performance of humans in listening tests. The main goal of entries to the prediction challenge is to produce one of these measures that performs well for listeners with hearing loss. There are two broad classes of speech intelligibility models: Intrusive metrics (also known as double-ended) are most common. This is where the intelligibility is estimated by comparing the degraded or processed speech signal with the original clean speech signal.Non-intrusive metrics (also known as single-ended or blind) are less well developed. This is where intelligibility is estimated from the degraded or processed speech signal alone. In the Clarity project, both types of metrics are of interest. Intrusive metrics will be more accurate in many cases. However, there are hearing aid processes where the speech content is shifted in frequency, which will defeat most current intrusive speech intelligibility metrics. We also hypothesise that there might be issues with intrusive metrics and machine learning approaches in hearing aids that revoice the original speech. "},{"title":"What speech intelligibility models already exist and what are they used for?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-speech-intelligibility-models-already-exist-and-what-are-they-used-for","content":" There aren't many speech intelligibility models that consider hearing impairment, but one that does is HASPI by Kates and Arehart. In this seminar from the first Clarity workshop, James Kates discusses speech intelligibility models with a focus on the ones he has developed. He also discusses the speech quality metric HASQI. If you're interested in using HASPI or HASQI for the challenge, James Kates has kindly made the MATLAB code and user guide available for download. Click arrow to see synopsis. Signal degradations, such as additive noise and nonlinear distortion, can reduce the intelligibility and quality of a speech signal. Predicting intelligibility and quality for hearing aids is especially difficult since these devices may contain intentional nonlinear distortion designed to make speech more audible to a hearing-impaired listener. This speech processing often takes the form of time-varying multichannel gain adjustments. Intelligibility and quality metrics used for hearing aids and hearing-impaired listeners must therefore consider the trade-offs between audibility and distortion introduced by hearing-aid speech envelope modifications. This presentation uses the Hearing Aid Speech Perception Index (HASPI) and the Hearing Aid Speech Quality Index (HASQI) to predict intelligibility and quality, respectively. These indices incorporate a model of the auditory periphery that can be adjusted to reflect hearing loss. They have been trained on intelligibility scores and quality ratings from both normal-hearing and hearing-impaired listeners for a wide variety of signal and processing conditions. The basics of the metrics are explained, and the metrics are then used to analyse the effects of additive noise on speech, to evaluate noise suppression algorithms, and to measure differences among commercial hearing aids. "},{"title":"Hearing Loss​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#hearing-loss","content":" There are many types of hearing loss, but the focus of the Clarity project is the hearing loss that happens with ageing. This is a form of sensorineural hearing loss. "},{"title":"How does hearing loss affect the perception of audio signals, and how do modern hearing aids process sound to help with this?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#how-does-hearing-loss-affect-the-perception-of-audio-signals-and-how-do-modern-hearing-aids-process-sound-to-help-with-this","content":" In this seminar from the first Clarity workshop, Karolina Smeds from ORCA Europe and WS Audiology discusses the effects of hearing loss and the hearing aid processing strategies that are typically used to counter the sensory deficits. Details Click arrow to see synposis. Hearing loss leads to several unwanted effects. Loss of audibility for soft sounds is one effect, but also when amplification is used to create audibility for soft sounds, many suprathreshold deficits remain. The most common type of hearing loss is a cochlear hearing loss, where haircells or nerve synapses in the cochlea are damaged. Ageing and noise exposure are the most common causes of cochlear hearing loss. This type of hearing loss is associated with atypical loudness perception and difficulties in noisy situations. Background noise masks for instance speech to a higher degree than for a person with healthy hair cells. This explains why listening to speech-in-noise (SPIN) is such an important topic to work on. A brief introduction to signal processing in hearing aids will be presented. With the use of frequency-specific amplification and compression (automatic gain control, AGC), hearing aids are usually doing a good job in compensating for reduced audibility and for atypical suprathreshold loudness perception. However, it is more difficult to compensate for the increased masking effect. Some examples of strategies will be presented. Finally, natural conversations in noise will be discussed. The balance between being able to have a conversation with a specific communication partner in a group of people and being able to switch attention if someone else starts to talk will be touched upon. "},{"title":"Prediction model​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#prediction-model","content":" "},{"title":"Do I have to use a separate hearing loss model?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#do-i-have-to-use-a-separate-hearing-loss-model","content":" No is the short answer! In the baseline, we've used the Cambridge hearing loss model and a separate binaural speech intelligibility model. Another approach would be to create a single model that encapsulates the combined effects of hearing loss and speech perception. "},{"title":"What should the output of my prediction model be?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#what-should-the-output-of-my-prediction-model-be","content":" The output should include a predicted speech intelligibility score per input signal, specifically, an estimate of the number of words correct as a percentage of the total number of words in the signal. "},{"title":"Data​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#data","content":" "},{"title":"Do you have suggestions for expanding the training data?​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#do-you-have-suggestions-for-expanding-the-training-data","content":" The prediction challenge data is limited by having to get the ground truth from listening tests on people with a hearing loss. We look forward to seeing what approaches teams use to help overcome this limitation, such as using unsurpervised models, data augmentation or generating additional ground truth data using a pre-existing model. The baseline model includes a hearing loss and speech intelligibility model that could be used for creating additional pre-training data. There are other models that you might consider where code is available. None has been checked by the Clarity team. Katerina Zmolikova has made her Pytorch version of the baseline hearing impairment and speech intelligibility model available. Both model fit a neural network framework, are faster but more approximate (see graphs on github).HASQI and HASPI are quality and speech intelligibility metrics designed to work for people with a hearing impairment. James Kates explains more about these above. MATLAB code HASPI v2 and HASQI v2 are available, along with the user guide.STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model by Ryandhimas Zezario et al. is monaural and non-intrusive using Python, Keras and TensorFlow. It doesn't model the effect of hearing loss. An alternative is Asger Heidemann Andersen's MATLAB code. "},{"title":"Missing data​","type":1,"pageTitle":"Learning","url":"docs/learning/learning_intro#missing-data","content":" We have audiograms for all our listening panel. But for other characterisations of hearing, only some of the panel have provided data. Therefore there is missing data that has to be dealt with. One approach to the missing data is to just ignore it and just use the audiograms. The problem with this approach is that audiograms only quantifies the hearing threshold, and our speech in noise audio samples were not played that quietly. Nevertheless, audiograms are the most common way of characterising hearing loss. Alternatively, a method to use the partial data could be developed, and we expect this would help with speech intelligibility prediction. You will find plenty of data science blog posts, e.g. towards data science discussing different approaches. A key question is whether the missing data is 'missing at random' i.e. is the distribution of the missing data expected to be the same as that of the present data? For the prediction challenge, this would mean the missing triple-digit-test values are coming from some random sample of the listeners, who'd be no different from the listeners who did complete the triple-digital-test. Unfortunately, this might not be true, because the failure to complete the triple-digit-tests could well correlate with hearing loss (e.g. maybe older people with more hearing loss were less likely to do the test). The Clarity data is probably 'missing not at random'. One simple solution is to delete examples with missing data, but the loss of so much data probably makes this undesirable. A more sophisticated approach is to fill gaps in data via imputation i.e. first estimate values for the missing data and then treat the dataset as complete. A couple of simple approaches for imputation are: (i) use the mean value from the dataset for missing values, and (ii) create a model to estimate the missing data from the audiograms. There are other approaches in data science that could be exploited such as coding the missing values into a 'N/A' category within the input data. "},{"title":"ICASSP 2023 Submission","type":0,"sectionRef":"#","url":"docs/icassp2023/taking_part/icassp2023_submission","content":"","keywords":""},{"title":"What evaluation data is provided?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#what-evaluation-data-is-provided","content":" There will be two sets of evaluation data: i) the simulate set consisting of 1500 scenes generated in the same way as the training and development data (eval1), ii) the real data consisting of real acoustic mixtures (eval2). For details see the data description page. For each scene, you are provided with the signals received at each of the three microphones on the left and right hearing aid device. You will also be provided with JSON or csv formatted metadata consisting of the audiograms for a set of listeners anda mapping of which listeners will listen to which scenes. There will also be some clean example utterances from the target talker, that are not the same as the target utterance, but which can be used to identify the target talker, i.e., to disambiguate scenes in which other speakers are present. For HASPI/HASQI evaluation, there will be one listener per scene and the scene-listener mapping will be the same for all teams. "},{"title":"What audio do I need to submit?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#what-audio-do-i-need-to-submit","content":" You must submit the stereo audio signals produced at the output of your enhancement stage, which the organisers will process by the hearing aid amplification stage and the HASPI/HASQI evaluation metric. Signals should be submitted as stereo, floating point wav format signals, at the same sampling rate as the signals provided "},{"title":"Naming and packaging signals​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#naming-and-packaging-signals","content":" Your processed signals should be named using the conventions used by the baseline system, i.e., <Scene ID>_<Listener ID>_enhanced.wav and explained on the data page. Place the processed signals for the two sets into separate directories named eval1 and eval2. These should be placed in a directory whose name is the unique team ID that you will be sent, e.g., ICASSP2023_E001 and then packaged using zip or tar or any standard packaging tool, e.g., to make a packaged file called <TEAM_ID>.zip The packaged file will have the following structure, ICASSP2023_E001 ├── eval1 (1500 processed signals) └── eval2 (1500 processed signals) The resulting file should be about 4 GB. Upload the packaged data to the Google Drive link that you will have been sent. "},{"title":"Using head rotation data and/or extended training data​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#using-head-rotation-data-andor-extended-training-data","content":" We would like to be able to separately evaluate the benefit of using the head rotation and extra training data, so in accordance with the challenge rules, If you have trained on data which was not included in the core database, then please also provide outputs of a system trained only with the standard data. If you have made use of the head rotation data you should also provide outputs of an equivalent system that does not use the head rotation data. If you have used extra training data and/or the head rotation data, then please package the outputs separately using the following naming convention, ‹TEAM_ID›.zip - standard training data and no head rotation (all teams) ‹TEAM_ID›_hr.zip - standard data and using head rotation ‹TEAM_ID›_data.zip - extended training data without using head rotation ‹TEAM_ID›_hr_data.zip - extended training data and using head rotation "},{"title":"Technical report​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#technical-report","content":" For every entry, a technical report needs to be uploaded to the Google Drive along with your evaluation signals - see here for deadline. The draft needs to be sufficiently complete for us to judge whether your system is compliant with the challenge rules.Your report should include an abstract and introduction and sections on experimental setup/methodology including system information and model/network architecture, evaluation/results, discussion, conclusion and references. Please provide an estimation of the computational resources needed. You must describe any external data and pre-existing tools, software and models used.The report can be placed in the Google Drive alongside your data.The top five systems will be invited to submit a paper to the ICASSP 2023 special session. "},{"title":"How will intellectual property be handled?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#how-will-intellectual-property-be-handled","content":" See here under Intellectual Property. "},{"title":"Where do I submit the signals?​","type":1,"pageTitle":"ICASSP 2023 Submission","url":"docs/icassp2023/taking_part/icassp2023_submission#where-do-i-submit-the-signals","content":" When you have registered you will receive a link to a Google Drive to which you will be able to securely upload your signals. We also encourage you to submit your enhancement code via this link. Materials uploaded will be visible to the Clarity Team but not to other entrants. warning Note, in order to use the Google Drive you will need to have a Google account. If you anticipate problems using Google then please make arrangements to send us the materials by other means, e.g., via a service such as WeTransfer or similar. "},{"title":"Modelling the scenario","type":0,"sectionRef":"#","url":"docs/icassp2023/data/cec2_scenario","content":"","keywords":""},{"title":"The scenario​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-scenario","content":" We want entrants to improve speech in the presence of background noise; see Figure 1. On the left there is a person with a quantified hearing loss who is listening to speech from the target talker on the right. Both people are in a living room. There is interfering noise from a number of sources (a TV and washing machine in this case). The speech and noise are sensed by microphones on the hearing aids of the listener. The task is to take these microphone feeds and the listener’s hearing characteristics, and produce signals for the hearing aid processor that will make the speech more intelligible. We will evaluate the success of the processing using a combination of objective metrics for speech intelligibility and quality. Figure 1. The scenario involves one talker, a listener who rotates their head, and at least two common sources of unwanted sound. "},{"title":"Baseline system and software tools​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#baseline-system-and-software-tools","content":" Challenge entrants are supplied with an end-to-end baseline system. Figure 2 shows a simplified schematic, which comprises: Figure 2. Baseline schematic. A scene generator (blue box) creates speech in noise (SPIN).A listener is chosen (green ellipse), so the processing can be individualised for each listener with quantified hearing characteristics.The speech is enhanced (pink box). The entrants are tasked to improve this.The hearing aid we provide then amplifies the improved speech (yellow box)The amplified and improved speech that is emitted by your hearing aid is then passed to the prediction stage (red boxes). A combination of HASPI and HASQI is the output of the objective metrics for intelligibility and quality respectively (Kates and Arehart, 2021, Kates and Arehart 2014).All software tools will be available as a single GitHub repository. The software is split into core components e.g. HASPI, HASQI, and additional tools e.g. a hearing loss model. All software is open-source and in Python. "},{"title":"Room geometry​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#room-geometry","content":" Cuboid rooms with dimensions length LLL by width WWW by height HHH.Length LLL set using a uniform probability distribution random number generator with 3<L(m)≤83 < L(m) \\le 83<L(m)≤8.Height HHH set using a Gaussian distribution random number generator with a mean of 2.7 m and standard deviation of 0.8 m.Area L×WL \\times WL×W set using a Gaussian distribution random number generator with mean 17.7 m2^22 and standard deviation of 5.5 m2^22 "},{"title":"Room materials​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#room-materials","content":" One of the walls of the room is randomly selected for the location of the door. The door can be at any position with the constraint of being at least 20 cm from the corner of the wall. A window is placed on one of the other three walls. The window could be at any position of the wall but at 1.9 m height and at 0.4 m from any corner. The curtains are simulated to the side of the window. For larger rooms, a second window and curtains are simulated following a similar methodology. A sofa is simulated at a random position as a layer on the wall and the floor. Finally, a rug is simulated at a random location on the floor. "},{"title":"The listener (receiver)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-listener-receiver","content":" The listener has position, r⃗=(xr,yr,zr)\\vec{r} = (x_r,y_r,z_r)r=(xr​,yr​,zr​) This is positioned within the room using uniform probability distribution random number generators for the x and y coordinates (see Figure 2 for origin location). There are constraints to ensure that the receiver is not too close to the wall: −W/2+1≤xr≤W/2−1-W/2+1 \\le x_r \\le W/2-1−W/2+1≤xr​≤W/2−11≤yr≤L−11 \\le y_r \\le L-11≤yr​≤L−1zrz_rzr​ either 1.2 m (sitting) or 1.6 m (standing). "},{"title":"Head rotation​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#head-rotation","content":" The listener is initially oriented away from the target and will turn to be roughly facing the target talker around the time when the target speech starts Orientation of listener at start of the sample ~25° from facing the target (standard deviation = 5°), limited to +-2 standard deviations.Start of rotation is between -0.635 s to 0.865s (rectangular probability)The rotation lasts for 200 ms (standard deviation =10 ms)Orientation after rotation is 0-10° (random with rectangular probability distribution). "},{"title":"The target talker​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-target-talker","content":" ​​The target talker has position t⃗=(xt,yt,zt)\\vec{t} = (x_t,y_t,z_t)t=(xt​,yt​,zt​) The target talker is positioned within the room using uniform probability distribution random number generators for the coordinates. Constraints ensure the target is not too close to the wall or receiver. It is set to have the same height as the receiver. −W/2+1≤xt≤W/2−1-W/2+1 \\le x_t \\le W/2-1−W/2+1≤xt​≤W/2−11≤yt≤L−11 \\le y_t \\le L-11≤yt​≤L−1∣r−t∣>1|r-t| > 1∣r−t∣>1zt=zrz_t=z_rzt​=zr​ A speech directivity pattern is used, which is directed at the listener. The target speech starts between 1.0 and 1.5 seconds into the mixed sound files (rectangular probability distribution). "},{"title":"The interferers​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#the-interferers","content":" The interferers have position i⃗1,2,3=(xi,yi,zi)\\vec{i}_{1,2,3} = (x_i,y_i,z_i)i1,2,3​=(xi​,yi​,zi​) Each interferer is modelled as an omnidirectional point source. They will be radiating: speech, noise or music. They are placed within the room using uniform probability distribution random number generators for the coordinates. The following constraints ensure the interferer is not too close to the wall or listener. However, interferers are independently positioned with no constraint on their position relative to each other. They are set to be at the same height as the listener. Note, this means that the interferers can be at any angle relative to the listener. −W/2+1≤xi≤W/2−1-W/2+1 \\le x_i \\le W/2-1−W/2+1≤xi​≤W/2−11≤yi≤L−11 \\le y_i \\le L-11≤yi​≤L−1∣r−i∣>1|r-i| \\gt 1∣r−i∣>1zi=zrz_i = z_rzi​=zr​ The interferers are present over the whole mixed sound file. "},{"title":"Signal-to-noise ratio (SNR)​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#signal-to-noise-ratio-snr","content":" The SNR of the mixtures are engineered to achieve a suitable range of speech intelligibility values. A desired signal-to-noise ratio, SNRD_DD​ (dB), is chosen at random. This is generated with a uniform probability distribution between limits determined by pilot listening tests. The better ear SNR (BE_SNR) models the better ear effect in binaural listening. It is calculated for the reference channel (channel 1, which corresponds to the front microphone of the hearing aid). This value is used to scale all interferer channels. The procedure is described below. For the reference channel, The segment of the summed interferers that overlaps with the target (without padding), i′i'i′, and the target (without padding), t′t't′, are extractedSpeech-weighted SNRs are calculated for each ear, SNRL_LL​ and SNRR_RR​: Signals i′i'i′ and t′t't′ are separately convolved with a speech-weighting filter, h (specified below).The rms is calculated for each convolved signal.SNRL_LL​ and SNRR_RR​ are calculated as the ratio of these rms values. The BE_SNR is selected as the maximum of the two SNRs: BE_SNR = max(SNRL_LL​ and SNRR_RR​). Then per channel, The summed interferer signal, i, is scaled by the BE_SNR i=i×i = i \\timesi=i× BE_SNR Finally, i is scaled as follows: i=i×10−SNRD/20i = i \\times 10^{-SNR_D/20}i=i×10−SNRD​/20 The speech-weighting filter is an FIR designed using the host window method [2, 3]. The frequency response is shown in Figure 2. The specification is: Frequency (Hz) = [0, 150, 250, 350, 450, 4000, 4800, 5800, 7000, 8500, 9500, 22050]Magnitude of transfer function at each frequency = [0.0001, 0.0103, 0.0261, 0.0419, 0.0577, 0.0577, 0.046, 0.0343, 0.0226, 0.0110, 0.0001, 0.0001] Figure 2, Speech weighting filter transfer function graph. "},{"title":"References​","type":1,"pageTitle":"Modelling the scenario","url":"docs/icassp2023/data/cec2_scenario#references","content":" Schröder, D. and Vorländer, M., 2011, January. RAVEN: A real-time framework for the auralization of interactive virtual environments. In Proceedings of Forum Acusticum 2011 (pp. 1541-1546). Denmark: Aalborg.Abed, A.H.M. and Cain, G.D., 1978. Low-pass digital filtering with the host windowing design technique. Radio and Electronic Engineer, 48(6), pp.293-300.Abed, A.E. and Cain, G., 1984. The host windowing technique for FIR digital filter design. IEEE transactions on acoustics, speech, and signal processing, 32(4), pp.683-694. 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mainWrapper_z2l0"><main><header class="hero hero--primary heroBanner_qdFl"><div class="container"><h1 class="hero__title"> The Clarity Project </h1> <p class="hero__subtitle"> The Project Timeline </p> <div class="buttons_AeoN"> </div> </div> </header><style data-emotion="css s8g20b">.css-s8g20b{background-color:#fff;color:rgba(0, 0, 0, 0.87);-webkit-transition:box-shadow 300ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:box-shadow 300ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;border-radius:4px;box-shadow:0px 2px 1px -1px rgba(0,0,0,0.2),0px 1px 1px 0px rgba(0,0,0,0.14),0px 1px 3px 0px rgba(0,0,0,0.12);padding:32px;margin:48px;}</style><div class="MuiPaper-root MuiPaper-elevation MuiPaper-rounded MuiPaper-elevation1 css-s8g20b"><h2> The Challenges </h2> <style data-emotion="css 1anx036">.css-1anx036{margin:0;font-family:"Roboto","Helvetica","Arial",sans-serif;font-weight:500;font-size:1.25rem;line-height:1.6;letter-spacing:0.0075em;}</style><h6 class="MuiTypography-root MuiTypography-h6 css-1anx036">The project is running three rounds of enhancement and prediction challenges. <p></p><ul><li> <!-- -->CEC1 / CPC1, 2021 - 2022 - Simple indoor scenes, one interferer<!-- --> </li> <li> <!-- -->CEC2 / CPC2, 2022 - 2023 - Complex indoor scenes, multiple interferers, head motion<!-- --> </li> <li> <!-- -->CEC3 / CPC3, 2024 - 2025 - Dynamic outdoor scenes, moving sources, head motion<!-- --> </li> </ul>We have now completed evaluation of the 2nd prediction challenge (CPC2) and are busy preparing the 3rd enhancement challenge (CEC3) for launch in early 2024. <p></p></h6> </div><div aria-owns="rmiz-modal-" data-rmiz=""><div data-rmiz-content="not-found" style="visibility:visible"><style data-emotion="css s8g20b">.css-s8g20b{background-color:#fff;color:rgba(0, 0, 0, 0.87);-webkit-transition:box-shadow 300ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:box-shadow 300ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;border-radius:4px;box-shadow:0px 2px 1px -1px rgba(0,0,0,0.2),0px 1px 1px 0px 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tuxzvu">.css-tuxzvu{box-sizing:border-box;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;width:100%;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;margin-top:-8px;width:calc(100% + 8px);margin-left:-8px;}.css-tuxzvu>.MuiGrid-item{padding-top:8px;}.css-tuxzvu>.MuiGrid-item{padding-left:8px;}</style><div class="MuiGrid-root MuiGrid-container MuiGrid-spacing-xs-1 css-tuxzvu"> <style data-emotion="css ht032f">.css-ht032f{box-sizing:border-box;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-flex-basis:25%;-ms-flex-preferred-size:25%;flex-basis:25%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:25%;}@media (min-width:600px){.css-ht032f{-webkit-flex-basis:25%;-ms-flex-preferred-size:25%;flex-basis:25%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:25%;}}@media (min-width:900px){.css-ht032f{-webkit-flex-basis:25%;-ms-flex-preferred-size:25%;flex-basis:25%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:25%;}}@media (min-width:1200px){.css-ht032f{-webkit-flex-basis:25%;-ms-flex-preferred-size:25%;flex-basis:25%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:25%;}}@media (min-width:1536px){.css-ht032f{-webkit-flex-basis:25%;-ms-flex-preferred-size:25%;flex-basis:25%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:25%;}}</style><div class="MuiGrid-root MuiGrid-grid-xs-3 text--right css-ht032f"><div style="padding:20px" class="tutorial_details_KouO"><div class="post_tag"> <!-- -->Getting Started<!-- --> </div> <ul class="nobullets_MCHB"><li> <!-- -->Will Bailey<!-- --> <style data-emotion="css 1k33q06">.css-1k33q06{-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;width:1em;height:1em;display:inline-block;fill:currentColor;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;-webkit-transition:fill 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:fill 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;font-size:1.25rem;}</style><svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="PersonOutlinedIcon"><path d="M12 6c1.1 0 2 .9 2 2s-.9 2-2 2-2-.9-2-2 .9-2 2-2m0 10c2.7 0 5.8 1.29 6 2H6c.23-.72 3.31-2 6-2m0-12C9.79 4 8 5.79 8 8s1.79 4 4 4 4-1.79 4-4-1.79-4-4-4m0 10c-2.67 0-8 1.34-8 4v2h16v-2c0-2.66-5.33-4-8-4"></path></svg> </li> <li> <!-- -->May 2022<!-- --> <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="CalendarMonthOutlinedIcon"><path d="M19 4h-1V2h-2v2H8V2H6v2H5c-1.11 0-1.99.9-1.99 2L3 20c0 1.1.89 2 2 2h14c1.1 0 2-.9 2-2V6c0-1.1-.9-2-2-2m0 16H5V10h14zm0-12H5V6h14zM9 14H7v-2h2zm4 0h-2v-2h2zm4 0h-2v-2h2zm-8 4H7v-2h2zm4 0h-2v-2h2zm4 0h-2v-2h2z"></path></svg> </li> <li>Difficulty: <!-- -->Easy<!-- --> <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="PsychologyOutlinedIcon"><path d="m15.82 7.22-1 .4c-.21-.16-.43-.29-.67-.39L14 6.17c-.02-.1-.1-.17-.2-.17h-1.6c-.1 0-.18.07-.19.17l-.15 1.06c-.24.1-.47.23-.67.39l-1-.4c-.09-.03-.2 0-.24.09l-.8 1.38c-.05.09-.03.2.05.26l.85.66c-.03.12-.05.26-.05.39s.01.26.03.39l-.84.66c-.08.06-.1.17-.05.25l.8 1.39c.05.09.15.12.25.09l.99-.4c.21.16.43.29.68.39l.14 1.06c.02.1.1.17.2.17h1.6c.1 0 .18-.07.2-.17l.15-1.06c.24-.1.47-.23.67-.39l.99.4c.09.04.2 0 .24-.09l.8-1.39c.05-.09.03-.19-.05-.25l-.83-.66c.02-.13.03-.26.03-.39 0-.14-.01-.27-.03-.39l.85-.66c.08-.06.1-.17.05-.26l-.8-1.38c-.05-.09-.16-.12-.25-.09M13 11.43c-.79 0-1.43-.64-1.43-1.43s.64-1.43 1.43-1.43 1.43.64 1.43 1.43-.64 1.43-1.43 1.43"></path><path d="M19.94 9.06c-.43-3.27-3.23-5.86-6.53-6.05C13.27 3 13.14 3 13 3 9.47 3 6.57 5.61 6.08 9l-1.93 3.48c-.41.66.07 1.52.85 1.52h1v2c0 1.1.9 2 2 2h1v3h7v-4.68c2.62-1.25 4.35-4.08 3.94-7.26m-5.05 5.57-.89.42V19h-3v-3H8v-4H6.7l1.33-2.33C8.21 7.06 10.35 5 13 5c2.76 0 5 2.24 5 5 0 2.09-1.29 3.88-3.11 4.63"></path></svg> </li> <li>Time: <!-- -->15<!-- -->min <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="HourglassBottomOutlinedIcon"><path d="m18 22-.01-6L14 12l3.99-4.01L18 2H6v6l4 4-4 3.99V22zM8 7.5V4h8v3.5l-4 4z"></path></svg> </li> </ul> </div> </div><style data-emotion="css 1ae9z1d">.css-1ae9z1d{box-sizing:border-box;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-flex-basis:75%;-ms-flex-preferred-size:75%;flex-basis:75%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:75%;}@media (min-width:600px){.css-1ae9z1d{-webkit-flex-basis:75%;-ms-flex-preferred-size:75%;flex-basis:75%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:75%;}}@media (min-width:900px){.css-1ae9z1d{-webkit-flex-basis:75%;-ms-flex-preferred-size:75%;flex-basis:75%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:75%;}}@media (min-width:1200px){.css-1ae9z1d{-webkit-flex-basis:75%;-ms-flex-preferred-size:75%;flex-basis:75%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:75%;}}@media (min-width:1536px){.css-1ae9z1d{-webkit-flex-basis:75%;-ms-flex-preferred-size:75%;flex-basis:75%;-webkit-box-flex:0;-webkit-flex-grow:0;-ms-flex-positive:0;flex-grow:0;max-width:75%;}}</style><div class="MuiGrid-root MuiGrid-grid-xs-9 css-1ae9z1d" style="padding:20px"><h2> <!-- -->01 Installing Clarity Enhancement Challenge Tools and Interacting with Metadata<!-- --> </h2> <p> <!-- -->Basic installation of Clarity Challenge tools and using the scene, listener and scene_listeners metadata to access information about individual scenes.<!-- --> <!-- --> </p> <a href="http://colab.research.google.com/github/claritychallenge/clarity/blob/master/notebooks/01_Installing_clarity_tools_and_using_metadata.ipynb" target="_blank" rel="noopener noreferrer" style="padding:0;width:auto;height:auto;border-width:0"><img style="width:200px" src="https://colab.research.google.com/assets/colab-badge.svg" alt="SVG as an image"></a> </div><div class="MuiGrid-root MuiGrid-grid-xs-3 text--right css-ht032f"><div style="padding:20px" class="tutorial_details_KouO"><div class="post_tag"> <!-- -->Getting Started<!-- --> </div> <ul class="nobullets_MCHB"><li> <!-- -->Will Bailey<!-- --> <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="PersonOutlinedIcon"><path d="M12 6c1.1 0 2 .9 2 2s-.9 2-2 2-2-.9-2-2 .9-2 2-2m0 10c2.7 0 5.8 1.29 6 2H6c.23-.72 3.31-2 6-2m0-12C9.79 4 8 5.79 8 8s1.79 4 4 4 4-1.79 4-4-1.79-4-4-4m0 10c-2.67 0-8 1.34-8 4v2h16v-2c0-2.66-5.33-4-8-4"></path></svg> </li> <li> <!-- -->July 2022<!-- --> <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="CalendarMonthOutlinedIcon"><path d="M19 4h-1V2h-2v2H8V2H6v2H5c-1.11 0-1.99.9-1.99 2L3 20c0 1.1.89 2 2 2h14c1.1 0 2-.9 2-2V6c0-1.1-.9-2-2-2m0 16H5V10h14zm0-12H5V6h14zM9 14H7v-2h2zm4 0h-2v-2h2zm4 0h-2v-2h2zm-8 4H7v-2h2zm4 0h-2v-2h2zm4 0h-2v-2h2z"></path></svg> </li> <li>Difficulty: <!-- -->Easy<!-- --> <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="PsychologyOutlinedIcon"><path d="m15.82 7.22-1 .4c-.21-.16-.43-.29-.67-.39L14 6.17c-.02-.1-.1-.17-.2-.17h-1.6c-.1 0-.18.07-.19.17l-.15 1.06c-.24.1-.47.23-.67.39l-1-.4c-.09-.03-.2 0-.24.09l-.8 1.38c-.05.09-.03.2.05.26l.85.66c-.03.12-.05.26-.05.39s.01.26.03.39l-.84.66c-.08.06-.1.17-.05.25l.8 1.39c.05.09.15.12.25.09l.99-.4c.21.16.43.29.68.39l.14 1.06c.02.1.1.17.2.17h1.6c.1 0 .18-.07.2-.17l.15-1.06c.24-.1.47-.23.67-.39l.99.4c.09.04.2 0 .24-.09l.8-1.39c.05-.09.03-.19-.05-.25l-.83-.66c.02-.13.03-.26.03-.39 0-.14-.01-.27-.03-.39l.85-.66c.08-.06.1-.17.05-.26l-.8-1.38c-.05-.09-.16-.12-.25-.09M13 11.43c-.79 0-1.43-.64-1.43-1.43s.64-1.43 1.43-1.43 1.43.64 1.43 1.43-.64 1.43-1.43 1.43"></path><path d="M19.94 9.06c-.43-3.27-3.23-5.86-6.53-6.05C13.27 3 13.14 3 13 3 9.47 3 6.57 5.61 6.08 9l-1.93 3.48c-.41.66.07 1.52.85 1.52h1v2c0 1.1.9 2 2 2h1v3h7v-4.68c2.62-1.25 4.35-4.08 3.94-7.26m-5.05 5.57-.89.42V19h-3v-3H8v-4H6.7l1.33-2.33C8.21 7.06 10.35 5 13 5c2.76 0 5 2.24 5 5 0 2.09-1.29 3.88-3.11 4.63"></path></svg> </li> <li>Time: <!-- -->15<!-- -->min <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="HourglassBottomOutlinedIcon"><path d="m18 22-.01-6L14 12l3.99-4.01L18 2H6v6l4 4-4 3.99V22zM8 7.5V4h8v3.5l-4 4z"></path></svg> </li> </ul> </div> </div><div class="MuiGrid-root MuiGrid-grid-xs-9 css-1ae9z1d" style="padding:20px"><h2> <!-- -->02 Running the CEC2 baseline from the commandline<!-- --> </h2> <p> <!-- -->An explanation of how to run the CEC2 baseline using the Python enhance.py and evaluate.py scripts from the commandline interface.<!-- --> <!-- --> </p> <a href="http://colab.research.google.com/github/claritychallenge/clarity/blob/master/notebooks/02_Running_the_CEC2_baseline_from_commandline.ipynb" target="_blank" rel="noopener noreferrer" style="padding:0;width:auto;height:auto;border-width:0"><img style="width:200px" src="https://colab.research.google.com/assets/colab-badge.svg" alt="SVG as an image"></a> </div><div class="MuiGrid-root MuiGrid-grid-xs-3 text--right css-ht032f"><div style="padding:20px" class="tutorial_details_KouO"><div class="post_tag"> <!-- -->Getting Started<!-- --> </div> <ul class="nobullets_MCHB"><li> <!-- -->Will Bailey<!-- --> <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="PersonOutlinedIcon"><path d="M12 6c1.1 0 2 .9 2 2s-.9 2-2 2-2-.9-2-2 .9-2 2-2m0 10c2.7 0 5.8 1.29 6 2H6c.23-.72 3.31-2 6-2m0-12C9.79 4 8 5.79 8 8s1.79 4 4 4 4-1.79 4-4-1.79-4-4-4m0 10c-2.67 0-8 1.34-8 4v2h16v-2c0-2.66-5.33-4-8-4"></path></svg> </li> <li> <!-- -->May 2022<!-- --> <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="CalendarMonthOutlinedIcon"><path d="M19 4h-1V2h-2v2H8V2H6v2H5c-1.11 0-1.99.9-1.99 2L3 20c0 1.1.89 2 2 2h14c1.1 0 2-.9 2-2V6c0-1.1-.9-2-2-2m0 16H5V10h14zm0-12H5V6h14zM9 14H7v-2h2zm4 0h-2v-2h2zm4 0h-2v-2h2zm-8 4H7v-2h2zm4 0h-2v-2h2zm4 0h-2v-2h2z"></path></svg> </li> <li>Difficulty: <!-- -->Easy<!-- --> <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="PsychologyOutlinedIcon"><path d="m15.82 7.22-1 .4c-.21-.16-.43-.29-.67-.39L14 6.17c-.02-.1-.1-.17-.2-.17h-1.6c-.1 0-.18.07-.19.17l-.15 1.06c-.24.1-.47.23-.67.39l-1-.4c-.09-.03-.2 0-.24.09l-.8 1.38c-.05.09-.03.2.05.26l.85.66c-.03.12-.05.26-.05.39s.01.26.03.39l-.84.66c-.08.06-.1.17-.05.25l.8 1.39c.05.09.15.12.25.09l.99-.4c.21.16.43.29.68.39l.14 1.06c.02.1.1.17.2.17h1.6c.1 0 .18-.07.2-.17l.15-1.06c.24-.1.47-.23.67-.39l.99.4c.09.04.2 0 .24-.09l.8-1.39c.05-.09.03-.19-.05-.25l-.83-.66c.02-.13.03-.26.03-.39 0-.14-.01-.27-.03-.39l.85-.66c.08-.06.1-.17.05-.26l-.8-1.38c-.05-.09-.16-.12-.25-.09M13 11.43c-.79 0-1.43-.64-1.43-1.43s.64-1.43 1.43-1.43 1.43.64 1.43 1.43-.64 1.43-1.43 1.43"></path><path d="M19.94 9.06c-.43-3.27-3.23-5.86-6.53-6.05C13.27 3 13.14 3 13 3 9.47 3 6.57 5.61 6.08 9l-1.93 3.48c-.41.66.07 1.52.85 1.52h1v2c0 1.1.9 2 2 2h1v3h7v-4.68c2.62-1.25 4.35-4.08 3.94-7.26m-5.05 5.57-.89.42V19h-3v-3H8v-4H6.7l1.33-2.33C8.21 7.06 10.35 5 13 5c2.76 0 5 2.24 5 5 0 2.09-1.29 3.88-3.11 4.63"></path></svg> </li> <li>Time: <!-- -->15<!-- -->min <svg class="MuiSvgIcon-root MuiSvgIcon-fontSizeSmall css-1k33q06" focusable="false" aria-hidden="true" viewBox="0 0 24 24" data-testid="HourglassBottomOutlinedIcon"><path d="m18 22-.01-6L14 12l3.99-4.01L18 2H6v6l4 4-4 3.99V22zM8 7.5V4h8v3.5l-4 4z"></path></svg> </li> </ul> </div> </div><div class="MuiGrid-root MuiGrid-grid-xs-9 css-1ae9z1d" style="padding:20px"><h2> <!-- -->03 Running the CEC2 baseline from Python<!-- --> </h2> <p> <!-- -->An explanation of the process used inside the evaluate function in the recipes folder.Covers loading audio, basic enhancement using NAL - R amplification and generating HASPI scores.<!-- --> <!-- --> </p> <a href="http://colab.research.google.com/github/claritychallenge/clarity/blob/master/notebooks/03_Running_the_CEC2_baseline_from_python.ipynb" target="_blank" rel="noopener noreferrer" style="padding:0;width:auto;height:auto;border-width:0"><img style="width:200px" src="https://colab.research.google.com/assets/colab-badge.svg" alt="SVG as an image"></a> </div> </div> </div> </div> </section><p> <br>We are providing these tutorials to help you get started with our software. We will be publishing new ones regularly over the coming months. 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